Aydın Doğan

İzmir Demokrasi Üniversitesi

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Papers

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i-10 index

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Document Type

Co-Authors

Mevlüt Gürbüz

Ondokuz Mayıs University

Gürcan Yavuz

Dumlupinar University

Ender Suvacı

Eskişehir City Hospital

Göktuğ Günkaya

Anadolu University

Thomas Stützle

Université Libre de Bruxelles

Robert E. Newnham

Pennsylvania State University

Ali Savaş Koparal

Anadolu University

Erman Uzgur

University of the West of Scotland

SÖ

Serdar Özyön

Dumlupinar University

Tianjun Liao

National Taipei University of Technology

Cooperative Institutions

Eskişehir City Hospital

Anadolu University

Pennsylvania State University

Gauhati University

Dumlupinar University

Eskisehir Technical University

Ege University

Eskişehir Osmangazi University

Istanbul Technical University

American Ceramic Society

Author Statistics

Papers

Citation

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i-10 index

Research Field

Electrophoretic Deposition of Nanocrystalline BaTiO<sub>3</sub> in Ethanol Medium

Key engineering materials (2006)

Aydın Doğan Göktuğ Günkaya Ender Suvacı Markus Niederberger

Nanocrystalline material

Electrophoretic Deposition

Deposition

10.4028/0-87849-998-9.133

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Citations (0)

Self-Adaptive Search Equation-Based Artificial Bee Colony Algorithm With Cma-Es On The Noiseless Bbob Testbed

Zenodo (CERN European Organization for Nuclear Research) (2017)

Aydın Doğan Gürcan Yavuz

This file contains the data for results of SSEABC algorithm on BBOB functions testbed.

Testbed

10.5281/zenodo.439645

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AUTOMATIC FLOWER BOUNDARY EXTRACTION USING IPSOAntK-MEANS ALGORITHM

Cybernetics & Systems (2010)

Aydın Doğan Aybars Uğur

Automatic flower boundary extraction is an important part of flower image recognition and retrieval. Identifying a flower of interest or segmenting against the background is a difficult task. We proposed and developed a hybrid automatic flower boundary extraction method called IPSOAntK-means based on swarm intelligence techniques in this article. The method employs ant colony optimization, incremental particle swarm optimization (IPSO), and K-means algorithms and it is the first swarm-based technique in flower segmentation on color images. The parameters of the algorithm are tuned by iterated F-race and experiments are conducted over two different benchmark data sets: CAVIAR-Flower and Oxford 17 flowers data sets. In the CAVIAR-flower data set, IPSOAntK-means outperformed K-means with 96.4% accuracy on average over 600 colored flower images. Comparison results of the Oxford flower data set show that our method is one of the best flower segmentation methods in the literature.

Benchmark (surveying)

Swarm intelligence

Iterated function

10.1080/01969722.2010.500799

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Citations (3)

Electrospray deposition of SnO₂ films from precursor solution

Surface Engineering (2015)

Mevlüt Gürbüz Göktuğ Günkaya Aydın Doğan

The electrospray deposition (ESD) of SnO 2 films from SnCl 4 .5H 2 O precursor solution was performed for gas sensor applications. Deposition time, solution flow rate and solution concentration were the main control parameters in the ESD process. The morphological properties of the deposited films were characterised by scanning electron microscopy. X-ray diffraction and energy dispersive X-ray analyses were employed to confirm the crystal phases and composition of the films. The best coatings with an island of particle agglomerates were observed at a flow rate of 0.12 ml min −1 , for 60 min, and at a 0.05M concentration. The crystallisation of SnO 2 films was observed at 650°C. The grain size and surface morphology of the films were influenced by the sol concentrations. Larger grain size and cracked surface were observed by increasing the sol concentration. The film thickness of 6 µm and a grain size of less than 100 nm were achieved.

Deposition

10.1080/02670844.2015.1108048

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Citations (20)

Wide-band piezoelectric resonance frequency energy harvester

Hakan Güleç Ayse Gul Akyurekli Mert Gül Mevlüt Gürbüz Burhanettin Koc

10.1109/icept.2014.6918726

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Effect of the powder process type on dielectric and leakage current characteristics of flux grown 94NBT-6BT single crystals

Mevlüt Gürbüz Aydın Doğan

In this study, 94NBT-6BT single crystals were grown by flux growth method using uncalcined and calcined 94NBT-6BT powder. Crystal structures and chemical composition of grown crystals were characterized by X-ray diffraction (XRD), energy dispersive X-ray (EDX) and X-ray fluorescence (XRF) technique. Influences of the powder processing type on dielectric and leakage current properties of the grown single crystals were analyzed by impedance/gain phase analyzer, LCR meter, AIXACT (aixPES/CMA) piezoelectric and ferroelectric analyzer. The results showed that, single crystals which were produced by heat-treated powders gave better dielectric and leakage current properties than uncalcined single crystals.

Leakage (economics)

Magnetic Flux Leakage

10.1109/icept.2014.6918727

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Electrophoretic deposition of ZnO thin film in aqueous media

Aydın Doğan Ender Suvacı Göktuğ Günkaya Erman Uzgur

Electrophoretic Deposition

Deposition

Aqueous medium

Source

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Yasak İşletim Bölgeli Ekonomik Güç Dağıtım Problemlerine Geliştirilmiş Parçacık Sürü Optimizasyonu Yaklaşımı

Çankaya University Journal of Humanities and Social Sciences (2012)

Serdar Özyön Celal Yaşar Hasan Temurtaş Aydın Doğan

In this study, prohibited operating zone economic power dispatch problem which considers ramp rate limit, has been solved by improved particle swarm optimization algorithm (GPSO). The transmission line losses used in the solution of the problem have been computed by B-loss matrix. GPSO method has been applied to two different test systems in literature which consist of 6 and 15 generators. The attained optimum solution values have been compared with the optimum results in literature and have been discussed.

Economic Dispatch

Source

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Artificial bee colonies for continuous optimization: Experimental analysis and improvements

Swarm Intelligence (2013)

Tianjun Liao Aydın Doğan Thomas Stützle

Swarm intelligence

Benchmark (surveying)

10.1007/s11721-013-0088-5

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Citations (43)

Computational Intelligence in Civil and Hydraulic Engineering

Mathematical Problems in Engineering (2013)

Shengyong Chen Fei Kang Siamak Talatahari Sunghwan Kim Aydın Doğan

1 College of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, China 2 Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, China 3Marand Faculty of Engineering, University of Tabriz, Tabriz 51368, Iran 4Department of Civil, Construction, and Environmental Engineering, Iowa State University, IA 50011, USA 5 Computer Engineering Department, Dumlupinar University, 43100 Kutahya, Turkey

Hydraulic Engineering

10.1155/2013/935158

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Citations (3)