Chinese Journal of Electronics最新文献_第9页

Towards Semi-Supervised Classification of Abnormal Spectrum Signals Based on Deep Learning 基于深度学习实现异常频谱信号的半监督分类

IF 1.2 4区计算机科学

Chinese Journal of Electronics Pub Date : 2024-03-31 DOI: 10.23919/cje.2022.00.395

Tao Jiang;Wanqing Chen;Hangping Zhou;Jinyang He;Peihan Qi

{"title":"Towards Semi-Supervised Classification of Abnormal Spectrum Signals Based on Deep Learning","authors":"Tao Jiang;Wanqing Chen;Hangping Zhou;Jinyang He;Peihan Qi","doi":"10.23919/cje.2022.00.395","DOIUrl":"https://doi.org/10.23919/cje.2022.00.395","url":null,"abstract":"In order to cope with the heavy labor cost challenge of the manual abnormal spectrum classification and improve the effectiveness of existing machine learning schemes for spectral datasets with interference-to-signal ratios, we proposes a semi-supervised classification of abnormal spectrum signals (SSC-ASS), aimed at addressing some of the challenges in abnormal spectrum signal (ASS) classification tasks. A significant advantage of SSC-ASS is that it does not require manual labeling of every abnormal data, but instead achieves high-precision classification of ASSs using only a small number of labeled data. Furthermore, the method can to some extent avoid the introduction of erroneous information resulting from the complex and variable nature of abnormal signals, thereby improving classification accuracy. Specifically, SSC-ASS uses a memory AutoEncoder module to efficiently extract features from abnormal spectrum signals by learning from the reconstruction error. Additionally, SSC-ASS combines convolutional neural network and the \u0000<tex>$K$</tex>\u0000-means using a DeepCluster framework to fully utilize the unlabeled data. Furthermore, SSC-ASS also utilizes pre-training, category mean memory module and replaces pseudo-labels to further improve the classification accuracy of ASSs. And we verify the classification effectiveness of SSC-ASS on synthetic spectrum datasets and real on-air spectrum dataset.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"33 3","pages":"721-731"},"PeriodicalIF":1.2,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10543217","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141187371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Vibration-Based Fault Diagnosis for Railway Point Machines Using VMD and Multiscale Fluctuation-Based Dispersion Entropy 利用 VMD 和基于多尺度波动的离散熵对铁路点式机械进行基于振动的故障诊断

IF 1.2 4区计算机科学

Chinese Journal of Electronics Pub Date : 2024-03-31 DOI: 10.23919/cje.2022.00.075

Yongkui Sun;Yuan Cao;Peng Li;Guo Xie;Tao Wen;Shuai Su

{"title":"Vibration-Based Fault Diagnosis for Railway Point Machines Using VMD and Multiscale Fluctuation-Based Dispersion Entropy","authors":"Yongkui Sun;Yuan Cao;Peng Li;Guo Xie;Tao Wen;Shuai Su","doi":"10.23919/cje.2022.00.075","DOIUrl":"https://doi.org/10.23919/cje.2022.00.075","url":null,"abstract":"As one of the most important railway signaling equipment, railway point machines undertake the major task of ensuring train operation safety. Thus fault diagnosis for railway point machines becomes a hot topic. Considering the advantage of the anti-interference characteristics of vibration signals, this paper proposes an novel intelligent fault diagnosis method for railway point machines based on vibration signals. A feature extraction method combining variational mode decomposition (VMD) and multiscale fluctuation-based dispersion entropy is developed, which is verified a more effective tool for feature selection. Then, a two-stage feature selection method based on Fisher discrimination and ReliefF is proposed, which is validated more powerful than single feature selection methods. Finally, support vector machine is utilized for fault diagnosis. Experiment comparisons show that the proposed method performs best. The diagnosis accuracies of normal-reverse and reverse-normal switching processes reach 100% and 96.57% respectively. Especially, it is a try to use new means for fault diagnosis on railway point machines, which can also provide references for similar fields.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"33 3","pages":"803-813"},"PeriodicalIF":1.2,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10543237","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141187372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Survey on Fake Information Generation, Dissemination and Detection 关于虚假信息生成、传播和检测的调查

IF 1.2 4区计算机科学

Chinese Journal of Electronics Pub Date : 2024-03-31 DOI: 10.23919/cje.2022.00.362

Wanqiu Cui;Dawei Wang;Na Han

引用次数: 0

IF 1.2 4区计算机科学

Chinese Journal of Electronics Pub Date : 2024-03-31 DOI: 10.23919/cje.2022.00.383

Jiamei Liu;Lin Tan;Hong Xu

{"title":"New Related-Tweakey Boomerang Attacks and Distinguishers on Deoxys-BC","authors":"Jiamei Liu;Lin Tan;Hong Xu","doi":"10.23919/cje.2022.00.383","DOIUrl":"https://doi.org/10.23919/cje.2022.00.383","url":null,"abstract":"Deoxys-BC is the primitive tweakable block cipher of the Deoxys family of authenticated encryption schemes. Based on existing related-tweakey boomerang distinguishers, this paper improves the boomerang attacks on 11-round Deoxys-BC-256 and 13-round Deoxys-BC-384 by the optimized key guessing and the precomputation technique. It transfers a part of subtweakey guess in the key-recovery phase to the precomputation resulting in a significant reduction of the overall time complexity. For 11-round Deoxys-BC-256, we give a related-tweakey boomerang attack with time/data/memory complexities of \u0000<tex>$2^{218.6}/2^{125.7}/2^{125.7}$</tex>\u0000, and give another attack with the less time complexity of \u0000<tex>$2^{215.8}$</tex>\u0000 and memory complexity of \u0000<tex>$2^{120}$</tex>\u0000 when the adversary has access to the full codebook. For 13-round Deoxys-BC-384, we give a related-tweakey boomerang attack with time/data/memory complexities of \u0000<tex>$2^{k-96}+2^{157.5}/2^{120.4}/2^{113}$</tex>\u0000. For the key size \u0000<tex>$k=256$</tex>\u0000, it reduces the time complexity by a factor of \u0000<tex>$2^{31}$</tex>\u0000 compared with the previous 13-round boomerang attack. In addition, we present two new related-tweakey boomerang distinguishers on 11-round Deoxys-BC-384 with the same probability as the best previous distinguisher.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"33 3","pages":"683-693"},"PeriodicalIF":1.2,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10543216","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141187436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Survey on Graph Neural Network Acceleration: A Hardware Perspective 图神经网络加速调查：硬件视角

IF 1.2 4区计算机科学

Chinese Journal of Electronics Pub Date : 2024-03-31 DOI: 10.23919/cje.2023.00.135

Shi Chen;Jingyu Liu;Li Shen

引用次数: 0

Performance Study of MIMO-OSTBC Parallel Relay FSO System Based on GFDM 基于 GFDM 的 MIMO-OSTBC 并行中继 FSO 系统性能研究

IF 1.2 4区计算机科学

Chinese Journal of Electronics Pub Date : 2024-03-01 DOI: 10.23919/cje.2022.00.069

Rui Zhou;Yong Wang;Yi Wang;Yaxin Zhang

引用次数: 0

An Effective Power Optimization Approach Based on Whale Optimization Algorithm with Two-Populations and Mutation Strategies 基于双种群和突变策略鲸鱼优化算法的有效功率优化方法

IF 1.2 4区计算机科学

Chinese Journal of Electronics Pub Date : 2024-03-01 DOI: 10.23919/cje.2022.00.358

Juncai He;Zhenxue He;Jia Liu;Yan Zhang;Fan Zhang;Fangfang Liang;Tao Wang;Limin Xiao;Xiang Wang;Jianguo Hu

{"title":"An Effective Power Optimization Approach Based on Whale Optimization Algorithm with Two-Populations and Mutation Strategies","authors":"Juncai He;Zhenxue He;Jia Liu;Yan Zhang;Fan Zhang;Fangfang Liang;Tao Wang;Limin Xiao;Xiang Wang;Jianguo Hu","doi":"10.23919/cje.2022.00.358","DOIUrl":"https://doi.org/10.23919/cje.2022.00.358","url":null,"abstract":"Power is an issue that must be considered in the design of logic circuits. Power optimization is a combinatorial optimization problem, since it is necessary to search for a logical expression that consumes the least amount of power from a large number of Reed-Muller (RM) logical expressions. The existing approach for optimizing the power of multi-output mixed polarity RM (MPRM) logic circuits suffer from poor optimization results. To solve this problem, a whale optimization algorithm with two-populations strategy and mutation strategy (TMWOA) is proposed in this paper. The two-populations strategy speeds up the convergence of the algorithm by exchanging information about the two-populations. The mutation strategy enhances the ability of the algorithm to jump out of the local optimal solutions by using the information of the current optimal solution. Based on the TMWOA, we propose a multi-output MPRM logic circuits power optimization approach (TMMPOA). Experiments based on the benchmark circuits of the Microelectronics Center of North Carolina (MCNC) validate the effectiveness and superiority of the proposed TMMPOA.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"33 2","pages":"423-435"},"PeriodicalIF":1.2,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10488054","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140342782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Novel Approach of Electromagnetic Compatibility Conducted Susceptibility Analysis Based on Gaussian Even Pulse Signal 基于高斯偶脉冲信号的电磁兼容传导感应性分析新方法

IF 1.2 4区计算机科学

Chinese Journal of Electronics Pub Date : 2024-03-01 DOI: 10.23919/cje.2022.00.298

Youwei Meng;Yanhua Peng;Haoyang Zhang;Lilin Li;Donglin Su;Yinghong Wen

引用次数: 0

Wide Stopband Substrate Integrated Waveguide Filter Using Bisection and Trisection Coupling in Multilayer 利用多层中的二分和三分耦合技术实现宽阻带基底集成波导滤波器

IF 1.2 4区计算机科学

Chinese Journal of Electronics Pub Date : 2024-03-01 DOI: 10.23919/cje.2023.00.027

Peng Chu;Jianguo Feng;Peng Zhu;Lei Guo;Long Zhang;Leilei Liu;Guoqing Luo;Ke Wu;Shilong Pan

引用次数: 0

Analytical Models of on-Chip Hardware Trojan Detection Based on Radiated Emission Characteristics 基于辐射发射特性的片上硬件木马检测分析模型

IF 1.2 4区计算机科学

Chinese Journal of Electronics Pub Date : 2024-03-01 DOI: 10.23919/cje.2022.00.310

Fan Zhang;Dongrong Zhang;Qiang Ren;Aixin Chen;Donglin Su;Yikai Chen

引用次数: 0