Intelligent production machines and systems : 2nd IPROMS Virtual Conference, 3-14 July 2006 / / organized by FP61 I*PROMS Network of Excellence ; editors, D.T. Pham, E.E. Eldukhri, A.J. Soroka

• Pubblicazione: Amsterdam ; ; Oxford, : Elsevier, 2006
• Edizione: 1st edition
• Descrizione fisica: 1 online resource (685 p.)
• Disciplina: 670.285
• Soggetto topico: Automatic control; Assembly-line methods - Automatic control; CAD/CAM systems
• Altri autori: PhamD. T EldukhriE. E SorokaA. J
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographic references.
• Nota di contenuto: Front Cover; Intelligent Production Machines and Systems; Copyright Page; Contents; Sponsors; Preface; Introduction; Programme and Organising Committees; Special Session Organisers; Special Session Chairs and Co-Chairs; Referees; I*PROMS Central Coordination and MEC Teams; Part I: Advanced Machine Tool Technologies; Chapter 1. Advanced signal processing in acoustic emission monitoring systems for machining technology; Chapter 2. Innovative signal processing for cutting force based chip form prediction; Chapter 3. Monitoring of slowly progressing deterioration of CNC-machine axes ; Chapter 4. The monitoring of the turning tool wear process using an artificial neural networkChapter 5. Use of interprocess communication in parallel neural networks for monitoring complex systems; Part II: Collaborative and Responsive Manufacturing Systems; Chapter 6. Collaborative research on new manufacturing technologies organization; Chapter 7. Six sigma training programmes to help SME's improve; Chapter 8. The alignment of collaboration and the importance of integrated performance measurement; Chapter 9. The cultural and trust aspects of collaborative supply chains ; Part III: Concurrent EngineeringChapter 10. BM_Virtual enterprise architecture reference model for concurrent engineering and product improvement: An experiment; Chapter 11. Collaborative design review in a distributed environment; Chapter 12. Implementing manufacturing feature based design in CAD/CAM; Chapter 13. Learning and reasoning techniques for automatic feature recognition from CAD model; Chapter 14. Machining of large dies based on the prediction of the press/die deformation; Part IV: Digital Manufacturing ; Chapter 15. A model-based graphical user-interface for process control systems in manufacturingChapter 16. Product lifecycle management and information tracking using smart embedded systems applied to machine tools; Chapter 17. Product support knowledge; Chapter 18. Visual simulation of grinding process; Part V: E-manufacturing E-business and Virtual Enterprises; Chapter 19. Collaborative analysis among virtual teams: an experience; Chapter 20. Collaborative virtual research environment to support integration & steering of multi-site experiments ; Chapter 21. e-Cat-Members profiling and competency management tool for virtual organization breeding environmentChapter 22. E-collaboration: a literature analysis; Chapter 23. Learning the users view: information retrieval in a semantic network; Chapter 24. Leonardo da Vinci programme supports the development of e-learning methods in application to the vocational training in automation and robotics; Chapter 25. User-interface architectures for VE dynamic reconfiguration: an initial analysis ; Chapter 26. Using semantic web technologies to discover resources within the intranet of an organization
• Sommario/riassunto: I*PROMS 2005 is an online web-based conference. It provides a platform for presenting, discussing, and disseminating research results contributed by scientists and industrial practitioners active in the area of intelligent systems and soft computing techniques (such as fuzzy logic, neural networks, evolutionary algorithms, and knowledge-based systems) and their application in different areas of manufacturing. Comprised of 100 peer-reviewed articles, this important resource provides tools to help enterprises achieve goals critical to the future of manufacturing.I*PROMS is an European Un
• Titolo autorizzato: Intelligent production machines and systems
• ISBN: 1-281-11180-5; 9786611111809; 0-08-055634-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910826066403321
• Lo trovi qui: Univ. Federico II