应用力学、机电一体化及智能化系统国际会议(AMMIS2015)

应用力学、机电一体化及智能化系统国际会议(AMMIS2015)将于2015年6月19至20日在南京召开。

(应用力学、机电一体化及智能化系统国际会议(AMMIS2015))

大会(AMMIS2015)致力于为广大学者与工程师们提供一个高水平的国际交流平台以讨论近年来在应用力学,机电一体化与智能化系统领域内的最新研究成果。 

(应用力学、机电一体化及智能化系统国际会议(AMMIS2015))

大会议程：

Mechanics
Biomechanics
Computational Mechanics
Contact Mechanics/Tribology
Coupled Systems
Dynamics/Vibration
Fluid-Structure Interaction
Fracture/Fatigue
Gear Dynamics
Geo-Mechanics
Impact Mechanics
Machine Dynamics
Machining/Manufacturing
Micro & Nanomechanics
Nondestructive Evaluation
Particle Mechanics
Plasticity
Reliability & Maintenance Engineering
Renewable Energy Mechanics
Smart Materials & Structures
Smart Sensors
Structural Mechanics
Structural Health Monitoring
Sustainable Engineering
Tissue Engineering 

Mechatronics and Automation 
Mechatronics 
Industrial Robotics and Automation 
Intelligent control, neuro-control, fuzzy control 
Industrial Automation and Process Control 
Distributed Control System 
Embedded System 
Control system modeling and simulation techniques 
Enterprise Information system and information processing technology 
Virtual Instrumentation 
Sensors, multi-sensor data fusion algorithms 
Advanced measurement and Machine Vision system 
Transmission and control of Fluid 
Dynamics, Vibration and Control
Systems Safety and Security,Systems Risk Management
Systems Modeling, Tools and Simulation,Optimization
Systems Engineering Technical And Support Process 

Intelligent System
Artificial Intelligence
Pattern Recognition
Artificial Neural Networks
Soft Computing and Fuzzy Systems
Computer Vision and Active Vision
Image and Video Processing and Analysis
Medical Imaging
Machine Learning
Data Mining
Evolutionary algorithms
Swarm Intelligence
Intelligent Agents and Multi-Agent Systems
Ontologies 
Decision Support Systems
Supervised Semi-Supervised and Unsupervised Learning
Human-Computer Interaction and Systems
Speech Generation and Recognition
Intelligent Transportation Systems 
Models and Computational Theories of Human Cognition
Intelligent Robotic Systems, Knowledge Management and Representation
Intelligent System Design
Bayesian Learning 
Brain-Machine Interface Systems 
Evolving Clustering Methods, Natural Language Processing and Fusion