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    ๊ณต๊ณต๊ธฐ๊ด€์˜ ๊ธฐ๊ด€์žฅ ๋ฆฌ๋”์‹ญ ์œ ํ˜• ๋ฐ ์˜์‚ฌ๊ฒฐ์ • ์œ ํ˜•๊ณผ ์กฐ์ง์„ฑ๊ณผ๊ฐ„์˜ ์ƒ๊ด€๊ด€๊ณ„์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ณต๊ณต๊ธฐ๊ด€ ๊ธฐ๊ด€์žฅ์˜ ๋ฆฌ๋”์‹ญ ์œ ํ˜• ๋ฐ ์˜์‚ฌ๊ฒฐ์ • ์œ ํ˜•๊ณผ ์กฐ์ง์„ฑ๊ณผ๊ฐ„์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๊ทœ๋ช…ํ•˜๋Š”๋ฐ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ๊ณต๊ณต๊ธฐ๊ด€์˜ ์„ฑ์žฅ๊ณผ ๋ฐœ์ „์„ ์œ„ํ•ด ๊ธฐ๊ด€์žฅ์ด ๊ฐ–์ถ”์–ดํ•  ๋ฐ”๋žŒ์งํ•œ ๋ฆฌ๋”์‹ญ๊ณผ ์˜์‚ฌ๊ฒฐ์ • ์œ ํ˜•์„ ์ถ”๋ก ํ•จ์œผ๋กœ์จ ๊ณต๊ณต๊ธฐ๊ด€์˜ ์ง€์†๊ฐ€๋Šฅ๊ฒฝ์˜์„ ์œ„ํ•œ ์‹œ์‚ฌ์ ์„ ์ œ์‹œํ•˜๊ณ ์ž ํ•œ๋‹ค. ์—ฐ๊ตฌ๋ชจํ˜• ์„ค์ •์€ ๋ฆฌ๋”์‹ญ ์œ ํ˜•๊ณผ ์˜์‚ฌ๊ฒฐ์ • ์œ ํ˜•์— ๊ด€ํ•œ ์„ ํ–‰์—ฐ๊ตฌ์™€ ๋ณธ ์—ฐ๊ตฌ์ž๊ฐ€ ๊ณต๊ณต๊ธฐ๊ด€์—์„œ ๊ทผ๋ฌดํ•˜๋ฉด์„œ ๊ฒฝํ—˜ํ•œ ๊ธฐ๊ด€์žฅ๋“ค์˜ ๋ฆฌ๋”์‹ญ ์œ ํ˜•๊ณผ ์˜์‚ฌ๊ฒฐ์ • ์œ ํ˜•์„ ์ฐธ์กฐํ•˜์—ฌ ๋ณ€์ˆ˜๋กœ ์„ค์ •ํ•˜์˜€๋‹ค. ๋…๋ฆฝ๋ณ€์ˆ˜์ธ ๋ฆฌ๋”์‹ญ ์œ ํ˜•๊ณผ ์˜์‚ฌ๊ฒฐ์ • ์œ ํ˜•์€ ํ˜์‹ ํ˜•, ๊ด€๋ฃŒํ˜•, ๊ณผ์—…ํ˜•, ์ฐธ์—ฌํ˜•๊ณผ ๋…๋‹จํ˜•, ์กฐ์ •ํ˜•, ๋ฏผ์ฃผํ˜•์œผ๋กœ ๊ตฌ์„ฑํ•˜์˜€์œผ๋ฉฐ, ์ข…์†๋ณ€์ˆ˜์ธ ๋งค์ถœ์•ก ์ฆ๊ฐ€์œจ๊ณผ ์ž๊ธฐ์ž๋ณธ์ˆœ์ด์ต์ฆ๊ฐ€์œจ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ๋ ฅ์„ ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ณต๊ณต๊ธฐ๊ด€์šด์˜์—๊ด€ํ•œ๋ฒ•๋ฅ ์— ์˜ํ•ด ์ง€์ •๋œ 286๊ฐœ ๊ณต๊ณต๊ธฐ๊ด€ ์ค‘ 2008๋…„ ์ •๊ถŒ๊ต์ฒด๋กœ ๊ธฐ๊ด€์žฅ์˜ ๋ณ€ํ™”๊ฐ€ ์žˆ์—ˆ๋˜ 15๊ฐœ ๊ธฐ๊ด€(๊ณต๊ธฐ์—… 10๊ฐœ, ์ค€์ •๋ถ€๊ธฐ๊ด€ 5๊ฐœ)์„ ๋Œ€์ƒ์œผ๋กœ ์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ์‹ค์‹œํ•˜์—ฌ ์ด 10๊ฐœ ๊ธฐ๊ด€ 283๋ถ€์˜ ์„ค๋ฌธ์ง€๋ฅผ ํšŒ์ˆ˜ํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ž๋ฃŒ๋ถ„์„์€ SPSS 18.0์„ ํ™œ์šฉํ•˜์—ฌ ๋ณ€์ˆ˜์— ๊ด€ํ•œ ๋นˆ๋„๋ถ„์„, ์š”์ธ๋ถ„์„, ์‹ ๋ขฐ์„ฑ ๋ถ„์„์„ ์‹ค์‹œํ•˜์—ฌ ์ด 28๋ฌธํ•ญ ์ค‘ 5๊ฐœ ๋ฌธํ•ญ์„ ์ œ์™ธํ•œ 23๋ฌธํ•ญ์ด ์ตœ์ข…๋ถ„์„์— ํ™œ์šฉํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ์‚ดํŽด๋ณด๋ฉด ๋ฆฌ๋”์‹ญ ์œ ํ˜•์— ๋”ฐ๋ผ ์กฐ์ง์„ฑ๊ณผ์— ์ฐจ์ด๊ฐ€ ์žˆ๋‹ค๋Š” ์—ฐ๊ตฌ๊ฐ€์„ค์ด ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•œ ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ๋ฆฌ๋”์‹ญ ์œ ํ˜•๊ณผ ๋งค์ถœ์•ก์ฆ๊ฐ€์œจ ๋ฐ ์ž๊ธฐ์ž๋ณธ์ˆœ์ด์ต์ฆ๊ฐ€์œจ์—์„œ๋Š” ๊ฒฝ์˜ํ™˜๊ฒฝ ๋ณ€ํ™”์— ๋Šฅ๋™์ ์œผ๋กœ ๋Œ€์ฒ˜ํ•  ์ˆ˜ ์žˆ๋„๋ก ์กฐ์ง์˜ ๋ณ€ํ™”๋ฅผ ์š”๊ตฌํ•˜๋Š” ํ˜์‹ ํ˜• ๋ฆฌ๋”์‹ญ์ด ์กฐ์ง์˜ ์•ˆ์ •์„ฑ์„ ์ค‘์‹œํ•˜๋Š” ๊ด€๋ฃŒํ˜• ๋ฆฌ๋”์‹ญ๋ณด๋‹ค ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ์ฃผ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์กฐ์ง์˜ ๋ชฉํ‘œ์„ค์ •๊ณผ ๋‹ฌ์„ฑ์„ ์ค‘์‹œํ•˜๋Š” ๊ณผ์—…ํ˜• ๋ฆฌ๋”์‹ญ์ด ์กฐ์ง ๊ตฌ์„ฑ์›์˜ ์˜๊ฒฌ๊ณผ ํ•ฉ์˜๋ฅผ ์ค‘์‹œํ•˜๋Š” ์ฐธ์—ฌํ˜• ๋ฆฌ๋”์‹ญ๋ณด๋‹ค ๋งค์ถœ์•ก ์ฆ๊ฐ€์œจ์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ์ฃผ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋‚˜, ์ž๋ณธ์ด์ต์ฆ๊ฐ€์œจ๊ณผ์˜ ์˜ํ–ฅ๋ ฅ์—์„œ๋Š” ์ƒ๋ฐ˜๋œ ๊ฒฐ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์˜์‚ฌ๊ฒฐ์ • ์œ ํ˜•์—์„œ๋Š” ์กฐ์ •ํ˜• ์˜์‚ฌ๊ฒฐ์ • ์œ ํ˜•์ด ๋…๋‹จํ˜• ์˜์‚ฌ๊ฒฐ์ •์œ ํ˜•์ด๋‚˜ ์ฐธ์—ฌํ˜• ์˜์‚ฌ๊ฒฐ์ • ์œ ํ˜•๋ณด๋‹ค ๋งค์ถœ์•ก ์ฆ๊ฐ€์œจ๊ณผ ์ž๊ธฐ์ž๋ณธ์ˆœ์ด์ต์ฆ๊ฐ€์œจ์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ์ฃผ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ์ œ์‹œํ•˜๊ณ ์ž ํ•˜๋Š” ์‹œ์‚ฌ์ ์€ ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ๊ณต๊ณต๊ธฐ๊ด€์˜ ๊ธฐ๊ด€์žฅ์€ ํ˜์‹ ํ˜• ๋ฆฌ๋”์‹ญ ๋ฐœํœ˜๋ฅผ ํ†ตํ•ด ์กฐ์ง๊ตฌ์„ฑ์›๋“ค์ด ํ˜„์‹ค์— ์•ˆ์ฃผํ•˜์ง€ ์•Š๊ณ  ์กฐ์ง์˜ ์„ฑ์žฅ๊ณผ ๋ฐœ์ „์„ ์œ„ํ•ด ๋Š์ž„์—†๋Š” ํ˜์‹ ๊ณผ ์‹ ์‚ฌ์—… ๋“ฑ์„ ์ฐฝ์ถœ ํ•  ์ˆ˜ ์žˆ๋„๋ก ์กฐ์ง๊ตฌ์„ฑ์›๋“ค์„ ๋…๋ คํ•˜๊ณ  ์ด๋Œ์–ด ๋‚˜๊ฐ€๋Š” ๋™์‹œ์— ์™ธ๋ถ€ํ™˜๊ฒฝ ๋ณ€ํ™”์— ๋Šฅ๋™์ ์œผ๋กœ ๋Œ€์ฒ˜ํ•  ์ˆ˜ ์žˆ๋„๋ก ์ง€์†์ ์œผ๋กœ ์กฐ์ง์„ ๋ณ€ํ™”์‹œ์ผœ ๋‚˜๊ฐ€์•ผ ํ•œ๋‹ค. ๋‘˜์งธ, ๊ณต๊ณต๊ธฐ๊ด€ ๊ธฐ๊ด€์žฅ์€ ๊ณผ์—…ํ˜• ๋ฆฌ๋”์‹ญ๊ณผ ์ฐธ์—ฌํ˜• ๋ฆฌ๋”์‹ญ์„ ์ ์ ˆํžˆ ๋ฐœํœ˜ํ•˜์—ฌ ์„ฑ๊ณผ์ค‘์‹ฌ์˜ ๊ธฐ์—…๋ฌธํ™”๋ฅผ ์ •์ฐฉํ•˜๊ณ  ์กฐ์ง๊ตฌ์„ฑ์›๊ณผ์˜ ์›ํ™œํ•œ ์˜์‚ฌ์†Œํ†ต์œผ๋กœ ์ž๋ฐœ์ ์ธ ์—…๋ฌด์ถ”์ง„์„ ์œ ๋„ํ•˜๊ณ , ์—…๋ฌด์˜์š•์„ ๊ณ ์ทจ์‹œ์ผœ ๋‚˜๊ฐ€์•ผ ํ•œ๋‹ค. ์…‹์งธ, ๊ณต๊ณต๊ธฐ๊ด€ ๊ธฐ๊ด€์žฅ์ด ๊ฐ€์ง€๊ณ  ์žˆ๋Š” ๊ฒฝ์˜์ง€์‹ ๋“ฑ์„ ๋ฐ”ํƒ•์œผ๋กœ ์˜์‚ฌ๊ฒฐ์ •์„ ํ•˜๋Š” ๊ฒƒ๋ณด๋‹ค๋Š” ์กฐ์ง๊ตฌ์„ฑ์›๊ณผ์˜ ์ƒํ˜ธ์˜๊ฒฌ ๊ตํ™˜๊ณผ์ •์„ ํ†ตํ•ด ๊ฐ€์žฅ ํ•ฉ๋ฆฌ์ ์ธ ๊ฒฐ์ •์„ ๋‚ด๋ฆฌ๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋‹ค. ๊ณผ๊ฑฐ์™€ ๊ฐ™์ด ๊ธฐ๊ด€์žฅ๋“ค์ด ๊ฐœ์ธ์ด ๊ฐ€์ง€๊ณ  ์žˆ๋Š” ์ง€์‹๊ณผ ์ •๋ณด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๋…๋‹จ์ ์œผ๋กœ ํŒ๋‹จํ•˜๊ณ  ์ง€์‹œํ•˜๋Š” ๊ฒฝ์˜๋ฐฉ์‹์œผ๋กœ๋Š” ๊ธ‰๋ณ€ํ•˜๋Š” ๊ตญ๋‚ดยท์™ธ ๊ฒฝ์˜ํ™˜๊ฒฝ์— ๋Šฅ๋™์ ์œผ๋กœ ๋Œ€์ฒ˜ํ•  ์ˆ˜ ์—†์œผ๋ฉฐ, ์ •๋ณดํ†ต์‹ ์˜ ๋ฐœ๋‹ฌ๋กœ ์ธํ•ด ์ˆ˜๋งŽ์€ ์–‘์˜ ์ •๋ณด๋“ค์„ ์†Œํ™”ํ•ด ํ•ฉ๋ฆฌ์ ์ธ ์˜์‚ฌ๊ฒฐ์ •์„ ๋‚ด๋ฆฐ๋‹ค๋Š” ๊ฒƒ์€ ๋ถˆ๊ฐ€๋Šฅํ•˜๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ๋งค๋…„ ๊ณต๊ณต๊ธฐ๊ด€์€ ์–ธ๋ก  ๋“ฑ์œผ๋กœ๋ถ€ํ„ฐ ์กฐ์ง๊ตฌ์„ฑ์›์˜ ๋„๋•์  ํ•ด์ด, ๋ฐฉ๋งŒ ๊ฒฝ์˜ ๋“ฑ ๋น„ํšจ์œจ์ ์ธ ๊ฒฝ์˜์— ๋Œ€ํ•ด ์ง€์ ์„ ๋ฐ›์œผ๋ฉฐ, ํšจ์œจ์ ์ธ ๊ณต๊ณต๊ธฐ๊ด€์˜ ์šด์˜ ๋ฐ ๊ด€๋ฆฌ์˜ ํ•„์š”์„ฑ์ด ์ œ๊ธฐ๋˜๋Š” ์ƒํ™ฉ์—์„œ ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ณต๊ณต๊ธฐ๊ด€์˜ ๊ฒฝ์˜ํšจ์œจ์„ฑ ํ–ฅ์ƒ๊ณผ ๋”๋ถˆ์–ด ๊ณต๊ณต๊ธฐ๊ด€์˜ ์„ค๋ฆฝ๋ชฉ์ ์— ๋งž๊ฒŒ ์ง€์†๊ฐ€๋Šฅํ•œ ๊ฒฝ์˜์„ ์˜์œ„ํ•˜๋Š”๋ฐ ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ์ฃผ์š”์–ด : ๊ณต๊ณต๊ธฐ๊ด€, ๋ฆฌ๋”์‹ญ ์œ ํ˜•, ์˜์‚ฌ๊ฒฐ์ • ์œ ํ˜•, ์กฐ์ง์„ฑ๊ณผ ํ•™ ๋ฒˆ : 2011-22256์ œ 1 ์žฅ ์„œ ๋ก  1 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ชฉ์  1 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ๋Œ€์ƒ ๋ฐ ๋ฐฉ๋ฒ• 3 1. ์—ฐ๊ตฌ์˜ ๋Œ€์ƒ 3 2. ์—ฐ๊ตฌ์˜ ๋ฐฉ๋ฒ• 4 ์ œ 2 ์žฅ ์ด๋ก ์  ๋…ผ์˜ ๋ฐ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  6 ์ œ 1 ์ ˆ ๋ฆฌ๋”์‹ญ์— ๊ด€ํ•œ ์ด๋ก  6 1. ๋ฆฌ๋”์‹ญ์˜ ์ •์˜ 6 2. ๋ฆฌ๋”์‹ญ ์—ฐ๊ตฌ์˜ ๋ฐœ์ „ 8 3. ๋ฆฌ๋”์‹ญ์˜ ์œ ํ˜• 12 ์ œ 2 ์ ˆ ์˜์‚ฌ๊ฒฐ์ •์— ๊ด€ํ•œ ์ด๋ก  15 1. ์˜์‚ฌ๊ฒฐ์ •์˜ ์ •์˜ 15 2. ์˜์‚ฌ๊ฒฐ์ •์˜ ์œ ํ˜• 17 ์ œ 3 ์ ˆ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  19 1. ์ตœ๊ณ ๊ด€๋ฆฌ์ž์˜ ๋ฆฌ๋”์‹ญ ์œ ํ˜•์— ๊ด€ํ•œ ์—ฐ๊ตฌ 19 2. ์ตœ๊ณ ๊ด€๋ฆฌ์ž์˜ ์˜์‚ฌ๊ฒฐ์ • ์œ ํ˜•์— ๊ด€ํ•œ ์—ฐ๊ตฌ 26 ์ œ 3 ์žฅ ์—ฐ๊ตฌ์„ค๊ณ„ 28 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ๋ชจํ˜• ๋ฐ ๊ฐ€์„ค์˜ ์„ค์ • 28 1. ์—ฐ๊ตฌ๋ชจํ˜• 28 2. ์—ฐ๊ตฌ๊ฐ€์„ค 30 ์ œ 2 ์ ˆ ๋ณ€์ˆ˜์˜ ์กฐ์ž‘์  ์ •์˜ 33 ์ œ 3 ์ ˆ ์ž๋ฃŒ์ˆ˜์ง‘ ๋ฐ ๋ถ„์„๋ฐฉ๋ฒ• 35 1. ์ž๋ฃŒ์˜ ์ˆ˜์ง‘ 35 2. ์„ค๋ฌธ์ง€ ๊ตฌ์„ฑ 38 3. ๋ถ„์„๋ฐฉ๋ฒ• 41 4. ๋ณ€์ˆ˜์˜ ์ƒ๊ด€๊ด€๊ณ„ ๋ถ„์„ 42 ์ œ 4 ์žฅ ์‹ค์ฆ๋ถ„์„ ๊ฒฐ๊ณผ 43 ์ œ 1 ์ ˆ ๊ธฐ์ˆ ํ†ต๊ณ„ ๋ถ„์„ 43 1. ์ธ๊ตฌํ†ต๊ณ„ํ•™์  ๋ถ„์„ 43 2. ๋ณ€์ˆ˜์˜ ํƒ€๋‹น์„ฑ ๋ฐ ์‹ ๋ขฐ์„ฑ ๋ถ„์„ 45 3. ๊ณต๊ณต๊ธฐ๊ด€ ์œ ํ˜•์— ๋”ฐ๋ฅธ ๋ฆฌ๋”์‹ญ๊ณผ ์˜์‚ฌ๊ฒฐ์ • ์œ ํ˜• ๋ถ„์„ 50 ์ œ 2 ์ ˆ ๊ฐ€์„ค์˜ ๊ฒ€์ฆ 53 1. ๋ฆฌ๋”์‹ญ ์œ ํ˜•๊ณผ ์กฐ์ง์„ฑ๊ณผ 53 2. ์˜์‚ฌ๊ฒฐ์ • ์œ ํ˜•๊ณผ ์กฐ์ง์„ฑ๊ณผ 56 3. ์—ฐ๊ตฌ๊ฒฐ๊ณผ์˜ ์ข…ํ•ฉ์  ๋…ผ์˜ 58 ์ œ 5 ์žฅ ๊ฒฐ๋ก  61 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ๊ฒฐ๊ณผ ์š”์•ฝ ๋ฐ ์ •์ฑ…์  ์‹œ์‚ฌ์  61 1. ์—ฐ๊ตฌ๊ฒฐ๊ณผ ์š”์•ฝ 61 2. ์ •์ฑ…์  ์‹œ์‚ฌ์  62 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ๋ฐฉํ–ฅ 64 ์ฐธ๊ณ ๋ฌธํ—Œ 66 ์„ค๋ฌธ์ง€ 72 Abstract 76Maste

    ํ™•์‚ฐ๋ชจํ˜•์—์„œ ์ž”์ฐจํ™•๋ฅ ๊ณผ์ •์— ๋Œ€ํ•œ ๋ชจ์˜์‹คํ—˜

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    Thesis(master`s)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :ํ†ต๊ณ„ํ•™๊ณผ,2005.Maste

    Unbiased adaptive IIR filtering based on monic normalization

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    Docto

    QoE๋ฅผ ๊ณ ๋ คํ•œ ๋ฌด์„  ๋‹ค์ค‘ ๊ฒฝ๋กœ ๊ธฐ๋ฐ˜ ์ธํ„ฐ๋ ‰ํ‹ฐ๋ธŒ ๋ Œ๋”๋ง ์ŠคํŠธ๋ฆฌ๋ฐ ์‹œ์Šคํ…œ

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    MasterIn this thesis, we propose a rendering adaptation technique, which can dynamically vary graphic rendering streaming depending on the network condition. In this approach, a rendering factor is changed to minimize user experience artifacts, while considering heterogeneous wireless networks. We analyze the impairment of rendering factor on 3D games, and to guarantee user QoE(Quality of Experience). We combine the rendering impairments with distortion due to encoding factor like bit rate and bandwidth. We improve mobile cloud service QoE which can characterize simultaneous effects of graphic rendering and encoding for cloud service
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