Published October 2006
| Version v1
Journal article
Development of Novel Gas Brand Anti-Piracy System based on BP Neural Networks
Creators
- 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
Identifiers
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