• Korea Journal of Hospital Management
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• v.19 no.4
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• pp.9-20
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• 2014

The purpose of this study is to find out factors affecting patient moving to receive medical service. This study is analyzed by multi-level model with patient and hospital level by using SAS 9.3. Total number of patients is 600,000 persons for inpatients and 550,000 patients for outpatients. The degree of the factors, which is combined with personnel factor and hospital factor, can be analyzed by Intra-Class Correlation (ICC). The percentage of group(hospital) level variance of the total variance for out-bound moving case are 30.6% at inpatients, and 28.3% at outpatients. And the percentage of hospital level variance of the total variance for moving distance, are 26.7%, 32,5% respectively. Conclusionally, although the main factor of moving is patient level, hospital is also very important factor to make decision to go out-bound. It contributed to about 1/3 for hospital choice. And, when the one make decision, he will consider the hospital type, number of bed, and training institute in hospital level. Through this study to find out hospital factors affecting patient moving for medical service, it must be continued to find out which factors have more influence to choice the hospital among disease type after this.

• Korean Institute of Interior Design Journal
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• v.25 no.6
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• pp.61-69
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• 2016

A study on how fire officer's job satisfaction factors influence space satisfaction rates. This article will conduct regression analysis for the study on these three problems. 'What are the factors of fire officer's job satisfaction?', 'Does space satisfaction rates influence job satisfaction rates?', 'Which job satisfaction factor influence space satisfaction rate?' Therefore, variables were set based on the prior study, and before regression analysis was conducted, variables were purified through analysis on primary factor and reliability analysis, and hypothesis test was done via variable calculation. According to the prior study, factors that influence job satisfaction rates are as following; self-regulation of tasks, ethics and responsibility level, relationship with colleagues, job identity. And regression analysis showed that space satisfaction rates do not influence job satisfaction rates. The writer thinks that it's showing that Korean fire officers tend to prioritize colleague relationship and job identity over space improvements. And the factor that influence job satisfaction rates turned out to be the self-regulation of tasks, and the writer estimates that it's reflecting the hierarchical organization culture of current Korean fire officers. Therefore, future Korean fire station design plans need to consider a space plan that provides fire officer's private self-regulation of tasks.

• Proceedings of the KIEE Conference
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• 1988.11a
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• pp.210-213
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• 1988

A new and accurate expression to derive a window area is presented with a sequence for daylighting design using Daylight Factor Method process not in its classical point--by-point method but in lumen method as in artificial lighting design process to consider daylight in the early stage of a building design process. Accepting CIE Overcast Sky as the worst state with the lowest sky luminance, a user of a room can have more available daylight in his or her room. In the design process uniformity is checked to ensure reasonably even daylighting by comparing the depth of the room with the computed limiting depth. After these steps the shape and position of window is altered, of which the Sky Component of Daylight Factor under an Overcast Sky, SCo, is investigated and computed in Composite Simpson Multiple Integral so that a building designer or an analyst can choose the best shape and location that satisfies his/her taste and purpose of the room.

• Journal of Agricultural Extension & Community Development
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• v.14 no.2
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• pp.417-436
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• 2007

The purpose of this study was to prepare for developing rural house remodeling techniques utilizing the traditional residence factor. The study was carried out through both literature research and on-site research. The traditional residence space factors were identified through literature research and on-site research was carried out through analysis of the rural house remodeling cases. The results of this study was as follows ; 1) Traditional space factors were derived by literature research i. e. space arrangement (topography, direction, plane arrangement), exterior factors; walls, madang, interior factors; roofs, ondol, floors, colours. 2) The traditional residence factor utilizations of remodeling were applied a result through investigation case and analysis. Five rural houses in Namsa village, Danseong-myeon, Sangcheong-gun, Gyeongsangnam-Do were analyzed as remodeling cases including traditional residence factors. There were limitation of budget problems and material selection in the traditional residence factor utilizations of remodeling. The researchers have chosen target rural houses which applied for traditional residence factors to remodel the rural houses, and the most important factor to consider was harmony with rural unique characteristics. The researchers suggested considerations should be placed on development with energy savings and convenience in rural house remodelling.

• Journal of the Korean Society of Industry Convergence
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• v.4 no.4
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• pp.419-426
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• 2001

Concrete mix proportioning is a process of selecting the right combination of many materials such as cement, fine aggregates, coarse aggregates, water, and admixtures to make concrete satisfying for specification and cost. In determining proportioning of concrete mixes, code information, specification, and the experience of experts are needed. However, all factors regarding mix proportioning factor cannot be considered. Therefore, the final acceptance depends on concrete quality control test results. The proportioning of concrete mixes and the adjustments are somewhat complicated, time-consuming, and uncertain tasks. In this paper, as a tool to predict the factor of the proportioning of concrete mixes, an artificial neural network is used. To consider the varieties of material properties, the standard mixed table of two companies of ready mixed concrete are used. The results show that neural net works is successfully applied to the prediction of concrete mix proportioning factor.

• Journal of Hydrogen and New Energy
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• v.30 no.3
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• pp.251-259
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• 2019

The aim of this study is to evaluate the economic feasibility of domestic on-site steam methane reforming (SMR) hydrogen refueling stations. We evaluated the levelized cost of hydrogen (LCOH) for the SMR hydrogen refueling stations, which have production capacities of 100 kg/day (SMR 100), 200 kg/day (SMR 200), and 500 kg/day (SMR 500) utilizing the scale factor. The main results indicated that the LCOH of SMR 100, SMR 200, and SMR 500 were 14,367 won/kg, 11,122 won/kg, and 8,157 won/kg, if the utilizations of hydrogen stations were 70%. These results imply that the production capacity of the domestic SMR hydrogen station should be greater than 500 kg/day to compete with other hydrogen stations when we consider the current sale price of hydrogen at the hydrogen stations.

• Coupled systems mechanics
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• v.12 no.2
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• pp.151-165
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• 2023

In this study, a simple method for the determination of the shear correction factor for composites beam with a rectangular cross section is presented. The plane stress elasticity assumption is used after simplifications of the expression of the stress distribution in the beam. The different fiber orientation angle and volume fraction are considered in this work. The studied structure is subjected to various loading type (thermal and hygrothermal). The numerical results obtained show that there is a dependence of the shear coefficient on the orientation of the fibers. The evolution of the shear correction factors depends not only on the orientation of the fibers and also on the volume fraction and the environment. the advantage of this developed formula of the shear correction factor is to obtain more precise results and to consider several parameters influencing this factor which are neglected if the latter is constant.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.3
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• pp.195-209
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• 2013

Purpose of this study is to empirically consider relation between QM activity factor and management result. For this, following 6 major variables of QM activity were established as independent variable; CEO's leadership, communication, process control, standardization, full participation and education/training while satisfaction of members and improvement of quality were established as dependent variable. And, a model was set up and hypothesis verification was conducted on the basis of data collected through questionnaires. The results are summarized as follows; First, QM factors which influenced satisfaction of members in management result were CEO's leadership, communication, process control, full participation and education/training but 'standardization' factor was not statistically significant. Second, QM factors which influenced improvement of quality in management result were CEO's leadership, communication, standardization, full participation and education/training but 'process control' factor was not statistically significant. Third, among main factors of QM activity, the factor which preferentially influenced satisfaction of members was 'full participation' factor while the factor which preferentially influenced improvement of quality was 'standardization' factor. According to such results, it is required to seek a statistical method regarding QM activity with focus on the factor of 'full participation' and 'standardization' among other things for the purpose of satisfaction of members as well as improvement of quality. It is believed that implication of this study can be useful information to realize management result considering main factors of QM activity and that it also can be basic reference data to seek a statistical method for satisfaction of members and improvement of quality by grasping core factors having influence over QM activity.

• Journal of the Korean Institute of Landscape Architecture
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• v.30 no.2
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• pp.1-11
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• 2002

The purpose of this study is to investigate landscape image and define elements of difference in visual preference of bridges on the Han River. To do this end, video was used as a media for the evaluation of the landscape image of 16 bridges on the Han River using a Semantic Differential scale. Data is collected by 50 students from Woosuk University, majoring landscape architecture. Final analysis utilized a total of 704 samples of data. Data is analyzed through descriptive statistics, and spatial image is analyzed by factor analysis algorithm Principle component analysis using Varimax method is applied far extraction and factor rotation. T-test is used to find the difference between the bridge type of preference with the data of factor score. Logistic regression is used to select the factors that influences the visual preference among the image factors. The results of this study can be summarized as follows; The image of whole bridges on the Han River is somewhat orderly, sequential and open. The degree of visual preference of unique bridge type is higher than normal but there are some differences in visual preference within the same type of structure. This suggests that the surrounding landscape is one of the important factor for visual preference. Factors covering the image of bridge are found to be 'aesthetic',　'structure','spatial factor', and 'shape'. Total variance is obtained as 60.4%. The aesthetic variables are the most important factor for visual preference and the structural factor presents no significant difference in visual preference between more preferred and less preferred bridges. Since the collapse of Songsu Bridge, we thought the structural factor is very important but the results of this study suggest that it is more important to consider the aesthetic and spatial factors of the bridge to increase the visual preference when planning and designing bridges. Simulations with more detailed data about surroundings should be utilized practical design.

• Journal of the Korean Geosynthetics Society
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• v.15 no.2
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• pp.13-24
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• 2016

The safety factor of an infinite slope tends to be analyzed as lower when the effects of root cohesion are not considered into the equation. Thus, it is essential to consider regional characteristics such as root cohesion and crown density in order to obtain a reasonable safety factor value. In this study, The safety factor of the landslide model, both before and after considering crown density and root cohesion, was calculated and a comparative analysis was carried out. The safety factor is increased by the effect of roots cohesion of the analysis results, the amount of increase in safety factor along the inclination of the slope angle has been analyzed with various things, the effect of reinforcing the roots cohesion, slope of the lower angle it was found that the higher the safety factor increase.