Updated on 2026/03/12

写真a

 
OHBA Haruka
 
Organization
Faculty of Science and Engineering Research Associate
Contact information
The inquiry by e-mail is 《here》
External link

Degree

  • 博士（事業構想学） ( 宮城大学 )

  • 修士（理工学） ( 静岡理工科大学 )

Education

  • 2024.3
     

    Miyagi University   doctor course   completed

  • 2020.3
     

    Shizuoka Institute of Science and Technology   master course   completed

  • 2018.3
     

    Shizuoka Institute of Science and Technology   withdrawn before completion

Research History

  • 2025.4 - Now

    Chuo University   Faculty of Science and Engineering Department of Data Science for Business Innovation   Assistant Professor

  • 2025.4 - Now

    Shizuoka Institute of Science and Technology   Center for Advanced Technology

  • 2020.4 - 2025.3

    Shizuoka Institute of Science and Technology

Professional Memberships

  • 　 - Now

    Japan Social Data Science Society

  • 　 - Now

    The Operations Research Society of Japan

  • 　 - Now

    Japan Industrial Management Association

Research Areas

  • Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Social systems engineering

Papers

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MISC

  • 地理的状況を考慮した原子力災害時における避難シミュレーション

    大場春佳, 水野信也

    日本経営工学会 2024 年春季大会 Web 予稿集   42 - 43   2024.5

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  • 原子力災害時における避難行動要支援者の避難モデルの構築

    大場春佳, 水野信也

    日本オペレーションズ・リサーチ学会 2024年春季研究発表会アブストラクト集   86 - 87   2024.3

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  • Construction of a Regional Healthcare Model Using Bayesian Networks and Open Data

    Kawashima Miyako, Ohba Haruka, Mizuno Shinya

    Abstracts of Annual Conference of Japan Society for Management Information   202311   181 - 184   2024.1

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    Language：English   Publisher：THE JAPAN SOCIETY FOR MANAGEMENT INFORMATION (JASMIN)  

    In Japan, it's required to utilize local government health data, but challenges arise due to its vast scale and the complexity of creating understandable models. A study employed Bayesian networks for regional medical analysis, using U.S. open data for evaluation. While networks built with feature selection algorithms were less accurate than fully connected ones, they were better in terms of model complexity. Interestingly, the model revealed a higher proportion of high blood pressure among non-smokers, possibly due to nicotine's effects on appetite and stress. Future analysis will use KDB to understand regional health patterns.

    DOI： 10.11497/jasmin.202311.0_181

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  • 学校給食施設のコンサルティングによる提案事例 : これからの学校給食のあり方へ—特集 課題を解決する業務用電化厨房

    澤田 政志, 大場 春佳, 水野 信也

    エレクトロヒート   44 ( 5 )   7 - 11   2024

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    Language：Japanese   Publisher：東京 : 日本エレクトロヒートセンター  

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    Other Link： https://ndlsearch.ndl.go.jp/books/R000000004-I033283426

  • 給食センター配送計画の最適化の取り組み

    大場春佳, 石塚 浩司, 水野信也

    日本オペレーションズ・リサーチ学会 2023年秋季研究発表会アブストラクト集   154 - 155   2023.9

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  • 実社会における施設内密集度評価のためのシミュレーション構築

    加藤 悠宇汰, 大場 春佳, 水野 信也

    研究報告インターネットと運用技術（IOT）   2021-IOT-55 ( 6 )   1 - 6   2021.8

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  • Development of a Sunset Prediction System and Creating Tourism

    Kumazaki Kento, Ohba Haruka, Sadakuni Shingo, Matsuda Takashi, Mizuno Shinya

    Abstracts of Annual Conference of Japan Society for Management Information   202011   81 - 84   2021.1

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    Language：Japanese   Publisher：THE JAPAN SOCIETY FOR MANAGEMENT INFORMATION (JASMIN)  

    The purpose of this study is to record, predict, and deliver beautiful moments in everyday landscape, and to derive potential tourism resources. We re-evaluate our everyday landscape, focusing on the sunset. First, we calculate a color distribution using RGB distance from teacher images. Next, we calculate a similarity of a color distribution between image of the fixed-point camera and teacher image to obtain a degree of beautiful sunset. Next, forecast dataset is created from open data, and this model is constructed using a stepwise method and logistic regression. This case, we confirm that there is more than 80% probability of forecasting a sunset. In the future, we will make this model able to use everyday landscapes as local tourism resources.

    DOI： 10.11497/jasmin.202011.0_81

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  • User behavior acquisition using Markov chain from Wi-Fi log

    Shinba Masaki, Ohba Haruka, Suzuki Yusuke, Mizuno Shinya

    Abstracts of Annual Conference of Japan Society for Management Information   202011   9 - 12   2021.1

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    Language：Japanese   Publisher：THE JAPAN SOCIETY FOR MANAGEMENT INFORMATION (JASMIN)  

    In this research, we analyze the Wi-Fi log created every day in the recent widespread Wi-Fi environment, and make an effort to acquire user behavior. First, since Wi-Fi log will be huge and a calculation time to get users transitions will be very long, so we propose an algorithm for calculating the transition probability matrix and show a calculation time as a guideline for . Moreover, in order to confirm an ergodicity, that is the basic property of Markov chains, from the obtained transition probability matrix, we clarify a relationship between sites from a directed graph. By using basic properties of Markov chains of the transition probabilities obtained from Wi-Fi logs, we aim to get users behavior.

    DOI： 10.11497/jasmin.202011.0_9

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  • Construction and Operation of a Density Detection System

    2020   101 - 102   2020.11

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  • Development a blockchain queueing simulation

    2020   99 - 100   2020.11

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  • Use of a Queuing Model for Optimal Node Placement

    Ikegaya Kastuki, Ohba Haruka, Mizuno Shinya

    Abstracts of Annual Conference of Japan Society for Management Information   201910   155 - 158   2019.12

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    Language：Japanese   Publisher：THE JAPAN SOCIETY FOR MANAGEMENT INFORMATION (JASMIN)  

    Recently, the shared use of mobile tools has been expanding, such as bicycles and cars being provided in areas designated for rental bicycles. However, concentrating on mobile tools at a node is a critical issue. To resolve this problem, we use a BCMP network to calculate the average standby number and average waiting time for the mobile tools at each node, and then select an optimal node from among the candidate nodes. User trends and demand for usage of mobile tools are fluctuating, and in many cases, patterns cannot be considered using only basic statistical information such as averaging assuming stationarity. We try to realistically simulate by categorizing people into family, couple, child and adult, and so on.

    DOI： 10.11497/jasmin.201910.0_155

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  • Visualization of leftovers of school lunch and approaches to the future

    Ohba Haruka, Ishizuka Koji, Nishida Kaori, Ohishi Takayuki, Mizuno Shinya

    Abstracts of Annual Conference of Japan Society for Management Information   2018t06   9 - 12   2018

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    Language：Japanese   Publisher：THE JAPAN SOCIETY FOR MANAGEMENT INFORMATION (JASMIN)  

    The importance of school lunch has been increasing in recent years. In this study, we analyzed the leftovers food using the data science and considered the future approach to providing the school lunch that is desirable for children. Feeding leftovers data we used were provided by Fukuroi City, Shizuoka. From the basic analysis, we showed not only the weight of the leftovers but also the necessity of analysis for each nutrient. And using the school lunch instruction standard, we checked the state of intake of necessary nutrients. In the future we will increase the number of data and analyze throughout the year. We also would like to consider the relevance to climate, events, and growth by linking with open data.

    DOI： 10.11497/jasmin.2018t06.0_9

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    Other Link： http://id.ndl.go.jp/bib/029585579

  • Using Timestamps and Eye-Tracking for an Effective Utilization of Video Content and the Construction of its Platform

    Unno Moe, Ohba Haruka, Mizuno Shinya

    Abstracts of Annual Conference of Japan Society for Management Information   2018t06   24 - 27   2018

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    Language：Japanese   Publisher：THE JAPAN SOCIETY FOR MANAGEMENT INFORMATION (JASMIN)  

    Today, universities are actively making their lectures accessible to the<br>public. This research will use timestamps and eye-tracking in order to measure the utilization of video content. A timestamp in this context refers to elapsed time since the start of the video, and it is linked to a viewer. By using this timestamp, it be able to clarify their previously vague ideas in a relatively clear manner. On the other hand, Eye tracking can visualize the potential movement of video viewers and clarify viewers' focus points. And we can feed back to lecture material. We will also construct a platform where this timestamp and eye-tracking can be utilized, and support wide-ranging utilization of video content.

    DOI： 10.11497/jasmin.2018t06.0_24

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  • CA10-1 災害時における二次医療圏でみた医療提供能力の比較

    大場 春佳, 水野 信也, 藤澤 由和, 筧 淳夫

    日本行動計量学会大会抄録集   45   338 - 339   2017.8

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    Language：Japanese   Publisher：日本行動計量学会  

    DOI： 10.20742/pbsj.45.0_338

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Presentations

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Works

Awards

  • グランプリ

    2022.1   Japan DevNet イノベーション チャレンジ 2021（旧称 シスコテクノロジーコンテスト）   Webex × 教育 = "未来の教室"を目指した講義支援システム

    静岡理工科大学 チーム CISTO (Cisco×SIST), 大場春佳, 水野信也, 櫻井将人

  • CPA賞

    2020.2   三遠南信地域連携ビジョン推進会議   私の好きな袋井市：一生を過ごせる街

    熊崎健斗, 播磨宏哉, 大場春佳, 水野信也

  • ポスターセッション学生優秀発表賞

    2019.10   日本経営情報学会   最適拠点配置への待ち行列モデルの利用

    池ヶ谷克基, 大場春佳, 水野信也

  • Best Presentation Award

    2019.3   日本経営工学会   ベイジアンネットワークを用いたWindshear Warning発生要因の考察

    大場春佳

Research Projects

  • Reduction of Basic Nursing Workload and Optimization of Interrupted Task Distribution through Bayesian Network Analysis

    Grant number：25K13690  2025.4 - 2028.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)  Tokyo Health Care University

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    Grant amount： \4160000 （ Direct Cost: \3200000 、 Indirect Cost： \960000 ）

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  • 履修科目外の教育機会がもたらす学生の学習意欲向上・キャリア意識に関する研究

    2024.4 - 2025.3

    静岡理工科大学  令和6年度提案型教育研究費  課題解決型教育プロジェクト 

    水野 善裕, 谷川 邦, 氏原 秀之, 夏目 岳彦, 大場 春佳

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    Authorship：Coinvestigator(s) 

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  • 履修科目外の教育機会がもたらす学生と大学への影響に関する考察と資格取得サポート体制の在り方の提案

    2023.4 - 2024.3

    静岡理工科大学  令和5年度提案型教育研究費  課題解決型教育プロジェクト 

    水野 善裕, 谷川 邦, 氏原 秀之, 深野 竹識, 大場 春佳

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  • Construction of bases to develop non-technical skills for medical doctors

    Grant number：16H05210  2016.4 - 2019.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)  Chiba University

    Souma Takahiro, OHBA haruka

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    Grant amount： \16120000 （ Direct Cost: \12400000 、 Indirect Cost： \3720000 ）

    We have tried to build e-learning system, which would be suitable for even latest simulating environments, to make medical doctors to be able to learn non-technical skills easily and effectively. The system could not only gather data about learning outcomes of learners, but also manage them. And it had a function of making feedback of results of learns’ learning outcome to themselves effectively. And we evaluate effectiveness of this system in terms of its feedback functioning and feasibility of this system.

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