Frontiers of Quality Electronic Design (QED)

<p>Chapter 1. NAND Flash Memory Devices Security Enhancement Based on Physical Unclonable Functions.- Chapter 2. ReRAM based Neuromorphic Computing.- Chapter 3. Flash Technology for VLSI Design.- Chapter 4. Non-volatile memory Technologies:Characteristics,Deployment and Research Challenges.- Chapter 5. Data Analytics and Machine Learning for Coverage Closure.- Chapter 6. Cell-Aware Model Generation by Using Machine Learning.- Chapter 7. Neuromorphic Computing: A Path to Artificial Intelligence through Emulating Human Brains.- Chapter 8. AI for Cybersecurity in Distributed Automotive IoT Systems.- Chapter 9. Ultra-low Power Implementation of Neural Networks Using Inverter-based Memristive Crossbars.- Chapter 10. AI based Hardware Security Methods for Internet-of-Things Applications.- Chapter 11. Enabling Edge Computing Using Emerging Memory Technologies: From Device to Architecture.- Chapter 12. IoT Commercial, Industrial Applications and AI-powered IoT.- Chapter 13. Hardware and SystemSecurity - Attacks and Coun- termeasures Against Hardware Trojans.- Chapter 14. FPGA Security: Security Threats from Untrusted FPGA CAD Toolchain.- Chapter 15. DoS Attack Models and Mitigation Frameworks for NoC-based SoCs.- Chapter 16. Defense against security threats with regard to SoC Life Cycle.- Chapter 17. Defect Diagnosis Techniques for Silicon Customer Returns.</p>