Bilgisayar Programcılığı Programı / Computer Programming
https://hdl.handle.net/20.500.12294/370
Bilgisayar Programcılığı Programına ait koleksiyonlar bu alt bölümde listelenir.
2024-03-29T07:28:12Z
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Gaussian Applications in Organic Structured Electronic Systems
https://hdl.handle.net/20.500.12294/3249
Gaussian Applications in Organic Structured Electronic Systems
Idman, Ebru; Idman, Emrah; Yildirim, Osman
The purpose of this research is to explore the molecular energy of organic structures in the form of nanoparticles with Gaussian W09 software. For this purpose, the structures of 2PANI ES-X in the literature were analyzed with Gaussian W09. Organic semiconductors have been explored since the last 60 years [1]. Ching W. Tang was first considered the father of organic electronics, since he found the organic light emitting diode (OLED) in the 1980s. Tang later broke ground to produce organic solar cells with his OLED research [2]-[3]. Subsequent studies investigated organic electroluminescence, organic photovoltaic cells, effective transistors that received organic thin film, and organic transistor models were developed [4]-[6]. It is known that they have the potential to be used in conductive polymers, sensors, energy converter, rechargeable batteries, photochemical cells, batteries and fuel cells, electrochromic tools and ion selective electrodes, and a protective cover against electromagnetic interference. In summary, conductive polymers will be the conductors of the future. © 2020 IEEE.
2020-01-01T00:00:00Z
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Solving asymmetric traveling salesman problem using genetic algorithm
https://hdl.handle.net/20.500.12294/2036
Solving asymmetric traveling salesman problem using genetic algorithm
Birtane Akar, Sibel; Şahingöz, O.K.
This study describes the genetic algorithm method that is most commonly used in search and optimization studies with solution approach of the asymmetric travelling salesman problem, which is the leading problem of the complex problems and a different model of the traveling salesman problem. The proposed system has been put forward the test results and the system has been shown to provide an acceptable period of time with an effective solution environment. © 2015 IEEE.
2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 -- 16 May 2015 through 19 May 2015 --
2015-01-01T00:00:00Z
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A multi agent solution for UAV path planning problem with NetLogo
https://hdl.handle.net/20.500.12294/2010
A multi agent solution for UAV path planning problem with NetLogo
Çalık Kazdal, Seda; Kuğu, Emin; Birtane, Sibel; Şahingöz, Özgür Koray
Due to its low cost, small size, autonomous structure and high mobility, usage of the Unmanned Aerial Vehicles (UAVs) has been increasing over the last two decades. To construct an autonomous UAV, path planning is a crucial task to meet the objectives specified for the mission. Mainly, the purpose of path planning can be described as find the optimal path from a start point to the destination point to check necessary control points (CPs) while taking into consideration different operational constraints. While the number of CPs increases, constructing an optimal path is getting trivial, most of the researchers used evolutionary algorithms and/or swarm algorithms to reach a near optimal solution in an acceptable time. In this study, it is aimed to solve the UAV Path Planning problem with a swarm intelligence algorithm as Ant Colony Optimization Algorithm. To implement this algorithm with similar to the real world, each ant is aimed to implement as an autonomous agent, and the proposed system is implemented on NetLogo, which is a multi-agent programmable modeling environment for simulating real World problems. The experimental results showed that the proposed system produces an acceptable solution in a limited time. © Research India Publications.
#nofulltext# --- Birtane, Sibel (Arel Author)
2016-01-01T00:00:00Z
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İnsansız Hava Araçları ile Büyük Ölçekli Kablosuz Algılayıcı Ağlardan Veri Toplanması
https://hdl.handle.net/20.500.12294/1985
İnsansız Hava Araçları ile Büyük Ölçekli Kablosuz Algılayıcı Ağlardan Veri Toplanması
Birtane, Sibel; Şahingöz, Özgür Koray
Nowadays, with the developing technology, the use of Unmanned Aerial Vehicles (UAVs) has become quite common. With the increase in the use of UAVs in the military and civilian area, the studies in UAVs are also increasing. Minimizing the costs and improving safety play an important role in the development of these systems according to different terms of use. UAV route planning is quite a difficult problem when multiple tasks exist that contain the multiple target point and also considering the constraints of the environment. The aim of this study is to achieve appropriate route planning with UAVs in a Wireless Sensor network environment, to collect data on the nodes. In MATLAB, implementation is reviewed with genetic algorithm method in a three-dimensional radar threatened environment. And obtained results shows that the proposed model is fast and produce an acceptable solution. © 2016 IEEE.
24th Signal Processing and Communication Application Conference, SIU 2016 -- 16 May 2016 through 19 May 2016 --
2016-01-01T00:00:00Z