Air Quality Management using a Multi-Agent System
[J24] E. Kalapanidas and N. Avouris, Air Quality Management using a Multi-Agent System, Int. J. Computer-Aided Civil and Infrastructure Engineering, Special Issue in Environmental Applications of Artificial Intelligence, 17 (2), pp. 119-130, 2002. (pdf)

Management of urban atmospheric pollution necessitates advanced modeling and information processing techniques. The design of the prototype system DNEMO, which is based on a distributed adaptive problem solving approach is the focus of the research reported in this paper. Issues covered in the paper relate to the distributed nature of this environmental problem, handling noise and uncertainty in monitoring data, achieving graceful degradation of performance and system robustness, adaptation of system performance to long-term evolution of the monitored phenomena. The research reported can be applicable to a broad class of Environmental Monitoring applications, since the problems addressed are common to many environmental problems.

Computer-supported collaborative learning has been an active area of research since the beginning for the HCI group more>>

Web usability team of the HCI Group has been active in studying human-web interaction and ways to support the design of accessible, findable, usable and aesthetically appealing web sites. more>>

Mobile Technology Unit of the HCI Group has been studying design and evaluation of mobile applicationss more>>

Hci Group | Electrical and Computer Engineering | University of Patras