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Emergency Response Breakout Group Prof. Steven Glaser (glaser@ce.berkeley.edu) Participants:
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Emergencies to Monitor – the list can become endless Environmental and Physical parameters Scaling issues for all varieties of sensed data and scenarios Integration of models and sensing for prognostication Multi-use dynamically adaptive sensor networks
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particular, detailed, code-driven approach vs. providing an information technology framework adaptable to a wide variety of future applications - scalable, distributed, adaptive, reprogramable
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"Non-Engineering" Issues Social impacts of “better” information Delivery of knowledge to humans in real time Social impacts of false positive/false negative prognostication Is there a level of knowledge above which more is actually a hindrance? Social issues surrounding immediate evacuation Privacy issues grow out of the inherent multi-use of sensor base
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ROBUSTNESS
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Distributed Processing Issues The new power we have is from the local, ubiquitous, self- assembling, etc. sensor/MCU network Can't possibly get all the data recorded out of the system (bandwidth issues) perform inverse models locally among Motes - where is value added compared to investment sliding levels of data abstraction - compression and coding downloading of local, detailed data vs. local decision-making solution techniques are robust w.r.t loss of network elements reduction of information detail can be tailored to a particular task a wide variety of inverse problems can be mapped to simpler “searches” over sensor space the model instructs the Mote assemblage to re-configure in order to vary characterization granularity (self-scaling)
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Current Projects Shake table test of 3-story wood-frame building at Richmond Field Station (PEER/CUREe) Dynamic testing of drilled shaft (Underhill lot) "Liquefaction by Explosives" test of Quay wall and ground improvements (Tokachi Port, Hokkaido)
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Proof of Concept: Instrument the Golden Gate Bridge! Have a prototype structural health monitoring system up and running within 2 years
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