saf ety. net Ubiquit ous Comput ing f or Disast er Mit igat ion, - - PowerPoint PPT Presentation

CRA Grand Challenges. CRA Grand Challenges. 1 1

saf ety. net

Ubiquit ous Comput ing f or Disast er Mit igat ion, Response and Recovery

Friday, J uly 5

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Mission St at ement

To save lives and minimize damage f rom disast ers t hrough t imely prevent ion, det ect ion, predict ion, and coordinat ion. Enabled by breakt hroughs in ubiquit ous sensing/ act uat ion, comput at ion, analysis and communicat ion syst ems.

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Technical Challenges

ext reme environment s and real-t ime response ! Embedded mult i-modal sensor/ act uat or

syst ems archit ect ure

! Sensor/ act uat or & communicat ion

services

! Sensor inf ormat ion f usion, analysis ! Coordinat ed response

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Embedded mult i-modal sensor / act uat or syst ems archit ect ure

! Syst ems t hat combine inst alled,

st rat egically deployed, and mobile nodes t o sense and respond t o disast ers and f ollow-

• n event s

! Rapid and adapt ive conf igurat ion ! Adapt ive and collabor at ive

sensing/ act uat ion among r esource- const rained devices (BW, st orage, power)

! Biocompat ible devices f or medical

assessment , delivery

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Sensor/ act uat or & communicat ion services

! Localizat ion and mapping (of vict ims,

rescuer s, resources,… )

! Resource mobilizat ion (e.g., robot s,

sensor s, act uat or s)

! Real t ime response ! Secure, robust , communicat ion syst ems

» Recovery f rom f ault y net works » Reconf igurable net works (self -*)

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Sensor inf ormat ion processing

! I nf ormat ion f ood chain

» Calibrat ion of devices » From signals t o inf ormat ion » Fusion of mult iple sensor modalit ies » Learning usual and unusual pat t erns

! I nt egrat ion wit h ext ernal inf ormat ion sources

» e.g. building blueprint s, ut ilit ies plan, t ransport at ion syst ems, individuals as sensors » Mining and analysis across het erogeneous, unreliable dat a bases

! Modeling, predict ion, planning, and visualizat ion of

environment changes due t o disast er

» e.g., st ruct ure collapse, micro-met eorology, “what if ” scenarios

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Coordinat ing Response

(I ncident Command Response)

! Command and cont rol

» logist ics, t racking » st at us repor t ing » dynamic device and resource reconf igurat ion

! Communicat ion

» dat a disseminat ion » language t ranslat ion

! I nt erf aces

» st ressed-user int erf aces » mult iple visualizat ion f ormat s

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Met rics f or Success

! Saved lives ! I nj ury mit igat ion ! Response-t ime reduct ion ! Cost per response ! Mort alit y of rescuers ! Rat e of Technology adopt ion ! I ncrease in prevent ing disast ers

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Social Barriers

! Monit oring concerns

» Privacy » I nvasiveness

! Trust of t he syst em

» Saf et y » Rescue personnel resist unproven t echnology

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Spin-of f s: From React ive t o Proact ive

!

Prevent at ive healt h care (e.g., eldercare)

!

Prevent ing incipient and secondary disast ers (e.g., st ruct ural int egrit y monit oring)

!

Cont aining environment al degradat ion (e.g., cont aminant s, CO2, biodiversit y… )

!

I nt elligent t ransport at ion syst ems

!

Smart spaces (e.g., classrooms) Accelerat ed deployment of ubiquit ous comput ing t o improve qualit y of lif e