• The Transactions of the Korean Institute of Electrical Engineers P
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• v.64 no.2
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• pp.85-91
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• 2015

With the increasing popularity of Smart Grid infrastructure, it is much easier to collect energy usage data using AMI (Advanced Measuring Instrument) from residential housing, buildings and factories. Several researches have been done to improve an energy efficiency by analyzing the collected energy usage data. However, it is not easy to store and analyze the energy data using a traditional relational database management system since the data size grows exponentially with an increasing popularity of Smart grid infrastructure. In this paper, we are proposing a Hadoop based Big data system to store and analyze energy usage data. Based on our limited experiments, Hadoop based energy data analysis is three times faster than that of a relational database management system based approach with the current system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.8
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• pp.1560-1566
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• 2017

Recently, accumulation of data on pig farm is enabled through the wide spread of smart pig farm equipped with Internet-of-Things based sensors, and various machine learning algorithms are applied on the data in order to improve the productivity of pig farm. Herein, multiple machine learning schemes are used to predict the water usage in pig farm which is known to be one of the most important element in pig farm management. Especially, regression algorithms, which are linear regression, regression tree and AdaBoost regression, and classification algorithms which are logistic classification, decision tree and support vector machine, are applied to derive a prediction scheme which forecast the water usage based on the temperature and humidity of pig farm. Through performance evaluation, we find that the water usage can be predicted with high accuracy. The proposed scheme can be used to detect the malfunction of water system which prevents the death of pigs and reduces the loss of pig farm.

• Korean Journal of Childcare and Education
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• v.17 no.3
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• pp.65-87
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• 2021

Objective: This study aimed to examine the effects of maternal monitoring, shared activities with children, maternal education-oriented behavior, and allowing children to own smart-phones on smart media usage patterns based on smart-phone usage time and purposes among elementary school children. Methods: The participants were 1,315 second-grade elementary school children from the 9th wave of PSKC. Latent profile analysis and the three-step estimation approach were used to examine the determinants of the latent profile and the effects of maternal parenting on the profile. Results: Four latent profiles were identified: 'High-level usage & Entertaining oriented,' 'Moderate-level usage & Social/entertaining oriented,' 'Moderate-level usage & Learning oriented,' and 'Low-level usage.' Additionally, results showed that each profile can be predicted by maternal monitoring, education-oriented behavior, and permitting children to own smart-phones. Conclusion/Implications: Our outcomes suggested that it would be necessary to understand the smart media usage patterns of elementary school children, considering both the amount of time spent with smart media and purposes of uses. Further, it is helpful for mothers to monitor children's daily activities, support their educational activities, and take the role of gatekeeper for smart media as a way of appropriate guidance for their children's use of smart media.

• Journal of People, Plants, and Environment
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• v.24 no.2
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• pp.229-244
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• 2021

Background and objective: The purpose of this study was to comprehensively analyze the user behavior in order to cope appropriately with the increasing demand for mountain usage of those in their 20s and 30s and to allocate resources efficiently. Methods: To analyze the behavior of mountain hiking users, an exploratory data analysis (EDA) was conducted on the data which had been collected in the app Tranggle. The main target are users in their 20s and 30s who visited the mountains in the metropolitan area in 2019-2020. Among them, we have selected data on the top 13 mountains based on the frequency of visits. After data pre-processing, mountain usage patterns were analyzed through statistical analysis and visualization. Results: Compared to 2019, the number of users in 2020 increased 1.36 times. The utilization rate of the well-established hiking trails has also increased. The usage of mountain on weekends (Saturday > Sunday) was still the highest, and the difference in the usage between the days of the week decreased. Outside of work hours, early morning usage has increased and night-time usage has decreased. There was no significant change in usages depending on activity type, level (experience point) and exercise properties. Conclusion: Since the COVID-19 outbreak, the usage of mountains has been changing towards low user density and short-distance trip. in the post-COVID-19 era, the function and role of forests in daily life are expected to increase. To cope with this, further research needs to be carried out with consideration of the wider demographic and social characteristics.

• Journal of the Korean Society for information Management
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• v.29 no.2
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• pp.7-25
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• 2012

The proliferating use of e-journals has led increasing interest in collecting and analyzing usage statistic information. However, the existing manual method and simple journal usage reports provided by publishers hinder the effective collection of large-scale usage statistics and the comprehensive/in-depth analysis on them. Thus we have proposed a hybrid automatic method of collecting e-journal usage statistics based on screen scraping and SUSHI protocol. In addition, the generation method of summary statistics presented in graphs, charts and tables has been suggested in this study. By utilizing the suggested system and analysis data, librarians can compose various reports on budget or operation of the libraries.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.4
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• pp.189-211
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• 2011

With the changes in information production and transaction, the ratio of electronic resources in library collection is increasing. Statistical date on usage of electronic resources is an important indicator for library management and development of information service. This study analyzed current state of global standards of usage statistics, and definition and features on electronic resources. It also provides current states of usage statistics data on electronic resources applied by major vendors and publishers. Based on the results of the study, this study proposed the methods to apply statistical data on usage of electronic resources to library management and development of information service.

• Journal of Family Resource Management and Policy Review
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• v.7 no.2
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• pp.1-23
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• 2003

Entering into the mature stage of internet society, we need to understand people's internet using qualitatively. So, this study purposed to relate the types of internet usage and the types of household work using internet by the family except housewife. Web-based questionnaire were administered to 250 male and female subjects respectively. Results were as follows: First, types of internet usage were‘e-style’,‘self-actualization’, and‘family-oriented’. Second, the characteristics of e-style were white collar, college- graduated, and high income. And this type had positive attitude about internet, longer periods of usage, higher level of computer skill, longer usage time than my other types. Third, types of household work using internet were‘commitment in transaction’and‘strong involvement in family life’. fourth, the e-style and the self-actualization were related with the type of commitment in transaction and the family oriented was related with the type of strong involvement in family life. Finally, if the e-style increase, family members except housewife, there are trend of commitment in the household work.

• Child Studies in Asia-Pacific Contexts
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• v.6 no.2
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• pp.59-72
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• 2016

We examined the relationship between the extent of Facebook usage and social well-being with consideration of cyberbullying involvement using a person-oriented approach. Survey data were collected from a sample of 312 secondary students from Grades 7 and 8 in Hong Kong. Levels of cyberbullying involvement, Facebook usage and perceived social support were investigated. Participants were classified into three clusters based on the different levels of Facebook usage and cyberbullying victimization through cluster analyses (i.e., frequent Facebook user/noncyberbullied victim, frequent Facebook user/cyberbullied victim, and uninvolved). Our results showed that frequent Facebook users who are cyberbullied tend to engage in cyberbullying perpetration significantly more than the frequent Facebook users who are not cyberbullied, even when the latter reported higher Facebook usage. This result provides some support for the idea that cyberbullying victimization has additional value on top of the level of usage in explaining one's participation in cyberbullying perpetration. As expected, frequent Facebook users who were not cyberbullied reported the highest perceived social support among the three groups. What is even more interesting is the equal level of perceived social support found between the cyberbullied victims and the uninvolved. Our results suggest that, although limiting adolescents' Internet use might reduce their risks of being involved in cyberbullying, it might also take away the potential benefits they could get from interacting with the online community. Benefits of using the person-oriented approach in the study of cyberbullying are discussed.

• Journal of Information Management
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• v.38 no.4
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• pp.68-87
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• 2007

The purpose of the study is to understand the present state of practical use of electronic journal usage statistics at the academic libraries. For this purpose the study performed an online questionnaire survey to the 63 academic libraries located in Seoul and Gyeonggi Province. Based on the 48 responses, the study found out that the rate of satisfaction with the present usage data was low. Especially the rate of unsatisfaction with the absence of comparable data and the average usage rate of all the subscribing libraries appeared high. The study also examined 5 types of statistics for the evaluation of electronic journal.

• Asia pacific journal of information systems
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• v.32 no.2
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• pp.249-274
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• 2022

This study is to focuses on users' attitudes toward augmented reality games. Based on the Technology Acceptance Model (TAM) and Flow theory, continuous usage intention was set as a dependent variable, and immersion was set as a mediating variable. As independent variables, spatial presence, perceived interactivity, perceived pleasure, and sickness were set. Besides, this study strived to compare and analyze Korean and Chinese Data. The results of this study were as follows. First of all, Korean users significantly affected spatial presence, perceived pleasure, and immersion. Spatial presence and perceived pleasure had also mediated effects on continuous usage intention through immersion. However, perceived interactivity and sickness did not affect immersion and even no mediating effect to continuous usage intention. In the case of Chinese users, spatial presence, perceived interactivity, and perceived pleasure were grouped into one variable. This variable influenced immersion and also had mediated effect on continuous usage intention. However, sickness, like Korean users, did not affect the set path. This study had implications for analyzing user perspective using immersion, a significant variable in previous research. In addition, this study found similarities and characteristics through a comparative analysis between Korean and Chinese users indirectly.