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Analytical Representation for Equations of State of Dense Matter

Analytical Representation for Equations of State of Dense Matter

๋ณธ ๋…ผ๋ฌธ์˜ ์ฃผ์š” ๋ชฉํ‘œ๋Š” ์ค‘์„ฑ์ž ๋ณ„ ๋‚ด๋ถ€์˜ ๋ฐ€๋„ ๋ฌผ์งˆ์— ๋Œ€ํ•œ ์ƒํƒœ ๋ฐฉ์ •์‹(EoS)์„ ๋ถ„์„์ ์œผ๋กœ ํ‘œํ˜„ํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๊ธฐ์กด์˜ ๋ณด๊ฐ„ ๊ธฐ๋ฒ•์ด ์ˆ˜์ •๋œ ์ค‘๋ ฅ ์ด๋ก ์—์„œ ์ œํ•œ์ ์ด๋ผ๋Š” ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด, 22๊ฐœ์˜ ๋‹ค์–‘ํ•œ EoS์— ๋Œ€ํ•ด ์ •ํ™•ํ•˜๊ณ  ํ†ตํ•ฉ์ ์ธ ๋ถ„์„์  ํ‘œํ˜„์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ์ค‘์„ฑ์ž ๋ณ„์€ ๋งค์šฐ ๋†’์€ ๋ฐ€๋„์™€ ์••๋ ฅ์„ ๊ฐ€์ง„ ์ฒœ์ฒด๋กœ, ๊ทธ ๋‚ด๋ถ€ ์ƒํƒœ๋Š” ์ผ๋ฐ˜ ์ƒ๋Œ€์„ฑ ์ด๋ก (GR)์—์„œ ์ˆ˜์•• ํ‰ํ˜• ๋ฐฉ์ •์‹(TOV ๋ฐฉ์ •์‹)์„ ํ†ตํ•ด ์„ค๋ช…๋ฉ๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ˆ˜์ •๋œ ์ค‘๋ ฅ ์ด๋ก ์—์„œ๋Š” TOV ๋ฐฉ์ •์‹์ด ๋‘ ๋ฒˆ์งธ ๋„ํ•จ์ˆ˜๋ฅผ ํฌํ•จํ•˜๋Š” ํ˜•ํƒœ๋กœ ํ‘œํ˜„๋˜๋ฉฐ, ์ด๋Š” ๊ณ ์ฐจ ๋„ํ•จ์ˆ˜๊ฐ€

Astrophysics
Brouwers fixed point theorem with sequentially at most one fixed point

Brouwers fixed point theorem with sequentially at most one fixed point

์ด ๋…ผ๋ฌธ์€ ๋ธŒ๋ฃจ์–ด ๊ณ ์ •์  ์ •๋ฆฌ์™€ ๊ด€๋ จ๋œ ์ƒˆ๋กœ์šด ์ ‘๊ทผ๋ฒ•์„ ์†Œ๊ฐœํ•˜๋ฉฐ, ํŠนํžˆ ๊ทผ์‚ฌ ๊ณ ์ •์ ๊ณผ ์ˆœ์ฐจ์ ์œผ๋กœ ๊ฐ€์žฅ ํฐ ๊ฐ’์ด ํ•˜๋‚˜์ธ ์กฐ๊ฑด์— ์ดˆ์ ์„ ๋งž์ถ˜๋‹ค. ์ด๋Ÿฌํ•œ ์ ‘๊ทผ๋ฒ•์€ ๊ธฐ์กด์˜ ๋ธŒ๋ฃจ์–ด ํŒฌ ์ •๋ฆฌ๋ฅผ ํ™•์žฅํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ์ œ๋กœ์„ฌ ๊ฒŒ์ž„์—์„œ ์ตœ์  ์ „๋žต์„ ์ฐพ๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•œ๋‹ค. 1. ๋ธŒ๋ฃจ์–ด ๊ณ ์ •์  ์ •๋ฆฌ์™€ ๊ทผ์‚ฌ ๋ฒ„์ „ ๋ธŒ๋ฃจ์–ด ๊ณ ์ •์  ์ •๋ฆฌ๋Š” ๋น„์Šˆํ”ผ์ฒ˜ ์ˆ˜ํ•™์—์„œ ๊ฑด์„ค์ ์œผ๋กœ ์ฆ๋ช…๋  ์ˆ˜ ์—†๋‹ค๋Š” ๊ฒƒ์ด ์ž˜ ์•Œ๋ ค์ ธ ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์Šคํผ๋„ˆ์˜ ํ•จ์ˆ˜๋ฅผ ์ด์šฉํ•˜์—ฌ ๊ทผ์‚ฌ ๋ฒ„์ „์„ ์ œ์‹œํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ์ ์ด ์ค‘์š”ํ•˜๋‹ค. ์ด ๋…ผ๋ฌธ์—์„œ๋Š” ์ด๋Ÿฌํ•œ ๊ทผ์‚ฌ ๋ฒ„์ „์„ ํ†ตํ•ด ๋ธŒ๋ฃจ์–ด ๊ณ ์ •์  ์ •๋ฆฌ๋ฅผ ๊ฑด์„ค์ ์œผ๋กœ ์ฆ

Mathematics Game Theory Computer Science
The Vitruvius Tale of Archimedes and the Golden Crown

The Vitruvius Tale of Archimedes and the Golden Crown

๋ณธ ๋…ผ๋ฌธ์€ ์•„๋ฅดํ‚ค๋ฉ”๋ฐ์Šค์˜ ํ™ฉ๊ธˆ ์™•๊ด€ ๋ฌธ์ œ ํ•ด๊ฒฐ ๊ณผ์ •์— ๋Œ€ํ•œ ๋น„ํŠธ๋ฃจ๋น„์šฐ์Šค์˜ ์„ค๋ช…์„ ๋ถ„์„ํ•˜๊ณ , ๊ทธ ํšจ์œจ์„ฑ์„ ๊ฒ€ํ† ํ•œ๋‹ค. ๋น„ํŠธ๋ฃจ๋น„์šฐ์Šค๋Š” ์•„๋ฅดํ‚ค๋ฉ”๋ฐ์Šค๊ฐ€ ์š•์กฐ์—์„œ ๋ฌผ์ด ๋„˜์น˜๋Š” ํ˜„์ƒ์„ ํ†ตํ•ด ์™•๊ด€ ๋‚ด ์€ ํ•จ์œ ๋Ÿ‰์„ ๊ฒฐ์ •ํ–ˆ๋‹ค๊ณ  ์„ค๋ช…ํ•˜์ง€๋งŒ, ์ด ๋ฐฉ๋ฒ•์€ ์‹ค์ œ ์‹คํ—˜์—์„œ๋Š” ๋งค์šฐ ๋ฏธ์„ธํ•œ ์ฐจ์ด๋ฅผ ์ธก์ •ํ•˜๊ธฐ์— ๋ถ€์ ํ•ฉํ•˜๋‹ค. ๋…ผ๋ฌธ์€ ์•„๋ฅดํ‚ค๋ฉ”๋ฐ์Šค๊ฐ€ ์‹ค์ œ๋กœ ์‚ฌ์šฉํ–ˆ์„ ๋ฒ•ํ•œ ๋ฌผ์‹œ๊ณ„(clepsydra)๋ฅผ ์ด์šฉํ•ด ์™•๊ด€์˜ ๋ฐ€๋„๋ฅผ ์ •ํ™•ํžˆ ์ธก์ •ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์•ˆํ•œ๋‹ค. ๋น„ํŠธ๋ฃจ๋น„์šฐ์Šค๋Š” ์•„๋ฅดํ‚ค๋ฉ”๋ฐ์Šค๊ฐ€ ์š•์กฐ์—์„œ ๋ฌผ์ด ๋„˜์น˜๋Š” ํ˜„์ƒ์„ ํ†ตํ•ด ์™•๊ด€ ๋‚ด ์€ ํ•จ์œ ๋Ÿ‰์„ ๊ฒฐ์ •ํ–ˆ๋‹ค๊ณ  ์„ค๋ช…ํ•˜์ง€๋งŒ, ์ด ๋ฐฉ๋ฒ•์€

Physics
Recursion Relations and Functional Equations for the Riemann Zeta   Function

Recursion Relations and Functional Equations for the Riemann Zeta Function

: ๋ณธ ๋…ผ๋ฌธ์€ ๋ฆฌ๋งŒ ์ œํƒ€ ํ•จ์ˆ˜(ฮถ(s))์— ๋Œ€ํ•œ ์ƒˆ๋กœ์šด ์žฌ๊ท€ ๊ด€๊ณ„๋ฅผ ํƒ๊ตฌํ•˜๊ณ  ์ด๋ฅผ ํ†ตํ•ด ๋ณต์†Œ ํ‰๋ฉด ์ƒ์˜ ๋‹ค์–‘ํ•œ ์ง€์ ์—์„œ ์ œํƒ€ ํ•จ์ˆ˜์˜ ๊ฐ’์„ ๊ณ„์‚ฐํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๊ธฐ์กด์˜ ์ œํ•œ์ ์ธ ์žฌ๊ท€ ๊ด€๊ณ„๋ฅผ ํ™•์žฅํ•˜์—ฌ, ๋ณต์žกํ•œ ํ‰๋ฉด ์ƒ์—์„œ ์ œํƒ€ ํ•จ์ˆ˜์˜ ํ–‰๋™์„ ๋” ์ž˜ ์ดํ•ดํ•˜๊ณ  ํ™œ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ๋„๊ตฌ๋ฅผ ์ œ๊ณตํ•œ๋‹ค. 1. ๋ฆฌ๋งŒ ์ œํƒ€ ํ•จ์ˆ˜์™€ ๊ธฐ๋Šฅ ๋ฐฉ์ •์‹ ๋ฆฌ๋งŒ ์ œํƒ€ ํ•จ์ˆ˜๋Š” ๋ณต์†Œ์ˆ˜ s์— ๋Œ€ํ•ด ์ •์˜๋˜๋ฉฐ, ๊ทธ ๊ธฐ๋Šฅ ๋ฐฉ์ •์‹์€ ฮถ(s) 2^s ฯ€^(s 1) sin(ฯ€s/2) ฮ“(1 s)๋กœ ์ฃผ์–ด์ง„๋‹ค. ์ด ๋ฐฉ์ •์‹์€ ๋ณ€์ˆ˜ s๋ฅผ 1 s๋กœ ๋ฐ”๊พธ์–ด๋„ ๋Œ€์นญ์„ฑ์„ ์œ 

Mathematics
Decomposition of Cellular Balleans

Decomposition of Cellular Balleans

: ์ด ๋…ผ๋ฌธ์€ ์„ธํฌ ๊ตฌ ๊ตฌ์กฐ์— ๋Œ€ํ•œ ์‹ฌ๋„ ์žˆ๋Š” ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜๋ฉฐ, ํŠนํžˆ ์ด๋Ÿฌํ•œ ๊ตฌ ๊ตฌ์กฐ์˜ ๋ถ„ํ•ด ๊ฐ€๋Šฅ์„ฑ๊ณผ ๋ฉ”ํŠธ๋ฆญํ™” ๊ฐ€๋Šฅ์„ฑ์„ ํƒ๊ตฌํ•œ๋‹ค. ๊ตฌ ๊ตฌ์กฐ๋Š” ์„ธ ๊ฐ€์ง€ ์š”์†Œ B ( X , P , B )๋กœ ๊ตฌ์„ฑ๋˜๋ฉฐ, ์—ฌ๊ธฐ์„œ X ์™€ P ๋Š” ๋น„๊ณตํ—ˆ ์ง‘ํ•ฉ์ด๊ณ , ๋ชจ๋“  x โˆˆ X ์™€ ฮฑ โˆˆ P ์— ๋Œ€ํ•ด B(x, ฮฑ) ๋Š” ๋ฐ˜์ง€๋ฆ„ ฮฑ ์˜ ๊ตฌ๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” X ์˜ ๋ถ€๋ถ„์ง‘ํ•ฉ์ด๋‹ค. ๋…ผ๋ฌธ์€ ์ด๋Ÿฌํ•œ ๊ตฌ ๊ตฌ์กฐ๊ฐ€ ๋ฉ”ํŠธ๋ฆญํ™” ๊ฐ€๋Šฅํ•˜๊ฑฐ๋‚˜ ์„ธํฌ ๊ตฌ ๊ตฌ์กฐ๋กœ ๋ถ„ํ•ด๋  ์ˆ˜ ์žˆ๋Š” ์กฐ๊ฑด์„ ์ •๋ฆฌํ•˜๊ณ  ์ฆ๋ช…ํ•œ๋‹ค. 1. ๊ตฌ ๊ตฌ์กฐ์˜ ๊ธฐ๋ณธ ๊ฐœ๋… ๊ตฌ ๊ตฌ์กฐ๋Š” ์„ธ ๊ฐ€์ง€ ์š”์†Œ B ( X , P , B )๋กœ ๊ตฌ์„ฑ๋˜๋ฉฐ

Mathematics
A possible use of the Khas protractor

A possible use of the Khas protractor

: ๋ณธ ๋…ผ๋ฌธ์€ ๊ณ ๋Œ€ ์ด์ง‘ํŠธ ๊ฑด์ถ•๊ฐ€ ์นด์˜ ๋ฌด๋ค์—์„œ ๋ฐœ๊ฒฌ๋œ ๋ฌผ์ฒด๋ฅผ ์ž(protractor)๋กœ ๊ฐ„์ฃผํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ๊ฒฝ์‚ฌ๋ฉด ๊ฐ๋„๋ฅผ ์ธก์ •ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•œ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฐ€์„ค์€ ๊ณ ๋Œ€ ์ด์ง‘ํŠธ ์„๊ณต ๊ธฐ์ˆ ๊ณผ ๊ฑด์ถ•์— ๋Œ€ํ•œ ์ดํ•ด๋ฅผ ๋„“ํžˆ๋Š” ๋ฐ ์ค‘์š”ํ•œ ์˜๋ฏธ๊ฐ€ ์žˆ๋‹ค. 1. ์นด์˜ ๋ฌด๋ค์—์„œ ๋ฐœ๊ฒฌ๋œ ๋ฌผ์ฒด ์นด์™€ ๊ทธ์˜ ์•„๋‚ด ๋ฉ”๋ฆฌํŠธ์˜ ๋ฌด๋ค์€ 18์™•์กฐ ์‹œ๋Œ€์˜ ์™„๋ฒฝํ•˜๊ฒŒ ๋ณด์กด๋œ ๋ฌด๋ค์œผ๋กœ, ์ด๊ณณ์—์„œ๋Š” ๊ฑด์ถ•๊ฐ€ ์นด๊ฐ€ ์ผ์ƒ์ ์œผ๋กœ ์‚ฌ์šฉํ•˜๋˜ ์—ฌ๋Ÿฌ ๋„๊ตฌ๋“ค์ด ๋ฐœ๊ฒฌ๋˜์—ˆ๋‹ค. ํŠนํžˆ ๋ชฉ์žฌ๋กœ ๋งŒ๋“ค์–ด์ง„ ์ ‘์ด์‹ ๊ด€์ ˆ์„ ๊ฐ€์ง„ ์ž(cubit)์™€ ๊ธ€์“ฐ๊ธฐ ๋„๊ตฌ ๋“ฑ์ด ํฌํ•จ๋˜์–ด ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ฌผํ’ˆ๋“ค์€ ์นด์˜ ์ง

Physics Mathematics
An Algebraic Specification of the Semantic Web

An Algebraic Specification of the Semantic Web

๋งค๋ ฅ์ ์ธ ํ•œ๊ธ€ ์ œ๋ชฉ: ์„ธ๋ฏธํ‹ฑ ์›น์˜ ์„ธ๋ถ„ํ™”๋œ ๋Œ€์ˆ˜์  ์‚ฌ์–‘: CafeOBJ๋ฅผ ํ™œ์šฉํ•œ ์ ‘๊ทผ ์ดˆ๋ก ์ „์ฒด ๋ฒˆ์—ญ ๋ฐ ์ •๋ฆฌ: ๋ณธ ๋…ผ๋ฌธ์€ ์ธํ„ฐ๋„ท๊ณผ ์›น ๊ธฐ์ˆ ์˜ ์ง„ํ™”์— ๋”ฐ๋ฅธ ๋ช…ํ™•ํ•œ ๊ทœ์ •๊ณผ ๊ณต์‹์ ์ธ ์„ค๋ช…์˜ ํ•„์š”์„ฑ์„ ๊ฐ•์กฐํ•˜๋ฉฐ, ์Šฌ๋ผ์ด๋“œ ์‡ผ์™€ ๊ฐ™์€ ๊ตฌ์กฐํ™”๋œ ์›น์‚ฌ์ดํŠธ์˜ ๋Œ€์ˆ˜์  ์‚ฌ์–‘์„ ์ œ์‹œํ•œ๋‹ค. ์ด ์‚ฌ์–‘์€ ๊ฐ ํŽ˜์ด์ง€๊ฐ€ ์—ฐ๊ฒฐ๋˜๋Š” ์›น์‚ฌ์ดํŠธ๋ฅผ ๋ชจ๋“ˆ ์‹œ์Šคํ…œ์„ ํ†ตํ•ด CafeOBJ๋กœ ๋ถ„ํ•ดํ•˜์—ฌ ์ •์˜ํ•œ๋‹ค. ์„ธ๋ฏธํ‹ฑ ์›น์€ ํ˜„์žฌ ์›น๊ณผ ๊ณต์กดํ•˜๋ฉฐ, ์˜๋ฏธ๋ก , ์˜๋ฏธ ๋ฐ ์ƒˆ๋กœ์šด ์—ฐ์‚ฐ์„ ์ถ”๊ฐ€ํ•จ์œผ๋กœ์จ ๋ณด์™„๋œ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” [9]์˜ ์›น ์‚ฌ์–‘์„ ํ™œ์šฉํ•˜๊ณ  ์ถ”๊ฐ€์ ์ธ ์„ธ๋ฏธํ‹ฑ ๊ธฐ์ˆ ๋“ค์„ ์‚ฌ์–‘ํ™”ํ•˜์—ฌ

Logic Computer Science
Peak Nothing: Recent Trends in Mineral Resource Production

Peak Nothing: Recent Trends in Mineral Resource Production

: 1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  ๋…ผ๋ฌธ์€ ๊ด‘๋ฌผ ์ž์›์˜ ์ƒ์‚ฐ ๋™ํ–ฅ์„ ๋ถ„์„ํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ๋ฏธ๋ž˜์˜ ์ž์› ๊ณ ๊ฐˆ ๊ฐ€๋Šฅ์„ฑ์— ๋Œ€ํ•œ ์ดํ•ด๋ฅผ ์ œ๊ณตํ•˜๋ ค๊ณ  ํ•œ๋‹ค. ํŠนํžˆ, ๊ณผ๊ฑฐ์— ๋งŽ์€ ์›๋ฃŒ๊ฐ€ ๋ฌผ๋ฅ˜์  ํŠน์„ฑ์„ ๋ณด์˜€์ง€๋งŒ, ์ตœ๊ทผ์—๋Š” ์ง€์ˆ˜ ์„ฑ์žฅ ๋˜๋Š” ์ดˆ์ง€์ˆ˜ ์„ฑ์žฅ์„ ๋‚˜ํƒ€๋‚ด๋Š” ํ˜„์ƒ์„ ๊ด€์ฐฐํ•œ๋‹ค. 2. ๋ถ„์„ ๋ฐฉ๋ฒ• ๋…ผ๋ฌธ์€ ๋ฏธ๊ตญ ์ง€์งˆ์กฐ์‚ฌ๊ตญ(USGS)์˜ ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ, ๋‹ค์–‘ํ•œ ๋น„์žฌ์ƒ ์ž์›์˜ ์—ฐ๋„๋ณ„ ์ƒ์‚ฐ๋Ÿ‰์„ ๋ถ„์„ํ•œ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ๋ˆ„์  ์ƒ์‚ฐ๋Ÿ‰๊ณผ ๋ถ„๋‹น ์„ฑ์žฅ๋ฅ  ๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ๊ทธ๋ž˜ํ”„๋กœ ๋‚˜ํƒ€๋‚ด๊ณ , ์ด๋“ค ๊ทธ๋ž˜ํ”„์—์„œ ์ถ”์„ธ ๋ณ€ํ™”๋ฅผ ํ™•์ธํ•œ๋‹ค. 3. ์ฃผ์š” ๊ฒฐ๊ณผ ์ดˆ๊ธฐ ๋ฌผ๋ฅ˜ ๋ชจ๋ธ : ๊ณผ๊ฑฐ์—๋Š” ๋งŽ์€

Physics
The architect Khas protractor

The architect Khas protractor

์ด ๋…ผ๋ฌธ์€ ๊ณ ๋Œ€ ์ด์ง‘ํŠธ์˜ ๊ฑด์ถ•๊ฐ€ ์นดํ•˜(Kha)์˜ ๋ฌด๋ค์—์„œ ๋ฐœ๊ฒฌ๋œ ๋ฌผ๊ฑด๋“ค์— ๋Œ€ํ•œ ๊นŠ์ด ์žˆ๋Š” ๋ถ„์„์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ, ์นดํ•˜์˜ ๋ฌด๋ค์—์„œ ๋ฐœ๊ฒฌ๋œ ์ €์šธ ์ผ€์ด์Šค ๋˜๋Š” ์ €์šธ ์ž์ฒด๋กœ ์ถ”์ •๋˜๋Š” ๋ฌผ์ฒด๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ๊ณ ๋Œ€ ์ด์ง‘ํŠธ ๊ฑด์ถ• ๊ธฐ์ˆ ๊ณผ ์ฒœ๋ฌธํ•™์  ์˜๋ฏธ๋ฅผ ์—ฐ๊ฒฐํ•˜๋Š” ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. 1. ์นดํ•˜์™€ ๊ทธ ์‹œ๋Œ€์˜ ๊ฑด์ถ•๊ฐ€๋“ค ์นดํ•˜(Kha)๋Š” 18์™•์กฐ(์•ฝ 1440 1350๋…„ ์ „) ์„ธ ์™•์˜ ํ†ต์น˜ ๊ธฐ๊ฐ„์— ํ™œ๋™ํ•œ ์ด์ง‘ํŠธ ๋ฐ๋ฅด ์—˜ ๋ฉ”๋””๋‚˜์—์„œ ์ค‘์š”ํ•œ ๊ฑด์ถ•๊ฐ€๋กœ ์•Œ๋ ค์ ธ ์žˆ์Šต๋‹ˆ๋‹ค. ๊ทธ์˜ ๋ฌด๋ค์€ ํ…Œ๋ฒ  ๋ฌด๋ค 8ํ˜ธ(TT8)๋กœ, ์•„์„œ ์œ„๊ฐˆ(Arthur Weigall)๊ณผ ์—๋ฅธ์Šคํ† 

Physics
A Class of Special Solutions for the Ultradiscrete Painleve II   Equation

A Class of Special Solutions for the Ultradiscrete Painleve II Equation

: ๋ณธ ๋…ผ๋ฌธ์€ ํŒŒ์ธ๋ ˆ๋ธŒ II ๋ฐฉ์ •์‹์˜ ์ดˆ๊ณ ๊ธ‰ ์ด์‚ฐํ™”๋œ ํ˜•ํƒœ๋ฅผ ์—ฐ๊ตฌํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ์–ป์–ด์ง€๋Š” ํŠน๋ณ„ํ•œ ํ•ด์— ๋Œ€ํ•ด ์‹ฌ๋„ ์žˆ๊ฒŒ ๋ถ„์„ํ•œ๋‹ค. ํŠนํžˆ, q ์ฐจ๋ถ„ ์œ ์‚ฌํ˜• ์—์–ด๋ฆฌ ๋ฐฉ์ •์‹์„ ๊ธฐ๋ฐ˜์œผ๋กœ udPII (์ดˆ๊ณ ๊ธ‰ ์ด์‚ฐํ™” ํŒŒ์ธ๋ ˆ๋ธŒ II) ๋ฐฉ์ •์‹์˜ ํŠน์ˆ˜ํ•ด๋ฅผ ๊ตฌ์ถ•ํ•˜๊ณ  ๊ทธ ์„ฑ์งˆ์„ ํƒ๊ตฌํ•œ๋‹ค. ์ดˆ๊ณผ ์ด์‚ฐํ™”์™€ p ์ดˆ๊ณผ ์ด์‚ฐํ™” ์ดˆ๊ณผ ์ด์‚ฐํ™”๋Š” ์ฃผ์–ด์ง„ ์ฐจ๋ถ„ ๋ฐฉ์ •์‹์„ ์…€ ์˜คํ† ๋งˆํ†ค์œผ๋กœ ๋ณ€ํ™˜ํ•˜๋Š” ๊ณผ์ •์ด๋‹ค. ์ด ๊ณผ์ •์—์„œ ์ข…์† ๋ณ€์ˆ˜ x<sub>n</sub> ์€ ์ด์‚ฐ ๊ฐ’์„ ๊ฐ€์ง€๊ฒŒ ๋˜๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ์›๋ž˜์˜ ๋ฏธ๋ถ„ ๋ฐฉ์ •์‹์ด ์กฐ๊ฐ ์„ ํ˜• ๋ฐฉ์ •์‹์œผ๋กœ ๊ทผ์‚ฌ๋œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ '์Œ์˜ ๋ฌธ์ œ'๋กœ

Mathematics Nonlinear Sciences
Arrival Directions of Ultrahigh Energy Showers Arrival Directions of   Ultrahigh Energy Showers

Arrival Directions of Ultrahigh Energy Showers Arrival Directions of Ultrahigh Energy Showers

์ด ๋…ผ๋ฌธ์€ ๊ณ ์—๋„ˆ์ง€ ์šฐ์ฃผ์„ ์˜ ๋„์ฐฉ ๋ฐฉํ–ฅ ๋ถ„์„์„ ํ†ตํ•ด ํŽ„์‚ฌ์™€์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ํƒ์ƒ‰ํ•˜๊ณ  ์žˆ๋‹ค. ์—ฐ๊ตฌ๋Š” ์•ผ์ฟ ์ธ ํฌ, P. Auger ๋ฐ AGASA ๋ฐฐ์—ด์—์„œ ์ˆ˜์ง‘๋œ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์ดˆ๊ณ ์—๋„ˆ์ง€ ๋Œ€๊ธฐ๊ฐœ์„ (EAS)์˜ ๋„์ฐฉ ๋ฐฉํ–ฅ์„ ๋ถ„์„ํ•œ๋‹ค. 1. ๋ฐ์ดํ„ฐ ๋ถ„์„ ๋ฐฉ๋ฒ• ๋…ผ๋ฌธ์€ ์•ผ์ฟ ์ธ ํฌ, P. Auger ๋ฐ AGASA ๋ฐฐ์—ด์˜ ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ณ ์—๋„ˆ์ง€ ์ž…์ž๋“ค์˜ ๋„์ฐฉ ๋ฐฉํ–ฅ์„ ๋ถ„์„ํ•˜์˜€๋‹ค. ํŠนํžˆ, ์•ผ์ฟ ์ธ ํฌ ๋ฐ์ดํ„ฐ๋Š” ๋‘ ๊ฐ€์ง€ ๋ณ€ํ˜•์œผ๋กœ ๋‚˜๋ˆ„์–ด ๋ถ„์„๋˜์—ˆ๋‹ค: ์ผ๋ฐ˜์ ์ธ ๋ฌด์˜จ ์ž…์ž ํ•จ์œ ๋Ÿ‰์„ ๊ฐ€์ง„ EAS์™€ ๋ฌด์˜จ ์ž…์ž ํ•จ์œ ๋Ÿ‰์ด ๋ถ€์กฑํ•œ EAS์˜ ๋„์ฐฉ ๋ฐฉํ–ฅ์ด๋‹ค. ์•ผ์ฟ ์ธ ํฌ ๋ฐฐ์—ด :

Astrophysics
Development and Modelling of High-Efficiency Computing Structure for   Digital Signal Processing

Development and Modelling of High-Efficiency Computing Structure for Digital Signal Processing

๋ณธ ๋…ผ๋ฌธ์˜ ํ•ต์‹ฌ ๋‚ด์šฉ์€ ์Šคํ”Œ๋ผ์ธ(spline) ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ํ™œ์šฉํ•œ ๊ณ ์† ์‹ ํ˜ธ ๋ณต์› ์ปดํ“จํŒ… ๊ตฌ์กฐ ๊ฐœ๋ฐœ์— ๋Œ€ํ•œ ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๋””์ง€ํ„ธ ์‹ ํ˜ธ ์ฒ˜๋ฆฌ ๋ถ„์•ผ์—์„œ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋Š” ์Šคํ”Œ๋ผ์ธ ๋ชจ๋ธ์˜ ๋ฐœ์ „๊ณผ ์ ์šฉ์— ์ค‘์ ์„ ๋‘๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. 1. ์Šคํ”Œ๋ผ์ธ ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ์ค‘์š”์„ฑ ์Šคํ”Œ๋ผ์ธ์€ ๋‹ค์–‘ํ•œ ์ฝ๊ธฐ ์ฒ˜๋ฆฌ ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ๋ณดํŽธ์„ฑ์„ ์ œ๊ณตํ•˜๋ฉฐ, ์šฐ์ˆ˜ํ•œ ๋ฏธ๋ถ„ ๋ฐ ๊ทนํ•œ ํŠน์„ฑ, ๋†’์€ ์ถ”์ • ์ˆ˜๋ ด๋„๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ์–ด ์‹ ํ˜ธ ๋ถ„์„๊ณผ ๋ณต์›์— ๋„๋ฆฌ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ ์Šคํ”Œ๋ผ์ธ์€ ๋‹จ์ˆœํ•œ ํ˜•ํƒœ์™€ ํŒŒ๋ผ๋ฏธํ„ฐ ๊ณ„์‚ฐ, ๊ทธ๋ฆฌ๊ณ  ๋ผ์šด๋“œ ์˜ค๋ฅ˜์— ๋Œ€ํ•œ ์•ฝํ•œ ์˜ํ–ฅ์œผ๋กœ ์ธํ•ด 1์ฐจ์› ๋ฐ ๋‹ค๋ณ€์ˆ˜ ์‹ 

Numerical Analysis Model Computer Science
No Image

Greedy Set Cover Estimations

๋ณธ ๋…ผ๋ฌธ์€ ์ง‘ํ•ฉ ๋ฎ๊ธฐ ๋ฌธ์ œ(Set Cover Problem)์— ๋Œ€ํ•œ ์ƒˆ๋กœ์šด ์ ‘๊ทผ ๋ฐฉ์‹์„ ์ œ์•ˆํ•˜๋ฉฐ, ํŠนํžˆ ์ด์ง„ ํƒ์ƒ‰ ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ด์šฉํ•œ ๊ทผ์‚ฌ ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ๊ฐœ์„ ์ ์„ ๋‹ค๋ฃฌ๋‹ค. ์ง‘ํ•ฉ ๋ฎ๊ธฐ ๋ฌธ์ œ๋Š” NP ์™„์ „ ๋ฌธ์ œ๋กœ ์•Œ๋ ค์ ธ ์žˆ์–ด ์ •ํ™•ํ•œ ํ•ด๊ฒฐ์ฑ…์„ ์ฐพ๋Š” ๊ฒƒ์ด ๋งค์šฐ ์–ด๋ ต๋‹ค๋Š” ์ ์—์„œ ์ค‘์š”ํ•˜๋‹ค. ๋”ฐ๋ผ์„œ, ๋ณธ ๋…ผ๋ฌธ์€ ์ด ๋ฌธ์ œ๋ฅผ ํšจ๊ณผ์ ์œผ๋กœ ๊ทผ์‚ฌํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•จ์œผ๋กœ์จ ์‹ค์šฉ์ ์ธ ํ•ด๊ฒฐ์ฑ…์„ ์ œ๊ณตํ•œ๋‹ค. ๊ธฐ์กด ์ ‘๊ทผ ๋ฐฉ์‹์˜ ํ•œ๊ณ„ ๊ธฐ์กด์˜ ์ ‘๊ทผ ๋ฐฉ์‹์—์„œ๋Š” ๊ฐ ์—ด์— ์ตœ์†Œ m๊ฐœ์˜ 1์ด ์žˆ๋Š” (0,1) ํ–‰๋ ฌ๋กœ ์ง‘ํ•ฉ ๋ฎ๊ธฐ ๋ฌธ์ œ๋ฅผ ํ‘œํ˜„ํ•˜๊ณ , ์ด์ง„ ํƒ์ƒ‰์„ ํ†ตํ•ด ๊ฐ€์žฅ ๋งŽ์€ 1์„ ํฌํ•จํ•˜

Computer Science Discrete Mathematics
Sorting Algorithms with Restrictions

Sorting Algorithms with Restrictions

์ด ๋…ผ๋ฌธ์€ ์ •๋ ฌ ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ์ œํ•œ ์กฐ๊ฑด๊ณผ ๊ทธ์— ๋”ฐ๋ฅธ ๋ณต์žก๋„๋ฅผ ๊นŠ๊ฒŒ ํƒ๊ตฌํ•˜๋ฉฐ, ํŠนํžˆ $k$ ์ •๋ ฌ ๋ฐฉ์‹๊ณผ ๋ณ‘๋ ฌ ์ •๋ ฌ ๋ฐฉ์‹์„ ์ค‘์ ์ ์œผ๋กœ ๋‹ค๋ฃฌ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ์ „ํ†ต์ ์ธ ์ •๋ ฌ ์•Œ๊ณ ๋ฆฌ์ฆ˜์—์„œ ๋ฒ—์–ด๋‚˜ ์ƒˆ๋กœ์šด ํ™˜๊ฒฝ๊ณผ ์š”๊ตฌ ์‚ฌํ•ญ์— ๋งž์ถ˜ ์ •๋ ฌ ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์‹œํ•œ๋‹ค. 1. ์„œ๋ก  ์„œ๋ก ์—์„œ๋Š” ์ •๋ ฌ์ด ๊ฐ€์žฅ ๋„๋ฆฌ ์‚ฌ์šฉ๋˜๊ณ  ์‹ฌ๋„ ์žˆ๊ฒŒ ์—ฐ๊ตฌ๋œ ๋ฌธ์ œ ์ค‘ ํ•˜๋‚˜๋ผ๋Š” ์ ์„ ๊ฐ•์กฐํ•˜๋ฉฐ, ์ „ํ†ต์ ์ธ ๊ฐ€์ •์—์„œ ๋ฒ—์–ด๋‚˜ ์ƒˆ๋กœ์šด ํ”„๋กœ์„ธ์„œ์™€ ๋ฐ์ดํ„ฐ ์ŠคํŠธ๋ฆผ์˜ ๋“ฑ์žฅ์œผ๋กœ ์ธํ•ด ๋ณ€ํ™”ํ•˜๋Š” ์ •๋ ฌ ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ๋ชจ์Šต์— ๋Œ€ํ•ด ๋…ผํ•œ๋‹ค. ์ด๋Š” ๊ธฐ์กด์˜ ์ •๋ ฌ ์•Œ๊ณ ๋ฆฌ์ฆ˜์ด ๋‹จ์ˆœํžˆ ๋‘ ์ˆซ์ž๋ฅผ ๋น„๊ตํ•˜์—ฌ ์ •๋ ฌํ•˜๋Š” ๋ฐฉ์‹์—์„œ ๋ฒ—์–ด

Computer Science Data Structures
Integration of Constraint Equations in Problems of a Disc and a Ball   Rolling on a Horizontal Plane

Integration of Constraint Equations in Problems of a Disc and a Ball Rolling on a Horizontal Plane

์ด ๋…ผ๋ฌธ์€ ์›ํ˜•๊ณผ ๊ตฌ๊ฐ€ ์ˆ˜ํ‰๋ฉด์—์„œ ๋ฏธ๋„๋Ÿฌ์ง ์—†์ด ๊ตด๋Ÿฌ๊ฐ€๋Š” ๋™์—ญํ•™์  ๋ฌธ์ œ๋ฅผ ์ฒด๊ณ„์ ์œผ๋กœ ๋ถ„์„ํ•˜๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ๊ณ ์ „ ์—ญํ•™์˜ ๋ณต์žกํ•œ ๋ฌธ์ œ๋ฅผ ๋‹จ์ˆœํ™”ํ•˜๊ณ  ํ•ด๊ฒฐํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ, ์ž์—ฐ ๋ฐฉ์ •์‹์„ ํ™œ์šฉํ•˜์—ฌ ์ ‘์ด‰ ๊ถค์ ์˜ ๊ณก๋ฅ  ์˜์กด์„ฑ์„ ๋ช…ํ™•ํžˆ ํ‘œํ˜„ํ•จ์œผ๋กœ์จ, ๊ตด๋Ÿฌ๊ฐ€๋Š” ๋™์ž‘์— ๋Œ€ํ•œ ๊นŠ์€ ์ดํ•ด์™€ ์ •๋Ÿ‰์ ์ธ ๋ถ„์„์ด ๊ฐ€๋Šฅํ•ด์ง‘๋‹ˆ๋‹ค. 1. ์›ํ˜•๊ณผ ๊ตฌ์˜ ๊ตด๋Ÿฌ๊ฐ€๋Š” ์šด๋™ ์›ํ˜•๊ณผ ๊ตฌ๊ฐ€ ์ˆ˜ํ‰๋ฉด์—์„œ ๊ตด๋Ÿฌ๊ฐˆ ๋•Œ, ์ด๋“ค์˜ ์›€์ง์ž„์€ ๋น„ํ™€๋ก ์  ์ œ์•ฝ์ด๋ผ๋Š” ๋ณต์žกํ•œ ๋™์—ญํ•™์  ์กฐ๊ฑด์— ์˜ํ•ด ๊ฒฐ์ •๋ฉ๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์ œ์•ฝ์€ ์ ‘์ด‰์  P์˜ ์œ„์น˜์™€ ์›ํ˜• ๋˜๋Š” ๊ตฌ์˜ ํšŒ์ „๊ฐ ฯ•, ์ „๋‹จ๊ฐ ฯˆ, ๊ทธ

Mathematics Nonlinear Sciences
Is Cloud Computing Steganography-proof?

Is Cloud Computing Steganography-proof?

: 1. ํด๋ผ์šฐ๋“œ ์ปดํ“จํŒ…์˜ ํŠน์„ฑ ๋ฐ ๋ณด์•ˆ ์œ„ํ˜‘ ํด๋ผ์šฐ๋“œ ์ปดํ“จํŒ…์€ ๋„คํŠธ์›Œํฌ๋ฅผ ํ†ตํ•ด ํŽธ๋ฆฌํ•˜๊ฒŒ ์ ‘๊ทผํ•  ์ˆ˜ ์žˆ๋Š” ๊ณต์œ  ๊ฐ€๋Šฅํ•œ ์ปดํ“จํŒ… ๋ฆฌ์†Œ์Šค ๋ชจ๋ธ๋กœ, ์ดˆ๊ธฐ ๋น„์šฉ์„ ์ ˆ๊ฐํ•˜๊ณ  ์œ ์—ฐ์„ฑ์„ ๋†’์ด๋Š” ๋“ฑ์˜ ์žฅ์ ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. NIST๋Š” ํด๋ผ์šฐ๋“œ ์ปดํ“จํŒ…์˜ ํ•ต์‹ฌ ํŠน์„ฑ์œผ๋กœ ์˜จ๋””๋งจ๋“œ ์…€ํ”„ ์„œ๋น„์Šค, ๊ด‘๋ฒ”์œ„ํ•œ ๋„คํŠธ์›Œํฌ ์ ‘๊ทผ, ๋ฆฌ์†Œ์Šค ํ’€๋ง, ๋น ๋ฅธ ํ™•์žฅ์„ฑ, ์ธก์ • ๊ฐ€๋Šฅํ•œ ์„œ๋น„์Šค ๋“ฑ์„ ์ œ์‹œํ•ฉ๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์žฅ์ ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ํด๋ผ์šฐ๋“œ ์ปดํ“จํŒ…์€ ๋‹ค์–‘ํ•œ ๋ณด์•ˆ ์œ„ํ˜‘์— ๋…ธ์ถœ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. ํด๋ผ์šฐ๋“œ ๋ณด์•ˆ ๋™๋งน์ด ์ •์˜ํ•œ 7๋Œ€ ์ฃผ์š” ์œ„ํ˜‘ ์ค‘ ์ผ๋ถ€๋Š” ์Šคํ…Œ๊ฐ€๋…ธ๊ทธ๋ž˜ํ”ผ์™€ ๊ด€๋ จ๋˜์–ด ์žˆ์œผ๋ฉฐ, ์ด

Cryptography and Security Computer Science
Multiscale approach for bone remodeling simulation based on finite   element and neural network computation

Multiscale approach for bone remodeling simulation based on finite element and neural network computation

: ๋ณธ ๋…ผ๋ฌธ์€ ๊ณจ ์žฌ๊ตฌ์„ฑ ๊ณผ์ •์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๊ธฐ ์œ„ํ•œ ์ƒˆ๋กœ์šด ๋‹ค์ค‘ ๊ทœ๋ชจ ์ ‘๊ทผ ๋ฐฉ์‹, ์ฆ‰ ํ•˜์ด๋ธŒ๋ฆฌ๋“œ FENN(Finite Element and Neural Network) ๋ฐฉ๋ฒ•์„ ์ œ์•ˆํ•œ๋‹ค. ์ด ๋ฐฉ๋ฒ•์˜ ํ•ต์‹ฌ์€ ์œ ํ•œ ์š”์†Œ ๋ถ„์„๊ณผ ์ธ๊ณต ์‹ ๊ฒฝ๋ง ๊ณ„์‚ฐ์„ ๊ฒฐํ•ฉํ•˜์—ฌ ๊ณจ ์žฌ๊ตฌ์„ฑ ๊ณผ์ •์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๋ณต์žกํ•œ ํ˜„์ƒ์„ ํšจ๊ณผ์ ์œผ๋กœ ๋ชจ๋ธ๋งํ•˜๊ณ  ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜๋Š” ๊ฒƒ์ด๋‹ค. 1. ๋‹ค์ค‘ ๊ทœ๋ชจ ์ ‘๊ทผ ๋ฐฉ์‹์˜ ํ•„์š”์„ฑ ๊ณจ ์žฌ๊ตฌ์„ฑ์€ ๋ผˆ์˜ ๋ฏธ์„ธ ๊ตฌ์กฐ๋ถ€ํ„ฐ ๊ฑฐ์‹œ์  ํ–‰๋™๊นŒ์ง€ ๋‹ค์–‘ํ•œ ๊ทœ๋ชจ์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๋ณต์žกํ•œ ๊ณผ์ •์ด๋‹ค. ์ด ๊ณผ์ •์„ ์ •ํ™•ํ•˜๊ฒŒ ๋ชจ๋ธ๋งํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ๊ฐ ์ˆ˜์ค€์—์„œ์˜ ์ƒํ˜ธ

Quantitative Biology Model Network Physics
E-DTN : A Multi-Interface Energy DTN Gateway

E-DTN : A Multi-Interface Energy DTN Gateway

: ๋ณธ ๋…ผ๋ฌธ์€ ์ธ๋„ ๋†์ดŒ ์ง€์—ญ์˜ ์ „๋ ฅ ๋ถ€์กฑ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ์ž์ „๊ฑฐ ๋™๋ ฅ์„ ํ™œ์šฉํ•œ ๋ฌด์„  ์„ผ์„œ ๋„คํŠธ์›Œํฌ ๊ฒŒ์ดํŠธ์›จ์ด์ธ E DTN์„ ์ œ์•ˆํ•˜๊ณ , ์ด๋ฅผ ๊ตฌํ˜„ ๋ฐ ํ‰๊ฐ€ํ•œ๋‹ค. ์ด ์‹œ์Šคํ…œ์€ Bluetooth, Wi Fi, GPRS ๊ธฐ์ˆ ์„ ํ†ตํ•ฉํ•˜์—ฌ ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘๊ณผ ์ธํ„ฐ๋„ท ์—ฐ๊ฒฐ์„ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•˜๋ฉฐ, ํŠนํžˆ ์ž์ „๊ฑฐ ๋™๋ ฅ์œผ๋กœ ์—๋„ˆ์ง€๋ฅผ ์ƒ์„ฑํ•˜๊ณ  ์ง€์—ฐ/์ค‘๋‹จ ๋‚ด์„ฑ ๋„คํŠธ์›Œํฌ(DTN) ์Šคํƒ์„ ํ™œ์šฉํ•ด ์—๋„ˆ์ง€ ํšจ์œจ์„ฑ์„ ๊ทน๋Œ€ํ™”ํ•œ๋‹ค. 1. ์„œ๋ก  ์„œ๋ก ์—์„œ๋Š” ์„ผ์„œ ๋„คํŠธ์›Œํฌ ํด๋Ÿฌ์Šคํ„ฐ์—์„œ ๋ฐ์ดํ„ฐ๋ฅผ ์ „๋‹ฌํ•˜๋Š” ๋‹ค์–‘ํ•œ ๊ฒŒ์ดํŠธ์›จ์ด ๊ธฐ์ˆ ์— ๋Œ€ํ•ด ์„ค๋ช…ํ•˜๊ณ , ์ธ๋„ ๋†์ดŒ ์ง€์—ญ์˜ ์ฃผ์š” ์žฅ์• ๋ฌผ ์ค‘

Networking Computer Science
Fingerprint recognition using standardized fingerprint model

Fingerprint recognition using standardized fingerprint model

์ง€๋ฌธ ์ธ์‹์€ ์ƒ์ฒด ์ธ์‹ ๊ธฐ์ˆ  ์ค‘ ํ•˜๋‚˜๋กœ, ๊ณ ์œ ํ•œ ํŠน์ง•๊ณผ ์ง€์†์„ฑ ๋•๋ถ„์— ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ €ํ’ˆ์งˆ ์ด๋ฏธ์ง€๋‚˜ ์†Œํ˜• ์˜์—ญ์—์„œ ํš๋“๋œ ๋ฐ์ดํ„ฐ๋ฅผ ์ฒ˜๋ฆฌํ•˜๋Š” ๋ฐ ์–ด๋ ค์›€์ด ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ๋…ผ๋ฌธ์—์„œ๋Š” ์ด๋Ÿฌํ•œ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ํ‘œ์ค€ํ™”๋œ ์ง€๋ฌธ ํ…œํ”Œ๋ฆฟ ๋ชจ๋ธ์„ ์ œ์•ˆํ•ฉ๋‹ˆ๋‹ค. 1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ ์ง€๋ฌธ ์ธ์‹์˜ ํ•ต์‹ฌ์€ ํ…œํ”Œ๋ฆฟ๊ณผ ์ฟผ๋ฆฌ ์ง€๋ฌธ ๊ฐ„์˜ ๋งค์นญ์ž…๋‹ˆ๋‹ค. ์ด ๊ณผ์ •์—์„œ ๋‹ค์–‘ํ•œ ์•Œ๊ณ ๋ฆฌ์ฆ˜์ด ๊ฐœ๋ฐœ๋˜์—ˆ์ง€๋งŒ, ํŠนํžˆ ์ง€๋ฌธ์ด ํšŒ์ „๋˜๊ฑฐ๋‚˜ ๊ต์ฐจ ๋ถ€๋ถ„์ด ์ž‘์€ ๊ฒฝ์šฐ ์ •ํ™•๋„๊ฐ€ ๋–จ์–ด์ง‘๋‹ˆ๋‹ค. ์ด๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ํ‘œ์ค€ํ™”๋œ ์ง€๋ฌธ ํ…œํ”Œ๋ฆฟ ๋ชจ๋ธ์„ ์ œ์•ˆํ•ฉ๋‹ˆ๋‹ค. 2. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

Model Computer Vision Computer Science
On the Simulation of Adaptive Measurements via Postselection

On the Simulation of Adaptive Measurements via Postselection

๋ณธ ๋…ผ๋ฌธ์€ ์–‘์ž ๊ณ„์‚ฐ ๋ชจ๋ธ์—์„œ ์ ์‘ ์ธก์ •์ด ํฌ์ŠคํŠธ์„ ํƒ์„ ํ†ตํ•ด ์‹œ๋ฎฌ๋ ˆ์ด์…˜๋  ์ˆ˜ ์žˆ๋Š”์ง€์— ๋Œ€ํ•œ ํƒ๊ตฌ๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ์ง„ํ–‰๋ฉ๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ์–‘์ž ์ปดํ“จํŒ… ๋ถ„์•ผ์—์„œ ์ค‘์š”ํ•œ ์˜๋ฏธ๋ฅผ ์ง€๋‹ˆ๋ฉฐ, ํŠนํžˆ P ๋ฌธ์ œ ํ•ด๊ฒฐ ๋Šฅ๋ ฅ๊ณผ ๊ฐ™์€ ์ž ์žฌ์ ์ธ ํ˜์‹ ์  ๊ฒฐ๊ณผ๋ฅผ ์ œ์‹œํ•ฉ๋‹ˆ๋‹ค. 1. ์„œ๋ก  ์„œ๋ก ์—์„œ๋Š” ํฌ์ŠคํŠธBQP(PostBQP) ๋ณต์žก์„ฑ ํด๋ž˜์Šค์— ๋Œ€ํ•œ ์†Œ๊ฐœ์™€ ์•„๋ก ์†์ด ์ œ๊ธฐํ•œ ํฅ๋ฏธ๋กœ์šด ์งˆ๋ฌธ์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ํฌ์ŠคํŠธBQP๋Š” ํฌ์ŠคํŠธ์„ ํƒ๊ณผ ์ œํ•œ๋œ ์˜ค์ฐจ๋ฅผ ๊ฐ€์ง„ ์–‘์ž ํŠœ๋ง ๋จธ์‹ ์—์„œ ํ•ด๊ฒฐ ๊ฐ€๋Šฅํ•œ ๋ชจ๋“  ๊ณ„์‚ฐ ๋ฌธ์ œ๋ฅผ ํฌํ•จํ•˜๋Š” ๋ณต์žก์„ฑ ํด๋ž˜์Šค์ž…๋‹ˆ๋‹ค. ๋˜ํ•œ, ํฌ์ŠคํŠธBQP๊ฐ€ ํ™•๋ฅ ์  ํŠœ๋ง ๋จธ์‹ ์— ์˜ํ•ด

Quantum Physics Computational Complexity Computer Science
An Ontology-driven Framework for Supporting Complex Decision Process

An Ontology-driven Framework for Supporting Complex Decision Process

: ๋ณธ ๋…ผ๋ฌธ์€ ๋ณต์žกํ•œ ๊ทธ๋ฃน ์˜์‚ฌ๊ฒฐ์ • ๊ณผ์ •์„ ์ง€์›ํ•˜๊ธฐ ์œ„ํ•œ ์˜จํ†จ๋กœ์ง€ ๊ธฐ๋ฐ˜ ํ”„๋ ˆ์ž„์›Œํฌ๋ฅผ ์†Œ๊ฐœํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ์˜์‚ฌ๊ฒฐ์ • ๊ณผ์ •์˜ ํšจ์œจ์„ฑ๊ณผ ์ •ํ™•์„ฑ์„ ํ–ฅ์ƒ์‹œํ‚ค๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•ฉ๋‹ˆ๋‹ค. ์ด ๋…ผ๋ฌธ์€ DSS(Decision Support System)์˜ ์ง„ํ™”์™€ ํ•จ๊ป˜ ๊ฐœ๋ฐœ๋˜์—ˆ์œผ๋ฉฐ, ํŠนํžˆ ์—ฌ๋Ÿฌ ์‚ฌ๋žŒ์ด ์ฐธ์—ฌํ•˜๋Š” ๋ณต์žกํ•œ ์˜์‚ฌ๊ฒฐ์ • ๋ฌธ์ œ์— ์ดˆ์ ์„ ๋งž์ถฅ๋‹ˆ๋‹ค. 1. DSS์˜ ๋ฐœ์ „๊ณผ ๊ทธ๋ฃน ์˜์‚ฌ๊ฒฐ์ • DSS๋Š” 1960๋…„๋Œ€ ํ›„๋ฐ˜๋ถ€ํ„ฐ ์˜์‚ฌ๊ฒฐ์ •์ž์˜ ํšจ์œจ์„ฑ๊ณผ ์ •ํ™•์„ฑ์„ ํ–ฅ์ƒ์‹œํ‚ค๊ธฐ ์œ„ํ•ด ์ œ์•ˆ๋˜์–ด ์™”์Šต๋‹ˆ๋‹ค. ์ดˆ๊ธฐ์—๋Š” ๊ฐœ์ธ์˜ ๊ฒฐ์ •์— ์ดˆ์ ์„ ๋งž์ถ”์—ˆ์ง€๋งŒ, ์—ฐ๊ตฌ์ž๋“ค์€ ์‹ค์ œ ์˜์‚ฌ๊ฒฐ์ •์ด ์ข…์ข…

Framework Computer Science Artificial Intelligence
The Swift/XRT Catalogue of GRBs

The Swift/XRT Catalogue of GRBs

: ์ด ๋…ผ๋ฌธ์€ ๊ฐ๋งˆ์„  ํญ๋ฐœ(Gamma Ray Burst, GRB)์˜ X ์„  ํ›„๊ด‘์— ๋Œ€ํ•œ ์‹ฌ๋„ ์žˆ๋Š” ๋ถ„์„์„ ์ œ๊ณตํ•˜๋ฉฐ, ์ด๋ฅผ ์œ„ํ•ด ์Šค์œ—(Swift) ์œ„์„ฑ์˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜๊ณ  ์žˆ๋‹ค. ์Šค์œ— ์œ„์„ฑ์ด 2010๋…„ ๋ง๊นŒ์ง€ ๊ด€์ธกํ•œ ์ด 658๊ฐœ์˜ ๊ฐ๋งˆ์„  ํญ๋ฐœ ์ค‘์—์„œ ์ ์ƒ‰ํŽธ์ด ๊ฐ’์ด ์ธก์ •๋œ 165๊ฐœ, ๊ธด GRB 414๊ฐœ(์ ์ƒ‰ํŽธ์ด ๊ฐ’์ด ์žˆ๋Š” 153๊ฐœ), ์งง์€ GRB 23๊ฐœ(์ ์ƒ‰ํŽธ์ด ๊ฐ’์ด ์žˆ๋Š” 12๊ฐœ)๋ฅผ ๋ถ„์„ํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” X ์„  ๋ง์›๊ฒฝ(XRT)์„ ํ†ตํ•ด ์ดˆ๊ธฐ ํŠธ๋ฆฌ๊ฑฐ ํ›„ ์•ฝ 80์ดˆ๋ถ€ํ„ฐ ๋ถ€๋“œ๋Ÿฌ์šด X ๋ ˆ์ด ๋ฐด๋“œ์—์„œ ๋ชจ๋‹ˆํ„ฐ๋งํ•œ ๊ฒฐ๊ณผ, GRB์˜ X ์„  ํ›„๊ด‘์€ ์ƒ๋Œ€

Astrophysics
Gravitational constant calculation methodologies

Gravitational constant calculation methodologies

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ์ค‘๋ ฅ ์ƒ์ˆ˜(G)๋Š” ์ค‘๋ ฅ์„ ์ดํ•ดํ•˜๊ณ , ์šฐ์ฃผ์™€ ์ง€๊ตฌ ๋‚ด์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๋‹ค์–‘ํ•œ ํ˜„์ƒ์„ ์„ค๋ช…ํ•˜๋Š”๋ฐ ํ•„์ˆ˜์ ์ธ ๋ฌผ๋ฆฌ ์ƒ์ˆ˜์ด๋‹ค. ์ด ๋…ผ๋ฌธ์€ G์˜ ์ •ํ™•ํ•œ ๊ณ„์‚ฐ ๋ฐฉ๋ฒ•์„ ๊ฐœ๋ฐœํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ๊ณผํ•™ ๋ฐ ๊ณตํ•™ ๋ถ„์•ผ์— ์ค‘์š”ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น  ์ˆ˜ ์žˆ๋Š” ๊ฐ€๋Šฅ์„ฑ์„ ํƒ์ƒ‰ํ•œ๋‹ค. 2. ์—ฐ๊ตฌ ๋ชฉ์  ๋ณธ ์—ฐ๊ตฌ๋Š” ์ฃผ๋กœ ์„ธ ๊ฐ€์ง€ ์ ‘๊ทผ ๋ฐฉ์‹์„ ์‚ฌ์šฉํ•˜์—ฌ ์ค‘๋ ฅ ์ƒ์ˆ˜(G)๋ฅผ ๊ณ„์‚ฐํ•˜๋Š” ๋ฐฉ๋ฒ•๋ก ์„ ๊ฒ€ํ† ํ•˜๋ฉฐ, ํŠนํžˆ ๋น„๊ท ์ผ ๊ฐ€์Šค ํ๋ฆ„์ด G ๊ฐ’์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋ถ„์„ํ•˜๊ณ ์ž ํ•œ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด G์˜ ์ •ํ™•ํ•œ ๊ฐ’์„ ์–ป๊ธฐ ์œ„ํ•œ ์ƒˆ๋กœ์šด ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์‹œํ•œ๋‹ค. 3. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• ๋ฐฉ๋ฒ• 1: ๋ถˆ์กฐํ™” ์ง„๋™

Physics
A note on the generalized min-sum set cover problem

A note on the generalized min-sum set cover problem

๋งค๋ ฅ์ ์ธ ํ•œ๊ธ€ ์ œ๋ชฉ: ์ผ๋ฐ˜ํ™”๋œ ์ตœ์†Œ ํ•ฉ ์ง‘ํ•ฉ ์ปค๋ฒ„ ๋ฌธ์ œ์— ๋Œ€ํ•œ ๊ฐœ์„ ๋œ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ์ดˆ๋ก ์ „์ฒด ๋ฒˆ์—ญ ๋ฐ ์ •๋ฆฌ: ์ด ๋…ผ๋ฌธ์—์„œ๋Š” ์ผ๋ฐ˜ํ™”๋œ ์ตœ์†Œ ํ•ฉ ์ง‘ํ•ฉ ์ปค๋ฒ„ ๋ฌธ์ œ๋ฅผ ๋‹ค๋ฃจ๋ฉฐ, ์ด ๋ฌธ์ œ๋Š” Feige, Lovรกsz, Tetali์™€ Hassin, Levin์ด ๊ฐ๊ฐ ์†Œ๊ฐœํ•œ ์ตœ์†Œ ํ•ฉ ์ง‘ํ•ฉ ์ปค๋ฒ„ ๋ฌธ์ œ์™€ ์ตœ์†Œ ์ง€์—ฐ ์ง‘ํ•ฉ ์ปค๋ฒ„ ๋ฌธ์ œ์˜ ์ผ๋ฐ˜ํ™”์ž…๋‹ˆ๋‹ค. Azar, Gamzu, Yin์€ O(log r) ๊ทผ์‚ฌ ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ œ์‹œํ–ˆ์œผ๋ฉฐ, Bansal, Gupta, Krishnaswamy๋Š” ์ด๋ฅผ ๊ฐœ์„ ํ•˜์—ฌ 485.1์˜ ์„ฑ๋Šฅ ๋ณด์žฅ์„ ๋‹ฌ์„ฑํ–ˆ์Šต๋‹ˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” Skutella

Data Structures Computer Science
A Novel Adaptive Routing through Fitness Function Estimation Technique   with Multiple QoS Parameters Compliance

A Novel Adaptive Routing through Fitness Function Estimation Technique with Multiple QoS Parameters Compliance

๋ณธ ๋…ผ๋ฌธ์€ ๋„คํŠธ์›Œํฌ ๋ผ์šฐํŒ… ๊ธฐ์ˆ  ์ค‘ ํ•˜๋‚˜์ธ ๊ฑฐ๋ฆฌ ๋ฒกํ„ฐ(DV) ํ”„๋กœํ† ์ฝœ์„ ๊ฐœ์„ ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ, ๋‹ค์ค‘ QoS ๋งค๊ฐœ๋ณ€์ˆ˜๋ฅผ ์ค€์ˆ˜ํ•˜๋ฉด์„œ๋„ ํšจ์œจ์ ์ธ ๊ฒฝ๋กœ ์„ ํƒ์ด ๊ฐ€๋Šฅํ•œ ์ƒˆ๋กœ์šด ์ ์‘ํ˜• ๋ผ์šฐํŒ… ๊ธฐ๋ฒ•์— ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. 1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  ๋ผ์šฐํŒ…์€ ๋„คํŠธ์›Œํฌ์—์„œ ๋ฐ์ดํ„ฐ ํŒจํ‚ท์„ ์›ํ•˜๋Š” ๋ชฉ์ ์ง€๊นŒ์ง€ ์ „์†กํ•˜๊ธฐ ์œ„ํ•œ ํ•ต์‹ฌ ๊ธฐ์ˆ ์ž…๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, ๊ธฐ์กด์˜ DV ์•Œ๊ณ ๋ฆฌ์ฆ˜์€ ๋ผ์šฐํŒ… ๋ฃจํ”„์™€ count to infinity ๋ฌธ์ œ ๋“ฑ์˜ ํ•œ๊ณ„๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ฌธ์ œ์ ์„ ํ•ด๊ฒฐํ•˜๊ณ ์ž ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ŠคํŒฌ๋‹ ํŠธ๋ฆฌ ์ ‘๊ทผ ๋ฐฉ์‹์„ ํ™œ์šฉํ•œ ์ƒˆ๋กœ์šด

Networking Computer Science
Kunchenkos Polynomials for Template Matching

Kunchenkos Polynomials for Template Matching

: ๋ณธ ๋…ผ๋ฌธ์€ 1์ฐจ์› ๋””์ง€ํ„ธ ์‹ ํ˜ธ์—์„œ ํŠน์ • ๊ฐ์ฒด๋ฅผ ์ธ์‹ํ•˜๋Š” ๋ฌธ์ œ์— ๋Œ€ํ•œ ์ƒˆ๋กœ์šด ์ ‘๊ทผ๋ฒ•์„ ์ œ์‹œํ•˜๊ณ  ์žˆ๋‹ค. ์ด๋Š” ์ปดํ“จํ„ฐ ๋น„์ „, ํ•„๊ธฐ ๋ฌธ์ž ์ธ์‹, ๋ฐ์ดํ„ฐ ๋งˆ์ด๋‹ ๋“ฑ ๋‹ค์–‘ํ•œ ๋ถ„์•ผ์—์„œ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋Š” ํ…œํ”Œ๋ฆฟ ๋งค์นญ์˜ ํ•œ ํ˜•ํƒœ๋กœ ๋ณผ ์ˆ˜ ์žˆ๋‹ค. 1. ๊ธฐ์กด ๋ฐฉ๋ฒ•๊ณผ ์ฟจ์ฒธ์ฝ” ๋‹คํ•ญ์‹์˜ ์ฐจ๋ณ„ํ™” ๊ธฐ์กด์˜ ํ…œํ”Œ๋ฆฟ ๋งค์นญ ๋ฐฉ๋ฒ•์€ ํฌ๊ฒŒ ๋‘ ๊ฐ€์ง€๋กœ ๋‚˜๋ˆŒ ์ˆ˜ ์žˆ๋‹ค: ์ธ๊ณต ์‹ ๊ฒฝ๋ง์„ ํ™œ์šฉํ•œ ํ•™์Šต ๋ฐฉ์‹๊ณผ ํŠน์ง• ๊ธฐ๋ฐ˜ ๋˜๋Š” ์ „์ฒด ํ…œํ”Œ๋ฆฟ ๊ธฐ๋ฐ˜ ๋น„๊ต ๋ฐฉ์‹์ด๋‹ค. ์ด ์ค‘ ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ํŠนํžˆ ์ „์ฒด ํ…œํ”Œ๋ฆฟ ๊ฒ€์ƒ‰์— ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ์œผ๋ฉฐ, ์ด๋ฅผ ์œ„ํ•ด ์ฟจ์ฒธ์ฝ” ๋‹คํ•ญ์‹์ด๋ผ๋Š” ์ƒˆ๋กœ์šด ์ ‘๊ทผ๋ฒ•์„ ์ œ

Computer Science Computer Vision
No Image

The M/M/Infinity Service System with Ranked Servers in Heavy Traffic

: ๋ณธ ๋…ผ๋ฌธ์€ ๋ฌดํ•œ ์„œ๋ฒ„ ์‹œ์Šคํ…œ์—์„œ ๊ณ ๊ฐ ์ฒ˜๋ฆฌ ๊ณผ์ •์„ ์ˆ˜ํ•™์ ์œผ๋กœ ํƒ๊ตฌํ•˜๋ฉฐ, ํŠนํžˆ Newell์ด ์ œ๊ธฐํ•œ ๊ท ํ˜• ์ƒํƒœ์—์„œ ์ƒˆ๋กœ์šด ๊ณ ๊ฐ์„ ์ฒ˜๋ฆฌํ•˜๋Š” ์„œ๋ฒ„์˜ ์ธ๋ฑ์Šค ๋ถ„ํฌ์— ๋Œ€ํ•œ ๋ฌธ์ œ๋ฅผ ๋‹ค๋ฃฌ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๊ธฐ์กด์˜ ๊ทผ์‚ฌ์‹๋“ค์— ๋Œ€ํ•œ ์—„๋ฐ€ํ•œ ์ฆ๋ช…๊ณผ ๋” ๋†’์€ ์ฐจ์ˆ˜์˜ ๋ถ„ํฌ๋ฅผ ํ™•๋ฆฝํ•˜๋Š”๋ฐ ์ดˆ์ ์„ ๋งž์ถ˜๋‹ค. ๋…ผ๋ฌธ์—์„œ ์ฃผ์š” ๊ด€์‹ฌ์‚ฌ๋Š” ๊ณ ๊ฐ์ด ๋„์ฐฉํ•  ๋•Œ ๊ฐ€์žฅ ๋‚ฎ์€ ์ธ๋ฑ์Šค๋ฅผ ๊ฐ€์ง„ ๋น„์–ด์žˆ๋Š” ์„œ๋ฒ„์— ํ• ๋‹น๋˜๋Š” ๊ณผ์ •์ด๋‹ค. ์ด๋Š” M/M/โˆž ์„œ๋น„์Šค ์‹œ์Šคํ…œ์ด๋ผ๊ณ  ์•Œ๋ ค์ ธ ์žˆ์œผ๋ฉฐ, ฮป โ†’ โˆž์˜ ํ•œ๊ณ„ ์ƒํ™ฉ์—์„œ ๊ด‘๋ฒ”์œ„ํ•˜๊ฒŒ ์—ฐ๊ตฌ๋˜์—ˆ๋‹ค. Newell์€ L์ด '

Performance Mathematics Computer Science System
Computational Fluid Dynamics In GARUDA Grid Environment

Computational Fluid Dynamics In GARUDA Grid Environment

๋ณธ ๋…ผ๋ฌธ์€ ๊ณ„์‚ฐ ์œ ์ฒด์—ญํ•™(CFD) ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์˜ ํšจ์œจ์ ์ธ ๊ตฌํ˜„๊ณผ ๊ทธ๋ฆฌ๋“œ ์ปดํ“จํŒ… ํ™˜๊ฒฝ์˜ ์ค‘์š”์„ฑ์„ ๊ฐ•์กฐํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ, ๊ตญ๊ฐ€ ์ง€์‹ ๋„คํŠธ์›Œํฌ(NKN) ๊ธฐ๋ฐ˜์˜ GARUDA ๊ทธ๋ฆฌ๋“œ ํ™˜๊ฒฝ์„ ํ™œ์šฉํ•˜์—ฌ CFD ๋ชจ๋ธ์„ ๊ตฌํ˜„ํ•จ์œผ๋กœ์จ, ๊ณ ์„ฑ๋Šฅ ์ปดํ“จํŒ…(HPC) ์ž์› ๋ถ€์กฑ๊ณผ ๋ณต์žกํ•œ ๋„๊ตฌ ๊ฒฐํ•ฉ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๋ ค๋Š” ์‹œ๋„๊ฐ€ ๋‹๋ณด์ž…๋‹ˆ๋‹ค. 1. CFD์™€ HPC์˜ ๊ด€๊ณ„ CFD๋Š” ๋ณต์žกํ•œ ์œ ์ฒด ์—ญํ•™ ๋ฌธ์ œ๋ฅผ ์ˆ˜์น˜์ ์œผ๋กœ ๋ชจ๋ธ๋งํ•˜๊ณ  ๋ถ„์„ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋˜๋Š” ๊ธฐ์ˆ ๋กœ, ์ด๋ฅผ ์ˆ˜ํ–‰ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ๋Œ€๊ทœ๋ชจ ๊ณ„์‚ฐ ์ž์›์ด ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค. ์ด์— ๋”ฐ๋ผ CFD๋Š” HPC ๋ฐœ์ „์˜ ํ•ต์‹ฌ ๋™๋ ฅ ์ค‘ ํ•˜๋‚˜์ž…

Physics
Nucleated polymerisation in the presence of pre-formed seed filaments

Nucleated polymerisation in the presence of pre-formed seed filaments

: ๋ณธ ๋…ผ๋ฌธ์€ ์˜ค์˜ค์‚ฌ์™€(Oosawa)์˜ ๊ณ ์ „์ ์ธ ๋ˆ„ํด๋ ˆ์ดํ‹ฐ๋“œ ์ค‘ํ•ฉ ์ด๋ก ์„ ํ™•์žฅํ•˜์—ฌ, ์ƒ๋ฌผ ํ•„๋ผ๋ฉ˜ํŠธ ์„ฑ์žฅ์„ ์„ค๋ช…ํ•˜๋Š” ์ƒˆ๋กœ์šด ๊ด€์ ์„ ์ œ์‹œํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ ์ฃผ๋œ ๊ด€์‹ฌ์‚ฌ๋Š” ์‚ฌ์ „ ํ˜•์„ฑ๋œ ์”จ์•— ๋ฌผ์งˆ์ด ์กด์žฌํ•˜๋Š” ์‹œ์Šคํ…œ์—์„œ์˜ ์ค‘ํ•ฉ ๊ณผ์ •์ž…๋‹ˆ๋‹ค. 1. ๋ˆ„ํด๋ ˆ์ดํ‹ฐ๋“œ ์ค‘ํ•ฉ ์ด๋ก ์˜ ๋ฐฐ๊ฒฝ ์˜ค์˜ค์‚ฌ์™€๋Š” 1960๋…„๋Œ€์— ์ƒ๋ฌผ ํ•„๋ผ๋ฉ˜ํŠธ ์„ฑ์žฅ์„ ์„ค๋ช…ํ•˜๊ธฐ ์œ„ํ•ด ๋ˆ„ํด๋ ˆ์ดํ‹ฐ๋“œ ์ค‘ํ•ฉ ์ด๋ก ์„ ๊ฐœ๋ฐœํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด ์ด๋ก ์€ ์ฃผ๋œ ๋ˆ„ํด๋ ˆ์ด์…˜๊ณผ ๊ธธ์–ด์ง, ๊ทธ๋ฆฌ๊ณ  ๋ถ„ํ•ด ๊ณผ์ •์„ ๊ณ ๋ คํ•˜์—ฌ ์•กํ‹ด๊ณผ ํŠœ๋ถˆ๋ฆฐ ๊ฐ™์€ ๋‹จ๋ฐฑ์งˆ์˜ ์ค‘ํ•ฉ์„ ์„ค๋ช…ํ•ฉ๋‹ˆ๋‹ค. ์ดํ›„ ์—ํŠผ๊ณผ ํŽ˜๋ก ๋„ค๋Š” ์ด ์ด๋ก ์„ ํ™•์žฅํ•˜์—ฌ ์ฐจ์„ธ๋Œ€ ๋ˆ„ํด๋ ˆ์ด์…˜ ๊ฒฝ

Quantitative Biology Physics Condensed Matter
Convex hyperspaces of probability measures and extensors in the   asymptotic category

Convex hyperspaces of probability measures and extensors in the asymptotic category

๋งค๋ ฅ์ ์ธ ํ•œ๊ธ€ ์ œ๋ชฉ: ํ™•๋ฅ  ์ธก๋„ ๊ณต๊ฐ„์—์„œ ์••์ถ• ๊ณต์ง‘์˜ ์ ˆ๋Œ€ ํ™•์žฅ์„ฑ ์—ฐ๊ตฌ ์ดˆ๋ก ์ „์ฒด ๋ฒˆ์—ญ ๋ฐ ์ •๋ฆฌ: ๋ณธ ๋…ผ๋ฌธ์€ ๋ฉ”ํŠธ๋ฆญ ๊ณต๊ฐ„ ์œ„์— ์ •์˜๋œ ํ™•๋ฅ  ์ธก๋„ ๊ณต๊ฐ„๊ณผ ๊ทธ ํ•˜์ดํผ์ŠคํŽ˜์ด์Šค์ธ ์••์ถ• ๊ณต์ง‘์˜ ์ ˆ๋Œ€ ํ™•์žฅ์ž ์„ฑ์งˆ์„ ํƒ๊ตฌํ•œ๋‹ค. ํŠนํžˆ, ๊ทผ์‚ฌ ๋ฒ”์ฃผ์—์„œ ์ด๋Ÿฌํ•œ ๊ณต๊ฐ„๋“ค์ด ์ ˆ๋Œ€ ํ™•์žฅ์ž๊ฐ€ ๋˜๋Š”์ง€ ์—ฌ๋ถ€๋ฅผ ๋ถ„์„ํ•œ๋‹ค. ๋…ผ๋ฌธ์€ ๋“œ๋ผ๋‹ˆ์‹œ๋‹ˆ์ฝ”ํ”„๊ฐ€ ์ œ๊ธฐํ•œ ๋ฌธ์ œ์— ๋Œ€ํ•œ ๋ถ€์ •์ ์ธ ๋‹ต๋ณ€์„ ์ œ๊ณตํ•˜๋ฉฐ, ์ด๋Š” ๋ฉ”ํŠธ๋ฆญ ๊ณต๊ฐ„์˜ ํ™•๋ฅ  ์ธก๋„ ๊ณต๊ฐ„์ด ์ผ๋ฐ˜์ ์œผ๋กœ ๊ทผ์‚ฌ ๋ฒ”์ฃผ์˜ ์ ˆ๋Œ€ ํ™•์žฅ์ž๊ฐ€ ์•„๋‹ˆ๋ผ๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ค€๋‹ค. ๋˜ํ•œ, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์••์ถ• ๊ณต์ง‘์˜ ํŠน์„ฑ์„ ๋ถ„์„ํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ํ™•๋ฅ  ์ธก๋„ ๊ณต

Mathematics
Integral Value Transformations: A Class of Discrete Dynamical Systems

Integral Value Transformations: A Class of Discrete Dynamical Systems

์ด ๋…ผ๋ฌธ์€ Integral Value Transformations (IVTs)๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ์ด์งˆ์  ๋™์—ญํ•™ ์‹œ์Šคํ…œ๊ณผ ๊ทธ ์•ˆ์ •์„ฑ์— ๋Œ€ํ•œ ๊นŠ์ด ์žˆ๋Š” ๋ถ„์„์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. IVT๋Š” Sk. S. Hassan ์™ธ ์—ฐ๊ตฌ์ž๋“ค์— ์˜ํ•ด ์†Œ๊ฐœ๋˜์—ˆ์œผ๋ฉฐ, p adic ์‹œ์Šคํ…œ์—์„œ Collatz ์œ ์‚ฌ ํ•จ์ˆ˜์™€ ๊ด€๋ จ์ด ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ณ€ํ™˜์€ ์…€๋ฃฐ๋Ÿฌ ์˜คํ† ๋งˆํƒ€์™€ ์œ ์‚ฌํ•œ ๋ฐฉ์‹์œผ๋กœ ์—ฐ๊ตฌ๋˜์–ด ์™”์Šต๋‹ˆ๋‹ค. ๋™์—ญํ•™ ์‹œ์Šคํ…œ์˜ ์ •์˜ ๋ฐ ๋ถ„์„ ๋…ผ๋ฌธ์—์„œ๋Š” IVTs๊ฐ€ ๋ฐ˜๋ณต์ ์œผ๋กœ ์ ์šฉ๋  ๋•Œ ํ˜•์„ฑ๋˜๋Š” ์ด์งˆ์  ๋™์—ญํ•™ ์‹œ์Šคํ…œ์„ ํƒ๊ตฌํ•ฉ๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ํ•จ์ˆ˜๋“ค์ด ์‹œ๊ฐ„์— ๋”ฐ๋ผ ์–ด๋–ป๊ฒŒ ์ง„ํ™”ํ•˜๊ณ  ํ˜ผ๋ž€์Šค๋Ÿฌ์šด

System Mathematics Computer Science Discrete Mathematics
QCDMAPT_F: Fortran version of QCDMAPT package

QCDMAPT_F: Fortran version of QCDMAPT package

QCDMAPT F๋Š” ์–‘์ž ์ƒ‰์—ญํ•™(QCD) ๋ถ„์•ผ์—์„œ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋Š” ํ”„๋กœ๊ทธ๋žจ ํŒจํ‚ค์ง€๋กœ, ์ด์ „ ๋ฒ„์ „์ธ Maple ์‹œ์Šคํ…œ์šฉ QCDMAPT๋ฅผ Fortran์œผ๋กœ ๊ตฌํ˜„ํ•œ ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ด ํŒจํ‚ค์ง€๋Š” ๊ฐ•ํ•œ ์ƒํ˜ธ์ž‘์šฉ์˜ ๋ณต์žก์„ฑ์„ ๋‹ค๋ฃจ๋Š” ๋ฐ ์žˆ์–ด ํ•ต์‹ฌ์ ์ธ ๋„๊ตฌ์ด๋ฉฐ, ํŠนํžˆ ์ŠคํŽ™ํŠธ๋Ÿผ ํ•จ์ˆ˜ ๊ณ„์‚ฐ์— ์ค‘์ ์„ ๋‘๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. 1. ํ”„๋กœ๊ทธ๋žจ ๊ฐœ์š” QCDMAPT F๋Š” Fortran 77 ์ด์ƒ์„ ์ง€์›ํ•˜๋Š” ๋ชจ๋“  ์ปดํ“จํ„ฐ์™€ ์šด์˜ ์ฒด์ œ์—์„œ ์‹คํ–‰๋  ์ˆ˜ ์žˆ์œผ๋ฉฐ, CERNLIB์˜ MATHLIB ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ๊ฐ€ ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค. ์ด ํŒจํ‚ค์ง€๋Š” ๋ฉ”์ธ ํ”„๋กœ๊ทธ๋žจ(QCDMAPT F.f)๊ณผ ๋‘ ๊ฐœ์˜

HEP-PH HEP-TH Physics
Determination of a magnetization parameter of the parsec-scale AGN jets

Determination of a magnetization parameter of the parsec-scale AGN jets

: ์ด ๋…ผ๋ฌธ์€ ํ™œ์„ฑ ์€ํ•˜ ํ•ต(AGN) ์ œํŠธ์˜ ์ž๊ธฐํ™” ๋งค๊ฐœ๋ณ€์ˆ˜์™€ ๊ณฑ๋งค๊ฐœ๋ณ€์ˆ˜๋ฅผ ๊ฒฐ์ •ํ•˜๊ธฐ ์œ„ํ•œ ๋ฐฉ๋ฒ•์„ ์„ค๋ช…ํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด AGN ์ œํŠธ์˜ ๋ฌผ๋ฆฌ์  ํŠน์„ฑ์„ ์ดํ•ดํ•˜๋Š” ๋ฐ ์ค‘์š”ํ•œ ์ •๋ณด๋ฅผ ์ œ๊ณตํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” 20๊ฐœ ์ด์ƒ์˜ ์†Œ์Šค์—์„œ ์–ป์€ ๋ฐ์ดํ„ฐ๋ฅผ ๋ถ„์„ํ•˜์—ฌ ์ด๋Ÿฌํ•œ ๋งค๊ฐœ๋ณ€์ˆ˜๋“ค์„ ์ •ํ™•ํ•˜๊ฒŒ ์ถ”์ •ํ•จ์œผ๋กœ์จ, AGN ์ œํŠธ์˜ ์ž๊ธฐํ™” ์ƒํƒœ์™€ ์ž…์ž ๋ฐ€๋„์— ๋Œ€ํ•œ ๊นŠ์ด ์žˆ๋Š” ์ดํ•ด๋ฅผ ๊ฐ€๋Šฅ์ผ€ ํ•œ๋‹ค. ์„œ๋ก  ๋ฐ ๋ฐฐ๊ฒฝ ๋…ผ๋ฌธ์€ ๋งˆ๊ทธ๋„คํ† ํ•˜์ด๋“œ๋กœ๋‹ค์ด๋‚ด๋ฏน(MHD) ์ œํŠธ ๋ชจ๋ธ์—์„œ ์ค‘์š”ํ•œ ๋งค๊ฐœ๋ณ€์ˆ˜ ์ค‘ ํ•˜๋‚˜์ธ ๊ณฑ๋งค๊ฐœ๋ณ€์ˆ˜ ฮป n/nGJ๋ฅผ ์†Œ๊ฐœํ•œ๋‹ค. ์ด ๋งค๊ฐœ๋ณ€์ˆ˜๋Š” ์ „๊ธฐ ์žฅ์˜ ์ข…๋‹จ์  ์Šคํฌ๋ฆฌ๋‹์„

Astrophysics
Measuring the Earth-Sun distance during a lunar eclipse

Measuring the Earth-Sun distance during a lunar eclipse

๋ณธ ๋…ผ๋ฌธ์€ ๊ณ ๋Œ€ ์ฒœ๋ฌธํ•™์ž๋“ค์ด ์‚ฌ์šฉํ–ˆ๋˜ ์ง€๊ตฌ ํƒœ์–‘ ๊ฑฐ๋ฆฌ ์ธก์ •๋ฒ•์„ ํ˜„๋Œ€์ ์ธ ๊ด€์ ์—์„œ ์žฌํ•ด์„ํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ์ฒœ๋ฌธ ๋‹จ์œ„์˜ ์ •ํ™•ํ•œ ๊ฐ’์„ ์ถ”์ •ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•ฉ๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๋‹ฌ ์‹ ๋™์•ˆ ๋ฐœ์ƒํ•˜๋Š” ํ˜„์ƒ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๋ฉฐ, ํŠนํžˆ ์ง€๊ตฌ ๊ทธ๋ฆผ์ž์˜ ๋ชจ์–‘๊ณผ ํฌ๊ธฐ๋ฅผ ๋ถ„์„ํ•˜์—ฌ ์ง€๊ตฌ์™€ ํƒœ์–‘ ์‚ฌ์ด์˜ ๊ฑฐ๋ฆฌ๋ฅผ ์ธก์ •ํ•˜๋Š” ๋ฐ ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. 1. ๋ฐฉ๋ฒ•๋ก  ๋‹ฌ ์‹ ๋™์•ˆ ์ง€๊ตฌ๊ฐ€ ๋‹ฌ์„ ๊ฐ€๋ฆฌ๋Š” ํ˜„์ƒ์„ ๊ด€์ฐฐํ•จ์œผ๋กœ์จ, ์ง€๊ตฌ ๊ทธ๋ฆผ์ž์˜ ๋ชจ์–‘๊ณผ ํฌ๊ธฐ๋ฅผ ํŒŒ์•…ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ๋‹ฌ์˜ ๊ฐ๋„์™€ ์ง€๊ตฌ ๊ทธ๋ฆผ์ž ๋ฐ˜์ง€๋ฆ„ (RโŠ•,M)๋ฅผ ์ธก์ •ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. ์ €์ž๋Š” Hipparcos

Physics Astrophysics
The Unlucky Door

The Unlucky Door

๋ณธ ๋…ผ๋ฌธ์€ ๋ชฌํ‹ฐ ํ™€ ๋ฌธ์ œ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ๊ฒŒ์ž„ ์ด๋ก ์  ์ ‘๊ทผ๋ฒ•๊ณผ ๋‹ค์–‘ํ•œ ๋ณ€ํ˜•์— ๋Œ€ํ•ด ์‹ฌ๋„ ์žˆ๊ฒŒ ๋ถ„์„ํ•˜๊ณ  ์žˆ๋‹ค. ํŠนํžˆ, ์„ธ ๋ฌธ ๊ฒŒ์ž„์—์„œ ์ฝ˜์ด์™€ ๋ชฌํ…Œ์˜ ์ƒํ˜ธ์ž‘์šฉ์„ ์กฐํ•ฉ์ ์œผ๋กœ ๋ถ„์„ํ•˜๋ฉฐ, ๋„ค ๊ฐœ ์ด์ƒ์˜ ๋ฌธ์„ ํฌํ•จํ•œ ํ™•์žฅ๋œ ๋ฒ„์ „์—์„œ๋Š” ํ˜‘๋ ฅ์ ์ธ ์ „๋žต์„ ์ œ์‹œํ•œ๋‹ค. 1. ์„ธ ๋ฌธ ๊ฒŒ์ž„ ๋ถ„์„ ์„ธ ๋ฌธ ๊ฒŒ์ž„์€ ํ€ด์ฆˆ ํŒ€์ด ํ•œ ๋ฌธ ๋’ค์— ์ƒํ’ˆ์„ ์ˆจ๊ธฐ๊ณ , ์ฝ˜์ด๊ฐ€ ์ฒซ ๋ฒˆ์งธ ์„ ํƒ์œผ๋กœ ๋ฌธ ํ•˜๋‚˜๋ฅผ ๊ณ ๋ฅธ๋‹ค. ๋ชฌํ…Œ๋Š” ์ƒํ’ˆ์ด ์•„๋‹Œ ๋‹ค๋ฅธ ๋ฌธ์„ ๊ณต๊ฐœํ•˜๊ณ , ์ฝ˜์ด๋Š” ์ž์‹ ์˜ ์„ ํƒ์„ ์œ ์ง€ํ•˜๊ฑฐ๋‚˜ ๋ณ€๊ฒฝํ•  ์ˆ˜ ์žˆ๋‹ค. ์ด ๊ฒŒ์ž„์—์„œ ์ฝ˜์ด์˜ ์ „๋žต์€ ์ƒํ™ฉ์— ๋”ฐ๋ผ ๋‹ฌ๋ผ์ง€๋ฉฐ, ์˜ˆ๋ฅผ ๋“ค์–ด '1ss'์™€ ๊ฐ™

Game Theory Mathematics Computer Science
Automatic Multi-GPU Code Generation applied to Simulation of Electrical   Machines

Automatic Multi-GPU Code Generation applied to Simulation of Electrical Machines

: 1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  ๋ณธ ๋…ผ๋ฌธ์€ ๋ณ‘๋ ฌ ํ”„๋กœ๊ทธ๋ž˜๋ฐ์˜ ์–ด๋ ค์›€์„ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด, OpenCL ๊ธฐ๋ฐ˜์˜ ํ˜ผ์„ฑ ์•„ํ‚คํ…์ฒ˜(CPU + GPU)์šฉ ์ฝ”๋“œ ์ƒ์„ฑ ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์•ˆํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ, MDE์™€ MARTE ํ”„๋กœํŒŒ์ผ์„ ํ™œ์šฉํ•˜์—ฌ ๋ณ‘๋ ฌ ํ”„๋กœ๊ทธ๋ž˜๋ฐ์— ์ต์ˆ™ํ•˜์ง€ ์•Š์€ ์‚ฌ๋žŒ๋“ค๋„ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์„ ์‰ฝ๊ฒŒ ๊ตฌํ˜„ํ•  ์ˆ˜ ์žˆ๋„๋ก ์ง€์›ํ•˜๋Š” ๊ฒƒ์ด ์ฃผ์š” ๋ชฉํ‘œ์ž…๋‹ˆ๋‹ค. 2. ๊ธฐ์ˆ ์  ๋ฐฐ๊ฒฝ OpenCL : Khronos ๊ทธ๋ฃน์—์„œ ๊ฐœ๋ฐœํ•œ ๋ณ‘๋ ฌ ์ปดํ“จํŒ… ํ‘œ์ค€์œผ๋กœ, ๋‹ค์–‘ํ•œ ํ•˜๋“œ์›จ์–ด ์•„ํ‚คํ…์ฒ˜๋ฅผ ์ง€์›ํ•ฉ๋‹ˆ๋‹ค. MDE์™€ MARTE ํ”„๋กœํŒŒ์ผ : MDE๋Š” ํ”„๋กœ๊ทธ๋žจ ์‚ฌ์–‘์„ ์ถ”์ƒํ™”ํ•˜๊ณ  ์ž๋™ํ™”๋ฅผ ํ–ฅ์ƒ์‹œ

Distributed Computing Computer Science
Solution to Banff 2 Challenge Based on Likelihood Ratio Test

Solution to Banff 2 Challenge Based on Likelihood Ratio Test

: ๋ณธ ๋…ผ๋ฌธ์€ LHC์˜ ๋ฐœ๊ฒฌ ์ฃผ์žฅ๊ณผ ๊ด€๋ จ๋œ ํ†ต๊ณ„์  ๋ฌธ์ œ์— ๋Œ€ํ•œ ํ•ด๊ฒฐ์ฑ…์„ ์ œ์‹œํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ์–ป์–ด์ง„ ์„ฑ๋Šฅ์„ ๋ถ„์„ํ•ฉ๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” 2010๋…„ 7์›” ์บ๋‚˜๋‹ค ์•จ๋ฒ„ํƒ€์ฃผ ๋ฐดํ”„์—์„œ ์—ด๋ฆฐ ํšŒ์˜๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ํ•˜๋ฉฐ, ํ† ๋งˆ์Šค ์ฅฌํฌ๊ฐ€ ์ฃผ๋„ํ•œ ๊ฒฝ์Ÿ์—์„œ ๋‚˜์˜จ ๊ฒฐ๊ณผ๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ๋ฌธ์ œ ์ •์˜์™€ ํ•ด๊ฒฐ ๋ฐฉ์•ˆ ๋…ผ๋ฌธ์€ ๋‘ ๊ฐ€์ง€ ์ฃผ์š” ๋ฌธ์ œ๋ฅผ ๋‹ค๋ฃจ๋Š”๋ฐ, ์ฒซ ๋ฒˆ์งธ ๋ฌธ์ œ๋Š” '๋‹ค๋ฅธ ๊ณณ์—์„œ ์ฐพ๊ธฐ' ํšจ๊ณผ๋ฅผ ํ‰๊ฐ€ํ•˜๋Š” ๊ฒƒ์ด๋ฉฐ, ์ด๋Š” ์งˆ๋Ÿ‰ ์ŠคํŽ™ํŠธ๋Ÿผ์—์„œ ๊ฐ€๋Šฅํ•œ ์‹ ํ˜ธ๋ฅผ ๊ฒ€์ƒ‰ํ•˜๋Š” ๋ฌธ์ œ์ž…๋‹ˆ๋‹ค. ๋‘ ๋ฒˆ์งธ ๋ฌธ์ œ๋Š” ๋ฐฐ๊ฒฝ์ด๋‚˜ ์‹ ํ˜ธ์˜ ์•Œ๋ ค์ง„ ๋ถ„ํฌ๊ฐ€ ์—†์„ ๋•Œ ๋ชฌํ…Œ์นด๋ฅผ๋กœ ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์ถ”์ •ํ•ด์•ผ

Physics
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Misure quantitative del seeing atmosferico

์ด ๋…ผ๋ฌธ์€ ๋Œ€๊ธฐ๊ด‘ํ•™ ํ˜„์ƒ, ํŠนํžˆ Seeing๊ณผ ๊ด€๋ จ๋œ ์ด๋ฏธ์ง€ ์šด๋™ ๋ฐ ๋ธ”๋Ÿฌ๋ง์— ๋Œ€ํ•œ ์‹ฌ๋„ ์žˆ๋Š” ๋ถ„์„์„ ์ œ๊ณตํ•œ๋‹ค. ์ด๋Š” ์ฒœ๋ฌธ ๊ด€์ธก์—์„œ ์ค‘์š”ํ•œ ์š”์†Œ๋กœ, ๋ง์›๊ฒฝ์˜ ์„ฑ๋Šฅ๊ณผ ์ง์ ‘์ ์œผ๋กœ ์—ฐ๊ด€๋˜์–ด ์žˆ๋‹ค. 1. ๋Œ€๊ธฐ๊ด‘ํ•™ ํ˜„์ƒ ์ดํ•ด ๋Œ€๊ธฐ๊ด‘ํ•™์€ ๊ด‘์„ ์ด ์ง€๊ตฌ ๋Œ€๊ธฐ๋ฅผ ํ†ต๊ณผํ•˜๋ฉด์„œ ๋ฐœ์ƒํ•˜๋Š” ๋‹ค์–‘ํ•œ ํ˜„์ƒ์„ ๋‹ค๋ฃจ๋ฉฐ, ์ด ์ค‘ Seeing์€ ํŠนํžˆ ์ค‘์š”ํ•˜๋‹ค. Seeing์€ ๋Œ€๊ธฐ์˜ ํˆฌ๋ช…๋„์™€ ๊ด€๋ จ๋œ ๊ฐœ๋…์œผ๋กœ, ๋ง์›๊ฒฝ์„ ํ†ตํ•ด ๋ณผ ์ˆ˜ ์žˆ๋Š” ์ฒœ์ฒด ์ด๋ฏธ์ง€์˜ ์„ ๋ช…๋„๋ฅผ ๊ฒฐ์ •ํ•œ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” Seeing์ด ์–ด๋–ป๊ฒŒ ๋ฐœ์ƒํ•˜๊ณ , ์ด๋ฅผ ์ธก์ •ํ•˜๋Š” ๋ฐฉ๋ฒ•์— ๋Œ€ํ•ด ์„ค๋ช…ํ•œ๋‹ค. 2. Fried

Astrophysics Physics
Revealing Sub-Optimality Conditions of Strategic Decisions

Revealing Sub-Optimality Conditions of Strategic Decisions

๋ณธ ๋…ผ๋ฌธ์€ ์ „๋žต์  ์˜์‚ฌ๊ฒฐ์ • ๊ณผ์ •์—์„œ ๋ฐœ์ƒํ•˜๋Š” ํ•˜์œ„ ์ตœ์ ์„ฑ ์กฐ๊ฑด์„ ํƒ์ƒ‰ํ•˜๊ณ  ๋ถ„์„ํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ์ ํ•ฉ๋„ ํ’๊ฒฝ ์ด๋ก ์„ ๊ธฐ๋ฐ˜์œผ๋กœ, ์˜์‚ฌ๊ฒฐ์ •์ž๊ฐ€ ์™œ ์ง€์—ญ ์ตœ์ ๊ฐ’์— ๋„๋‹ฌํ•˜์ง€ ๋ชปํ•œ ์ฑ„ ํƒ์ƒ‰์„ ์ค‘๋‹จํ•˜๋Š”์ง€์— ๋Œ€ํ•œ ์ดํ•ด๋ฅผ ๋†’์ด๊ธฐ ์œ„ํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•œ๋‹ค. 1. ์ ํ•ฉ๋„ ํ’๊ฒฝ ์ด๋ก ์˜ ๋ฐฐ๊ฒฝ ์ ํ•ฉ๋„ ํ’๊ฒฝ ์ด๋ก ์€ ์ง„ํ™” ์ƒ๋ฌผํ•™์—์„œ ์œ ์ „์ž ๊ณต๊ฐ„์˜ ํƒ์ƒ‰ ๊ณผ์ •์„ ์„ค๋ช…ํ•˜๋Š” ๊ฐœ๋…์œผ๋กœ ์‚ฌ์šฉ๋˜์–ด ์™”๋‹ค (Wright, 1932; Gillespie, 1984). ์ด ์ด๋ก ์€ ์กฐ์ง ๋ณ€ํ™”, ์‚ฌํšŒ ๊ตฌ์กฐ์˜ ์ง„ํ™”, ํ˜์‹  ๋„คํŠธ์›Œํฌ ๋“ฑ ๋‹ค์–‘ํ•œ ๋ถ„์•ผ์—์„œ ํ™œ์šฉ๋˜๊ณ  ์žˆ๋‹ค. ํŠนํžˆ, NK

Statistics
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Variable stars magnitudes estimations exploiting the eye physiology

: ๋ณธ ๋…ผ๋ฌธ์€ ์ฒœ๋ฌธํ•™ ๋ถ„์•ผ์—์„œ ๋ˆˆ์˜ ์–ด๋‘์›€ ์ ์‘ ๊ณผ์ •์„ ํ™œ์šฉํ•˜์—ฌ ๋ณ„์˜ ๋ฐ๊ธฐ๋ฅผ ์ถ”์ •ํ•˜๋Š” ์ƒˆ๋กœ์šด ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ํŠนํžˆ ๋ง์›๊ฒฝ ํ•œ๊ณ„ ๋ฐ๊ธฐ์— ๊ฐ€๊นŒ์šด ์˜์—ญ์—์„œ ์œ ํšจํ•˜๋ฉฐ, ๋ณ€์„ฑ์„ฑ ๋ณ„์ด๋‚˜ ํŠน์ • ๋ฐ๊ธฐ ๋ฒ”์œ„์— ์žˆ๋Š” ๋ณ„๋“ค์— ์ ์šฉ ๊ฐ€๋Šฅํ•˜๋‹ค. 1. ์„œ๋ก : ๋ณ€์„ฑ์„ฑ ๋ณ„ ๊ด€์ธก ์ฒœ๋ฌธํ•™์ž์™€ ์ฒœ๋ฌธ๋Œ€๋Š” ๋ชจ๋“  ๋ณ€์„ฑ์„ฑ๊ณผ ์‹ ์„ฑ์˜ ๋น› ๊ณก์„ ์„ ์ถ”์ ํ•  ์‹œ๊ฐ„์ด ๋ถ€์กฑํ•˜๊ธฐ ๋•Œ๋ฌธ์—, ์ด๋Ÿฌํ•œ ์ž‘์—…์€ ์ฃผ๋กœ ์•„๋งˆ์ถ”์–ด ์ฒœ๋ฌธํ•™์ž๋“ค์— ์˜ํ•ด ์ˆ˜ํ–‰๋œ๋‹ค. ์ด๋“ค์€ ๊ตญ์ œ ๋ณ€์„ฑ์„ฑ ๊ด€์ธก์ž ํ˜‘ํšŒ(AAVSO)์— ์†Œ์†๋˜์–ด ์žˆ์œผ๋ฉฐ, ์ฃผ๋กœ ์œก์•ˆ ๊ด€์ธก์„ ์ด์šฉํ•œ๋‹ค. ์ด๋Š” CCD ์žฅ์น˜์˜ ์ƒ๋Œ€์ ์œผ๋กœ ๋†’์€ ๋น„์šฉ

Physics Astrophysics
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Visual Secret Sharing Scheme using Grayscale Images

: ๋ณธ ๋…ผ๋ฌธ์€ ํšŒ์ƒ‰์กฐ ์ด๋ฏธ์ง€์— ๋Œ€ํ•œ ์‹œ๊ฐ ๋น„๋ฐ€ ๋ถ„๋ฐฐ(VSS) ๋ฐฉ์‹์˜ ๊ฐœ์„ ์ ์„ ์ œ์‹œํ•˜๋ฉฐ, ํŠนํžˆ ํ”ฝ์…€ ํ™•์žฅ ๋ฌธ์ œ์™€ ์žฌ๊ตฌ์„ฑ๋œ ์ด๋ฏธ์ง€์˜ ํ’ˆ์งˆ ์ €ํ•˜๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•œ ์ƒˆ๋กœ์šด ์ ‘๊ทผ๋ฒ•์„ ์†Œ๊ฐœํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๊ธฐ์กด VSS ๋ฐฉ์‹์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์ฃผ์š” ๋ฌธ์ œ์ ๋“ค์„ ๊ทน๋ณตํ•˜๊ณ ์ž ํ•˜๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ๋ณด๋‹ค ์•ˆ์ •์ ์ด๊ณ  ํšจ๊ณผ์ ์ธ ๋น„๋ฐ€ ์ •๋ณด ๊ณต์œ  ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•œ๋‹ค. 1. ๋ฐฐ๊ฒฝ ๋ฐ ๋ฌธ์ œ ์ธ์‹ ๋น„๋ฐ€ ๋ถ„๋ฐฐ ๊ธฐ๋ฒ•์€ ๋‹ค์–‘ํ•œ ์‘์šฉ ๋ถ„์•ผ์—์„œ ํ™œ์šฉ๋˜๋ฉฐ, ํŠนํžˆ ์›Œํ„ฐ๋งˆํ‚น๊ณผ ๊ฐ™์€ ์ •๋ณด ์€๋‹‰ ๊ธฐ์ˆ ์— ๋„๋ฆฌ ์‚ฌ์šฉ๋œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด๋“ค ๋ฐฉ์‹ ์ค‘ ์ผ๋ถ€๋Š” ์žฌ๊ตฌ์„ฑ๋œ ์ด๋ฏธ์ง€์˜ ํ’ˆ์งˆ ์ €ํ•˜์™€ ํ”ฝ์…€ ํ™•์žฅ ๋ฌธ์ œ๋ฅผ ์•ผ

Computer Vision Computer Science Cryptography and Security
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Entropy of Telugu

์ด ๋…ผ๋ฌธ์€ ์ธ๋„์–ด ๋ฌธ์ž์™€ ๊ทธ์— ๋”ฐ๋ฅธ ์ฒ ์ž๋ฒ•์„ ๋ฐ”ํƒ•์œผ๋กœ ํ…”๋ฃจ๊ตฌ์–ด์˜ ์—”ํŠธ๋กœํ”ผ๋ฅผ ๋ถ„์„ํ•˜๋Š” ๋ฐ ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ๋‹ค. ๋จผ์ €, ์ธ๋„ ๋ฌธ์ž์˜ ๊ธฐ์›๊ณผ ๋ฐœ์ „ ๊ณผ์ •์„ ์‚ดํŽด๋ณด๋ฉด, ๋ธŒ๋ผ๋ฏธ ๋ฌธ์ž๋Š” 3์ฒœ๋…„ ์ „ ์ธ๋”์Šค ๋ฌธ์ž์—์„œ ์ง„ํ™”ํ•œ ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ ธ ์žˆ์œผ๋ฉฐ, ์ดํ›„ ๋‹ค์–‘ํ•œ ์ธ๋„ ํ˜„๋Œ€ ๋ฌธ์ž๋กœ ๋ถ„ํ™”๋˜์—ˆ๋‹ค. ์ด๋“ค ๋ฌธ์ž๋Š” ๊ตฌ์กฐ์ ์œผ๋กœ ๋ฐ€์ ‘ํ•˜๊ฒŒ ์—ฐ๊ด€๋˜์–ด ์žˆ์ง€๋งŒ, ๋ชจ์–‘์€ ๋‹ค์–‘ํ•˜๋‹ค. ์ธ๋„์–ด ์•ŒํŒŒ๋ฒณ์€ ์ž์Œ, ๋ชจ์Œ ๋ฐ ๊ธฐํƒ€ ๊ธฐํ˜ธ๋กœ ๊ตฌ์„ฑ๋˜๋ฉฐ, ํ•œ ์Œ์ ˆ(akshara)์€ 0๊ฐœ์—์„œ 3๊ฐœ์˜ ์ž์Œ๊ณผ ๋ชจ์Œ ๋˜๋Š” ๊ธฐํƒ€ ๊ธฐํ˜ธ๋กœ ์ด๋ฃจ์–ด์ง„๋‹ค. ๊ฐ akshara๋Š” ๋…๋ฆฝ์ ์œผ๋กœ ๋ฐœ์Œ๋  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ๋ชจ๋“ 

Computer Science NLP
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LISA (Localhost Information Service Agent)

LISA๋Š” MonALISA ํ”„๋กœ์ ํŠธ์—์„œ ๊ฐœ๋ฐœ๋œ ๋ชจ๋‹ˆํ„ฐ๋ง ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์œผ๋กœ์„œ, ๋‹ค์–‘ํ•œ ๋ถ„์‚ฐ ์‹œ์Šคํ…œ ํ™˜๊ฒฝ์—์„œ ๋กœ์ปฌ ์Šคํ…Œ์ด์…˜์˜ ์ƒํƒœ๋ฅผ ๋ชจ๋‹ˆํ„ฐ๋งํ•˜๊ณ  ์ด๋ฅผ ํ†ตํ•ด ๋‹ค๋ฅธ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์˜ ์„ฑ๋Šฅ ์ตœ์ ํ™”์— ๊ธฐ์—ฌํ•ฉ๋‹ˆ๋‹ค. ์ด ๋…ผ๋ฌธ์€ LISA์˜ ๊ตฌ์กฐ์™€ ์ฃผ์š” ํŠน์ง•์„ ์ƒ์„ธํžˆ ์„ค๋ช…ํ•˜๋ฉฐ, ํŠนํžˆ ๊ทธ ์œ ์—ฐ์„ฑ๊ณผ ํ™•์žฅ ๊ฐ€๋Šฅ์„ฑ, ๊ทธ๋ฆฌ๊ณ  ๋†’์€ ํ†ต์‹  ์„ฑ๋Šฅ์„ ๊ฐ•์กฐํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. 1. LISA ํ”„๋ ˆ์ž„์›Œํฌ LISA๋Š” ์šด์˜ ์ฒด์ œ ํ”Œ๋žซํผ์— ๋…๋ฆฝ์ ์œผ๋กœ ์ž‘๋™ํ•˜๋„๋ก ์„ค๊ณ„๋˜์–ด ์žˆ์œผ๋ฉฐ, Java์™€ C ์–ธ์–ด๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ฐœ๋ฐœ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด Linux, Windows ๋ฐ MacOS์—์„œ ์‹คํ–‰ ๊ฐ€

Distributed Computing Computer Science
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Pose Estimation from a Single Depth Image for Arbitrary Kinematic Skeletons

๋ณธ ๋…ผ๋ฌธ์€ ๊นŠ์ด ์ด๋ฏธ์ง€๋กœ๋ถ€ํ„ฐ ์ž„์˜์˜ ๊ด€์ ˆ ๊ตฌ์กฐ๋ฅผ ๊ฐ€์ง„ ๋ฌผ์ฒด์˜ 3D ์ž์„ธ๋ฅผ ์ถ”์ •ํ•˜๋Š” ๋ฌธ์ œ์— ๋Œ€ํ•ด ์ง„ํ™” ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ํ™œ์šฉํ•œ ์ƒˆ๋กœ์šด ์ ‘๊ทผ๋ฒ•์„ ์ œ์‹œํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๊ธฐ์กด์˜ ๋ฐฉ๋ฒ•๋“ค์ด ์‚ฌ์ „ ํ›ˆ๋ จ์ด๋‚˜ ๋„๋ฉ”์ธ ํŠน์ • ์ง€์‹์— ํฌ๊ฒŒ ์˜์กดํ•˜๊ณ , ์ด๋ฅผ ์ผ๋ฐ˜ํ™”ํ•˜๊ธฐ ์œ„ํ•œ ์ถ”๊ฐ€์ ์ธ ๋…ธ๋ ฅ์ด ํ•„์š”ํ•˜๋‹ค๋Š” ํ•œ๊ณ„์ ์„ ๊ทน๋ณตํ•˜๋ ค๊ณ  ์‹œ๋„ํ•œ๋‹ค. 1. ๋ฌธ์ œ ์ •์˜์™€ ์ ‘๊ทผ ๋ฐฉ์‹ ์ž์„ธ ์ถ”์ •์€ ๋ฌผ์ฒด์˜ ๊ด€์ ˆ ๊ตฌ์กฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ๊นŠ์ด ์ด๋ฏธ์ง€์—์„œ ๋ฌผ์ฒด์˜ ์œ„์น˜์™€ ์ž์„ธ๋ฅผ ๊ฒฐ์ •ํ•˜๋Š” ๊ณผ์ •์ด๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ด ๋ฌธ์ œ๋ฅผ ๋ชจ๋ธ ๊ธฐ๋ฐ˜ ์ถ”์ • ๋ฌธ์ œ๋กœ ์ •์˜ํ•˜๊ณ , ์ง„ํ™” ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ํ™œ์šฉํ•˜์—ฌ ์ตœ์ ์˜ ์ž์„ธ ๋งค๊ฐœ๋ณ€์ˆ˜๋ฅผ ์ฐพ

Computer Vision Computer Science Artificial Intelligence Machine Learning
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Stone structures in the Syrian Desert

: ์ด ์—ฐ๊ตฌ๋Š” ์‹œ๋ฆฌ์•„ ์‚ฌ๋ง‰์—์„œ ๋ฐœ๊ฒฌ๋œ ๋‚ ๊ฐœ ๋‹ฌ๋ฆฐ ๊ทธ๋ฌผ(kite)๊ณผ ๊ด€๋ จ๋œ ์„์กฐ ๊ตฌ์กฐ๋ฌผ์„ ์ค‘์‹ฌ์œผ๋กœ ๊ณ ๋Œ€ ์ธ๊ฐ„์˜ ์ƒํ™œ ๋ฐฉ์‹์— ๋Œ€ํ•œ ํ†ต์ฐฐ๋ ฅ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ์ด๋“ค ๊ตฌ์กฐ๋ฌผ์€ ๋‹จ์ˆœํžˆ ๋™๋ฌผ์„ ํฌํšํ•˜๊ณ  ์‚ดํ•ดํ•˜๋Š” ๋ฐ๋งŒ ์‚ฌ์šฉ๋˜์ง€ ์•Š๊ณ , ์‹๋Ÿ‰ ๋ณด์กด ๋ฐ ์‚ฌ๋ƒฅ๊ฐ ์œ ์ง€์—๋„ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ฐœ๊ฒฌ์€ ๊ณ ๋Œ€ ์ธ๋ฅ˜๊ฐ€ ์–ด๋–ป๊ฒŒ ์ž์›์„ ๊ด€๋ฆฌํ•˜๊ณ  ์ƒ์กด์— ํ•„์š”ํ•œ ๊ธฐ์ˆ ์„ ๋ฐœ์ „์‹œ์ผฐ๋Š”์ง€๋ฅผ ์ดํ•ดํ•˜๋Š” ๋ฐ ์ค‘์š”ํ•œ ๋‹จ์„œ๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ๋‚ ๊ฐœ ๋‹ฌ๋ฆฐ ๊ทธ๋ฌผ์˜ ์กด์žฌ๋Š” ๋ฐฉ์‚ฌ์„ฑ ํƒ„์†Œ ๋ถ„์„์„ ํ†ตํ•ด ํ™•์ธ๋˜์—ˆ์œผ๋ฉฐ, ๊ฐ€์žฅ ์˜ค๋ž˜๋œ ๊ตฌ์กฐ๋ฌผ์€ ์•ฝ 9์ฒœ ๋…„ ์ „๋ถ€ํ„ฐ 11์ฒœ ๋…„ ์ „๊นŒ์ง€ ๊ฑฐ์Šฌ๋Ÿฌ ์˜ฌ๋ผ๊ฐ‘๋‹ˆ๋‹ค

Physics
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Competition between hydrogen bonding and electric field in single-file transport of water in carbon nanotubes

๋ณธ ์—ฐ๊ตฌ๋Š” ๋‹จ์ผ ๋ฒฝ ํƒ„์†Œ ๋‚˜๋…ธ ํŠœ๋ธŒ(SWCNTs) ๋‚ด๋ถ€๋ฅผ ํ†ต๊ณผํ•˜๋Š” ๋ฌผ์˜ ์ด๋™์„ MD ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ์กฐ์‚ฌํ•˜๊ณ , ํŠนํžˆ ์ „๊ธฐ์žฅ์ด ์ˆ˜์ง์œผ๋กœ ์ ์šฉ๋˜์—ˆ์„ ๋•Œ์˜ ํšจ๊ณผ์— ์ฃผ๋ชฉํ•ฉ๋‹ˆ๋‹ค. SWCNTs๋Š” ๊ฐ•ํ•œ ์นœ์ˆ˜์„ฑ์„ ๊ฐ€์ง€๊ณ  ์žˆ์œผ๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ๋ฌผ ๋ถ„์ž๊ฐ€ ์ž๋ฐœ์ ์œผ๋กœ ์ฑ„์›Œ์ง€๋Š” ๋…ํŠนํ•œ ํŠน์„ฑ์„ ๋ณด์ž…๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ๋Š” ์ด๋Ÿฌํ•œ ์‹œ์Šคํ…œ ๋‚ด์—์„œ ๋ฌผ ๋ถ„์ž์˜ ์ด๋™ ๋ฐฉ์‹์ด ํƒ„์†Œ ๋‚˜๋…ธ ํŠœ๋ธŒ์˜ ์ง€๋ฆ„์— ๋”ฐ๋ผ ์–ด๋–ป๊ฒŒ ๋ณ€ํ™”ํ•˜๋Š”์ง€์— ๋Œ€ํ•œ ์ดํ•ด๋ฅผ ํ™•์žฅํ•˜๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค. 1. ๋ฌผ ๋ถ„์ž์˜ ๋ฐฐ์—ด๊ณผ ์ˆ˜์†Œ ๊ฒฐํ•ฉ ๋„คํŠธ์›Œํฌ ํƒ„์†Œ ๋‚˜๋…ธ ํŠœ๋ธŒ ๋‚ด๋ถ€์—์„œ๋Š” ๋ฌผ ๋ถ„์ž๊ฐ€ 1์ฐจ์› ์ˆœ์„œ๋กœ ๋ฐฐ์—ด๋˜์–ด ์ด๋™ํ•˜๋ฉฐ,

Condensed Matter Physics
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A Novel Attack against Android Phones

๋ณธ ๋…ผ๋ฌธ์€ ์•ˆ๋“œ๋กœ์ด๋“œ ์Šค๋งˆํŠธํฐ์˜ ๋ณด์•ˆ ์ทจ์•ฝ์ ์„ ์ง‘์ค‘์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ณ , ์ด๋ฅผ ์•…์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ๊ณต๊ฒฉ ๊ธฐ๋ฒ•์„ ์ œ์‹œํ•ฉ๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” 2011๋…„ 1๋ถ„๊ธฐ์— ๊ฐ€์žฅ ๋งŽ์ด ํŒ๋งค๋œ ์šด์˜์ฒด์ œ์ธ ์•ˆ๋“œ๋กœ์ด๋“œ๋ฅผ ๋Œ€์ƒ์œผ๋กœ ํ•˜๋ฉฐ, ํŠนํžˆ ์Šค๋งˆํŠธํฐ ์‚ฌ์šฉ์ž๋“ค์ด ์ง๋ฉดํ•˜๊ฒŒ ๋  ์ž ์žฌ์ ์ธ ์œ„ํ˜‘์— ๋Œ€ํ•ด ๊ฒฝ๊ฐ์‹ฌ์„ ๋ถˆ๋Ÿฌ์ผ์œผํ‚ค๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ทจ์•ฝ์ ์˜ ์‹ฌ๊ฐ์„ฑ ๋ณธ ๋…ผ๋ฌธ์—์„œ ์ œ์‹œ๋œ ๊ณต๊ฒฉ ๊ธฐ๋ฒ•์€ ๋งค์šฐ ์น˜๋ช…์ ์ž…๋‹ˆ๋‹ค. ์ด๋Š” ๋‹จ์ˆœํžˆ ์•…์„ฑ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์„ ์„ค์น˜ํ•˜๋Š” ๋ฐ ๊ทธ์น˜์ง€ ์•Š๊ณ , ์‚ฌ์šฉ์ž์˜ ์ธ์‹ ์—†์ด ์ด๋ฃจ์–ด์ง‘๋‹ˆ๋‹ค. ์ฆ‰, ์‚ฌ์šฉ์ž๊ฐ€ ์–ด๋– ํ•œ ๊ถŒํ•œ๋„ ๋ถ€์—ฌํ•˜์ง€ ์•Š์•„๋„ ์•…์„ฑ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์ด ์ž๋™์œผ๋กœ ์„ค

Computer Science Cryptography and Security
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Faire levier sur les architectures logicielles pour guider et verifier le developpement dapplications SCC

์ด ๋…ผ๋ฌธ์€ SCC ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜ ๊ฐœ๋ฐœ์— ์žˆ์–ด ์†Œํ”„ํŠธ์›จ์–ด ์•„ํ‚คํ…์ฒ˜์˜ ์ค‘์š”์„ฑ๊ณผ ์ƒํ˜ธ์ž‘์šฉ ๊ณ„์•ฝ์ด๋ผ๋Š” ์ƒˆ๋กœ์šด ๊ฐœ๋…์„ ์ œ์‹œํ•˜๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ์•„ํ‚คํ…์ฒ˜์™€ ๊ตฌํ˜„ ๊ฐ„์˜ ์ผ๊ด€์„ฑ์„ ๋ณด์žฅํ•˜๊ณ  ๊ฒ€์ฆ ๊ณผ์ •์„ ๊ฐ•ํ™”ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ํƒ๊ตฌํ•œ๋‹ค. SCC ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์€ ์™ธ๋ถ€ ํ™˜๊ฒฝ๊ณผ ์ƒํ˜ธ์ž‘์šฉํ•˜๋Š” ์‹œ์Šคํ…œ์œผ๋กœ, ํ™ˆ ์˜คํ† ๋ฉ”์ด์…˜, ๋กœ๋ด‡ ๊ณตํ•™, ์ž์œจ ์‹œ์Šคํ…œ ๋“ฑ ๋‹ค์–‘ํ•œ ๋ถ„์•ผ์—์„œ ํ™œ์šฉ๋œ๋‹ค. 1. ์•„ํ‚คํ…์ฒ˜์™€ ๊ตฌํ˜„์˜ ์—ฐ๊ฒฐ SCC ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์€ ์ •๋ณด ์ˆ˜์ง‘, ์ƒํ™ฉ ์ธ์‹, ์ œ์–ด, ํ–‰๋™์ด๋ผ๋Š” ๋„ค ๊ฐ€์ง€ ์š”์†Œ๋กœ ๊ตฌ์„ฑ๋˜๋ฉฐ, ๊ฐ ์š”์†Œ๋Š” ๊ณ„์ธต์ ์œผ๋กœ ์ƒํ˜ธ์ž‘์šฉํ•œ๋‹ค. ์ด ๋…ผ๋ฌธ์—์„œ๋Š” ์ด๋Ÿฌํ•œ ๊ณ ์ˆ˜์ค€ ์ถ”์ƒํ™”๋ฅผ ๊ตฌํ˜„์œผ

Computer Science Programming Languages
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An introduction to ML(n)BiCGStab

1. ์„œ๋ก  ๋ฐ ๋ฐฐ๊ฒฝ ML(n)BiCGStab๋Š” BiCGStab ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ์ž์—ฐ์Šค๋Ÿฌ์šด ์ผ๋ฐ˜ํ™”๋กœ, Yeung๊ณผ Chan์— ์˜ํ•ด 1999๋…„ ์†Œ๊ฐœ๋˜์—ˆ๋‹ค. ์ด ์•Œ๊ณ ๋ฆฌ์ฆ˜์€ ์—ฌ๋Ÿฌ ์‹œ์ž‘ ๋žœํฌ๋กœ์Šค ๊ณผ์ •์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๋ฉฐ, van der Vorst์˜ BiCGStab์—์„œ ํŒŒ์ƒ๋˜์—ˆ์ง€๋งŒ ๋” ์•ˆ์ •์ ์ด๊ณ  ํšจ์œจ์ ์ธ ์„ฑ๋Šฅ์„ ์ œ๊ณตํ•œ๋‹ค. Sonneveld์™€ van der Vorst๊ฐ€ CGS์™€ BiCGStab๋ฅผ ๊ตฌ์„ฑํ•˜๋Š” ๋ฐ ์‚ฌ์šฉํ•œ ๊ธฐ๋ฒ•์ด ML(n)BiCGStab์—๋„ ์ ์šฉ๋˜์—ˆ๋‹ค. 2. ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ์œ ๋„ ๋ฐ ๊ตฌ์กฐ ML(n)BiCGStab๋Š” ์—ฌ๋Ÿฌ ์‹œ์ž‘ ๋ฒกํ„ฐ๋ฅผ ์ด์šฉํ•˜์—ฌ Kryl

Computer Science Mathematics Numerical Analysis
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Cryptographic Hardening of d-Sequences

๋ณธ ๋…ผ๋ฌธ์€ d ์‹œํ€€์Šค๋ฅผ ์ด์šฉํ•˜์—ฌ ๋žœ๋ค ์ˆซ์ž ์ƒ์„ฑ๊ธฐ(RNG)์˜ ๋ฌด์ž‘์œ„์„ฑ์„ ๊ฐ•ํ™”ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์•ˆํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” RNG์˜ ์ถœ๋ ฅ์— ๋‹ค๋Œ€์ผ ๋งคํ•‘์„ ์ ์šฉํ•จ์œผ๋กœ์จ ์—ญ ๊ณผ์ •์˜ ๋ณต์žก์„ฑ์„ ์ฆ๊ฐ€์‹œํ‚ค๊ณ , ์ด๋ฅผ ํ†ตํ•ด ์‹œํ€€์Šค์˜ ๋ฌด์ž‘์œ„์„ฑ์„ ํ–ฅ์ƒ์‹œํ‚ค๋Š” ์•„์ด๋””์–ด๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ์ง„ํ–‰๋˜์—ˆ์Šต๋‹ˆ๋‹ค. 1. ๋ฌด์ž‘์œ„์„ฑ ์ธก์ • ๊ธฐ์ค€ ๋ฌด์ž‘์œ„์„ฑ์€ ํ™•๋ฅ ์  ๊ด€์ ๊ณผ ๋ณต์žก์„ฑ ๊ด€์ ์—์„œ ์ธก์ •๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ž์ƒ๊ด€ ํ•จ์ˆ˜๋ฅผ ์ฃผ์š”ํ•œ ๋ฌด์ž‘์œ„์„ฑ ์ธก์ • ๊ธฐ์ค€์œผ๋กœ ์‚ฌ์šฉํ•˜์˜€์Šต๋‹ˆ๋‹ค. ์ด๋Š” ์‹œํ€€์Šค์˜ ์ž๊ธฐ ์œ ์‚ฌ์„ฑ์„ ๋‚˜ํƒ€๋‚ด๋ฉฐ, ์ข‹์€ ๋ฌด์ž‘์œ„ ์‹œํ€€์Šค๋Š” ๋Œ€๋žต ์ด์ง„ ๊ฐ’์„ ๊ฐ€์ง€๋Š” ์ž์ƒ๊ด€ ํ•จ์ˆ˜๋ฅผ ๊ฐ€์ง‘๋‹ˆ

Computer Science Cryptography and Security

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