Linux模块实现机制剖析

本文讨论了操作系统的两种基本组织方式,即一体化内核与微内核的基本概念,分析了它们各自的优缺点,进而阐明了在Linux下引入内核模块的主要动机,着重以图解的方式论述了Linux内核模块的实现机制。     

Tracking multiple people under occlusion and across cameras using probabilistic models

Tracking multiple people under occlusion and across cameras is a challenging question for discussion. Furthermore, the cameras in this study are used to extend the field of view, which are distinguished from the same field of view. Such corre-spondence between multiple cameras is a burgeoning research subject in the area of computer vision. This paper effectively solves the problems of tracking multiple people who pass from one camera to another and segmenting people under occlusion using probabilistic models. The probabilistic models are composed ofblob model, motion model and color model, which make the most of the space, motion and color information. First, we present a color model that uses maximum likelihood estimation based on non-parametric kernel density estimation. Second, we introduce a blob model based on mean shift, which segments the body into many regions according to the color of each person in order to spatially localize the color features corresponding to the way people are dressed. Clothes can be any mixture of colors. Third, we bring forward a motion model based on statistical probability which indicates the movement position of the same person between two successive frames in a single camera. Finally, we effectively unify the three models into a general probabilistic model and attain a maximization likelihood probability image, which is used to segment the foreground region under occlusion and to match people across multiple cameras.     

Feature selection for face recognition: a memetic algorithmic approach

The eigenface method that uses principal component analysis （PCA） has been the standard and popular method used in face recognition. This paper presents a PCA - memetic algorithm （PCA-MA） approach for feature selection. PCA has been extended by MAs where the former was used for feature extraction/dimensionality reduction and the latter exploited for feature selection. Simulations were performed over ORL and YaleB face databases using Euclidean norm as the classifier. It was found that as far as the recognition rate is concerned, PCA-MA completely outperforms the eigenface method. We compared the performance of PCA extended with genetic algorithm （PCA-GA） with our proposed PCA-MA method. The results also clearly established the supremacy of the PCA-MA method over the PCA-GA method. We further extended linear discriminant analysis （LDA） and kernel principal component analysis （KPCA） approaches with the MA and observed significant improvement in recognition rate with fewer features. This paper also compares the performance of PCA-MA, LDA-MA and KPCA-MA approaches.     

基于Linux的内核数据捕获技术研究

以Linux作为数据捕获的平台,以捕获系统的所有活动特别是入侵者的加密会话为目标,提出了一种利用Rootkit技术,通过替换系统调用sys_read,sys_write,sys_open,sys_socketcall等来从内核捕获数据的技术。     

基于科技统计指标的高校科技激励对策分析

针对高校科技统计年报表的统计要求,提出高校科技统计指标的三级评估等级,并以某高校近5年的科技统计部分指标数据为例,详细地分析高校科研能力与发展趋势,其统计指标分析结果为高校科技管理制定更客观和实际的激励对策与意见提供科学的参考依据。     

认知视角下的大学英语词汇搭配教学简

词汇搭配是外语教学的瓶颈,然而它在大学英语词汇教学中并未受到足够重视,大学生们在词汇搭配能力方面普遍比较欠缺.基于搭配认知研究成果,提出大学英语搭配认知教学的三个建议,以期促进学生词汇搭配习得、提高搭配生成能力.建议教学时由基本层次范畴词的搭配延伸至上位词和下位词;多分析词汇搭配的隐喻机制,尤其注意分析英汉“对等词”因概念隐喻差异造成的搭配差异;另外,以课文主题为核心范畴概念,引导学生进行语块联想,建立词汇语义范畴网络.     

“三方深度融通、三级顶岗实习”人才培养模式探讨——以云南林业职业技术学院木材加工技术专业群为例

结合高职木材加工技术专业群特点,提出构建木材加工技术专业群"三方深度融通、三级顶岗实习"的人才培养模式。分析了"三方深度融通"内涵和具体内容以及"三级顶岗实习"内涵,提出了"三级顶岗实习"具体实施方案,并对初步实施的效果进行了分析,指出了需要加强的环节。     

Socio-cognitive dynamics of knowledge building in the work of 9- and 10-year-olds

This study examines four months of online discourse of 22 Grade 4 students engaged in efforts to advance their understanding of optics. Their work is part of a school-wide knowledge building initiative, the essence of which is giving students collective responsibility for idea improvement. This goal is supported by software—Knowledge Forum—designed to provide a public and collaborative space for continual improvement of ideas. A new analytic tool—inquiry threads—was developed to analyze the discourse used by these students as they worked in this environment. Data analyses focus on four knowledge building principles: idea improvement; real ideas, authentic problems (involving concrete/empirical and abstract/conceptual artifacts); community knowledge (knowledge constructed for the benefit of the community as a whole); and constructive use of authoritative sources. Results indicate that these young students generated theories and explanation-seeking questions, designed experiments to produce real-world empirical data to support their theories, located and introduced expert resources, revised ideas, and responded to problems and ideas that emerged as community knowledge evolved. Advances were reflected in progress in refining ideas and evidence of growth of knowledge for the community as a whole. Design strategies and challenges for collective idea improvement are discussed.

“少数民族高层次骨干人才计划”定向就业执行研究--基于政策目标群体就业现状的调查分析

定向就业执行的有效性是衡量“少数民族高层次骨干人才计划”政策成败的关键。研究表明,定向就业管理过程中存在执行偏差问题。造成该问题的原因是多方面的：政策认知偏差和宣传不到位导致政策执行受阻;政策执行过程中存在较严重的重控制、轻服务的倾向;政策目标群体偏好的变化导致政策执行处于虚置状态等。基于此,确保政策执行忠实于政策目标、完善契约关系等构成了化解该政策执行问题的关键。     

虚拟嵌入式开发环境中的Linux内核移植与裁剪

要文利用虚拟化技术,构建了嵌入式虚拟开发环境,并在此基础上通过对linux内核进行移植和裁剪,使得Linux内核可以在虚拟开发环境中运行,并进行相关项目的开发。