Semiconductor Integrated Circuit : Device Design, Modeling, Simulation, and Application (Hardcover)

1. Introduction to TFET Design & Simulation. 2. Optimization of Circuit Designing by Using Machine Learning Techniques. 3. FinFET Technology: Device Physics, Fabrication, and Performance Evaluation. 4. Machine Learning-Driven Optimization of Circuit Design: Techniques and Applications. 5. Analyzing the Performance of Carry Select Adder & Vedic Multiplier using Reversible Gates. 6. Exploring GAAFET Technologies for High-Performance Counter Design. 7. The Future of Electronics: 2D-FET with TMDs and Black Phosphorus. 8. Smart Memory Architecture with Built-in Fault Tolerance for Reliable Distributed Systems. 9. Eco-friendly semiconductor device design for sustainable systems: Low-waste architectures with degradable components. 10. Low-power energy harvesting techniques and its applications. 11. Advancing Microwave and RF Devices for Enhanced Sustainability via Cognitive Radio and Dynamic Spectrum Sharing. 12. IoT-Enabled Low-Cost Data Acquisition System Using STM32 and LabVIEW Visualization. 13. Machine Learning Techniques in Circuit Design & Optimisation. 14. Electronic Devices for Healthcare IoT Platforms. 15. Electronic Devices for Healthcare and IoT Application. 16. IoT-enabled Energy Systems: Integration and Optimization for Sustainable Solutions. 17. Power Optimization for Dynamic CMOS Tristate Buffer Using Dual Threshold Voltage Technique and Keeper Circuit with 18nm FinFET

Recursive State Estimation (Hardcover, 1)

Contents Foreword xv Preface xvii Acronims xix 1 Introduction 1 1.1 Brief pre-Kalman history . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Kalman filtering approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.2.1 Recursive filtering estimate . . . . . . . . . . . . . . . . . . . . . . . 5 1.3 Dynamic process in state space . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.3.1 What is system state? . . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.3.2 What do we need to estimate state? . . . . . . . . . . . . . . . . . . 7 1.3.3 What model to estimate state? . . . . . . . . . . . . . . . . . . . . . 8 1.3.4 What is state estimation problem? . . . . . . . . . . . . . . . . . . . 10 1.3.4.1 Filtering . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 1.3.4.2 Smoothing . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 1.3.4.3 Prediction . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 1.3.5 What types of linear state estimators? . . . . . . . . . . . . . . . . . 13 1.3.5.1 Unbiased estimator . . . . . . . . . . . . . . . . . . . . . . 13 1.3.5.2 Optimal estimator . . . . . . . . . . . . . . . . . . . . . . . 14 1.3.5.3 Optimal unbiased (maximum likelihood) estimator . . . . . 15 1.3.6 What criteria to evaluate estimator? . . . . . . . . . . . . . . . . . . 16 1.4 Properties of Kalman filtering . . . . . . . . . . . . . . . . . . . . . . . . . . 17 1.4.1 Linearity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 1.4.2 Dimensionality . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 1.4.3 Optimality . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 1.4.4 Effectiveness . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 1.4.5 General functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 1.4.6 Stability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 1.5 Summary . . . . . . . . . . . . . . . . . . . . . . ...


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Wide/Ultrawide Bandgap Semiconductor Devices for Harsh Environments: Volume 123 (Hardcover)

RF and Microwave Design : Circuits, Devices, and Systems (Hardcover)

Chapter 1. Fundamentals of RF and Microwave Device/Circuit Principles. 1.1 Introduction. 1.2 Low-Frequency vs RF and Microwave Device/Circuit Principles. References. Chapter 2. Basics of Scattering Matrix Useful for Characterizing RF/Microwave Circuits and Devices. 2.1 Introduction. 2.2 S-parameter Formulation of Microwave Network. 2.3 Properties of S-parameters. 2.4 S-matrix of Various Microwave Passive Circuit Components. 2.5 Signal Flow Graphs. 2.6 Application of Signal Flow Graph?RF/Microwave Amplifier Gain Formulation in Terms of S-parameters. References. Chapter 3. Fundamentals of Smith Chart and Stub Matching Design With Smith Chart. 3.1 Introduction. 3.2 Development of Smith Chart. 3.3 Smith and Jones Chart. 3.4 Compressed Smith Chart. 3.5 Stub Matching Design with Smith Chart. References. Chapter 4. Impedance Matching Circuits in Microwave Design. 4.1 Introduction. 4.2 Impedance Transformers. 4.3 Impedance Matching with Lumped-component/Planer Distributed-Line Reactive Elements. References. Chapter 5 . Microwave Filter Circuit Design: Low-pass, Band-pass, Band-stop, and Metamaterial-inspired Filter. 5.1 Introduction. 5.2 Insertion Loss Method for Low-pass Prototype Design. 5.3 Filter Transformations from Prototype. 5.4 Microwave Implementation. 5.5 Practical Microwave Filters?Analysis and Design. 5.6 Metamaterial-inspired Filter Design at Microwave Frequency. References. Chapter 6. Design of RF/Microwave Oscillators and Amplifiers. 6.1 Introduction. References. Chapter 7. Design of Microwave Power Combiners and Mixers. 7.1 Microwave Power Combiners. 7.2 Microwave Mixers. References. Chapter 8. Microwave Antenna Design. 8.1 Introduction. 8.2 Principle of Operation of Microstrip Patch Antenna. 8.3 Design of Conventional Microstrip Patch Antenna and Metamaterial-inspired Microstrip Patch Antenna. References. Chapter 9. RF and Microwave System Design. 9.1 Introduction. 9.2 Some Technical Aspects Related to Transmitter and Receiver. 9.3 Issues Related to R...


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Arduino for Dummies (Paperback, 3)

Introduction 1

Part 1: Getting to Know Arduino 5

Chapter 1: Discovering Arduino 7

Chapter 2: Finding Your Board and Your Way Around It 17

Chapter 3: Blinking an LED 39

Part 2: Getting Physical with Arduino 55

Chapter 4: Tools of the Trade 57

Chapter 5: A Primer on Electricity and Circuitry 69

Chapter 6: Basic Sketches: Inputs, Outputs, and Communication. 85

Chapter 7: More Basic Sketches: Motion and Sound 115

Part 3: Building on the Basics 149

Chapter 8: Learning by Example 151

Chapter 9: Soldering On 163

Chapter 10: Getting Clever with Code 193

Chapter 11: Common Sense with Common Sensors 225

Chapter 12: Becoming a Specialist with Shields and Libraries 255

Part 4: Sussing Out Software 273

Chapter 13: Getting to Know Processing 275

Chapter 14: Processing the Physical World 293

Part 5: The Part of Tens 325

Chapter 15: Ten Places to Learn More about Arduino 327

Chapter 16: Ten Great Shops to Know 331

Index 335

The Renin-Angiotensin System in Parkinson's Disease: Volume 13 (Hardcover)

I. The Renin-Angiotensin-Aldosterone System (RAAS) in health and disease
1. An overview and history of RAAS discovery and its significance in cardiovascular physiology
2. The Renin-Angiotensin-Aldosterone System (RAAS) in the cardiovascular system
Marcelo R. Choi Sr.
3. Other RAAS endocrine systems
4. RAAS physiology and pharmacology
5. Effects of the RAAS on inflammation.
6. RAAS genetics
7. RAAS local brain systems

II. 'The Renin-Angiotensin System in Parkinson’s disease
8. The Renin-Angiotensin System in neurodegenerative diseases: general considerations
9. Renin-Angiotensin System modulation of dopaminergic neurotransmission: effects on Parkinson’s Disease motor symptoms and motor fluctuations.
Francisco Capani
10. Renin-angiotensin System effects on mood in Parkinson’s Disease and other conditions.
Santiago Perez-Lloret
11. Renin-angiotensin System effects on cognition in Parkinson’s Disease and other conditions.
12. The potential neuroprotective effect of the Renin-angiotensin System
Santiago Perez-Lloret
13. The relationship between the Renin-Angiotensin System, COVID-19, and Parkinson’s Disease
14. The relationship between RAS and other pathological conditions that increase the risk of PD

Integrated Photonics for Sensing Applications (Paperback)

1. Introduction to PIC Sensors
2. Waveguide material platforms for short-wave IR sensing with a focus on silicon nitride
3. Non SiN waveguide material platforms for visible and near IR sensing
4. Waveguide platforms for mid-wave IR sensing
5. On-chip spectrometers for sensing
6. On-chip widely tunable lasers for sensing
7. Refractive index sensing
8. Direct absorption spectroscopy with dispersive methods
9. Raman (WERS), SERS, fluorescence spectroscopy
10. Functionalization of PICs for molecular adsorption in sensing
11. Bringing the sample/analyte to the PIC Sensor
12. Packaging: fully integrated sensor devices
13. Future of PIC Sensors: Development of PDKs, ADKs, and standards

Introduction to Electronic Circuits: A Design-Oriented Approach (Hardcover)

Optical Microresonators and Microparticles: Principles and Applications (Hardcover)