Plant Landscape Design in Special Space of Ecological Buildings

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.

乡村振兴背景下“互联网+老年教育”模式研究——以甘肃省为例

乡村振兴背景下,随着城乡老年人对于学习的需要不断增强,传统的教育模式已经不能满足现实需求,互联网技术的出现为城乡老年教育的发展带来了无限可能,“互联网+教育”应运而生。文章立足乡村振兴背景,以我国老龄化实际情况为基础,结合甘肃省城乡老年教育现状分析老年在线教育的困境,倡导形成以政府为主导、社区和社会组织联合的“互联网+城乡老年教育”教学新模式,探索现代信息技术与教育的深度融合,大力推动城乡老年教育的信息化发展。

Deep reinforcement learning and 3D physical environments applied to crowd evacuation in congested scenarios

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.

基于空间稀疏采样的频谱态势生成:模型与算法

面对日益复杂的电磁频谱环境和持续增长的用频需求,为了维护电磁频谱秩序和安全,提高频谱资源整体利用效率,亟需利用有限感知节点采集的频谱状态数据,挖掘广域地理空间的频谱态势信息.本文从空、时、频等多维频谱态势表征着手,探讨和总结基于空间稀疏采样的电磁环境频谱态势的模型和生成方法.本文提出了基于多元函数的频谱态势表征方法,建立了适应不同辐射源传播特性的频谱态势模型.针对不同类别的频谱态势生成方法,论文分析了空间稀疏采样下频谱态势模型的辨识性和恢复性条件,为实现频谱态势的可靠生成提供了理论准则.最后,论文通过仿真对不同频谱态势生成算法的性能进行了对比分析.

An efficient flood dynamic visualization approach based on 3D printing and augmented reality

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.

A novel ABCD1 G1202A mutation in a Chinese patient with pure adrenomyeloneuropathy and literature review

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.