• Journal of Biomedical Engineering Research
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• v.23 no.3
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• pp.207-216
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• 2002

This Paper describes a quantitative analysis of Postural balance training using virtual bicycle system. We have used a virtual bicycle system that combines virtual reality technology with a bicycle . In this experiment, 20 normal adults were tested to investigate the influencing factors on Postural balance. Several factors including cycling time. cycling velocity. number of times of Path deviation, center of Pressure(COP) . and weight shift were extracted and evaluated to quantify the extent of control. Also, To improve the effect of balance training, we investigated the usefulness of visual feedback information by weight shift The results showed that the system was effective Postural balance rehabilitation training device and. in addition. the analysis method might have a wider applicability to the rehabilitation field.

• Journal of Internet Computing and Services
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• v.9 no.4
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• pp.133-142
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• 2008

This paper conceives and implements an activity analysis method as a tool to be used for workflow visual verification and mining. One of the recent issues in the workflow and business process literature is to refine and to improve the deployed workflows and business processes. The activity analysis method proposed in this paper provides a way to fine a set of activities being directly affected by the specific activity that a user tries to change its properties. I would strongly believe that the method can be a useful solution for the dynamic changes and visual verifications problems of workflow models as well as the workflow process mining problems. Finally, to prove the possibility of the proposed method and its applicability, we apply to a workflow model of the electronic approval system run by a real corporation.

• Proceedings of the SAREK Conference
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• 2008.06a
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• pp.72-77
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• 2008

About 25% of overall energy use of Korea had been spent in buildings. It is crucial to acknowledge the importance of saving energy in buildings. In order to save energy, it is important to predict accurate energy use. There are numerous energy simulation program that predicts both energy load and energy use. The problem of the energy simulation program is that it holds too many input variables, and it needs experts to model a building. So, our purpose of this study is to develop the simplified thermal load calculation program for building energy analysis which eliminates coordinates of building components instead of using full coordinates by using DOE2. Since the engine of the program is DOE2, we verified the validity of S-DOE by comparing peak heating & cooling load results and annual energy use results. The results shows that there are little difference between VisualDOE and S-DOE. Also it showed that S-DOE took less time to input variables than VisualDOE. These results reveals that the application of S-DOE is possible to accurately predict energy load and energy use of the building and still have strong point that it takes less time to analyse building energy.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.84-97
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• 2021

Digital twins are one of the promising digital technologies used to facilitate digital transformation. Therefore, it needs to continually be developed remain relevant in industry and academia. Consolidation of research is required to create a common understanding of the topic and to ensure that future research is built upon a solid foundation. Based on a bibliometric review and a thematic analysis of 217 publications on digital twins from the past two decades, this paper creates and analyzes a visual knowledge map and proposes areas for further research. To comprehensively analyze the development trends and research trends of digital twins, we performed statistical analysis of the relevant literature on digital twins within the core collection database of Web of Science. Through our research, we have shown that the current situation, trends, and hotspots of digital twin research were analyzed via CiteSpace. This study demonstrates that research on digital twins is rapidly growing in popularity, that the output of the research depends largely on the core group of authors conducting it, and that digital twins warrant cross-domain and cross-disciplinary research pathways.

• Research in Community and Public Health Nursing
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• v.13 no.2
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• pp.376-386
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• 2002

Objectives: The purpose of this study was to investigate factors influencing the smoking behavior of adolescents, in order to provide basic data to develop a future nursing intervention program for smoking prevention. Methods: The study subjects were 162 adolescents attending high schools, who were living in K city. The instruments included the Self Esteem Scale translated by Jeon (1974), beliefs about the social rule scale developed by the Committee for Adolescence Guidance (1988), differential peer association developed by Krohn et. al. (1982), perceived behavioral control scale developed by Hanson (1997), intention of smoking scale developed by Newman et. al.(1982), and self-efficacy scale developed by Sherer et. al. (1982). The data were analyzed using descriptive statistics, Pearson correlation coefficient, and stepwise multiple regression. Results: 1. The smoking behaviors of the subjects were significantly correlated with beliefs about social rule, perceived behavioral control. differential peer association, intention of smoking, self efficacy, grade, father's level of education, monthly pocket money, time of onset for smoking, degree of alcoholic intake, and drug abuse. 2. The multiple regression analysis revealed the most powerful predictor for smoking behavior was time of onset for smoking. A combination of beliefs about social rule, perceived behavioral control, grade, differential peer association, and intention of smoking accounted for 54.0% of the variance for smoking behavior in adolescents. Conclusion: It is recommended that these influencing factors for smoking behavior be considered when developing future nursing intervention programs for the antismoking behaviors of adolescents.

• Journal of Science Education
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• v.45 no.2
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• pp.247-256
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• 2021

Visual representation has been a useful tool in mathematical problem solving because it vividly express and structure the variables in the problem. But its effects may vary according to the types of problems. So, this study analyzes the survey results on the 5^th graders' visual representations using questionnaire consisting of the routine problems and the non-routine problems. The results are follows: The rate of correct answers in routine problems was higher than that of the non-routine problems. Even though the subjects were asked to solve the problem using visual representations, the ratio of solving the problem using the numerical expression was high in the routine problems. On the other hand, the rate of solving the problem using visual representation was high in the non-routine problems. The number of respondents who used visual representation in the non-routine problems was twice as many as that of the routine problems. But, among the subjects who used visual representation in the non-routine problems, the proportion of incorrect answers was also high, which resulted in using visual pictures. So, it is necessary to provide an experience that can use various types of the visual representations for problem solving and pay attention to the process of converting problems into visual representations.

• Journal of the Korean Society of Costume
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• v.55 no.7 s.98
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• pp.89-100
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• 2005

The purpose of this study was to find out differences of visual evaluation according to perceiver's personality(introvert-extrovert) and clothing styles. Subjects were 120 women in age from 18 to 31 years in Seoul. The stimuli of 7 clothing styles were used for visual evaluation. Three dimensions of visual evaluation were derived by falters analysis: elegance, activity individuality, and fashionability. The pants suit was estimated low in activity individuality and fashionability, but the hip-hop style high in activity individuality. The skirt suit was rated high in elegance, but the 8th length pants low in elegance. Personality had significant influences on the evaluation of activity individuality. Extrovert women perceived all stimuli to be more active and individual than introvert. Fashionability factor had an interaction effect by personality and clothing expenses. The introvert women in low clothing expenses group evaluated the stimuli to be more fashionable than the introvert in high clothing expenses group. There were significant differences in preference of all clothing styles according to personality. Extrovert women liked 8th length pants more than introvert. The introvert women in low clothing expenses group liked the skirt suit less than the extrovert.

• Korean Journal of Human Ecology
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• v.19 no.2
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• pp.399-407
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• 2010

The purpose of this study was to investigate the visual images of shirts according to coloration and the interval of checked patterns. The experimental stimulus and questionnaires for scaling response were developed for this study. The stimuli were 12 color pictures, in which the gender, coloration(WG: white+gray, WK: white+black, GK: gray+black), and interval(0.5 cm, 1.5 cm, 3.5 cm, 5.5 cm) were manipulated. The 7-point rating scale was used for evaluation of the visual image. Data were obtained from 144 male college students and 144 female college students living in Gyeonggi, Gyeongnam, Seoul, Gwangju, Daegu, and Busan on December 2009. For data analysis, ANOVA and the Duncan-test were used by using the SPSS program. The results of this study were as follows; the visual images for shirts according to the coloration and interval of checked patterns consisted of four dimensions of attractiveness, appeal, youth, and modesty. Gender was the main factor when looking at attractiveness. Coloration had the main effect on appeal, youth, and modesty. Also, there was a significant interaction effect of gender and coloration on attractiveness, while there was a significant interaction effect of coloration and interval on modesty.

• Journal of Fashion Business
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• v.14 no.2
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• pp.127-137
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• 2010

The purpose of this study is to evaluate the differences of visual image by variations in the volume of flare and the length of flare skirt. The stimuli are 12 samples: 4 variations of volume of flare and 3 variations of the length of skirt. The data has been obtained from 181 fashion design majors. The data has been analyzed by Factor Analysis, ANOVA, Scheffe's Test and the MCA method. The results of the study are as follows: The visual image by the volume of flare and the length of flare skirt are composed of 4 factors : matureness, attractiveness, stiffness and softness, moderateness. In these factors, matureness is estimated by the most important factor. When the volume of flare is $180^{\circ}$, the visual images are shown to be better. As the skirt gets shorter, it has more vivid and attractive image. And as the skirt gets longer, it looks older and gentle but not too plain or ordinary. The volume of flare and skirt length interact with each other in matureness and attractiveness factors. But the volume of flare affects more in stiffness and softness and moderateness factors than skirt length.

• Journal of the Korean Society of Safety
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• v.27 no.2
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• pp.117-126
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• 2012

Understanding driver's characteristic of visual activity is important process because driver depends on a visual signal more than 90% for getting outside information needed to drive, thus a series of driving, including perception, judgement, and activity, is completed. This study analyzes quantified driver's sight range in curved section where recognition of various information is critical due to biggest speed change among sections. Simulation is utilized for this study because of safety problem on field experiment and difficulties in using equipment. Building 6 roads that have different in curve radius by virtual driving map, experiment is carried out recruiting 30 people. Through analytical researches, it shows that drivers keep an eye on direction of driving, and driver's visual range is narrowed on left curve than right curve, and the more curve radius become small, the more drivers see in narrow angle.