一种提取抖动视频中前景目标的新方法

提取视频中的前景目标信息是视频处理领域非常重要的问题,考虑到现实生活中会出现监控摄像头不可避免地会出现晃动或偏移情况,造成监控视频短暂抖动,此时背景图像灰度和纹理信息都会受到较大的影响,从而给后期进一步分析前景信息带来了巨大的困难。为了兼顾纹理特征提取和噪声抑制两方面的要求,针对抖动视频的前景提取问题,提出了一种有效的融合小波变换和在线混合高斯模型的方案。首先运用仿射变换在线逐帧校准,接着利用小波变换对图像去噪,并建立自适应模型迭代上述过程,最后利用在线混合高斯模型提取前景。实验结果表明,与同类方法相比,该算法无论针对单目标还是多目标视频均可以有效去除抖动,得到较好的前景目标提取效果,具有较高的准确性和鲁棒性。     

DTS在学校培训模式的探索

介绍了DTS在学校应用的培训模式。该模式充分利用DTS系统的计算资源,实现学校大批量学员同时独立培训、考试及相应的管理评估。主要包括以下关键技术：分组培训;单机培训;分组培训与单机培训的结合;综合性的管理评估工具。本文成果取得了较好的应用效果。     

Numerical Investigation of Integrated Design on Uniform Fluid Distribution for Radial Flow Adsorber

Theoretical Foundations of Chemical Engineering - Non-uniform distribution of air in radial flow adsorber restricts the development of large-scale air separation units (ASUs). The cross-sectional...     

基于分布式技术的用电信息采集主站系统设计与应用

随着用户侧数据采集设备的发展及电网业务对用户侧采集数据的深化应用,当前电力用户用电信息采集主站系统在数据采集、计算、入库等方面出现瓶颈,无法满足业务快速发展的需求.针对营销数字化转型发展的需要,基于分布式架构、异步网络、并行计算与分布式存储等技术,文中提出一种具有高频实时采集特征的主站系统技术方案,在采集通信层、任务调度层、分布式存储层及并行计算层4个层面全面解决高频并发交互、复杂任务调度、海量数据存储及实时计算的效率问题.通过中国某省级工程应用表明,所提出的方案可显著提升用电信息采集主站的采集能力,改善集中式采集主站性能.     

Creep behavior and failure mechanisms of CVI and PIP SiC/SiC composites at temperatures to 1650 °C in air

Creep properties of 2D woven CVI and PIP SiC/SiC composites with Sylramic™-iBN SiC fibers were measured at temperatures to 1650 °C in air and the data was compared with the literature. Batch-to-batch variations in the tensile and creep properties, and thermal treatment effects on creep, creep parameters, damage mechanisms, and failure modes for these composites were studied. Under the test conditions, the CVI SiC/SiC composites exhibited both matrix and fiber-dominated creep depending on stress, whereas the PIP SiC/SiC composites displayed only fiber-dominated creep. Creep durability in both composite systems is controlled by the most creep resistant phase as well as oxidation of the fibers via cracking matrix. Specimen-to- specimen variations in porosity and stress raisers caused significant differences in creep behavior and durability. The Larson-Miller parameter and Monkman-Grant relationship were used wherever applicable for analyzing and predicting creep durability.     

基于RISC架构的多串口网口通信管理装置

介绍了一种工控行业基于精简指令集计算机（RISC）架构的多串口网口通信管理装置在水电厂计算机监控系统中的设计及应用。阐述了该装置的硬件结构、软件结构、功能设置和实际应用等方面的内容,可以根据编程规范对该装置进行二次开发,具有一定工程有效性。     

载波设备网管中高性能网络通信的模块设计

以载波设备网管系统的开发为背景,利用windows操作系统提供的端口技术,给出了载波设备网管中网络通信模块的设计方案,该方案采用线程池、对象池等多种系统优化技术。网络通信模块以动态库输出函数方式为上层应用提供网络服务。     

光伏直流变压器不闭锁零电压穿越策略

针对中压直流系统双极故障下光伏直流变压器的低电压穿越问题,首先基于双有源桥和全桥隔离电路的子模块拓扑结构,分析光伏直流变压器正常运行时最大功率点追踪控制的快速实现方案。然后利用光伏电池板输出特性,提出光伏直流变压器不闭锁穿越策略,该策略对故障时长不敏感,可实现严重故障下的零电压穿越。进一步,针对故障穿越暂态过程中的过电压及子模块不均压问题,提出多控制策略间的平滑切换方案,有效降低暂态过程中的过电压现象,改善子模块间的均压效果。最后在MATLAB/Simulink环境中搭建仿真模型,验证所提策略的有效性。     

考虑广域稳态量测时延的全网同时断面生成

互联大电网运行方式复杂多变,广域稳态量测数据采集不同步将引入较大的量测误差。为提高稳态量测数据时标一致性,提出一种基于统一时钟的全网同时断面生成方法。首先,基于广域稳态量测数据时序特征,提出一种固定时间间隔的数据滚动存储及循环更新方法,解决断面数据对齐问题。然后,采用电气介数法识别关键节点,在保证关键节点量测数据实时性的基础上,基于量测量的时空关联特性修正未更新量测数据,从而确保整合后全网同时断面数据的时效性和准确性。最后,基于标准算例和实际电网算例仿真结果,验证了所提方法的正确性和有效性。     

Study on Recognition Method of Similar Weather Scenes in Terminal Area

Weather is a key factor affecting the control of air traffic. Accurate recognition and classification of similar weather scenes in the terminal area is helpful for rapid decision-making in air traffic flow management. Current researches mostly use traditional machine learning methods to extract features of weather scenes, and clustering algorithms to divide similar scenes. Inspired by the excellent performance of deep learning in image recognition, this paper proposes a terminal area similar weather scene classification method based on improved deep convolution embedded clustering (IDCEC), which uses the combination of the encoding layer and the decoding layer to reduce the dimensionality of the weather image, retaining useful information to the greatest extent, and then uses the combination of the pre-trained encoding layer and the clustering layer to train the clustering model of the similar scenes in the terminal area. Finally, terminal area of Guangzhou Airport is selected as the research object, the method proposed in this article is used to classify historical weather data in similar scenes, and the performance is compared with other state-of-the-art methods. The experimental results show that the proposed IDCEC method can identify similar scenes more accurately based on the spatial distribution characteristics and severity of weather; at the same time, compared with the actual flight volume in the Guangzhou terminal area, IDCEC's recognition results of similar weather scenes are consistent with the recognition of experts in the field.