To improve the detection and identification performance of the Statistical Quality Monitoring （SQM） system, a novel quality based Prioritized Sensor-Fault Detection （PSFD） methodology is proposed. Weighted by the ...To improve the detection and identification performance of the Statistical Quality Monitoring （SQM） system, a novel quality based Prioritized Sensor-Fault Detection （PSFD） methodology is proposed. Weighted by the Vp （variable importance in projection） index, which indicates the importance of the sensor variables to the quality variables, the new monitoring statistic, Qv, is developed toensure that the most vital sensor faults be detected successfully. Subsequently, the ratio between the Detectable Minimum Faulty Magnitude （DMFM） of the most important sensor and of the least important sensor is only gpmin/gpmax 〈〈 1. The Structured Residuals are designed according to the Vp index to identify and then isolate them. The theoretical findings are fully supported by simulation studies performed on the Tennessee Eastman process.展开更多
Three coal samples of different ranks were used to study the effect of coal blending on the preparation of Coal Water Slurry (CWS). The results show that by taking advantage of two kinds of coal, the coal concentratio...Three coal samples of different ranks were used to study the effect of coal blending on the preparation of Coal Water Slurry (CWS). The results show that by taking advantage of two kinds of coal, the coal concentration in slurry made from hard-to-pulp coal can be effectively improved and increased by 3%–5% generally. DLT coal (DaLiuTa coal mine) is very poor in slurryability and the stability and rheology of the resulting slurry are not very good. When the amount of easily slurried coal is more than 30%, all properties of the CWS improve and the CWS meets the requirements for use as fuel. Coalification, porosity, surface oxygenic functional groups, zeta potential and grindability have a great effect on the performance of blended coal CWS. This leads to some differences in performance between the slurry made from a single coal and slurry made from blended coal.展开更多
In the supervised classification process of remotely sensed imagery, the quantity of samples is one of the important factors affecting the accuracy of the image classification as well as the keys used to evaluate the ...In the supervised classification process of remotely sensed imagery, the quantity of samples is one of the important factors affecting the accuracy of the image classification as well as the keys used to evaluate the image classification. In general, the samples are acquired on the basis of prior knowledge, experience and higher resolution images. With the same size of samples and the same sampling model, several sets of training sample data can be obtained. In such sets, which set reflects perfect spectral characteristics and ensure the accuracy of the classification can be known only after the accuracy of the classification has been assessed. So, before classification, it would be a meaningful research to measure and assess the quality of samples for guiding and optimizing the consequent classification process. Then, based on the rough set, a new measuring index for the sample quality is proposed. The experiment data is the Landsat TM imagery of the Chinese Yellow River Delta on August 8th, 1999. The experiment compares the Bhattacharrya distance matrices and purity index zl and △x based on rough set theory of 5 sample data and also analyzes its effect on sample quality.展开更多
Industrial upgrading and transformation is important for China to transform its way of development. To accomplish this task effectively, we need to identify industries with potential comparative advantage. Using the l...Industrial upgrading and transformation is important for China to transform its way of development. To accomplish this task effectively, we need to identify industries with potential comparative advantage. Using the latest data on international trade of products, this paper verifies the premise of heterogeneity of product space of the evolutionary theory of comparative advantage, and analyses the evolution of product space of China and most countries in the world. The paper makes predictions on China ＂s industries with potential comparative advantage in near terms using the product space theory, and carries out thorough discussion on the evolutionary track of industries under different proximity thresholds. The basic conclusion is that even as China＇s number of industries with comparative advantage is larger than the global average, its industrial upgrading capacity is limited, as it has fewer industries with potential comparative advantage and lower sustainability in the current sectors than the world average. China faces a dilemma in the process of industrial upgrading, as a rapid upgrading would cause a shock to current economic growth, and a slow one would not maintain sustainable growth. With limited industrial upgrading capacity, the best structure adjustment and upgrading strategy is to give full play to the advantage of China＇s industrial diversification and combination to achieve an inclusive upgrading.展开更多
基金Supported by the National Natural Science Foundation of China （20776128） and the Natural Science Foundation of Zhejiang Province （Y 107032）.
文摘To improve the detection and identification performance of the Statistical Quality Monitoring （SQM） system, a novel quality based Prioritized Sensor-Fault Detection （PSFD） methodology is proposed. Weighted by the Vp （variable importance in projection） index, which indicates the importance of the sensor variables to the quality variables, the new monitoring statistic, Qv, is developed toensure that the most vital sensor faults be detected successfully. Subsequently, the ratio between the Detectable Minimum Faulty Magnitude （DMFM） of the most important sensor and of the least important sensor is only gpmin/gpmax 〈〈 1. The Structured Residuals are designed according to the Vp index to identify and then isolate them. The theoretical findings are fully supported by simulation studies performed on the Tennessee Eastman process.
基金Projects 20060290506 supported by the Doctoral Foundation of the Chinese Education Ministry2005B013 by the Science and TechnologyFoundation of China University of Mining & Technology
文摘Three coal samples of different ranks were used to study the effect of coal blending on the preparation of Coal Water Slurry (CWS). The results show that by taking advantage of two kinds of coal, the coal concentration in slurry made from hard-to-pulp coal can be effectively improved and increased by 3%–5% generally. DLT coal (DaLiuTa coal mine) is very poor in slurryability and the stability and rheology of the resulting slurry are not very good. When the amount of easily slurried coal is more than 30%, all properties of the CWS improve and the CWS meets the requirements for use as fuel. Coalification, porosity, surface oxygenic functional groups, zeta potential and grindability have a great effect on the performance of blended coal CWS. This leads to some differences in performance between the slurry made from a single coal and slurry made from blended coal.
基金Supported in part by the National Natural Science Foundation of China （No.40671136）, Open Research Fund from State Key Laboratory of Remote Sensing Science （No.LRSS0610） and the National 863 Program of China （No. 2006AA12Z215）.
文摘In the supervised classification process of remotely sensed imagery, the quantity of samples is one of the important factors affecting the accuracy of the image classification as well as the keys used to evaluate the image classification. In general, the samples are acquired on the basis of prior knowledge, experience and higher resolution images. With the same size of samples and the same sampling model, several sets of training sample data can be obtained. In such sets, which set reflects perfect spectral characteristics and ensure the accuracy of the classification can be known only after the accuracy of the classification has been assessed. So, before classification, it would be a meaningful research to measure and assess the quality of samples for guiding and optimizing the consequent classification process. Then, based on the rough set, a new measuring index for the sample quality is proposed. The experiment data is the Landsat TM imagery of the Chinese Yellow River Delta on August 8th, 1999. The experiment compares the Bhattacharrya distance matrices and purity index zl and △x based on rough set theory of 5 sample data and also analyzes its effect on sample quality.
基金Studies on Monitoring and Risk Assessment of Industrial and Economic Operation, Innovation Project of the Chinese Academy of Social Sciences, Transformation Strategy of Industrial Competitive Advantage and Evolution of Global Division of Labor, Major Fund Program of National Natural Science Foundation of China （Grant No. 098-ZD035）.
文摘Industrial upgrading and transformation is important for China to transform its way of development. To accomplish this task effectively, we need to identify industries with potential comparative advantage. Using the latest data on international trade of products, this paper verifies the premise of heterogeneity of product space of the evolutionary theory of comparative advantage, and analyses the evolution of product space of China and most countries in the world. The paper makes predictions on China ＂s industries with potential comparative advantage in near terms using the product space theory, and carries out thorough discussion on the evolutionary track of industries under different proximity thresholds. The basic conclusion is that even as China＇s number of industries with comparative advantage is larger than the global average, its industrial upgrading capacity is limited, as it has fewer industries with potential comparative advantage and lower sustainability in the current sectors than the world average. China faces a dilemma in the process of industrial upgrading, as a rapid upgrading would cause a shock to current economic growth, and a slow one would not maintain sustainable growth. With limited industrial upgrading capacity, the best structure adjustment and upgrading strategy is to give full play to the advantage of China＇s industrial diversification and combination to achieve an inclusive upgrading.
