In this paper, the major objective is to build a global dynamic network model to assess the global health condition .First use the PSR model and Analytic hierarchy process （AHP） to calculate the internal health stat...In this paper, the major objective is to build a global dynamic network model to assess the global health condition .First use the PSR model and Analytic hierarchy process （AHP） to calculate the internal health status of some regions, and then establish a global network model which links each region together to figure out the global health status. Finally, taking the human influence into consideration, the degree of the earth＇s health can be figured out in a more accurate way.展开更多
The surface texture of mineral flotation froth is well acknowledged as an important index of the flotation process.The surface texture feature closely relates to the flotation working conditions and hence can be used ...The surface texture of mineral flotation froth is well acknowledged as an important index of the flotation process.The surface texture feature closely relates to the flotation working conditions and hence can be used as a visual indicator for the zinc fast roughing working condition. A novel working condition identification method based on the dual-tree complex wavelet transform(DTCWT) is proposed for process monitoring of zinc fast roughing.Three-level DTCWT is implemented to decompose the froth image into different directions and resolutions in advance, and then the energy parameter of each sub-image is extracted as the froth texture feature. Then, an improved random forest integrated classification(i RFIC) with 10-fold cross-validation model is introduced as the classifier to identify the roughing working condition, which effectively improves the shortcomings of the single model and overcomes the characteristic redundancy but achieves higher generalization performance. Extensive experiments have verified the effectiveness of the proposed method.展开更多
文摘In this paper, the major objective is to build a global dynamic network model to assess the global health condition .First use the PSR model and Analytic hierarchy process （AHP） to calculate the internal health status of some regions, and then establish a global network model which links each region together to figure out the global health status. Finally, taking the human influence into consideration, the degree of the earth＇s health can be figured out in a more accurate way.
文摘The surface texture of mineral flotation froth is well acknowledged as an important index of the flotation process.The surface texture feature closely relates to the flotation working conditions and hence can be used as a visual indicator for the zinc fast roughing working condition. A novel working condition identification method based on the dual-tree complex wavelet transform(DTCWT) is proposed for process monitoring of zinc fast roughing.Three-level DTCWT is implemented to decompose the froth image into different directions and resolutions in advance, and then the energy parameter of each sub-image is extracted as the froth texture feature. Then, an improved random forest integrated classification(i RFIC) with 10-fold cross-validation model is introduced as the classifier to identify the roughing working condition, which effectively improves the shortcomings of the single model and overcomes the characteristic redundancy but achieves higher generalization performance. Extensive experiments have verified the effectiveness of the proposed method.
