6 research outputs found

    ๊ธˆ์œต์˜ ์„ธ๊ณ„ํ™”์™€ ๊ตญ๊ฐ€ ์ •์ฑ… ์ž์œจ์„ฑ ๋ณ€ํ™” : ์Šค์›จ๋ด์˜ ๋ณต์ง€์ •์ฑ…์„ ์ค‘์‹ฌ์œผ๋กœ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์™ธ๊ตํ•™๊ณผ,2000.Maste

    Splash ํ”„๋กœ๊ทธ๋ž˜๋ฐ ํ”„๋ ˆ์ž„์›Œํฌ๋ฅผ ์œ„ํ•œ ํ•ต์‹ฌ ๋Ÿฐํƒ€์ž„ ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ์˜ ์„ค๊ณ„์™€ ๊ตฌํ˜„

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ •๋ณด๊ณตํ•™๋ถ€,2019. 8. ํ™์„ฑ์ˆ˜.The paradigm of autonomous machines has shifted with the remarkable advancement in machine intelligence. To support machine intelligence, autonomous machines are now equipped with diverse sensors, heterogeneous multicore processors, and distributed computing nodes that require complex software architecture to utilize them properly. With the introduction of new sensors and computing powers, autonomous machines must now support applications that performs complex processing on unbounded sequences of stream data produced at real time. However, with the increase in software complexity it is becoming difficult for developers to coordinate the multiple streams of data and still meet the system requirements. To tackle such difficulty, we are currently developing a graphical programming framework we named Splash. Splash provides effective programming abstractions that allow the users to establish multiple stream processing applications effortlessly. Splash also gives users the ability to specify genuine end to end timing constraints required by their system. The timing constraints in turn are automatically monitored for their violations by the Splash framework. This thesis will introduce the components of the Splash graphical programming framework and focus on how Splash provides stream processing capabilities for its applications. The thesis will also introduce the internal workings of Splashs monitoring capability for end-to-end system timing constraints. Lastly the thesis will validate Splash applications functional correctness and tests its timing constraint monitoring capability by implementing ACC (Adaptive Cruise Control) and LKAS (Lane Keeping Assistance System) algorithm using Splash.1. Introduction 1 2. Background 5 3. Splash programming language 10 4. Splash runtime library 18 5. Validating Splash through experimentation 34 6. Related work 39 7. Conclusion 41 Figures [Figure 1] 11 [Figure 2] 12 [Figure 3] 21 [Figure 4] 29 [Figure 5] 32 [Figure 6] 33Maste

    The effects of strengthening health insurance coverage policy

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ํ–‰์ •๋Œ€ํ•™์› ๊ณต๊ธฐ์—…์ •์ฑ…ํ•™๊ณผ, 2023. 8. ์šฐ์ง€์ˆ™.์šฐ๋ฆฌ๋‚˜๋ผ๋Š” ์ „๊ตญ๋ฏผ ๊ฑด๊ฐ•๋ณดํ—˜ ์ œ๋„ ๋„์ž… ์ดํ›„์—๋„ ๊ฑด๊ฐ•๋ณดํ—˜ ๋ณด์žฅ๋ฅ ์„ ๋†’์ด๊ณ ์ž ๋ณด์žฅ์„ฑ ๊ฐ•ํ™” ์ •์ฑ…์„ ๊ณ„์† ์ถ”์ง„ํ•˜๊ณ  ์žˆ๋‹ค. ๊ทธ ๊ฒฐ๊ณผ ๊ฑด๊ฐ•๋ณดํ—˜ ๋ณด์žฅ๋ฅ ์€ 2005๋…„ 61.8%์—์„œ 2020๋…„ 65.3%๋กœ ์ ์ง„์ ์œผ๋กœ ์ƒ์Šนํ•˜๊ณ  ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ฒฝ์ƒ์˜๋ฃŒ๋น„ ์ค‘ ์ •๋ถ€ยท์˜๋ฌด๊ฐ€์ž…์ œ๋„ ๋น„์ค‘์„ ๊ธฐ์ค€์œผ๋กœ ์šฐ๋ฆฌ๋‚˜๋ผ๋Š” 2019๋…„ ๊ธฐ์ค€ 61%, OECD ํ‰๊ท ์€ 74.1%๋กœ์จ ๋ณด์žฅ์„ฑ ๊ฐ•ํ™”๋ฅผ ์œ„ํ•œ ์ •์ฑ…์„ ๊ณ„์† ์ถ”์ง„ํ•˜๊ณ  ์žˆ์Œ์—๋„ ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ๋ณด์žฅ๋ฅ ์€ OECD ํ‰๊ท ์—๋Š” ๋ฏธ์น˜์ง€ ๋ชปํ•˜๊ณ  ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ •์ฑ…์ด ๊ฑด๊ฐ•๋ณดํ—˜ ๋ณด์žฅ๋ฅ ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์ด ์•„๋‹Œ ์ •์ฑ…์ด ๊ฐœ๋ณ„ ๊ฐ€๊ตฌ์˜ ์˜๋ฃŒ๋น„ ์ง€์ถœ๋กœ ์ธํ•œ ๊ฒฝ์ œ์  ๋ถ€๋‹ด์— ์–ด๋– ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”์ง€ ๋ถ„์„ํ•ด ๋ณด๊ณ ์ž ํ•˜์˜€๋‹ค. ๊ฑด๊ฐ•๋ณดํ—˜ ๋ณด์žฅ๋ฅ ์˜ ์ƒ์Šน์ด ์ •์ฒด๋œ ์ƒํ™ฉ์—์„œ ์ •์ฑ…์ด ๊ณผ๋„ํ•œ ์˜๋ฃŒ๋น„์™€ ์˜๋ฃŒ๋น„ ์ง€์ถœ๋กœ ์ธํ•œ ๋นˆ๊ณค์—์„œ ๊ฐ€๊ตฌ๋ฅผ ๋ณดํ˜ธํ•˜๊ณ  ์žˆ๋Š”์ง€ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ด๋Š” ํ–ฅํ›„ ๊ฑด๊ฐ•๋ณดํ—˜ ์žฌ์ •์˜ ์ง€์†๊ฐ€๋Šฅ์„ฑ๊ณผ ๋ณด๊ฑด์˜๋ฃŒ์˜ ํ˜•ํ‰์„ฑ์„ ๊ณ ๋ คํ•ด๋ณผ ๋•Œ ์ค‘์š”ํ•œ ์˜์˜๋ฅผ ๊ฐ€์ง„๋‹ค๊ณ  ๋ณผ ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ฑด๊ฐ•๋ณดํ—˜ ๋ณด์žฅ์„ฑ ๊ฐ•ํ™” ์ •์ฑ…์ด ๊ฐ€๊ตฌ์˜ ๊ฒฝ์ œ์  ๋ถ€๋‹ด์— ์–ด๋–ค ์˜ํ–ฅ์„ ์ฃผ๋Š”๊ฐ€์˜ ์—ฐ๊ตฌ๋ฌธ์ œ๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ํ•œ๊ตญ๋ณต์ง€ํŒจ๋„ ๋ฐ์ดํ„ฐ(2010๋…„โˆผ2016๋…„) ์ค‘ 2010๋…„๋ถ€ํ„ฐ 2016๋…„๊นŒ์ง€ ๋ชจ๋‘ ์‘๋‹ตํ•œ 4,629 ๊ฐ€๊ตฌ๋ฅผ ๋Œ€์ƒ์œผ๋กœ ๋ถ„์„์„ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ์ •์ฑ…์ด ๊ฐ€๊ตฌ์˜ ์žฌ๋‚œ์  ์˜๋ฃŒ๋น„ ์ง€์ถœ๊ณผ ์˜๋ฃŒ๋น„ ์ง€์ถœ๋กœ ์ธํ•œ ๋นˆ๊ณคํ™” ์—ฌ๋ถ€์— ๋ฏธ์น˜๋Š”์ง€ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•ด ํŒจ๋„๋กœ์ง“ ํ™•๋ฅ ํšจ๊ณผ ๋ชจํ˜•์„ ์ด์šฉํ–ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์ •์ฑ…๊ณผ ๊ฐ€๊ตฌ์˜ ๊ฒฝ์ œ์  ๋ถ€๋‹ด์˜ ๊ด€๊ณ„๋ฅผ ์ค‘์ฆ์งˆํ™˜, ๋ฏผ๊ฐ„๋ณดํ—˜ ์กฐ์ ˆํ•˜๋Š”์ง€ ํ™•์ธํ•˜๊ณ ์ž ์„ฑํ–ฅ์ ์ˆ˜๋งค์นญ๊ณผ ํ•ฉ๋™ ๋กœ์ง“ ๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ, ์ •์ฑ…์ด ๊ฐ€๊ตฌ์˜ ์žฌ๋‚œ์  ์˜๋ฃŒ๋น„ ๋ฐœ์ƒ๋ฅ ๊ณผ ์˜๋ฃŒ๋น„ ์ง€์ถœ๋กœ ์ธํ•œ ๋นˆ๊ณค์œจ์„ ๊ฐ์†Œ์‹œํ‚ค๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์—ฐ๊ตฌ๋ฐฉ๋ฒ•์ด ๊ฐ–๋Š” ํ•œ๊ณ„๋ฅผ ๊ณ ๋ คํ•  ๋•Œ ์ •์ฑ…์ด ๊ฐ€๊ตฌ์˜ ๊ฒฝ์ œ์  ๋ถ€๋‹ด์„ ์™„ํ™”ํ•˜๋Š” ๋ฐ ํšจ๊ณผ์ ์œผ๋กœ ์ž‘์šฉํ–ˆ๋‹ค๊ณ  ๊ฒฐ๋ก  ์ง“๊ธฐ๋Š” ์–ด๋ ค์› ๊ณ  ํ–ฅํ›„ ์ถ”๊ฐ€์ ์ธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ์„ธ๋ฐ€ํ•˜๊ฒŒ ๋ถ„์„ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ์ค‘์ฆ์งˆํ™˜๊ณผ ๋ฏผ๊ฐ„๋ณดํ—˜์€ ์ •์ฑ…์ด ๊ฐ€๊ตฌ์˜ ๊ฒฝ์ œ์  ๋ถ€๋‹ด์„ ์™„ํ™”ํ•˜๋Š” ๊ด€๊ณ„๋ฅผ ๋” ๊ฐ•ํ™”ํ•˜์ง€ ์•Š๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ฑด๊ฐ•๋ณดํ—˜ ๋ณด์žฅ์„ฑ ๊ฐ•ํ™” ์ •์ฑ…์˜ ์‹œํ–‰์ด ๊ฐ€๊ตฌ์˜ ๊ฒฝ์ œ์  ๋ถ€๋‹ด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋น„๊ต์  ๊ธด ์‹œ์ ์— ๊ฑธ์ณ ์‹ค์ฆ๋ถ„์„ํ•œ ์ ์—์„œ ์˜์˜๊ฐ€ ์žˆ๋‹ค. ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ์ธ๊ตฌ์‚ฌํšŒ๊ตฌ์กฐ๋Š” ๋ฏธ๋ž˜์˜ ๊ฑด๊ฐ•๋ณดํ—˜ ์žฌ์ •์— ๋ถ€์ •์ ์œผ๋กœ ์ž‘์šฉํ•  ๊ฐ€๋Šฅ์„ฑ์ด ๋†’๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ €์ถœ์‚ฐ ๋ฐ ์ธ๊ตฌ ๊ณ ๋ นํ™” ๋“ฑ ๊ตญ๋ฏผ ์˜๋ฃŒ๋น„๋Š” ์ฆ๊ฐ€ํ•˜๊ณ  ๋ณดํ—˜ ์žฌ์ •์€ ์ค„์–ด๋“ค ๋ฏธ๋ž˜์— ๋Œ€๋น„, ์žฅ๊ธฐ๊ฐ„ ์‹œ์ ์— ๊ฑธ์นœ ์ •์ฑ… ํšจ๊ณผ๋ถ„์„์„ ํ–ฅํ›„ ์ •์ฑ… ์„ค์ •์— ๊ณ ๋ คํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค๋Š” ์ •์ฑ…์  ์‹œ์‚ฌ์ ์„ ๋„์ถœํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค.Korea continues to promote policies to strengthen coverage to increase the health insurance coverage rate. As a result, the health insurance coverage rate is gradually rising from 61.8% in 2005 to 65.3% in 2020. However, based on the proportion of medical expense spending by government schemes or compulsory insurance, Korea's coverage rate did not reach the OECD average. This study attempted to analyze how policies affect the economic burden of individual households' medical expenses, not the impact of policies on the health insurance coverage rate. With the rise in the health insurance coverage rate stagnant, it was confirmed that the policy protects households from poverty caused by excessive medical medical expense and catastrophic medical expenditures. This can be seen as having an important significance considering the sustainability of future health insurance finances and the equity of health care. This study focused on the research question of "how does the policy to strengthen health insurance coverage affect the economic burden of households?" Among the Korea Welfare Panel Study(2010-2016), an analysis was conducted on 4,629 households that all responded from 2010 to 2016. The panel logit random effect model was used to determine whether the policy affects households' catastrophic medical expenditures and whether they become impoverished due to medical expenditures. In addition, propensity score matching and pooled logit model were conducted to confirm whether the relationship between policy and household economic burden was controlled by severe diseases and private medical insurance. As a result of the analysis, it was found that the policy reduces the incidence of households' catastrophic medical expenses and the poverty rate caused by medical expenses. However, considering the limitations of research methods, it was difficult to conclude that policies worked effectively to alleviate the economic burden on households, and further research needs to be analyzed in detail in the future. It was found that policies for severe diseases and private insurance do not further strengthen the relationship that alleviates the economic burden on households. This study is meaningful in that it empirically analyzed the impact of the implementation of policies to strengthen health insurance coverage on households' economic burden over a relatively long period of time. Korea's demographic and social structure is likely to negatively affect future health insurance finances. This study was able to draw policy implications that it is necessary to consider analyzing policy effects over a long period of time in future policy settings in preparation for the future when national medical costs such as low birth rates and aging population increase and insurance finances decrease.์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์ฃผ์ œ์˜ ์ค‘์š”์„ฑ 1 ์ œ 2 ์ ˆ ์ด ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ 3 ์ œ 3 ์ ˆ ์ด ์—ฐ๊ตฌ์˜ ๋ชฉ์  4 ์ œ 4 ์ ˆ ์ด ์—ฐ๊ตฌ์˜ ์˜์˜ 5 ์ œ 2 ์žฅ ๋ฌธํ—Œ๊ฒ€ํ†  7 ์ œ 1 ์ ˆ ์ด๋ก ์  ๋…ผ์˜ 7 1. ๊ฑด๊ฐ•๋ณด์žฅ๊ณผ ์˜๋ฃŒ์ˆ˜์š” 7 2. ๊ฑด๊ฐ•๋ณดํ—˜ ๋ณด์žฅ์„ฑ ๊ฐ•ํ™” ์ •์ฑ… ๊ฐœ์š” 8 3. ์ค‘์ฆ์งˆํ™˜ ๋ณด์žฅ์„ฑ ๊ฐ•ํ™” ์ •์ฑ… 10 4. ๋ณด์žฅ์„ฑ ๊ฐ•ํ™” ์ •์ฑ…๊ณผ ๋ฏผ๊ฐ„์˜๋ฃŒ๋ณดํ—˜ 11 5. ์˜๋ฃŒ์ด์šฉ ์š”์ธ 12 6. ์žฌ๋‚œ์  ์˜๋ฃŒ๋น„ ์ง€์ถœ 13 7. ์˜๋ฃŒ๋น„ ์ง€์ถœ๋กœ ์ธํ•œ ๋นˆ๊ณคํ™” 14 ์ œ 2 ์ ˆ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  15 1. ๊ฑด๊ฐ•๋ณดํ—˜ ๋ณด์žฅ์„ฑ ๊ฐ•ํ™” ์ •์ฑ… 15 2. ๊ฑด๊ฐ•๋ณดํ—˜ ๋ณด์žฅ์„ฑ ๊ฐ•ํ™” ์ •์ฑ…๊ณผ ๋ฏผ๊ฐ„์˜๋ฃŒ๋ณดํ—˜ 16 3. ์žฌ๋‚œ์  ์˜๋ฃŒ๋น„ ์ง€์ถœ 17 4. ์˜๋ฃŒ๋น„ ์ง€์ถœ๋กœ ์ธํ•œ ๋นˆ๊ณคํ™” 19 ์ œ 3 ์ ˆ ์„ ํ–‰์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ ๋ฐ ์—ฐ๊ตฌ์˜ ์ง„ํ–‰๋ฐฉํ–ฅ 20 1. ์„ ํ–‰์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ 20 2. ์—ฐ๊ตฌ์˜ ์ง„ํ–‰๋ฐฉํ–ฅ 21 ์ œ 3 ์žฅ ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 23 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ถ„์„ํ‹€ ๋ฐ ๊ฐ€์„ค 23 1. ์—ฐ๊ตฌ๋ฌธ์ œ 23 2. ์—ฐ๊ตฌ์˜ ๋ถ„์„ํ‹€ 23 3. ์—ฐ๊ตฌ๊ฐ€์„ค 24 ์ œ 2 ์ ˆ ๋ณ€์ˆ˜ ์ •์˜ 25 1. ์ข…์†๋ณ€์ˆ˜ 25 2. ๋…๋ฆฝ๋ณ€์ˆ˜ 26 3. ์กฐ์ ˆ๋ณ€์ˆ˜ 26 4. ํ†ต์ œ๋ณ€์ˆ˜ 26 ์ œ 3 ์ ˆ ์ž๋ฃŒ์› 28 ์ œ 4 ์ ˆ ๋ถ„์„๋ฐฉ๋ฒ• 29 1. ๊ธฐ์ดˆํ†ต๊ณ„๋ถ„์„ 29 2. ํŒจ๋„๋ฐ์ดํ„ฐ ๋ถ„์„ 29 3. ์„ฑํ–ฅ์ ์ˆ˜๋งค์นญ 32 ์ œ 4 ์žฅ ์—ฐ๊ตฌ๊ฒฐ๊ณผ 34 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ ๋Œ€์ƒ์˜ ์ผ๋ฐ˜์  ํŠน์„ฑ 34 1. ์ธ๊ตฌ์‚ฌํšŒํ•™์  ํŠน์„ฑ 34 2. ๊ฑด๊ฐ• ํŠน์„ฑ 36 ์ œ 2 ์ ˆ ๊ธฐ์ˆ ํ†ต๊ณ„ ๋ถ„์„ 38 1. ๊ธฐ์ˆ ํ†ต๊ณ„๋Ÿ‰ 38 2. ์ƒ๊ด€๊ณ„์ˆ˜ 39 3. ์žฌ๋‚œ์  ์˜๋ฃŒ๋น„ ์ง€์ถœ ์ถ”์ด 40 4. ์˜๋ฃŒ๋น„ ์ง€์ถœ๋กœ ์ธํ•œ ๋นˆ๊ณค์œจ ์ถ”์ด 40 ์ œ 3 ์ ˆ ์—ฐ๊ตฌ๋ชจํ˜• ๋ถ„์„ 41 1. ๋‹ค์ค‘๊ณต์„ ์„ฑ ๊ฒ€ํ†  41 2. ํ•ฉ๋™ ๋กœ์ง“ ๋ถ„์„ 42 3. ํŒจ๋„๋กœ์ง“ ๊ณ ์ •ํšจ๊ณผ ๋ชจํ˜• ๋ถ„์„ 45 4. ํŒจ๋„ ๊ฐœ์ฒด์˜ ๊ณ ์ •ํšจ๊ณผ ๊ฒ€์ • 48 5. ํŒจ๋„ ๊ฐœ์ฒด์˜ ํ™•๋ฅ ํšจ๊ณผ ๊ฒ€์ • 50 6. ์—ฐ๊ตฌ๋ชจํ˜• ๊ฒฐ์ • 52 7. ๋ถ„์„๊ฒฐ๊ณผ 53 8. ํ•˜์œ„๋ถ„์„ 55 9. ๊ฐ€์„ค์˜ ๊ฒ€์ • 71 ์ œ 5 ์žฅ ๊ฒฐ๋ก  73 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ์š”์•ฝ ๋ฐ ๊ณ ์ฐฐ 73 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ ๋ฐ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ 75 ๋ถ€๋ก 77 ์ฐธ๊ณ ๋ฌธํ—Œ 81์„
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