This paper mainly discussed the application of plant landscape design in special space of ecological buildings. From the concept of special space of ecological buildings,it elaborated social and ecological benefits of...This paper mainly discussed the application of plant landscape design in special space of ecological buildings. From the concept of special space of ecological buildings,it elaborated social and ecological benefits of greening projects in special space. It proposed the classification method for special space of ecological building with habitat as the major part and combined with characteristics of building form. On the basis of such classification,it discussed green design method and plant selection principle,in the hope of providing certain reference for garden designers in green design of ecological buildings.展开更多
To avoid crowd evacuation simulations depending on 2D environments and real data,we propose a framework for crowd evacuation modeling and simulation by applying deep reinforcement learning(DRL)and 3D physical environm...To avoid crowd evacuation simulations depending on 2D environments and real data,we propose a framework for crowd evacuation modeling and simulation by applying deep reinforcement learning(DRL)and 3D physical environments(3DPEs).In 3DPEs,we construct simulation scenarios from the aspects of geometry,semantics and physics,which include the environment,the agents and their interactions,and provide training samples for DRL.In DRL,we design a double branch feature extraction combined actor and critic network as the DRL policy and value function and use a clipped surrogate objective with polynomial decay to update the policy.With a unified configuration,we conduct evacuation simulations.In scenarios with one exit,we reproduce and verify the bottleneck effect of congested crowds and explore the impact of exit width and agent characteristics(number,mass and height)on evacuation.In scenarios with two exits and a uniform(nonuniform)distribution of agents,we explore the impact of exit characteristics(width and relative position)and agent characteristics(height,initial location and distribution)on agent exit selection and evacuation.Overall,interactive 3DPEs and unified DRL enable agents to adapt to different evacuation scenarios to simulate crowd evacuation and explore the laws of crowd evacuation.展开更多
Flood visualization is an effective and intuitive tool for representing flood information from abstract spatiotemporal data.With the growing demand for flood disaster visualizations and mitigation,augmented flood visu...Flood visualization is an effective and intuitive tool for representing flood information from abstract spatiotemporal data.With the growing demand for flood disaster visualizations and mitigation,augmented flood visualizations that support decision makers’perspectives are needed,which can be enhanced by emerging augmented reality(AR)and 3D printing technologies.This paper proposes an innovative flood AR visualization method based on a 3D-printed terrain model and investigates essential techniques,such as the suitable size calculation of the terrain models,the adaptive processing of flood data,and hybridizing virtual flood and terrain models.A prototype experimental system(PES)based on the proposed method and a comparison experimental system(CES)based on a virtual terrain are developed to conduct comparative experiments,which combine the system performance and questionnaire method to evaluate the efficiency and usability of the proposed method.The statistical results indicate that the method is useful for assisting participants in understanding the flood hazard and providing a more intuitive and realistic visual experience compared with that of the traditional AR flood visualization method.The frame rate is stable at 60 frames per second(FPS),which means that the proposed method is more efficient than the traditional AR flood visualization method.展开更多
Adrenomyeloneuropathy(AMN)is a kind of varied disease caused by ABCD1 gene mutation and characterized by very-long-chain fatty acids(VLCFA)accumulation.It is diag-nosed by clinical features,high VLCFAs levels and ABCD...Adrenomyeloneuropathy(AMN)is a kind of varied disease caused by ABCD1 gene mutation and characterized by very-long-chain fatty acids(VLCFA)accumulation.It is diag-nosed by clinical features,high VLCFAs levels and ABCD1 gene mutation.AMN is rarely reported in Chinese population.In this study,we report the genetic and clinical features of a Chinese pure AMN patient.Meanwhile,we conducted a literature review of AMN cases to summarize the characteristics of AMN.We report a rare Chinese pure AMN case with slowly progressive weakness of the lower extremities,caused by a novel c.1202G>A mutation in ABCD1 gene.The literature review indicates that spastic paraplegia is the mainly clinical manifestation in patients with AMN.VLCFAs and ABCD1 gene test should be performed in patients with spastic paraplegia of the lower limbs to diagnose AMN.展开更多
基金Supported by Soft Science Project of Jiangxi Provincial Science and Technology Department(20133BBA10017)Youth Growth Foundation of Jiangxi Normal University
文摘This paper mainly discussed the application of plant landscape design in special space of ecological buildings. From the concept of special space of ecological buildings,it elaborated social and ecological benefits of greening projects in special space. It proposed the classification method for special space of ecological building with habitat as the major part and combined with characteristics of building form. On the basis of such classification,it discussed green design method and plant selection principle,in the hope of providing certain reference for garden designers in green design of ecological buildings.
基金supported and funded by the National Key Technology R&D Program of China[grant number 2020YFC0833103]the Pilot Fund of Frontier Science and Disruptive Technology of Aerospace Information Research Institute,Chinese Academy of Sciences[grant number E0Z211010F]the National Natural Science Foundation of China[grant number 41971361 and the National Natural Science Foundation of China[grant number 42171113].
文摘To avoid crowd evacuation simulations depending on 2D environments and real data,we propose a framework for crowd evacuation modeling and simulation by applying deep reinforcement learning(DRL)and 3D physical environments(3DPEs).In 3DPEs,we construct simulation scenarios from the aspects of geometry,semantics and physics,which include the environment,the agents and their interactions,and provide training samples for DRL.In DRL,we design a double branch feature extraction combined actor and critic network as the DRL policy and value function and use a clipped surrogate objective with polynomial decay to update the policy.With a unified configuration,we conduct evacuation simulations.In scenarios with one exit,we reproduce and verify the bottleneck effect of congested crowds and explore the impact of exit width and agent characteristics(number,mass and height)on evacuation.In scenarios with two exits and a uniform(nonuniform)distribution of agents,we explore the impact of exit characteristics(width and relative position)and agent characteristics(height,initial location and distribution)on agent exit selection and evacuation.Overall,interactive 3DPEs and unified DRL enable agents to adapt to different evacuation scenarios to simulate crowd evacuation and explore the laws of crowd evacuation.
基金the National Key R&D Plan of China[grant number 2017YFC1500906]the National Natural Science Foundation of China[grant number 41871323,41771442]+1 种基金Pre-research Project of Equipment Development Department[grant number 315050501]the Zhejiang Institute of Advanced Technology Chinese Academy of Sciences Special Fund Collaborative Innovation Project[grant number ZK-CX-2018-04].
文摘Flood visualization is an effective and intuitive tool for representing flood information from abstract spatiotemporal data.With the growing demand for flood disaster visualizations and mitigation,augmented flood visualizations that support decision makers’perspectives are needed,which can be enhanced by emerging augmented reality(AR)and 3D printing technologies.This paper proposes an innovative flood AR visualization method based on a 3D-printed terrain model and investigates essential techniques,such as the suitable size calculation of the terrain models,the adaptive processing of flood data,and hybridizing virtual flood and terrain models.A prototype experimental system(PES)based on the proposed method and a comparison experimental system(CES)based on a virtual terrain are developed to conduct comparative experiments,which combine the system performance and questionnaire method to evaluate the efficiency and usability of the proposed method.The statistical results indicate that the method is useful for assisting participants in understanding the flood hazard and providing a more intuitive and realistic visual experience compared with that of the traditional AR flood visualization method.The frame rate is stable at 60 frames per second(FPS),which means that the proposed method is more efficient than the traditional AR flood visualization method.
基金The study was supported by the National key R&D Program of China[grant numbers 2017YFC1310300,2016YFC1306600]the National Natural Science Foun-dation of China[grant numbers 81301081,81601127]。
文摘Adrenomyeloneuropathy(AMN)is a kind of varied disease caused by ABCD1 gene mutation and characterized by very-long-chain fatty acids(VLCFA)accumulation.It is diag-nosed by clinical features,high VLCFAs levels and ABCD1 gene mutation.AMN is rarely reported in Chinese population.In this study,we report the genetic and clinical features of a Chinese pure AMN patient.Meanwhile,we conducted a literature review of AMN cases to summarize the characteristics of AMN.We report a rare Chinese pure AMN case with slowly progressive weakness of the lower extremities,caused by a novel c.1202G>A mutation in ABCD1 gene.The literature review indicates that spastic paraplegia is the mainly clinical manifestation in patients with AMN.VLCFAs and ABCD1 gene test should be performed in patients with spastic paraplegia of the lower limbs to diagnose AMN.
