Yazar "Erdogan, Kemal" seçeneğine göre listele

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    Formation Morphing of Multi-Robots Using Graph Theory: Fugitive Chasing
    (INT ASSOC ENGINEERS-IAENG, 2015) Erdogan, Kemal; Korkmaz, Mehmet; Durdu, Akif; Yilmaz, Nihat; Topal, Sebahattin
    In this study, it is considered the case of chasing escapers using graph theory method with multi robots, which are connected to each other. In this simulation study the fugitives are trying to escape from a campus region which has five possible gates for entrance and exit. Because of not determining the possible escape ways of fugitives, it is hard to obtain useful results from police or security chase in a quick time. In this approach, some security robots are waiting in stand-by position to get a new command for positioning in a specified area. Happening of any undesired case, robots are informed by an operator which gate is the alarmed gate. At this point, multi-robots are positioned by using graph theory if the communication range is appropriate to connect each other. This imaginary scenario is supposed to take place in the campus of Selcuk University. There are five gates in the campus that are used for vehicle and pedestrian entrance and exit. For any unusual events similar to this simulation like shooting or robbery, security robots would be alarmed. After alarm case, the backup team would be sent to the gates to start the aerial chasing of escapers.
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    Intention Recognition Using Leap Motion Controller and Artificial Neural Networks
    (IEEE, 2016) Erdogan, Kemal; Durdu, Akif; Yilmaz, Nihat
    Intention recognition is an important topic in the field of Human Robot Interaction. If the robot is wanted to make counter movements just in time according to human's actions, a robotic system must recognize the intention of the human necessarily. In this paper, a method for a robotics system to estimate the human's intention is presented. In our method, the information is provided from the sensor called as leap motion controller device. The decision about the tendency of human intention is made by Artificial Neural Network. A scenario has been designed that a human subject tries to pile the boxes on each other. The main point for this robotic system and the scenario is to recognize the intention as which box would be held by the subject.
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    The theory of legal clinic in education of law
    (ELSEVIER SCIENCE BV, 2015) Uyumaz, Alper; Erdogan, Kemal
    The Legal Clinic, as a definition, is to teach law students how they can use their abstract and theoretical information while solving juridical disputes. Although the idea of legal clinic dates back to the past, the notion of legal clinic is a recent one. It is the reason of emerging of legal clinic that law students must get in touch with practical law comprised of activities of courts and disputes among people. About legal clinic, institutions were established and books were written in developed countries. Thus, law students became skilful at carrying out what they learn at their faculties. Nevertheless, this method being valued very much at an international level is not, unfortunately, implemented in Turkey. Hence, law students in Turkey are graduated from their faculties with only theoretical information. Consequently, they cannot make use of their information when they faced with real cases and a disconnection between theory and practice shows up. Here, this study deals with activities necessary to implement legal clinic in Turkey. In this way, the law students will learn how to use their theoretical information in practice and the partway to justice will become easy and fast(2). (C) 2015 The Authors. Published by Elsevier Ltd.