báo cáo hóa học:" Editorial Challenges on Complexity and Connectivity in Embedded Systems"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Editorial Challenges on Complexity and Connectivity in Embedded Systems | Hindawi Publishing Corporation EURASIP Journal on Embedded Systems Volume 2009 Article ID 239679 2 pages doi 2009 239679 Editorial Challenges on Complexity and Connectivity in Embedded Systems Wilfried Elmenreich 1 Markus Kucera 2 Bernhard Rinner 1 Ralf Seepold 3 and Volker Turau4 1 University of Klagenfurt Insitute of Networked and Embedded Systems 9020 Klagenfurt Austria 2 University of Applied Sciences Regensburg 93049 Regensburg Germany 3 Universidad Carlos III de Madrid 28903 Madrid Spain 4Hamburg University of Technology 21071 Hamburg Germany Correspondence should be addressed to Wilfried Elmenreich Received 21 April 2009 Accepted 21 April 2009 Copyright 2009 Wilfried Elmenreich et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Technology advances and a growing field of applications have been a constant driving factor for embedded systems over the past years. However the increasing complexity of embedded systems and the emerging trend to interconnections between them lead to new challenges. Intelligent solutions are necessary to solve these challenges and to provide reliable and secure systems to the customer under a strict time and financial budget. Typically intelligent solutions often come up with an orthogonal and interdisciplinary approach in contrast to traditional ways of engineering solutions. Many possible intelligent methods for embedded systems are biologically inspired such as neural networks and genetic algorithms. Multiagent systems are also prospective for an application for nontime critical services of embedded systems. Another field is soft computing which allows a sophisticated modeling and processing of imprecise sensory data. Thus as expected we received a variety of papers with interesting solutions within the topic of the special .

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