• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.2
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• pp.243-252
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• 2020

Recently, the proportion of housing lease has been increasing to an overwhelming level in line with the increase of single-person households and the change in the form of housing. In the normal case, the use of rental-type housing is subject to a housing lease agreement through a licensed real estate agent. In the event of a transaction conclusion, licensed real estate agent shall issue a contract containing the personal information of the lessee, the renter, and the licensed real estate agent to the transaction party. In this case, it is necessary for the lessee to provide the contract to a third party. This paper analyzes relevant laws and regulations and the status of housing transactions, focusing on personal information processed between offline housing lease agreements. And when issuing a contract through IRTS, we propose a way to protect personal information by providing a third party in three forms: information Data Subject-based, Purpose of usage-based De-identification, and Certificate of Contract.

• Journal of the Korea Convergence Society
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• v.9 no.5
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• pp.137-143
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• 2018

The 4th industrial revolution will have brought smart furniture integrated with IT technology and provide a convenient and comfortable environment for our lives. Therefore, this study analyzed the design characteristics of fusion integrated furniture based on changes of the times. In 20th centuries, characteristic of fusion design was based on architectural structure, new material and function. In 21st centuries, smart home furniture and network system was developed based on IT technology. In addition, due to the increase of single-person households and various consumer purchasing patterns, combined functions for small spaces and multi-function furniture was also developed. In conclusion, the trends of convergence design furniture from 20 to 21st century showed that furniture industry has a significant potential for high-tech technology. This study may be a useful information in developing convergence design furniture industry.

• Journal of Digital Contents Society
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• v.18 no.2
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• pp.249-256
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• 2017

As single-person households increase, demands for self interior design has been also increasing. The furniture arrangement takes big part of interior design. But sometimes people need professional helps for the proper and effective arrangement of furniture which makes self-interior design harder. Often, people share information and advices about interior design through Social Network Service. Experts could help directly but this approach would have several issues: First, the detailed and accurate advice would be difficult because experts have to examine the space through 2D pictures or video. Second, they have to make an appointment which would cause inconvenience to both customer and expert. In this paper, the furniture arrangement application for real-time sharing of interior design based on virtual reality is proposed to make up for the weak points. People can precisely share information and advice about self-interior design through this application in realtime, reducing waste of time and energy.

• Journal of the Korean Dietetic Association
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• v.26 no.2
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• pp.85-100
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• 2020

Eating alone has recently become a very common dietary pattern in modern society. This study investigated the relationship between the frequency of eating alone and health related issues including chronic diseases, depression, and the quality of life (QOL). The 2016 Korea National Health and Nutrition Examination Survey provided the basic data for this study. According to the general analysis of 4,910 adults aged over 19 years or older, the average age in the 'eating alone' group was significantly higher (P<0.001), and the ratio of single-person households was significantly higher as the number of times of eating alone increased (P<0.001). Analysis of the relationship between the risk factors of metabolic syndrome according to the number of times eating alone, using logistic regression analysis, showed that the odds ratio of metabolic syndrome in the 'two times eating alone a day' group was approximately 1.3 times higher (OR=1.275) after being corrected for gender, age and energy intake. For the 'three times eating alone a day' group, the metabolic syndrome odds ratio was higher in all models except for model 1 and 5 (P for trend<0.05). The prevalence of depression using patient health questionnaire-9 (PHQ-9) was higher as the number of eating alone increased, and the QOL was inversly related with the number of meals eating alone (P for trend<0.01). We hope the results of this study will raise awareness of the health of those people who eat alone and lay the groundwork for individuals who eat alone and gain social attention.

• Journal of Convergence for Information Technology
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• v.11 no.9
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• pp.201-207
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• 2021

This study investigated the effects of self-esteem on the depression of baby boomer and eco-boomer generation (the children of baby boomers) living alone. It was identified from the point of view of comparison between the two groups. Using the 15th data of the 2020 Korea Welfare Panel, an independent sample t-test and hierarchical regression analysis were conducted with the data of baby boomers who live alone (born in 1955-1963) and eco-boomers who live alone (born in 1979-1992). The results of this study show that baby boomers who live alone had lower levels of education, income, and health condition than the eco-boomers who live alone, and had higher level of depression, but relatively lower level of self-esteem. In both groups, self-esteem had an effect on depression, but it was confirmed that the influence was greater in the group of baby boomers (Adjusted R2 .259) than in eco-boomers (Adjusted R2 .083). Based on the results of this study, practical and policy alternatives were suggested to prevent the depression among middle-aged, elderly people, and young adults who live alone.

• Korean Journal of Community Nutrition
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• v.26 no.3
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• pp.200-210
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• 2021

Objectives: This study was conducted to investigate the awareness, knowledge, and behavior about food hygiene·safety among the elderly, and to provide basic data on this for their healthy dietary life. Methods: The study was conducted through a survey using a self-administered questionnaire on 473 elderly people over 60 years old living in Seoul and Gyeonggido. The questionnaire was designed to examine general characteristics, meal preparation status, the relation between awareness, knowledge, food hygiene behavior, and safety. Results: Among the particpants, 44.2% of the total people surveyed were elderly married couples, and 14.0% were single-person households. For men, most of the meals were prepared by the spouse (74.1%), and among women, 93.8% prepared their meals themselves (P < 0.001). 61.3% of the total subjects answered that they were very interested in food hygiene and safety. Men (32.4%) thought it was more difficult to collect food hygiene·safety information compared to women (14.0%, P < 0.001). The knowledge score about food hygiene·safety was 0.60 (P < 0.05) and the behavior score was 3.70 (P < 0.001). The correlation coefficient between knowledge and behavior according to food hygiene·safety was 0.371 (P < 0.001). Conclusions: The food hygiene·safety behavior of the elderly was associated with knowledge (P < 0.001). Therefore, food hygiene·safety education is necessary to ensure information availability and promote the health of the elderly.

• Advances in Computational Design
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• v.4 no.2
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• pp.73-90
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• 2019

The growth in the number of single-member households is a critical issue worldwide, especially among the elderly. For those living alone, who may be unaware of their health status or routines that could improve their health, a continuous healthcare monitoring system could provide valuable feedback. Assessing the performance adequacy of activities of daily living (ADL) can serve as a measure of an individual's health status; previous research has focused on determining a person's daily activities and extracting the most frequently performed behavioral patterns using camera recordings or wearable sensing techniques. However, existing methods used to extract common patterns of an occupant's activities in the home fail to address the spatio-temporal dimensions of human activities simultaneously. Though multiple sequence alignment (MSA) offers some advantages - such as inherent containment of the spatio-temporal data in sequence format, and rapid identification of hidden patterns - MSA has rarely been used to extract in-home ADL routines. This research proposes a method to extract a household occupant's ADL routines from a cumulative spatio-temporal data log of occupancy collected using a non-intrusive method (i.e., a tomographic motion detection system). The findings from an occupant's 28-day spatio-temporal activity log demonstrate the capacity of the proposed approach to identify routine patterns of an occupant's daily activities and to reveal the order, duration, and frequency of routine activities. Routine ADL patterns identified from the proposed approach are expected to provide a basis for detecting/evaluating abrupt or gradual changes of an occupant's ADL patterns that result from a physical or mental disorder, and can offer valuable information for home automation applications by enabling the prediction of ADL patterns.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.6
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• pp.15-20
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• 2020

Recently, the real estate is of high interest. This is because real estate, which was considered only a residential environment in the past, is recognized as a stable investment target due to the ever-growing demand on it. In particular, in the case of the domestic market, despite the decrease in the number of people, the number of single-person households and the influx of people to large cities are accelerating, and real estate prices are rising sharply around the metropolitan area. Therefore, accurately predicting the prospects of the future real estate market becomes a very important issue not only for individual asset management but also for government policy establishment. In this paper, we developed a program to predict future real estate market prices by learning past real estate sales data using machine learning techniques. The data on the market price of real estate provided by the Korea Appraisal Board and the Ministry of Land, Infrastructure and Transport were used, and the average sales price forecast for 2022 by region is presented. The developed program is publicly available so that it could be used in various forms.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.189-194
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• 2021

With the recent increase in the proportion of single-person households, starting in 2016, the domestic shared personnel mobility market such as electric kickboards and electric wheels has grown rapidly. Personal transportation means such as electric kickboards are power devices using electricity and are eco-friendly, lightweight, and do not occupy a separate parking space. Above all, it has the advantage of being convenient to travel short and medium distances, so it has been able to obtain a lot of demand from younger users who pursue reasonable consumption, and accordingly, the related market has grown rapidly. However, as absence of the charging station for electric kickboards, electric kickboards are left everywhere on the road, and are emerging as a threat to safety as well as aesthetics. Therefore, this paper aims to research and propose a new IoT management system for efficient recovery of shared electric kickboards. Through this system, it is expected that the high recovery rate of the electric kickboard can be maintained, and in conclusion, the safety of the user and the surrounding environment can be improved.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.1
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• pp.11-18
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• 2019

There is a growing demand for public rental housing since housing price increased rapidly and socially vulnerable people need more stable housing. The purpose of this study is to investigate housing evaluation (satisfaction), moving plan, and residential service according to the type of the public rental housing and the characteristics of the resident, and to suggest the development direction for comprehensive housing services including the community level. Data used for analysis in this study are from 2016 Seoul panel survey of public rental housing residents. A total of 3009 questionnaire from public rental households were collected in 2016 Seoul panel survey. In order to investigate housing requirements, we analyzed household characteristics, housing satisfaction, moving plans, welfare services, residential activities and community facilities, social environment. In this study, the difference of residential satisfaction, moving plan, and residential service according to the type of the public rental housing and the characteristics of the resident is analyzed to identify their housing demands. As a result, there were differences in residential satisfaction, moving plan, and residential service depending on type of public rental housing and characteristics of residents. Residents in public rental housing modified from the multi-family housing after purchase showed lower residential satisfaction, and higher intention for moving plan compared to residents living in other type of public rental housing. In the residential service, residents in permanent lease type have higher experience of housing service as well as demand on housing service. Especially single household, elderly household, female household, or household with handicapped person indicated higher demand for housing services.