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The Coron System

The Coron System

: 1. ์‹œ์Šคํ…œ ๊ฐœ์š” ์ฝ”๋กœ๋‚˜(Coron) ์‹œ์Šคํ…œ์€ ํŠน์ • ์—ฐ๊ตฌ ํ•„์š”์„ฑ์— ๋งž์ถฐ ๊ฐœ๋ฐœ๋˜์—ˆ์œผ๋ฉฐ, ํ˜„์žฌ๋Š” ์—ฌ๋Ÿฌ ์‘์šฉ ๋ถ„์•ผ์—์„œ ์‚ฌ์šฉ๋˜๋Š” ๋…๋ฆฝ์ ์ธ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ๊ธฐ๋ฐ˜ ์ง€์‹ ๋ฐœ๊ฒฌ ํ”„๋ ˆ์ž„์›Œํฌ๊ฐ€ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์ฝ”๋กœ๋‚˜๋Š” ๊ต์œก ๋ฐ ๊ณผํ•™์  ์šฉ๋„๋ฅผ ์œ„ํ•ด ์ค€๋น„ ๋ฐ ๋งˆ์ด๋‹ ๋ชจ๋“ˆ๋กœ ๊ตฌ์„ฑ๋˜์–ด ์ด์ง„ ๋ฐ์ดํ„ฐ๋ฅผ ์ฒ˜๋ฆฌํ•˜๊ณ  ํ•„ํ„ฐ๋งํ•˜๋ฉฐ ์ถ”์ถœ๋œ ๋‹จ์œ„๋ฅผ ํ•ด์„ํ•ฉ๋‹ˆ๋‹ค. ์ฝ”๋กœ๋‚˜ ์‹œ์Šคํ…œ์€ ๋‹ค์–‘ํ•œ ๊ณ ์ „ ์•Œ๊ณ ๋ฆฌ์ฆ˜๋ฟ๋งŒ ์•„๋‹ˆ๋ผ, ์ž์ฒด์ ์œผ๋กœ ๊ฐœ๋ฐœ๋œ ํŠนํ™”๋œ ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ํฌํ•จํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ฃผ์š” ์–ธ์–ด๋Š” ์ž๋ฐ”์ด๋ฉฐ, Unix, Mac, Windows ์šด์˜ ์ฒด์ œ์™€ ํ˜ธํ™˜๋˜๋ฉฐ ๋ช…๋ น์ค„ ์ธํ„ฐํŽ˜์ด์Šค๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. 2

Databases Computer Science System
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Parameterized Eulerian Strong Component Arc Deletion Problem on Tournaments

: ์ด ๋…ผ๋ฌธ์€ ๊ทธ๋ž˜ํ”„ ์ด๋ก ์—์„œ ์ค‘์š”ํ•œ ๊ฐœ๋…์ธ ๊ฐ•ํ•˜๊ฒŒ ์—ฐ๊ฒฐ๋œ ๊ทธ๋ž˜ํ”„์™€ ์—์šธ๋Ÿฌ ๊ทธ๋ž˜ํ”„๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ, ํ† ๋„ˆ๋จผํŠธ ๊ทธ๋ž˜ํ”„์—์„œ์˜ Min DESC ๋ฌธ์ œ์— ๋Œ€ํ•ด ๊นŠ๊ฒŒ ๋ถ„์„ํ•œ๋‹ค. Min DESC ๋ฌธ์ œ๋Š” ์ฃผ์–ด์ง„ ์œ ํ–ฅ ๊ทธ๋ž˜ํ”„ D ์—์„œ ์ตœ์†Œ ๊ฐ„์„  ์ง‘ํ•ฉ์„ ์ œ๊ฑฐํ•˜์—ฌ ๋ชจ๋“  ๊ฐ•ํ•œ ์„ฑ๋ถ„์ด ์—์šธ๋Ÿฌ ๊ทธ๋ž˜ํ”„๊ฐ€ ๋˜๋„๋ก ํ•˜๋Š” ๋ฌธ์ œ์ด๋‹ค. 1. ๊ฐœ๋… ์ •์˜์™€ ๋ฐฐ๊ฒฝ ๋…ผ๋ฌธ์€ ๋จผ์ € ๊ฐ•ํ•˜๊ฒŒ ์—ฐ๊ฒฐ๋œ ๊ทธ๋ž˜ํ”„์™€ ์—์šธ๋Ÿฌ ๊ทธ๋ž˜ํ”„์— ๋Œ€ํ•œ ๊ธฐ๋ณธ์ ์ธ ์ •์˜๋ฅผ ์†Œ๊ฐœํ•œ๋‹ค. ํŠนํžˆ, ๊ฐ•ํ•œ ์„ฑ๋ถ„๊ณผ DESC ์„ธํŠธ์˜ ์ •์˜๋ฅผ ํ†ตํ•ด Min DESC ๋ฌธ์ œ๋ฅผ ๋ช…ํ™•ํžˆ ํ•œ๋‹ค. ์ด๋Š” D ์—์„œ ๊ฐ„์„  ์ง‘ํ•ฉ์„ ์ œ๊ฑฐํ•˜์—ฌ ๋ชจ๋“  ๊ฐ•ํ•œ

Computer Science Data Structures Computational Complexity
A self-portrait of young Leonardo

A self-portrait of young Leonardo

: ๋ณธ ๋…ผ๋ฌธ์€ ๋ ˆ์˜ค๋‚˜๋ฅด๋„ ๋‹ค๋นˆ์น˜์˜ ์ž‘ํ’ˆ ์ค‘ ํ•˜๋‚˜์ธ ์ ์ƒ‰ ์—ฐํ•„ ์žํ™”์ƒ ์™ธ์—๋„, ๊ทธ์˜ ๋…ธํŠธ๋ถ์— ์ˆจ๊ฒจ์ง„ ๋‹ค๋ฅธ ์žํ™”์ƒ์„ ์ฐพ์•„๋‚ด๋Š” ๊ณผ์ •์„ ์†Œ๊ฐœํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ, ์ด ์—ฐ๊ตฌ์—์„œ๋Š” ์ด๋ฏธ์ง€ ์ฒ˜๋ฆฌ ๊ธฐ์ˆ ์„ ํ™œ์šฉํ•˜์—ฌ ํ•„๊ธฐ๋ฌผ๋กœ ๊ฐ€๋ ค์ ธ ์žˆ๋˜ ์Šค์ผ€์น˜๋ฅผ ๋ณต์›ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•ฉ๋‹ˆ๋‹ค. ๋ ˆ์˜ค๋‚˜๋ฅด๋„ ๋‹ค๋นˆ์น˜์˜ ์ž‘ํ’ˆ์€ ๊ทธ์˜ ์ฒœ์žฌ์„ฑ๊ณผ ์˜ˆ์ˆ ์  ๋Šฅ๋ ฅ์„ ๋ณด์—ฌ์ฃผ๋Š” ์ค‘์š”ํ•œ ์ž๋ฃŒ์ž…๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ผ๋ถ€ ์ž‘ํ’ˆ๋“ค์€ ์‹œ๊ฐ„์ด ์ง€๋‚จ์— ๋”ฐ๋ผ ์†์ƒ๋˜๊ฑฐ๋‚˜, ํ•„๊ธฐ๋ฌผ๋กœ ์ธํ•ด ์›๋ž˜์˜ ์ด๋ฏธ์ง€๊ฐ€ ๊ฐ€๋ ค์ ธ ์žˆ๋Š” ๊ฒฝ์šฐ๊ฐ€ ๋งŽ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋””์ง€ํ„ธ ๋ณต์› ๊ธฐ์ˆ ์„ ํ™œ์šฉํ•˜์—ฌ ์ˆจ๊ฒจ์ง„ ์ž

Computer Science Computer Vision
New Electrodynamics of Pulsars

New Electrodynamics of Pulsars

: ์„œ๋ก : ์ด ๋…ผ๋ฌธ์€ ํŽ„์‚ฌ์— ๋Œ€ํ•œ ์ „์ž๊ธฐํ•™์  ์ดํ•ด๋ฅผ ์‹ฌํ™”์‹œํ‚ค๋Š” ๋ฐ ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ๋‹ค. ํŠนํžˆ, Gruzinov (2011a)์˜ ์—ฐ๊ตฌ์—์„œ SFE๊ฐ€ ํŠน์ด ํ˜„์žฌ์ธต์—์„œ ํฌํŒ… ํ”Œ๋Ÿญ์Šค ๊ฐ์‡ ๋ฅผ ์˜ˆ์ธกํ•˜๋Š” ๋Šฅ๋ ฅ์„ ๊ฐ•์กฐํ•œ๋‹ค. ์ด ๊ฒฐ๊ณผ๋Š” ํŽ„์‚ฌ ํ˜„์ƒ์„ ํ•ด์„ํ•˜๋Š” ๋ฐ ์ค‘์š”ํ•œ ์˜๋ฏธ๋ฅผ ๊ฐ–๋Š”๋ฐ, ํŠน์ด ํ˜„์žฌ์ธต์€ ํŽ„์‚ฌ์˜ ๊ฐ€์žฅ ๊ฐ•๋ ฅํ•œ ๋ฐฉ์ถœ ์ง€์ ์œผ๋กœ ๊ฐ„์ฃผ๋˜๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค(Bai & Spitkovsky, 2010). ๊ทธ๋Ÿฌ๋‚˜ ์ผ๋ถ€ ์ „๋ฌธ๊ฐ€๋“ค์€ FFE๊ฐ€ ์—ฌ์ „ํžˆ ์œ ํšจํ•˜๋ฉฐ ๊ฐ์‡ ๋Š” ๋ฌด์‹œํ•  ์ˆ˜ ์žˆ์„ ๋งŒํผ ์ž‘๋‹ค๊ณ  ์ฃผ์žฅํ•œ๋‹ค. ์ด ๋…ผ์Ÿ์„ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์›ํ†ตํ˜• ์ฃผ๊ธฐ์  ํŽ„์‚ฌ์˜ FF

Astrophysics
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Transition Radiation by Standard Model Neutrinos at an Interface

1. ์ด๋ก ์  ๋ฐฐ๊ฒฝ ๋ฐ ์—ฐ๊ตฌ ๋ชฉ์  ์ค‘์„ฑ๋ฏธ์ž๋Š” ๋ฌผ๋ฆฌํ•™์—์„œ ๊ฐ€์žฅ ๋ฏธ๋ฌ˜ํ•œ ์ž…์ž ์ค‘ ํ•˜๋‚˜๋กœ, ํ‘œ์ค€ ๋ชจ๋ธ์— ๋”ฐ๋ฅด๋ฉด ๋งค์šฐ ์ž‘์€ ์งˆ๋Ÿ‰์„ ๊ฐ€์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ํŠน์„ฑ์ด ์žˆ๊ธฐ ๋•Œ๋ฌธ์—, ์ค‘์„ฑ๋ฏธ์ž์˜ ์ƒํ˜ธ์ž‘์šฉ์€ ์–‘์ž์žฅ ์ด๋ก ์„ ํ†ตํ•ด ์„ค๋ช…๋˜์–ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ค‘์„ฑ๋ฏธ์ž๊ฐ€ ๋‘ ๊ฐ€์ง€ ๋‹ค๋ฅธ ๊ตด์ ˆ๋ฅ ์„ ๊ฐ€์ง„ ๋งค์งˆ์˜ ๊ฒฝ๊ณ„๋ฅผ ํ†ต๊ณผํ•  ๋•Œ ๋ฐœ์ƒํ•˜๋Š” ์ „์ด๋ณต์‚ฌ๋ฅผ ํƒ๊ตฌํ•ฉ๋‹ˆ๋‹ค. ์ „์ด๋ณต์‚ฌ๋Š” ์ž…์‚ฌ ์ค‘์„ฑ๋ฏธ์ž๊ฐ€ ์ถœ์‚ฌ ์ค‘์„ฑ๋ฏธ์ž์™€ ๊ด‘์ž๋ฅผ ๋ฐฉ์ถœํ•˜๋ฉด์„œ ๋ฐœ์ƒํ•˜๋Š” ํ˜„์ƒ์ž…๋‹ˆ๋‹ค. ์ด ๊ณผ์ •์€ ์ค‘์„ฑ๋ฏธ์ž์˜ ์šด๋™๋Ÿ‰ ๋ณด์กด์„ ์œ„๋ฐ˜ํ•˜๋ฉฐ, ๋งค์งˆ์˜ ํŠน์„ฑ์ด ์ด๋Ÿฌํ•œ ์ƒํ˜ธ์ž‘์šฉ์— ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•ฉ๋‹ˆ๋‹ค. 2. ์—ฐ๊ตฌ ๋ฐฉ

Model HEP-PH Astrophysics
Subphotospheric heating in GRBs: analysis and modeling of GRB090902B as   observed by Fermi

Subphotospheric heating in GRBs: analysis and modeling of GRB090902B as observed by Fermi

: ์„œ๋ก  ๋ฐ ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๊ฐ๋งˆ์„  ํญ๋ฐœ(GRB)์€ ์šฐ์ฃผ์—์„œ ๊ฐ€์žฅ ๊ฐ•๋ ฅํ•œ ๋ฐฉ์ถœ ํ˜„์ƒ ์ค‘ ํ•˜๋‚˜๋กœ, ๊ทธ ๋ฐœ์ƒ ๋ฉ”์ปค๋‹ˆ์ฆ˜์— ๋Œ€ํ•œ ์ดํ•ด๋Š” ์—ฌ์ „ํžˆ ๋ฏธ์™„์„ฑ ์ƒํƒœ์ž…๋‹ˆ๋‹ค. ๋ถˆ๋ณผ ๋ชจ๋ธ์€ GRB์˜ ๊ธ‰์„ฑ ๋ฐฉ์ถœ์„ ์„ค๋ช…ํ•˜๋Š” ์ฃผ์š” ์ด๋ก ์œผ๋กœ, ์ƒ๋Œ€์ ์œผ๋กœ ๋น ๋ฅด๊ฒŒ ํŒฝ์ฐฝํ•˜๋Š” ๋ถˆ๋ณผ์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๊ฐ€์—ด์ด ๋ฐฉ์ถœ์„ ์ผ์œผํ‚จ๋‹ค๋Š” ๊ฐœ๋…์„ ์ œ์‹œํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋Œ€๋ถ€๋ถ„์˜ GRB ์ŠคํŽ™ํŠธ๋Ÿผ์€ ํ‘์ฒด ๋ณต์‚ฌ ํŠน์„ฑ์„ ๋ช…ํ™•ํžˆ ๋‚˜ํƒ€๋‚ด์ง€ ์•Š์œผ๋ฉฐ, ์ด๋Š” ๋น„์—ด์  ์„ฑ๋ถ„๊ณผ ํ•จ๊ป˜ ์„œ๋ธŒ๋„๋ฏธ๋‚œํŠธ ์—ด ์„ฑ๋ถ„์˜ ์กด์žฌ๋ฅผ ์‹œ์‚ฌํ•ฉ๋‹ˆ๋‹ค. ๋น„์—ด์  ์„ฑ๋ถ„ ๋ฐ ๊ฐ€์—ด ๋ฉ”์ปค๋‹ˆ์ฆ˜ GRB ์ œํŠธ ๋‚ด์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๊ฐ€์—ด์€ ๊ณ ์—๋„ˆ์ง€ ๊ผฌ๋ฆฌ ๋ถ€๋ถ„์„ ํฌํ•จํ•œ

Analysis Model Astrophysics
Environment and properties of emitting electrons in blazar jets: Mrk 421   as a laboratory

Environment and properties of emitting electrons in blazar jets: Mrk 421 as a laboratory

๋ณธ ๋…ผ๋ฌธ์€ Mrk 421์ด๋ผ๋Š” ๋ธ”๋ผ์ž๋ฅด์˜ ๊ฐ๋งˆ์„  ๋ฐฉ์ถœ ๋ฉ”์ปค๋‹ˆ์ฆ˜์— ๋Œ€ํ•ด ์‹ฌ๋„ ์žˆ๋Š” ๋ถ„์„์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ๋ธ”๋ผ์ž๋ฅด๋Š” ํ™œ์„ฑ ์€ํ•˜ํ•ต(AGN) ์ค‘์—์„œ ์ œํŠธ๋ฅผ ์ถ• ์†Œ๊ฐํ•˜๋Š” ๊ฐ๋„๊ฐ€ ์ž‘์•„ ๊ด€์ธก๋˜๋Š” ์ฒœ์ฒด๋กœ, ๊ทธ ์ŠคํŽ™ํŠธ๋Ÿผ ์—๋„ˆ์ง€ ๋ถ„ํฌ(SED)๋Š” ๋ผ๋””์˜คํŒŒ์—์„œ ๊ฐ๋งˆ์„ ๊นŒ์ง€์˜ ๋น„์—ด์  ์—ฐ์† ์ŠคํŽ™ํŠธ๋Ÿผ์„ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค. ํŠนํžˆ, Mrk 421์€ ๊ณ ์ฃผํŒŒ BL ๋ผํฌ ๊ฐ์ฒด๋กœ์„œ, ๋‹ค์–‘ํ•œ ํ™œ๋™ ์ƒํƒœ์—์„œ์˜ SED๋ฅผ ์—ฐ๊ตฌํ•จ์œผ๋กœ์จ ๋ฐฉ์ถœ ์ „์ž์˜ ํ™˜๊ฒฝ ๋ฐ ํŠน์„ฑ์„ ์ดํ•ดํ•˜๋Š” ์ค‘์š”ํ•œ ์‹คํ—˜ ๋Œ€์ƒ์ž…๋‹ˆ๋‹ค. ๋…ผ๋ฌธ์—์„œ๋Š” SSC(์‹œ๋„ˆํŠธ๋ก  ์ž์ฒด ์ปดํŠผ) ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ Mrk 421์˜ ๊ฐ๋งˆ์„  ๋ฐฉ์ถœ ๋ฉ”์ปค๋‹ˆ์ฆ˜

Astrophysics
GammaLib - A new framework for the analysis of Astronomical Gamma-Ray   Data

GammaLib - A new framework for the analysis of Astronomical Gamma-Ray Data

: GammaLib ํ”„๋ ˆ์ž„์›Œํฌ๋Š” ๊ฐ๋งˆ์„  ์ฒœ๋ฌธํ•™์˜ ๋ฐ์ดํ„ฐ ๋ถ„์„์— ํ˜์‹ ์ ์ธ ์ ‘๊ทผ๋ฒ•์„ ์ œ์‹œํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ๋…ผ๋ฌธ์€ GammaLib์ด ์–ด๋–ป๊ฒŒ ๋‹ค์–‘ํ•œ ๊ฐ๋งˆ์„  ๊ด€์ธก ๊ธฐ๊ธฐ์™€ ๋ฐ์ดํ„ฐ ํ˜•์‹์„ ํ†ตํ•ฉํ•˜์—ฌ ๊ณ ๊ธ‰ ๊ณผํ•™์  ๋ถ„์„์„ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•˜๋Š”์ง€ ์„ค๋ช…ํ•ฉ๋‹ˆ๋‹ค. 1. ๊ฐ๋งˆ์„  ์ฒœ๋ฌธํ•™์˜ ํ˜„์žฌ ์ƒํƒœ ๊ฐ๋งˆ์„  ์ฒœ๋ฌธํ•™์€ ์—๋„ˆ์ง€ ๋ฒ”์œ„๊ฐ€ ๋„“๊ณ  ๋‹ค์–‘ํ•œ ๊ฐ๋งˆ์„  ๋ง์›๊ฒฝ์œผ๋กœ ๊ตฌ์„ฑ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋‹ค์–‘์„ฑ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ๋ฐ์ดํ„ฐ๋Š” ๋Œ€๋ถ€๋ถ„ ๊ฐœ๋ณ„ ์ด๋ฒคํŠธ๋กœ ๊ตฌ์„ฑ๋˜๋ฉฐ, ๋„์ฐฉ ์‹œ๊ฐ„, ๋ฐฉํ–ฅ, ๊ทธ๋ฆฌ๊ณ  ์—๋„ˆ์ง€๋ฅผ ํฌํ•จํ•ฉ๋‹ˆ๋‹ค. FITS์™€ OGIP ํ‘œ์ค€์€ ๋งŽ์€ ์šฐ์ฃผ ๊ธฐ๋ฐ˜ ๋ง์›๊ฒฝ์— ๊ตฌํ˜„๋˜์—ˆ์ง€๋งŒ, ์ง€์ƒ

Analysis Framework Astrophysics Data
SSC Emission as Explanation of The Gamma Ray Afterglow Observed in GRB   980923

SSC Emission as Explanation of The Gamma Ray Afterglow Observed in GRB 980923

๋งค๋ ฅ์ ์ธ ํ•œ๊ธ€ ์ œ๋ชฉ: GRB 980923์˜ ํ•˜๋“œ ์ปดํฌ๋„ŒํŠธ์— ๋Œ€ํ•œ ์—ญ๋ฐ˜ ์ถฉ๊ฒฉ ํŒŒํ˜• ์—ฐ๊ตฌ ์ดˆ๋ก ์ „์ฒด ๋ฒˆ์—ญ ๋ฐ ์ •๋ฆฌ: ์ด ๋…ผ๋ฌธ์€ ๊ฐ๋งˆ์„  ํญ๋ฐœ(GRB)๊ณผ ๊ทธ ํ›„๊ด‘์„ ์„ค๋ช…ํ•˜๋Š” ํ™”์—ผ๊ตฌ ๋ชจ๋ธ์„ ๊ธฐ๋ฐ˜์œผ๋กœ, GRB 980923์˜ ํ•˜๋“œ ์ปดํฌ๋„ŒํŠธ๋ฅผ ๋ถ„์„ํ•œ๋‹ค. ํŠนํžˆ, ์—ญ๋ฐ˜ ์ถฉ๊ฒฉ ํŒŒํ˜•์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์ž๊ธฐ์กฐํ™” ์‚ฐ๋ž€(SSC) ๊ณผ์ •์ด X์„  ๋Œ€์—ญ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ๊ณผ ๊ณ ์—๋„ˆ์ง€ ์ŠคํŽ™ํŠธ๋Ÿผ ๊ตฌ์„ฑ ์š”์†Œ๋ฅผ ์„ค๋ช…ํ•˜๋Š”๋ฐ ์ดˆ์ ์„ ๋งž์ถ˜๋‹ค. ์—ฐ๊ตฌ์—์„œ๋Š” ์ „๋ฐฉ ์ถฉ๊ฒฉ๊ณผ ํ›„๋ฐฉ ์ถฉ๊ฒฉ์˜ ์—ญํ• ์„ ๋ถ„์„ํ•˜๊ณ , ์ด๋“ค ์ถฉ๊ฒฉ์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๋ฐฉ์ถœ ๊ณผ์ •์„ ๊ณ„์‚ฐํ•˜์—ฌ GRB 980923์˜ ๊ด€์ธก ๋ฐ์ดํ„ฐ์™€ ๋น„๊ตํ•œ๋‹ค. ์‹ฌ

Astrophysics
Quantum Entanglement Phase Transition in Werner State

Quantum Entanglement Phase Transition in Werner State

: ๋ณธ ๋…ผ๋ฌธ์€ ๊ณ„์‚ฐ ์—ญํ•™์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ์ƒˆ๋กœ์šด ์ ‘๊ทผ๋ฒ•์„ ํ†ตํ•ด ์–‘์ž ์‹œ์Šคํ…œ์˜ ๋ณต์žก์„ฑ์„ ์ธก์ •ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์•ˆํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๊ณ ์ „์  ๋ณต์žก์„ฑ ์ธก์ • ์ง€ํ‘œ์™€ ๋‹ฌ๋ฆฌ, ์–ฝํž˜๊ณผ ๊ฐ™์€ ์–‘์ž ํšจ๊ณผ๋ฅผ ํฌ์ฐฉํ•  ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ์ง€ํ‘œ ๊ฐœ๋ฐœ์— ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. 1. ๊ณ„์‚ฐ ์—ญํ•™์˜ ๊ธฐ์ดˆ ๊ณ„์‚ฐ ์—ญํ•™์€ Crutchfield์™€ Young์ด ์ œ์•ˆํ•œ ๊ฐœ๋…์œผ๋กœ, ๋™์—ญํ•™ ์‹œ์Šคํ…œ์˜ ๋ณต์žก์„ฑ์„ ์ธก์ •ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ์ด ์ ‘๊ทผ๋ฒ•์—์„œ๋Š” ํ™•๋ฅ ์  ์ž๋™๋ฌธ์„ ์ƒ์„ฑํ•˜์—ฌ ๋ถ„์„ ์‹œ์Šคํ…œ์˜ ๊ธฐํ˜ธ ์—ญํ•™์„ ๋ชจ๋ฐฉํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ๋‚ด์žฌ์ ์ธ ๊ณ„์‚ฐ ๋ฐ ๋ณต์žก์„ฑ์„ ์ •๋Ÿ‰ํ™”ํ•ฉ๋‹ˆ๋‹ค. 2. ์–‘์ž ์ƒ

Physics Nonlinear Sciences Quantum Physics
New Zealand involvement in Radio Astronomical VLBI Image Processing

New Zealand involvement in Radio Astronomical VLBI Image Processing

: ๋ณธ ๋…ผ๋ฌธ์€ ๋‰ด์งˆ๋žœ๋“œ์˜ ์›Œํฌ์›Œ์Šค ๋ผ๋””์˜ค ์ฒœ๋ฌธ๋Œ€(WRAO)์™€ ํ˜ธ์ฃผ ์žฅ๊ฑฐ๋ฆฌ ๋ฐฐ์—ด(LBA) ๊ฐ„์˜ ํ˜‘๋ ฅ์ด ์–ด๋–ป๊ฒŒ ๊ณ ํ•ด์ƒ๋„ ๋ผ๋””์˜ค ์˜์ƒ์„ ์ƒ์„ฑํ•˜๋Š” ๋ฐ ๊ธฐ์—ฌํ•˜๊ณ  ์žˆ๋Š”์ง€๋ฅผ ์‹ฌ์ธต์ ์œผ๋กœ ๋ถ„์„ํ•ฉ๋‹ˆ๋‹ค. WRAO๋Š” AUT ๋Œ€ํ•™๊ต์˜ IRASR์—์„œ ์šด์˜๋˜๋ฉฐ, 12m ๋ผ๋””์˜ค ๋ง์›๊ฒฝ์€ ์„ธ ๊ฐ€์ง€ ์ฃผํŒŒ์ˆ˜ ๋Œ€์—ญ(1.4, 2.3, 8.6 GHz)์—์„œ ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค. ํ•ต์‹ฌ ๋‚ด์šฉ ๋ถ„์„ VLBI์™€ LBA์˜ ํ˜‘๋ ฅ: WRAO๋Š” 2011๋…„๋ถ€ํ„ฐ LBA์— ์ •๊ธฐ์ ์œผ๋กœ ์ฐธ์—ฌํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์ด๋กœ ์ธํ•ด VLBI ์ž‘์—…์˜ ํ•ด์ƒ๋„๊ฐ€ ํฌ๊ฒŒ ํ–ฅ์ƒ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ WRAO์˜ ์ถ”๊ฐ€๋กœ ๋™์„œ ๊ธฐ์„  ๊ธธ์ด๊ฐ€ ์•ฝ

Graphics Computer Science Astrophysics
Zum 200. Geburtstag von Evariste Galois

Zum 200. Geburtstag von Evariste Galois

: ๊ฐˆ๋ฃจ์•„์˜ ์‚ถ๊ณผ ์‹œ๋Œ€์  ๋ฐฐ๊ฒฝ ์—๋ฐ”๋ฆฌ์Šค ๊ฐˆ๋ฃจ์•„๋Š” ํ”„๋ž‘์Šค ํ˜๋ช… ์ดํ›„์˜ ๋ถˆ์•ˆ์ •ํ•œ ์ •์น˜ ํ™˜๊ฒฝ ์†์—์„œ ํƒœ์–ด๋‚ฌ๋‹ค. ๊ทธ์˜ ์ƒ์• ๋Š” 1820๋…„๋Œ€์™€ 30๋…„๋Œ€, ์ฆ‰ ๋‘ ๋ฒˆ์งธ ํ˜๋ช…์ด ์ผ์–ด๋‚œ ์‹œ๊ธฐ์™€ ๋งž๋ฌผ๋ ค ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ์‹œ๋Œ€์  ๋ฐฐ๊ฒฝ์€ ๊ฐˆ๋ฃจ์•„์—๊ฒŒ ํฐ ์˜ํ–ฅ์„ ๋ฏธ์ณค์œผ๋ฉฐ, ๊ทธ๋Š” ์ •์น˜์ ์œผ๋กœ ๋งค์šฐ ํ™œ๋™์ ์ด์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด๋กœ ์ธํ•ด ํ•™๊ต์—์„œ ์ถ”๋ฐฉ๋‹นํ•˜๊ฑฐ๋‚˜ ์‚ฌํšŒ์  ์ œ์•ฝ์„ ๊ฒช๊ฒŒ ๋˜์—ˆ๋‹ค. ์ˆ˜ํ•™์  ์—…์  ๊ฐˆ๋ฃจ์•„์˜ ๊ฐ€์žฅ ์ค‘์š”ํ•œ ์ˆ˜ํ•™์  ์—…์  ์ค‘ ํ•˜๋‚˜๋Š” ๋ฐฉ์ •์‹์˜ ํ•ด๋ฒ•๊ณผ ๊ตฐ๋ก  ์‚ฌ์ด์˜ ๊นŠ์€ ์—ฐ๊ฒฐ์„ ํƒ๊ตฌํ•œ ๊ฒƒ์ด๋‹ค. ๊ทธ๋Š” ๋‹ค์„ฏ ์ฐจ์ˆ˜ ์ด์ƒ์˜ ๋ฐฉ์ •์‹์— ๋Œ€ํ•œ ์ผ๋ฐ˜์ ์ธ ํ•ด๋ฒ•์ด ์กด์žฌํ•˜์ง€ ์•Š๋Š”๋‹ค๋Š” ๊ฒƒ

Mathematics
ABHIVYAKTI: A Vision Based Intelligent System for Elder and Sick Persons

ABHIVYAKTI: A Vision Based Intelligent System for Elder and Sick Persons

ABHIVYA KTI๋Š” ๋งํ•˜๊ฑฐ๋‚˜ ๊ฑธ์„ ์ˆ˜ ์—†๋Š” ๋…ธ์ธ์ด๋‚˜ ํ™˜์ž๋ฅผ ์œ„ํ•œ ์† ์ œ์Šค์ฒ˜ ์ธ์‹ ์‹œ์Šคํ…œ์œผ๋กœ, ์ปดํ“จํ„ฐ ๋น„์ „ ๊ธฐ์ˆ ์„ ํ™œ์šฉํ•˜์—ฌ ์‚ฌ์šฉ์ž์˜ ์ œ์Šค์ฒ˜๋ฅผ ํ•ด์„ํ•˜๊ณ  ํ•„์š”ํ•œ ๋™์ž‘์„ ์ˆ˜ํ–‰ํ•˜๋Š” ๋ฐ ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ์˜ ํ•ต์‹ฌ์€ ์ธ๊ฐ„๊ณผ ๊ธฐ๊ณ„ ๊ฐ„์˜ ์ƒํ˜ธ์ž‘์šฉ์„ ํ–ฅ์ƒ์‹œํ‚ค๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. 1. ์‹œ์Šคํ…œ ๊ตฌ์„ฑ ๋ฐ ์ž‘๋™ ๋ฐฉ์‹ ABHIVYA KTI๋Š” ์นด๋ฉ”๋ผ๋ฅผ ํ†ตํ•ด ์‚ฌ์šฉ์ž์˜ ์† ์ œ์Šค์ฒ˜๋ฅผ ์บก์ฒ˜ํ•˜๊ณ , ์ด๋ฅผ ํ•ด์„ํ•˜์—ฌ ํ•„์š”ํ•œ ๋™์ž‘์„ ์ˆ˜ํ–‰ํ•ฉ๋‹ˆ๋‹ค. ์ด ์‹œ์Šคํ…œ์€ ๋ฏธ๋ฆฌ ์ •์˜๋œ ์ œ์Šค์ฒ˜ ๋ฌธ๋ฒ•์— ๋”ฐ๋ผ ์ž‘๋™ํ•˜๋ฉฐ, ์œ ํšจํ•œ ์ œ์Šค์ฒ˜๊ฐ€ ์ž…๋ ฅ๋˜๋ฉด ํ•ด๋‹น ๋™์ž‘์„ ์‹คํ–‰ํ•˜๊ณ  ์™„๋ฃŒ ๋ฉ”์‹œ์ง€๋ฅผ ์‚ฌ์šฉ์ž

Computer Science System Computer Vision
Verifying Sierpinski and Riesel Numbers in ACL2

Verifying Sierpinski and Riesel Numbers in ACL2

์ด ๋…ผ๋ฌธ์€ ์‹œ๋ฅดํ”ผ๋‹ˆ(Sierpiล„ski) ์ˆ˜์™€ ๋ ˆ์ ค(Riesel) ์ˆ˜์— ๋Œ€ํ•œ ์‹ฌ๋„ ์žˆ๋Š” ๋ถ„์„๊ณผ ACL2๋ผ๋Š” ์ปดํ“จํ„ฐ ์ฆ๋ช… ๋„๊ตฌ๋ฅผ ํ™œ์šฉํ•œ ๊ทธ๋“ค์˜ ์„ฑ์งˆ ๊ฒ€์ฆ ๋ฐฉ๋ฒ•์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ด๋“ค ์ˆ˜๋Š” ํŠน์ • ์–‘์˜ ํ™€์ˆ˜ ์ •์ˆ˜๊ฐ€ ๋ฌดํ•œ ๋ฆฌ์ŠคํŠธ์—์„œ ์†Œ์ˆ˜๊ฐ€ ๋ฐœ๊ฒฌ๋˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ์— ํ•ด๋‹นํ•˜๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ์ˆ˜ํ•™์ ์œผ๋กœ ์ค‘์š”ํ•œ ์œ„์น˜๋ฅผ ์ฐจ์ง€ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์‹œ๋ฅดํ”ผ๋‹ˆ์™€ ๋ ˆ์ ค ์ˆ˜์˜ ๊ฐœ๋… ์‹œ๋ฅดํ”ผ๋‹ˆ ์ˆ˜์™€ ๋ ˆ์ ค ์ˆ˜๋Š” ๊ฐ๊ฐ k โ€ข 2^n + 1๊ณผ k โ€ข 2^n 1 ํ˜•ํƒœ์˜ ๋ฌดํ•œ ๋ฆฌ์ŠคํŠธ์—์„œ ์†Œ์ˆ˜๊ฐ€ ๋ฐœ๊ฒฌ๋˜์ง€ ์•Š๋Š” ์–‘์˜ ํ™€์ˆ˜ ์ •์ˆ˜์ž…๋‹ˆ๋‹ค. ์ด๋“ค ์ˆ˜๋ฅผ ์‹๋ณ„ํ•˜๋Š” ๊ฒƒ์€ ์–ด๋ ต์ง€๋งŒ, ํŠน์ • ์กฐ๊ฑด์„ ๋งŒ์กฑํ•˜๋ฉด

Computer Science Discrete Mathematics Logic
Multicanonical entropy like-solution of statistical temperature weighted   histogram analysis method (ST-WHAM)

Multicanonical entropy like-solution of statistical temperature weighted histogram analysis method (ST-WHAM)

๋ณธ ๋…ผ๋ฌธ์€ ST WHAM (ํ†ต๊ณ„์  ์˜จ๋„ ๊ฐ€์ค‘ ํžˆ์Šคํ† ๊ทธ๋žจ ๋ถ„์„ ๋ฐฉ๋ฒ•)์— ์ค‘์ ์„ ๋‘๊ณ , ์ด ๋ฐฉ๋ฒ•์ด ๋ฏธ์„ธ๊ด€์„ฑ ์—”ํŠธ๋กœํ”ผ๋ฅผ ์ถ”์ •ํ•˜๋Š” ๋ฐ ์–ผ๋งˆ๋‚˜ ํšจ๊ณผ์ ์ธ์ง€๋ฅผ ๋ถ„์„ํ•ฉ๋‹ˆ๋‹ค. WHAM ๋ฐฉ์‹์˜ ํ•œ๊ณ„์™€ ST WHAM์˜ ๊ฐœ์„ ์ , ๊ทธ๋ฆฌ๊ณ  ์ด๋ฅผ ํ†ตํ•ด ์–ป์„ ์ˆ˜ ์žˆ๋Š” ์—ด์—ญํ•™์  ์ •๋ณด์˜ ์ค‘์š”์„ฑ์„ ๊ฐ•์กฐํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. 1. WHAM๊ณผ ST WHAM์˜ ๋น„๊ต WHAM์€ ๋‹ค์–‘ํ•œ ์˜จ๋„์—์„œ ์ˆ˜ํ–‰๋œ ๋ชฌํ…Œ์นด๋ฅผ๋กœ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ฐ์ดํ„ฐ๋ฅผ ๊ฒฐํ•ฉํ•˜์—ฌ ์ƒ˜ํ”Œ๋ง์„ ํ–ฅ์ƒ์‹œํ‚ค๋Š” ๋ฐฉ๋ฒ•์ž…๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, ์ด ๋ฐฉ์‹์€ ๋ฐ˜๋ณต์ ์ธ ์ˆ˜์น˜ ๊ณผ์ •์„ ํ•„์š”๋กœ ํ•˜๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ์—๋„ˆ์ง€ ๋ฐ์ดํ„ฐ๊ฐ€ ์ €์žฅ๋œ ํžˆ์Šคํ† ๊ทธ๋žจ์—์„œ ์ž์œ 

Analysis Physics Condensed Matter
Goonhilly Sparklers

Goonhilly Sparklers

: ์ด ๋…ผ๋ฌธ์€ ๊ณ ์šดํž๋ฆฌ ์ง€๊ตฌ๊ด€์ธก์†Œ๋ฅผ ํ™œ์šฉํ•œ ๊ทน๋‹จ ์‚ฐ๋ž€ ์‚ฌ๊ฑด(ESEs) ์—ฐ๊ตฌ์— ๋Œ€ํ•œ ์‹ฌ๋„ ์žˆ๋Š” ๋ถ„์„์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ESEs๋Š” ์ด์˜จํ™”๋œ ๊ธฐ์ฒด์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์ „ํŒŒ ๊ตด์ ˆ ํ˜„์ƒ์œผ๋กœ, ISM์˜ ์••๋ ฅ์ด ์ฒœ ๋ฐฐ ์ด์ƒ ๋†’์•„์•ผ ํ•˜๋ฉฐ AU ํฌ๊ธฐ์˜ ์˜์—ญ์—์„œ ์ผ์–ด๋‚˜๋Š” ๋งค์šฐ ๋“œ๋ฌธ ์‚ฌ๊ฑด์ž…๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ํ˜„์ƒ์€ ISM์˜ ๊ธฐ๋ณธ ๋ฌผ๋ฆฌํ•™์— ๋Œ€ํ•œ ์šฐ๋ฆฌ์˜ ์ดํ•ด๋ฅผ ๋„์ „ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์ด์ „ ์—ฐ๊ตฌ์—์„œ๋Š” ๋ฐ”๋ฆฌ์˜จ ์•”ํ‘ ๋ฌผ์งˆ์ด ESEs์˜ ์›์ธ์ผ ์ˆ˜ ์žˆ๋‹ค๊ณ  ์ œ์•ˆ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๋…ผ๋ฌธ์€ ๊ณ ์šดํž๋ฆฌ ์ง€๊ตฌ๊ด€์ธก์†Œ๊ฐ€ ESEs ์—ฐ๊ตฌ์— ์–ด๋–ป๊ฒŒ ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ๋Š”์ง€ ์„ค๋ช…ํ•ฉ๋‹ˆ๋‹ค. ๊ณ ์šดํž๋ฆฌ๋Š” ์˜๊ตญ ์ฝ˜์›”์— ์œ„์น˜ํ•œ ์ „

Astrophysics
Search for high-energy gamma-ray emission from galaxies of the Local   Group with Fermi/LAT

Search for high-energy gamma-ray emission from galaxies of the Local Group with Fermi/LAT

) ์‹ฌ๋„ ๋ถ„์„: ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ณ ์—๋„ˆ์ง€ ๊ฐ๋งˆ์„  ๋ฐฉ์ถœ์˜ ์›์ฒœ์— ๋Œ€ํ•œ ์ดํ•ด๋ฅผ ํ™•์žฅํ•˜๋Š” ๋ฐ ์ค‘์š”ํ•œ ์—ญํ• ์„ ์ˆ˜ํ–‰ํ•œ๋‹ค. ํŠนํžˆ, Local Group ๋‚ด ์ผ๋ฐ˜ ์€ํ•˜์—์„œ ์ด๋Ÿฌํ•œ ๋ฐฉ์ถœ์ด ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ๊ฐ€๋Šฅ์„ฑ์„ ํƒ์ƒ‰ํ•จ์œผ๋กœ์จ, ์šฐ์ฃผ์„  ์ƒํ˜ธ์ž‘์šฉ๊ณผ ๊ด€๋ จ๋œ ํ˜„์ƒ์— ๋Œ€ํ•ด ๋” ๊นŠ์€ ํ†ต์ฐฐ๋ ฅ์„ ์ œ๊ณตํ•œ๋‹ค. 1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์ : ๊ณ ์—๋„ˆ์ง€ ๊ฐ๋งˆ์„ ์˜ ์›์ฒœ์€ ์ฃผ๋กœ ํ™œ๋™์„ฑ ์€ํ•˜ํ•ต(AGN)์ด๋‚˜ ์Šคํƒ€๋ฒ„์ŠคํŠธ ์€ํ•˜์—์„œ ๋ฐœ๊ฒฌ๋˜์–ด ์™”๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ตœ๊ทผ์—๋Š” ์ผ๋ฐ˜์ ์ธ ์€ํ•˜์—์„œ๋„ ์ด๋Ÿฌํ•œ ๋ฐฉ์ถœ์ด ๊ฐ€๋Šฅํ•˜๋‹ค๋Š” ๊ฐ€์„ค์ด ์ œ๊ธฐ๋˜์—ˆ๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ๋Š” Local Group ๋‚ด ์ผ๋ฐ˜ ์€ํ•˜๋“ค, ํŠนํžˆ M8

Astrophysics
No Image

Lunar Eclipse of June, 15, 2011: Three-color umbra surface photometry

์ด ๋…ผ๋ฌธ์€ 2011๋…„ 6์›” 15์ผ์— ๋ฐœ์ƒํ•œ ์ด ๋‹ฌ ์‹์„ ๊ด€์ธกํ•˜์—ฌ ์ง€๊ตฌ ๋Œ€๊ธฐ์˜ ๊ด‘ํ•™์  ์„ฑ๋ถ„๊ณผ ๊ทธ ๋ณ€ํ™”๋ฅผ ๋ถ„์„ํ•˜๋Š” ๋ฐ ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ๋‹ค. ๋‹ฌ ์‹์€ ํƒœ์–‘์—์„œ ๋ฐœ์‚ฐ๋œ ๋ฐฉ์‚ฌ์„ ์ด ์ง€๊ตฌ ๋Œ€๊ธฐ๋ฅผ ํ†ต๊ณผํ•˜๋ฉด์„œ ๊ตด์ ˆ, ์‚ฐ๋ž€ ๋ฐ ํก์ˆ˜๋˜๋Š” ๊ณผ์ •์„ ๊ด€์ฐฐํ•  ์ˆ˜ ์žˆ๋Š” ์ค‘์š”ํ•œ ๊ธฐํšŒ๋กœ, ์ด๋Š” ๋Œ€๊ธฐ ์กฐ๊ฑด์— ํฌ๊ฒŒ ์˜์กดํ•œ๋‹ค. ๋…ผ๋ฌธ์˜ ํ•ต์‹ฌ ๋‚ด์šฉ์€ ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค: 1. ๋‹ฌ ์‹์˜ ๊ด‘๋„ ์ธก์ • : ๋‹ฌ ํ‘œ๋ฉด์˜ ๊ด‘๋„๋ฅผ ์ธก์ •ํ•จ์œผ๋กœ์จ ์ง€๊ตฌ ๋Œ€๊ธฐ์˜ ๋‹ค์–‘ํ•œ ๊ณ ๋„์™€ ๊ฒฝ๊ณ„์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๊ตด์ ˆ์„ ํฌ๊ด„ํ•œ๋‹ค. ํŠนํžˆ, 2011๋…„ 6์›” 15์ผ์˜ ์ด ๋‹ฌ ์‹์€ ์ ๋„ ๋ฐ ์—ด๋Œ€ ์ง€์—ญ์˜ ๋Œ€๊ธฐ๋ฅผ ๊ด€์ฐฐํ•  ์ˆ˜ ์žˆ๋Š”

Physics Astrophysics
Comment on 'The separation of variables and bifurcations of first   integrals in one problem of D.N.Goryachev' by Pavel E. Ryabov   (Archive:1102.2588v1)

Comment on 'The separation of variables and bifurcations of first integrals in one problem of D.N.Goryachev' by Pavel E. Ryabov (Archive:1102.2588v1)

: ๋ณธ ๋…ผ๋ฌธ์€ Goryachev ์‹œ์Šคํ…œ์— ๋Œ€ํ•œ ๋ณ€์ˆ˜ ๋ถ„๋ฆฌ์™€ ์ฒซ ๋ฒˆ์งธ ํ†ตํ•ฉ์˜ ๋ถ„๊ธฐ๋ฅผ ๋‹ค๋ฃจ๋ฉฐ, ํŠนํžˆ ๊ฒŒ์˜ค๋ฉ”ํŠธ๋ฆญ ์นผ๋ผ๋ชจํ”„ ๋ฐฉ๋ฒ•์ด ์ ์šฉ๋  ๋•Œ ๋น„์ปค๋„ '์ƒˆ๋กœ์šด ๋ณ€์ˆ˜ ๋ถ„๋ฆฌ'๊ฐ€ ๋ฐœ์ƒํ•œ๋‹ค๋Š” ๊ฒƒ์„ ์ฆ๋ช…ํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” Goryachev ์‹œ์Šคํ…œ์„ ์„ค๋ช…ํ•˜๊ธฐ ์œ„ํ•ด ๊ฐ์šด๋™๋Ÿ‰ ๋ฒกํ„ฐ M๊ณผ ํฌ์•„์†ก ๋ฒกํ„ฐ ฮฑ๋ฅผ ์‚ฌ์šฉํ•˜๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด eโˆ—(3) ๋ฆฌ ํฌ์•„์†ก ๋ธŒ๋ž˜ํ‚ท๊ณผ ์—ฐ๊ด€๋œ ํฌ์•„์†ก ๋ธŒ๋ž˜ํ‚ท์„ ์ •์˜ํ•œ๋‹ค. ์ด๋Ÿฌํ•œ ์ ‘๊ทผ๋ฒ•์€ Goryachev ์‹œ์Šคํ…œ์˜ ๋™์—ญํ•™์  ํŠน์„ฑ์„ ์ดํ•ดํ•˜๋Š” ๋ฐ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•œ๋‹ค. ๋…ผ๋ฌธ์—์„œ ์ €์ž๋Š” ๋‘ ๋ณด์กด๋Ÿ‰ H์™€ K ์‚ฌ์ด์˜ ์ƒํ˜ธ์ž‘์šฉ์„ ๋ถ„์„ํ•˜๊ณ , ์ด๋“ค ๊ฐ„์˜ ๊ด€

Nonlinear Sciences
Massive non-thermal radio emitters: new data and their modelling

Massive non-thermal radio emitters: new data and their modelling

๋ณธ ๋…ผ๋ฌธ์€ ๋Œ€์งˆ๋Ÿ‰ ๋ณ„, ํŠนํžˆ Wolf Rayet ๋ฐ OB ์œ ํ˜•์˜ ๋ณ„๋“ค์ด ๋น„์—ด์  ๋ผ๋””์˜ค ๋ฐฉ์ถœ์„ ๋‚˜ํƒ€๋‚ด๋Š” ํ˜„์ƒ์„ ๋‹ค๋ฃจ๊ณ  ์žˆ๋‹ค. ์ด ๋น„์—ด์  ๋ณต์‚ฌ๋Š” ์ถฉ๋Œ ์—†๋Š” ์ถฉ๊ฒฉ์—์„œ ์ƒ๋Œ€๋ก ์  ์ „์ž๊ฐ€ ๊ฐ€์†๋˜์–ด ์ƒ์„ฑ๋˜๋Š” ํŽ˜๋ฅด๋ฏธ ๋ฉ”์ปค๋‹ˆ์ฆ˜์— ์˜ํ•ด ๋ฐœ์ƒํ•œ๋‹ค. ์ด๋ก  ๋ชจ๋ธ(Eichler & Usov, 1993)์€ ์ด๋Ÿฌํ•œ ์ถฉ๊ฒฉ์ด ๋ฐฉ์‚ฌ๋ ฅ์ ์œผ๋กœ ์ฃผ๋„๋˜๋Š” ๋ฐ”๋žŒ์ด ์Œ์„ฑ ๋˜๋Š” ๋‹ค์ค‘ ์‹œ์Šคํ…œ์—์„œ ์ถฉ๋Œํ•˜์—ฌ ๋ฐœ์ƒํ•œ๋‹ค๋Š” ๊ฒƒ์„ ์ œ์‹œํ•˜๊ณ  ์žˆ๋‹ค. Cyg OB2 No. 9๋Š” O5 + O6 7 ์Œ์„ฑ์œผ๋กœ, Van Loo ๋“ฑ (2008)์€ ์ด ๋ณ„์˜ ๋ผ๋””์˜ค ๋ณต์‚ฌ ๋ฐ์ดํ„ฐ๊ฐ€ ์•ฝ 2.355๋…„์˜ ์ฃผ๊ธฐ๋กœ ๋ณ€

Model Astrophysics Data
Can Mathisson-Papapetrou equations give clue to some problems in   astrophysics?

Can Mathisson-Papapetrou equations give clue to some problems in astrophysics?

๋งค๋ ฅ์ ์ธ ํ•œ๊ธ€ ์ œ๋ชฉ: ํŽ˜๋ฅด๋ฏธ ์šด์†ก๊ณผ ๋งˆ์‹œ๋ชฌ ํŒŒํŒŒํŽ˜ํŠธ๋กœ ๋ฐฉ์ •์‹: ์ฒœ์ฒด๋ฌผ๋ฆฌํ•™์  ํ•จ์˜ ์ดˆ๋ก ์ „์ฒด ๋ฒˆ์—ญ ๋ฐ ์ •๋ฆฌ: ๋ณธ ๋…ผ๋ฌธ์€ Mathisson Papapetrou (MPD) ๋ฐฉ์ •์‹์ด ํšŒ์ „ํ•˜๋Š” ์ž…์ž์˜ ์ผ๋ฐ˜ ์ƒ๋Œ€์„ฑ ์ด๋ก ์  ์šด๋™์„ ์„ค๋ช…ํ•˜๋ฉฐ, ํŠนํžˆ ๊ณ ์†์œผ๋กœ ํšŒ์ „ํ•˜๋Š” ์ž…์ž์—์„œ ๋‚˜ํƒ€๋‚˜๋Š” ๊ฐ•ํ•œ ํ•ญ์ค‘๋ ฅ ํšจ๊ณผ๋ฅผ ๋ถ„์„ํ•ฉ๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ํŠน์„ฑ์ด ์ฒœ์ฒด๋ฌผ๋ฆฌํ•™์  ํ˜„์ƒ, ์˜ˆ๋ฅผ ๋“ค์–ด OPERA ์‹คํ—˜ ๊ฒฐ๊ณผ์™€ ์—ฐ๊ด€๋  ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฐ€๋Šฅ์„ฑ์„ ์ œ์•ˆํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๋…ผ๋ฌธ์€ MPD ๋ฐฉ์ •์‹์ด ์ผ๋ฐ˜ ์ƒ๋Œ€์„ฑ ์ด๋ก ์  ๋””๋ž™ ๋ฐฉ์ •์‹์˜ ๊ณ ์ „์  ๊ทผ์‚ฌ์น˜์ž„์„ ๊ฐ•์กฐํ•˜๋ฉฐ, ํŽ˜๋ฅด๋ฏธ ์šด๋ฐ˜ ๊ฐœ๋…์„ ํ†ตํ•ด ์ •ํ™•ํ•œ ์ผ

HEP-TH General Relativity Astrophysics
Could Dense Quark Matter be a Source of Super High Energy Cosmic Rays?

Could Dense Quark Matter be a Source of Super High Energy Cosmic Rays?

1. ์ดˆ๊ณ ์—๋„ˆ์ง€ ์šฐ์ฃผ์„ ์˜ ์›์ฒœ ๋ฌธ์ œ ์ดˆ๊ณ ์—๋„ˆ์ง€ ์šฐ์ฃผ์„ ์€ ์šฐ์ฃผ์˜ ๋ฐœ์ƒ๊ณผ ์ง„ํ™”์— ๋Œ€ํ•œ ์ค‘์š”ํ•œ ์ •๋ณด๋ฅผ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ์ง€๋งŒ, ๊ทธ ์ถœ์ฒ˜๋Š” ์—ฌ์ „ํžˆ ๋ฏธ์Šคํ„ฐ๋ฆฌ๋กœ ๋‚จ์•„ ์žˆ์Šต๋‹ˆ๋‹ค. ์ง€์ƒ ์‹คํ—˜์‹ค์—์„œ๋Š” ์ด๋Ÿฌํ•œ ์—๋„ˆ์ง€ ๋ฒ”์œ„(10^17 18 eV ์ด์ƒ)์˜ ์ž…์ž ๋น”์„ ์žฌํ˜„ํ•˜๋Š” ๊ฒƒ์ด ๋ถˆ๊ฐ€๋Šฅํ•˜๊ธฐ ๋•Œ๋ฌธ์—, ์ดˆ๊ณ ์—๋„ˆ์ง€ ์šฐ์ฃผ์„ ์€ ์ด๋“ค ์ž…์ž์˜ ์ƒํ˜ธ์ž‘์šฉ์„ ์—ฐ๊ตฌํ•  ์ˆ˜ ์žˆ๋Š” ์œ ์ผํ•œ ์ž์›์ž…๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ํ˜„์žฌ๊นŒ์ง€ ์ œ์‹œ๋œ ๋ณ„ ์ƒ์„ฑ ๋ชจ๋ธ๋“ค์€ ์ด๋Ÿฌํ•œ ์—๋„ˆ์ง€ ๋ฒ”์œ„๋ฅผ ๊ฐ€์†ํ™”ํ•˜๋Š” ๋ฐ ํ•„์š”ํ•œ ๊ฐ•๋ ฅํ•œ ์ „์ž๊ธฐ์žฅ์ด ๋ถ€์กฑํ•˜๋‹ค๋Š” ์ด๋ก ์  ์˜ˆ์ธก์ด ์žˆ์Šต๋‹ˆ๋‹ค. 2. ๋ฐ€๋„ ๋†’์€ ์ฟผํฌ ๋ฌผ์งˆ์˜ ๊ฐ€๋Šฅ์„ฑ ๋…ผ๋ฌธ์—์„œ๋Š”

Physics Astrophysics
Restricted Parameter Range Promise Set Cover Problems Are Easy

Restricted Parameter Range Promise Set Cover Problems Are Easy

: ๋ณธ ๋…ผ๋ฌธ์€ ์„ธํŠธ ์ปค๋ฒ„ ๋ฌธ์ œ์˜ ๋ณ€ํ˜• ์ค‘ ํ•˜๋‚˜์ธ k ๊ท ์ผ ํ•˜์ดํผ๊ทธ๋ž˜ํ”„์—์„œ์˜ ์ •์  ๋ฎ๊ฐœ ๋ฌธ์ œ์— ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ๋ฌธ์ œ๋Š” ๊ณ ์ „์ ์ธ ์„ธํŠธ ์ปค๋ฒ„ ๋ฌธ์ œ์™€ ์œ ์‚ฌํ•˜์ง€๋งŒ, ๊ฐ ์—ฃ์ง€๊ฐ€ ์ •ํ™•ํžˆ k๊ฐœ์˜ ์›์†Œ๋ฅผ ํฌํ•จํ•˜๋Š” ํŠน์„ฑ์„ ๊ฐ€์ง‘๋‹ˆ๋‹ค. ๋…ผ๋ฌธ์€ ๋‘ ๊ฐ€์ง€ ์ฃผ์š” ๊ฒฐ๊ณผ๋ฅผ ์ œ์‹œํ•ฉ๋‹ˆ๋‹ค: ์ฒซ์งธ๋กœ, YES ์ธ์Šคํ„ด์Šค์—์„œ ์ •์ˆ˜ ๋ฒกํ„ฐ L(B)๋Š” n๊ฐœ์˜ ๋น„์˜ ์š”์†Œ๋ฅผ ๊ฐ–๋Š”๋‹ค๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ด๋Š” ์ •ํ™•ํ•œ ๋ฎ๊ฐœ๊ฐ€ ์กด์žฌํ•จ์„ ์˜๋ฏธํ•˜๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ๋ฌธ์ œ์˜ ํ•ด๊ฒฐ ๊ฐ€๋Šฅ์„ฑ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋‘˜์งธ๋กœ, NO ์ธ์Šคํ„ด์Šค์—์„œ๋Š” L(B)๊ฐ€ ์ตœ๋Œ€ 2(nฮท(m)d)๊ฐœ์˜ ๋น„์˜ ์š”์†Œ๋งŒ ๊ฐ€์ง‘๋‹ˆ๋‹ค

Computational Complexity Computer Science
A Novel comprehensive method for real time Video Motion Detection   Surveillance

A Novel comprehensive method for real time Video Motion Detection Surveillance

๋ณธ ๋…ผ๋ฌธ์€ ์ €๋ ดํ•˜๊ณ  ํšจ์œจ์ ์ธ ์‹ค์‹œ๊ฐ„ ๋น„๋””์˜ค ๋ชจ์…˜ ๊ฐ์ง€ ๋ณด์•ˆ ์‹œ์Šคํ…œ(VMDss)์˜ ์„ค๊ณ„์™€ ๊ตฌํ˜„์„ ๋‹ค๋ฃจ๊ณ  ์žˆ๋‹ค. ์ด ์‹œ์Šคํ…œ์€ ์‚ฌ์šฉ์ž ์นœํ™”์ ์ด๊ณ  ์›๊ฒฉ ์ œ์–ด๊ฐ€ ๊ฐ€๋Šฅํ•˜๋ฉฐ, ๋ฏธ๋ฆฌ ์ •์˜๋œ ์ƒ‰์ƒ ๊ฐ์ฒด ์ถ”์  ๊ธฐ๋Šฅ์„ ํฌํ•จํ•˜๊ณ  ์žˆ์–ด ๋‹ค์–‘ํ•œ ํ™˜๊ฒฝ์—์„œ ์œ ์šฉํ•˜๊ฒŒ ํ™œ์šฉ๋  ์ˆ˜ ์žˆ๋‹ค. 1. ์‹œ์Šคํ…œ ๊ตฌ์„ฑ ์ „์†ก ์„น์…˜ : ์ปดํ“จํ„ฐ, RS232 ์ธํ„ฐํŽ˜์ด์Šค, ๋งˆ์ดํฌ๋กœ์ปจํŠธ๋กค๋Ÿฌ, RF ์†ก์‹ ๊ธฐ, RF ๋น„๋””์˜ค ์ˆ˜์‹ ๊ธฐ๋กœ ๊ตฌ์„ฑ๋˜์–ด ์žˆ์œผ๋ฉฐ, ์ด๋“ค ์š”์†Œ๋Š” ์‹œ๊ฐ ์ •๋ณด๋ฅผ ์ˆ˜์ง‘ํ•˜๊ณ  ์ œ์–ด ์‹ ํ˜ธ๋ฅผ ์ „์†กํ•˜๋Š” ์—ญํ• ์„ ์ˆ˜ํ–‰ํ•œ๋‹ค. ์ˆ˜์‹  ์„น์…˜ : ๋ชจ๋ฐ”์ผ ํ”Œ๋žซํผ, RF ์ˆ˜์‹ ๊ธฐ, ๋งˆ์ดํฌ๋กœ์ปจํŠธ๋กค๋Ÿฌ, RF ์นด๋ฉ”

Detection Computer Science Computer Vision
Education and Outreach in Particle Physics

Education and Outreach in Particle Physics

๋ณธ ๋…ผ๋ฌธ์€ ๊ณผํ•™, ํŠนํžˆ ์ž…์ž ๋ฌผ๋ฆฌํ•™ ๋ถ„์•ผ์—์„œ ๊ต์œก ๋ฐ ํ™๋ณด ํ™œ๋™์˜ ์ค‘์š”์„ฑ์„ ๊ฐ•์กฐํ•˜๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ๋Œ€์ค‘์—๊ฒŒ ๊ณผํ•™์˜ ์•„๋ฆ„๋‹ค์›€๊ณผ ๊ฒฝ์ด๋กœ์›€์„ ์ „๋‹ฌํ•˜๋Š” ๋ฐฉ๋ฒ•์— ๋Œ€ํ•ด ์‹ฌ๋„ ์žˆ๊ฒŒ ๋‹ค๋ฃจ๊ณ  ์žˆ๋‹ค. ๋…ผ๋ฌธ์€ ๋‹ค์–‘ํ•œ ํ”„๋กœ๊ทธ๋žจ๊ณผ ์‚ฌ๋ก€๋ฅผ ํ†ตํ•ด ์ž…์ž ๋ฌผ๋ฆฌํ•™์˜ ๊ต์œก ๋ฐ ํ™๋ณด ํ™œ๋™์˜ ํšจ๊ณผ์„ฑ์„ ๊ฒ€์ฆํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ๋ฏธ๋ž˜ ๊ณผํ•™ ๊ต์œก ๋ฐ ๋Œ€์ค‘ํ™” ๋ฐฉํ–ฅ์„ ์ œ์‹œํ•œ๋‹ค. 1. ๊ณผํ•™์˜ ์•„๋ฆ„๋‹ค์›€ ์ „๋‹ฌ ๋…ผ๋ฌธ์€ ๊ณผํ•™์˜ ์•„๋ฆ„๋‹ค์›€๊ณผ ๊ฒฝ์ด๋กœ์›€์„ ์ „๋‹ฌํ•˜๋Š” ๊ฒƒ์ด ํ•ต์‹ฌ ๋ชฉํ‘œ์ž„์„ ๊ฐ•์กฐํ•œ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด, ๊ณผ๊ฑฐ์™€ ํ˜„์žฌ ์ƒํ™ฉ์— ๋Œ€ํ•œ ์ดํ•ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๋ฏธ๋ž˜ 20๋…„ ๋™์•ˆ ๊ณผํ•™์˜ ์ค‘์š”์„ฑ์„ ๊ฐ•์กฐํ•˜๊ณ  ์žˆ๋‹ค. ํŠน

Physics HEP-PH
A Statistical Significance Simulation Study for the General Scientist

A Statistical Significance Simulation Study for the General Scientist

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  ํ†ต๊ณ„์  ์œ ์˜์„ฑ์€ ๊ณผํ•™์ž๋“ค์ด ์ž์‹ ์˜ ์‹คํ—˜ ๊ฒฐ๊ณผ๋ฅผ ๊ฒ€์ฆํ•˜๋Š” ๋ฐ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋Š”๋ฐ, ์ด๋Š” ๊ด€์ฐฐ๋œ ์ฐจ์ด๊ฐ€ ์šฐ์—ฐํžˆ ๋ฐœ์ƒํ•œ ๊ฒƒ์ผ ๊ฐ€๋Šฅ์„ฑ์ด ๋งค์šฐ ๋‚ฎ๋‹ค๋Š” ๊ฒƒ์„ ์˜๋ฏธํ•œ๋‹ค. ์ผ๋ฐ˜์ ์œผ๋กœ p ๊ฐ’์ด 0.05 ๋ฏธ๋งŒ์ธ ๊ฒฝ์šฐ ํ†ต๊ณ„์  ์œ ์˜์„ฑ์„ ์ธ์ •ํ•œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋ณธ ๋…ผ๋ฌธ์€ ํ‘œ๋ณธ ์ˆ˜๊ฐ€ ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ๋‘ ๊ทธ๋ฃน ๊ฐ„์˜ ์ฐจ์ด๊ฐ€ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•˜๊ฒŒ ์ž‘์•„์ง€๋Š” ํ˜„์ƒ์„ ๋ถ„์„ํ•˜๊ณ , ์ด๋กœ ์ธํ•ด p ๊ฐ’ ์ž„๊ณ„์น˜(p<0.05)๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๊ฒƒ์ด ๊ณผํ•™์ž๋“ค์—๊ฒŒ ๋งค์šฐ ๋‚ฎ์€ ๊ธฐ์ค€์„ ์„ค์ •ํ•œ๋‹ค๋Š” ๊ฒƒ์„ ์ง€์ ํ•œ๋‹ค. 2. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋‘ ์ƒ˜ํ”Œ t ๊ฒ€์ •์„ ์‚ฌ์šฉํ•˜์—ฌ

Statistics Applications Physics
Astrophysical consequences of the OPERA superluminal neutrino

Astrophysical consequences of the OPERA superluminal neutrino

: OPERA ์‹คํ—˜์€ ์ค‘์„ฑ๋ฏธ์ž๊ฐ€ ๋น›๋ณด๋‹ค ๋” ๋น ๋ฅด๊ฒŒ ์ด๋™ํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒฐ๊ณผ๋ฅผ ๋ฐœํ‘œํ•˜๋ฉด์„œ ๊ณผํ•™๊ณ„์— ํฐ ์ถฉ๊ฒฉ์„ ์ฃผ์—ˆ๋‹ค. ์ด๋Š” ๋กœ๋ Œ์ธ  ๋Œ€์นญ์„ฑ ์œ„๋ฐ˜(LSV)์˜ ๊ฐ€๋Šฅ์„ฑ์„ ์‹œ์‚ฌํ•˜๋ฉฐ, ๊ธฐ์กด ๋ฌผ๋ฆฌํ•™ ์›์น™๊ณผ ์ƒ์ถฉ๋˜๋Š” ๊ฒฐ๊ณผ๋กœ ์ธํ•ด ๋งŽ์€ ๋…ผ๋ž€์ด ์ผ์–ด๋‚ฌ๋‹ค. 1. ์ค‘์„ฑ๋ฏธ์ž์˜ ์ดˆ๊ด‘์† ์‹ ํ˜ธ์™€ ์ฒœ์ฒด๋ฌผ๋ฆฌํ•™์  ์ œ์•ฝ OPERA ์‹คํ—˜์—์„œ ๊ด€์ฐฐ๋œ ์ค‘์„ฑ๋ฏธ์ž ์‹ ํ˜ธ๋Š” ๋น›์˜ ์†๋„๋ณด๋‹ค ์•ฝ๊ฐ„ ๋” ๋น ๋ฅด๊ฒŒ ์ด๋™ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋Š” ์ง„๊ณต์—์„œ ์ค‘์„ฑ๋ฏธ์ž์˜ ๋น„ํŒ์†์ด ๋น›์˜ ์†๋ ฅ๋ณด๋‹ค ํฌ๋‹ค๋Š” ๊ฒƒ์„ ์˜๋ฏธํ•œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, ์ด ๊ฒฐ๊ณผ๋Š” ์ฒœ์ฒด๋ฌผ๋ฆฌํ•™์  ๊ด€์ธก๊ณผ ์ƒ์ถฉ๋˜๋Š” ๋ฌธ์ œ๋ฅผ ์•ผ๊ธฐํ•œ๋‹ค. ํŠนํžˆ,

HEP-PH Astrophysics Physics
Towards an interoperable information infrastructure providing decision   support for genomic medicine

Towards an interoperable information infrastructure providing decision support for genomic medicine

๋ณธ ๋…ผ๋ฌธ์€ ๊ฐœ์ธ ๋งž์ถคํ˜• ์˜๋ฃŒ๋ฅผ ์‹คํ˜„ํ•˜๊ธฐ ์œ„ํ•œ ์œ ์ „์ฒด ๋ฐ์ดํ„ฐ ํ†ตํ•ฉ๊ณผ ์˜์‚ฌ๊ฒฐ์ • ์ง€์› ์‹œ์Šคํ…œ ๊ฐœ๋ฐœ์— ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ๋‹ค. ์ด๋Š” ์˜ํ•™ ๋ถ„์•ผ์—์„œ ์ƒˆ๋กœ์šด ์น˜๋ฃŒ๋ฒ•์„ ๊ฐœ๋ฐœํ•˜๊ณ , ์งˆ๋ณ‘ ๊ฐœ๋…๊ณผ ์น˜๋ฃŒ ๋ฐฉ๋ฒ•์— ๋Œ€ํ•œ ๊ทผ๋ณธ์ ์ธ ๋ณ€ํ™”๊ฐ€ ํ•„์š”ํ•จ์„ ๊ฐ•์กฐํ•œ๋‹ค. ๊ฐœ์ธ ๋งž์ถคํ˜• ์˜๋ฃŒ์˜ ํ•ต์‹ฌ์€ ํ™˜์ž์˜ ์œ ์ „์  ๋ฐฐ๊ฒฝ๊ณผ ์ƒ๋ฆฌ์  ์ง€ํ‘œ๋ฅผ ๊ณ ๋ คํ•œ ์„ธ๋ฐ€ํ•˜๊ฒŒ ์กฐ์ •๋œ ์ฆ๊ฑฐ ๊ธฐ๋ฐ˜ ์˜์‚ฌ๊ฒฐ์ •์ด๋‹ค. ์œ ์ „์ฒด ์˜ํ•™์ด ๊ฐœ์ธ ๋งž์ถคํ˜• ์˜๋ฃŒ์—์„œ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋Š” ์ด์œ ๋Š” ์•ฝ๋ฌผ ๋ฐ˜์‘์— ๋Œ€ํ•œ ์œ ์ „์  ์š”์ธ์˜ ์ค‘์š”์„ฑ ๋•Œ๋ฌธ์ด๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด๋Ÿฌํ•œ ์ •๋ณด๊ฐ€ ์‹ค์ œ ์ž„์ƒ ์‹ค๋ฌด์— ํ†ตํ•ฉ๋˜๋Š” ๊ฒƒ์€ ์—ฌ์ „ํžˆ ์ œํ•œ์ ์ด๋ฉฐ, ์˜์‚ฌ๋“ค์˜ ๊ต

Other CS Computer Science
Direct strain and slope measurement using 2D DSPSI Title

Direct strain and slope measurement using 2D DSPSI Title

๋ณธ ๋…ผ๋ฌธ์€ ๋””์ง€ํ„ธ ์ŠคํŽ  ํŒจํ„ด ์…ฐ์–ด๋ง ๊ฐ„์„ญ๊ณ„(DSPSI)๋ฅผ ์ด์šฉํ•œ ์‘๋ ฅ ๋ฐ ๊ฒฝ์‚ฌ ์ธก์ •์— ๋Œ€ํ•œ ์‹ฌ๋„ ์žˆ๋Š” ๋ถ„์„์„ ์ œ๊ณตํ•œ๋‹ค. DSPSI๋Š” ๊ด‘ํ•™ ์ „์ฒด ํ•„๋“œ ๊ธฐ์ˆ (OFFT)์˜ ํ•œ ํ˜•ํƒœ๋กœ, ๋น›์˜ ๊ฐ„์„ญ ๋ฌด๋Šฌ๋ฅผ ํ†ตํ•ด ๋ฌผ์ฒด์˜ ๋ฏธ์„ธํ•œ ๋ณ€ํ˜•์„ ๊ฐ์ง€ํ•˜๊ณ  ์ด๋ฅผ ์‘๋ ฅ๊ณผ ๊ฒฝ์‚ฌ๋กœ ํ•ด์„ํ•˜๋Š” ๋ฐฉ๋ฒ•์ด๋‹ค. 1. ๊ธฐ์ˆ ์  ๋ฐฐ๊ฒฝ ๋ฐ ์ค‘์š”์„ฑ ๋ณธ ๋…ผ๋ฌธ์€ DSPSI๊ฐ€ ๊ธฐ๊ณ„๊ณตํ•™ ๋ถ„์•ผ์—์„œ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋Š” ์ด์œ ๋ฅผ ์„ค๋ช…ํ•œ๋‹ค. ํŠนํžˆ, DSPSI๋Š” ์ „ํ†ต์ ์ธ ํ‰๋ฉด ๋ณ€์œ„ ๊ฐ์ง€ ๊ฐ„์„ญ๊ณ„์™€ ๋น„๊ตํ•˜์—ฌ ๋‹จ ํ•˜๋‚˜์˜ ์–ธ๋žฉ๋œ ์œ„์ƒ ์ง€๋„๋งŒ์œผ๋กœ ๊ตฌ๋ถ€๋Ÿฌ์ง ์‘๋ ฅ์„ ์–ป์„ ์ˆ˜ ์žˆ๋Š” ์žฅ์ ์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค. ์ด๋Š” ๋…ธ์ด

Physics
Obscuring Supersoft X-ray Sources in Stellar Winds

Obscuring Supersoft X-ray Sources in Stellar Winds

: ๋ณธ ์—ฐ๊ตฌ๋Š” ๋ฐฑ์ƒ‰์™œ์„ฑ์ด ๋™๋ฐ˜์„ฑ ๋ณ„๋กœ๋ถ€ํ„ฐ ๋ฌผ์งˆ์„ ์ƒ์‹คํ•˜๋Š” ๊ฒฝ์šฐ, ๊ทธ ๊ณผ์ •์—์„œ ํ˜•์„ฑ๋œ ๊ตฌํ˜• ๋ถ„ํฌ๊ฐ€ SSS๋ฅผ ๊ฐ€๋ฆฌ๊ฒŒ ๋˜์–ด X์„  ๊ด€์ธก์ด ์–ด๋ ต๋‹ค๋Š” ์ ์— ์ฃผ๋ชฉํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ์˜ ํ•ต์‹ฌ์€ ๊ฑฐ๋Œ€ํ•œ ๋ฐฑ์ƒ‰์™œ์„ฑ์ด ๋™๋ฐ˜์„ฑ ๋ณ„๋กœ๋ถ€ํ„ฐ ๋ฌผ์งˆ์„ ์ƒ์‹คํ•˜๋Š” ๊ฒฝ์šฐ, ๊ทธ ๊ณผ์ •์—์„œ ํ˜•์„ฑ๋œ ๊ตฌํ˜• ๋ถ„ํฌ๊ฐ€ SSS๋ฅผ ๊ฐ€๋ฆฌ๊ฒŒ ๋˜์–ด X์„  ๊ด€์ธก์ด ์–ด๋ ต๋‹ค๋Š” ์ ์— ์ฃผ๋ชฉํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. 1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ฌธ์ œ ์ œ๊ธฐ ๋ฐฑ์ƒ‰์™œ์„ฑ๊ณผ SSS์˜ ์—ฐ๊ด€์„ฑ : ๋ฐฑ์ƒ‰์™œ์„ฑ์ด ๋™๋ฐ˜์„ฑ ๋ณ„๋กœ๋ถ€ํ„ฐ ๋ฌผ์งˆ์„ ์ถ•์ ํ•˜๋ฉฐ, ๋ช…๋ชฉ์ƒ ์—ฐ์†Œ์œจ์„ ์œ ์ง€ํ•˜๋ฉด์„œ ์ดˆ๊ณ ์˜จ X์„ (SSS) ์ŠคํŽ™ํŠธ๋Ÿผ์„ ๋ฐฉ์ถœํ•˜๋Š” ํ˜„์ƒ์„ ํƒ๊ตฌํ•˜์˜€์Šต๋‹ˆ๋‹ค.

Astrophysics
Correlation energy of anisotropic quantum dots

Correlation energy of anisotropic quantum dots

: ๋ณธ ๋…ผ๋ฌธ์€ ๊ณ ๋ฐ€๋„ ํ•œ๊ณ„์—์„œ์˜ ๋น„๋Œ€์นญ ์–‘์ž ์ ์˜ ์ „์ž ์ƒ๊ด€ ๊ด€๊ณ„๋ฅผ ์—ฐ๊ตฌํ•˜๋ฉฐ, ํŠนํžˆ ๋ฐฉํ–ฅ์„ฑ์— ๋”ฐ๋ฅธ ์ƒ๊ด€ ์—๋„ˆ์ง€์˜ ๋ณ€ํ™”๋ฅผ ๋ถ„์„ํ•˜๊ณ  ์žˆ๋‹ค. ์ด๋Š” ์–‘์ž ๋ฌผ๋ฆฌํ•™์—์„œ ์ค‘์š”ํ•œ ๋ฌธ์ œ ์ค‘ ํ•˜๋‚˜๋กœ, ๋‘ ์ „์ž์˜ ์ƒํ˜ธ์ž‘์šฉ๊ณผ ๊ทธ์— ๋”ฐ๋ฅธ ์‹œ์Šคํ…œ์˜ ์—๋„ˆ์ง€๋ฅผ ์ดํ•ดํ•˜๋Š” ๋ฐ ํ•ต์‹ฌ์ ์ธ ์—ญํ• ์„ ํ•œ๋‹ค. 1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ์ค‘์š”์„ฑ ์–‘์ž ์ ์€ ์ข…์ข… ํ•˜๋ชจ๋‹‰ ์ž ์žฌ๋ ฅ๊ณผ ์ฟ ์šธ๋กฌ ๋ฐ˜๋ฐœ๋กœ ๋ชจ๋ธ๋ง๋˜๋ฉฐ, ์ด๋Š” ์‹คํ—˜ ์กฐ๊ฑด์— ๋”ฐ๋ผ ์ „์ž๊ฐ€ 1์ฐจ์›์ ์œผ๋กœ ๊ฐ•ํ•˜๊ฒŒ ๊ตฌ๊ธˆ๋˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ๋งŽ๋‹ค. ์ด๋Ÿฌํ•œ ์‹œ์Šคํ…œ์˜ ์—๋„ˆ์ง€ ๋ถ„์„์€ ๊ตํ™˜ ์ƒ๊ด€ ๋ฐ€๋„ ํ•จ์ˆ˜ ์ด๋ก (DFT) ๊ฐœ๋ฐœ์— ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋ฉฐ, ํŠนํžˆ ๊ณ ๋ฐ€๋„ ํ•œ

Physics Condensed Matter
On the average of inconsistent data

On the average of inconsistent data

์ด ๋…ผ๋ฌธ์€ ๊ฐ€์šฐ์Šค ๋งˆ์ฝ”ํ”„ ์ •๋ฆฌ(Gauss Markov Theorem)๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ, ์ผ๊ด€๋˜์ง€ ์•Š์€ ์ธก์ • ๋ฐ์ดํ„ฐ์—์„œ ์ตœ์ ์˜ ์ถ”์ •์น˜๋ฅผ ์ฐพ๋Š” ๋ฐฉ๋ฒ•์— ๋Œ€ํ•ด ๊นŠ๊ฒŒ ํƒ๊ตฌํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ํŠนํžˆ ํ”Œ๋ž‘ํฌ ์ƒ์ˆ˜(h) ๊ฐ’์„ ์˜ˆ์‹œ๋กœ ๋“ค์–ด, ๋ถˆ์ผ์น˜ ๋ฐ์ดํ„ฐ์—์„œ ์ตœ์ ์˜ ์ธก์ •๊ฐ’์„ ์„ ํƒํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์„ค๋ช…ํ•ฉ๋‹ˆ๋‹ค. ๊ฐ€์šฐ์Šค ๋งˆ์ฝ”ํ”„ ์ •๋ฆฌ์™€ ๊ทธ ํ•œ๊ณ„ ๊ฐ€์šฐ์Šค ๋งˆ์ฝ”ํ”„ ์ •๋ฆฌ๋Š” ์ผ์ •ํ•œ ๊ฐ’์˜ ์ธก์ •๊ฐ’๊ณผ ๊ด€๋ จ๋œ ๋ถˆํ™•์‹ค์„ฑ์„ ์ฃผ์–ด์ง„ ๊ฒฝ์šฐ, ํŽธํ–ฅ์ด ์—†๋Š” ์ตœ์†Œ ๋ถ„์‚ฐ ์ถ”์ •์น˜๋Š” ๊ฐ€์ค‘ ํ‰๊ท ์ด๋ผ๋Š” ๊ฒƒ์„ ๋ช…์‹œํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์‹ค์ œ ๋ฐ์ดํ„ฐ์—์„œ๋Š” ์ด ๊ฐ€์ •์ด ์ž์ฃผ ํ‹€๋ฆฌ๋ฉฐ, ฯ‡ยฒ ๋˜๋Š” ๋ฒ„์ง€ ๋น„์œจ(Bir

Physics Data
Size Effect of Diagonal Random Matrices

Size Effect of Diagonal Random Matrices

1. ๋ฌด์ž‘์œ„ ํ–‰๋ ฌ ์ด๋ก ์˜ ๋ฐฐ๊ฒฝ ๋ฌด์ž‘์œ„ ํ–‰๋ ฌ ์ด๋ก ์€ ํ˜ผ๋ž€์Šค๋Ÿฌ์šด ์–‘์ž ์‹œ์Šคํ…œ์˜ ์ŠคํŽ™ํŠธ๋Ÿผ ํ†ต๊ณ„์  ํŠน์„ฑ์„ ์„ค๋ช…ํ•˜๋Š” ์ค‘์š”ํ•œ ๋„๊ตฌ์ด๋‹ค. ํŠนํžˆ, ์‹œ๊ฐ„ ๋ฐ˜์ „ ๋ถˆ๋ณ€ ์–‘์ž ์‹œ์Šคํ…œ์€ ํšŒ์ „ ๋Œ€์นญ์„ ๊ฐ€์งˆ ๋•Œ ๊ฐ€์šฐ์Šค ์ง๊ต ์ง‘ํ•ฉ(GOE)์˜ ๋ฌด์ž‘์œ„ ํ–‰๋ ฌ๋กœ ํ‘œํ˜„๋œ๋‹ค. ์ด๋Š” ํ˜ผ๋ž€์Šค๋Ÿฌ์šด ์‹œ์Šคํ…œ์—์„œ ์ˆ˜์ค€ ์ƒ๊ด€ ๊ด€๊ณ„๋ฅผ ์„ค๋ช…ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋˜๋ฉฐ, N์ด ๋ฌดํ•œ๋Œ€๋กœ ์ ‘๊ทผํ•  ๋•Œ ๊ฐ€์žฅ ํฅ๋ฏธ๋กœ์šด ๊ฒฐ๊ณผ๊ฐ€ ์–ป์–ด์ง„๋‹ค. 2. ๋Œ€๊ฐ ๋ฌด์ž‘์œ„ ํ–‰๋ ฌ์˜ ํŠน์„ฑ ๋…ผ๋ฌธ์€ N์ฐจ์› ๋Œ€๊ฐ ๋ฌด์ž‘์œ„ ํ–‰๋ ฌ์˜ ๊ณ ์œ ๊ฐ’ ํ†ต๊ณ„ํ•™์„ ๋ถ„์„ํ•œ๋‹ค. ํŠนํžˆ, ์ˆ˜์ค€ ๊ฐ„ ๊ฐ„๊ฒฉ(NNS) ๋ถ„ํฌ์™€ ๋ถ„์‚ฐ ฮฃยฒ๋ฅผ ํ†ตํ•ด ๋‹จ๊ธฐ ๋ฐ ์žฅ๊ธฐ ์ƒ๊ด€ ๊ด€๊ณ„๋ฅผ

Nonlinear Sciences Condensed Matter
Transfinite Sequences of Continuous and Baire Class 1 Functions

Transfinite Sequences of Continuous and Baire Class 1 Functions

๋ณธ ๋…ผ๋ฌธ์€ ์—ฐ์† ํ•จ์ˆ˜์™€ ๋ฐ”์ด์–ด ํด๋ž˜์Šค 1 ํ•จ์ˆ˜์˜ ์ˆœ์„œ ์œ ํ˜•์— ๋Œ€ํ•œ ์‹ฌ๋„ ์žˆ๋Š” ๋ถ„์„์„ ์ œ๊ณตํ•˜๋ฉฐ, ํŠนํžˆ ์ด๋Ÿฌํ•œ ํ•จ์ˆ˜๋“ค์˜ ์ฆ๊ฐ€ ๋˜๋Š” ๊ฐ์†Œํ•˜๋Š” ์ž˜ ์ •๋ ฌ๋œ ์‹œํ€€์Šค์˜ ๊ธธ์ด๋ฅผ ์กฐ์‚ฌํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๊ธฐ์กด์˜ ๊ณ ์ „์ ์ธ ๊ฒฐ๊ณผ๋ฅผ ํ™•์žฅํ•˜๊ณ , ๋ฉ”ํŠธ๋ฆญ ๊ณต๊ฐ„์—์„œ ๋ฐ”์ด์–ด ํด๋ž˜์Šค 1 ํ•จ์ˆ˜์˜ ์‚ฌ์Šฌ์— ๋Œ€ํ•œ ์ƒˆ๋กœ์šด ๊ด€์ ์„ ์ œ์‹œํ•œ๋‹ค. ์—ฐ์† ํ•จ์ˆ˜์™€ ๋ฐ”์ด์–ด ํด๋ž˜์Šค 1 ํ•จ์ˆ˜์˜ ์ˆœ์„œ ์œ ํ˜• ๋…ผ๋ฌธ์€ ๋จผ์ € ํด๋ž€๋“œ ๊ณต๊ฐ„์—์„œ ์—ฐ์† ํ•จ์ˆ˜์™€ ๋ฐ”์ด์–ด ํด๋ž˜์Šค 1 ํ•จ์ˆ˜์˜ ์‹œํ€€์Šค๋ฅผ ๋ถ„์„ํ•œ๋‹ค. ์ด๋Š” ๊ณ ์ „์ ์ธ ๊ฒฐ๊ณผ์ธ Kuratowski์˜ ์ •๋ฆฌ์— ๊ธฐ๋ฐ˜ํ•˜๋ฉฐ, ๋ฐ”์ด์–ด ํด๋ž˜์Šค 1 ํ•จ์ˆ˜์˜ ๋ชจ๋…ธํ†ค ์‹œํ€€์Šค์˜ ๊ธธ์ด

Mathematics
Viva the h-index

Viva the h-index

: ์ด ๋…ผ๋ฌธ์€ h ์ธ๋ฑ์Šค๋ฅผ ๋ถ„์„ํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ๊ณผํ•™์ž์˜ ์ƒ์‚ฐ๋Ÿ‰(p)๊ณผ ํ’ˆ์งˆ(q) ๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ํƒ์ƒ‰ํ•˜๋Š” ๋ฐ ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ๋‹ค. ์ €์ž๋Š” h ์ธ๋ฑ์Šค๊ฐ€ ๊ฒฐ๊ตญ ํ’ˆ์งˆ์— ์˜ํ•ด ๊ฒฐ์ •๋œ๋‹ค๋Š” 'h ์ธ๋ฑ์Šค ๋ฒ•์น™'์„ ์ œ์‹œํ•˜๋ฉฐ, ์ด๋Š” ์ดˆ๊ธฐ์—๋Š” ์ƒ์‚ฐ๋Ÿ‰์ด h ์ธ๋ฑ์Šค๋ฅผ ์ฃผ๋„ํ•˜์ง€๋งŒ ์‹œ๊ฐ„์ด ์ง€๋‚˜๋ฉด์„œ ํ’ˆ์งˆ์ด ๊ทธ ์œ„์น˜๋ฅผ ์ฐจ์ง€ํ•œ๋‹ค๋Š” ๋‚ด์šฉ์ด๋‹ค. ์ด๋Ÿฌํ•œ ๊ด€์ ์€ ๊ณผํ•™์ž๋“ค์˜ ์„ฑ๊ณผ ํ‰๊ฐ€์— ์žˆ์–ด ๋‹จ์ˆœํ•œ ์ถœํŒ๋ฌผ ์ˆ˜๋ณด๋‹ค๋Š” ์—ฐ๊ตฌ์˜ ์งˆ์  ์ธก๋ฉด์„ ๋” ์ค‘์š”ํ•˜๊ฒŒ ์—ฌ๊ฒจ์•ผ ํ•จ์„ ์‹œ์‚ฌํ•œ๋‹ค. ๋…ผ๋ฌธ์—์„œ ์ œ์‹œ๋œ h ์ธ๋ฑ์Šค ๋ฒ•์น™์€ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๋‘ ๊ฐ€์ง€ ์ฃผ์š” ์ƒํ™ฉ์„ ๊ณ ๋ คํ•œ๋‹ค. ์ฒซ์งธ, ์ €์ž์˜ ์ƒ์‚ฐ๋Ÿ‰์ด ๊ทธ

Physics Digital Libraries Computer Science
Interferometric Observations of Geosynchronous Satellites

Interferometric Observations of Geosynchronous Satellites

๋ณธ ๋…ผ๋ฌธ์€ ์ธ๋„ ์šฐ์ฃผ ์—ฐ๊ตฌ ๊ธฐ๊ด€(ISRO)์˜ ์ง€๋™ ์œ„์„ฑ์— ๋Œ€ํ•œ ๊ฐ„์„ญ ์ธก์ • ์‹œ์Šคํ…œ์„ ๊ฐœ๋ฐœํ•˜๊ณ  ๊ทธ ๊ฒฐ๊ณผ๋ฅผ ๋ถ„์„ํ•˜๋Š” ๋‚ด์šฉ์œผ๋กœ ๊ตฌ์„ฑ๋˜์–ด ์žˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ISRO๊ฐ€ ํ–ฅํ›„ ๋ช‡ ๋…„ ๋‚ด์— ์ตœ์†Œ 9๊ฐœ์˜ ์ง€๋™ ์œ„์„ฑ์„ ๋ฐœ์‚ฌํ•  ๊ณ„ํš์ด๋ผ๋Š” ๋งฅ๋ฝ์—์„œ ์ง„ํ–‰๋˜์—ˆ์œผ๋ฉฐ, ์ด๋Ÿฌํ•œ ์œ„์„ฑ๋“ค์€ ์ฃผํŒŒ์ˆ˜ ๋™๊ธฐํ™”๋œ ํ•ญ๋ฒ• ํŽ˜์ด๋กœ๋“œ๋ฅผ ํƒ‘์žฌํ•˜๊ณ  ์žˆ๋‹ค. ์ฒซ ๋ฒˆ์งธ ์œ„์„ฑ์ธ GSAT 8์€ GAGAN ํ”„๋กœ์ ํŠธ์˜ ์ผํ™˜์œผ๋กœ WAAS ๋ฉ”์‹œ์ง€๋ฅผ ๋ฐฉ์†กํ•˜๋ฉฐ, ๋‘ ๋ฒˆ์งธ ์œ„์„ฑ์—๋Š” GAGAN ํŽ˜์ด๋กœ๋“œ๊ฐ€ ํƒ‘์žฌ๋˜์–ด 2012๋…„ ์ดˆ ๋ฐœ์‚ฌ๋  ์˜ˆ์ •์ด๋‹ค. ์ด๋“ค ์œ„์„ฑ๋“ค์€ ์ธ๋„ ์•„๋Œ€๋ฅ™์—์„œ ์ง€์†์ ์ธ ๊ฐ€์‹œ์„ฑ์„ ํ™•๋ณดํ•˜๊ณ  ๋ผ๋””

Physics
VOGCLUSTERS: an example of DAME web application

VOGCLUSTERS: an example of DAME web application

VOGCLUSTERS ํ”„๋กœ์ ํŠธ๋Š” ์ฒœ๋ฌธํ•™ ์—ฐ๊ตฌ์—์„œ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋Š” ์€ํ•˜ ๊ตฌ๋ฆ„ ํด๋Ÿฌ์Šคํ„ฐ(GC) ๋ฐ์ดํ„ฐ๋ฅผ ํ†ตํ•ฉํ•˜๊ณ  ๋ถ„์„ํ•˜๋Š” ๋ฐ ์ดˆ์ ์„ ๋งž์ถ˜ ์›น ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์ž…๋‹ˆ๋‹ค. ์ด ๋…ผ๋ฌธ์€ VOGCLUSTERS์˜ ๊ฐœ๋ฐœ ๋ฐฐ๊ฒฝ, ๊ธฐ์ˆ ์  ๊ตฌ์„ฑ ์š”์†Œ, ๊ทธ๋ฆฌ๊ณ  ๋ฏธ๋ž˜ ๋ฐœ์ „ ๋ฐฉํ–ฅ์— ๋Œ€ํ•ด ์ƒ์„ธํžˆ ์„ค๋ช…ํ•ฉ๋‹ˆ๋‹ค. 1. ๊ฐœ๋ฐœ ๋ฐฐ๊ฒฝ ์€ํ•˜ ํƒ์‚ฌ ๋„๊ตฌ์˜ ๋ฐœ์ „๊ณผ ํ•จ๊ป˜ ์€ํ•˜ ๋‚ด ๊ตฌ๋ฆ„ ํด๋Ÿฌ์Šคํ„ฐ(GC)์— ๋Œ€ํ•œ ๋ฐ์ดํ„ฐ ์–‘์ด ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ฐ์ดํ„ฐ๋Š” ์ฒœ๋ฌธํ•™ ์—ฐ๊ตฌ์—์„œ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋ฉฐ, ํŠนํžˆ ์€ํ•˜ ์ƒํƒœ์™€ ์ง„ํ™”๋ฅผ ์ดํ•ดํ•˜๋Š” ๋ฐ ์ค‘์š”ํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ํ˜„์žฌ ์ด๋Ÿฌํ•œ ์ •๋ณด๋Š” ๋‹ค์–‘ํ•œ ๋…ผ๋ฌธ๊ณผ

Databases Computer Science Astrophysics
Okuns law revisited. Is there structural unemployment in developed   countries?

Okuns law revisited. Is there structural unemployment in developed countries?

: ์ด ๋…ผ๋ฌธ์€ ์˜ค์ฟค์˜ ๋ฒ•์น™์„ ํ†ตํ•ด ์„ ์ง„๊ตญ๋“ค์˜ ์‹ค์—… ๋ฌธ์ œ๋ฅผ ๋ถ„์„ํ•˜๊ณ  ์žˆ๋‹ค. ์˜ค์ฟค์˜ ๋ฒ•์น™์€ GDP ์„ฑ์žฅ๋ฅ ๊ณผ ์‹ค์—…๋ฅ  ๊ฐ„์˜ ๋ถ€์ •์ ์ธ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ์„ค๋ช…ํ•˜๋Š” ๋ชจ๋ธ๋กœ, ์ด ์—ฐ๊ตฌ์—์„œ๋Š” ํŠนํžˆ ์‹ค์งˆ GDP 1์ธ๋‹น ์„ฑ์žฅ๋ฅ ์— ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ๋‹ค. ์ฃผ์š” ๋‚ด์šฉ ๋ฐ ๋ถ„์„ 1. ์˜ค์ฟค์˜ ๋ฒ•์น™ ์žฌ๊ฒ€ํ†  : ๋…ผ๋ฌธ์€ ์˜ค์ฟค์˜ ๋ฒ•์น™์„ ์‚ฌ์šฉํ•˜์—ฌ ์„ ์ง„๊ตญ๋“ค์˜ ์‹ค์—… ๋ฌธ์ œ๋ฅผ ์žฌ๊ฒ€ํ† ํ•œ๋‹ค. ์ด๋Š” GDP ์„ฑ์žฅ๋ฅ ๊ณผ ์‹ค์—…๋ฅ  ๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ํ†ตํ•ด ์‹ค์—… ๋™์—ญํ•™์„ ์ดํ•ดํ•˜๋ ค๋Š” ์‹œ๋„์ด๋‹ค. 2. ๊ตฌ์กฐ์  ์ค‘๋‹จ์  ๋„์ž… : ๋…ผ๋ฌธ์€ ๊ฐ ๊ตญ๊ฐ€๋ณ„๋กœ ๊ตฌ์กฐ์  ์ค‘๋‹จ์ ์„ ๋„์ž…ํ•˜์—ฌ ์˜ค๋žœ ๊ธฐ๊ฐ„์— ๊ฑธ์นœ ๋ฐ์ดํ„ฐ๋ฅผ ๋ถ„์„ํ•œ๋‹ค. ์˜ˆ๋ฅผ

Quantitative Finance
VC dimension of ellipsoids

VC dimension of ellipsoids

: ๋ณธ ๋…ผ๋ฌธ์€ ์—˜๋ฆฝ์†Œ์ด๋“œ์˜ ๋ณต์žก์„ฑ์„ ์ธก์ •ํ•˜๋Š” VC ์ฐจ์›์— ๋Œ€ํ•œ ์‹ฌ์ธต์ ์ธ ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•œ๋‹ค. ์ด๋Š” ํ•™์Šต ์ด๋ก ์—์„œ ์ค‘์š”ํ•œ ๊ฐœ๋…์œผ๋กœ, ๋ฐ์ดํ„ฐ ๋ถ„์„ ๋ฐ ๋ชจ๋ธ ์„ ํƒ์— ํ™œ์šฉ๋œ๋‹ค. 1. VC ์ฐจ์›์˜ ์ •์˜์™€ ์ค‘์š”์„ฑ VC ์ฐจ์›์€ ์ง‘ํ•ฉ์ด ์–ผ๋งˆ๋‚˜ ๋ณต์žกํ•œ ํ˜•ํƒœ๋ฅผ ๊ฐ€์งˆ ์ˆ˜ ์žˆ๋Š”์ง€๋ฅผ ์ธก์ •ํ•˜๋Š” ์ง€ํ‘œ๋กœ, ๊ฒฝํ—˜์  ๊ณผ์ • ์ด๋ก , ํ†ต๊ณ„ ๋ฐ ๊ณ„์‚ฐ ํ•™์Šต ์ด๋ก , ๊ทธ๋ฆฌ๊ณ  ์ด์‚ฐ ๊ธฐํ•˜ํ•™ ๋“ฑ ๋‹ค์–‘ํ•œ ๋ถ„์•ผ์—์„œ ํ™œ์šฉ๋œ๋‹ค. ํŠนํžˆ, VC ์ฐจ์›์€ ๋ฐ์ดํ„ฐ์˜ ๋ณต์žก์„ฑ์„ ์ธก์ •ํ•˜๊ณ  ๋ชจ๋ธ ์„ ํƒ์— ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•œ๋‹ค. 2. ์—˜๋ฆฝ์†Œ์ด๋“œ์™€ ๊ฐ€์šฐ์‹œ์•ˆ ํ˜ผํ•ฉ ๋ชจ๋ธ ์—˜๋ฆฝ์†Œ์ด๋“œ๋Š” d์ฐจ์› ๊ณต๊ฐ„์—์„œ ์ •์˜๋˜๋Š” ์ง‘ํ•ฉ์œผ๋กœ,

Mathematics Statistics Computer Science Machine Learning
Implementing Continuation based language in GCC

Implementing Continuation based language in GCC

: 1. CbC์˜ ์„ค๊ณ„ ๋ชฉํ‘œ์™€ ๋ฐฐ๊ฒฝ CbC๋Š” Continuation Passing Style(CPS)์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ์ƒˆ๋กœ์šด ํ”„๋กœ๊ทธ๋ž˜๋ฐ ์–ธ์–ด๋กœ, GNU C ์ปดํŒŒ์ผ๋Ÿฌ์™€ ๋™์ผํ•œ ์†๋„๋กœ ์‹คํ–‰๋˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•ฉ๋‹ˆ๋‹ค. CPS ๋ณ€ํ™˜์€ ํ•จ์ˆ˜ ํ˜ธ์ถœ์„ ์—ฐ์† ์ „๋‹ฌ ์Šคํƒ€์ผ๋กœ ๋ณ€๊ฒฝํ•˜์—ฌ ์ฝ”๋“œ์˜ ํšจ์œจ์„ฑ์„ ํ–ฅ์ƒ์‹œํ‚ค๋Š” ๊ธฐ๋ฒ•์ž…๋‹ˆ๋‹ค. ์ด ๋…ผ๋ฌธ์—์„œ๋Š” ์ด๋Ÿฌํ•œ CPS ๋ณ€ํ™˜์„ GCC์— ํ†ตํ•ฉํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•˜๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด C์™€ CbC๋ฅผ ํ˜ผํ•ฉ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ์–ธ์–ด์ธ CwC๋ฅผ ์†Œ๊ฐœํ•ฉ๋‹ˆ๋‹ค. 2. CbC์˜ ํ•ต์‹ฌ ํŠน์ง• CbC๋Š” ์ฝ”๋“œ ์„ธ๊ทธ๋จผํŠธ๋ฅผ ๊ธฐ๋ณธ ํ”„๋กœ๊ทธ๋ž˜๋ฐ ๋‹จ์œ„๋กœ ์‚ฌ์šฉํ•˜

Programming Languages Computer Science
Swiss Elections to the National Council: First trials with e-voting in   elections at federal level

Swiss Elections to the National Council: First trials with e-voting in elections at federal level

1. ์ „์žํˆฌํ‘œ ๋„์ž… ๋ฐฐ๊ฒฝ ๋ฐ ์ดˆ๊ธฐ ์‹œ๋„ ์Šค์œ„์Šค๋Š” ์ด๋ฏธ 1994๋…„๋ถ€ํ„ฐ ์šฐํŽธ ํˆฌํ‘œ๋ฅผ ํ†ตํ•ด ์›๊ฒฉ ํˆฌํ‘œ์˜ ๊ธฐ๋ฐ˜์„ ๋งˆ๋ จํ–ˆ๋‹ค. ์ด๋กœ ์ธํ•ด ์ฐธ์—ฌ์œจ์ด ์ฆ๊ฐ€ํ•˜๊ณ , ์•ฝ 90% ์ด์ƒ์˜ ํˆฌํ‘œ๊ฐ€ ์šฐํŽธ์„ ํ†ตํ•ด ์ด๋ฃจ์–ด์ง€๊ฒŒ ๋˜์—ˆ๋‹ค. ์ „์žํˆฌํ‘œ๋Š” ์ด๋Ÿฌํ•œ ์„ฑ๊ณต์ ์ธ ๊ฒฝํ—˜ ์œ„์—์„œ ๊ฐœ๋ฐœ๋˜์—ˆ์œผ๋ฉฐ, ํŠนํžˆ ํ•ด์™ธ ๊ฑฐ์ฃผ ์Šค์œ„์Šค ์œ ๊ถŒ์ž๋ฅผ ์œ„ํ•œ ์ƒˆ๋กœ์šด ํˆฌํ‘œ ์ฑ„๋„๋กœ์„œ ๋„์ž…๋˜์—ˆ๋‹ค. 2000๋…„๋ถ€ํ„ฐ ์ œ๋„ค๋ฐ”, ๋‰ด์ƒคํ…”, ์ทจ๋ฆฌํžˆ ์„ธ ์ฃผ์—์„œ ์ „์žํˆฌํ‘œ ์‹œ๋ฒ” ์šด์˜์ด ์‹œ์ž‘๋˜์—ˆ๋‹ค. ์ด ์ดˆ๊ธฐ ์‹œํ—˜ ๋‹จ๊ณ„์—์„œ๋Š” ์—ฐ๋ฐฉ์ด ๊ฐ ์ฃผ์˜ ์‹œ์Šคํ…œ ๊ฐœ๋ฐœ์— ์ž๊ธˆ์„ ์ง€์›ํ•˜๊ณ  ์กฐ์ • ์—ญํ• ์„ ์ˆ˜ํ–‰ํ–ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์‹œ์Šคํ…œ์€ ์ฃผ ์ •์น˜ ์ฒด์ œ

Computers and Society Computer Science
Bringing the LHC and ATLAS to a regional planetarium

Bringing the LHC and ATLAS to a regional planetarium

: ์ด ๋…ผ๋ฌธ์€ ๋ฏธ์‹œ๊ฐ„ ์ฃผ๋ฆฝ๋Œ€ํ•™๊ต์˜ ์•„๋ธŒ๋žŒ ์ฒœ๋ฌธ๋Œ€๋ฅผ ํ™œ์šฉํ•œ LHC์™€ ATLAS ์‹คํ—˜์˜ ํ™๋ณด ํ”„๋กœ๊ทธ๋žจ์„ ์†Œ๊ฐœํ•ฉ๋‹ˆ๋‹ค. ์ด ํ”„๋กœ๊ทธ๋žจ์€ ๊ณผํ•™ ๊ต์œก๊ณผ ๋Œ€์ค‘ํ™”์— ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋Š” ๋™์‹œ์—, ํ•™์ƒ๋“ค์˜ ์ฐฝ์˜์  ๋Šฅ๋ ฅ๊ณผ ์˜์‚ฌ์†Œํ†ต ๊ธฐ์ˆ ์„ ํ–ฅ์ƒ์‹œํ‚ค๋Š” ๋ฐ ์ค‘์ ์„ ๋‘๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. 1. ์ฒœ๋ฌธ๋Œ€ ํ™œ์šฉ์˜ ์ค‘์š”์„ฑ ์ฒœ๋ฌธ๋Œ€๋Š” ๊ณผํ•™ ๊ต์œก ๋ฐ ํ™๋ณด์— ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•ฉ๋‹ˆ๋‹ค. ์ „ ์„ธ๊ณ„์ ์œผ๋กœ ์ˆ˜์ฒœ ๊ฐœ์˜ ์ฒœ๋ฌธ๋Œ€๊ฐ€ ๋‹ค์–‘ํ•œ ์—ฐ๋ น๊ณผ ๋ฐฐ๊ฒฝ์„ ๊ฐ€์ง„ ์‚ฌ๋žŒ๋“ค์—๊ฒŒ ๊ณผํ•™์  ์ง€์‹์„ ์ œ๊ณตํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๋ฏธ์‹œ๊ฐ„ ์ฃผ๋ฆฝ๋Œ€ํ•™๊ต์˜ ์•„๋ธŒ๋žŒ ์ฒœ๋ฌธ๋Œ€๋Š” ๋งค๋…„ ์•ฝ 35,000๋ช…์˜ ๋ฐฉ๋ฌธ๊ฐ์„ ๋งž์ดํ•˜๋ฉฐ, ์ด๋“ค ์ค‘ ๋งŽ์€ ์ด

Physics HEP-EX
An Efficient Paging Algorithm for Multi-Carrier CDMA System

An Efficient Paging Algorithm for Multi-Carrier CDMA System

: ๋ณธ ๋…ผ๋ฌธ์€ ๋ฌด์„  ํ†ต์‹  ๋„คํŠธ์›Œํฌ์—์„œ ๋ชจ๋ฐ”์ผ ์Šคํ…Œ์ด์…˜(MS)์„ ํšจ๊ณผ์ ์œผ๋กœ ์ถ”์ ํ•˜๊ธฐ ์œ„ํ•œ ์ƒˆ๋กœ์šด ํŽ˜์ด์ง€๋ง(Pageing) ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ œ์•ˆํ•œ๋‹ค. ํŠนํžˆ, ๋‹ค์ค‘ ์บ๋ฆฌ์–ด CDMA ์‹œ์Šคํ…œ์—์„œ MS๋ฅผ ๋™์‹œ์— ๊ฒ€์ƒ‰ํ•  ์ˆ˜ ์žˆ๋Š” ํšจ์œจ์ ์ธ ๋ฐฉ๋ฒ•์„ ํƒ๊ตฌํ•˜๊ณ  ์žˆ๋‹ค. ๊ธฐ์กด ๋ฌธ์ œ์  ๊ธฐ์กด์˜ ๋‹ค์ค‘ ์บ๋ฆฌ์–ด CDMA ์‹œ์Šคํ…œ์—์„œ๋Š” MS๊ฐ€ ํ•œ ๋ฒˆ์— ํ•˜๋‚˜์˜ ์บ๋ฆฌ์–ด ์ฃผํŒŒ์ˆ˜๋งŒ ์ฒญ์ทจํ•  ์ˆ˜ ์žˆ์–ด, ๋ชจ๋“  ์‚ฌ์šฉ์ž๋ฅผ ๋™์‹œ์— ๊ฒ€์ƒ‰ํ•˜๋Š” ๋ฐ ํ•œ๊ณ„๊ฐ€ ์žˆ์—ˆ๋‹ค. ์ด๋กœ ์ธํ•ด ํŽ˜์ด์ง€ ์ฑ„๋„ ์ž์›์ด ๋น„ํšจ์œจ์ ์œผ๋กœ ํ™œ์šฉ๋˜๋Š” ๋ฌธ์ œ๊ฐ€ ๋ฐœ์ƒํ–ˆ๋‹ค. ์ œ์•ˆ๋œ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ๋ณธ ๋…ผ๋ฌธ์€ ์ด๋Ÿฌํ•œ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ๋™์‹œ ๊ฒ€

Networking System Computer Science
Banded Householder representation of linear subspaces

Banded Householder representation of linear subspaces

์ด ๋…ผ๋ฌธ์€ ๋Œ€์šฉ๋Ÿ‰ ํ–‰๋ ฌ์˜ ์••์ถ•๊ณผ ํ‘œํ˜„์— ๋Œ€ํ•œ ์ƒˆ๋กœ์šด ์ ‘๊ทผ๋ฒ•์„ ์ œ์‹œํ•˜๋ฉฐ, ํŠนํžˆ ํ•˜์šฐ์Šคํ™€๋” ๋ถ„ํ•ด๋ฅผ ์ด์šฉํ•œ ๋ฐฉ๋ฒ•๋ก ์„ ๊ฐ•์กฐํ•œ๋‹ค. ์ฃผ์š” ๋‚ด์šฉ์€ ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค: 1. ํ•˜์šฐ์Šคํ™€๋” QR ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ๊ฐœ์š” : ๋…ผ๋ฌธ์€ ๋จผ์ € ํ•˜์šฐ์Šคํ™€๋” QR ์•Œ๊ณ ๋ฆฌ์ฆ˜์ด m ร— n ์ง๊ต ํ–‰๋ ฌ U ๋ฅผ n ๊ฐœ์˜ ํ•˜์šฐ์Šคํ™€๋” ๋ฐ˜์‚ฌ(reflection)์˜ ๊ณฑ์œผ๋กœ ํ‘œํ˜„ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์„ค๋ช…ํ•œ๋‹ค. ์ด๋Š” ์ด n(m (n + 1)/2) ๊ฐœ์˜ ๋ถ€๋™ ์†Œ์ˆ˜์  ์—ฐ์‚ฐ์ด ํ•„์š”ํ•˜๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์‹ค์ œ ์‘์šฉ์—์„œ๋Š” ํ–‰๋ ฌ์˜ ๋ฒ”์œ„๋งŒ ์ค‘์š”ํ•˜๋ฉฐ, ๋™์ผํ•œ ๋ฒ”์œ„๋ฅผ ๊ฐ€์ง€๋Š” ๋‹ค๋ฅธ ์ง๊ต ํ–‰๋ ฌ์€ ๋™๋“ฑํ•˜๋‹ค. 2. ๋ฐด๋“œ ํ•˜์šฐ์Šคํ™€๋” ๋ถ„ํ•ด

Numerical Analysis Computer Science
A Note on the Grothendieck Group of an Additive Category

A Note on the Grothendieck Group of an Additive Category

๋งค๋ ฅ์ ์ธ ํ•œ๊ธ€ ์ œ๋ชฉ: ๊ฐ€์‚ฐ ๋ฒ”์ฃผ์™€ ๊ทธ๋กœํ…๋””ํฌ ๊ทธ๋ฃน์˜ ๋™ํ˜•์„ฑ ์ดˆ๋ก ์ „์ฒด ๋ฒˆ์—ญ ๋ฐ ์ •๋ฆฌ: ๋ณธ ๋…ผ๋ฌธ์€ ๊ฐ€์‚ฐ ๋ฒ”์ฃผ์˜ ์Šคํ”Œ๋ฆฟ ๊ทธ๋กœํ…๋””ํฌ ๊ทธ๋ฃน๊ณผ ํ•ด๋‹น ๋ฒ”์ฃผ์˜ ์œ ํ•œ ๋ณต์žก์ฒด์˜ ํ˜ธ๋ชจํ† ํ”ผ ๋ฒ”์ฃผ์—์„œ์˜ ์‚ผ๊ฐํ™”๋œ ๊ทธ๋กœํ…๋””ํฌ ๊ทธ๋ฃน์ด ๋™ํ˜•์ธ์ง€์— ๋Œ€ํ•œ ์งˆ๋ฌธ์„ ๋‹ค๋ฃฌ๋‹ค. ํŠนํžˆ, ๊ฐ€์‚ฐ ๋ฒ”์ฃผ A์™€ ๊ทธ์˜ ์œ ํ•œ ๋ณต์žก์ฒด์˜ ํ˜ธ๋ชจํ† ํ”ผ ๋ฒ”์ฃผ Kb(A)๋ฅผ ๊ณ ๋ คํ•  ๋•Œ, A์˜ ์Šคํ”Œ๋ฆฟ ๊ทธ๋กœํ…๋””ํฌ ๊ทธ๋ฃน KโŠ•(A)๊ฐ€ Kb(A)์˜ ์‚ผ๊ฐํ™”๋œ ๊ทธ๋กœํ…๋””ํฌ ๊ทธ๋ฃน Kโ–ณ(Kb(A))์™€ ๋™ํ˜•์ธ ๊ฒƒ์„ ์ฆ๋ช…ํ•œ๋‹ค. ์ด๋Š” ํ˜ธ๋ชจํ† ํ”ผ ๋ฒ”์ฃผ์—์„œ์˜ ์—์šธ๋Ÿฌ ํŠน์„ฑ์ด ์›๋ž˜ ๊ตฌ์กฐ๋ฅผ ๋ณต์›ํ•˜๋Š” ๋ฐ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•œ๋‹ค๋Š” ์ ์—์„œ

Mathematics
Discovery of the Expansion of the Universe

Discovery of the Expansion of the Universe

์ด ๋…ผ๋ฌธ์€ ์šฐ์ฃผ ํŒฝ์ฐฝ์˜ ์—ญ์‚ฌ์™€ ๊ทธ ๊ณผ์ •์—์„œ ์—ฌ๋Ÿฌ ์ฒœ๋ฌธํ•™์ž๋“ค์˜ ์—ญํ• ์„ ์ƒ์„ธํžˆ ํƒ๊ตฌํ•˜๋ฉฐ, ํŠนํžˆ ํ—ˆ๋ธ”๊ณผ ํ•˜๋งˆ์†์˜ ์—ฐ๊ตฌ๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ๋‹ค๋ฃฌ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” 1920๋…„๋Œ€ ํ›„๋ฐ˜๋ถ€ํ„ฐ 1930๋…„๋Œ€ ์ดˆ๊นŒ์ง€ ์ˆ˜ํ–‰๋œ ๋‹ค์–‘ํ•œ ๊ด€์ธก๊ณผ ๋ถ„์„์ด ์–ด๋–ป๊ฒŒ ์šฐ์ฃผ ํŒฝ์ฐฝ์— ๋Œ€ํ•œ ์ดํ•ด๋ฅผ ํ˜•์„ฑํ•˜๋Š” ๋ฐ ๊ธฐ์—ฌํ–ˆ๋Š”์ง€๋ฅผ ์‚ดํŽด๋ณธ๋‹ค. ์ดˆ๊ธฐ ํƒ์ƒ‰ ์œ„๋ฅด์ธ ์™€ ๋ฃฌ๋งˆํฌ์˜ ์—ฐ๊ตฌ๊ฐ€ ์†๋„ ๊ฑฐ๋ฆฌ ๊ด€๊ณ„์˜ ์ดˆ๊ธฐ ํƒ์ƒ‰์„ ์ด๋Œ์—ˆ๋‹ค. ์œ„๋ฅด์ธ ๋Š” 1922๋…„๊ณผ 1924๋…„์— ๋‚˜์„  ์€ํ•˜๋“ค์˜ ๋ฐฉ์‚ฌ์„  ์†๋„๋ฅผ ๋ถ„์„ํ•˜์—ฌ, ๊ฑฐ๋ฆฌ๊ฐ€ ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ์ ์ƒ‰ํŽธ์ด๊ฐ€ ์ฆ๊ฐ€ํ•œ๋‹ค๋Š” ์‚ฌ์‹ค์„ ๋ฐœ๊ฒฌํ–ˆ๋‹ค. ๋ฃฌ๋งˆํฌ ์—ญ์‹œ 1925๋…„์— ์ž‘์€ ์„ฑ์šด์ผ์ˆ˜๋ก ๋”

Astrophysics Physics
Tight binding description of the electronic response of a molecular   device to an applied voltage

Tight binding description of the electronic response of a molecular device to an applied voltage

: ๋ณธ ๋…ผ๋ฌธ์€ ๋ถ„์ž๊ฐ€ ์ „์••์— ์–ด๋–ป๊ฒŒ ๋ฐ˜์‘ํ•˜๋Š”์ง€๋ฅผ ์ดํ•ดํ•˜๊ธฐ ์œ„ํ•œ ์ผ๊ด€๋œ TB ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์‹œํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๋ถ„์ž์˜ ์ „์ž ๊ตฌ์กฐ์™€ ์ „์••์— ๋”ฐ๋ฅธ ๋ณ€ํ™”๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ๋Š” ์ค‘์š”ํ•œ ๊ธฐ๋ฐ˜์„ ์ œ๊ณตํ•˜๋ฉฐ, ํŠนํžˆ ๋ถ„์ž ์žฅ์น˜์˜ I(V) ํŠน์„ฑ ์˜ˆ์ธก์—์„œ ํ™œ์šฉ ๊ฐ€๋Šฅ์„ฑ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. 1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  ๋ถ„์ž ์ „์ž ๊ณตํ•™์€ ๋‹จ์ผ ๋ถ„์ž์˜ ์šด๋ฐ˜ ํŠน์„ฑ์„ ์ดํ•ดํ•˜๊ณ  ์ด๋ฅผ ํ™œ์šฉํ•˜๋Š” ํ•ต์‹ฌ ๋ถ„์•ผ์ž…๋‹ˆ๋‹ค. ์ด์ „์— ์ˆ˜ํ–‰๋œ ์—ฐ๊ตฌ๋“ค์€ ์ฃผ๋กœ TB ๋˜๋Š” ๋น„์ •์•ฝ ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ถ„์ž์˜ ์ „์ž ๊ตฌ์กฐ๋ฅผ ๊ณ„์‚ฐํ•˜์˜€์œผ๋‚˜, ์ด๋Ÿฌํ•œ ์ ‘๊ทผ๋ฒ•๋“ค์€ ๋ณต์žกํ•œ ์‹œ์Šคํ…œ์—์„œ์˜ ์ ์šฉ์ด ์–ด๋ ค์› ์Šต๋‹ˆ๋‹ค.

Physics
Complexity of Bondage and Reinforcement

Complexity of Bondage and Reinforcement

๋ณธ ๋…ผ๋ฌธ์€ ์ง€๋ฐฐ ์ง‘ํ•ฉ๊ณผ ๊ด€๋ จ๋œ ์—ฌ๋Ÿฌ ๋งค๊ฐœ๋ณ€์ˆ˜, ํŠนํžˆ ๊ฒฐํ•ฉ ์ˆซ์ž์™€ ๊ฐ•ํ™” ์ˆซ์ž์˜ ๋ณต์žก์„ฑ์„ ๋ถ„์„ํ•˜๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฐœ๋…๋“ค์€ ๊ทธ๋ž˜ํ”„ ์ด๋ก ์—์„œ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋ฉฐ, ํŠนํžˆ NP ์™„์ „์„ฑ ๋ฌธ์ œ์— ๋Œ€ํ•œ ์ดํ•ด๋ฅผ ๊นŠ๊ฒŒ ํ•œ๋‹ค. 1. ์ง€๋ฐฐ ์ง‘ํ•ฉ๊ณผ ๊ด€๋ จ ๋งค๊ฐœ๋ณ€์ˆ˜ ์ง€๋ฐฐ ์ง‘ํ•ฉ์€ ๊ทธ๋ž˜ํ”„ G (V, E)์˜ ๋ชจ๋“  ๊ผญ์ง“์ ์ด ํ•ด๋‹น ์ง‘ํ•ฉ ๋‚ด์˜ ์ธ์ ‘ํ•œ ๊ผญ์ง“์ ์— ํฌํ•จ๋˜๋Š” ์ตœ์†Œ ์ง‘ํ•ฉ์ด๋‹ค. ์ด๋Š” ๊ทธ๋ž˜ํ”„์—์„œ ์ค‘์š”ํ•œ ์ •๋ณด๋ฅผ ํšจ์œจ์ ์œผ๋กœ ์ „๋‹ฌํ•˜๊ฑฐ๋‚˜ ์ปค๋ฒ„ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋œ๋‹ค. ์ง€๋ฐฐ ์ˆซ์ž ฮณ(G)๋Š” ์ด๋Ÿฌํ•œ ์ตœ์†Œ ์ง‘ํ•ฉ์˜ ํฌ๊ธฐ๋ฅผ ๋‚˜ํƒ€๋‚ด๋ฉฐ, ์ด๋ฅผ ๊ณ„์‚ฐํ•˜๋Š” ๋ฌธ์ œ๋Š” NP ์™„์ „์ž„์ด ์•Œ๋ ค์ ธ ์žˆ๋‹ค. ๊ฒฐํ•ฉ

Mathematics Computational Complexity Computer Science
Application of the Modified 2-opt and Jumping Gene Operators in   Multi-Objective Genetic Algorithm to solve MOTSP

Application of the Modified 2-opt and Jumping Gene Operators in Multi-Objective Genetic Algorithm to solve MOTSP

: ๋ณธ ๋…ผ๋ฌธ์€ ๋‹ค๋ชฉ์  ์—ฌํ–‰ ํŒ๋งค์› ๋ฌธ์ œ(Multi Objective Traveling Salesman Problem, MOTSP)๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•œ ์œ ์ „ ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ํ˜์‹ ์ ์ธ ์ ‘๊ทผ๋ฒ•์„ ์ œ์•ˆํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ํŠนํžˆ ์ˆ˜์ •๋œ 2 opt์™€ ์ ํ”„ ์œ ์ „์ž ์—ฐ์‚ฐ์ž๋ฅผ ํ™œ์šฉํ•œ Elitist ๋น„์šฐ์›” ์ •๋ ฌ ์œ ์ „ ์•Œ๊ณ ๋ฆฌ์ฆ˜(NSGA II)์— ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ๋‹ค. ๋ฌธ์ œ ์ •์˜ ๋ฐ ๋ฐฐ๊ฒฝ ์—ฌํ–‰ ํŒ๋งค์› ๋ฌธ์ œ(TSP)๋Š” ์ฃผ์–ด์ง„ ๋„์‹œ๋“ค ์‚ฌ์ด์—์„œ ๊ฐ€์žฅ ์ €๋ ดํ•œ ๊ฒฝ๋กœ๋ฅผ ์ฐพ๋Š” ๋ฌธ์ œ๋กœ, ๋‹จ์ผ ๋ชฉ์  TSP๋Š” NP ์™„์ „ ๋ฌธ์ œ์ด๋‹ค. ๋‹ค๋ชฉ์  TSP์—์„œ๋Š” ์—ฌ๋Ÿฌ ๋ชฉํ‘œ(์˜ˆ: ๋น„์šฉ๊ณผ ๊ฑฐ๋ฆฌ)๋ฅผ ์ตœ

Neural Computing Artificial Intelligence Computer Science
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The Igusa-Todorov function for comodules

๋ณธ ๋…ผ๋ฌธ์€ ์ด๊ตฌ์‚ฌ ํ† ๋„ํ”„(IT) ํ•จ์ˆ˜๋ฅผ ์ด์šฉํ•˜์—ฌ ์ฝ”๋ชจ๋“ˆ๊ณผ ๊ด€๋ จ๋œ ์—ฌ๋Ÿฌ ์„ฑ์งˆ์„ ๋ถ„์„ํ•˜๊ณ  ์žˆ๋‹ค. ์ฃผ์š” ๋‚ด์šฉ์€ ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค: 1. IT ํ•จ์ˆ˜์™€ quasi Frobenius ์„ฑ์งˆ: IT ํ•จ์ˆ˜๋Š” ์ฃผ์–ด์ง„ ์ฝ”์•Œ๊ฒŒ๋ผ์—์„œ ๊ฐ ์œ ํ•œ ์ƒ์„ฑ ์šฐ(์ขŒ) ๋ชจ๋“ˆ์— ๋Œ€ํ•œ ์ž๋ช…ํ•˜์ง€ ์•Š์€ ํ•ต์„ ์ •์˜ํ•˜๋Š” ์ƒˆ๋กœ์šด ํ˜ธ๋ชฐ๋กœ์ง€ ๋„๊ตฌ์ด๋‹ค. ์ด ํ•จ์ˆ˜๋ฅผ ํ†ตํ•ด ์šฐ(์ขŒ) ์•„ํ‹ด ๋ฐ˜ํ™˜ ๋ง์˜ selfinjectivity๋ฅผ ํ‘œํ˜„ํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด quasi Frobenius ์„ฑ์งˆ๊ณผ IT ํ•จ์ˆ˜ ์‚ฌ์ด์˜ ๊ด€๊ณ„๋ฅผ ๋ถ„์„ํ•œ๋‹ค. 2. ์ขŒ(์šฐ) qcF ์ฝ”์•Œ๊ฒŒ๋ผ์˜ ์ •์˜์™€ IT ํ•จ์ˆ˜: ์ขŒ(์šฐ) qua

Mathematics

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