Smart Data and Computational Intelligence

Name: Smart Data and Computational Intelligence | Proceedings of the International Conference on Advanced Information Technology, Services and Systems (AIT2S-18) Held on October 17 - 18, 2018 in Mohammedia
Brand: Springer
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Proceedings of the International Conference on Advanced Information Technology, Services and Systems (AIT2S-18) Held on October 17 - 18, 2018 in Mohammedia

Faddoul Khoukhi Mohamed Bahaj Mostafa Ezziyyani(Editor)

Springer (Publisher)

1st Edition

Published on 28. February 2019

XI, 298 pages

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978-3-030-11914-0 (ISBN)

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Content

Intro
Preface
Organization
Organizing Committee
Contents
Advances Networking and Sensor Networks
A New Architecture for Enhancing the QoS of IPTV Video Components by Merging the Advantages of LTE and PHB
1 Introduction
2 Enhancing QoS Utilizing a New Definition of IPv6 Flow Label
2.1 IPv6 Flow Label and Quality of Service
2.2 Optimization of IPTV Broadcasting Traffic
3 Implementation Scenario
4 Performance Analysis
4.1 Traffic Dropped
4.2 End-to-End Delay
4.3 Discussion
5 Conclusion and Perspectives
References
A New IPv6 Security Approach for a Local Network
Abstract
1 Introduction
2 Related Work
3 Duplicate Address Detection (DAD)
3.1 DAD Process
3.2 The Attack on DAD Process
4 Proposed Technique
4.1 Hash Function
4.2 Hash-TargetAdd-DAD
4.3 Algorithm DAD-Target-Hidden
4.4 Security Analysis
5 Performance Evaluation
5.1 Network Topology
5.2 Simulation Results and Evaluation
6 Conclusion and Perspectives
References
Improving IPTV Performance Using IGMP Snooping Protocol
Abstract
1 Introduction
2 Architecture of IPTV Network
2.1 Hardware of IPTV Network
2.2 Protocols of IPTV Network
3 Simulation
4 Result and Discussion
5 Conclusion
References
Considering the Velocity in the Vertical Handover Network Selection Strategy
1 Introduction
2 Background
3 Our Methodology
4 Results and Discussion
5 Conclusion
References
Study of the Impact of Routing on the Performance of IPv4/IPv6 Transition Mechanisms
Abstract
1 Introduction
2 Related Works and Motivation
3 Simulation Environment
3.1 Network Topology and Scenarios for Simulation
3.2 Elements of Performance Measurement
4 Simulation Results and Analysis
4.1 End-to-End Delay
4.2 Delay Variation
4.3 Packet Loss
5 Conclusion
References
Advances in Software Engineering
An Ensemble of Optimal Trees for Software Development Effort Estimation
1 Introduction
2 Related Work
2.1 Tree-Based SDEE Models
2.2 Tree Ensemble Based SDEE Models
3 Optimal Trees Ensemble for SDEE
4 Data Description and Model Evaluation
4.1 Datasets Description
4.2 Evaluation Criteria
4.3 Validation Method
5 Experimental Design and Results
5.1 Regression Trees Setup
5.2 Random Forest Configuration
5.3 Construction of Optimal Trees Ensemble
5.4 Results and Discussion
6 Conclusion and Future Work
References
A Multi-objective Model for the Industrial Hazardous Waste Location-Routing Problem
Abstract
1 Introduction
2 Literature Review
3 Problem Description
3.1 Assumptions
3.2 Mathematical Model
4 Empirical Approach
5 Findings
6 Conclusion
References
Review of Ontology Based Approaches for Web Service Discovery
Abstract
1 Introduction
2 Web Service Discovery
3 Semantic Web Service Discovery Methods
4 Ontology Based Approaches for Web Service Discovery
5 Conclusion
References
An Ontological Representation of ITIL Framework Service Level Management Process
Abstract
1 Introduction
2 Methodology
2.1 Identification of Service Requirements
2.2 Agreements Sign-off and Service Activation
2.3 Service Level Monitoring and Reporting
3 Artefact Evaluation
4 Conclusion
References
Multimedia Systems and Information Processing
Robust Watermarking for Medical Image Against Geometric and Compression Attacks
Abstract
1 Introduction
2 Backgrounds
2.1 Stationary Wavelet Transform (SWT)
2.2 Fast Walsh-Hadamard Transform (FWHT)
3 Proposed Technique
3.1 Watermark Inserting Algorithm
3.2 Watermark Extracting Algorithm
4 Experimental Results
5 Conclusion
References
R Peak Detection Based on Wavelet Transform and Nonlinear Energy Operator
1 Introduction
2 Materials and Methods
2.1 ECG Dataset: MIT-BIH Arrhythmia Database (MITDB)
2.2 Shift Invariant Wavelet Transform
2.3 Nonlinear Energy Operator (NEO)
3 Proposed QRS Detector
3.1 ECG Pre-processing Based Wavelet
3.2 QRS Complex Enhancement Using NEO
3.3 R Peak Detection Algorithm
4 Tests and Results
4.1 Performance Evaluation Criteria
4.2 Experimental Results
4.3 Comparative Analysis with the Literature
5 Conclusion
References
New Faster R-CNN Neuronal Approach for Face Retrieval
Abstract
1 Introduction
2 Related Work
3 Methodology
3.1 CNN-Based Representations
3.2 Fine-Tuning Faster R-CNN
3.3 Image Recovery
4 Experiments
4.1 Datasets Exploited
4.2 Experimental Setup
4.3 Off-the-Shelf Faster R-CNN Features
4.4 Fine-Tuning Faster R-CNN
5 Conclusion
References
An Efficient Level Set Speed Function Based on Temperature Changes for Brain Tumor Segmentation
Abstract
1 Introduction
2 Methods
2.1 Temperature Calculation
2.2 Level Set Method
2.3 Modified Speed Function
2.4 Synthetic MRI Images Used Experiments
3 Results and Discussion
4 Conclusion
Acknowledgements
References
Context-Awareness-Based Adaptive Modal for Multimedia Documents
Abstract
1 Introduction
2 Related Work
3 Contribution
4 Conclusion
References
E-learning
LMOnto: An Ontology-Based Learner Model for Technology Enhanced Learning Systems
Abstract
1 Introduction
2 Related Work
3 LMOnto: The Learner Model Ontology
3.1 Required Information for Building Learner Model
3.2 Description of LMOnto
4 Conclusion and Perspectives
References
Context-Aware that Performs Adaptation in Mobile Learning
Abstract
1 Introduction
2 Related Work
2.1 Key Value Models
2.2 Graphic Model
2.3 Markup Scheme Model
2.4 Object Oriented Model
2.5 Logic Based Model
2.6 Ontology Based Model
3 Context-Aware that Performs Adaptation in Mobile Learning
4 Toward an Ontology-Based Approach of Context Aware
4.1 Spatial Context Awareness
4.2 Temporal Context Awareness
4.3 Learner Context Awareness
4.4 Device Context Awareness
4.5 Vector Context Awareness
5 Conclusion
References
Structuring Areas of Interest in Learning Process as a Gaze Tracking Indicator
1 Introduction
2 Area of Interest Defined by the Spatial Density of Fixations
3 Conclusion
References
Advances Natural Language Processing and Applications
Use SMO SVM, LDA for Poet Identification in Arabic Poetry
Abstract
1 Introduction
2 Arabic Poetry Characteristics
2.1 Rhyme (Alqafiyah)
2.2 Meter (Alwazn)
3 Corpus of Arabic Poetry
4 Poet Identification Methodology
4.1 Text Preprocessing
4.2 Extracting Features
4.3 Feature Selection
4.4 Experiment
5 Results and Discussion
6 Conclusion
7 Future Work
Acknowledgments
References
Automatic Extraction of SBVR Based Business Vocabulary from Natural Language Business Rules
Abstract
1 Introduction
2 Related Works
3 SBVR Structured English
3.1 SBVR-SE Fonts
3.2 Vocabulary Description
4 Our Approach
4.1 Statement Extraction
4.2 POS Tagging and Dependency Parsing
4.3 Statements Dissection
4.4 Extraction of SBVR-SE Based Business Vocabulary
4.5 Output Document
5 Case Study
6 Future Works
7 Conclusion
References
Arabic Paraphrasing Recognition Based Kernel Function for Measuring the Similarity of Pairs
1 Introduction
2 Related Work
2.1 Supervised Techniques
2.2 Unsupervised Techniques
3 Architecture
3.1 Pre-processing
3.2 Measuring Similarity
4 Experiments and Results
4.1 Paraphrasing Corpora
4.2 String Similarity Measures
4.3 Performance Measure
4.4 Results
4.5 Discussion
5 Conclusion
References
Model of the Structural Representation of Textual Information and Its Method of Thematic Analysis
Abstract
1 Introduction
1.1 Thematic Extraction of the Document
1.2 Thematic Similarity Calculation of Documents
2 Méthods of Thematic Analysis
3 Modeling Text as a Multigraph
4 Proposed Approach
5 Algorithm for Calculating the Thematic Degree of Belonging of a Text to a Structure
6 Conclusion
References
IR Big Data, IA and Knowledge Management
Plagiarism Detection in Across Less Related Languages (English-Arabic): A Comparative Study
Abstract
1 Introduction
2 Related Work
3 Cross-Language Character N-Gram
4 Cross-Language Alignment-Based Similarity Analysis
5 Translation Plus Monolingual Analysis
6 Comparison
7 Conclusion
References
Stock Price Forecasting: Improved Long Short Term Memory Model for Uptrend Detecting
1 Introduction
2 Related Work
3 Proposed Model Description
3.1 Data Preparation
3.2 Stock Market Selection
3.3 Class Definition
3.4 Classifier Implementation
4 Experiment and Results
4.1 Dataset
4.2 Metrics
4.3 Proposed Model Results and Discussion
5 Conclusion
References
Using Genetic Algorithm to Improve Classification of Imbalanced Datasets for Credit Card Fraud Detection
Abstract
1 Introduction
2 Classification of Imbalanced Datasets
3 Proposed Methodology
3.1 Financial Fraud Data and Feature Selection Using Autoencoder
3.2 K-Means Clustering Method
3.2.1 The K-Means Clustering Algorithm Is Specified as Follows
3.3 Genetic Algorithms
3.3.1 Pseudo Code of Genetic Algorithm
3.3.2 Selection Process
3.3.3 Crossover Process
3.3.4 Mutation Process
4 Conclusion
References
Intelligent Vehicle Routing System Using VANET Strategy Combined with a Distributed Ant Colony Optimization
1 Introduction
2 Related Work
3 Vehicular Ad-hoc Network (VANET) Infrastructure
4 Combine the ACO Technique with the VANET Architecture
5 A Distributed Strategy for Solving the Routing System Problem
5.1 Monitoring Agent (MA)
5.2 Vehicle Agent (VA)
5.3 Routing Agent
6 Conclusion
References
Intelligent Information Systems and Modeling
New Approach for Solving Infinite Cycles Problem During Modeling
Abstract
1 Introduction
2 Modeling in Event-B
3 Mathematical Specification of the Proposed Method
4 An Overview of the Problematic of Infinite Cycles in Event-B Digraph
5 Verification Algorithm
6 Example of Infinite Cycle Problem
7 Conclusion
References
Pa-quacq: Algorithm for Constraint Acquisition System
1 Introduction
2 Background
3 Pa-quacq
3.1 Description
3.2 Analysis
4 Experimental Evaluation
4.1 Benchmark Problems
4.2 Results
5 Conclusion
References
FPSO-MPC Control of Artificial Pancreas
Abstract
1 Introduction
2 Modelisation
2.1 The Dalla Man et al. Model
2.2 Model for Control
2.3 Insulin-Glucose Transfer Function
2.4 State-Space Model
2.5 State-Estimation
3 Controller Design
3.1 Concept of MPC
3.2 Cost Function
3.3 Role of MPC Parameters
4 Tuning of MPC Parameters
4.1 Particle Swarm Optimization
4.2 Fuzzy PSO
4.3 Flowchart of the Proposed Controller
5 Results and Discussion
5.1 Metabolic Simulator System
5.2 Protocol of Simulation
5.3 In Silico Results
5.4 Time in Euglycemic Target Range [70-180] (mg/dl)
5.5 Hyper- and Hypo-Glycemia
5.6 General Discussion
6 Conclusion
References
Lean in Information Technology: Produce the Human Before the Software
Abstract
1 Introduction
2 The Evolution of the Lean Concept
3 History and Challenges of the Management of Information Systems
3.1 Evolution of Information Systems
3.2 Issues of the Information System
4 IT Governance Tools
4.1 Control Objectives for Information and Technology (COBIT)
4.2 Information Technology Infrastructure Library (ITIL)
4.3 Capability Maturity Model Integration (CMMI)
5 Lean Concept Applied to the Information System
5.1 Mudas of the Information System
5.2 Lean Applied to the IT Governance Tools
5.3 Challenges of the Application of Lean in IT
6 Conclusion
Acknowledgement
References
Intrusion Detection Systems: To an Optimal Hybrid Intrusion Detection System
Abstract
1 Introduction
2 Related Works
3 Intrusion Detection System
3.1 Intrusion Detection System Taxonomy
3.2 Data Collection
3.2.1 Central Structure
3.2.2 Hierarchical Structure
3.2.3 Fully Distributed Structure
3.3 Audit Source Location
3.3.1 Network Intrusion Detection Systems
3.3.2 Host Intrusion Detection Systems
3.3.3 Hybrid Intrusion Detection Systems
3.4 Time of Detection
3.4.1 Real-Time Detection
3.4.2 Non Real-Time Detection
3.5 Reaction Layer
3.5.1 Passive System
3.5.2 Active System
3.6 Detection Methods
3.6.1 Misuse Detection
3.6.2 Anomaly-Based Detection
4 Comparison of Open Source IDSs
5 Evasion Techniques
5.1 Shellcode Mutation
5.1.1 Shellcode
5.1.2 Polymorphic Shellcode
5.2 Evasion Tools
5.2.1 Metasploit [11]
5.2.2 Msfvenom
5.2.3 Veil-evasion
6 Anomaly-Based Detection Using PHAD, NETAD and ALAD Statistical Algorithms
6.1 PHAD (Packet Header Anomaly Detection)
6.2 NETAD (Network Traffic Anomaly Detection)
6.3 ALAD (Application Layered Anomaly Detection)
7 Comparison of PHAD, NETAD, and ALAD
8 Conclusion
References
Author Index

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Smart Data and Computational Intelligence

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