Department of Computer Science and Engineering

  • Japan

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Software engineering Engineering & Materials Science
Embedded systems Engineering & Materials Science
Ubiquitous computing Engineering & Materials Science
Internet Engineering & Materials Science
Middleware Engineering & Materials Science
Experiments Engineering & Materials Science
Data storage equipment Engineering & Materials Science
Websites Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1984 2019

A robotic haptic feedback device for immersive virtual reality applications

Jiang, K., Piao, X., Al-Sada, M., Höglund, T., Ranade, S. & Nakajima, T., 2019 Jan 1, Ambient Intelligence – Software and Applications, 9th International Symposium on Ambient Intelligence. Novais, P., Durães, D., Jung, J. J., Fernández-Caballero, A., Navarro, E., González, P., Carneiro, D., Villarrubia González, G., Pinto, A. & Campbell, A. T. (eds.). Springer-Verlag, p. 146-154 9 p. (Advances in Intelligent Systems and Computing; vol. 806).

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

Virtual reality
Robotics
Feedback
Robots

Improved searchability of bug reports using content-based labeling with machine learning of sentences

Noyori, Y., Washizaki, H., Fukazawa, Y., Kanuka, H., Ooshima, K. & Tsuchiya, R., 2019 Jan 1, Knowledge-Based Software Engineering: 2018 - Proceedings of the 12th Joint Conference on Knowledge-Based Software Engineering, JCKBSE 2018. Kumeno, F., Oikonomou, K. & Virvou, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 75-85 11 p. (Smart Innovation, Systems and Technologies; vol. 108).

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

Labeling
Learning systems
Machine learning
Stakeholders

Making ambient music interactive based on ubiquitous computing technologies

Kinoshita, Y. & Nakajima, T., 2019 Jan 1, Ambient Intelligence – Software and Applications, 9th International Symposium on Ambient Intelligence. Novais, P., Durães, D., Jung, J. J., Fernández-Caballero, A., Navarro, E., González, P., Carneiro, D., Villarrubia González, G., Pinto, A. & Campbell, A. T. (eds.). Springer-Verlag, p. 199-207 9 p. (Advances in Intelligent Systems and Computing; vol. 806).

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

Computer music
Ubiquitous computing
Acoustic waves