NDLI: The study on attemperment arithmetic based on neural network of logistics distribution tracking and attemperment system used GSM cellular phone (July 2005)

Content Provider	IEEE Xplore Digital Library
Author	JiaJu Wu Gang Liu Peng Liu ChuanYu Xi
Copyright Year	2005
Description	Author affiliation: Inst. of Comput. Appl., Acad. of Eng. Phys., Sichuan, China (JiaJu Wu; Gang Liu; Peng Liu; ChuanYu Xi)
Abstract	The logistics distribution is being more and more important in our modern city. The tracking and attemperment of the goods are also more and more necessary in the logistics distribution system. In traditional logistics distribution system, there are almost no tracking. The attemperment is also not done in real time. With the evolution of the GSM (Global System for Mobile communication) cellular phone, the position information and control information can be got from GSM cellular phone. In this paper, a logistics distribution tracking and attemperment system based on GSM cellular phone is introduced. The position information of package can be sent to the control center through the cellular phone of the distributor, using the service of China Mobile. The attemperment information can also be sent to the distributor by the SMS (short message system) of cellular phone. The neural network and Floyd minimum routing arithmetic are used in analyzing the best routing. The architecture of this system is shown in the paper. Architecture of the neural network topology is also shown. The technology used in this system is also illuminated in detail. Finally, the application prototype of this system is made out. As a result, the running result is made out.
Sponsorship	IEEE Comput. Intelligence Soc
Starting Page	284
Ending Page	287
File Size	2455789
Page Count	4
File Format	PDF
ISBN	0780390172
DOI	10.1109/GRC.2005.1547286
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	GSM Communication system control logistics distribution Routing Control systems neural network Cellular phones Neural networks attemperment Cities and towns Cellular neural networks Arithmetic Logistics
Content Type	Text
Resource Type	Article

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