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Fingerprint Dive into the research topics where Kosuke Okusa is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Gait analysis Engineering & Materials Science
Gait Mathematics
Experiments Engineering & Materials Science
Weibull distribution Engineering & Materials Science
Microwaves Engineering & Materials Science
Image sensors Engineering & Materials Science
Parameter estimation Engineering & Materials Science
Support vector machines Engineering & Materials Science

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Research Output 2012 2019

Prediction of the number of defects in image sensors by vm using equipment QC data

Okazaki, T., Okusa, K. & Yoshida, K., Feb 22 2019, 2018 International Symposium on Semiconductor Manufacturing, ISSM 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8651135. (IEEE International Symposium on Semiconductor Manufacturing Conference Proceedings; vol. 2018-December).

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

Image sensors
Defects
Particles (particulate matter)
Dust

Prediction of the number of defects in image sensors by VM using equipment QC Data

Okazaki, T., Okusa, K. & Yoshida, K., Nov 2019, In : IEEE Transactions on Semiconductor Manufacturing. 32, 4, p. 434-437 4 p., 8839510.

Research output: Contribution to journalArticle

Image sensors
metrology
regression analysis
Defects
sensors
Location Estimation
Value Distribution
Weibull distribution
Weibull Distribution
Weibull

A simulation study on performance validation of indoor location estimation based on the radial positive distribution

Okusa, K. & Kamakura, T., Feb 4 2017, Transactions on Engineering Technologies: World Congress on Engineering and Computer Science 2015. Springer Singapore, p. 89-99 11 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Industrial engineering
Computer science

Statistical indoor location estimation for the NLoS environment using radial extreme value weibull distribution

Okusa, K. & Kamakura, T., Jan 1 2017, Proceedings of the World Congress on Engineering 2017, WCE 2017. Korsunsky, A. M., Hunter, A., Gelman, L., Ao, S. I. & Hukins, D. WL. (eds.). Newswood Limited, p. 555-560 6 p. (Lecture Notes in Engineering and Computer Science; vol. 2230).

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

Weibull distribution
Experiments
Radio transmitters
Transmitters