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Asymptotic System Indentification Method Based on Particle Swarm Optimization
Hideo Muroi,Shuichi Adachi 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In general, structure of a system to be identified is unknown for users a priori. This makes the model complex and high order structure. In this paper, we introduce the asymptotic method. (ASYM) to deal with the problem. ASYM calculates a high-order model using the well-known least squares method, then reduces the identified model to a simple one. For this model reduction, various model reduction techniques such as balanced realization and output error reduction were developed. In this paper, a new method to reduce the high-order model using the particle swarm optimization in the frequency domain is proposed. Effectiveness of the proposed method is examined through numerical examples.
Speaker Independent Phoneme Recognition Based on Fisher Weight Map
Takashi Muroi,Tetsuya Takiguchi,Yasuo Ariki 보안공학연구지원센터 2008 International Journal of Hybrid Information Techno Vol.1 No.3
We have already proposed a new feature extraction method based on higher-order local auto-correlation and Fisher weight map (FWM) at Interspeech2006. This paper shows effectiveness of the proposed FWM in speaker dependent and speaker independent phoneme recognition. Widely used MFCC features lack temporal dynamics. To solve this problem, local auto-correlation features are computed and accumulated by weighting high scores on the discriminative areas. This score map is called Fisher weight map. From the speaker dependent phoneme recognition, the proposed FWM showed 79.5% recognition rate, by 5.0 points higher than the result by MFCC. Furhermore by combing FWM with MFCC and ¢MFCC, the recognition rate improved to 88.3%. In the speaker independent phoneme recognition, it showed 84.2% recognition rate, by 11.0 points higher than the result by MFCC. By combining FWM with MFCC and ¢MFCC, the reecognition rate improved to 89.0%.
PC-766B' and PC-766B, 16-Membered Macrolide Angiogenesis Inhibitors Produced by Nocardia sp. RK97-56
KO, HACK-RYONG,KAKEYA, HIDEAKI,YOSHIDA, ARIKA,ONOSE, RIE,UEKI, MASASHI,MUROI, MAKOTO,TAKATSUKI, AKIRA,MATSUZAKI, HIROSHI,OSADA, HIROYUKI 한국미생물 · 생명공학회 2002 Journal of microbiology and biotechnology Vol.12 No.5
Angiogenesis is an essential event in a variety of physiological and pathological processes. Therefore, effective inhibition of event is a promising strategy for treating angiogenesis-related diseases, including cancer. The current study investigated two unique bafilomycin-type macrolide inhibitors of angiogenesis, PC-766B' (1) and PC-766B (2). The strain RK97-56 which produced the inhibitors was identified as Nocardia sp. by chemotaxonomic analyses, and the purification of the inhibitors was guided by their anti-angiogenic actives. PC-766B' (1) and PC-766B (2) exhibited potent inhibitory activities towards endothelial cell migration stimulated by the vascular endothelial growth factor(VEGF).
Fusarisetin A, an Acinar Morphogenesis Inhibitor from a Soil Fungus, Fusarium sp. FN080326
Jang, Jae-Hyuk,Asami, Yukihiro,Jang, Jun-Pil,Kim, Sun-Ok,Moon, Dong Oh,Shin, Kee-Sun,Hashizume, Daisuke,Muroi, Makoto,Saito, Tamio,Oh, Hyuncheol,Kim, Bo Yeon,Osada, Hiroyuki,Ahn, Jong Seog American Chemical Society 2011 JOURNAL OF THE AMERICAN CHEMICAL SOCIETY - Vol.133 No.18
<P>An acinar morphogenesis inhibitor named fusarisetin A (<B>1</B>) that possesses both an unprecedented carbon skeleton and a new pentacyclic ring system has been identified from an in-house fractionated fungal library using a three-dimensional matrigel-induced acinar morphogenesis assay system. The structure of <B>1</B> was determined in detail by NMR and circular dichroism spectroscopy, X-ray analysis, and chemical reaction experiments.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/jacsat/2011/jacsat.2011.133.issue-18/ja1110688/production/images/medium/ja-2010-110688_0005.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/ja1110688'>ACS Electronic Supporting Info</A></P>