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Lu X.,Tianjin University | Yu R.,Tianjin University | Dong W.,Wuhan University | Lei M.,Tianjin University of Technology | And 2 more authors.
Journal of Computational Information Systems | Year: 2012

In physics, damping is any effect that tends to reduce the amplitude of oscillations in an oscillatory system. Inspired by this, we present a new traffic allocation algorithm for Wireless Networks in order to limit the packet delay variance. We refer to our algorithm as the damping based traffic allocation algorithm (DBTA). DBTA computes the queuing delay and queuing delay variance, configures system parameters, and finally reduces the amplitude of delay variations. We realize DBTA based on Dynamic Source Routing (DSR) protocol. Performance comparison of DBTA with DSR using Network Simulator (NS-2) simulation shows that DBTA can achieve a remarkable improvement in decreasing the packet delay variance. © 2011 by Binary Information Press.

Yuan Z.,Tianjin University | Yu R.,Tianjin University | Zhao M.,Tianjin University | Du X.,Tianjin University | And 3 more authors.
Journal of Information and Computational Science | Year: 2013

Mesh Networks (WMNs) is a promising network access technology. As WMNs' applications become more and more popular, the number of users grows quickly and the quality of service needs to be improved. When we try to analyze the load on different paths using the simplest multi-path routing algorithms we find that the load changes just like Simple Harmonic Motion, which inspires us to use physic model to analyze the traffic allocation problems. And then we design a new traffic allocation algorithm and the experiment shows that the algorithm can reduce the path delay variance. © 2013 Binary Information Press.

Ren B.,Key Laboratory of Intelligence Computing and Novel Software Technology | Ren B.,Key Laboratory of Computer Vision and System | Li Y.,Tianjin University of Technology | Tang S.,Tianjin University of Technology | And 2 more authors.
Proceedings - 2014 10th International Conference on Semantics, Knowledge and Grids, SKG 2014 | Year: 2014

With the development of network technology, the amount of information on network has been exploded. How to effectively make use of the web information resource has been an important problem which need to be solved. Facing the problem, scholars have some works on web information integration. But these studies mainly pay attention to specific domain information integration, such as news field, movie field, music field, blog field, and so on. There are few studies on information collection towards educational field. In this paper we propose an education-oriented approach for integrating test questions towards a special course. The method is based on a textbook's name and authors' information, and integrate the textbook's catalog and test questions automatically from Web, then computing the similarity between catalog of the textbook and test questions for classification, reaching to the purpose of building test question library by automatic method. Based on the method, we develop a prototype system. The precision and feasibility of the method have been verified by experiments. © 2014 IEEE.

Xiao Y.,Tianjin University of Technology | Xiao Y.,Key Laboratory of Computer Vision and System | Zhang H.,Tianjin University of Technology | Zhang H.,Key Laboratory of Computer Vision and System | And 3 more authors.
Applied Mathematics and Information Sciences | Year: 2012

Real-time systems, which are often employed to monitor and interact with dynamic environments, are widely applied in time-critical applications, such as autopilot systems, medical patient monitoring, robot navigation, military command and control systems, agile manufacturing, etc. These time-critical applications require real-time systems can provide real-time data services ceaselessly. However, real-time systems cannot completely avoid all kinds of failures, so real-time systems must prepare for possible failures and provide fault tolerance capability. The conventional failure recovery methods cannot guarantee real-time data services available when some data items are damaged by failures. In this paper, we present a novel prediction recovery method through the integration of regression model and grey theory. The prediction recovery method guarantees real-time data services available by means of providing predictive values of damaged data to application activities which have to access these data immediately. Performance test shows that the proposed prediction recovery method can significantly improve the real-time performance. © 2012 NSP Natural Sciences Publishing Cor.

Zhang D.,Key Laboratory of Computer Vision and System | Zhang D.,Tianjin University of Technology | Zhang D.,University of Sydney | Zhu Y.,Key Laboratory of Computer Vision and System | And 6 more authors.
Journal of Information Science and Engineering | Year: 2016

Wireless Mesh network (WMN) is multi-hop heterogeneous network, which breaks shortcomings of traditional wireless network. WMN comes into sight with more advantages. To the multi-radio multi-channel (MRMC) wireless mesh networks (MRMCWMN), routing distribution, channel assignment and rate allocation can be united to optimize network performance. MRMC resource optimization method based on convex theory for WMN is presented in this paper. According to convex theory, we use the convex optimization function to get the optimal solution in the limited network supporting by Ad hoc On-Demand Distance Vector (AODV) routing method. At the same time, we resolve the optimal solution into three simple sub-problems according to the Lagrange duality method supporting by multi-radio multi-channel AODV (MAODV). We use MATLAB simulation tools to simulate the new and improved optimization method. The experimental results show that our method has better network performance in the applications of WMN.

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