Beijing Foreign Studies University is a university located in Beijing, China. It is China's foremost foreign language teaching university according to recent collegiate rankings.The university's campus occupies 304,553 square meters, with a student dormitory area of 40,000 m² and a library of 9997 m², and is divided in two by Beijing's Third Ring Road. Other facilities on campus include an audiovisual center, a gymnasium, dining halls, and tennis courts. The university is popularly known as Běiwài in Mandarin and BFSU in English.As a renowned teaching university, BFSU was affiliated with the Ministry of Foreign Affairs from its establishment in 1941 to the early 1980s and was classified a key university under the Ministry of Education.The wide ranging studies at BFSU are provided by over 600 faculty members, in addition to approximately 120 international experts and teachers invited from more than 20 countries each year. BFSU qualified for the first round of the competition in its efforts to enter Project 211, a university development programme launched by the Ministry of Education in 1996. Wikipedia.
Liang Y.,Beijing Foreign Studies University
3rd International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010 | Year: 2010
In order to share the intelligence among all kinds of mobile nodes, this paper puts forward the intelligence sharing technology based on mobile agents in mobile peer-to-peer (MP2P) system. The MP2P system could build up a common applicable theoretical framework for mobile intelligence management such as mobile intelligence acquisition, query, synchronization, cache, and prefetching. In order to reduce the maintenance cost of intelligence index table for the mobile nodes in the MP2P network, use the edge intelligence of network enough, and parallel process the mobile task of network, we propose the intelligence management technology based on mobile agent (MA), which improves the execution efficiency of security authentication, intelligence distribution, cache prefetching, transaction processing, location service, and task cooperation among the mobile nodes. © 2010 IEEE.
Ye L.,Beijing Foreign Studies University
Proceedings of the International Conference on E-Business and E-Government, ICEE 2010 | Year: 2010
In a social network, nodes and links represent participants and their friendships respectively, and many applications also have this character. When tourists are traveling, they usually want to get the help of Location Based Services (LBS). However, the charge for using LBS is so much that there are few people could accept this new consumptive method. We take note of that the information, required by tourists coming from the same group with heterogeneous communication equipments, usually focuses on a certain area. So we propose the mobile peer-to-peer (MP2P) technology built on the social network model. MP2P network can let message be transferred among neighbors instead of in the whole communication system, and this could save information in a group and meet the need for the other tourists through storage and transmitting. So the tourists could cut down the fee of using LBS. © 2010 IEEE.
Chi X.,Beijing Foreign Studies University
Proceedings - 2015 International Conference on Intelligent Transportation, Big Data and Smart City, ICITBS 2015 | Year: 2015
The decision-making model is a model established for the management decision, that is, it is a mathematical model developed to aid the decision-making. With the development of operational research, some effective decision-making analysis methods such as linear rule, dynamic rule, game theory, queuing theory, savings and deposit model, scheduling model have appeared. The fuzzy mathematics theory and statistical theory have been used in this paper and the evaluation of the quality of Physical Education (PE) is taken as an example to develop the multivariate decision- making mathematical models and their standards and methods, and the application value of multivariate decision-making mathematical models has been clarified. © 2016 IEEE.
Ye L.,Beijing Foreign Studies University
Procedia Environmental Sciences | Year: 2011
When we take cognizance of the regular track of moving objects within a limited area, we put forward an indexing method for grouping the moving objects with Grid based on Time-Parameterized R-tree (GG TPR-tree). With the GG TPR-tree, we can use the grouped moving objects which are neighbors and will run to the same direction in the future to improve the efficiency for indexing. So, we put forward the grouping algorithm and clustering algorithm based on grid, and moving objects indexing maintenance algorithm and moving objects indexing update algorithm based on grouping. Experimental results show that the performance of GG TPR-tree's indexing maintenance method is better than the other indexing structure on managing a great capacity of moving objects within a limited area. © 2011 Published by Elsevier Ltd.
Fan J.,Shanghai JiaoTong University |
Fan J.,Beijing Foreign Studies University |
Zhang P.,Shanghai JiaoTong University |
Yen D.C.,SUNY College at Oneonta
Information and Management | Year: 2014
Despite its importance in government operations, G2G information sharing remains a challenge for IT professionals worldwide. While recent literature has examined this challenge in Western countries, little has been published on Eastern countries. We developed a four-layer model of G2G information sharing across horizontal functional agencies and used it to conduct an analysis of sites within Chinese contexts. Included in the model were the external environment, interagency partnership, organizational readiness, and user expectation. Through empirical testing, we found that the authority of the upper-level leadership, GuanXi, compatibility, top-management support, cost, process security, and expected risks and benefits had a significant influence on the degree of G2G information sharing. However, laws and policies, interagency trust and IT capability had no significant influence on the degree of G2G information sharing. Also, the expected benefits and the degree had positive effect on the performance of G2G information sharing while expected risks had no significant effect on the performance of G2G information sharing. © 2013 Published by Elsevier B.V.