CINXE.COM

<!DOCTYPE html> <html lang="en" dir="ltr"> <head>  <script async src="https://www.googletagmanager.com/gtag/js?id=G-P63WKM1TM1"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-P63WKM1TM1'); </script>  <script type="text/javascript" > (function(m,e,t,r,i,k,a){m[i]=m[i]||function(){(m[i].a=m[i].a||[]).push(arguments)}; m[i].l=1*new Date(); for (var j = 0; j < document.scripts.length; j++) {if (document.scripts[j].src === r) { return; }} k=e.createElement(t),a=e.getElementsByTagName(t)[0],k.async=1,k.src=r,a.parentNode.insertBefore(k,a)}) (window, document, "script", "https://mc.yandex.ru/metrika/tag.js", "ym"); ym(55165297, "init", { clickmap:false, trackLinks:true, accurateTrackBounce:true, webvisor:false }); </script> <noscript><div><img src="https://mc.yandex.ru/watch/55165297" style="position:absolute; left:-9999px;" alt="" /></div></noscript>    <title>Search results for: atmospheric physics models</title> <meta name="description" content="Search results for: atmospheric physics models"> <meta name="keywords" content="atmospheric physics models"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler ml-auto" type="button" data-toggle="collapse" data-target="#navbarMenu" aria-controls="navbarMenu" aria-expanded="false" aria-label="Toggle navigation"> <span class="navbar-toggler-icon"></span> </button> <div class="w-100"> <div class="d-none d-lg-flex flex-row-reverse"> <form method="get" action="https://waset.org/search" class="form-inline my-2 my-lg-0"> <input class="form-control mr-sm-2" type="search" placeholder="Search Conferences" value="atmospheric physics models" name="q" aria-label="Search"> <button class="btn btn-light my-2 my-sm-0" type="submit"><i class="fas fa-search"></i></button> </form> </div> <div class="collapse navbar-collapse mt-1" id="navbarMenu"> <ul class="navbar-nav ml-auto align-items-center" id="mainNavMenu"> <li class="nav-item"> <a class="nav-link" href="https://waset.org/conferences" title="Conferences in 2024/2025/2026">Conferences</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/disciplines" title="Disciplines">Disciplines</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/committees" rel="nofollow">Committees</a> </li> <li class="nav-item dropdown"> <a class="nav-link dropdown-toggle" href="#" id="navbarDropdownPublications" role="button" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false"> Publications </a> <div class="dropdown-menu" aria-labelledby="navbarDropdownPublications"> <a class="dropdown-item" href="https://publications.waset.org/abstracts">Abstracts</a> <a class="dropdown-item" href="https://publications.waset.org">Periodicals</a> <a class="dropdown-item" href="https://publications.waset.org/archive">Archive</a> </div> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/page/support" title="Support">Support</a> </li> </ul> </div> </div> </nav> </div> </header> <main> <div class="container mt-4"> <div class="row"> <div class="col-md-9 mx-auto"> <form method="get" action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="atmospheric physics models"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 7754</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: atmospheric physics models</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7754</span> Determination of Direct Solar Radiation Using Atmospheric Physics Models</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pattra%20Pukdeekiat">Pattra Pukdeekiat</a>, <a href="https://publications.waset.org/abstracts/search?q=Siriluk%20Ruangrungrote"> Siriluk Ruangrungrote</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This work was originated to precisely determine direct solar radiation by using atmospheric physics models since the accurate prediction of solar radiation is necessary and useful for solar energy applications including atmospheric research. The possible models and techniques for a calculation of regional direct solar radiation were challenging and compulsory for the case of unavailable instrumental measurement. The investigation was mathematically governed by six astronomical parameters i.e. declination (δ), hour angle (ω), solar time, solar zenith angle (θz), extraterrestrial radiation (Iso) and eccentricity (E0) along with two atmospheric parameters i.e. air mass (mr) and dew point temperature at Bangna meteorological station (13.67° N, 100.61° E) in Bangkok, Thailand. Analyses of five models of solar radiation determination with the assumption of clear sky were applied accompanied by three statistical tests: Mean Bias Difference (MBD), Root Mean Square Difference (RMSD) and Coefficient of determination (R2) in order to validate the accuracy of obtainable results. The calculated direct solar radiation was in a range of 491-505 Watt/m2 with relative percentage error 8.41% for winter and 532-540 Watt/m2 with relative percentage error 4.89% for summer 2014. Additionally, dataset of seven continuous days, representing both seasons were considered with the MBD, RMSD and R2 of -0.08, 0.25, 0.86 and -0.14, 0.35, 3.29, respectively, which belong to Kumar model for winter and CSR model for summer. In summary, the determination of direct solar radiation based on atmospheric models and empirical equations could advantageously provide immediate and reliable values of the solar components for any site in the region without a constraint of actual measurement. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=atmospheric%20physics%20models" title="atmospheric physics models">atmospheric physics models</a>, <a href="https://publications.waset.org/abstracts/search?q=astronomical%20parameters" title=" astronomical parameters"> astronomical parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=atmospheric%20parameters" title=" atmospheric parameters"> atmospheric parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=clear%20sky%20condition" title=" clear sky condition"> clear sky condition</a> </p> <a href="https://publications.waset.org/abstracts/38352/determination-of-direct-solar-radiation-using-atmospheric-physics-models" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/38352.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">409</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7753</span> Teaching Physics: History, Models, and Transformation of Physics Education Research</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=N.%20Didi%C5%9F%20K%C3%B6rhasan">N. Didiş Körhasan</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Kaltak%C3%A7%C4%B1%20G%C3%BCrel"> D. Kaltakçı Gürel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Many students have difficulty in learning physics from elementary to university level. In addition, students' expectancy, attitude, and motivation may be influenced negatively with their experience (failure) and prejudice about physics learning. For this reason, physics educators, who are also physics teachers, search for the best ways to make students' learning of physics easier by considering cognitive, affective, and psychomotor issues in learning. This research critically discusses the history of physics education, fundamental pedagogical approaches, and models to teach physics, and transformation of physics education with recent research. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pedagogy" title="pedagogy">pedagogy</a>, <a href="https://publications.waset.org/abstracts/search?q=physics" title=" physics"> physics</a>, <a href="https://publications.waset.org/abstracts/search?q=physics%20education" title=" physics education"> physics education</a>, <a href="https://publications.waset.org/abstracts/search?q=science%20education" title=" science education"> science education</a> </p> <a href="https://publications.waset.org/abstracts/53785/teaching-physics-history-models-and-transformation-of-physics-education-research" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/53785.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">264</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7752</span> The Design of the Questionnaire of Attitudes in Physics Teaching</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ricardo%20Merlo">Ricardo Merlo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Attitude is a hypothetical construct that can be significantly measured to know the favorable or unfavorable predisposition that students have towards the teaching of sciences such as Physics. Although the state-of-the-art attitude test used in Physics teaching indicated different design and validation models in different groups of students, the analysis of the weight given to each dimension that supported the attitude was scarcely evaluated. Then, in this work, a methodology of attitude questionnaire construction process was proposed that allowed the teacher to design and validate the measurement instrument for different subjects of Physics at the university level developed in the classroom according to the weight considered to the affective, knowledge, and behavioural dimensions. Finally, questionnaire models were tested for the case of incoming university students, achieving significant results in the improvement of Physics teaching. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=attitude" title="attitude">attitude</a>, <a href="https://publications.waset.org/abstracts/search?q=physics%20teaching" title=" physics teaching"> physics teaching</a>, <a href="https://publications.waset.org/abstracts/search?q=motivation" title=" motivation"> motivation</a>, <a href="https://publications.waset.org/abstracts/search?q=academic%20performance" title=" academic performance"> academic performance</a> </p> <a href="https://publications.waset.org/abstracts/182105/the-design-of-the-questionnaire-of-attitudes-in-physics-teaching" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/182105.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">69</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7751</span> Analysis of Atomic Models in High School Physics Textbooks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Meng-Fei%20Cheng">Meng-Fei Cheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Wei%20Fneg"> Wei Fneg</a> </p> <p class="card-text"><strong>Abstract:</strong></p> New Taiwan high school standards emphasize employing scientific models and modeling practices in physics learning. However, to our knowledge. Few studies address how scientific models and modeling are approached in current science teaching, and they do not examine the views of scientific models portrayed in the textbooks. To explore the views of scientific models and modeling in textbooks, this study investigated the atomic unit in different textbook versions as an example and provided suggestions for modeling curriculum. This study adopted a quantitative analysis of qualitative data in the atomic units of four mainstream version of Taiwan high school physics textbooks. The models were further analyzed using five dimensions of the views of scientific models (nature of models, multiple models, purpose of the models, testing models, and changing models); each dimension had three levels (low, medium, high). Descriptive statistics were employed to compare the frequency of describing the five dimensions of the views of scientific models in the atomic unit to understand the emphasis of the views and to compare the frequency of the eight scientific models’ use to investigate the atomic model that was used most often in the textbooks. Descriptive statistics were further utilized to investigate the average levels of the five dimensions of the views of scientific models to examine whether the textbooks views were close to the scientific view. The average level of the five dimensions of the eight atomic models were also compared to examine whether the views of the eight atomic models were close to the scientific views. The results revealed the following three major findings from the atomic unit. (1) Among the five dimensions of the views of scientific models, the most portrayed dimension was the 'purpose of models,' and the least portrayed dimension was 'multiple models.' The most diverse view was the 'purpose of models,' and the most sophisticated scientific view was the 'nature of models.' The least sophisticated scientific view was 'multiple models.' (2) Among the eight atomic models, the most mentioned model was the atomic nucleus model, and the least mentioned model was the three states of matter. (3) Among the correlations between the five dimensions, the dimension of 'testing models' was highly related to the dimension of 'changing models.' In short, this study examined the views of scientific models based on the atomic units of physics textbooks to identify the emphasized and disregarded views in the textbooks. The findings suggest how future textbooks and curriculum can provide a thorough view of scientific models to enhance students' model-based learning. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=atomic%20models" title="atomic models">atomic models</a>, <a href="https://publications.waset.org/abstracts/search?q=textbooks" title=" textbooks"> textbooks</a>, <a href="https://publications.waset.org/abstracts/search?q=science%20education" title=" science education"> science education</a>, <a href="https://publications.waset.org/abstracts/search?q=scientific%20model" title=" scientific model"> scientific model</a> </p> <a href="https://publications.waset.org/abstracts/76561/analysis-of-atomic-models-in-high-school-physics-textbooks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/76561.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">158</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7750</span> Mobile Games Applications Android-Based Physics Education to Improve Student Motivation and Interest in Learning Physics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rizky%20Dwi%20A">Rizky Dwi A</a>, <a href="https://publications.waset.org/abstracts/search?q=Mikha%20Herlina%20Pi"> Mikha Herlina Pi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Physics lessons for high school students, especially in Indonesia is less desirable because many people believe that physics is very difficult, especially the development of increasingly sophisticated era make online gaming more attractive many people especially school children with a variety of increasingly sophisticated gadgets. Therefore, if those two things combined to attract students in physics, the physics-based educational game android can motivate students' interest and understanding of the physics because while playing, they can also learn physics. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=education" title="education">education</a>, <a href="https://publications.waset.org/abstracts/search?q=game%20physics" title=" game physics"> game physics</a>, <a href="https://publications.waset.org/abstracts/search?q=interest" title=" interest"> interest</a>, <a href="https://publications.waset.org/abstracts/search?q=student%27s%20motivation" title=" student's motivation"> student's motivation</a> </p> <a href="https://publications.waset.org/abstracts/39431/mobile-games-applications-android-based-physics-education-to-improve-student-motivation-and-interest-in-learning-physics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39431.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">281</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7749</span> Estimation Atmospheric parameters for Weather Study and Forecast over Equatorial Regions Using Ground-Based Global Position System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Asmamaw%20Yehun">Asmamaw Yehun</a>, <a href="https://publications.waset.org/abstracts/search?q=Tsegaye%20Kassa"> Tsegaye Kassa</a>, <a href="https://publications.waset.org/abstracts/search?q=Addisu%20Hunegnaw"> Addisu Hunegnaw</a>, <a href="https://publications.waset.org/abstracts/search?q=Martin%20Vermeer"> Martin Vermeer</a> </p> <p class="card-text"><strong>Abstract:</strong></p> There are various models to estimate the neutral atmospheric parameter values, such as in-suite and reanalysis datasets from numerical models. Accurate estimated values of the atmospheric parameters are useful for weather forecasting and, climate modeling and monitoring of climate change. Recently, Global Navigation Satellite System (GNSS) measurements have been applied for atmospheric sounding due to its robust data quality and wide horizontal and vertical coverage. The Global Positioning System (GPS) solutions that includes tropospheric parameters constitute a reliable set of data to be assimilated into climate models. The objective of this paper is, to estimate the neutral atmospheric parameters such as Wet Zenith Delay (WZD), Precipitable Water Vapour (PWV) and Total Zenith Delay (TZD) using six selected GPS stations in the equatorial regions, more precisely, the Ethiopian GPS stations from 2012 to 2015 observational data. Based on historic estimated GPS-derived values of PWV, we forecasted the PWV from 2015 to 2030. During data processing and analysis, we applied GAMIT-GLOBK software packages to estimate the atmospheric parameters. In the result, we found that the annual averaged minimum values of PWV are 9.72 mm for IISC and maximum 50.37 mm for BJCO stations. The annual averaged minimum values of WZD are 6 cm for IISC and maximum 31 cm for BDMT stations. In the long series of observations (from 2012 to 2015), we also found that there is a trend and cyclic patterns of WZD, PWV and TZD for all stations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=atmosphere" title="atmosphere">atmosphere</a>, <a href="https://publications.waset.org/abstracts/search?q=GNSS" title=" GNSS"> GNSS</a>, <a href="https://publications.waset.org/abstracts/search?q=neutral%20atmosphere" title=" neutral atmosphere"> neutral atmosphere</a>, <a href="https://publications.waset.org/abstracts/search?q=precipitable%20water%20vapour" title=" precipitable water vapour"> precipitable water vapour</a> </p> <a href="https://publications.waset.org/abstracts/176074/estimation-atmospheric-parameters-for-weather-study-and-forecast-over-equatorial-regions-using-ground-based-global-position-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/176074.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">61</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7748</span> Virtual Practical Work as Formation of Physics Concept for Student</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sepdiana%20W.%20Rahmawati">Sepdiana W. Rahmawati</a>, <a href="https://publications.waset.org/abstracts/search?q=Santi%20A.%20P.%20Anggraini"> Santi A. P. Anggraini</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The world of education has made progress with the various new technologies with help of computer. No exception physics education, especially virtual physics practical work. By doing practical work, memory of physics concept will be more advantageous for student and they will understand the essence of actual physics, not only spiked formula. With help of computers, created a variety of applications that can be used by students to perform virtual practical work and students will start thinking systematically to be able find its own concepts and understand the application of physics. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=essence%20of%20physics" title="essence of physics">essence of physics</a>, <a href="https://publications.waset.org/abstracts/search?q=formation%20concept" title=" formation concept"> formation concept</a>, <a href="https://publications.waset.org/abstracts/search?q=physics%20concept" title=" physics concept"> physics concept</a>, <a href="https://publications.waset.org/abstracts/search?q=virtual%20practical%20work" title=" virtual practical work"> virtual practical work</a> </p> <a href="https://publications.waset.org/abstracts/39435/virtual-practical-work-as-formation-of-physics-concept-for-student" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39435.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">406</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7747</span> Neuronal Networks for the Study of the Effects of Cosmic Rays on Climate Variations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jossitt%20Williams%20Vargas%20Cruz">Jossitt Williams Vargas Cruz</a>, <a href="https://publications.waset.org/abstracts/search?q=Aura%20Jazm%C3%ADn%20P%C3%A9rez%20R%C3%ADos"> Aura Jazmín Pérez Ríos</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The variations of solar dynamics have become a relevant topic of study due to the effects of climate changes generated on the earth. One of the most disconcerting aspects is the variability that the sun has on the climate is the role played by sunspots (extra-atmospheric variable) in the modulation of the Cosmic Rays CR (extra-atmospheric variable). CRs influence the earth's climate by affecting cloud formation (atmospheric variable), and solar cycle influence is associated with the presence of solar storms, and the magnetic activity is greater, resulting in less CR entering the earth's atmosphere. The different methods of climate prediction in Colombia do not take into account the extra-atmospheric variables. Therefore, correlations between atmospheric and extra-atmospheric variables were studied in order to implement a Python code based on neural networks to make the prediction of the extra-atmospheric variable with the highest correlation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=correlations" title="correlations">correlations</a>, <a href="https://publications.waset.org/abstracts/search?q=cosmic%20rays" title=" cosmic rays"> cosmic rays</a>, <a href="https://publications.waset.org/abstracts/search?q=sun" title=" sun"> sun</a>, <a href="https://publications.waset.org/abstracts/search?q=sunspots%20and%20variations." title=" sunspots and variations."> sunspots and variations.</a> </p> <a href="https://publications.waset.org/abstracts/163231/neuronal-networks-for-the-study-of-the-effects-of-cosmic-rays-on-climate-variations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163231.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">74</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7746</span> Physics’s Practical Based on Android as a Motivator in Learning Physics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yuni%20Rochmawati">Yuni Rochmawati</a>, <a href="https://publications.waset.org/abstracts/search?q=Luluk%20Il%20Mukarromah"> Luluk Il Mukarromah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Android is a mobile operating system (OS) based on the linux kerrnel and currently developed by google. With a user interface based on direct manipulation, Android is designed primarily for touchscreen mobile deviced such as smartphone and tablet computer, with specialized user interface for television (Android TV), cars (Android Auto), and wrist watches (Android Wear). Now, almost all peoples using smartphone. Smartphone seems to be a must-have object, because smartphone has many benefits. In addition, of course smartphone have many benefits for education, like resume of lesson that form of e-book. However, this article is not about resume of lesson. This article is about practical based on android, exactly for physics. Therefore, we will explain our idea about physics’s practical based on android and for output, we wish many students will be like to studying physics and always remember about physics’s phenomenon by physics’s practical based on android. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=android" title="android">android</a>, <a href="https://publications.waset.org/abstracts/search?q=smartphone" title=" smartphone"> smartphone</a>, <a href="https://publications.waset.org/abstracts/search?q=physics" title=" physics"> physics</a>, <a href="https://publications.waset.org/abstracts/search?q=practical" title=" practical"> practical</a> </p> <a href="https://publications.waset.org/abstracts/39584/physicss-practical-based-on-android-as-a-motivator-in-learning-physics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39584.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">242</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7745</span> Berry Phase and Quantum Skyrmions: A Loop Tour in Physics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sinuh%C3%A9%20Perea%20Puente">Sinuhé Perea Puente</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In several physics systems the whole can be obtained as an exact copy of each of its parts, which facilitates the study of a complex system by looking carefully at its elements, separately. Reducionism offers simplified models which makes the problems easier, but “there’s plenty of room...at the mesoscopic scale”. Here we present a tour for two of its representants: Berry phase and skyrmions, studying some of its basic definitions and properties, and two cases in which both arise together, to finish constraining the scale for our mesoscopic system in the quest of quantum skyrmions, discovering which properties are conserved and which others may be destroyed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=condensed%20mattter" title="condensed mattter">condensed mattter</a>, <a href="https://publications.waset.org/abstracts/search?q=quantum%20physics" title=" quantum physics"> quantum physics</a>, <a href="https://publications.waset.org/abstracts/search?q=skyrmions" title=" skyrmions"> skyrmions</a>, <a href="https://publications.waset.org/abstracts/search?q=topological%20defects" title=" topological defects"> topological defects</a> </p> <a href="https://publications.waset.org/abstracts/148910/berry-phase-and-quantum-skyrmions-a-loop-tour-in-physics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148910.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">145</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7744</span> Atmospheric Plasma Treatment to Improve Water and Oil Repellent Finishing for PET and PET/Spandex Fabrics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mehtap%20%C3%87al%C4%B1%C5%9Fkan">Mehtap Çalışkan</a>, <a href="https://publications.waset.org/abstracts/search?q=Nil%C3%BCfer%20Y%C4%B1ld%C4%B1z%20Varan"> Nilüfer Yıldız Varan</a>, <a href="https://publications.waset.org/abstracts/search?q=Volkan%20Kaplan"> Volkan Kaplan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, the effects of an atmospheric plasma treatment on the durability of water and oil repellent finishes of PET and PET/Spandex fabrics were tested. Fabrics were treated with a low-frequency atmospheric pressure glow discharge. After plasma treatments, the water and oil repellent finishes were applied using pad-dry-cure method. It was observed that plasma treatments improved the durability finish for all fabrics. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=atmospheric%20plasma" title="atmospheric plasma">atmospheric plasma</a>, <a href="https://publications.waset.org/abstracts/search?q=durable%20coating" title=" durable coating"> durable coating</a>, <a href="https://publications.waset.org/abstracts/search?q=oil%20repellency" title=" oil repellency"> oil repellency</a>, <a href="https://publications.waset.org/abstracts/search?q=PET%2Fspandex%20fabrics" title=" PET/spandex fabrics"> PET/spandex fabrics</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20repellency" title=" water repellency"> water repellency</a> </p> <a href="https://publications.waset.org/abstracts/68560/atmospheric-plasma-treatment-to-improve-water-and-oil-repellent-finishing-for-pet-and-petspandex-fabrics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/68560.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">412</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7743</span> AI/ML Atmospheric Parameters Retrieval Using the “Atmospheric Retrievals conditional Generative Adversarial Network (ARcGAN)”</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Thomas%20Monahan">Thomas Monahan</a>, <a href="https://publications.waset.org/abstracts/search?q=Nicolas%20Gorius"> Nicolas Gorius</a>, <a href="https://publications.waset.org/abstracts/search?q=Thanh%20Nguyen"> Thanh Nguyen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Exoplanet atmospheric parameters retrieval is a complex, computationally intensive, inverse modeling problem in which an exoplanet’s atmospheric composition is extracted from an observed spectrum. Traditional Bayesian sampling methods require extensive time and computation, involving algorithms that compare large numbers of known atmospheric models to the input spectral data. Runtimes are directly proportional to the number of parameters under consideration. These increased power and runtime requirements are difficult to accommodate in space missions where model size, speed, and power consumption are of particular importance. The use of traditional Bayesian sampling methods, therefore, compromise model complexity or sampling accuracy. The Atmospheric Retrievals conditional Generative Adversarial Network (ARcGAN) is a deep convolutional generative adversarial network that improves on the previous model’s speed and accuracy. We demonstrate the efficacy of artificial intelligence to quickly and reliably predict atmospheric parameters and present it as a viable alternative to slow and computationally heavy Bayesian methods. In addition to its broad applicability across instruments and planetary types, ARcGAN has been designed to function on low power application-specific integrated circuits. The application of edge computing to atmospheric retrievals allows for real or near-real-time quantification of atmospheric constituents at the instrument level. Additionally, edge computing provides both high-performance and power-efficient computing for AI applications, both of which are critical for space missions. With the edge computing chip implementation, ArcGAN serves as a strong basis for the development of a similar machine-learning algorithm to reduce the downlinked data volume from the Compact Ultraviolet to Visible Imaging Spectrometer (CUVIS) onboard the DAVINCI mission to Venus. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title="deep learning">deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=generative%20adversarial%20network" title=" generative adversarial network"> generative adversarial network</a>, <a href="https://publications.waset.org/abstracts/search?q=edge%20computing" title=" edge computing"> edge computing</a>, <a href="https://publications.waset.org/abstracts/search?q=atmospheric%20parameters%20retrieval" title=" atmospheric parameters retrieval"> atmospheric parameters retrieval</a> </p> <a href="https://publications.waset.org/abstracts/143382/aiml-atmospheric-parameters-retrieval-using-the-atmospheric-retrievals-conditional-generative-adversarial-network-arcgan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/143382.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">170</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7742</span> Application of Web Aided Education on Laboratory of the Physics Course</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nigmet%20Koklu">Nigmet Koklu</a>, <a href="https://publications.waset.org/abstracts/search?q=Dundar%20Yener"> Dundar Yener</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recently, distance education that make use of web technology is used widely all around the world to overcome geographical and time based problems in education. Graphics, animation and other auxiliary visual sources help student to understand the subjects easily. Especially some theoretical courses that are quite difficult to understand such as physics and chemistry require visual material for students to understand topics clearly. In this study, physics applications for laboratory of physics course were developed. All facilities of web-based educational technology were used for students in laboratory studies to avoid making mistakes and to learn better physics subjects. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=physics%20education" title="physics education">physics education</a>, <a href="https://publications.waset.org/abstracts/search?q=laboratory" title=" laboratory"> laboratory</a>, <a href="https://publications.waset.org/abstracts/search?q=web-based%20education" title=" web-based education"> web-based education</a>, <a href="https://publications.waset.org/abstracts/search?q=distance%20education" title=" distance education"> distance education</a> </p> <a href="https://publications.waset.org/abstracts/14604/application-of-web-aided-education-on-laboratory-of-the-physics-course" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14604.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">515</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7741</span> A Review of Gas Hydrate Rock Physics Models</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hemin%20Yuan">Hemin Yuan</a>, <a href="https://publications.waset.org/abstracts/search?q=Yun%20Wang"> Yun Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiangchun%20Wang"> Xiangchun Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Gas hydrate is drawing attention due to the fact that it has an enormous amount all over the world, which is almost twice the conventional hydrocarbon reserves, making it a potential alternative source of energy. It is widely distributed in permafrost and continental ocean shelves, and many countries have launched national programs for investigating the gas hydrate. Gas hydrate is mainly explored through seismic methods, which include bottom simulating reflectors (BSR), amplitude blanking, and polarity reverse. These seismic methods are effective at finding the gas hydrate formations but usually contain large uncertainties when applying to invert the micro-scale petrophysical properties of the formations due to lack of constraints. Rock physics modeling links the micro-scale structures of the rocks to the macro-scale elastic properties and can work as effective constraints for the seismic methods. A number of rock physics models have been proposed for gas hydrate modeling, which addresses different mechanisms and applications. However, these models are generally not well classified, and it is confusing to determine the appropriate model for a specific study. Moreover, since the modeling usually involves multiple models and steps, it is difficult to determine the source of uncertainties. To solve these problems, we summarize the developed models/methods and make four classifications of the models according to the hydrate micro-scale morphology in sediments, the purpose of reservoir characterization, the stage of gas hydrate generation, and the lithology type of hosting sediments. Some sub-categories may overlap each other, but they have different priorities. Besides, we also analyze the priorities of different models, bring up the shortcomings, and explain the appropriate application scenarios. Moreover, by comparing the models, we summarize a general workflow of the modeling procedure, which includes rock matrix forming, dry rock frame generating, pore fluids mixing, and final fluid substitution in the rock frame. These procedures have been widely used in various gas hydrate modeling and have been confirmed to be effective. We also analyze the potential sources of uncertainties in each modeling step, which enables us to clearly recognize the potential uncertainties in the modeling. In the end, we explicate the general problems of the current models, including the influences of pressure and temperature, pore geometry, hydrate morphology, and rock structure change during gas hydrate dissociation and re-generation. We also point out that attenuation is also severely affected by gas hydrate in sediments and may work as an indicator to map gas hydrate concentration. Our work classifies rock physics models of gas hydrate into different categories, generalizes the modeling workflow, analyzes the modeling uncertainties and potential problems, which can facilitate the rock physics characterization of gas hydrate bearding sediments and provide hints for future studies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gas%20hydrate" title="gas hydrate">gas hydrate</a>, <a href="https://publications.waset.org/abstracts/search?q=rock%20physics%20model" title=" rock physics model"> rock physics model</a>, <a href="https://publications.waset.org/abstracts/search?q=modeling%20classification" title=" modeling classification"> modeling classification</a>, <a href="https://publications.waset.org/abstracts/search?q=hydrate%20morphology" title=" hydrate morphology"> hydrate morphology</a> </p> <a href="https://publications.waset.org/abstracts/134684/a-review-of-gas-hydrate-rock-physics-models" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/134684.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">158</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7740</span> Learning Materials of Atmospheric Pressure Plasma Process: Turning Hydrophilic Surface to Hydrophobic</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=C.W.%20Kan">C.W. Kan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper investigates the use of atmospheric pressure plasma for improving the surface hydrophobicity of polyurethane synthetic leather with tetramethylsilane (TMS). The atmospheric pressure plasma treatment with TMS is a single-step process to enhance the hydrophobicity of polyurethane synthetic leather. The hydrophobicity of the treated surface was examined by contact angle measurement. The physical and chemical surface changes were evaluated by scanning electron microscopy (SEM) and infrared spectroscopy (FTIR). The purpose of this paper is to provide learning materials for understanding how to use atmospheric pressure plasma in the textile finishing process to transform a hydrophilic surface to hydrophobic. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Learning%20materials" title="Learning materials">Learning materials</a>, <a href="https://publications.waset.org/abstracts/search?q=atmospheric%20pressure%20plasma%20treatment" title=" atmospheric pressure plasma treatment"> atmospheric pressure plasma treatment</a>, <a href="https://publications.waset.org/abstracts/search?q=hydrophobic" title=" hydrophobic"> hydrophobic</a>, <a href="https://publications.waset.org/abstracts/search?q=hydrophilic" title=" hydrophilic"> hydrophilic</a>, <a href="https://publications.waset.org/abstracts/search?q=surface" title=" surface"> surface</a> </p> <a href="https://publications.waset.org/abstracts/49534/learning-materials-of-atmospheric-pressure-plasma-process-turning-hydrophilic-surface-to-hydrophobic" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/49534.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">353</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7739</span> Atmospheric Circulation Drivers Of Nationally-Aggregated Wind Energy Production Over Greece</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kostas%20Philippopoulos">Kostas Philippopoulos</a>, <a href="https://publications.waset.org/abstracts/search?q=Chris%20G.%20Tzanis"> Chris G. Tzanis</a>, <a href="https://publications.waset.org/abstracts/search?q=Despina%20Deligiorgi"> Despina Deligiorgi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Climate change adaptation requires the exploitation of renewable energy sources such as wind. However, climate variability can affect the regional wind energy potential and consequently the available wind power production. The goal of the research project is to examine the impact of atmospheric circulation on wind energy production over Greece. In the context of synoptic climatology, the proposed novel methodology employs Self-Organizing Maps for grouping and classifying the atmospheric circulation and nationally-aggregated capacity factor time series for a 30-year period. The results indicate the critical effect of atmospheric circulation on the national aggregated wind energy production values and therefore address the issue of optimum distribution of wind farms for a specific region. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wind%20energy" title="wind energy">wind energy</a>, <a href="https://publications.waset.org/abstracts/search?q=atmospheric%20circulation" title=" atmospheric circulation"> atmospheric circulation</a>, <a href="https://publications.waset.org/abstracts/search?q=capacity%20factor" title=" capacity factor"> capacity factor</a>, <a href="https://publications.waset.org/abstracts/search?q=self-organizing%20maps" title=" self-organizing maps"> self-organizing maps</a> </p> <a href="https://publications.waset.org/abstracts/146188/atmospheric-circulation-drivers-of-nationally-aggregated-wind-energy-production-over-greece" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/146188.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">162</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7738</span> De Broglie Wavelength Defined by the Rest Energy E0 and Its Velocity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20Orozovi%C4%87">K. Orozović</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Balon"> B. Balon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we take a different approach to de Broglie wavelength, as we relate it to relativistic physics. The quantum energy of the photon radiated by a body with de Broglie wavelength, as it moves with velocity v, can be defined within relativistic physics by rest energy E₀. In this way, we can show the connection between the quantum of radiation energy of the body and the rest of energy E₀ and thus combine what has been incompatible so far, namely relativistic and quantum physics. So, here we discuss the unification of relativistic and quantum physics by introducing the factor k that is analog to the Lorentz factor in Einstein's theory of relativity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=de%20Brogli%20wavelength" title="de Brogli wavelength">de Brogli wavelength</a>, <a href="https://publications.waset.org/abstracts/search?q=relativistic%20physics" title=" relativistic physics"> relativistic physics</a>, <a href="https://publications.waset.org/abstracts/search?q=rest%20energy" title=" rest energy"> rest energy</a>, <a href="https://publications.waset.org/abstracts/search?q=quantum%20physics" title=" quantum physics"> quantum physics</a> </p> <a href="https://publications.waset.org/abstracts/135170/de-broglie-wavelength-defined-by-the-rest-energy-e0-and-its-velocity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/135170.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">156</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7737</span> Modeling of Diurnal Pattern of Air Temperature in a Tropical Environment: Ile-Ife and Ibadan, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rufus%20Temidayo%20Akinnubi">Rufus Temidayo Akinnubi</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20O.%20Adeniyi"> M. O. Adeniyi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Existing diurnal air temperature models simulate night time air temperature over Nigeria with high biases. An improved parameterization is presented for modeling the diurnal pattern of air temperature (Ta) which is applicable in the calculation of turbulent heat fluxes in Global climate models, based on Nigeria Micrometeorological Experimental site (NIMEX) surface layer observations. Five diurnal Ta models for estimating hourly Ta from daily maximum, daily minimum, and daily mean air temperature were validated using root-mean-square error (RMSE), Mean Error Bias (MBE) and scatter graphs. The original Fourier series model showed better performance for unstable air temperature parameterizations while the stable Ta was strongly overestimated with a large error. The model was improved with the inclusion of the atmospheric cooling rate that accounts for the temperature inversion that occurs during the nocturnal boundary layer condition. The MBE and RMSE estimated by the modified Fourier series model reduced by 4.45 oC and 3.12 oC during the transitional period from dry to wet stable atmospheric conditions. The modified Fourier series model gave good estimation of the diurnal weather patterns of Ta when compared with other existing models for a tropical environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=air%20temperature" title="air temperature">air temperature</a>, <a href="https://publications.waset.org/abstracts/search?q=mean%20bias%20error" title=" mean bias error"> mean bias error</a>, <a href="https://publications.waset.org/abstracts/search?q=Fourier%20series%20analysis" title=" Fourier series analysis"> Fourier series analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=surface%20energy%20balance" title=" surface energy balance"> surface energy balance</a>, <a href="https://publications.waset.org/abstracts/search?q=" title=" "> </a> </p> <a href="https://publications.waset.org/abstracts/75489/modeling-of-diurnal-pattern-of-air-temperature-in-a-tropical-environment-ile-ife-and-ibadan-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75489.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">230</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7736</span> Physical Physics: Enhancing the Learning Experience for Undergraduate Game Development Students</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Y.%20Kavanagh">Y. Kavanagh</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20O%27Hara"> N. O'Hara</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Palmer"> R. Palmer</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Lowe"> P. Lowe</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Rafferty"> D. Rafferty</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Physical Physics is a physics education methodology for games programfmes that integrates physical activity with movement tracking and modelling. It significantly enhances the learning experience and it is effective in illustrating how physics is core in games design and programming, while allowing students to be active participants and take ownership of the learning process. It has been successfully piloted with undergraduate students studying Games Development. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=activity" title="activity">activity</a>, <a href="https://publications.waset.org/abstracts/search?q=enhanced%20learning" title=" enhanced learning"> enhanced learning</a>, <a href="https://publications.waset.org/abstracts/search?q=game%20development" title=" game development"> game development</a>, <a href="https://publications.waset.org/abstracts/search?q=physics" title=" physics"> physics</a> </p> <a href="https://publications.waset.org/abstracts/40745/physical-physics-enhancing-the-learning-experience-for-undergraduate-game-development-students" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40745.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">289</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7735</span> The Physics of Cold Spray Technology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ionel%20Botef">Ionel Botef</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Studies show that, for qualitative coatings, the knowledge of cold spray technology must focus on a variety of interdisciplinary fields and a framework for problem solving. The integrated disciplines include, but are not limited to, engineering, material sciences, and physics. Due to its importance, the purpose of this paper is to summarize the state of the art of this technology alongside its theoretical and experimental studies, and explore the role and impact of physics upon cold spraying technology. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=surface%20engineering" title="surface engineering">surface engineering</a>, <a href="https://publications.waset.org/abstracts/search?q=cold%20spray" title=" cold spray"> cold spray</a>, <a href="https://publications.waset.org/abstracts/search?q=physics" title=" physics"> physics</a>, <a href="https://publications.waset.org/abstracts/search?q=modelling" title=" modelling"> modelling</a> </p> <a href="https://publications.waset.org/abstracts/24726/the-physics-of-cold-spray-technology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/24726.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">531</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7734</span> Machine Learning Analysis of Student Success in Introductory Calculus Based Physics I Course</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chandra%20Prayaga">Chandra Prayaga</a>, <a href="https://publications.waset.org/abstracts/search?q=Aaron%20Wade"> Aaron Wade</a>, <a href="https://publications.waset.org/abstracts/search?q=Lakshmi%20Prayaga"> Lakshmi Prayaga</a>, <a href="https://publications.waset.org/abstracts/search?q=Gopi%20Shankar%20Mallu"> Gopi Shankar Mallu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents the use of machine learning algorithms to predict the success of students in an introductory physics course. Data having 140 rows pertaining to the performance of two batches of students was used. The lack of sufficient data to train robust machine learning models was compensated for by generating synthetic data similar to the real data. CTGAN and CTGAN with Gaussian Copula (Gaussian) were used to generate synthetic data, with the real data as input. To check the similarity between the real data and each synthetic dataset, pair plots were made. The synthetic data was used to train machine learning models using the PyCaret package. For the CTGAN data, the Ada Boost Classifier (ADA) was found to be the ML model with the best fit, whereas the CTGAN with Gaussian Copula yielded Logistic Regression (LR) as the best model. Both models were then tested for accuracy with the real data. ROC-AUC analysis was performed for all the ten classes of the target variable (Grades A, A-, B+, B, B-, C+, C, C-, D, F). The ADA model with CTGAN data showed a mean AUC score of 0.4377, but the LR model with the Gaussian data showed a mean AUC score of 0.6149. ROC-AUC plots were obtained for each Grade value separately. The LR model with Gaussian data showed consistently better AUC scores compared to the ADA model with CTGAN data, except in two cases of the Grade value, C- and A-. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title="machine learning">machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=student%20success" title=" student success"> student success</a>, <a href="https://publications.waset.org/abstracts/search?q=physics%20course" title=" physics course"> physics course</a>, <a href="https://publications.waset.org/abstracts/search?q=grades" title=" grades"> grades</a>, <a href="https://publications.waset.org/abstracts/search?q=synthetic%20data" title=" synthetic data"> synthetic data</a>, <a href="https://publications.waset.org/abstracts/search?q=CTGAN" title=" CTGAN"> CTGAN</a>, <a href="https://publications.waset.org/abstracts/search?q=gaussian%20copula%20CTGAN" title=" gaussian copula CTGAN"> gaussian copula CTGAN</a> </p> <a href="https://publications.waset.org/abstracts/183001/machine-learning-analysis-of-student-success-in-introductory-calculus-based-physics-i-course" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/183001.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">44</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7733</span> Physics-Informed Machine Learning for Displacement Estimation in Solid Mechanics Problem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Feng%20Yang">Feng Yang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Machine learning (ML), especially deep learning (DL), has been extensively applied to many applications in recently years and gained great success in solving different problems, including scientific problems. However, conventional ML/DL methodologies are purely data-driven which have the limitations, such as need of ample amount of labelled training data, lack of consistency to physical principles, and lack of generalizability to new problems/domains. Recently, there is a growing consensus that ML models need to further take advantage of prior knowledge to deal with these limitations. Physics-informed machine learning, aiming at integration of physics/domain knowledge into ML, has been recognized as an emerging area of research, especially in the recent 2 to 3 years. In this work, physics-informed ML, specifically physics-informed neural network (NN), is employed and implemented to estimate the displacements at x, y, z directions in a solid mechanics problem that is controlled by equilibrium equations with boundary conditions. By incorporating the physics (i.e. the equilibrium equations) into the learning process of NN, it is showed that the NN can be trained very efficiently with a small set of labelled training data. Experiments with different settings of the NN model and the amount of labelled training data were conducted, and the results show that very high accuracy can be achieved in fulfilling the equilibrium equations as well as in predicting the displacements, e.g. in setting the overall displacement of 0.1, a root mean square error (RMSE) of 2.09 × 10−4 was achieved. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title="deep learning">deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20network" title=" neural network"> neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=physics-informed%20machine%20learning" title=" physics-informed machine learning"> physics-informed machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=solid%20mechanics" title=" solid mechanics"> solid mechanics</a> </p> <a href="https://publications.waset.org/abstracts/135653/physics-informed-machine-learning-for-displacement-estimation-in-solid-mechanics-problem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/135653.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">150</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7732</span> Systematic Review of Misconceptions: Tools for Diagnostics and Remediation Models for Misconceptions in Physics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Iqbal">Muhammad Iqbal</a>, <a href="https://publications.waset.org/abstracts/search?q=Edi%20Istiyono"> Edi Istiyono</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Misconceptions are one of the problems in physics learning where students' understanding is not in line with scientific theory. The aim of this research is to find diagnostic tools to identify misconceptions and how to remediate physics misconceptions. In this research, the articles that will be reviewed come from the Scopus database related to physics misconceptions from 2013-2023. The articles obtained from the Scopus database were then selected according to the Prisma model, so 29 articles were obtained that focused on discussing physics misconceptions, especially regarding diagnostic tools and remediation methods. Currently, the most widely used diagnostic tool is the four-tier test, which is able to measure students' misconceptions in depth by knowing whether students are guessing or not and from then on, there is also a trend toward five-tier diagnostic tests with additional sources of information obtained. So that the origin of students' misconceptions is known. There are several ways to remediate student misconceptions, namely 11 ways and one of the methods used is digital practicum so that abstract things can be visualized into real ones. This research is limited to knowing what tools are used to diagnose and remediate misconceptions, so it is not yet known how big the effect of remediation methods is on misconceptions. The researcher recommends that in the future further research can be carried out to find out the most appropriate remediation method for remediating student misconceptions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=misconception" title="misconception">misconception</a>, <a href="https://publications.waset.org/abstracts/search?q=remediation" title=" remediation"> remediation</a>, <a href="https://publications.waset.org/abstracts/search?q=systematic%20review" title=" systematic review"> systematic review</a>, <a href="https://publications.waset.org/abstracts/search?q=tools" title=" tools"> tools</a> </p> <a href="https://publications.waset.org/abstracts/185854/systematic-review-of-misconceptions-tools-for-diagnostics-and-remediation-models-for-misconceptions-in-physics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185854.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">36</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7731</span> Uncertainty in Near-Term Global Surface Warming Linked to Pacific Trade Wind Variability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Hadi%20Bordbar">M. Hadi Bordbar</a>, <a href="https://publications.waset.org/abstracts/search?q=Matthew%20England"> Matthew England</a>, <a href="https://publications.waset.org/abstracts/search?q=Alex%20Sen%20Gupta"> Alex Sen Gupta</a>, <a href="https://publications.waset.org/abstracts/search?q=Agus%20Santoso"> Agus Santoso</a>, <a href="https://publications.waset.org/abstracts/search?q=Andrea%20Taschetto"> Andrea Taschetto</a>, <a href="https://publications.waset.org/abstracts/search?q=Thomas%20Martin"> Thomas Martin</a>, <a href="https://publications.waset.org/abstracts/search?q=Wonsun%20Park"> Wonsun Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Mojib%20Latif"> Mojib Latif</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Climate models generally simulate long-term reductions in the Pacific Walker Circulation with increasing atmospheric greenhouse gases. However, over two recent decades (1992-2011) there was a strong intensification of the Pacific Trade Winds that is linked with a slowdown in global surface warming. Using large ensembles of multiple climate models forced by increasing atmospheric greenhouse gas concentrations and starting from different ocean and/or atmospheric initial conditions, we reveal very diverse 20-year trends in the tropical Pacific climate associated with a considerable uncertainty in the globally averaged surface air temperature (SAT) in each model ensemble. This result suggests low confidence in our ability to accurately predict SAT trends over 20-year timescale only from external forcing. We show, however, that the uncertainty can be reduced when the initial oceanic state is adequately known and well represented in the model. Our analyses suggest that internal variability in the Pacific trade winds can mask the anthropogenic signal over a 20-year time frame, and drive transitions between periods of accelerated global warming and temporary slowdown periods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=trade%20winds" title="trade winds">trade winds</a>, <a href="https://publications.waset.org/abstracts/search?q=walker%20circulation" title=" walker circulation"> walker circulation</a>, <a href="https://publications.waset.org/abstracts/search?q=hiatus%20in%20the%20global%20surface%20warming" title=" hiatus in the global surface warming"> hiatus in the global surface warming</a>, <a href="https://publications.waset.org/abstracts/search?q=internal%20climate%20variability" title=" internal climate variability"> internal climate variability</a> </p> <a href="https://publications.waset.org/abstracts/91567/uncertainty-in-near-term-global-surface-warming-linked-to-pacific-trade-wind-variability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91567.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">268</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7730</span> PM₁₀ and PM2.5 Concentrations in Bangkok over Last 10 Years: Implications for Air Quality and Health</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tin%20Thongthammachart">Tin Thongthammachart</a>, <a href="https://publications.waset.org/abstracts/search?q=Wanida%20Jinsart"> Wanida Jinsart</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Atmospheric particulate matter particles with a diameter less than 10 microns (PM₁₀) and less than 2.5 microns (PM₂.₅) have adverse health effect. The impact from PM was studied from both health and regulatory perspective. Ambient PM data was collected over ten years in Bangkok and vicinity areas of Thailand from 2007 to 2017. Statistical models were used to forecast PM concentrations from 2018 to 2020. Monitoring monthly data averaged concentration of PM₁₀ and PM₂.₅ were used as input to forecast the monthly average concentration of PM. The forecasting results were validated by root means square error (RMSE). The predicted results were used to determine hazard risk for the carcinogenic disease. The health risk values were interpolated with GIS with ordinary kriging technique to create hazard maps in Bangkok and vicinity area. GIS-based maps illustrated the variability of PM distribution and high-risk locations. These evaluated results could support national policy for the sake of human health. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=PM%E2%82%81%E2%82%80" title="PM₁₀">PM₁₀</a>, <a href="https://publications.waset.org/abstracts/search?q=PM%E2%82%82.%E2%82%85" title=" PM₂.₅"> PM₂.₅</a>, <a href="https://publications.waset.org/abstracts/search?q=statistical%20models" title=" statistical models"> statistical models</a>, <a href="https://publications.waset.org/abstracts/search?q=atmospheric%20particulate%20matter" title=" atmospheric particulate matter"> atmospheric particulate matter</a> </p> <a href="https://publications.waset.org/abstracts/90866/pm10-and-pm25-concentrations-in-bangkok-over-last-10-years-implications-for-air-quality-and-health" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/90866.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">159</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7729</span> A Bibliometric Analysis of Research on E-learning in Physics Education: Trends, Patterns, and Future Directions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Siti%20Nurjanah">Siti Nurjanah</a>, <a href="https://publications.waset.org/abstracts/search?q=Supahar"> Supahar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> E-learning has become an increasingly popular mode of instruction, particularly in the field of physics education, where it offers opportunities for interactive and engaging learning experiences. This research aims to analyze the trends of research that investigated e-learning in physics education. Data was extracted from Scopus's database using the keywords "physics" and "e-learning". Of the 380 articles obtained based on the search criteria, a trend analysis of the research was carried out with the help of RStudio using the biblioshiny package and VosViewer software. Analysis showed that publications on this topic have increased significantly from 2014 to 2021. The publication was dominated by researchers from the United States. The main journal that publishes articles on this topic is Proceedings Frontiers in Education Conference fie. The most widely cited articles generally focus on the effectiveness of Moodle for physics learning. Overall, this research provides an in-depth understanding of the trends and key findings of research related to e-learning in physics. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bibliometric%20analysis" title="bibliometric analysis">bibliometric analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=physics%20education" title=" physics education"> physics education</a>, <a href="https://publications.waset.org/abstracts/search?q=biblioshiny" title=" biblioshiny"> biblioshiny</a>, <a href="https://publications.waset.org/abstracts/search?q=E-learning" title=" E-learning"> E-learning</a> </p> <a href="https://publications.waset.org/abstracts/185853/a-bibliometric-analysis-of-research-on-e-learning-in-physics-education-trends-patterns-and-future-directions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185853.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">41</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7728</span> Evaluation of Turbulence Prediction over Washington, D.C.: Comparison of DCNet Observations and North American Mesoscale Model Outputs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nebila%20Lichiheb">Nebila Lichiheb</a>, <a href="https://publications.waset.org/abstracts/search?q=LaToya%20Myles"> LaToya Myles</a>, <a href="https://publications.waset.org/abstracts/search?q=William%20Pendergrass"> William Pendergrass</a>, <a href="https://publications.waset.org/abstracts/search?q=Bruce%20Hicks"> Bruce Hicks</a>, <a href="https://publications.waset.org/abstracts/search?q=Dawson%20Cagle"> Dawson Cagle</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Atmospheric transport of hazardous materials in urban areas is increasingly under investigation due to the potential impact on human health and the environment. In response to health and safety concerns, several dispersion models have been developed to analyze and predict the dispersion of hazardous contaminants. The models of interest usually rely on meteorological information obtained from the meteorological models of NOAA’s National Weather Service (NWS). However, due to the complexity of the urban environment, NWS forecasts provide an inadequate basis for dispersion computation in urban areas. A dense meteorological network in Washington, DC, called DCNet, has been operated by NOAA since 2003 to support the development of urban monitoring methodologies and provide the driving meteorological observations for atmospheric transport and dispersion models. This study focuses on the comparison of wind observations from the DCNet station on the U.S. Department of Commerce Herbert C. Hoover Building against the North American Mesoscale (NAM) model outputs for the period 2017-2019. The goal is to develop a simple methodology for modifying NAM outputs so that the dispersion requirements of the city and its urban area can be satisfied. This methodology will allow us to quantify the prediction errors of the NAM model and propose adjustments of key variables controlling dispersion model calculation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=meteorological%20data" title="meteorological data">meteorological data</a>, <a href="https://publications.waset.org/abstracts/search?q=Washington%20D.C." title=" Washington D.C."> Washington D.C.</a>, <a href="https://publications.waset.org/abstracts/search?q=DCNet%20data" title=" DCNet data"> DCNet data</a>, <a href="https://publications.waset.org/abstracts/search?q=NAM%20model" title=" NAM model"> NAM model</a> </p> <a href="https://publications.waset.org/abstracts/140950/evaluation-of-turbulence-prediction-over-washington-dc-comparison-of-dcnet-observations-and-north-american-mesoscale-model-outputs" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/140950.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">233</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7727</span> Grey Prediction of Atmospheric Pollutants in Shanghai Based on GM(1,1) Model Group</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Diqin%20Qi">Diqin Qi</a>, <a href="https://publications.waset.org/abstracts/search?q=Jiaming%20Li"> Jiaming Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Siman%20Li"> Siman Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Based on the use of the three-point smoothing method for selectively processing original data columns, this paper establishes a group of grey GM(1,1) models to predict the concentration ranges of four major air pollutants in Shanghai from 2023 to 2024. The results indicate that PM₁₀, SO₂, and NO₂ maintain the national Grade I standards, while the concentration of PM₂.₅ has decreased but still remains within the national Grade II standards. Combining the forecast results, recommendations are provided for the Shanghai municipal government's efforts in air pollution prevention and control. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=atmospheric%20pollutant%20prediction" title="atmospheric pollutant prediction">atmospheric pollutant prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=Grey%20GM%281" title=" Grey GM(1"> Grey GM(1</a>, <a href="https://publications.waset.org/abstracts/search?q=1%29" title=" 1)"> 1)</a>, <a href="https://publications.waset.org/abstracts/search?q=model%20group" title=" model group"> model group</a>, <a href="https://publications.waset.org/abstracts/search?q=three-point%20smoothing%20method" title=" three-point smoothing method"> three-point smoothing method</a> </p> <a href="https://publications.waset.org/abstracts/185942/grey-prediction-of-atmospheric-pollutants-in-shanghai-based-on-gm11-model-group" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185942.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">35</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7726</span> Major Mechanisms of Atmospheric Moisture Transport and Their Role in Precipitation Extreme Events in the Amazonia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Luis%20Gimeno">Luis Gimeno</a>, <a href="https://publications.waset.org/abstracts/search?q=Rosmeri%20da%20Rocha"> Rosmeri da Rocha</a>, <a href="https://publications.waset.org/abstracts/search?q=Raquel%20Nieto"> Raquel Nieto</a>, <a href="https://publications.waset.org/abstracts/search?q=Tercio%20Ambrizzi"> Tercio Ambrizzi</a>, <a href="https://publications.waset.org/abstracts/search?q=Alex%20Ramos"> Alex Ramos</a>, <a href="https://publications.waset.org/abstracts/search?q=Anita%20Drumond"> Anita Drumond</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The transport of moisture from oceanic sources to the continents represents the atmospheric branch of the water cycle, forming the connection between evaporation from the ocean and precipitation over the continents. In this regard two large scale dynamical/meteorological structures appear to play a key role, namely Low Level Jet (LLJ) systems and Atmospheric Rivers (ARs). The former are particularly important in tropical and subtropical regions; the latter is mostly confined to extratropical regions. A key question relates to the anomalies in the transport of moisture observed during natural hazards related to extremes of precipitation (i.e., drought or wet spells). In this study we will be focused on these two major atmospheric moisture transport mechanisms (LLJs and ARs) and its role in precipitation extreme events (droughts and wet spells) in the Amazonia paying particular attention to i) intensification (decreasing) of moisture transport by them and its role in wet spells (droughts), and ii) changes in their positions and occurrence with associated flooding and wet spells. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=droughts" title="droughts">droughts</a>, <a href="https://publications.waset.org/abstracts/search?q=wet%20spells" title=" wet spells"> wet spells</a>, <a href="https://publications.waset.org/abstracts/search?q=amazonia" title=" amazonia"> amazonia</a>, <a href="https://publications.waset.org/abstracts/search?q=LLJs" title=" LLJs"> LLJs</a>, <a href="https://publications.waset.org/abstracts/search?q=atmospheric%20rivers" title=" atmospheric rivers"> atmospheric rivers</a> </p> <a href="https://publications.waset.org/abstracts/38231/major-mechanisms-of-atmospheric-moisture-transport-and-their-role-in-precipitation-extreme-events-in-the-amazonia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/38231.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">302</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7725</span> Predicting Subsurface Abnormalities Growth Using Physics-Informed Neural Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mehrdad%20Shafiei%20Dizaji">Mehrdad Shafiei Dizaji</a>, <a href="https://publications.waset.org/abstracts/search?q=Hoda%20Azari"> Hoda Azari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The research explores the pioneering integration of Physics-Informed Neural Networks (PINNs) into the domain of Ground-Penetrating Radar (GPR) data prediction, akin to advancements in medical imaging for tracking tumor progression in the human body. This research presents a detailed development framework for a specialized PINN model proficient at interpreting and forecasting GPR data, much like how medical imaging models predict tumor behavior. By harnessing the synergy between deep learning algorithms and the physical laws governing subsurface structures—or, in medical terms, human tissues—the model effectively embeds the physics of electromagnetic wave propagation into its architecture. This ensures that predictions not only align with fundamental physical principles but also mirror the precision needed in medical diagnostics for detecting and monitoring tumors. The suggested deep learning structure comprises three components: a CNN, a spatial feature channel attention (SFCA) mechanism, and ConvLSTM, along with temporal feature frame attention (TFFA) modules. The attention mechanism computes channel attention and temporal attention weights using self-adaptation, thereby fine-tuning the visual and temporal feature responses to extract the most pertinent and significant visual and temporal features. By integrating physics directly into the neural network, our model has shown enhanced accuracy in forecasting GPR data. This improvement is vital for conducting effective assessments of bridge deck conditions and other evaluations related to civil infrastructure. The use of Physics-Informed Neural Networks (PINNs) has demonstrated the potential to transform the field of Non-Destructive Evaluation (NDE) by enhancing the precision of infrastructure deterioration predictions. Moreover, it offers a deeper insight into the fundamental mechanisms of deterioration, viewed through the prism of physics-based models. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=physics-informed%20neural%20networks" title="physics-informed neural networks">physics-informed neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=ground-penetrating%20radar%20%28GPR%29" title=" ground-penetrating radar (GPR)"> ground-penetrating radar (GPR)</a>, <a href="https://publications.waset.org/abstracts/search?q=NDE" title=" NDE"> NDE</a>, <a href="https://publications.waset.org/abstracts/search?q=ConvLSTM" title=" ConvLSTM"> ConvLSTM</a>, <a href="https://publications.waset.org/abstracts/search?q=physics" title=" physics"> physics</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20driven" title=" data driven"> data driven</a> </p> <a href="https://publications.waset.org/abstracts/188443/predicting-subsurface-abnormalities-growth-using-physics-informed-neural-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188443.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">40</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=atmospheric%20physics%20models&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=atmospheric%20physics%20models&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=atmospheric%20physics%20models&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=atmospheric%20physics%20models&page=5">5</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=atmospheric%20physics%20models&page=6">6</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=atmospheric%20physics%20models&page=7">7</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=atmospheric%20physics%20models&page=8">8</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=atmospheric%20physics%20models&page=9">9</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=atmospheric%20physics%20models&page=10">10</a></li> <li class="page-item disabled"><span class="page-link">...</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=atmospheric%20physics%20models&page=258">258</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=atmospheric%20physics%20models&page=259">259</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=atmospheric%20physics%20models&page=2" rel="next">&rsaquo;</a></li> </ul> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">© 2024 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); });*/ jQuery.get({ url: "https://publications.waset.org/xhr/user-menu", cache: false }).then(function(response){ jQuery('#mainNavMenu').append(response); }); }); </script> </body> </html>