Person: YILDIZ, KAZIM
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YILDIZ
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KAZIM
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Publication Open Access A Web Based Clustering Analysis Toolbox (WBCA) design Using MATLAB(ELSEVIER SCIENCE BV, 2010) YILDIZ, KAZIM; Savas, Kenan; Yildiz, Kazim; Uzunboylu, HWith the development technology, datas which are saved in databases are rising, useful methods and kind of algorithms for making employable data and are build up for processing. For the solution of this problem data mining tools come into existence, to which clustering algorithms belong. For the clustering area this paper supposed to aid education, the tool was designed for clustering algorithms used easy and effective, cut down of the time that is making programme by the students so with the using of data sets that belongs to students, results of the clustering that was supported graphical items shown with the help of user interface and clustering must be so effective and easy. Purpose of this paper, MATLAB software that is used common by the academic area, making web based toolbox using clustering algorithms for the user. This toolbox use kmeans, agnes, fuzzy cmeans algorithms that are exist in MATLAB software and available web interface for the evaluate clustering results with cluster validity criteria. By courtesy of the toolbox, web user that do not need to have MATLAB software and programming knowledge but only a web browser and they can load their own data into the web server then see the result by the chose of algorithm and download the results their own local computers. In this design MATLAB Web Server (MWS) was used that belong to MATLAB software. With the help of this tool web users can send the parameters to server via the internet and the computer that has on the MWS software, used this then working MWS that is developed in this paper, results can have seen with the web server (C) 2010 Elsevier Ltd. All rights reserved.Publication Open Access Wavelet transform and principal component analysis in fabric defect detection and classification(PAMUKKALE UNIV, 2017) BULDU, ALİ; Yildiz, Kazim; Buldu, AliFabric defects are determined by quality control.staff in textile industry, This process cannot be performed objectively and it constitutes both time and cost difficulties, In this study the cashmere and denim lubric images which ure used often in textile industry ure tried in both detection and classification process. Quality control machine prototype has been manufactured then defected fabric images were obtained with the help of thermal imaging. The fabric defects were detected and classified by using the thermal images, Averagely 95% classification accuracy has been achieved on experiments for two different fabric types. According to the experimental results, the fabric quality control process can be muck after the drying and fixing, without any further quality control step.Publication Open Access Elliptic curve coding technique application for digital signature(WILEY-HINDAWI, 2016-11-25) BULDU, ALİ; Yildiz, Kazim; Buldu, Ali; Saritas, HasanAn elliptic curve coding technique application is proposed in this study. It is one of the asymmetric coding techniques and so crucial in today's world. The application codes messages between two different console screens by using elliptical curve coding technique. It is created by using C# with the class of Crypto Next Generation (CNG) which brings into consideration the messaging system as four different security levels. The aim is to use the necessary additional security precautions when using asymmetric techniques. Cryptography techniques are not used for connection, and messaging occurs in security level 1. Security level 2 describes the public channel for the connection between two console screens which is used for sending and receiving key pair; then messaging occurs. Public channel for the connection between two console screens is used for sending and receiving signed key pair and encrypted data; then messaging occurs in security level 3. Security level 4 is the safest one. A private channel for the connection between two console screens is used for sending and receiving a signed key pair and encrypted data, and then messaging occurs. In addition, Advanced Encryption Standard (AES) technique is used in applications which is one of the symmetric cryptographic techniques for encrypting data. Copyright (C) 2016 John Wiley & Sons, Ltd.Publication Metadata only A novel thermal-based fabric defect detection technique(TAYLOR & FRANCIS LTD, 2015) BULDU, ALİ; Yildiz, Kazim; Buldu, Ali; Demetgul, Mustafa; Yildiz, ZehraDuring the fabric production process, many defects can be occurred stemming from the unevenness in spinning, weaving, finishing processes, or from the raw materials. The fabric quality control process for the detection of these defects is carried out by specialist operators. In this paper, a new method based on the use of thermal camera for detecting these defects from the textile fabric images is presented. For identification process of defective area, fabric images were obtained by a thermal camera during the fabric flow in quality control machine that was specially designed for this experiment. Defective and defect-free regions on fabric surface were determined by thermal camera due to the thermal differences. The mentioned thermal defect detection system will eliminate the worker usage for fabric quality control process, thus it will provide a cost-effective and competitive manufacturing.Publication Metadata only A thermal-based defect classification method in textile fabrics with K-nearest neighbor algorithm(SAGE PUBLICATIONS INC, 2016) BULDU, ALİ; Yildiz, Kazim; Buldu, Ali; Demetgul, MustafaIn this study, fabric defects have been detected and classified from a video recording captured during the quality control process. Fabric quality control system prototype has been manufactured and a thermal camera was located on the quality control machine. The defective areas on the fabric surface were detected using the heat difference occurring between the defective and defect-free zones. Gray level co-occurrence matrix is used for feature extraction for defective images. The defective images are classified by k-nearest neighbor algorithm. The image processing stage consists of wavelet, threshold, and morphological operations. The defects have been classified with an average accuracy rate of 96%. In addition, the location of the defect has been identified and the defect type and location are recorded during the process via specially designed image processing interface. According to the experimental results, the proposed method works effectively.Publication Open Access Classification of Textures Using Filter Based Local Feature Extraction(E D P SCIENCES, 2016) YILDIZ, KAZIM; Bocekci, Veysel Gokhan; Yildiz, Kazim; Sikora, A; Choi, B; Wang, SIn this work local features are used in feature extraction process in image processing for textures. The local binary pattern feature extraction method from textures are introduced. Filtering is also used during the feature extraction process for getting discriminative features. To show the effectiveness of the algorithm before the extraction process, three different noise are added to both train and test images. Wiener filter and median filter are used to remove the noise from images. We evaluate the performance of the method with Naive Bayesian classifier. We conduct the comparative analysis on benchmark dataset with different filtering and size. Our experiments demonstrate that feature extraction process combine with filtering give promising results on noisy images.Publication Open Access Application of image processing for quantization and characterization of fabrics with polymeric coatings(PAMUKKALE UNIV, 2018) YILDIZ, KAZIM; Yildiz, Kazim; Yildiz, ZehraIn this study, the dispersion quality of particles on polymeric coating formulations from cotton fabric surfaces was investigated by using gray level co-occurrence matrix and fractal dimension. Coating formulations with various nano particle inclusions were applied on cotton fabrics. The flame retardant property of coated fabrics were examined by thermal gravimetric analysis (TGA). Images from the coated fabric surfaces were obtained by using optical microscopy and then these images were used in gray level and fractal dimension feature extraction processes. The microscopic images of the coated fabrics in various particle amounts were analyzed by using the image processing technique, and then classification and quantization processes were performed. The results of the image processing were compared to the results of TGA. The sample containing 5% montmorillonite (MMT) was found as having the best coating quality level by using feature extraction method in image processing. The average classification performance among all the samples was found as 92.5%.Publication Open Access Fault detection of fabrics using image processing methods(PAMUKKALE UNIV, 2017) ÜLKÜ, EYÜP EMRE; Yildiz, Kazim; Demir, Onder; Ulku, Eyup EmreThis paper presents a computer aided detection (CAD) system which uses wiener filter based approach for detection of defects in poplin fabric. The defective fabric images are taken with the help of the digital camera. The developed system consists of three phases, including preprocessing, segmentation and detection of fabric defect In preprocessing phase, a RGB to gray level conversion and image enhancement operations were applied to digital camera images. In segmentation phase, background of the gray level image segmented using morphologic operations. Then, segmented image was converted to binary image to facilitate fabric defect detection process. Fabric defect detection was performed using wiener filter in the detection phase of the system. Wiener filter is applied to binary level image to eliminate structures which are not defect The developed detection system applied on defective poplin images for detection. The obtained results on different kinds of fabric defects show that the proposed algorithm gives promising results.Publication Metadata only Hand-Held Spectrophotometer Design for Textile Fabrics(AMER INST PHYSICS, 2017) YILDIZ, KAZIM; Bocekci, Veysel Gokhan; Yildiz, Kazim; Perova, TIn this study, a hand-held spectrophotometer was designed by taking advantage of the developments in modern optoelectronic technology. Spectrophotometer devices are used to determine the color information from the optic properties of the materials. As an alternative to a desktop spectrophotometer device we have implemented, it is the first prototype, low cost and portable. The prototype model designed for the textile industry can detect the color tone of any fabric. The prototype model consists of optic sensor, processor, display floors. According to the color applied on the optic sensor, it produces special frequency information on its output at that color value. In Arduino type processor, the frequency information is evaluated by the program we have written and the color tone information between 0-255 ton is decided and displayed on the screen.Publication Open Access A Circuit Design by Using an Infrared Sensor Transmitter and Pic16f628 to Measure the Pulse Rate of the Driver(SAGE PUBLICATIONS LTD, 2016-07) BULDU, ALİ; Buldu, Ali; Yildiz, KazimThis study involves a circuit which is made in order to prevent traffic accidents caused by tiredness of the driver and sleepiness. Infrared light emitting diode and infrared phototransistor are used to track driver's body values during vehicle driving. The pulse value, which can increase or decrease directly proportional to the heart rate, can be controlled with the help of this infrared light emitting diode and infrared phototransistor. Peripheral interface controller is used in the construction of the system. The blood pressure was transformed to an electronic signal with infrared receiver and infrared transmitter by checking the heartbeats. This electronic signal was processed with peripheral interface controller and the system was constructed. In application, the pulse rate of the driver is continuously measured, and these values are shown on a small display permanently. It is installed on a portable steering wheel which can be used in the automotive industry. The process of waking the driver up can be made by raising the voice of music and with the vibration of the seat.