The main idea of pervasive computing is to make computing exist everywhere in the physical world.The smart home system is an important realisation of pervasive computing whose aim is to provide system users with an in...The main idea of pervasive computing is to make computing exist everywhere in the physical world.The smart home system is an important realisation of pervasive computing whose aim is to provide system users with an intelligent life experience.The key technique used to realise this is context awareness.Contexts in the living space can provide large amounts of information regarding users’behaviours and habits.Together with an information system,it can automatically execute many common operations of applications,instead of users,and can make the applications"smart".However,since contexts in the environment are diverse and sensitive,it is difficult to choose the ones that are most useful to the users’current activity.A proper scheduling strategy should first consider the users’demand.This paper proposes a context-aware scheduling algorithm that is based on correlation,with the purpose of improving the utilization rate of context collections.Experiments show that with the priority based on correlation in low-level contexts,the scheduling of reasoning tasks can reduce the cost of transmission.展开更多
The purpose of this study is to analyze the household waste reduction effect of sorted collection of recyclable waste in Japan using a panel data analysis, which considers time-series and cross-section data simultaneo...The purpose of this study is to analyze the household waste reduction effect of sorted collection of recyclable waste in Japan using a panel data analysis, which considers time-series and cross-section data simultaneously. Also, the study shows the effect of the type of sorted items on the quantity of household waste disposed. We used the data attained from 103 cities recorded over three years, and applied the quantity of total waste disposed, the quantity of combustible waste, the quantity of other waste （waste excluding combustible and recyclable waste）, and the quantity of combustible plus other waste as objective variables, respectively, in the models. The result suggests that when the number of sorted items is increased marginally, the quantity of household waste decreases by about 0.5%-3.3% or 1.28-4.17 grams per capita per day. In addition, it is shown that sorting out white trays is effective in reducing the quantity of combustible waste. Sorting out paper containers and packages is also effective in reducing the quantity of other waste and combustible plus other waste.展开更多
基金partially supported by the National Natural Science Foundation of China under Grant No.61103115the Hunan Provincial Natural Science Foundation of China under Grant No.11JJ4058the Scientific Research Fund of Hunan Provincial Education Department under Grant No.11A041
文摘The main idea of pervasive computing is to make computing exist everywhere in the physical world.The smart home system is an important realisation of pervasive computing whose aim is to provide system users with an intelligent life experience.The key technique used to realise this is context awareness.Contexts in the living space can provide large amounts of information regarding users’behaviours and habits.Together with an information system,it can automatically execute many common operations of applications,instead of users,and can make the applications"smart".However,since contexts in the environment are diverse and sensitive,it is difficult to choose the ones that are most useful to the users’current activity.A proper scheduling strategy should first consider the users’demand.This paper proposes a context-aware scheduling algorithm that is based on correlation,with the purpose of improving the utilization rate of context collections.Experiments show that with the priority based on correlation in low-level contexts,the scheduling of reasoning tasks can reduce the cost of transmission.
文摘The purpose of this study is to analyze the household waste reduction effect of sorted collection of recyclable waste in Japan using a panel data analysis, which considers time-series and cross-section data simultaneously. Also, the study shows the effect of the type of sorted items on the quantity of household waste disposed. We used the data attained from 103 cities recorded over three years, and applied the quantity of total waste disposed, the quantity of combustible waste, the quantity of other waste （waste excluding combustible and recyclable waste）, and the quantity of combustible plus other waste as objective variables, respectively, in the models. The result suggests that when the number of sorted items is increased marginally, the quantity of household waste decreases by about 0.5%-3.3% or 1.28-4.17 grams per capita per day. In addition, it is shown that sorting out white trays is effective in reducing the quantity of combustible waste. Sorting out paper containers and packages is also effective in reducing the quantity of other waste and combustible plus other waste.
