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    ์ž์—ฐํ•˜์ฒœ์—์„œ ๋ฌผ์งˆ ํ˜ผํ•ฉํ•ด์„์„ ์œ„ํ•œ ์ €์žฅ๋Œ€์—์„œ์˜ ์ •์ฒด์‹œ๊ฐ„๋ถ„ํฌ ์‚ฐ์ •

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ๊ฑด์„คํ™˜๊ฒฝ๊ณตํ•™๋ถ€, 2022.2. ์„œ์ผ์›.์ž์—ฐํ•˜์ฒœ์—์„œ ์šฉ์กด๋ฌผ์งˆ์˜ ๊ฑฐ๋™์€ ํ•˜์ฒœ์˜ ์ง€ํ˜•ํ•™์ ์ธ ์š”์ธ์œผ๋กœ ํ˜•์„ฑ๋œ ์ €์žฅ๋Œ€์˜ ์˜ํ–ฅ์— ์˜ํ•ด ํ๋ฆ„ ์˜์—ญ์˜ ํŠน์„ฑ๋งŒ์œผ๋กœ ํ•ด์„๋  ์ˆ˜ ์—†๋‹ค. ์ด๋Ÿฌํ•œ ์ €์žฅ๋Œ€ ํšจ๊ณผ๋ฅผ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•ด ์ง€๋‚œ ์ˆ˜์‹ญ๋…„๋™์•ˆ ๋‹ค์–‘ํ•œ ๊ตฌ์กฐ์˜ ์ €์žฅ๋Œ€ ๋ชจํ˜•์ด ์ œ์‹œ๋˜์–ด ์™”๋‹ค. ์šฉ์กด๋ฌผ์งˆ์˜ ํ•˜๋ฅ˜์ด์†ก์„ ์ง€์ฒด์‹œํ‚ค๋Š” ์ด๋Ÿฌํ•œ ์ €์žฅ๋Œ€์˜ ์˜ํ–ฅ์„ ๊ณ ๋ คํ•˜๊ธฐ ์œ„ํ•ด, ๊ธฐ์กด์˜ 1์ฐจ์› ์ด์†ก-๋ถ„์‚ฐ ๋ฐฉ์ •์‹์„ ๋ฐ”ํƒ•์œผ๋กœ ๋‹ค์–‘ํ•œ ํ˜•ํƒœ์˜ ์ €์žฅ๋Œ€ ๋ชจํ˜•์ด ๊ฐœ๋…์ ์œผ๋กœ ์ œ์‹œ๋˜์–ด ์™”๋‹ค. ์ด๋Ÿฌํ•œ ๋ชจํ˜•์˜ ํƒ€๋‹น์„ฑ์€ ๋Œ€๋ถ€๋ถ„ ํ๋ฆ„์˜์—ญ์—์„œ ์ธก์ •ํ•œ ์ถ”์ ์ž์˜ ๋†๋„-์‹œ๊ฐ„ ๊ณก์„ ์˜ ์‹ค์ธก๊ฐ’์œผ๋กœ๋ถ€ํ„ฐ ์ฆ๋ช…๋˜์–ด ์™”๋‹ค. ํ•˜์ง€๋งŒ, ํ๋ฆ„์˜์—ญ์—์„œ์˜ ์ถ”์ ์ž ๊ฑฐ๋™์€ ์ €์žฅ๋Œ€์˜ ์˜ํ–ฅ๋ณด๋‹ค ์ด์†ก๊ณผ ๋ถ„์‚ฐ์˜ ์˜ํ–ฅ์— ๋”์šฑ ๋ฏผ๊ฐํ•˜๊ธฐ ๋•Œ๋ฌธ์—, ์ด๋Š” ์ €์žฅ๋Œ€์˜ ์˜ํ–ฅ์„ ๋Œ€ํ‘œํ•˜๊ธฐ ์–ด๋ ค์šฐ๋ฉฐ, ์ €์žฅ๋Œ€ ๋ชจ๋ธ๋ง์€ ์ €์žฅ๋Œ€์˜ ์˜ํ–ฅ์˜ ์‹ค์ธก๊ฐ’์œผ๋กœ๋ถ€ํ„ฐ ๊ฒ€์ฆ๋˜์–ด์•ผ ํ•œ๋‹ค. ํ•˜์ง€๋งŒ, ์ž์—ฐํ•˜์ฒœ์˜ ์ €์žฅ๋Œ€๋Š” ๊ทธ ํ˜•ํƒœ๊ฐ€ ๋‹ค์–‘ํ•˜๋ฉฐ ๊ฒฝ๊ณ„๊ฐ€ ๋ชจํ˜ธํ•˜๊ธฐ ๋•Œ๋ฌธ์— ์‹ค์ธก๊ฐ’์„ ์–ป๊ธฐ ํž˜๋“  ํ•œ๊ณ„๊ฐ€ ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ด์†ก, ๋ถ„์‚ฐ์˜ ์˜ํ–ฅ๊ณผ ์ €์žฅ๋Œ€์˜ ์˜ํ–ฅ์„ ๋ช…์‹œ์ ์œผ๋กœ ๊ตฌ๋ถ„ํ•  ์ˆ˜ ์žˆ๋Š” ๋ชจํ˜•์„ ์ œ์‹œํ•˜๊ณ , ์—ญํ•ฉ์„ฑ๊ณฑ ๊ธฐ๋ฒ•์„ ์ ์šฉํ•˜์—ฌ ํ๋ฆ„์˜์—ญ์—์„œ ์ธก์ •ํ•œ ์ถ”์ ์ž์˜ ๊ฑฐ๋™์œผ๋กœ๋ถ€ํ„ฐ ์ด์†ก๊ณผ ๋ถ„์‚ฐ์˜ ์˜ํ–ฅ์„ ์ œ์™ธํ•˜์—ฌ ์ €์žฅ๋Œ€์˜ ์˜ํ–ฅ๋งŒ์„ ์ธก์ •ํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•˜์˜€๋‹ค. ์ธก์ •ํ•œ ์ €์žฅ๋Œ€์˜ ์˜ํ–ฅ์€ ๊ฐ€์žฅ ๋Œ€ํ‘œ์ ์ธ 1์ฐจ์› ์ €์žฅ๋Œ€ ๋ชจํ˜•์ธ Transient Storage Model (TSM)์˜ ๋ชจ์˜ ๊ฒฐ๊ณผ์™€ ๊ฒฐ์ •๋œ ๋งค๊ฐœ๋ณ€์ˆ˜์˜ ํƒ€๋‹น์„ฑ์„ ๊ฒ€์ฆํ•˜๋Š”๋ฐ ํ™œ์šฉ๋˜์—ˆ๋‹ค. ๊ทธ ๊ฒฐ๊ณผ TSM์˜ ๋ชจ์˜๋Š” ์‹ค์ œ ํ•˜์ฒœ์˜ ์ €์žฅ๋Œ€์˜ ์˜ํ–ฅ์„ 44%๊นŒ์ง€ ๊ณผ์†Œํ‰๊ฐ€ํ•˜๋Š” ๊ฒฐ๊ณผ๋ฅผ ๋ณด์˜€๋‹ค. ๋˜ํ•œ, ์ž์—ฐํ•˜์ฒœ์—์„œ ์ €์žฅ๋Œ€๊ฐ€ ์ˆ˜๊ณ„ ์ƒ๋ฌผํ™”ํ•™์  ๋ฐ˜์‘์˜ ์ฃผ์š” ์˜์—ญ์ด๋ผ๋Š” ์ ์„ ๊ณ ๋ คํ•˜์—ฌ, ํ‰๊ฐ€๋œ ์ •์ฒด์‹œ๊ฐ„๋ถ„ํฌ๋ฅผ ์ด์šฉํ•˜์—ฌ ์—ฌ๋Ÿฌ ์œ ๊ธฐํ™”ํ•™๋ฌผ์งˆ๋ณ„ ์ƒํ™”ํ•™์  ๋ฐ˜์‘์— ์˜ํ•œ ๊ฐ์‡ ์ •๋„๋ฅผ ํ‰๊ฐ€ํ•˜๋Š”๋ฐ ํ™œ์šฉ๋˜์—ˆ๋‹ค.The solute propagation along stream flow cannot be interpreted only by hydrodynamic properties of surface flow due to the influence from surrounding storage zones of the stream. To analyze this unidentified storage effect, various transient storage models have been proposed for recent decades. The time dependent behavior of solute within the storage zone was often modeled a conceptualized retention time function added to conventional advection-dispersion equation. The validity of these models has been predominantly demonstrated with tracer breakthrough curves measured in surface flow. However, the storage effect is less responsible for the breakthrough curve behavior than in-stream flow dynamics. For model validation purpose, tracer behavior only within storage zones should be investigated. The present study is aimed at quantifying the time-dependent storage effect, herein termed the net retention time distribution (NRTD), from tracer measurements at the flow zone using a deconvolution technique with filtering in the Fourier domain. The results showed that the deconvolved NRTDs successively represented the temporal behavior of the tracer in the storage zones without significant distortion in the observed breakthrough curves. Using the estimates of NRTD, we evaluated the validity of first-order mass transfer and its parameters of the transient storage model (TSM), which is the most widely-used storage zone model. The simulation results of the parameter-optimized TSM underestimated the inherent storage effect by as much as an average 44 %. It is also noteworthy that the larger net retention time scale the channel has, the larger discrepancy the TSMโ€™s exponential retention time function could yield.LIST OF FIGURES LIST OF TABLES LIST OF SYMBOLS LIST OF ABBREVIATIONS CHAPTER I. INTRODUCTION 1 1.1 Motivation 1 1.2 Problem Statement 3 II. THEORETICAL BACKGROUNDS 8 2.1 One-dimensional solute transport modeling 8 2.2 Conceptualization of storage mechanism 13 2.3 Determination of TSM parameters 23 2.4 Summary of literatural review 26 III. MATERIALS AND METHODS 27 3.1 Tracer experiments in a stream 27 3.1.1 Site description 27 3.1.2 Tracer Measurement 30 3.1.3 Preprocessing for Breakthrough Curves 31 3.2 Development of algorithm for storage effect quantification 32 3.2.1 Concept of residence time distribution 33 3.2.2 Convolutional Decomposition Equation (CDE) 34 3.2.3 Deconvolution technique with BTCs 39 3.2.4 Data stabilization for deconvolution 43 3.2.5 Parameter estimation 47 3.3 Net retention time distribution in TSM 52 3.4 Biodegradation of chemicals in streams 56 IV. RESULTS AND DISCUSSIONS 59 4.1 Tracer behavior in a stream 59 4.2 Net retention time distribution 66 V. APPLICATION 70 5.1 Evaluation of TSM simulation 70 5.2 Prediction of biodegradation of chemicals 78 IV. CONCLUSIONS 82 REFERENCES 85์„

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    (A) study on the utilization of cancer patients using complementary and alternative medicine

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    ์—ญํ•™๋ฐ๊ฑด๊ฐ•์ฆ์ง„ํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€] ์ด ์—ฐ๊ตฌ์—์„œ๋Š” ์•”ํ™˜์ž์˜ ๋ณด์™„๋Œ€์ฒด์š”๋ฒ•์˜ ์ด์šฉ์ˆ˜์ค€์„ ์•Œ์•„๋ณด๊ธฐ ์œ„ํ•ด 2๊ฐœ ์ข…ํ•ฉ๋ณ‘์›์˜ ์™ธ๋ž˜ ๋ฐ ์ž…์› ์•” ํ™˜์ž ์ค‘ ์ง„๋‹จ์ดํ›„ 3๊ฐœ์›”์ด ์ง€๋‚œ ํ™˜์ž ๋ฐ ๊ฐ€์กฑ์„ ๋Œ€์ƒ์œผ๋กœ ๊ตฌ์กฐํ™”๋œ ์„ค๋ฌธ์ง€๋ฅผ ์ด์šฉํ•˜์—ฌ ์กฐ์‚ฌ์›์— ์˜ํ•œ ์ง์ ‘๋ฉด์ ‘๋ฒ•์œผ๋กœ ์กฐ์‚ฌํ•˜์˜€๋‹ค. 2004๋…„ 2์›” 1์ฃผ์ผ๊ฐ„์˜ ์˜ˆ๋น„์กฐ์‚ฌ๋กœ ์ถ”๊ฐ€ํ•ญ๋ชฉ์— ๋Œ€ํ•œ ๊ฒ€ํ†  ๋ฐ ํ•ญ๋ชฉ์กฐ์ •๊ณผ ์ˆ˜์ •๊ณผ์ •์„ ๊ฑฐ์ณ 4์›”๋ถ€ํ„ฐ ๋ณธ ์กฐ์‚ฌ๋ฅผ ์‹œ์ž‘ํ•˜์—ฌ 5์›” 30์ผ๊นŒ์ง€ 6์ฃผ๊ฐ„ ์‹ค์‹œํ•˜์—ฌ, ์ตœ์ข… ๋ถ„์„๋Œ€์ƒ์ž๋Š” ์ด 736๋ช…์ด์—ˆ๋‹ค. ์—ฐ๊ตฌ์˜ ์ค‘์š”ํ•œ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ์—ฐ๊ตฌ๋Œ€์ƒ์ž์˜ ์ง€๋‚œ 3๊ฐœ์›”๊ฐ„ ๋ณด์™„๋Œ€์ฒด์š”๋ฒ•์˜ ์ด์šฉ์œจ์€ ์ „์ฒด๋Œ€์ƒ์ž์˜ 50.1% ์˜€์œผ๋ฉฐ, ์‹์ด์š”๋ฒ•์ด 39.8%, ํ•œ๋ฐฉ๋ฏผ๊ฐ„์š”๋ฒ• 13.2%, ์•ฝ๋ฌผ์š”๋ฒ• 10.1%, ํ•œ์˜ํ•™์š”๋ฒ• 2.9% ์ด์šฉํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์ด์šฉ๋ชฉ์ ์€ ์น˜๋ฃŒ๋ณด์กฐ 64.8%๋กœ, ์ฒด๋ ฅ๋ณด๊ฐ• 39.8%, ํ™˜์ž์˜ ์‹ฌ๋ฆฌ์ ยท์ •์„œ์  ์•ˆ์ • 13.3%, ์งˆํ™˜์˜ ์น˜๋ฃŒ ๋ชฉ์  10.0% ์ด์—ˆ์œผ๋ฉฐ, ๋ณด์™„๋Œ€์ฒด์š”๋ฒ• ์ด์šฉ์ž์˜ 50.8%๋Š” ๋‹ด๋‹น์˜์‚ฌ์˜ ํ™•์ธ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ณด์™„๋Œ€์ฒด์š”๋ฒ• ์ด์šฉ์‹œ ๋ถ€์ž‘์šฉ์ˆ˜์ค€์€ ์ „์ฒด(ํ‰๊ท  1.1ยฑ0.5์ )์ ์œผ๋กœ ๋ถ€์ž‘์šฉ์ด ์—†๋Š” ํŽธ์ž„์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ๋‘˜์งธ, ๋ณด์™„๋Œ€์ฒด์š”๋ฒ•์˜ ์ด์šฉ๋น„์šฉ ๋น„๊ต๋Š” ์ „์ฒด๋Œ€์ƒ์ž ์ค‘์—์„œ ์—ฌ์ž๋ณด๋‹ค๋Š” ๋‚จ์ž๊ฐ€, ๊ต์œก์ˆ˜์ค€์ด ๋†’์„์ˆ˜๋ก, ๊ทธ๋ฆฌ๊ณ  ์™ธ๋ž˜๋ณด๋‹ค๋Š” ์ž…์›์‹œ์— ๋ณด๋‹ค ๋†’์€ ๋ณด์™„๋Œ€์ฒด์š”๋ฒ•๋น„์šฉ์„ ์ง€๋ถˆํ•˜๊ณ  ์žˆ๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ๋ณด์™„๋Œ€์ฒด์š”๋ฒ• ์ด์šฉ์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์™ธ๋ž˜๋ณด๋‹ค๋Š” ์ž…์›์‹œ์— ๋ณด๋‹ค ๋†’์€ ๋ณด์™„๋Œ€์ฒด์š”๋ฒ•๋น„์šฉ์„ ์ง€๋ถˆํ•˜๊ณ  ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์…‹์งธ, ์ด์˜๋ฃŒ ๋น„์šฉ ๋Œ€๋น„ ๋ณด์™„๋Œ€์ฒด์š”๋ฒ• ๋น„์šฉ๋ถ„์œจ ๋น„๊ต๋Š” ์ „์ฒด๋Œ€์ƒ์ž ์ค‘์—์„œ ์—ฌ์ž๋ณด๋‹ค๋Š” ๋‚จ์ž๊ฐ€, ๋‹ค๋ฅธ ์•”๋ณด๋‹ค๋Š” ์œ ๋ฐฉ์•”๊ณผ ์œ„์•”์ด, ๊ทธ๋ฆฌ๊ณ  ์•”์ง„๋‹จํ›„ ๊ธฐ๊ฐ„์ด ์˜ค๋ž˜ ๊ฒฝ๊ณผํ• ์ˆ˜๋ก ๋ณด๋‹ค ๋†’์€ ๋ณด์™„๋Œ€์ฒด์š”๋ฒ• ๋น„์šฉ๋ถ„์œจ์„ ๋ณด์ด๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ๋ณด์™„๋Œ€์ฒด์š”๋ฒ• ์ด์šฉ์ž์—์„œ๋Š” ๋‚จ์ž๋ณด๋‹ค๋Š” ์—ฌ์ž๊ฐ€, ์ž…์›๋ณด๋‹ค๋Š” ์™ธ๋ž˜๊ฐ€, ๋‹ค๋ฅธ ์•”๋ณด๋‹ค๋Š” ์œ„์•”๊ณผ ์œ ๋ฐฉ์•”์ด, ๊ทธ๋ฆฌ๊ณ  ์•”์ง„๋‹จํ›„ ๊ฒฝ๊ณผ๊ธฐ๊ฐ„์ด ๊ธธ์ˆ˜๋ก ๋ณด๋‹ค ๋†’์€ ๋ณด์™„๋Œ€์ฒด์š”๋ฒ• ๋น„์šฉ๋ถ„์œจ์„ ๋ณด์ด๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋„ท์งธ, ๋ณด์™„๋Œ€์ฒด์š”๋ฒ• ์ด์šฉ๋น„์šฉ ๊ด€๋ จ์š”์ธ์„ ๋‹ค์ค‘ํšŒ๊ท€๋ถ„์„ ํ–ˆ์„ ๋•Œ ์ „์ฒด๋Œ€์ƒ์ž์—์„œ ํ•™๋ ฅ์ˆ˜์ค€์˜ ๊ฒฝ์šฐ์—๋Š” ๊ณ ์กธ(p=0.033)๊ณผ ๋Œ€ํ•™์žฌํ•™์ด์ƒ(p=0.002), ์žฌ์‚ฐ์ˆ˜์ค€์˜ ๊ฒฝ์šฐ์—๋Š” 5์ฒœ๋งŒ์› ์ด์ƒ ~ 1์–ต์› ๋ฏธ๋งŒ(p=0.015), ์•”์ข…๋ฅ˜์˜ ๊ฒฝ์šฐ์—๋Š” ๋Œ€์žฅ์•”(p=0.050), ๊ฐ„์•”(p=0.042), ๊ทธ๋ฆฌ๊ณ  ์œ ๋ฐฉ์•”(p=0.044) ๋“ฑ์ด ๋ณด์™„๋Œ€์ฒด์š”๋ฒ•๋น„์šฉ์— ์˜ํ–ฅ์„ ์ฃผ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ณด์™„๋Œ€์ฒด์š”๋ฒ• ์ด์šฉ์ž์—์„œ๋Š” ํ•™๋ ฅ์ˆ˜์ค€์˜ ๊ฒฝ์šฐ์—๋Š” ๊ณ ์กธ(p=0.036), ๋Œ€ํ•™์žฌํ•™์ด์ƒ(p=0.002), ์žฌ์‚ฐ์ˆ˜์ค€์˜ ๊ฒฝ์šฐ์—๋Š” 5์ฒœ๋งŒ์› ์ด์ƒ ~ 1์–ต์› ๋ฏธ๋งŒ(p=0.019), ์•”์ข…๋ฅ˜์˜ ๊ฒฝ์šฐ์—๋Š” ๋Œ€์žฅ์•”(p=0.049)๊ณผ ๊ฐ„์•”(p=0.049) ๋“ฑ์ด ๋ณด์™„๋Œ€์ฒด์š”๋ฒ•๋น„์šฉ์— ์˜ํ–ฅ์„ ์ฃผ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ฒฐ๋ก ์ ์œผ๋กœ ์šฐ๋ฆฌ๋‚˜๋ผ์—์„œ๋Š” ๋ณด์™„๋Œ€์ฒด์š”๋ฒ•์ด ๊ด‘๋ฒ”์œ„ํ•˜๊ฒŒ ์ด์šฉ๋˜๊ณ  ์žˆ์ง€๋งŒ, ๋ณด์™„๋Œ€์ฒด์š”๋ฒ• ์ด์šฉ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ๊ทธ๋ฆฌ ๋งŽ์ง€ ์•Š๋‹ค. ๋ณด์™„๋Œ€์ฒด์š”๋ฒ• ์ด์šฉ๊ณผ ๊ด€๋ จํ•œ ์—ฐ๊ตฌ์—์„œ๋Š” ๋ณด์™„๋Œ€์ฒด์š”๋ฒ• ์ด์šฉ์œจ์ด๋‚˜ ๋น„์šฉ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ ๋ฟ ์•„๋‹ˆ๋ผ, ๋ณด์™„๋Œ€์ฒด์š”๋ฒ• ์ด์šฉ์˜ ์ ์ •์„ฑ, ๊ณต์ค‘๋ณด๊ฑด๊ณผ ์ „์ฒด์˜๋ฃŒ์ฒด๊ณ„์—์„œ ๋ณด์™„๋Œ€์ฒด์š”๋ฒ•๊ณผ ๊ทธ ์ด์šฉ์˜ ์˜๋ฏธ์™€ ์˜ํ–ฅ์— ๋Œ€ํ•ด ์ข€ ๋” ๊นŠ์€ ์ง€์†์  ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•  ๊ฒƒ์œผ๋กœ ์ƒ๊ฐ๋œ๋‹ค. [์˜๋ฌธ]We have researched, man to man, among those patients who have been cancers for 3months (both inpatients and outpatients) and their families from 2major hospitals about using level of Complementary and Alternative Medicine(CAM) with systemized questionnaires. It had been through processes which are adding items, mediate items and modify items since Feb. 2004 for a week and finally we started main research from April to May, 30th for 6weeks. And there were 736 Below is the result. First, for last 3 months, 50.1% of subject - CAM, 39.8% of subject - Dietetic Treatment, 13.2% of subject - An herbal folk remedy, 10.1% of subject - medical therapy, 2.9% of subject - Chinese herb treatment. And the purposes of using those therapies are supporting cure - 64.8%, strengthen stamina - 39.8%, mentally, emotionally stabled - 13.3%, cure for diseases - 10.0%, 50.8% of the users of CAM have been confirmed by the doctor. Theres was no side effects of CAM as a whole(average 1.1ยฑ0.5 point). Secondly, Female patient and more educated person spent more for CAM. And patients who were hospitalized spent more than outpatients. Thirdly, in the rate of CAM cost for total medical expenses among all patients, male patient''s rate was higher than female patient''s. And the rate of CAM for breast cancer and stomach cancer had been higher than any other cancer''s since cancer was found. As for the rate of CAM cost among the users of CAM, female patient, outpatient, stomach cancer and breast cancer had been higher than male, hospitalized patient, and other cancers since cancer was found. Lastly, when done by regression analysis over the entire group of people to figure out the key cast affecting factors in terms of their educational background, wealth, and cancer types each, high-school graduates(p=0.033) and college graduate and above(p=0.002), patients with colon cancer(p=0.050), liver cancer(p=0.042), and breast cancer(p=0.044) were found to be the factors respectively. Among only the users of this method, high-school graduates(p=0.036) and college graduates and above(p=0.002) are found to be key factors determining the cost of the method, while patients with wealth of 50 to 100 million won(p=0.019) and those who suffer from colon cancer(p=0.049) and liver cancer(p=0.049) also affect its cost. In conclusion, CAM has been widely used throughout the country but not many studies about its use haven''t been conducted, Therefore, more profound studies need to be continued about the propriety of this method as well as the percentage of its use and the cost determining factors. A study of its meaning and influences on public health and the entire medical system is also demanded.ope

    Noise Simulation and Interference Pattern Analysis for Submarine Passive Sonar

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์กฐ์„ ํ•ด์–‘๊ณตํ•™๊ณผ, 2013. 2. ์„ฑ์šฐ์ œ.์ž ์ˆ˜ํ•จ์—์„œ ์  ์ˆ˜์ƒํ•จ์ด๋‚˜ ์ž ์ˆ˜ํ•จ์„ ์›๊ฑฐ๋ฆฌ์—์„œ ํƒ์ง€ํ•˜๊ณ  ๊ณต๊ฒฉ๊นŒ์ง€ ์ˆ˜ํ–‰ํ•˜๊ธฐ ์œ„ํ•œ ์žฅ๋น„๋กœ ์ˆ˜๋™์†Œ๋‚˜๋ฅผ ๋“ค ์ˆ˜ ์žˆ๋‹ค. ์ˆ˜๋™์†Œ๋‚˜์— ์ˆ˜์‹ ๋˜๋Š” ์†Œ์Œ์›์€ ์  ์ˆ˜์ƒํ•จ์ด๋‚˜ ์ž ์ˆ˜ํ•จ์˜ ๋ฐฉ์‚ฌ์†Œ์Œ๊ณผ ํ•ด์–‘ํ™˜๊ฒฝ์˜ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ํ•ด์–‘๋ฐฐ๊ฒฝ์†Œ์Œ, ์ž ์ˆ˜ํ•จ์˜ ์†๋ ฅ์— ๋”ฐ๋ผ ์ž ์ˆ˜ํ•จ ์„ ์ฒด๋ฅผ ํ๋ฅด๋ฉด์„œ ์†Œ๋‚˜์— ์ˆ˜์‹ ๋˜๋Š” ์ž์ฒด์†Œ์Œ ๋“ฑ์ด ์žˆ๋‹ค. ๊ตญ๋‚ด์˜ ๊ธฐ์กด ์ž ์ˆ˜ํ•จ ์‹œ๋ฎฌ๋ ˆ์ดํ„ฐ๋“ค์€ ์ด๋Ÿฐ ์†Œ์Œ์›๋“ค์„ ๋ชจ์˜ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์•„์ฃผ ๊ฐ„๋‹จํ•œ ์•Œ๊ณ ๋ฆฌ๋“ฌ์„ ์‚ฌ์šฉํ•˜๊ฑฐ๋‚˜ ์‹ค์ œ์›์Œ์„ ๋ถˆ๋Ÿฌ์˜ค๋Š” ๋ฐฉ์‹์œผ๋กœ ๋ชจ์˜๋ฅผ ํ•˜์˜€๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด๋Ÿฌํ•œ ๋ฐฉ์‹์€ ์‹ค์ œ ํ•ด์–‘์—์„œ ํ™˜๊ฒฝ๊ณผ ๊ธฐ๋™์‹œ๋‚˜๋ฆฌ์˜ค์— ๋”ฐ๋ผ ์ˆ˜์‹ ์Œ์˜ ๋ ˆ๋ฒจ๊ณผ ํŒจํ„ด์ด ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚  ์ˆ˜ ์žˆ๋Š” ์ ์„ ๊ฐ„๊ณผํ•˜๊ณ  ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๊ฐ ์†Œ์Œ์›๋“ค์„ ์‹ค์ œ์™€ ๊ฐ€๊น๊ฒŒ ๋ชจ์˜ํ•  ์ˆ˜ ์žˆ๋„๋ก ์•Œ๊ณ ๋ฆฌ๋“ฌ์„ ์ œ์‹œํ•˜๋ฉฐ, ๊ทธ๋Ÿฌํ•œ ์†Œ์Œ์›๋“ค์ด ์ „๋‹ฌ๋ชจ๋ธ์„ ํ†ตํ•ด ์ž ์ˆ˜ํ•จ์— ์ „๋‹ฌ๋˜๋Š” ๊ณผ์ •์„ ๋ชจ์˜ํ•˜์—ฌ ์‹ค์ œ์™€ ๊ฐ€๊นŒ์šด ์†Œ์Œ์›์„ ๋ชจ์˜ํ•˜๋Š”๋ฐ ์ค‘์ ์„ ๋‘์—ˆ๋‹ค. ์ด๋ ‡๊ฒŒ ํ•จ์œผ๋กœ์จ ์ž ์ˆ˜ํ•จ ์ˆ˜๋™์†Œ๋‚˜์— ์†Œ์Œ์› ์•Œ๊ณ ๋ฆฌ๋“ฌ์„ ์ ์šฉํ•˜์—ฌ ์ž ์ˆ˜ํ•จ ์Šน์กฐ์›๋“ค์ด ํ‰์‹œ์— ์‹œ๋ฎฌ๋ ˆ์ดํ„ฐ๋ฅผ ํ†ตํ•˜์—ฌ ์‹ค์ œ์™€ ๊ฐ€๊นŒ์šด ํ•ด์–‘ํ™˜๊ฒฝ์—์„œ ์ž ์ˆ˜ํ•จ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์ด ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•จ์œผ๋กœ์จ ์ž ์ˆ˜ํ•จ ์Šน์กฐ์›๋“ค์˜ ํ›ˆ๋ จํšจ๊ณผ๋ฅผ ๊ทน๋Œ€ํ™”ํ•˜๋Š”๋ฐ ๋„์›€์ด ๋˜๋ฆฌ๋ผ ๋ณธ๋‹ค.๊ตญ๋ฌธ์ดˆ๋ก โ…ฐ ๊ทธ๋ฆผ๋ชฉ์ฐจ โ…ณ ํ‘œ ๋ชฉ์ฐจ โ…ถ 1. ์„œ๋ก  1 1.1 ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ํ˜„ํ™ฉ 1 1.2 ์—ฐ๊ตฌ ๊ฐœ์š” 2 2. ์†Œ๋‚˜ ์‹œ๋ฎฌ๋ ˆ์ดํ„ฐ ์†Œ์Œ์› ๋ชจ์˜ ๋ฐ ๊ฒ€์ฆ 4 2.1. ์ˆ˜๋™ ์†Œ๋‚˜ ๋ชจ๋ธ๋ง 5 2.2. ์„ ๋ฐ• ํ”„๋กœํŽ ๋Ÿฌ ์†Œ์Œ ๋ชจ๋ธ๋ง 6 2.3. ์„ ๋ฐ• ๋ฐฉ์‚ฌ์†Œ์Œ์ค€์œ„ ๋ชจ๋ธ๋ง 10 2.4. ์ž ์ˆ˜ํ•จ ์ž์ฒด ์†Œ์Œ์› ๋ชจ๋ธ๋ง 16 2.5. ํ•ด์–‘ ๋ฐฐ๊ฒฝ์†Œ์Œ์› ๋ชจ๋ธ๋ง 26 3. ์†Œ์Œ์› ์ „๋‹ฌ๋ชจ๋ธ ๋ฐ ์ขŒํ‘œ๊ณ„ ์„ค์ • 34 3.1. ์†Œ์Œ์› ์ „๋‹ฌ ๋ชจ๋ธ 35 3.2. ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์ขŒํ‘œ๊ณ„ 35 3.2.1. 3์ฐจ์› ๊ธฐ๋™์— ๋”ฐ๋ฅธ ๋„ํ”Œ๋Ÿฌํšจ๊ณผ ์‚ฐ์ถœ 35 3.2.2. ๋ณ€์นจ๊ณผ ๋ณ€์นจ์œจ ์ ์šฉ 40 3.2.3 ์žํ•จ์ค‘์‹ฌ ์ขŒํ‘œ๊ณ„ 43 4. ํ•ด์–‘ํ™˜๊ฒฝ๊ณผ ๊ธฐ๋™์‹œ๋‚˜๋ฆฌ์˜ค์— ๋”ฐ๋ฅธ ๊ฐ„์„ญํŒจํ„ด ๋ถ„์„ 44 5. ์†Œ๋‚˜ ์œ„์น˜๋ณ„ ์ˆ˜์‹ ์‹ ํ˜ธ ๊ทผ์‚ฌ 48 6. ๊ฒฐ๋ก  61 ์ฐธ๊ณ ๋ฌธํ—Œ 63 Abstract 72Maste

    ์ธํ„ฐ๋„ท ์‡ผํ•‘๋ชฐ๋‚ด์˜ ๋””์ง€ํ„ธ ์ƒํ’ˆ๊ณผ ๋ฌผ๋ฆฌ์  ์ƒํ’ˆ๋ณ„ ๋น„์šฉ์šฐ์œ„ ํšจ๊ณผ ๋ถ„์„ ์—ฐ๊ตฌ : ์ „ํ†ต์‹œ์žฅ๊ณผ์˜ ๋น„๊ต๋ฅผ ์ค‘์‹ฌ์œผ๋กœ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ฒฝ์˜ํ•™๊ณผ ๊ฒฝ์˜ํ•™์ „๊ณต,2001.Maste
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