<?xml version="1.0" encoding="UTF-8"?><feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
<title>Makale Koleksiyonu</title>
<link href="https://hdl.handle.net/20.500.12619/2843" rel="alternate"/>
<subtitle/>
<id>https://hdl.handle.net/20.500.12619/2843</id>
<updated>2026-04-04T21:31:54Z</updated>
<dc:date>2026-04-04T21:31:54Z</dc:date>
<entry>
<title>Ring Opening of Epoxidized Soybean Oil with Compounds Containing Two Different Functional Groups</title>
<link href="https://hdl.handle.net/20.500.12619/2865" rel="alternate"/>
<author>
<name>Karadeniz, Kemal</name>
</author>
<author>
<name>Hatice Aki</name>
</author>
<author>
<name>Mustafa Yasin Sen</name>
</author>
<author>
<name>Yakup Calikoglu</name>
</author>
<id>https://hdl.handle.net/20.500.12619/2865</id>
<updated>2020-02-12T13:03:15Z</updated>
<published>2015-01-01T00:00:00Z</published>
<summary type="text">Ring Opening of Epoxidized Soybean Oil with Compounds Containing Two Different Functional Groups
Karadeniz, Kemal; Hatice Aki; Mustafa Yasin Sen; Yakup Calikoglu
bearing two different functional groups simultaneously. In this way, two new polyols were synthesized, one with TGA (polyol 1) and one with TGAME (polyol 2). FTIR and H-1- and C-13-NMR spectroscopy confirmed that the ring was opened by the carboxylic acid group of TGA, and the thiol group was not involved in the ring opening whereas the ring was opened by the thiol group in the case of TGAME.
</summary>
<dc:date>2015-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Investigation of the Delamination Factor of Glass Sphere and Silicon Particle Reinforced (GS-SCR) Hybrid Composite Material</title>
<link href="https://hdl.handle.net/20.500.12619/2871" rel="alternate"/>
<author>
<name>M. Dundar</name>
</author>
<author>
<name>Fıçıcı, Ferit</name>
</author>
<author>
<name>Özen, Fatih</name>
</author>
<author>
<name>Ünal, Hüseyin</name>
</author>
<id>https://hdl.handle.net/20.500.12619/2871</id>
<updated>2020-02-12T13:15:20Z</updated>
<published>2017-01-01T00:00:00Z</published>
<summary type="text">Investigation of the Delamination Factor of Glass Sphere and Silicon Particle Reinforced (GS-SCR) Hybrid Composite Material
M. Dundar; Fıçıcı, Ferit; Özen, Fatih; Ünal, Hüseyin
Reinforced polymer composite materials have opened a new era because they can substitute the conventional metallic materials. These materials have found numerous usage areas, especially in aviation, military and space applications due to such advantages as the high tensile strength, high modulus, high corrosion resistance and low density. However, during the assembly of parts from these materials, a huge amount of holes is required. There are problems during machining of reinforced polymer composite materials. Main reason behind these problems is the inhomogeneous microstructure. Some of these problems are burr, pullout, swelling, microcrack, rapid tool wear and delamination. Among the most important of these defects is the delamination damage. Delamination is a severe drilling failure. In this work, three different cutting speeds (15, 20, 25 m/min), three different feed rates (0.05, 0.10, 0.15 mm/rev) and three different cutting tool materials (Carbide, TiN Coated HSS and HSS) have been used. Effect of different feed rates, cutting speeds and tool materials on delamination is studied by drilling of % 10 glass sphere- and % 10 silicon particle-reinforced polypropylene hybrid composite material.
</summary>
<dc:date>2017-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Epilepsy diagnosis using artificial neural network learned by PSO</title>
<link href="https://hdl.handle.net/20.500.12619/2867" rel="alternate"/>
<author>
<name>Nesibe Yalcin</name>
</author>
<author>
<name>Gulay Tezel</name>
</author>
<author>
<name>Karakuzu, Cihan</name>
</author>
<id>https://hdl.handle.net/20.500.12619/2867</id>
<updated>2020-02-12T13:05:41Z</updated>
<published>2015-01-01T00:00:00Z</published>
<summary type="text">Epilepsy diagnosis using artificial neural network learned by PSO
Nesibe Yalcin; Gulay Tezel; Karakuzu, Cihan
Electroencephalogram (EEG) is used routinely for diagnosis of diseases occurring in the brain. It is a very useful clinical tool in the classification of epileptic seizures and the diagnosis of epilepsy. In this study, epilepsy diagnosis has been investigated using EEG records. For this purpose, an artificial neural network (ANN), widely used and known as an active classification technique, is applied. The particle swarm optimization (PSO) method, which does not need gradient calculation, derivative information, or any solution of differential equations, is preferred as the training algorithm for the ANN. A PSO-based neural network (PSONN) model is diversified according to PSO versions, and 7 PSO-based neural network models are described. Among these models, PSONN3 and PSONN4 are determined to be appropriate models for epilepsy diagnosis due to having better classification accuracy. The training methods-based PSO versions are compared with the backpropagation algorithm, which is a traditional method. In addition, different numbers of neurons, iterations/generations, and swarm sizes have been considered and tried. Results obtained from the models are evaluated, interpreted, and compared with the results of earlier works done with the same dataset in the literature.
</summary>
<dc:date>2015-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Reversible video watermarking using motion-compensated frame interpolation error expansion</title>
<link href="https://hdl.handle.net/20.500.12619/2866" rel="alternate"/>
<author>
<name>Vural, Cabir</name>
</author>
<author>
<name>Baraklı, Burhan</name>
</author>
<id>https://hdl.handle.net/20.500.12619/2866</id>
<updated>2020-02-12T13:04:36Z</updated>
<published>2015-01-01T00:00:00Z</published>
<summary type="text">Reversible video watermarking using motion-compensated frame interpolation error expansion
Vural, Cabir; Baraklı, Burhan
In this study, a reversible video watermarking method based on motion-compensated frame interpolation error expansion is developed. Interframe correlation is exploited more efficiently as a result of using motion-compensated frame interpolation error instead of motion-compensated prediction error that is used in the current reversible video watermarking methods. For this reason, on the one hand the proposed method allows high-capacity data insertion to video; on the other hand, it causes small distortion in the original video. In the proposed method, the original video and watermark can be obtained reversibly from the watermarked video, and the amount of side information in the watermarked video required for watermark decoding and video restoration is extremely low. The method is shown to be superior to the existing methods in terms of capacity and visual video quality by performing computer simulations carried out for various widely used test video sequences.
</summary>
<dc:date>2015-01-01T00:00:00Z</dc:date>
</entry>
</feed>
