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    Classification of Hand-Drawn Circuit Components by Considering the Analysis of Current Methods
    (Institute of Electrical and Electronics Engineers Inc., 2020) Gunay M.; Koseoglu M.
    In this paper, at first, existing classification methods for classifying hand drawn circuits and circuit components are briefly introduced by examining advantages and disadvantages of each classification method. The handled methods are Support Vector Machine method (SVM), nearest neighbor method (KNN) and convolutional neural network method (CNN). Then, in the experimental part of the study, four different hand-drawn circuit components, which are diode, capacitor, resistor and ac voltage source, have been tried to be classified by using CNN method which is a highly recommended classification method in literature. The classification tables and graphics have been presented for the performed study. According to the obtained results and accuracy rate, it is concluded that CNN method can be used reliably to achieve high performance in the classification of hand-drawn circuit components. © 2020 IEEE.
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    Drying process of apple slices in low frequency electromagnetic field
    (Blue Eyes Intelligence Engineering and Sciences Publication, 2019) Memmedov A.; Koseoglu M.; Karadag T.
    In this study, the heat and mass transfer equations for porous organic materials have been derived by using “two port model” and “pi theorem”, and consistency of the derived equations were analyzed by considering the processes with and without electromagnetic waves. Some theoretical and experimental investigations have been performed to determine the effect of electromagnetic fields on the drying process of porous materials and calculation of concentration profiles. Also the molecular and diffusion coefficients have been analyzed empirically by using experimental results. In the experiments, apple slices were used as porous organic material. The samples were exposed to electromagnetic waves at different frequency values. For better analysis of drying process, the experiments were conducted at different temperatures and periods. It was observed that results obtained by derived semi-empirical equations have been agreed with experimental results. It is seen that the diffusion coefficient has important role in drying process and should be determined experimentally for accurate results. © BEIESP.
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    Performance Evaluation of Different Window Functions for Audio Fingerprint Based Audio Search Algorithm
    (Institute of Electrical and Electronics Engineers Inc., 2020) Uyanik H.; Koseoglu M.
    Window functions are structures that are frequently used to increase the quality of the transformation when processing the signal in the time-frequency domain, especially when creating the spectrogram of the signal. In calculations for frequency information, Fourier transforms of short-time samples of the signal are transformed into spectrogram data with the help of window functions, and then operations are performed by using these data. In this study, the performance of three different window functions, which are used in obtaining spectrogram data in the algorithm developed for audio fingerprint-based audio recognition, have been tested under different artificial noise conditions. The results of these three different window functions were compared graphically, and a truth table was obtained based on the analyzed database. As a result of the simulations carried out in MATLAB, it has been observed that the hanning window function gives better spectral results for different noise levels, and accordingly it produces better matching results compared to the other two window functions as reported in former studies on different applications. In addition, some improvements about window length have been added into algorithm to obtain better results. © 2020 IEEE.
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    Space charge formation in non-cristalline polymers and GaSe by DBD in SF6 medium
    (2008) Alisoy H.Z.; Yeroglu C.; Koseoglu M.
    In this study, we investigate the formation mechanism of space charges in PI-Polyimide, PTFE-Polytetrafluoroethylene, PET - Polyethylene Terephtalate and GaSe(Sn) - GaSe dopped with (0.05at%) Sn which are exposed to dielectric barrier discharge (DBD) in SF6 medium. The expressions for the concentration of trapped electrons in materials, electrical field strength and total charge are derived by solving total current equation at stationary state. Space charges are determined experimentally by using thermally stimulated depolarization current (TSDC) method, and TSDC spectrums are illustrated for investigated materials. © 2008 IEEE.