• Journal of Korean Society for Quality Management
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• v.43 no.4
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• pp.589-606
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• 2015

Purpose: In developing new products, reducing performance variation is important for competitiveness factors such as quality, cost, and delivery. This paper aims at evaluating three performance variations; measurement, performance evaluation, and manufacturing variations, and then improving product and process design, focused on paper helicopter making case study. Methods: For measurement system analysis, gage R&R (repeatability and reproducibility), linearity, stability are evaluated. Since gage R&R are not satisfactory, the measurement system is improved by adopting voice memos application of iPhone and providing standard measurement procedure. To evaluate performance variation, product deterioration and environment factor (wind speed) is considered. Since the existing design is sensitive to these noise factors, a new product design is developed, which is proven to be robust to the noise factors. Finally, manufacturing variations are evaluated with five factors which can cause variation in flight time. To reduce the impact of three significant factors, three improvement methods are applied. Results: Three performance variations are evaluated and robust paper helicopter design is presented. Conclusion: To reduce measurement and process variations, improved measurement method and paper helicopter making procedure are proposed. A new product design is also presented which is robust to deterioration and environmental variation. This paper is expected to benefit students and practitioners who want to have hands-on knowledge on new product quality improvement.

• Journal of Families and Better Life
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• v.22 no.6 s.72
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• pp.155-164
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• 2004

The purpose of this study is to discover similarities and dissimilarities in life style and other factors for housing choices between two generations living in same household. It will provide knowledge that is helpful in understanding the two generations and develop marketing strategies for houses as a commodity that accommodates the life style of both generations. The data of this study were collected from October to November 2003, using a structured, self-report questionnaire that contains questions on 40 dimensions of life style and 33 items on housing choices. The original respondents consisted of 307 university students and their parents living in Seoul. The ages of the younger generation were limited from ぉ to 29. The final participants in this study included 224 sets of university students and their parents, that is, about 448 respondents. Frequency, percentage, factor analysis, paired t-test and means were used for data analysis. The results show that the life style may be divided into nine sub-types. There were generational differences in If-oriented lifestyle, Conservative lifestyle, As- service self-expression lifestyle, Pragmatic lifestyle, Convenience lifestyle, Self-development lifestyle, and Leisure-oriented lifestyle. Especially in the categories of Convenience lifestyle, If-oriented lifestyle and Positive Self-expression lifestyle, the younger generation ranked higher than their parents. The most important factors in housing choice may be divided into eight sub-categories. Among them are economic factors, housing amenities, housing design, distance from parents and children, social and environmental qualifies, and distance from work place and school. The two generations differed over the importance of the factors. The younger generation particularly valued the factors of distance from parents and children, housing amenities, housing design.

• Journal of Families and Better Life
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• v.34 no.1
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• pp.13-32
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• 2016

The goal of this study was to determine the effect of social responsibility characteristics and consumer attitude on consumer purchasing intention. And we used survey result data from 400 adults (200 males and 200 females) aged between 20 and 50 years for our research sample. Also, this study aims to look at the purchasing intention based on Fishbein's attitude model, in order to predict consumer purchasing behaviors on the products made by corporations that have good social responsibility. By using consumer consciousness of social responsibility and Consumer assessment on corporations' social responsibility, this study also intends to examine the ultimate effects on the intention. The following is a summary of the main results and suggestions. First, less than 30 percent of all consumers have experienced education on social responsibility, which is significantly low. Consumers' education experience had no effects on consumer purchasing intention. Consumers' education experience on social responsibility is surely related to purchasing intention, but gives no meaningful relations from the actual proof analysis, which is because of the problems of current consumer education programs. Government and official institutions, corporations, consumer groups should provide more educational opportunities than broadcast media, internet, school, and printed media. Second, according to the analysis result on Consumer consciousness of social responsibility, the assessment scores on social contribution and environmental protection are relatively lower than on consumer protection and energy resource saving. They tend to focus more on social responsibility related to individual interest rather than broader social responsibility as a member of society. Third, consumers have a positive attitude about corporation and its products made by corporations that have good social responsibility. Fourth, the most contributing factor on consumer purchasing intention is corporate consumer attitude. The next is product consumer attitude, Consumer consciousness of social responsibility, and Consumer assessment on corporations' social responsibility.

• Journal of the Korean Society of Marine Environment & Safety
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• v.18 no.1
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• pp.15-24
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• 2012

This study aims to investigate characteristics of water quality factors by using survey results of national marine environmental monitoring system from 2004 to 2010 at coastal area of the East Sea of Korea. In this study, we chose statistical methods to analyze the correlation among water quality parameters and principal component analysis for characteristics of each water environment. In addition to this, we evaluated each water's pollution level based on eutrophication standard of OECD, Eutrophication Index(EI), and Organic Pollution Index(OPI). Major factors were chlorophyll a and salt according to the analysis at coastal area of the East Sea. The sea was divided into the south and the central part by Jukbyeon. Also, Jukbyeon in the central part of the East Sea and Gampo in the southern sea coastal waters have been classified separately. The nutritional status of coastal area of East Sea presented Mesotrophic to Oligotrophic level and EI showed less than 1. OPI in all of the coastal area at the East Sea represented that the water quality condition was favorable.

• International Journal of Naval Architecture and Ocean Engineering
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• v.11 no.2
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• pp.782-795
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• 2019

Safety is always acritical focus of exploration of ocean resources, and it is well recognized that human factor is one of the major causes of accidents and breakdowns. Our research developed a dynamic human reliability assessment approach, Predicted Mean Vote-Cognitive Reliability and Error Analysis Method (PMV-CREAM), that is applicable to monitoring the cognitive reliability of oceanauts during deep-sea missions. Taking into account the difficult and variable operating environment of manned submersibles, this paper analyzed the cognitive actions of oceanauts during the various procedures required by deep-sea missions, and calculated the PMV index using human factors and dynamic environmental data. The Cognitive Failure Probabilities (CFP) were calculated using the extended CREAM approach. Finally, the CFP were corrected using the PMV index. This PMV-CREAM hybrid model can be utilized to avoid human error in deep-sea research, thereby preventing injury and loss of life during undersea work. This paper verified the method with "Jiaolong" manned submersible 7,000 m dive test. The"Jiaolong" oceanauts CR(Corrected CFP) is dynamic from 3.0615E-3 to 4.2948E-3, the CR caused by the environment is 1.2333E-3. The result shown the PMV-CREAM method could describe the dynamic human reliability of manned submersible caused by thermal environment.

• Korean Journal of Environment and Ecology
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• v.32 no.2
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• pp.225-230
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• 2018

The purpose of this study was to explore visitors' experiences based on two different types of ecological sites: natural and artificial ecological sites. Specifically, this study aimed to analyze the differences in the perceived experiences and satisfaction according to the perception of the visitors to the ecological sites. First, the analysis of measurement factors of visitor experience perception identified four factors such as ecological experience, environment friendliness, sociality, and relaxation. The comparison of perception according to the factor of visitor experience showed that there were significant differences between natural and artificial ecological sites and that the perceived visitor experience was generally higher in the natural ecological sites. The result of the analysis of the influence of the perceived visitor experience to ecological sites on visitor experience showed the relaxation had the largest influence for both natural and artificial ecological sites. The ecological experience and environmental friendliness also had a significant impact on visitor satisfaction in the natural ecological sites and artificial ecological sites, respectively. This paper also discussed the implications for planning and management issues at ecological sites.

• Journal of Conservation Science
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• v.26 no.4
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• pp.385-395
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• 2010

This study aimed to identify weathering factors and to assess the conservation environment through microclimatic analysis of Hyeonpung Seokbinggo (ice-storing stone warehouse). The stone blocks inside Seokbinggo suffered crack, displacement, break-out, exfoliation, efflorescence, brown and black discoloration, and biological colonization. Biological colonization represented the maximum deterioration rate(24%) among those weathering forms. The indoor microclimate showed parallel patterns with outdoor one, but the indoor temperature and relative humidity ranged far narrower than outdoor and remained steady. The environmental characteristics resulted from blocking-out of outdoor heat by the closed entrance and surrounding microtopography. This prevented water condensation and freezing effects, so that it reduced physical deterioration of rock, and maximized ice-storing effect for long time. However, contrary to positive effect, extremely high relative humidity over 99% accelerated biological colonization inside the Seokbinggo.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.35-45
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• 2017

This study aims to explore the effect of quality factors and learning styles on users' satisfaction in e-Learning context. For this purpose, statistical methods such as reliability test, factor analysis, ANOVA, regression analysis were carried out using the survey data from university students. The quality factors of e-Learning were classified into contents, system, service, and interpersonal activities while learning styles were classified into positive-cooperative, self-directed, environmental-dependent, and passive styles. The results showed that each quality factors of e-Learning has a strong positive effect on user satisfaction, and self-directed group has higher satisfaction than other groups. Learning styles have moderating effects on the quality-satisfaction relationship, and especially, the group of passive learning style has a strong moderating effect on the interpersonal activities. Theoretical and practical implications and future research directions are drawn from these findings.

• Journal of the East Asian Society of Dietary Life
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• v.24 no.5
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• pp.572-584
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• 2014

The purpose of this study was to investigate the levels of recognition, practice and information acquisition behaviors regarding food additives of university students for development of educational programs. The data were collected from 283 students in the Yeungnam region through a self-administered questionnaire. The level of concern about food additives was intermediate. The level of checking labels for food additives when buying processed foods was not high. The main reason for not checking labels for food additives was "Buying the special brand products repeatedly". In the factor analysis for perception of food additives, three factors were categorized; effect of food additives on human health, administration and regulation of food additives, and necessity of food additives. According to regression analyses, grade, concern about food additives and perception of amount of food additives had significant effects on human health. The significant variables for administration and regulation of food additives were gender, grade, major, monthly allowance and concern about food additives. In addition, major was a significant variable for the necessity of food additives. Many respondents did not reduce intake of food additives; males did less than females. Most respondents answered they did not acquire sufficient information about food additives. Regarding needs for information content on food additives, respondents wanted information about safety of food additives the most, followed by items of labels for food additives, and ways to reduce intake of food additives.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.183-185
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• 2015

Recently, big data analysis based on machine learning has gained popularity and many machine learning techniques have been applied to the field of agriculture. By using machine learning technique to analyze huge number of samples of biological and environmental data, new observations can be found. In this research, we consider the estimation of proportional daily weight increase (PDWI) based on measurement data from experimental swine farm. In order to derive the exact formulation for PDWI estimation, we have used measured value of mean, daily maximum, daily minimum of temperature, humidity, CO2, wind speed and measured PDWI values. Based on collected data, we have derived equation for PDWI estimation using tree-based algorithm. In the derived formulation, we have found that the daily average temperature is the most dominant factor that affects PDWI. Our results can be applied to pig farms to estimate the PDWI of swine.