Kazan Meslek Yüksekokulu / Kazan Vocational School

Permanent URI for this collectionhttps://hdl.handle.net/11727/2077

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    Status of the Albanian Muslims in Greece During the Population Exchange on the Basis of the Minutes of Lausanne Conference and the Reports of the Embassy of Albania in Athens
    (2017) Ozcan, Halil
    The Subcommittee of Population Exchange at Lausanne Conference addressed the exchange topic in twelve sessions between January, 11, 1923 and January 30, 1923. The convention and protocol concerning the exchange between populations of two countries were signed on January 30, 1923 by the Turkish and Greek Governments. Accordingly, it was decided to conduct compulsory population exchange between the "Turkish nationals of Greek Orthodox religion" who had domiciled in Turkish territories and the "Greek nationals of Muslim religion" who had domiciled in Greek territories. Despite Greece provided all assurances at Lausanne Conference and afterwards, it took action to exchange the Albanian Muslims, who lived in Epirus-Chameria region where almost all of the population was Muslim with the immigrant Greeks who came from Anatolia, due to the fact that the Albanian Muslims were "Greek nationals with Muslim religion." During this period, Mid'hat Frasheri was assigned to the Embassy of Albania in Athens on January 1923. The Ambassador discussed the situation of the Albanian Muslims in Greece, with the authorities, the League of Nations, the Mixed Exchange Committee, the Turkish authorities and mainly the Greek authorities. Mid'hat Frashri sent approximately 200 reports, which included these discussions to the Albanian Ministry of Foreign Affairs.
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    NUMERICAL STABILITY OF RBF APPROXIMATION FOR UNSTEADY MHD FLOW EQUATIONS
    (2019) Gurbuz, Merve; Tezer-Sezgin, M.
    In this study, the radial basis function (RBF) approximation is applied for solving the unsteady fluid flow and magnetohydrodynamic (MHD) convection flow problems with the use of explicit Euler time discretization and relaxation parameters to accelerate the convergence. The stability analysis is also carried out in terms of the spectral radius of related RBF discretized coefficient matrices. The optimal choices of the time increment, relaxation parameters and physical problem parameters are found for achieving stable solutions. It is observed that the maximum eigenvalues of the coefficient matrices decrease with an increase in the time increment when the relaxation parameters are decreasing. Although the time derivative is discretized using explicit Euler method, one does not need to use small time increment for obtaining stable results. The flow, isotherms and pressure behaviors are simulated at steady-state for several values of problem parameters using time increment and relaxation parameters which lead to stable solutions.
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    A Deep LSTM Approach for Activity Recognition
    (2019) Guney, Selda; Erdas, Cagatay Berke; 0000-0002-0573-1326; 0000-0003-3467-9923; AAC-7404-2020
    Since 1990s, activity recognition effectual field in machine learning literature. Most of studies that relevant activity recognition, use feature extraction method to achieve higher classification performance. Moreover, these studies mostly use traditional machine learning algorithms for classification. In this paper, we focus on a deep (Long Short Term Memory) LSTM neural network for feature free classification of seven daily activities by using raw data that collected from three-dimensional accelerometer. Based on the results, the proposed deep LSTM approach can classify raw data with high performance. The results show that the proposed deep LSTM approach achieved 91.34, 96.91, 88.78, 87.58 as percent classification performance in terms of accuracy, sensitivity, specificity, F-measure respectively.