• Natural Product Sciences
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• v.22 no.3
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• pp.162-167
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• 2016

Peucedani Radix is the root of Angelica decursiva Franchet et Savatier (=Peucedanum decursivum Maximowicz) or Peucedanum praeruptorum Dunn in several Asian countries. The coumarins contained in Peucedani Radix were quantitatively analyzed using HPLC-DAD to develop a simultaneous determination for the quality control of A. decursiva and P. praeruptorum. For quantitative analysis, four major coumarins contained in these medicinal plants were assessed. Nodakenin (1), nodakenetin (2), praeruptorin A (3), and praeruptorin B (4) were separated with a Phenomenex Luna C18 column ($5{\mu}m$, $4.6{\times}250mm$) under the gradient conditions using distilled water with 0.1% phosphoric acid and acetonitrile with 0.1% phosphoric acid as the mobile phase, at a flow rate of 1.0 ml/min and a detection wavelength of 330 nm. This method was fully validated for linearity, accuracy, precision, recovery, and limit of detection and quantification. As a result, A. decursiva and P. praeruptorum were clearly classified by the quantification of four major coumarins in extracts. Also, the pattern recognition analysis based on HPLC indicates that all of the samples were largely clustered into two groups. Therefore, it is possible to distinguish between A. decursiva and P. praeruptorum and contribute to quality control.

• Water Engineering Research
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• v.1 no.4
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• pp.299-307
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• 2000

The method for estimating the minimum instream flows required for the riverline aesthetics, proposed by the Kim et al.(1996), has been applied to the main channel reach of the Keum river basin in Korea. To determine the minimum instream flows for eight main reaches at Keum river basin, six representative stations have been selected. This paper provides an analysis of influence on the riverline aesthetics, which is affected by change of physical components of river, by using the survey-based quantification method. The developed questionnaire based on the literature, and submitted to the 326 people who visited an each representative station. This surveying had been implemented in three times at each representative station and we had been selected a different flowrate at each implementation. The results of this analysis and survey have produced the relationship between the variation of physical components and riverline aesthetics. Survey results bout the flow comparison are summarized as follows. At the view of riverline aesthetics, most of the respondents re sensitive at the change of the flow velocity and they prefer high water level to low water level. Moreover whole respondents prefer to abundant stream flows and moderate flow velocity. The minimum flows for riverline aesthetics is estimated at each representative station by using the survey-based quantification method and the estimated results of some representative station are greater than mean monthly flow at each station. The result of the analysis appears that establishing minimum instream flows for riverline aesthetics is not only a technical problem but a legal problem. Therefore in the case of establishing the instream flows in the river, the estimated results have to be considered as relative standard.

• Spatial Information Research
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• v.20 no.3
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• pp.57-66
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• 2012

Gangwon-do has been suffering extensive landslide dam age, because its geography consists mainly of mountains. Analyzing the related factors is crucial for landslide prediction. We digitized the landslide and non-landslide spots on an aerial photo obtained right after a disaster in Inje, Gangwon-do. Three landslide factors-topographic, forest type, and soil factors-w ere statistically analyzed through GIS overlap analysis between topographic map, forest type map, and soil map. The analysis showed that landslides occurred mainly between the inclination of $20^{\circ}$ and $35^{\circ}$, and needleleaf tree area is more vulnerable to a landslide. About soil properties, an area with shallow effective soil depth and parent material of acidic rock has a greater chance of landslide.

• Analytical Science and Technology
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• v.36 no.6
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• pp.315-323
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• 2023

This study is to quantify α-quartz, cristobalite and kaolinite using by FTIR in respirable dust generated in the mining workplace. Various minerals in mines can interfere with peaks when quantifying respirable crystalline silica by FTIR. Therefore, for accurate quantification, it is necessary to remove interfering substances or correct the peaks that cause interference. To confirm the peaks occurring in α-quartz, cristobalite and kaolinite, each standard material was diluted with KBr and scanned in the range of 400 cm^-1 to 4000 cm^-1 using by FTIR. As a result of scanning the analytes, it was decided to use the peaks of 797.66 cm^-1 and 695.25 cm^-1 for α-quartz, 621.58 cm^-1 for cristobalite, and 3696.47 cm^-1 for kaolinite. When the above materials are mixed, interference occurs at the peak for quantification, which is corrected by the calculation formula. The analysis of the mixture of α-quartz and cristobalite shows the average bias (%) of 2.64 (corrected) at α-quartz (797.66 cm^-1), 5.61 (uncorrected) at α-quartz (695.25 cm^-1) and 1.51 (uncorrected) at cristobalite (621.58 cm^-1). The analysis of the mixture of α-quartz and kaolinite shows the average bias(%) of 1.79(corrected) at α-quartz (797.66 cm^-1), 3.92 (corrected) at α-quartz (695.25 cm^-1) and 2.58 (uncorrected) at kaolinite (3696.47 cm^-1). The analysis of the mixture of cristobalite and kaolinite shows the average bias (%) of 2.15 (corrected) at cristobalite (621.58 cm^-1), 4.32 (uncorrected) at kaolinite (3696.47 cm^-1). The analysis of the mixture of αquartz and cristobalite and kaolinite shows the average bias (%) of 1.93(corrected) at α-quartz (797.66 cm^-1), 6.47 (corrected) at α-quartz (695.25 cm^-1) and 1.77 (corrected) at cristobalite (621.58 cm^-1) and 2.61 (uncorrected) at kaolinite (3696.47 cm^-1). The experimental results showed that the deviation caused by peak interference by two or three substances could be corrected to less than 6 % of the average deviation. This study showed the possibility of correcting and quantifying when various interfering substances that are difficult to remove are mixed.

• Journal of the Korean Statistical Society
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• v.28 no.3
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• pp.347-358
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• 1999

Correspondence analysis is an exploratory method for two-way contingency tables intended to display the association pattern between row and column categories. It has been developed for several decades mainly in France and Japan and, nowadays, is popular worldwide. For the special case, however, that the column consists of ordered categories, correspondence analysis may yield ackward result so that it cannot be fully accommodated. That's because the row and column categories are assumed to be nominal in the ordinary correspondence analysis. The aim of this study is to develop the correspondence analysis for two-way contingency tables with ordered column categories. It is based on two specific algorithms,

• Journal of Korean Institute of Industrial Engineers
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• v.6 no.2
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• pp.1-11
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• 1980

The purpose of this study is to attempt a systems approach to press injuries using Fault Tree Analysis. Three major techniques were used: Industrial Accident Dynamics (IAD) by which accident analysis can be made, Fault Tree Analysis (FTA) by which quantification of accident analysis can be made, Computerized Algorithm by which minimal cut set to accident can be identified. A survey has been made of ninety two cases of press injuries from seven industrial firms. All cases of the accident are analyzed using the three techniques. According to the analysis, lack of safety knowledge and improper scaffold seem to be the primal cause of accident. Comparisons of the accident causes to actual accident reports (National Institute of Labor Science) demonstrates that the FTA is a powerful tool for industrial accident prevention. On the basis of this result, some countermeasures are discussed.

• Genomics & Informatics
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• v.17 no.1
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• pp.6.1-6.9
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• 2019

Understanding the role of the microbiome in human health and how it can be modulated is becoming increasingly relevant for preventive medicine and for the medical management of chronic diseases. The development of high-throughput sequencing technologies has boosted microbiome research through the study of microbial genomes and allowing a more precise quantification of microbiome abundances and function. Microbiome data analysis is challenging because it involves high-dimensional structured multivariate sparse data and because of its compositional nature. In this review we outline some of the procedures that are most commonly used for microbiome analysis and that are implemented in R packages. We place particular emphasis on the compositional structure of microbiome data. We describe the principles of compositional data analysis and distinguish between standard methods and those that fit into compositional data analysis.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2000.06a
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• pp.270-275
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• 2000

본 연구는 다변량 통계분석을 이용하여 자동차사고성향에 대한 공통적인 특성을 찾아내고 그것이 심리적 성격특성과 관련이 있는가를 분석하고자 수행되었다. 이를 위하여 학생집단, 일반인집단 그리고 운전기사집단의 성격적 특성과 자동차사고경험 혹은 그 가능성을 비교 검토하였다. KG식 일반생활질문지에 의한 설문분석결과에 따르면 사고친화성향에 따라 2개의 집단으로 분류하는 것이 타당하다고 판단되었고, 수량화분석에 의해서도 집단을 구분할수 있었지만 일반인과 운전자 집단간에는 차이가 있었다.

• The Korean Journal of Applied Statistics
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• v.12 no.1
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• pp.165-173
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• 1999

사회과학분야에서 인자분석을 실시하는 경우 제1인자의 사전정의는 연구대상분야에서의 확립된 지식 또는 전제에 의해 나온다. 예컨대 고등학교 학생들을 대상으로 국어, 영어, 수학, 사회, 과학 등의 과목성적을 측정하여 인자분석을 하는 경우 사전적으로 제 1인자를 이 과목들의 단순평균에 의해 생성되는 일반지능으로 정의하는 것이 자연스럽다. 즉 다양한 사회과학분야에서 인지분석을 행함에 있어 선행 연구나 연구자의 사전지식 또는 가설 등에 의해 제1인자를 전제하는 경우 후속되는 나머지 인자를 자료에서 찾아냄으로써 인자분석을 완성하고자 하는 것이 본 연구의 기본 내용이다.

• Genomics & Informatics
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• v.13 no.4
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• pp.119-125
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• 2015

RNA is a polymeric molecule implicated in various biological processes, such as the coding, decoding, regulation, and expression of genes. Numerous studies have examined RNA features using whole transcriptome sequencing (RNA-seq) approaches. RNA-seq is a powerful technique for characterizing and quantifying the transcriptome and accelerates the development of bioinformatics software. In this review, we introduce routine RNA-seq workflow together with related software, focusing particularly on transcriptome reconstruction and expression quantification.