3 research outputs found

    Variation of Harbor Oscillation Characteristics due to Construction of New Port in Yeoungil Bay

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    Today, harbor oscillation problems are the most significant factor to consider when designing harbors serving very large ships. In coastal harbors, large vessels moored in the elastic hawsers are often displaced due to the resonance between long period waves and mooring systems. As a result, cargo handling may be interrupted and the hawsers may be broken, especially when the amplification becomes extreme. The most significant harbor confronted with harbor oscillation problem in Korea is Pohang New port. Many cases of problems are being reported by the Pohang pilot association and the local office of MOMAF (Ministry of Maritime Affairs and Fisheries). However, it is difficult to prevent the arrival of long waves causing oscillations within this harbor. Moreover, the Korean government has already started a new port plan at the mouth of Yeongil Bay without addressing the problems that have occurred in Pohang New port. This study deals with the variation of harbor oscillation due to the construction of a 4.1 km breakwater at the bay mouth including the arrangement of the new berths. Numericalmethods used are in fairly standard form from the extended mile slope equation. The obtained numerical results were compared with field measurement from the previous and this will bring a certain level of discussion and consideration of variation to the future port development.์ œ 1 ์žฅ ์„œ๋ก  = 1 1.1 ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ = 1 1.2 ์—ฐ๊ตฌ ๋ชฉ์  ๋ฐ ๋ฐฉ๋ฒ• = 2 ์ œ 2 ์žฅ ๊ธฐ๋ณธ์ด๋ก  ๋ฐ ์ˆ˜์น˜๋ชจ๋ธ = 4 2.1 ๋ถ€์ง„๋™์˜ ๊ธฐ๋ณธ ์ด๋ก  = 4 2.2 ์ˆ˜์น˜๋ชจ๋ธ ๊ธฐ๋ณธ์ด๋ก  = 11 2.3 ๊ฒฝ๊ณ„์กฐ๊ฑด = 14 2.4 ์šด๋™ํ•™์  ํŒŒ๋ผ๋ฉ”ํƒ€ = 18 ์ œ 3 ์žฅ ์ˆ˜์น˜๋ชจ๋ธ = 22 3.1 ๋Œ€์ƒ์˜์—ญ ์ผ๋ฐ˜ = 22 3.2 ์ˆ˜์น˜๋ชจ๋ธ(Numerical Model)์˜ ์ˆ˜๋ฆฝ = 28 3.3 ๋ณตํ•ฉ์š”์†Œ๋ฒ•์˜ ์ ์šฉ = 34 3.4 ๋ชจ๋ธ์˜ ๊ฒ€์ฆ = 48 3.5 ๊ณผ๊ฑฐ ์—ฐ๊ตฌ์ž๋ฃŒ ๋ฐ ํ˜„์žฅ๊ด€์ธก์ž๋ฃŒ = 54 ์ œ 4 ์žฅ ์ˆ˜์น˜์‹คํ—˜ ๋ฐ ๋ถ„์„ = 60 4.1 ๋Œ€์ƒ์˜์—ญ์˜ ์ผ๋ฐ˜ = 60 4.2 ํฌํ•ญ์‹ ํ•ญ์˜ ๊ณ ์œ ๊ณต์ง„์ฃผ๊ธฐ = 65 4.3 ์ˆ˜์น˜์‹คํ—˜ ๋ฐ ๋ถ„์„ = 68 4.3.1 ํ•ญ๋งŒ๋ฐ˜์‘ํŠน์„ฑ = 68 1) ์˜์ผ๋งŒ ์‹ ํ•ญ ๊ฑด์„ค ์ „ = 68 2) ์˜์ผ๋งŒ ์‹ ํ•ญ ๊ฑด์„ค ํ›„ = 71 3) ์ €๊ฐ๋Œ€์ฑ… ๋„์ž…ํ›„(๋ฐฉํŒŒ์ œ ํ™•์žฅ) = 74 4.3.2 ํ•ญ๋งŒ๋ณ„ ๋ฐ˜์‘ํŠน์„ฑ ๋น„๊ต = 77 1) ํฌํ•ญ์‹ ํ•ญ = 77 2) ํฌํ•ญ๊ตฌํ•ญ = 79 3) ์˜์ผ๋งŒ ์‹ ํ•ญ = 82 4.3.3 ๋ถ€์ง„๋™ ์ €๊ฐ๊ณต๋ฒ• ์ ์šฉ ๋ถ„์„ = 85 1) ํฌํ•ญ ์‹ ํ•ญ = 85 2) ํฌํ•ญ ๊ตฌํ•ญ = 87 3) ์˜์ผ๋งŒ ์‹ ํ•ญ = 90 4.4 ์ˆ˜์น˜์‹คํ—˜๊ฒฐ๊ณผ = 92 ์ œ 5 ์žฅ ๊ฒฐ๋ก  = 96 ์ฐธ๊ณ  ๋ฌธํ—Œ = 9

    Structure Coherence Features for Automated Analysis of CT Image Quality

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์˜๊ณผ๋Œ€ํ•™ ํ˜‘๋™๊ณผ์ • ๋ฐฉ์‚ฌ์„ ์‘์šฉ์ƒ๋ช…๊ณผํ•™์ „๊ณต, 2018. 2. ๊น€์ข…ํšจ.CT ์˜์ƒ์˜ ์žก์Œ์ˆ˜์ค€์€ ๊ธฐํƒ€ ์˜์ƒํ’ˆ์งˆ์ง€ํ‘œ๋“ค์„ ํ‰๊ฐ€ํ•˜๋Š” ๋ฐ”ํƒ•์ด ๋˜๋Š” ์ง€ํ‘œ๊ฐ€ ๋˜๋ฉฐ, ์Šค์บ” ํ”„๋กœํ† ์ฝœ ์ตœ์ ํ™”๋ฅผ ์œ„ํ•ด์„œ๋Š” ํ™˜์ž์„ ๋Ÿ‰ ํ™•์ธ๊ณผ ํ•จ๊ป˜ ํ‰๊ฐ€๋˜์–ด์•ผํ•˜๋Š” ์ง€ํ‘œ์ด๋‹ค. ์˜์ƒ์˜ ํ’ˆ์งˆํ‰๊ฐ€์—์„œ ์žก์Œํ‰๊ฐ€๊ฐ€ ์ฐจ์ง€ํ•˜๋Š” ๋น„์ค‘์ด ์ค‘๋Œ€ํ•˜์ง€๋งŒ, ๋Œ€๋ถ€๋ถ„์˜ ์ž„์ƒ์ ˆ์ฐจ์—์„œ ํ˜„์žฌ๊นŒ์ง€๋„ ์ˆ˜๋™์ธก์ •์— ์˜์กดํ•˜๊ณ  ์žˆ์œผ๋ฉฐ ์ด๋Š” ์—…๋ฌดํšจ์œจ๊ณผ ์‹ ๋ขฐ๋„๋ฅผ ๋–จ์–ด๋œจ๋ฆฐ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์—์ง€์„ฑ๋ถ„ ๋ฐ ํ™”์†Œ๋ฐฉํ–ฅ์„ฑ์˜ ๋ฌด์งˆ์„œ๋„๋ฅผ ํฌํ•จํ•˜๋Š” ๊ตฌ์กฐ๋ฌผ ์ผ๊ด€๋„ ํŠน์ง•๊ฐ’์„ ์ •์˜ํ•จ์œผ๋กœ์จ ํ‰๊ฐ€๋Œ€์ƒ ์กฐ์ง ๋‚ด ๊ท ์งˆํ•œ ์˜์—ญ์„ ์ž๋™์ ์œผ๋กœ ์ถ”์ถœํ•˜์—ฌ ์ง€์ •ํ•œ ์˜์—ญ์—์„œ์˜ ์žก์Œ์ˆ˜์ค€์„ ์ž๋™์ ์œผ๋กœ ์ธก์ •ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•˜์˜€๋‹ค. ๋˜ํ•œ ์ด ๊ตฌ์กฐ๋ฌผ ์ผ๊ด€๋„ ํŠน์ง•๊ฐ’์„ ์ด์šฉํ•˜์—ฌ ํ‰๊ฐ€๋Œ€์ƒ์˜์—ญ ๋‚ด ์†Œ๊ทœ๋ชจ ๊ตฌ์กฐ๋ฌผ์„ ํฌํ•จํ•˜๋Š” ์˜์—ญ ๋ฐ ๊ตฌ์กฐ๋ฌผ ์ „ํ™˜ ์˜์—ญ์„ ์„ฑ๊ณต์ ์œผ๋กœ ๋ถ„๋ฆฌํ•ด๋ƒ„์œผ๋กœ์จ ๊ธฐ์กด ์—ฌ๊ณผ์ค‘์ฒฉ์žฌ๊ตฌ์„ฑ๋ฒ• ๋Œ€๋น„ ๋ฐ˜๋ณต์ ์žฌ๊ตฌ์„ฑ๊ธฐ๋ฒ•์˜ ์žก์Œ์ˆ˜์ค€ ์ €๊ฐ๋„, ๊ตฌ์กฐ๋ฌผ ์ฒจ์˜ˆ๋„, ๊ตฌ์กฐ๋ฌผ ๋ณด์กด๋„๋ฅผ ์ •๋Ÿ‰์ ์œผ๋กœ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ์†Œ์•„ ๋ฐ ์„ฑ์ธ, ๋‹ค์–‘ํ•œ ํ”„๋กœํ† ์ฝœ๋กœ ์ดฌ์˜ํ•œ 94๋ช…์˜ ํ™˜์ž CT ์˜์ƒ 16,517์žฅ์—์„œ ๋Œ€์ƒ์˜์—ญ ๋‚ด ๊ท ์งˆํ•œ ๊ด€์‹ฌ์˜์—ญ์„ ์„ฑ๊ณต์ ์œผ๋กœ ์ถ”์ถœํ•จ์œผ๋กœ ํ™•์ธํ•˜์˜€์œผ๋ฉฐ (99.46%), 2๋ช…์˜ ์˜์ƒ์˜ํ•™๊ณผ ์ „๋ฌธ์˜๊ฐ€ ์ˆ˜๋™ ์ธก์ •ํ•˜์—ฌ ์ˆ˜๋ฆฝํ•œ ์ฐธ์กฐ ์žก์Œ์ˆ˜์ค€๊ณผ์˜ ๋น„๊ต๋ถ„์„์—์„œ 0.86์˜ ๋†’์€ ์ƒ๊ด€๊ณ„์ˆ˜๋ฅผ ๋ณด์ž„์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋˜ํ•œ ์—ฌ๊ณผ์ค‘์ฒฉ์žฌ๊ตฌ์„ฑ๋ฒ•์— ๋น„ํ•˜์—ฌ ๋ฐ˜๋ณต์ ์žฌ๊ตฌ์„ฑ๊ธฐ๋ฒ•์œผ๋กœ ์žฌ๊ตฌ์„ฑํ•œ GE์˜ ASIR50%, Philips์˜ iDose4 ์˜์ƒ์—์„œ ๊ฐ๊ฐ 29.34%, 27.63%์˜ ์žก์Œ์ˆ˜์ค€ ์ €๊ฐ๋„, 3.33%, -0.97%์˜ ๊ตฌ์กฐ๋ฌผ ์ฒจ์˜ˆ๋„ ๋ณ€ํ™”, 29.4%, 114.4%์˜ ๊ตฌ์กฐ๋ฌผ ๋ณด์กด๋„๋ฅผ ๋ณด์ž„์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ์ œ์•ˆํ•œ ๊ตฌ์กฐ๋ฌผ ์ผ๊ด€๋„ ํŠน์ง•๊ฐ’์€ ํ™˜์ž์˜ ์‹ ์ฒด๋ฅผ ๊ณ ๋ คํ•œ ์ข…ํ•ฉ์ ์ธ ์˜์ƒํ’ˆ์งˆ์ง€์ˆ˜๋ฅผ ์ž๋™์ ์œผ๋กœ ์‚ฐ์ถœํ•ด๋‚ด๊ฒŒ ํ•˜์˜€์œผ๋ฉฐ, ์ด๋Š” ํ™˜์ž์„ ๋Ÿ‰๊ณผ ํ•จ๊ป˜ ๋ถ„์„์„ ํ†ตํ•ด ์˜์ƒ๊ฒ€์‚ฌ๋ณ„ ์ตœ์ ์˜ CT ํ”„๋กœํ† ์ฝœ ์ œ์•ˆ ๋ฐ ํ™˜์žํŠน์ด์  ์„ ๋Ÿ‰, ํ’ˆ์งˆ์ง€์ˆ˜๋ฅผ ์ œ์‹œํ•  ์ˆ˜ ์žˆ๊ฒŒ ํ•œ๋‹ค.์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 1 ์ ˆ ์ „์‚ฐํ™” ๋‹จ์ธต์ดฌ์˜ (Computed Tomography, CT) 1 ์ œ 2 ์ ˆ ๋ฐ˜๋ณต์  ์žฌ๊ตฌ์„ฑ ๊ธฐ๋ฒ• 3 ์ œ 3 ์ ˆ ์„ ๋Ÿ‰ ๋ฐ ์˜์ƒ ํ’ˆ์งˆํ‰๊ฐ€ 5 ์ œ 2 ์žฅ ์—ฐ๊ตฌ์žฌ๋ฃŒ ๋ฐ ๋ฐฉ๋ฒ• 7 ์ œ 1 ์ ˆ ์˜์ƒ ๋ฐ์ดํ„ฐ 7 ์ œ 2 ์ ˆ ๊ตฌ์กฐ๋ฌผ ์ผ๊ด€๋„ ํŠน์ง•๊ฐ’ 11 ์ œ 3 ์ ˆ ์ž๋™์  ์žก์Œ์ˆ˜์ค€์ธก์ •๋ฐฉ๋ฒ• 14 ์ œ 4 ์ ˆ ์ž๋™ ๊ณ„์‚ฐํ•œ ์žก์Œ์ˆ˜์ค€์˜ ํ‰๊ฐ€ 19 ์ œ 5 ์ ˆ ์ข…ํ•ฉ์  ํ’ˆ์งˆํ‰๊ฐ€ 21 ์ œ 3 ์žฅ ์—ฐ๊ตฌ๊ฒฐ๊ณผ 25 ์ œ 1 ์ ˆ ๊ท ์งˆํ•œ ๊ด€์‹ฌ์˜์—ญ ์ถ”์ถœ๊ฒฐ๊ณผ 25 ์ œ 2 ์ ˆ ์ˆ˜๋™์ธก์ •๊ณผ์˜ ๋น„๊ต 26 ์ œ 3 ์ ˆ ์ €ํ”ผํญ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ 28 ์ œ 4 ์ ˆ ์žก์Œ์ˆ˜์ค€ ์ €๊ฐ๋„ ๊ฒฐ๊ณผ 29 ์ œ 5 ์ ˆ ๊ตฌ์กฐ๋ฌผ ์ฒจ์˜ˆ๋„ ํ‰๊ฐ€ ๊ฒฐ๊ณผ 30 ์ œ 6 ์ ˆ ๊ตฌ์กฐ๋ฌผ ๋ณด์กด๋„ ํ‰๊ฐ€ ๊ฒฐ๊ณผ 32 ์ œ 4 ์žฅ ๊ณ ์ฐฐ 34 ์ œ 5 ์žฅ ๊ฒฐ๋ก  38 ์ฐธ๊ณ ๋ฌธํ—Œ 39 Abstract 43Docto
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