Published Papers - MURAKAWA Takehiko

花押を対象とした画像検索システムの改善の試み

石村隆博, 北國智己, 村川猛彦 （Part： Last author )

人文科学とコンピュータシンポジウム論文集, 情報処理学会シンポジウムシリーズ   2023 ( 1 ) 131 - 136   2023.12  [Refereed]

Construction of a Transcription Support System for Classical Documents with Reading Marks

田中勝, 村川猛彦, 宇都宮啓吾

情報処理学会論文誌ジャーナル(Web)   59 ( 2 ) 288 - 298   2018.02  [Refereed]

Online Judge Systems for Novice Programmers

Kazuki Tanaka, Takehiko Murakawa （Part： Last author )

第23回情報科学技術フォーラム(FIT2024)   ( 4 ) 73 - 80   2024.09

花押を対象とした画像検索システムの構築

石村隆博, 村川猛彦 （Part： Last author )

人文科学とコンピュータシンポジウム論文集, 情報処理学会シンポジウムシリーズ   2022 ( 1 ) 271 - 276   2022.12  [Refereed]

Constructing an Online Judging System to Support Programming Learning

Kazuki TANAKA, Takehiko MURAKAWA （Part： Last author )

Joho Chishiki Gakkaishi ( Japan Society of Information and Knowledge )  32 ( 2 ) 307 - 312   2022.05

DOI

Construction of an Image Comparison System for Kaou

岡野元春, 村本俊哉, 村川猛彦 （Part： Last author )

人文科学とコンピュータシンポジウム論文集, 情報処理学会シンポジウムシリーズ   2021 ( 1 ) 212 - 217   2021.12  [Refereed]

タイピングによるプログラミング学習のためのソースコード提示に関する一検討

村川猛彦

情報知識学会誌   31 ( 2 ) 244 - 251   2021.05

Development of a Multiple-Choice Question Generation Supporting System for Information Processing Subjects

Motoharu OKANO, Takahiro NOZAKI, Takehiko MURAKAWA （Part： Last author )

Joho Chishiki Gakkaishi ( Japan Society of Information and Knowledge )  30 ( 2 ) 248 - 255   2020.05

DOI

系図処理プログラムの改良―さらなる自動化を目指して

村川猛彦, 村田 亘平 （Part： Lead author )

人文科学とコンピュータシンポジウム論文集   2019 ( 1 ) 19 - 24   2019.12  [Refereed]

Towards Article Retrieval Support for a Disaster Article Database System

Takehiko MURAKAWA, Kenta HIGASHI （Part： Lead author )

Joho Chishiki Gakkaishi ( Japan Society of Information and Knowledge )  28 ( 4 ) 302 - 305   2018.12

DOI

系図処理プログラムの開発および公開

村川猛彦

情報処理学会研究報告 人文科学とコンピュータ   2018-CH-117 ( 7 ) 1 - 7   2018.05

系図からのデータ自動取得の試み

永井謙也, 村川猛彦, 大澤留次郎, 宇都宮啓吾

人文科学とコンピュータシンポジウム論文集(じんもんこん2017)   2017 ( 2 ) 15 - 22   2017.12  [Refereed]

CONSTRUCTION AND APPLICATON OF DISASTER ARTICLE DATABASE : ARTICLE COLLECTION, FULL-TEXT SEARCH, AND CONTENT ANALYSIS

村川 猛彦

和歌山大学災害科学教育研究センター研究報告   1   11 - 16   2017.03

DOI

Generation of Full-Text Services

MURAKAWA Takehiko

Joho Chishiki Gakkaishi ( Japan Society of Information and Knowledge )  27 ( 2 ) 219 - 224   2017

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<p> A program that works as a Docker container and generates information retrieval services was developed. When one sends documents, the program makes Dockerfile and other files which are a source of Docker containers for an information retrieval service. By using this program, the registered documents are indexed and we can afford a full-text search without releasing the possessed contents to the public or uploading them on cloud services. Furthermore we made evaluation experiments with more than 60,000 blog articles on disaster prevention.</p>

DOI

Construction of an e-learning system for information processing education

Youhei MATSUMOTO, Keisuke FUJIHARA, Takehiko MURAKAWA （Part： Last author )

Joho Chishiki Gakkaishi ( Japan Society of Information and Knowledge )  27 ( 2 ) 155 - 160   2017

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<p> Throughout information processing education provided for the first-year students of Faculty of Systems Engineering, Wakayama University, they did not adequately take an opportunity for review. To solve the problem we adopted e-learning which one can use anytime and anywhere and we constructed a system that supplies quintuple-choice tests about what the students learned in class. This system also helps the teachers discover inappropriate or unnecessary questions by means of the visualization of response variance. An evaluation experiment showed that a faulty question brought a lower accuracy rate while it took a longer time for the choice.</p>

DOI

訓点資料を対象とした翻刻支援システムの構築および評価

田中勝, 村川猛彦, 宇都宮啓吾

第15回情報科学技術フォーラム (FIT2016)   4   7 - 14   2016.09  [Refereed]

訓点資料における翻刻支援システムの構築

田中勝, 村川猛彦, 宇都宮啓吾

人文科学とコンピュータシンポジウム論文集(じんもんこん2015)   2015 ( 2 ) 263 - 268   2015.12  [Refereed]

Classification of Web Articles about Disaster Prevention and Reduction

硲石 浩文, 村川 猛彦

情報知識学会誌 ( 情報知識学会 )  24 ( 2 ) 184 - 188   2014.05

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Many people think about disaster prevention and reduction for real with increasing natural disasters such as earthquake and heavy rain. Web articles appear promising when we obtain information on disasters. However since there exist a number of articles about disasters, one cannot always get intended information or decide immediately that the articles are beneficial. In this research, we attempt an automatic classification of the articles for the purpose of a disaster article database that we will construct. The classifier takes out words from each article and uses machine learning for categorization where the article is labeled as one of "disaster prevention", "support", "heavy rain", and "earthquake". This paper describes the classifier together with a classification experiment.

DOI

Drawing System for Idea Creation Support

MURAKAWA Takehiko, MAKINO Shigekazu

Journal of Japan Society of Information and Knowledge ( Japan Society of Information and Knowledge )  24 ( 2 ) 133 - 138   2014

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During idea creation, storing information and knowledge into a computer for visualization makes clear the relationship among pieces of information and enables us to get the whole story of the design. In this research, we focused on M Method which supports a multispace design process, and developed the prototypes of generating Scalable Vector Graphics images that represent M Method charts. We defined the data structure in consideration of the fact that such a chart has a tree structure under the containment relationships, and the prototypes compute the coordinates of rectangular regions in a recursive way.

DOI

Experiment on Action Characteristics of Web Information Retrieval Based on User Types and Browsing Time

ENDOU Jun'ichi, MURAKAWA Takehiko

Journal of Japan Society of Information and Knowledge ( Japan Society of Information and Knowledge )  23 ( 2 ) 229 - 234   2013.05

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The researches that analyze the search histories of Web pages associated with the users' actions become popular to grasp the purpose of the search or to clarify the characteristics of the behavior.Although some works thought of the time of searching and browsing, those did not take into consideration the users' experiences, the knowledge or the page qualities. The goal of our research is to obtain the process of personal Web searching, focusing on relations between the users'characteristics or the page qualities and the times of information retrieval. This paper presents the overview and the results of the experiments.

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