14 research outputs found

    Some recent advances in numerical solutions of electromagnetic problems.

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    Zhang Kai.Thesis (M.Phil.)--Chinese University of Hong Kong, 2005.Includes bibliographical references (leaves 99-102).Abstracts in English and Chinese.Chapter 1 --- Introduction --- p.6Chapter 1.1 --- The Generalized PML Theory --- p.6Chapter 1.1.1 --- Background --- p.6Chapter 1.1.2 --- Derivation --- p.8Chapter 1.1.3 --- Reflection Properties --- p.11Chapter 1.2 --- Unified Formulation --- p.12Chapter 1.2.1 --- "Face-, Edge- and Corner-PMLs" --- p.12Chapter 1.2.2 --- Unified PML Equations in 3D --- p.15Chapter 1.2.3 --- Unified PML Equations in 2D --- p.16Chapter 1.2.4 --- Examples of PML Formulations --- p.16Chapter 1.3 --- Inhomogeneous Initial Conditions --- p.23Chapter 2 --- Numerical Analysis of PMLs --- p.25Chapter 2.1 --- Continuous PMLs --- p.26Chapter 2.1.1 --- PMLs for Wave Equations --- p.27Chapter 2.1.2 --- Finite PMLs for Wave Equations --- p.31Chapter 2.1.3 --- Berenger's PMLs for Maxwell Equations --- p.33Chapter 2.1.4 --- Finite Berenger's PMLs for Maxwell Equations --- p.35Chapter 2.1.5 --- PMLs for Acoustic Equations --- p.38Chapter 2.1.6 --- Berenger's PMLs for Acoustic Equations --- p.39Chapter 2.1.7 --- PMLs for 1-D Hyperbolic Systems --- p.42Chapter 2.2 --- Discrete PMLs --- p.44Chapter 2.2.1 --- Discrete PMLs for Wave Equations --- p.44Chapter 2.2.2 --- Finite Discrete PMLs for Wave Equations --- p.51Chapter 2.2.3 --- Discrete Berenger's PMLs for Wave Equations --- p.53Chapter 2.2.4 --- Finite Discrete Berenger's PMLs for Wave Equations --- p.56Chapter 2.2.5 --- Discrete PMLs for 1-D Hyperbolic Systems --- p.58Chapter 2.3 --- Modified Yee schemes for PMLs --- p.59Chapter 2.3.1 --- Stability of the Yee Scheme for Wave Equation --- p.61Chapter 2.3.2 --- Decay of the Yee Scheme Solution to the Berenger's PMLs --- p.62Chapter 2.3.3 --- Stability and Convergence of the Yee Scheme for the Berenger's PMLs --- p.67Chapter 2.3.4 --- Decay of the Yee Scheme Solution to the Hagstrom's PMLs --- p.70Chapter 2.3.5 --- Stability and Convergence of the Yee Scheme for the Hagstrom's PMLs --- p.75Chapter 2.4 --- Modified Lax-Wendroff Scheme for PMLs --- p.80Chapter 2.4.1 --- Exponential Decays in Parabolic Equations --- p.80Chapter 2.4.2 --- Exponential Decays in Hyperbolic Equations --- p.82Chapter 2.4.3 --- Exponential Decays of Modified Lax-Wendroff Solutions --- p.86Chapter 3 --- Numerical Simulation --- p.93Bibliography --- p.9

    Efficient automotive electromagnetic modelling

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    The Transmission Line Modelling (TLM) method is applied to the electromagnetic modelling of vehicles. Implications of increasing frequencies in computer models of electromagnetic compatibility (EMC) studies are discussed. Efficient algorithms and resource management strategies are developed With a view to producing accurate results m a realistic computational run time. Theoretical aspects covered are: (1) the development and accuracy of the TLM method; (2) an improved Partial Huygens' surface for plane wave excitation; (3) an evaluation of high-performance local and global absorbing boundary conditions. Implementation aspects of TLM addressed include: (1) the effects of arithmetic precision on link line voltage and stub impedance calculations; (2) the development of an object-oriented computer code using the Object Modelling Technique; (3) methods for estimating and managing the memory requirement and run lime of simulations. It is shown that by optimizing algorithms and carefully managing resources, sufficient improvement can be made to allow relatively sophisticated models to be run on a modest desktop computer

    Advances in beam propagation method for facet reflectivity analysis

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    Waveguide discontinuities are frequently encountered in modern photonic structures. It is important to characterize the reflection and transmission that occurs at the discontinuous during the design and analysis process of these structures. Significant effort has been focused upon the development of accurate modelling tools, and a variety of modelling techniques have been applied to solve this kind of problem. Throughout this work, a Transmission matrix based Bidirectional Beam Propagation Method (T-Bi-BPM) is proposed and applied on the uncoated facet and the single coating layer reflection problems, including both normal and angled incident situations. The T-Bi-BPM method is developed on the basis of an overview of Finite Difference Beam Propagation Method (FD-BPM) schemes frequently used in photonic modelling including paraxial FD-BPM, Imaginary Distance (ID) BPM, Wide Angle (WA) BPM and existing Bidirectional (Bi) BPM methods. The T-Bi-BPM establishes the connection between the total fields on either side of the coating layer and the incident field at the input of a single layer coated structure by a matrix system on the basis of a transmission matrix equation used in a transmission line approach. The matrix system can be algebraically preconditioned and then solved by sparse matrix multiplications. The attraction of the T-Bi-BPM method is the potential for more rapid evaluation without iterative approach. The accuracy of the T-Bi-BPM is verified by simulations and the factors that affect the accuracy are investigated

    Numerical methods for electromagnetic wave propagation and scattering in complex media

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    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.Vita.Includes bibliographical references (p. 227-242).Numerical methods are developed to study various applications in electromagnetic wave propagation and scattering. Analytical methods are used where possible to enhance the efficiency, accuracy, and applicability of the numerical methods. Electromagnetic induction (EMI) sensing is a popular technique to detect and discriminate buried unexploded ordnance (UXO). Time domain EMI sensing uses a transient primary magnetic field to induce currents within the UXO. These currents induce a secondary field that is measured and used to determine characteristics of the UXO. It is shown that the EMI response is difficult to calculate in early time when the skin depth is small. A new numerical method is developed to obtain an accurate and fast solution of the early time EMI response. The method is combined with the finite element method to provide the entire time domain response. The results are compared with analytical solutions and experimental data, and excellent agreement is obtained. A fast Method of Moments is presented to calculate electromagnetic wave scattering from layered one dimensional rough surfaces. To facilitate the solution, the Forward Backward method with Spectral Acceleration is applied. As an example, a dielectric layer on a perfect electric conductor surface is studied. First, the numerical results are compared with the analytical solution for layered flat surfaces to partly validate the formulation. Second, the accuracy, efficiency, and convergence of the method are studied for various rough surfaces and layer permittivities. The Finite Difference Time Domain (FDTD) method is used to study metamaterials exhibiting both negative permittivity and permeability in certain frequency bands.(cont.) The structure under study is the well-known periodic arrangement of rods and split-ring resonators, previously used in experimental setups. For the first time, the numerical results of this work show that fields propagating inside the metamaterial with a forward power direction exhibit a backward phase velocity and negative index of refraction. A new metamaterial design is presented that is less lossy than previous designs. The effects of numerical dispersion in the FDTD method are investigated for layered, anisotropic media. The numerical dispersion relation is derived for diagonally anisotropic media. The analysis is applied to minimize the numerical dispersion error of Huygens' plane wave sources in layered, uniaxial media. For usual discretization sizes, a typical reduction of the scattered field error on the order of 30 dB is demonstrated. The new FDTD method is then used to study the Angular Correlation Function (ACF) of the scattered fields from continuous random media with and without a target object present. The ACF is shown to be as much as 10 dB greater when a target object is present for situations where the target is undetectable by examination of the radar cross section only.by Christopher D. Moss.Ph.D

    ๋ฐ•๋ง‰ํ˜• ํƒœ์–‘์ „์ง€ ์ˆ˜์น˜ํ•ด์„์„ ์œ„ํ•œ ํšจ์œจ์  ์•Œ๊ณ ๋ฆฌ์ฆ˜์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ํ˜‘๋™๊ณผ์ • ๊ณ„์‚ฐ๊ณผํ•™ ์ „๊ณต, 2013. 8. ์‹ ๋™์šฐ.๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋ฌด์ž‘์œ„์˜ ๋ณต์žกํ•œ 3์ฐจ์› ํ‘œ๋ฉด ํ˜•์ƒ์„ ๊ฐ€์ง„ ๋ฌผ์ฒด๋ฅผ ํ‰๊ท ์ ์œผ๋กœ O(logN) ์‹œ๊ฐ„ ๋ณต์žก๋„๋ฅผ ๊ฐ€์ง€๊ณ  ๊ต์ฐจ๊ฒ€์‚ฌ๋ฅผ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ๊ธฐ๋ฐ˜์œผ๋กœ ๋ฐ•๋ง‰ํ˜• ํƒœ์–‘์ „์ง€ (Thin Film Solar Cell)์˜ ํก์ˆ˜ ํšจ์œจ์„ ํšจ๊ณผ์ ์œผ๋กœ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ํ•˜๊ธฐ ์œ„ํ•œ ๋ฐฉ๋ฒ•์„ ๋…ผํ•˜์˜€๋‹ค. 3์ฐจ์› ํ”ผ๋ผ๋ฏธ๋“œ ํ˜•์ƒ์„ ๋ฐ•๋ง‰ํ˜• ํƒœ์–‘์ „์ง€ ํ‘œ๋ฉด์— ์–‘๊ฐํ•œ ๊ฒฝ์šฐ, 3์ฐจ์› ํ‘œ๋ฉด ํ˜•์ƒ์˜ ํฌ๊ธฐ์™€ ๋ฐ€๋„๊ฐ€ ํก์ˆ˜ ํšจ์œจ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๊ฒŒ ๋˜๋ฏ€๋กœ ์ด๋“ค์— ๋Œ€ํ•œ ์ตœ์  ์„ค๊ณ„ ๊ฐ’๋“ค์„ ์ฐพ๊ณ ์ž ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ฐฉ๋ฒ•์„ ์ด์šฉํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋ฌด์ˆ˜ํžˆ ๋งŽ์€ 3์ฐจ์› ํ‘œ๋ฉด ํ˜•์ƒ๋“ค์— ๋Œ€ํ•œ ์ตœ์ ์˜ ๊ต์ฐจ๊ฒ€์‚ฌ ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ kd-tree ๊ฐ€์†ํ™” ๊ตฌ์กฐ๋ฅผ ๋ณ€ํ˜•ํ•˜์—ฌ ๊ฐœ๋ฐœํ•˜์˜€๊ณ , ์ด๋ฅผ ๊ด‘์„  ์ถ”์  ๋ฒ• (Ray tracing)์— ์ ์šฉํ•˜์—ฌ ํ‰๊ท  ๊ต์ฐจ๊ฒ€์‚ฌ ์‹œ๊ฐ„์„ O((log N)์œผ๋กœ ํ•˜๋Š” ์ƒˆ๋กœ์šด ๊ด‘์„  ์ถ”์ ์— ์˜ํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ฐฉ๋ฒ•์„ ๊ณ ์•ˆํ•˜์˜€๋‹ค. ์ด ๋ฐฉ๋ฒ•์€ ๊ธฐ์กด ์—ฐ๊ตฌ๋“ค์—์„œ ํ•œ๋ฒˆ๋„ ์—ฐ๊ตฌ๋˜์ง€ ์•Š์€ ์ƒˆ๋กœ์šด ๋ฐฉ๋ฒ•์œผ๋กœ, ํ‘œ๋ฉด ํ˜•์ƒ๋“ค์„ ์‹ค์ œ ๊ฐ์ฒด๋กœ ์ธ์ง€ํ•˜์—ฌ ๊ต์ฐจ๊ฒ€์‚ฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜๋ฉด์„œ๋„ ์ข…๋ž˜์˜ O(N)~O(N2) ๊ต์ฐจ๊ฒ€์‚ฌ ์‹œ๊ฐ„์„ O(log N)์œผ๋กœ ๋‹จ์ถ•์‹œํ‚ค๋Š” ๊ฒฐ๊ณผ๋ฅผ ์–ป์—ˆ๋‹ค. ๋˜ํ•œ ์ด์ „ ์—ฐ๊ตฌ๋“ค์—์„œ ๋ฐ˜์‚ฌ์œจ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์— ์˜์กดํ•˜์—ฌ ๊ฐ„์ ‘์ ์œผ๋กœ ๊ณ„์‚ฐํ•˜๋˜ ์—๋„ˆ์ง€ ํก์ˆ˜ ํšจ์œจ์„ ์ง์ ‘์ ์œผ๋กœ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ํ•จ์€ ๋ฌผ๋ก ์ด๊ณ  ๊ฐ ์ธต๋ณ„ ์—๋„ˆ์ง€ ํก์ˆ˜์œจ์„ ๊ฐ„์„ญํ˜„์ƒ์„ ๋ฐ˜์˜ํ•˜์—ฌ ์ง์ ‘์ ์œผ๋กœ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ๋ฒ•์„ ๊ณ ์•ˆํ•˜์˜€๋‹ค. ์ด ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ํšจ์œจ์„ฑ ๋ฐ ์ •ํ™•์„ฑ์€ ๋‹ค๋ฅธ ์•Œ๊ณ ๋ฆฌ์ฆ˜๊ณผ์˜ ์ˆ˜ํ–‰ ์‹œ๊ฐ„ ๋น„๊ต ๋ฐ ์‹ค์ธก ์ž๋ฃŒ์™€ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ์™€์˜ ์˜ค์ฐจ ๋ถ„์„์„ ํ†ตํ•ด ๊ฒ€์ฆ ํ•˜์˜€๋‹ค. ๋ฐ•๋ง‰ํ˜• ํƒœ์–‘์ „์ง€์˜ ํฌ๊ธฐ๊ฐ€ ๋‚˜๋…ธ๋ฏธํ„ฐ ๋‹จ์œ„๋กœ ์ž‘์•„์ง„ ๊ฒฝ์šฐ, ์œ ํ•œ์ฐจ๋ถ„ ์‹œ๊ฐ„์˜์—ญ (FDTD)๋ฒ•์„ ์ด์šฉํ•˜๊ฒŒ ๋˜๋Š”๋ฐ, ํ˜„์žฌ๊นŒ์ง€ ์—ฐ๊ตฌ๋œ ๋ฐฉ๋ฒ•๋“ค๋กœ๋Š” ์ ์€ ์ „์‚ฐ ์ž์›์„ ์‚ฌ์šฉํ•˜์—ฌ ๋น ๋ฅธ ์‹œ๊ฐ„ ๋‚ด์— ์ •ํ™•ํ•œ ํก์ˆ˜ ์—๋„ˆ์ง€๋ฅผ ๊ณ„์‚ฐํ•˜๋Š”๋ฐ ํ•œ๊ณ„๊ฐ€ ์žˆ์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ž์œ ๋กœ์šด ํ˜•ํƒœ์˜ ์‹œ์Šคํ…œ์— ๋Œ€ํ•ด์„œ ๊ฐ ๋ฌผ์งˆ๋“ค์˜ ์—ฐ์†๋œ ๊ฒฝ๊ณ„ ๋ฉด์„ ํšจ์œจ์ ์œผ๋กœ ์ถ”์ถœํ•˜์—ฌ Poynting ์ด๋ก ์˜ ๋ฐœ์‚ฐ (Divergence) ๋ถ€๋ถ„์˜ ์‹์„ ์ ์šฉํ•˜๋Š” ๋ฐฉ๋ฒ•์œผ๋กœ ์ ์€ ์ „์‚ฐ ์ž์›์œผ๋กœ ๋น ๋ฅธ ์‹œ๊ฐ„ ๋‚ด์— ์ƒ๋‹นํ•œ ์ •ํ™•๋„๋ฅผ ๊ฐ€์ง€๊ณ  ํก์ˆ˜ ์—๋„ˆ์ง€๋ฅผ ๊ณ„์‚ฐํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ๋ฒ•์„ ๊ณ ์•ˆํ•˜์˜€๋‹ค. ์ด ๋ฐฉ๋ฒ•์˜ ์ •ํ™•์„ฑ์€ ํ•ด์„ ๊ฐ€๋Šฅํ•œ ๋ชจ๋ธ์˜ Mie ํ™•์‚ฐ ๋ชจ๋ธ์˜ ๊ณ„์‚ฐ ๊ฒฐ๊ณผ์™€ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๋ฅผ ๋น„๊ตํ•จ์œผ๋กœ์จ ๊ฒ€์ฆํ•˜์˜€์œผ๋ฉฐ, ๊ณก๋ฉด ๋ชจ๋ธ์— ๋Œ€ํ•ด์„œ๋Š” ๊ณก๋ฅ  ๋ฐ˜๊ฒฝ์„ ๋ณ€ํ™”์‹œ์ผœ๊ฐ€๋ฉฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ํ•œ ๊ฒฐ๊ณผ๊ฐ€ ๋ฌผ๋ฆฌ์  ์œ ์˜์„ฑ์„ ๋‚˜ํƒ€๋ƒ„์„ ๋ณด์ž„์œผ๋กœ์จ ๊ฒ€์ฆ ํ•˜์˜€๋‹ค.In this thesis, I proposed a novel intersection algorithm based absorption en-ergy simulation methods for thin film solar cells which use a 3-D randomly textured geometry or plasma effects. For the case of pyramidal textured thin film solar cells, Optimizing the de-sign of the surface texture is an essential aspect of the thin film Si solar cells technology as it can maximize the light trapping efficiency of the cells. Thus, the appropriate simulation tools can provide efficient means of designing and analyzing the effects of the texture patterns on light confinement in an active medium. A ray tracing method is a powerful numerical simulation methodol-ogy for this. However, in past researches, a real object intersection method take an O(N2) time complexity and some height map method take an O(N) time complexity. These are time consuming process and inaccurate process, so I developed a novel intersection algorithm with an O(logN) time com-plexity and with keeping the accuracy. Also, an absorption energy calculation algorithm for each layer with a direct method did not exist in the past. To solve the intersection finding problem, I proposed a novel and an efficient 3-D texture intersection algorithm using a modified kd-tree traversal method in Chapter 2. Also, to solve the absorption efficiency calculation problem with ray tracing method, I proposed a new method in Chapter 3. The correctness and efficiency of the algorithms was validated by a measured data and numer-ical simulations. The thickness of the thin film solar cells reach to the nanometer size. The ray tracing method is useless for the nanometer size systems except for a flat surface type. In this case, the FDTD method can be used to solve this nanome-ter scale problems. However, by the past researches, an auto-discretization problem and an absorption efficiency calculation problem were not solved efficiently. In this research, I proposed a robust and an efficient auto-discretization algorithm and an efficient absorption energy calculation algo-rithm with a continuous boundary extraction algorithm in Chapter 4. The correctness and efficiency of the algorithms was validated by an exact solu-tion and numerical simulations. Through this thesis, I proposed an efficient absorption efficiency calcula-tion algorithms for all system ranges of the thin film solar cells.Abstract Publications Table of Contents List of Figures List of Tables List of Algorithms Symbols Abbreviations 1. Introduction 1.1 Motivation 1.2 Thin Film Solar cells 1.2.1 Reduction of Front Surface Reflectance 1.2.2 Enhancement of Back Surface Reflectance 1.2.3 Efficient Light Trapping 1.3 Ray Tracing 1.3.1 Finding Intersection 1.3.1.1 Primitive Object Case 1.3.1.2 CSG Object Case 1.3.2 Acceleration Scheme 1.4 Finite Difference Time Domain (FDTD) 1.4.1 Discretization of the System Domain 1.4.2 Dispersive Materials 1.4.2.1 Lorentz Model 1.4.2.2 Drude Model 1.4.2.3 Drude-Lorentz Model 1.4.3 Boundary Condition 1.4.3.1 Absorbing Boundary Condition (ABC) 1.4.3.2 Periodic Boundary Condition (PBC) 1.5 Scope and Objectives 1.6 Achievements 2. Slab-Outline Algorithm for Fast Intersection Finding 2.1 Overview 2.2 Algorithm 2.2.1 Non-overlapped texture case 2.2.2 Overlapped pyramidal texture case 2.3 Numerical Results : Validation 2.3.1 Examine of Backward Ray Tracing Results 2.3.2 Comparison of Experimental Results 2.3.3 Error Analysis 2.3.4 Time Complexity 2.4 Numerical Analysis : Applications 2.4.1 Simulation 2.4.2 Results and discussion 2.5 Conclusion 3. Simulation with Ray Tracing Method 3.1 Overview 3.2 Algorithm 3.3 Validation 3.3.1 Case I - coherent system 3.3.2 Case II - incoherent system 3.3.3 Case III - coherent + incoherent complex system 3.4 Numerical Analysis : Applications 3.4.1 High-efficiency Grid-type Si Solar Cell Structure 3.4.1.1 Overview 3.4.1.2 Simulation model 3.4.1.3 Results and Discussion 3.4.2 Effect of oxide thin films in back contact on the optical absorption efficiency of thin crystalline Si solar cells 3.4.2.1 Overview 3.4.2.2 Simulation model 3.4.2.3 Results and Discussion 3.5 Conclusion 4. Simulation with FDTD Method 4.1 Overview 4.2 Auto-Discretization of the System Domain 4.2.1 Algorithm 4.2.2 Results of Auto-Discretization 4.3 Implementation of Lorentz Model with ADE 4.4 EffectiveMaterial Function 4.4.1 Round-Off Algorithm 4.4.2 Dispersive Conformal FDTD (D-CFDTD) Algorithm 4.4.3 Validation 4.4.4 Numerical Analysis 4.5 Simulation of Absorption Energy 4.5.1 Algorithm 4.5.1.1 Extract Object's Continuous Boundary 4.5.1.2 Memory allocation and index mapping for the boundary cells 4.5.1.3 Calculation of the absorption energy 4.5.2 Numerical Analysis 4.5.2.1 Flat system 4.5.2.2 Non-Flat system 4.6 Conclusion 5. Conclusion 5.1 Summary 5.2 Evaluation 5.3 Future Work References Appendix I ๊ตญ๋ฌธ์ดˆ๋ก ๊ฐ์‚ฌ์˜ ๊ธ€Docto
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