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    ์†Œ๋น„์ž์˜ ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•œ ์ด์ค‘์„ฑ๊ณผ ์˜ํ–ฅ์š”์ธ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ƒํ™œ๊ณผํ•™๋Œ€ํ•™ ์†Œ๋น„์žํ•™๊ณผ, 2020. 8. ๊น€๋‚œ๋„.์ตœ๊ทผ ๋“ค์–ด ๋‚ด๋กœ๋‚จ๋ถˆ, ์ฆ‰ ๋‚ด๊ฐ€ ํ•˜๋ฉด ๋กœ๋งจ์Šค ๋‚จ์ด ํ•˜๋ฉด ๋ถˆ๋ฅœ์ด๋ผ๋Š” ๋œป์˜ ์‹ ์กฐ์–ด๊ฐ€ ์ •์น˜๊ถŒ์„ ๋„ˆ๋จธ ์ผ์ƒ์ƒํ™œ์—์„œ๋„ ๋„๋ฆฌ ์“ฐ๋Š” ๋ง๋กœ ์ž๋ฆฌ์žก๊ณ  ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, ์ด๋Ÿฌํ•œ ์ธ๊ฐ„์˜ ์ด์ค‘์„ฑ์— ๋Œ€ํ•ด ์‚ฌ๋žŒ๋“ค์ด ์ฃผ๋ชฉํ•˜๊ฒŒ ๋œ ๊ฒƒ์€ ๋น„๋‹จ ์–ด์ œ, ์˜ค๋Š˜์˜ ์ผ๋งŒ์€ ์•„๋‹ˆ๋‹ค. ์ž์‹ ์—๊ฒŒ๋งŒ ๋„ˆ๊ทธ๋Ÿฝ๊ณ  ํƒ€์ธ์—๊ฒŒ๋Š” ์—„ํ•œ ์ธ๊ฐ„์˜ ์ด์ค‘์ ์ธ ์„ฑํ–ฅ์— ๋Œ€ํ•ด ์ง€์ ํ•œ ๊ณ ์‚ฌ์„ฑ์–ด๋Š” ํ›„๋Œ€์˜ ํ•™์ž๋“ค์— ์˜ํ•ด ์—ฌ๋Ÿฌ ์ฐจ๋ก€ ์ธ์šฉ๋œ ๋ฐ” ์žˆ์œผ๋ฉฐ, ์‹ฌ๋ฆฌํ•™์—์„œ๋„ ์ด๋ฅผ ์ž๊ธฐ๊ณ ์–‘ ํŽธํ–ฅ์ด๋ผ๋Š” ๊ฐœ๋…์œผ๋กœ ์ •์˜ํ•˜์—ฌ ๋งŽ์€ ์—ฐ๊ตฌ๊ฐ€ ์ง„ํ–‰๋˜์–ด์™”๋‹ค. ๊ทธ ๊ฒฐ๊ณผ, ์ž๊ธฐ๊ณ ์–‘ ํŽธํ–ฅ์€ ๋งค์šฐ ๋ณดํŽธ์ ์ธ ์ธ๊ฐ„์˜ ํŠน์„ฑ ์ค‘์˜ ํ•˜๋‚˜๋กœ, ๋Œ€๋‹ค์ˆ˜์˜ ์‚ฌ๋žŒ๋“ค์€ ์ž์‹ ์„ ๊ธ์ •์ ์ธ ๋ฐฉํ–ฅ์œผ๋กœ ์ง€๊ฐํ•จ๊ณผ ๋™์‹œ์— ๊ธ์ •์ ์ธ ์ž์•„์ƒ์„ ์œ ์ง€ํ•˜๊ธฐ ์œ„ํ•ด ์ด ๊ฐ™์€ ํŽธํ–ฅ์„ ๊ฐ–๋Š” ๊ฒƒ์œผ๋กœ ๋ฐํ˜€์กŒ๋‹ค. ํŠนํžˆ ์ด์ค‘์„ฑ์€ ์ž์‹ ๊ณผ ํƒ€์ธ์„ ๋น„๊ตํ•˜๋Š” ์ƒํ™ฉ์—์„œ ๋‘๋“œ๋Ÿฌ์ง€๊ฒŒ ๋‚˜ํƒ€๋‚˜๋ฉฐ, ์ด ์ƒํ™ฉ์—์„œ ๋Œ€๋ถ€๋ถ„์˜ ์‚ฌ๋žŒ๋“ค์€ ์žฅ์ ์— ํ•ด๋‹นํ•˜๋Š” ์†์„ฑ์€ ์ž์‹ ์ด ํƒ€์ธ๋ณด๋‹ค ๋” ๋งŽ์ด ๊ฐ–๊ณ  ์žˆ๋Š” ๋ฐ˜๋ฉด, ๋‹จ์ ์— ํ•ด๋‹นํ•˜๋Š” ์†์„ฑ์€ ํƒ€์ธ์ด ๋” ๋งŽ์ด ๊ฐ–๊ณ  ์žˆ๋‹ค๊ณ  ๋ฏฟ๋Š”๋‹ค. ๋”ฐ๋ผ์„œ, ์ž์‹ ๊ณผ ํƒ€์ธ์˜ ์†Œ๋น„์„ฑํ–ฅ์„ ํ‰๊ฐ€ํ•จ์— ์žˆ์–ด์„œ๋„ ์†Œ๋น„์ž๋“ค์˜ ์ด์ค‘์„ฑ์ด ๋“œ๋Ÿฌ๋‚  ๊ฒƒ์œผ๋กœ ์˜ˆ์ƒ๋˜๋ฉฐ, ๊ทธ์ค‘์—์„œ๋„ ๋ถ€์ •์ ์ธ ์†์„ฑ์„ ๊ฐ–๋Š” ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์„ฑํ–ฅ์„ ํ‰๊ฐ€ํ•  ๋•Œ ์ด์ค‘์„ฑ์ด ๋” ๊ทน๋ช…ํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚  ๊ฒƒ์œผ๋กœ ์˜ˆ์ƒ๋œ๋‹ค. ๋˜ํ•œ, ์ด๋กœ ์ธํ•ด ์†Œ๋น„์ž๋“ค์ด ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•ด ์–ผ๋งˆ๋‚˜ ๊ธ์ •์ ์œผ๋กœ ์ธ์‹ํ•˜๋Š”์ง€์— ๋”ฐ๋ผ, ์ด์ค‘์„ฑ์˜ ์ •๋„ ๋˜ํ•œ ๋‹ฌ๋ผ์งˆ ๊ฒƒ์ด๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์„ฑํ–ฅ์—์„œ์˜ ์ด์ค‘์„ฑ์€ ๋ฌผ๋ก , ์ด์ค‘์„ฑ์— ์–ด๋– ํ•œ ๋ณ€์ˆ˜๋“ค์ด ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”์ง€ ๋˜ ์ด์ค‘์„ฑ๊ณผ ์ธ์‹ ๊ฐ„์˜ ๊ด€๊ณ„๊ฐ€ ์–ด๋– ํ•œ์ง€์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ์•„์ง ์†Œ๋น„์žํ•™์—์„œ ์ค‘์ ์ ์œผ๋กœ ๋‹ค๋ค„์ง„ ๋ฐ”๊ฐ€ ์—†๋‹ค. ์ด์—, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ํƒ์ƒ‰์ ์œผ๋กœ ์†Œ๋น„์ž๋“ค์ด ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•ด ๊ฐ€์ง€๊ณ  ์žˆ๋Š” ์ธ์‹๊ณผ ์ด์ค‘์„ฑ์— ๋Œ€ํ•ด ๋ฐํžˆ๊ณ , ์ด์™€ ํ•จ๊ป˜ ๊ทธ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์š”์ธ์„ ๋ฐํžˆ๊ณ ์ž ํ–ˆ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ๋จผ์ €, ์†Œ๋น„์ž๋“ค์˜ ์ด์ค‘์„ฑ์— ์˜ํ–ฅ์„ ๋ฏธ์น  ๊ฒƒ์œผ๋กœ ์˜ˆ์ƒ๋˜๋Š” ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•œ ์†Œ๋น„์ž์˜ ์ธ์‹์„ ํŒŒ์•…ํ•˜๊ณ , ์†Œ๋น„์ž์˜ ํŠน์„ฑ์— ๋”ฐ๋ผ ์ธ์‹์— ์ฐจ์ด๊ฐ€ ๋‚˜๋Š”์ง€๋ฅผ ์‚ดํŽด๋ณด์•˜๋‹ค. ๋‘˜์งธ, ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•œ ์†Œ๋น„์ž๋“ค์˜ ์ด์ค‘์„ฑ์ด ๋‚˜ํƒ€๋‚˜๋Š”์ง€๋ฅผ ๊ทœ๋ช…ํ•œ ๋‹ค์Œ ์†Œ๋น„์ž์˜ ์ธ์‹์— ๋”ฐ๋ผ ์ด์ค‘์„ฑ์— ์ฐจ์ด๊ฐ€ ๋‚˜๋Š”์ง€๋ฅผ ์•Œ์•„๋ณด์•˜๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค ์ „๋ฐ˜์— ๋Œ€ํ•œ ์†Œ๋น„์ž๋“ค์˜ ์ด์ค‘์„ฑ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์š”์ธ์„ ๊ทœ๋ช…ํ•˜์˜€์œผ๋ฉฐ, ๋‚˜์•„๊ฐ€ ๊ณผ์‹œ์†Œ๋น„, ๋™์กฐ์†Œ๋น„, ์ถฉ๋™๊ตฌ๋งค ๊ฐ๊ฐ์— ๋Œ€ํ•œ ์†Œ๋น„์ž๋“ค์˜ ์ด์ค‘์„ฑ ์˜ํ–ฅ์š”์ธ์„ ๋ฐํžˆ๊ณ , ์ด๋“ค ๊ฐ„์— ๊ณตํ†ต์ ๊ณผ ์ฐจ์ด์ ์„ ์‚ดํŽด๋ณด์•˜๋‹ค. ์—ฐ๊ตฌ์— ์•ž์„œ, ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค๋Š” ์ˆ˜๋‹จ์  ๋˜๋Š” ๋ชฉ์ ์  ํ•ฉ๋ฆฌ์„ฑ์„ ๊ฐ–์ถ”์ง€ ๋ชปํ•œ ๊ตฌ๋งค๋กœ ์ •์˜ํ•˜์˜€์œผ๋ฉฐ, ํ•˜์œ„์œ ํ˜•์œผ๋กœ๋Š” ์„ ํ–‰์—ฐ๊ตฌ์—์„œ ์ค‘์ ์ ์œผ๋กœ ๋‹ค๋ฃจ๊ณ  ์žˆ๋Š” ๊ณผ์‹œ์†Œ๋น„, ๋™์กฐ์†Œ๋น„, ์ถฉ๋™๊ตฌ๋งค๋กœ ์„ ์ •ํ•˜์˜€๋‹ค. ๋˜ํ•œ, ์†Œ๋น„์ž๋“ค์˜ ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•œ ์ด์ค‘์„ฑ์€ ํƒ€์ธ์˜ ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์„ฑํ–ฅ์„ ํ‰๊ฐ€ํ•œ ์ ์ˆ˜์—์„œ ์ž์‹ ์˜ ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์„ฑํ–ฅ์ ์ˆ˜๋ฅผ ๋บ€ ์ฐจ์ด๊ฐ’์œผ๋กœ ์ธก์ •ํ•˜์˜€๋‹ค. ์ด์ค‘์„ฑ์€ ์ธ๊ฐ„์˜ ๋ณดํŽธ์  ํŠน์„ฑ์œผ๋กœ, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ํŠน์ •์ง‘๋‹จ์„ ์„ ์ •ํ•˜์ง€ ์•Š๊ณ , 20~50๋Œ€ ์„ฑ์ธ ๋‚จ๋…€ ์†Œ๋น„์ž 436๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ์˜จ๋ผ์ธ ์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์„ค๋ฌธ์กฐ์‚ฌ์—์„œ ์†Œ๋น„์ž๋Š” ์„ ํ–‰์—ฐ๊ตฌ์—์„œ ์ด์ค‘์„ฑ์˜ ์˜ํ–ฅ์š”์ธ์œผ๋กœ ๋ฐํ˜€์ง„ ๋ฌผ์งˆ์ฃผ์˜ํŠน์„ฑ, ์ž์•„์กด์ค‘๊ฐ, ๊ฐœ์ธ์ฃผ์˜ํŠน์„ฑ ๊ทธ๋ฆฌ๊ณ  ์†Œ๋น„์ƒํ™œ๋งŒ์กฑ๋„์— ๋Œ€ํ•ด ์‘๋‹ตํ•˜๊ณ , ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•œ ์ธ์‹์— ๋Œ€ํ•ด ์‘๋‹ตํ•œ ๋‹ค์Œ, ์ž์‹ ๊ณผ ํƒ€์ธ์˜ ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์„ฑํ–ฅ์„ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ๋Š” ์ธ๊ตฌํ†ต๊ณ„ํ•™์  ํŠน์„ฑ์— ๋Œ€ํ•ด ์‘๋‹ตํ•˜๊ฒŒ ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ๊ธฐ์กด์˜ ์—ฌ๋Ÿฌ ์‚ฌ์„ค์กฐ์‚ฌ์—์„œ ์†Œ๋น„์ž๋“ค์˜ ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•œ ์ง€๋‚˜์น˜๊ฒŒ ๊ธ์ •์ ์ธ ์ธ์‹์„ ๊ฒฝ๊ณ ํ•ด์™”๋˜ ๊ฒƒ๊ณผ๋Š” ๋‹ฌ๋ฆฌ, ์†Œ๋น„์ž๋“ค์€ ์ค‘๋ฆฝ์ ์ธ ์ธ์‹์„ ๊ฐ–๊ณ  ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์„ธ๋ถ€์†Œ๋น„๋ณ„ ์ธ์‹์—์„œ๋Š” ์ฐจ์ด๊ฐ€ ๋‚˜ํƒ€๋‚ฌ๋Š”๋ฐ, ์ƒ๋Œ€์ ์œผ๋กœ ์†Œ๋น„์ž๋“ค์€ ๊ณผ์‹œ์†Œ๋น„, ์ถฉ๋™๊ตฌ๋งค๋ฅผ ๋™์กฐ์†Œ๋น„์— ๋น„ํ•ด ๊ธ์ •์ ์œผ๋กœ ์ธ์‹ํ•˜๊ณ  ์žˆ์—ˆ๋‹ค. ์†Œ๋น„์ž์˜ ์ธ๊ตฌํ†ต๊ณ„ํ•™์  ํŠน์„ฑ์— ๋”ฐ๋ฅธ ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•œ ์ธ์‹์˜ ์ฐจ์ด๋ฅผ ์‚ดํŽด๋ณด๋ฉด, ๋‚จ์„ฑ๋ณด๋‹ค๋Š” ์—ฌ์„ฑ์ด ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•ด ๊ธ์ •์ ์ธ ์ธ์‹์„ ๊ฐ–๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๊ณ , ์„ธ๋ถ€์†Œ๋น„ ๋ณ„๋กœ๋Š” ์ถฉ๋™๊ตฌ๋งค์—์„œ๋งŒ ์œ„์™€ ๊ฐ™์€ ์„ฑ์ฐจ๊ฐ€ ํ™•์ธ๋˜์—ˆ๋‹ค. ๋˜ํ•œ, ์—ฐ๋ น์ด ๋‚ฎ์„์ˆ˜๋ก ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•ด ๊ธ์ •์ ์œผ๋กœ ์ธ์‹ํ•˜๋Š” ๊ฒฝํ–ฅ์ด ๋‚˜ํƒ€๋‚˜, 50๋Œ€๋ณด๋‹ค 20๋Œ€๊ฐ€ ์œ ์˜ํ•˜๊ฒŒ ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค ์— ๋Œ€ํ•ด ํ˜ธ์˜์ ์ธ ํƒœ๋„๋ฅผ ๊ฐ–๊ณ  ์žˆ์—ˆ๋‹ค. ์„ธ๋ถ€์œ ํ˜• ๋ณ„๋กœ๋Š” ๊ณผ์‹œ์†Œ๋น„์—์„œ 20๋Œ€๊ฐ€ 40~50๋Œ€์— ๋น„ํ•ด ์œ ์˜ํ•˜๊ฒŒ ๋†’์€ ๊ธ์ •์ ์ธ ์ธ์‹์„ ๊ฐ–๊ณ  ์žˆ๋Š” ๋ฐ˜๋ฉด, ์ถฉ๋™๊ตฌ๋งค์—์„œ๋Š” 30๋Œ€๊ฐ€ 50๋Œ€์— ๋น„ํ•ด ์œ ์˜ํ•˜๊ฒŒ ๋†’์€ ๊ธ์ •์ธ์‹์„ ๊ฐ–๋Š” ๊ฒƒ์œผ๋กœ ๋“œ๋Ÿฌ๋‚ฌ๋‹ค. ๊ฒฐํ˜ผ์—ฌ๋ถ€์—์„œ๋„ ๊ธฐํ˜ผํ•˜์ง€ ์•Š์€ ์ง‘๋‹จ์ด ๊ธฐํ˜ผ์ง‘๋‹จ์— ๋น„ํ•ด ๊ณผ์‹œ์†Œ๋น„์— ๋Œ€ํ•ด ์œ ์˜ํ•˜๊ฒŒ ๋†’์€ ๊ธ์ •์ ์ธ ์ธ์‹์„ ๋ณด์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ์›”ํ‰๊ท ์†Œ๋“์ด 180๋งŒ์› ๋ฏธ๋งŒ์ธ ์ง‘๋‹จ์ด 350๋งŒ์› ์ด์ƒ์ธ ์ง‘๋‹จ๋ณด๋‹ค ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•ด ๊ธ์ •์ ์ธ ์ธ์‹์„ ๊ฐ–๊ณ  ์žˆ์—ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋Š” ๋ง‰์—ฐํ•˜๊ฒŒ ์†Œ๋น„์ž๋“ค์˜ ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•œ ์ธ์‹์ด ์ค‘๋ฆฝ์ ์ด๋ผ๊ณ  ๋‹จ์ •์ง“๊ธฐ๋ณด๋‹ค๋Š”, ์†Œ๋น„์ž์ง‘๋‹จ์„ ์„ธ๋ถ„ํ™”ํ•˜์—ฌ ํŒŒ์•…ํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•จ์„ ์‹œ์‚ฌํ•œ๋‹ค. ๋‘˜์งธ, ์ธ๊ฐ„์˜ ๋ณดํŽธ์ ์ธ ํŠน์„ฑ์ธ ์ด์ค‘์„ฑ์ด ์ž์‹ ๊ณผ ํƒ€์ธ์˜ ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์„ฑํ–ฅ์„ ํ‰๊ฐ€ํ•  ๋•Œ๋„ ์กด์žฌํ•œ๋‹ค๋Š” ๊ฒƒ์„ ๊ทœ๋ช…ํ•˜์˜€๋‹ค. ํ•˜์œ„์œ ํ˜• ๋ณ„๋กœ๋Š” ๊ณผ์‹œ์†Œ๋น„, ์ถฉ๋™๊ตฌ๋งค, ๋™์กฐ์†Œ๋น„ ์ˆœ์œผ๋กœ ์ด์ค‘์„ฑ์ด ๊ฐ•ํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜ํ•œ, ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•ด ๊ธ์ •์ ์œผ๋กœ ์ธ์‹ํ•˜๋Š” ์ง‘๋‹จ๋ณด๋‹ค ๊ทธ๋ ‡์ง€ ์•Š์€ ์ง‘๋‹จ์—์„œ ๋” ๊ฐ•ํ•œ ์ด์ค‘์„ฑ์„ ๊ฐ–๊ณ  ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜, ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•œ ์ธ์‹๊ณผ ์ด์ค‘์„ฑ ๊ฐ„์˜ ๋ถ€์  ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ์ฒ˜์Œ์œผ๋กœ ๊ทœ๋ช…ํ•˜์˜€๋‹ค. ๋‹ค๋งŒ, ์„ธ๋ถ€์†Œ๋น„ ๋ณ„๋กœ๋Š” ์ฐจ์ด๊ฐ€ ๋‚˜ํƒ€๋‚˜ ๊ณผ์‹œ์†Œ๋น„, ์ถฉ๋™๊ตฌ๋งค์™€๋Š” ๋‹ฌ๋ฆฌ ๋™์กฐ์†Œ๋น„์—์„œ๋Š” ๊ธ์ •์ ์œผ๋กœ ์ธ์‹ํ•˜๋Š” ์ •๋„์— ๋”ฐ๋ฅธ ์ด์ค‘์„ฑ์˜ ์ฐจ์ด๊ฐ€ ์œ ์˜ํ•˜์ง€ ์•Š์•˜๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•œ ์ด์ค‘์„ฑ์˜ ์œ ์˜ํ•œ ์˜ํ–ฅ์š”์ธ์„ ์‚ดํŽด๋ณธ ๊ฒฐ๊ณผ, ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•œ ์ธ์‹, ์ „์—…์ฃผ๋ถ€/๋ฌด์ง, ์ž์•„์กด์ค‘๊ฐ, ๋†’์€ ์ฃผ๊ด€์  ๊ณ„์ธต์ธ์‹, ์ „๋ฌธ์ง, ์„œ๋น„์ŠคํŒ๋งค/์ž์˜์—… ์ˆœ์œผ๋กœ ์ƒ๋Œ€์  ์˜ํ–ฅ๋ ฅ์ด ๋†’์•˜๋‹ค. ์ด๋Š” ์„ ํ–‰์—ฐ๊ตฌ์—์„œ ๋“œ๋Ÿฌ๋‚œ ์ด์ค‘์„ฑ์˜ ์˜ํ–ฅ์š”์ธ๊ณผ๋Š” ์ƒ์ดํ•œ ๊ฒฐ๊ณผ๋กœ, ์†Œ๋น„์ž๋“ค์˜ ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•œ ์ด์ค‘์„ฑ์— ๋Œ€ํ•ด์„œ๋Š” ๊ธฐ์กด๊ณผ๋Š” ์ฐจ๋ณ„ํ™”๋œ ์ ‘๊ทผ์ด ํ•„์š”ํ•จ์„ ์‹œ์‚ฌํ•œ๋‹ค. ์˜ํ–ฅ์š”์ธ ์ค‘ ์ „์—…์ฃผ๋ถ€/๋ฌด์ง, ์ „๋ฌธ์ง, ์„œ๋น„์ŠคํŒ๋งค/์ž์˜์—… ์ง์—…์€ ๊ธฐ์ค€์ง‘๋‹จ์ธ ๊ธฐ์ˆ /์‚ฌ๋ฌด์ง์— ๋น„ํ•ด ์ด์ค‘์„ฑ์— ์ •์  ์˜ํ–ฅ๋ ฅ์„ ๊ฐ–๋Š” ๊ฒƒ์ด ๊ด€์ฐฐ๋˜์—ˆ๊ณ , ์‹ฌ๋ฆฌ์  ํŠน์„ฑ ์ค‘ ์ž์•„์กด์ค‘๊ฐ ๋˜ํ•œ ์ •์ ์š”์ธ์ด์—ˆ๋‹ค. ๋ฐ˜๋ฉด, ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•œ ๊ธ์ •์ธ์‹๊ณผ ๋‚ฎ์€ ์ฃผ๊ด€์  ๊ณ„์ธต์ธ์‹์— ๋Œ€๋น„๋˜๋Š” ๋†’์€ ์ฃผ๊ด€์  ๊ณ„์ธต์ธ์‹์€ ์ด์ค‘์„ฑ์— ๋Œ€ํ•ด ๋ถ€์  ์˜ํ–ฅ๋ ฅ์„ ๊ฐ–๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์„ธ๋ถ€์†Œ๋น„ ๋ณ„๋กœ ์ด์ค‘์„ฑ์˜ ์˜ํ–ฅ์š”์ธ์— ๋Œ€ํ•ด ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ๊ณตํ†ต์ ์ธ ์˜ํ–ฅ์š”์ธ์€ ๊ฐ๊ฐ์˜ ๊ตฌ๋งค์— ๋Œ€ํ•œ ์ธ์‹๊ณผ ์ž์•„์กด์ค‘๊ฐ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ๊ทธ ์™ธ ๊ฐ๊ฐ์˜ ์ด์ค‘์„ฑ์— ๋Œ€ํ•œ ์˜ํ–ฅ์š”์ธ์€ ๋ชจ๋‘ ์ธ๊ตฌํ†ต๊ณ„ํ•™์  ํŠน์„ฑ์ด์—ˆ๋‹ค. ๋”ฐ๋ผ์„œ, ์‹ฌ๋ฆฌ์  ์š”์ธ๋„ ์ค‘์š”ํ•˜์ง€๋งŒ, ์ง์—… ์„ฑ๋ณ„ ๋“ฑ์˜ ํ™˜๊ฒฝ์  ์กฐ๊ฑด์ด ๊ฐ๊ฐ์˜ ๊ตฌ๋งค์— ๋Œ€ํ•œ ์ด์ค‘์„ฑ์— ์ฃผ์š”ํ•œ ์˜ํ–ฅ์„ ๋ผ์น˜๊ณ  ์žˆ์Œ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ œ์‹œํ•˜๊ณ ์ž ํ•˜๋Š” ์ œ์–ธ์€ ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ๋ณธ ์—ฐ๊ตฌ๋Š” ํƒ์ƒ‰์  ์—ฐ๊ตฌ๋กœ์„œ ์†Œ๋น„์ž๋“ค์˜ ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค ์ „๋ฐ˜์— ๋Œ€ํ•œ ์ด์ค‘์„ฑ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋”ฐ๋ผ์„œ, ํ›„์† ์—ฐ๊ตฌ์—์„œ๋Š” ํŠน์ • ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค ํ•˜๋‚˜๋ฅผ ์„ ์ •ํ•ด ๊ทธ์— ๋Œ€ํ•œ ์ด์ค‘์„ฑ์„ ๋ฉด๋ฐ€ํ•˜๊ฒŒ ๋ฐํ˜€๋‚ด์–ด์•ผ ํ•œํ•˜๋Š” ์—ฐ๊ตฌ๊ฐ€ ์š”๊ตฌ๋œ๋‹ค. ๋˜ํ•œ, ๊ตฌ๋งค์„ฑํ–ฅ์„ ํ‰๊ฐ€ํ•˜๋Š”๋ฐ ๋“œ๋Ÿฌ๋‚˜๋Š” ์ด์ค‘์„ฑ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ, ์ž์‹ ๊ณผ ํƒ€์ธ์˜ ๊ตฌ๋งค ๊ท€์ธ๊ณผ์ •์„ ํ‰๊ฐ€ํ•จ์— ์žˆ์–ด์„œ๋„ ์ด์ค‘์„ฑ์ด ๋“œ๋Ÿฌ๋‚˜๋Š”์ง€์— ๋Œ€ํ•ด์„œ๋„ ์ถ”๊ฐ€์ ์ธ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ๋‘˜์งธ, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•œ ์ด์ค‘์„ฑ์„ ์ •๋Ÿ‰์กฐ์‚ฌ๋ฅผ ํ†ตํ•ด ์ธก์ •ํ•˜์˜€์œผ๋‚˜, ์†Œ๋น„์ž๋“ค์˜ ์ด์ค‘์„ฑ ๊ธฐ์ €์— ์–ด๋–ค ์š•๋ง์ด ๋‚ด์žฌ๋˜์–ด ์žˆ๋Š”์ง€๋ฅผ ์ž์„ธํ•˜๊ฒŒ ๊ทœ๋ช…ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์ •์„ฑ์ ์ธ ์—ฐ๊ตฌ๊ฐ€ ์ˆ˜ํ–‰๋˜์–ด์•ผํ•œ๋‹ค. ๋‚˜์•„๊ฐ€, ์ด๋Ÿฌํ•œ ์งˆ์  ์—ฐ๊ตฌ๋Š” ํ–ฅํ›„ ์†Œ๋น„์ž๋“ค์˜ ์ด์ค‘์„ฑ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์š”์ธ์„ ์ฐพ์•„๋‚ด๋Š” ๋ฐ๋„ ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ์†Œ๋น„์ž๋“ค์˜ ์ด์ค‘์„ฑ์— ๋Œ€ํ•œ ์†Œ๋น„์žํ•™๊ณ„์˜ ํ™œ๋ฐœํ•œ ์—ฐ๊ตฌ๊ฐ€ ์š”๊ตฌ๋œ๋‹ค. ์ด์ค‘์„ฑ์€ ์ธ๊ฐ„์˜ ๋ณดํŽธ์ ์ธ ํŠน์„ฑ์ด์ง€๋งŒ, ๋•Œ๋กœ๋Š” ๋งŽ์€ ๋ถ€์ ์‘์„ ์•ผ๊ธฐํ•  ์ˆ˜ ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ํŠน์„ฑ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ์ด์ค‘์„ฑ์€ ์—ฌ์ „ํžˆ ์†Œ๋น„์žํ•™์  ๊ด€์ ์—์„œ๋Š” ์ž˜ ๋‹ค๋ค„์ง€์ง€ ์•Š์€ ์ฃผ์ œ์˜€๋‹ค. ๋”ฐ๋ผ์„œ, ์†Œ๋น„์ž๋“ค์ด ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•œ ์ด์ค‘์„ฑ์„ ๊ทœ๋ช…ํ•œ ๋ณธ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ํ† ๋Œ€๋กœ, ํ–ฅํ›„ ์†Œ๋น„์žํ•™์  ๊ด€์ ์—์„œ์˜ ์ด์ค‘์„ฑ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๊ฐ€ ํ™œ์„ฑํ™”๋˜์–ด์•ผ ํ•  ๊ฒƒ์ด๋‹ค.In recent years, the newly coined term "Naeronambul," meaning that"if I love someone, it is a romance but if others do, it is an affair," has become widely used in everyday life. However, this duality of human beings has long been discussed. The idiom pointed out about human duality has been quoted several times by later scholars, and many studies have been conducted on it, with the concept of self-serving bias in psychology. This duality is one of the most common human traits, and it turns out that the majority of people perceive themselves in a positive direction, while at the same time having this bias to maintain a positive self-image. In particular, bias is evident in situations in which one compares oneself to another, in which most people believe that they have more attributes of merit than another, while other people have more attributes of weakness. Therefore, it is expected that consumers' duality will also be evident in assessing themselves and others' propensity to consume, especially when assessing irrational buying tendencies with negative attributes. Also, the degree of duplicity is likely to vary depending on how positive consumers are about unreasonable purchases. However, studies of what variables affect duality, as well as the relationship between duality and recognition, have not yet been focused on consumer science. Thus, in this study, we wanted to measure the perception and duplicity that consumers have about irrational buying and, in addition, the factors on them. To this end, we first identified consumer perceptions of unreasonable purchases, which are expected to affect consumers' duality, and whether they differ depending on their characteristics. Second, we have identified whether consumers' duality in irrational buying appears, and whether there are differences in duality depending on consumer perception. Finally, we identified the factors that affect the duality of consumers for the overall irrational purchase, and further identified the duality factors of consumers for each of conspicuous consumption, consumption conformity, and impulsive buying, and figured out the similarities and differences between them. Prior to the study, irrational buying were defined as purchases that were not met by instrumental or purposive rationality, and subtypes were selected as conspicuous consumption, consumption conformity, and impulsive buying, which were focused on prior research. In addition, the duality of consumers' unreasonable purchases was measured as the difference between the scores assessed for others' unreasonable purchasing propensity minus their own unreasonable purchasing propensity score. In this study, we conducted an online survey of 436 adult male and female consumers in their 20s and 50s. In the survey, consumers responded to materialistic characteristics, self-esteem, individualism characteristics that were found to be factors affecting duality, responded to consumer satisfaction, perceptions of unreasonable purchases, and then assessed themselves and others' irrational purchasing tendencies. Finally, they were asked to respond to demographic characteristics such as sex and level of education. The results of this study are as follows. First, unlike previous private surveys that have warned consumers of overly positive perceptions of unreasonable purchases, consumers have a neutral perception. There were differences in perceptions by detailed consumption, and relatively, consumers were more positive about conspicuous consumption and impulsive buying than consumption conformity. Analysis of differences in consumer perception about unreasonable purchases based on demographic characteristics showed that women rather than men had a positive perception of unreasonable purchases, and the above gender differences were identified only in impulsive buying. In addition, the lower the age, the more positive the perception of unreasonable purchases was, and the more people in their 20s were significantly more favorable to unreasonable purchases than those in their 50s. By detailed type, people in their 20s have a significantly higher positive perception than those in their 40s and 50s in conspicuous consumption, while those in their 30s have a significantly higher positive perception than those in their 50s in impulsive buying. Even in marriage, unmarried groups showed a significantly higher positive perception of conspicuous consumption than married groups. Finally, the group with a monthly income of less than 1.8 million won had a positive perception of unreasonable purchases than those with a monthly income of more than 3.5 million won. These results suggest that it is necessary to disaggregate consumer groups rather than vaguely conclude that consumers' perception of unreasonable purchases is neutral. Second, it was established that duality, a universal characteristic of human beings, also exists when assessing irrational purchasing tendencies of themselves and others. By subtype, the duality was strong in order of conspicuous consumption, impulsive buying, and consumption conformity. In addition, it was shown that there was a stronger duality in the group that did not have a positive perception of unreasonable purchases, revealing for the first time the negative correlation between the perception of unreasonable purchases and dualtiy of that. However, there were differences in detailed consumption, but unlike conspicuous consumption and impulsive buying, the difference in duplicity was not significant depending on the degree of positive perception in sympathetic consumption. Finally, as a result of analyzing the significant impact factors of duplicity on unreasonable purchases, the relative influence was high in the order of recognition of unreasonable purchases, full-time housewives/irregularities, self-esteem, high subjective class recognition, professions, service sales/self-employment. This is different from the impact factors of duplicity shown in prior research, suggesting that a differentiated approach is needed for duality in unreasonable purchases. Among the influencing factors, full-time housewives/less workers, professional workers, service sales/self-employment jobs were observed to have a positive influence on duality compared to the refrence group of technology/office workers, and self-esteem among psychological characteristics was also a positive factor. On the other hand, positive perception of unreaonable purchases and a high subjective hierarchical perception, which contrasts with a low subjective hierarchical perception, was found to have an negative influence on duality. An analysis of the factors influencing duality by detailed consumption showed that the common factors were perception of each purchase and self-esteem, while the other factors influencing the duality were all demographic characteristics. Thus, while psychological factors are important, it can be seen that environmental conditions, such as occupation and sex have a major impact on the duality of each purchase. The following suggestions are intended to be made based on the results of the study. First, this study confirmed the duality of consumers' overall unreasonable purchases as an exploratory study. Therefore, subsequent studies should determine one particular unreasonable purchase and reveal its duplicity in detail. Further research is also needed on whether duality is revealed in assessing purchasing propensity, as well as in assessing buying attribution of oneself and others. Second, this study measured the duality of unreasonable purchases through quantitative research, but qualitative research will have to be carried out to further identify what desires are inherent in the base of consumers' duality. Furthermore, such qualitative research could also contribute to finding factors affecting consumers' duality in the future. Finally, active research by consumer science academia on consumer duality is required. Duality is a universal characteristic of human being, but sometimes it can cause many maladjustments. Nevertheless, duality was still a topic that was not well addressed from a consumeristic point of view. Therefore, based on this study, in which consumers have identified the duality of irrational buying, further research on the duality from a consumeristic perspective will need to be activated.์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 1 ์ ˆ ๋ฌธ์ œ์ œ๊ธฐ 1 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ๋ชฉ์  4 ์ œ 2 ์žฅ ์ด๋ก ์  ๋ฐฐ๊ฒฝ 5 ์ œ 1 ์ ˆ ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค 5 1. ์†Œ๋น„์—์„œ์˜ ํ•ฉ๋ฆฌ์„ฑ 5 2. ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์˜ ์ •์˜ 6 3. ๊ณผ์‹œ์†Œ๋น„ 7 4. ๋™์กฐ์†Œ๋น„ 10 5. ์ถฉ๋™๊ตฌ๋งค 12 ์ œ 2 ์ ˆ ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•œ ์ธ์‹๊ณผ ์„ฑํ–ฅ 14 1. ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•œ ์ธ์‹ 14 2. ์ธ์‹๊ณผ ์„ฑํ–ฅ์˜ ๊ด€๊ณ„ 15 ์ œ 3 ์ ˆ ์ด์ค‘์„ฑ 18 1. ์ด์ค‘์„ฑ์— ๋Œ€ํ•œ ๊ฐœ๋…๊ณผ ์„ ํ–‰์—ฐ๊ตฌ 18 2. ์ด์ค‘์„ฑ์˜ ์˜ํ–ฅ์š”์ธ 23 ์ œ 3 ์žฅ ์—ฐ๊ตฌ๋ฌธ์ œ์™€ ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 28 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ๋ฌธ์ œ 28 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 29 1. ์—ฐ๊ตฌ์„ค๊ณ„ ๋ฐ ์ž๋ฃŒ์ˆ˜์ง‘๋ฐฉ๋ฒ• 29 2. ์ธก์ •๋ฐฉ๋ฒ• 31 3. ๋ถ„์„๋ฐฉ๋ฒ• 38 ์ œ 3 ์ ˆ ์กฐ์‚ฌ๋Œ€์ƒ์ž์˜ ์ผ๋ฐ˜์  ํŠน์„ฑ 40 ์ œ 4 ์žฅ ์—ฐ๊ตฌ๊ฒฐ๊ณผ 42 ์ œ 1 ์ ˆ ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•œ ์ธ์‹๊ณผ ์ฐจ์ดํŠน์„ฑ 42 1. ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•œ ์†Œ๋น„์ž์˜ ์ธ์‹ 42 2. ์†Œ๋น„์ž์˜ ํŠน์„ฑ์— ๋”ฐ๋ฅธ ์ธ์‹์—์„œ์˜ ์ฐจ์ด ๋ถ„์„ 44 ์ œ 2 ์ ˆ ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•œ ์ด์ค‘์„ฑ๊ณผ ์ธ์‹ 48 1. ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•œ ์ด์ค‘์„ฑ 48 2. ์ธ์‹์— ๋”ฐ๋ฅธ ์ด์ค‘์„ฑ ์ฐจ์ด ๋ถ„์„ 53 ์ œ 3 ์ ˆ ๋น„ํ•ฉ๋ฆฌ์  ๊ตฌ๋งค์— ๋Œ€ํ•œ ์ด์ค‘์„ฑ์˜ ์˜ํ–ฅ์š”์ธ 56 1. ๊ณผ์‹œ์†Œ๋น„์— ๋Œ€ํ•œ ์ด์ค‘์„ฑ์˜ ์˜ํ–ฅ์š”์ธ 59 2. ๋™์กฐ์†Œ๋น„์— ๋Œ€ํ•œ ์ด์ค‘์„ฑ์˜ ์˜ํ–ฅ์š”์ธ 61 3. ์ถฉ๋™๊ตฌ๋งค์— ๋Œ€ํ•œ ์ด์ค‘์„ฑ์˜ ์˜ํ–ฅ์š”์ธ 63 4. ์†Œ๊ฒฐ 65 ์ œ 5 ์žฅ ๊ฒฐ๋ก  ๋ฐ ์ œ์–ธ 66 ์ œ 1 ์ ˆ ์š”์•ฝ ๋ฐ ๊ฒฐ๋ก  66 1. ์š”์•ฝ 66 2. ๊ฒฐ๋ก  69 ์ œ 2 ์ ˆ ํ•จ์˜ ๋ฐ ์ œ์–ธ 71 ์ฐธ๊ณ ๋ฌธํ—Œ 74 ๋ถ€๋ก: ์„ค๋ฌธ์ง€ 88 Abstract 95Maste

    Anthraquinone-2-carboxylic acid on metal surface : FT-IR spectroscopy and electrochemical method

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    Thesis (master`s)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :ํ™”ํ•™๊ณผ ๋ฌผ๋ฆฌํ™”ํ•™์ „๊ณต,1998.Maste

    ์œก๊ตฐ ์ „๋ฌธํ•™์œ„ ์œ„ํƒ๊ต์œก์ œ๋„์˜ ๊ฐœ์„ ๋ฐฉํ–ฅ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) --์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :ํ–‰์ •ํ•™๊ณผ(์ •์ฑ…ํ•™์ „๊ณต),2008.Maste

    ๋†’์€ ํ”„๋ ˆ์ž„์œจ ์ด๋ฏธ์ง€ ๋ฐ์ดํ„ฐ์˜ ์ž๋™ ์ ์‘ ํ›„์ฒ˜๋ฆฌ๋ฅผ ์œ„ํ•œ ์ž„๊ณ„์น˜ ํ•„ํ„ฐ๋ง ๊ธฐ๋ฒ• ๊ฐœ๋ฐœ

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    MasterAdaptive post-processing method for high frame rate image data has been developed based on a threshold filtering method in spectral domain to automatically post-process electron cyclotron emission (ECE) imaging data for visualization of magnetohydrodynamics (MHD) instabilities in magnetized high-temperature plasma. This method uses the white noise contained in data having nominally normal distribution to set a threshold criterion for significant power spectral components. The white noise and system noises are deleted by comparing with the threshold value and average spectral power density in the region of interest, respectively. The remaining spectral components are weighted by a sigmoid-like function to the effect of emphasizing MHD components. Examples of ECE images processed by conventional (manual) filtering are compared with automatic threshold filtered images, demonstrating equivalent or improved results in post-processing by the threshold filtering

    ์ฒœ์—ฐ๊ณผ์ผ๊ณผ ๊ณผ์ผ์Œ๋ฃŒ์˜ ๋ถˆ์†Œํ•จ๋Ÿ‰ ๋น„๊ต

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) --์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์น˜์˜ํ•™๊ณผ, 2009.2.Maste

    ์šฉ์•กํ˜• ์‚ฐํ™”์•„์—ฐ ๋ฐ˜๋„์ฒด ๋ฐ•๋ง‰ ํŠธ๋žœ์ง€์Šคํ„ฐ๋ฅผ ์œ„ํ•œ ์ž๊ธฐ ์กฐ๋ฆฝ ๊ณ„๋ฉด๊ณผ ์†Œ์žฌ ๊ณต์ •์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ์œตํ•ฉ๊ณผํ•™๊ธฐ์ˆ ๋Œ€ํ•™์› : ์œตํ•ฉ๊ณผํ•™๋ถ€ ๋‚˜๋…ธ์œตํ•ฉ์ „๊ณต, 2015. 8. ๊น€์—ฐ์ƒ.๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ํ”Œ๋ผ์Šคํ‹ฑ ๊ธฐํŒ์œ„์—์„œ ํˆฌ๋ช… ํ”Œ๋ ‰์‹œ๋ธ” ๊ตฌ๋™ ์†Œ์ž๋ฅผ ๊ตฌํ˜„ ํ•  ์ˆ˜ ์žˆ๋„๋ก ์ €์˜จ ์†Œ์„ฑ ๊ฐ€๋Šฅํ•œ ์šฉ์•กํ˜• ๋ฐ•๋ง‰ ํŠธ๋žœ์ง€์Šคํ„ฐ ๊ฐœ๋ฐœ์„ ์œ„ํ•˜์—ฌ ์šฉ์•กํ˜• ์‚ฐํ™”์•„์—ฐ ๋ฐ˜๋„์ฒด ์ „๊ตฌ์ฒด ๋ฐ ๋„ํ•‘ ๋ฐฉ๋ฒ•๊ณผ ํŒจํ„ฐ๋‹, ๊ทธ๋ฆฌ๊ณ  ์‚ฐํ™” ์•Œ๋ฃจ๋ฏธ๋‚˜ ์ ˆ์—ฐ์ฒด์™€ ํšจ์œจ์ ์ธ ๊ณ„๋ฉด ๊ณต์ •์„ ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. ์šฐ์„  ์‚ฐํ™”์•„์—ฐ์€ ์–‘์นœ์„ฑ ๋ฌผ์งˆ์ด๋ฉฐ ๋‹ค๊ณต์„ฑ ๊ตฌ์กฐ๋กœ์จ ๊ธฐ์กด์˜ ํฌํ† ๋ฆฌ์†Œ๊ทธ๋ž˜ํ”ผ์—์„œ์˜ ๊ณต์ • ์ค‘ ๊ฐ• ์—ผ๊ธฐ์„ฑ ํฌํ†  ๋ ˆ์ง€์ŠคํŠธ ์ŠคํŠธ๋ฆฌํผ(photo resist stripper) ์šฉ๋งค์— ์˜ํ•˜์—ฌ ๊ณ„๋ฉด์—์„œ ์นจํˆฌ๋œ ์šฉ๋งค์— ์˜ํ•˜์—ฌ ์„ฑ๋Šฅ ์ €ํ•˜๋ฅผ ์œ ๋ฐœํ•˜๊ฒŒ ๋œ๋‹ค. ๋”ฐ๋ผ์„œ ์ €์˜จ ์†Œ์„ฑ ๊ฐ€๋Šฅํ•œ ์•„์—ฐ ์•„๋ฏผ ์ฐฉ์ œ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๊ธฐ์กด ํฌํ† ๋ฆฌ์†Œ๊ทธ๋ž˜ํ”ผ๋ฅผ ์‚ฌ์šฉํ•˜์ง€ ์•Š๊ณ  ํด๋ฆฌ๋จธ ๋ฑ…ํฌ(bank) ๊ตฌ์กฐ๋ฅผ ์ด์šฉํ•˜์—ฌ ์„  ๊ตฌ์กฐ ํ˜•์„ฑ ํ›„ ์‚ฐํ™” ์•„์—ฐ ์•„๋ฏผ ์ฐฉ์ œ๊ฐ€ ํ‘œ๋ฉด์—์„œ ์•”๋ชจ๋‹ˆ์—„ ์นด๋ณด๋„ค์ดํŠธ๋ฅผ ํ˜•์„ฑํ•˜๋Š” ๊ฒƒ์„ ๋ง‰๊ณ  ๊น”๋”ํ•œ ํŒจํ„ด์œผ๋กœ ํ˜•์„ฑํ•˜๊ณ ์ž ๋ฉ”ํƒ„์˜ฌ๊ณผ ํ†จ๋ฃจ์—”์„ 1:4 ๋ถ€ํ”ผ ๋น„์œจ๋กœ ํ•ฉ์„ฑํ•œ binary solvent mixture๋ฅผ ํ†ตํ•˜์—ฌ lift-off ๋ฐฉ์‹์„ ๋งŒ๋“ค์—ˆ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ๊ธฐ์กด์˜ ์•„์—ฐ์‚ฐํ™”๋ฌผ ํŒจํ„ด ํ˜•์„ฑ ์‹œ ์‚ฌ์šฉ๋˜์—ˆ๋˜ ๊ฐ•์—ผ๊ธฐ ๋ฐ ์‚ฐ์„ฑ์˜ ์šฉ๋งค๋ฅผ ์‚ฌ์šฉํ•˜์ง€ ์•Š๊ณ  ์œ ๊ธฐ ์šฉ๋งค๋ฅผ ํ†ตํ•œ ๊ท ์ผํ•œ ์šฉ์•กํ˜• ํŒจํ„ด ํ˜•์„ฑ ๋ฐฉ๋ฒ•์„ ๋งŒ๋“ค์—ˆ๋‹ค. ๋‹ค์Œ์œผ๋กœ ์ €์˜จํ˜• ๊ณต์ •์„ ์œ„ํ•œ ์‚ฐํ™” ์•„์—ฐ ์•„๋ฏผ ์ฐฉ์ œ ๋ฐ˜์‘์„ ์ด์šฉํ•œ ์ƒˆ๋กœ์šด ์•Œ์นผ๋ฆฌ ๊ธˆ์† ๋„ํ•‘๋œ ์šฉ์•กํ˜• ZnO ๊ธฐ๋ฐ˜์˜ ๊ธˆ์†์‚ฐํ™”๋ฌผ ๋ฐ˜๋„์ฒด ์†Œ์žฌ์™€ ์ด๋Ÿฌํ•œ ์šฉ์•กํ˜• ๋ฐ˜๋„์ฒด์˜ ์„ฑ๋Šฅ์„ ๊ทน๋Œ€ํ™” ํ•  ์ˆ˜ ์žˆ๋Š” ๊ณ  ์„ฑ๋Šฅ์˜ ์šฉ์•กํ˜• ์‚ฐํ™” ์•Œ๋ฃจ๋ฏธ๋‚˜ ์ ˆ์—ฐ์ฒด๋ฅผ ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. 350 ยฐC์˜ ์ €์˜จ์—์„œ ํ˜•์„ฑ๋œ ์‚ฐํ™” ์•Œ๋ฃจ๋ฏธ๋‚˜ ์ ˆ์—ฐ์ฒด์™€ ์‚ฐํ™” ์•„์—ฐ ๋ฐ˜๋„์ฒด๋ฅผ ํ†ตํ•ฉ ์†Œ์ž๋ฅผ ๊ฐœ๋ฐœํ•˜์—ฌ 46.9 cm2/Vs์˜ ๊ต‰์žฅํžˆ ๋†’์€ ์ „๊ณ„ ํšจ๊ณผ ์ด๋™๋„๋ฅผ ๊ตฌํ˜„ํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์ด๋Ÿฌํ•œ ๊ณ ์„ฑ๋Šฅ์€ ๊ฐ ์˜จ๋„์™€ ์Šต๋„ ์ƒํ™ฉ์—์„œ ์ธก์ •ํ•˜์—ฌ ๊ทœ๋ช…ํ•˜์˜€์„ ๋•Œ ํก์ˆ˜๋œ ๋ฌผ์˜ ์ด์˜จํšจ๊ณผ์— ์˜ํ•˜์—ฌ ๊ณ  ์ •์ „์šฉ๋Ÿ‰์ด ํ˜•์„ฑ๋˜์—ˆ์Œ์„ ๊ทœ๋ช…ํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ํ”Œ๋ ‰์‹œ๋ธ” ์†Œ์ž๋กœ์˜ ํ™œ์šฉ์ด ์œ ๋ฆฌํ•œ ์œ ๊ธฐ ์ ˆ์—ฐ์ฒด์™€ ๊ณ  ์ด๋™๋„์˜ ์‚ฐํ™” ์•„์—ฐ ๋ฐ˜๋„์ฒด๊ฐ€ ์ ‘ํ•ฉ๋  ๋•Œ ๋ฐœ์ƒํ•˜๋Š” ํ”Œ๋žซ ๋ฐด๋“œ ์ „์•• ๋ณ€ํ™”๋ฅผ ์œ ๋ฐœํ•˜๋Š” ๊ณ„๋ฉด ํŠธ๋žฉ์„ ํšจ๊ณผ์ ์œผ๋กœ ์ œ์–ดํ•  ๊ณ„๋ฉด์„ ๋ฌด๊ธฐ ์ž๊ธฐ ์กฐ๋ฆฝ ๋ฐ•๋ง‰ ํ˜•์„ฑ ๋ฐฉ๋ฒ•์„ ํ†ตํ•ด ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. ๊ท ์ผํ•˜๊ฒŒ ํ˜•์„ฑ๋œ PDMS ์ฝ”ํŒ…์„ ํ•œ ํ›„ ultraviolet ozone(UVO) ๊ด‘ ๋ณ€ํ™”๋ฅผ ํ†ตํ•˜์—ฌ ๋ชจ๋…ธ ์‹ค๋ฆฌ์นด ๊ณ„๋ฉด์œผ๋กœ ๊ฐœ์งˆ๋œ ๊ณ„๋ฉด ํ˜•์„ฑ ๋ฐฉ๋ฒ•์„ ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. ์ด๋Š” ์œ ๊ธฐ๋ฌผ๊ณผ ๋ฌด๊ธฐ๋ฌผ์˜ ์ ‘ํ•ฉ์‹œ์˜ ๊ณ„๋ฉด ํŠธ๋žฉ์—์„œ ์•ผ๊ธฐ๋˜๋Š” ๊ณ„๋ฉด ์Œ๊ทน์ž(interface dipole)์— ์˜ํ•œ ํ”Œ๋žซ ๋ฐด๋“œ ์ „์•• ๋ณ€ํ™”๋ฅผ ํšจ๊ณผ์ ์œผ๋กœ ์ œ์–ดํ•˜์˜€๋‹ค. ๋˜ํ•œ ์ด์˜ ํ™œ์šฉ์œผ๋กœ ๊ณ„๋ฉด ๊ณต์ • ํ˜•์„ฑ ๋ฐฉ๋ฒ•์„ ์ ์šฉํ•˜์—ฌ ํŒจํ„ฐ๋‹ ๊ธฐ์ˆ ์„ ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. ๋ถ€๋ถ„์ ์œผ๋กœ ์Šต์œค์„ฑ์„ ๋ณ€ํ™”์‹œ์ผœ ์นœ์ˆ˜์„ฑ๊ณผ ์†Œ์ˆ˜์„ฑ ๊ณ„๋ฉด์„ ์„ ํƒ์ ์œผ๋กœ ํŒจํ„ฐ๋‹ํ•˜์—ฌ ์ˆ˜์šฉ์„ฑ ์‚ฐํ™” ์•„์—ฐ ์ „๊ตฌ์ฒด ์šฉ์•ก์„ ๋“œ๋กญ-์บ์ŠคํŒ…(drop-casting)๊ณผ ํ•จ๊ป˜ ๋ฉ”ํƒ„์˜ฌ์˜ ๋ฐ˜์‘์„ ํ†ตํ•˜์—ฌ 100 ยฐC์˜ ์ €์˜จ ์šฉ์•ก ๊ณต์ •์—์„œ๋„ ์•ˆ์ •์  ์†Œ์ž ๊ตฌํ˜„์ด ๊ฐ€๋Šฅํ•œ ํŒจํ„ฐ๋‹ ๋ฐฉ๋ฒ•์„ ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. ๊ฒฐ๋ก ์œผ๋กœ, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ƒˆ๋กœ์šด ์šฉ์•กํ˜• ์‚ฐํ™” ์•„์—ฐ ๋ฐ˜๋„์ฒด ๋ฐ ์‚ฐํ™” ์•Œ๋ฃจ๋ฏธ๋‚˜ ์ ˆ์—ฐ์ฒด ์ „๊ตฌ์ฒด ์ œ์กฐ์™€ ๋„ํ•‘ ๋ฐฉ๋ฒ•, ๊ทธ๋ฆฌ๊ณ  ์ด๋ฅผ ํšจ๊ณผ์ ์œผ๋กœ ์‚ฌ์šฉํ•˜๊ธฐ ์œ„ํ•œ ํŒจํ„ฐ๋‹ ๋ฐฉ๋ฒ•์„ ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์œ ๋ฌด๊ธฐ๋ฅผ ํ†ตํ•ฉํ•œ ํŠธ๋žœ์ง€์Šคํ„ฐ๋ฅผ ๊ฐœ๋ฐœํ•˜๊ธฐ ์œ„ํ•ด์„œ ๋ฌด๊ธฐ ๊ณ„๋ฉด ์ž๊ธฐ ์กฐ๋ฆฝ ๋ฐ•๋ง‰์„ ๊ฐœ๋ฐœํ•˜๊ณ  ์ด์˜ ํšจ๊ณผ์ ์ธ ๊ณ„๋ฉด ํŠธ๋žฉ ์–ต์ œ๋ฅผ ์ด๋ฃจ์—ˆ๋‹ค. ์ด ๊ธฐ์ˆ ๋“ค์€ ์ €์˜จ ์šฉ์•ก ์†Œ์„ฑ ๋ฐฉ๋ฒ•์œผ๋กœ์จ ๊ณ ํ•ด์ƒ๋„ ๋””์Šคํ”Œ๋ ˆ์ด ๋ฐ ํˆฌ๋ช…, ํ”Œ๋ ‰์„œ๋ธ” ๋””์Šคํ”Œ๋ ˆ์ด์—์„œ์˜ ๊ตฌ๋™ ์†Œ์ž๋กœ์˜ ์ถฉ๋ถ„ํ•œ ๊ฐ€๋Šฅ์„ฑ์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค.Contents Abstract ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท โ…  Contents ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท โ…ฃ List of Tables and Figures ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท โ…ฆ Abbreviations ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท โ…ฉโ…จ Chapter 1. Introduction ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 1 1.1 Referencesยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 5 Chapter 2. Literature Review and Theoriesยทยทยท 7 2.1 Thin Film Transistor(TFT):Definition and its theoriesยท7 2.1.1 Structure of TFTยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 9 2.1.2 Operation of TFTยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 13 2.1.3 Parameters of TFTยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 15 2.2 Trends and issues of TFTยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 20 2.3 Oxide materials for TFT ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 22 2.3.1 Oxide semiconductor ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 22 2.3.2 Oxide gate insulator ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 25 2.4 Solution processed zinc oxide for TFT ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 28 2.5 Importance of interface engineering ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 30 2.6 References ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 32 Chapter 3. Experimental Procedureยทยทยทยทยทยทยทยทยทยทยทยทยทยท34 3.1 Materialsยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 34 3.2 Patterning methods of ZnO semiconductorsยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 37 3.3 Interface Engineering ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 39 3.4 TFT Fabrication ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 40 3.5 Characterization ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 44 3.6 References ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 46 Chapter 4. Polymer Pre-Pattern and Binary Solvent Developing for ZnO-Based TFTยทยทยทยทยทยทยทยท47 4.1 Introduction ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท47 4.2 Patterning method for ZnO TFT ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท49 4.3 Binary solvent mixture: toluene?methanol mixtureยทยทยท52 4.4 Bond breakage of PMMA : Pre-patterned substratesยท56 4.5 Electrical characteristics ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท60 4.6 Flexible TTFT with polymer dielectric layer ยทยทยทยทยทยทยทยทยทยท67 4.7 References ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท72 Chapter 5. Doping Mechanism and Integration for High Electrical Performance of Inorganic TFT ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท75 5.1 Introduction ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท75 5.2 Alkali metal doping for solution-processed ZnOยทยทยทยทยทยทยท78 5.3 Ionic amorphous dielectric layer for ZnO TFTsยทยทยทยทยทยทยท81 5.4 Electrical characteristics of integrated metal oxide TFT ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท87 5.5 Water adsorption effects of ionic amorphous dielectric layerยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท98 5.6 Referencesยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท107 Chapter 6. Interface Engineering for Suppression of Flat-Band Voltage Shift in ZnO Semiconductor /Polymer Dielectric Thin Film Transistorยทยทยทยทยทยทยทยท110 6.1 Introduction ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท110 6.2 Fabrication method for a self-assembled inorganic layer (SAIL) ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท112 6.3 The interface engineering effect with stable electrical performance by SAIL ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท117 6.4 Analytic model for suppression of flat band shiftยทยทยท128 6.5 Flexible bending test of ZnO/SAIL/PVP TFTs ยทยทยทยทยท134 6.6 References ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท138 Chapter 7. Patterning by Interface Engineering ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท140 7.1 Introductionยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท140 7.2 Low-temperature process through ligand extraction by methanolยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท142 7.3 Patterning: interface engineering using selective photoinduced transformation ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท144 7.4 Analysis of Na doped ZnO by X-ray photoelectron spectroscopy (XPS) ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท154 7.5 Electrical characteristics ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท161 7.6 References ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท169 Chapter 8. Conclusionยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 172 Appendixยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 176 ์ดˆ๋ก(๊ตญ๋ฌธ) ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 186Docto

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    ์ด ์—ฐ๊ตฌ๋Š” ์„ ๋ฐ•์— ์˜ค๋ฅด๋‚ด๋ฆฌ๋Š” ๊ณต๊ฐ„๊ณผ ์‹œ์„ค์˜ ์‚ฌ์šฉ ๋ฐ ์—ฌ๊ฐ์˜ ์Šน๊ฐ• ํ–‰์œ„ ๊ฐœ์„ ์„ ์œ„ํ•œ ๊ธฐ์ดˆ ์—ฐ๊ตฌ๋กœ์„œ ๋‹ค์–‘ํ•œ ์ข…๋ฅ˜์˜ ์„ ๋ฐ• ์ค‘ ๊ด€๊ด‘ ์œ ๋žŒ์„  ์„ ์ฐฉ์žฅ์˜ ๋ฌธ์ œ์ ๊ณผ ๊ฐœ์„ ๋ฐฉํ–ฅ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ํ˜„๋Œ€ ์‚ฌํšŒ์˜ ๊ตํ†ต์ˆ˜๋‹จ์€ ์šด์†ก์˜ ๋ชฉ์  ๋ฟ ์•„๋‹ˆ๋ผ ๊ด€๊ด‘์˜ ๋ชฉ์  ๋˜ํ•œ ์กด์žฌํ•˜๋ฉฐ ์œก์ƒ์˜ ๊ตํ†ต์ˆ˜๋‹จ๊ณผ ๋งˆ์ฐฌ๊ฐ€์ง€๋กœ ํ•ด์ƒ ๊ตํ†ต์˜ ์Šน๊ฐ• ํ–‰์œ„ ๋˜ํ•œ ์ง€์†์ ์ธ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ํ•˜์ง€๋งŒ ์„ ๋ฐ•์€ ์œก์„ฑ์˜ ๋Œ€์ค‘๊ตํ†ต์— ๋น„ํ•˜์—ฌ ์Šน๊ฐ•์žฅ๊ณผ ๋Œ€๊ธฐ๊ณต๊ฐ„์˜ ํ™˜๊ฒฝ์ด ์—ด์•…ํ•˜๊ณ  ์Šน๊ฐ•์šฉ ์‹œ์„ค ํ˜น์€ ์•ˆ์ „์‹œ์„ค์˜ ๊ฐœ๋ฐœ์ด ๋ถ€์กฑํ•˜๋‹ค. ์„ ๋ฐ•์œผ๋กœ์˜ ์Šน๊ฐ•ํ–‰์œ„๋Š” ํ•ด์ƒ์—์„œ ๋ฐœ์ƒํ•œ๋‹ค๋Š” ์ ์—์„œ ๋”์šฑ ์œ„ํ—˜ํ•œ ํ™˜๊ฒฝ์— ๋†“์—ฌ์žˆ๋Š” ๋ฐ˜๋ฉด ๊ตฌ์‹œ๋Œ€์ ์ธ ์‹œ์„ค์˜ ์‚ฌ์šฉ ํ˜น์€ ์•ˆ์ „์— ๋Œ€ํ•œ ๋ถˆ๊ฐ์ฆ ๋“ฑ์œผ๋กœ ์œก์ƒ๋ณด๋‹ค ํญ๋„“์€ ์•ˆ์ „์‚ฌ๊ณ ๊ฐ€ ๋ฐœ์ƒํ•˜๊ณ  ์žˆ๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ๋Š” ๋ถ€์‚ฐ์‹œ์— ์žˆ๋Š” ์œ ์„ ์žฅ 8๊ฐœ์†Œ๋ฅผ ๋Œ€์ƒ์œผ๋กœ ๊ณต๊ฐ„ ๋ฐ ์‹œ์„ค์— ๋Œ€ํ•œ ํ˜„ํ™ฉ ๊ฒ€ํ† ์™€ ๊ฐœ์„  ๋ฐฉํ–ฅ์— ๋Œ€ํ•ด ๋…ผ์˜ํ•˜์˜€์œผ๋ฉฐ ์—ฐ๊ตฌ์˜ ์ง„ํ–‰์€ ์œ ๋žŒ์„ ๊ณผ ๋Œ€์ค‘๊ตํ†ต ์ˆ˜๋‹จ์˜ ์ œ๋„์  ํ˜„ํ™ฉ์„ ๋น„๊ตํ•˜๊ณ  ์œ ์„ ์žฅ์˜ ์Šน๊ฐ•์žฅ ๋ฐ ์Šน๊ฐ•์‹œ์„ค์— ๋Œ€ํ•œ ํ˜„ํ™ฉ์„ ๋ถ„์„ํ•˜์˜€๊ณ  ํ•ด์™ธ ์œ ๋žŒ์„  ์‚ฌ๋ก€๋ฅผ ์‚ดํŽด๋ณด๋ฉฐ ์‹œ์‚ฌ์ ์„ ๋„์ถœํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ ๋Œ€์ƒ ๋ถ„์„ ๋‚ด์šฉ์€ ๋‹ค์Œ๊ณผ ๊ฐ™์ด ์ •๋ฆฌํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ ์งธ, ์œ ์„ ์žฅ์˜ ๋Œ€๊ธฐํ™˜๊ฒฝ์„ ์ ‘๊ทผ๊ณต๊ฐ„๊ณผ ๋Œ€๊ธฐ๊ณต๊ฐ„์œผ๋กœ ๋‚˜๋ˆ„์–ด ๊ฒ€ํ† ํ•˜์˜€๋‹ค. ๋ถ€์‚ฐ์‹œ ์œ ์„ ์žฅ์˜ ์ ‘๊ทผ ๊ณต๊ฐ„์€ ๋„์‹œ ๋‚ด ์œ„์น˜ํ•œ ๊ด€๊ด‘์ง€๋กœ์„œ ๋Œ€์ค‘๊ตํ†ต์„ ์ด์šฉํ•œ ์ ‘๊ทผ์ด ์šฉ์ดํ•œ ๋ฐ˜๋ฉด ์ฃผ์ฐจ๊ณต๊ฐ„์˜ ๋ถ€์žฌ๋กœ ์ฐจ๋Ÿ‰์˜ ์ ‘๊ทผ์ด ์–ด๋ ค์šด ์ƒํ™ฉ์ด๋‹ค. ์ ‘๊ทผ์„ฑ์€ ์—ฌ๊ฐ์˜ ๋Œ€๊ธฐ ํ™˜๊ฒฝ์— ํฐ ์˜ํ–ฅ์„ ์ค€๋‹ค. ๋Œ€๊ธฐ๊ณต๊ฐ„์€ ์œ ์„ ์˜ ์Šน์„ ์ •์›์— ์ ํ•ฉํ•œ 1์ธ ์ ์œ ๋ฉด์ ์„ ํ™•๋ณดํ•˜์ง€ ๋ชปํ•˜๊ณ  ์žˆ์œผ๋ฉฐ ํ„ฐ๋ฏธ๋„ ๊ฑด์ถ•๋ฌผ์„ ๋ณด์œ ํ•œ ์‚ฌ๋ก€๊ฐ€ ์ ์–ด ์•ผ์™ธ์— ๋…ธ์ถœ๋œ ํ™˜๊ฒฝ์—์„œ ์—ฌ๊ฐ์˜ ๋Œ€๊ธฐ๊ฐ€ ์ด๋ฃจ์–ด์ง€๊ณ  ์žˆ๋‹ค. ๋‘˜ ์งธ, ์œ ์„ ์žฅ์˜ ์Šน๊ฐ• ํ™˜๊ฒฝ์€ ์Šน๊ฐ•์žฅ๊ณผ ์Šน๊ฐ•์šฉ ์‹œ์„ค์— ๋Œ€ํ•œ ๊ฒ€ํ† ๋ฅผ ์ง„ํ–‰ํ•˜์˜€๊ณ  ๋Œ€๊ธฐ๊ณต๊ฐ„๊ณผ ๋งˆ์ฐฌ๊ฐ€์ง€๋กœ ์—ฌ๊ฐ์˜ ์ ์œ ๋ฉด์ ์— ๋Œ€ํ•ด ๋ถ„์„ํ•˜์˜€์œผ๋ฉฐ ์Šน๊ฐ•์šฉ ์‹œ์„ค์˜ ํ˜„ํ™ฉ์„ ํŒŒ์•…ํ•˜์—ฌ ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ํ˜„์žฌ ์œ ์„ ์žฅ์€ ๋ฐฉํŒŒ์ œ, ์•ˆ๋ฒฝ, ์ฒ ๊ณจ ๊ตฌ์กฐ๋ฌผ ๋“ฑ ๋‹ค์–‘ํ•œ ํ˜•ํƒœ์˜ ์Šน๊ฐ•์žฅ์„ ์ด์šฉํ•˜๊ณ  ์žˆ๋‹ค. ๋•Œ๋ฌธ์— ์Šน๊ฐ•์žฅ๊ณผ ์„ ๋ฐ•์˜ ๋†’์ด, ๊ฑฐ๋ฆฌ ์ฐจ์ด ๋“ฑ์— ๋”ฐ๋ผ ๊ฐ๊ฐ ๋‹ค๋ฅธ ์Šน๊ฐ•์šฉ ์‹œ์„ค์˜ ์‚ฌ์šฉ์ด ํ•„์š”ํ•˜๋‹ค. ํ•˜์ง€๋งŒ ์Šน๊ฐ•์šฉ ์‹œ์„ค์˜ ๋ถ€์žฌ๋กœ ์—ฌ๊ฐ์˜ ์Šน๊ฐ• ์‹œ ์ถ”๋ฝ์˜ ์œ„ํ—˜์ด ํฐ ์ƒํ™ฉ์ด๋‹ค. ๋˜ํ•œ ์„ ๋ฐ•์˜ ๊ณ„๋ฅ˜ ๋ฐฉ์‹ ๋˜ํ•œ ๋„“์€ ๊ณ„๋ฅ˜ ์„ ์„์„ ๋ณด์œ ํ•จ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ์„ ๋ฐ•์˜ ์„ ์ˆ˜ ์ธก์œผ๋กœ ์ •๋ฐ•ํ•˜์—ฌ ์—ฌ๊ฐ์„ ์Šน๊ฐ•์‹œํ‚ค๊ธฐ ๋•Œ๋ฌธ์— ์Šน๊ฐ• ํ–‰์œ„ ์‹œ ์„ ๋ฐ•๊ณผ ์Šน๊ฐ•์žฅ ์‚ฌ์ด์˜ ๋„“์€ ํ‹ˆ์„ ๋„์•ฝํ•ด์•ผ๋งŒ ํ•˜๋Š” ์ƒํ™ฉ์ด๋‹ค. ์…‹ ์งธ. ์œ ์„ ์žฅ์˜ ์‹ค์ œ์  ๋ฌธ์ œ์ ๊ณผ ํ˜„์žฅ ๋ฐฉ๋ฌธ์„ ํ†ตํ•ด ํ™•์ธํ•œ ๋ฌธ์ œ์ ์˜ ์›์ธ์„ ์„ ๋ฐ• ๊ด€๋ จ ๋ฒ•๋ น๊ณผ ์ œ๋„๋ฅผ ํ†ตํ•ด ๊ฒ€ํ† ํ•˜์˜€์œผ๋ฉฐ ์œก์ƒ์˜ ๊ตํ†ต์ˆ˜๋‹จ๊ณผ ๋น„๊ตํ•˜์—ฌ ๋ฌธ์ œ์ ์„ ๋„์ถœํ•˜์˜€๋‹ค. ์„ ๋ฐ•์˜ ๋ฒ•๋ น์€ ์œก์ƒ ๊ตํ†ต์ˆ˜๋‹จ์— ๋น„ํ•ด ์„ธ๋ถ€์ ์ธ ๊ทœ์ •์ด ๋ถ€์กฑํ•˜๋ฉฐ, ์Šน๊ฐ•๊ณต๊ฐ„์— ๋Œ€ํ•œ ๊ทœ์ •๊ณผ ์œ ์„ ์žฅ์˜ ์„ค๊ณ„ ์ง€์นจ, ์‹œ์„ค๊ธฐ์ค€ ๋“ฑ์ด ๋ชจํ˜ธํ•˜์—ฌ ๊ฐ ์‹œ์„ค๋ณ„ ์•ˆ์ „ ๊ธฐ์ค€์„ ๋งˆ๋ จํ•˜๊ธฐ ์–ด๋ ค์šด ์ƒํ™ฉ์ด์—ˆ๋‹ค. ์„ ๋ฐ•์˜ ์Šน๊ฐ• ํ–‰์œ„๋Š” ํ˜„์žฌ ๋‹ค๋ฅธ ๊ตํ†ต์ˆ˜๋‹จ์— ๋น„ํ•ด ํ™•์—ฐํ•œ ๋ฌธ์ œ์ ์„ ๊ฐ–๊ณ  ์žˆ์œผ๋ฉฐ ์ด๋Š” ๋งค์šฐ ๊ทœ๋ฒ”์ ์ธ ๋‚ด์šฉ์œผ๋กœ ์—ฐ๊ตฌ์˜ ๊ฒฐ๋ก ์„ ๋‚ด๋ฆฌ๊ธฐ ์–ด๋ ค์šด ๋ฌธ์ œ์ด์ง€๋งŒ ์Šน๊ฐ• ์•ˆ์ „์— ๋Œ€ํ•œ ์˜์‹์„ ์œก์ƒ๊ตํ†ต์—์„œ ํ•ด์ƒ์œผ๋กœ ํ™•๋Œ€ํ•จ์— ์˜์˜๊ฐ€ ์žˆ์œผ๋ฉฐ ์œ ์„ ์žฅ์˜ ์Šน๊ฐ• ํ™˜๊ฒฝ ๊ฐœ์„ ์€ ํ•ญ๋งŒ ๊ณต๊ฐ„ ์ „์ฒด์˜ ์Šน๊ฐ• ํ™˜๊ฒฝ ๊ฐœ์„ ์„ ์œ„ํ•œ ๋งˆ์ค‘๋ฌผ๋กœ์„œ ์˜๋ฏธ๊ฐ€ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ํ•ญ๋งŒ ๊ณต๊ฐ„์˜ ๊ณต๊ณต๋””์ž์ธ ๊ฐ€์ด๋“œ๋ผ์ธ ์ •์ฑ…๊ณผ ๊ฐ™์€ ์‹œ๋Œ€์  ๋ฐฐ๊ฒฝ์— ๋งž์ถ”์–ด ์„ ๋ฐ•์˜ ์Šน๊ฐ• ํ™˜๊ฒฝ์— ๋Œ€ํ•ด ์•Œ์•„๋ณด์•˜๋‹ค. ํ˜„์žฌ์˜ ์„ ๋ฐ• ์Šน๊ฐ•์— ๋Œ€ํ•œ ์˜์‹๊ณผ ๊ธฐ์„ค์น˜๋œ ์œ ์„ ์žฅ ์‹œ์„ค์˜ ๋ฌธ์ œ์ ์„ ํŒŒ์•…ํ•˜๊ณ  ๊ฐœ์„ ์˜ ๋ฐฉํ–ฅ์— ๋Œ€ํ•ด ๋…ผ์˜ํ•˜๊ณ ์ž ํ•˜์˜€์œผ๋ฉฐ ์ด๋Š” ํ–ฅํ›„ ํ•ญ๋งŒ ๊ณต๊ฐ„์˜ ๊ณต๊ณต๋””์ž์ธ๊ณผ ์—ฌ๊ฐ์˜ ์•ˆ์ „, ํŽธ์˜์„ฑ ๋“ฑ ๋‹ค์–‘ํ•œ ์š”์ธ์— ์˜ํ–ฅ์„ ์ค„ ๊ฒƒ์œผ๋กœ ์ƒ๊ฐ๋œ๋‹ค.๋ชฉ ์ฐจ List of Tables โ…ฒ List of figures โ…ณ Abstract โ…ถ 1. ์„œ๋ก  1 1.1 ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  1 1.2 ์—ฐ๊ตฌ์˜ ๋ฒ”์œ„ ๋ฐ ๋ฐฉ๋ฒ• 3 1.3 ์—ฐ๊ตฌ์˜ ๋Œ€์ƒ 6 1.3.1 ๊ตญ๋‚ด ์—ฐ๊ตฌ๋Œ€์ƒ์˜ ํ˜„ํ™ฉ 7 1.3.2 ํ•ด์™ธ ์—ฐ๊ตฌ๋Œ€์ƒ์˜ ํ˜„ํ™ฉ 23 2. ์Šน๊ฐ•์‚ฌ๊ณ ์™€ ์Šน๊ฐ•ํ™˜๊ฒฝ 27 2.1 ์Šน๊ฐ•ํ–‰์œ„์— ๋Œ€ํ•œ ๊ณ ์ฐฐ 27 2.2 ์œ ์„ ์žฅ์˜ ๊ฐœ๋…๊ณผ ํ˜„ํ™ฉ 32 2.3 ์Šน๊ฐ•ํ™˜๊ฒฝ์— ๊ด€ํ•œ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  34 2.4 ์œ ์„ ์žฅ ์Šน๊ฐ•ํ™˜๊ฒฝ ๋ถ„์„์˜ ํ‹€ 36 3. ์œ ์„ ์žฅ์˜ ๋Œ€๊ธฐํ™˜๊ฒฝ 41 3.1 ์œ ์„ ์žฅ์œผ๋กœ์˜ ์ ‘๊ทผ 41 3.2 ์œ ์„ ์žฅ์˜ ๋Œ€๊ธฐ๊ณต๊ฐ„ ๋ถ„์„ 48 3.3 ์†Œ๊ฒฐ 52 4. ์œ ์„ ์žฅ์˜ ์Šน๊ฐ•ํ™˜๊ฒฝ 54 4.1 ์Šน๊ฐ•์žฅ์˜ ์—ฌ๊ฐ ์ ์œ  ๋ฉด์  54 4.2 ์„ ๋ฐ•์˜ ์ ‘์•ˆ ๋ฐฉ์‹ 57 4.3 ์Šน๊ฐ•์šฉ ์‹œ์„ค ํ˜„ํ™ฉ ๋ถ„์„ 59 4.4 ์†Œ ๊ฒฐ 64 5. ์Šน๊ฐ•ํ™˜๊ฒฝ ๊ด€๋ จ ๋ฒ•๋ น ๋ฐ ์ œ๋„ 66 5.1 ๊ตํ†ต์ˆ˜๋‹จ๋ณ„ ์Šน๊ฐ• ๊ด€๋ จ ๋ฒ•๋ น ๊ฒ€ํ†  66 5.1.1 ์„ ๋ฐ• 66 5.1.2 ๋ฒ„์Šค 67 5.1.3 ๋„์‹œ์ฒ ๋„ 68 5.1.4 ๊ตํ†ต์•ฝ์ž ์ด๋™ํŽธ์˜ ์ฆ์ง„๋ฒ• 69 5.2 ์„ ๋ฐ•์˜ ์Šน๊ฐ• ๊ด€๋ จ ๋ฒ•๋ น ๋ถ„์„ 72 5.3 ๋ฒ„์Šค์˜ ์Šน๊ฐ• ๊ด€๋ จ ๋ฒ•๋ น ๋ถ„์„ 76 5.4 ๋„์‹œ์ฒ ๋„์˜ ์Šน๊ฐ• ๊ด€๋ จ ๋ฒ•๋ น ๋ถ„์„ 81 5.5 ์†Œ ๊ฒฐ 83 6. ๊ฒฐ ๋ก  86 ์ฐธ ๊ณ  ๋ฌธ ํ—Œ 89Maste

    ๋ฐ˜์ธก ์•ˆ๋ฉด ์—ฐ์ถ• ํ™˜์ž์—์„œ์˜ ์ฒ™์ถ”๊ธฐ์ €๋™๋งฅ ์‹ ์—ฐ์ฆ๊ณผ์˜ ์—ฐ๊ด€์„ฑ์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์˜ํ•™๊ณผ ๋‡Œ์‹ ๊ฒฝ๊ณผํ•™ ์ „๊ณต, 2016. 2. ๊น€์ข…๋ฏผ.Objective: Hemifacial spasm (HFS) is frequently caused by vascular compression of the facial nerve. Dolichoectasia of vertebrobasilar arteries (VBDE) may cause vascular crowding in the limited space of the posterior fossa, increasing the chance of vascular contact to the facial nerve. We investigated the prevalence of VBDE in HFS. Methods: We analyzed the presence of VBDE on MRI in patients with HFS and control subjectsage, sex and hypertension were matched. Two blinded readers independently assessed the images. We evaluated the vascular risk factors, including diabetes mellitus, hyperlipidemia, history of ischemic heart disease, and/or stroke, and the presence of lacunes on brain MRI. Results: A total of 620 subjectsโ€“310 HFS patients and 310 control subjectsโ€“were included. The prevalence of VBDE was higher in HFS patients (48/310, 15.5%) than in controls (10/310, 3.2%), with an odds ratio of 5.82 (95% confidence interval: 2.86โ€“11.85, p < 0.001). The presence of facial nerve contacting vessels was more frequent in VBDE-positive HFS patients (81.3%) than VBDE-negative patients (54.2%), with an odds ratio of 3.48 (95% confidence interval: 1.60โ€“7.57, p = 0.002). Among HFS patients, VBDE-positive patients showed to exhibit a higher mean age, as well as greater frequency of hypertension and history of ischemic heart disease than their VBDE-negative counterparts. Conclusions: We found that VBDE is associated with HFS in a portion of HFS patients. Since vascular risk factors were more frequently observed in VBDE-positive patients, an investigation of VBDE and its risk factors in patients with HFS may be served to prevent vascular complications.Introduction 5 Methods 7 Standard protocol approvals, registrations, and patient consents 7 Imaging protocol and analysis 8 Statistical analysis 10 Results 11 Discussion 14 References 19 Tables 23 Figure 31 Legends for figure 32 ๊ตญ๋ฌธ ์ดˆ๋ก 33Maste
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