Generally, the sequence decision of the development and utilization of Chinese mineral resources is based on national and provincial overall plan of the mineral resources. Such plan usually cannot reflect the relative...Generally, the sequence decision of the development and utilization of Chinese mineral resources is based on national and provincial overall plan of the mineral resources. Such plan usually cannot reflect the relative size of the suitability of the development and utilization of mineral resources. To solve the problem, the paper has selected the gift condition, the market condition, the technological condition,socio-economic condition and environmental condition as the starting-points to analyze the influential factors of the priority-sequence of mineral resources' development and utilization. The above 5 conditions are further specified into 9 evaluative indicators to establish an evaluation indicator system. At last,we propose a decision model of the priority sequence based on grey relational analysis method, and figure out the observation objects by the suitability index of development. Finally, the mineral resources of a certain province in China were analyzed as an example. The calculation results indicate that silver(2.0057), coal(1.9955), zinc(1.9442), cement limestone(1.9077), solvent limestone(1.5624) and other minerals in the province are suitable for development and utilization.展开更多
Under the modern risk-oriented audit, a reasonable evaluation of materialmisstatement risk is crucial for certified public accountants to determine the level ofmateriality and implement further substantive procedures....Under the modern risk-oriented audit, a reasonable evaluation of materialmisstatement risk is crucial for certified public accountants to determine the level ofmateriality and implement further substantive procedures. This paper proposes a materialmisstatement risk assessment model based on the combined use of entropy weight-TOPSISand grey relational analysis methods and evaluates the material misstatement risk in China'sMedical CRO Industry by quantitative means. Taking the medical CRO industry as anexample, this paper selects some case companies in the industry for horizontal comparison,and at the same time conducts a multi-year data comparison on the enterprise with the highestaudit risk among them. The results show that Bio-Sincerity Pharmaceutical is an enterprisewith relatively high audit risk in the Medical CRO Industry in recent years, and thecalculation results of the model are basically consistent with the actual analysis. Toeffectively prevent financial risks and audit risks, financial personnel should participate inbusiness management, analysis and budgeting, and auditors should also focus on auditsegments such as dynamic cash flow, debt structure, and business contracts and debtmanagement in combination with the characteristics of the Medical CRO Industry, so as toeffectively reduce the risk of audit misstatements.展开更多
Lithium-ion battery State of Health(SOH)estimation is an essential issue in battery management systems.In order to better estimate battery SOH,Extreme Learning Machine(ELM)is used to establish a model to estimate lith...Lithium-ion battery State of Health(SOH)estimation is an essential issue in battery management systems.In order to better estimate battery SOH,Extreme Learning Machine(ELM)is used to establish a model to estimate lithium-ion battery SOH.The Swarm Optimization algorithm(PSO)is used to automatically adjust and optimize the parameters of ELM to improve estimation accuracy.Firstly,collect cyclic aging data of the battery and extract five characteristic quantities related to battery capacity from the battery charging curve and increment capacity curve.Use Grey Relation Analysis(GRA)method to analyze the correlation between battery capacity and five characteristic quantities.Then,an ELM is used to build the capacity estimation model of the lithium-ion battery based on five characteristics,and a PSO is introduced to optimize the parameters of the capacity estimation model.The proposed method is validated by the degradation experiment of the lithium-ion battery under different conditions.The results show that the battery capacity estimation model based on ELM and PSO has better accuracy and stability in capacity estimation,and the average absolute percentage error is less than 1%.展开更多
基金Financial support from the key project of the National Natural Science Foundation of China(No.71273118)is gratefully acknowledged
文摘Generally, the sequence decision of the development and utilization of Chinese mineral resources is based on national and provincial overall plan of the mineral resources. Such plan usually cannot reflect the relative size of the suitability of the development and utilization of mineral resources. To solve the problem, the paper has selected the gift condition, the market condition, the technological condition,socio-economic condition and environmental condition as the starting-points to analyze the influential factors of the priority-sequence of mineral resources' development and utilization. The above 5 conditions are further specified into 9 evaluative indicators to establish an evaluation indicator system. At last,we propose a decision model of the priority sequence based on grey relational analysis method, and figure out the observation objects by the suitability index of development. Finally, the mineral resources of a certain province in China were analyzed as an example. The calculation results indicate that silver(2.0057), coal(1.9955), zinc(1.9442), cement limestone(1.9077), solvent limestone(1.5624) and other minerals in the province are suitable for development and utilization.
文摘Under the modern risk-oriented audit, a reasonable evaluation of materialmisstatement risk is crucial for certified public accountants to determine the level ofmateriality and implement further substantive procedures. This paper proposes a materialmisstatement risk assessment model based on the combined use of entropy weight-TOPSISand grey relational analysis methods and evaluates the material misstatement risk in China'sMedical CRO Industry by quantitative means. Taking the medical CRO industry as anexample, this paper selects some case companies in the industry for horizontal comparison,and at the same time conducts a multi-year data comparison on the enterprise with the highestaudit risk among them. The results show that Bio-Sincerity Pharmaceutical is an enterprisewith relatively high audit risk in the Medical CRO Industry in recent years, and thecalculation results of the model are basically consistent with the actual analysis. Toeffectively prevent financial risks and audit risks, financial personnel should participate inbusiness management, analysis and budgeting, and auditors should also focus on auditsegments such as dynamic cash flow, debt structure, and business contracts and debtmanagement in combination with the characteristics of the Medical CRO Industry, so as toeffectively reduce the risk of audit misstatements.
基金This work was supported by the State Grid Corporation Headquarters Management Technology Project(SGTYHT/19-JS-215)Southwest Jiaotong University new interdisciplinary cultivation project by(YH1500112432273).
文摘Lithium-ion battery State of Health(SOH)estimation is an essential issue in battery management systems.In order to better estimate battery SOH,Extreme Learning Machine(ELM)is used to establish a model to estimate lithium-ion battery SOH.The Swarm Optimization algorithm(PSO)is used to automatically adjust and optimize the parameters of ELM to improve estimation accuracy.Firstly,collect cyclic aging data of the battery and extract five characteristic quantities related to battery capacity from the battery charging curve and increment capacity curve.Use Grey Relation Analysis(GRA)method to analyze the correlation between battery capacity and five characteristic quantities.Then,an ELM is used to build the capacity estimation model of the lithium-ion battery based on five characteristics,and a PSO is introduced to optimize the parameters of the capacity estimation model.The proposed method is validated by the degradation experiment of the lithium-ion battery under different conditions.The results show that the battery capacity estimation model based on ELM and PSO has better accuracy and stability in capacity estimation,and the average absolute percentage error is less than 1%.
