Yazar "Comlekciler, Ismail Taha" seçeneğine göre listele

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    Artificial 3-D contactless measurement in orthognathic surgery with binocular stereo vision
    (ELSEVIER SCIENCE BV, 2016) Comlekciler, Ismail Taha; Gunes, Salih; Irgin, Celal
    Stereo vision systems are utilized since it provides contactless measurements of objects in 3-D (threedimensional). Orthognathic surgery is a very sensitive operation that requires very high accuracy in measurements. The reduction of measurement error is an essential problem in orthognathic surgery. Moreover, quality inspection of the process during the course of operation aids the surgeon to avoid or minimize the mitigating circumstances. In this paper, artificial intelligence methods (neural network and neuro-fuzzy system) are used in order to increase the accuracy of positioning of jaws during the real-time practice. The comparison of artificial measurements with the real measurements shows that a statistically acceptable accuracy is achieved in 3-D positioning of teeth. (C) 2016 Elsevier B.V. All rights reserved.
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    Embedded Computer System Based Mobile Robots
    (IEEE, 2014) Comlekciler, Ismail Taha; Yilmaz, Nihat
    Design and software development of embedded computer- based robotic systems have been the main aim of this paper. For this aim, the Lego Mindstorms NXT robot platform which is supported by Microsoft Robotics Studio (MSRS) software development environment and equipped with ARM7 microprocessor, are used. Software development studies are made on it. Embedded computer systems are analysed generally and programming of these systems which are used in robotic studies are detailed. Therefore, experiments are made on two different software development environments which are written as following. NXT program developed for Mindstorms, Microsoft Robotics Studio analysed and Microsoft Visual Studio. Microsoft Robotics Studio is software development environments which is object based and uses drag and drop methods. For easy and rapid software development, lots of robot producers give support with software package to Robotics Studio which have physical simulation environment.
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    Measuring The Optimum Lux Value for More Accurate Measurement of Stereo Vision Systems in Operating Room of Orthognathic Surgery
    (IEEE, 2014) Comlekciler, Ismail Taha; Gunes, Salih; Irgin, Celal; Karlik, Bekir
    The successful orthognathic surgery is directly influenced by more accurate measurement of distance or size of the surgery area. There exist various methods of measurements during the orthognathic surgery. One of the newest methods is to make measurements by using stereo vision system with stereo cameras. The result of stereo vision is affected by many factors, such as captured image colour, glossiness, ambient light, geometry, etc. One of the most important influence factors is ambient light, especially on measuring distances with the value of microns (10-6 m). The stereo vision system's cameras are also influenced by ambient light and the objective of this paper is to investigate more accurate result of stereo vision according to the ambient light of the orthognathic surgery operation room.
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    Microcontroller Compatible Sealed Lead Acid Battery Remaining Energy Prediction Using Adaptive Neural Fuzzy Inference System
    (IEEE COMPUTER SOC, 2009) Akdemir, Bayram; Gunes, Salih; Comlekciler, Ismail Taha
    All over the world, many portable devices need battery to run. Every expert has to use efficient hardware and software documentation to make battery last longer and make a correlation between microcontrollers' duties and the remaining energy of batteries. In order to make battery last longer, battery information must be evaluated continuously. In many devices, fluctuating current is used due to its own load so alternating current makes it hard to compute the remaining battery level. For many devices, there could be battery level indicator as solution. This solution gives clue about the remaining time for user but it does not give any hint for microcontroller about battery situation. For low cost devices, it could be very difficult to estimate the remaining storage energy in the battery. In this study, microcontroller compatible sealed lead acid battery remaining energy predictor based on adaptive neural fuzzy inference system has been designed and proposed. In order to test proposed method, mean absolute error and leave one out have been used to measure proposed system performance. The obtained mean absolute error results for leave one out is 10.55, epoch error is 11.72. Through the study, low adaptive neural fuzzy inference system rules and low microcontroller memory consumption were aimed.