摘要：With the expansion of a city,the urban green space is occupied and the urban heat island effect is *** the roof surfaces of urban buildings is an effective way to increase the area of urban green space and improve the urban ecological *** provide effective data support for urban green space planning,this paper used high-resolution images to(1)obtain accurate building spots on the map of the study area through deep learning assisted manual correction;and(2)establish an evaluation index system of roof greening including the characteristics of the roof itself,the natural environment and the human society *** weight values of attributes not related to the roof itself were calculated by Analytic Hierarchy Process(AHP).The suitable green roof locations were evaluated by spatial join,weighted superposition and other spatial analysis *** the areas within the Chengdu city’s third ring road as the study area,the results show that an accurate building pattern obtained by deep learning greatly improves the efficiency of the *** roof surfaces unsuitable for greening can be effectively classified by the method of feature extraction,with an accuracy of 86.58%.The roofs suitable for greening account for 48.08%,among which,the high-suitability roofs,medium-suitability roofs and low-suitability roofs represent 45.32%,38.95%and 15.73%.The high-suitability green buildings are mainly distributed in the first ring district and the western area outside the first ring district in *** paper is useful for solving the current problem of the more saturated high-density urban area and allowing the expansion of the urban ecological environment.

摘要：目的 通过对中层管理者能力进行细分,定位重点能力提升人群和亟待提升的能力。方法 于2022年6月用分层整群抽样方法,从5个维度对院内78名中层管理者进行问卷评分,采用聚类分析对中层管理者5个维度能力进行细分,针对得分率较低的人群和能力,进一步分析二级指标。结果 通过聚类,78名中层管理者分为薄弱型22例(28.21%)、中间型28例(35.90%)和菁英型28例(35.90%),其中,薄弱型各项能力得分率均最低,菁英型各项能力得分率均最高;三种类型人员在逻辑思维能力和专业素养两方面得分率均最低,分别为91.5%和91.4%,具体体现在战略与前瞻意识、领导艺术、现代管理知识、突发状况的应变能力等指标,得分率分别为89.5%、89.8%、90.4%、90.8%。结论 从人力资源选拔、培训、考核、激励等角度针对薄弱型中层管理者以及前瞻意识、领导艺术、现代管理知识、突发状况的应变能力等薄弱的能力进行精准提升。

摘要：提出了一种基于区块链的去中心化无人机集群解决方案。首先设计了无人机单机智能体的硬件架构和软件系统,制定集群控制策略。其次硬件架构采用“双脑”的组合方案,主控制模块作为“大脑”其核心为嵌入式系统,负责处理智能单元硬件平台与各种传感器的通信、数据处理与分析,以及参与集群通信和中心机控制任务;单机智能体的飞控模块作为“小脑”主要控制无人机飞行姿态,保证无人机飞行稳定;传感器和通信模块采用远近结合,实现智能单元的集群飞行。通过先进和高效的算法,实现基于区块链的去中心化。此研究对去中心化无人机集群解决方案有一定的参考价值。