• 한국생물공학회:학술대회논문집
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• 2002.04a
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• pp.558-561
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• 2002

In this study, a method for the localization of pregnancy-specific proteins from cow urine on 2-D gel have been established. The proteins were digested with trypsin in gel and then analyzed with MALDI- TOF or transferred to a membrane and microsequenced. To examine the pregnancy associated protein spot 2 as a diagnosis marker in bovine urine 2-D western blotting was performed. This antibody was reacted specifically in the protein of pregnant cow’s urine. Consequently spot 2 was identified and found to be good candidates for developing cow pregnancy detection assay kit.

• International Journal of Advanced Culture Technology
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• v.5 no.1
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• pp.76-82
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• 2017

An image hash, a discriminative and robust summary of an image, should be robust against quality-preserving signal processing steps, while being pairwise independent for perceptually different inputs. In order to improve the hash matching performance, this paper proposes a probabilistic dissimilarity matching. Instead of extracting the binary hash from the query image, we compute the probability that the intermediate hash vector of the query image belongs to each quantization bin, which is referred to as soft quantization binning. The probability is used as a weight in comparing the binary hash of the query with that stored in a database. A performance evaluation over sets of image distortions shows that the proposed probabilistic matching method effectively improves the hash matching performance as compared with the conventional Hamming distance.

• Communications for Statistical Applications and Methods
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• v.23 no.3
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• pp.251-258
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• 2016

It is important to verify the identity of plant-based multivitamins prepared with a natural-concept and popular for daily consumption because they are easily purchased in markets with imperfect information. For this study, a generalized partially double-index model (GPDIM) was employed as a main statistical method to identify the contribution of vitamins and phytochemicals to antioxidant potentials using data on antioxidant capacities and chemical fingerprinting. A bootstrapping approach via sufficient dimension reduction is adopted to estimate the two unknown coefficient vectors in the GPDIM. Fifth order polynomial regressions are fitted to measure the contributions of vitamins and phytochemicals after estimating the coefficient vectors with the two double indices.

• Proceedings of the Korean Society of Applied Pharmacology
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• 2007.11a
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• pp.11-15
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• 2007

Metabolomics is an emerging technology which makes it possible to evaluate change of biological system in response to the physiological, environmental alterations. It has advantages in the simplicity and sensitivity to analyze metabolites since the researcher can use cutting edge instrument, such as mass spectrometry and simple sample preparation method compared to genomics or proteomics. Nowadays this technology has been tried in pharmaceutical area to investigate toxicity and efficacy of drug candidates and drugs in preclinical test. The metabolomic applications on the pharmaceutics for early prediction on toxicity and efficacy are described in this presentation. The multivariate analysis to get metabolic fingerprinting and its relations with the physiological changes are investigated with several drugs. Feasibility of metabolomic application for pharmaceutical area would be suggested from those researches.

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2001.05a
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• pp.559-560
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• 2001

The objective of the present study was to analyze genetic variation and characteristics in rainbow trout(Oncorhynchus mykiss) using amplified fragment length polymorphism(AFLP) method as molecular genetic technique, to evaluate the usefulness of AFLP as genetic markers, and to compared the efficiency of agarose and polyacrylamide sequencing gels. The amplified products were performed by agarose and sequencing gel electrophoresis to detect AFLP band patterns, respectively. Using 9 primer combinations, total of 141 AFLP bands were produced, 108 bands(82.4％) of which were polymorphic in agarose gels. In sequencing gels, total of 288 bands were generated, and 220 bands (76.4％) were polymorphic. The level of bandsharing(BS) ranged from 0.18 to 0.32 for the 9 primer combinations tested, with a mean of 0.24. Consequently, AFLP markers of these rainbow trout could be used as genetic information such as species identification, genetic relationship or analysis of genome structure, and selection aids for genetic improvement of economically importment traits in fish species.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1205-1207
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• 2015

Fingerprinting 방식에서 KNN은 WLAN 기반 실내 측위에 가장 많이 적용되고 있지만 KNN의 성능은 k개의 이웃 수와 RP의 수에 따라 민감하다. 논문에서는 KNN 성능을 향상시키기 위해 ANN 군집화를 적용한 KNN과 ANN을 혼합한 알고리즘을 제안하였다. 제안한 알고리즘은 신호잡음비 데이터를 KNN 방법에 적용하여 k개의 RP을 선택한 후 선택된 RP의 신호잡음비를 ANN에 적용하여 k개의 RP를 군집하여 분류한다. 실험 결과에서는 위치 오차가 2m 이내에서 KNN/ANN 알고리즘이 KNN 알고리즘보다 성능이 우수하다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.576-579
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• 2012

문서유사도를 비교하는 방법은 지문법과 서열 정렬법이 널리 알려져 있다. 지문법은 계산속도가 빠른 대신 정확도가 떨어지며, 서열정렬법은 계산속도가 느린 대신 정확도가 높다. 다단계 정렬은 두 방법의 비중을 조절하여 문서 유사도를 비교할 수 있는 방법으로, 각 방법의 장점을 얻으면서 단점을 보완하도록 고안되었다[1]. 이 논문에서는 다단계 정렬방법에 대해 설명하고, 다단계정렬 방법에서 발생 가능한 단편화 문제를 제거하여 정확도를 향상시키는 방법에 대해 소개한다.

• Journal of Positioning, Navigation, and Timing
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• v.10 no.3
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• pp.207-214
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• 2021

A new positioning technique for positioning of LTE base stations is proposed. The positioning information of the base station is absolutely necessary for model-based wireless positioning, and is required in some of the various merhodologies for estimating signals in an uncorrected area when construnting a database for fingerprinting-based positioning. Using the acquired location-based Reference Signal Received Power (RSRP) information to estimate the location of the base station, it is impossible with the existing trilateration methods. Therefore, in this paper, a method using reference particles is proposed. Particles are randomly generated in the application area, and signal propagation modeling is performed assuming that a base station is located in each particle. Based on this, the errors of measurements are calculated. The particle group with the minimum measurement errors is selected, the position of the base station is estimated through weighted summation, and the signal propagation model of the corresponding base station is built at the same time. The performance of the proposed technology is verified using data acquired in Seocho-dong, Seoul.

• The Journal of Korean Society of Virology
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• v.29 no.1
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• pp.39-44
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• 1999

Warts, or verrucae, are benign epithelial proliferations of the skin and mucosa caused by infection with human papillomaviruses (HPV). It is now recognized that there are many different HPV types. Especially type3 is most frequently observed in flat wart. Other types, such as type2, 10, 14, 27, 28, 29, 38, and 41 are rarely encounted in flat wart. We describe here a simple and economic method for detection and identification of epidermodysplasia verruciformis-associated HPV. The method is based on polymerase chain reaction (PCR) amplification and restriction analysis. The method has been developed with cloned HPV DNA and DNA from clinical samples. Clinical samples are from either frozen tissue or paraffin-embedded tissue. Genomic fragments were obtained from two different HPV types (3 and 10). The amplification fragments were identified by a form of miniature fingerprinting, with a set of restriction enzymes that gave a unique digestion pattern for each HPV type. We have tested 74 clinical samples. Only type3 among these clinical samples is detected, and one sample is involved in neither type3 nor type10.

• The Journal of the Acoustical Society of Korea
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• v.38 no.6
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• pp.716-723
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• 2019

Fingerprint matching accuracy is essential in deploying a music search service. This paper deals with a method to improve fingerprint matching accuracy by utilizing an auxiliary information which is called power weight. Power weight is an expected robustness of each hash bit. While the previous power mask binarizes the expected robustness into strong and weak bits, the proposed method utilizes a real-valued function of the expected robustness as weights for fingerprint matching. As a countermeasure to the increased storage cost, we propose a compression method for the power weight which has strong temporal correlation. Experiments on the publicly-available music datasets confirmed that the proposed power weight is effective in improving fingerprint matching performance.