Note: Intro -- Preface -- HIS-NaBIC 2020 Organization -- General Chairs -- Program Chairs -- Publication Chairs -- Publicity Chairs -- International Program Committee -- Contents -- Vertical Interior Distance Ratio to Minimum Bounding Rectangle of a Shape -- 1 Introduction -- 2 Related Work -- 2.1 CCD (Centroid Contour Distance) -- 2.2 SC (Shape Context) -- 3 VIDR -- 3.1 Minimum Bounding Rectangle -- 3.2 Vertical Interior Distance Proportional Distribution -- 3.3 Shape Matching -- 4 Experimental Results and Analysis -- 5 Conclusion -- References -- Auto-Encoder Based Wavelet and Extreme Learning Machine for Face Recognition -- 1 Introduction -- 2 Proposed Approach -- 2.1 Deep Learning -- 2.2 Wavelet Neural Network (WNN) -- 2.3 Extreme Learning Machine -- 2.4 Auto-Encoder -- 2.5 ELM Auto-Encoder -- 2.6 The Proposed Model -- 3 Results -- 3.1 Database Description -- 3.2 Results and Discussion -- 4 Conclusion -- References -- Sparse Wavelet Auto-encoder for Covid-19 Cases Identification -- 1 Introduction -- 2 Stacked Sparse Auto-encoders -- 3 Methodology -- 4 Sparse Auto-encoder Based Patches -- 5 Deep Network Based on Stacked Auto-encoders -- 6 Experimental Results and Discussion -- 7 Conclusion -- References -- Design Guide Prediction Model for the Legal Interactions (GPM-LI) -- 1 Introduction -- 2 Build GPM-LI -- 2.1 Preprocessing Stage -- 2.2 Build GPM-LI Predictor -- 3 Experiments -- References -- Unsupervised Image Segmentation Using THMRF Model -- 1 Introduction -- 2 Tweedie Hidden Markov Random Field Models: THMRF Models -- 3 Parameters Estimation: The THMRF-EMM Algorithm -- 3.1 The Proposed Segmentation Algorithm -- 3.2 Evaluation Criteria -- 3.3 The Proposed Segmentation Algorithm with Synthetic Image (K=2 Regions) -- 3.4 The Proposed Segmentation Algorithm with Real Brain MRI -- 4 Conclusion -- References. , Maximizing an Organization's Operating Enactment in the Areas of Planning and Management -- 1 Introduction -- 2 Material and Method -- 2.1 Research Objective and Scope -- 2.2 Research Problem -- 2.3 Methodology -- 2.4 Design/Scheme of Research -- 3 Results -- 3.1 Data Collection Planning and Organizational Management -- 3.2 Data Analysis -- 4 Discussions -- 5 Conclusions -- References -- Accent and Gender Recognition from English Language Speech and Audio Using Signal Processing and Deep Learning -- 1 Introduction -- 2 Relevant Literature -- 3 Speech Classification Modeling -- 3.1 Problem Statement -- 3.2 English Language Accent Dataset -- 3.3 Feature Extraction Algorithms -- 3.4 Deep Learning Architecture Search -- 3.5 Experimental Setup -- 4 Results and Discussion -- 5 Conclusion -- References -- Improved Path Planning with Memory Efficient A* Algorithm and Optimization of Narrow Passages -- 1 Introduction -- 2 Related Work on Path Finding Algorithms -- 3 Distance Calculation and Grid Navigation -- 4 Considered Algorithms -- 5 Computational Experiments -- 5.1 Model -- 5.2 Simulations -- 5.3 Simulation Settings -- 6 Results -- 7 Conclusions -- References -- Intelligent Mobile Application to Determine the Existence of Medicines Associated with COVID-19 in a Social Network of Medical Dispensaries in a Smart City -- 1 Introduction -- 2 Dataset Analysis -- 3 Selection of Adequate Metaheuristics to Optimize the Problem: Cultural Algorithms -- 4 Intelligent Tool Developed -- 5 Conclusions and Future Research -- References -- NoSQL Data Lake: A Big Data Source from Social Media -- 1 Introduction -- 2 Data Lake Concept -- 3 Related Work -- 4 Big Data Source -- 4.1 Social Media Data Extraction -- 4.2 Social Media Data Integration to NoSQL Data Lake -- 5 Implementation and Evaluation -- 6 Conclusion -- References. , Text Classification Using Convolution Neural Networks with FastText Embedding -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Embedding Model Generation -- 3.2 Text to Feature Representation Module -- 3.3 Text Classification Training Module -- 3.4 Testing Module -- 4 Experiments -- 4.1 Text Corpus -- 5 Results and Analysis -- 5.1 Comparison with the Previous Techniques -- 6 Conclusion -- References -- Deep Convolutional Neural Network Based on Wavelet Transform for Super Image Resolution -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 LR-Image Decomposition Based on DWT -- 3.2 The Convolutional Neural Network for Feature Extraction -- 3.3 HR-Image Reconstruction -- 4 Experimental Results -- 5 Conclusion -- References -- Optimizing Instance Selection Strategies in Interactive Machine Learning: An Application to Fraud Detection -- 1 Introduction -- 2 Interactive Learning -- 3 An Interactive Learning System for Fraud Detection -- 4 Instance Selection Strategies vs. Learning Curve -- 5 Validation and Results -- 6 Conclusions -- References -- Building IoT Analytics and Machine Learning with Open Source Software for Prediction of Environmental Data -- 1 Introduction -- 2 System Model Architecture with Applications -- 2.1 A Typical BigData Architecture -- 2.2 The Proposed System Model -- 2.3 Implementation Results -- 3 Conclusions -- References -- ANFIS-Based Inverse Kinematics and Forward Dynamics of 3 DOF Serial Manipulator -- 1 Introduction -- 2 Modeling and Analysis -- 2.1 Kinematic Analysis -- 2.2 Dynamic Analysis -- 3 Adaptive Neuro-Fuzzy Inference System -- 4 Results and Discussion -- 4.1 Inverse Kinematics -- 4.2 Forward Dynamics -- 5 Conclusion -- References -- Design and Development of Intelligent Pesticide Spraying System for Agricultural Robot -- 1 Introduction -- 2 Literature Review. , 3 Design, Development and Testing -- 3.1 Tracked Mobile Manipulator -- 3.2 Spraying System Description -- 3.3 Circuit Design and Simulation -- 3.4 Fuzzy Logic Controller -- 4 Hardware Description and Experimentation -- 5 Conclusion -- References -- Solving Dynamic Bag-of-Tasks Scheduling Problem in Heterogeneous Multi-cloud Environment Using Hybrid Bi-Level Optimization Model -- 1 Introduction -- 2 DBoTSP Formulation -- 3 Proposed HBDBoTSP -- 3.1 Upper Level Optimization Procedure -- 3.2 Lower Level Optimization Procedure -- 4 Experimental Study -- 5 Conclusion -- References -- Caching Mechanisms Evolution in CCN Architectures -- 1 Introduction -- 2 CCN: Most Popular ICN Approach -- 3 Overview of Existing Caching Mechanisms -- 3.1 Performance Measures -- 3.2 Caching Mechanisms in CCN -- 3.3 Caching Mechanisms in Hybrid Solutions Combining SDN and CCN -- 4 Simulation Experiments -- 5 Issues and Future Research Directions -- 5.1 Caching Improvements with Users' Behaviour Support -- 5.2 Popular Content Caching -- 5.3 Large-Scale Caching Related Issues -- 5.4 Service Vs Data Caching -- 5.5 The Tradeoff Between Gain and Cost -- 5.6 Energy Efficiency -- 5.7 Security -- 6 Conclusion -- References -- SentiLSTM: A Deep Learning Approach for Sentiment Analysis of Restaurant Reviews -- 1 Introduction -- 2 Related Work -- 3 Corpora Development -- 4 Methodology -- 4.1 Text to Vector Representation -- 4.2 Model Architecture -- 4.3 Sentiment Classifier Model -- 5 Experiments -- 5.1 Hyperparameters -- 5.2 Results -- 6 Conclusion -- References -- Characterizing Antennas' Radiation Pattern Using Bernoulli Lemniscates -- 1 Introduction -- 2 Linkage System and Lemniscates of Bernoulli -- 3 Linkage System for Lemniscate Curves -- 4 Applications and Insights -- 4.1 Applications to Some Common Antennas -- 4.2 Discussion and Insights -- 5 Conclusion -- A Appendices. , A.1 Proof of Proposition 1 -- A.2 Proof of Proposition 2 -- A.3 Proof of Proposition 3 -- References -- Analysis of Metaheuristics Feature Selection Algorithm for Classification -- 1 Introduction -- 2 Research Methodology -- 2.1 Data Set Description -- 3 Result and Discussion -- 3.1 Comparison of CHPSO-DE and Filter-Based Feature Selection Technique -- 3.2 Comparison of CHPSO-DE and Wrapper-Based Metaheuristics Feature Selection Technique -- 3.3 Evaluation of the Performance of Feature Selection Algorithm Using Education Datasets -- 4 Conclusion -- References -- Hybrid Genetic Algorithms to Solve the Traveling Salesman Problem -- 1 Introduction -- 2 Related Work -- 3 The Traveling Salesman Problem -- 4 Hybrid Solution Approach -- 4.1 Nearest Neighbor Algorithm -- 4.2 Adapted Genetic Algorithm -- 5 Computation Experiments and Results -- 5.1 Experiment Setup -- 5.2 Results -- 6 Discussion -- 7 Conclusion and Outlook -- References -- Hybridization of Adaboost with Random Forest for Real-Time Prediction of Online Shoppers' Purchasing Intention -- 1 Introduction -- 2 Literature Review -- 3 Suggested System -- 3.1 Functional Description -- 3.2 Data Description -- 3.3 Prediction -- 4 Experiments and Results -- 5 Conclusion and Prospects -- References -- Change Detection in Satellite Imagery: A Multi-label Approach Using Convolutional Neural Network -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Preparation of Dataset -- 3.2 Application of Sliding Window on Satellite Images -- 3.3 Data Augmentation -- 3.4 Preprocessing and Post-processing of Images -- 3.5 Neural Network Architecture -- 3.6 Loss and Activation Function -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Inverse Neural Control of a Magnetic Levitation System: Experimental Results -- 1 Introduction -- 2 System Analysis -- 2.1 System Modeling. , 2.2 System Parameters.

Note: Intro -- Preface -- Contents -- Type-2 and Intuitionistic Fuzzy Logic -- 1 General Type-2 Fuzzy Edge Detection in the Preprocessing of a Face Recognition System -- Abstract -- 1 Introduction -- 2 Overview of General Type-2 Fuzzy Sets -- 2.1 Definition of General Type-2 Fuzzy Sets -- 2.2 General Type-2 Fuzzy Systems -- 2.3 General Type-2 Fuzzy Systems Approximations -- 3 Edge Detection and Filters -- 3.1 Prewitt Operator -- 3.2 Sobel Operator -- 3.3 Low-Pass Filter -- 3.4 High-Pass Filter -- 4 Edge Detection Improved with a General Type-2 Fuzzy System -- 5 Face Recognition System Using Monolithic Neural Network and a GT2 Fuzzy Edge Detector -- 6 Experimental Results -- 7 Conclusions -- Acknowledgment -- References -- 2 An Overview of Granular Computing Using Fuzzy Logic Systems -- Abstract -- 1 Introduction -- 2 Fuzzy Logic Systems -- 2.1 Type-1 Fuzzy Logic Systems -- 2.2 Interval Type-2 Fuzzy Logic Systems -- 3 Overview of Fuzzy Information Granule Research -- 3.1 Fuzzy Information Granules Using Type-1 Fuzzy Logic Systems -- 3.2 Higher Type Fuzzy Information Granules Using Interval Type-2 Fuzzy Logic Systems -- 3.3 Other Fuzzy Concepts Used in Granular Computing -- 4 Trends in Research -- 5 Conclusion -- Acknowledgments -- References -- 3 Optimization of Type-2 and Type-1 Fuzzy Integrator to Ensemble Neural Network with Fuzzy Weights Adjustment -- Abstract -- 1 Introduction -- 2 Background and Basic Concepts -- 2.1 Basic Concepts -- 2.2 Overview of Related Works -- 3 Proposed Method and Problem Description -- 4 Optimization of the Type-1 and Type-2 Fuzzy Integration with GA and PSO -- 5 Simulation Results -- 6 Conclusions -- References -- 4 Interval Type-2 Fuzzy Possibilistic C-Means Optimization Using Particle Swarm Optimization -- Abstract -- 1 Introduction -- 2 Interval Type-2 Fuzzy Possibilistic C-Means Algorithm. , 3 Particle Swarm Optimization Algorithm -- 4 Optimization of Interval Type-2 Fuzzy C-Means Using Particle Swarm Optimization -- 5 Results -- 6 Conclusion -- References -- 5 Choquet Integral and Interval Type-2 Fuzzy Choquet Integral for Edge Detection -- Abstract -- 1 Introduction -- 2 Edge Detection -- 2.1 Morphological Gradient -- 3 Fuzzy Logic, Fuzzy Measures, and Choquet Integral -- 3.1 Fuzzy Measures and the Choquet Integral -- 3.2 Choquet Integral -- 3.2.1 Pseudocode of Choquet Integral -- 3.3 Interval Type-2 for Fuzzy Densities -- 3.4 Interval Type-2 Fuzzy Logic for Choquet Integral -- 4 Simulation Results -- 5 Results and Discussion -- 6 Conclusions -- Acknowledgment -- References -- 6 Bidding Strategies Based on Type-1 and Interval Type-2 Fuzzy Systems for Google AdWords Advertising Campaigns -- Abstract -- 1 Introduction -- 2 Type-2 Fuzzy Logic -- 3 Related Work -- 4 Proposed Method -- 5 Experiments -- 5.1 Type-1 Fuzzy Controller -- 5.2 Type-2 Fuzzy Controller -- 6 Simulation Results -- 6.1 First Experiment (Google Versus T1-FIS) -- 6.2 Second Experiment (Google Versus T1-FIS Versus IT2-FIS) -- 6.3 Comparison of the First Experiment Against Second Experiment -- 7 Conclusions -- 8 Future Work -- References -- 7 On the Graphical Representation of Intuitionistic Membership Functions for Its Use in Intuitionistic Fuzzy Inference Systems -- Abstract -- 1 Introduction -- 2 Preliminaries -- 3 Related Work -- 4 Proposed Approach -- 5 Conclusions -- 6 Future Work -- References -- 8 A Gravitational Search Algorithm Using Type-2 Fuzzy Logic for Parameter Adaptation -- Abstract -- 1 Introduction -- 2 Background and Basic Concepts -- 2.1 Previous Work -- 2.2 The Law of Gravity and Second Motion Law -- 2.3 Gravitational Search Algorithm -- 2.4 Benchmark Functions -- 3 Experimental Results -- 4 Conclusion -- Acknowledgments -- References. , Neural Networks Theory and Applications -- 9 Particle Swarm Optimization of the Fuzzy Integrators for Time Series Prediction Using Ensemble of IT2FNN Architectures -- Abstract -- 1 Introduction -- 2 Background and Basic Concepts -- 2.1 Mackey-Glass Time Series -- 2.2 Interval Type-2 Fuzzy Systems -- 2.3 Interval Type-2 Fuzzy Neural Networks (IT2FNN) -- 2.4 Particle Swarm Optimization -- 3 Problem Statement and Proposed Architecture -- 3.1 Design of the Fuzzy Integrators -- 3.2 Design of the Representation for the Particle Swarm Optimization -- 4 Simulations Results -- 5 Conclusion -- References -- 10 Long-Term Prediction of a Sine Function Using a LSTM Neural Network -- Abstract -- 1 Introduction -- 2 Long Short-Term Memory -- 2.1 Architectures -- 3 Experimental Results -- 3.1 Experimental Description -- 3.2 Results and Discussion -- 4 Conclusions -- Acknowledgments -- References -- 11 UAV Image Segmentation Using a Pulse-Coupled Neural Network for Land Analysis -- Abstract -- 1 Introduction -- 2 UAV System -- 2.1 System Design -- 2.2 Image Acquisition System -- 3 PCNN Model -- 4 SPCNN Model -- 4.1 Automatic Parameter Update -- 5 Results -- 6 Conclusions -- References -- 12 Classification of Arrhythmias Using Modular Architecture of LVQ Neural Network and Type 2 Fuzzy Logic -- Abstract -- 1 Introduction -- 2 LVQ -- 3 Fuzzy Systems -- 3.1 Type-2 Fuzzy Systems -- 4 Proposed Model -- 4.1 Arrhythmia Dataset -- 5 Simulation Results -- 6 Conclusions -- References -- 13 A New Method Based on Modular Neural Network for Arterial Hypertension Diagnosis -- Abstract -- 1 Introduction -- 2 Neural Networks -- 3 Hypertension Arterial -- 4 Pulse Pressure -- 4.1 Exam Preparation -- 4.2 Normal Values -- 4.3 Bradycardia -- 4.4 Sinus Tachycardia -- 5 Problem Statement and Proposed Method -- 6 Simulation Results -- 7 Conclusions -- Acknowledgments -- References. , 14 Spectral Characterization of Content Level Based on Acoustic Resonance: Neural Network and Feedforward Fuzzy Net Approaches -- Abstract -- 1 Introduction -- 2 Motion of a Beam in Transverse Vibration -- 3 Fuzzy System with Gradient Descent Training -- 3.1 Neural Network Overview -- 4 Experimental Setup -- Methods and Materials -- 4.1 Acoustic Data Acquisition Stage -- 4.2 Data Processing Stage -- 5 Experimental Results -- 6 Conclusions -- Acknowledgments -- References -- 15 Comparison of Optimization Techniques for Modular Neural Networks Applied to Human Recognition -- Abstract -- 1 Introduction -- 2 Basic Concepts -- 2.1 Modular Neural Networks -- 2.2 Hierarchical Genetic Algorithms -- 2.3 Granular Computing -- 2.4 Firefly Algorithm -- 2.5 Grey Wolf Optimizer -- 3 Proposed Method -- 3.1 Iris Database -- 4 Experimental Results -- 4.1 Hierarchical Genetic Algorithm -- 4.2 Firefly Algorithm -- 4.3 Grey Wolf Optimizer -- 4.4 Comparison of Results -- 5 Conclusions -- References -- 16 A Competitive Modular Neural Network for Long-Term Time Series Forecasting -- Abstract -- 1 Introduction -- 2 Nonlinear Autoregressive Model -- 3 Competitive Modular Neural Network -- 4 Training -- 5 Experiments -- 6 Conclusions -- References -- Fuzzy Metaheuristics -- 17 Differential Evolution Using Fuzzy Logic and a Comparative Study with Other Metaheuristics -- Abstract -- 1 Introduction -- 2 Differential Evolution -- 2.1 Population Structure -- 2.2 Initialization -- 2.3 Mutation -- 2.4 Crossover -- 2.5 Selection -- 3 Proposed Method -- 4 Fuzzy System to Dynamically Modify the F Parameter -- 5 Benchmark Function -- 6 Wilcoxon Test Statistics -- 7 Conclusions -- References -- 18 An Adaptive Fuzzy Control Based on Harmony Search and Its Application to Optimization -- Abstract -- 1 Introduction -- 2 Harmony Search Algorithm. , 2.1 Operators Process of Improvisation the Harmony Memory -- 2.1.1 Memory in the Harmony Search Algorithm (HMR) -- 2.1.2 Pitch Adjustment (PArate) -- 2.1.3 Randomization -- 2.2 Pseudo Code for Harmony Search -- 3 Proposed Method -- 4 Methodology for Parameter Adaptation -- 5 Simulation Results Comparison Harmony Search Algorithm with Fuzzy Harmony Search Algorithm -- 6 Simulation Results Comparison Harmony Search Algorithm with Fuzzy Bat Algorithm -- 7 Statistical Comparison -- 8 Conclusions -- Acknowledgment -- References -- 19 A Review of Dynamic Parameter Adaptation Methods for the Firefly Algorithm -- Abstract -- 1 Introduction -- 2 Firefly Algorithm -- 2.1 Firefly's Movement -- 2.2 Light Intensity and Attractiveness -- 2.3 Restriction Coefficient -- 2.4 Distance -- 2.5 Randomization -- 3 Parameter Control -- 3.1 Parameter Tuning -- 3.2 Parameter Control -- 4 FA Applications -- 4.1 Firefly Algorithm Parameter Adjustment -- 4.2 Fuzzy Control for Parameter Adjustment -- 5 Conclusions -- References -- 20 Fuzzy Dynamic Adaptation of Parameters in the Water Cycle Algorithm -- Abstract -- 1 Introduction -- 2 Nonlinear the Water Cycle Algorithm -- 2.1 The Landscape -- 2.2 The Run-off Process -- 2.3 Evaporation and Precipitation Processes -- 2.4 Steps of WCA -- 3 Similarities and Differences with Other Metaheuristics -- 3.1 Hierarchical Particle Swarm Optimization -- 3.2 Grey Wolf Optimizer -- 4 Fuzzy Parameter Adaptation -- 4.1 Mamdani's Fuzzy Inference System -- 5 Experiments and Comparisons -- 6 Conclusions -- References -- 21 Fireworks Algorithm (FWA) with Adaptation of Parameters Using Fuzzy Logic -- Abstract -- 1 Introduction -- 2 Fireworks Algorithm (FWA) -- 2.1 FWA -- 2.2 Number of Sparks -- 2.3 Explosion Amplitude -- 2.4 Selection of Locations -- 3 Proposed Method -- 4 Benchmark Functions -- 4.1 Ackley Function -- 4.2 Griewank Function. , 4.3 Rastringin Function.

Note: Intro -- Preface -- About This Book -- Contents -- Nonlinear Elliptic Boundary Value Problems by Topological Degree -- 1 Introduction -- 2 Mathematical Preliminaries -- 2.1 Weighted Lebesgue and Sobolev Spaces with Variable Exponents -- 2.2 Some Class of Operators and Topological Degree -- 3 Main Result -- 3.1 Basic Assumptions and Technical Lemmas -- 3.2 Existence of Weak Solution -- References -- On Some Class of Quasilinear Elliptic Systems with Weak Monotonicity -- 1 Introduction -- 2 Galerkin Approximation -- 3 Proof of Theorem 1 -- References -- A Sub-supersolutions Method for a Class of Weighted (p(.), q(.))-Laplacian Systems -- 1 Introduction -- 2 Preliminaries and Basic Assumptions -- 3 Main Results -- 3.1 Proof of Theorem 1 -- References -- Boundary Regional Controllability of Linear Boolean Cellular Automata Using Markov Chain -- 1 Introduction -- 2 Cellular Automata Models and Its Properties -- 2.1 Important Properties -- 3 Boundary Regional Controllability of Linear Boolean Cellular Automata -- 3.1 Problem Statement -- 4 Conclusion -- References -- Fuzzy Solutions for Impulsive Evolution Equations -- 1 Introduction -- 2 Preliminaries -- 3 Main Results -- 3.1 Fuzzy Semigroups -- 3.2 Impulsive Fuzzy Evolution Equations -- References -- Regional Robustness Optimal Control Via Strong Stabilization of Semilinear Systems -- 1 Introduction -- 2 Regional Strong Stabilization and Robustness -- 2.1 Regional Strong Stabilization -- 2.2 Robustness of Regional Strong Stabilization -- 3 Regional Optimal Stabilization and Robustness -- 3.1 Regional Optimal Stabilization -- 3.2 Robustness of Regional Optimal Stabilization -- 4 Application -- 4.1 Example (Equation 1) -- 4.2 Example (Wave Equation) -- 4.3 Example (Schrödinger Equation) -- 5 Conclusion -- References. , Solving Generalized Fractional Schrodinger's Equation by Mean Generalized Fixed Point -- 1 Introduction -- 2 Preliminaries -- 3 Generalized Semigroups -- 3.1 Locally Convex Spaces -- 3.2 Generalized Semigroups -- 4 Generalized Fixed Points -- 4.1 Contractions in Locally Convex and Complete Spaces -- 4.2 Contraction Operator in tildeX -- 5 Mains Results -- References -- Relaxed Controllability for Parabolic Linear Systems Using RHUM Approach -- 1 Introduction -- 2 Enlarged Internal Controllability -- 3 RHUM Approach -- 4 Minimum Energy Control -- 5 Conclusion -- References -- A New Mathematical Model for the Efficiency Calculation -- 1 Introduction -- 2 Literature Review -- 3 A New Theoretical Model -- 4 An Illustrative Numerical Application -- 5 Conclusions -- References -- Minimum Energy Control of Fractional Linear Systems Using Caputo-Fabrizio Derivative -- 1 Introduction -- 2 Preliminaries -- 3 Regional Fractional Controllability -- 4 Minimum Energy Control -- 5 Conclusion and Perspectives -- References -- Parametric Identification of the Dynamics of Inter-Sectoral Balance: Modelling and Forecasting -- 1 Introduction -- 2 Problem Statement -- 3 Algorithm -- 4 Implementation -- 5 Conclusions -- References -- Ekeland's Variational Principle for the Fractional p(x)-Laplacian Operator -- 1 Introduction -- 2 Some Preliminary Results -- 3 Main Results -- References -- Observer-Based Tracking Control Design for a Class of Nonlinear Discrete-Time Systems -- 1 Introduction -- 2 Problem Statement and Preliminaries -- 3 Observer Design -- 4 Controller Design -- 5 Numerical Examples -- 6 Conclusion -- References -- On the Output Stabilization for a Class of Infinite Dimensional Bilinear Systems -- 1 Introduction -- 2 Output Stabilization -- 2.1 Output Strong Stabilization -- 2.2 Output Weak Stabilization -- 3 An Output Stabilization Problem. , 4 Simulations -- 5 Conclusion -- References -- Bilinear Boundary Control Problem of an Output of Parabolic Systems -- 1 Introduction -- 2 Existence of an Boundary Optimal Control -- 3 Characterization of an Optimal Control -- 4 Algorithm and Simulations -- 5 Conclusion -- References -- Optimal Control of a Parabolic Trough Receiver Distributed Model -- 1 Introduction -- 2 The Simplified Model -- 3 Optimal Control Problem -- 4 Simulations -- References -- Strong and Exponential Stabilization for a Class of Second Order Semilinear Systems -- 1 Introduction -- 2 Stabilization of Bilinear Systems -- 2.1 Strong Stabilization -- 2.2 Exponential Stabilization -- 3 Stabilization of Semilinear Systems -- 4 Simulations Results -- 5 Conclusion -- References -- On the Fractional Output Stabilization for a Class of Infinite Dimensional Linear Systems -- 1 Introduction -- 2 Fractional Derivative Stability -- 2.1 Considered System and Definitions -- 2.2 Characterization of the Fractional Derivative Stability -- 3 Fractional Derivative Stabilization -- 3.1 Riccati Method -- 3.2 Stabilization Control Problem -- 4 Simulation Results -- 5 Conclusion -- References -- Regional Boundary Observability with Constraints on the State of Semilinear Parabolic Systems -- 1 Introduction -- 2 Problem Statement and Preliminaries -- 3 Regional Boundary Enlarged Observability -- 4 Lagrangian Multiplier Approach -- 5 Numerical Approach -- 6 Simulation Results -- 7 Conclusion -- References.

Note: Intro -- Preface -- Contents -- 1 Introduction -- References -- 2 Theory and Background -- References -- 3 Self-defense of the Plants -- References -- 4 Predator-Prey Model -- 4.1 Analysis of the Lotka and Volterra Model -- References -- 5 Proposed Method -- 5.1 Biological Reproduction Method and Proposed Approach -- References -- 6 Case Studies -- 6.1 Case Study One: Optimization of Benchmark Mathematical Functions -- 6.1.1 Simulations Results -- 6.1.2 Statistical Comparison -- 6.2 Case Study Two: Optimization of CEC-2015 Benchmark Mathematical Functions -- 6.2.1 Parameters for the Algorithm -- 6.2.2 Simulation Results -- 6.2.3 Statistical Comparison -- 6.3 Case Study Three: Proposed Algorithm with Dynamic Adjustment Using Type-1 Fuzzy Logic Approach -- 6.3.1 Simulation Result -- 6.3.2 Preliminary Conclusions -- 6.4 Case Study Three: Proposed Algorithm with Dynamic Reproduction Method Using Type 1 Fuzzy Approach -- 6.4.1 The Fuzzy Controller Number Two Has the Following Characteristics -- 6.4.2 Preliminary Conclusions -- 6.5 Case Study Three: Proposed Algorithm with a Type-2 Fuzzy Approach -- 6.5.1 Characteristics of the Used Fuzzy Controller -- 6.5.2 Characteristics of the Problem to Optimize -- 6.5.3 Characteristics of the Fuzzy Controller Used for the Robot -- 6.5.4 Simulation Results -- 6.5.5 Statistical Comparison -- References -- 7 Conclusions -- Reference -- Bibliography -- Index.

Note: Intro -- Preface -- Contents -- Part I Theory -- 1 Fuzzy Logic for Dynamic Parameter Tuning in ACO and Its Application in Optimal Fuzzy Logic Controller Design -- Abstract -- 1 Introduction -- 2 Ant Colony Optimization (ACO) -- 3 Performance Analysis of ACO -- 4 Fuzzy Logic Convergence Controller -- 5 Simulation in TSP Problems -- 6 Fuzzy Trajectory Controller for a Unicycle Mobile Robot -- 7 ACO for Membership Functions Optimization -- 8 ASRank + ConvCont for Membership Functions Optimization -- 9 Simulation in Membership Functions Optimization Problem -- 10 ASRank + ConvCont vs. S-ACO -- 11 Conclusions -- References -- 2 Fuzzy Classification System Design Using PSO with Dynamic Parameter Adaptation Through Fuzzy Logic -- Abstract -- 1 Introduction -- 2 Methodology for Parameter Adaptation -- 3 Experimentation with the Fuzzy Systems and the Benchmark Mathematical Functions -- 4 Statistical Comparison -- 5 Fuzzy Classifier Design -- 6 Methodology for Designing Fuzzy Classifiers -- 7 Experimentation in the Design of Fuzzy Classifiers -- 8 Statistical Comparison for Fuzzy Classifiers -- 9 Conclusions -- References -- 3 Differential Evolution with Dynamic Adaptation of Parameters for the Optimization of Fuzzy Controllers -- Abstract -- 1 Introduction -- 2 Differential Evolution -- 2.1 Population Structure -- 2.2 Initialization -- 2.3 Mutation -- 2.4 Crossover -- 2.5 Selection -- 3 Proposed Method -- 4 Benchmark Function -- 5 Fuzzy System -- 6 Experiments and Methodology -- 7 Simulation Results -- 8 Conclusions -- References -- 4 A New Bat Algorithm with Fuzzy Logic for Dynamical Parameter Adaptation and Its Applicability to Fuzzy Control Design -- Abstract -- 1 Introduction -- 2 Bat Algorithm -- 2.1 Rules of Bats -- 2.2 Pseudocode for the Bat Algorithm -- 2.3 Movements in the Bat Algorithm -- 2.4 Loudness and Pulse Rates -- 3 Genetic Algorithms. , 3.1 Representation -- 3.2 Crossover Operations -- 3.3 Mutation -- 4 Benchmark Mathematical Functions -- 5 Results Between GA and the Bat Algorithm -- 6 Proposed Method -- 7 Bat Algorithm Apply to the Inverted Pendulum -- 8 Conclusions -- Acknowledgments -- References -- 5 Optimization of Benchmark Mathematical Functions Using the Firefly Algorithm with Dynamic Parameters -- Abstract -- 1 Introduction -- 2 Firefly Algorithm -- 2.1 Attractiveness -- 2.2 Distance -- 2.3 Movement -- 3 Methodology for Parameter Adaptation -- 4 Experimentation with Benchmark Mathematical Functions -- 5 Conclusion -- 6 Cuckoo Search via L00E9vy Flights and a Comparison with Genetic Algorithms -- Abstract -- 1 Introduction -- 2 Cuckoo Search Algorithm -- 2.1 Variants -- 2.2 L00E9vy Flights -- 2.3 Pseudo Code for Cuckoo Search Algorithm -- 2.4 Generate a New Solution -- 3 Genetic Algorithms -- 3.1 Representation---the Chromosome -- 3.2 Crossover Operations -- 3.3 Mutation -- 4 Benchmark Mathematical Functions -- 5 Simulation Results -- 5.1 Simulation Results with the Cuckoo Search Algorithm -- 5.2 Simulation Results with The Genetic Algorithm (GA) -- 6 Conclusions -- Acknowledgment -- References -- 7 A Harmony Search Algorithm Comparison with Genetic Algorithms -- Abstract -- 1 Introduction -- 2 Harmony Search Algorithm -- 2.1 Memory in Harmony Search Algorithm -- 2.2 Pitch Adjustment -- 2.3 Randomization -- 2.4 Pseudo Code for Harmony Search Algorithm -- 2.5 Variants -- 2.6 Application Areas -- 3 Genetic Algorithms -- 3.1 Representation -- 3.2 Crossover Operations -- 3.3 Mutation -- 4 Benchmark Mathematical Functions -- 5 Optimization Problems -- 6 Simulation Results -- 6.1 Simulation Results with Harmony Search Algorithm -- 6.2 Simulation Results with the Genetic Algorithm -- 7 Conclusions -- Acknowledgments -- References -- Part II Applications. , 8 A Gravitational Search Algorithm for Optimization of Modular Neural Networks in Pattern Recognition -- Abstract -- 1 Introduction -- 2 Basic Concepts -- 2.1 Modular Neural Networks -- 2.2 The Law of Gravity and Second Motion Law -- 2.3 Gravitational Search Algorithm -- 2.4 Parameters Settings in the Gravitational Search Algorithm -- 3 Modular Neural Network Architecture -- 3.1 Database of Echocardiograms Recognition -- 4 Experimental Results -- 5 Conclusions -- References -- 9 Ensemble Neural Network Optimization Using the Particle Swarm Algorithm with Type-1 and Type-2 Fuzzy Integration for Time Series Prediction -- Abstract -- 1 Introduction -- 2 Optimization -- 3 Particle Swarm Optimization -- 4 Fuzzy Systems as Methods of Integration -- 5 Problem Statement and Proposed Method -- 6 Simulation Results -- 7 Conclusions -- Acknowledgment -- References -- 10 Clustering Bin Packing Instances for Generating a Minimal Set of Heuristics by Using Grammatical Evolution -- Abstract -- 1 Introduction -- 2 Bin Packing Problem -- 2.1 Instances -- 2.2 Fitness Measure -- 2.3 Heuristics -- 2.4 Clustering -- 3 Grammatical Evolution -- 3.1 Mapping Process -- 4 Experiments -- 5 Results -- 6 Conclusions and Future Work -- Acknowledgement -- References -- 11 Comparative Study of Particle Swarm Optimization Variants in Complex Mathematics Functions -- Abstract -- 1 Introduction -- 2 Standard PSO Algorithm -- 3 Variants of PSO -- 3.1 Inertia Weight -- 4 Fuzzy Logic -- 4.1 Fuzzy System -- 5 Simulation Results for Mathematical Functions -- 5.1 F1 Function -- 5.2 F2 Function -- 5.3 F3 Function -- 5.4 F4 Function -- 6 Conclusions -- References -- 12 Optimization of Modular Network Architectures with a New Evolutionary Method Using a Fuzzy Combination of Particle Swarm Optimization and Genetic Algorithms -- Abstract -- 1 Introduction -- 2 Genetic Algorithm for Optimization. , 3 Particle Swarm Optimization -- 4 FPSO + FGA Method -- 5 Full Model of FPSO + FGA -- 5.1 FPSO (Fuzzy Particle Swarm Optimization) -- 5.2 FGA (Fuzzy Genetic Algorithm) -- 5.3 Definition of the Fuzzy Systems Used in FPSO + FGA -- 6 Simulation Results for Modular Neural Network for Optimization -- 7 Conclusions -- Acknowledgments -- Reference.

Note: Intro -- Preface -- Contents -- An Ensemble Kalman Filtering Approach for Discrete-Time Inverse Optimal Control Problems -- 1 Introduction -- 2 Optimal and Inverse Optimal Control -- 3 Nonlinear Bayesian Filtering and the EnKF -- 3.1 Ensemble Kalman Filter -- 4 EnKF CLF Procedure for Inverse Optimal Control -- 5 Results -- 5.1 Numerical Example: Linear System -- 5.2 Numerical Example: Nonlinear System -- 6 Conclusion -- References -- Deep Learning Based Structural Health Monitoring Framework with Electromechanical Impedance Method -- Abstract -- 1 Introduction -- 2 Electromechanical Impedance (EMI) Technique -- 3 Issues of RMSD Technique -- 4 Condition Classification with Deep Learning -- 5 Performance Evaluation for Different EMI Features -- 6 Conclusion and Future Work -- References -- Flexible Control Schemes for Grid-Tied Inverters Under Unbalanced Grid Voltage Conditions -- Abstract -- 1 Introduction -- 2 The Mathematical Modeling of a Grid-Tied Inverter -- 3 The Proposed Control Schemes -- 4 The Simulation Studies and Results -- 4.1 Simulation Scenarios and Results -- 5 Conclusion -- Acknowledgment -- References -- Multiphase DC-DC Boost Converter: Introduction to Controller Design -- 1 Introduction -- 2 Literature Review -- 3 Modelling of Interleaved Boost Converter -- 4 Averaging and Small Signal Analysis -- 5 Controller Design -- 6 Stability Analysis -- 7 Simulation Results -- References -- Evaluation of the Visibility of Color Representation for Cell-Based Evacuation Guidance Simulation -- 1 Introduction -- 2 Related Studies -- 2.1 Behavior Models for Evacuation -- 2.2 Evacuation Behavior Models for Tourists -- 2.3 Simulator for Developing the Evacuation Guidance -- 3 Evaluation of Colors Assigned to Each Cell -- 4 Evaluation Based on the Number of Colors -- 4.1 Simulation of the Evacuation Behaviors of Tourists. , 4.2 Evaluation Results -- 5 Conclusion -- References -- Identifying Prophetic Bloggers Based on Prediction Ability of Buzzwords and Categories -- 1 Introduction -- 2 Categorizing a Blogger into Knowledgeable Categories -- 2.1 Extracting Knowledgeable Categories and Constructing Co-occurrence Dictionaries -- 2.2 Calculating a Blogger's Knowledge Score -- 3 Identifying Past Buzzwords -- 3.1 Determining Buzzword Candidates -- 3.2 Determining Buzzwords Based on Their Persistence -- 4 Analyzing Past Buzzwords' Properties -- 4.1 Extracting Peak Time Content Words -- 4.2 Calculating Growth Period Based on Content Similarity -- 5 Calculating a Blogger's Prediction Score on a Buzzword -- 6 Calculating a Blogger's Prediction Score on a Category -- 7 Experimental Evaluation -- 8 Related Work -- 9 Conclusions -- References -- Query Generation for Web Search Based on Spatio-Temporal Features of TV Program -- 1 Introduction -- 2 System Overview and Related Work -- 2.1 System Overview -- 2.2 Related Work -- 3 Query Keyword Extraction Based on Spatio-Temporal Features -- 3.1 Extraction and Classification of Location Names -- 3.2 Determination of Main Location Name, Sub-location Names, and Subtopics -- 3.3 Generation of Web Search Query -- 3.4 Recommendation of Web Pages -- 4 Preliminary Experiment -- 4.1 Questionnaire Survey -- 4.2 Result and Discussion -- 5 Conclusion -- References -- End to End Internet Traffic Measurement Model Based on Compressive Sampling -- Abstract -- 1 Introduction -- 2 Problem Statement -- 2.1 Internet Traffic Matrix (TM) -- 2.2 Compressive Sampling (CS) -- 3 Model and Algorithms -- 3.1 Sparse Matrix Representation -- 3.2 Sparse Vector Representation -- 4 Simulation Results and Analysis -- 5 Conclusion and Future Work -- Acknowledgment -- References -- Approach to the Segmentation of Buttons from an Elevator Inside Door Image. , 1 Introduction -- 2 Segmentation of Button Columns -- 2.1 Observation of an EID Image in Edge Domain -- 2.2 Projection and Checking Process -- 3 Segmentation of Buttons -- 3.1 Preliminary Segmentation -- 3.2 Refining Process with Frame Included -- 3.3 Refining Process Based on Contour Analysis -- 4 Result and Discussion -- 5 Conclusion -- References -- A Hybrid Visual Stochastic Approach to Dairy Cow Monitoring System -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Architecture of Proposed Dairy Cow Monitoring System -- 4 Some Simulated Experimental Results -- 5 Conclusion and Future Work -- Acknowledgment -- References -- Pre- and Post-survey of the Achievement Result of Novice Programming Learners - On the Basis of the Scores of Puzzle-Like Programming Game and Exams After Learning the Basic of Programming - -- 1 Introduction -- 2 Related Works -- 3 Skill Check Test Using Programming Game -- 3.1 Programming Game ``Algologic'' -- 3.2 Instruction with Algologic -- 4 Analysis Results -- 5 Discussion -- 6 Conclusion -- References -- A Proposal for an Impatience of Scoring Method for a Text-Based Smartphone Emergency Report -- 1 Introduction -- 2 Related Studies -- 2.1 Method to Estimate Emotions from Input Text -- 2.2 Research on Acquiring Information from Input Text -- 2.3 Method to Estimate Emotions from Motions -- 2.4 Measurement of Time Anxiety -- 3 Experiments -- 3.1 Outline -- 3.2 Measured Data -- 3.3 Outline of Experiment 1 -- 3.4 Results of Experiment 1 -- 3.5 Outline of Experiment 2 -- 3.6 Results of Experiment 2 -- 4 Conclusion -- References -- Gazing Point Comparison Between Expert and Beginner DJs for Acquisition of Basic Skills -- Abstract -- 1 Introduction -- 2 Related Research -- 3 System Overview -- 4 Experiment -- 5 Results -- 6 Conclusion -- References. , A Comparative Analysis of Image Segmentation Methods with Multivarious Background and Intensity -- Abstract -- 1 Introduction -- 2 Datasets -- 3 Intensity Based: Adaptive Threshold -- 4 Based Region: Growing Region -- 5 Watershed -- 6 Based Color: YCbCr-HSV -- 7 Clustering Based: K-Means -- 8 Clustering Based: Fuzzy C-Means -- 9 Clustering Based: Mean Shift -- 10 Grab Cut -- 11 Skin Color: HSV -- 12 Otsu Gaussian -- 13 Result and Analysis -- 14 Conclusion -- References -- Communication Interruption Between a Game Tree and Its Leaves -- 1 Introduction -- 2 Preliminaries -- 3 Consecutive Queries to a Particular Leaf -- 4 Height 1 Binary Tree -- 5 Generalization -- 6 The Theorem -- 7 Summary and Future Directions -- References -- Intermittent Snapshot Method for Data Synchronization to Cloud Storage -- Abstract -- 1 Introduction -- 2 Bulk-Copy Function and Its Problem in CoR -- 2.1 System Architecture -- 2.2 Bulk-Copy Function -- 2.3 Conventional Snapshot Methods and Their Challenges -- 2.3.1 Redirection on Write Snapshot Method (ROW) -- 2.3.2 Copy on Write Snapshot Method (COW) -- 2.4 Problems in Implementing Bulk-Copy Function -- 3 Intermittent Snapshot Method -- 3.1 Overview of Intermittent Snapshot Method -- 3.2 Design Criteria for Implementing Intermittent Snapshot Method -- 4 Implementation Design -- 4.1 Stochastic Petri-Net Model of Intermittent Snapshot Method -- 4.1.1 Main Process -- 4.1.2 Timing Control -- 4.2 Simulation Experiments and Results -- 4.2.1 Experimental Conditions -- 4.2.2 Calculations in Simulation -- 4.2.3 Experimental Results -- 5 Conclusion and Future Work -- Acknowledgment -- References -- Extraction and Graph Structuring of Variants By Detecting Common Parts of Frequent Clinical Pathways -- Abstract -- 1 Introduction -- 2 Variant in Clinical Pathways -- 3 Catheter Ablation -- 4 Method. , 4.1 Extracting Typical Clinical Pathways -- 4.2 Grouping the Clinical Pathways -- 4.3 Detecting Clinical Pathways Containing Variants -- 4.4 Representing Variant Patterns -- 4.5 Visualizing Variant Patterns -- 4.6 Deriving the Set of Nodes and Edges from the Variant Pattern -- 5 Experiment -- 5.1 Experimental Data -- 5.2 Results and Discussion -- 5.3 Visualization -- 6 Conclusion -- 7 Future Work -- Acknowledgment -- References -- Important Index of Words for Dynamic Abstracts Based on Surveying Reading Behavior -- 1 Introduction -- 2 Survey of Reading Behavior -- 2.1 The Experiments to Create Manually-Generated Abstract -- 2.2 Analytics of Manually-Generated Abstract -- 3 Proposed Methods -- 3.1 Motivations -- 3.2 Definition -- 4 Evaluation -- 4.1 Novels Used in the Experiment -- 4.2 Manually-Generated Dynamic Abstracts -- 4.3 Results and Discussions -- 5 Conclusion -- References -- New Chebyshev Operational Matrix for Solving Caputo Fractional Static Beam Problems -- 1 Introduction -- 2 Preliminaries -- 2.1 Definition of Caputo Fractional Derivative -- 2.2 Properties of Chebyshev Polynomials -- 2.3 The First Kind Shifted Chebyshev Polynomial Expansion -- 2.4 Chebyshev Operational Matrix for Caputo Fractional Derivatives -- 3 Chebyshev Solutions of the Static Beam -- 4 Error Bound of the Shifted Chebyshev Approximate Solution -- 5 Numerical Results -- 6 Conclusion -- References -- Stability Analysis and Solutions of a Fractional-Order Model for the Glucose-Insulin Homeostasis in Rats -- 1 Introduction -- 2 Preliminaries -- 3 Algorithms of the Used Methods -- 3.1 The Laplace Adomian Decomposition Method -- 3.2 Adams-Bashforth-Moulton Predictor-Corrector Scheme -- 4 Stability Analysis and Obtained Solutions -- 4.1 The Employed Methods: LAPM and PECE -- 4.2 Simulation Results -- 5 Conclusion -- References. , On Asymptotic Stability Analysis and Solutions of Fractional-Order Bloch Equations.

Note: Intro -- Preface -- Contents -- Fuzzy Semigroups and Fuzzy Nonlinear Evolution Equations -- 1 Introduction -- 2 Preliminaries -- 3 Fuzzy Strongly Continuous Semigroups -- 4 Nonlinear Evolution Fuzzy Equation -- 5 Continuous Dependence of a Mild Solution with Initial Data -- References -- On Fuzzy Localized Subring -- 1 Introduction -- 2 Fuzzy Multiplicative Closed Set -- 3 Localization of Rings of Fuzzy Points -- 4 Fuzzy Field of Fractions of Fuzzy Points -- References -- Coupled System of Nonlinear Fuzzy Volterra-Urysohn Integral Equations -- 1 Introduction -- 2 Preliminaries -- 3 Main Result -- 3.1 Coupled System of Fuzzy Volterra-Urysohn Integral Equations -- 3.2 Coupled System of Fuzzy Volterra-Hammerstein Integral Equations -- 3.3 Bounded Solutions -- 4 Conclusion -- References -- Optimal Bounded Control on the Velocity Term of a Bilinear Plate Equation -- 1 Introduction -- 2 Existence of an Optimal Control -- 3 Optimal Control Formulas -- 3.1 Time and Space Control Dependent -- 3.2 Time or Space Control Dependent -- 4 Numerical Approach and Simulations -- 5 Conclusion -- References -- Numerical Solution of Intuitionistic Fuzzy Differential Equations by Runge-Kutta Verner Method -- 1 Introduction -- 2 Preliminaries -- 2.1 Notations and Definitions -- 3 Intuitionistic Fuzzy Cauchy Problem -- 4 The Runge-Kutta Verner Method -- 5 Example -- 6 Conclusion -- References -- Fuzzy Hidden Markov Model in Images Segmentation -- 1 Introduction -- 2 Fuzzy Hidden Markov Chain Model -- 2.1 Hidden Markov Chain with Independent Noise -- 2.2 Fuzzy Hidden Markov Chain with Independent Noise -- 2.3 Parameters Estimation -- 3 Experimental Results -- 3.1 Visual Results -- 3.2 Quantitative Results -- 4 Conclusion -- References -- Solving the Intuitionistic Fuzzy Fractional Partial Differential Equations -- 1 Section Heading -- 2 Preliminaries. , 3 Caputo Differentiability of Intuitionistic Fuzzy Multivariable Functions -- 4 Intuitionistic Fuzzy Fractional Partial Differential Equation -- 5 Conclusions -- References -- Using Machine Learning with PySpark and MLib for Solving a Binary Classification Problem: Case of Searching for Exotic Particles -- 1 Introduction -- 2 Spark Environement -- 3 Proposed Methods -- 3.1 Logistic Regression (LR) -- 3.2 Decision Tree (DT) Method -- 3.3 Random Forest (RF) -- 3.4 Gradient Boosted Tree (GBT) -- 4 Distribution of ``SUSY'' Dataset -- 4.1 Split Data -- 4.2 Evaluation Functions -- 5 Experimental Results and Analysis -- 5.1 Experimental Results -- 5.2 Analysis and Discussion -- 6 Conclusion -- References -- On Some Results of Fuzzy Super-Connected Space -- 1 Introduction -- 2 Preliminaries -- 2.1 Fuzzy sets -- 2.2 Fuzzy Topology -- 2.3 Product Fuzzy Topology -- 3 Fuzzy Connectedness -- 4 Fuzzy Connected Subsets in an FTS -- 5 Fuzzy Super Connectedness -- 6 Characterization of Fuzzy Connectedness -- 7 Fuzzy Super-Connected Subspace -- 8 Main Results -- References -- Regional Optimal Control Problem of a Heat Equation with Bilinear Bounded Boundary Controls -- 1 Introduction -- 2 Existence of an Boundary Optimal Control -- 3 Characterization of an Optimal Control -- 4 Algorithm and Simulations -- 5 Conclusion -- References -- Fuzzy Equations for Mixed Convection in a Rectangular Cavity -- 1 Introduction -- 2 Preliminaries -- 3 Mixed Convection Heat Transfer for Nanofluids in a Lid-Driven Shallow Rectangular Cavity Uniformly Heated -- 4 Approximate Parallel Flow Fuzzy Analytical Solution -- 4.1 Fuzzy Solution -- 5 Conclusion -- References -- Likelihood and Decoding in a Partially Hidden Markov Model -- 1 Introduction -- 2 Partially Hidden Markov Model -- 2.1 HMM with One Known State at a Fixed Time -- 2.2 HMM with Two Known States at Fixed Times. , 3 Numerical Example -- 4 Conclusion -- References -- Solution of First Order Linear Intuitionistic Fuzzy Differential Equations by the Variation of Constants Formula -- 1 Introduction -- 2 Preliminaries -- 3 Solving First Order Linear Intuitionistic Fuzzy Differential Equations -- 4 Examples -- 4.1 Example -- 4.2 Example -- References -- A Secure Variant of the Fiat and Shamir Authentication Protocol Using Gaussian Integers -- 1 Introduction -- 2 Fiat and Shamir Identification Scheme ch14fiat -- 3 The Gaussian Integers -- 4 Our Contribution -- 4.1 Description of the Protocol -- 4.2 Security Analysis -- 4.3 Complexity -- 5 Conclusion -- References -- Resolution of a System of the Max-Product Fuzzy Relation Equations Using B°Bt -Factorization -- 1 Introduction -- 2 B°Bt -Factorization of a Fuzzy Matrix with Respect to the Max-Product Composition Operator -- 2.1 Time Computational Complexity of Algorithm 2.1 -- 3 Existence and Uniqueness of B°Bt -Factorization -- 4 Resolution of the System of the Max-Product Fuzzy Relation Equations Using the B°Bt -Factorization -- 4.1 An Algorithm for the Resolution of the System (3) -- 4.2 Time Computational Complexity of Algorithm 1 -- 4.3 Numerical Example -- 5 Conclusions -- References -- On an Infinite Family of Imaginary Triquadratic Number Fields -- 1 Introduction -- 2 Notations -- 3 Some Preliminary Results -- 4 The Main Result -- References -- Computational Methods for Solving Intuitionistic Fuzzy Linear Systems -- 1 Introduction -- 2 Preliminaries -- 3 Intuitionistic Fuzzy Linear System -- 3.1 Intuitionistic Fuzzy Linear System in General Case -- 3.2 Intuitionistic Fuzzy Linear System in Special Case -- 4 Examples -- 5 Conclusion -- References -- On the Principal Minors Assignment Problem for Skew-Symmetric Matrices -- 1 Introduction -- 2 Definitions and Examples -- 3 Examples -- 4 The Conjecture. , 5 Determining the Principal Minors of Skew-Symmetric Matrices -- 6 The Algorithm and Computational Results -- 6.1 The Program SMPM -- 6.2 Elementary Transformations for 6 times6 Matrices -- 6.3 Computational Results -- 6.4 Practicals Examples -- 7 The SMPM's Implementation in MATLAB -- References -- On a Class of Nonlinear Elliptic Unilateral Problems Involving Only a Growth Condition on Nonlinearities -- 1 Introduction -- 2 Preliminaries -- 3 Main Results -- References -- Social and Financial Performance in Moroccan Companies -- 1 Introduction -- 2 Literature Review -- 2.1 Corporate Social Responsibility (CSR) -- 2.2 The Link Between PSE and PFE: The Social Impact Hypothesis -- 2.3 Financial Performance -- 3 The Empirical Model -- 4 Discussion and Conclusion -- References.

Note: Intro -- Preface -- Contents -- 1 Introduction -- References -- 2 Background and Theory -- 2.1 Fuzzy Logic -- 2.2 Type-1 Fuzzy Inference Systems -- 2.3 Type-1 Mamdani Fuzzy Inference System -- 2.4 Type-1 Sugeno Fuzzy Inference System -- 2.5 Interval Type-2 Fuzzy Inference Systems -- 2.6 Interval Type-2 Mamdani Fuzzy Inference System -- 2.7 Interval Type-2 Sugeno Fuzzy Inference System -- 2.8 General Type-2 Fuzzy Inference Systems -- 2.9 Approximations of General Type-2 Fuzzy Inference Systems -- 2.10 Geometric Approximation -- 2.11 α-planes Approximation -- 2.12 Shadowed Type-2 Fuzzy Inference Systems -- 2.13 Type-2 Membership Functions -- 2.14 Type-2 Gaussian Membership Functions -- 2.14.1 Gaussian MF with Uncertainty in the σ -- 2.14.2 Gaussian MF with Uncertainty in the c -- 2.14.3 Double Gaussian MF with Uncertainty in the c and α -- 2.14.4 Generalized Type-2 Membership Functions Forms -- 2.15 Classification Methods -- 2.16 Support Vector Machine -- 2.17 Decision Trees -- 2.18 Artificial Neural Networks -- 2.19 Bagging and Boosting -- 2.20 Bagging -- 2.21 Boosting -- References -- 3 Proposed Methodology -- 3.1 Fuzzy Sets Parameters Obtaining -- 3.2 Statistical Measures to Obtain the Parameters of the MFs -- 3.3 Gaussian Regression -- 3.4 Optimized with Metaheuristics -- 3.5 Asymmetric Uncertainty -- 3.6 Rules Selection -- 3.7 Based on ANFIS Architecture -- 3.8 Descendent Gradient -- 3.9 Fuzzy Entropy -- 3.10 Sugeno Parameters Obtaining -- 3.11 General Type-2 Fuzzy Inference Systems for Diagnosis Problems -- 3.12 General Type-2 Fuzzy Diagnosis System (GT2 FDS) -- 3.13 Shadowed Type-2 Fuzzy Diagnosis System with PSO (ST2 + PSO FDS) -- 3.14 No-Singleton General Type-2 Fuzzy Diagnosis System (NS GT2 FDS) -- 3.15 General Type-2 Fuzzy Diagnosis System with SVM (SVM GT2 FDS). , 3.16 General Type-2 Fuzzy Diagnosis System with Asymmetric Uncertainty (ASY GT2 FDS) -- References -- 4 Experimental Results -- 4.1 Performance Comparison Based on Cross-Validation -- 4.2 Performance Comparison Based on Z-Test -- 4.3 Computational Cost Comparison -- 4.4 Computational Cost -- References -- 5 Discussion of Results -- 6 Conclusions.

Note: Intro -- Preface -- Contents -- Notations -- 1 Introduction -- References -- 2 Stabilization of Infinite Dimensional Linear Systems -- 2.1 Linear Semigroups -- 2.2 Stability of Infinite Dimensional Linear Systems -- 2.2.1 Definitions-Examples -- 2.2.2 Characterizations -- 2.3 Stabilization of Infinite Dimensional Linear Systems -- 2.3.1 Characterizations -- 2.3.2 Optimal Stabilization Problem -- References -- 3 Stabilization of Infinite Dimensional Semilinear Systems -- 3.1 Well Posed Systems -- 3.2 Stabilization of Infinite Dimensional Bilinear Systems -- 3.3 Stabilization of Infinite Dimensional Semilinear Systems -- 3.3.1 Existence and Uniqueness Results -- 3.3.2 Stabilization Results -- References -- 4 Regional Stabilization of Infinite Dimensional Linear Systems -- 4.1 Internal Regional Stability -- 4.1.1 Definitions -- 4.1.2 Examples -- 4.1.3 Characterization of Regional Stability -- 4.2 Internal Regional Stabilization -- 4.2.1 Definitions -- 4.2.2 Characterizations -- 4.2.3 Regional Stabilizing Control -- 4.2.4 Low Cost Regional Stabilization Problem -- 4.3 Numerical Examples -- 4.3.1 One Dimensional Case -- 4.3.2 Two Dimensional Case -- 4.4 Regional Boundary Stabilization -- 4.5 Optimal Control for Regional Boundary Stabilization -- 4.5.1 Direct Approach -- 4.5.2 Internal Approach -- References -- 5 Regional Stabilization of Infinite Dimensional Bilinear Systems -- 5.1 Regional Stabilization -- 5.1.1 Regional Exponential Stabilization -- 5.1.2 Regional Weak Stabilization -- 5.1.3 Regional Strong Stabilization -- 5.2 Regional Stabilization Problem -- 5.2.1 Case of Isometries Semigroup -- 5.2.2 Case of Contractions Semigroup -- 5.3 Simulation Results -- References -- 6 Regional Stabilization of Infinite Dimensional Semilinear Systems -- 6.1 Regional Stabilization -- 6.1.1 Regional Exponential Stabilization. , 6.1.2 Regional Strong Stabilization -- 6.1.3 Regional Weak Stabilization -- 6.2 Regional Stabilization Problem -- 6.3 Simulation Results -- References -- 7 Output Stabilization of Infinite Dimensional Semilinear Systems -- 7.1 Output Stabilization of Semilinear Systems -- 7.1.1 Output Exponential Stabilization -- 7.1.2 Output Strong Stabilization -- 7.1.3 Output Weak Stabilization -- 7.2 Output Stabilization of Bilinear Systems -- 7.2.1 Output Exponential Stabilization -- 7.2.2 Output Strong Stabilization -- 7.2.3 Output Weak Stabilization -- 7.2.4 Examples -- 7.3 Simulations -- References -- 8 Stabilization of Infinite Dimensional Second Order Semilinear Systems -- 8.1 Stabilization of Bilinear Systems -- 8.1.1 Strong Stabilization -- 8.1.2 Exponential Stabilization -- 8.2 Stabilization of Semilinear Systems -- 8.2.1 Strong Stabilization -- 8.2.2 Exponential Stabilization -- 8.3 Regional Stabilization of Second Order Semilinear Systems -- 8.3.1 Regional Stabilization of Bilinear Systems -- 8.3.2 Regional Stabilization of Semilinear Systems -- 8.4 Simulations Results -- References -- 9 Gradient Stabilization of Infinite Dimensional Linear Systems -- 9.1 Gradient Stability-Definitions-Examples -- 9.2 Characterizations of Gradient Stability -- 9.3 Gradient Stabilization for Infinite Dimensional System -- 9.3.1 State Space Decomposition -- 9.3.2 Riccati Method -- 9.4 Gradient Stabilization Control Problem -- 9.5 Numerical Algorithm and Simulations -- References -- 10 Regional Gradient Stabilization of Infinite Dimensional Linear Systems -- 10.1 Regional Gradient Stability -- 10.1.1 Definitions -- 10.1.2 Characterizations -- 10.2 Gradient Stabilization -- 10.2.1 Stabilizing Control -- 10.2.2 State Space Decomposition -- 10.2.3 Lower Cost Gradient Stabilization Problem -- 10.2.4 Numerical Approach and Simulations -- References. , 11 Gradient Stabilization of Infinite Dimensional Bilinear Systems -- 11.1 Gradient Stabilization of Bilinear Systems -- 11.1.1 Gradient Exponential Stabilization -- 11.1.2 Gradient Strong Stabilization -- 11.1.3 Gradient Weak Stabilization -- 11.2 Regional Gradient Stabilization of Bilinear Systems -- 11.2.1 Regional Stabilizing Control -- 11.2.2 State Space Decomposition -- 11.2.3 Problem of Regional Gradient Stabilization -- 11.3 Numerical Approach and Simulations -- 11.3.1 Regional Gradient Stabilization Case -- 11.3.2 Gradient Stabilization Case -- References -- 12 Regional Gradient Stabilization of Infinite Dimensional Semilinear Systems -- 12.1 Controls for Regional Gradient Stabilization -- 12.1.1 Regional Gradient Strong Stabilization -- 12.1.2 Regional Gradient Weak Stabilization -- 12.2 Regional Gradient Stabilization Problem -- 12.3 Simulation Results -- References -- 13 Conclusion and Perspectives -- Appendix References -- -- Index.

Note: Title -- Preface -- Contents -- Part I: Hybrid Intelligent Systems for Control and Robotics -- Optimization of a Fuzzy Tracking Controller for an Autonomous Mobile Robot under Perturbed Torques by Means of a Chemical Optimization Paradigm -- Introduction -- The Chemical Optimization Paradigm -- The Mobile Robot -- Fuzzy Logic Controller -- Experimental Results -- Conclusions -- References -- Evolutionary Optimization of the Fuzzy Integrator in a Navigation System for a Mobile Robot -- Introduction -- Mobile Robot -- Navigation Control System -- Genetic Algorithms -- Chromosome Encoding -- WFIS Controller -- WFIS Controller Objective Function -- Simulation Resul lts -- WFIS Controller -- Conclusions -- References -- Particle Swarm Optimization for Average Approximation of Interval Type-2 Fuzzy Inference Systems Design in FPGAs for Real Applications -- Introduction -- Type-2 Fuzzy Inference Systems and Optimization Methods -- Description of the Problem -- AT2-FIS Design in VHDL Code -- Fuzzification -- Inference -- Defuzzification -- Optimization of the Average Approximation of an Interval Type-2 Fuzzy Inference System -- Results -- Conclusions -- References -- Genetic Optimization of Membership Functions in Modular Fuzzy Controllers for Complex Problems -- Introduction -- Background and Basic Concepts -- Genetic Algorithm -- Fuzzy System -- Case Study -- Problem Description -- Type-1 Fuzzy System -- Genetic Algorithm -- Conclusions -- References -- Designing Systematic Stable Fuzzy Logic Controllers by Fuzzy Lyapunov Synthesis -- Introduction -- Type-1 Fuzzy Sets and Systems -- Overview of the Problem -- Description of Then of the Water Tank -- Description of the Inverted Pendulum -- Results for Case 1 -- Mamdani Fuzzy Controller -- Sugeno Fuzzy C Controller -- Results for Case 2 -- Mamdani y Fuzzy Controller -- Sugeno Fuzzy C Controller. , Results of the Statistical Test -- Statistical Test Results for Case 1 Mamdani -- Statistical Test Results Case 1 Sugeno -- Statistical Test Results for Case 2 Mamdani -- Statistical Test Results Case 2 Sugeno -- Conclusions -- References -- Design of Fuzzy Control Systems with Different PSO Variants -- Introduction -- Metaheuristic Optimization by Swarms of Particles -- Variants of PSO -- Clamping Speed -- Inertia Factor -- Constriction Coefficient -- Statement of the Problem -- Conclusions -- References -- Methodology to Design Fuzzy Logic Controller for Soft-Core Embedded into FPGA -- Introduction -- Fuzzy Controller Design for an FPGA -- Results -- Conclusions -- References -- Optimization of Membership Functions for Type-1 and Type 2 Fuzzy Controllers of an Autonomous Mobile Robot Using PSO -- Introduction -- Optimization Algorithm Using Particle Swarm Optimization (PSO) -- Design of the Fuzzy Controller -- Results of the Simulation -- Conclusions -- References -- Part II: Hybrid Intelligent Systems for Pattern Recognition and Time Series Prediction -- Multi-Objective Hierarchical Genetic Algorithm for Modular Neural Network Optimization Using a Granular Approach -- Introduction -- Basic Concepts -- Modular Neural Networks -- Multi-Objective Hierarchical Genetic Algorithm -- Granular Computing -- General Architecture of the Proposed Method -- General Architecture of the Proposed Method for the Modular Neural Network -- Description of the Multi-Objective Hierarchical Genetic Algorithm for MNN Optimization -- Objective Functions -- Databases -- Experimental Results -- Non Optimized -- Optimized Results -- Conclusions -- References -- An Analysis on the Intrinsic Implementation of the Principle of Justifiable Granularity in Clustering Algorithms -- Introduction -- Clustering Algorithms -- Subtractive Algorithm -- Granular Gravitational Algorithm. , Principle of Justifiable Granularity -- Basic Theory -- The Specificity C Criterion -- Algorithm Analysis -- Simplefit Datase et -- Iris Dataset -- Discussion -- Conclusion -- Conclusions -- Future Work -- References -- Mental Tasks Temporal Classification Using an Architecture Based on ANFIS and Recurrent Neural Networks -- Introduction -- Neural Network Classifiers -- Simple Recurrent Network -- Fully-Connected Recurrent Neural Network -- Proposed Methodology -- Experimental Results -- Conclusions -- References -- Interval Type-2 Fuzzy System for Image Edge Detection Quality Evaluation Applied to Synthetic and Real Images -- Introduction -- Measure Index -- Reference Image (Ground Truth) -- Experiments -- Results -- Conclusions -- References -- Genetic Optimization of Type-2 Fuzzy Weight Adjustment for Backpropagation in Ensemble Neural Network -- Introduction -- Background and Basic Concepts -- Neural Network -- Overview of Related Works -- Proposed Method and Problem Description -- Optimization of Ensemble Neural Network Architecture with Type-2 Fuzzy Weights -- Simulation Results -- Conclusions -- References -- A New Method for Type-2 Fuzzy Integration in Ensemble Neural Networks Based on Genetic Algorithms -- Introduction -- Problem Statement and Proposed Method -- Simulation Results -- Conclusions -- References -- A Hand Geometry Biometric Identification System Utilizing Modular Neural Networks with Fuzzy Integration -- Introduction -- Computational Intelligence Tools -- Fuzzy Logic -- Fuzzy Systems -- Artificial Neural Networks -- Modular Neural Networks (MNN) -- Methodology -- Utilized Database -- The General System's Architecture -- Modular Neural Network 1's Architecture -- Preprocessing for MNN 1 -- Modular Neural Network 2's Architecture -- Fuzzy Integrator r -- Results -- Results for the MNN 1 -- Results for the MNN 2. , Complete System Results (2) -- Conclusions and Future Work -- References -- Development of an Automatic Method for Classification of Signatures in a Recognition System Based on Modular Neural Networks -- Introduction -- Modular Neural Networks -- Feature Extractors -- Edge Detector -- Wavelet Transform -- Hough Transform -- Proposed Method -- Pre-processing -- Method of Classification -- Feature Extractor -- Experimental Results -- Conclusions -- References -- Architecture of Modular Neural Network in Pattern Recognition -- Introduction -- Pattern Recognition -- Artificial Neural Networks -- Methodologies -- Problem Description -- Modular Neural l Network (MNN) -- Experimental Result of the MNN -- Comparison with Previous Work -- Conclusions -- References -- Part III: Bio-Inspired and Genetic Optimization Methods -- Comparative Study of Particle Swarm Optimization Variants in Complex Mathematics Functions -- Introduction -- Standard PSO Algorithm -- Variants of PSO -- Simulation Results for Mathematical Functions -- Conclusions -- References -- A Method to Solve the Traveling Salesman Problem Using Ant Colony Optimization Variants with Ant Set Partitioning -- Introduction -- Proposed Method -- Experiments -- Results -- Conclusions -- References -- Particle Swarm Optimization with Dynamic Parameter Adaptation Using Fuzzy Logic for Benchmark Mathematical Functions -- Introduction -- Methodology -- Experimentation with the Fuzzy Systems and the Benchmark Mathematical Functions -- Statistical Comparison -- Conclusions -- References -- Dynamic Fuzzy Logic Parameter Tuning for ACO and Its Application in TSP Problems -- Introduction -- Ant Colony Optimization (ACO) -- Performance Analysis of ACO -- Fuzzy Logic Convergence Controller -- Simulation -- Conclusions -- References -- Using Immunogenetic Algorithms for Solving Combinatorial Optimization Problems. , Introduction -- Human and Artificial Immune Systems -- Artificial Vaccine Definition and Implementation -- Artificial Vaccine -- Vaccination Process -- Vaccination by Random Selector (VRS) -- Vaccination by Elitist Selector (VES) -- Expansion of Vaccinated Route -- Experiments -- Experimental Results and Analysis -- Conclusions -- References -- Comparison of Metaheuristic Algorithms with a Methodology of Design for the Evaluation of Hard Constraints over the Course Timetabling Problem -- Introduction -- Comparative Approach -- Problem Definition -- Methodology of Design for the Course Timetabling Problem -- Metaheuristics -- Test Instances -- Experiment Design -- Results -- Discussion -- Conclusions and Future Work -- References -- Path Planning Using Clonal Selection Algorithm -- Introduction -- Methods -- Optimization -- Artificial Immune System -- Clonal Selection Algorithm -- Experiments -- Experiment 1 -- Experiment 2 -- Experiment 3 -- Conclusions -- References -- Bio-inspired Optimization Methods on Graphic Processing Unit for Minimization of Complex Mathematical Functions -- Introduction -- Bio-inspired Optimization Methods -- Genetic Algorithms -- Particle Swarm Optimization -- Simulated Annealing -- Pattern Search -- A Brief History of GPUs -- CUDA -- Experimental Results -- Conclusions -- References -- Variants of Ant Colony Optimization: A Metaheuristic for Solving the Traveling Salesman Problem -- Introduction -- ACO Variants -- Traveling Salesman Problem (TSP) -- Max-Min Ant System -- Ant Colony System (ACS) -- Graphical Interface in Matlab -- Results -- Conclusions -- References -- Part IV: Intelligent Optimization Methods and Applications -- Memetic Algorithm for Solving the Problem of Social Portfolio Using Outranking Model -- Introduction -- Background -- Portfolio Problem -- Social Projects -- Multi-objective Optimization. , Problem Formulation.