• Asia pacific journal of information systems
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• v.13 no.2
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• pp.87-104
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• 2003

Though much attention has been paid to offer various multimedia services by many online service providers, the study on consumer behavior of online information service users are yet to be further explored in various aspects. This study develops a mathematical model for analyzing online consumer's usage patterns, contrasted to the existing media selection theory and flow concept about usage behavior of information services. We demonstrated using some case examples that online information consumption can be viewed not only as a cognitive behavior interacting with online media, but also as an economically rational behavior depending on consumer's perceived cost and time spending. The results obtained in this paper will surely serve as a theoretical foundation for justifying the consumer's behavior and WTP (willingness to pay) for various online contents consumption empirically.

• Journal of the Korean Society of Costume
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• v.50 no.6
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• pp.143-153
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• 2000

The purpose of this study was to find out the relationship among the frequency of perfume usage and perfume attitude. perfume consuming behaviors and demographies. The data were collected from 352 female college students using questionnaire. Three groups including Large amount users(30.1%), Medium amount users(33.8%), and Small amount users(36.1%) were identified by the frequency of perfume usage. The results were summarized as follows : 1. There were significant differences on perfume attitudes and perfume consuming behaviors among the three groups. The more they use perfume, the more they feel pleasure and self-confidence. Most subjects preferred overseas prestige and popular perfume. And they obtained perfume informations through magazine ads and article. 2. There were significant differences demographic characteristics among the three groups. The older and the higher social status frequently used perfume. This study will provide useful marketing data and implications for activation of domestic perfume market.

• Journal of Internet Computing and Services
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• v.24 no.2
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• pp.57-66
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• 2023

Currently, a new energy system is emerging that implements consumption reduction by improving energy efficiency. Accordingly, as smart grids spread, the rate system by timing is expanding. The rate system by timing is a rate system that applies different rates by season/hour to pay according to usage. In this study, external factors such as temperature/day/time/season are considered and the time series prediction model, LSTM, is used to predict energy power usage data. Based on this energy usage prediction model, energy usage charges are reduced by analyzing usage patterns for each device and transferring power energy from the maximum load time to the light load time. In order to analyze the usage pattern for each device, a clustering technique is used to learn and classify the usage pattern of the device by time. In summary, this study predicts usage and usage fees based on the user's power data usage, analyzes usage patterns by device, and provides customized demand transfer services based on analysis, resulting in cost reduction for users.

• KIEAE Journal
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• v.10 no.4
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• pp.45-50
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• 2010

This study for middle school facilities is second following the study of the energy consumption of primary school facilities. There is not on the analysis of the current energy usage for middle school facilities in nations to set goals of energy reduction. Therefore, The purpose of this study is to present various analysis result of energy consumption which is a statistical analysis of domestic middle school facilities in South Korea. As a consequence, each average energy consumption at the domestic middle school facilities analyzed as following after changing as unit 'kWh' only for comparison with every energy source. It represents that the energy consumption of electric power was 183.7MWh(70.2%), gas consumption for heating was 46.5MWh(17.8%), oil consumption was 26.5MWh(10.1%), district energy was 5.1MWh(1.9%). This result describes that consumption of electric power was large greatly and it reflects the expectation that it will climb the demand regarding this energy in the future. In additionally, it analyzed average energy consumption with $74.4kWh/m^2$ by the unit area of air-conditioning and the district which has large energy consumption was Seoul with $91.6kWh/m^2$.

• Journal of ILASS-Korea
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• v.22 no.2
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• pp.47-54
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• 2017

$CO_2$ emission regulation will be prescribed and main issue in automotive industry. Mostly, vehicle's fuel efficiency deeply related to $CO_2$ emission is regulated by qualified driving test cycle by using chassis dynamometer and exhaust gas analyser. But, real driving fuel consumption rate depends so much on the individual usage profile and where it is being driven: city traffic, road conditions. In this study, vehicle model of fuel consumption rate for ICEV and PHEV was developed through co-simulation with CRUISE model and Simulink based on driving control model. The simulation results of fuel consumption rate were analysed with on-road vehicle data and compared with its official level.

• Asia Marketing Journal
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• v.19 no.1
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• pp.35-54
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• 2017

Researchers in marketing, sociology, and economics have been interested in the role of social interactions in consumer choice and consumption behaviors. Social interactions, labeled variously as peer effects, social contagion, and neighborhood effects, have important implications for firms' allocation of marketing efforts. In this research, we test and provide empirical evidence for peer effects in consumers' service usage in the context of gym-going behaviors. Using a detailed individual-level membership and attendance data at one of the largest health club chains in the U.S., we document that a focal member's gym-going behavior is influenced by the behaviors and characteristics of the peers at the same branch

• Proceedings of the Korean Institute of Building Construction Conference
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• 2014.05a
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• pp.280-281
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• 2014

Recently, it is certain that the increase of heating and cooling energy consumption by radical change in climate condition has caused serious problems related to environmental and energy concerns associated with increase of fossil fuel usage and carbon dioxide production as well as global warming. Therefore, various actions to reduce greenhouse gas and energy consumption have been prepared by world developed countries. The energy consumption by buildings approximately reaches 25% of total korea energy consumption. The greatest part in the buildings of the energy consumption is building facade. But a few research projects on concrete comprising more than 70% of outsider of buildings has been tried. This research is structural insulation concrete what improved insulation performance using micro form admixture and calcined diatomite powder and lightweight aggregate.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.59-68
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• 2019

To continue the growth of use of 5-star hotels by Koreans, who have recently shown the consumption trends pursuing the empirical value of a consumption process, and have turned into core customers of 5-star hotels in Seoul, it is necessary to study factors of experience value pursued by Koreans. As a result, fantasy is identified as a major leading factor in usage satisfaction among experiencial values. So it is important to reflect special concepts and atmospheres for emotional values, such as other world experience, new experience, and high-quality experience. And consumer return on investment was identified as a leading factor in positively affecting usage satisfaction. So it is important to develope a proper products that can enough benefits with reasonable prices. In the relationship between usage satisfaction and continuous usage intention, gender characteristics and occupational characteristics were found to play a moderating role. Male customers, and those with professional and self-employed occupations, were found to have higher continuous usage intention than females and other occupational customers. This is a result of the fact that customers with an economical power are likely to be continuous repeat customers of 5-star hotels, so the necessity of strengthening marketing activities such as research on the development of more differentiated and specialized products, service creation and atmosphere production for excellent consumers group.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.1
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• pp.35-57
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• 2021

Fog computing aims to provide the solution of bandwidth, network latency and energy consumption problems of cloud computing. Likewise, management of data generated by healthcare IoT devices is one of the significant applications of fog computing. Huge amount of data is being generated by healthcare IoT devices and such types of data is required to be managed efficiently, with low latency, without failure, and with minimum energy consumption and low cost. Failures of task or node can cause more latency, maximum energy consumption and high cost. Thus, a failure free, cost efficient, and energy aware management and scheduling scheme for data generated by healthcare IoT devices not only improves the performance of the system but also saves the precious lives of patients because of due to minimum latency and provision of fault tolerance. Therefore, to address all such challenges with regard to data management and fault tolerance, we have presented a Fault Tolerant Data management (FTDM) scheme for healthcare IoT in fog computing. In FTDM, the data generated by healthcare IoT devices is efficiently organized and managed through well-defined components and steps. A two way fault-tolerant mechanism i.e., task-based fault-tolerance and node-based fault-tolerance, is provided in FTDM through which failure of tasks and nodes are managed. The paper considers energy consumption, execution cost, network usage, latency, and execution time as performance evaluation parameters. The simulation results show significantly improvements which are performed using iFogSim. Further, the simulation results show that the proposed FTDM strategy reduces energy consumption 3.97%, execution cost 5.09%, network usage 25.88%, latency 44.15% and execution time 48.89% as compared with existing Greedy Knapsack Scheduling (GKS) strategy. Moreover, it is worthwhile to mention that sometimes the patients are required to be treated remotely due to non-availability of facilities or due to some infectious diseases such as COVID-19. Thus, in such circumstances, the proposed strategy is significantly efficient.

• Journal of The Korean Society of Agricultural Engineers
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• v.58 no.1
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• pp.73-80
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• 2016

The aim of this study is to analyze the contribution of regional water resources through the gap between water used for rice production and water used for consumption. The blue water use for rice production and for consumption was quantified and the regional blue water flows were estimated using the virtual water concept from 1995 to 2010. About $1134.4Mm^3/yr$ of blue water flowed among the provinces and metropolises of Korea, and about 28.5 % of total blue water flows came from Jeonnam province. In addition, blue water usage for rice was classified into three categories: water for production, internal consumption, and overproduction in each region. In Jeonnam, $633.8Mm^3/yr$ of blue water totally used for rice production, and 50.9 % and 15.5 % were used for external and internal rice consumption, respectively. The other 33.6 % was used for over production of rice for food security. This study assumed the blue water flows depended on the gap between virtual water use for rice production and consumption. However, the analysis of regional blue water usage and flows might show the importance of other region's water resources, and make policy decision-makers aware of the integrated water management among the regions.