3D human pose estimation in motion based on multi-stage regression

3D human pose estimation in motion is a hot research direction in the field of computer vision. However, the performance of the algorithm is affected by the complexity of 3D spatial information, self-occlusion of human body, mapping uncertainty and other problems. In this paper, we propose a 3D human joint localization method based on multi-stage regression depth network and 2D to 3D point mapping algorithm. First of all, we use a single RGB image as the input, through the introduction of heatmap and multi-stage regression to constantly optimize the coordinates of human joint points. Then we input the 2D joint points into the mapping network for calculation, and get the coordinates of 3D human body joint points, and then to complete the 3D human body pose estimation task. The MPJPE of the algorithm in Human3.6 M dataset is 40.7. The evaluation of dataset shows that our method has obvious advantages.     

Tracking video objects with feature points based particle filtering

For intelligent video surveillance, the adaptive tracking of multiple moving objects is still an open issue. In this paper, a new multi-object tracking method based on video frames is proposed. A type of particle filtering combined with the SIFT (Scale Invariant Feature Transform) is proposed for motion tracking, where SIFT key points are treated as parts of particles to improve the sample distribution. Then, a queue chain method is adopted to record data associations among different objects, which could improve the detection accuracy and reduce the computational complexity. By actual road tests and comparisons, the system tracks multi-objects with better performance, e.g., real time implementation and robust against mutual occlusions, indicating that it is effective for intelligent video surveillance systems.     

Quantifying DNS namespace influence

Name resolution using the Domain Name System (DNS) is integral to today’s Internet. The resolution of a domain name is often dependent on namespace outside the control of the domain’s owner. In this article we review the DNS protocol and several DNS server implementations. Based on our examination, we propose a formal model for analyzing the name dependencies inherent in DNS. Using our name dependency model we derive metrics to quantify the extent to which domain names affect other domain names. It is found that under certain conditions, more than half of the queries for a domain name are influenced by namespaces not expressly configured by administrators. This result serves to quantify the degree of vulnerability of DNS due to dependencies that administrators are unaware of. When we apply metrics from our model to production DNS data, we show that the set of domains whose resolution affects a given domain name is much smaller than previously thought. However, behaviors such as using cached addresses for querying authoritative servers and chaining domain name aliases increase the number and diversity of influential domains, thereby making the DNS infrastructure more vulnerable.     

封闭循环TEA CO2激光器用催化剂的实验研究

在不同的催化剂和不同温度的条件下,用磁氧分析仪监测了封离型TEA C0₂激光器中O₂含量随时间或脉冲次数的变化。对实验现象进行了分析。对几种催化剂的特性给出了详细的比较。     

火星着陆缓冲气囊冲击过程的仿真分析

气囊缓冲着陆技术适用于小型着陆器着陆火星。针对总体指标30m/s冲击速度下峰值加速度小于200G的要求,设计了一种适用于火星环境的小型封闭式气囊结构用于着陆缓冲。为了探索气囊特性和节省环境仿真试验成本,运用非线性有限元工具LS-DYNA分析了气囊充气压力、冲击速度、冲击姿态角等参数对缓冲性能的影响。仿真结果表明,相同冲击速度下,着陆器峰值加速度随充气压力增大而增大,但受冲击姿态角影响甚微。冲击时间与冲击速度、冲击姿态角无关,而充气压力与系统结构的函数。系统弹性刚度要随充气压力增大而增大,随冲击姿态角增大而减小。结论是设计满足设计指标。     

基于同态球的多孔材料三维模型快速重构方法

研究多孔材料的三维模型重构问题,提高重构效率。多孔材料真实孔隙空间的结构异常复杂,孔隙空间的构成面较大,需要计算的孔隙像素量繁多,传统的基于二元表示法的重构方法,将孔隙空间逐一映射成像素点实现几何形态描述无法有效处理大量的孔隙像素量,巨大的计算量造成重构效率不高的问题。为此,提出了一种基于同态球的多孔材料三维模型重构方法。通过确定孔隙空间的"同态球"并据此定义孔隙体,将多孔材料的孔隙空间几何形态用孔隙体和吼道来表示,利用孔隙体和吼道之间的联系重构三维模型,避免了对孔隙空间逐一分析而造成的重构效率不高的问题。仿真实验表明,这种方法形象描述几何形态,有效减少了重构计算量,能够快速完成多孔材料三维模型的重构。     

蚁群算法在传感器网络数据融合中的应用

研究无线传感器网络数据融合优化问题,采集数据过程节点间存在大量的冗余数据,需对数据进行融合,提高数据传输效率。为了更好地消除冗余数据,提出一种采用蚁群算法的传感器网络数据融合方法。通过建立传感器数据的传输初始路由,再用蚁群算法找到最佳数据路由,即数据传输最优传感器节点序列,从而实现数据融合。仿真结果表明,蚁群算法能够有效消除冗余数据,减少网络中数据传输量,降低传感器节点能量消耗,延长整个网络的寿命。     

基于状态保持恢复的嵌入式Linux快速启动方法的研究

提高嵌入式设备的启动速度对嵌入式Linux系统的应用和发展具有重要的意义,本文针对嵌入式Linux系统,分析了其正常的启动流程;并在现在加快系统启动速度方法的基础上,提出一种新的嵌入式Linux系统启动加速方法,并把这种方法应用到具体的嵌入式板卡上验证,取得了明显的效果。     

高速加工中心主轴系统动力学建模及优化设计

建立了DMU-70V五轴数控高速加工中心主轴-夹具-刀具系统的有限元模型，并利用动态测试的方法对有限元计算结果进行验证；以提高低阶固有频率作为动态优化目标函数，对主轴系统进行了优化设计。     

基于GOS的国家网格集成环境及应用实例开发*

中国国家网格作为国内最主要的网格为用户提供了良好的计算服务.详细讨论了网格中间件系统软件GOS的功能和结构,以及基于GOS的中国国家网格集成环境,给出了生物信息软件MEME在国家网格环境下的集成实现,并提出了今后的工作方向.