seminar FENG (2017-2018) [Responses]
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Seminar Code [1] TimestampEmail addressAcademic TitleYour DepartmentTitle of SeminarAbstract of SeminarSeminar KeywordsDatePrefered TimeTarget GroupLocationstatusDateTimelocationLink to feedbackGoogle Slides (size 16:10)
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FENG.SE17509209/10/2017 21:16:48halgurd.maghdid@koyauniversity.orgLecturerHalgurd Sarhang MaghdidSoftware EngineeringModified WiFi-RSS Fingerprint Technique to locate Indoors-Smartphones: FENG building at Koya University as a case studyPositioning system used for different purposes and different services, many researches are going on to find a more accurate position with low error within high performance. There are many localization solutions with different architectures, configurations, accuracies and reliabilities for both outdoors and indoors. For example, Global Navigation Satellite System (GNSS) technology has been used for outdoors. Global Positioning System (GPS) is one of the most common outdoors tracking solutions in the world, for outdoors, however, when indoors; it could not be accurately tracked users by using a GPS system. This is because, when users enters into indoors the GPS signals will no longer available due to blocked by the roof of buildings and it is no longer considered as a viable option. WiFi Positioning System (WPS) can be used as an alternative solution to define users’ position, especially when GPS signal is not available. Further, WPS is a low cost solution, because there is no need to deploying WiFi Access Points (WAPs) in the vicinity, as they are installed to access the Internet. In this paper, specifically, WiFi-RSS Fingerprinting technique is used to locate smartphones using WAPs signals with a modified calculation. The new modified calculation is to dynamic weighting of the WAPs RSS values based on the real-live indoors structure. The achieved positioning accuracy, based on several trial experiments, is up to 6 meters via the implemented algorithm in the MALTAB.Mobile Computing; WiFi; RSS-Fingerprinting; k-NN; Indoor positioning; Android Smartphones.23/10/201712:30:00FacultyNashmeil Hall/ FENG Approved 23/10/201712:30:00Nashmeil Hall/ FENG FENG.SE175092
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FENG.SE17509325/10/2017 08:35:01abdulbasit.faeq@koyauniversity.orgLecturerAbdulbasit Kamil FaeqQA DSWEAutomatic Recognition of Kurdish Dialects and Neighbor Languages Dialect recognition is one of the hottest topics in the speech analysis area. In this study, a system for dialect and language recognition is developed using phonetic and a style-based features. The study suggests a new set of feature using one-dimensional local binary pattern (LBP). The results show that the proposed LBP set of the feature is useful to improve dialect and language recognition accuracy. The acquired data involved in this study are three Kurdish dialects (Sorani, Badini, and Hawrami) with three neighbor languages (Arabic, Persian, and Turkish). The study proposed a new method to interpret the closeness of the Kurdish dialects and their neighbor languages using confusion matrix and a non-metric multi-dimensional visualization technique. The result shows that the Kurdish dialects can be clustered and linearly separated from the neighbor languagesDialect recognition, Language processing, Speech analysis, Machine learning, Local binary pattern.06/11/201712:30:00FacultyNashmeil Hall/ FENG Approved13/11/201712:30:00Nashmeil Hall/ FENG FENG.SE175093
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FENG.SE17509427/10/2017 16:07:19ribwar.abdulrahman@koyauniversity.orgLecturerRibwar Kermanj AbdulrahmanQA FENGThe requirements for the TQA and related systemدڵنيايى جۆری و زانستخوازی به‌رده‌وام له‌ ساڵی خوێندنی (2017_2018) Smart University, Quality Assurance, FENG, Dashboard 31/10/201712:30:00FacultyNashmeil Hall/ FENG Approved06/11/201712:30:00Nashmeil Hall/ FENG FENG.SE175094
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FENG.SE17509503/12/2017 22:49:06ribwar.abdulrahman@koyauniversity.orgLecturerدانا حاجی QA FENGبه‌ره‌نكاربونه‌وه‌ی توندو تیژی دژی ژنان توندو تیژی دژی ژنان ره‌كیكی میژوویی كۆنی هه‌یه‌ و هه‌میشه‌ ژنان چه‌وسینراونه‌ته‌وه‌ له‌ كومه‌لكاكاندا و هه‌وله‌كانیش به‌رده‌وامه‌ بوون بۆ ئاشناكردنه‌وه‌ی ئافره‌تان به‌ مافه‌كانیان و به‌رده‌وام ریكخراوی تایبه‌ت به‌ ئافره‌تان سه‌ریانهه‌لداوه‌ و تیكۆشاون له‌ پیناو مافی ئافره‌ت ه‌ به‌ره‌نكاربونه‌وه‌ی او توندو تیژیانه‌ی به‌رامبه‌ر ئافره‌ت ده‌كریت چ له‌سه‌ر ئاستی خیزانی یاخود له‌سه‌ر ئاستی كۆمه‌لكه‌ مافه‌كانی ژنان - پیشیلكردنی مافه‌كانی ژنان - چۆنیه‌تی به‌ره‌نكاربونه‌وه‌ی توندوتیژی دژی ژنان و روبه‌روبونه‌وه‌ی بیشیلكارییه‌كان 04/12/201711:00:00FacultyFENG- Nashmeil HallApproved 04-12-201711:00Nashemeil Hall/ FENG
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FENG.SE17509605/12/2017 09:17:36qa.office@koyauniversity.orgAssistant ProfessorDr.Haidar Lashkry Khidr, Dr. Salah Ismael Yahya, Muhammed BarzinjiOther"Koya University Journal of Humanities and Social Sciences (KUJHSS)
گۆڤارى زانكۆى كۆيە بۆ زانستە مرۆڤايەتى و كۆمەڵايەتييەكان"
"The importance of the KUJHSS for academics staff at the university, Features of the Journal , How to register in the Journal, Terms of writing research.How to send research, Publishing conditions, Acceptance and publication.
گرنگى گۆڤارى KUJHSS بۆ ستافى ئەكاديمى زانكۆى كۆيە، تايبەتمەندييەكانى گۆڤارەكە، چۆنێتى خۆتۆماركردن لە گۆڤارەكەدا،مەرجەكانى نوسينەوە، چۆن توێژينەوە دەنێرن،مەرجەكانى بڵاوكردنەوە، پەسەندكردن و بڵاوكردنەوە، . "
KUJHSS, Humanities, Social Sciences, Articles, registration, Publishing03/12/201711:00:00UniversityPresidency HallApproved03/12/201711:00:00Presidency HallFENG.SE175096
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FENG.SE17509706/12/2017 22:27:40ribwar.abdulrahman@koyauniversity.orgLecturerRibwar K. AbdulrahmanQA FENGسیمینارێکی زانستی دەربارەی زەمینلەرزەکەی شاری دەربەندیخان
پ.د.محمد ڕؤوف عبدالقادر
Earthquakeearthquake,Darbandikhan10/12/201709:30:00UniversityDr. Nazim Hall Approved10-12-201709:30Dr. Nazim hall/ FENG
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FENG - SE - 2017/2018
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FENG - SE - 2016/2017
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