Life System Modeling and Intelligent Computing

International Conference on Life System Modeling and Simulation, LSMS 2010, and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010, Wuxi, China, September 17-20, 2010, Proceedings, Part I

  • Kang Li
  • Minrui Fei
  • Li Jia
  • George W. Irwin

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6328)

Table of contents

  1. Front Matter
    Pages I-XXII
  2. The First Section: Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems

    1. Minrui Fei, Weihua Deng, Kang Li, Yang Song
      Pages 1-6
    2. Xueqin Liu, Kang Li, Marion McAfee, Jing Deng
      Pages 7-15
    3. Li Jia, Dashuai Cheng, Luming Cao, Zongjun Cai, Min-Sen Chiu
      Pages 36-44
    4. Liangcheng Cheng, Yaqin Li, Huizhong Yang, Nam Sun Wang
      Pages 45-51
    5. Jun Zhang, Guangzhou Zhao, Hong Gu
      Pages 52-61
    6. Dajun Du, Minrui Fei, Kang Li
      Pages 62-68
    7. Xiao-ming yu, Jing-ping jiang
      Pages 77-86
    8. Yong Shao, Enyu Jiang, Quanzhen Huang, Xiangqiang Zeng
      Pages 95-103
    9. Min-you Chen, Jin-qian Zhai, Zi-qiang Lang, Ju-cheng Liao, Zhao-yong Fan
      Pages 104-111
    10. Li Jia, Jiping Shi, Dashuai Cheng, Luming Cao, Min-Sen Chiu
      Pages 112-119
    11. Haikuan Wang, Weiyan Hou, Zhaohui Qin, Yang Song
      Pages 129-135
    12. Fang Wang, Lixin Gao, Yanping Luo
      Pages 157-165

About these proceedings

Introduction

The 2010 International Conference on Life System Modeling and Simulation (LSMS 2010) and the 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE 2010) were formed to bring together researchers and practitioners in the fields of life system modeling/simulation and intelligent computing applied to worldwide sustainable energy and environmental applications. A life system is a broad concept, covering both micro and macro components ra- ing from cells, tissues and organs across to organisms and ecological niches. To c- prehend and predict the complex behavior of even a simple life system can be - tremely difficult using conventional approaches. To meet this challenge, a variety of new theories and methodologies have emerged in recent years on life system modeling and simulation. Along with improved understanding of the behavior of biological systems, novel intelligent computing paradigms and techniques have emerged to h- dle complicated real-world problems and applications. In particular, intelligent c- puting approaches have been valuable in the design and development of systems and facilities for achieving sustainable energy and a sustainable environment, the two most challenging issues currently facing humanity. The two LSMS 2010 and ICSEE 2010 conferences served as an important platform for synergizing these two research streams.

Keywords

GPU MAS agent systems autonomic systems bioinformatics biological simulation biological systems computational intelligence fuzzy system life systems modeling renewable energy sensor networks simulation system modeling

Editors and affiliations

  • Kang Li
    • 1
  • Minrui Fei
    • 2
  • Li Jia
    • 2
  • George W. Irwin
    • 3
  1. 1.Electrical Engineering and Computer ScienceThe Queen’s UniversityBelfastUK
  2. 2.School of Mechatronical Engineering and AutomationShanghai UniversityShanghaiChina
  3. 3.School of Electronics, Electrical Engineering and Computer ScienceThe Queen’s UniversityBelfastUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-15621-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-15620-5
  • Online ISBN 978-3-642-15621-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book