151 research outputs found

    ๋ฏธ์„ธ ์ฑ„๋„์—์„œ์˜ ํ•ญ๋ณต๋ ฅ ์œ ์ฒด ํ๋ฆ„ ๋ถ„์„

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ํ™”ํ•™์ƒ๋ฌผ๊ณตํ•™๋ถ€, 2020. 8. ๋‚จ์žฌ์šฑ.In this paper, the flow of a polymer microgel, e.g. Carbopol, in microchannel was analyzed in consideration of the effect of microgel size and slip on the wall of microchannel. From the previous flow visualization experiment, we proposed a new system that channels can move in the opposite direction of flow. This not only shows the velocity of particles but also the overall pathlines at microchannel after fully-developed flow. With a new system and particle tracking velocimetry code, We conduct the study for two direction. First, we compare the velocity profiles obtained from flow visualizations and simulations in the mid-plane of the microchannel. Simulation with constitutive equation obtained from the rheological property did not coincide with velocity profile from visualizations. For example, the experimental results was slower than computation results near the wall. The reason for this phenomenon was explained by drawing pathlines of particles. Additionally, we suggest the method to find parameters for constitutive equations from the small-gap rheometry. When we compared with the results of flow visualization, it was reasonable. velocity profile from flow visualization. Second, we observe the effect of slip at wall on the velocity profiles. Unlike previous computation, which ruled out the effects of slip, the calculations proceeded with no slip condition. In our study, we consider both no slip condition and slip condition. For the fair comparison between experiment and computation results, we show that simulation with slip condition is close to the experimental results comparing with simulation with no slip condition. When we consider flow in the microchannel, we have to be careful on obtaining rheological property and considering slip condition.์ด ์—ฐ๊ตฌ์—์„œ๋Š” ๋ฒฝ์—์„œ์˜ ์Šฌ๋ฆฝ ํ˜„์ƒ๊ณผ ๋ฏธ์„ธ ์˜์—ญ์—์„œ์˜ ๋งˆ์ดํฌ๋กœ์ ค์˜ ํฌ๊ธฐ ๋น„์œจ๋กœ ์ธํ•œ ํšจ๊ณผ๋ฅผ ๊ณ ๋ คํ•˜์—ฌ ๋งˆ์ดํฌ๋กœ ์ฑ„๋„์—์„œ์˜ ์นด๋ณดํ’€๊ณผ ๊ฐ™์€ ๊ณ ๋ถ„์ž ์šฉ์•ก์˜ ํ๋ฆ„์„ ๋ถ„์„ํ•˜๊ณ ์ž ํ•œ๋‹ค. ์ด์ „์˜ ํ๋ฆ„ ์‹œ๊ฐํ™” ์—ฐ๊ตฌ๋“ค์—์„œ ๋” ๋‚˜์•„๊ฐ€, ๋งˆ์ดํฌ๋กœ ์ฑ„๋„์„ ํ๋ฆ„์˜ ๋ฐ˜๋Œ€ ๋ฐฉํ–ฅ์œผ๋กœ ์›€์ง์ผ ์ˆ˜ ์žˆ๋„๋ก ์ƒˆ๋กœ์šด ์‹œ์Šคํ…œ์„ ๊ตฌ์ถ•ํ•˜์˜€๋‹ค. ์ด ์‹œ์Šคํ…œ์€ ์ž…์ž์˜ ํ๋ฆ„๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๋งˆ์ดํฌ๋กœ ์ฑ„๋„์˜ ์ „๋ฐ˜์ ์ธ ๋‚ด๋ถ€ ์ž…์ž ์ด๋™๊ฒฝ๋กœ ๋˜ํ•œ ๊ด€์ฐฐํ•  ์ˆ˜ ์žˆ๋‹ค. ์ƒˆ๋กœ์šด ์‹œ์Šคํ…œ๊ณผ ์ž…์ž ์ถ”์  ์†๋„ ์ธก์ • ์ฝ”๋“œ๋ฅผ ๊ฐ€์ง€๊ณ  ๋‘ ๊ฐ€์ง€ ๋ฐฉํ–ฅ์œผ๋กœ ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ–ˆ๋‹ค. ์ฒซ ๋ฒˆ์งธ๋กœ, ๊ธฐ์กด ์‹คํ—˜๋“ค๊ณผ ๊ฐ™์ด ์ฑ„๋„ ์ค‘์•™์—์„œ ํ๋ฆ„ ์‹œ๊ฐํ™”๋ฅผ ํ†ตํ•ด ๊ตฌํ•œ ์†๋„ ํ”„๋กœํŒŒ์ผ๊ณผ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๋ฅผ ๋น„๊ตํ•˜์˜€๋‹ค. ์ด ๋‘ ๊ฒฐ๊ณผ๋Š” ์ผ์น˜ํ•˜์ง€ ์•Š์•˜๊ณ , ๋ฒฝ ๊ทผ์ฒ˜์—์„œ์˜ ์‹ค์ œ ํ๋ฆ„ ์†๋„๊ฐ€ ์ด๋ก ์ ์œผ๋กœ ๊ณ„์‚ฐ๋œ ๊ฒฐ๊ณผ๋ณด๋‹ค ๋Š๋ ธ๋‹ค. ์ด ํ˜„์ƒ์˜ ์ด์œ ๋ฅผ ์ฑ„๋„ ๋‚ด๋ถ€ ํ๋ฆ„ ์† ํ˜•๊ด‘์ž…์ž์˜ ์ด๋™๊ฒฝ๋กœ๋ฅผ ํ†ตํ•ด ์„ค๋ช…ํ•˜์˜€๋‹ค. ์ถ”๊ฐ€์ ์œผ๋กœ, ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ํ๋ฆ„ ์‹œ๊ฐํ™”์˜ ์†๋„ ํ”„๋กœํŒŒ์ผ์— ๋งž๋„๋ก ํ”ผํŒ…ํ•  ๋•Œ, ์ ํ•ฉํ•œ ํŒŒ๋ผ๋ฏธํ„ฐ๋ฅผ ๋ ˆ์˜ค๋ฏธํ„ฐ ๋ฐ์ดํ„ฐ๋กœ๋ถ€ํ„ฐ ์ฐพ์•„๋‚ผ ์ˆ˜ ์žˆ๋Š” ๊ฐ€๋Šฅ์„ฑ์„ ์ œ์‹œํ•˜์˜€๋‹ค. ๋‘ ๋ฒˆ์งธ๋กœ, ๋ฒฝ๋ฉด์—์„œ์˜ ์Šฌ๋ฆฝ์œผ๋กœ ์ธํ•ด ์†๋„ ํ”„๋กœํŒŒ์ผ์˜ ๋ถ„ํฌ์— ์ฃผ๋Š” ์˜ํ–ฅ์„ ๋ณด์•˜๋‹ค. ๊ธฐ์กด ์—ฐ๊ตฌ์—์„œ๋Š” ์Šฌ๋ฆฝ์œผ๋กœ ์ธํ•ด ๋” ํ˜๋Ÿฌ๊ฐ„ ์œ ๋Ÿ‰๋งŒํผ์„ ์ œํ•˜๊ณ  no slip condition์œผ๋กœ ๊ณ„์‚ฐํ•˜์˜€๋‹ค. ๊ฐ ๋†’์ด์—์„œ์˜ ์†๋„๋ฅผ ๊ตฌํ•œ ํ›„, ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ์™€ ํ๋ฆ„ ์‹œ๊ฐํ™” ์†๋„ ํ”„๋กœํŒŒ์ผ์„ ๋†’์ด๋ณ„๋กœ ๋น„๊ตํ•ด๋ณด์•˜๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์Šฌ๋ฆฝ์„ ๋ฐ˜์˜ํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ณ„์‚ฐ๊ฒฐ๊ณผ๊ฐ€ ์‹ค์ œ์˜ ์†๋„ ํ”„๋กœํŒŒ์ผ์„ ๋น„๊ต์  ์•Œ๋งž๊ฒŒ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒƒ์„ ํŒŒ์•…ํ–ˆ๋‹ค. ์ž‘์€ ๋งˆ์ดํฌ๋กœ์ฑ„๋„์—์„œ์˜ ํ๋ฆ„์„ ์˜ˆ์ธกํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์ž‘์€ ๊ฐญ์—์„œ ๊ตฌํ•œ ๋ ˆ์˜ค๋ฏธํ„ฐ ํŒŒ๋ผ๋ฏธํ„ฐ๋ฅผ ํ™œ์šฉํ•˜๊ณ  ์Šฌ๋ฆฝ์„ ๊ณ ๋ คํ•ด์•ผํ•œ๋‹ค.1. Introduction 9 2. Experiment 13 2.1 Fabrication of microchannel 13 2.2 Fluid preparation 14 2.3 Rheology properties 15 2.4 Micro particle tracking velocimetry 16 2.5 Computation 19 3. Results 22 3.1 Rheometer data 22 3.2 Slip velocity function at wall 23 3.3 Mid-plane velocity profile in microchannel 25 3.4 Computation with slip condition 29 4. Final Remarks 30 5. Reference 34Maste

    3์ข… ๊ตฌ๊ฐ•์Šค์บ๋„ˆ์˜ ์ •ํ™•๋„ ๋น„๊ต ํ‰๊ฐ€๋ฅผ ์œ„ํ•œ ๋น„์ž„์ƒ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์น˜๊ณผ๋Œ€ํ•™ ์น˜์˜๊ณผํ•™๊ณผ, 2023. 2. ์ž„๋ฒ”์ˆœ.As a result of the technological advances, digitalization is being applied in various areas of dentistry. As intraoral scanners are widely used for digital impression with the advantage of being easy to use and comfortable for patients, many studies are being conducted. However, new intraoral scanners with various mechanisms and characteristics are constantly pouring out, and comparative evaluation for clinical application is continuously needed. The purpose of this study is to evaluate and verify the performance of the intraoral scanner through trueness and precision comparison. In this study, trueness and precision are evaluated for the accuracy comparison of intraoral scanners (ISO 5725). The object was designed with the CAD software (SolidworksTM 2016, 3D Systems SolidWorks Corp., Waltham, MA, USA) and the model was fabricated from the NextDent C&B MFH (3D Systems, Rockhill, USA) using the 3D printer (NextDent 5100, 3D Systems, Rockhill, SC, USA). Inlay, Onlay and three-unit Bridge were produced by representing deep and narrow forms frequently used in clinical practice, and the same resin model was used in all experimental groups. Three types of intraoral scanners were evaluated: TRIOS 4ยฎ (3 Shape, Copenhagen, Denmark), I500 (Medit Co, Seoul, South Korea), COMFORT+ (DDS, Seoul, South Korea), and five scan data were obtained by the same trained researcher for consistency. The acquired data was superimposed with the reference data by the 'best-fit alignment' of the Geomagic Control XTM (3D Systems, Rock Hill, SC, USA) software, and the tolerance range was set to ยฑ30ฮผm for 3D comparison to calculate RMS (Root Mean Square). For comparison, the one-way ANOVA and Bonferroni t-test were performed with a significance level of 0.05. For trueness, the RMS values in the Inlay (36.32ฮผm~37.22ฮผm) model increased in the order of TRIOS4, COMFORT+, and I500, but the trueness tended to decrease. In Onlay (35.98ฮผm~37.22ฮผm) and three-unit Bridge (52.24ฮผm~ 56.64ฮผm) models, RMS values increased in order of I500, TRIOS4, and COMFORT+, but the trueness tended to decrease. But no significance was found between each scanner group on the All pairwise multi-analysis Bonferroni t-test (p>0.05). For precision, there was a significant difference between TRIOS4 and I500, I500 and COMFORT+ in the Inlay model (respectively p=0.027, p<0.001). In the Onlay and three-unit Bridge models, a significant difference was found between COMFORT+ and the remaining two intraoral scanners (TRIOS4, I500). Trueness and precision are lowered if the optimal distance between the scanner and the model is not maintained due to the narrow and deep part such as a three-unit bridge or the insufficient space between the units. Thus, errors tend to accumulate when the scan range increases. This study provides accuracy information on intraoral scanners, contributing to decision making it offer a view on which intraoral scanners is appropriate for use.๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ตœ๊ทผ ์†Œ๊ฐœ๋œ ๊ตฌ๊ฐ•์Šค์บ๋„ˆ์˜ ์ง„์‹ค๋„ (trueness) ๋ฐ ์ •๋ฐ€๋„ (precision) ๋น„๊ต๋ฅผ ํ†ตํ•ด ์Šค์บ๋„ˆ ์ž์ฒด ์ •ํ™•๋„ (accuracy) ๋“ฑ์˜ ์„ฑ๋Šฅ์— ๋Œ€ํ•˜์—ฌ ํ‰๊ฐ€ํ•˜๊ณ  ๊ฒ€์ฆํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ISO 5725๋ฅผ ์ฐธ๊ณ ํ•˜์—ฌ ๊ตฌ๊ฐ•์Šค์บ๋„ˆ์˜ ์ •ํ™•๋„ ๋น„๊ต๋ฅผ ์œ„ํ•ด ์ง„์‹ค๋„ ๋ฐ ์ •๋ฐ€๋„๋ฅผ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ์ง„์‹ค๋„๋Š” ๋ชจ๋ธ์Šค์บ๋„ˆ๋กœ ์ธก์ •ํ•œ ์ฐธ์กฐ ๋ฐ์ดํ„ฐ์— ๋Œ€ํ•˜์—ฌ ๊ตฌ๊ฐ•์Šค์บ๋„ˆ๋กœ ์ธก์ •ํ•œ ๋น„๊ต ๋ฐ์ดํ„ฐ ๊ฐ„์˜ ์ฐจ์ด๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” ๊ฐ’์ด๋ฉฐ, ์ •๋ฐ€๋„๋Š” 3 ์ข…๋ฅ˜์˜ ๊ตฌ๊ฐ•์Šค์บ๋„ˆ๋ฅผ ์ด์šฉํ•ด ๋ฐ˜๋ณตํ•˜์—ฌ ์–ป์€ ๋ฐ์ดํ„ฐ๋ฅผ ์„œ๋กœ ์ค‘์ฒฉํ•˜์—ฌ ์–ป์€ ์˜ค์ฐจ ๊ฐ’์ด๋‹ค. CAD ์†Œํ”„ํŠธ์›จ์–ด์ธ Solidworks 2016TM (Dassault Systรจmes SolidWorks Corp., Waltham, MA, USA) ์œผ๋กœ ๋ชจ๋ธ์„ ์„ค๊ณ„ํ•˜์˜€๊ณ , NextDent C&B MFH (3D Systems, RockHill, SC, USA) 3D ํ”„๋ฆฐํŒ… ๋ ˆ์ง„์œผ๋กœ NextDent 5100 (3D Systems, RockHill, SC, USA) 3D ํ”„๋ฆฐํ„ฐ๋ฅผ ์ด์šฉํ•˜์—ฌ ๋ชจ๋ธ๋กœ ์ œ์ž‘ํ•˜์˜€๋‹ค. ์ž„์ƒ์—์„œ ์ž์ฃผ ์“ฐ์ด๋Š” ๊นŠ๊ณ  ์ข์€ ํ˜•ํƒœ ๋“ฑ์„ ์žฌํ˜„ํ•˜์—ฌ ์ธ๋ ˆ์ด, ์˜จ๋ ˆ์ด ๋ฐ 3๋ณธ-๋ธŒ๋ฆฟ์ง€ ๋ชจ๋ธ์„ ์ œ์ž‘ํ•˜์˜€์œผ๋ฉฐ, ๋ชจ๋“  ์‹คํ—˜๊ตฐ์—์„œ ๋™์ผํ•œ ๋ ˆ์ง„ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ์ œํ’ˆ ๋น„๊ต ํ‰๊ฐ€์— ์šฉ์ดํ•˜์˜€๋‹ค. ๋˜ํ•œ, ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” TRIOS4 (3 Shape, Copenhagen, Denmark), I500 (Medit Co, Seoul, South Korea), COMFORT+ (DDS, Seoul, South Korea) 3๊ฐ€์ง€ ์ข…๋ฅ˜์˜ ๊ตฌ๊ฐ•์Šค์บ๋„ˆ๋ฅผ ํ‰๊ฐ€ํ•˜์˜€๋Š”๋ฐ, ์ผ๊ด€์„ฑ์„ ์œ„ํ•ด ์ˆ™๋ จ๋œ ๋™์ผํ•œ ์—ฐ๊ตฌ์ž์— ์˜ํ•ด ๊ฐ๊ฐ 5๊ฐœ์˜ ์Šค์บ” ๋ฐ์ดํ„ฐ๋ฅผ ์ฑ„๋“ํ•˜์˜€๋‹ค. ์ฑ„๋“๋œ ๋ฐ์ดํ„ฐ๋Š” Geomagic Control XTM (3D Systems, RockHill, SC, USA) ์†Œํ”„ํŠธ์›จ์–ด์˜ ์ตœ์  ์ ํ•ฉ ์ค‘์ฒฉ๋ฒ•(๋ฒ ์ŠคํŠธ-ํ• ์ •๋ ฌ)์„ ํ†ตํ•ด ์ฐธ์กฐ ๋ฐ์ดํ„ฐ์™€ ์ค‘์ฒฉํ•˜์˜€๊ณ , 3D ๋น„๊ต ์‹œ ํ—ˆ์šฉ๋ฒ”์œ„๋Š” ยฑ30ฮผm์œผ๋กœ ์„ค์ •ํ•˜์—ฌ RMS (Root Mean Square) ๋ฅผ ์‚ฐ์ถœํ•˜์˜€๋‹ค. ์ง„์‹ค๋„์™€ ์ •๋ฐ€๋„ ๋น„๊ต๋ฅผ ์œ„ํ•ด ์œ ์˜์ˆ˜์ค€ 0.05๋ฅผ ๊ธฐ์ค€์œผ๋กœ ์ผ์›๋ถ„์‚ฐ๋ถ„์„, Bonferroni test๋กœ ํ†ต๊ณ„ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ง„์‹ค๋„์˜ ๊ฒฝ์šฐ, ์ธ๋ ˆ์ด ๋ชจ๋ธ์—์„œ RMS ๊ฐ’์€ 36.32ฮผm~37.22ฮผm์— ๊ฑธ์ณ TRIOS4, COMFORT+, I500 ์ˆœ์œผ๋กœ ์ปค์ง€๋ฉฐ ์ง„์‹ค๋„๊ฐ€ ๋‚ฎ์•„์ง€๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์˜€๋‹ค. ์˜จ๋ ˆ์ด์™€ 3๋ณธ-๋ธŒ๋ฆฟ์ง€ ๋ชจ๋ธ์—์„œ RMS ๊ฐ’์€ ๊ฐ๊ฐ 35.98ฮผm~37.22ฮผm์™€ 52.24ฮผm~56.64ฮผm๋ฅผ ๋ณด์˜€์œผ๋‚˜, ์ผ์›๋ถ„์‚ฐ๋ถ„์„ ํ›„ ๋‹ค์ค‘๋น„๊ต๋ถ„์„ Bonferroni t-test์—์„œ ๋ชจ๋“  ๋ชจ๋ธ์— ์žˆ์–ด ๊ตฌ๊ฐ•์Šค์บ๋„ˆ ์ข…๋ฅ˜์— ๋”ฐ๋ฅธ ์ง„์‹ค๋„ ๊ฐ’์˜ ์œ ์˜ํ•œ ์ฐจ์ด๋Š” ๋ฐœ๊ฒฌ๋˜์ง€ ์•Š์•˜๋‹ค. ์ •๋ฐ€๋„์˜ ๊ฒฝ์šฐ, ์ธ๋ ˆ์ด ๋ชจ๋ธ์—์„œ TRIOS4์™€ I500, I500๊ณผ COMFORT+๊ฐ„ ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ์žˆ์—ˆ์œผ๋ฉฐ (๊ฐ๊ฐ p=0.027, p<0.001), ์˜จ๋ ˆ์ด์™€ 3๋ณธ-๋ธŒ๋ฆฟ์ง€ ๋ชจ๋ธ์—์„œ๋Š” COMFORT+์™€ ๋‚˜๋จธ์ง€ ๋‘ ์ข…๋ฅ˜์˜ ๊ตฌ๊ฐ•์Šค์บ๋„ˆ (TRIOS4, I500) ์‚ฌ์ด์—์„œ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋ฐœ๊ฒฌํ•˜์˜€๋‹ค. ๊ฒฐ๋ก ์ ์œผ๋กœ, 3๋ณธ-๋ธŒ๋ฆฟ์ง€์™€ ๊ฐ™์ด ํญ์ด ์ข๊ณ  ๊นŠ์€ ๋ถ€๋ถ„์„ ํฌํ•จํ•˜๊ณ , ๊ตฌ์„ฑ ๋‹จ์œ„(unit) ์‚ฌ์ด ๊ฐ„๊ฒฉ์ด ์ข์•„ ์Šค์บ๋„ˆ์™€ ๋ชจ๋ธ ๊ฐ„์˜ ์ตœ์ ์˜ ๊ฑฐ๋ฆฌ๊ฐ€ ํ™•๋ณด๋˜์ง€ ์•Š์„ ๊ฒฝ์šฐ ์ง„์‹ค๋„์™€ ์ •๋ฐ€๋„๋Š” ๋‚ฎ์•„์ง„๋‹ค. ๋”ํ•˜์—ฌ, ์Šค์บ”์˜ ๋ฒ”์œ„๊ฐ€ ๋„“์–ด์งˆ์ˆ˜๋ก ์˜ค์ฐจ๋Š” ์ถ•์ ๋˜์–ด ์ •ํ™•๋„๋Š” ๊ฐ์†Œํ•˜๊ฒŒ ๋œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ๊ตฌ์ถ•๋œ ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ์ž„์ƒ์—์„œ ์ ์ ˆํ•œ ๊ตฌ๊ฐ•์Šค์บ๋„ˆ์˜ ์„ ํƒ ๋ฐ ์Šค์บ” ์ „๋žต์— ๋„์›€๋˜๊ณ ์ž ํ•˜์˜€๋‹ค.โ… . INTRODUCTION 1 โ…ก. MATERIALS AND METHODS 10 โ…ข. RESULTS 16 โ…ฃ. DISCUSSION 22 โ…ค. CONCLUSIONS 30์„

    ์ƒ๋Œ€์  ์•ˆ์ „๋น„ํ–‰์˜์—ญ๊ณผ ์ƒ๋Œ€์  ๋ฒˆ์Šคํƒ€์ธ ๋‹คํ•ญ์‹์„ ์ด์šฉํ•œ ๋‹ค์ˆ˜ ์ฟผ๋“œ๋กœํ„ฐ์˜ ๊ฒฝ๋กœ ๊ณ„ํš

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™๋ถ€, 2020. 8. ๊น€ํ˜„์ง„.Multi-agent systems consisting of unmanned aerial vehicles (UAVs) are receiving attention from many industrial domains due to their mobility, and applicability. To safely operate these multiagent systems, path planning algorithm that can generate safe, dynamically feasible trajectory is required. However, existing multi-agent trajectory planning methods may fail to generate multiagent trajectory in obstacle-dense environment due to deadlock or optimization failure caused by infeasible collision constraints. In this paper, we presents a new e client algorithm which guarantees a solution for a class of multi-agent trajectory planning problems in obstacle-dense environments. Our algorithm combines the advantages of both grid-based and optimization-based approaches, and generates safe, dynamically feasible trajectories without su ering from an erroneous optimization setup such as imposing infeasible collision constraints. We adopt a sequential optimization method with dummy agents to improve the scalability of the algorithm, and utilize the convex hull property of Bernstein polynomial to replace non-convex collision avoidance constraints to convex ones. We validate the proposed algorithm through the comparison with our previous work and SCP-based method. The proposed method reduces more than 50% of the objective cost compared to our previous work, and reduces more than 75% of the computation time compared to SCP-based method. Furthermore, the proposed method can compute the trajectory for 64 agents on average 6.36 seconds with Intel Core i7-7700 @ 3.60GHz CPU and 16G RAM.๋ฌด์ธ๋น„ํ–‰์ฒด(UAV)๋กœ ๊ตฌ์„ฑ๋œ ๋‹ค์ค‘ ์—์ด์ „ํŠธ ์‹œ์Šคํ…œ์€ ๋†’์€ ๊ธฐ๋™์„ฑ ๋ฐ ์‘์šฉ ๊ฐ€๋Šฅ์„ฑ์œผ๋กœ ๋งŽ์€ ์‚ฐ์—… ๋ถ„์•ผ์—์„œ ๊ด€์‹ฌ์„ ๋ฐ›๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋‹ค์ค‘ ์—์ด์ „ํŠธ ์‹œ์Šคํ…œ์„ ์•ˆ์ „ํ•˜๊ฒŒ ์šด์šฉํ•˜๋ ค๋ฉด ์•ˆ์ „ํ•˜๊ณ  ๋™์ ์œผ๋กœ ์‹คํ˜„ ๊ฐ€๋Šฅ ๊ฒฝ๋กœ๋ฅผ ์ƒ์„ฑํ•  ์ˆ˜ ์žˆ๋Š” ๊ฒฝ๋กœ ๊ณ„ํš ์•Œ๊ณ ๋ฆฌ์ฆ˜์ด ํ•„์š”ํ•˜๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ธฐ์กด์˜ ๋‹ค์ค‘ ์—์ด์ „ํŠธ ๊ฒฝ๋กœ ๊ณ„ํš ๋ฐฉ๋ฒ•์€ ์žฅ์• ๋ฌผ ํ™˜๊ฒฝ์—์„œ ๊ต์ฐฉ ์ƒํƒœ๋‚˜ ๋ถ€์ ์ ˆํ•œ ์ถฉ๋Œ ํšŒํ”ผ ์กฐ๊ฑด์œผ๋กœ ์ธํ•œ ์ตœ์ ํ™” ์‹คํŒจ๊ฐ€ ์ผ์–ด๋‚  ์ˆ˜ ์žˆ๋‹ค๋Š” ํ•œ๊ณ„๊ฐ€ ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์žฅ์• ๋ฌผ ํ™˜๊ฒฝ์—์„œ ํ•ด์˜ ์กด์žฌ๋ฅผ ๋ณด์žฅํ•˜๋„๋ก ๋‹ค์ค‘ ์—์ด์ „ํŠธ ๊ฒฝ๋กœ ๊ณ„ํš ๋ฌธ์ œ๋ฅผ ๋ณ€ํ™˜ํ•œ ๋’ค ์ด๋ฅผ ํšจ์œจ์ ์œผ๋กœ ํ’€์–ด๋‚ผ ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ๊ฒฝ๋กœ ๊ณ„ํš ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ œ์‹œํ•œ๋‹ค. ์ด ์•Œ๊ณ ๋ฆฌ์ฆ˜์€ ๊ทธ๋ฆฌ๋“œ ๊ธฐ๋ฐ˜ ์ ‘๊ทผ๋ฒ•๊ณผ ์ตœ์ ํ™” ๊ธฐ๋ฐ˜ ์ ‘๊ทผ๋ฒ•์˜ ์žฅ์ ์„ ๋ชจ๋‘ ๊ฐ€์ง€๋„๋ก ์„ค๊ณ„๋˜์—ˆ์œผ๋ฉฐ, ๋ถˆ๊ฐ€๋Šฅํ•œ ์ถฉ๋Œ ๊ตฌ์†์กฐ๊ฑด์„ ๋ถ€๊ณผํ•˜์ง€ ์•Š๊ณ  ์•ˆ์ „ํ•˜๊ณ  ๋™์ ์œผ๋กœ ์‹คํ˜„ ๊ฐ€๋Šฅํ•œ ๊ถค์ ์„ ์ƒ์„ฑํ•  ์ˆ˜ ์žˆ๋‹ค. ์ด ์•Œ๊ณ ๋ฆฌ์ฆ˜์€ ๋”๋ฏธ ์—์ด์ „ํŠธ(dummy agents)์„ ์ด์šฉํ•œ ์ˆœ์ฐจ ์ตœ์ ํ™” ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ํ™•์žฅ์„ฑ(scalability)์„ ๋†’์˜€์œผ๋ฉฐ, ๋ฒˆ์Šคํƒ€์ธ(Bernstein) ๋‹คํ•ญ์‹์˜ ๋ณผ๋ก ๊ป์งˆ(convex hull) ์„ฑ์งˆ์„ ํ™œ์šฉํ•˜์—ฌ ๋ณผ๋กํ•˜์ง€ ์•Š์€ ์ถฉ๋Œ ํšŒํ”ผ ์ œ์•ฝ ์กฐ๊ฑด์„ ๋ณผ๋กํ™”ํ•˜์˜€๋‹ค. ์ œ์•ˆ๋œ ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ์„ฑ๋Šฅ์€ ์„ ํ–‰ ์—ฐ๊ตฌ์™€ SCP ๊ธฐ๋ฐ˜ ๋ฐฉ๋ฒ•๊ณผ์˜ ๋น„๊ต๋ฅผ ํ†ตํ•ด ๊ฒ€์ฆ๋˜์—ˆ๋‹ค. ์ œ์•ˆ๋œ ๋ฐฉ๋ฒ•์€ ์„ ํ–‰ ์—ฐ๊ตฌ์— ๋น„ํ•ด ๋ชฉํ‘œ ๋น„์šฉ์˜ 50% ์ด์ƒ ์ ˆ๊ฐํ•˜์˜€์œผ๋ฉฐ, SCP ๊ธฐ๋ฐ˜ ๋ฐฉ๋ฒ•์— ๋น„ํ•ด ๊ณ„์‚ฐ ์‹œ๊ฐ„์˜ 75% ์ด์ƒ ๊ฐ์†Œํ•˜์˜€๋‹ค. ๋˜ํ•œ ์ œ์•ˆ๋œ ๋ฐฉ๋ฒ•์€ ์ธํ…” ์ฝ”์–ด i7-7700 @ 3.60GHz CPU ๋ฐ 16G RAM ํ™˜๊ฒฝ์—์„œ 64๊ฐœ ์—์ด์ „ํŠธ์˜ ๊ถค์ ์„ ๊ณ„์‚ฐํ•˜๋Š”๋ฐ ํ‰๊ท  6.36์ดˆ๊ฐ€ ์†Œ์š”๋œ๋‹ค.1 Introduction 1 1.1 Literature review 2 1.2 Thesis contribution 3 1.3 Thesis outline 3 2 Bernstein polynomial 4 2.1 Definition 4 2.2 Properties 5 2.2.1 Convex hull property 5 2.2.2 Endpoint interpolation property 5 2.2.3 Arithmetic operations and derivatives 6 3 Multi-agent trajectory optimization 7 3.1 Problem formulation 7 3.1.1 Assumption 7 3.1.2 Trajectory Representation 8 3.1.3 Objective function 9 3.1.4 Convex constraints 9 3.1.5 Non-convex collision avoidance constraints 10 3.2 Collision constraints construction 11 3.2.1 Initial trajectory planning 12 3.2.2 Safe flight corridor 14 3.2.3 Relative safe flight corridor 16 3.3 Trajectory optimization 18 4 Sequential optimization with dummy agents 20 5 Experimental results 24 5.1 Comparison with the previous work 24 5.1.1 Success rate 25 5.1.2 Solution quality 26 5.1.3 Scalability analysis 26 5.2 Comparison with SCP-based method 27 5.3 Flight test 29 6 Conclusion 31Maste

    Triple antibiotics์™€ ๊ด€๋ จํ•œ ์น˜์•„ ๋ณ€์ƒ‰์˜ ์˜ˆ๋ฐฉ

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    Regenerative endodontics has a potential to heal a partially necrotic pulp, which can be beneficial for the continued root development and strengthening of immature teeth. For this purpose, triple antibiotic mixture of ciprofloxacin, metronidazole, and minocycline was recommended as intracanal medicament in an attempt to disinfect the root canal system for revascularization of a tooth with a necrotic pulp. However, discoloration of the tooth was reported after applying this. This case shows the idea for preventing the tooth discoloration using a delivery syringe (SW-O-01, Shinwoo dental) to avoid the contact between the clinical crown and the antibiotics.ope

    The First Case Series of Cryopyrin-Associated Periodic Syndrome in Korea

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    Cryopyrin-associated periodic syndrome (CAPS) is a hereditary autoinflammatory syndrome caused by mutations in NLRP3 (encoding cryopyrin), which presents with fever, fatigue and arthralgia. Thus far, however there have been no reports of CAPS in Korea. Herein, we report 3 cases of CAPS for the first time in Korea. The first case, a 28-year-old man with recurrent urticaria, arthralgia and fever induced by cold, all of which were observed in his father, showed elevated erythrocyte sedimentation rate and C-reactive protein. He exhibited a p.Gly303Asp variant of the NLPR3 gene. The second case, a 2-year-old girl who had recurrent urticaria, arthritis and oral and genital ulcers, was positive for HLA B51 and a p.Glu569Lys mutation in exon 3 of the NLRP3 gene. Administration of anakinra greatly improved her symptoms. The third case, a 4-year-old boy who presented with recurrent urticaria, arthralgia, and fever, exhibited a p.Val72Met mutation in exon 1 of the NLRP3 gene. Administration of tocilizumab improved all of his symptoms. This small case series suggests that clinicians consider CAPS and conduct genetic studies when arthralgia and fever are accompanied by urticaria in Korea.ope

    Comparison of bond strengths of ceramic brackets bonded to zirconia surfaces using different zirconia primers and a universal adhesive

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    Objectives: The aim of this study is to compare the shear bond strengths of ceramic brackets bonded to zirconia surfaces using different zirconia primers and universal adhesive. Materials and Methods: Fifty zirconia blocks (15 x 15 x 10 mm, Zpex, Tosoh Corporation) were polished with 1,000 grit sand paper and air-abraded with 50 microm Al2O3 for 10 seconds (40 psi). They were divided into 5 groups: control (CO), Metal/Zirconia primer (MZ, Ivoclar Vivadent), Z-PRIME Plus (ZP, Bisco), Zirconia Liner (ZL, Sun Medical), and Scotchbond Universal adhesive (SU, 3M ESPE). Transbond XT Primer (used for CO, MZ, ZP, and ZL) and Transbond XT Paste was used for bracket bonding (Gemini clear ceramic brackets, 3M Unitek). After 24 hours at 37 degrees C storage, specimens underwent 2,000 thermocycles, and then, shear bond strengths were measured (1 mm/min). An adhesive remnant index (ARI) score was calculated. The data were analyzed using one-way analysis of variance and the Bonferroni test (p = 0.05). Results: Surface treatment with primers resulted in increased shear bond strength. The SU group showed the highest shear bond strength followed by the ZP, ZL, MZ, and CO groups, in that order. The median ARI scores were as follows: CO = 0, MZ = 0, ZP = 0, ZL = 0, and SU = 3 (p < 0.05). Conclusions: Within this experiment, zirconia primer can increase the shear bond strength of bracket bonding. The highest shear bond strength is observed in SU group, even when no primer is used.ope

    Effect of moisture and drying time on the bond strength of the one-step self-etching adhesive system

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    OBJECTIVES: To investigate the effect of dentin moisture degree and air-drying time on dentin-bond strength of two different one-step self-etching adhesive systems. MATERIALS AND METHODS: Twenty-four human third molars were used for microtensile bond strength testing of G-Bond and Clearfil S(3) Bond. The dentin surface was either blot-dried or air-dried before applying these adhesive agents. After application of the adhesive agent, three different air drying times were evaluated: 1, 5, and 10 sec. Composite resin was build up to 4 mm thickness and light cured for 40 sec with 2 separate layers. Then the tooth was sectioned and trimmed to measure the microtensile bond strength using a universal testing machine. The measured bond strengths were analyzed with three-way ANOVA and regression analysis was done (p = 0.05). RESULTS: All three factors, materials, dentin wetness and air drying time, showed significant effect on the microtensile bond strength. Clearfil S(3) Bond, dry dentin surface and 10 sec air drying time showed higher bond strength. CONCLUSIONS: Within the limitation of this experiment, air drying time after the application of the one-step self-etching adhesive agent was the most significant factor affecting the bond strength, followed by the material difference and dentin moisture before applying the adhesive agent.ope

    Influence of additional etching on shear bond strength of self-etching adhesive system to enamel

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    Recently, self-etching adhesive system has been introduced to simplify the clinical bonding procedures. It is less acidic compared to the phosphoric acid, thus there is doubt whether this system has enough bond strength to enamel. The purpose of this study was to investigate the influence of additional etching on the adhesion of resin composite to enamel. Ninety extracted bovine permanent anterior teeth were used. The labial surfaces of the crown were ground with 600-grit abrasive paper under wet condition. The teeth were randomly divided into six groups of 15 teeth each. Clearfil SE Bondยฎ, Adperโ„ข Prompt L-Pop and Tyrian SPEโ„ข were used as self-etching primers. Each self-etching primers were applied in both enamel specimens with and without additional etching. For additional etching groups, enamel surface was pretreated with 32% phosphoric acid (UNI-ETCH, Bisco, Inc., Schaumburg, IL, USA). Hybrid resin composite Clearfil AP-X, (Kuraray Co., Ltd., Osaka, Japan) was packed into the mold and light-cured for 40 seconds. Twenty-four hours after storage, the specimens were tested in shear bond strength. The data for each group were subjected to independent t - test at p < 0.01 to make comparisons among the groups. In Clearfil SE Bondยฎ, shear bond strength of additional etching group was higher than no additional etching group (p 0.01). In conclusion, self-etching adhesive system with weak acid seems to have higher bond strength to enamel with additional etching, while self-etching adhesive system with strong acid seems not.ope

    Enrique Dussel. 1492. El encubrimiento del Otro. Hacia el mito

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    ์ด ์ฑ…์€ ํ•ด๋ฐฉ ์‹ ํ•™์ž๋กœ ์šฐ๋ฆฌ์—๊ฒŒ ๋” ์ž˜ ์•Œ๋ ค์ง„ ์—”๋ฆฌ์ผ€ ๋‘์…€์ด ์•„๋ฉ”๋ฆฌ์นด ๋Œ€๋ฅ™ ๋ฐœ๊ฒฌ ์˜ค๋ฐฑ์ฃผ๋…„์ด ๋˜๊ธฐ ์–ผ๋งˆ ์ „์ธ 1992๋…„ ๋…์ผ ํ”„ ๋ž‘ํฌํ‘ธ๋ฅดํŠธ์—์„œ ํ–‰ํ•œ ๊ฐ•์—ฐ๋ฌธ์„ ์ฑ…์œผ๋กœ ์—ฎ์–ด ๋‚ธ ๊ฒƒ์ด๋‹ค. ํฌ์ŠคํŠธ๋ชจ๋”๋‹ˆ์ฆ˜์ด๋ผ๋Š” ์šฉ์–ด๋„ ์ด์ œ ํ•™๋ฌธ์  ์œ ํ–‰์˜ ๋’ค์•ˆ์œผ๋กœ ์‚ฌ๋ผ์ ธ๊ฐ€๋Š” ์ฆˆ์Œ, ๋‹ค์‹œ ๊ทผ๋Œ€๋ฅผ ๋…ผํ•˜๋Š” ์ด ์ฑ…์— ๋Œ€ํ•ด์„œ, ํŠนํžˆ ๋ผํ‹ด์•„๋ฉ”๋ฆฌ์นด ๋งฅ๋ฝ์„ ํƒ๊ตฌํ•œ ๊ทธ์˜ ์ € ์ž‘์„ ์ง€๊ธˆ ํ•œ๊ตญ์—์„œ ์ฝ๋Š” ์ด์œ ๋Š” ๋ฌด์—‡์ผ๊นŒ?.
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