Topics

 

Information Technology in Automation

Co-Chairs:
Georg Frey, Saarland University, Germany 
Marga Marcos, University of Basque Country, Spain 

 

  • IT Modeling Techniques (e.g., Object-Orientation, Components, Agents, Services) for Automation Systems
  • Model Driven Development in Automation (e.g., UML, SysML)
  • Data Modeling (e.g., CAEX, AutomationML, OPC UA)
  • Domain Specific Modeling and Programming Languages (e.g., IEC 61131, IEC 61499)
  • Vertical Integration, Integration with MES and ERP Systems (Databases, Semantic Web Services)
  • Security and Safety in Factory, Home and Building Automation
  • Dynamically Reconfigurable, Adaptive, and Emergent Automation Software/Systems
  • Energy Management in and by Automated Systems
  • Case Studies and Application Reports especially from:

- Digital Factory, Smart Manufacturing, Web-of-Things in the Factory Line

- Home and Building Automation

- Renewable Energy Systems (Production and Integration)

 

 
 
Industrial Communication Systems
Co-Chairs:
 
 
  • Fieldbus Networks and Industrial Ethernet Networks
  • Automotive and Avionic Networks
  • Industrial Control Networks
  • Home and Building Automation Networks
  • Industrial Wireless Networks 
  • Wireless Sensor Networks
  • Hybrid Wired/Wireless Networks
  • Middleware for Industrial Communications
  • System Design, Architecture and Implementation
  • IP-based and Web-based Communication and Applications
  • Self-configurable Systems
  • Networked Control Systems
  • Adaptive Middleware for Decentralized Control
  • Real-time Issues
  • QoS and Performance Issues
  • Synchronization Protocols
  • Dependability and Fault Tolerance Aspects
  • Safety Buses and Protocols
  • Integration of Automation Networks
  • Interoperability
  • Security in Industrial Communications
  • Industrial Case Studies
 
 
Real-Time and (Networked) Embedded Systems (RTNES)
Co-Chairs:
 
 
  • Theory and Technology in RTNES:

- Real-Time Computing
- Real-Time Operating Systems
- Real-Time Communications
- Networked Embedded Systems Technology
- Wireless Sensor Networks
- Cyber Physical Systems

 

  • Design and Methods in RTNES:

- Design and Implementation
- Design Methodologies and Tools
- Components and Platforms
- Models of Computation and Formal Methods
- Hardware/Software Co-Design

 

  • Verification and Validation Methods

 

  • Algorithms and Control in RTNES:

- Energy Management
- Data Integration and Fusion
- Communication Modes
- Quality of Service Control

 

  • Case Studies in RTNES Including:

- Industrial Automation,
- Automotive,
- Avionics,
- Communications and Building Automation

 
 
Automated Manufacturing Systems
Co-Chairs:
 
 
  • Formal Modeling and Analysis of Manufacturing Systems
  • Scheduling, Simulation, Queuing Systems and Petri Nets in Manufacturing Systems
  • Synthesis and Analysis Techniques, Performance Evaluation and Reliability
  • Discrete and Continuous Industrial Automation Systems
  • Automated Manufacturing Systems and Enterprise Integration
  • Application of Service-Oriented Technologies
  • Test Cases, Benchmarks and Tools
  • Applications and Experiences in Practice
  • Recent Developments in Standardization
  • Resource Allocation Systems in Manufacturing
  • Fault Diagnosis, State-Estimation and Identification
 
 
Industrial Control
Co-Chairs:
 
 
  • Process Monitoring and Control 
  • Equipment Monitoring and Control
  • Supervisory Control
  • Fault Detection and Management
  • Process Modeling and Optimization
  • Control Performance Assessment
  • Industrial Control Applications
  • Large-Scale Systems
  • Computer Implementation of Control Systems
  • Co-Design of Control, Computing and Communication
  • Co-Design of Diagnosis and Dependability
  • Safety Issues in Industrial Control
 
 
 
Computational Intelligence and Modern Heuristics
in Automation
Co-Chairs:
 

  • Intelligent Systems and Control, and Modern Heuristics in Automation and Industrial Applications
  • Neural/Fuzzy/Evolutionary Approaches in Automation
  • Modern Heuristics Methods in Factory Automation Based on Predictive, Adaptive Control, Recognition, Navigation, Motion Control, Competitive, Self-Organizing Learning, and Clustering
  • Computational Intelligence in Security, Reliability, and Fault-
  • Tolerance in Automation
  • Ant Colonies Optimization and Swarm Intelligence in Automation
  • Intelligence Computation in Automation
  • Machine Learning Methods in Automation
  • Optimization and Multi-Objective Optimization Methods
  • Knowledge Discovery and Data Mining in Automation
  • Expert Systems in Automation
  • Intelligent Hybrid Systems
  • Intelligent Systems in Signal Processing (DSP)
  • Hardware Optimization Based on Computational Intelligence Techniques
 
 
Intelligent Robots & Systems
Co-Chairs:
 
 
  • Cognitive Robotics
  • Cooperative and Collaborative Robotics
  • Multi-Agent Systems and Distributed Robotics Architectures
  • Human-Robot Interaction
  • Integrated Intelligence
  • Intelligent Robot Assistants
  • Intelligent Embedded Systems
  • Robot Programming
  • Natural Language Grounding
  • Path Planning and Collision Avoidance
  • Navigation, Control and Manipulation for Intelligent Robots andSystems
  • Perception, Environment Description and Map Building
  • Mobile Manipulation
  • Planning and Failure Recovery
  • Network Robotics
  • Reasoning under Uncertainty
  • Robot Learning
  • Advanced Sensors and Vision Systems in Robotics
  • Usability Studies
 

 

Powered by CMSimple_XH | Template: ge-webdesign.de | (X)html | css | Login