CINXE.COM

<!DOCTYPE html> <html lang="en" xmlns:fb="http://www.facebook.com/2008/fbml" class="wf-loading"> <head prefix="og: https://ogp.me/ns# fb: https://ogp.me/ns/fb# academia: https://ogp.me/ns/fb/academia#"> <meta charset="utf-8"> <meta name=viewport content="width=device-width, initial-scale=1"> <meta rel="search" type="application/opensearchdescription+xml" href="/open_search.xml" title="Academia.edu"> <title>Sahrim Lias | UiTM Shah Alam - Academia.edu</title>  <link href="//a.academia-assets.com/images/favicons/favicon-production.ico" rel="shortcut icon" type="image/vnd.microsoft.icon"> <link rel="apple-touch-icon" sizes="57x57" href="//a.academia-assets.com/images/favicons/apple-touch-icon-57x57.png"> <link rel="apple-touch-icon" sizes="60x60" href="//a.academia-assets.com/images/favicons/apple-touch-icon-60x60.png"> <link rel="apple-touch-icon" sizes="72x72" href="//a.academia-assets.com/images/favicons/apple-touch-icon-72x72.png"> <link rel="apple-touch-icon" sizes="76x76" href="//a.academia-assets.com/images/favicons/apple-touch-icon-76x76.png"> <link rel="apple-touch-icon" sizes="114x114" href="//a.academia-assets.com/images/favicons/apple-touch-icon-114x114.png"> <link rel="apple-touch-icon" sizes="120x120" href="//a.academia-assets.com/images/favicons/apple-touch-icon-120x120.png"> <link rel="apple-touch-icon" sizes="144x144" href="//a.academia-assets.com/images/favicons/apple-touch-icon-144x144.png"> <link rel="apple-touch-icon" sizes="152x152" href="//a.academia-assets.com/images/favicons/apple-touch-icon-152x152.png"> <link rel="apple-touch-icon" sizes="180x180" href="//a.academia-assets.com/images/favicons/apple-touch-icon-180x180.png"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-32x32.png" sizes="32x32"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-194x194.png" sizes="194x194"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-96x96.png" sizes="96x96"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/android-chrome-192x192.png" sizes="192x192"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-16x16.png" sizes="16x16"> <link rel="manifest" href="//a.academia-assets.com/images/favicons/manifest.json"> <meta name="msapplication-TileColor" content="#2b5797"> <meta name="msapplication-TileImage" content="//a.academia-assets.com/images/favicons/mstile-144x144.png"> <meta name="theme-color" content="#ffffff"> <script> window.performance && window.performance.measure && window.performance.measure("Time To First Byte", "requestStart", "responseStart"); </script> <script> (function() { if (!window.URLSearchParams || !window.history || !window.history.replaceState) { return; } var searchParams = new URLSearchParams(window.location.search); var paramsToDelete = [ 'fs', 'sm', 'swp', 'iid', 'nbs', 'rcc', // related content category 'rcpos', // related content carousel position 'rcpg', // related carousel page 'rchid', // related content hit id 'f_ri', // research interest id, for SEO tracking 'f_fri', // featured research interest, for SEO tracking (param key without value) 'f_rid', // from research interest directory for SEO tracking 'f_loswp', // from research interest pills on LOSWP sidebar for SEO tracking 'rhid', // referrring hit id ]; if (paramsToDelete.every((key) => searchParams.get(key) === null)) { return; } paramsToDelete.forEach((key) => { searchParams.delete(key); }); var cleanUrl = new URL(window.location.href); cleanUrl.search = searchParams.toString(); history.replaceState({}, document.title, cleanUrl); })(); </script> <script async src="https://www.googletagmanager.com/gtag/js?id=G-5VKX33P2DS"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-5VKX33P2DS', { cookie_domain: 'academia.edu', send_page_view: false, }); gtag('event', 'page_view', { 'controller': "profiles/works", 'action': "summary", 'controller_action': 'profiles/works#summary', 'logged_in': 'false', 'edge': 'unknown', // Send nil if there is no A/B test bucket, in case some records get logged // with missing data - that way we can distinguish between the two cases. // ab_test_bucket should be of the form <ab_test_name>:<bucket> 'ab_test_bucket': null, }) </script> <script type="text/javascript"> window.sendUserTiming = function(timingName) { if (!(window.performance && window.performance.measure)) return; var entries = window.performance.getEntriesByName(timingName, "measure"); if (entries.length !== 1) return; var timingValue = Math.round(entries[0].duration); gtag('event', 'timing_complete', { name: timingName, value: timingValue, event_category: 'User-centric', }); }; window.sendUserTiming("Time To First Byte"); </script> <meta name="csrf-param" content="authenticity_token" /> <meta name="csrf-token" content="qt7z/GvffsppuFPoCIeHwIxJfDHMhZ7iCJ01+7AXf/FHdNvyAvX5LNLYE5gW2m5/OWZwdl7eTKTXm6JIp/wO3Q==" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/wow-77f7b87cb1583fc59aa8f94756ebfe913345937eb932042b4077563bebb5fb4b.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/social/home-1c712297ae3ac71207193b1bae0ecf1aae125886850f62c9c0139dd867630797.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/heading-b2b823dd904da60a48fd1bfa1defd840610c2ff414d3f39ed3af46277ab8df3b.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/button-3cea6e0ad4715ed965c49bfb15dedfc632787b32ff6d8c3a474182b231146ab7.css" /><link crossorigin="" href="https://fonts.gstatic.com/" rel="preconnect" /><link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&family=Gupter:wght@400;500;700&family=IBM+Plex+Mono:wght@300;400&family=Material+Symbols+Outlined:opsz,wght,FILL,GRAD@20,400,0,0&display=swap" rel="stylesheet" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/common-10fa40af19d25203774df2d4a03b9b5771b45109c2304968038e88a81d1215c5.css" /> <meta name="author" content="sahrim lias" /> <meta name="description" content="Sahrim Lias, UiTM Shah Alam: 11 Followers, 12 Following, 11 Research papers. Research interest: Biomedical." /> <meta name="google-site-verification" content="bKJMBZA7E43xhDOopFZkssMMkBRjvYERV-NaN4R6mrs" /> <script> var $controller_name = 'works'; var $action_name = "summary"; var $rails_env = 'production'; var $app_rev = '49879c2402910372f4abc62630a427bbe033d190'; var $domain = 'academia.edu'; var $app_host = "academia.edu"; var $asset_host = "academia-assets.com"; var $start_time = new Date().getTime(); var $recaptcha_key = "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB"; var $recaptcha_invisible_key = "6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj"; var $disableClientRecordHit = false; </script> <script> window.Aedu = { hit_data: null }; window.Aedu.SiteStats = {"premium_universities_count":15275,"monthly_visitors":"113 million","monthly_visitor_count":113468711,"monthly_visitor_count_in_millions":113,"user_count":277131738,"paper_count":55203019,"paper_count_in_millions":55,"page_count":432000000,"page_count_in_millions":432,"pdf_count":16500000,"pdf_count_in_millions":16}; window.Aedu.serverRenderTime = new Date(1732385470000); window.Aedu.timeDifference = new Date().getTime() - 1732385470000; window.Aedu.isUsingCssV1 = false; window.Aedu.enableLocalization = true; window.Aedu.activateFullstory = false; window.Aedu.serviceAvailability = { status: {"attention_db":"on","bibliography_db":"on","contacts_db":"on","email_db":"on","indexability_db":"on","mentions_db":"on","news_db":"on","notifications_db":"on","offsite_mentions_db":"on","redshift":"on","redshift_exports_db":"on","related_works_db":"on","ring_db":"on","user_tests_db":"on"}, serviceEnabled: function(service) { return this.status[service] === "on"; }, readEnabled: function(service) { return this.serviceEnabled(service) || this.status[service] === "read_only"; }, }; window.Aedu.viewApmTrace = function() { // Check if x-apm-trace-id meta tag is set, and open the trace in APM // in a new window if it is. var apmTraceId = document.head.querySelector('meta[name="x-apm-trace-id"]'); if (apmTraceId) { var traceId = apmTraceId.content; // Use trace ID to construct URL, an example URL looks like: // https://app.datadoghq.com/apm/traces?query=trace_id%31298410148923562634 var apmUrl = 'https://app.datadoghq.com/apm/traces?query=trace_id%3A' + traceId; window.open(apmUrl, '_blank'); } }; </script>  <link href="https://fonts.googleapis.com/css?family=Roboto:100,100i,300,300i,400,400i,500,500i,700,700i,900,900i" rel="stylesheet"> <link href="//maxcdn.bootstrapcdn.com/font-awesome/4.3.0/css/font-awesome.min.css" rel="stylesheet"> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/libraries-a9675dcb01ec4ef6aa807ba772c7a5a00c1820d3ff661c1038a20f80d06bb4e4.css" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/academia-296162c7af6fd81dcdd76f1a94f1fad04fb5f647401337d136fe8b68742170b1.css" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system_legacy-056a9113b9a0f5343d013b29ee1929d5a18be35fdcdceb616600b4db8bd20054.css" /> <script src="//a.academia-assets.com/assets/webpack_bundles/runtime-bundle-005434038af4252ca37c527588411a3d6a0eabb5f727fac83f8bbe7fd88d93bb.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/webpack_libraries_and_infrequently_changed.wjs-bundle-8d53a22151f33ab413d88fa1c02f979c3f8706d470fc1bced09852c72a9f3454.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/core_webpack.wjs-bundle-f8fe82512740391f81c9e8cc48220144024b425b359b08194e316f4de070b9e8.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/sentry.wjs-bundle-5fe03fddca915c8ba0f7edbe64c194308e8ce5abaed7bffe1255ff37549c4808.js"></script> <script> jade = window.jade || {}; jade.helpers = window.$h; jade._ = window._; </script>  <script id="tag-manager-head-root">(function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= 'https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer_old','GTM-5G9JF7Z');</script>  <script> window.gptadslots = []; window.googletag = window.googletag || {}; window.googletag.cmd = window.googletag.cmd || []; </script> <script type="text/javascript"> // TODO(jacob): This should be defined, may be rare load order problem. // Checking if null is just a quick fix, will default to en if unset. // Better fix is to run this immedietely after I18n is set. if (window.I18n != null) { I18n.defaultLocale = "en"; I18n.locale = "en"; I18n.fallbacks = true; } </script> <link rel="canonical" href="https://uitmshahalam.academia.edu/SahrimLias" /> </head>   <body class='c-profiles/works a-summary logged_out'>  <div id="fb-root"></div><script>window.fbAsyncInit = function() { FB.init({ appId: "2369844204", version: "v8.0", status: true, cookie: true, xfbml: true }); // Additional initialization code. if (window.InitFacebook) { // facebook.ts already loaded, set it up. window.InitFacebook(); } else { // Set a flag for facebook.ts to find when it loads. window.academiaAuthReadyFacebook = true; } };</script><script>window.fbAsyncLoad = function() { // Protection against double calling of this function if (window.FB) { return; } (function(d, s, id){ var js, fjs = d.getElementsByTagName(s)[0]; if (d.getElementById(id)) {return;} js = d.createElement(s); js.id = id; js.src = "//connect.facebook.net/en_US/sdk.js"; fjs.parentNode.insertBefore(js, fjs); }(document, 'script', 'facebook-jssdk')); } if (!window.defer_facebook) { // Autoload if not deferred window.fbAsyncLoad(); } else { // Defer loading by 5 seconds setTimeout(function() { window.fbAsyncLoad(); }, 5000); }</script> <div id="google-root"></div><script>window.loadGoogle = function() { if (window.InitGoogle) { // google.ts already loaded, set it up. window.InitGoogle("331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b"); } else { // Set a flag for google.ts to use when it loads. window.GoogleClientID = "331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b"; } };</script><script>window.googleAsyncLoad = function() { // Protection against double calling of this function (function(d) { var js; var id = 'google-jssdk'; var ref = d.getElementsByTagName('script')[0]; if (d.getElementById(id)) { return; } js = d.createElement('script'); js.id = id; js.async = true; js.onload = loadGoogle; js.src = "https://accounts.google.com/gsi/client" ref.parentNode.insertBefore(js, ref); }(document)); } if (!window.defer_google) { // Autoload if not deferred window.googleAsyncLoad(); } else { // Defer loading by 5 seconds setTimeout(function() { window.googleAsyncLoad(); }, 5000); }</script> <div id="tag-manager-body-root">  <noscript><iframe src="https://www.googletagmanager.com/ns.html?id=GTM-5G9JF7Z" height="0" width="0" style="display:none;visibility:hidden"></iframe></noscript>   <script> window.addEventListener('load', function() { if (document.querySelector('input[name="commit"]')) { document.querySelector('input[name="commit"]').addEventListener('click', function() { gtag('event', 'click', { event_category: 'button', event_label: 'Log In' }) }) } }); </script> </div> <script>var _comscore = _comscore || []; _comscore.push({ c1: "2", c2: "26766707" }); (function() { var s = document.createElement("script"), el = document.getElementsByTagName("script")[0]; s.async = true; s.src = (document.location.protocol == "https:" ? "https://sb" : "http://b") + ".scorecardresearch.com/beacon.js"; el.parentNode.insertBefore(s, el); })();</script><img src="https://sb.scorecardresearch.com/p?c1=2&c2=26766707&cv=2.0&cj=1" style="position: absolute; visibility: hidden" /> <div id='react-modal'></div> <div class='DesignSystem'> <a class='u-showOnFocus' href='#site'> Skip to main content </a> </div> <div id="upgrade_ie_banner" style="display: none;"><p>Academia.edu no longer supports Internet Explorer.</p><p>To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to <a href="https://www.academia.edu/upgrade-browser">upgrade your browser</a>.</p></div><script>// Show this banner for all versions of IE if (!!window.MSInputMethodContext || /(MSIE)/.test(navigator.userAgent)) { document.getElementById('upgrade_ie_banner').style.display = 'block'; }</script> <div class="DesignSystem bootstrap ShrinkableNav"><div class="navbar navbar-default main-header"><div class="container-wrapper" id="main-header-container"><div class="container"><div class="navbar-header"><div class="nav-left-wrapper u-mt0x"><div class="nav-logo"><a data-main-header-link-target="logo_home" href="https://www.academia.edu/"><img class="visible-xs-inline-block" style="height: 24px;" alt="Academia.edu" src="//a.academia-assets.com/images/academia-logo-redesign-2015-A.svg" width="24" height="24" /><img width="145.2" height="18" class="hidden-xs" style="height: 24px;" alt="Academia.edu" src="//a.academia-assets.com/images/academia-logo-redesign-2015.svg" /></a></div><div class="nav-search"><div class="SiteSearch-wrapper select2-no-default-pills"><form class="js-SiteSearch-form DesignSystem" action="https://www.academia.edu/search" accept-charset="UTF-8" method="get"><input name="utf8" type="hidden" value="✓" autocomplete="off" /><i class="SiteSearch-icon fa fa-search u-fw700 u-positionAbsolute u-tcGrayDark"></i><input class="js-SiteSearch-form-input SiteSearch-form-input form-control" data-main-header-click-target="search_input" name="q" placeholder="Search" type="text" value="" /></form></div></div></div><div class="nav-right-wrapper pull-right"><ul class="NavLinks js-main-nav list-unstyled"><li class="NavLinks-link"><a class="js-header-login-url Button Button--inverseGray Button--sm u-mb4x" id="nav_log_in" rel="nofollow" href="https://www.academia.edu/login">Log In</a></li><li class="NavLinks-link u-p0x"><a class="Button Button--inverseGray Button--sm u-mb4x" rel="nofollow" href="https://www.academia.edu/signup">Sign Up</a></li></ul><button class="hidden-lg hidden-md hidden-sm u-ml4x navbar-toggle collapsed" data-target=".js-mobile-header-links" data-toggle="collapse" type="button"><span class="icon-bar"></span><span class="icon-bar"></span><span class="icon-bar"></span></button></div></div><div class="collapse navbar-collapse js-mobile-header-links"><ul class="nav navbar-nav"><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/login">Log In</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/signup">Sign Up</a></li><li class="u-borderColorGrayLight u-borderBottom1 js-mobile-nav-expand-trigger"><a href="#">more&nbsp<span class="caret"></span></a></li><li><ul class="js-mobile-nav-expand-section nav navbar-nav u-m0x collapse"><li class="u-borderColorGrayLight u-borderBottom1"><a rel="false" href="https://www.academia.edu/about">About</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/press">Press</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://medium.com/@academia">Blog</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="false" href="https://www.academia.edu/documents">Papers</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/terms">Terms</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/privacy">Privacy</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/copyright">Copyright</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/hiring"><i class="fa fa-briefcase"></i> We're Hiring!</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://support.academia.edu/"><i class="fa fa-question-circle"></i> Help Center</a></li><li class="js-mobile-nav-collapse-trigger u-borderColorGrayLight u-borderBottom1 dropup" style="display:none"><a href="#">less&nbsp<span class="caret"></span></a></li></ul></li></ul></div></div></div><script>(function(){ var $moreLink = $(".js-mobile-nav-expand-trigger"); var $lessLink = $(".js-mobile-nav-collapse-trigger"); var $section = $('.js-mobile-nav-expand-section'); $moreLink.click(function(ev){ ev.preventDefault(); $moreLink.hide(); $lessLink.show(); $section.collapse('show'); }); $lessLink.click(function(ev){ ev.preventDefault(); $moreLink.show(); $lessLink.hide(); $section.collapse('hide'); }); })() if ($a.is_logged_in() || false) { new Aedu.NavigationController({ el: '.js-main-nav', showHighlightedNotification: false }); } else { $(".js-header-login-url").attr("href", $a.loginUrlWithRedirect()); } Aedu.autocompleteSearch = new AutocompleteSearch({el: '.js-SiteSearch-form'});</script></div></div> <div id='site' class='fixed'> <div id="content" class="clearfix"> <script>document.addEventListener('DOMContentLoaded', function(){ var $dismissible = $(".dismissible_banner"); $dismissible.click(function(ev) { $dismissible.hide(); }); });</script> <script src="//a.academia-assets.com/assets/webpack_bundles/profile.wjs-bundle-9601d1cc3d68aa07c0a9901d03d3611aec04cc07d2a2039718ebef4ad4d148ca.js" defer="defer"></script><script>Aedu.rankings = { showPaperRankingsLink: false } $viewedUser = Aedu.User.set_viewed( {"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias","photo":"https://0.academia-photos.com/1068986/369768/448053/s65_sahrim.lias.jpg","has_photo":true,"department":{"id":214239,"name":"Biomedical Engineering","url":"https://uitmshahalam.academia.edu/Departments/Biomedical_Engineering/Documents","university":{"id":28913,"name":"UiTM Shah Alam","url":"https://uitmshahalam.academia.edu/"}},"position":"Faculty Member","position_id":1,"is_analytics_public":false,"interests":[{"id":36237,"name":"Biomedical","url":"https://www.academia.edu/Documents/in/Biomedical"}]} ); if ($a.is_logged_in() && $viewedUser.is_current_user()) { $('body').addClass('profile-viewed-by-owner'); } $socialProfiles = []</script><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://uitmshahalam.academia.edu/SahrimLias","location":"/SahrimLias","scheme":"https","host":"uitmshahalam.academia.edu","port":null,"pathname":"/SahrimLias","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="ProfileCheckPaperUpdate" data-props="{}" data-trace="false" data-dom-id="ProfileCheckPaperUpdate-react-component-ca37953a-a2bb-4715-a210-81e6cb0dec74"></div> <div id="ProfileCheckPaperUpdate-react-component-ca37953a-a2bb-4715-a210-81e6cb0dec74"></div> <div class="DesignSystem"><div class="onsite-ping" id="onsite-ping"></div></div><div class="profile-user-info DesignSystem"><div class="social-profile-container"><div class="left-panel-container"><div class="user-info-component-wrapper"><div class="user-summary-cta-container"><div class="user-summary-container"><div class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" alt="Sahrim Lias" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/1068986/369768/448053/s200_sahrim.lias.jpg" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Sahrim Lias</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://uitmshahalam.academia.edu/">UiTM Shah Alam</a>, <a class="u-tcGrayDarker" href="https://uitmshahalam.academia.edu/Departments/Biomedical_Engineering/Documents">Biomedical Engineering</a>, <span class="u-tcGrayDarker">Faculty Member</span></div></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" data-click-track="profile-user-info-follow-button" data-follow-user-fname="Sahrim" data-follow-user-id="1068986" data-follow-user-source="profile_button" data-has-google="false"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">add</span>Follow</button><button class="ds2-5-button hidden profile-cta-button grow js-profile-unfollow-button" data-broccoli-component="user-info.unfollow-button" data-click-track="profile-user-info-unfollow-button" data-unfollow-user-id="1068986"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">done</span>Following</button></div></div><div class="user-stats-container"><a><div class="stat-container js-profile-followers"><p class="label">Followers</p><p class="data">11</p></div></a><a><div class="stat-container js-profile-followees" data-broccoli-component="user-info.followees-count" data-click-track="profile-expand-user-info-following"><p class="label">Following</p><p class="data">12</p></div></a><a href="/SahrimLias/mentions"><div class="stat-container"><p class="label">Mentions</p><p class="data">1</p></div></a><span><div class="stat-container"><p class="label"><span class="js-profile-total-view-text">Public Views</span></p><p class="data"><span class="js-profile-view-count"></span></p></div></span></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="1068986" href="https://www.academia.edu/Documents/in/Biomedical"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://uitmshahalam.academia.edu/SahrimLias","location":"/SahrimLias","scheme":"https","host":"uitmshahalam.academia.edu","port":null,"pathname":"/SahrimLias","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Biomedical"]}" data-trace="false" data-dom-id="Pill-react-component-5e42b86a-58f4-4267-857e-7c2afbb51d06"></div> <div id="Pill-react-component-5e42b86a-58f4-4267-857e-7c2afbb51d06"></div> </a></div></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Sahrim Lias</h3></div><div class="js-work-strip profile--work_container" data-work-id="119932511"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/119932511/Slow_and_fast_eeg_waves_analysis_for_Kolbs_learning_style_classification"><img alt="Research paper thumbnail of Slow and fast eeg waves analysis for Kolb's learning style classification" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/119932511/Slow_and_fast_eeg_waves_analysis_for_Kolbs_learning_style_classification">Slow and fast eeg waves analysis for Kolb's learning style classification</a></div><div class="wp-workCard_item"><span>Journal of Engineering and Applied Sciences</span><span>, 2017</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="119932511"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="119932511"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 119932511; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=119932511]").text(description); $(".js-view-count[data-work-id=119932511]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 119932511; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='119932511']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 119932511, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=119932511]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":119932511,"title":"Slow and fast eeg waves analysis for Kolb's learning style classification","translated_title":"","metadata":{"publisher":"Medwell Publications","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"Journal of Engineering and Applied Sciences"},"translated_abstract":null,"internal_url":"https://www.academia.edu/119932511/Slow_and_fast_eeg_waves_analysis_for_Kolbs_learning_style_classification","translated_internal_url":"","created_at":"2024-05-24T07:23:58.136-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1068986,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Slow_and_fast_eeg_waves_analysis_for_Kolbs_learning_style_classification","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias"},"attachments":[],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography"},{"id":1928694,"name":"Engineering and Applied Sciences","url":"https://www.academia.edu/Documents/in/Engineering_and_Applied_Sciences"}],"urls":[{"id":42283645,"url":"https://doi.org/10.3923/jeasci.2017.508.512"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="119932510"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/119932510/EEG_brainwave_pattern_for_smoking_behaviour_after_Horizontal_Rotation_treatment"><img alt="Research paper thumbnail of EEG brainwave pattern for smoking behaviour after Horizontal Rotation treatment" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/119932510/EEG_brainwave_pattern_for_smoking_behaviour_after_Horizontal_Rotation_treatment">EEG brainwave pattern for smoking behaviour after Horizontal Rotation treatment</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">... Zodie Mohamed Hanafiah1,2, Khairul Fatiah Md Yunos1, Zunairah Hj Murat1,2, Mohd Nasir Taib1,2...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">... Zodie Mohamed Hanafiah1,2, Khairul Fatiah Md Yunos1, Zunairah Hj Murat1,2, Mohd Nasir Taib1,2 ,Sahrim Lias1,2 ... It was found that, HR significantly improves the Alpha band that could reduce the smoking habit. .H\ZRUGV ((* +RUL]RQWDO 5RWDWLRQ +5 ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="119932510"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="119932510"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 119932510; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=119932510]").text(description); $(".js-view-count[data-work-id=119932510]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 119932510; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='119932510']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 119932510, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=119932510]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":119932510,"title":"EEG brainwave pattern for smoking behaviour after Horizontal Rotation treatment","translated_title":"","metadata":{"abstract":"... Zodie Mohamed Hanafiah1,2, Khairul Fatiah Md Yunos1, Zunairah Hj Murat1,2, Mohd Nasir Taib1,2 ,Sahrim Lias1,2 ... It was found that, HR significantly improves the Alpha band that could reduce the smoking habit. .H\\ZRUGV ((* +RUL]RQWDO 5RWDWLRQ +5 ...","publication_date":{"day":null,"month":null,"year":2009,"errors":{}}},"translated_abstract":"... Zodie Mohamed Hanafiah1,2, Khairul Fatiah Md Yunos1, Zunairah Hj Murat1,2, Mohd Nasir Taib1,2 ,Sahrim Lias1,2 ... It was found that, HR significantly improves the Alpha band that could reduce the smoking habit. .H\\ZRUGV ((* +RUL]RQWDO 5RWDWLRQ +5 ...","internal_url":"https://www.academia.edu/119932510/EEG_brainwave_pattern_for_smoking_behaviour_after_Horizontal_Rotation_treatment","translated_internal_url":"","created_at":"2024-05-24T07:23:57.870-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1068986,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"EEG_brainwave_pattern_for_smoking_behaviour_after_Horizontal_Rotation_treatment","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias"},"attachments":[],"research_interests":[{"id":4139,"name":"Audiology","url":"https://www.academia.edu/Documents/in/Audiology"},{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":60806,"name":"IEEE Student Member","url":"https://www.academia.edu/Documents/in/IEEE_Student_Member"}],"urls":[{"id":42283644,"url":"https://doi.org/10.1109/scored.2009.5442937"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="119932509"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/119932509/Statistical_Analysis_of_Cymbopogon_Chemical_Compounds_for_Oils_Species"><img alt="Research paper thumbnail of Statistical Analysis of Cymbopogon Chemical Compounds for Oils Species" class="work-thumbnail" src="https://attachments.academia-assets.com/115234684/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/119932509/Statistical_Analysis_of_Cymbopogon_Chemical_Compounds_for_Oils_Species">Statistical Analysis of Cymbopogon Chemical Compounds for Oils Species</a></div><div class="wp-workCard_item"><span>Journal of electrical and electronic systems research</span><span>, Jun 1, 2020</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7807f118e924ae6430e0faf7beaf8456" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":115234684,"asset_id":119932509,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/115234684/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="119932509"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="119932509"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 119932509; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=119932509]").text(description); $(".js-view-count[data-work-id=119932509]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 119932509; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='119932509']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 119932509, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7807f118e924ae6430e0faf7beaf8456" } } $('.js-work-strip[data-work-id=119932509]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":119932509,"title":"Statistical Analysis of Cymbopogon Chemical Compounds for Oils Species","translated_title":"","metadata":{"publisher":"UiTM Press, Universiti Teknologi MARA","grobid_abstract":"Cymbopogon essential oil is extracted from the Cymbopogon species which are citronella and lemongrass. This situation may cause confusion and mistake by the selection of the planters. This essential oil is commonly used as aromatherapy and pharmacological activities such as anti-bacterial. The compounds identified in this Cymbopogon oils are mainly geraniol, citronellal, citronellol, geranyl acetate, linalool, limonene and germacrene D. The paper aims to summarize the statistical analysis of Cymbopogon chemical compounds between citronella and lemongrass for oils species by using SPSS software. This study consists of data extraction for the oils species using GC-MS machine to identify their chemical compounds. Then, statistical analysis data was performed which consist of the values of abundances. Next, the descriptive statistics data was carried out by evaluating the minimum and maximum data, mean, standard deviation, variance and kurtosis. The result showed that geraniol compound achieved the highest value of abundances and descriptive statistics for both datasets compared to other compounds because it has a role as a fragrance, an allergen and a plant metabolite. This is proven that statistical analysis and descriptive statistics in this study were able to summarize the preliminary data of Cymbopogon oil compounds according to its species which are lemongrass and citronella.","publication_date":{"day":1,"month":6,"year":2020,"errors":{}},"publication_name":"Journal of electrical and electronic systems research","grobid_abstract_attachment_id":115234684},"translated_abstract":null,"internal_url":"https://www.academia.edu/119932509/Statistical_Analysis_of_Cymbopogon_Chemical_Compounds_for_Oils_Species","translated_internal_url":"","created_at":"2024-05-24T07:23:57.601-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1068986,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":115234684,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/115234684/thumbnails/1.jpg","file_name":"jeesr.v16i1.pdf","download_url":"https://www.academia.edu/attachments/115234684/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Statistical_Analysis_of_Cymbopogon_Chemi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/115234684/jeesr.v16i1-libre.pdf?1716568169=\u0026response-content-disposition=attachment%3B+filename%3DStatistical_Analysis_of_Cymbopogon_Chemi.pdf\u0026Expires=1732389069\u0026Signature=Iu0PbWx6WR5IyaRz-wh31aHgrKr3xWlB9tssdsKXj8BD5aPwP~tQDo09R3~uPlcnTJ5E~g10bynYfNlO6UhHb2NU-Lu0A2uzX0DAHT2lYr0OgIqAVMsRVv10o61DfNb5MRlzyDbQhfSlzUJnEYPmniZpv7UIuxF3SpdT47pZ5mbnr81AoaG-38bTuSHOSmW2qN3EvqUidcgFLCrfjjrpWTvgf~ypQSGq8YJ0QfdNBPyLEBu8FQod8vvyZx22939jmjflNCaPfa~V~ylB9cy-asjebB9SpSYkuXvTr8UCtimTTTo0VzlwHMpVs4ROcDXUXuQLr2MfzaTq-5OmbmdA8w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Statistical_Analysis_of_Cymbopogon_Chemical_Compounds_for_Oils_Species","translated_slug":"","page_count":7,"language":"en","content_type":"Work","owner":{"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias"},"attachments":[{"id":115234684,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/115234684/thumbnails/1.jpg","file_name":"jeesr.v16i1.pdf","download_url":"https://www.academia.edu/attachments/115234684/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Statistical_Analysis_of_Cymbopogon_Chemi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/115234684/jeesr.v16i1-libre.pdf?1716568169=\u0026response-content-disposition=attachment%3B+filename%3DStatistical_Analysis_of_Cymbopogon_Chemi.pdf\u0026Expires=1732389070\u0026Signature=PI~FKcXuncxHDxXKq4MIGZ3ziESoQAF6jtv2NSBESFCANlYY892F5CB5BllQJyq2Kz7NzLqMpn0Xj524AWlV1ssPm7XEMwZjyaYe80dAyxdpoa7K~pqrFV3zDuVssAmEDxpw5C2T41LUEk21TMveelNu-7uc47vYL5txHH5h6ofZiYqIQ1O81S0YC7O8FVCQCBdoCcEVWpGzaWGrOL1U64kA~1FoysAcpb97z86MHUOmmfxt3sIYM4IFe2G0oGv7X5wNrWpltKuu1KGkyLD-kqSTZBpSpxJnVUmQH6uM942ps~5~G4MOLAgrKZJgxcQf5C0UGSYidz-xG-QPu-8sbA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"}],"urls":[{"id":42283643,"url":"https://doi.org/10.24191/jeesr.v16i1.013"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="119932508"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/119932508/Classification_of_Selected_Essential_Oil_from_Family_Zingiberaceae_Using_E_Nose_and_Discriminant_Factorial_Analysis_DFA_Techniques_An_Initial_Study"><img alt="Research paper thumbnail of Classification of Selected Essential Oil from Family Zingiberaceae Using E-Nose and Discriminant Factorial Analysis (DFA) Techniques: An Initial Study" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/119932508/Classification_of_Selected_Essential_Oil_from_Family_Zingiberaceae_Using_E_Nose_and_Discriminant_Factorial_Analysis_DFA_Techniques_An_Initial_Study">Classification of Selected Essential Oil from Family Zingiberaceae Using E-Nose and Discriminant Factorial Analysis (DFA) Techniques: An Initial Study</a></div><div class="wp-workCard_item"><span>Applied Mechanics and Materials</span><span>, Oct 1, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Essential oils are very valuable natural resources and considered as secondary metabolites. They ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Essential oils are very valuable natural resources and considered as secondary metabolites. They are produced from several parts of aromatic plant by using different type of extraction techniques. Each technique produced slightly different output oil yield and smell however they produced the same major chemicals compound markers when they are analysed using chemical analysis and profiling technique. Pure essential oils are known to have very strong odor and there are several techniques used to differentiate the volatile odor generated. In this study, Electronic Nose (E-Nose) technology is used to distinguish the smell among 8 samples selected within the same Zingiberaceae family. Their pattern recognition profiles were examined by statistical analysis using Discriminant Factorial Analysis (DFA). The result shows that the E-Nose technology combined with DFA were successfully discriminating all 8 samples within the same family with significant p-values &amp;amp;amp;amp;lt; 0.05 across all samples and 100% recognition value.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="119932508"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="119932508"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 119932508; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=119932508]").text(description); $(".js-view-count[data-work-id=119932508]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 119932508; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='119932508']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 119932508, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=119932508]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":119932508,"title":"Classification of Selected Essential Oil from Family Zingiberaceae Using E-Nose and Discriminant Factorial Analysis (DFA) Techniques: An Initial Study","translated_title":"","metadata":{"abstract":"Essential oils are very valuable natural resources and considered as secondary metabolites. They are produced from several parts of aromatic plant by using different type of extraction techniques. Each technique produced slightly different output oil yield and smell however they produced the same major chemicals compound markers when they are analysed using chemical analysis and profiling technique. Pure essential oils are known to have very strong odor and there are several techniques used to differentiate the volatile odor generated. In this study, Electronic Nose (E-Nose) technology is used to distinguish the smell among 8 samples selected within the same Zingiberaceae family. Their pattern recognition profiles were examined by statistical analysis using Discriminant Factorial Analysis (DFA). The result shows that the E-Nose technology combined with DFA were successfully discriminating all 8 samples within the same family with significant p-values \u0026amp;amp;amp;amp;lt; 0.05 across all samples and 100% recognition value.","publisher":"Trans Tech Publications","publication_date":{"day":1,"month":10,"year":2015,"errors":{}},"publication_name":"Applied Mechanics and Materials"},"translated_abstract":"Essential oils are very valuable natural resources and considered as secondary metabolites. They are produced from several parts of aromatic plant by using different type of extraction techniques. Each technique produced slightly different output oil yield and smell however they produced the same major chemicals compound markers when they are analysed using chemical analysis and profiling technique. Pure essential oils are known to have very strong odor and there are several techniques used to differentiate the volatile odor generated. In this study, Electronic Nose (E-Nose) technology is used to distinguish the smell among 8 samples selected within the same Zingiberaceae family. Their pattern recognition profiles were examined by statistical analysis using Discriminant Factorial Analysis (DFA). The result shows that the E-Nose technology combined with DFA were successfully discriminating all 8 samples within the same family with significant p-values \u0026amp;amp;amp;amp;lt; 0.05 across all samples and 100% recognition value.","internal_url":"https://www.academia.edu/119932508/Classification_of_Selected_Essential_Oil_from_Family_Zingiberaceae_Using_E_Nose_and_Discriminant_Factorial_Analysis_DFA_Techniques_An_Initial_Study","translated_internal_url":"","created_at":"2024-05-24T07:23:57.311-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1068986,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Classification_of_Selected_Essential_Oil_from_Family_Zingiberaceae_Using_E_Nose_and_Discriminant_Factorial_Analysis_DFA_Techniques_An_Initial_Study","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":78540,"name":"Linear Discriminant Analysis","url":"https://www.academia.edu/Documents/in/Linear_Discriminant_Analysis"},{"id":100842,"name":"Electronic Nose","url":"https://www.academia.edu/Documents/in/Electronic_Nose"},{"id":185109,"name":"ODOR","url":"https://www.academia.edu/Documents/in/ODOR"},{"id":234672,"name":"Zingiberaceae","url":"https://www.academia.edu/Documents/in/Zingiberaceae"}],"urls":[{"id":42283642,"url":"https://doi.org/10.4028/www.scientific.net/amm.799-800.932"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="119932507"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/119932507/A_Study_on_the_Application_of_Electronic_Nose_Coupled_with_DFA_and_Statistical_Analysis_for_Evaluating_the_Relationship_between_Sample_Volumes_versus_Sensor_Intensity_of_Agarwood_Essential_Oils_Blending_Ratio"><img alt="Research paper thumbnail of A Study on the Application of Electronic Nose Coupled with DFA and Statistical Analysis for Evaluating the Relationship between Sample Volumes versus Sensor Intensity of Agarwood Essential Oils Blending Ratio" class="work-thumbnail" src="https://attachments.academia-assets.com/115234683/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/119932507/A_Study_on_the_Application_of_Electronic_Nose_Coupled_with_DFA_and_Statistical_Analysis_for_Evaluating_the_Relationship_between_Sample_Volumes_versus_Sensor_Intensity_of_Agarwood_Essential_Oils_Blending_Ratio">A Study on the Application of Electronic Nose Coupled with DFA and Statistical Analysis for Evaluating the Relationship between Sample Volumes versus Sensor Intensity of Agarwood Essential Oils Blending Ratio</a></div><div class="wp-workCard_item"><span>MATEC Web of Conferences</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The exquisite agarwood oils are primary used for perfumery industries either as pure essential oi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The exquisite agarwood oils are primary used for perfumery industries either as pure essential oils or in a perfume base. Commonly, Agarwood oils are extracted from low grade 100% agarwood chips via distillation processes and the extracted oil is called as pure agarwood essential oil which containing 100% of extracted material. In perfumery industry, the agarwood pure oils are often blend with other essential oils such as geranium, sandalwood, gurjum balsam, jasmine and Ylang ylang to create rich, complex and pleasant oils compared to pure Agarwood oils smell alone that may not suit all users preferences. To dates, agarwood oil quality assessment is typically carried out manually via human olfactory system which produces different results and inconsistency from traders and buyers. From the results, multiple linear regression analysis used to run the multiple regression prediction models using combination of 11 sensors shown better results by increasing the R2 value from 0.674 to 0.9...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="af341fb1612576ba1d029604f6c43aae" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":115234683,"asset_id":119932507,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/115234683/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="119932507"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="119932507"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 119932507; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=119932507]").text(description); $(".js-view-count[data-work-id=119932507]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 119932507; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='119932507']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 119932507, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "af341fb1612576ba1d029604f6c43aae" } } $('.js-work-strip[data-work-id=119932507]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":119932507,"title":"A Study on the Application of Electronic Nose Coupled with DFA and Statistical Analysis for Evaluating the Relationship between Sample Volumes versus Sensor Intensity of Agarwood Essential Oils Blending Ratio","translated_title":"","metadata":{"abstract":"The exquisite agarwood oils are primary used for perfumery industries either as pure essential oils or in a perfume base. Commonly, Agarwood oils are extracted from low grade 100% agarwood chips via distillation processes and the extracted oil is called as pure agarwood essential oil which containing 100% of extracted material. In perfumery industry, the agarwood pure oils are often blend with other essential oils such as geranium, sandalwood, gurjum balsam, jasmine and Ylang ylang to create rich, complex and pleasant oils compared to pure Agarwood oils smell alone that may not suit all users preferences. To dates, agarwood oil quality assessment is typically carried out manually via human olfactory system which produces different results and inconsistency from traders and buyers. From the results, multiple linear regression analysis used to run the multiple regression prediction models using combination of 11 sensors shown better results by increasing the R2 value from 0.674 to 0.9...","publisher":"EDP Sciences","publication_date":{"day":null,"month":null,"year":2018,"errors":{}},"publication_name":"MATEC Web of Conferences"},"translated_abstract":"The exquisite agarwood oils are primary used for perfumery industries either as pure essential oils or in a perfume base. Commonly, Agarwood oils are extracted from low grade 100% agarwood chips via distillation processes and the extracted oil is called as pure agarwood essential oil which containing 100% of extracted material. In perfumery industry, the agarwood pure oils are often blend with other essential oils such as geranium, sandalwood, gurjum balsam, jasmine and Ylang ylang to create rich, complex and pleasant oils compared to pure Agarwood oils smell alone that may not suit all users preferences. To dates, agarwood oil quality assessment is typically carried out manually via human olfactory system which produces different results and inconsistency from traders and buyers. From the results, multiple linear regression analysis used to run the multiple regression prediction models using combination of 11 sensors shown better results by increasing the R2 value from 0.674 to 0.9...","internal_url":"https://www.academia.edu/119932507/A_Study_on_the_Application_of_Electronic_Nose_Coupled_with_DFA_and_Statistical_Analysis_for_Evaluating_the_Relationship_between_Sample_Volumes_versus_Sensor_Intensity_of_Agarwood_Essential_Oils_Blending_Ratio","translated_internal_url":"","created_at":"2024-05-24T07:23:57.063-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1068986,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":115234683,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/115234683/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/115234683/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Study_on_the_Application_of_Electronic.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/115234683/pdf-libre.pdf?1716568170=\u0026response-content-disposition=attachment%3B+filename%3DA_Study_on_the_Application_of_Electronic.pdf\u0026Expires=1732389070\u0026Signature=UsXZjDtiqxVC8ZLrFje-ce7m19Wa6ve8c8fhHqavDV~atYCSYbzh~121vmf9qmHe0GI6VPeni5Cl~XeMtr6HOqWwj-dRiGlarnuFeqodJ4nK9KLhoa7j6v39YJLfGGRcyVwXZn11T~3uWCfagSrzfJZgLyl3XjFE2Bm8MlZ8orxZDXEqgdQeytwqOFW6ZsBmSQrRXX3RNgyzd~0NOXYEE~9vI9U5wm~FiphvNCjOt5sMdbQqXvGOgKboMJm626n~hYPpmLkcqRmU~vKVZVJUCXRC6abIdZ8h3uq6L3iEIHMnr4j~0axHtW~9q66h~23yglFq~5DUOPvnnySDJitdtA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_Study_on_the_Application_of_Electronic_Nose_Coupled_with_DFA_and_Statistical_Analysis_for_Evaluating_the_Relationship_between_Sample_Volumes_versus_Sensor_Intensity_of_Agarwood_Essential_Oils_Blending_Ratio","translated_slug":"","page_count":6,"language":"en","content_type":"Work","owner":{"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias"},"attachments":[{"id":115234683,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/115234683/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/115234683/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Study_on_the_Application_of_Electronic.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/115234683/pdf-libre.pdf?1716568170=\u0026response-content-disposition=attachment%3B+filename%3DA_Study_on_the_Application_of_Electronic.pdf\u0026Expires=1732389070\u0026Signature=UsXZjDtiqxVC8ZLrFje-ce7m19Wa6ve8c8fhHqavDV~atYCSYbzh~121vmf9qmHe0GI6VPeni5Cl~XeMtr6HOqWwj-dRiGlarnuFeqodJ4nK9KLhoa7j6v39YJLfGGRcyVwXZn11T~3uWCfagSrzfJZgLyl3XjFE2Bm8MlZ8orxZDXEqgdQeytwqOFW6ZsBmSQrRXX3RNgyzd~0NOXYEE~9vI9U5wm~FiphvNCjOt5sMdbQqXvGOgKboMJm626n~hYPpmLkcqRmU~vKVZVJUCXRC6abIdZ8h3uq6L3iEIHMnr4j~0axHtW~9q66h~23yglFq~5DUOPvnnySDJitdtA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":48465,"name":"Essential Oil","url":"https://www.academia.edu/Documents/in/Essential_Oil"},{"id":883068,"name":"Agarwood","url":"https://www.academia.edu/Documents/in/Agarwood"}],"urls":[{"id":42283641,"url":"https://www.matec-conferences.org/10.1051/matecconf/201820102008/pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="119932506"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/119932506/Discrimination_of_Pure_and_Mixture_Agarwood_Oils_via_Electronic_Nose_Coupled_with_k_NN_kfold_Classifier"><img alt="Research paper thumbnail of Discrimination of Pure and Mixture Agarwood Oils via Electronic Nose Coupled with k-NN kfold Classifier" class="work-thumbnail" src="https://attachments.academia-assets.com/115234723/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/119932506/Discrimination_of_Pure_and_Mixture_Agarwood_Oils_via_Electronic_Nose_Coupled_with_k_NN_kfold_Classifier">Discrimination of Pure and Mixture Agarwood Oils via Electronic Nose Coupled with k-NN kfold Classifier</a></div><div class="wp-workCard_item"><span>Procedia Chemistry</span><span>, 2016</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4d50f8840a9852a28531e9b2982553e5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":115234723,"asset_id":119932506,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/115234723/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="119932506"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="119932506"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 119932506; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=119932506]").text(description); $(".js-view-count[data-work-id=119932506]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 119932506; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='119932506']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 119932506, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "4d50f8840a9852a28531e9b2982553e5" } } $('.js-work-strip[data-work-id=119932506]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":119932506,"title":"Discrimination of Pure and Mixture Agarwood Oils via Electronic Nose Coupled with k-NN kfold Classifier","translated_title":"","metadata":{"publisher":"Elsevier BV","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"Procedia Chemistry"},"translated_abstract":null,"internal_url":"https://www.academia.edu/119932506/Discrimination_of_Pure_and_Mixture_Agarwood_Oils_via_Electronic_Nose_Coupled_with_k_NN_kfold_Classifier","translated_internal_url":"","created_at":"2024-05-24T07:23:56.806-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1068986,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":115234723,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/115234723/thumbnails/1.jpg","file_name":"82353180.pdf","download_url":"https://www.academia.edu/attachments/115234723/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Discrimination_of_Pure_and_Mixture_Agarw.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/115234723/82353180-libre.pdf?1716568162=\u0026response-content-disposition=attachment%3B+filename%3DDiscrimination_of_Pure_and_Mixture_Agarw.pdf\u0026Expires=1732389070\u0026Signature=WsFDKdvXpik6jHJ7mVVxnGkPMI1K2c36iP~SpzbOEoQYQEONNfW8~wMvqndYzmrqWC4Gww7KU5iDNBWXfZAS13R2Z-FdrUphMnq6xNfROQ3qN003Btas02RwgYx7c065pz~N6k-sJ~YdJYSs97wKujnvLM77~EBNj5XWxEa4W8hOsZFj6hD2XeczHSejEmNdv427i46TUxONEjpeG31o1D5rgnaisBbfPwQmhY4vZwUxR5jl7TeGc3BVJFhRu1lymrqyRGMv7V5xknNb~5KN5i9aJc5jgNPRsD2Q-ZLl2ul64Y7iokXoON6qEyT3u7Im4FXsXdw1QFKEZpgZuSpdKQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Discrimination_of_Pure_and_Mixture_Agarwood_Oils_via_Electronic_Nose_Coupled_with_k_NN_kfold_Classifier","translated_slug":"","page_count":6,"language":"en","content_type":"Work","owner":{"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias"},"attachments":[{"id":115234723,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/115234723/thumbnails/1.jpg","file_name":"82353180.pdf","download_url":"https://www.academia.edu/attachments/115234723/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Discrimination_of_Pure_and_Mixture_Agarw.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/115234723/82353180-libre.pdf?1716568162=\u0026response-content-disposition=attachment%3B+filename%3DDiscrimination_of_Pure_and_Mixture_Agarw.pdf\u0026Expires=1732389070\u0026Signature=WsFDKdvXpik6jHJ7mVVxnGkPMI1K2c36iP~SpzbOEoQYQEONNfW8~wMvqndYzmrqWC4Gww7KU5iDNBWXfZAS13R2Z-FdrUphMnq6xNfROQ3qN003Btas02RwgYx7c065pz~N6k-sJ~YdJYSs97wKujnvLM77~EBNj5XWxEa4W8hOsZFj6hD2XeczHSejEmNdv427i46TUxONEjpeG31o1D5rgnaisBbfPwQmhY4vZwUxR5jl7TeGc3BVJFhRu1lymrqyRGMv7V5xknNb~5KN5i9aJc5jgNPRsD2Q-ZLl2ul64Y7iokXoON6qEyT3u7Im4FXsXdw1QFKEZpgZuSpdKQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":100842,"name":"Electronic Nose","url":"https://www.academia.edu/Documents/in/Electronic_Nose"},{"id":883068,"name":"Agarwood","url":"https://www.academia.edu/Documents/in/Agarwood"}],"urls":[{"id":42283640,"url":"https://api.elsevier.com/content/article/PII:S1876619616300341?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="119932505"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/119932505/Identification_of_Odor_Components_of_Agarwood"><img alt="Research paper thumbnail of Identification of Odor Components of Agarwood" class="work-thumbnail" src="https://attachments.academia-assets.com/115234722/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/119932505/Identification_of_Odor_Components_of_Agarwood">Identification of Odor Components of Agarwood</a></div><div class="wp-workCard_item"><span>Jurnal Teknologi</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article presents the use of Z-score in assessing the significant chemical compounds extracte...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This article presents the use of Z-score in assessing the significant chemical compounds extracted by head space solid phase microextraction (HS-SPME) and gas chromatography – mass spectrometry (GC-MS) analysis of an agarwood oil obtained from Melaka, Malaysia. Two types of SPME fiber; polydimethylsiloxane (PDMS) and divinylbenzene-carboxen-polydimethylsiloxane (DVB-CAR-PDMS) were used. During the extraction analysis, the results showed that at least 27 and 29 compounds were identified using PDMS and DVB-CAR-PDMS fiber, respectively. DVB-CAR-PDMS fiber was found to be more efficient in terms of selectivity of compounds extraction. The application of Z-score showed that eight and eleven marker compounds were determined in PDMS and DVB-CAR-PDMS fibers, respectively. 4-Phenyl-2-butanone, a-guaiene, β-agarofuran, a-bulnesene, a-agarofuran and 10-epi-g-eudesmol were some of the compounds selected and were often reported significantly in agarwood oils as key odor compounds. The informatio...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3843e1b766bf372d463238699681fd0c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":115234722,"asset_id":119932505,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/115234722/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="119932505"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="119932505"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 119932505; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=119932505]").text(description); $(".js-view-count[data-work-id=119932505]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 119932505; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='119932505']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 119932505, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3843e1b766bf372d463238699681fd0c" } } $('.js-work-strip[data-work-id=119932505]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":119932505,"title":"Identification of Odor Components of Agarwood","translated_title":"","metadata":{"abstract":"This article presents the use of Z-score in assessing the significant chemical compounds extracted by head space solid phase microextraction (HS-SPME) and gas chromatography – mass spectrometry (GC-MS) analysis of an agarwood oil obtained from Melaka, Malaysia. Two types of SPME fiber; polydimethylsiloxane (PDMS) and divinylbenzene-carboxen-polydimethylsiloxane (DVB-CAR-PDMS) were used. During the extraction analysis, the results showed that at least 27 and 29 compounds were identified using PDMS and DVB-CAR-PDMS fiber, respectively. DVB-CAR-PDMS fiber was found to be more efficient in terms of selectivity of compounds extraction. The application of Z-score showed that eight and eleven marker compounds were determined in PDMS and DVB-CAR-PDMS fibers, respectively. 4-Phenyl-2-butanone, a-guaiene, β-agarofuran, a-bulnesene, a-agarofuran and 10-epi-g-eudesmol were some of the compounds selected and were often reported significantly in agarwood oils as key odor compounds. The informatio...","publisher":"Penerbit UTM Press","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Jurnal Teknologi"},"translated_abstract":"This article presents the use of Z-score in assessing the significant chemical compounds extracted by head space solid phase microextraction (HS-SPME) and gas chromatography – mass spectrometry (GC-MS) analysis of an agarwood oil obtained from Melaka, Malaysia. Two types of SPME fiber; polydimethylsiloxane (PDMS) and divinylbenzene-carboxen-polydimethylsiloxane (DVB-CAR-PDMS) were used. During the extraction analysis, the results showed that at least 27 and 29 compounds were identified using PDMS and DVB-CAR-PDMS fiber, respectively. DVB-CAR-PDMS fiber was found to be more efficient in terms of selectivity of compounds extraction. The application of Z-score showed that eight and eleven marker compounds were determined in PDMS and DVB-CAR-PDMS fibers, respectively. 4-Phenyl-2-butanone, a-guaiene, β-agarofuran, a-bulnesene, a-agarofuran and 10-epi-g-eudesmol were some of the compounds selected and were often reported significantly in agarwood oils as key odor compounds. The informatio...","internal_url":"https://www.academia.edu/119932505/Identification_of_Odor_Components_of_Agarwood","translated_internal_url":"","created_at":"2024-05-24T07:23:56.654-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1068986,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":115234722,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/115234722/thumbnails/1.jpg","file_name":"b8f43138ff46af81ddea2e8e005061e4b6c8.pdf","download_url":"https://www.academia.edu/attachments/115234722/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Identification_of_Odor_Components_of_Aga.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/115234722/b8f43138ff46af81ddea2e8e005061e4b6c8-libre.pdf?1716568164=\u0026response-content-disposition=attachment%3B+filename%3DIdentification_of_Odor_Components_of_Aga.pdf\u0026Expires=1732389070\u0026Signature=ESLbpRnr3Csoe1zZKmHCG5eQZ0nMCDjT9aaQ-gCqfwSELBoxt5dgacJO~a3exHpHsFL5si46sPHX9px35OKsb3utGQyouKWn8jeH-oEzKDHgJ90b3D3yf2c78MVWMr21pcQo03BRx6T4s8itMLpTi6DywNzsBjIvsVL0QyW1~h8fROiY2vkdsT-3m7HcaLJbCUEeqc3wTvOTcDe-QHcNYwjZ6SyFWfa2yDtVeLnhkOwWeTo3XcOvlgA4d8LmPav5A0Nbr8gk5drMdixFYRp9T1luLGrbIUa6pfM-4dII5SDNFgGtpa461h6xsehFTfur5UkzTzNV5ek0ve~BFZjGVw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Identification_of_Odor_Components_of_Agarwood","translated_slug":"","page_count":5,"language":"en","content_type":"Work","owner":{"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias"},"attachments":[{"id":115234722,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/115234722/thumbnails/1.jpg","file_name":"b8f43138ff46af81ddea2e8e005061e4b6c8.pdf","download_url":"https://www.academia.edu/attachments/115234722/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Identification_of_Odor_Components_of_Aga.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/115234722/b8f43138ff46af81ddea2e8e005061e4b6c8-libre.pdf?1716568164=\u0026response-content-disposition=attachment%3B+filename%3DIdentification_of_Odor_Components_of_Aga.pdf\u0026Expires=1732389070\u0026Signature=ESLbpRnr3Csoe1zZKmHCG5eQZ0nMCDjT9aaQ-gCqfwSELBoxt5dgacJO~a3exHpHsFL5si46sPHX9px35OKsb3utGQyouKWn8jeH-oEzKDHgJ90b3D3yf2c78MVWMr21pcQo03BRx6T4s8itMLpTi6DywNzsBjIvsVL0QyW1~h8fROiY2vkdsT-3m7HcaLJbCUEeqc3wTvOTcDe-QHcNYwjZ6SyFWfa2yDtVeLnhkOwWeTo3XcOvlgA4d8LmPav5A0Nbr8gk5drMdixFYRp9T1luLGrbIUa6pfM-4dII5SDNFgGtpa461h6xsehFTfur5UkzTzNV5ek0ve~BFZjGVw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":4656,"name":"Chromatography","url":"https://www.academia.edu/Documents/in/Chromatography"},{"id":161542,"name":"Solid Phase Microextraction","url":"https://www.academia.edu/Documents/in/Solid_Phase_Microextraction"},{"id":486330,"name":"Polydimethylsiloxane","url":"https://www.academia.edu/Documents/in/Polydimethylsiloxane"},{"id":529560,"name":"Gas Chromatography/mass Spectrometry","url":"https://www.academia.edu/Documents/in/Gas_Chromatography_mass_Spectrometry"},{"id":883068,"name":"Agarwood","url":"https://www.academia.edu/Documents/in/Agarwood"},{"id":1567632,"name":"Divinylbenzene","url":"https://www.academia.edu/Documents/in/Divinylbenzene"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="119932504"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/119932504/Leakage_effects_on_the_variables_of_Water_Distribution_System"><img alt="Research paper thumbnail of Leakage effects on the variables of Water Distribution System" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/119932504/Leakage_effects_on_the_variables_of_Water_Distribution_System">Leakage effects on the variables of Water Distribution System</a></div><div class="wp-workCard_item"><span>2013 IEEE Conference on Systems, Process & Control (ICSPC)</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT One of the key factors to understand and find solutions for any challenge related to Wat...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT One of the key factors to understand and find solutions for any challenge related to Water Distribution System(WDS) is begin from understanding the behaviors of its variables under specific circumstances, in this paper various experiments are conducted to figure out and analyze the effects of leakage on the variables of WDS, i.e. pressure, pipe volume, velocity, water demands and flow. The results of these experiments showed that the most affected variables when the WDS suffer from leakage is the pressure, followed by flow, while the least affected variable is velocity.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="119932504"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="119932504"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 119932504; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=119932504]").text(description); $(".js-view-count[data-work-id=119932504]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 119932504; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='119932504']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 119932504, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=119932504]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":119932504,"title":"Leakage effects on the variables of Water Distribution System","translated_title":"","metadata":{"abstract":"ABSTRACT One of the key factors to understand and find solutions for any challenge related to Water Distribution System(WDS) is begin from understanding the behaviors of its variables under specific circumstances, in this paper various experiments are conducted to figure out and analyze the effects of leakage on the variables of WDS, i.e. pressure, pipe volume, velocity, water demands and flow. The results of these experiments showed that the most affected variables when the WDS suffer from leakage is the pressure, followed by flow, while the least affected variable is velocity.","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"publication_name":"2013 IEEE Conference on Systems, Process \u0026 Control (ICSPC)"},"translated_abstract":"ABSTRACT One of the key factors to understand and find solutions for any challenge related to Water Distribution System(WDS) is begin from understanding the behaviors of its variables under specific circumstances, in this paper various experiments are conducted to figure out and analyze the effects of leakage on the variables of WDS, i.e. pressure, pipe volume, velocity, water demands and flow. The results of these experiments showed that the most affected variables when the WDS suffer from leakage is the pressure, followed by flow, while the least affected variable is velocity.","internal_url":"https://www.academia.edu/119932504/Leakage_effects_on_the_variables_of_Water_Distribution_System","translated_internal_url":"","created_at":"2024-05-24T07:23:56.034-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1068986,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Leakage_effects_on_the_variables_of_Water_Distribution_System","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":512,"name":"Mechanics","url":"https://www.academia.edu/Documents/in/Mechanics"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="80570004"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/80570004/Classification_of_Agarwood_Oils_Using_K_NN_K_Fold"><img alt="Research paper thumbnail of Classification of Agarwood Oils Using K-NN K-Fold" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/80570004/Classification_of_Agarwood_Oils_Using_K_NN_K_Fold">Classification of Agarwood Oils Using K-NN K-Fold</a></div><div class="wp-workCard_item"><span>Sensor Letters</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Currently, the perfumery industries have been showing some interest in adding agarwood o...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Currently, the perfumery industries have been showing some interest in adding agarwood oils in their fragrance recipe because of its strong fixative effects and unique smell. From this highly interest of agarwood oil, there is a need for standardized agarwood oils grading system to be put into practice. In this study, selected agarwood-related chemicals compounds found in the GC-MS data analysis were used in order to group the samples into high and low. Electronic nose (EN) and Principal Component Analysis (PCA) were used in order to record sensors data and to select significant sensors. Lastly, from the classifier results, it was shown that the agarwood oils are successfully classified following two proposed groups high and low grades with high accuracy using k Nearest Neighbor k-fold (kNN k-fold).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="80570004"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="80570004"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 80570004; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=80570004]").text(description); $(".js-view-count[data-work-id=80570004]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 80570004; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='80570004']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 80570004, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=80570004]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":80570004,"title":"Classification of Agarwood Oils Using K-NN K-Fold","translated_title":"","metadata":{"abstract":"ABSTRACT Currently, the perfumery industries have been showing some interest in adding agarwood oils in their fragrance recipe because of its strong fixative effects and unique smell. From this highly interest of agarwood oil, there is a need for standardized agarwood oils grading system to be put into practice. In this study, selected agarwood-related chemicals compounds found in the GC-MS data analysis were used in order to group the samples into high and low. Electronic nose (EN) and Principal Component Analysis (PCA) were used in order to record sensors data and to select significant sensors. Lastly, from the classifier results, it was shown that the agarwood oils are successfully classified following two proposed groups high and low grades with high accuracy using k Nearest Neighbor k-fold (kNN k-fold).","publisher":"American Scientific Publishers","publication_date":{"day":null,"month":null,"year":2014,"errors":{}},"publication_name":"Sensor Letters"},"translated_abstract":"ABSTRACT Currently, the perfumery industries have been showing some interest in adding agarwood oils in their fragrance recipe because of its strong fixative effects and unique smell. From this highly interest of agarwood oil, there is a need for standardized agarwood oils grading system to be put into practice. In this study, selected agarwood-related chemicals compounds found in the GC-MS data analysis were used in order to group the samples into high and low. Electronic nose (EN) and Principal Component Analysis (PCA) were used in order to record sensors data and to select significant sensors. Lastly, from the classifier results, it was shown that the agarwood oils are successfully classified following two proposed groups high and low grades with high accuracy using k Nearest Neighbor k-fold (kNN k-fold).","internal_url":"https://www.academia.edu/80570004/Classification_of_Agarwood_Oils_Using_K_NN_K_Fold","translated_internal_url":"","created_at":"2022-06-02T17:39:01.595-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1068986,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Classification_of_Agarwood_Oils_Using_K_NN_K_Fold","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias"},"attachments":[],"research_interests":[{"id":524,"name":"Analytical Chemistry","url":"https://www.academia.edu/Documents/in/Analytical_Chemistry"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="1642156"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/1642156/IQ_Index_using_Alpha_Beta_correlation_of_EEG_power_spectrum_density_PSD_"><img alt="Research paper thumbnail of IQ Index using Alpha-Beta correlation of EEG power spectrum density (PSD)" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/1642156/IQ_Index_using_Alpha_Beta_correlation_of_EEG_power_spectrum_density_PSD_">IQ Index using Alpha-Beta correlation of EEG power spectrum density (PSD)</a></div><div class="wp-workCard_item"><span>Industrial Electronics & …</span><span>, Jan 1, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper presents a results of a study to investigate the relationship between Intelligence Quo...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper presents a results of a study to investigate the relationship between Intelligence Quotient (IQ) of humans with their Electroencephalogram (EEG) Spectrum Power in term of the correlation of Beta and Alpha band power. The EEG was recorded from 50 subjects with 21 males and 29 females (mean of age = 23.16, SD = 3.8) for two tasks; closed-eyes</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="1642156"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="1642156"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1642156; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1642156]").text(description); $(".js-view-count[data-work-id=1642156]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1642156; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='1642156']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 1642156, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=1642156]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":1642156,"title":"IQ Index using Alpha-Beta correlation of EEG power spectrum density (PSD)","translated_title":"","metadata":{"abstract":"This paper presents a results of a study to investigate the relationship between Intelligence Quotient (IQ) of humans with their Electroencephalogram (EEG) Spectrum Power in term of the correlation of Beta and Alpha band power. The EEG was recorded from 50 subjects with 21 males and 29 females (mean of age = 23.16, SD = 3.8) for two tasks; closed-eyes","publisher":"ieeexplore.ieee.org","publication_date":{"day":1,"month":1,"year":2010,"errors":{}},"publication_name":"Industrial Electronics \u0026 …"},"translated_abstract":"This paper presents a results of a study to investigate the relationship between Intelligence Quotient (IQ) of humans with their Electroencephalogram (EEG) Spectrum Power in term of the correlation of Beta and Alpha band power. The EEG was recorded from 50 subjects with 21 males and 29 females (mean of age = 23.16, SD = 3.8) for two tasks; closed-eyes","internal_url":"https://www.academia.edu/1642156/IQ_Index_using_Alpha_Beta_correlation_of_EEG_power_spectrum_density_PSD_","translated_internal_url":"","created_at":"2012-06-10T17:23:41.424-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1068986,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"IQ_Index_using_Alpha_Beta_correlation_of_EEG_power_spectrum_density_PSD_","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias"},"attachments":[],"research_interests":[{"id":76399,"name":"Industrial electronics","url":"https://www.academia.edu/Documents/in/Industrial_electronics"},{"id":187814,"name":"Electroencephalogram","url":"https://www.academia.edu/Documents/in/Electroencephalogram"},{"id":321836,"name":"Spectrum","url":"https://www.academia.edu/Documents/in/Spectrum"},{"id":749302,"name":"Indexation","url":"https://www.academia.edu/Documents/in/Indexation"},{"id":862679,"name":"Intelligence quotient","url":"https://www.academia.edu/Documents/in/Intelligence_quotient"},{"id":2521725,"name":"Power Spectrum Density","url":"https://www.academia.edu/Documents/in/Power_Spectrum_Density"}],"urls":[{"id":291757,"url":"http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05679391"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="1642153"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/1642153/EEG_Analysis_for_Brainwave_Balancing_Index_BBI_"><img alt="Research paper thumbnail of EEG Analysis for Brainwave Balancing Index (BBI)" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/1642153/EEG_Analysis_for_Brainwave_Balancing_Index_BBI_">EEG Analysis for Brainwave Balancing Index (BBI)</a></div><div class="wp-workCard_item"><span>Computational …</span><span>, Jan 1, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The purpose of this research is to establish the fundamental brainwave balancing index (BBI) usin...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The purpose of this research is to establish the fundamental brainwave balancing index (BBI) using EEG signals. Brainwave signals from EEG were measured and analyzed using intelligent signal processing techniques and specific algorithm. Consequently, the signals were statistically correlated with established psychoanalysis techniques to produce BBI system. The result shows that the PSD analysis provides reliable BBI with 80% conformity. The fundamental findings (brainwave balancing index and brain dominance) from this research can be served as a simple indicator of one's thinking leading to great opportunity for positive human potential development.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="1642153"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="1642153"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1642153; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1642153]").text(description); $(".js-view-count[data-work-id=1642153]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1642153; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='1642153']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 1642153, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=1642153]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":1642153,"title":"EEG Analysis for Brainwave Balancing Index (BBI)","translated_title":"","metadata":{"abstract":"The purpose of this research is to establish the fundamental brainwave balancing index (BBI) using EEG signals. Brainwave signals from EEG were measured and analyzed using intelligent signal processing techniques and specific algorithm. Consequently, the signals were statistically correlated with established psychoanalysis techniques to produce BBI system. The result shows that the PSD analysis provides reliable BBI with 80% conformity. The fundamental findings (brainwave balancing index and brain dominance) from this research can be served as a simple indicator of one's thinking leading to great opportunity for positive human potential development.","publisher":"ieeexplore.ieee.org","publication_date":{"day":1,"month":1,"year":2010,"errors":{}},"publication_name":"Computational …"},"translated_abstract":"The purpose of this research is to establish the fundamental brainwave balancing index (BBI) using EEG signals. Brainwave signals from EEG were measured and analyzed using intelligent signal processing techniques and specific algorithm. Consequently, the signals were statistically correlated with established psychoanalysis techniques to produce BBI system. The result shows that the PSD analysis provides reliable BBI with 80% conformity. The fundamental findings (brainwave balancing index and brain dominance) from this research can be served as a simple indicator of one's thinking leading to great opportunity for positive human potential development.","internal_url":"https://www.academia.edu/1642153/EEG_Analysis_for_Brainwave_Balancing_Index_BBI_","translated_internal_url":"","created_at":"2012-06-10T17:22:57.975-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1068986,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"EEG_Analysis_for_Brainwave_Balancing_Index_BBI_","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias"},"attachments":[],"research_interests":[{"id":49,"name":"Electrical Engineering","url":"https://www.academia.edu/Documents/in/Electrical_Engineering"},{"id":2141,"name":"Signal Processing","url":"https://www.academia.edu/Documents/in/Signal_Processing"},{"id":242997,"name":"Computational","url":"https://www.academia.edu/Documents/in/Computational"},{"id":749302,"name":"Indexation","url":"https://www.academia.edu/Documents/in/Indexation"},{"id":846015,"name":"Electrodes","url":"https://www.academia.edu/Documents/in/Electrodes"},{"id":1006047,"name":"Indexes","url":"https://www.academia.edu/Documents/in/Indexes"},{"id":1393305,"name":"Electric Potential","url":"https://www.academia.edu/Documents/in/Electric_Potential"}],"urls":[{"id":291754,"url":"http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5614536"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="219194" id="papers"><div class="js-work-strip profile--work_container" data-work-id="119932511"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/119932511/Slow_and_fast_eeg_waves_analysis_for_Kolbs_learning_style_classification"><img alt="Research paper thumbnail of Slow and fast eeg waves analysis for Kolb's learning style classification" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/119932511/Slow_and_fast_eeg_waves_analysis_for_Kolbs_learning_style_classification">Slow and fast eeg waves analysis for Kolb's learning style classification</a></div><div class="wp-workCard_item"><span>Journal of Engineering and Applied Sciences</span><span>, 2017</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="119932511"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="119932511"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 119932511; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=119932511]").text(description); $(".js-view-count[data-work-id=119932511]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 119932511; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='119932511']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 119932511, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=119932511]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":119932511,"title":"Slow and fast eeg waves analysis for Kolb's learning style classification","translated_title":"","metadata":{"publisher":"Medwell Publications","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"Journal of Engineering and Applied Sciences"},"translated_abstract":null,"internal_url":"https://www.academia.edu/119932511/Slow_and_fast_eeg_waves_analysis_for_Kolbs_learning_style_classification","translated_internal_url":"","created_at":"2024-05-24T07:23:58.136-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1068986,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Slow_and_fast_eeg_waves_analysis_for_Kolbs_learning_style_classification","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias"},"attachments":[],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography"},{"id":1928694,"name":"Engineering and Applied Sciences","url":"https://www.academia.edu/Documents/in/Engineering_and_Applied_Sciences"}],"urls":[{"id":42283645,"url":"https://doi.org/10.3923/jeasci.2017.508.512"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="119932510"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/119932510/EEG_brainwave_pattern_for_smoking_behaviour_after_Horizontal_Rotation_treatment"><img alt="Research paper thumbnail of EEG brainwave pattern for smoking behaviour after Horizontal Rotation treatment" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/119932510/EEG_brainwave_pattern_for_smoking_behaviour_after_Horizontal_Rotation_treatment">EEG brainwave pattern for smoking behaviour after Horizontal Rotation treatment</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">... Zodie Mohamed Hanafiah1,2, Khairul Fatiah Md Yunos1, Zunairah Hj Murat1,2, Mohd Nasir Taib1,2...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">... Zodie Mohamed Hanafiah1,2, Khairul Fatiah Md Yunos1, Zunairah Hj Murat1,2, Mohd Nasir Taib1,2 ,Sahrim Lias1,2 ... It was found that, HR significantly improves the Alpha band that could reduce the smoking habit. .H\ZRUGV ((* +RUL]RQWDO 5RWDWLRQ +5 ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="119932510"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="119932510"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 119932510; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=119932510]").text(description); $(".js-view-count[data-work-id=119932510]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 119932510; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='119932510']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 119932510, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=119932510]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":119932510,"title":"EEG brainwave pattern for smoking behaviour after Horizontal Rotation treatment","translated_title":"","metadata":{"abstract":"... Zodie Mohamed Hanafiah1,2, Khairul Fatiah Md Yunos1, Zunairah Hj Murat1,2, Mohd Nasir Taib1,2 ,Sahrim Lias1,2 ... It was found that, HR significantly improves the Alpha band that could reduce the smoking habit. .H\\ZRUGV ((* +RUL]RQWDO 5RWDWLRQ +5 ...","publication_date":{"day":null,"month":null,"year":2009,"errors":{}}},"translated_abstract":"... Zodie Mohamed Hanafiah1,2, Khairul Fatiah Md Yunos1, Zunairah Hj Murat1,2, Mohd Nasir Taib1,2 ,Sahrim Lias1,2 ... It was found that, HR significantly improves the Alpha band that could reduce the smoking habit. .H\\ZRUGV ((* +RUL]RQWDO 5RWDWLRQ +5 ...","internal_url":"https://www.academia.edu/119932510/EEG_brainwave_pattern_for_smoking_behaviour_after_Horizontal_Rotation_treatment","translated_internal_url":"","created_at":"2024-05-24T07:23:57.870-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1068986,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"EEG_brainwave_pattern_for_smoking_behaviour_after_Horizontal_Rotation_treatment","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias"},"attachments":[],"research_interests":[{"id":4139,"name":"Audiology","url":"https://www.academia.edu/Documents/in/Audiology"},{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":60806,"name":"IEEE Student Member","url":"https://www.academia.edu/Documents/in/IEEE_Student_Member"}],"urls":[{"id":42283644,"url":"https://doi.org/10.1109/scored.2009.5442937"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="119932509"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/119932509/Statistical_Analysis_of_Cymbopogon_Chemical_Compounds_for_Oils_Species"><img alt="Research paper thumbnail of Statistical Analysis of Cymbopogon Chemical Compounds for Oils Species" class="work-thumbnail" src="https://attachments.academia-assets.com/115234684/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/119932509/Statistical_Analysis_of_Cymbopogon_Chemical_Compounds_for_Oils_Species">Statistical Analysis of Cymbopogon Chemical Compounds for Oils Species</a></div><div class="wp-workCard_item"><span>Journal of electrical and electronic systems research</span><span>, Jun 1, 2020</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7807f118e924ae6430e0faf7beaf8456" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":115234684,"asset_id":119932509,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/115234684/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="119932509"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="119932509"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 119932509; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=119932509]").text(description); $(".js-view-count[data-work-id=119932509]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 119932509; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='119932509']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 119932509, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7807f118e924ae6430e0faf7beaf8456" } } $('.js-work-strip[data-work-id=119932509]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":119932509,"title":"Statistical Analysis of Cymbopogon Chemical Compounds for Oils Species","translated_title":"","metadata":{"publisher":"UiTM Press, Universiti Teknologi MARA","grobid_abstract":"Cymbopogon essential oil is extracted from the Cymbopogon species which are citronella and lemongrass. This situation may cause confusion and mistake by the selection of the planters. This essential oil is commonly used as aromatherapy and pharmacological activities such as anti-bacterial. The compounds identified in this Cymbopogon oils are mainly geraniol, citronellal, citronellol, geranyl acetate, linalool, limonene and germacrene D. The paper aims to summarize the statistical analysis of Cymbopogon chemical compounds between citronella and lemongrass for oils species by using SPSS software. This study consists of data extraction for the oils species using GC-MS machine to identify their chemical compounds. Then, statistical analysis data was performed which consist of the values of abundances. Next, the descriptive statistics data was carried out by evaluating the minimum and maximum data, mean, standard deviation, variance and kurtosis. The result showed that geraniol compound achieved the highest value of abundances and descriptive statistics for both datasets compared to other compounds because it has a role as a fragrance, an allergen and a plant metabolite. This is proven that statistical analysis and descriptive statistics in this study were able to summarize the preliminary data of Cymbopogon oil compounds according to its species which are lemongrass and citronella.","publication_date":{"day":1,"month":6,"year":2020,"errors":{}},"publication_name":"Journal of electrical and electronic systems research","grobid_abstract_attachment_id":115234684},"translated_abstract":null,"internal_url":"https://www.academia.edu/119932509/Statistical_Analysis_of_Cymbopogon_Chemical_Compounds_for_Oils_Species","translated_internal_url":"","created_at":"2024-05-24T07:23:57.601-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1068986,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":115234684,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/115234684/thumbnails/1.jpg","file_name":"jeesr.v16i1.pdf","download_url":"https://www.academia.edu/attachments/115234684/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Statistical_Analysis_of_Cymbopogon_Chemi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/115234684/jeesr.v16i1-libre.pdf?1716568169=\u0026response-content-disposition=attachment%3B+filename%3DStatistical_Analysis_of_Cymbopogon_Chemi.pdf\u0026Expires=1732389069\u0026Signature=Iu0PbWx6WR5IyaRz-wh31aHgrKr3xWlB9tssdsKXj8BD5aPwP~tQDo09R3~uPlcnTJ5E~g10bynYfNlO6UhHb2NU-Lu0A2uzX0DAHT2lYr0OgIqAVMsRVv10o61DfNb5MRlzyDbQhfSlzUJnEYPmniZpv7UIuxF3SpdT47pZ5mbnr81AoaG-38bTuSHOSmW2qN3EvqUidcgFLCrfjjrpWTvgf~ypQSGq8YJ0QfdNBPyLEBu8FQod8vvyZx22939jmjflNCaPfa~V~ylB9cy-asjebB9SpSYkuXvTr8UCtimTTTo0VzlwHMpVs4ROcDXUXuQLr2MfzaTq-5OmbmdA8w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Statistical_Analysis_of_Cymbopogon_Chemical_Compounds_for_Oils_Species","translated_slug":"","page_count":7,"language":"en","content_type":"Work","owner":{"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias"},"attachments":[{"id":115234684,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/115234684/thumbnails/1.jpg","file_name":"jeesr.v16i1.pdf","download_url":"https://www.academia.edu/attachments/115234684/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Statistical_Analysis_of_Cymbopogon_Chemi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/115234684/jeesr.v16i1-libre.pdf?1716568169=\u0026response-content-disposition=attachment%3B+filename%3DStatistical_Analysis_of_Cymbopogon_Chemi.pdf\u0026Expires=1732389070\u0026Signature=PI~FKcXuncxHDxXKq4MIGZ3ziESoQAF6jtv2NSBESFCANlYY892F5CB5BllQJyq2Kz7NzLqMpn0Xj524AWlV1ssPm7XEMwZjyaYe80dAyxdpoa7K~pqrFV3zDuVssAmEDxpw5C2T41LUEk21TMveelNu-7uc47vYL5txHH5h6ofZiYqIQ1O81S0YC7O8FVCQCBdoCcEVWpGzaWGrOL1U64kA~1FoysAcpb97z86MHUOmmfxt3sIYM4IFe2G0oGv7X5wNrWpltKuu1KGkyLD-kqSTZBpSpxJnVUmQH6uM942ps~5~G4MOLAgrKZJgxcQf5C0UGSYidz-xG-QPu-8sbA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"}],"urls":[{"id":42283643,"url":"https://doi.org/10.24191/jeesr.v16i1.013"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="119932508"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/119932508/Classification_of_Selected_Essential_Oil_from_Family_Zingiberaceae_Using_E_Nose_and_Discriminant_Factorial_Analysis_DFA_Techniques_An_Initial_Study"><img alt="Research paper thumbnail of Classification of Selected Essential Oil from Family Zingiberaceae Using E-Nose and Discriminant Factorial Analysis (DFA) Techniques: An Initial Study" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/119932508/Classification_of_Selected_Essential_Oil_from_Family_Zingiberaceae_Using_E_Nose_and_Discriminant_Factorial_Analysis_DFA_Techniques_An_Initial_Study">Classification of Selected Essential Oil from Family Zingiberaceae Using E-Nose and Discriminant Factorial Analysis (DFA) Techniques: An Initial Study</a></div><div class="wp-workCard_item"><span>Applied Mechanics and Materials</span><span>, Oct 1, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Essential oils are very valuable natural resources and considered as secondary metabolites. They ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Essential oils are very valuable natural resources and considered as secondary metabolites. They are produced from several parts of aromatic plant by using different type of extraction techniques. Each technique produced slightly different output oil yield and smell however they produced the same major chemicals compound markers when they are analysed using chemical analysis and profiling technique. Pure essential oils are known to have very strong odor and there are several techniques used to differentiate the volatile odor generated. In this study, Electronic Nose (E-Nose) technology is used to distinguish the smell among 8 samples selected within the same Zingiberaceae family. Their pattern recognition profiles were examined by statistical analysis using Discriminant Factorial Analysis (DFA). The result shows that the E-Nose technology combined with DFA were successfully discriminating all 8 samples within the same family with significant p-values &amp;amp;amp;amp;lt; 0.05 across all samples and 100% recognition value.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="119932508"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="119932508"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 119932508; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=119932508]").text(description); $(".js-view-count[data-work-id=119932508]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 119932508; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='119932508']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 119932508, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=119932508]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":119932508,"title":"Classification of Selected Essential Oil from Family Zingiberaceae Using E-Nose and Discriminant Factorial Analysis (DFA) Techniques: An Initial Study","translated_title":"","metadata":{"abstract":"Essential oils are very valuable natural resources and considered as secondary metabolites. They are produced from several parts of aromatic plant by using different type of extraction techniques. Each technique produced slightly different output oil yield and smell however they produced the same major chemicals compound markers when they are analysed using chemical analysis and profiling technique. Pure essential oils are known to have very strong odor and there are several techniques used to differentiate the volatile odor generated. In this study, Electronic Nose (E-Nose) technology is used to distinguish the smell among 8 samples selected within the same Zingiberaceae family. Their pattern recognition profiles were examined by statistical analysis using Discriminant Factorial Analysis (DFA). The result shows that the E-Nose technology combined with DFA were successfully discriminating all 8 samples within the same family with significant p-values \u0026amp;amp;amp;amp;lt; 0.05 across all samples and 100% recognition value.","publisher":"Trans Tech Publications","publication_date":{"day":1,"month":10,"year":2015,"errors":{}},"publication_name":"Applied Mechanics and Materials"},"translated_abstract":"Essential oils are very valuable natural resources and considered as secondary metabolites. They are produced from several parts of aromatic plant by using different type of extraction techniques. Each technique produced slightly different output oil yield and smell however they produced the same major chemicals compound markers when they are analysed using chemical analysis and profiling technique. Pure essential oils are known to have very strong odor and there are several techniques used to differentiate the volatile odor generated. In this study, Electronic Nose (E-Nose) technology is used to distinguish the smell among 8 samples selected within the same Zingiberaceae family. Their pattern recognition profiles were examined by statistical analysis using Discriminant Factorial Analysis (DFA). The result shows that the E-Nose technology combined with DFA were successfully discriminating all 8 samples within the same family with significant p-values \u0026amp;amp;amp;amp;lt; 0.05 across all samples and 100% recognition value.","internal_url":"https://www.academia.edu/119932508/Classification_of_Selected_Essential_Oil_from_Family_Zingiberaceae_Using_E_Nose_and_Discriminant_Factorial_Analysis_DFA_Techniques_An_Initial_Study","translated_internal_url":"","created_at":"2024-05-24T07:23:57.311-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1068986,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Classification_of_Selected_Essential_Oil_from_Family_Zingiberaceae_Using_E_Nose_and_Discriminant_Factorial_Analysis_DFA_Techniques_An_Initial_Study","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":78540,"name":"Linear Discriminant Analysis","url":"https://www.academia.edu/Documents/in/Linear_Discriminant_Analysis"},{"id":100842,"name":"Electronic Nose","url":"https://www.academia.edu/Documents/in/Electronic_Nose"},{"id":185109,"name":"ODOR","url":"https://www.academia.edu/Documents/in/ODOR"},{"id":234672,"name":"Zingiberaceae","url":"https://www.academia.edu/Documents/in/Zingiberaceae"}],"urls":[{"id":42283642,"url":"https://doi.org/10.4028/www.scientific.net/amm.799-800.932"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="119932507"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/119932507/A_Study_on_the_Application_of_Electronic_Nose_Coupled_with_DFA_and_Statistical_Analysis_for_Evaluating_the_Relationship_between_Sample_Volumes_versus_Sensor_Intensity_of_Agarwood_Essential_Oils_Blending_Ratio"><img alt="Research paper thumbnail of A Study on the Application of Electronic Nose Coupled with DFA and Statistical Analysis for Evaluating the Relationship between Sample Volumes versus Sensor Intensity of Agarwood Essential Oils Blending Ratio" class="work-thumbnail" src="https://attachments.academia-assets.com/115234683/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/119932507/A_Study_on_the_Application_of_Electronic_Nose_Coupled_with_DFA_and_Statistical_Analysis_for_Evaluating_the_Relationship_between_Sample_Volumes_versus_Sensor_Intensity_of_Agarwood_Essential_Oils_Blending_Ratio">A Study on the Application of Electronic Nose Coupled with DFA and Statistical Analysis for Evaluating the Relationship between Sample Volumes versus Sensor Intensity of Agarwood Essential Oils Blending Ratio</a></div><div class="wp-workCard_item"><span>MATEC Web of Conferences</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The exquisite agarwood oils are primary used for perfumery industries either as pure essential oi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The exquisite agarwood oils are primary used for perfumery industries either as pure essential oils or in a perfume base. Commonly, Agarwood oils are extracted from low grade 100% agarwood chips via distillation processes and the extracted oil is called as pure agarwood essential oil which containing 100% of extracted material. In perfumery industry, the agarwood pure oils are often blend with other essential oils such as geranium, sandalwood, gurjum balsam, jasmine and Ylang ylang to create rich, complex and pleasant oils compared to pure Agarwood oils smell alone that may not suit all users preferences. To dates, agarwood oil quality assessment is typically carried out manually via human olfactory system which produces different results and inconsistency from traders and buyers. From the results, multiple linear regression analysis used to run the multiple regression prediction models using combination of 11 sensors shown better results by increasing the R2 value from 0.674 to 0.9...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="af341fb1612576ba1d029604f6c43aae" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":115234683,"asset_id":119932507,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/115234683/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="119932507"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="119932507"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 119932507; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=119932507]").text(description); $(".js-view-count[data-work-id=119932507]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 119932507; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='119932507']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 119932507, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "af341fb1612576ba1d029604f6c43aae" } } $('.js-work-strip[data-work-id=119932507]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":119932507,"title":"A Study on the Application of Electronic Nose Coupled with DFA and Statistical Analysis for Evaluating the Relationship between Sample Volumes versus Sensor Intensity of Agarwood Essential Oils Blending Ratio","translated_title":"","metadata":{"abstract":"The exquisite agarwood oils are primary used for perfumery industries either as pure essential oils or in a perfume base. Commonly, Agarwood oils are extracted from low grade 100% agarwood chips via distillation processes and the extracted oil is called as pure agarwood essential oil which containing 100% of extracted material. In perfumery industry, the agarwood pure oils are often blend with other essential oils such as geranium, sandalwood, gurjum balsam, jasmine and Ylang ylang to create rich, complex and pleasant oils compared to pure Agarwood oils smell alone that may not suit all users preferences. To dates, agarwood oil quality assessment is typically carried out manually via human olfactory system which produces different results and inconsistency from traders and buyers. From the results, multiple linear regression analysis used to run the multiple regression prediction models using combination of 11 sensors shown better results by increasing the R2 value from 0.674 to 0.9...","publisher":"EDP Sciences","publication_date":{"day":null,"month":null,"year":2018,"errors":{}},"publication_name":"MATEC Web of Conferences"},"translated_abstract":"The exquisite agarwood oils are primary used for perfumery industries either as pure essential oils or in a perfume base. Commonly, Agarwood oils are extracted from low grade 100% agarwood chips via distillation processes and the extracted oil is called as pure agarwood essential oil which containing 100% of extracted material. In perfumery industry, the agarwood pure oils are often blend with other essential oils such as geranium, sandalwood, gurjum balsam, jasmine and Ylang ylang to create rich, complex and pleasant oils compared to pure Agarwood oils smell alone that may not suit all users preferences. To dates, agarwood oil quality assessment is typically carried out manually via human olfactory system which produces different results and inconsistency from traders and buyers. From the results, multiple linear regression analysis used to run the multiple regression prediction models using combination of 11 sensors shown better results by increasing the R2 value from 0.674 to 0.9...","internal_url":"https://www.academia.edu/119932507/A_Study_on_the_Application_of_Electronic_Nose_Coupled_with_DFA_and_Statistical_Analysis_for_Evaluating_the_Relationship_between_Sample_Volumes_versus_Sensor_Intensity_of_Agarwood_Essential_Oils_Blending_Ratio","translated_internal_url":"","created_at":"2024-05-24T07:23:57.063-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1068986,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":115234683,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/115234683/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/115234683/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Study_on_the_Application_of_Electronic.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/115234683/pdf-libre.pdf?1716568170=\u0026response-content-disposition=attachment%3B+filename%3DA_Study_on_the_Application_of_Electronic.pdf\u0026Expires=1732389070\u0026Signature=UsXZjDtiqxVC8ZLrFje-ce7m19Wa6ve8c8fhHqavDV~atYCSYbzh~121vmf9qmHe0GI6VPeni5Cl~XeMtr6HOqWwj-dRiGlarnuFeqodJ4nK9KLhoa7j6v39YJLfGGRcyVwXZn11T~3uWCfagSrzfJZgLyl3XjFE2Bm8MlZ8orxZDXEqgdQeytwqOFW6ZsBmSQrRXX3RNgyzd~0NOXYEE~9vI9U5wm~FiphvNCjOt5sMdbQqXvGOgKboMJm626n~hYPpmLkcqRmU~vKVZVJUCXRC6abIdZ8h3uq6L3iEIHMnr4j~0axHtW~9q66h~23yglFq~5DUOPvnnySDJitdtA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_Study_on_the_Application_of_Electronic_Nose_Coupled_with_DFA_and_Statistical_Analysis_for_Evaluating_the_Relationship_between_Sample_Volumes_versus_Sensor_Intensity_of_Agarwood_Essential_Oils_Blending_Ratio","translated_slug":"","page_count":6,"language":"en","content_type":"Work","owner":{"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias"},"attachments":[{"id":115234683,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/115234683/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/115234683/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Study_on_the_Application_of_Electronic.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/115234683/pdf-libre.pdf?1716568170=\u0026response-content-disposition=attachment%3B+filename%3DA_Study_on_the_Application_of_Electronic.pdf\u0026Expires=1732389070\u0026Signature=UsXZjDtiqxVC8ZLrFje-ce7m19Wa6ve8c8fhHqavDV~atYCSYbzh~121vmf9qmHe0GI6VPeni5Cl~XeMtr6HOqWwj-dRiGlarnuFeqodJ4nK9KLhoa7j6v39YJLfGGRcyVwXZn11T~3uWCfagSrzfJZgLyl3XjFE2Bm8MlZ8orxZDXEqgdQeytwqOFW6ZsBmSQrRXX3RNgyzd~0NOXYEE~9vI9U5wm~FiphvNCjOt5sMdbQqXvGOgKboMJm626n~hYPpmLkcqRmU~vKVZVJUCXRC6abIdZ8h3uq6L3iEIHMnr4j~0axHtW~9q66h~23yglFq~5DUOPvnnySDJitdtA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":48465,"name":"Essential Oil","url":"https://www.academia.edu/Documents/in/Essential_Oil"},{"id":883068,"name":"Agarwood","url":"https://www.academia.edu/Documents/in/Agarwood"}],"urls":[{"id":42283641,"url":"https://www.matec-conferences.org/10.1051/matecconf/201820102008/pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="119932506"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/119932506/Discrimination_of_Pure_and_Mixture_Agarwood_Oils_via_Electronic_Nose_Coupled_with_k_NN_kfold_Classifier"><img alt="Research paper thumbnail of Discrimination of Pure and Mixture Agarwood Oils via Electronic Nose Coupled with k-NN kfold Classifier" class="work-thumbnail" src="https://attachments.academia-assets.com/115234723/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/119932506/Discrimination_of_Pure_and_Mixture_Agarwood_Oils_via_Electronic_Nose_Coupled_with_k_NN_kfold_Classifier">Discrimination of Pure and Mixture Agarwood Oils via Electronic Nose Coupled with k-NN kfold Classifier</a></div><div class="wp-workCard_item"><span>Procedia Chemistry</span><span>, 2016</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4d50f8840a9852a28531e9b2982553e5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":115234723,"asset_id":119932506,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/115234723/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="119932506"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="119932506"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 119932506; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=119932506]").text(description); $(".js-view-count[data-work-id=119932506]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 119932506; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='119932506']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 119932506, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "4d50f8840a9852a28531e9b2982553e5" } } $('.js-work-strip[data-work-id=119932506]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":119932506,"title":"Discrimination of Pure and Mixture Agarwood Oils via Electronic Nose Coupled with k-NN kfold Classifier","translated_title":"","metadata":{"publisher":"Elsevier BV","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"Procedia Chemistry"},"translated_abstract":null,"internal_url":"https://www.academia.edu/119932506/Discrimination_of_Pure_and_Mixture_Agarwood_Oils_via_Electronic_Nose_Coupled_with_k_NN_kfold_Classifier","translated_internal_url":"","created_at":"2024-05-24T07:23:56.806-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1068986,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":115234723,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/115234723/thumbnails/1.jpg","file_name":"82353180.pdf","download_url":"https://www.academia.edu/attachments/115234723/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Discrimination_of_Pure_and_Mixture_Agarw.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/115234723/82353180-libre.pdf?1716568162=\u0026response-content-disposition=attachment%3B+filename%3DDiscrimination_of_Pure_and_Mixture_Agarw.pdf\u0026Expires=1732389070\u0026Signature=WsFDKdvXpik6jHJ7mVVxnGkPMI1K2c36iP~SpzbOEoQYQEONNfW8~wMvqndYzmrqWC4Gww7KU5iDNBWXfZAS13R2Z-FdrUphMnq6xNfROQ3qN003Btas02RwgYx7c065pz~N6k-sJ~YdJYSs97wKujnvLM77~EBNj5XWxEa4W8hOsZFj6hD2XeczHSejEmNdv427i46TUxONEjpeG31o1D5rgnaisBbfPwQmhY4vZwUxR5jl7TeGc3BVJFhRu1lymrqyRGMv7V5xknNb~5KN5i9aJc5jgNPRsD2Q-ZLl2ul64Y7iokXoON6qEyT3u7Im4FXsXdw1QFKEZpgZuSpdKQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Discrimination_of_Pure_and_Mixture_Agarwood_Oils_via_Electronic_Nose_Coupled_with_k_NN_kfold_Classifier","translated_slug":"","page_count":6,"language":"en","content_type":"Work","owner":{"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias"},"attachments":[{"id":115234723,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/115234723/thumbnails/1.jpg","file_name":"82353180.pdf","download_url":"https://www.academia.edu/attachments/115234723/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Discrimination_of_Pure_and_Mixture_Agarw.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/115234723/82353180-libre.pdf?1716568162=\u0026response-content-disposition=attachment%3B+filename%3DDiscrimination_of_Pure_and_Mixture_Agarw.pdf\u0026Expires=1732389070\u0026Signature=WsFDKdvXpik6jHJ7mVVxnGkPMI1K2c36iP~SpzbOEoQYQEONNfW8~wMvqndYzmrqWC4Gww7KU5iDNBWXfZAS13R2Z-FdrUphMnq6xNfROQ3qN003Btas02RwgYx7c065pz~N6k-sJ~YdJYSs97wKujnvLM77~EBNj5XWxEa4W8hOsZFj6hD2XeczHSejEmNdv427i46TUxONEjpeG31o1D5rgnaisBbfPwQmhY4vZwUxR5jl7TeGc3BVJFhRu1lymrqyRGMv7V5xknNb~5KN5i9aJc5jgNPRsD2Q-ZLl2ul64Y7iokXoON6qEyT3u7Im4FXsXdw1QFKEZpgZuSpdKQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":100842,"name":"Electronic Nose","url":"https://www.academia.edu/Documents/in/Electronic_Nose"},{"id":883068,"name":"Agarwood","url":"https://www.academia.edu/Documents/in/Agarwood"}],"urls":[{"id":42283640,"url":"https://api.elsevier.com/content/article/PII:S1876619616300341?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="119932505"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/119932505/Identification_of_Odor_Components_of_Agarwood"><img alt="Research paper thumbnail of Identification of Odor Components of Agarwood" class="work-thumbnail" src="https://attachments.academia-assets.com/115234722/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/119932505/Identification_of_Odor_Components_of_Agarwood">Identification of Odor Components of Agarwood</a></div><div class="wp-workCard_item"><span>Jurnal Teknologi</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article presents the use of Z-score in assessing the significant chemical compounds extracte...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This article presents the use of Z-score in assessing the significant chemical compounds extracted by head space solid phase microextraction (HS-SPME) and gas chromatography – mass spectrometry (GC-MS) analysis of an agarwood oil obtained from Melaka, Malaysia. Two types of SPME fiber; polydimethylsiloxane (PDMS) and divinylbenzene-carboxen-polydimethylsiloxane (DVB-CAR-PDMS) were used. During the extraction analysis, the results showed that at least 27 and 29 compounds were identified using PDMS and DVB-CAR-PDMS fiber, respectively. DVB-CAR-PDMS fiber was found to be more efficient in terms of selectivity of compounds extraction. The application of Z-score showed that eight and eleven marker compounds were determined in PDMS and DVB-CAR-PDMS fibers, respectively. 4-Phenyl-2-butanone, a-guaiene, β-agarofuran, a-bulnesene, a-agarofuran and 10-epi-g-eudesmol were some of the compounds selected and were often reported significantly in agarwood oils as key odor compounds. The informatio...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3843e1b766bf372d463238699681fd0c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":115234722,"asset_id":119932505,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/115234722/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="119932505"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="119932505"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 119932505; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=119932505]").text(description); $(".js-view-count[data-work-id=119932505]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 119932505; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='119932505']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 119932505, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3843e1b766bf372d463238699681fd0c" } } $('.js-work-strip[data-work-id=119932505]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":119932505,"title":"Identification of Odor Components of Agarwood","translated_title":"","metadata":{"abstract":"This article presents the use of Z-score in assessing the significant chemical compounds extracted by head space solid phase microextraction (HS-SPME) and gas chromatography – mass spectrometry (GC-MS) analysis of an agarwood oil obtained from Melaka, Malaysia. Two types of SPME fiber; polydimethylsiloxane (PDMS) and divinylbenzene-carboxen-polydimethylsiloxane (DVB-CAR-PDMS) were used. During the extraction analysis, the results showed that at least 27 and 29 compounds were identified using PDMS and DVB-CAR-PDMS fiber, respectively. DVB-CAR-PDMS fiber was found to be more efficient in terms of selectivity of compounds extraction. The application of Z-score showed that eight and eleven marker compounds were determined in PDMS and DVB-CAR-PDMS fibers, respectively. 4-Phenyl-2-butanone, a-guaiene, β-agarofuran, a-bulnesene, a-agarofuran and 10-epi-g-eudesmol were some of the compounds selected and were often reported significantly in agarwood oils as key odor compounds. The informatio...","publisher":"Penerbit UTM Press","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Jurnal Teknologi"},"translated_abstract":"This article presents the use of Z-score in assessing the significant chemical compounds extracted by head space solid phase microextraction (HS-SPME) and gas chromatography – mass spectrometry (GC-MS) analysis of an agarwood oil obtained from Melaka, Malaysia. Two types of SPME fiber; polydimethylsiloxane (PDMS) and divinylbenzene-carboxen-polydimethylsiloxane (DVB-CAR-PDMS) were used. During the extraction analysis, the results showed that at least 27 and 29 compounds were identified using PDMS and DVB-CAR-PDMS fiber, respectively. DVB-CAR-PDMS fiber was found to be more efficient in terms of selectivity of compounds extraction. The application of Z-score showed that eight and eleven marker compounds were determined in PDMS and DVB-CAR-PDMS fibers, respectively. 4-Phenyl-2-butanone, a-guaiene, β-agarofuran, a-bulnesene, a-agarofuran and 10-epi-g-eudesmol were some of the compounds selected and were often reported significantly in agarwood oils as key odor compounds. The informatio...","internal_url":"https://www.academia.edu/119932505/Identification_of_Odor_Components_of_Agarwood","translated_internal_url":"","created_at":"2024-05-24T07:23:56.654-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1068986,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":115234722,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/115234722/thumbnails/1.jpg","file_name":"b8f43138ff46af81ddea2e8e005061e4b6c8.pdf","download_url":"https://www.academia.edu/attachments/115234722/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Identification_of_Odor_Components_of_Aga.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/115234722/b8f43138ff46af81ddea2e8e005061e4b6c8-libre.pdf?1716568164=\u0026response-content-disposition=attachment%3B+filename%3DIdentification_of_Odor_Components_of_Aga.pdf\u0026Expires=1732389070\u0026Signature=ESLbpRnr3Csoe1zZKmHCG5eQZ0nMCDjT9aaQ-gCqfwSELBoxt5dgacJO~a3exHpHsFL5si46sPHX9px35OKsb3utGQyouKWn8jeH-oEzKDHgJ90b3D3yf2c78MVWMr21pcQo03BRx6T4s8itMLpTi6DywNzsBjIvsVL0QyW1~h8fROiY2vkdsT-3m7HcaLJbCUEeqc3wTvOTcDe-QHcNYwjZ6SyFWfa2yDtVeLnhkOwWeTo3XcOvlgA4d8LmPav5A0Nbr8gk5drMdixFYRp9T1luLGrbIUa6pfM-4dII5SDNFgGtpa461h6xsehFTfur5UkzTzNV5ek0ve~BFZjGVw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Identification_of_Odor_Components_of_Agarwood","translated_slug":"","page_count":5,"language":"en","content_type":"Work","owner":{"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias"},"attachments":[{"id":115234722,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/115234722/thumbnails/1.jpg","file_name":"b8f43138ff46af81ddea2e8e005061e4b6c8.pdf","download_url":"https://www.academia.edu/attachments/115234722/download_file?st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&st=MTczMjM4NTQ3MCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Identification_of_Odor_Components_of_Aga.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/115234722/b8f43138ff46af81ddea2e8e005061e4b6c8-libre.pdf?1716568164=\u0026response-content-disposition=attachment%3B+filename%3DIdentification_of_Odor_Components_of_Aga.pdf\u0026Expires=1732389070\u0026Signature=ESLbpRnr3Csoe1zZKmHCG5eQZ0nMCDjT9aaQ-gCqfwSELBoxt5dgacJO~a3exHpHsFL5si46sPHX9px35OKsb3utGQyouKWn8jeH-oEzKDHgJ90b3D3yf2c78MVWMr21pcQo03BRx6T4s8itMLpTi6DywNzsBjIvsVL0QyW1~h8fROiY2vkdsT-3m7HcaLJbCUEeqc3wTvOTcDe-QHcNYwjZ6SyFWfa2yDtVeLnhkOwWeTo3XcOvlgA4d8LmPav5A0Nbr8gk5drMdixFYRp9T1luLGrbIUa6pfM-4dII5SDNFgGtpa461h6xsehFTfur5UkzTzNV5ek0ve~BFZjGVw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":4656,"name":"Chromatography","url":"https://www.academia.edu/Documents/in/Chromatography"},{"id":161542,"name":"Solid Phase Microextraction","url":"https://www.academia.edu/Documents/in/Solid_Phase_Microextraction"},{"id":486330,"name":"Polydimethylsiloxane","url":"https://www.academia.edu/Documents/in/Polydimethylsiloxane"},{"id":529560,"name":"Gas Chromatography/mass Spectrometry","url":"https://www.academia.edu/Documents/in/Gas_Chromatography_mass_Spectrometry"},{"id":883068,"name":"Agarwood","url":"https://www.academia.edu/Documents/in/Agarwood"},{"id":1567632,"name":"Divinylbenzene","url":"https://www.academia.edu/Documents/in/Divinylbenzene"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="119932504"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/119932504/Leakage_effects_on_the_variables_of_Water_Distribution_System"><img alt="Research paper thumbnail of Leakage effects on the variables of Water Distribution System" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/119932504/Leakage_effects_on_the_variables_of_Water_Distribution_System">Leakage effects on the variables of Water Distribution System</a></div><div class="wp-workCard_item"><span>2013 IEEE Conference on Systems, Process & Control (ICSPC)</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT One of the key factors to understand and find solutions for any challenge related to Wat...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT One of the key factors to understand and find solutions for any challenge related to Water Distribution System(WDS) is begin from understanding the behaviors of its variables under specific circumstances, in this paper various experiments are conducted to figure out and analyze the effects of leakage on the variables of WDS, i.e. pressure, pipe volume, velocity, water demands and flow. The results of these experiments showed that the most affected variables when the WDS suffer from leakage is the pressure, followed by flow, while the least affected variable is velocity.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="119932504"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="119932504"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 119932504; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=119932504]").text(description); $(".js-view-count[data-work-id=119932504]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 119932504; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='119932504']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 119932504, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=119932504]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":119932504,"title":"Leakage effects on the variables of Water Distribution System","translated_title":"","metadata":{"abstract":"ABSTRACT One of the key factors to understand and find solutions for any challenge related to Water Distribution System(WDS) is begin from understanding the behaviors of its variables under specific circumstances, in this paper various experiments are conducted to figure out and analyze the effects of leakage on the variables of WDS, i.e. pressure, pipe volume, velocity, water demands and flow. The results of these experiments showed that the most affected variables when the WDS suffer from leakage is the pressure, followed by flow, while the least affected variable is velocity.","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"publication_name":"2013 IEEE Conference on Systems, Process \u0026 Control (ICSPC)"},"translated_abstract":"ABSTRACT One of the key factors to understand and find solutions for any challenge related to Water Distribution System(WDS) is begin from understanding the behaviors of its variables under specific circumstances, in this paper various experiments are conducted to figure out and analyze the effects of leakage on the variables of WDS, i.e. pressure, pipe volume, velocity, water demands and flow. The results of these experiments showed that the most affected variables when the WDS suffer from leakage is the pressure, followed by flow, while the least affected variable is velocity.","internal_url":"https://www.academia.edu/119932504/Leakage_effects_on_the_variables_of_Water_Distribution_System","translated_internal_url":"","created_at":"2024-05-24T07:23:56.034-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1068986,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Leakage_effects_on_the_variables_of_Water_Distribution_System","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":512,"name":"Mechanics","url":"https://www.academia.edu/Documents/in/Mechanics"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="80570004"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/80570004/Classification_of_Agarwood_Oils_Using_K_NN_K_Fold"><img alt="Research paper thumbnail of Classification of Agarwood Oils Using K-NN K-Fold" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/80570004/Classification_of_Agarwood_Oils_Using_K_NN_K_Fold">Classification of Agarwood Oils Using K-NN K-Fold</a></div><div class="wp-workCard_item"><span>Sensor Letters</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Currently, the perfumery industries have been showing some interest in adding agarwood o...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Currently, the perfumery industries have been showing some interest in adding agarwood oils in their fragrance recipe because of its strong fixative effects and unique smell. From this highly interest of agarwood oil, there is a need for standardized agarwood oils grading system to be put into practice. In this study, selected agarwood-related chemicals compounds found in the GC-MS data analysis were used in order to group the samples into high and low. Electronic nose (EN) and Principal Component Analysis (PCA) were used in order to record sensors data and to select significant sensors. Lastly, from the classifier results, it was shown that the agarwood oils are successfully classified following two proposed groups high and low grades with high accuracy using k Nearest Neighbor k-fold (kNN k-fold).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="80570004"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="80570004"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 80570004; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=80570004]").text(description); $(".js-view-count[data-work-id=80570004]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 80570004; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='80570004']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 80570004, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=80570004]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":80570004,"title":"Classification of Agarwood Oils Using K-NN K-Fold","translated_title":"","metadata":{"abstract":"ABSTRACT Currently, the perfumery industries have been showing some interest in adding agarwood oils in their fragrance recipe because of its strong fixative effects and unique smell. From this highly interest of agarwood oil, there is a need for standardized agarwood oils grading system to be put into practice. In this study, selected agarwood-related chemicals compounds found in the GC-MS data analysis were used in order to group the samples into high and low. Electronic nose (EN) and Principal Component Analysis (PCA) were used in order to record sensors data and to select significant sensors. Lastly, from the classifier results, it was shown that the agarwood oils are successfully classified following two proposed groups high and low grades with high accuracy using k Nearest Neighbor k-fold (kNN k-fold).","publisher":"American Scientific Publishers","publication_date":{"day":null,"month":null,"year":2014,"errors":{}},"publication_name":"Sensor Letters"},"translated_abstract":"ABSTRACT Currently, the perfumery industries have been showing some interest in adding agarwood oils in their fragrance recipe because of its strong fixative effects and unique smell. From this highly interest of agarwood oil, there is a need for standardized agarwood oils grading system to be put into practice. In this study, selected agarwood-related chemicals compounds found in the GC-MS data analysis were used in order to group the samples into high and low. Electronic nose (EN) and Principal Component Analysis (PCA) were used in order to record sensors data and to select significant sensors. Lastly, from the classifier results, it was shown that the agarwood oils are successfully classified following two proposed groups high and low grades with high accuracy using k Nearest Neighbor k-fold (kNN k-fold).","internal_url":"https://www.academia.edu/80570004/Classification_of_Agarwood_Oils_Using_K_NN_K_Fold","translated_internal_url":"","created_at":"2022-06-02T17:39:01.595-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1068986,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Classification_of_Agarwood_Oils_Using_K_NN_K_Fold","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias"},"attachments":[],"research_interests":[{"id":524,"name":"Analytical Chemistry","url":"https://www.academia.edu/Documents/in/Analytical_Chemistry"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="1642156"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/1642156/IQ_Index_using_Alpha_Beta_correlation_of_EEG_power_spectrum_density_PSD_"><img alt="Research paper thumbnail of IQ Index using Alpha-Beta correlation of EEG power spectrum density (PSD)" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/1642156/IQ_Index_using_Alpha_Beta_correlation_of_EEG_power_spectrum_density_PSD_">IQ Index using Alpha-Beta correlation of EEG power spectrum density (PSD)</a></div><div class="wp-workCard_item"><span>Industrial Electronics & …</span><span>, Jan 1, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper presents a results of a study to investigate the relationship between Intelligence Quo...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper presents a results of a study to investigate the relationship between Intelligence Quotient (IQ) of humans with their Electroencephalogram (EEG) Spectrum Power in term of the correlation of Beta and Alpha band power. The EEG was recorded from 50 subjects with 21 males and 29 females (mean of age = 23.16, SD = 3.8) for two tasks; closed-eyes</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="1642156"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="1642156"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1642156; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1642156]").text(description); $(".js-view-count[data-work-id=1642156]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1642156; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='1642156']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 1642156, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=1642156]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":1642156,"title":"IQ Index using Alpha-Beta correlation of EEG power spectrum density (PSD)","translated_title":"","metadata":{"abstract":"This paper presents a results of a study to investigate the relationship between Intelligence Quotient (IQ) of humans with their Electroencephalogram (EEG) Spectrum Power in term of the correlation of Beta and Alpha band power. The EEG was recorded from 50 subjects with 21 males and 29 females (mean of age = 23.16, SD = 3.8) for two tasks; closed-eyes","publisher":"ieeexplore.ieee.org","publication_date":{"day":1,"month":1,"year":2010,"errors":{}},"publication_name":"Industrial Electronics \u0026 …"},"translated_abstract":"This paper presents a results of a study to investigate the relationship between Intelligence Quotient (IQ) of humans with their Electroencephalogram (EEG) Spectrum Power in term of the correlation of Beta and Alpha band power. The EEG was recorded from 50 subjects with 21 males and 29 females (mean of age = 23.16, SD = 3.8) for two tasks; closed-eyes","internal_url":"https://www.academia.edu/1642156/IQ_Index_using_Alpha_Beta_correlation_of_EEG_power_spectrum_density_PSD_","translated_internal_url":"","created_at":"2012-06-10T17:23:41.424-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1068986,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"IQ_Index_using_Alpha_Beta_correlation_of_EEG_power_spectrum_density_PSD_","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias"},"attachments":[],"research_interests":[{"id":76399,"name":"Industrial electronics","url":"https://www.academia.edu/Documents/in/Industrial_electronics"},{"id":187814,"name":"Electroencephalogram","url":"https://www.academia.edu/Documents/in/Electroencephalogram"},{"id":321836,"name":"Spectrum","url":"https://www.academia.edu/Documents/in/Spectrum"},{"id":749302,"name":"Indexation","url":"https://www.academia.edu/Documents/in/Indexation"},{"id":862679,"name":"Intelligence quotient","url":"https://www.academia.edu/Documents/in/Intelligence_quotient"},{"id":2521725,"name":"Power Spectrum Density","url":"https://www.academia.edu/Documents/in/Power_Spectrum_Density"}],"urls":[{"id":291757,"url":"http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05679391"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="1642153"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/1642153/EEG_Analysis_for_Brainwave_Balancing_Index_BBI_"><img alt="Research paper thumbnail of EEG Analysis for Brainwave Balancing Index (BBI)" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/1642153/EEG_Analysis_for_Brainwave_Balancing_Index_BBI_">EEG Analysis for Brainwave Balancing Index (BBI)</a></div><div class="wp-workCard_item"><span>Computational …</span><span>, Jan 1, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The purpose of this research is to establish the fundamental brainwave balancing index (BBI) usin...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The purpose of this research is to establish the fundamental brainwave balancing index (BBI) using EEG signals. Brainwave signals from EEG were measured and analyzed using intelligent signal processing techniques and specific algorithm. Consequently, the signals were statistically correlated with established psychoanalysis techniques to produce BBI system. The result shows that the PSD analysis provides reliable BBI with 80% conformity. The fundamental findings (brainwave balancing index and brain dominance) from this research can be served as a simple indicator of one's thinking leading to great opportunity for positive human potential development.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="1642153"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="1642153"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1642153; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1642153]").text(description); $(".js-view-count[data-work-id=1642153]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1642153; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='1642153']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 1642153, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=1642153]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":1642153,"title":"EEG Analysis for Brainwave Balancing Index (BBI)","translated_title":"","metadata":{"abstract":"The purpose of this research is to establish the fundamental brainwave balancing index (BBI) using EEG signals. Brainwave signals from EEG were measured and analyzed using intelligent signal processing techniques and specific algorithm. Consequently, the signals were statistically correlated with established psychoanalysis techniques to produce BBI system. The result shows that the PSD analysis provides reliable BBI with 80% conformity. The fundamental findings (brainwave balancing index and brain dominance) from this research can be served as a simple indicator of one's thinking leading to great opportunity for positive human potential development.","publisher":"ieeexplore.ieee.org","publication_date":{"day":1,"month":1,"year":2010,"errors":{}},"publication_name":"Computational …"},"translated_abstract":"The purpose of this research is to establish the fundamental brainwave balancing index (BBI) using EEG signals. Brainwave signals from EEG were measured and analyzed using intelligent signal processing techniques and specific algorithm. Consequently, the signals were statistically correlated with established psychoanalysis techniques to produce BBI system. The result shows that the PSD analysis provides reliable BBI with 80% conformity. The fundamental findings (brainwave balancing index and brain dominance) from this research can be served as a simple indicator of one's thinking leading to great opportunity for positive human potential development.","internal_url":"https://www.academia.edu/1642153/EEG_Analysis_for_Brainwave_Balancing_Index_BBI_","translated_internal_url":"","created_at":"2012-06-10T17:22:57.975-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1068986,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"EEG_Analysis_for_Brainwave_Balancing_Index_BBI_","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":1068986,"first_name":"Sahrim","middle_initials":null,"last_name":"Lias","page_name":"SahrimLias","domain_name":"uitmshahalam","created_at":"2011-12-23T15:36:52.487-08:00","display_name":"Sahrim Lias","url":"https://uitmshahalam.academia.edu/SahrimLias"},"attachments":[],"research_interests":[{"id":49,"name":"Electrical Engineering","url":"https://www.academia.edu/Documents/in/Electrical_Engineering"},{"id":2141,"name":"Signal Processing","url":"https://www.academia.edu/Documents/in/Signal_Processing"},{"id":242997,"name":"Computational","url":"https://www.academia.edu/Documents/in/Computational"},{"id":749302,"name":"Indexation","url":"https://www.academia.edu/Documents/in/Indexation"},{"id":846015,"name":"Electrodes","url":"https://www.academia.edu/Documents/in/Electrodes"},{"id":1006047,"name":"Indexes","url":"https://www.academia.edu/Documents/in/Indexes"},{"id":1393305,"name":"Electric Potential","url":"https://www.academia.edu/Documents/in/Electric_Potential"}],"urls":[{"id":291754,"url":"http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5614536"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/google_contacts-0dfb882d836b94dbcb4a2d123d6933fc9533eda5be911641f20b4eb428429600.js"], function() { // from javascript_helper.rb $('.js-google-connect-button').click(function(e) { e.preventDefault(); GoogleContacts.authorize_and_show_contacts(); Aedu.Dismissibles.recordClickthrough("WowProfileImportContactsPrompt"); }); $('.js-update-biography-button').click(function(e) { e.preventDefault(); Aedu.Dismissibles.recordClickthrough("UpdateUserBiographyPrompt"); $.ajax({ url: $r.api_v0_profiles_update_about_path({ subdomain_param: 'api', about: "", }), type: 'PUT', success: function(response) { location.reload(); } }); }); $('.js-work-creator-button').click(function (e) { e.preventDefault(); window.location = $r.upload_funnel_document_path({ source: encodeURIComponent(""), }); }); $('.js-video-upload-button').click(function (e) { e.preventDefault(); window.location = $r.upload_funnel_video_path({ source: encodeURIComponent(""), }); }); $('.js-do-this-later-button').click(function() { $(this).closest('.js-profile-nag-panel').remove(); Aedu.Dismissibles.recordDismissal("WowProfileImportContactsPrompt"); }); $('.js-update-biography-do-this-later-button').click(function(){ $(this).closest('.js-profile-nag-panel').remove(); Aedu.Dismissibles.recordDismissal("UpdateUserBiographyPrompt"); }); $('.wow-profile-mentions-upsell--close').click(function(){ $('.wow-profile-mentions-upsell--panel').hide(); Aedu.Dismissibles.recordDismissal("WowProfileMentionsUpsell"); }); $('.wow-profile-mentions-upsell--button').click(function(){ Aedu.Dismissibles.recordClickthrough("WowProfileMentionsUpsell"); }); new WowProfile.SocialRedesignUserWorks({ initialWorksOffset: 20, allWorksOffset: 20, maxSections: 1 }) }); </script> </div></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile_edit-5ea339ee107c863779f560dd7275595239fed73f1a13d279d2b599a28c0ecd33.js","https://a.academia-assets.com/assets/add_coauthor-22174b608f9cb871d03443cafa7feac496fb50d7df2d66a53f5ee3c04ba67f53.js","https://a.academia-assets.com/assets/tab-dcac0130902f0cc2d8cb403714dd47454f11fc6fb0e99ae6a0827b06613abc20.js","https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js"], function() { // from javascript_helper.rb window.ae = window.ae || {}; window.ae.WowProfile = window.ae.WowProfile || {}; if(Aedu.User.current && Aedu.User.current.id === $viewedUser.id) { window.ae.WowProfile.current_user_edit = {}; new WowProfileEdit.EditUploadView({ el: '.js-edit-upload-button-wrapper', model: window.$current_user, }); new AddCoauthor.AddCoauthorsController(); } var userInfoView = new WowProfile.SocialRedesignUserInfo({ recaptcha_key: "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB" }); WowProfile.router = new WowProfile.Router({ userInfoView: userInfoView }); Backbone.history.start({ pushState: true, root: "/" + $viewedUser.page_name }); new WowProfile.UserWorksNav() }); </script> </div> <div class="bootstrap login"><div class="modal fade login-modal" id="login-modal"><div class="login-modal-dialog modal-dialog"><div class="modal-content"><div class="modal-header"><button class="close close" data-dismiss="modal" type="button"><span aria-hidden="true">×</span><span class="sr-only">Close</span></button><h4 class="modal-title text-center"><strong>Log In</strong></h4></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><button class="btn btn-fb btn-lg btn-block btn-v-center-content" id="login-facebook-oauth-button"><svg style="float: left; width: 19px; line-height: 1em; margin-right: .3em;" aria-hidden="true" focusable="false" data-prefix="fab" data-icon="facebook-square" class="svg-inline--fa fa-facebook-square fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M400 32H48A48 48 0 0 0 0 80v352a48 48 0 0 0 48 48h137.25V327.69h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.27c-30.81 0-40.42 19.12-40.42 38.73V256h68.78l-11 71.69h-57.78V480H400a48 48 0 0 0 48-48V80a48 48 0 0 0-48-48z"></path></svg><small><strong>Log in</strong> with <strong>Facebook</strong></small></button><br /><button class="btn btn-google btn-lg btn-block btn-v-center-content" id="login-google-oauth-button"><svg style="float: left; width: 22px; line-height: 1em; margin-right: .3em;" aria-hidden="true" focusable="false" data-prefix="fab" data-icon="google-plus" class="svg-inline--fa fa-google-plus fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M256,8C119.1,8,8,119.1,8,256S119.1,504,256,504,504,392.9,504,256,392.9,8,256,8ZM185.3,380a124,124,0,0,1,0-248c31.3,0,60.1,11,83,32.3l-33.6,32.6c-13.2-12.9-31.3-19.1-49.4-19.1-42.9,0-77.2,35.5-77.2,78.1S142.3,334,185.3,334c32.6,0,64.9-19.1,70.1-53.3H185.3V238.1H302.2a109.2,109.2,0,0,1,1.9,20.7c0,70.8-47.5,121.2-118.8,121.2ZM415.5,273.8v35.5H380V273.8H344.5V238.3H380V202.8h35.5v35.5h35.2v35.5Z"></path></svg><small><strong>Log in</strong> with <strong>Google</strong></small></button><br /><style type="text/css">.sign-in-with-apple-button { width: 100%; height: 52px; border-radius: 3px; border: 1px solid black; cursor: pointer; }</style><script src="https://appleid.cdn-apple.com/appleauth/static/jsapi/appleid/1/en_US/appleid.auth.js" type="text/javascript"></script><div class="sign-in-with-apple-button" data-border="false" data-color="white" id="appleid-signin"><span   ="Sign Up with Apple" class="u-fs11"></span></div><script>AppleID.auth.init({ clientId: 'edu.academia.applesignon', scope: 'name email', redirectURI: 'https://www.academia.edu/sessions', state: "d6ded72f2e600b1b88b6c9834da60f07a215199b12b00c346dd6e17fd62b37f5", });</script><script>// Hacky way of checking if on fast loswp if (window.loswp == null) { (function() { const Google = window?.Aedu?.Auth?.OauthButton?.Login?.Google; const Facebook = window?.Aedu?.Auth?.OauthButton?.Login?.Facebook; if (Google) { new Google({ el: '#login-google-oauth-button', rememberMeCheckboxId: 'remember_me', track: null }); } if (Facebook) { new Facebook({ el: '#login-facebook-oauth-button', rememberMeCheckboxId: 'remember_me', track: null }); } })(); }</script></div></div></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><div class="hr-heading login-hr-heading"><span class="hr-heading-text">or</span></div></div></div></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><form class="js-login-form" action="https://www.academia.edu/sessions" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="✓" autocomplete="off" /><input type="hidden" name="authenticity_token" value="zasYMBPIq7HxgQfCZ9yEcDFsepnJhBQb1C6khtga2VsgATA+euIsV0rhR7J5gW3PhEN23lvfxl0LKDM1z/Godw==" autocomplete="off" /><div class="form-group"><label class="control-label" for="login-modal-email-input" style="font-size: 14px;">Email</label><input class="form-control" id="login-modal-email-input" name="login" type="email" /></div><div class="form-group"><label class="control-label" for="login-modal-password-input" style="font-size: 14px;">Password</label><input class="form-control" id="login-modal-password-input" name="password" type="password" /></div><input type="hidden" name="post_login_redirect_url" id="post_login_redirect_url" value="https://uitmshahalam.academia.edu/SahrimLias" autocomplete="off" /><div class="checkbox"><label><input type="checkbox" name="remember_me" id="remember_me" value="1" checked="checked" /><small style="font-size: 12px; margin-top: 2px; display: inline-block;">Remember me on this computer</small></label></div><br><input type="submit" name="commit" value="Log In" class="btn btn-primary btn-block btn-lg js-login-submit" data-disable-with="Log In" /></br></form><script>typeof window?.Aedu?.recaptchaManagedForm === 'function' && window.Aedu.recaptchaManagedForm( document.querySelector('.js-login-form'), document.querySelector('.js-login-submit') );</script><small style="font-size: 12px;"><br />or <a data-target="#login-modal-reset-password-container" data-toggle="collapse" href="javascript:void(0)">reset password</a></small><div class="collapse" id="login-modal-reset-password-container"><br /><div class="well margin-0x"><form class="js-password-reset-form" action="https://www.academia.edu/reset_password" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="✓" autocomplete="off" /><input type="hidden" name="authenticity_token" value="rHPAJRXgDkgV82JOQ2ql8VHI3lZIhrmuv3/PG+plMC1B2egrfMqJrq6TIj5dN0xO5OfSEdrda+hgeVio/Y5BAQ==" autocomplete="off" /><p>Enter the email address you signed up with and we'll email you a reset link.</p><div class="form-group"><input class="form-control" name="email" type="email" /></div><script src="https://recaptcha.net/recaptcha/api.js" async defer></script> <script> var invisibleRecaptchaSubmit = function () { var closestForm = function (ele) { var curEle = ele.parentNode; while (curEle.nodeName !== 'FORM' && curEle.nodeName !== 'BODY'){ curEle = curEle.parentNode; } return curEle.nodeName === 'FORM' ? curEle : null }; var eles = document.getElementsByClassName('g-recaptcha'); if (eles.length > 0) { var form = closestForm(eles[0]); if (form) { form.submit(); } } }; </script> <input type="submit" data-sitekey="6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj" data-callback="invisibleRecaptchaSubmit" class="g-recaptcha btn btn-primary btn-block" value="Email me a link" value=""/> </form></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/collapse-45805421cf446ca5adf7aaa1935b08a3a8d1d9a6cc5d91a62a2a3a00b20b3e6a.js"], function() { // from javascript_helper.rb $("#login-modal-reset-password-container").on("shown.bs.collapse", function() { $(this).find("input[type=email]").focus(); }); }); </script> </div></div></div><div class="modal-footer"><div class="text-center"><small style="font-size: 12px;">Need an account? <a rel="nofollow" href="https://www.academia.edu/signup">Click here to sign up</a></small></div></div></div></div></div></div><script>// If we are on subdomain or non-bootstrapped page, redirect to login page instead of showing modal (function(){ if (typeof $ === 'undefined') return; var host = window.location.hostname; if ((host === $domain || host === "www."+$domain) && (typeof $().modal === 'function')) { $("#nav_log_in").click(function(e) { // Don't follow the link and open the modal e.preventDefault(); $("#login-modal").on('shown.bs.modal', function() { $(this).find("#login-modal-email-input").focus() }).modal('show'); }); } })()</script> <div class="bootstrap" id="footer"><div class="footer-content clearfix text-center padding-top-7x" style="width:100%;"><ul class="footer-links-secondary footer-links-wide list-inline margin-bottom-1x"><li><a href="https://www.academia.edu/about">About</a></li><li><a href="https://www.academia.edu/press">Press</a></li><li><a rel="nofollow" href="https://medium.com/academia">Blog</a></li><li><a href="https://www.academia.edu/documents">Papers</a></li><li><a href="https://www.academia.edu/topics">Topics</a></li><li><a href="https://www.academia.edu/journals">Academia.edu Journals</a></li><li><a rel="nofollow" href="https://www.academia.edu/hiring"><svg style="width: 13px; height: 13px;" aria-hidden="true" focusable="false" data-prefix="fas" data-icon="briefcase" class="svg-inline--fa fa-briefcase fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M320 336c0 8.84-7.16 16-16 16h-96c-8.84 0-16-7.16-16-16v-48H0v144c0 25.6 22.4 48 48 48h416c25.6 0 48-22.4 48-48V288H320v48zm144-208h-80V80c0-25.6-22.4-48-48-48H176c-25.6 0-48 22.4-48 48v48H48c-25.6 0-48 22.4-48 48v80h512v-80c0-25.6-22.4-48-48-48zm-144 0H192V96h128v32z"></path></svg> <strong>We're Hiring!</strong></a></li><li><a rel="nofollow" href="https://support.academia.edu/"><svg style="width: 12px; height: 12px;" aria-hidden="true" focusable="false" data-prefix="fas" data-icon="question-circle" class="svg-inline--fa fa-question-circle fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M504 256c0 136.997-111.043 248-248 248S8 392.997 8 256C8 119.083 119.043 8 256 8s248 111.083 248 248zM262.655 90c-54.497 0-89.255 22.957-116.549 63.758-3.536 5.286-2.353 12.415 2.715 16.258l34.699 26.31c5.205 3.947 12.621 3.008 16.665-2.122 17.864-22.658 30.113-35.797 57.303-35.797 20.429 0 45.698 13.148 45.698 32.958 0 14.976-12.363 22.667-32.534 33.976C247.128 238.528 216 254.941 216 296v4c0 6.627 5.373 12 12 12h56c6.627 0 12-5.373 12-12v-1.333c0-28.462 83.186-29.647 83.186-106.667 0-58.002-60.165-102-116.531-102zM256 338c-25.365 0-46 20.635-46 46 0 25.364 20.635 46 46 46s46-20.636 46-46c0-25.365-20.635-46-46-46z"></path></svg> <strong>Help Center</strong></a></li></ul><ul class="footer-links-tertiary list-inline margin-bottom-1x"><li class="small">Find new research papers in:</li><li class="small"><a href="https://www.academia.edu/Documents/in/Physics">Physics</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Chemistry">Chemistry</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Biology">Biology</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Health_Sciences">Health Sciences</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Ecology">Ecology</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Earth_Sciences">Earth Sciences</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Cognitive_Science">Cognitive Science</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Mathematics">Mathematics</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a></li></ul></div></div><div class="DesignSystem" id="credit" style="width:100%;"><ul class="u-pl0x footer-links-legal list-inline"><li><a rel="nofollow" href="https://www.academia.edu/terms">Terms</a></li><li><a rel="nofollow" href="https://www.academia.edu/privacy">Privacy</a></li><li><a rel="nofollow" href="https://www.academia.edu/copyright">Copyright</a></li><li>Academia ©2024</li></ul></div><script> //<![CDATA[ window.detect_gmtoffset = true; window.Academia && window.Academia.set_gmtoffset && Academia.set_gmtoffset('/gmtoffset'); //]]> </script> <div id='overlay_background'></div> <div id='bootstrap-modal-container' class='bootstrap'></div> <div id='ds-modal-container' class='bootstrap DesignSystem'></div> <div id='full-screen-modal'></div> </div> </body> </html>