@article {519,
	title = {Construction of trust based dynamic access control model in P2P network environment},
	journal = {Journal of Digital Information Management},
	volume = {14},
	year = {2016},
	note = {Export Date: 22 February 2018},
	month = {2016},
	pages = {194 - 198},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84982850708\&partnerID=40\&md5=d1a82b733bccde27611b24bd80b75668},
	author = {Han, Y. and Cui, X.}
}
@article {546,
	title = {Model of e-commerce cloud warehouse grading based on mass simulation data},
	journal = {Journal of Digital Information Management},
	volume = {14},
	year = {2016},
	note = {Export Date: 22 February 2018},
	month = {2016},
	pages = {311 - 321},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006846917\&partnerID=40\&md5=31b0b8c45c1082ef2e532a89c8699927},
	author = {Wang, F. and Wang, Y.-L. and Liu, Z.-J. and Cui, X. and Zhang, P.}
}
@article {445,
	title = {Research on the Application of SIFT Algorithm in UAV remote sensing image feature extraction},
	journal = {Journal of Digital Information Management},
	volume = {12},
	year = {2014},
	note = {Export Date: 10 July 2014},
	month = {2014},
	pages = {67 - 72},
	abstract = {UAV remote sensing is characterized by fast speed and flexibility and applied widely. The extraction and matching for feature point of UAV image is a foundational work in the application of UAV remote sensing. SIFT is a currently widely used feature point extraction algorithm that keeps invariant as the scale changes. It is also invariant as image changes in other aspects. Meanwhile it maintains certain stability to noise and light changes. SIFT is a kind of compute-intensive mission and usually takes much time. The author made parallel processing for SIFT algorithm and good accelerator ratio has been achieved on the premise of ensuring good result of feature point extraction and matching.},
	keywords = {Content processing, Feature point extraction, SIFT, UAV, Video frame processing},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84903184144\&partnerID=40\&md5=bddf4902f4b44d9155c7e7ef6b18bbbc},
	author = {Yuan, D. and Cui, X. and Xu, W. and Hong, X. and Yu, S.}
}
@article {406,
	title = {The design and implementation of library{\textquoteright}s user training system based on moodle},
	journal = {Journal of Digital Information Management},
	volume = {11},
	year = {2013},
	note = {Export Date: 10 July 2014},
	month = {2013},
	pages = {298 - 306},
	abstract = {A personalized online library user training system is built. Users can do self-training, group discussions, self-testing, personal views etc in the system. To make a friendly interface of the system, users will get interested in learning various retrieval skills and other resources. Taking the Library of Mudanjiang Medical University as the example, we build a user training system based on Moodle. The framework of the system consists of three parts: system module, resource module and activity modules. By using the system, users can more effectively improve the user{\textquoteright}s information retrieval ability, better use of library resources, especially databases; libraries can expand the scope of user training, and enhance the communication between the users and the libraries.},
	keywords = {Medical university library, Moodle, User training system},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84888380258\&partnerID=40\&md5=3c85e26ff123a30bec20f0933de4f6b3},
	author = {Sun, Y. and Liu, C. and Cui, X.}
}
