Liu Z.,Suzhou Vocational University |
Liu W.,Suzhou Vocational University |
Gu C.,Modern Information Technology Application in Enterprise
Proceedings of the 8th International Conference on Computer Science and Education, ICCSE 2013 | Year: 2013
Cloud computing is a new network application mode. Along with the arrival of the era of cloud computing, cloud computing technology are also used in the field of education. This article first expounds the concept and characteristics of cloud computing, analyzes the existing problems of the existing teaching resources network platform, probes into the coordination sharing mode of the network teaching resources based on cloud computing, promoting the centralized management and the equilibrium distribution of the network teaching resources, realized 'build', 'sharing' and 'sharing' of the digital teaching resources, so as to improve teaching quality. © 2013 IEEE.
Zhi D.,Modern Information Technology Application in Enterprise
ICCASM 2010 - 2010 International Conference on Computer Application and System Modeling, Proceedings | Year: 2010
Work-in-progress(WIP) plays very important roles in mainaining regular production and minimizing production costs. In this sense, its roles, allocation methods and optimum amount are analyzed. Its optimization model is proposed, where the proportional & integral (PI) control algorithm is adopted with sensitivity options as constraints. Simulation results confirm that PI controllers can ensure stable work-in-progress under dynamic demands. © 2010 IEEE.
Xian X.,Modern Information Technology Application in Enterprise |
Xian X.,Soochow University of China |
Zhao P.,Modern Information Technology Application in Enterprise |
Zhao P.,Soochow University of China |
And 5 more authors.
Journal of Computers | Year: 2010
An ever increasing amount of valuable information is stored in web databases, hidden behind search interfaces. A new application area emerge for information retrieval and integration. There may be hundreds or thousands of web databases providing data of relevance to a particular domain on the web. So a primary challenge to internet-scale hidden web database integration is to determine in which web databases to include in the integration system with the aim of making the system contain as much high-quality data as possible and the least degree of overlap. In this paper, we present an approach to iteratively select and integrate candidate web database. The core of this approach is a benefit function that evaluates how much benefit the web database brings to a given status of an integration system by integrating it. We devise a benefit function based on the volume and quality of those new data that added to integration system by integrating the web database. We show in practice how to efficiently apply our approach to select and integrate web database. Our experiments on real hidden web databases indicate that the selected and integrated result of web databases produced by our approach yields an integration system with a significant higher utilities than a wide range of other strategies. © 2010 Academy Publisher.