86 research outputs found

    Task-specific and Measure-dependent Influence of Working Memory in Korean College Students English Wh-question Processing

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    ์ž‘์—…๊ธฐ์–ต(working memory)์ด ๋ณต์žกํ•œ ์ธ์ง€ ๊ณผ์ œ ์ˆ˜ํ–‰์—์„œ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ง€๋ฉด์„œ ๊ทธ ์–ด๋–ค ๊ณผ์ œ๋ณด๋‹ค ๋ณต์žกํ•œ ์ธ์ง€ ๊ณผ์ •์„ ์š”ํ•˜๋Š” ์ œ2์–ธ์–ด์Šต๋“์— ์žˆ์–ด์„œ ์ž‘์—…๊ธฐ์–ต์ด ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๊ทœ๋ช…ํ•˜๋ ค๋Š” ์—ฐ๊ตฌ๊ฐ€ ํ™œ๋ฐœํžˆ ์ด๋ฃจ์–ด์ ธ ์™”๋‹ค. ์—ฐ๊ตฌ์ž๋“ค์€ ์ œ2์–ธ์–ด์Šต๋“์˜ ๋‹ค์–‘ํ•œ ์˜์—ญ ๊ฐ€์šด๋ฐ์„œ๋„ ํŠนํžˆ ์ œ2์–ธ์–ด ๋ฌธ์žฅ์ฒ˜๋ฆฌ(L2 sentence processing)์— ์žˆ์–ด์„œ์˜ ์ž‘์—…๊ธฐ์–ต์˜ ์—ญํ• ์— ํŠน๋ณ„ํ•œ ๊ด€์‹ฌ์„ ๊ธฐ์šธ์—ฌ ์™”๋‹ค(S Baek, 2013; M-H Choe, 2011; Dussias & Piรฑar, 2010; Felser & Roberts, 2007; Juffs, 2005). ํ•˜๋‚˜์˜ ๋ฌธ์žฅ์„ ์ฝ๊ฑฐ๋‚˜ ๋“ฃ๊ณ  ์ดํ•ดํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์•ž์„œ ์ œ์‹œ๋œ ์ •๋ณด๋ฅผ ์ผ์‹œ์ ์œผ๋กœ ๊ธฐ์–ต์— ์ €์žฅํ•˜๋ฉด์„œ ์ƒˆ๋กญ๊ฒŒ ๋“ค์–ด์˜ค๋Š” ์ •๋ณด์˜ ์˜๋ฏธ์™€ ๊ตฌ์กฐ๋ฅผ ์‹ค์‹œ๊ฐ„์œผ๋กœ ํ•ด์„ํ•ด ๋‚ด๋Š” ๊ณผ์ •์ด ํ•„์š”ํ•œ๋ฐ, ์ด์ฒ˜๋Ÿผ ์ผ์‹œ์ ์ธ ์ •๋ณด ์ €์žฅ๊ณผ ์ •๋ณด ์ฒ˜๋ฆฌ๋ฅผ ๋™์‹œ์— ํ•ด๋‚ด๋Š” ์ธ์ง€๋Šฅ๋ ฅ์ด ๋ฐ”๋กœ ์ž‘์—…๊ธฐ์–ต์ด๋ผ๋Š” ์ ์—์„œ ๋ฌธ์žฅ์ฒ˜๋ฆฌ์™€์˜ ๊ธด๋ฐ€ํ•œ ๊ด€๋ จ์„ฑ์„ ์ง์ž‘ ํ•ด๋ณผ ์ˆ˜ ์žˆ๋‹ค.This study explored the influence of processing task type and working memory measures on the relation between working memory and L2 sentence processing. A total of 48 Korean college EFL learners performed two English wh-question processing tasks (i.e., a grammaticality judgment task and a listening comprehension task) and two working memory tasks (i.e., a conceptual span task and a reading span task). A significant correlation was observed only between a processing component of a reading span task and a listening comprehension task, indicating that the influence of working memory is task-specific and measure-dependent. These results suggest that working memory affects L2 sentence processing only when it matches the cognitive demands of a task

    Sassafras Lowrey, ed. Kicked Out. (Ypsilanti: Homofactus Press, 2010)

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    ์€ ํ˜„์žฌ ํ™ˆ๋ฆฌ์Šค ์ฒญ์†Œ๋…„์ด๊ฑฐ๋‚˜ ๊ณผ๊ฑฐ ํ™ˆ๋ฆฌ์Šค๋กœ ์ƒํ™œํ–ˆ๋˜ ์ฒญ์†Œ๋…„ ์‹œ๊ธฐ์˜ ๊ฒฝํ—˜์„ ์ง€๋‹Œ ๋ฏธ๊ตญ LGBTQ๋“ค์˜ ์ƒ์กด๊ธฐ์ด๋‹ค. ๋™์„ฑ์• ์ž๋ผ๋Š” ์ด์œ ๋กœ ์—ด์ผ๊ณฑ ์‚ด์— ์ง‘์—์„œ ์ซ“๊ฒจ๋‚˜ ์šฐ์—ฌ๊ณก์ ˆ์„ ๊ฒช์œผ๋ฉฐ ์ƒ์กด, ์ž๋ฆฝํ•˜์—ฌ ์ง€๊ธˆ์€ ๋งน๋ ฌํ•œ ์ „๋ฐฉ์œ„์  ํ€ด์–ด ํ™œ๋™๊ฐ€๋กœ ํ™œ์•ฝํ•˜๊ณ  ์žˆ๋Š” ์‚ฌ์‚ฌํ”„๋ผ์Šค ๋กœ์šฐ๋ฆฌ(Sassafras Lowrey)๊ฐ€ ํŽธ์ง‘ํ–ˆ๋‹ค. ๋กœ์šฐ๋ฆฌ ์ž์‹ ์˜ ์ด์•ผ๊ธฐ๋ฅผ ํฌํ•จํ•˜์—ฌ ๋น„์Šทํ•œ ๊ฒฝํ—˜์„ ๊ฑฐ์ณ ์˜จ/๊ฑฐ์ณ ๊ฐ€๊ณ  ์žˆ๋Š” ๋‹ค์–‘ํ•œ ์ด๋“ค์˜ ๊ตฌ์ˆ ๊ณผ ๊ธฐ๋ก์„ ํ•œ ๊ถŒ์˜ ์ฆ์–ธ์ง‘์œผ๋กœ ์†Œ์ค‘ํ•˜๊ฒŒ ๋ชจ์•„ ์—ฎ์—ˆ๋‹ค. 1998๋…„ ๋™์„ฑ์• ์ž ์ฆ์˜ค๋ฒ”์ฃ„(hate crime)์˜ ํ‘œ์ ์ด ๋˜์–ด ์‚ฌ๋งํ•œ ๋’ค, ๋ฏธ๊ตญ ๋‚ด์—์„œ ์„ฑ์ •์ฒด์„ฑ๊ณผ ์„ฑ๋ณ„์ •์ฒด์„ฑ ๋“ฑ์„ ๋งค๊ฐœ๋กœ ํ•œ ์ฆ์˜ค๋ฒ”์ฃ„ ์˜ˆ๋ฐฉ๋ฒ• ์ œ์ •์˜ ์ด‰๋งค๊ฐ€ ๋œ ๊ฒŒ์ด. ๊ณ (ๆ•…) ๋งคํŠœ ์…ฐํผ๋“œ (Matthew Shepard, 1976โ€98)์˜ ์–ด๋จธ๋‹ˆ์ธ ์ฃผ๋”” ์…ฐํผ๋“œ(Judy Shepard)๊ฐ€ ์•„๋“ค์„ ๊ธฐ๋ฆฌ๋Š” ๋งˆ์Œ์œผ๋กœ ๋จธ๋ฆฌ๋ง์„ ์ผ๋‹ค. ๊ทธ๋…€๋Š” LGBTQ ์ปค๋ฎค๋‹ˆํ‹ฐ๋ฅผ ํ–ฅํ•ด ํ˜ธ์†Œํ•œ๋‹ค. LGBTQ ํ™ˆ๋ฆฌ์Šค ์ฒญ์†Œ๋…„๋“ค์„ ๋ฌผ์‹ฌ์–‘๋ฉด ๋•์ž๊ณ  ์™ธ์นœ๋‹ค. ์ฒญ์†Œ๋…„๋“ค์˜ ๊ณ ํ†ต์— ๊ด€์‹ฌ์„ ๊ธฐ์šธ์ด์ง€ ์•Š๋Š” ์„ฑ์ธ LGBTQ ์ปค๋ฎค๋‹ˆํ‹ฐ์˜ ๊ฐ์„ฑ์„ ์ด‰๊ตฌํ•œ๋‹ค. LGBTQ ์˜ ๋ถ€๋ชจ๋“ค์—๊ฒŒ ์šฐ๋ฆฌ ์•„์ด๋“ค์„ ๋Œ์–ด ์•ˆ๊ณ  ๊ทธ๋“ค์„ ์žˆ๋Š” ๊ทธ๋Œ€๋กœ์˜ ๋ชจ์Šต์œผ๋กœ ์‚ฌ๋ž‘ํ•œ๋‹ค ๋งํ•ด ์ฃผ์ž๋Š” ๋‹น๋ถ€์˜ ๋ง๋กœ ์งง์€ ๊ธ€์„ ๋งบ๋Š”๋‹ค. ์„œ๋ฌธ์—์„œ ๋กœ์šฐ๋ฆฌ๋Š” ๊ฐ€์กฑ์œผ๋กœ๋ถ€ํ„ฐ ๊ฝƒ๊ฒจ๋‚œ ์งํ›„ ๊ณต๋ฆฝ๋„์„œ๊ด€์„ ์ฐพ์•˜๋‹ค๊ฐ€ ๊ทธ ํ•œ ์ผ ์— ํ™€๋กœ ์•‰์•„ ๋‹ค์กŒ๋˜ ํ•œ ๊ฐ€์ง€ ๋งน์„ธ๋ฅผ ํšŒ๊ณ ํ•œ๋‹ค. ๊ทธ๋…€๋Š” ์„œ๊ฐ€๋ฅผ ์ด ์žก๋“ฏ์ด ๋’ค์กŒ์Œ์—๋„ ์ž์‹ ์˜ ์ƒ์กด์„ ์œ„ํ•œ ์กฐ์–ธ์ด ๋‹ด๊ธด ์ฑ…์ด๋ผ๊ณ ๋Š” ์ฐพ์ง€ ๋ชปํ•œ ์ฑ„ ํ•œ์—†์ด ๋ง‰๋ง‰ํ•˜๋˜ ์ฐจ์˜€๋‹ค. ์ž์‹ ์—์„œ ๊ณผ์—ฐ ๋ฏธ๋ž˜๊ฐ€ ์žˆ์„์ง€ ์•Œ ์ˆ˜ ์—†์—ˆ๋‹ค

    Lawrence Wright, The Looming Tower: Al-Qaeda and the road to 9/11

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    ๋กœ๋ Œ์Šค ๋ผ์ดํŠธ๋Š” 9/11 ํ…Œ๋Ÿฌ๋ฅผ ์„ค๋ช…ํ•˜๊ธฐ ์œ„ํ•ด ์‚ฌ๊ฑด์˜ ์ „์‚ฌ(ๅฒ์‚ฌ)๋ฅผ ์„œ์‚ฌํ™”ํ•˜๋Š” ๋ฐฉ์‹์„ ํƒํ–ˆ๋‹ค. ํ˜„๋ฏธ๊ฒฝ์œผ๋กœ ๋“ค์—ฌ๋‹ค ๋ณธ ๋“ฏ ์„ธ๋ฐ€ํ•˜๊ฒŒ ์„œ์ˆ ํ•œ ์žฅ๋ฉด๋“ค๋กœ ๊ฐ ์ข… ์‚ฌ๊ฑด๋“ค์„ ์—ฎ์–ด ๋‚ธ ์ปค๋‹ค๋ž€ ๋ฐ‘๊ทธ๋ฆผ์œผ๋กœ์„œ์˜ ใ€Ž๊ฑฐ๋Œ€ํ•œ ํƒ€์›Œ: ์•Œ์นด์—๋‹ค ๊ทธ๋ฆฌ๊ณ  9/11์— ์ด๋ฅด๋Š” ๊ธธใ€(์ดํ•˜ ใ€Ž๊ฑฐ๋Œ€ํ•œ ํƒ€์›Œใ€)์€ ๊ธฐ๋ณธ์ ์œผ๋กœ ๊ทธ ๋‚ ์˜ ์‚ฌ๊ฑด์„ ๋งŒ๋“ค์–ด ๋‚ธ ์—ฌ๋Ÿฌ ์กฐ๊ฑด๋“ค์„ ์ž…์ฒด์ ์œผ๋กœ ์ดํ•ดํ•˜๊ธฐ ์œ„ํ•œ ์ง€๋ฆ„๊ธธ๋กœ ์†์ƒ‰์ด ์—†๋‹ค. ๋ผ์ดํŠธ์˜ ๊ธฐ๋ก์€ ํฌ๊ฒŒ ๋‘ ์ถ•์˜ ์„œ์‚ฌ๋ฅผ ์‹ฌ์œผ๋กœ ์ง„ํ–‰๋œ๋‹ค. ์šฐ์„  ์ถฉ๋™ ์ง€์—ญ์˜ ๊ธ‰์ง„์ ์ธ ์•„๋ž๊ณ„ ๋ฌด์Šฌ๋ฆผ๋“ค์ด ์ด์Šฌ๋žŒ ๊ทผ๋ณธ์ฃผ์˜๋ฅผ ์‹นํ‹”์šฐ๊ณ  ๊ฒฐ๊ตญ ๋ฆฌ์ฆ˜์„ ์ฃผ ์ „๋žต์œผ๋กœ ์‚ผ์•„ 9/11์ด๋ผ๋Š” ๊ณต๊ฒฉ์˜ ์ˆ˜ํ–‰์— ๋‹ค๋‹ค๋ฅด๊ธฐ๊นŒ์ง€์˜ ๋ฉธ์‚ฌ์ ์ธ ๊ณผ์ •์ด ๊ทธ ํ•œ ์ถ•์ด๋‹ค. ๋ผ์ดํŠธ๋Š” 9/11 ์ด์ „์˜ ์˜ค์‹ญ ์—ฌ๋…„์ด๋ผ๋Š” ๋„“์€ ๊ธฐ๊ฐ„์„ ๋ง๋ผํ•˜๋ฉฐ ์ „์ง€๊ตฌ์  ์ง€ํ•˜๋“œ(global Jihad)์˜ ์ถ”์ง„ ๊ณผ์ •์„ ์‚ดํ”ผ๋Š”๋ฐ. ์ด ์ด์•ผ๊ธฐ ์†์—๋Š” ์„ธ๋Œ€, ์ถœ์‹  ์„ฑ๋ถ„, ์ง€์—ญ๋ณ„๋กœ ๋‹ค์–‘ํ•œ ์ด์Šฌ๋žŒ ๊ทผ๋ณธ์ฃผ์˜์ž๋“ค์ด ๋“ฑ์žฅํ•œ๋‹ค. ๊ฐ€๋ น, ์ด์‹ญ ์„ธ๊ธฐ ์ค‘๋ฐ˜ ์ด์ง‘ํŠธ์—์„œ ๋ฐ˜์„œ๊ตฌ ์ •์‹ ์˜ ๋Œ€๋ถ€๋กœ ํ™œ์•ฝํ•œ ์‚ฌ์ด๋“œ ์ฟ ํ‹‰ (Sayyid Qutb). ํŒ”์‹ญ ๋…„๋Œ€ ํ”„๊ฐ€๋‹ˆ์Šคํƒ„์ด ๋ฒŒ์ธ ๋Œ€ ์†Œ๋ จ ์ „์Ÿ์— ์ฐธ์—ฌํ•˜๋ฉฐ ๊ธ‰์ง„์ ์ธ ๋ฌด์Šฌ๋ฆผ์œผ๋กœ ์ •์ฒดํ™” ํ•œ ์•„๋ž ์•„ํ”„๊ฐ„๋“ค (Arab fghans), ๋Ÿฌ๋ฆฌ์ŠคํŠธ ์กฐ์ง๋ง์˜ ๊ตฌ์‹ฌ ์˜ค์‚ฌ๋งˆ ๋นˆ ๋ผ๋ด(Osama bin Laden), ์„ธ๊ธฐ์˜ ์ „ํ™˜๊ธฐ์— ์ž์‹ ์ด ํƒœ์–ด๋‚˜๊ณ  ์„ฑ์žฅํ•ด ์˜จ 1์„ธ๊ณ„์˜ ์ƒํ™œ์„ ๋“ฑ์ง€๊ณ  ํ…Œ๋Ÿฌ ์กฐ์ง์— ๊ฐ€๋‹นํ•œ ์ Š์€์ด๋“ค ๊ฐ™์€ ๊ฒฝ์šฐ๊ฐ€ ๋Œ€ํ‘œ์ ์ธ ์‚ฌ๋ก€๋ผ ํ•˜๊ฒ ๋‹ค. ๊ฐœ๊ฐœ์ธ ๊ทผ๋ณธ์ฃผ์˜์ž๋“ค์˜ ์—ฐ์—ฐ ๋ฟ ์•„๋‹ˆ๋ผ ๊ทธ ์ง€ํ–ฅ๊ณผ ๋ชฉํ‘œ๋ฅผ ์กฐ๊ธˆ์”ฉ ๋‹ฌ๋ฆฌํ•˜๋Š” ๊ทผ๋ณธ์ฃผ์˜ ์กฐ์ง๋“ค๋„ ๊ทธ ์กฐ์ง๋“ค์ด ๊ทผ๊ฑฐํ•œ ์—ญ ํ˜น์€ ๊ตญ๊ฐ€์˜ ๊ตฌ์ฒด์ ์ธ ์ •์„ธ๋“ค์„ ์„œ์ˆ ํ•˜๋Š” ์žฅ์—ฐ์„ ํ†ตํ•ด ์ฃผ์˜ ๊นŠ๊ฒŒ ์–ธ๊ธ‰๋œ๋‹ค. ์„ธ์†์ฃผ์˜ ์ •๋ถ€์— ๋Œ€ํ•œ ์ €ํ•ญ์œผ๋กœ ์ด์Šฌ๋žŒ ๊ตญ๊ฐ€ ๊ฑด์„ค์„ ์ถ”๊ตฌํ–ˆ๋˜ ์ด์ง‘ํŠธ ๋‚ด์˜ ์ด์Šฌ๋žŒ์ฃผ์˜ ์šด๋™ ์กฐ์ง๋งŒ ํ•ด๋„. ์•Œ์ง€ํ•˜๋“œ(al-Jihad), ์ด์Šฌ๋žŒ ๊ทธ๋ฃน(the Islamic Group), ๋ฌด์Šฌ๋ฆผ ํ˜•์ œ๋‹จ (Muslim Brotherhood) ๋‘ฅ ์„ธ ๊ฐ€์ง€ ์ด์ƒ์ด ์ง€์ ๋˜๋ฉฐ ๋”๋ถˆ์–ด ๋ฌด ์žฅ๋‹จ์ฒด์ธ ํŒ”๋ ˆ์Šคํƒ€์ธ์˜ ํ•˜๋งˆ์Šค(Hamas)์™€ ๋ ˆ๋ฐ”๋…ผ์˜ ํ—ค์ฆˆ๋ณผ๋ผ (Hezbollah)๊นŒ์ง€ ๋‹ค๋ฃจ์–ด์ง„๋‹ค

    Single-port access versus conventional multi-port access total laparoscopic hysterectomy for very large uterus

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    OBJECTIVE: The aim of this study was to compare the surgical outcomes of single-port access (SPA) and conventional multi-port access total laparoscopic hysterectomies (TLH) among patients with very large uteri (500 g or more). METHODS: Fifty consecutive patients who received TLH for large uterine myomas and/or adenomyoses weighing 500 g or more between February 2009 and December 2012 were retrospectively reviewed. SPA and conventional TLH were each performed in 25 patients. Surgical outcomes, including operation time, estimated blood loss, postoperative hemoglobin change, postoperative hospital stay, postoperative pain, and perioperative complications, were compared between the two groups. RESULTS: There were no significant demographic differences between the two groups. All operations were completed laparoscopically with no conversion to laparotomy. Total operation time, uterus weight, estimated blood loss, and postoperative hemoglobin change did not significantly differ between the two groups. Postoperative hospital stay was significantly shorter for the SPA-TLH group compared to that of the conventional TLH group (median [range], 3 [2.0-6.0] vs. 4 [3-7] days; P=0.004]. There were no inter-group differences in postoperative pain at 6, 24, and 72 hours after surgery. There was only one complicated case in each group. CONCLUSION: SPA-TLH in patients with large uteri weighing 500 g or more is as feasible as conventional TLH. SPA-TLH is associated with shorter hospital stays compared to that of conventional TLH.ope

    Lesbian-telling and self-revealing : comparative study of Lesbian bildungsromans

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :ํ˜‘๋™๊ณผ์ • ๋น„๊ต๋ฌธํ•™์ „๊ณต,2007.Maste

    ํ•œ๊ตญ ํ•™์ƒ๋“ค์˜ ์˜์ž‘๋ฌธ์— ๋‚˜ํƒ€๋‚˜๋Š” ์ƒ์œ„๋‹ดํ™”์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์™ธ๊ตญ์–ด๊ต์œกํ•™๊ณผ ์˜์–ด์ „๊ณต,1997.Maste

    ํ•œ๊ตญ์กฐ์„ ๊ธฐ์ž์žฌ์‚ฐ์—…์˜ ๊ฒฝ์Ÿ๋ ฅ ์œ„์น˜๋ถ„์„

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    Korea shipbuilding were made possible by rapid growing in moment of world economy development. Shipbuilding industry make development with connection industries, which for become the large assembly industries. Especially, marine equipment industry is general industry related from steel to electronical and electronics industry. Marine industry has to analyse the importance of affecting factor and status by Gap analysis which for increase the competitive edge. We need to analyse the competitive position and seek for the solution of set up an effective manufacturing system and quality improvement plan. For this, I measured marine equipment competitive necessity awareness of four keys. (Four key: classified by balanced product valuation model) In this paper, I measured the competitive criticality of marine equipment and present condition by Gap analysis. I look to ways of improving competitiveness development by analyzed the knowledge competitiveness position of marine equipment industries key factor. In result of analysed, the obey ability for payment is most important factor in competitive effect. Also, it showed that equipment international standard and trend has most competitiveness. It has sought development by efforts of high value equipment development which for accumulate core-technology, but compensation are inadequate to support with technical development. For the development, it is required to motivation of development in basic steps applies to any industry. Marine equipment industry has the band width to get development competitiveness by satisfying and improving competitive factors.ํ‘œ ์ฐจ ๋ก€ โ…ฒ ๊ทธ๋ฆผ ์ฐจ๋ก€ โ…ต Abstract โ…ถ ์ œ1์žฅ ์„œ ๋ก  1 ์ œ1์ ˆ ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ๊ณผ ๋ชฉ์  1 ์ œ2์ ˆ ์—ฐ๊ตฌ์˜ ๋‚ด์šฉ ๋ฐ ๋ฐฉ๋ฒ• 7 ์ œ2์žฅ ์ด๋ก ์  ๊ณ ์ฐฐ ๋ฐ ์„ ํ–‰์—ฐ๊ตฌ 8 ์ œ1์ ˆ ๊ฒฝ์Ÿ๋ ฅ์˜ ์ด๋ก ์  ๊ณ ์ฐฐ 8 1. ๊ฒฝ์Ÿ๋ ฅ์˜ ๊ฐœ๋…๊ณผ ์ •์˜ 8 ์ œ2์ ˆ ๊ท ํ˜•์„ฑ๊ณผ๋ชจํ˜•์˜ ์„ ํ–‰์—ฐ๊ตฌ 10 1. ํ•ด์™ธ์„ ํ–‰์—ฐ๊ตฌ 10 2. ๊ตญ๋‚ด์„ ํ–‰์—ฐ๊ตฌ 12 ์ œ3์žฅ ์กฐ์„ ๊ธฐ์ž์žฌ์‚ฐ์—…์˜ ํ˜„ํ™ฉ 15 ์ œ1์ ˆ ์กฐ์„ ๊ธฐ์ž์žฌ์‚ฐ์—…์˜ ํŠน์„ฑ ๋ฐ ํŒŒ๊ธ‰ํšจ๊ณผ 15 1. ํŠน์„ฑ ๋ฐ ํŒŒ๊ธ‰ํšจ๊ณผ 15 ์ œ2์ ˆ ๊ตญ๋‚ด์™ธ ์กฐ์„  ๋ฐ ์กฐ์„ ๊ธฐ์ž์žฌ์‚ฐ์—…์˜ ํ˜„ํ™ฉ 19 1. ์„ธ๊ณ„์˜ ์กฐ์„ ์‚ฐ์—… ๊ตฌ์กฐ๋ณ€ํ™”์™€ ์ „๋ง 19 2. ๊ตญ๋‚ด์˜ ์กฐ์„ ์‚ฐ์—… ๋ฐ ์กฐ์„ ๊ธฐ์ž์žฌ์‚ฐ์—…์˜ ํ˜„ํ™ฉ 29 ์ œ4์žฅ ์กฐ์„ ๊ธฐ์ž์žฌ์‚ฐ์—…์˜ ๊ฒฝ์Ÿ๋ ฅ ๋ถ„์„ 39 ์ œ1์ ˆ ๊ท ํ˜•์„ฑ๊ณผ๋ชจํ˜• 39 1. ๊ท ํ˜•์„ฑ๊ณผ๋ชจํ˜•์˜ ํ™œ์šฉ 39 2. ๊ท ํ˜•์„ฑ๊ณผ๋ชจํ˜•์˜ 4๊ด€์  ์š”์ธ 40 3. ํ•ต์‹ฌ์„ฑ๊ณต์š”์ธ ๋ฐ ํ•ต์‹ฌ์„ฑ๊ณผ์ง€ํ‘œ ๋„์ถœ 42 ์ œ2์ ˆ ์ธก์ •๋ฐฉ๋ฒ• ๋ฐ ์—ฐ๊ตฌ๋Œ€์ƒ 45 1. ์ธก์ •๋ฐฉ๋ฒ• 45 2. ์ž๋ฃŒ์ˆ˜์ง‘๊ณผ ์—ฐ๊ตฌ๋Œ€์ƒ 47 ์ œ3์ ˆ ์‹คํƒœ ๋ฐ ์ฐจ์ด ๋ถ„์„ 53 1. ์กฐ์„ ๊ธฐ์ž์žฌ์‚ฐ์—…์˜ ๊ฒฝ์Ÿ๋ ฅ ์š”์ธ ์‹คํƒœ ๋ฐ ์ฐจ์ด๋ถ„์„ 53 ์ œ4์ ˆ 4๊ด€์  ์š”์ธ์˜ ์‹ ๋ขฐ์„ฑ ๋ถ„์„ 83 1. ์‹ ๋ขฐ์„ฑ ๋ถ„์„ 83 ์ œ5์žฅ ๊ฒฐ ๋ก  86 ์ œ1์ ˆ ์—ฐ๊ตฌ๊ฒฐ๊ณผ์˜ ์š”์•ฝ ๋ฐ ์‹œ์‚ฌ์  86 ์ œ2์ ˆ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ ๋ฐ ํ–ฅํ›„ ๊ณผ์ œ 8

    Prediction of CO concentration by vehicle in traffic area

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    ํ™˜๊ฒฝ๋ณด๊ฑดํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€] ์‚ฐ์—…์˜ ๋ฐœ๋‹ฌ๊ณผ ๊ตํ†ต๋Ÿ‰์˜ ์ฆ๊ฐ€๋กœ ๊ฐ์ข… ๋Œ€๊ธฐ์˜ค์—ผ๋ฌผ์งˆ์˜ ๋ฐฐ์ถœ์ด ๋‚ ๋กœ ์‹ฌํ™”๋˜๊ณ  ์žˆ์œผ๋ฉฐ, ๋Œ€์†Œ์‹œ ๋Œ€๊ธฐ์˜ค์—ผ์˜ ๊ฒฝ์šฐ ์—ฌ๋Ÿฌ ๋ฐฐ์ถœ์›(์ ์˜ค์—ผ์›, ์„ ์˜ค์—ผ์›, ๋ฉด์˜ค์—ผ์›)์ค‘ ์„ ์˜ค์—ผ์›์ด ์ฐจ์ง€ํ•˜๋Š” ๋น„์ค‘์€ ์ƒ๋Œ€์ ์œผ๋กœ ํฌ๊ฒŒ ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ๋‹ค. ๋˜ํ•œ, ์ธ๊ตฌ์˜ ๊ธ‰์ฆ์— ๋”ฐ๋ฅธ ๊ตํ†ต์ˆ˜์šฉ์˜ ํญ๋ฐœ์ ์ธ ์ฆ๊ฐ€์™€ ๊ตํ†ต๋ฌธ์ œ์˜ ์‹ฌํ™”๋กœ ์ธํ•˜์—ฌ ์„ ์˜ค์—ผ์›์— ์˜ํ•œ ๋Œ€๊ธฐ์˜ค์—ผ์€ ๋ฐฐ์ถœ์›์— ๋Œ€ํ•œ ์›์ฒœ์ ์ธ ์ €๊ฐ์ด ์—†๋Š” ํ•œ ๊ณ„์†๋  ์ „๋ง์ด๋‹ค. ์–ด๋Š ์ง€์—ญ์˜ ๋Œ€๊ธฐ์˜ค์—ผ์€ ๊ทธ ์ง€์—ญ์˜ ์˜ค์—ผ๋ฐฐ์ถœํŠน์„ฑ, ์ง€ํ˜•, ๊ธฐ์ƒ ๋“ฑ์— ์˜ํ•˜์—ฌ ๊ฒฐ์ •๋˜๋ฏ€๋กœ, ๊ทธ ์ง€์—ญ์˜ ๋Œ€๊ธฐ์˜ค์—ผ ํŠน์ง•์„ ์ดํ•ดํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ •ํ™•ํ•œ ๋ฐฐ์ถœ๋Ÿ‰์„ ์‚ฐ์ •ํ•˜๊ณ  ๊ธฐ์ƒ์š”์†Œ์™€์˜ ๊ด€๊ณ„๋ฅผ ํŒŒ์•…ํ•˜๋Š” ๊ฒƒ์€ ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ฃผํ–‰์ฐจ๋Ÿ‰์— ์˜ํ•˜์—ฌ ๋ฐฐ์ถœ๋˜๋Š” ๋Œ€ํ‘œ์ ์ธ ์˜ค์—ผ๋ฌผ์งˆ์ธ CO๋ฅผ ๋Œ€์ƒ๋ฌผ์งˆ๋กœ ์„ ์ •ํ•˜๊ณ , ๋งŽ์€ ๊ตํ†ต๋Ÿ‰์ด ์œ ๋ฐœ๋˜๋Š” ๋„๋กœ ์ฃผ๋ณ€์ง€์—ญ์„ ๋Œ€์ƒ์ง€์—ญ์œผ๋กœ ์„ ์ •ํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ , Caline-3๋ชจ๋ธ์„ ์ด์šฉํ•˜์—ฌ ํ•ด๋‹น์ง€์—ญ์˜ ์‹œ๊ฐ„๋ณ„ ๊ธฐ์ƒ์ž๋ฃŒ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๋„๋กœ ์ธ๊ทผ์ง€์—ญ์— ๋ฏธ์น˜๋Š” ๊ณ„์ ˆ๋ณ„ ์‹œ๊ฐ„๋ณ„ CO๋†๋„๋ฅผ ์˜ˆ์ธกํ•˜๊ณ , ๋‹ค์ค‘ํšŒ๊ท€๋ถ„์„์„ ํ†ตํ•˜์—ฌ CO๋†๋„์™€ ๊ธฐ์ƒ์ธ์ž์™€์˜ ์ƒ๊ด€์„ฑ์„ ๊ทœ๋ช…ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์˜ˆ์ธก์— ์‚ฌ์šฉ๋œ Caline-3 ๋ชจ๋ธ์€ ์„ ์˜ค์—ผ์›์— ์˜ํ•œ ๋Œ€๊ธฐ์˜ค์—ผ์„ ์˜ˆ์ธกํ•˜๊ธฐ ์œ„ํ•˜์—ฌ EPA์—์„œ ๊ถŒ์žฅํ•˜๊ณ  ์žˆ๋Š” ๋ชจ๋ธ๋กœ์„œ, ๊ฐ€์šฐ์‹œ์•ˆ ํ™•์‚ฐ์‹์— ๊ทผ๊ฑฐ๋ฅผ ๋‘๊ณ  ์ข์€ ๋ฏธ์‹œ๊ทœ๋ชจ์ง€์—ญ(micro-scale region)์—์„œ ์ฐจ๋Ÿ‰์— ์˜ํ•œ ๋Œ€๊ธฐ์˜ค์—ผ ๋ฌผ์งˆ์ด ์ธ๊ทผ์ง€์—ญ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์˜ˆ์ธกํ•˜๋Š” ๋ชจ๋ธ์ด๋‹ค. ์‹ค์ œ ์ธก์ •์„ ํ†ตํ•˜์—ฌ ์–ป์–ด์ง„ ์‹ค์ธก์น˜์™€ ์‹ค์ธก์ง€์ ๊ณผ ๋™์ผํ•œ ์ง€์ ์— ๋Œ€ํ•œ ๋ชจ๋ธ์˜ ์˜ˆ์ธก์น˜๊ฐ„์˜ ์ƒ๊ด€๋ถ„์„๊ฒฐ๊ณผ, ์ƒ๊ด€๊ณ„์ˆ˜๋Š” 0.77~0.89๋กœ ๋†’์€ ์ƒ๊ด€์„ฑ์„ ๋ณด์˜€์œผ๋ฉฐ, ๋„๋กœ์—์„œ ์ด๊ฒฉ๊ฑฐ๋ฆฌ๊ฐ€ ๊ฐ€๊นŒ์šธ์ˆ˜๋ก ์ƒ๊ด€๊ณ„์ˆ˜๋Š” ๋”์šฑ ๋†’์•„์ง€๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์˜€๋‹ค. CO๋†๋„์˜ ์‹œ๊ฐ„์  ๊ณต๊ฐ„์  ๋ถ„ํฌํŠน์„ฑ์„ ํŒŒ์•…ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ, CO ์ตœ๋Œ€๋†๋„ ๋ฐœ์ƒ์‹œ์˜ ํ’ํ–ฅ๊ณผ ๋Œ€์ƒ์ง€์—ญ์ด ํ’ํ•˜๋ฐฉํ–ฅ์ด ๋˜๋Š” ํ’ํ–ฅ์„ ๊ณ ๋ คํ•˜์—ฌ ํ’ํ–ฅ ๋ณด์ • ํ›„ ๋ชจ๋ธ์— ์ ์šฉํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๊ฒฐ๊ณผ, 4๋“ฑ๊ธ‰์˜ ๋Œ€๊ธฐ์•ˆ์ •๋„๋ฅผ ๋ณด์ด๋Š” ์—ฌ๋ฆ„์„ ์ œ์™ธํ•˜๊ณ  ๋ชจ๋“  ๊ณ„์ ˆ์˜ CO๋†๋„๋Š” 6๋“ฑ๊ธ‰์˜ ๋Œ€๊ธฐ์•ˆ์ •๋„์—์„œ ๊ฐ€์žฅ ๋†’์€ ๋†๋„๊ฐ’์„ ๋ณด์˜€๊ณ , ๊ณ„์ ˆ๋ณ„ ์ตœ๋Œ€๋ถ„ํฌ์‹œ๋Š” ๊ฐ€์„์ด ๊ฐ€์žฅ ๋†’์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜ํ•œ, ๊ณต๊ฐ„์  ๋ถ„ํฌํŠน์„ฑ์œผ๋กœ๋Š” ์—ฌ๋ฆ„์„ ์ œ์™ธํ•˜๊ณ  21์‹œ์—์„œ 06์‹œ์— ์˜ค์—ผ๋ฌผ์งˆ์˜ ํ™•์‚ฐ์ด ๋Š๋ ค ๋„๋กœ์ธ์ ‘์ง€์ ๊ณผ ํƒ€์ง€์ ๊ณผ์˜ ๋†๋„์ฐจ์ด๊ฐ€ ๋‚ฌ์œผ๋ฉฐ, ๊ทธ ์™ธ์˜ ์‹œ๊ฐ„๋Œ€์—๋Š” ๋„๋กœ ์ด๊ฒฉ 200m ์ด๋‚ด์—์„œ๋Š” ์ง€์ ๊ฐ„์˜ ๋†๋„์ฐจ์ด๋Š” ํฌ์ง€ ์•Š์•˜๋‹ค. CO๋†๋„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ธ์ž๋ฅผ ํŒŒ์•…ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ CO๋†๋„๋ฅผ ์ข…์†๋ณ€์ˆ˜๋กœ ํ•˜๊ณ  ๊ธฐ์ƒ์ธ์ž๋ฅผ ๋…๋ฆฝ๋ณ€์ˆ˜๋กœ ํ•˜์—ฌ ๋‹ค์ค‘ํšŒ๊ท€๋ถ„์„์„ ์‹ค์‹œํ•œ ๊ฒฐ๊ณผ, ํ’์†๊ณผ ๋Œ€๊ธฐ์•ˆ์ •๋„๊ฐ€ CO๋†๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์€ ์œ ์˜ํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๊ณ (p0.001). ์„ ์˜ค์—ผ์›์˜ ๋ฐฐ์ถœ๋Ÿ‰์— ์˜ํ•œ ๋„๋กœ์ฃผ๋ณ€์ง€์—ญ์˜ ์˜ํ–ฅ ์˜ˆ์ธก์‹œ ์‹ ๋ขฐ์„ฑ์„ ํ™•๋ณดํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ •ํ™•ํ•œ ๋ฐฐ์ถœ๋Ÿ‰์˜ ์‚ฐ์ •๊ณผ ๊ธฐ์ƒ์ธ์ž์™€์˜ ์ƒ๊ด€์„ฑ๊ทœ๋ช…์„ ๊ณ ๋ ค๋˜์–ด์ ธ์•ผํ•œ๋‹ค. [์˜๋ฌธ] Because of the development of industry and the increase of traffic volume, the exhausts of various air pollutants grow gradually and the relative importance of the line pollution source has been increasing among the air pollution sources of metropolitan area like the divers exhausting sources(point pollution source, line pollution source, area pollution source). Besides, because of the explosive growing of transportation demand and the aggravation of traffic problem caused by the rapid increase of population, without the basic reduction about the exhausting source, the line pollution source will generate air pollution continuously. Because the air pollution of some places is determined by the region's pollution characteristics such as geographical features, weather conditions etc., in the understanding the region's pollution characteristics, it is important that to grasp the correlation between the correct assessment of the exhausting quantities and the weather factors governing them. In this research, CO, the typical air pollutant exhausted by the vehicles, is selected as a subject material and the surrounding area of the street which has heavy traffic volume is chosen as a subject region. In addition, with the weather data classified by time in the appropriate region through Caline-3 modelling, the CO concentration of the street is estimated according to the time and seasons. Moreover the correlation between the CO concentration and weather factors is investigated by the multiple regression analysis. The Caline-3 modelling used in the estimation is a model recommend by EPA for estimating the air pollution caused by the line pollution source. It is based on the Gaussian dispersion equation and used to estimate the influence of the air pollutants by vehicles in the small micro-scale region. In the analysis of the correlation between the measured data and the predicted data in the same place, the correlation coefficient is 0.77 ~ 0.89 which means high correlation. In addition, the closer the distance from the street, the higher the correlation coefficient. To understand the time and space characteristics of CO concentration, considering the wind load direction when the CO concentration is maximum, the model is applied after calibrating the wind direction. In the research results, except for summer shown the 4th grade atmosphere stability, the CO concentration of all other seasons shows the highest concentration in the 6th grade atmosphere stability. And autumn is the highest in the maximum distribution according to seasons. Besides, in the characteristics of space distribution, the concentration between the area nearing to road and other site has difference from 21:00 PM to 06:00 AM because of the slow dispersion of pollutant and in the case of 200m inner area of the street distance, the concentration differences between sites is a little in other times. For investigating the influence factor on CO concentration, when the multiple regression analysis is done with the CO concentration, a dependent variable, and the weather factor, an independent variable, the influence of the atmosphere stability and wind velocity on CO concentration is meaningful (p0.001). When prediction of on the area near the road, considering the line pollution source in the estimation of these pollutant, the examination about the correlation between the weather factors and the pollutant concentration and the correct estimation of exhausting quantities has to be deliberated to confirm the reliability of the density estimation generated by cars in the street.ope

    The Effect of Certificate Status on the Return to Work after an Industrial Accident

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    ๋ณธ ์—ฐ๊ตฌ๋Š” ์‚ฐ์žฌ์š”์–‘์ข…๊ฒฐ์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์ž๊ฒฉ์ฆ๋ณด์œ  ์—ฌ๋ถ€๊ฐ€ ์‚ฐ์žฌ ์ดํ›„ ์ง์žฅ๋ณต๊ท€์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•ด ์‚ดํŽด๋ณด์•˜๋‹ค. ์ž๋ฃŒ๋Š” ๊ทผ๋กœ๋ณต์ง€๊ณต๋‹จ์—์„œ ์กฐ์‚ฌํ•œ ์‚ฐ์žฌ๋ณดํ—˜ํŒจ๋„ ์ œ 1์ฐจ(2013๋…„)๋ถ€ํ„ฐ ์ œ 5์ฐจ(2017๋…„)์ž๋ฃŒ๋ฅผ ์ด์šฉํ•˜์˜€๋‹ค. ํ‘œ๋ณธ ์ค‘ ์ค‘๋„ ํƒˆ๋ฝ์ž, ์ž์˜์—…์ž, ์ž๋ฃŒ ์†Œ์‹ค ๋“ฑ์„ ์ œ์™ธํ•˜์—ฌ ์ตœ์ข… ํ‘œ๋ณธ์ˆ˜๋Š” 1,458๋ช…์ด์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋ฅผ ์š”์•ฝํ•˜๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, 30~40๋Œ€ ์—ฐ๋ น๋Œ€์™€ ๋‚จ์„ฑ, ๊ทธ๋ฆฌ๊ณ  ์žฅํ•ด๋“ฑ๊ธ‰์ด ๋‚ฎ์„์ˆ˜๋ก ์‚ฐ์žฌ ์ดํ›„ ์ง์žฅ๋ณต๊ท€์œจ์ด ๋†’์•˜๋‹ค. ๋‘˜์งธ, ๋ถ„์„ ๊ฒฐ๊ณผ ๊ฒฝ์ œํ™œ๋™์ด ์™•์„ฑํ•œ 30~40๋Œ€์ผ์ˆ˜๋ก, ์—ฌ์„ฑ๋ณด๋‹ค ๋‚จ์„ฑ์ด, ๊ต์œก์ˆ˜์ค€์ด ๋†’์„์ˆ˜๋ก ์ž๊ฒฉ์ฆ ๋ณด์œ ์œจ์ด ๋†’์•˜๋‹ค. ์ƒ์šฉ์ง์ด ์ผ์šฉ์ง์— ๋น„ํ•ด ์ž๊ฒฉ์ฆ ๋ณด์œ  ๋น„์œจ๊ณผ ์ง์žฅ๋ณต๊ท€์œจ์ด ๋‹ค์†Œ ๋†’์•˜์œผ๋ฉฐ, ๊ทผ๋กœ๊ธฐ๊ฐ„์ด ๊ธธ์ˆ˜๋ก ์ž๊ฒฉ์ฆ๋ณด์œ  ๋น„์œจ๊ณผ ์ง์žฅ๋ณต๊ท€์œจ์ด ๋†’์€ ๊ฒฝํ–ฅ์ด ์žˆ์—ˆ๋‹ค. ์—…์ข…์— ๋”ฐ๋ผ์„œ๋Š” ์„œ๋น„์Šค์—…์—์„œ ์ž๊ฒฉ์ฆ ๋ณด์œ  ๋น„์œจ์ด ๊ฐ€์žฅ ๋†’์•˜์œผ๋ฉฐ, ์ง์žฅ๋ณต๊ท€์œจ์€ ์ œ์กฐ์—…๊ณผ ์„œ๋น„์Šค์—…์ด ๊ฐ€์žฅ ๋†’์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์…‹์งธ, ์ž๊ฒฉ์ฆ ๋ณด์œ ์ž์˜ ์ง์žฅ๋ณต๊ท€์œจ์ด ๋ฏธ๋ณด์œ ์ž์— ๋น„ํ•ด ์˜๋ฏธ์žˆ๊ฒŒ ๋†’์•˜๋‹ค. ํŠนํžˆ ๋‚จ์„ฑ์— ๋น„ํ•ด ์—ฌ์„ฑ ๊ณ„์ธต์—์„œ, ์ƒ์šฉ์ง์— ๋น„ํ•ด ์ผ์šฉ์ง ๊ณ„์ธต์—์„œ ์ž๊ฒฉ์ฆ ๋ณด์œ  ์—ฌ๋ถ€๊ฐ€ ์ง์žฅ๋ณต๊ท€์— ์žˆ์–ด์„œ ์ƒ๋‹นํžˆ ํฐ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋Š” ์ง์žฅ๋ณต๊ท€ ๋ฐ ์ทจ์—…์ด ์ˆ˜์›”ํ•œ ์ƒ์šฉ์ง, ๋‚จ์„ฑ์— ๋น„ํ•ด ์ƒ๋Œ€์ ์œผ๋กœ ์ทจ์—… ์ทจ์•ฝ ๊ณ„์ธต์— ํ•ด๋‹นํ•˜๋Š” ์ผ์šฉ์ง, ์—ฌ์„ฑ์˜ ์ง์žฅ๋ณต๊ท€์— ์žˆ์–ด์„œ ์ž๊ฒฉ์ฆ์ด ๋”์šฑ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•œ๋‹ค๋Š” ์ ์„ ๋ณด์—ฌ์ค€๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋Š” ํ–ฅํ›„ ์ทจ์—… ์ทจ์•ฝ๊ณ„์ธต์˜ ์ง์žฅ๋ณต๊ท€๋ฅผ ์œ„ํ•ด์„œ๋Š” ์ž๊ฒฉ์ฆ ์ทจ๋“ ๋“ฑ์˜ ์ง€์›์— ๋” ํฐ ์ •์ฑ…์  ๋…ธ๋ ฅ์ด ํ•„์š”ํ•˜๋‹ค๋Š” ์‹œ์‚ฌ์ ์„ ์ค€๋‹ค. This study examined the effect of having a certificate on the return to work after an industrial accident. The data were used from the 1st(2013) to the 5th(2017) of Panel Study of Workersโ€™ Compensation Insurance. The final sample number was 1,458 except for self-employed, and data loss. The results of this study are summarized as follows. First, the 30s and 40s, the males, and the lower the disability grade, the higher the return to work after industrial accidents. Second, as a result of analysis, males were in their 30s and 40s with a strong economic activity, males were higher than females, and higher education levels held higher qualifications. The percentage of certificate holders and return to work was slightly higher for regular workers than for daily workers. According to the type of industry, the percentage of certificate holdings was highest in the service industry, and the rate of return to work was highest in the manufacturing and service industries. Third, the return to work of certificate holders was significantly higher than that of non-holders. In particular, it was found that the holding of certificates had a significant effect on returning to work in the female class compared to the male and the daily working class compared to the regular workers. This shows that the qualifications play a more important role in returning to work and employment, which is relatively weak compared to men's daily employment, and women's return to work. These findings suggest that greater policy efforts are needed to support the acquisition of certification in order to return to the workplace for those who are vulnerable to employment.open์„

    ํ”ผ์•„๋…ธ ์ „๊ณต ๋Œ€ํ•™์ƒ์˜ ์—ฐ์ฃผ๋ถˆ์•ˆ์— ๊ด€ํ•œ ์กฐ์‚ฌ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :ํ˜‘๋™๊ณผ์ • ์Œ์•…๊ต์œก์ „๊ณต,2006.Maste
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