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End User License Agreement
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End User License Agreement
by David Prince, Betty Prince
Memories for the Intelligent Internet of Things
Cover
Introduction to the Intelligent Internet of Things
1 Smart Cities as the Prototype of the Intelligent Internet of Things
1.1 Overview
1.2 Smart Cities
1.3 Smart Commerce as an Element of the Smart City
1.4 Smart Residences
1.5 People as Center of Smart Connected Homes
1.6 Smart Individual Transportation
1.7 Smart Transportation Networks
1.8 Smart Energy Networks
1.9 Smart Connected Buildings
1.10 Thoughts
References
2 Memory Applications for the Intelligent Internet of Things
2.1 Introduction
2.2 Comparisons of the Various Nonvolatile Embedded Memories Characteristics
2.3 Circuits Using Ultralow Power MCU with Embedded Memory for Energy Harvesting
2.4 Ultralow Power Battery Operated Flash MCU
2.5 Nonvolatile MCUs Using Emerging Memory for Nonvolatile Logic
2.6 Communication Protocols for Memory Sensor Tags
2.7 Wearable Medical Devices
2.8 Low Power Battery Operated Medical Devices and Systems
2.9 Automotive Network Applications
2.10 Smart Electrical Grid and Digital Utility Smart Meters
2.11 Consumer Home Systems and Networks
2.12 Motor Control Chips with Embedded Memory
2.13 Smart Chip Cards in Advanced Applications
2.14 Analysis of Big Data Server Memory Hierarchy for Storing IoT
References
3 Embedded Flash and EEPROM for Smart IoT
3.1 Introduction to eFlash and eEEPROM for Smart IoT
3.2 Single Poly Floating Gate eFlash/EEPROM Cells for IoT
3.3 eFlash Cells Using Multiple Single Polysilicon CMOS Logic Transistors
3.4 Split Gate Technology for Floating Gate Embedded Flash
3.5 Stacked Flash and Processor TSV Integration
3.6 OTP/MTP Embedded Flash Cells and Fuses
3.7 Stacked Gate Double Poly Flash
3.8 Charge Trapping eFlash
3.9 Split Gate CT eFlash Nanocrystal Storage
3.10 Novel Embedded Flash Memory
References
4 Thin Film Polymer and Flexible Memories
4.1 Overview
4.2 Organic Ferroelectric Memories
4.3 Polymer Ferroelectric Tunnel Junctions
4.4 Types and Characteristics of Polymer Resistive RAMs with Flexible Substrate
4.5 Charge Trapping Nanoparticle (NP) Memory on Flexible Substrates
4.6 Transfer of Conventional Memory Chips on to Flexible Substrates
References
5 Neuromorphic Computing Using Emerging NV Memory Devices
5.1 Overview of Resistive RAMs and Ferroelectric RAMs in Neuromorphic Systems
5.2 Various Resistive RAMs for use as Synapses in Neuromorphic Systems
5.3 3D Neuromorphic Memories
5.4 Modeling and Characterization of RRAMs as Synaptic Devices
5.5 Spiking Neural Nets, STDP, Potentiation, and Depression
5.6 Neural Network Systems Using Ferroelectric RAM Technology
5.7 Early Neuromorphic Computers Using Phase Change Memory
5.8 Resistive RAMs in Neuromorphic System Design and Application
5.9 Neuromorphic Memories Using Polymer and Flexible Memories
References
6 Big Data Search Engines and Deep Computers
6.1 Overview of Big Data Search Engines and Deep Computers
6.2 Content Addressable Memories Made Using Various Emerging Nonvolatile Memories
6.3 Components of Large Search Engines and Artificial Neural Networks
6.4 Memory Issues in Deep Learning Systems
6.5 Deep Neural Nets for IoT
References
7 Memory in Security Issues for IoT
7.1 Introduction to Memory in Security Issues for IoT
7.2 Memories Used as Physical Unclonable Functions (PUFs)
7.3 On‐Chip Memory‐Based Security Systems
References
Index
End User License Agreement
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WILEY END USER LICENSE AGREEMENT
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