1,611 research outputs found

    Generalized north-south dynamics on the space of geodesic currents

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    We prove uniform north-south dynamics type results for the action of ฯ†โˆˆOut(FN)\varphi\in Out(F_{N}) on the space of projectivized geodesic currents PCurr(S)=PCurr(FN)\mathbb{P}Curr(S)=\mathbb{P}Curr(F_{N}), where ฯ†\varphi is induced by a pseudo-Anosov homeomorphism on a compact surface S with boundary such that ฯ€1(S)=FN\pi_{1}(S)=F_{N}. As an application, we show that for a subgroup Hโ‰คOut(FN)H\le Out(F_N), containing an iwip, either HH contains a hyperbolic iwip or HH is contained in the image in Out(FN)Out(F_N) of the mapping class group of a surface with a single boundary component.Comment: 20 pages, 2 figures, v3: Minor correction

    Perron-Frobenius theory and frequency convergence for reducible substitutions

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    We prove a general version of the classical Perron-Frobenius convergence property for reducible matrices. We then apply this result to reducible substitutions and use it to produce limit frequencies for factors and hence invariant measures on the associated subshift. The analogous results are well known for primitive substitutions and have found many applications, but for reducible substitutions the tools provided here were so far missing from the theory.Comment: v.2 Minor revisions for submissio

    On the Geometric Measures of Entanglement

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    The geometric measure of entanglement, which expresses the minimum distance to product states, has been generalized to distances to sets that remain invariant under the stochastic reducibility relation. For each such set, an associated entanglement monotone can be defined. The explicit analytical forms of these measures are obtained for bipartite entangled states. Moreover, the three qubit case is discussed and argued that the distance to the W states is a new monotone.Comment: 7 pages, 1 figures, minor content change, references added, 1 figure adde

    Analysis of Discrete Fractional Operators and Discrete Fractional Rheological Models

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    This thesis is comprised of two main parts: Monotonicity results on discrete fractional operators and discrete fractional rheological constitutive equations. In the first part of the thesis, we introduce and prove new monotonicity concepts in discrete fractional calculus. In the remainder, we carry previous results about fractional rheological models to the discrete fractional case. The discrete method is expected to provide a better understanding of the concept than the continuous case as this has been the case in the past. In the first chapter, we give brief information about the main results. In the second chapter, we present some fundamental definitions and formulas in discrete fractional calculus. In the third chapter, we introduce two new monotonicity concepts for nonnegative or nonpositive valued functions defined on discrete domains, and then we prove some monotonicity criteria based on the sign of the fractional difference operator of a function. In the fourth chapter, we emphasize the rheological models: We start by giving a brief introduction to rheological models such as Maxwell and Kelvin-Voigt, and then we construct and solve discrete fractional rheological constitutive equations. Finally, we finish this thesis by describing the conclusion and future work

    ๊ณ ๋‚œ์ด๋„ ์ด๋Ÿฌ๋‹ ์ฝ˜ํ…์ธ ์—์„œ ํ…์ŠคํŠธ ๋˜๋Š” ๋‚ด๋ ˆ์ด์…˜ ์ œ์‹œ ํšจ๊ณผ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์‚ฌ๋ฒ”๋Œ€ํ•™ ๊ต์œกํ•™๊ณผ(๊ต์œก๊ณตํ•™์ „๊ณต), 2021. 2. ์ž„์ฒ ์ผ.์ธํ„ฐ๋„ท ๋ฐ ํ†ต์‹  ๊ธฐ์ˆ  (ICT)์˜ ๋ฐœ๋‹ฌ๋กœ ์ธํ•ด ๊ต์œก์˜ ์ถ”์„ธ์™€ ๋ฐฉ์‹์ด ์ˆ˜๋…„์— ๊ฑธ์ณ ๋ณ€ํ™”ํ•ด ์™”๋‹ค. ์ด๋Ÿฌํ•œ ์ปดํ“จํ„ฐ ๊ธฐ์ˆ , ์ธํ„ฐ๋„ท ๊ธฐ์ˆ ์˜ ๋ฐœ์ „๊ณผ ์ด๋ฅผ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์‚ฌ๋žŒ๋“ค์˜ ์ˆ˜๊ฐ€ ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ e- ๋Ÿฌ๋‹์€ ๊ฐ€์žฅ ์ธ๊ธฐ์žˆ๋Š” ํ•™์Šต ๋งค์ฒด ์ค‘ ํ•˜๋‚˜๊ฐ€ ๋˜์—ˆ๋‹ค. ์ „์ž ํ•™์Šต-๊ต์œก ๋ชฉ์ ์œผ๋กœ ํœด๋Œ€ํฐ, ํƒœ๋ธ”๋ฆฟ, ๋…ธํŠธ๋ถ ๋ฐ ๊ธฐํƒ€ ๊ธฐ์ˆ  ๋„๊ตฌ์™€ ๊ฐ™์€ ๋‹ค์–‘ํ•œ ์œ ํ˜•์˜ ICT๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๊ฒƒ์œผ๋กœ ์ƒ๊ฐํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ ์—ฌ๋Ÿฌ ํ•™์Šต ๊ธฐ์ˆ ๊ณผ ์ „๋žต์„ ํ†ตํ•ฉํ•œ๋‹ค. e- ๋Ÿฌ๋‹์€ ๊ต์œก์—์„œ ํ•™์Šต ๊ฒฝํ—˜์„ ํ’๋ถ€ํ•˜๊ฒŒ ํ•˜๋ฏ€๋กœ ๊ต์œก์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น  ์ˆ˜ ์žˆ๋Š” ์ž ์žฌ๋ ฅ์ด ์žˆ๋‹ค. ์ด๋Ÿฌ๋‹์€ ์ •๋ณด ์‚ฌํšŒ์˜ ๋ฐœ์ „๊ณผ ํ•จ๊ป˜ ์„ฑ์žฅํ•˜๊ณ  ์žˆ์œผ๋ฉฐ ์ด๋Ÿฌํ•œ ๋ฐœ์ „์— ๋”ฐ๋ผ ์ด๋Ÿฌ๋‹ ์ฝ˜ํ…์ธ ๊ฐ€ ์ „๋‹ฌ๋˜๋Š” ๋ฐฉ์‹๋„ ๋ณ€ํ™”ํ•˜๊ณ  ์žˆ๋‹ค. ๋˜ํ•œ ์ฝ˜ํ…์ธ ๊ฐ€ ๋ฉ€ํ‹ฐ๋ฏธ๋””์–ด๋กœ ์ œ๊ณต๋˜๋Š” ๊ฒฝ์šฐ ์‚ฌ๋žŒ๋“ค์€ ์ˆœ์ฐจ์  ๋ฐฉ์‹์ด ์•„๋‹Œ ํ…์ŠคํŠธ, ๊ทธ๋ž˜ํ”ฝ ๋˜๋Š” ์˜ค๋””์˜ค๋ฅผ ๋™์‹œ์— ์ œ๊ณตํ•จ์œผ๋กœ์จ ํšจ๊ณผ์ ์ธ ํ•™์Šต ๊ฒฝํ—˜์„ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•˜๋ฏ€๋กœ ํ•™์Šต์— ๋” ๋งŽ์ด ์ฐธ์—ฌํ•  ๊ฐ€๋Šฅ์„ฑ์ด ๋†’๋‹ค. ๋ฉ€ํ‹ฐ๋ฏธ๋””์–ด๋Š” ๊ต์œก ๋ถ„์•ผ์—์„œ ๊ณ ์œ  ํ•œ ์ด์ ์„ ์ œ๊ณตํ•˜์ง€๋งŒ ๋‹ค๋ฅธ ํ•™์Šต ํ”„๋กœ๊ทธ๋žจ๊ณผ ๋งˆ์ฐฌ๊ฐ€์ง€๋กœ ๋ฉ€ํ‹ฐ๋ฏธ๋””์–ด ํ•™์Šต ์„ค๊ณ„๋Š” ํšจ๊ณผ๋ฅผ ์œ„ํ•ด ์ค‘์š”ํ•˜๋‹ค. ๊ทธ๋ ‡๊ธฐ ๋•Œ๋ฌธ์— ๋ฉ€ํ‹ฐ๋ฏธ๋””์–ด ์ค€๋น„ ์›์น™์„ ๊ณ ๋ คํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•˜๋‹ค. ์ด๋Ÿฌํ•œ ๋””์ž์ธ ์›์น™ ์ค‘ ๋ชจ๋‹ฌ๋ฆฌํ‹ฐ ์›์น™์€ ๋‹ค๋ฅธ ๋ฉ€ํ‹ฐ๋ฏธ๋””์–ด ๋””์ž์ธ ์›์น™๋ณด๋‹ค ๋” ๊ด‘๋ฒ”์œ„ํ•˜๊ฒŒ ์—ฐ๊ตฌ๋˜์—ˆ๋‹ค. ๋ชจ๋‹ฌ๋ฆฌํ‹ฐ ์›์น™์€ ๊ทธ๋ฆผ๊ณผ ๊ตฌ๋‘ ํ…์ŠคํŠธ์—์„œ ํ•™์Šตํ•˜๋Š” ๊ฒƒ์ด ๊ทธ๋ฆผ๊ณผ ํ™”๋ฉด ํ…์ŠคํŠธ์—์„œ ํ•™์Šตํ•˜๋Š” ๊ฒƒ๋ณด๋‹ค ๋” ํšจ๊ณผ์ ์ž„์„ ์‹œ์‚ฌํ•œ๋‹ค. ์ด ์›์น™์˜ ๊ฒฝํ—˜์  ์ง€์›์ด ๋†’์ง€๋งŒ ๊ทธ ํšจ๊ณผ๋Š” ํŠน์ • ์กฐ๊ฑด์œผ๋กœ ์ œํ•œ๋œ๋‹ค. ๊ทธ ์ค‘์—์„œ๋„ ์ด ์—ฐ๊ตฌ๋Š” ์–ด๋ ค์šด ์ •๋ณด์— ์ดˆ์ ์„ ๋งž์ถ”์—ˆ๋‹ค. ์ฆ‰, ํ•™์Šต์ž์—์„œ ์ •๋ณด๊ฐ€ ๋ณต์žกํ•˜๋‹ค๋ฉด ๋‚ด๋ ˆ์ด์…˜์„ ์‚ฌ์šฉํ•˜๋Š” ๊ฒƒ๋ณด๋‹ค ํ™”๋ฉด ํ…์ŠคํŠธ๊ฐ€ ๋” ๋‚˜์€ ์„ ํƒ์ด๋‹ค๋Š” ์ œ์•ˆ์„ ๊ณ ๋ คํ•˜์—ฌ ๋ชจ๋‹ฌ๋ฆฌํ‹ฐ ์›์น™์ด ๊ฒ€์ฆ๋˜์ง€ ์•Š์•˜๋˜ ์ƒํ™ฉ์ธ ํ•œ ๋ฉ€ํ‹ฐ๋ฏธ๋””์–ด ์ฝ˜ํ…์ธ ์—์„œ ํ™”๋ฉด์ƒ์˜ ํ…์ŠคํŠธ์™€ ๋‚ด๋ ˆ์ด์…˜์„ ์‚ฌ์šฉํ•˜๋Š” ํšจ๊ณผ๋ฅผ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ํ†ต์ œ ๋ฐ ์‹คํ—˜ ์ง‘๋‹จ์—์„œ ํŒŒ์ผ๋Ÿฟ ํ…Œ์ŠคํŠธ, ์‚ฌ์ „ ์ง€์‹ ์„ค๋ฌธ์ง€ ๋ฐ ํšŒ์ƒ ๊ฒ€์‚ฌ๋ฅผ ์‚ฌ์šฉํ•˜์˜€๋‹ค. 60 ๋ช…์˜ ์ฐธ๊ฐ€์ž๋Š” ์‚ฌ์ง„๋“ค๊ณผ ๋‚ด๋ ˆ์ด์…˜๋งŒ ์ œ์‹œ๋œ ๋ฉ€ํ‹ฐ๋ฉ”๋””์•„ ์ฝ˜ํ…์ธ ๋ฅผ ํ•™์Šตํ•  ์ง‘๋‹จ(ํ†ต์ œ์ง‘๋‹จ) ๊ณผ ๋˜๋Š” ๋‚ด๋ ˆ์ด์…˜๊ณผ ํ™”๋ฉดํ…์ŠคํŠธ ์ œ์‹œ๋œ ๋ฉ€ํ‹ฐ๋ฉ”๋””์•„ ์ฝ˜ํ…์ธ ๋ฅผ ํ•™์Šตํ•  ์ง‘๋‹จ(์‹คํ—˜์ง‘๋‹จ)์— ๋ฌด์ž‘์œ„๋กœ ๋ฐฐ์ •๋˜์—ˆ๋‹ค. ์‹คํ—˜์ง‘๋‹จ์€ ์‚ฌ์ง„๋“ค๊ณผ ํ•จ๊ป˜ ๋‚ด๋ ˆ์ด์…˜์„ ๋ดค์œผ๋‚˜ ์ •๋ณด๊ฐ€ ์–ด๋ ค์šด ๋ถ€๋ถ„์—์„œ ์‚ฌ์ง„๋“ค๊ณผ ํ•จ๊ป˜ ๋‚ด๋ ˆ์ด์…˜ ๋Œ€์‹  ํ™”๋ฉด ํ…์ŠคํŠธ๋กœ ํ•™์Šตํ•˜์˜€๋‹ค. ๋ฉ€ํ‹ฐ๋ฏธ๋””์–ด ์ฝ˜ํ…์ธ ์ธ ๊ต์œก ์˜์ƒ์„ ๋ณธ ํ›„ ํšŒ์ƒ๊ฒ€์‚ฌ๋ฅผ ์‹ค์‹œํ–ˆ์Šต๋‹ˆ๋‹ค. ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘ ํ›„ ๊ทธ๋ฃน์˜ ํ‰๊ท  ์ ์ˆ˜๋ฅผ ๋น„๊ตํ•˜๊ธฐ ์œ„ํ•ด ๋…๋ฆฝ ์ƒ˜ํ”Œ t๊ฒ€์ฆ์„ ์ˆ˜ํ–‰ํ–ˆ์Šต๋‹ˆ๋‹ค. ํšŒ์ƒ๊ฒ€์‚ฌ๋ฅผ ๋ฐ์ดํ„ฐ ๋ถ„์„์— ๋”ฐ๋ฅด๋ฉด, ํ†ต๊ณ„ ๊ฒฐ๊ณผ๋Š” ์ •๋ณด๊ฐ€ ์–ด๋ ค์šธ ๋•Œ ๋ฉ€ํ‹ฐ๋ฏธ๋””์–ด ์ž๋ฃŒ์— ๋‚ด๋ ˆ์ด์…˜ ๋Œ€์‹  ํ™”๋ฉด ํ…์ŠคํŠธ๋ฅผ ์ œ๊ณตํ•˜๋Š” ๊ฒƒ์ด ๋‚ด๋ ˆ์ด์…˜ ๋งŒ ์ œ๊ณตํ•˜๋Š” ๊ฒƒ๋ณด๋‹ค ์ •๋ณด๋ฅผ ๊ธฐ์–ตํ•  ๋•Œ์— ๋” ํšจ๊ณผ์ ์ž„์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ์ ์—์„œ ์˜์˜๊ฐ€ ์žˆ๋‹ค. ์ฒซ์งธ, ์ •๋ณด๊ฐ€ ๋ณต์žก ํ•  ๋•Œ ํ™”๋ฉด์ƒ ํ™œ์šฉ์„ ๋ชจ์ƒ‰ํ•จ์œผ๋กœ์จ ๋ณธ ์—ฐ๊ตฌ๋Š” ๋ฉ€ํ‹ฐ๋ฏธ๋””์–ด ์ž๋ฃŒ ์„ค๊ณ„์— ๋Œ€ํ•œ ์—ฐ๊ตฌ ๊ธฐ๋ฐ˜์˜ ์„ฑ์žฅ์— ๊ธฐ์—ฌํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ ์–ป์€ ๊ฒฐ๊ณผ๋Š” ๊ต์œก ์„ค๊ณ„์ž๊ฐ€ ์ฐธ๊ณ  ์ž๋ฃŒ๋กœ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ ๊ธ์ •์ ์ธ ํ•™์Šต ๊ฒฐ๊ณผ์— ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ๋‘˜์งธ, ๋ชจ๋‹ฌ๋ฆฌํ‹ฐ ์›๋ฆฌ์˜ ๋‹ค์–‘ํ•œ ์ƒํ™ฉ์„ ๊ฒ€์ฆํ•  ํ•„์š”๊ฐ€ ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ๋ณธ ์—ฐ๊ตฌ๋Š” ๋ฌธํ—Œ์— ๊ธฐ์—ฌํ•œ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ์ •๋ณด๊ฐ€ ๋ณต์žก ํ•  ๋•Œ ๋‚˜๋ ˆ์ด์…˜ ๋Œ€์‹  ํ…์ŠคํŠธ๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๊ฒƒ์— ๋Œ€ํ•œ ์กฐ์‚ฌ๊ฐ€ ๋งŽ์ง€ ์•Š๊ธฐ ๋•Œ๋ฌธ์— ๋™๊ธฐ, ํ•™์Šต ์ธ์‹ ๋“ฑ ํ•™์Šต ์™ธ์— ๋‹ค๋ฅธ ๋ณ€์ˆ˜๋ฅผ ๊ฒ€์ฆํ•˜๋Š” ์ธก๋ฉด์—์„œ ํ–ฅํ›„ ์—ฐ๊ตฌ์˜ ๊ธฐ์ดˆ ์—ฐ๊ตฌ๊ฐ€ ๋  ์ˆ˜ ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ํ˜„์žฌ ์—ฐ๊ตฌ๊ฐ€ ์ค‘์š”ํ•ฉ๋‹ˆ๋‹ค.The trends and the ways of education have been changing over the years thanks to developments on the Internet and communication technology (ICT). These advancements in computer technology, Internet technology, and an increase in the number of people who can use them have made e-learning one of the most popular mediums of learning and it has been gaining popularity day-by-day. E-learning can be thought of as using different types of ICTs such as mobile phones, tablets, laptops, and other technological tools for educational purposes and it incorporates several learning technologies and strategies. E-learning enriches the learning experience in education, so it has the potential to affect education positively. E-learning is growing with the development of the information society and with these developments, the way how e-learning content is delivered has been changing too. Moreover, people are more likely to be engaged with learning if the content is presented as multimedia because it enables an effective learning experience by providing text, graphics, or audio simultaneously rather than in a sequential manner Multimedia offers unique advantages in the field of education however, as in any learning program, designing multimedia learning is important for effectiveness. That is why it is important to consider principles for preparing multimedia. Among those design principles, the modality principle has been more widely tested than any other principle of multimedia design. The modality principle suggests that learning from pictures and verbal text is more effective than learning from pictures and on-screen text. Although the modality principle has high empirical support, its effect is limited to certain conditions. Among those conditions, this research focused on difficult information. It was suggested that if the context of information is complicated for the learners then the printed text is a better option than using narration. Besides, among the circumstances that the modality principle has not been tested, it was suggested that there is a need to test the effect of using on-screen text and narration in one multimedia learning design. By taking these results into account, this study tested the use of printed-text and verbal text along with visuals when the content is difficult through conducting a recall test. This study used a pilot-test, prior knowledge questionnaire, and recall test on control and treatment groups. 60 participants were randomly assigned to either the narration-only group (NO) which is the control group or the narration-text group (NT) which is the treatment group. An instructional video was prepared for each treatment group. Participants in NO group received a self-paced, computer-based instructional video that includes narration only to explain the Artificial Intelligence and related concepts. The NT group received the same computer-based instructional video; however, the same explanation was presented as the narration. The narration part was removed, and the on-screen text was added when the incoming information is complicated. After they watched the instructional video, the recall test was conducted. After collecting data, independent samples t-test was conducted to compare the mean score of the groups. According to data analysis of recall test, the statistical results showed that providing on-screen text instead of narration in multimedia material when the information is difficult is more effective on recalling the information than providing the narration only. This study has significance due to the following reasons. Firstly, by exploring the use of on-screen when the information is convoluted, the present study contributes to the growing research base on the design of multimedia materials. The results obtained from this study can be used by instructional designers as a reference. and it can contribute to positive learning outcomes. Secondly, since there is a need for testing different circumstances of modality principle, this study makes contributions to literature. Finally, since there is no investigation about using text instead of narration when information is complicated, the present study is important because it can be a base study for future studies in terms of testing other variables besides learning such as motivation, learning perception, and, so on.I. INTRODUCTION 1 1. Background of the Study 1 1.1. Statement of the Problem 8 1.2. Needs of the Research 12 2. Research Questions 16 3. Definition of Terms 17 II. LITERATURE REVIEW 21 1. Theoretical Framework 21 1.1. Cognitive Load Theory 21 1.2. Cognitive Theory of Multimedia Learning 26 2. The Modality Principle 32 2.1. Evidence Studies for Modality Principle 33 III. RESEARCH METHODOLOGY 36 1. Overall Research Design 36 2. Materials and Instruments 38 2.1. Instructional Video 38 2.2. Instruments 43 2.2.1. Pilot Phase Process 44 2.2.2. Prior Knowledge Questionnaire 44 2.2.3. Recall Test 46 3. Participants 53 4. Data Analysis 54 4.1. Use of Prior Knowledge Questionnaire 57 4.2. Recall Test Analyses 58 IV. RESULTS 61 1. Prior Knowledge Questionnaire 61 2. Recall Test Analyses Results 61 3. Independent Samples T-test Results 63 4. Summary 64 V.DISCUSSIONS AND CONCLUSION 67 1. Contributions of the Study 71 2. Implications of the Study 72 3. Limitations and Future Directions 74 4. Conclusions 76 REFERENCES 79 APPENDIX 99 ๊ตญ๋ฌธ์ดˆ๋ก 111Maste
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