Yazar "Unver, H. Murat" seçeneğine göre listele

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    Analysis of the effect of construction parameters on energetic and exergetic efficiency of induction air heaters
    (Inderscience Enterprises Ltd, 2018) Unver, Umit; Yuksel, Fikret; Kelesoglu, Alper; Yuksel, Ahmet; Unver, H. Murat
    This study is concerned with the energy and exergy efficiency analysis of a novel air heater that operates with induction principle. The aim of this paper is investigation of the energy and the exergy efficiency augmentation of the new K-1 induction air heater prototype. Energy and exergy performance of the K-1 prototype was analysed and compared with the previous K-0 prototype. The analyses were performed with experimental study and with computational fluid dynamics (CFD) simulations. The new design boosted the energy efficiency about 22.98%. The exergy efficiency was calculated to be around 11.5% max. The CFD simulation results showed that a 1 m/s increase in the inlet velocity yields 3.1% and 0.06% augmentation in the energy and the exergy efficiency respectively. The inlet temperature increase negatively affects the energy and the actual exergy efficiencies. It was concluded that efficiencies of these heaters can be enhanced with more appropriate construction.
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    The Android Malware Static Analysis: Techniques, Limitations, and Open Challenges
    (Ieee, 2018) Bakour, Khaled; Unver, H. Murat; Ghanem, Razan
    This paper aims to explain static analysis techniques in detail, and to highlight the weaknesses and challenges which face it. To this end, more than 80 static analysis based framework have been studied, and in their light, the process of detecting malicious applications has been divided into four phases that were explained in a schematic manner. Also, the features that is used in static analysis were discussed in detail by dividing it into four categories namely, Manifest-based features, code-based features, semantic features and app's metadata-based features. Also, the challenges facing methods based on static analysis were discussed in detail. Finally, a case study was conducted to test the strength of some known commercial antivirus and one of the stat-of-art academic static analysis frameworks against obfuscation techniques used by developers of malicious applications. The results showed a significant impact on the performance of the most tested antiviruses and frameworks, which is reflecting the urgent need for more accurately tools.
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    Introduction of a Novel Design Approach for Tunnel-Type Induction Furnace Coil for Aluminium Billet Heating
    (Springer Heidelberg, 2018) Unver, H. Murat; Unver, Umit; Kelesoglu, Alper
    In this paper, a user-friendly algorithm was developed by analysis of induction heating of aluminium in a radial direction using analytic, numerical and experimental methods. The aim of this study was to investigate the design data required for the coil and the power supply. The mathematical model of the heating process was simplified into one dimension. The general equation of heat conduction was solved analytically in cylindrical coordinates. The results are validated with the results of experimental and numerical methods. In the study, it is seen that the radial temperature distribution can be modelled with a second-degree equation with a 7% error rate. An important benefit of this paper is the homogenization time coefficient that is a useful tool for calculating the total resting time. Finally, a basic and user-friendly method was described to investigate the length of a tunnel-type induction furnace coil design.
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    An Intrusion Detection System Based on a Hybrid Tabu-Genetic Algorithm
    (Ieee, 2017) Bakour, Khaled; Das, Gulesin Sena; Unver, H. Murat
    In this paper, we proposed a framework for detecting network's intrusions using Genetic Algorithm (GA) with multiple criteria. First of all, we build an intrusion detection system (IDS) using a pure GA with multiple selection methods. Then, we proposed one of the few hybrid algorithms in the literature, which is hybridized using a GA and a Tabu search (TS) algorithm. The proposed hybrid algorithm and the pure GA were tested to detect malicious traffic using DARPA dataset. The test results revealed that the proposed hybrid algorithm gives a higher Detection Rate (DR) and Detection Accuracy (AC) compared to the pure GA.