• Journal of Preventive Medicine and Public Health
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• v.30 no.2 s.57
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• pp.428-436
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• 1997

Objectives : The purpose of this paper is to estimate the completeness of the Korean Medical Insurance Data in childhood asthma. Methods : Capture-recapture method was used to estimate the prevalence of childhood asthma and case ascertainment rate(completeness) of Korean Medical Insurance Data using two source model, 'Korean Medical Insurance Committee Data (KMICD)' and 'Nationwide Study of Asthma and Allergies in Korean Children'. The asthma cases were restricted to those who were born from 1981 to 1989 and were identified by their Resident Register Number. Asthma cases in Korean Medical Insurance Data were defined as cases coded by ICD-9 493 and ICD-10 J45. In 'Nationwide Study of Asthma and Allergies in Korean Children', asthma cases were defined as the children who had been diagnosed asthma and had experienced symptoms of asthma during the past 12 months. The defined cases in two data sources were matched by 13 digits Resident Register Number. The numbers of matched patients in two data sources were 245 of 32,825 eligible total subjects. Chapman and Wittes' nearly unbiased estimation was used for capture-recapture analysis of two data sources. Results : Observed prevalence rate of childhood asthma was 5.3% and estimated prevalence rate by capture-recapture analysis was 11.6%. The highest prevalence rate was observed in 6-7 age group and the older the rate decreased. The completeness (the proportion of cases ascertained by KMICD to the total observed cases by two data sources) was 20.6%, and ranged form 10.8% to 28.8% by area. Conclusions : Invalid diagnosis of cases might overestimate the prevalence of child-hood asthma and might underestimate the completeness of Korean Medical Insurance Committee Data in this study.

• The Research Journal of the Costume Culture
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• v.7 no.6
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• pp.54-67
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• 1999

The purpose of this study were (1) to segment the female college students according to apparel shopping orientation and (2) to create a profile for each group with regard to impotance of store attributes, use of information sources, and self-image. The questionnaire were administered to the female college students living in Seoul and data were analyzed by frequency, percentage, factor analysis, cluster analysis, one-way ANOVA(analysis of variance), and MANOVA(multivariate analysis of variance). By cluster analysis of apparel shopping orientation factors, four groups are identified : (1) highly involved apparel shopper (44.34%), (2) brand-loyal shopper (24.43%), (3) planned / practical shopper, and (4) apathetic shopper (18.10%) Four groups were then compared through MANOVA on importance of store attributes, use of information, and self-image. Significant differences were found among four groups on three variables. In general. highly involved shopper tend not to be price conscious, enjoy shopping and use the information sources most actively and apathetic shoppers tend to be indifferent to apparel shopping and do not actively use the information sources.

• The Research Journal of the Costume Culture
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• v.3 no.2
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• pp.393-408
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• 1995

The purpose of this study was to segment the female college apparel market based on fashion lifestyle and to develop a profile of each segment regard to fashion information sources, clothing benefits sought, and store selection criteria. The data were collected through questionnaire by random sample of 522 female college students. By cluster analysis of lifestyle factors, three groups were identified. (fashion leaders, fashion followers and fashion aversion), Three groups were then compared through multivariate analysis of variance on 11 fashion sources, 10 clothing benefits sought and 90 store selective criteria. Significant difference were found among the three groups on all these variables which indicate that fashion lifestyle can be a useful base for segmenting female apparel market and these groups are unique in terms of fashion information sources, clothing benefits sought and store selective criterias.

• The Research Journal of the Costume Culture
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• v.6 no.4
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• pp.136-148
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• 1998

A apparel retail buyer played an important role in the market by providing apparel products for consumers and acting as an specialist who selected the vendor and decided the apparel product assortment. The purpose of this study was to investigate the relationships among the vendor selection criteria and information sources used by retailers and the satisfaction with store performance. A questionnaire was developed based on the previous studies and pretest. Data were collected from 237 retailers for women's apparel living in Pusan. Results indicated that they didn't significantly relate among the vendor selection criteria, information sources and the satisfaction with store performance except the harmony of buying products and existing products. Only the age and the buying experience showed significance in relation to demographics of apparel retailers among the vendor selection criteria, information sources and the satisfaction with store performance. The information source affected the vendor selection criteria was the street fashion, the apparel of entertainers, the other apparel buyer, and the owner of production. The findings had implications for retailers as well as for researchers.

• The Korean Journal of Mycology
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• v.29 no.1
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• pp.52-60
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• 2001

This study was carried out to obtain the basic data on artificial culture of Hohenbuehelia petaloides. The optimum medium are glucose peptone medium (GP), Hennerberg medium, Phellinus igniarius medium (PIM), Lentinus edodes medium (LEM), Czapek dox medium. The optimum condition for the mycelial growth was $30^{\circ}C$ and pH 6.0. The carbon sources such as dextrine, fructose and lactose were favorable to mycelial growth. The optimal concentrations of carbon sources are 10% dextrin and fructose. As nitrogen sources, tryptone, casamino acid and histidine appeared to be favorable. The optimal concentrations of nitrogen sources are 1% soy tone and 0.3% ammonium nitrate. The optimal concentration of yeast extract is 0.4%. The mineral nutrients of $KH_2PO_4$, $K_2HPO_4\;and\;MgSO_4{\cdot}7H_2O$ were effective and the optimal concentrations were 0.046, 0.1 and 0.05%, respectively.

• Journal of Nutrition and Health
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• v.30 no.1
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• pp.91-99
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• 1997

We have studied the major food sources of minerals and vitamin based on the data from the National Nutrition Survey in 1993. The most important food sources was anchovy for calcium, spinach for vitamin A, and kimchi for vitamin C. The primary source of iron, thiamin, riboflavin and niacin was rice. Number of foods providing 90% of individual nutrient intake were 54 items for calcium, 40 items for iron, 20 items for vitamin A, 25 items for thiamin, 29 items for riboflavin, 39 items for niacin and 18 items for vitamin C. Among regions, amount of nutrients from same foods(10 more important food source) didn't show any significant differences (p>0.05) in minerals and vitamins studied. Over all rice was found to be the most important sources of minerals and vitamins.

• Journal of Korean Society for Atmospheric Environment
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• v.16 no.4
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• pp.317-326
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• 2000

Carbonyl compounds have been measured in downtown Seoul for September 1998 using 2-series impinger method. Average concentration (ppbv) of carbonyl compounds were 12.66$\pm$5.77 HCHO, 12.05$\pm$4.86 CH3CHO and 7.92$\pm$2.63 CH3CHCH3 These compounds were the most abundant carbonyl,. They showed maximum concentration during the daytime when photochemical activity was very strong minimum concentration were usually showed during the night and early morning. Comparison of diurnal variation of carbonyl compounds with the concentration of O3, NMHC, CO and meteorological data indicated that primary and secondary sources contributed the observed carbonyl compounds. Photochemical Formation Rate(PFR) of carbonyl compounds dur-ing the sampling periods were 61% HCHO, 85% CH3CHO, 85% CH3CHO, 71% CH3COCH3.

• Bulletin of the Korean Space Science Society
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• 2003.10a
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• pp.27-27
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• 2003

The Automated Quantitative Knife-Edge Test (AQuaKET) method was developed for testing the surface profiles of large optics with high accuracy. Testing with the required accuracy of very large telescope is not an easy job to achieve, as it is a nano-technology. There are lots of possible error sources which can occur during the measurements and in the data processing of the AQuaKET. The error sources can be categorized into 5 areas: optics, mechanics, electronics, numerical processes, and system. In this paper, possible error sources in Optics are discussed, which are intensity variation of the light source, diffraction effects, and parallax effect. In this talk, those possible error sources in optics are presented and discussed.

• Journal of the Ergonomics Society of Korea
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• v.34 no.3
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• pp.265-278
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• 2015

Objective:To study the sources of indoor noise, its effects on human health, noise assessment and regulation through the use of standards, and techniques used to reduce noise. Background: Noise significantly affects the living environment, and there are an increasing number of reports of its impacts on human health. Method: We reviewed domestic and foreign data regarding environmental noise, and examined its effects and the standards used to regulate noise levels. Results: We describe the major sources of indoor noise and suggest possible legal standards, as well as recommended criteria for the control of noise. Conclusion: South Korea has higher legal standards of environmental noise than international standards in terms of threshold values. People in Korea are exposed to various sources of noise, and therefore the reduction of noise is urgently required. Application: Depending on the features of indoor spaces, an appropriate degree of indoor noise can be determined and techniques to reduce excess noise are required.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.17 no.8
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• pp.898-903
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• 2004

In this paper, neural networks is studied to apply as a PD source classification in XLPE power cable specimen. For treeing discharge sources in the specimen, three defected models are made. And these data making use of a computer-aided discharge analyser, statistical and other discharge parameters is calculated to discrimination between different models of discharge sources. And also these parameter is applied to classify PD sources by neural networks. Neural Networks has good recognition rate for three PD sources.