IF 6.8 2区计算机科学

IEEE Transactions on Vehicular Technology Pub Date : 2025-09-05 DOI: 10.1109/tvt.2025.3606548

Chengbin Chen, Xiaopei Chen, Jinyu Wang, Baihe Chen, Pingping Chen, Zhensheng Wang, Sifan Chen, Zhiqiang Wu

引用次数: 0

On-Demand Edge Computing Power Networks Assisted by Reconfigurable Intelligent Surface with Multi-Layer Scheme 基于多层可重构智能曲面的按需边缘计算能力网络

IF 8.3 2区计算机科学

IEEE Transactions on Communications Pub Date : 2025-09-05 DOI: 10.1109/tcomm.2025.3606656

Boxin He, Wencan Mao, Yaxi Liu, Fangxin Wang, Wei Huangfu

引用次数: 0

Multi-Scale Enhanced Semantic Communication for Robust Multi-Resolution Image Transmission 鲁棒多分辨率图像传输的多尺度增强语义通信

IF 6.3 3区计算机科学

IEEE Wireless Communications Letters Pub Date : 2025-09-05 DOI: 10.1109/lwc.2025.3606615

Youming Sun, Lile Wei, Jiafeng Wang, Haiqiang Chen, Xiangcheng Li

引用次数: 0

EFMDA: Efficient Fault-Tolerant Multidimensional Data Aggregation With Dual Privacy Protection in Smart Grids 智能电网中具有双重隐私保护的高效容错多维数据聚合

IF 10.6 1区计算机科学

IEEE Internet of Things Journal Pub Date : 2025-09-05 DOI: 10.1109/jiot.2025.3606568

Yufan Dou, Jingwei Liu, Wei Du, Rong Sun, Lei Liu, Qingqi Pei, Mianxiong Dong, Shahid Mumtaz

引用次数: 0

Automated Top Stitching via Vision-Based Macro-Mini Approach: Retrofitting Legacy Machines for Enhanced Precision in Garment Manufacturing 基于视觉宏-迷你方法的自动顶缝：改进传统机器以提高服装制造的精度

IF 5.6 2区计算机科学

IEEE Transactions on Automation Science and Engineering Pub Date : 2025-09-05 DOI: 10.1109/tase.2025.3605235

Taehwan Kim, Hyunwoong Choi, Jaejin Kim, Byung-Hyun Song, Ho-Young Kim, Yong-Lae Park

引用次数: 0

An Effective Method Incorporating Binary Prior Information for Programmable Metasurface-Based Microwave Computational Imaging 一种融合二元先验信息的可编程超表面微波计算成像方法

IF 1.5 4区管理学

Iet Radar Sonar and Navigation Pub Date : 2025-09-05 DOI: 10.1049/rsn2.70073

Fang-Fang Wang, Hai-Fei Yang, Hang Zhao, Yang Bao, Yiqian Mao, Qing Huo Liu

{"title":"An Effective Method Incorporating Binary Prior Information for Programmable Metasurface-Based Microwave Computational Imaging","authors":"Fang-Fang Wang, Hai-Fei Yang, Hang Zhao, Yang Bao, Yiqian Mao, Qing Huo Liu","doi":"10.1049/rsn2.70073","DOIUrl":"https://doi.org/10.1049/rsn2.70073","url":null,"abstract":"<p>Microwave computational imaging (MCI) combined with programmable metasurface (PMS) has seen significant advancements in recent years. This new microwave imaging technology performs multiplexed measurements by manipulating the radiation pattern of PMS and acquires the spatial resolution. Compared with the traditional real aperture microwave imaging and synthetic aperture microwave imaging, PMS-based MCI (PMS-MCI) not only reduces the cost of the imaging system, but also significantly improves imaging efficiency. As a typical inverse scattering problem, PMS-MCI is nonlinear. To address this nonlinearity, the Born approximation or physical optical (PO) approximation is often used. Additionally, the limited number of independent PMS radiation patterns makes PMS-MCI an ill-posed problem. The ill-posedness of PMS-MCI is mostly overcome through a regularisation scheme which leverages sparse prior information. However, the imaging performance of these existing sparsity-regularised methods can degrade significantly if the sparsity of the probed scene decreases. In some scenarios, one only seeks to reconstruct the shape of a metallic object, which can be parameterised with a binary local shape function (LSF). This binary prior information of LSF can also be exploited to tackle the ill-posed problem. Therefore, a method incorporating such a priori binary information will be introduced into PMS-MCI for recovering the shape of metallic objects in this work. Specifically, a prior model is first constructed to enforce the binary characteristics of the unknowns. Then, Bayesian inference is performed using the variational expectation maximisation (EM) algorithm, integrated with the damped generalised approximation message passing (GAPM) algorithm. Numerical examples are presented to demonstrate the accuracy, efficiency and robustness of the proposed PMS-MCI method.</p>","PeriodicalId":50377,"journal":{"name":"Iet Radar Sonar and Navigation","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/rsn2.70073","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144999022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IEEE Reliability Society Publication Information IEEE可靠性协会出版信息

IF 5.7 2区计算机科学

IEEE Transactions on Reliability Pub Date : 2025-09-05 DOI: 10.1109/TR.2025.3600980

引用次数: 0

IEEE Antennas and Wireless Propagation Letters Publication Information IEEE天线与无线传播通讯出版信息

IF 4.8 2区计算机科学

IEEE Antennas and Wireless Propagation Letters Pub Date : 2025-09-05 DOI: 10.1109/LAWP.2025.3601913

引用次数: 0

More Than Following: Introducing Reversing Behavior for Irregular-Aware Traffic Simulation by Interactive Editing 更重要的是：通过交互式编辑引入不规则感知交通模拟的倒车行为

IF 1.7 4区计算机科学

Computer Animation and Virtual Worlds Pub Date : 2025-09-05 DOI: 10.1002/cav.70071

Yi Han, He Wang, Xiaogang Jin

{"title":"More Than Following: Introducing Reversing Behavior for Irregular-Aware Traffic Simulation by Interactive Editing","authors":"Yi Han, He Wang, Xiaogang Jin","doi":"10.1002/cav.70071","DOIUrl":"https://doi.org/10.1002/cav.70071","url":null,"abstract":"<div>\u0000 \u0000 <p>Though current traffic simulation methods can produce impressive results, reversing behavior is always ignored, potentially reducing the diversity and plausibility of simulation data. Furthermore, while common traffic behaviors like following-the-leader and lane changing can be easily simulated, efficiently generating irregular cases in a human-in-the-loop manner with specific motions based on user desires is less discussed. To address the gap, we present a novel interactive traffic editing and simulation framework that enables users to regulate vehicles via simple inputs to introduce reversing and generate desired trajectory data with both car-following and irregular driving behaviors. With key states specified, lane-level navigation, including forward/backward directions, is planned through heuristic search. The customized navigation brings the vehicles' new trajectories with both car-following and reversing, and their surrounding neighbors are also adjusted accordingly. To provide smooth and plausible motions after editing, vehicles are updated via the optimization-based simulation method, which takes vehicle kinematics, self-motivation, path keeping, collision avoidance, and special interaction rules into account. We demonstrate that our framework can generate uncommon traffic cases and validate it through extensive experiments.</p>\u0000 </div>","PeriodicalId":50645,"journal":{"name":"Computer Animation and Virtual Worlds","volume":"36 5","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144999030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Surfer: A World Model-Based Framework for Vision-Language Robot Manipulation Surfer：一个基于世界模型的视觉语言机器人操作框架

IF 10.4 1区计算机科学

IEEE transactions on neural networks and learning systems Pub Date : 2025-09-05 DOI: 10.1109/tnnls.2025.3594117

Pengzhen Ren, Kaidong Zhang, Hetao Zheng, Zixuan Li, Yuhang Wen, Fengda Zhu, Shikui Ma, Xiaodan Liang

引用次数: 0

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