著者

保本 正芳 向井 苑生 佐野 到

出版者

近畿大学理工学総合研究所

雑誌

理工学総合研究所研究報告 (ISSN:09162054)

巻号頁・発行日

no.22, pp.45-48, 2010-02

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multi-spectral photometer of NASA/AERONET has been working at Kinki University campus in Higashi-Osaka since 2002 for measuring urban aerosols. Standard products of aerosol characteristics, e.g. optical thickness of aerosols (AOT), Angstrom Exponent (α), size distribution parameters etc, are provided on the NASA/AERONET Web page. We classify atmospheric particles into three clusters by using AOT and α of the AERONET data. We identified these clusters as desert dust, urban industrial pollution and background aerosols. Software SPSS was used for the cluster analysis.

著者

千川 道幸 海野 和三郎 湯浅 学

出版者

近畿大学

雑誌

理工学総合研究所研究報告 (ISSN:09162054)

巻号頁・発行日

vol.1, pp.35-39, 1989-01

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The structure in the Virgo Cluster is studied on the basis of fractal structure analysis. The numbers of galaxies used are about two hundreds in this analysis in the area of 12h to 13h and 0° to 20° of right ascension and declination respectively. We get a result of the fractal dimension of 1.98±0.23 as preliminary result.

著者

湯浅 学 Umetani Masafumi Yamamoto Nawo DAS M. K.

出版者

近畿大学

雑誌

理工学総合研究所研究報告 (ISSN:09162054)

巻号頁・発行日

vol.17, pp.1-7, 2005-02-28

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It happens frequently that the observational data is not complete but missing partly by various reasons. A preliminary study for supplementing adjusted values to such imperfect data based on Principal Component Analysis (PCA) is executed. IRAS 3 colors of mass-losing stars and their expanding velocity on the ground based observations are adopted for the experiment. One of these 4 data is eliminated for each star and the adjusted value is restored. The original data and the restored one are compared and the distribution of the restored errors is studied.本文データの一部は、CiNiiから複製したものである。

著者

Unno Wasaburo

出版者

近畿大学

雑誌

理工学総合研究所研究報告 (ISSN:09162054)

巻号頁・発行日

vol.3, pp.1-5, 1991-01-30

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[Abstract] Earth as a whole can be considered as a multi-dimensional dynamical system if not completely an isolated system. Global environment problem, for example, should be described in multi-dimensional phase space consisting of all observables including space and time. Multi-dimensional representation of one variable, e.g., temperature at one position, changing with time is first described, and is generalized to multi-dimensional representation of several variables, temperatures at several positions, and then is generalized to that of many variables, all the characteristic quantities of the system at various space-time positions. The multi-dimensional representation should be adopted to the dynamical system analysis described by a system of differential equations as well as the analysis of the observational data system of any dynamical system.