• 한국생물공학회:학술대회논문집
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• 2003.04a
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• pp.228-232
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• 2003

Lovastatin produced by Aspergillus terreus via polyketide pathway is a secondary metabolite with high anti-hypercholesterolemic activity. In this paper we are going to present effective strain development strategies for lovastatin production by comparing the productivity of the mutants obtained through traditional rational screening process and protoplast fusion method. Mutants resistant against various antibiotics and/or antimetabolites showed significantly higher lovastatin productivity than the corresponding mother strains, demonstrating that rational screening method was very efficient in selecting high yielding producers. Recombinant fusants obtained using protoplast fusion between high producers were observed to have very different morphology and physiology as represented by the production and secretion of lovastatin, as well as cell growth pattern. In parallel with the strain development, optimization process for the production medium was carried out in order to find optimal concentrations of the medium components using such a powerful statistical method as response surface method (RSM). It was concluded that not only the optimum production medium but also good morphological characteristics of the high-yielding producers led to higher lovastatin production.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.1
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• pp.82-92
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• 1997

The purpose of this study is to segment an infant's wear market on the base of housewife's fashion life-style for satisfaction of varied needs and high efficiency of marketing activity. This study was used 183 questionnaires (20∼30 generation housewife in Seoul) for statistical analysis. This study was used factor analysis and cluster analysis to group same respondents and frequency analysis, x2_analysis, ANOVA, duncan-test to analyze characteristics of demographics, clothing purchase pattern for each segmented group. The respondents were divided into 4 groups of differnt housewife's fashion life-style matte tons according to the results of analysis. The findings of the research on each groups are summarized as follows: 1) Subdividing market was classified such as a fashion-seeking/shoping-oriented group, personality-seeking group, practical/planning group, traditional conservative group. 2) According to characteristics of demographics in Subdividing market, there were significant difference in their school career, family monthly income, existence of job. 3) According to clothing purchase pattern in Subdividing market, there were significant difference in housewife's fashion life-style. But there were only partly significant difference in characteristics of demographics. In this study, housewife's fashion life-style segmentation in infant's wear market has purpose that marketing managers are given these infornations and various wants of consumers can be satisfied.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.2
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• pp.285-308
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• 2010

This study analyzes the intellectual structure in domestic research of the Housing field, by utilizing text mining technique. Unlike the existing research that mainly uses text clustering in statistical analyses to identify subject specialties, core authors, and relationships between research areas, this study applied author profiling and factor analysis. To supplement the analysis of intellectual structure generated by text mining, and to perform evaluation on intellectual structure itself, two professionals in the housing field were interviewed. The intellectual structure, generated through text mining, was evaluated and showed its division of valid research areas that is slightly different from the traditional intellectual structure in the housing field.

• The Korean Journal of Applied Statistics
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• v.19 no.3
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• pp.395-406
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• 2006

Long-term survival rates are the most commonly used outcome measures for patients with cancer. However, traditional long-term survival statistics, which are derived by cohort analysis or complete analysis, essentially reflect the survival expectations of patients diagnosed many years ago. They are often outdated at the time they become available. In this article, we propose a modified product-limit method to obtain up-to-date estimates of long-term survival rates via a period analysis. The proposed method is illustrated with cancer registry data collected from January 1993 to December 1997.

• The Korean Journal of Applied Statistics
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• v.28 no.3
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• pp.443-455
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• 2015

The Korean game of yut is a traditional games that everyone can enjoy regardless of gender or ages. Yut consists of four sticks with a Head and Tail. We are interested in the course probabilities in the game of yut that are different according to the starting order of the four pieces of yut. So we consider the probabilities of five results of yut which we toss according to the probability of Head. We calculate probabilities according to 4 courses where one piece of yut can go through in a yutpan according to the starting order of each piece of yut.

• The Korean Journal of Applied Statistics
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• v.33 no.2
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• pp.115-122
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• 2020

K-means clustering uses a spherical or elliptical metric to group data points; however, it does not work well for non-convex data such as the concentric circles. Spectral clustering, based on graph theory, is a generalized and robust technique to deal with non-standard type of data such as non-convex data. Results obtained by spectral clustering often outperform traditional clustering such as K-means. In this paper, we review spectral clustering and show important issues in spectral clustering such as determining the number of clusters K, estimation of scale parameter in the adjacency of two points, and the dimension reduction technique in clustering high-dimensional data.

• Journal of Soil and Groundwater Environment
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• v.19 no.5
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• pp.18-25
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• 2014

Traditional investigation procedures of soil and groundwater contamination are followed by soil gas sampling, soil sampling, groundwater sampling, establishment of monitoring wells, and groundwater monitoring. It often takes several weeks to obtain the analysis reports, and sometimes, it needs supplemental sampling and analysis to delineate the polluted area. Laser induced fluorescence (LIF) system is designed for the detection of free-phase petroleum pollutants, and it is suitable for on-site real-time site investigation when coupling with a direct push testing tool. Petroleum products always contain polycyclic aromatic hydrocarbon (PAH) compounds possessing fluorescence characteristics that make them detectable through LIF detection. In this study, LIF spectroscopy of 5 major fuel products was conducted to establish the databank of LIF fluorescence characteristic spectra, including gasoline, diesel, jet fuel, marine fuel and low-sulfur fuel. Multivariate statistical tools were also applied to distinguish LIF fluorescence characteristic spectra among the mixtures of selected fuel products. This study successfully demonstrated the feasibility of identifying fuel species based on LIF characteristic fluorescence spectra, also LIF seemed to be uncovered its powerful ability of tracing underground petroleum leakages.

• Proceedings of the Technology Innovation Conference
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• 1997.12a
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• pp.133-158
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• 1997

This paper analyzes the characteristics of technological knowledge flow-structure of Korean manufacturing in dynamic perspective. In doing that, the concept of the knowledge network is introduced which is defined as a set of industries and their interaction(knowledge flow) or linkage. The analysis of the inter-industrial knowledge flows is based on the technological similarity by using R&D researchers'academic background in the year of 1984, 1987, 1990. The analysis is carried out by such methodology as network analysis, indicator analysis and simple statistical analysis. And the final results are drawn both in absolute terms(dimension effect) and in relative terms (proportion effect) respectively. The main findings are as follow. First, the Korean manufacturing knowledge network appears to strengthen existing inter-industrial knowledge linkages rather than to construct new linkages. Second, the network seems to form a dualistic structure in that some high-technology sectors (knowledge production sectors) emerge along with traditional sectors (knowledge absorbing sectors). Third, since the mid-1980s, an inter-industrial fusion is witnessed among technologically intensive sectors, indicating that some sophisticated innovation modes are emerging in Korean manufacturing system.

• Journal of Technology Innovation
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• v.6 no.1
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• pp.71-98
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• 1998

This paper analyzes the characteristics of technological knowledge flow-structure of Korean manufacturing in dynamic perspective. In doing that, the concept of the knowledge network is introduced which is defined as a set of industries and their interaction(knowledge flow) or linkage. The analysis of the inter-industrial knowledge flows is based on the technological similarity by using R&D researchers' academic background in the year of 1984, 1987, 1990. The analysis is carried out by such methodology as network analysis, indicator analysis and simple statistical analysis. And the final results are drawn both in absolute terms(dimension effect) and in relative terms(proportion effect) respectively. The main findings are as follow. First, the Korean manufacturing knowledge network appears to strengthen existing inter-industrial knowledge linkages rather than to construct new linkages. Second, the network seems to form a dualistic structure in that some high-technology sectors(knowledge production sectors) emerge along with traditional sectors(knowledge absorbing sectors). Third, since the mid-1980s, an inter-industrial fusion is witnessed among technologically intensive sectors, indicating that some sophisticated innovation modes are emerging in Korean manufacturing system. And fourth, by using the relations of the inter-industrial knowledge-flows, we classified manufacturing industries into 3 type ; knowledge-outflow sector, knowledge-inflow sector and knowledge intermediary sector.

• The Journal of Korean Obstetrics and Gynecology
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• v.21 no.1
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• pp.168-178
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• 2008

Purpose: To verify the relationship of SA2000E results and acupuncture treatment efficacy on postmenopausal women. Methods: Longitudinal analyze relationship of the SA2000E results and hot flush VAS score changes of a clinical trial participants in 2006. Results: Someone who has high Vaso-aging degree by SA2000E represented better hot flash VAS decreasing efficacy. And the diminution rate of hot flash VAS, after 1week from the 1st treatment day was 0.311(p=0.0001), and finally 0.672(p = 0.0396). There are no statistical differences between study group and control group. Conclusion: Clinical trial participant who has better Vaso-physiological function present more hot flash reduce efficacy by acupuncture therapy. Vaso-aging degree by SA2000E could be use as a predictor of acupuncture hot flash treatment result.