Autonomous Systems – Self-Organization, Management, and Control

TRAMA

The 2008 TUB-SJTU joint workshop on “Autonomous Systems – Self-Organization, Management, and Control” was held on October 6, 2008 at Shanghai Jiao Tong University, Shanghai, China. The workshop, sponsored by Shanghai Jiao Tong University and Technical University of Berlin brought together scientists and researchers from both universities to present and discuss the latest progress on autonomous systems and its applications in diverse areas. Autonomous systems are designed to integrate machines, computing, sensing, and software to create intelligent systems capable of interacting with the complexities of the real world. Autonomous systems represent the physical embodiment of machine intelligence. Topics of interest include, but are not limited to theory and modeling for autonomous systems; organization of autonomous systems; learning and perception; complex systems; multi-agent systems; robotics and control; applications of autonomous systems.

SOMMARIO

Head Pose Perception Based on Invariance Representation.- Geometrical Approaches to Active Learning.- Detecting Drowsiness in Driving Simulation Based on EEG.- Multi-Task BCI for Online Game Control.- Efficient Biped Pattern Generation Based on Passive Inverted Pendulum Model.- A Slung Load Transportation System Based on Small Size Helicopters.- Multi-Source Data Fusion and Management for Virtual Wind Tunnels and Physical Wind Tunnels.- Flying Sensors – Swarms in Space.- €?-Logics – Propositional Logics with Self-Reference and Modalities.- Compositionality of Aspect Weaving.- Towards the Application of Process Calculi in the Domain of Peer-to-Peer Algorithms.- Specification Techniques (Not Only) for Autonomous Systems.- Quality Assurance for Concurrent Software – An Actor-Based Approach.- Enabling Autonomous Self-Optimisation in Service-Oriented Systems.- Algorithms for Reconfiguring Self-Stabilizing Publish/Subscribe Systems.- Combining Browsing Behaviors and Page Contents for Finding User Interests.- Patent Classification Using Parallel Min-Max Modular Support Vector Machine.- A Study of Network Informal Language Using Minimal Supervision Approach.- Topic Identification Based on Chinese Domain-Specific Subjective Sentence.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9789048180172
• Dimensioni: 235 x 155 mm
• Formato: Brossura
• Illustration Notes: X, 183 p.
• Pagine Arabe: 183
• Pagine Romane: x