摘要：
based on artificial psychology and affective computing, a new E- Learning assistant system is introduced, which uses the model above to get the change in emotion. The solution and software architecture of this system are also introduced. The experiment shows that this system realizes the function of emotion communication and perfect E- Learning system. In the future, based on the selected features, other effective classification method will be used. And multi-module emotion recognition including facial, audio, and other features such as gesture will be studied.
作者：
LIU Li-wei 1,2, NIE Yan3, ZHOU Yong 3 1. College of Resources and Environmental Sciences, Wuhan University, Wuhan 430072, Hubei, China;2. Faculty of Economy and Trade, Hubei University of Economics, Wuhan 430079, Hubei, China;3. College of Urban and Environmental Sciences, Huazhong Normal University, Wuhan 430079, Hubei, China
作者机构：
College of Resources and Environmental Sciences, Wuhan University, Wuhan, Hubei, China;Faculty of Economy and Trade, Hubei University of Economics, Wuhan, Hubei, China;[Nie Yan; Zhou Yong] College of Urban and Environmental Sciences, Huazhong Normal University, Wuhan, Hubei, China;[LIU Li-wei 1,2, NIE Yan3, ZHOU Yong 3 1. College of Resources and Environmental Sciences, Wuhan University, Wuhan 430072, Hubei, China] College of Resources and Environmental Sciences, Wuhan University, Wuhan, Hubei, China<&wdkj&>Faculty of Economy and Trade, Hubei University of Economics, Wuhan, Hubei, China
通讯机构：
[Zhou Yong] C;College of Urban and Environmental Sciences, Huazhong Normal University, Wuhan, Hubei, China
关键词：
niche-fitness;GIS;multi-suitability evaluation;cultivated land
摘要：
The niche-fitness and limited factors of rice, wheat, cotton and rape in Houhu Farm area of Jianghan Plain are analyzed by weighted average model and limited factor model. The niche-fitness theory and GIS are applied to the research on multi-suitability evaluation. The high values of the niche-fitness (the maximum is 0.958) indicate that the environmental conditions basically meet the requirements of crops in the area. Suitability evaluation of single crop shows that the degrees of suitability are satisfactory. Comprehensive suitability evaluation shows that the acreage for grade 1 (highly suitable for cultivation) accounts for 18.16% of the total cultivated land area, whereas the acreage for grade 3 (critically suitable) and grade 4 (unsuitable) only for 8.9%. The main factors limiting the potential land productivity are cation exchange capacity (CEC), available phosphorus content and accessibility level of road.
