E-Book, Englisch, Band 11, 434 Seiten
Mastorakis / Sakellaris Advances in Numerical Methods
1. Auflage 2009
ISBN: 978-0-387-76483-2
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, Band 11, 434 Seiten
Reihe: Lecture Notes in Electrical Engineering
ISBN: 978-0-387-76483-2
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
Recent Advances in Numerical Methods features contributions from distinguished researchers, focused on significant aspects of current numerical methods and computational mathematics. The increasing necessity to present new computational methods that can solve complex scientific and engineering problems requires the preparation of this volume with actual new results and innovative methods that provide numerical solutions in effective computing times. Each chapter will present new and advanced methods and modern variations on known techniques that can solve difficult scientific problems efficiently.
Autoren/Hrsg.
Weitere Infos & Material
1;Table of Contents;6
2;Applied mathematics;10
2.1;Chapter 1 Similarity solutions of an MHD boundary-layer flow of a non- Newtonian fluid past a continuous moving surface;11
2.1.1;1.1 Introduction;11
2.1.2;1.2 Existence of infinitely many solutions;15
2.1.3;1.3 Numerical results;20
2.1.4;References;21
2.2;Chapter 2 Computational complexity investigations for high- dimensional model representation algorithms used in multivariate interpolation problems;23
2.2.1;2.1 Introduction;24
2.2.2;2.2 Data partitioning via HDMR;25
2.2.3;2.3 Data partitioning via GHDMR;27
2.2.4;2.4 Interpolation;29
2.2.5;2.5 Factorized HDMR;30
2.2.6;2.6 Hybrid HDMR;31
2.2.7;2.7 Error analysis;32
2.2.8;2.8 Numerical implementations;33
2.2.9;2.9 HDMR-based implementations;34
2.2.10;2.10 GHDMR-based implementations;35
2.2.11;2.11 Concluding remarks;36
2.2.12;References;37
2.3;Chapter 3 On competition between modes of the onset of Marangoni convection with free- slip bottom under magnetic field;38
2.3.1;3.1 Introduction;38
2.3.2;3.2 Problem formulation;39
2.3.3;3.3 Linearized problem;41
2.3.4;3.4 Solution of the linearized problem;42
2.3.5;3.5 Results;44
2.3.6;3.6 Conclusions;47
2.3.7;References;47
2.4;Chapter 4 Mathematical modeling of boundary layer flow over a moving thin needle with variable heat flux;49
2.4.1;4.1 Introduction;50
2.4.2;4.2 Mathematical formulation;51
2.4.3;4.3 Results and discussion;54
2.4.4;4.4 Conclusions;58
2.4.5;References;59
2.5;Chapter 5 The parallel three-processor fifth-order diagonally implicit Runge– Kutta methods for solving ordinary differential equations;61
2.5.1;5.1 Introduction;62
2.5.2;5.2 The Runge–Kutta method;62
2.5.3;5.3 Derivation of fifth-order parallel Runge–Kutta methods for three processors;65
2.5.4;5.4 Numerical experiments;68
2.5.5;5.5 Conclusion;71
2.5.6;References;71
2.6;Chapter 6 Comparative study of production control systems through simulation;73
2.6.1;6.1 Introduction;73
2.6.2;6.2 Production process;74
2.6.3;6.3 Simulation models;76
2.6.4;6.4 Performance measures;79
2.6.5;6.5 Model validation;79
2.6.6;6.6 Results;80
2.6.7;6.7 Conclusion;83
2.6.8;References;83
2.7;Chapter 7 A DEA and goal programming approach to demand assignment problem;85
2.7.1;7.1 Introduction;85
2.7.2;7.2 Literature review;87
2.7.3;7.3 Problem definition and application of the model;88
2.7.4;7.4 Conclusion;91
2.7.5;References;92
2.8;Chapter 8 Space– time mixture model of infant mortality in peninsular Malaysia from 1990 to 2000;93
2.8.1;8.1 Introduction;94
2.8.2;8.2 Methodology;97
2.8.3;8.3 Result;100
2.8.4;8.4 Discussion;101
2.8.5;References;104
2.9;Chapter 9 A novel hybrid high-dimensional model representation ( HDMR) based on the combination of plain and logarithmic high- dimensional model representations;106
2.9.1;9.1 Introduction;107
2.9.2;9.2 HDMR;108
2.9.3;9.3 Logarithmic HDMR;111
2.9.4;9.4 New version of hybrid HDMR;113
2.9.5;9.5 Implementations;114
2.9.6;9.6 Conclusion;115
2.9.7;References;116
2.10;Chapter 10 A decision support system to evaluate the competitiveness of nations;117
2.10.1;10.1 Introduction;118
2.10.2;10.2 Proposed methodology;119
2.10.3;10.3 Ranking countries based on the proposed weighted criteria index;125
2.10.4;10.4 Conclusion and further suggestions;128
2.10.5;References;128
2.11;Chapter 11 Numerical analysis for kinetics and yield of wood biomass pyrolysis;130
2.11.1;11.1 Introduction;131
2.11.2;11.2 Problem formulation;131
2.11.3;11.3 Results;134
2.11.4;11.4 Conclusions;139
2.11.5;References;139
2.12;Chapter 12 Maintenance of the pre-large trees for record deletion;140
2.12.1;12.1 Introduction;141
2.12.2;12.2 Review of related works;142
2.12.3;12.3 The proposed deletion algorithm;143
2.12.4;12.4 An example;146
2.12.5;12.5 Experiments;149
2.12.6;12.6 Conclusion;150
2.12.7;References;151
2.13;Chapter 13 ALE method in the EFG crystal growth technique;152
2.13.1;13.1 Introduction;153
2.13.2;13.2 ALE kinematics description;154
2.13.3;13.3 Mathematical description;156
2.13.4;13.4 Numerical results;159
2.13.5;13.5 Conclusions;161
2.13.6;References;162
2.14;Chapter 14 Application of e-learning methods in the curricula of the faculty of computer science;163
2.14.1;14.1 Introduction;164
2.14.2;14.2 Format of lecture materials;166
2.14.3;14.3 Help in creating virtual community;166
2.14.4;14.4 Internet-based system for online studies management;167
2.14.5;14.5 Analysis of using the EDU system;170
2.14.6;14.6 Significance of the new form of studies for the Institute as a whole;171
2.14.7;14.7 Using online methods for stationary courses;171
2.14.8;14.8 Conclusions;172
2.14.9;14.9 UNDP project;172
2.14.10;References;173
2.15;Chapter 15 Hierarchical Bayesian approach for ranking of accident blackspots with reference to cost of accidents;174
2.15.1;15.1 Introduction;175
2.15.2;15.2 Data;175
2.15.3;15.3 Cost ratio of fatal to serious injury accident;176
2.15.4;15.4 The hierarchical Bayesian model;176
2.15.5;15.5 Discussion of results;178
2.15.6;15.6 Conclusions;178
2.15.7;References;180
3;Circuits, systems, electronics, control and signal processing;181
3.1;Chapter 16 Impulsive noise removal image ehancement technique;182
3.1.1;16.1 Introduction;182
3.1.2;16.2 Proposed scheme;184
3.1.3;16.3 Adaptive threshold selection;187
3.1.4;16.4 Simulation results;189
3.1.5;16.5 Conclusions;191
3.1.6;References;192
3.2;Chapter 17 Similarity- based model for transliteration;194
3.2.1;17.1 Introduction;195
3.2.2;17.2 The proposed English–Arabic proper noun transliteration pairs creation approach;196
3.2.3;17.3 Experimental results;199
3.2.4;17.4 Conclusions;204
3.2.5;References;205
3.3;Chapter 18 Heart rate variation adaptive filtering based on a special model;206
3.3.1;18.1 Introduction;206
3.3.2;18.2 HF HRV signal analysis;207
3.3.3;18.3 Conventional adaptive filtering;208
3.3.4;18.4 The proposed model;209
3.3.5;18.5 Simulations;211
3.3.6;18.6 Conclusion;216
3.3.7;References;217
3.4;Chapter 19 Performance evaluation of table-driven and buffer- adaptive WLANs;218
3.4.1;19.1 Introduction;218
3.4.2;19.2 The IEEE 802.11 MAC protocol;219
3.4.3;19.3 System analysis for the ideal standard case without backoff;221
3.4.4;19.4 Table-driven WLANs;223
3.4.5;19.5 Buffer-adaptive WLANs;225
3.4.6;19.6 Simulation results;225
3.4.7;19.7 Conclusion;233
3.4.8;References;234
3.5;Chapter 20 A new algorithm in blind source separation for high- dimensional data sets such as MEG data;235
3.5.1;20.1 Introduction;236
3.5.2;20.2 Multidimensional independent components;237
3.5.3;20.3 Detection of multidimensional independent components;238
3.5.4;20.4 Proposed algorithm;240
3.5.5;20.5 Separation via proposed algorithm;241
3.5.6;20.6 Conclusions;245
3.5.7;References;245
3.6;Chapter 21 Visible light source temperature estimation using digital camera photography;247
3.6.1;21.1 Introduction;248
3.6.2;21.2 Camera characteristics;248
3.6.3;21.3 Source image acquisition;250
3.6.4;21.4 Image processing;252
3.6.5;21.5 Results and conclusion;255
3.6.6;References;256
3.7;Chapter 22 Discrete decentralized observation of large-scale interconnected systems;257
3.7.1;22.1 Introduction;257
3.7.2;22.2 Problem formulation;258
3.7.3;22.3 An algorithm for discrete decentralized observation;264
3.7.4;22.4 Illustrative example;266
3.7.5;22.5 Conclusion;268
3.7.6;References;268
3.8;Chapter 23 Improved iterative blind image deconvolution;269
3.8.1;23.1 Introduction;269
3.8.2;23.2 Blur model;270
3.8.3;23.3 Review of IBD;271
3.8.4;23.4 Proposed improvement;272
3.8.5;23.5 Simulation results;274
3.8.6;23.6 Conclusions;275
3.8.7;References;275
3.9;Chapter 24 Design of a linear quadratic Gaussian controller for a manufacturing process;277
3.9.1;24.1 Introduction;277
3.9.2;24.2 Principles of design;279
3.9.3;24.3 The controller structure;280
3.9.4;24.4 Conclusions;284
3.9.5;References;285
3.10;Chapter 25 3D reconstruction and isometric representation of engineering drawings;287
3.10.1;25.1 Introduction;287
3.10.2;25.2 3D Reconstruction and isometric representations;289
3.10.3;25.3 Comparison between SVG and DXF;290
3.10.4;25.4 Summary;293
3.10.5;25.5 Future recommendations;293
3.10.6;References;294
3.11;Chapter 26 Implementation of the box-counting method in radiographic images;296
3.11.1;26.1 Introduction;296
3.11.2;26.2 The dimension and fractals;297
3.11.3;26.3 The box-counting method;300
3.11.4;26.4 The range of box sizes;304
3.11.5;26.5 Choice of box sizes;305
3.11.6;26.6 Determination of breakpoint in the log–log plot;306
3.11.7;26.7 Conclusion;307
3.11.8;References;308
3.12;Chapter 27 Aeroelastic simulation of wind turbine blades;309
3.12.1;27.1 Introduction;309
3.12.2;27.2 Calculation of bending frequencies;310
3.12.3;27.3 Resolution of the flapwise motion equation;311
3.12.4;27.4 Equation of coupled movement;317
3.12.5;27.5 Conclusion;318
3.12.6;References;318
3.13;Chapter 28 Time- delay telerobot system control model research;320
3.13.1;28.1 Introduction;321
3.13.2;28.2 Control model;321
3.13.3;28.3 Simulation;327
3.13.4;28.4 Conclusion;329
3.13.5;References;329
3.14;Chapter 29 Hardware implementation of a multidimensional signal analysis system;330
3.14.1;29.1 Introduction;330
3.14.2;29.2 Overview of the implemented architecture;332
3.14.3;29.3 FPGA implementation approach;334
3.14.4;29.4 Testing and verification;338
3.14.5;29.5 Conclusion;340
3.14.6;References;340
3.15;Chapter 30 Space- filling fractal microstrip antenna;342
3.15.1;30.1 Introduction;342
3.15.2;30.2 Initiator of Koch and pulse 2.45 antenna;343
3.15.3;30.3 Koch microstrip patch antenna;345
3.15.4;30.4 Pulse 2.45 antenna iterations;354
3.15.5;30.5 The second iteration of pulse 2.45 antenna modification;357
3.15.6;30.6 Experimental results;359
3.15.7;30.7 Conclusion;361
3.15.8;References;361
3.16;Chapter 31 Reliability assessment and improvement of medium power induction motor winding insulation protection system using predictive analysis;362
3.16.1;31.1 Introduction;362
3.16.2;31.2 Induction motor stator winding failure mechanisms;363
3.16.3;31.3 Failure probability quantification;365
3.16.4;31.4 Fault tree analysis (FTA) of stator insulation failure;365
3.16.5;31.5 Protection system description;366
3.16.6;31.6 Event tree analysis (ETA);367
3.16.7;31.7 Protection system improvement;369
3.16.8;31.8 Conclusion;371
3.16.9;Appendix;371
3.16.10;References;373
3.17;Chapter 32 Feature extraction by wavelet transforms to analyze the heart rate variability during two meditation techniques;374
3.17.1;32.1 Introduction;374
3.17.2;32.2 Methods;376
3.17.3;32.3 Justification and purpose of the study;376
3.17.4;32.4 Feature extraction;377
3.17.5;32.5 Results and discussion;379
3.17.6;32.6 Conclusion;381
3.17.7;References;382
3.18;Chapter 33 Fractional mechanical model for the dynamics of non- local continuum;383
3.18.1;33.1 Introduction;383
3.18.2;33.2 Basics on fractional calculus;384
3.18.3;33.3 Fractional model of integral non-local elasticity;391
3.18.4;33.4 Elastic bar with long-range interactions: Unbounded domain;394
3.18.5;33.5 Analysis of finite domain with long-range interactions;398
3.18.6;33.6 The mechanical equivalent model of non-local bar;402
3.18.7;33.7 Dynamics of the non-local fractional model;405
3.18.8;33.8 Numerical applications;407
3.18.9;33.9 Conclusions;412
3.18.10;Appendix: Properties of fractional operators;413
3.18.11;References;415
3.19;Chapter 34 Fuzzy control for shape memory alloy tendon-actuated robotic structure;418
3.19.1;34.1 Introduction;419
3.19.2;34.2 Fuzzy logic control;419
3.19.3;34.4 Dynamics of two-link tendon-driven robotic structure;422
3.19.4;34.5 Shape memory actuator structure;423
3.19.5;34.6 Fuzzy control applied to shape memory alloy serial-link robotic structure;426
3.19.6;34.7 Conclusion;430
3.19.7;References;431
3.20;Chapter 35 Implementing delayed file loading functions;432
3.20.1;35.1 Introduction;432
3.20.2;35.2 Problem formulation;433
3.20.3;35.3 Class implementation;436
3.20.4;35.4 Conclusion;437
3.20.5;References;437
4;Author Index;438
5;Subject Index;440




