• Journal of Microbiology
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• 제33권2호
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• pp.95-102
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• 1995

A probability identification matrix of acidophilic Streptomyces was constructed. The phenetic data of the strains were derived from numerical classification described by Seong et al. The minimum number of diagnostic characters was determined using computer programs for calculation of different separation indices. The resulting matrix consisted of 25 clusters versus 53 characters. Theoretical evaluation of this matrix was achieved by estimating the chuster overlap and the identification scores for the Hypothetical Median Organisms (HMO) and for the representatives of each cluster. Cluster overlap was found to be relatively small. Identification scores for the HMO and the randomly selected representatives of each cluster were satisfactory. The matrix was assessed practically by applying the matrix to the identification of unknown isolates. Of the unknown isolates, 71.9% were clearly identified to one of eight clusters. The numerical classification data was also used to design a selective isolation medium for antibiotic-producing organisms. Four chemical substances including 2 antibiotics were determined by the DLACHAR program as diagnostic for the isolation of target organisms which have antimicrobial activity against Micrococcus luteus. It was possible to detect the increased rate of selective isolation on the synthesized medium. Theresults show that the numerical phenetic data can be applied to a variety of purposes, such as construction of identification matrix and selective isolation medium for acidophilic antinomycetes.

• 한국식물병리학회:학술대회논문집
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• 한국식물병리학회 2003년도 정기총회 및 추계학술발표회
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• pp.136.1-136
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• 2003

Bacterial grain rot by Burkholderia gluae cause severe damage in seedling and grain of rice after heading season. This seed-borne pathogen play a role as first infection agent that could be cause disease following cropping season. Until now the direct isolation of the bacteria has some trouble by interference of other bacteria existed inside seed. This study established convenient identification method as simple isolation with KB medium from seed showing symptom and using PCR identification. By this isolation method, B. glumae was isolated from 40 to 50％ in brown rice and inner hull, however, there were saprophytic bacteria and fungi outer hull. In PCR identification with Ogf4 and Ogr3 primer to these 25 isolates, the amplified products were presented in all of the collections but not in 10 saprophytic germs. The isolation rate was constant to 3 months stored seeds. This result provide a rapid and convenient isolation and identification of B. glumae.

• Earthquakes and Structures
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• 제3권3_4호
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• pp.249-270
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• 2012

This paper investigates the effectiveness of widely used identification methods to identify the response of seismically isolated structures supported on bearings with bilinear behavior. The paper shows that while both time domain and frequency domain methods predict with high accuracy the modal characteristics of structures isolated by linear isolation system, their performance degrades appreciably when the isolation system exhibits bilinear behavior even when its strength assumes moderate values (say 5% of the weight). The paper also shows that the natural period of isolated structure that results from bilinear isolation systems can be satisfactorily predicted with wavelet analysis.

• 전자공학회논문지CI
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• 제44권4호통권316호
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• pp.45-49
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• 2007

송신 시스템과 수신 시스템에 동일한 주파수를 사용하는 pulse-modulated 방식의 RFID (Radio Frequency IDentification) 시스템에서 송신 시스템과 수신 시스템 사이의 isolation특성은 중요한 문제점이다. 제안된 방법은 송신 시스템에 스위치와 믹서 오실레이터를 사용하여 RFID 시스템의 송신 시스템과 수신 시스템 사이의 isolation 특성을 개선하였다. 제안된 시스템은 송신 시스템에서 up-convert된 출력 신호와 수신 신호의 주파수를 다르게 하여 isolation 특성을 개선한 것이다. 이 방법을 사용하여 20 dB의 isolation 특성 개선 효과를 얻었다.

• 한국정밀공학회지
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• 제24권3호
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• pp.124-133
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• 2007

Active vibration isolation systems need the following performance specifications which are different from those of existing positioning systems: usage of seismic sensors, strict suppression of phase lead/lag in signal processing for sensors and actuators, excellent control in low frequency range and so on. In consideration of such specifications, a 3-DOF precision stage for vibration isolation is designed and modeled based on the physical characteristics. Then the major parameters such as spring constants and damping coefficients are valued by the system identification method using empirical transfer function. Finite element analysis is used as a verification and simulation tool throughout this research. This paper lays the foundation for the future research on the control of the active vibration isolation system.

• 한국식품영양학회지
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• 제13권4호
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• pp.379-382
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• 2000

한국산 자초 적색소의 추출조건과 적색소를 확인한 결과 자초에서 색소성분의 추출은 지용성 용제가 물에 비해서 추출력이 좋으며 특히 95% 에탄올이 적색소 추출에 효과적이었다. 적색소 성분의 추출은 침출 시간에 관계없이 비교적 고른 추출력을 보였으며 4$0^{\circ}C$이하에서 20분 정도 추출하면 적색소가 충분히 추출되었다. 한국산 자초뿌리의 적색소 성분을 분리하여, IR, NMR. GC/MS로 확인한 결과 대부분이 acetylshi-konin으로 동정되었다.

• Journal of Electrical Engineering and Technology
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• 제9권4호
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• pp.1401-1410
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• 2014

This paper presents a modified adaptive fading EKF (AFEKF) for sensor fault detection and isolation in the satellite. Also, the fault detection and isolation (FDI) scheme is developed in three phases. In the first phase, the AFEKF is modified to increase sensor fault detection performance. The sensor fault detection and sensor selection method are proposed. In the second phase, the IMM filer with scalar penalty is designed to detect wherever actuator faults occur. In the third phase of the FDI scheme, the sub-IMM filter is designed to identify the fault type which is either the total or partial fault. An important feature of the proposed FDI scheme can decrease the number of filters for detecting sensor fault. Also, the proposed scheme can classify fault detection and isolation as well as fault type identification.

• Bulletin of the Korean Chemical Society
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• 제29권12호
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• pp.2531-2532
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• 2008

• Preventive Nutrition and Food Science
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• 제7권3호
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• pp.305-309
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• 2002

Raw soybean sprouts were tested for contamination with the following bacteria which have potential for pathogenesis or food spoilage : Salmonella spp., Escherichia coli O157:H7, Yersinia enterocolitica, Vibrio parahae-molyticus, Aeromonas hydrophila, Plesidomonas shigeloides, Pseudomonas aeruginosa, Staphylococcus aureus, Lis-teria monocytogenes, Bacillus cereus, Clostridium perfringens, Campylobacter jejuni, Erwinia spp., and Fusarium spp. Three of the above strains were isolated from the sprouts, and identified by morphological and biochemical methods including an API kit and ATB automated identification system. The isolate cultured in Cereus selective agar, a selective medium, was a Gram-positive, rod shaped, anaerobic spore former. The biochemical and culture tests revealed the following characteristics: catalase-positive, no growth on Simmon's citrate, NO₂ production and requirement of arginine for growth; the ATB automated identification system gave 99.8 % agreement for the identification of Bacillus cereus to the species level. The isolate cultured in Macconkey agar selective medium was Gram-negative, rod shaped and a gas former; the ATB-system gave 99.9% agreement for the identification of Aeromonas hydrophila to the species level. The isolate found in Pseudomonas isolation agar was Gram-negative, rod shaped, cytochrome oxidase-positive, a reducer of nitrates to nitrogen, and pyocyanin producer; the ATB-system gave 99.9 % agreement for the identification of Pseudomonas aeruginosa to the species level. These results indicate that the three bacteria species present in the soybean sprouts were Bacillus cereus, Aero-monas hydrophila, and Pseudomonas aeruginosa. Salmonella spp., Escherichia coli O157:H7, and Yersinia enter-ocolitica, which are associated with serious disease in humans, were not isolated from soybean sprouts examined in this study.

• 약학회지
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• 제33권6호
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• pp.377-379
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• 1989

The methylated compound of ellagic acid was isolated from Potentilla chinensis (Rosaceae). The isolated compound was 3, 3', 4-tri-O-methylellagic acid, [2, 3, 7-trimethoxy-8-hydroxy[1] benzopyrano-[5, 4, 3, cde][1] benzopyran-5, 10-dione], $C_{17}H_{12}O_8$, m.p. $293-295^{\circ}C$. The isolation of trimethylellagic acid was conducted by the column chromatography and the identification of the compound was carried out by the methods of IR, NMR and MS spectroscopy.