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[Lecture Notes in Intelligent Transportation and Infrastructure] Innovations in Smart Cities Applications Edition 3 (The Proceedings of the 4th International Conference on Smart City Applications) ||

معرفی کتاب «[Lecture Notes in Intelligent Transportation and Infrastructure] Innovations in Smart Cities Applications Edition 3 (The Proceedings of the 4th International Conference on Smart City Applications) ||» نوشتهٔ Mohamed Ben Ahmed (editor), Anouar Abdelhakim Boudhir (editor), Domingos Santos (editor), Mohamed El Aroussi (editor), İsmail Rakıp Karas (editor)، منتشرشده توسط نشر Springer International Publishing : Imprint: Springer در سال 1007. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

Preface Committee Honor Committee Conference General Chairs Conference Local Chairs Conference Technical Program Committee Chairs Workshop Co-chairs Publications Co-chairs Tutorials Co-chairs Web Chair Publicity and Social Media Co-chairs Sponsorship and Exhibit Chairs Technical Program Committee Keynote Speakers Smart City Strategic Planning: Trends and Challenges Citizens’ Engagement on Smart Cities Smart Building Sustainability Assessment Smart Governance: Leadership, Priorities and Indicators for Sustainable Cities Traffic Flow Theory and Its Applications Smart Airport: A Major Component of a Smart City Contents Smart Citizenship General Smart City Experts’ Perceptions of Citizen Participation: A Questionnaire Survey Abstract 1 Introduction 2 Citizen Participation Theory 3 The Smart City Concept 4 Citizen Participation in Smart Cities 5 Survey About Citizen Participation in Smart Cities 5.1 Methodology 5.2 Survey Highlights 5.3 Summary 6 Conclusion Acknowledgments References Citizen Sentiment Analysis in Social Media Moroccan Dialect as Case Study Abstract 1 Introduction 2 Related Work 2.1 Smart City 2.2 Sentiment Analysis 3 Sentiment Analysis Methodology 3.1 Data Collection and Annotation 3.2 Data Pre-processing and Features Selection 3.3 Opinion Classification 4 Validation and Analysis of Results 5 Illustrative Scenario 6 Conclusions and Future Work References Social Networks Fake Profiles Detection Using Machine Learning Algorithms Abstract 1 Introduction 2 State of the Art 3 Using Naive Bayes Classifiers 4 Using Decision Trees Classifiers 5 Using Random Forest Classifiers 6 Our Approach 6.1 Initial Features 6.2 Features Selection 7 Results and Discussion 7.1 Splitting the Dataset 7.2 Evaluation Metrics 7.3 Experimental Results 8 Conclusion and Future Work References Smart City Mobile Apps Exploratory Data Analysis: Mauritius Case Abstract 1 Introduction 1.1 Rationale Behind the Citizen as a Major Stakeholder in Smart Cities 1.2 Chapter Description 2 Technology Acceptance Model 3 Methodology 3.1 Sample Size and Hypotheses 3.1.1 Perceived Usefulness (PU) 3.1.2 Perceived Ease of Use (PEOU) 3.1.3 User Satisfaction (US) and Perceived Enjoyment (PE) 3.1.4 Behavioral Intention to Use (BI) 3.1.5 Quality of Internet (QI) 3.1.6 Citizen Experience and Readiness 4 Exploratory Data Analysis 4.1 Cronbach Alpha 4.2 Correlation 4.3 Anova 5 Conclusion Acknowledgment References Gamification of Civic Engagement in Smart Cities (New Russian Practices) Abstract 1 Introduction 2 Literature Review 3 Solidarity and Cooperation Through Gamification 4 Interactivity and Immersiveness Through Gamification 5 Conclusion References Machine Learning for Sentiment Analysis: A Survey Abstract 1 Introduction 2 Background 2.1 Main Concepts 2.2 The Preprocessing Task in Sentiment Analysis 3 Related Works Review 4 A Comparative Study 4.1 Criteria 4.2 Analysis and Discussion 4.3 Statistical Review 5 Conclusion and Future Work References A Survey on Hand Modalities and Hand Multibiometric Systems Abstract 1 Introduction 2 Hand Biometric Systems 2.1 General Biometrics Concepts 2.2 Hand Recognition Systems 3 Hand Modalities 3.1 Geometry 3.2 Contour (or Shape) 3.3 Surface (or Texture) 3.4 Vein 4 Multibiometrics 4.1 Comparison Study of Multibiometric Systems 5 Conclusion References A Social Media Ontology-Based Sentiment Analysis and Community Detection Framework: Brexit Case Study Abstract 1 Introduction 2 Related Work 3 Main Concepts 3.1 Sentiment Analysis 3.2 Community Detection 3.3 Ontologies 4 Proposed Framework 4.1 Social Media Extractor 4.2 Text Preprocessing 4.3 Sentiment Analysis 4.4 Community Detection 4.5 Analytics Console 5 Brexit Analysis Case Study 5.1 Sentiment Analysis – Overall Pie Charts 5.2 Sentiment Analysis – Results on Map 5.3 Sentiment Analysis – Overtime Stacked Bars 5.4 Community Detection Results 6 Conclusion References Fuzzy Questions for Relational Systems Abstract 1 Introduction 2 Fuzzy Systems 2.1 The Operation of a Fuzzy System 3 Fuzzy Querying System Architectures 3.1 Fuzzy Query to Database 3.2 Fuzzy Interrogation System Architectures 4 Comparison of Most Relevant Characteristic in Fuzzy Query Systems 5 Conclusion References Smart Education Using Machine Learning Algorithms to Predict the E-orientation Systems Acceptancy Abstract 1 Introduction 2 School Guidance and TIC 3 Theoretical Background 3.1 Technology Acceptance Model 3.2 Using TAM in E-orientation Systems 4 Methodology 4.1 Waikato Environment for Knowledge Analysis (Weka) 4.2 Feature Selection 4.3 Classification Algorithms 4.4 Classifier Accuracy Measures 5 Results and Discussion 6 Conclusion References Smart University Services for Collaborative Learning Abstract 1 Introduction 2 Research on Smart University (SU) 3 Smart University’s Components 3.1 Smart Learner 3.2 Smart Knowledge 3.3 Smart Learning 3.4 Smart Interaction 4 Smartness in University 4.1 Introduction 4.2 Smart University’s Services 4.3 Service-Oriented Architecture for Smart University 5 Collaboration in Smart University 5.1 Motivations 5.2 Smart Collaborative Learning 5.3 Collaborative Smart University Services 6 Discussion 7 Conclusion References Multi-Agent System of an Adaptive Learning Hypermedia Based on Incremental Hybrid Case-Based Reasoning Abstract 1 Introduction 2 Adaptive Learning System 3 Case Based Reasoning 4 Multi-agent Adaptive Learning System 4.1 Agent 4.2 Multi-Agent System 5 Our Proposed IHCBR Architecture 5.1 Architecture Presentation 5.2 Description of the Architecture 6 Conclusion and Perspectives References Augmented Reality Application in Laboratories and Learning Procedures Abstract 1 Introduction 2 Related Work 2.1 Augmented Reality in Education 2.2 Augmented Reality in Laboratories 3 Method 3.1 Working Methodology 3.1.1 Tracking 3.1.2 Alignment 4 Conclusion References Pedagogy in the Digital Age: Making Learning Effective and Engaging for Students Abstract 1 Introduction 2 Blended Learning 3 Interactive Learning Sites 3.1 Kahoot! 3.2 Quizlet 3.3 Quizalize 3.4 Wooclap 3.5 Jeopardylabs.com 3.6 PowToon 3.7 Interactive Whiteboards 4 Methodology 4.1 Sample 4.2 Instrument 4.3 Data Collection and Analysis 4.4 Findings 5 Conclusion 6 Limitations References Towards Recommendation Using Learners’ Interest in Social Learning Environment Abstract 1 Introduction 2 Related Works 3 Discussion 4 System Framework 4.1 The Pedagogical Resources 4.2 The Learner History 4.3 The System Analyzer 4.3.1 Group Construction 5 Experiment 6 Conclusion and Future Work References Toward a Generic Student Profile Model Abstract 1 Introduction 2 Student Profile Modeling 2.1 Definitions 2.2 Student Modeling Approaches 3 Related Works 4 Comparative Study 4.1 Criteria 4.2 Analysis and Discussion 4.3 Global Student Features 5 Conclusion and Future Work References Digital Business and Smart Governance Digital Business Models: Doing Business in the Digital Era Abstract 1 Introduction 2 Fundamental Concepts 2.1 Business Models: The Concept’s Definition 2.2 Business Models: The Origins 2.3 Digital Business Models 3 Methodology 4 Finding and Discussions 4.1 Customer Experience in the Digital Age 4.2 Data: The Fuel of the Digital Age 4.3 Platforms: The New Trend 4.4 Preparing to Compete in the Digital Age 4.5 Digital Strategy: The New Way of Doing Business 4.6 Content in the Digital Age 4.7 Open Innovation: The New Imperative for Creating Value 5 Digital Business Model Canvas 6 Research Directions 7 Conclusions References Social Media Made Me Buy It: The Impact of Social Media on Consumer Purchasing Behavior and on the Purchase Decision-Making Process Abstract 1 Introduction 2 Research Aims and Objectives 3 History and Classification of Social Media 4 Literature Review 5 Social Media: Online Word of Mouth and Marketing Special 6 The Efficiency of Brands’ Marketing Strategies in Social Media Platforms 7 The Impact of Social Media on the Different Stages of Decision Making Process (Analysis of the Classical or Traditional Purchase Model) 8 The Impact of Social Media on Consumer Purchasing Behavior 9 Methodology 10 Data Analysis and Results 11 Conclusion Appendix References Literature Electronic Sources Machine Learning as an Efficient Tool to Support Marketing Decision-Making Abstract 1 Introduction 2 Related Works 3 Method 3.1 Collection the Campaign Features 3.2 Recipient Profile Features Collection 3.3 Predicting Models Establishment 4 Results and Discussion 5 Conclusion and Perspectives References Big Data Science and Analytics for Tackling Smart Sustainable Urbanism Complexities Abstract 1 Introduction 2 Conceptual Background and Theoretical Constructs 2.1 Smart Sustainable Urbanism 2.2 Data-Intensive Science 3 Wicked Problems and Sustainable Urbanism 4 The Essence and Dilemma of Wicked Problems in Urbanism 5 Big Data Uses Opportunities in Sustainable Urbanism 6 Urban Science and Data-Intensive Science for Transforming Urban Sustainability Science 7 Conclusion References Towards an Eco Responsible Corporate Governance Abstract 1 Introduction 2 The Model of Eco-Responsible Decision for Companies 2.1 The Decision-Making Dimensions of a Companies 2.2 The Dimensions of a Company’s Ecological Decision 3 Corporate Governance 3.1 Comparative Study Between Shareholder and Stakeholder Theory of Corporate Governance 3.2 The Aspect of Reasonable Corporate Governance System 4 The Impact of the Eco Responsible Decision on the Governance System: The Case of Moroccan Companies 4.1 The Relationship Between Eco Responsible Decision and Corporate Governance 5 Methodological Structure 5.1 The Use of Neural Networks as a Method of Measurement of the Relationship Between Eco Responsible Decision and Corporate Governance System: The Case of Moroccan Companies 6 Smart Ecological Mode of Corporate Governance 7 Conclusion References Comparative Study Using Neural Networks Techniques for Credit Card Fraud Detection Abstract 1 Introduction 2 Related Works 2.1 Artificial Neural Network (ANN) 2.2 Multilayer Preceptron (MPL) 2.3 Long Short-Term Memory (LSTM) 2.4 Recurrent Neural Network (RNN) 2.5 Gated Recurrent Unit (GRU) 2.6 Self-organization Map (SOM) 3 Method of Comparison 3.1 NN 3.2 MPL 3.3 CNN 4 Data Description 4.1 Dataset Generation 4.2 Feature Engineer 5 Conclusion References Smart Healthcare Application of Unsupervised Machine Learning to Cluster the Population Covered by Health Insurance Abstract 1 Introduction 2 Research Methodology 2.1 Unsupervised Learning: Clustering Analysis 2.2 K-Means Clustering Algorithm 2.3 Multiple Correspondence Analysis (MCA) 3 Results and Discussion 3.1 Use of MCA 3.2 Application of K-Means Algorithm 3.3 Validation Measure: Silhouette Coefficient 3.4 Empirical Validation 3.5 Comparison Between K-Means and K-Nearest Neighbors 4 Conclusion References Secure Communication in Ehealth Care Based IoT Abstract 1 Introduction 2 Related Work 3 Ehealth System 3.1 E-Health Architecture 3.2 E-health Procedure 4 Security Requirements 5 Secure Communication 5.1 Secure Layers 5.1.1 Physical and Media Access Layers 5.1.2 From Physical to Application Layers 5.1.3 Application Layers and Transport 5.1.4 Secure Routing 6 Discussion 7 Conclusion References Internet of Things Ehealth Ecosystem: Solution Abstract 1 Introduction 2 Internet of Things (IoT) 2.1 Deftnition of IoT 2.2 Architecture of IoT 2.3 WSN in the Perception Layer of the IoT Architecture 3 Application of IoT on the Ehealth Ecosystem 3.1 EHealth Goals 3.2 Types of Applications and Portable Objects Used in EHealth 3.3 Social Interest of EHealth 3.4 Application and Data 3.5 Priority Use Cases 3.6 Technical Tools: The Micro Computer and the Shield Used 4 Related Work 5 Simulation of the IoT Ehealth Ecosystem 5.1 The WIMAX Protocol in the Physical and Datalink Layers 5.2 Using an Application Base on the HTTP Protocol 5.3 Using an Application Base on the FTP Protocol 5.4 Using an Application Base on the Email Protocol 5.5 Using a Voice Application 5.6 Using a Remote Login Application 6 Conclusion References Risks of Radiation Exposure During Abdominopelvic CT Procedures at Mohamed VI University Hospital of Oujda, Morocco Abstract 1 Introduction 2 Materials and Methods 2.1 Patients Data 2.2 Effective Dose Calculation 2.3 Estimates of Cancer Risk 2.4 Estimates of Hereditary Risks 2.5 Statistical Data 3 Results 4 Discussion 5 Conclusion References Glucose Sensing for Diabetes Monitoring: From Invasive to Wearable Device Abstract 1 Introduction 2 Glucose Monitoring Sensors 2.1 Blood-Based Diagnostics (The Gold Standard) 2.2 Tear-Based Diagnostics 2.3 Sweat-Based Diagnostics 2.4 Saliva-Based Diagnostics 3 Comparative Study 4 Proposed Glucometer 4.1 Materials and Methods 5 Results 5.1 Measurement Stage (Electrode Electrochemical Cell) 5.2 Electronic Glucometer Circuit 5.3 Amplification Stage 5.4 Filtering Stage 6 Discussion 7 Conclusion References Framework on Mobile Technology Utilization for Assisted Healthcare Service Request and Delivery of Aged Person: A Case of Ghana Abstract 1 Introduction 2 Background 3 Related Work 3.1 Growth of Mobile Phone 3.2 Challenge to mHealth Implementation from a Developer Perspective 3.3 Use of Mobile Phones by Frontline Health Workers 3.4 Growing Aged Population 4 Methodology 5 Proposed Conceptual Framework 6 Evaluation of Conceptual Framework 6.1 Analysis of Data from Health Professionals 6.2 Analysis of Data from Patients 7 Schema to Assess Data Flow 8 Business and Economic Benefits 9 Conclusion References Segmentation and Classification of Microcalcifications Using Digital Mammograms Abstract 1 Introduction 1.1 Mammography Images 2 Breast Cancer Detection 2.1 Related Work 3 Proposed Approach 3.1 Preprocessing Step 3.2 Segmentation Step 3.3 Features Extraction Step 3.4 Classification Step 3.5 Experimental Result 3.6 Pre-processing Evaluation 3.7 Segmentation Evaluation 4 Conclusion References Rough Set Based Supervised Machine Learning Approaches: Survey and Application 1 Introduction 2 Rough Set Theory: Key Notions 3 Involved Methods 3.1 Discretization Methods 3.2 Attribute Reduction Methods 3.3 Rule Induction Methods 4 Experiments: Description, Analysis and Discussion 4.1 Used Database Description 4.2 Test Environment 4.3 Realized Experiments 4.4 Results and Discussion 5 Conclusion References Knee Functional Telerehabilitation System for Inclusive Smart Cities Based on Assistive IoT Technologies Abstract 1 Introduction 2 Related Work 2.1 IoT Functions and Architectures 2.2 IoT Platform and Framework 3 Material and Method 3.1 Knee Angle Measurement 3.2 Processing and Transmission Unit 3.3 Cloud Data Logging and Visualization 4 Experimental Test and Results 4.1 Prototype Implementation 4.2 Test of Measurement Accuracy 4.3 Results of Evaluation Test 5 Conclusion References Configuring MediBoard HIS for Usability in Hospital Procedures Abstract 1 Introduction 2 Materials 2.1 MediBoard 2.2 OpenMRS 2.3 OpenEMR 2.4 HospitalOS 2.5 Care2x 2.6 OpenHospital 2.7 MedinTux 2.8 HOSxP 2.9 PatientOS 2.10 Linux 2.11 Apache 2.12 PHP 2.13 MySQL 2.14 IEEE 12207 2.15 ISO 14764 3 Methods 3.1 The DeLone & McLean Model 3.2 The SQALE Method 3.3 Comparative Study Implementations 3.4 Maintenance of MediBoard 3.4.1 Identifying the Problem 3.4.2 Analysis and Design 3.4.3 Implementing Change 4 Results and Discussions 4.1 Comparative Study Results 4.2 MediBoard Maintenance Results 5 Conclusion References Type 2 Diabetes Mellitus Prediction Model Based on Machine Learning Approach Abstract 1 Introduction 2 Some Related Work 3 Materials and Methods 3.1 Diabetics Database Description 3.2 Machine Learning Algorithms for Prediction 3.3 Proposed Predictive Model 3.4 Performance Evaluation Methods 4 Results and Discussion 4.1 Results Evaluation and Comparison 4.2 Discussion 5 Conclusion and Perspectives References Hybrid Method for Breast Cancer Diagnosis Using Voting Technique and Three Classifiers Abstract 1 Introduction 2 Breast Cancer 2.1 Types of Breast Cancer 2.2 Diagnosis of Breast Cancer 3 Related Works 4 Machine Learning Algorithms 4.1 Bayesian Network (BN) 4.2 Support Vector Machines (SVM) 4.3 K Nearest Neighbors Algorithm (KNN) 5 Voting Classifier Technique 6 Proposed Method 7 Experimentation and Results 7.1 Description of the Dataset 7.2 WEKA Tool 7.3 K-Fold Cross-validation 7.4 Confusion Matrix 7.5 Bayesian Network (BN) 7.6 Support Vector Machines (SVM) 7.7 BN-SM 7.8 K Nearest Neighbors Algorithm (KNN) 7.9 BN-SVM-KNN 8 Conclusion Acknowledgement References Visual Question Answering System for Identifying Medical Images Attributes Abstract 1 Introduction 2 Related Works 3 The Proposed Model 3.1 Image Representation 3.2 Question Representation 3.3 Merge 3.4 Encoder Decoder Model 3.5 Answer Generation 4 Results and Discussion 4.1 Evaluation and Results 4.2 Discussion 5 Conclusion References New Generation of Networks and Systems for Smart Cities Enhanced Mobile Network Stability Using Average Spatial Dependency 1 Introduction 2 Related Work 2.1 Mobility vs Predictive MPR Selection 2.2 Mobility Quantification for MultiPoint Relays Selection Algorithm 2.3 Mobility Models Selection 3 Impact of the Mobility on the Network 3.1 Results and Discussions 4 The Proposed Model 4.1 Proposed Solution 4.2 Implementation 5 Result Discussion 5.1 Simulation Setups 5.2 Performance Results 6 Conclusion References A Review on 3D Reconstruction Techniques from 2D Images Abstract 1 Introduction 2 Overview on 3D Reconstruction from Images 2.1 What is 3D Reconstruction from Images 2.2 Fields of Application of 3D Reconstruction from Images 2.3 3D Reconstruction from Images Requirements 3 Active and Passive Reconstruction Methods 3.1 Active Methods 3.2 Passive Methods 4 2D to 3D Conversion Algorithms 4.1 Binocular Disparity 4.2 Motion Parallax 4.3 Image Blur 4.4 Silhouette 4.5 Linear Perspective 4.6 Atmosphere Scattering 4.7 Shape from Shading 4.8 Structure from Motion 5 Comparison 5.1 Relative or Absolute Depth 5.2 Depth Range 5.3 Real Time Processing 5.4 Image Acquisition 5.5 Image Content 5.6 Motion Presence 5.7 Dense or Sparse Depth Map 5.8 State of Each Depth Cue 6 Conclusion References Analytical Approaches and Use Case on Network Interactions Abstract 1 Introduction 2 Biological Network Analysis 2.1 Biological Networks Taxonomy 2.2 Network Measures 3 Cytoscape 3.1 Use Case Protein Interactions and Analysis on a Biogrid Database Network 4 Discussion 5 Conclusion References Performance Analysis of Cooperative MIMO Systems for Mobile Coverage in Smart City Application Abstract 1 Introduction 2 MIMO-OFDMA System 3 Analysis of Cooperative MIMO System in Smart City Network 4 Simulation Analysis 4.1 Impact of Cooperative MIMO System on Spectral Efficiency 4.2 Cooperative MIMO for Smart Cities 5 Conclusion References Embedded Systems Hardware Software Partitioning Approach Based on Game Theory 1 Introduction 2 Related Works 3 Proplem Definition 4 Proposed Approach 4.1 Game Strategy 5 Implementation 5.1 MiniMax Algorithm 5.2 Proposed Algorithm 6 HSP with Three Metrics 7 Experiments 8 Conclusions References Comparative Study and Improvement of the Routing Protocols Used in the Vehicular Networks and v2v Communications Abstract 1 Introduction 2 Routing Protocols 3 Topology-Based Routing Protocol 3.1 Proactive (Table-Driven) Routing Protocols Routing 3.1.1 DSDV (Destination-Sequenced Distance Vector) 3.1.2 OLSR (Optimized Link State Routing Protocol) 3.2 Reactive (On-Demand) Routing Protocols 3.2.1 AODV (Ad Hoc On-Demand Distance Vector) 3.2.2 Dynamic Source Routing DSR 3.3 Hybrid Routing Protocols 3.3.1 ZRP (Zone Routing Protocol) 4 Position-Based Routing Protocols 4.1 VADD (Vehicle-Assisted Data Delivery) 4.2 GPSR (Greedy Perimeter Stateless Routing) 4.3 GPCR (The Greedy Perimeter Coordinator Routing) 4.4 GyTAR (Improved Greedy Traffic Aware) 5 Comparative Analysis 5.1 Comparison Between Routing Protocols 6 Improvement of Routing Protocols 6.1 Improvement of the AODV Protocol 6.2 Simulation Results 6.2.1 Throughput 6.2.2 End to End Delay 6.2.3 Packet Delivery Fraction (PDF) 6.3 Proposed Improvement of the GPSR Protocol 7 Discussion 8 Conclusion and Future Work References Performance Study of Position-Based Zoning Techniques in MANETs 1 Introduction 2 Related Work 3 Problem Formulation 4 OLSR Model 5 Proposed Work 5.1 Geographic Forwarding Rules 5.2 Zone MPR Computation 5.3 Hybrid Zoning Algorithm : Z-GFR 6 Simulation and Results 7 Conclusion References Logical Structure of an IPv6 Network that Perfectly Uses the Summarization Technique 1 Introduction 2 Historical Overview 2.1 Step 1: Schematization of the Summarization Technique 2.2 Step 2: Finding an Aggregation Process 3 The Proposed Method 3.1 The Generating Process of the Logical Model 3.2 Illustration Initiation. Generating. Outputting. 4 Discussion 4.1 The Basic Address Plan vs the Proposed Model 4.2 Subdivising and Minimizing the Routing Tables 4.3 The Value of the Aggregation Parameter (n) 5 Conclusion References A Simulation Analyses of MANET’s Attacks Against OLSR Protocol with ns-3 Abstract 1 Introduction 2 Background 2.1 Optimized Link State Routing Protocol 2.2 Link-Spoofing Attack in MANETs 2.3 Replay Attack in MANETs 2.4 Data-Flooding Attack in MANETs 3 Experimental Environment Setup 4 Performance Metrics 4.1 Packet Delivery Rate 4.2 Normalized Routing Load 4.3 Average End-to-End Delay 5 Simulation Result Analysis of Link-Spoofing Attack 5.1 Packet Delivery Rate 5.2 Normalized Routing Load 5.3 Average End-to-End Delay 6 Simulation Result Analysis of Replay Attack 6.1 Packet Delivery Rate 6.2 Normalized Routing Load 6.3 Average End-to-End Delay 7 Simulation Result Analysis of Data-Flooding Attack 7.1 Packet Delivery Rate 7.2 Normalized Routing Load 7.3 Average End-to-End Delay 8 Conclusions References Functional Modeling of IoT Protocols Abstract 1 Introduction 2 Internet of Things 3 Applications Protocols 3.1 Protocol CoAP 3.2 Protocol MQTT 3.3 Protocol XMPP 3.4 AMQP 3.5 Protocols DDS 3.6 Protocol WebSocket 3.7 Protocol Rest API 4 Comparative Study of Protocols 5 Operating Models 5.1 Operating Model CoAP 5.2 Operating Model MQTT 5.3 Operating Model AMQP 5.4 Operating Model XMPP 5.5 Operating Model DDS 5.6 Operating Model WebSocket 5.7 Operating Model Rest API 6 Conclusion References New Tool for 5G Radio Network Planning and Deployment Abstract 1 Introduction 1.1 NYUSIM Properties 1.2 NYUSIM Limits 2 2TISIM Software 2.1 2TISIM Conception 2.2 2TISIM Properties 2.2.1 Channel Model 2.2.2 Received Power and Coverage Limit 2.2.3 Path Loss Exponent 2.2.4 DoD and DoA Estimation 2.3 2TISIM Assets 3 Simulation Results 3.1 Simulation Parameters 3.2 Path Loss (PL) for Different Frequencies 3.3 Received Power for Different Frequencies 3.4 DoD and DoA Representations 4 Conclusion References Transmit-Power and Interference Control Algorithm in Cognitive Radio Network Based on Non-cooperative Game Theory Abstract 1 Introduction 2 Related Work 3 System Model 4 Game Models for Interference and Power Control 4.1 Game Formulation 4.2 Algorithm Implementation 4.3 Static Non-cooperative Game 5 Simulation and Analysis 5.1 Effect of the Distance Between the Pairs on NE 5.2 Effect of the Distance Between (Sender, Receiver) Pair 5.3 Effect of the Path-Loss Exponent 6 Conclusion References Network Coding for Energy Optimization of SWIMAC in Smart Cities Using WSN Based on IR-UWB Abstract 1 Introduction 2 Smart Cities Using WSN 3 MAC Protocols for WSN Based on IR-UWB 3.1 ALOHA 3.2 SWIMAC 4 XOR Network Coding 5 NC Implementation for SWIMAC 6 Simulation and Results 6.1 Simulation Parameters 6.2 Results 7 Conclusion References 5G Energy Efficiency for Smart Cities: A Call Admission Control Proposition Abstract 1 Introduction 2 Call Admission Control (CAC) in Mobile Networks 2.1 A CAC Evolution in Mobile Networks 2.2 A New RRC State Is Introduced in 5G 3 Power Consumed in the Macrocell in UDN 4 Call Admission Control with Lower Energy Consumption in 5G 5 Algorithm of Call Admission Control with Lower Energy Consumption in 5G 6 5G Frequency Spectrum and Propagation Models 6.1 5G Frequency Spectrum 6.2 5G Propagation Models 7 Some Applications for Smart Cities 8 Conclusion References Watermarking Image Scheme Based on Image Content and Corners Decomposition Method Abstract 1 Introduction 2 Spatial Domain Based Methods 2.1 Feature Points Detectors 2.2 Image Decomposition Method 3 The Proposed Scheme 3.1 Watermark Embedding Scheme 3.2 Watermark Detection Scheme 4 Simulation, Results and Discussion 4.1 Simulation 4.2 Experimental Results 4.3 Discussion 5 Conclusion References Smart Grids and Electrical Engineering A Combined Source and Demand-Side Energy Management System for a Grid-Connected PV-Wind Hybrid System Abstract 1 Introduction 2 Hybrid Renewable Energy 2.1 Photovoltaic System 2.2 Wind Turbine Generation 2.3 Storage System 2.4 Proposed Hybrid System Interconnection Strategy 3 Hybrid System Energy Optimization: Our Proposed 4 Simulation and Results 5 Conclusions References New Hybrid Approach Multi-agents System and Case Based Reasoning for Management of Common Renewable Resources Abstract 1 Introduction 2 Related Work 3 Problematic 4 State of the Art 4.1 Dynamic Case-Based Reasoning 5 The MDA Approach 6 Our Proposed Approach 7 Design and Modeling 7.1 Description of the AUML Class Diagram 7.2 Sequence Diagram 8 Implementation of Our Approach on JADE Platform 8.1 General Architecture 8.2 JADE Platform 8.3 Implementation of Our Approach 9 Conclusion and Perspectives References Robust Control of Induction Motor Drive Facing a Large Scale Rotor Resistance Variation 1 Introduction 2 IM Drive Modeling 3 Indirect Field Oriented Control 4 Sliding Mode Approach for Robust Control 4.1 Sliding Mode Control Design 4.2 Application to the Induction Machine 5 Extended Kalman Filter for Rotor Flux and Speed Observation 6 Simulation Results 7 Conclusion References Optimization of the Feasibility Study of an Energy Production System Based on the Wind and the Marine Current Turbine in Morocco 1 Introduction 1.1 Motivation 1.2 Related Work 1.3 Contribution 2 Ksar Sghir Load and Renewable Energy Potential 2.1 Site Description 2.2 Wind Energy 2.3 Marine Current Potential 2.4 Load Profile 3 Methodology 4 Ksar Sghir Hybrid System Modeling 4.1 System Modeling on HOMER 4.2 System Modeling on GAMS 5 Results and Discussion 5.1 HOMER Results 5.2 GAMS Results 6 Conclusion References Identification of Relevant Input Variables for Prediction of Output PV Power Using Artificial Neural Network Models Abstract 1 Introduction 2 System and Database Description 2.1 System Description 2.2 Data Base Description 3 ANN 4 Methodology 5 Results and Discussion 5.1 Choice of the Best Model 5.2 Prediction of PV Output Power 6 Conclusion References Smart Mobility On the Communication Strategies in Heterogeneous Internet of Vehicles Abstract 1 Introduction 2 Background 3 Related Works 4 Proposed Protocol (ERTP-IOV) 4.1 Interface Selection Steps 5 Performance Evaluation in Vanet 6 Conclusion References A Comparison of Random Forest Methods for Solving the Problem of Pulsar Search 1 Introduction 2 Proposed Random Forest Methods 2.1 Random Forest (method = `rf') 2.2 Random Forest Satges 2.3 Parallel Random Forest (method = `parRF') 2.4 Random Forest by Randomization (Method = `Extra-Trees') 2.5 Regularized Random Forest (method = `RRF') 2.6 Conditional Inference Random Forest (method = `cforest') 2.7 Random Forest (method = `ranger') 3 Results, Analysis and Discussion 3.1 Random Forest Methods Parameters 3.2 Calcul of Evaluation Metrics 3.3 Experimental Results 3.4 Analysis and Discussion 4 Conclusion References Digital Service Supply Chain Management: Current Realities and Prospective Visions Abstract 1 Introduction 2 Supply Chain Management: Realities and Innovations for the Service Company 3 Digitalization of the Company, a Popular Concept 4 The Digital Supply Chain Management of the Service Company 4.1 The Current Digitization of the Service Company’s SCM 4.2 Digitalization of the Service Company’s SCM: A Prospective Approach 5 Conclusion References Providing Context Awareness in the Smart Car Environment: State of the Art Abstract 1 Introduction 2 Background 2.1 Smart Car 2.2 Context-Awareness 3 Related Work Review 4 Comparative Study 4.1 Criteria 4.2 Comparison and Discussion 5 Smart Car Context-Awareness Model 6 Conclusion References Applying External Guidance Commands to Deep Reinforcement Learning for Autonomous Driving Abstract 1 Introduction 2 Related Work 3 Deep Reinforcement Learning with External Commands 3.1 Actor-Critic DRL for Continuous Action Space 3.2 DRL with External Control Commands 4 Application on Self-driving Car 4.1 CARLA Self-driving Simulator 4.2 DDPG for Self Driving Car 4.3 A3C for Self Driving Car 4.4 DDPG and A3C with External Commands 4.5 DDPGG and A3CG Model Training 4.6 DRL with Guidance (A3CG and DDPG): Test Results 4.7 Results Summary 5 Conclusion References Image Correlation Based Smart Throttle-Brake Control System for Disability Vehicles Abstract 1 Introduction 2 Related Work 3 Intelligent Brake System 3.1 Collision Avoidance System 3.2 Anti-lock Braking System (ABS) 4 Proposed Intelligent Throttle and Brake Control System 4.1 Correlation Based Image Processing 5 Implementation and Results 6 Conclusion References A Multi-layer System for Maritime Container Terminal Management Using Internet of Things and Big Data Technologies Abstract 1 Introduction 2 Related Works 3 Description of Container Terminal Management 4 Description and Comparison of Different Technologies Related to IoT and Big Data 4.1 Internet of Things Technologies 4.2 Big Data Technologies 5 The Architecture of the Proposed System 5.1 Data Reception 5.2 Data Management 5.3 Data Interpretation for Decision Making 6 Conclusion References Meteorological Parameters Prediction Along Roads Between Two Cities for the Safest Itinerary Selection Abstract 1 Introduction 2 Related Works 3 Time Series Modeling 4 Autoregressive Integrated Moving Average (ARIMA) Models 5 The Proposed System 5.1 Collection
دانلود کتاب [Lecture Notes in Intelligent Transportation and Infrastructure] Innovations in Smart Cities Applications Edition 3 (The Proceedings of the 4th International Conference on Smart City Applications) ||