• Korean Journal of Veterinary Research
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• v.39 no.4
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• pp.811-818
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• 1999

A total of 16 Staphylococcus epidermidis isolates collected from 14 dogs admitted to the Veterinary Medicial Teaching Hospital in Seoul National University over eleven months were examined for in vitro antibiotic susceptibility pattern with minimum inhibitory concentration (MIC) and slime production, a virulence-associated phenotype, and were genetically characterized by pulsed-field gel electrophoresis (PFGE). The frequency of resistance to antimicrobial agents tested was not high, with a susceptibility ranging from 56.3% to 100%. Three strains exhibited multiple drug resistance against amikacin (MIC, $32-64{\mu}g/ml$), ampicillin ($32{\mu}g/ml$), fosfomycin ($32-128{\mu}g/ml$) and gentamicin ($16{\mu}g/ml$). Vancomycin, ciprofloxacin and rifampin were effective antibiotics against the isolates. All isolates were slime producers ; strains isolated from dogs which died of bacteremia were more likely to produce slime than those isolated from dogs which survived. Chromosomal DNA fingerprinting of the isolates yielded 16 different genomic types with few common bands, indicating a variety of clones of S epidermidis were prevalent in the hospital. This study revealed that PFGE is an useful method for the genotype characterization of S epidermidis strains and this organism could probably be pathogenic in some dogs with severe disorders. Further works on a larger number of epidemiologically defined strains are required to assess these results.

• The Korean Journal of Applied Statistics
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• v.15 no.1
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• pp.85-105
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• 2002

To explore the relationships among frequencies for sets of alleles, within or between loci, is one of the first analyses in population genetic study. The general question is whether the frequency of a set of alleles is the same as the product of each of the separate allele frequencies. For two alleles of a single locus, Hardy-Weinberg equilibrium is tested and for an allele from each of two loci, linkage disequilibrium is tested. However, it is more useful if we can quantify and graphically represent this information. In this study, we suggest graphical methods to find associations between alleles. We also analyze the STR data of Korean population as an illustration.

• The Journal of Korean Medicine
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• v.20 no.4
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• pp.11-15
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• 2000

Radix Angelicae Gigantis is sweet and pungent in flavor, warm in property. Its effects are tonifying the blood, promoting blood circulation, relieving pain and moistening the bowels. Its indications are blood deficiency syndrome characterized by sallow complexion, dizziness, irregular menstruation, amenorrhea, pains due to blood stasis, and rheumatic arthralgia. Using genes of A. gigas, A. acutiloba, and A. sinensis, the origin of which is identified, as criteria, we analysed many kinds of Angelica with RAPD and RFLP on ITS region, in order to compare and discriminate genes extracted from crude drugs ‘Dang-gui’, that are produced in Korea on the one hand and imported on the other hand. We reached the following conclusion. 1. We could extract DNA from both original plant and dried plant. 2. Especially Uniprimer #1, Uniprimer #2, Uniprimer #4 and Uniprimer ＃9 were useful. 3. Among the restriction enzymes Sma I, Msp I, Hae III, and Hinf I, used in this experiment, four restriction enzymes except Hinf I could be used properly in discriminating all samples used as A. gigas. We think that this result can be used as a method of discriminating crude drug of Angelica L. related drugs, and used in controlling quality and circulation.

• Archives of Pharmacal Research
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• v.28 no.7
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• pp.854-858
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• 2005

A Lactobacillus isolate was collected from the feces of a healthy Korean individual and named as Lactobacillus ruminus SPM0211. It was further characterized by subjecting it to an antibiotic resistance test and genetic analysis. In the antibiotic resistance test, all tested Lactobacillus spp. were classified as 'high resistance' for multiple antibiotics, such as isoniazid, ethambutol, cycloserine, and vancomycin. L. ruminus SPM0211 was classified as 'high resistance' for streptomycin also, while the other tested Lactobacillus spp. were classified as low resistance. This suggests that the antimicrobial spectra may be a good indicator in the discrimination of this strain among the tested Lactobacillus spp. In a polymerase chain reaction-random amplified polymorphic DNA (PCR-RAPD) analysis using the Microbial Uniprimer kit, L. ruminus SPM0211, and L. suebicus were clustered as a group with a 74.3% similarity level, suggesting that these two species are genetically related. Thus, our data suggest that the PCR-RADP method using the Microbial Uniprimer kit may be valuable in discriminating L. ruminus SPM0211 from other Lactobacillus spp.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.586-589
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• 2012

표절과 관련된 이슈가 주목받고 있는 상황에서 표절을 검출하는 방법에 대한 연구가 활발히 진행되고 있다. 일반적으로 표절구간 검출을 위해 복잡한 자연어처리와 같은 의미론적 접근방법이 아닌 비교적 단순한 어휘기반의 문자열 처리 방법을 사용한다. 대표적인 방법으로는 지문법 (Fingerprinting)과 서열정렬 (Sequence alignment) 등이 있다. 하지만 이 방법들을 이용하여 대용량 문서에 대한 표절검사를 수행하기에는 시공간적 복잡도의 문제가 발생한다. 본 논문에서는 이러한 단점을 극복하기 위해 NGS (Next Generation Sequencing)에서 사용하는 BWT (Burrows-Wheeler Transform)[1]를 이용한 탐색방법을 응용한다. 또한 부분표절구간을 검출하고 정확도를 향상시키기 위해 질의문서를 분할하여 작은 조각으로 만든 뒤, 조각들에 대한 질의탐색을 수행한다. 본 논문에서는 질의문서를 분할하는 두 가지 방법을 소개한다. 두 가지 방법은 k-mer analysis를 이용한 방법과 random-split analysis를 이용한 방법으로, 각 방법의 장단점을 실험을 통해 분석하고 실제 부분표절구간의 검출 정확도를 측정하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.319-322
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• 2019

There are many techniques for locating users in an indoor spot. Among them, WiFi fingerprinting technique which is widely used is phased into a data collection step and a positioning step. In the data collection step, all surrounding Wi-Fi signals are collected and managed as a list. The more data collected, the better the accuracy of the indoor position based on Wi-Fi fingerprint. Existing high-quality data collection and management methods are time consuming and costly, and many operations are required to extract and generate data necessary for machine learning. Therefore, we research how to collect and manage large amount of data in limited resources. This paper presents efficient data collection methods and data generation for learning.

• The Journal of the Acoustical Society of Korea
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• v.27 no.5
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• pp.239-243
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• 2008

This paper proposes a new audio identification method based on a combination of the instantaneous and dynamic spectral features of the audio spectrum. Especially we propose the spectro-temporal subband centroids that are easy to compute and effective to summarize the instantaneous and dynamic spectral variations. Experimental results demonstrate that the identification performance can be greatly improved by combining both the spectral and the temporal subband centroids.

• Journal of Positioning, Navigation, and Timing
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• v.13 no.3
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• pp.289-299
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• 2024

In the Pedestrian Dead Reckoning (PDR)/Global Positioning System (GPS)/Wi-Fi-integrated navigation system for indoor/outdoor continuous positioning of pedestrians, the process of detecting outliers in measurements is very important. When accurate location information from measurements is used, reliable correction data can be generated during the fusion filtering process. However, abnormal measurements may occur in certain situations, such as indoor/outdoor transitions, which can degrade filter performance and lead to significant errors in the estimated position. To address this issue, this paper proposes a method for detecting outliers in measurements based on Rényi Divergence (RD). When the deviation of the RD value is large, the measurements are considered outliers, and positioning is performed using only pure PDR. Based on experiments conducted with real data, it was confirmed that outliers were effectively detected for abnormal measurements, leading to an improvement in the performance of pedestrian navigation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.11
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• pp.2463-2470
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• 2010

In some cases of u-health services, it is important and then required to pursue the location of users in real time because users could occasionally be in the situation beyond self-regulation. Location positioning has used two such typical techniques as trilateration and fingerprinting. A trilateration technique is usually based on three resident coordinates to identify the location of the target node. Ranging that measures distances between coordinates and the node is essential for applying the trilateration technique. Users especially in u-health services could be out of reachability in any such reasons as out of propagation ranges, fault of a communication counterpart, non-existence of possible communication facility, etc. This paper proposes a real-time locating method which can improve to identify and track the location of mobile objects. The method is based on references of identified mobile nodes as well as resident coordinates even though they may be partially out of communication reachability.

• Analytical Science and Technology
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• v.29 no.3
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• pp.142-153
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• 2016

In crime scene investigation, fingerprint identification is regarded to be one of the most important techniques for personal identification. However, objective and unbiased evaluation methods that would compare the fingerprints with diverse available and developing methods are currently lacking. To develop an objective and quantitative method to improve fingerprint evaluation, a preliminary study was performed to extract useful research information from the analysis with densitometric image analysis (CP Atlas 2.0) and the Automated Fingerprint Identification System (AFIS) for the developed fingerprints on porous surfaces. First, inked fingerprints obtained by varying pressure (kg.f) and pressing time (sec.) to find optimal conditions for obtaining fingerprint samples were analyzed, because they could provide fingerprints of a relatively uniform quality. The extracted number of minutiae from the analysis with AFIS was compared with the calculated areas of friction ridge peaks from the image analysis. Inked fingerprints with a pressing pressure of 1.0 kg.f for 5 seconds provided the most visually clear fingerprints, the highest number of minutiae points, and the largest average area of the peaks of the friction ridge. In addition, the images of the developed latent fingerprints on thermal paper with the iodine fuming method were analyzed. Fingerprinting condition of 1.0 kg.f/5 sec was also found to be optimal when generating highest minutiae number and the largest average area of peaks of ridges. Additionally, when the concentration of ninhydrin solution (0.5 % vs. 5 %) was used to compare the developed latent fingerprints on print paper, the best fingerprinting condition was 2.0 kg.f/5 sec and 5 % of ninhydrin concentration. It was confirmed that the larger the average area of the peaks generated by the image analysis, the higher the number of minutiae points was found. With additional tests for fingerprint evaluation using the densitometric image analysis, this method can prove to be a new quantitative and objective assessment method for fingerprint development.