Researcher Database | Faculty of Engineering Department of Information and Computer Science | Hirofumi Sanada |

（Last updated : 2024-03-02 08:18:46）

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Hirofumi Sanada

Department / Course Hokkaido University of Science Faculty of Engineering Department of Information and Computer Science

Job Professor

Academic background
1998/12 Degree Acquisition
1993/03 Degree Acquisition

Present specialized field
Others, Science education, High performance computing

Book and thesis
Papers	Application of Circuit Theory to Wave Phenomena in Graphene Journal of Signal Processing (Co-authored) 2021/03
Papers	Reconsideration of Maxwel lEquation fo rApplication of Quantum Theory Journal of Signal Processing (Co-authored) 2020/11
Papers	「国際会議プロシーディングス」 Transmission Line Analogy for Wave Propagation in Graphene-based Structures 2018 Progress In Electromagnetics Research Symposium,pp.405-409 (Co-authored) 2018/08
Papers	Estimating the Quality of Fractal Compressed Images Using Lacunarity IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E101-A (6),pp.900-903 (Co-authored) 2018/06

Academic conference presentation
2018/08	Transmission Line Analogy for Wave Propagation in Graphene-based Structures (2018 Progress In Electromagnetics Research Symposium (https://ieeexplore.ieee.org/document/8597700))
2012/07	Analysis of Fractal Compressed Images (The 27th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2012), P-T1-04 : ISBN　978-4-88552-273-4 C3055)
2012/03	Numerical Design of Matching Structures for Characteristic Improvement of Finite Periodic Structure (Proceedings of Progress In Electromagnetics Research Symposium, PIERS 2012 in Kuala Lumpur, Malaysia: ISSN 1559-9450)
2009/10	Quality Estimation of Fractal Coded Images by Using Level of Self-Similarity (2009 APSIPA Annual Summit and Conference (APSIPA ASC 2009), WA-P2-2)
2008/01	Quality Estimation of Fractal Coded Images Based on Image Features (International Workshop on Advanced Image Technology 2008: ISSN 09135685)
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