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class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" alt="Ion Andronache" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/1960190/654631/17485915/s200_ion.andronache.jpg" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Ion Andronache</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://unibuc.academia.edu/">University of Bucharest</a>, <a class="u-tcGrayDarker" href="https://unibuc.academia.edu/Departments/Research_Centre_for_Integrated_Analysis_and_Territorial_Management_Faculty_of_Geography/Documents">Research Centre for Integrated Analysis and Territorial Management, Faculty of Geography</a>, <span class="u-tcGrayDarker">Faculty Member</span></div></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" data-click-track="profile-user-info-follow-button" data-follow-user-fname="Ion" data-follow-user-id="1960190" data-follow-user-source="profile_button" data-has-google="false"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">add</span>Follow</button><button class="ds2-5-button hidden profile-cta-button grow js-profile-unfollow-button" data-broccoli-component="user-info.unfollow-button" data-click-track="profile-user-info-unfollow-button" data-unfollow-user-id="1960190"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">done</span>Following</button></div></div><div class="user-stats-container"><a><div class="stat-container js-profile-followers"><p class="label">Followers</p><p class="data">58</p></div></a><a><div class="stat-container js-profile-followees" data-broccoli-component="user-info.followees-count" data-click-track="profile-expand-user-info-following"><p class="label">Following</p><p class="data">124</p></div></a><a><div class="stat-container js-profile-coauthors" data-broccoli-component="user-info.coauthors-count" data-click-track="profile-expand-user-info-coauthors"><p class="label">Co-authors</p><p class="data">6</p></div></a><a href="/IonAndronache/mentions"><div class="stat-container"><p class="label">Mentions</p><p class="data">1</p></div></a><span><div class="stat-container"><p class="label"><span class="js-profile-total-view-text">Public Views</span></p><p class="data"><span class="js-profile-view-count"></span></p></div></span></div><div class="user-bio-container"><div class="profile-bio fake-truncate js-profile-about" style="margin: 0px;">PhD in Geography - University of Bucharest, Faculty of Geography  - „Dynamics of  geographical environment in  Balta Brăilei”<br /><span class="u-fw700">Supervisors: </span>Prof. PhD Mihai Ielenicz<br /><span class="u-fw700">Phone: </span>0040757722170<br /><b>Address: </b>Research Centre for Integrated Analysis and Territorial Management, Faculty of Geography, University of Bucharest, 2-14 Regina Elisabeta Blvd., Bucharest, 030018, District 1, Bucharest, 010041, Romania<br /><div class="js-profile-less-about u-linkUnstyled u-tcGrayDarker u-textDecorationUnderline u-displayNone">less</div></div></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="1960190" href="https://www.academia.edu/Documents/in/Fractal_Analysis"><div id="js-react-on-rails-context" style="display:none" 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data-dom-id="Pill-react-component-00bbd7b8-6aee-4802-bc0c-19355747cf69"></div> <div id="Pill-react-component-00bbd7b8-6aee-4802-bc0c-19355747cf69"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="1960190" href="https://www.academia.edu/Documents/in/Dendritic_Morphology"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Dendritic Morphology"]}" data-trace="false" data-dom-id="Pill-react-component-f4b0d264-7c85-4fdf-b84c-5d7ea0aba0e8"></div> <div id="Pill-react-component-f4b0d264-7c85-4fdf-b84c-5d7ea0aba0e8"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="1960190" href="https://www.academia.edu/Documents/in/Fluvial_Geomorphology"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Fluvial Geomorphology"]}" data-trace="false" data-dom-id="Pill-react-component-ca017960-c594-4462-b262-2ec8e7b30f8c"></div> <div id="Pill-react-component-ca017960-c594-4462-b262-2ec8e7b30f8c"></div> </a></div></div><div class="external-links-container"><ul class="profile-links new-profile js-UserInfo-social"><li class="profile-profiles js-social-profiles-container"><i class="fa fa-spin fa-spinner"></i></li></ul></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Ion Andronache</h3></div><div class="js-work-strip profile--work_container" data-work-id="122978177"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122978177/The_Spatial_Temporal_Dimension_of_Oncological_Prevalence_and_Mortality_in_Romania"><img alt="Research paper thumbnail of The Spatial‐Temporal Dimension of Oncological Prevalence and Mortality in Romania" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122978177/The_Spatial_Temporal_Dimension_of_Oncological_Prevalence_and_Mortality_in_Romania">The Spatial‐Temporal Dimension of Oncological Prevalence and Mortality in Romania</a></div><div class="wp-workCard_item"><span>Geohealth</span><span>, Sep 30, 2023</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="122978177"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="122978177"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 122978177; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/122978174/A_New_Synthetic_Curcuminoid_Displays_Antitumor_Activities_in_Metastasized_Melanoma"><img alt="Research paper thumbnail of A New Synthetic Curcuminoid Displays Antitumor Activities in Metastasized Melanoma" class="work-thumbnail" src="https://attachments.academia-assets.com/117522195/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/122978174/A_New_Synthetic_Curcuminoid_Displays_Antitumor_Activities_in_Metastasized_Melanoma">A New Synthetic Curcuminoid Displays Antitumor Activities in Metastasized Melanoma</a></div><div class="wp-workCard_item"><span>Cells</span><span>, Nov 12, 2023</span></div><div class="wp-workCard_item wp-workCard--actions"><span 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href="https://www.academia.edu/110287654/NOVEL_ARCHAEOMETRICAL_AND_HISTORICAL_TRANSDISCIPLINARY_INVESTIGATION_OF_EARLY_19th_CENTURY_HELLENIC_MANUSCRIPT_REGARDING_INITIATION_TO_SECRET_PHILIKE_HETAIREIA"><img alt="Research paper thumbnail of NOVEL ARCHAEOMETRICAL AND HISTORICAL TRANSDISCIPLINARY INVESTIGATION OF EARLY 19th CENTURY HELLENIC MANUSCRIPT REGARDING INITIATION TO SECRET "PHILIKE HETAIREIA" class="work-thumbnail" src="https://attachments.academia-assets.com/108151451/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/110287654/NOVEL_ARCHAEOMETRICAL_AND_HISTORICAL_TRANSDISCIPLINARY_INVESTIGATION_OF_EARLY_19th_CENTURY_HELLENIC_MANUSCRIPT_REGARDING_INITIATION_TO_SECRET_PHILIKE_HETAIREIA">NOVEL ARCHAEOMETRICAL AND HISTORICAL TRANSDISCIPLINARY INVESTIGATION OF EARLY 19th CENTURY HELLENIC MANUSCRIPT REGARDING INITIATION TO SECRET "PHILIKE HETAIREIA</a></div><div class="wp-workCard_item"><span>Zenodo (CERN European Organization for Nuclear Research)</span><span>, Jan 25, 2023</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3ac4ea5226e15f4a8a5c8bbf97004472" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":108151451,"asset_id":110287654,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/108151451/download_file?st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="110287654"><a 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src="https://attachments.academia-assets.com/108151486/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/110287652/A_new_fractal_index_to_classify_forest_disturbance_and_anthropogenic_change">A new fractal index to classify forest disturbance and anthropogenic change</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ContextDeforestation remains one of the most pressing threats to biodiversity. Characterizing the...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ContextDeforestation remains one of the most pressing threats to biodiversity. Characterizing the resulting forest loss and fragmentation efficiently from remotely sensed data therefore has strong practical implications. Data are often separately analyzed for spatial fragmentation and disorder, but no existing metric simultaneously quantifies the shapes and arrangement of fragments. ObjectivesWe present a Fractal Fragmentation and Disorder Index (FFDI), which advances a previously developed fractal index by merging it with the Rényi information dimension. The FFDI is designed to work across spatial scales, and efficiently reports the fragmentation of images and spatial disorder of those fragments. MethodsWe validate the FFDI with four sets of synthetic Hierarchically Structured Random Map (HRM) multiscale images, characterized by increasing fragmentation and disorder but decreasing average size over multiple scales. We then apply the FFDI to the Global Land Analysis & Discovery Glob...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c005577f8cccd1e4480e062c33e55fab" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":108151486,"asset_id":110287652,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/108151486/download_file?st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="110287652"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="110287652"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 110287652; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=110287652]").text(description); $(".js-view-count[data-work-id=110287652]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 110287652; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='110287652']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 110287652, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c005577f8cccd1e4480e062c33e55fab" } } $('.js-work-strip[data-work-id=110287652]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":110287652,"title":"A new fractal index to classify forest disturbance and anthropogenic change","translated_title":"","metadata":{"abstract":"ContextDeforestation remains one of the most pressing threats to biodiversity. Characterizing the resulting forest loss and fragmentation efficiently from remotely sensed data therefore has strong practical implications. Data are often separately analyzed for spatial fragmentation and disorder, but no existing metric simultaneously quantifies the shapes and arrangement of fragments. ObjectivesWe present a Fractal Fragmentation and Disorder Index (FFDI), which advances a previously developed fractal index by merging it with the Rényi information dimension. The FFDI is designed to work across spatial scales, and efficiently reports the fragmentation of images and spatial disorder of those fragments. MethodsWe validate the FFDI with four sets of synthetic Hierarchically Structured Random Map (HRM) multiscale images, characterized by increasing fragmentation and disorder but decreasing average size over multiple scales. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="100468460"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/100468460/A_new_fractal_index_to_classify_forest_fragmentation_and_disorder"><img alt="Research paper thumbnail of A new fractal index to classify forest fragmentation and disorder" class="work-thumbnail" src="https://attachments.academia-assets.com/101284545/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/100468460/A_new_fractal_index_to_classify_forest_fragmentation_and_disorder">A new fractal index to classify forest fragmentation and disorder</a></div><div class="wp-workCard_item"><span>Landscape Ecology</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Context Forest loss and fragmentation pose extreme threats to biodiversity. Their efficient chara...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Context Forest loss and fragmentation pose extreme threats to biodiversity. Their efficient characterization from remotely sensed data therefore has strong practical implications. Data are often separately analyzed for spatial fragmentation and disorder, but no existing metric simultaneously quantifies both the shape and arrangement of fragments. Objectives We present a fractal fragmentation and disorder index (FFDI), which advances a previously developed fractal index by merging it with the Rényi information dimension. The FFDI is designed to work across spatial scales, and to efficiently report both the fragmentation of images and their spatial disorder. Methods We validate the FFDI with 12,600 synthetic hierarchically structured random map (HRM) multiscale images, as well as several other categories of fractal and non-fractal test images (4880 images). We then apply the FFDI to satellite imagery of forest cover for 10 distinct regions of the Romanian Carpathian Mountains from 200...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5bafcfe3faed5bf18b27a9568eee909c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":101284545,"asset_id":100468460,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/101284545/download_file?st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="100468460"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="100468460"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 100468460; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=100468460]").text(description); $(".js-view-count[data-work-id=100468460]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 100468460; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='100468460']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 100468460, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5bafcfe3faed5bf18b27a9568eee909c" } } $('.js-work-strip[data-work-id=100468460]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":100468460,"title":"A new fractal index to classify forest fragmentation and disorder","translated_title":"","metadata":{"abstract":"Context Forest loss and fragmentation pose extreme threats to biodiversity. 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We then apply the FFDI to satellite imagery of forest cover for 10 distinct regions of the Romanian Carpathian Mountains from 200...","publisher":"Springer Science and Business Media LLC","publication_name":"Landscape Ecology"},"translated_abstract":"Context Forest loss and fragmentation pose extreme threats to biodiversity. Their efficient characterization from remotely sensed data therefore has strong practical implications. Data are often separately analyzed for spatial fragmentation and disorder, but no existing metric simultaneously quantifies both the shape and arrangement of fragments. Objectives We present a fractal fragmentation and disorder index (FFDI), which advances a previously developed fractal index by merging it with the Rényi information dimension. The FFDI is designed to work across spatial scales, and to efficiently report both the fragmentation of images and their spatial disorder. 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We then apply the FFDI to satellite imagery of forest cover for 10 distinct regions of the Romanian Carpathian Mountains from 200...","internal_url":"https://www.academia.edu/100468460/A_new_fractal_index_to_classify_forest_fragmentation_and_disorder","translated_internal_url":"","created_at":"2023-04-19T21:10:19.265-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1960190,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":101284545,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/101284545/thumbnails/1.jpg","file_name":"s10980-023-01640-y.pdf","download_url":"https://www.academia.edu/attachments/101284545/download_file?st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_new_fractal_index_to_classify_forest_f.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/101284545/s10980-023-01640-y-libre.pdf?1681966361=\u0026response-content-disposition=attachment%3B+filename%3DA_new_fractal_index_to_classify_forest_f.pdf\u0026Expires=1732351130\u0026Signature=WIgn8kbTc~PnhHTCfTpgJM9ZzXwYS~JlIqbXu7I2OZTksoHpngy6Sp1CZOWYwlMJdQ6hiWTGWaIRDwB-0cGcQ1nf8bBQUMcamsFsIvgJijtgnR2v004K169t2d3AsB0kzIKoLgHYNFMIU6gYsGJBHyzzR8JTR~ck3J-veNl47aJ5gXaU9qdoiXYgzn-WyCS0Uld3FcRjcNavnSlb0yHf2T0w1MR0g6RD00gpGDLZAjdoI7HPSwRqVzvrE-wCBzOjRDIys1O~I7ILdoKJi4PeE2RRjEmH9NxMf3Pryj3LykI~5XulzbrcftRnN7W7jxf5FSZsQvNV2QKenLgvUyMEcQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_new_fractal_index_to_classify_forest_fragmentation_and_disorder","translated_slug":"","page_count":21,"language":"en","content_type":"Work","owner":{"id":1960190,"first_name":"Ion","middle_initials":null,"last_name":"Andronache","page_name":"IonAndronache","domain_name":"unibuc","created_at":"2012-06-16T23:04:51.279-07:00","display_name":"Ion Andronache","url":"https://unibuc.academia.edu/IonAndronache"},"attachments":[{"id":101284545,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/101284545/thumbnails/1.jpg","file_name":"s10980-023-01640-y.pdf","download_url":"https://www.academia.edu/attachments/101284545/download_file?st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_new_fractal_index_to_classify_forest_f.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/101284545/s10980-023-01640-y-libre.pdf?1681966361=\u0026response-content-disposition=attachment%3B+filename%3DA_new_fractal_index_to_classify_forest_f.pdf\u0026Expires=1732351130\u0026Signature=WIgn8kbTc~PnhHTCfTpgJM9ZzXwYS~JlIqbXu7I2OZTksoHpngy6Sp1CZOWYwlMJdQ6hiWTGWaIRDwB-0cGcQ1nf8bBQUMcamsFsIvgJijtgnR2v004K169t2d3AsB0kzIKoLgHYNFMIU6gYsGJBHyzzR8JTR~ck3J-veNl47aJ5gXaU9qdoiXYgzn-WyCS0Uld3FcRjcNavnSlb0yHf2T0w1MR0g6RD00gpGDLZAjdoI7HPSwRqVzvrE-wCBzOjRDIys1O~I7ILdoKJi4PeE2RRjEmH9NxMf3Pryj3LykI~5XulzbrcftRnN7W7jxf5FSZsQvNV2QKenLgvUyMEcQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":101284546,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/101284546/thumbnails/1.jpg","file_name":"s10980-023-01640-y.pdf","download_url":"https://www.academia.edu/attachments/101284546/download_file","bulk_download_file_name":"A_new_fractal_index_to_classify_forest_f.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/101284546/s10980-023-01640-y-libre.pdf?1681966363=\u0026response-content-disposition=attachment%3B+filename%3DA_new_fractal_index_to_classify_forest_f.pdf\u0026Expires=1732351130\u0026Signature=S-kK0c9U1xa3Yk1XcScdSK3NW6NKVYpow6cBmXZYSBIoXFKv6kWmmBAWDSSONq0TvqKT4dg10nnKdkvm5LkFcbWqvOjb2l6epsua~G~vyian9qjaXlYnVXpZq2SmtBXcFDKkCkpNeLbSypseuwQEoEfHKkJdymbCBuUd5Rp8nySDxzvtmDFAq7QoO1B6EcOJFROOhR8oONngI8mUTml5Net94koeetRBnjlJu-8jHerwfTYgQcri6bV1TopY~pTWZoBaqADSWekxX5u59d4MaJ6e8G27L-NGMp~Di8dACNZDtNIgoeNb~oKoa176P1a4A3sVDEvwAbsCD2UfonLRfQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":153,"name":"Landscape Ecology","url":"https://www.academia.edu/Documents/in/Landscape_Ecology"},{"id":400,"name":"Earth Sciences","url":"https://www.academia.edu/Documents/in/Earth_Sciences"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences"}],"urls":[{"id":30767992,"url":"https://link.springer.com/content/pdf/10.1007/s10980-023-01640-y.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96988951"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96988951/Fractal_algorithms_and_RGB_image_processing_in_scribal_and_ink_identification_on_an_1819_secret_initiation_manuscript_to_the_Philike_Hetaereia_"><img alt="Research paper thumbnail of Fractal algorithms and RGB image processing in scribal and ink identification on an 1819 secret initiation manuscript to the “Philike Hetaereia”" class="work-thumbnail" src="https://attachments.academia-assets.com/98734709/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96988951/Fractal_algorithms_and_RGB_image_processing_in_scribal_and_ink_identification_on_an_1819_secret_initiation_manuscript_to_the_Philike_Hetaereia_">Fractal algorithms and RGB image processing in scribal and ink identification on an 1819 secret initiation manuscript to the “Philike Hetaereia”</a></div><div class="wp-workCard_item"><span>Scientific Reports</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Historical texts incorporate important characteristics that need to be assessed including genre, ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Historical texts incorporate important characteristics that need to be assessed including genre, text structure and content. Often overlooked are characteristics of handwritten manuscripts commonly divided into legibility, readability and aesthetics. To determine the scientific feasibility of classification of handwritten texts an objective approach is developed to describe twenty handwritten pages of an 1819 Greek manuscript, that refers to the initiation to the Greek secret “friendly society” (Philike Hetaereia) organization, established as part of the Greek independence against the Ottoman Turks. It is investigated through a fractal and RGB image analysis approach. Fractal Minkowski Dimension was applied on the handwritten text and the RGB color analysis on the ink and paper and both were used as a non-invasive manner and revealed interesting results. The novel RGB image analysis and the fractal analysis of the manuscript identified respectively, five iron gall inks and four scri...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d588f61f38501fe16c23a3cb41449400" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98734709,"asset_id":96988951,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98734709/download_file?st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96988951"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96988951"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96988951; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=96988951]").text(description); $(".js-view-count[data-work-id=96988951]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 96988951; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='96988951']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 96988951, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d588f61f38501fe16c23a3cb41449400" } } $('.js-work-strip[data-work-id=96988951]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96988951,"title":"Fractal algorithms and RGB image processing in scribal and ink identification on an 1819 secret initiation manuscript to the “Philike Hetaereia”","translated_title":"","metadata":{"abstract":"Historical texts incorporate important characteristics that need to be assessed including genre, text structure and content. Often overlooked are characteristics of handwritten manuscripts commonly divided into legibility, readability and aesthetics. To determine the scientific feasibility of classification of handwritten texts an objective approach is developed to describe twenty handwritten pages of an 1819 Greek manuscript, that refers to the initiation to the Greek secret “friendly society” (Philike Hetaereia) organization, established as part of the Greek independence against the Ottoman Turks. It is investigated through a fractal and RGB image analysis approach. Fractal Minkowski Dimension was applied on the handwritten text and the RGB color analysis on the ink and paper and both were used as a non-invasive manner and revealed interesting results. The novel RGB image analysis and the fractal analysis of the manuscript identified respectively, five iron gall inks and four scri...","publisher":"Springer Science and Business Media LLC","publication_name":"Scientific Reports"},"translated_abstract":"Historical texts incorporate important characteristics that need to be assessed including genre, text structure and content. Often overlooked are characteristics of handwritten manuscripts commonly divided into legibility, readability and aesthetics. To determine the scientific feasibility of classification of handwritten texts an objective approach is developed to describe twenty handwritten pages of an 1819 Greek manuscript, that refers to the initiation to the Greek secret “friendly society” (Philike Hetaereia) organization, established as part of the Greek independence against the Ottoman Turks. It is investigated through a fractal and RGB image analysis approach. Fractal Minkowski Dimension was applied on the handwritten text and the RGB color analysis on the ink and paper and both were used as a non-invasive manner and revealed interesting results. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="92885133"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/92885133/Using_Multitemporal_Landsat_ETM_Imagery_to_Determine_a_Sustainable_Exploitation_Patterns_of_the_Forest_Resources_in_the_Moldo_Transylvanian_Carpathians_Romania"><img alt="Research paper thumbnail of Using Multitemporal Landsat ETM+ Imagery to Determine a Sustainable Exploitation Patterns of the Forest Resources in the Moldo-Transylvanian Carpathians - Romania" class="work-thumbnail" src="https://attachments.academia-assets.com/95776496/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/92885133/Using_Multitemporal_Landsat_ETM_Imagery_to_Determine_a_Sustainable_Exploitation_Patterns_of_the_Forest_Resources_in_the_Moldo_Transylvanian_Carpathians_Romania">Using Multitemporal Landsat ETM+ Imagery to Determine a Sustainable Exploitation Patterns of the Forest Resources in the Moldo-Transylvanian Carpathians - Romania</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Monitoring the ratio of forested and deforested areas plays a key role in studying the dynamics o...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Monitoring the ratio of forested and deforested areas plays a key role in studying the dynamics of forest areas. Appropriate mapping of anthropogenic forest disturbances is particularly important in the context of sustainable forest management. It provides ecological, social and economic information which is crucial for forest policymakers. In the last two decades, the forest areas of the Moldo-Transylvanian Carpathians have been subject to a high rate of deforestation which at present state lacks proper quantification. We present a novel methodology for monitoring the forest disturbance dynamics in Moldo-Transylvanian Carpathians by use of fractal analysis including entropy, Fractal Fragmentation Index (FFI) and Tug-of-War lacunarity (&Lambda;_(T-o-W)). This was necessary to quantify and identify the disorder (entropy), the fragmentation (FFI) and heterogeneity of the spatial distribution (&Lambda;_(T-o-W)) patterns. Based on satellite images of the forest areas (annually 2000-2014...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8a37de35de5f25b15662832b01c3bab4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":95776496,"asset_id":92885133,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/95776496/download_file?st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="92885133"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="92885133"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 92885133; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=92885133]").text(description); $(".js-view-count[data-work-id=92885133]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 92885133; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='92885133']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 92885133, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "8a37de35de5f25b15662832b01c3bab4" } } $('.js-work-strip[data-work-id=92885133]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":92885133,"title":"Using Multitemporal Landsat ETM+ Imagery to Determine a Sustainable Exploitation Patterns of the Forest Resources in the Moldo-Transylvanian Carpathians - Romania","translated_title":"","metadata":{"abstract":"Monitoring the ratio of forested and deforested areas plays a key role in studying the dynamics of forest areas. 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Новые формы рельефа появились...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Большая пойма Балта-Брэилей претерпела некоторые изменения рельефа. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83269034"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83269034/Kolmogorov_compression_complexity_may_differentiate_different_schools_of_Orthodox_iconography"><img alt="Research paper thumbnail of Kolmogorov compression complexity may differentiate different schools of Orthodox iconography" class="work-thumbnail" src="https://attachments.academia-assets.com/88671689/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83269034/Kolmogorov_compression_complexity_may_differentiate_different_schools_of_Orthodox_iconography">Kolmogorov compression complexity may differentiate different schools of Orthodox iconography</a></div><div class="wp-workCard_item"><span>Scientific Reports</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The complexity in the styles of 1200 Byzantine icons painted between 13th and 16th from Greece, R...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The complexity in the styles of 1200 Byzantine icons painted between 13th and 16th from Greece, Russia and Romania was investigated through the Kolmogorov algorithmic information theory. The aim was to identify specific quantitative patterns which define the key characteristics of the three different painting schools. Our novel approach using the artificial surface images generated with Inverse FFT and the Midpoint Displacement (MD) algorithms, was validated by comparison of results with eight fractal and non-fractal indices. From the analyzes performed, normalized Kolmogorov compression complexity (KC) proved to be the best solution because it had the best complexity pattern differentiations, is not sensitive to the image size and the least affected by noise. We conclude that normalized KC methodology does offer capability to differentiate the icons within a School and amongst the three Schools.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3505c1e0d1b103398f1c5e9693d8ab0e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88671689,"asset_id":83269034,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88671689/download_file?st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83269034"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83269034"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83269034; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=83269034]").text(description); $(".js-view-count[data-work-id=83269034]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 83269034; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='83269034']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 83269034, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3505c1e0d1b103398f1c5e9693d8ab0e" } } $('.js-work-strip[data-work-id=83269034]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":83269034,"title":"Kolmogorov compression complexity may differentiate different schools of Orthodox iconography","translated_title":"","metadata":{"abstract":"The complexity in the styles of 1200 Byzantine icons painted between 13th and 16th from Greece, Russia and Romania was investigated through the Kolmogorov algorithmic information theory. 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data-click-track="profile-work-strip-title" href="https://www.academia.edu/77128612/Fractal_drainage_model_a_new_approach_to_determinate_the_complexity_of_watershed">Fractal drainage model-a new approach to determinate the complexity of watershed</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study uses fractal analysis to make a fractal drainage model, a new way to determinate the c...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study uses fractal analysis to make a fractal drainage model, a new way to determinate the complexity of watershed. The drainage model is a graphical representation considering the logarithmic scale of the number, length and average length of the river segments of a different order. The drainage model of Jijila watershed was based on classifications elaborated by Strahler and Zăvoianu using fractal analysis. This morphometric model allows the observation of qualitative and quantitative inter-determination of the watershed. The fractal analysis of river segments reflects the over-execution of the Jijila watershed due to the elongated development of the watershed, asymmetry, low average gradient. Hence, the Jijila watershed should have more of 2 nd and 3 rd order river segments. The morphometric analysis was made in the watershed Jijila, a small river in the SouthEast Romania, Dobrogea, from Măcinului Mountains. The fractal analysis of the fractal drainage model was made using to...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0790d5669a826f7decc96b490ae44380" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":84584880,"asset_id":77128612,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/84584880/download_file?st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="77128612"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="77128612"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 77128612; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=77128612]").text(description); $(".js-view-count[data-work-id=77128612]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 77128612; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='77128612']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 77128612, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0790d5669a826f7decc96b490ae44380" } } $('.js-work-strip[data-work-id=77128612]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":77128612,"title":"Fractal drainage model-a new approach to determinate the complexity of watershed","translated_title":"","metadata":{"abstract":"This study uses fractal analysis to make a fractal drainage model, a new way to determinate the complexity of watershed. 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thumbnail of ComsystanJ: A collection of Fiji/ImageJ2 plugins for nonlinear and complexity analysis in 1D, 2D and 3D" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/115052552/ComsystanJ_A_collection_of_Fiji_ImageJ2_plugins_for_nonlinear_and_complexity_analysis_in_1D_2D_and_3D">ComsystanJ: A collection of Fiji/ImageJ2 plugins for nonlinear and complexity analysis in 1D, 2D and 3D</a></div><div class="wp-workCard_item"><span>PLOS ONE</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Complex systems such as the global climate, biological organisms, civilisation, technical or soci...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Complex systems such as the global climate, biological organisms, civilisation, technical or social networks exhibit diverse behaviours at various temporal and spatial scales, often characterized by nonlinearity, feedback loops, and emergence. These systems can be characterized by physical quantities such as entropy, information, chaoticity or fractality rather than classical quantities such as time, velocity, energy or temperature. The drawback of these complexity quantities is that their definitions are not always mathematically exact and computational algorithms provide estimates rather than exact values. Typically, evaluations can be cumbersome, necessitating specialized tools. We are therefore introducing ComsystanJ, a novel and user-friendly software suite, providing a comprehensive set of plugins for complex systems analysis, without the need for prior programming knowledge. It is platform independent, end-user friendly and extensible. 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HELLENIC MANUSCRIPT REGARDING INITIATION TO SECRET "PHILIKE HETAIREIA</a></div><div class="wp-workCard_item"><span>Zenodo (CERN European Organization for Nuclear Research)</span><span>, Jan 25, 2023</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3ac4ea5226e15f4a8a5c8bbf97004472" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":108151451,"asset_id":110287654,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/108151451/download_file?st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" 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src="https://attachments.academia-assets.com/108151486/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/110287652/A_new_fractal_index_to_classify_forest_disturbance_and_anthropogenic_change">A new fractal index to classify forest disturbance and anthropogenic change</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ContextDeforestation remains one of the most pressing threats to biodiversity. Characterizing the...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ContextDeforestation remains one of the most pressing threats to biodiversity. Characterizing the resulting forest loss and fragmentation efficiently from remotely sensed data therefore has strong practical implications. Data are often separately analyzed for spatial fragmentation and disorder, but no existing metric simultaneously quantifies the shapes and arrangement of fragments. ObjectivesWe present a Fractal Fragmentation and Disorder Index (FFDI), which advances a previously developed fractal index by merging it with the Rényi information dimension. The FFDI is designed to work across spatial scales, and efficiently reports the fragmentation of images and spatial disorder of those fragments. MethodsWe validate the FFDI with four sets of synthetic Hierarchically Structured Random Map (HRM) multiscale images, characterized by increasing fragmentation and disorder but decreasing average size over multiple scales. We then apply the FFDI to the Global Land Analysis & Discovery Glob...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c005577f8cccd1e4480e062c33e55fab" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":108151486,"asset_id":110287652,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/108151486/download_file?st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="110287652"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="110287652"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 110287652; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=110287652]").text(description); $(".js-view-count[data-work-id=110287652]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 110287652; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='110287652']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 110287652, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c005577f8cccd1e4480e062c33e55fab" } } $('.js-work-strip[data-work-id=110287652]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":110287652,"title":"A new fractal index to classify forest disturbance and anthropogenic change","translated_title":"","metadata":{"abstract":"ContextDeforestation remains one of the most pressing threats to biodiversity. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="100468460"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/100468460/A_new_fractal_index_to_classify_forest_fragmentation_and_disorder"><img alt="Research paper thumbnail of A new fractal index to classify forest fragmentation and disorder" class="work-thumbnail" src="https://attachments.academia-assets.com/101284545/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/100468460/A_new_fractal_index_to_classify_forest_fragmentation_and_disorder">A new fractal index to classify forest fragmentation and disorder</a></div><div class="wp-workCard_item"><span>Landscape Ecology</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Context Forest loss and fragmentation pose extreme threats to biodiversity. Their efficient chara...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Context Forest loss and fragmentation pose extreme threats to biodiversity. Their efficient characterization from remotely sensed data therefore has strong practical implications. Data are often separately analyzed for spatial fragmentation and disorder, but no existing metric simultaneously quantifies both the shape and arrangement of fragments. Objectives We present a fractal fragmentation and disorder index (FFDI), which advances a previously developed fractal index by merging it with the Rényi information dimension. The FFDI is designed to work across spatial scales, and to efficiently report both the fragmentation of images and their spatial disorder. Methods We validate the FFDI with 12,600 synthetic hierarchically structured random map (HRM) multiscale images, as well as several other categories of fractal and non-fractal test images (4880 images). We then apply the FFDI to satellite imagery of forest cover for 10 distinct regions of the Romanian Carpathian Mountains from 200...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5bafcfe3faed5bf18b27a9568eee909c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":101284545,"asset_id":100468460,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/101284545/download_file?st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="100468460"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="100468460"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 100468460; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=100468460]").text(description); $(".js-view-count[data-work-id=100468460]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 100468460; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='100468460']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 100468460, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5bafcfe3faed5bf18b27a9568eee909c" } } $('.js-work-strip[data-work-id=100468460]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":100468460,"title":"A new fractal index to classify forest fragmentation and disorder","translated_title":"","metadata":{"abstract":"Context Forest loss and fragmentation pose extreme threats to biodiversity. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96988951"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96988951/Fractal_algorithms_and_RGB_image_processing_in_scribal_and_ink_identification_on_an_1819_secret_initiation_manuscript_to_the_Philike_Hetaereia_"><img alt="Research paper thumbnail of Fractal algorithms and RGB image processing in scribal and ink identification on an 1819 secret initiation manuscript to the “Philike Hetaereia”" class="work-thumbnail" src="https://attachments.academia-assets.com/98734709/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96988951/Fractal_algorithms_and_RGB_image_processing_in_scribal_and_ink_identification_on_an_1819_secret_initiation_manuscript_to_the_Philike_Hetaereia_">Fractal algorithms and RGB image processing in scribal and ink identification on an 1819 secret initiation manuscript to the “Philike Hetaereia”</a></div><div class="wp-workCard_item"><span>Scientific Reports</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Historical texts incorporate important characteristics that need to be assessed including genre, ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Historical texts incorporate important characteristics that need to be assessed including genre, text structure and content. Often overlooked are characteristics of handwritten manuscripts commonly divided into legibility, readability and aesthetics. To determine the scientific feasibility of classification of handwritten texts an objective approach is developed to describe twenty handwritten pages of an 1819 Greek manuscript, that refers to the initiation to the Greek secret “friendly society” (Philike Hetaereia) organization, established as part of the Greek independence against the Ottoman Turks. It is investigated through a fractal and RGB image analysis approach. Fractal Minkowski Dimension was applied on the handwritten text and the RGB color analysis on the ink and paper and both were used as a non-invasive manner and revealed interesting results. The novel RGB image analysis and the fractal analysis of the manuscript identified respectively, five iron gall inks and four scri...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d588f61f38501fe16c23a3cb41449400" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98734709,"asset_id":96988951,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98734709/download_file?st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96988951"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96988951"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96988951; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=96988951]").text(description); $(".js-view-count[data-work-id=96988951]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 96988951; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='96988951']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 96988951, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d588f61f38501fe16c23a3cb41449400" } } $('.js-work-strip[data-work-id=96988951]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96988951,"title":"Fractal algorithms and RGB image processing in scribal and ink identification on an 1819 secret initiation manuscript to the “Philike Hetaereia”","translated_title":"","metadata":{"abstract":"Historical texts incorporate important characteristics that need to be assessed including genre, text structure and content. Often overlooked are characteristics of handwritten manuscripts commonly divided into legibility, readability and aesthetics. To determine the scientific feasibility of classification of handwritten texts an objective approach is developed to describe twenty handwritten pages of an 1819 Greek manuscript, that refers to the initiation to the Greek secret “friendly society” (Philike Hetaereia) organization, established as part of the Greek independence against the Ottoman Turks. It is investigated through a fractal and RGB image analysis approach. Fractal Minkowski Dimension was applied on the handwritten text and the RGB color analysis on the ink and paper and both were used as a non-invasive manner and revealed interesting results. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="92885133"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/92885133/Using_Multitemporal_Landsat_ETM_Imagery_to_Determine_a_Sustainable_Exploitation_Patterns_of_the_Forest_Resources_in_the_Moldo_Transylvanian_Carpathians_Romania"><img alt="Research paper thumbnail of Using Multitemporal Landsat ETM+ Imagery to Determine a Sustainable Exploitation Patterns of the Forest Resources in the Moldo-Transylvanian Carpathians - Romania" class="work-thumbnail" src="https://attachments.academia-assets.com/95776496/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/92885133/Using_Multitemporal_Landsat_ETM_Imagery_to_Determine_a_Sustainable_Exploitation_Patterns_of_the_Forest_Resources_in_the_Moldo_Transylvanian_Carpathians_Romania">Using Multitemporal Landsat ETM+ Imagery to Determine a Sustainable Exploitation Patterns of the Forest Resources in the Moldo-Transylvanian Carpathians - Romania</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Monitoring the ratio of forested and deforested areas plays a key role in studying the dynamics o...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Monitoring the ratio of forested and deforested areas plays a key role in studying the dynamics of forest areas. Appropriate mapping of anthropogenic forest disturbances is particularly important in the context of sustainable forest management. It provides ecological, social and economic information which is crucial for forest policymakers. In the last two decades, the forest areas of the Moldo-Transylvanian Carpathians have been subject to a high rate of deforestation which at present state lacks proper quantification. We present a novel methodology for monitoring the forest disturbance dynamics in Moldo-Transylvanian Carpathians by use of fractal analysis including entropy, Fractal Fragmentation Index (FFI) and Tug-of-War lacunarity (&Lambda;_(T-o-W)). This was necessary to quantify and identify the disorder (entropy), the fragmentation (FFI) and heterogeneity of the spatial distribution (&Lambda;_(T-o-W)) patterns. Based on satellite images of the forest areas (annually 2000-2014...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8a37de35de5f25b15662832b01c3bab4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":95776496,"asset_id":92885133,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/95776496/download_file?st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="92885133"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="92885133"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 92885133; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=92885133]").text(description); $(".js-view-count[data-work-id=92885133]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 92885133; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='92885133']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 92885133, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "8a37de35de5f25b15662832b01c3bab4" } } $('.js-work-strip[data-work-id=92885133]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":92885133,"title":"Using Multitemporal Landsat ETM+ Imagery to Determine a Sustainable Exploitation Patterns of the Forest Resources in the Moldo-Transylvanian Carpathians - Romania","translated_title":"","metadata":{"abstract":"Monitoring the ratio of forested and deforested areas plays a key role in studying the dynamics of forest areas. 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Новые формы рельефа появились...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Большая пойма Балта-Брэилей претерпела некоторые изменения рельефа. 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The aim was to identify specific quantitative patterns which define the key characteristics of the three different painting schools. Our novel approach using the artificial surface images generated with Inverse FFT and the Midpoint Displacement (MD) algorithms, was validated by comparison of results with eight fractal and non-fractal indices. From the analyzes performed, normalized Kolmogorov compression complexity (KC) proved to be the best solution because it had the best complexity pattern differentiations, is not sensitive to the image size and the least affected by noise. 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data-click-track="profile-work-strip-title" href="https://www.academia.edu/77128612/Fractal_drainage_model_a_new_approach_to_determinate_the_complexity_of_watershed">Fractal drainage model-a new approach to determinate the complexity of watershed</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study uses fractal analysis to make a fractal drainage model, a new way to determinate the c...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study uses fractal analysis to make a fractal drainage model, a new way to determinate the complexity of watershed. The drainage model is a graphical representation considering the logarithmic scale of the number, length and average length of the river segments of a different order. The drainage model of Jijila watershed was based on classifications elaborated by Strahler and Zăvoianu using fractal analysis. This morphometric model allows the observation of qualitative and quantitative inter-determination of the watershed. The fractal analysis of river segments reflects the over-execution of the Jijila watershed due to the elongated development of the watershed, asymmetry, low average gradient. Hence, the Jijila watershed should have more of 2 nd and 3 rd order river segments. The morphometric analysis was made in the watershed Jijila, a small river in the SouthEast Romania, Dobrogea, from Măcinului Mountains. The fractal analysis of the fractal drainage model was made using to...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0790d5669a826f7decc96b490ae44380" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":84584880,"asset_id":77128612,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/84584880/download_file?st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="77128612"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="77128612"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 77128612; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=77128612]").text(description); $(".js-view-count[data-work-id=77128612]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 77128612; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='77128612']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 77128612, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0790d5669a826f7decc96b490ae44380" } } $('.js-work-strip[data-work-id=77128612]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":77128612,"title":"Fractal drainage model-a new approach to determinate the complexity of watershed","translated_title":"","metadata":{"abstract":"This study uses fractal analysis to make a fractal drainage model, a new way to determinate the complexity of watershed. 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The fractal analysis of the fractal drainage model was made using to...","publication_date":{"day":null,"month":null,"year":2017,"errors":{}}},"translated_abstract":"This study uses fractal analysis to make a fractal drainage model, a new way to determinate the complexity of watershed. The drainage model is a graphical representation considering the logarithmic scale of the number, length and average length of the river segments of a different order. The drainage model of Jijila watershed was based on classifications elaborated by Strahler and Zăvoianu using fractal analysis. This morphometric model allows the observation of qualitative and quantitative inter-determination of the watershed. The fractal analysis of river segments reflects the over-execution of the Jijila watershed due to the elongated development of the watershed, asymmetry, low average gradient. Hence, the Jijila watershed should have more of 2 nd and 3 rd order river segments. The morphometric analysis was made in the watershed Jijila, a small river in the SouthEast Romania, Dobrogea, from Măcinului Mountains. The fractal analysis of the fractal drainage model was made using to...","internal_url":"https://www.academia.edu/77128612/Fractal_drainage_model_a_new_approach_to_determinate_the_complexity_of_watershed","translated_internal_url":"","created_at":"2022-04-20T20:04:01.444-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1960190,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":84584880,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/84584880/thumbnails/1.jpg","file_name":"2diaconu.pdf","download_url":"https://www.academia.edu/attachments/84584880/download_file?st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Fractal_drainage_model_a_new_approach_to.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/84584880/2diaconu-libre.pdf?1650514854=\u0026response-content-disposition=attachment%3B+filename%3DFractal_drainage_model_a_new_approach_to.pdf\u0026Expires=1732351130\u0026Signature=LAUyyDeWYsweqyYzSYOo97~14N5-CnUm4rtIooHfgz0Jp2wrCGJzGlcZv3cALxCp-9E-ynT31OS0VPy6~kXuqbwVekPnCCGDM~lykMxsyNmVfylXQylnc0Hz8wHW~SnLW3lkKX9gHOSzlTe9~I00uF8lhTVtElIhoOrIBGHQLxvMxs4OcbTaW2anL~FzotC7BEFVmKrWekHKgWE4Wgxs7lsSs4wMwq0eF9X4GCzkfXOAN3cw446-E9dqEdITKEwxgjPf7zwPt~CNNFCsXggvBdsev8ZXvGPCvNMIcfuTLzfuROP6mtxSrash9dSrAgrGRl8T1YA3g53c3Y6kq9l0EQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Fractal_drainage_model_a_new_approach_to_determinate_the_complexity_of_watershed","translated_slug":"","page_count":10,"language":"en","content_type":"Work","owner":{"id":1960190,"first_name":"Ion","middle_initials":null,"last_name":"Andronache","page_name":"IonAndronache","domain_name":"unibuc","created_at":"2012-06-16T23:04:51.279-07:00","display_name":"Ion Andronache","url":"https://unibuc.academia.edu/IonAndronache"},"attachments":[{"id":84584880,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/84584880/thumbnails/1.jpg","file_name":"2diaconu.pdf","download_url":"https://www.academia.edu/attachments/84584880/download_file?st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&st=MTczMjM0NzUzMCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Fractal_drainage_model_a_new_approach_to.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/84584880/2diaconu-libre.pdf?1650514854=\u0026response-content-disposition=attachment%3B+filename%3DFractal_drainage_model_a_new_approach_to.pdf\u0026Expires=1732351130\u0026Signature=LAUyyDeWYsweqyYzSYOo97~14N5-CnUm4rtIooHfgz0Jp2wrCGJzGlcZv3cALxCp-9E-ynT31OS0VPy6~kXuqbwVekPnCCGDM~lykMxsyNmVfylXQylnc0Hz8wHW~SnLW3lkKX9gHOSzlTe9~I00uF8lhTVtElIhoOrIBGHQLxvMxs4OcbTaW2anL~FzotC7BEFVmKrWekHKgWE4Wgxs7lsSs4wMwq0eF9X4GCzkfXOAN3cw446-E9dqEdITKEwxgjPf7zwPt~CNNFCsXggvBdsev8ZXvGPCvNMIcfuTLzfuROP6mtxSrash9dSrAgrGRl8T1YA3g53c3Y6kq9l0EQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[{"id":19732180,"url":"https://web.archive.org/web/20180420190701/https://actamont.tuke.sk/pdf/2017/n1/2diaconu.pdf"}]}, dispatcherData: dispatcherData }); 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