In this research, the main purpose is to estimate the variation of PM2.5 mass concentration and study the influence of meteorological characteristics on major components of PM2.5 concentrations in urban Tokyo, Japan. ...In this research, the main purpose is to estimate the variation of PM2.5 mass concentration and study the influence of meteorological characteristics on major components of PM2.5 concentrations in urban Tokyo, Japan. The results shown that the annual mean mass concentration of PM2.5 in urban Tokyo was higher than JEQS （Japanese Environmental Quality Standard） of the MOEJ （Ministry of the Environment Japan） （15 μg/m^3）, and 41.1% of the daily PM2.5 mass concentration exceeded the annual JEQS concentration during observation period. The major components of PM2.5 including SO4^2-, NO3^-, NH4^＋, OC and EC were tightly related to the meteorological conditions, the correlations results shown that the wind speed and relative humidity had significant correlations with major components of PM2.5 than the other meteorological factors. Higher relative humidity, windless and less rainfall conditions were favorable for elimination of PM2.5 concentration. Higher temperature was beneficial to the formation of SO42＂, but higher temperature and stronger sunshine duration were not conducive to the formation of NO3^-.展开更多
Growing concerns about environmental quality of cities are calling for sustainable road transportation technologies. EV （electric vehicles）, for public and private transport, can contribute significantly to the lowe...Growing concerns about environmental quality of cities are calling for sustainable road transportation technologies. EV （electric vehicles）, for public and private transport, can contribute significantly to the lowering of the current pollution levels. However, the EV use is currently facing several weaknesses among which are： limited driving range, high cost and overall limited efficiency. Electric vehicles management is a relatively recent problem; its purpose is to expedite the establishment of a costumer convenient, cost-effective, EV infrastructure. Inspire the relevance of the problem, a few small research communities in this field work on some of its aspects. In this work, some important issues of this problem are discussed and the contribution of combinatorial optimization tools for solving some challenging subproblems is studied.展开更多
A decision-making model of gear process for green manufacturing is presented, which integrates the five objectives including the time, quality, cost, resource consumption and environmental impact of gear process toget...A decision-making model of gear process for green manufacturing is presented, which integrates the five objectives including the time, quality, cost, resource consumption and environmental impact of gear process together into the development of a strategy. Mathematical description is provided for the multi-objectives decision-making model. The expert judgment and the multi-fuzzy assessment theory are introduced to do sensible comparisons and give quantitative results. A case study on practical cutting tool selection in gear machining demonstrates that the proposed model is applicable.展开更多
To provide a realistic simulation environment for users,intelligent models have become key components in military simulations. After the analysis of modeling nature of intelligent models,the validation criteria for de...To provide a realistic simulation environment for users,intelligent models have become key components in military simulations. After the analysis of modeling nature of intelligent models,the validation criteria for defining the validation points and validation metrics for measuring the agreements between human experts and intelligent models were presented. Further,such methods as graphical comparison,feature analysis and face validation were discussed according to the characteristics of intelligent models. Based on the validation criteria,validation metrics and validation methods,the intelligent models can be effectively validated,which has been proved in current developed intelligent models.展开更多
文摘In this research, the main purpose is to estimate the variation of PM2.5 mass concentration and study the influence of meteorological characteristics on major components of PM2.5 concentrations in urban Tokyo, Japan. The results shown that the annual mean mass concentration of PM2.5 in urban Tokyo was higher than JEQS （Japanese Environmental Quality Standard） of the MOEJ （Ministry of the Environment Japan） （15 μg/m^3）, and 41.1% of the daily PM2.5 mass concentration exceeded the annual JEQS concentration during observation period. The major components of PM2.5 including SO4^2-, NO3^-, NH4^＋, OC and EC were tightly related to the meteorological conditions, the correlations results shown that the wind speed and relative humidity had significant correlations with major components of PM2.5 than the other meteorological factors. Higher relative humidity, windless and less rainfall conditions were favorable for elimination of PM2.5 concentration. Higher temperature was beneficial to the formation of SO42＂, but higher temperature and stronger sunshine duration were not conducive to the formation of NO3^-.
文摘Growing concerns about environmental quality of cities are calling for sustainable road transportation technologies. EV （electric vehicles）, for public and private transport, can contribute significantly to the lowering of the current pollution levels. However, the EV use is currently facing several weaknesses among which are： limited driving range, high cost and overall limited efficiency. Electric vehicles management is a relatively recent problem; its purpose is to expedite the establishment of a costumer convenient, cost-effective, EV infrastructure. Inspire the relevance of the problem, a few small research communities in this field work on some of its aspects. In this work, some important issues of this problem are discussed and the contribution of combinatorial optimization tools for solving some challenging subproblems is studied.
文摘A decision-making model of gear process for green manufacturing is presented, which integrates the five objectives including the time, quality, cost, resource consumption and environmental impact of gear process together into the development of a strategy. Mathematical description is provided for the multi-objectives decision-making model. The expert judgment and the multi-fuzzy assessment theory are introduced to do sensible comparisons and give quantitative results. A case study on practical cutting tool selection in gear machining demonstrates that the proposed model is applicable.
基金Sponsored by the National Natural Science Foundation of China(Grant No. 60434010)the Foundation of the Outstanding Youth of Heilongjiang Province ( Grant No. JC200606)
文摘To provide a realistic simulation environment for users,intelligent models have become key components in military simulations. After the analysis of modeling nature of intelligent models,the validation criteria for defining the validation points and validation metrics for measuring the agreements between human experts and intelligent models were presented. Further,such methods as graphical comparison,feature analysis and face validation were discussed according to the characteristics of intelligent models. Based on the validation criteria,validation metrics and validation methods,the intelligent models can be effectively validated,which has been proved in current developed intelligent models.
