摘要：
Wireless sensor networks are mainly characterized by dense deployment of sensor nodes which collectively transmit information about sensed events to the sink. Due to the high density of nodes, spatially redundant data is generated. In this paper, a novel spatial correlation-based clustering protocol (SCCP) is proposed to exploit the spatial correlation. Our protocol can select representative nodes and cluster-heads at the same time by competitive mechanism. Both the representative nodes and cluster-heads are nearly uniform distributed. Simulation results show that the new protocol can improve the system lifetime and the throughout of the network under a given distortion constraint.
期刊：
Conference on Local Computer Networks. Proceedings,2008年:549-550 ISSN：0742-1303
通讯作者：
Yao, Huaxiong
作者机构：
[Yang, Zongkai; Yang, Yan; Yao, Huaxiong] Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
通讯机构：
[Yao, Huaxiong] H;Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
会议名称：
33rd Annual IEEE Conference on Local Computer Networks
会议时间：
OCT 14-17, 2008
会议地点：
Montreal, CANADA
会议主办单位：
[Yao, Huaxiong;Yang, Yan;Yang, Zongkai] Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
会议论文集名称：
Conference on Local Computer Networks
摘要：
This paper addresses dynamic restoration to the scenario of single link failure for survivable traffic grooming in WDM mesh networks. Two restoration schemes are proposed, dynamic restoration at connection granularity (DRAC) and dynamic restoration at lightpath granularity (DRAL). DRAC routes a failed connection to a new multihop path, while DRAL routes a failed lightpath to a new lightpath or other available lightpath. Then we compare the two restoration schemes with other schemes for survivable traffic grooming.
期刊：
PHOSPHORUS SULFUR AND SILICON AND THE RELATED ELEMENTS,2008年183(2-3):644-645 ISSN：1042-6507
通讯作者：
He, Hong Wu
作者机构：
[He, Hong Wu; Wang, Tao] Cent China Normal Univ, Key Lab Pesitcide & chem Biol, Minist Educ, Coll Chem, Wuhan 430079, Peoples R China.
通讯机构：
[He, Hong Wu] C;Cent China Normal Univ, Key Lab Pesitcide & chem Biol, Minist Educ, Coll Chem, Wuhan 430079, Peoples R China.
会议名称：
17th International Conference on Phosphorus Chemistry
会议时间：
APR 15-21, 2007
会议地点：
Xiamen, PEOPLES R CHINA
会议主办单位：
[Wang, Tao;He, Hong Wu] Cent China Normal Univ, Key Lab Pesitcide & chem Biol, Minist Educ, Coll Chem, Wuhan 430079, Peoples R China.
关键词：
phosphinate;sodium salt;Synthesis
摘要：
A series of sodium methyl α-(substituted phenoxy acetoxy)-alkyl phosphinates were synthesized under mild condition by a simple efficient procedure.
作者机构：
[Nana Pan] The institute of astrophysics, Huazhong normal university, Wuhan, 430079, Hubei, P.R. China;The college of physics and electron, Henan university, Kaifeng, 475004, Henan, P.R. China;[Miao Kang; Xiaodong Wang] The college of physics and electron, Henan university, Kaifeng, 475004, Henan, P.R. China<&wdkj&>The institute of astrophysics, Huazhong normal university, Wuhan, 430079, Hubei, P.R. China
通讯机构：
College of Physics and Electron, Henan University, China
会议名称：
紧凑型物体的天体物理学国际会议(International Conference on Astrophysics of Compact Objects)
会议时间：
2007-07-01
会议地点：
安徽黄山
会议论文集名称：
紧凑型物体的天体物理学国际会议（International Conference on Astrop
关键词：
Dense matter;Equation of state;Stars: Evolution;Stars: Neutron;Stars: Rotation
摘要：
The deconfinement phase transition will lead to the release of latent heat during spins down of neutron stars if the transition is the first‐order one. We have investigated the thermal evolution of neutron stars undergoing such deconfinement phase transition. The results show that neutron stars may be heated to higher temperature. This feature could be particularly interesting for high temperature of low‐magnetic field millisecond pulsar at late stage.
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：
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.
