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Power management for internet of everything /
Addresses several advanced topics in the area of Power Management Analog and Mixed-Signal Circuits and Systems. The fundamental aspects of these topics are discussed, and state-of-the-art developments are presented. The book covers subject such as bio-sensors co-integration with nanotechnology.
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Aalborg :
River Publishers,
2018.
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| Colección: | Tutorials in circuits and systems.
|
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover
- Half Title Page
- Title Page
- Copyright Page
- Table of contents
- Introduction
- Chapter 1- Applications in Biosensing of Power Delivery, by Sandro Carrara
- 1. Chips under the skin?
- 2. CommentFully-Connected Human++
- 3. Wearable Devices by 2020
- 4. Under-the-Skin Device & Wearable Patch
- 5. Under-the-Skin Device (I)
- 6. Under-the-Skin Device (II)
- 7. The electrochemical Cell
- 8. How to measure a redox reaction?
- 9. Control Amplifier @ RE
- 10. Risk of Saturation (I)
- 11. Risk of Saturation (II)
- 12. Faradaic Current @ Fixed Bias
- 13. Faradaic Current in Voltage Scan
- 14. Transimpedance Amplifier @ WER
- 15. Grounded Working
- 16. Inside the Cell: Faradaic Current
- 17. Outline
- 18. The challenges were ...
- 19. Multi-Panel Platforms for Metabolism Monitoring (I)
- 20. Oxidases for Markers Monitoring
- 21. Multi-Panel Platforms for Metabolism Monitoring (II)
- 22. Indirect Detection: e.g., the ATP
- 23. Multi-Panel Platforms for Metabolism Monitoring (III)
- 24. P450 for Drugs Monitoring
- 25. Breast cancer drugs cocktail
- 26. Multi-Platform design
- 27. Multiple Calibration Curves
- 28. Sensors Query in Time
- 29. Multi-Panel Platforms for Metabolism Monitoring
- 30. Response upon ionic changes
- 31. The challenges were ...
- 32. Problems on Detection Limits
- 33. An improved P450/Electrode coupling by using Carbon Nanotubes
- 34. Improved Detection Limit
- 35. Detection of Several Drugs
- 36. Nano-Bio-Sensors by drop-casting
- 37. Nano-Bio-Sensors by Micro-Spotting
- 38. Nano-Bio-Sensors by Electrodeposition
- 39. Nano-Bio-Sensors by CVD (I)
- 40. Nano-Bio-Sensors by CVD (II)
- 41. Four different techniques
- 42. Template-free Pt electrodepositions
- 43. Nanopetal-decorated Nanospheres
- 44. Direct Detection of Glucose.
- 45. Non-Enzymatic Glucose detection (in cell media!)
- 46. Response upon ionic changes (I)
- 47. Response upon ionic changes (II)
- 48. Validation with Cells: Osmotic Shock
- 49. Validation with Cells: Apoptosis
- 50. The challenges were ...
- 51. Reliability in Temperature & pH (I)
- 52. Reliability in Temperature & pH (II)
- 53. Resistance-to-pulse-width converter
- 54. The CMOS reader for Potentiometry
- 55. The challenges were ...
- 56. Energy Scavenging Strategies
- 57. Inductive Coupling
- 58. Measures on the Designed Inductors
- 59. The Tiny Spiral Inductors
- 60. The Tiny Spiral Inductors on Air
- 61. The Multi-layer Inductor on Tissue
- 62. The Realized Remote Powering Patch (I)
- 63. The Realized Remote Powering Patch (II)
- 64. The Android Interface (I)
- 65. The Android Interface (II)
- 66. Connectivity with Smart-Watch
- 67. Connectivity through Cloud
- 68. The challenges were ...
- 69. Implantable Chip -Fully Integration
- 70. IC interfaced to the passive platform
- 71. A reliable CMOS Frontend
- 72. The Chip Frontend
- 2nd prototype
- 73. The Chip Frontend
- 3rd prototype (I)
- 74. The Chip Frontend
- 3rd prototype (II)
- 75. Implantable Systems-In-Package
- 76. The IC Potentiostat (I)
- 77. The IC Potentiostat (II)
- 78. Biocompatible Packaging
- 79. Final Silicone Packaging
- 80. System Biocompatibility
- 81. The Approach for moving animals
- 82. Remote Monitoring in Translational Medicine (I)
- 83. Remote Monitoring in Translational Medicine (II)
- 84. Under the skin system
- 85. Endogenous in-vivo
- 86. Exogenous in-vivo
- 87. Power Supply continuity issue
- 88. Endogenous in-vitro
- 89. Exogenous in-vitro
- 90. Nano-Sensors on Integrated Circuits
- 91. A certain attention from international media
- 92. Under the skin for body sculpting
- 93. Enhancing human being.
- 94. Size and Shape to be injectable as a Needle?
- 95. Reveal LINQTM by Medtronic
- 96. Conclusions
- 97. Take home main message
- 98. Further Reading
- 99. Great thank to my team @ EPFL
- Chapter 2
- Optimization of the Transfer of Power and of the Data Communication in the Case of Remotely Powered Sensor Networks, by Catherine Dehollain
- 1. Content
- PART 1
- 2. ARCHITECTURES OF REMOTELY POWERED SENSOR NETWORKS
- 3. At the Boundary between Different Domains
- 4. Data Transfer Methods
- 5. Backscattering Modulation in far field
- 6. Load Modulation in near field
- 7. Wireless Active Transmitter
- 8. Wireless Remote Powering
- 9. Single Frequency for Power and Data
- 10. Dual Frequency for Power and Data
- 11. Knee Prosthesis Monitoring
- 12. Ultrasonic Powering and Data Communication
- 13. Digestive Track Diagnostic
- 14. Passive Memory Tag for High Data Rate
- 15. Magnetically-Coupled Remote Powering System for Freely Moving Animals
- 16. Specs for Freely Moving Laboratory Rodents
- 17. Implantable Bio-Monitoring System
- 18. Thermistor Response Curve
- 19. Low-power Implantable Chip
- 20. Local Temperature Sensing Chip
- 21. Time-domain Sensor Readout
- 22. Implemented Data Transmitter
- 23. Wireless Power and Data Transfer for Intracranial Epilepsy Monitoring
- 24. Drawbacks of Intracranial Neural Implants
- 25. Wireless Power and Data Transfer System
- 26. Power and Data for Epilepsy Monitoring
- 27. Far-Field Remotely Powered Wireless Sensor System
- 28. Adaptive Impedance Matching
- 29. CMOS Differential Rectifier
- 30. Passive UHF RFID Tag
- 31. Base Station and Tag Antennas
- 32. CMOS Differential Rectifier
- 33. Low Power Sensor Interface
- PART 2
- 34. PASSIVE TRANSMITTERS THANKS TO BACKSCATTERING DATA COMMUNICATION
- 35. Backscattering Data Communication.
- 36. Implementation of the Data Communication
- 37. IF Backscattering Data Communication
- 38. Modulation Types
- 39. Read Range of Far Field RFID Systems
- 40. Effective Radar Cross Section
- 41. Estimation of the Maximum Distance Range
- 42. Parameters of the Tag and of the Reader
- 43. Measurements compared to Model
- 44. Radio Regulations
- 45. Passive Memory Tag
- 46. Dual Frequency Passive Memory Tag
- PART 3
- 47. REMOTE POWER FORWIRELESS SENSOR NETWORKS
- 48. Power by Electro-Magnetic Coupling
- 49. Remote Powering of an Implant
- 50. Geometry of the Coils
- 51. Comparison of the Two Types of Coupling
- 52. Solution 1: Fixed External Coils
- 53. Power Management of the Power Amplifiers
- 54. Solution 2: Moving External Coil
- 55. Solution 3: External Coil around the Cage
- 56. Conclusion
- Chapter 3
- A System on Chip for Energy Harvesting and Wireless Power Transfer, by Roberto La Rosa
- 1. Presentation Outline
- 2. Impact of Energy Harvesting and WPT on IoT
- 3. WPT and Energy Harvesting Solutions
- 4. A Self-Powered RF IC for Energy Harvesting
- 5. Nulling Stand-by using Wireless Power Transfer
- 6. Nulling Stand-by in battery powered appliances
- 7. Quasi Nulling Stand-by in battery powered appliances
- 8. Nulling Stand-by in battery powered appliances
- 9. Quasi Nulling Stand-by in battery powered appliances
- 10. Nulling Stand-By in Europe would imply:
- 11. Nulling Stand-by in AC powered appliances
- 12. Over the distance Wireless Battery Charger
- 13. Powering Battery-Free Systems with WPT
- 14. Powering Battery-Free Systems with WPT
- 15. Powering Battery-Free Systems with WPT
- 16. Powering Battery-Free Systems with PV cell
- 17. Conclusions
- Chapter 4
- Measuring and Analyzing Dynamic Current Profiles in Low Power Applications, by Dr. Christoph Zysset
- 1. Low Power Applications.
- 2. Current in Low Power Applications
- 3. Dynamic Currents in Low Power Apps (I)
- 4. Dynamic Currents in Low Power Apps (II)
- 5. Popular Measurement Approach
- 6. Current Measurement (I)
- 7. Current Measurement (II)
- 8. Current Measurement (III)
- 9. Gap-free Recording
- 10. Gap-free Recording
- Dead Time
- 11. Battery Emulation
- 12. So is there a solution?
- 13. Two approaches
- 14. DC Power Analyzer
- Dynamic Range
- 15. DC Power Analyzer
- Battery Emulation
- 16. DC Power Analyzer
- Gap-free Recording
- 17. DC Power Analyzer
- 18. Device Current Waveform Analyzer (I)
- 19. Device Current Waveform Analyzer (II)
- 20. Device Current Waveform Analyzer (III)
- 21. Measuring Dynamic Current Profiles in Low Power Applications is Not Trivial
- 22. There are solutions to this kind of measurement tasks
- Chapter 5
- Challenges and Approached to Variation-Aware Digital Low Power VLSI Design for IoT, by Prof. Andreas Burg
- 1. Low Power Digital VLSI Design
- 2. Power Consumption Bottleneck
- 3. Power and Energy Consumption in CMOS
- 4. Voltage Scaling: The Hammer in the Toolbox of Every Low-Power Designer
- 5. Compensating for Frequency Loss at Scaled Voltages
- 6. Ultra-Low-Power Design: Sub-Threshold Operation
- 7. Leakage Power (I)
- 8. Leakage Power (II)
- 9. Threshold Voltage Selection
- 10. Variation Aware Design
- 11. Sources of Variability: Overview
- 12. Sensitivity at Different Operating Conditions: Voltage Scaling Introduces Uncertainties
- 13. Global Yield Optimization
- 14. Adaptive Tuning: Basic Principle
- 15. Body Bias Modulates Threshold Voltage
- 16. Body Bias for Leakage Reduction
- 17. Body Bias in FD-SOI Technologies
- 18. Adaptive Tuning: Basic Principle (I)
- 19. Adaptive Tuning: Basic Principle (II)
- 20. Electrical Knobs: Adaptive Body Bias.