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Jian-Ming C.,Changan University | Jian-Ming C.,Shaanxi Road Traffic Detection and Equipment Engineering Research Center
Journal of Convergence Information Technology | Year: 2010

Artificial neural networks and genetic algorithms derived from the corresponding simulation of biology, anatomy. The paper analyzes the advantages and the disadvantages of the artificial neural networks and genetic algorithms. The artificial neural networks and genetic algorithms to be combine in the prediction model. This method is used to predict traffic volume in a road, the accuracy of forecasting results improved significantly. Therefore, this simulation method in traffic prediction have a good prospect. Source

Cui J.-M.,Changan University | Cui J.-M.,Shaanxi Road Traffic Detection and Equipment Engineering Research Center
Advanced Materials Research | Year: 2011

With living standards improve, more and more attention of intelligent building. Follow that, required facilities of life, entertainment, security and other more and more to connect into the network. The IP address of the traditional IPv4 space is facing the depletion, facing a crisis of a large number of the access device; The IPv6 addresses solve such crisis. In this paper, framework an intelligent building system based on Ipv6, to achieve access to smart sensors, and to intelligent home facilities purposes. Source

Cui J.,Changan University | Cui J.,Shaanxi Road Traffic Detection and Equipment Engineering Research Center
Communications in Computer and Information Science | Year: 2011

In this paper, have been described using pattern recognition, is also introduced for use Bayes algorithm in pattern recognition. Pattern recognition is the machine identification, computer identification or machine Automatic Identification, aims is to automatically identify things in the machine. After the introduction of the Bayes algorithm, pattern recognition accuracy is improved, and the use of a template approach, so the speed has also been taking into account. © 2011 Springer-Verlag. Source

Kang J.,Changan University | Kang J.,Shaanxi Road Traffic Detection and Equipment Engineering Research Center
ICIC Express Letters | Year: 2011

In consideration of time-varying network-delay and data dropout, the problem of networked H∞ output tracking control law with external disturbances and parameter uncertainty is studied. A design method of H∞ output tracking controller to guarantee the constraints of quality of network service is proposed. By this method, both the quality of H∞ output tracking index and quality of network service can be guaranteed. © 2011 ISSN 1881-803X. Source

Cui J.-M.,Changan University | Cui J.-M.,Shaanxi Road Traffic Detection and Equipment Engineering Research Center
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | Year: 2012

Traffic informatization has significantly improved the transport efficiency and the internet of things (IoT) bring more new technology and new methods for the development of traffic informatization. The internet of vehicles (IoV) is subsequently generated and is now under developing. However, it has some technical problems in the application process, such as monitoring the detail component of vehicle. In this paper, a technology is proposed that is accessible the small parts of traffic equipment through BOA technology. If the hardware itself has embedded control interface, can the remote monitor be used to revise the components parameters through integration BOA with the interface. By this way, the whole or parts of the equipments can be monitored and optimized by integrating with the CAN bus. It can even reach a wide range of remoting access and monitoring parameters by setting up separated virtual IPv6 address for the BOA. Finally, the example of the controlled video surveillance with the BOA technology is used to demonstrate the feasibility of this technology. Source

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