@article {348,
	title = {University teachers{\textquoteright} performance appraisals model based on DEA and AHP},
	journal = {Journal of Digital Information Management},
	volume = {10},
	year = {2012},
	note = {Export Date: 10 July 2014},
	month = {2012},
	pages = {332 - 340},
	abstract = {The university teachers{\textquoteright} performance appraisals model decides the development of scientific research. And a set of scientific, reasonable and comprehensive model is the premise and foundation to evaluate it. First, this article analyses the domestic and foreign university teachers{\textquoteright} performance appraisals model. Second, it combines the current teachers{\textquoteright} performance appraisals theory and practice research, and discusses the questionnaire suitable for the university teachers{\textquoteright} performance appraisals model in our country. Third, through the questionnaire data analysis, the paper uses factor-analysis-method to screen indexes. Fourth, the paper uses AHP method and calculates the index weights for all levels. Finally, the paper establishes the university teachers{\textquoteright} performance appraisals index model based on DEA.},
	keywords = {AHP, Index system, Performance appraisals, Quantization},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84870835193\&partnerID=40\&md5=a2b5682b9d4038ce96253a8d99015975},
	author = {Bei, W. and Dongsheng, L.}
}
@article {172,
	title = {Vector maps compression for progressive transmission over the Internet},
	journal = {Journal of Digital Information Management},
	volume = {7},
	year = {2009},
	note = {Export Date: 10 July 2014},
	month = {2009},
	pages = {90 - 95},
	abstract = {A problem of progressive transmission of the large vector maps from spatial information systems to the clients over the Internet or by channels with narrow bandwidth is considered. First, a simplified version of the vector map is sent to a client. The client can manipulate with the data at the coarse resolution level and request finer version of the map or of a part of the map. The proposed algorithm includes optimal multiresolution polygonal approximation used jointly with multiresolution quantization and compression of the quantized data with arithmetic codes. The proposed approach demonstrates a high compression performance with optimal and heuristic algorithms for polygonal approximation.},
	keywords = {Map server; Gis, Multi-resolution polygonal approximation, Progressive transmission, Quantization, Vector maps compression},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70350649032\&partnerID=40\&md5=062e8eba1305927bde4445dff5809733},
	author = {Kolesnikov, A.}
}
