基于效用和资源借用的移动卫星系统呼叫接入控制算法

该文提出一种基于效用和信道资源借用的移动卫星系统呼叫接入控制算法(UBCB),引入借用权重作为资源借用的依据来改善呼叫阻塞率和业务掉线率,通过调整业务接入的门限来改善卫星网络拥塞状况,从而提高星上资源利用率和卫星系统整体性能。仿真表明,该算法与一般的信道借用(CBS)算法相比,在服务等级、系统服务价值等方面得到较大改进。     

增大图书馆自然科学图书流通量之管见

通过对所在学校图书馆自然科学图书流通情况的调查,分析了高等工程专科学校读者借阅科技图书的现状,提出了读者在图书馆练兵的重要性及必要性,并对流通部门如何增大流通量而减少拒借率、提高工作人员素质、促进办好学科特色图书馆等问题作了初步探讨。     

Using Cellular Probabilistic Self-Organizing Map in Borrowing Channel Assignment for Patterned Traffic Load

The fast growing cellular mobile systems demand more efficient and faster channel allocation techniques. Borrowing channel assignment (BCA) is a compromising technique between fixed channel allocation (FCA) and dynamic channel allocation (DCA). However, in the case of patterned traffic load, BCA is not efficient to further enhance the performance because some heavy-traffic cells are unable to borrow channels from neighboring cells that do not have unused nominal channels. The performance of the whole system can be raised if the short-term traffic load can be predicted and the nominal channels can be re-assigned for all cells. This paper describes an improved BCA scheme using traffic load prediction. The prediction is obtained by using the short-term forecasting ability of cellular probabilistic self-organizing map (CPSOM). This paper shows that the proposed CPSOM-based BCA method is able to enhance the performance of patterned traffic load compared with the traditional BCA methods. Simulation results corroborate that the proposed method delivers significantly better performance than BCA for patterned traffic load situations, and is virtually as good as BCA in the other situations analyzed.     

高校图书馆用户借阅行为中知识共享体验优化研究

目的 从高校图书馆的实体书籍借阅服务模式出发,基于知识共享理念对高校图书馆用户的借阅行为展开研究.旨在发现借阅行为中的痛点,优化用户的知识共享体验.方法 用户研究法,具体通过问卷调查、行为观察、回顾式访谈及用户旅程分析法对图书馆用户的借阅行为展开分析.结果 得出影响"科研—定向型""科研—非定向型""通识—定向型""通识—非定向型"4类用户的借阅体验痛点,结合知识螺旋理论,形成用户参与式知识共享体验模型及共享体验触点优化措施.结论 提出参与式阅读平台的设计方案,以优化用户知识共享体验,为图书馆服务创新研究提供理论依据和实证参考.