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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Natsui, M., Ametani, A., Mahseredjian, J., Sekioka, S., & Yamamoto, K. (2021). 3-D FDTD Analysis of Lightning-Induced Voltages in Distribution Lines Due to Inclined Lightning. IEEE Transactions on Electromagnetic Compatibility, 63(1), 189-197. External link
Natsui, M., Ametani, A., Mahseredjian, J., Sekioka, S., & Yamamoto, K. (2020). FDTD analysis of distribution line voltages induced by non-vertical lightning. Electric Power Systems Research, 189, 10 pages. Presented at International Conference on Power Systems Transients (IPST 2019), Perpignan, France. External link
Natsui, M., Ametani, A., Mahseredjian, J., Sekioka, S., & Yamamoto, K. (2020). FDTD Analysis of Nearby Lightning Surges Flowing into a Distribution Line via Groundings. IEEE Transactions on Electromagnetic Compatibility, 62(1), 144-154. External link
Natsui, M., Ametani, A., Mahseredjian, J., Sekioka, S., & Yamamoto, K. (2018). FDTD analysis of distribution line voltages induced by inclined lightning channel. Electric Power Systems Research, 160, 450-456. Presented at International Conference on Power Systems Transients (IPST 2017), Seoul, Republic of Korea. External link
Asada, T., Baba, Y., Nagaoka, N., Ametani, A., Mahseredjian, J., & Yamamoto, K. (2017). A Study on Basic Characteristics of the Proximity Effect on Conductors. IEEE Transactions on Power Delivery, 32(4), 1790-1799. External link
Natsui, M., Ametani, A., Mahseredjian, J., Sekioka, S., & Yamamoto, K. (2021, July). 3-D FDTD Analysis of Lightning-Induced Voltages in Distribution Lines Due to Inclined Lightning [Paper]. 2021 IEEE Power and Energy Society General Meeting (PESGM 2021), Washington, D.C., USA (1 page). External link
Natsui, M., Ametani, A., Mahseredjian, J., Sekioka, S., & Yamamoto, K. (2017, June). FDTD analysis of distribution line voltages induced by inclined lightning channel [Paper]. International Conference on Power Systems Transients (IPST 2017), Seoul, Republic of Korea (6 pages). External link
Yamamoto, K., Nakashima, T., Sumi, S., & Ametani, A. (2016, September). About 100 years survey of the surface temperatures of Japan sea and lightning days along the coast [Paper]. 33rd International Conference on Lightning Protection (ICLP 2016), Estoril, Portugal (6 pages). External link
