两种升降回转定位装置的设计

介绍了功能完全相同、结构不同的两种升降回转定位装置的设计实例,讨论了两种设计结构各自的特点。两种结构分别命名为框架式结构和中空柱式结构,框架式结构以标准直线光轴为结构件主体和导向部件,优点是加工装配方便,适用于行程短,负载小,结构轻巧,预算成本小的场合;中空柱式结构以结构用无缝钢管为结构件主体,优点是结构刚性和导向稳定性好,适用于行程长、负载大、结构紧凑、预算成本大的场合。     

Theory and detection scheme of seismic EM signals transferred into the atmosphere from the oceanic and continental lithosphere

Due to the compound structure of the medium and large portions of energy transferred, a seismic excitation in the oceanic or continental lithosphere disturbs all types of geophysical fields. To investigate the problem of electromagnetic (EM) disturbances in the atmosphere from the seismically activated lithosphere, we have formulated two mathematical models of interaction of fields of different physical nature resulting in arising of the low-frequency (from 0.1 to 10 Hz by amplitude of a few hundreds of pT) EM signals in the atmosphere. First we have considered the EM field generation in the moving oceanic lithosphere and then in the moving continental one. For both cases, the main physical principles and geological data were applied for formulation of the model and characteristics of the computed signals of different nature agree with measurements of other authors. On the basis of the 2D model of the seismo-hydro-EM-temperature interaction in the lithosphere–Ocean–atmosphere domain, a block-scheme of a multisensory vertically distributed (from a seafloor up to the ionosphere) tsunami precursors’ detection system is described. On the basis of the 3D model of the seismo-EM interaction in a lithosphere–atmosphere domain, we explain why Prof. Kopytenko (Inst. IZMIRAN of Russian Acad. Sci.) and co-authors were able to estimate location of the future seismic epicenter area from their magnetic field measurements in the atmosphere near the earth’s surface.     

Chaotic Characteristic Analysis of Air Traffic System

Chaotic characteristics of traffic flow time series is analyzed to further investigate nonlinear characteristics of air traffic system. Phase space is reconstructed both by time delay which is built through mutual information, and by embedding dimension which is based on false nearest neighbors method. In order to analyze chaotic characteristics of time series, correlation dimensions and the largest Lyapunov exponents are calculated through Grassberger-Procaccia （G-P） algorithm and small-data method. Five-day radar data from the control center in Guangzhou area are analyzed and the results show that saturated correlation dimensions with self-similar structures exist in time series, and the largest Lyapunov exponents are all equal to zero and not sensitive to initial conditions. Air traffic system is affected hy multiple factors, containing inherent randomness, which lead to chaos. Only grasping chaotic characteristics can air traffic be predicted and controlled accurately.     

社会转型下我国社会管理与社会保障的关系、问题及对策研究

伴随着民生诉求的全面升级、新型城市化战略的有序推进，“党委领导、政府负责、社会协同、公众参与”的社会管理格局得到了进一步拓展完善。社会管理与保障在社会转型下面临着诸多挑战，保障和改善民生成为了深化社会建设的重点。事实上，统筹处理好社会管理与社会保障之间的关系，不仅有助于加强社会管理体制建设、构建统筹城乡的社会保障体制，也利于健全新型社区管理服务机制。     

高校战略人力资源管理系统模型的构建

在战略人力资源管理理论的基础之上,提出了高校战略人力资源管理系统模型构建的方法,分别从系统的目标、运行机制、维度等方面进行了分析。高校战略人力资源管理系统的目标包括社会与经济两个方面的效益实现,运行机制包括激励、学习、约束、牵引与压力等方面,而维度则包括人力资源的招聘、培训、考核、管理、沟通等方面。通过高校战略人力资源管理系统模型的架设,以及针对现阶段高校人员管理方法的探究,缓解我国高等教育人力资源管理方面的压力。     

论民营中小企业的企业文化建设

近年来民营中小企业已经成为我国经济中的一支重要力量。然而民营中小企业文化建设现状却不容乐观,影响了非公有制经济的发展。文章阐述了企业文化建设在中小民营企业生存和发展中的重要作用,分析了我国中小民营企业文化建设的现状,提出了中小民营企业的文化建设应树立以人为本的理念、建设个性化的企业文化等建议。     

激光捷联惯导系统温度误差补偿研究

针对激光陀螺惯性导航系统中惯性器件零偏随温度变化的情况,在-30℃～+50℃温度范围内,通过大量的温度实验,建立了零偏与温度变化的多项式模型,并用该模型对实验数据进行了补偿,扣除地速和重力加速度的分量,惯性器件输出几乎为零。最后在不同温度下进行了初始对准实验,实验结果表明：经过温度补偿后,在-30℃～+50℃ 温度内,俯仰角误差平均在0.0019° 以内,横滚角误差平均在0.0038°以内,航向角误差平均在0.014° 以内,接近了常温下的初始对准精度,满足了系统的指标要求。     

桩筏基础沉降试验研究

本文对唐山市信息港工程进行沉降观测试验研究。沉降观测布设高程控制网点共5个,共观测6次,另外监测7次,实际观测13次。通过对沉降观测进行分析,从群桩沉降时间关系曲线可以看出,沉降的总趋势是沉降速率随时间的增长而衰减,最后趋于基本稳定,图中出现的沉降曲线上下波动,作者认为是由于群桩中各部分荷载的重新分配造成的。     

改进U-Net网络及在遥感影像道路提取中的应用

高分辨率遥感图像分割在军事、民用等领域具有良好的应用前景,但由于复杂的背景条件以及干扰物的遮挡,导致现有算法无法较好地从遥感影像中提取道路细节信息。研究基于改进U Net网络模型,提出了MDAU-Net（multi dimension attention U-Net）网络结构模型,通过对U-Net网络结构加深至七层结构来提升精细分割道路的能力;并提出了一种多维注意力模块MD-MECA（multi dimension modified efficient channel attention）,将其添加至编码部分的特征传递步骤中,以达到对编码部分的特征传递进行优化的目的;其中利用DropBlock与Batch Normalization解决网络训练过程中出现的过拟合。试验结果表明:改进后算法可以有效提升道路的提取效果,在测试集上的准确率达到了97.04%。