7 research outputs found

    An Analysis of Correlation between Quantified Tone of north Korean Media and Economic Variables: Focusing on Kim Jong-Un Era

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    ๋ณธ ๋…ผ๋ฌธ์€ 2019๋…„ 12์›” 19์ผ์— ์ธ์ค€๋œ ๋ฐฑ์Šนํ—Œ์˜ ์„œ์šธ๋Œ€ํ•™๊ต ๊ฒฝ์ œํ•™ ์„์‚ฌ ํ•™์œ„๋…ผ๋ฌธ์„ ๋ฐœ์ทŒ ยท์ •๋ฆฌ ยท ๋ณด์™„ํ•œ ๊ฒƒ์ด๋‹ค.๋ณธ ์—ฐ๊ตฌ๋Š” 2009๋…„ 1์›” 1์ผ๋ถ€ํ„ฐ 2019๋…„ 9์›” 16์ผ๊นŒ์ง€ ๊น€์ •์€ ์‹œ๊ธฐ์˜ ๋ถํ•œ ๋‹น๊ตญ์ด ๋Œ€ํ•œ๋ฏผ๊ตญ๊ณผ ์™ธ๊ตญ์„ ๋Œ€์ƒ์œผ๋กœ ๋‚ด๋†“์€ ๊ณต๊ฐœ ๋ฐœํ‘œ๋ฌธ์˜ ๋…ผ์กฐ๋ฅผ ์ธก์ •ํ•˜๋Š” ์ง€ํ‘œ๋ฅผ ๊ตฌ์„ฑํ•œ๋‹ค. ์ฆ‰, ๋ถํ•œ ๋‹น๊ตญ์˜ ๋Œ€๋‚จ ยท ๋Œ€์™ธ ๋ฐœํ‘œ๋ฌธ ์† ๋…ผ์กฐ๊ฐ€ ์–ผ๋งˆ๋‚˜ ๊ณผ๊ฒฉํ•˜๊ฑฐ๋‚˜ ์˜จ๊ฑดํ•œ์ง€๋ฅผ ์ˆ˜๋Ÿ‰ํ™”ํ•˜์—ฌ ์›”๋ณ„ ์‹œ๊ณ„์—ด ์ž๋ฃŒ๋ฅผ ๊ตฌ์ถ•ํ•œ๋‹ค. ๋‚˜์•„๊ฐ€ ์ด๋ ‡๊ฒŒ ๊ตฌ์ถ•ํ•œ ๋ถํ•œ ๋งค์ฒด ๋…ผ์กฐ ์ง€ํ‘œ๊ฐ€ ๋ถํ•œ๊ฒฝ์ œ ์ฃผ์š” ๋ณ€์ˆ˜์™€ ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ์žˆ๋Š”์ง€ ๊ฒ€ํ† ํ•œ๋‹ค. ๊ทธ ๊ฒฐ๊ณผ, ๊ตญ์ œ ์ฒ ๊ด‘์„ ๊ฐ€๊ฒฉ ์™ธ์—๋Š” ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” ๊ฒฝ์ œ ๋ณ€์ˆ˜๋ฅผ ์•„์ง์€ ๋Œ€์ฒด๋กœ ๋ฐœ๊ฒฌํ•˜๊ธฐ ์–ด๋ ต๋‹ค๋Š” ๊ฒฐ๋ก ์— ๋„๋‹ฌํ•œ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋Š” ๋ถํ•œ์˜ ์ •์น˜ ๋ถ€๋ฌธ๊ณผ ๊ฒฝ์ œ ๋ถ€๋ฌธ ์‚ฌ์ด์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ์–‘์  ๋ฐฉ๋ฒ•๋ก ์œผ๋กœ ๋ถ„์„ํ•  ์ˆ˜ ์žˆ์Œ์„ ์‹œ์‚ฌํ•œ๋‹ค.The research constructs an index to measure the tone of public statements made by the north Korean regime toward both Republic of Korea and foreign countries from January of 2009 to September 16th of 2019. In other words, a time series data for each month were quantified to measure how hawkish or dovish the tone of public statements north Korea published are. Furthermore, the study examines whether there is any correlation between the pattern of the indexed tone of north Koreas politically controlled media statements and the pattern of variables related to its economy. As the result, it is concluded that economic variables that represent statistically significant correlation, other than international iron ore prices, are yet hard to be detected. The implication of the research is that the correlation between the north Korean regimes political decision-making and economic decision-making or economic reality can be analyzed by quantitative research methods

    ์˜๋“ฑํฌ๋™4๊ฐ€ ์ผ๋Œ€๋ฅผ ์ค‘์‹ฌ์œผ๋กœ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ํ™˜๊ฒฝ์กฐ๊ฒฝํ•™๊ณผ, 2012. 2. ํ™ฉ๊ธฐ์›.ํ•œ๊ตญ์ „์Ÿ์„ ๊ฑฐ์น˜๋ฉด์„œ ๊ธ‰๊ฒฉํ•œ ์ธ๊ตฌ๋ณ€๋™๊ณผ ๋„์‹œํ™”๋Š” ์‚ฌ๋žŒ๋“ค์˜ ์ผ์ƒ์ƒํ™œ์„ ๋ฐ”๊พธ์–ด๋‚˜๊ฐ”๋‹ค. ์›”๋‚จ๋ฏผ๋“ค์ด ๋„์‹œ ๊ณณ๊ณณ์„ ๋ˆ„๋น„๋ฉด์„œ ๋„์‹œ์ธ๊ตฌ๊ฐ€ ๊ธฐํ•˜๊ธ‰์ˆ˜์ ์œผ๋กœ ๋Š˜์—ˆ๋‹ค. ์—ฌ๊ธฐ์— 1962๋…„ ๊ฒฝ์ œ๊ฐœ๋ฐœ5๊ฐœ๋…„๊ณ„ํš ๋“ฑ์„ ๊ฑฐ์น˜๋ฉด์„œ ๋„์‹œ์ธ๊ตฌ์˜ ์ฆ๊ฐ€, ๋„์‹œ ๊ทœ๋ชจ์˜ ๊ธฐํ˜•์  ํ™•๋Œ€๊ฐ€ ๋”ํ•ด์ง€๋ฉด์„œ ๋ฌด์งˆ์„œํ•œ ํ˜•ํƒœ๋กœ ์ž๋ฆฌ๋ฅผ ์žก๊ฒŒ ๋˜์—ˆ๋‹ค. ์‚ฐ์—…ํ˜๋ช… ์ดํ›„ ์‚ฐ์—…ํ™” ๋ฐ ๋„์‹ฌํ™”์˜ ๊ณ ๋„์„ฑ์žฅ์œผ๋กœ ์ธํ•ด ๊ณผ์ž‰ ๋„์‹œํ™”๊ฐ€ ๋˜์—ˆ์œผ๋ฉฐ ๋„์‹ฌ์˜ ๊ธฐ๋Šฅ์€ ์ ์ฐจ ๋„ํƒœ๋˜์–ด ๊ฐ”๋‹ค. ๋ฌด๋ถ„๋ณ„ํ•œ ๋„์‹œํ™•์žฅ์œผ๋กœ ์ธํ•œ ์ธ๊ตฌ ์ง‘์ค‘๊ณผ ๋”๋ถˆ์–ด ํƒ์ง€์˜ ์ˆ˜์š”๋„ ๊ฐ™์ด ๊ธ‰์ฆํ•˜๊ฒŒ ๋˜์—ˆ๋‹ค. ๊ฒฐ๊ณผ์ ์œผ๋กœ ๋„์‹œ์˜ ๊ฑฐ๋Œ€ํ™”๋Š” ๋„์‹œ ๋‚ด๋ถ€์˜ ๋…น์ง€ ๊ณต๊ฐ„์„ ํ„ฑ์—†์ด ๋ถ€์กฑํ•˜๊ฒŒ ๋งŒ๋“ค์—ˆ์œผ๋ฉฐ, ์˜ค๋Š˜๋‚  ๋„์‹œ์˜ ํ™˜๊ฒฝ์˜ค์—ผ ๋ฟ ๋งŒ ์•„๋‹ˆ๋ผ ์ง€๊ตฌ์ „์ฒด์— ์ง€๊ตฌ์˜จ๋‚œํ™”๋ผ๋Š” ๋ฌธ์ œ๋กœ ๋ฐœ์ „ ๋˜์–ด ์™”๋‹ค. ์ตœ๊ทผ ๋“ค์–ด ๋งŽ์€ ๋„์‹œ๋“ค์€ ์ €๊ฐœ๋ฐœ์ง€์—ญ์„ ๋Œ€์ƒ์œผ๋กœ ์žฌ๊ฐœ๋ฐœ์„ ์ง„ํ–‰ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ ์ด๋Ÿฌํ•œ ์ง€์—ญ์€ ๊ณต์› ๋ฐ ์ƒ์—…์‹œ์„ค์ด ํ˜ผํ•ฉ๋œ ๋ณตํ•ฉ์šฉ๋„๊ฐœ๋ฐœ ์ง€์—ญ์œผ๋กœ ๋ณ€ํ™”๋˜๊ณ  ์žˆ๋‹ค. ์ฃผ๋ณ€์— ์ƒ๋‹นํžˆ ๋งŽ์€ ๊ณต์›์ด ์žˆ์Œ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ๋Œ€๋ถ€๋ถ„์˜ ๋„์‹œ๊ณต์›์€ ๋‚™ํ›„๋˜์–ด ์žˆ๊ณ  ์–ด๋–ค ๋šœ๋ ทํ•œ ์ฝ˜ํ…์ธ  ๋ฐ ์‹œ์„ค๋“ค์ด ์—†์–ด ๋งŽ์€ ์‚ฌ๋žŒ๋“ค๋กœ๋ถ€ํ„ฐ ์™ธ๋ฉด ๋ฐ›๊ณ  ์žˆ๋Š” ์‹ค์ •์ด๋‹ค. ์„œ์šธ์‹œ์—๋Š” ์ˆ˜์ฒœ๊ฐœ์˜ ๊ณต์›๋“ค์ด ์žˆ์ง€๋งŒ ๋ช…๋ชฉ์ƒ ์ผ๋ฟ, ๋Œ€๋ถ€๋ถ„์˜ ๊ณต์›๋“ค์€ ์ž‘๊ณ  ์‹œ์„ค๋“ค์ด ๋‚™ํ›„ ๋˜์–ด์žˆ์–ด ์ด์šฉ๊ฐ๋“ค์˜ ๋ฐœ๊ฑธ์Œ์„ ๋Œ๋ฆฌ๊ณ  ์žˆ๋‹ค. ๋˜ํ•œ ์™ธ๋ถ€์ธ์€ ๋ฌผ๋ก  ์ง€์—ญ์ฃผ๋ฏผ๋“ค์กฐ์ฐจ ๊ทผ๋ฆฐ๊ณต์›์˜ ์ด์šฉํšŸ์ˆ˜๊ฐ€ ์ค„๊ณ  ์žˆ๋Š” ์‹ค์ •์ด๋‹ค. ์ผ์ƒ์ƒํ™œ์—์„œ ์ž์ฃผ ์ ‘ํ•  ์ˆ˜ ์žˆ๋Š” ์˜คํ”ˆ์ŠคํŽ˜์ด์Šค๋Š” ๋‹จ์ˆœํžˆ ๋…น์ง€๋กœ์„œ๋งŒ ์กด์žฌํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ๋„์‹œ ๊ณต์›๋ฒ•์— ๋”ฐ๋ผ ์„ค์น˜ํ•˜๋„๋ก ์ •ํ•ด ๋†“์€ ์‹œ์„ค๋“ค์— ์˜ํ•ด ์ฒœํŽธ์ผ๋ฅ ์ ์ธ ํ˜•ํƒœ๋กœ ๊ณ„ํš ๋ฐ ์„ค๊ณ„๋˜์–ด ์‹ฌ๊ฐํ•œ ๋ฌธ์ œ์ ์„ ๋‚˜ํƒ€๋‚ด๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ๋ฏธ๊ตญ ๋‰ด์š•์— ์œ„์น˜ํ•œ Hester Street Playground at SDR Park๋‚˜, Gulick Park๋‚˜ ์ฒ˜์Œ ๊ณ„ํš๋‹จ๊ณ„๋ถ€ํ„ฐ ์ง€์—ญ์ฃผ๋ฏผ์ด ์ง์ ‘ ์ฐธ์—ฌํ•˜์—ฌ ์™„๊ณต ์ดํ›„์—๋„ ์ง์ ‘ ๊ณต์›์„ ๊ด€๋ฆฌํ•˜๋ฉฐ ์ง€์—ญ์ฃผ๋ฏผ์˜ ์‚ถ์„ ๋‹ด์•„ ๋…ํŠนํ•˜๊ณ  ๋‹ค์–‘ํ•œ ๋ฌธํ™”์  ์ฝ˜ํ…์ธ ๋ฅผ ๊ฐ–์ถ”๊ณ  ์žˆ์–ด, ๋งŽ์€ ๋ฐฉ๋ฌธ๊ฐ๊ณผ ์ง€์—ญ์„ ๋Œ€ํ‘œํ•˜๋Š” ๊ณต์›์ด ๋˜์—ˆ๋‹ค. ์ฃผ๋ณ€๋งŒ์œผ๋กœ ๋ฒ”์œ„๋ฅผ ํ•œ์ •ํ•˜๋Š” ๋…น์ง€์‹œ์„ค์ด ์•„๋‹Œ, ์ง€์—ญ์ฃผ๋ฏผ์˜ ์ž๋ฐœ์ ์ธ ์ฐธ์—ฌ๋กœ ๋‹ค์–‘ํ•œ ์ฝ˜ํ…์ธ ์™€ ๊ฐ€๋ณ€์  ์„ฑ๊ฒฉ์„ ๋ค ํœด์‹๊ณผ ๋ ˆํฌ๋ ˆ์ด์…˜ ์žฅ์†Œ๋กœ์จ ๋„์‹œ๊ทผ๋ฆฐ๊ณต์›์— ๋Œ€ํ•œ ์ƒˆ๋กœ์šด ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•œ ๋•Œ์ด๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ๋Š” ๋Œ€์ƒ์ง€ ์ฃผ๋ณ€์˜ ํŠน์„ฑ๊ณผ ์ง€์—ญ์ฃผ๋ฏผ์˜ ์‚ถ๊ณผ ์ด์•ผ๊ธฐ๋ฅผ ์ „์ œ๋กœ ์ƒˆ๋กœ์šด ๊ฐœ๋…์˜ ๋„์‹œ๊ทผ๋ฆฐ๊ณต์›์„ ์ œ์‹œ ํ•  ๊ฒƒ์ด๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์˜๋“ฑํฌ๊ตฌ ๋ถ€๋„์‹ฌ์˜ ์˜๋“ฑํฌ๋™4๊ฐ€ (ํ™๋“ฑ๊ฐ€, ์ชฝ๋ฐฉ์ดŒ ์ง€์—ญ)๋ฅผ ๋Œ€์ƒ์ง€๋กœ ์„ ์ •ํ•˜์—ฌ ์ง„ํ–‰ ํ•  ๊ฒƒ์ด๋‹ค. ๋Œ€์ƒ์ง€์ธ ์˜๋“ฑํฌ๋Š” ํ•œ๊ตญ ์ตœ๋Œ€์˜ ๊ณต์—…์ง€๋Œ€์ธ ๊ฒฝ์ธ๊ณต์—…์ง€๋Œ€์˜ ํ•ต์‹ฌ์„ ์ด๋ฃจ๊ณ  ์žˆ์–ด ๊ตฌ ์ „์ฒด๊ฐ€ ๊ณต์—…์ง€๋Œ€๋กœ์„œ์˜ ๊ฒฝ๊ด€์„ ๋ณด์—ฌ์ฃผ๊ณ  ์žˆ๋‹ค. ๋˜ํ•œ ์ƒ์—…์ง€๊ตฌ๋ฅผ ํ˜•์„ฑํ•˜์—ฌ ์„œ์šธ ์ตœ๋Œ€์˜ ๋ถ€๋„์‹ฌ์„ ์ด๋ฃจ๊ณ  ์žˆ๋Š” ์ง€์—ญ์ด๊ธฐ์— ํ’๋ถ€ํ•œ ์‹œ์„ค๋“ค์ด ๊ฐ–์ถ”์–ด์ ธ ์žˆ์ง€๋งŒ, ๋…ธํ›„ํ™”๋œ ์ฃผํƒ ๋ฐ ์ƒ์—…์‹œ์„ค, ๋‚™ํ›„๋œ ๋„์‹œ๊ณต์› ์‹œ์„ค๋“ค์— ์˜ํ•ด ์ง€์—ญ์ฃผ๋ฏผ ๋ฐ ์ด์šฉ๊ฐ๋“ค์˜ ๊ณต์› ์ด์šฉ์ด ์ž˜ ์ด๋ฃจ์–ด์ง€์ง€ ์•Š๊ณ  ์žˆ๋Š” ์ƒํ™ฉ์ด๋‹ค. ๋”๋ถˆ์–ด ๋Œ€์ƒ์ง€๋Š” ํ•˜๋ฃจ ํ‰๊ท  21๋งŒ๋ช…์ด ์ฐพ์€ ์„œ์šธ ์ตœ๋Œ€ ๋ณตํ•ฉ์‡ผํ•‘๋ชฐ ํƒ€์ž„์Šคํ€˜์–ด๊ฐ€ ์˜†์— ์œ„์น˜ํ•ด ์žˆ์–ด ๋งŽ์€ ์œ ๋™์ธ๊ตฌ๊ฐ€ ์žˆ๋‹ค. ํ˜„์žฌ ๋Œ€์ƒ์ง€ ์ฃผ๋ณ€์€ ์ง‘์ฐฝ์ดŒ์— ์˜ํ•ด ์ฃผ๋ณ€ ์ƒ์—…์‹œ์„ค๊ณผ์˜ ์†Œํ†ต์„ ๋‹จ์ ˆํ•˜๋Š” ์š”์ธ์ด ๋˜๊ณ  ์žˆ์œผ๋ฉฐ ์ง€์—ญ ํ™œ์„ฑํ™”๋ฅผ ์ €ํ•ดํ•˜๊ณ  ์žˆ๋Š” ์‹ค์ •์ด๋‹ค. ๋”ฐ๋ผ์„œ ์‹ค์ œ ์ง€์—ญ์ฃผ๋ฏผ ๋ฐ ์ด์šฉ์ž๋“ค์˜ ์š”๊ตฌ๋„ ๋ฐ ์ด์šฉ ํ–‰ํƒœ๋ถ„์„์„ ํ†ตํ•ด ์—ฌ๋Ÿฌ ์ž ์žฌ ์š”์†Œ๋ฅผ ์ง€๋‹ˆ๊ณ  ์žˆ๋Š” ๋Œ€์ƒ์ง€์— ๋„์‹œ๊ทผ๋ฆฐ๊ณต์›์„ ๋„์ž… ํ•  ๊ฒƒ์ด๋‹ค. ๋˜ํ•œ ์˜๋“ฑํฌ๋™4๊ฐ€์˜ ๋„์‹œ๊ทผ๋ฆฐ๊ณต์›์œผ๋กœ์จ ๋‹ค์–‘ํ•œ ๊ธฐ๋Šฅ์„ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ๋Š” ๊ณ„ํš ๋ฐฉํ–ฅ์„ ์ œ์‹œํ•˜๋Š”๋ฐ ๊ทธ ๋ชฉ์ ์ด ์žˆ๋‹ค. ๋ณธ ์„ค๊ณ„์˜ ์ปจ์…‰์€ ๋‚™ํ›„๋œ ์‹œ์„ค๊ณผ ์ง‘์ฐฝ์ดŒ์˜ ํ˜„์กด์— ์˜ํ•ด ํ์‡„์ ์ด๊ณ  ๋‹จ์ ˆ๋˜์–ด ์žˆ๋Š” ๋ถ€์ง€๋ฅผ ํƒˆ๋ฐ”๊ฟˆ ํ•˜์—ฌ ์ง€์—ญ์ฃผ๋ฏผ ๋ฐ ์ด์šฉ๊ฐ๋“ค์—๊ฒŒ ์ƒํ™˜ํ•˜๊ณ  ๋‹ค์–‘ํ•œ ์ฝ˜ํ…์ธ ๋ฅผ ๋„์ž…ํ•จ๊ณผ ๋™์‹œ์— ์ง€์—ญ์ฃผ๋ฏผ์— ์˜ํ•ด ์ง€์—ญ ํŠน์„ฑ์— ๋งž๋Š” ์˜คํ”ˆ์ŠคํŽ˜์ด์Šค๋กœ์จ์˜ ์—ญํ• ์„ ํ•˜๊ฒŒ ๋  ๊ฒƒ์ด๋‹ค. ๋˜ํ•œ ์ง€์—ญ์˜ ํŠน์„ฑ์„ ๊ณ ๋ คํ•ด ์ง€์—ญ์˜ ์•„ํ””๊ณผ ์ƒ์ฒ˜๋ฅผ ์น˜์œ ํ•  ์ˆ˜ ์žˆ๋Š” ๊ณต๊ฐ„์„ ์ œ๊ณตํ•ด ํšŒ์ƒํ•˜๊ณ  ๊ธฐ์–ตํ•  ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ๋„์‹œ๊ทผ๋ฆฐ๊ณต์›์˜ ํŒจ๋Ÿฌ๋‹ค์ž„์„ ์ œ์‹œํ•œ๋‹ค.Maste

    ํ˜ผํ•ฉ ์‹ ํ˜ธ ๊ตฌ๋™์„ ํฌํ•จํ•œ ์‹ ๊ฒฝ๋ง ์—ฐ์‚ฐ ์š”์†Œ ์–ด๋ ˆ์ด์˜ ์„ค๊ณ„

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ •๋ณด๊ณตํ•™๋ถ€, 2022. 8. ๊น€์žฌํ•˜.๋ณธ ํ•™์œ„ ๋…ผ๋ฌธ์€ ํ˜ผํ•ฉ ์‹ ํ˜ธ ์—ฐ์‚ฐ์„ ํ™œ์šฉํ•˜์—ฌ ์‹ฌ์ธต์‹ ๊ฒฝ๋ง ์—ฐ์‚ฐ๊ธฐ ํ•˜๋“œ์›จ์–ด์˜ ์ •ํ™•๋„ ํ•˜๋ฝ๊ณผ ์—๋„ˆ์ง€ ์†Œ๋ชจ ์ฆ๊ฐ€๋ฅผ ์™„ํ™”ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•œ๋‹ค. ์ œ์•ˆํ•˜๋Š” ํ•˜๋“œ์›จ์–ด ๊ตฌ์กฐ๋Š” 16ร—16 ํ˜ผํ•ฉ ์‹ ํ˜ธ ์—ฐ์‚ฐ ์œ ๋‹› ์–ด๋ ˆ์ด๋ฅผ ํฌํ•จํ•˜๋ฉฐ, ์‹ฌ์ธต์‹ ๊ฒฝ๋ง ์ •ํ™•๋„์— ํฐ ์˜ํ–ฅ์„ ์ฃผ๋Š” ์ž…๋ ฅ์˜ ์•ž ๋„ค ์ž๋ฆฌ๋ฅผ ๋””์ง€ํ„ธ ์—ฐ์‚ฐ์œผ๋กœ ๊ตฌํ˜„ํ•˜๊ณ  ์ž์ฃผ ๋ฐœ์ƒํ•ด ์—๋„ˆ์ง€ ์†Œ๋ชจ๊ฐ€ ํฐ ๋’ค ๋‹ค์„ฏ ์ž๋ฆฌ๋ฅผ ์•„๋‚ ๋กœ๊ทธ ์—ฐ์‚ฐ์œผ๋กœ ๊ตฌํ˜„ํ•˜์—ฌ ์ž…๋ ฅ ์ž๋ฆฟ์ˆ˜์— ๋”ฐ๋ผ ๋ถˆํ•„์š”ํ•˜๊ฒŒ ์†Œ๋ชจํ•˜๋Š” ์—๋„ˆ์ง€๋ฅผ ์ค„์ด๋ฉฐ ๋†’์€ ์‹ฌ์ธต์‹ ๊ฒฝ๋ง ์ •ํ™•๋„๋ฅผ ์œ ์ง€ํ•  ์ˆ˜ ์žˆ๋‹ค. ์ œ์•ˆํ•˜๋Š” ํ˜ผํ•ฉ ์‹ ํ˜ธ ์—ฐ์‚ฐ ์œ ๋‹›์€ ๊ฐ€์ค‘์น˜์˜ ๋น„ํŠธ๋ฅผ ์ง๋ ฌ๋กœ ์—ฐ์‚ฐํ•˜์—ฌ ๋‹ค์–‘ํ•œ ๊ฐ€์ค‘์น˜ ์ž๋ฆฟ์ˆ˜ ์—ฐ์‚ฐ์„ ์ง€์›ํ•œ๋‹ค. ๋˜, ์ถœ๋ ฅ์˜ ์ž๋ฆฟ์ˆ˜๋ฅผ ๊ณ ์ •ํ•˜๊ณ  ๊ฐ€์ค‘์น˜ ์ž๋ฆฟ์ˆ˜ ๋ณ„๋กœ 2๋น„ํŠธ์”ฉ๋งŒ ์•„๋‚ ๋กœ๊ทธ-๋””์ง€ํ„ธ ๋ณ€ํ™˜์„ ์ˆ˜ํ–‰ํ•˜์—ฌ ๊ฐ€์ค‘์น˜ ์ž๋ฆฟ์ˆ˜์™€ ๊ด€๊ณ„์—†์ด ๋™์ผํ•œ ๋ณ€ํ™˜ ์ˆ˜๋ฅผ ์œ ์ง€ํ•  ์ˆ˜ ์žˆ๋Š” ์ฃผ๊ธฐ ์—ฐ์‚ฐ ๋ฐฉ์‹๋„ ์ œ์•ˆํ•˜์˜€๋‹ค. ์ œ์•ˆํ•œ ํ•˜๋“œ์›จ์–ด์˜ ์œ ํšจ์„ฑ์€ 28nm CMOS ๊ณต์ •์œผ๋กœ ์ œ์ž‘ํ•œ ํ”„๋กœํ† ํƒ€์ž… IC๊ณผ Xilinx Kintex-7 FPGA KC705 ๋ณด๋“œ๋ฅผ ํฌํ•จํ•˜๋Š” ์ธก์ • ํ™˜๊ฒฝ์—์„œ ์–ป์€ ์ธก์ • ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด ๊ฒ€์ฆ๋˜์—ˆ์œผ๋ฉฐ, IC์˜ ์„ค๊ณ„ ๊ณผ์ •์€ ์„ธ ๊ฐ€์ง€ ์‹œ๋ฎฌ๋ ˆ์ดํ„ฐ๋ฅผ ์กฐํ•ฉํ•˜์—ฌ ์˜ˆ์ œ ๋‹จ์œ„์˜ ์ˆ˜๋งŽ์€ ์—ฐ์‚ฐ์„ ๋น ๋ฅด๊ณ  ์ •ํ™•ํ•˜๊ฒŒ ์ฒ˜๋ฆฌํ•  ์ˆ˜ ์žˆ๋Š” ๊ฒ€์ฆ ํ™˜๊ฒฝ์„ ํ†ตํ•ด ๊ฒ€์ฆ๋˜์—ˆ๋‹ค. ๊ฒ€์ฆ์—๋Š” 4-layer MNIST CNN, 5-layer CIFAR-10 CNN, 7-layer CIFAR-100 CNN์ด ์‚ฌ์šฉ๋˜์—ˆ๋‹ค. ๋ณ„๋„๋กœ ์ œ์•ˆ๋œ ๊ฒฝ์‚ฌํ•˜๊ฐ•๋ฒ•์„ ํ™œ์šฉํ•œ ์–ด๋ ˆ์ด ์บ˜๋ฆฌ๋ธŒ๋ ˆ์ด์…˜ ๋ฐฉ์‹์„ ์ ์šฉํ•˜์—ฌ ํ”„๋กœํ† ํƒ€์ž… IC ์ƒ์—์„œ์˜ ์˜ˆ์ œ CNN์˜ ์ •ํ™•๋„๋ฅผ ์ธก์ •ํ•˜์˜€์„ ๋•Œ, -0.42~0.33%p์˜ MNIST/CIFAR-10 ์˜ˆ์ œ์˜ ์ž‘์€ ์ •ํ™•๋„ ๋ณ€ํ™”๋ฅผ ๊ธฐ๋กํ•˜์˜€๋‹ค. ๊ฐ ์‹ฌ์ธต์‹ ๊ฒฝ๋ง ๋ ˆ์ด์–ด ๋ณ„ ์—๋„ˆ์ง€ ์†Œ๋ชจ๋Š” ๋ชจ๋“  ์—ฐ์‚ฐ์„ ๋””์ง€ํ„ธ๋กœ ์ˆ˜ํ–‰ํ•œ ๋“ฑ๊ฐ€ ์ƒํ™ฉ๊ณผ ๋น„๊ตํ•˜์˜€์„ ๋•Œ 20.4~46.1%๋งŒํผ ์ค„์–ด๋“ค์—ˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค.This work presents a method to mitigate deep neural network (DNN) accuracy drop and energy consumption increase of DNN accelerator hardware by utilizing mixed-signal operations. The proposed accelerator includes an array of 16ร—16 mixed-signal processing elements (MPEs), which implements signed upper 4-bit of a signed 9-bit input that significantly influences a DNN accuracy with digital operations, and latter unsigned 5-bit that frequently appears with energy-efficient analog operations. The proposed MPE array supports weight precision from signed 1-bit to 9-bit in a bit-serial manner. In addition, this dissertation proposes a cyclic multiply-accumulate scheme that fixes an output precision and performs analog-to-digital conversion by only 2 bits for each cycle to maintain the number of analog-to-digital converted bits regardless of the weight precision. The efficacy of the proposed accelerator was verified by results obtained from the measurement environment, including a prototype IC fabricated with a 28nm CMOS process and a Xilinx Kintex-7 FPGA KC705 board. The simulations for IC design steps were performed in a verification environment that could quickly and accurately process numerous calculations in DNN examples by combining three-level simulators. A 4-layer MNIST CNN, a 5-layer CIFAR-10 CNN, and a 7-layer CIFAR-100 CNN were used for simulations and tests. The accuracy of the example CNNs on a prototype IC was measured by applying the MPE array calibration method using the gradient descent optimization technique, and tiny MNIST/CIFAR-10 CNN accuracy changes of -0.42~0.33%p was recorded. The energy consumption for each DNN layer decreased by 20.4-46.1% compared to the equivalent case with all digital computations.CHAPTER 1 INTRODUCTION 1 1.1 MOTIVATION 1 1.2 THESIS CONTRIBUTION AND ORGANIZATION 7 CHAPTER 2 NEURAL NETWORK ACCELERATOR WITH MIXED-SIGNAL PROCESSING ELEMENT ARRAY 9 2.1 TOP ARCHITECTURE 9 2.2 MIXED-SIGNAL MAC REALIZATION ON AN MPE ARRAY ARCHITECTURE 12 2.3 CYCLIC MAC SCHEME WITH BIT-SERIAL OPERATION 17 2.4 REALIZATION OF DNN LAYERS ON AN MPE ARRAY 21 CHAPTER 3 ARRAY CALIBRATION SCHEME WITH GRADIENT DESCENT OPTIMIZATION 24 3.1 GRADIENT DESCENT OPTIMIZATION 24 3.2 CALIBRATION SCHEME 26 3.3 SIMULATION RESULTS 29 CHAPTER 4 IMPLEMENTATION OF A COMPUTATION CORE AND TEST LOGICS 33 4.1 MIXED-SIGNAL PROCESSING ELEMENT 33 4.2 DIGITAL PULSE-WIDTH MODULATOR 40 4.3 CYCLIC MAC UNIT 43 4.4 TEST LOGICS 48 CHAPTER 5 VERIFICATION ENVIRONMENT FOR THE IC DESIGN STEP 55 5.1 VERIFICATION ENVIRONMENT WITH THREE TYPES OF SIMULATORS 55 5.2 VERIFICATION FOR DNN EXAMPLES WITH SYSTEM-LEVEL SIMULATIONS 58 5.3 VERIFICATION FOR DNN EXAMPLES WITH DNN-LEVEL SIMULATIONS 68 CHAPTER 6 MEASUREMENT RESULTS OF PROPOSED NEURAL NETWORK ACCELERATOR IC 75 6.1 MEASUREMENT ENVIRONMENT AND PROTOTYPE IC 75 6.2 MEASUREMENT RESULTS 80 CHAPTER 7 CONCLUSION 91 BIBLIOGRAPHY 93 ์ดˆ ๋ก 96๋ฐ•

    ์‹œโ€ค๊ตฐ-์ถฉ๋‚จ์—ฐ๊ตฌ์› ๋ฏธ๋ž˜์ •์ฑ…๋ฐœ๊ตด ์›Œํฌ์ˆ(CNI์„ธ๋ฏธ๋‚˜2019-063)

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    1. ์—ฐ๊ตฌ์› ํ˜„ํ™ฉ ๋ฐ 2019๋…„ ์ฃผ์š” ์ถ”์ง„ ๋‚ด์šฉ 2. ์‹œ๊ตฐ์ •์ฑ…ํ˜‘๋ ฅ๋‹จ ์†Œ๊ฐœ ๋ฐ ๊ทธ๊ฐ„ ์ถ”์ง„์‚ฌํ•ญ1. ์—ฐ๊ตฌ์› ํ˜„ํ™ฉ ๋ฐ 2019๋…„ ์ฃผ์š” ์ถ”์ง„ ๋‚ด์šฉ 2. ์‹œ๊ตฐ์ •์ฑ…ํ˜‘๋ ฅ๋‹จ ์†Œ๊ฐœ ๋ฐ ๊ทธ๊ฐ„ ์ถ”์ง„์‚ฌ
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