• Journal of information and communication convergence engineering
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• v.14 no.1
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• pp.9-13
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• 2016

With the introduction of the data-oriented plan for LTE service, one may concerned with the background of the ISP's policy in charging for LTE services. In this work we investigate the latest usage patterns of voice and data applications for customers over the current mobile network, via which we investigate why mobile operators introduced data-oriented plans. To be specific, we collected the real-field data for the volume of voice and data traffic from the LTE network before the data-oriented plans were introduced. From the collected data we compute the absolute volume as well as the proportion of voice and data applications. From these observations we infer mobile operators' reasoning behind the decision to introduce data-oriented plans with unlimited voice calls over the mobile network.

• Journal of the Korean Home Economics Association
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• v.33 no.4
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• pp.289-300
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• 1995

The purpose of this study was to suggest usage that all family members could find satisfaction in the way to use furniture and living room. First of all, methods of research for this purpose were to grip on the points of difference and sameness on the attitude and the actual condition about furniture usage and living room between housewives and woman university students. To make analysis the data, frequency, $\chi$2-test, t-test, F-test and factor analysis were used. The major results are as follows ; 1. There were significant differences in the using time, time zone and life behavior in living room. 2. In furniture usage, housewives and woman university students have significant differences. 3. According to the results of making investigation into degree of satisfaction abut furniture and living room usage, housewives and woman university students have significant differences.

• The Journal of Korean Association of Computer Education
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• v.19 no.5
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• pp.55-71
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• 2016

Recently, Internet addiction problem has arised due to increasing negative effects about excessive internet use among youth. In this study, by utilizing the '11th youth health behaviors online survey data', we discuss the countermeasures for excessive internet usage of adolescence based on various analysis. we examined the effects of demographic characteristic factors, psychological factors, behavioral factors on internet usage of adolescence. As a result, it was confirmed that there were various variables that influenced adolescent internet usage which were not approached in previous researches. And through these results, we can confirm these variables. In addition, we can also provide countermeasures on excessive internet usages by that of adolescents.

• Journal of Environmental Science International
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• v.31 no.8
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• pp.707-713
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• 2022

This study aimed to comprehensively analyze the usage characteristics of children's parks according to location in Gangneung-si. Weekday and weekend, gender, time of stay, and usage behavior according to age group were analyzed and a video analysis of unmanned camera data for park management was conducted. On the average, the use of children's parks during spring and autumn was more than twice that during summer, and the use rate of children's parks located in old central districts by elderly people was relatively higher than the use rate of those located in housing development district. Overall, the usage ratio (24.6%) by elderly people was high, and their usage ratio (31.3%) in the morning period from dawn was significantly high. Among the usage behaviors, the rate at which dogs walk was analyzed to be somewhat high. As the usage ratio by elderly people is high with diverse usage behavior, it is necessary to provide complex functions to children's parks in the future.

• Journal of Information Technology Applications and Management
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• v.12 no.2
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• pp.163-184
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• 2005

The purpose of this research is to examine the major determinants affecting the usage and performance of information technologies in Daedeok Valley and Zhongguancun venture firms. The development of the research model is based on the theoretical linkages of IDT (Innovation Diffusion Theory) and TAM(Technology Acceptance Model). Seven hypotheses are derived and tested using regression analysis. The results from regression analysis suggest that the usage of Information technologies is affected by innovation characteristics (perceived usefulness) as well as organizational characteristics (top management support, employee capability on information technology acceptance) in Daedeok Valley venture firms. But, The results from regression analysis suggest that the usage of Information technologies is affected by innovation characteristics (perceived usefulness), organizational characteristics (top management support, employee capability on information technology acceptance), and external pressure (environmental uncertainty, intensity of competition) in Zhongguancun venture firms.

• 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.

• Asia pacific journal of information systems
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• v.11 no.3
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• pp.105-126
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• 2001

The objective of research is to find out exogenous variables that influence the usage and performance EDI in the Korea firms. Specifically the goals of this research are; (1) to examine relationships between exogenous variables, such as management, technology, inter-firm relationship characteristics, and EDI performance, and (2) to measure EDI volume, EDI diversity, EDI depth among Korea firms. The questionnaire consists of two versions; One for the EDI system managers and the other for the EDI users. The analysis of this study is designed as cross level to examine the causal relationship among variables in different analysis level. The reliability and validity of data was tested by explanatory factor analysis, Cronbach's alpha coefficient, confirmatory factor analysis, and correlation analysis. Also, the structural equation model(SEM) analysis was performed to test the usefulness of the model. The analysis results revealed that education level, IS growth, trust, support, power are major influential variables on the usage level and performance of EDI. Especially, persuasive power turned out to be more important than coercive power, and technical financial support from organizations was also found to be a significant variables.

• Journal of Korean Society for Quality Management
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• v.46 no.4
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• pp.797-820
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• 2018

Purpose: It is to seek for an appropriate cost rate analysis methodology of credit card value propositions in Korea. For this issue, it is claimed that methodologies based on probability distribution is more suitable than methodologies based on data-mining. The analysis model constructed for the cost rate estimation is called VCPM model. Methods: The model includes two major variables denoted as S and P. S is monthly credit card usage amount. P stands for the proportion of usage amount at special merchants over the whole monthly usage amount. The distributions assumed for P are positively skewed distributions such as exponential, gamma and lognormal. The major inputs to the model are also derived from S and P, which are E(S) and the aggregate proportion of usage amount at special merchants over the total monthly usage amount. Results: When the credit card's value proposition is general discount, the VCPM model fits well and generates reasonable cost rate(denoted as R). However, it seems that the model does not work well for other types of credit cards. Conclusion: The VCPM model is reliable for calculating cost rate for credit cards with positively skewed distribution of P, which are general discount card. However, another model should be built for cards with other types of distributions of P.

• Journal of the Korean Society of Clothing and Textiles
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• v.48 no.4
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• pp.688-706
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• 2024

This study investigated the effect of self-efficacy on the usage intention of the size recommendation services, exploring the mediating roles of perceived ease of use and perceived usefulness. Moreover, it examined the moderating effects of filtering types on these relationships. Data were collected from 200 participants between December 11 and 13, 2023, using virtual scenarios and stimuli. Mediating and moderating effect analysis were performed using a process macro. As a result of path analysis and indirect effect analysis between individual variables, it was confirmed that the direct effect of self-efficacy for the size recommendation services on usage intention, and the indirect effect on usage intention through perceived ease of use and perceived usefulness were significant. Furthermore, as a result of the moderating effect analysis, it was found that the moderating effect of the filtering types was significant in the relationship between self-efficacy and perceived ease of use, between perceived ease of use and perceived usefulness, and between self-efficacy and usage intention.

• Journal of Korean Library and Information Science Society
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• v.45 no.2
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• pp.5-27
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• 2014

This study aims to investigate the relationship between university library usage and educational achievement of academic library users. To proceed with this study, academic library usage data were collected from S university undergraduate students. Academic achievement was measured using the students' grade point average(GPA). T-test and analysis of variance were used to compare differences of means between library usage and academic achievement with the background variables. Hierarchical regression analyses were conducted to determine the association between library usage and academic achievement. As a result, a positive correlation was found between academic achievement and the use of library resources and services according to gender, year and academic subject. In addition, academic library usage had a positive significant influence on academic achievement. Students who used more library resources and facilities ultimately get better grades.