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A Communication Model for Adaptive Service Provisioning in Hybrid Wireless Networks

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋™๊ธฐ ์ˆœ์ˆ˜ ์• ๋“œํ˜น ๋„คํŠธ์›Œํฌ์˜ ํ•œ๊ณ„ : ์ด๋™์„ฑ, ๋ฐ€๋„ ๋ณ€๋™, ์ €์ „๋ ฅยท์ €์„ฑ๋Šฅ ๋””๋ฐ”์ด์Šค, ๋Œ€์—ญํญ ์ œํ•œ ๋“ฑ์œผ๋กœ ์„œ๋น„์Šค ํ’ˆ์งˆ ๋ณด์žฅ์ด ์–ด๋ ต๋‹ค. ์ธํ”„๋ผ ๊ธฐ๋ฐ˜ ๋„คํŠธ์›Œํฌ์˜ ๋น„์šฉ ๋ฌธ์ œ : ๊ณ ์ • ๊ธฐ์ง€๊ตญยท๋””์Šคํ”Œ๋ ˆ์ด ์„ค์น˜ ๋น„์šฉ, ์ „๋ ฅยท๋ณด์•ˆยทํŒŒ์† ์œ„ํ—˜์ด ์กด์žฌํ•œ๋‹ค. ํ•˜์ด๋ธŒ๋ฆฌ๋“œ ์ ‘๊ทผ์˜ ํ•„์š”์„ฑ : ๋ชจ๋ฐ”์ผ ๋””๋ฐ”์ด์Šค๊ฐ€ ๋ฐฑ๋ณธ(UMTS/GSM)๊ณผ ๊ทผ๊ฑฐ๋ฆฌ ์• ๋“œํ˜น(Wiโ€‘Fi/Bluetooth) ์–‘์ชฝ์— ๋™์‹œ์— ์ ‘์†ํ•จ์œผ๋กœ์จ, ๋น„์šฉยท์—๋„ˆ์ง€ยท์„œ๋น„์Šค ๋ฒ”์œ„์˜ ํŠธ๋ ˆ์ด๋“œ์˜คํ”„๋ฅผ ์ตœ์ ํ™”ํ•œ๋‹ค. 2. ํ•ต์‹ฌ ์ œ์•ˆ โ€“ Injection Communication | ์ธ์ ์…˜ ์ข…๋ฅ˜

Networking Model Computers and Society Hardware Architecture Network HCI Computer Science
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A Note on Surjective Inverse Systems

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ์ฃผ์š” ๊ฐœ๋… ์ „์‚ฌ ์—ญ์‹œ์Šคํ…œ : ๋ชจ๋“  ์ „์ด ์‚ฌ์ƒ (f {alphabeta})๊ฐ€ ์ „์‚ฌ์ธ ์—ญ์‹œ์Šคํ…œ. Mittagโ€‘Leffler(ML) ์กฐ๊ฑด : ๊ฐ ์ง€์‹œ (alpha)์— ๋Œ€ํ•ด ์–ด๋А (betagealpha)๋ถ€ํ„ฐ๋Š” ์ด๋ฏธ์ง€๊ฐ€ ๊ณ ์ •๋˜๋Š” ์กฐ๊ฑด. ํ”Œ๋ผ๋น„ยท๋ฐ˜ํ”Œ๋ผ๋น„ : ์  ์Šจ์ด ๋„์ž…ํ•œ ๊ฐ•ํ•œ ํ˜•ํƒœ์˜ ML ์กฐ๊ฑด์ด๋ฉฐ, ์ „์‚ฌ โ‡’ ML ์ˆœ์„œ๋ฅผ ๊ฐ–๋Š”๋‹ค. ์ด ๋…ผ๋ฌธ์€ โ€œ์ „์‚ฌ โ‡’ ML โ‡’ ํ”Œ๋ผ๋น„ยท๋ฐ˜ํ”Œ๋ผ๋น„โ€๋ผ๋Š” ๊ธฐ์กด ์‚ฌ์Šฌ์„ ๋‹ค์‹œ ์ •๋ฆฌํ•˜๊ณ , ์ „์‚ฌ์„ฑ ์ž์ฒด๊ฐ€ ์ง€์‹œ ์ง‘ํ•ฉ์˜ ๊ตฌ์กฐ์  ํŠน์„ฑ๊ณผ ๊นŠ์€ ์—ฐ๊ด€์ด ์žˆ์Œ์„ ๋ณด์—ฌ์ค€๋‹ค. 2. ํ•ต์‹ฌ ์ •๋ฆฌ (The

Mathematics System
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A Novel method for the design of 2-DOF Parallel mechanisms for machining applications

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ ์ „ํ†ต์ ์ธ ์ง๋ ฌํ˜• ๊ธฐ๊ณ„๊ณต๊ตฌ ๋Š” ๊ฐ ์ถ•์ด ์•ž์ถ•์„ ์ง€์ง€ํ•˜๋Š” ๊ตฌ์กฐ๋ผ ๋ฌด๊ฒŒ์™€ ๊ด€์„ฑ ์งˆ๋Ÿ‰์ด ํฌ๊ฒŒ ๋Š˜์–ด๋‚˜๋ฉฐ, ๊ณ ์† ๊ฐ€๊ณต ์‹œ ๊ฐ•์„ฑ ์ €ํ•˜์™€ ์ง„๋™ ๋ฌธ์ œ๊ฐ€ ์‹ฌํ™”๋œ๋‹ค. ๋ณ‘๋ ฌ ๊ธฐ๊ตฌ(PKM) ๋Š” ๋งํฌ๊ฐ€ ํ”„๋ ˆ์ž„์— ์ง์ ‘ ์—ฐ๊ฒฐ๋ผ ๊ตฌ์กฐ ๊ฐ•์„ฑ์ด ๋†’๊ณ  ์ด๋™ ์งˆ๋Ÿ‰์ด ์ ์–ด ๊ด€์„ฑ ํšจ๊ณผ๊ฐ€ ๊ฐ์†Œํ•œ๋‹ค. ๋”ฐ๋ผ์„œ HSM์— ์œ ๋ฆฌํ•˜์ง€๋งŒ, ์ž‘์—…๊ณต๊ฐ„ ํ˜•ํƒœ๊ฐ€ ๋ณต์žกํ•˜๊ณ  Jacobian์ด ๋น„์„ ํ˜• ์ด๋ผ ์„ฑ๋Šฅ์ด ์ž‘์—…๊ณต๊ฐ„ ๋‚ด์—์„œ ํฌ๊ฒŒ ๋ณ€๋™ํ•œ๋‹ค๋Š” ๋‹จ์ ์ด ์žˆ๋‹ค. 2. ์„ค๊ณ„ ๋ฐฉ๋ฒ•๋ก  โ€“ VAF ๊ธฐ๋ฐ˜ ์ ‘๊ทผ | ๋‹จ๊ณ„ | ํ•ต์‹ฌ ๋‚ด์šฉ | ๊ธฐ๋Œ€ ํšจ๊ณผ | | | | | | (a) ์„ค๊ณ„ ๋ณ€์ˆ˜

Computer Science Robotics
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A numerical approach for 3D manufacturing tolerances synthesis

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ ๊ธฐ๋Šฅโ€‘๊ณต์ฐจ์™€ ์ œ์กฐโ€‘๊ณต์ฐจ์˜ ๊ดด๋ฆฌ : ์„ค๊ณ„ ๋‹จ๊ณ„์—์„œ ์ •์˜๋œ ๊ธฐ๋Šฅ ๊ณต์ฐจ๋Š” ์ตœ์ข… ์กฐ๋ฆฝํ’ˆ์˜ ์„ฑ๋Šฅ์„ ๋ณด์žฅํ•˜์ง€๋งŒ, ์‹ค์ œ ์ œ์กฐ ๊ณผ์ •์—์„œ๋Š” ์ค‘๊ฐ„ ๊ณต์ •(์…‹์—…)๋งˆ๋‹ค ๋ฐœ์ƒํ•˜๋Š” ์œ„์น˜ยทํ˜•์ƒ ํŽธ์ฐจ๋ฅผ ๊ด€๋ฆฌํ•ด์•ผ ํ•œ๋‹ค. ๊ธฐ์กด ๋ฐฉ๋ฒ•์€ ์…‹์—… ์ข…๋ฃŒ ํ›„ ์™„์ œํ’ˆ์„ ๊ฒ€์‚ฌํ•˜๋Š” โ€˜์‚ฌํ›„ ๊ฒ€์ฆโ€™์— ์˜์กดํ•ด, ๊ณต์ • ์ค‘ ์˜ค๋ฅ˜๋ฅผ ์กฐ๊ธฐ์— ํƒ์ง€ํ•˜๊ธฐ ์–ด๋ ต๋‹ค. ์ˆ˜์น˜ ํ•ด์„ ๊ธฐ๋ฐ˜ ๊ณต์ฐจ ๊ด€๋ฆฌ : ์ตœ๊ทผ ๊ณต์ฐจ ํ•ด์„์— ์ตœ์ ํ™”ยท์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ธฐ๋ฒ•์„ ์ ์šฉํ•œ ์—ฐ๊ตฌ๊ฐ€ ๋Š˜๊ณ  ์žˆ์œผ๋‚˜, ํ•ด์„ ๊ฒฐ๊ณผ๋ฅผ ์ œ์กฐ ๊ณต์ฐจ๋กœ ์ „ํ™˜ํ•˜๋Š” ์ฒด๊ณ„์ ์ธ ์ ˆ์ฐจ๊ฐ€ ๋ถ€์กฑํ–ˆ๋‹ค. 2. ์ œ์•ˆ ๋ฐฉ๋ฒ•์˜ ํ•ต์‹ฌ ํ๋ฆ„ | ๋‹จ๊ณ„ | ๋‚ด์šฉ |

Computational Engineering Computer Science
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A Silicon-Based Micro Gas Turbine Engine for Power Generation

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉํ‘œ ๋งˆ์ดํฌ๋กœ ์ „๋ ฅ ์‹œ์Šคํ…œ์˜ ํ•„์š”์„ฑ : IoT, ์›จ์–ด๋Ÿฌ๋ธ”, ์›๊ฒฉ ์„ผ์„œ ๋“ฑ ์ดˆ์†Œํ˜• ์ „๋ ฅ ๊ณต๊ธ‰์›์— ๋Œ€ํ•œ ์ˆ˜์š”๊ฐ€ ๊ธ‰์ฆํ•˜๊ณ  ์žˆ๋‹ค. ๊ธฐ์กด ๋ฐฐํ„ฐ๋ฆฌ ๊ธฐ๋ฐ˜ ์†”๋ฃจ์…˜์˜ ํ•œ๊ณ„๋ฅผ ๊ทน๋ณตํ•˜๊ธฐ ์œ„ํ•ด ๊ณ ํšจ์œจยท๊ณ ์ถœ๋ ฅ ๋งˆ์ดํฌ๋กœ ๊ฐ€์Šค ํ„ฐ๋นˆ์ด ์œ ๋งํ•œ ๋Œ€์•ˆ์œผ๋กœ ์ œ์‹œ๋œ๋‹ค. ๊ธฐ์กด ์—ฐ๊ตฌ์™€ ์ฐจ๋ณ„์  : MIT์™€ ๋„ํ˜ธ์ฟ ๋Œ€์˜ ๋งˆ์ดํฌ๋กœ ํ„ฐ๋นˆ ์—ฐ๊ตฌ๋Š” ์ฃผ๋กœ ๋ฉ”์นด๋‹ˆ์ปฌ ๊ตฌ์กฐยท๋งˆ์ดํฌ๋กœ ๊ฐ€๊ณต์— ์ดˆ์ ์„ ๋งž์ท„์œผ๋‚˜, ์—ฐ์†Œ์‹ค์˜ ์—ด ์†์‹คยท๋ฒฝ ๋ƒ‰๊ฐ ๋ฌธ์ œ๋ฅผ ์ถฉ๋ถ„ํžˆ ํ•ด๊ฒฐํ•˜์ง€ ๋ชปํ–ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์‹ค๋ฆฌ์ฝ˜ ๊ธฐ๋ฐ˜ 7์ธต ๊ตฌ์กฐ์™€ ํ—ค์–ดํ•€ํ˜• ์žฌ์ˆœํ™˜ ์ฑ„๋„์„ ๋„์ž…ํ•ด ์—ฐ์†Œ์‹ค ์˜จ๋„ ์œ ์ง€์™€ ๋ฒฝ ๋ƒ‰๊ฐ์„ ๋™์‹œ์— ๋‹ฌ

Other CS Computer Science
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A succinct method for investigating the sums of infinite series through differential formulae

1. ์—ญ์‚ฌ์ ยทํ•™๋ฌธ์  ๋ฐฐ๊ฒฝ 18์„ธ๊ธฐ ๋ง ์€ ๊ธ‰์ˆ˜ ์ด๋ก ์ด ๊ธ‰๊ฒฉํžˆ ๋ฐœ์ „ํ•˜๋˜ ์‹œ๊ธฐ๋กœ, ๋ฒ ๋ฅด๋ˆ„์ด ์ˆ˜ ์™€ ์˜ค์ผ๋Ÿฌ ๋งฅํด๋กœ๋ฆฐ ์ „๊ฐœ ๊ฐ€ ํ•ต์‹ฌ ๋„๊ตฌ๋กœ ๋– ์˜ฌ๋ž๋‹ค. ์˜ค์ผ๋Ÿฌ๋Š” ์ด๋ฏธ ์˜ค์ผ๋Ÿฌ ๋งฅํด๋กœ๋ฆฐ ๊ณต์‹ ์„ ํ†ตํ•ด ๊ธ‰์ˆ˜์™€ ์ ๋ถ„์„ ์—ฐ๊ฒฐํ–ˆ์œผ๋ฉฐ, ์ด๋ฒˆ ๋…ผ๋ฌธ์—์„œ๋Š” ์ด๋ฅผ ๋ฏธ๋ถ„ ์—ฐ์‚ฐ์ž ์™€ ์ƒ์„ฑํ•จ์ˆ˜ ๋ผ๋Š” ํ˜„๋Œ€์  ๊ด€์ ์œผ๋กœ ์žฌ๊ตฌ์„ฑํ•œ๋‹ค. โ€œ๊ฐ„๊ฒฐํ•œ ๋ฐฉ๋ฒ•โ€์ด๋ผ๋Š” ์ œ๋ชฉ์ด ์‹œ์‚ฌํ•˜๋“ฏ, ๋ณต์žกํ•œ ๋ฌดํ•œ๊ธ‰์ˆ˜์˜ ํ•ฉ์„ ๋‹จ์ผ ์ƒ์„ฑํ•จ์ˆ˜ ํ•˜๋‚˜๋กœ ์••์ถ•ํ•˜๋ ค๋Š” ์‹œ๋„๋Š” ๋‹น์‹œ ์ˆ˜ํ•™์ž๋“ค์—๊ฒŒ ํฐ ์˜๊ฐ์„ ์ฃผ์—ˆ๋‹ค. 2. ํ•ต์‹ฌ ์•„์ด๋””์–ด์™€ ์ ˆ์ฐจ | ๋‹จ๊ณ„ | ๋‚ด์šฉ | ํ˜„๋Œ€์  ํ•ด์„ | | | | | | (i) ๊ธ‰์ˆ˜ ํ‘œํ˜„ |

Mathematics
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An affine-intuitionistic system of types and effects: confluence and termination

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋™๊ธฐ Curryโ€‘Howard ๋Œ€์‘ ์„ ์„ ํ˜• ๋…ผ๋ฆฌ์™€ ๊ฒฐํ•ฉํ•ด ์ž์› ์‚ฌ์šฉ ์„ ์ •ํ˜•ํ™”ํ•˜๋Š” ์ „ํ†ต์  ํ๋ฆ„์„ ๊ณ„์Šนํ•œ๋‹ค(์˜ˆ: Girard, Barberโ€‘Plotkin). ๊ธฐ์กด DILL์€ affine ฮปโ€‘abstraction ๋งŒ์„ ์ง€์›ํ•˜๊ณ , ๋‹ค์ค‘ ์Šค๋ ˆ๋“œยท๋ถ€์ž‘์šฉ์„ ๋‹ค๋ฃจ์ง€๋Š” ๋ชปํ•œ๋‹ค. ํ˜„๋Œ€ ์–ธ์–ด(ML, ฯ€โ€‘calculus ๋“ฑ)์—์„œ๋Š” ๋™์‹œ์„ฑ ๊ณผ ์ƒํƒœ ๋ณ€์ด ๊ฐ€ ํ•ต์‹ฌ์ด๋ฏ€๋กœ, ๋…ผ๋ฆฌ ๊ธฐ๋ฐ˜ ์ •์  ๋ถ„์„์„ ์ด ์˜์—ญ์— ํ™•์žฅํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋‹ค. 2. ํ•ต์‹ฌ ์„ค๊ณ„ ์•„์ด๋””์–ด | ์š”์†Œ | ์„ค๋ช… | ๋…ผ๋ฆฌ์  ๊ทผ๊ฑฐ | | | | | | Region ์ถ”์ƒํ™” | ๋™์ 

System Logic Computer Science
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An annotation based approach to support design communication

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ ๋ณต์žกํ•œ ์„ค๊ณ„ ํ”„๋กœ์„ธ์Šค์™€ ํ˜‘์—… ์š”๊ตฌ : ํ˜„๋Œ€ ์„ค๊ณ„๋Š” ๋‹ค์ˆ˜์˜ ๋ถ„์•ผ ์ „๋ฌธ๊ฐ€๊ฐ€ ๋™์‹œ์— ์ฐธ์—ฌํ•˜๋Š” ๋™์‹œ๊ณตํ•™(concurrent engineering) ํ˜•ํƒœ๋กœ ์ง„ํ–‰๋˜๋ฉฐ, ์„ค๊ณ„์ž ๊ฐ„์˜ ๊ฐœ๋…ยทํ‘œํ˜„ยท๋„๊ตฌ ์ฐจ์ด๋กœ ์ธํ•œ ์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜ ๋น„์šฉ์ด ํฌ๊ฒŒ ์ฆ๊ฐ€ํ•œ๋‹ค. ๊ธฐ์กด ๋„๊ตฌ์˜ ํ•œ๊ณ„ : CADยทCAMยท์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋“ฑ ์ „ํ†ต์ ์ธ ์„ค๊ณ„ ์ง€์› ํˆด์€ โ€˜์„ค๊ณ„ ์ž์ฒดโ€™๋ฅผ ์ง€์›ํ•˜์ง€๋งŒ, โ€˜์„ค๊ณ„ ์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜โ€™ ์„ ์ฒด๊ณ„์ ์œผ๋กœ ์ง€์›ํ•˜๋Š” ๊ธฐ๋Šฅ์€ ๋ถ€์กฑํ•˜๋‹ค. ์ฃผ์„์˜ ์ž ์žฌ๋ ฅ : ์„ค๊ณ„ ๋„๋ฉดยท์Šค์ผ€์น˜ยท๋””์ง€ํ„ธ ๋ชจ๋ธ์— ๋ถ€์ฐฉ๋˜๋Š” ์ฃผ์„์€ ์„ค๊ณ„ ์˜๋„ยท์ œ์•ฝยท๊ฒฐ์ • ๊ทผ๊ฑฐ๋ฅผ ์ „๋‹ฌํ•˜๋Š” โ€œ๊ฒฝ๊ณ„

HCI Computer Science
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An Efficient PKC-Based Security Architecture for Wireless Sensor Networks

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋™๊ธฐ PKC์™€ WSN์˜ ์ „ํ†ต์  ๋ถˆ์ผ์น˜ : ๊ณต๊ฐœํ‚ค ์—ฐ์‚ฐ(ํŠนํžˆ RSA, ECC)์€ ์—ฐ์‚ฐ๋Ÿ‰ยทํ‚ค ๊ธธ์ดยท์ „๋ ฅ ์†Œ๋ชจ๊ฐ€ ํฌ๋‹ค. ๊ธฐ์กด WSN์€ ๋Œ€์นญํ‚ค ๊ธฐ๋ฐ˜ ๊ฒฝ๋Ÿ‰ ์•”ํ˜ธ์— ์˜์กดํ•ด ์™”์œผ๋ฉฐ, PKC ์ ์šฉ์€ โ€˜๋ถˆ๊ฐ€๋Šฅโ€™ํ•˜๋‹ค๋Š” ์ธ์‹์ด ํŒฝ๋ฐฐํ–ˆ๋‹ค. ์ตœ๊ทผ ํŠธ๋ Œ๋“œ : ECC์™€ ๊ฐ™์€ ๊ฒฝ๋Ÿ‰ ๊ณต๊ฐœํ‚ค ์•”ํ˜ธ๊ฐ€ ํ•˜๋“œ์›จ์–ด ๊ฐ€์† ๋ฐ ์ตœ์ ํ™” ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ํ†ตํ•ด ์„ผ์„œ ์ˆ˜์ค€์—์„œ๋„ ์‹คํ˜„ ๊ฐ€๋Šฅํ•˜๋‹ค๋Š” ์—ฐ๊ตฌ๊ฐ€ ๋Š˜์–ด๋‚˜๋ฉด์„œ, PKC ๊ธฐ๋ฐ˜ ๋ณด์•ˆ ํ”„๋ ˆ์ž„์›Œํฌ๋ฅผ ์žฌ๊ฒ€ํ† ํ•  ํ•„์š”๊ฐ€ ์ƒ๊ฒผ๋‹ค. 2. ํ•ต์‹ฌ ์•„์ด๋””์–ด ์•ฝํ•œ ์—ฐ๊ฒฐ ์ง€๋ฐฐ ์ง‘ํ•ฉ(WCDS) ๊ธฐ๋ฐ˜ ํด๋Ÿฌ์Šคํ„ฐ๋ง ์„ผ์„œ๋ฅผ ๊ทธ๋ฃน ์ง€๋ฐฐ์ž(GD, ํด๋Ÿฌ์Šค

Networking Cryptography and Security Network Computer Science
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An Evalutation of Programming Language Models performance on Software Defect Detection

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋™๊ธฐ ๋ฒ„๊ทธ๊ฐ€ ์‹œ์Šคํ…œ ์žฅ์• ์˜ 40% ์ด์ƒ์„ ์ฐจ์ง€ ํ•œ๋‹ค๋Š” ํ†ต๊ณ„์  ๊ทผ๊ฑฐ๋ฅผ ์ œ์‹œํ•˜๋ฉฐ, ๊ธฐ์กด ์ •์  ๋ฒ„๊ทธ ํƒ์ง€๊ธฐ(SBF)์˜ ๋‚ฎ์€ ์ •๋ฐ€๋„ยท์žฌํ˜„์œจ๊ณผ ์ˆ˜๋™ ๊ฒ€์ฆ ๋น„์šฉ์„ ๋ฌธ์ œ์ ์œผ๋กœ ์ง€์ ํ•œ๋‹ค. ์ตœ๊ทผ NLP ๋ถ„์•ผ์—์„œ ๋Œ€๊ทœ๋ชจ ์‚ฌ์ „ํ•™์Šต ์–ธ์–ด ๋ชจ๋ธ ์ด ๋‹ค์–‘ํ•œ ๋‹ค์šด์ŠคํŠธ๋ฆผ ์ž‘์—…์—์„œ ๋›ฐ์–ด๋‚œ ์„ฑ๋Šฅ์„ ๋ณด์ด๋ฉฐ, ํ”„๋กœ๊ทธ๋ž˜๋ฐ ์–ธ์–ด๋„ โ€œ์ž์—ฐ์Šค๋Ÿฌ์›€โ€(naturalness)์ด๋ผ๋Š” ํ†ต๊ณ„์  ํŠน์„ฑ์„ ๊ณต์œ ํ•œ๋‹ค๋Š” ์ ์„ ํ™œ์šฉํ•œ๋‹ค. 2. ์ฃผ์š” ์—ฐ๊ตฌ ์งˆ๋ฌธ ๋ฐ ๋ชฉํ‘œ | ์งˆ๋ฌธ | ๋‚ด์šฉ | | | | | RQ1 | ๋‹ค์–‘ํ•œ ์–ธ์–ด ๋ชจ๋ธ์ด ์„ธ ๊ฐ€์ง€ ๊ฒฐํ•จ ๋ ˆ๋ฒจ(๊ตฌ๋ฌธ, ์•Œ๊ณ ๋ฆฌ์ฆ˜, ์ผ๋ฐ˜)

Model Software Engineering NLP Computer Science Detection
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Approximation Algorithms for the Capacitated Domination Problem

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋™๊ธฐ ์ง€๋ฐฐ ์ง‘ํ•ฉ ๋ฌธ์ œ ๋Š” ๊ทธ๋ž˜ํ”„ ์ด๋ก ยท์กฐํ•ฉ ์ตœ์ ํ™”์—์„œ ๊ฐ€์žฅ ๊ธฐ๋ณธ์ ์ธ NPโ€‘hard ๋ฌธ์ œ ์ค‘ ํ•˜๋‚˜์ด๋ฉฐ, ๋กœ๊ทธโ€‘๊ทผ์‚ฌ((O(ln n)))์™€ (Delta)โ€‘๊ทผ์‚ฌ((Delta)๋Š” ์ตœ๋Œ€ ์ฐจ์ˆ˜) ๊ฒฐ๊ณผ๊ฐ€ ์˜ค๋ž˜์ „๋ถ€ํ„ฐ ์•Œ๋ ค์ ธ ์žˆ๋‹ค. ์‹ค์ œ ์„œ๋น„์Šค ๋ฐฐ์น˜(์˜ˆ: ์‘๊ธ‰ ์„œ๋น„์Šค, ๋ฌด์„  ๋„คํŠธ์›Œํฌ)์—์„œ๋Š” ์ •์ ๋งˆ๋‹ค ์„œ๋กœ ๋‹ค๋ฅธ ๋น„์šฉยท์šฉ๋Ÿ‰ยท์ˆ˜์š” ๊ฐ€ ์กด์žฌํ•œ๋‹ค๋Š” ์ ์—์„œ ๊ธฐ์กด ์ง€๋ฐฐ ์ง‘ํ•ฉ ๋ชจ๋ธ์ด ์ถฉ๋ถ„ํžˆ ํ‘œํ˜„ํ•˜์ง€ ๋ชปํ•œ๋‹ค. ์ด๋Ÿฌํ•œ ํ˜„์‹ค์  ์š”๊ตฌ๋ฅผ ๋ฐ˜์˜ํ•œ ์šฉ๋Ÿ‰ ์ œํ•œ ์ง€๋ฐฐ(Capacitated Domination) ๋ฌธ์ œ๋Š” 2018๋…„ Kao et al

Discrete Mathematics Computer Science
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Back-of-the-Envelope Computation of Throughput Distributions in CSMA Wireless Networks

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ ๊ธฐ์กด CSMA ์Šค๋ฃจํ’‹ ๋ถ„์„์€ ์ „๋ถ€๊ฐ€ ์„œ๋กœ๋ฅผ ๊ฐ์ง€ํ•˜๋Š”(allโ€‘inclusive) ๊ฒฝ์šฐ ์—๋งŒ ์ •ํ™•ํ•œ ํ•ด๋ฅผ ์ œ๊ณตํ•œ๋‹ค(์˜ˆ: Bianchi 2000). ์‹ค์ œ 802.11 ํ™˜๊ฒฝ์€ ๋น„ํฌ๊ด„์ (carrierโ€‘sensing ๊ด€๊ณ„๊ฐ€ ์ œํ•œ์ ์ธ) ๋„คํŠธ์›Œํฌ ๊ฐ€ ๋‹ค์ˆ˜์ด๋ฉฐ, ๊ธฐ์กด ๋ฐฉ๋ฒ•์„ ํ™•์žฅํ•˜๊ธฐ์—” ๋ณต์žก๋„์™€ ์ •ํ™•๋„ ๊ฐ€ ํฌ๊ฒŒ ๋–จ์–ด์ง„๋‹ค. ๋”ฐ๋ผ์„œ ๊ฐ„๋‹จํ•˜๋ฉด์„œ๋„ ์‹ค์šฉ์ ์ธ ๋ถ„์„ ๋„๊ตฌ๊ฐ€ ์ ˆ์‹คํžˆ ์š”๊ตฌ๋œ๋‹ค. 2. BoE ๋ฐฉ๋ฒ•๋ก  ์ƒ์„ธ | ๋‹จ๊ณ„ | ๋‚ด์šฉ | ํ•ต์‹ฌ ํฌ์ธํŠธ | | | | | | 1. Contention Graph ์ž‘์„ฑ | ๋งํฌ๋ฅผ ์ •์ , ๊ฐ์ง€

Networking Performance Network Computer Science
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Bayesian Estimation of Inequalities with Non-Rectangular Censored Survey Data

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ฌธ์ œ ์ •์˜ ๋ฐ์ดํ„ฐ ํŠน์„ฑ : ํ”„๋ž‘์Šค ํ†ต๊ณ„์ฒญ(INSEE)์˜ 2004๋…„ ๊ฐ€๊ณ„์ž์‚ฐ ์กฐ์‚ฌ๋Š” ๊ณ ์•ก ์ž์‚ฐ๊ฐ€์— ๋Œ€ํ•œ ์‘๋‹ต๋ฅ ์ด ๋‚ฎ๊ณ , ๋Œ€๋ถ€๋ถ„์˜ ๊ธˆ์•ก์ด ๊ตฌ๊ฐ„(bracket) ํ˜•ํƒœ๋กœ ์ œ๊ณต๋œ๋‹ค. ํŠนํžˆ ์ตœ๊ณ  ๊ตฌ๊ฐ„์ด โ€œโ‰ฅ 450 000 โ‚ฌโ€์™€ ๊ฐ™์ด ๋‚ฎ๊ฒŒ ์„ค์ •๋ผ, ์–ต๋Œ€ ๋ถ€์ž์™€ 451 000 โ‚ฌ ์ˆ˜์ค€ ๊ฐ€๊ตฌ๋ฅผ ๊ตฌ๋ถ„ํ•˜์ง€ ๋ชปํ•œ๋‹ค. ํ‘œ๋ณธ ์„ค๊ณ„ : ์ž์˜์—…์žยท์ž„์›ยทํ‡ด์ง์žยท๊ณ ์†Œ๋“ ์ง€์—ญ ๊ฐ€๊ตฌ๋ฅผ ๊ณผ์ž‰ํ‘œ์ง‘(overโ€‘sampling)ํ–ˆ์ง€๋งŒ, ๊ฒ€์—ด์ด ์‹ฌํ•ด ๊ณ ์•ก ๊ฐ€๊ตฌ์˜ ์ •ํ™•ํ•œ ์ž์‚ฐ ๊ทœ๋ชจ๋ฅผ ํŒŒ์•…ํ•˜๊ธฐ ์–ด๋ ต๋‹ค. ์—ฐ๊ตฌ ๋ชฉํ‘œ : ์ด๋Ÿฌํ•œ ์ œํ•œ๋œ ์ •๋ณด์™€ ๋ณตํ•ฉ ๊ฒ€์—ด ๊ตฌ์กฐ๋ฅผ ๊ณ ๋ ค

Statistics Data Applications
BERT-APC: A Reference-free Framework for Automatic Pitch Correction via Musical Context Inference

BERT-APC: A Reference-free Framework for Automatic Pitch Correction via Musical Context Inference

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋™๊ธฐ ๋ ˆํผ๋Ÿฐ์Šค ๊ธฐ๋ฐ˜ APC ๋Š” ์•…๋ณดยท๊ฐ€์ด๋“œ ๋ณด์ปฌ ๋“ฑ ์™ธ๋ถ€ ์ •๋ณด๋ฅผ ํ•„์š”๋กœ ํ•˜์—ฌ ์‹ค์ œ ์ œ์ž‘ ํ˜„์žฅ์—์„œ ์ ์šฉ์ด ์ œํ•œ์ ์ด๋‹ค. ๋ ˆํผ๋Ÿฐ์Šค ํ”„๋ฆฌ ์ƒ์šฉ ํˆด (Autoโ€‘Tune, Melodyne)์€ ๊ทœ์น™ ๊ธฐ๋ฐ˜ยท์‹ ํ˜ธ ์ฒ˜๋ฆฌ ๋ฐฉ์‹์œผ๋กœ ์Šค์ผ€์ผ ์–‘์žํ™”๋งŒ ์ˆ˜ํ–‰, ๊ณ ์ฐจ์› ํ™”์„ฑยท๊ตฌ์กฐ ์ •๋ณด๋ฅผ ๋ฌด์‹œํ•ด ๋ถ€์ž์—ฐ์Šค๋Ÿฌ์šด ๋ณด์ •์ด ๋ฐœ์ƒํ•œ๋‹ค. SVT(๋…ธ๋ž˜ ์Œ์„ฑ ์ „์‚ฌ) ๋ชจ๋ธ ์€ ์Œํ‘œ ๊ฒฝ๊ณ„์™€ ํ”ผ์น˜๋ฅผ ์ถ”์ •ํ•˜์ง€๋งŒ, ์Œ์•…์  ๋งฅ๋ฝ์„ ๋ฐ˜์˜ํ•˜์ง€ ๋ชปํ•ด ํฐ ๋””ํŠ  ์ƒํ™ฉ์—์„œ ์˜ค๋ฅ˜๊ฐ€ ๋ˆ„์ ๋œ๋‹ค. 2. ์ฃผ์š” ๊ธฐ์—ฌ | ๋ฒˆํ˜ธ | ๋‚ด์šฉ | | | | | โ‘  | ๋ ˆํผ๋Ÿฐ์Šคโ€‘ํ”„๋ฆฌ APC์— ์Œ์•… ์–ธ

Framework
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Calculation of the potential of mean force from nonequilibrium measurements via maximum likelihood estimators

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ ์ž์œ ์—๋„ˆ์ง€ ์ฐจ์ด์™€ PMF ๋Š” ๋‹จ๋ฐฑ์งˆโ€‘๋ฆฌ๊ฐ„๋“œ ๊ฒฐํ•ฉ, ์•ฝ๋ฌผ ์„ค๊ณ„ ๋“ฑ ๋‹ค์–‘ํ•œ ๋ถ„์•ผ์—์„œ ํ•ต์‹ฌ์ ์ธ ์–‘์ด๋‹ค. ๊ธฐ์กด ๋ฐฉ๋ฒ•์€ ํฌ๊ฒŒ ํ‰ํ˜• ๊ธฐ๋ฐ˜ (Thermodynamic Integration, Freeโ€‘Energy Perturbation, Umbrella Sampling)๊ณผ ๋น„ํ‰ํ˜• ๊ธฐ๋ฐ˜ (Jarzynski ๋“ฑ์‹, Crooks ์ •๋ฆฌ, Bennett Acceptance Ratio)์œผ๋กœ ๋‚˜๋‰œ๋‹ค. ๋น„ํ‰ํ˜• ๋ฐฉ๋ฒ•์€ ๋น ๋ฅธ ์Šค์œ„์นญ ์„ ํ†ตํ•ด ์ƒ˜ํ”Œ๋ง ํšจ์œจ์„ ๋†’์ผ ์ˆ˜ ์žˆ์ง€๋งŒ, Jarzynski ๋“ฑ์‹ ์˜ ์ง€์ˆ˜ ํ‰๊ท ์ด ๊ทนํžˆ ๋“œ๋ฌธ โ€œ๋งˆ๋ฒ•์ ์ธโ€ ๊ฒฝ

Physics Condensed Matter
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Capacity as a Fundamental Metric for Mechanism Design in the Information Economy

1. ์—ฐ๊ตฌ ๋™๊ธฐ์˜ ํƒ€๋‹น์„ฑ ๊ฒฝํ—˜์žฌ(Experience Goods)์™€ ์ •๋ณด์žฌ : ๊ด‘๊ณ  ์Šฌ๋กฏ์€ ๊ด‘๊ณ ์ฃผ๊ฐ€ ์‹ค์ œ ํด๋ฆญ์„ ๊ฒฝํ—˜ํ•ด์•ผ๋งŒ ์ „ํ™˜์œจ(CTR)๊ณผ ๊ฐ€์น˜๋ฅผ ์ถ”์ •ํ•  ์ˆ˜ ์žˆ๋Š” ์ „ํ˜•์ ์ธ ๊ฒฝํ—˜์žฌ์ด๋‹ค. ๊ธฐ์กด ๋งค์ถœยทํšจ์œจ ์ค‘์‹ฌ ์„ค๊ณ„๋Š” ์ด๋Ÿฌํ•œ โ€œํ•™์Šตโ€ ๊ธฐํšŒ๋ฅผ ์ œ๊ณตํ•˜์ง€ ๋ชปํ•œ๋‹ค. ์šฉ๋Ÿ‰์˜ ์ •์˜์™€ ์‹ค์งˆ์  ์˜๋ฏธ : โ€œ์–‘์˜ ํ™•๋ฅ ๋กœ ์•„์ดํ…œ์„ ๋ฐ›์„ ์ˆ˜ ์žˆ๋Š” ์ž…์ฐฐ์ž ์ˆ˜โ€๋ผ๋Š” ์ •์˜๋Š”, ๋‹จ์ˆœํžˆ ์Šน์ž ์ˆ˜๋ฅผ ๋Š˜๋ฆฌ๋Š” ๊ฒƒ์ด ์•„๋‹ˆ๋ผ ๋‹ค์–‘ํ•œ ์ž…์ฐฐ์ž์—๊ฒŒ ์‹คํ—˜์  ๊ธฐํšŒ๋ฅผ ์ œ๊ณต ํ•จ์œผ๋กœ์จ ์žฅ๊ธฐ์ ์ธ ๊ฐ€์น˜ ์ถ”์ •๊ณผ ์‹œ์žฅ ์•ˆ์ •์„ฑ์„ ํ™•๋ณดํ•œ๋‹ค๋Š” ์ ์—์„œ ํ˜์‹ ์ ์ด๋‹ค. 2. ๋ชจ๋ธ๋ง โ€“ ํ™•๋ฅ  ์ŠคํŒŒ์ดํฌ ๋‘ ๋‹จ๊ณ„

Game Theory Computer Science
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Classification of equivariant vector bundles over two-sphere

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋™๊ธฐ ๋น„๋“ฑ๋ณ€ ๋ณต์†Œ ๋ฒกํ„ฐ ๋ฒˆ๋“ค ์€ ์ฐจ์› ์กฐ๊ฑด ํ•˜์— Chern ํด๋ž˜์Šค๋กœ ์™„์ „ ๋ถ„๋ฅ˜๋˜์ง€๋งŒ, ๋“ฑ๋ณ€ ์ƒํ™ฉ ์—์„œ๋Š” ์ผ๋ฐ˜์ ์ธ ์ด๋ก ์ด ๋ถ€์žฌํ•˜๋‹ค. ๊ธฐ์กด์— ์•Œ๋ ค์ง„ ํŠน์ˆ˜ ๊ฒฝ์šฐ๋Š” (G)๊ฐ€ ์ž๋ช…ํ•˜๊ฑฐ๋‚˜ ์ž์œ  ์ž‘์šฉ์ผ ๋•Œ, (X G/H)์™€ ๊ฐ™์€ ๋™์งˆ๊ณต๊ฐ„, (X S^{1})์— ๋Œ€ํ•œ ๋ถ„๋ฅ˜(

Mathematics
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Clustering of Content Supporting Computer Mediated Courseware Development

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ ๊ธฐ์กด CMC๋Š” ๋‹จ์ผ ๊ต์žฌ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ์„ค๊ณ„๋˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ๋Œ€๋ถ€๋ถ„์ด๋ฉฐ, ๋‹ค์ค‘ ๊ต์žฌ๋ฅผ ํ†ตํ•ฉํ•œ ์ผ๋ฐ˜ํ™”๋œ ์ฝ”์Šค์›จ์–ด๋Š” ๋ถ€์žฌํ•จ. ๊ต์žฌ๋งˆ๋‹ค ์ฃผ์ œ ์กฐ์ง ๋ฐฉ์‹์ด ๋‹ฌ๋ผ ํ†ตํ•ฉ ๊ตฌ์กฐ๋ฅผ ์ˆ˜์ž‘์—…์œผ๋กœ ๋งŒ๋“œ๋Š” ๋น„์šฉ์ด ํฌ๊ณ , ๋‚ด์šฉ ๋ˆ„๋ฝยท์ค‘๋ณต ์œ„ํ—˜์ด ์กด์žฌํ•œ๋‹ค. 2. ํ•ต์‹ฌ ์•„์ด๋””์–ด ํŠธ๋ฆฌ โ†’ ๊ด€๊ณ„ํ˜• ๋ณ€ํ™˜ : ๊ฐ ๊ต์žฌ๋ฅผ โ€œ์ฑ…โ€‘์žฅโ€‘์ ˆโ€‘์†Œ์ ˆโ€‘ํ‚ค์›Œ๋“œโ€ 5โ€‘๋ ˆ๋ฒจ ํŠธ๋ฆฌ๋กœ ํ‘œํ˜„ํ•˜๊ณ , ๊ฐ ๊ฒฝ๋กœ๋ฅผ ํŠœํ”Œ ํ˜•ํƒœ๋กœ ์ €์žฅํ•จ์œผ๋กœ์จ SQL ๊ธฐ๋ฐ˜์˜ ๋น„๊ตยท๊ฒ€์ƒ‰์„ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•จ. ์œ ์‚ฌ๋„ ๊ธฐ๋ฐ˜ ํด๋Ÿฌ์Šคํ„ฐ๋ง : ํ‚ค์›Œ๋“œ ์ •๊ทœํ™” (๋ถˆ์šฉ์–ด ์ œ๊ฑฐ, ๋ณต์ˆ˜ํ˜•โ†’๋‹จ์ˆ˜ํ˜•, ํŠน์ˆ˜๋ฌธ์ž ์‚ญ์ œ) ๋™์˜์–ด ์‚ฌ์ „

Other CS Computer Science
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Complexity of Combinatorial Market Makers

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋™๊ธฐ ์กฐํ•ฉ ์˜ˆ์ธก ์‹œ์žฅ ์€ ๊ฐœ๋ณ„ ๋ฒ ํŒ…์ด ๋…ผ๋ฆฌ์ ์œผ๋กœ ์–ฝํ˜€ ์žˆ๋Š” ๊ฒฝ์šฐ(์˜ˆ: โ€œA ๋ง์ด 3์œ„์— ์˜ฌ๋ž์Œโ€, โ€œA๊ฐ€ B๋ณด๋‹ค ์•ž์„ ๋‹คโ€)์— ์ „์ฒด ๊ฒฐ๊ณผ ๊ณต๊ฐ„์ด ์ง€์ˆ˜์ ์œผ๋กœ ์ปค์ง„๋‹ค. ์ „ํ†ต์ ์ธ ๋งค์นญ ๊ธฐ๋ฐ˜ ๊ฒฝ๋งค๋Š” ์œ ๋™์„ฑ ๋ถ€์กฑ๊ณผ NPโ€‘hard ๋งค์นญ ๋ฌธ์ œ๋กœ ์‹ค์šฉ์„ฑ์ด ๋–จ์–ด์ง„๋‹ค. LMSR ์€ ๋ฌดํ•œ ์œ ๋™์„ฑ, ์ œํ•œ๋œ ์†์‹ค(bยทlog|ฮฉ|), ๊ทธ๋ฆฌ๊ณ  ์ง„์‹ค๋œ ํ™•๋ฅ  ๋ณด๊ณ ๋ฅผ ์œ ๋„ํ•˜๋Š” ์ ์ ˆํ•œ ์Šค์ฝ”์–ด๋ง ๋ฃฐ์„ ์ œ๊ณตํ•ด ์‚ฐ์—… ํ˜„์žฅ์—์„œ ๋„๋ฆฌ ์ฑ„ํƒ๋˜๊ณ  ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ โ€œ๊ฐ€๊ฒฉ์„ ์œ ์ง€ํ•œ๋‹คโ€๋Š” ์š”๊ตฌ๋Š” ์ง€์ˆ˜์ ์ธ ฮฉ์— ๋Œ€ํ•ด ์‹ค์‹œ๊ฐ„์œผ๋กœ ๋น„์šฉยท๊ฐ€๊ฒฉ ํ•จ์ˆ˜๋ฅผ ๊ณ„์‚ฐํ•ด์•ผ ํ•จ์„ ์˜๋ฏธํ•œ๋‹ค.

Game Theory Computer Science
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CompostBin: A DNA composition-based algorithm for binning environmental shotgun reads

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ ๋ฏธ๋ฐฐ์–‘ ๋ฏธ์ƒ๋ฌผ ์ด ์ „์ฒด ๋ฏธ์ƒ๋ฌผ ๊ตฐ์ง‘์˜ 99.9 % ์ด์ƒ์„ ์ฐจ์ง€ํ•œ๋‹ค๋Š” ์ ์—์„œ, ์ „ํ†ต์ ์ธ ๋ฐฐ์–‘โ€‘๊ธฐ๋ฐ˜ ๋ฐฉ๋ฒ•์€ ๋ฉ”ํƒ€๊ฒŒ๋†ˆ ์—ฐ๊ตฌ์˜ ๊ทผ๋ณธ์ ์ธ ํ•œ๊ณ„๊ฐ€ ๋œ๋‹ค. ๊ธฐ์กด ๋ฉ”ํƒ€๊ฒŒ๋†ˆ ๋ฐ”์ด๋‹ ๋ฐฉ๋ฒ•์€ (i) ๋ ˆํผ๋Ÿฐ์Šค ๊ธฐ๋ฐ˜ ์ •๋ ฌ/ํ•™์Šต , (ii) ์กฐ๋ฆฝ๋œ ์ปจํ‹ฐ๊ทธ์— ์˜์กด ํ•˜๋Š” ๋‘ ๊ฐ€์ง€ ํฐ ์ œ์•ฝ์„ ๊ฐ€์ง„๋‹ค. ํŠนํžˆ ์งง์€ ๋ฆฌ๋“œ(์ˆ˜๋ฐฑ ~ 2 kb)์—์„œ๋Š” Kโ€‘mer ๊ธฐ๋ฐ˜ ํŠน์„ฑ์˜ ์ฐจ์›์ด ์ปค์ ธ ์žก์Œ์ด ๊ธ‰์ฆํ•œ๋‹ค. 2. ํ•ต์‹ฌ ์•„์ด๋””์–ด | ๋‹จ๊ณ„ | ์„ค๋ช… | ์žฅ์  | | | | | | Kโ€‘mer ๋นˆ๋„ ๊ณ„์‚ฐ (6โ€‘mer) | 4โถ 4096 ์ฐจ์›์˜ ํŠน์„ฑ ๋ฒกํ„ฐ ์ƒ์„ฑ

Quantitative Biology
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Discovery of SN 2009nz Associated with GRB 091127

| ํ•ญ๋ชฉ | ๋‚ด์šฉ ๋ฐ ํ‰๊ฐ€ | | | | | ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  | ์žฅ๊ฑฐ๋ฆฌ GRB์™€ ํ•ต๋ถ•๊ดดํ˜• ์ดˆ์‹ ์„ฑ(Icโ€‘broadโ€‘lined) ์‚ฌ์ด์˜ ์—ฐ๊ด€์„ฑ์„ ํ™•์ธํ•˜๋Š” ๊ฒƒ์ด ์ตœ๊ทผ ์ฒœ๋ฌธํ•™์˜ ํ•ต์‹ฌ ๊ณผ์ œ์ด๋‹ค. ๊ธฐ์กด์— GRB 030329, 060218 ๋“ฑ์—์„œ SN ์—ฐ๊ด€์ด ํ™•์ธ๋˜์—ˆ์ง€๋งŒ, GRB 060505ยท060614 ๋“ฑ์—์„œ๋Š” ๋ถ€์žฌ๊ฐ€ ๋ณด๊ณ ๋ผ progenitor ๋‹ค์–‘์„ฑ์— ๋Œ€ํ•œ ์ดํ•ด๊ฐ€ ๋ถ€์กฑํ–ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋น„๊ต์  ๋‚ฎ์€ ์ ์ƒ‰ํŽธ์ด( z 0.49 ) ๋ฅผ ๊ฐ€์ง„ GRB 091127์„ ๋Œ€์ƒ์œผ๋กœ SN ์กด์žฌ ์—ฌ๋ถ€๋ฅผ ๊ฒ€์ฆํ•จ์œผ๋กœ์จ ์ด ๋ฌธ์ œ์— ๊ธฐ์—ฌํ•œ๋‹ค. | | ๊ด€์ธก ๋ฐ ๋ฐ์ดํ„ฐ

Astrophysics
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Dispersive magnetized waves in the solar wind plasma

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋™๊ธฐ ํƒœ์–‘ํ’ ๋‚œ๋ฅ˜ ์ŠคํŽ™ํŠธ๋Ÿผ ์€ 5๊ฐœ์˜ ๊ตฌ์—ญ์œผ๋กœ ๊ตฌ๋ถ„๋˜๋ฉฐ, ํŠนํžˆ ์ด์˜จ ๊ด€์„ฑ ๊ธธ์ด์™€ ํšŒ์ „ ์ฃผํŒŒ์ˆ˜ ์— ํ•ด๋‹นํ•˜๋Š” ๊ตฌ์—ญ(IIโ€“III ์‚ฌ์ด)์—์„œ ์ŠคํŽ™ํŠธ๋Ÿผ ๋ธŒ๋ ˆ์ดํฌ๊ฐ€ ๋‚˜ํƒ€๋‚œ๋‹ค. ๊ธฐ์กด์˜ ์••์ถ•์„ฑยท๋น„์••์ถ•์„ฑ MHD ๋ชจ๋ธ์€ ์ด ์˜์—ญ์„ ์„ค๋ช…ํ•˜๊ธฐ์— ํ•œ๊ณ„๊ฐ€ ์žˆ๋‹ค. ๋‘ ์œ ์ฒด(Hall MHD) ๋ชจ๋ธ ์€ ์ „์žยท์ด์˜จ ๊ด€์„ฑ์„ ํฌํ•จํ•จ์œผ๋กœ์จ ๊ณ ์ฃผํŒŒยท์†Œ๊ทœ๋ชจ ํŒŒ๋™ (๋™์—ญํ•™ ์•Œ๋ ˆ๋‹ˆ, ํœ˜์Šคํผ ๋“ฑ)์˜ ์กด์žฌ๋ฅผ ์ž์—ฐ์Šค๋Ÿฝ๊ฒŒ ์„ค๋ช…ํ•œ๋‹ค. ๊ณ ๋ฒ ํƒ€(ฮฒ>1) ํ”Œ๋ผ์ฆˆ๋งˆ ๋Š” 1 AU ์™ธ๋ถ€ ํƒœ์–‘ํ’์—์„œ ์ผ๋ฐ˜์ ์ด๋ฉฐ, ๋ฒ ํƒ€๊ฐ€ ํŒŒ๋™ ์ „ํŒŒ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์ •๋Ÿ‰ํ™”ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. 2. ์ด๋ก 

Physics
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Editorial: Statistics and forensic science

1. ๋ฒ•๊ณผํ•™์— ๋Œ€ํ•œ ๋Œ€์ค‘ยทํ•™๊ณ„์˜ ์ธ์‹ ๊ฒฉ์ฐจ ๋Œ€์ค‘ ๋งค์ฒด : CSI ์‹œ๋ฆฌ์ฆˆ๋Š” โ€œ๋ช‡ ๋ถ„ ์•ˆ์— ๋ฒ”์ธ์„ ์ฐพ๋Š”๋‹คโ€๋Š” ๊ทน์ ์ธ ์„œ์‚ฌ๋ฅผ ํ†ตํ•ด ๋ฒ•๊ณผํ•™์„ โ€˜์™„๋ฒฝํ•˜๊ณ  ์‹ ์†ํ•œโ€™ ๊ณผํ•™์œผ๋กœ ํฌ์žฅํ•œ๋‹ค. ํ•™๊ณ„ยท์–ธ๋ก  : Talbot(2007), Toobin(2007) ๋“ฑ์€ ์‹ค์ œ ๋ฒ•๊ณผํ•™์ด โ€˜๋ถˆ์™„์ „ยท์˜ค๋ฅ˜ ๊ฐ€๋Šฅ์„ฑโ€™์ด ๋†’์€ ๋ถ„์•ผ์ž„์„ ์ง€์ ํ•œ๋‹ค. Kennedy(2003), Saks & Koehler(2005) ๋“ฑ์€ ํ†ต๊ณ„์  ๊ทผ๊ฑฐ๊ฐ€ ๋ถ€์กฑํ•œ ์ฆ๊ฑฐ๊ฐ€ ์žฌํŒ์— ๋ฏธ์น˜๋Š” ์œ„ํ—˜์„ฑ์„ ๊ฒฝ๊ณ ํ•œ๋‹ค. 2. DNA ์ฆ๊ฑฐ์˜ โ€˜๊ณจ๋“œ ์Šคํƒ ๋‹ค๋“œโ€™ํ™”์™€ ๊ธฐ์กด ์ฆ๊ฑฐ์˜ ์œ„๊ธฐ DNA ๋ถ„์„์€ ๋†’์€ ์žฌํ˜„์„ฑ๊ณผ ๊ฐ๊ด€์„ฑ์œผ๋กœ

Statistics Applications
Effect of Surface Finish of Substrate on Mechanical Reliability of   in-48SN Solder Joints in Moems Package

Effect of Surface Finish of Substrate on Mechanical Reliability of in-48SN Solder Joints in Moems Package

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ MOEMS ํŒจํ‚ค์ง• ์€ ๊ณ ์ง‘์ ยท์†Œํ˜•ํ™”๊ฐ€ ํ•ต์‹ฌ์ด๋ฉฐ, ์†”๋” ์กฐ์ธํŠธ๋Š” ์ „๊ธฐยท์—ดยท๊ธฐ๊ณ„์  ์—ฐ๊ฒฐ์„ ๋™์‹œ์— ๋‹ด๋‹นํ•œ๋‹ค. Pbโ€‘free ์†”๋” ์ „ํ™˜ ์••๋ ฅ(ROHS, WEEE)๊ณผ ์ธ๋“โ€‘์ฃผ์„ ํ•ฉ๊ธˆ(Inโ€‘48Sn)์˜ ๋‚ฎ์€ ์šฉ์œต์ ยท์šฐ์ˆ˜ ์—ฐ์„ฑยท๊ธด ํ”ผ๋กœ ์ˆ˜๋ช…์€ MOEMS์— ๋งค๋ ฅ์ ์ด์ง€๋งŒ, ํ‘œ๋ฉด ํ”ผ๋‹ˆ์‹œ์™€์˜ ์ƒํ˜ธ์ž‘์šฉ ์— ๋Œ€ํ•œ ๊ทผ๋ณธ ์—ฐ๊ตฌ๊ฐ€ ๋ถ€์กฑํ–ˆ๋‹ค. 2. ์‹คํ—˜ ์„ค๊ณ„ ๋ฐ ๋ฐฉ๋ฒ•๋ก  | ํ•ญ๋ชฉ | ๋‚ด์šฉ | | | | | ์†”๋” | Inโ€‘48Sn (wt.% 48) ๊ตฌํ˜• ๋ณผ 500 ยตm | | ๊ธฐํŒ | FRโ€‘4 BGA, Cu ํŒจ๋“œ 30 ยตm ์œ„์— 4๊ฐ€์ง€ ํ”ผ

Other CS Computer Science
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Embeddings of discrete groups and the speed of random walks

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋™๊ธฐ ์••์ถ• ์ง€์ˆ˜ (alpha^{ }(G))๋Š” ๊ตฐ (G)๋ฅผ Hilbert ๊ณต๊ฐ„์— ์–ผ๋งˆ๋‚˜ โ€œ๋œ ์™œ๊ณกโ€ํ•ด์„œ ์‚ฝ์ž…ํ•  ์ˆ˜ ์žˆ๋Š”์ง€๋ฅผ ์ •๋Ÿ‰ํ™”ํ•˜๋Š” ๊ตฐ ๋ถˆ๋ณ€๋Ÿ‰์ด๋‹ค. Guentnerโ€‘Kaminker๋Š” (alpha^{ }(G)>1/2)์ด๋ฉด (G)๊ฐ€ amenable์ž„์„ ๋ณด์˜€์œผ๋ฉฐ, ์ด๋Š” ๊ณ ์ „์ ์ธ Baumโ€‘Connes ์ถ”์ธก๊ณผ๋„ ์—ฐ๊ฒฐ๋œ๋‹ค. Banach ๊ณต๊ฐ„์˜ ๋งค๋„๋Ÿฌ์›€ (modulus of smoothness) ์€ ๊ณต๊ฐ„์˜ ๊ธฐํ•˜ํ•™์  ๊ตฌ์กฐ๋ฅผ ์ธก์ •ํ•˜๋Š” ํ•ต์‹ฌ ๊ฐœ๋…์ด๋ฉฐ, Pisierโ€‘type ๋ถˆํ‰๋“ฑ์„ ํ†ตํ•ด ํ™•๋ฅ ์  ๋งˆํŒ…๊ฒŒ์ผ ๊ธฐ๋ฒ•๊ณผ ์—ฐ

Mathematics
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Empirical learning aided by weak domain knowledge in the form of feature importance

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋™๊ธฐ ๊ฒฝํ—˜์  ํ•™์Šต๊ธฐ์˜ ํ•œ๊ณ„ : ๋Œ€๋Ÿ‰์˜ ๋ผ๋ฒจ ๋ฐ์ดํ„ฐ์™€ ๊ธด ํ•™์Šต ์‹œ๊ฐ„์ด ํ•„์š”ํ•จ. ํ•˜์ด๋ธŒ๋ฆฌ๋“œ ํ•™์Šต๊ธฐ์˜ ๋ฌธ์ œ์  : ๊นŠ์€ ๋„๋ฉ”์ธ ์ด๋ก (์˜ˆ: ๋…ผ๋ฆฌ ๊ทœ์น™) ์š”๊ตฌ โ†’ ์ง€์‹ ํš๋“ ๋น„์šฉยท์ „๋ฌธ๊ฐ€ ์˜์กด๋„ ๋†’์Œ. ์ œ์•ˆ ์•„์ด๋””์–ด : โ€œ์•ฝํ•œโ€ ์ง€์‹, ์ฆ‰ ํŠน์„ฑ ์ค‘์š”๋„ ๋งŒ์„ ํ™œ์šฉํ•˜๋ฉด ๋น„์šฉ์„ ํฌ๊ฒŒ ์ ˆ๊ฐํ•˜๋ฉด์„œ๋„ ํ•™์Šต ์„ฑ๋Šฅ์„ ๊ฐœ์„ ํ•  ์ˆ˜ ์žˆ๋‹ค. 2. ํ•ต์‹ฌ ๊ฐœ๋… โ€“ Feature Relative Importance (FRI) | ํŠน์„ฑ | ์ •์˜ | ํŠน์ง• | | | | | | FRI | ์ „๋ฌธ๊ฐ€๊ฐ€ ์ง๊ด€์ ์œผ๋กœ ํŒ๋‹จํ•œ ๊ฐ ํŠน์„ฑ์˜ ์ƒ๋Œ€์  ์ค‘์š”๋„๋ฅผ 0~1 ์‹ค์ˆ˜๊ฐ’์œผ

Neural Computing Computer Science Artificial Intelligence Learning Machine Learning
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Estimates of the topological entropy from below for continuous self-maps on some compact manifolds

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋™๊ธฐ ์—”ํŠธ๋กœํ”ผ ์ถ”์ธก(EC) ์€ 1970๋…„๋Œ€ M. Shub๊ฐ€ ์ œ์•ˆํ•œ ๋ฌธ์ œ๋กœ, โ€œ์œ„์ƒ ์—”ํŠธ๋กœํ”ผ โ‰ฅ ์‹ค๊ณ„์ˆ˜ ์ฝ”ํ˜ธ๋ชฐ๋กœ์ง€์— ์˜ํ•ด ์œ ๋„๋œ ์„ ํ˜• ์—ฐ์‚ฐ์ž์˜ ์ŠคํŽ™ํŠธ๋Ÿผ ๋ฐ˜๊ฒฝ์˜ ๋กœ๊ทธโ€ ๋ฅผ ์š”๊ตฌํ•œ๋‹ค. ๊ธฐ์กด์—๋Š” ์•„๋…ธ์Šค(Anosov) ๋ณ€ํ™˜ ์ด๋‚˜ ํ™•์žฅ ์ง€๋„ ์™€ ๊ฐ™์ด ๊ฐ•ํ•œ ๋™์—ญํ•™์  ์„ฑ์งˆ์„ ๊ฐ€์ง„ ๊ฒฝ์šฐ์—๋งŒ ๊ฒ€์ฆ๋œ ๋ฐ” ์žˆ์—ˆ์œผ๋ฉฐ, ์ผ๋ฐ˜์ ์ธ ์—ฐ์† ์ž๊ธฐ์ง€๋„์— ๋Œ€ํ•œ ์ฆ๋ช…์€ ๋ถ€์กฑํ–ˆ๋‹ค. ํŠนํžˆ ๊ฐ€์ƒ ๋‹ํฌํ…ํŠธ ๊ตฐ (virtually nilpotent) ํ˜น์€ ๋‹คํ•ญ ์„ฑ์žฅ(polynomial growth) ์„ ๊ฐ–๋Š” ๊ธฐ๋ณธ๊ตฐ์„ ๊ฐ€์ง„ ๋งค๋‹ˆํด๋“œ๊ฐ€ ๋™์—ญํ•™ยท๊ธฐํ•˜ํ•™์ ์œผ๋กœ ์ค‘์š”ํ•œ

Mathematics
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FauxCrypt - A Method of Text Obfuscation

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ ํ”„๋ผ์ด๋ฒ„์‹œ์™€ ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘ : ์ด๋ฉ”์ผ, ๊ฒŒ์‹œํŒ ๋“ฑ ํ…์ŠคํŠธ ๊ธฐ๋ฐ˜ ์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜์ด ํด๋ผ์šฐ๋“œ์— ์ €์žฅ๋˜๋ฉด์„œ ์ž๋™ํ™”๋œ ์Šคํฌ๋ž˜ํ•‘ยท๋ถ„์„์ด ์ผ์ƒํ™”๋จ. ์ „ํ†ต์  ์•”ํ˜ธ์™€ ๋‚œ๋…ํ™”์˜ ์ฐจ์ด : ์•”ํ˜ธ๋Š” ํ‚ค๊ฐ€ ์—†์œผ๋ฉด ์ธ๊ฐ„๋„ ์ฝ์„ ์ˆ˜ ์—†์ง€๋งŒ, ๋ณธ ๋…ผ๋ฌธ์ด ๋ชฉํ‘œํ•˜๋Š” ๋ฐ”๋Š” โ€œ์ธ๊ฐ„์€ ์ฝ์„ ์ˆ˜ ์žˆ์ง€๋งŒ ๊ธฐ๊ณ„๋Š” ์–ด๋ ค์›Œํ•œ๋‹คโ€๋Š” ์ ์ด๋‹ค. 2. ์•Œ๊ณ ๋ฆฌ์ฆ˜ ๊ตฌ์กฐ | ๋‹จ๊ณ„ | ํ•ต์‹ฌ ๋™์ž‘ | ๋ชฉ์  | | | | | | 1 | ๋ชจ๋“  ๋ฌธ์ž ์†Œ๋ฌธ์ž ๋ณ€ํ™˜ | ๋Œ€์†Œ๋ฌธ์ž ์ฐจ์ด ์ œ๊ฑฐ, ์ผ๊ด€์„ฑ ํ™•๋ณด | | 2 | ์‚ฌ์ „ ๊ธฐ๋ฐ˜ ๋‹จ์–ด ์น˜ํ™˜ | ํŠน์ • ๋‹จ์–ด๋ฅผ ์™„์ „ํžˆ ๋‹ค๋ฅธ ํ˜•ํƒœ๋กœ ๊ต์ฒดํ•ด

Cryptography and Security Computer Science
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Fermi LAT Observations of the Supernova Remnant W28 (G6.4-0.1)

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉํ‘œ ์ดˆ์‹ ์„ฑ ์ž”ํ•ด์™€ ๋ถ„์ž ๊ตฌ๋ฆ„ ์ƒํ˜ธ์ž‘์šฉ ์€ ๊ณ ์—๋„ˆ์ง€ ์ž…์ž(์ฃผ๋กœ ์–‘์„ฑ์ž)๊ฐ€ ๊ตฌ๋ฆ„์— ์ถฉ๋Œํ•˜๋ฉด์„œ ฯ€โฐ โ†’ ฮณฮณ ๋ถ•๊ดด๋ฅผ ์ผ์œผํ‚ค๋Š” โ€˜์ฝ”์Šค๋ฏนโ€‘๋ ˆ์ด Illuminated Cloudโ€™ ๋ชจ๋ธ์˜ ์ „ํ˜•์ ์ธ ์‚ฌ๋ก€๋‹ค. ๊ธฐ์กด TeV ๊ด€์ธก(H.E.S.S.)์—์„œ๋Š” W28 ์ฃผ๋ณ€์— ๋„ค ๊ฐœ์˜ TeV ์†Œ์Šค๊ฐ€ ๋ฐœ๊ฒฌ๋˜์—ˆ์ง€๋งŒ, ์ž…์ž ์ข…๋ฅ˜์™€ ๊ฐ€์† ๋ฉ”์ปค๋‹ˆ์ฆ˜์€ ๋ถˆ๋ถ„๋ช…ํ–ˆ๋‹ค. Fermiโ€‘LAT์˜ ๋„“์€ ์‹œ์•ผ์™€ ์šฐ์ˆ˜ํ•œ ์—๋„ˆ์ง€ยท๊ฐ๋„ ํ•ด์ƒ๋„ ๋ฅผ ํ™œ์šฉํ•ด GeV ์˜์—ญ์—์„œ์˜ ์ŠคํŽ™ํŠธ๋Ÿผ๊ณผ ๊ณต๊ฐ„ ๋ถ„ํฌ๋ฅผ ์ •๋ฐ€ํžˆ ์ธก์ •ํ•จ์œผ๋กœ์จ, GeVโ€“TeV ์—ฐ๊ฒฐ ๊ณ ๋ฆฌ๋ฅผ ๋ฐํžˆ๋Š” ๊ฒƒ์ด ๋ณธ ๋…ผ๋ฌธ์˜ ํ•ต์‹ฌ

Astrophysics
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Fully Countering Trusting Trust through Diverse Double-Compiling

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ฌธ์ œ ์ •์˜ Trustingโ€‘Trust ๊ณต๊ฒฉ ์€ Ken Thompson(1984)๊ณผ KargerยทSchell(1974)์˜ ๋…ผ๋ฌธ์—์„œ ์ตœ์ดˆ๋กœ ์ œ์‹œ๋œ, ์ปดํŒŒ์ผ๋Ÿฌ ์ž์ฒด๊ฐ€ ์•…์„ฑ ์ฝ”๋“œ๋ฅผ ์‚ฝ์ž…ํ•˜๊ณ  ์žฌ์ปดํŒŒ์ผ ์‹œ์—๋„ ๊ทธ ์ฝ”๋“œ๋ฅผ ์ง€์†์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š” ๋ฉ”์ปค๋‹ˆ์ฆ˜์ด๋‹ค. ๊ธฐ์กด ๋ฐฉ์–ด์ฑ…(์†Œ์Šค ์ฝ”๋“œ ๊ฒ€์ฆ, ์žฌ์ปดํŒŒ์ผ, ์ˆ˜๋™ ๋ฐ”์ด๋„ˆ๋ฆฌ ๋น„๊ต ๋“ฑ)์€ ์ปดํŒŒ์ผ๋Ÿฌ๊ฐ€ ์ด๋ฏธ ๋ณ€์กฐ๋œ ๊ฒฝ์šฐ ์— ๋ฌด๋ ฅํ™”๋œ๋‹ค. ๋”ฐ๋ผ์„œ โ€œ์†Œ์Šค๊ฐ€ ์‹คํ–‰ ํŒŒ์ผ์„ ์ •ํ™•ํžˆ ๋Œ€ํ‘œํ•œ๋‹ค๋Š” ์ „์ œโ€ ๋ฅผ ๊ฒ€์ฆํ•  ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ๋ฉ”์ปค๋‹ˆ์ฆ˜์ด ์ ˆ์‹คํžˆ ํ•„์š”ํ–ˆ๋‹ค. 2. DDC ๊ธฐ๋ฒ•์˜ ํ•ต์‹ฌ ์•„์ด๋””์–ด | ๋‹จ๊ณ„ | ์„ค๋ช… |

Cryptography and Security Programming Languages Computer Science
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Graphical Presentations of Symmetric Monoidal Closed Theories

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋™๊ธฐ ๋Œ€์นญ ๋ชจ๋…ธ์ด๋‹ฌ ํ์‡„ ๋ฒ”์ฃผ ๋Š” ์„ ํ˜• ๋…ผ๋ฆฌ, ๊ณ ์ฐจ ์ถ”์ƒ ๊ตฌ๋ฌธ(highโ€‘order abstract syntax), ๊ทธ๋ฆฌ๊ณ  ์ตœ๊ทผ์˜ ๋น…๊ทธ๋ž˜ํ”„(bigraph) ์ด๋ก  ๋“ฑ์—์„œ ํ•ต์‹ฌ ๊ตฌ์กฐ๋กœ ๋“ฑ์žฅํ•œ๋‹ค. ๊ธฐ์กด ๋ฌธํ—Œ(Kellyโ€‘MacLane 1971, Trimble 1994, Bluteโ€‘etโ€‘al. 1996, Tan 1997, Hughes 2005 ๋“ฑ)์€ ์ž์œ  SMC ํ˜น์€ ๋ณ„โ€‘์ž์œจ(starโ€‘autonomous) ๋ฒ”์ฃผ์˜ ๊ตฌ์„ฑ์„ ์ฆ๋ช…๋ง ํ˜น์€ ๊ทธ๋ž˜ํ”„ ํ˜•ํƒœ๋กœ ์ œ์‹œํ–ˆ์ง€๋งŒ, ์„œ๋ช…์— ์—ฐ์‚ฐ๊ณผ ๋ฐฉ์ •์‹์ด ํฌํ•จ๋œ ์ผ๋ฐ˜์ ์ธ ์ด๋ก  ์— ๋Œ€ํ•œ ์ง์ ‘์ ์ธ ๊ทธ

Mathematics Logic Computer Science
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Hybrid Nano Communications

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋™๊ธฐ ๋ถ„์ž ํ†ต์‹ (MC) ์€ ์ „์ž๊ธฐํŒŒ๊ฐ€ ์ œํ•œ๋˜๋Š” ํ™˜๊ฒฝ(ํ„ฐ๋„, ํŒŒ์ดํ”„๋ผ์ธ, ์ธ์ฒด ๋‚ด๋ถ€ ๋“ฑ)์—์„œ ์ •๋ณด ์ „๋‹ฌ ๋งค์ฒด๋กœ์„œ ์ฃผ๋ชฉ๋ฐ›๊ณ  ์žˆ์œผ๋‚˜, ํ™•์‚ฐ ๊ธฐ๋ฐ˜ ์ „ํŒŒ ์†๋„๊ฐ€ ๋А๋ฆฌ๊ณ  ๊ฑฐ๋ฆฌ ์ œํ•œ์ด ํฌ๋‹ค. ํ…Œ๋ผํ—ค๋ฅด์ธ  ํ†ต์‹ (THz) ์€ ๋‚˜๋…ธ ๊ทœ๋ชจ ๋””๋ฐ”์ด์Šค ๊ฐ„ ์ง์ ‘์ ์ธ ์ „์ž๊ธฐ ์ „ํŒŒ๋ฅผ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•˜์ง€๋งŒ, ์ธ์ฒด ๋‚ด๋ถ€์™€ ๊ฐ™์€ ์ƒ์ฒด ํ™˜๊ฒฝ์—์„œ๋Š” ํก์ˆ˜์™€ ์‚ฐ๋ž€์ด ์‹ฌํ•ด ์ ์šฉ์ด ์–ด๋ ค์šธ ์ˆ˜ ์žˆ๋‹ค. ์‹ ๊ฒฝ ํ†ต์‹ (NC) ์€ ์ƒ๋ฌผํ•™์  ์‹ ๊ฒฝ๋ง์„ ์ด์šฉํ•ด ๋งค์šฐ ๋น ๋ฅธ ์ „๊ธฐยทํ™”ํ•™ ์‹ ํ˜ธ ์ „๋‹ฌ์ด ๊ฐ€๋Šฅํ•˜์ง€๋งŒ, ๋ฌผ๋ฆฌ์  ์ด๋™์„ฑ์ด ์ œํ•œ์ ์ด๋ฉฐ ์™ธ๋ถ€ ๋””๋ฐ”์ด์Šค์™€์˜ ์ธํ„ฐํŽ˜์ด์Šค๊ฐ€ ๋ถ€์žฌํ•˜๋‹ค. ์ด๋Ÿฌํ•œ

Mathematics Information Theory Computer Science Emerging Technologies
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Hybrid Numerical Solution of the Chemical Master Equation

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ ์ „ํ†ต์  ODE ๋ชจ๋ธ ์€ ๋ถ„์ž ์ˆ˜๊ฐ€ ์ถฉ๋ถ„ํžˆ ๋งŽ์„ ๋•Œ๋งŒ ์œ ํšจํ•˜์ง€๋งŒ, ์„ธํฌ ๋‚ด์—์„œ๋Š” DNA ํ•œ ๊ฐœ, ์ˆ˜์‹ญ~์ˆ˜๋ฐฑ ๊ฐœ ์ˆ˜์ค€์˜ RNA/๋‹จ๋ฐฑ์งˆ ๋“ฑ ์ž‘์€ ๋ณต์ œ์ˆ˜๊ฐ€ ํ”ํ•˜๋‹ค. ์ด ๊ฒฝ์šฐ ํ™•๋ฅ ์  ํšจ๊ณผ ๋ฅผ ๋ฌด์‹œํ•  ์ˆ˜ ์—†์œผ๋ฉฐ, CTMC(๋˜๋Š” CME)๋กœ ๋ชจ๋ธ๋งํ•ด์•ผ ํ•œ๋‹ค. CME๋Š” ์ƒํƒœ๊ณต๊ฐ„์ด ์ง€์ˆ˜์ ์œผ๋กœ ๊ธ‰์ฆํ•ด ์ง์ ‘ ํ•ด์„์ด ๋ถˆ๊ฐ€๋Šฅํ•˜๊ณ , Monteโ€‘Carlo ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์€ ๋งŽ์€ ๊ถค์ ์ด ํ•„์š”ํ•ด ํ†ต๊ณ„์  ์˜ค์ฐจ๋ฅผ ์ค„์ด๊ธฐ ์œ„ํ•ด ๋น„์šฉ์ด ํฌ๊ฒŒ ์ฆ๊ฐ€ํ•œ๋‹ค. ๊ธฐ์กด์˜ ์ˆ˜์น˜์  ๊ทผ์‚ฌ๋ฒ• (์˜ˆ: ์ƒํƒœ ์ œํ•œ, ๊ท ์ผํ™”, Krylov ์„œ๋ธŒ์ŠคํŽ˜์ด์Šค)์€ ์ž‘์€ ์ธ๊ตฌ๋งŒ์„ ๋‹ค๋ฃฐ

Quantitative Biology Numerical Analysis Computer Science
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Improved Direct Product Theorems for Randomized Query Complexity

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๊ธฐ์กด ํ•œ๊ณ„ ์ง์ ‘๊ณฑ ๋ฌธ์ œ ๋Š” โ€œk๊ฐœ์˜ ๋…๋ฆฝ ์ธ์Šคํ„ด์Šค๋ฅผ ๋™์‹œ์— ํ’€ ๋•Œ ๋‚œ์ด๋„๊ฐ€ ์–ด๋–ป๊ฒŒ ์ฆ๊ฐ€ํ•˜๋Š”๊ฐ€โ€๋ฅผ ์ •๋Ÿ‰ํ™”ํ•œ๋‹ค. ์ด์ „ ์—ฐ๊ตฌ๋“ค์€ ๊ณต์ • ์•Œ๊ณ ๋ฆฌ์ฆ˜(fair algorithms) (๊ฐ ์ธ์Šคํ„ด์Šค์— ์ •ํ™•ํžˆ T ์ฟผ๋ฆฌ)์—์„œ๋Š” ๊ฑฐ์˜ ์ตœ์ ์˜ DPT๋ฅผ ์–ป์—ˆ์ง€๋งŒ, ์ผ๋ฐ˜ ์•Œ๊ณ ๋ฆฌ์ฆ˜์— ๋Œ€ํ•ด์„œ๋Š” bs(f) (๋ธ”๋ก ๋ฏผ๊ฐ๋„)์™€ ๊ฐ™์€ ํ•จ์ˆ˜โ€‘ํŠน์ • ๋ณต์žก๋„์— ์˜์กดํ•˜๋Š” ์•ฝํ•œ ๊ฒฐ๊ณผ๋งŒ ์กด์žฌํ–ˆ๋‹ค. ์–‘์ž ์ฟผ๋ฆฌ ์™€ ํ†ต์‹  ๋ณต์žก๋„ ์—์„œ๋„ ๋น„์Šทํ•œ ์ œ์•ฝ์ด ์žˆ์—ˆ์œผ๋ฉฐ, ํŠนํžˆ bs(f) โ‰ช Rโ‚‚(f) ์ธ ๊ฒฝ์šฐ ๊ธฐ์กด ์ •๋ฆฌ๋Š” ์‹ค์šฉ์„ฑ์ด ๋–จ์–ด์กŒ๋‹ค. 2. ํ•ต์‹ฌ ๊ธฐ์—ฌ | ๊ธฐ์—ฌ | ๋‚ด์šฉ |

Computational Complexity Computer Science
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In-situ observation of a soap film catenoid - a simple educational physics experiment

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉํ‘œ ๊ทน๊ฐ’ ํ•จ์ˆ˜์™€ ๋ฌผ๋ฆฌํ•™ : ์˜ค์ผ๋Ÿฌโ€‘๋ผ๊ทธ๋ž‘์ฃผ ๋ฐฉ์ •์‹์ด ์ตœ์†Œ(๋˜๋Š” ๊ทน๋Œ€) ์ž‘์šฉ์„ ํ†ตํ•ด ๋ฌผ๋ฆฌ ๋ฒ•์น™์„ ๋„์ถœํ•œ๋‹ค๋Š” ์ ์€ ๊ต๊ณผ์„œ์ ์ด์ง€๋งŒ, ์‹ค์ œ ์‹คํ—˜์—์„œ ๊ทน์†Œยท๊ทน๋Œ€ ๋ฅผ ์ง์ ‘ ๊ด€์ฐฐํ•˜๊ธฐ๋Š” ์–ด๋ ต๋‹ค. ๋น„๋ˆ—๋ฐฉ์šธ ์ตœ์†Œ๊ณก๋ฉด : ํ”Œ๋ผํ† ์˜ ๊ณ ์ „์ ์ธ ์‹คํ—˜์„ ํ˜„๋Œ€์ ์œผ๋กœ ์žฌํ˜„ํ•ด, ํ‘œ๋ฉด ์žฅ๋ ฅ ์ตœ์†Œํ™” ๋ผ๋Š” ๋ฌผ๋ฆฌ์  ์›๋ฆฌ์™€ ๋ฏธ๋ถ„๊ธฐํ•˜ํ•™์  ์ตœ์†Œ๊ณก๋ฉด ์„ ์—ฐ๊ฒฐํ•œ๋‹ค. ๊ต์œก์  ์˜์˜ : ํ•™์ƒ๋“ค์ด โ€œํ•จ์ˆ˜์˜ ๊ทน๊ฐ’โ€์ด๋ผ๋Š” ์ถ”์ƒ์  ๊ฐœ๋…์„ ์‹œ๊ฐยท๋™์  ์œผ๋กœ ์ฒดํ—˜ํ•˜๊ฒŒ ํ•จ์œผ๋กœ์จ ๋ฌผ๋ฆฌยท์ˆ˜ํ•™ ํ†ตํ•ฉ ๊ต์œก์„ ์ด‰์ง„ํ•œ๋‹ค. 2. ์ด๋ก ์  ์ „๊ฐœ | ํ•ญ๋ชฉ | ํ•ต์‹ฌ ๋‚ด์šฉ | | | | | Eule

Mathematics Physics MATH-PH
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Induced fit, conformational selection and independent dynamic segments: an extended view of binding events

1. ์—ฐ๊ตฌ์˜ ํ•ต์‹ฌ ์ฃผ์žฅ | ์ฃผ์žฅ | ๋‚ด์šฉ | ์˜๋ฏธ | | | | | | ํ™•์žฅ๋œ ๊ตฌ์กฐ ์„ ํƒ ๋ชจ๋ธ(Eโ€‘CSM) | ๊ตฌ์กฐ ์„ ํƒ โ†’ ์กฐ์ •(๋˜๋Š” ๊ทธ ์—ญ์ˆœ) ๋‹จ๊ณ„๊ฐ€ ์—ฐ์†ยท๋™์‹œ์ ์œผ๋กœ ์ผ์–ด๋‚˜๋Š” ์ผ๋ฐ˜์ ์ธ ๊ฒฐํ•ฉ ๊ฒฝ๋กœ | ๊ธฐ์กด ๋‘ ๋ชจ๋ธ(์œ ๋„ ์ ํ•ฉ, ๊ตฌ์กฐ ์„ ํƒ)์„ ํ•˜๋‚˜์˜ ์—ฐ์† ์ŠคํŽ™ํŠธ๋Ÿผ์œผ๋กœ ํ†ตํ•ฉ | | ์œ ๋„ ์ ํ•ฉ์€ Eโ€‘CSM์˜ ๊ทน๋‹จ | ๊ฒฐํ•ฉ์„ ๊ฐ•ํ•˜๊ฒŒ ๊ณ ์ •์‹œํ‚ค๋Š” ์ด์˜จยท์ˆ˜์†Œ ๊ฒฐํ•ฉ ๋“ฑ ์žฅ๊ฑฐ๋ฆฌ ์ƒํ˜ธ์ž‘์šฉ์ด ์ง€๋ฐฐ์ ์ผ ๋•Œ | ํŠน์ • ์ƒํ™ฉ์—์„œ โ€˜์ „์ ์œผ๋กœ ์กฐ์ •โ€™์ด ์ง€๋ฐฐ์ ์ž„์„ ์„ค๋ช… | | ๋…๋ฆฝ์  ๋™์  ์„ธ๊ทธ๋จผํŠธ(IDS) | ์ „์ฒด ๋‹จ๋ฐฑ์งˆ๋ณด๋‹ค ๋™์—ญํ•™์ด ๋…๋ฆฝ์ ์ธ ์งง์€ ์•„๋ฏธ๋…ธ์‚ฐ ๊ตฌ๊ฐ„

Quantitative Biology Nonlinear Sciences
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Inference for stochastic volatility models using time change transformations

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ฌธ์ œ์  1. ํ™•์‚ฐ ๊ธฐ๋ฐ˜ ๋ชจ๋ธ์˜ ์ถ”์ • ๋‚œ์ด๋„ ํ™•์‚ฐ ๊ณผ์ •์€ ๋ฌดํ•œ ์ฐจ์› ๊ฐ์ฒด์ด๋ฏ€๋กœ, ๊ด€์ธก๋œ ์ด์‚ฐ ์‹œ์ ๋งŒ์œผ๋กœ๋Š” ์ •ํ™•ํ•œ ์ „์ด๋ฐ€๋„(p k)๋ฅผ ๊ตฌํ•˜๊ธฐ ์–ด๋ ต๋‹ค. ๊ธฐ์กด ์ ‘๊ทผ๋ฒ•(Aรฏtโ€‘Sahalia, Pedersen ๋“ฑ)์€ ์ „์ด๋ฐ€๋„ ๊ทผ์‚ฌ ํ˜น์€ ์ •ํ™•ํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜(Exact MC)์œผ๋กœ ํ•ด๊ฒฐํ–ˆ์ง€๋งŒ, ๋งˆ์ฝ”ํ”„์„ฑ ์˜์กด์„ฑ ์ด ๊ฐ•ํ•œ ๋ชจ๋ธ(ํŠนํžˆ ๋‹ค๋ณ€๋Ÿ‰ ํ™•๋ฅ  ๋ณ€๋™์„ฑ ๋ชจ๋ธ)์—์„œ๋Š” ์ ์šฉ์ด ์ œํ•œ์ ์ด๋‹ค. 2. MCMC ๊ธฐ๋ฐ˜ ๋ฐ์ดํ„ฐ ์ฆ๊ฐ•์˜ ์ฐจ์› ์ถ•์†Œ ํ˜„์ƒ Roberts & Stramer (2001)์™€ Elerian et al. (2001)์—์„œ ์ง€์ ํ•œ ๋ฐ”์™€

Mathematics Quantitative Finance Statistics Model
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Influence of synaptic interaction on firing synchronization and spike death in excitatory neuronal networks

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ์˜์˜ ๋™๊ธฐํ™”์™€ ์งˆ๋ณ‘ : ๋‡Œ ํ”ผ์งˆ์—์„œ์˜ ๋™๊ธฐํ™”๋Š” ์ •์ƒ์ ์ธ ์ •๋ณด ์ฒ˜๋ฆฌ์™€ ํŒŒํ‚จ์Šจยท๊ฐ„์งˆ ๋“ฑ ๋ณ‘๋ฆฌ์  ์ƒํƒœ ๋ชจ๋‘์— ๊ด€์—ฌํ•œ๋‹ค. ๋”ฐ๋ผ์„œ ๋™๊ธฐํ™” ์กฐ์ ˆ ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ๋ฐํžˆ๋Š” ๊ฒƒ์€ ์‹ ๊ฒฝ๊ณผํ•™ ๋ฐ ์ž„์ƒ ์น˜๋ฃŒ์— ํ•ต์‹ฌ์ ์ด๋‹ค. ์‹œ๋ƒ…์Šค ํšจ๋Šฅ : ๊ธฐ์กด ์—ฐ๊ตฌ๋Š” ๋„คํŠธ์›Œํฌ ํ† ํด๋กœ์ง€ยท์‹œ๋ƒ…์Šค ์ง€์—ฐ์ด ๋™๊ธฐํ™”์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์ฃผ๋กœ ๋‹ค๋ฃจ์—ˆ์œผ๋ฉฐ, ์‹œ๋ƒ…์Šค ์ „๋ฅ˜์˜ ๊ฐ•๋„ยท์ง€์†์‹œ๊ฐ„ (์ฆ‰, ํšจ๋Šฅ)์ด ๋™๊ธฐํ™”์— ๋ฏธ์น˜๋Š” ๊ตฌ์ฒด์  ๋ฉ”์ปค๋‹ˆ์ฆ˜์€ ์•„์ง ๋ช…ํ™•ํžˆ ๊ทœ๋ช…๋˜์ง€ ์•Š์•˜๋‹ค. 2. ๋ชจ๋ธ๋ง ์ ‘๊ทผ๋ฒ• | ์š”์†Œ | ๊ตฌํ˜„ ๋ฐฉ์‹ | ์ฃผ์š” ํŒŒ๋ผ๋ฏธํ„ฐ | | | | | | ๋‰ด๋Ÿฐ | Hodgkinโ€‘Hux

Quantitative Biology Network Condensed Matter
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Intensity-Based Registration of Freehand 3D Ultrasound and CT-scan Images of the Kidney

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ ์ž„์ƒ์  ์š”๊ตฌ : ์‹ ์žฅ ๊ฒฝํ”ผ์  ์ฒœ์ž๋Š” ์ •ํ™•ํ•œ ๋ชฉํ‘œ์  ๋„๋‹ฌ์ด ํ•„์ˆ˜์ด๋ฉฐ, ์‚ฌ์ „ CT ๊ธฐ๋ฐ˜ ๊ณ„ํš์„ ์‹ค์‹œ๊ฐ„์œผ๋กœ ์ „์ดํ•  ์ˆ˜ ์žˆ์–ด์•ผ ํ•œ๋‹ค. ๊ธฐ์ˆ ์  ๋‚œ์ œ : CT์™€ US๋Š” ๋ฌผ๋ฆฌ์  ํŠน์„ฑ์ด ํฌ๊ฒŒ ๋‹ฌ๋ผ(๋ฐ€๋„ vs ์Œํ–ฅ ์ž„ํ”ผ๋˜์Šค) ์ด๋ฏธ์ง€ ๋Œ€๋น„๊ฐ€ ๋‚ฎ๊ณ , US๋Š” ๋ถ€๋ถ„์ ์ธ 2D ์Šฌ๋ผ์ด์Šค๋งŒ ์ œ๊ณตํ•œ๋‹ค. 2. ํ•ต์‹ฌ ๋ฐฉ๋ฒ•๋ก  | ๋‹จ๊ณ„ | ๋‚ด์šฉ | ๋ชฉ์  | | | | | | (a) ๋ฐ์ดํ„ฐ ํš๋“ | CT ๋ณผ๋ฅจ + ๊ด‘ํ•™ ํŠธ๋ž˜ํ‚น๋œ ์ž์œ ์† US ์Šฌ๋ผ์ด์Šค | ์ขŒํ‘œ๊ณ„ ํ†ตํ•ฉ | | (b) ์ „์ฒ˜๋ฆฌ | CT์™€ US ์ด๋ฏธ์ง€์— ํžˆ์Šคํ† ๊ทธ๋žจ ๋งค์นญ, ์—์ง€ ๊ฐ•์กฐ ๋“ฑ |

Physics
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KRNC: New Foundations for Permissionless Byzantine Consensus and Global Monetary Stability

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋™๊ธฐ ๋ฐ”์ด์˜ค๋ชจ๋ฐฉ(biomimicry) ์€ ์ˆ˜์‹ญ ๋…„๊ฐ„ ์•ฝํ•™ยทAIยท์žฌ๋ฃŒ๊ณตํ•™ ๋“ฑ์—์„œ ํ˜์‹ ์„ ์ด๋Œ์–ด ์™”์œผ๋ฉฐ, ์ €์ž๋Š” ์ด๋ฅผ โ€œ์‹ ํ˜ธโ€‘์ธ์ฆ(cueโ€‘authenticated) ์ƒ๋ฌผํ•™์  ์‹ ํ˜ธโ€์— ์ ์šฉํ•ด ๋น„๋Œ€์นญ ์‹œ๋นŒ ์ €ํ•ญ ์„ ๊ตฌํ˜„ํ•œ๋‹ค๋Š” ์ ์—์„œ ๋…์ฐฝ์ ์ด๋‹ค. ๊ธฐ์กด POW์™€ POS๋Š” handicap principle (ํ•ธ๋””์บก ์›๋ฆฌ)์„ ์ฐจ์šฉํ•ด ๋น„์šฉ์„ ๊ฐ•์ œํ•จ์œผ๋กœ์จ ์‹ ๋ขฐ์„ฑ์„ ํ™•๋ณดํ•œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ €์ž๋Š” 1990๋…„๋Œ€ ์ดํ›„ ์ƒ๋ฌผํ•™์  ์—ฐ๊ตฌ๊ฐ€ ์ด ์›๋ฆฌ๋ฅผ ๋ถ€์ •ํ–ˆ์œผ๋ฉฐ, ๋น„์šฉโ€‘๋น„๋Œ€์นญ (cost asymmetry)๋งŒ์ด ํšจ์œจ์ ์ธ ์‹œ๋นŒ ์ €ํ•ญ์„ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•œ๋‹ค๊ณ  ์ฃผ

Cryptography and Security Game Theory Computer Science Distributed Computing
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Landscaping Systematic Mapping Studies in Software Engineering: A Tertiary Study

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ 2์ฐจยท3์ฐจ ์—ฐ๊ตฌ์˜ ์—ญํ•  : 1์ฐจ ์—ฐ๊ตฌ(์‹คํ—˜ยท๊ฐœ๋ฐœ) โ†’ 2์ฐจ ์—ฐ๊ตฌ(SLR, SMS) โ†’ 3์ฐจ ์—ฐ๊ตฌ(๋ฉ”ํƒ€โ€‘๋ถ„์„) ์ˆœ์œผ๋กœ ์ง€์‹์ด ์ถ•์ ๋œ๋‹ค. SE ๋ถ„์•ผ๋Š” 2์ฐจ ์—ฐ๊ตฌ๊ฐ€ ๊ธ‰์ฆํ•˜๋ฉด์„œ, ์ด๋ฅผ ์ข…ํ•ฉยท์ •๋ฆฌํ•  3์ฐจ ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ์ด ์ปค์กŒ๋‹ค. SMS์™€ SLR์˜ ์ฐจ์ด : SMS๋Š” ๋„“์€ ์—ฐ๊ตฌ ์งˆ๋ฌธ์— ๋Œ€ํ•œ โ€œ์ง€๋„โ€๋ฅผ ์ œ๊ณตํ•˜๊ณ , SLR์€ ๊นŠ์ด ์žˆ๋Š” โ€œํ†ตํ•ฉโ€์„ ๋ชฉํ‘œ๋กœ ํ•œ๋‹ค. ๋”ฐ๋ผ์„œ SMS๋Š” ์—ฐ๊ตฌ ํŠธ๋ Œ๋“œ์™€ ๊ฒฉ์ฐจ ํŒŒ์•…์— ์ ํ•ฉํ•˜๋‹ค. 2. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•๋ก  | ๋‹จ๊ณ„ | ๋‚ด์šฉ | ํ‰๊ฐ€ | | | | | | 1. ์—ฐ๊ตฌ ์งˆ๋ฌธ ์ •์˜ | SE ์ „๋ฐ˜์˜ SMS

System Software Engineering Computer Science
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Large amplitude behavior of the bulk viscosity of dense matter

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  ๋™์  ํŠน์„ฑ์˜ ์ค‘์š”์„ฑ : ์ •์  ๊ตฌ์กฐ(์งˆ๋Ÿ‰โ€‘๋ฐ˜์ง€๋ฆ„ ๊ด€๊ณ„)๋Š” EOS์—๋งŒ ์˜์กดํ•˜์ง€๋งŒ, ๋™์  ํ˜„์ƒ์ธ ์ ์„ฑ์€ ์ €์—๋„ˆ์ง€ ์ž์œ ๋„์™€ ์•ฝํ•œ ์ƒํ˜ธ์ž‘์šฉ ์†๋„์— ๋ฏผ๊ฐํ•ด ์„œ๋กœ ๋‹ค๋ฅธ ๊ณ ๋ฐ€๋„ ๋ฌผ์งˆ(ํ•ต๋ฌผ์งˆ, ์ฟผํฌ ๋ฌผ์งˆ)์„ ๊ตฌ๋ณ„ํ•  ์ˆ˜ ์žˆ๋Š” ์ž ์žฌ์  ์ง€ํ‘œ๊ฐ€ ๋œ๋‹ค. rโ€‘mode ๋ถˆ์•ˆ์ • : ํšŒ์ „ ์†๋„๊ฐ€ ์ถฉ๋ถ„ํžˆ ๋น ๋ฅด๊ณ  ์ ์„ฑ์ด ์ถฉ๋ถ„ํžˆ ๋‚ฎ์„ ๋•Œ rโ€‘mode์ด ์ค‘๋ ฅํŒŒ ๋ฐฉ์ถœ์„ ํ†ตํ•ด ๊ธ‰๊ฒฉํžˆ ์„ฑ์žฅํ•œ๋‹ค. ์„ฑ์žฅ ์–ต์ œ ๋ฉ”์ปค๋‹ˆ์ฆ˜์ด ์—†์œผ๋ฉด ๋ณ„์ด ๊ธ‰๊ฒฉํžˆ ์Šคํ•€โ€‘๋‹ค์šดํ•œ๋‹ค. ๊ธฐ์กด ์–ต์ œ ๋ฉ”์ปค๋‹ˆ์ฆ˜(๋ชจ๋“œ ๊ฒฐํ•ฉ, ์ฐจ๋™ ํšŒ์ „, ํฌ๋Ÿฌ์ŠคํŠธ ๋งˆ์ฐฐ ๋“ฑ)์€ ๋ณต์žกํ•˜๊ณ  ๊ทผ์‚ฌ์— ์˜์กดํ•œ๋‹ค. ๋ณธ ๋…ผ๋ฌธ

NUCL-TH Astrophysics HEP-PH
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Leyenda: An Adaptive, Hybrid Sorting Algorithm for Large Scale Data with Limited Memory

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ ๋””์Šคํฌ I/O vs. CPU : ํ˜„๋Œ€ ์‹œ์Šคํ…œ์—์„œ๋Š” CPU ์—ฐ์‚ฐ์ด ๋นจ๋ผ์ง์— ๋”ฐ๋ผ ๋””์Šคํฌ I/O๊ฐ€ ์ฃผ๋œ ๋ณ‘๋ชฉ์ด ๋œ๋‹ค. ํŠนํžˆ ๋ฉ”๋ชจ๋ฆฌ ์ œํ•œ(30 GB) ํ•˜์— 10 GBโ€‘60 GB ๊ทœ๋ชจ ๋ฐ์ดํ„ฐ๋ฅผ ์ฒ˜๋ฆฌํ•ด์•ผ ํ•˜๋Š” ์ƒํ™ฉ์—์„œ ๊ธฐ์กด ์ •๋ ฌ ์ปค๋„์€ ์„ฑ๋Šฅ ์ €ํ•˜๋ฅผ ๊ฒช๋Š”๋‹ค. Spark์™€ Sortโ€‘Merge Join : Spark์™€ ๊ฐ™์€ ๋ถ„์‚ฐ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋Š” ์ •๋ ฌ์„ ์ „์ œ๋กœ ํ•˜๋Š” Join ์—ฐ์‚ฐ์ด ๊ฐ€์žฅ ๋น„์šฉ์ด ๋งŽ์ด ๋“ ๋‹ค. ์™ธ๋ถ€ ์ •๋ ฌ์ด ํ•„์ˆ˜์ ์ด๋ฉฐ, ํ˜„์žฌ Spark๋Š” ํ‚คโ€‘ํ”„๋ฆฌํ”ฝ์Šค์™€ ํฌ์ธํ„ฐ๋งŒ ์ •๋ ฌํ•˜๋Š” AlphaSort ๋ฐฉ์‹์„ ์‚ฌ์šฉํ•œ๋‹ค. 2. L

Data Structures Data Databases Distributed Computing Computer Science
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Load Forecasting Model and Day-ahead Operation Strategy for City-located EV Quick Charge Stations

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ ํ™˜๊ฒฝยท์—๋„ˆ์ง€ ๊ด€์  : ๋‚ด์—ฐ๊ธฐ๊ด€ ์ฐจ๋Ÿ‰์˜ ๋Œ€๊ธฐ์˜ค์—ผยท์˜จ๋‚œํ™” ๋ฌธ์ œ์™€ ํ™”์„์—ฐ๋ฃŒ ๊ณ ๊ฐˆ ์œ„ํ—˜์„ ์™„ํ™”ํ•˜๊ธฐ ์œ„ํ•ด EV๊ฐ€ ํ•ต์‹ฌ ๋Œ€์•ˆ์œผ๋กœ ๋ถ€์ƒํ•˜๊ณ  ์žˆ๋‹ค. ์ธํ”„๋ผ ๊ฒฉ์ฐจ : ๊ฐ€์ •์šฉ ์ถฉ์ „ ์„ค๋น„๊ฐ€ ์—†๋Š” EV ์†Œ์œ ์ž๊ฐ€ ์—ฌ์ „ํžˆ ๋‹ค์ˆ˜์ด๋ฉฐ, ํŠนํžˆ ๋„์‹ฌ ์ง€์—ญ์—์„œ ๊ธ‰์† ์ถฉ์ „์†Œ์— ๋Œ€ํ•œ ์ˆ˜์š”๊ฐ€ ๊ธ‰์ฆํ•œ๋‹ค. ์šด์˜ ๋‚œ์ œ : ๊ธ‰์† ์ถฉ์ „์€ ์งง์€ ์ถฉ์ „ ์‹œ๊ฐ„๊ณผ ๋†’์€ ์ „๋ ฅ ํ”ผํฌ๋ฅผ ๋™๋ฐ˜ํ•ด ์ „๋ ฅ๋ง์— ํฐ ๋ถ€ํ•˜๋ฅผ ์ฃผ๋ฉฐ, ๊ธฐ์กด์˜ ์ˆ˜์š”๋ฐ˜์‘(DR)์ด๋‚˜ ์ „๋ ฅ์‹œ์žฅ ์ฐธ์—ฌ๊ฐ€ ์–ด๋ ค์›Œ ๋น„์šฉ ์ตœ์ ํ™”๊ฐ€ ํ•„์š”ํ•˜๋‹ค. 2. ์ฃผ์š” ๊ธฐ์—ฌ | ๋ฒˆํ˜ธ | ๋‚ด์šฉ | ๊ตฌ์ฒด์  ๊ธฐ์—ฌ | | | | | | (

Systems and Control Mathematics Model Computer Science Electrical Engineering and Systems Science
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Loop groups and twisted K-theory I

| ๊ตฌ๋ถ„ | ๋‚ด์šฉ | | | | | ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ | 1990๋…„๋Œ€ ํ›„๋ฐ˜๋ถ€ํ„ฐ ๋ฌผ๋ฆฌํ•™(ํŠนํžˆ ๋ฌธ์ž์—ด ์ด๋ก )์—์„œ ๋“ฑ์žฅํ•œ ๋’คํ‹€๋ฆฐ Kโ€‘์ด๋ก ๊ณผ, ๋ฃจํ”„ ๊ตฐ์˜ ์–‘์˜ ์—๋„ˆ์ง€(positiveโ€‘energy) ํ‘œํ˜„๋ก  ์‚ฌ์ด์— ์กด์žฌํ•˜๋Š” ๋ฏธ๋ฌ˜ํ•œ ์—ฐ๊ด€์„ฑ์„ ํƒ๊ตฌํ•˜๊ณ ์ž ํ•จ. ๊ธฐ์กด์—๋Š” ๋ฒ ๋ฅผ๋ฆฐ๋ฐ ๊ณต์‹์ด ๋ฌผ๋ฆฌํ•™์  ์ง๊ด€์— ์˜์กดํ•ด ์ œ์‹œ๋˜์—ˆ์œผ๋‚˜, ์œ„์ƒํ•™์ ยท๋Œ€์ˆ˜์  ๊ทผ๊ฑฐ๋Š” ๋ถ€์กฑํ–ˆ๋‹ค. | | ์ฃผ์š” ์ •์˜ | 1. ๋’คํ‹€๋ฆฐ ๋“ฑ๋ณ€ Kโ€‘๊ตฐ (K^{tau} {G}(X)) โ€“ ๊ทธ๋ฃน๋™์ž‘์„ ๊ฐ€์ง„ ๊ตฐ์ƒ (X//G) ์œ„์— โ€˜๋’คํ‹€๋ฆผโ€™ (tau) (์ •ํ™•ํžˆ๋Š” (H^{0} {G}(X;mathb

Mathematics HEP-TH
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Lower bounds for adaptive linearity tests

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋™๊ธฐ ์„ ํ˜•์„ฑ ํ…Œ์ŠคํŠธ ๋Š” ํ•จ์ˆ˜ (f:{0,1}^nto{0,1}) ๊ฐ€ ์„ ํ˜•์ธ์ง€, ํ˜น์€ ์„ ํ˜• ํ•จ์ˆ˜์™€ (varepsilon) ๋งŒํผ ๋ฉ€๋ฆฌ ๋–จ์–ด์ ธ ์žˆ๋Š”์ง€๋ฅผ ๊ตฌ๋ถ„ํ•œ๋‹ค. BLR ํ…Œ์ŠคํŠธ(3์งˆ์˜, ์†Œ์Œ๋„ (1/2))๊ฐ€ ์ตœ์ดˆ ์ œ์•ˆ๋์œผ๋ฉฐ, ์ดํ›„ PCP ์ •๋ฆฌ ์™€ ๋‹ค์–‘ํ•œ ๋ณต์žก๋„ ์ด๋ก ์— ํ•ต์‹ฌ ๋„๊ตฌ๋กœ ํ™œ์šฉ๋˜์—ˆ๋‹ค. ์งˆ์˜ ๋ณต์žก๋„ ๋ฅผ ์ตœ์†Œํ™”ํ•˜๋ฉด์„œ ์†Œ์Œ๋„ ๋ฅผ ๋‚ฎ์ถ”๋Š” ๊ฒƒ์ด ์ฃผ์š” ๋ชฉํ‘œ์ด๋ฉฐ, ์ด๋ฅผ ์œ„ํ•ด ์™„์ „ ๊ทธ๋ž˜ํ”„ ํ…Œ์ŠคํŠธ ๊ฐ€ ์ œ์•ˆ๋ผ (q k^2+k) ์งˆ์˜์— ๋Œ€ํ•ด ์†Œ์Œ๋„ (2^{ k^2}) ๋ฅผ ๋‹ฌ์„ฑํ•œ๋‹ค. 2. ๊ธฐ์กด ๊ฒฐ๊ณผ์™€ ํ•œ๊ณ„

Computational Complexity Data Structures Computer Science
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Making Random Choices Invisible to the Scheduler

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ฌธ์ œ ์ธ์‹ ๋ณด์•ˆ ํ”„๋กœํ† ์ฝœ ์€ ์ข…์ข… ๋ฌด์ž‘์œ„ํ™” ๋ฅผ ์ด์šฉํ•ด ์ต๋ช…์„ฑยท๊ณต์ •์„ฑ์„ ํ™•๋ณดํ•œ๋‹ค. ์ด๋Ÿฌํ•œ ํ”„๋กœํ† ์ฝœ์€ ๋™์‹œ์„ฑ ๊ณผ ์ƒํ˜ธ์ž‘์šฉ ์„ ํฌํ•จํ•˜๋ฏ€๋กœ, ๋น„๊ฒฐ์ •์  ์„ ํƒ๊ณผ ํ™•๋ฅ ์  ์„ ํƒ์„ ๋™์‹œ์— ๋ชจ๋ธ๋งํ•  ์ˆ˜ ์žˆ๋Š” ํ˜•์‹์ด ํ•„์š”ํ•˜๋‹ค. ๊ธฐ์กด์˜ ํ™•๋ฅ ์  ํ”„๋กœ์„ธ์Šค ๋Œ€์ˆ˜(์˜ˆ: Segala ์ž๋™์ž, probabilistic CCS)์—์„œ๋Š” ์Šค์ผ€์ค„๋Ÿฌ ๊ฐ€ ๋ชจ๋“  ๋น„๊ฒฐ์ •์  ์„ ํƒ์„ ํ•ด๊ฒฐํ•œ๋‹ค. ํ•˜์ง€๋งŒ ์Šค์ผ€์ค„๋Ÿฌ๊ฐ€ ๋ฌด์ž‘์œ„ ์„ ํƒ ๊ฒฐ๊ณผ ๋ฅผ ๋ณผ ์ˆ˜ ์žˆ์œผ๋ฉด, ๋น„๋ฐ€์ด ๋…ธ์ถœ๋˜๋Š” โ€œ์Šค์ผ€์ค„๋Ÿฌ ๊ณต๊ฒฉโ€ ์ด ๋ฐœ์ƒํ•œ๋‹ค. 2. ํ•ต์‹ฌ ์•„์ด๋””์–ด | ์š”์†Œ | ๊ธฐ์กด ์ ‘๊ทผ | ๋…ผ๋ฌธ์˜ ์ ‘๊ทผ | |

Cryptography and Security Logic Computer Science
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Monotonic and Non-Monotonic Epidemiological Models on Networks

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ฌธ์ œ ์ œ๊ธฐ ๋„คํŠธ์›Œํฌ์™€ ์ „์—ผ๋ณ‘ : ์ ‘์ด‰ ๋„คํŠธ์›Œํฌ๋Š” ์ „์—ผ๋ณ‘ ํ™•์‚ฐ ๊ฒฝ๋กœ์™€ ์†๋„๋ฅผ ๊ฒฐ์ •ํ•œ๋‹ค๋Š” ์ ์€ ๋„๋ฆฌ ์•Œ๋ ค์ ธ ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ „์—ผ์„ฑ(ฯ„)๊ณผ ๋„คํŠธ์›Œํฌ ๊ตฌ์กฐ๊ฐ€ ์–ด๋–ป๊ฒŒ ์ƒํ˜ธ์ž‘์šฉํ•ด ์ตœ์ข… ๊ทœ๋ชจ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”์ง€๋Š” ์•„์ง ๋ช…ํ™•ํžˆ ๊ทœ๋ช…๋˜์ง€ ์•Š์•˜๋‹ค. ๋‹จ์กฐ์„ฑ ๊ฐ€์ • : โ€œ์ „์—ผ์„ฑ์ด ํด์ˆ˜๋ก, ๋„คํŠธ์›Œํฌ๊ฐ€ ์ด˜์ด˜ํ• ์ˆ˜๋ก ๋ฐœ๋ณ‘ ๊ทœ๋ชจ๊ฐ€ ์ปค์ง„๋‹คโ€๋Š” ์ง๊ด€์€ ๋Œ€๋ถ€๋ถ„์˜ ๋ชจ๋ธ(SIR, SEIR ๋“ฑ)์—์„œ ์•”๋ฌต์ ์œผ๋กœ ์‚ฌ์šฉ๋œ๋‹ค. 2. ๋‹จ์กฐํ˜• SIR ๋ชจ๋ธ์— ๋Œ€ํ•œ ์ •๋ฆฌ์™€ ์ฆ๋ช… ์ •๋ฆฌ 1 (Monotonicity Theorem) ์ „์—ผ ํ™•๋ฅ  ฯ„, ์ดˆ๊ธฐ ๊ฐ์—ผ ํ™•๋ฅ  ฯƒ, ์ œ๊ฑฐ ํ™•

Mathematics Physics Model Network
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Non-Markovian stochastic description of quantum transport in photosynthetic systems

1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋™๊ธฐ ๊ด‘ํ•ฉ์„ฑ ๋ณตํ•ฉ์ฒด์™€ ์–‘์ž ์ฝ”ํžˆ๋Ÿฐ์Šค : ์ตœ๊ทผ FMO ๋ณตํ•ฉ์ฒด์—์„œ 300 fs ์ด์ƒ ์ง€์†๋˜๋Š” ์–‘์ž ์ฝ”ํžˆ๋Ÿฐ์Šค๊ฐ€ ์‹คํ—˜์ ์œผ๋กœ ํ™•์ธ๋˜๋ฉด์„œ, ๊ด‘ํ•ฉ์„ฑ ์‹œ์Šคํ…œ์„ ์–‘์ž์—ญํ•™์  ๋„คํŠธ์›Œํฌ๋กœ ๋ชจ๋ธ๋งํ•˜๋Š” ์—ฐ๊ตฌ๊ฐ€ ๊ธ‰์ฆํ•˜์˜€๋‹ค. LH1โ€‘RC์˜ ๊ณ ๋Œ€์นญ ๊ตฌ์กฐ : ๋ณด๋ผ์ƒ‰ ์„ธ๊ท ์˜ LH1โ€‘RC๋Š” 32๊ฐœ์˜ ์•ˆํ…Œ๋‚˜ ๋ถ„์ž๊ฐ€ ์›ํ˜•์œผ๋กœ ๋ฐฐ์—ด๋˜๊ณ , ์ค‘์•™์— ๋ฐ˜์‘ ์ค‘์‹ฌ(RC)์ด ์œ„์น˜ํ•œ๋‹ค๋Š” ์ ์—์„œ, ์ฃผ๊ธฐ์  ๊ฒฝ๊ณ„์กฐ๊ฑด์„ ํ™œ์šฉํ•œ ๋ชจ๋ฉ˜ํ…€(ํŒŒ๋™์ˆ˜) ํ‘œํ˜„์ด ์ž์—ฐ์Šค๋Ÿฝ๋‹ค. 2. ์ด๋ก ์  ๋ชจ๋ธ๋ง | ์š”์†Œ | ๋‚ด์šฉ | ์ฃผ์š” ๊ฐ€์ • | | | | | | ์‹œ์Šคํ…œ ํ•ด๋ฐ€ํ† ๋‹ˆ์•ˆ | ๋‘ ์ˆ˜์ค€(grou

Quantitative Biology Physics System Quantum Physics
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Oblivious Transfer based on Key Exchange

1. ์ฃผ์š” ๊ธฐ์—ฌ | ๋ฒˆํ˜ธ | ๊ธฐ์—ฌ ๋‚ด์šฉ | ๊ธฐ์กด ์—ฐ๊ตฌ์™€ ์ฐจ๋ณ„์  | | | | | | 1 | DH ๊ธฐ๋ฐ˜ ์˜ต์‹œ๋””์–ธ ํ‚ค ๊ตํ™˜ : DH ์ ˆ์ฐจ๋ฅผ โ€œ์„ฑ๊ณต/์‹คํŒจโ€๊ฐ€ ยฝ ํ™•๋ฅ ๋กœ ๊ฒฐ์ •๋˜๋„๋ก ๋ณ€ํ˜• | ๊ธฐ์กด OT๋Š” ์ฃผ๋กœ RSA, ElGamal, ํ˜น์€ DDH ๊ธฐ๋ฐ˜ ์•”ํ˜ธํ™” ์—ฐ์‚ฐ์— ์ง์ ‘ ์˜์กด | | 2 | ์ƒํ˜ธ ๋น„๋ฐ€ ๊ตํ™˜ ํ”„๋กœํ† ์ฝœ : ์–‘์ชฝ์ด ๋™์‹œ์— ๋น„๋ฐ€์„ ๊ตํ™˜ํ•˜๋ฉด์„œ๋„ ์–ด๋А ์ชฝ๋„ ์ƒ๋Œ€๊ฐ€ ๋น„๋ฐ€์„ ํš๋“ํ–ˆ๋Š”์ง€ ๋ชจ๋ฆ„ | Rabin OT๋Š” ์ผ๋ฐฉํ–ฅ ์ „์†ก์— ์ดˆ์  | | 3 | 1โ€‘outโ€‘ofโ€‘2 OT ๊ตฌํ˜„ : ๋‘ ๊ฐœ์˜ ๋น„๋ฐ€ ์ค‘ ํ•˜๋‚˜๋งŒ ์„ ํƒ์ ์œผ๋กœ ํš๋“ ๊ฐ€๋Šฅ, ์„ ํƒ ์ •๋ณด๋Š”

Cryptography and Security Computer Science

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