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FPGA and FPAA Implementation of Switched-State-Controlled CNN Based Sprott C Chaos Generator [Anahtarlamali Durum kontrollü HSA Tabanli Sprott C Kaos üretecinin FPGA ve FPAA Gerçekleştirimi] 

Günay E.; Altun K.; Ünal C. (Institute of Electrical and Electronics Engineers Inc., 2019)
In this paper, a realization of Sprott-94-c system using Switch State Control Cellular Neural Network (SC-CNN) is presented. In addition to simulation results, Field Programmable Gate Arrays (FPGAs) and Field Programmable ...

Harmonic estimator design using hybrid particle swarm optimization [Hibrit parçacik sürü optimizasyonu kullanarak harmonik kestirici tasarimi] 

Kabalci Y.; Koçkanat S.; Kabalci E. (Institute of Electrical and Electronics Engineers Inc., 2017)
The demand for electrical energy is increasing day by day and achieving high quality energy is becoming very important subject. Especially, harmonics occurred in power systems not only reduce the quality of the energy but ...

Detection and discrimination of complex thrust and salt tectonics structures using field data and RASAT images around the Emirhan region (Sivas, Turkey) [Emirhan (Sivas) Civarinda Karmasik Bindirme ve Tuz Tektonigi Yapilarinin Arazi Verileri ve RASAT Görüntüleriyle Ortaya Çikarilmasi ve Ayrimi] 

Cicekliyurt S.B.; Kavak K.S.; Callot J.-P.; Ringenbach J.-C. (24th Signal Processing and Communication Application Conference, SIU 2016, 2016)
RASAT L2 visible and panchromatic images were used to detect both thrust and salt tectonics structures as a reliable geologic mapping tool in this research. As a geographical transition plateau between Inner and Eastern ...

FPAA implementation of CNN based chaos generator [HSA Tabanli Kaos Üretecinin FPAA Kullanilarak Gerçekleştirilmesi] 

Gunay E.; Altun K. (Institute of Electrical and Electronics Engineers Inc., 2017)
Recent times Field Programmable Analog Arrays (FPAAs) attracts attention among the reprogrammable and reconfigurable hardwares because of their flexible structure and analog outputs. Thus, a Celluar Neural Network (CNN) ...

Determination of feederless casting limits by thermal analysis in cast iron 

Erturk S.O.; Kumruoglu L.C.; Ozel A. (Polish Academy of Sciences, 2017)
In this study the determinations of melt quality was carried out by thermal analysis of ductile iron. The aim of the study was to determine the limits of feederless casting after the determination of inoculation quality ...

Fabric defect detection using deep learning [Derin Ögrenme ile Kumas Hatasi Tespiti] 

Seker A.; Peker K.A.; Yuksek A.G.; Delibas E. (24th Signal Processing and Communication Application Conference, SIU 2016, 2016)
Fabric defect detection have importance in terms of sectoral quality. Automatic systems are developed on the defect detection, in this regard many methods are tried to obtain high precision with image processing studies. ...

Investigation of urban growth effects on forest area by creating different simulation scenarios 

Ayazli I.E.; Baslik S.; Yakup A.E.; Gul F.K.; Kotay D.; Gultekin M. (International Society for Photogrammetry and Remote Sensing, 2018)
It is necessary to keep urban growth under control according to the understanding of sustainable urban management in rapidly growing cities. In other words, sustainable urban management requires estimating how the land ...

A comparative study on the estimation of noise standard deviation using DATE and truncation thresholds [Gürültü Standart Sapmasinin DATE ve Kirpma Esikleri ile Kestirimi Üzerine Karsilastirmali bir Çalisma] 

Okatan M. (Institute of Electrical and Electronics Engineers Inc., 2018)
D-dimensional amplitude trimmed estimator (DATE) is used for estimating the noise standard deviation in data that can be modelled as a signal in additive white Gaussian noise. Truncation thresholds are a pair of amplitude ...

Formation of Al-Ti-B phases for grain refinement of Al alloys produced by high energy ball milling 

Arikoğlu M.; Apaydin F.; Özer A. (Trans Tech Publications Ltd, 2017)
In this experimental study, Al-Ti-B powders were ground in planetary ball mill to produce AlxTiyBz where x, y and z stands for the relative molar ratios of elements for the compilation of grain refiner compound. Powder ...

Verification of the results of the geotechnical monitoring using finite element method 

Drusa M.; Lamich D.; Vlcek J.; Heviankova S.; Kyncl M.; Marschalko M.; Yilmaz I.; Bouchal T.; Bendova M.; Kubeckova D.; Krcmar D.; Bednarik M. (13th International Multidisciplinary Scientific Geoconference and EXPO, SGEM 2013, 2013)
Verification of the results of the geotechnical monitoring using finite element analysis shows that this method allows you to make a sufficiently accurate prediction of the behavior of the structure. The actual modeling ...
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AuthorKaynar O. (12)Öksüz K.E. (11)Arslan H. (6)Altun K. (5)Gormez Y. (5)... View MoreSubjectPowder metallurgy (5)SiC (4)Deep learning (3)FPAA (3)machine learning (3)... View MorePublication Type
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Languageeng (63)tur (35)Publication CategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı (98)Access Typeinfo:eu-repo/semantics/closedAccess (87)info:eu-repo/semantics/openAccess (11)Date Issued2010 - 2019 (72)2000 - 2009 (21)1994 - 1999 (5)Has File(s)false (98)

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