Yazar "Cesur, Evren" için Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering listeleme
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3-D spatio-temporal Gabor-type filter implementations with Time-Derivative Cellular Neural Networks
Yavuz, Oǧuzhan; Tural Polat, Sadiye Nergis; Cesur, Evren; Tavşanoğlu, Ahmet Vedat (IEEE, 2013)In this paper, a 3-D spatio-temporal Gabor-type filter is implemented using Time-Derivative Cellular Neural Network (TDCNN) structure. To this end, the transfer function of the spatio-temporal filter previously constructed ... -
Architecture of a fully pipelined real-time cellular neural network emulatort
Yıldız, Nerhun; Cesur, Evren; Kayaer, Kamer; Tavşanoğlu, Ahmet Vedat; Alpay, Murathan (IEEE-INST Electrical Electronics Engineers Inc, 2015-01)In this paper, architecture of a Real-Time Cellular Neural Network (CNN) Processor (RTCNNP-v2) is given and the implementation results are discussed. The proposed architecture has a fully pipelined structure, capable of ... -
Design of a third generation real-time cellular neural network emulator
Yıldız, Nerhun; Cesur, Evren; Tavşanoğlu, Ahmet Vedat (IEEE, 2014)In this paper, the features of the next generation Real-Time Cellular Neural Network Processor (RTCNNP-v3) are discussed. The RTCNNP-v2 structure is the only CNN implementation that is reported to be capable of processing ... -
A discussion on spatiotemporal filtering on a third generation real-time cellular neural network processor
Yıldız, Nerhun; Cesur, Evren; Tavşanoğlu, Ahmet Vedat (IEEE Computer Society, 2016)A third generation Real-Time Cellular Neural Network (CNN) Processor (RTCNNP-v3) is a CNN emulator currently being implemented targeting FPGA devices. Thanks to the frame buffer support of the RTCNNP-v3 it will be possible ... -
Hücresel sinir ağları kullanılarak el yazısı karakter tanıma uygulaması
Çalık, Nurullah; Cesur, Evren; Tavşanoğlu, Ahmet Vedat (IEEE, 2013-06-13)El yazısı karakter tanıma, örüntü tanımanın önemli alanlarından biridir. Bu alanın kapsamında önemli belgelerin , arşivlerin ve diğer yazılı metinlerin sayısal ortamlara aktarılması yada yazıcının tanınması gibi problemler ... -
Karma CPU + FPGA yapısı üzerinde tasarlanmış bilgisayar destekli sperm analizi sistemi
Savkay, Osman Levent; Tavşanoğlu, Ahmet Vedat; Yalçın, Müştak Erhan; Cesur, Evren (IEEE, 2015-06-19)Bu bildiride karma CPU + FPGA tabanlı bir donanım mimarisi üzerinde tasarlanan Bilgisayar Destekli Semen Analizi (BDSA) sistemi genel özellikleri ile anlatılmıştır. Spermatozoa motilite analizi hareketli çoklu nesne izleme ... -
On the way to a third generation real-time cellular neural network processor
Yıldız, Nerhun; Cesur, Evren; Tavşanoğlu, Ahmet Vedat (IEEE Computer Society, 2016)In this proceeding, the architecture of a third generation Real-Time Cellular Neural Network (CNN) Processor (RTCNNP-v3) is disclosed, which is a digital CNN emulator to be implemented on an FPGA device. The previous ... -
Realization of preprocessing blocks of CNN based CASA system on FPGA
Şavkay, Osman Levent; Yıldız, Nerhun; Cesur, Evren; Yalçın Müştak, Erhan; Tavşanoğlu, Ahmet Vedat (2013)In this paper, hardware optimization of the preprocessing part of a computer aided semen analysis (CASA) system is proposed, which is also implemented on an FPGA device as a working prototype. A real-time cellular neural ... -
Realization of processing blocks of CNN based CASA system on CPU and FPGA
Şavkay, Osman Levent; Cesur, Evren; Yıldız, Nerhun; Yalçın, Mustak Erhan; Tavşanoğlu, Ahmet Vedat (IEEE, 2014)In this paper, hardware optimization of the preprocessing and software implementation of the processing blocks of a computer aided semen analysis (CASA) system are proposed, which is also implemented on an FPGA and ARM ... -
Sperm morphology analysis with CNN based algorithms
Şavkay, Osman Levent; Cesur, Evren; Yalçın, Müştak Erhan; Tavşanoğlu, Ahmet Vedat (IEEE Computer Society, 2014-08-29)In this paper Morphological Analysis part of our proposed computer-aided sperm analysis system (CASA) is simulated and the results beside the algorithm steps are presented. The morphology analysis is simply dealing with ...