Browsing by Author "Bayindir, Hakan"

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An Adaptive Element Division Algorithm for Accurate Evaluation of Singular and Near Singular Integrals in 3d
(Tubitak Scientific & Technological Research Council Turkey, 2021) Bayindir, Hakan; Baranoglu, Besim; Yazici, Ali; Software Engineering; Manufacturing Engineering; 06. School Of Engineering; 01. Atılım University
An adaptive algorithm for evaluation of singular and near singular integrals in 3D is presented. The algorithm is based on successive adaptive/selective subdivisions of the element until a prescribed error criteria is met. For evaluating the integrals in each subdivision, Gauss quadrature is applied. The method is computationally simple, memory efficient and can be applied for both triangular and quadrilateral elements, including the elements with nonplanar and/or curved surfaces. To assess the method, several examples are discussed. It has shown that the algorithm performs well for singular and near-singular integral examples presented in the paper and evaluates the integrals with very high accuracy.
Citation - WoS: 3
An Agent-based Trading Infrastructure for Combinatorial Reverse Auctions
(Ieee, 2014) Bayindir, Hakan; Kilic, Hurevren; Rehan, Mohammed; Computer Engineering; 06. School Of Engineering; 01. Atılım University
A Combinatorial Reverse Auction Trading Infrastructure - CRATI is designed and implemented as an agent-based system. Two basic building blocks Java Agent Development Framework (JADE) and an Open Source Java Constraint Programming Library (Choco Solver) are used to facilitate agent interactions and an optimization task. For our purpose, it is shown that auction Winner Determination Problem (WDP) can suitably be represented as a weighted set covering problem instance whose solution gives the decided winners of the auction process. In order to realize the system, a variation of Contract Net protocol is designed and implemented to handle auctions that occur in the platform from start to finish.
Citation - WoS: 7
Citation - Scopus: 15
Lossless Text Compression Technique Using Syllable Based Morphology
(Zarka Private Univ, 2011) Akman, Ibrahim; Bayindir, Hakan; Ozleme, Serkan; Akin, Zehra; Misra, Sanjay; Computer Engineering; Computer Engineering; 06. School Of Engineering; 01. Atılım University
In this paper, we present a new lossless text compression technique which utilizes syllable-based morphology of multi-syllabic languages. The proposed algorithm is designed to partition words into its syllables and then to produce their shorter bit representations for compression. The method has six main components namely source file, filtering unit, syllable unit, compression unit, dictionary file and target file. The number of bits in coding syllables depends on the number of entries in the dictionary file. The proposed algorithm is implemented and tested using 20 different texts of different lengths collected from different fields. The results indicated a compression of up to 43%.