Name OGURA Nobuhiko
Official Title Associate Professor
Affiliation Department of Information Systems, Faculty of Informatics.
Profile Our research field is software and signal processing. A movement "networks and data changes the physical/real world" has continued with changing their appearance in several decades. While that has great vogue by different names such as Ubiquitous, Cyber-Physical System, M2M, IoT (Internet of Things), Industry 4.0, at any time, embedded systems (aka. equipment with embedded computer) play crucial roles in such movement. Their software must have relevant dependability with autonomous collaborative behaviour, efficiency to operate by limited resources, and robustness to be applicable in varous environments. We are researching methodology and tools of development of such software, and researching algorithms for sensing data. Topics that our research covers are modelling languages, debugging tools for embedded system / embedded software. By a kind of domain specific languages suited for reactive or algebraic application, efficiency and quality of the software can be improved. Other topics are programming paradigm and framework intended to apply to software that has unavoidable frequent alteration on their running environment. We also cover iterative approximation algorithms and their properties which can be used to solve inverse problems for measurement with sensors.
Research Field(Keyword & Summary)
  1. Software development, language and tools

    The research in our group is targeted at embedded systems. Methods or tools for model description for reactive systems or numerical processing are considered. By providing language/tools that can handle such methods, expected to be achieved the properties required by embedded systems. Programming paradigm and framework are also researched, to handle software used in complicated environments.

  2. Signal processing algorithms

    Recent highly networked sensing systems requires performance for processing algorithms. By increasing number of sensing points, and by distributed equipment in various environments, the severity of robustness disturbing applicability of algorithms. Also, they required to work with small resources than ever, because of the limitation of edge devices. Cloud offloading causes a variety of needs for algorithms that can handle large time constant and kind of compression caused by network transmission. Our research covers such algorithms with iterative approximation algorithms.

Representative Papers
  1. (1) Ikuta Tanigawa , Kenji Hisazumi , Nobuhiko Ogura , Midori Sugaya , Harumi Watanabe , Akira Fukuda: RTCOP: Context-Oriented Programming Framework based on C++ for Applying to Embedded Software Development, IPSJ Journal, Vol.60, No.8, pp.1338-1349, 2019.
  2. (2) Watanabe Harumi, Miwa Masahiro, Motoki Makoto, Ogura Nobuhiko, Kuboaki Shin, Hosoai Shintaro, Sugaya Midori, Hisazumi Kenji: A Contest-Style Project Based Learning on Academic Society for Embedded System Education, Journal of Japanese Society for Engineering Education, Vol.64, No.3, pp.41-46, 2016.
  3. (3) Nobuhiko Ogura, Harumi Watanabe: A Case Study of Embedded System Education Using Robot Contests, IPSJ Journal, Vol.49, No.10, pp.3531-3540, 2008.
  4. (4) Konstantinos Slavakis, Isao Yamada, Nobuhiko Ogura: The Adaptive Projected Subgradient Method over the Fixed Point Set of Strongly Attracting Nonexpansive Mappings, Numerical Functional Analysis and Optimization, Vol.27, Nos.7-8, pp.905-930, 2006.
  5. (5) Nobuhiko Ogura, Isao Yamada: A Deep Outer Approximating Half Space of the Level Set of Certain Quadratic Functions, Journal of Nonlinear and Convex Analysis, Vol.6, No.1, pp.187-201, 2005.
  6. (6) Isao Yamada, Nobuhiko Ogura: Hybrid Steepest Descent Method for Variational Inequality Problem over the Fixed Point Set of Certain Quasi-nonexpansive Mappings, Numerical Functional Analysis and Optimization, Vol.25, Nos.7-8, pp.619-655, 2005.
  7. (7) Nobuhiko Ogura, Isao Yamada: Convex Feasibility Problem with Prioritized Hard Constraints - Double Layered Projected Gradient Method, IEICE Trans. Fundamentals, Vol.E87-A, No.4, pp.872-878, 2004.
  8. (8) Nobuhiko Ogura, Isao Yamada: Non-strictly Convex Minimization over the Fixed Point Set of the Bounded Fixed Point Set of an Nonexpansive Mapping, Numer. Funct. Anal. Optim., Vol.24, Nos.1&2, pp.129-135, 2003.
  9. (9) Nobuhiko Ogura, Isao Yamada: Non-strictly Convex Minimization over the Fixed Point Set of an Asymptotically Shrinking Nonexpansive Mapping, Numer. Funct. Anal. Optim., Vol.23, Nos.1&2, pp.113-137, 2002.
  10. (10) Isao Yamada, Nobuhiko Ogura, Yukihiko Yamashita, Kohichi Sakaniwa: Quadratic Optimization of Fixed Points of Nonexpansive Mappings in Hilbert Space, Numer. Funct. Anal. Optim., Vol.19, Nos.1&2, pp.165-190, 1998.
Grant-in-Aid for Scientific Research Support: Japan Society for Promotion of Science (JSPS)
Recruitment of research assistant(s) No
Affiliated academic society (Membership type) Institute of Electronics, Information and Communication Engineers (Member)
Association for Computing Machinery (Member)
Acoustical Society of Japan (Member)
Education Field (Undergraduate level) Software Development, Signal Processing, Programming Languages
Education Field (Graduate level) Software and System Modeling