Instant Location Detection of Objects Moving at High-Speedin C-OTDR Monitoring Systems

<!DOCTYPE html> <html lang="en" dir="ltr"> <head> <meta charset="utf-8"> <meta http-equiv="X-UA-Compatible" content="IE=edge"> <meta name="viewport" content="width=device-width, initial-scale=1"> <meta name="google-site-verification" content="5fPGCLllnWrvFxH9QWI0l1TadV7byeEvfPcyK2VkS_s"/> <meta name="google-site-verification" content="Rp5zp04IKW-s1IbpTOGB7Z6XY60oloZD5C3kTM-AiY4"/> <meta name="generator" content="InvenioRDM 13.0"/> <meta name="robots" content="noindex, nofollow"> <meta name="description" content="The practical efficient approach is suggested to estimate the high-speed objects instant bounds in C-OTDR monitoring systems. In case of super-dynamic objects (trains, cars) is difficult to obtain the adequate estimate of the instantaneous object localization because of estimation lag. In other words, reliable estimation coordinates of monitored object requires taking some time for data observation collection by means of C-OTDR system, and only if the required sample volume will be collected the final decision could be issued. But it is contrary to requirements of many real applications. For example, in rail traffic management systems we need to get data of the dynamic objects localization in real time. The way to solve this problem is to use the set of statistical independent parameters of C-OTDR signals for obtaining the most reliable solution in real time. The parameters of this type we can call as 芦signaling parameters禄 (SP). There are several the SP鈥檚 which carry information about dynamic objects instant localization for each of COTDR channels. The problem is that some of these parameters are very sensitive to dynamics of seismoacoustic emission sources, but are non-stable. On the other hand, in case the SP is very stable it becomes insensitive as rule. This report contains describing of the method for SP鈥檚 co-processing which is designed to get the most effective dynamic objects localization estimates in the C-OTDR monitoring system framework." /> <meta name="citation_title" content="Instant Location Detection of Objects Moving at High-Speedin C-OTDR Monitoring Systems" /> <meta name="citation_doi" content="10.5281/zenodo.1109127" /> <meta name="citation_keywords" content="C-OTDR-system" /> <meta name="citation_keywords" content="co-processing of signaling parameters" /> <meta name="citation_keywords" content="high-speed objects localization" /> <meta name="citation_keywords" content="multichannel monitoring systems." /> <meta name="citation_abstract_html_url" content="https://zenodo.org/records/1109127" /> <meta property="og:title" content="Instant Location Detection of Objects Moving at High-Speedin C-OTDR Monitoring Systems" /> <meta property="og:description" content="The practical efficient approach is suggested to estimate the high-speed objects instant bounds in C-OTDR monitoring systems. In case of super-dynamic objects (trains, cars) is difficult to obtain the adequate estimate of the instantaneous object localization because of estimation lag. In other words, reliable estimation coordinates of monitored object requires taking some time for data observation collection by means of C-OTDR system, and only if the required sample volume will be collected the final decision could be issued. But it is contrary to requirements of many real applications. For example, in rail traffic management systems we need to get data of the dynamic objects localization in real time. The way to solve this problem is to use the set of statistical independent parameters of C-OTDR signals for obtaining the most reliable solution in real time. The parameters of this type we can call as 芦signaling parameters禄 (SP). There are several the SP鈥檚 which carry information about dynamic objects instant localization for each of COTDR channels. The problem is that some of these parameters are very sensitive to dynamics of seismoacoustic emission sources, but are non-stable. On the other hand, in case the SP is very stable it becomes insensitive as rule. This report contains describing of the method for SP鈥檚 co-processing which is designed to get the most effective dynamic objects localization estimates in the C-OTDR monitoring system framework." /> <meta property="og:url" content="https://zenodo.org/records/1109127" /> <meta property="og:site_name" content="Zenodo" /> <meta name="twitter:card" content="summary" /> <meta name="twitter:site" content="@zenodo_org" /> <meta name="twitter:title" content="Instant Location Detection of Objects Moving at High-Speedin C-OTDR Monitoring Systems" /> <meta name="twitter:description" content="The practical efficient approach is suggested to estimate the high-speed objects instant bounds in C-OTDR monitoring systems. In case of super-dynamic objects (trains, cars) is difficult to obtain the adequate estimate of the instantaneous object localization because of estimation lag. In other words, reliable estimation coordinates of monitored object requires taking some time for data observation collection by means of C-OTDR system, and only if the required sample volume will be collected the final decision could be issued. But it is contrary to requirements of many real applications. For example, in rail traffic management systems we need to get data of the dynamic objects localization in real time. The way to solve this problem is to use the set of statistical independent parameters of C-OTDR signals for obtaining the most reliable solution in real time. The parameters of this type we can call as 芦signaling parameters禄 (SP). There are several the SP鈥檚 which carry information about dynamic objects instant localization for each of COTDR channels. The problem is that some of these parameters are very sensitive to dynamics of seismoacoustic emission sources, but are non-stable. On the other hand, in case the SP is very stable it becomes insensitive as rule. This report contains describing of the method for SP鈥檚 co-processing which is designed to get the most effective dynamic objects localization estimates in the C-OTDR monitoring system framework." /> <meta name="citation_pdf_url" content="https://zenodo.org/records/1109127/files/10002523.pdf"/> <link rel="alternate" type="application/pdf" href="https://zenodo.org/records/1109127/files/10002523.pdf"> <link rel="canonical" href="https://zenodo.org/records/1109127"> <title>Instant Location Detection of Objects Moving at High-Speedin C-OTDR Monitoring Systems</title> <link rel="shortcut icon" type="image/x-icon" href="/static/favicon.ico"/> <link rel="apple-touch-icon" sizes="120x120" href="/static/apple-touch-icon-120.png"/> <link rel="apple-touch-icon" sizes="152x152" href="/static/apple-touch-icon-152.png"/> <link rel="apple-touch-icon" sizes="167x167" href="/static/apple-touch-icon-167.png"/> <link rel="apple-touch-icon" sizes="180x180" href="/static/apple-touch-icon-180.png"/> <link 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container"> <div class="ui relaxed grid mt-5"> <div class="two column row top-padded"> <article class="sixteen wide tablet eleven wide computer column main-record-content"> <section id="record-info" aria-label="Publication date and version number"> <div class="ui grid middle aligned"> <div class="two column row"> <div class="left floated left aligned column"> <span class="ui" title="Publication date"> Published September 2, 2015 </span> <span class="label text-muted"> | Version 10002523</span> </div> <div class="right floated right aligned column"> <span role="note" class="ui label horizontal small neutral mb-5" aria-label="Resource type" > Journal article </span> <span role="note" class="ui label horizontal small access-status open mb-5" data-tooltip="The record and files are publicly accessible." data-inverted="" aria-label="Access status" > <i class="icon unlock" aria-hidden="true"></i> <span aria-label="The record and files are publicly accessible."> Open </span> </span> </div> </div> </div> </section> <div class="ui divider hidden"></div><section id="record-title-section" aria-label="Record title and creators"> <h1 id="record-title" class="wrap-overflowing-text">Instant Location Detection of Objects Moving at High-Speedin C-OTDR Monitoring Systems</h1> <section id="creatibutors" aria-label="Creators and contributors"> <div class="ui grid"> <div class="row ui accordion affiliations"> <div class="sixteen wide mobile twelve wide tablet thirteen wide computer column"> <h3 class="sr-only">Creators</h3> <ul class="creatibutors"> <li class="creatibutor-wrap separated"> <a class="ui creatibutor-link" href="/search?q=metadata.creators.person_or_org.name%3A%22Andrey+V.+Timofeev%22" > <span class="creatibutor-name">Andrey V. Timofeev</span></a> </li> </ul> </div> </div> </div> </section> </section> <section id="description" class="rel-mt-2 rich-input-content" aria-label="Record description"> <h2 id="description-heading" class="sr-only">Description</h2> <div style="word-wrap: break-word;"> <p><p>The practical efficient approach is suggested to estimate the high-speed objects instant bounds in C-OTDR monitoring systems. In case of super-dynamic objects (trains, cars) is difficult to obtain the adequate estimate of the instantaneous object localization because of estimation lag. In other words, reliable estimation coordinates of monitored object requires taking some time for data observation collection by means of C-OTDR system, and only if the required sample volume will be collected the final decision could be issued. But it is contrary to requirements of many real applications. For example, in rail traffic management systems we need to get data of the dynamic objects localization in real time. The way to solve this problem is to use the set of statistical independent parameters of C-OTDR signals for obtaining the most reliable solution in real time. The parameters of this type we can call as «signaling parameters» (SP). There are several the SP’s which carry information about dynamic objects instant localization for each of COTDR channels. The problem is that some of these parameters are very sensitive to dynamics of seismoacoustic emission sources, but are non-stable. On the other hand, in case the SP is very stable it becomes insensitive as rule. This report contains describing of the method for SP’s co-processing which is designed to get the most effective dynamic objects localization estimates in the C-OTDR monitoring system framework.</p></p> </div> </section> <section id="record-files" class="rel-mt-2 rel-mb-3" aria-label="Files" ><h2 id="files-heading">Files</h2> <div class="ui accordion panel mb-10 open" href="#files-preview-accordion-panel"> <h3 class="active title panel-heading open m-0"> <div role="button" id="files-preview-accordion-trigger" aria-controls="files-preview-accordion-panel" aria-expanded="true" tabindex="0" class="trigger" aria-label="File preview" > <span id="preview-file-title">10002523.pdf</span> <i class="angle right icon" aria-hidden="true"></i> </div> </h3> <div role="region" id="files-preview-accordion-panel" aria-labelledby="files-preview-accordion-trigger" class="active content preview-container pt-0 open" > <div> <iframe title="Preview" class="preview-iframe" id="preview-iframe" name="preview-iframe" src="/records/1109127/preview/10002523.pdf?include_deleted=0" > </iframe> </div> </div> </div> <div class="ui accordion panel mb-10 open" href="#files-list-accordion-panel"> <h3 class="active title panel-heading open m-0"> <div role="button" id="files-list-accordion-trigger" aria-controls="files-list-accordion-panel" aria-expanded="true" tabindex="0" class="trigger"> Files <small class="text-muted"> (398.1 kB)</small> <i class="angle right icon" aria-hidden="true"></i> </div> </h3> <div role="region" id="files-list-accordion-panel" aria-labelledby="files-list-accordion-trigger" class="active content pt-0"> <div> <table class="ui striped table files fluid open"> <thead> <tr> <th>Name</th> <th>Size</th> <th class> <a role="button" class="ui compact mini button right floated archive-link" href="https://zenodo.org/api/records/1109127/files-archive"> <i class="file archive icon button" aria-hidden="true"></i> Download all </a> </th> </tr> </thead> <tbody> <tr> <td class="ten wide"> <div> <a href="/records/1109127/files/10002523.pdf?download=1">10002523.pdf</a> </div> <small class="ui text-muted font-tiny">md5:375d1a2816fb53e0ea9b20b175e7e760 <div class="ui icon inline-block" data-tooltip="This is the file fingerprint (checksum), which can be used to verify the file integrity."> <i class="question circle checksum icon"></i> </div> </small> </td> <td>398.1 kB</td> <td class="right aligned"> <span> <a role="button" class="ui compact mini button preview-link" href="/records/1109127/preview/10002523.pdf?include_deleted=0" target="preview-iframe" data-file-key="10002523.pdf"> <i class="eye icon" aria-hidden="true"></i>Preview </a> <a role="button" class="ui compact mini button" href="/records/1109127/files/10002523.pdf?download=1"> <i class="download icon" aria-hidden="true"></i>Download </a> </span> </td> </tr> </tbody> </table> </div> </div> </div> </section> <section id="additional-details" class="rel-mt-2" aria-label="Additional record details"> <h2 id="record-details-heading">Additional details</h2> <div class="ui divider"></div> <div class="ui fluid accordion padded grid rel-mb-1"> <div class="active title sixteen wide mobile four wide tablet three wide computer column"> <h3 class="ui header"> <div id="references-accordion-trigger" role="button" tabindex="0" aria-expanded="true" aria-controls="references-panel" class="trigger" > <i class="caret right icon" aria-hidden="true"></i>References </div> </h3> </div> <div id="references-panel" role="region" aria-labelledby="references-accordion-trigger" class="active content sixteen wide mobile twelve wide tablet thirteen wide computer column" > <ul class="ui bulleted list details-list"> <li class="item">K. N. Choi, J. C. Juarez, H. F. Taylor, "Distributed fiber optic pressure/seismic sensor for low-cost monitoring of long perimeters", Proc. SPIE 5090, Unattended Ground Sensor Technologies and Applications, 2003, pp. 134-141.</li> <li class="item">J. C. Juarez, E. W. Maier, K. N. Choi, and H. F. Taylor, "Distributed Fiber-Optic Intrusion Sensor System", Journal of Lightwave Technology, Vol. 23, Issue 6, 2005, pp. 2081-2087.</li> <li class="item">S. S. Mahmoud, Y. Visagathilagar, J. Katsifolis., "Real-time distributed fiber optic sensor for security systems: Performance, event classification and nuisance mitigation". Photonic Sensors, Vol.2, Issue 3, 2012, pp. 225-236.</li> <li class="item">V. Korotaev, V. M. Denisov, A. V. Timofeev, and M. G. Serikova, "Analysis of seismoacoustic activity based on using optical fiber classifier," in Latin America Optics and Photonics Conference, OSA Technical Digest (online) (Optical Society of America, 2014), paper LM4A.22.</li> <li class="item">Y. Mei, "Sequential change-point detection when unknown parameters are present in the pre-change distribution", The Annals of Statistics, Vol. 34, 2006, pp. 92-122.</li> <li class="item">T.L. Lai, "Sequential Change point Detection in Quality Control and Dynamical Systems", Journal of Royal Statistical Society, Series B, Vol. 57, 1995, pp. 613-658.</li> <li class="item">A.V. Timofeev, "Monitoring the Railways by Means of C-OTDR Technology", International Journal of Mechanical, Aerospace, Industrial and Mechatronics Engineering, 9(5), 2015, 620-623.</li> </ul> </div> </div> <div class="ui divider"></div> </section> <section id="citations-search" data-record-pids='{"doi": {"client": "datacite", "identifier": "10.5281/zenodo.1109127", "provider": "datacite"}, "oai": {"identifier": "oai:zenodo.org:1109127", "provider": "oai"}}' data-record-parent-pids='{"doi": {"client": "datacite", "identifier": "10.5281/zenodo.1109126", "provider": "datacite"}}' data-citations-endpoint="https://zenodo-broker.web.cern.ch/api/relationships" aria-label="Record citations" class="rel-mb-1" > </section> </article> <aside class="sixteen wide tablet five wide computer column sidebar" aria-label="Record details"> <section id="metrics" aria-label="Metrics" class="ui segment rdm-sidebar sidebar-container"> <div class="ui tiny two statistics rel-mt-1"> <div class="ui statistic"> <div 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SPIE 5090, Unattended Ground Sensor Technologies and\nApplications, 2003, pp. 134-141."}, {"reference": "J. C. Juarez, E. W. Maier, K. N. Choi, and H. F. Taylor, \"Distributed\nFiber-Optic Intrusion Sensor System\", Journal of Lightwave\nTechnology, Vol. 23, Issue 6, 2005, pp. 2081-2087."}, {"reference": "S. S. Mahmoud, Y. Visagathilagar, J. Katsifolis., \"Real-time distributed\nfiber optic sensor for security systems: Performance, event classification\nand nuisance mitigation\". Photonic Sensors, Vol.2, Issue 3, 2012, pp.\n225-236."}, {"reference": "V. Korotaev, V. M. Denisov, A. V. Timofeev, and M. G. Serikova,\n\"Analysis of seismoacoustic activity based on using optical fiber\nclassifier,\" in Latin America Optics and Photonics Conference, OSA\nTechnical Digest (online) (Optical Society of America, 2014), paper\nLM4A.22."}, {"reference": "Y. 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SPIE 5090, Unattended Ground Sensor Technologies and\nApplications, 2003, pp. 134-141."}, {"reference": "J. C. Juarez, E. W. Maier, K. N. Choi, and H. F. Taylor, \"Distributed\nFiber-Optic Intrusion Sensor System\", Journal of Lightwave\nTechnology, Vol. 23, Issue 6, 2005, pp. 2081-2087."}, {"reference": "S. S. Mahmoud, Y. Visagathilagar, J. Katsifolis., \"Real-time distributed\nfiber optic sensor for security systems: Performance, event classification\nand nuisance mitigation\". Photonic Sensors, Vol.2, Issue 3, 2012, pp.\n225-236."}, {"reference": "V. Korotaev, V. M. Denisov, A. V. Timofeev, and M. G. Serikova,\n\"Analysis of seismoacoustic activity based on using optical fiber\nclassifier,\" in Latin America Optics and Photonics Conference, OSA\nTechnical Digest (online) (Optical Society of America, 2014), paper\nLM4A.22."}, {"reference": "Y. 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Instant Location Detection of Objects Moving at High-Speedin C-OTDR Monitoring Systems