摘要：
Extjs作为一个RIA(Rich Internet Applications)框架,在MVC模式的基础上提供了MVVM模式的支持.该文详细介绍了Extjs框架下的前端MVVM与MVC设计模式的工作原理以及它们各自优点与不足,并将实现MVVM设计模式的Ex-tjs框架引入到前端用户界面的开发中,通过在护理信息系统的用户界面设计中的成功实践后提出了使用MVVM模式在Extjs框架下的一种编程实践.
期刊：
Advances in modelling and analysis. A, general mathematical and computer tools,2016年53(1):145-159 ISSN：1258-5769
通讯作者：
Tang, Lixiang(Tanglx0731@126.com)
作者机构：
[Li, Haiyan; Ouyang, LiJun; Wu, Daqing] Computer Science and Technology Institute, University of South China, Hangyang, Hunan, China;[Tang, Lixiang] Department of Business Administration, Hunan University of Finance and Economics, Hunan, 410205, China;[Wu, Daqing] Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, Anhui University, Hefei, Anhui Province, 230039, China;[Wu, Daqing] Key Laboratory of Guangxi High Schools for Complex System and Computational Intelligence, Guangxi University for Nationalities, Nanning, 530006, China;[Wu, Daqing] Artificial Intelligence Key Laboratory of Sichuan Province (Sichuan University of Science and Engineering), Zigong, 643000, China
通讯机构：
[Tang, L.] D;Department of Business Administration, Hunan University of Finance and Economics, Hunan, China
关键词：
Diversity;Multi-objective optimization;Particle swarm optimizer;Two local best solutions
通讯机构：
[Yang, Xiao-Hua] U;Univ South China, Sch Comp Sci & Technol, Hengyang 421001, Peoples R China.
会议名称：
第五届自然语言处理与中文计算会议(NLPCC-ICCPOL2016)
会议时间：
2016-12-02
会议地点：
昆明
会议主办单位：
Kunming Univ Sci & Technol
会议论文集名称：
第五届自然语言处理与中文计算会议(NLPCC-ICCPOL2016)论文集
关键词：
Feature selection;Information gain;Relative document frequency distribution;Low-frequency characteristic
摘要：
Feature selection algorithm plays an important role in text categorization. Considering some drawbacks proposed from traditional and recently improved information gain (IG) approach, an improved IG feature selection method based on relative document frequency distribution is proposed, which combines reducing the impact of unbalanced data sets and low-frequency characteristics, the frequency distribution of features within category and the relative frequency document distribution of features among different categories. The experimental results of NLPCC-ICCPOL 2016 stance detection in Chinese microblogs show that the performance of the improved method is better than traditional IG approach and another improved method in feature selection.
作者机构：
[刘立; 罗扬; 汪琳霞; 刘芳菊; 李悛] School of Computer Science and Technology, University of South China, Hengyang;Hunan;421001, China;[刘立; 罗扬; 汪琳霞; 刘芳菊; 李悛] Hunan;[刘立; 罗扬; 汪琳霞; 刘芳菊; 李悛] 421001, China
通讯机构：
[Luo, Y.] S;School of Computer Science and Technology, University of South China, Hengyang, Hunan, China
作者机构：
[刘朝晖; 刘华; 阳小华] School of Computer Science and Technology, University of South China, Hengyang;421001, China;[陈智; 吴志强] Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chendu;610041, China;[刘朝晖; 刘华; 阳小华] 421001, China
关键词：
STAMP模型;STPA方法;反应堆紧急停堆系统
摘要：
随着数字化技术及软件系统的广泛应用,很多事故是由于部件间异常的交互所引起,传统的分析方法已经力不从心,基于STAMP（Systems-Theoretic Accident Model and Processes）的安全性分析方法STPA（System Theoretic Process Analysis）,可以有效解决这一困难。首先介绍STPA方法及分析步骤,将该方法应用到反应堆紧急停堆子系统,得到了引起停堆失败的可能原因及设计中所应遵守的安全约束,这些约束有益于提高设计的安全性。
期刊：
International Journal of Distributed Sensor Networks,2015年2015(10):437678:1-437678:13 ISSN：1550-1477
通讯作者：
Liu, Fangju
作者机构：
[Liu, Fangju] Univ South China, Sch Comp Sci & Technol, Hengyang 421001, Hunan, Peoples R China.;[Ma, Xingpo] Xinyang Normal Univ, Sch Comp & Informat Technol, Xinyang 464000, Henan, Peoples R China.;[Liang, Junbin] Guangxi Univ, Sch Comp & Elect Informat, Nanning 530004, Guangxi, Peoples R China.;[Lin, Mugang] Hengyang Normal Univ, Dept Comp Sci, Hengyang 421008, Hunan, Peoples R China.
通讯机构：
[Liu, Fangju] U;Univ South China, Sch Comp Sci & Technol, Hengyang 421001, Hunan, Peoples R China.
摘要：
Verifiable top-k query processing in tiered sensor networks, which refers to verifying the authenticity and the completeness of top-k query results received by the network owner in tiered sensor networks, has received attention in very recent years. However, the existing solutions of this problem are only fit for static sensor network. In this paper, we try to solve the problem in a tiered mobile sensor network model, where not only static sensor nodes but also mobile sensor nodes existed. Based on the tiered mobile sensor network model, we propose a novel verifiable scheme named VTMSN for fine-grained top-k queries. The main idea of VTMSN is as follows: it maps each of the positions where sensor nodes are in a static state to a virtual node and then establishes relationships among data items of each virtual node with their score orders, which are encrypted along with the scores of the data items and the time epochs using the distinct symmetric keys kept by each sensor node and the network owner. Both theory analysis and simulation results show the efficiency and the security of VTMSN.
作者机构：
[Wan Yaping; Luo Chenhui; Liu Zhiming] Univ South China, Sch Comp Sci & Technol, Hengyang 421001, Peoples R China.
会议名称：
International Industrial Informatics and Computer Engineering Conference (IIICEC)
会议时间：
JAN 10-11, 2015
会议地点：
Xian, PEOPLES R CHINA
会议主办单位：
[Wan Yaping;Luo Chenhui;Liu Zhiming] Univ South China, Sch Comp Sci & Technol, Hengyang 421001, Peoples R China.
会议论文集名称：
ACSR-Advances in Comptuer Science Research
关键词：
Fault Tree;Cloud Computing;Reliability;SDDC
摘要：
The software-defined data center(SDDC),while well understood architecturally,is beginning to reveal some of its benefits beyond agility,speed,and efficiency as organizations deploy and discover other
