Published October 2006 | Version v1
Journal article

Development of Novel Gas Brand Anti-Piracy System based on BP Neural Networks

  • 1. School of Aeronautics and Astronautics, Tongji University, Shanghai (China)
  • 2. Chinese-German School of Postgraduate Studies, Tongji University (China)

Description

The Wireless-net Close-loop gas brand anti-piracy system introduced in this paper is a new type of brand piracy technical product based on BP neural network. It is composed by gas brand piracy label possessing gas exhalation resource, ARM embedded gas-detector, GPRS wireless module and data base of merchandise information. First, the system obtains the information on the special label through gas sensor array ,then the attained signals are transferred into ARM Embedded board and identified by artificial neural network, and finally turns back the outcome of data collection and identification to the manufactures with the help of GPRS module

Availability note (English)

Available online at http://stacks.iop.org/1742-6596/48/611/jpconf6_48_114.pdf or at the Web site for the Journal of Physics. Conference Series (Online) (ISSN 1742-6596) http://www.iop.org/

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
48
Journal Issue
1
Journal Page Range
p. 611-615
ISSN
1742-6596

Conference

Title
International symposium on instrumentation science and technology
Dates
8-12 Aug 2006
Place
Harbin (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
38033688
Subject category
S75: CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY;
Resource subtype / Literary indicator
Conference
Descriptors DEI
DATA PROCESSING; IMAGE PROCESSING; INFORMATION; NEURAL NETWORKS; SECURITY; SIGNALS
Descriptors DEC
PROCESSING