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Constraining dark matter signal from a combined analysis of Milky Way   satellites using the Fermi-LAT

Constraining dark matter signal from a combined analysis of Milky Way satellites using the Fermi-LAT

๋ณธ ๋…ผ๋ฌธ์€ ํŽ˜๋ฅด๋ฏธ LAT๋ฅผ ์ด์šฉํ•˜์—ฌ ์—ฌ๋Ÿฌ ๋‚œ์†Œ ๊ตฌํ˜• ์€ํ•˜(dSph)์—์„œ ์•”ํ‘ ๋ฌผ์งˆ(DM) ์‹ ํ˜ธ๋ฅผ ํƒ์‚ฌํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๊ฐœ๋ณ„ dSph์— ๋Œ€ํ•œ ๋ถ„์„ ๊ฒฐ๊ณผ๋ฅผ ๊ฒฐํ•ฉํ•จ์œผ๋กœ์จ, ์•”ํ‘ ๋ฌผ์งˆ ์‹ ํ˜ธ์˜ ๊ฐ๋„๋ฅผ ํ–ฅ์ƒ์‹œํ‚ค๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค. ์„œ๋ก  ํŽ˜๋ฅด๋ฏธ LAT๋Š” 20MeV์—์„œ 300GeV ์ด์ƒ์˜ ์—๋„ˆ์ง€๋ฅผ ์ธก์ •ํ•  ์ˆ˜ ์žˆ๋Š” ๋Šฅ๋ ฅ์„ ๊ฐ€์ง€๊ณ  ์žˆ์–ด, ์•”ํ‘ ๋ฌผ์งˆ ํƒ์‚ฌ์— ์ ํ•ฉํ•œ ๋„๊ตฌ์ž…๋‹ˆ๋‹ค. ํŠนํžˆ, ์•ฝํ•˜๊ฒŒ ์ƒํ˜ธ์ž‘์šฉํ•˜๋Š” ๋ฌด๊ฑฐ์šด ์ž…์ž(WIMP)๋ฅผ ๋Œ€์ƒ์œผ๋กœ ํ•ฉ๋‹ˆ๋‹ค. ๋ถ„์„ ๋ฐฉ๋ฒ• ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์—ฌ๋Ÿ ๊ฐœ์˜ dSph์— ๋Œ€ํ•œ ๊ฒฐํ•ฉ ๊ฐ€๋Šฅ๋„ ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์˜€์Šต๋‹ˆ๋‹ค. ์ด

Analysis HEP-PH Astrophysics
Liber Mathematicae: A Web-Based Documentation and Collaboration Project   for Mathematics

Liber Mathematicae: A Web-Based Documentation and Collaboration Project for Mathematics

: ๋ณธ ๋…ผ๋ฌธ์€ ๊ธฐ์กด์˜ ์ˆ˜ํ•™ ์ถœํŒ ๋ฐฉ์‹์— ๋Œ€ํ•œ ํ•œ๊ณ„๋ฅผ ๊ทน๋ณตํ•˜๊ณ ์ž ํ•˜๋Š” ์ƒˆ๋กœ์šด ์ ‘๊ทผ๋ฒ•์„ ์ œ์‹œํ•œ๋‹ค. ์ „ํ†ต์ ์œผ๋กœ ์ˆ˜ํ•™ ์ง€์‹์€ ์ฑ…์ด๋‚˜ ํ•™์ˆ ์ง€์— ์ธ์‡„ ๋งค์ฒด๋กœ ์ถœํŒ๋˜์–ด ์™”์ง€๋งŒ, ์ธํ„ฐ๋„ท์ด ๋“ฑ์žฅํ•จ์— ๋”ฐ๋ผ ์ƒˆ๋กœ์šด ์ถœํŒ ๋ฐฉ์‹์˜ ๊ฐ€๋Šฅ์„ฑ์ด ์—ด๋ ธ์Œ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ๋Œ€๋ถ€๋ถ„์˜ ์˜จ๋ผ์ธ ์ˆ˜ํ•™ ์ถœํŒ๋ฌผ์€ ์—ฌ์ „ํžˆ ๋ฏธ๋””์–ด์˜ ์ž ์žฌ๋ ฅ์„ ์ถฉ๋ถ„ํžˆ ํ™œ์šฉํ•˜์ง€ ๋ชปํ•˜๊ณ  ์žˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, arXiv๋Š” PDF ํ˜•์‹์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ฌธ์„œ๋ฅผ ํ˜ธ์ŠคํŒ…ํ•˜๋Š”๋ฐ, ์ด๋Š” ์ธ์‡„์šฉ ๋ฌธ์„œ ์ „์†ก ๋ฐ ํ˜•์‹ ์œ ์ง€์— ์ตœ์ ํ™”๋˜์–ด ์žˆ์ง€๋งŒ, ์ˆ˜ํ•™์  ํ‘œํ˜„์„ ํ™•์žฅ ๊ฐ€๋Šฅํ•˜๊ฑฐ๋‚˜ ๋ณต์‚ฌ ๊ฐ€๋Šฅํ•œ ํ˜•ํƒœ๋กœ ํ‘œ์‹œํ•˜์ง€๋Š” ๋ชปํ•œ๋‹ค. ์œ„ํ‚คํ”ผ๋””์•„์™€ ๊ฐ™

Digital Libraries Mathematics Computer Science
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The Stochastic Universe: Professor A.M. Mathais 75th Birthday

A.M. ๋งˆํƒ€์ด ๊ต์ˆ˜๋Š” 1970๋…„๋Œ€๋ถ€ํ„ฐ ํ™•๋ฅ  ๋ฐ ํ†ต๊ณ„๋ฅผ ํ™œ์šฉํ•œ ๋ฌผ๋ฆฌํ•™ ์—ฐ๊ตฌ ํ”„๋กœ๊ทธ๋žจ์„ ์‹œ์ž‘ํ•˜์—ฌ, ์ •๋ณด ์ด๋ก ๊ณผ ์—”ํŠธ๋กœํ”ผ ํ•จ์ˆ˜, ์ •๊ทœ ๋ถ„ํฌ, ๊ทธ๋ฆฌ๊ณ  ์ผ๋ฐ˜ํ™”๋œ ํ•˜์ดํผ์ง€์ˆ˜ ํ•จ์ˆ˜ ๋“ฑ์„ ๋‹ค๋ฃฌ ์„ธ ๊ถŒ์˜ ๋‹จํ–‰๋ณธ์„ ์ถœํŒํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ์˜ ์—ฐ๊ตฌ๋Š” ์ˆ˜ํ•™๊ณผ ๋ฌผ๋ฆฌํ•™ ๊ฐ„์˜ ๊นŠ์€ ์—ฐ๊ด€์„ฑ์„ ๊ฐ•์กฐํ•˜๋ฉฐ, ํŠนํžˆ ํ†ต๊ณ„๋ฌผ๋ฆฌํ•™์—์„œ ์•„์ง ํ˜•์‹์  ๊ณต๋ฆฌ๊ณ„๊ฐ€ ๊ฐœ๋ฐœ๋˜์ง€ ๋ชปํ•œ ๋ถ€๋ถ„์— ์ฃผ๋ชฉํ•ฉ๋‹ˆ๋‹ค. ์ˆ˜ํ•™๊ณผ ๋ฌผ๋ฆฌํ•™์˜ ์ƒํ˜ธ์ž‘์šฉ์€ ์˜ค๋žœ ์—ญ์‚ฌ๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ์ผ๋ฐ˜ ์ƒ๋Œ€์„ฑ์ด๋ก ์€ ๋ฆฌ๋งŒ ๊ธฐํ•˜ํ•™์„ ๋ฐ”ํƒ•์œผ๋กœ ํ•˜๋ฉฐ, ์–‘์ž์—ญํ•™์€ ํ•จ์ˆ˜ ๋ถ„์„์— ํฌ๊ฒŒ ์˜์กดํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์•„์ธ์Šˆํƒ€์ธ์€ 1915๋…„์—

Physics
A short note on the two most recent large EQs of New Zealand (Mw=7.0 on   September 3rd, 2010 and Mw=6.1 on February 21st, 2011). A typical example of   tidally triggered large EQs by the M1 tidal component

A short note on the two most recent large EQs of New Zealand (Mw=7.0 on September 3rd, 2010 and Mw=6.1 on February 21st, 2011). A typical example of tidally triggered large EQs by the M1 tidal component

๋ณธ ๋…ผ๋ฌธ์€ ์กฐ์„ ํŒŒ๋™์ด ํฐ ์ง€์ง„ ๋ฐœ์ƒ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋ถ„์„ํ•˜๋ฉฐ, ํŠนํžˆ M1 ์„ฑ๋ถ„์˜ ์—ญํ• ์„ ๊ฐ•์กฐํ•˜๊ณ  ์žˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” 2010๋…„๊ณผ 2011๋…„ ๋‰ด์งˆ๋žœ๋“œ์—์„œ ๋ฐœ์ƒํ•œ ๋‘ ์ฐจ๋ก€์˜ ๋Œ€๊ทœ๋ชจ ์ง€์ง„(Mw 7.0 ๋ฐ Mw 6.1)์„ ํ†ตํ•ด ์กฐ์„ ํŒŒ๋™์ด ์ง€์ง„ ๋ฐœ์ƒ์— ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋Š”์ง€ ๊ฒ€์ฆํ•˜๊ณ ์ž ํ•œ๋‹ค. ์„œ๋ก  ์„œ๋ก ์—์„œ๋Š” ๋Œ€๋ถ€๋ถ„์˜ ์ง€์ง„ํ•™๊ณ„๊ฐ€ ํฐ ์ง€์ง„์€ ์‹œ๊ฐ„์ ์œผ๋กœ ์˜ˆ์ธก ๋ถˆ๊ฐ€๋Šฅํ•˜๋‹ค๊ณ  ๋ณด๋Š” ๊ด€์ ์„ ์†Œ๊ฐœํ•œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ํ†ต๊ณ„์ ์œผ๋กœ ์ž˜ ์•Œ๋ ค์ง„ ๋ฌผ๋ฆฌ์  ๋ฉ”์ปค๋‹ˆ์ฆ˜, ์ฆ‰ ํƒœ์–‘ ๋‹ฌ ๋ฐ ์ง€๊ตฌ ์ค‘๋ ฅ ์ƒํ˜ธ์ž‘์šฉ์œผ๋กœ ์ƒ์„ฑ๋˜๋Š” ์กฐ์„ ํŒŒ๋™์ด ํŠน์ • ์‹œ์ ์— ์ง€์ง„ ๋ฐœ์ƒ์„ ์œ ๋ฐœํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ์ ์„

Physics
Weighted Radial Variation for Node Feature Classification

Weighted Radial Variation for Node Feature Classification

๋ณธ ๋…ผ๋ฌธ์€ ๋ณต์žกํ•œ ๋„คํŠธ์›Œํฌ์—์„œ ๋…ธ๋“œ ํŠน์„ฑ ๋ถ„๋ฅ˜์˜ ์ƒˆ๋กœ์šด ์ ‘๊ทผ๋ฒ•์ธ ๊ฐ€์ค‘ ๋ฐฉ์‚ฌ ๋ณ€์ด(WRV) ๊ธฐ๋ฒ•์„ ์ œ์•ˆํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. WRV๋Š” ๊ฐ ๋…ธ๋“œ์— ๋Œ€ํ•œ ๋ฒกํ„ฐ ํ๋ฆ„ ๊ตฌ์„ฑ์— ๊ธฐ๋ฐ˜ํ•˜์—ฌ, ์นด๋ฅด๋””๋‚˜๋ฆฌํ‹ฐ(๋…ธ๋“œ ๊ฐ„ ์—ฐ๊ฒฐ ์ˆ˜), ๋ฐฉํ–ฅ, ๊ธธ์ด, ๊ทธ๋ฆฌ๊ณ  ํ๋ฆ„ ํฌ๊ธฐ์˜ ์ธก๋ฉด์—์„œ ๋™๊ธฐํ™”๋œ ๊ฐ ์—”ํ‹ฐํ‹ฐ์˜ ๋ฒกํ„ฐ๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ์ด๋Š” ๋ณต์žกํ•œ ๋„คํŠธ์›Œํฌ ๋ถ„์„์—์„œ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋Š”๋ฐ, ํŠนํžˆ ๋น„์ธ์ ‘ ๊ณต๊ฐ„์— ์—ฐ๊ฒฐ๋˜๋Š” ์ธ๊ฐ„๊ณผ ์ •๋ณด ํ๋ฆ„์˜ ๋ณต์žกํ•œ ์—ญํ•™์„ ์ดํ•ดํ•˜๋Š” ๋ฐ ์œ ์šฉํ•ฉ๋‹ˆ๋‹ค. WRV ๊ณผ์ •์€ ๋ณ„ ๋ชจ์–‘ ์—”ํ‹ฐํ‹ฐ์˜ ๊ฐœ๋ณ„ ํ๋ฆ„ ๋ฒกํ„ฐ๋ฅผ 0 360ยฐ ์ŠคํŽ™ํŠธ๋Ÿผ์— ํŽผ์ณ ๋…ํŠนํ•œ ์‹ ํ˜ธ๋ฅผ ํ˜•์„ฑํ•˜๋ฉฐ, ์ด

Computer Science Computer Vision Physics
$sigma$-homogeneity of Borel sets

$sigma$-homogeneity of Borel sets

๋ณธ ๋…ผ๋ฌธ์€ ๋ณด๋  ์ง‘ํ•ฉ์˜ ๋™์งˆ์„ฑ์— ๋Œ€ํ•œ ๊นŠ์ด ์žˆ๋Š” ์ดํ•ด๋ฅผ ์ œ๊ณตํ•˜๋ฉฐ, ํŠนํžˆ ์นธํ† ์–ด ์ง‘ํ•ฉ C ๋‚ด์—์„œ ๋ณด๋  ์ง‘ํ•ฉ์˜ ๊ตฌ์กฐ์™€ ๊ทธ ์„ฑ์งˆ์„ ํƒ๊ตฌํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” h ๋™์งˆ ๊ณต๊ฐ„์ด๋ผ๋Š” ๊ฐœ๋…์„ ์ค‘์‹ฌ์œผ๋กœ ์ง„ํ–‰๋˜๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ๋ณด๋  ์ง‘ํ•ฉ์˜ ๋™์งˆ์„ฑ์„ ๋ถ„์„ํ•˜๊ณ  ์žˆ๋‹ค. 1. ๊ธฐ๋ณธ ๊ฐœ๋… ๋ฐ ์ •์˜ ๋…ผ๋ฌธ์—์„œ๋Š” ๋จผ์ € ๋ช‡ ๊ฐ€์ง€ ์ค‘์š”ํ•œ ์šฉ์–ด๋ฅผ ์ •์˜ํ•œ๋‹ค: ์นธํ† ์–ด ์ง‘ํ•ฉ (C) : ์ด์‚ฐ์  ์ˆ˜์™€ ํ•ฉ๋ฆฌ์  ์ˆ˜๋ฅผ ๊ฐ๊ฐ P, Q๋กœ ํ‘œ๊ธฐํ•˜๋ฉฐ, ์‹ค์ˆ˜ R์€ P์™€ Q์˜ ํ•ฉ์ง‘ํ•ฉ์œผ๋กœ ํ‘œํ˜„๋œ๋‹ค. h ๋™์งˆ ๊ณต๊ฐ„ : 0์ฐจ์› ํ† ํด๋กœ์ง€ ๊ณต๊ฐ„ X๊ฐ€ ๋ชจ๋“  ๋น„๊ณตํ—ˆ ํด๋กœํ”„ ์—ด๋ถ„ U์— ๋Œ€ํ•ด U์™€ X๊ฐ€ ํ™ˆ๋ชจ๋ฅดํ”ฝ(h

Mathematics
Preservation of the Borel class under open-$LC$ functions

Preservation of the Borel class under open-$LC$ functions

๋ณธ ๋…ผ๋ฌธ์€ ๋ณด๋  ์ง‘ํ•ฉ๊ณผ ๊ทธ ๋ณด๋  ํด๋ž˜์Šค์— ๋Œ€ํ•œ ์ค‘์š”ํ•œ ์ด๋ก ์  ๊ฒฐ๊ณผ๋ฅผ ์ œ๊ณตํ•œ๋‹ค. ํŠนํžˆ, ๊ฐœ๋ฐฉํ˜• ํด๋กœ์ฆˆ๋“œ(clopen) ํ•จ์ˆ˜๋ผ๋Š” ์ƒˆ๋กœ์šด ๊ฐœ๋…์„ ๋„์ž…ํ•˜์—ฌ, ์ด๋Ÿฌํ•œ ํ•จ์ˆ˜๊ฐ€ ํŠน์ • ์กฐ๊ฑด ํ•˜์—์„œ ๋ณด๋  ์ง‘ํ•ฉ์˜ ๋ณด๋  ํด๋ž˜์Šค๋ฅผ ์œ ์ง€ํ•˜๋Š” ๊ฒƒ์„ ์ฆ๋ช…ํ•˜๊ณ  ์žˆ๋‹ค. 1. ์„œ๋ก  ์„œ๋ก ์—์„œ๋Š” ๋ณด๋  ์ง‘ํ•ฉ๊ณผ ๊ทธ ๋ณด๋  ํด๋ž˜์Šค์— ๋Œ€ํ•œ ๊ธฐ์กด ์—ฐ๊ตฌ๋ฅผ ๊ฐ„๋žตํžˆ ์†Œ๊ฐœํ•œ๋‹ค. ํŠนํžˆ, ๋ณด๋  ์ง‘ํ•ฉ C์˜ ๋ถ€๋ถ„ ์ง‘ํ•ฉ X์™€ ์—ฐ์† ํ•จ์ˆ˜ f: X โ†’ Y๊ฐ€ ์ฃผ์–ด์กŒ์„ ๋•Œ, ๋งŒ์•ฝ ๋ชจ๋“  ํด๋กญ์—” ์„ธํŠธ U์˜ ์ด๋ฏธ์ง€ f(U)๊ฐ€ ์—ด๋ฆฐ ์ง‘ํ•ฉ์ด๊ฑฐ๋‚˜ ๋‹ซํžŒ ์ง‘ํ•ฉ์ด๋ผ๋ฉด, Y๋Š” ๋™์ผํ•œ ๋ณด๋  ํด๋ž˜์Šค๋ฅผ ๊ฐ€์ง„๋‹ค๋Š” ๊ฒฐ๊ณผ๋ฅผ ์–ธ๊ธ‰

Mathematics
Echo-based measurement of the speed of sound

Echo-based measurement of the speed of sound

์ด ๋…ผ๋ฌธ์€ ๊ฐ„๋‹จํ•œ ์‹คํ—˜ ๋ฐฉ๋ฒ•์œผ๋กœ ์Œ์†์„ ์ธก์ •ํ•˜๋Š” ๊ณผ์ •๊ณผ ๊ทธ ๊ฒฐ๊ณผ๋ฅผ ์ƒ์„ธํžˆ ์„ค๋ช…ํ•˜๊ณ  ์žˆ๋‹ค. ์—ฐ๊ตฌ์˜ ํ•ต์‹ฌ์€ ํ’์„ ์ด ํ„ฐ์ง€๋Š” ์ˆœ๊ฐ„๋ถ€ํ„ฐ ์—์ฝ”๊ฐ€ ๋„์ฐฉํ•  ๋•Œ๊นŒ์ง€์˜ ์‹œ๊ฐ„ ์ฐจ์ด๋ฅผ ํ†ตํ•ด ์Œ์†์„ ๊ณ„์‚ฐํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์‹คํ—˜ ๋ฐฉ๋ฒ• ๋ฐ ์žฅ๋น„ ์‹คํ—˜์—์„œ๋Š” Audacity๋ผ๋Š” ์˜ค๋””์˜ค ํŽธ์ง‘ ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ’์„ ์ด ํ„ฐ์ง€๋Š” ์ˆœ๊ฐ„๊ณผ ์—์ฝ”๊ฐ€ ๋„์ฐฉํ•œ ์‹œ์ ์„ ์ •ํ™•ํžˆ ์ธก์ •ํ•˜์˜€๋‹ค. ํ’์„ ์€ ํฐ ํ‰ํ‰ํ•œ ๋ฒฝ์—์„œ 45.72m ๋–จ์–ด์ง„ ๊ณณ์—์„œ ํ„ฐ์กŒ์œผ๋ฉฐ, ์‹คํ—˜ ํ™˜๊ฒฝ์˜ ์˜จ๋„๋Š” 18.3ยฐC, ์Šต๋„๋Š” 16.1%, ํ˜„์ง€ ๊ณ ๋„๋Š” 360m์˜€๋‹ค. ๊ฒฐ๊ณผ ๋ถ„์„ ์‹คํ—˜์—์„œ๋Š” ์„ธ ๊ฐœ์˜ ํ’์„ ์„ ์‚ฌ์šฉํ•˜์—ฌ ์ธก์ •์„

Physics
Upside Down Magic, Bimagic, Palindromic Squares and Pythagoras Theorem   on a Palindromic Day - 11.02.2011

Upside Down Magic, Bimagic, Palindromic Squares and Pythagoras Theorem on a Palindromic Day - 11.02.2011

๋ณธ ๋…ผ๋ฌธ์€ ์ˆ˜ํ•™์  ๊ตฌ์กฐ์™€ ์˜ˆ์ˆ ์  ๋””์ž์ธ ์‚ฌ์ด์˜ ํฅ๋ฏธ๋กœ์šด ์—ฐ๊ฒฐ ๊ณ ๋ฆฌ๋ฅผ ์ œ์‹œํ•˜๋ฉฐ, ํŠนํžˆ ๋งˆ์ˆ  ์ •์‚ฌ๊ฐํ˜•๊ณผ ํ”ผํƒ€๊ณ ๋ผ์Šค ์ •๋ฆฌ ๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ํƒ๊ตฌํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” 2011๋…„ 2์›” 11์ผ(11.02.2011)์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜์—ฌ, ์ด ๋‚ ์งœ์—์„œ ์‚ฌ์šฉ๋˜๋Š” ์ˆซ์ž๋“ค(0, 1, 2)๋งŒ์„ ํ™œ์šฉํ•˜์—ฌ ๋‹ค์–‘ํ•œ ํฌ๊ธฐ์˜ ๋งˆ์ˆ  ์ •์‚ฌ๊ฐํ˜•๊ณผ ๋น„๋งˆ์ˆ  ์ •์‚ฌ๊ฐํ˜•์„ ์ƒ์„ฑํ•˜์˜€์Šต๋‹ˆ๋‹ค. ํ”ผํƒ€๊ณ ๋ผ์Šค ์ •๋ฆฌ์™€์˜ ์—ฐ๊ด€์„ฑ ๋…ผ๋ฌธ์—์„œ๋Š” ํŠนํžˆ 3x3, 4x4, 5x5 ํฌ๊ธฐ์˜ ๋งˆ์ˆ  ์ •์‚ฌ๊ฐํ˜•์ด ํ”ผํƒ€๊ณ ๋ผ์Šค ์ •๋ฆฌ๋ฅผ ๋งŒ์กฑํ•˜๋Š” ๊ฒƒ์„ ํ™•์ธํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ฐ ๋ธ”๋ก์˜ ํ•ฉ์€ S1 33 (3x3), S14ร—4 444

Mathematics
On the impossibility of non-static quantum bit commitment between two   parties

On the impossibility of non-static quantum bit commitment between two parties

๋ณธ ๋…ผ๋ฌธ์€ ์–‘์ž ๋น„ํŠธ ์ปค๋ฐ‹๋จผํŠธ(QBC) ํ”„๋กœํ† ์ฝœ์˜ ๋ณด์•ˆ์„ฑ๊ณผ ํ•œ๊ณ„์— ๋Œ€ํ•ด ์‹ฌ๋„ ์žˆ๊ฒŒ ๋ถ„์„ํ•ฉ๋‹ˆ๋‹ค. QBC๋Š” ์•”ํ˜ธํ™”์—์„œ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋Š”๋ฐ, ์ด๋Š” ์ „์†ก์ž๊ฐ€ ์ˆ˜์‹ ์ž์—๊ฒŒ 0 ๋˜๋Š” 1 ์ค‘ ํ•˜๋‚˜์˜ ๋น„ํŠธ๋ฅผ ์•ฝ์†ํ•˜๋Š” ๊ณผ์ •์ž…๋‹ˆ๋‹ค. ์ด ํ”„๋กœ์„ธ์Šค๋Š” ๋ฐ”์ธ๋”ฉ ์†์„ฑ๊ณผ ๊ฐ์ถ”๋Š” ์†์„ฑ์„ ๋™์‹œ์— ์ถฉ์กฑํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ๋ฐ”์ธ๋”ฉ ์†์„ฑ์€ ์ „์†ก์ž๊ฐ€ ์ปค๋ฐ‹๋จผํŠธ ๋‹จ๊ณ„ ์ดํ›„์— ์•ฝ์†ํ•œ ๋น„ํŠธ ๊ฐ’์„ ๋ณ€๊ฒฝํ•  ์ˆ˜ ์—†์Œ์„ ์˜๋ฏธํ•˜๋ฉฐ, ๊ฐ์ถ”๋Š” ์†์„ฑ์€ ์ˆ˜์‹ ์ž์—๊ฒŒ ์ปค๋ฐ‹๋จผํŠธ ๋‹จ๊ณ„ ์ด์ „์—๋Š” ์•ฝ์†๋œ ๋น„ํŠธ ๊ฐ’์ด ์•Œ๋ ค์ง€์ง€ ์•Š์Œ์„ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋‘ ๊ฐ€์ง€ ์†์„ฑ์„ ๋™์‹œ์— ์ถฉ์กฑํ•˜๋Š” ๊ณ ์ „์  ๋น„ํŠธ ์ปค๋ฐ‹๋จผํŠธ ํ”„๋กœํ† ์ฝœ

Quantum Physics Computer Science Cryptography and Security
A Reformulation of the Arora-Rao-Vazirani Structure Theorem

A Reformulation of the Arora-Rao-Vazirani Structure Theorem

๋งค๋ ฅ์ ์ธ ํ•œ๊ธ€ ์ œ๋ชฉ: ์•„๋กœ๋ผ ๋ผ์˜ค ๋ฐ”์ง€๋ผ๋‹ˆ ๊ตฌ์กฐ ์ •๋ฆฌ์˜ ๊ทธ๋ž˜ํ”„ ์ด๋ก ์  ์žฌํ•ด์„ ์ดˆ๋ก ์ „์ฒด ๋ฒˆ์—ญ ๋ฐ ์ •๋ฆฌ: ๋ณธ ๋…ผ๋ฌธ์€ ์•„๋กœ๋ผ, ๋ผ์˜ค, ๋ฐ”์ง€๋ผ๋‹ˆ(ARV)๊ฐ€ ์ฆ๋ช…ํ•œ ๊ตฌ์กฐ ์ •๋ฆฌ๋ฅผ ํ™•์žฅ๋œ ๊ทธ๋ž˜ํ”„ ๊ฐœ๋…์œผ๋กœ ์žฌํ•ด์„ํ•ฉ๋‹ˆ๋‹ค. ARV๋Š” ๊ท ํ˜• ๋ถ„๋ฆฌ ๋ฌธ์ œ์™€ ๊ท ์ผ ๊ฐ€์žฅ ํฌ๋ฐ• ์ ˆ๋‹จ ๋ฌธ์ œ์— ๋Œ€ํ•ด O(โˆšlog n) ๊ทผ์‚ฌ์น˜๋ฅผ ๋„์ถœํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋“ค์˜ ๊ฒฐ๊ณผ๋Š” ์‚ผ๊ฐ ๋ถ€๋“ฑ์‹์„ ๋งŒ์กฑํ•˜๋Š” ์  ์ง‘ํ•ฉ์˜ ๊ธฐํ•˜ํ•™์  ์ง„์ˆ ์— ๊ธฐ๋ฐ˜ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์ดํ›„ ๊ทผ์‚ฌ ์•Œ๊ณ ๋ฆฌ์ฆ˜๊ณผ ๋ฉ”ํŠธ๋ฆญ ์ž„๋ฒ ๋”ฉ ์—ฐ๊ตฌ์˜ ํ† ๋Œ€๊ฐ€ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ARV ๊ตฌ์กฐ ์ •๋ฆฌ๋ฅผ ํ™•์žฅ๋œ ๊ทธ๋ž˜ํ”„ GV,ฯต์—์„œ ํฐ ์ง‘ํ•ฉ์˜ ํ™•์žฅ ๊ฐœ๋…์œผ

Computer Science Discrete Mathematics
A Table-top Blast Driven Shock Tube

A Table-top Blast Driven Shock Tube

๋ณธ ๋…ผ๋ฌธ์€ ํ…Œ์ด๋ธ”ํƒ‘ ์ถฉ๊ฒฉ๊ด€์„ ์„ค๊ณ„ํ•˜๊ณ  ์„ฑ๋Šฅ ๋ถ„์„ํ•œ ๋‚ด์šฉ์„ ๋‹ค๋ฃจ๊ณ  ์žˆ์œผ๋ฉฐ, ์ด๋Š” ๊ธฐ์กด์˜ ์••์ถ• ๊ณต๊ธฐ ์ถ”์ง„ ๋ฐ ํญ๋ฐœ ์ถ”์ง„ ์ถฉ๊ฒฉ๊ด€๋ณด๋‹ค ๋” ๊ฐ„ํŽธํ•˜๊ณ  ์ ‘๊ทผ ๊ฐ€๋Šฅํ•œ ์‹คํ—˜ ์žฅ์น˜๋ฅผ ์ œ์‹œํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ, ์ด ์ถฉ๊ฒฉ๊ด€์€ ์†Œ์ด ์ดˆ์ ์— ํญ๋ฐœ์„ฑ ํ˜ผํ•ฉ๋ฌผ์„ ์‚ฌ์šฉํ•˜์—ฌ ์ด์—ด ์ž์ฒด๋ฅผ ์ถฉ๊ฒฉ๊ด€์œผ๋กœ ํ™œ์šฉํ•˜๋Š” ๋ฐฉ์‹์„ ํ†ตํ•ด, ์‹คํ—˜ ๋Œ€์ƒ์˜ ํŠน์ • ์˜์—ญ์— ํญ๋ฐœํŒŒ๋ฅผ ๊ตญ์†Œ์ ์œผ๋กœ ์ ์šฉํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ์ ์—์„œ ๋…์ฐฝ์ ์ž…๋‹ˆ๋‹ค. 1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ์ด๋ผํฌ์™€ ์•„ํ”„๊ฐ€๋‹ˆ์Šคํƒ„์—์„œ ๋ฐœ์ƒํ•œ ์™ธ์ƒ์„ฑ ๋‡Œ ์†์ƒ์˜ ์ฆ๊ฐ€๋Š” ํญ๋ฐœํŒŒ์— ๋Œ€ํ•œ ์ƒ๋ฌผํ•™์  ์˜ํ–ฅ๊ณผ ๋‹ค์–‘ํ•œ ์žฌ๋ฃŒ์˜ ํญ๋ฐœํŒŒ ์ „๋‹ฌ ํŠน์„ฑ์„ ์—ฐ๊ตฌํ•˜๋Š” ํ•„์š”์„ฑ์„ ๊ฐ•์กฐํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ธฐ

Physics
5,000,000 Delays -- Some Statistics

5,000,000 Delays -- Some Statistics

: ๋ณธ ๋…ผ๋ฌธ์€ VLBI ์ง€์—ฐ ์‹œ๊ฐ„ ๋ฐ์ดํ„ฐ๋ฅผ ํ†ตํ•ด ์ฒœ๋ฌธํ•™์˜ ์žฅ๊ธฐ์  ๋ฐœ์ „์„ ๋ถ„์„ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. 5,000,000๊ฐœ ์ด์ƒ์˜ VLBI ์ง€์—ฐ ์‹œ๊ฐ„์ด ์ˆ˜์ง‘๋œ ๊ฒƒ์€ ์ฒœ๋ฌธํ•™ ๋ถ„์•ผ์—์„œ ์ค‘์š”ํ•œ ์ด์ •ํ‘œ๋กœ, ์ด๋ฅผ ํ†ตํ•ด ๋‹ค์–‘ํ•œ ํ†ต๊ณ„์™€ ํŒจํ„ด์„ ํŒŒ์•…ํ•  ์ˆ˜ ์žˆ๊ฒŒ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๊ด€์ธก ์„ธ์…˜๊ณผ ์—ญ๋Ÿ‰ ๋ถ„์„ ๊ด€์ธก ์„ธ์…˜์€ 24์‹œ๊ฐ„ ์„ธ์…˜์ด ๊ฐ€์žฅ ๋งŽ์ด ์ด๋ฃจ์–ด์กŒ์œผ๋ฉฐ, ์ด๋Š” ์—ฐ๊ตฌ์˜ ์ค‘์š”์„ฑ์„ ๋ฐ˜์˜ํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ, 18์‹œ๊ฐ„ ์ด์ƒ ์ง€์†๋œ ์„ธ์…˜ ์ˆ˜๊ฐ€ ์ „์ฒด ์„ธ์…˜ ์ค‘ ์ƒ๋‹น ๋ถ€๋ถ„์„ ์ฐจ์ง€ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์žฅ๊ธฐ ๊ด€์ธก์€ ๋ฐ์ดํ„ฐ์˜ ์ •ํ™•์„ฑ๊ณผ ์‹ ๋ขฐ์„ฑ์„ ๋†’์ด๋Š” ๋ฐ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•ฉ๋‹ˆ๋‹ค. ์—ญ๋Ÿ‰ ๋ถ„์„์—์„œ

Physics
Primary Initiation of Submarine Canyons

Primary Initiation of Submarine Canyons

1. ์ด๋ก ์  ๋ฐฐ๊ฒฝ๊ณผ ๊ฐ€์„ค ์ €์ž์ธ J. Marvin Herndon๋Š” ๋ณธ ๋…ผ๋ฌธ์—์„œ ์ง€๊ตฌ์˜ ์ดˆ๊ธฐ ๊ธฐ์›์„ ๋ชฉ์„ฑ๊ณผ ์œ ์‚ฌํ•œ ๊ฐ€์Šคํ–‰์„ฑ์œผ๋กœ ์ œ์•ˆํ•œ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฐ€์„ค์€ ํƒœ์–‘๊ณ„ ๋‚ด์™ธ์—์„œ ๊ด€์ฐฐ๋˜๋Š” ๋‹ค์–‘ํ•œ ํ–‰์„ฑ ๊ตฌ์กฐ์™€ ์ผ์น˜ํ•˜๋ฉฐ, ํŠนํžˆ ์™ธ๊ณ„ ํ–‰์„ฑ ์ค‘ ์ผ๋ถ€๊ฐ€ ๋ณ„๊ณผ ๊ฐ™์€ ํฌ๊ธฐ์˜ ๊ฐ€์Šคํ–‰์„ฑ์„ ํฌํ•จํ•˜๊ณ  ์žˆ๋‹ค๋Š” ์ ์„ ๊ทผ๊ฑฐ๋กœ ํ•œ๋‹ค. Herndon์€ ์ด ์ดˆ๊ธฐ ์ƒํƒœ์—์„œ ์ง€๊ตฌ๋Š” ์•ฝ 300๊ฐœ์˜ ํ˜„์žฌ ์ง€๊ตฌ ์งˆ๋Ÿ‰์— ํ•ด๋‹นํ•˜๋Š” ์ˆ˜์†Œ์™€ ํ—ฌ๋ฅจ ๋“ฑ ํœ˜๋ฐœ์„ฑ ์›์†Œ๋ฅผ ํฌํ•จํ•œ ๊ฑฐ๋Œ€ํ•œ ๊ฐ€์Šค ํ–‰์„ฑ์ด์—ˆ๋‹ค๊ณ  ์ฃผ์žฅํ•œ๋‹ค. 2. ์ „์ง€๊ตฌ ํƒˆ๊ธฐ ์—ญํ•™ ์ „์ง€๊ตฌ ํƒˆ๊ธฐ ์—ญํ•™์€ ์ด ์ดˆ๊ธฐ ์ƒํƒœ์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์ค‘์š”ํ•œ ์—ญํ•™์ 

Physics
A Short Note on Fuzzy Characteristic Interior Ideals of   Po-Gamma-Semigroups

A Short Note on Fuzzy Characteristic Interior Ideals of Po-Gamma-Semigroups

: ๋ณธ ๋…ผ๋ฌธ์€ ๋ถˆํ™•์‹คํ•œ ๋ถ€๋ถ„ ์ˆœ์„œ ฮ“ ๋ฐ˜๊ตฐ(Po ฮ“ semigroup)์ด๋ผ๋Š” ๋ณต์žกํ•œ ์ˆ˜ํ•™ ๊ตฌ์กฐ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜๋ฉฐ, ํŠนํžˆ ์ด ๊ตฌ์กฐ์—์„œ์˜ ํŠน์„ฑ ์ด์ƒ์ (fuzzy characteristic ideal) ๊ฐœ๋…์„ ํƒ๊ตฌํ•œ๋‹ค. ์ด๋Ÿฌํ•œ ์—ฐ๊ตฌ๋Š” ์ถ”์ƒ ๋Œ€์ˆ˜ํ•™๊ณผ ๋ถˆํ™•์‹ค์„ฑ ์ด๋ก  ๊ฐ„์˜ ๊ต์ฐจ์ ์—์„œ ์ค‘์š”ํ•œ ์˜๋ฏธ๋ฅผ ๊ฐ–๋Š”๋‹ค. 1. ๊ธฐ๋ณธ ์ •์˜์™€ ๋ฐฐ๊ฒฝ ๋…ผ๋ฌธ์€ ์‹œ์ž‘ ๋ถ€๋ถ„์—์„œ ฮ“ ๋ฐ˜๊ตฐ์ด๋ผ๋Š” ๊ฐœ๋…์„ ์†Œ๊ฐœํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด Po ฮ“ semigroups์˜ ๊ธฐ์ดˆ์ ์ธ ์„ฑ์งˆ๋“ค์„ ์„ค๋ช…ํ•œ๋‹ค. ์—ฌ๊ธฐ์„œ ์ฃผ๋ชฉํ•  ์ ์€, ์ด๋“ค ๊ตฌ์กฐ๊ฐ€ ์ผ๋ฐ˜์ ์ธ ๋ฐ˜๊ตฐ๋ณด๋‹ค ๋” ๋ณต์žกํ•œ ์—ฐ์‚ฐ ๊ตฌ์กฐ๋ฅผ ๊ฐ€์ง„๋‹ค๋Š” ๊ฒƒ์ด

Mathematics
Finding Supernova Ia Progenitors with the Chandra X-ray Observatory

Finding Supernova Ia Progenitors with the Chandra X-ray Observatory

: ๋ณธ ์—ฐ๊ตฌ๋Š” Ia ์ดˆ์‹ ์„ฑ์˜ ์›์ฒœ ํƒ์ƒ‰์ด๋ผ๋Š” ๋ณต์žกํ•œ ๊ณผ์ œ๋ฅผ ์ˆ˜ํ–‰ํ•˜๊ธฐ ์œ„ํ•ด ์ฐจ๋“œ๋ผ X ๋ ˆ์ด ๊ด€์ธก์†Œ์˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์˜€์Šต๋‹ˆ๋‹ค. Ia ์ดˆ์‹ ์„ฑ์€ ์šฐ์ฃผ ๊ฑฐ๋ฆฌ ๊ณ„์ธก์— ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋Š” ๋ฐ์€ ํ•ญ์„ฑ ํญ๋ฐœ๋กœ, ์ฒ ์˜ ์ฃผ์š” ๊ณต๊ธ‰์›์œผ๋กœ์„œ ์€ํ•˜ ํ˜•์„ฑ๊ณผ ์ง„ํ™”์— ๋Œ€ํ•œ ์ดํ•ด์—๋„ ํ•„์ˆ˜์ ์ž…๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด๋Ÿฌํ•œ ์ค‘์š”ํ•œ ์ฒœ์ฒด๋“ค์˜ ์›์ฒœ์ธ ๋ฐฑ์ƒ‰์™œ์„ฑ์˜ ์ •ํ™•ํ•œ ํŠน์„ฑ์€ ์—ฌ์ „ํžˆ ์ˆ˜์ˆ˜๊ป˜๋ผ๋กœ ๋‚จ์•„ ์žˆ์Šต๋‹ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‘ ๊ฐ€์ง€ ์ฃผ๋œ ์‹œ๋‚˜๋ฆฌ์˜ค, ์ฆ‰ ๋‹จ์ผ ๋ฐฑ์ƒ‰์™œ์„ฑ(SD) ์‹œ๋‚˜๋ฆฌ์˜ค์™€ ์ด์ค‘ ๋ฐฑ์ƒ‰์™œ์„ฑ(DD) ์‹œ๋‚˜๋ฆฌ์˜ค๋ฅผ ๋น„๊ตํ•˜์˜€์Šต๋‹ˆ๋‹ค. SD ์‹œ๋‚˜๋ฆฌ์˜ค๋Š” ๋ฐฑ์ƒ‰์™œ์„ฑ์ด ๋™๋ฐ˜์„ฑ๋ณ„๋กœ๋ถ€ํ„ฐ ๋ฌผ์งˆ์„ ํก

Astrophysics
Interaction of neutralino dark matter with cosmic rays and PAMELA/ATIC   data

Interaction of neutralino dark matter with cosmic rays and PAMELA/ATIC data

: 1. ์„œ๋ก  ๋ถ„์„ ์•”ํ‘๋ฌผ์งˆ์€ ์ฃผ๋กœ ์ค‘๋ ฅ์— ์˜ํ•ด๋งŒ ๋“œ๋Ÿฌ๋‚˜๋Š” ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ ธ ์žˆ์ง€๋งŒ, ๋น›๋‚˜๋Š” ์ค‘์„ฑ๋ฏธ์ž ์•”ํ‘๋ฌผ์งˆ์˜ ๊ฒฝ์šฐ, ๊ฐ€๋ฒผ์šด ์ค‘์„ฑ๋ฏธ์ž(mโ‚™ โ‰ค 10โปยณ GeV)๋กœ ๊ตฌ์„ฑ๋  ๋•Œ์—๋Š” ์•ฝํ•œ ์ƒํ˜ธ์ž‘์šฉ์—๋„ ์ฐธ์—ฌํ•  ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์šฐ์ฃผ์„  ์–‘์„ฑ์ž์™€ ์ค‘์„ฑ๋ฏธ์ž ์•”ํ‘๋ฌผ์งˆ ๊ฐ„์˜ ์ถฉ๋Œ์„ ๋ถ„์„ํ•œ๋‹ค. ์ด ๊ณผ์ •์€ ์ฐจ๊ธฐ(chargino) ์ƒ์„ฑ๊ณผ ๋ ˆํ”„ํ†ค ๋ถ•๊ดด๋ฅผ ๋™๋ฐ˜ํ•˜๋ฉฐ, ์ตœ์ข…์ ์œผ๋กœ ์ „์ž ๋ฐ˜์ค‘์„ฑ๋ฏธ์ž ์Œ์ด ์ƒ์„ฑ๋œ๋‹ค. 2. ๊ณผ์ • ๋ถ„์„ ๋…ผ๋ฌธ์—์„œ๋Š” ์—๋„ˆ์ง€ ๋ฐ ์šด๋™๋Ÿ‰ ๋ณด์กด ๋ฒ•์น™์„ ์‚ฌ์šฉํ•˜์—ฌ ์ค‘์„ฑ๋ฏธ์ž์™€ ์ฐจ๊ธฐ์˜ ์—๋„ˆ์ง€๋ฅผ ๊ณ„์‚ฐํ•œ๋‹ค. ์ด๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๋ฐฉ์ •์‹์œผ๋กœ ํ‘œํ˜„๋œ๋‹ค: ์ค‘

Astrophysics Data
Ohmic Power of Ideal Pulsars

Ohmic Power of Ideal Pulsars

๋งค๋ ฅ์ ์ธ ํ•œ๊ธ€ ์ œ๋ชฉ: ์ด์ƒ ํŽ„์‚ฌ์˜ ์˜ค๋ฏน ํŒŒ์›Œ ์ดˆ๋ก ์ „์ฒด ๋ฒˆ์—ญ ๋ฐ ์ •๋ฆฌ: ์ด ๋…ผ๋ฌธ์—์„œ๋Š” ์ด์ƒ์ ์ธ ํŽ„์‚ฌ ์ž๊ธฐ๊ถŒ์—์„œ ์˜ค๋ฏน ํžˆํŒ…์„ ์˜ˆ์ธกํ•˜๋Š” ์ƒˆ๋กœ์šด ํ•ด๊ฒฐ์ฑ…์„ ์ œ์‹œํ•œ๋‹ค. ํ‘œ์ค€ ์ •์  ํž˜์ž์œ  ๋ฐฉ์ •์‹์„ ์‚ฌ์šฉํ•˜์—ฌ ์ถ•๋Œ€์นญ์ ์ธ ์ด์ƒ ํŽ„์‚ฌ ์ž๊ธฐ๊ถŒ์„ ๊ณ„์‚ฐํ•˜์ง€๋งŒ, ์ ๋„์—์„œ์˜ ์ƒˆ๋กœ์šด ๊ฒฝ๊ณ„ ์กฐ๊ฑด์„ ๋„์ž…ํ•œ๋‹ค. ์ด ์ƒˆ๋กœ์šด ํ•ด๊ฒฐ์ฑ…์— ๋”ฐ๋ฅด๋ฉด, ์•ฝ 50%์˜ ํฌ์ธํŒ… ํ”Œ๋Ÿญ์ด ์ ๋„ ์ „๋ฅ˜์ธต(๋น› ์›ํ†ต ๋ฐ–)์—์„œ ์†์‹ค๋˜๋ฉฐ, ๊ทธ ์ค‘ ์•ฝ 10%๋Š” 1~1.5 ๋น› ์›ํ†ต ๋ฐ˜๊ฒฝ ๋‚ด์—์„œ ์†์‹ค๋œ๋‹ค. ์˜ค๋ฏน ์—ด์€ ๋ณต์‚ฌ, ์Œ์ƒ์„ฑ ๋ฐ ์ „ํ•˜ ๊ฐ€์†์— ํก์ˆ˜๋˜๋Š” ๊ฒƒ์œผ๋กœ ์ถ”์ •๋˜์ง€๋งŒ, ์ •ํ™•ํ•œ ๋น„์œจ์€ ๋ถˆ๋ถ„๋ช…ํ•˜๋‹ค. ์‹ฌ

Astrophysics
Modelling the synchrotron emission from O-star colliding wind binaries

Modelling the synchrotron emission from O-star colliding wind binaries

: ๋ณธ ๋…ผ๋ฌธ์€ Cyg OB2 No. 9๋ผ๋Š” Oํ˜• ๋ณ„ ์ถฉ๋Œ ๋ฐ”๋žŒ ์ด์ค‘์„ฑ ์‹œ์Šคํ…œ์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๋™์กฐ๋ณต์‚ฌ ๋ฐฉ์ถœ์— ๋Œ€ํ•œ ๋ชจ๋ธ๋ง ์—ฐ๊ตฌ๋ฅผ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ด ์‹œ์Šคํ…œ์€ 1984๋…„ ๋น„์—ด์  ๋ฐฉ์ถœ์›์œผ๋กœ ์ฒ˜์Œ ๋ฐœ๊ฒฌ๋˜์—ˆ์œผ๋ฉฐ, Van Loo ์™ธ (2008)์˜ VLA ๊ด€์ธก์„ ํ†ตํ•ด 2.35๋…„ ์ฃผ๊ธฐ๋ฅผ ๊ฐ€์ง„ ๋™์กฐ๋ณต์‚ฌ ๋ฐœ์‚ฐ์„ฑ์„ ํ™•์ธํ•˜์˜€์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์ฃผ๊ธฐ์ ์ธ ๋ณ€๋™์€ ๋ณ„ํ’ ์ถฉ๋Œ์ด ๋น„์—ด์  ๋ผ๋””์˜ค ๋ฐฉ์ถœ์˜ ์›์ธ์ž„์„ ์‹œ์‚ฌํ•˜๋ฉฐ, ์ด๋Š” Eichler & Usov (1993)์™€ Dougherty ์™ธ (2003), Pittard ์™ธ (2006) ๋“ฑ์˜ ์—ฐ๊ตฌ์—์„œ ์ œ์‹œ๋œ ๊ฐ€์„ค๊ณผ ์ผ์น˜ํ•ฉ๋‹ˆ๋‹ค.

Model Astrophysics
A Novel Template-Based Learning Model

A Novel Template-Based Learning Model

: ๋ณธ ๋…ผ๋ฌธ์€ ํ…œํ”Œ๋ฆฟ ๊ธฐ๋ฐ˜ ํ•™์Šต ๋ชจ๋ธ์„ ํ†ตํ•ด ์ƒˆ๋กœ์šด ๊ด€์ฐฐ ๋ฐ์ดํ„ฐ๋ฅผ ์ดํ•ดํ•˜๋Š” ๋ฐฉ๋ฒ•์— ๋Œ€ํ•ด ์„ค๋ช…ํ•˜๊ณ  ์žˆ๋‹ค. ์ด ๋ชจ๋ธ์€ ์ฃผ๋กœ ๊ด€์ฐฐ ๋ฐ์ดํ„ฐ ๊ฐ„์˜ ์œ ์‚ฌ์„ฑ ํƒ์ƒ‰๊ณผ ๋น„๊ต๋ฅผ ํ†ตํ•ด ์ƒˆ๋กœ์šด ๊ฐœ๋…์„ ํ•™์Šตํ•˜๊ณ  ์ถ”์ƒํ™”ํ•˜๋Š”๋ฐ ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ๋‹ค. 1. ํ…œํ”Œ๋ฆฟ ๊ธฐ๋ฐ˜ ํ•™์Šต ๋ชจ๋ธ์˜ ๊ตฌ์„ฑ ์š”์†Œ ๊ธฐํ•˜ํ•™์  ๋ฌ˜์‚ฌ : ์ด ๋ชจ๋ธ์€ ๊ด€์ฐฐ ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐํ•˜ํ•™์ ์œผ๋กœ ๋ฌ˜์‚ฌํ•˜๋Š” ๋ฐฉ์‹์„ ์‚ฌ์šฉํ•œ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ๊ฐ์ฒด์˜ ๊ฒฝ๊ณ„์™€ ํ˜•ํƒœ๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ํŒŒ์•…ํ•  ์ˆ˜ ์žˆ๋‹ค. ์ธ๊ฐ„ ์‹œ๊ฐ ์‹ ๊ฒฝ ์‹œ์Šคํ…œ์— ์˜๊ฐ ๋ฐ›์€ ์„ค๋ช…์ž : ์ธ๊ฐ„์˜ ์‹œ๊ฐ ์ธ์ง€ ๊ณผ์ •์—์„œ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋Š” ์š”์†Œ๋“ค์„ ๋ชจ๋ธ๋งํ•˜์—ฌ, ๋” ์ •๊ตํ•œ ๋ฐ์ดํ„ฐ

Model Machine Learning Computer Science Learning
Jancars formal system for deciding bisimulation of first-order grammars   and its non-soundness

Jancars formal system for deciding bisimulation of first-order grammars and its non-soundness

: 1. ์ฒซ ๋ฒˆ์งธ ์ˆœ์„œ ๋ฌธ๋ฒ•๊ณผ ํ–‰๋™ ์•ŒํŒŒ๋ฒณ์˜ ์ •์˜ ๋…ผ๋ฌธ์€ ์ฒซ ๋ฒˆ์งธ ์ˆœ์„œ ๋ฌธ๋ฒ•์— ๋Œ€ํ•œ ๋น„์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด Jancar์˜ ํ˜•์‹ ์‹œ์Šคํ…œ์„ ๊ฒ€ํ† ํ•œ๋‹ค. ์ด ๊ณผ์ •์—์„œ ํ–‰๋™ ์•ŒํŒŒ๋ฒณ A์™€ ์ค‘๊ฐ„ ๋ผ๋ฒจ ์•ŒํŒŒ๋ฒณ T, ๊ทธ๋ฆฌ๊ณ  ๋งต LAB A: T โ†’ A๋ฅผ ์ •์˜ํ•œ๋‹ค. ์ด๋Ÿฌํ•œ ์ •์˜๋Š” ์ฒซ ๋ฒˆ์งธ ์ˆœ์„œ ๋ฌธ๋ฒ• G (N, A, R)์„ ๊ตฌ์„ฑํ•˜๋Š” ๋ฐ ํ•„์š”ํ•œ ๊ธฐ๋ณธ ์š”์†Œ๋ฅผ ์ œ๊ณตํ•˜๋ฉฐ, ์—ฌ๊ธฐ์„œ N์€ ๋น„ํ„ฐ๋ฏธ๋„ ์ง‘ํ•ฉ, A๋Š” ํ–‰๋™ ์•ŒํŒŒ๋ฒณ, ๊ทธ๋ฆฌ๊ณ  R์€ ๊ทœ์น™ ์ง‘ํ•ฉ์ด๋‹ค. 2. Jancar ํ˜•์‹ ์‹œ์Šคํ…œ์˜ ๊ฐœ์š” Jancar์˜ ํ˜•์‹ ์‹œ์Šคํ…œ์€

Computer Science Formal Languages Logic System
Another approach to parametric Bing and Krasinkiewicz maps

Another approach to parametric Bing and Krasinkiewicz maps

๋ณธ ๋…ผ๋ฌธ์€ ๋น„๋‹(Bing) ๋งต๊ณผ ํฌ๋ผ์‹ ํ‚ค์—๋น„์น˜(Krasinkiewicz) ๋งต์— ๋Œ€ํ•œ ์ƒˆ๋กœ์šด ์ ‘๊ทผ๋ฒ•์„ ์ œ์‹œํ•˜๋ฉฐ, ํŠนํžˆ ํŒŒ๋ผ์ฝคํŒฉํŠธ ๊ณต๊ฐ„์—์„œ ์ด๋Ÿฌํ•œ ๋งต๋“ค์ด ์–ด๋–ป๊ฒŒ ํ•จ์ˆ˜ ๊ณต๊ฐ„ ๋‚ด์—์„œ ๋ฐ€์ง‘ ๋ถ€๋ถ„ ์ง‘ํ•ฉ์„ ํ˜•์„ฑํ•˜๋Š”์ง€ ๋ถ„์„ํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” Pasynkov์˜ ๊ธฐ๋ฒ•์„ ํ™œ์šฉํ•˜์—ฌ, ๋น„๋‹ ๋ฐ ํฌ๋ผ์‹ ํ‚ค์—๋น„์น˜ ๋งต์ด ์–ด๋–ค ์กฐ๊ฑด ํ•˜์—์„œ ํŠน์ • ์„ฑ์งˆ์„ ๊ฐ–๊ฒŒ ๋˜๋Š”์ง€๋ฅผ ํƒ๊ตฌํ•œ๋‹ค. 1. ๋„์ž… ๋ฐ ๋ฐฐ๊ฒฝ ๋…ผ๋ฌธ์€ ๋น„๋‹ ๋งต๊ณผ ํฌ๋ผ์‹ ํ‚ค์—๋น„์น˜ ๋งต์˜ ์ •์˜์™€ ๊ด€๋ จ๋œ ์ด๋ก ์  ๋ฐฐ๊ฒฝ์„ ์„ค๋ช…ํ•œ๋‹ค. ๋น„๋‹ ๋งต์€ ์ปดํŒฉํŠธ ๊ณต๊ฐ„ ์‚ฌ์ด์˜ ๋งต ์ค‘, ๋ชจ๋“  ์„ฌ์œ ๊ฐ€ ๋น„๋‹ ๊ณต๊ฐ„์ธ ๊ฒฝ์šฐ๋ฅผ ๋งํ•˜๋ฉฐ, ์—ฌ๊ธฐ์„œ ๋น„๋‹ ๊ณต

Mathematics
Pulsar Magnetosphere

Pulsar Magnetosphere

: ์ด ๋…ผ๋ฌธ์€ ์ค‘์„ฑ์ž ๋ณ„ ์ฃผ๋ณ€์˜ ์ž๊ธฐ๊ถŒ ํ˜•์„ฑ์„ ์ดํ•ดํ•˜๋Š”๋ฐ ์žˆ์–ด ์ค‘์š”ํ•œ ์ด๋ก ์  ์ ‘๊ทผ๋ฒ•์„ ์ œ์‹œํ•œ๋‹ค. ํŠนํžˆ, ํšŒ์ „ํ•˜๋Š” ์ „๋„ ๊ตฌ๊ฐ€ ์ง„๊ณต์—์„œ ์–ด๋–ป๊ฒŒ ์ž๊ธฐ๊ถŒ์„ ํ˜•์„ฑํ•˜๋Š”์ง€์— ๋Œ€ํ•œ ์ƒˆ๋กœ์šด ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด ๊ธฐ์กด ๋ชจ๋ธ์˜ ํ•œ๊ณ„๋ฅผ ๊ทน๋ณตํ•˜๊ณ ์ž ํ•œ๋‹ค. 1. ์ด๋ก ์  ๋ฐฐ๊ฒฝ Schwinger Field์™€ ์–‘์ž ์ „์ž ์—ญํ•™(QED) ๊ณผ์ • : ์ด ๋…ผ๋ฌธ์€ ํšŒ์ „ํ•˜๋Š” ์ž๊ธฐํ™”๋œ ์ „๋„ ๊ตฌ๊ฐ€ ์ง„๊ณต์—์„œ ์ „ํ•˜๋ฅผ ์ƒ์„ฑํ•˜๋Š” ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ์„ค๋ช…ํ•œ๋‹ค. ์ด๋Š” Schwinger field์— ๋„๋‹ฌํ•˜๊ธฐ ์ „์˜ 1์ฐจ ์ˆ˜์ค€ QED ๊ณผ์ •์ด๋‚˜ ํ‘œ๋ฉด์—์„œ ์ „ํ•˜ ์ž…์ž๋ฅผ ๋Œ์–ด๋‹น๊ธฐ๋Š” ํ˜„์ƒ์œผ๋กœ ์ธํ•ด ๋ฐœ์ƒํ•  ์ˆ˜

Astrophysics
Determination of Different Biological Factors on the Base of Dried Blood   Spot Technology

Determination of Different Biological Factors on the Base of Dried Blood Spot Technology

๋ณธ ๋…ผ๋ฌธ์€ ๊ฑด์กฐํ˜ˆ์•ก๋ฐฉ์šธ(DBS) ๊ธฐ์ˆ ์„ ํ™œ์šฉํ•œ ํ˜ˆ๋Ÿ‰ ๊ณ„์‚ฐ ๋ฐฉ๋ฒ•์— ๋Œ€ํ•œ ์‹ฌ๋„ ์žˆ๋Š” ๋ถ„์„์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. DBS๋Š” ํ™˜์ž๊ฐ€ ์ง์ ‘ ํ˜ˆ์•ก ์ƒ˜ํ”Œ์„ ์ฑ„์ทจํ•˜๊ณ  ์ด๋ฅผ ์—ฌ๊ณผ์ง€๋‚˜ ์„ธํฌ์งˆ ์•„์„ธํ…Œ์ดํŠธ ๋ง‰ ๋“ฑ์— ๋ฐฉ์šธ ํ˜•ํƒœ๋กœ ๊ฑด์กฐํ•˜์—ฌ ์‹คํ—˜์‹ค๋กœ ๋ณด๋‚ด๋Š” ๊ธฐ์ˆ ์ž…๋‹ˆ๋‹ค. ์ด ๋ฐฉ๋ฒ•์€ ๋Œ€์‚ฌ๋ฌผ์งˆ, ํ˜ธ๋ฅด๋ชฌ, ํ˜ˆ๋‹น์ˆ˜์น˜, ๋ฉด์—ญ ์ฒด๊ณ„ ์ง€ํ‘œ ๋“ฑ์˜ ๋‹ค์–‘ํ•œ ์ƒ๋ฌผํ•™์  ํŠน์„ฑ์„ ๋ถ„์„ํ•  ์ˆ˜ ์žˆ๋Š” ๊ธฐํšŒ๋ฅผ ์ œ๊ณตํ•˜๋ฉฐ, ํŠนํžˆ DNA ๋ฐ RNA ๋ถ„์„ ๊ฐ€๋Šฅ์„ฑ์œผ๋กœ ์—์ด์ฆˆ๋‚˜ ๊ฐ„์—ผ๊ณผ ๊ฐ™์€ ๊ฐ์—ผ๋ณ‘์˜ ๋Œ€๋Ÿ‰ ์กฐ์‚ฌ๋ฅผ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•ฉ๋‹ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” DBS ๋ฐฉ์šธ์˜ ์ฒด์ ์„ ๋„์ง• ์žฅ์น˜ ์—†์ด ๊ณ„์‚ฐํ•˜๋Š” ๋ณดํŽธ์ ์ธ ๋ฐฉ๋ฒ•์„ ๊ฐœ๋ฐœํ•˜๊ณ ์ž

Statistics Physics Mathematics
Casting Robotic End-effectors To Reach Faraway Moving Objects

Casting Robotic End-effectors To Reach Faraway Moving Objects

๋ณธ ๋…ผ๋ฌธ์€ ๋กœ๋ด‡ ์—”๋“œ ์ดํŽ™ํ„ฐ๊ฐ€ ๋ฉ€๋ฆฌ ๋–จ์–ด์ง„ ์›€์ง์ด๋Š” ๋ฌผ์ฒด๋ฅผ ์žก๋Š” ๋ฌธ์ œ์— ๋Œ€ํ•œ ํ˜์‹ ์ ์ธ ์ ‘๊ทผ๋ฒ•์„ ์ œ์‹œํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๊ธฐ์กด์˜ ์บ์ŠคํŒ… ์กฐ์ž‘์ด ๊ณ ์ •๋œ ๋ฌผ์ฒด๋ฅผ ๋Œ€์ƒ์œผ๋กœ ํ•œ ๊ฒƒ๊ณผ ๋‹ฌ๋ฆฌ, ๋ณธ ๋…ผ๋ฌธ์€ 3์ฐจ์› ๊ณต๊ฐ„์—์„œ ์›€์ง์ด๋Š” ํƒ€๊ฒŸ์„ ์žก๋Š” ๋ฐ ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. 1. ์บ์ŠคํŒ… ์กฐ์ž‘์˜ ์›๋ฆฌ์™€ ์ ์šฉ ์บ์ŠคํŒ… ์กฐ์ž‘์€ ๊ฐ€๋ฒผ์šด ์ผ€์ด๋ธ”์„ ํ†ตํ•ด ์—ฐ๊ฒฐ๋œ ์—”๋“œ ์ดํŽ™ํ„ฐ๋ฅผ ๋˜์ ธ ๋ฉ€๋ฆฌ ๋–จ์–ด์ง„ ์œ„์น˜์— ๋ฐฐ์น˜ํ•˜๋Š” ๊ธฐ์ˆ ์ž…๋‹ˆ๋‹ค. ์ด๋Š” ๋กœ๋ด‡์ด ์ง์ ‘ ์ ‘๊ทผํ•˜๊ธฐ ์–ด๋ ค์šด ๊ฑฐ๋ฆฌ๋ฅผ ๊ทน๋ณตํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ๋ฒ•์œผ๋กœ, ํŠนํžˆ ์›๊ฒฉ ์ƒ˜ํ”Œ ํš๋“ ๋ฐ ๋ฐ˜ํ™˜, ๊ตฌ์กฐ ๋“ฑ ๋‹ค์–‘ํ•œ ์‘์šฉ ๋ถ„์•ผ์—์„œ ํ™œ์šฉ ๊ฐ€๋Šฅํ•ฉ๋‹ˆ๋‹ค.

Computer Science Robotics
Distributed Collision-free Protocol for AGVs in Industrial Environments

Distributed Collision-free Protocol for AGVs in Industrial Environments

: ๋ณธ ๋…ผ๋ฌธ์€ ์‚ฐ์—… ํ™˜๊ฒฝ์—์„œ ์ž์œจ ์ด๋™ ์ฐจ๋Ÿ‰(AGVs) ๊ทธ๋ฃน์˜ ์•ˆ์ „ํ•˜๊ณ  ํšจ์œจ์ ์ธ ๊ด€๋ฆฌ๋ฅผ ์œ„ํ•œ ๋ถ„์‚ฐ ์ถฉ๋Œ ๋ฐฉ์ง€ ํ”„๋กœํ† ์ฝœ์„ ์ œ์•ˆํ•œ๋‹ค. ์ด๋Š” ๋™์  ํ™˜๊ฒฝ์—์„œ AGVs๊ฐ€ ๋ฏธ๋ฆฌ ์ •์˜๋œ ๊ฒฝ๋กœ๋ฅผ ๋”ฐ๋ผ ์ด๋™ํ•˜๋ฉด์„œ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ๋‹ค์–‘ํ•œ ๋ฌธ์ œ๋“ค์„ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ๊ณ ์•ˆ๋˜์—ˆ๋‹ค. 1. ๋ถ„์‚ฐ ์กฐ์ • ์•Œ๊ณ ๋ฆฌ์ฆ˜ ์ œ์•ˆ๋œ ๋ถ„์‚ฐ ์กฐ์ • ์•Œ๊ณ ๋ฆฌ์ฆ˜์€ ๊ณต์œ  ์ž์› ํ”„๋กœํ† ์ฝœ๊ณผ ์žฌ๊ณ„ํš ์ „๋žต์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ๋‹ค. ์ด๋Š” AGVs๊ฐ€ ๋™์ผํ•œ ๊ฒฝ๋กœ๋ฅผ ๋”ฐ๋ผ ์ด๋™ํ•˜๊ฑฐ๋‚˜ ๊ต์ฐจํ•˜๋Š” ๊ฒฝ์šฐ์— ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ์ถฉ๋Œ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•œ ๊ฒƒ์ด๋‹ค. ๋˜ํ•œ, ๊ต์ฐฉ ์ƒํƒœ(์‹œ์Šคํ…œ์ด ์ •์ง€๋œ ์ƒํƒœ)์™€ ์‚ด๋ก(๋ชฉ์ ์ง€ ๋„๋‹ฌ

Robotics Computer Science
Distributed Consensus on Set-valued Information

Distributed Consensus on Set-valued Information

: ๋ณธ ๋…ผ๋ฌธ์€ ๋ถ„์‚ฐ ์—์ด์ „ํŠธ ์‹œ์Šคํ…œ์—์„œ ์ •๋ณด์˜ ์ˆ˜๋ ด์„ ์—ฐ๊ตฌํ•˜๋Š” ๋ฐ ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ, ์ด ์—ฐ๊ตฌ๋Š” ๊ธฐ์กด์— ์‹ค์ˆ˜๋กœ ํ‘œํ˜„๋˜๋˜ ์ •๋ณด๋ฅผ ์ง‘ํ•ฉ์œผ๋กœ ํ‘œํ˜„ํ•จ์œผ๋กœ์จ ์ƒˆ๋กœ์šด ๊ด€์ ๊ณผ ์ ‘๊ทผ ๋ฐฉ์‹์„ ์ œ์‹œํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์ ‘๊ทผ์€ ๋ถ„์‚ฐ ์‹œ์Šคํ…œ ๋‚ด์—์„œ ์—์ด์ „ํŠธ๋“ค์ด ์–ด๋–ป๊ฒŒ ์ƒํ˜ธ ์ž‘์šฉํ•˜๋ฉฐ ์ •๋ณด๋ฅผ ๊ณต์œ ํ•˜๊ณ  ์ˆ˜๋ ดํ•˜๋Š”์ง€๋ฅผ ๋ณด๋‹ค ์ •๊ตํ•˜๊ฒŒ ์ดํ•ดํ•  ์ˆ˜ ์žˆ๊ฒŒ ํ•ฉ๋‹ˆ๋‹ค. ๋…ผ๋ฌธ์—์„œ๋Š” ์ง‘ํ•ฉ์˜ ๋™์—ญํ•™์„ ๋ถ€์šธ ๋งต ํด๋ž˜์Šค๋กœ ํ‘œํ˜„ํ•ฉ๋‹ˆ๋‹ค. ์ด๋Š” ์—ฐํ•ฉ, ๊ต์ง‘ํ•ฉ, ๊ทธ๋ฆฌ๊ณ  ๋ณด์™„์ด๋ผ๋Š” ์„ธ ๊ฐ€์ง€ ๊ธฐ๋ณธ์ ์ธ ์ง‘ํ•ฉ ์—ฐ์‚ฐ๋งŒ์œผ๋กœ ๊ตฌ์„ฑ๋ฉ๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์ œํ•œ๋œ ์ง‘ํ•ฉ ์—ฐ์‚ฐ์€ ๋ณต์žก์„ฑ์„ ์ค„์ด๋ฉด์„œ๋„ ํ•ต์‹ฌ

Robotics Computer Science
Distributed Intrusion Detection for the Security of Societies of Robots

Distributed Intrusion Detection for the Security of Societies of Robots

๋ณธ ๋…ผ๋ฌธ์€ ์ž์œจ ๋กœ๋ด‡ ์ง‘๋‹จ ๋‚ด์—์„œ ์ž ์žฌ์  ์นจ์ž…์ž๋ฅผ ๊ฐ์ง€ํ•˜๋Š” ๋ฌธ์ œ๋ฅผ ๋‹ค๋ฃจ๋ฉฐ, ์ด๋Š” ๋ถ„์‚ฐ ํ™˜๊ฒฝ์—์„œ์˜ ๋ณด์•ˆ ๋ฌธ์ œ ํ•ด๊ฒฐ์„ ์œ„ํ•œ ์ค‘์š”ํ•œ ์—ฐ๊ตฌ์ž…๋‹ˆ๋‹ค. ์ฃผ์š” ๋‚ด์šฉ๊ณผ ๊ทธ ์ค‘์š”์„ฑ์„ ๋‹ค์Œ๊ณผ ๊ฐ™์ด ๋ถ„์„ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. 1. ์นจ์ž…์ž ์ •์˜์™€ ๊ฐ์ง€ ๋ฐฉ๋ฒ• ๋…ผ๋ฌธ์€ ์นจ์ž…์ž๋ฅผ ์ž์œจ์ ์œผ๋กœ ํ–‰๋™ํ•˜์ง€ ์•Š๋Š” ๋กœ๋ด‡์œผ๋กœ ์ •์˜ํ•˜๋ฉฐ, ์ด๋Š” ๊ณ ์žฅ์ด๋‚˜ ์•…์˜์ ์ธ ์žฌํ”„๋กœ๊ทธ๋ž˜๋ฐ ๋“ฑ ๋‹ค์–‘ํ•œ ์›์ธ์— ์˜ํ•ด ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ๊ฐœ๋ณ„ ๋กœ๋ด‡์ด ์ž์‹ ์˜ ์ƒํƒœ์™€ ์ธ์ ‘ํ•œ ์ด์›ƒ๊ณผ์˜ ํ†ต์‹ ์„ ํ†ตํ•ด ์ •๋ณด๋ฅผ ์ˆ˜์ง‘ํ•˜๊ณ  ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์นจ์ž…์ž๋ฅผ ๊ฐ์ง€ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์•ˆํ•ฉ๋‹ˆ๋‹ค. 2. ๋ถ„์‚ฐ ํ™˜๊ฒฝ

Detection Robotics Computer Science
Logical Consensus for Distributed and Robust Intrusion Detection

Logical Consensus for Distributed and Robust Intrusion Detection

๋ณธ ๋…ผ๋ฌธ์€ ๋„คํŠธ์›Œํฌ ๋‚ด์—์„œ ์—์ด์ „ํŠธ๋“ค์ด ์ง€์—ญ์ ์œผ๋กœ ์ˆ˜์ง‘ํ•œ ์ •๋ณด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ „๋ฐ˜์ ์ธ ์œ„ํ˜‘์— ๋Œ€ํ•œ ํ•ฉ์˜๋ฅผ ๋„์ถœํ•˜๋Š” ์ƒˆ๋กœ์šด ๋ฐฉ๋ฒ•์„ ์ œ์•ˆํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ํŠนํžˆ ๋ถ„์‚ฐ ํ™˜๊ฒฝ์—์„œ ๊ฐ ๋…ธ๋“œ๊ฐ€ ๋…๋ฆฝ์ ์œผ๋กœ ํŒ๋‹จํ•  ์ˆ˜ ์žˆ๋Š” ๋Šฅ๋ ฅ์„ ๊ฐ•ํ™”ํ•จ์œผ๋กœ์จ, ๋„คํŠธ์›Œํฌ ์ „์ฒด์˜ ์•ˆ์ •์„ฑ๊ณผ ๋ณด์•ˆ์„ฑ์„ ํ–ฅ์ƒ์‹œํ‚ค๋Š”๋ฐ ์ค‘์ ์„ ๋‘๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๋…ผ๋ฌธ์€ ๋…ผ๋ฆฌ์  ํ•ฉ์˜ ๋ฌธ์ œ๋ฅผ ์ •์˜ํ•˜๊ณ , ์ด๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•œ ๊ธฐ์กด ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋“ค์„ ๊ฒ€ํ† ํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ ์„ธํฌ ์ž๋™์ฒด์™€ ์œ ํ•œ ์ƒํƒœ ์ดํ„ฐ๋ ˆ์ด์…˜ ๋งต์˜ ์ˆ˜๋ ด์„ฑ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ์—์ด์ „ํŠธ๋“ค์ด ์ง€์—ญ์ ์œผ๋กœ ์ˆ˜์ง‘ํ•œ ์ •๋ณด๋ฅผ ์ „๋ฐ˜์ ์ธ ํ•ฉ์˜๋กœ ์—ฐ๊ฒฐํ•˜๋Š” ๋ฐ ์ค‘์š”ํ•œ ์—ญํ• ์„

Detection Robotics Computer Science
Massive particle production from accelerated sources in high magnetic   fields

Massive particle production from accelerated sources in high magnetic fields

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  ๋ณธ ๋…ผ๋ฌธ์€ ๊ณ ๊ฐ•๋„ ์ž๊ธฐ์žฅ ๋‚ด์—์„œ ๊ฐ€์†๋œ ์–‘์„ฑ์ž๊ฐ€ ์ค‘์„ฑ ํ”ผ์˜จ์„ ๋ฐฉ์ถœํ•˜๋Š” ๊ณผ์ •์— ๋Œ€ํ•œ ๋ฐ˜๊ณ ์ „์  ๊ทผ์‚ฌ ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ•œ ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•œ๋‹ค. ์ด๋Š” ์ž…์ž ๋ฌผ๋ฆฌํ•™์˜ ์ค‘์š”ํ•œ ๋ถ€๋ถ„์œผ๋กœ, ํŠนํžˆ ๊ฐ•๋ ฅํ•œ ์ž๊ธฐ์žฅ์ด ์กด์žฌํ•˜๋Š” ์ฒœ์ฒด๋ฌผ๋ฆฌํ•™์  ํ™˜๊ฒฝ์—์„œ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ํ˜„์ƒ์„ ์ดํ•ดํ•˜๋Š”๋ฐ ์ค‘์š”ํ•˜๋‹ค. 2. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• ๋ฐ˜๊ณ ์ „์  ๊ทผ์‚ฌ : ์›๋ณธ ์ž…์ž๋Š” ๊ณ ์ „ ์ „๋ฅ˜์™€ ์ง€์ •๋œ ๊ถค์ ์„ ๊ฐ€์ง„ ์ž…์ž๋กœ ๋ฌ˜์‚ฌ๋˜๋ฉฐ, ๋ฐฉ์ถœ๋˜๋Š” ์ž…์ž๋“ค์€ ์™„์ „ํžˆ ์–‘์žํ™”๋œ ํ•„๋“œ๋กœ ๊ฐ„์ฃผ๋œ๋‹ค. ์ž…์ž ์ƒ์„ฑ ์กฐ๊ฑด : ์ž๊ธฐ์žฅ ๋‚ด์—์„œ ์›€์ง์ด๋Š” ๊ฒฝ์šฐ, ๋ฐ˜๊ณ ์ „์  ๊ทผ์‚ฌ์˜ ์œ ํšจ์„ฑ์€ ํŠน์ • ์กฐ๊ฑด์ด ์ถฉ์กฑ๋  ๋•Œ ๋ณด

Astrophysics
Two Applications of Desargues Theorem

Two Applications of Desargues Theorem

1. ๋ฐ์‚ฌ๋ฅด๊ทธ์˜ ์ •๋ฆฌ์™€ ๊ทธ ์ฆ๋ช… ๋ฐ์‚ฌ๋ฅด๊ทธ์˜ ์ •๋ฆฌ๋Š” ๋‘ ์‚ผ๊ฐํ˜•์ด ์›์ ์— ๋Œ€ํ•ด ์œ„์น˜ํ•  ๋•Œ, ๋Œ€์‘ํ•˜๋Š” ๋ณ€์˜ ๊ต์ฐจ์ ์ด ์ผ์ง์„  ์œ„์— ๋†“์ธ๋‹ค๋Š” ๊ฒƒ์„ ๋งํ•œ๋‹ค. ์ด ๋…ผ๋ฌธ์—์„œ๋Š” ์ด๋Ÿฌํ•œ ์ •๋ฆฌ๋ฅผ ์ฆ๋ช…ํ•˜๊ธฐ ์œ„ํ•ด ๋ฉ”๋„ค๋ผ์šฐ์Šค ์ •๋ฆฌ์™€ ํ•จ๊ป˜ ์‚ฌ์šฉํ•œ๋‹ค. ์ฆ๋ช… ๊ณผ์ •์—์„œ ์ฃผ์–ด์ง„ ๋‘ ์‚ผ๊ฐํ˜• ABC์™€ A1B1C1์˜ ๋ณ€๋“ค์ด ๊ต์ฐจํ•˜๋Š” ์  N, M, P๊ฐ€ ์ผ์ง์„  ์œ„์— ๋†“์ด๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ค€๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ๋ฐ์‚ฌ๋ฅด๊ทธ์˜ ์ •๋ฆฌ๊ฐ€ ์„ฑ๋ฆฝํ•จ์„ ์ฆ๋ช…ํ•œ๋‹ค. 2. ํ˜ธํ•™์  ์‚ผ๊ฐํ˜•๊ณผ ๊ทธ ์‘์šฉ ํ˜ธํ•™์ ์ธ ์‚ผ๊ฐํ˜•์€ ์„œ๋กœ ๋Œ€์‘ํ•˜๋Š” ๋ณ€๋“ค์ด ์ผ์ง์„  ์œ„์— ๊ต์ฐจ์ ์ด ์žˆ๋Š” ์‚ผ๊ฐํ˜•๋“ค์„ ๋งํ•œ๋‹ค. ๋…ผ๋ฌธ์—์„œ๋Š” ์™„์ „ํ•œ ์‚ฌ๊ฐ

Mathematics
Reply to Comment on `Formation of bound states of electrons in   spherically symmetric oscillations of plasma

Reply to Comment on `Formation of bound states of electrons in spherically symmetric oscillations of plasma

: ์ด ๋…ผ๋ฌธ์€ ํ”Œ๋ผ์ฆˆ๋งˆ ๋ฌผ๋ฆฌํ•™์—์„œ ์ค‘์š”ํ•œ ๋ฌธ์ œ์ธ ์•ˆ์ •์ ์ธ ์ž์—ฐ ํ”Œ๋ผ์ฆˆ๋งˆ ๊ตฌ์กฐ์˜ ์ด๋ก ์  ๋ชจ๋ธ ๋ถ€์กฑ์„ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•œ ์ƒˆ๋กœ์šด ์ ‘๊ทผ ๋ฐฉ์‹์„ ์ œ์‹œํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ, ํ”Œ๋ผ์ฆˆ๋ชจ์ด๋“œ๋ผ๋Š” ๊ตฌ์กฐ์—์„œ ์ „์ž ๊ธฐ์ฒด์˜ ๋ฐฉ์‚ฌํ˜• ์ง„๋™์— ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ์œผ๋ฉฐ, ์ด๋Ÿฌํ•œ ํ˜„์ƒ์€ ์–‘์ž ๋ฐ ๊ณ ์ „ ํ”„๋ ˆ์ž„์›Œํฌ ๋ชจ๋‘์—์„œ ๋‹ค๋ฃจ์–ด์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๋…ผ๋ฌธ์˜ ํ•ต์‹ฌ ๋‚ด์šฉ ์ค‘ ํ•˜๋‚˜๋Š” ์ด์˜จ ์ŒํŒŒ ๊ตํ™˜์„ ํ†ตํ•ด ์ „์ž์˜ ๊ฒฐํ•ฉ ์ƒํƒœ ํ˜•์„ฑ ๊ฐ€๋Šฅ์„ฑ์„ ๋ถ„์„ํ•œ ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ €์ž๋Š” ์ด๋ฅผ ๊ณ ์ „ ์ „์ž๊ธฐํ•™์˜ ํ”„๋ ˆ์ž„์›Œํฌ์—์„œ ๋‹ค๋ฃจ์—ˆ์œผ๋ฉฐ, ์ด๋Ÿฌํ•œ ์ ‘๊ทผ ๋ฐฉ์‹์€ ํ”Œ๋ผ์ฆˆ๋งˆ ๋ฌผ๋ฆฌํ•™์—์„œ ์ค‘์š”ํ•œ ํ˜„์ƒ์„ ์ดํ•ดํ•˜๋Š” ๋ฐ ๋„์›€์ด ๋ 

Physics
Bandwidth and pathwidth of three-dimensional grids

Bandwidth and pathwidth of three-dimensional grids

๋ณธ ๋…ผ๋ฌธ์€ ๊ทธ๋ž˜ํ”„ ์ด๋ก ์—์„œ ์ค‘์š”ํ•œ ๋‘ ๊ฐ€์ง€ ํŒŒ๋ผ๋ฏธํ„ฐ์ธ ๋ฐด๋“œ ๋„ˆ๋น„์™€ ๊ฒฝ๋กœ ๋„ˆ๋น„์— ๋Œ€ํ•œ ์‹ฌ๋„ ์žˆ๋Š” ์—ฐ๊ตฌ๋ฅผ ์ œ๊ณตํ•˜๋ฉฐ, ํŠนํžˆ 3์ฐจ์› ๊ทธ๋ฆฌ๋“œ์˜ ๊ฒฝ์šฐ์— ๋Œ€ํ•ด ์ง‘์ค‘์ ์œผ๋กœ ๋‹ค๋ฃฌ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ์ปดํ“จํ„ฐ ๊ณผํ•™ ๋ถ„์•ผ์—์„œ ๋„๋ฆฌ ํ™œ์šฉ๋˜๋Š” ๊ทธ๋ž˜ํ”„ ์ด๋ก ์˜ ์ค‘์š”ํ•œ ์ธก๋ฉด์„ ํƒ๊ตฌํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ๊ทธ ๊ฒฐ๊ณผ๋Š” VLSI ๋ ˆ์ด์•„์›ƒ๊ณผ ๋ณ‘๋ ฌ ์ปดํ“จํŒ… ๋“ฑ ๋‹ค์–‘ํ•œ ์‘์šฉ ๋ถ„์•ผ์— ์ ์šฉ๋  ์ˆ˜ ์žˆ๋‹ค. ๋ฐด๋“œ ๋„ˆ๋น„์™€ ๊ฒฝ๋กœ ๋„ˆ๋น„์˜ ์ •์˜ ๋ฐ ๊ด€๋ จ์„ฑ ๋ฐด๋“œ ๋„ˆ๋น„์™€ ๊ฒฝ๋กœ ๋„ˆ๋น„๋Š” ๊ทธ๋ž˜ํ”„ ์ด๋ก ์—์„œ ์ค‘์š”ํ•œ ๊ฐœ๋…์œผ๋กœ, ๊ฐ๊ฐ ๊ทธ๋ž˜ํ”„์˜ ๊ตฌ์กฐ๋ฅผ ์ธก์ •ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋œ๋‹ค. ๋ฐด๋“œ ๋„ˆ๋น„๋Š” ๊ทธ๋ž˜ํ”„์˜ ์ •์  ์ง‘ํ•ฉ์„ ์ผ๋ ฌ๋กœ ๋ฐฐ์—ดํ–ˆ์„

Computer Science Discrete Mathematics
Convex Polyhedra Realizing Given Face Areas

Convex Polyhedra Realizing Given Face Areas

: ์ด ๋…ผ๋ฌธ์€ 3์ฐจ์› ๊ณต๊ฐ„์—์„œ ํŠน์ • ๋ฉด์ ์ด ์ฃผ์–ด์กŒ์„ ๋•Œ, ์ด ๋ฉด์ ์ด ๋‹ค๊ฐํ˜•์˜ ๊ฐ ๋ฉด์˜ ๋ฉด์ ์„ ๋‚˜ํƒ€๋‚ด๋Š” ์กฐ๊ฑด์— ๋Œ€ํ•ด ๊นŠ๊ฒŒ ํƒ๊ตฌํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ, Aโ‚ โ‰ค i > 1 Aแตข์ธ ๊ฒฝ์šฐ, ์ด ๋ฒกํ„ฐ๋กœ ๊ตฌ์„ฑ๋œ ๋‹ค๊ฐํ˜•์ด ์กด์žฌํ•œ๋‹ค๋Š” ๊ฒƒ์„ ์ฆ๋ช…ํ•ฉ๋‹ˆ๋‹ค. ์ฃผ์š” ๊ฐœ๋…๊ณผ ์ •๋ฆฌ Minkowski์˜ ์ •๋ฆฌ : Minkowski์˜ ์ •๋ฆฌ๋Š” ์ฃผ์–ด์ง„ ๋ฉด์ ๊ณผ ๋‹จ์œ„ ๋ฒ•์„  ๋ฒกํ„ฐ๋ฅผ ํ†ตํ•ด ๊ณ ์œ ํ•œ ๋‹ซํžŒ ๋‹ค๊ฐํ˜•์„ ํ˜•์„ฑํ•  ์ˆ˜ ์žˆ๋Š” ์กฐ๊ฑด์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ์ด ๋…ผ๋ฌธ์—์„œ๋Š” ์ด๋ฅผ '์™„์ „ํžˆ ๊ท ํ˜• ์žกํžŒ' ๋ฒกํ„ฐ๋กœ ์žฌํ•ด์„ํ•˜์—ฌ, ๊ฐ ๋ฉด์˜ ๋ฉด์ ์ด ์ฃผ์–ด์กŒ์„ ๋•Œ, ๊ทธ ๋ฉด์ ์„ ๊ฐ€์ง„ ๋‹ค๊ฐํ˜•์ด ์กด์žฌํ•˜๋Š”์ง€ ํŒ๋‹จํ• 

Computer Science Discrete Mathematics
O Algoritmo usado no programa de criptografia PASME

O Algoritmo usado no programa de criptografia PASME

์ด ๋…ผ๋ฌธ์€ PASME ๋„๊ตฌ์˜ ํ•ต์‹ฌ ์•”ํ˜ธํ™” ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ƒ์„ธํžˆ ์„ค๋ช…ํ•˜๊ณ  ์žˆ๋‹ค. ์ด ์•Œ๊ณ ๋ฆฌ์ฆ˜์€ ํฐ ์ˆ˜์˜ ์†Œ์ธ์ˆ˜ ๋ถ„ํ•ด๋ผ๋Š” ๊ณ„์‚ฐ์ ์œผ๋กœ ์–ด๋ ค์šด ๋ฌธ์ œ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋ฐ์ดํ„ฐ๋ฅผ ์•ˆ์ „ํ•˜๊ฒŒ ์•”ํ˜ธํ™”ํ•œ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ๊ธฐ์กด ์•”ํ˜ธํ™” ๋ฐฉ๋ฒ•๋“ค์˜ ํ•œ๊ณ„๋ฅผ ๊ทน๋ณตํ•˜๋ ค๋Š” ์‹œ๋„๊ฐ€ ์ด๋ฃจ์–ด์ง€๊ณ  ์žˆ์œผ๋ฉฐ, ํŠนํžˆ ๋นˆ๋„ ๋ถ„์„๊ณผ ๊ฐ™์€ ๊ณต๊ฒฉ์— ์ทจ์•ฝํ•œ ๊ณ ์ „์ ์ธ ์•”ํ˜ธํ™” ๋ฐฉ๋ฒ•๋“ค๋ณด๋‹ค ๋ณด์•ˆ์„ฑ์ด ํ–ฅ์ƒ๋˜์—ˆ๋‹ค. I. ์„œ๋ก  ์„œ๋ก ์—์„œ๋Š” ์•”ํ˜ธํ™” ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ํ•„์š”์„ฑ๊ณผ ๋‹ค์–‘ํ•œ ์•”ํ˜ธํ™” ๊ธฐ๋ฒ•๋“ค์˜ ํ•œ๊ณ„๋ฅผ ์„ค๋ช…ํ•œ๋‹ค. ํŠนํžˆ, ๋ฌธ์ž ์ง‘ํ•ฉ ์ˆœ์„œ ๋ณ€๊ฒฝ์ด๋‚˜ ์ด์ง„ ๋ฉ”์‹œ์ง€์—์„œ ๋น„ํŠธ ์—ญ์ „ ๋“ฑ์˜ ๋ฐฉ๋ฒ•๋“ค์€ ๋นˆ๋„ ๋ถ„์„ ๊ณต๊ฒฉ์— ์ทจ์•ฝํ•˜๋‹ค๋Š” ์ ์„

Mathematics Computer Science Cryptography and Security
The impact of a carbon nanotube on the cholesterol domain localized on a   protein surface

The impact of a carbon nanotube on the cholesterol domain localized on a protein surface

๋งค๋ ฅ์ ์ธ ํ•œ๊ธ€ ์ œ๋ชฉ: ํƒ„์†Œ ๋‚˜๋…ธํŠœ๋ธŒ์˜ ์กด์žฌ๊ฐ€ ์ฝœ๋ ˆ์Šคํ…Œ๋กค ๋„๋ฉ”์ธ ๋ถ„ํฌ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ ์ดˆ๋ก ์ „์ฒด ๋ฒˆ์—ญ ๋ฐ ์ •๋ฆฌ: ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ํƒ„์†Œ ๋‚˜๋…ธํŠœ๋ธŒ(CNT)๊ฐ€ ๋‹จ๋ฐฑ์งˆ ํ‘œ๋ฉด์—์„œ ํ˜•์„ฑ๋œ ์ฝœ๋ ˆ์Šคํ…Œ๋กค ๋„๋ฉ”์ธ์˜ ๋ถ„ํฌ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋ถ„์ž ๋™์—ญํ•™(MD) ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ์กฐ์‚ฌํ–ˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ, ํ˜ˆ๊ด€ ๋‚ดํ”ผ ์„ธํฌ์˜ ์–‡์€ ์ธต์„ ํ˜•์„ฑํ•˜๋Š” ๋‹จ๋ฐฑ์งˆ 1LQV๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ, ํƒ„์†Œ ๋‚˜๋…ธํŠœ๋ธŒ๊ฐ€ ์ฝœ๋ ˆ์Šคํ…Œ๋กค ๋ถ„์ž์˜ ๋ถ„ํฌ์™€ ์—ญํ•™์— ์–ด๋–ค ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”์ง€ ํ™•์ธํ–ˆ์Šต๋‹ˆ๋‹ค. ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ, ํƒ„์†Œ ๋‚˜๋…ธํŠœ๋ธŒ์˜ ์กด์žฌ๋กœ ์ธํ•ด ๋งŽ์€ ์ฝœ๋ ˆ์Šคํ…Œ๋กค์ด ๋‹จ๋ฐฑ์งˆ ํ‘œ๋ฉด์—์„œ ์ด๋™ํ•˜์—ฌ ๋‚˜๋…ธํŠœ๋ธŒ ์ฃผ๋ณ€์œผ๋กœ ์นจ์ฐฉ๋˜๋Š”

Condensed Matter Physics
A Thomason-like Quillen equivalence between quasi-categories and   relative categories

A Thomason-like Quillen equivalence between quasi-categories and relative categories

: ๋ณธ ๋…ผ๋ฌธ์€ ๊ณ ๊ธ‰ ์ˆ˜ํ•™์  ๊ฐœ๋…์„ ๋ฐ”ํƒ•์œผ๋กœ ์‹œํ”Œ๋ฆฌ์–ผ ์ง‘ํ•ฉ(quasi categories)๊ณผ ์ƒ๋Œ€ ๋ฒ”์ฃผ(relative categories) ๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ํƒ๊ตฌํ•˜๊ณ  ์žˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ํŠนํžˆ ์กฐ์•Œ ๋™ํ˜•์„ฑ(Quillen equivalence)์ด๋ผ๋Š” ์ค‘์š”ํ•œ ๋„๊ตฌ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋‘ ๋ฒ”์ฃผ์˜ ๊ตฌ์กฐ์™€ ๊ทธ ์‚ฌ์ด์˜ ๊ด€๊ณ„๋ฅผ ๋ถ„์„ํ•œ๋‹ค. 1. ์กฐ์•Œ ๋™ํ˜•์„ฑ๊ณผ ํ†ฐ์Šจ ๋™ํ˜•์„ฑ ์กฐ์•Œ ๋™ํ˜•์„ฑ์€ ๋‘ ๋ชจ๋ธ ๋ฒ”์ฃผ(model categories) ๊ฐ„์— ์กด์žฌํ•˜๋Š” ํŠน์ • ์ข…๋ฅ˜์˜ ๋™์น˜๊ด€๊ณ„์ด๋‹ค. ์ด๋Š” ๋‘ ๋ฒ”์ฃผ์˜ ๊ตฌ์กฐ์™€ ๊ทธ ์‚ฌ์ด์˜ ๊ด€๊ณ„๋ฅผ ์ดํ•ดํ•˜๋Š”๋ฐ ์ค‘์š”ํ•œ ๋„๊ตฌ๋กœ ์‚ฌ์šฉ๋œ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์กฐ

Mathematics
Information Retrieval of Jumbled Words

Information Retrieval of Jumbled Words

์ด ๋…ผ๋ฌธ์€ ํ˜ผ๋ˆ๋œ ๋‹จ์–ด์˜ ๋…ํ•ด์— ๋Œ€ํ•œ ์‹ฌ๋„ ์žˆ๋Š” ๋ถ„์„์„ ์ œ๊ณตํ•˜๋ฉฐ, ํŠนํžˆ ์ธ๊ฐ„ ๋‡Œ๊ฐ€ ์–ด๋–ป๊ฒŒ ์ด๋Ÿฌํ•œ ํ˜ผ๋ž€์Šค๋Ÿฌ์šด ํ…์ŠคํŠธ๋ฅผ ์ฒ˜๋ฆฌํ•˜๋Š”์ง€์— ๋Œ€ํ•ด ์ƒ์„ธํžˆ ์„ค๋ช…ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์—ฐ๊ตฌ๋Š” ์บ ๋ธŒ๋ฆฌ์ง€ ๋Œ€ํ•™๊ต์˜ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ, ๋‹จ์–ด ๋‚ด ๊ธ€์ž์˜ ์ˆœ์„œ๊ฐ€ ๋ฐ”๋€Œ์–ด๋„ ์ฒซ ๋ฒˆ์งธ์™€ ๋งˆ์ง€๋ง‰ ๊ธ€์ž๊ฐ€ ์˜ฌ๋ฐ”๋ฅธ ์œ„์น˜์— ์žˆ์œผ๋ฉด ๋…ํ•ด์— ํฐ ์˜ํ–ฅ์„ ๋ฏธ์น˜์ง€ ์•Š๋Š”๋‹ค๋Š” ์‚ฌ์‹ค์„ ๋ฐํ˜€๋ƒ…๋‹ˆ๋‹ค. ์ด๋Š” ์ธ๊ฐ„ ๋‡Œ๊ฐ€ ์ „์ฒด ๋‹จ์–ด๋กœ ์ธ์‹ํ•˜๋Š” ๋Šฅ๋ ฅ ๋•๋ถ„์ด๋ฉฐ, ์ด๋Ÿฌํ•œ ํ˜„์ƒ์€ ์—ฌ๋Ÿฌ ์š”์ธ๋“ค์— ์˜ํ•ด ์„ค๋ช…๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. 1. ๋ฌธ๋ฒ• ๊ตฌ์กฐ ๋ณด์กด ํ˜ผ๋ˆ๋œ ํ…์ŠคํŠธ์—์„œ๋„ ๋ฌธ์žฅ์˜ ๋ฌธ๋ฒ•์  ๊ตฌ์กฐ๊ฐ€ ์œ ์ง€๋˜๋ฉด ๋…์ž๋Š” ๋‹ค์Œ ๋‹จ์–ด๋ฅผ

Computer Science Information Retrieval
Personalized Event-Based Surveillance and Alerting Support for the   Assessment of Risk

Personalized Event-Based Surveillance and Alerting Support for the Assessment of Risk

์ด ๋…ผ๋ฌธ์€ ๊ณต๊ณต ๋ณด๊ฑด ๋ถ„์•ผ์—์„œ ์ค‘์š”ํ•œ ๋ฌธ์ œ์ธ ๊ณผ๋ถ€ํ•˜๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•œ ์ด๋ฒคํŠธ ๊ธฐ๋ฐ˜ ๊ฐ์‹œ ์‹œ์Šคํ…œ์˜ ๊ฐœ์„  ๋ฐฉ์•ˆ์„ ์ œ์‹œํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ, ์ „์—ผ๋ณ‘ ๋ชจ๋‹ˆํ„ฐ๋ง๊ณผ ๊ด€๋ จ๋œ ์ •๋ณด๊ฐ€ ๊ธ‰์ฆํ•จ์— ๋”ฐ๋ผ ์ด๋ฅผ ํšจ๊ณผ์ ์œผ๋กœ ๊ด€๋ฆฌํ•˜๋Š” ๊ฒƒ์ด ์ ์  ๋” ์ค‘์š”ํ•ด์ง€๊ณ  ์žˆ๋Š” ์ƒํ™ฉ์—์„œ, ๊ณต๋ฌด์›๋“ค์ด ํ•„์š”ํ•œ ์ •๋ณด๋ฅผ ๋น ๋ฅด๊ณ  ์ •ํ™•ํ•˜๊ฒŒ ํŒŒ์•…ํ•  ์ˆ˜ ์žˆ๋„๋ก ๋•๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์•ˆํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๋…ผ๋ฌธ์€ ๋‘ ๊ฐ€์ง€ ์ฃผ์š” ๊ธฐ๋ฒ•์„ ์†Œ๊ฐœํ•ฉ๋‹ˆ๋‹ค. ์ฒซ ๋ฒˆ์งธ๋กœ, ์‚ฌ์šฉ์ž์˜ ์„ ํ˜ธ๋„์— ๋”ฐ๋ผ ์‹ ํ˜ธ๋ฅผ ํ•„ํ„ฐ๋งํ•˜๋Š” ๋ฐฉ๋ฒ•์ž…๋‹ˆ๋‹ค. ์ด๋Š” ๊ณต๋ฌด์›๋“ค์ด ํ•„์š”ํ•˜์ง€ ์•Š์€ ์ •๋ณด๋‚˜ ๋…ธ์ด์ฆˆ๋กœ๋ถ€ํ„ฐ ํ•ด๋ฐฉ๋˜์–ด ์ค‘์š”ํ•œ ๊ฒฝ๋ณด์™€ ๋ณด๊ณ ์„œ์— ์ง‘์ค‘ํ•  ์ˆ˜

Computers and Society Computer Science
Status of GDL - GNU Data Language

Status of GDL - GNU Data Language

: GDL์€ ์ฒœ๋ฌธํ•™ ๋ถ„์•ผ์—์„œ IDL์˜ ๋ฌด๋ฃŒ ๋Œ€์ฒด ์†Œํ”„ํŠธ์›จ์–ด๋กœ ๋„๋ฆฌ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ์œผ๋ฉฐ, ๋‹ค์–‘ํ•œ ๋ฐ์ดํ„ฐ ๋ถ„์„๊ณผ ์‹œ๊ฐํ™” ์ž‘์—…์— ํ™œ์šฉ๋ฉ๋‹ˆ๋‹ค. GDL์˜ ์ฃผ์š” ํŠน์ง• ์ค‘ ํ•˜๋‚˜๋Š” IDL๊ณผ์˜ ์™„๋ฒฝํ•œ ๋ฌธ๋ฒ• ํ˜ธํ™˜์„ฑ์œผ๋กœ, ๊ธฐ์กด IDL ์ฝ”๋“œ๋ฅผ ์‰ฝ๊ฒŒ GDL์—์„œ ์‹คํ–‰ํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ์ ์ž…๋‹ˆ๋‹ค. ์ด๋กœ ์ธํ•ด ์ฒœ๋ฌธํ•™์ž๋“ค์€ ๋น„์šฉ ๋ถ€๋‹ด ์—†์ด ๊ณ ๊ธ‰ ๋ฐ์ดํ„ฐ ๋ถ„์„ ๋ฐ ์‹œ๊ฐํ™” ์ž‘์—…์„ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. GDL์€ ๋‹ค์–‘ํ•œ ํ”Œ๋žซํผ์—์„œ ์‹คํ–‰ ๊ฐ€๋Šฅํ•˜๋ฉฐ, Linux, BSD, Mac OSX, OpenSolaris ๋“ฑ ์ฃผ์š” ์šด์˜ ์ฒด์ œ๋ฅผ ์ง€์›ํ•ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ, ์—ฌ๋Ÿฌ ์šด์˜ ์ฒด์ œ์— ๋Œ€ํ•œ ์‚ฌ์ „ ์ปดํŒŒ์ผ

Computer Science Data Computational Engineering Astrophysics

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General
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