Life System Modeling and Simulation: International Conference on Life System Modeling, and Simulation, LSMS 2007, Shanghai, China, Septe by Minrui FeiLife System Modeling and Simulation: International Conference on Life System Modeling, and Simulation, LSMS 2007, Shanghai, China, Septe by Minrui Fei

Life System Modeling and Simulation: International Conference on Life System Modeling, and…

byMinrui Fei

Paperback | August 30, 2007

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The International Conference on Life System Modeling and Simulation (LSMS) was formed to bring together international researchers and practitioners in the field of life system modeling and simulation as well as life system-inspired theory and methodology. The concept of a life system is quite broad. It covers both micro and macro c- ponents ranging from cells, tissues and organs across to organisms and ecologic niches. These interact and evolve to produce an overall complex system whose beh- ior is difficult to comprehend and predict. The arrival of the 21st century has been marked by a resurgence of research interest both in arriving at a systems-level und- standing of biology and in applying such knowledge in complex real-world appli- tions. Consequently, computational methods and intelligence in systems, biology, as well as bio-inspired computational intelligence, have emerged as key drivers for new computational methods. For this reason papers dealing with theory, techniques and real-world applications relating to these two themes were especially solicited. Building on the success of a previous workshop in 2004, the 2007 International Conference on Life System Modeling and Simulation (LSMS 2007) was held in Shanghai, China, September 14-17, 2007. The conference was jointly organized by The Shanghai University, Queen's University Belfast together with The Life System Modeling and Simulation Special Interest Committee of the Chinese Association for System Simulation.
Title:Life System Modeling and Simulation: International Conference on Life System Modeling, and…Format:PaperbackDimensions:288 pages, 23.5 × 15.5 × 0.17 inPublished:August 30, 2007Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3540747702

ISBN - 13:9783540747703

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Table of Contents

The First Section: Modeling and Simulation of Societies and Collective Behavior.- Phase Synchronization of Circadian Oscillators Induced by a Light-Dark Cycle and Extracellular Noise.- Detecting RNA Sequences Using Two-Stage SVM Classifier.- Frequency Synchronization of a Set of Cells Coupled by Quorum Sensing.- A Stochastic Model for Prevention and Control of HIV/AIDS Transmission Dynamics.- Simulation of Artificial Life of Bee's Behaviors.- Hybrid Processing and Time-Frequency Analysis of ECG Signal.- Robust Stability of Human Balance Keeping.- Modelling Pervasive Environments Using Bespoke and Commercial Game-Based Simulators.- The Research of Artificial Animal's Behavior Memory Based on Cognition.- The Second Section: Computational Methods and Intelligence in Biomechanical Systems, Tissue Engineering and Clinical Bioengineering.- How to Ensure Safety Factors in the Development of Artificial Heart: Verified by the Usage of "Modeling and Simulation" Technology.- Parametric-Expression-Based Construction of Interior Features for Tissue Engineering Scaffold with Defect Bone.- Computation of Uniaxial Modulus of the Normal and Degenerated Articular Cartilage Using Inhomogeneous Triphasic Model.- Effect of the Plantar Ligaments Injury on the Longitudinal Arch Height of the Human Foot.- Internet Living Broadcast of Medical Video Stream.- Predicting Syndrome by NEI Specifications: A Comparison of Five Data Mining Algorithms in Coronary Heart Disease.- Application of Image Processing and Finite Element Analysis in Bionic Scaffolds' Design Optimizing and Fabrication.- The Mechanical Properties of Bone Tissue Engineering Scaffold Fabricating Via Selective Laser Sintering.- The Third Section: Computational Intelligence in Bioinformatics and Biometrics.- Informational Structure of Agrobacterium Tumefaciens C58 Genome.- Feature Extraction for Cancer Classification Using Kernel-Based Methods.- A New Hybrid Approach to Predict Subcellular Localization by Incorporating Protein Evolutionary Conservation Information.- Support Vector Machine for Prediction of DNA-Binding Domains in Protein-DNA Complexes.- Feature Extraction for Mass Spectrometry Data.- An Improved Algorithm on Detecting Transcription and Translation Motif in Archaeal Genomic Sequences.- Constructing Structural Alignment of RNA Sequences by Detecting and Assessing Conserved Stems.- Iris Verification Using Wavelet Moments and Neural Network.- Comprehensive Fuzzy Evaluation Model for Body Physical Exercise Risk.- The Fourth Section: Brain Stimulation, Neural Dynamics and Neural Interfacing.- The Effect of Map Information on Brain Activation During a Driving Task.- Worm 5: Pseudo-organics Computer and Natural Live System.- Comparisons of Chemical Synapses and Gap Junctions in the Stochastic Dynamics of Coupled Neurons.- Distinguish Different Acupuncture Manipulations by Using Idea of ISI.- The Study on Internet-Based Face Recognition System Using PCA and MMD.- Simulation of Virtual Human's Mental State in Behavior Animation.- Hemodynamic Analysis of Cerebral Aneurysm and Stenosed Carotid Bifurcation Using Computational Fluid Dynamics Technique.- Active/Inactive Emotional Switching for Thinking Chain Extraction by Type Matching from RAS.- Pattern Recognition for Brain-Computer Interfaces by Combining Support Vector Machine with Adaptive Genetic Algorithm.- The Fifth Section: Biological and Biomedical Data Integration, Mining and Visualization.- Improved Locally Linear Embedding by Cognitive Geometry.- Predicting the Free Calcium Oxide Content on the Basis of Rough Sets, Neural Networks and Data Fusion.- Classification of Single Trial EEG Based on Cloud Model for Brain-Computer Interfaces.- The Modified Self-organizing Fuzzy Neural Network Model for Adaptability Evaluation.- Predicting Functional Protein-Protein Interactions Based on Computational Methods.- The Chaos Model Analysis Based on Time-Varying Fractal Dimension.- Bi-hierarchy Medical Image Registration Based on Steerable Pyramid Transform.- The Sixth Section: Computational Methods and Intelligence in Organism Modeling and Biochemical Networks and Regulation.- A Multiagent Quantum Evolutionary Algorithm for Global Numerical Optimization.- Developing and Optimizing a Finite Element Model of Phalange Using CT Images.- Reverse Engineering Methodology in Broken Skull Surface Model Reconstruction.- Identification and Application of Nonlinear Rheological Characteristics of Oilseed Based on Artificial Neural Networks.- Prediction of Death Rate of Breast Cancer Induced from Average Microelement Absorption with Neural Network.- An Adaptive Classifier Based on Artificial Immune Network.- Investigation of a Hydrodynamic Performance of a Ventricular Assist Device After Its Long-Term Use in Clinical Application.- The Seventh Section: Computational Methods and Intelligence in Modeling of Molecular, Cellular, Multi-cellular Behavior and Design of Synthetic Biological Systems.- QSAR and Molecular Docking Study of a Series of Combretastatin Analogues Tubulin Inhibitors.- A Software Method to Model and Fabricate the Defective Bone Repair Bioscaffold Using in Tissue Engineering.- Using Qualitative Technology for Modeling the Process of Virus Infection.- AOC-by-Self-discovery Modeling and Simulation for HIV.- A Simulation Study on the Encoding Mechanism of Retinal Ganglion Cell.- Modelling the MAPK Signalling Pathway Using a Two-Stage Identification Algorithm.- The Eighth Section: Others.- Design and Path Planning for a Remote-Brained Service Robot.- Adaptive Fuzzy Sliding Mode Control of the Model of Aneurysms of the Circle of Willis.- Particle Swarm Optimization Applied to Image Vector Quantization.- Face Detection Based on BPNN and Wavelet Invariant Moment in Video Surveillance.- Efficient Topological Reconstruction for Medical Model Based on Mesh Simplification.- Repetitive Motion Planning of Redundant Robots Based on LVI-Based Primal-Dual Neural Network and PUMA560 Example.- Tensile Test to Ensure a Safety of Cannula Connection in Clinical Ventricular Assist Device (VAD).- A Reproduction of Inflow Restriction in the Mock Circulatory System to Evaluate a Hydrodynamic Performance of a Ventricular Assist Device in Practical Conditions.