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基于ACC及自决策dropout的窃电检测方法
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作者 贾旭超 凌卜 +3 位作者 纪书军 刘安磊 姜涛 张恒 《国外电子测量技术》 2025年第8期196-202,共7页
为提高窃电检测的准确性和实时性,提出了改进蚁群聚类-长短期记忆网络(Ant Colony Clustering-Long Short-Term Memory,ACC-LSTM)算法。该算法将长短期记忆网络(Long Short-Term Memory,LSTM)与蚁群聚类(Ant Colony Clustering,ACC)进... 为提高窃电检测的准确性和实时性,提出了改进蚁群聚类-长短期记忆网络(Ant Colony Clustering-Long Short-Term Memory,ACC-LSTM)算法。该算法将长短期记忆网络(Long Short-Term Memory,LSTM)与蚁群聚类(Ant Colony Clustering,ACC)进行结合,以提高其对隐藏特征的提取效果,然后根据反向传播(Back-propagation,BP)算法设计了一种簇类中心更新方法,并引入了自决策dropout机制,以动态决定样本在类簇内的作用。其中LSTM凭借独特门控机制学习用电数据的长期依赖关系,精准提取电压、电流等参数中的隐藏特征,ACC则利用良好的并行性与自适应能力对提取的特征进行聚类,初步识别窃电数据。自决策dropout机制则负责动态判断样本在类簇内的作用。实验结果表明:改进ACC-LSTM算法的平均周期检测准确率和平均用户检测准确率分别为0.993和0.985,均优于其他算法。在异常检测准确率和F 1-Score方面,改进ACC-LSTM的平均值分别为92.4%和0.966,同样高于其他方法。此外,改进ACC-LSTM的平均灵敏度和平均特异度分别为0.961和0.962,均高于其他方法。同时,其AUC和平均检测速度分别为0.955和1862 obs/s,远高于其他方法。因此,改进ACC-LSTM算法在窃电检测中表现出色,能够实现高精度和快速的实时检测,具有重要的实际应用价值。 展开更多
关键词 窃电检测 蚁群聚类 长短期记忆网络 自决策dropout
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Antigenic Drift of the Hemagglutinin from an Influenza A(H1N1) pdm09 Clinical Isolate Increases its Pathogenicity In Vitro 被引量:2
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作者 Lei Xing Yunbo Chen +11 位作者 Boqian Chen ling bu Ying Liu Zhiqi Zeng Wenda Guan Qigao Chen Yongping Lin Kun Qin Honglin Chen Xilong Deng Xinhua Wang Wenjun Song 《Virologica Sinica》 SCIE CAS CSCD 2021年第5期1220-1227,共8页
The influenza A(H1 N1)pdm09 virus emerged in 2009 and has been continuously circulating in humans for over ten years.Here,we analyzed a clinical influenza A(H1 N1)pdm09-infected patient case hospitalized for two month... The influenza A(H1 N1)pdm09 virus emerged in 2009 and has been continuously circulating in humans for over ten years.Here,we analyzed a clinical influenza A(H1 N1)pdm09-infected patient case hospitalized for two months in Guangdong(from December 14,2019 to February 15,2020).This isolate,named A/Guangdong/LCF/2019(LCF/19),was genetically sequenced,rescued by reverse genetics,and phylogenetically analyzed in the context of other relevant pdm09 isolates.Compared with earlier isolates,this pdm09 virus’s genetic sequence contains four substitutions,S186 P,T188 I,D190 A,and Q192 E,of the hemagglutinin(HA)segment at position 186–192(H3 numbering)in the epitope Sb,and two of which are located at the 190-helix.Phylogenetic analysis indicated that the epitope Sb started undergoing a rapid antigenic change in2018.To characterize the pathogenicity of this novel substitution motif,a panel of reassortant viruses containing the LCF/2019 HA segment or the chimeric HA segment with the four substitutions were rescued.Kinetic growth data revealed that the reassortant viruses,including the LCF/2019 with the PTIAAQE substitution,propagated faster than those rescued ones having the STTADQQ motif in the epitope Sb in Madin-Darby Canine Kidney(MDCK)cells.The HI test showed that the binding activity of escape mutant to 2018 pdm09 sera was weaker than GLW/2018,suggesting that old vaccines might not effectively protect people from infection.Due to the difference in the selection of vaccine strains,people vaccinated in the southern hemisphere could still suffer a severe infection if infected with this antigenic drift pdm09 virus. 展开更多
关键词 HA antigenic drift Influenza A(H1N1)pdm09 virus HA epitope Sb
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供电营业厅智能运维管理系统的关键技术与应用研究
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作者 李军伟 张博 +2 位作者 凌卜 杨凯 辛鑫 《电力系统装备》 2024年第7期142-144,共3页
供电营业厅作为电力行业的重要组成部分,承担着电力供应、用户服务及设备维护等关键职责。随着电力行业的不断发展,传统运维管理方法已难以满足日益增长的需求,迫切需要引入智能化技术来提升运维效率,降低运维成本,提高服务质量。文章... 供电营业厅作为电力行业的重要组成部分,承担着电力供应、用户服务及设备维护等关键职责。随着电力行业的不断发展,传统运维管理方法已难以满足日益增长的需求,迫切需要引入智能化技术来提升运维效率,降低运维成本,提高服务质量。文章旨在探究供电营业厅智能运维管理系统的关键技术和应用,以应对当前运维管理中存在的诸多挑战。 展开更多
关键词 运维管理系统 供电营业厅 技术
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Multimodal MEMS vibration energy harvester with cascaded flexible and silicon beams for ultralow frequency response 被引量:2
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作者 Haizhao Feng ling bu +5 位作者 Zhangshanhao Li Sixing Xu Bingmeng Hu Minghao Xu Siyao Jiang Xiaohong Wan 《Microsystems & Nanoengineering》 SCIE CSCD 2023年第2期205-217,共13页
Scavenged energy from ambient vibrations has become a promising energy supply for autonomous microsystems.However,restricted by device size,most MEMS vibration energy harvesters have much higher resonant frequencies t... Scavenged energy from ambient vibrations has become a promising energy supply for autonomous microsystems.However,restricted by device size,most MEMS vibration energy harvesters have much higher resonant frequencies than environmental vibrations,which reduces scavenged power and limits practical applicability.Herein,we propose a MEMS multimodal vibration energy harvester with specifically cascaded flexible PDMS and"zigzag"silicon beams to simultaneously lower the resonant frequency to the ultralow-frequency level and broaden the bandwidth.A two-stage architecture is designed,in which the primary subsystem consists of suspended PDMS beams characterized by a low Young's modulus,and the secondary system consists of zigzag silicon beams.We also propose a PDMS lift-off process to fabricate the suspended flexible beams and the compatible microfabrication method shows high yield and good repeatability.The fabricated MEMS energy harvester can operate at ultralow resonant frequencies of 3 and 23 Hz,with an NPD index of 1.73μW/cm^(3)/g^(2)@3 Hz.The factors underlying output power degradation in the low-frequency range and potential enhancement strategies are discussed.This work offers new insights into achieving MEMS-scale energy harvesting with ultralow frequency response. 展开更多
关键词 energy HARVEST HARVESTING
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