The paper focuses on the habits of China Web users' language utilization behaviors in accessing the Web. It also seeks to make a general study on the basic nature of language phenomenon with regard to digital acce...The paper focuses on the habits of China Web users' language utilization behaviors in accessing the Web. It also seeks to make a general study on the basic nature of language phenomenon with regard to digital accessing. A questionnaire survey was formulated and distributed online for these research purposes. There were 1,267 responses collected. The data were analyzed with descriptive statistics, Chi-square testing and contingency table analyses. Results revealed the following findings. Tagging has already played an important role in Web2.0 communication for China's Web users. China users rely greatly on all kinds of taxonomies in browsing and have also an awareness of them in effective searching. These imply that the classified languages in digital environment may aid Chinese Web users in a more satisfying manner. Highly subject-specific words, especially those from authorized tools, yielded better results in searching. Chinese users have high recognition for related terms. As to the demographic aspect, there is little difference between different genders in the utilization of information retrieval languages. Age may constitute a variable element to a certain degree. Educational background has a complex effect on language utilizations in searching. These research findings characterize China Web users' behaviors in digital information accessing. They also can be potentially valuable for the modeling and further refinement of digital accessing services.展开更多
对移动通信终端进行侦察与管控是维护正常通信秩序和电磁空间安全的应有之义。通信系统的行为模式是其重要的特征之一,传统的仅限于信号参数获取的侦察方法无法对移动通信系统的行为模式进行精准分析。针对这一问题,以终端与基站交互过...对移动通信终端进行侦察与管控是维护正常通信秩序和电磁空间安全的应有之义。通信系统的行为模式是其重要的特征之一,传统的仅限于信号参数获取的侦察方法无法对移动通信系统的行为模式进行精准分析。针对这一问题,以终端与基站交互过程中寻呼(Paging)信号与接入(Access)信号为突破口,充分利用该类信号特有的时频特征和明文传输特点,在对其进行有效截获的基础上,经过解调、解扰、解码得到其携带的信息比特。通过对信息比特实施解析,获得交互信令的含义,完成对移动通信终端行为模式的综合分析,揭示了寻呼与接入信号之间通信信息交互的时序逻辑关系,为信息对抗中的灵巧干扰提供了时间与信息字段上的侦察引导,是后续灵巧干扰的基础与前提。最后利用通信侦察接收机对第五代移动通信(5th Generation mobile communication,5G)信号进行实地侦收与分析,实验结果验证了所提方法的正确性与有效性,为移动通信终端的精准侦察与管控奠定了技术基础。展开更多
为解决Hadoop云平台无法动态控制用户访问请求的问题,提出一种基于用户行为评估的Hadoop云平台动态访问控制(DACUBA,dynamic access control based on user behavior assessment)模型。该模型首先实时收集用户指令序列,通过并行指令序...为解决Hadoop云平台无法动态控制用户访问请求的问题,提出一种基于用户行为评估的Hadoop云平台动态访问控制(DACUBA,dynamic access control based on user behavior assessment)模型。该模型首先实时收集用户指令序列,通过并行指令序列学习(PCSL,parallel command sequence learning)获取用户行为轮廓。然后利用前向轮廓建立全局K模型,对后续行为序列进行分类并对分类结果进行评估。随后将评估结果与改进Hadoop访问控制机制结合,使云平台用户的访问权限随自身行为动态改变。最后通过实验验证了模型算法的有效性和动态访问控制机制的可行性。展开更多
文摘The paper focuses on the habits of China Web users' language utilization behaviors in accessing the Web. It also seeks to make a general study on the basic nature of language phenomenon with regard to digital accessing. A questionnaire survey was formulated and distributed online for these research purposes. There were 1,267 responses collected. The data were analyzed with descriptive statistics, Chi-square testing and contingency table analyses. Results revealed the following findings. Tagging has already played an important role in Web2.0 communication for China's Web users. China users rely greatly on all kinds of taxonomies in browsing and have also an awareness of them in effective searching. These imply that the classified languages in digital environment may aid Chinese Web users in a more satisfying manner. Highly subject-specific words, especially those from authorized tools, yielded better results in searching. Chinese users have high recognition for related terms. As to the demographic aspect, there is little difference between different genders in the utilization of information retrieval languages. Age may constitute a variable element to a certain degree. Educational background has a complex effect on language utilizations in searching. These research findings characterize China Web users' behaviors in digital information accessing. They also can be potentially valuable for the modeling and further refinement of digital accessing services.
文摘对移动通信终端进行侦察与管控是维护正常通信秩序和电磁空间安全的应有之义。通信系统的行为模式是其重要的特征之一,传统的仅限于信号参数获取的侦察方法无法对移动通信系统的行为模式进行精准分析。针对这一问题,以终端与基站交互过程中寻呼(Paging)信号与接入(Access)信号为突破口,充分利用该类信号特有的时频特征和明文传输特点,在对其进行有效截获的基础上,经过解调、解扰、解码得到其携带的信息比特。通过对信息比特实施解析,获得交互信令的含义,完成对移动通信终端行为模式的综合分析,揭示了寻呼与接入信号之间通信信息交互的时序逻辑关系,为信息对抗中的灵巧干扰提供了时间与信息字段上的侦察引导,是后续灵巧干扰的基础与前提。最后利用通信侦察接收机对第五代移动通信(5th Generation mobile communication,5G)信号进行实地侦收与分析,实验结果验证了所提方法的正确性与有效性,为移动通信终端的精准侦察与管控奠定了技术基础。
文摘为解决Hadoop云平台无法动态控制用户访问请求的问题,提出一种基于用户行为评估的Hadoop云平台动态访问控制(DACUBA,dynamic access control based on user behavior assessment)模型。该模型首先实时收集用户指令序列,通过并行指令序列学习(PCSL,parallel command sequence learning)获取用户行为轮廓。然后利用前向轮廓建立全局K模型,对后续行为序列进行分类并对分类结果进行评估。随后将评估结果与改进Hadoop访问控制机制结合,使云平台用户的访问权限随自身行为动态改变。最后通过实验验证了模型算法的有效性和动态访问控制机制的可行性。
