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    ๋‹จ์•ˆ ์˜์ƒ ๊ทธ๋ ˆ์ด๋””์–ธํŠธ๋ฅผ ์ด์šฉํ•œ ์˜์ƒ ๊ด€์„ฑ ์˜ค๋„๋ฉ”ํŠธ๋ฆฌ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ํ•ญ๊ณต์šฐ์ฃผ๊ณตํ•™๊ณผ, 2021.8. ๊น€ํƒœ์ธ.This thesis presents an image gradient-based monocular visual-inertial odometry (VIO) algorithm, robust to illumination change. An accurate ego-motion estimation of a vehicle is essential in robotics and autonomous driving. As a countermeasure for a global navigation satellite system denied environment, the ego-motion estimation algorithm using camera and inertial measurement unit sensors, so-called VIO, has been researched in the last few decades. To encounter motion-blurred and featureless conditions, the researches on VIO algorithms have extended from indirect to direct methods through direct utilization of image intensities instead of image feature projections as measurements. Regrettably, the photometric consistency assumption, the constraint applied to formulate the direct method, is violated in the environment where illumination changes. Therefore, the research on VIO algorithms robust to illumination change is essential. Motivated by visual odometry research on alternative measurements utilization, we propose a novel direct monocular VIO algorithm that utilizes the image gradients instead of image intensities. The proposed algorithm applies this approach to the multi-state constraint Kalman filter (MSCKF), a sliding windowed extended Kalman filter (EKF). It utilizes the image gradients on the same image plane pixels where features are reprojected in the indirect MSCKF-based VIO algorithm. The robustness comparison of image gradients and image intensities is performed on a simulation dataset with Monte-Carlo simulation and verifies that the image gradients are more robust to the illumination change. To encounter a strong non-linearity of image gradients, we propose an extension of MSCKF to iterated EKF fused with a low-pass pyramid. The performance comparison of the filter extension is performed on a real-world dataset and verifies that the filter extension enhances the performance of the image gradient-based monocular VIO algorithm. The performance of the proposed algorithm is analyzed by comparing it with the performance of image reprojection-based and image intensity-based monocular VIO algorithms on the real-world dataset. The simulation results prove that our proposed algorithm outperforms other algorithms in the environment where illumination changes.๋ณธ ๋…ผ๋ฌธ์€ ๋ฐ๊ธฐ ๋ณ€ํ™” ํ™˜๊ฒฝ์— ๊ฐ•๊ฑดํ•œ ๋‹จ์•ˆ ์˜์ƒ ๊ทธ๋ ˆ์ด๋””์–ธํŠธ๋ฅผ ์ด์šฉํ•œ ์˜์ƒ ๊ด€์„ฑ ์˜ค๋„๋ฉ”ํŠธ๋ฆฌ๋ฅผ ์ œ์•ˆํ•œ๋‹ค. ์˜์ƒ ๊ด€์„ฑ ํ•ญ๋ฒ• ์—ฐ๊ตฌ๋Š” ๋ชจ์…˜ ๋ธ”๋Ÿฌ์™€ ํŠน์ง•์ ์ด ๋ถ€์กฑํ•œ ํ™˜๊ฒฝ์—์„œ์˜ ์„ฑ๋Šฅ์„ ๊ฐœ์„ ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๊ธฐ์กด ํŠน์ง•์  ๊ธฐ๋ฐ˜์—์„œ ๋ฐ๊ธฐ ๊ธฐ๋ฐ˜์œผ๋กœ ํ™•์žฅ๋˜๊ณ  ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋ฐ๊ธฐ ๊ธฐ๋ฐ˜ ์˜์ƒ ๊ด€์„ฑ ํ•ญ๋ฒ•์€ ๋ฐ๊ธฐ ์ผ๊ด€์„ฑ์„ ๊ฐ€์ •ํ•˜๊ธฐ ๋•Œ๋ฌธ์— ๋ฐ๊ธฐ ๋ณ€ํ™” ํ™˜๊ฒฝ์—์„œ์˜ ํ•ญ๋ฒ• ์„ฑ๋Šฅ์ด ๊ฐ์†Œํ•œ๋‹ค. ์ด๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๋ฐ๊ธฐ ๋ณ€ํ™”์— ๋ฏผ๊ฐํ•œ ์˜์ƒ ๋ฐ๊ธฐ ๋Œ€์‹  ๊ฐ•๊ฑดํ•œ ์˜์ƒ ๊ทธ๋ ˆ์ด๋””์–ธํŠธ๋ฅผ ์ธก์ •์น˜๋กœ ํ™œ์šฉํ•˜๋Š” ์˜์ƒ ๊ด€์„ฑ ์˜ค๋„๋ฉ”ํŠธ๋ฆฌ๋ฅผ ์ œ์•ˆํ•œ๋‹ค. ์ œ์•ˆํ•œ ๋ฐฉ๋ฒ•์€ ์Šฌ๋ผ์ด๋”ฉ ์œˆ๋„์šฐ ํ˜•ํƒœ์˜ ํ™•์žฅ ์นผ๋งŒ ํ•„ํ„ฐ์ธ ๋‹ค์ค‘ ์ƒํƒœ ์ œ์•ฝ ์นผ๋งŒ ํ•„ํ„ฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ๋‹ค. ๊ทธ๋ ˆ์ด๋””์–ธํŠธ๋Š” ์žฌํˆฌ์˜ ์œ„์น˜์— ํ•ด๋‹นํ•˜๋Š” ๊ฐ’์„ ์„ ์ •ํ•˜์—ฌ ์ธก์ •์น˜๋กœ ํ™œ์šฉํ•œ๋‹ค. ๊ทธ๋ ˆ์ด๋””์–ธํŠธ์˜ ๊ฐ•ํ•œ ๋น„์„ ํ˜•์„ฑ์œผ๋กœ ์ธํ•˜์—ฌ ๋ฐœ์ƒํ•˜๋Š” ํ•ญ๋ฒ• ์„ฑ๋Šฅ ์ €ํ•˜๋ฅผ ์ตœ์†Œํ™”ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๋‹ค์ค‘ ์ƒํƒœ ์ œ์•ฝ ์นผ๋งŒ ํ•„ํ„ฐ์— ๋ฐ˜๋ณต ํ™•์žฅ ์นผ๋งŒ ํ•„ํ„ฐ์™€ ๋กœ์šฐํŒจ์Šค ํ”ผ๋ผ๋ฏธ๋“œ๋ฅผ ์œตํ•ฉํ•˜์—ฌ ์„ ํ˜•ํ™” ์˜ค์ฐจ๋ฅผ ๊ฐœ์„ ํ•˜์˜€๋‹ค. ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ฐ์ดํ„ฐ์…‹์„ ํ™œ์šฉํ•˜์—ฌ ๋ฐ๊ธฐ๋ฅผ ์ธก์ •์น˜๋กœ ํ™œ์šฉํ•˜์˜€์„ ๋•Œ์˜ ์œ„์น˜์™€ ์ž์„ธ ์ถ”์ • ์˜ค์ฐจ๋ณด๋‹ค ๊ทธ๋ ˆ์ด๋””์–ธํŠธ๋ฅผ ์ธก์ •์น˜๋กœ ํ™œ์šฉํ•˜์˜€์„ ๋•Œ์˜ ์œ„์น˜์™€ ์ž์„ธ ์ถ”์ • ์˜ค์ฐจ๊ฐ€ ๋” ์ž‘์œผ๋ฉฐ ๋ฐ๊ธฐ ๋ณ€ํ™” ์ •๋„๋ฅผ ์กฐ์ ˆํ•˜์˜€์„ ๋•Œ, ๊ทธ๋ ˆ์ด๋””์–ธํŠธ ๊ธฐ๋ฐ˜ ๊ธฐ๋ฒ•์˜ ์„ฑ๋Šฅ์€ ๋ฐ๊ธฐ ๊ธฐ๋ฐ˜ ๊ธฐ๋ฒ•์˜ ์„ฑ๋Šฅ์— ๋น„ํ•˜์—ฌ ๋œ ์˜ํ–ฅ์„ ๋ฐ›์Œ์„ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ†ตํ•˜์—ฌ ๋ฐ๊ธฐ ๋ณ€ํ™”์— ๋Œ€ํ•œ ๊ทธ๋ ˆ์ด๋””์–ธํŠธ์˜ ๊ฐ•๊ฑด์„ฑ์„ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ์‹ค๋ฐ์ดํ„ฐ์…‹์„ ํ™œ์šฉํ•˜์—ฌ ๊ทธ๋ ˆ์ด๋””์–ธํŠธ ๊ธฐ๋ฐ˜ ๊ธฐ๋ฒ•์„ ๊ธฐ์กด ๋‹ค์ค‘ ์ƒํƒœ ์ œ์•ฝ ์นผ๋งŒ ํ•„ํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์˜€์„ ๋•Œ์™€ ๋ฐ˜๋ณต ํ™•์žฅ ์นผ๋งŒ ํ•„ํ„ฐ์™€ ๋กœ์šฐํŒจ์Šค ํ”ผ๋ผ๋ฏธ๋“œ๋ฅผ ์œตํ•ฉํ•˜์˜€์„ ๋•Œ์˜ ์„ฑ๋Šฅ์„ ๋น„๊ตํ•˜์—ฌ ํ•„ํ„ฐ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ์„ ํ˜•ํ™” ์˜ค์ฐจ ๊ฐœ์„ ์„ ํ†ตํ•œ ์„ฑ๋Šฅ ํ–ฅ์ƒ์„ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ์ œ์•ˆํ•œ ๊ธฐ๋ฒ•์„ ํŠน์ง•์  ๊ธฐ๋ฐ˜ ๋ฐ ์˜์ƒ ๊ธฐ๋ฐ˜ ๊ธฐ๋ฒ•๊ณผ ์„ฑ๋Šฅ์„ ๋น„๊ตํ•˜์—ฌ ๋ฐ๊ธฐ ๋ณ€ํ™” ํ™˜๊ฒฝ์—์„œ ์ œ์•ˆํ•œ ๊ธฐ๋ฒ•์˜ ํ–ฅ์ƒ์„ ํ™•์ธํ•˜์˜€๋‹ค.Chapter 1 Introduction 1 1.1 Motivation and Background 1 1.2 Objectives and Contributions 2 Chapter 2 Related Works 3 2.1 Visual Odometry 3 2.2 Visual-Inertial Odometry 4 2.3 Illumination Change 7 2.3.1 Illumination Parameter 7 2.3.2 Image Gradient Measurement 7 Chapter 3 Image Gradient-based Monocular VIO 8 3.1 Preliminaries 10 3.2 Camera Projection Geometric Model 10 3.3 State Representation 10 3.4 Measurement Model 14 3.5 Measurement Update 15 Chapter 4 Performance Analysis 25 4.1 Monte-Carlo Simulation Performance Analysis 25 4.1.1 VIODE Dataset 25 4.1.2 Experimental Condition 28 4.1.3 Performance Analysis on Illumination Bias Uncertainties 30 4.2 Real-World Experimental Performance Analysis 33 4.2.1 EuRoC Dataset 33 4.2.2 Experimental Conditions 35 4.2.3 Performance Analysis on Filters 37 4.2.4 Performance Analysis on Measurements 45 Chapter 5 Conclusions 59 5.1 Summary and Conclusion 59 5.2 Future Work 60 Bibliography 61 ๊ตญ๋ฌธ์ดˆ๋ก 65์„

    Experimental study on the effect of hyperbaric oxygen therapy on the healing process of mandibular osteomyelitis in albino rats

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    ์น˜์˜ํ•™๊ณผ/๋ฐ•์‚ฌ[ํ•œ๊ธ€]์ €์ž๋Š” ์ƒํ›„ 3๊ฐœ์›” ์ฒด์ค‘ 200g ๋‚ด์™ธ์˜ Sprague Dawley๊ณ„ ์›…์„ฑ๋ฐฑ์„œ 60๋‘์˜ ํ•˜์•…๊ณจ์— ๊ณจ๋‚ด์ฐฝ์ƒ, ํ•˜์น˜์กฐํ˜ˆ๊ด€ ์†Œ์ž‘ ๋ฐ Staphylococcus aureus ๊ท ์ฃผ ์ฃผ์ž…์œผ๋กœ ๊ณจ์ˆ˜์—ผ์„ ์œ ๋ฐœ์‹œํ‚จ ํ›„ ๋Œ€์กฐ๊ตฐ๊ณผ ์‹คํ—˜๊ตฐ ๊ฐ 30๋‘๋กœ ๊ตฌ๋ถ„ํ•˜๊ณ , ์‹คํ—˜๊ตฐ์„ 2.5 ๊ธฐ์••ํ•˜ 100%์‚ฐ์†Œ์— ํ•˜๋ฃจ 2์‹œ๊ฐ„์”ฉ, ์ฃผ 6ํšŒ ๋…ธ์ถœ์‹œํ‚ค๋ฉด์„œ ๊ธฐ๊ฐ„๋ณ„๋กœ ์กฐ์ง๊ฒ€๊ฒฝ ๋ฐ 99m**Tc-DMP๋ฅผ ์ด์šฉํ•œ ๊ณจ์ฃผ์‚ฌ๋ฅผ ์‹œํ–‰ํ•˜์—ฌ ์น˜์œ ๊ณผ์ •์„ ๋น„๊ต๊ด€์ฐฐํ•œ ๋ฐ” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๊ฒฐ๋ก ์„ ์–ป์—ˆ๋‹ค. 1. ๋ณ‘๋ฆฌ์กฐ์งํ•™์  ์†Œ๊ฒฌ์—์„œ ๋Œ€์กฐ๊ตฐ์ด ์ง€์†์ ์ด๊ณ  ์‹ฌํ•œ ์—ผ์ฆ์„ธํฌ์นจ์œค ๋ฐ ๋†์–‘ํ˜•์„ฑ์„ ๋ณด์ด๋Š” ๋ฐ˜๋ฉด ๊ณ ์••์‚ฐ์†Œ์š”๋ฒ•์„ ์‹œํ–‰ํ•œ ์‹คํ—˜๊ตฐ์€ 2์ฃผ๋ถ€ํ„ฐ ์—ผ์ฆ์„ธํฌ์นจ์œค์ด ๊ฐ์†Œ๋˜๊ณ  ์„ฌ์œ ์•„์„ธํฌ์ฆ์‹์ด ํ™œ๋ฐœํ•ด์ง€๋ฉด์„œ 3์ฃผ์งธ ๋†์–‘ํ˜•์„ฑ์ด ์ค‘์ง€๋˜๋Š” ๋“ฑ ์—ผ์ฆ์ด ํ˜„์ €ํžˆ ๊ฐ์†Œ๋จ์„ ๋ณด์˜€๋‹ค. 2. ๋ณ‘๋ฆฌ์กฐ์งํ•™์  ์†Œ๊ฒฌ์—์„œ ๊ณจ์ฃผ์‚ฌ์ œ (99m**TC-MDP)์˜ ๊ตญ์†Œ๊ณจ ์„ญ์ทจ์˜ ์ฆ๊ฐ€์™€ ๋ฐ€์ ‘ํ•œ ๊ด€๋ จ์ด ์žˆ๋Š” ๋ชจ์„ธํ˜ˆ๊ด€์ฆ์‹๊ณผ ์‹ ์ƒ๊ณจ ํ˜•์„ฑ์€ ์‹คํ—˜๊ตฐ์—์„œ 1์ฃผ์งธ๋ถ€ํ„ฐ ์ค‘๋“ฑ๋„์˜ ๋ชจ์„ธํ˜ˆ๊ด€ ์ฆ์‹์ด ๊ด€์ฐฐ๋˜์—ˆ๊ณ , 2์ฃผ์—๋Š” ๊ฒฝ๋„์˜ ์‹ ์ƒ๊ณจ ํ˜•์„ฑ ๋ฐ ์™•์„ฑํ•œ ๋ชจ์„ธํ˜ˆ๊ด€์ฆ์‹์ƒ์„ ๋ณด์ด๋Š” ์œก์•„์กฐ์ง์ด ๋ณด์˜€์œผ๋ฉฐ, 3์ฃผ ์ดํ›„์—๋Š” ์ง€์†์ ์ธ ๋ชจ์„ธํ˜ˆ๊ด€์ฆ์‹์ƒ์ด ๊ด€์ฐฐ๋˜์—ˆ๋‹ค. 3. ๊ณจ์ฃผ์‚ฌ ์ •์  ์˜์ƒ ์†Œ๊ฒฌ์—์„œ์˜ ํ‰๊ท  ๋ฐฉ์‚ฌ์„ฑ ํ™œ๋™๋„ ๋น„์œจ์€ ๋Œ€์กฐ๊ตฐ์ด 6์ฃผ๊นŒ์ง€ ์„œ์„œํžˆ ์ฆ๊ฐ€๋˜๋Š” ์–‘์ƒ์„ ๋ณด์ธ ๋ฐ˜๋ฉด, ์‹คํ—˜๊ตฐ์€ 3์ฃผ๋™์•ˆ์€ ๋Œ€์กฐ๊ตฐ์— ๋น„ํ•ด ํฌ๊ฒŒ ์ฆ๊ฐ€ํ•˜๋‹ค๊ฐ€ 4์ฃผ ์ดํ›„๋กœ๋Š” ์˜คํžˆ๋ ค ๊ฐ์†Œ๋˜๋Š” ์–‘์ƒ์„ ๋ณด์˜€๋‹ค. [์˜๋ฌธ]The main objective of this study wart to observe the effects of hyperbaric oxygen therapy on the healing process mandibular osteomyelitis in Albino rats. Author was able to produce the experimental osteomyelitis by formation of bone hole into the medullary cavity, cauterization of inferior alveolar vessel and insertion of containing 2.5-3.0ร—10**7 organisms of Staphylococcus aureus. Author used 60 rats (Sprague-Dawley Strain) dividing into control(30) and experimental group(30) after establishment of mandibular osteomyelitis. Experimental group received hyperbaric oxygen therapy(2hrs, daily at 2.5 ATA, 6 days a week) and effects of HBO therapy was observed by microscopically and bone scanning using **99m Tc-MDP. The obtained results were as follows. 1. Microscopically, the experimental group showed significant decreasing tendency of inflammation in which at the 2nd week, decreased infiltration of inflammatory cells and active proliferation of fibroblasts, at the 3rd week, loss of pus discharge were observed while the control showed continuing severe infiltration of inflammatory cells and pus discharge. 2. Microscopically, the experimental group showed moderate proliferation of capillary blood vessels at the 1st week, mild new bone formation and granulation tissues with active proliferation of capillary blood vessels at the 2nd week and after then, continuing proliferation of capillary blood vessels, which findings seemed to have intimate relationship with local increased uptake of radioisotopes. 3. The static image of the bone scan demonstrated that the average radioactivity ratios have slowly increasing pattern during the whole experimental period in the control group, while in the experimental group, steep increasing until the 3rd week, after then, rather decreasing pattern than in the control group.restrictio

    ๊ธฐ์ €๋ง‰์˜ ์ฃผํŒŒ์ˆ˜ ๋ถ„๋ฆฌ ํŠน์„ฑ์„ ์ด์šฉํ•œ ์ธ๊ณต ๊ธฐ์ €๋ง‰ ์„ค๊ณ„

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™๋ถ€(๋ฉ€ํ‹ฐ์Šค์ผ€์ผ ๊ธฐ๊ณ„์„ค๊ณ„์ „๊ณต), 2012. 8. ์กฐ๋งนํšจ.๊ธฐ์ €๋ง‰์€ ์‚ฌ๋žŒ ๋‚ด์ด์˜ ๋‹ฌํŒฝ์ด๊ด€์— ์œ„์น˜ํ•œ ๊ธฐ๊ด€์œผ๋กœ์จ ์™ธ๋ถ€๋กœ๋ถ€ํ„ฐ ์œ ์ž…๋œ ์ŒํŒŒ์˜ ์ฃผํŒŒ์ˆ˜์— ๋”ฐ๋ผ ์ง„๋™์˜ ์ตœ๋Œ€ ์ง„ํญ์ด ๋‚˜ํƒ€๋‚˜๋Š” ์œ„์น˜๊ฐ€ ๋‹ฌ๋ผ์ง€๋Š” ํŠน์ง•์ด ์žˆ๋‹ค. ์ €์ฃผํŒŒ ์Œ๊ณผ ๊ณ ์ฃผํŒŒ ์Œ์— ๋ฐ˜์‘ํ•˜์—ฌ ๊ธฐ์ €๋ง‰์˜ ์ฒจ๋ถ€์—์„œ ๊ธฐ์ €๋ถ€๋กœ ์ตœ๋Œ€ ์ง„ํญ ๋ฐœ์ƒ ์œ„์น˜๊ฐ€ ์ผ์ •ํ•˜๊ฒŒ ์ด๋™ํ•˜๊ฒŒ ๋˜๋Š”๋ฐ ์ด๋ฅผ ์ฃผํŒŒ์ˆ˜ ๋ถ„๋ฆฌ ํ˜„์ƒ์ด๋ผ๊ณ  ํ•˜๋ฉฐ, ์ด๋Š” ๊ธฐ์ €๋ง‰ ํ˜•์ƒ์— ์˜ํ•ด ๊ฒฐ์ •๋˜๋Š” ์„ฑ์งˆ์ด๋‹ค. ์™„์ „ ์‚ฝ์ž…ํ˜• ์ธ๊ณต์™€์šฐ ์ œํ’ˆ ๊ฐœ๋ฐœ์„ ์œ„ํ•œ ์—ฐ๊ตฌ์˜ ์ผํ™˜์œผ๋กœ, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ธฐ์ €๋ง‰์˜ ์ฃผํŒŒ์ˆ˜ ๋ถ„๋ฆฌ ํŠน์„ฑ์„ ์ด์šฉํ•˜๋Š” ์ธ๊ณต ๊ธฐ์ €๋ง‰ ๋ชจ๋ธ ์„ค๊ณ„๋ฅผ ์œ„ํ•œ ๊ธฐ์ดˆ์ ์ธ ๋ฐฉํ–ฅ์„ ์ œ์‹œํ•˜์˜€๋‹ค. ์ƒ์šฉ ์ „์‚ฐํ•ด์„ ์†Œํ”„ํŠธ์›จ์–ด Abaqus๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ธ๊ณต ๊ธฐ์ €๋ง‰ ๋ชจ๋ธ์˜ ์Œํ–ฅ ์ง„๋™ ํŠน์„ฑ์„ ์œ ํ•œ์š”์†Œ ํ•ด์„์„ ํ†ตํ•ด ๋ชจ์‚ฌํ•˜์˜€์œผ๋ฉฐ ์ „์‚ฐํ•ด์„๊ฒฐ๊ณผ๋Š” ์‹คํ—˜๊ฒฐ๊ณผ์™€์˜ ๋น„๊ต๋ฅผ ํ†ตํ•ด ๊ฒ€์ฆํ•˜์˜€๋‹ค. ๊ธฐ์ €๋ง‰ ๋ชจ๋ธ์˜ ํ˜•์ƒ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ์ฃผํŒŒ์ˆ˜ ๋ถ„๋ฆฌ ๋Œ€์—ญ ๋ณ€ํ™” ๊ฒฝํ–ฅ์„ ์„ค๊ณ„์ธ์ž ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ์•Œ์•„๋ณด์•˜๋‹ค. ์ด๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ๋‹ค์–‘ํ•œ ํ˜•์ƒ์˜ ๊ธฐ์ €๋ง‰ ๋ชจ๋ธ์— ๋Œ€ํ•œ ์ฃผํŒŒ์ˆ˜ ๋ถ„๋ฆฌ ๋Œ€์—ญ์„ ์œ ์ถ”ํ•ด ๋‚ผ ์ˆ˜ ์žˆ๋Š” ๋ฐ˜์‘ํ‰๋ฉด ํ•จ์ˆ˜๋ฅผ ๋„์ถœํ•˜์˜€๋‹ค. ๊ธฐ์ €๋ง‰ ํ•„๋ฆ„์— ๋ฐœ์ƒํ•˜๊ฒŒ ๋˜๋Š” ์ž”๋ฅ˜์‘๋ ฅ์˜ ํฌ๊ธฐ๊ฐ€ ๊ธฐ์ €๋ง‰ ๋ชจ๋ธ ํ˜•์ƒ๊ณผ ๋”๋ถˆ์–ด ์ฃผํŒŒ์ˆ˜ ๋ถ„๋ฆฌ ๋Œ€์—ญ์„ ๋ณ€ํ™”์‹œํ‚ค๋Š” ์ธ์ž์ž„์„ ํ™•์ธํ•˜์˜€๋‹ค. ๊ธฐ์ €๋ง‰ ๋ชจ๋ธ ํ˜•์ƒ๊ณผ ์ž”๋ฅ˜์‘๋ ฅ์˜ ํฌ๊ธฐ๋ฅผ ์„ค๊ณ„๋ณ€์ˆ˜๋กœ ์ง€์ •ํ•œ ๋’ค ์ตœ์ ํ™” ๊ณผ์ •์„ ํ†ตํ•˜์—ฌ ์„ค๊ณ„์ž๊ฐ€ ์›ํ•˜๋Š” ์ฃผํŒŒ์ˆ˜ ๋ฒ”์œ„์—์„œ ์ฃผํŒŒ์ˆ˜ ๋ถ„๋ฆฌ ๊ธฐ๋Šฅ์„ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ๋Š” ์ธ๊ณต ๊ธฐ์ €๋ง‰ ๋ชจ๋ธ์˜ ์ œ์›์„ ์•Œ์•„๋‚ด์—ˆ๋‹ค.๋ชฉ ์ฐจ ์ดˆ ๋ก.........................................................................................................................โ…ฐ ๋ชฉ ์ฐจ.........................................................................................................................โ…ฑ ๊ทธ๋ฆผ ๋ชฉ๋ก..................................................................................................................โ…ฒ ํ‘œ ๋ชฉ๋ก.......................................................................................................................โ…ด 1. ์„œ ๋ก .................................................................................................................1 2. ์‹คํ—˜ ์žฅ์น˜ ๋ฐ ์‹คํ—˜ ๋ฐฉ๋ฒ•..................................................................................4 3. ๊ธฐ์ €๋ง‰ ๋ชจ๋ธ ์ „์‚ฐ๋ชจ์‚ฌ.....................................................................................10 3.1 ์Œํ–ฅ-๊ตฌ์กฐ ์—ฐ์„ฑ ํ•ด์„.........................................................................10 3.2 ์œ ํ•œ์š”์†Œ ๊ธฐ์ €๋ง‰ ํ•ด์„๋ชจ๋ธ ์ „์‚ฐ๋ชจ์‚ฌ.................................................12 4. ์„ค๊ณ„ ์ธ์ž ์—ฐ๊ตฌ.................................................................................................21 4.1 ๊ธฐ์ €๋ง‰ ๋ชจ๋ธ ์™ผ์ชฝ ๋ณ€ ๊ธธ์ด ๋ณ€ํ™”์˜ ์˜ํ–ฅ............................................21 4.2 ๊ธฐ์ €๋ง‰ ๋ชจ๋ธ ์˜ค๋ฅธ์ชฝ ๋ณ€ ๊ธธ์ด ๋ณ€ํ™”์˜ ์˜ํ–ฅ........................................29 4.3 ๊ธฐ์ €๋ง‰ ๋ชจ๋ธ ์–‘ ๋ณ€ ๊ธธ์ด ๋ณ€ํ™”์˜ ์˜ํ–ฅ................................................36 5. ๊ธฐ์ €๋ง‰ ๋ชจ๋ธ ์„ค๊ณ„.............................................................................................42 5.1 ์ฃผํŒŒ์ˆ˜ ๋ถ„๋ฆฌ ๋Œ€์—ญ ๋ฐ˜์‘ํ‰๋ฉด ํ•จ์ˆ˜........................................................42 5.2 ์ž”๋ฅ˜์‘๋ ฅ์˜ ์˜ํ–ฅ.......................................................................................46 5.3 ๊ธฐ์ €๋ง‰ ๋ชจ๋ธ ์„ค๊ณ„.....................................................................................48 6. ๊ฒฐ ๋ก ...............................................................................................................50 ์ฐธ๊ณ ๋ฌธํ—Œ....................................................................................................................51 Abstract....................................................................................................................52Maste

    ้Ÿ“ๅ›ฝ่ชžใฎๆ–‡ใฎๆ„ๅ‘ณใƒฌใ‚คใƒคใƒผใซใคใ„ใฆใฎ็ ”็ฉถ: ไบ‹ไปถใ€ๅ‘ฝ้กŒใ€ไบ‹ๅฎŸใ€่จ€่ชž่กŒ็‚บใ‚’ไธญๅฟƒใซ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ธ๋ฌธ๋Œ€ํ•™ ๊ตญ์–ด๊ตญ๋ฌธํ•™๊ณผ, 2019. 2. ์ „์˜์ฒ .ๆœฌ็จฟใงใฏไบ‹ไปถใ€ๅ‘ฝ้กŒใ€ไบ‹ๅฎŸใ€่จ€่ชž่กŒ็‚บ็ญ‰ใฎๆ„ๅ‘ณใƒฌใ‚คใƒคใƒผใ‚’ไธญๅฟƒใซใ€้Ÿ“ๅ›ฝ่ชžใฎใ„ใใคใ‹ใฎ่จ€่ชž็พ่ฑกใ‚’่ชฌๆ˜Žใ™ใ‚‹ใ“ใจใ‚’่ฉฆใฟใŸใ€‚ใ™ใชใ‚ใกใ€ใ“ใ‚Œใ‚‰ใฎๆ„ๅ‘ณใƒฌใ‚คใƒคใƒผใŒใ‚ใ‚‹่จ€่ชž่กจ็พใฎ่งฃ้‡ˆใซๅฆ‚ไฝ•ใซ้–ขไธŽใ™ใ‚‹ใฎใ‹ใ€ใพใŸๅฆ‚ไฝ•ใชใ‚‹่จ€่ชž่กจ็พใซใ‚ˆใฃใฆใใ‚Œใžใ‚Œใฎๆ„ๅ‘ณใƒฌใ‚คใƒคใƒผใŒ่กจ็พใ•ใ‚Œใ‚‹ใฎใ‹ใซใคใ„ใฆ่€ƒๅฏŸใ—ใŸใ€‚ ใใฎใŸใ‚ใซใ€ใพใšๆ ธๅ™่ฟฐๅ˜ไฝใ‚’่จญๅฎšใ—ใŸใ€‚ๆ ธๅ™่ฟฐๅ˜ไฝใจใฏใ€่ฟฐ่ชžใŒ้ …ใ‚’็ตฑ็Ž‡ใ™ใ‚‹ๆง‹ๆˆไฝ“ใงใ‚ใ‚‹ใ€‚ใ“ใฎๆ ธๅ™่ฟฐๅ˜ไฝใฏ่จ€่ชž็†่ซ–็š„ใช็”ฃ็‰ฉใงใ‚ใฃใฆใ€ๅฎŸๅญ˜ใ™ใ‚‹ใ‚‚ใฎใงใฏใชใ„ใ€‚ใ—ใŸใŒใฃใฆๆœฌ็จฟใฏใ€ใ“ใฎๆ ธๅ™่ฟฐๅ˜ไฝใ‚’ไบ‹ไปถใ‚„ๅ‘ฝ้กŒใงใ‚ใ‚‹ใจๆŠŠๆกใ™ใ‚‹ใ‚ˆใ†ใชใ€ใ‚ใ‚‰ใ‚†ใ‚‹่ญฐ่ซ–ใซๅๅฏพใ™ใ‚‹ใ‚‚ใฎใงใ‚ใ‚‹ใ€‚ไธ€ๆ–นใ€ไบ‹ไปถใ‚„ๅ‘ฝ้กŒใ€ไบ‹ๅฎŸใ€่จ€่ชž่กŒ็‚บใชใฉใฏๅฎŸๅญ˜ใ™ใ‚‹ๅฎŸไฝ“ใงใ‚ใ‚‹ใ€‚ใพใš่จ€่ชžๅฝขๅผใซใ‚ˆใฃใฆ่กจ็พใ•ใ‚Œใ‚‹ไบ‹ไปถใจใฏใ€ใ‚ใ‚‹ไธ–็•ŒใซใŠใ„ใฆๆ™‚็ฉบ้–“ไธŠใฎไฝ็ฝฎใ‚’ๅ ใ‚ใคใคใ€ๅˆฅใฎใ‚ใ‚‹ไบ‹ไปถใ‚’ๅผ•ใ่ตทใ“ใ™ๅŽŸๅ› ใจใชใ‚‹ไบ‹ไปถใŒๆฆ‚ๅฟตๅŒ–ใ•ใ‚ŒใŸๅฎŸไฝ“ใงใ‚ใ‚‹ใ€‚ใใฎๅ้ขใ€ๅ‘ฝ้กŒใฏไบ‹ไปถใŒใใฎใพใพๆŠฝ่ฑก็š„ๅฎŸไฝ“ใจใ—ใฆใƒฌใ‚คใƒคใƒผๅค‰ๆ›ใ•ใ‚ŒใŸใ‚‚ใฎใงใ‚ใ‚‹ใ€‚ใ“ใฎใ‚ˆใ†ใซๅ‘ฝ้กŒใจใ—ใฆๅค‰ๆ›ใ•ใ‚Œใฆใฏใ˜ใ‚ใฆใ€่ฉฑ่€…ใฏใใ‚Œใ‚’่จ€่ชž็š„ๆผ”็ฎ—ใฎๅฏพ่ฑกใจใ™ใ‚‹ใ“ใจใŒใงใใ‚‹ใ€‚ใ“ใฎๆ™‚ใ€ใใฎๅ‘ฝ้กŒใŒ่ฉฑ่€…ใซใจใฃใฆใ€Œ็œŸใ€ใงใ‚ใ‚Œใฐใ€ใใ‚Œใ‚’ไบ‹ๅฎŸใจๅ‘ผใถใ“ใจใŒใงใใ‚‹ใ€‚ ๆœฌ็จฟใงใฏใ€ๆ–‡ใฎๆ„ๅ‘ณใ‚„ๆŒ‡็คบๅฏพ่ฑก็ญ‰ใŒใใฎใพใพไบ‹ไปถใ€ๅ‘ฝ้กŒใ€ไบ‹ๅฎŸใชใฉใซๅฝ“ใŸใ‚‹ใ€ใจใ„ใ†้กžใฎ่ญฐ่ซ–ใ‚’ใ™ในใฆๆ‹’ๅฆใ—ใŸใ€‚ๆ–‡ใฏไบ‹ไปถใจใ„ใ†ๅฎข่ฆณใจ่ฉฑ่€…ใจใ„ใ†ไธป่ฆณใŒๅ‡บไผšใ†ๅ ดๆ‰€ใงใ‚ใ‚Šใ€ไธ€ใคใฎๆ„ๅ‘ณใƒฌใ‚คใƒคใƒผใจใ—ใฆใฏ็ขบๅฎšใ—ๅพ—ใชใ„ใ‚‚ใฎใงใ‚ใ‚‹ใ€‚ใŸใ ใ—ๆ–‡ๅ†…้ƒจใซใฏๆ„ๅ‘ณใƒฌใ‚คใƒคใƒผใŒๅญ˜ๅœจใ™ใ‚‹ใ€‚ใคใพใ‚Šใ€ๆ–‡ใฏใ€Œๆ„ๅ‘ณใƒฌใ‚คใƒคใƒผใ€ใจใ€Œไบ‹ไปถใซๅŠ ใˆใ‚‰ใ‚Œใ‚‹้™ๅฎšใ‚„ใ€ๅ‘ฝ้กŒใƒปไบ‹ๅฎŸใƒป่จ€่ชž่กŒ็‚บใซๅŠ ใˆใ‚‰ใ‚Œใ‚‹้™ๅฎšใ€ใŒ็ตๅˆใ—ใฆๆˆ็ซ‹ใ™ใ‚‹ใ‚‚ใฎใจ็†่งฃใ•ใ‚Œใ‚‹ใ€‚ๆœฌ็จฟใงใฏใ“ใฎใ‚ˆใ†ใช้™ๅฎšใ‚’ใ€ไบ‹ไปถใƒฌใƒ™ใƒซใฎ้™ๅฎšใจ่ซ‡่ฉฑใƒฌใƒ™ใƒซใฎ้™ๅฎšใจใซๅˆ†ใ‘ใŸใ€‚ใ“ใฎใ‚ˆใ†ใช้™ๅฎš่ฆ็ด ใจใ—ใฆใฏใ€่ชžๅฝ™็š„ใ‚ซใƒ†ใ‚ดใƒชใƒผใจใ—ใฆๅ‰ฏ่ฉžใ€ๆ–‡ๆณ•็š„ใ‚ซใƒ†ใ‚ดใƒชใƒผใจใ—ใฆๅ…ˆๆ–‡ๆœซ่ชžๅฐพใŒใ‚ใ‚Šใ€ใ“ใ‚Œใ‚‰ใฎ่ฆ็ด ใŒ็ตๅˆใ™ใ‚‹้ †ๅบใฏใ€ไบ‹ไปถใ‹ใ‚‰ๅ‘ฝ้กŒใ€ไบ‹ๅฎŸใ€่จ€่ชž่กŒ็‚บใจใ„ใ†ๆ–นๅ‘ใซ้€ฒใ‚€ๅผทใ„ๅ‚พๅ‘ๆ€งใŒ่ฆ‹ใ‚‰ใ‚Œใ‚‹ใ€‚ ๆ–‡ใฏใใฎใพใพ็‰นๅฎšใฎๆ„ๅ‘ณใƒฌใ‚คใƒคใƒผใซ็ตใณไป˜ใ‘ใ‚‰ใ‚Œใ‚‹ใ‚‚ใฎใงใฏใชใ„ใŒใ€ๅ่ฉž่ชžใฏ็‰นๅฎšใฎๆ„ๅ‘ณใƒฌใ‚คใƒคใƒผใซใใฎใพใพ็ตใณไป˜ใ‘ใ‚‰ใ‚Œใ‚‹ใ€‚ใใฎใ‚ˆใ†ใชๅ่ฉž่ชžใจใ—ใฆใฏไปฃ็”จ็š„ไปฃๅ่ฉž(anaphoric pronoun)ใ€ๅ่ฉžใ€ๅ่ฉžๅŒ–ๆง‹ๆ–‡ใชใฉใŒใ‚ใ‚‹ใ€‚ใพใŸไธ€้ƒจใฎๅ่ฉžใฎไธญใซใฏ็‰นๅฎšใฎๆ„ๅ‘ณใƒฌใ‚คใƒคใƒผใ‚’่กจใ™ๅ‚พๅ‘ใฎๅผทใ„ใ‚‚ใฎใŒใ‚ใ‚Šใ€ใ“ใ‚Œใ‚’X-ๆ€งๅ่ฉžใจๅ‘ผใ‚“ใ ใ€‚ๅ่ฉžๅŒ–ๆง‹ๆ–‡ใซใฏใ€ๅคงใใๅˆ†ใ‘ใฆ้žๅฎŒๅฝข่ฃœ็ฏ€ใฎๅ่ฉžๅŒ–ๆง‹ๆ–‡ใจๅฎŒๅฝข่ฃœ็ฏ€ใฎๅ่ฉžๅŒ–ๆง‹ๆ–‡ใŒใ‚ใ‚‹ใ€‚ๅ‰่€…ใฏไบ‹ไปถใ‚’ใ€ๅพŒ่€…ใฏๅ‘ฝ้กŒใ‚’่กจใ™ๅ‚พๅ‘ใŒๅผทใ„ใ€‚ใ“ใ‚Œใฏใ€ใใ‚Œใžใ‚Œใฎ็”ฑๆฅใŒๅ‰่€…ใฏๅ‹•ๅ่ฉžๅฝขใ€ๅพŒ่€…ใฏๅผ•็”จๅฝขๅผใจใ„ใ†ๆง˜ใซ็›ธ็•ฐใชใ‚‹ใŸใ‚ใงใ‚ใ‚‹ใ€‚ ใ‚ใ‚‹ๅ่ฉž่ชžใŒ็‰นๅฎšใฎๆ„ๅ‘ณใƒฌใ‚คใƒคใƒผใจใ—ใฆ่งฃ้‡ˆใ•ใ‚Œใ‚‹ๅ‚พๅ‘ใŒๅผทใ„ใจใฏ่จ€ใฃใฆใ‚‚ใ€ใ“ใ‚Œใฏๅฏๅค‰็š„ใงใ‚ใ‚‹ใ€‚ใ™ใชใ‚ใกใ‚ใ‚‹ๆ„ๅ‘ณใƒฌใ‚คใƒคใƒผใจ่งฃ้‡ˆใ•ใ‚Œใ‚‹ใ‹ๅฆใ‹ใฎๆ ธๅฟƒ็š„ใชไธปๅฐŽๆจฉใฏๅ่ฉž่ชžใงใชใใ“ใฎๅ่ฉž่ชžใ‚’็ตฑ็Ž‡ใ™ใ‚‹่ฟฐ่ชžใŒๆกใฃใฆใ„ใ‚‹ใ€‚ใ“ใ‚Œใ‚’ๆœฌ็จฟใงใฏใ‚ฟใ‚คใƒ—ๅผทๅˆถ็พ่ฑกใจใ—ใฆ่ชฌๆ˜Žใ—ใŸใ€‚ใ™ใชใ‚ใกๅฝ“่ฉฒใฎ่ฟฐ่ชžใŒใใฎ้ …ใซใŠใ„ใฆ็‰นๅฎšใฎๆ„ๅ‘ณใƒฌใ‚คใƒคใƒผใŒ็พใ‚Œใ‚‹ใ“ใจใ‚’ๅผทใ่ฆๆฑ‚ใ™ใ‚‹ใชใ‚‰ใฐใ€ๅฝ“่ฉฒใฎ้ …ใซใ‚ใ‚‹ๅ่ฉž่ชžใฏใใฎ็‰นๅฎšๆ„ๅ‘ณใƒฌใ‚คใƒคใƒผใจใ—ใฆ่งฃ้‡ˆใ•ใ‚Œใ‚‹ใ‚ใ‘ใงใ‚ใ‚‹ใ€‚ใ“ใ‚Œใซๅฏพใ—ๆœฌ็จฟใงใฏใ€ๆ„ๅ‘ณใƒฌใ‚คใƒคใƒผXใŒ้ …ใจใ—ใฆ็พใ‚Œใ‚‹ใ“ใจใ‚’่ฆๆฑ‚ใ™ใ‚‹X-ๆ€ง่ฟฐ่ชžใ‚’่จญๅฎšใ—ใŸใ€‚ใ—ใ‹ใ—ใ€ๆ„ๅ‘ณใƒฌใ‚คใƒคใƒผใฎ่งฃ้‡ˆใซใŠใ„ใฆ่ฟฐ่ชžใŒๅ…จใฆใงใ‚ใ‚‹ใ‚ใ‘ใงใฏใชใ„ใ€‚้ …ใซ็ตๅˆใ™ใ‚‹ๅŠฉ่ฉžใ€่ฟฐ่ชž่‡ชไฝ“ใฎๆ–‡ๆณ•ๅŒ–ใ€่ฉฑ่€…ใจๆ–‡ใฎไธป่ชžใŒไธ€่‡ดใ™ใ‚‹ใ‹ๅฆใ‹็ญ‰ใซใ‚ˆใ‚Šใ€ๅ่ฉž่ชžใฎ่งฃ้‡ˆใฏๅค‰่ชฟใ™ใ‚‹ใ€‚ ๆœฌ็จฟใฏไปฅไธŠใฎ่ญฐ่ซ–ใ‚’้€ฒใ‚ใ‚‹ใซใ‚ใŸใ‚Šใ€ๆ–‡(็™บ่ฉฑ)ใฏ่ฉฑ่€…ใจ่žใๆ‰‹ใฎๅญ˜ๅœจใ‚’ๅ‰ๆใจใ™ใ‚‹่ซ‡่ฉฑใจใ„ใ†่„ˆ็ตกใซใŠใ„ใฆๅญ˜ๅœจใ—ใ€ใพใŸใใฎ็›ฎ็š„ใฏๆ„ๆ€็–Ž้€šใซใ‚ใ‚‹ใจใ„ใ†ๆฉŸ่ƒฝๆ–‡ๆณ•ใฎ่จ€่ชž่ฆณใซ็ซ‹่„šใ—ใ€่ญฐ่ซ–ใ‚’ๅฑ•้–‹ใ—ใŸใ€‚ๆ„ๅ‘ณใƒฌใ‚คใƒคใƒผใฎ่งฃ้‡ˆใ‚‚ใ€ๆ–‡ใฎๅˆ†ๆžใ‚‚ใ€่จ€่ชžใฎไธปใช็›ฎ็š„ใŒๆ„ๆ€็–Ž้€šใซใ‚ใ‚‹ใจใ„ใ†ๅ‰ๆใŒใชใ‘ใ‚Œใฐไธๅฏ่ƒฝใงใ‚ใ‚ใ†ใ€‚๋ณธ๊ณ ์—์„œ๋Š” ์‚ฌ๊ฑด, ๋ช…์ œ, ์‚ฌ์‹ค, ํ™”ํ–‰ ๋“ฑ์˜ ์˜๋ฏธ ์ธต์œ„๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ํ•œ๊ตญ์–ด์˜ ๋ช‡๋ช‡ ์–ธ์–ด ํ˜„์ƒ์„ ์„ค๋ช…ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ๊ณง ์ด ์˜๋ฏธ ์ธต์œ„๋“ค์ด ์–ด๋–ค ์–ธ์–ด ํ‘œํ˜„์˜ ํ•ด์„์— ์–ด๋–ป๊ฒŒ ๊ด€์—ฌํ•˜๋Š”์ง€, ํ•œํŽธ์œผ๋กœ๋Š” ์–ด๋–ค ์–ธ์–ด ํ‘œํ˜„๋“ค์„ ํ†ตํ•ด ์ด๋Ÿฌํ•œ ์˜๋ฏธ ์ธต์œ„๋“ค์ด ๋“œ๋Ÿฌ๋‚˜๋Š”์ง€์— ๋Œ€ํ•ด ์‚ดํˆ๋‹ค. ์ด์— ์šฐ์„  ํ•ต ์„œ์ˆ  ๋‹จ์œ„๋ฅผ ์„ค์ •ํ•˜์˜€๋‹ค. ํ•ต ์„œ์ˆ  ๋‹จ์œ„๋Š” ์„œ์ˆ ์–ด๊ฐ€ ๋…ผํ•ญ์„ ๊ฑฐ๋Š๋ฆฌ๊ณ  ์žˆ๋Š” ๊ตฌ์„ฑ์ฒด์ด๋‹ค. ์ด ํ•ต ์„œ์ˆ  ๋‹จ์œ„๋Š” ์–ธ์–ด ์ด๋ก ์ ์ธ ์‚ฐ๋ฌผ์ผ ๋ฟ ์‹ค์ œ๋กœ ์กด์žฌํ•˜๋Š” ๊ฒƒ์€ ์•„๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋ฏ€๋กœ ์ด ํ•ต ์„œ์ˆ  ๋‹จ์œ„๋ฅผ ์‚ฌ๊ฑด์ด๋‚˜ ๋ช…์ œ๋กœ ํŒŒ์•…ํ•˜๋Š” ๋ชจ๋“  ๋…ผ์˜์— ๋ฐ˜๋Œ€ํ•œ๋‹ค. ํ•œํŽธ ์‚ฌ๊ฑด์ด๋‚˜ ๋ช…์ œ, ์‚ฌ์‹ค, ํ™”ํ–‰ ๋“ฑ์€ ์กด์žฌํ•˜๋Š” ์‹ค์ฒด์ด๋‹ค. ์šฐ์„  ์–ธ์–ด ํ˜•์‹์„ ๋นŒ๋ ค ํ‘œํ˜„๋˜๋Š” ์‚ฌ๊ฑด์€ ์–ด๋–ค ์„ธ๊ณ„์—์„œ ์‹œ๊ณต๊ฐ„์„ ์ ์œ ํ•˜๋ฉฐ ๋‹ค๋ฅธ ์‚ฌ๊ฑด์„ ์ผ์œผํ‚ค๋Š” ์›์ธ์ด ๋˜๋Š” ์‚ฌ๊ฑด์ด ๊ฐœ๋…ํ™”๋œ ๊ฒƒ์ด๋‹ค. ๋ฐ˜๋ฉด ๋ช…์ œ๋Š” ์ด๋Ÿฌํ•œ ์‚ฌ๊ฑด์ด ๊ทธ๋Œ€๋กœ ์ถ”์ƒ์  ์‹ค์ฒด๋กœ ์ธต์œ„๊ฐ€ ๋ณ€ํ™˜๋œ ๊ฒƒ์ด๋‹ค. ์ด๋ ‡๊ฒŒ ๋ช…์ œ๋กœ ์ธต์œ„๊ฐ€ ๋ณ€ํ™˜๋œ ํ›„์—์•ผ ํ™”์ž๋Š” ์–ธ์–ด์  ์—ฐ์‚ฐ์˜ ๋Œ€์ƒ์œผ๋กœ ์‚ผ์„ ์ˆ˜ ์žˆ๋‹ค. ๋‹ค๋งŒ ๋ช…์ œ๊ฐ€ ํ™”์ž์—๊ฒŒ ์ฐธ์ด๋ผ๋Š” ์ง€์œ„๋ฅผ ๊ฐ€์ง€๋ฉด ์ด๋ฅผ ์‚ฌ์‹ค์ด๋ผ๊ณ  ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋ณธ๊ณ ์—์„œ๋Š” ๋ฌธ์žฅ์˜ ์˜๋ฏธ, ์ง€์‹œ์ฒด ๋“ฑ์ด ์‚ฌ๊ฑด์ด๋‚˜ ๋ช…์ œ ํ˜น์€ ์‚ฌ์‹ค์— ํ•ด๋‹นํ•œ๋‹ค๊ณ  ํ•˜๋Š” ์—ฌ๋Ÿฌ ๋…ผ์˜๋ฅผ ๊ฑฐ๋ถ€ํ•˜์˜€๋‹ค. ๋ฌธ์žฅ์€ ์‚ฌ๊ฑด์ด๋ผ๋Š” ๊ฐ๊ด€๊ณผ ํ™”์ž๋ผ๋Š” ์ฃผ๊ด€์ด ๋งŒ๋‚˜๋Š” ๊ณณ์ด๋ฉฐ, ํ•œ ์˜๋ฏธ ์ธต์œ„๋กœ ํ™•์ •๋  ์ˆ˜ ์—†๋‹ค. ๋‹ค๋งŒ ๋ฌธ์žฅ ๋‚ด๋ถ€์—๋Š” ์˜๋ฏธ ์ธต์œ„๊ฐ€ ์กด์žฌํ•œ๋‹ค. ์ด์— ๋”ฐ๋ผ ๋ฌธ์žฅ์€ ์˜๋ฏธ ์ธต์œ„ ๊ทธ๋ฆฌ๊ณ  ์‚ฌ๊ฑด์— ๊ฐ€ํ•ด์ง€๋Š” ํ•œ์ •์ด๋‚˜ ๋ช…์ œ๋‚˜ ์‚ฌ์‹ค, ํ™”ํ–‰์— ๊ฐ€ํ•ด์ง€๋Š” ํ•œ์ •์ด ๋‹ฌ๋ผ๋ถ™์–ด ์ด๋ฃจ์–ด์ง€๋Š” ๊ฒƒ์œผ๋กœ ์ดํ•ด๋œ๋‹ค. ํ•œ์ •์€ ์‚ฌ๊ฑด ์ฐจ์›์˜ ํ•œ์ •๊ณผ ๋‹ดํ™” ์ฐจ์›์˜ ํ•œ์ •์œผ๋กœ ๊ตฌ๋ถ„ํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ํ•œ์ • ์š”์†Œ์—๋Š” ์–ดํœ˜์  ๋ฒ”์ฃผ๋กœ ๋ถ€์‚ฌ์–ด, ๋ฌธ๋ฒ•์  ๋ฒ”์ฃผ๋กœ ์„ ๋ฌธ๋ง ์–ด๋ฏธ๊ฐ€ ์žˆ๋Š”๋ฐ, ์ด๋“ค ์š”์†Œ๋“ค์€ ๋‹ฌ๋ผ๋ถ™๋Š” ์ˆœ์„œ์— ์žˆ์–ด ์‚ฌ๊ฑด์—์„œ ๋ช…์ œ, ์‚ฌ์‹ค, ํ™”ํ–‰์œผ๋กœ ๋‚˜์•„๊ฐ€๋Š” ๊ฐ•ํ•œ ๊ฒฝํ–ฅ์„ฑ์„ ๋ณด์ธ๋‹ค. ๋ฌธ์žฅ์€ ๋ฐ”๋กœ ํŠน์ • ์˜๋ฏธ ์ธต์œ„์— ์—ฐ๊ฒฐ๋˜์ง€ ์•Š์ง€๋งŒ ๋ช…์‚ฌ์–ด๋Š” ํŠน์ • ์˜๋ฏธ ์ธต์œ„์— ๋ฐ”๋กœ ์—ฐ๊ฒฐ๋œ๋‹ค. ์ด๋Ÿฌํ•œ ๋ช…์‚ฌ์–ด์—๋Š” ๋Œ€์šฉ์  ๋Œ€๋ช…์‚ฌ, ๋ช…์‚ฌ, ๋ช…์‚ฌํ™” ๊ตฌ๋ฌธ ๋“ฑ์ด ์žˆ์—ˆ๋‹ค. ์ผ๋ถ€ ๋ช…์‚ฌ ๊ฐ€์šด๋ฐ์—๋Š” ํŠน์ • ์˜๋ฏธ ์ธต์œ„๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” ๊ฒฝํ–ฅ์ด ๊ฐ•ํ•œ ๊ฒƒ์ด ์žˆ์—ˆ๋‹ค. ์ด๋ฅผ X-์„ฑ ๋ช…์‚ฌ๋ผ๊ณ  ํ•˜์˜€๋‹ค. ๋ช…์‚ฌํ™” ๊ตฌ๋ฌธ์€ ํฌ๊ฒŒ ๋น„์™„ํ˜• ๋ณด์ ˆ์˜ ๋ช…์‚ฌํ™” ๊ตฌ๋ฌธ๊ณผ ์™„ํ˜• ๋ณด์ ˆ์˜ ๋ช…์‚ฌํ™” ๊ตฌ๋ฌธ์ด ์žˆ์—ˆ๋‹ค. ์ „์ž๋Š” ์‚ฌ๊ฑด์„ ๋‚˜ํƒ€๋‚ด๋Š” ๊ฒฝํ–ฅ์ด ๊ฐ•ํ•˜๊ณ , ํ›„์ž๋Š” ๋ช…์ œ๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” ๊ฒฝํ–ฅ์ด ๊ฐ•ํ•˜๋‹ค. ์ด๋Š” ๊ฐ๊ฐ์˜ ์œ ๋ž˜๊ฐ€ ์ „์ž๋Š” ๋™๋ช…์‚ฌํ˜•, ํ›„์ž๋Š” ์ธ์šฉ ํ˜•์‹์œผ๋กœ ์ƒ์ดํ•˜๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ์–ด๋–ค ๋ช…์‚ฌ์–ด๊ฐ€ ํŠน์ • ์˜๋ฏธ ์ธต์œ„๋กœ ํ•ด์„๋˜๋Š” ๊ฒฝํ–ฅ์ด ๊ฐ•ํ•˜๋‹ค๊ณ  ํ•˜๋”๋ผ๋„ ์ด๋Š” ๊ฐ€๋ณ€์ ์ด๋‹ค. ๊ณง ์–ด๋–ค ์˜๋ฏธ ์ธต์œ„๋กœ ํ•ด์„๋˜๋Š”์ง€ ๊ฒฐ์ •ํ•˜๋Š” ํ•ต์‹ฌ์ ์ธ ์ฃผ๋„๊ถŒ์€ ๋ช…์‚ฌ์–ด๊ฐ€ ์•„๋‹ˆ๋ผ ์ด ๋ช…์‚ฌ์–ด๋ฅผ ์ทจํ•˜๋Š” ์„œ์ˆ ์–ด๊ฐ€ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค. ์ด๋ฅผ ๋ณธ๊ณ ์—์„œ๋Š” ์œ ํ˜• ๊ฐ•์ œ ํ˜„์ƒ์œผ๋กœ ์„ค๋ช…ํ•˜์˜€๋‹ค. ๊ณง ํ•ด๋‹น ์„œ์ˆ ์–ด๊ฐ€ ๊ทธ ๋…ผํ•ญ์œผ๋กœ ํŠน์ • ์˜๋ฏธ ์ธต์œ„๊ฐ€ ์˜ฌ ๊ฒƒ์„ ๊ฐ•ํ•˜๊ฒŒ ์š”๊ตฌํ•˜๊ณ  ์žˆ๋‹ค๋ฉด, ํ•ด๋‹น ๋…ผํ•ญ์— ์žˆ๋Š” ๋ช…์‚ฌ์–ด๋Š” ์„œ์ˆ ์–ด๊ฐ€ ์š”๊ตฌํ•˜๋Š” ํŠน์ • ์˜๋ฏธ ์ธต์œ„๋กœ ํ•ด์„๋˜๋Š” ๊ฒƒ์ด๋‹ค. ์ด์— ๋ณธ๊ณ ์—์„œ๋Š” ์˜๋ฏธ ์ธต์œ„ X๊ฐ€ ๋…ผํ•ญ์œผ๋กœ ์˜ฌ ๊ฒƒ์„ ์š”๊ตฌํ•˜๋Š” X-์„ฑ ์„œ์ˆ ์–ด๋ฅผ ์„ค์ •ํ•˜์˜€๋‹ค. ํ•˜์ง€๋งŒ ์˜๋ฏธ ์ธต์œ„์˜ ํ•ด์„์— ์žˆ์–ด์„œ ์„œ์ˆ ์–ด๊ฐ€ ์ „๋ถ€์ธ ๊ฒƒ๋งŒ์€ ์•„๋‹ˆ๋‹ค. ๋ช…์‚ฌ์–ด์— ๊ฒฐํ•ฉํ•˜๋Š” ์กฐ์‚ฌ, ์„œ์ˆ ์–ด ์ž์ฒด์˜ ๋ฌธ๋ฒ•ํ™”, ํ™”์ž์™€ ๋ฌธ์žฅ ๋‚ด ์ฃผ์–ด๊ฐ€ ์ผ์น˜ํ•˜๋Š”์ง€์˜ ์—ฌ๋ถ€ ๋“ฑ์— ๋”ฐ๋ผ ๋ช…์‚ฌ์–ด์˜ ํ•ด์„์€ ๋ณ€์กฐ๋œ๋‹ค. ๋ณธ๊ณ ๋Š” ์ด์ƒ์˜ ๋…ผ์˜๋ฅผ ์ง„ํ–‰ํ•จ์— ์žˆ์–ด, ๋ฌธ์žฅ(๋ฐœํ™”)์€ ํ™”์ž์™€ ์ฒญ์ž๋ฅผ ์ „์ œ๋กœ ํ•˜๋Š” ๋‹ดํ™”๋ฅผ ๋งฅ๋ฝ์œผ๋กœ ๊ฐ€์ง€๊ณ , ๋˜ํ•œ ๊ทธ ๋ชฉ์ ์€ ์˜์‚ฌ์†Œํ†ต์— ์žˆ๋‹ค๊ณ  ํ•˜๋Š” ๊ธฐ๋Šฅ๋ฌธ๋ฒ•์˜ ์–ธ์–ด๊ด€์— ์ž…๊ฐํ•˜์—ฌ ๋…ผ์˜๋ฅผ ์ „๊ฐœํ•˜์˜€๋‹ค. ์˜๋ฏธ ์ธต์œ„์˜ ํ•ด์„๋„, ๋ฌธ์žฅ์˜ ๋ถ„์„๋„ ์–ธ์–ด์˜ ์ฃผ๋œ ๋ชฉ์ ์ด ์˜์‚ฌ์†Œํ†ต์ด๋ผ๋Š” ์ „์ œ๊ฐ€ ์—†๋‹ค๋ฉด ๋ถˆ๊ฐ€๋Šฅํ•  ๊ฒƒ์ด๋‹ค.1. ์„œ๋ก  1 1.1. ์—ฐ๊ตฌ ๋ชฉ์  ๋ฐ ์˜์˜ 1 1.2. ์—ฐ๊ตฌ ๋Œ€์ƒ ๋ฐ ๊ธฐ์กด ๋…ผ์˜ ๊ฒ€ํ†  4 1.3. ์šฉ์–ด์˜ ์ •๋ฆฌ 12 1.4. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•๊ณผ ๋…ผ์˜์˜ ๊ตฌ์„ฑ 25 2. ๊ธฐ๋ณธ์  ๋…ผ์˜ 28 2.1. ๋ฌธ์ œ ์ œ๊ธฐ 28 2.1.1. ๋ฌธ์žฅ์—์„œ์˜ ๋ช…์ œ์˜ ๊ฒฝ๊ณ„ 28 2.1.2. ๋ฌธ์žฅ์˜ ์˜๋ฏธ์™€ ๋ฌธ์žฅ๊ด€ 39 2.2. ๋ฌธ์žฅ์„ ๊ตฌ์„ฑํ•˜๋Š” ์˜๋ฏธ ์ธต์œ„ 48 2.2.1. ํ•ต ์„œ์ˆ  ๋‹จ์œ„์˜ ์„ค์ • 48 2.2.2. ์‚ฌ๊ฑด 55 2.2.3. ๋ช…์ œ 66 2.2.4. ์‚ฌ์‹ค 78 2.2.5. ํ™”ํ–‰ 85 2.3. ์˜๋ฏธ ์ธต์œ„์— ๋Œ€ํ•œ ์‚ฌ๊ฑด/๋‹ดํ™” ์ฐจ์›์˜ ํ•œ์ • 91 2.4. ์š”์•ฝ 94 3. ๋ฌธ์žฅ์˜ ์˜๋ฏธ ์ธต์œ„๋ฅผ ๋“œ๋Ÿฌ๋‚ด๋Š” ํ†ตํ•ฉ ํ˜„์ƒ 96 3.1. ์‚ฌ๊ฑด๊ณผ ๋‹ดํ™” 96 3.1.1. ๊ฐ๊ด€์„ฑ๊ณผ ์ฃผ๊ด€์„ฑ 96 3.1.2. ์‚ฌ๊ฑด ์ฐธ์—ฌ์ž์™€ ๋‹ดํ™” ์ฐธ์—ฌ์ž 103 3.1.2.1. ์‚ฌ๊ฑด ์ฐธ์—ฌ์ž 103 3.1.2.2. ๋‹ดํ™” ์ฐธ์—ฌ์ž 112 3.2. ๋ฌธ์žฅ์˜ ์˜๋ฏธ ์ธต์œ„ ๊ตฌ์กฐ์™€ ๋ถ€์‚ฌ์–ด ๋ฐ ์„ ๋ฌธ๋ง์–ด๋ฏธ์˜ ํ†ตํ•ฉ 119 3.2.1. ์ด๋ก ์  ๋ฐฐ๊ฒฝ: ๋ฌธ์žฅ์˜ ์˜๋ฏธ ์ธต์œ„ ๊ตฌ์กฐ 119 3.2.2. ์˜๋ฏธ ์ธต์œ„ X์™€ ์‚ฌ๊ฑด/๋‹ดํ™” ์ง€ํ–ฅ ๋ถ€์‚ฌ์–ด 129 3.2.3. ์˜๋ฏธ ์ธต์œ„ X์™€ ์‚ฌ๊ฑด/๋‹ดํ™” ์ง€ํ–ฅ ์„ ๋ฌธ๋ง์–ด๋ฏธ 137 3.3. ์š”์•ฝ 145 4. ์˜๋ฏธ ์ธต์œ„๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” ๋ช…์‚ฌ์–ด๋“ค 147 4.1. ๋Œ€์šฉ์  ๋Œ€๋ช…์‚ฌ์™€ ์˜๋ฏธ ์ธต์œ„ 147 4.1.1. ๋Œ€์šฉ์  ๋Œ€๋ช…์‚ฌ๊ฐ€ ๋‚˜ํƒ€๋‚ด๋Š” ์˜๋ฏธ ์ธต์œ„ 147 4.1.2. ๋Œ€์šฉ์  ๋Œ€๋ช…์‚ฌ์˜ ์˜๋ฏธ ์ธต์œ„ ์ „ํ™˜ 152 4.2. X-์„ฑ ๋ช…์‚ฌ์™€ ์˜๋ฏธ ์ธต์œ„ 157 4.2.1. X-์„ฑ ๋ช…์‚ฌ๊ฐ€ ๋‚˜ํƒ€๋‚ด๋Š” ์˜๋ฏธ ์ธต์œ„ 157 4.2.2. X-์„ฑ ๋ช…์‚ฌ์˜ ์˜๋ฏธ ์ธต์œ„ ์ „ํ™˜ 165 4.3. ๋ช…์‚ฌํ™” ๊ตฌ๋ฌธ๊ณผ ์˜๋ฏธ ์ธต์œ„ 170 4.3.1. ๋ช…์‚ฌํ™” ๊ตฌ๋ฌธ์ด ๋‚˜ํƒ€๋‚ด๋Š” ์˜๋ฏธ ์ธต์œ„ 170 4.3.2. ๋น„์™„ํ˜• ๋ณด์ ˆ๊ณผ ์‚ฌ๊ฑด 180 4.3.3. ์™„ํ˜• ๋ณด์ ˆ๊ณผ ๋ช…์ œ(์‚ฌ์‹ค, ํ™”ํ–‰) 196 4.3.4. ๋น„์™„ํ˜• ๋ณด์ ˆ๊ณผ ๋น„ํ˜„์‹ค ์‚ฌ๊ฑด 203 4.4. ์š”์•ฝ 208 5. ์˜๋ฏธ ์ธต์œ„์˜ ํ•ด์„๊ณผ ์„œ์ˆ ์–ด 209 5.1. ์œ ํ˜• ๊ฐ•์ œ(type coercion)์™€ X-์„ฑ ์„œ์ˆ ์–ด 209 5.2. ์„œ์ˆ ์–ด์™€ ์˜๋ฏธ ์ธต์œ„ ํ•ด์„์˜ ๋‹ค์–‘์„ฑ 220 5.2.1. ์‚ฌ๊ฑด์„ฑ ์„œ์ˆ ์–ด์™€ ์‚ฌ๊ฑด/๋ช…์ œ/์‚ฌ์‹ค ํ•ด์„ 221 5.2.2. ๋ฐœํ™”/์ธ์ง€/๊ฐ์ • ์„œ์ˆ ์–ด์™€ ๋ช…์ œ/์‚ฌ์‹ค ํ•ด์„ 226 5.3. ์š”์•ฝ 239 6. ๊ฒฐ๋ก  241 6.1. ์š”์•ฝ 241 6.2. ๋‚จ์€ ๋ฌธ์ œ 244 ์ฐธ๊ณ ๋ฌธํ—Œ 246 267Docto

    (An) experimental study on the effect of stroid on postsurgical edema in rats

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    ์น˜์˜ํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€] ๊ตฌ๊ฐ• ์™ธ๊ณผ์ˆ  ํ›„์˜ ๋ถ€์ข…์€ ๋™ํ†ต์„ ์ˆ˜๋ฐ˜ํ•˜๊ณ , ๋•Œ๋•Œ๋กœ ์‹ฌ๊ฐํ•œ ์‹ฌ๋ฏธ์  ๋ถˆ์พŒ๊ฐ์„ ์ดˆ๋ž˜ํ•  ๋ฟ ์•„๋‹ˆ๋ผ, ๊ตญ์†Œ์  ๋นˆํ˜ˆ์— ์˜ํ•œ ์กฐ์ง ์ƒ์‹ค๊นŒ์ง€๋„ ์•ผ๊ธฐ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ถ€์ข…์˜ ๋ฐฉ์ง€ ํ˜น์€ ๊ฐ์†Œ๋ฅผ ์œ„ํ•ด ๋‹ค์–‘ํ•œ ์ข…๋ฅ˜์˜ ์†Œ์—ผ์ œ ๋ฐ ๋ณด์กฐ ์š”๋ฒ•์ด ์‹œํ–‰๋˜์–ด ์™”์œผ๋ฉฐ ๊ทธ ํšจ๋Šฅ์„ ํ‰๊ฐ€ํ•˜๋Š” ๋ฐฉ๋ฒ•์ด ๋ณด๊ณ ๋˜์–ด ์™”์œผ๋‚˜, ๋Œ€๋ถ€๋ถ„ ํ‰๊ฐ€์ž์˜ ์ฃผ๊ด€์„ฑ ๋ฐ ์ธก์ • ๋ฐฉ๋ฒ•์— ๋”ฐ๋ฅด๋Š” ์˜ค์ฐจ์˜ ์ˆ˜๋ฐ˜์„ ๋ฐฐ์ œํ•˜์ง€ ๋ชปํ•˜์˜€๋‹ค. ์ด์— ์ €์ž๋Š” 35๋งˆ๋ฆฌ์˜ ๋ฐฑ์„œ์—์„œ ์ˆ˜์ˆ  ์ „ํ›„์˜ ์กฐ์ง ์ˆ˜๋ถ„์˜ ํ•จ๋Ÿ‰์„ ์ธก์ •ยท๋น„๊ตํ•จ์œผ๋กœ์จ ๋ถ€์ข…์˜ ์ •๋„๋ฅผ ๋ณด๋‹ค ๊ฐ๊ด€์ ์œผ๋กœ ๊ฒฐ์ •ํ•˜๊ณ  ์†Œ์—ผ์ œ๋กœ ์ž์ฃผ ์‚ฌ์šฉ๋˜์–ด์˜จ ์Šคํ…Œ๋กœ์ด๋“œ์˜ ๋ถ€์ข…์„ ๊ฐ์†Œ์‹œํ‚ค๋Š” ํšจ๋Šฅ์— ๋Œ€ํ•ด์„œ ํ™•์ธยทํ‰๊ฐ€ํ•˜๊ณ ์ž ์‹คํ—˜ํ•œ ๊ฒฐ๊ณผ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๊ฒฐ๋ก ์„ ์–ป์—ˆ๋‹ค. 1. ์ˆ ํ›„ 24์‹œ๊ฐ„์—์„œ, ์Šคํ…Œ๋กœ์ด๋“œ๋ฅผ ํˆฌ์—ฌํ–ˆ์„ ๋•Œ์˜ ์กฐ์ง ์ˆ˜๋ถ„ํ•จ๋Ÿ‰์€ ํˆฌ์—ฌ์น˜ ์•Š์•˜์„ ๋•Œ์— ๋น„ํ•ด 0.3ใŽŽ/ใŽ ํˆฌ์—ฌ์‹œ 3.1%, 1.0ใŽŽ/ใŽ ํˆฌ์—ฌ์‹œ 4.0%๊ฐ€ ๊ฐ์†Œํ•˜์—ฌ ์†Œ์—ผ ํšจ๊ณผ๊ฐ€ ์žˆ์Œ์„ ๋ณด์˜€๋‹ค. 2. ์ˆ ํ›„ 48์‹œ๊ฐ„์—์„œ, ์Šคํ…Œ๋กœ์ด๋“œ๋ฅผ ํˆฌ์—ฌํ–ˆ์„ ๋•Œ์˜ ์กฐ์ง ์ˆ˜๋ถ„ํ•จ๋Ÿ‰์€ ํˆฌ์—ฌ์น˜ ์•Š์•˜์„ ๋•Œ์— ๋น„ํ•ด 0.3ใŽŽ/ใŽ ํˆฌ์—ฌ์‹œ 0.7%, 1.0 ใŽŽ/ใŽ ํˆฌ์—ฌ์‹œ 1.7%๊ฐ€ ๊ฐ๊ฐ ๊ฐ์†Œํ•˜์˜€์œผ๋‚˜ ๋ชจ๋‘ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋ณด์ด์ง€ ์•Š์•˜๋‹ค.(P>0.05) 3. ๋ณ‘๋ฆฌ์กฐ์งํ•™์  ์†Œ๊ฒฌ์—์„œ๋„ ์Šคํ…Œ๋กœ์ด๋“œ๋ฅผ ํˆฌ์—ฌํ•œ ์‹คํ—˜๊ตฐ์€ ํˆฌ์—ฌ์น˜ ์•Š์€ ์‹คํ—˜๊ตฐ์— ๋น„ํ•ด ์—ผ์ฆ์„ธํฌ ์นจ์œค, ๊ทผ์œก ์†์ƒ, ํ˜ˆ๊ด€์˜ ํŒฝ์ฐฝ ์ •๋„๊ฐ€ ๊ฐ๊ฐ ๊ฐ์†Œํ•˜์—ฌ ์†Œ์—ผ ํšจ๊ณผ๊ฐ€ ์žˆ์Œ์„ ๋ณด์˜€๋‹ค. [์˜๋ฌธ] Varying degrees of edema follows after many oral surgical procedures, although numerous methods for minimizing edema habe been advocated. No technique has gained complete acceptance. A major problem has been the inability to document the efficacy of suggested treatments convincingly. This study was undertaken to quantitate edema by measuring differences in percentage of water content between operated and unoperated tissues and to evaluate the effect of steroid to reduce the edema. 35 rats, Sprague Dawley strain, weighing about 300gm, were used, divided into control group(5 rats) and 3 experimental groups consisting of ten animals respectively. Group โ…  received no steroids, Group โ…ก low-dose steroid (0.3 mg dexamethasone/kg) and Group โ…ข high-dose steroid(1.0 mg dexamethasone/kg) intramuscularly immediately prior to surgery. The obtained results from this study were as follows. 1. At 24 hours after surgery, percentages of water content were lowered in steroid-treated groups than nonsteroid-treated group; however, the higher dose of steroid was associated with a relatively greater reduction of postoperative edema than was the lower dose. 2. At 48 hours after surgery, percentages of water content were lowered slightly in steroid-treated groups than nonsteroid-treated group; however, the differences was not significant, statistically.(p>0.05) 3. In histopathological findings, less of inflammatory cell infiltration, muscle damage and vessel dilatation as antiinflammatory effects showed in steroid-treated groups in comparison with nonsteroid-treated group. Of the two steroid-treated groups, group treated with higher dose of steroid showed more prominent anti-inflammatory effects.restrictio

    ํ•œ๊ตญ์–ด ๋ถ€์‚ฌ '์ž˜'์˜ ์˜๋ฏธ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ตญ์–ด๊ตญ๋ฌธํ•™๊ณผ, 2014. 2. ์ „์˜์ฒ .๋ณธ๊ณ ๋Š” ์ผ์ฐจ์ ์œผ๋กœ ํ•œ๊ตญ์–ด ๋ถ€์‚ฌ โ€˜์ž˜โ€™์˜ ์˜๋ฏธ๋ฅผ ๋ฐํžˆ๊ณ  ๋”๋ถˆ์–ด ๋ถ€์‚ฌ โ€˜์ž˜โ€™์ด ๊ฐ€์ง€๊ณ  ์žˆ๋Š” ์ค‘์˜์„ฑ์ด ๋ฌด์—‡์œผ๋กœ๋ถ€ํ„ฐ ๊ธฐ์ธํ•˜๋Š”๊ฐ€์— ๋Œ€ํ•ด ๋…ผ์˜ํ•œ๋‹ค. ํ•œ๊ตญ์–ด ๋ถ€์‚ฌ โ€˜์ž˜โ€™์€ ๊ทธ ์˜๋ฏธ์™€ ๊ธฐ๋Šฅ์„ ๊ธฐ์ค€์œผ๋กœ ๋ณผ ๋•Œ, ๋ฐฉ์‹๋ถ€์‚ฌ, ๋นˆ๋„๋ถ€์‚ฌ, ํ‰๊ฐ€๋ถ€์‚ฌ๋ผ๋Š” ์„ธ ๊ฐ€์ง€ ์ง€์œ„๋ฅผ ๊ฐ–๋Š”๋‹ค. โ€˜์ž˜โ€™์ด ๋ฌธ์žฅ ๋‚ด์—์„œ ์–ด๋–ค ๋ฒ”์ฃผ๋ฅผ ๊ทธ ์ž‘์šฉ์—ญ์œผ๋กœ ๊ฐ€์ง€๊ณ  ์žˆ๋Š”๊ฐ€์— ๋”ฐ๋ผ ๊ทธ ์˜๋ฏธ์™€ ๊ธฐ๋Šฅ์ด ๋‹ฌ๋ผ์ง€๋Š” ๊ฒƒ์ด๋‹ค. ์ด๋Ÿฌํ•œ ๋…ผ์˜๋ฅผ ์œ„ํ•ด์„œ๋Š” ํ•„์ˆ˜์ ์œผ๋กœ ๋ฌธ์žฅ์˜ ์˜๋ฏธ๊ณ„์ธต๊ตฌ์กฐ๋ฅผ ์„ค์ •ํ•ด์•ผ๋งŒ ํ–ˆ๋Š”๋ฐ ๋ณธ๊ณ ์—์„œ๋Š” โ€˜ํ™”ํ–‰ > ์‚ฌ์‹ค > ๋ช…์ œ > ์ „์ฒด ์‚ฌ๊ฑด > ํ•˜์œ„ ์‚ฌ๊ฑดโ€™์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ด์— ๋”ฐ๋ผ ๋ฐฉ์‹๋ถ€์‚ฌ โ€˜์ž˜โ€™์€ ํ•˜์œ„ ์‚ฌ๊ฑด ๋ฒ”์ฃผ๋ฅผ ์ž‘์šฉ์—ญ์œผ๋กœ, ๋นˆ๋„๋ถ€์‚ฌ๋Š” ์ „์ฒด ์‚ฌ๊ฑด์„ ์ž‘์šฉ์—ญ์œผ๋กœ, ํ‰๊ฐ€๋ถ€์‚ฌ๋Š” ์‚ฌ์‹ค ๋ฒ”์ฃผ๋ฅผ ์ž‘์šฉ์—ญ์œผ๋กœ ์‚ผ์•„ ๊ทธ ์˜๋ฏธ์™€ ๊ธฐ๋Šฅ์ด ๋‹ฌ๋ผ์ง„๋‹ค. 3์žฅ์—์„œ๋Š” ํ•˜์œ„ ์‚ฌ๊ฑด ๋ฒ”์ฃผ๋ฅผ ์ž‘์šฉ์—ญ์œผ๋กœ ์‚ผ๋Š” ๋ฐฉ์‹๋ถ€์‚ฌ๋กœ์„œ์˜ โ€˜์ž˜โ€™์— ๋Œ€ํ•ด ์„œ์ˆ ํ•˜์˜€๋‹ค. ๋ฐฉ์‹๋ถ€์‚ฌ โ€˜์ž˜โ€™์€ ์‚ฌ๊ฑด์˜ ๊ณผ์ •์— ์ค‘์ ์ด ์žˆ๋Š” ๋™์ž‘ ์‚ฌ๊ฑด๊ณผ ๊ณต๊ธฐํ•œ๋‹ค. ๊ทธ๋Ÿฐ๋ฐ ์„œ์ˆ ์–ด๊ฐ€ ๊ณผ๊ฑฐ ์‹œ์ œ โ€˜-์—ˆ-โ€™๊ณผ ํ•จ๊ป˜ ๋‚˜ํƒ€๋‚˜๋Š” ๊ฒฝ์šฐ ๋ฐฉ์‹๋ถ€์‚ฌ โ€˜์ž˜โ€™์€ ๊ฒฐ๊ณผ์ˆ ์–ด๋กœ ๊ธฐ๋Šฅํ•˜๋Š”๋ฐ ์ด ๊ฒฝ์šฐ์—๋Š” ํ•˜์œ„ ์‚ฌ๊ฑด ์ค‘์—์„œ๋„ ๊ฒฐ๊ณผ ์ƒํƒœ์— โ€˜์ž˜โ€™์ด ์ž‘์šฉํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ณผ ์ˆ˜ ์žˆ๋‹ค. ๋ฐฉ์‹๋ถ€์‚ฌ โ€˜์ž˜โ€™์€ ์–ดํœ˜ํŠน์„ฑ๋ฌธ์„ ํ˜•์„ฑํ•˜์—ฌ โ€˜์ž˜โ€™์ด ์ˆ˜์‹ํ•˜๋Š” ์‚ฌ๊ฑด์— ๋Œ€ํ•œ ํ–‰์œ„์ฃผ์˜ ์ˆ˜ํ–‰ ๋Šฅ๋ ฅ์„ ๋‚˜ํƒ€๋‚ด๊ณ  ์„ญ์‹์— ๊ด€ํ•œ ๊ฒƒ์ผ ๋•Œ์—๋Š” ๋Œ€์ƒ์— ๋Œ€ํ•œ ํ–‰์œ„์ฃผ์˜ ์„ ํ˜ธ๋‚˜ ์ทจํ–ฅ์„ ํ‘œํ˜„ํ•œ๋‹ค. ์ด๋Ÿฐ ์ด์œ ๋กœ ๋ฐฉ์‹๋ถ€์‚ฌ โ€˜์ž˜โ€™์ด ์“ฐ์ธ ๊ด€์šฉ ํ‘œํ˜„์„ ๋งŽ์ด ๋ฐœ๊ฒฌํ•  ์ˆ˜ ์žˆ๋‹ค. 4์žฅ์—์„œ๋Š” ์ „์ฒด ์‚ฌ๊ฑด ๋ฒ”์ฃผ๋ฅผ ์ž‘์šฉ์—ญ์œผ๋กœ ์‚ผ๋Š” ๋นˆ๋„๋ถ€์‚ฌ โ€˜์ž˜โ€™์— ๋Œ€ํ•ด ์„œ์ˆ ํ•˜์˜€๋‹ค. ๋นˆ๋„๋ถ€์‚ฌ โ€˜์ž˜โ€™์€ ์ „์ฒด ์‚ฌ๊ฑด์— ์ž‘์šฉํ•˜๊ธฐ ๋•Œ๋ฌธ์— ์‚ฌ๊ฑด์˜ ์œค๊ณฝ์ด ๋ช…ํ™•ํ•œ ๊ฒฝ๊ณ„๊ฐ€ ์žˆ๋Š” ์‚ฌ๊ฑด๊ณผ ๊ณต๊ธฐํ•  ์ˆ˜ ์žˆ๋‹ค. ๋นˆ๋„๋ถ€์‚ฌ โ€˜์ž˜โ€™์€ ๊ฒฝ๊ณ„์„ฑ๋งŒ ํ™•๋ณด๊ฐ€ ๋œ๋‹ค๋ฉด ์ƒํƒœ์„ฑ ์ˆ ์–ด์™€๋„ ๊ฒฐํ•ฉํ•  ์ˆ˜ ์žˆ๋Š”๋ฐ, ๊ฐ€๋ น ๊ฐœ์ฒด์˜ ์ผ์‹œ์  ์†์„ฑ์„ ๋‚˜ํƒ€๋‚ด์–ด ์‹œ๊ฐ„์  ๊ฒฝ๊ณ„๊ฐ€ ์žˆ๋Š” ์žฅ๋ฉด์ธต์œ„ ์ˆ ์–ด(์•„ํ”„๋‹ค, ์ฒดํ•˜๋‹ค ๋“ฑ)์™€๋Š” ๊ฐ€๋Šฅํ•˜์ง€๋งŒ, ๊ฒฝ๊ณ„๊ฐ€ ์—†๋Š” ๊ฐœ์ฒด์ธต์œ„ ์ˆ ์–ด์™€๋Š” ๋ถˆ๊ฐ€๋Šฅํ•œ ๊ฒƒ์ด๋‹ค. ํ•œํŽธ, ๋นˆ๋„๋ถ€์‚ฌ โ€˜์ž˜โ€™์€ ์ƒ๋ถ€์‚ฌ๋กœ ๋ฐ˜๋ณต์ƒ์„ ๋‚˜ํƒ€๋‚ผ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์Šต๊ด€์ƒ ์—ญ์‹œ ๋‚˜ํƒ€๋‚ผ ์ˆ˜ ์žˆ์–ด ์ด์นญ๋ฌธ์˜ ์ผ์ข…์ธ ์Šต๊ด€๋ฌธ์„ ํ˜•์„ฑํ•œ๋‹ค. 5์žฅ์—์„œ๋Š” ์‚ฌ์‹ค ๋ฒ”์ฃผ๋ฅผ ์ž‘์šฉ์—ญ์œผ๋กœ ์‚ผ๋Š” ํ‰๊ฐ€๋ถ€์‚ฌ โ€˜์ž˜โ€™์— ๋Œ€ํ•ด ์„œ์ˆ ํ•˜์˜€๋‹ค. ํ‰๊ฐ€๋ถ€์‚ฌ โ€˜์ž˜โ€™์€ ์‚ฌ์‹ค ๋ฒ”์ฃผ๋ฅผ ์ž‘์šฉ์—ญ์œผ๋กœ ํ•˜๊ธฐ ๋•Œ๋ฌธ์— ์‚ฌ๊ฑด์˜ ์ƒ์  ํŠน์„ฑ๊ณผ ๋ฌด๊ด€ํ•˜๊ฒŒ ๊ฒฐํ•ฉํ•œ๋‹ค. ์‹ฌ์ง€์–ด ๊ฐœ์ฒด์˜ ํ•ญ๊ตฌ์  ์†์„ฑ์„ ๋‚˜ํƒ€๋‚ด๋Š” ๊ฐœ์ฒด์ธต์œ„ ์ˆ ์–ด(ํ‚ค๊ฐ€ ํฌ๋‹ค, ์–ผ๊ตด์ด ํ•˜์–—๋‹ค)์™€๋„ ๋ฌธ๋งฅ์ด ์ฃผ์–ด์ง€๋ฉด ๊ฒฐํ•ฉํ•  ์ˆ˜ ์žˆ๋‹ค. ๋˜ํ•œ ํ‰๊ฐ€๋ถ€์‚ฌ โ€˜์ž˜โ€™์€ ์‚ฌ์‹ค ๋ฒ”์ฃผ๋ฅผ ์ž‘์šฉ์—ญ์œผ๋กœ ํ•˜๊ธฐ ๋•Œ๋ฌธ์— ์„œ์ƒ๋ฒ•์˜ ์˜์—ญ์ธ ๊ธฐ์›์ด๋‚˜, ๋ช…๋ น, ๊ฐ€์ • ๋“ฑ๊ณผ ๊ฒฐํ•ฉํ•  ์ˆ˜ ์—†๋‹ค.<๋ชฉ ์ฐจ> 1. ์„œ๋ก  1 1.1. ์—ฐ๊ตฌ ๋ชฉ์  ๋ฐ ๋Œ€์ƒ 1 1.2. ์„ ํ–‰ ์—ฐ๊ตฌ 3 1.3. ๋…ผ์˜์˜ ๊ตฌ์„ฑ 5 2. ๊ธฐ๋ณธ ๋…ผ์˜ 6 2.1. โ€˜์ž˜โ€™์˜ ์˜๋ฏธ์™€ ๋ฌธ๋ฒ•์  ์ง€์œ„ 6 2.1.1. โ€˜์ž˜โ€™์˜ ๋‹ค์˜์„ฑ๊ณผ ์‚ฌ์ „ ๊ธฐ์ˆ  6 2.1.2. ๋ถ€์‚ฌ ๋ถ„๋ฅ˜์˜ ์ค€๊ฑฐ๋กœ์„œ์˜ ๋ฌธ์žฅ์˜ ๊ณ„์ธต ๊ตฌ์กฐ 11 2.1.3. ๋ถ€์‚ฌ์˜ ์ž‘์šฉ์—ญ์— ๋”ฐ๋ฅธ ๋ถ„๋ฅ˜์™€ โ€˜์ž˜โ€™์˜ ์ง€์œ„ 15 2.2. ์‚ฌ๊ฑด๊ตฌ์กฐ์™€ ๋ถ€์‚ฌ์˜ ์ž‘์šฉ์—ญ 22 2.2.1. ์‚ฌ๊ฑด๊ตฌ์กฐ์— ๋Œ€ํ•œ ์ด๋ก ์  ๊ณ ์ฐฐ 22 2.2.2. ๋ถ€์‚ฌ์˜ ์ž‘์šฉ์—ญ์— ๋”ฐ๋ฅธ ์ค‘์˜์  ํ˜„์ƒ 25 2.2.3. โ€˜์ž˜โ€™์˜ ์ž‘์šฉ์—ญ์— ๋”ฐ๋ฅธ ํ•ด์„ ์–‘์ƒ 31 2.3. โ€˜์ž˜โ€™๊ณผ ๋ถ€์ •์†Œ์˜ ๊ณต๊ธฐ 32 2.3.1. โ€˜์ž˜โ€™๊ณผ ๋ถ€์ •์†Œ โ€˜์•ˆโ€™์˜ ๊ณต๊ธฐ 32 2.3.2. โ€˜์ž˜โ€™๊ณผ ๋ถ€์ •์†Œ โ€˜๋ชปโ€™์˜ ๊ณต๊ธฐ 34 2.4. ์š”์•ฝ 35 3. ๋ฐฉ์‹๋ถ€์‚ฌ โ€˜์ž˜โ€™์˜ ๋ฌธ๋ฒ• ๊ธฐ์ˆ  36 3.1. ๋ฐฉ์‹๋ถ€์‚ฌ โ€˜์ž˜โ€™์˜ ์˜๋ฏธ์™€ ๊ธฐ๋Šฅ 36 3.1.1. ์‚ฌ๊ฑด์˜ ์ƒ์  ์†์„ฑ์— ๋”ฐ๋ฅธ โ€˜์ž˜โ€™์˜ ํ•ด์„ ์–‘์ƒ 37 3.1.2. ์„ ํƒ ๊ฒฐ์† ์›๋ฆฌ์— ๋”ฐ๋ฅธ โ€˜์ž˜โ€™์˜ ๋‹ค์˜์„ฑ ์„ค๋ช… 40 3.1.3. โ€˜์ž˜โ€™๊ณผ ๋ˆ„์  ๋Œ€์ƒ์˜ ๊ด€๊ณ„๋กœ ์ธํ•œ ๊ฒฐํ•ฉ๊ฐ€ ๋ณ€ํ™” 47 3.1.4. โ€˜์ž˜โ€™์˜ ํ•ด์„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ธฐํƒ€ ์š”์†Œ๋“ค 52 3.2. ๋ฐฉ์‹๋ถ€์‚ฌ โ€˜์ž˜โ€™์ด ํ˜•์„ฑํ•˜๋Š” ์–ดํœ˜ํŠน์„ฑ๋ฌธ 61 3.2.1. โ€˜์ž˜โ€™์ด ํ˜•์„ฑํ•˜๋Š” ์–ดํœ˜ํŠน์„ฑ๋ฌธ 62 3.2.2. โ€˜์ž˜โ€™๊ณผ ๊ณต๊ธฐํ•˜๋Š” ํ”ผ๋™์˜ ํ•ด์„ 67 3.2.3. โ€˜์ž˜โ€™์ด ํ˜•์„ฑํ•˜๋Š” ๊ด€์šฉ ํ‘œํ˜„ 74 3.3. ์š”์•ฝ 76 4. ๋นˆ๋„๋ถ€์‚ฌ โ€˜์ž˜โ€™์˜ ๋ฌธ๋ฒ• ๊ธฐ์ˆ  78 4.1. ๋นˆ๋„๋ถ€์‚ฌ โ€˜์ž˜โ€™์˜ ์˜๋ฏธ์™€ ๊ธฐ๋Šฅ 78 4.1.1. ์‚ฌ๊ฑด์˜ ๊ฐ€์‚ฐ์„ฑ๊ณผ ์–‘ํ™” ํ˜„์ƒ 78 4.1.2. ์‚ฌ๊ฑด์˜ ์ƒ์  ์†์„ฑ์— ๋”ฐ๋ฅธ โ€˜์ž˜โ€™์˜ ํ•ด์„ ์–‘์ƒ 84 4.2. ๋นˆ๋„๋ถ€์‚ฌ โ€˜์ž˜โ€™์ด ํ˜•์„ฑํ•˜๋Š” ์Šต๊ด€๋ฌธ 89 4.3. ์š”์•ฝ 93 5. ํ‰๊ฐ€๋ถ€์‚ฌ โ€˜์ž˜โ€™์˜ ๋ฌธ๋ฒ• ๊ธฐ์ˆ  95 5.1. ํ‰๊ฐ€๋ถ€์‚ฌ์™€ ํ‰๊ฐ€๋ถ€์‚ฌ โ€˜์ž˜โ€™์˜ ์˜๋ฏธ 95 5.1.1. ํ‰๊ฐ€๋ถ€์‚ฌ์˜ ๋ฒ”์ฃผ ํ™•์ •๊ณผ ๊ทธ ํŠน์„ฑ 95 5.1.2. ํ‰๊ฐ€๋ถ€์‚ฌ โ€˜์ž˜โ€™์˜ ์˜๋ฏธ์™€ ํ•ด์„ ์–‘์ƒ 99 5.2. ํ‰๊ฐ€๋ถ€์‚ฌ โ€˜์ž˜โ€™์˜ ํ†ต์‚ฌ์  ์–‘์ƒ 103 5.3. ํ‰๊ฐ€๋ถ€์‚ฌ โ€˜์ž˜โ€™๊ณผ ์ „์ œ 106 5.4. ์š”์•ฝ 109 6. ๊ฒฐ๋ก  110 ์ฐธ๊ณ ๋ฌธํ—Œ 113 <ABSTRACT> 119Maste

    ์ „๊ตญ ์‚ฌํšŒ์ ๊ฒฝ์ œ ํ™œ๋™๊ฐ€ ์›Œํฌ์ˆ (๊น€์ œ์„ ,๊น€์˜์‹,๊น€ํƒœ์ธ,์ด์ฒœ์‹,์ „์ถฉํ›ˆ,์ดํ˜„๋ฏผ,ํ•˜์žฌ์ฐฌ,๋ฐ•์ƒ์šฐ)

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    ์‚ฌํšŒ์ ๊ฒฝ์ œ์˜ ํ˜„ํ™ฉ ยท์‚ฌํšŒ์ ๊ฒฝ์ œ ๋„คํŠธ์›Œํฌ ๋‹ค์–‘ํ™”(์œ ํ˜•๋ณ„ ํ˜‘์˜ํšŒ, ์‚ฌํšŒ์ ๊ฒฝ์ œ๋„คํŠธ์›Œํฌ, ํ˜‘๋™์กฐํ•ฉํ˜‘ ๋“ฑ) ยท์‚ฌํšŒ์ ๊ฒฝ์ œ์ง€์›๊ธฐ๊ด€(๊ด€๊ธ‰ ์žํ™œ์„ผํ„ฐ, ์‚ฌํšŒ์ ๊ธฐ์—…, ๋งˆ์„๊ธฐ์—…, ํ˜‘๋™์กฐํ•ฉ ์ง€์›์„ผํ„ฐ ๋“ฑ, ๋ฏผ๊ฐ„์ง€์›๊ธฐ๊ด€ ์„ค๋ฆฝ) ยท์‚ฌํšŒ์ ๊ฒฝ์ œ ๊ด€๋ จ์ œ๋„ํ™”(๊ตญ๊ธฐ๋ฒ•, ์‚ฌํšŒ์ ๊ธฐ์—…์œก์„ฑ๋ฒ•, ํ˜‘๋™์กฐํ•ฉ๊ธฐ๋ณธ๋ฒ•/์‚ฌํšŒ์ ๊ฒฝ์ œ ๊ธฐ์—…์ œํ’ˆ ๊ตฌ๋งค์ด‰์ง„ ๋ฐ ํŒ๋กœ์ง€์› ํŠน๋ณ„๋ฒ•์•ˆ, ๋งˆ์„๊ณต๋™์ฒดํ™œ์„ฑํ™”๋ฒ•์•ˆ) ยท์‚ฌํšŒ์ ๊ฒฝ์ œ ๊ด€๋ จ ์กฐ๋ก€(์‚ฌํšŒ์ ๊ฒฝ์ œ 10๊ฑด, ์‚ฌํšŒ์ ๊ธฐ์—…204๊ฑด, ๋งˆ์„๊ธฐ์—… 1๊ฑด, ์žํ™œ๊ธฐ์—…113๊ฑด, ํ˜‘๋™์กฐํ•ฉ53๊ฑด) - ์ดํ›„ ์ƒ๋žต์ฃผ์ œ๋ฐœ์ œ [์ œ1์ฃผ์ œ]์‚ฌํšŒ์ ๊ฒฝ์ œ ์šด๋™์˜ ๊ณผ์ œ์™€ ์ „๋ง (๊น€์ œ์„  ๋Œ€์ „ ํ’€๋ฟŒ๋ฆฌ์‚ฌ๋žŒ๋“ค ์ƒ์ž„์ด์‚ฌ) ์‚ฌ๋ก€๋ฐœ์ œ ๏ฟญ[์ œ1๋ฐœ์ œ]์„œ์šธ์‹œ ์‚ฌํšŒ์ ๊ฒฝ์ œ ๊ฑฐ๋ฒ„๋„Œ์Šค ํ˜„ํ™ฉ๊ณผ ๊ณผ์ œ (๊น€์˜์‹ ์„œ์šธ์‚ฌํšŒ์ ๊ฒฝ์ œ๋„คํŠธ์›Œํฌ ์‚ฌ๋ฌด๊ตญ์žฅ) ๏ฟญ[์ œ2๋ฐœ์ œ]๊ด‘๋ช…์‹œ ์‚ฌํšŒ์ ๊ฒฝ์ œ ์ƒํƒœ๊ณ„ ํ™œ์„ฑํ™” ๋ฐฉ์•ˆ (๊น€ํƒœ์ธ ๊ด‘๋ช…์‹œ ์ผ์ž๋ฆฌ์ฐฝ์ถœ๊ณผ ์ฃผ๋ฌด๊ด€) ๏ฟญ[์ œ3๋ฐœ์ œ]์‚ฌํšŒ์ ๊ฒฝ์ œ ํ™œ์„ฑํ™” ์‚ฌ๋ก€ -๊ฐ•์›๋„์‚ฌํšŒ์ ๊ธฐ์—…ํ˜‘์˜ํšŒ- (์ด์ฒœ์‹ ๊ฐ•์›๋„์‚ฌํšŒ์ ๊ธฐ์—…ํ˜‘์˜ํšŒ ๋Œ€ํ‘œ) ๏ฟญ[์ œ4๋ฐœ์ œ]2013 ๋Œ€๊ตฌ๊ฒฝ๋ถ ์‚ฌํšŒ์ ๊ฒฝ์ œ ํ™œ๋™ ๋ณด๊ณ ์„œ (์ „์ถฉํ›ˆ ๋Œ€๊ตฌ์‚ฌํšŒ์—ฐ๊ตฌ์†Œ ํ˜‘๋™๊ฒฝ์ œ์‚ฌ์—…๋‹จ ์ „๋žต์‚ฌ์—…๊ตญ์žฅ) ๏ฟญ[์ œ5๋ฐœ์ œ]๋”๋ถˆ์–ดํ•จ๊ป˜ ์ „๋ถ์ง€์—ญ๊ฐœ๋ฐœํ˜‘๋™์กฐํ•ฉ์˜ ์‚ฌ๋ก€ (์ดํ˜„๋ฏผ ๋”๋ถˆ์–ดํ•จ๊ป˜ ์ „๋ถ์ง€์—ญ๊ฐœ๋ฐœํ˜‘๋™์กฐํ•ฉ ์ด์‚ฌ์žฅ) ๏ฟญ[์ œ6๋ฐœ์ œ]13๋…„ ์ถฉ๋ถ์‚ฌํšŒ์ ๊ธฐ์—…ํ†ตํ•ฉ์ง€์›์„ผํ„ฐ (ํ•˜์žฌ์ฐฌ (์‚ฌ)์ถฉ๋ถ์‚ฌํšŒ์ ๊ฒฝ์ œ์„ผํ„ฐ ์ง€์›๊ตญ์žฅ) ๏ฟญ[์ œ7๋ฐœ์ œ]์ถฉ๋‚จ ์‚ฌํšŒ์ ๊ฒฝ์ œ์˜ ํ˜„ํ™ฉ๊ณผ ํŠน์ง• (๋ฐ•์ƒ์šฐ ์ถฉ๋‚จ์‚ฌํšŒ๊ฒฝ์ œ๋„คํŠธ์›Œํฌ ์‚ฌ๋ฌด์ฒ˜์žฅ
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