Edge Analytics

Name: Edge Analytics | Select Proceedings of 26th International Conference-ADCOM 2020
Brand: Springer
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Select Proceedings of 26th International Conference-ADCOM 2020

Ripon Patgiri Sivaji Bandyopadhyay Malaya Dutta Borah Valentina Emilia Balas(Editor)

Springer (Publisher)

1st Edition

Published on 3. April 2022

XII, 734 pages

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978-981-19-0019-8 (ISBN)

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Ripon Patgiri is an Assistant Professor at the Department of Computer Science and Engineering, National Institute of Technology, Silchar. He received his Bachelor's Degree from the Institution of Electronics and Telecommunication Engineers, New Delhi, in 2009, M.Tech. degree from the Indian Institute of Technology Guwahati in 2012 and a Ph.D. degree from the National Institute of Technology (NIT), Silchar, in 2019. Dr. Patgiri has numerous papers published in reputed journals, conferences, and books. His research interests include bloom ?lters, networking, security, privacy, secrecy, and communication. He is a member of several professional bodies such as IEEE, ACCS (India), ACM, EAI, and IETE. He is Area Editor of the EAI Endorsed Transactions on the Internet of Things. Dr. Patgiri serves as Editor of several conference proceedings.Sivaji Bandyopadhyay is the Director of NIT Silchar since December 2017. He is a Professor of the Department of Computer Scienceand Engineering, Jadavpur University, India, where he has been serving since 1989. He is also a Professor in the Department of Computer Science and Engineering at NIT Silchar. Dr. Bandhyopadhyay has over 300 journal publications and 2 books to his credit. His research interests are natural language processing, machine translation, sentiment analysis, and medical imaging. He has organized several conferences and has been Program Committee Member and Area Chair in several reputed conferences. He has completed international funded projects with France, Japan, and Mexico. At the national level, he has been the Principal Investigator of several consortium mode projects in machine translation, cross-lingual information access, and treebank development. He is presently the Principal Investigator of an Indo-German SPARC project with the University of Saarlandes, Germany, on Multimodal Machine Translation and the Co-PI of several other international projects.Malaya Dutta Borah is an Assistant Professor at the Department of Computer Science and Engineering, NIT Silchar. She received her Ph.D. degree from Delhi Technological University. She has published several papers in reputed journals, conferences, and books. She has rich experience in conducting conferences and workshops.Valentina Emilia Balas is currently a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, "Aurel Vlaicu" University of Arad, Romania. She holds a Ph.D. Cum Laude, in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Dr. Balas authored over 350 research papers in refereed journals and International Conferences. Her research interests are in intelligent systems, fuzzy control, soft computing, smart sensors, information fusion, modeling, and simulation. She is the Editor-in-Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to InternationalJournal of Computational Systems Engineering (IJCSysE), Member of Editorial Board Member of several national and international journals, and is evaluator expert for national, international projects, and Ph.D. thesis.

Content

Intro
Contents
About the Editors
An IoT-Based Intelligent Irrigation Management System
1 Introduction
2 Related Work
3 Proposed Algorithms
3.1 Training and Optimization Algorithm
4 Experimental Results and Discussion
4.1 Experimental Set-Up
4.2 Results and Discussion
5 Conclusion
References
Discerning Android Malwares Using Extreme Learning Machine
1 Introduction
2 Related Work
3 Proposed Work
3.1 Object-Oriented Software Metrics
3.2 Android Malware Detection
4 Experimental Results and Comparison
4.1 Analyzing Metrics-Based Datasets
4.2 Analyzing Feature Selection Methods
4.3 Analyzing Machine Learning Algorithms
4.4 Analyzing Machine Learning Algorithms Over Metrics-Based Datasets
4.5 Comparison
5 Conclusion
References
Crime Analysis Using Artificial Intelligence
1 Introduction
2 Related Work
3 Crime Analysis Procedure
4 Methodology Used
4.1 TensorFlow Faster RCNN Object Detection
4.2 TensorFlow Inception V3
4.3 TensorFlow PoseNet
4.4 Report Generation
5 Results
5.1 Weapon Detection
5.2 Audio - Spectrogram Conversion
5.3 Posture Analysis
6 Conclusion
References
A Novel Architecture for Binary Code to Gray Code Converter Using Quantum Cellular Automata
1 Introduction
2 Fundamentals of QCA
2.1 Superposition Theorem
2.2 QCA Wire Logic
2.3 QCA Implementation of Code Converters
3 Proposed Work
3.1 Novel XOR Gate
3.2 Binary to Gray Code Converter
4 Results
4.1 2 Bit Binary to Gray Code Converter Parameter Comparison Chart
4.2 3 Bit Binary to Gray Code Converter Parameter Comparison Chart
4.3 4-Bit Binary to Gray Code Converter Parameter Comparison Chart
5 Conclusion
References
Algorithmic Analysis on Spider Monkey Local Leader-based Sea Lion Optimization for Inventory Management Integrated with Block Chain in Cloud
1 Introduction
2 Literature Review
3 Architectural View of Inventory Management in Block Chain Under Cloud
3.1 Proposed Model
3.2 Formulation of Problem
3.3 Objective Function
4 Optimal Inventory Management Using Proposed SMLL-SLnO
4.1 Solution Encoding
4.2 Proposed SMLL-SLnO
5 Results and Discussions
5.1 Experimental Setup
5.2 Analysis of Proposed SMLL-SLnO Algorithm by Varying Perturbation Rate
5.3 Analysis on Final Cost
5.4 Analysis on Time Complexity
6 Conclusion and Future work
References
Energy-Efficient Wireless Communications Using EEA and EEAS with Energy Harvesting Schemes
1 Introduction
2 Literature Review
3 Proposed Method for Achieving Clustering
3.1 Algorithm-1 Energy-Efficient Algorithm (EEA)
3.2 Algorithm-2 Energy-Efficient Algorithm with Security (EEAS)
4 Findings
5 Future Work
6 Conclusion
References
Optimizing View Synthesis Approach for TerraSAR-X Image Registration Using Decision Maker Framework
1 Introduction
2 Related Work
3 Image Registration Using View Synthesis (IRVS)
4 Optimization of View Synthesis Approach
5 Experimental Results
6 Conclusion
References
Partitioning Attacks Against RPL in the Internet of Things Environment
1 Introduction
1.1 Major Contributions
2 Related Work
3 Problem Statement
4 Proposed Taxonomy of Topological Attack Against RPL
5 Partitioning Attacks in RPL
5.1 Novel Partitioning Attack
5.2 Penetration Testing of Novel Partitioning Attack
6 Proposed Detection Mechanism of Partitioning Attack
7 Conclusion and Scope of Future Work
References
Medical Sign Shaped Compact Wideband 2 × 2 MIMO Antenna for 5G Application
1 Introduction
2 Literature Survey
3 Design Procedure for Single and MIMO Antenna
3.1 Single Element
3.2 MIMO Antenna
4 Simulated Results
4.1 S11 and S21 Parameters
4.2 VSWR
4.3 Gain
4.4 Analysis of MIMO Performance Parameters
5 Comparative Analysis
6 Conclusion
References
Uniform Channel Decomposition-Based Hybrid Precoding Using Deep Learning
1 Introduction
2 System Model
2.1 Massive MIMO System Model
2.2 Channel Model
3 Proposed Hybrid Precoding Scheme
3.1 DNN Architecture
3.2 Learning Policy
4 Simulation Results and Analysis
5 Conclusion
References
An Effective Scheme to Mitigate Blackhole Attack in Mobile Ad Hoc Networks
1 Introduction
2 Related Work
3 Proposed Scheme
3.1 Auditing of Energy
3.2 Trust Manager
3.3 Check for the Veracity of Packets
3.4 Authentication of the Node Member
3.5 Final Trust Manager
3.6 Certificate Authority (CA)
3.7 Fuzzy-Based Analyzer
4 Implementation and Result
4.1 NS2 Simulation Study
4.2 NS2 Simulation Parameters
4.3 Result
5 Conclusion
References
HeuristiX: Adaptive Event Processing Using Lightweight Machine Learning Approaches on Edge Devices
1 Introduction
2 Proposed Framework
2.1 Data Acquisition
2.2 Machine Learning Approaches
2.3 Genetic Algorithms
2.4 Complex Event Processing Engine
2.5 Sliding Window
2.6 Evaluation Metrics
3 Experimental Results
4 Conclusion
References
A Hybrid Clustering Approach for Faster Propagation of Emergency Messages in VANET
1 Introduction
2 Related Work
2.1 Cluster-Based Protocol
2.2 Broadcast-Based Protocol
3 Research Proposal
4 Results and Analysis
5 Conclusion
References
Machine Learning and IoT-Based Messaging Device for Blind, Deaf, and Dumb People
1 Introduction
2 Literature Review
3 Methods and Materials
3.1 Dataset Preparation
3.2 Raspberry Pi and Associated Hardwares
4 Proposed System
4.1 Architecture
4.2 Hardware System
4.3 Software System
5 Experimental Results
6 Conclusion and Future Scope
References
6G Communication: A Vision on the Potential Applications
1 Introduction
2 6G Technology
2.1 Transition from Smart to Intelligent
2.2 Quality of Services
3 6G Enabling Technology
3.1 Internet of Everything (IoE)
3.2 Edge Intelligence
3.3 Artificial Intelligence
4 Vehicular Technology
4.1 Intelligent Cars
4.2 Unmanned Aerial Vehicles
4.3 Intelligent Transportation
5 Intelligent Robotic Communication
5.1 Aerospace Robotic Communication
5.2 Underwater Robotic Communication
6 Virtual Communication
6.1 Holographic Communication
6.2 Augmented Reality and Virtual Reality
6.3 Tactile/Haptic Internet
7 Intelligent Health Care
7.1 Intelligent Internet of Medical Things (IIoMT)
8 Intelligent City
8.1 Intelligent Traffic
8.2 Intelligent Waste Management
8.3 Intelligent Home
8.4 Intelligent Power Grid
9 Industrial Revolution
10 Internet of Nano-Things
11 Datacenter Connectivity
12 Conclusion
References
Analysis and Comparison Between Reversible DS GATE and Irreversible NXOR Logic Circuit
1 Introduction
2 Proposed Methodology
3 Need of Reversible Computing
4 Fault Tolerant Reversible Logic Gates
5 Proposed Reversible DS Gate
6 Comparison and Results
7 Conclusion and Future Scope
References
Deep Neural Models for Early Diagnosis of Knee Osteoarthritis and Severity Grade Prediction
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Pre-processing
3.2 Neural Classification Models
4 Experimental Results and Analysis
5 Conclusion and Future Work
References
The GNS1 Algorithm for Graph Isomorphism
1 Introduction
2 Practical Applications of Motifs
3 Nomenclature
4 Input Data for the Algorithms
5 Preconditions and Graph Definitions
6 Database
6.1 For the GNS1 Algorithm
7 The New GNS1 Backtracking Algorithm
7.1 Pseudocode ch19cordella,ch19lee
7.2 GNS1 Algorithm Structure and Methods
7.3 Pruning Techniques and Input Data Cases. The is_joinable() Method
8 Tests
9 System Specifications
10 Conclusions
References
Deep Learning-Based Pothole Detection for Intelligent Transportation Systems
1 Introduction
2 Related Work
3 Methodology
4 Experimental Results
4.1 Datasets
4.2 Operating Environment
4.3 Evaluation Metrics
4.4 Results
5 Conclusion
References
Disaster Management Using Artificial Intelligence
1 Introduction
2 Literature Review
3 Proposed Approach
3.1 Person Detection
3.2 Social Media Analytics
3.3 Web Application
4 Conclusion and Future Works
4.1 Future Improvements
References
Classification of Tea Leaf Diseases Using Convolutional Neural Network
1 Introduction
2 Related Works
3 Materials and Methodology
3.1 Sample Collection and Preparing the Dataset
3.2 Convolutional Neural Network (CNN)
3.3 Training Parameters
4 Results and Discussions
5 Conclusion
References
Epileptic Seizure Classification Using Spiking Neural Network from EEG Signals
1 Introduction
2 Related Work
3 Materials and Methods
3.1 Features Extraction
3.2 Classification
4 Results and Discussion
4.1 Dataset Description
4.2 Performance Evaluation of the Proposed Model
5 Conclusion
References
Policing Android Malware Using Object-Oriented Metrics and Machine Learning Techniques
1 Introduction
1.1 Objective and Research Questions
2 Related Work
3 Research Methodology
3.1 Metrics Extraction and Aggregation Measures
3.2 Data Sampling Techniques
3.3 Feature Selection Techniques
3.4 Classification Techniques
3.5 Performance Evaluation Metrics
4 Experimental Results and Findings
4.1 Analyzing Data Sampling Techniques
4.2 Analyzing Feature Selection Techniques
4.3 Analyzing Machine Learning Algorithms
4.4 Analyzing Machine-Learned Models
5 Comparison of Results
6 Threats to Validity
7 Conclusion
References
Vascular Clog Loss Classification: An Advanced Alzheimer's Research Using ConvNets
1 Introduction
2 Approach
2.1 Extraction of Frames
2.2 Detecting Marked Region in the Frames
2.3 Classification and Prediction from the Outlined
3 Architecture
3.1 Residual Neural Networks
3.2 AlexNet
4 Dataset
5 Marked Region Extraction
5.1 Template Matching
5.2 Haar Cascade
5.3 Mathematical Approach (Pixel Intensity Extraction)
6 Results
7 Conclusion
References
Challenges and Risks Associated with Public Key Infrastructure
1 Introduction
2 Public Key Infrastructure
3 Components of PKI
4 Related Work
5 Risks Associated with PKI
6 Reasons of PKI Failure
7 Conclusion
References
Mathematical Information Retrieval Using Formula2Vec Approach
1 Introduction
2 Related Work
3 Corpus Description
4 Methodology
4.1 Prepocessing
4.2 Formula2Vec Model
4.3 Similarity
5 Experimental Results
6 Conclusion and Future Scope
References
Analysis of Cryptocurrency Mining in Gaming Consoles
1 Introduction
2 Cryptocurrency Mining
3 Related Works
4 Experimental Analysis
4.1 Price and Specifications
4.2 Cryptocurrency
4.3 Hash Rate
4.4 Power Consumption
4.5 Life Span
5 Results
5.1 PlayStation 4
5.2 PlayStation 4 Pro
5.3 Xbox One
5.4 Xbox One X
6 Conclusion
7 Limitations
8 Future Works
References
Component Species Prediction of Birds with Song Spectrum Features Using Machine Learning
1 Introduction
2 Literature Review
3 Our Contributions
3.1 Architectural Flow
4 Implementation Setup
4.1 Dataset Exploratory Analysis
5 Results and Discussion
6 Conclusion
References
P2P Traffic Identification Using Machine Learning and Feature Selection Techniques
1 Introduction
2 Related Works
3 Methodology
3.1 Data Collection
3.2 Preprocessing of Data and Feature Extraction
3.3 Feature Selection Techniques
3.4 Machine Learning Algorithms
3.5 Port Analysis and Labelling the Data
4 Performance Evaluation
4.1 Results and Discussion
5 Conclusion and Future Direction of Work
References
Spotted Hyena Optimization (SHO) Algorithm-Based Novel Control Approach for Buck DC-DC Converter-Fed PMBLDC Motor
1 Introduction
2 Problem Formulation
2.1 Mathematical Modelling of Buck Converter
2.2 Mathematical Modelling of VSI-Fed PMBLDC Motor
3 Controller Design and Algorithm
3.1 Objective Function
3.2 Spotted Hyena Optimization (SHO) Algorithm
4 Simulation Results
5 Conclusion
Appendix
References
Imbalanced Data Classification Using Hybrid Under-Sampling with Cost-Sensitive Learning Method
1 Introduction
2 Literature Review
3 Proposed Model and Methodology
3.1 Data Cleaning
3.2 Data Balancing
3.3 Cost Accumulation
4 Experiment Setup
4.1 Datasets and Experimental Setup
4.2 Evaluation Metrics in Imbalance Domain
4.3 Results and Comparison
5 Conclusion
References
Analyzing the Errors in Channel Sensing and Negotiation in Cognitive Radio H-CRAN
1 Introduction
2 Related Literature
3 Proposed CR-Based Interference Mitigation Scheme
3.1 System Requirements
3.2 Channel Sensing
3.3 Channel Negotiation
4 Errors in Channel Sensing and Negotiation
4.1 Errors in Channel Sensing
4.2 Errors in Channel Negotiation
5 Performance Analysis
6 Conclusion
References
A New Fairness Model Based on User's Objective for Multi-user Multi-processor Online Scheduling Problem
1 Introduction
2 Our Proposed Fairness Model
2.1 Characteristics of a Good Fairness Model
2.2 Our Proposed Fairness and Unfairness Parameters
3 Absolute Fairness and Lower Bound Results
3.1 Results on Absolute Fairness in MUMPOSP with m Identical Machines for Equal Length Jobs
4 Fairness Measure Using Flow Time and Completion Time as User's Objective
5 Concluding Remarks and Scope of Future Work
References
Att-PyNet: An Attention Pyramidal Feature Network for Hand Gesture Recognition
1 Introduction
2 Proposed Network
2.1 Attention Pyramidal Feature Network (Att-PyNet)
3 Experimental Results and Analysis
3.1 Datasets
3.2 Quantitative Analysis
3.3 Qualitative Analysis
3.4 Computational Complexity
4 Conclusion
References
Electroencephalogram-based Cognitive Load Classification During Mental Arithmetic Task
1 Introduction
2 Methodology
2.1 Dataset Description
2.2 Feature Extraction
2.3 Classification
2.4 Performance Measures
3 Results and Analysis
4 Conclusions
References
Sniffing Android Malware Using Deep Learning
1 Introduction
1.1 Objectives and Research Questions
2 Related Work
2.1 Static Analysis
2.2 Dynamic Analysis
3 Experimental Dataset
3.1 Benignware and Malware
3.2 Selecting and Collecting Applications
4 Research Methodology
4.1 Object-Oriented Metrics Extraction and Aggregation
4.2 Data-Sampling Techniques
4.3 Feature Selection Techniques
4.4 Classification Techniques
4.5 Performance Evaluation Metrics
5 Experimental Results and Findings
5.1 Analysing Data-Sampling Techniques
5.2 Analysing Feature Selection Methods
5.3 Analysing Machine Learning Algorithms
5.4 Analysing Machine-Learned Models
6 Comparison of Results
7 Threats to Validity
8 Conclusion and Future Work
References
Vertical Fusion: A Distributed Learning Approach for Vertically Partitioned Data
1 Introduction
2 Preliminaries
2.1 Fusion Learning
3 Proposed Approach
4 Experimental Results
4.1 Experimental Settings
4.2 Results
5 Conclusion and Future Work
References
FedPeer: A Peer-to-Peer Learning Framework Using Federated Learning
1 Introduction
2 Related Work
3 Problem Formulation and Algorithm
3.1 Proposed Loss Function
3.2 Minimization Algorithm
4 Proposed Approach
5 Experimental Results
5.1 Experimental Settings
5.2 Performance Metrics
5.3 Results
6 Conclusion
References
Weighted Road Network Distance-Based Data Caching Policy for Spatio-Temporal Data in Mobile Environment
1 Introduction
2 Literature Survey and Model Description
3 Assumptions and Terminologies
3.1 Valid Scope
3.2 Network Distance
3.3 Network Density
4 Experimental Design
4.1 Proposed Replacement Policy
4.2 Shortest Distance and Estimated Travel Time Calculation
4.3 Access Frequency Calculation
5 Performance Evaluation
6 Conclusion
References
An Experimental Analysis for Credit Card Fraud Detection with Imbalanced and Machine Learning Techniques
1 Introduction
2 Materials and Methods
2.1 Data Set Description
2.2 Methodology
3 Experimental Results and Discussions
3.1 Feature Selection
3.2 Category 1: Traditional Machine Learning Algorithms
3.3 Category 2: Ensemble Machine Learning Algorithms
3.4 Category 3: Imbalanced Data Pre-processing and Traditional Machine Learning Algorithms
4 Conclusion and Future Work
References
Outlier Detection Techniques: A Comparative Study
1 Introduction
2 Detection Techniques
2.1 Neighbourhood-Based Techniques
2.2 Subspace-Based Model
2.3 Ensembled-Based Model
2.4 Mixed-Type Model
3 Conclusion and Future Work
References
Energy-aware Application Scheduling on DVFS-Enabled Edge Computing with Mobile-Edge-Cloud Cooperation
1 Introduction
2 Related Work
3 System Model and Problem Formulation
3.1 Application Model
3.2 Scheduling Between Local Device and MEC Nodes
3.3 MEC Execution and Cost Model
3.4 Scheduling Between Edge and Cloud
3.5 Problem Formulation
4 Proposed Scheduling Strategy
5 Performance Evaluation
5.1 Simulation Environment
5.2 Result Analysis
6 Conclusion
References
Prediction of Heart Disease using LDL in Edge Computing Systems
1 Introduction
2 Literature Survey
2.1 Carmichael's Hypothesis
2.2 Homomorphic Encryption
2.3 Using Homomorphic Encryption
3 Proposed System
3.1 Gorti's Encryption Scheme
3.2 Carmichael's Encryption Scheme
4 Case Study
4.1 Cholesterol
4.2 Proposed System Design
4.3 Data Collection
4.4 Carmichael's Encryption and Decryption
4.5 Carmichael's Encryption and Decryption
4.6 Analysis of Heart-Disease
4.7 Computational Time Analysis
5 Attack Analysis
6 Conclusion and Future Enhancements
References
Edge Computing as an Architectural Solution: An Umbrella Review
1 Introduction
2 Related Work
2.1 Cloudlet
2.2 Fog Computing
2.3 Multi-access Edge Computing
2.4 Architecture Patterns and Tactics in Edge Computing
3 Methodology
3.1 Research Goal and Research Questions
3.2 Research Execution
4 Results and Analysis
4.1 Quality Attributes in Edge Computing
4.2 Architectural Tactics in Edge Computing
4.3 Architectural Strategies in Edge Computing
4.4 Tactics Achieving Quality Attributes in Edge Computing
4.5 Strategies Grouping Tactics in Edge Computing
4.6 Synthesis and Discussion
5 Conclusions, Limitations, and Future Work
References
Content-Based Recommender System for Similar Products in E-Commerce
1 Introduction
1.1 Motivation
2 Literature Review
3 Methodology
3.1 Roadmap of the Work
3.2 Data Set Selection and Analysis
4 Results and Discussions
4.1 Book Recommendation Engine
4.2 Movie Recommendation
5 Conclusion and Future Work
6 Appendix
References
Extractive Summarization of Indian Legal Documents
1 Introduction
2 Methodology
2.1 Dataset Description
2.2 Techniques
2.3 Summary Evaluation
3 Experimental Results and Analysis
4 Discussion
5 Conclusion and Future Work
References
Privacy Enhanced Registered Devices for Fine-Grained Access Control
1 Introduction
2 Related Work
3 Preliminaries
3.1 Bilinear Pairings
3.2 Decisional Bilinear Diffie-Hellman (DBDH) Assumption
3.3 Strong Extended Diffie-Hellman (S-EDH) Assumption
3.4 Access Structure
4 Our Construction
4.1 Attribute Management Authority of India (AMAI)
4.2 Attribute Service Providers (ATSP)
4.3 Attribute-based Private Key
4.4 Token Generation
4.5 Privacy Enhanced Token-based Device Signature
4.6 Signature Verification
5 Security Analysis
5.1 Privacy
5.2 Unforgeability
6 Performance Analysis
7 Conclusion and Future Work
References
Stratification of the Lesions in Color Fundus Images of Diabetic Retinopathy Patients Using Deep Learning Models and Machine Learning Classifiers
1 Introduction
2 Related Work
3 Method
3.1 VGG16
3.2 VGG19
3.3 Inception V3
3.4 Transfer Learning
4 Experimental Results and Discussions
4.1 Dataset Collection and Pre-processing
4.2 Evaluation Metrics
4.3 Classifiers and Energy Function Used
4.4 Performance Evaluation
5 Conclusion
References
BER Analysis of Massive MIMO in Heterogeneous Cellular Network
1 Introduction
1.1 Femto Cell Networks
2 System Model
2.1 Calculation of SNR
2.2 Capacity of MIMO Wireless System
2.3 BER Calculation in Wireless Communication System
2.4 Beam Forming
3 Results and Discussion
4 Conclusion
References
ALO-SBD: A Hybrid Shot Boundary Detection Technique for Video Surveillance System
1 Introduction
2 Background Knowledge of Feature Extraction
2.1 Color Histogram Difference
2.2 Normalized: 3D Euclidean Standard Deviation (SD)
2.3 Color Difference: CIEDE 2000
3 Weights Optimization of FNN
3.1 Ant Lion Optimization
4 Proposed Method
4.1 Features Extraction
4.2 Recognition of Possible Transition Frames
4.3 Continuity Matrix Generation (f)
4.4 Identification of Shot Transitions
5 Experimental Results and Discussion
5.1 Dataset
5.2 Performance Evaluation
5.3 Threshold Selection
5.4 Comparison
6 Conclusion and Future Work
References
Fair Trading of Crops in a Trusted and Transparent Manner using Smart Contracts
1 Introduction
2 Related Work
3 Proposed Framework
3.1 Smart Contracts
4 Experiments and Results
4.1 Implementation Details
4.2 Performance Analysis
5 Conclusion
References
Stochastic Based Part of Speech Tagging in Mizo Language: Unigram and Bigram Hidden Markov Model
1 Introduction
2 Related Works
3 Proposed System Description
3.1 Data Collection
3.2 Preprocessing
3.3 Tokenization
3.4 Development of Tagset
3.5 Building the Mizo Corpus
3.6 Development of Stochastic Based Tagging System
4 Experimental Results and Analysis
4.1 Tagset Distribution in the Corpus
4.2 Transition Probabilities
4.3 Accuracy of the Taggers
5 Conclusion and Future Works
References
An Approach to Analyze Rumor Spreading in Social Networks
1 Introduction
2 Analyzing Methodology
2.1 Fixing Node Position
2.2 Rumor Spread Simulation
2.3 Quantification of Rumor Spread
2.4 Aggregation and Analysis
3 Experimental Analysis
3.1 Experimental Setup
3.2 Dataset Details
3.3 Result Analysis
4 Discussion
5 Conclusion and Future Direction
References

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Edge Analytics

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