集群式计算机系统在生物信息学中的应用

1　Introduction　SMP (symmetricmulti processing)andMPP (mas sivelyparallelprocessing)arethetwotypesofstruc tureofparallelcomputing .　Symmetricmulti processingsystemshavemultipleCPUsattachedtothesamebusandsharingRAM .Massivelyparallelprocessingisthecooperated pro cessingofaprogrambymultipleprocessorsthatworkondifferentpartsoftheprogram ,witheachprocessorusingitsownoperatingsystemandmemory .ThechoicebetweenSMPandMPPdependsonthenatureoftheproblembeingsolved .Iftheproblemcanbeeasilypartit…     

对Bermond猜想(32)的一个注记

文章对Bermand猜想（2）加强条件后给出了证明。     

基于m-相依序列的学习机器相对一致收敛的界

为了研究m-相依序列下学习机器的推广性能,把基于独立同分布的结果推广到m-相依序列,建立采用ERM算法的学习机器的经验风险到它的期望风险相对一致收敛速率的界.并对m-相依序列现有的结论进行改进,得到了m-相依序列下,采用经验风险最小化算法学习机器的推广性能的界.     

Analysis on Chinese/English Code-Switching in Computer-Mediated Communication Based on Meme Theory

Nowadays,computer-mediated communication(CMC) becomes one of the most convenient ways for people to connect with each other in which Chinese/English code-switching has been frequently used and widely spread.The article will memeticly interpret this language phenomenon based on the authentic examples collected from various kinds of CMC,and point out that the Chinese/English code-switching in CMC is a kind of strong memeplex which includes many different strong memes,resulting in the popularity of Chinese/English code-switching in CMC.     

课程内容研究的新视野——TIMSS课程分析工具“主题追踪图”的演进与启示

美国密歇根州立大学施密特教授等人研究开发并完善的TIMSS"主题追踪图"作为重要的整体性课程分析工具,其使用的建模方法有效弥补了传统研究方法的不足。本文通过检索"主题追踪图"的演变轨迹,认为基于该工具的国际课程比较能全面反映各国课程在主题选择与组织层面的异同,而构建的课程连贯性理想模型更是提供了一种全新的课程内容研究思路与范式。     

基于构造-剪枝混合优化RBF网络的煤灰熔点预测方法

为提高煤灰熔点的预测精度,提出了一种基于构造-剪枝混合优化RBF网络的煤灰熔点预测方法.该方法融合了神经网络构造算法和剪枝算法的优点,分为“粗调”和“精调”2个阶段.粗调阶段动态增加隐节点数目直至满足相应的停止准则;精调阶段对粗调得到的RBF网络的结构和参数作进一步调整.基于煤灰的化学组成成分建立相应的构造-剪枝混合优...     

基于视频的城市快速路交通流检测及车辆行为监控

提出一种针对城市快速路的视频监控系统,完成交通流及道路异常行为检测.流量检测模块对车辆进行实时跟踪获得各类交通流统计数据,实现快速路车辆运行状况的全面掌控.异常监控模块运用隐马尔科夫模型,对带有时间和空间信息的车辆轨迹进行训练,获得路径划分后对道路车辆轨迹进行参数匹配,提取诸如超低(高)速行驶、违章停车、违规掉头等异常...     

基于PSO的控制系统中周期性任务的优化调度

控制系统中任务的调度不仅影响系统的资源利用率,而且影响系统的控制性能。首先分析了周期性实时任务,并给出了任务模型。基于此,采用了EDF调度算法。根据系统的性能指标与任务的采样周期的关系,采用粒子群算法对系统性能进行优化。仿真结果表明,这种算法是有效的。     

Prediction of self-reported knowledge with over-claiming, fluid and crystallized intelligence and typical intellectual engagement

We investigated the usefulness of the Over-Claiming Questionnaire (OCQ) as a measure of cognitive abilities. In OCQs respondents are asked to rate their familiarity with items of academic or everyday knowledge (Paulhus, Harms, Bruce, & Lysy, 2003). Some items exist in reality (reals), and others do not (foils). We developed four OCQs, each consisting of 40 reals and 8 foils from the domains of Science, Humanities and Civics. The OCQs were administered in a longitudinal rotation design to 112 participants who attended the 9th school grade at the beginning of the study. In latent variable regression analyses 53% of variation in the reals could be explained by fluid and crystallized intelligence and over-claiming as indicated by responses to foils. Further variation in responses to reals and foils was explained by intellectual engagement. Our results show that self-reported knowledge, although positively related to measures of ability, to a large extent reflects over-claiming.     

信息环境下西部地区大学生英语学习现状及其原因分析——以四川外语学院为例

信息技术影响到外语教与学的方方面面。对学生进行调查后发现,近半数学生喜欢通过网络和手机等电子工具学习英语;有1／3左右的学生喜欢通过虚拟学习环境学习英语;只有很少一部分学生喜欢去自主学习中心学习英语。从学生视角对造成上述现象原因进行分析有助于帮助学生提高学习能力。