• Proceedings of the Korean Society of Plant Pathology Conference
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• 2003.10a
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• pp.125.1-125
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• 2003

Pepper anthracnose is one of the major limiting factors in pepper production. Boring last over 10 years, Colletotrichum gloeosporioides has been known as the most prevalent species among five Colletotrichum spp. involved as anthracnose causing agents. Recently, however, the change of major species with pepper anthracnose has been proposed. Identification study was peformed on 12 test isolates collected from anthracnose disease symptoms on pepper during 2001-2002 and 25 reference isolates obtained from several other host plants. The identification of the isolates with morphological observation and IfS region sequence comparison resulted that 11 ones from 12 test isolates colleted from pepper anthracnose during 2001-2002 were identified as C. acutatum. PCR using species-specific primers designed from ITS region sequence suggested a rapid diagnosis method in identifying C. acutatum from C. gloeosporioides.

• The Journal of Korean Medicine
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• v.21 no.3
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• pp.51-56
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• 2000

To assess the relationship between the severity of stenosis in MCA territory and the differentiation of syndromes in oriental medical aspects, the general characteristics, the scores of stroke-pattern identification, and the findings of MRA were compared in 18 acute cerebral infarction patientshospitalized in Dept. of Internal Medicine, Pundang CHA Oriental Medicine Hospital from 1998 sep. 1 to 1999 sep. 31. We compared the scores of stroke-pattern identification with the severity of stenosis by Kruskall-Wallis test, and analyzed the relationship by Pearson correlation test. The P value under 0.05 was regarded as significant. The results are as follows: The incidence of stenosis(mild to complete occlusion) was 83.3%. There were significant difference of the mean scores according to the severity of stenosis in Yin deficiency pattern. We could also observe a strong relationship between the severity of stenosis and Yin deficiency pattern, whose Pearson correlation coefficient was 0.655 (P<0.05). These results showed that Yin deficiency pattern could be a major cause of cerebral infarction.

• Journal of international Conference on Electrical Machines and Systems
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• v.1 no.2
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• pp.3-9
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• 2012

The paper describes a novel technique for on line parameter identification of three-phase induction motors from a single, run up to speed test. Data is sampled during this test with the normal locked rotor and synchronous speed data captured on the way to reaching the motor's rated speed. Rotor parameter variations with frequency due to skin and proximity effects and other non-linear imperfections such as heating and main flux path saturation are taken into account. This method is ideal for determining and/or verifying parameters used in high performance drives.

• 한국기계연구소 소보
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• s.10
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• pp.35-48
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• 1983

When the hydrodynamic coefficients of the ship maneuvering equation are estimated by captive model test, it is difficult to take account of the scale effect between model and full scale ship. This scale effect problem can be overcome by processing the sea trial data with system identification. Extended Kalman filter is used as a system identification technique for the modification of the simulation equation as well as the estimation of hydrodynamic coefficients. The phenomena of simultaneous drifting of linear coefficients occur. It is confirmed that two coefficients in each pair-($Y_v$', $Y_r$' -m' u'), ($N_v$', $N_r$' )-are simultaneously drifting and all 4 coefficients are simultaneously drifting together. Particularly simultaneous drifting of 2 coefficients in each pair is more significant. It is also shown that the simultaneous drifting of 4 coefficients can be reduced by choosing the input data which have the random v'/r' curve and 4 coefficients are estimated within 2-4% error, which may be noise level. So, it is recommended to operate the rudder randomly in sea trial or model test for the application of system identification technique.

• The Transactions of the Korean Institute of Electrical Engineers B
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• v.50 no.4
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• pp.151-157
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• 2001

This paper presents an identification method of parameters of induction motor which is driven by PWM voltage inverter. The method uses least square estimation based on the step voltage input and current response. Utilizing the fact that ratio of two characteristic roots is large in the induction motor circuit, we derived two 1st-order difference equations for direct computation of parameter values. experimental results are compared with conventional motor test results to demonstrate that the proposed method is capable of estimating parameters of induction motor at standstill.

• Smart Structures and Systems
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• v.4 no.4
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• pp.465-492
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• 2008

Proper pretest planning is a vital component of any successful vibration test on engineering structures. The most important issue in dynamic testing of many engineering structures is arriving at the number and optimal placement of sensors. The sensors must be placed on the structure in such a way that all the important dynamic behaviour of a structural system is captured during the course of the test with sufficient accuracy so that the information can be effectively utilised for structural parameter identification or health monitoring. Several optimal sensor placement (OSP) techniques are proposed in the literature and each of these methods have been evaluated with respect to a specific problem encountered in various engineering disciplines like aerospace, civil, mechanical engineering, etc. In the present work, we propose to perform a detailed characteristic evaluation of some selective popular OSP techniques with respect to their application to practical civil engineering problems. Numerical experiments carried out in the paper on various practical civil engineering structures indicate that effective independence (EFI) method is more consistent when compared to all other sensor placement techniques.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2003.11a
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• pp.72-77
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• 2003

In this paper, an experimental verification of system identification technique for constructing finite element model is conducted for a three-story test structure equipped with an active mass driver (AMD). Twenty Gaussian white noises were used as the input for AMD, and the corresponding accelerations of each floors are measured. Then, the complex frequency response function (FRF) for the input, the force induced by the AMD, was obtained and subsequently, the Markov parameters and system matrices were estimated. The magnitudes as well as phase of experimentally obtained FRFs match well with those of analytically obtained FRFs.

• Journal of Microbiology
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• v.35 no.1
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• pp.10-14
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• 1997

The database of metabolic fingerprints generated using the GIolog system of lactic acid bacteria isolated from kimchi, described by Lee et al. (8), was used for the identification of 75 Leuconostoc isolates. The test strains were isoalted using a selective isolation medium specific for the genus Leuconostoc and examined for their ability to oxidize carbon sources using the Biolog system. The results show that the 75 test strains were identified to the known Leuconostoce clusters. It is suggested that the Biolog system can be applied for rapid identification of lactic acid bacteria isolated from kimchi.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.32 no.10
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• pp.367-375
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• 1983

An extended Kalman filter (EKF) algorithm for estimating aerodynamic parameters from missile flight data is evaluated using simulated test data. The algorithm includes a general purpose 6-DOF missile airframe suitable for representing a variety of missile configurations. The EKF is demonstrated to be well suited as a postflight analysis tool for extracting large numbers of airframe parameters from flight test measurements. A structure identification algorithm is evaluated using synthetic measurement data. This algorithm used in conjunction with the parameter identification algorithm, can select that model from a family of candidate models which most likely produced the synthetic measurement data.

• Journal of Korean Academy of Nursing
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• v.43 no.5
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• pp.649-657
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• 2013

Purpose: The purpose of this study was to examine effects of enneagram group counseling program on self-identification and depression in nursing college students. Three groups, categorized by how the students solve their conflicts, were selected to identify changes from the program. Methods: A quasi-experimental study with a non-equivalent control group and pre posttest design was used. Participants were assigned to the experimental group (n=30) or control group (n=33). The experimental group participated in enneagram group counseling program for 38 hours through eight sessions covering four different topics. Collected data were analyzed using Chi-square test, Fisher's exact test, t-test, and Wilcoxon signed rank test. Results: Total self-identity score for the experimental group was significantly higher than the control group. However, there was no significant difference between the two groups for depression scores. The Assertive and Compliant groups demonstrated significant change in self-identification while the Withdrawn groups did not reveal any change. Conclusion: Results indicate that the enneagram group counseling program is very effective in establishing positive self-identification for nursing college students who face developmental crisis and stressful situations. It is also expected that this program would be useful to enhance the students' confidence through a deeper understanding and acceptance of themselves.