|
Activity Number:
|
245
|
|
Type:
|
Invited
|
|
Date/Time:
|
Tuesday, August 4, 2009 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
Section on Physical and Engineering Sciences
|
| Abstract - #302968 |
|
Title:
|
Detection of Nuclear Material Entering Ports: An Analytic Framework for Data and Policy Analysis
|
|
Author(s):
|
Siddhartha Dalal*+
|
|
Companies:
|
RAND Corporation
|
|
Address:
|
1776 Main Street, Santa Monica, CA, 90405,
|
|
Keywords:
|
Machine Learning ; Illicit Nuclear Material ; Radiation Portals ; Optimal Decision Rules ; Policy Implications for design
|
|
Abstract:
|
Given the mandate by US Congress that all goods entering US should be inspected for illicit nuclear material, most nations are moving towards one hundred percent inspection of all containers entering US at various ports of entry for nuclear material. Towards that end radiation portals have been deployed at most ports of entry. We propose a new Naïve Bayes based learning approach to create a real time decision system to detect illicit nuclear material and study its robustness and optimality properties. Further, we also derive and discuss policy implications regarding the design of hardware, software and decision analytics used in portals.
|
- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
Back to the full JSM 2009 program |
