• Korean journal of food and cookery science
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• v.33 no.3
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• pp.264-274
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• 2017

Purpose: The purpose of this study was to analyze the meal types by cooking methods provided at different meal provision places using the 2015 Korea National Health and Nutrition Examination Survey. Methods: A total of 42,441 meal data on adults from the 2015 Korea National Health and Nutrition Examination Survey were used for analysis. The data were analyzed by complex sample $x^2-test$ of independence and complex sample logistic regression analysis using SPSS 23.0 for Windows. Results: The meal provision place showing the highest frequency was home (60.2%), followed by commercial (32.5%) and institutional foodservices (7.3%). The meal types by cooking method most frequently consumed were rices (18.3%) and kimchis (16.6%). The results of the complex sample logistic regression analysis showed that breads & snacks, steamed or braised dishes, fried dishes, and fresh seasoned vegetables were more likely to be consumed at commercial or institutional foodservices than at home. In addition, noodles & dumplings were more likely to be consumed at commercial places, and Korean soups were consumed at institutional foodservices. Conclusion: From the results of this study, it is suggested to develop recipes for substitution of fried dishes and to develop low sodium recipes at commercial and institutional foodservices. In addition, education of consumers of commercial foodservice is needed to reduce consumption of fried dishes, salted seafoods, and pickled vegetables and encourage consumers to choose meals from institutional foodservice managed by dietitians.

• Journal of the Korean Geophysical Society
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• v.6 no.4
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• pp.261-268
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• 2003

Lots of various utilities are buried under the surface. The effective management of underground utilities is becoming the very important subject for the harmonious administration of the city. Ground Penetrating Radar(GPR) survey including other various underground survey methods, is mainly used to detect the position and depth of buried underground utilities. However, GPR is not applicable, under the circumstances of shallow depth and places, where subsurface materials are inhomogeneous and are composed of clay, salt and gravels. The aim of this study is to overcome these limitations of GPR and other underground surveys. High-frequency electromagnetic (HFEM) method is developed for the non-destructive precise deep surveying of underground utilities. The method is applied in the site where current underground surveys are useless to detect the underground big pipes, because of poor geotechnical environment. As a result, HFEM survey was very successful in detecting the buried shallow and deep underground pipes and in obtaining the geotechnical information, although other underground surveys including GPR were not applicable. Therefore this method is a promising new technique in the lots of fields, such as underground surveying and archaeology.

• The Journal of Bigdata
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• v.5 no.2
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• pp.29-42
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• 2020

In Korea, micro-enterprises are in charge of an important part of the common people's economy, but face difficulties such as excessive competition, deteriorating profitability, and concentration of life-oriented industries. In order to solve this problem, the government is providing commercial district analysis services for micro-enterprises. However, the data provided by various organizations is not standardized, and there is a limit to the composition of the service with limited data. In this paper, we propose a method of solving the data consistency problem and linking and analyzing between questionnaire information and commercial district information to expand the data analysis service. The proposed linking methods are three methods: linking the commercial area information and questionnaire information in the same area based on the type of business and area, linking the survey information centered on individual micro-enterprise, and linking a small area of questionnaire information with a large area of commercial district information. The linked commercial district information and questionnaire information can be used in various ways or expanded analysis services. This proposed a method to overcome the limitations of existing commercial district analysis services with questionnaire information and lay the foundation for expanding the commercial district analysis services necessary for micro-enterprises.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.411-416
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• 2020

Field investigations of forests are carried out by writing measured data by hand, and it is a hassle to reorganize the results after a field survey. In this study, a method using object modeling and augmented reality (AR) was applied in a test forest to increase the efficiency of a field investigations. Using a 3D laser scanner, data on were acquired 387 trees within an area of 1 ha at the study site. The coordinates, height, and diameter were calculated through object extraction and modeling of a tree. The proposed can reduce the time required to acquire data in the field and can be used as basic data for building related systems. In addition, the modeling results of trees and a survey using GNSS and AR techniques can be used check coordinates, labor, and attribute information, such as the chest height diameter of the trees being surveyed in the field. The shortcomings of the survey method could be improved. In the future, the method could greatly improve the efficiency of tree surveys and monitoring by reducing the manpower and time required for field surveys.

• Journal of the Korea Institute of Building Construction
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• v.22 no.2
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• pp.183-194
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• 2022

This study conducted a survey for BIM experts as a basic study to improve the efficiency of a BIM-based review of the BF certification evaluation method. By limiting the buildings to elementary schools, the first survey was conducted to extract the mandatory facilities from the BF certification evaluation items according to the evaluation criteria, and 63 out of a total of 94 evaluation items were extracted. The extracted facilities were intermediary facilities, internal facilities, and sanitary facilities. The second survey provided detailed calculation criteria for BF certification evaluation items, and through investigating the possibility of BIM-based review, 31 items were derived. In the 3rd and final survey, when asked about the effectiveness of the current CAD-based and BIM-based evaluation methods, the BIM-based evaluation method showed 96.8% effectiveness and the CAD-based evaluation method showed 3.2% effectiveness.

• Journal of Preventive Medicine and Public Health
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• v.56 no.4
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• pp.291-302
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• 2023

Objectives: Disability weights require regular updates, as they are influenced by both diseases and societal perceptions. Consequently, it is necessary to develop an up-to-date list of the causes of diseases and establish a survey panel for estimating disability weights. Accordingly, this study was conducted to calculate, assess, modify, and validate disability weights suitable for Korea, accounting for its cultural and social characteristics. Methods: The 380 causes of disease used in the survey were derived from the 2019 Global Burden of Disease Collaborative Network and from 2019 and 2020 Korean studies on disability weights for causes of disease. Disability weights were reanalyzed by integrating the findings of an earlier survey on disability weights in Korea with those of the additional survey conducted in this study. The responses were transformed into paired comparisons and analyzed using probit regression analysis. Coefficients for the causes of disease were converted into predicted probabilities, and disability weights in 2 models (model 1 and 2) were rescaled using a normal distribution and the natural logarithm, respectively. Results: The mean values for the 380 causes of disease in models 1 and 2 were 0.488 and 0.369, respectively. Both models exhibited the same order of disability weights. The disability weights for the 300 causes of disease present in both the current and 2019 studies demonstrated a Pearson correlation coefficient of 0.994 (p=0.001 for both models). This study presents a detailed add-on approach for calculating disability weights. Conclusions: This method can be employed in other countries to obtain timely disability weight estimations.

• Journal of Agricultural Extension & Community Development
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• v.15 no.3
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• pp.433-460
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• 2008

The objectives of this study were to figure out the relationships of factors, e-quality, interactivity, trust and switching barrier, to affect the online customers loyalty. Moreover, e-quality was considered because of the problem of ssability originated from the environment that a lot of information and products are given at online business. This study employs a survey method to empirically test the proposed research model. A survey questionnaire was developed and 100 responses were collected. The data were analyzed using PLS method, a structural equation modeling method. The results of the study indicate that e-quality, interactivity, and trust influence switching barrier and that the switching barrier affects virtual relationship, which has an positive effect on loyalty. This study provides valuable theoretical and practical perspectives that e-quality is the most influential factor on virtual relationship and that, of the three factors of switching barrier, the virtual relationship is the most effective one to prevent customers online from changing their main online shop for products.

• Proceedings of the Korean Association for Survey Research Conference
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• 2003.06a
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• pp.19-28
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• 2003

Weighting adjustment is a method of improving the efficiency of the estimator by incorporating auxiliary variables at the estimation stage. One commonly used method of weighting adjustment is the poststratification, which is a special case of regression estimation but is relatively feasible in terms of actual implementation. If too many auxiliary variables are used in the poststratification, the bias of the resulting point estimator is no longer negligible and the final weights may have extreme weights. In this study, we propose a method of weight ing adjustment that compromises the efficiency and the bias of the point estimator. A limited simulation study is also presented.

• The Transactions of the Korean Institute of Electrical Engineers C
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• v.50 no.8
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• pp.382-386
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• 2001

Presently, typical maximum probe spacing of soil resistivity survey(Wenners 4 pin method) is 20 m in case of 154 K substation grounding design of KEPCO. This paper examined the effects of maximum probe spacing of wenner method on the equivalent soil modeling and the accuracy of grounding resistance measurement by comparing the calculated FOP(Fall-of-Potential) curves of various soil models with the measured one at 154kV H substation. The comparison results showed that the inaccurate estimation of deep soil resistivity, which is caused from the short probe spacing of soil resistivity survey, can produce large errors on measurement of grounding resistance. In this paper a quantitative analysis of FOP at H substation has been presented.

• Communications for Statistical Applications and Methods
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• v.12 no.1
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• pp.29-38
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• 2005

In sample design, determining the weights of estimates becomes usually great influence on the result. In this article, raking methods are applied to different domain and depending on the range of the domain and sample size, the results of estimates are explained and compared. For the comparison, we use the MSE, MAE, MSPE and MAPE with Actual State of Minor Enterprisers Human Resources Survey data in 2001. The simulation result shows that more elaborate method is superior to the widely used method as expected but the difference is not quite significant.