关于网络环境下体育教育专业社会评价的思考

社会评价是教育评价的重要组成部分.利用传统体育教育专业社会评价工作流程图,指出传统体育教育专业社会评价的不足,并在探讨基于网络环境体育教育专业社会评价的优势、构建原则的基础上,试图设计出网络环境下体育教育专业社会评价体系,以期为完善体育教育专业社会评价体系提供理论参考与借鉴.     

Efficient and power-awareness query over sensor networks

Sensor networks consisted of low-cost, low-power, multifunctional miniature sensor devices have played an important role in our daily life. Light and humidity monitoring, seismic and animal activity detection, environment and habitat monitoring are the most common applications. However, due to the limited power supply, ordinary query methods and algorithms can not be applied on sensor networks. Queries over sensor networks should be power-aware to guarantee the maximum power savings. The minimal power consumption by avoiding the expensive communication of the redundant sensor nodes is concentrated on. A lot of work have been done to reduce the participated nodes, but none of them have considered the overlapping minimum bounded rectangle (MBR) of sensors which make them impossible to reach the optimization solution. The proposed OMSI-tree and OMR algorithm can efficiently solve this problem by executing a given query only on the sensors involved. Experiments show that there is an obvious improvement compared with TinyDB and other spatial index, adopting the proposed schema and algorithm.     

Conflict Pattern Analysis: Preparing the Ground for Participation in Policy Implementation

The participation of non-state actors in implementation processes is often understood as a means to increase compliance efficiency. But the implementation of spatial policies frequently focuses on pre-established goals, processes and instruments and thus renders difficult open discourse and shared decision-making. This paper introduces conflict pattern analysis (CPA) as a tool that supports the analysis of the actual actor constellation in order to define efficient approaches that avoid common problems of participatory processes. CPA is a semi-formalised method that helps to identify key-actors, their relations and interaction amongst each other as well as their core beliefs, interests and resources. It aggregates this information to interaction patterns that can be compared, classified and linked to different participatory methods on a theoretically informed basis. Particularly on the local and regional level, this could be the first step for successful (participatory) implementation strategies.     

高校图书馆在大学校园和谐文化建设中的作用

面对大学校园中多元文化的碰撞和冲突，高校图书馆应通过努力，以取得在校园和谐文化建设中的影响力．     

论社会主义荣辱观与和谐校园的构建

和谐校园是一个理想校园。构建和谐校园是实现和谐社会的重要环节和组成部分。本文通过分析社会主义荣辱观的主要内容及其在大学校园的适用，阐述了广大师生通过树立社会主义荣辱现在加强认识、强化情感、坚定意志和努力实践等方面对构建和谐校园的重大意义。     

ARP欺骗攻击的整网解决方案研究

随着各种病毒与木马程序的泛滥,ARP欺骗攻击在校园网中已经成为危害网络正常稳定运行的主要问题.本文在对ARP协议进行深入分析的基础上,提出一种全网设备联动实现整体防御ARP欺骗的可行方案.     

Samples Selection for Artificial Neural Network Training in Preliminary Structural Design

An artificial neural network (ANN) is applied in the preliminary structural design of reticulated shells. Major efforts are made to enhance the generalization ability of networks through well-selected training samples. Number-theoretic methods (NTMs) are adopted to generate samples with low discrepancy, i.e.uniformly scattered in the domain, where discrepancy is a quantitative measurement of the uniformity. The discrepancy of the NTM-based sample set is 1/6-1/7 that of samples with equal spacing. In a case study,networks trained by NTM-based samples are compared with those trained by equal-spaced samples in generalizing performance. The results show that both the computational precision and stability of the former ANNs are more satisfactory than those of the latter. It is concluded that the flexibility of ANNs in generalizing can be effectively increased by use of uniformly distributed training samples rather than simply piling data.More reliable uniformity should be obtained, however, through NTMs instead of equal-spaced samples.     

西南科技大学办学特色思考

简述了高校办学特色,并对西南科技大学的3个办学特色进行了阐述：即对共建和产学研联合办学的办学体制特色;材料学、控制理论与控制工程、农学学科显示出的优势学科专业特色;“艰苦奋斗、自强不息”的校园文化特色作了阐述.     

人工神经网络紫外分光光度法同时测定苯和甲苯

应用三层ANN_BP网络解析苯和甲苯的吸收光谱 ,不经分离 ,用紫外分光光度法同时测定苯和甲苯 .使用改进的BP算法 ,避免了神经网络学习过程中可能产生的麻痹现象 ,提出了目标向量的简单变换方法及便于网络参数选择的收敛评价函数 .实验验证了方法的有效性 ,同时表明 ,苯在 0 - 72 0mg/L和甲苯在 0 - 84 0mg/L范围内服从比尔定律     

神经网络自适应控制器设计

对前馈神经网络用于动态系统的辨识、自适应控制进行了分析和数学推导，给出了自适应神经网络控制器的设计方法．最后通过仿真实例进行了说明．