IVS201SH视野检查系统控制软件实现

VS201SH视野检查系统的软件控制基于Windows平台和VC6．0开发环境,使用了对象建模方法和消息、多线程机制。系统通过人性化的操作界面,实NT高可靠性,强扩展性的医疗视野控制检查功能。该系统实NT盲点、青光眼、黄斑、低视力、区域、阈值等视野检查功能。     

Development of Deep-Learning-Based Single-Molecule Localization Image Analysis

Recent developments in super-resolution fluorescence microscopic techniques (SRM) have allowed for nanoscale imaging that greatly facilitates our understanding of nanostructures. However, the performance of single-molecule localization microscopy (SMLM) is significantly restricted by the image analysis method, as the final super-resolution image is reconstructed from identified localizations through computational analysis. With recent advancements in deep learning, many researchers have employed deep learning-based algorithms to analyze SMLM image data. This review discusses recent developments in deep-learning-based SMLM image analysis, including the limitations of existing fitting algorithms and how the quality of SMLM images can be improved through deep learning. Finally, we address possible future applications of deep learning methods for SMLM imaging.     

基于TTCN-3的SIP协议软件测试方法研究

为了更加高效地测试基于SIP(session initiation protocol,会话初始协议)的应用软件,提出了一种通过执行TTCN-3抽象测试套来验证SIP应用程序正确性的新方法.简单介绍了SIP协议和TTCN-3,给出了基于TTCN-3的SIP协议软件测试的设计与实现方法,结合一个具体应用实例详细验证了该方法的可行性.该方法具有可重用、操作简单、执行快捷等特点.     

The Skeptical Explorer: A Multiple-Hypothesis Approach to Visual Modeling and Exploration

The primary intent of this work is to present a method for sequentially associating three-dimensional surface measurements acquired by an autonomous exploration agent with models that describe those surfaces. Traditional multiple-viewpoint registration approaches are concerned only with finding the transformation that maps data points to a chosen global frame. Given a parts-based object representation, and assuming that the view correspondence can be found, the problem of associating the registered data with the correct part models still needs to be solved. While traditional approaches are content to group segmented data sets that geometrically overlap one another with the same part, there are cases where this causes ambiguous situations. This paper addresses the model-data association problem as it applies to three-dimensional dynamic object modeling. By tracking the state of part models across subsequent views, we wish to identify possible events that explain model-data association ambiguities and represent them in a Bayesian framework. The model-data association problem is therefore relaxed to allow multiple interpretations of the object's structure, each being assigned a probability. Rather than making a decision at every iteration about an ambiguous mapping, we look to the future for the information needed to disambiguate it. Experimental results are presented to illustrate the effectiveness of the approach.     

漏洞自动挖掘技术研究进展

漏洞利用的严重破坏性和漏洞发现的复杂性使漏洞自动挖掘研究成为计算机安全领域所面临的一项亟待解决的课题。在研究漏洞自动挖掘原理及所采用技术与方法的基础上,对已有的研究成果进行了分析和总结,提出了对进一步研究的看法。     

消失点计算方法研究

利用消失点(线)进行场景理解与三维重建是计算机视觉研究中的一个重要问题。以往 主要是利用图像点的齐次坐标来计算,由于同一图像点的齐次坐标之间相差一个比例因子,当图像 坐标过大(或过小)时,会引起计算精度的下降。为此,从实际计算角度出发,利用图像点的坐标矢 量和调和共轭特性,研究了消失点的计算方法。经过举例分析和算法验证,证明该方法实用、可靠。     

一种结合区域检测和语义分割的SLAM技术

提出一种结合区域检测和语义分割的即时定位和建图（SLAM）技术，通过引入高精度图像描述子SIFT来实现前端视觉里程计（VO）过程中帧间像素匹配的精度。为了降低引入操作带来的计算复杂度，设计一个实时区域检测算法，在相邻帧间检测大致相似的ROI(Region of Interest)关键区域，使得SIFT描述子的提取和匹配只在ROI区域内完成，其余区域仍旧采用精度略低、效率更高的ORB算子。同时，为了提高后端BA(Bundle Adjustment)的精度，减少累积误差，结合语义图，在原有的基本投影误差函数上添加一个语义误差。该语义图采用实时语义分割算法完成，同时只针对ROI区域进行分割。通过与原SLAM方案对比实验，表明本文提出的方法，在提高一定精度的同时，仍能满足SLAM实时定位和建图的要求。最后，在电力作业场景下验证了该方案的效果。     

一起800 kV断路器绝缘故障的原因分析

笔者对官亭变电站扩建工程中一台800 kV断路器连续两次故障的情况进行了介绍,详细分析了故障的原因,提出了800 kV开关设备需要进一步加强的检查措施,为后续800 kV开关设备提供了质量保障。     

变电站阀控式铅酸蓄电池50％放电测试的研究

通过对阀控式铅酸蓄电池5h不离线放电测试方法及其放电终止电压值的研究,实现了一种安全、快速的变电站用蓄电池状态评估方法——“50％放电”,同时满足DL／T724—2000标准对变电站仅有一组蓄电池的安全测试要求。     

高精度金属氧化物避雷器测试仪标准装置的研制

为了保证电力系统的安全可靠运行,笔者研制了一种基于DSP和CPLD技术的高精度金属氧化物避雷器测试仪标准装置,产生标准的电压和电流信号,模拟金属氧化物避雷器的运行状态,对金属氧化物避雷器测试仪进行检定。该标准装置采用高分辨率全数字移相技术和反馈控制技术,有效地提高了装置输出精度。送中南国家计量测试中心测试,测试结果表明该装置的输出电压电流的精度达到0.1%,电压与电流之间相位的控制精度达到0.04°,满足对金属氧化物避雷器测试仪检定的要求。