The urban planner qualification system of China was established in the year of 2000.After ten years' progress,a team of 15,000 registered urban planners has been set up,which has become the backbone of China's...The urban planner qualification system of China was established in the year of 2000.After ten years' progress,a team of 15,000 registered urban planners has been set up,which has become the backbone of China's urban planning industry and has played an important role.The enhancement of the administration of registered urban planners is needed for standardizing urban planning education,accelerating the fostering of planning professionals,and keeping pace with the market economy system and the urban-rural planning in the new era.Meanwhile,it is also an important task for China's urban planning industry to open up to the outside world and catch up with international standards.展开更多
介绍了STEP-NC的概念、数据模型及其结构特点,然后通过对比MLP(Machining Line Planner)和STEP-NC数控程序对特征和操作的不同定义方法,分析了在MLP中特征及加工工艺与STEP-NC的对应关系,探讨了在MLP中实现输出STEP-NC格式的零件加工程...介绍了STEP-NC的概念、数据模型及其结构特点,然后通过对比MLP(Machining Line Planner)和STEP-NC数控程序对特征和操作的不同定义方法,分析了在MLP中特征及加工工艺与STEP-NC的对应关系,探讨了在MLP中实现输出STEP-NC格式的零件加工程序的方法。展开更多
For an urban planning perspective,industrial revolutions have always represented a disruptive moment in lives of cities.What will be the impacts of this fourth industrial revolution in the training of urban planners?T...For an urban planning perspective,industrial revolutions have always represented a disruptive moment in lives of cities.What will be the impacts of this fourth industrial revolution in the training of urban planners?This paper aims to investigate the contribution of Urban Big Data within the curricula of the Schools of Architecture.Adopting a qualitative and quantitative approach to analyze the syllabi of the schools of architecture,this work presents a first picture of the different approaches of this promising teaching subject,to foster a discussion on the different visions proposed to forge the next generation of town planner practitioners.展开更多
Whether its chatbot concierges or self-check-in kiosks,hotels are getting smarter.Robots.Facial recognition technology.Virtual and augmented reality.There's a seemingly unending stream of cool tech tools flowing ...Whether its chatbot concierges or self-check-in kiosks,hotels are getting smarter.Robots.Facial recognition technology.Virtual and augmented reality.There's a seemingly unending stream of cool tech tools flowing out of research-and-development centers and into all corners of the meeting and haspiality industries.lt's influencing hotel and event check-in processes,adding bells and whistles to guest rooms,and innovating meeting spaces.To borrow from Thomas Dolby,they're blinding us with science.Before delving into the latest tech trends,it's worthwhile to hear the consensus view from meeting planners,hoteliers,and futurists who focus on the hospitality industry:Technology will enhance but never replace the way hotels cater toguests.展开更多
As autonomous underwater vehicles(AUVs)merely adopt the inductive obstacle avoidance mechanism to avoid collisions with underwater obstacles,path planners for underwater robots should consider the poor search efficien...As autonomous underwater vehicles(AUVs)merely adopt the inductive obstacle avoidance mechanism to avoid collisions with underwater obstacles,path planners for underwater robots should consider the poor search efficiency and inadequate collision-avoidance ability.To overcome these problems,a specific two-player path planner based on an improved algorithm is designed.First,by combing the artificial attractive field(AAF)of artificial potential field(APF)approach with the random rapidly exploring tree(RRT)algorithm,an improved AAF-RRT algorithm with a changing attractive force proportional to the Euler distance between the point to be extended and the goal point is proposed.Second,a twolayer path planner is designed with path smoothing,which combines global planning and local planning.Finally,as verified by the simulations,the improved AAF-RRT algorithm has the strongest searching ability and the ability to cross the narrow passage among the studied three algorithms,which are the basic RRT algorithm,the common AAF-RRT algorithm,and the improved AAF-RRT algorithm.Moreover,the two-layer path planner can plan a global and optimal path for AUVs if a sudden obstacle is added to the simulation environment.展开更多
Driving style,traffic and weather conditions have a significant impact on vehicle fuel consumption and in particular,the road freight traffic significantly contributes to the CO2 increase in atmosphere.This paper prop...Driving style,traffic and weather conditions have a significant impact on vehicle fuel consumption and in particular,the road freight traffic significantly contributes to the CO2 increase in atmosphere.This paper proposes an Eco-Route Planner devoted to determine and communicate to the drivers of Heavy-Duty Vehicles(HDVs)the eco-route that guarantees the minimum fuel consumption by respecting the travel time established by the freight companies.The proposed eco-route is the optimal route from origin to destination and includes the optimized speed and gear profiles.To this aim,the Cloud Computing System architecture is composed of two main components:the Data Management System that collects,fuses and integrates the raw external sources data and the Cloud Optimizer that builds the route network,selects the eco-route and determines the optimal speed and gear profiles.Finally,a real case study is discussed by showing the benefit of the proposed Eco-Route planner.展开更多
Pollutants may be introduced into urban or marine settings by various means and could result in an adverse impact to public safety and the environment. Therefore, it is important for emergency management personnel to ...Pollutants may be introduced into urban or marine settings by various means and could result in an adverse impact to public safety and the environment. Therefore, it is important for emergency management personnel to understand the potential risks and physical extents of a leaked substance, whether it is toxic, flammable or explosive. Traditional tools for predicting the atmospheric dispersion of leaked substances are quick and simple to use, but may not adequately consider the effects of the built environment that includes complex urban and terrain geometries. Alternatively, CFD methods have been increasing in application;although, their superior accuracy is met with commensurate manual effort. The All Hazards Planner is a fast, accurate gas dispersion modelling tool for city and port environments, which employs a full-physics CFD approach but automates the intensive manual effort. In this work, a credible LNG leak from a 12-mm-diameter hole is modelled for two hypothetical case studies: adjacent to an LNG tanker and between a cruise ship and pier during bunkering. The LNG vapour flammability extents are compared to an empirical model in the absence of geometry effects and are contrasted with geometry effects to highlight the importance of the real environment. The free-field extents are invariant, whereas the inclusion of geometry is shown to reduce the flammability extents by spreading at the ground-level and forcing the plume upwards.展开更多
There are many challenges for robot navigation in densely populated dynamic environments.This paper presents a survey of the path planning methods for robot navigation in dense environments.Particularly,the path plann...There are many challenges for robot navigation in densely populated dynamic environments.This paper presents a survey of the path planning methods for robot navigation in dense environments.Particularly,the path planning in the navigation framework of mobile robots is composed of global path planning and local path planning,with regard to the planning scope and the executability.Within this framework,the recent progress of the path planning methods is presented in the paper,while examining their strengths and weaknesses.Notably,the recent developed Velocity Obstacle method and its variants that serve as the local planner are analyzed comprehensively.Moreover,as a model-free method that is widely used in current robot applications,the reinforcement learning-based path planning algorithms are detailed in this paper.展开更多
It is necessary for legged robots to walk stably and smoothly on rough terrain.In this paper,a desired landing points(DLP) walking method based on preview control was proposed in which an off-line foot motion trace an...It is necessary for legged robots to walk stably and smoothly on rough terrain.In this paper,a desired landing points(DLP) walking method based on preview control was proposed in which an off-line foot motion trace and an on-line modification of the trace were used to enable the robot to walk on rough terrain.The on-line modification was composed of speed modification,foot lifting-off height modification,step length modification,and identification and avoidance of unsuitable landing terrain.A planner quadruped robot simulator was used to apply the DLP walking method.The correctness of the method was proven by a series of simulations using the Adams and Simulink.展开更多
文摘The urban planner qualification system of China was established in the year of 2000.After ten years' progress,a team of 15,000 registered urban planners has been set up,which has become the backbone of China's urban planning industry and has played an important role.The enhancement of the administration of registered urban planners is needed for standardizing urban planning education,accelerating the fostering of planning professionals,and keeping pace with the market economy system and the urban-rural planning in the new era.Meanwhile,it is also an important task for China's urban planning industry to open up to the outside world and catch up with international standards.
文摘For an urban planning perspective,industrial revolutions have always represented a disruptive moment in lives of cities.What will be the impacts of this fourth industrial revolution in the training of urban planners?This paper aims to investigate the contribution of Urban Big Data within the curricula of the Schools of Architecture.Adopting a qualitative and quantitative approach to analyze the syllabi of the schools of architecture,this work presents a first picture of the different approaches of this promising teaching subject,to foster a discussion on the different visions proposed to forge the next generation of town planner practitioners.
文摘Whether its chatbot concierges or self-check-in kiosks,hotels are getting smarter.Robots.Facial recognition technology.Virtual and augmented reality.There's a seemingly unending stream of cool tech tools flowing out of research-and-development centers and into all corners of the meeting and haspiality industries.lt's influencing hotel and event check-in processes,adding bells and whistles to guest rooms,and innovating meeting spaces.To borrow from Thomas Dolby,they're blinding us with science.Before delving into the latest tech trends,it's worthwhile to hear the consensus view from meeting planners,hoteliers,and futurists who focus on the hospitality industry:Technology will enhance but never replace the way hotels cater toguests.
基金Supported by Zhejiang Key R&D Program 558 No.2021C03157the“Construction of a Leading Innovation Team”project by the Hangzhou Munic-559 ipal government,the Startup funding of New-joined PI of Westlake University with Grant No.560(041030150118)the funding support from the Westlake University and Bright Dream Joint In-561 stitute for Intelligent Robotics.
文摘As autonomous underwater vehicles(AUVs)merely adopt the inductive obstacle avoidance mechanism to avoid collisions with underwater obstacles,path planners for underwater robots should consider the poor search efficiency and inadequate collision-avoidance ability.To overcome these problems,a specific two-player path planner based on an improved algorithm is designed.First,by combing the artificial attractive field(AAF)of artificial potential field(APF)approach with the random rapidly exploring tree(RRT)algorithm,an improved AAF-RRT algorithm with a changing attractive force proportional to the Euler distance between the point to be extended and the goal point is proposed.Second,a twolayer path planner is designed with path smoothing,which combines global planning and local planning.Finally,as verified by the simulations,the improved AAF-RRT algorithm has the strongest searching ability and the ability to cross the narrow passage among the studied three algorithms,which are the basic RRT algorithm,the common AAF-RRT algorithm,and the improved AAF-RRT algorithm.Moreover,the two-layer path planner can plan a global and optimal path for AUVs if a sudden obstacle is added to the simulation environment.
基金the European Project opti Truck(optimal fuel consumption with predictive power train control and calibration for intelligent Truck)of the H2020 innovation programme。
文摘Driving style,traffic and weather conditions have a significant impact on vehicle fuel consumption and in particular,the road freight traffic significantly contributes to the CO2 increase in atmosphere.This paper proposes an Eco-Route Planner devoted to determine and communicate to the drivers of Heavy-Duty Vehicles(HDVs)the eco-route that guarantees the minimum fuel consumption by respecting the travel time established by the freight companies.The proposed eco-route is the optimal route from origin to destination and includes the optimized speed and gear profiles.To this aim,the Cloud Computing System architecture is composed of two main components:the Data Management System that collects,fuses and integrates the raw external sources data and the Cloud Optimizer that builds the route network,selects the eco-route and determines the optimal speed and gear profiles.Finally,a real case study is discussed by showing the benefit of the proposed Eco-Route planner.
文摘Pollutants may be introduced into urban or marine settings by various means and could result in an adverse impact to public safety and the environment. Therefore, it is important for emergency management personnel to understand the potential risks and physical extents of a leaked substance, whether it is toxic, flammable or explosive. Traditional tools for predicting the atmospheric dispersion of leaked substances are quick and simple to use, but may not adequately consider the effects of the built environment that includes complex urban and terrain geometries. Alternatively, CFD methods have been increasing in application;although, their superior accuracy is met with commensurate manual effort. The All Hazards Planner is a fast, accurate gas dispersion modelling tool for city and port environments, which employs a full-physics CFD approach but automates the intensive manual effort. In this work, a credible LNG leak from a 12-mm-diameter hole is modelled for two hypothetical case studies: adjacent to an LNG tanker and between a cruise ship and pier during bunkering. The LNG vapour flammability extents are compared to an empirical model in the absence of geometry effects and are contrasted with geometry effects to highlight the importance of the real environment. The free-field extents are invariant, whereas the inclusion of geometry is shown to reduce the flammability extents by spreading at the ground-level and forcing the plume upwards.
文摘There are many challenges for robot navigation in densely populated dynamic environments.This paper presents a survey of the path planning methods for robot navigation in dense environments.Particularly,the path planning in the navigation framework of mobile robots is composed of global path planning and local path planning,with regard to the planning scope and the executability.Within this framework,the recent progress of the path planning methods is presented in the paper,while examining their strengths and weaknesses.Notably,the recent developed Velocity Obstacle method and its variants that serve as the local planner are analyzed comprehensively.Moreover,as a model-free method that is widely used in current robot applications,the reinforcement learning-based path planning algorithms are detailed in this paper.
基金supported in part by the National Natural Science Foundation of China under Grant 60875067the Natural Science Foundation of Heilongjiang Province under Grant F200602the Technical Innovation Talent Foundation of Harbin under Grant 2010RFQXG010
文摘It is necessary for legged robots to walk stably and smoothly on rough terrain.In this paper,a desired landing points(DLP) walking method based on preview control was proposed in which an off-line foot motion trace and an on-line modification of the trace were used to enable the robot to walk on rough terrain.The on-line modification was composed of speed modification,foot lifting-off height modification,step length modification,and identification and avoidance of unsuitable landing terrain.A planner quadruped robot simulator was used to apply the DLP walking method.The correctness of the method was proven by a series of simulations using the Adams and Simulink.
