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2007 ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security (BLISS 2007)
Accelerating Decision Making Support in Biometric Assistant for Remote Temperature Measures
Edinburgh, United Kingdom
August 09-August 10
ISBN: 0-7695-2919-4
ASCII Text
x 
 
V. P. Shmerko, S. N. Yanushkevich, H. Moon, A. Stoica, R. R. Yager, "Accelerating Decision Making Support in Biometric Assistant for Remote Temperature Measures," Bio-inspired, Learning, and Intelligent Systems for Security, ECSIS Symposium on, pp. 11-14, 2007 ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security (BLISS 2007), 2007.
 
 
BibTex
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@article{ 10.1109/BLISS.2007.38,
author = {V. P. Shmerko and S. N. Yanushkevich and H. Moon and A. Stoica and R. R. Yager},
title = {Accelerating Decision Making Support in Biometric Assistant for Remote Temperature Measures},
journal ={Bio-inspired, Learning, and Intelligent Systems for Security, ECSIS Symposium on},
volume = {0},
year = {2007},
isbn = {0-7695-2919-4},
pages = {11-14},
doi = {http://doi.ieeecomputersociety.org/10.1109/BLISS.2007.38},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Bio-inspired, Learning, and Intelligent Systems for Security, ECSIS Symposium on
TI - Accelerating Decision Making Support in Biometric Assistant for Remote Temperature Measures
SN - 0-7695-2919-4
SP11
EP14
A1 - V. P. Shmerko,
A1 - S. N. Yanushkevich,
A1 - H. Moon,
A1 - A. Stoica,
A1 - R. R. Yager,
PY - 2007
KW - null
VL - 0
JA - Bio-inspired, Learning, and Intelligent Systems for Security, ECSIS Symposium on
ER -
 
V. P. Shmerko, University of Calgary, Canada
S. N. Yanushkevich, University of Calgary, Canada
H. Moon, University of Calgary, Canada
A. Stoica, NASA, USA
R. R. Yager, Iona College, USA
This paper aims to contribute to the practice of biometrics-based physical access control system design. Such a system is the distributed network of biometric-based assistants. Assistants are considered to be decision making support components in a system. In this paper, the techniques for accelerating decision making support for remote temperature measures are proposed. These techniques are based on semantic interpretation of biometric data, in particular, infrared images, implemented as accelerators using field-programmable gate arrays (FPGAs). Semantics are based on the theory of belief functions, concerned with the problem of representing and manipulating uncertain information.
Citation:
V. P. Shmerko, S. N. Yanushkevich, H. Moon, A. Stoica, R. R. Yager, "Accelerating Decision Making Support in Biometric Assistant for Remote Temperature Measures," bliss, pp.11-14, 2007 ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security (BLISS 2007), 2007
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