• Title/Summary/Keyword: 노인 이미지

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Senior Citizens' Image Preference for Interior Design Styles (실내디자인 스타일에 대한 노인들의 선호이미지 연구)

  • Seo, Min-Woo;Jeong, Yoo-Na
    • Korean Institute of Interior Design Journal
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    • v.21 no.6
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    • pp.109-120
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    • 2012
  • As Korea has rapidly entered the aging society, the Korean government and academia are currently undergoing many researches on senior citizens. There also has been an increase in senior citizens' awareness on the importance of spatial designs that reflect the newly emerged needs brought out by their psychological and emotional changes as well as their physical aspects. Therefore, the purpose of this research is to propose a model for senior citizens' image preference to be adopted in future developments for senior-friendly spatial designs. A literature review and a questionnaire survey were implemented as research methods. The questionnaire survey was conducted at two senior welfare centers located in Seoul and Ansan and two disparate senior colleges, on the subjects of 86 senior citizens aged 60 and older. 7 styles of Romantic, Classic, Country, Modern, Natural, Casual, and Traditional were chosen for the study and the realms to apply the image preference were divided into Space, Element1 and Element2. For Space, its subcategories have been restricted to living room and bedroom while color, furniture and lighting for Element1 and material, pattern and props for Element2. Survey results were statistically analyzed for the correlation among socio-demographic factors of senior citizens, spaces and the elements. The study result showed that older age and men tended to prefer the modern style than younger age or women, and younger women preferred the romantic style. For the color preference in Element1, older men preferred the classic style while women preferred the romantic style. And, for the furniture preference, men with higher income preferred the natural style while women preferred the romantic style. For the pattern preference in Element2, younger people preferred the casual style and it showed that the housing type was the main reason for their preferences. Therefore, the image preference according to their age and gender shall be taken account of as the most important factors when designing environments for senior citizens.

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Development of Educational Materials as a Card News Format for Milk Intake Education of the Elderly in Korea (노인 대상 우유 섭취 교육을 위한 카드뉴스 개발)

  • Kim, Sun Hyo
    • Journal of Korean Home Economics Education Association
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    • v.34 no.1
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    • pp.1-16
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    • 2022
  • This study was performed to develop educational materials in the form of card news that can be easily accessed on mobile phones or the Internet for milk intake education of the elderly based on the scientific evidence and their needs. The themes included in the card news were selected based on the literature and focus group interviews with 10 elderly individuals (78.10±6.66 years old). For the selected themes, information that elderly users most want to know was selected for the purpose of effective communication, while reflecting the eating habits, lifestyle, living environment, and nutrition and health status of the elderly in Korea. The draft of the card news was reviewed by the researcher, consulted by experts, and surveyed with 50 elderly individuals (70.44±5.16 years old). Based on the results of the review, consultations, and the survey, a final draft of the card news consisting of 12 pages was completed. The card news of the present study is expected to be an effective educational material considering the high level of satisfaction (higher than 4 on the 5-point scales) indicated by the survey respondents. Therefore this card news is expected to help increase milk intake through friendly milk education for the elderly.

Classification of Clothing Using Googlenet Deep Learning and IoT based on Artificial Intelligence (인공지능 기반 구글넷 딥러닝과 IoT를 이용한 의류 분류)

  • Noh, Sun-Kuk
    • Smart Media Journal
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    • v.9 no.3
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    • pp.41-45
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    • 2020
  • Recently, artificial intelligence (AI) and the Internet of things (IoT), which are represented by machine learning and deep learning among IT technologies related to the Fourth Industrial Revolution, are applied to our real life in various fields through various researches. In this paper, IoT and AI using object recognition technology are applied to classify clothing. For this purpose, the image dataset was taken using webcam and raspberry pi, and GoogLeNet, a convolutional neural network artificial intelligence network, was applied to transfer the photographed image data. The clothing image dataset was classified into two categories (shirtwaist, trousers): 900 clean images, 900 loss images, and total 1800 images. The classification measurement results showed that the accuracy of the clean clothing image was about 97.78%. In conclusion, the study confirmed the applicability of other objects using artificial intelligence networks on the Internet of Things based platform through the measurement results and the supplementation of more image data in the future.

Contents Analysis of the Elderly Housing in the Unit "Family Life & Housing" - Focused on the 9th Grade Textbooks of Technology & Home Economics - (주생활 단원에서의 노인주거 관련 교과내용 분석 - 중학교 3학년 기술.가정 교과서를 중심으로 -)

  • Jang, Sang-Ock
    • Journal of Korean Home Economics Education Association
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    • v.20 no.2
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    • pp.31-46
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    • 2008
  • The purpose of this study is to analyze the contents of elderly housing in the unit "Family Life & Housing" in Technology & Home Economics 9th grade textbooks. The results of this study are as follows: First, the contents, illustrations, pictures, floor-plans, graphs and tables in current unit "Family Life & Housing" varied widely among textbooks and some didn't even contain these informations. Illustrations and pictures which are suit to the content and which contain positive image of space and living should be chosen. Second, most of the contents about elderly housing were concentrated on the life cycle, three-generation housing and universal design, discussed in chapter 'utility of living space.' The unification of overlapped contents and description which don't have stereotype about elderly housing are needed. Not only the interior environment but also the exterior environment of the elders and life-support service for them should be included in the contents. Contents that reflect the change of future population composition and the ratio of three-generation household are required. The elderly housing floor plan needs to be diversified in quantity such as ones which reflect the Korean characteristics or ones which enable person an independent life.

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Implicit and Explicit Attitudes of Korean Children towards Older Adults (한국 어린이의 노인에 대한 태도: 명시적 태도와 암묵적 태도 차이를 중심으로)

  • Han, Gyoung-hae;Seok, Minae;MaloneBeach, E.E.
    • 한국노년학
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    • v.37 no.2
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    • pp.475-496
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    • 2017
  • Increasing evidence shows that ageist attitudes towards older adults develop quite early in childhood in Western culture, yet, empirical research on this topic in Korea is lacking. It has been argued that as Korea has become more youth oriented, negative views of aging have emerged and Korean children are increasingly exposured to negative stereotypes of older adults. Nuclearization of family structure and consequent reduction of intergenerational interaction is considered to be another important factor. The purpose of this study is to find out whether Korean children have ageist attitudes. Acknowledging the possibility that children tend to report in socially appropriate ways to the explicit measures of ageism, we included implicit measures of ageism. Data was collected from 570 fourth to sixth grade elementary school children selected by quota sampling. The current study used Child-Age Implicit Association Test and two other explicit measurements. The original versions were modified to be culturally applicable to the Korean context. Results indicated that when measured explicitly, children do not report preferring younger person than older person. However when measured implicitly, it was found that children at this young age already reveal negative biases toward the elderly. Contrast to the fact that the level of explicit ageism is significantly different by demographic characteristics of children, no statistical difference in the level of implicit ageism is detected. Based on the results, implications are discussed.

Effects of Image-Use Medication Education on Knowledge, Self-Efficacy, and Misuse of Medication in Elderly Inpatients (이미지 활용 약물교육이 노인환자의 약물지식, 복약자기효능감 및 복약오류에 미치는 효과)

  • Kim, Hyo Jung;Kim, Kon Hee
    • Journal of Korean Clinical Nursing Research
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    • v.24 no.1
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    • pp.56-66
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    • 2018
  • Purpose: This quasi-experimental study was done to develop image-use medication education for older inpatients and to evaluate the effects on their knowledge, self-efficacy, and misuse of medication. Methods: Fifty nine elders (experimental group - 30, and control group - 29) received medication education once a week for 3 weeks. Data were collected before (pretest), right after (post 1), and 4 weeks after the program finished (post 2). Drug Use Knowledge Scale, Self-efficacy for Appropriate Medication Use Scale, and Drug Misuse Scale were used. Analysis included descriptive statistics, $x^2$ test, repeated measured ANOVA. Results: Findings showed significant differences in knowledge of medication and drug misuse between groups according to time(pretest, post 1, and post 2). At post 1 and post 2, knowledge and self-efficacy levels were significantly higher and misuse scores were lower in the experimental group compared to the control group. Conclusion: Findings indicate that elder-tailored medication education consisting of group education and individual guidance with images is effective and practical for medicine safety in elderly inpatients. Moreover, it could lead to a healthier life for elders, even elders with multiple chronic diseases and taking several medications.

A Study on the Utilization of 2D Image Based on 360 VR (360 VR 기반 2D 이미지 활용 방안 연구)

  • Im, So-Yeon;Lee, Junyeong;Park, Cheol-woo;Lee, Young-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.481-483
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    • 2022
  • This study was based on 360-degree VR images, the next-generation media representative. Among the elderly living in nursing homes with low cognitive ability, we would like to study ways to effectively search maps using 2D images when searching maps directly through user scenarios.

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Verification Method for Machine Learning Based On Video Extraction ImageFiles (동영상 추출 이미지파일을 이용한 머신러닝 검증 방법)

  • Jeo, Ja-Sam;Jeo, Ja-E
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.33-35
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    • 2020
  • 이전 연구에 존재했던 영상에서 이미지를 추출하여 학습 데이터로 사용 할 때 시계열성을 고려하지 않은 상태에서의 검증은 정확하지 않을 수 있음을 설명한다. 정확한 형체를 가진 물체의 경우 매 프레임 마다 일정한 모양을 유지할 가능성이 크지만, 기체나 액체처럼 유동성이 큰 형태를 분사 혹은 방류 할 때 순간적인 간섭 혹은 분산에 의해 실제 값이 분사 량 혹은 방류량과 다를 수 있다. 본 연구에서는 이전 연구 중 Yolov3와 youtube 영상을 이용하여 연기 형태를 추출하고, 이를 Resnet에 학습시킨 연구를 이용하여 이와 비슷한 사례의 연구에서 나타날 수 있는 검증 오류들을 설명한다.

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A Leaf Vein Density Calculation System Using Blueberry Leaf Images (블루베리 잎 이미지를 이용한 잎맥 밀도 산출 시스템의 구현)

  • GyeongJu Jang;EunSeok Park;DongHwan Choi;YoungGyun Kim
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.05a
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    • pp.295-297
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    • 2023
  • 채식이 점차 보편화되어감에 따라 소비자를 만족시키기 위한 양질의 작물 생산 및 신품종 개발 필요성도 커져가고 있다. 이 때 식물의 건강 상태나 당도, 식감 등의 품질 조사를 위해서는 표현형 데이터 획득이 필수적이다. 표현형이란 식물의 잎과 줄기, 과실 등에서 겉으로 드러나는 형질을 의미하며, 잎맥밀도도 중요한 표현형 중 하나이다. 하지만 이를 연구자가 수작업으로 조사할 경우에는 시간과 노동력 소모가 크며 측정 인력이나 측정 환경에 따른 오차도 큰 문제점이 있다. 따라서 본 연구에서는 디지털 기술을 통해 잎 이미지에서 잎맥을 추출하여 잎맥 밀도를 분석하는 시스템을 구현함으로써 작물 생산 자동화 및 신품종 개발 효율성 향상에 기여하고자 한다.

Experiences of Ageism and "Self-Ageism" (노인차별 경험과 자기연령주의(self-ageism))

  • Kim, Juhyun;Oh, Hyein;Ju, Kyonghee
    • 한국노년학
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    • v.40 no.4
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    • pp.659-689
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    • 2020
  • This study focuses on the process of internalizing the perception of negative discrimination among elderly people who have experienced age discrimination. The grounded theory method was used to identify the age discrimination experienced by the elderly in their daily lives and to explore the consequences of such discrimination through self-ageism. According to the analysis results, the elderly respond not only to explicit discrimination but also to implicit discrimination. In this process, the stronger the pain of old age (poverty, disease, ignorance, and solitude) and the stronger the memory of failing to respond to discrimination, the higher the level of self-ageism. "Self-ageism" has internalized the negative image of the elderly, who have been discriminated against by age, resulting in disadvantages in terms of quality of life through various reject/separate/suspension actions in reality. In the presence of supportive resources such as health, institutional support, and caregivers, the elderly have room to overcome self-ageism through more active ways. However elderly people who cannot motivate themselves and they lack these resources, elderly are trapped in negative reflux caused by self-ageism and sustained a depressed and shrinking life. In this state, it is not easy to motivate themselves and make physical, cognitive, emotional and social responses. Therefore, in this analysis, we specifically noted two aspects, contextual conditions and interventional conditions, and proposed programs for synchronizing senior citizens and improving resiliency from a microscopic point of view, and argued for the need to develop systems such as supplementing welfare and health service systems related to the entire life cycle, expanding accessibility and 'age-integration' through 'Community Care', awareness improvement and anti-discrimination laws.