243 research outputs found

    A Discourse Analysis on the UK News Media in Reshaping the Britishness of Britons (2016 and 2020)

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ตญ์ œ๋Œ€ํ•™์› ๊ตญ์ œํ•™๊ณผ(๊ตญ์ œ์ง€์—ญํ•™์ „๊ณต), 2020. 8. ์€๊ธฐ์ˆ˜.On June 23rd 2016, the UK held a referendum on its withdrawal from the European Union. News media were extremely active in using the term Brexit to illustrate Britains firm decision to leave the Union. Nevertheless, the term itself was publicly first used in 2012 by David Cameron, when he made a decision to open the referendum for the first time. Consequently, Brexit was quickly used in international media as an identification of the British people and the country. Domestically, traditional newspapers (also known as broadsheet newspapers) and tabloids take advantage of the term to exploit its readers to the Brexit issue. Through investigating the political and nationalistic critical discourse analysis of the right and left wing broadsheet newspapers and tabloids (Guardian & The Daily Mirror, The Sun & The Daily Mail), it searches if these media outlets have used discussions of identity to be able to shift the course of identity of its readers between the years of 2016 and 2020.2 Introduction 1 2.1 Background Information 1 2.2 Quantitative Data 5 2.3 Research Purpose 19 2.4 Research Material 19 3 Literature Review 21 3.1 The Tories and the Labour Party on Brexit 21 3.2 The Rise of Euroscepticism 24 3.3 Post-Brexit relationship between UK and EU 27 3.4 Britishness or Englishness 29 3.4.1 Social Identity Theories 29 3.4.1.1 Understanding Britain's dilemma 33 3.4.2 Britain's sense of place 36 3.5 Media Culture: British Newspapers and Tabloids 38 4 Methodology 41 4.1.1 Discourse Analysis 41 4.1.1.1 Critical Discourse Analysis 41 4.1.1.2 Media Discourse 45 5 Results 49 5.1 Discourse Analysis 49 5.1.1 The Labour Party (The Guardian) 2016 49 5.1.2 The Labour Party (The Daily Mirror) 2016 65 5.1.3 The Tories (The Sun) 2016 71 5.1.4 The Tories (The Daily Mail) 2016 83 5.1.5 The Labour Party (The Guardian) 2020 96 5.1.6 The Labour Party (The Daily Mirror) 2020 102 5.1.7 The Tories (The Sun) 2020 108 5.1.8 The Tories (The Daily Mail) 2020 115 6 Discourse Analysis on British Identity 123 6.1 Political and Nationalistic discourse for the Labour Party 2016 123 6.1.1 The Guardian 2016 123 6.1.2 The Daily Mirror 2016 125 6.2 Political and Nationalistic discourse for the Labour Party 2020 128 6.2.1 The Guardian 2020 128 6.2.2 The Daily Mirror 2020 129 6.3 Political and Nationalistic discourse for the Tories 2016 131 6.3.1 The Sun 2016 131 6.3.2 The Daily Mail 2016 132 6.4 Political and Nationalistic discourse for the The Sun & The Daily Mail 2020 134 7 Conclusion 137 7.1 Limitations of Research 139 8 Bibliography 138Maste

    LU-SGS ์ˆ˜์น˜๊ธฐ๋ฒ•์„ ์ ์šฉํ•œ OpenFOAM ๊ธฐ๋ฐ˜์˜ ์••์ถ•์„ฑ ์ฝ”๋“œ ๊ฐœ๋ฐœ ๋ฐ ๊ฒ€์ฆ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™๋ถ€, 2014. 2. ๊น€๊ทœํ™.๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์˜คํ”ˆ์†Œ์Šค(Open source)๊ธฐ๋ฐ˜์˜ ์ „์‚ฐ์œ ์ฒด์—ญํ•™ ํ”„๋กœ๊ทธ๋žจ์ธ ์˜คํ”ˆํผ(OpenFOAM)์— LU-SGS(Lower Upper Symmetric Gauss Seidel) ์ˆ˜์น˜๊ธฐ๋ฒ•์„ ์ ์šฉํ•œ ์••์ถ•์„ฑ์ฝ”๋“œ๋ฅผ ๊ฐœ๋ฐœํ•˜๊ณ  ์ด์— ๋Œ€ํ•œ ๊ฒ€์ฆ์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๊ธฐ๋ณธ์ ์œผ๋กœ ๋น„์••์ถ•์„ฑ์œ ๋™ ํ•ด์„์„ ์œ„ํ•ด ์••๋ ฅ๊ธฐ๋ฐ˜์œผ๋กœ ๊ฐœ๋ฐœ๋œ ์˜คํ”ˆํผ(OpenFOAM)์˜ ์ง€๋ฐฐ๋ฐฉ์ •์‹์„ ๋ฐ€๋„๊ธฐ๋ฐ˜์˜ ์ง€๋ฐฐ๋ฐฉ์ •์‹์œผ๋กœ ์ˆ˜์ •ํ•˜์˜€๊ณ  ๊ธฐ์กด์˜ ์˜คํ”ˆํผ(OpenFOAM)์—์„œ ์ œ๊ณตํ•˜๊ณ  ์žˆ๋Š” Explicit ์‹œ๊ฐ„์ ๋ถ„๋ฒ•์„ LU-SGS ์ˆ˜์น˜๊ธฐ๋ฒ•์„ ์ ์šฉํ•œ Implicit ์‹œ๊ฐ„์ ๋ถ„๋ฒ•์œผ๋กœ ์ˆ˜์ •ํ•˜์˜€๋‹ค. ๋˜ํ•œ ํ˜„์žฌ ์˜คํ”ˆํผ(OpenFOAM)์—์„œ ๊ฐœ๋ฐœ๋˜์ง€ ์•Š์€ ํŠน์„ฑ๊ฒฝ๊ณ„๋ฐฉ์ •์‹์ธ ๋ฆฌ๋งŒ(Riemann)๊ฒฝ๊ณ„์กฐ๊ฑด์„ ์ถ”๊ฐ€ํ•˜์˜€๊ณ  ๊ธฐ์กด์— ์˜คํ”ˆํผ(OpenFOAM)์—์„œ ์ œ๊ณตํ•˜๊ณ  ์žˆ๋Š” ๋ฒฝํ•จ์ˆ˜(Wall function) ๋ฐ ์ผ๋ถ€ Library ์— ๋Œ€ํ•œ ์ˆ˜์ •์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๊ฐœ๋ฐœ๋œ ์ฝ”๋“œ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ์ฝ”๋“œ๊ฒ€์ฆ ์‹œ ๋„๋ฆฌ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ๋Š” ๊ฒ€์ฆ๋ชจ๋ธ์„ ์„ ์ •ํ•˜์—ฌ ๊ฒ€์ฆ์„ ์ˆ˜ํ–‰ํ•˜์˜€๊ณ  ์ด๋ฅผ ๊ธฐ์กด์˜ ์˜คํ”ˆํผ(OpenFOAM) ํ•ด์„์ž์™€ ๋น„๊ตํ•จ์— ๋”ฐ๋ผ ๊ฐœ๋ฐœ๋œ ์ฝ”๋“œ์˜ ํ™œ์šฉ๊ฐ€๋Šฅ์„ฑ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋˜ํ•œ ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๋Œ€ํ•œ๋ฏผ๊ตญ์—์„œ ๊ฐœ๋ฐœํ•˜๊ณ  ์šด์šฉ์ค‘์ธ ๋น„ํ–‰๊ธฐ์˜ ์ „์‚ฐํ•ด์„์„ ์ˆ˜ํ–‰ํ•˜์˜€๊ณ  ์ด๋ฅผ ํ’๋™์‹คํ—˜๊ฐ’๊ณผ ๋น„๊ตํ•จ์— ๋”ฐ๋ผ ํ–ฅํ›„ ์ˆ˜ํ–‰ํ•  ์—ฐ๊ตฌ ๋ฐฉํ–ฅ์„ ์ œ์‹œํ•˜์˜€๋‹ค.1. ์„œ๋ก  10 1.1 ์—ฐ๊ตฌ๋ฐฐ๊ฒฝ 10 1.2 ์˜คํ”ˆํผ(OpenFOAM) ์ด๋ž€ 13 1.3 ์—ฐ๊ตฌ๋ชฉํ‘œ 14 2. OpenFOAM Standard Solvers 16 2.1 ๋น„์••์ถ•์„ฑ(Incompressible) ์œ ๋™ 16 2.1.1 ์›ํ˜•์‹ค๋ฆฐ๋” ์ฃผ์œ„์˜ ๋ณธ ์นด๋ฅด๋งŒ ์™€๋ฅ˜์˜ ์ „์‚ฐํ•ด์„ 16 2.1.2 ํ•ด์„์กฐ๊ฑด ๋ฐ ๊ฒฝ๊ณ„์กฐ๊ฑด 17 2.1.3 ์ฝ”๋“œ๊ฒ€์ฆ ๋ฐ ๋ถ„์„ 18 2.1.3.1 ์ด๋ก ์ ์ธ ์ ‘๊ทผ 18 2.1.3.2 Time Resolution Study 19 2.1.3.3 Grid Resolution Study 21 2.1.4 ์‹คํ—˜๊ฐ’๊ณผ์˜ ๊ฒ€์ฆ 23 2.2 ์••์ถ•์„ฑ(Compressible) ์œ ๋™ 24 2.2.1 2์ฐจ์› ์๊ธฐ(Wedge) ๊ฒฝ์‚ฌ์ถฉ๊ฒฉํŒŒ ํ•ด์„ 24 2.2.2 ํ•ด์„์กฐ๊ฑด ๋ฐ ์ „์‚ฐํ•ด์„๊ฒฐ๊ณผ 24 3. Code Development and Validation 26 3.1 Density Based Solver 27 3.1.1 ๋ฐ€๋„ ๊ธฐ๋ฐ˜์˜ ๋ณด์กดํ˜• ์ง€๋ฐฐ๋ฐฉ์ •์‹ 27 3.1.2 Oblique shock on a 2D wedge at Mach 2.5 28 3.2 Implicit Time Integration (LU-SGS) 30 3.2.1 Time Integration 30 3.2.2 Implicit LU-SGS 32 3.2.3 Transonic flow over a Bump in a channel 34 3.3 Characteristic Boundary Condition (Riemann Invariant) 35 3.3.1 Riemann Invariant 35 3.4 Turbulence model validation 40 3.4.1 RAE-2822 Transonic Airfoil 40 3.5 Automatic Wall Function 42 3.5.1 Wall treatment for a turbulence model 42 3.5.2 k-omega SST Model 43 3.5.3 Flat plate turbulent boundary layer 44 4. Applications 48 4.1 Shock Boundary Layer Interaction 48 4.1.1 ํ•ด์„์กฐ๊ฑด ๋ฐ ๊ฒฝ๊ณ„์กฐ๊ฑด 48 4.1.2 ์ถฉ๊ฒฉํŒŒ-๊ฒฝ๊ณ„์ธต ์ƒํ˜ธ์ž‘์šฉ์˜ ์œ ๋™ํ˜„์ƒ 49 4.1.3 ์ „์‚ฐํ•ด์„๊ฒฐ๊ณผ 50 4.2 Flat Plate 55 4.2.1 ํ•ด์„์กฐ๊ฑด ๋ฐ ๊ฒฝ๊ณ„์กฐ๊ฑด 55 4.2.2 ์ „์‚ฐํ•ด์„๊ฒฐ๊ณผ 57 4.3 Aircraft-1 60 4.3.1 ํ•ด์„์กฐ๊ฑด ๋ฐ ๊ฒฝ๊ณ„์กฐ๊ฑด 60 4.3.2 ์ „์‚ฐํ•ด์„๊ฒฐ๊ณผ 61 5. ๊ฒฐ๋ก  64 6. ์ฐธ๊ณ  ๋ฌธํ—Œ 67Maste

    Geographic Variations and the Associated Factors in Adherence to and Persistence with Adjuvant Hormonal Therapy for the Privately Insured women Aged 18-64 with Breast Cancer in Texas

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    The purpose of this study is to examine the geographical patterns of adjuvant hormonal therapy adherence and persistence and the associated factors in insured Texan women aged 18โ€“64 with early breast cancer. A retrospective cohort study was conducted using 5-year claims data for the population insured by the Blue Cross Blue Shield of Texas (BCBSTX). Women diagnosed with early breast cancer who were taking tamoxifen or aromatase inhibitors (AIs) for adjuvant hormonal therapy with at least one prescription claim were identified. Adherence to adjuvant hormonal therapy and persistence with adjuvant hormonal therapy were calculated as outcome measures. Women without a gap between two consecutively dispensed prescriptions of at least 90 days were considered to be persistently taking the medications. Patient-level multivariate logistic regression models with repeated regional-level adjustments and a Cox proportional hazards model with mixed effects were used to determine the geographical variations and patient-, provider-, and area-level factors that were associated with adjuvant hormonal therapy adherence and persistence. Of the 938 women in the cohort, 627 (66.8%) initiated adjuvant hormonal therapy. Most of the smaller HRRs have significantly higher or lower rates of treatment adherence and persistence rates relative to the median regions. The use of AHT varies substantially from one geographical area to another, especially for adherence, with an approximately two-fold difference between the lowest and highest areas, and area-level factors were found to be significantly associated with the compliance of AHT. There are geographical variations in AHT adherence and persistence in Texas. Patient-level and area-level factors have significant associations explaining these patterns. ยฉ 2023 by the authors.ope

    Modeling of Spray-Wall Impingement and Fuel Film for Direct-Injection Spark-Ignition Engines

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› ๊ณต๊ณผ๋Œ€ํ•™ ๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™๋ถ€, 2017. 8. ๋ฏผ๊ฒฝ๋•.Since the amount of emitted CO2 is directly related to car fuel economy, the attention is being drawn to DISI engine which has better fuel economy than conventional gasoline engine. Cooling effect, high volumetric efficiency and high compression ratio are main advantage of the DISI engine. However, the fact that increased inhomogeneity of air-fuel mixture and fuel film on the wall due to spray impingement during cold start make particulate matter(PM) come to the fore. Conducting experiment with large numbers of engine geometries and injection strategies are time consuming methods and expensive to proceed. Thus, reliable simulation model should be developed to reduce the cost for engine development. For accurate prediction of PM emission, the behavior of the spray and fuel film after spray-wall impingement needs to be predicted correctly. Thus, accurate spray model and film model are prerequisite. The existing models, however, are found to have relatively large error when compared with the experimental results. The rebound spray height is over-estimated while the area of the fuel film is under-estimated. The reasons for such disagreement between the simulation results and the experimental results are the assumptions used in the previous models. The previous models only considered the low speed collision condition such as diesel engine which has relatively short penetration length due to its injection pressure. Therefore, the dissipation energy can be successfully calculated from weber number and surface tension energy. However, the high-speed collision occurs in DISI engine. The droplet kinetic energy is too large to reduce meaningful amount by weber number and surface energy. Thus, in modified model, the amount of dissipation energy is determined within specific range. As a result, it was possible to reduce the number of model constants. To consider 2-D spray-wall impingement phenomenon more accurately, the number of child parcels derived from the parent parcel is increased from two to four. Increasing the number of child parcels, it is possible to consider the normal and tangential momentum component. Finally, the modified model is validated with experiments. The Mie-scattering images of iso-octane spray near wall were acquired at various temperature and injection pressure to measure rebound spray radius and height. Compared to the existing models, the modified model shows the best agreement with the experimental results without case-dependent changes to the model constant.Chapter 1. Introduction 1 1.1 Background 1 1.2 Previous Research 7 1.2.1 Bai Model 7 1.2.2 Bai Renewal Model 11 1.2.3 Kim Model 12 1.3 Objective 14 Chapter 2. Wall Impingement Model 15 2.1 Regime Transition Criteria 15 2.1.1 Dry Wall 16 2.1.2 Wetted Wall 17 2.2 Impingement Modeling 19 2.2.1 Adhesion 19 2.2.2 Rebound 20 2.2.3 Splash 21 2.3 Film Modeling 26 2.3.1 Mass Continuity 26 2.3.2 Momentum Continuity 28 2.3.3 Energy Continuity 32 2.3.4 Film Movement Criterion 34 Chapter 3. Experimental Setup 37 3.1 Injector and Vessel Specification 38 3.2 Hydraulic Properties 39 3.3 Optical Diagnostics 41 Chapter 4. Simulation Setup 45 4.1 Computational Domain 45 4.2 Model Description 47 Chapter 5. Experiments and Simulation Results 48 5.1 Wall Impingement Model 48 5.2 Wall Film Model 55 Chapter 6. Conclusions 57 References 60 ๊ตญ ๋ฌธ ์ดˆ ๋ก 64Maste

    A Study on Stadardization of Ice Mechanics Experimental Techniques with a Cold Room

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    The cold room is an essential part of the laboratory facilities for ice research and cold regions engineering. The experiment with a cold room includes various tests of materials at low temperature, whose range is often encountered in the Arctic. As a non-arctic country, the first Korean cold room facility for ice mechanics experiments was assembled in 2004. Since then, the 4 m x 6 m cold room facility has been extensively used under various different environmental and loading conditions. After reviewing published references on cold room testing methods and also by trial and error, the standard procedures for testing and preparing laboratory ice material were established for the measurement of basic ice properties. Laboratory-grown fresh water ice was used in the cold room, especially for unconfined compressive strength tests. Preparation techniques and dimension of the specimen are the most important issues arising in cold room tests. The details of specimen preparation, testing procedure and analysis of the strength test results are discussed.โ… . ์„œ๋ก  = 1 โ…ก. ์–ผ์Œ์˜ ์—ญํ•™์  ํŠน์„ฑ = 4 2.1. ์–ผ์Œ์˜ ์ƒ์„ฑ๊ณผ์ • = 4 2.1.1. ๋‹ด์ˆ˜๋น™ = 4 2.1.2. ํ•ด๋น™ = 5 2.2. ์–ผ์Œ์˜ ์žฌ๋ฃŒํŠน์„ฑ = 6 2.3. ์–ผ์Œ์˜ ๊ฐ•๋„ = 10 2.3.1์›ํ™˜ ์••์ถ•๊ฐ•๋„(RingTensileStrength) = 10 2.3.2์ธ์žฅ๊ฐ•๋„(DirectTensileStrength) = 11 2.3.3๊ตฝํž˜๊ฐ•๋„(FlexuralStrength) = 11 2.3.4์••์ถ•๊ฐ•๋„(CompressiveStrength) = 12 โ…ข. Cold Room์„ ์ด์šฉํ•œ ๋‹ด์ˆ˜๋น™ ์‹คํ—˜ = 13 3.1. Cold Room ์‹คํ—˜์„ค๋น„์˜ ์ œ์›๊ณผ ํŠน์ง• = 13 3.2. ์‹œํŽธ์ œ์ž‘๊ณผ ์‹คํ—˜์ค€๋น„ = 15 3.2.1. ์‹œํŽธ์น˜์ˆ˜๊ฒฐ์ • = 19 3.2.2. ์‹œํŽธ์ œ์ž‘๊ณผ์ • = 20 3.2.3. ์‹คํ—˜์ค€๋น„ = 23 โ…ฃ. ์‹คํ—˜๊ธฐ๋ฒ• ๋ฐ ๊ฒฐ๊ณผ = 25 4.1. ๋‹ด์ˆ˜๋น™ 1์ถ• ์••์ถ•์‹œํ—˜ = 25 4.1.1. ์‹คํ—˜๋ฐฉ๋ฒ• = 29 4.1.2. ์‹คํ—˜๊ฒฐ๊ณผ = 30 4.2. ๋น™์—ญํ•™ ํ‘œ์ค€ ์‹คํ—˜๊ธฐ๋ฒ• = 41 4.2.1. 1์ถ• ์••์ถ•์‹œํ—˜์šฉ ์‹œํŽธ์ œ์ž‘ = 41 4.2.2. ์‹คํ—˜ ์ง„ํ–‰์ ˆ์ฐจ = 42 โ…ค. ๊ฒฐ๋ก  = 44 ์ฐธ๊ณ  ๋ฌธํ—Œ = 4

    OpenCL์˜ ํ”„๋กœ๊ทธ๋ž˜๋ฐ ์šฉ์ด์„ฑ ํ–ฅ์ƒ ๊ธฐ๋ฒ•

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ „๊ธฐยท์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€, 2016. 2. ์ด์žฌ์ง„.OpenCL is one of the major programming models for heterogeneous systems. This thesis presents two limitations of OpenCL, the complicated nature of programming in OpenCL and the lack of support for a heterogeneous cluster, and proposes a solution for each of them for ease of programming. The first limitation is that it is complicated to write a program using OpenCL. In order to lower this programming complexity, this thesis proposes a framework that translates a program written in a high-level language (OpenMP) to OpenCL at the source level. This thesis achieves both ease of programming and high performance by employing two techniquesdata transfer minimization (DTM) and performance portability enhancement (PPE). This thesis shows the effectiveness of the proposed translation framework by evaluating benchmark applications and the practicality by comparing it with the commercial PGI compiler. The second limitation of OpenCL is the lack of support for a heterogeneous cluster. In order to extend OpenCL to a heterogeneous cluster, this thesis proposes a framework called SnuCL-D that is able to execute a program written only in OpenCL on a heterogeneous cluster. Unlike previous approaches that apply a centralized approach, the proposed framework applies a decentralized approach, which gives a chance to reduce three kinds of overhead occurring in the execution path of commands. With the ability to analyze and reduce three kinds of overhead, the proposed framework shows good scalability for a large-scale cluster system. The proposed framework proves its effectiveness and practicality by compared to the representative centralized approach (SnuCL) and MPI with benchmark applications. This thesis proposes solutions for the two limitations of OpenCL for ease of programming on heterogeneous clusters. It is expected that application developers will be able to easily execute not only an OpenMP program on various accelerators but also a program written only in OpenCL on a heterogeneous cluster.Chapter I. Introduction 1 I.1 Motivation and Objectives 5 I.1.1 Programming Complexity 5 I.1.2 Lack of Support for a Heterogeneous Cluster 8 I.2 Contributions 12 Chapter II. Background and Related Work 15 II.1 Background 15 II.1.1 OpenCL 16 II.1.2 OpenMP 23 II.2 Related Work 26 II.2.1 Programming Complexity 26 II.2.2 Support for a Heterogeneous Cluster 29 Chapter III. Lowering the Programming Complexity 34 III.1 Motivating Example 35 III.1.1 Device Constructs 35 III.1.2 Needs for Data Transfer Optimization 41 III.2 Mapping OpenMP to OpenCL 44 III.2.1 Architecture Model 44 III.2.2 Execution Model 45 III.3 Code Translation 46 III.3.1 Translation Process 46 III.3.2 Translating OpenMP to OpenCL 48 III.3.3 Example of Code Translation 50 III.3.4 Data Transfer Minimization (DTM) 62 III.3.5 Performance Portability Enhancement (PPE) 66 III.4 Performance Evaluation 69 III.4.1 Evaluation Methodology 70 III.4.2 Effectiveness of Optimization Techniques 74 III.4.3 Comparison with Other Implementations 79 Chapter IV. Support for a Heterogeneous Cluster 90 IV.1 Problems of Previous Approaches 90 IV.2 The Approach of SnuCL-D 91 IV.2.1 Overhead Analysis 93 IV.2.2 Remote Device Virtualization 94 IV.2.3 Redundant Computation and Data Replication 95 IV.2.4 Memory-read Commands 97 IV.3 Consistency Management 98 IV.4 Deterministic Command Scheduling 100 IV.5 New API Function: clAttachBufferToDevice() 103 IV.6 Queueing Optimization 104 IV.7 Performance Evaluation 105 IV.7.1 Evaluation Methodology 105 IV.7.2 Evaluation with a Microbenchmark 109 IV.7.3 Evaluation on the Large-scale CPU Cluster 111 IV.7.4 Evaluation on the Medium-scale GPU Cluster 123 Chapter V. Conclusion and Future Work 125 Bibliography 129 Korean Abstract 140Docto

    ์••์ถ•์„ ๋ฐ›๋Š” ๊ฐํ˜•๊ฐ•๊ด€ Xํ˜• ์ ‘ํ•ฉ๋ถ€์— ๋Œ€ํ•œ ์‹คํ—˜ ๋ฐ ํ•ด์„์  ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ๊ฑด์ถ•ํ•™๊ณผ, 2018. 2. ์ด์ฒ ํ˜ธ.์ตœ๊ทผ ๊ฑด์ถ•๋ฌผ์€ ๋ฌผ๋ก  ํ•ด์–‘๊ตฌ์กฐ๋ฌผ์—๋„ ์ ์šฉ๋˜๋Š” ๊ฐ•๊ด€์€ ๊ธฐ๋‘ฅ๊ณผ ํŠธ๋Ÿฌ์Šค๋กœ ๋„๋ฆฌ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ๋‹ค. ๊ทธ์ค‘์—์„œ ๊ฐํ˜•๊ฐ•๊ด€์€ ๊ฐ•๊ด€์˜ ์ œ์ž‘๊ณผ ์šฉ์ ‘์ด ๊ฐ„๋‹จํ•˜์—ฌ ์›ํ˜•๊ฐ•๊ด€์„ ๋Œ€์ฒดํ•˜๋Š” ๋‹จ๋ฉด์œผ๋กœ ํ™œ์šฉ๋˜๊ณ  ์žˆ๋‹ค. ๊ฐํ˜•๊ฐ•๊ด€์— ๊ณ ๊ฐ•๋„๊ฐ•๊ด€์„ ์‚ฌ์šฉํ•˜๋ฉด ์„ค๊ณ„๋ถ€ํ„ฐ ์ œ์ž‘, ์šด๋ฐ˜, ์‹œ๊ณต๋ฟ ์•„๋‹ˆ๋ผ ๋ฏธํ•™์  ์ธก๋ฉด์œผ๋กœ๋„ ๋งŽ์€ ์ด์ ์„ ์ทจํ•  ์ˆ˜ ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ณ ๊ฐ•๋„ ๊ฐ•์žฌ๋ฅผ ์ ์šฉํ•˜๋Š” ๋ฐ ์žˆ์–ด ๊ฐ€์žฅ ๊ด€๋Œ€ํ•œ ๊ธฐ์ค€์ธ ์œ ๋กœ์ฝ”๋“œ์—์„œ์กฐ์ฐจ ๊ณ ๊ฐ•๋„ ๊ฐ•์žฌ๋ฅผ ์ ์šฉํ•œ ๊ฐํ˜•๊ฐ•๊ด€ ์ ‘ํ•ฉ๋ถ€์˜ ๊ฐ•๋„๋ฅผ ์‚ฐ์ •ํ•  ๋•Œ์—๋Š” ์‚ฌ์šฉ๋˜๋Š” ๊ฐ•์žฌ์˜ ํ•ญ๋ณต๊ฐ•๋„์— ๋”ฐ๋ผ 0.8 ๋˜๋Š” 0.9์˜ ๊ฐ•๋„๊ฐ์†Œ๊ณ„์ˆ˜๋ฅผ ๊ณฑํ•˜๋„๋ก ์ œํ•œํ•˜๊ณ  ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์œ ๋กœ์ฝ”๋“œ์—์„œ ์ œ์•ˆํ•˜๋Š” ๊ฐ•๋„๊ฐ์†Œ๊ณ„์ˆ˜์˜ ์ ์ ˆ์„ฑ์„ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•ด ๊ฐํ˜•๊ฐ•๊ด€ Xํ˜• ์ ‘ํ•ฉ๋ถ€์— ์••์ถ•๋ ฅ์„ ๊ฐ€ํ•˜๋Š” ์‹คํ—˜์„ ๊ณ„ํšํ•˜์˜€๋‹ค. ์‹คํ—˜๋ณ€์ˆ˜๋Š” 2๊ฐ€์ง€๋กœ ๊ฐ•์žฌ์˜ ํ•ญ๋ณต๊ฐ•๋„(fy)์™€ ์ง€๊ด€๊ณผ ์ฃผ๊ด€ ์‚ฌ์ด์˜ ํญ ๋น„์œจ(ฮฒ)์ด๋‹ค. ์ด 6๊ฐœ์˜ ์‹คํ—˜์ฒด๋ฅผ ์ œ์ž‘ํ•˜์˜€์œผ๋ฉฐ, ์‹คํ—˜๊ฒฐ๊ณผ, ์ ‘ํ•ฉ๋ถ€์˜ ํƒ„์„ฑ๊ตฌ๊ฐ„ ์ดํ›„ ๊ฑฐ๋™์€ ์ง€๊ด€๊ณผ ์ฃผ๊ด€์˜ ํญ ๋น„์œจ์— ๋”ฐ๋ผ ๊ต‰์žฅํ•œ ์ฐจ์ด๋ฅผ ๋ณด์˜€๋‹ค. ๋ชจ๋“  ์‹คํ—˜์ฒด๊ฐ€ ์œ ๋กœ์ฝ”๋“œ ๊ณต์นญ๊ฐ•๋„๋ฅผ ์ดˆ๊ณผํ•˜๋Š” ์‹คํ—˜๊ฐ•๋„๋ฅผ ๋ณด์˜€์œผ๋ฉฐ, ๋ฐœํ˜„๋œ ์‹คํ—˜๊ฐ•๋„๋“ค์€ 0.8์˜ ๊ฐ•๋„๊ฐ์†Œ๊ณ„์ˆ˜๊ฐ€ ์ ์šฉ๋˜์ง€ ์•Š์€ ์œ ๋กœ์ฝ”๋“œ ๊ณต์นญ๊ฐ•๋„์กฐ์ฐจ๋„ ์ƒํšŒํ•˜์˜€๋‹ค. ํ•œํŽธ, ์ง€๊ด€๊ณผ ์ฃผ๊ด€์˜ ํญ์ด ๋™์ผํ•œ Xํ˜• ์ ‘ํ•ฉ๋ถ€ ์‹คํ—˜์ฒด์— ์ ์šฉ๋˜๋Š” ์ฃผ๊ด€์ธก๋ฒฝ ์ขŒ๊ตด๊ฐ•๋„์‹์€ ์‹คํ—˜๊ฐ•๋„๋ฅผ ์ง€๋‚˜์น˜๊ฒŒ ๋ณด์ˆ˜์ ์œผ๋กœ ์˜ˆ์ธกํ•˜์˜€๊ธฐ์— ๊ทธ ์ •ํ™•๋„๋ฅผ ๊ฐœ์„ ํ•ด์•ผํ•œ๋‹ค. ์„ ํ–‰์—ฐ๊ตฌ ์ค‘์—๋Š” ๊ฐœ์„ ๋œ ์ฃผ๊ด€์ธก๋ฒฝ ์ขŒ๊ตด๊ฐ•๋„์‹์„ ์ œ์•ˆํ•˜๋Š” ์—ฐ๊ตฌ๋„ ์žˆ์—ˆ์œผ๋‚˜, ์ด ์—ฐ๊ตฌ์—์„œ ์ œ์•ˆํ•œ ์‹์„ ํ†ตํ•ด ์–ป์€ ์˜ˆ์ธก๊ฐ•๋„๋Š” ๊ณ ๊ฐ•๋„ ๊ฐ•์žฌ๋ฅผ ์ ์šฉํ•œ ์‹คํ—˜์ฒด์˜ ๊ฐ•๋„๋ฅผ ์—ฌ์ „ํžˆ ๋ณด์ˆ˜์ ์œผ๋กœ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ๊ทธ๋Ÿฌ๋ฏ€๋กœ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ƒˆ๋กœ์šด ์ฃผ๊ด€์ธก๋ฒฝ ์ขŒ๊ตด๊ฐ•๋„์‹์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ์ด ์‹์€ ํŒ ์ขŒ๊ตด์— ๊ทผ๊ฑฐํ•œ ์ด๋ก ์  ๋ชจ๋ธ์—์„œ ์œ ๋„๋˜์—ˆ์œผ๋ฉฐ, ์ˆ˜์น˜ํ•ด์„์„ ํ†ตํ•ด ๊ทธ ์œ ํšจ์„ฑ์„ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ๋˜ํ•œ, ์„ ํ–‰ ์—ฐ๊ตฌ๋“ค๋กœ๋ถ€ํ„ฐ ์ˆ˜์ง‘ํ•œ ์‹คํ—˜๊ฐ•๋„ ๋ฐ์ดํ„ฐ๋ฅผ ํ†ตํ•ด ๋ณธ ์—ฐ๊ตฌ์—์„œ ์ œ์‹œํ•œ ์‹๊ณผ ํ˜„ํ–‰ ์ฃผ๊ด€์ธก๋ฒฝ ์ขŒ๊ตด๊ฐ•๋„์‹๋“ค์„ ๋น„๊ตํ•˜์˜€๋‹ค. ๊ฒฐ๋ก ์ ์œผ๋กœ, ๋ณธ ์—ฐ๊ตฌ์—์„œ ์ƒˆ๋กญ๊ฒŒ ์ •์˜ํ•œ ์„ธ์žฅ๋น„๋ฅผ ์œ ๋กœ์ฝ”๋“œ ๊ธฐ๋‘ฅ์ขŒ๊ตด ๊ณก์„  ์ค‘ ํ•˜๋‚˜์ธ c๊ณก์„ ์— ์ ์šฉํ•œ๋‹ค๋ฉด ํ˜„์กดํ•˜๋Š” ๋‹ค๋ฅธ ๊ฐ•๋„์‹๋ณด๋‹ค ๋” ์ผ๊ด€์„ฑ ์žˆ๊ณ  ์ •ํ™•ํ•œ ์˜ˆ์ธก๊ฐ•๋„๋ฅผ ์–ป์„ ์ˆ˜ ์žˆ๋‹ค.Applying high-strength steel to rectangular hollow section (RHS) joints can bring about many technological advantages from design to erection. However, the application of high-strength steel to RHS joints is forbidden or permitted with high-strength penalty in most representative international standards. To examine the appropriateness of the strength reduction penalty imposed on high-strength steels, six RHS X-joint specimens fabricated from high-strength and ordinary steels were tested under axial compression. The key parameters of this experimental test included brace to chord width ratios and grade of steels. All high-strength steel specimens exhibited sufficient strength compared to the EC3 strength criteriatheir strengths were even higher than the EC3 unreduced nominal strength. Significantly different post-elastic joint behavior was observed depending upon the brace to chord width ratio and grade of steels. It was also found that the formulation of sidewall buckling strength in current EC3 is inaccurate (too conservative) and needs to be improved. Although improved strength formula was recently suggested by Becque and Cheng (2016), it is still conservative and inaccurate to evaluate the strength of RHS X-joints fabricated from high-strength steel. A new design formula for RHS X-joint experiencing sidewall buckling was proposed in this thesis. When the new normalized plate slenderness ratio proposed in this study is used in combination with the column curve c of EC3, the accuracy and consistency in strength predictions were much improved compared to strength formulae currently available.Chapter 1. Introduction 1 1.1. Research background 1 1.2. Objectives and scope 3 1.3. Outline of thesis 4 Chapter 2. Review of Design Standards and Previous Studies 7 2.1. Current design codes 7 2.1.1. Joint configuration 8 2.1.2. Range of applicability 11 2.1.3. Chord stress function 14 2.1.4. Failure modes and strength formulae 17 2.1.5. Design example of RHS X-joints per Eurocode3 25 2.2. Backgrounds of current design standards 26 2.2.1. Background of chord plastification 26 2.2.2. Theoretical model of chord sidewall buckling 30 2.2.3. Web crippling strength equation suggested in AISC (2010) 32 2.3. Previous studies 37 2.3.1. Research works about high-strength steel 37 2.3.2. Research works about chord sidewall buckling strength 38 2.3.3. Design equation suggested in Becque and Cheng (2016) 40 2.4. Database collected from previous experimental studies 45 Chapter 3. Experimental Program 49 3.1. Test program 49 3.1.1. Key testing parameters 49 3.1.2. Drawings of specimens 51 3.2. Fabrication and test setup 52 3.2.1. Fabrication of specimens 52 3.2.2. Compression test setup 55 3.3. Test results 55 3.3.1. Material test results 55 3.3.2. Test results of specimens with ฮฒ = 0.625 57 3.3.3. Test results of specimens with ฮฒ = 0.850 60 3.3.4. Test results of specimens with ฮฒ = 1.0 63 3.3.5. Load-deflection characteristics 65 3.4. Comparative analysis of RHS X-joints with ฮฒ = 1 67 3.4.1. Sidewall buckling strength equation in Eurocode3 (2005) 67 3.4.2. Web crippling strength suggested in AISC (2010) 69 3.4.3. Sidewall buckling strength equation proposed by Becque and Cheng (2016) 71 3.5. Summary 72 Chapter 4. New Design Formula for Sidewall Buckling 73 4.1. Introduction 73 4.2. Theoretical model: elastic plate buckling model 74 4.2.1. Basic assumptions 74 4.2.2. Composition of buckled shape function 76 4.2.3. Calculation of total potential energy of buckled plate 77 4.2.4. Buckling stress calculation by the energy principle 78 4.3. Validation by numerical analysis 86 4.3.1. Establishment of finite element analysis model 86 4.3.2. Validation of assumed shape function 90 4.3.3. Validation of elastic buckling strength equation 97 4.4. Proposal of new sidewall buckling strength formula 101 4.4.1. Derivation of slenderness ratio 101 4.4.2. Derivation of chord sidewall buckling strength formula 104 4.4.3. Evaluation of new joint strength formula 105 4.5. Summary 107 Chapter 5. Summary and Conclusions 109 Bibliography 113 Appendix A. MATLAB source codes to calculate buckling stress 117 Abstract (in Korean) 121Maste

    The Financial Competency of Korean Consumers

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    ๋ณธ ์—ฐ๊ตฌ๋Š” ๋ณต์žกํ•ด์ง„ ๊ธˆ์œตํ™˜๊ฒฝ ํ•˜์—์„œ ๊ธˆ์œต์†Œ๋น„์ž๊ฐ€ ์ž์ƒํ•  ์ˆ˜ ์žˆ๋Š” ๋Šฅ๋ ฅ์œผ๋กœ์„œ ์†Œ๋น„์ž ์žฌ๋ฌด๊ด€๋ฆฌ์—ญ๋Ÿ‰์— ์ฃผ๋ชฉํ•˜์—ฌ,์ฒด๊ณ„์ ์ธ ์ฒ™๋„๋ฅผ ์ด์šฉํ•˜์—ฌ ์šฐ๋ฆฌ๋‚˜๋ผ ์†Œ๋น„์ž๋“ค์˜ ์žฌ๋ฌด๊ด€๋ฆฌ์—ญ๋Ÿ‰ ์‹คํƒœ๋ฅผ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ๊ธฐ์กด ์—ฐ๊ตฌ์—์„œ ๊ฐœ๋ฐœ๋œ ์†Œ๋น„์ž ์žฌ๋ฌด๊ด€๋ฆฌ์—ญ๋Ÿ‰ ์ธก์ • ์ฒ™๋„๋ฅผ ์ด์šฉํ•˜์—ฌ ๋Œ€๊ทœ๋ชจ ์˜จ๋ผ์ธ ์„œ๋ฒ ์ด๋ฅผ ์‹ค์‹œํ•˜์˜€์œผ๋ฉฐ, ์žฌ๋ฌด๊ด€๋ฆฌ์—ญ๋Ÿ‰์˜ ๊ตฌ์„ฑ์š”์ธ๋ณ„ ์ ์ˆ˜์™€ ์—ญ๋Ÿ‰์ด์ ์˜ ๊ฐœ๋žต์  ๋ชจ์Šต์„ ์‚ดํŽด๋ณด๊ณ , ๊ฐœ์ธ์˜ ํŠน์„ฑ, ์žฌ๋ฌด์  ํŠน์„ฑ, ์ฃผ๊ด€์  ๋งŒ์กฑ๋„์— ๋”ฐ๋ฅธ ์žฌ๋ฌด๊ด€๋ฆฌ์—ญ๋Ÿ‰ ์ ์ˆ˜๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ „๊ตญ 20์„ธ ์ด์ƒ์˜ ์„ฑ์ธ์†Œ๋น„์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์กฐ์‚ฌํ•œ ๊ฒฐ๊ณผ 1,045๋ช…์˜ ์„ค๋ฌธ์ง€๊ฐ€ ์ตœ์ข… ๋ถ„์„์— ์ด์šฉ๋˜์—ˆ์œผ๋ฉฐ, ์ฃผ์š”๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค.์ฒซ์งธ, ์†Œ๋น„์ž๋“ค์˜ ์žฌ๋ฌด๊ด€๋ฆฌ์—ญ๋Ÿ‰ ์‹คํƒœ๋ฅผ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ์žฌ๋ฌด๊ด€๋ฆฌ์—ญ๋Ÿ‰ ์ด์ ์€ 100์  ๋งŒ์ ์— ํ‰๊ท  63.14์ ์„ ๋‚˜ํƒ€๋‚ด์–ด ์ €์กฐํ•œ ๊ฒƒ์œผ๋กœ ํ‰๊ฐ€๋˜์—ˆ๋‹ค. ๊ตฌ์„ฑ์š”์ธ๋ณ„๋กœ๋Š” ์ง€์‹์—ญ๋Ÿ‰ ์ ์ˆ˜๊ฐ€ ๊ฐ€์žฅ ๋†’๊ณ  ๊ธฐ๋Šฅ์—ญ๋Ÿ‰ ์ ์ˆ˜๊ฐ€ ๊ฐ€์žฅ ๋‚ฎ์•„ ์‹ค์ฒœ์  ์—ญ๋Ÿ‰์˜ ๋ถ€์กฑ์ด ์ž…์ฆ๋˜์—ˆ๊ณ , ํ•˜์œ„์˜์—ญ๋ณ„๋กœ๋Š” ์ˆ˜์ž…๊ณผ ์ง€์ถœ์„ ๊ด€๋ฆฌํ•˜๋Š” ์˜์—ญ์˜ ์—ญ๋Ÿ‰ ์ ์ˆ˜๊ฐ€ ๊ฐ€์žฅ ๋†’์•˜๊ณ  ๋…ธํ›„์„ค๊ณ„ ๋ฐ ์œ„ํ—˜๊ด€๋ฆฌ์— ๊ด€๋ จ๋œ ์—ญ๋Ÿ‰์˜ ์ ์ˆ˜๊ฐ€ ๊ฐ€์žฅ ๋‚ฎ์•˜๋‹ค.๋‘˜์งธ, ๊ฐœ์ธ์  ํŠน์„ฑ๊ณผ ์žฌ๋ฌด๊ด€๋ฆฌ์—ญ๋Ÿ‰ ์ˆ˜์ค€ ๊ฐ„ ๊ด€๊ณ„๋ฅผ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ๋‚จ์„ฑ์ธ ๊ฒฝ์šฐ, ์—ฐ๋ น์ด ๋†’์„์ˆ˜๋ก, ์ง์—…์ด ์žˆ๋Š” ์‚ฌ๋žŒ์ธ ๊ฒฝ์šฐ, ํ•™๋ ฅ์ด ๋†’์„์ˆ˜๋ก ๊ตฌ์„ฑ์š”์ธ๋ณ„ ์—ญ๋Ÿ‰ ์ ์ˆ˜ ๋ฐ ์—ญ๋Ÿ‰์ด์ ์ด ๋†’์•„์ง€๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜ ๊ฑฐ์ฃผ์ง€์—ญ์— ๋”ฐ๋ผ์„œ๋Š” ํƒœ๋„๋‚˜ ์ง€์‹ ๋“ฑ ์ธ์ง€์  ์ธก๋ฉด์˜ ์—ญ๋Ÿ‰์€ ์„œ์šธ ์™ธ ์ˆ˜๋„๊ถŒ๊ณผ ์ค‘์†Œ๋„์‹œ/์๋ฉด๋ถ€ ๊ฑฐ์ฃผ์ž๊ฐ€ ๋” ์šฐ์ˆ˜ํ•œ ์ ์ˆ˜๋ฅผ ๋‚˜ํƒ€๋‚ธ ๋ฐ˜๋ฉด, ๊ธฐ๋Šฅ์—ญ๋Ÿ‰์€ ์„œ์šธ์‹œ์™€ ๊ด‘์—ญ์‹œ ๊ฑฐ์ฃผ์ž๋“ค์ด ๋” ์šฐ์ˆ˜ํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜ ์„œ๋กœ ์ƒ๋ฐ˜๋œ ๋ชจ์Šต์„ ๋ณด์˜€๋‹ค.์…‹์งธ, ์žฌ๋ฌด์  ํŠน์„ฑ๊ณผ ์žฌ๋ฌด๊ด€๋ฆฌ์—ญ๋Ÿ‰ ์ˆ˜์ค€ ๊ฐ„ ๊ด€๊ณ„๋ฅผ ๊ณ ์ฐฐํ•œ ๊ฒฐ๊ณผ, ์ƒํ™œ๋น„ ์ˆ˜์ค€์ด ๋†’์„์ˆ˜๋ก, ์ €์ถ•ํˆฌ์ž๋ฅผ ๋งŽ์ด ํ• ์ˆ˜๋ก, ์ €์ถ•์„ฑํ–ฅ์ด ๊ธฐ์ค€์„ ์ถฉ์กฑ์‹œํ‚ฌ ๊ฒฝ์šฐ์— ํƒœ๋„, ์ง€์‹, ๊ธฐ๋Šฅ์—ญ๋Ÿ‰์ด ๋ชจ๋‘ ๋†’์•„์ง€๋Š” ๊ฒฝํ–ฅ์ด ์žˆ์—ˆ์œผ๋ฉฐ, ๊ธˆ์œต์ž์‚ฐ ๋ฐ ๋ถ€๋™์‚ฐ์ด ๋งŽ์„์ˆ˜๋ก, ์†Œ๋“ ๋ฐ ์ƒํ™œ๋น„ ๋Œ€๋น„ ๊ธˆ์œต์ž์‚ฐ์ด ๊ธฐ์ค€์„ ์ถฉ์กฑ์‹œํ‚ค๋Š” ๊ฒฝ์šฐ, ๊ธˆ์œต์ž์‚ฐ ๋Œ€๋น„ ์ด๋ถ€์ฑ„์•ก์ˆ˜๊ฐ€ ๊ธฐ์ค€์„ ์ถฉ์กฑ์‹œํ‚ค๋Š” ๊ฒฝ์šฐ, ๊ทธ๋ฆฌ๊ณ  ํˆฌ์ž์„ฑํ–ฅ์ง€ํ‘œ์™€ ์œ ๋™์„ฑ์ง€ํ‘œ๋ฅผ ๋งŒ์กฑ์‹œํ‚ค๋Š” ๊ฒฝ์šฐ์— ๊ธฐ๋Šฅ์—ญ๋Ÿ‰์ด ์šฐ์ˆ˜ํ•˜์˜€๋‹ค.๋„ท์งธ, ์šฐ๋ฆฌ๋‚˜๋ผ ์†Œ๋น„์ž๋“ค์˜ ์ƒํ™œ์ˆ˜์ค€ ๋ฐ ์žฌ์ •์ƒํƒœ์— ๋Œ€ํ•œ ๋งŒ์กฑ๋„๋Š” ์ค‘~ํ•˜ ์ˆ˜์ค€์ธ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์ด๋Ÿฌํ•œ ๋งŒ์กฑ๋„ ์ ์ˆ˜์— ๋”ฐ๋ผ ์žฌ๋ฌด๊ด€๋ฆฌ์—ญ๋Ÿ‰ ์ˆ˜์ค€์—๋„ ์ฐจ์ด๊ฐ€ ์žˆ์–ด์„œ ๊ฐ๊ด€์ ?์ฃผ๊ด€์  ์žฌ๋ฌด์  ํŠน์„ฑ์ด ๋” ๋‚˜์€ ์‚ฌ๋žŒ๋“ค์ด ์žฌ๋ฌด๊ด€๋ฆฌ์—ญ๋Ÿ‰ ์ˆ˜์ค€๋„ ๋” ์šฐ์ˆ˜ํ•˜์˜€๋‹ค.๋‹ค์„ฏ์งธ, ์žฌ๋ฌด์  ํŠน์„ฑ๊ณผ ์ฃผ๊ด€์  ๋งŒ์กฑ๋„์— ๋”ฐ๋ฅธ ์žฌ๋ฌด๊ด€๋ฆฌ์—ญ๋Ÿ‰์„ ์‚ดํŽด๋ณธ ๊ฒฐ๊ณผ๋“ค๋กœ๋ถ€ํ„ฐ, ์†Œ๋น„์ž์˜ ์žฌ๋ฌด์  ๋ณต์ง€์— ๊ฐ€์žฅ๊ธด๋ฐ€ํ•œ ์—ฐ๊ด€์ด ์žˆ๋Š” ๊ตฌ์„ฑ์š”์ธ์€ ๊ธฐ๋Šฅ์—ญ๋Ÿ‰์ž„์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค.์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋“ค์„ ํ† ๋Œ€๋กœ, ์‹ค์ฒœ์  ์—ญ๋Ÿ‰์— ์ดˆ์ ์„ ๋‘” ๊ธˆ์œต๊ต์œก ๋ฐ ์ •์ฑ…์˜ ๊ณ ์•ˆ, ์žฌ๋ฌด๊ด€๋ฆฌ์— ์žˆ์–ด์„œ ๋ถ€์กฑํ•œ ์—ญ๋Ÿ‰์„๋ณด์ถฉํ•˜๊ธฐ ์œ„ํ•œ ์ „๋ฌธ๊ฐ€ ์ž๋ฌธ ๊ฐ•์กฐ, ๊ธฐ๋Šฅ์—ญ๋Ÿ‰์˜ ๊ฐ•ํ™”๋ฅผ ์œ„ํ•œ ๋‹ค์–‘ํ•œ ์ •๋ณด์› ๋ฐ ์ธํ”„๋ผ์—์˜ ์ ‘๊ทผ์„ฑ ํ™•๋ณด, ์žฌ๋ฌด์  ๋ณต์ง€ํ–ฅ์ƒ์„ ์œ„ํ•œ ๊ตญ๊ฐ€์  ์ฐจ์›์˜ ์žฌ๋ฌด๊ด€๋ฆฌ์—ญ๋Ÿ‰ ์ฆ์ง„ ํ•„์š”์„ฑ, ์ฒด๊ณ„์ ์œผ๋กœ ์žฌ๋ฌด๊ด€๋ฆฌ์˜ ์‹ค์ฒœ์„ ์ƒํ™œ ์†์œผ๋กœ ๋Œ์–ด๋“ค์ผ ์ˆ˜ ์žˆ๋Š” ์ •์ฑ…์˜ ๊ณ ์•ˆ ๋“ฑ์„ ์ œ์–ธํ•˜์˜€๋‹ค.The purposes of this study were to examine the financial competency of Korean consumers and to verify the difference of financial competency according to their various characteristics. To measure financial competency, the structured questionnaire developed by previous study was used. An on-line questionnaire survey was conducted and 1,045 subjects, who were managing their own financial lives and aged 20 and over, were selected. The major findings were as follows: First, the financial competency of Korean consumers was not satisfactory. They scored 63.14 of 100 points on average. To be detailed, the highest score came from the knowledge component and the lowest point was obtained in the skill component, which indicates that they do not tend to make the use of their knowledge. As for the sub-categories, they showed the highest quality in managing their income and spending, while recording the lowest point in retirement planning and risk management. Second, the analysis on the relations between personal characteristics and the level of financial competency found that consumers who were older-aged, male, with higher education, having job obtained higher scores in each component and total scores. By the location of residence, the scores for cognitive components such as the attitude and knowledge were shown higher among people living in small and mid-size city areas, while the point for the financial skills was recorded higher among people from Seoul and other metropolitan cities. Third, the study to understand the relation between financial characteristics and the level of consumer financial competency showed that the scores for the attitude, knowledge and skills were higher when living enpenses are higher, the amount of savings and investment is more, and the standard of propensity to save is met. Particularly, the financial skill was higher when the people own more financial assets and real estate, their financial assets meet certain requirements compared knowledgincome and living enpenses, their total debt amount knowledgfinancial assets meet certain requirement, and theedginvestment tendr the nd liquidity indices meet certain levels. Fourth, the satisfaction of Korean consumers with their living standards and financial circumstances were found to range from moderate to low. The satisfaction scores were also related to their financial competency and people with advanced financial characteristics showed higher competency to managing their financial affairs. Fifth, as for financial characteristics and subjective satisfaction, it was the skill component that was the most closely related to consumer financial welfare. As developing the functional skill will be the most effective way to help improve the welfare, focusing on making people act on real life will help when educating consumers on financial management. These results of this study are expected to offer guidance for policy-making and consumer education in order to protect consumers and enhance their financial welfare, and provide the foundation to produce sound, responsible and competent consumers in financial market.OAIID:oai:osos.snu.ac.kr:snu2012-01/102/0000003638/1SEQ:1PERF_CD:SNU2012-01EVAL_ITEM_CD:102USER_ID:0000003638ADJUST_YN:YEMP_ID:A004937DEPT_CD:358CITE_RATE:0FILENAME:์ฒจ๋ถ€๋œ ๋‚ด์—ญ์ด ์—†์Šต๋‹ˆ๋‹ค.DEPT_NM:์†Œ๋น„์žํ•™๊ณผEMAIL:[email protected]_YN:NCONFIRM:

    The Development of Retirement Readiness Composite Index of Korea

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    ์ตœ๊ทผ ๊ธ‰์†ํ™”๋œ ๊ณ ๋ นํ™” ์ถ”์„ธ์— ๋”ฐ๋ผ ๊ฒฝ์ œ์ƒํ™œ์„ ์‹œ์ž‘ํ•˜๋Š” ์ Š์€ ์‹œ๊ธฐ๋ถ€ํ„ฐ ์ƒ์• ์„ค๊ณ„์˜ ๊ด€์ ์—์„œ ์€ํ‡ด์„ค๊ณ„์— ์ ‘๊ทผํ•  ํ•„์š”์„ฑ์ด ๋Œ€๋‘๋˜๊ณ  ์žˆ์œผ๋‚˜, ์‹ค์ œ๋กœ๋Š” ์ž์‹ ์˜ ๋…ธํ›„๋ฅผ ๊ฒฝ์ œ์ , ์‹ฌ๋ฆฌ์ ์œผ๋กœ ๋Œ€๋น„ํ•˜์ง€ ๋ชปํ•œ ์ฑ„ ์€ํ‡ด๋ฅผ ํ•˜๋Š” ์‚ฌ๋ก€๊ฐ€ ์†์ถœํ•˜์—ฌ ์‚ฌํšŒ์ ์ธ ์šฐ๋ ค๊ฐ€ ์ฆ๋Œ€๋˜๊ณ  ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ๊ฐ€๊ณ„์˜ ์žฌ๋ฌด์ , ๋น„์žฌ๋ฌด์  ์ธก๋ฉด์„ ์ข…ํ•ฉํ•œ ๊ด€์ ์—์„œ ์€ํ‡ด์ƒํ™œ์˜ ๋‹ค์–‘ํ•œ ์˜์—ญ์„ ํฌ๊ด„ํ•˜๋Š” ์€ํ‡ด์ค€๋น„์ข…ํ•ฉ์ง€์ˆ˜๋ฅผ ๊ฐœ๋ฐœํ•˜๊ณ  ์šฐ๋ฆฌ๋‚˜๋ผ ๊ฐ€๊ณ„์˜ ์€ํ‡ด์ค€๋น„ํ˜„ํ™ฉ์„ ํŒŒ์•…ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ด๋ฅผ ์œ„ํ•ด ๊ตญ๋‚ด?์™ธ์˜ ์„ ํ–‰์—ฐ๊ตฌ ๊ณ ์ฐฐ์„ ํ†ตํ•ด ์„ค๋ฌธ์ง€๋ฅผ ๊ฐœ๋ฐœํ•˜๊ณ  20๏ฝž60๋Œ€ ์ด์ƒ 1,800๋ช…์—๊ฒŒ ์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ์‹ค์‹œํ•˜์—ฌ ์ž๋ฃŒ๋ฅผ ํ™•๋ณดํ•œ ํ›„ ๋‹ค์–‘ํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜๊ณผ ํšŒ๊ท€๋ถ„์„์„ ํ†ตํ•ด ์€ํ‡ด์ค€๋น„์ข…ํ•ฉ์ง€์ˆ˜๋ฅผ ์‚ฐ์ถœํ•˜์˜€๋‹ค. ๋˜ํ•œ ๊ฐœ๋ฐœ๋œ ์€ํ‡ด์ค€๋น„์ง€์ˆ˜๋ฅผ ์กฐ์‚ฌ๋Œ€์ƒ์ž๋“ค์—๊ฒŒ ์ ์šฉํ•˜์—ฌ ์šฐ๋ฆฌ๋‚˜๋ผ ๊ฐ€๊ณ„์˜ ์€ํ‡ด์ค€๋น„์ˆ˜์ค€์„ ํŒŒ์•…ํ•˜์˜€๋‹ค. ์ฃผ์š” ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค.์ฒซ์งธ, ์ฒด๊ณ„๋ก (systems theory)์— ๊ธฐ๋ฐ˜์„ ๋‘๊ณ  ์žฌ๋ฌด์„ค๊ณ„๊ณผ์ •์„ ๋ฐ˜์˜ํ•˜์—ฌ ์ƒํ™œ์— ๋Œ€ํ•œ ํ‰๊ฐ€์™€ ๊ณ„ํš ๋ฐ ์‹คํ–‰์„ ์€ํ‡ด์ค€๋น„์— ์ ์šฉํ•˜๋Š” SPA๋ชจํ˜•์„ ๊ฐœ๋ฐœํ•˜์—ฌ ์€ํ‡ด์ค€๋น„์ข…ํ•ฉ์ง€์ˆ˜๋ฅผ ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. ์€ํ‡ด์ค€๋น„์ข…ํ•ฉ์ง€์ˆ˜๋Š” ํ–‰๋ณตํ•œ ์€ํ‡ด์ƒํ™œ์„ ๋ชฉํ‘œ๋กœ ํ˜„์žฌ์ƒํ™œ์— ๋Œ€ํ•œ ํ‰๊ฐ€(๋งŒ์กฑ๋„, Satisfaction)์™€ ๊ณ„ํš(Planning)๊ณผ ์‹คํ–‰(Action)์˜ ํ•ฉ์œผ๋กœ ์—ฌ๊ฐ€, ์ผ, ๊ฐ€์กฑ ๋ฐ ์นœ๊ตฌ, ์ฃผ๊ฑฐ, ๋งˆ์Œ์˜ ์•ˆ์ •, ์žฌ๋ฌด, ๊ฑด๊ฐ•์ด๋ผ๋Š” ํ–‰๋ณตํ•œ ์€ํ‡ด์ƒํ™œ์˜ 7๊ฐœ ํ•˜์œ„์˜์—ญ(RAINBOW)์˜ ํ˜„์žฌ ์€ํ‡ด์ค€๋น„์ •๋„๋ฅผ ์ธก์ •ํ•œ ๊ฒƒ์ด๋‹ค. ๋‘˜์งธ, ์šฐ๋ฆฌ๋‚˜๋ผ ๊ฐ€๊ณ„์˜ ์€ํ‡ด์ค€๋น„์ •๋„๋Š” 100์  ๋งŒ์ ์— 58.3์ ์ด๋ฉฐ 7๊ฐ€์ง€ ํ•˜์œ„์˜์—ญ ์ค‘, ์ผ๊ณผ ์žฌ๋ฌด์  ์ธก๋ฉด์˜ ์ค€๋น„๊ฐ€ ๊ฐ€์žฅ ์ทจ์•ฝํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋Š” ์€ํ‡ด์ค€๋น„์ˆ˜์ค€์„ ์ •ํ™•ํ•˜๊ฒŒ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์€ํ‡ด์ƒํ™œ์˜ 7๊ฐ€์ง€ ํ•˜์œ„์˜์—ญ์„ ์ข…ํ•ฉ์ ์œผ๋กœ ๋ฐ˜์˜ํ•˜๋Š” ๊ฒƒ์ด ํ•„์ˆ˜์ ์ด๋ฉฐ ๋ชฉํ‘œ์— ๋”ฐ๋ผ ๊ณ„ํš์„ ์„ธ์šด ํ›„ ์‹คํ–‰์œผ๋กœ ์˜ฎ๊ธฐ๋Š” ์ „ ๊ณผ์ •์ด ๊ณ ๋ฃจ ๋ฐ˜์˜๋˜์–ด์•ผ ํ•จ์„ ์‹œ์‚ฌํ•œ๋‹ค. ๋˜ํ•œ ์€ํ‡ด์ค€๋น„์ˆ˜์ค€์„ ํ–ฅ์ƒ์‹œํ‚ค๊ธฐ ์œ„ํ•ด ๊ฐ€๊ณ„์˜ ํŠน์„ฑ์— ๋”ฐ๋ฅธ ์ƒ์• ์€ํ‡ด์„ค๊ณ„๊ต์œก์ด ํ•„์š”ํ•  ๊ฒƒ์œผ๋กœ ํŒ๋‹จ๋˜์—ˆ๋‹ค.OAIID:oai:osos.snu.ac.kr:snu2012-01/102/0000003638/9SEQ:9PERF_CD:SNU2012-01EVAL_ITEM_CD:102USER_ID:0000003638ADJUST_YN:YEMP_ID:A004937DEPT_CD:358FILENAME:์ฒจ๋ถ€๋œ ๋‚ด์—ญ์ด ์—†์Šต๋‹ˆ๋‹ค.DEPT_NM:์†Œ๋น„์žํ•™๊ณผEMAIL:[email protected]_YN:NCONFIRM:
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