Fingerprint Dive into the research topics where Department of Electrical Engineering is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Electric potential Engineering & Materials Science
Networks (circuits) Engineering & Materials Science
Image sensors Engineering & Materials Science
Switches Engineering & Materials Science
Pixels Engineering & Materials Science
Erbium Engineering & Materials Science
Monolithic microwave integrated circuits Engineering & Materials Science
Bismuth Engineering & Materials Science

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Research Output 1980 2020

Implementation of a Digital Signature in Backward-Compatible QR Codes Using Subcell Division and Double Encoding

Teraura, N., Echizen, I. & Iwamura, K., 1 Jan 2020, Innovative Mobile and Internet Services in Ubiquitous Computing - Proceedings of the 13th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing IMIS-2019. Barolli, L., Xhafa, F. & Hussain, O. K. (eds.). Springer Verlag, p. 466-476 11 p. (Advances in Intelligent Systems and Computing; vol. 994).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Electronic document identification systems
1 Citation (Scopus)

A Boost-Type Nine-Level Switched Capacitor Inverter

Nakagawa, Y. & Koizumi, H., 1 Jul 2019, In : IEEE Transactions on Power Electronics. 34, 7, p. 6522-6532 11 p., 8492438.

Research output: Contribution to journalArticle

Capacitors
Electric potential
Experiments
MATLAB
Capacitance
1 Citation (Scopus)

Accuracy improvement of depth estimation with tilted optics by optimizing neural network

Ikeoka, H. & Hamamoto, T., 1 Jan 2019, International Workshop on Advanced Image Technology, IWAIT 2019. Hayase, K., Kemao, Q., Lau, P. Y., Lie, W-N., Yu, L., Srisuk, S. & Lee, Y-L. (eds.). SPIE, 1104934. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11049).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Depth Estimation
Optics
Pixel
Pixels
optics
1 Citation (Scopus)

A Machine-Learning-Based Channel Assignment Algorithm for IoT

Ma, J., Nagatsuma, T., Kim, S. J. & Hasegawa, M., 18 Mar 2019, 1st International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2019. Institute of Electrical and Electronics Engineers Inc., p. 467-472 6 p. 8669028. (1st International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning systems
Internet of things
Printed circuit boards
Data storage equipment
Communication

A machine-learning-based post filtering method utilizing block boundary information in HEVC

Yamaki, Y., Kameda, Y., Matsuda, I. & Itoh, S., 1 Jan 2019, International Workshop on Advanced Image Technology, IWAIT 2019. Yu, L., Hayase, K., Kemao, Q., Srisuk, S., Lau, P. Y., Lie, W-N. & Lee, Y-L. (eds.). SPIE, 1104932. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11049).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

machine learning
Block Method
Support vector machines
Learning systems
Machine Learning

An Evaluation of Wooden House Health Monitoring System using PVDF Piezoelectric Sensor with 3-layer Neural Network and Inverted Binary-Data Augmentation

Takahashi, N., Sakiyama, N., Yamamoto, T., Kishi, S., Hashizume, Y., Nakajima, T., Yamamoto, T., Hasegawa, M., Ito, T. & Kawahara, T., Jan 2019, SAMI 2019 - IEEE 17th World Symposium on Applied Machine Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 135-140 6 p. 8782723. (SAMI 2019 - IEEE 17th World Symposium on Applied Machine Intelligence and Informatics, Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Piezoelectric Sensor
Data Augmentation
Binary Data
Health Monitoring
Monitoring System

A reinforcement-learning-based distributed resource selection algorithm for massive IoT

Ma, J., Hasegawa, S., Kim, S. J. & Hasegawa, M., 1 Sep 2019, In : Applied Sciences (Switzerland). 9, 18, 3730.

Research output: Contribution to journalArticle

Open Access
Reinforcement learning
reinforcement
learning
resources
prototypes
2 Citations (Scopus)

A study on development of a hybrid aerial terrestrial robot system for avoiding ground obstacles by flight

Premachandra, C., Otsuka, M., Gohara, R., Ninomiya, T. & Kato, K., 1 Jan 2019, In : IEEE/CAA Journal of Automatica Sinica. 6, 1, p. 327-336 10 p., 8476637.

Research output: Contribution to journalArticle

Antenna grounds
Robots
Antennas
Collision avoidance
Helicopters

Autonomous Wireless System Optimization Method based on Cross-layer Modeling using Machine Learning

Oshima, K., Ma, J. & Hasegawa, M., Jul 2019, ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, p. 239-244 6 p. 8806031. (International Conference on Ubiquitous and Future Networks, ICUFN; vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning systems
Radio systems
Cognitive radio
Wireless local area networks (WLAN)