Tight space and interactive resources grant tourism community residents a vital body status in community tourism development and construction process. Residents＇ all-sided and effective participation in Tourism devel...Tight space and interactive resources grant tourism community residents a vital body status in community tourism development and construction process. Residents＇ all-sided and effective participation in Tourism development process, with no doubt, is an open democratization process and an effective way to ensure sustainable development of tourism as it can raise residents＇ income and eliminate bad influence of tourism. ＂Impression-Liu Sanjie＂ is a scenic spot where ＂landscape live-action＂ is performed. Local residents （farmers） serve as the main part. Through survey and analysis of participation and perception of community residents, this paper aims at finding some useful consult and inspirations for the development, management and policy formulation of other rural scenic region alike.展开更多
Conventional principal component analysis(PCA) can obtain low-dimensional representations of original data space, but the selection of principal components(PCs) based on variance is subjective, which may lead to infor...Conventional principal component analysis(PCA) can obtain low-dimensional representations of original data space, but the selection of principal components(PCs) based on variance is subjective, which may lead to information loss and poor monitoring performance. To address dimension reduction and information preservation simultaneously, this paper proposes a novel PC selection scheme named full variable expression. On the basis of the proposed relevance of variables with each principal component, key principal components can be determined.All the key principal components serve as a low-dimensional representation of the entire original variables, preserving the information of original data space without information loss. A squared Mahalanobis distance, which is introduced as the monitoring statistic, is calculated directly in the key principal component space for fault detection. To test the modeling and monitoring performance of the proposed method, a numerical example and the Tennessee Eastman benchmark are used.展开更多
The classification accuracy of the various categories on the classified remotely sensed images are usually evaluated by two different measures of accuracy, namely, producer＇s accuracy （PA） and user＇s accuracy （UA...The classification accuracy of the various categories on the classified remotely sensed images are usually evaluated by two different measures of accuracy, namely, producer＇s accuracy （PA） and user＇s accuracy （UA）. The PA of a category indicates to what extent the reference pixels of the category are correctly classified, whereas the UA of a category represents to what extent the other categories are less misclassified into the category in question. Therefore, the UA of the various categories determines the reliability of their interpretation on the classified image and is more important to the analyst than the PA. The present investigation has been performed in order to determine if there occurs improvement in the UA of the various categories on the classified image of the principal components of the original bands and on the classified image of the stacked image of two different years. We performed the analyses using the IRS LISS Ⅲ images of two different years, i.e., 1996 and 2009, that represent the different magnitude of urbanization and the stacked image of these two years pertaining to Ranchi area, Jharkhand, India, with a view to assessing the impacts of urbanization on the UA of the different categories. The results of the investigation demonstrated that there occurs significant improvement in the UA of the impervious categories in the classified image of the stacked image, which is attributable to the aggregation of the spectral information from twice the number of bands from two different years. On the other hand, the classified image of the principal components did not show any improvement in the UA as compared to the original images.展开更多
In this article, the author tries to analyze the incongruity between ethnicity and its theorization in China and explore the tension between the mainstream discourse of homogenization-cure-nationalism and the minority...In this article, the author tries to analyze the incongruity between ethnicity and its theorization in China and explore the tension between the mainstream discourse of homogenization-cure-nationalism and the minority linguisticcultural ＂heteroglossia, ＂ as is typified by the conceptual and practical difficulty in translating Minzu[ I ] as well as the political revival and pragmatic use of traditional culture. Drawing on Walker Connor＇s study of the national question in Marxist-Leninist theory and strategy, the author argues that the old formula of ＂national in form, socialist in content,＂ as has been applied in China, lacks a Thirdness-based ＂indexical embodiment＂ dimension, a defect that creates a situation ＂national in form, ethnic in content,＂ and leads to political ambiguities and identity conflicts.展开更多
文摘Tight space and interactive resources grant tourism community residents a vital body status in community tourism development and construction process. Residents＇ all-sided and effective participation in Tourism development process, with no doubt, is an open democratization process and an effective way to ensure sustainable development of tourism as it can raise residents＇ income and eliminate bad influence of tourism. ＂Impression-Liu Sanjie＂ is a scenic spot where ＂landscape live-action＂ is performed. Local residents （farmers） serve as the main part. Through survey and analysis of participation and perception of community residents, this paper aims at finding some useful consult and inspirations for the development, management and policy formulation of other rural scenic region alike.
基金Supported by the National Natural Science Foundation of China(No.61374140)Shanghai Pujiang Program(Project No.12PJ1402200)
文摘Conventional principal component analysis(PCA) can obtain low-dimensional representations of original data space, but the selection of principal components(PCs) based on variance is subjective, which may lead to information loss and poor monitoring performance. To address dimension reduction and information preservation simultaneously, this paper proposes a novel PC selection scheme named full variable expression. On the basis of the proposed relevance of variables with each principal component, key principal components can be determined.All the key principal components serve as a low-dimensional representation of the entire original variables, preserving the information of original data space without information loss. A squared Mahalanobis distance, which is introduced as the monitoring statistic, is calculated directly in the key principal component space for fault detection. To test the modeling and monitoring performance of the proposed method, a numerical example and the Tennessee Eastman benchmark are used.
文摘The classification accuracy of the various categories on the classified remotely sensed images are usually evaluated by two different measures of accuracy, namely, producer＇s accuracy （PA） and user＇s accuracy （UA）. The PA of a category indicates to what extent the reference pixels of the category are correctly classified, whereas the UA of a category represents to what extent the other categories are less misclassified into the category in question. Therefore, the UA of the various categories determines the reliability of their interpretation on the classified image and is more important to the analyst than the PA. The present investigation has been performed in order to determine if there occurs improvement in the UA of the various categories on the classified image of the principal components of the original bands and on the classified image of the stacked image of two different years. We performed the analyses using the IRS LISS Ⅲ images of two different years, i.e., 1996 and 2009, that represent the different magnitude of urbanization and the stacked image of these two years pertaining to Ranchi area, Jharkhand, India, with a view to assessing the impacts of urbanization on the UA of the different categories. The results of the investigation demonstrated that there occurs significant improvement in the UA of the impervious categories in the classified image of the stacked image, which is attributable to the aggregation of the spectral information from twice the number of bands from two different years. On the other hand, the classified image of the principal components did not show any improvement in the UA as compared to the original images.
文摘In this article, the author tries to analyze the incongruity between ethnicity and its theorization in China and explore the tension between the mainstream discourse of homogenization-cure-nationalism and the minority linguisticcultural ＂heteroglossia, ＂ as is typified by the conceptual and practical difficulty in translating Minzu[ I ] as well as the political revival and pragmatic use of traditional culture. Drawing on Walker Connor＇s study of the national question in Marxist-Leninist theory and strategy, the author argues that the old formula of ＂national in form, socialist in content,＂ as has been applied in China, lacks a Thirdness-based ＂indexical embodiment＂ dimension, a defect that creates a situation ＂national in form, ethnic in content,＂ and leads to political ambiguities and identity conflicts.
