IF 4.9 3区计算机科学

Computers & Electrical Engineering Pub Date : 2025-10-17 DOI: 10.1016/j.compeleceng.2025.110778

K. Satya Prakash, P.C. Sekhar

{"title":"A comprehensive methodology to design an LCC/LCC compensated DD-DD coupler for efficiency maximization in IPT systems","authors":"K. Satya Prakash, P.C. Sekhar","doi":"10.1016/j.compeleceng.2025.110778","DOIUrl":"10.1016/j.compeleceng.2025.110778","url":null,"abstract":"<div><div>Charging pads and compensation play a significant role in the inductive power charging system of electric vehicles. Its output power and efficiency depend on the precise magnetic design and the compensation tuning. In this connection, this paper develops a comprehensive strategy for designing <em>LCC/LCC</em> compensated Double D – Double D (DD) pads in a DC link capacitor-less bi-directional charging system to achieve the intended power output and coupling coefficient with maximized efficiency. By defining different dimensional attributes of the DD-DD structure, their effect on the magnetic and electrical performance parameters of the charger is assessed by varying the attributes’ values for the considered compensation parameters. The values of these attributes are optimized with the intent to steer the design towards the desired specifications. Subsequently, a methodology for selecting the optimal compensation variables for maximizing the efficiency at the desired power is established. Moreover, the work depicts the impact of output voltage on the optimal combination of the variables and the superiority of the developed formulation. To validate the proposed methodology, a 1 kW experimental prototype capable of bidirectional power transfer between the grid and a vehicle is developed. With a coupling coefficient of 0.3 and operating at 85 kHz, the developed prototype achieved an efficiency of 94 %.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"129 ","pages":"Article 110778"},"PeriodicalIF":4.9,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145324152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimized K-means routing protocol with black-winged kite algorithm for sustainable 5G/6G sensor networks 基于黑翼风筝算法的可持续5G/6G传感器网络K-means路由协议优化

IF 7.6 3区计算机科学

Internet of Things Pub Date : 2025-10-17 DOI: 10.1016/j.iot.2025.101792

Nishu Gupta , Mauro Mazzei , Jukka Mäkelä , Mikko Uitto

{"title":"Optimized K-means routing protocol with black-winged kite algorithm for sustainable 5G/6G sensor networks","authors":"Nishu Gupta , Mauro Mazzei , Jukka Mäkelä , Mikko Uitto","doi":"10.1016/j.iot.2025.101792","DOIUrl":"10.1016/j.iot.2025.101792","url":null,"abstract":"<div><div>Wireless sensor networks (WSNs) face critical challenges due to energy-constrained nodes, affecting their longevity, reliability, and efficiency. To improve energy effectiveness in WSNs for fifth-generation and sixth-generation (5G/6G) networks, various clustering techniques have been developed. These techniques aim to optimize energy use, ensuring better system performance. Moreover, to overcome these complications, this article proposes a K-means online-learning routing protocol optimized with the black-winged kite optimization algorithm for sustainable communication (KORP-BWKOA-SC-WSN). Initially, the input data is collected from the sink node. This data is fed to a binarized simplicial convolutional neural network for cluster formation, in which the network nodes are clustered. Next, the formed cluster is used for cluster head selection by using the hiking optimization algorithm for better data transmission. Finally, the K-means online learning routing protocol is implemented to improve node coordination and energy efficiency. The black-winged kite optimization approach is employed to enhance the system performance. The proposed KORP-BWKOA-SC-WSN achieves throughput improvements of 21.51%, 12.38%, and 21.51%, respectively, and energy consumption reductions of 15.85%, 23.37%, and 22.04% compared to existing methods The performance of the proposed technique is evaluated and is found to attain higher throughput and high network lifetime when compared with other existing methods.</div></div>","PeriodicalId":29968,"journal":{"name":"Internet of Things","volume":"34 ","pages":"Article 101792"},"PeriodicalIF":7.6,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145324442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic THz Backhaul for 6G Local Area Networks: Architecture, Analysis, Challenges and Future Directions 6G局域网动态太赫兹回程：架构、分析、挑战和未来方向

IF 12.9 1区计算机科学

IEEE Wireless Communications Pub Date : 2025-10-17 DOI: 10.1109/mwc.2025.3601676

Joonas Kokkoniemi, Shahriar Shahabuddin, Pejman Ghasemzadeh, John F. O’Hara

引用次数: 0

SpectrumLLM: Large Language Models for Next-Generation Spectrum Prediction 下一代频谱预测的大型语言模型

IF 12.9 1区计算机科学

IEEE Wireless Communications Pub Date : 2025-10-17 DOI: 10.1109/mwc.2025.3596934

Chao Liu, Yu Wang, Shiwen Mao, Dusit Niyato, Xianbin Wang, Guan Gui

引用次数: 0

Caption Assisted Multimodal Large Language Model for Video Moment Retrieval 字幕辅助多模态大语言视频时刻检索模型

IF 10.6 1区计算机科学

IEEE Transactions on Image Processing Pub Date : 2025-10-17 DOI: 10.1109/tip.2025.3620124

Peiyu Xie, Jinxing Li, Guangming Lu, Yong Xu, David Zhang

引用次数: 0

BidDeepSC-1.58b: 1.58-bit Bidirectional Slimmable Semantic Communication System BidDeepSC-1.58b: 1.58位双向细长语义通信系统

IF 6.8 2区计算机科学

IEEE Transactions on Vehicular Technology Pub Date : 2025-10-17 DOI: 10.1109/tvt.2025.3622754

Tung Son Do, Thanh Phung Truong, Quang Tuan Do, Dongwook Won, Wonjong Noh, Sungrae Cho

引用次数: 0

Performance Analysis of MMSE Digital Beamforming Techniques in Multi-User MIMO Systems Under CSI Errors CSI误差下多用户MIMO系统中MMSE数字波束形成技术的性能分析

IF 6.8 2区计算机科学

IEEE Transactions on Vehicular Technology Pub Date : 2025-10-17 DOI: 10.1109/tvt.2025.3622887

Vincent Savaux, Xuan Chen, Steve Sawadogo, Matthieu Crussire

引用次数: 0

Performance Improvement for Joint Source and Sensor Localization by Integrating Sensors as Transceivers in Asynchronous Sensor Networks 异步传感器网络中集成传感器作为收发器提高联合源和传感器定位性能

IF 4.4 2区计算机科学

IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2025-10-17 DOI: 10.1109/taes.2025.3622584

Xiaoyu Liu, Yanming Liu, Tong Wang

引用次数: 0

Future Special Issues/Special Sections of the Proceedings 未来的特刊/会议记录的特别部分

IF 20.6 1区计算机科学

Proceedings of the IEEE Pub Date : 2025-10-17 DOI: 10.1109/jproc.2025.3610964

引用次数: 0

A Sigmoid-Based Optimization Approach for Multi-UAV-Aided IRS-Assisted Quantum Entanglement Distribution in FSO Networks FSO网络中多无人机辅助红外辅助量子纠缠分布的sigmoid优化方法

IF 8.3 2区计算机科学

IEEE Transactions on Communications Pub Date : 2025-10-17 DOI: 10.1109/tcomm.2025.3622984

Giovanni Iacovelli, Francesco Vista, Stephen DiAdamo, Symeon Chatzinotas

引用次数: 0

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