• Journal of Internet of Things and Convergence
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• v.6 no.4
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• pp.59-64
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• 2020

Recently, many difficulties have been faced in all parts of the world due to the impact of COVID-19. Personally, household income is decreasing sharply as many jobs disappear, and economically, many SMEs are increasingly going bankrupt. It is known that this phenomenon is highly likely to continue for the time being. In such a situation, the smart factory support project provides opportunities for difficult SMEs to improve productivity and change the corporate structure. In this study, the current status of smart factory promotion was examined, and problems occurring in the process of promoting smart factory support projects were identified. The improvement plans were derived so that more efficient projects could be promoted in the future.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.114-120
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• 2021

Furniture is an essential element in the area of human residence, and the necessity of system furniture suitable for the pursuit of unity in design, which clearly distinguishes the various and flexible arrangements and characteristics of space, is gradually expanding. The elderly population in Korea currently exceeds 15%, and is expected to be close to 40% by 2050. An increasing number of elderly generations are showing different behavioral patterns, such as sharing information, health care, and seeking independence from children. In order to maintain an independent daily life, a stable living environment has become essential, but as a result of a study that safety accidents caused by households increase due to a decrease in cognitive ability and physical ability, the need for a suitable household has increased. Therefore, the biological changes and characteristics of the elderly were investigated, and the concept definition, scope and limitations of system households were studied. In addition, by grasping the changes in the home appliance market and trends in the home appliance market, the design direction of system furniture required by the elderly was presented.

• Journal of Korean Society of Rural Planning
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• v.27 no.1
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• pp.9-20
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• 2021

In order to develop practical indicator that can diagnose the regional conditions and characteristics of fishing villages, this study reviewed domestic and foreign researches and selected the diagnostic indicator of fishing villages by spatial unit. The major categories are divided into population and society, economic conditions, and living conditions. The middle categories consists of population, household, industry, tourism, settlement, environment, safety, health and welfare, education, and culture and leisure. The indicator were selected with reference to the existence of statistical data officially provided according to the spatial range(Si/Gun, eup/myeon, village). Based on the selected indicator, the test evaluation was conducted in Jindo-gun, Jeollanam-do by applying data that can be obtained from KOSIS and web GIS. It is judged that the diagnostic indicator developed through this research can be used in various ways from the planning stage to the implementation stage of the regional development project, such as grasping the current conditions, setting improvement targets, promotion and evaluation/monitoring of the project. In addition, it is expected that it will be possible to carry out regional diagnosis for each spatial unit and to plan and implement regional development projects by giving priority to areas where the level of each department is insufficient.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.157-164
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• 2022

This study was to analyze consumer confidence, satisfaction and repurchase intention after categorizing food-related lifestyle among 488 consumers who had experience purchasing convenience store lunch boxes. The data were analyzed with PASW 18.0 using frequency analysis, k-means cluster analysis, crosstabs analysis and one-way ANOVA. According to findings, first of all, types of food-related lifestyle are divided into 4 groups: a type of eating out(11.7%), a type of convenience seeking(18.3%), a type of food indifference(15%), a type of dietary interest(55%). Secondly, the types of food-related lifestyle showed statistically significant difference gender, age, marital status, education, monthly average household income, monthly average allowance, job, monthly average number of lunch box buying, lunch box purchase time zone and average one cost of lunch box buying of socio-economic variables. Thirdly, convenience seeking and dietary interest type showed the highest in consumer confidence and dietary interest type showed the highest level of satisfaction and repurchase intention.

• 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.

• Journal of Home Health Care Nursing
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• v.29 no.3
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• pp.288-300
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• 2022

Purpose: This study aimed to investigate the association of social participation and depressive symptoms with health-related quality of life (HRQoL) among older adults living in urban and rural areas. Methods: This secondary, cross-sectional study was conducted with a total of 66,765 adults aged ≥65 years (urban-26,485 and rural-40,280) who participated in the household and individual surveys of the Korea Community Health Survey 2019. Data on the main study variables including social participation, depressive symptoms, and HRQoL were collected from August 16 to October 31, 2019. Multiple linear regression was used to identify the factors affecting HRQoL in urban and rural older adults. Results: The proportion of social participation (χ²=354.69, p<.001) and the level of HRQoL (χ²=12.06, p<.001) were significantly higher in older adults living in urban area than those in rural area. However, there was no significant difference in depressive symptoms between older adults living in urban and rural areas. Multiple linear regression analysis showed that social participation and depressive symptoms were significant predictors of HRQoL in both urban and rural older adults. Conclusion: Our main finding highlights that active participation in social activities and management of depressive symptoms in older adults regardless of living arrangements are crucial to improve HRQoL in later life. Interventions to increase social participation include early assessment of depressive symptoms in the community to promote HRQoL. More longitudinal studies are needed to identify the factors associated with HRQoL between older adults living in urban and rural areas while considering neighborhood environment and living arrangements.

• Land and Housing Review
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• v.14 no.1
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• pp.67-82
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• 2023

Using the Artificial Neural Network model and Binary Logistic Regression model, this study investigates influence factors on the quality of life in terms of housing environment during the COVID-19 in Seoul. The results show that the lower the satisfaction level of housing policy, the lower the quality of life in the employment field and the lower the quality of residential field. On the other hand, permanent workers and self-employed respondents have experienced improvement in residential quality during the pandemic. A limitation of this study is associated with disentangling the causal relationship using the 'black box' characteristics of ANN method.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.1
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• pp.9-17
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• 2022

As the COVID-19 pandemic situation worsens, the time spent indoors increases, and the exposure to indoor environmental pollution such as indoor air pollution and noise also increases, causing problems such as deterioration of human health, stress, and discord between neighbors. This paper designs and implements a system that measures and monitors indoor air quality and noise, which are representative evaluation criteria of the indoor environment. The system proposed in this paper consists of a particulate matter measurement subsystem that measures and corrects the concentration of particulate matters to monitor indoor air quality, and a noise measurement subsystem that detects changes in sound and converts it to a sound pressure level. The concentration of indoor particulate matters is measured using a laser-based light scattering method, and an error caused by temperature and humidity is compensated in this paper. For indoor noise measurement, the voltage measured through a microphone is basically measured, Fourier transform is performed to classify it by frequency, and then A-weighting is performed to correct loudness equality. Then, the RMS value is obtained, high-frequency noise is removed by performing time-weighting, and then SPL is obtained. Finally, the equivalent noise level for 1 minute and 5 minutes are calculated to show the indoor noise level. In order to classify noise into direct impact sound and air transmission noise, a piezo vibration sensors is mounted to determine the presence or absence of direct impact transmitted through the wall. For performance evaluation, the error of particulate matter measurement is analyzed through TSI's AM510 instrument. and compare the noise error with CEM's noise measurement system.

• Textile Coloration and Finishing
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• v.33 no.4
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• pp.250-257
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• 2021

Laundry industry has traditionally been considered an industry that generates large amounts of wastewater and Volatile Organic Compounds(VOCs). This is still the case until now. Household laundry detergents are produced and distributed within the safety regulations on the amount of harmful substances detected. While industrial laundry detergents are often distributed without safety regulations, and even laundry workers manufacture and use them on their own. This contaminates water and air and also threatens the safety of workers. This study is a basic study for distributing eco-friendly detergents(EFD-A) developed through previous studies to the laundry industry. Safety, washability and wastewater quality of EFD-A are evaluated. Three existing commercial detergents(PD1, PD2, LD4) are also evaluated to compare with EFD-A. The safety of detergents is confirmed by the content of optical brightener, VOCs, and arsenic. Washability is evaluated by the difference in reflectance of washed and unwashed artificial soiled fabrics according to detergent concentration, washing temperature, and washing time. TOC is used as the index of assessing the wastewater quality. The results are as follows; EFD-A doesn't contain the optical brighteners, VOCs, and arsenic. The optimal washing conditions for EFD-A are 3 g/L concentration, 40 ℃ washing temperature, and 30 min washing time. The soil removal efficiency is about 71 %, which was similar to or somewhat superior to that of PD1, PD2, and LD4. TOC is 63.5 %, which is about 15 % lower than the discharge limit. Through this study, the developed detergent EFD-A can be used as a safe and eco-friendly detergent for the human body and the environment.

• Journal of the Korea Society of Computer and Information
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• v.27 no.11
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• pp.199-207
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• 2022

This study was conducted with the purpose of presenting data for preparing elderly work policies and mental health policies by comparing and analyzing the effects of working ability on depression of urban and rural elderly people. Data from the 16th year of the Korea Welfare Panel (2021) were used for the analysis data for this study, and data from 4,838 elderly people aged 65 and over were extracted and used for analysis. For the analysis method, descriptive statistics and regression analysis were performed using SPSS 22.0. As a result of the study, it was found that the depression decreased when the elderly were able to work. It was found that health status and household type had an effect on urban elderly, and health status and education level of rural elderly affected. Therefore, it is necessary to provide local social welfare services that are appropriate for the local characteristics, suitable for the resources and environment of urban and rural areas.