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Delay Trigger in the Application of Network Testing System 被引量:1
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作者 马敏 严浩 夏侯士戟 《Journal of Donghua University(English Edition)》 EI CAS 2015年第1期132-135,共4页
The researchers who study the local area network( LAN) eXtension for instrumentation( LXI) instrument are pursuing instrument's high-precision synchronization. In the paper,three synchronization modes were discuss... The researchers who study the local area network( LAN) eXtension for instrumentation( LXI) instrument are pursuing instrument's high-precision synchronization. In the paper,three synchronization modes were discussed which were clock synchronization, trigger synchronization, and response synchronization. Synchronous process between LXI instruments was analyzed and each time factor affecting the synchronization accuracy was discussed. On the basis of the analysis,it can be found that delay trigger plays an important role in the network testing system's synchronization. Delay trigger can produce an additional time interval to correct the difference of each LXI instrument's response time. Then,a method to realize the delay trigger was introduced. Delay time can be adjustable according to the actual demand. Finally,synchronization accuracy of network testing system can reach nanoseconds. 展开更多
关键词 LXI instrument synchronization accuracy network testing system delay trigger
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Research on Testing Technologies of Network System in Smart Substations 被引量:1
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作者 Zhang Xiaofei Wang Jiesong +2 位作者 Zhang Daoyin Zhang Zhiming Zhao Ruying 《Electricity》 2012年第3期19-23,共5页
The network structures of smart substations and the characteristics of industrial Ethernet switches are analyzed.The testing technologies of network systems based on smart substations are specifically elaborated.A vie... The network structures of smart substations and the characteristics of industrial Ethernet switches are analyzed.The testing technologies of network systems based on smart substations are specifically elaborated.A viewpoint is proposed that special testing policy&method of smart substation networks should be followed,so that the results can reveal the real network data exchange performance of the whole station.This view ensures the safety and stability of smart substations and lays a foundation for future upgrades and expansions. 展开更多
关键词 smart substation industrial Ethernet SWITCH network testing system testing
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Networked collaborative pseudo-dynamic testing of a multi-span bridge based on NetSLab 被引量:1
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作者 Cai Xinjiang Tian Shizhu +1 位作者 Wang Dapeng Xiao Yan 《Earthquake Engineering and Engineering Vibration》 SCIE EI CSCD 2009年第3期387-397,共11页
Modem dynamic tests such as networked collaborative pseudo-dynamic testing (PDT) provide new tools to study the dynamic performance of large and complex structures. In this paper, several networked collaborative PDT... Modem dynamic tests such as networked collaborative pseudo-dynamic testing (PDT) provide new tools to study the dynamic performance of large and complex structures. In this paper, several networked collaborative PDT systems established in China and abroad are introduced, including a detailed description of the first networked collaborative platform that involved the construction of a standardized demonstration procedure for networked collaborative PDT. The example is a multi-span bridge with RC piers retrofitted by FRP, and a networked structural laboratory (NetSLab) platform is used to link distributed laboratories located at several universities together. Substructure technology is also used in the testing. The characteristics, resource sharing and collaborative work of NetSLab are described, and the results illustrate that use of the NetSLab is feasible for studying the dynamic performance of multi-span bridge structures. 展开更多
关键词 dynamic tests networkED pseudo-dynamic testing multi-span bridges RC short piers FRP NetSLab
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<i>Inmap-t</i>: Leveraging TTCN-3 to Test the Security Impact of Intra Network Elements
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作者 Antonino Vitale Marc Dacier 《Journal of Computer and Communications》 2021年第6期174-190,共17页
This paper rejuvenates the notion of conformance testing in order to assess the security of networks. It leverages the Testing and Test Control Notation Version 3 (TTCN-3) by applying it to a redefined notion of <i... This paper rejuvenates the notion of conformance testing in order to assess the security of networks. It leverages the Testing and Test Control Notation Version 3 (TTCN-3) by applying it to a redefined notion of <i>System under Test</i> (<i>SUT</i>). Instead of testing, as it is classically done, a software/firmware/ hardware element, an intangible object, namely the network, is tested in order to infer some of its security properties. After a brief introduction of TTCN-3 and Titan, its compilation and execution environment, a couple of use cases are provided to illustrate the feasibility of the approach. The pros and cons of using TTCN-3 to implement a scalable and flexible network testing environment are discussed. 展开更多
关键词 TTCN-3 network Security Conformance testing Deep Packet Inspection FIREWALL
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Application of artificial neural networks for predicting the impact of rolling dynamic compaction using dynamic cone penetrometer test results 被引量:8
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作者 R.A.T.M. Ranasinghe M.B. Jaksa +1 位作者 Y.L. Kuo F. Pooya Nejad 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2017年第2期340-349,共10页
Rolling dynamic compaction(RDC),which involves the towing of a noncircular module,is now widespread and accepted among many other soil compaction methods.However,to date,there is no accurate method for reliable predic... Rolling dynamic compaction(RDC),which involves the towing of a noncircular module,is now widespread and accepted among many other soil compaction methods.However,to date,there is no accurate method for reliable prediction of the densification of soil and the extent of ground improvement by means of RDC.This study presents the application of artificial neural networks(ANNs) for a priori prediction of the effectiveness of RDC.The models are trained with in situ dynamic cone penetration(DCP) test data obtained from previous civil projects associated with the 4-sided impact roller.The predictions from the ANN models are in good agreement with the measured field data,as indicated by the model correlation coefficient of approximately 0.8.It is concluded that the ANN models developed in this study can be successfully employed to provide more accurate prediction of the performance of the RDC on a range of soil types. 展开更多
关键词 Rolling dynamic compaction(RDC) Ground improvement Artificial neural network(ANN) Dynamic cone penetration(DCP) test
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Load Reduction Test Method of Similarity Theory and BP Neural Networks of Large Cranes 被引量:4
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作者 YANG Ruigang DUAN Zhibin +2 位作者 LU Yi WANG Lei XU Gening 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2016年第1期145-151,共7页
Static load tests are an important means of supervising and detecting a crane's lift capacity. Due to space restrictions, however, there are difficulties and potential danger when testing large bridge cranes. To solv... Static load tests are an important means of supervising and detecting a crane's lift capacity. Due to space restrictions, however, there are difficulties and potential danger when testing large bridge cranes. To solve the loading problems of large-tonnage cranes during testing, an equivalency test is proposed based on the similarity theory and BP neural networks. The maximum stress and displacement of a large bridge crane is tested in small loads, combined with the training neural network of a similar structure crane through stress and displacement data which is collected by a physics simulation progressively loaded to a static load test load within the material scope of work. The maximum stress and displacement of a crane under a static load test load can be predicted through the relationship of stress, displacement, and load. By measuring the stress and displacement of small tonnage weights, the stress and displacement of large loads can be predicted, such as the maximum load capacity, which is 1.25 times the rated capacity. Experimental study shows that the load reduction test method can reflect the lift capacity of large bridge cranes. The load shedding predictive analysis for Sanxia 1200 t bridge crane test data indicates that when the load is 1.25 times the rated lifting capacity, the predicted displacement and actual displacement error is zero. The method solves the problem that lifting capacities are difficult to obtain and testing accidents are easily possible when 1.25 times related weight loads are tested for large tonnage cranes. 展开更多
关键词 similarity theory BP neural network large bridge crane load reduction equivalent test method
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Data Consistency Tests through the Use of Neural Networks and Virial Equation. Application of the Proposed Methodology to Critical Study of Density Data
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作者 Abdeslam Hassen Meniai Serge Laugier +1 位作者 Hakim Madani Dominique Richon 《Open Journal of Physical Chemistry》 2011年第3期61-69,共9页
This paper focuses on a very important point which consists in evaluating experimental data prior to their use for chemical process designs. Hexafluoropropylene P, ρ, T data measured at 11 temperatures from 263 to 36... This paper focuses on a very important point which consists in evaluating experimental data prior to their use for chemical process designs. Hexafluoropropylene P, ρ, T data measured at 11 temperatures from 263 to 362 K and at pressures up to 10 MPa have been examined through a consistency test presented herein and based on the use of a methodology implying both neural networks and Virial equation. Such a methodology appears as very powerful to identify erroneous data and could be conveniently handled for quick checks of databases previously to modeling through classical thermodynamic models and equations of state. As an application to liquid and vapor phase densities of hexafluoropropylene, a more reliable database is provided after removing out layer data. 展开更多
关键词 CONSISTENCY testS HEXAFLUOROPROPYLENE NEURAL networks Vibrating Tube DENSIMETER VIRIAL Equation
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Test Effort Estimation Using Neural Network
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作者 Chintala Abhishek Veginati Pavan Kumar +1 位作者 Harish Vitta Praveen Ranjan Srivastava 《Journal of Software Engineering and Applications》 2010年第4期331-340,共10页
In software industry the major problem encountered during project scheduling is in deciding what proportion of the resources has allocated to the testing phase. In general it has been observed that about 40%-50% of th... In software industry the major problem encountered during project scheduling is in deciding what proportion of the resources has allocated to the testing phase. In general it has been observed that about 40%-50% of the resources need to be allocated to the testing phase. However it is very difficult to predict the exact amount of effort required to be allocated to testing phase. As a result the project planning goes haywire. The project which has not been tested sufficiently can cause huge losses to the organization. This research paper focuses on finding a method which gives a measure of the effort to be spent on the testing phase. This paper provides effort estimates during pre-coding and post-coding phases using neural network to predict more accurately. 展开更多
关键词 test EFFORT Estimation NEURAL network USE CASE POINTS Halstead Model
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pytest自动测试框架通用搭建方法研究 被引量:1
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作者 邢浩 孙孟宇 石杰 《山西电子技术》 2025年第1期102-105,共4页
Pytest是一种基于python的自动测试框架,可以实现测试代码的自动化执行,应用十分广泛。由于Pytest支持测试代码自动执行、并行执行、测试报告自动生成等多种功能,因此在搭建pytest开发环境时需要安装各种第三方插件和python依赖包,这给p... Pytest是一种基于python的自动测试框架,可以实现测试代码的自动化执行,应用十分广泛。由于Pytest支持测试代码自动执行、并行执行、测试报告自动生成等多种功能,因此在搭建pytest开发环境时需要安装各种第三方插件和python依赖包,这给pytest开发环境的搭建带来了麻烦。为了给pytest使用人员提供便利,对pytest自动测试框架的通用搭建方法进行了研究。首先介绍了pytest自动测试框架的应用领域和特点;然后分别对联网环境和离网环境下pytest的搭建方法进行了介绍;之后分析了不同操作系统下pytest安装方法的通用性;最后对pytest通用安装方法的应用效果进行了说明。 展开更多
关键词 pytest 自动测试框架 通用搭建方法 联网搭建 离网搭建
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多样性引导的深度神经网络测试用例生成方法
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作者 苏祥 杨志斌 +1 位作者 周勇 张海 《小型微型计算机系统》 北大核心 2026年第1期181-192,共12页
基于覆盖引导的模糊测试(Coverage-Guided Fuzzing,CGF)广泛应用于深度神经网络(DNN)测试,通过生成覆盖率高的衍生测试样本以提升模型的测试充分性.已有CGF方法侧重覆盖率和对抗成功率,较少考虑样本的多样性和模型鲁棒性提升.本文提出... 基于覆盖引导的模糊测试(Coverage-Guided Fuzzing,CGF)广泛应用于深度神经网络(DNN)测试,通过生成覆盖率高的衍生测试样本以提升模型的测试充分性.已有CGF方法侧重覆盖率和对抗成功率,较少考虑样本的多样性和模型鲁棒性提升.本文提出了一种基于多样性引导的深度神经网络测试用例生成方法DeepGA,旨在有限时间内生成多样化的测试用例,并评估和提升模型的鲁棒性.该方法从训练集中提取代表性的图像特征分布构建聚簇中心,以最大化多样性轮廓系数作为目标函数,通过遗传算法和模糊测试的思想对初始种子集群采用真实的图像变异策略,迭代生成与不同类别在特征分布上相似的测试用例图像.为了验证所提方法的有效性,本文基于4个DNN模型和3种不同的数据集进行了实验,结果表明DeepGA可以生成多样化的测试用例,并且生成测试用例可用于重训练以进一步提高被测模型的鲁棒性.在鲁棒性提升方面,与基于6种覆盖引导的测试用例生成方法对比,准确率最高提升了11.44%. 展开更多
关键词 覆盖引导的模糊测试 深度神经网络测试 鲁棒性 测试用例生成
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一套英语试卷自动批阅系统的设计与实现
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作者 李静莹 《自动化技术与应用》 2026年第2期174-178,共5页
为提升教育机构英语试卷批阅的自动化水平,研究基于卷积神经网络和LeNet-3模型两项技术提出了一套英语试卷自动批阅系统,并通过MNIST手写数据集对该系统进行训练。为验证英语试卷自动批阅系统的有效性,专门为该系统建立软硬件运行环境... 为提升教育机构英语试卷批阅的自动化水平,研究基于卷积神经网络和LeNet-3模型两项技术提出了一套英语试卷自动批阅系统,并通过MNIST手写数据集对该系统进行训练。为验证英语试卷自动批阅系统的有效性,专门为该系统建立软硬件运行环境并通过accuracy_avg指标对系统模型图像识别的准确率进行评价。经试验研究发现,该系统所使用的LeNet-3模型能够在迭代300轮之后实现收敛,图像识别准确率高达98.677%。最后采用Python软件为自动批阅系统建立可视化的图形操作界面,并展示了操作界面设计效果。 展开更多
关键词 卷积神经网络 图像预处理 模型试验 系统实现 自动批阅系统
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The effect of moxibustion on cognitive attention network function of patients with mild cognitive impairment 被引量:6
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作者 Gang LIU Lei MA +5 位作者 Tong-he MIAO Jian-jian SUN Jia-jia WANG Kai WANG Qing-ping ZHANG Jun YANG 《World Journal of Acupuncture-Moxibustion》 CSCD 2020年第4期262-267,共6页
Objective:To explore the effect differences between moxibustion and donepezil hydrochloride on the attention network function of patients with mild cognitive impairment(MCI).Methods:A total of 64 patients of MCI were ... Objective:To explore the effect differences between moxibustion and donepezil hydrochloride on the attention network function of patients with mild cognitive impairment(MCI).Methods:A total of 64 patients of MCI were randomly divided into the moxibustion group and donepezil hydrochloride group,32 cases in each one.On the basis of conventional treatment,the patients in the moxibustion group were given moxibustion,6 times a week,and the patients in the donepezil hydrochloride group were given donepezil hydrochloride orally,5 mg/day.The course of treatment was 60 days for both of the groups.Cognitive attention network function and activities of daily living(ADL)score were examined before and after treatment.Results:The differences of alerting reaction time(RT),executive control RT,overall mean RT and accuracy of the moxibustion group after treatment were significantly higher than those of the donepezil hydrochloride group[alert:(60.3±3.3)ms vs(48.3±3.7)ms,P<0.05;executive control:(81.2±3.2)ms vs(91.7±4.2)ms,P<0.05;total reaction time:(500.4±17.2)ms vs(536.2±20.1)ms.P<0.05;accuracy:(83.7±4.6)%vs(77.4±4.3)%,P<0.05].After treatment,the ADL scores of the both groups were significantly higher than those before treatment[the moxibustion group:(56.47±4.02)points vs(41.53±4.06)points,P<0.05;the donepezil hydrochloride group:(50.75±4.05)points vs(40.84±3.67)points,P<0.05],and the ADL score of the moxibustion group was significantly higher than that of the donepezil hydrochloride group[(56.47±4.02)points vs(50.75±4.05)points,P<0.05].Conclusion:Compared with donepezil hydrochloride,moxibustion has a better effect on the cognitive function of MCI patients. 展开更多
关键词 MOXIBUSTION Mild cognitive impairment Attention network test
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持续性和灵活性注意力训练对稳定期精神分裂症患者注意力的效果研究
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作者 杨宏磊 赵荣荣 +4 位作者 刘振月 谢康 王群山 戈欣怡 李献云 《临床精神医学杂志》 2026年第1期63-67,共5页
目的:探究持续性和灵活性注意力训练对稳定期精神分裂症患者注意力的改善效果。方法:纳入55例稳定期精神分裂症患者。对其实施为期1个月的持续性和灵活性注意力训练任务,采用注意网络(attention network test,ANT)范式对被试者的注意力... 目的:探究持续性和灵活性注意力训练对稳定期精神分裂症患者注意力的改善效果。方法:纳入55例稳定期精神分裂症患者。对其实施为期1个月的持续性和灵活性注意力训练任务,采用注意网络(attention network test,ANT)范式对被试者的注意力进行测评,观察指标包括反应时和换算后的反应时(警觉网络、定向网络和执行控制网络)。结果:经过1个月的训练,在不同线索提示和刺激条件下,训练组稳定期精神分裂症患者的反应时较训练前差异有统计学意义(P<0.001);训练组的警觉网络(Z=-3.142,P=0.002)、定向网络(Z=4.099,P<0.001)和执行控制网络(Z=-2.300,P=0.021)差异均有统计学意义。结论:持续性和灵活性注意力训练任务对稳定期精神分裂症患者的警觉网络、定向网络和执行控制网络有显著改善效果。 展开更多
关键词 精神分裂症 注意力 注意力训练任务 注意网络范式 反应时
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基于GWO-BP神经网络的CFRP疲劳损伤超声导波监测算法
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作者 王博睿 高东岳 +2 位作者 顾海洋 丁梦珂 武湛君 《兵器装备工程学报》 北大核心 2026年第1期70-78,共9页
疲劳损伤是复合材料结构失效的主要原因之一,监测疲劳损伤的扩展情况对保障复合材料结构安全性具有重要意义。本文中提出一种基于GWO-BP神经网络和超声导波特征选择的复合材料结构损伤监测方法,首先利用压电陶瓷传感器网络收发超声导波... 疲劳损伤是复合材料结构失效的主要原因之一,监测疲劳损伤的扩展情况对保障复合材料结构安全性具有重要意义。本文中提出一种基于GWO-BP神经网络和超声导波特征选择的复合材料结构损伤监测方法,首先利用压电陶瓷传感器网络收发超声导波,构建与结构状态相关的超声导波信号空间;然后采用正交试验法执行信号特征选择,形成信号特征矩阵;进而利用GWO-BP神经网络训练全局最优化疲劳损伤识别模型,并通过疲劳试验数据集验证了所提方法对疲劳损伤定量监测的有效性。试验结果表明:构建的GWO-BP神经网络模型相对于BP神经网络模型具有更好的预测精度和更强的全局搜索能力,提出的疲劳损伤监测方法可以有效识别损伤扩展过程。 展开更多
关键词 结构健康监测 超声导波 机器学习 GWO-BP神经网络 正交试验
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基于扩展层次任务网络的航空装备分布式并行测试系统自适应任务分解方法
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作者 刘思齐 史贤俊 +2 位作者 丛林虎 张鹏 狄凌松 《兵器装备工程学报》 北大核心 2026年第2期190-200,共11页
针对现有测试任务分解方法在航空装备分布式并行测试系统中的局限性,基于航空装备分布式并行测试系统架构特点,构建了测试任务与资源模型,提出了一种基于扩展层次任务网络的自适应任务分解方法。首先,通过对层次任务网络引入领域知识库... 针对现有测试任务分解方法在航空装备分布式并行测试系统中的局限性,基于航空装备分布式并行测试系统架构特点,构建了测试任务与资源模型,提出了一种基于扩展层次任务网络的自适应任务分解方法。首先,通过对层次任务网络引入领域知识库与多策略分解机制,以解决资源种类与数量不确定性问题;其次,构建了任务粒度、耦合度、均衡度与适配度的量化模型,提出自适应分解流程;最后,建立了分解任务网络模型和分解方法流程图。实例验证表明:某型航空装备测试最终分解方案任务粒度、耦合度、均衡度和适配度均优于阈值。该方法通过系统建模和流程优化,显著提升了测试任务的分解精度与动态适应性,为航空装备分布式并行测试系统提供了可行的工程方案。 展开更多
关键词 航空装备 任务分解 层次任务网络 分布式 并行测试系统
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基于网络药理学和试验验证分析小檗碱抗金黄色葡萄球菌感染的分子机制
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作者 温馨 李永帅 +5 位作者 汪陆宇 赵研 孙静文 史慧君 付强 杨莉 《畜牧兽医学报》 北大核心 2026年第1期513-525,共13页
本研究旨在探究小檗碱(berberine,BBR)抗金黄色葡萄球菌(Staphylococcus aureus,S.aureus)感染的作用靶点及分子机制。首先基于网络药理学筛选BBR与S.aureus感染的共同靶点;构建PPI网络并进行GO/KEGG富集分析;通过分子对接验证BBR与核... 本研究旨在探究小檗碱(berberine,BBR)抗金黄色葡萄球菌(Staphylococcus aureus,S.aureus)感染的作用靶点及分子机制。首先基于网络药理学筛选BBR与S.aureus感染的共同靶点;构建PPI网络并进行GO/KEGG富集分析;通过分子对接验证BBR与核心靶点的结合活性;通过构建小鼠感染模型,利用组织切片观察肝脏和脾脏的病理变化,并通过qPCR验证筛选靶标基因的mRNA的表达量。结果表明:1)成功筛选出BBR与S.aureus之间共有109个交集靶点,通过网络药理学的分析最终获得了251个GO条目和62个KEGG条目,主要富集在MAPK、PI3K-Akt、GnRH等通路上,分子对接结果显示,BBR与交集靶点中Casp3和Jun等6个蛋白具有较好的结合能;2)BBR可缓解S.aureus的感染引起的肝脏组织病变;同时可显著上调小鼠肝脏中Casp3 mRNA的转录量,Jun mRNA的转录量。综上所述,本研究初步筛选出BBR发挥抗S.aureus的潜在靶点为Casp3和Jun,同时构建S.aureus感染小鼠模型,进一步证实BBR可通过调控Casp3和Jun的mRNA转录,缓解肝和脾的病变,本研究结果为BBR抗S.aureus感染药物的开发和应用提供理论依据。 展开更多
关键词 金黄色葡萄球菌 小檗碱 网络药理学 分子对接 动物试验
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42CrMo钢超声辅助滚挤压工艺参数优化
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作者 刘玲玲 付浩然 《锻压技术》 北大核心 2026年第2期161-170,共10页
为实现超声辅助滚挤压工艺参数的优化控制,设计了以工艺参数(转速、进给速度、振幅、静压力)为影响因素、以表层性能(表面粗糙度、残余应力、硬度)为响应值的4因素5水平正交试验。基于试验数据构建了RBF神经网络预测模型,并进行了准确... 为实现超声辅助滚挤压工艺参数的优化控制,设计了以工艺参数(转速、进给速度、振幅、静压力)为影响因素、以表层性能(表面粗糙度、残余应力、硬度)为响应值的4因素5水平正交试验。基于试验数据构建了RBF神经网络预测模型,并进行了准确性检验,解决了传统BP神经网络易陷入局部最优的问题;基于SPEA2SDE与NSGA-Ⅱ算法进行了二维双目标ZDT测试函数和三维多目标DTLZ测试函数的性能测试,并通过对比两种算法的Pareto前沿解证明了SPEA2SDE算法的优异性。最后进行了超声辅助滚挤压试验验证,优化后的表层性能最大误差均控制在5%以下,证明了优化算法的精确性。 展开更多
关键词 超声辅助滚挤压 RBF神经网络 SPEA2SDE算法 NSGA-Ⅱ算法 ZDT测试函数 DTLZ测试函数
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一种1394子卡测试设备的设计与实现
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作者 陈超 张昕月 张昊 《现代信息科技》 2026年第1期22-27,共6页
1394子卡是一种实现IEEE 1394B总线协议的板卡,在生产过程中需要经过大量测试来确定质量是否合格,传统手动测试的方式效率低、测试覆盖性差。文章提出一种针对1394子卡的测试设备设计方案,将1394子卡测试设备分为工控机、激励源、产品... 1394子卡是一种实现IEEE 1394B总线协议的板卡,在生产过程中需要经过大量测试来确定质量是否合格,传统手动测试的方式效率低、测试覆盖性差。文章提出一种针对1394子卡的测试设备设计方案,将1394子卡测试设备分为工控机、激励源、产品测试端以及电源几部分,分别从硬件、结构、软件等方面对测试设备的设计进行介绍。该设备实现了对1394子卡RN(Remote Node)功能的测试,实际测试及环境实验表明,测试设备功能、性能可靠,使用方便,人机界面友好,实用性好,对机载网络的测试具有重要意义。 展开更多
关键词 IEEE 1394B总线 RN 机载网络 测试设备
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煤矿综放采空区岩块自由堆积PNM重构分析
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作者 张洪硕 高科 +2 位作者 于健康 教授 李启文 《中国安全科学学报》 北大核心 2026年第2期153-162,共10页
为准确描述煤矿综放采空区内部自由堆积岩块状态及孔隙空间特性,引入孔隙网络模型(PNM),开展固定空间内岩块自由堆积切片试验和图像处理,利用OpenPNM和PoreSpy等开源包提取孔隙网络信息,三维可视化重构和定量表征孔隙网络模型,分析重构... 为准确描述煤矿综放采空区内部自由堆积岩块状态及孔隙空间特性,引入孔隙网络模型(PNM),开展固定空间内岩块自由堆积切片试验和图像处理,利用OpenPNM和PoreSpy等开源包提取孔隙网络信息,三维可视化重构和定量表征孔隙网络模型,分析重构模型拓扑结构的几何特性和统计特征。结果表明:随着固定空间内自由堆积岩块块度的增加,孔喉尺寸明显增大,平均直径由2.46和1.41 mm分别增至3.85和2.73 mm,与喉道长度的相关性较弱,其中孔喉数目由3146和6428分别减少至1043和2225,孔隙配位数集中在2~5,峰值为2,孔隙空间所占比例增大,多孔介质连通性增强;各拓扑性质参数整体上近似呈现正偏态分布,波峰偏左且数据集中值较小;计算两点相关函数得出原始图像数据和重建模型的孔隙度相对误差均在2.5%以内。 展开更多
关键词 煤矿综放采空区 岩块自由堆积 孔隙网络模型(PNM)重构 切片试验 图像处理 标记分水岭分割(SNOW)算法 提取孔隙网络(PNE)
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发动机转子叶片图像的边缘自动分割算法
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作者 鲁思朋 杨光 +2 位作者 马建徽 赵纪元 侯欣盟 《电子测量技术》 北大核心 2026年第3期185-193,共9页
转子叶片由于工作环境恶劣,十分容易发生形变,为了能监控转子叶片的边缘状态,提出了一种可以快速分割出转子叶片边缘的深度学习算法CACNet,一种进行边缘检测的卷积神经网络。由于转子叶片高能X射线图像噪声多,动态模糊较大,且高能X射线... 转子叶片由于工作环境恶劣,十分容易发生形变,为了能监控转子叶片的边缘状态,提出了一种可以快速分割出转子叶片边缘的深度学习算法CACNet,一种进行边缘检测的卷积神经网络。由于转子叶片高能X射线图像噪声多,动态模糊较大,且高能X射线透射带来的机匣内部结构伪影重叠在图像同一部分,导致待检测的图像质量极低。针对这种低质量的图像,使用改进过的自适应Canny算子来获得图像的粗略分割信息,用于辅助神经网络学习到更加准确的叶片边缘原始信息。模型采用多尺度的结构,能够将不同尺度下的分割信息进行融合,使得最终的结果更为清晰精准。为了进一步提高训练质量,引入了一种复合损失函数,可以精确地引导模型学习训练图像中正确的信息,使得最终模型在真实图像上表现的更加良好。实验结果表明,CACNet具备了快速高效检测处转子叶片边缘的能力。 展开更多
关键词 深度学习 边缘检测 无损检测 神经网络
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