This paper introduced domestic and overseas status, the historical evolution and the development history of earthquake disaster reduction planning. The urgencies and realistic significance were analyzed to carry out e...This paper introduced domestic and overseas status, the historical evolution and the development history of earthquake disaster reduction planning. The urgencies and realistic significance were analyzed to carry out earthquake disaster reduction planning for districts or countries in the northwest. With Hongsibao District in Wuzhong City, Ningxia Province as an example, this article analyzed in detail the present situation and the special problems of earthquake disaster reduction planning in Northwest China. The relevant solving measures were put forward in order to offer a reference for the scientific establishment and effective implementation of earth- quake disaster reduction planning in Northwest China. The foundation of earthquake disaster reduction in the Hongsibao District is still very weak, there is a single earthquake monitoring means, the emergency rescue system is not complete, the working mechanism is not perfect, and the lack of funding for the work of earthquake disaster reduction.展开更多
This paper explores the realization of robotic motion planning, especially Findpath problem, which is a basic motion planning problem that arises in the development of robotics. Findpath means: Give the initial and de...This paper explores the realization of robotic motion planning, especially Findpath problem, which is a basic motion planning problem that arises in the development of robotics. Findpath means: Give the initial and desired final configurations of a robotic arm in 3-dimensionnl space, and give descriptions of the obstacles in the space, determine whether there is a continuous collision-free motion of the robotic arm from one configure- tion to the other and find such a motion if it exists. There are several branches of approach in motion planning area, but in reality the important things are feasibility, efficiency and accuracy of the method. In this paper ac- cording to the concepts of Configuration Space (C-Space) and Rotation Mapping Graph (RMG) discussed in [1], a topological method named Dimension Reduction Method (DRM) for investigating the connectivity of the RMG (or the topologic structure of the RMG )is presented by using topologic technique. Based on this ap- proach the Findpath problem is thus transformed to that of finding a connected way in a finite Characteristic Network (CN). The method has shown great potentiality in practice. Here a simulation system is designed to embody DRM and it is in sight that DRM can he adopted in the first overall planning of real robot sys- tem in the near future.展开更多
With rapid urbanization,megacities worldwide are transitioning to stock optimization and reduction planning to address spatial constraints.Dynamic monitoring and functional optimization of construction space have emer...With rapid urbanization,megacities worldwide are transitioning to stock optimization and reduction planning to address spatial constraints.Dynamic monitoring and functional optimization of construction space have emerged as crucial areas of research for interdisciplinary studies on urban inventory and reduction planning.The advent of artificial intelligence technology and high-resolution remote sensing images enables building footprint extraction and urban function identification at a relatively large scale.However,there have been limited recent attempts to explore the reuse of buildings with altered functions.Here,we introduced an artificial intelligence technology framework for implementing urban inventory and reduction planning,using Beijing as an example.Utilizing the U-Net deep learning model and highfrequency remote sensing images,we analyzed building space dynamics in Beijing between 2018 and 2019.Then,by combining the random forest regression method with data on vacated building spaces,we developed strategies to optimize and simulate the layout for various reuse functions,including recultivation and regreening in the planned non-construction areas,as well as residential,industrial,and public service facilities in planned construction areas.Our results reveal a substantial decrease in building area,primarily affecting environmentally important areas such as agricultural land areas and urban green spaces.These findings align with the reduction requirements outlined in the latest version of the Beijing Urban Master Plan(2016-2035),in accordance with the updated General Regulations and the initiative“Relief,Remediation and Promotion”.Based on the implementation principles of inventory and reduction in the new General Plan,the study explored optimized layouts for future reuse functions within planned construction and non-construction spaces.This innovative approach to urban space optimization and governance simulation offers valuable scientific insights and decision-making support for urban structure adjustments and land use efficiency enhancements in megacities.展开更多
基金Supported by State Key Laboratory of Loess and Quaternary Geology Open-end Fund(SKLLQG1426)Post-doctoral Foundation and National Natural Science Foundation of China(41102107)~~
文摘This paper introduced domestic and overseas status, the historical evolution and the development history of earthquake disaster reduction planning. The urgencies and realistic significance were analyzed to carry out earthquake disaster reduction planning for districts or countries in the northwest. With Hongsibao District in Wuzhong City, Ningxia Province as an example, this article analyzed in detail the present situation and the special problems of earthquake disaster reduction planning in Northwest China. The relevant solving measures were put forward in order to offer a reference for the scientific establishment and effective implementation of earth- quake disaster reduction planning in Northwest China. The foundation of earthquake disaster reduction in the Hongsibao District is still very weak, there is a single earthquake monitoring means, the emergency rescue system is not complete, the working mechanism is not perfect, and the lack of funding for the work of earthquake disaster reduction.
文摘This paper explores the realization of robotic motion planning, especially Findpath problem, which is a basic motion planning problem that arises in the development of robotics. Findpath means: Give the initial and desired final configurations of a robotic arm in 3-dimensionnl space, and give descriptions of the obstacles in the space, determine whether there is a continuous collision-free motion of the robotic arm from one configure- tion to the other and find such a motion if it exists. There are several branches of approach in motion planning area, but in reality the important things are feasibility, efficiency and accuracy of the method. In this paper ac- cording to the concepts of Configuration Space (C-Space) and Rotation Mapping Graph (RMG) discussed in [1], a topological method named Dimension Reduction Method (DRM) for investigating the connectivity of the RMG (or the topologic structure of the RMG )is presented by using topologic technique. Based on this ap- proach the Findpath problem is thus transformed to that of finding a connected way in a finite Characteristic Network (CN). The method has shown great potentiality in practice. Here a simulation system is designed to embody DRM and it is in sight that DRM can he adopted in the first overall planning of real robot sys- tem in the near future.
基金supported by the National Natural Science Foundation of China(42301461)Open Research Fund Program of Technical Innovation Center of Mine Geological Environmental Restoration Engineering in Southern Karst Area,Ministry of Natural Resources(NFSS2023004).
文摘With rapid urbanization,megacities worldwide are transitioning to stock optimization and reduction planning to address spatial constraints.Dynamic monitoring and functional optimization of construction space have emerged as crucial areas of research for interdisciplinary studies on urban inventory and reduction planning.The advent of artificial intelligence technology and high-resolution remote sensing images enables building footprint extraction and urban function identification at a relatively large scale.However,there have been limited recent attempts to explore the reuse of buildings with altered functions.Here,we introduced an artificial intelligence technology framework for implementing urban inventory and reduction planning,using Beijing as an example.Utilizing the U-Net deep learning model and highfrequency remote sensing images,we analyzed building space dynamics in Beijing between 2018 and 2019.Then,by combining the random forest regression method with data on vacated building spaces,we developed strategies to optimize and simulate the layout for various reuse functions,including recultivation and regreening in the planned non-construction areas,as well as residential,industrial,and public service facilities in planned construction areas.Our results reveal a substantial decrease in building area,primarily affecting environmentally important areas such as agricultural land areas and urban green spaces.These findings align with the reduction requirements outlined in the latest version of the Beijing Urban Master Plan(2016-2035),in accordance with the updated General Regulations and the initiative“Relief,Remediation and Promotion”.Based on the implementation principles of inventory and reduction in the new General Plan,the study explored optimized layouts for future reuse functions within planned construction and non-construction spaces.This innovative approach to urban space optimization and governance simulation offers valuable scientific insights and decision-making support for urban structure adjustments and land use efficiency enhancements in megacities.
