研究者詳細 - 安田　孝美

論文 - 安田　孝美

分割表示 970 件中 41 - 60 件目／全件表示 >>

【口頭発表】高山市におけるデータ利活用推進〜店舗でのデータ利活用とワークショップの開催〜

堀涼，浦田真由，遠藤守，安田孝美

第4回飛騨高山学会（2022.12.10）, 飛騨・世界生活文化センター頁： 5 - 6 2022年12月

【口頭発表】高齢者の ICT 利活用推進に向けた個別相談会の検討～高山市デジタルなんでも相談会の実施を通して～

長元真実，浦田真由，遠藤守，安田孝美

第4回飛騨高山学会（2022.12.10）, 飛騨・世界生活文化センター頁： 3 - 4 2022年12月

【論文】Support system for road price formulation using machine learning 査読有り

Studies in Science and Technology Vol.11, No.2 巻頁： 131 - 145 2022年12月

【論文】固定資産税評価業務のための人工知能技術を用いたソーラーパネル検出システムの構築と実践査読有り

屠芸豪，浦田真由，遠藤守，安田孝美，島崎寛和，木村智行

実践政策学 Vol.8, No.2 巻頁： 203 - 212 2022年12月

【論文】Image style transfer and image release for tourism promotion in local governments 査読有り

Journal of Global Tourism Research Vol.7, No.2 巻頁： 137 - 144 2022年11月

【論文】CG実写合成におけるブルーム効果査読有り

高橋信雄, 浦田真由, 遠藤守, 安田孝美

図学研究 Vol.56, No.2 巻頁： 3 - 10 2022年10月

【論文】等方的PSFによるCG実写合成のためのブルーム効果査読有り

高橋信雄, 浦田真由, 遠藤守, 安田孝美

情報文化学会誌 Vol.29, No.1 巻頁： 11 - 18 2022年10月

【口頭発表】技術コミュニティによるICT教育コンテンツの提案と試作

宮川慎也, 遠藤守, 浦田真由, 安田孝美

日本デジタルゲーム学会(DiGRA JAPAN)2022年夏季研究発表大会（2022.9.4），オンライン頁： 13 - 16 2022年9月

【口頭発表】地域連携を前提としたオープンデータ推進と人材育成の実践

遠藤守, 宮川慎也, 兼松篤子, 佐々木宏展, 小林晃, 浦田真由, 安田孝美

2022年社会情報学会(SSI)学会大会（2022.9.2-9.3），東北大学 2022年9月

【口頭発表】AI を用いた画像スタイル変換による観光コンテンツの作成～飛騨市における画像データの利活用～

屠芸豪, 浦⽥真由, 遠藤守, 安田孝美

観光情報学会第18回全国大会（2022.7.30-31）, ハイブリッド頁： 29 - 30 2022年7月

【口頭発表】観光まちづくりのためのAIカメラによるデータ収集とその評価

堀涼, 浦⽥真由, 遠藤守, 安田孝美, ⼭⽥雅彦

観光情報学会第18回全国大会（2022.7.30-31）, ハイブリッド頁： 15 - 16 2022年7月

【論文】Promotion of big data utilization for tourism-based community development

Hori Ryo, Uga Tomoki, Urata Mayu, Endo Mamoru, Yasuda Takami, Yamada Masahiko

Journal of Global Tourism Research 7 巻 ( 1 ) 頁： 75 - 79 2022年6月

記述言語：英語出版者・発行元：International Society for Tourism Research

Tourism, which is ranked as an important policy pillar in Japan, is changing. For instance, attention is paid to “not famous” sightseeing spots, or demand for work vacation is expanding. It is essential to accurately grasp and respond to these changes. Information and communication technology (ICT) utilization, especially big data utilization, is an important area of focus. However, tourism is a field where ICT or big data utilization has not been fully employed. According to a survey, the reasons for this are: personnel do not have concrete content, and lack of human resource and technical expertise. Therefore, in this study, we analyze the traffic tracking data collected and propose ways to utilize it to show what kind of data can be used, its effects and merits, and create concrete examples of big data utilization. The analysis ensured prevailing situations are understood to be utilized for evaluating the effects of measures in the future and for countermeasures against traffic congestion. We also showed a merit of big data utilization by discovering present situations which were different from the perceptions of the locals.

DOI： 10.37020/jgtr.7.1_75

CiNii Research

【口頭発表】観光まちづくりのためのビッグデータ利活用の推進-交差点における通行・交通経路の分析-

堀涼，有我友希，浦田真由，遠藤守，安田孝美，山田雅彦

第8回とうかい観光情報学研究会（2022.3.16）, オンライン頁： 9 - 12 2022年3月

【口頭発表】自治体における観光施策に向けたSNS分析の活用

伊神花織，浦田真由，遠藤守，安田孝美

第8回とうかい観光情報学研究会（2022.3.16）, オンライン頁： 1 - 4 2022年3月

【論文】埋蔵文化財保護行政における3Dデータ活用-機械学習を活用した須恵器杯蓋の産地同定手法- 査読有り

浦田真由, 遠藤守, 安田孝美

情報文化学会誌 Vol.28, No.2 巻頁： 11 - 18 2022年3月

【口頭発表】A System for Determining Road Prices Based on Machine Learning Using Public and Private Sector Data

Tu Y., Nohara Y., Urata M., Endo M., Yasuda T., Shimazaki H., Kimura T.

LifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies 頁： 357 - 360 2022年3月

記述言語：日本語出版者・発行元：LifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies

Fixed asset tax is a very important source of funds for Japanese municipalities. In the works of local governments, road price is one of the indicators that determine fixed asset tax. Every three years, the government inspects each road to set an evaluation value (per square meter), which contribute to the fixed asset tax for residential lands facing the street. Municipal staffs spend tremendous time and effort on field surveys to conduct appropriate evaluations. Thus, it is necessary to develop an efficient evaluation system utilizing digital technology. This study proposes a system that automatically estimates the road price. It utilizes the gradient boosting decision tree, which is one of the machine learning methods, to analyze public and private sector data possessed by local governments. In addition, we adopt the judgment basis visualization method to reduce the burden of road price formulation work and improve work efficiency and transparency. Through experiments, it has been confirmed that this system effectively increases work efficiency for the generation of road prices.

DOI： 10.1109/LifeTech53646.2022.9754859

Scopus

【口頭発表】撮像系の PSF に基づく CG 画像のブルーム効果

高橋信雄, 浦田真由, 遠藤守, 安田孝美

2022年情報文化学会九州支部大会頁： 3 2022年2月

【口頭発表】情報セキュリティにおけるVTuberを取り入れたオンライン学習支援の構築と実践

宮川慎也, 遠藤守, 浦田真由, 安田孝美

日本デジタルゲーム学会(DiGRA JAPAN)第12回年次大会予稿集（2022.2.11-2.12），大阪国際工科専門職大学頁： 77 - 80 2022年2月

【口頭発表】Proposals and practices for open image data processing and promotion in local governments

Tu Y., Urata M., Endo M., Yasuda T.

GCCE 2022 - 2022 IEEE 11th Global Conference on Consumer Electronics 頁： 496 - 500 2022年

出版者・発行元：GCCE 2022 - 2022 IEEE 11th Global Conference on Consumer Electronics

In recent years, digitization has made significant progress in every area of modern society. In the administrative field, it is vital to formulate policies based on data analysis utilizing information and communication technology to deal with executive management and social problems in local governments. Therefore, the use of data, particularly open data, is essential in the work of local governments. We propose a support system that utilizes artificial intelligence technology through industry-government-academia collaboration and supports the processing and promotion of open image data in local governments. In addition, we verify the support system through demonstration experiments in local governments. This study aims to reduce the workload associated with open image data and improve work efficiency in local governments. Furthermore, we aim to promote city promotion for regional revitalization by utilizing open image data.

DOI： 10.1109/GCCE56475.2022.10014180

Scopus

【論文】Image style transfer and image release for tourism promotion in local governments

Tu Yunhao, Urata Mayu, Endo Mamoru, Yasuda Takami

Journal of Global Tourism Research 7 巻 ( 2 ) 頁： 137 - 144 2022年

記述言語：英語出版者・発行元：International Society for Tourism Research

In recent years, the declining birthrate and aging population have been accelerating in Japan. Municipalities need to utilize data and provide evidence-based policymaking (EBPM) to maintain and improve the quality of resident services with limited resources and financial resources. Therefore, we aim to utilize open image data for tourism appeal in local governments through industry-government-academia collaboration. Currently, the utilization of open image data is not progressing in local governments due to problems such as portrait rights and privacy of images. Therefore, we transfer the image data style, consider the anonymization of the image, and aim to utilize it for tourism. Also, we verified the image style transfer results through demonstration experiments in a local government. As a result, this study demonstrates the feasibility and effectiveness of the proposed approach to local government image data. We believe that this will lead to the utilization of open image data. Furthermore, we aim to deepen the understanding of artificial intelligence technology and the utilization of images in local governments.

DOI： 10.37020/jgtr.7.2_137

CiNii Research

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