2024年春に当研究室で論文発表した研究成果が、その後、読売新聞の記事「水害リスク実感 早期避難促す」として紹介されました。そして、同記事が福知山公立大学 情報学部の2025年度入試問題（小論文）に採用され、公開されるはこびとなっています。
入試問題としての使用にあたっては、一般的に関係者の事前の了承は不要とされていますが、過去問として公開する際には了解が求められる場合があります。今回は、事前にご丁寧なご連絡をいただいております。
このようにお使いいただけたことを大変光栄に存じます。本記事が、受験生の皆様にとって災害と情報・情報技術（AR）への関心を深める一助となれば幸いです。
読売新聞（2024年7月5日 朝刊） https://www.yomiuri.co.jp/local/kansai/feature/CO049294/20240704-OYTAT50025
福知山公立大学（2025年度 一般選抜前期日程 入試問題 問題1） https://www.fukuchiyama.ac.jp/admission/examination/result02
原著論文
Ryoma Tsujimoto, Tomohiro Fukuda, Nobuyoshi Yabuki. (2024). Server-enabled mixed reality for flood risk communication: On-site visualization with digital twins and multi-client support, Environmental Modelling and Software, 177, 106054, https://doi.org/10.1016/j.envsoft.2024.106054
The research results presented in our laboratory in the spring of 2024 were subsequently introduced in an article in the Yomiuri Shimbun titled “Realizing Flood Risk: Promoting Early Evacuation.” The article was then used in the 2025 entrance exam (essay) for the Faculty of Informatics, The University of Fukuchiyama, and is now available to the public.
Although prior approval of the parties concerned is generally not required for the use of the article as an entrance examination question, approval may be requested when the article is published as a past question. In this case, we have received a polite notice in advance.
We are very honored to be able to use this information in this way. We hope that this article will help to deepen interest in disasters and information and information technology (AR) for prospective students.
The Yomiuri Shimbun (July 5, 2024 morning edition)
https://www.yomiuri.co.jp/local/kansai/feature/CO049294/20240704-OYTAT50025
The University of Fukuchiyama (Entrance Examination Question 1 for the first semester of the 2025 General Selection)
https://www.fukuchiyama.ac.jp/admission/examination/result02
Original Research Article
Ryoma Tsujimoto, Tomohiro Fukuda, Nobuyoshi Yabuki. (2024). Server-enabled mixed reality for flood risk communication: On-site visualization with digital twins and multi-client support, Environmental Modelling and Software, 177, 106054, https://doi.org/10.1016/j.envsoft.2024.106054