Yaşar Becerkli

Yaşar Becerkli
Kocaeli University · Department of Computer Engineering

Professor

About

58
Publications
37,125
Reads
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865
Citations
Additional affiliations
February 2000 - present
Kocaeli University
Position
  • Professor
Description
  • Head of Department

Publications

Publications (58)
Article
Full-text available
Traffic accidents as a result of driver fatigue and drowsiness have caused many injuries and deaths. Therefore, driver fatigue detection and prediction system have been recognized as important potential research areas to prevent accidents caused by fatigue and drowsiness while driving. In this study, driver fatigue is determined by using behavior-b...
Article
Full-text available
This paper aims to examine the effect of fatigue caused by temporary/permanent physical characteristics on driver behavior and detect fatigue drivers as a result of the research. In this context, the driver was monitored by fixed cameras in daylight conditions. Driver fatigue detection system was developed to use yawning for fatigue detection and c...
Article
Full-text available
In order for traffic management and information systems to provide proper traffic flow, it is necessary to obtain information about traffic with the help of various sensors. In this context, in recent years the use of video cameras in traffic observation and control has become very widespread and actively used. Numerous studies such as license plat...
Article
Full-text available
Changes and progresses in information technologies have played an important role in the development of intelligent vehicle systems in recent years. Driver fatigue is an important factor in vehicle accidents. For this reason, traffic accidents involving driver fatigue and driver carelessness have been followed by researchers. In this article, a Mult...
Article
Full-text available
Major reasons for traffic accidents all over the world are mostly because of drivers' fatigue and lack of concentration. In this study, the detection and tracking of the drivers' faces in video based images were realized by using AdaBoost algorithm. The eye area was detected by using Principle Component Analysis (PCA). A predictive system was devel...
Article
The global need for water is increasing. Water must be used more economically in order to be sustainable. Water consumption per capita in Turkey is below the world regarding its geographical location. Manual reading water meters are inconvenient and time-consuming, they have low accuracy, they are very slow and resource wasting. Using wireless comm...
Chapter
Full-text available
Intelligent traffic management systems needs to obtain information about traffic with different sensors to control the traffic flow properly. Traffic surveillance videos are very actively used for this purpose. In this paper, we firstly create a vehicle dataset from an uncalibrated camera. Then, we test Tiny-YOLO real-time object detection and clas...
Conference Paper
Full-text available
Video gözetimi; güvenlik, kolluk kuvvetleri ve trafik izleme gibi önemli uygulama alanlarına sahiptir. Araçların tespiti ve sınıflandırılması, AUS'de kullanılabilen trafik istatistiklerinin ve değerli bilgilerin toplanmasında yardımcı olur. Bu çalışmada, gerçek zamanlı araç sınıflandırmasını inceledik ve YOLO gerçek zamanlı nesne sınıflandırma çerç...
Conference Paper
Full-text available
Today, Human face detection algorithms, digital video processing, video detection, computer vision etc. are used in many applications. There are different applications for face detection and many methods in studies. It has gained importance to know which face detection method will be used. This study aims to detect the number of the faces in an ima...
Article
Full-text available
Nowadays, image processing applications are frequently preferred in such fields as industrial automation, security, health, and traffic control in parallel with the developments in technology. The most important criterion for the applications used in these fields is to ensure the system to run at high speed and real time. Thus, FPGAs are commonly u...
Conference Paper
This paper presents the basics of an operating systems plus RTOS(Real Time Operating System) specific features. Readers are expected to have an overview of the foundations of embedded operating systems and especially RTOS. Operating systems have been evaluated by different commercial and non profit organizations. It can be seen the main lines of di...
Conference Paper
While visualizing three dimensional (3D) structure of the coronary arteries, the projectory X-ray images can produce 3D tree of them up to a certain accuracy level with a lower dose of radiation when compared to computer tomography (CT). Here, in this study a novel and complete automatic system is designed which covers preprocessing, segmentation,...
Article
Full-text available
Levenberg-Marquardt (LM) algoritması yapay sinir ağlarının eğitiminde sağlamış olduğu hız ve kararlılık nedeni ile tercih edilmektedir. Bu çalışmada yapay sinir ağı (YSA) eğitiminin LM algoritması ile kayan noktalı sayı formatında donanımsal olarak FPGA’da gerçeklenmesi sunulmuştur. Donanımsal gerçekleme ISE Webpack10.1 programı kullanılarak Xilinx...
Article
Automatic quantitative analysis of brain tissues has a high importance. However, lack of high precision still makes results unreliable. This paper presents a novel system which separates cortical GM from WM. It imitates human perception like edge detection algorithms but recovers their disability in segmentation. System is fully automatic and unsup...
Article
To demonstrate a novel automatic slice-positioning technique based on three new anatomical landmarks and to standardize prospective scans by lowering rotational and translational variances. After defining the interpeduncular fossa corner and the eyeball centers as landmarks, they are manually labeled on 25 different T1 MRI scans. New scans are prod...
Article
Wavelet transformation is widely used for image de-noising. In this article an improvement of image de-noising algorithm by authority of Zhang and Salary is presented. Method proposed in this paper performs image de-noising by a properly trained artificial neural networks (ANN) in wavelet domain. For better quality of de-noising, multi-scale wavele...
Article
Brain extraction is pre-processing step for quantitative analysis of biomedical images. Precision at brain extraction is not solved by current techniques especially on T2 MRI towards top of the brain where challenging non-brain tissues appear like coastal band and there is a trade-off between precision and speed. Moreover, full automaticity obligat...
Article
Estimation of the plaque area in intravascular ultrasound images after extraction of the media and plaque–lumen interfaces is an important application of computer-aided diagnosis in medical imaging. This paper presents a novel system for fully automatic and fast calculation of plaque quantity by capturing the surrounding ring called media. The syst...
Article
In this study, linear programming and integer programming methods and their application areas are discussed, and these methods are implemented to stock cutting problem. In the application a new approach is used on solution of two dimensional stock cutting problem and performance of new method is compared to the other methods. The aim of application...
Article
The edge detection is one of the most important tasks in the image processing area. The edges in the image can be defined as sudden gray level transition. In other words edges are the high frequency components of the images. At the same time, random noises have also same attributes. Thus distinguishing the edges from the noises is one of the most c...
Article
Full-text available
A distributed parameter model was developed to predict the drying behaviour of granular baker's yeast by setting up material and heat balances at the particle level. Temperature and moisture gradients were calculated for cylindrical and spherical granules. The performance of the model with two granule sizes was compared with experimental measuremen...
Article
Full-text available
This paper presents dynamic neural-network-based model-predictive control (MPC) structure for a baker's yeast drying process. Mathematical model consists of two partial nonlinear differential equations that are obtained from heat and mass balances inside dried granules. The drying curves that are obtained from granule-based model were used as train...
Conference Paper
The first aim of our methods developed in our structure is, to detect license plate zone from image of vehicle which has standard license plate. Second step is to get noiseless character image from license plate zone. Third step is to recognize the characters from image by neural network based system. The target of this type systems are automatical...
Article
In this paper, we propose a time delay dynamic neural network (TDDNN) to track and predict a chaotic time series systems. The application of artificial neural networks to dynamical systems has been constrained by the non-dynamical nature of popular network architectures. Many of the drawbacks caused by the algebraic structures can be overcome with...
Article
In this paper, a fuzzy controller for an inverted pendulum system is presented in two stages. These stages are: investigation of fuzzy control system modeling methods and solution of the “Inverted Pendulum Problem” by using Java programming with Applets for internet based control education. In the first stage, fuzzy modeling and fuzzy control syste...
Article
This study presents a nonlinear systems and function learning by using wavelet network. Wavelet networks are as neural network for training and structural approach. But, training algorithms of wavelet networks is required a smaller number of iterations when the compared with neural networks. Gaussian-based mother wavelet function is used as an acti...
Chapter
Full-text available
Floating point operations, which find their applications in vast areas such as many mathematical optimization methods, digital signal and image processing algorithms, and Artificial Neural Networks (ANNs), require much area and time for ordinary implementation on Field Programmable Gate Arrays (FPGAs). However, meaningful floating point arithmetic...
Article
Full-text available
A nonlinear predictive control technique is developed to determine the optimal drying profile for a drying process. A complete nonlinear model of the baker's yeast drying process is used for predicting the future control actions. To minimize the difference between the model predictions and the desired trajectory throughout finite horizon, an object...
Conference Paper
Full-text available
The usage of the FPGA (Field Programmable Gate Array) for neural network implementation provides flexibility in programmable systems. For the neural network based instrument prototype in real time application, conventional specific VLSI neural chip design suffers the limitation in time and cost. With low precision artificial neural network design,...
Article
This paper describes the development of a neural network (NN) based adaptive flight control system for a high performance aircraft. The main contribution of this work is that the proposed control system is able to compensate the system uncertainties, adapt to the changes in flight conditions, and accommodate the system failures. The underlying stud...
Article
In this study, a fuzzy rule-based optimal controller is designed for nonlinear dynamical systems. The direct second order method (or direct-descend-curvature algorithm) with a modification called “modified descend controller (MDC)” is used for calculating the parameters of the fuzzy feedback controller. The optimal control problem defined here has...
Article
This paper presents a direct descent second order or direct descent curvature algorithm with some modifications for the optimal control computations. This algorithm is compared with Hamiltonian methods in the literature. The proposed algorithm has generated numerically robust solutions with respect to conjugate points. The weighting matrix updating...
Article
Full-text available
Fuzzy logic and neural networks are two important technologies for modeling and control of dynamical systems and have been constrained by the non-dynamical nature of their some popular architectures. There exist problems such as large rule bases (i.e., curse of dimensionality), long training times, the need to determine buffer lengths. This article...
Conference Paper
In this paper, the aim is to solve the effect of a filter on an input signal by using fuzzy logic. We used the characteristic of lowpass filter for this application. If the input frequencies are very high, it will be reduced. We obtained a rule-base for emulating this characteristic. Two methods are used for this problem. In the first method, fuzzy...
Conference Paper
Full-text available
An edge detection is one of the most important tasks in image processing. Image segmentation, registration and identification are based on edge detection. In the literature, there is some techniques developed to achive this task such as Sobel, Prewitt, Laplacian and Laplacian of Gaussian. In this paper, a novel knowledge-based approach which have b...
Conference Paper
In this paper we examine modeling of a nonlinear system using wavelet networks. Wavelet networks are similar to neural networks for the structure and the learning approach. But training algorithms for wavelet networks require a smaller number of iterations when compared with neural networks. Also interpretation of the model with neural networks is...
Article
Intelligent systems cover a wide range of technologies related to hard sciences, such as modeling and control theory, and soft sciences, such as the artificial intelligence (AI). Intelligent systems, including neural networks (NNs), fuzzy logic (FL), and wavelet techniques, utilize the concepts of biological systems and human cognitive capabilities...
Conference Paper
Full-text available
A mathematical model was enveloped to describe the drying process of microorganism pellets in a fluidized bed dryer. The modeling of heat and mass transfer between air and the pellets in fluidized bed dryers is based on application of temperature and diffusion equations inside the pellets. These equations were nonlinear partial differential equatio...
Article
Fuzzy logic systems have been recognized as a robust and attractive alternative to some classical control methods. The application of classical fuzzy logic (FL) technology to dynamic system control has been constrained by the nondynamic nature of popular FL architectures. Many difficulties include large rule bases (i.e., curse of dimensionality), l...
Article
Generalized modeling principles of a nonlinear system with a dynamic fuzzy network (DFN)—a network with unconstrained connectivity and with dynamic fuzzy processing units called ‘feurons’, have been given. DFN model has been trained both in open loop and closed loop forms to satisfy these principles. Several system trajectories with a PRBS input ha...
Conference Paper
This paper presents nonlinear filtering using dynamic neural networks (DNNs). In addition, the general usage of linear filtering structure is given. DNN which has a quasi-linear structure has been effectively used as a filter with fast training algorithm such as Levenberg-Marquardt method. The test results are shown that the performance of DNN as l...
Article
Full-text available
The application of neural networks technology to dynamic system control has been constrained by the non-dynamic nature of popular network architectures. Many of difficulties are-large network sizes (i.e. curse of dimensionality), long training times, etc. These problems can be overcome with dynamic neural networks (DNN). In this study, intelligent...
Conference Paper
This study presents a nonlinear dynamical system modeling with dynamic wavelet networks (DWNs). Wavelet is widely used in processing of signals and data. It has been also shown that wavelet can be effectively used in nonlinear system modeling. For this, dynamic wavelet networks (DWNs) structure based on Hoppfield networks has been developed. DWN ha...
Conference Paper
Exothermic continuously stirred tank reactor (CSTR) has a nonlinear behavior and often does not respond well to standard linearized system analysis. The purpose of this work is to point out, by examples, some of the difficulties of CSTR which may arise from disturbances in feed temperature and concentration. To overcome these problems nonlinear opt...
Conference Paper
The application of artificial neural networks to dynamical systems has been constrained by the non-dynamical nature of popular network architectures. Many of the difficulties that ensue-large network sizes, long training times, the need to predetermine buffer lengths-can be overcome with dynamic neural networks. The minimization of a quadratic perf...
Article
The edge detection on the images is so important for image processing. There are different methods for improving edge detection. Here, it is shown that edge detection can be realized using artificial neural network (ANN) with noise. Supervised learning method with momentum is used. Laplacian edge detector is a teacher of artificial neural network....

Projects