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- 저자 : Tomoko Hirao (검색결과 2 건)
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Resonance Frequency Estimation of Time-Series Data by Subspace Method
Tomoko Hirao,Shuichi Adachi 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper studies an estimation problem of a dominant resonance frequency from time-series data. We proposed an estimatio method which incorporates system identification technique into time-series analysis. However, this method has a problem that the estimated resonance frequency is biased. In this paper, a new method which uses subspace method is proposed based on time-series data. The key idea of this method is to use an auto-covariance function of the time-series data instead of impulse response or ordinary input-output data. Hankel matrix of the time-series is consturcted by the auto-convariance function. Then, subspace method is applied to the Hankel matrix, and the resonance frequency can be calculated. Effectiveness of the method is examined through numerical examples.
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Atsushi Kuno,Masaharu Nomura,Hideki Matsuzaki,Tomoko Nakagawa,Atsushi Matsuda,Yoshitoshi Hirao,Masao Sasaki,Norihiro Ikeda,Toshitaka Nagao,Yuzuru Ikehara,Hisashi Narimatsu 한국당과학회 2012 한국당과학회 학술대회 Vol.2012 No.1
Cell glycome is defined by the glyco synthesis machinery regulated by harmonized expression of more than 100 glycogenes. The machinery-dependent glycome drastically shifts during cell progression and differentiation in association with tumorigenesis and malformation, and thus it motivates us to discover the disease-related alteration in glycosylation. Glycan-targeted histochemical approaches using lectin and anti-glycogene antibodies have provided some key information to characterize specific histological types of cells in pathology. However, this approach is not suitable for the comprehensive analysis targeting the cell glycome, and thus may fail to provide insight into glycome shift during the disease progression. Several years ago, we developed the methodology for rapid and systematic glycome shift analysis targeting formalin-fixed tissue specimens by means of lectin microarray. The resultant method enabled simultaneous observation of over 40 lectins interacted with glycoproteins in 1 mm2 of the tissue specimens. Recently, we sophisticated this methodology to be suitable for comparative analysis of a series of cells in specific groups isolated from a single tissue specimen by laser microdissection, and now our research has gained interest in the variability and distribution of cell glycome in the tissue, i.e., “tissue glycome mapping”. In this meeting, we will summarize the advantage of this new methodology and its application for glyco-biomarker discovery, as well as the construction of “tissue glycome atlas”.
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