Chinese Journal of Electronics最新文献_第9页

Exploring Potential Barrier Estimation Mechanism Based on Quantum Dynamics Framework 基于量子动力学框架的势垒估计机制探讨

IF 1.6 4区计算机科学

Chinese Journal of Electronics Pub Date : 2025-01-01 DOI: 10.23919/cje.2023.00.293

Quan Tang;Peng Wang

{"title":"Exploring Potential Barrier Estimation Mechanism Based on Quantum Dynamics Framework","authors":"Quan Tang;Peng Wang","doi":"10.23919/cje.2023.00.293","DOIUrl":"https://doi.org/10.23919/cje.2023.00.293","url":null,"abstract":"Due to the probability characteristics of quantum mechanism, the combination of quantum mechanism and intelligent algorithm has received wide attention. Quantum dynamics theory uses the Schrödinger equation as a quantum dynamics equation. Through three approximation of the objective function, quantum dynamics framework (QDF) is obtained which describes basic iterative operations of optimization algorithms. Based on QDF, this paper proposes a potential barrier estimation (PBE) method which originates from quantum mechanism. With the proposed method, the particle can accept inferior solutions during the sampling process according to a probability which is subject to the quantum tunneling effect, to improve the global search capacity of optimization algorithms. The effectiveness of the proposed method in the ability of escaping local minima was thoroughly investigated through double well function (DWF), and experiments on two benchmark functions sets show that this method significantly improves the optimization performance of high dimensional complex functions. The PBE method is quantized and easily transplanted to other algorithms to achieve high performance in the future.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"34 1","pages":"350-364"},"PeriodicalIF":1.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10891997","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143446236","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 Study of Epileptogenic Foci Localization Algorithm Based on Automatic Detection of Comprehensive Feature HFOs and RF-LR 基于综合特征HFOs和RF-LR自动检测的致痫病灶定位算法研究

IF 1.6 4区计算机科学

Chinese Journal of Electronics Pub Date : 2025-01-01 DOI: 10.23919/cje.2023.00.213

Yuxiao Du;Gaoming Li

{"title":"A Study of Epileptogenic Foci Localization Algorithm Based on Automatic Detection of Comprehensive Feature HFOs and RF-LR","authors":"Yuxiao Du;Gaoming Li","doi":"10.23919/cje.2023.00.213","DOIUrl":"https://doi.org/10.23919/cje.2023.00.213","url":null,"abstract":"Studies have shown that fast ripples of 250–500 Hz in epileptic electroencephalography (EEG) signals are more pathological and closer to the epileptogenic focus itself compared to ripples of 80–250 Hz. However, artifacts of fast ripples and high-frequency oscillations (HFOs) are easily confused and difficult to discriminate, and manual visual screening is both time-consuming and unable to avoid subjectivity. To this end, this paper presents a method for localizing epileptogenic foci based on the automatic detection of integrated feature HFOs and random forest-logistic regression (RF-LR). In this paper, we first extract multivariate features from the preprocessed epileptic EEG signals, and use the random forest algorithm to filter out three features with high importance, based on which, suspicious leads containing HFOs are identified. Then, wavelet time-frequency maps were used for the primary screening of suspected leads to improve the signal calibration efficiency and further localize HFOs in time and frequency. Finally, a logistic regression model was used to automatically classify and identify ripples and fast ripples in HFOs. The results show that the sensitivity, specificity, and accuracy of the model for detecting ripple are 89.37%, 88.26%, and 90.1%, respectively; the sensitivity, specificity, and accuracy for detecting fast ripple are 94.31%, 94.83%, and 93.46%, respectively. Compared with single features, the multivariate features in this paper more comprehensively characterize the complex epileptic EEG signals and provide more accurate information for the localization of epileptogenic foci. The automatic detection algorithm of HFOs proposed in this paper can analyze a large amount of data in a short time and has a good detection performance, which can help clinicians accurately determine the region of epileptogenic foci.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"34 1","pages":"338-349"},"PeriodicalIF":1.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10891998","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143446299","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

Comparative Analysis of Noise Margin Between Pure SET-SET and Hybrid SET-PMOS Inverters 纯SET-SET与混合SET-PMOS逆变器噪声裕度的比较分析

IF 1.6 4区计算机科学

Chinese Journal of Electronics Pub Date : 2025-01-01 DOI: 10.23919/cje.2023.00.287

Fan Zhang;Yi Liu;Yibo Wang;Minghu Wu;Sheng Hu;Youli Dong

{"title":"Comparative Analysis of Noise Margin Between Pure SET-SET and Hybrid SET-PMOS Inverters","authors":"Fan Zhang;Yi Liu;Yibo Wang;Minghu Wu;Sheng Hu;Youli Dong","doi":"10.23919/cje.2023.00.287","DOIUrl":"https://doi.org/10.23919/cje.2023.00.287","url":null,"abstract":"Single-electron transistor (SET) is considered as one of the promising candidates for future electronic devices due to its advantages of low power consumption and high integration. The comparative analysis of SET-based inverters, especially the noise margin, is carried out. Pure SET-SET and hybrid SET with p type metal oxide semiconductor (SET-PMOS) inverters are designed for investigation. The effects of SET supply voltage, junction resistance and junction capacitance on noise tolerance and power consumption of inverters are studied. For hybrid SET-PMOS inverters, the noise margin for a logic high (NMH) is less than 60 mV under various conditions, which may become the bottleneck of its application. For pure SET-SET inverters, both NMH and the noise margin for a logic low (NML) could reach 300 mV at a supply voltage of 0.8 V. The minimum power consumption of pure SET-SET and hybrid SET-PMOS inverters is 2.85 nW and 58 nW, respectively. The pure SET-SET inverters have greater noise tolerance and lower power consumption, which is more conducive to large-scale integration. When junction capacitance <tex>$C_{mathrm{J}}=0.0273 text{aF}$</tex> and junction resistance <tex>$R_{mathrm{T}}geq 1 mathrm{M}Omega$</tex> in SET-SET inverters at a supply voltage of 0.8 V, the NMH and NML are not significantly affected by the junction resistance and the noise margin fluctuates at 300 mV.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"34 1","pages":"146-155"},"PeriodicalIF":1.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10891966","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143438400","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

Study on the Impact of Imbalance Between Transmission Lines on Crosstalk: A Novel Perspective of Displacement Current 传输线间不平衡对串扰影响的研究：位移电流的新视角

IF 1.6 4区计算机科学

Chinese Journal of Electronics Pub Date : 2025-01-01 DOI: 10.23919/cje.2024.00.049

Xiaozhu Lu;Lingnan Song;Hui Xu;Donglin Su

引用次数: 0

Research on Low-Frequency Multi-Directional Piezoelectric Energy Harvester with Combined Cantilever Beam 组合悬臂梁低频多向压电能量采集器的研究

IF 1.6 4区计算机科学

Chinese Journal of Electronics Pub Date : 2025-01-01 DOI: 10.23919/cje.2023.00.351

Qingying Ren;Yuxuan Liu;Debo Wang

引用次数: 0

A Local Differential Privacy Hybrid Data Clustering Iterative Algorithm for Edge Computing 用于边缘计算的局部差分隐私混合数据聚类迭代算法

IF 1.6 4区计算机科学

Chinese Journal of Electronics Pub Date : 2024-11-11 DOI: 10.23919/cje.2023.00.332

Yousheng Zhou;Zhonghan Wang;Yuanni Liu

{"title":"A Local Differential Privacy Hybrid Data Clustering Iterative Algorithm for Edge Computing","authors":"Yousheng Zhou;Zhonghan Wang;Yuanni Liu","doi":"10.23919/cje.2023.00.332","DOIUrl":"https://doi.org/10.23919/cje.2023.00.332","url":null,"abstract":"As a new computing method, edge computing not only improves the computing efficiency and processing power of data, but also reduces the transmission delay of data. Due to the wide variety of edge devices and the increasing amount of terminal data, third-party data centers are unable to ensure no user privacy data leaked. To solve these problems, this paper proposes an iterative clustering algorithm named local differential privacy iterative aggregation (LDPIA) based on localized differential privacy, which implements local differential privacy. To address the problem of uncertainty in numerical types of mixed data, random perturbation is applied to the user data at the attribute category level. The server then performs clustering on the perturbed data, and density threshold and disturbance probability are introduced to update the cluster point set iteratively. In addition, a new distance calculation formula is defined in combination with attribute weights to ensure the availability of data. The experimental results show that LDPIA algorithm achieves better privacy protection and availability simultaneously.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"33 6","pages":"1421-1434"},"PeriodicalIF":1.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10748533","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600158","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

Knowledge Graph Completion Method of Combining Structural Information with Semantic Information 将结构信息与语义信息相结合的知识图谱补全方法

IF 1.6 4区计算机科学

Chinese Journal of Electronics Pub Date : 2024-11-11 DOI: 10.23919/cje.2022.00.299

Binhao Hu;Jianpeng Zhang;Hongchang Chen

{"title":"Knowledge Graph Completion Method of Combining Structural Information with Semantic Information","authors":"Binhao Hu;Jianpeng Zhang;Hongchang Chen","doi":"10.23919/cje.2022.00.299","DOIUrl":"https://doi.org/10.23919/cje.2022.00.299","url":null,"abstract":"With the development of knowledge graphs, a series of applications based on knowledge graphs have emerged. The incompleteness of knowledge graphs makes the effect of the downstream applications affected by the quality of the knowledge graphs. To improve the quality of knowledge graphs, translation-based graph embeddings such as TransE, learn structural information by representing triples as low-dimensional dense vectors. However, it is difficult to generalize to the unseen entities that are not observed during training but appear during testing. Other methods use the powerful representational ability of pre-trained language models to learn entity descriptions and contextual representation of triples. Although they are robust to incompleteness, they need to calculate the score of all candidate entities for each triple during inference. We consider combining two models to enhance the robustness of unseen entities by semantic information, and prevent combined explosion by reducing inference overhead through structured information. We use a pre-training language model to code triples and learn the semantic information within them, and use a hyperbolic space-based distance model to learn structural information, then integrate the two types of information together. We evaluate our model by performing link prediction experiments on standard datasets. The experimental results show that our model achieves better performances than state-of-the-art methods on two standard datasets.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"33 6","pages":"1412-1420"},"PeriodicalIF":1.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10748382","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600345","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

FMR-GNet: Forward Mix-Hop Spatial-Temporal Residual Graph Network for 3D Pose Estimation FMR-GNet：用于三维姿态估计的前向混合跳转时空残差图网络

IF 1.6 4区计算机科学

Chinese Journal of Electronics Pub Date : 2024-11-11 DOI: 10.23919/cje.2022.00.365

Honghong Yang;Hongxi Liu;Yumei Zhang;Xiaojun Wu

{"title":"FMR-GNet: Forward Mix-Hop Spatial-Temporal Residual Graph Network for 3D Pose Estimation","authors":"Honghong Yang;Hongxi Liu;Yumei Zhang;Xiaojun Wu","doi":"10.23919/cje.2022.00.365","DOIUrl":"https://doi.org/10.23919/cje.2022.00.365","url":null,"abstract":"Graph convolutional networks that leverage spatial-temporal information from skeletal data have emerged as a popular approach for 3D human pose estimation. However, comprehensively modeling consistent spatial-temporal dependencies among the body joints remains a challenging task. Current approaches are limited by performing graph convolutions solely on immediate neighbors, deploying separate spatial or temporal modules, and utilizing single-pass feedforward architectures. To solve these limitations, we propose a forward multi-scale residual graph convolutional network (FMR-GNet) for 3D pose estimation from monocular video. First, we introduce a mix-hop spatial-temporal attention graph convolution layer that effectively aggregates neighboring features with learnable weights over large receptive fields. The attention mechanism enables dynamically computing edge weights at each layer. Second, we devise a cross-domain spatial-temporal residual module to fuse multi-scale spatial-temporal convolutional features through residual connections, explicitly modeling interdependencies across spatial and temporal domains. Third, we integrate a forward dense connection block to propagate spatial-temporal representations across network layers, enabling high-level semantic skeleton information to enrich lower-level features. Comprehensive experiments conducted on two challenging 3D human pose estimation benchmarks, namely Human3.6M and MPI-INF-3DHP, demonstrate that the proposed FMR-GNet achieves superior performance, surpassing the most state-of-the-art methods.","PeriodicalId":50701,"journal":{"name":"Chinese Journal of Electronics","volume":"33 6","pages":"1346-1359"},"PeriodicalIF":1.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10748551","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600378","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

Theoretical Research on a D-Band Traveling Wave Extended Interaction Amplifier D 波段行波扩展交互放大器的理论研究

IF 1.6 4区计算机科学

Chinese Journal of Electronics Pub Date : 2024-11-11 DOI: 10.23919/cje.2022.00.345

Zhongtao Cui;Xuesong Yuan;Xiaotao Xu;Dongrui Chen;Yifan Zu;Matthew Thomas Cole;Qingyun Chen;Yang Yan

引用次数: 0

Service Migration Algorithm Based on Markov Decision Process with Multiple Service Types and Multiple System Factors 基于马尔可夫决策过程与多种服务类型和多种系统因素的服务迁移算法

IF 1.6 4区计算机科学

Chinese Journal of Electronics Pub Date : 2024-11-11 DOI: 10.23919/cje.2022.00.128

Anhua Ma;Su Pan;Weiwei Zhou

引用次数: 0