/Usr = JoeSchmow pass = hey>
Engineering Systems of
the new century need to be autonomous to meet the challenge of flexibility and
customized design requirements imposed on manufacturing and service systems
by the global economy. The research focus of the Smart Engineering Systems
Lab (SESL) is to build "smart" components for engineering systems
currently available today. The term "smart" in this context
indicates physical systems that can interact with their environment and
adapt to changes both in space and time by their ability to manipulate the
environment through self-awareness and perceived models of the world based
on both quantitative and qualitative information. The emerging fields of
artificial neural networks, fuzzy logic, evolutionary programming, chaos,
wavelets, fractals, complex systems, and virtual reality provide essential
tools for designing such systems.
The focus of the SESL is
developing smart engineering architectures that integrate and/or enhance
the current and future technologies necessary for developing smart
engineering systems while illustrating the real life application of these
architectures. The smart engineering system design and operations cut
across a diversity of disciplines, namely: Manufacturing, Electrical,
Computer, Mechanical, Bio-Medical, Civil and other related fields such as
Applied Mathematics, Cognitive Sciences, Biology, and Medicine. Current
research topics include adaptive global stock management, data mining,
artificial life, evolutionary robotics, internet-based pattern recognition,
adaptive assessment of System Engineering practices, and autonomous
continuous assessment of railway bridge safety. Capabilities of the
developed computational intelligence models are demonstrated physically in
the lab through mini autonomous research robots.
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Last updated: 11 November, 2002 08:33:51 AM
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