Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Haruya MATSUMOTO"'
Autor:
Haruya MATSUMOTO
Publikováno v:
Antarctic Record, Iss 52, Pp 74-77 (1975)
An outline of the auroral particle detector which is planned to be flown in the Japanese Antarctic rocket experiments during IMS is presented. The detector uses a combination of curved plate electrostatic analysers and channel electron multipliers to
Externí odkaz:
https://doaj.org/article/55e389130e254bfbad9124977f6782c8
Autor:
Haruya MATSUMOTO, Nobuyuki KAYA
Publikováno v:
Antarctic Record, Iss 69, Pp 86-90 (1980)
Electron fluxes in the energy range of 3-6 keV were measured by means of an electron spectrometer (ESM) on board the S-310JA-1 rocket launched at Syowa Station at 1245 LT on February 13, 1976. Electron fluxes in the altitude range between 90 km and 2
Externí odkaz:
https://doaj.org/article/62af397ca2c649c9998de2c0c704e924
Publikováno v:
Transactions of the Society of Instrument and Control Engineers. 32:768-775
Publikováno v:
Transactions of the Society of Instrument and Control Engineers. 31:382-390
Publikováno v:
Transactions of the Society of Instrument and Control Engineers. 29:1055-1063
Publikováno v:
Transactions of the Society of Instrument and Control Engineers. 29:1465-1473
Publikováno v:
Transactions of the Society of Instrument and Control Engineers. 28:887-895
Autor:
Eiichi Sagawa, Masafumi Hirahara, Wataru Miyake, Toshifumi Mukai, Shinobu Machida, Tomizo Itoh, Hiroshi Miyaoka, Masaki Ejiri, Haruya Matsumoto, Nobuyuki Kaya, Takahiro Obara, Hisao Yamagishi
Publikováno v:
Journal of geomagnetism and geoelectricity. 42:479-496
The Japanese Akebono (EXOS-D) satellite was successfully put into a semipolar, elliptical orbit in order to study particle acceleration processes in the auroral magnetosphere. The onboard LEP (low energy particle) instrument makes three distinct type
Publikováno v:
Transactions of the Society of Instrument and Control Engineers. 33:1046-1048
Publikováno v:
Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).
Describes the acoustic diagnosis technique for a compressor using a hybrid neural network (HNN). The HNN is composed of two neural networks, an acoustic feature extraction network using a backpropagation network (BPN) and a fault discrimination netwo