22 research outputs found

    Comparison of Robot-Assisted Radical Prostatectomy and Open Radical Prostatectomy Outcomes: A Systematic Review and Meta-Analysis

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    PURPOSE: To systematically update evidence on the clinical efficacy and safety of robot-assisted radical prostatectomy (RARP) versus retropubic radical prostatectomy (RRP) in patients with prostate cancer. MATERIALS AND METHODS: Electronic databases, including ovidMEDLINE, ovidEMBASE, the Cochrane Library, KoreaMed, KMbase, and others, were searched, collecting data from January 1980 to August 2013. The quality of selected systematic reviews was assessed using the revised assessment of multiple systematic reviews and the modified Cochrane Risk of Bias tool for non-randomized studies. RESULTS: A total of 61 studies were included, including 38 from two previous systematic reviews rated as best available evidence and 23 additional studies that were more recent. There were no randomized controlled trials. Regarding safety, the risk of complications was lower for RARP than for RRP. Among functional outcomes, the risk of urinary incontinence was lower and potency rate was significantly higher for RARP than for RRP. Regarding oncologic outcomes, positive margin rates were comparable between groups, and although biochemical recurrence (BCR) rates were lower for RARP than for RRP, recurrence-free survival was similar after long-term follow up. CONCLUSION: RARP might be favorable to RRP in regards to post-operative complications, peri-operative outcomes, and functional outcomes. Positive margin and BCR rates were comparable between the two procedures. As most of studies were of low quality, the results presented should be interpreted with caution, and further high quality studies controlling for selection, confounding, and selective reporting biases with longer-term follow-up are needed to determine the clinical efficacy and safety of RARP.ope

    Simultaneous Retzius-sparing robot-assisted radical prostatectomy and partial nephrectomy.

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    We present a 61-year-old man who was diagnosed with synchronous prostate cancer and suspicious renal cell carcinoma of the right kidney, treated with combined Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) and robot-assisted partial nephrectomy (RAPN). The combined approach using RS-RARP and RAPN is technically feasible and safe surgical option for treatment of concomitant prostate cancer and suspicious renal cell carcinoma.ope

    Robot-assisted laparoendoscopic single-site partial nephrectomy with the novel da Vinci single-site platform: Initial experience

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    PURPOSE: To report our initial clinical cases of robotic laparoendoscopic single-site (R-LESS) partial nephrectomy (PN) performed with the use of the novel Da Vinci R-LESS platform. MATERIALS AND METHODS: Three patients underwent R-LESS PN from November 2013 through February 2014. Perioperative and postoperative outcomes were collected and intraoperative difficulties were noted. RESULTS: Operative time and estimated blood loss volume ranged between 100 and 110 minutes and between 50 and 500 mL, respectively. None of the patients was transfused. All cases were completed with the off-clamp technique, whereas one case required conversion to the conventional (multiport) approach because of difficulty in creating the appropriate scope for safe tumor resection. No major postoperative complications occurred, and all tumors were resected in safe margins. Length of hospital stay ranged between 3 and 7 days. The lack of EndoWrist movements, the external collisions, and the bed assistant's limited working space were noticed to be the main drawbacks of this surgical method. CONCLUSIONS: Our initial experience with R-LESS PN with the novel Da Vinci platform shows that even though the procedure is feasible, it should be applied in only appropriately selected patients. However, further improvement is needed to overcome the existing limitations.ope

    ๋Œ€๋‘ ๋‹จ๋ฐฑ์งˆ cold gel ํ˜•์„ฑ์— ๋ผ์น˜๋Š” ์Œ์ด์˜จ์˜ ํšจ๊ณผ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๋†์ƒ๋ช…๊ณตํ•™๋ถ€, 2011.2. ๋ฌธํƒœํ™”.Maste

    ์ž๋™๋ณ€์†๊ธฐ ๋ก์—…ํด๋Ÿฌ์น˜์˜ ๊ณผ๋„ํ† ํฌ์ œ์–ด์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ธฐ๊ณ„์„ค๊ณ„ํ•™๊ณผ,1995.Maste

    ์ž์—ฐํ•˜์ฒœ์—์„œ ์˜ค์—ผ๋ฌผ์งˆ์˜ ํšกํ˜ผํ•ฉ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :ํ† ๋ชฉ๊ณตํ•™๊ณผ ํ† ๋ชฉ๊ณตํ•™์ „๊ณต,1995.Maste

    Topographical relationships between the obturator nerve, artery, and vein in the lateral pelvic wall

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    INTRODUCTION AND HYPOTHESIS: The aims of this study were to determine the topographical relationships between the obturator nerve (ON), artery (OA), and vein (OV) in the lateral pelvic wall. METHODS: One hundred and fifty hemipelvises of 84 Korean cadavers were dissected. RESULTS: The ON, OA, and OV ran in that order (from upper to lower) within the lateral pelvic wall in 46.7 % of specimens. In 32 % of cases, the three structures were separated at the posterior portion of the wall and then converged toward the obturator canal (OC). In 10 %, the OA and OV were in contact with each other and separate from the ON; in 2 %, the ON was contiguous with the OA and separate from the OV; in 2.7 %, all three structures were in contact with each another. Alternately, the order of ON, OA, and OV was altered in the lateral pelvic wall in 41.3 % of specimens. Finally, in 12 % specimens, either the OA or OV or both were absent from the lateral pelvic wall. CONCLUSIONS: The possibility of the presence of either the OA or OV being between the ON and the external iliac vein, and the potential contact between the ON and either the OA or OV in the lateral pelvic wall, should be borne in mind during pelvic procedures.restrictio

    A Study on the Improvement of Mooring Configuration for Car Ferry in Jeju Port

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    ๊ณผ๊ฑฐ ์šฐ๋ฆฌ๋‚˜๋ผ ๋‚ดํ•ญ ์นดํŽ˜๋ฆฌ์—ฌ๊ฐ์„ (Car Ferry)๋“ค์€ ํ•ด์™ธ ์ค‘๊ณ ์„  ๋„์ž…์—๋งŒ ์˜์กดํ•ด์™”์—ˆ๋‹ค. ์„ธ์›”ํ˜ธ ์‚ฌ๊ณ  ์ดํ›„ ์—ฌ๊ฐ์„  ์„ ๋ น ์ œํ•œ, ์„ ๋ฐ• ๊ฒ€์‚ฌ ๊ฐ•ํ™” ๋ฐ 2018๋…„ ์—ฐ์•ˆ์—ฌ๊ฐ์„  ํ˜„๋Œ€ํ™” ํŽ€๋“œ ์‚ฌ์—… ๋“ฑ์œผ๋กœ ์ธํ•ด 2018๋…„์„ ๊ธฐ์ ์œผ๋กœ ์ œ์ฃผํ•ญ์„ ๊ธฐํ•ญํ•˜๋Š” ๋Œ€๋ถ€๋ถ„์˜ ๋‚ดํ•ญ ์นดํŽ˜๋ฆฌ์—ฌ๊ฐ์„ ๋“ค์€ ์ƒˆ๋กœ์šด ์ค‘๊ณ ์„  ๋ฐ ์‹ ์กฐ์„  ๋„์ž…์„ ํ†ตํ•ด ๋Œ€๋ถ€๋ถ„ ๊ต์ฒด๋˜์—ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์นดํŽ˜๋ฆฌ์—ฌ๊ฐ์„  ๊ต์ฒด ํ๋ฆ„ ์†์— ์—ฌ๊ฐ์„ ์œ„ํ•œ ํŽธ์˜โ‹…์˜ค๋ฝ ์‹œ์„ค ํ™•์ถฉ ๋ฐ ์พŒ์ ํ•œ ์„ ๋‚ด ํ™˜๊ฒฝ ์กฐ์„ฑ์„ ํ†ตํ•œ ์—ฌ๊ฐ ์˜์—… ์ด์ต ํ™•๋Œ€์™€ ๋Œ€๋Ÿ‰์˜ ํ™”๋ฌผ ์šด์†ก์„ ํ†ตํ•œ ์šด์†ก ์ด์ต ์ฆ๊ฐ€๋ฅผ ์œ„ํ•ด ์—ฌ๊ฐ์„ ๋“ค์˜ ํฌ๊ธฐ ๋˜ํ•œ ๋Œ€ํ˜•ํ™”๋˜์—ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์—ฌ๊ฐ์„  ๋Œ€ํ˜•ํ™”์™€ ๋”๋ถˆ์–ด ์—ฌ๊ฐ์„  ์‚ฌ์—… ํ™œ์„ฑํ™”๋กœ ์ธํ•ด ํ˜„์žฌ ์ œ์ฃผํ•ญ์„ ๊ธฐํ•ญํ•˜๋Š” ์นดํŽ˜๋ฆฌ์—ฌ๊ฐ์„ ์˜ ์ˆ˜๋„ ์ ์  ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ์ œ์ฃผํ•ญ ๋ถ€๋‘์‹œ์„ค์€ ์ƒ๋Œ€์ ์œผ๋กœ ํฌ๊ฒŒ ๊ฐœ์„ ๋˜๊ฑฐ๋‚˜ ํ™•์žฅ๋˜์ง€ ๋ชปํ•ด ์ œ์ฃผํ•ญ ์—ฌ๊ฐ์„  ๋ถ€๋‘์˜ ์ ‘์•ˆ๋Šฅ๋ ฅ์„ ์ดˆ๊ณผํ•˜๋Š” ์นดํŽ˜๋ฆฌ์—ฌ๊ฐ์„ ๋“ค์ด ๋ถ€๋‘์— ๊ณ„๋ฅ˜ํ•˜๋Š” ์‚ฌ๋ก€๊ฐ€ ๊ณ„์†ํ•ด์„œ ๋ฐœ์ƒํ•˜๊ณ  ์žˆ๋‹ค. ๋ถ€๋‘์˜ ์„ค๊ณ„ ์ ‘์•ˆ๋Šฅ๋ ฅ์„ ์ดˆ๊ณผํ•˜๋Š” ์นดํŽ˜๋ฆฌ์—ฌ๊ฐ์„ ์ด ๋ถ€๋‘์— ๊ณ„๋ฅ˜ ์ค‘์ผ ๋•Œ ๊ฐ‘์ž‘์Šค๋Ÿฌ์šด ๊ฐ•ํ•œ ์™ธ๋ ฅ์ด ์ž‘์šฉํ•  ๊ฒฝ์šฐ ์„ ๋ฐ•์˜ ๊ณ„๋ฅ˜์š”์†Œ๋ณ„๋กœ ํ—ˆ์šฉ ๊ฐ€๋Šฅํ•œ ํž˜์„ ์ดˆ๊ณผํ•˜๋Š” ์ผ์ด ๋ฐœ์ƒํ•˜๊ฒŒ ๋œ๋‹ค. ์ด๋กœ ์ธํ•ด ๋ถ€๋‘ ๊ณ„๋ฅ˜์‹œ์„ค์˜ ํŒŒ์†๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์„ ๋ฐ•์ด ๋ถ€๋‘์—์„œ ๋–จ์–ด์ง€๋Š” ์ƒํ™ฉ์ด ๋ฐœ์ƒํ•˜๋ฉด ์—ฌ๊ฐ์˜ ์ธ๋ช…์‚ฌ๊ณ ๊นŒ์ง€ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ํ•ด์–‘์‚ฌ๊ณ ๋กœ ์ด์–ด์งˆ ์ˆ˜ ์žˆ๊ธฐ์— ์ ์ ˆํ•œ ์กฐ์น˜ ๋ฐ ๋Œ€์‘๋ฐฉ์•ˆ์ด ํ•„์š”ํ•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ตญ๋‚ด ๋‹ค์–‘ํ•œ ๊ณ„๋ฅ˜์•ˆ์ „์„ฑ ํ‰๊ฐ€์— ์ฃผ๋กœ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ๋Š” ์„ ๋ฐ• ๊ณ„๋ฅ˜ํ•ด์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ํ”„๋กœ๊ทธ๋žจ์ธ OPTIMOOR ํ”„๋กœ๊ทธ๋žจ์„ ์ด์šฉํ•˜์˜€๋‹ค. ์ œ์ฃผํ•ญ์— ๊ธฐํ•ญํ•˜๋Š” ๋‚ดํ•ญ ์นดํŽ˜๋ฆฌ์—ฌ๊ฐ์„  ์ค‘ ์ œ์ฃผํ•ญ ๋ถ€๋‘์„ค๊ณ„ ํ•œ๊ณ„๋ฅผ ์ดˆ๊ณผํ•˜๋Š” ํฌ๊ธฐ์˜ ์นดํŽ˜๋ฆฌ์—ฌ๊ฐ์„ ์— ๋Œ€ํ•˜์—ฌ ๋Œ€์ƒ ํ•ด์—ญ์—์„œ ๋ฐœ์ƒ ๊ฐ€๋Šฅํ•œ ์™ธ๋ ฅ ํ™˜๊ฒฝ์กฐ๊ฑด ์†์— ํ˜„ ๊ณ„๋ฅ˜์ƒํƒœ์— ๋Œ€ํ•œ ๊ณ„๋ฅ˜์•ˆ์ „์„ฑ ํ‰๊ฐ€๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ํ˜„์žฌ ๋Œ€์ƒ๋ถ€๋‘ ๋ฐ ๋Œ€์ƒ์„ ๋ฐ•์˜ ๊ณ„๋ฅ˜์•ˆ์ „์„ฑ๊ณผ ๊ณ„๋ฅ˜ ํ™˜๊ฒฝ์— ๋Œ€ํ•œ ์ ์ •์„ฑ์„ ๊ฒ€ํ† ํ•˜๊ณ  ๊ณ„๋ฅ˜์•ˆ์ „์„ฑ์ด ์ทจ์•ฝํ•œ ๋ถ€๋ถ„์€ ์–ด๋–ค ์š”์†Œ์ธ์ง€๋ฅผ ํŒŒ์•…ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ๋˜ํ•œ, ๋Œ€์ƒ๋ถ€๋‘์™€ ๋Œ€์ƒ์„ ๋ฐ•์˜ ๊ณ„๋ฅ˜์•ˆ์ „์„ฑ ํ‰๊ฐ€๋ฅผ ํ†ตํ•ด ๋„์ถœ๋œ ์œ„ํ—˜ ์š”์†Œ๋ฅผ ๊ฐœ์„ ํ•˜๊ธฐ ์œ„ํ•œ ๊ฐ์ข… ๊ด€๋ จ ๋ฌธํ—Œ ๋ฐ ๊ตญ์™ธ ๊ฐœ์„ ์‚ฌ๋ก€๋ฅผ ์กฐ์‚ฌํ•˜๊ณ  ํ˜„์‹ค์ ์œผ๋กœ ์ ์šฉ ๊ฐ€๋Šฅํ•œ ๋ฒ”์œ„์˜ ๊ฐœ์„ ๋ฐฉ์•ˆ๋ณ„ ํŠน์ • ์™ธ๋ ฅ ์กฐ๊ฑด์—์„œ์˜ ๊ณ„๋ฅ˜์•ˆ์ „์„ฑ ๋ฏผ๊ฐ๋„ ๋ถ„์„์„ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ๊ทธ ๊ฒฐ๊ณผ 2๋ถ€๋‘ ์•„๋ฆฌ์˜จ ์ œ์ฃผํ˜ธ์˜ ๊ฒฝ์šฐ, ์šดํ•ญ์ž ๊ด€์ ์˜ ๊ฐœ์„ ์•ˆ ์‹œ๋‚˜๋ฆฌ์˜ค์ธ Case 1~4์˜ ๊ฒฝ์šฐ์—๋Š” ๊ณ„์„ ์ฃผ์˜ ํฌ๊ธฐ๋กœ ์ธํ•œ ์ตœ๋Œ€๊ฒฌ์ธ๋ ฅ ์ดˆ๊ณผ ๋ฌธ์ œ๋กœ ์ธํ•ด ๊ณ„๋ฅ˜์•ˆ์ „์„ฑ์ด ํ™•๋ณด๋˜์ง€ ๋ชปํ•˜์˜€๋‹ค. โ€˜High Height Bittโ€™ ์ถ”๊ฐ€ ์„ค์น˜๋ฅผ ํ†ตํ•œ ๊ฐœ์„ ์•ˆ ์‹œ๋‚˜๋ฆฌ์˜ค Case 5์˜ ๊ฒฝ์šฐ ๊ณ„๋ฅ˜์‚ญ์€ ๋ชจ๋“  ๋ผ์ธ์ด ํŒŒ๋‹จ๊ฐ•๋„์˜ ์•ฝ 23% ์ดํ•˜์˜ ํ•˜์ค‘์ด ์ž‘์šฉํ•˜๊ณ , ๊ณ„์„ ์ฃผ๋„ ์ตœ๋Œ€๊ฒฌ์ธ๋ ฅ 44% ์ดํ•˜ ์ˆ˜์ค€์˜ ํ•˜์ค‘์ด ์ž‘์šฉํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์–ด ๊ณ„๋ฅ˜์•ˆ์ „์„ฑ์ด ํ™•๋ณด๋˜๋Š” ๊ฒƒ์œผ๋กœ ํ‰๊ฐ€๋˜์—ˆ๋‹ค. 6๋ถ€๋‘ ํ€ธ๋ฉ”๋ฆฌํ˜ธ์˜ ๊ฒฝ์šฐ, ์—ฌ๋Ÿฌ ๊ฐœ์„ ๋ฐฉ์•ˆ ์ค‘ ์‹œ๋‚˜๋ฆฌ์˜ค Case 5์˜ ๊ฒฝ์šฐ ๊ณ„๋ฅ˜์‚ญ์€ ๋ชจ๋“  ๋ผ์ธ์ด ํŒŒ๋‹จ๊ฐ•๋„์˜ 17% ์ดํ•˜์˜ ํ•˜์ค‘์ด ์ž‘์šฉํ•˜๊ณ , ๊ณ„์„ ์ฃผ๋„ ์ตœ๋Œ€๊ฒฌ์ธ๋ ฅ 38% ์ดํ•˜ ์ˆ˜์ค€์˜ ํ•˜์ค‘์ด ์ž‘์šฉํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์–ด ๊ณ„๋ฅ˜์•ˆ์ „์„ฑ์ด ๊ฐœ์„ ๋˜๋Š” ๊ฒƒ์œผ๋กœ ํ‰๊ฐ€๋˜์—ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ์ œ์ฃผํ•ญ ์—ฌ๊ฐ์„  ๋ถ€๋‘์˜ ๋ถ€๋‘์„ค๊ณ„ ์ ‘์•ˆ๋Šฅ๋ ฅ์„ ์ดˆ๊ณผํ•˜๋Š” ํฌ๊ธฐ์˜ ์นดํŽ˜๋ฆฌ์—ฌ๊ฐ์„ ๋“ค์— ๋Œ€ํ•œ ๊ณ„๋ฅ˜์•ˆ์ „์„ฑ ๊ด€๋ จ ์ •๋Ÿ‰์  ๋ฐ์ดํ„ฐ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๊ณ„๋ฅ˜์‹œ์„ค์˜ ์œ„ํ—˜๋„์™€ ๊ณ„๋ฅ˜ ํ™˜๊ฒฝ ๊ฐœ์„  ํšจ๊ณผ๋ฅผ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋Š” ์•ˆ์ „ํ•œ ์—ฌ๊ฐ์„  ๋ถ€๋‘์‹œ์„ค ๊ตฌ์ถ• ๋ฐ ์นดํŽ˜๋ฆฌ์—ฌ๊ฐ์„  ๊ณ„๋ฅ˜์ง€์นจ ๊ฐœ๋ฐœ ๋“ฑ์„ ์œ„ํ•œ ์ฐธ๊ณ ์ž๋ฃŒ๋กœ ํ™œ์šฉ ๊ฐ€๋Šฅํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค.1. ์„œ ๋ก  1 1.1 ์—ฐ๊ตฌ๋ฐฐ๊ฒฝ 1 1.2 ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 3 2. ์—ฐ๊ตฌ๋Œ€์ƒ ํ˜„ํ™ฉ ๋ฐ ์„ ์ • 6 2.1 ์ œ์ฃผํ•ญ ๊ฐœ์š” 6 2.2 ๋Œ€์ƒ๋ถ€๋‘ 11 2.3 ๋Œ€์ƒ์„ ๋ฐ• 12 3. ๊ณ„๋ฅ˜์•ˆ์ „์„ฑ ํ‰๊ฐ€ ๊ฐœ์š” 15 3.1 ์„ ๋ฐ•์˜ ๊ณ„๋ฅ˜ 15 3.2 ๊ณ„๋ฅ˜ ์„ ๋ฐ•์˜ ์šด๋™ 16 3.3 ๊ณ„๋ฅ˜ ์„ ๋ฐ•์— ์ž‘์šฉํ•˜๋Š” ํž˜ 19 3.3.1 ํ’๋ ฅ 19 3.3.2 ์กฐ๋ฅ˜๋ ฅ 22 3.3.3 ํŒŒ๋ ฅ 23 3.3.4 ๊ณ„๋ฅ˜๋ ฅ 24 3.4 ๊ณ„๋ฅ˜์•ˆ์ „์„ฑ ํ‰๊ฐ€ ๋ชจ๋ธ๋ง 26 3.4.1 ํ‰๊ฐ€ ๊ฐœ์š” 26 3.4.2 ํ‰๊ฐ€ ์ขŒํ‘œ๊ณ„ ๋ฐ ๋ถ€ํ˜ธ ๊ทœ์•ฝ 28 3.4.3 ๋Œ€์ƒ๋ถ€๋‘ ๋ชจ๋ธ๋ง 31 3.4.4 ๋Œ€์ƒ์„ ๋ฐ• ๋ชจ๋ธ๋ง 37 3.4.5 ํ™˜๊ฒฝ ์™ธ๋ ฅ ์กฐ๊ฑด ์„ค์ • 42 3.5 ๊ณ„๋ฅ˜์•ˆ์ „์„ฑ ํ‰๊ฐ€ ์‹œ๋‚˜๋ฆฌ์˜ค ๋ฐ ๊ธฐ์ค€ ์„ค์ • 49 3.5.1 ์™ธ๋ ฅ ์กฐ๊ฑด ๋ฐ ์‹œ๋‚˜๋ฆฌ์˜ค ์„ค์ • 49 3.5.2 ๊ณ„๋ฅ˜์•ˆ์ „์„ฑ ํ‰๊ฐ€ ๊ธฐ์ค€ ์„ค์ • 49 4. ๊ณ„๋ฅ˜์•ˆ์ „์„ฑ ํ‰๊ฐ€๊ฒฐ๊ณผ 51 4.1 ์•„๋ฆฌ์˜จ ์ œ์ฃผ(2๋ถ€๋‘) ํ‰๊ฐ€๊ฒฐ๊ณผ 51 4.1.1 ๊ณ„๋ฅ˜์‚ญ ์ตœ๋Œ€์žฅ๋ ฅ 52 4.1.2 ๊ณ„์„ ์ฃผ ์ตœ๋Œ€๊ฒฌ์ธ๋ ฅ 55 4.1.3 ๋ฐฉ์ถฉ์žฌ ์ตœ๋Œ€๋ฐ˜๋ ฅ 56 4.1.4 ํ•˜์—ญ์•ˆ์ „์„ฑ 57 4.2 ํ€ธ๋ฉ”๋ฆฌ(6๋ถ€๋‘) ํ‰๊ฐ€๊ฒฐ๊ณผ 58 4.2.1 ๊ณ„๋ฅ˜์‚ญ ์ตœ๋Œ€์žฅ๋ ฅ 59 4.2.2 ๊ณ„์„ ์ฃผ ์ตœ๋Œ€๊ฒฌ์ธ๋ ฅ 62 4.2.3 ๋ฐฉ์ถฉ์žฌ ์ตœ๋Œ€๋ฐ˜๋ ฅ 63 4.2.4 ํ•˜์—ญ์•ˆ์ „์„ฑ 64 4.3 ์ข…ํ•ฉ ๋ถ„์„ ๊ฒฐ๊ณผ 65 5. ๊ณ„๋ฅ˜ ํ™˜๊ฒฝ ๊ฐœ์„ ์•ˆ ๋ถ„์„ 67 5.1 ๊ณ„๋ฅ˜ ํ™˜๊ฒฝ ๊ฐœ์„ ๋ฐฉ์•ˆ ๊ฒ€ํ†  67 5.1.1 ์—ฐ๊ตฌ์‚ฌ๋ก€ ๋ถ„์„ 67 5.1.2 ๊ตญ์™ธ ๊ณ„๋ฅ˜ ํ™˜๊ฒฝ ๊ฐœ์„ ์‚ฌ๋ก€ 70 5.2 ๊ณ„๋ฅ˜ ํ™˜๊ฒฝ ๊ฐœ์„  ์‹œ๋‚˜๋ฆฌ์˜ค ๋„์ถœ ๋ฐ ๋ฏผ๊ฐ๋„ ๋ถ„์„ 72 5.2.1 2๋ถ€๋‘ ๊ฐœ์„ ๊ฒฐ๊ณผ ๋ฏผ๊ฐ๋„ ๋ถ„์„ 72 5.2.2 6๋ถ€๋‘ ๊ฐœ์„ ๊ฒฐ๊ณผ ๋ฏผ๊ฐ๋„ ๋ถ„์„ 80 6. ๊ฒฐ ๋ก  88 ์ฐธ๊ณ ๋ฌธํ—Œ(References) 91Maste

    A Study on ship underwater radiated noise measurement and noise sources localization method

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์กฐ์„ ํ•ด์–‘๊ณตํ•™๊ณผ, 2015. 2. ์„ฑ์šฐ์ œ.์„ ๋ฐ•์˜ ์ˆ˜์ค‘๋ฐฉ์‚ฌ์†Œ์Œ ์ค€์œ„๋Š” ํ•จ์ •์˜ ์ƒ์กด์„ฑ๊ณผ ์ง๊ฒฐ๋˜๋Š” ํŠน์ˆ˜ ์„ฑ๋Šฅ์œผ๋กœ, ํ•จ์ • ๊ฑด์กฐ์‹œ์˜ ํ‰๊ฐ€ ๊ธฐ์ค€ ๋‹ฌ์„ฑ์„ ์œ„ํ•œ ์ˆ˜์ค‘๋ฐฉ์‚ฌ์†Œ์Œ ์ธก์ •์ด ํ•„์ˆ˜์ ์œผ๋กœ ์š”๊ตฌ๋˜๊ณ  ์žˆ๋‹ค. ๋˜ํ•œ ์ƒ์„ ์˜ ๋Œ€ํ˜•ํ™”์™€ ๋ฌผ๋™๋Ÿ‰ ์ฆ๊ฐ€๋กœ ์†Œ์Œ์ค€์œ„๊ฐ€ ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ํ•ด์–‘์ƒํƒœ๊ณ„์—๋„ ์˜ํ–ฅ์„ ์ฃผ๊ฒŒ ๋˜์–ด ๊ตญ์ œ์ ์œผ๋กœ ์„ ๋ฐ• ์ˆ˜์ค‘๋ฐฉ์‚ฌ์†Œ์Œ์— ๋Œ€ํ•œ ๊ทœ์ œ๊ฐ€ ์ง„ํ–‰๋˜๊ณ  ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ, ์ˆ˜์ค‘๋ฐฉ์‚ฌ์†Œ์Œ์˜ ์ €๊ฐ์€ ๊ตฐํ•จ ๋ฟ๋งŒ์ด ์•„๋‹ˆ๋ผ ์ƒ์„ ์—์„œ๋„ ์ค‘์š”ํ•œ ๋ถ„์•ผ๋กœ ์ธ์‹๋˜๊ณ  ์žˆ๋‹ค. ์„ ๋ฐ•์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์ˆ˜์ค‘๋ฐฉ์‚ฌ์†Œ์Œ ์ค‘ ๊ธฐ๊ณ„๋ฅ˜ ์†Œ์Œ์€ ์„ ๋ฐ• ๋‚ด๋ถ€์—์„œ ํšŒ์ „/์™•๋ณต ์šด๋™ํ•˜๋Š” ์—”์ง„/ํŽŒํ”„ ๋“ฑ์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์†Œ์Œ์œผ๋กœ, ์ด์— ๋Œ€ํ•œ ์ˆ˜์ค‘๋ฐฉ์‚ฌ์†Œ์Œ์„ ์ €๊ฐํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๋จผ์ € ์„ ๋ฐ• ๋‚ด๋ถ€ ์†Œ์Œ์›์˜ ์œ„์น˜๋ฅผ ํŒŒ์•…ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๊ตญ๋‚ด์—์„œ ์šด์šฉ์ค‘์ธ ์ˆ˜์ง ์„  ๋ฐฐ์—ด ์ฒด๊ณ„์— ๋„ํ”Œ๋Ÿฌ ๋ฐฉ๋ฒ•์„ ์ ์šฉํ•˜์—ฌ ์„ ๋ฐ• ๋‚ด๋ถ€์— ์ˆ˜ํ‰์œผ๋กœ ์œ„์น˜ํ•œ ์†Œ์Œ์›์˜ ์œ„์น˜๋ฅผ ์ถ”์ •ํ•˜๋Š” ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ์ˆ˜์ค‘์ฒญ์Œ๊ธฐ์˜ ๋ฐฐ์น˜ ์œ„์น˜ ๋ฐ ์ธก์ • ๋Œ€์ƒ ์„ ๋ฐ•์˜ ์ฃผํ–‰ ์กฐ๊ฑด์— ๋”ฐ๋ฅธ ์†Œ์Œ์› ์œ„์น˜ ์ถ”์ • ๋ชจ๋ธ์„ ์—ฐ๊ตฌํ•˜์—ฌ ๋ชจ์˜๋ฅผ ์‹ค์‹œํ•˜์˜€๊ณ , ๋ชจ์˜ ๊ฒฐ๊ณผ ๊ธฐ์กด ์ˆ˜์ง ์„  ๋ฐฐ์—ด ์ฒด๊ณ„์—์„œ ๋ณ„๋„์˜ ์„ค๋น„ ์—†์ด ๋„ํ”Œ๋Ÿฌ ๋ฐฉ๋ฒ•์„ ์ด์šฉํ•œ ์†Œ์Œ์›์˜ ์œ„์น˜ ์ถ”์ •์ด ๊ฐ€๋Šฅํ•จ์„ ํ™•์ธํ•˜์˜€๋‹ค.์ดˆ ๋ก โ…ฐ ํ‘œ ๋ชฉ์ฐจ โ…ณ ๊ทธ๋ฆผ ๋ชฉ์ฐจ โ…ด 1. ์„œ๋ก  1 1.1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ 1 1.2. ์—ฐ๊ตฌ ํ˜„ํ™ฉ 3 1.2.1. ๊ตญ์™ธ ๊ธฐ์ˆ  ํ˜„ํ™ฉ 3 1.2.2. ๊ตญ๋‚ด ๊ธฐ์ˆ  ํ˜„ํ™ฉ 6 1.3. ์—ฐ๊ตฌ ๊ฐœ์š” 6 2. ์„ ๋ฐ• ์ˆ˜์ค‘๋ฐฉ์‚ฌ์†Œ์Œ ์‹ ํ˜ธ์ฒ˜๋ฆฌ ์•Œ๊ณ ๋ฆฌ์ฆ˜ 8 2.1. ์ŠคํŽ™ํŠธ๋Ÿผ ๋ถ„์„ 8 2.2. DEMON ์•Œ๊ณ ๋ฆฌ์ฆ˜ 9 2.3. LOFAR ์•Œ๊ณ ๋ฆฌ์ฆ˜ 11 2.4. ์Œ์›์ค€์œ„ ์ถ”์ • 12 2.4.1. ์‹œํ—˜ ํ™˜๊ฒฝ ์„ค์ • 12 2.4.2. ๋ฐฐ๊ฒฝ ์†Œ์Œ ์กฐ์ • 13 2.4.3. ๊ฐ๋„ ์กฐ์ • 13 2.4.4. ๊ฑฐ๋ฆฌ ์ •๊ทœํ™” 14 2.4.5. ํ›„์ฒ˜๋ฆฌ 14 3. ์†Œ์Œ์› ์œ„์น˜ ์ถ”์ • ๋ฐฉ๋ฒ• 15 3.1. ์ปจ๋ฒค์…”๋„ ๋น”ํ˜•์„ฑ ๋ฐฉ๋ฒ• 15 3.2. ๋„ํ”Œ๋Ÿฌ ๋ฐฉ๋ฒ• 19 4. 2์ฐจ์› ์†Œ์Œ์›์˜ ์œ„์น˜ ์ถ”์ • ๋ชจ๋ธ 22 4.1. ์œ„์น˜ ์ถ”์ • ๋ชจ๋ธ 22 4.1.1. ์ถ”์ • ๋ชจ๋ธ Case 1 24 4.1.2. ์ถ”์ • ๋ชจ๋ธ Case 2 28 4.2. ์ถ”์ • ๋ชจ๋ธ ๋ชจ์˜ ๊ฒฐ๊ณผ 31 5. ๊ฒฐ๋ก  34 ์ฐธ๊ณ ๋ฌธํ—Œ 35 Abstract 36Maste
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