Autonomous Systems – Self-Organization, Management, and Control Proceedings of the 8th International Workshop held at Shanghai Jiao Tong University, Shanghai, China, October 6–7, 2008 /

The International Workshop on "Autonomous Systems - Self-Organization, Management, and Control " is the eighth in a successful series of workshops that were established by Shanghai Jiao Tong University and Technische Universitat Berlin. The goal of these workshops is to bring together rese...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Mahr, Bernd (Επιμελητής έκδοσης), Huanye, Sheng (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Dordrecht : Springer Netherlands, 2008.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.