• The Korean Journal of Health Service Management
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• v.5 no.4
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• pp.95-111
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• 2011

The purpose of this study was to explore and analyse the work value of university students majoring in health care management. The subjects of this study were 300 students. Maryland Work Value Inventory was used and the data were collected using a structured and self-administrated questionnaire. As a result of factor analysis, the following results were obtained. First, the work value consists of six factors (financial remuneration, social status, social contribution, capability, achievement, proper pride) and it can be classified extrinsic work value (financial remuneration, social status) and intrinsic work value(social contribution, capability, achievement, proper pride). Second, The mean extrinsic work value(4.16) was higher than the mean intrinsic work value(3.80). The preference order of the work value was like this; financial remuneration(4.36) the first, achievement(4.05), social status(3.96), proper pride(3.93), capability(3.78), and social contribution(3.45) the last. Third, the mean of the economic stability in extrinsic work value was the highest. The factors meaningfully relating with intrinsic work value were age, school grade and the experience of job. Forth, as a result of regression analysis, the more school grade they have, the less extrinsic work value and the less their mother's level of education, the higher extrinsic work value.

• Journal of Korean Society for Atmospheric Environment
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• v.13 no.4
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• pp.285-296
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• 1997

The suspended particulate matters had been collected on quartz fiber fiters by a cascade impactor having 9 size stages for 4 years (Sep. 1991 to Dec. 1995) in Kyung Hee University-Suwon Campus. Membrane filters were used to collected the particulate matters on each stage. The weight concentration on each stage was obtained by a microbalance and further chemical element levels were determined by an x-ray fluorescence system. Based on these chemical information, our study focused on applying the target transformation factor analysis (TTFA), a receptor model, to identify aerosol sources and to apportion quantitatively their mass contribution. There are total of 63 ambient data sets. Each data set consists of the 8 size-ranged subdata sets characterized by 16 elemental variables. By the results, four to five sources were extracted from each size range and some sources reappeared in other size ranges. Then total of 8 source profiles were statistically generated from all the ranges, such as oil burning source, soil source, field burning source, gasoline related source, coal burning source, marine source, glass related source, and unknown sources. Apportioning aerosol mass to each source was intensively examined by investigating emission inventories near the study area. The results showed that soil particle source was the most significant contributor. However, coal and oil burning sources were the major anthropogenic ones. The study finally proposed some air quality control strategies to achieve the clean air quality in Suwon area.

• Journal of the Korean Regional Science Association
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• v.13 no.2
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• pp.93-118
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• 1997

Main findings of this study are as follows. Time-space model of Korea for urban growth model is established. The variables of space model resulted in job and education, which both are significant at 0.01 level and positive. The effect of job and education on the urban growth are 0.76 and 0.29 respectively in average. the determinants for deciding the influences for job variable are income variable and price-level variable. Income variable contributes 68.66% and the direction is negative while contribution of price-level variable is 29.90% and the direction is positive. The determinants for education variable are income, unemployment and wage difference between university graduates and high school graduates. The contribution and the high school graduates. The contribution and the direction of each variable for education variable are 63.6% and positive for the unemployment variable, 15.99% and negative for the income variable and 13.75% and positive for the wage difference variable. This study in different from previous works in three ways. The first is to establish the time-space model which could consider the time and space factor simultaneously. The second is to build data bases which contain the data of almost every city and every year in Korea during the objective period, which make the analysis continuous. The third is that the general analytic framework for the study is macrosocial one rather than a behavioral one, which means the unit of analysis is the metropolitan community and each city occupies population actively through it's potential power such as jobs, education and so on rather than a city population is the passive result of migration.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.41-47
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• 2019

In this paper, we propose a new batter evaluation model that reflects the skill of the opponent pitcher in Korean professional baseball. The model consists of evaluation factors such as Run Value, Contribution Score and Ball Consumption considering the pitcher grade. These evaluation factors are calculated as different data. In order to include the evaluation factors having different characteristics into one model, each evaluation factor is weighted and added. The genetic algorithms were used to calculate the weights, and the data were based on the 2016 records of Korea Professional Baseball and the salary data of the players of 2017. As a result of calculation of the weight, the weight of the Run Value was high and the weight of the Contribution Score was very low. This means that when calculating the annual salary, it reflects much of the expected score according to the batting result of the batter. On the other hand, the contribution score indicating the degree to which the batting result contributed to the victory of the team according to the state of the economy is not reflected in the salary or point system.

• Journal of Distribution Science
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• v.21 no.4
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• pp.113-119
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• 2023

Purpose: This study aims to investigate the effect of retailer's ESG performance on consumption value. The research analyzed the effect of consumption value that can be obtained through ESG management of retail companies on consumer attitude and repurchase intention. Research design, data, and methodology: A research model and hypothesis were established, and statistical analysis was performed on a total of 278 samples of all age groups. To secure the reliability and validity of the data, confirmatory factor analysis and discriminant validity analysis were performed, and the causal relationship of latent variables was verified through path analysis. Results: As a result of the analysis, it was found that among the characteristics of consumption value according to ESG management, social value, economic value, accessible value, and eco-friendly value had an effect on social contribution attitude. Also, the economic value was found to have an effect on the self-actualization attitude, and both the social contribution attitude and the self-actualization attitude have an effect on the purchase intention. Conclusions: This study empirically analyzed the value of ESG management in the retail industry that consumers are paying attention to recently. This will serve as a basis for revising and supplementing the retail companies' strategy in the near future.

• Transactions of the Korean Society of Pressure Vessels and Piping
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• v.10 no.1
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• pp.51-55
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• 2014

Based on the results of Probabilistic Safety Assessment(PSA) for a Nuclear Power Plant (NPP), Common Cause Failure(CCF) events have been recognized as one of the main contributors to the risk. Also, the CCF data and estimation method used in domestic PSA models have been pointed out as an issue with respect to the quality. The existing method of MGL and non-staggered testing even widely used were considered conservative in estimating the safety and had a limited capability in uncertainty analyses. Therefore, this paper presents the CCF estimation using a new generic data source and Alpha factor method. The analyses showed that Alpha factor and staggered method are effective in estimating the CCF contribution and risk insights of reference plant. This method will be a common bases for the optimization of new design for the construction plants as well as for the updating of safety assessment on the operating nuclear power plants.

• The Journal of the Acoustical Society of Korea
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• v.18 no.4
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• pp.47-52
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• 1999

In this paper, we proposed a new approach to weight each feature parameter by considering the dispersion of feature parameters and its degree of contribution to recognition rate. We determined the total distribution factor that is proportional to recognition rate of each feature parameter and the dispersion factor according to the dispersion of each feature parameter. Then. we determined state-dependent weighting using the total distribution factor and dispersion factor. To verify the validity of the proposed approach, recognition experiments were performed using the PLU(Phoneme-Like Unit)-based HMM. Experimental results showed the improvement of 7.7% at the recognition rate using the proposed method.

• Proceedings of the Korea Concrete Institute Conference
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• 1995.10a
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• pp.267-272
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• 1995

The objective of this study is to investigate the effect of concrete strength on the stirrup effectiveness factor(K) of reinforced concrete beams with stirrup based on previous test results(a/d$\geq$2.5). In the procedure of the estimation of K, it was assumed that the ultimate shear strength for beams without stirrup is equal to the concrete contribution to shear strength for beam with stirrup. A model equation for calculation the stirrup of compressive strength of concrete. It was shown that the stirrup effective factor of compressive strength of concrete. It wah shown that the stirrup effective factor is greater than 1.0 up to compressive strength 85MPa. Therefore the current ACI Code equation for predicting the shear strength and the stirrup effectiveness factor of 1.0 is conservative for nomal and high stength concrete beams with stirrup.

• IE interfaces
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• v.21 no.3
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• pp.312-321
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• 2008

The productivity increase by technological advance is the biggest driving force of economic growth. In this paper, we investigate the inputs and outputs of the manufacturing and service industries in Korea. We also estimate the total and partial factor productivities of both industries using the Solow model and the Kendrick model. Finally, we analyze the contribution of each input factor to industrial growth.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.2
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• pp.140-146
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• 2009

Since the computer technology has been drastically developed and broadly employed for the design of human machine system, human system interface was somehow digitalized. Actually the operator's working environment employing the digital devices are not be fully digitalized due to its technical constraints so that it has been changed to the hybrid environment which has a combination of digital and analog elements. The hybrid environments need to study its characteristics and the guidelines for the proper design and evaluation purpose. This paper describes the human factor design elements of the console operated under hybrid environment through studying the characteristics of digital and analog environment based on the related human factor guidelines and literatures. The result of this paper implies the contribution to the evaluation of the generic human working environment which digital and analog elements are jointly used.