对加强高校网络廉政舆情处置的思考

网络廉政舆情是把双刃剑,有利有弊,对网络廉政舆情及时搜集、科学研判、处置得当,将有利于推进高校的纪检监察工作。当前存在诸多高校负面网络廉政舆情,高校纪检监察部门在处置负面网络廉政舆情方面存在诸多误区,要有效处置负面网络廉政舆情,高校纪检监察部门应确立正确的原则,构建相应的机制。     

我国互联网监管体系利益相关方行为博弈分析

采用博弈理论和方法对我国互联网监管体系中各方行为进行了分析,发现监管动机来源于博弈方风险厌恶的倾向,两级委托-代理模型使得具体执行监管工作的互联网机构处于收益小、成本高、风险大的境地,而位于中间位置的行政机构则处于信息最优势的地位;同时,由于逆向选择,网民在网络意见市场里倾向于选择不相信监管方的判断;而学术研究机构更多地在为自身谋求有利的代理地位,而非进行政策效果反馈工作。     

网络成瘾与大学生年级的关系研究

大学生网络成瘾与年级之间存在着显著的相关关系,随着年级的增高,网络成瘾水平逐渐下降,大一网络成瘾水平要显著高于其他年级,而大三和大四的网络成瘾水平最低。Logistic回归模型表明,年级是网络成瘾水平的良好预测指标。     

An Efficient Multidimensional Fusion Algorithm for IoT Data Based on Partitioning

The Internet of Things (IoT) implies a worldwide network of interconnected objects uniquely addressable, via standard communication protocols. The prevalence of IoT is bound to generate large amounts of multisource, heterogeneous, dynamic, and sparse data. However, IoT offers inconsequential practical benefits without the ability to integrate, fuse, and glean useful information from such massive amounts of data. Accordingly, preparing us for the imminent invasion of things, a tool called data fusion can be used to manipulate and manage such data in order to improve process efficiency and provide advanced intelligence. In order to determine an acceptable quality of intelligence, diverse and voluminous data have to be combined and fused. Therefore, it is imperative to improve the computational efficiency for fusing and mining multidimensional data. In this paper, we propose an efficient multidimensional fusion algorithm for IoT data based on partitioning. The basic concept involves the partitioning of dimensions (attributes), i.e., a big data set with higher dimensions can be transformed into certain number of relatively smaller data subsets that can be easily processed. Then, based on the partitioning of dimensions, the discernible matrixes of all data subsets in rough set theory are computed to obtain their core attribute sets. Furthermore, a global core attribute set can be determined. Finally, the attribute reduction and rule extraction methods are used to obtain the fusion results. By means of proving a few theorems and simulation, the correctness and effectiveness of this algorithm is illustrated.     

Internet分形特征研究

采用k-核分解算法对Internet分形特征进行研究.对高核区间和低核区间拟合结果的差异进行分析,提出Internet分形特征与其结构的层次性存在关联的猜想.随后,从删边数、删边比例和子网分布三个角度对k-核分解过程进行观察,确定Internet核心层与边缘层的分割边界,并利用骨架树理论研究Internet的层次分形特征.最后,从度分布指数、同配系数和结构熵等常见统计角度对Internet部分与整体,以及部分与部分之间的关系进行观察.观察表明,在以上统计角度,Internet边缘子网可以表征网络整体.     

“互联网＋”时代高校图书馆的服务

阐述了“互联网＋”的概念,分析了“互联网＋”时代高校图书馆用户需求的特点,并对“互联网＋”时代高校图书馆服务策略进行了研究。     

全球化进程中的卫生外交

随着全球化的进程,卫生治理先后出现了国家卫生治理、国际卫生治理和全球卫生治理等形式,当然国家层面下还有地方性卫生治理。卫生治理方式的改变带来了卫生外交的出现和发展,从隔离检疫制度作为最初的卫生外交的载体,到国际卫生大会的召开,国际公共卫生公约的颁布和修改,区域性国际卫生组织的出现,再到世界卫生组织的建立,卫生外交以国际卫生外交为主要形式走过了数百年的历程,而现在随着非政府组织、私人基金会、跨国公司,乃至个人在全球卫生治理中发挥着越来越大的影响力,卫生外交步入了全球卫生外交的时期。     

物联网的概念及发展

物联网一经提出就受到了科研人员、政府和大众的广泛关注。有关物联网的探讨和研究工作也已取得了长足的进展。然而,对于物联网的定义、内涵及其随着科技发展而产生的深远影响却值得深入探讨。文章旨在通过对物联网概念及其演进过程的分析,来引起人们对于物联网发展的关注,进而推动物联网更好地应用,为创造智慧城市提供动力。     

基于物联网的产品质量监管系统

针对当前产品质量监管的现状,为了实现产品质量的动态监管,设计了一种基于物联网技术的产品质量监管系统。该系统综合运用射频识别技术、条码技术、GIS空间信息处理技术等,实现了对产品实施全程监管和质量追溯。     

Analysis of Advantages and Disadvantages of Cyber Language in China

After China joined in WTO, computers make a great influence on Chinese users, especially young generations. With a growing cultural exchange on Internet, language is also changing its original form. Convenience and novelty are apparent characteristics of language,we call it Cyber Language. Certainly, Cyber Language has advantages and disadvantages to its development as well as a coin.