A hybrid recommendation algorithm adapted in e-learning environments

With the rapid development of online learning technology, a huge amount of e-learning materials have been generated which are highly heterogeneous and in various media formats. Besides, e-learning environments are highly dynamic with the ever increasing number of learning resources that are naturally distributed over the network. On the other hand, in the online learning scenario, it is very difficult for users without sufficient background knowledge to choose suitable resources for their learning. In this paper, a hybrid recommender system is proposed to recommend learning items in users’ learning processes. The proposed method consists of two steps: (1) discovering content-related item sets using item-based collaborative filtering (CF), and (2) applying the item sets to sequential pattern mining (SPM) algorithm to filter items according to common learning sequences. The two approaches are combined to recommend potentially useful learning items to guide users in their current learning processes. We also apply the proposed approach to a peer-to-peer learning environment for resource pre-fetching where a central directory of learning items is not available. Experiments are conducted in a centralized and a P2P online learning systems for the evaluation of the proposed method and the results show good performance of it.     

Everything-as-a-service platform for on-demand virtual enterprises

While constructing virtual enterprises, it is crucial to flexibly integrate heterogeneous business resources and processes of different business partners and make them collaborate dynamically. Keeping involved IT systems or components as autonomous and loose-coupled services, the “Everything as a Service” concept supports flexible integration of heterogeneous applications. We adopt this concept and analyze the challenges in virtual enterprise construction, then propose a service platform for on-demand virtual enterprises. The platform supports flexible integration of networked resources, and facilitates virtual enterprise construction with business process utility, trusted service composition and data service centric business collaborations. At the end of the paper, together with a case study, experimental evaluations in contexts of concurrent multi-users are presented, showing the effectiveness and performance of the platform.     

A keyword retrieval system for historical Mongolian document images

In this paper, we propose a keyword retrieval system for locating words in historical Mongolian document images. Based on the word spotting technology, a collection of historical Mongolian document images is converted into a collection of word images by word segmentation, and a number of profile-based features are extracted to represent word images. For each word image, a fixed-length feature vector is formulated by obtaining the appropriate number of the complex coefficients of discrete Fourier transform on each profile feature. The system supports online image-to-image matching by calculating similarities between a query word image and each word image in the collection, and consequently, a ranked result is returned in descending order of the similarities. Therein, the query word image can be generated by synthesizing a sequence of glyphs when being retrieved. By experimental evaluations, the performance of the system is confirmed.     

Thermooxidative degradation of natural rubber/clay composite

The clay is treated with a reducing agent and an acid so as to obtain a clay containing various metal components with a variable‐valence state. Then, the clay is coprecipitated with natural rubber (NR) latex to prepare a vulcanized NR/clay composite. The degradation process of the NR/clay composite under hot air condition was studied dynamically by using a Fourier transform infrared spectrometer attaching an in situ sample cell and was also investigated using the TGA method. The test result obtained from the infrared spectrometry indicated that under low decomposition temperature, the decomposition products of the test samples mainly are ethylene, low molecular olefinic hydrocarbon, and carbonyl compounds. As the decomposition temperature rises, the low molecular olefinic hydrocarbon content decreases, the olefine with longer chain is formed, and a lot of alkane decomposition products are formed at the same time. When the content of the metal components with a variable‐valence state in clay such as Cu, Mn, Co, and Fe increases, the oxidation products containing the carbonyl group, the olefinic hydrocarbon, and CO₂ in the decomposition product of the test sample also increase. The TGA result clearly shows a shoulder peak that appears by the side of the main peak on the DTG curve of NR/clay composite. With the increase in the content of metal components with variable‐valence state in clay, the initial degradation temperature of the test sample (T₀), the degradation peak temperature (T_p1), and the final degradation temperature (T_f1) in first‐stage reaction, as well as the degradation peak temperature (T_p2) and the last final degradation temperature (T_f) in second‐stage reaction of all the test samples more or less shift to the direction of low temperature; besides, the activation energy (E) of the reaction of the test samples more or less decreases. This means that the metal components with variable‐valence state promote the oxidative degradation of the clay–rubber masterbatch. © 2006 Wiley Periodicals, Inc. J Appl Polym Sci 100: 3809–3815, 2006     

管材超声波分层缺陷检测中盲区的构成探析

管材超声波分层检测作为控制产品质量的关键步骤,必须引起相关从业人员的重视,特别是要重点分析分层缺陷检测中盲区的构成原因和分布特征。只有这样,才能切实保证检测结果的准确性,更好地控制管材质量。通过对超声波分层缺陷检测的重要性进行阐释,分析了其中盲区的构成和分布等问题。     

整定管理软件系统在继电保护故障分析中的应用探析

结合实际工作经验,讨论了整定计算软件在新型继电保护系统中应用的必要性,评定和探究了整定管理在继电保护故障分析中的运用,并总结了整定管理在整套系统中的实际应用。     

依托软件和信息技术服务业,助推大连经济转型升级

软件和信息技术服务业作为信息化的核心和灵魂,对经济社会发展具有重要的支撑和引领作用。然而,在当前国际金融危机、人力资本上升、国内外城市激烈竞争等众多不利因素的影响下,软件和信息技术服务业发展面临艰巨的挑战。因此,本文以大连为研究对象,结合当前的形势,分析发展软件和信息服务业的重要作用,并为如何发展好软件和信息技术服务业提出对策建议。     

建筑工程施工管理之我见

随着社会的快速发展,建筑工程施工随处可见,工程规模也越来越大.因此,开展有效的建筑工程施工管理是十分重要的.通过分析实际建筑施工管理中遇到的问题,提出了相应的解决措施.     

基于SkyEye的嵌入式Linux移植仿真技术研究

在嵌入式系统开发中,经常需要硬件开发板来调测软件,不仅操作繁琐,硬件环境不稳定时问题也很难定位;有时还会遇到软件等待硬件调试,延误开发周期的情况。在PC桌面系统下,探讨了一种基于SkyEye虚拟硬件技术的嵌入式平台仿真技术,介绍如何建立仿真基础环境,编译嵌入式Linux内核,制作根文件系统,编译、配置SkyEye,以S3C6410X为目标机处理器,将Linux内核及文件系统移植到基于SkyEye虚拟的ARM体系架构下,为嵌入式系统的研发探索了一种新的途径。     

多壁碳纳米管与聚(2-乙酰基-5-溴噻吩)复合纳米材料修饰玻碳电极同时检测对苯二酚、邻苯二酚和对甲苯酚

该文利用多壁碳纳米管(MWCNTs)和聚(2-乙酰基-5-溴噻吩)复合纳米材料修饰电极,用于同时检测对苯二酚(HQ)、邻苯二酚(CC)和对甲苯酚(PC)。通过循环伏安法(CV),示差脉冲伏安法(DPV)和透射电镜(TEM)表征了该复合纳米材料的电化学性能和表面形貌。结果表明该电极对HQ、CC和PC具有较高的灵敏度和选择性。DPV峰电流与HQ、CC和PC的浓度在1.0×10-5～8.0×10-4mol/L,5.0×10-6～5.5×10-4mol/L和5.0×10-6～7.5×10-4mol/L范围内分别呈良好的线性关系,且检测限分别为3.0×10-6 mol/L,1.7×10-6 mol/L和2.0×10-6mol/L。