• Journal of Digital Convergence
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• v.18 no.8
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• pp.419-425
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• 2020

This study proposes functional services within the cooking recipe sharing application. Many single-person households often eat alone, and eating out. their usual eating habits are not considered well. when living alone, the risk of exposure to mental illnesses increases compared than multi-person households, and if nutrition has unbalanced, it can be easily exposed to diseases. in this study, define these problems and emphasize the importance of maintaining physical and mental health of one-person households, and explored user experience and expectations through cano models, focusing on the Baekjubu fooe recipe is often used by 20-30s. and users can feel the cooking process is not a hassle. and they will have a cooking themselves and even manage their mental health through communication with neighbors.

• Korea journal of population studies
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• v.21 no.1
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• pp.129-161
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• 1998

Change in the future household members is closely related to the change in the size and structure of the population which, in turn, is affected by factors of fertility and mortality and the household itself due to changing social values on family. This study aims to estimate the number of households and to thereby analyze the characteristics of household, using a household projection method chosen by reviewing various methods for Korea. In selecting the method of estimating households, the irregularity of the source data should be carefully taken into consideration with a society like the Korean society which is changing rapidly. The review on the proojection methods suggests the breakdown of the ages into two groups, namely 34 years old or less and 35 years old or more, for projecting the households for Korea. Thus, the Exponential Method for the former age group and the Net Transitional Method for the latter are adopted in this study. As a result, the number of households is expected to increase from 12,956 thousand in 1995 to 20,006 thousand in 2030 or by 54% during this period. The average number of members per household will decrease from 3.3 persons in 1995 to 2.5 persons in 2030. One of the main features of change in the housohold structure will be a rapid increase in the number of one person households and a decrease in the number of households with three generations or more.

• Journal of Digital Contents Society
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• v.18 no.5
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• pp.895-904
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• 2017

In this paper, we propose an IoT based smart outlet system for one-person household with electric safety, electric energy consumption management and transmission of messages to the reserved contacts by connecting the emergency network. The proposed smart outlet system is implemented by parsing packet data and protocol between server, module, application and WiFi AP receiver. The WiFi AP built for communication can be used not only for the outlet but also for the gas barrier, the door lock and the like. In addition, the proposed method can provide the remote monitoring function by receiving the amount of power of the receptacle received through the AC current sensor (SCT-013) in real time. The smart outlet system is expected to be capable of automatically shutting off the power in case of emergency through automatic power use analysis in addition to the standby power cutoff function.

• Journal of the Korean Society of Food Culture
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• v.12 no.4
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• pp.419-421
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• 1997

Washing water volume of rice for cooking and rice weight for one person per meal in one household were surveyed for confirming pollution by the washing water and total losses by rice washing procedures. The mean size of a family was 4.64 persons and the mean consumption weight of rice per capital per meal was 138.43g. It is used 0.782 L of water for washing the rice per capital share. The washing water of rice was composed of 0.32% of total solid, 0.11% of soluble solid and 1.65% of solid loss to rice, and COD and BOD of it were 2.400 and 3.564 ppm respectively. Based on total population in Korea, 41 miliion, excepting age below 4, total cost for washing water of rice summed up about 1,495 billion won including 8.8 billion won for tap water cost, 11.7 billion won for waste water treatment, and 129 billion for solid loss of rice.

• Environmental and Resource Economics Review
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• v.16 no.3
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• pp.451-483
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• 2007

Recently, the problem of noise has received much attention in the urban environment. This paper attempts to measure the economic benefits of urban noise reduction in the metropolitan area. To this end, the dichotomous choice contingent valuation method is applied. In particular, recently proposed one and one-half bound model that reduces the potential for response bias in the double bound model while maintaining much of its efficiency. We surveyed a randomly selected sample of 800 households in the metropolitan area and asked respondents questions in person-to-person interviews about how they would willing to pay for the noise reduction. Respondents overall accepted the contingent market and were willing to contribute a significant amount (997 to 1,778 won), on average, per household per month. This willingness varies according to individual characteristics such as concerns about noise, dwelling area, and income. The aggregate value of the noise reduction in the sampled metropolitan area amounts to approximately 79.26 to 141.35 billion won per year.

• Korean Journal of Health Education and Promotion
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• v.32 no.2
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• pp.53-63
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• 2015

Objectives: The purpose of this study was to investigate association of depressive symptom, fatalism with selected health behaviors among people aged 50-69 with no physical limitation in Seoul. Methods: In 2012, data were collected using a household based interview survey in Seoul. One person in each selected household aged between 50 and 69 was selected and responded. Data analysis was based on 1,190 subjects who answered they do not have any physical activity limitation. Results: Multiple logistic regression analysis showed significant association among variables including perceived health, depressive symptom and fatalism scores on some health behaviors. Multiple regression analysis showed that selected health risk behaviors(current smoking, monthly alcohol consumption, no regular health exam in two years) were significantly associated with depressive symptom and fatality scores in addition to demographic variables. The final regression model's adjusted R square was about 0.235. Conclusion: Demographic variables such as gender, age and socioeconomic status were significant variables in health behaviors and these behavioral factors were associated with perceived health, depressive symptom and fatalistic views. As a conclusion, depressive symptom and fatalism should be monitored and intervened in health education practice.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.601-608
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• 2021

This study was conducted using data from the 2019 National Statistical Office's Life Time Survey, It was to investigate the effect of time-perception on the time-use pattern of 594 single middle-aged women in the city. This study found that there were differences of time management for daily behaviors between the insufficiently-percieved group and the sufficiently-percieved group. The both spent the most time with personal management. Secondly, the sufficiently-perceived group spent the more time with leisure activities than the insufficiently one did; the insufficiently-perceived one did the more work than the sufficiently-perceived one. The founding suggested the difference of time-use pattern by time-perception of the middle-aged women in the city. Also, the leisure activities and work were key factors to understand the daily life of the city-living middle-aged women.

• Science of Emotion and Sensibility
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• v.22 no.2
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• pp.101-108
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• 2019

The aim of this study was to verify differences in autonomic responses that are affected by the configurations of one-room type units using an electrocardiogram (ECG). Accordingly, 43 one-room units that were collected randomly were classified into ten different types of floor plan configurations mainly according to the location of the bathroom and kitchen. An ECG was subsequently measured for each plan type and the average ratio of the LF/HF (Power in low frequency range/Power in high frequency range) was calculated to measure the comfort level of each space. The results revealed a significant statistical difference between the average LF/HF ratio between the plan types (p < 0.05) and provided compelling evidence suggesting that the configuration of the plan may affect the quality of one-room space. This approach appears to be effective in counteracting stress that may exacerbate psychological disorders in single person households.

• The Journal of the Korea Contents Association
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• v.20 no.4
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• pp.406-415
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• 2020

This study applies Q methodology that can extract subjective opinion or recognition structure for each single household whose Meal Kit products developed and marketed by catering companies according to the demographic structure that changes socially. Implications were analyzed. As a result of subjective recognition type analysis in this study, four types were derived, and each type was named according to its specificity as follows. Type 1 (N = 6): Appearance Assessment Purchase Type, Type 2 (N = 6): Price Comparison Purchase Type, Type 3 (N = 10): Brand Trust Purchase Type, Type 4 (N = 2) : Easy Cooking Purchase Type was analyzed for each unique feature type. In this study, we analyzed the subjective opinion or recognition structure of single-person households whose Meal Kit products are the main demand groups, and suggested the direction and improvement measures for future food product development and launch for single-person households through the analysis by type. The purpose of this study is to provide academic implications based on the analysis results.

• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.111-118
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• 2022

In recent years, the number of single-person elderly households has increased, but when an emergency situation occurs inside the house in the case of single-person households, it is difficult to inform the outside world. Various smart home solutions have been proposed to detect emergency situations in single-person households, but it is difficult to use video media such as home CCTV, which has problems in the privacy area. Furthermore, if only a single sensor is used to analyze the abnormal situation of the elderly in the house, accurate situational analysis is limited due to the constraint of data amount. In this paper, therefore, we propose an algorithm of abnormal situation detection fusion inside the house by fusing 2DLiDAR, dust, and voice sensors, which are closely related to everyday life while protecting privacy, based on their correlations. Moreover, this paper proves the algorithm's reliability through data collected in a real-world environment. Adnormal situations that are detectable and undetectable by the proposed algorithm are presented. This study focuses on the detection of adnormal situations in the house and will be helpful in the lives of single-household users.