The mosaic structure of landscape of the central area of Shanghai Metropolis is studied by quantitative methods of landscape ecology based on Remote Sensing (RS) and Geographic Information System (GIS) in this paper. ...The mosaic structure of landscape of the central area of Shanghai Metropolis is studied by quantitative methods of landscape ecology based on Remote Sensing (RS) and Geographic Information System (GIS) in this paper. Firstly, landscapes are classified into eight categories: residential quarter, industrial quarter, road, other urban landscape, farmland, village and small town, on-building area, river and other water bodies (such as lake, etc.). Secondly, a GIS is designed and set up based on the remote sensing data and field investigation, and a digital map of landscape mosaic is made. Then the indexes of diversity, dominance, fragmentation and isolation, and fractal dimension of each type of landscape in different periods are calculated by using spatial analysis method of GIS. With reference to the calculated results, a series of relative issues are discussed.展开更多
Based on the knowledge representation and knowledge reasoning, this paper addresses the creation of the multi-attribute knowledge base on the basis of hybrid knowledge representation, with the help of object-oriented ...Based on the knowledge representation and knowledge reasoning, this paper addresses the creation of the multi-attribute knowledge base on the basis of hybrid knowledge representation, with the help of object-oriented programming language and relational database. Compared with general knowledge base, multi-attribute knowledge base can enhance the ability of knowledge processing and application; integrate the heterogeneous knowledge, such as model, symbol, case-based sample knowledge; and support the whole decision process by integrated reasoning.展开更多
As China's energy intensity fluctuated in recent years, it is necessary to examine whether this fluctuation happened at a regional level. This paper establishes a decomposition model by using the structural decomp...As China's energy intensity fluctuated in recent years, it is necessary to examine whether this fluctuation happened at a regional level. This paper establishes a decomposition model by using the structural decomposition analysis (SDA) method at a regional level. Then this model is employed to empirically analyze the changes of Beijing's energy intensity. The conclusions are as follows: during 2002-2010, except petroleum, the energy intensity decreased and the changes were mostly attributed to the technology changes, while the final use variation actually increased the energy intensity; comparing different periods of 2002-2010, the decline rates of energy intensity for coal and hydropower were decreasing, resulting from the production technology being more energy-intensive than before; the energy intensity changes of petroleum firstly increased substantially and then decreased moderately.展开更多
A new method for optimizing a butterfly-shaped linear ultrasonic motor was proposed to maximize its mechanical output. The finite element analysis technology and response surface methodology were combined together to ...A new method for optimizing a butterfly-shaped linear ultrasonic motor was proposed to maximize its mechanical output. The finite element analysis technology and response surface methodology were combined together to realize the optimal design of the butterfly-shaped linear ultrasonic motor. First, the operation principle of the motor was introduced. Second, the finite element parameterized model of the stator of the motor was built using ANSYS parametric design language and some structure parameters of the stator were selected as design variables. Third, the sample points were selected in design variable space using latin hypercube Design. Through modal analysis and harmonic response analysis of the stator based on these sample points, the target responses were obtained. These sample points and response values were combined together to build a response surface model. Finally, the simplex method was used to find the optimal solution. The experimental results showed that many aspects of the design requirements of the butterfly-shaped linear ultrasonic motor have been fulfilled. The prototype motor fabricated based on the optimal design result exhibited considerably high dynamic performance, such as no-load speed of 873 ram/s, maximal thrust of 27.5 N, maximal efficiency of 43%, and thrust-weight ratio of 45.8.展开更多
Surplus production models are the simplest analytical methods effective for fish stock assessment and fisheries management. In this paper, eight surplus production estimators(three estimation procedures) were tested o...Surplus production models are the simplest analytical methods effective for fish stock assessment and fisheries management. In this paper, eight surplus production estimators(three estimation procedures) were tested on Schaefer and Fox type simulated data in three simulated fisheries(declining, well-managed, and restoring fisheries) at two white noise levels. Monte Carlo simulation was conducted to verify the utility of moving averaging(MA), which was an important technique for reducing the effect of noise in data in these models. The relative estimation error(REE) of maximum sustainable yield(MSY) was used as an indicator for the analysis, and one-way ANOVA was applied to test the significance of the REE calculated at four levels of MA. Simulation results suggested that increasing the value of MA could significantly improve the performance of the surplus production model(low REE) in all cases when the white noise level was low(coefficient of variation(CV) = 0.02). However, when the white noise level increased(CV= 0.25), adding the value of MA could still significantly enhance the performance of most models. Our results indicated that the best model performance occurred frequently when MA was equal to 3; however, some exceptions were observed when MA was higher.展开更多
This paper introduces the background of cloud computing, takes analysis of key technology, analysis of cloud computing and traditional competitive intelligence information model for comparative study, for the security...This paper introduces the background of cloud computing, takes analysis of key technology, analysis of cloud computing and traditional competitive intelligence information model for comparative study, for the security of cloud computing, function and service of the following aspects to elaborate, to explore the influence of cloud computing on the information.展开更多
An on-board computer system should have such advantages as light weight,small volume and low power to meet the demand of micro-satellites. This paper, based on specific characteristics of Stereo Mapping Micro-Satellit...An on-board computer system should have such advantages as light weight,small volume and low power to meet the demand of micro-satellites. This paper, based on specific characteristics of Stereo Mapping Micro-Satellite (SMMS), describes the on-board computer system with its advantage of having centralized and distributed control in the same system and analyzes its reliability based on a Markov model in order to provide a theoretical foundation for a reliable design. The on-board computer system has been put into use in principle prototype model of Stereo Mapping Micro-Satellite and has already been debugged. All indexes meet the requirements of the design.展开更多
Seven schemes for the developing extension, four schemes for the mining of the whole field and five schemes for the parameter are put forward in this paper to rational choice of technical reform schemes of Mine No.1. ...Seven schemes for the developing extension, four schemes for the mining of the whole field and five schemes for the parameter are put forward in this paper to rational choice of technical reform schemes of Mine No.1. Pingdingshan Mining Bureau.On the basis of conventional technical analysis, an optimum economy-mathmetical model of the developing preparatory schemes is worked out and a synthetic optimum is carried out.展开更多
The objective of this study was to determine the influence of production and consumption characteristics of improved sorghum varieties on farmers＇ adoption decisions. Thirty-four farmers and 231 consumers evaluated f...The objective of this study was to determine the influence of production and consumption characteristics of improved sorghum varieties on farmers＇ adoption decisions. Thirty-four farmers and 231 consumers evaluated five sorghum varieties to determine their preferences. The perceptions of the farmers and consumers were summarized and presented to 100 sorghum farmers to help them choose the best varieties, based on results obtained earlier. Ordered probit models were used to predict their adoption decisions. Results indicated that when adoption is predicted on production characteristics alone the adoption rate was lower than when prediction incorporated both production and consumption characteristics of the sorghum varieties. Therefore, when disseminating new technologies farmers need to be informed about the production as well as the consumption characteristics of the new technologies. The outcomes of this study imply that involving producers and consumers in the generation of new agricultural technologies would potentially increase their adoption rates when they are disseminated. Thus a subsector analytical approach is recommended.展开更多
The main goal of this research is to enhance the auditor＇s judgment ability in going concern opinion by applying bankruptcy prediction models as an analytical procedure. Data for this research have been collected thr...The main goal of this research is to enhance the auditor＇s judgment ability in going concern opinion by applying bankruptcy prediction models as an analytical procedure. Data for this research have been collected through questionnaires. The statistical population consists of auditors who are members of Iranian Association of Certified Public Accountants （IACPA）. The research results reflect that： （1） Auditors do not use statistical techniques for assessing going concern as an analytical procedure; （2） Auditors do not use these techniques as a tool to decrease the bias of judgments in assessing the going concern assumption; （3） Auditors do not use statistical techniques to assess audit risk in the planning stage; （4） Auditors do not use statistical techniques to assess audit risk in the final stage. Furthermore this research shows that auditors believe that the ＂standard concerning usage of analytical procedures needs more clarification＂ and ＂statistical bankruptcy predication models can help auditors in the planning stage＂. The other goal of this research is to show different auditor＇s judgments in assessing the going concern opinion with and without applying the bankruptcy prediction models as an analytical procedure. The result shows that the judgment of auditors toward the going concern assumption has improved by using statistical bankruptcy predication models.展开更多
文摘The mosaic structure of landscape of the central area of Shanghai Metropolis is studied by quantitative methods of landscape ecology based on Remote Sensing (RS) and Geographic Information System (GIS) in this paper. Firstly, landscapes are classified into eight categories: residential quarter, industrial quarter, road, other urban landscape, farmland, village and small town, on-building area, river and other water bodies (such as lake, etc.). Secondly, a GIS is designed and set up based on the remote sensing data and field investigation, and a digital map of landscape mosaic is made. Then the indexes of diversity, dominance, fragmentation and isolation, and fractal dimension of each type of landscape in different periods are calculated by using spatial analysis method of GIS. With reference to the calculated results, a series of relative issues are discussed.
基金Supported by National Natural Science Foundation of China(No.70271002)
文摘Based on the knowledge representation and knowledge reasoning, this paper addresses the creation of the multi-attribute knowledge base on the basis of hybrid knowledge representation, with the help of object-oriented programming language and relational database. Compared with general knowledge base, multi-attribute knowledge base can enhance the ability of knowledge processing and application; integrate the heterogeneous knowledge, such as model, symbol, case-based sample knowledge; and support the whole decision process by integrated reasoning.
基金Supported by Strategic Priority Research Program of the Chinese Academy of Sciences (No. XDA05150600)National Natural Science Foundation of China (No. 71273027 and No. 70903066)Beijing Planning Office of Philosophy and Social Science (No. 11JGC105)
文摘As China's energy intensity fluctuated in recent years, it is necessary to examine whether this fluctuation happened at a regional level. This paper establishes a decomposition model by using the structural decomposition analysis (SDA) method at a regional level. Then this model is employed to empirically analyze the changes of Beijing's energy intensity. The conclusions are as follows: during 2002-2010, except petroleum, the energy intensity decreased and the changes were mostly attributed to the technology changes, while the final use variation actually increased the energy intensity; comparing different periods of 2002-2010, the decline rates of energy intensity for coal and hydropower were decreasing, resulting from the production technology being more energy-intensive than before; the energy intensity changes of petroleum firstly increased substantially and then decreased moderately.
基金Projects(51275235, 50975135) supported by the National Natural Science Foundation of ChinaProject(U0934004) supported by the Natural Science Foundation of Guangdong Province, ChinaProject(2011CB707602) supported by the National Basic Research Program of China
文摘A new method for optimizing a butterfly-shaped linear ultrasonic motor was proposed to maximize its mechanical output. The finite element analysis technology and response surface methodology were combined together to realize the optimal design of the butterfly-shaped linear ultrasonic motor. First, the operation principle of the motor was introduced. Second, the finite element parameterized model of the stator of the motor was built using ANSYS parametric design language and some structure parameters of the stator were selected as design variables. Third, the sample points were selected in design variable space using latin hypercube Design. Through modal analysis and harmonic response analysis of the stator based on these sample points, the target responses were obtained. These sample points and response values were combined together to build a response surface model. Finally, the simplex method was used to find the optimal solution. The experimental results showed that many aspects of the design requirements of the butterfly-shaped linear ultrasonic motor have been fulfilled. The prototype motor fabricated based on the optimal design result exhibited considerably high dynamic performance, such as no-load speed of 873 ram/s, maximal thrust of 27.5 N, maximal efficiency of 43%, and thrust-weight ratio of 45.8.
基金supported by the special research fund of Ocean University of China (201022001)
文摘Surplus production models are the simplest analytical methods effective for fish stock assessment and fisheries management. In this paper, eight surplus production estimators(three estimation procedures) were tested on Schaefer and Fox type simulated data in three simulated fisheries(declining, well-managed, and restoring fisheries) at two white noise levels. Monte Carlo simulation was conducted to verify the utility of moving averaging(MA), which was an important technique for reducing the effect of noise in data in these models. The relative estimation error(REE) of maximum sustainable yield(MSY) was used as an indicator for the analysis, and one-way ANOVA was applied to test the significance of the REE calculated at four levels of MA. Simulation results suggested that increasing the value of MA could significantly improve the performance of the surplus production model(low REE) in all cases when the white noise level was low(coefficient of variation(CV) = 0.02). However, when the white noise level increased(CV= 0.25), adding the value of MA could still significantly enhance the performance of most models. Our results indicated that the best model performance occurred frequently when MA was equal to 3; however, some exceptions were observed when MA was higher.
文摘This paper introduces the background of cloud computing, takes analysis of key technology, analysis of cloud computing and traditional competitive intelligence information model for comparative study, for the security of cloud computing, function and service of the following aspects to elaborate, to explore the influence of cloud computing on the information.
文摘An on-board computer system should have such advantages as light weight,small volume and low power to meet the demand of micro-satellites. This paper, based on specific characteristics of Stereo Mapping Micro-Satellite (SMMS), describes the on-board computer system with its advantage of having centralized and distributed control in the same system and analyzes its reliability based on a Markov model in order to provide a theoretical foundation for a reliable design. The on-board computer system has been put into use in principle prototype model of Stereo Mapping Micro-Satellite and has already been debugged. All indexes meet the requirements of the design.
文摘Seven schemes for the developing extension, four schemes for the mining of the whole field and five schemes for the parameter are put forward in this paper to rational choice of technical reform schemes of Mine No.1. Pingdingshan Mining Bureau.On the basis of conventional technical analysis, an optimum economy-mathmetical model of the developing preparatory schemes is worked out and a synthetic optimum is carried out.
文摘The objective of this study was to determine the influence of production and consumption characteristics of improved sorghum varieties on farmers＇ adoption decisions. Thirty-four farmers and 231 consumers evaluated five sorghum varieties to determine their preferences. The perceptions of the farmers and consumers were summarized and presented to 100 sorghum farmers to help them choose the best varieties, based on results obtained earlier. Ordered probit models were used to predict their adoption decisions. Results indicated that when adoption is predicted on production characteristics alone the adoption rate was lower than when prediction incorporated both production and consumption characteristics of the sorghum varieties. Therefore, when disseminating new technologies farmers need to be informed about the production as well as the consumption characteristics of the new technologies. The outcomes of this study imply that involving producers and consumers in the generation of new agricultural technologies would potentially increase their adoption rates when they are disseminated. Thus a subsector analytical approach is recommended.
文摘The main goal of this research is to enhance the auditor＇s judgment ability in going concern opinion by applying bankruptcy prediction models as an analytical procedure. Data for this research have been collected through questionnaires. The statistical population consists of auditors who are members of Iranian Association of Certified Public Accountants （IACPA）. The research results reflect that： （1） Auditors do not use statistical techniques for assessing going concern as an analytical procedure; （2） Auditors do not use these techniques as a tool to decrease the bias of judgments in assessing the going concern assumption; （3） Auditors do not use statistical techniques to assess audit risk in the planning stage; （4） Auditors do not use statistical techniques to assess audit risk in the final stage. Furthermore this research shows that auditors believe that the ＂standard concerning usage of analytical procedures needs more clarification＂ and ＂statistical bankruptcy predication models can help auditors in the planning stage＂. The other goal of this research is to show different auditor＇s judgments in assessing the going concern opinion with and without applying the bankruptcy prediction models as an analytical procedure. The result shows that the judgment of auditors toward the going concern assumption has improved by using statistical bankruptcy predication models.
