作者：
Ye, Junmin*;Zhan, Zemei;Zhang, Zhenfang;Dong, Wei;Qi, Zhichang
作者机构：
[Ye, Junmin; Zhang, Zhenfang; Zhan, Zemei] Cent China Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.;[Zhan, Zemei] Yangtze Univ, Coll Comp Sci, Jingzhou 434023, Peoples R China.;[Ye, Junmin; Qi, Zhichang; Dong, Wei] Natl Univ Def Technol, Sch Comp, Changsha 410073, Hunan, Peoples R China.
会议名称：
The 9th International Conference for Young Computer Scientists(第九届国际青年计算机大会)
会议时间：
2008-11-18
会议地点：
安徽黄山
会议主办单位：
[Ye, Junmin;Zhan, Zemei;Zhang, Zhenfang] Cent China Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.^[Zhan, Zemei] Yangtze Univ, Coll Comp Sci, Jingzhou 434023, Peoples R China.^[Ye, Junmin;Dong, Wei;Qi, Zhichang] Natl Univ Def Technol, Sch Comp, Changsha 410073, Hunan, Peoples R China.
会议论文集名称：
The 9th International Conference for Young Computer Scientists(第九届国际青年计算机大会)论文集
关键词：
Immune Operator;Software Test;Test Case Generation
摘要：
Artificial immune operators play an important role in the application of immunity, how to design immune operators to support the test case generation method based on the principle of immunity deserves our investigation. Therefore, on the basis of artificial immunity principle, some immune operators that can be used in software test case generation are proposed in this paper. By comparing experiments using artificial immune algorithm and experiments based on genetic algorithms, the efficiency of the immune operators applied in test case Generation Method is verified in this paper.
会议名称：
The 4th International Conference on Wireless Communications, Networking and Mobile Computing(第四届IEEE无线通信、网络技术及移动计算国际会议)
会议时间：
2008-10-12
会议地点：
大连
会议论文集名称：
The 4th International Conference on Wireless Communications, Networking and Mobile Computing(第四届IEEE无线通信、网络技术及移动计算国际会议)论文集
关键词：
Money Shock;Economic Fluctuations;Dynamic Stochastic General Equilibrium Model
摘要：
This paper constructs a dynamic stochastic general equilibrium (DSGE) model which incorporates money by MIU (Money-in-the-Utility Function) approach, and applies it to Chinese business cycle model analysis from 1996 to 2005. The comparison of simulation results and actual data implies that the model can reflect economic fluctuations. Quantitative analysis demonstrates that technology shock and money shock contribute to more than 90% of Chinese Economic Fluctuations, and DSGE model is an ideal framework for Chinese monetary policy analysis. The paper also suggests to incorporate the sticky price property and fiscal policy to explain the economy better.
作者机构：
College of Life Science, Central China Normal University, Wuhan 430079, China;Nanyang Technological;Nanyang Technological University, Nanyang Avenue, 639798, Singapore
会议名称：
第十届室内空气品质和质量国际学术会议(Proceedings of the 10th International Conference on Indoor Air Quality and Climate)
会议时间：
2005-09-04
会议地点：
北京
会议论文集名称：
第十届室内空气品质和质量国际学术会议
关键词：
Formaldehyde;Oxidative damage;SOD;GSH;MDA
摘要：
Few researches concern about oxidative damage of inhaled formaldehyde in medium or low concentrations.Therefore, we treated three groups of mice with 1.0mg/m3, 3.0mg/m3 formaldehyde and the control group inhaled fresh air. All of the mice were treated 6 hours per day for 10 days. After exposure, the activities of total superoxide dismutase (SOD), content of glutathione (GSH) and malondialdehyde (MDA) in five organs-brain, heart, lung,liver and kidney were measured. The results showed that inhaled formaldehyde caused the obvious decrease of SOD activities in five organs (P＜0.01) in 3.0mg/m3 group, and the level of GSH in all treated groups were decreased significantly in various organs (P＜0.05) compared with fresh air group. The level of MDA in all organs of 3.0mg/m were increased significantly (p＜0.05) compared with fresh air group. In conclusion, medium concentration formaldehyde gas induces significantly oxidative damage of various organs.
作者机构：
Research Center of the Digital Space Technology Central China Normal University Wuhan, P.R China 430;Department of Computer Science Central China Normal University Wuhan, P.R. China 430079
会议名称：
第三届国际脉冲动力系统及应用学术会议
会议时间：
2006-07-21
会议地点：
青岛
会议论文集名称：
第三届国际脉冲动力系统及应用学术会议论文集
摘要：
When the capacity of a network is expanded, the investment cost should be taken into consideration. We hope to obtain the largest capacity expansion with minimum investment cost. This paper utilizes the labeling algorithm of maximum flow to find out bottleneck arcs and discusses Network Capacity Expansion with Minimum Cost (NCEMC) in two aspects. Then a mathematical model for the NCEMC problem is given and the corresponding capacity expansion algorithm and theoretical analysis are presented.
作者机构：
Center for Language& Language Education,Central China Normal University,Wuhan,Hubei 430079,P.R.China;Department of Computer Science,Central China Normal University,Wuhan,Hubei 430079,P.R.China
会议名称：
2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)
会议时间：
2008-07-27
会议地点：
大连
会议论文集名称：
2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)论文集
摘要：
E-learning is becoming one of the most important educational means.As more and more organizations and institutions are moving towards the e-learning strategy,self-learning model becomes a big challenge.Background knowledge and learning objectives of various groups of students on the network are very different.Self-learning system,which uses different learning programs for different students,can enhance the efficiency of learning process.In a self-learning system,the algorithm dealing with uncertainty factors of Self-learning model is very important.Bayesian network artifice is a very effective one within various methods dealing with uncertainty.In this paper,we applied Bayesian network method to self-learning model;designed Bayesian network structure in a self-learning model;assigned the local probability distribution and discussed the way to acquire and propagate related evidences.The practice has proven Bayesian network approach for self-learning model is a very effective method.
