Educe University Faculty Information

Office hour
Present specialized field
Academic background
Qualification and license
Research activities
Business career
Book and thesis
Academic conference presentation
Lecturer and lecture
Subject
Main Subject
Committee and society
Announcement about the education
Developed teaching materials, textbooks, reference books
Home Page
Message

（Last updated : 2024-06-21 17:44:55）

DEKIHARA Hiroyuki
Hiroshima shudo University The Faculty of Economic Sciences

Professor

■ Office hour

12:30-13:00 Wed,
please make an appointment by phone or e-mail.

■ Present specialized field

●Specialized field
Multi-dimensional Data Structure, Network Information Technology, e-Learning, Information Education
●Keyword
Multi-dimensional data structure, Big data, IoT, e-Learning, Information education
●The main research themes
1.	Development of multi-dimensional data structure
2.	Development of Informatoin systems and applications
3.	Development of Informatoin systems and materials for e-Learning and Information Education
●Capable of joint research and research consultation content

■ Academic background

1.	1994/04～1998/03	Hiroshima City University Faculty of Information Science Graduated
2.	1998/04～2000/03	Hiroshima City University Graduate School, Division of Information Science 〔Master degree program〕 Completed
3.	2000/04～2003/03	Hiroshima City University Graduate School, Division of Information Science 〔Doctoral course〕 Completed

■ Qualification and license

1.	1997/12	Class II Information Technology Engineer Examination
2.	2008/12	Software Design & Development Engineer Examinatoin
3.	2009/08	3rd grade The Examination of Proficiency in Intellectual Property
4.	2010/11	CompTIA Strata IT FUNDAMENTALS
5.	2011/02	Cisco CCENT
6.	2012/02	CompTIA A+ Essentials（2009Edition）
7.	2012/07	CompTIA CLOUD Essential
8.	2012/09	3rd grade Certified Skilled Worker of Web Design
9.	2013/05	2nd grade Certified Specialist of Intellectual Property Management (administration)
10.	2016/01	CompTIA A+ ce
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■ Research activities

1.	1999/10～	IEICE
2.	2001/08～	IEEJ
3.	2002/06～	IPSJ
4.	2005/06～	IEEE
5.	2006/02～	JSKE
6.	2008/10～	ACM
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■ Business career

1.	2001/04～2004/03	Hiroshima International University Assistant Professor
2.	2004/04～2007/03	Hiroshima International University Lecture
3.	2007/04～2016/03	Hiroshima International University Faculty of Engineering Lecture
4.	2016/04～2017/03	Elisabeth University of Music Part-time lecturer
5.	2016/04～2017/03	Hiroshima International University Faculty of Engineering Associate Professor
6.	2017/04～2019/03	Hiroshima shudo University The Faculty of Economic Sciences Associate Professor
7.	2019/04～	Hiroshima shudo University The Faculty of Economic Sciences Professor
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■ Book and thesis

1.	Thesis	A Proposal for the Improved Version of a Means of Measurement for the Assessment of Two Types of Input Methods: Keyboard Input and Flick Input (Collaboration) 2023/03
2.	Thesis	An Extended Technique for R-tree to Manage Multiple Type Objects (Collaboration) 2012/09
3.	Thesis	An extended MD-tree with internal leaf for efficient management of moving objects (Collaboration) 2009/08
4.	Thesis	An efficient spatio-temporal data structure for multi version management of engineering drawings (Collaboration) 2004/10

■ Academic conference presentation

1.	2021/11	A Proposal of a Means of Measurement for the Assessment of Two Types of Input Methods: Keyboard Input and Flick Input (Innovate Learning Summit Online 2021)
2.	2019/11	(E-Learn 2019)
3.	2019/06	Proposal of Practice Materials to Learn about Combining AI and IoT based on Graphical Programming Language using Free and Open Source Software (EdMedia 2019)
4.	2018/10	Development of AI Educational Program for Employees to Meet the Era of the Fourth Industrial Revolution (E-Learn 2018)
5.	2018/06	Development of IoT Educational Program for Workers to Meet the Era of the Fourth Industrial Revolution (EdMedia 2018)
6.	2017/12	Consideration of IoT Education Framework for Member of Society -Trial of IoT Workshop using the Closed LTE line-
7.	2016/11	Development of Learning Contents for University Students and New Employees Unfamiliar to PCs (E-Learn 2016)
8.	2015/10	Development of Comprehensive Information Technology Practices by the Virtual Machine for the Cloud Technology (E-Learn 2015)
9.	2014/09	Development of human computer interface based on eye movement using Emotiv EEG headset (The 17th World Congress of Psychophysiology（IOP2014）)
10.	2013/02	The Easily-Handled System Synchronizing Data Results on Moodle for iOS and Android Phones (The IASTED International Conference on Web-based Education 2013)
11.	2012/10	The system providing consecutive learning environments synchronizing with result data on Moodle (E-Learn 2012)
12.	2011/10	The system providing consecutive learning environments by digital tablets (E-Learn 2011)
13.	2011/06	An Extended Technique for R-tree to Manage Multiple Type Objects (SEDE-2011)
14.	2008/06	An Extended MD-tree With Internal Leaf For Efficient Management of Moving Objects (SEDE-2008)
15.	2007/07	An Efficient Update Algorithm for Spatial Data Structures Managing Moving Objects (CITSA2007)
16.	2005/06	An Efficient Management Method of Moving Objects by Direct Indexing (The 3rd ASGIS2004)
17.	2004/05	An Efficient Spatio -Temporal Data Structure for Multi Version Management of Engineering Drawings (The 2nd ASGIS2004)
18.	2003/03	Spatial Data Structure for Version Management of Engineering Drawings (CATA2003)
19.	1999/08	An Efficient Management Method of Moving Spatial Objects (IEEE PACRIM 1999)
20.	1998/11	Spatio-Temporal Data Management for Moving Objects Using The PMD-tree (ER ’98)
21.	1998/09	An Efficient Balanced Hierarchical Data Structure For Multiversion Accesses To Spatio-Temporal Data (EUSIPCO ‘98)
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■ Lecturer and lecture

1.	2015/08	IT　Fundamentals　Train　the　Trainer
2.	2014/08	IT　Fundamentals　Train　the　Trainer

■ Subject

1.	Directed Individual Studies
2.	Directed Individual Studies
3.	Directed Individual Studies
4.	Directed Individual Studies
5.	Fundamentals of Programming
6.	Information and Communication Network Practice
7.	Information System Practice
8.	Introduction to Computer Sciences I
9.	Introduction to Network theory I
10.	Seminar I
11.	Seminar II
12.	Studies in Information Communications I
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■ Main Subject

Introduction to Network theory

■ Committee and society

2018/01～

IoT Acceleration Consortium

■ Announcement about the education

1.	2019/09 Contribution Type : 共同
2.	2019/06 Contribution Type : 共同

■ Developed teaching materials, textbooks, reference books

1.	2023/06 Contribution Type : 単著
2.	2022/09 Contribution Type : 単著
3.	2021/04 Contribution Type : 単著
4.	2020/04 Contribution Type : 単著

■ Home Page

http://ns1.shudo-u.ac.jp/~hdekihar/

■ Message

Every cloud has a silver lining.