24 research outputs found

    ์Šคํ•€์ด 3๊ฐœ์ธ Curie-โ€“Weiss-โ€“Potts ๋ชจ๋ธ์˜ ์—๋„ˆ์ง€ ๊ฒฝ๊ด€

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์ž์—ฐ๊ณผํ•™๋Œ€ํ•™ ์ˆ˜๋ฆฌ๊ณผํ•™๋ถ€, 2022. 8. ์„œ์ธ์„.์ด ๋…ผ๋ฌธ์—์„œ 3๊ฐœ ์ด์ƒ์˜ ์Šคํ•€์œผ๋กœ ๊ตฌ์„ฑ๋œ Curieโ€“Weiss ๋ชจ๋ธ์˜ ์ผ๋ฐ˜ํ™”์ธ Curieโ€“Weissโ€“Potts ๋ชจ๋ธ๋กœ ์•Œ๋ ค์ง„ ๋‘ ๊ฐœ์˜ ๊ตฌ์„ฑ ์š”์†Œ๋ฅผ ๊ฐ€์ง€๋Š” ์Šคํ•€ ์‹œ์Šคํ…œ์˜ ์—๋„ˆ์ง€ ๊ฒฝ๊ด€์„ ์กฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค. ๋‹ค์ค‘ ๊ตฌ์„ฑ ์š”์†Œ ๋ชจ๋ธ์˜ ์—๋„ˆ์ง€ ํ™˜๊ฒฝ์—์„œ ๊ฐ€์žฅ ์ค‘์š”ํ•œ ์š”์†Œ๋Š” ๊ตฌ์„ฑ ์š”์†Œ ๊ฐ„ ์ƒํ˜ธ ์ž‘์šฉ ๊ฐ•๋„์™€ ๊ตฌ์„ฑ ์š”์†Œ๋ณ„ ์ƒํ˜ธ ์ž‘ ์šฉ ๊ฐ•๋„ ๊ฐ„์˜ ์ƒ๋Œ€์  ๊ฐ•๋„์ž…๋‹ˆ๋‹ค. ๊ตฌ์„ฑ ์š”์†Œ ๊ฐ„์˜ ์ƒํ˜ธ ์ž‘์šฉ์ด ๊ตฌ์„ฑ ์š”์†Œ๋ณ„ ์ƒํ˜ธ ์ž‘์šฉ๋ณด๋‹ค ๊ฐ•ํ•˜๋ฉด ์ค€์•ˆ์ • ์ „ํ™˜ ๊ณผ์ •์—์„œ ๋ชจ๋“  ๊ตฌ์„ฑ ์š”์†Œ๊ฐ€ ๋™๊ธฐํ™”๋  ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ตฌ์„ฑ ์š”์†Œ ๊ฐ„ ์ƒํ˜ธ ์ž‘์šฉ์ด ์ƒ๋Œ€์ ์œผ๋กœ ์•ฝํ•˜๋ฉด ์ค€์•ˆ์ • ์ „ํ™˜ ๊ณผ์ •์—์„œ ๊ตฌ์„ฑ ์š”์†Œ๊ฐ€ ๋™๊ธฐํ™”๋˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ๋‘ ๊ฐœ์˜ ๊ตฌ์„ฑ ์š”์†Œ๋ฅผ ๊ฐ€์ง€๋Š” Curieโ€“Weiss ๋ชจ๋ธ์˜ ๊ฒฝ์šฐ ๋™๊ธฐํ™”์—์„œ ๋น„๋™๊ธฐํ™”๋กœ์˜ ์œ„ ์ƒ ์ „์ด๋Š” ํ‰๊ท  ํ•„๋“œ ํŠน์„ฑ์œผ๋กœ ์ธํ•ด ์—ฐ๊ตฌ์—์„œ ์ •ํ™•ํ•˜๊ฒŒ ํŠน์„ฑํ™”๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์ด ๋…ผ๋ฌธ์˜ ๋ชฉ์ ์€ ์ด ๊ฒฐ๊ณผ๋ฅผ 3๊ฐœ์˜ ์Šคํ•€์ด ์žˆ๋Š” Curieโ€“Weissโ€“Potts ๋ชจ๋ธ๋กœ ํ™•์žฅํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์šฐ๋ฆฌ๋Š” 3-์Šคํ•€์˜ ๊ฒฝ์šฐ์— ๋Œ€ํ•œ ์ƒ์ „์ด์˜ ํŠน์„ฑ์ด CurieWeiss ๋ชจ๋ธ์˜ 2-์Šคํ•€ ๊ฒฝ์šฐ์™€ ์™„์ „ํžˆ ๋‹ค๋ฅด๋ฉฐ ๊ฒฐ๊ณผ ์œ„์ƒ ๋‹ค์ด์–ด๊ทธ๋žจ๊ณผ ํ•จ๊ป˜ ์ฆ๋ช…์ด ๊ทผ๋ณธ์ ์œผ๋กœ ๋‹ค๋ฅด๊ณ  ๋งค์šฐ ๋ณต์žกํ•˜๋‹ค๋Š” ๊ฒƒ์„ ๊ด€์ฐฐํ–ˆ์Šต๋‹ˆ๋‹ค.In this paper, we investigate the energy landscape of the two-component spin systems, known as the Curieโ€“Weissโ€“Potts model, which is a generalization of the Curieโ€“Weiss model consisting of q โ‰ฅ 3 spins. In the energy landscape of a multi-component model, the most important element is the relative strength between the inter-component interaction strength and the component-wise interaction strength. If the inter-component interaction is stronger than the component-wise interaction, we can expect all the components to be synchronized in the course of metastable transition. However, if the inter-component interaction is relatively weaker, then the components will be desynchronized in the course of metastable transition. For the two-component Curieโ€“Weiss model, the phase transition from synchronization to desynchronization has been precisely characterized in studies owing to its mean-field nature. The purpose of this paper is to extend this result to the Curieโ€“Weissโ€“Potts model with three spins. We observe that the nature of the phase transition for the three-spin case is entirely different from the two-spin case of the Curieโ€“Weiss model, and the proof as well as the resulting phase diagram is fundamentally different and exceedingly complicated.1. Introduction 1 2. Main Results 4 2.1 Two-component CurieWeissPotts Models 4 2.2 Distribution of Empirical Magnetization 6 2.3 Two Extreme Cases 8 2.4 SynchronizationDesynchronization Phase Transition 10 3. Ising Model on Bipartite Graph 13 4. Potts Model on Bipartite Graph with Three Spins 19 4.1 Critical Points of F ฮฒ , J 19 4.2 Two Extreme Cases: J = and J = 0 25 4.3 General Case: Low-Temperature Regime ( ฮฒ > ฮฒ 3 ) 30 4.4 General Case: Middle-Temperature Regime ( ฮฒ 1 < ฮฒ < ฮฒ 3 ) 41 4.5 General Case: High-Temperature Regime ( ฮฒ < ฮฒ 1 ) 44 Appendix A Proof of Proposition 2.2.2 46 Abstract (in Korean) 51์„

    A study on comparison of spatial aliasing depending on the array of variable depth streamers in broadband seismic

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    ํƒ„์„ฑํŒŒ ํƒ์‚ฌ์—์„œ ๊ณ ํ•ด์ƒ๋„์˜ ํƒ„์„ฑํŒŒ ์ž๋ฃŒ๋ฅผ ์ทจ๋“ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์ƒ˜ํ”Œ๋ง, ์Œ์› ๋ฐ ์ˆ˜์‹ ๊ธฐ ๊ตฌ์„ฑ๊ณผ ๊ฐ™์€ ํƒ์‚ฌ ์„ค๊ณ„๊ฐ€ ์ค‘์š”ํ•˜๋‹ค. ํƒ„์„ฑํŒŒ ํƒ์‚ฌ๋ฅผ ์ˆ˜ํ–‰ํ•  ๋•Œ ์ˆ˜์‹ ๊ธฐ์˜ ๊ฐ„๊ฒฉ์— ๋”ฐ๋ผ ๊ณต๊ฐ„ ์•Œ๋ฆฌ์•„์‹ฑ์ด ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋‹ค. ๊ณต๊ฐ„ ์•Œ๋ฆฌ์•„์‹ฑ์ด ์กด์žฌํ•  ๊ฒฝ์šฐ ๊ณ ํ•ด์ƒ๋„์˜ ํƒ„์„ฑํŒŒ ์ž๋ฃŒ ์ทจ๋“์— ์–ด๋ ค์›€์ด ์žˆ๋‹ค. ๋˜ํ•œ ํƒ„์„ฑํŒŒ ์ž๋ฃŒ์ฒ˜๋ฆฌ ๊ณผ์ •์— ๋ฌธ์ œ๊ฐ€ ๋ฐœ์ƒํ•˜๋ฉฐ, ๊ณต๊ฐ„ ์•Œ๋ฆฌ์•„์‹ฑ ํ˜„์ƒ์„ ์ œ๊ฑฐํ•˜๊ธฐ ์œ„ํ•ด ์ถ”๊ฐ€์ ์ธ ์ž๋ฃŒ์ฒ˜๋ฆฌ ๊ณผ์ •์ด ํ•„์š”ํ•˜๋‹ค. ์ตœ๊ทผ ๊ณ ํ•ด์ƒ๋„์˜ ํƒ„์„ฑํŒŒ ์ž๋ฃŒ๋ฅผ ์ทจ๋“ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์—ฐ๊ตฌ๊ฐ€ ํ™œ๋ฐœํ•˜๊ฒŒ ์ง„ํ–‰๋˜๊ณ  ์žˆ์œผ๋ฉฐ, ๊ณ ํ•ด์ƒ๋„์˜ ํƒ„์„ฑํŒŒ ์ž๋ฃŒ ์ทจ๋“์„ ์œ„ํ•œ ๊ธฐ์ˆ  ์ค‘ ํ•˜๋‚˜์—๋Š” ํƒ„์„ฑํŒŒ ๊ด‘๋Œ€์—ญ ํƒ์‚ฌ๊ฐ€ ์žˆ๋‹ค. ๊ด‘๋Œ€์—ญ ํƒ„์„ฑํŒŒ ํƒ์‚ฌ๋Š” ๋„“์€ ์ฃผํŒŒ์ˆ˜ ๋Œ€์—ญ์˜ ํƒ„์„ฑํŒŒ ์ž๋ฃŒ๋ฅผ ์ทจ๋“ํ•˜๋Š” ๊ธฐ์ˆ ๋กœ ๋„“์€ ์ฃผํŒŒ์ˆ˜ ๋Œ€์—ญ์œผ๋กœ ์ธํ•˜์—ฌ ๊ณ ํ•ด์ƒ๋„์˜ ํƒ„์„ฑํŒŒ ์ž๋ฃŒ๋ฅผ ์ทจ๋“ํ•  ์ˆ˜ ์žˆ๋‹ค. ๊ด‘๋Œ€์—ญ ํƒ„์„ฑํŒŒ ํƒ์‚ฌ ๊ธฐ์ˆ ์—๋Š” ๊ฐ€๋ณ€ ์‹ฌ๋„ ์ŠคํŠธ๋ฆฌ๋จธ, ์˜ค๋ฒ„/์–ธ๋” ์ŠคํŠธ๋ฆฌ๋จธ, ์ด์ค‘ ์„ผ์„œ ์ŠคํŠธ๋ฆฌ๋จธ ๋“ฑ์ด ์žˆ๋‹ค. ๊ทธ์ค‘ ๊ฐ€๋ณ€ ์‹ฌ๋„ ์ŠคํŠธ๋ฆฌ๋จธ๋ฅผ ์ด์šฉํ•œ ๊ด‘๋Œ€์—ญ ํƒ„์„ฑํŒŒ ํƒ์‚ฌ๋Š” ์ˆ˜์‹ ๊ธฐ์˜ ์‹ฌ๋„์— ๋”ฐ๋ผ ์‹ ํ˜ธ์˜ ํŠน์„ฑ์ด ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚œ๋‹ค. ๋”ฐ๋ผ์„œ ๊ฐ€๋ณ€ ์‹ฌ๋„ ์ŠคํŠธ๋ฆฌ๋จธ์˜ ๋ฐฐ์—ด์— ๋”ฐ๋ผ ๊ณต๊ฐ„ ์•Œ๋ฆฌ์•„์‹ฑ ํ˜„์ƒ์ด ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚  ๊ฒƒ์œผ๋กœ ํŒ๋‹จํ•˜๊ณ  ๊ฐ€๋ณ€ ์‹ฌ๋„ ์ŠคํŠธ๋ฆฌ๋จธ์— ๋ฐฐ์—ด์— ๋”ฐ๋ฅธ ๊ณต๊ฐ„ ์•Œ๋ฆฌ์•„์‹ฑ ํ˜„์ƒ์„ ํŒŒ์•…ํ•˜์˜€๋‹ค. ๊ฐ€๋ณ€ ์‹ฌ๋„ ์ŠคํŠธ๋ฆฌ๋จธ์˜ ๋ฐฐ์—ด์€ ์ˆ˜์‹ ๊ธฐ์˜ ๊ฐ„๊ฒฉ์™€ ๊ฐ€๋ณ€ ์‹ฌ๋„ ์ŠคํŠธ๋ฆฌ๋จธ์˜ ์‹ฌ๋„๋ฅผ ๋‹ค๋ฅด๊ฒŒ ์„ค๊ณ„ํ•˜์˜€์œผ๋ฉฐ, ํƒ„์„ฑํŒŒ ์ถ•์†Œ๋ชจํ˜• ์‹คํ—˜์„ ํ†ตํ•ด ํƒ„์„ฑํŒŒ ์ž๋ฃŒ๋ฅผ ์ทจ๋“ํ•˜์˜€๊ณ  ํƒ„์„ฑํŒŒ ์ˆ˜์น˜๋ชจํ˜• ์‹คํ—˜์„ ํ†ตํ•ด ๊ฒ€์ฆํ•˜์˜€๋‹ค. ์ถ”๊ฐ€์ ์œผ๋กœ ๊ฐ€๋ณ€ ์‹ฌ๋„ ์ŠคํŠธ๋ฆฌ๋จธ์˜ ๋ฐฐ์—ด์— ๋”ฐ๋ฅธ ์ฃผํŒŒ์ˆ˜ ์„ฑ๋ถ„๊ณผ ๊ณ ์ŠคํŠธ์— ์˜ํ•ด ๋ฐœ์ƒํ•˜๋Š” ๋…ธ์น˜๋ฅผ ํŒŒ์•…ํ•˜์˜€๋‹ค. ๋˜ํ•œ ๊ฐ€๋ณ€ ์‹ฌ๋„ ์ŠคํŠธ๋ฆฌ๋จธ๋ฅผ ์ด์šฉํ•œ ๊ด‘๋Œ€์—ญ ํƒ„์„ฑํŒŒ ํƒ์‚ฌ์™€ ์ „ํ†ต์ ์ธ ํ•ด์–‘ ํƒ„์„ฑํŒŒ ํƒ์‚ฌ์—์„œ ์ทจ๋“ํ•œ ํƒ„์„ฑํŒŒ ์ž๋ฃŒ๋ฅผ ๋ถ„์„ํ•˜์—ฌ ๊ณต๊ฐ„ ์•Œ๋ฆฌ์•„์‹ฑ ํ˜„์ƒ์„ ๋น„๊ตํ•˜์˜€๋‹ค.|In order to acquire high quality seismic data from seismic surveys, exploration design such as sampling, source and receiver configuration is important. When performing seismic surveys, spatial aliasing may occur depending on the interval of the receiver. It is difficult to acquire high quality seismic data in the presence of spatial aliasing. In addition, problems may occur in the processing of seismic data such as frequency-wavenumber filtering migration. In the broadband seismic, the technique using the variable depth streamer has different signal characteristics depending on the depth of the receiver. Therefore, the spatial aliasing characteristics will be different. In the broadband seismic, spatial aliasing was compared depending on the receiver interval and the depth of the variable depth streamer. The characteristics of the acquired signals are different when broadband seismic are compared with conventional marine seismic. Therefore, space aliasing of broadband seismic and conventional marine seismic was compared. In addition, the broadband seismic, compared the ghosts depending on the receiver interval and the depth of the variable depth streamer. In this study, broadband seismic data and conventional marine seismic data were acquired using the reduced seismic physical modeling. Numerical model data were used for verification.List of Tables โ…ณ List of Figures โ…ด Abstract (๊ตญ๋ฌธ) โ…ท Abstract (English) โ…น 1. ์„œ ๋ก  1 2. ์ด ๋ก  4 2.1 ๊ณต๊ฐ„ ์•Œ๋ฆฌ์•„์‹ฑ 4 2.2 ํƒ„์„ฑํŒŒ ์ถ•์†Œ๋ชจํ˜• ์‹คํ—˜ 6 2.3 ๊ด‘๋Œ€์—ญ ํƒ„์„ฑํŒŒ ํƒ์‚ฌ 11 2.4 ๊ณ ์ŠคํŠธ 14 3. ๋น„๊ต๋ถ„์„ 15 3.1 ๊ฐ€๋ณ€ ์‹ฌ๋„ ์ŠคํŠธ๋ฆฌ๋จธ์˜ ๋ฐฐ์—ด์— ๋”ฐ๋ฅธ ๊ณต๊ฐ„ ์•Œ๋ฆฌ์•„์‹ฑ ๋น„๊ต 17 3.1.1 ์ˆ˜์‹ ๊ธฐ ๊ฐ„๊ฒฉ์— ๋”ฐ๋ฅธ ๊ณต๊ฐ„ ์•Œ๋ฆฌ์•„์‹ฑ ๋น„๊ต 17 3.1.2 ๊ฐ€๋ณ€ ์‹ฌ๋„ ์ŠคํŠธ๋ฆฌ๋จธ์˜ ์‹ฌ๋„์— ๋”ฐ๋ฅธ ๊ณต๊ฐ„ ์•Œ๋ฆฌ์•„์‹ฑ ๋น„๊ต 23 3.2 ๊ฐ€๋ณ€ ์‹ฌ๋„ ์ŠคํŠธ๋ฆฌ๋จธ์˜ ๋ฐฐ์—ด์— ๋”ฐ๋ฅธ ์ฃผํŒŒ์ˆ˜ ์„ฑ๋ถ„ ๋น„๊ต 29 3.2.1 ์ˆ˜์‹ ๊ธฐ ๊ฐ„๊ฒฉ์— ๋”ฐ๋ฅธ ์ฃผํŒŒ์ˆ˜ ์„ฑ๋ถ„ ๋น„๊ต 30 3.2.2 ๊ฐ€๋ณ€ ์‹ฌ๋„ ์ŠคํŠธ๋ฆฌ๋จธ์˜ ์‹ฌ๋„์— ๋”ฐ๋ฅธ ์ฃผํŒŒ์ˆ˜ ์„ฑ๋ถ„ ๋น„๊ต 35 3.3 ์ „ํ†ต์ ์ธ ํ•ด์–‘ ํƒ„์„ฑํŒŒ ํƒ์‚ฌ์™€ ๊ด‘๋Œ€์—ญ ํƒ„์„ฑํŒŒ ํƒ์‚ฌ์˜ ๊ณต๊ฐ„ ์•Œ๋ฆฌ์•„์‹ฑ ๋น„๊ต 40 4. ๊ฒฐ ๋ก  50 ๊ฐ์‚ฌ์˜ ๊ธ€ 52 ์ฐธ๊ณ ๋ฌธํ—Œ 53Maste

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธๅคงๅญธๆ ก ่กŒๆ”ฟๅคงๅญธ้™ข :่กŒๆ”ฟๅญธ็ง‘ ่กŒๆ”ฟๅญธๅฐˆๆ”ป,1996.Maste

    Analysis of power shuttle characteristics of agricultural tractor transmission

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๋†๊ณตํ•™๊ณผ ๋†์—…๊ธฐ๊ณ„์ „๊ณต,2002.Docto

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