Browsing by Author "Tolun, M.R."

Now showing 1 - 7 of 7

Citation - WoS: 0
Citation - Scopus: 2
An Application of Data Mining and Knowledge Discovery Process in the Field of Natural Gas Exploration
(Institute of Electrical and Electronics Engineers Inc., 2014) Acar, M.A.; Tolun, M.R.; Elbaşi, E.
Natural gas exploration has been shifting significantly in the last decades with the progression of new ingenious technologies. However, such technologies generates large amount of data sets and handling of them create problems such as interpretation of data. To solve such problems Data Mining techniques could be used. This work includes the application procedure of Data Mining and Knowledge Discovery to Natural Gas Well Log data using a set of algorithms and a decent Data Mining tool. And the success of each algorithm in terms of the amount of useful rules is compared.
Citation - Scopus: 0
Expert systems in access telecommunication networks
(2009) Şahin, S.; Tolun, M.R.; Baykal, Y.
Access telecommunication systems are categorized as digital subscriber line (xDSL), fiber-to-the-home (FTTH), hybrid fiber-coaxial (HFC), power line systems, local multipoint distribution system (LMDS), free space optics (FSO), satellite and worldwide interoperability for microwave access (WIMAX) systems. Basic specifications, such as the rate of information for upstream and downstream, access link length, frequency licence requirement for these access telecommunication networks are defined. Expert system analysis is applied to find out the possible systems that can be employed among the abovementioned choices of access telecommunication within the user defined inputs describing the requirements of the end user. The rule-based structure of the expert system is formed by using the Exsys expert system development tool. © 2008 IEEE.
Citation - Scopus: 0
Hand gesture recognition in variable length sequences
(2005) Choupani, R.; Tolun, M.R.; 1863
Using hand gestures in human computer interaction has been a major challenge during the recent years. Many of the hand gesture recognition systems however, have been based on the recognition of hand postures and estimating the related gesture which is restricted to a few numbers of possible movements. However when dealing with applications such as understanding sign languages which include a large number of classes, an automatic learning method based on matching a sequence of postures with the characterizing feature sequence of each class is necessary. An important characteristic of this method is that each sample sequence of a class may have a variable length and different position of the key features. In this paper a syntactic method has been proposed for classifying the input sequences. An algorithm foe extracting the grammar of the method during training stage is also given.
Citation - Scopus: 0
Main issues in scalable video coding: A review
(2007) Choupani, R.; Tolun, M.R.
Video streaming over the Internet has gained popularity during the recent years which is mainly the result of the introduction of videoconferencing and videotele-phony. These in turn have made it possible to bring to life many applications such as transmitting video over the Internet and over telephone lines, surveillance and monitoring, telemedicine (medical consultation and diagnosis at a distance), and computer based training and education. The heterogeneous, dynamic and best-effort structure of the Internet however, can not guarantee any specific bandwidth for a connection. Many video coding standards have tried to deal with this problem by introducing the scalability feature as adapting video streams to the fluctuations in the available bandwidths. In this review, we have discussed the main technical features of more common scalable video coding techniques. The main problems of these methods and their applicability together with the available motion compensated video coding methods are discussed as well.
Citation - WoS: 0
Citation - Scopus: 0
Production and Retrieval of Rough Classes in Multi Relations
(Ieee Computer Soc, 2007) Tolun, M.R.; Sever, H.; Gorur, A.K.
Organizational memory in today's business world forms basis for organizational learning, which is the ability of an organization to gain insight and understanding from experience through experimentation, observation, analysis, and a willingness to examine both successes and failures. This basically requires consideration of different aspects of knowledge that may reside on top of a conventional information management system. Of them, representation, retrieval and production issues of meta patterns constitute to the main theme of this article. Particularly we are interested in a formal approach to handle rough concepts. We utilize rough classifiers to propose a preliminary framework based on minimal term sets with p-norms to extract meta patterns. We describe a relational rule induction approach, which is called rila. Experimental results are provided on the mutagenesis, and the KDD Cup 2001 genes data sets. © 2007 IEEE.
Citation - Scopus: 0
Recent challenges in video coding and streaming
(2006) Choupani, R.; Tolun, M.R.; 1863
Video streaming over the Internet has gained popularity during the recent years which is mainly the result of the introduction of video-conferencing and videotelephony. These in turn have made it possible to bring to life many applications such as transmitting video over the Internet and telephone lines, surveillance and monitoring, telemedicine (medical consultation and diagnosis at a distance), and computer based training and education. These applications need a large bandwidth which is not available in all cases. Many video encoding standards have been introduced to deal with video compression and transmission problems. In this study, we have discussed the main technical features of the most important video coding standards in a comparative approach. The appropriateness of these features is application and transmission environment dependant. Manipulating video stream features or video transcoding methods are discussed as well.
Citation - Scopus: 0
Weighted embedded zero tree for scalable video compression
(2008) Choupani, R.; Wong, S.; Tolun, M.R.
Video streaming over the Internet has gained popularity during recent years mainly due to the revival of videoconferencing and videotelephony applications and the proliferation of (video) content providers. However, the heterogeneous, dynamic, and best-effort nature of the Internet cannot always guarantee a certain bandwidth for an application utilizing the Internet. Scalability has been introduced to deal with such issues (up to a certain point) by intelligently separating any information stream into multiple streams. The reception of one, several, or all stream influences the perceived quality of the information as basic, improved, or best, respectively. In addition, wavelet-based scalability combined with representation methods such as embedded zero trees (EZWs) improves the decode-ability of the stream even when only the initial part of the streams have been received. In this paper, we propose a method to improve on the compression rate of the EZW for scalability purposes by reducing the number of levels used in the tree. Therefore, the proposed method should be able to deal more efficiently with the mentioned scalability issues in low bandwidth network. Initial experimental show that the first two layers of the generated EZW are about 22.6% more concise.