Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Hiroshi, Ijima"'
Publikováno v:
Mechanical Engineering Journal, Vol 8, Iss 1, Pp 20-00459-20-00459 (2021)
The “Flutter-mill” is a power generation device that can be parallelized and downsized more easily than conventional wind-power generators with the added advantage of lower manufacturing costs. Flutter-mills comprise a flexible sheet with an elec
Externí odkaz:
https://doaj.org/article/53c6b6d2e0ac4cc484416547c4b35ef6
Autor:
Akio YAMANO, Hiroshi IJIMA
Publikováno v:
Nihon Kikai Gakkai ronbunshu, Vol 84, Iss 864, Pp 18-00054-18-00054 (2018)
Some organisms using undulatory locomotion show the transition of the swimming frequency and the wavelength of the undulation. This transition of swimming behavior is achieved by sensory feedback, and may have the role to cope with the environmental
Externí odkaz:
https://doaj.org/article/fed77b41794c464e9689cb46854ef175
Publikováno v:
Journal of Sound and Vibration. 478:115359
This study reports on numerical simulations of the flow-induced vibration of a sheet by considering geometrical nonlinearity and wake shedding from the trailing edge. Recently, a few studies proposed energy harvesters using flow-induced vibration, wh
Autor:
Eric Grivel, Hiroshi Ijima
Publikováno v:
Signal Processing. 92:857-871
A great deal of interest has been paid to autoregressive parameter estimation in the noise-free case or when the observation data are disturbed by random noise. Tracking time-varying autoregressive (TVAR) parameters has been also discussed, but few p
Autor:
Hiroshi Ijima, Akira Ohsumi
Publikováno v:
Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 2009:210-214
Publikováno v:
Electronics and Communications in Japan (Part III: Fundamental Electronic Science). 90:29-38
This paper proposes a method for detecting a signal embedded in nonstationary noise. In most past studies of the signal detection problem, random noise is considered as a stationary stochastic process, since it is mathematically easy to handle. Howev
Publikováno v:
ICASSP
Estimating the autoregressive parameters from noisy observations has been addressed by various authors for the last decades. Although several on-line or off-line approaches have been proposed when the additive noise is white, few papers deal with the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c9ab9b4698ed590c3a09f4f9f48d0d1
https://hal.archives-ouvertes.fr/hal-00930125
https://hal.archives-ouvertes.fr/hal-00930125
Publikováno v:
Signal Processing: Image Communication. 19:755-770
Estimation of time-varying motion parameters of moving objects is considered. The motion parameters are mapped into the instantaneous frequency (IF) of a frequency modulated signal. The IF estimation is obtained by using the Wigner distribution. Gene
Publikováno v:
The Proceedings of the Dynamics & Design Conference. 2018:412
Autor:
Akira Ohsumi, Hiroshi Ijima
Publikováno v:
Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 1997:155-160