• Human Ecology Research
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• v.61 no.2
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• pp.247-261
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• 2023

The purpose of this study was to examine the effect of consumer consumption behavior on sustainable consumption through social media and to verify the mediating effects of social connectedness on sustainable consumption. A survey comprising 222 men and women in their 20s and 30s was conducted in which their consumption expression behavior, sustainable consumption and social connectedness were measured. The results were analyzed using SPSS Process Macro Model 4 and it was found that consumers who shared a considerable amount of personal information on their lifestyle on social media as a means of self-expression exhibited a higher level of sustainable consumption. It also became apparent that the degree of consumption expression behavior had a positive effect on social connectedness and that social connectedness had a positive impact on sustainable consumption by mediating the degree of consumption-focused self-expression on social media. Based on these results, it was confirmed that social media can serve as a mechanism to lead consumers' consumption behavior beyond providing a basis for forming a human network. Implications for the impact of social media on consumption behavior were presented, and proposals for exploring the environment in which sustainable consumption can be activated were suggested, together with ways in which new media can be utilized. The findings from this study indicate that sharing consumption behavior and having a broad range of connections on social media can create an environment in which sustainable consumption is promoted.

• Food Science and Industry
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• v.49 no.2
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• pp.56-62
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• 2016

Although the production of chestnut in Korea is the second largest in the world, domestic consumption of chestnut is very limited. Furthermore, consumption of chestnut in Korea is highly dependent on export to Japan and China. Large amount of chestnut in Korea have been deteriorated and discarded during storage. In order to increase the consumption of chestnut in Korea, it is necessary to know the processing properties of chestnut and its starch. Additionally, through the various investigations such as modification treatment, it will be extended to utilization of chestnut. So far, there is a little information on the processing properties of chestnut; therefore, the expansion of research will bring results to increase the consumption of chestnut.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.4
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• pp.626-648
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• 2011

Energy consumption of wireless access networks is in permanent increase, which necessitates development of more energy-efficient network management approaches. Such management schemes must result with adaptation of network energy consumption in accordance with daily variations in user activity. In this paper, we consider possible energy savings of wireless local area networks (WLANs) through development of a few integer linear programming (ILP) models. Effectiveness of ILP models providing energy-efficient management of network resources have been tested on several WLAN instances of different sizes. To cope with the problem of high computational time characteristic for some ILP models, we further develop several heuristic algorithms that are based on greedy methods and local search. Although heuristics obtains somewhat higher results of energy consumption in comparison with the ones of corresponding ILP models, heuristic algorithms ensures minimization of network energy consumption in an amount of time that is acceptable for practical implementations. This confirms that network management algorithms will play a significant role in practical realization of future energy-efficient network management systems.

• Journal of Korean Society for Quality Management
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• v.42 no.1
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• pp.15-32
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• 2014

This study examines the relationship between tip amount and its possible antecedents: bill size, the Big Five personality types, meal type, food quality, atmosphere, service quality, consumer gender, server gender, customer hospitality experience, race, and alcohol consumption. A survey of southeastern undergraduate students was conducted to collect information about the customer, server and customer tipping habits. While the analysis suggests that service is an important factor, it shows that other factors affect tip amount. Furthermore, these factors affect tip amounts in many different ways. Some examples of these factors include bill size, alcohol consumption, gender dynamics, meal type, food quality, and personality type. The conclusion suggests the intuition behind these factors by providing a dissection of their meaning and their importance to servers, customers, and managers alike. Purpose: This study tests restaurant customer tipping habits and some personality traits that have received limited previous attention as predictors of tipping. Methods: This study is that the tip amount was self-reported, business students at a university in a large southeastern city of USA were asked to complete a tipping journal. Results: This study was able to replicate the service-tipping relationship. Moreover, this study reiterated that server friendliness is a very powerful tool to increasing tips. Conclusion: This study strongly indicate that service has a positive relationship with tip amount, and also produce a positive relationship with emotional stability and a negative relationship to conscientiousness.

• Transactions of the Korean Society of Automotive Engineers
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• v.12 no.1
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• pp.153-161
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• 2004

A vehicle fuel economy is one of the most important issues in view of environmental regulation and customer's needs. In order to improve the vehicle fuel economy, great efforts has been carried out on the components bases. However, systematic analysis of vehicle fuel consumption is necessary for the further improvement of vehicle fuel economy. In this paper, a methodology for the breakdown of vehicle fuel consumption was studied and proposed for systematic analysis of the vehicle fuel economy. The energy equation for the vehicle power train was set up for the analysis of the vehicle fuel economy and simplified to be calculated or estimated using the measured data in a vehicle. The amount of fuel that was used in vehicle components under arbitrary driving conditions was quantified.

• Korean Journal of Exercise Nutrition
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• v.16 no.2
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• pp.113-122
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• 2012

This study assessed the amount of energy consumed and fat deposition after endurance training in order to review the effect of 4-week endurance exercise on resting metabolic rate of a mouse during and after exercise and the effect of exercise. A total of 19 seven-week-old ICR male mice were used as the study subject. Those mice were divided into sedentary group (Sed) and trained group (Tr) after a week of environment adaption. The Tr group was trained with endurance exercise five times a week for four weeks. Weight and the amount of food intake were daily weighed and resting metabolic rate and metabolic rate after exercise were assessed before starting exercise and on the fourth week after training. Metabolic rate during exercise were measured four weeks after training. At the end of breeding period, statistically significant difference was shown in weights of trained and sedentary groups (p < 0.05). During a resting period, no significant difference was shown in oxygen intake, respiratory exchange ratio, and the amount of carbohydrate and fat oxidized. Moreover, no significant difference was shown in excess post-exercise oxygen consumption (EPOC) of an hour period after training. In contrast, the maximal oxygen uptake (VO₂ max) was approximately 11.1% higher in trained group after training compare to before. However, there was no significant difference in respiratory exchange ratio and carbohydrate and fat oxidization. During exercise, oxygen uptake, carbon dioxide production, and respiratory exchange ratio in energy metabolism during exercise showed no significant difference. However, significant difference was exhibited in the amount of fat oxidized in both groups. Summing up those results, endurance exercise could be concluded to be effective in weight control. However, weight loss is thought to be resulted from increase in fat oxidization during exercise unlike the conclusion made from previous studies where weight loss is prominently influenced by energy metabolism during a resting period and increased fat oxidation during post-exercise recovery. All experimental procedures were carried out at the Animal Experiment Research Center of Konkuk University. This study was conducted in accordance with the ethical guidelines of the Konkuk University Institutional Animal Care and Use Committee.

• Korean Journal of Community Nutrition
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• v.6 no.2
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• pp.162-171
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• 2001

This study was performed to investigate the relationship between obesity, health-related lifestyle, and dietary intake and serum lipid level in 96 male university students. Health-related lifestyle factors were obtained from questionnaires. Dietary intakes were evaluated with one-day 24-hr recall and two-day dietary record. Anthoropometric data were recorded and serum cholesterol and triacylglycerol concentrations were measured. 21.9%, 36.5%, 36.5%, and 6.2% of the subjects had levels beyond the normal range in serum total cholesterol(TC), HDL-cholesterol(HDL-C), LDL-cholesterol(LDL-C), and triacyglycerol respectively, and 57.3% of the subjects had more than one hyperlipidemic factor. TC was correlated positively with BMI(p〈0.01), waist length(p〈0.05), hip length(p〈0.05), and the amount of smoking(p〈0.05). HDL-C was correlated negatively with BMI(p〈0.05) and hip lenghth(p〈0.05). LTD-C was correlated positively with BMI(p〈0.01), water length(p〈0.05), hip length(p〈0.01), and coffee consumption(p〈0.05). TG was correlated positively with waist length(p〈0.01), waist-to-hip ratio(p〈0.05), and amount of smoking(p〈0.01) and negatively correlated with frequence of exercise(p〈0.05). Among nutrient intakes, only the ratio of protein to energy was correlated negatively with TC(p〈0.05). Logistic regression analysis revealed that BMI, waist length, hip length, waist-to-hip ratio, and amount of cigarette smoking were associated with an increased risk of hyper-TC. BMI, waist length, and hip length were associated with an increased risk of hypo-HDL-C. BMI and coffee consumption were associated with an increased risk of hyper-LDL-C. Amount of cigarette smoking was associated with an increased risk of hyper-TG. In conclusion, a high prevalence of hyperlipidemia in subjects was observed. Also obesity, smoking, and coffee consumption were observed to be highly with the risk of hyperlipidemia in subjects. These findings imply that these factors should be primarily considered in planing the nutrition education program for the prevention of cardiovascular disease in male university students.

• Nutrition Research and Practice
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• v.6 no.2
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• pp.146-154
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• 2012

The purposes of this study are to estimate the stress level of university students, and to verify the relationships between stress level and drinking behavior. A questionnaire survey was administered to 430 university students in the Gangwon area in Korea from November 5 to November 28, 2008, and data from 391 students were used for the final statistical analysis. The most stressful factor was "Worry about academic achievements" (2.86 by Likert-type 4 point scale). The subjects were divided into two groups, a low stress group (${\leq}65.0$) and a high stress group (${\geq}66.0$), by the mean value (65.1) and median value (66.0) of the stress levels. The drinking frequency was not different between the two stress groups, but the amount of alcohol consumption was significantly different ($P$ < 0.05). The portion of students reporting drinking "7 glasses or over" was higher in the lower stress group than in the higher stress group. In addition, factor 6, "Lack of learning ability", was negatively correlated with drinking frequency and the amount of alcohol consumption ($P$ < 0.05), and factor 3, "Worry about academic achievements", was negatively correlated with the amount of drinking ($P$ < 0.05). The major motive for drinking was "When overjoyed or there is something to celebrate" (2.62), and the main expected effect of drinking was "Drinking enables me to get together with people and shape my sociability" (2.73). The higher stress group showed significantly higher scores on several items in the categories of motives ($P$ < 0.01), negative experience ($P$ < 0.05), and expected effects ($P$ < 0.05) of drinking than the lower stress group. Our results imply that university students at the lower stress level may drink more from social motives in positive drinking environments, while those at the higher stress level may have more problematic-drinking despite their smaller amount of alcohol consumption.

• Communications for Statistical Applications and Methods
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• v.27 no.6
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• pp.589-602
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• 2020

The development of smart grids has enabled the easy collection of a large amount of power data. There are some common patterns that make it useful to cluster power consumption patterns when analyzing s power big data. In this paper, clustering analysis is based on distance functions for time series and clustering algorithms to discover patterns for power consumption data. In clustering, we use 10 distance measures to find the clusters that consider the characteristics of time series data. A simulation study is done to compare the distance measures for clustering. Cluster validity measures are also calculated and compared such as error rate, similarity index, Dunn index and silhouette values. Real power consumption data are used for clustering, with five distance measures whose performances are better than others in the simulation.

• Journal of the Korea Fashion and Costume Design Association
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• v.16 no.2
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• pp.177-188
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• 2014

A fur has emerged as one of fashion staples. there has been a rising interest in fur industry. Therefore, this study investigated how to estimate the amount of raw materials consumed at the production of fur clothes, and the scope of the study was limited to mink clothes. For an empirical study, in addition, Koreans' favorable mink design was chosen based on previous studies and sales of fur clothes, and its consumption was estimated. The consumption of mink clothes depends on the special feature of natural resources such as place of origin, gender and variety. Therefore the method of consumption for mink clothes is inevitably different from it of fiber clothes. Considering the procedure of mink clothe's production as collect same kind of a fur and process though pattern placement, first is outfut work for consumption. At estimation of the consumption of mink clothes, the number of minks was counted by matching the area of mink skin with that of the mink cloth patterns. Then, the usable area of the patterns was calculated after splitting them into diverse figures such as triangle, quadrangle and trapezoid. If we divide area by using the similar in shape of pattern and calculate, We can find high efficiency by reducing extra space. Specially we can expect more efficient work system when we use computers for efficient division of area.