• Journal of Korean Academy of Nursing
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• v.27 no.4
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• pp.777-786
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• 1997

The purpose of this study was to examine the conditions of drug use and to find the main factors that lead students to start and select drugs in their circumstances. The "other drugs" in this study means analgesics, hypnotics, stimulants, tranqualizers, and drinks including caffeine. The sample was 1,900 students and 1,412 responses were analyzed. Variables in the study included prescription provision by parents, drug use by friends, attitudes to drugs, drinking and smoking activities, and poly drug use Analysis of the data was done using descritive statistics, chi square, and, to find the determinants on other drug use, multiple logistic regression was performed. Data were analysed by SAS/PC programs. Of the subjects 86.6% of the students have had experienced with alcohol and 49.8% of them continue to use it, and 37.9% of the students have had experienced with smoking and 22.1% of them continue to smoke. The rates of using other drugs were as followed : analgesic 33.3%, hypnotics 4.3%, sedatives 4.4%, stimulants 8.7%, and 242 students have had experienced with more than two different kinds of drugs of the same time including alcohol and smoking. With the exception of alcohol and smoking, 126 students were continuing to use more than two different kinds of drugs. And 2.3 kinds of drugs were the average that were being used at the same time by poly drug users, alcohol and smoking excepting. In conclusion, the determinants of other drug use can be summarized as poly drug use, drug use by friends, obedience to drug prescription of parents, and time of first using drugs.

• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.623-639
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• 2020

This study explores the factors associated with the amount of time use in leisure and social gathering activities. The analysis shows that the engaging role types of the youth, for example housekeeping and care giving, or working on the paid job are associated with the amount of time use in leisure activities. However, the factors related to time use in social gathering activities are the engaging role types of youth as well as the socializing opportunity. Compared to the other role types of the youth, the youth who are preparing for a job and is not engaged in employment, education, and training(NEET) spend more time in media leisure, travel and cultural activities, sports and reports activities, however spend less time in social gathering compared to students. The youth who have a job spend the least time in all of the leisure activities except travel and cultural activities for a weekend. Policy should remove the barriers in leisure activities and increase the opportunities for socializing.

• Korean Journal of Childcare and Education
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• v.16 no.3
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• pp.39-58
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• 2020

Objective: The purpose of this study is to investigate the effects of parents' perception of infant's use of digital devices on language development. Methods: For this study, a survey was conducted on 285 parents of 1-2year old infants attending childcare centers in Jeollanam-do. Results: First, the digital devices that infants were exposed to the most was the television, and their first exposure to digital devices was at 13~17 months. The most time spent using digital devices was 30 minutes and they most frequently used them at home. Second, parents perceived the educational value of digital devices as low. Third, language development was high when the initial use of digital devices for infants was late, when the daily use time of digital devices was less than 30 minutes, when digital devices were used with parents, and when parents always managed digital devices and usage time. Fourth, Parents' perception of the use of digital devices has a significant influence on their infants' language development. Conclusion/Implications: Language development due to the use of digital devices and parents' perception of the use of digital devices has a significant impact on infants language development.

• 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 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.

• 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 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 the Korean Home Economics Association
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• v.36 no.4
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• pp.35-48
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• 1998

The imputation of monetary value of women's contribution to the informal economy for inclusion in satellite accounts to the formal System of National Accounts has been attempted along many methods. This is bases on official laborforce statistics and time-use survey. In this statistical system, household work is not an economic activity(or productive labor). Also, the clssification of activities involved in household work is different from that of sampling survey relating evaluation. The measurement of women's unpaid work is one of the important tasks for the improvement of women's status and the establishment of a development policy. To measure unpaid work in the economic terms, we should take following measures; 1) develop satellite or other official accouts to measure unpaid work outside national accounts. 2) conduct a nation-wide time-use survey to measure the unpaid work. 3) develp a proper classificaition of activities for time-use statistics. 4) reexamine the minimum time criterion. 5) determine a proper method of valuing along the law system.

• 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.