@article {390,
	title = {Algorithm research for supply chain demand prediction - Taking fresh agricultural product enterprises as example},
	journal = {Journal of Digital Information Management},
	volume = {11},
	year = {2013},
	note = {Export Date: 10 July 2014},
	month = {2013},
	pages = {160 - 164},
	abstract = {Supply chain demand prediction plays a very important role for enterprises to realize sales and markets management target effectively, especially for fresh agricultural product enterprises. A new model for supply chain demand prediction for fresh agricultural product enterprises is presented based on improved BP neural network. First the advantages and disadvantages of BP neural network algorithm are analyzed when it is used in supply chain demand prediction; Second, Legendre wavelets algorithm is used to speed up the convergence and improve the prediction accuracy of original BP neural network algorithm and based on this the paper advances a new supply chain demand prediction model for fresh agricultural product enterprises. Finally, certain fresh agricultural product enterprise is taken for example to verify the validity and feasibility of the model and the experimental results show that the model can improve prediction accuracy and decrease the calculation time and can be used for supply chain demand prediction practically.},
	keywords = {BP Neural Network, Legendre wavelets, Markets management, Supply chain demand prediction},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84879120765\&partnerID=40\&md5=78a05f213a7f4f86b41f6e014b4c897b},
	author = {Wang, H.}
}
@article {360,
	title = {Application study on visual discussion technique in group decision making of sudden disasters},
	journal = {Journal of Digital Information Management},
	volume = {10},
	year = {2012},
	note = {Export Date: 10 July 2014},
	month = {2012},
	pages = {373 - 378},
	abstract = {Emergency management of sudden disasters needs a quick and efficient decision made by a group. The authors propose a visual discussion technique in group decision making of sudden disasters and construct the main technique process based on visualization theory. Based on this, Through the key techniques are researched and implemented. As for Multiagents in the discussion, they can obtain more accurate cognition of current sudden disaster situation and form efficient emergency predetermined plan by discussion and analysis in the short time.},
	keywords = {Emergency Management of Sudden Disasters, Group Decision Making, Semantic Cluster Analysis, Visual Discussion Technique},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84874910051\&partnerID=40\&md5=0a893329cccfb221cc012d5e9b72840e},
	author = {Tao, F. and Wang, H. and Liu, G.}
}
@article {294,
	title = {A dynamic role-based authorization model in grid environment},
	journal = {Journal of Digital Information Management},
	volume = {9},
	year = {2011},
	note = {Cited By (since 1996):1Export Date: 10 July 2014},
	month = {2011},
	pages = {242 - 248},
	abstract = {In large-scale grid environment, the authorization plays a vital role in access control to resources. For the demand of higher dynamicity, complexity and granularity on grid environment, a novel model named dynamic role-based access control (DRBAC) based on RBAC model is presented. DRBAC introduces conceptions of several objects such as rolegraph initial structure, atom role and middle role, and it can automatically adjust the role-graph{\textquoteright}s structure through dynamically adding new roles or deleting original roles. The authorization mechanism which combines DRBAC model and CAS servers provides an effective method to solve loading and security problems. Theoretical analyses and example demonstrate that it is of high safety and has good time and space complexity when authorizing.},
	keywords = {CAS server, DRBAC, Dynamic role},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84855373392\&partnerID=40\&md5=1f10e75d6a2d4f01105000efde1e9fdc},
	author = {Sun, W. and Guo, C. and Zhang, P. and Zhang, N. and Wang, H.}
}
@article {298,
	title = {Fusion user browsing behavior and user interests autonomous control of personalized search results sort},
	journal = {Journal of Digital Information Management},
	volume = {9},
	year = {2011},
	note = {Export Date: 10 July 2014},
	month = {2011},
	pages = {271 - 275},
	abstract = {Reference simplifies the ODP concept, establish a user hierarchical structure can be controlled autonomously interest preference expression of use interests model. Meanwhile, from the user{\textquoteright}s browsing behavior can reflect the user{\textquoteright}s interest in starting, this paper analyzes the relationship between the user{\textquoteright}s browsing behavior and user interest. Considering both the times of page visiting and the browsing speed for the degree of use interest, as well as the similarity of the page keywords and a single user interest point, the index can be obtained for evaluating whether a page meets the user interest preference. Utilizing it as search results of evaluation indexes, search results sorting. Further analysis under different integrity of user interests of description and different results processing under the way of sorting effect, through individual apiration is decided according to user{\textquoteright}spersonal interest in server-side describe file integrity of, will be willing to disclosure of personal information stored in the search engine server in order to improve the quality of the search results, sensitive personal information retained in local client, reach users privacy protection effect.},
	keywords = {Degree of User Interest, Personalized Search, Privacy protection, Sort Search Results, User Interest Model, User{\textquoteright}s Browsing Behaviors},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84855413177\&partnerID=40\&md5=42962ce43dcfb6f7b617b32ec5cecdcd},
	author = {Li, J. and Wang, H. and Guo, Y.}
}
