Update on Current Research Agenda Jim Demmel, Chief Scientist EECS and Math Depts. www.citris.berkeley.edu UC Santa Cruz.

Slides:



Advertisements
Similar presentations
Introduction Build and impact metric data provided by the SGIG recipients convey the type and extent of technology deployment, as well as its effect on.
Advertisements

High Performance Commercial Buildings Initiative December 21, 2007 Energy efficiency, demand response, and Smart Buildings The CITRIS project funded by.
Vendor Briefing May 26, 2006 AMI Overview & Communications TCM.
Presented by : Poorya Ghafoorpoor Yazdi Eastern Mediterranean University Mechanical Engineering Department Master Thesis Presentation Eastern Mediterranean.
February 21, 2008 Center for Hybrid and Embedded Software Systems Cyber-Physical Systems (CPS): Orchestrating networked.
Wireless Sensor Networks for Habitat Monitoring
Prepared By: Kopila Sharma  Enables communication between two or more system.  Uses standard network protocols for communication.  Do.
1 UC Santa Cruz Foundation Board Meeting Sung-Mo (Steve) Kang Dean, Baskin School of Engineering April 5, 2002.
Center for Information Technology Research in the Interest of Society Jim Demmel, Chief Scientist UC Santa Cruz.
Smart Buildings and Smart Energy CITRIS Kickoff meeting – Sept J. Rabaey College of Engineering, University of California at Berkeley.
Wireless Sensor Networks Haywood Ho
Systems Wireless EmBedded Welcome to the NEST Retreat David Culler Eric Brewer, David Wagner Shankar Sastry, Kris Pister.
Keep It Physical, Keep It Real Steven Glaser Center for Information Technology Research in the Interest of Society UC Berkeley College of Engineering
The Cougar Approach to In-Network Query Processing in Sensor Networks By Yong Yao and Johannes Gehrke Cornell University Presented by Penelope Brooks.
Interactive and Collaborative Visualization and Exploration of Massive Data Sets ---- UC Davis Visualization Investigators: Bernd Hamann, Ken Joy, Kwan-Liu.
Wireless Embedded Systems (WEBS) Open Platform Pretreat David Culler May 18, 2001.
FCM MEETING1 CITRIS Founding Corporate Members Meeting Thursday, February 27, 2003 University of California Berkeley - University of California Davis University.
How Energy Efficiency and Demand Response can Help Air Quality Presentation to the California Electricity and Air Quality Conference October 3, 2006 Mary.
What’s Really Happening?. Building Smart, Building Green… Smart building technologies can improve buildings’ energy efficiency and indoor environmental.
CITRIS Scientific Program Overview Jim Demmel, Chief Scientist UC Santa Cruz.
March 13, 2004Securing Privacy Conference1 SENSOR NETWORKS & PRIVACY Pamela Samuelson, UC Berkeley, Securing Privacy Conference, March 13, 2004.
ProActive Infrastructure Eric Brewer, David Culler, Anthony Joseph, Randy Katz Computer Science Division U.C. Berkeley ninja.cs.berkeley.edu Active Networks.
Connecting the Invisible Extremes of Computing David Culler U.C. Berkeley Summer Inst. on Invisible Computing July,
Societal Scale Civil Infrastructure Gregory L. Fenves Department of Civil & Environmental Engineering UC Santa Cruz.
Teleoperation and Teleparticipation of Instructional Shake Tables Using the NEES Cyberinfrastructure S.J. Dyke 1, Z. Jiang 2, R. Christenson 2, X. Gao.
February 11, 2010 Center for Hybrid and Embedded Software Systems Cyber-Physical Systems (CPS): Orchestrating networked.
Monitoring Structural Response to Earthquakes using Wireless Sensor Networks Judith Mitrani June 18, 2002.
Founding Corporate Members Meeting June 11, 2002 Quo Vadis CITRIS? by Ruzena Bajcsy.
BITS Berkeley Information Technology & Systems A New Research Center at UCB September 17, 2001.
Smart Buildings and Smart Energy CITRIS Kickoff meeting – Sept J. Rabaey College of Engineering, University of California at Berkeley.
Wireless Sensor Networks Smart Environments: Technologies, Protocols, and Applications ed. D.J. Cook and S.K. Das, John Wiley, New York, B.Devi
Intel ® Research mote Ralph Kling Intel Corporation Research Santa Clara, CA.
WISENET Wireless Sensor Network Project Team: J. Dunne D. Patnode Advisors: Dr. Malinowski Dr. Schertz.
Wireless Sensor Networks
Smart Home Technologies CSE 4392 / CSE 5392 Spring 2006 Manfred Huber
Smart Cities & Smart Utility
Smart Buildings Microgrid Innovations Energy and Construction Best Practices Summit | June 23, 2011.
Protocols for Video Conferencing and Surveillance You Are Here Brian Schott Ladan Gharai Colin Perkins Carl Worth NETEX Industry Day September, 2001.
1 CITRIS OVERVIEW April 2004 UC BERKELEY UC DAVIS UC MERCED UC SANTA CRUZ Ruzena Bajcsy.
INTERNET OF THINGS Challenges of 21 st century and Technological innovation February -2011
Microcontroller-Based Wireless Sensor Networks
Panoptes: Low-Power, Scalable Video Sensor Networking Technologies Wu-chi Feng, Ed Kaiser, Brian Code, Mike Shea, Wu-chang Feng, Louis Bavoil Department.
Energy Efficient Digital Networks Rich Brown Lawrence Berkeley National Laboratory Presentation to DOE State Energy Advisory Board Meeting August 14, 2007.
TRUST NSF Site Visit, Berkeley, March, 2007 Sensor Networks: Technology Transfer Stephen Wicker – Cornell University.
Overview of PlanetLab and Allied Research Test Beds.
Center for Firefighter Safety Research and Development.
1 High Performance Buildings Research & Implementation Center (HiPer BRIC) Proposal for National Lab-Industry-University Partnership Proposal for National.
California Energy Commission - Public Interest Energy Research Program Demand Response Research Center Research Overview Load Management Informational.
April 8, 2011Page 1 April 8, 2011 The University of Texas Interdisciplinary Energy Conference Overcoming Barriers to Smart Grid & New Energy Services Panel.
A presentation on SMART DUST
Advanced Controls and Sensors David G. Hansen. Advanced Controls and Sensors Planning Process.
Systems Wireless EmBedded Wireless Sensor Nets Turning the Physical World into Information David Culler Electrical Engineering and Computer Sciences University.
Energy conservation in Wireless Sensor Networks Sagnik Bhattacharya, Tarek Abdelzaher University of Virginia, Department of Computer Science School of.
High-Efficiency Buildings and Demand Response Phillip Price Mary Ann Piette Demand Response Research Center Lawrence Berkeley National Laboratory.
ProActive Infrastructure Eric Brewer, David Culler, Anthony Joseph, Randy Katz Computer Science Division U.C. Berkeley ninja.cs.berkeley.edu Active Networks.
Wireless Sensing and Control of the Indoor Environment in Buildings  Objective: Develop techniques to improve building operation through intensive wireless.
Fuzzy Data Collection in Sensor Networks Lee Cranford Marguerite Doman July 27, 2006.
SMART GRID A smart grid for intelligent energy use. By: Suhani Gupta.
Societal-Scale Computing: The eXtremes Scalable, Available Internet Services Information Appliances Client Server Clusters Massive Cluster Gigabit Ethernet.
Euro-Par, HASTE: An Adaptive Middleware for Supporting Time-Critical Event Handling in Distributed Environments ICAC 2008 Conference June 2 nd,
Metering Americas April 24, 2006 Advanced Metering.
Portland State University Smart Grid Class Enabling active consumer participation 20 April 2009 Presentation: History Politics Economics Technology.
February 14, 2013 Center for Hybrid and Embedded Software Systems Organization Faculty Edward A. Lee, EECS Alberto Sangiovanni-Vincentelli,
- Pritam Kumat - TE(2) 1.  Introduction  Architecture  Routing Techniques  Node Components  Hardware Specification  Application 2.
DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING CLOUD COMPUTING
TRUST:Team for Research in Ubiquitous Secure Technologies
Natural Hazard Mitigation
IBM Pervasive Computing Visit June 9, 1997
TRUST:Team for Research in Ubiquitous Secure Technologies
Presentation transcript:

Update on Current Research Agenda Jim Demmel, Chief Scientist EECS and Math Depts. UC Santa Cruz

Outline  Big Vision  A few recent highlights  Tying it together

Applications The CITRIS Model Core Technologies Foundations Reliability Reliability Availability Availability Security Security Algorithms Algorithms Social, policy issues Social, policy issues Distributed Info Systems Distributed Info Systems Micro sensors/actuators Micro sensors/actuators Human-Comp Interaction Human-Comp Interaction Disaster Disaster Energy Energy Education Education Societal-Scale Information Systems Societal-Scale Information Systems(SIS) Transportation Transportation Health Health Environment Environment

Societal-Scale Systems “Client” “Server” Clusters Massive Cluster Gigabit Ethernet Secure, non-stop utility Diverse components Adapts to interfaces/users Always connected MEMS Sensors Scalable, Reliable, Secure Services Information Appliances

Outline  Big Vision  A few recent highlights  Sensor Nets (Culler)  Disaster Response  Energy Efficiency  Tying it together

February 2000 February 2001 February 2002 August 2001

Ad-hoc sensor networks work  29 Palms Marine Base, March 2001  10 Motes dropped from an airplane landed, formed a wireless network, detected passing vehicles, and radioed information back  Intel Developers Forum, Aug 2001  800 Motes running TinyOS hidden in auditorium seats started up and formed a wireless network as participants passed them around  tinyos.millennium.berkeley.edu tinyos.millennium.berkeley.edu

Smart Dust Goes National Selected as DARPA networked embedded system tech open platform (NEST) Selected as DARPA networked embedded system tech open platform (NEST) 1000s of Motes used or shipped to other groups 1000s of Motes used or shipped to other groups q Academia: UCSD, UCLA, USC, MIT, Rutgers, Dartmouth, U. Illinois UC, NCSA, U. Virginia, U. Washington, Ohio State q Industry: Intel, Crossbow, Bosch, Accenture, Mitre, Xerox PARC, Kestrel q Government: Wright Patterson AFB, NCSC q Ongoing training courses

Outline  Big Vision  A few recent highlights  Sensor Nets  Disaster Response (Fenves)  Energy Efficiency  Tying it together

What is Disaster Response? Sensors for motion, occupancy, dangerous conditions and substances Sensors for motion, occupancy, dangerous conditions and substances Guide occupants, emergency personnel, assess safety Guide occupants, emergency personnel, assess safety

Seismic Monitoring of Buildings Part of the CUREe-Caltech Tuck-Under Parking Apartment Building Experiment Many such buildings severely damaged in 1994 Northridge Earthquake. Dynamic experimental evaluation of a full-scale structure on the Richmond Field Station shake table.

Seismic Monitoring of Buildings Before CITRIS $8,000 each

Seismic Monitoring of Buildings: With CITRIS Wireless Motes $70 each

Tokachi Port, Hokkaido Blast-induced Liquefaction Test

ours theirs

Post-Blast Liquefaction

A commercial product  Crossbow CN4000 Wireless Structural Monitoring System  3D Accelerometer  12 bits of resolution, up to 2G  Temperature  -40 o C to +85 o C, to within  2 o C  Wireless communication  1 mile line-of-site range 

Outline  Big Vision  A few recent highlights  Sensor Nets  Disaster Response  Energy Efficiency (Arens)  Tying it together

The Inelasticity of California’s Electrical Supply MW $/MWh Power-exchange market price for electricity versus load (California, Summer 2000)

How to Address the Inelasticity of the Supply  Reduce demand, or spread demand over time  Make cost of energy visible to end-user function of load curve  “Real-time pricing” Phase 1: Expose energy usage to user; helps eliminate waste Phase 2: Expose real-time prices to user Phase 3: Automatic control to optimize price, safety, user comfort, other economic goals  Improve efficiency of generation and distribution network (supply side) Enabled by Information!

Cory Hall Energy Monitoring Network  50 nodes on 4 th floor  30 sec sampling  250K samples to database over 6 weeks  Moved to Intel Berkeley Lab – come play!

Outline  Big Vision  A few recent highlights  Tying it together  Shared System Goals  Shared Testbeds  Shared Funding Sources  Engineering Support

A shared system goal – A Smart Building  Normal Operation  Power  HVAC  Data  Computing  Communication  Information services  With security  Reliable  Subject to legal mandates  Easy to use  Design a new building or retrofit an old one so you get the services you want at a price you can pay  Researchers (not all listed!)  Oren, Arens, Auslander, Goldberg, Pister, Sastry  Arens, Selkowitz, Auslander, Agogino, Rabaey  Patterson, Kubi, Franklin, Hellerstein, Yelick  Culler, Brewer  Rabaey, Culler, Pister, Yoo  Katz, Joseph, Stoica  Tygar, Wagner  Aiken, Necula, Henzinger  Samuelson, Mulligan  Canny, Landay, Mankoff

Shared system goal – A Smart Building  Abnormal Operation  Structural integrity  Fire  Toxic substances  Medical Emergency  Researchers  Fenves, Glaser  Glaser, Sitar, Radke, Sengupta, White, Landay  Lee  Budinger

Shared Testbeds  Cory Sensor Net (past and future)  Intel Lab Sensor Net  Instrumented rooms at Center for the Built Environment  Instrumented rooms at LBNL  New CITRIS Building  New Merced Buildings

Shared Funding Sources  CITRIS ITR from NSF ($7.5M)  California Energy Commission ($3M)  DARPA NEST Grant ($2.5M)  Social Science Fellowships (CITRIS Operational Funds)  SABER NSF ERC proposal ($17M - proposed)