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Challenges on Complexity and Connectivity in Embedded Systems
- Source :
- EURASIP Journal on Embedded Systems, Vol 2009 (2009), EURASIP Journal on Embedded Systems, Vol 2009, Iss 1, p 239679 (2009)
- Publication Year :
- 2009
- Publisher :
- SpringerOpen, 2009.
-
Abstract
- 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 issue. We hope that this special issue will be as inspiring as it was for the editorial team.
- Subjects :
- Soft computing
General Computer Science
Artificial neural network
business.industry
Computer science
Multi-agent system
lcsh:Electronics
lcsh:TK7800-8360
Field (computer science)
Variety (cybernetics)
Constant (computer programming)
Control and Systems Engineering
Editorial team
Embedded system
business
Computer Science(all)
Subjects
Details
- Language :
- English
- ISSN :
- 16873963 and 16873955
- Volume :
- 2009
- Database :
- OpenAIRE
- Journal :
- EURASIP Journal on Embedded Systems
- Accession number :
- edsair.doi.dedup.....207348bf974fa5e808fc8987b3ceecf5