Computational Intelligence and Its Applications

Name: Computational Intelligence and Its Applications | 6th IFIP TC 5 International Conference, CIIA 2018, Oran, Algeria, May 8-10, 2018, Proceedings
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6th IFIP TC 5 International Conference, CIIA 2018, Oran, Algeria, May 8-10, 2018, Proceedings

Abdelmalek Amine Malek Mouhoub Otmane Ait Mohamed Bachir Djebbar(Editor)

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Published on 26. April 2018

XXIV, 670 pages

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978-3-319-89743-1 (ISBN)

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Content

Intro
Preface
Organization
Abstracts of Invited Talks
Plagiarizing Nature for Engineering Analysis and Design (Extended Abstract)
Model Based Software Management (Extended Abstract)
Contents
Advanced Technology and Social Media Influence on Research, Industry and Community
Abstract
1 Introduction
2 Partial Mentioning of Our Achievements
References
Data Mining and Information Retrieval
Basketball Analytics. Data Mining for Acquiring Performances
1 Introduction
2 Related Works
3 Data
4 Data Mining Tasks for Basket Ball Analysis
4.1 Clustering
4.2 Classification
4.3 Prediction
5 Tests and Results
5.1 Clustering
5.2 Classification
5.3 Performance Prediction
6 Conclusions
References
Similarity Measures for Spatial Clustering
1 Introduction
2 Static Approach
3 Similarity Distances for a Dynamic Approach
4 Clustering Algorithms
4.1 Partitioning Methods
4.2 Hierarchical Methods
4.3 Density Based Methods
5 Tests and Results
5.1 Dynamic vs Static K-means
5.2 Comparison of K-meansstatic, K-meansdDyn1 and K-meansdDyn2
5.3 Dynamic K-means vs DBSCAN and CAH
6 Conclusions
References
Computational Ontologies for a Semantic Representation of the Islamic Knowledge
1 Introduction
2 Arabic Linguistics
3 Arabic Legislative Sources
4 Islamic Ontologies
4.1 Quranic Ontologies
4.2 Hadith Ontologies
4.3 Islamic Legal Rulings Ontologies
5 Our Project
6 Results
6.1 Our Ontological Model
7 Future Work
8 Conclusion
References
A Parallel Implementation of GHB Tree
1 Introduction
2 Background
3 The Proposed GHB-tree
4 Experiments and Comparison
5 Conclusion
References
Leveraging Web Intelligence for Information Cascade Detection in Social Streams
1 Introduction
2 Problem Formulation
3 Proposed Approach
4 Experiments and Results
4.1 Results and Discussion
5 Conclusion
References
Understanding User's Intention in Semantic Based Image Retrieval: Combining Positive and Negative Examples
1 Introduction
2 Related Works
3 Principle of Our Algorithm
4 Data and Hypothesis
4.1 Query Formulation
4.2 Ontology Creation
5 Our Algorithm
6 Experimental Evaluation
6.1 Images Collection
6.2 Experiments
7 Conclusion
References
Exploring Graph Bushy Paths to Improve Statistical Multilingual Automatic Text Summarization
1 Introduction
2 Related Works
3 Method Overview
3.1 Preprocessing
3.2 Candidate Sentences Generation
3.3 Sentence Scoring
3.4 Extraction
4 Experiments
4.1 Metrics
4.2 Corpora
4.3 Baseline System
4.4 Tests and Discussion
5 Conclusion
References
Evolutionary Computation
Hybrid Artificial Bees Colony and Particle Swarm on Feature Selection
Abstract
1 Introduction
2 Background and Related Work
2.1 Artificial Bees Colony
2.2 Particle Swarm Optimization
2.3 Genetic Algorithm
2.4 Related Work
3 Proposed Hybrid Feature Selection Method
3.1 Hybrid ABC-PSO Algorithm
3.2 Hybrid ABC-GA Algorithm
4 Experimental Results
4.1 Databases
4.2 Parameters Setting of FS Algorithms
5 Discussions
6 Conclusions
References
An Efficiency Fuzzy Logic Controller Power Management for Light Electric Vehicle Under Different Speed Variation
1 Introduction
2 Light Electric Vehicle Description
3 Fuel Cell Static Model
4 Direct Torque Control Strategy Based Space Vector Modulation (SVM-DTC)
5 Energy Management Strategies
6 The Rule Based Fuzzy Logic Strategy
7 Simulation Results
7.1 Direct Torque Control Scheme with Space Vector Modulation
7.2 Fuzzy Logic Controller Power Management for 2WDES
8 Conclusion
References
A New Handwritten Signature Verification System Based on the Histogram of Templates Feature and the Joint Use of the Artificial Immune System with SVM
1 Introduction
2 Proposed Signature Verification System
2.1 Histogram Of Templates
2.2 Artificial Immune Recognition System
2.3 The Joint Use AIRS-SVM
3 Experimental Results
4 Conclusion
References
Improved Quantum Chaotic Animal Migration Optimization Algorithm for QoS Multicast Routing Problem
1 Introduction
2 Multicast Routing Problem Formulation
3 Animal Migration Optimization AMO
4 IQCAMO for QoS Multicast Routing
4.1 Improved Quantum Chaotic AMO Algorithm
4.2 Representation of the Solution
4.3 Initial Population
5 Simulation Results
5.1 Results of the First Scenario
5.2 Results of the Second Scenario
5.3 Results of the Third Scenario
5.4 Friedman Test
6 Conclusion
References
Developing a Conceptual Framework for Software Evolution Methods via Architectural Metrics
1 Introduction
2 Proposed Framework
2.1 Framework Dimensions
3 Case Study
3.1 Metric Calculations
3.2 Framework Assessment
4 Discussion
5 Conclusion
References
A Study on Self-adaptation in the Evolutionary Strategy Algorithm
Abstract
1 Introduction
2 Evolution Strategies
2.1 Pseudo Code for Evolutionary Algorithms
3 Mutation and Parameter Control
3.1 Deterministic Parameter Control
3.2 Adaptive Parameter Control
3.3 Self-adaptation
4 Next Generation Selection Strategies
5 Mutation Operators
5.1 Uncorrelated Mutation with One Step Size (Type 1)
5.2 Uncorrelated Mutation with Individual Step Size (Type 2)
5.3 Correlated Mutation (Type 3)
6 Numerical and Equations Experiments
6.1 Algorithm Parameters Used for Experiments
6.2 Behavior in Higher-Dimensional Search Spaces
6.3 Behaviors for Multi-modal Objective Functions
7 Conclusion and Future Work
References
Swarm Intelligence Algorithm for Microwave Filter Optimization
Abstract
1 Introduction
2 Swarm Intelligence Algorithm
2.1 Particle Swarm Optimization
2.2 Spider Monkey Optimization Algorithm
2.3 Social Spider Optimization Algorithm
2.4 Teaching Learning Based Optimization
3 Comparison of Optimization Techniques
4 Application Example and Results
5 Conclusion
References
Innovation Diffusion in Social Networks: A Survey
Abstract
1 Introduction
2 The Diffusion of Innovation
2.1 Adoption Rate
2.2 Cycle of Innovation Diffusion
3 Mathematical Models
3.1 Logistic Model
3.2 Gompertz Model
3.3 Bass Model
3.4 Discussion
4 Social Networks Models
4.1 Threshold Model
4.2 Epidemic Approach
4.3 Evolutionary Model
4.4 Discussion
5 Summary
6 Conclusion
References
An Efficient Cooperative Method to Solve Multiple Sequence Alignment Problem
Abstract
1 Introduction
2 Background
3 Preliminaries
3.1 Outline of the Particle Swarm Optimization (PSO)
3.2 Outline of the Simulated Annealing (SA)
4 Proposed Method
4.1 PSO Components of MSA Problem
4.2 SA Components of MSA Problem
5 Simulation and Results
6 Conclusion
References
Machine Learning
Automatic Ontology Learning from Heterogeneous Relational Databases: Application in Alimentation Risks Field
Abstract
1 Introduction
2 Related Work
3 Semantic Approach for Automatic Ontology Learning
3.1 Generate Classes Process
3.2 Generate Datatype Properties Process
3.3 Generate Object Properties Process
3.4 Generate Instances Process
3.5 Ontology Evolution Process
4 Experimentation
5 Conclusion
References
Towards the Prediction of Multiple Soft-Biometric Characteristics from Handwriting Analysis
1 Introduction
2 Multiclass Prediction of Soft-Biometrics
2.1 Dataset Description
2.2 Multiclass Soft-Biometrics Prediction Based on Individual Systems
2.3 Multiclass Soft-Biometrics Prediction Based on One-Against-All SVM
3 Experimental Evaluation
3.1 Prediction Based on Individual Systems
3.2 Prediction Based on the OAA SVM
4 Concluding Remarks
References
Gearbox Fault Diagnosis Based on Mel-Frequency Cepstral Coefficients and Support Vector Machine
1 Introduction
2 Description of the Proposed Method
3 Features Extraction Based on MFCC
4 Data Classification by SVM
5 Results and Discussion
5.1 Experimental Setup
5.2 Experimental Verification
6 Conclusion
References
A Modified Firefly Algorithm with Support Vector Machine for Medical Data Classification
Abstract
1 Introduction
2 Background
2.1 Support Vector Machines
2.2 Binary Firefly Algorithm
3 The Proposed Method for Feature Selection and Classification
3.1 Fireflies Representation and Initialization
3.2 Objective Function
3.3 The Attractiveness of Fireflies
3.4 The Movement of Fireflies
4 Experiments
4.1 Dataset
4.2 Parameter Settings
4.3 Numerical Results
5 Conclusion
Acknowledgments
References
Ensemble Learning for Large Scale Virtual Screening on Apache Spark
Abstract
1 Introduction
2 Related Works
3 Methods and Materials
3.1 Machine Learning Algorithms
3.2 Apache Spark for Big Data Machine Learning
3.3 The Chemistry Development Kit
4 Proposed Approach
5 Experimental Results
5.1 Dataset Generation
5.2 Results and Discussion
6 Conclusion and Future Work
References
Trace Based System in TEL Systems: Theory and Practice
1 Introduction
2 Activity Traces in TEL Systems
3 Trace Based System
4 Case Studies: Indicator Computations Using TBS
4.1 Short Presentation of the Used Kernel Trace Based System (KTBS)
4.2 Trace Based Indicator Management System TB-IMS
4.3 A Multi-agent System to Compute Human Learning Indicators Activities
5 Conclusion
References
Using a Social-Based Collaborative Filtering with Classification Techniques
Abstract
1 Introduction
2 Related Work
3 A Social-Based CF Approach
3.1 The User-User Based Collaborative Filtering (CF)
3.2 The Social Filtering (SocF)
3.2.1 Friendship Metric
3.2.2 Commitment Degree
3.2.3 Trust Degree
4 Combining SBCF Approach and Classification Techniques
4.1 Unsupervised Classification Using Incremental K-means
4.1.1 Collaborative Incremental K-means (Col-Inc-K-means)
4.1.2 Social Incremental K-means (Soc-Inc-K-means)
4.2 Supervised Classification Using K-NN Algorithm
5 Recommendation Algorithm
5.1 SBCF Algorithm
5.2 Recommendation Algorithm Using SBCF and Classification
6 Evaluation
6.1 Dataset
6.2 Evaluation Metrics
6.3 Evaluation Results
7 Conclusion
References
Flexibility in Classification Process
Abstract
1 Introduction
2 Combinatory Logic and Typed Applicative Systems
3 Formal Model
4 Application of the Approach
5 Conclusion
References
An Evolutionary Scheme for Improving Recommender System Using Clustering
1 Introduction
2 Related Works
3 Partitioning Based Genetic Algorithm
3.1 Encoding and Decoding Phase
3.2 Fitness Function
4 Experiments
4.1 Dataset Description
4.2 Evaluation Measure
4.3 Experimental Design
4.4 Analyzing Neighbor Size Parameter
4.5 Analyzing Recommendation Length Parameter
5 Conclusion
References
Drug-Target Interaction Prediction in Drug Repositioning Based on Deep Semi-Supervised Learning
1 Introduction
2 Drug Repositioning
3 In Silico Methods for Drug Reprofiling
4 Materials and Methods
4.1 Data Preparation
4.2 Drug-Target Representation
4.3 DeepSS-DTIs: The Proposed Method for Drug Repositioning
5 Experimental Results
5.1 Measurement of Prediction Quality
5.2 Cross-Validation Results
6 Predicting New Drug-Target Interactions
7 Conclusion and Future Work
References
Optimization
FA-SETPOWER-MRTA: A Solution for Solving the Multi-Robot Task Allocation Problem
1 Introduction
2 Related Works
3 Proposed Solution
3.1 Problem Configuration and Assumptions
3.2 Proposed Algorithms
4 Simulation and Result Discussion
4.1 Generation of Simulation Data
4.2 Results and Analysis
5 Conclusion and Perspectives
References
Effective Streaming Evolutionary Feature Selection Using Dynamic Optimization
1 Introduction
2 Background and Related Works
2.1 Feature Selection for Classification
2.2 Streaming Feature Selection
2.3 Optimization in Dynamic Environments
3 Research Problematic and Proposed Approach
3.1 Research Problematic
3.2 Proposed Approach
4 Experimental Study
4.1 Experimental Setup
4.2 Experimental Results and Comparisons
5 Conclusion and Future Work
References
Evolutionary Multi-objective Optimization of Business Process Designs with MA-NSGAII
Abstract
1 Introduction
2 Related Work
3 Proposed Approach
3.1 Overall Architecture of the Proposed Framework
3.2 MA-NSGAII
4 Experimentation and Results
5 Conclusion
References
Sink Mobility Based on Bacterial Foraging Optimization Algorithm
1 Introduction
2 Bacterial Foraging Optimization Algorithm
3 SMBFOA Protocol
3.1 Clustering Phase
3.2 Routing Phase
3.3 Illustrative Case
4 Simulation Results and Analysis
5 Conclusion
References
Social-Spider Optimization Neural Networks for Microwave Filters Modeling
Abstract
1 Introduction
2 Social Spiders Optimization
3 Training Neural Networks Using Social Spiders Optimization
4 Application Examples and Application
5 Conclusion
References
Planning and Scheduling
Scheduling in Real-Time Systems Using Hybrid Bees Strategy
Abstract
1 Introduction
2 Related Works
3 Partitioning and Scheduling
4 Hybrid HBMO for Real Time Scheduling Resolution Problem
5 Presentation of the Resolution Process
6 Simulation and Experimental Results
7 Conclusion
References
Solving an Integration Process Planning and Scheduling in a Flexible Job Shop Using a Hybrid Approach
Abstract
1 Introduction
2 Literature Review
3 Framework of the Approach
3.1 Case Study
3.2 General Framework
3.3 Shifting Bottleneck Heuristic (SBH)
3.4 Tabu Search
3.5 Kangaroo Algorithm
3.6 Solution Representation
4 Results
5 Discussion
6 Conclusion and Future Work
References
A New Hybrid Genetic Algorithm to Deal with the Flow Shop Scheduling Problem for Makespan Minimization
Abstract
1 Introduction
2 Problem Description
3 The GA Principle
4 The Pachycondyla Apicalis Based Metaheuristic (API)
5 The Hybrid Genetic Algorithm Developed
6 Results and Discussion
6.1 Sensitivity Analysis of the GA
6.2 Sensitivity Analysis of the HGA
6.3 Comparison Results of the HGA and the Basic GA
7 Conclusion
References
Optimal Scheduling of Multiproduct Pipeline System Using MILP Continuous Approach
Abstract
1 Introduction
2 Literature Review
3 Problem Statement
3.1 Model Assumptions
4 Optimization Model
4.1 Objective Function
4.2 Constraints
4.2.1 Product Allocation to Batch
4.2.2 Batch Sequencing
4.2.3 Interface Volume Between Two Successive
4.2.4 Inventory in Distribution Center
5 Result and Discussion
5.1 Given
5.2 Analyses Result and Discussion
6 Conclusions
References
Wireless Communications and Mobile Computing
Terrain Partitioning Based Approach for Realistic Deployment of Wireless Sensor Networks
1 Introduction
2 Related Works
2.1 Deployment Approaches Based on a Mathematical Terrain Model
2.2 Deployment Approaches Based on a Matrix Terrain Model
2.3 Deployment Approaches Based on a TIN Terrain Model
3 The Proposed Approach
3.1 RoI Partitioning
3.2 Sensors Deployment
4 Performance Evaluation
5 Conclusion
References
Hybrid Acknowledgment Punishment Scheme Based on Dempster-Shafer Theory for MANET
1 Introduction
2 Preliminaries on Dempster-Shafer Theory
3 Adversarial Model
4 The Proposed HAPS Scheme
4.1 Monitor Module
4.2 Reputation Module
4.3 Exclusion Module
5 Performance Evaluation
5.1 Average Throughput (Kbps)
5.2 Malicious Dropping Ratio
6 Conclusion and Future Work
References
Efficient Broadcast of Alert Messages in VANETs
1 Introduction
2 Related Works
3 The Proposed Protocol
3.1 Preparing to Send
3.2 The Sending Step
3.3 Receiving Step
3.4 Rebroadcasting Steps
4 Simulation
4.1 Simulation Parameters
4.2 Evaluation of Protocol Performance
5 Conclusion
References
Improved Sensed Data Dependability and Integrity in Wireless Sensor Networks
Abstract
1 Introduction
2 Related Works
3 Proposed Protocols
3.1 Description of the First Proposal
3.2 Description of the Second Proposal
3.3 Description of the Third Proposal
3.4 Proposal Performance Evaluation
4 Conclusion
References
Impact of Clustering Stability on the Improvement of Time Synchronization in VANETs
1 Introduction
2 Basic Clustering Notions and Requirements
3 Related Work
4 OTRB Protocol Overview
5 Simulation Results
6 Conclusion
References
Internet of Things and Decision Support Systems
Enhancement of IoT Applications Dependability Using Bayesian Networks
1 Introduction
2 Related Works
3 Bayesian Classifier
4 Reliability of Captured Data (RCD)
4.1 System Assumptions
4.2 Mechanism Design
5 Simulation Results
5.1 Simulation Parameters
5.2 Performance Metrics
5.3 Results and Discussions
6 Conclusion
References
Towards an Extensible Context Model for Mobile User in Smart Cities
1 Introduction
2 Fundamental Concepts
2.1 Context and Context-Awareness
2.2 Smart City
2.3 Context-Aware Recommender System
3 Context Modeling for User-Centered Smart Cities
3.1 Context Modeling Requirements for Intelligent Environments
3.2 Ontology-Based Context Model
3.3 Context Reasoning with SWRL
4 Related Work
5 Conclusion and Future Work
References
Combining Proactive and Reactive Approaches in Smart Services for the Web of Things
Abstract
1 Introduction
2 Problem Statement and Motivating Scenario
3 Background
3.1 The Web of Things
3.2 Defining Context
3.3 Smart Web Services
4 Related Work
5 Proposed Architecture
6 Conclusion
References
Multi-agent System Based Service Composition in the Internet of Things
1 Introduction
2 Related Works
3 Service and Request Description Model
3.1 Context Messages
3.2 Service Description
3.3 User Request Description
4 Multi-agent System Based Service Composition Model
4.1 Adequacy of Multi-agent System for Service Composition
4.2 Functional Description of the Proposed Multi-agent System
4.3 Structural Description of the Proposed Multi-agent System
4.4 Dynamic Description of the Proposed Multi-agents System
5 Implementation and Use Cases Scenarios
5.1 Verification of the Proposed Multi-agent System: Unit Tests
5.2 Description of the Verification Context
5.3 Request Examples and Obtained Results
6 Conclusion
References
Crowdsourced Collaborative Decision Making in Crisis Management: Application to Desert Locust Survey and Control
1 Introduction
2 Related Work
3 Crowdsourced Collaborative Decision-Making Approach in Crisis Situations
3.1 Phase I: Information Sharing and Problem Identification
3.2 Phase II: Generating Possible Courses of Action
3.3 Phase III: Evaluating and Selecting a Proper Alternative
4 Case Study
4.1 Desert Locust Survey and Control Process at the INPV
4.2 Crowdsourcing the Decisional Process of the INPV
5 Conclusion
References
Pattern Recognition and Image Processing
Combined and Weighted Features for Robust Multispectral Face Recognition
1 Introduction
2 Related Works
3 Proposed Approaches
3.1 Database Preprocessing
3.2 Features Extraction
3.3 Features Fusion
3.4 Classification
4 The Used Face Databases
4.1 CSIST Database
4.2 IRIS Thermal/Visible Face Dataset
5 Results and Discussion
5.1 Results Obtained with the Features Weighted Average Approach
5.2 Results obtained with the Combined Feature Vectors Approach
5.3 Discussion
6 Conclusion
References
Conjugate Gradient Method for Brain Magnetic Resonance Images Segmentation
1 Introduction
2 Hidden Markov Random Field (HMRF)
3 Hidden Markov Random Field and Conjugate Gradient algorithm (HMRF-CG)
4 Experimental Results
4.1 Dice Coefficient Metric
4.2 The Image Sets and Related Parameters
4.3 Results
5 Discussion and Conclusion
References
Facial Expressions Recognition: Development and Application to HMI
Abstract
1 Introduction
2 Facial Expression Modeling
2.1 GVF Field
2.2 Gradient Vector Flow
2.3 Semi-automatic Initialization of GVF Snake
2.4 Superposition of the GVF Field and the GVF Snake
2.5 Spatio-Temporal Extraction of the Attributes
2.6 Temporal Extraction of the Attributes
3 Application
3.1 Modeling the ROI by MPEG-4 Description
3.2 Analysis of Distances Features
4 Conclusion
References
SSD and Histogram for Person Re-identification System
1 Introduction
2 Related Works
3 Description of the Proposed System
3.1 Person Detection
3.2 Person Localization
3.3 Verification
3.4 Person Tracking
3.5 Re-identification and Association
4 Experimental Results
4.1 System development environment
4.2 Experimental Results, and Discussion
5 Conclusion
References
Automatic Recognition of Plant Leaves Using Parallel Combination of Classifiers
Abstract
1 Introduction
2 Proposed System
2.1 Preprocessing
2.2 Features Extraction
2.3 Classification
2.4 Combining Classifiers
2.4.1 Sequential Combination
2.4.2 Parallel Combination
2.4.3 Hybrid Combination
3 Experimental Results
4 Conclusion
References
Semantic Web Services
Enhancing Content Based Filtering Using Web of Data
Abstract
1 Introduction
2 Content Based Filtering (CBF)
3 Web of Data
3.1 Linked Open Data
3.2 FOAF Vocabulary
3.3 Resource Description Framework (RDF)
4 Related Work
5 Proposed Semantic Content Based Filtering (SCBF)
6 Experiments
7 Conclusion
References
Selecting Web Service Compositions Under Uncertain QoS
Abstract
1 Introduction
2 State of the Art
3 Problem Formalization
4 Proposed Approach
5 Experiments
6 Conclusion
References
Unified-Processing of Flexible Division Dealing with Positive and Negative Preferences
1 Introduction
1.1 The Division and Anti-division Operators
1.2 Current Trends
1.3 Related Work and Motivation
1.4 Main Contributions in This Paper
1.5 Outline of the Paper
2 Review of Hash-Division Algorithm
3 Review of Flexible Division and Flexible Anti-division
3.1 Principle
3.2 Modelling
4 Our Proposed Approach for the Mixed Query
4.1 Strict and Gradual Mixed Query
4.2 Hash-Mixed Query: An Improvement of the Mixed Query
4.3 Experimentations
5 Parallel Implementation
6 Conclusion and Perspectives
References
Implementing a Semantic Approach for Events Correlation in SIEM Systems
1 Introduction
2 Related Works
3 Ontological Based Specification and Reasoning for Alert Correlation
3.1 Knowledge Representation in Intrusion Detection
3.2 The Proposed Ontology
4 Ontology Based Event Correlation System
4.1 Populating the Ontology
4.2 Reasoning with the Ontology
5 Experimental Results
5.1 Populating ONTO-SIEM
5.2 Discussing Results
6 Conclusion and Future Work
References
An Improved Collaborative Filtering Recommendation Algorithm for Big Data
Abstract
1 Introduction
2 Related Work
3 Collaborative Filtering Recommendation Algorithm
4 K-means Based-Collaborative Filtering Algorithm
4.1 K-means Algorithm
4.2 CFRA-Km: A Collaborative Filtering Recommendation Algorithm Based on K-means Clustering
4.3 Reducing the Dimension by PCA
4.4 CFRA-Km-PCA: A Collaborative Filtering Recommendation Algorithm Based on K-means Clustering and PCA
5 Experimentation Results and Evaluation
6 Conclusion and Future Work
References
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Computational Intelligence and Its Applications

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