关于高校学分制下选课模式的探索和实践

本论述通过对选课制度的总结和思考,指出了西部地方高校选课过程中存在的问题和矛盾,提出了完全选课、指定代选和灵活退选、自由选课加上限控制三种选课模式,提出了针对不同类型课程灵活地选择不同的选课模式、不同条件下调整三种选课模式权重的选课解决方案,为西部高校学分制下选课制度的完善和发展提出了新的思路和方案。     

基于近邻模型与概率矩阵分解的高校选课推荐算法

为研究高校教务信息管理系统中学生自主在线选课的个性化推荐问题,采用基于近邻模型与概率矩阵分解相融合的改进算法.通过衡量学生(选课)之间的相似关系寻找相似学生(选课),再将与学生(选课)相似性最大的邻居集合应用到基于概率矩阵分解的协同过滤推荐算法中,最终依据预测评分值和限制条件给出Top-K推荐结果排序.原型系统测试实验结果表明:改进算法更适用于高校选课推荐应用,并能够有效地解决数据稀疏问题.     

"学分制"定量的分析和定性的思考

"以人为本"的"学分制"对推进高校改革,深化教育体制改革有着重要的意义。本文从数据挖掘的角度出发,通过Apriori算法对某系1000名学生选修课进行无记名问卷得到的事务数据库进行数据挖掘,得到了一些关联规则,通过分析挖掘出来的关联规则,给出"学分制"以及选课体制中存在的问题。     

基于协同过滤的高校推荐选课系统的设计与实现

为了克服学生在选课过程中的盲目性,高校在考虑学生专业、偏好以及学习程度等方面的基础上,普通使用选课系统为学生推荐适用课程.但目前的高校选课系统中缺乏个性化课程、选课效率过低,本文提出了一种基于协同过滤的高校推荐选课系统的设计与实现.经过实验表明,该系统完全能够解决选课系统的个性化推荐问题,在增强课程资源利用率的基础上,极大的调动了学生的学习兴趣,并进一步提高了高校学生的选课质量.     

基于数据挖掘技术的大学生选课系统应用研究

商品"购物篮"法则是指超市将存在内在联系的某些特定商品摆放在一起,从而提高购物效率、增加营业额的营销手段。大学生选课与顾客超市购物有许多相似之处。本文基于商品购物篮法则,对大学生选课数据进行深度挖掘,建立"网络"图形分析模型、GRI模型、决策树模型和规则集,寻找课程之间内在联系,对大学选课系统、选课模式提出基于数据分析结果的科学合理的建议。     

复旦大学选课系统的性能优化策略研究和实践

针对高校选课系统具有短时间内访问量大、业务复杂的情况,在总结近年来复旦大学选课系统的问题和教训的基础上,创造性的提出了使用专用工具量化系统性能,并通过分析数据制定相应的优化策略,最终取得了良好的效果.此方法在很大程度上解决了高校短时多并发业务对正常业务的冲击,对类似问题的解决有一定的借鉴和指导作用.     

基于关联挖掘的课程相关性模式研究

基于关联规则挖掘理论,采用经典Apriori算法,通过对某高校历届学生专业修读课程及考试成绩数据与规律、规则等的学习,发现了数据中隐藏的课程相关规则或模式.针对所产生的大量模式和规则进行兴趣度分析,提取出符合高校教学管理与改革需要的、更有效的课程相关规则,对指导当今高校学分制体系下学生选课、排课及学生个性化学业修读计划制订与实施等具有积极意义.     

“雨课堂”融入高校体育公选课课堂教学的研究

高校体育公选课课堂多以培养学生运动习惯、提高大学生身体素质、传授运动技能为主要目标。随着教学工具和教学方式的进步和创新,传统的体育公选课课堂兀显出了几大突出问题:一是对学生的兴趣激发度不够;二是重"技术"轻"理论",很难在体育实践课堂中让学生系统掌握运动理论知识;三是无法得到即时的教学反馈,学生存在除了体育课以外,平时完全不锻炼的现象。基于清华大学研发的雨课堂工具,其简易、便捷的操作性,教学数据的自动化统计,通过在教学设计上灵活地运用雨课堂,可在解决以上问题的同时发挥优势、融合互补,更好地实现高校体育公选课的教学目标和教学效果最大化。     

高校公选课的调查现状及对策分析——以辽宁医学院为例

高校公选课旨在拓宽学生的知识面,提高学生的创新和动手能力,是国家实施素质教育的重要组成部分。为充分发挥公选课在高校全面推进素质教育方面的作用,结合辽宁医学院公选课实际调查情况,分析了公选课在教学管理中存在的主要问题,并提出了相应的改进措施。     

数据挖掘技术在选课系统中的应用

许多高校都拥有选课系统,并积累了大量的原始数据,这些数据中包含了大量潜在的、未知的有用信息,这些“信息”可以辅助相关部门进行合理的教学资源分配并做出相应决策。本文基于高校选课系统,讨论了数据预处理和数据挖掘技术,并应用关联规则中的FP-tree算法挖掘选课数据,获得了一些有用的规则信息,取得了良好的应用效果。     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.     

Tracking data management using topology of moving object database system for moving object constrained trajectory in LBS application

Advances in wireless technologies and positioning technologies and spread of wireless devices, an interest in LBS (Location Based Service) is arising. To provide location based service, tracking data should have been stored in moving object database management system (called MODBMS) with proper policies and managed efficiently. So the methods which acquire the location information at regular time intervals then, store and manage have been studied. In this paper, we suggest tracking data management techniques using topology that is corresponding to the moving path of moving object. In our techniques, we update the MODBMS when moving object arrived at a street intersection or a curved road which is represented as the node in topology and predict the location at past and future with attribute of topology and linear function. In this technique, location data that are corresponding to the node in topology are stored, thus reduce the number of update and amount of data. Also in case predicting the location,because topology are used as well as existing location information, accuracy for prediction is increased than applying linear function or spline function.