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rescuenet.cs.pdx.edu

RescueNet Home Page

Embedded In-Building Sensor Network to Assist Disaster Rescue. PI) Professor of Computer Sciense. Co-PI) Professor of Communications and Networking. Co-PI) Professor of Civil Engineering. Produce a CAT scan-like view of the interior of a collapsed building to aid disaster rescue. Specifically,. Provide a 3D view of the collapsed interior indicating the structurally strong support walls and cavities. An error estimate on the reconstruction. Heartbeat sensors locate survivors in cavities.

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Embedded In-Building Sensor Network to Assist Disaster Rescue. PI) Professor of Computer Sciense. Co-PI) Professor of Communications and Networking. Co-PI) Professor of Civil Engineering. Produce a CAT scan-like view of the interior of a collapsed building to aid disaster rescue. Specifically,. Provide a 3D view of the collapsed interior indicating the structurally strong support walls and cavities. An error estimate on the reconstruction. Heartbeat sensors locate survivors in cavities.
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RescueNet Home Page | rescuenet.cs.pdx.edu Reviews

https://rescuenet.cs.pdx.edu

Embedded In-Building Sensor Network to Assist Disaster Rescue. PI) Professor of Computer Sciense. Co-PI) Professor of Communications and Networking. Co-PI) Professor of Civil Engineering. Produce a CAT scan-like view of the interior of a collapsed building to aid disaster rescue. Specifically,. Provide a 3D view of the collapsed interior indicating the structurally strong support walls and cavities. An error estimate on the reconstruction. Heartbeat sensors locate survivors in cavities.

INTERNAL PAGES

rescuenet.cs.pdx.edu rescuenet.cs.pdx.edu
1

RescueNet: Publications

http://rescuenet.cs.pdx.edu/publications.html

Embedded In-Building Sensor Network to Assist Disaster Rescue. NSF ITR Meeting June 9-11, 2004 Poster. On Acquisition of Wideband Direct-Sequence Spread Spectrum Signals. Acquisition of Direct-Sequence Ultra-Wideband Signals. Analysis of Throughput and Energy Efficiency of p-persistent CSMA with Imperfect Carrier Sensing. Department of Computer Science, Portland State University Modified: Feb. 04, 2005 by webmaster.

2

RescueNet People

http://rescuenet.cs.pdx.edu/people.html

Embedded In-Building Sensor Network to Assist Disaster Rescue. Professor of Computer Science, Portland State University. PhD CS, University of Massachusetts, Amherst, 1990. Professor of Communications and Networking, University of Washington. PhD EE, University of California, Santa Barbara, 1988. Professor of Civil Engineering, Portland State University. PhD University of Texas, Austin, 1973. EE, University of Washington. CS, Portland State University.

3

UWB Database [RescueNet]

http://rescuenet.cs.pdx.edu/UWB_Database.html

Embedded In-Building Sensor Network to Assist Disaster Rescue. To see a list of measurement files in the database that matches parameters, fill in the parameters below and press submit button. Concrete and Plywood and Drywall. Reinforced concrete and Plywood. Reinforced concrete and Drywall. Reinforced concrete and Plywood and Drywall. Distance between the two radios (cm)? Thickness of each Material used. Concrete:4.5 in, 6.5 in, or 8 in. Plywood: 0.5 in. Drywall: 0.5 in. Reinforced concrete: 7.5 in.

4

RescueNet Home Page

http://rescuenet.cs.pdx.edu/index.html

Embedded In-Building Sensor Network to Assist Disaster Rescue. PI) Professor of Computer Sciense. Co-PI) Professor of Communications and Networking. Co-PI) Professor of Civil Engineering. Produce a CAT scan-like view of the interior of a collapsed building to aid disaster rescue. Specifically,. Provide a 3D view of the collapsed interior indicating the structurally strong support walls and cavities. An error estimate on the reconstruction. Heartbeat sensors locate survivors in cavities.

5

FAQ [RescueNet]

http://rescuenet.cs.pdx.edu/faq.html

Embedded In-Building Sensor Network to Assist Disaster Rescue. 1 What is ultra wideband radio technology? 2 What was the UWB measurement setup? 3 What materials were used in measurement? 4 How thick was each material? 5 How do I get RescueNet UWB measurement data? 6 What does data files and header files in query result contain? 1 What is ultra wideband radio technology? 2 What was the UWB measurement setup? 3 What materials were used in measurement? 4 How thick was each material? Concrete: 6.5 in. Choose...

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Embedded In-Building Sensor Network to Assist Disaster Rescue. PI) Professor of Computer Sciense. Co-PI) Professor of Communications and Networking. Co-PI) Professor of Civil Engineering. Produce a CAT scan-like view of the interior of a collapsed building to aid disaster rescue. Specifically,. Provide a 3D view of the collapsed interior indicating the structurally strong support walls and cavities. An error estimate on the reconstruction. Heartbeat sensors locate survivors in cavities.

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