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IEEE Foundation IEEE基金会
IF 4.2 4区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-07-02 DOI: 10.1109/MAP.2025.3576886
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引用次数: 0
Meetings and Symposia 会议及专题讨论会
IF 4.2 4区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-07-02 DOI: 10.1109/MAP.2025.3558395
Raymond P. Wasky
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引用次数: 0
AP-S Award Winners, LACAP 2024, and Research Award Winners [AP-S Committees & Activities] AP-S奖得主、LACAP 2024和研究奖得主[AP-S委员会和活动]
IF 4.2 4区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-07-02 DOI: 10.1109/MAP.2025.3562282
Branislav M. Notaroš;Gianluca Lazzi;Javier Araque;Francisco Pizarro;Karl Warnick;John Young
Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
提供社会信息,可能包括新闻,评论或技术笔记,从业者和研究人员应该感兴趣。
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引用次数: 0
AntennaCAT: Automated antenna design with machine learning-assisted optimization [Open Source] AntennaCAT:基于机器学习辅助优化的自动天线设计[开源]
IF 4.2 4区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-07-02 DOI: 10.1109/MAP.2025.3560851
Lauren Linkous;Johnathan Lundquist;Michael John Suche;Erdem Topsakal
As antenna design research progresses into more advanced techniques, recurrent manual editing of CAD models is one of the last, laborious obstacles for fully automated optimization. In this article we present AntennaCAT (Antenna Calculation and Autotuning Tool), which is designed to lower the barrier to entry for advanced antenna design and optimization while increasing the repeatability of the experimental process. AntennaCAT is open source software that automates the design, simulation, and optimization processes. It is compatible with multiple electromagnetic (EM) simulation software suites, including HFSS, CST, and FEKO, and includes integrated optimizers popular for multiparameter antenna design problems. Discussed are major software features for design, data collection and interpretation for machine learning (ML), internal simulation-integrated optimizers and their ML assisted hyperparameter tuning, and significance for replication studies.
随着天线设计研究发展到更先进的技术,CAD模型的反复手工编辑是实现全自动优化的最后一个费力的障碍。在本文中,我们介绍天线计算和自动调谐工具(AntennaCAT),它旨在降低进入高级天线设计和优化的门槛,同时增加实验过程的可重复性。AntennaCAT是一个开源软件,可以自动化设计、仿真和优化过程。它与多个电磁(EM)仿真软件套件兼容,包括HFSS, CST和FEKO,并包括用于多参数天线设计问题的集成优化器。讨论了机器学习(ML)的设计、数据收集和解释的主要软件功能,内部模拟集成优化器及其ML辅助超参数调优,以及对复制研究的意义。
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引用次数: 0
Society Officers & Administrative Committee 社团干事及行政委员会
IF 4.2 4区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-07-02 DOI: 10.1109/MAP.2025.3565401
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引用次数: 0
Computational Electromagnetics and the IEEE Antennas and Propagation Society: Seventy-five years of shared history, part 2 计算电磁学和IEEE天线与传播学会:75年的共享历史,第2部分
IF 4.2 4区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-04-28 DOI: 10.1109/MAP.2025.3555840
Andrew F. Peterson;Roberto D. Graglia
Computational electromagnetics (CEM) is heavily intertwined with the IEEE Antennas and Propagation Society (AP-S). Effective designs for antennas and EM systems motivated accurate simulation tools that continuously exhausted the available computer resources. This two-part article traces the development of computational tools and techniques and ties them to milestones in computer hardware, the growth and development of the AP-S, and some historical events throughout the world.
计算电磁学(CEM)与IEEE天线与传播学会(AP-S)密切相关。天线和电磁系统的有效设计激发了精确的仿真工具,不断耗尽可用的计算机资源。这篇由两部分组成的文章追溯了计算工具和技术的发展,并将它们与计算机硬件的里程碑、ap的成长和发展以及世界各地的一些历史事件联系起来。
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引用次数: 0
IEEE App IEEE 应用程序
IF 4.2 4区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-04-22 DOI: 10.1109/MAP.2025.3552916
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引用次数: 0
Making Waves: Empowering Tomorrow’s Innovators Today 掀起波澜:今天授权明天的创新者
IF 4.2 4区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-04-22 DOI: 10.1109/MAP.2025.3539124
Jessica Arkel
Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
提供社会信息,可能包括新闻,评论或技术笔记,从业者和研究人员应该感兴趣。
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引用次数: 0
A Review of the Austin RCS Benchmark Suite: Next generation benchmarks to enable CEM performance benchmarking 奥斯汀 RCS 基准套件回顾:实现 CEM 性能基准的下一代基准
IF 4.2 4区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-04-22 DOI: 10.1109/MAP.2025.3537404
Jon T. Kelley;Brian A. MacKie-Mason;David A. Chamulak;Clifton C. Courtney;Ali E. Yilmaz
This article reviews a recently developed benchmark suite for quantifying the performance of alternative computational approaches to solving radar cross-section (RCS) problems in aerospace applications. The Austin RCS Benchmark Suite 1) contains 20 problem sets, with 1,303 unique benchmark scattering problems, whose geometries, material properties, excitations, and quantities of interest are precisely defined; 2) organizes the problems along six dimensions according to the difficulty of computing their solutions; 3) provides reference RCS results for a select subset of the problems in each problem set, totaling 83 unique problems with reference results, obtained from full-wave computations in addition to analytical or measurement results; 4) includes models and sample meshes that define complex geometries as well as equations that define complex material properties for the problems that are most difficult to replicate independently; and 5) is available in online repositories.
本文回顾了最近开发的基准套件,用于量化解决航空航天应用中雷达横截面(RCS)问题的替代计算方法的性能。奥斯汀RCS基准套件1)包含20个问题集,有1303个独特的基准散射问题,其几何形状,材料特性,激发和兴趣的数量是精确定义的;2)根据解的难易程度,沿六个维度组织问题;3)为每个问题集中选定的问题子集提供参考RCS结果,除了分析或测量结果外,还通过全波计算获得了83个具有参考结果的独特问题;4)包括定义复杂几何形状的模型和样本网格,以及为最难独立复制的问题定义复杂材料属性的方程;5)可在在线存储库中获得。
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引用次数: 0
From the Stone Age to the AI Age: An exciting journey 从石器时代到人工智能时代:一段激动人心的旅程
IF 4.2 4区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-04-22 DOI: 10.1109/MAP.2025.3537581
Lotfollah Shafai;Qammer Abbasi
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引用次数: 0
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