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E-raamat: 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 II

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  • Formaat: PDF+DRM
  • Sari: Lecture Notes in Computer Science 6329
  • Ilmumisaeg: 08-Sep-2010
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Keel: eng
  • ISBN-13: 9783642155970
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  • Formaat: PDF+DRM
  • Sari: Lecture Notes in Computer Science 6329
  • Ilmumisaeg: 08-Sep-2010
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Keel: eng
  • ISBN-13: 9783642155970

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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.
The First Section: Advanced Evolutionary Computing Theory and
Algorithms.- A Novel Ant Colony Optimization Algorithm in Application of
Pheromone Diffusion.- Modelling the Effects of Operating Conditions on Motor
Power Consumption in Single Screw Extrusion.- Quantum Genetic Algorithm for
Hybrid Flow Shop Scheduling Problems to Minimize Total Completion Time.-
Re-diversified Particle Swarm Optimization.- Fast Forward RBF Network
Construction Based on Particle Swarm Optimization.- A Modified Binary
Differential Evolution Algorithm.- Research on Situation Assessment of UCAV
Based on Dynamic Bayesian Networks in Complex Environment.- Optimal Tracking
Performance for Unstable Processes with NMP Zeroes.- Typhoon Cloud Image
Enhancement by Differential Evolution Algorithm and Arc-Tangent
Transformation.- Data Fusion-Based Extraction Method of Energy Consumption
Index for the Ethylene Industry.- Research on Improved QPSO Algorithm Based
on Cooperative Evolution with Two Populations.- Optimum Distribution of
Resources Based on Particle Swarm Optimization and Complex Network Theory.-
The Model of Rainfall Forecasting by Support Vector Regression Based on
Particle Swarm Optimization Algorithms.- Constraint Multi-objective Automated
Synthesis for CMOS Operational Amplifier.- Research on APIT and Monte Carlo
Method of Localization Algorithm for Wireless Sensor Networks.- Quantum
Immune Algorithm and Its Application in Collision Detection.- An Artificial
Bee Colony with Random Key for Resource-Constrained Project Scheduling.- The
Second Section: Advanced Neural Network and Fuzzy System Theory and
Algorithms.- Combined Electromagnetism-Like Mechanism Optimization Algorithm
and ROLS with D-Optimality Learning for RBF Networks.- Stochastic Stability
and Bifurcation Analysis on Hopfield Neural Networks with Noise.- EMD-TEO
Based Speech Emotion Recognition.- A Novel Fast Algorithm Technique for
Evaluating Reliability Indices of Radial Distribution Systems.- An Improved
Adaptive Sliding Mode Observer for Sensorless Control of PMSM.-
Clustering-Based Geometric Support Vector Machines.- A Fuzzy-PID Depth
Control Method with Overshoot Suppression for Underwater Vehicle.- Local
Class Boundaries for Support Vector Machine.- Research on Detection and
Material Identification of Particles in the Aerospace Power.- The Key Theorem
of Learning Theory Based on Sugeno Measure and Fuzzy Random Samples.-
Recognition of Fire Detection Based on Neural Network.- The Design of
Predictive Fuzzy-PID Controller in Temperature Control System of Electrical
Heating Furnace.- Stability Analysis of an Impulsive Cohen-Grossberg-Type BAM
Neural Networks with Time-Varying Delays and Diffusion Terms.- The Third
Section: Modeling and Simulation of Societies and Collective Behaviour.-
Characterizing Multiplex Social Dynamics with Autonomy Oriented Computing.- A
Computational Method for Groundwater Flow through Industrial Waste by Use of
Digital Color Image.- A Genetic Algorithm for Solving Patient- Priority-
Based Elective Surgery Scheduling Problem.- A Neighborhood Correlated
Empirical Weighted Algorithm for Fictitious Play.- Application of BP Neural
Network in Exhaust Emission Estimatation of CAPS.- Dynamic Behavior in a
Delayed Bioeconomic Model with Stochastic Fluctuations.- The Fourth Section:
Biomedical Signal Processing, Imaging, and Visualization.- A Feature Points
Matching Method Based on Window Unique Property of Pseudo-Random Coded
Image.- A Reconstruction Method for Electrical Impedance Tomography Using
Particle Swarm Optimization.- VLSI Implementation of Sub-pixel Interpolator
for AVS Encoder.- The Fifth Section: Intelligent Computing and Control in
Distributed Power Generation Systems.- Optimization of Refinery Hydrogen
Network.- Overview: A Simulation Based Metaheuristic Optimization Approach to
Optimal Power Dispatch Related to a Smart Electric Grid.- Speed Control for a
Permanent Magnet Synchronous Motor with an Adaptive Self-Tuning Uncertainties
Observer.- Research on Short-Term Gas Load Forecasting Based on Support
Vector Machine Model.- Network Reconfiguration at the Distribution System
with Distributed Generators.- The Sixth Section: Intelligent Methods in Power
and Energy Infrastructure Development.- An Autonomy-Oriented Computing
Mechanism for Modeling the Formation of Energy Distribution Networks: Crude
Oil Distribution in U.S. and Canada.- A Wavelet-Prony Method for Modeling of
Fixed-Speed Wind Farm Low-Frequency Power Pulsations.- Direct Torque Control
for Permanent Magnet Synchronous Motors Based on Novel Control Strategy.- The
Seventh Section: Intelligent Modeling, Monitoring, and Control of Complex
Nonlinear Systems.- A Monitoring Method Based on Modified Dynamic Factor
Analysis and Its Application.- A Novel Approach to System Stabilization over
Constrained Channels.- An Efficient Algorithm for Grid-Based Robotic Path
Planning Based on Priority Sorting of Direction Vectors.- A Novel Method for
Modeling and Analysis of Meander-Line-Coil Surface Wave EMATs.- The Design of
Neuron-PID Controller for a Class of Networked Control System under Data Rate
Constraints.- Stochastic Optimization of Two-stage Multi-item Inventory
System with Hybrid Genetic Algorithm.- Iterative Learning Control Based on
Integrated Dynamic Quadratic Criterion for Batch Processes.- Impedance
Measurement Method Based on DFT.- A 3D-Shape Reconstruction Method Based on
Coded Structured Light and Projected Ray Intersecting Location.- Erratum.-
Erratum: Modelling the Effects of Operating Conditions on Motor Power
Consumption in Single Screw Extrusion.