一种基于时序感知的社会网络节点集情境聚合方法

情境聚合是社会感知计算的主要研究工作之一,目前主要采用基于特征提取的方法,对社会的交流方式进行量化分析.但是大多数的研究中忽略了情境信息的时序性,针对社会感知计算中时序情境信息的聚合问题,首先对时序情境和计算情境的聚合过程进行探讨,提出基于时序扩展的计算情境元素,用于情境对象的聚合,并给出一种时序感知的社会网络节点集情境聚合方法.实验表明,该方法能够根据时间情境和计算情境元素的特点,把聚合对象划分为相对情境聚合对象和绝对情境对象,有效地对社会环境中的时序信息进行情境聚合.     

Tracking Co-evolution of Behavior and Relationships with Mobile Phones

The co-evolution of social relationships and individual behavior in time and space has important implications,but is poorly understood because of the difficulty of closely tracking the everyday life of a complete community.We offer evidence that relationships and behavior co-evolve in a student dormitory,based on monthly surveys and location tracking through resident cellular phones over a period of nine months.We demonstrate that a Markov jump process could capture the co-evolution in terms of the rates at which residents visit places and friends.Our co-evolution model will be useful in bridging sensor networks data and organizational dynamics theories,simulating different ways to shape behavior and relationships,and turning mobile phone data into data products.     

基于自适应相位旋转的Grover量子搜索算法

在使用Grover量子搜索算法对给定规模的无序数据库搜索时,随着搜索目标数的增加,获得正确结果的概率大幅度下降.分析了出现这种现象的原因,研究了算法中的Grover叠代过程,提出了一种新的自适应相位旋转策略.应用这一策略,当搜索目标数超过目标总数的(3-√5)/8时,只需两步搜索;当搜索目标数超过目标总数的1/4时,只需一步搜索,即可获得恒等于1的成功概率.实验表明新相位旋转策略是有效的.     

一种基于PC的快速三维图像重建方法

主要从传统FDK算法的改进和数据并行计算两方面来研究快速三维图像重建算法,提出了一种Z线优先重建法,能够有效地组织和划分重建数据,从而使得对重建数据的内存访问非常连续,便于采用单指令多数据(Single Instruction Multiple Data, SIMD)技术进行数据并行处理。最后基于Intel Pentium 4 CPU的PC平台,利用SSE/SSE2技术开发了三维图像快速重建引擎。实验结果表明本文提出的方法非常有效,与原始重建算法相比,在保证图像质量不受损失的前提下取得了20倍以上的重建加速比。     

现代网络打印解决方案

该文讨论网络计算环境下网络打印的概念、连接方式及其解决方案。     

教育经济贡献率的一种软计算方法

提出了一种新的教育经济贡献率的软计算方法,该算法由4个步骤组成:①按照科学技术水平对目标系统进行模糊软分类,得到最佳分类数,从而确定了最佳的规则数;②根据规则数确定模糊神经网络的结构,建立人力资本到经济增长的模糊映射,即“一次滤波”,得到人力资本对经济增长的贡献率αk;③建立教育到人力资本的模糊映射,即“二次滤波”,得到教育对人力资本的贡献率α′k;④计算教育对经济的贡献率ECFk=αk×α′k。最后,用该算法来计算我国教育对经济的贡献率。     

高等教育计算和信息技术学科面临的挑战

Despite the growth of the IT industry and the high demand for IT skills university departments seem unable to attract enough student to cater for the needs of the profession.There seems to be a misconception about the difference between IT user skills and the discipline of Computing.This article attempts to do three things:1)reinforce the view that a crisis of IT skills shortage is looming;2)reiterate the fact that computing science is an exciting discipline that is central to the knowledge economy and that career prospects in IT-related jobs are very good despite the fears surrounding outsourcing and 3)suggest that HE computing departments must be flexible enough to embrace a two-facetted challenge:a)the changing landscape of IT Skills and b)the high hopes and aspirations of the first generation of our digital-native student community.     

Modeling Trusted Computing

0 IntroductionThe purpose of trusted computingis to solve some of to-day’s security problems through hardware changes topersonal computer . The trusted property can be extendedfromroot of trust to entire PC platformthrough the chain oftrust[1].Root of trustis a small hardware device calledtrustedplatform module (TPM) addedto PC.A well-known project of trusted computing is trustedcomputing platformalliance(TCPA) .It is calledtrusted com-puting group (TCG) now[2 ,3]. Besides this , other…     

Study on High-Performance Computing for Simulation of End Milling Force

Milling Process Simulation is one of the important re search areas in manufacturing science. For the purpose of improving the prec ision of simulation and extending its usability, numerical algorithm is more and more used in the milling modeling areas. But simulative efficiency is decreasin g with increase of its complexity. As a result, application of the method is lim ited. Aimed at above question, high-efficient algorithm for milling process sim ulation is studied. It is important for milling process...     

求化工理论级数的一种可视化方法

根据McCahe-Thiele图解法原理，利用功能强大的Excel电子表格，设计了一个用于求解化工理论级数的可视化方法。利用Excel图表及自动填充功能实现了计算数据可视化，求解方法简单易用，避免了手工绘图计算和编程的麻烦。该方法适用于精馏、吸收、萃取、离子交换、吸附等分离过程理论级数可视化计算，也适用于多釜串联反应器级数可视化计算，可用于教学和工程计算。