FARMER: A novel approach to file access correlation mining and evaluation reference model

File semantic has proven effective in optimizing large scale distributed file system. As a consequence of the elaborate and rich I/O interfaces between upper layer applications and file systems, file system can provide useful and insightful information about semantic. Hence, file semantic mining has become an increasingly important practice in both engineering and research community. Unfortunately, it is a challenge to exploit file semantic knowledge because a variety of factors could affect this information exploration process. Even worse, the challenges are exacerbated due to the intricate interdependency between these factors, and make it difficult to fully exploit the potentially important correlation among various semantic knowledges. This article proposes a file access correlation miming and evaluation reference (FARMER) model, where file is treated as a multivariate vector space, and each item within the vector corresponds a separate factor of the given file. The selection of factor depends on the application, examples of factors are file path, creator and executing program. If one particular factor occurs in both files, its value is non-zero. It is clear that the extent of inter-file relationships can be measured based on the likeness of their factor values in the semantic vectors. Benefit from this model, FARMER represents files as structured vectors of identifiers, and basic vector operations can be leveraged to quantify file correlation between two file vectors. FARMER model leverages linear regression model to estimate the strength of the relationship between file correlation and a set of influencing factors so that the “bad knowledge” can be filtered out. To demonstrate the ability of new FARMER model, FARMER is incorporated into a real large-scale object-based storage system as a case study to dynamically infer file correlations. In addition FARMER-enabled optimize service for metadata prefetching algorithm and object data layout algorithm is implemented. Experimental results show that is FARMER-enabled prefetching algorithm is shown to reduce the metadata operations latency by approximately 30%–40% when compared to a state-of-the-art metadata prefetching algorithm and a commonly used replacement policy.     

Searching high gray scale FPD scanning matrix based on PSO

With the increase of gray scale and flat panel display (FPD) size, subspace bitwise scanning strategy can be replaced traditional scanning method to cut down frame frequency. However, the direct searching strategy (DSS) becomes unfeasible to obtain corresponding high gray scale scanning matrix. Thus, particle swarm optimization (PSO) is introduced to accelerate searching for high gray scale weights scanning matrix (WSM) with its parallelism and global optimization feature. Finally a WSM of 256 gray scales is found out successfully with Matlab, which both gray linearity and scanning efficiency are satisfied.     

学科管理之道与现代大学发展蹊径

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小学班主任阅读状况的调查研究

以上海市八个区县22所小学522名小学班主任为对象,调查了书籍阅读、杂志阅读、报纸阅读、网络阅读的状况.结果发现,小学班主任的阅读有一定数量和丰富性,但还需进一步提升,尤其需加强专业性导向.     

关于基础教育国际化的几个问题

教育国际化成为当前理论和实践热点话题,不同于高等教育国际化的是,基础教育的国际化特别需要讨论和澄清一些基本问题,如基础教育是否必须国际化,基础教育国际化与民族化的关系,基础教育与国际接轨问题,国际化人才培养与基础教育关系问题等.     

学习科学与教育政策——2011计算机支持的协作学习国际会议回顾

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在课程内外联动中夯实学前教育专业学生的基本功

专业基本功是学前教育教师素质的重要方面,学前教育师资培养机构首先应根据学前教育专业特点确定学前教育师资应当具备的基本功项目及其包含的基本能力,然后依此设计和编制相应的课程模块与体系,并为这些课程确定人人都能过关的基本目标,和能充分发挥学生潜力与兴趣、发展其专业个性的提升目标.为了培养学生扎实的基本功,除了通过加强主干课程的实践性与提高其实施质量确保学生获得这些基本能力外,还应通过相关课程和社团活动为学生提供进一步练习与运用这些基本功的机会,通过组织与课程进程相匹配的竞赛活动为学生提供展示这些基本功的平台,以促进学生对基本功的熟练掌握与灵活运用,最终形成基础厚实、内容充实的教育基本能力,提高其将来对岗位要求的适应力.     

未成年人贫困对个体健康、能力与就业的影响

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溴化（E）-1,1′-（六烷-1,6-二甲氨基）二（4-（E）-2-（噻吩基）乙烯基吡啶的合成、表征及光电性质的研究

合成和表征了一个新的吡啶衍生物溴化（E）-1,1′-（六烷-1,6-二甲氨基）二（4-（E）-2-（噻吩基）乙烯基吡啶,这是一种自组装膜合成的中间配体,具有特殊的结构特征和氧化还原性,以其为配体继续合成自组装膜材料,在共价和静电自组装膜研究的领域有很高的研究价值,本文对它的合成、表征及其紫外可见光谱和荧光光谱等的性质作一研究。     

谈谈数学思想在程序设计上的应用

在程序设计中,常常会用到数学上的很多思想。本文以C语言程序设计为例,进一步阐述数学思想在程序设计上的应用。