Pub Date : 2025-10-09DOI: 10.1109/temc.2025.3615289
Mohammad Kameli, Davy Pissoort, Tim Claeys
{"title":"Enhancing the EMI-Resilience of Communication Networks Through Warning Propagation: A Multilayer Approach","authors":"Mohammad Kameli, Davy Pissoort, Tim Claeys","doi":"10.1109/temc.2025.3615289","DOIUrl":"https://doi.org/10.1109/temc.2025.3615289","url":null,"abstract":"","PeriodicalId":55012,"journal":{"name":"IEEE Transactions on Electromagnetic Compatibility","volume":"87 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145255603","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}
Pub Date : 2025-10-07DOI: 10.1109/temc.2025.3607560
Abduselam Hamid Beshir, Per Thaastrup Jensen, Pooya Davari
{"title":"Comprehensive Black Box EMI Model of Power Electronics Converters in Supraharmonics Frequency Range","authors":"Abduselam Hamid Beshir, Per Thaastrup Jensen, Pooya Davari","doi":"10.1109/temc.2025.3607560","DOIUrl":"https://doi.org/10.1109/temc.2025.3607560","url":null,"abstract":"","PeriodicalId":55012,"journal":{"name":"IEEE Transactions on Electromagnetic Compatibility","volume":"12 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145241713","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}
{"title":"Simulation and Experimental Study on Response Characteristics and Damage Patterns of Typical Photovoltaic Systems Illuminated by HEMP","authors":"Shiji Li, Junna Li, Jiahao Zhu, Yongliang Wang, Tian Yang, Jian Liu, Xiaoyu Zhou, Qin Shang, Qixiang Huang, Fangzheng Wu, Aici Qiu","doi":"10.1109/temc.2025.3608436","DOIUrl":"https://doi.org/10.1109/temc.2025.3608436","url":null,"abstract":"","PeriodicalId":55012,"journal":{"name":"IEEE Transactions on Electromagnetic Compatibility","volume":"9 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145215685","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}
Pub Date : 2025-10-02DOI: 10.1109/temc.2025.3611510
Yohei Tanaka, Yoshihiro Baba
{"title":"Accurate Numerical Integration Method Using Magnetic Flux and Electric Charge for Electromagnetic Transient Simulations","authors":"Yohei Tanaka, Yoshihiro Baba","doi":"10.1109/temc.2025.3611510","DOIUrl":"https://doi.org/10.1109/temc.2025.3611510","url":null,"abstract":"","PeriodicalId":55012,"journal":{"name":"IEEE Transactions on Electromagnetic Compatibility","volume":"37 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145209598","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}
Pub Date : 2025-10-01DOI: 10.1109/temc.2025.3610342
Junghyun Lee, Seonguk Choi, Keeyoung Son, Haeyeon Kim, Joonsang Park, Jiwon Yoon, Keunwoo Kim, Hyunjun An, Haeseok Suh, Youngwoo Kim, Joungho Kim
{"title":"Generative Adversarial Learning Based Power Noise Induced Eye Diagram Estimation Method for High-Speed Channel Design","authors":"Junghyun Lee, Seonguk Choi, Keeyoung Son, Haeyeon Kim, Joonsang Park, Jiwon Yoon, Keunwoo Kim, Hyunjun An, Haeseok Suh, Youngwoo Kim, Joungho Kim","doi":"10.1109/temc.2025.3610342","DOIUrl":"https://doi.org/10.1109/temc.2025.3610342","url":null,"abstract":"","PeriodicalId":55012,"journal":{"name":"IEEE Transactions on Electromagnetic Compatibility","volume":"23 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145203020","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}
Pub Date : 2025-09-22DOI: 10.1109/temc.2025.3606658
Shota Ueda, Yoshihiro Baba, Vladimir A. Rakov
{"title":"FDTD Computation of Ground-Level Electric Fields Generated by Compact Intracloud Discharges","authors":"Shota Ueda, Yoshihiro Baba, Vladimir A. Rakov","doi":"10.1109/temc.2025.3606658","DOIUrl":"https://doi.org/10.1109/temc.2025.3606658","url":null,"abstract":"","PeriodicalId":55012,"journal":{"name":"IEEE Transactions on Electromagnetic Compatibility","volume":"25 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145116376","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}
Pub Date : 2025-09-17DOI: 10.1109/TEMC.2025.3605103
Luk R. Arnaut
In [1], a machine learning (ML) method for the estimation of near-field emissions is applied. The method trains and validates a four-layer artificial neural network (ANN) using transverse magnetic field amplitude data, $|H_{x}(underline{r}_{i})|$ and $|H_{y}(underline{r}_{i})|$, as measured or simulated in two scanned parallel planes, for $N$ in-plane pure magnetic dipole sources. The iterative calculation starts from the transverse part of the magneto-magnetic free-space Green dyadic, $underline{underline{G}}^{mm}$, serving as the input to two nonlinear functions $f_{x}$ and $f_{y}$, i.e., [1, eqs. (3) and (4)] begin{align*} |H_{x}(underline{r}_{i})| &= f_{x} left(underline{underline{G}}^{mm}_{xcdot }(underline{r}_{i} | lbrace underline{r}^prime _{j}rbrace ^{N}_{j=1}) right) |H_{y}(underline{r}_{i})| &= f_{y} left(underline{underline{G}}^{mm}_{ycdot }(underline{r}_{i} | lbrace underline{r}^prime _{j} rbrace ^{N}_{j=1}) right), ,i=1,ldots,M tag{1} end{align*} that are evaluated on grids of fixed locations for observations$lbrace underline{r}_{i}rbrace ^{M}_{i=1}$ and dipole sources $lbrace underline{r}^prime _{j}rbrace ^{N}_{j=1}$. This Green’s function formalism offers scope for interpreting the final ANN model in terms of electromagnetic (EM) quantities. For a specific ANN and source model, backpropagation inside the ANN provides a mathematical description of the physical perturbations to the free-space $underline{underline{G}}^{mm}$, generated by multireflection or multiscattering effects, via these nonlinear functions. In [1, Figs. 13–15], field plots and field errors of $|H_{x}|$ and $|H_{y}|$ associated with the final ANN are then compared with those for magnetic dipole generated fields using differential evolution (DE), and with simulation results generated by a computational EM solver as a reference.
{"title":"Comments on “Near-Field Prediction in Complex Environment Based on Phaseless Scanned Fields and Machine Learning”","authors":"Luk R. Arnaut","doi":"10.1109/TEMC.2025.3605103","DOIUrl":"10.1109/TEMC.2025.3605103","url":null,"abstract":"In [1], a machine learning (ML) method for the estimation of near-field emissions is applied. The method trains and validates a four-layer artificial neural network (ANN) using transverse magnetic field amplitude data, $|H_{x}(underline{r}_{i})|$ and $|H_{y}(underline{r}_{i})|$, as measured or simulated in two scanned parallel planes, for $N$ in-plane pure magnetic dipole sources. The iterative calculation starts from the transverse part of the magneto-magnetic free-space Green dyadic, $underline{underline{G}}^{mm}$, serving as the input to two nonlinear functions $f_{x}$ and $f_{y}$, i.e., [1, eqs. (3) and (4)] begin{align*} |H_{x}(underline{r}_{i})| &= f_{x} left(underline{underline{G}}^{mm}_{xcdot }(underline{r}_{i} | lbrace underline{r}^prime _{j}rbrace ^{N}_{j=1}) right) |H_{y}(underline{r}_{i})| &= f_{y} left(underline{underline{G}}^{mm}_{ycdot }(underline{r}_{i} | lbrace underline{r}^prime _{j} rbrace ^{N}_{j=1}) right), ,i=1,ldots,M tag{1} end{align*} that are evaluated on grids of fixed locations for observations$lbrace underline{r}_{i}rbrace ^{M}_{i=1}$ and dipole sources $lbrace underline{r}^prime _{j}rbrace ^{N}_{j=1}$. This Green’s function formalism offers scope for interpreting the final ANN model in terms of electromagnetic (EM) quantities. For a specific ANN and source model, backpropagation inside the ANN provides a mathematical description of the physical perturbations to the free-space $underline{underline{G}}^{mm}$, generated by multireflection or multiscattering effects, via these nonlinear functions. In [1, Figs. 13–15], field plots and field errors of $|H_{x}|$ and $|H_{y}|$ associated with the final ANN are then compared with those for magnetic dipole generated fields using differential evolution (DE), and with simulation results generated by a computational EM solver as a reference.","PeriodicalId":55012,"journal":{"name":"IEEE Transactions on Electromagnetic Compatibility","volume":"67 6","pages":"1888-1889"},"PeriodicalIF":2.5,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145077310","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}
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