• Journal of Korea Water Resources Association
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• v.41 no.6
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• pp.597-603
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• 2008

This paper estimates technical efficiency of industrial water in order to afford some information for improving the efficiency of government water management policy. To estimate technical efficiency, this paper uses data envelopment analysis. The result shows that the average pure technical efficiency of industrial water is 0.407. This estimate is less than the estimates when all inputs are considered as variables in the previous researches. This result means that the managers may have not tried to improve the efficiency of industrial water usage since the cost for industrial water is trivial compared to other inputs. In addition, this result shows that the previous researches which assume that all inputs are used in efficient way may give a biased results.

• Environmental and Resource Economics Review
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• v.25 no.2
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• pp.299-320
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• 2016

This study estimates an energy efficiency of 16 metropolitans and provinces in Korea, and measures potential energy-saving and carbon emission reduction using a non-radial data envelopment analysis method. Based on energy mix scenarios, this study also evaluates the impact of changes in energy structural adjustment on a regional environmental performance. The empirical results show that, on average, 12.70% of energy consumption and 13.73% of carbon emission can be reduced by improvement in energy efficiency, and low efficiency of oil usage in metropolitan cities is a major source of the inefficiency. Furthermore, it is found that energy mix policy should be considered to achieve an extra energy-saving and carbon reduction.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.283-288
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• 2016

This research is to study IoT based implementation of system and network for medical information processing. This paper's configuration environment consists of sensor node, gateway and server node as a basic IoT architecture. Medical terminal as a sensor node asks connect request to his server, and the server accepts the request if the medical device is already registered. Wearable medical device sends its collected sensing data to server, and server processes the received data for data visualization or saves them for usage in the future. This paper describes overall processes and their algorithms and suggests their software processing architecture.

• Journal of Information Technology Services
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• v.21 no.5
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• pp.81-94
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• 2022

This study sets the research goal of reducing energy consumption which 'H' University Industry-University Cooperation Foundation and resident companies are concerned with, as well as conducting policy research and data analysis. We tried to present a solution to the problem using the technique. The algorithm showing the greatest reliability in the power of the model for the analysis algorithm of this paper was selected, and the power consumption trend curves per minute and hour were confirmed through predictive analysis while applying the algorithm, as well as confirming the singularity of excessive energy consumption. Through an additional sub-sensor analysis, the singularity of energy consumption of the unit was identified more precisely in the facility rather than in the building unit. Through this, this paper presents a system building model for real-time monitoring of campus power usage, and expands the data center and model for implementation. Furthermore, by presenting the possibility of expanding the field through research on the integration of mobile applications and IoT hardware, this study will provide school authorities and resident companies with specific solutions necessary to continuously solve data-based field problems.

• Journal of Digital Convergence
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• v.6 no.2
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• pp.135-143
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• 2008

The remarkable growth of the Internet since mid-l990s has expanded the e-learning market and brought the transformation of educational environments and methodology. It can be said that the e-learning has changed the educational paradigm. Korean government is firmly determined to support the diffusion of e-learning because of the benefits of e-learning. People seem to accept the e-learning when its contents have high quality. A lot of research have been conducted on e-learning, however, it was mostly about user's usage intention, satisfaction and educational effect. It can't seem that sufficient research efforts have been put into figuring out the role of e-learning contents quality in the expansion of e-learning. In this paper, we present the empirical study on the influence of e-learning contents quality on user's satisfaction and educational effect. We conducted an questionnaire survey on college students to collect data and found that the quality of e-learning contents has significant influence on the users' satisfaction.

• Journal of Information Technology Applications and Management
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• v.21 no.1
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• pp.1-16
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• 2014

Cyberloafing is as counterproductive behavior because it is the act of using internet for personal purposes which can affect employees' productivity, especially when done excessively (more than 4 hours a week). The objective of this study was to analyze whether gender and education level had significant effect on cyberloafing among generations in the workplace. From 267 respondents, gender was not found to have impact on cyberloafing because female and male respondents had the same frequency of low level cyberloafing. However, female had higher excessive cyberloafing than male. Gen Y had significant impact on the relationship between education and cyberloafing but Gen Y with diploma degree was revealed to have excessive cyberloafing. Furthermore, Gen X had started combining professional and personal lives throughout their daily lives. Hence, organizations should foster a culture of hard work by giving challenging job with clear target and worthy incentive but still implementing internet usage policy.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.5
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• pp.877-892
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• 1996

The purpose of this was to test the interactive effects of usage situation and personal characteristics on perceived risk, importance of store attributes and store-type choice. The data were collected via a questionnaire from 601 housewives of ages 20's∼ 50's living in Seoul, Korea, and analyzed by factor analysis and repeated measure two-way ANOVA. The results of this study were as follows: First, the interactive effect of age and situation on economic risk was significant. Second, the significant infraction of age and situation on importance of product price/variety was found, and there were significant intractions of education and situation on importance of service/convenience, discount policy and product information sources/promotion. Third, the interactive effects of situation and personal characteristics (age, income, education or job) on store-type choice (brand chain store, discount store, department store, designer boutique, local store or a wholesale market) were significant.

• Journal of Digital Convergence
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• v.9 no.1
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• pp.37-49
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• 2011

The purpose of this study is to develop a new equipment acceptance model in the industrial market and test it empirically using a field survey. To define new equipment acceptance factors of employees in the organization, we used the TAM as a useful model to analyze the acceptance process of new equipment. All of the data for the TAM were collected from the employees. Prior research studied the usage of general information technology using a computer and particular software, while we apply the TAM to the new equipment adoption. In this study, both theoretical review and empirical study were conducted and the model was set through the theoretical study which was tested through the empirical analysis. Management support and training/education were shown to have a positive effect on PU and PEOU. Personal innovativeness, management support, perceived usefulness and perceived ease of use were shown to have a positive effect on behavioral intention.

• Journal of the military operations research society of Korea
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• v.9 no.2
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• pp.23-30
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• 1983

A simulation study was conducted to determine optimum capacity of Navy drydock facility using GASP-IV, an advanced FORTRAN-based simulation language, under demands of regular overhauls and emergency repairs by ships of an hypothetical fleet composition. Three year dock usage data was analyzed to produce probability distributions underlying drydock repair demands. The present facility size of two drydocks was simulated and was found to be somewhat short of adequate service capability, showing excessive average waiting time and average queue length. The simulation model was then modified to include an additional drydock of similar size as the other two and a year's simulation was again conducted. All repair needs were quite satisfactorily met and all docks showed very high utilization factor (0.98). This contributed to an increase in the fleet's ship availability from 0.95 to 0.99. This study illustrates the usefulness of simulation technique as a tool for analyzing policy alternatives in military long-term investment areas.

• Journal of Information Technology Applications and Management
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• v.24 no.2
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• pp.81-96
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• 2017

Forecasting long-term mobile service demand is inevitable to establish an effective frequency management policy despite the lack of reliability of forecast results. The statistical forecasting method has limitations in analyzing how the forecasting result changes when the scenario for various drivers such as consumer usage pattern or market structure for mobile communication service is changed. In this study, we propose a dynamic model of the mobile communication service market using system dynamics technique and forecast the future demand for long-term mobile communication subscriber based on the dynamic model, and also experiment on the change pattern of subscriber demand under various scenarios.