Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Miyoko Nakano"'
Publikováno v:
共立女子大学看護学雑誌 = Kyoritsu journal of nursing. 9:1-12
目的:成人看護学実習にテレナーシングを導入した教育プログラムの効果を学生の自己評価から検討する。方法:成人看護学実習Ⅱを履修した学生100名に患者教育プランの実施状況や認
Autor:
Toshiaki Hosaka, Miyoko Nakano, Yusuke Sugiyama, Masahiko Furubayashi, Kenichi Namba, Hitoshi Tsuyuzaki, Hidenobu Takei
Publikováno v:
Nihon Naika Gakkai Zasshi. 102:1458-1460
Publikováno v:
International Journal of Computational Intelligence and Applications. :153-163
Research on "man-machine interface" has increased in many fields of engineering and its application to facial expressions recognition is expected. The eigenface method by using the principal component analysis (PCA) is popular in this research field.
Publikováno v:
RADIOISOTOPES. 47:691-696
Publikováno v:
RADIOISOTOPES. 46:627-631
Autor:
Yusuke, Sugiyama, Hidenobu, Takei, Hitoshi, Tsuyuzaki, Masahiko, Furubayashi, Toshiaki, Hosaka, Miyoko, Nakano, Kenichi, Namba
Publikováno v:
Nihon Naika Gakkai zasshi. The Journal of the Japanese Society of Internal Medicine. 102(6)
Publikováno v:
Asia-Pacific journal of public health. 23(4)
Because suicide is increasingly becoming a public health threat in Japan, it is necessary to identify high-risk groups to develop effective preventive measures. The suicide mortality trends from 1985 to 2006 for Japanese aged between 15 and 79 years
Autor:
Satoru Tsuge, Minoru Fukumi, Yasue Mitsukura, Takuya Akashi, Stephen Karungaru, Miyoko Nakano
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540748281
KES (3)
KES (3)
This paper presents an improved statistical learning algorithm for feature generation in pattern recognition and signal processing. It is approximately derived from geometrical interpretation of the Fisher linear discriminant analysis (FLDA). The pri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c62730444a37235797cad1a137ab28b5
https://doi.org/10.1007/978-3-540-74829-8_12
https://doi.org/10.1007/978-3-540-74829-8_12
Publikováno v:
Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..
Recently, research about man-machine interfaces has increased. Therefore application to facial expressions is expected from the development of the man-machine interface. An eigen-face method is popular in these research fields by using the principal
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540233183
KES
KES
For achieving high-accurate age classification, this study focuses on the edge information that consists of all wrinkles in a face and also a neck. Density histogram in which the value of the edge intensity of the vertical direction and the horizonta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97b516743d6ae0593b46bf252d519c73
https://doi.org/10.1007/978-3-540-30132-5_121
https://doi.org/10.1007/978-3-540-30132-5_121