{"id":130,"date":"2018-10-05T20:02:15","date_gmt":"2018-10-06T01:02:15","guid":{"rendered":"http:\/\/engineering3.flywheelsites.com\/ngatsis\/?page_id=130"},"modified":"2018-10-05T20:50:48","modified_gmt":"2018-10-06T01:50:48","slug":"software-and-data","status":"publish","type":"page","link":"https:\/\/ceid.utsa.edu\/ngatsis\/software-and-data\/","title":{"rendered":"Software and Data"},"content":{"rendered":"<h2>GPS Navigation Data Suitable for Spoofing Mitigation Studies<\/h2>\n<p><em><strong>Available on <a href=\"https:\/\/github.com\/Alikhalaj2006\/UTSA_GPS_DATA\">GitHub<\/a>.<\/strong><\/em><\/p>\n<p>A. Khalajmehrabadi has collected GPS navigation data (satellite IDs, pseudoranges, pseudorange rates, satellite positions, satellite velocities, and related uncertainty matrices) from a stationary GPS receiver on the UTSA campus.\u00a0These data are useful for GPS spoofing mitigation studies, and especially in stationary applications such as Phasor Measurement Units.<\/p>\n<p>We used these data to validate the spoofing mitigation algorithm in the following paper:<\/p>\n<ul>\n<li>A. Khalajmehrabadi, N. Gatsis, D. Akopian, and A. F. Taha, \u201cReal-Time\u00a0 Rejection and Mitigation\u00a0of Time Synchronization Attacks\u00a0 on the Global Positioning System,\u201d\u00a0<em>IEEE Trans. Industrial Electronics<\/em>, vol. 65, no. 8, pp. 6425\u20136435, Aug. 2018. Available on\u00a0<a href=\"https:\/\/doi.org\/10.1109\/TIE.2017.2787581\">IEEEXplore<\/a>\u00a0and\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1802.01649\">arXiv<\/a>.<\/li>\n<\/ul>\n<h2>Optimal Power Flow with Step-Voltage Regulators in Multi-Phase Distribution Networks<\/h2>\n<p><em><strong>Available on <a href=\"https:\/\/github.com\/hafezbazrafshan\/MultiphaseVRs\">GitHub<\/a>.<\/strong><\/em><\/p>\n<p>M. Bazrafshan has developed MATLAB codes for an SDP based relaxation of optimal power flow that includes tap selection of step-voltage regulators most commonly used in distribution networks (wye, closed-delta, and open-delta connected).<\/p>\n<p>The codes correspond to the theoretical results in the following paper:<\/p>\n<ul>\n<li>M. Bazrafshan, N. Gatsis, and H. Zhu, \u201cOptimal Tap Selection of Step-Voltage Regulators in Multi-Phase Distribution Networks,\u201d in\u00a0<em>Proc. Power System Computation Conf.<\/em>, Dublin, Ireland, June 2018, pp. 1\u20137. Available on <a href=\"https:\/\/ieeexplore.ieee.org\/document\/8442896\">IEEEXplore<\/a>.<\/li>\n<\/ul>\n<h2>Comprehensive Modeling of Three-Phase Distribution Feeders<\/h2>\n<p><strong><em>Available on\u00a0<a href=\"https:\/\/github.com\/hafezbazrafshan\/three-phase-modeling\">GitHub<\/a>.<\/em><\/strong><\/p>\n<p>M. Bazrafshan has developed MATLAB codes for modeling various components of three-phase distribution networks, including transmission lines with missing phases, ideal and non-ideal voltage regulators, and transformers, and for building the bus admittance matrix. The codes are applied to the following distribution feeders:<\/p>\n<ol>\n<li>IEEE 37-bus feeder<\/li>\n<li>IEEE 123-bus feeder<\/li>\n<li>8500-node feeder (medium-voltage section)<\/li>\n<li>European 906-bus low voltage feeder<\/li>\n<\/ol>\n<p>The Z-Bus method is used to compute the power flow solutions, and the results are shown to be matching the benchmarks provided by <a href=\"https:\/\/ewh.ieee.org\/soc\/pes\/dsacom\/testfeeders\/\">IEEE<\/a>\u00a0and the OpenDSS software by EPRI.<\/p>\n<p>The codes correspond to the theoretical results in the following paper:<\/p>\n<ul>\n<li>M. Bazrafshan and N. Gatsis, \u201cComprehensive Modeling of Three-Phase Distribution Systems via the Bus Admittance Matrix,\u201d\u00a0<em>IEEE Trans. Power Systems<\/em>, vol. 33, no. 2, pp.\u00a02015\u20132029,\u00a0Mar. 2018. Available on\u00a0<a href=\"https:\/\/doi.org\/10.1109\/TPWRS.2017.2728618\">IEEEXplore<\/a>\u00a0and\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1705.06782\">arXiv<\/a>.<\/li>\n<\/ul>\n<h2>Power Flow Methods for Three-Phase Distribution Feeders<\/h2>\n<p><strong><em>Available on\u00a0<a href=\"https:\/\/github.com\/hafezbazrafshan\/contraction-mapping\">GitHub<\/a>.<\/em><\/strong><\/p>\n<p>M. Bazrafshan has developed MATLAB codes for running the Z-Bus and forward-backward sweep power flow methods in three-phase distribution feeders. The codes are applied to the IEEE 13-, 37- and 123-bus distribution feeders, and account for missing phases, three-phase trasformers, and constant-power, constant-impedance, and constant-current loads.<\/p>\n<p>The codes correspond to the theoretical results developed in the following papers:<\/p>\n<ul>\n<li>M. Bazrafshan and N. Gatsis, \u201cConvergence of the Z-Bus Method for Three-Phase Distribution Load-Flow with ZIP Loads,\u201d\u00a0<em>IEEE Trans. Power Systems<\/em>, vol. 33, no. 1, pp. 153\u2013165, Jan 2018. Available on\u00a0<a href=\"https:\/\/doi.org\/10.1109\/TPWRS.2017.2703835\">IEEEXplore<\/a>\u00a0and\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1605.08511\">arXiv<\/a>.<\/li>\n<li>M. Bazrafshan and N. Gatsis, \u201cOn the Solution of the Three-Phase Load-Flow in Distribution Networks,\u201d in\u00a0<em>Proc. 50th Asilomar Annual Conf. Signals, Systems, and Computers<\/em>, Pacific Grove, CA, Nov. 2016, pp. 303\u2013307.<\/li>\n<\/ul>\n<h2>Power Flow Methods for Single-Phase Distribution Feeders<\/h2>\n<p><strong><em>Available on\u00a0<a href=\"https:\/\/github.com\/hafezbazrafshan\/single-phase-feeders\">GitHub<\/a>.<\/em><\/strong><\/p>\n<p>M. Bazrafshan has developed MATLAB codes for modeling single-phase versions of the IEEE 13-, 37- and 123-bus distribution feeders, and for running the Z-Bus power flow method.<\/p>\n<p>The single-phase version is obtained by considering the positive sequence of the corresponding three-phase feeder. Constant-power, constant-impedance, and constant-current loads are included.<\/p>\n<p>These codes correspond to the theoretical results developed in the following paper:<\/p>\n<ul>\n<li>M. Bazrafshan and N. Gatsis, \u201cConvergence of the Z-Bus Method and Existence of Unique Solution in Single-Phase Distribution Load-Flow,\u201d in\u00a0<em>Proc. 4th IEEE Global Conf. Signal and Information Processing<\/em>, Washington, DC, Dec. 2016, pp. 851\u2013855. Presentation available on\u00a0<a href=\"http:\/\/sigport.org\/1439\">SigPort<\/a>.<\/li>\n<\/ul>\n<h2>Placement and Sizing of Inverter-Based Renewable Systems in Multi-Phase Distribution Networks<\/h2>\n<p><em><strong>Available on <a href=\"https:\/\/github.com\/hafezbazrafshan\/three-phase-placement\">GitHub<\/a>.<\/strong><\/em><\/p>\n<p>M. Bazrafshan has developed MATLAB codes for placement and sizing of inverter-based renewable systems in multi-phase distribution networks. The uncertainty in the loads and renewable energy generation is characterized by a finite set of scenarios. Linear multi-phase power flow approximations and scenario reduction techniques are used to arrive at a tractable two-stage stochastic program.<\/p>\n<p>The codes correspond to the results in the following paper:<\/p>\n<ul>\n<li>M. Bazrafshan, N. Gatsis, and E. Dall\u2019Anese, \u201cPlacement and Sizing of Inverter-Based Renewable\u00a0Systems in Multi-Phase Distribution Networks,\u201d\u00a0<em>IEEE Trans. Power Systems<\/em>, in press. Available in <a href=\"https:\/\/ieeexplore.ieee.org\/document\/8468996\">IEEEXplore<\/a>.<\/li>\n<\/ul>\n<h2>Wireless LAN Fingerprinting Data<\/h2>\n<p><strong><em>Available on\u00a0<a href=\"https:\/\/github.com\/Alikhalaj2006\/WLAN-Fingerprinting-Database\">GitHub<\/a>.<\/em><\/strong><\/p>\n<p>A. Khalajmehrabadi has collected wireless LAN fingerprinting data from two floors in the AET and BSE buildings at UTSA.\u00a0These data are available for use by researchers working on indoor localization.<\/p>\n<p>We used these data to benchmark the methods developed in the following papers:<\/p>\n<ul>\n<li>A. Khalajmehrabadi, N. Gatsis, and D. Akopian, \u201cModern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges,\u201d\u00a0<em>IEEE Communications Surveys and Tutorials<\/em>, vol. 19, no. 3, pp. 1974\u20132002, third quarter 2017. Available on\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1610.05424\">arXiv<\/a>.<\/li>\n<li>A. Khalajmehrabadi, N. Gatsis, D. Pack, and D. Akopian, \u201cA Joint Indoor WLAN Localization and Outlier Detection Scheme Using LASSO and Elastic-Net Optimization Techniques,\u201d\u00a0<em>IEEE Trans. Mobile Computing<\/em>, vol. 16, no. 8 pp. 2079\u20132092, Aug. 2017. Available on\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1610.05419\">arXiv<\/a>.<\/li>\n<li>A. Khalajmehrabadi, N. Gatsis, and D. Akopian, \u201cStructured Group Sparsity: A Novel Indoor WLAN Localization, Outlier Detection, and Radio Map Interpolation Scheme,\u201d\u00a0<em>IEEE Trans. Vehicular Technology<\/em>, vol. 66, no. 7, pp. 6498\u20136510, July 2017. Available on\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1610.05421\">arXiv<\/a>.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>GPS Navigation Data Suitable for Spoofing Mitigation Studies Available on GitHub. A. Khalajmehrabadi has collected GPS navigation data (satellite IDs, pseudoranges, pseudorange rates, satellite positions, satellite velocities, and related uncertainty matrices) from a stationary GPS receiver on the UTSA campus.\u00a0These data are useful for GPS spoofing mitigation studies, and especially in stationary applications such as &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/ceid.utsa.edu\/ngatsis\/software-and-data\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Software and Data&#8221;<\/span><\/a><\/p>\n","protected":false},"author":27,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-130","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Software and Data - Nikolaos Gatsis<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ceid.utsa.edu\/ngatsis\/software-and-data\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Software and Data - Nikolaos Gatsis\" \/>\n<meta property=\"og:description\" content=\"GPS Navigation Data Suitable for Spoofing Mitigation Studies Available on GitHub. 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Khalajmehrabadi has collected GPS navigation data (satellite IDs, pseudoranges, pseudorange rates, satellite positions, satellite velocities, and related uncertainty matrices) from a stationary GPS receiver on the UTSA campus.\u00a0These data are useful for GPS spoofing mitigation studies, and especially in stationary applications such as &hellip; Continue reading &quot;Software and Data&quot;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/ceid.utsa.edu\/ngatsis\/software-and-data\/\" \/>\n<meta property=\"og:site_name\" content=\"Nikolaos Gatsis\" \/>\n<meta property=\"article:modified_time\" content=\"2018-10-06T01:50:48+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/ceid.utsa.edu\\\/ngatsis\\\/software-and-data\\\/\",\"url\":\"https:\\\/\\\/ceid.utsa.edu\\\/ngatsis\\\/software-and-data\\\/\",\"name\":\"Software and Data - Nikolaos Gatsis\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/ceid.utsa.edu\\\/ngatsis\\\/#website\"},\"datePublished\":\"2018-10-06T01:02:15+00:00\",\"dateModified\":\"2018-10-06T01:50:48+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/ceid.utsa.edu\\\/ngatsis\\\/software-and-data\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/ceid.utsa.edu\\\/ngatsis\\\/software-and-data\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/ceid.utsa.edu\\\/ngatsis\\\/software-and-data\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/ceid.utsa.edu\\\/ngatsis\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Software and Data\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/ceid.utsa.edu\\\/ngatsis\\\/#website\",\"url\":\"https:\\\/\\\/ceid.utsa.edu\\\/ngatsis\\\/\",\"name\":\"Nikolaos Gatsis\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/ceid.utsa.edu\\\/ngatsis\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/ceid.utsa.edu\\\/ngatsis\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/ceid.utsa.edu\\\/ngatsis\\\/#organization\",\"name\":\"UTSA College of Engineering\",\"url\":\"https:\\\/\\\/ceid.utsa.edu\\\/ngatsis\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/ceid.utsa.edu\\\/ngatsis\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/ceid.utsa.edu\\\/ngatsis\\\/wp-content\\\/uploads\\\/sites\\\/31\\\/2017\\\/07\\\/cropped-COE-Casual-single.png\",\"contentUrl\":\"https:\\\/\\\/ceid.utsa.edu\\\/ngatsis\\\/wp-content\\\/uploads\\\/sites\\\/31\\\/2017\\\/07\\\/cropped-COE-Casual-single.png\",\"width\":1932,\"height\":250,\"caption\":\"UTSA College of Engineering\"},\"image\":{\"@id\":\"https:\\\/\\\/ceid.utsa.edu\\\/ngatsis\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Software and Data - Nikolaos Gatsis","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/ceid.utsa.edu\/ngatsis\/software-and-data\/","og_locale":"en_US","og_type":"article","og_title":"Software and Data - Nikolaos Gatsis","og_description":"GPS Navigation Data Suitable for Spoofing Mitigation Studies Available on GitHub. 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Khalajmehrabadi has collected GPS navigation data (satellite IDs, pseudoranges, pseudorange rates, satellite positions, satellite velocities, and related uncertainty matrices) from a stationary GPS receiver on the UTSA campus.\u00a0These data are useful for GPS spoofing mitigation studies, and especially in stationary applications such as &hellip; Continue reading \"Software and Data\"","og_url":"https:\/\/ceid.utsa.edu\/ngatsis\/software-and-data\/","og_site_name":"Nikolaos Gatsis","article_modified_time":"2018-10-06T01:50:48+00:00","twitter_card":"summary_large_image","twitter_misc":{"Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/ceid.utsa.edu\/ngatsis\/software-and-data\/","url":"https:\/\/ceid.utsa.edu\/ngatsis\/software-and-data\/","name":"Software and Data - Nikolaos Gatsis","isPartOf":{"@id":"https:\/\/ceid.utsa.edu\/ngatsis\/#website"},"datePublished":"2018-10-06T01:02:15+00:00","dateModified":"2018-10-06T01:50:48+00:00","breadcrumb":{"@id":"https:\/\/ceid.utsa.edu\/ngatsis\/software-and-data\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/ceid.utsa.edu\/ngatsis\/software-and-data\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/ceid.utsa.edu\/ngatsis\/software-and-data\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/ceid.utsa.edu\/ngatsis\/"},{"@type":"ListItem","position":2,"name":"Software and Data"}]},{"@type":"WebSite","@id":"https:\/\/ceid.utsa.edu\/ngatsis\/#website","url":"https:\/\/ceid.utsa.edu\/ngatsis\/","name":"Nikolaos Gatsis","description":"","publisher":{"@id":"https:\/\/ceid.utsa.edu\/ngatsis\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/ceid.utsa.edu\/ngatsis\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/ceid.utsa.edu\/ngatsis\/#organization","name":"UTSA College of Engineering","url":"https:\/\/ceid.utsa.edu\/ngatsis\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/ceid.utsa.edu\/ngatsis\/#\/schema\/logo\/image\/","url":"https:\/\/ceid.utsa.edu\/ngatsis\/wp-content\/uploads\/sites\/31\/2017\/07\/cropped-COE-Casual-single.png","contentUrl":"https:\/\/ceid.utsa.edu\/ngatsis\/wp-content\/uploads\/sites\/31\/2017\/07\/cropped-COE-Casual-single.png","width":1932,"height":250,"caption":"UTSA College of Engineering"},"image":{"@id":"https:\/\/ceid.utsa.edu\/ngatsis\/#\/schema\/logo\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/ceid.utsa.edu\/ngatsis\/wp-json\/wp\/v2\/pages\/130","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ceid.utsa.edu\/ngatsis\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ceid.utsa.edu\/ngatsis\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ceid.utsa.edu\/ngatsis\/wp-json\/wp\/v2\/users\/27"}],"replies":[{"embeddable":true,"href":"https:\/\/ceid.utsa.edu\/ngatsis\/wp-json\/wp\/v2\/comments?post=130"}],"version-history":[{"count":0,"href":"https:\/\/ceid.utsa.edu\/ngatsis\/wp-json\/wp\/v2\/pages\/130\/revisions"}],"wp:attachment":[{"href":"https:\/\/ceid.utsa.edu\/ngatsis\/wp-json\/wp\/v2\/media?parent=130"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}