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Öğe Classification of haploid and diploid maize seeds by using image processing techniques and support vector machines(Institute of Electrical and Electronics Engineers Inc., 2018) Altuntas Y.; Kocamaz A.F.; Cengiz R.; Esmeray M.In vivo maternal haploid technique is now widely used in advanced maize breeding programs. This technique shortens the breeding period and increases the efficiency of breeding. One of the important processes in this breeding technique is the selection of haploid seeds. The fact that this selection is performed manually reduces the selection success and causes time and labor loss. For this reason, it is a need to develop automatic selection methods that will save time and labor and increase selection success. In this study, a method was proposed to classify haploid and diploid maize seeds by using image processing techniques and support vector machines. Firstly, each maize seed is segmented from its original image. Secondly, five different features were extracted for each maize seed. Finally, obtained features vector is classified by using support vector machines. The proposed method performance was tested by 10-fold cross-validation method. As a result of the test, the success rate of haploid maize seed classification was calculated as 94.25% and the success rate of diploid maize seed classification was 77.91%. © 2018 IEEE.Öğe Cloud based indoor navigation for ros-enabled automated guided vehicles(Institute of Electrical and Electronics Engineers Inc., 2019) Okumus F.; Kocamaz A.F.In Cyber-Physical Systems, logistical activities with automatic guided vehicles (AGV) are indispensable for Industry 4.0 integration. In order to navigate the AGVs to be used in logistics, difficulties such as localization of AGV, mapping the environment, mobile-immobile obstacle avoidance, and optimum task allocation must be overcome. All these operations can be realized with an architecture that provides communication infrastructure and management mechanism in multiple robots. In this publication, cloud-based, ROS-enabled communication and navigation methods for multiple AGVs are proposed. The proposed method was tested and applied successfully in a laboratory environment. © 2019 IEEE.Öğe Determination of potential flooding of inebolu basin by cn method with a gis-based software(Institute of Electrical and Electronics Engineers Inc., 2019) Katmerlikaya S.; Kurucak G.; Dabanli A.; Kocamaz A.F.; Sarica O.O.; Dogan A.; Baltaci E.Inaccurate planning and methods of land cover / use occurring in the basins increase the intensity and frequency of flood events. The fact that floods are predictable before they occur is of great importance for preventive activities. Therefore, modeling of the basin; plays an important role in planning and developing local resources. In this study, flooding in İnebolu basin of Kastamonu province is modeled. In this context, GIS-based, flexible and user-friendly grid-based software is developed. Surface water retention capacity and the amount of water flowing on the surface were calculated for each grid. Thus, flood formation areas could be determined in the region where the study was carried out. © 2019 IEEE.Öğe Determination of QT interval on synthetic electrocardiogram(Institute of Electrical and Electronics Engineers Inc., 2015) Comert Z.; Kocamaz A.F.Electrocardiography is widely used for diagnosis and assessment of cardiovascular diseases. Heart rate is a major determinant of ventricular action potential. Therefore, the QT interval varies to be inversely proportional to heart rate. The need of the calculation and correction of the QT interval arises from this situation. In this study, synthetic electrocardiography signals have been passed through a preprocessing process and reduction of noise has been provided by using principal component analysis. Then, signal features have been extracted and finally QT intervals have been analyzed with Bazett method. © 2015 IEEE.Öğe The influences of different window functions and lengths on image-based time-frequency features of fetal heart rate signals(Institute of Electrical and Electronics Engineers Inc., 2018) Comert Z.; Boopathi A.M.; Velappan S.; Yang Z.; Kocamaz A.F.In the clinical practice, the fetal distress conditions such as hypoxia are detected routinely during antepartum and even intrapartum periods with the help of electronic fetal monitoring device, often called Cardiotocography (CTG). Due to the noticeable advances in signal processing, pattern recognition, machine learning techniques and the introduction of the quantitative diagnostic indices, the automated CTG analysis has become a quite essential tool. In this study, we come up with a new investigation on the influences of different window functions on image-based time-frequency (IBTF) features of fetal heart rate (FHR) signals for fetal hypoxia detection. In addition to the traditionally used morphological features, the spectrogram images provided by Short Time Fourier Transform (STFT) were taken into account with different windows functions such as Hamming, Hann, Kaiser, and Blackman as well as different windows lengths. Then, the spectrogram images were converted into 8-bits grayscale images and IBTF features were obtained using Gray Level Co-occurrence Matrix (GLCM). At the end of the feature extraction stage for signal representation, we achieved a quite large feature set, and we employed genetic algorithm (GA) and support vector machine (SVM) classifier in order to reveal the most relevant features. The whole experiments were performed on an open CTU-UHB intrapartum CTG database. The experimental results show that the IBTF features have relatively increased the classification performance. All window functions ensured encouraging results. Furthermore, the GA ensured the determination of the 7 most relevant features. Thus, the dimension of feature space was reduced from 28 to 7. Moreover, the classification success increased. Consequently, the most efficient performances (Quality Index = 73.45%) were achieved with Hamming and Kaiser window functions. © 2018 IEEE.Öğe Lojistik-singer harita tabanli yeni bir kaotik sürü optimizasyon yöntemi(Institute of Electrical and Electronics Engineers Inc., 2019) Demir F.B.; Tuncer T.; Kocamaz A.F.Many problems in daily life cannot be solved by using classical mathematical methods for having an infinite solution space. Therefore, it is recommended to use meta-heuristic optimization methods that reduce the infinite solution space and based on the mathematical prediction principle in solving similar problems. In order to increase the performance of meta-heuristic optimization methods, number generator and chaotic maps are used. In this article, a new method of chaotic optimization has been developed and logistic and singer maps are used in the proposed optimization method. In order to test the performance of the proposed method, 6 different benchmarking functions and 3 different swarm-based optimization methods were used. The proposed method has produced more optimum results for all functions. In this way, it has been tried to prevent the integration of swarm optimization methods into local solutions. © 2019 IEEE.Öğe A novel software for comprehensive analysis of cardiotocography signals "CTG-OAS"(Institute of Electrical and Electronics Engineers Inc., 2017) Cömert Z.; Kocamaz A.F.The research interest in fetal heart rate (FHR) monitoring dates back to the 1960s, and the breakthrough on fetal surveillance has been seen during the 1990s with computerized systems. Notwithstanding the general use of cardiotocography (CTG) in fetal monitoring, the assessment of fetal well-being exhibits a significant inter- and even intraobserver variability. Computerized CTG analysis has seen as the most promising way to tackle of the main shortcomings of visual CTG assessment. In this study, a novel software developed for research purposes is introduced. The software named as CTG Open Access Software (CTG-OAS) characterizes FHR signals by using comprehensive features obtained from different fields such as morphological, linear, nonlinear, time-frequency, discrete wavelet transform, and image-based time-frequency domains. The software also covers the main procedures which are necessary for the context of machine learning. More specifically, CTG-OAS presents several tools for performing the preprocessing, feature extraction, feature selection, and classification processes. The proposed software was practiced on CTU-UHB database with 552 raw CTG samples. In addition, a case study with Support Vector Machine classifier was performed in the study via CTG-OAS. According to experimental results, statistical parameters were obtained as accuracy equal to 87.97%, sensitivity equal to 89.04%, specificity equal to 81.36% and, quality index equal to 85.11%. © 2017 IEEE.Öğe Robot control with graph based edge measure in real time image frames(Institute of Electrical and Electronics Engineers Inc., 2016) Donmez E.; Kocamaz A.F.; Dirik M.Robotic path plan extraction is one of the major study area focused with image processing techniques except from estimation based methods, in real time robotic systems. In this study; I. First phase: It is aimed to track a mobile robot and target point by detecting start and target points in real time image frames, continually. II. Second phase: It is aimed to exhibit a novel sensor free kinematic model to determine power ratio transferred to the left and right wheels of the robot with decision tree method by utilizing a graph based method on detected object points. Right and left wheel position, robot center and labeled target positions are acquired with thresholding method by using labels placed on robot. A graph has been created on an image by admitting all detected areas as nodes. The processes of orientating and delivering mobile robot to the target position has been modelled according to distance values of edges between wheels and target. © 2016 IEEE.
