• Journal of Industrial Convergence
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• v.13 no.1
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• pp.25-40
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• 2015

The aim of this study is to a study on the effects of fertile women on the low fertility in Korea. It is designed to research a model and established hypothesis with emphasis on major variables based on theoretical discussions. However, the result of the study is as follows. Firstly, this brought in delivery avoid phenomenon thus resulting in lower delivery phenomenon. The government should propose reasonable solutions to persuade female personal value and important elements of delivery rate at the same time. Secondly, Patriarchal stereotypes weighting household labor to female traditionally pressures working female with double burden as dual stance of work and family worsen the delivery will. Such atmosphere within a family generates female with an ability to get pregnancy to avoid marriage and delivery. Lastly, the research has pointed out the delivery support policy as most ineffective policy among government policies. To solve this problem, the government policy to recover delivery rate must be reviewed continuously and to be exercised immediately.

• Asia pacific journal of information systems
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• v.32 no.4
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• pp.857-889
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• 2022

Home theft and burglary are prevalent in Dhaka city. Internet of things (IoT), in contrast, is commonly recognized as among the most advanced home security systems. However, the factors that attract young people to use IoT for household security have yet to be examined. Consequently, the purpose of this article is to validate the attitude-social influence-self-efficacy (ASE) model with personal innovativeness and perceived trust. We collected data from Dhaka citizens aged 15 to 24 using a purposive sample technique and 370 valid responses were chosen for the study. According to the analysis, all of our proposed hypotheses were found significant with a 73.6% variance. Furthermore, the effects of attitude and social influence were shown to be the highest and lowest, respectively, and trust and innovativeness were both nearly strong main predictors of ASE. Significantly, since this is one of the few studies in the technology adoption domain using this model, a solid foundation for IoT adoption for security purposes is established.

• Journal of Nutrition and Health
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• v.30 no.10
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• pp.1211-1218
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• 1997

This study was performed to assess the consumption of various seasonings (SNG), which are usually omitted from food frequency questionnaire(FFQ), and their contributions to nutrient intake levels. A dietary survey with FFQ , which surveyed the intake of 65 mainly uncooked food items, was conducted for 493 adults over 30 years of age from 373 households in a rural area of Korea. Household consumption of major SNG items-garlic , red pepper powder, fermented soy bean paste, oil, soy sauce , salt, etc- were estimated by a questionnaire completed by the housewives of the survey participants. The daily consumption of SNG items by each subject was determined by 3 methods ; dividing daily household consumption by \circled1 the number of household members. \circled2 the number of household members over 10 years of age and \circled3 the weighted number of houshold members calculated by the ratio of the RDA for energy. All three methods for calculating the daily personal consumption of seasoning gave similar results, which may have been partly due to the homogenity of family age distribution of the households in the study area. Therefore, the results of method \circled1 were used to determine the contribution of SNG to nutrient intake of subjects in this study. Daily intake of all nutrients were significantly increased by including SNG consumption in the measurements as compared to measuring intake by FFQ alone (p0.01). Percentages of total daily nutrient intake from SNG ranged from 2.3% in carbohydrate to 34.4% in fat. Nutrients with higher contributions from SNG were energy (8.4%), fat (34.4%), Fe(20.55) and $\beta$-carotene(17.9%). These results indicate that SNG consumption can contribute significantly to the intake of several nutrients and must be considered in surveys using FFQ.

• Journal of the Korea Society of Computer and Information
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• v.27 no.5
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• pp.47-54
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• 2022

Recently, with the development of deep learning technology, research on recognizing human behavior is in progress. In this paper, a study was conducted to recognize risky behaviors that may occur in a single-person household environment using deep learning technology. Due to the nature of single-person households, personal privacy protection is necessary. In this paper, we recognize human dangerous behavior in privacy protection video with Gaussian blur filters for privacy protection of individuals. The dangerous behavior recognition method uses the YOLOv5 model to detect and preprocess human object from video, and then uses it as an input value for the behavior recognition model to recognize dangerous behavior. The experiments used ResNet3D, I3D, and SlowFast models, and the experimental results show that the SlowFast model achieved the highest accuracy of 95.7% in privacy-protected video. Through this, it is possible to recognize human dangerous behavior in a single-person household environment while protecting individual privacy.

• Journal of Family Resource Management and Policy Review
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• v.9 no.1
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• pp.113-130
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• 2005

The purpose of this study was to show the expected age of retirement of the couple, husband and wife, individually, the difference between the expected age of retirement of the husband and that of the wife, and to analyze contributing variables. The sample in this study numbered 517, of which 229 were husbands and 288 were wives. The independent variables were divided into three factors including personal, financial, and work related variables. The results of this study were as follows. Among two earner households, both husbands and wives expected the husband's age of retirement to be higher than of the wife. The difference between the husband's expected age of retirement and the wife's expected age of retirement was five years, on average. For the husband, personal, financial, and work related variables had effects on his expected age of retirement. However, for the wife it was only the perception of future work life and expected age of retirement of the partner which had very significant effects statistically. The variables affecting the difference between the expected age of retirement of the husband and that of the wife included the personal variables as well as interaction of the couple related variables. The results showed that first of all, the planning of retirement among two earner households needs to be focused on the couple rather than on the individual.

• Journal of the Korean Home Economics Association
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• v.37 no.3
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• pp.63-84
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• 1999

The purpose of this study was to explore how family type based on intra system dynamics explained housewives'objective and subjective family financial well-being. The data were collected by means of questionnaire distributed to a stratified sample of 662 housewives in Seoul who usually managers household finances. The questionnaire included family cohesion and adaptability scale, communication scale, financial management scale, and subjective family financial well-being scale. Frequency, percentile, mean, Х$^2$ Pearson’s correlation, one-way ANOVA, multiple regression were used to analyze the data. The study had resulted in five major findings: 1. Among four intra system dynamics elements were highly relationships 2. Families were categorized tv four types, named personal-oriented(N: 164), managerial-oriented(N=169), dynamics(N=154), and non-dynamic(N=134) family. 3. The four types of family were influenced tv age of housewives, duration of marriage, and job status of husbands. 4. The four types of family were significantly related with subjective family financial well-being. The personal-oriented family type was significantly related with objective family financial well-being. 5. The dynamic family type showed the highest effect of subjective family financial well-being. The personal-oriented family type showed the greatest effect of objective family financial well-being. The recommendation for future research and better ways to enhance level of intra system dynamics elements and family financial well-being.

• Applied Chemistry for Engineering
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• v.8 no.4
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• pp.624-630
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• 1997

Zeolite A helps an increase of detergency performance according to showing the ion exchange effect for polyvalant ions and it's detergency performance could be calculated quantitatively by using the disperse stabilization theory because it is water-insoluble material and is as colloid particles in aqueous solution. In this study, zeta potential of carbon black, cellulose, and Zeolite A were measured in each inorganic salt solutions and applied to the theory of Heterocoagulation in order to evaluate the detergency performance of Zeolite A about the particulate soil at the view point of interaction potential energy. Zeolite A was shown help an increase of detergency performance according to the increasing of the steric repulsion between Zeolite A and cellulose in $Na2CO_3$ solution and the decrease of re-deposition of carbon black on the fabric by rapid coagulation with carbon black in $Na_2SO_4$ solution.

• Applied Chemistry for Engineering
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• v.9 no.5
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• pp.749-753
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• 1998

Methoxy polyoxyethylene dodecanoates, kinds of nonionic surfactants, could be obtained from addition of ethylene oxide (5, 7, 9, and 12mol) with fatty acid methyl ester utilizing solid catalyst, metal oxide. Because ethylene oxide (EO) couldn't react directly in acid or alkali catalyst with dodecanoic acid methyl ester (DME) that had no active hydrogen, the reaction to add EO was carried out using active solid catalyst. By using IR, HPLC and $^1H$ NMR analysis, structural confirmation of methyl polyoxy ethylene dodecanate showed high yield ranging from 93 to 97%. EO unit mol number of reacted products was 5.2, 7.1, 9.2 and 12.1 mol respectively. Also, EO adduct distrobution of ethoxylated methyl laurate (MPD) had normal distribution curve like polyoxyethylene alkyl ether (AE).

• Human Ecology Research
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• v.57 no.1
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• pp.143-157
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• 2019

This study analyzed per capita expenditure (food expenses, housing expenses, health care costs, and cultural & entertainment expenses) by the consumption quintile for middle and older elderly households in addition to personal characteristics, household characteristics and economic factors affecting it. A sample collected from the 6th KLoSHA in 2016, was 2,983 households. First, among each per capita expenditure, the largest expenditure was food expenses, followed by housing expenses, health care costs and cultural & entertainment expenses. Compared with the first quintile of personal consumption expenditure, the largest increase in the fifth quintile was food expenses, followed by cultural & entertainment expenses, housing expenses, and health care costs. Second, compared to the fifth quintile of per capita food expenses, all other quintile had negative effects, and only the first quintile showed a negative effect compared to the fifth quintile of per capita housing expenses. The first, the second, and third quintile had a negative effect compared to the fifth quintile of per capita health care costs. Compared with the fifth quintile of per capita cultural & entertainment expenses, only the third quintile showed a negative effect. Third, in all quintile of per capita food expenses, the most influential variable from the first quintile to the third quintile was marital status, while in the fourth and fifth quintile included household income. In all quintile of per capita health care costs, health status was the most influential variable from the first quintile to the fourth quintile, and residence was in the fifth quintile.

• Journal of Environmental Health Sciences
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• v.45 no.2
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• pp.142-153
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• 2019

Objectives: The aim of this study was to determine environmental chemical exposure related to residential and personal lifestyle characteristics in the adult Korean population. The observations of this study can provide information useful for developing reduction approaches for exposure to chemicals among the general adult population. Methods: The second stage of the Korean National Environmental Health Survey (KoNHES) was conducted from 2012 to 2014, with 6,478 persons participating. Using the results of the survey, the relationship between exposure levels of heavy metals and organic chemicals and exposure factors, e.g. residential and personal lifestyle characteristics, were analyzed. Results: The exposure levels of VOCs and PAHs were significantly lower in participants living at a distance of more than 100 m from roads versus living closer to roads. Home ventilation lowered VOC and PAH exposure but did not lower chemical exposure from household products. Use of public transportation showed lower exposure to heavy metals, VOCs, and PAHs. Current smoker was significantly higher for levels of heavy metals, VOCs, and PAHs, and the exposure trend was similar for current drinkers. Physical activity was related with higher exposure to phthalates and environmental phenols. Conclusion: Our observations based on a nationally representative population for Korea show that exposure to chemicals varies by residential and personal lifestyle, and this should be considered for developing appropriate mitigation measures and policies. Given the health concerns surrounding environmental chemicals, it is necessary to develop comprehensive measures to reduce chemical exposure.