研究者詳細 - 吉田　香

論文 - 吉田　香

分割表示113 件中 61 - 80 件目／全件表示 >>

Annealing Heuristic for Fair Wireless Channel Allocation by Exponential Ordered-Ordered Weighted Averaging Operator Maximization 査読有り

Mario Köppen, Kaori Yoshida, Masato Tsuru and Yuji Oie

2011 IEEE/IPSJ International Symposium on Applications and the Internet (SAINT 2011) 538 - 543 2011年07月

Interactive genetic algorithm for font generation system 査読有り

Yoshida K., Nakagawa Y., Köppen M.

2010 World Automation Congress, WAC 2010 2010年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

We suggest the font generation system consists of font definition phase and font creation phase. For font definition phase, the tool to export font element parameters represented by XML format has implemented. For font creation phase, the font creation application PALETTE (Personal Adapted LETTEr) has designed to emerge various fonts based on user's Kansei without hand drawing and developed as Adobe AIR application. It enables to generate a new font by selecting user's favorite fonts from displayed candidates, save font as an image according to users input text, and reuse stored font to the next font creation. To design PALETTE, we focused on Interactive Genetic Algorithm (IGA) technique to take user's subjective desire on font shape into the system. IGA is well known as a method to use user's subjective evaluation interactively. PALETTE has the following modules; (i) create new font candidates base on general font, or stored font characteristics with Kansei label, (ii) generate new fonts using genetic algorithm which can modify each element of the selected candidates, and (iii) export font image and save font characteristics. In this paper, we explain the font generation system and show the experimental results. © 2010 TSI Press.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78651447534&origin=inward

Fuzzification of maxmin fairness relation based on subvector dominance degree 査読有り

Köppen M., Yoshida K., Tsuru M.

Proceedings - 2nd International Conference on Intelligent Networking and Collaborative Systems, INCOS 2010 344 - 349 2010年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Maxmin fairness can be characterized as a state obtained from the application of the bottleneck flow control algorithm, allowing for a formally efficient definition of a fairness concept. But a number of problems with the related maxmin fairness vector relation, esp. non-uniqueness of the maximum, preference for improving least components, artefacts appearing in the discrete domain, and lack of numerical representation have already been noted. For this reason, we propose a fuzzy fairness, based on subvector dominance. The fuzzy fairness, here called subvector maxmin dominance degree, is based on the ratio of the number of all maxmin fair dominating subvectors to the number of all possible subvectors. It is shown how this definition extends the maxmin fairness relation, how it helps to solve the problems with maxmin fairness, and how it numerically emphasises fairness states against other states. © 2010 IEEE.

DOI： 10.1109/INCOS.2010.45

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79952091732&origin=inward

Fuzzification of Maxmin Fairness Relation based on Subvector Dominance Degree 査読有り

Mario Koppen,Kaori Yoshida and Masato Tsuru

Proc. of 2nd International Conference on Intelligent Networking and Collaborative Systems (INCoS2010) 2010年11月

Comparison of Evolutionary Multi-Objective Optimization Algorithms for the Utilization of Fairness in Network Control 査読有り

Mario Koppen,Rodrigo Verschae,Kaori Yoshida and Masato Tsuru

2010 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2010) 2010年10月

Partial user-supplied information and user modeling for improving QoS 査読有り

Rodrigo Verschae,Mario Koppen and Kaori Yoshida

Simulation Modelling Practice and Theory 19 ( 1 ) 47 - 55 2010年10月

Interactive Genetic Algorithm for Font Generation System 査読有り

Kaori Yoshida,Yuta Nakagawa and Mario Koppen

World Automation Congress (WAC2010) 2010年09月

Pattern Formation in Networks Inspired by Biological Development 査読有り

Ohnishi,Kei,Yoshida,Kaori and Koeppen,Mario

Arts and Technology 64 - 71 2010年04月

Heuristic Maxmin Fairness for the Wireless Channel Allocation Problem 査読有り

Mario Koppen,Rodrigo Verschae,Kaori Yoshida,Masato Tsuru

International Conference on Broadband, Wireless Computing, Communication and Applications 606 - 611 2010年04月

Folksonomical P2P File Sharing Networks Using Vectorized KANSEI Information as Search Tags 査読有り

Kei Ohnishi,Kaori Yoshida,and Yuji Oie

IEICE Transactions on Information and Systems E92-D ( 12 ) 2402 - -2415 2009年12月

Evolutionary Routing-Path Selection in Congested Communication Networks 査読有り

Mario Koppen,Kaori Yoshida,Masato Tsuru,Yuji Oie

2009 IEEE International Conference on Systems, Man, and Cybernetics 2224 - 2229 2009年04月

User modeling for improving QoS using partial user-supplied information 査読有り

Rodrigo Verschae,Mario Koeppen,Kaori Yoshida

The Second International Workshop on Information Network Design 2009年04月

Auxiliary Objectives for the Evolutionary Multi-Objective Principal Color Extraction from Logo Images 査読有り

Mario Koppen and Yutaka Kinoshita and Kaori Yoshida

Proc. of IEEE Congress on Evolutionary Computation pp. 3536 - 3542 2008年04月

User Modeling by Confabulation Theory 査読有り

Mario Koppen and Kaori Yoshida

Proc. Of IEEE Conference on Soft Computing in Industrial Applications pp. 55 - 59 2008年04月

Archiving Strategies for On-Line Decision Making in Evolutionary Multi-Objective Optimization 査読有り

Mario Koppen and Kaori Yoshida and Masato Tsuru and Yuji Oie

Proc. of Eighth International Conference on Hybrid Intelligent Systems pp. 465 - 470 2008年04月

Visualization of Pareto-Sets in Evolutionary Multi-Objective Optimization 査読有り

Mario Koeppen,Kaori Yoshida

The 7th International Conference on Hybrid Intelligent Systems 156 - 161 2007年04月

Many-Objective Particle Swarm Optimization by Gradual Leader Selection 査読有り

Mario Koeppen,Kaori Yoshida

Proc. of ICANNGA07 2007年04月

Substitute Distance Assignments in NSGA-II for Handling Many-Objective Optimization Problems 査読有り

Mario Koeppen,Kaori Yoshida

Evolutionary Multi-Criterion Optimization, 4th International Conference 727 - 741 2007年04月

Perception of image similarity considering Gestalt theory 査読有り

Yutaka Kinoshita,Mario Koeppen,Kaori Yoshida

Proc. of International Conference of Soft Computing and Human Sciences 2007 2007年04月

Gestalt Theory in Image Processing: A discussion paper 査読有り

Mario Koeppen,Kaori Yoshida

Proc. of IEEE Soft Computing in Industrial Applications 2007年04月

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