Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Kazumasa Kono"'
Autor:
Makoto KATO, Daisuke KONO, Hayato YOSHIOKA, Naohiko SUGITA, Akihide HAMAGUCHI, Kazumasa KONO, Kazunori IIJIMA, Yasuhiro KAKINUMA
Publikováno v:
Nihon Kikai Gakkai ronbunshu, Vol 86, Iss 884, Pp 20-00002-20-00002 (2020)
New energy saving methods are required to address global climate change and resource depletion. New structural materials such as Carbon fiber reinforced plastic (CFRP) are used also in nowadays machine tools applications for energy efficiency improve
Externí odkaz:
https://doaj.org/article/f1ccb9fffd034e1fb32b8f9d429ffcd5
Publikováno v:
Vibration Engineering for a Sustainable Future ISBN: 9783030481520
Semi-active dynamic vibration absorbers can effectively suppress the vibrations of controlled objects subjected to external harmonic forces at various frequencies. A sliding-type semi-active dynamic vibration absorber with an electromagnet and a cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a442c023daf58a5b257b402baf1b27c
https://doi.org/10.1007/978-3-030-48153-7_34
https://doi.org/10.1007/978-3-030-48153-7_34
Publikováno v:
SSRN Electronic Journal.
New structural materials, such as carbon fiber reinforced plastic (CFRP), are used in modern machine tools for energy efficiency improvement by weight reduction. Furthermore, CFRP can manipulate thermal expansion with the fiber orientation, and this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f54940d9f4dc7e5461c83d7a01888c74
https://doi.org/10.2139/ssrn.3724093
https://doi.org/10.2139/ssrn.3724093
Publikováno v:
Journal of the Japan Society for Precision Engineering. 60:581-585
This paper describes the influence of tool angles, especially rake angles, on the surface integrity of mirror cutting material. In this study, strain distribution in damaged layer is measured by a newly developed method. This method is applied electr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::447f4cb238e787fb59e559645f2a2a19
https://doi.org/10.2493/jjspe.60.581
https://doi.org/10.2493/jjspe.60.581
Autor:
Kazumasa Kono
Publikováno v:
Memoirs of the Faculty of Science, Kyushu University. Series A, Mathematics. 7:1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb9455982038f33534e961d19db160bd
https://doi.org/10.2206/kyushumfs.7.1
https://doi.org/10.2206/kyushumfs.7.1
Autor:
Kazumasa Kono, Hisao Uranishi
Publikováno v:
Bulletin of Mathematical Statistics. 10:57-68
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6097cf1499daebaf362ba482c31a2ce8
https://doi.org/10.5109/13001
https://doi.org/10.5109/13001
Autor:
Kazumasa Kono
Publikováno v:
Bulletin of Mathematical Statistics. 4:33-35
Our procedure appealing to the use of the order statistics is very useful, under the circumstances where the following conditions are satisfied; (i) The regression curve is linear. (ii) There are the available imformation of distribution form. (iii)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25153c7b87829992d36e44f00da60a32
https://doi.org/10.5109/12948
https://doi.org/10.5109/12948
Autor:
Kazumasa Kono
Publikováno v:
Bulletin of Mathematical Statistics. 4(1/2):36-38
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64b15803b58d8d16aa14bce40bf07381
http://hdl.handle.net/2324/12949
http://hdl.handle.net/2324/12949
Autor:
Kazumasa Kono
Publikováno v:
Memoirs of the Faculty of Science, Kyushu University. Series A, Mathematics. 18:120-120
J. Kiefer [4] showed that the optimum designs for quadratic regression k-dimensional cube for k≤5 exist in a certain class of designs but his class do not contain the optimum designs for k≥6. We prove that the optimum designs in such settings for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b822c34036765875920e685f28e282e
https://doi.org/10.2206/kyushumfs.18.120
https://doi.org/10.2206/kyushumfs.18.120