IEEJ Transactions on Electrical and Electronic Engineering最新文献_第10页

A Novel Area Efficient and High-Speed BCD Adder Using CFA and Multiplexer in Quantum-Dot Cellular Automata 量子点元胞自动机中一种基于CFA和多路复用器的高效率高效率高速BCD加法器

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2025-07-26 DOI: 10.1002/tee.70111

Nagarjuna Telagam, D. Ajitha, S. M. Prabin, B. Srikanth, Nehru Kandasamy

{"title":"A Novel Area Efficient and High-Speed BCD Adder Using CFA and Multiplexer in Quantum-Dot Cellular Automata","authors":"Nagarjuna Telagam, D. Ajitha, S. M. Prabin, B. Srikanth, Nehru Kandasamy","doi":"10.1002/tee.70111","DOIUrl":"https://doi.org/10.1002/tee.70111","url":null,"abstract":"This paper proposes a new enhanced Single Digit BCD Adder (SDBA) to perform decimal addition optimally. Quantum-dot Cellular Automata (QCA) will construct nanostructured arithmetic circuits for future computing. One of the vital structures in arithmetic structures is the Binary Coded Decimal (BCD)/Decimal Adder. The existing Decimal Adders require many cells and consume more delay, which makes the circuit inefficient in doing decimal addition faster. The binary adder structures are more significant in deciding the performance of conventional BCD adders. Multiplexers are used in the proposed BCD adder to enhance the speed with less complexity. The main contribution of the proposed SDBA design is to replace the final part of the conventional structure Carry Flow Adder (CFA) based BCD adder with a multiplexer, which improves the speed and increases the regularity of the structure. The multiplexers perform the binary to decimal sum conversion in parallel rather than the carry rippling in the lower part of the standard circuit. The SDBA uses the optimized CFA Type-II binary adder and new logic with a 2:1 multiplexer. Furthermore, the proposed BCD adder is an optimized design in terms of delay, which requires 2.75 clock cycles only compared to the recent designs. © 2025 The Author(s). IEEJ Transactions on Electrical and Electronic Engineering published by Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 2","pages":"226-234"},"PeriodicalIF":1.1,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/tee.70111","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145970220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-Objective Comprehensive Approach for Flexible Assembly Job Shop Scheduling Problem with AGVs agv柔性装配作业车间调度问题的多目标综合方法

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2025-07-25 DOI: 10.1002/tee.70114

Haofan Yang, Shigeru Fujimura

{"title":"Multi-Objective Comprehensive Approach for Flexible Assembly Job Shop Scheduling Problem with AGVs","authors":"Haofan Yang, Shigeru Fujimura","doi":"10.1002/tee.70114","DOIUrl":"https://doi.org/10.1002/tee.70114","url":null,"abstract":"This paper addresses the comprehensive scheduling problem in a flexible assembly job shop with AGV handling (FAJSP-AGVs), where machining processes and assembly activities between different processes are conducted. A mathematical model is established with objectives to minimize makespan, total machine energy consumption, and AGV working time. An improved adaptive NSGA-II algorithm (IA-NSGA-II) is proposed, incorporating a process constraint matrix-based encoding method, adaptive crossover and mutation operators, and a variable neighborhood search (VNS) to avoid local optima. Simulation experiments validate the effectiveness of the proposed algorithm, showing superior performance compared to existing methods such as INSGA-II and IGA. An ablation study further demonstrates the contributions of the adaptive probability mechanism and VNS, highlighting their roles in enhancing solution quality and avoiding local optima. The proposed method is also tested in dynamic rescheduling scenarios, demonstrating its stability and adaptability in handling machine breakdowns. Experimental results indicate that IA-NSGA-II achieves better scheduling outcomes with shorter makespan, lower energy consumption, and reduced AGV working time. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 2","pages":"235-248"},"PeriodicalIF":1.1,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145969954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on Hot Spot Temperature Inversion Method of Cable Intermediate Joints Based on Finite Element and Optimized BP Neural Network Method 基于有限元和优化BP神经网络的电缆中间接头热点温度反演方法研究

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2025-07-23 DOI: 10.1002/tee.70103

Fating Yuan, Huqiang Li, Haoyue Li, Shengkai Jian, Yuqing Jiang

{"title":"Research on Hot Spot Temperature Inversion Method of Cable Intermediate Joints Based on Finite Element and Optimized BP Neural Network Method","authors":"Fating Yuan, Huqiang Li, Haoyue Li, Shengkai Jian, Yuqing Jiang","doi":"10.1002/tee.70103","DOIUrl":"10.1002/tee.70103","url":null,"abstract":"The cable intermediate joint plays a crucial role in power cable systems, as its temperature directly impacts insulation performance and longevity. Predicting temperature accurately poses challenges for operation and maintenance. This study introduces a model for electromagnetic-thermal coupling of a 110 kV single-core high voltage cable, enabling numerical simulation to determine temperature distributions within the cable body and middle joint. By employing a hybrid orthogonal design approach, training and test samples are generated from simulated temperature field data. Conductor current, ambient temperature, convective heat transfer coefficient, and insulation thermal conductivity coefficient of the intermediate joint are chosen as variables to compile the dataset. An inverse model-based prediction method is developed using a firefly-optimized BP neural network algorithm. Results demonstrate that the optimized model exhibits a correlation coefficient of 0.99, surpassing the prediction accuracy of traditional optimized BP neural networks. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 3","pages":"393-403"},"PeriodicalIF":1.1,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146136233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of Abnormal Progression in Oil-Immersed Transformers Using Dissolved Gas Analysis and Random Survival Forest 基于溶解气体分析和随机生存森林的油浸变压器异常发展预测

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2025-07-23 DOI: 10.1002/tee.70099

Hongjie Zheng, Ryuji Shioya

{"title":"Prediction of Abnormal Progression in Oil-Immersed Transformers Using Dissolved Gas Analysis and Random Survival Forest","authors":"Hongjie Zheng, Ryuji Shioya","doi":"10.1002/tee.70099","DOIUrl":"10.1002/tee.70099","url":null,"abstract":"Dissolved gas analysis (DGA) is a key technique for evaluating the internal condition of transformers, typically performed at intervals of 1–3 years. DGA reflects the transformer's current internal state at the time of oil sampling but does not inherently provide information about future state changes. While it is possible to use DGA time-series data to predict future states, the data are typically measured at irregular intervals and contain relatively few data points. This irregularity and sparsity make DGA data unsuitable for standard time-series forecasting algorithms, which require evenly spaced data with clear trends and seasonality. Excluding online DGA monitoring systems, these limitations pose significant challenges for maintenance planning based on DGA measurements. In this study, we developed a predictive model for the progression of abnormalities in oil-immersed transformers using random survival forest (RSF) analysis. The trained RSF model demonstrated the ability to capture complex relationships and provide accurate survival time predictions, even for irregularly spaced and small datasets. Analysis of real-world data revealed that the RSF model achieved high prediction accuracy and exhibited potential utility for early warning applications. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 3","pages":"386-392"},"PeriodicalIF":1.1,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146155126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reducing Respiratory Artifacts in Heart Rate Variability during Functional Food Intake Using ECG-Derived Respiration 利用心电图衍生呼吸减少功能性食物摄入时心率变异性的呼吸伪影

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2025-07-22 DOI: 10.1002/tee.70102

Ryota Akai, Ayaka Yoshino, Kumiko Ohara, Harunobu Nakamura, Yoshimitsu Okita

{"title":"Reducing Respiratory Artifacts in Heart Rate Variability during Functional Food Intake Using ECG-Derived Respiration","authors":"Ryota Akai, Ayaka Yoshino, Kumiko Ohara, Harunobu Nakamura, Yoshimitsu Okita","doi":"10.1002/tee.70102","DOIUrl":"10.1002/tee.70102","url":null,"abstract":"Heart rate variability (HRV) has been analyzed to assess the effects of food on autonomic nervous activity, but HRV is reportedly influenced by respiration. Reducing respiratory artifacts in HRV analysis requires respiratory signals. In this study, we estimated respiratory signals from electrocardiogram (ECG), compared these signals with actual respiratory signals, and investigated HRV indices before and after reducing respiratory artifacts based on estimated or actual respiratory signals during functional food intake. ECG and actual respiratory signals were recorded from five healthy males during gamma-aminobutyric acid (GABA) or placebo intake. Estimated respiratory signals were obtained using eight types of ECG-derived respiration (EDR) methods. The highest similarity to the actual signal was observed in the signals estimated from the EDR method based on the fourth-order central moment. Comparing the LF/HF ratios (one of the HRV indices), the difference between GABA and placebo decreased at 60 min post-intake after reducing respiratory artifacts than before reducing them; a decrease of 39.5% using the estimated signals and a decrease of 48.7% using actual signals. Our findings indicate that the EDR method provides the possibility of analyzing HRV with reduction of respiratory artifacts using only ECG, similar to using the actual respiratory signals, in functional food studies. © 2025 The Author(s). IEEJ Transactions on Electrical and Electronic Engineering published by Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 3","pages":"413-420"},"PeriodicalIF":1.1,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/tee.70102","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146130255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Transmission Line Ice Cover Prediction Model Based on EMD-KPCA-LSTM 基于EMD-KPCA-LSTM的输电线路冰覆盖预测模型

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2025-07-22 DOI: 10.1002/tee.70107

Bin Chen, Zhiming Xu, Yunzhu Zhang, Yanfeng Jia, Ruixin Ding, Shaofeng Zhang, Biao Li

{"title":"Transmission Line Ice Cover Prediction Model Based on EMD-KPCA-LSTM","authors":"Bin Chen, Zhiming Xu, Yunzhu Zhang, Yanfeng Jia, Ruixin Ding, Shaofeng Zhang, Biao Li","doi":"10.1002/tee.70107","DOIUrl":"https://doi.org/10.1002/tee.70107","url":null,"abstract":"Aiming at the problem of low prediction accuracy of existing models due to the strong intermittency and large fluctuation of the transmission line ice-covering process. Based on the meteorological time series information of icing, a combined forecasting model of icing based on empirical mode decomposition (EMD), kernel principal component analysis (KPCA) and long short-term memory network (LSTM) was proposed. The method firstly uses EMD to decompose the meteorological data, which reduces the instability of the original meteorological series and obtains the modal and residual components with different center frequencies; secondly, the KPCA algorithm is used to extract the main components of the input features and reduce the dimensionality of the input features; and finally, the selected multi-input features are used to build an LSTM network to complete the prediction of the ice cover thickness. The proposed prediction model is validated by example simulation. The results show that the prediction accuracy of the combined EMD-KPCA-LSTM model is further improved compared with other models, which verifies the effectiveness of the proposed method. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 2","pages":"196-204"},"PeriodicalIF":1.1,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145983958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Update Method for Stochastic Modeling of Indoor Activity Sounds in Daily Life for Anomaly Detection 面向异常检测的室内活动声随机建模更新方法

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2025-07-22 DOI: 10.1002/tee.70117

Motoshi Tanaka, Daichi Matsuo

引用次数: 0

Enhanced Diagnosis of Parkinson's Disease Using XGBoost† 使用XGBoost†增强帕金森病的诊断

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2025-07-19 DOI: 10.1002/tee.70094

Thi-Nhu-Quynh Nguyen, Hoang-Thuy-Tien Vo, Tuan Van Huynh

{"title":"Enhanced Diagnosis of Parkinson's Disease Using XGBoost†","authors":"Thi-Nhu-Quynh Nguyen, Hoang-Thuy-Tien Vo, Tuan Van Huynh","doi":"10.1002/tee.70094","DOIUrl":"https://doi.org/10.1002/tee.70094","url":null,"abstract":"Parkinson's disease (PD) affects over 10 million individuals globally, making it one of the most common neurological disorders. Despite its prevalence, no definitive cure or therapy exists to halt its progression. PD symptoms majorly influence patients' everyday lives, so prompt identification is essential. Because the disease starts in the brain, we used electroencephalography (EEG) data in our research. We used the publicly accessible dataset ‘EEG: Simon Conflict in Parkinson's’, which consists of EEG recordings from 28 people with PD (ON–OFF medication) and 28 healthy people (CTL). Due to the sensitivity of EEG signals, noise components were removed using Independent Component Analysis (ICA) combined with the IClabel model. Cleaned signals were reconstructed and analyzed into five primary frequency bands: delta, theta, beta, alpha, and gamma with statistical features. Boosting methods from the ensemble algorithm family were applied to evaluate classification performance. The classification results are presented for two labels (healthy individuals and PD) and three (healthy individuals, PD in ON medication, and PD in OFF medication). The XGBoost model achieved the best classification performance, achieving high accuracy, sensitivity, and specificity within a reasonable computation time. The XGBoost model combined with ICA-ICLabel achieved 99.71% accuracy in PD-CTL classification and 91.35% accuracy in three-class classification (CTL-ON-OFF). © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 11","pages":"1862-1867"},"PeriodicalIF":1.1,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145196960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Data-Driven Model-Free Predictive Voltage Control Strategy for Grid-Forming Inverters 并网逆变器无模型预测电压控制策略

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2025-07-17 DOI: 10.1002/tee.70078

Yifu Lin, Junwei Zhu, Feng He, Jingjing Wu, He Zhang, Zhuangzhuang Feng

{"title":"A Data-Driven Model-Free Predictive Voltage Control Strategy for Grid-Forming Inverters","authors":"Yifu Lin, Junwei Zhu, Feng He, Jingjing Wu, He Zhang, Zhuangzhuang Feng","doi":"10.1002/tee.70078","DOIUrl":"https://doi.org/10.1002/tee.70078","url":null,"abstract":"The traditional model predictive voltage control (MPVC) for grid-forming inverters relies heavily on accurate system parameters, which can impact voltage prediction performance. To address this issue, this paper proposes a data-driven model-free predictive voltage control strategy (DD-MFPVC). Initially, the influence of system parameters on traditional MPVC is analyzed for grid-forming inverters. Then, the data-driven model for grid-forming inverters is established, which is identified using the least-squares method. Furthermore, by applying the multi-layer recursive principle, the future data-driven model is derived from historical data, with recursive coefficients estimated using least squares to mitigate the one-step delay effect in the data-driven model. Subsequently, the voltage vector reference for the inverter is calculated based on deadbeat control principles, integrating space vector modulation to ensure voltage prediction accuracy. The proposed DD-MFPVC allows real-time updating of the data-driven model, eliminating dependency on system accuracy, and reducing prediction errors. The effectiveness of the proposed DD-MFPVC is validated through experimental comparisons. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 12","pages":"2045-2052"},"PeriodicalIF":1.1,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145530227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Control of Electrostatic Charge Generated during Two-Fluid Spraying of Pure Water Using an Inductive Charging Method† 用感应充电法控制纯水双流体喷射过程中产生的静电电荷

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2025-07-16 DOI: 10.1002/tee.70095

Yoshiyuki Seike, Hiroharu Suzuki, Yusuke Ichino, Noriyuki Taoka, Tatsuo Mori

{"title":"Control of Electrostatic Charge Generated during Two-Fluid Spraying of Pure Water Using an Inductive Charging Method†","authors":"Yoshiyuki Seike, Hiroharu Suzuki, Yusuke Ichino, Noriyuki Taoka, Tatsuo Mori","doi":"10.1002/tee.70095","DOIUrl":"https://doi.org/10.1002/tee.70095","url":null,"abstract":"This study presents a technique designed to prevent electrostatic discharge during the cleaning of semiconductors using a two-fluid spray composed of pure water. The current generated by spraying pure water with a prototype Faraday cage was measured. Furthermore, a shadow Doppler particle analyzer was used to measure the velocity and size of the airborne droplets, clarifying the relationship between the generated current and droplet characteristics. The results confirmed that the current generated during two-fluid spraying exhibits positive polarity and that the droplet charge increases with droplet velocity. We further demonstrated that the charging of pure-water droplets can be controlled by installing an inductive charging element immediately downstream of the pure-water jet. This phenomenon is believed to occur because the electrons induced by the charging element flow through the continuous fluid region along the nozzle wall toward the ground. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 9","pages":"1481-1487"},"PeriodicalIF":1.1,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/tee.70095","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144767838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0