Note: Cover -- Copyright -- Dedication -- Contents -- Author's Note -- Acknowledgements -- Preface -- PART ONE - Why do things happen the way they do? -- A How long is a piece of string? -- B The laws of Physics -- Gravity -- Salt mountain -- Black and White: Hot and Cold -- Spectrum -- Round the Bend -- Π (pi) -- The Tangent and the Chord -- The Speed of Light -- Eclipses -- Quartz Crystals -- Undiscovered Laws -- Summary -- C Evidence and how to assess it -- PART TWO - The Questions -- Introduction - Answerable and Unanswerable Questions -- Question 1: How did the Universe begin? -- 1 - The Arose on its own option -- 2 - The Always Existed Option -- 3 -The Creator Option -- Answer -- Question 2 - Are there other Universes? -- Answer -- Question 3 - How did life begin? -- 1 - The 'On its Own' option -- 2 - The Creator Option -- Answer -- Question 4 - How old are the Earth and the Universe? -- The Biblical Option versus the Scientific Option -- Answer -- Question 5 - Do UFOs exist? -- Where are they from? -- Why is there no Physical Evidence? -- Answer -- Question 6 - Have Alien Astronauts visited Earth? -- Answer -- Question 7 - Alien Encounters: True o False? -- George Adamski -- Betty and Barney Hill -- Answer -- Question 8 - Is there Extra-Terrestrial Intelligent Life? -- Communication with Extra-Terrestrial Civilisations -- The Probability of Extra-Terrestrial Life -- Extra-Terrestrial Life did Exist But is now Extinct -- Answer -- Question 9 - Could we travel to other Galaxies? -- Travel at Faster than Light Speeds -- Travel through Worm Holes in Space -- Answer -- Question 10 - Is Time Travel Possible? -- Travelling Back in Time -- Travelling Forward in Time -- Answer -- Question 11 - Does Astrology Work? -- Horoscopes -- Answer -- Question 12 - Do coincidences mean anything? -- The Birthday Surprise -- Dreams that Come True. , The Wreck of the Titan -- Chance Meetings -- Laura Buxton's Balloon -- The Meissen Plate -- Total Eclipse of the Sun -- Answer -- Question 13 - Does Prayer Work? -- Answer -- Question 14 - Could we Live Forever? -- Answer -- Question 15 - What Happens when we Die? -- Nothing -- Something -- Question 16 - Is there a Creator? -- Religions -- Christianity -- Islam -- Hinduism -- Atheism -- Chinese Traditional (Folk) -- Buddhism -- Sikhism -- Judaism -- The Creation of the Universe -- The Creation of Life -- To Act Upon Prayers -- Some Difficult Questions -- Answer -- Question 17 - How and When will the World End? -- Man-Made Scenarios -- Natural Scenarios -- Gamma Ray Burst -- Other Natural Events -- The Death of The Sun -- The Big Crunch -- The Expanding Universe -- The Death of the Universe -- Answer -- Question 18 - Will We Ever know Everything? -- Eyes that are Sensitive to the Entire Electromagnetic Spectrum -- Eyes with Zoom Lenses -- Photographic Memory -- The Ability to Biosynthesise Vitamins -- Immunity to Infectious Diseases -- Answer -- And Finally... -- INDEX -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X, Y, Z.

Note: Front Cover -- Contents -- Introduction -- Contributors -- Chapter 1: First Principles DFT Studies of Metal-Based Biological and Biomimetic Systems -- Chapter 2: Structural and Thermodynamic Studies of α-Synuclein Proteins Related to Parkinson's Disease: Impact of Aqueous Solution and Fe3+ Coordination -- Chapter 3: Carbohydrate and Trivalent Iron Ion Interactions in the Gas Phase and in Aqueous Solution -- Chapter 4: Aqueous Solutions of Metal Ions -- Chapter 5: Structure of Liquid Metal Surfaces: A First Principles Perspective -- Chapter 6: Some Practical Considerations for Density Functional Theory Studies of Chemistry at Metal Surfaces -- Chapter 7: Computational Investigations of Metal Oxide Surfaces -- Chapter 8: Tight Binding Methods for Metallic Systems -- Chapter 9: Density Functional Calculations of Metal Clusters: Structure, Dynamics, and Reactivity -- Chapter 10: Density Functional Theory Calculations on Cobalt and Platinum Transition Metal Clusters -- Chapter 11: Exploring the Borderland between Physics and Chemistry: Theoretical Methods in the Study of Atomic Clusters -- Back Cover.

Note: Front Cover -- Micro & -- Nano Technologies Series -- Micromixers: Fundamentals, Design and Fabrication -- Copyright -- Contents -- Preface for the second edition -- Symbols -- Chapter 1 - Introduction -- 1.1 Micromixers and Mixing in Microscale -- 1.2 Micromixers as Microreactors -- 1.3 Organization of the Book -- References -- Chapter 2 - Fundamentals of mass transport in the microscale -- 2.1 Transport Phenomena -- 2.2 Molecular Diffusion -- 2.3 Taylor Dispersion -- 2.4 Chaotic Advection -- 2.5 Viscoelastic effects -- 2.6 Electrokinetic Effects -- 2.7 Magnetic and Electromagnetic Effects -- 2.8 Scaling Law and Fluid Flow in Microscale -- References -- Chapter 3 - Computational transport processes for micromixers∗ -- 3.1 Introduction -- 3.2 Problem Description -- 3.3 Mathematical Formulation -- 3.4 Solution Procedure -- 3.5 Verifications and Validations -- 3.6 Examples -- 3.7 Concluding Remarks -- References -- Chapter 4 - Fabrication technologies -- 4.1 Silicon-Based Microtechnologies -- 4.2 Polymeric Microtechnologies -- 4.3 Metallic Microtechnologies -- 4.4 Packaging -- 4.5 Conclusions -- References -- Chapter 5 - Micromixers based on molecular diffusion -- 5.1 Parallel Lamination -- 5.2 Sequential Lamination -- 5.3 Sequential Segmentation -- 5.4 Segmentation Based on Injection -- 5.5 Focusing of Mixing Streams -- 5.6 Gradient Generator Based on Diffusive Mixing -- References -- Chapter 6 - Micromixers based on chaotic advection -- 6.1 Chaotic Advection at High Reynolds Numbers -- 6.2 Chaotic Advection at Intermediate Reynolds Numbers -- 6.3 Chaotic Advection at Low Reynolds Numbers -- 6.4 Chaotic Advection in Multiphase Flow -- References -- Chapter 7 - Active micromixers -- 7.1 Flow Instability in Microchannels -- 7.2 Pressure-driven Disturbance -- 7.3 Electrohydrodynamic Disturbance -- 7.4 Dielectrophoretic Disturbance. , 7.5 Electrokinetic Disturbance -- 7.6 Magnetohydrodynamic Disturbance -- 7.7 Acoustic Disturbance -- 7.8 Thermal Disturbance -- References -- Chapter 8 - Characterization techniques -- 8.1 Imaging Techniques -- 8.2 Measurement Using Optical Microscopy -- 8.3 Quantification Methods for Micromixers -- References -- Chapter 9 - Application of micromixers -- 9.1 Chemical Industry -- 9.2 Applications in Chemical and Biochemical Analysis -- 9.3 Outlook -- References -- Index.

Note: Front Cover -- Contents -- List of Figures -- List of Tables -- Preface -- About the Editors -- List of Contributors -- Nomenclature -- Chapter 1. Introduction -- Chapter 2. System Modeling and Identification -- Chapter 3. Basic Approach to High-Speed Precision Motion Control -- Chapter 4. Ultra-Fast Motion Control -- Chapter 5. Ultra-Precise Position Control -- Chapter 6. Control Design for Consumer Electronics -- Chapter 7. HDD Benchmark Problem -- Back Cover.

Note: The Duffing Equation: Nonlinear Oscillators and their Behaviour -- Contents -- Contributors -- Preface -- 1 Background: On Georg Duffing and the Duffing equation -- 1.1 Introduction -- 1.2 Historical perspective -- 1.3 A brief biography of Georg Duffing -- 1.4 The work of Georg Duffing -- 1.5 Contents of Duffing's book -- 1.5.1 Description of Duffing's book -- 1.5.2 Reviews of Duffing's book -- 1.6 Research inspired by Duffing's work -- 1.6.1 1918-1952 -- 1.6.2 1962 to the present day -- 1.7 Some other books on nonlinear dynamics -- 1.8 Overview of this book -- References -- 2 Examples of physical systems described by the Duffing equation -- 2.1 Introduction -- 2.2 Nonlinear stiffness -- 2.3 The pendulum -- 2.4 Example of geometrical nonlinearity -- 2.5 A system consisting of the pendulum and nonlinear stiffness -- 2.6 Snap-through mechanism -- 2.7 Nonlinear isolator -- 2.7.1 Quasi-zero stiffness isolator -- 2.8 Large deflection of a beam with nonlinear stiffness -- 2.9 Beam with nonlinear stiffness due to inplane tension -- 2.10 Nonlinear cable vibrations -- 2.11 Nonlinear electrical circuit -- 2.11.1 The electrical circuit studied by Ueda -- 2.12 Summary -- References -- 3 Free vibration of a Duffing oscillator with viscous damping -- 3.1 Introduction -- 3.2 Fixed points and their stability -- 3.2.1 Case when the nontrivial fixed points do not exist (αγ > -- 0) -- 3.2.2 Case when the nontrivial fixed points exist (αγ < -- 0) -- 3.2.3 Variation of phase portraits depending on linear stiffness and linear damping -- 3.3 Local bifurcation analysis -- 3.3.1 Bifurcation from trivial fixed points -- 3.3.2 Bifurcation from nontrivial fixed points -- 3.4 Global analysis for softening nonlinear stiffness (γ < -- 0) -- 3.4.1 Phase portraits -- 3.4.2 Global bifurcation analysis -- 3.5 Global analysis for hardening nonlinear stiffness (γ > -- 0). , 3.5.1 Phase portraits -- 3.5.2 Global bifurcation analysis -- 3.6 Summary -- Acknowledgments -- References -- 4 Analysis techniques for the various forms of the Duffing equation -- 4.1 Introduction -- 4.2 Exact solution for free oscillations of the Duffing equation with cubic nonlinearity -- 4.2.1 The frequency and period of free oscillations of the Duffing oscillator -- 4.2.2 Discussion -- 4.3 The elliptic harmonic balance method -- 4.3.1 The Duffing equation with a strong quadratic term -- 4.3.2 The Duffing equation with damping -- 4.3.3 The harmonically excited Duffing oscillator -- 4.3.4 The harmonically excited pure cubic Duffing equation -- 4.4 The elliptic Galerkin method -- 4.4.1 Duffing oscillator with a strong excitation force of elliptic type -- 4.5 The straightforward expansion method -- 4.5.1 The Duffing equation with a small quadratic term -- 4.6 The elliptic Lindstedt-Poincaré method -- 4.6.1 The Duffing equation with a small quadratic term -- 4.7 Averaging methods -- 4.7.1 The generalised elliptic averaging method -- 4.7.2 Elliptic Krylov-Bogolubov (EKB) method for the pure cubic Duffing oscillator -- 4.8 Elliptic homotopy methods -- 4.8.1 The elliptic homotopy perturbation method -- 4.8.2 The elliptic homotopy analysis method -- 4.9 Summary -- References -- Appendix 4AI: Jacobi elliptic functions and elliptic integrals -- Appendix 4AII: The best L2 norm approximation -- 5 Forced harmonic vibration of a Duffing oscillator with linear viscous damping -- 5.1 Introduction -- 5.2 Free and forced responses of the linear oscillator -- 5.2.1 Free oscillations and timescales -- 5.2.2 Forced oscillations -- 5.3 Amplitude and phase responses of the Duffing oscillator -- 5.3.1 Primary resonance -- 5.3.2 Secondary resonances -- 5.4 Periodic solutions, Poincaré sections, and bifurcations -- 5.4.1 Periodic solutions. , 5.4.2 Poincaré section and Poincaré map -- 5.4.3 The Ueda oscillator -- 5.4.4 Bifurcations and chaos in the Duffing oscillator with a softening spring -- 5.5 Global dynamics -- 5.6 Summary -- References -- 6 Forced harmonic vibration of a Duffing oscillator with different damping mechanisms -- 6.1 Introduction -- 6.2 Classification of nonlinear characteristics -- 6.2.1 Stiffness force -- 6.2.2 Damping force -- 6.2.3 Equivalent viscous damping -- 6.3 Harmonically excited Duffing oscillator with generalised damping -- 6.4 Viscous damping -- 6.4.1 Harmonic solution for a hardening system -- 6.4.2 Harmonic solution for a softening system -- 6.4.3 Superharmonic and subharmonic response -- 6.4.4 Chaotic and other types of responses -- 6.4.5 Experimental and numerical results -- 6.5 Nonlinear damping in a hardening system -- 6.5.1 Harmonic solution -- 6.5.2 Stability analysis -- 6.5.3 Chaotic motion -- 6.5.4 Coulomb damping -- 6.6 Nonlinear damping in a softening system -- 6.7 Nonlinear damping in a double-well potential oscillator -- 6.8 Summary -- Acknowledgments -- References -- 7 Forced harmonic vibration in a Duffing oscillator with negative linear stiffness and linear viscous damping -- 7.1 Introduction -- 7.2 Literature survey -- 7.2.1 Former numerical studies and approximate criteria for chaos -- 7.2.2 Refined computational investigations -- 7.2.3 Control of nonlinear dynamics -- 7.3 Dynamics of conservative and nonconservative systems -- 7.3.1 The conservative case -- 7.3.2 The effect of damping -- 7.3.3 The effect of the excitation -- 7.4 Nonlinear periodic oscillations -- 7.5 Transition to complex response -- 7.5.1 Bifurcation diagrams, behaviour chart and basins of attraction -- 7.5.2 Analytical prediction via the Melnikov method -- 7.6 Nonclassical analyses -- 7.6.1 Control of homoclinic bifurcation -- 7.6.2 Dynamical integrity -- 7.7 Summary. , References -- 8 Forced harmonic vibration of an asymmetric Duffing oscillator -- 8.1 Introduction -- 8.2 Models of the systems under consideration -- 8.3 Regular response of the pure cubic oscillator -- 8.3.1 Primary resonance: transient solution -- 8.3.2 Primary resonance: steady-state solution -- 8.3.3 Some secondary resonance responses -- 8.4 Regular response of the single-well Helmholtz-Duffing oscillator -- 8.4.1 Primary resonance response via perturbation method -- 8.4.2 Frequency-response curves -- 8.4.3 Analysis of the steady-state response: coexisting attractors -- 8.4.4 Some secondary resonance responses -- 8.5 Chaotic response of the pure cubic oscillator -- 8.5.1 A cascade of period-doubling bifurcations as a route to chaos: analytical considerations -- 8.5.2 A cascade of period-doubling bifurcations: numerical simulations -- 8.6 Chaotic response of the single-well Helmholtz-Duffing oscillator -- 8.6.1 Routes to chaos -- 8.7 Summary -- References -- Appendix: Translation of sections from Duffing's original book -- Glossary -- Index.

Note: APPLIED INTELLIGENT CONTROL OF INDUCTION MOTOR DRIVES -- Contents -- Preface -- Acknowledgments -- About the Authors -- List of Symbols -- 1 Introduction -- 1.1 Induction Motor -- 1.2 Induction Motor Control -- 1.3 Review of Previous Work -- 1.3.1 Scalar Control -- 1.3.2 Vector Control -- 1.3.3 Speed Sensorless Control -- 1.3.4 Intelligent Control of Induction Motor -- 1.3.5 Application Status and Research Trends of Induction Motor Control -- 1.4 Present Study -- References -- 2 Philosophy of Induction Motor Control -- 2.1 Introduction -- 2.2 Induction Motor Control Theory -- 2.2.1 Nonlinear Feedback Control -- 2.2.2 Induction Motor Models -- 2.2.3 Field-Oriented Control -- 2.2.4 Direct Self Control -- 2.2.5 Acceleration Control Proposed -- 2.2.6 Need for Intelligent Control -- 2.2.7 Intelligent Induction Motor Control Schemes -- 2.3 Induction Motor Control Algorithms -- 2.4 Speed Estimation Algorithms -- 2.5 Hardware -- References -- 3 Modeling and Simulation of Induction Motor -- 3.1 Introduction -- 3.2 Modeling of Induction Motor -- 3.3 Current-Input Model of Induction Motor -- 3.3.1 Current (3/2) Rotating Transformation Sub-Model -- 3.3.2 Electrical Sub-Model -- 3.3.3 Mechanical Sub-Model -- 3.3.4 Simulation of Current-Input Model of Induction Motor -- 3.4 Voltage-Input Model of Induction Motor -- 3.4.1 Simulation Results of 'Motor 1' -- 3.4.2 Simulation Results of 'Motor 2' -- 3.4.3 Simulation Results of 'Motor 3' -- 3.5 Discrete-State Model of Induction Motor -- 3.6 Modeling and Simulation of Sinusoidal PWM -- 3.7 Modeling and Simulation of Encoder -- 3.8 Modeling of Decoder -- 3.9 Simulation of Induction Motor with PWM Inverter and Encoder/Decoder -- 3.10 MATLAB® /Simulink Programming Examples -- 3.11 Summary -- References -- 4 Fundamentals of Intelligent Control Simulation -- 4.1 Introduction. , 4.2 Getting Started with Fuzzy Logic Simulation -- 4.2.1 Fuzzy Logic Control -- 4.2.2 Example: Fuzzy PI Controller -- 4.3 Getting Started with Neural-Network Simulation -- 4.3.1 Artificial Neural Network -- 4.3.2 Example: Implementing Park's Transformation Using ANN -- 4.4 Getting Started with Kalman Filter Simulation -- 4.4.1 Kalman Filter -- 4.4.2 Example: Signal Estimation in the Presence of Noise by Kalman Filter -- 4.5 Getting Started with Genetic Algorithm Simulation -- 4.5.1 Genetic Algorithm -- 4.5.2 Example: Optimizing a Simulink Model by Genetic Algorithm -- 4.6 Summary -- References -- 5 Expert-System-based Acceleration Control -- 5.1 Introduction -- 5.2 Relationship between the Stator Voltage Vector and Rotor Acceleration -- 5.3 Analysis of Motor Acceleration of the Rotor -- 5.4 Control Strategy of Voltage Vector Comparison and Voltage Vector Retaining -- 5.5 Expert-System Control for Induction Motor -- 5.6 Computer Simulation and Comparison -- 5.6.1 The First Simulation Example -- 5.6.2 The Second Simulation Example -- 5.6.3 The Third Simulation Example -- 5.6.4 The Fourth Simulation Example -- 5.6.5 The Fifth Simulation Example -- 5.7 Summary -- References -- 6 Hybrid Fuzzy/PI Two-Stage Control -- 6.1 Introduction -- 6.2 Two-Stage Control Strategy for an Induction Motor -- 6.3 Fuzzy Frequency Control -- 6.3.1 Fuzzy Database -- 6.3.2 Fuzzy Rulebase -- 6.3.3 Fuzzy Inference -- 6.3.4 Defuzzification -- 6.3.5 Fuzzy Frequency Controller -- 6.4 Current Magnitude PI Control -- 6.5 Hybrid Fuzzy/PI Two-Stage Controller for an Induction Motor -- 6.6 Simulation Study on a 7.5 kW Induction Motor -- 6.6.1 Comparison with Field-Oriented Control -- 6.6.2 Effects of Parameter Variation -- 6.6.3 Effects of Noise in the Measured Speed and Input Current -- 6.6.4 Effects of Magnetic Saturation -- 6.6.5 Effects of Load Torque Variation. , 6.7 Simulation Study on a 0.147 kW Induction Motor -- 6.8 MATLAB® /Simulink Programming Examples -- 6.8.1 Programming Example 1: Voltage-Input Model of an Induction Motor -- 6.8.2 Programming Example 2: Fuzzy/PI Two-Stage Controller -- 6.9 Summary -- References -- 7 Neural-Network-based Direct Self Control -- 7.1 Introduction -- 7.2 Neural Networks -- 7.3 Neural-Network Controller of DSC -- 7.3.1 Flux Estimation Sub-Net -- 7.3.2 Torque Calculation Sub-Net -- 7.3.3 Flux Angle Encoder and Flux Magnitude Calculation Sub-Net -- 7.3.4 Hysteresis Comparator Sub-Net -- 7.3.5 Optimum Switching Table Sub-Net -- 7.3.6 Linking of Neural Networks -- 7.4 Simulation of Neural-Network-based DSC -- 7.5 MATLAB® /Simulink Programming Examples -- 7.5.1 Programming Example 1: Direct Self Controller -- 7.5.2 Programming Example 2: Neural-Network-based OptimumSwitching Table -- 7.6 Summary -- References -- 8 Parameter Estimation Using Neural Networks -- 8.1 Introduction -- 8.2 Integral Equations Based on the 'T' Equivalent Circuit -- 8.3 Integral Equations based on the 'Γ' Equivalent Circuit -- 8.4 Parameter Estimation of Induction Motor Using ANN -- 8.4.1 Estimation of Electrical Parameters -- 8.4.2 ANN-based Mechanical Model -- 8.4.3 Simulation Studies -- 8.5 ANN-based Induction Motor Models -- 8.6 Effect of Noise in Training Data on Estimated Parameters -- 8.7 Estimation of Load, Flux and Speed -- 8.7.1 Estimation of Load -- 8.7.2 Estimation of Stator Flux -- 8.7.3 Estimation of Rotor Speed -- 8.8 MATLAB® /Simulink Programming Examples -- 8.8.1 Programming Example 1: Field-Oriented Control (FOC) System -- 8.8.2 Programming Example 2: Sensorless Control of Induction Motor -- 8.9 Summary -- References -- 9 GA-Optimized Extended Kalman Filter for Speed Estimation -- 9.1 Introduction -- 9.2 Extended State Model of Induction Motor. , 9.3 Extended Kalman Filter Algorithm for Rotor Speed Estimation -- 9.3.1 Prediction of State -- 9.3.2 Estimation of Error Covariance Matrix -- 9.3.3 Computation of Kalman Filter Gain -- 9.3.4 State Estimation -- 9.3.5 Update of the Error Covariance Matrix -- 9.4 Optimized Extended Kalman Filter -- 9.5 Optimizing the Noise Matrices of EKF Using GA -- 9.6 Speed Estimation for a Sensorless Direct Self Controller -- 9.7 Speed Estimation for a Field-Oriented Controller -- 9.8 MATLAB® /Simulink Programming Examples -- 9.8.1 Programming Example 1: Voltage-Frequency Controlled (VFC) Drive -- 9.8.2 Programming Example 2: GA-Optimized EKF for Speed Estimation -- 9.8.3 Programming Example 3: GA-based EKF Sensorless Voltage-Frequency Controlled Drive -- 9.8.4 Programming Example 4: GA-based EKF Sensorless FOC Induction Motor Drive -- 9.9 Summary -- References -- 10 Optimized Random PWM Strategies Based on Genetic Algorithms -- 10.1 Introduction -- 10.2 PWM Performance Evaluation -- 10.2.1 Fourier Analysis of PWM Waveform -- 10.2.2 Harmonic Evaluation of Typical Waveforms -- 10.3 Random PWM Methods -- 10.3.1 Random Carrier-Frequency PWM -- 10.3.2 Random Pulse-Position PWM -- 10.3.3 Random Pulse-Width PWM -- 10.3.4 Hybrid Random Pulse-Position and Pulse-Width PWM -- 10.3.5 Harmonic Evaluation Results -- 10.4 Optimized Random PWM Based on Genetic Algorithm -- 10.4.1 GA-Optimized Random Carrier-Frequency PWM -- 10.4.2 GA-Optimized Random-Pulse-Position PWM -- 10.4.3 GA-Optimized Random-Pulse-Width PWM -- 10.4.4 GA-Optimized Hybrid Random Pulse-Position and Pulse-Width PWM -- 10.4.5 Evaluation of Various GA-Optimized Random PWM Inverters -- 10.4.6 Switching Loss of GA-Optimized Random Single-Phase PWM Inverters -- 10.4.7 Linear Modulation Range of GA-Optimized Random Single-Phase PWM Inverters -- 10.4.8 Implementation of GA-Optimized Random Single-Phase PWM Inverter. , 10.4.9 Limitations of Reference Sinusoidal Frequency of GA-Optimized Random PWM Inverters -- 10.5 MATLAB® /Simulink Programming Examples -- 10.5.1 Programming Example 1: A Single-Phase Sinusoidal PWM -- 10.5.2 Programming Example 2: Evaluation of a Four-Pulse Wave -- 10.5.3 Programming Example 3: Random Carrier-Frequency PWM -- 10.6 Experiments on Various PWM Strategies -- 10.6.1 Implementation of PWM Methods Using DSP -- 10.6.2 Experimental Results -- 10.7 Summary -- References -- 11 Experimental Investigations -- 11.1 Introduction -- 11.2 Experimental Hardware Design for Induction Motor Control -- 11.2.1 Hardware Description -- 11.3 Software Development Method -- 11.4 Experiment 1: Determination of Motor Parameters -- 11.5 Experiment 2: Induction Motor Run Up -- 11.5.1 Program Design -- 11.5.2 Program Debug -- 11.5.3 Experimental Investigations -- 11.6 Experiment 3: Implementation of Fuzzy/PI Two-Stage Controller -- 11.6.1 Program Design -- 11.6.2 Program Debug -- 11.6.3 Performance Tests -- 11.7 Experiment 4: Speed Estimation Using a GA-Optimized Extended Kalman Filter -- 11.7.1 Program Design -- 11.7.2 GA-EKF Experimental Method -- 11.7.3 GA-EKF Experiments -- 11.7.4 Limitations of GA-EKF -- 11.8 DSP Programming Examples -- 11.8.1 Generation of 3-Phase Sinusoidal PWM -- 11.8.2 RTDX Programming -- 11.8.3 ADC Programming -- 11.8.4 CAP Programming -- 11.9 Summary -- References -- 12 Conclusions and Future Developments -- 12.1 Main Contributions of the Book -- 12.2 Industrial Application of New Induction Motor Drives -- 12.3 Future Developments -- 12.3.1 Expert-System-based Acceleration Control -- 12.3.2 Hybrid Fuzzy/PI Two-Stage Control -- 12.3.3 Neural-Network-based Direct Self Control -- 12.3.4 Genetic Algorithm for an Extended Kalman Filter -- 12.3.5 Parameter Estimation Using Neural Networks. , 12.3.6 Optimized Random PWM Strategies Based on Genetic Algorithms.

Note: Intro -- Comforting Touch in Dementia and End of Life Care: Take My Hand -- Acknowledgments -- A Sense of Connection -- 1. Your Radiant Sea -- 2. Sharing the Benefits of Touch -- 3. The Body as Particles and Waves -- 4. A Tangible Spirit -- Focusing Your Touch -- 5. Physical and Energetic Qualities of the Hand -- 6. Before You Begin: Observing Best Practices -- 7. Elements of a Session -- 8. A Hand Massage Sequence -- 9. At a Glance: The Sequence and Reminders -- The Reality of Practicing -- 10. Ten Challenges to Sharing Touch -- 11. Adapting for Different Needs -- 12. Comforting Touch in End of Life Care -- Resources -- References -- Index.

Note: Front Cover -- Contents -- About the Author -- Introduction -- CHAPTER 1: The evolution of the idea of sustainable development in history -- CHAPTER 2: Theoretical basis for sustainable development -- CHAPTER 3: Philosophy, religion and environmental education -- CHAPTER 4: Level II of sustainable development: Ecological, social, and economic considerations -- CHAPTER 5: Level III of sustainable development: Technical, legal and political considerations -- CHAPTER 6: Integration of planes, the phenomenon of globalization and the Sustainable Development Revolution -- Conclusions -- References -- Back Cover.

Note: Front Cover -- Contents -- Preface -- Chapter 1: Introduction -- Chapter 2: Concept of Floating Body Cell and Its Operational Principle -- Chapter 3: Signal of Floating Body Cell -- Chapter 4: 128 Mbit Floating Body RAM on Silicon-on-Insulator -- Chapter 5: Scaling of Floating Body Cell -- Chapter 6: Cell Array Architecture and Sense Amplifier Design -- Chapter 7: Design Practices of Floating Body Random Access Memory -- Chapter 8: Floating Body Cell Development Activities and Future Directions.

Note: Front Cover -- Contents -- Preface -- Editors -- Contributors -- Chapter 1: An Overview of Continuum Description of Fluid Flow and Transport Processes -- Chapter 2: Microscale Gas Flow Dynamics and Molecular Models for Gas Flow and Heat Transfer -- Chapter 3: Calculations of Rarefied Gas Flows in Free-Molecular and Transitional Regimes -- Chapter 4: Ideal Gas Flows through Microchannels-Revisited -- Chapter 5: Pressure-Driven Flow in Microchannels -- Chapter 6: Applications of Magnetohydrodynamics in Microfluidics -- Chapter 7: Diffusio-Osmosis of Electrolyte Solutions in Microscale and Nanoscale -- Chapter 8: Electrodics in Electrochemical Energy Conversion Systems: Microstructure and Pore-Scale Transport -- Chapter 9: Van der Waals Interaction -- Chapter 10: Single-Particle Colloidal Hydrodynamics -- Chapter 11: Mass Transfer Issues in Micro- and Nanoscale -- Chapter 12: Gas Transport in Microcapillaries, Nanocapillaries, and Porous Media -- Chapter 13: Polymer Transport in Nanochannels -- Chapter 14: Fluid Friction and Heat Transfer in Microchannels -- Chapter 15: Nonboiling Two-Phase Flow in Microchannels -- Chapter 16: Heat Transfer Analysis in Electro-Osmotically Driven Microchannel Flows -- Chapter 17: Analysis of Modes during Bubble Growth in Saturated Film Boiling -- Chapter 18: Physics and Modeling of Turbulent Transport -- Chapter 19: Biotechnology for Bioengineers -- Chapter 20: Cellular Biomicrofluidics -- Chapter 21: Cell Lysis Techniques in Lab-on-a-Chip Technology -- Chapter 22: Microfluidic Cell Culture Devices -- Chapter 23: Probing Cells with Nanotechnology -- Chapter 24: Genomics and DNA Microarrays -- Chapter 25: Micro-PCR Devices for Lab-on-a-Chip Applications -- Chapter 26: Microscopic Hemorheology and Hemodynamics -- Color Insert -- Back Cover.