• 한국노년학
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• v.40 no.4
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• pp.781-800
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• 2020

This study aims to categorize the daily time use of older adults into different types, examine the factors influencing them and the differences between them by type, and verify the effect of each type on life satisfaction. From the 6th wave of the Korea Retirement and Income Study (KeRIS), analysis was conducted on 3,963 older adults aged 65 (n=3,963). Using Latent Profile Analysis (LPA), three types of daily time use for older adults were identified: basic life maintenance type (16%), free-leisure oriented type (26%), and social activity type (58%). From the results of multinomial logistic regression analysis to identify the factors influencing each type of daily time use, it was found that the main factors influencing free-leisure oriented type, when compared with basic life maintenance type, were the presence of spouse (p<.01) and psychological health status (p<.001). The main factors influencing social activity type, when compared with basic life maintenance type, were age (p<.05), economic activity (p<.001), and chronic disease (p<.001). The life satisfaction seen during free-leisure oriented time and social activity time was higher than that during basic life maintenance time. From these findings, practical and policy proposals were suggested to improve life satisfaction of older adults during basic life maintenance time by pursuing changes in the use of that time.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.5
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• pp.93-105
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• 2011

This study was performed to figure out the effects of perceived usefulness and ease of use in Technology Acceptance Model(TAM) affecting acceptance attitude and intention to use in smart learning. In addition, the study recognized the need for differentiation of learning time by analyzing the difference of effects influencing acceptance attitude of perceived usefulness and ease of use during learning time, which is at the beginning, midterm, and at the end of the term. As the results of the study, it showed that there were differences between the factors, the learning time of which was considered, affecting acceptance attitude and intention to use. Furthermore, in order to improve the effectiveness of building a smart campus, which is currently under the construction, the study argued that universities need to consider the learning relevance and subjective norm as important factors in perceived usefulness of smart learning. Finally, the need for the design of various smart learning types became accepted considering learning time.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.1957-1980
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• 2021

The significant aim of this research has always been to evaluate the mechanism for efficient and inherently aware usage of vitality in-home devices, thus improving the information of smart metering systems with regard to the usage of selected homes and the time of use. Advances in information processing are commonly used to quantify gigantic building activity data steps to boost the activity efficiency of the building energy systems. Here, some smart data mining models are offered to measure, and predict the time series for energy in order to expose different ephemeral principles for using energy. Such considerations illustrate the use of machines in relation to time, such as day hour, time of day, week, month and year relationships within a family unit, which are key components in gathering and separating the effect of consumers behaviors in the use of energy and their pattern of energy prediction. It is necessary to determine the multiple relations through the usage of different appliances from simultaneous information flows. In comparison, specific relations among interval-based instances where multiple appliances use continue for certain duration are difficult to determine. In order to resolve these difficulties, an unsupervised energy time-series data clustering and a frequent pattern mining study as well as a deep learning technique for estimating energy use were presented. A broad test using true data sets that are rich in smart meter data were conducted. The exact results of the appliance designs that were recognized by the proposed model were filled out by Deep Convolutional Neural Networks (CNN) and Recurrent Neural Networks (LSTM and GRU) at each stage, with consolidated accuracy of 94.79%, 97.99%, 99.61%, for 25%, 50%, and 75%, respectively.

• Journal of Labour Economics
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• v.39 no.1
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• pp.57-79
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• 2016

This study analyses determinant factors of time allocation within married couple using 2014 Time-use survey. Findings show that husbands spend less time on child care and housework than wives do. When wives have high income and young kids, husbands' time spending on child care and housework increases. Wives' time allocation is associated with husbands' income- wives' working time is negatively associated, but wives' housework time is positively associated with husbands' income. However, both wives' and husbands' income is not related to child care time. When wives' income increases, while, husbands' time spent on housework and child care increases. There are complementary relations within time allocation, but substitute relationships between wives' and husbands' housework time. In other words, if a wife works long hours, husband spends more time on housework, but if a wife or a husband spends on housework, her husband or his wife does not spends on it. However, findings of married couple time allocation for weekend shows different patterns from weekday time use.

• Journal of Family Resource Management and Policy Review
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• v.17 no.1
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• pp.1-18
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• 2013

This study grasps the living condition of Single-Parent-Family, and compares Single-Parent-Family with Dual-Parent-Family to analyze necessary factors to enjoy the happier life. The data from '2009 the Korean Time Use Survey' and '2010 the National Survey of Korean Families(NSKF)' are used for this study. ANOVA, Duncan test, Correlation Analysis(SPSS for windows, Ver. 18.0) are used for statistical method. Here are the results of this study. First, distribution of living-time-usage of the Single-Parent-Family is different from that of Dual-Parent-Family. Second, the difference in the amount of leisure time, time distribution, and the content of activity was observed based on the gender of Single-Parent-Family. Third, there is a difference in family leisure activity time among Dual-Parent-Family, Mother-Single-Parent-Family, and Father-Single-Parent-Family in holidays. Fourth, there is a clear difference between Dual-Parent-Family and Single-Parent-Family, after looking at life satisfaction degree in work-family-leisure life experience.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.11
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• pp.1964-1970
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• 2010

A new intelligent power network (Smart Grid) that grafts some new technologies, such as the extension of the new and reproducible energy, electric motors, and electric storages, onto the regulation of green house gases according to the recent convention on climate changes has been actively promoted. As establishing such an intelligent power network, it is possible to implement a real-time rate system according to the change from the conventional single directional information transmission to the bidirectional information transmission. Such a real-time rate system can provide power during the chip rate hour by avoiding the high rate hour although customers use the same level of power through providing such real-time rate information including power generation costs. In this study, the establishment of an operating system that makes an effective use of the real-time rate system and its operation method are to be proposed.

• Journal of Family Resource Management and Policy Review
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• v.8 no.1
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• pp.101-116
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• 2004

This study analyze using pattern of the Korean elderly leisure time to know their leisure lifestyle. In order to do this study, we analysed the time use dairy which were collected by Korean National Statistical Office in 1999 and analysis of data was done through mean of time, percentage of acting people hourly. The result of this study were as follows : 1) The elderly spend leisure time average 6 hours 34 minute in a day and enjoy leisure activities from A.M. 11:00 to P.M. 12:00 and from P.M. 8:00 to P.M:. 10:00 mainly. 2) The elderly spend leisure time for acquaintance, using mass media, sports leisure activity and dilettante life. Especially the elderly associate with more others than their family, use more TV than others and spend time for break and amusement as dilettante life.

• Journal of Family Resource Management and Policy Review
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• v.9 no.4
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• pp.21-40
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• 2005

The purpose of this study was to exam the activities by the distribution of time and space occupancy on their weekday and weekend. to study the space and labor segregation by sex. The sample population included 23 wives and their husbands(30-40 years old). The major findings of the research are as follows: First, it shows that wives' time use by activity was consistent with the space occupancy on weekday. Second, on weekend, wives was used to stay in living room most of time. Thirdly, husbands show the stereotype of time use on weekday, and substitute leisure time for labor time. Finally, on weekend, the wives and husbands have the joint time in the household labor or leisure activities.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.4B
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• pp.692-699
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• 2000

We build and analyze some types of queueing model to discuss capacity dimensioning of access links of a LAN interworking unit connected to the Internet backbone network. We assume that the IWU has a FIFO buffer to transmit IP packets to the Internet through the backbone. In order to analyze the system, we use a Poisson process and an MMPP process as input traffic models of IP packets and we use a general service time distribution as a service time model. But we use both an exponential service time and a deterministic service time in numerical examples for simple and efficient performance comparisons. As performance measures, we obtain the packet loss probability and the mean packet delay. We present some numerical results to show the effect of arrival rate, buffer size and link capacity on packet loss and mean delay.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.63 no.7
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• pp.889-895
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• 2014

Korea electric power industry had been under vertical monopoly but is typically getting restructured for free competition. An ideal pricing system under the competitive market system is 'unbundled pricing system' and 'marginal pricing system', but the current pricing system still adheres to the traditional bundled system and the average cost pricing system. Especially, progressive electricity rates for residential use reflect governmental policy-making which is focused on income redistribution & welfare, industrial supports and energy saving. This study proposes new and reasonable residential electricity pricing systems which are Time-Of-Use (TOU) and Real-Time Pricing (RTP) to reflect variations in the wholesale price of electricity. It also presents examples of various tariffs for residential electricity pricing systems.