Yilmaz Durna
Turkish Military Academy
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Publication
Featured researches published by Yilmaz Durna.
signal processing and communications applications conference | 2016
Emrah Genc; Huseyin Akcelik; Yilmaz Durna; Hasan Kocer; Safak Saraydemir
In this work, we present a high gain, broad bandwidth patch antenna which operates at 2.89-5.31 GHz using planar patterned metamaterial concept and its power reception performance. Ground plane is scraped with crossed strip-line gaps while the patch comprises separated micro triangular periodic gaps. The patterned metal patch and ground plane form a coupled capacitive-inductive circuit of negative index metamaterial. Moreover, metamaterial antennas experimental and theoretical power reception performances are evaluated for different selected intervals and compared by using Software Defined Radio.
signal processing and communications applications conference | 2015
Yilmaz Durna; Fikret Ari
Eye tracking in human-computer interaction is a situation often encountered in recent years. Pupil and eye gaze detection is used in health problems, security systems, ergonomic design, psychological analysis, market research, military areas and control applications. In this study, A realtime pupil-corneal reflection tracking with free head position is made by using Labview and Labview Vision Development Module. Literature in pursuit eye racking, we see that many different methods and algorithms used. Many of them use circle and ellipse detection algorithms. This is the long processing time of algorithms is one of the difficulties. With the proposed method in this study, pupil-corneal reflection is detected in 11 ms time at free head position.
signal processing and communications applications conference | 2012
Hasan Kocer; Murat Demir; Safak Saraydemir; Yilmaz Durna; Osman Torunoglu
Infrared (IR) sensors are intensively used in the thermal image processing applications. IR sensors have dominant effects on the performance enhancement of a thermal imaging system. If performance characteristics of IR sensors are known prior to the costly and time-consuming production phase, high performance IR sensors could be obtained rapidly and cost effectively. In this study, performance characteristics of noise and specific detectivity of HgCdTe IR sensor are evaluated at 77 K sensor operating temperature using a numerical simulation method. These characteristics can not be determined with analytical methods. Results of the study showed that the best detectivity was obtained when cut-off wavelength is 9 μm and the bias voltage is -10 mV. It is also clarified that the degradation of the detectivity is caused by the 1/f noise originating from the trap-assisted tunneling (TAT).
Applied Sciences | 2017
Yilmaz Durna; Fikret Ari
Savunma Bilimleri Dergisi | 2012
Hasan Kocer; Yilmaz Durna; Murat Demir; Önder Haluk Tekbaş
Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi | 2017
Huseyin Akcelik; Çağdaş Tuna; Şafak Saraydemir; Yilmaz Durna; Hasan Kocer
Aeu-international Journal of Electronics and Communications | 2017
Huseyin Akcelik; Yilmaz Durna; Safak Saraydemir; Hasan Kocer
european conference on antennas and propagation | 2016
Huseyin Akcelik; Kadir Ozden; Ahmet Ozer; Yilmaz Durna; Hasan Kocer
International Journal of Applied Mathematics, Electronics and Computers | 2016
ercan Taskiran; Yilmaz Durna; Hasan Kocer
signal processing and communications applications conference | 2015
Zekeriya Senturk; Y. Emre Vatankulu; Yilmaz Durna