01718nas a2200181   4500008004100000245011700041210006900158260000900227300001400236490000700250520104700257653002201304653002201326653002301348653003501371100001301406856011701419       2013                        eng d00aAlgorithm research for supply chain demand prediction - Taking fresh agricultural product enterprises as example0 aAlgorithm research for supply chain demand prediction Taking fre  c2013  a160 - 1640 v113 aSupply 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.10aBP Neural Network10aLegendre wavelets10aMarkets management10aSupply chain demand prediction1 aWang, H.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84879120765&partnerID=40&md5=78a05f213a7f4f86b41f6e014b4c897b01280nas a2200205   4500008004100000245009800041210006900139260000900208300001400217490000700231520054900238653004500787653002600832653003000858653003200888100001200920700001300932700001200945856011700957       2012                        eng d00aApplication study on visual discussion technique in group decision making of sudden disasters0 aApplication study on visual discussion technique in group decisi  c2012  a373 - 3780 v103 aEmergency 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.10aEmergency Management of Sudden Disasters10aGroup Decision Making10aSemantic Cluster Analysis10aVisual Discussion Technique1 aTao, F.1 aWang, H.1 aLiu, G.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84874910051&partnerID=40&md5=0a893329cccfb221cc012d5e9b72840e01430nas a2200217   4500008004100000245006500041210006200106260000900168300001400177490000600191520079100197653001500988653001001003653001701013100001201030700001201042700001401054700001401068700001301082856011701095       2011                        eng d00aA dynamic role-based authorization model in grid environment0 adynamic rolebased authorization model in grid environment  c2011  a242 - 2480 v93 aIn 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'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.10aCAS server10aDRBAC10aDynamic role1 aSun, W.1 aGuo, C.1 aZhang, P.1 aZhang, N.1 aWang, H.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84855373392&partnerID=40&md5=1f10e75d6a2d4f01105000efde1e9fdc01986nas a2200229   4500008004100000245010800041210006900149260000900218300001400227490000600241520120300247653002801450653002401478653002301502653002401525653002401549653003001573100001101603700001301614700001201627856011701639       2011                        eng d00aFusion user browsing behavior and user interests autonomous control of personalized search results sort0 aFusion user browsing behavior and user interests autonomous cont  c2011  a271 - 2750 v93 aReference simplifies the ODP concept, establish a user hierarchical structure can be controlled autonomously interest preference expression of use interests model. Meanwhile, from the user's browsing behavior can reflect the user's interest in starting, this paper analyzes the relationship between the user'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'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.10aDegree of User Interest10aPersonalized Search10aPrivacy protection10aSort Search Results10aUser Interest Model10aUser's Browsing Behaviors1 aLi, J.1 aWang, H.1 aGuo, Y.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84855413177&partnerID=40&md5=42962ce43dcfb6f7b617b32ec5cecdcd