Pakize Erdogmus

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Reactive power optimization (RPO) is an important issue for providing the secure and economic run of the power systems. The importance of reactive power planning on economic profit and secure running has been increasing, because of the increasing fuel costs and investment funds. It is also quite important for an electric operator to provide voltage in a(More)
Simulated Annealing and Genetic Algorithm are two well-known metaheuristic algorithms for combinatorial optimization. These two methods have also been used for solving constrained continuous problems. In this study, five constrained continuous problems have been solved both Simulated Annealing (SA) and Genetic Algorithm (GA). Optimum results have been(More)
The segmentation process is defined by separating the objects as clustering in the images. The most used method in the segmentation is k-means clustering algorithm. k-means clustering algorithm needs the number of clusters, the initial central points of clusters as well as the image information. However, there is no preliminary information about the number(More)
Pointers are one of the most difficult to understand topics in programming courses. Since the topic is some virtual, the students of computer science face with difficulties in understanding. They hardly imagine the addresses of memory cells, their contents, and the pointers pointing to those memory cells. To test the knowledge and to reinforce the(More)
Speech processing is based on time and frequency properties of signal. Originally, speech is an analog signal, but it is converted to digital signal for processing in computer. And it is an array for computer. In this study, it has been studied Turkish letters' time and frequency domain analysis as statistically in Matlab and Excel. And the interesting(More)
The computer science students mostly face with the difficulties in learning the topics of algorithms courses. Only listening the topic from the teacher or just writing makes the learning volatile. Instead of listening or writing, if there is something visual, it would be more permanent to learn because visuality increases the learning potential and the time(More)
Clustering is dividing a dataset into subsets that has similar characteristics. In this study, fuzzy c-means clustering algorithm (FCM) and a new evolutionary optimization algorithm, Backtracking Search (BSA) algorithm, were combined and a new hybrid clustering algorithm (BSAFCM) was proposed. Moreover, the local search abilities of the new algorithm was(More)
Network education given in the universities and in the other education areas constitutes the backbone of computer science. This education is provided not only in theoretical form but also in the practical way. Since it is hard to settle some information of computer networks in learners' mind practices are the necessary activities of learning process. As the(More)
This study is a case study for modelling and solving a real-life problem. In this study, a practical approximation for finding an optimum location of a foundation was realized with k-means clustering and optimization. Duzce, in the northwest of Turkey, has been researched for the biogas potential to found biogas plant. With this aim, the number of poultry(More)