533 research outputs found

    Cold ions of ionospheric origin observed at the dayside magnetopause and their effects on magnetic reconnection

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    Thesis (Ph.D.) University of Alaska Fairbanks, 2015Magnetic reconnection at the dayside magnetopause is one of the most important mechanisms that efficiently transfers solar wind particles, momentum, and energy into the magnetosphere. Magnetic reconnection at the magnetopause is usually asymmetric since the plasma and magnetic field properties are quite different in the magnetosphere and the magnetosheath. Cold dense plasma, originating either directly from the ionosphere or from the plasmasphere, has often been observed at the adjacent magnetopause. These cold plasmas may affect reconnection since they modify the plasma properties on the magnetospheric side significantly. This dissertation presents case and statistical studies of the characteristics of the cold ions observed at the dayside magnetopause by using Cluster spacecraft datasets. The plasmaspheric plumes have been distinguished from the ionospheric outows using ion pitch angle distributions. The ionospheric outows feature unidirectional or bidirectional field-aligned pitch angle distributions, whereas the plasmaspheric plumes are characterized by 90ยฐ pitch angle distributions. The occurrence rates of the plasmaspheric plumes and ionospheric outows and their dependence on the solar wind/Interplanetary Magnetic Field (IMF) conditions have been investigated. It is found that the occurrence rate of plasmaspheric plume or ionospheric plasma strongly depends on the solar wind/IMF conditions. In particular, plasmaspheric plumes tend to occur during southward IMF while ionospheric outows tends to occur during northward IMF. The occurrence rate of the plasmaspheric plumes is significantly higher on the duskside than that on the dawnside, indicating that the plasmaspheric plumes may lead to a dawn-dusk asymmetry of dayside reconnection. Furthermore, this dissertation investigates the behavior of the cold dense plasma of ionospheric origin during magnetic reconnection at the dayside magnetopause. The motion of cold plasmaspheric ions entering the reconnection region differs from that of warmer magnetosheath and magnetospheric ions. In contrast to the warmer ions, which are probably accelerated by reconnection near the subsolar magnetopause, the colder ions are simply entrained by E x B drift at high latitudes on the recently reconnected magnetic field lines. This indicates that plasmaspheric ions can sometimes play a very limited role in magnetic reconnection process. Finally, this dissertation examines a controlling factor that leads to the asymmetric reconnection geometry at the magnetopause. It is demonstrated that the separatrix and ow boundary angles are greater on the magnetosheath side than on the magnetospheric side of the magnetopause, probably due to the stronger density asymmetry rather than magnetic field asymmetry at this boundary

    Chemometrics approach for species identification of pinus densiflora Sieb. et Zucc. and Pinus densiflora for. erecta Uyeki: -Species classification using near-infrared spectroscopy in combination with multivariate analysis

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    A model was designed to identify wood species between Pinus densiflora for. erecta Uyeki and Pinus densiflora Sieb. et Zucc. using the near-infrared (NIR) spectroscopy in combination with principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA). In the PCA using all of the spectra, Pinus densiflora for. erecta Uyeki and Pinus densiflora Sieb. et Zucc. could not be classified. In the PCA using the spectrum that has been measured in sapwood, however, Pinus densiflora for. erecta Uyeki and Pinus densiflora Sieb. et Zucc. could be identified. In particular, it was clearly classified by sapwood in radial section. And more, these two species could be perfectly identified using PLS-DA prediction model. The best performance in species identification was obtained when the second derivative spectra was used; the prediction accuracy was 100%. For prediction model, the Rp 2 value was 0.86 and the RMSEP was 0.38 in second derivative spectra. It was verified that the model designed by NIR spectroscopy with PLS-DA is suitable for species identification between Pinus densiflora for. erecta Uyeki and Pinus densiflora Sieb. et Zucc

    ์ผ๊ตฐ์˜ ๋™์  ๋…ผํ™€๋กœ๋…ธ๋ฏน ๊ธฐ๊ณ„์‹œ์Šคํ…œ์˜ ์ˆ˜๋™์„ฑ๊ธฐ๋ฐ˜ ์ ์‘ ๋ฐ ๊ฐ•๊ฑด ์•ˆ์ •ํ™” ์ œ์–ด๊ธฐ๋ฒ• ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™๋ถ€, 2016. 8. ์ด๋™์ค€.We present novel passivity-based stabilization control frameworks for a class of nonholonomic mechanical systems with uncertain inertial parameters. Passive configuration decomposition is first applied to configuration-level decompose the system's Lagrange-DAlembert dynamics into two separate systems. Each of these decomposed systems evolves on its respective configuration space and individually inherits Lagrangian structure and passivity from the original dynamics. Utilizing the nonlinearity and passivity of the decomposed dynamics, we then derive adaptive passivity-based time-varying control (APBVC) and robust passivity-based switching control (RPBSC) schemes, which adopt the concepts of adaptive control and sliding-mode control respectively to achieve stabilization for this certain class of nonholonomic mechanical systems. Both simulation and experimental results are provided to verify our proposed control frameworks.Chapter 1 Introduction 1 1.1 Motivation and Objectives 1 1.2 State of the Art 3 1.3 Contribution of this Work 4 Chapter 2 System Description 6 2.1 Nonholonomic Mechanical Systems with Symmetry Structure 6 2.2 Passive Configuration Decomposition 8 2.3 Control Objective 13 Chapter 3 Passivity-Based Time-Varying Control 16 3.1 Nominal Passivity-Based Time-Varying Control 16 3.2 Adaptive Passivity-Based Time-Varying Control 19 Chapter 4 Passivity-Based Switching Control 25 4.1 Nominal Passivity-Based Switching Control 25 4.2 Robust Passivity-Based Switching Control 29 Chapter 5 Simulation and Experiment 38 5.1 Simulation 38 5.2 Experiment 62 Chapter 6 Conclusion and Future Work 82 6.1 Conclusion 82 6.2 Future Work 83 Bibliography 85 ์š”์•ฝ 92Maste

    Research on Linked Data and Co-reference Resolution

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    This project report details work carried out in collaboration between the University of Southampton and the Korea Institute of Science and Technology Information, focussing on an RDF dataset of academic authors and publications. Activities included the conversion of the dataset to produce Linked Data, the identification of co-references in and between datasets, and the development of an ontology mapping service to facilitate the integration of the dataset with an existing Semantic Web application, RKBExplorer.com

    ๋น„ํŒ์  ์œ ํŠœ๋ธŒ ์ฝ๊ธฐ

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    ใƒ‹ใƒ›ใƒณใ‚ดใ€€ใ‚ญใƒงใ‚ฆใ‚ทใƒ„ใ€€ใƒ‹ใ€€ใ‚ชใ‚ฑใƒซใ€€ใ‚ฌใ‚ฏใ‚ปใ‚คใ€€ใƒŽใ€€ใ‚ธใ‚ณใ€€ใ‚ซใ‚คใ‚ธใ€€ใƒŽใ€€ใ‚ฑใ‚คใ‚ณใ‚ฆใ€€ใƒ‹ใ€€ใƒ„ใ‚คใƒ†ใ€€JSDQใ€€ใƒˆใ€€ใ‚ญใƒงใ‚ฆใ‚ทใƒ„ใƒŠใ‚คใ€€ใ‚ธใƒใƒ„ใƒ†ใ‚ญใ€€ใƒใƒ„ใ‚ฒใƒณใ€€ใƒ‹ใ€€ใƒใƒฅใ‚ฆใƒขใ‚ฏใ€€ใ‚ทใƒ†

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    ์ตœ๊ทผ์—๋Š” ์ˆ˜์—… ๋‚ด์—์„œ์˜ ํ•™์ƒ์˜ ์ฃผ์ฒด์„ฑ์ด ์ค‘์š”์‹œ๋˜๊ณ , ์ธ๊ฐ„ ์ค‘์‹ฌ๏ผˆhumanistic๏ผ‰์˜ ๊ต ์œก์ด ์ฃผ๋ชฉ๋ฐ›์œผ๋ฉฐ, ํ•™์ƒ ์Šค์Šค๋กœ๊ฐ€ ์ œ 2 ์–ธ์–ด๋กœ ์ž๊ธฐํ‘œํ˜„์„ ํ•˜๋Š” ๊ฒƒ์ด, ์–ธ์–ด ์Šต๋“ ์™ธ์—๋„ ํ•™ ์Šต์ž์˜ ์ธ๊ฐ„์ ์ธ ์„ฑ์žฅ์œผ๋กœ ์ด์–ด์ง€๋Š” ๋“ฑ, ๊ต์œก๋ฐฉ๋ฒ•์œผ๋กœ์จ ๊ธฐ๋Œ€๋ฅผ ๋ฐ›๊ฒŒ ๋˜์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์— ์„œ๋Š”, ์ž๊ธฐํ‘œํ˜„ ์ค‘์—์„œ๋„ โ€˜ ์ž๊ธฐ๊ฐœ์‹œ๏ผˆ์ž๊ธฐ๊ณต๊ฐœ๏ผ‰โ€™ ์— ์ฃผ๋ชฉํ•˜์—ฌ, ํ•œ ๊ตญ๋ฆฝ๋Œ€ํ•™์˜ ์ผ๋ณธ์–ด ๊ต ์‹ค์˜ ์œ ํ•™์ƒ๋“ค์„ ๋Œ€์ƒ์œผ๋กœ ๊ต์‹ค ๋‚ด์—์„œ์˜ ์ž๊ธฐ๊ฐœ์‹œ์˜ ๊ฒฝํ–ฅ ๋ฐ ์ž๊ธฐ๊ฐœ์‹œ์˜ ํŠน์ง•์„ ๋ถ„์„ํ•˜ ๊ณ ์ž ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ๊ณผ์ œ๋Š”, 1๏ผ‰์ž๊ธฐ๊ฐœ์‹œ์˜ ์ •๋„๋Š”, ์ž๊ธฐ๊ฐœ์‹œ ๋‚ด์šฉ์— ๋”ฐ๋ผ ์ฐจ์ด๊ฐ€ ๋‚˜ํƒ€๋‚˜๋Š”๊ฐ€ ? 2๏ผ‰์ž ๊ธฐ๊ฐœ์‹œ์˜ ์ •๋„๋Š”, ์–ด๋–ค ์ƒ๋Œ€์—๊ฒŒ ์ž๊ธฐ๊ฐœ์‹œ๋ฅผ ํ•˜๋Š”๊ฐ€์— ๋”ฐ๋ผ ๋ณ€ํ™”ํ•˜๋Š”๊ฐ€ ? 3๏ผ‰๋ฐœ์–ธ ์ˆ˜์™€ ์ž๊ธฐ๊ฐœ์‹œ์˜ ์ •๋„์—๋Š” ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ์žˆ๋Š”๊ฐ€ ? ์ด๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š”, ํ•œ ํ•™๊ธฐ๏ผˆ2021 ๋…„ 4 ์›” 14 ์ผ ~2021 ๋…„ 7 ์›” 28 ์ผ๏ผ‰๋™์•ˆ ํ•ด๋‹น ๊ฐ•์˜๋ฅผ ์ˆ˜๊ฐ•ํ•œ ์œ ํ•™์ƒ 7 ๋ช…๏ผˆ์ŠคํŽ˜์ธ 3 ๋ช…, ํ•œ๊ตญ 2 ๋ช…, ๋…์ผ 1 ๋ช…, ํ”„๋ž‘์Šค 1 ๋ช…๏ผ‰์„ ๋Œ€์ƒ์œผ๋กœ ์ˆ˜์—…์—์„œ์˜ ์ฐธ ์—ฌ๊ด€์ฐฐ๊ณผ ์ž๊ธฐ๊ฐœ์‹œ์— ๋Œ€ํ•œ ์งˆ๋ฌธ์ง€๏ผˆJSDQ-40๏ผ‰์กฐ์‚ฌ ๋ฐ ์ธํ„ฐ๋ทฐ ์กฐ์‚ฌ๏ผˆ5 ๋ช…๏ผ‰๋ฅผ ์‹ค์‹œํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ,๏ผˆ1๏ผ‰์ž์‹ ์—๊ฒŒ ๋ถ€์ •์  ์˜ํ–ฅ์„ ๋ผ์น  ๊ฐ€๋Šฅ์„ฑ์ด ์žˆ๋Š” ์ผ์— ๋Œ€ํ•ด์„œ๋Š” ์ž๊ธฐ๊ฐœ์‹œ ๋ฅผ ํ•˜์ง€ ์•Š์œผ๋ ค๋Š” ๊ฒฝํ–ฅ์ด ๋ณด์˜€๋‹ค.๏ผˆ2๏ผ‰์ƒ๋Œ€์™€์˜ ์‹ฌ๋ฆฌ์  ๊ฑฐ๋ฆฌ๊ฐ€ ๊ฐ€๊นŒ์šธ์ˆ˜๋ก ์ž๊ธฐ ๊ฐœ์‹œ์˜ ์–‘๊ณผ ์ •๋„๊ฐ€ ๊นŠ์–ด์ง€๋Š” ๊ฒฝํ–ฅ์ด ๋ณด์ž„์œผ๋กœ์จ, ์ž๊ธฐ๊ฐœ์‹œ๊ฐ€ ์ƒ๋Œ€๋ฐฉ๊ณผ์˜ ์นœ๋ฐ€ํ•œ ๊ด€๊ณ„๋ฅผ ์ œ๊ณ ํ•œ ๋‹ค๋Š” ์ ์ด ์‹œ์‚ฌ๋˜์—ˆ๋‹ค.๏ผˆ3๏ผ‰JSDQ ์˜ ๋ช‡๋ช‡์˜ ํ•ญ๋ชฉ์— ๋Œ€ํ•ด์„œ๋Š”, ํ•™์ƒ๋“ค์˜ ์ž๊ธฐ๊ฐœ์‹œ ์ •๋„ ์— ํฐ ๊ฐœ์ธ์ฐจ๊ฐ€ ๋‚˜ํƒ€๋‚ฌ๋‹ค.๏ผˆ4๏ผ‰๋ฐœ์–ธ ์ˆ˜์™€ ์ž๊ธฐ๊ฐœ์‹œ์˜ ์ •๋„์— ๋ช…ํ™•ํ•œ ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ๋ณด์ด์ง€ ์•Š์•˜๋‹ค. ํ–ฅํ›„ ์—ฐ๊ตฌ์—์„œ๋Š”, 1. ์ž์‹ ์˜ ์ด๋ฐ์˜ฌ๋กœ๊ธฐ๋‚˜ ์ƒํ˜ธ์ฃผ๊ด€์„ฑ๏ผˆinter-subjectivity๏ผ‰๋“ฑ์— ๋Œ€ํ•ด ๊นŠ์ด ๊ณ ์ฐฐํ•˜๊ณ , 2. ์ž๊ธฐ๊ฐœ์‹œ ์ •๋„์˜ ๋ณ€ํ™”๋ฅผ ์‹œ๊ฐ„์˜ ํ๋ฆ„์— ๋”ฐ๋ผ ๊ด€์ฐฐํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ, 3. ์ž๊ธฐ๊ฐœ์‹œ๊ฐ€ ์—ฌ๋Ÿฌ ๊ฐ€์ง€ ์˜ํ–ฅ์„ ๋ฐ›์•„ ๋ณ€ํ™”ํ•˜๋Š” ์œ ๊ธฐ์ ์ธ ๊ฒƒ์ž„์„ ์•Œ๊ณ , ์—ฐ๊ตฌ๋ฅผ ์‹ฌํ™”ํ•˜๊ณ ์ž ํ•œ๋‹ค
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