• Journal of Korean Institute of Industrial Engineers
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• v.25 no.1
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• pp.1-7
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• 1999

This paper considers the problem of determining the optimum target values of the quality characteristic of interest Y and the screening limits of a surrogate variable X which is correlated with Y under two-stage screening procedure. In the two-stage screening procedure, X is measured first to decide whether an item should be accepted, rejected or additional observations should be taken. If it is difficult to decide on the result of measured value of X, Y is then observed to classify the undecided items. Assuming that Y and X are jointly normally distributed, a model is constructed which involves selling and reduced prices, production, inspection, and penalty costs. Methods of finding the optimum process mean and the screening limits are presented. A numerical example and analysis of the results are also presented.

• 한국데이터정보과학회:학술대회논문집
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• 2003.10a
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• pp.239-247
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• 2003

Decision tree algorithms are used extensively for data mining in many domains such as retail target marketing, fraud dection, data reduction and variable screening, etc. CHAID(Chi-square Automatic Interaction Detector), is an exploratory method used to study the relationship between a dependent variable and a series of predictor variables. In this paper we propose and CHAID algorithm by cube-based sampling and explore CHAID algorithm in view of accuracy and speed by the number of variables.

• Health Policy and Management
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• v.19 no.1
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• pp.31-48
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• 2009

The objectives of this study were to evaluate the satisfaction of participants in the National Cancer Screening Program(NCSP) and to identify factors affecting the satisfaction. The telephone survey was conducted in July 2007 for the participants who were screened by the NCSP from January through May 2007. Student's t-tests and analysis of variance were performed first to determine if the mean satisfaction score differed by the characteristics of study objects, followed by multiple linear regression analyses to examine the factors affecting satisfaction. Dependent variable was general satisfaction for the screening service, and three dimensions of independent variables - 'sociodemographic characteristics', 'screening characteristics', and 'perceived service quality' - were used for the empirical analyses. Female, old-aged, less educated, Medicaid recipients, rural residents and the participants with normal results were more likely to be satisfied with the NCSP. The results of multiple regression analyses show that gender, age, location of residence, type of screening units, and perceived quality of screening services were significantly related to satisfaction. This study is meaningful as the first attempt to measure participant satisfaction with the NCSP, and to identify factors affecting the satisfaction. Among the identified factors, the NCSP needs to pay attention to perceived quality of service, in particular, to improve the satisfaction. This study is expected to contribute to raising the compliance rate and to improve the quality of the NCSP.

• Journal of Advanced Marine Engineering and Technology
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• v.28 no.5
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• pp.837-846
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• 2004

This paper presents a screening technique for greatly reducing the computation involved in determining the optimal location and types of Flexible AC Transmission System (FACTS) devices in a large power system. The first-order sensitivities of the generation cost for various FACTS devices are derived. This technique requires solving only one optimal power flow (OPF) to obtain sensitivities with respect to FACTS device control variables for every transmission line To implement a sensitivity-based screening technique, we used a new UPFC model, which consists of an ideal transformer with a complex turns ratio and a variable shunt admittance. A S-bus system based on the IEEE 14-bus system was used to illustrate the technique.

• Journal of Korean Society for Quality Management
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• v.28 no.2
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• pp.161-175
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• 2000

The problem of jointly determining the optimum process mem and screening limits for each market is considered in situations where there are several markets with different price/cost structures. Two inspection procedures are considered; an inspection based on the quality characteristic of interest, and an inspection based on a surrogate variable which is highly correlated with the quality characteristic. The quality characteristic is assumed to be a normal distribution with unknown mean and known variance. A Taguchi's quadratic loss function is utilized for developing the economic model for determining the optimum process mean and screening limits. A numerical example is given.

• Journal of Korean Academy of Nursing
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• v.45 no.1
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• pp.129-138
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• 2015

Purpose: The purpose of this study was to report the instrument modification and validation processes to make existing health belief model scales culturally appropriate for Korean Americans (KAs) regarding colorectal cancer (CRC) screening utilization. Methods: Instrument translation, individual interviews using cognitive interviewing, and expert reviews were conducted during the instrument modification phase, and a pilot test and a cross-sectional survey were conducted during the instrument validation phase. Data analyses of the cross-sectional survey included internal consistency and construct validity using exploratory and confirmatory factor analysis. Results: The main issues identified during the instrument modification phase were (a) cultural and linguistic translation issues and (b) newly developed items reflecting Korean cultural barriers. Cross-sectional survey analyses during the instrument validation phase revealed that all scales demonstrate good internal consistency reliability (Cronbach's alpha=.72~.88). Exploratory factor analysis showed that susceptibility and severity loaded on the same factor, which may indicate a threat variable. Items with low factor loadings in the confirmatory factor analysis may relate to (a) lack of knowledge about fecal occult blood testing and (b) multiple dimensions of the subscales. Conclusion: Methodological, sequential processes of instrument modification and validation, including translation, individual interviews, expert reviews, pilot testing and a cross-sectional survey, were provided in this study. The findings indicate that existing instruments need to be examined for CRC screening research involving KAs.

• Korean Journal of Health Education and Promotion
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• v.23 no.3
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• pp.85-97
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• 2006

Objectives: This study was done for the purpose of revitalization of the health improvement project by looking into major influence factors on the health examination of local residents in a city area. Methods: The research data was collected using a survey of the local residents in Wonju-City, Gangwondo. The survey was held between Oct. 4th to Oct. 15th, 2004. And, it was done as a household interview survey. The independent variables used were socio-demographic characteristics, health status, health concern, and health behaviors. The dependent variable was whether or not the respondent did take a cancer screening test. Results: In case of men, the execution rate of cancer screening was higher for those who had spouses, who were having no experience of a disease, who drank, and who did exercise. In the case of women, the execution rate of cancer screening was higher in the cases who had spouses, who had high income levels, and who were making an effort for their health. Conclusion: To raise the execution rate of health examination, more research on the major factor of cancer screening is necessary.

• IE interfaces
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• v.21 no.1
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• pp.43-50
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• 2008

Understanding consumers' latent desires for product form has now become a critical issue in product design. Accordingly, product development processes is rapidly changing from product-oriented development to user-centered development. Driver visibility is considered as an important element of driving posture packaging in automobile interior design. This study presents a systematic process for driver visibility analysis approached from affective engineering method that provides design variable selection and screening with respect to the image/impression element of the human visibility. Also, the analysis of front visibility, often called the feeling of "openness", in motor vehicle interior design, is selected and practiced a case study using the systematic process proposed in this study. Twenty six participants evaluated the feeling of openness for thirty motor vehicles following the perceived scale of affective design factors. The results showed that variables such as the height of head lining, the height of cluster housing, the gradient of windshield and the volume of A-pillar were the critical design variables which affect the feeling of openness in a motor vehicle.

• 한국데이터정보과학회:학술대회논문집
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• 2003.10a
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• pp.215-228
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• 2003

Decision tree algorithms are used extensively for data mining in many domains such as retail target marketing, fraud dection, data reduction and variable screening, interaction effect identification, category merging and discretizing continuous variable, etc. CHAID(Chi-square Automatic Interaction Detector), is an exploratory method used to study the relationship between a dependent variable and a series of predictor variables. CHAID modeling selects a set of predictors and their interactions that optimally predict the dependent measure. In this paper we explore CHAID algorithm in view of accuracy and speed by sampling proportion.

• The Journal of Korean Society for School & Community Health Education
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• v.24 no.4
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• pp.51-60
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• 2023

Objectives: This study attempted to examine the factors that affect the national health checkup rate of the elderly, analyze the impact of these factors, and discuss countermeasures to problems that may arise based on this. Methods: This study used the '8th National Health and Nutrition Examination Survey (2019-2021)', a nationwide survey, as the main data. The subjects of the study are seniors aged 65 years or older, the dependent variable is whether or not they underwent a national health checkup, and the independent variables are gender, marital status, residence, education level, income level, economic activity, type of medical coverage, private insurance subscription, subjective health, High blood pressure, diabetes, depression, stress, and weight change were selected. The statistical analysis package for data analysis is SPSS ver. 27.0 was used, and a p value of less than 0.05 was considered significant. Results: Of the 2,806 seniors aged 65 years or older, 2,074 (73.9%) took the national health screening over the past two years. In terms of marital status, married was 1.451 times higher than single (p<0.001), and in terms of residence, myeon was 1.240 times higher than dong (p<0.01). In terms of education level, college graduates were 2.053 times higher than elementary school graduates (p<0.001), and in terms of economic activity, the employed were 1.325 times higher than the unemployed (p<0.01). Private insurance was 1.883 times higher than non-subscription (p<0.001), weight change was 1.234 times higher for change than no change (p<0.05), and current smoking rate was 2.003 times higher for non-smokers than for former smokers. It was high (p<0.001). Conclusion: In conclusion, if differentiated promotion and health education are strengthened for the elderly who cannot participate in the national health screening, the participation rate of the elderly in the national health screening is expected to increase.