In order to solve the problem of path planning of mobile robots in a dynamic environment,an improved rapidly-exploring random tree^(*)(RRT^(*))algorithm is proposed in this paper.First,the target bias sampling is intr...In order to solve the problem of path planning of mobile robots in a dynamic environment,an improved rapidly-exploring random tree^(*)(RRT^(*))algorithm is proposed in this paper.First,the target bias sampling is introduced to reduce the randomness of the RRT^(*)algorithm,and then the initial path planning is carried out in a static environment.Secondly,apply the path in a dynamic environment,and use the initially planned path as the path cache.When a new obstacle appears in the path,the invalid path is clipped and the path is replanned.At this time,there is a certain probability to select the point in the path cache as the new node,so that the new path maintains the trend of the original path to a greater extent.Finally,MATLAB is used to carry out simulation experiments for the initial planning and replanning algorithms,respectively.More specifically,compared with the original RRT^(*)algorithm,the simulation results show that the number of nodes used by the new improved algorithm is reduced by 43.19%on average.展开更多
This paper concerns the Strategic Environmental Assessment of the construction of some major Greek motorways： the Ionia Motorway, the Peloponnese Motorway and the Athens-Lamia Motorway. In the beginning the natural a...This paper concerns the Strategic Environmental Assessment of the construction of some major Greek motorways： the Ionia Motorway, the Peloponnese Motorway and the Athens-Lamia Motorway. In the beginning the natural and cultural diversity of the Greek landscape as well as its conservation needs are discussed. The landscape impact assessment methodology consists of the identification of environmental goals, of sensitive landscape parameters, of environmental indicators and of acceptable impact thresholds. The selection of alternative solutions as well as of mitigation measures has been studied, on the basis of relevant environmental indicators. The developed methodology may constitute a tool for the environmental management of other road programs of great scale.展开更多
This study seeks to answer one question： The quality level of organizational environment. Is it an indicator of the workplace satisfaction level, according to the perception of Hitachi Chemical employees in Montemore...This study seeks to answer one question： The quality level of organizational environment. Is it an indicator of the workplace satisfaction level, according to the perception of Hitachi Chemical employees in Montemorelos, Nuevo León, México？ This study＇s design is both explanatory and cross-sectional. The sample size was composed of 143 Hitachi Chemical employees of Montemorelos, Nuevo León, México. For the data collection, two instruments were used： the first instrument was used to measure the quality of organizational climate and the second was focused on measuring the workplace satisfaction level. As a result, the level of organizational climate quality is in fact a predictor of workplace satisfaction of Hitachi Chemical employees. After the regression analysis, it was found that the variable, level of organizational climate, explained a 71.4% variance in the dependent variable, work satisfaction. It was determined that organizational climate is a strong predictor of work satisfaction perceived by employees of Hitachi Chemicals, Montemorelos, Nuevo León, México. It can be established that the greater the levels of organizational climate experienced by the employees, the greater the level of work satisfaction will be.展开更多
基金National Natural Science Foundation of China(No.61903291)。
文摘In order to solve the problem of path planning of mobile robots in a dynamic environment,an improved rapidly-exploring random tree^(*)(RRT^(*))algorithm is proposed in this paper.First,the target bias sampling is introduced to reduce the randomness of the RRT^(*)algorithm,and then the initial path planning is carried out in a static environment.Secondly,apply the path in a dynamic environment,and use the initially planned path as the path cache.When a new obstacle appears in the path,the invalid path is clipped and the path is replanned.At this time,there is a certain probability to select the point in the path cache as the new node,so that the new path maintains the trend of the original path to a greater extent.Finally,MATLAB is used to carry out simulation experiments for the initial planning and replanning algorithms,respectively.More specifically,compared with the original RRT^(*)algorithm,the simulation results show that the number of nodes used by the new improved algorithm is reduced by 43.19%on average.
文摘This paper concerns the Strategic Environmental Assessment of the construction of some major Greek motorways： the Ionia Motorway, the Peloponnese Motorway and the Athens-Lamia Motorway. In the beginning the natural and cultural diversity of the Greek landscape as well as its conservation needs are discussed. The landscape impact assessment methodology consists of the identification of environmental goals, of sensitive landscape parameters, of environmental indicators and of acceptable impact thresholds. The selection of alternative solutions as well as of mitigation measures has been studied, on the basis of relevant environmental indicators. The developed methodology may constitute a tool for the environmental management of other road programs of great scale.
文摘This study seeks to answer one question： The quality level of organizational environment. Is it an indicator of the workplace satisfaction level, according to the perception of Hitachi Chemical employees in Montemorelos, Nuevo León, México？ This study＇s design is both explanatory and cross-sectional. The sample size was composed of 143 Hitachi Chemical employees of Montemorelos, Nuevo León, México. For the data collection, two instruments were used： the first instrument was used to measure the quality of organizational climate and the second was focused on measuring the workplace satisfaction level. As a result, the level of organizational climate quality is in fact a predictor of workplace satisfaction of Hitachi Chemical employees. After the regression analysis, it was found that the variable, level of organizational climate, explained a 71.4% variance in the dependent variable, work satisfaction. It was determined that organizational climate is a strong predictor of work satisfaction perceived by employees of Hitachi Chemicals, Montemorelos, Nuevo León, México. It can be established that the greater the levels of organizational climate experienced by the employees, the greater the level of work satisfaction will be.
