Chief Engineer at Lawrence Livermore National Laboratory
Location:
San Francisco Bay Area
Industry:
Industrial Automation
Work:
Lawrence Livermore National Laboratory
Chief Engineer
Lawrence Livermore National Laboratory 2002 - 2012
Engineer
Indio Systems 2001 - 2002
Control Systems Engineer
Education:
Stanford University 2000 - 2005
University of Arizona
2012 to 2000 Sales RepresentativeEvents & Adventures
2012 to 2000 Traffic ClerkApex Casket Hayward, CA Mar 2013 to Oct 2013 Sales Rep/Office ManagerFedEx San Jose, CA 2008 to 2011 Assistant Manager / DriverBarracuda Networks Campbell, CA 2006 to 2008 Supervisor / Lead ShipperUglys Bar Mountain View, CA 2005 to 2006 Acting Manager / BartenderQuality Inn and Suites Mountain View, CA 2003 to 2005 Night Auditor
James Candy - Danville CA, US David Chambers - Livermore CA, US Brian Guidry - Tracy CA, US Andrew Poggio - Livermore CA, US Christopher Robbins - Livermore CA, US
International Classification:
H04L 27/00
US Classification:
375259000
Abstract:
A communication system for transmitting a signal through a channel medium comprising digitizing the signal, time-reversing the digitized signal, and transmitting the signal through the channel medium. In one embodiment a transmitter is adapted to transmit the signal, a multiplicity of receivers are adapted to receive the signal, a digitizer digitizes the signal, and a time-reversal signal processor is adapted to time-reverse the digitized signal. An embodiment of the present invention includes multi bit implementations. Another embodiment of the present invention includes 1-bit implementations. Another embodiment of the present invention includes a multiplicity of receivers used in the step of transmitting the signal through the channel medium.
Physics-Based, Bayesian Sequential Detection Method And System For Radioactive Contraband
James V. Candy - Danville CA, US Michael C. Axelrod - San Ramon CA, US Eric F. Breitfeller - Dublin CA, US David H. Chambers - Livermore CA, US Brian L. Guidry - Livermore CA, US Douglas R. Manatt - Livermore CA, US Alan W. Meyer - Danville CA, US Kenneth E. Sale - Castro Valley CA, US
International Classification:
G06N 5/02
US Classification:
706 52
Abstract:
A distributed sequential method and system for detecting and identifying radioactive contraband from highly uncertain (noisy) low-count, radionuclide measurements, i.e. an event mode sequence (EMS), using a statistical approach based on Bayesian inference and physics-model-based signal processing based on the representation of a radionuclide as a monoenergetic decomposition of monoenergetic sources. For a given photon event of the EMS, the appropriate monoenergy processing channel is determined using a confidence interval condition-based discriminator for the energy amplitude and interarrival time. If accepted the parameter values of the photon event are used to update the parameter values using an LKF for the energy amplitude and a bootstrap PF for the interarrival times. These parameter estimates are then used to update a measured probability density function estimate for a target radionuclide. A a sequential likelihood ratio test, which is based in part on a previous sequential likelihood ratio for a previous photon event, the updated measured PDF estimates, and the an a-priori PDF estimates based on expected amplitude level and interarrival time values of the target radionuclide, is then used to determine one of two threshold conditions signifying that the EMS is either identified as the target radionuclide or as not the target radionuclide, and if not, then repeating the process with for the next sequential photon event of the EMS until one of the two threshold conditions is satisfied.
Saint Mel School Woodland Hills CA 1970-1973, Nagoya International High School Nagoya PA 1973-1976, Santiago Elementary School Lake Forest CA 1975-1976