Overview
- Editors:
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Roger Lee
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Central Michigan University, Mt. Pleasant, USA
- Recent research Computer and Information Science
- Edited outcome of the 9th ACIS/IEEE International Conference on Computer Science and Information Science, held in Kaminoyama, Japan on August 18-20
- Written by leading experts in the field
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Table of contents (18 chapters)
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- Taewan Gu, Sejun Kim, Jongmoon Baik
Pages 1-11
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- Keisuke Matsuno, Toshinori Deguchi, Naohiro Ishii
Pages 13-21
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- Hongwei Zeng, Huaikou Miao
Pages 23-34
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- Jing Sun, Huiqun Zhao, Gongzhu Hu
Pages 47-57
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- Hiroyuki Kitada, Takumi Miyoshi, Akihiro Shiozu, Masayuki Tsujino, Motoi Iwashita, Hideaki Yoshino
Pages 73-83
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- Dauw-Song Zhu, Chung-Hung Tsai, Song-Sheng Huang
Pages 85-94
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- Miguel Miranda, Gabriel Pontes, Pedro Gonçalves, Hugo Peixoto, Manuel Santos, António Abelha et al.
Pages 95-106
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- Dongjoo Lee, Sung Eun Park, Minsuk Kahng, Sangkeun Lee, Sang-goo Lee
Pages 121-139
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- Yasuyuki Ichihashi, Hirotaka Nakayama, Shin Awazu, Tomoyoshi Shimobaba, Nobuyuki Masuda, Tomoyoshi Ito
Pages 141-152
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- Naoya Fujioka, Masaya Suzuki, Satomi Toita, Hikaru Komukai, Hidehiko Hayashi, Kazuhiro Watanabe et al.
Pages 153-163
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- Masaharu Hirota, Shohei Yokoyama, Naoki Fukuta, Hiroshi Ishikawa
Pages 165-178
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- Koki Murakata, Tokuro Matsuo
Pages 179-191
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- Christian Fischer, Robert Winter, Stephan Aier
Pages 193-205
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- Haeng-Kon Kim, Roger Y. Lee
Pages 207-219
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- Matt Brooks, David Munro, Roger Lee
Pages 221-234
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About this book
The 9th ACIS/IEEE International Conference on Computer Science and Information Science, held in Kaminoyama, Japan on August 18-20 is aimed at bringing together researchers and scientists, businessmen and entrepreneurs, teachers and students to discuss the numerous fields of computer science, and to share ideas and information in a meaningful way. This publication captures 18 of the conference’s most promising papers, and we impatiently await the important contributions that we know these authors will bring to the ?eld. In chapter 1, Taewan Gu et al. propose a method of software reliability estimation based on IEEE Std. 1633 which is adaptive in the face of frequent changes to software requirements, and show why the adaptive approach is necessary when software requirements are changed frequently through a case study. In chapter 2, Keisuke Matsuno et al. investigate the capacity of incremental learning in chaotic neural networks, varying both the refractory parameter and the learning parameter with network size. This approach is investigated through simulations, which ?nd that capacity can be increased in greater than direct proportion to size. In chapter 3, Hongwei Zeng and Huaikou Miao extend the classical labeled transition system models to make both abstraction and compositional reasoning applicable to deadlock detection for parallel composition of components, and propose a compositional abstraction re?nement approach.
Editors and Affiliations
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Central Michigan University, Mt. Pleasant, USA
Roger Lee
