• Journal of The Korean Society of Integrative Medicine
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• v.11 no.1
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• pp.99-111
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• 2023

Purpose : Although quantitative research on alcohol consumption among nursing students is important, qualitative research is needed to determine the subjective views of individual students, such as their feelings and thoughts, and ensure the implementation of a targeted alcohol intervention program. Q-methodology is a systematic approach that examines the subjective perspectives of individuals, including their views, beliefs, and attitudes, enabling understanding of the types and characteristics according to the individual's subjectivity structure. This study examined the subjective perceptions of drinking among freshmen in nursing college using Q methodology. Methods : Q-sorting was conducted, collecting 38 P samples and 40 statements. The data were analyzed using the PC QUANL program. The principal component factor analysis method was used for Q-factor analysis. Results : The results identified four types of drinking perceptions among freshmen in nursing college. Type 1 was "safety and health pursuit," type 2 was "friendship pursuit," type 3 was "'norm-oriented," and type 4 was "sound manners." When looking at the subjective perceptions of drinking among freshmen in nursing college, there was a common opinion that drinking should not be forced and that it is an individual choice. However, the difference in views (positive and negative) of drinking shows the need for customized educational programs and interventions suitable for each type. Conclusion : Nursing freshmen should be prepared to play an important role in health care as an educational role and model in preventing damage from drinking and maintaining health promotion throughout their life by habituating proper drinking behavior during college life. In addition, it is necessary to develop a plan to increase positive awareness of drinking among nursing students through various strategic programs that can participate in sobriety prevention programs within the university.

• Journal of Korean Academy of Nursing Administration
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• v.5 no.1
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• pp.39-61
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• 1999

This thesis is attempted to ananlyze the relationship between the empowerment in the nursing work environment, the job-related personal charateristics and the nursing job performance according to the individual variables of hospital, age, experience, education, position, practice area, number of nurses in the practice area, number of beds. 'Opportunity', 'support', 'informantion', ,resource' are used as structural factors of empowerment suggested by Kanter's theory of structural power in organization, and 'self-efficacy', 'burnout', 'motivation', 'organizational commitment' are defined as four job-related personal charateristics. The ultimate goal of this study is to find out the work effectiveness of the structural factors of empowerment and the job-related personal charateristics. The basic data consists of two sets of questionaires. One is the self-reporting quetionaires for the staff nurses and the other one is questionaires answered by nursing managers. The latter is designed to objectively measure the job performance. A total of 523 items of data are collected randomly from nursing population of 7 different university teaching hospitals in Seoul metropolitan area. The data were analyzed mainly using descriptive statistics, correlation analysis. ANOVA, and Duncan test according to the various purposes of the analysis. The main results of this study are as follows : 1. The mean score of four structural empowerment factors are ranked by support, opportunity, resource, and information. And among the four job-related personal charateristics self-efficacy factor shows especially high score. 2. The results of the correlation analysis between the empowerment factors and the job-related personal charateristics are as follow: 1) The 'opportunity' factor is correlated with organizational commitment' (r=.37), 'motivation' (r=.36), 'burnout' (r=-.17), and (r=.09). 2) The 'information' factor is correlated with 'organizational commitment' (r=.44), 'motivation' (r=.39), 'burnout' (r=-.24), and 'self-efficacy' (r=.17), 3) The 'support' factor is correlated with 'organizational commitment' (r=.47). 'motivation' (r=.42), 'burnout' (r=-.24), and 'self-efficacy (r=.20), 4) The 'resource' factor is correlated with 'burnout' (r=-.28), 'organizational commitment' (r=.26), and 'motivation' (r=.26), 3. The job performance are correlated with 'motivation' (r=.24) , 'self-efficacy' (r=.16), 'burnout' (r=-.16) and 'organizational commitment' (r=.12), 4. The job performance are correlated with' support' (r=.17), 'information' (r=.12) 'opportunity' (r=.10), 5. The result of ANOVA for analysing the relationship between the structural factors of empowerment and individual variables shows that the level of empowerment are significantly different by the variables such as 'hospital' and 'the number of beds in the practice area'. In summary, there were several findings in this study, First, the structural factors of empowerment defined as opportunity, support, information are significantly correalted with the job-related personal charateristics that are supposed to relate to the level of job performance. These results support the basic hypothesis suggested by Kanter's theory and implies that for improving the job performance of nurses, hospital has to have more concern about the structural factors of nursing environment.

• Journal of Advanced Navigation Technology
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• v.27 no.4
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• pp.323-329
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• 2023

This study aims to examine the factors influencing successful flight training performance in helicopter pilot education. To this end, an exploratory factor analysis was used to extract individual cognitive and non-cognitive characteristics, and a hierarchical regression analysis was conducted to find out how these characteristics (factors) affect flight training performance. As a result, it was found that the higher the spatial perception ability, resilience, and mastery goal-oriented learning attitude, the higher the flight training performance had a positive effect. This reconfirms the importance of spatial awareness, which is particularly required for pilots, and reconfirms that the role of a flight instructor in a limited cockpit space and the right motivation and effort of an individual affect flight training performance. These results are expected to be useful indicators for effective flight training of helicopter pilots in the future.

• Wind and Structures
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• v.12 no.4
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• pp.349-381
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• 2009

Since 1998, several institutions have deployed mobile instrumented towers to collect research-grade meteorological data from landfalling tropical cyclones. This study examines the wind flow characteristics from seven landfalling tropical cyclones using data collected from eight individual mobile tower deployments which occurred from 1998-2005. Gust factor, turbulence intensity, and integral scale statistics are inspected relative to changing surface roughness, mean wind speed and storm-relative position. Radar data, acquired from the National Weather Service (NWS) Weather Surveillance Radar - 1988 Doppler (WSR-88D) network, are examined to explore potential relationships with respect to radar reflectivity and precipitation structure (convective versus stratiform). The results indicate tropical cyclone wind flow characteristics are strongly influenced by the surrounding surface roughness (i.e., exposure) at each observation site, but some secondary storm dependencies are also documented.

• Journal of Korean Institute of Industrial Engineers
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• v.24 no.2
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• pp.287-296
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• 1998

We often have multiple quality characteristics to develop, improve and optimize industrial processes and products. It is not easy to find optimal control factor setting when there are multiple quality characteristics, since there will be conflict among the selected levels of the control factors for each individual quality characteristic. In this paper we propose a desirability function approach and devise a scheme which gives a systematic way of solving multiple quality characteristic problems. A numerical example is provided.

• Proceedings of the KIPE Conference
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• 2008.06a
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• pp.547-549
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• 2008

This paper presents a implementation of the monitoring program for the analysis of electric consumption characteristics in home appliances, which uses a Labview program from National Instruments Corporation. It is can provide to be easy for small-scale researcher, development groups or individual researcher to analyze electric power consumption characteristics. Also, this paper apply to actual private home and then, analyze result of monitoring and a database result of power quality etc, like the power consumption form, power factor and harmonic which follow season, and time zone. For this measured the apartment where the family which is four lives in the object.

• Journal of the Korean Institute of Landscape Architecture
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• v.15 no.1
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• pp.39-67
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• 1987

The purpose of this thesis is to suggest objective basic data for the environmental design through the quantitative analysis of the visual quality included in the physical environment of forest landscape. For this, landscape values of forest landscape have been evaluated by using the Iverson method, the images structure of forest landscape's main utilizing space have been analysed by the factor analysis algorithm, degree of visual preferences have been pleasured mainly by questionnaries and SBE method, and finally these thesis can be summarized as fallow LCP with high values of Iverson factors I and IV yield high landscape value. Specifically, Iverson factor IV has been found to play the dominant. For all experimental points, significant seasonal variations in S.D. scale values have been observed. In natural parks, where artificial structures are complementary to the natural landscape, main factors of image are S.D. scales such as the visual sequence, the formal simplicity of structures, the emphasis, the unification of heterogeneous factors and the assimilation. Factors covering the spatial image of natural parks have been found to be the overall evaluation, the individual characteristics, the tidiness, the potentiality, the dignity, the intimacy and the space volume. For all seasons, factors such as the individual characteristics, the dignity, the tidiness, the potentiality, yield high factor scores. As for factors determining the degree of visual preference, variables such as the summit, the skyline, rocks, the water and the degree of natural destruction by artificial structures yield high values for all seasons.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.47 no.1
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• pp.35-40
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• 2019

The objective of this paper is to identify the fatigue properties of carbon-fiber composite which is widely applied for the development of aircraft structures and obtain data for full-scale fatigue test. The durability and damage tolerance evaluation of composite structures is achieved by fatigue tests and parameters such as fatigue life factor and load enhancement factor. The specimens are made with carbon-fiber/epoxy UD tape and fabric prepreg. Fatigue tests are performed with several stress ratios and lay-up patterns. The Weibull shape parameters are analyzed by Sendeckyj model and individual fatigue lives with Weibull distribution. And the fatigue life factor and load enhancement factor considering reliability are evaluated.

• Journal of the Korea Safety Management & Science
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• v.13 no.2
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• pp.129-135
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• 2011

Logistics parks make profits using the efficiency of time and space. Such logistics parks play an important role in a corporation creating operating profits as well as acting as a method of alternative investment for individuals. Logistics parks no longer simply store materials, but have become a place that plays an important role in various areas of corporate and individual activities, and thus the analysis of the selection of the location of logistics parks and the related characteristics is extremely important. The estimation model is established by the weights for industry derived from AHP(Analytic Hierarchy Process).

• Journal of the Korea Fashion and Costume Design Association
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• v.22 no.3
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• pp.99-110
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• 2020

In terms of junior high school girls' growth patterns during early adolescence, are unlike childhood when relatively balanced growth patterns are found and high school years in which the normal adult body type is nearly reached, growth patterns displayed are imbalanced and rapid. In fact, diverse size changes by body part growth occur significantly different from individual to individual. Therefore, it has been hard for junior high school students to select their proper size when buying school uniforms. This study attempted to acquire basic data needed to address adolescent body shapes and school uniform patterns for junior high school girls, using the data from the 7th Size Korea Survey (2015). Specifically, it provides basic data for the development of school uniform patterns through the classification of their body into particular types, After extracting body shape components and a cluster analysis using ANOVA. According to a factor analysis conducted to determine body shape components, six factors were obtained: Factor 1: bulk and horizontal size, Factor 2: body height and length, Factor 3: shoulder shape and length, Factor 4: shape of upper body, Factor 5: lower drop, Factor 6: upper drop with a variance of 81.46%. To classify junior high school girls' body shape and determine their characteristics, a cluster analysis was performed with the variables obtained using factor analysis. Body shape was classified into three different types: Type 1 accounted for 30.7%. This was a short, slender body with the smallest bulk, size, and upper drop. Type 2 accounted for 24.9%. This was the largest in bulk and horizontal size and highest and length as well. Type 3 accounted for 44.5%. This type was close to average in terms of horizontal size, length and height, and high drop values. To develop school uniforms with great accuracy and body fit for junior high school students, there should be further studies on changes in body shape and their causes. The study results can serve as basic data for comparing branded school uniform patterns for junior high school girls and developing school uniform patterns based on body shape, using 3D virtual clothing simulations.