Distributed Computing and Intelligent Technology: 19th International Conference, ICDCIT 2023, Bhubaneswar, India, January 18–22, 2023, Proceedings

Preface
Organization
Abstracts of Invited Talks
	Correctness Conditions for Cross-Chain Transactions
	Harnessing Concurrency in Multicore Systems
	From File Transfers to Streaming: Enabling Distributed Science in the Exascale Era
	Three Vignettes from the Distributed Trust Paradigm of Computing
	Machine Learning for Emotion Prediction, Ideology Detection and Polarization Analysis Using COVID-19 Tweets
	AI for Personalized Education
	Attention-Based Representational Learning for Social Network Analysis
	Contents
Distributed Computing
Filling MIS Vertices of a Graph by Myopic Luminous Robots
	1 Introduction
		1.1 Motivation
		1.2 Related Works
		1.3 Contributions
	2 Model
	3 Algorithm for MIS Filling with Single Door
		3.1 Preliminaries
		3.2 IND Algorithm
		3.3 Analysis of IND Algorithm
	4 Algorithm for MIS Filling with Multiple Doors
		4.1 The MULTIND Algorithm
		4.2 Analysis of MULTIND Algorithm
	5 Discussion
	6 Conclusion
	References
WANMS: A Makespan, Energy, and Reliability Aware Scheduling Algorithm for Workflow Scheduling in Multi-processor Systems
	1 Introduction
	2 Systems Model and Problem Formulation
	3 Proposed Scheduling Algorithm
		3.1 Task Ordering
		3.2 Processor Allocation
		3.3 Analysis Based on the Parameters of Algorithm 1
		3.4 Complexity Analysis
	4 Experimental Evaluation
		4.1 Task Graphs
		4.2 Experimental Setup
		4.3 Algorithms Compared
		4.4 Experimental Description
		4.5 Experimental Result with Discussions
	5 Concluding Remarks
	References
Multiple Criteria Decision Making-Based Task Offloading and Scheduling in Fog Environment
	1 Introduction
	2 System Model
		2.1 Task Offloading and Scheduling Model
		2.2 Delay Model
		2.3 Energy Model
		2.4 Reliability Model
	3 Proposed Method
		3.1 Evaluate Relative Weights Using EWM
		3.2 TOPSIS for Ranking the FNs
	4 Migration
	5 Results and Discussions
		5.1 Task Offloading
		5.2 Task Scheduling
		5.3 Complexity
	6 Conclusion
	References
Static Data Race Detection in Multi-task Programs for Industrial Robots
	1 Introduction
	2 Related Work
	3 Multi-task Industrial Robot Programs: An Overview
		3.1 Data Races in Multi-task Programs
	4 Semantics of Multi-task Programs and Data Races
		4.1 Data Races in Multi-task Programs
	5 Static Race Detection Algorithm
		5.1 Rules for Checking Occurs-in-Between Property
		5.2 Proof of Soundness of the Rules
		5.3 Implementation
	6 Experimental Results
	7 Conclusion and Future Work
	References
Ordered Scheduling in Control-Flow Distributed Transactional Memory
	1 Introduction
	2 Model and Preliminaries
	3 Impossibility Result
	4 Offline Algorithms
	5 Partial Dynamic Algorithm
	6 Fully Dynamic Algorithm
	7 Evaluation
	8 Concluding Remarks
	References
Fault-Tolerant Graph Realizations in the Congested Clique, Revisited
	1 Introduction and Related Work
	2 Model and Definitions
	3 Preliminary: The Havel-Hakimi Algorithm
	4 Graph Realization with Faults
		4.1 Algorithm
		4.2 Lower Bound
	5 Conclusion and Future Work
	References
A Perspective of IP Lookup Approach Using Graphical Processing Unit (GPU)
	1 Introduction
	2 Related Works
	3 Proposed Solution for GPU Based IP Lookup
	4 Results and Discussion
	5 Conclusion
	References
Intelligent Technology
MCMARS: Hybrid Multi-criteria Decision-Making Algorithm for Recommender Systems of Mobile Applications
	1 Introduction
	2 Related Work
	3 Proposed Mobile App Recommender System (MCMARS) Design
		3.1 Data Extraction and Classification
		3.2 Criterion Generation
		3.3 Recommendation Methodology
	4 Validation of MCMARS with COVID-19 Mobile Apps
	5 Results and Discussion
		5.1 Criteria Analysis
		5.2 Comparison of Proposed Method with Other MCDM Techniques
	6 Conclusion and Future Work
	References
Opinion Maximization in Signed Social Networks Using Centrality Measures and Clustering Techniques
	1 Introduction
	2 Related Work
	3 Proposed Approaches of OM
		3.1 Diffusion Model
		3.2 Centrality Measures Based Approach
		3.3 Community Detection Based Approach
		3.4 Centrality Measures and Community Structure Based Approach
		3.5 Example Network
	4 Experimental Results
		4.1 Datasets
		4.2 Parameters
		4.3 Experiments
		4.4 Results
		4.5 Inferences
	5 Conclusions
	References
Detection of Object-Based Forgery in Surveillance Videos Utilizing Motion Residual and Deep Learning
	1 Introduction
	2 Related Works
	3 Proposed Method
		3.1 Motion Residual Extraction
		3.2 Deep Learning Model
	4 Experimental Results and Discussion
		4.1 Evaluation Parameters and Experimental Results
		4.2 Comparison with State-of-the-Art
	5 Conclusion
	References
Mapped-RRT* a Sampling Based Mobile Path Planner Algorithm
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Combined Sensor Calibration
		3.2 Simultaneous Mapping with Path Search
		3.3 Algorithmic Description of Mapped-RRT* (Rapidly Exploring Random Trees with Simultaneous Mapping)
	4 Experiment Analysis and Results
		4.1 Combined Visual Data Perception
		4.2 Environment Mapping Results
		4.3 Comparative Analysis of Proposed Method with Conventional Techniques
	5 Conclusion
	References
Intelligent Optimization Algorithms for Disruptive Anti-covering Location Problem
	1 Introduction
	2 Problem Definition
	3 DDE Approach for DACLP
		3.1 Solution Representation and Fitness
		3.2 Generating Initial Population
		3.3 DDE Framework
		3.4 Mutation
		3.5 Crossover
		3.6 Repair
		3.7 Population Replacement Model
	4 GA Approach for DACLP
		4.1 Solution Representation and Fitness
		4.2 Initial Solution Generation
		4.3 Selection
		4.4 Crossover
		4.5 Mutation
		4.6 Population Replacement Model
		4.7 Local Search
	5 Experimental Results
	6 Conclusions and Future Work
	References
Enhancing Robustness of Malware Detection Model Against White Box Adversarial Attacks
	1 Introduction
	2 Related Work
	3 Background and Preliminaries
		3.1 Deep Neural Network (DNN) Based Models
		3.2 Adversarial Attack
		3.3 Existing Mitigation Techniques Against White-Box Attack
	4 Proposed Approach
		4.1 System Model
		4.2 Malware Detection and Classification Model
		4.3 Attack Model
		4.4 Adversarial Defense Model
		4.5 System Security Model
	5 Experiments and Results
		5.1 Datasets
		5.2 Performance of Malware Detection and Classification Model
		5.3 Threat of FGSM Attack
		5.4 Defensive Capabilities of Various Mitigation Methods
	6 Conclusion
	7 Future Work
	References
Early Detection of Covid Using Spectral Analysis of Cough and Deep Convolutional Neural Network
	1 Introduction
	2 Literature Review
	3 Proposed System
		3.1 Preprocessing
		3.2 Dynamic Feature Extraction
		3.3 Prediction and Classification
	4 Implementation Methodology
		4.1 Activation ReLU
		4.2 Dense Layer
		4.3 Sigmoid Activity
		4.4 Dropout Layer
		4.5 Convolution Layer
		4.6 Max-Pool
		4.7 Training and Validation
	5 Results and Discussion
	6 Conclusion
	References
Analysis of Tweets with Emoticons for Sentiment Detection Using Classification Techniques
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Data Gathering
		3.2 Data Preprocessing
		3.3 Model Training
		3.4 Result Validation
		3.5 Results and Inferences
	4 Algorithms Used
		4.1 Bernoulli Naive Bayes
		4.2 Linear Support Vector
		4.3 Logistic Regression
		4.4 XGBoost
	5 Discussion
	6 Conclusion and Future Work
	References
Fine-Tuning of Multilingual Models for Sentiment Classification in Code-Mixed Indian Language Texts
	1 Introduction
	2 Related Literature
	3 Methodology
		3.1 Baseline
		3.2 Transformer Architecture
		3.3 Cross-Lingual Language Model (XLM)
	4 Experimental Setup
		4.1 Dataset
		4.2 Comparision on Existing Methods
		4.3 XLM Model
		4.4 XLM Optimisation by Fine Tuning Parameters on Kannada-English Dataset
	5 Results and Discussion
		5.1 Performance of Various ML Methods
		5.2 Evaluation of Model's Performance on Different Types of Code-Switching
	6 Conclusion and Future Work
	References
Landslide Classification Using Deep Convolutional Neural Network with Synthetic Minority Oversampling Technique
	1 Introduction
	2 Related Studies
	3 Materials and Methods
		3.1 Dataset
		3.2 Normalization
		3.3 Oversampling
		3.4 Baselines
	4 Proposed Approach
	5 Experiment
	6 Results and Discussion
	7 Conclusions
	References
ALPR - An Intelligent Approach Towards Detection and Recognition of License Plates in Uncontrolled Environments
	1 Introduction
	2 Materials
		2.1 You Only Look Once (YOLO)
		2.2 Spatial Transformer Network
	3 Proposed Methodology
		3.1 License Plate Detection
		3.2 Spatial Transformer Network (STN)
		3.3 Character Recognition
	4 Results and Discussion
		4.1 Data Sets Description
		4.2 Result Analysis
	5 Conclusion
	References
Towards Railway Cable Infrastructure Protection: Turning Cross-Sectional Explorative Analytics to Answers
	1 Introduction
		1.1 Research Questions and Contributions
	2 Introduction
		2.1 Railway Infrastructure Protection Overview
		2.2 State-of-the-Art
		2.3 Expectation Maximisation Clustering
	3 Proposed Smart Cross-Sectional Explorative Analytics for RCIP
		3.1 Problem Definition
		3.2 Smart Cross-Sectional Explorative Analytics Detection Model
	4 Experimental Evaluations
		4.1 Experimental Setup
		4.2 Experiment 1: Real-Life Cable Behaviour from Multiple Sensors
		4.3 Experiment 2: Cable Behaviour Analytics Using Publicly Available Sensors Data
		4.4 Performance Evaluations
	5 Concluding Remarks
	References
Designing an Intangible Tele-Interaction for Point-to-Point Robot Control Using Coercive Gesture Filtering
	1 Introduction
		1.1 Intangible Teleoperated Control System
		1.2 Leap Motion
	2 Related Works
	3 Methodologies
		3.1 Technical Set-Up
		3.2 Data Fetching
		3.3 Data Transmission
		3.4 Filtering Coercive Gestures
	4 Experiment and Result Analysis
	5 Conclusion
	References
Sentiment Analytics for Crypto Pre and Post Covid: Topic Modeling
	1 Introduction
	2 Literature Survey
	3 Data and Methodology
	4 Results
	5 Conclusion and Discussion
	References
A Rough Set Based Approach to Compute Impact of Non Academic Parameters on Academic Performance
	1 Introduction
	2 Literature Review
	3 Descriptive Statistical Analysis and Hypothesis Testing
	4 Rough Set Based Approach to Compute Most Affecting Parameters
		4.1 Regression Model
		4.2 Rough Set Model
		4.3 Proposed Algorithm for Feature Reduction
		4.4 Results
	5 Density Based Clustering Approach
	6 Conclusions
	References
Varta Rasa - A Simple and Accurate System for Emotion Recognition in Conversations
	1 Introduction
	2 Proposed Varta Rasa Architecture
	3 Experimental Setting
	4 Results and Discussion
	5 Conclusion
	References
An Optimal Approach for Multi-class Object Detection
	1 Introduction
	2 Related Work
	3 Methodology
	4 Result and Analysis
	5 Conclusion
	References
Performance Analysis of Routing Protocol for Low Power and Lossy Networks (RPL) for IoT Environment
	1 Introduction
	2 Related Work
	3 Proposed Work
	4 Simulation and Network Setup
	5 Results and Analysis
	6 Conclusion and Future Scope
	References
A Novel Image Steganography Technique Using AES Encryption in DCT Domain
	1 Introduction
		1.1 Discrete Cosine Transform
	2 Relevant Work
	3 Proposed Technique
		3.1 Embedding
		3.2 Extraction
	4 Results
		4.1 Tables
	5 Conclusion
	References
Text Classification Using Correlation Based Feature Selection on Multi-layer ELM Feature Space
	1 Introduction
	2 Methodology
	3 Analysis of Experimental Results
		3.1 Discussion
	4 Conclusion and Future Work
	References
Multi-objective Pelican Optimization Algorithm for Engineering Design Problems
	1 Introduction
	2 Pelican Optimization Algorithm
	3 The Proposed MOPOA
	4 Results and Discussions
		4.1 Four-bar Truss Design Problem
		4.2 Speed Reducer Design Problem
	5 Conclusion
	References
Prediction of Accident and Accident Severity Based on Heterogeneous Data
	1 Motivation
	2 Previous Work
	3 Proposed Solution
	4 Materials, Procedure
	5 Results
	6 Conclusion
	7 Limitations and Future Scope
	References
Author Index