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Zhang C.,Suzhou Industrial Park Institute of Services Outsourcing
Computer Modelling and New Technologies

Network model in wireless sensor integrates wireless communication technology, sensor technology and embedded computer technology. This new computer pattern is the joint elements in current network hot technology. Self-organizing feature Map is also termed as SOM network. It can solve conception problem, which can only be fulfilled by human brain nervous tissue. We integrated computer information applying SOM and wireless sensor technology to realize information integration model. We made a conclusion of the characteristics of wireless sensor network model and studied its protocol architecture. We induced information integration system into software engineering and developed it into application in all industries and areas in the perspective of definition, structure, classification and calculation of information integration. This paper integrated information's, reduce redundancy of information, decrease energy consumption and lengthen the service time of network by SOM wireless sensor network model. It also made a analytical research of case on information integration. Source

Yao S.C.,Suzhou Industrial Park Institute of Services Outsourcing
Applied Mechanics and Materials

The paper starts from performance optimization of Oracle database. Based on analysis of Oracle structure, the paper explores performance optimization of Oracle database for database parameters, application system and network load. And the paper expounds reasonable planning of database and how to analyze and improve the performance after operation, and how to optimize a database with satisfying performance. © (2014) Trans Tech Publications, Switzerland. Source

Xu Y.,Suzhou Industrial Park Institute of Services Outsourcing
10th International Conference on Computer Science and Education, ICCSE 2015

Cluster analysis is an unsupervised most important research topics in the field of pattern recognition. Fuzzy clustering from the sample to the category of uncertainty description, it is possible to more objectively reflect the real world. Traditional fuzzy clustering algorithm can not achieve the optimal allocation of the number of clusters is calculated automatically. In this paper, by adopting the idea of hierarchical clustering, one can automatically and efficiently determine the optimal number of clusters of new adaptive fuzzy c-means clustering algorithm-A-FCM algorithm. Numerical experiments show that the other through a variety of validity function to determine the number of clusters of adaptive fuzzy clustering algorithm, the better the performance of the method. © 2015 IEEE. Source

Ding H.J.,Suzhou Industrial Park Institute of Services Outsourcing
Advanced Materials Research

As more and more cars are in service, the traffic jam becomes a serious problem in our society. At the same time, more and more sensors make the cars more and more intelligent, and this promotes the development of Internet of things. Real time monitoring the cars will produce massive sensing data, the Cloud computing gives us a good manner to solve this problem. In this paper, we propose a traffic flow data collection and traffic signal control system based on Internet of things and the Cloud computing. The proposed system contains two main parts, sensing data collection and traffic status control subsystem. © (2014) Trans Tech Publications, Switzerland. Source

Xu Y.,Suzhou Industrial Park Institute of Services Outsourcing
Proceedings of the 9th International Conference on Computer Science and Education, ICCCSE 2014

A novel precise Kalman Filter model applied to the attitude control system was presented. Considering not only the non-liner relationship between the measured value of accelerator sensor and Euler Angle but also the conversion of body axis system to geodetic coordinate system. The noise parameter was obtained accurately by using offline testing. The test platform was set up utilizing STM32,and the data of static testing and dynamic testing was provided. © 2014 IEEE. Source

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