Evaluation on economies of scale of higher education with grey relational model — A case in Heilongjiang province

Author(s):  
Xi GuangMing ◽  
Xie Naiming ◽  
Liu Huilin ◽  
Zhao Qiuming
2003 ◽  
Vol 70 (1) ◽  
pp. 172-183
Author(s):  
David N. Laband ◽  
Bernard F. Lentz

2012 ◽  
Vol 461 ◽  
pp. 343-346 ◽  
Author(s):  
Gang Li ◽  
Ying Fang ◽  
Ya La Tong

Automatic detection of pavement cracks is one of the very hot topics. For the characteristics of “small data, poor information” in the surface image processing, we construct ed a grey image relational model to characterize the local image edge feature, by selecting the appropriate threshold to extract the edge of appropriate level. Finally, simulation experiments show that the new algorithm can effectively improve the road edge detection results, and it is an effective good method worthy further study.


Author(s):  
Mikhail Y. Shvetsov ◽  
◽  
Liubov P. Yatsevich ◽  
Yang Liwei ◽  
◽  
...  

The article is devoted to the study of individual directions and trends in the development of Russian-Chinese relations in the field of education. Topicality of the research is stipulated by necessity of organizational reforming of higher education system in the direction of perspectives of cooperation between Russia and China that presupposes study and comparative analysis of educational systems of considered countries. The article is devoted to the study of some trends and tendencies in the development of Russian-Chinese relations in the field of education. The specifics of the development of integration of educational space of Russia and China on the example of border regions: Heilongjiang Province and the Far East are considered. The method of comparative analysis was used to identify the specifics of higher education in China and the Russian Federation. Mutual benefit and mutual expediency were indicated as criteria for cooperation of both countries in the field of education. The features of higher education development in Heilongjiang Province and in the Russian Far East were described. An analysis of higher education development in the Russian Far East as assessed by Chinese experts is given. The results of a study by Chinese scholars on the preferences of Russian youth are presented. The key areas of effective joint solution to the problem of training a globally competitive professional are identified. The conclusions can be used in developing plans for cooperation between Russia and China in the sphere of higher education.


Author(s):  
Amir Manzoor

Today, open and distance-learning universities are regarded as a groundbreaking option to expand access to higher education. Economies of scale supported by a large number of enrolments have fueled the growth of open and distance learning institutions (ODLIs) across the globe. At the same time, many have raised serious concerns about the quality of education provided by ODLIs. This chapter presents a comparative case analysis of quality assurance (QA) programs in distance education at two large open and distance learning universities in Pakistan. The study explored QA policies and their implementation in the context of management practices and structures and internal and external environmental factors.


1995 ◽  
Vol 27 (8) ◽  
pp. 773-778 ◽  
Author(s):  
Rajindar K. Koshal ◽  
Manjulika Koshal

2013 ◽  
Vol 448-453 ◽  
pp. 43-47 ◽  
Author(s):  
Xin Tang ◽  
De Suo Cai ◽  
Wen Ting Yao

In order to evaluate the water quality of Longjiang river comprehensively, diatoms of 15 sampling sites are collected to establish the Grey Relational Model based on three diatom indexesIPS, IBD and IDG. From the Cluster analysis of sampling sites and the box plot of diatom index, IBD is the best, then the IPS, the diatom index weights on water quality assessment are 0.637 for IBD, 0.2583 for IPS, 0.1074 for IDG respectively. Finally, by comparing the water quality standard level based on Grey Relational Model, it can be known that the water quality of most sampling sites is fine except that site No.1 and No.3 belong to III water quality standard. The result shows that it is more comprehensive and reasonable to use the Grey Relational Model based on diatom index rather than individual diatom index to assess water quality.


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