Proceedings of International Conference on Communication and Artificial Intelligence

Name: Proceedings of International Conference on Communication and Artificial Intelligence | ICCAI 2021
Brand: Springer
Price: 255.73 EUR
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ICCAI 2021

Vishal Goyal Manish Gupta Seyedali Mirjalili Aditya Trivedi(Editor)

Springer (Publisher)

Published on 9. May 2022

XXII, 691 pages

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978-981-19-0976-4 (ISBN)

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Dr. Vishal Goyal is currently working as Professor, Department of Electronics and Communication Engineering, GLA University, Mathura. He has a very rich experience of more than 20 years in teaching undergraduate and postgraduate classes. He has published more than 50 research papers publications in different International Journals and in Proceedings of International Conferences of repute. He has organized 4 international conferences technically sponsored by IEEE. He has also worked as Member of organizing committee in several IEEE international conferences in India and abroad. He has delivered numerous invited and plenary conference presentations and seminars throughout country and chaired the technical sessions in international and national conferences in India. He is also member of reviewer board for IEEE Transactions on Neural Networks and Learning Systems , International Journal of Swarm Intelligence , International Journal of Measurement Technologies and Instrumentation Engineering , Transactions of the Institute of Measurement and Control , Journal of the Chinese Institute of Engineers , International Journal of Power Electronics and Drive Systems . He has been appointed member of board of studies as well as in syllabus committee of different private Indian universities and member of organizing committee for various national and international seminars/workshops. He is Executive Committee Member of IEEE Computational Intelligence Society, IIT Kanpur. He is an active senior member of IEEE, Life member of ISTE, Member IFAC (International Federation of Automatic Control), Life Member Indian Science Congress Association.
Dr. Manish Gupta is presently associated with Department of Electronics and Communication Engineering, Institute of Engineering and Technology, GLA University, Mathura (UP) India. He received his Bachelor of Engineering (B.E.) in Electronics Engineering from Jiwaji University,Gwalior (MP) India, in 2000. He did his M. Tech. degree from Uttar Pradesh Technical University, Lucknow (UP), India, in year 2006 and Ph.D. from Rajasthan Technical University, Kota (Raj.). He has a very rich experience of more than 20+ years in teaching undergraduate and postgraduate classes. He has published 40+ research papers publications in different International Journals and in Proceedings of International Conferences of repute. He had served as the member of organizing committees for various international conferences. Moreover, he was also designated the reviewers various refereed journals. He is a life member of ISTE, Member IET. His research interest includes Communication systems, Image and Signal Processing.
Prof. Seyedali Mirjalili is the director of the Centre for Artificial Intelligence Research and Optimization at Torrens University Australia. He is internationally recognized for his advances in Swarm Intelligence and Robust Optimization. He has publishedover 200 publications with over 30,000 citations and an H-index of 50. As the most cited researcher in robust optimization, he is in the list of 1% highly- cited researchers and named as one of the most influential researchers in the world by Web of Science. He is a senior member of IEEE and an associate editor of several journals including Neurocomputing , Applied Soft Computing , Advances in Engineering Software , Applied Intelligence , and IEEE Access . His research interests include robust optimization, engineering optimization, multi-objective optimization, swarm intelligence, evolutionary algorithms, and artificial neural networks. He is working on the application of multi-objective and robust meta-heuristic optimization techniques as well.
Prof. Aditya Trivedi is Professor in the Information and Communication Technology (ICT) Department at ABV-Indian Institute of Information Technology and Management, Gwalior, India. He hasabout 20 years of teaching experience. Before joining ABV-IIITM in December 2006, he was Reader in the Department of Electronics and CSE at M.I.T.S., Gwalior. He received his bachelor degree in Electronics Engineering from the Jiwaji University. He did his M. Tech. (Communication Systems) from Indian Institute of Technology (IIT), Kanpur. He obtained his doctorate (Ph.D.) from IIT Roorkee in the area of Wireless Communication Engineering. His teaching and research interest include digital communication, CDMA systems, Signal processing, and networking. He has published around 60 papers in various national and international journals/conferences. He is a fellow of the Institution of Electronics and Telecommunication Engineers (IETE). He has completed one AICTE project. He is a reviewer of IEEE and Springer journals. In 2007, he was given the IETEs K.S. Krishnan Memorial Award for best system-oriented paper.

Content

Intro
Preface
Contents
Editors and Contributors
Communication System
3 × 3 Split-Ring Resonators Array-Inspired Defected Ground Plane Antenna for 2.4/5.5 GHz Wireless LAN Applications
1 Introduction
2 Design Configuration of Antenna
3 Results and Discussions
4 Conclusion
References
A Review on Optimization LNA Topologies for Wideband Application
1 Introduction
2 LNA Topologies
3 Comparison and Discussion
4 Conclusion
References
Speech Recognition Based Robotic Arm Writing
1 Introduction
2 Problem Statement
3 Related Works
4 Proposed Method
4.1 Transmitter Section
4.2 Receiver Section
4.3 Writing Module
5 Result and Analysis
6 Conclusion
References
A Comprehensive Investigation on Role of Machine Learning in 6G Technology
1 Introduction
2 Transformation of Network Standards
2.1 First Generation Network
2.2 Second Generation Network
2.3 Third Generation Network
2.4 Fourth Generation Network
2.5 Fifth Generation Network
2.6 Sixth Generation Network
3 Technologies Supported by 6G
3.1 AI
3.2 Molecular Communication
3.3 Quantum Communication
3.4 Blockchain
3.5 Terahertz Technology (THz)
3.6 Visible Light Communication (VLC)
4 Machine Learning Algorithm with 6G
5 Machine Learning's Potential in the 6G Era
5.1 Communication-Efficient Distributed Training and Inference
5.2 Smart Network Re-Configurability
5.3 Big Data Analytics
6 Future Research Directions for 6G
6.1 Efficiency and Precision in Computation
6.2 Learning Framework Robustness, Scalability, and Flexibility
6.3 Hardware Development
6.4 Distributed Energy
7 Conclusion
References
Handoffs in Next-Generation Wireless Networks
1 Introduction
1.1 Author's Contribution
2 Literature Review
3 Types of Handoffs
3.1 Handoffs in LTE
4 Conclusion
5 Future Work
References
A Review: Recent Progress in Multiple Access Techniques (RSMA and IDMA) for 5G and Beyond Networks
1 Introduction
2 Interleave Division Multiple Access (IDMA)
3 Rate Splitting Multiple Access
4 Comparison of IDMA and RSMA
5 Conclusion
References
A New Model for Real-Time Intrusion Prevention Systems for DDoS Attacks
1 Introduction
1.1 DoS and DDoS Attacks Overview
1.2 Some Common Types of DDoS Attacks
1.3 DDoS Prevention Techniques
1.4 Challenges of DDoS Attacks
2 Related Works
2.1 DDoS Attack Tools and Their Comparison
3 EDSONI Research Methodology
3.1 Lab Architecture
3.2 Dataset
4 Findings
4.1 Implementation and Experimental Result
5 Conclusion and Future Work
References
Implementation of Four-Pass Protocol Scheme Using Mathematical Series Cipher Encryption and Decryption in a Communication Network
1 Introduction
2 Literature Survey
3 Proposed Work
4 Testing and Implementation
4.1 Original Text: Think Twice Do Once
5 Conclusion
References
A Novel Spectrum Sensing Technique for Multiple Network Scenario
1 Introduction
2 Literature Survey
3 Energy Detection Technique Combined with Channel State Estimation
4 Components of Proposed Spectrum Sensing Technique
5 Results
6 Conclusion
References
Control System and IOT
Design and Development of Virtual Simulation Lab with Technology-Enabled Self-assessment
1 Introduction
2 Methodology
3 Development of Virtual Simulation Lab
3.1 Home Page
3.2 Processes and Applications
4 Simulation Bench
5 Comparative Simulations
6 Self-check Quiz
7 Conclusion
References
Performance Evaluation of Metaheuristic Algorithms for Optimal Exoskeleton Controller Design
1 Introduction
2 System Description
2.1 Knee-Ankle Modeling
2.2 Control Scheme
3 Algorithms
3.1 Grasshopper Optimization Algorithm (GOA)
3.2 Grey Wolf Optimizer (GWO)
3.3 Moth-Flame Optimization (MFO)
4 Results and Discussion
4.1 Convergence Curves
4.2 Parametric Uncertainty
4.3 Disturbance Analysis
5 Conclusion
References
Nonlinear PID Controller for Three-Link Robotic Manipulator System: A Comprehensive Approach
1 Introduction and Literature Studies
2 Problem Formulation and Mathematical Modeling of a Three-Link Robotic Manipulator System
3 Proposed Controller Design
3.1 Proportional Plus Integral (PI) Controller
3.2 Proportional Plus Integral Plus Derivative (PID) Controller
3.3 Nonlinear Proportional Plus Integral (NPI) Controller
3.4 Nonlinear Proportional Plus Integral Plus Derivative (NPID) Controller
3.5 Gain Tuning with Genetic Algorithm (GA)
4 Results and Discussion on the Comparative Performance of the Controllers
5 Conclusion and Future Scope
References
An Intelligent and Effective Cyber-Secured Smart-Home Automation System with Embedded AI
1 Introduction
2 System Overview
3 Subsystems
3.1 Temperature Control Monitoring System
3.2 Lighting Control System
3.3 Door Automatic Opening System
3.4 Fire-Fighting System
3.5 System of Other Appliances
4 Cyber-Attack on Home Automation System
4.1 Man-In-The Middle
4.2 Data and Identity Stealing
4.3 Device Hijacking
4.4 Distributed Denial-of-Service
5 Protection from Cyber-Attacks of Home Automation System
5.1 Multi-level Authentication
5.2 Network Data Communication Security
5.3 Analysis of Security Monitoring
5.4 Machine Learning Approach
6 Experimental Evaluation
7 Conclusion and Future Research Challenges
References
IoT and GSM Based Real-Time Water Monitoring System with Low Power Consumption
1 Introduction
2 Model Descriptions
2.1 Block Diagram
2.2 Schematic Diagram
2.3 Flow Chart
3 Results
4 Conclusion and Future Scope
References
Application of Internet of Things and Cloud Computing to Enhance the Agro-productivity
1 Introduction
2 Scope of Internet of Things (IoT) in the Agricultural Sector
3 Cloud Computing Applications in Agriculture Information Systems
4 Agriculture Virtualized Information Database
5 Sensors' Importance in Preciseness of Agriculture
6 Big Data in Food and Agriculture
7 Conclusion
References
Analyzing the Sources of Air Pollution and Comparing Its Impact During the Phases of COVID-19 Pandemic and the Scope of IoT in Monitoring Air Quality
1 Introduction
2 Materials and Method
2.1 Selection of Study Region
2.2 Sampling and Analysis
2.3 Data Collection
2.4 Calculation Ratio of AQI
3 Results
3.1 Analysis of NO2
3.2 Analysis of PM2.5
3.3 Analysis of PM10
3.4 Analysis of CO
3.5 Change in Air Quality Index
4 Discussion
4.1 Impact of Air Quality
4.2 Variation in Air Quality
4.3 Variation in AQI
5 Conclusion
References
Arduino UNO Controller and RTC-Based Medication Reminder and Monitoring System
1 Introduction
2 Block Diagram
2.1 Arduino UNO
2.2 GSM SIM800A
2.3 RTC DS1307
3 Results and Discussion
4 Conclusion
References
Corrosion Detection and Prediction Approach Using IoT and Machine Learning Techniques
1 Introduction
2 Literature Survey
3 Materials and Methods
4 Algorithm Design
5 Results and Discussion
6 Observations
7 Conclusion
References
Low-cost ECG and Heart Monitoring System Using Ubidot Platform
1 Introduction
1.1 ESP 32 Module
1.2 ECG Module (AD8232)
1.3 ECG Electrodes
2 Literature Survey
3 Design and Analysis of Proposed Work
4 Libraries Used
4.1 WiFi.h
4.2 WiFiUDP.h
4.3 PubSubClient.h
4.4 NTPClient.h
5 Circuit Diagram
6 Simulation Results
7 Conclusion
References
Machine Learning
Comparative Performance Evaluation of TFC-SVM Approach for Regression Test Case Prioritization
1 Introduction
1.1 Machine Learning
1.2 Problem Statement
2 Related Work
3 Proposed Methodology
3.1 TFC-SVM Technique
4 Comparative Performance Analysis
5 Conclusion and Future Scope
References
Future of Work: How Artificial Intelligence Will Change the Dynamics of Work Culture and Influence Employees Work Satisfaction Post-covid-19
1 Introduction
1.1 Research Gap
2 Role of AI in Various Sectors During Covid-19
2.1 Healthcare Sector
2.2 Business and Manufacturing Sector
2.3 Banking Sector
2.4 Agriculture Sector
2.5 Hospitality Sector
3 Impact of AI on Work Culture
3.1 Ways in Which AI is Impacting the Work Culture
3.2 AI and Employees Engagement Impacting Work Culture
3.3 AI and Employee's Perception Impacting Work Culture
4 Employee's Skills Related to AI
4.1 Why is There a Need to Upskill Employees Now?
5 Use of AI Positively Strengthens the Workplace Culture
5.1 Improve Operational Flexibility
5.2 Enhance Supply Chain Performance
5.3 Upskilling and Self-development
5.4 Connectivity
6 Adopting AI
6.1 Framework for Adopting AI
7 Impact of AI-Enabled Work Culture on Employees Work Satisfaction Post-pandemic
8 Research Methodology
9 Data Analysis and Results
9.1 Descriptive Statistics and Correlation Analysis
10 Factor Analysis and Scale Reliability
11 Linear Regression
12 Conclusion and Implications of the Study
13 Limitations and Future Scope
References
An Intellectual Detection and Multiclassification of Anomalies Applying BLPMA System
1 Introduction
2 Related Study
3 Proposed Work
3.1 Min-Max Specific Equivalent Discretization Method for Data Cleaning
3.2 Cognitive Principal Data Gain Feature Selection Method
3.3 Bayesian Likelihood Procurement Maximization Algorithm
4 Results and Discussions
5 Conclusion
References
Biologically Motivated Hexagonal Framework for Machine Vision
1 Introduction
2 2-D Sampling
3 Psuedo Hexagonal Pixel
4 Spiral Architecture (SA) Addressing Scheme
4.1 Locating Hexagonal Pixel: Spiral Address Calculation Method
5 Conclusion
References
A Comparative Study of Deep Learning Techniques for Farmer Query Text Classification
1 Introduction
2 Literature Survey
3 Data Collection and Preprocessing
3.1 Dataset Preparation
3.2 Word Embedding
4 Query Classification Model
4.1 Single LSTM Layered Network
4.2 Two LSTM Layered Network
4.3 Three LSTM Layered Network
5 Result and Discussion
6 Conclusions
References
A Comparative Study of Deep Transfer Learning Techniques for Tomato Leaf Disease Diagnosis
1 Introduction
2 Transfer Learning Techniques on Tomato Leaf Disease Diagnosis
2.1 VGG16Net
2.2 VGG19 Net
2.3 InceptionV3 Net
2.4 ResNet152V2
2.5 DenseNet201
2.6 InceptionResNetV2
2.7 XceptionNet
2.8 MobileNetV2
2.9 NASNetLarge
2.10 EfficientNetB7
3 Results and Discussions
4 Conclusion
References
An Effective Analysis of Cryptography and Importance of Implementing Cryptography in Fuzzy Graph Theory
1 Introduction
2 Literature Review
3 Proposed Methodology
4 Experiment Result
5 Conclusion
References
Role of Emotional Intelligence on Final Year Students' Employability
1 Introduction
2 Objectives
3 Literature Review
3.1 Proposed Conceptual Model of the Study
3.2 Self-Awareness
3.3 Motivation
3.4 Communication
3.5 Employability
4 Methodology
4.1 Respondents and Data Collection
5 Results
6 Discussion
7 Implications
8 Suggestion for Future Research
9 Conclusion
References
A Custom Stacking-Based Ensemble Learning Approach to Predict Failure of Stripper Well
1 Introduction
2 Workflow
3 Classical Machine Learning
4 Ensemble Learning
5 Custom Stacking Based Ensemble Learning
5.1 Phase 1-Training of Meta-learners
5.2 Phase 2-Generation of Meta-datasets
5.3 Phase 3-Training of Meta-model
6 Prediction
7 Results
8 Conclusion and Future Work
References
Heart Disease Prediction Using Machine Learning and Data Analytics Approach
1 Introduction
2 Literature Survey
3 Proposed System
4 Algorithm Design
5 Results and Discussions
6 Conclusion
References
Localized Attention Network for Facial Expression Recognition in an Online Tutoring System
1 Introduction
2 Existing Concepts/Related Works
2.1 Facial Expression Recognition
3 Proposed Concept
3.1 Data Acquisition
3.2 Feature Extraction
3.3 Emotion Detection
3.4 Pleasure-Arousal-Dominance (PAD) Model
3.5 Pleasure-Arousal-Dominance (PAD) Emotional State Model
4 Module Explanation
4.1 Convolutional Kernel
5 Experimental Results
6 Conclusion
References
Image and Signal Processing
Fruits Classification and Grading Using VGG-16 Approach
1 Introduction
2 Related Work
3 VGG-16 Based Architecture
3.1 Convolution Layer
3.2 Max-Pooling Layer
3.3 Fully Connected Layer
3.4 Fitting Model
3.5 Layers Implementations
4 Experimental Results and Discussions
4.1 Experiments on Dataset
4.2 Comparison with Other Methods
5 Conclusion
References
Multifactor Biometric Authentication for Cloud Computing Security
1 Introduction
2 Literature Survey
3 Proposed Scheme
3.1 Datasets
3.2 Haar Cascade Classifier Using OpenCV
3.3 Face and Iris Recognition System
3.4 LBPH Algorithm
3.5 Algorithm is Developed Using the Tools Used
4 Algorithm and Result
5 Conclusion
References
Proposing a Novel Scheme for Improving LSB Image Steganography with Color Image
1 Introduction
2 Related Work
3 Proposed Model and Methodology
4 Conclusion
References
Mining Minimal Non-redundant Image Association Rules Using Statistical Texture Feature Based Frequent Itemsets
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Pre-processing of Input Image
3.2 Extraction of Statistical Texture Feature and Generation of Feature Vector
3.3 Formation of Optimized Feature Vector
3.4 Formation of Transaction Database and Image Association Rule Mining
3.5 Extraction of Highly Correlated Image Association Rules (HCIAR Algorithm)
4 Experimental Results and Discussions
5 Conclusion
References
Machine Learning Based Crop Detection from Soil Images
1 Introduction
2 Materials and Methods
2.1 Soil Sample Collection
2.2 Soil Image Acquisition
3 Proposed Methodology
3.1 Preprocessing and Segmentation of Soil Images
3.2 Feature Extraction from Soil Images
3.3 Classification Using Multi-Class Support Vector Machine
3.4 Result Discussion
4 Conclusion and Future Scope
References
Satellite Image Enhancement Techniques: A Comprehensive Review
1 Introduction
2 Image Acquisition
3 Image Enhancement
4 Literature Review of Satellite Image Enhancement
5 Discussion
6 Conclusion
References
Heart Disease Prediction Analysis Through Ensemble Learning Model
1 Introduction
2 Related Work
3 Proposed Work
4 Results and Discussions
5 Conclusions
References
Diagnosis of Visible Diseases Using CNNs
1 Introduction
2 Motivation and Problem Definition
3 Datasets and Challenges
4 Proposed Methodology
4.1 Collection of Dataset
4.2 Creation of Bottlenecks
4.3 Training the Network
4.4 Creating the Mobile Application
4.5 Comparison Between Inceptionv3 and MobileNet
5 Simulation Results and Discussion
6 Conclusion
References
Performance Analysis for Accuracy of Various Algorithms to Detect and Classify Brain Tumor Using Data Mining
1 Introduction
2 Related Works
3 Materials and Methods
3.1 Dataset
3.2 Data Pre-processing
4 Proposed Model
5 Experimental Result
6 Comparison of Proposed Model
7 Conclusion
References
A Simplified Parameter Adaptive DCPCNN Based Medical Image Fusion
1 Introduction
2 SPADCPCNN Model
3 Proposed Medical Fusion Framework
4 Experimental Results and Discussion
5 Conclusion
References
Retinal Blood Vessel Segmentation Using Attention Module and Tversky Loss Function
1 Introduction
2 Related Works
3 Methodology
3.1 Attention Module
3.2 Convolutional Neural Network
3.3 Segmentation in Attention Module
3.4 Loss Function
4 Experimental Setup
4.1 Database
4.2 Performance Matrices
4.3 Result Evaluation
5 Conclusion
References
Performance Evaluation of 2D CNN Optimizers for Lung and Colon Cancer Image Classification
1 Introduction
2 Related Work
3 Dataset Description
4 Methodology
4.1 Pre-processing
4.2 Data Division
5 Result and Discussion
5.1 Obtained Accuracies
5.2 Loss Values
6 Conclusion
References
A Research Study on Brain Tumor Detection Techniques
1 Introduction
2 Brain Tumor Detection
3 Materials and Methods Used for Literature Survey
4 Observations
5 Conclusion
References
Soft and Cloud Computing
A Systematic Review on the QoS-Aware Service Provisioning in Fog Computing
1 Introduction
2 Related Work
3 Safekeeping Encounters of Fog Computing
4 Proposed Structure for QoS-Aware Fog Service Provisioning
5 Conclusion
6 Results and Discussions
References
Effective Use of Visualization Techniques for Educational Institutional Data Analysis
1 Introduction
2 Literature Review
3 Significance of the Topic and Research Gap
4 Details of Design/Technology
4.1 Data Source
4.2 Brief of Technology Used
5 Design Methodology
5.1 Power BI
5.2 OLAP Cube
6 Analytical and/or Experimental Work
6.1 Power BI Implementation
6.2 OLAP Cube Implementation
7 Results
8 Limitations and Future Studies
9 Conclusion
References
A Comparative Analysis of Automatic Extractive and Abstractive Text Summarization
1 Introduction
2 Related Work
3 Summarization Process
3.1 Data Selection
3.2 Pre-summarization
3.3 Summarization
3.4 Evaluation
4 Experimental Results and Evaluation
4.1 Analysis
5 Conclusion and Future Work
References
Secure Publisher-Subscriber Model on IoT Nodes Using Lightweight Authentication Algorithm
1 Introduction
2 IoT Security Threads
2.1 Authentication
2.2 Interfacing
2.3 Services
2.4 Encryption
2.5 Privacy
2.6 Security
2.7 Firmware
3 Related Work
4 Publisher-Subscriber Security Model
4.1 Publisher-Subscriber Cryptographic Organization
4.2 Broker Cryptographic Organization
4.3 Key Management
4.4 Authentication
4.5 Payload Encryption
5 Conclusion
References
Survey of the Data Vortex Switch Next-Generation Architectures
1 Introduction
2 Background of Data Vortex Switch Architecture
3 The Next-Generation Architectures
3.1 The Cluster Architecture of Data Vortex Network
3.2 The Data Vortex Network Architecture
4 Conclusions and Future Work
References
Technology, ICT, Digital Transformation in Vietnam in the Integration Era-And FDI Effects for Digital Technology and ICT Sector
1 Introduction
2 Methodology
3 Main Findings
3.1 Technology, ICT, Digital Transformation in Vietnam in the Integration Era
3.2 FDI Investment in ICT, Digital Technology Sectors
4 Discussion on Roles of FDI for Economic Growth
4.1 FDI Increases the Average Annual Economic Growth Rate
4.2 Industry Growth Rate
5 Conclusion
References
FinTech: Application of Artificial Intelligence in Indian Banking
1 Introduction
2 Literature Review
2.1 Objective and Research Gap
3 Research Methodology
3.1 Fintech is Transforming Banking and Bringing It Firmly into the Digital Arena
3.2 Risks Involved in Fintech
3.3 Fintech Changing the Business Model
3.4 Fintech Enhancing Customer Experience
3.5 Digital Banking Acting as Big Innovation in Financial Services
3.6 Fintech Empowering Financial Inclusion
3.7 Future of Scope of FinTech in India
4 Conclusion
References
Role of Artificial Intelligence in Revolutionizing Cancer Detection and Treatment: A Review
1 Introduction
2 Next Generation Sequencing (NSG)
3 Cancer Imaging in Clinics
4 AI and Digital Pathology
5 AI and Cancer Therapy
6 AI and Drug Discovery
7 Identification of Relevant Signatures in Drug Resistant Cancer
8 AI in Onco-Surgery
9 Conclusion and Discussion
References
Data Mining and the Associated Social Benefits
1 Introduction
1.1 Contributions
2 Data Mining
3 Data Mining Process
4 Applications of Data Mining
4.1 Data Mining in Healthcare
5 Data Mining in Business
5.1 How It Works in Business Setting
6 Before and After Data Mining
7 Conclusions
References
Factorization of AI Application in HRM
1 Introduction
2 Connecting AI and HRM
3 Literature Review
4 Research Methodology
5 Analysis of Research Findings
6 Discussion and Future Research Directions
References
Effects of Technology and Roles of IT Softwares (SPSS and AMOS) for Factors Influencing Patients' Intention to ByPass to Higher-Level Hospitals in Northern Vietnam
1 Introduction
2 Methodology and Model
2.1 Research Methods
3 Main Findings
3.1 Technology and Information Technology Effects in Hospitals
3.2 Using IT Software SPSS
3.3 Testing Models and Research Hypotheses
4 Discussion
5 Conclusion
References
VLSI Design and Its Application
Comparative Analysis of Power Reduction Techniques for 6T, 8T and 9T SRAM
1 Introduction
2 Conventional 6T CMOS SRAM Cell
3 Techniques to Reduce Power
3.1 Reduction of the Supply Voltage
3.2 Banked Organization
3.3 Architecture Involving Shared-Bit Line
4 Disadvantages and Drawbacks
5 Analysis of 6T, 8T and 9T
6 Results
7 Conclusion
References
A Review on CMOS Down Conversion Mixer for High Frequency Applications
1 Introduction
2 CMOS-Based Mixer Topologies
3 Conclusion
References
Use of Sense Amplifiers for SRAM in Both Conventional Voltage and Charge Transfer Mode
1 Introduction
2 Sense Amplifiers
2.1 Voltage Mode Sense Amplifier
2.2 Charge Transfer Sense Amplifier
3 Working Principle of 6T SRAM
4 Simulation and Results
5 Conclusions
References
Correction to: Multifactor Biometric Authentication for Cloud Computing Security
Correction to: Chapter 32 in: V. Goyal et al. (eds.), Proceedings of International Conference on Communication and Artificial Intelligence, Lecture Notes in Networks and Systems 435, https://doi.org/10.1007/978-981-19-0976-4_32
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Proceedings of International Conference on Communication and Artificial Intelligence

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