• Information Systems Review
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• v.22 no.4
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• pp.115-134
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• 2020

Previous studies on willingness to pay for digital content have mainly focused on audience factors and individual level. To complement the limitation of previous research, this study conducts a multilevel analysis to find the factors influence digital content purchases considering two axes: audience/media factors and individual/household levels. Using a sample of 10,172 individuals within 4,313 households, the analysis results show individual media factors including theater-going, experience with cloud services, and multi-screen service usage have the greatest effects on digital content purchases. At the household level, the media ownership factors that the number of laptops, wireless routers, and tablets have a greater influence than audience factors such as household size or household income. Our findings help scholars to enhance the understanding of individuals' media use considering household environmental factors and shed light on the importance of multi-screen service usage, and content providers to improve their digital content sales using multi-screen environment.

• Korean Journal of Human Ecology
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• v.7 no.1
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• pp.97-108
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• 1998

The purpose of this study was to examine the family resources, stress level, and coping strategies of reemployed wives, to direct the better psycho-physical environment, and to enhance the quality of their home environment for reemployed wives. The data were analyzed with the frequency, percentage, factor analysis, mean(S.D), reliability, and regression using SPSS windows program. The major findings were as follows : (1) There were significant relationships between demographic and socioeconomic characteristics of the family resources and stress level. Personal-psycho resources was important variable in the family resources. The household work and value of household work were most influential. (2) Influential variables on stress level were income and working hours, resources of family task sharing. (3) Influential variables on coping strategies were age, reemployed time, and family task sharing. Coping strategies was effected by the reasons of employment.

• Journal of Sensor Science and Technology
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• v.17 no.2
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• pp.151-155
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• 2008

In this paper, it was investigated that the pattern recognition of multiplication environment of lactic acid bacteria in the process of curd yogurt preparation using household fermentation system, which was manufactured by combining incubator with sensor module, data processing circuit and computer. It will be sufficiently applicable to determine the maximum ratio of the amount of air to mixed milk for preparation of high quality yogurt.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2009.04a
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• pp.106-110
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• 2009

The purpose of this study is to offer and analysis the stage of elderly in order to improve the quality of living environment of elderly in Korea. The results are as follows: Stage 1 of the early elderly appear to live with the elderly and their children, but stage2 and stage3 show the increase of the elderly couple. In case of elderly household, It showed reasons of living together, relationship between the elderly and their children for taking care of grandchildren and being dependent children. Also, residents currently had lived for a long time, especially get older, and ageing in a place has definitely. The Stage of elderly can be applied to understand the living environment for elderly in the future when housing for elderly solve a problem.

• Korean Journal of Organic Agriculture
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• v.21 no.3
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• pp.321-334
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• 2013

This case study surveyed management situations of environmentally friendly farming (EFF) and their awareness situations. Farmers are aging as an average age of 62-year old. The EFF did not increase farmer's income, however, farm income of EFF was more than that of conventional farming. Farm household liabilities showed large deviation among farmers. Livestock and greenhouse farm households have more liabilities because of facilities and feed cost. Farmers of EFF have been also cultivating conventional farming, but they don't plan much conversion intention of conventional farming into EFF owing to lack of differentiated and stable market for their environment-friendly agriculture products. And they are guessing that EFF income will usually not increase more. For increasing of EFF income, they think that it is necessary to enlarge production area, change to high-income crop, develop processing foods, change to organic farming and so on.

• Journal of Electrical Engineering and Technology
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• v.13 no.5
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• pp.1821-1830
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• 2018

With the wide application of intelligent household appliances, the optimization of electricity behavior has become an important component of home-based intelligent electricity. In this study, a multi-objective optimization model in an intelligent electricity environment is proposed based on economy and comfort. Firstly, the domestic consumer's load characteristics are analyzed, and the operating constraints of interruptible and transferable electrical appliances are defined. Then, constraints such as household electrical load, electricity habits, the correlation minimization electricity expenditure model of household appliances, and the comfort model of electricity use are integrated into multi-objective optimization. Finally, a continuous search multi-objective particle swarm algorithm is proposed to solve the optimization problem. The analysis of the corresponding example shows that the multi-objective optimization model can effectively reduce electricity costs and improve electricity use comfort.

• Journal of Korean Society of Environmental Engineers
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• v.29 no.8
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• pp.864-869
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• 2007

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2004.11a
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• pp.405-411
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• 2004

This paper digests the residential environment of row-income households in South-East Asia, and governmental endeavor to the squalid dwellings from the perspective of residence welfare. Two projects related to residential environment improvement, UCDO in Thailand and KIP in Philippines, are chosen for deeper study. Some findings in South-East countries' experiences are expected to instructive clues for Korea situation.

• Journal of Environmental Health Sciences
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• v.48 no.4
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• pp.195-205
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• 2022

Background: The biggest concern when using household chemical products is the health risk from inhalation exposure. Objectives: The purpose of this paper was to provide information necessary for estimating inhalation exposure factors in several countries/organizations and to present some examples. Methods: We attempted to use PRISMA-ScR for a systematic review, but no major reports were found. We used the Google search function instead to find 'exposure factor handbook'. As for the results, inhalation exposure factors from South Korea, the United States, Canada, the EU, Australia, Japan, and China were compared. Results: The basic concept and origin of exposure factors was the US Environmental Protection Agency's Exposure Factor Handbook. Its latest version is 2011, but several chapters have been updated in 2017, 2018, and 2019. South Korea's Exposure Factor Handbook was updated in 2019, more recently than those of other countries, and was systematically investigated. In South Korea, the average daily respiratory rate is 14.62 m³/day for adults and 12.73 m³/day for children. It is difficult to compare breathing rate by country because each country divides age groups differently and uses different methods to estimate it. Information on household chemical products, space used, and ventilation rate are in the exposure factor handbook in some countries and not in others. It is not in the handbook in South Korea, but in the notice from the NIER (National Institute of Environmental Research), a sub-regulation of the Chemical Product Safety Act. Conclusions: The exposure factors registered in South Korea's exposure factor handbook have been systematically studied and reflect the most recent data. When using data not in the relevant handbook, data from other countries might be applied, but it should be determined whether the nature and quality of the original data have been managed.

• Journal of Energy Engineering
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• v.23 no.3
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• pp.36-41
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• 2014

The world's overall need for natural gas (NG) has been growing up fast, especially in the residential sector. The better the estimation of residential NG consumption (RNGC) distribution, the better decision-making for a residential NG policy such as pricing, demand estimation, management options and so on. Approximating the distribution of RNGC is complicated by zero observations in the sample. To deal with the zero observations by allowing a point mass at zero, a mixture model of RNGC distributions is proposed and applied. The RNGC distribution is specified as a mixture of two distributions, one with a point mass at zero and the other with full support on the positive half of the real line. The model is empirically verified for household RNGC survey data collected in Korea. The mixture model can easily capture the common bimodality feature of the RNGC distribution. In addition, when covariates were added to the model, it was found that the probability that a household has non-expenditure significantly varies with some variables. Finally, the goodness-of-fit test suggests that the data are well represented by the mixture model.