• Journal of the Korean Society for Geothermal and Hydrothermal Energy
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• v.7 no.1
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• pp.65-71
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• 2011

Recently, central and local governments of Korea have established and implemented various energy policies such as making energy map of city level and establishment of environment friendly city plan to materialize low carbon green city. To implement effectively these policies, however, conditions of energy consumption by each administrative district and each usage have to be verified exactly. This study is aimed to suggest a basic data for planing energy policy and energy demand prediction of city level by analyzing energy consumption unit and conditions of city gas by borough and usage in Busan.

• International Journal of Advanced Culture Technology
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• v.6 no.4
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• pp.179-189
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• 2018

In the era of the Korean Wave 4.0, it is essential to investigate how social media usage influences Korean media consumption and then affects the future intention to consume K-Culture products. This study showed that the path of social media usage- Korea-related knowledge- Korean media consumption- the future intention to consume K-Culture products did not exist, and that the path of social media usage- Korea-related knowledge- the future intention to consume K-Culture products occurred. The implications and limitations were discussed.

• Journal of Distribution Science
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• v.12 no.8
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• pp.123-132
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• 2014

Purpose - Recently, Korean companies have been struggling to perform well in the larger smartphone market in China, which is regarded as a blue ocean area. First, it is very important to accurately understand the Chinese consumers, who have a different consumption culture and value system from the Korean culture and system. This would help to identify priorities for the Chinese market. Further, considering the smartphone industry, where technological change is rapid, Korean companies will need to take prompt measures about market trends in order to establish strong competitiveness. Consequently, this study focused on analyzing the relationship between the variables of consumption value, satisfaction, and loyalty in the Chinese smartphone market. The principal dimensions of consumption value, which smartphones have, was analyzed, and the influence on satisfaction was identified. Moreover, the relationship among the variables of satisfaction, attitudinal loyalty, and behavioral loyalty was empirically analyzed. Research design, data, and methodology - This study examined the relationships between various consumption values (functional value, emotional value, social value, epistemic value, and economic value), along with satisfaction and loyalty. The data were collected through a questionnaire survey that was circulated to 310 customers who were users of smartphones in Chingdao and Yeontae regions in China. The survey was conducted from June 23 to August 4, 2013. A total of 301 responses to the questionnaires were collected and used for the data analysis. Moreover, a path analysis based on Lisrel 8.54 was used for the hypothesis test. Results - The variables of functional value, emotional value, social value, and epistemic value were revealed to have positive effects on satisfaction related to smartphone usage. However, the variables of monetary cost and psychological cost were not found to have negative effects on satisfaction related to smartphone usage. Moreover, satisfaction positively influenced attitudinal loyalty related to smartphone usage, but did not have a significant influence on behavioral loyalty related to smartphone usage. Specifically, satisfaction is essential, but not a sufficient condition for building behavioral loyalty in relation to smartphone usage. In addition, attitudinal loyalty positively influenced behavioral loyalty in relation to smartphone usage. Conclusions - First, this study shows that functional value, emotional value, social value, and epistemic value in relation to smartphone usage are important for marketing in the Chinese smartphone market. Particularly, functional value and emotional value play pre-eminent roles as regards customer loyalty in the use of smartphones. Second, the results of this study reveal that the variables of monetary cost and psychological cost are not important to the Chinese consumers. Specifically, the smartphone price and cognitive effort are not perceived as value barriers. Third, satisfaction did not guarantee behavioral loyalty in relation to smartphone usage, and the strategic approach for improving the repurchase and referral action in relation to smartphones based on solid attitudinal loyalty would be desirable and should be the focus of the marketing activities of Korean smartphone companies.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.11
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• pp.1536-1541
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• 2018

For effective electricity consumption in urban railway station such as peak load shaving, it is important to know each electrical load pattern by various usage. The total electricity consumption in the urban railway substation is already measured in Korea, but the electricity consumption for each usage is not measured. The author proposed the deep learning method to estimate the electrical load pattern for each usage in the urban railway substation with public data such as weather data. GRU (gated recurrent unit), a variation on the LSTM (long short-term memory), was used, which aims to solve the vanishing gradient problem of standard a RNN (recursive neural networks). The optimal model was found and the estimation results with that were assessed.

• KIEAE Journal
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• v.15 no.2
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• pp.103-107
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• 2015

Purpose: Since September 1st, 2013, subjects of the evaluation have been expanded, and the evaluation standard has been detailed to enable Building energy rating system for all buildings. Accordingly, the new evaluation program (ECO2) has been developed, and therefore, apartment applied after September 1st, 2013 were evaluated with the new evaluation program. Therefore, this research suggests the improvement plan to figure out reasons for the evaluation result calculation and to calculate the evaluation results close to the actual energy usage by analyzing and comparing primary energy consumption as a result of the new evaluation program (ECO2) and actual heating energy usage on the same building. Method: When comparing evaluation results of the new evaluation program (ECO2) and actual heating energy usage, the tendency was similar but different. Also when comparing seasonally, the tendency was similar, but the different between actual heating energy usage and primary energy consumption during winter is greater than during spring or fall, and when comparing seasonal electric usage, heating alternatives were used through increased electrical usage during winter compared to during spring or fall. Result: Therefore, when evaluating apartment with the new program (ECO2) in the future, evaluation items relevant to the use of heating alternatives should be added, and the modification factor should be added according to the region. Based on the evaluation results of the research and actual energy usage, the Modification factors of the central part and the southern part were calculated respectively as 0.5 and 0.8.

• Korea Science and Art Forum
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• v.19
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• pp.561-568
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• 2015

A lot of electrical energy is used in our daily life. While energy saving concerns are overall, consumption practices of people in general are very different. People want to control their energy use and by knowing the amount of energy they use. Smart plug is a new device that measures electricity usage through each plug at an outlet with on/off control. User experience for electrical devices in regards to electricity usage should be newly designed. In this study, based on the survey, personas have been devised and their energy use experience in relation with smart plugs have been designed. Service models have been designed as well. By designing service with smart plug, user could enhance the experience of energy usage and saving and energy consumption practices could be improved in a sustainable manner.

• Journal of Nutrition and Health
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• v.27 no.3
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• pp.236-252
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• 1994

This survey was accomplished to investigate the patterns of vitamin/mineral supplements usage in the middle-aged. Eight hundred seventy two persons of middle age were chosen from various cities and rural communities in Korea. In this study, those factors affecting vitamin/mineral supplements consumption, and usage patterns were examined. In addition, vitamin and mineral intakes through supplements were calculated, and then compared with RDA. As a result, vitamin/mineral supplements were taken by 40.8% of subjects. The higher the age, education level, family income and socioeconomic status were, the higher the percentage of supplements consumption was. City-dewellers used them more often than rural-dewellers. And vitamin/mineral supplements were taken frequently in subjects who perceived their health as poor, and concerned much about health. Illness and climacteric symptoms were also related with elevated usage. However, nutritional knowledge and food habit did not affect supplements consumption. Users mostly received information about supplements from TV/radio/newspapers, of family/friends. One of the mainly cited reasons for taking supplements, next to ' to give energy', was 'to be healthier'. The four most favored supplements, in ranking order, were vitamin B-complex, vitamin E, vitamin A and Ca. Most vitamin and mineral intakes through supplements were much greater than RDA except Ca. Especially, vitamin B1 intake was the highest as 49.6$\pm$34.9 times of RDA. In conclusion, vitamin/mineral supplements used by the middle-aged in Korea was as high as those of western countries. Supplements consumption seemed to be related with affluence, poor health status, and high level of health consiousness. And supplements tended to be taken for health promotion irrespective of scientific background. Most vitamin and mineral intakes by supplements were exceeded RDA, and their intake ranges were very wide. Thus some subjects should give attention to the potential harms of megadose.

• Journal of Korean Clinical Nursing Research
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• v.17 no.3
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• pp.455-466
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• 2011

Purpose: The purpose of this study was to investigate the effects of a structured preoperative PCA education on the knowledge and attitude regarding PCA usage, level of pain, and the consumption of analgesics after operation for colorectal surgery patients. Methods: This study was conducted from 18 Feb to 2 May, 2008. Participants were 80 colorectal cancer patients who would use the IV-PCA after colorectal surgery in a cancer hospital in Gyeonggi-do, Korea. Two groups, experimental and control were consisted of 40 patients each. The 20-minute structured education regarding PCA usage was applied to each patient individually in the experimental group but only the routine anesthetic consultation was given to each patient in the control group the day before the surgery. The SPSS/PC 10.0 program was introduced to analyze the collected data on frequency, percentage, mean, standard deviation, $x^2$-test, t-test and paired t-test. Results: The experimental group with the structured preoperative PCA education showed higher knowledge and more positive attitudes regarding the PCA usage than the control group. Also the experimental group showed better pain control and lower consumption of analgesics at 4, 8 and 24 hours after than the control group. Conclusion: The structured preoperative PCA education is an effective nursing intervention for improving the knowledge and attitude of the colorectal surgery patients on the PCA usage, and enabling the patient to take the analgesic more effectively with lower consumption, while reducing the patients' pain after operation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.8
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• pp.2490-2506
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• 2022

In Mobile Edge Computing (MEC), attackers can speculate and mine sensitive user information by eavesdropping wireless channel status and offloading usage pattern, leading to user privacy leakage. To solve this problem, this paper proposes a Privacy-preserving and Energy-efficient Offloading Algorithm (PEOA) based on Lyapunov optimization. In this method, a continuous Markov process offloading model with a buffer queue strategy is built first. Then the amount of privacy of offloading usage pattern in wireless channel is defined. Finally, by introducing the Lyapunov optimization, the problem of minimum average energy consumption in continuous state transition process with privacy constraints in the infinite time domain is transformed into the minimum value problem of each timeslot, which reduces the complexity of algorithms and helps obtain the optimal solution while maintaining low energy consumption. The experimental results show that, compared with other methods, PEOA can maintain the amount of privacy accumulation in the system near zero, while sustaining low average energy consumption costs. This makes it difficult for attackers to infer sensitive user information through offloading usage patterns, thus effectively protecting user privacy and safety.

• Journal of the Korean Society for Geothermal and Hydrothermal Energy
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• v.14 no.1
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• pp.8-15
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• 2018

The purpose of this study was to analyze the energy consumption according to the HVAC systems in 122 elementary schools. To do this, we classified schools according to the HVAC systems. Selected schools were classified to the following groups by the HVAC equipments: EHP, EHP and GHP together and GHP. In addition we divided schools by the number of classes. The main results are as follow: 1) Annual average energy consumption at schools was about 300~900(kWh/students), $30{\sim}50(kWh/m^2)$, 9,000~29,000((kWh/class) 2) The smaller schools, the higher the energy consumption per class; energy usage of 10~19 classes's schools were approximately 3 times higher than 40 classes's schools. 3) Schools where the EHP was installed had the lowest energy costs and energy usage. The difference in energy costs was lower than the difference in energy usage because of the fuel price and the ratio of energy sources.