2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi)最新文献

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Integrated Antennas for Dual-Polarized Wireless Communication in the mm W-range 毫米波范围双极化无线通信集成天线
B. Klein, Martin Becker, R. Hahnel, D. Plettemeier
{"title":"Integrated Antennas for Dual-Polarized Wireless Communication in the mm W-range","authors":"B. Klein, Martin Becker, R. Hahnel, D. Plettemeier","doi":"10.1109/CEMI.2018.8610548","DOIUrl":"https://doi.org/10.1109/CEMI.2018.8610548","url":null,"abstract":"An integrated dual-polarized antenna system consisting of a slot bowtie as well as a standard bowtie antenna for wireless communication in the millimeter-wave range is presented. By using a dual-polarized approach, the overall system bandwidth of a wireless communication system can be enhanced or polarization diversity can be addressed.","PeriodicalId":173287,"journal":{"name":"2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114314557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Nonsingular Laplacian Representations of Singular Kernels of Electromagnetic Integral Equations 电磁积分方程奇异核的非奇异拉普拉斯表示
E. Bleszynski, M. Bleszynski, T. Jaroszewicz
{"title":"Nonsingular Laplacian Representations of Singular Kernels of Electromagnetic Integral Equations","authors":"E. Bleszynski, M. Bleszynski, T. Jaroszewicz","doi":"10.1109/CEMI.2018.8610531","DOIUrl":"https://doi.org/10.1109/CEMI.2018.8610531","url":null,"abstract":"We consider extensions and selected applications of the recently proposed method of evaluating Galerkin matrix elements of electromagnetic volume and surface integral equations with the help of suitably constructed Laplacian-type representations of singular kernels (Green functions) in terms of non-singular auxiliary functions.","PeriodicalId":173287,"journal":{"name":"2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122178806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multiphysics Modeling for Electromagnetic Interaction with Elastic Objects 弹性物体电磁相互作用的多物理场建模
Li Zhang, M. Tong
{"title":"Multiphysics Modeling for Electromagnetic Interaction with Elastic Objects","authors":"Li Zhang, M. Tong","doi":"10.1109/CEMI.2018.8610655","DOIUrl":"https://doi.org/10.1109/CEMI.2018.8610655","url":null,"abstract":"Electromagnetic interaction with elastic objects includes both electrodynamic and elastodynamic processes which are of multiphysics feature. The electrodynamic process is governed through Maxwell's equations while the elastodynamic process is described by elastic wave equations and they are coupled together by excitations. Traditionally, these equations are presented in the form of partial differential equations and only differential equation solvers can be used to solved them. In this work, we develop coupled integral equations for the multiphysics process based on equivalence theorem so that integral equation solvers can be used to solve them. A typical numerical example is presented to demonstrate the approach and good results have been obtained.","PeriodicalId":173287,"journal":{"name":"2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125737446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Waveform Generation in the Near-Field Zone 近场区波形的产生
A. Capozzoli, C. Curcio, A. Liseno
{"title":"Waveform Generation in the Near-Field Zone","authors":"A. Capozzoli, C. Curcio, A. Liseno","doi":"10.1109/CEMI.2018.8610572","DOIUrl":"https://doi.org/10.1109/CEMI.2018.8610572","url":null,"abstract":"We deal with an approach, based on the singular value optimization (SVO) technique, for the synthesis of array-based generators of near-field complex waveforms. The approach selects the grid wherein enforcing the design specifications and the radiator locations to control the ill-conditioning associated to the determination of the array excitations. Following the SVO optimization, the array coefficients are determined by a singular value decomposition. Numerical results are provided.","PeriodicalId":173287,"journal":{"name":"2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125970923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Magnetic Field Distribution in Coupled Coils of a Wireless Power Transfer Device in Sea Water 海水中无线电力传输装置耦合线圈的磁场分布
Gao Wei, Yang Shenqin, Gao Jianxin, Wu Xusheng
{"title":"Magnetic Field Distribution in Coupled Coils of a Wireless Power Transfer Device in Sea Water","authors":"Gao Wei, Yang Shenqin, Gao Jianxin, Wu Xusheng","doi":"10.1109/CEMI.2018.8610638","DOIUrl":"https://doi.org/10.1109/CEMI.2018.8610638","url":null,"abstract":"The wireless power transfer technology is widely studied in the world. It is advantageous in many areas, including EV, UUV, and AGV. Since it is wireless, it is more convenient in many special environments such as deep wells and sea water. Scholars conduct research in many areas, including circuit topology, power transmitter design, coil style, and electromagnetic distribution in coupled coils. In this paper, a study on electromagnetic distribution in coupled coils in sea water is provided with simulations and experiments, and some conclusions are discussed.","PeriodicalId":173287,"journal":{"name":"2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125872115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Machine Learning for Wide Area Surveillance from Aerial Platforms 基于空中平台的广域监视机器学习
M. McDonald, Keqi Wei, T. Kirubarajan, Z. Baird, S. Rajan
{"title":"Machine Learning for Wide Area Surveillance from Aerial Platforms","authors":"M. McDonald, Keqi Wei, T. Kirubarajan, Z. Baird, S. Rajan","doi":"10.1109/CEMI.2018.8610550","DOIUrl":"https://doi.org/10.1109/CEMI.2018.8610550","url":null,"abstract":"Legacy detection approaches in persistent wide area surveillance (WAS) rely on tractable stochastic models to predict clutter and target behaviour to allow the generation of detector structures. Unfortunately, actual clutter properties encountered during radar and optical WAS are frequently observed to diverge significantly from the proposed statistical models. This results in degraded detection performance. machine learning (ML) is proposed as a potential technique to help capture complex clutter behaviour so as to improve detection performance. In this paper some prior motivating applications of ML for WAS are discussed. Ongoing challenges in the application of ML techniques to WAS are identified along with recommendations for future implementations.","PeriodicalId":173287,"journal":{"name":"2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi)","volume":"64 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133118379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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