Artificial Intelligence Driven Circuits and Systems: Select Proceedings of ISED 2021

Contents
About the Editors
An Efficient and Affordable R-Pi Based Cardiac Disease Detection System
	1 Introduction
	2 Proposed System Architecture
		2.1 Android Mobile Application for User Specific Information
	3 ECG Signal Processing Algorithm
		3.1 QRS Complex, J Point and Baseline Detection
		3.2 Proposed T Wave and P Wave Detection Algorithms
		3.3 Disease Classification
	4 Results and Discussion
		4.1 Real-Time P, QRS, and T Point Detection
	5 Conclusion and Future Work
	References
Performance Evaluation of IoT Enabled Pedometer for Estrus Detection in Dairy Cows in India
	1 Introduction
	2 Activity Monitoring System
		2.1 General Description
		2.2 Pedometer Design and Operation
		2.3 Receiver Node Design and Operation
		2.4 Cloud-Based IoT Platform
	3 Performance Evaluation
		3.1 Data Communication
		3.2 Network Lifetime
		3.3 Real-Time Assessment for Identification of Aberrant Behavior
		3.4 System Scalability
	4 Conclusion
	References
Toward an Adversarial Model for Keystroke Authentication in Embedded Devices
	1 Introduction
	2 Related Work
	3 Keystroke Authentication: Background
	4 Proposed Adversarial Model
	5 Evaluation
		5.1 Overhead Analysis
		5.2 Analysis of Crafted Adversarial Samples
		5.3 Comparison Against Other Adversarial Models
	6 Conclusion
	References
A Multi-phase LC-Ring-Based Voltage Controlled Oscillator
	1 Introduction
	2 Voltage Controlled Oscillator
		2.1 An Eight-Phase Ring Oscillator
		2.2 An Eight-Phase Ring Oscillator
	3 Proposed VCO
		3.1 Proposed VCO Functionality and Results
	4 Quarter-Rate CDR
	5 Conclusions
	References
Efficient Quantum Implementation of Majority-Based Full Adder Circuit Using Clifford+T-Group
	1 Introduction
	2 Preliminaries
		2.1 Majority Function
		2.2 Full Adder Circuit
	3 Proposed Methodology
		3.1 Fault-Tolerant Quantum Implementation of Majority-Based 1-Bit Full Adder
		3.2 Fault-Tolerant Quantum Implementation of Majority-Based n-bit Full Adder
	4 Experimental Results
	5 Conclusion
	References
Energy Efficient SRAM Design Using FinFETs and Potential Alteration Topology Schemes
	1 Introduction
	2 Static Random Access Memory
	3 FinFETs
	4 Leakage Current Reduction Techniques
		4.1 Upper Voltage Lowering Technique
		4.2 Lower Voltage Lifting Technique
	5 Performance Indices for the SRAM
	6 Results and Discussion
		6.1 Comparative Analysis
	7 Conclusion
	References
A Varactor-Based Impedance Tuner Circuit Operating at ISM Frequency Band Centered at 2.45GHz
	1 Introduction
	2 Re-Configurable Impedance Tuner
		2.1 Circuit Design
		2.2 Design and Optimization
		2.3 Simulated Results
	3 Conclusion and Future Work
	References
Deadlock Avoidance in Torus NoC Applying Controlled Move via Wraparound Channels
	1 Introduction
	2 Related Work
	3 Deadlock in the Torus NoC and Dependency Graph
		3.1 Deadlock in Torus NoC
		3.2 Dependency Graph for Deadlock Representation
	4 Deadlock Avoidance in Torus NoC
		4.1 Arc Model for Torus NoC
		4.2 Application of Arc Model
	5 Experimental Results and Deadlock-Freedom Analysis
	6 Conclusion and Future Work
	References
Formal Modeling and Verification of Starvation Freedom in NoCs
	1 Introduction
	2 Related Works
	3 Formal Modeling of NoC
		3.1 Sync and Buffer
		3.2 Switch for Route Computation
		3.3 Returning to Initial State After a Transmission
		3.4 Arbiter for Resolving Conflict at Output Port
	4 Starvation Specification Using Linear Temporal Logic
	5 Experimental Results and Analysis
	6 Conclusion and Future Work
	References
Reduced Graphene Oxide Soil Moisture Sensor with Improved Stability and Testing on Vadose Zone Soils
	1 Introduction
	2 Material and Methods
	3 Results and Discussion
	4 Conclusions
	References
NeuralDoc-Automating Code Translation Using Machine Learning
	1 Introduction
	2 Literature Review
	3 NeuralDoc
		3.1 Approach
		3.2 Method
		3.3 Algorithm
	4 Experiment
		4.1 Datasets
		4.2 Evaluation Metrics
		4.3 Hyper-Parameters
		4.4 Implementation
	5 Results and Analysis
	6 Conclusion
	References
Transfer Fault Detection in Finite State Machines Using Deep Neural Networks
	1 Introduction
	2 Preliminaries
		2.1 Finite State Machine (FSM)
		2.2 Homing Sequences
		2.3 W-method
		2.4 Transfer Fault
		2.5 Distinguishing Sequence (DS) Method
		2.6 Deep Neural Networks (DNNs)
	3 Proposed DNN Based Method
		3.1 Proposed Algorithm and Its Explanation
		3.2 Deep Neural Network (DNN) Model
	4 Experimental Results and Analysis
	5 Conclusions
	References
Detecting Anomalies in Power Consumption of an Internet of Things Network Using Statistical Techniques
	1 Introduction
		1.1 Challenges and Difficulties
	2 Definitions and Background Study
		2.1 Anomaly Detection in Power Consumption
		2.2 Types of Anomaly
		2.3 Performance Metrics for Model Evaluations
	3 Statistical Algorithms for Univariate Time Series Anomaly Detection
		3.1 Library Packages Used
		3.2 Results
	4 Conclusion
	References
Author Index