Modelling and Implementation of Complex Systems

Name: Modelling and Implementation of Complex Systems | Proceedings of the 6th International Symposium, MISC 2020, Batna, Algeria, October 24-26, 2020
Brand: Springer
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Proceedings of the 6th International Symposium, MISC 2020, Batna, Algeria, October 24-26, 2020

Salim Chikhi Abdelmalek Amine Allaoua Chaoui Djamel Eddine Saidouni Mohamed Khireddine Kholladi(Editor)

Springer (Publisher)

Published on 5. September 2020

XV, 310 pages

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978-3-030-58861-8 (ISBN)

€181.89incl. 7% vat

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Content

Intro
Preface
Organization
Honorary Chairs
General Chairs
Steering Committee
Organizing Committee Chairs
Organizing Committee
Publication Chairs
Publicity and Sponsor Chairs
Program Committee Chairs
Program Committee
Co-editors
Additional Reviewers
Contents
Cloud Computing, Networking and IoT
Dynamic Replication Based on a Data Classification Model in Cloud Computing
1 Introduction
2 Related Work
3 The Proposed Replication Strategy
3.1 Creation
3.2 Classification
3.3 Viral Data Checking Module
3.4 Liberation
4 Implementation and Experimentation
4.1 Experimental Study
4.2 Simulation Parameters
4.3 Experimental Results and Analysis
5 Conclusion
References
EECORONA: Energy Efficiency Coordinate and Routing System for Nanonetworks
1 Introduction
2 Application Context and System Model
2.1 Application Context
2.2 Terahertz Band
2.3 Energy Harvesting Model
2.4 Energy Consumption Model
3 Assigning of Addresses and Routing System
3.1 Coordinate Geolocation Address System
3.2 Routing Phase
4 Performance Evaluation
4.1 Evaluating Metrics and Performance Scenarios
4.2 Simulation Setup and Assumptions
4.3 Results and Analysis
5 Conclusion
References
Communication-Flow Privacy-Preservation in 6LoWPANs-Based IoT Networks
1 Introduction
2 IPv6 Low Power Wireless Personal Area Network (6LoWPAN)
3 Communication Privacy
3.1 Privacy Definitions
3.2 Communication Privacy Preservation Techniques (CPPT)
3.3 Anonymous Communication in the IoT
4 Main Contributions
5 Summary of Main Contributions
6 Conclusion
References
Workflow Security Scheduling Strategy in Cloud Computing
1 Introduction
2 Related Work
3 System Model and Assumptions
4 Proposed System
4.1 Pre-scheduler
4.2 Security Enhancement Module
4.3 Post-Scheduler
5 Performance Evaluation and Results
5.1 Impact of the Security Level on the Cost
5.2 Impact of the Security Level on the Deadline
6 Conclusion
References
An Optimized Energy-Efficient Mission-Based Routing Protocol for Unmanned Aerial Vehicles
1 Introduction
2 Related Works
3 Proposed Protocol
3.1 Mathematical Modeling of PDR and EC Performances Using RSM Methodology
3.2 Modelling of Thello as a Function of Vmax, N, and Tx
4 Experimental Evaluation and Discussion of Results
4.1 Metrics
4.2 Experimental Parameter Settings
4.3 Results and Discussion
5 Conclusions
References
Dynamic Clustering Based Energy Optimization for IoT Network
1 Introduction
2 Related Works
2.1 Single-hop Approaches
2.2 Muti-hop Approaches
3 Network Modelling and Rechargeable Battery Degradation Model
3.1 Calendar Aging
3.2 Cycle Aging
4 Proposed Approach
4.1 Neighbors Discovery
4.2 Clusters Formation
4.3 Maintenance Phase
5 Simulation
5.1 Experimental Results
6 Conclusion
References
Machine Intelligence and Data Science
Comparative Analysis of Machine Learning Algorithms for Early Prediction of Diabetes Mellitus in Women
1 Introduction
2 Related Work
3 Methodology
3.1 Dataset
3.2 Preprocessing
3.3 Machine Learning Algorithms for Prediction
4 Experimental Results and Discussion
5 Conclusion
References
Sentiment Analysis in Google Play Store: Algerian Reviews Case
1 Introduction
2 Related Work
3 Proposition: Sentiment Analysis of Algerian App Store Reviews
3.1 Language Detection
3.2 Machine Learning Approach
3.3 Lexicon-Based Approach
4 Experiments
4.1 Data Collection
4.2 Machine Leaning Approach
4.3 Lexicon-Based Approach
5 Conclusion
References
Meta-learning to Select the Best Metaheuristic for the MaxSAT Problem
1 Introduction
2 Algorithm Selection Problem
3 Meta-features for MaxSAT
4 Experimental Framework
4.1 Set of Metaheuristics
4.2 Set of Instances
4.3 Meta-learning Process
5 Tests and Results
5.1 Metaheuristics' Parameters
5.2 Data Acquisition and Preparation
5.3 Evaluation of the Recommendation Algorithm
6 Conclusion
References
Ontological Relation Classification Using WordNet, Word Embeddings and Deep Neural Networks
1 Introduction
2 Related Work
3 Proposed Approach
3.1 Building the Dataset
3.2 Learning Model
4 Experiments and Results
4.1 Experiment 1: Full Unbalanced Dataset
4.2 Experiment 2: Hypernymy, Part Holonymy, Antonymy and Synonymy Classes
4.3 Experiment 3: Binary Classification - Hypernymy or Non-hypernymy Class
5 Discussion
6 Conclusion
References
Gender Identification from Arabic Speech Using Machine Learning
1 Introduction
2 Acoustic Features
2.1 Intensity
2.2 Zero-Crossing Rate
2.3 Fundamental Frequency
2.4 Mel Frequency Cepstral Coefficients (MFCC)
2.5 Probability of Voicing
2.6 Line Spectral Frequency (LSP)
3 Related Works
4 Arabic Natural Audio Dataset (ANAD)
4.1 Dataset Description
4.2 Modified Version
5 Methodology
6 Experiments Results
6.1 Stage One
6.2 Stage Two
6.3 Stage Three
7 Conclusion and Future Work
References
Face Recognition Based on Harris Detector and Convolutional Neural Networks
1 Introduction
2 Related Work
3 Proposed Method
4 Experiments and Results
5 Conclusion
References
Softcomputing and Optimization
Quality Preserved Color Image Compression Using Particle Swarm Optimization Algorithm
1 Introduction
2 Related Work
3 Proposed Method
3.1 Color Space Design
3.2 Discrete Wavelet Transform (DWT)
3.3 Thresholds Optimization
3.4 Quantization
3.5 Lossless Encoder
3.6 Performance Criteria
4 Results and Performance Comparison
5 Conclusion
References
A Simple Yet Effective Convolutional Neural Network Model to Classify Facial Expressions
1 Introduction
2 Related Works
3 Facial Expression Recognition System
3.1 Convolutional Neural Network
3.2 Data Collection
3.3 Image Pre-Processing
4 Experiments and Discussions
5 Conclusion and Future Work
References
Materialized View Selection Using Discrete Quantum Based Differential Evolution Algorithm
1 Introduction
2 Related Work
3 Background
3.1 Lattice Framework
3.2 Space-Constrained MVS Problem
3.3 Quantum Inspired Evolutionary Algorithm Overview
3.4 Differential Evolution
4 QDE Algorithm
4.1 Solution Representation
4.2 Q-Bit Representation
4.3 Quantum Interference Application
4.4 Discrete Vs Continuous Search Space
4.5 Dealing with Unfeasible Solutions
4.6 The ``Reset'' Operator
5 Experimental Results
6 Conclusion
References
Context-Aware Based Evolutionary Collaborative Filtering Algorithm
1 Introduction
2 Related Work
3 Methodology
3.1 GA-Based Meta-heuristic to Learn Optimal Weight Vector
3.2 Genetic Representation
3.3 Fitness Functions
3.4 Genetic Operators
3.5 Termination Condition
4 System Description
5 Results and Discussion
5.1 Dataset
5.2 Evaluation Metrics
5.3 Experiment 1: Impact of the Population Size
5.4 Experiment 2: Impact of the Crossover Probability
5.5 Experiment 3: Impact of the Mutation Probability
5.6 Experiment 3: Evaluation of the Proposed Weighting Function
6 Conclusion
References
A Rule Based Human Skin Detection Method in CMYK Color Space
1 Introduction
2 Related Works
3 The Proposed Method
4 Experimental Results
5 Conclusion
References
Improved NSGA-II for Minimum Weight Minimum Connected Dominating Set Problem
1 Introduction
2 Related Work
3 The Minimum Weight Minimum Connected Dominating Set Problem
4 NSGA-II Algorithm
4.1 Offspring Production
4.2 New Population Selection
5 Greedy Heuristics for the MWMCDS Problem
6 The Proposed Algorithm I-NSGA-II
6.1 Initial Solution
6.2 Local Search Method
6.3 Progress of I-NSGA-II Algorithm
7 Experiments and Results
7.1 Experiments
7.2 Results
8 Conclusion
References
Ontology Matching Using Neural Networks: Evaluation for OAEI Tracks
1 Introduction
2 Related Work
3 Overview of the Approach
4 Experiments
4.1 Experimental Design
4.2 Experimental Results
4.3 Experimental Summary
5 Conclusion
References
Software Technology and Model Transformations
Transforming UML Diagrams to YAWL Models for Business Processes Analysis
1 Introduction
2 Related Works
3 Background
3.1 UML Activity Diagram
3.2 YAWL
3.3 Meta-modeling and Graph Transformation in AToM3
4 The Proposed Approach
4.1 Activity Diagrams Meta-model
4.2 Meta-model of YAWL Models
4.3 Transformation Rules
4.4 The First Graph Grammar, UML-AD to YAWL
4.5 The Second Proposed Graph Grammar, YAWL to Text
5 Example
6 Conclusion
References
Configuration-Dependent Stochastic Reward Nets
1 Introduction
2 Stochastic Reward Nets
3 Configuration-Dependent Stochastic Reward Nets
4 Transformation of CD-SRNs into Basic SRNs
5 Proofs
6 Illustrative Example
7 Conclusion
References
Author Index

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Modelling and Implementation of Complex Systems

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