{"id":1490,"date":"2017-08-29T02:39:53","date_gmt":"2017-08-29T02:39:53","guid":{"rendered":"http:\/\/people.utm.my\/azurati\/?p=1490"},"modified":"2017-11-01T03:54:31","modified_gmt":"2017-11-01T03:54:31","slug":"2017-q1-publications-in-sensors-journal","status":"publish","type":"post","link":"https:\/\/people.utm.my\/azurati\/2017\/08\/29\/2017-q1-publications-in-sensors-journal\/","title":{"rendered":"Congratulations Dr Eyad! Q1 Publication in SENSORS Journal ISI Web of Science"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; background_image=&#8221;https:\/\/people.utm.my\/azurati\/wp-content\/uploads\/sites\/611\/2017\/10\/9844266-Top-view-on-the-office-desk-Stock-Photo-notebook.jpg&#8221; admin_label=&#8221;section&#8221;][et_pb_row admin_label=&#8221;row&#8221;][et_pb_column type=&#8221;4_4&#8243; parallax=&#8221;off&#8221; parallax_method=&#8221;on&#8221;][et_pb_text admin_label=&#8221;Text&#8221;]<\/p>\n<div>Alhamdulillah and Congratulations Dr Eyad. His Phd work has been published in Q1\u00a0<a href=\"http:\/\/www.mdpi.com\/journal\/sensors\" target=\"_blank\" rel=\"noopener\"><span class=\"il\">SENSORS<\/span><\/a>\u00a0journal &#8211; 2.677 Impact factor, ISI Web of Science and Scopus indexed.<\/div>\n<div><\/div>\n<div><a href=\"http:\/\/www.mdpi.com\/1424-8220\/17\/8\/1789\">Full paper <\/a><\/div>\n<p>[\/et_pb_text][et_pb_image src=&#8221;https:\/\/people.utm.my\/azurati\/wp-content\/uploads\/sites\/611\/2017\/08\/big_cover-sensors-v17-i8.jpg&#8221; url=&#8221;http:\/\/www.mdpi.com\/1424-8220\/17\/8&#8243; animation=&#8221;fade_in&#8221; align=&#8221;center&#8221; max_width=&#8221;200px&#8221; max_width_last_edited=&#8221;off|desktop&#8221; disabled_on=&#8221;off|off|off&#8221; admin_label=&#8221;Image&#8221;] [\/et_pb_image][et_pb_text admin_label=&#8221;Text&#8221;]<\/p>\n<div class=\"abstr\" style=\"line-height: 1.538em;margin: 1em auto auto;color: #000000;font-family: arial, helvetica, clean, sans-serif;font-size: 13px;font-style: normal;font-weight: normal;letter-spacing: normal;text-align: left;text-indent: 0px;background-color: #ffffff\">\n<div class=\"cit\" style=\"font-size: 0.8465em;line-height: 1.45em;color: #000000;font-family: arial, helvetica, clean, sans-serif;font-style: normal;font-weight: normal;letter-spacing: normal;text-align: left;text-indent: 0px;background-color: #ffffff\"><span role=\"menubar\"><a style=\"color: #660066;border-bottom: 0px;text-decoration: underline\" title=\"Sensors (Basel, Switzerland).\" role=\"menuitem\" href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?cmd=Search&amp;term=Noor%20Azurati%20Ahmad#\">Sensors (Basel).<\/a><\/span>\u00a02017 Aug 5;17(8). pii: E1789. doi: 10.3390\/s17081789.<\/div>\n<h1 style=\"font-size: 1.4em;margin: 0.5em 0px;line-height: 1.25em;color: #000000;font-weight: bold;font-family: arial, helvetica, clean, sans-serif;font-style: normal;letter-spacing: normal;text-align: left;text-indent: 0px;background-color: #ffffff\">Adaptive Indoor Positioning Model Based on WLAN-Fingerprinting for Dynamic and Multi-Floor Environments.<\/h1>\n<div class=\"auths\" style=\"font-size: 0.923em;color: #000000;font-family: arial, helvetica, clean, sans-serif;font-style: normal;font-weight: normal;letter-spacing: normal;text-align: left;text-indent: 0px;background-color: #ffffff\"><a style=\"color: #660066;border-bottom: 0px;text-decoration: underline\" href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Alshami%20IH%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=28783047\">Alshami IH<\/a><sup style=\"font-size: 0.8461em;line-height: 1.6363em;vertical-align: baseline\">1,<\/sup><sup style=\"font-size: 0.8461em;line-height: 1.6363em;vertical-align: baseline\">2<\/sup>,\u00a0<a style=\"color: #660066;border-bottom: 0px;text-decoration: underline\" href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Ahmad%20NA%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=28783047\">Ahmad NA<\/a><sup style=\"font-size: 0.8461em;line-height: 1.6363em;vertical-align: baseline\">3<\/sup>,\u00a0<a style=\"color: #660066;border-bottom: 0px;text-decoration: underline\" href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Sahibuddin%20S%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=28783047\">Sahibuddin S<\/a><sup style=\"font-size: 0.8461em;line-height: 1.6363em;vertical-align: baseline\">4<\/sup>,\u00a0<a style=\"color: #660066;border-bottom: 0px;text-decoration: underline\" href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Firdaus%20F%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=28783047\">Firdaus F<\/a><sup style=\"font-size: 0.8461em;line-height: 1.6363em;vertical-align: baseline\">5,<\/sup><sup style=\"font-size: 0.8461em;line-height: 1.6363em;vertical-align: baseline\">6<\/sup>.<\/div>\n<div class=\"auths\" style=\"font-size: 0.923em;color: #000000;font-family: arial, helvetica, clean, sans-serif;font-style: normal;font-weight: normal;letter-spacing: normal;text-align: left;text-indent: 0px;background-color: #ffffff\"><\/div>\n<div class=\"auths\" style=\"font-size: 0.923em;color: #000000;font-family: arial, helvetica, clean, sans-serif;font-style: normal;font-weight: normal;letter-spacing: normal;text-align: left;text-indent: 0px;background-color: #ffffff\"><\/div>\n<h3 style=\"font-size: 1.0769em;line-height: 1.2857;margin: 0px;color: #985735;font-weight: bold\">Abstract<\/h3>\n<div class=\"\">\n<p style=\"margin: 0px 0px 0.5em;font-size: 1.04em\">The Global Positioning System demonstrates the significance of Location Based Services but it cannot be used indoors due to the lack of line of sight between satellites and receivers. Indoor Positioning Systems are needed to provide indoor Location Based Services. Wireless LAN fingerprints are one of the best choices for Indoor Positioning Systems because of their low cost, and high accuracy, however they have many drawbacks: creating radio maps is time consuming, the radio maps will become outdated with any environmental change, different mobile devices read the received signal strength (RSS) differently, and peoples&#8217; presence in LOS between access points and mobile device affects the RSS. This research proposes a new Adaptive Indoor Positioning System model (called DIPS) based on: a dynamic radio map generator, RSS certainty technique and peoples&#8217; presence effect integration for dynamic and multi-floor environments. Dynamic in our context refers to the effects of people and device heterogeneity. DIPS can achieve 98% and 92% positioning accuracy for floor and room positioning, and it achieves 1.2 m for point positioning error. RSS certainty enhanced the positioning accuracy for floor and room for different mobile devices by 11% and 9%. Then by considering the peoples&#8217; presence effect, the error is reduced by 0.2 m. In comparison with other works, DIPS achieves better positioning without extra devices.<\/p>\n<\/div>\n<\/div>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; fullwidth=&#8221;on&#8221; admin_label=&#8221;section&#8221;][et_pb_fullwidth_image src=&#8221;https:\/\/people.utm.my\/azurati\/wp-content\/uploads\/sites\/611\/2017\/08\/IMG-20160728-WA0003.jpg&#8221; animation=&#8221;fade_in&#8221; admin_label=&#8221;Fullwidth Image&#8221;] [\/et_pb_fullwidth_image][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Alhamdulillah and Congratulations Dr Eyad. His Phd work has been published in Q1\u00a0SENSORS\u00a0journal &#8211; 2.677 Impact factor, ISI Web of Science and Scopus indexed. Full paper Sensors (Basel).\u00a02017 Aug 5;17(8). pii: E1789. doi: 10.3390\/s17081789. Adaptive Indoor Positioning Model Based on WLAN-Fingerprinting for Dynamic and Multi-Floor Environments. Alshami IH1,2,\u00a0Ahmad NA3,\u00a0Sahibuddin S4,\u00a0Firdaus F5,6. Abstract The Global Positioning [&hellip;]<\/p>\n","protected":false},"author":6511,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"<div>Alhamdulillah and Congratulations Dr Eyad. His paper\/Phd work has been published in Q1\u00a0<a href=\"http:\/\/www.mdpi.com\/journal\/sensors\" target=\"_blank\" rel=\"noopener\"><span class=\"il\">SENSORS<\/span><\/a>\u00a0journal - 2.6 Impact factor, ISI Web of Science and Scopus indexed.<\/div><div>\u00a0<\/div><div><a href=\"http:\/\/www.mdpi.com\/about\/announcements\/1021\" target=\"_blank\" rel=\"noopener\">http:\/\/www.mdpi.com\/about\/announcements\/1021<\/a><\/div><p>\u00a0<\/p>","_et_gb_content_width":"","footnotes":""},"categories":[15],"tags":[],"class_list":["post-1490","post","type-post","status-publish","format-standard","hentry","category-publications"],"_links":{"self":[{"href":"https:\/\/people.utm.my\/azurati\/wp-json\/wp\/v2\/posts\/1490","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/people.utm.my\/azurati\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/people.utm.my\/azurati\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/people.utm.my\/azurati\/wp-json\/wp\/v2\/users\/6511"}],"replies":[{"embeddable":true,"href":"https:\/\/people.utm.my\/azurati\/wp-json\/wp\/v2\/comments?post=1490"}],"version-history":[{"count":0,"href":"https:\/\/people.utm.my\/azurati\/wp-json\/wp\/v2\/posts\/1490\/revisions"}],"wp:attachment":[{"href":"https:\/\/people.utm.my\/azurati\/wp-json\/wp\/v2\/media?parent=1490"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/people.utm.my\/azurati\/wp-json\/wp\/v2\/categories?post=1490"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/people.utm.my\/azurati\/wp-json\/wp\/v2\/tags?post=1490"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}