Computer and Information Science 2010

1. Front Matter

   PDF

2. Adaptive Practice on Software Reliability Based on IEEE Std. 1633 in Frequent Requirement Modifications

   • Taewan Gu, Sejun Kim, Jongmoon Baik

   Pages 1-11

   PDF

3. On Influence of Refractory Parameter in Incremental Learning

   • Keisuke Matsuno, Toshinori Deguchi, Naohiro Ishii

   Pages 13-21

   PDF

4. Deadlock Detection for Parallel Composition of Components

   • Hongwei Zeng, Huaikou Miao

   Pages 23-34

   PDF

5. Mobility Modelling for Vehicular Communication Data Dissemination

   • Chong Shen, Wencai Du

   Pages 35-45

   PDF

6. Study of the Key Techniques for Implementing Barcode Network

   • Jing Sun, Huiqun Zhao, Gongzhu Hu

   Pages 47-57

   PDF

7. Programming Expertise during Incremental Software Development: An Empirical Study

   • Shaochun Xu, Wencai Du

   Pages 59-72

   PDF

8. General Flow Characteristics of P2P Streaming Considering Impact to Network Load

   • Hiroyuki Kitada, Takumi Miyoshi, Akihiro Shiozu, Masayuki Tsujino, Motoi Iwashita, Hideaki Yoshino

   Pages 73-83

   PDF

9. An Exploration of the Intention to Use Online Store

   • Dauw-Song Zhu, Chung-Hung Tsai, Song-Sheng Huang

   Pages 85-94

   PDF

10. Modelling Intelligent Behaviours in Multi-agent Based HL7 Services

    • Miguel Miranda, Gabriel Pontes, Pedro Gonçalves, Hugo Peixoto, Manuel Santos, António Abelha et al.

    Pages 95-106

    PDF

11. SFS: A Secure File System with Scalability and Reliability Features on Distributed Storage Devices

    • Feng Shen, Hai Jiang

    Pages 107-120

    PDF

12. Exploiting Contextual Information from Event Logs for Personalized Recommendation

    • Dongjoo Lee, Sung Eun Park, Minsuk Kahng, Sangkeun Lee, Sang-goo Lee

    Pages 121-139

    PDF

13. Real-Time Reconstruction System Using a High-Performance Computer for Electroholography

    • Yasuyuki Ichihashi, Hirotaka Nakayama, Shin Awazu, Tomoyoshi Shimobaba, Nobuyuki Masuda, Tomoyoshi Ito

    Pages 141-152

    PDF

14. Development of Experience-Based Learning Support System for Realization of Exact Cardiopulmonary Resuscitation

    • Naoya Fujioka, Masaya Suzuki, Satomi Toita, Hikaru Komukai, Hidehiko Hayashi, Kazuhiro Watanabe et al.

    Pages 153-163

    PDF

15. Constraint-Based Clustering of Image Search Results Using Photo Metadata and Low-Level Image Features

    • Masaharu Hirota, Shohei Yokoyama, Naoki Fukuta, Hiroshi Ishikawa

    Pages 165-178

    PDF

16. An Incentive Mechanism Design in E-Trade Evaluation Systems

    • Koki Murakata, Tokuro Matsuo

    Pages 179-191

    PDF

17. What Is an Enterprise Architecture Principle?

    • Christian Fischer, Robert Winter, Stephan Aier

    Pages 193-205

    PDF

18. Components Based Testing Using Optimization AOP

    • Haeng-Kon Kim, Roger Y. Lee

    Pages 207-219

    PDF

19. Usability Studies of Web-Based Portal Structures in Academia (Specifically, iCentral)

    • Matt Brooks, David Munro, Roger Lee

    Pages 221-234

    PDF

20. Back Matter

    PDF

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.

• Service
• Software
• Usability
• computational intelligence
• computer
• computer science
• design
• development
• intelligence
• learning
• modeling
• network
• optimization
• programming
• science

• Central Michigan University, Mt. Pleasant, USA

  Roger Lee

Policies and ethics