Faculty Profiles - MIURA Hirokazu

写真a

MIURA Hirokazu

Name of department

Organization for Liberal Arts, Science and Education, Data Intelligence Education and Research Division

Job title

Lecturer

Mail Address

External link

Education

1999

-

2003

Osaka University 工学研究科通信工学専攻
1995

-

1999

Osaka University School of Engineering 通信工学科
-

2016

大阪府立大学

Degree

doctor(Engineering)

Association Memberships

IEEE
電子情報通信学会

Research Areas

Informatics / Intelligent informatics
Informatics / Information networks

Classes (including Experimental Classes, Seminars, Graduation Thesis Guidance, Graduation Research, and Topical Research)

2023 Introduction to Data Science B Liberal Arts and Sciences Subjects
2023 Introduction to Data Science A Liberal Arts and Sciences Subjects
2023 Invitation to Data Science B Liberal Arts and Sciences Subjects
2023 Practical Data Science Cooperative Development Subjects
2023 Practical Data Science Cooperative Development Subjects
2023 Invitation to Data Science A Liberal Arts and Sciences Subjects
2023 PBL for Mathematical, Data Science and AI Application Cooperative Development Subjects
2023 Advanced Data Science Cooperative Development Subjects
2023 Data Science Basics Cooperative Development Subjects
2023 Introductory Seminar in Systems Engineering Specialized Subjects
2023 Intelligent Informatics Seminar Specialized Subjects
2023 Experiments for Information Systems Specialized Subjects
2023 Exercises in fundamentals of artificial intelligence Specialized Subjects
2022 Advanced Data Science Cooperative Development Subjects
2022 Data Science Basics Cooperative Development Subjects
2022 PBL for Mathematical, Data Science and AI Application Cooperative Development Subjects
2022 Practical Data Science Cooperative Development Subjects
2022 Introduction to Artificial Intelligence Cooperative Development Subjects
2022 Invitation to Artificial Intelligence Cooperative Development Subjects
2022 Introduction to Data Science B Liberal Arts and Sciences Subjects
2022 Introduction to Data Science A Liberal Arts and Sciences Subjects
2022 Invitation to Data Science B Liberal Arts and Sciences Subjects
2022 Invitation to Data Science A Liberal Arts and Sciences Subjects
2022 Intelligent Informatics Seminar Specialized Subjects
2022 Exercises in fundamentals of artificial intelligence Specialized Subjects
2022 Experiments for Information Systems Specialized Subjects
2021 Intelligent Informatics Seminar Specialized Subjects
2021 Exercises in fundamentals of artificial intelligence Specialized Subjects
2021 Experiments for Information Systems Specialized Subjects
2021 Introductory Seminar in Systems Engineering Specialized Subjects
2021 Introduction to Data Science B Liberal Arts and Sciences Subjects
2021 Advanced Data ScienceB Cooperative Development Subjects
2021 Introduction to Data Science A Liberal Arts and Sciences Subjects
2021 Advanced Data ScienceA Cooperative Development Subjects
2021 Invitation to Data Science B Liberal Arts and Sciences Subjects
2021 Invitation to Data Science B Liberal Arts and Sciences Subjects
2021 Data Science BasicsB Cooperative Development Subjects
2021 Introduction to Artificial Intelligence Cooperative Development Subjects
2021 Invitation to Data Science A Liberal Arts and Sciences Subjects
2021 Invitation to Data Science A Liberal Arts and Sciences Subjects
2021 Data Science BasicsA Cooperative Development Subjects
2021 Invitation to Artificial Intelligence Cooperative Development Subjects
2021 PBL for Mathematical, Data Science and AI Application Cooperative Development Subjects
2020 Introduction to Artificial Intelligence Cooperative Development Subjects
2020 Invitation to Artificial Intelligence Cooperative Development Subjects
2020 Advanced Data Science II Cooperative Development Subjects
2020 Advanced Data Science I Cooperative Development Subjects
2020 Data Science Basics II Cooperative Development Subjects
2020 Data Science Basics I Cooperative Development Subjects
2020 Introduction to Data Science B Liberal Arts and Sciences Subjects
2020 Introduction to Data Science A Liberal Arts and Sciences Subjects
2020 Invitation to Data Science B Liberal Arts and Sciences Subjects
2020 Invitation to Data Science B Liberal Arts and Sciences Subjects
2020 Invitation to Data Science B Liberal Arts and Sciences Subjects
2020 Invitation to Data Science A Liberal Arts and Sciences Subjects
2020 Invitation to Data Science A Liberal Arts and Sciences Subjects
2020 Invitation to Data Science A Liberal Arts and Sciences Subjects
2020 Exercises in fundamentals of artificial intelligence Specialized Subjects
2020 Experiments for Information Systems Specialized Subjects
2020 Intelligent Informatics Seminar Specialized Subjects
2019 Introduction to Data Science Liberal Arts and Sciences Subjects
2019 Invitation to Data Science Liberal Arts and Sciences Subjects
2018 Graduation Research Specialized Subjects
2018 Experiments for Information Systems Specialized Subjects
2018 Intelligent Informatics Seminar Specialized Subjects
2018 Intelligent System Seminar Specialized Subjects
2017 NA Liberal Arts and Sciences Subjects
2017 Intelligent System Seminar Specialized Subjects
2017 Graduation Research Specialized Subjects
2017 Experiments for Information Systems Specialized Subjects
2016 Knowledge System Seminar Specialized Subjects
2016 Graduation Research Specialized Subjects
2016 Introductory Seminar in Systems Engineering Specialized Subjects
2015 Graduation Research Specialized Subjects
2015 Knowledge System Seminar Specialized Subjects
2015 Graduation Research Specialized Subjects
2015 Computer and Communication SciencesExperiment Specialized Subjects
2014 Graduation Research Specialized Subjects
2014 Graduation Research Specialized Subjects
2014 Knowledge System Seminar Specialized Subjects
2014 Computer and Communication SciencesExperiment Specialized Subjects
2014 Introductory Seminar Liberal Arts and Sciences Subjects
2013 Graduation Research Specialized Subjects
2013 Graduation Research Specialized Subjects
2013 Knowledge System Seminar Specialized Subjects
2013 Computer and Communication SciencesExperiment Specialized Subjects
2012 Graduation Research Specialized Subjects
2012 Computer and Communication SciencesExperiment Specialized Subjects
2012 Introductory Seminar Liberal Arts and Sciences Subjects
2012 Knowledge System Seminar Specialized Subjects
2012 Graduation Research Specialized Subjects
2012 Computer and Communication SciencesExperiment Specialized Subjects
2011 Graduation Research Specialized Subjects
2011 Computer and Communication SciencesExperiment Specialized Subjects
2011 Knowledge System Seminar Specialized Subjects
2010 Graduation Research Specialized Subjects
2010 Computer and Communication SciencesExperiment Specialized Subjects
2010 NA Specialized Subjects
2010 Knowledge System Seminar Specialized Subjects
2010 Introductory Seminar Liberal Arts and Sciences Subjects
2009 Knowledge System Seminar Specialized Subjects
2009 Computer and Communication SciencesExperiment Specialized Subjects
2009 Graduation Research Specialized Subjects
2008 NA Specialized Subjects
2008 NA Specialized Subjects
2008 Knowledge System Seminar Specialized Subjects
2008 Computer and Communication SciencesExperiment Specialized Subjects
2008 Graduation Research Specialized Subjects
2008 Introductory Seminar Liberal Arts and Sciences Subjects
2007 NA Specialized Subjects
2007 Knowledge System Seminar Specialized Subjects
2007 Computer and Communication SciencesExperiment Specialized Subjects
2007 Graduation Research Specialized Subjects

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Satellite Courses

2021 IT Society and Data Science Cooperative Development Subjects

Classes

2023 Systems Engineering SeminarⅠA Master's Course
2023 Systems Engineering SeminarⅠB Master's Course
2023 Systems Engineering SeminarⅡA Master's Course
2023 Systems Engineering SeminarⅡB Master's Course
2023 Information Network Master's Course
2023 Systems Engineering Project SeminarⅠA Master's Course
2023 Systems Engineering Project SeminarⅠB Master's Course
2023 Systems Engineering Project SeminarⅡA Master's Course
2023 Systems Engineering Project SeminarⅡB Master's Course
2023 Systems Engineering Advanced Seminar Ⅰ Doctoral Course
2023 Systems Engineering Advanced Seminar Ⅰ Doctoral Course
2023 Systems Engineering Advanced Seminar Ⅱ Doctoral Course
2023 Systems Engineering Advanced Seminar Ⅱ Doctoral Course
2023 Systems Engineering Advanced Research Doctoral Course
2023 Systems Engineering Advanced Research Doctoral Course
2023 Systems Engineering Global Seminar Ⅰ Doctoral Course
2023 Systems Engineering Global Seminar Ⅰ Doctoral Course
2023 Systems Engineering Global Seminar Ⅱ Doctoral Course
2023 Systems Engineering Global Seminar Ⅱ Doctoral Course
2022 Systems Engineering SeminarⅠA Master's Course
2022 Systems Engineering Global Seminar Ⅱ Doctoral Course
2022 Systems Engineering Global Seminar Ⅰ Doctoral Course
2022 Systems Engineering Advanced Research Doctoral Course
2022 Systems Engineering Advanced Seminar Ⅱ Doctoral Course
2022 Systems Engineering Advanced Seminar Ⅰ Doctoral Course
2022 Systems Engineering Project SeminarⅡB Master's Course
2022 Systems Engineering Project SeminarⅡA Master's Course
2022 Systems Engineering Project SeminarⅠB Master's Course
2022 Systems Engineering Project SeminarⅠA Master's Course
2022 Information Network Master's Course
2022 Systems Engineering SeminarⅡB Master's Course
2022 Systems Engineering SeminarⅡA Master's Course
2022 Systems Engineering SeminarⅠB Master's Course
2021 Introduction to Artificial Intelligence Master's Course
2021 Information Network Master's Course
2021 Systems Engineering Global Seminar Ⅱ Doctoral Course
2021 Systems Engineering Global Seminar Ⅰ Doctoral Course
2021 Systems Engineering Advanced Research Doctoral Course
2021 Systems Engineering Advanced Seminar Ⅱ Doctoral Course
2021 Systems Engineering Advanced Seminar Ⅰ Doctoral Course
2021 Systems Engineering Project SeminarⅡB Master's Course
2021 Systems Engineering Project SeminarⅡA Master's Course
2021 Systems Engineering Project SeminarⅠB Master's Course
2021 Systems Engineering Project SeminarⅠA Master's Course
2021 Systems Engineering SeminarⅡB Master's Course
2021 Systems Engineering SeminarⅡA Master's Course
2021 Systems Engineering SeminarⅠB Master's Course
2021 Systems Engineering SeminarⅠA Master's Course
2020 Systems Engineering Global Seminar Ⅱ Doctoral Course
2020 Systems Engineering Global Seminar Ⅰ Doctoral Course
2020 Systems Engineering Advanced Research Doctoral Course
2020 Systems Engineering Advanced Seminar Ⅱ Doctoral Course
2020 Systems Engineering Advanced Seminar Ⅰ Doctoral Course
2020 Systems Engineering Project SeminarⅡB Master's Course
2020 Systems Engineering Project SeminarⅡA Master's Course
2020 Systems Engineering Project SeminarⅠB Master's Course
2020 Systems Engineering Project SeminarⅠA Master's Course
2020 Information Network Master's Course
2020 Systems Engineering SeminarⅡB Master's Course
2020 Systems Engineering SeminarⅡA Master's Course
2020 Systems Engineering SeminarⅠB Master's Course
2020 Systems Engineering SeminarⅠA Master's Course
2019 Systems Engineering SeminarⅡB Master's Course
2019 Systems Engineering SeminarⅡA Master's Course
2019 Systems Engineering SeminarⅠB Master's Course
2019 Systems Engineering Project SeminarⅠA Master's Course
2019 Systems Engineering Project SeminarⅡB Master's Course
2019 Systems Engineering Project SeminarⅡA Master's Course
2019 Systems Engineering Project SeminarⅠB Master's Course
2019 Systems Engineering SeminarⅠA Master's Course
2019 Information Network Master's Course
2018 Systems Engineering Global Seminar Ⅱ Doctoral Course
2018 Systems Engineering Global Seminar Ⅱ Doctoral Course
2018 Systems Engineering Advanced Research Doctoral Course
2018 Systems Engineering Advanced Seminar Ⅱ Doctoral Course
2018 Systems Engineering Advanced Seminar Ⅱ Doctoral Course
2018 Systems Engineering Project SeminarⅡB Master's Course
2018 Systems Engineering Project SeminarⅡA Master's Course
2018 Systems Engineering Project SeminarⅠB Master's Course
2018 Systems Engineering Project SeminarⅠA Master's Course
2018 Systems Engineering SeminarⅡB Master's Course
2018 Systems Engineering SeminarⅡA Master's Course
2018 Systems Engineering SeminarⅠB Master's Course
2018 Systems Engineering SeminarⅠA Master's Course
2018 Information Network Master's Course
2017 Information Network Master's Course
2017 Systems Engineering Advanced Research Doctoral Course
2017 Systems Engineering Advanced Seminar Ⅱ Doctoral Course
2017 Systems Engineering Advanced Research Doctoral Course
2017 Systems Engineering Advanced Seminar Ⅱ Doctoral Course
2017 Systems Engineering Project SeminarⅡB Master's Course
2017 Systems Engineering Project SeminarⅡA Master's Course
2017 Systems Engineering Project SeminarⅠB Master's Course
2017 Systems Engineering Project SeminarⅠA Master's Course
2017 Systems Engineering SeminarⅡB Master's Course
2017 Systems Engineering SeminarⅡA Master's Course
2017 Systems Engineering SeminarⅠB Master's Course
2017 Systems Engineering SeminarⅠA Master's Course
2016 Systems Engineering Advanced Research Doctoral Course
2016 Systems Engineering Advanced Research Doctoral Course
2016 Systems Engineering Advanced Seminar Ⅰ Doctoral Course
2016 Systems Engineering Advanced Seminar Ⅰ Doctoral Course
2016 Systems Engineering Project SeminarⅡB Master's Course
2016 Systems Engineering Project SeminarⅡA Master's Course
2016 Systems Engineering Project SeminarⅠB Master's Course
2016 Systems Engineering Project SeminarⅠA Master's Course
2016 Systems Engineering SeminarⅡB Master's Course
2016 Systems Engineering SeminarⅡA Master's Course
2016 Systems Engineering SeminarⅠB Master's Course
2016 Systems Engineering SeminarⅠA Master's Course
2015 Systems Engineering Advanced Seminar Ⅰ
2015 Systems Engineering Advanced Research
2015 Systems Engineering SeminarⅡA
2015 Systems Engineering SeminarⅠA
2015 Systems Engineering Project SeminarⅡA
2015 Systems Engineering Project SeminarⅠA
2015 Systems Engineering Advanced Seminar Ⅰ
2015 Systems Engineering Advanced Research
2015 Systems Engineering SeminarⅡB
2015 Systems Engineering SeminarⅠB
2015 Systems Engineering Project SeminarⅡB
2015 Systems Engineering Project SeminarⅠB
2014 Systems Engineering Advanced Research
2014 Systems Engineering Advanced Research
2014 Systems Engineering Advanced Seminar Ⅱ
2014 Systems Engineering Advanced Seminar Ⅱ
2014 Systems Engineering Advanced Seminar Ⅰ
2014 Systems Engineering Advanced Seminar Ⅰ
2014 Systems Engineering Project SeminarⅡB
2014 Systems Engineering Project SeminarⅡA
2014 Systems Engineering Project SeminarⅠB
2014 Systems Engineering Project SeminarⅠA
2014 Systems Engineering SeminarⅡB
2014 Systems Engineering SeminarⅡA
2014 Systems Engineering SeminarⅠB
2014 Systems Engineering SeminarⅠA
2013 Systems Engineering Advanced Research
2013 Systems Engineering Advanced Research
2013 Systems Engineering Advanced Seminar Ⅱ
2013 Systems Engineering Advanced Seminar Ⅱ
2013 Systems Engineering Advanced Seminar Ⅰ
2013 Systems Engineering Advanced Seminar Ⅰ
2013 Systems Engineering Project SeminarⅡB
2013 Systems Engineering Project SeminarⅡA
2013 Systems Engineering Project SeminarⅠB
2013 Systems Engineering Project SeminarⅠA
2013 Systems Engineering SeminarⅡB
2013 Systems Engineering SeminarⅡA
2013 Systems Engineering SeminarⅠB
2013 Systems Engineering SeminarⅠA
2012 Systems Engineering Advanced Seminar Ⅱ
2012 Systems Engineering Advanced Seminar Ⅰ
2012 Systems Engineering Advanced Research
2012 Systems Engineering SeminarⅡA
2012 Systems Engineering SeminarⅠA
2012 Systems Engineering Project SeminarⅡA
2012 Systems Engineering Project SeminarⅠA
2012 Systems Engineering Advanced Seminar Ⅱ
2012 Systems Engineering Advanced Seminar Ⅰ
2012 Systems Engineering Advanced Research
2012 Systems Engineering SeminarⅡB
2012 Systems Engineering SeminarⅠB
2012 Systems Engineering Project SeminarⅡB
2012 Systems Engineering Project SeminarⅠB
2011 Systems Engineering Project SeminarⅡB
2011 Systems Engineering Project SeminarⅡA
2011 Systems Engineering Project SeminarⅠB
2011 Systems Engineering Project SeminarⅠA
2011 Systems Engineering Advanced Research
2011 Systems Engineering Advanced Research
2011 NA
2011 NA
2011 Systems Engineering Advanced Seminar Ⅱ
2011 Systems Engineering Advanced Seminar Ⅱ
2011 Systems Engineering Advanced Seminar Ⅰ
2011 Systems Engineering Advanced Seminar Ⅰ
2010 NA Master's Course
2010 NA Master's Course
2010 NA Master's Course
2010 NA Master's Course
2009 NA Master's Course
2009 NA Master's Course
2009 NA Master's Course
2009 NA Master's Course
2008 NA Master's Course
2008 NA Master's Course
2008 NA Master's Course
2008 NA Master's Course
2007 NA Master's Course
2007 NA Master's Course
2007 NA Master's Course
2007 NA Master's Course

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Research Interests

active network
server selection
CDN
Load balancing

Published Papers

Effective Life and Area Based Data Storing and Deployment in Vehicular Ad-Hoc Networks

Hirokazu Miura, Hideki Tode, Hirokazu Taki

International Journal of Scientific Research, Communications and Network vol.7, no.3 pp.146-157 2015.08 [Refereed]
Reviewing system of writing for hospital nurses

Hideyuki Kano, Hirotaka Nishiyama, Koji Tanaka, Liang Cui, Noriyuki Matsuda, Hirokazu Miura, Mitsuru Ikeda, Hirokazu Taki

Work-In-Progress Poster - Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014 ( Asia-Pacific Society for Computers in Education ) 1 - 3 2014

　View Summary

This paper describes a system to aid in reviewing writing by nurses. Since 2010, we have held workshops for hospital nurses to help reduce the problem of burnout among the occupation. In workshops, novice nurses write about their specific experiences in their work. A tutor reviews their writing, and provides advice to help nurses think about their jobs differently despite their individual difficulties. To design our system, we investigated words from tutors' reviews and have constructed a reviewing ontology. Our system provides young tutors comments based on the words they use in reviewing. We expect this system can help provide a scaffold for tutors to review writings.
移動方向情報のみを利用した空中手書き文字認

西田好宏、小倉一孝、三浦浩一、松田憲幸、瀧寛和、安部憲広

ヒューマンインタフェース学会論文誌 Vol.12, No.3 pp.289-296 2010.08 [Refereed]
Real time interpolation of haptic information using case base

Takayuki Toki, Hirokazu Taki, Hirokazu Miura, Noriyuki Matsuda, Masato Soga, Norihiro Abe

Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10 1006 - 1009 2010

　View Summary

This paper has described a real time interpolation technology for haptic information using case base. To share haptic data in multiple points, we must send complete haptic data. However, in the transmission line, packet loss and noise are occurred sometimes. In this situation, users don't sense correct force. We developed new interpolation method for haptic sense data without conventional mathematical approach. We can interpolate haptic information lag and loss using case-based approach. In our method, the system selects a suitable case and reconfigures it to fit the error. © 2010 ISAROB.
Evaluation of the Integration Effect of Content Location and Request Routing in Content Distribution Networks

Hirokazu Miura, Miki Yamamoto

IPSJ Digital Courier ( Information and Media Technologies Editorial Board ) 3 ( 1 ) Vol. 4 (2008) pp.1-8 - 155 2008.01 [Refereed]

　View Summary

Recently the content distribution networks (CDNs) have been highlighted as the new network paradigm which can improve latency for Web access. In CDNs, the content location strategy and request routing techniques are important technical issues. Both of them should be used in an integrated manner in general, but CDN performance applying both these technologies has not been evaluated in detail. In this paper, we investigate the effect of integration of these techniques. For request routing, we focus on a request routing technique applied active network technology, Active Anycast, which improves both network delay and server processing delay. For content distribution technology, we propose a new strategy, <i>Popularity-Probability</i>, whose aim corresponds with that of Active Anycast. Performance evaluation results show that integration of Active Anycast and <i>Popularity-Probability</i> can hold stable delay characteristics.

DOI
Analysis of continuous tracks of online aerial handwritten character recognition

Kazutaka Ogura, Yoshihiro Nishida, Hirokazu Miura, Noriyuki Matsuda, Hirokazu Taki, Norihiro Abe

KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 3, PROCEEDINGS ( SPRINGER-VERLAG BERLIN ) 5179 687 - + 2008 [Refereed]

　View Summary

This paper describes the on-line handwritten character recognition method in an arbitrary place without the information of up and down moving of the pen lifting. This method can be applied to the character interface (aerial handwritten character recognition device) with which the user moves the hand in the air. To realize the system, we selected the gyro sensor for the aerial handwritten character recognition device. This device can detect the moving direction. The advantage of this device is able to be used anytime and anywhere like a pen. It is not necessary to preparer the table in order to detect absolute position. We developed the blackboard model recognition system that includes 2 types DP matching recognition programs. The system is able to recognize the Japanese hiragana characters in 84% accuracy.
自閉症者の認知発達段階に特化した学習者モデルに基づくデジタル教材製作支援

小川修史、松田憲幸、三浦浩一、瀧寛和

電子情報通信学会論文誌 D Vol.J90-D No.12 ( The Institute of Electronics, Information and Communication Engineers ) 90 ( 12 ) pp.3192-3200 - 3200 2007.12 [Refereed]

　View Summary

筆者らは,自閉症者を対象としたディジタル教材の個別製作支援システムの開発を行っている.特に,本論文では自閉症者の認知面における発達段階を考慮したディジタル教材の製作支援法について述べる.主要な課題として,学習者の認知発達段階を表現する手法と,認知発達段階をディジタル教材に反映させる手法の2点が挙げられる.筆者らは前者に対し,指導者がディジタル教材製作時に想定する自閉症者の認知発達段階に特化した学習者モデルを構築することにより解決した.一方,後者に対しては,学習者モデルとディジタル教材の関係を教材構成知識で記述することにより解決した.システムを用いた評価の結果,学習者モデルを用いた教材製作の有効性が示唆された.
Authoring System of Digital Educational Content Based on Student Model Concerning Development Stage of Autistic Person

Hisashi Ogawa, Noriyuki Matsuda, Hirokazu Miura, Hirokazu Taki

SUPPORTING LEARNING FLOW THROUGH INTEGRATIVE TECHNOLOGIES ( IOS PRESS ) 162 105 - + 2007 [Refereed]

　View Summary

This paper describes the production of digital educational content which is reflected development stage of each autistic person. There are issues to model learner's developmental stage and to reflect it to the digital educational content. Therefore, we propose student model which consists of three acknowledgement skills (Language, Figure, and Matching) and correspondence rules which describes the relation between the student model and the digital educational content. Then, we developed the authoring system which consists of the student model and the correspondence rules. Instructors evaluated this system. Effectiveness of the system is turned out by the evaluation.
An Interpretation Method for Classification Trees in Bio-data Mining

Shigeki Kozakura, Hisashi Ogawa, Hirokazu Miura, Noriyuki Matsuda, Hirokazu Taki, Satoshi Hori, Norihiro Abe

Lecture Notes in Computer Science ( Springer Berlin Heidelberg ) 620 - 627 2006

DOI
Improvement of relief algorithm to prevent inpatient's downfall accident with nightvision CCD camera

Noriyuki Matsuda, Takeshi Yamamoto, Shinobu On, Kumiko Mori, Yoshiko Kounose, tsuko Maeda, Hirokazu Miura, Hirokazu Taki, Satoshi Hori, Noriyuki Abe

Proc. SPIE 6051, Optomechatronic Machine Vision, 605118 2005.12 [Refereed]

　View Summary

"ROSAI" hospital, Wakayama City in Japan, reported that inpatient's bed-downfall is one of the most serious accidents in hospital at night. Many inpatients have been having serious damages from downfall accidents from a bed. To prevent accidents, the hospital tested several sensors in a sickroom to send warning-signal of inpatient's downfall accidents to a nurse. However, it sent too much inadequate wrong warning about inpatients' sleeping situation. To send a nurse useful information, precise automatic detection for an inpatient's sleeping situation is necessary. In this paper, we focus on a clustering-algorithm which evaluates inpatient's situation from multiple angles by several kinds of sensor including night-vision CCD camera. This paper indicates new relief algorithm to improve the weakness about exceptional cases.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

DOI
Constructive Induction-Based Clustering Method for Ubiquitous Computing Environments.

Takeshi Yamamoto, Hirokazu Taki, Noriyuki Matsuda, Hirokazu Miura, Satoshi Hori, Noriyuki Abe

136 - 142 2005

DOI
Indoor Location Determination Using a Topological Model.

Junichi Sakamoto, Hirokazu Miura, Noriyuki Matsuda, Hirokazu Taki, Noriyuki Abe, Satoshi Hori

143 - 149 2005

DOI
Construction of Conscious Model Using Reinforcement Learning.

Masafumi Kozuma, Hirokazu Taki, Noriyuki Matsuda, Hirokazu Miura, Satoshi Hori, Norihiro Abe

175 - 180 2004

DOI
Advice Recording Method for a Lesson with Computers.

Katsuyuki Harada, Noriyuki Matsuda, Hirokazu Miura, Hirokazu Taki, Satoshi Hori, Norihiro Abe

181 - 187 2004

DOI
Content Routing with Network Support Using Passive Measurement in Content Distribution Networks

Hirokazu Miura, Miki Yamamoto （Part： Lead author )

IEICE Transactions on Communications, Special Issue on Content Delivery Networks E86-B ( 6 ) 1805 - 1811 2003.06 [Refereed]
Content routing with network support using passive measurement in content distribution networks

H Miura, M Yamamoto

ELEVENTH INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS AND NETWORKS, PROCEEDINGS ( IEEE ) 96 - 101 2002 [Refereed]

　View Summary

In content distribution networks(CDNs), the content routing which directs user requests to an adequate server from the viewpoint of improvement of latency for obtaining contents is one of the most important technical issues. Several information, e.g. server load or network delay, can be used for content routing. Network support, e.g. active network, enables a router to select an adequate server by using these information. In the paper, we investigate a server selection policy of a network support approach from the viewpoint of which information to be used for effective server selection. We propose a server selection policy using RTT information measured at a router. Simulation results show that our proposed server selection policy in content routing selects a good server under both conditions where server latency and network delay is a dominant element of user response time. Furthermore, we also investigate about location of routers with network support bringing good performance for our proposed scheme.
A network-supported server load balancing method: Active anycast

M Yamamoto, H Miura, K Nishimura, H Ikeda

IEICE TRANSACTIONS ON COMMUNICATIONS ( IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG ) E84B ( 6 ) 1561 - 1568 2001.06 [Refereed]

　View Summary

In server load balancing where replicated servers are dispersed geographically and accesses from clients are distributed to replicated servers, a way of distributing the accesses from clients to an adequate server plays an important role from the viewpoint of load balancing. In the paper, we propose a new network paradigm for server load balancing using active anycast. In active anycast, an end user only sends its request to group of servers using an anycast: address. When this request arrives at an active router, it selects an adequate sur ver from the viewpoint of load balancing and changes the anycast address of a packet to the unicast address of the selected server. The decision which server is the best one from the viewpoint of server load balancing is made by an active router rather than an end user, so active anycast is a network-initiated method. Simulation results show that active anycast can accomplish efficient server load balancing, even when a small Dart of routers are equipped with active network technology.

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Books etc

ユビキタスコンピューティングと応用 -社会や家庭に広がる情報技術-

瀧寛和,堀聡( Part： Joint author, Work：担当部分:3.6節「無線センサデバイスを用いたユビキタス震度計」)

電気学会出版会 2008.09

Misc

Analysis of cerebral blood flow on direction recognition of sound generated by 3D audio technology

Kosuke Tashiro, Hirokazu Miura

Procedia Computer Science ( Elsevier BV ) 225 4675 - 4682 2023.12 [Refereed]

DOI
Relationship analysis between BCG features and blood pressure

Akiyo Misawa, Arata Suzuki, Hirokazu Miura

2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS) ( IEEE ) 2022.11

DOI
Prediction of Upper Ureteral Stone Clearance After Extracorporeal Shock Wave Lithotripsy Using the Mahalanobis Taguchi Method

Takao Umeda, Arata Suzuki, Hirokazu Miura, Ryusuke Deguchi, Shimpei Yamashita, Isao Hara

The 54th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS ’22) 2022.10
Estimating blood pressure fluctuation using BCG

Misawa Akiyo, Suzuki Arata, Miura Hirokazu

The 54th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS ’22) 2022
Analysis of cerebral blood flow state during a mental rotation task to assess spatial perception ability

Reina Nishikawa, Hirokazu Miura, Hirokazu Taki

Procedia Computer Science ( Elsevier BV ) 207 4055 - 4064 2022

DOI
Analysis of cerebral blood flow during sound source direction recognition in virtual 3D sound technology

Kazuki Nagaosa, Hirokazu Miura, Hirokazu Taki

Procedia Computer Science ( Elsevier BV ) 192 4837 - 4844 2021.10

DOI
Analysis of Frontal Cerebral Blood Flow Changes in Hand Grip Force Adjustment Skill Learning

Hirokazu Miura, Masahiro Hakoda, Noriyuki Matsuda, Hirokazu Taki （Part： Lead author )

Procedia Computer Science ( Elsevier BV ) 159 2224 - 2231 2019 [Refereed]

DOI
中国ゴマの技能習得過程と脳活動状態の関係分析

松下和斗, 三浦浩一, 松田憲幸, 内尾文隆, 瀧寛和

第24回CLE研究発表会 2018.03
書道の習熟過程における脳活動状態の分析

碓井一樹,三浦浩一,松田憲幸,瀧寛和

教育システム情報学会学生研究発表会（関西地区） 2018.02
Analysis of brain activity in distance recognition

Shohei Matsui, Hirokazu Miura, Noriyuki Matsuda, Masato Soga, Hirokazu Taki

Procedia Computer Science ( Elsevier BV ) 126 2058 - 2064 2018 [Refereed]

DOI
視覚疲労状況下での事象関連電位の変化特性に関する考察

米澤和也,三浦浩一,松田憲幸,内尾文隆,瀧寛和

次世代産業システム研究会 ( 電気学会 ) IIS-17-031 2017.03
An analysis of brain activity in sensory skill learning for braille learning

T. Kawasaki, H. Miura, N. Matsuda,H. Taki

International Symposium on Artificial Life and Robotics (AROB2017) pp.135-138 2017.01 [Refereed]
Measurement of Brain Activity on Force Adjustment Skill Acquisition by using EEG

Masahiro Hakoda, Hirokazu Miura, Noriyuki Matsuda, Fumitaka Uchio, Hirokazu Taki

KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS ( ELSEVIER SCIENCE BV ) 112 1273 - 1280 2017 [Refereed]

　View Summary

Human beings perform various motion ranging from simple motion to advanced motion. In addition, sensory information is used as a feedback information of the motion state during operations which require fine adjustment. It is necessary for performing advanced motion to acquire the corresponding skills. In order to learn such skills efficiently, it is necessary to construct a skill learning system. Grasping skill acquisition status is effective for the skill learning system. Currently, there is no other method than evaluating skill acquisition status by using learners' task scores. However, this method may not be enough to evaluate skill acquisition status. On the other hand, brain has the function of motion commands and sensory acceptance when moving the body. Therefore, it might be possible to sufficiently evaluate skill acquisition status by using the changes of brain activity.In the paper, we measured the changes of EEG accompanying learning on force adjustment skill. The obtained EEG data was filtered to remove some noise using Band-pass filter, and then it was transformed into a frequency component by FFT, and the ratio of alpha wave and beta wave was calculated in the EEG data. In addition, we computed EEG coherence between the electrodes of near the frontal association cortex and the electrodes of near the primary motor cortex, between electrodes of near the frontal association cortex and electrodes of primary somatosensory cortex. As a result, the characteristics of the skill acquisition stage could be confirmed from the change of the ratio of alpha wave and beta wave, increase and decrease of the coherence values. (C) 2017 The Authors. Published by Elsevier B.V.

DOI
オブジェクト移動想起時の脳血流解析

呉松大樹,三浦浩一,松田憲幸,曽我真人,瀧寛和

次世代産業システム研究会 ( 電気学会 ) IIS-16-002 2016.03
商品ブランドイメージによる脳血流変化への影響分析

中村陸,三浦浩一,松田憲幸,曽我真人,瀧寛和

次世代産業システム研究会 ( 電気学会 ) IIS-16-003 2016.03
感覚技能学習の為の触覚刺激箇所の増減に伴う脳活動解析

川崎貴世,三浦浩一,松田憲幸,曽我真人,瀧寛和

次世代産業システム研究会 ( 電気学会 ) IIS-16-004 2016.03
Analysis of Cerebral Blood Flow in Imagination of Moving Object

Daiki Kurematsu, Hirokazu Miura, Noriyuki Matsuda, Hirokazu Taki

Procedia Computer Science ( Elsevier BV ) 96 1756 - 1763 2016 [Refereed]

DOI
Analysis of the Cerebral Blood Flow Affected by Brand Impressions of the Products

Riku Nakamura, Hirokazu Miura, Noriyuki Matsuda, Hirokazu Taki

Procedia Computer Science ( Elsevier BV ) 96 1748 - 1755 2016 [Refereed]

DOI
Message Replying Method Using Node Location Advertisement in VANETs

Hirokazu Miura, Hideki Tode, Hirokazu Taki

11th International Conference on Knowledge Management (ICKM2015) pp.1054-1057 2015.11 [Refereed]
脳波周波数を用いた数字想起状態の識別

阿児駿平,瀬戸勇記,三浦浩一,松田憲幸,瀧寛和

次世代産業システム研究会 ( 電気学会 ) IIS-15-026 2015.03
ネットワーク型LED照明のためのカスタマイズ可能な調光制御システムの検討

鷹塀浩輔,内尾文隆,瀧寛和,三浦浩一,藤本章宏

次世代産業システム研究会 ( 電気学会 ) IIS-15-033 2015.03
DTNにおけるメッセージ受信のためのノード位置広告手法

中谷幸太,三浦浩一,松田憲幸,瀧寛和

次世代産業システム研究会 ( 電気学会 ) IIS-15-033 2015.03
Analysis of brain activity in perception of pseudo-haptic using NIRS

Keijiro Sakagami, Kosuke Tanino, Yuki Seto, Shumpei Ako, Hirokazu Miura, Noriyuki Matsuda, Masato Soga, Hirokazu Taki

International Symposium on Artificial Life and Robotics 2015.01 [Refereed]
The analysis of the brain state measuring by NIRS-based BMI in answering yes-no questions

Kosuke Tanino, Hirokazu Miura, Noriyuki Matsuda, Hirokazu Taki

KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 19TH ANNUAL CONFERENCE, KES-2015 ( ELSEVIER SCIENCE BV ) 60 1233 - 1239 2015 [Refereed]

　View Summary

In recent years, Brain-Machine Interface (BMI) has been improved with the rapid development of the cerebral function measurement technologies. BMI is used for measuring the brain activity of the subjects and inferring his/her intention. These measuring results can control the devices such as the electric wheelchair or the electric arm directly. Previous studies have such problems that BMI device is not portable, and it takes much time to attach a lot of sensor nodes on the head of the subject. Therefore, we use portable NIRS, because it is easy for the subjects to mount it and their burden is low. This paper describes the analytical method for cerebral blood flow during imagining affirmative or negative answers to the questions. It was verified whether it is possible to use the NIRS as BMI to discriminate the yes answer or no without voice and gesture. In our study, a subject keeps watching the display which shows a yes-no question, he/she imagines affirmative or negative answer to the questions. In the experiment, one test trial is in 30 seconds and it includes 10 seconds task between 10 seconds rests. Each test set consists of 10 trials. One subject has five test set. In our study, we used Wearable Optical Topography WOT-100 as measurement device of NIRS which has 10 channels (ch7-16) of prefrontal cortex. The NIRS data analysis procedure is as follows; in the first step, we used a band-pass filter to select the data of frequencies from 0.02Hz up to 0.1Hz. In the second step, measured NIRS data of each task set is divided into 10 blocks which are included 5 seconds data before the task and 10 seconds data after the task. In the third step, we calculated baseline of measured data from 5 seconds of the beginning and the end of the task blocks, and this baseline fitting is applied to the original data. In the last step, the neural network learned the important elements of the training data and classified the test data. Our method can discriminate between imagining affirmative or negative answers with 70% accuracy. At result, NIRS is useful to discriminate the yes-no answer of the questions. (C) 2015 The Authors. Published by Elsevier B.V.

DOI
看護における考え方の指導のための添削システム

叶秀征, 西山大貴, 田中孝治, 崔亮, 池田満, 松田憲幸, 三浦浩一, 瀧寛和

教育システム情報学会全国大会 ( 教育システム情報学会 ) 2014.09
思考オントロジーによる文章の論理構造の変換方法の提案

京谷隆史, 陳巍, 崔亮, 松田憲幸, 池田満, 三浦浩一, 瀧寛和

教育システム情報学会全国大会 ( 教育システム情報学会 ) 2014.09
擬似力覚知覚時のNIRSとEEGによる脳活動分析

阪上慶二朗, 瀬戸勇記, 阿児駿平, 谷野広祐, 三浦浩一, 松田憲幸, 曽我真人, 瀧寛和

教育システム情報学会全国大会 ( 教育システム情報学会 ) 2014.09
NIRSを利用した文章の肯定・否定に関する脳状態の識別

谷野広祐,瀬戸勇記,阿児駿平,阪上慶二郎,三浦浩一,松田憲幸,曽我真人,瀧寛和

人工知能学会全国大会 ( 人工知能学会 ) 2014.05
DTNにおける返信メッセージ獲得のためのノード位置広告領域の検討

中谷幸太,三浦浩一,松田憲幸,瀧寛和

次世代産業システム研究会 ( 電気学会 ) IIS-14-001 2014.03
ネットワーク型LED照明のためのカスタマイズ可能な調光制御システムの開発

鷹塀浩輔,内尾文隆,瀧寛和,三浦浩一

次世代産業システム研究会 ( 電気学会 ) IIS-14-003 2014.03
エネルギーマネジメントのための属性選択を利用した制御要素の決定

藤原宏徳,瀧寛和,三浦浩一,松田憲幸,内尾文隆

次世代産業システム研究会 ( 電気学会 ) IIS-14-002 2014.03
車両ネットワークにおける有効距離と有効期限を考慮したデータ配布手法

三浦浩一,戸出英樹,瀧寛和

ネットワークシステム研究会 ( 電子情報通信学会 ) 2014.03
Analysis of brain state in imaging of numeric characters by using EEG

Shumpei Ako, Yuki Seto, Hirokazu Miura, Noriyuki Matsuda, Hirokazu Taki

AROB 2014 2014.01 [Refereed]
Classification of Haptic Tasks based on Electroencephalogram Frequency Analysis

Hirokazu Miura, Junki Kimura, Noriyuki Matsuda, Masato Soga, Hirokazu Taki

Procedia Computer Science ( Elsevier BV ) 35 1270 - 1277 2014 [Refereed]

DOI
Classification by EEG Frequency Distribution in Imagination of Directions

Yuki Seto, Shumpei Ako, Keijiro Sakagami, Hirokazu Miura, Noriyuki Matsuda, Masato Soga, Hirokazu Taki

Procedia Computer Science ( Elsevier BV ) 35 1300 - 1306 2014 [Refereed]

DOI
Electroencephalogram Analysis of Pseudo-Haptic Application for Skill Learning Support System

Hirokazu MIURA, Keijiro SAKAGAMI, Yuki SETO, Shumpei AKO, Hirokazu TAKI, Noriyuki MATSUDA, Masato SOG

The 21st International Conference on Computers in Education 2013.11 [Refereed]
Analysis of brain state in the imaging directions by using EEG

Yuki Seto, Shumpei Ako, Hirokazu Miura, Noriyuki Matsuda, Hirokazu Taki

EMBC’13 ( IEEE ) 51 R - 192-R-192 2013.07 [Refereed]

DOI
スキル学習支援のための疑似力覚生起時の脳波周波数分析

阪上慶二朗,瀬戸勇記,阿児駿平,三浦浩一,松田憲幸,瀧寛和

教育工学研究会 ( 電子情報通信学会 ) 113 ( 67 ) 41-44 - 44 2013.05

　View Summary

This paper describes the brain states of haptic and pseudo-haptic recognition in the skill learning supporting system. It is difficult to evaluate human cognition of haptic state only from the observation of human behavior. Therefore, to measure the biological signal of the brain, we have used electroencephalogram. We have evaluated the brain activity in the sensing tasks in order to make a comparison among the several states of the sensing of pseudo-haptic.
Development of a Dimming control system for Network type LED lighting

TAKAHEI Kousuke, UCHIO Fumitaka, MIURA Hirokazu, KANEKO Hirozumi, TAKI Hirokazu

次世代産業システム研究会 ( 電気学会 ) 2013 ( 32 ) 29 - 33 2013.03
Dimming control method for LED lighting system using Android devices

KISHI Masato, UCHIO Fumitaka, MIURA Hirokazu, KANEKO Hirozumi, TAKI Hirokazu

次世代産業システム研究会 ( 電気学会 ) 2013 ( 32 ) 35 - 40 2013.03
脳波の周波数解析に基づく力覚タスクの分類

尾花弘章,阿児駿平,賀集貴也,坂上智規,瀬戸勇記,三浦浩一,松田憲幸,瀧寛和

次世代産業システム研究会 ( 電気学会 ) IIS-13-035 2013.03
脳波を利用した意思判断における選択状態の分析

瀬戸勇記,尾花弘章,阿児駿平,賀集貴也,坂上智規,三浦浩一,松田憲幸,瀧寛和

次世代産業システム研究会 ( 電気学会 ) IIS-13-036 2013.03
Person Tracking System using Multi-Active Camera

LI Peng, QI Yiqiang, WU Haiyuan, MIURA Hirokazu, TAKI Hirokazu

次世代産業システム研究会 ( 電気学会 ) 2012 ( 36 ) 7 - 12 2012.03
Electricity Control System by Blink

WU Haiyuan, WANG Daguan, MIURA Hirokazu, TAKI Hirokazu

電気学会研究会資料. IIS, 次世代産業システム研究会 = The papers of Technical Meeting on Innovative Industrial System, IEEE Japan 2012 ( 36 ) 13 - 15 2012.03
VANETにおけるノード位置広告を用いたメッセージ返信手法

野口宗之,三浦浩一,松田憲幸,瀧寛和

次世代産業システム研究会 ( 電気学会 ) IIS-12-042 2012.03
文脈設定に追従して学習の構えを評価するアンケートツール

牛窓裕貴,松田憲幸,三浦浩一,瀧寛和

次世代産業システム研究会 ( 電気学会 ) IIS-12-041 2012.03
Local Feature Transform with RCA and Application to general object recognition for life support

NISHIMURA Tomoki, WU Haiyuan, TAKI Hirokazu, MIURA Hirokazu

Technical report of IEICE. Multimedia and virtual environment ( The Institute of Electronics, Information and Communication Engineers ) 111 ( 380 ) 79 - 84 2012.01

　View Summary

In this paper, we propose a method for transforming local feature using relevant component analysis (RCA). Our method analyzes the distribution of E-SIFT local features provided from a training image set, and makes the difference of visual word clear by adjusting distance between local features that followed the density of the distribution. In this paper, we do mind an application to life supporting system. This method's effectiveness was confirmed through several comparison experiments using common database of everyday life article.
Message reply method by making use of node location advertisement in VANET

Hirokazu Miura, Muneyuki Noguchi, Noriyuki Matsuda, Masato Soga, Hirokazu Taki

Frontiers in Artificial Intelligence and Applications ( IOS Press ) 243 941 - 952 2012 [Refereed]

　View Summary

In late years, the ITS which aims at improvement of convenience and the comfort in the road traffic using an information technology attracts attention, and service to deliver useful information quickly by communication among vehicles is flourishing research area. However, vehicles may be distributed sparsely by traffic conditions in VANET, and it is difficult to maintain stability of the communication. Therefore, DTN technology that communication is enabled by permitting a delay even if vehicles are distributed sparsely can be applied in such an environment. However, a delay occurs for the delivery of data when I apply DTN environment. Therefore, it becomes difficult to deliver a reply message to the requesting vehicle due to movement of the vehicle before message arrival. For such a problem, we aim at the arrival rate improvement of the reply message by while the requesting vehicle waits for a reply, advertising the own position on neighboring appropriate vehicles. Then, we evaluated our method which distribute an advertisement to vehicles nearby and suggested the method using the flooding and the method using geocast. We investigated that an arrival rate of the reply message is improved by our proposed method by computer simulation. © 2012 The authors and IOS Press. All rights reserved.

DOI
A Development of Dimming Level Control GUI for Network-linked LED illuminations

ARAI Masanori, YAMANAKA Masakazu, MIURA Hirokazu, KANEKO Hirozumi, UCHIO Fumitaka, TAKI Hirokazu

電気学会研究会資料. IIS, 次世代産業システム研究会 = The papers of Technical Meeting on Innovative Industrial System, IEEE Japan 2011 ( 21 ) 19 - 22 2011.03
Detection of Grasping Position for Robot Hand Using Three-dimensional Vision without Shape Models

HIRATA Masaya, MIURA Hirokazu, NAKAMURA Takayuki, WU Haiyuan, TOMITA Fumiaki, NISHI Takao, MATSUDA Noriyuki, TAKI Hirokazu

電気学会 ( 次世代産業システム研究会 ) 2011 ( 21 ) 15 - 18 2011.03 [Refereed]
選択問題を自動生成する知識編集のための誤り顕在化の検討

小林裕輝、松田憲幸、平嶋宗、三浦浩一、瀧寛和

人工知能学会研究会資料、先進的学習科学と工学研究会、SIG-ALST-B002-03 ( 人工知能学会 ) pp.15-20 2011.03 [Refereed]
感染型ルーチングにおけるメッセージの複製数に基づくバッファリング手法

藤原教嗣、三浦浩一、松田憲幸、瀧寛和

電気学会次世代産業システム研究会 ( 電気学会 ) 2011.03
間取り図清書作業支援の誤り発見診断機能の検討

堀田和宏、松田憲幸、三浦浩一、瀧寛和

電気学会次世代産業システム研究会 ( 電気学会 ) 2011 ( 21 ) 11 - 14 2011.03
能動カメラを用いた人物の追従システム

李鵬,戚意強,呉海元,中村恭之,三浦浩一,瀧寛和

( 電気学会・次世代産業システム研究会, ) IIS-11-27 2011.03
A study on navigation system for pedestrians based on street illuminations

Hirokazu Miura, Syujo Takeshima, Noriyuki Matsuda, Hirokazu Taki

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6883 ( 3 ) 49 - 55 2011 [Refereed]

　View Summary

The paper describes the our proposed pedestrian navigation system considering a street illumination sensing. The system provides pedestrians with an adequate route based on both of street illumination and distance to the destination. The system evaluates the cost of the route distance and the unsafe cost of the road illumination and finds the best route using Dijkstra graph search algorithm. In our system, wireless sensor network technology is applied to obtain the street illuminations. © 2011 Springer-Verlag.

DOI
定期試験における採点支援のための採点モデリング

金岡健史、松田憲幸、三浦浩一、瀧寛和

教育システム情報学会第35回全国大会講演論文集、27-C2-4 ( 教育システム情報学会 ) pp.251-252 2010.08
インデックス脳におけるスナップ記憶と短間隔記憶について

瀧寛和三浦浩一松田憲幸曽我真人安部憲広

人工知能学会全国大会予稿集 ( 人工知能学会 ) 1A4-1 2010.06
車両ネットワークにおけるアクセス頻度を考慮したデータ配布手法の検討

三浦浩一,掛田悟史,戸出英樹,瀧寛和

電子情報通信学会総合大会 ( 電子情報通信学会 ) B-6-10 2010.03
アドホックネットワークにおける消費電力削減のためのデータサイズを考慮したキャッシング方式

安井涼、三浦浩一、松田憲幸、瀧寛和

電気学会産業システム情報化研究会資料巻:IIS-10 号:15-24、pp.11-14 2010.03
車両ネットワークにおける利用頻度を考慮したデータ配布手法

三浦浩一,掛田悟史,戸出英樹,瀧寛和

電子情報通信学会技術研究報告ネットワークシステム研究会 ( 電子情報通信学会 ) 507-510 2010.03
アドホックネットワークにおけるメッセージフェリーのためのクラスタリングを用いたルート構築

西大輔、三浦浩一、瀧寛和、松田憲幸

電気学会産業システム情報化研究会資料巻:IIS-10 号:15-24、pp.1-6 2010.03
メタ認知研究における観点の明文化による語り解析支援の考察

守田義宗、松田憲幸、瀧寛和、三浦浩一

電気学会産業システム情報化研究会資料巻:IIS-10 号:15-24、pp.15-20 2010.03
自律移動型中継ノードによる無線通信経路の確立

東野雄一、瀧寛和、三浦浩一、松田憲幸

電気学会産業システム情報化研究会資料 2010 ( 15 ) 巻:IIS-10 号:15-24、pp.7-10 - 10 2010.03
Message ferry route design based on clustering for sparse ad hoc networks

Hirokazu Miura, Daisuke Nishi, Noriyuki Matsuda, Hirokazu Taki

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ( The Institution of Engineering and Technology IET ) 6277 ( 2 ) 637 - 644 2010 [Refereed]

　View Summary

In a message ferry technology for sparse ad hoc networks, a ferry node stores a message from a source node and carries it to the destination node. In this technology, message ferry route design is one of the most important technical issues. To improve the performance, we propose a cluster-based route design where the ferry moves along the path formed by the centers of the clusters. © 2010 Springer-Verlag.

DOI
Popularity-based probabilistic data deployment in vehicular ad-hoc networks

Hirokazu Miura, Satoshi Kakeda, Hideki Tode, Hirokazu Taki

IEEE International Conference on Industrial Informatics (INDIN) ( IEEE ) 1054 - 1057 2010 [Refereed]

　View Summary

In vehicular ad-hoc networks (VANETs), moving vehicles carry data and exchange it as they pass each other. Storage in a vehicle, in other words, the amount of saved data is limited resource in general. Therefore, attributes of data that should be carried by vehicles is an important factor in order to efficiently disseminate desired data. In this paper, we focus on popularity of data and propose probabilistic data deployment based on its popularity. The proposed method deploys the data to vehicles randomly according to its relative popularity. By this simple operation, data can be deployed inside a vehicular network and as a result, data with high popularity tends to have larger number of copies inside the network than lower-popularity data. Performance evaluation shows that our deployment can work well in limited storage. © 2010 IEEE.

DOI
事例を利用した力覚情報のリアルタイム補間方式

土岐崇之,瀧寛和,三浦浩一,松田憲幸,曽我真人,安部憲広

第86回人工知能学会知識ベースシステム研究会報告 ( 人工知能学会知識ベースシステム研究会 ) 2009.08
表象と表象のない知識の相互作用による問題解決

瀧寛和三浦浩一松田憲幸曽我真人安部憲広

第23回人工知能学会全国大会 ( 人工知能学会 ) 3C4-2 2009.06
表象と表象のない知識の相互作用による問題解決-インデキシング脳の考察-

瀧寛和、三浦浩一、松田憲幸、曽我真人、安部憲広

人工知能学会全国大会論文集巻:23rd 頁:ROMBUNNO.3C4-2 2009.06 [Refereed]
表象と表象のない知識の相互作用による問題解決

瀧寛和三浦浩一松田憲幸曽我真人安部憲広

2009年度人工知能学会全国大会(第23回) ( 人工知能学会 ) 3C4-2 2009.06
Caching Techniques for Mobile Ad Hoc Networks

MIURA Hirokazu, MATSUDA Noriyuki, UCHIO Fumitaka, TAKI Hirokazu

電気学会産業システム情報化研究会資料 2009 ( 33 ) 21 - 24 2009.03
空中手書き文字認識における連続軌跡判別の学習

小倉一孝、西田好宏、三浦浩一、松田憲幸、瀧寛和

電気学会産業システム情報化研究会資料 2009 ( 33 ) 巻:IIS-09 号:34-43、pp.7-12 - 12 2009.03
知識の転写問題(技能知識の転写原理の考察)

瀧寛和、曽我真人、松田憲幸、三浦浩一、安部憲広、堀聡

電気学会産業システム情報化研究会資料 2008 ( 29 ) 巻:IIS-08 号:29-37、pp.23-26 - 26 2008.07
質疑応答の概念辞書を駆使した遠隔指導支援システムの設計

坂本佳寿真, 小川修史, 松田憲幸, 三浦浩一, 瀧寛和, 堀聡, 安部憲広

2008年度人工知能学会全国大会(第22回) ( 人工知能学会 ) 22 3D1-03 - 3 2008.06
身体知伝達のための例示の生成

瀧寛和, 曽我真人, 三浦浩一, 松田憲幸, 堀聡, 安部憲広

2008年度人工知能学会全国大会(第22回) ( 人工知能学会 ) 1B2-07 2008.06
Ubiquitous Seismograph using Wireless Sensor Device

SHIMAZAKI Yosuke, MIURA Hirokazu, MATSUDA Noriyuki, UCHIO Fumitaka, TSUKADA Koji, TAKI Hirokazu

電気学会研究会資料 ( 電気学会 ) 2008 ( 13 ) 43 - 48 2008.03
RF-IDを用いた災害時の誘導と追跡

大杉正敏,三浦浩一,松田憲幸,高梨郁子,内尾文隆,塚田晃司,瀧寛和

電気学会研究会資料 ( 電気学会 ) 2008 ( 13 ) IIS-08-,pp.- - 20 2008.03
空中手書き文字認識の連続軌跡の解析

小倉一孝、三浦浩一、松田憲幸、西田好宏、瀧寛和

電気学会産業システム情報化研究会 2008 ( 13 ) IIS-08-15 - 16 2008.03
ウェッブ推薦システムにおける概念継承を駆使した知識編集機能の設計

三木崇史、三浦浩一、松田憲幸、瀧寛和

電気学会産業システム情報化研究会 IIS-08-14 2008.03
知識の転写問題(技能知識の転写原理の考察)

瀧寛和、曽我直人、三浦浩一、松田憲幸、安部憲広、堀聡

電気学会産業システム情報化研究会 IIS-08-33 2008.03
Ubiquitous earthquake observation system using wireless sensor devices

Hirokazu Miura, Yosuke Shimazaki, Noriyuki Matsuda, Fumitaka Uchio, Koji Tsukada, Hirokazu Taki

KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 3, PROCEEDINGS ( SPRINGER-VERLAG BERLIN ) 5179 673 - 679 2008 [Refereed]

　View Summary

Japan suffers from a high number of earthquakes, so the technology for an earthquake observation is highly demanded. One of information on an earthquake is seismic intensity information which is measured with seismic intensity meters and is announced by the media such as TV. The seismic intensity is a value observed at a location where a seismic intensity meter is placed. This means that the seismic intensity shows wide area information such as administrative districts, e.g., city, town or village. However sites where equal seismic intensity was observed would not necessarily suffer the same damage, because damage depends on the type of construction and on the nature of the seismic motion. Therefore, it is difficult to estimate the individual damage in personal area. In order to measure all the locations, it is necessary to place huge number of seismic intensity meters. In the paper, we develop the system which can observe an earthquake by using wireless sensor network technology. We use wireless nodes equipped with acceleration sensors. The system can provide useful information to predict the individual damage.
Indoor Localization for Mobile Node based on RSSI

Hirokazu Miura, Kazuhiko Hirano, Noriyuki Matsuda, Hirokazu Taki, Norihiro Abe, Satoshi Hori

Proc.of 11th International Conference Knowledge-Based Intelligent Information and Engineering Systems 2007(KES2007). ( Springer ) 1065 - 1072 2007.09 [Refereed]

DOI
運動学習のためのロボットハンドによる監視効果の実験

北内隆寛、三浦浩一、松田憲幸、瀧寛和、堀聡、安部憲広

電気学会研究会資料、産業システム情報化研究会 IIS-07-28、pp.79-84 2007.03
トランスダクティブ学習を利用した偏りのあるデータのマイニング手法

小櫻茂樹、三浦浩一、松田憲幸、瀧寛和、堀聡、安部憲広

電気学会産業システム情報化研究会資料巻:IIS-07 号:14-28、pp.59-64 2007.03
Adequate RSSI Determination Method by Making Use of SVM for Indoor Localization

Hirokazu Miura, Junichi Sakamoto, Noriyuki Matsuda, Hirokazu Taki, Norihiro Abe, Satoshi Hori

Proc.of 10th International Conference Knowledge-Based Intelligent Information and Engineering Systems 2006(KES2006). ( Springer ) 628 - 636 2006.09 [Refereed]

DOI
ユビキタスデバイスを用いた屋内位置検出

三浦浩一、坂本純一、瀧寛和、松田憲幸

電気学会産業応用部門大会講演論文集巻:2006 号:2 、pp.247-.250 2006.08
工業用ロボットハンドのティーチングの分析

北内隆寛、小川修史、松田憲幸、三浦浩一、瀧寛和、堀聡、安部憲広

第20回人工知能学会全国大会 2G2-04 2006.06
語彙の階層構造に基づく申請書の自動記入

三木崇史、小川修史、松田憲幸、三浦浩一、瀧寛和、堀聡、安部憲広

第20回人工知能学会全国大会 ( 人工知能学会 ) 20 3B4-05 - 4 2006.06
On the Construction Method of Weblog Article Networks for Weblog Search

MUNETA Shun, MIURA Hirokazu, MATSUDA Noriyuki, TAKI Hirokazu, ABE Norihiro, HORI Satoshi

電気学会研究会資料. IIS, 産業システム情報化研究会 2006 ( 11 ) 5 - 9 2006.03
Ontology based Conflict Detection for Editing Clinical Pathway Document

ENDOH Kiyohiko, OGAWA Hisashi, MATSUDA Noriyuki, MIWA Masafumi, MIURA Hirokazu, TAKI Hirokazu, NUKUMI Shinobu, MORI Kumiko, KUINOSE Yuko, MAEDA Etuko

電気学会研究会資料. IIS, 産業システム情報化研究会 2006 ( 11 ) 33 - 38 2006.03
Method of interpreting classification tree in data mining

KOZAKURA Shigeki, OGAWA Hisashi, MIURA Hirokazu, MATSUDA Noriyuki, TAKI Hirokazu, ABE Norihiro

電気学会研究会資料. IIS, 産業システム情報化研究会 2006 ( 11 ) 39 - 42 2006.03
Design of an Authoring System for Digital Educational Content for Autistic People : Proposal of Teaching Material Template which is possible to adjust Digital Educational Content

OGAWA Hisashi, MATSUDA Noriyuki, MIURA Hirokazu, TAKI Hirokazu, HORI Satoshi, ABE Norihiro

電気学会研究会資料. IIS, 産業システム情報化研究会 2006 ( 11 ) 27 - 32 2006.03
Robust Localization for Measurement Error of Received Signal Strength

MIURA Hirokazu, SAKAMOTO Junichi, TAKI Hirokazu, MATSUDA Noriyuki, ABE Norihiro, HORI Satoshi

IPSJ SIG Notes ( Information Processing Society of Japan (IPSJ) ) 2006 ( 9 ) 43 - 48 2006.01

　View Summary

In the ubiquitous computing technology, localization technique is one of the most important technical issues. The outdoor localization technique such as GPS is very popular. However, Indoor location sensing systems are very expensive because the systems require specialized hardware. On the contrary, wireless network technologies (e.g. Wireless LAN) are widely spread. In this paper, we implement the localization system which localizes a mobile node the position by making use of received signal strength indicator (RSSI).
On the Location of Routers with Network Support in Content Distribution Networks

Hirokazu Miura, Miki Yamamoto

6th Asia-Pacific Symposium on Information and Telecommunication Technologies (APSITT2005) 2005.11 [Refereed]
量子重ね合わせ状態に基づくユビキタス環境モデルの諸相--Universe ComputingからMultiverse Computingへ (テーマ:特集「感性とインタラクション」および一般)

瀧寛和, 坂本純一, 三浦浩一

人工知能基本問題研究会 ( 人工知能学会 ) 58 1 - 4 2005.03
Design and Evaluation of a Class Support System for a Cellular Phone

MATSUDA Noriyuki, IIDA Masato, MIURA Hirokazu, UCHIO Fumitaka, NAITOH Atsushi, KITAMURA Yoshihiro, MIAKE Michiyori, TAKI Hirokazu

IEICE technical report. Education technology ( The Institute of Electronics, Information and Communication Engineers ) 104 ( 534 ) 105 - 108 2004.12

　View Summary

When a student learns about his/her question of a class, adequate educational material, such as class text, make his/her learning more effective. We designed the class support system for university to provide a learning tool that the student confirm his/her own understanding of class. Our system is expected to provide a student repeatedly to read class text whenever, wherever or without class texts. To implement such system, we have two issues. First issue is display function for cellular phone to show text, image and equation in a class text. Second issue is a function that provides a student to learn basic contentsof class by alone. We choose Compact XMDF for online book as a format for class text and multiple-choice test as a student's self confirmation of understanding. We held a preliminary experiment through real class with our system in our university.
Evaluation of Integration Effect of Content Location and Request Routing in Content Distribution Networks

Hirokazu Miura, Miki Yamamoto

Sixth Annual International Working Conference on Active Networks(IWAN2004) 2004.10 [Refereed]
Action reasoning based on several sensor logs of mobile terminal

楠本昌弘, 三浦浩一, 松田憲幸

人工知能学会全国大会論文集 ( 人工知能学会 ) 18 1 - 4 2004
Content routing with network support using passive measurement in content distribution networks

H Miura, M Yamamoto （Part： Lead author )

The 11th International Conference on Computer Communications and Networks(ICCCN'02) ( IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG ) 96 - 101 2003.06 [Refereed]

　View Summary

In content distribution networks (CDNs), the content routing which directs user requests to an adequate server from the viewpoint of improvement of latency for obtaining contents is one of the most important technical issues. Several information, e.g. server load or network delay, can be used for content routing. Network support, e.g. active network, enables a router to select an adequate server by using these information. In the paper, we investigate a server selection policy of a network support approach from the viewpoint of which information to be used for effective server selection. We propose a server selection policy using RTT information measured at a router. Simulation results show that our proposed server selection policy in content routing selects a good server under both conditions where server latency and network delay is a dominant element of user response time. Furthermore, we also investigate about location of routers with network support bringing good performance for our proposed scheme.
ネットワーク支援技術を用いたコンテンツ配信網における支援ルータの配置について

柳原健太郎,三浦浩一,山本幹

信学技報 NS2003-41 2003.06
コンテンツ配信網におけるコンテンツ配置とルーチングの統合効果の評価

三浦浩一, 田村純一, 山本幹

信学技報 NS2002-48 2002.06
コンテンツ配信網におけるネットワーク支援を用いたコンテンツルーチング

三浦浩一, 山本幹

信学技報 NS2002-28 - 28 2002.05
Server Selection Policy in Active Anycast

Hirokazu Miura and Miki Yamamoto

The 7th Asia-Pacific Conference on Communications (APCC2001) pp.648-651 2001.09 [Refereed]
Server Load Balancing with Network Support: Active Anycast

H.MIURA, M. YAMAMOTO, K.NISHIMURA, H.IKEDA

The Second International Working Conference on Active Networks(IWAN) pp.371-384 - 384 2000.10 [Refereed]
Active Anycast方式におけるサーバ負荷情報の更新方法の検討

三浦浩一,山本幹

電子情報通信学会ソサイエティ大会一般講演 2000.09
Active Network技術を用いたサーバ負荷分散方式

三浦浩一,西村健治,山本幹,池田博昌

電子情報通信学会ソサイエティ大会シンポジウム講演 ( The Institute of Electronics, Information and Communication Engineers ) SB-6-1 - 401 1999.09
Active Network技術を用いたサーバ負荷分散方式

三浦浩一, 西村健治, 山本幹, 池田博昌

電子情報通信学会テレコミュニケーションマネジメント研究会 ( The Institute of Electronics, Information and Communication Engineers ) TMWS99-9 - 401 1999.03

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KAKENHI

認知科学的分析に基づくインタラクションサイクルモデルを礎としたスキル学習支援環境

2017.04

-

2022.03

Grant-in-Aid for Scientific Research(B) Co-investigator
認知状態の脳活動分析を利用したスキル学習支援システムの研究

2015.04

-

2018.03

Grant-in-Aid for Scientific Research(B) Co-investigator
感覚受容・抑制プロテクターを利用した技能教育システムの研究

2014.04

-

2017.03

Grant-in-Aid for Challenging Exploratory Research Co-investigator
量子重ね合わせ状態に基づくユビキタスコンピューティング環境モデルの研究

2004.04

-

2007.03

Grant-in-Aid for Exploratory Research Co-investigator

Joint or Subcontracted Research with foundation, company, etc.

産業分類に対応する潜在的技術ニーズ把握のための調査データ分析

2024.07

-

2026.03

Contracted research Co-investigator
AIを活用した学校の生活記録と支援システム

2021.04

-

2022.03

Contracted research Co-investigator
AIを活用した学校の生活記録と支援システム

2020.04

-

2021.03

Contracted research Co-investigator

Instructor for open lecture, peer review for academic journal, media appearances, etc.

講師

2023.12.27

一般社団法人　数理人材育成協会

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講演講師

交流会における講義
講師

2023.07.29

-

2023.07.30

和歌山県教育委員会教育総務局教職員課

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講演講師

令和５年度和歌山県教育委員会教育職員免許法認定講習（情報）
「マルチメディア表現・マルチメディア技術」
青少年のための科学の祭典　おもしろ科学まつり　和歌山大会　実行委員

2023.04

-

2024.03

「青少年のための科学の祭典・和歌山大会」実行委員会

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公開講座・講演会の企画・講師等

・青少年のための科学の祭典・和歌山大会（おもしろ科学まつり）の企画・運営
・それに関わる他団体との連携・情報提供・広報活動
・その他，科学の「おもしろさ」「楽しさ」を伝える目的を達成するために必要な活動
公開講座の講師

2023.01.30

和歌山大学生涯学習市民講座

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生涯学習市民講座

和歌山大学生涯学習市民講座の講演講師
青少年のための科学の祭典　おもしろ科学まつり　和歌山大会　実行委員

2022.04

-

2023.03

「青少年のための科学の祭典・和歌山大会」実行委員会

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公開講座・講演会の企画・講師等

・青少年のための科学の祭典・和歌山大会（おもしろ科学まつり）の企画・運営
・それに関わる他団体との連携・情報提供・広報活動
・その他，科学の「おもしろさ」「楽しさ」を伝える目的を達成するために必要な活動
非常勤講師

2021.05.11

-

2023.06.27

和歌山県立高等看護学院

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非常勤講師

情報科学1単位30時間の講義および試験・採点
毎週1回2コマ、（最終講義日のみ1コマ）
青少年のための科学の祭典　おもしろ科学まつり　和歌山大会　実行委員

2021.04

-

2022.03

「青少年のための科学の祭典・和歌山大会」実行委員会

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公開講座・講演会の企画・講師等

・青少年のための科学の祭典・和歌山大会（おもしろ科学まつり）の企画・運営
・それに関わる他団体との連携・情報提供・広報活動
・その他，科学の「おもしろさ」「楽しさ」を伝える目的を達成するために必要な活動
非常勤講師

2020.04.28

-

2020.07.14

和歌山県立高等看護学院

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非常勤講師

科目：情報科学
時間数３０時間（９０分×１５回）
４月２８日（火）９：００～１２：１０
５月１３日（水）９：００～１２：１０
５月１９日（火）９：００～１２：１０
６月９日（火）９：００～１２：１０
６月１６日（火）９：００～１２：１０
６月２３日（火）９：００～１２：１０
７月１４日（火）９：００～１４：３０
査読

2020.04

-

Now

IEICE 英文論文誌D

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学術雑誌等の編集委員・査読・審査員等

査読
青少年のための科学の祭典　おもしろ科学まつり　和歌山大会　実行委員

2020.04

-

2021.03

「青少年のための科学の祭典・和歌山大会」実行委員会

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公開講座・講演会の企画・講師等

楽しみながら科学のおもしろさに触れることができる催し,日付:16,17
教育コンテンツ作成

2020.04

-

2021.03

データ関連人材育成関西地区コンソーシアム

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データ関連人材育成

ビデオ教材作成
青少年のための科学の祭典　おもしろ科学まつり　和歌山大会

2019.11

「青少年のための科学の祭典・和歌山大会」実行委員会，一般財団法人雑賀技術研究所，日本物理教育学会近畿支部，公益財団法人日本科学技術振興財団・科学技術館

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公開講座・講演会の企画・講師等

楽しみながら科学のおもしろさに触れることができる催し,日付:16,17
査読

2019.04

-

Now

Journal of Artificial Life and Robotics (AROB)

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学術雑誌等の編集委員・査読・審査員等

査読
ロボカップジュニア・ジャパンオープン2019和歌山大会　平成ロボット委員会（地元出展）

2019.04

和歌山県、和歌山市、和歌山県教育委員会、和歌山市教育委員会、和歌山商工会議所、国立大学法人和歌山大学、一般社団法人口ボカップジュニア・ジャパン、一般社団法人和歌山市観光協会株式会社島精機製作所、和歌山県立桐蔭中学校・和歌山県立桐蔭高等学校，和歌山市立西脇中学校

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公開講座・講演会の企画・講師等

「初めて学ぶ人工知能（AI）について」,日付:28
青少年のための科学の祭典　おもしろ科学まつり　和歌山大会

2018.11

「青少年のための科学の祭典・和歌山大会」実行委員会，一般財団法人雑賀技術研究所，日本物理教育学会近畿支部，公益財団法人日本科学技術振興財団・科学技術館

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公開講座・講演会の企画・講師等

楽しみながら科学のおもしろさに触れることができる催し,日付:17,18
査読

2018.04

-

Now

International Conference on Knowledge-Based and Intelligent Information & Engineering Systems

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学術雑誌等の編集委員・査読・審査員等

査読
青少年のための科学の祭典　おもしろ科学まつり　和歌山大会

2017.11

「青少年のための科学の祭典・和歌山大会」実行委員会，一般財団法人雑賀技術研究所，日本物理教育学会近畿支部，公益財団法人日本科学技術振興財団・科学技術館

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公開講座・講演会の企画・講師等

楽しみながら科学のおもしろさに触れることができる催し,日付:11,12
青少年のための科学の祭典　おもしろ科学まつり　和歌山大会

2016.11

「青少年のための科学の祭典・和歌山大会」実行委員会，一般財団法人雑賀技術研究所，日本物理教育学会近畿支部，公益財団法人日本科学技術振興財団・科学技術館

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公開講座・講演会の企画・講師等

楽しみながら科学のおもしろさに触れることができる催し,日付:12,13
青少年のための科学の祭典　おもしろ科学まつり　和歌山大会

2015.11

「青少年のための科学の祭典・和歌山大会」実行委員会，一般財団法人雑賀技術研究所，日本物理教育学会近畿支部，公益財団法人日本科学技術振興財団・科学技術館

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公開講座・講演会の企画・講師等

青少年のための科学の祭典　おもしろ科学まつり　和歌山大会,日付:14,15
ユビキタス技術関連の技術交流(大阪市主催の海外交流事業)

2010.03

大阪市

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国際交流事業

「ユビキタスセンサーとアドホックネットワーク技術」についての講演,相手国:米国

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Other Social Activities

教育システム情報学会　全国大会実行委員

2014.09

その他

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ボランティア活動等

ボランティア活動等