托卡马克装置上等离子体不稳定性会被非麦克斯韦分布的逃逸电子激发.逃逸电子在特定条件下会与不稳定性发生反常多普勒共振,此共振结果将降低逃逸电子的能量,减小对装置造成的危害.本文利用电子回旋辐射(ECE)等诊断系统分析了HL-2A上slide-away放电中反常多普勒共振特征.实验结果表明:slide-away放电模式下ECE信号主要有台阶型、指数型、指数-台阶型和双波型4类波形.统计显示不稳定性阈值与等离子体电流以及磁场强度值无线性关系.反常多普勒不稳定性阈值(ωpe/ωce)统计分布范围约为0.17～0.80,其中最高值分布范围为0.35～0.40.

Software Engineering is one of the core courses for computer majors, and a compulsory course for cultivating software engineering talents in Local Application-oriented Undergraduate Colleges. This paper first puts forward the main problems of the software engineering curriculum teaching in Local Application-oriented Undergraduate Colleges,then constructs an online and offline hybrid teaching mode of Software Engineering-BDACE teaching mode to solve these problems, expounds the innovation of the hybrid teaching mode, and finally proves its feasibility and effectiveness through specific cases. Practice shows that the BDACE teaching mode of Software Engineering in Local Application-oriented Undergraduate Colleges can enhance students’ interest in learning, stimulate students’ active learning, and effectively improve the teaching effect.

决策粗糙集是目前粗糙集理论的重要研究分支.目前的决策粗糙集很少对不完备混合型的信息系统进行研究,为了改善这一局限,提出一种扩展的决策粗糙集模型.通过引入邻域容差关系来处理不完备混合型信息系统,在其基础上定义扩展的决策粗糙集模型,同时提出相应的三支决策.在该模型的基础上设计一种最小化决策代价的属性约简算法.根据三支决策,构建出一种不完备混合型数据的三支决策分类算法.实验结果表明,该算法具有更高的数据分类精度和更小的误分类代价.

文中提出一种离散和连续混合属性的复杂信息系统增量式属性约简算法.首先,将粒计算模型中的知识粒度在混合型信息系统下进行推广,提出了邻域知识粒度,并构造出基于邻域知识粒度的非增量式属性约简算法,然后在混合型信息系统下研究了邻域知识粒度随对象增加时的增量式计算,理论证明了该计算方式的高效性,最后提出了基于邻域知识粒度的混合信息系统增量式属性约简算法.UCI数据集的实验结果表明,所提出的算法在混合型信息系统中具有很高的增量式属性约简性能.

传统的属性约简算法不能适用于动态变化的信息系统.为了对属性集不断动态增加的信息系统进行更高效的属性约简,基于粒计算模型中知识粒化的视角,提出一种知识粒度的增量式属性约简算法.在信息系统中引入知识粒度度量的概念,当信息系统属性集增加时,研究了知识粒度的增量式更新方法,理论分析了这种更新方法的高效性,根据知识粒度的增量式更新提出一种增量式属性约简算法.仿真实验结果表明该算法具有较高的属性约简性能.

实际应用中,信息系统的数据常常是动态变化的,当对象增加时,原始的属性约简集不一定有效。针对不完备决策系统对象增加的情况,提出基于条件熵的增量式属性约简算法。首先定义不完备决策系统中的条件熵,然后分析对象增加时条件熵的变化机制以及对约简集的影响,提出增量式属性约简算法,当对象增加时,该算法能够更高效地进行属性约简。最后,实验验证本文算法的有效性和高效性。

Attribute reduction, also known as feature selection, is a vital application of rough set theory in areas such as machine learning and data mining. With several information systems constantly and dynamically changing in reality, the method of continuing the incremental attribute reduction for these dynamic information systems is the focus of this research. In an incomplete information system, the increasing form of attribute sets is an important form of dynamic change. In this paper, the definition of conditional entropy is first introduced in the incomplete information system, and for the circumstances of the dynamic change of the attribute sets, two types of incremental mechanisms of the matrix and non-matrix forms based on conditional entropy are subsequently proposed. In addition, on the basis of the two incremental mechanisms, the incremental attribute reduction algorithm is given when the attribute set increases dynamically. Finally, the experimental results of the UCI (University of California Irvine) datasets verify that the two proposed incremental algorithms exhibit a superior performance with regard to attribute reduction when compared with the non-incremental attribute reduction algorithm, which in turn is superior to other relative incremental algorithms.

Aiming at the defects of the intelligence test paper in the quality of test paper and test speed,based on the original genetic algorithm,a kind of intelligent test paper strategy is put forward based on genetic algorithm. The encoding method,weighted objective function is established to optimize the fitness function,crossover operator,mutation and the use of insurance is to set opti?mization method and the combination of the roulette selection operation is optimized. It achieves good adaptation,and can quickly and successfully test and improve the efficiency of composing. Simulation experiments show that the algorithm can successfully test, and improve the test efficiency and success rate,and effectively optimize the automatic generation method the problem.

为了对符号性和数值型属性共存的邻域信息系统进行属性约简,从信息论的视角出发,定义邻域信息系统中的邻域条件熵.同时考虑知识不确定性和集合不确定性对属性重要度度量的影响,结合邻域条件熵和邻域近似精度,定义一种新的属性重要度度量——邻域组合熵.给出邻域组合熵的相关定理,提出基于邻域组合熵的属性约简算法.在UCI数据集上的实验表明,该算法能够获得约简集较小而分类精度较高的约简结果.

Environmental air quality prediction plays an important role in the prevention of environmental pollution.Because the prediction ambient air quality is affected by many factors,the accuracy of prediction can not meet the needs of the development. The artificial bee colony algorithm(ABC)is improved and introduced into the back propagation neural network(BP).The reciprocal of the training error is used as the fitness function,and the initial value of the ABC is assigned as the initial weight and the threshold of BP.The global optimal solution obtained by the improved artificial bee colony algorithm(IABC)is the global optimal weight and threshold of the BP.The optimized BP neural network is used to predict the ambient air quality,by comparing the traditional BP neu-ral network,the traditional artificial bee colony optimization back propagation neural network.Experimental results show the opti-mized BP neural network proposed in this paper has achieved ideal results in ambient air quality prediction,and can be used in practice.

Many problems have occurred in the current situation of developing three-layer Web applications based on the classical SSH solution,such as difficult integration,long development cycle,inflexible expansion and poor per-formance in the late stage. Aiming at these problems,this paper proposes a new lightweight 3S solution based on Spring framework.The solution means that the three-layer architecture is mainly constructed by Spring MVC,Spring IoC/DI, Spring JDBC,and then an experiment has been conducted on ABHIMS(the ancient building heritage information man-agement system) to test the solution. The experiment results prove the fact that the lightweight 3S solution is correct and feasible. Compared to the classical SSH solution,this solution not only simplifies the process of writing codes and inte-gration but also helps to obtain better performance of the developed system.

文章介绍了在Myeclipse+Sql Server环境下开发物流兼职系统的过程，本系统采用SSH的企业应用框架设计模式，负责控制业务逻辑层与表现层的交互；采用Ajax技术减轻服务器的负担，提升站点的性能。文章在阐述了系统结构设计和数据库设计的同时也给出了具体的实现过程和关键技术。

该文介绍了在Myeclipse+Sql Server环境下开发物流兼职系统的过程,阐述了系统结构设计和数据库设计,并给出了具体的实现过程和关键技术.

软件工程是计算机专业中一门重要的基础课程,其实践性、应用性很强.文章根据软件工程课程教学存在的问题,结合软件工程课程教学的实际,提出了相应的改革策略,有效地提高了教学效果.

Describes the process of development of Car-rental System in .net Framework4 .0 + SQLserver2005 environ-ment ,elaborates the system architecture design and database design ,and gives concrete realization process and key tech-nologies .

Introduces the development process of an ERP system in a SOA framework. The data persistence layer is implemented by LINQ. Implements the data exchange layer and the service interface definition by WCF. In addition, guarantees the data transmission security is by a X509 certificate. Realizes the business process layer and the presentation layer by MVC2 in the customer-oriented Web client, while employs AJAX to make the presentation, and makes the user experience friendlier. Staff-oriented WinForm software adopts a multilevel management mode, and fuses management sections for staff, shop, fund, car rental, etc. In summary, gives the framework of a SOA solution, and the key technologies in this solution.

本文介绍了网上预约挂号系统的基本原理及功能,设计思路及实现,具体的模块讲解,包括前台病人的操作和后台管理员的管理,帮助人们了解和使用网上预约挂号系统。

With the era of the Internet of things, intelligent products will be more and more, the intelligent property management, property management model from the main intelligence is put forward, establishment and implementation of ideas. And introduces the model of vehicle recognition, small owners face recognition, crime prevention and community environmental monitoring of these aspects.

介绍了在.Net Framework4.0+SQLserver2005环境下开发医药公司综合管理系统的过程,阐述了系统结构设计和数据库设计,并给出了具体的实现过程和关键技术。

论述了大学生素质教育的内涵,包括大学生基础素质、专业素质和创新素质,三者之间是相互依存、相互促进的,促进三者的提高是高校素质教育的中心任务。