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Article FTD grammar graph(TAYLOR & FRANCIS LTD, 2003) F. Ünlü; Ünlü, FArticle FTD grammar graph(2003) Fevzi Ünlü; Ünlü, FevziThe notations of (1) KBO: Knowledge Based Object (2) FTD: Formally Technology Dependent (3) WW KBO: Window Womb KBO (4) PL KBO: Programming Language KBO (5) APM KBO: Abstract Processing Machine KBO and (6) AIPM KBO: Abstract Information Processing Mechanism KBO were studied in Ünlü [1-3]. Let the meaning of an arbitrarily chosen X:= 〈X0 X X+〉 KBO representation be recursively X takes the value of X0 in the initial states or the value of X in the present states or the value of X+ in the next states.1 This paper introduces finds or develops the following abstract tools on an objective u KBO in an organization 0 = (W u.W u u.E E TB) KBO in an arbitrary u.W KBO in a WW KBO type W: (1) A FTD formal grammar type G:= 〈G 0 G G+) KBO (2) A FTD formal grammar graph type gG:= 〈gG0 gG gG+〉 KBO (3) An AIPM KBO type Algorithm A for translating from a FTD formal grammar type G KBO to a formal graph type gG KBO and an inverse Algorithm B for translating vise versa. (4) A via-state dependent differential operator D:= 〈D0 D D +〉 and a via-state dependent integral operator I:= (I 0 I I+) on the FTD formal grammar graph type gG. (5) A horizon type H KBO on a FTD formal grammar graph gG KBO and a frame type F on a FTD formal grammar G KBO. (6) A FTD contemporary Science Frame cSF S = (S w Su.w Su Su.E SE STB) KBO model on the objective u KBO in u.W in W via D and I. (7) A result that it can be stated as "a FTD formal grammar type G via its FTD formal grammar graph gG under D and I is a formal abstraction mechanism to produce a FTD contemporary Science Frame cSF type S KBO science model on an objective u in u.W in W". © 2008 Elsevier B.V. All rights reserved.Conference Object The Use of Information Technologies in Special Education for Preparation of Individual Education Programs(WORLD ACAD SCI ENG & TECH-WASET, 2005) Yasar Guneri Sahin; Mehmet Cudi Okur; Sahin, Yasar Guneri; Okur, Mehmet Cudi; C ArdilIn this presentation we discuss the use of information technologies in the area of special education for teaching individuals with learning disabilities. Application software which was developed for this purpose is used to demonstrate the applicability of a database integrated information processing system to alleviate the burden of educators. The software allows the preparation of individualized education programs based on the predefined objectives goals and behaviors.Article Medical image compression by using Vector Quantization Neural Network (VQNN)(2006) Bekir KarlikThis paper presents a lossy compression scheme for biomedical images by using a new method. Image data compression using Vector Quantization (VQ) has received a lot of attention because of its simplicity and adaptability. VQ requires the input image to be processed as vectors or blocks of image pixels. The Finite-state vector quantization (FSVQ) is known to give better performance than the memory less vector quantization (VQ). This paper presents a novel combining technique for image compression based on the Hierarchical Finite State Vector Quantization (HFSVQ) and the neural network. The algorithm performs nonlinear restoration of diffraction-limited images concurrently with quantization. The neural network is trained on image pairs consisting of a lossless compression named hierarchical vector quantization. Simulations results are presented that demonstrate improvements in visual quality and peak signal-to-noise ratio of the restored images. © ICS AS CR 2006. © 2008 Elsevier B.V. All rights reserved.Article Citation - WoS: 1Citation - Scopus: 1Software-assisted preparation and assessment of individual education plans for disabled individuals(CURRENT SCIENCE ASSN, 2006) Yasar Guneri Sahin; Sahin, Yasar GuneriThis article deals with the use of a computer software in special education. Preparation of Individual Education Plan (IEP) and assessment of predefined IEP are the most important stages in the area of special education for teaching individuals with learning disabilities. A special application software which was developed for this purpose is used to demonstrate the applicability of a database-integrated information processing system to alleviate the burden on educators. The software allows preparation of individualized education programmes based on predefined objectives and behaviours and assessment of school and family trainings of students. The software has a user-friendly interface and its design includes graphical tools.Article Feedback network controls photoreceptor output at the layer of first visual synapses in Drosophila(ROCKEFELLER UNIV PRESS, 2006) L Zheng; GG Polavieja; V Wolfram; MH Asyali; RC Hardie; M JuusolaAt the layer of first visual synapses information from photoreceptors is processed and transmitted towards the brain. In fly compound eye output from photoreceptors (R1 - R6) that share the same visual field is pooled and transmitted via histaminergic synapses to two classes of interneuron large monopolar cells (LMCs) and amacrine cells (ACs). The interneurons also feed back to photoreceptor terminals via numerous ligand-gated synapses yet the significance of these connections has remained a mystery. We investigated the role of feedback synapses by comparing intracellular responses of photoreceptors and LMCs in wild-type Drosophila and in synaptic mutants to light and current pulses and to naturalistic light stimuli. The recordings were further subjected to rigorous statistical and information-theoretical analysis. We show that the feedback synapses form a negative feedback loop that controls the speed and amplitude of photoreceptor responses and hence the quality of the transmitted signals. These results highlight the benefits of feedback synapses for neural information processing and suggest that similar coding strategies could be used in other nervous systems.Conference Object Citation - WoS: 13Medical Image Compression by Using Vector Quantization Neural Network (VQNN)(ACAD Sciences Czech Republic, Inst Computer Science, 2006) Karlik, BekirThis paper presents a lossy compression scheme for biomedical images by using a new method. Image data compression using Vector Quantization (VQ) has received a lot of attention because of its simplicity and adaptability. VQ requires the input image to be processed as vectors or blocks of image pixels. The Finite-state vector quantization (FSVQ) is known to give better performance than the memory less vector quantization (VQ). This paper presents a novel combining technique for image compression based on the Hierarchical Finite State Vector Quantization (HFSVQ) and the neural network. The algorithm performs nonlinear restoration of diffraction-limited images concurrently with quantization. The neural network is trained on image pairs consisting of a lossless compression named hierarchical vector quantization. Simulations results are presented that demonstrate improvements in visual quality and peak signal-to-noise ratio of the restored images.Conference Object The effectiveness of the five-year development plans on the development of the construction sector(2006) Begüm Sertyeşilışık; Sertyeşilişik, BegümWith the increase in competition competitive advantage becomes even more important for the survivability of the companies. Due to their influence on the orientation of companies the effectiveness of the five-year development plans are important to achieve a competitive advantage for the companies. The materials sector plays an important role in Turkish industry and economy in general. As was emphasized by Güneş et al. (2004: 44) construction material production has a 10% share in Turkish industry. Focusing on iron-steel glass ceramic and cement sectors the purposes of this study are: to provide information to the companies about the sector to contribute to the companies in their effort to evaluate future opportunities and threats to contribute the survivability and competitiveness of the companies. A literature survey on strategic plans and state development plans was carried out. Within the scope of the research relevant statistics obtained from State Statistic Institute and Central Bank of Republic of Turkey were analyzed. Possible future developments of the material sector were also focused upon. In order to understand how five year development plans are perceived by the construction companies and also what the opinions of the Turkish construction companies are about why these plans can not be accomplished wholly as they were planed a questionnaire was prepared and applied to the companies which are members of the Turkish Contractors' Association (TCA). The literature survey indicated that the material industry was effected by the 2002 economic crises in Turkey and other ongoing economic fluctuations. The answers given in the questionnaire indicated that the companies do not think that the five year development plans are entirely accomplished. The research revealed that although the five year development plans could not be entirely accomplished and even though they are not efficient enough they still provided a guide to the companies so that the industries could overcome the difficulties emerging from the 2002 economic crises. The research also concluded that there is a need to increase the efficiency and effectiveness of the five year development plans. © 2012 Elsevier B.V. All rights reserved.Article Citation - WoS: 59Citation - Scopus: 78Artificial neural network-based prediction technique for wear loss quantities in Mo coatings(Elsevier Science SA, 2006) Hakan Çetinel; Hasan Öztürk; Erdal Çelik; Bekir Karlik; Çelik, Erdal; Karlik, Bekir; Öztürk, Hasan; Çetinel, HakanMo coated materials are used in automotive aerospace pulp and paper industries in order to protect machine parts against wear and corrosion. In this study the wear amounts of Mo coatings deposited on ductile iron substrates using an atmospheric plasma-spray system were investigated for different loads and environment conditions. The Mo coatings were subjected to sliding wear against AISI 303 counter bodies under dry and acid environments. In a theoretical study cross-sectional microhardness from the surface of the coatings loads environment and friction test durations were chosen as variable parameters in order to determine the amount of wear loss. The numerical results obtained via a neural network model were compared with the experimental results. Agreement between the experimental and numerical results is reasonably good. © 2006 Elsevier B.V. All rights reserved. © 2008 Elsevier B.V. All rights reserved.Article Endüstriyel Pazarlamada Müşteri Tatmini ve Ölçümü: Bir Kavramsallaştırma Çabası(2006) Osman GökPazarlama alanında pazara ve müşteriye odaklı yaklaşımların geniş kabul görmesiyle birlikte müşteri tatmini kavramına olan ilgi artarak sürmektedir. Endüstriyel pazarlarda firmalararasi ilişkiler tüketici pazarlarına göre çoğu durumda daha yakın yoğun uzun dönemli ve sosyal yönleri olan kapsamlı bir alışveriş ortamı içerirler. Endüstriyel pazarların kendine özgü bu şekilde bir alış-veriş ortamı oluşturması endüstriyel tatmin kavramının oluşumu anlaşılması ve ölçülmesi bakımından tüketici tatmininden ayrışan önemli farkları da beraberinde getirmektedir. Çalışmada endüstriyel müşteri tatmini kavramına ilişkin uygun ve güçlü bir tanıma ulaşılmaya çalışılmaktadır. Endüstriyel müşteri tatmini kavramı, müşterinin alışveriş değişkenlerini etkileyebildiği bir ortamda tedarikçinin ilişki süresince gösterdiği ekonomik ve sosyal değişkenlere ilişkin performansın belli müşteri örgüt üyeleri tarafından karmaşık bir bilgi işleme süreci halinde biriktirilmesi ve değerlendirilmesi sonucunda oluşan bir çıktıdır. Bir ölçümleme süreci olarak ele alındığında ise Müşteri Tatmini Ölçümü (MTÖ) analitik davranışsal ve örgütsel boyutları olan ve bu boyutlar arasında bir uyumun gerektiği karmaşık bir süreçtir. Bu yönleriyle çalışma endüstriyel müşteri tatmini olgusu ve ölçümü konusunda kapsamlı bir kavramsallaştırma çabası içermektedir.Article Measure on time scales with mathematica(SPRINGER-VERLAG BERLIN, 2006) Unal Ufuktepe; Ahmet Yantir; VN Alexandrov; GD VanAlbada; PMA Sloot; J DongarraIn this paper we study the Lebesgue Delta-measure on time scales. We refer to [3 4] for the main notions and facts from the general measure and Lebesgue Delta integral theory. The objective of this paper is to show how the main concepts of Mathematica can be applied to fundamentals of Lebesgue Delta- and Lebesgue Delta- measure on an arbitrary time scale and also on a discrete time scale whose rule is given by the reader. As the time scale theory is investigated in two parts by means of alpha and rho operators we named the measures on time scales by the set function DMeasure and NMeasure respectively for arbitrary time scales.Conference Object Citation - WoS: 3Citation - Scopus: 4A novel mobile epilepsy warning system(SPRINGER-VERLAG BERLIN, 2006) Ahmet Alkan; Yasar Guneri Sahin; Bekir Karlik; Alkan, Ahmet; Karlik, Bekir; Sahin, Yasar Guneri; A Sattar; BH KangThis paper presents a new design of mobile epilepsy warning system for medical application in telemedical environment. Mobile Epilepsy Warning System (MEWS) consists of a wig with a cap equipped with sensors to get Electroencephalogram (EEG) signals a collector which is used for converting signals to data Global Positioning System (GPS) a Personal Digital Assistant (PDA) which has Global System for Mobile (GSM) module and execute Artificial Neural Network (ANN) software to test current patient EEG data with pre-learned data and a calling center for patient assistance or support. The system works as individual sensors obtain EEG signals from patient who has epilepsy and establishes a communication between the patient and Calling Center (CC) in case of an epileptic attack. MEWS learning process has artificial neural network classifier which consists of Multi Layered Perceptron (MLP) neural networks structure and back-propagation training algorithm.Conference Object A novel mobile epilepsy warning system(Springer Verlag, 2006) Ahmet Alkan; Yasar Guneri Sahin; Bekir KarlikThis paper presents a new design of mobile epilepsy warning system for medical application in telemedical environment. Mobile Epilepsy Warning System (MEWS) consists of a wig with a cap equipped with sensors to get Electroencephalogram (EEG) signals a collector which is used for converting signals to data Global Positioning System (GPS) a Personal Digital Assistant (PDA) which has Global System for Mobile (GSM) module and execute Artificial Neural Network (ANN) software to test current patient EEG data with prelearned data and a calling center for patient assistance or support. The system works as individual sensors obtain EEG signals from patient who has epilepsy and establishes a communication between the patient and Calling Center (CC) in case of an epileptic attack. MEWS learning process has artificial neural network classifier which consists of Multi Layered Perceptron (MLP) neural networks structure and back-propagation training algorithm. © Springer-Verlag Berlin Heidelberg 2006. © 2021 Elsevier B.V. All rights reserved.Article Trading Systems, Foreign Direct Investment and Economic Growth: Evidence from Asean Countries(2006) Onwuka, Kevin Odulukwe; Baharumshah, Ahmad ZubaidiArticle Citation - WoS: 77Citation - Scopus: 82Feedback network controls photoreceptor output at the layer of first visual synapses in Drosophila(Rockefeller Univ Press, 2006) Lei Zheng; Gonzalo García De Polavieja; Verena Wolfram; Musa Hakan Asyali; Roger C. Hardie; Mikko A. Juusola; Wolfram, V; Polavieja, GG; Juusola, M; Zheng, L; Asyali, MH; De Polavieja, Gonzalo G.; Hardie, RCAt the layer of first visual synapses information from photoreceptors is processed and transmitted towards the brain. In fly compound eye output from photoreceptors (R1-R6) that share the same visual field is pooled and transmitted via histaminergic synapses to two classes of interneuron large monopolar cells (LMCs) and amacrine cells (ACs). The interneurons also feed back to photoreceptor terminals via numerous ligand-gated synapses yet the significance of these connections has remained a mystery. We investigated the role of feedback synapses by comparing intracellular responses of photoreceptors and LMCs in wild-type Drosophila and in synaptic mutants to light and current pulses and to naturalistic light stimuli. The recordings were further subjected to rigorous statistical and information-theoretical analysis. We show that the feedback synapses form a negative feedback loop that controls the speed and amplitude of photoreceptor responses and hence the quality of the transmitted signals. These results highlight the benefits of feedback synapses for neural information processing and suggest that similar coding strategies could be used in other nervous systems. © The Rockefeller University Press. © 2008 Elsevier B.V. All rights reserved., MEDLINE® is the source for the MeSH terms of this document.Review Citation - WoS: 107Gene expression profile classification: A review(BENTHAM SCIENCE PUBL LTD, 2006) Musa H. Asyali; Dilek Colak; Omer Demirkaya; Mehmet S. Inan; Asyali, Musa H.; Colak, Dilek; Demirkaya, Omer; Inan, Mehmet S.In this review we have discussed the class-prediction and discovery methods that are applied to gene expression data along with the implications of the findings. We attempted to present a unified approach that considers both class-prediction and class-discovery. We devoted a substantial part of this review to an overview of pattern classification/recognition methods and discussed important issues such as preprocessing of gene expression data curse of dimensionality feature extraction/selection and measuring or estimating classifier performance. We discussed and summarized important properties such as generalizability (sensitivity to overtraining) built-in feature selection ability to report prediction strength and transparency (ease of understanding of the operation) of different class-predictor design approaches to provide a quick and concise reference. We have also covered the topic of biclustering which is an emerging clustering method that processes the entries of the gene expression data matrix in both gene and sample directions simultaneously in detail.Article Software-assisted preparation and assessment of individual education plans for disabled individuals(2006) Yasar Guneri SahinThis article deals with the use of a computer software in special education. Preparation of Individual Education Plan (IEP) and assessment of predefined IEP are the most important stages in the area of special education for teaching individuals with learning disabilities. A special application software which was developed for this purpose is used to demonstrate the applicability of a database-integrated information processing system to alleviate the burden on educators. The software allows preparation of individualized education programmes based on predefined objectives and behaviours and assessment of school and family trainings of students. The software has a user-friendly interface and its design includes graphical tools. © 2008 Elsevier B.V. All rights reserved.Conference Object Effectiveness of web based PBL using course management technologies: A case study(2006) Havva Haciogullari Basak; Serdar Ayan; Basak, Havva H.; Ayan, SerdarMaritime education and training has typically focused on delivering practical courses for a practical vocation. In the modern environment maritime personnel now need to be more professional more open to change and more business-like in their thinking. This has led to changes in the education system that supports the maritime industries. Teaching thinking skills has become a major agenda for education. Problem Based Learning is a part of this thinking. Problem-Based Learning (PBL) within a web-based environment in the delivery of an undergraduate courses has been investigated. The effects was evaluated by comparing the performances of the students using the web-based PBL and comparing the outcomes with those of the traditional PBL. The outcomes of the experiments was positive. By having real life problems as focal points and students as active problem-solvers the learning paradigm would shift towards the attainment of higher thinking skills. © 2010 Elsevier B.V. All rights reserved.Article Artificial neural network-based prediction technique for wear loss quantities in Mo coatings(ELSEVIER SCIENCE SA, 2006) Hakan Cetinel; Hasan Ozturk; Erdal Celik; Bekir KarlikMo coated materials are used in automotive aerospace pulp and paper industries in order to protect machine parts against wear and corrosion. In this study the wear amounts of Mo coatings deposited on ductile iron substrates using an atmospheric plasma-spray system were investigated for different loads and environment conditions. The Mo coatings were subjected to sliding wear against AISI 303 counter bodies under dry and acid environments. In a theoretical study cross-sectional microhardness from the surface of the coatings loads environment and friction test durations were chosen as variable parameters in order to determine the amount of wear loss. The numerical results obtained via a neural network model were compared with the experimental results. Agreement between the experimental and numerical results is reasonably good. (c) 2006 Elsevier B.V. All rights reserved.Conference Object Measure on time scales with Mathematica(Springer Verlag, 2006) Unal Ufuktepe; Ahmet Yantir; Ufuktepe, Ünal; Yantir, AhmetIn this paper we study the Lebesgue Δ-measure on time scales. We refer to [3 4] for the main notions and facts from the general measure and Lebesgue Δ integral theory. The objective of this paper is to show how the main concepts of Mathematica can be applied to fundamentals of Lebesgue Δ- and Lebesgue ∇- measure on an arbitrary time scale and also on a discrete time scale whose rule is given by the reader. As the time scale theory is investigated in two parts by means of σ and ρ operators we named the measures on time scales by the set function DMeasure and NMeasure respectively for arbitrary time scales. © Springer-Verlag Berlin Heidelberg 2006. © 2015 Elsevier B.V. All rights reserved.
