28 research outputs found

    ์‚ฐ๋ฆผ๋ณต์ง€๋ฅผ ์œ„ํ•œ ์‚ฐ๋ฆผ์ž์›์˜ ํ˜„๋ช…ํ•œ ์ด์šฉ์กฐ๊ฑด

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    ๋…ธํŠธ : ๋ณธ ๊ฐ„ํ–‰๋ฌผ์€ ๊ตญํ† ์—ฐ๊ตฌ์›์—์„œ 2014๋…„ 8์›”์— ๋ฐœํ–‰ํ•œ [์‚ฐ๋ฆผ์˜ ํ˜„๋ช…ํ•œ ์ด์šฉ๊ณผ ๊ตญ๋ฏผ๋ณต์ง€] ํŠน์ง‘์˜ ์ œ 3๋ถ€์ž…๋‹ˆ๋‹ค

    Poly(4`-(2,2-dialkynyl)ethenylstilbene-4-carboxylate)์˜ ํ•ฉ์„ฑ ๋ฐ ํŠน์„ฑ ์—ฐ๊ตฌ

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    Thesis (master`s)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์‘์šฉํ™”ํ•™๋ถ€,2003.Chromophoric interactions in conjugated polymers have critical effects on performance of electroluminescence (EL) devices. One of the tactics to control it is to optimize the degree of insulation with alkyl chains. So we suggested a AB2 type hyperbranched copolymer system which have 4-ethenylstilbene as a chromophore for A, and various alkyl chains for B. Via Heck reaction followed by Sonogashira reaction, we successfully synthesized ready-to-polymerize monomer with good yield, and the polymers were obtained through optimized Mitsunobu condensation. Synthesized polymers showed moderate thermal stability up to 300 oC. Compared with monomer, polymer solution in CHCl3 presented same absorption transition. In addition, ฮปabs maxs of polymer films coated on to glass were blue shifted relative to polymer solution, and ฮปems max s of them were red shifted. As varying alkyl chain length from butynyl to undecynyl, fluorescence quantum yields were increased 15-fold.Maste

    ์ผ๋ฐ˜ํ™” ๊ฒฝ์‚ฌ ์ฒ˜์ง๋ฒ•์„ ์ด์šฉํ•œ ์ค‘๊ฐ„ ๊ฐ‘ํŒ ์œ ์กฐ์„ ์˜ ์ตœ์ ๊ตฌ์กฐ์„ค๊ณ„

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธๅคงๅญธๆ ก ๅคงๅญธ้™ข :้€ ่ˆนๆตทๆด‹ๅทฅๅญธ็ง‘,1995.Maste

    Factors Affecting Life Satisfaction of Caregiving Experienced Grandparents

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ฐ„ํ˜ธ๋Œ€ํ•™ ๊ฐ„ํ˜ธํ•™๊ณผ, 2022.2. Sunghee H Tak.As the Korean womenโ€™s economic participation rate and the dual-income households have increased, the proportion of grandparents taking care of their grandchildren has increased. However, old age is a period in which health problems such as chronic diseases and functional deterioration are increasing. Various studies have been conducted in various academic fields, but there are limitations in comprehensively assessing the health of the caregiving grandparents. Therefore, it is necessary to understand the health status of the elderly in multiple dimensions, and compare the difference according to whether they have experience of caregiving or not, and to explore factors affecting the life satisfaction of the grandparents who have experience of caregiving. This study is a secondary data analysis using raw data from the โ€œ2018 7th Korean Longitudinal Study of Ageingโ€ conducted by Korea Employment Information Service. The purpose of the study is to compare the health status, social activity, physical function, cognitive function, depression, and life satisfaction of the elderly according to the grandchild care experience, and to investigate the factors that have affect on the life satisfaction of the grandparents who have experience of caregiving. In the study, the participants were 3,376 people from the โ€œ2018 7th Korean Longitudinal Study of Ageingโ€, who aged 65 and over, have grandchildren, and responded to the questionnaires all by themselves. The questionnaires of sociodemographic characteristics, disease, pain, self-rated health, social activity, physical function, cognitive function, depression, and life satisfaction from the โ€œ2018 7th Korean Longitudinal Study of Ageingโ€ were used as study variables, and the collected data analysis was performed with the SPSS 25.0 statistical analysis program. Differences of sociodemographic characteristics, disease, pain, self-rated health, social activity, physical function, cognitive function, depression, and life satisfaction according to the experience of caring for grandchildren were analyzed using independent t-test and chi-square analysis. Mann-Whitney test, ANOVA and Kruskal-Wallis test, and Pearsonโ€™s correlation are used to analyze the difference of life satisfaction according to demographic characteristics, disease, pain, self-rated health, social activity, physical function, cognitive function, and depression of the grandparents who have experience of caregiving. Multiple linear regression analysis was used to explore the factors influencing the life satisfaction of the grandparents who have experience of caregiving. The specific research results are as follows. 1) In this study, the number of diseases was significantly higher in the caregiving experienced grandparents(t=2.148, p=.032). In particular, it was found that caregiving experienced grandparents were more likely to be suffered from arthritis or rheumatism(=14.533, p<.001). The number of pain points was significantly higher in the caregiving experienced grandparents(t=2.288, p=.024), and the self-rated health of the caregiving experienced grandparents was significantly poorer(=13.020, p=.016). Among social activities, only employment status showed a significant difference in that the caregiving experienced grandparents were more likely to be unemployed(=12.276, p<.001). Activities of daily living, instrumental activities of daily living, cognitive function, depression, and life satisfaction did not differ according to the experience of caregivng. 2) The caregiving experienced grandparents seems to have higher life satisfaction if the person is younger(r=-.206, p=.014), men(t=2.927, p=.004), have a spouse(t=2.224, p=.027), and have higher education level(=17.847, p<.001). Moreover, the group without disease(Z=-2.348, p=.018) and pain(t=3.627, p<.001) had higher life satisfaction, and the better the self-rated health(r=.497, p<.001), the more frequent meeting with close friends, relatives, and neighbors(=17.656, p=.001), the greater the number of groups participating(r=.256, p=.002), the better the cognitive function(r=.453, p<.001), fewer depressive symptoms(r=-.414, p<.001), and more independent with the instrumental activities of daily living(r=-.234, p=.005) had higher life satisfaction rates. 3) Multiple linear regression analysis was performed to identify factors affecting the life satisfaction of the caregiving experienced grandparents. As a result of the analysis, meeting with close people(B=9.922, p=.011), slef-rated health(B=5.396, p<.001), cognitive function(B=.672, p=.016), and depression(B=-.497, p=.015) was found to have a significant effect on life satisfaction. Considering the results of the study, in order to improve the life satisfaction of the grandparents who experienced caregiving, it is necessary to organize a self-help group as a support system so that they can promote positive social relationship and provide emotional support. Also it is necessary to develop and apply a health promotion program that grandparents and grandchildren can do together.์šฐ๋ฆฌ๋‚˜๋ผ ์—ฌ์„ฑ์˜ ๊ฒฝ์ œ์ฐธ์—ฌ์œจ ์ฆ๊ฐ€๋กœ ๋งž๋ฒŒ์ด ๊ฐ€๊ตฌ๊ฐ€ ์ฆ๊ฐ€๋˜์—ˆ๋‹ค. ์ด๋กœ ์ธํ•ด ์กฐ๋ถ€๋ชจ๊ฐ€ ์˜์œ ์•„์˜ ์–‘์œก์— ์ฐธ์—ฌํ•˜๊ฒŒ ๋œ ๋น„์œจ์ด ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ๋…ธ๋…„๊ธฐ๋Š” ๋งŒ์„ฑ์งˆ๋ณ‘ ์ฆ๊ฐ€์™€ ์‹ ์ฒด๊ธฐ๋Šฅ ์ €ํ•˜ ๋“ฑ์˜ ๊ฑด๊ฐ• ๋ฌธ์ œ๊ฐ€ ์ฆ๊ฐ€ํ•˜๋Š” ์‹œ๊ธฐ๋กœ, ๋…ธ์ธ์ด ์†์ž๋…€๋ฅผ ๋Œ๋ณด๋Š” ๊ฒƒ์— ๋Œ€ํ•ด ๋‹ค์–‘ํ•œ ํ•™๋ฌธ๋ถ„์•ผ์—์„œ ๋‹ค๊ฐ์ ์ธ ์—ฐ๊ตฌ๊ฐ€ ์ง„ํ–‰๋˜์—ˆ์œผ๋‚˜, ์†์ž๋…€ ๋Œ๋ด„ ๋…ธ์ธ์˜ ๊ฑด๊ฐ•์„ ์ข…ํ•ฉ์ ์œผ๋กœ ํŒ๋‹จํ•˜๋Š”๋ฐ ํ•œ๊ณ„๊ฐ€ ์žˆ์—ˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋…ธ์ธ์˜ ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ์œ ๋ฌด์— ๋”ฐ๋ฅธ ๋…ธ์ธ์˜ ๊ฑด๊ฐ•์ƒํƒœ๋ฅผ ์ข…ํ•ฉ์ ์œผ๋กœ ํŒŒ์•…ํ•˜๊ณ , ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์‚ถ์˜ ๋งŒ์กฑ๋„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ์„ ํƒ์ƒ‰ํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ํ•œ๊ตญ๊ณ ์šฉ์ •๋ณด์›์˜ โ€œ2018๋…„ ์ œ7์ฐจ ๊ณ ๋ นํ™”์—ฐ๊ตฌํŒจ๋„์กฐ์‚ฌโ€œ์˜ ์›์‹œ์ž๋ฃŒ๋ฅผ ํ™œ์šฉํ•œ 2์ฐจ ์ž๋ฃŒ ๋ถ„์„ ์—ฐ๊ตฌ๋กœ, ๋งŒ 65์„ธ ์ด์ƒ ๋…ธ์ธ์˜ ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ์œ ๋ฌด์— ๋”ฐ๋ฅธ ์งˆ๋ณ‘, ํ†ต์ฆ, ์ฃผ๊ด€์  ๊ฑด๊ฐ•์ƒํƒœ, ์‚ฌํšŒํ™œ๋™, ์‹ ์ฒด๊ธฐ๋Šฅ, ์ธ์ง€๊ธฐ๋Šฅ, ์šฐ์šธ, ๊ทธ๋ฆฌ๊ณ  ์‚ถ์˜ ๋งŒ์กฑ๋„๋ฅผ ๋น„๊ตํ•˜๊ณ , ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์‚ถ์˜ ๋งŒ์กฑ๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์š”์ธ์„ ํƒ์ƒ‰ํ•˜๊ธฐ ์œ„ํ•ด ์‹œํ–‰๋˜์—ˆ๋‹ค. ์—ฐ๊ตฌ ๋Œ€์ƒ์€ โ€œ2018๋…„ ์ œ7์ฐจ ๊ณ ๋ นํ™”์—ฐ๊ตฌํŒจ๋„์กฐ์‚ฌโ€์—์„œ ์†์ž๋…€๊ฐ€ ์žˆ๋Š”, ํƒ€์ธ์˜ ๋„์›€ ์—†์ด ์Šค์Šค๋กœ ์„ค๋ฌธ์ง€์— ์‘๋‹ตํ•œ 65์„ธ ์ด์ƒ ๋…ธ์ธ 3,376๋ช…์„ ์ถ”์ถœํ•˜์˜€์œผ๋ฉฐ, ๋ถ„์„์— ํ™œ์šฉํ•œ ๋ณ€์ˆ˜๋Š” โ€œ2018๋…„ ์ œ7์ฐจ ๊ณ ๋ นํ™”์—ฐ๊ตฌํŒจ๋„์กฐ์‚ฌโ€์˜ ์ธ๊ตฌ์‚ฌํšŒํ•™์  ํŠน์„ฑ๊ณผ ์งˆ๋ณ‘, ํ†ต์ฆ, ์ฃผ๊ด€์  ๊ฑด๊ฐ•์ƒํƒœ, ์‚ฌํšŒํ™œ๋™, ์‹ ์ฒด๊ธฐ๋Šฅ, ์ธ์ง€๊ธฐ๋Šฅ, ์šฐ์šธ, ๊ทธ๋ฆฌ๊ณ  ์‚ถ์˜ ๋งŒ์กฑ๋„์˜ ์„ค๋ฌธ ๋ฌธํ•ญ์„ ์ด์šฉํ•˜์˜€๋‹ค. ์ˆ˜์ง‘๋œ ์ž๋ฃŒ์˜ ๋ถ„์„์€ SPSS 25.0 ํ†ต๊ณ„๋ถ„์„ ํ”„๋กœ๊ทธ๋žจ์„ ์ด์šฉํ•˜์—ฌ ์‹ค์‹œํ•˜์˜€๋‹ค. ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ์œ ๋ฌด์— ๋”ฐ๋ฅธ ์ธ๊ตฌ์‚ฌํšŒํ•™์  ํŠน์„ฑ, ์งˆ๋ณ‘๊ณผ ํ†ต์ฆ, ์ฃผ๊ด€์  ๊ฑด๊ฐ•์ƒํƒœ, ์‚ฌํšŒํ™œ๋™, ์‹ ์ฒด๊ธฐ๋Šฅ, ์ธ์ง€๊ธฐ๋Šฅ, ์šฐ์šธ, ๊ทธ๋ฆฌ๊ณ  ์‚ถ์˜ ๋งŒ์กฑ๋„์˜ ์ฐจ์ด๋Š” ๋…๋ฆฝ t๊ฒ€์ •๊ณผ ์นด์ด์ œ๊ณฑ ๋ถ„์„์„ ์ด์šฉํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๊ณ , ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์ธ๊ตฌ์‚ฌํšŒํ•™์  ํŠน์„ฑ, ์งˆ๋ณ‘๊ณผ ํ†ต์ฆ, ์ฃผ๊ด€์  ๊ฑด๊ฐ•์ƒํƒœ, ์‚ฌํšŒํ™œ๋™, ์‹ ์ฒด๊ธฐ๋Šฅ, ์ธ์ง€๊ธฐ๋Šฅ, ์šฐ์šธ์— ๋”ฐ๋ฅธ ์‚ถ์˜ ๋งŒ์กฑ๋„์˜ ์ฐจ์ด๋ฅผ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•ด Mann-Whitney test, ANOVA์™€ Kruskal-Wallis test, Pearsonโ€™s correlation๋ฅผ ์ด์šฉํ•˜์˜€๋‹ค. ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์‚ถ์˜ ๋งŒ์กฑ๋„์˜ ์˜ํ–ฅ์š”์ธ์„ ํƒ์ƒ‰ํ•˜๊ธฐ ์œ„ํ•ด ๋‹ค์ค‘์„ ํ˜•ํšŒ๊ท€๋ถ„์„์„ ์ด์šฉํ•˜์˜€๋‹ค. ๊ตฌ์ฒด์ ์ธ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. 1) ๋ณธ ์—ฐ๊ตฌ์—์„œ ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์งˆ๋ณ‘ ๊ฐœ์ˆ˜๊ฐ€ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜๊ฒŒ ๋งŽ์•˜๋‹ค(t=2.148, p=.032). ํŠนํžˆ ๊ด€์ ˆ์—ผ/๋ฅ˜๋งˆํ‹ฐ์ฆ˜์„ ์•“๊ณ  ์žˆ๋Š” ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์ด ์œ ์˜ํ•˜๊ฒŒ ๋งŽ์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค(=14.533, p<.001). ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ํ†ต์ฆ๋ถ€์œ„ ๊ฐœ์ˆ˜๊ฐ€ ์œ ์˜ํ•˜๊ฒŒ ๋งŽ์•˜๊ณ (t=2.288, p=.024), ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์ฃผ๊ด€์  ๊ฑด๊ฐ•์ƒํƒœ๊ฐ€ ์œ ์˜ํ•˜๊ฒŒ ๋‚˜๋นด๋‹ค(=13.020, p=.016). ์‚ฌํšŒํ™œ๋™ ์ค‘ ๊ทผ๋กœ์ƒํƒœ๋งŒ ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์ด ๋ฌด์ง์ธ ๊ฒฝ์šฐ๊ฐ€ ๋” ๋งŽ์€ ๊ฒƒ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋ณด์˜€๋‹ค(=12.276, p<.001). ์ผ์ƒ์ƒํ™œ์ˆ˜ํ–‰๋Šฅ๋ ฅ, ๋„๊ตฌ์  ์ผ์ƒ์ƒํ™œ์ˆ˜ํ–‰๋Šฅ๋ ฅ, ์ธ์ง€๊ธฐ๋Šฅ, ์šฐ์šธ, ๊ทธ๋ฆฌ๊ณ  ์‚ถ์˜ ๋งŒ์กฑ๋„๋Š” ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ์œ ๋ฌด์— ๋”ฐ๋ผ ์ฐจ์ด๊ฐ€ ์—†์—ˆ๋‹ค. 2) ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์—ฐ๋ น์ด ๋‚ฎ์„์ˆ˜๋ก(r=-.206, p=.014), ๋‚จ์„ฑ์ธ ๊ฒฝ์šฐ(t=2.927, p=.004), ๋ฐฐ์šฐ์ž๊ฐ€ ์žˆ๋Š” ๊ฒฝ์šฐ(t=2.224, p=.027), ๊ทธ๋ฆฌ๊ณ  ๊ต์œก์ˆ˜์ค€์ด ๋†’์„์ˆ˜๋ก(=17.847, p<.001) ์‚ถ์˜ ๋งŒ์กฑ๋„๊ฐ€ ๋†’์•˜๋‹ค. ๋˜ํ•œ ์งˆ๋ณ‘(Z=-2.348, p=.018)๊ณผ ํ†ต์ฆ(t=3.627, p<.001)์ด ์—†๋Š” ์ง‘๋‹จ์˜ ์‚ถ์˜ ๋งŒ์กฑ๋„๊ฐ€ ๋†’์•˜๊ณ , ์ฃผ๊ด€์  ๊ฑด๊ฐ•์ƒํƒœ๊ฐ€ ์ข‹์„์ˆ˜๋ก(r=.497, p<.001), ๊ฐ€๊นŒ์šด ์นœ๊ตฌ, ์นœ์ฒ™, ์ด์›ƒ์‚ฌ์ดŒ๊ณผ ์ž์ฃผ ๋งŒ๋‚ ์ˆ˜๋ก(=17.656, p=.001), ์ฐธ์—ฌํ•˜๋Š” ๋ชจ์ž„ ๊ฐœ์ˆ˜๊ฐ€ ๋งŽ์„์ˆ˜๋ก(r=.256, p=.002), ์ธ์ง€๊ธฐ๋Šฅ์ด ์ข‹์„์ˆ˜๋ก(r=.453, p<.001), ์šฐ์šธ ์ฆ์ƒ์ด ์ ์„์ˆ˜๋ก(r=-.414, p<.001), ๋„๊ตฌ์  ์ผ์ƒ์ƒํ™œ์ˆ˜ํ–‰๋Šฅ๋ ฅ์ด ๋…๋ฆฝ์ ์ผ์ˆ˜๋ก(r=-.234, p=.005) ์‚ถ์˜ ๋งŒ์กฑ๋„๊ฐ€ ๋†’์•˜๋‹ค. 3) ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์‚ถ์˜ ๋งŒ์กฑ๋„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ์„ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•ด ๋‹ค์ค‘์„ ํ˜•ํšŒ๊ท€๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ, ๊ฐ€๊นŒ์šด ์‚ฌ๋žŒ๋“ค๊ณผ ๋งŒ๋‚˜๋Š” ๊ฒƒ(B=9.922, p=.011), ์ฃผ๊ด€์  ๊ฑด๊ฐ•์ƒํƒœ(B=5.396, p<.001), ์ธ์ง€๊ธฐ๋Šฅ(B=.672, p=.016), ๊ทธ๋ฆฌ๊ณ  ์šฐ์šธ(B=-.497, p=.015)์ด ์‚ถ์˜ ๋งŒ์กฑ๋„์— ์œ ์˜ํ•œ ์˜ํ–ฅ์„ ์ฃผ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ „๊ตญ๋‹จ์œ„ ๋Œ€๊ทœ๋ชจ ์กฐ์‚ฌ ์ž๋ฃŒ์ธ โ€œ2018๋…„ ์ œ7์ฐจ ๊ณ ๋ นํ™”์—ฐ๊ตฌํŒจ๋„์กฐ์‚ฌโ€ ์ž๋ฃŒ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ 2์ฐจ ์ž๋ฃŒ ๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค๋Š” ์ ์—์„œ ์˜์˜๊ฐ€ ์žˆ๋‹ค. ๋˜ํ•œ ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ์œ ๋ฌด์— ๋”ฐ๋ฅธ ๋…ธ์ธ์˜ ๊ฑด๊ฐ•์ƒํƒœ๋ฅผ ๋‹ค์–‘ํ•œ ๊ธฐ๋Šฅ์„ ๊ณ ๋ คํ•˜์—ฌ ๋ถ„์„ํ•˜๊ณ , ๊ทธ ๊ธฐ๋Šฅ๋“ค์ด ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์‚ถ์˜ ๋งŒ์กฑ๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํƒ์ƒ‰ํ•˜์˜€๋‹ค๋Š” ์ ์—์„œ ์˜๋ฏธ๊ฐ€ ์žˆ๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋ฅผ ์ข…ํ•ฉํ•ด๋ณด์•˜์„ ๋•Œ ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์‚ถ์˜ ๋งŒ์กฑ๋„๋ฅผ ํ–ฅ์ƒ์‹œํ‚ค๊ธฐ ์œ„ํ•ด์„œ๋Š” ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ ์ž์กฐ๋ชจ์ž„์„ ๊ตฌ์„ฑํ•˜์—ฌ ๊ธ์ •์ ์ธ ์‚ฌํšŒํ™œ๋™ ์ฆ์ง„ ๋ฐ ์ •์„œ์  ์ง€์ง€๋ฅผ ํ•  ์ˆ˜ ์žˆ๋Š” ์ง€์› ์ฒด๊ณ„๋ฅผ ํ˜•์„ฑํ•˜๊ณ , ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ๊ณผ ์†์ž๋…€๊ฐ€ ํ•จ๊ป˜ ํ•  ์ˆ˜ ์žˆ๋Š” ๊ฑด๊ฐ•์ฆ์ง„ ํ”„๋กœ๊ทธ๋žจ์„ ๊ฐœ๋ฐœํ•˜๊ณ  ์ ์šฉํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋‹ค.์ œ 1 ์žฅ ์„œ๋ก  1 1. ์—ฐ๊ตฌ ํ•„์š”์„ฑ 1 2. ์—ฐ๊ตฌ ๋ชฉ์  4 3. ์šฉ์–ด ์ •์˜ 5 ์ œ 2 ์žฅ ๋ฌธํ—Œ๊ณ ์ฐฐ 8 1. ๋…ธ์ธ์˜ ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ 8 2. ๋…ธ์ธ์˜ ์‚ถ์˜ ๋งŒ์กฑ๋„ ์˜ํ–ฅ์š”์ธ 15 ์ œ 3 ์žฅ ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 17 1. ์—ฐ๊ตฌ ์„ค๊ณ„ ๋ฐ ์ž๋ฃŒ 17 2. ์—ฐ๊ตฌ๋Œ€์ƒ 18 3. ์—ฐ๊ตฌ๋„๊ตฌ 20 4. ์œค๋ฆฌ์  ๊ณ ๋ ค 23 5. ์ž๋ฃŒ ๋ถ„์„ ๋ฐฉ๋ฒ• 23 ์ œ 4 ์žฅ ์—ฐ๊ตฌ๊ฒฐ๊ณผ 24 1. ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ์œ ๋ฌด์— ๋”ฐ๋ฅธ ์ฐจ์ด 24 2. ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ํŠน์„ฑ์— ๋”ฐ๋ฅธ ์‚ถ์˜ ๋งŒ์กฑ๋„์˜ ์ฐจ์ด 31 3. ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์‚ถ์˜ ๋งŒ์กฑ๋„ ์˜ํ–ฅ ์š”์ธ 36 ์ œ 5 ์žฅ ๋…ผ์˜ 38 1. ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ์œ ๋ฌด์— ๋”ฐ๋ฅธ ์ฐจ์ด 38 2. ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์‚ถ์˜ ๋งŒ์กฑ๋„ ์˜ํ–ฅ ์š”์ธ 41 ์ œ 6 ์žฅ ๊ฒฐ๋ก  ๋ฐ ์ œ์–ธ 44 ์ฐธ๊ณ ๋ฌธํ—Œ 45 ๋ถ€๋ก 61 Abstract 67์„

    Links between the South and the North: Korean Music Transmitted by Overseas Koreans

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    ํ•œ๊ตญ ๋ฌธํ™”๋ฅผ ์ ‘ํ•˜๊ธฐ ์œ„ํ•ด ๋ฐ˜๋“œ์‹œ ํ•œ๊ตญ์„ ์ฐพ์•„์•ผ ํ•˜๋Š” ์‹œ๋Œ€๋Š” ์ง€๋‚ฌ๋‹ค. ์„ธ๊ณ„์˜ ์›ฌ๋งŒํ•œ ๋Œ€๋„์‹œ์— ๊ฐ€๋ฉด ํ•œ๊ตญ ์Œ์‹์ ์—์„œ ํ•œ๊ตญ ์Œ์‹์„ ๋จน๊ณ  ์˜์–ด ์ž๋ง‰๊ณผ ํ•จ๊ป˜ ํ•œ๊ตญ ์˜ํ™”๋ฅผ ๋ณด๋Š” ์ผ์ด ๋‚ฏ์„ค์ง€ ์•Š์€ ์‹œ๋Œ€์— ์šฐ๋ฆฌ๋Š” ์‚ด๊ณ  ์žˆ๋‹ค. ํ•œ๊ตญ ๋ฌธํ™”๋ฟ ์•„๋‹ˆ๋ผ ๋‹ค๋ฅธ ๋ฏผ์กฑ์˜ ๋‹ค์–‘ํ•œ ๋ฌธํ™” ๋˜ํ•œ ๊ทธ ๋ฏผ์กฑ ๊ตฌ์„ฑ์›์ด ์‚ด๊ณ  ์žˆ๋Š” ๊ณต๊ฐ„์„ ๋„˜์–ด ์„ธ๊ณ„ ๊ฐ ๊ณณ์— ์กด์žฌํ•œ๋‹ค. ์ด์™€ ๊ฐ™์€ ๋ฌธํ™”์˜ ์„ธ๊ณ„ํ™” ํ˜„์ƒ์„ ์„ค๋ช…ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ๋ฌธํ™”๋ฅผ ์–ด๋Š ํŠน์ • ์ง€์—ญ์ด๋‚˜ ๊ตญ๊ฐ€๋ฅผ ํŠน์ • ์ง“๋Š” ๋ถˆ๋ณ€์˜ ์š”์†Œ๋กœ ๋ณด๋Š” ๊ธฐ์กด์˜ ์‹œ๊ฐ์—์„œ ๋ฒ—์–ด๋‚˜ ๋ฌธํ™”์˜ ํƒˆ์˜ํ† ํ™”(deterritorialization) ํ˜„์ƒ์— ์ฃผ๋ชฉํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ์‚ฌ๋žŒ๋„, ๋ฌธํ™”๋„ ๋ณธ๋ž˜ ์†ํ•ด ์žˆ๋˜ ์ง€๋ฆฌ์  ์˜ํ† ์˜ ๊ฒฝ๊ณ„๋ฅผ ๋Š์ž„์—†์ด ๋„˜๋‚˜๋“œ๋Š” ํ˜„๋Œ€ ์‚ฌํšŒ์—์„œ๋Š” ๋ฉ€๋ฆฌ ์žˆ๋Š” ์‚ฌ๋žŒ๋„, ๋ฉ€๋ฆฌ ์žˆ๋Š” ๋ฌธํ™”๋„ ๊ฐ€๊น๊ฒŒ ๋Š๊ปด์ง€๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ๋ฐ”๋กœ ์ด๋Ÿฌํ•œ ํƒˆ์˜ํ† ํ™” ํ˜„์ƒ์„ ๊ฐ€์žฅ ๊ตฌ์ฒด์ ์œผ๋กœ ๊ตฌํ˜„ํ•˜๋Š” ์‚ฌ๋žŒ๋“ค์ด ๋ณธ๊ตญ์„ ๋– ๋‚˜ ์ƒˆ๋กœ์šด ํ™˜๊ฒฝ์—์„œ ์‚ถ์„ ๊ฐœ์ฒ™ํ•ด ๋‚˜๊ฐ€๋Š” ์žฌ์™ธ๋™ํฌ, ์ฆ‰ ๋””์•„์Šคํฌ๋ผ(Diaspora) ์‚ฌ๋žŒ๋“ค์ด๋‹ค. ์žฌ์™ธ๋™ํฌ๋Š” ์ž์‹ ์ด ์†ํ•ด ์žˆ๋˜ ์ง€๋ฆฌ์  ์˜ํ† ์˜ ๊ฒฝ๊ณ„๋ฅผ ๋„˜์–ด์„  ์ฑ„ ์‚ด์•„๊ฐ€๋Š” ํƒˆ์˜ํ† ํ™”๋œ ์‚ฌ๋žŒ๋“ค์ด๋ฉฐ, ์ด๋“ค์ด ๊ฐ€๊พธ์–ด๊ฐ€๋Š” ๋ฌธํ™”๋Š” ํƒˆ์˜ํ† ํ™”๋œ ๋ณธ๊ตญ์˜ ๋ฌธํ™”์ด์ž ๊ฑฐ์ฃผ๊ตญ ์•ˆ์—์„œ ์žฌ์˜ํ† ํ™”๋œ ๋ฌธํ™”๋ผ๊ณ  ํ•  ์ˆ˜ ์žˆ๋‹ค. This paper examines the music of Korean diasporic communities in Japan and the United States (specifically, North Koreans in Japan and South Koreans in Los Angeles) in the light of de/reterritorialization of culture and long-distance nationalism of diasporas. Most first-generation North Koreans in Japan originated in the southern part of Korea; however, when Korea was divided in 1945, they chose North Korean nationality according to their political affiliation. Since then, they have maintained strong ties with North Korea, while showcasing North Korean "national" music within Japan. Unlike North Korean communities in Japan, which emerged as a result of the Japanese colonization, substantial South Korean diasporic communities in the US formed after the colonial period. The prospect of a higher standard of living and a better opportunity for their children's education motivated many South Koreans to move to the US. In this process, South Korean music was also eterritorialized; first generation South Korean musicians who entered the US in the 1960s and 1970s have maintained their musical heritage in their new home, while p'ungmul became extremely popular in the 1980s and 1990s. These "deterritorialized." Korean musics (North Korean "national" music and South Korean p'ungmul) played a significant role in performing "long-distance nationalism." Now, younger generations do not have a strong sense of "long-distance nationalism." Instead, they use the music of their homes for the construction of their unique diasporic identities, where "reterritorialization" of Korean music begins

    ์ธ๊ด‘์„ฑ ์ด๋ฆฌ๋“(III) ์ฐฉ์ฒด ๋ฐ ํ˜ธ์ŠคํŠธ ๋ฌผ์งˆ ํ•ฉ์„ฑ ๋ฐ ํŠน์„ฑ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) --์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์žฌ๋ฃŒ๊ณตํ•™๋ถ€,2007.Docto

    Factors Affecting Life Satisfaction of Caregiving Experienced Grandparents

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    As the Korean womenโ€™s economic participation rate and the dual-income households have increased, the proportion of grandparents taking care of their grandchildren has increased. However, old age is a period in which health problems such as chronic diseases and functional deterioration are increasing. Various studies have been conducted in various academic fields, but there are limitations in comprehensively assessing the health of the caregiving grandparents. Therefore, it is necessary to understand the health status of the elderly in multiple dimensions, and compare the difference according to whether they have experience of caregiving or not, and to explore factors affecting the life satisfaction of the grandparents who have experience of caregiving. This study is a secondary data analysis using raw data from the โ€œ2018 7th Korean Longitudinal Study of Ageingโ€ conducted by Korea Employment Information Service. The purpose of the study is to compare the health status, social activity, physical function, cognitive function, depression, and life satisfaction of the elderly according to the grandchild care experience, and to investigate the factors that have affect on the life satisfaction of the grandparents who have experience of caregiving. In the study, the participants were 3,376 people from the โ€œ2018 7th Korean Longitudinal Study of Ageingโ€, who aged 65 and over, have grandchildren, and responded to the questionnaires all by themselves. The questionnaires of sociodemographic characteristics, disease, pain, self-rated health, social activity, physical function, cognitive function, depression, and life satisfaction from the โ€œ2018 7th Korean Longitudinal Study of Ageingโ€ were used as study variables, and the collected data analysis was performed with the SPSS 25.0 statistical analysis program. Differences of sociodemographic characteristics, disease, pain, self-rated health, social activity, physical function, cognitive function, depression, and life satisfaction according to the experience of caring for grandchildren were analyzed using independent t-test and chi-square analysis. Mann-Whitney test, ANOVA and Kruskal-Wallis test, and Pearsonโ€™s correlation are used to analyze the difference of life satisfaction according to demographic characteristics, disease, pain, self-rated health, social activity, physical function, cognitive function, and depression of the grandparents who have experience of caregiving. Multiple linear regression analysis was used to explore the factors influencing the life satisfaction of the grandparents who have experience of caregiving. The specific research results are as follows. 1) In this study, the number of diseases was significantly higher in the caregiving experienced grandparents(t=2.148, p=.032). In particular, it was found that caregiving experienced grandparents were more likely to be suffered from arthritis or rheumatism(=14.533, p<.001). The number of pain points was significantly higher in the caregiving experienced grandparents(t=2.288, p=.024), and the self-rated health of the caregiving experienced grandparents was significantly poorer(=13.020, p=.016). Among social activities, only employment status showed a significant difference in that the caregiving experienced grandparents were more likely to be unemployed(=12.276, p<.001). Activities of daily living, instrumental activities of daily living, cognitive function, depression, and life satisfaction did not differ according to the experience of caregivng. 2) The caregiving experienced grandparents seems to have higher life satisfaction if the person is younger(r=-.206, p=.014), men(t=2.927, p=.004), have a spouse(t=2.224, p=.027), and have higher education level(=17.847, p<.001). Moreover, the group without disease(Z=-2.348, p=.018) and pain(t=3.627, p<.001) had higher life satisfaction, and the better the self-rated health(r=.497, p<.001), the more frequent meeting with close friends, relatives, and neighbors(=17.656, p=.001), the greater the number of groups participating(r=.256, p=.002), the better the cognitive function(r=.453, p<.001), fewer depressive symptoms(r=-.414, p<.001), and more independent with the instrumental activities of daily living(r=-.234, p=.005) had higher life satisfaction rates. 3) Multiple linear regression analysis was performed to identify factors affecting the life satisfaction of the caregiving experienced grandparents. As a result of the analysis, meeting with close people(B=9.922, p=.011), slef-rated health(B=5.396, p<.001), cognitive function(B=.672, p=.016), and depression(B=-.497, p=.015) was found to have a significant effect on life satisfaction. Considering the results of the study, in order to improve the life satisfaction of the grandparents who experienced caregiving, it is necessary to organize a self-help group as a support system so that they can promote positive social relationship and provide emotional support. Also it is necessary to develop and apply a health promotion program that grandparents and grandchildren can do together.์šฐ๋ฆฌ๋‚˜๋ผ ์—ฌ์„ฑ์˜ ๊ฒฝ์ œ์ฐธ์—ฌ์œจ ์ฆ๊ฐ€๋กœ ๋งž๋ฒŒ์ด ๊ฐ€๊ตฌ๊ฐ€ ์ฆ๊ฐ€๋˜์—ˆ๋‹ค. ์ด๋กœ ์ธํ•ด ์กฐ๋ถ€๋ชจ๊ฐ€ ์˜์œ ์•„์˜ ์–‘์œก์— ์ฐธ์—ฌํ•˜๊ฒŒ ๋œ ๋น„์œจ์ด ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ๋…ธ๋…„๊ธฐ๋Š” ๋งŒ์„ฑ์งˆ๋ณ‘ ์ฆ๊ฐ€์™€ ์‹ ์ฒด๊ธฐ๋Šฅ ์ €ํ•˜ ๋“ฑ์˜ ๊ฑด๊ฐ• ๋ฌธ์ œ๊ฐ€ ์ฆ๊ฐ€ํ•˜๋Š” ์‹œ๊ธฐ๋กœ, ๋…ธ์ธ์ด ์†์ž๋…€๋ฅผ ๋Œ๋ณด๋Š” ๊ฒƒ์— ๋Œ€ํ•ด ๋‹ค์–‘ํ•œ ํ•™๋ฌธ๋ถ„์•ผ์—์„œ ๋‹ค๊ฐ์ ์ธ ์—ฐ๊ตฌ๊ฐ€ ์ง„ํ–‰๋˜์—ˆ์œผ๋‚˜, ์†์ž๋…€ ๋Œ๋ด„ ๋…ธ์ธ์˜ ๊ฑด๊ฐ•์„ ์ข…ํ•ฉ์ ์œผ๋กœ ํŒ๋‹จํ•˜๋Š”๋ฐ ํ•œ๊ณ„๊ฐ€ ์žˆ์—ˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋…ธ์ธ์˜ ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ์œ ๋ฌด์— ๋”ฐ๋ฅธ ๋…ธ์ธ์˜ ๊ฑด๊ฐ•์ƒํƒœ๋ฅผ ์ข…ํ•ฉ์ ์œผ๋กœ ํŒŒ์•…ํ•˜๊ณ , ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์‚ถ์˜ ๋งŒ์กฑ๋„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ์„ ํƒ์ƒ‰ํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ํ•œ๊ตญ๊ณ ์šฉ์ •๋ณด์›์˜ โ€œ2018๋…„ ์ œ7์ฐจ ๊ณ ๋ นํ™”์—ฐ๊ตฌํŒจ๋„์กฐ์‚ฌโ€œ์˜ ์›์‹œ์ž๋ฃŒ๋ฅผ ํ™œ์šฉํ•œ 2์ฐจ ์ž๋ฃŒ ๋ถ„์„ ์—ฐ๊ตฌ๋กœ, ๋งŒ 65์„ธ ์ด์ƒ ๋…ธ์ธ์˜ ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ์œ ๋ฌด์— ๋”ฐ๋ฅธ ์งˆ๋ณ‘, ํ†ต์ฆ, ์ฃผ๊ด€์  ๊ฑด๊ฐ•์ƒํƒœ, ์‚ฌํšŒํ™œ๋™, ์‹ ์ฒด๊ธฐ๋Šฅ, ์ธ์ง€๊ธฐ๋Šฅ, ์šฐ์šธ, ๊ทธ๋ฆฌ๊ณ  ์‚ถ์˜ ๋งŒ์กฑ๋„๋ฅผ ๋น„๊ตํ•˜๊ณ , ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์‚ถ์˜ ๋งŒ์กฑ๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์š”์ธ์„ ํƒ์ƒ‰ํ•˜๊ธฐ ์œ„ํ•ด ์‹œํ–‰๋˜์—ˆ๋‹ค. ์—ฐ๊ตฌ ๋Œ€์ƒ์€ โ€œ2018๋…„ ์ œ7์ฐจ ๊ณ ๋ นํ™”์—ฐ๊ตฌํŒจ๋„์กฐ์‚ฌโ€์—์„œ ์†์ž๋…€๊ฐ€ ์žˆ๋Š”, ํƒ€์ธ์˜ ๋„์›€ ์—†์ด ์Šค์Šค๋กœ ์„ค๋ฌธ์ง€์— ์‘๋‹ตํ•œ 65์„ธ ์ด์ƒ ๋…ธ์ธ 3,376๋ช…์„ ์ถ”์ถœํ•˜์˜€์œผ๋ฉฐ, ๋ถ„์„์— ํ™œ์šฉํ•œ ๋ณ€์ˆ˜๋Š” โ€œ2018๋…„ ์ œ7์ฐจ ๊ณ ๋ นํ™”์—ฐ๊ตฌํŒจ๋„์กฐ์‚ฌโ€์˜ ์ธ๊ตฌ์‚ฌํšŒํ•™์  ํŠน์„ฑ๊ณผ ์งˆ๋ณ‘, ํ†ต์ฆ, ์ฃผ๊ด€์  ๊ฑด๊ฐ•์ƒํƒœ, ์‚ฌํšŒํ™œ๋™, ์‹ ์ฒด๊ธฐ๋Šฅ, ์ธ์ง€๊ธฐ๋Šฅ, ์šฐ์šธ, ๊ทธ๋ฆฌ๊ณ  ์‚ถ์˜ ๋งŒ์กฑ๋„์˜ ์„ค๋ฌธ ๋ฌธํ•ญ์„ ์ด์šฉํ•˜์˜€๋‹ค. ์ˆ˜์ง‘๋œ ์ž๋ฃŒ์˜ ๋ถ„์„์€ SPSS 25.0 ํ†ต๊ณ„๋ถ„์„ ํ”„๋กœ๊ทธ๋žจ์„ ์ด์šฉํ•˜์—ฌ ์‹ค์‹œํ•˜์˜€๋‹ค. ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ์œ ๋ฌด์— ๋”ฐ๋ฅธ ์ธ๊ตฌ์‚ฌํšŒํ•™์  ํŠน์„ฑ, ์งˆ๋ณ‘๊ณผ ํ†ต์ฆ, ์ฃผ๊ด€์  ๊ฑด๊ฐ•์ƒํƒœ, ์‚ฌํšŒํ™œ๋™, ์‹ ์ฒด๊ธฐ๋Šฅ, ์ธ์ง€๊ธฐ๋Šฅ, ์šฐ์šธ, ๊ทธ๋ฆฌ๊ณ  ์‚ถ์˜ ๋งŒ์กฑ๋„์˜ ์ฐจ์ด๋Š” ๋…๋ฆฝ t๊ฒ€์ •๊ณผ ์นด์ด์ œ๊ณฑ ๋ถ„์„์„ ์ด์šฉํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๊ณ , ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์ธ๊ตฌ์‚ฌํšŒํ•™์  ํŠน์„ฑ, ์งˆ๋ณ‘๊ณผ ํ†ต์ฆ, ์ฃผ๊ด€์  ๊ฑด๊ฐ•์ƒํƒœ, ์‚ฌํšŒํ™œ๋™, ์‹ ์ฒด๊ธฐ๋Šฅ, ์ธ์ง€๊ธฐ๋Šฅ, ์šฐ์šธ์— ๋”ฐ๋ฅธ ์‚ถ์˜ ๋งŒ์กฑ๋„์˜ ์ฐจ์ด๋ฅผ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•ด Mann-Whitney test, ANOVA์™€ Kruskal-Wallis test, Pearsonโ€™s correlation๋ฅผ ์ด์šฉํ•˜์˜€๋‹ค. ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์‚ถ์˜ ๋งŒ์กฑ๋„์˜ ์˜ํ–ฅ์š”์ธ์„ ํƒ์ƒ‰ํ•˜๊ธฐ ์œ„ํ•ด ๋‹ค์ค‘์„ ํ˜•ํšŒ๊ท€๋ถ„์„์„ ์ด์šฉํ•˜์˜€๋‹ค. ๊ตฌ์ฒด์ ์ธ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. 1) ๋ณธ ์—ฐ๊ตฌ์—์„œ ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์งˆ๋ณ‘ ๊ฐœ์ˆ˜๊ฐ€ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜๊ฒŒ ๋งŽ์•˜๋‹ค(t=2.148, p=.032). ํŠนํžˆ ๊ด€์ ˆ์—ผ/๋ฅ˜๋งˆํ‹ฐ์ฆ˜์„ ์•“๊ณ  ์žˆ๋Š” ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์ด ์œ ์˜ํ•˜๊ฒŒ ๋งŽ์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค(=14.533, p<.001). ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ํ†ต์ฆ๋ถ€์œ„ ๊ฐœ์ˆ˜๊ฐ€ ์œ ์˜ํ•˜๊ฒŒ ๋งŽ์•˜๊ณ (t=2.288, p=.024), ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์ฃผ๊ด€์  ๊ฑด๊ฐ•์ƒํƒœ๊ฐ€ ์œ ์˜ํ•˜๊ฒŒ ๋‚˜๋นด๋‹ค(=13.020, p=.016). ์‚ฌํšŒํ™œ๋™ ์ค‘ ๊ทผ๋กœ์ƒํƒœ๋งŒ ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์ด ๋ฌด์ง์ธ ๊ฒฝ์šฐ๊ฐ€ ๋” ๋งŽ์€ ๊ฒƒ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋ณด์˜€๋‹ค(=12.276, p<.001). ์ผ์ƒ์ƒํ™œ์ˆ˜ํ–‰๋Šฅ๋ ฅ, ๋„๊ตฌ์  ์ผ์ƒ์ƒํ™œ์ˆ˜ํ–‰๋Šฅ๋ ฅ, ์ธ์ง€๊ธฐ๋Šฅ, ์šฐ์šธ, ๊ทธ๋ฆฌ๊ณ  ์‚ถ์˜ ๋งŒ์กฑ๋„๋Š” ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ์œ ๋ฌด์— ๋”ฐ๋ผ ์ฐจ์ด๊ฐ€ ์—†์—ˆ๋‹ค. 2) ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์—ฐ๋ น์ด ๋‚ฎ์„์ˆ˜๋ก(r=-.206, p=.014), ๋‚จ์„ฑ์ธ ๊ฒฝ์šฐ(t=2.927, p=.004), ๋ฐฐ์šฐ์ž๊ฐ€ ์žˆ๋Š” ๊ฒฝ์šฐ(t=2.224, p=.027), ๊ทธ๋ฆฌ๊ณ  ๊ต์œก์ˆ˜์ค€์ด ๋†’์„์ˆ˜๋ก(=17.847, p<.001) ์‚ถ์˜ ๋งŒ์กฑ๋„๊ฐ€ ๋†’์•˜๋‹ค. ๋˜ํ•œ ์งˆ๋ณ‘(Z=-2.348, p=.018)๊ณผ ํ†ต์ฆ(t=3.627, p<.001)์ด ์—†๋Š” ์ง‘๋‹จ์˜ ์‚ถ์˜ ๋งŒ์กฑ๋„๊ฐ€ ๋†’์•˜๊ณ , ์ฃผ๊ด€์  ๊ฑด๊ฐ•์ƒํƒœ๊ฐ€ ์ข‹์„์ˆ˜๋ก(r=.497, p<.001), ๊ฐ€๊นŒ์šด ์นœ๊ตฌ, ์นœ์ฒ™, ์ด์›ƒ์‚ฌ์ดŒ๊ณผ ์ž์ฃผ ๋งŒ๋‚ ์ˆ˜๋ก(=17.656, p=.001), ์ฐธ์—ฌํ•˜๋Š” ๋ชจ์ž„ ๊ฐœ์ˆ˜๊ฐ€ ๋งŽ์„์ˆ˜๋ก(r=.256, p=.002), ์ธ์ง€๊ธฐ๋Šฅ์ด ์ข‹์„์ˆ˜๋ก(r=.453, p<.001), ์šฐ์šธ ์ฆ์ƒ์ด ์ ์„์ˆ˜๋ก(r=-.414, p<.001), ๋„๊ตฌ์  ์ผ์ƒ์ƒํ™œ์ˆ˜ํ–‰๋Šฅ๋ ฅ์ด ๋…๋ฆฝ์ ์ผ์ˆ˜๋ก(r=-.234, p=.005) ์‚ถ์˜ ๋งŒ์กฑ๋„๊ฐ€ ๋†’์•˜๋‹ค. 3) ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์‚ถ์˜ ๋งŒ์กฑ๋„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ์„ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•ด ๋‹ค์ค‘์„ ํ˜•ํšŒ๊ท€๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ, ๊ฐ€๊นŒ์šด ์‚ฌ๋žŒ๋“ค๊ณผ ๋งŒ๋‚˜๋Š” ๊ฒƒ(B=9.922, p=.011), ์ฃผ๊ด€์  ๊ฑด๊ฐ•์ƒํƒœ(B=5.396, p<.001), ์ธ์ง€๊ธฐ๋Šฅ(B=.672, p=.016), ๊ทธ๋ฆฌ๊ณ  ์šฐ์šธ(B=-.497, p=.015)์ด ์‚ถ์˜ ๋งŒ์กฑ๋„์— ์œ ์˜ํ•œ ์˜ํ–ฅ์„ ์ฃผ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ „๊ตญ๋‹จ์œ„ ๋Œ€๊ทœ๋ชจ ์กฐ์‚ฌ ์ž๋ฃŒ์ธ โ€œ2018๋…„ ์ œ7์ฐจ ๊ณ ๋ นํ™”์—ฐ๊ตฌํŒจ๋„์กฐ์‚ฌโ€ ์ž๋ฃŒ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ 2์ฐจ ์ž๋ฃŒ ๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค๋Š” ์ ์—์„œ ์˜์˜๊ฐ€ ์žˆ๋‹ค. ๋˜ํ•œ ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ์œ ๋ฌด์— ๋”ฐ๋ฅธ ๋…ธ์ธ์˜ ๊ฑด๊ฐ•์ƒํƒœ๋ฅผ ๋‹ค์–‘ํ•œ ๊ธฐ๋Šฅ์„ ๊ณ ๋ คํ•˜์—ฌ ๋ถ„์„ํ•˜๊ณ , ๊ทธ ๊ธฐ๋Šฅ๋“ค์ด ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์‚ถ์˜ ๋งŒ์กฑ๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํƒ์ƒ‰ํ•˜์˜€๋‹ค๋Š” ์ ์—์„œ ์˜๋ฏธ๊ฐ€ ์žˆ๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋ฅผ ์ข…ํ•ฉํ•ด๋ณด์•˜์„ ๋•Œ ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์‚ถ์˜ ๋งŒ์กฑ๋„๋ฅผ ํ–ฅ์ƒ์‹œํ‚ค๊ธฐ ์œ„ํ•ด์„œ๋Š” ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ ์ž์กฐ๋ชจ์ž„์„ ๊ตฌ์„ฑํ•˜์—ฌ ๊ธ์ •์ ์ธ ์‚ฌํšŒํ™œ๋™ ์ฆ์ง„ ๋ฐ ์ •์„œ์  ์ง€์ง€๋ฅผ ํ•  ์ˆ˜ ์žˆ๋Š” ์ง€์› ์ฒด๊ณ„๋ฅผ ํ˜•์„ฑํ•˜๊ณ , ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ๊ณผ ์†์ž๋…€๊ฐ€ ํ•จ๊ป˜ ํ•  ์ˆ˜ ์žˆ๋Š” ๊ฑด๊ฐ•์ฆ์ง„ ํ”„๋กœ๊ทธ๋žจ์„ ๊ฐœ๋ฐœํ•˜๊ณ  ์ ์šฉํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋‹ค.์ œ 1 ์žฅ ์„œ๋ก  1 1. ์—ฐ๊ตฌ ํ•„์š”์„ฑ 1 2. ์—ฐ๊ตฌ ๋ชฉ์  4 3. ์šฉ์–ด ์ •์˜ 5 ์ œ 2 ์žฅ ๋ฌธํ—Œ๊ณ ์ฐฐ 8 1. ๋…ธ์ธ์˜ ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ 8 2. ๋…ธ์ธ์˜ ์‚ถ์˜ ๋งŒ์กฑ๋„ ์˜ํ–ฅ์š”์ธ 15 ์ œ 3 ์žฅ ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 17 1. ์—ฐ๊ตฌ ์„ค๊ณ„ ๋ฐ ์ž๋ฃŒ 17 2. ์—ฐ๊ตฌ๋Œ€์ƒ 18 3. ์—ฐ๊ตฌ๋„๊ตฌ 20 4. ์œค๋ฆฌ์  ๊ณ ๋ ค 23 5. ์ž๋ฃŒ ๋ถ„์„ ๋ฐฉ๋ฒ• 23 ์ œ 4 ์žฅ ์—ฐ๊ตฌ๊ฒฐ๊ณผ 24 1. ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ์œ ๋ฌด์— ๋”ฐ๋ฅธ ์ฐจ์ด 24 2. ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ํŠน์„ฑ์— ๋”ฐ๋ฅธ ์‚ถ์˜ ๋งŒ์กฑ๋„์˜ ์ฐจ์ด 31 3. ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์‚ถ์˜ ๋งŒ์กฑ๋„ ์˜ํ–ฅ ์š”์ธ 36 ์ œ 5 ์žฅ ๋…ผ์˜ 38 1. ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ์œ ๋ฌด์— ๋”ฐ๋ฅธ ์ฐจ์ด 38 2. ์†์ž๋…€ ๋Œ๋ด„ ๊ฒฝํ—˜ ๋…ธ์ธ์˜ ์‚ถ์˜ ๋งŒ์กฑ๋„ ์˜ํ–ฅ ์š”์ธ 41 ์ œ 6 ์žฅ ๊ฒฐ๋ก  ๋ฐ ์ œ์–ธ 44 ์ฐธ๊ณ ๋ฌธํ—Œ 45 ๋ถ€๋ก 61 Abstract 67์„

    INS/GPS Navigation Algorithm Integrated with Vision Information for Automatic Landing System

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    ๋ณธ ๋…ผ๋ฌธ์€ ์ ์™ธ์„  ๋žœ๋“œ๋งˆํฌ๋ฅผ ๊ฐ€์ง„ ์ฐฉ๋ฅ™์ง€์ ์— ๋ฌด์ธํ•ญ๊ณต๊ธฐ๋ฅผ ์•ˆ์ •์ ์œผ๋กœ ์ฐฉ๋ฅ™์‹œํ‚ค๊ธฐ ์œ„ํ•œ ํ•ญ๋ฒ•ํ•ด๋ฅผ ๋„์ถœํ•˜๋Š” ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ œ์‹œํ•œ๋‹ค. ์ตœ๊ทผ ๋ฌด์ธํ•ญ๊ณต๊ธฐ๋Š” ์ •์ฐฐ, ์ถ”์  ๋“ฑ์˜ ์ž„๋ฌด๋ฅผ ์œ„ํ•˜์—ฌ ๊ธฐ๋ณธ์ ์œผ๋กœ ์˜์ƒ์žฅ์น˜๋ฅผ ์žฅ์ฐฉํ•˜๊ณ  ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๊ธฐ์กด์˜ INS/GPS ์•ฝ๊ฒฐํ•ฉ ์‹œ์Šคํ…œ์„ ๊ฐœ์„ ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์˜์ƒ์œผ๋กœ๋ถ€ํ„ฐ ๋žœ๋“œ๋งˆํฌ๋ฅผ ํ†ตํ•˜์—ฌ ์–ป์€ ์œ„์น˜, ์ž์„ธ ์ •๋ณด๋ฅผ INS/GPS ๊ฒฐํ•ฉ์‹œ์Šคํ…œ์— ์ถ”๊ฐ€ํ•˜์—ฌ ์•ˆ์ •์ ์ธ ํ•ญ๋ฒ•ํ•ด๋ฅผ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ๋ฒ•์„ ์†Œ๊ฐœํ•œ๋‹ค.DAPA/ADD/FVR

    Hardware Design of Module Type Remote Sensing Sensor Node

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    This paper describes a conceptual design and actual implementation of multi-arranged remote sensing node for obtaining self position and transmitting remote sensing information to the base station through optical signal. The sensor node equipped with CCR(Corner Cube Retro-reflect) and photo detector reflects the optical signal transmitted from base station with known position. Therefore the base station can measure distance and line of sight angle from the sensor node with the reflected signal. In this implementation, a step motor can control reflection angle of CCR for modulating received optical signal. Acoustic sensors, magnetic sensors and accelerometers are equipped to detect unknown objects and the ARM processor and signal conditioning circuit are used for handling both digital and analog signals from the sensors. Such designed sensor node consists of five circuit-module-layers and each layer can be assembled together according to the purpose of experiment.๋ณธ ์—ฐ๊ตฌ๋Š” ๋ฐฉ์œ„์‚ฌ์—…์ฒญ๊ณผ ๊ตญ๋ฐฉ๊ณผํ•™์—ฐ๊ตฌ์†Œ์— ์˜ํ•˜์—ฌ ์„ค๋ฆฝ๋œ 'MEMS ํŠนํ™”์—ฐ๊ตฌ์„ผํ„ฐ'์˜ ์ง€์›์œผ๋กœ ์ˆ˜ํ–‰๋˜์—ˆ์Šต๋‹ˆ๋‹ค

    Performance Analysis of Integrated Inertial Navigation System Using Gravity Anomaly

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    To overcome accumulated error of INS in non-GNSS environment, we propose EKF based integrated INS architecture, which can estimate INS position error, using gravity anomaly data. In this architecture, the gravity anomaly database is used to construct Kalman filter measurement matrix and gravity anomaly data is measured by gravity gradiometer in real time. In order to verify the performance of the proposed integrated INS, a simulation has been carried out by using a 30arcsec x 30arcsec gravity anomaly database in South Korea area. The results show that gravity anomaly data can be used to correct the drifting error in the INS whose errors are accumulated over time.DAPA/ADD/DBR
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