Yazar "Kilic, Erdal" için listeleme
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An Automated Clustering Algorithm Based on Agglomerative Clustering
Karabina, Armagan; Kilic, Erdal (Ieee, 2016)The most important one of main problems for K-based clustering algorithm is randomly selected k parameter when running the algorithm. In this study, an automated clustering algorithm based on agglomerative clustering and ... -
A Bayesian Network Application in Occupational Health and Safety
Pekel, Ebru; Aksehir, Z. Duygu; Meto, Bilal; Akleylek, Sedat; Kilic, Erdal (Ieee, 2018)With the development of technology, there has been an increase in production and the number of accidents has increased. Progressive technology, the development of the industry and the lack of protective precaution, and the ... -
Classification of Breaking News Taken from the Online News Sites
Kilic, Erdal; Tavus, Mustafa Resit; Karhan, Zehra (Ieee, 2015)In this study, we aimed to provide access to the breaking news depending on the category to which the user wants. First, accessing to news in certain categories are provided from the news provider by using RSS (Really ... -
Comparison of ICA and PCA Methods for Transformer Internal Fault Studies
Ozgonenel, Okan; Kilic, Erdal (Ieee, 2008)Traditionally discrete Fourier transform, wavelet techniques etc. are used for numerical transformer protection. In this study two different techniques are suggested for this purpose. The techniques so called dynamical ... -
Comparison of the results of response surface methodology and artificial neural network for the biosorption of lead using black cumin
Bingol, Deniz; Hercan, Merve; Elevli, Sermin; Kilic, Erdal (Elsevier Sci Ltd, 2012)In this study, Response Surface Methodology (RSM) and Artificial Neural Network (ANN) were employed to develop an approach for the evaluation of heavy metal biosorption process. A batch sorption process was performed using ... -
Detection of Transformer Internal Faults by Using Independent Component Analysis
Kilic, Erdal; Ozgonenel, Okan (Ieee, 2007)In this work it is aimed to detect transformer internal fault and magnetizing inrush currents by using independent component analysis (ICA). A laboratory transformer is used for real-time experiments to examine the suggested ... -
Development of Experimental Results by Artificial Neural Network Model for Adsorption of Cu2+ Using Single Wall Carbon Nanotubes
Geyikci, Feza; Coruh, Semra; Kilic, Erdal (Taylor & Francis Inc, 2013)Removal of copper ions from aqueous solution using single wall carbon nanotubes (SWCNTs) as a function on pH was studied using batch technique. The results indicate that adsorption is strongly dependent on pH. The adsorption ... -
Diagnosability of fuzzy discrete event systems
Kilic, Erdal (Elsevier Science Inc, 2008)In this paper, discrete event systems (DESs) are reformulated as fuzzy discrete event systems (FDESs) and fuzzy discrete event dynamical systems (FDEDSs). These frameworks include fuzzy states, events and IF-THEN rules. ... -
DISCRETE WAVELET TRANSFORM BASED APPROACH for CURRENT TRANSFORMER SATURATION PROBLEM
Ozgonenel, Okan; Kilic, Erdal; Terzi, Uemit K. (Ieee, 2009)This work is about the possible effects of protection devices and schemes during current transformer saturation. If current transformer specifications are not selected properly, saturation may occur and affect relay response ... -
A fast and adaptive automated disease diagnosis method with an innovative neural network model
Alkim, Erdem; Gurbuz, Emre; Kilic, Erdal (Pergamon-Elsevier Science Ltd, 2012)Automatic disease diagnosis systems have been used for many years. While these systems are constructed, the data used needs to be classified appropriately. For this purpose, a variety of methods have been proposed in the ... -
Fault Detection in Induction Motors with Independent Component Analysis (ICA)
Guney, Irfan; Kilic, Erdal; Ozgonenel, Okan; Ulutas, Mustafa; Karadeniz, Erol (Ieee, 2009)In this study, the aim is to detect an induction motor's winding faults by using independent component analysis (ICA). Many laboratory experiments have been done on an induction motor to check the performance of the proposed ... -
Fault identification in induction motors with RBF neural network based on dynamical PCA
Kilic, Erdal; Ozgonenel, Okan; Ozdernir, Ali Ekber (Ieee, 2007)Early detection and diagnosis of incipient faults is desirable for on-line condition assessment, product quality assurance and improved efficiency of induction motors running off power supply mains. In the applications of ... -
Fault identification in transformers through a fuzzy discrete event system approach
Kilic, Erdal; Ozgonenel, Okan; Ulutas, Mustafa (Ieee, Electron Devices Soc & Reliability Group, 2007)A new fault detection and identification (FDI) scheme for transformer faults are suggested in this paper. The new method is based on fuzzy discrete event, from now FDES, composed from between a transformer's measured outputs ... -
Feature Selection in Text Classification
Sahin, Durmus Ozkan; Ates, Nurullah; Kilic, Erdal (Ieee, 2016)In recent years, text classification have been widely used. Dimension of text data has increased more and more. Working of almost all classification algorithms is directly related to dimension. In high dimension data set, ... -
From classic observability to a simple fuzzy observability for fuzzy discrete-event systems
Kilic, Erdal; Leblebicioglu, Kemal (Elsevier Science Inc, 2012)In order to determine uncertainties from restricted available information, fuzzy discrete-event systems (FDESs), or fuzzy discrete-event dynamic systems (FDEDSs), were recently proposed. These frameworks include fuzzy ... -
Identification of transformer internal faults by using an RBF network based on dynamical principle component analysis
Ozgonenel, Okan; Kilic, Erdal; Thomas, David; Ozdemir, Ali Ekber (Ieee, 2007)In this paper; a method is proposed to detect and identify parameter faults in nonlinear dynamical systems. The approach is based on the principal component analysis (PCA) and artificial neural networks (ANNs) based on ... -
Intelligent Mobile Drawing Platform
Kural, Oguz Emre; Kilic, Erdal (Ieee, 2016)In this study, basic steps which is necessary to develop a mobile educator platform for children were explained using SVM (Support Vector Machine) and mobile platforms. In this system based on Support Vector Machines, it ... -
Machine Learning Based Interactive Drawing Platform
Kural, Oguz Emre; Kilic, Erdal (Ieee, 2017)In this study, supporting mobile application based on machine learning in which the children can do drawing studies on basic geometric shapes is developed. Some feedback is provided to support the drawing of the children ... -
A mail discrimination study using network basis tools
Ozdemir, Murat; Kilic, Erdal (Ieee, 2016)Today, many methods used for the junk e-mail (spam) discrimination. For example, blacklists and some machine learning methods. Blacklists consists of IP addresses and domain names of spammers who previously sent e-mails ... -
Mass Segmantation on Mammograms Using Active Contours
Tunali, Ilke; Kilic, Erdal (Ieee, 2013)In this paper segmentation of benign and malignant masses found on mammograms were segmented. After adding low valued pixels outside of mammogram, Chan-Vese active contour algorithm with a new stopping criteria was ...
