Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Kosuke Okusa"'
Autor:
Takashi Ota, Kosuke Okusa
Publikováno v:
Journal of Physiological Anthropology, Vol 43, Iss 1, Pp 1-14 (2024)
Abstract Background Heart rate is one of the most crucial vital signs and can be measured remotely using microwave Doppler radar. As the distance between the body and the Doppler radar sensor increases, the output signal weakens, making it difficult
Externí odkaz:
https://doaj.org/article/5ab5c80f61b047eb97fdf367494a80c2
Publikováno v:
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de69128a125a3bf37a79a57b499f3950
https://doi.org/10.1109/iecon49645.2022.9969061
https://doi.org/10.1109/iecon49645.2022.9969061
Autor:
Fumi Kishida, Kosuke Okusa, Tomoaki Fuji, Yuka Egashira, Yoshito Ogata, Midori Motoi, Hiroko Noto, Shigeki Watanuki
Publikováno v:
Psychology. 11:1-12
In this study, we examined the factor composition of negative impressions of city office staff among 104 male and female university and graduate students with previous experience dealing with city offices, and the personal traits associated with thes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d3bc369811c63ac5ee053bca9ff16ee
https://doi.org/10.4236/psych.2020.111001
https://doi.org/10.4236/psych.2020.111001
Publikováno v:
IEEE Transactions on Semiconductor Manufacturing. 32:434-437
This paper describes methods and evaluation results of predicting the number of defects in image sensors using equipment QC data. Virtual metrology (VM) models are mainly used for measurable values such as dimensions and electrical characteristics. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c30aca03f29db4e718157eb0dca36ad
https://doi.org/10.1109/tsm.2019.2941585
https://doi.org/10.1109/tsm.2019.2941585
Autor:
Kosuke Okusa1 okusa@design.kyushu-u.ac.jp, Toshinari Kamakura2 kamakura@indsys.chuo-u.ac.jp
Publikováno v:
IAENG International Journal of Applied Mathematics. 2018, Vol. 48 Issue 2, p111-117. 7p. 3 Diagrams, 1 Chart, 5 Graphs.
Publikováno v:
2020 International Symposium on Semiconductor Manufacturing (ISSM).
Accurate prediction of product performance is very important in semiconductor manufacturing processes. Manufacturing plants with high-mix low-volume types face the problem of having to create many quality prediction models with a small sample size. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::619db3ffc453010ba559d5eec268051d
https://doi.org/10.1109/issm51728.2020.9377513
https://doi.org/10.1109/issm51728.2020.9377513
Autor:
Toshinari Kamakura, Kosuke Okusa
Publikováno v:
Transactions on Engineering Technologies ISBN: 9789811307454
In this study, we investigate the possibility of analyzing indoor location estimation under the NLoS environment by radial extreme value distribution model based on the simulation. We assume that the observed distance between the transmitter and rece
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d39b0b2b536b723d07e0c2c7b640782
https://doi.org/10.1007/978-981-13-0746-1_5
https://doi.org/10.1007/978-981-13-0746-1_5
Autor:
Kosuke Okusa1 k.okusa@me.com, Toshinari Kamakura1 kamakura@indsys.chuo-u.ac.jp
Publikováno v:
IAENG International Journal of Applied Mathematics. 2013, Vol. 43 Issue 4, p220-225. 6p.
Autor:
Toshinari Kamakura, Kosuke Okusa
Publikováno v:
Transactions on Engineering Technologies ISBN: 9789811027161
We study the problem of analyzing indoor location estimation by statistical radial distribution model. In this study, we suppose the observed distance data between transmitter and receiver as a statistical radial distribution. The proposed method is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f195061a8bc1e461249e6da373bd456f
https://doi.org/10.1007/978-981-10-2717-8_7
https://doi.org/10.1007/978-981-10-2717-8_7
Autor:
Toshinari Kamakura, Kosuke Okusa
Publikováno v:
Cross-Cultural Design ISBN: 9783319400921
HCI (11)
HCI (11)
We study the problem of analyzing and classifying frontal view gait video data. In this study, we focus on the shape scale changing in the frontal view human gait, we estimate scale parameters using the statistical registration and modeling on a vide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bad4bed13945c222ad00e2a4194a91f1
https://doi.org/10.1007/978-3-319-40093-8_66
https://doi.org/10.1007/978-3-319-40093-8_66