Zobrazeno 1 - 10 of 72 pro vyhledávání: '"Takashi UOZUMI"'
1
Experiences and problems with hygiene masks reported by Japanese hay fever sufferers
Autor: Masayoshi Kamijo, Takashi Uozumi, Mika Morishima, Koya Kishida
Publikováno v: International Journal of Clothing Science and Technology. 26:262-273
Purpose – In Japan, one of the countermeasures used to avoid the symptoms of hay fever (HF) is a hygiene mask; however, a mask can cause discomfort. The authors believe that co-occurrence analysis, which has been widely in the sciences, will be val
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fc97d66dd996fbd03c48ff672560234b
https://doi.org/10.1108/ijcst-08-2013-0093
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3
Usability Problems in users of specialized and generic masks for protection against pollen
Autor: Koya Kishida, Mika Morishima, Takashi Uozumi, Masayoshi Kamijo
Publikováno v: Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 57:1541-1545
The long-term goal of this study was to identify improvements to both the functionality and comfort of a hygiene masks that protect the wearer from pollen. We conducted a survey on young adults who suffer from hay fever and who use specialized or gen
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::72e6de0b3dbe7e3d17bbda9af3b96580
https://doi.org/10.1177/1541931213571343
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5
A Discovery of Physiological and Psychological Connection Based on Bayesian Network
Autor: Ali Abrishamian, Takashi Uozumi, Kentaro Fukuta, Junichiro Wakatsuki
Publikováno v: Transactions of Japan Society of Kansei Engineering. 11:167-173
The design of graphical Kansei models varies among Kansei domains. This report introduces a Kansei modeling technique based on a Bayesian network and correlation analysis. These methods can explain the connection among concepts such as human physiolo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::04caf75fc989085e173e6953e6dd4637
https://doi.org/10.5057/jjske.11.167
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7
A Hierarchical Image Annotation Method Based on SVM and Semi-supervised EM
Autor: Yi-Xin Yin, Takashi Uozumi, Yan-Yu Gao
Publikováno v: Acta Automatica Sinica. 36:960-967
Automatic image annotation, which aims at automatically identifying and then assigning semantic keywords to the meaningful objects in a digital image, is not a very difficult task for human but has been regarded as a difficult and challenging problem
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::92adf2f5db6e2d2cb650d5f2d3a15052
https://doi.org/10.1016/s1874-1029(09)60041-0
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