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 III

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

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6330)

Also part of the Lecture Notes in Bioinformatics book sub series (LNBI, volume 6330)

Table of contents

  1. Front Matter
  2. The First Section: Biomedical Signal Processing, Speech, Imaging and Visualization

    1. Hong Gu, Guangzhou Zhao, Jianliang Zhang
      Pages 1-9
    2. Weiming Zhai, Fan Yang, Yixu Song, Yannan Zhao, Hong Wang
      Pages 10-18
    3. Banghua Yang, Li Liu, Peng Zan, Wenyu Lu
      Pages 19-26
    4. Guofa Shou, Ling Xia, Mingfeng Jiang
      Pages 51-59
    5. Lantian Song, Fengqin Yu
      Pages 60-66
    6. Huiquan Wang, Gang Li, Zhe Zhao, Ling Lin
      Pages 67-74
    7. Jiaxin Jiang, Zhen Zhang, Zhen Wang, Jinwu Qian
      Pages 75-83
    8. Liang Xiao, Xiaosong Yuan, Zack Galbreath, Badrinath Roysam
      Pages 100-112
    9. Wei He, Xiaodong Song, Zheng Xu, Haijun Luo
      Pages 113-121
    10. Jinyong Cheng, Yihui Liu, Jun Sang, Qiang Liu, Shaoqing Wang
      Pages 122-130
    11. Xiaoxia Li, Xiumei Guo, Guizhi Xu, Xiukui Shang
      Pages 131-138
    12. Liyan Zhang, Fuliang Yin, Lijun Zhang
      Pages 139-147

About these proceedings


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.


DNA computi Scale-invariant feature transform artificial life bio-inspired computing bioinformatics biomedical imaging biomedical signal processing biomedical visualization cellular behavior computational biology computational genomics computed tomography (CT) energy consumption evolutionary algorithms machine vision

Editors and affiliations

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

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-15614-4
  • Online ISBN 978-3-642-15615-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book