Applications of Computational Intelligence : First IEEE Colombian Conference, ColCACI 2018, Medellín, Colombia, May 16-18, 2018, Revised Selected Papers

This book constitutes the thoroughly refereed proceedings of the First IEEE Colombian Conference, ColCACI 2018, held in Medellin, Colombia, in May 2018. The 17 full papers presented were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on artificial neural networks; computational intelligence; computer science. Preface 6 Organization 7 Contents 10 Artificial Neural Networks 12 Spatial and Temporal Feature Extraction Using a Restricted Boltzmann Machine Model 13 1 Introduction 13 2 The Restricted Boltzmann Machine Model 14 3 The p-RBM Model 15 4 Numerical Results and Analysis 19 4.1 Unsupervised Feature Extraction from Video 19 5 Conclusion and Future Work 22 References 22 Application of Transfer Learning for Object Recognition Using Convolutional Neural Networks 24 Abstract 24 1 Introduction 24 2 Convolutional Neural Networks 25 3 Pre Trained Model 26 4 Inception-V3 27 5 Transfer Learning 28 6 Data Augmentation 28 7 Platforms 29 8 Bottlenecks 30 9 Classification 31 10 Training Results 32 11 Real Time Test 32 12 Conclusions 34 References 35 SOM-Like Neural Network and Differential Evolution for Multi-level Image Segmentation and Classification in Slit-Lamp Images 36 1 Introduction 36 2 Related Work 37 3 Self-organizing Maps, Differential Evolution and Multilayer Perceptron 38 3.1 Histogram Based Image Fuzzification 38 3.2 Error Function Definition 38 3.3 Self-organizing Multilayer Neural Network gurney2014introduction 39 3.4 Multi-level Fuzzy Entropy 41 3.5 Differential Evolution (DE) 41 3.6 Multilayer Perceptron 42 4 Experimental Results 43 5 Conclusion 46 References 47 Implementation of a Neural Control System Based on PI Control for a Non-linear Process 48 Abstract 48 1 Introduction 48 2 Materials and Methods 49 2.1 Mathematical Model of the System 49 2.2 PI Controller Design 51 2.3 ANN Controller 54 3 Results and Discussions 55 3.1 Scenario 1: Step Input 55 3.2 Scenario 2: Complex Step Input 56 4 Conclusions 58 References 58 Filter Banks as Proposal in Electrical Motors Fault Discrimination 60 Abstract 60 1 Introduction 60 2 Methodology 62 2.1 Database 62 2.2 Preprocessing 62 2.3 Filter Banks 62 2.4 Feature Computation 63 2.5 Faults Classification 66 3 Results 66 4 Discussion 69 5 Conclusions 70 Acknowledgment 70 References 71 Discrimination of Nonlinear Loads in Electric Energy Generation Systems Using Harmonic Information 73 Abstract 73 1 Introduction 73 2 Methodology 75 2.1 Signal Acquisition and Conditioning 75 2.2 Employed Nonlinear Loads 76 2.3 Feature Extraction 77 2.4 Model Selection for Discrimination 78 3 Results 79 4 Discussion 82 5 Conclusions 83 Acknowledgment 83 References 83 A Systematic Literature Review of Hardware Neural Networks 85 1 Introduction 85 2 Background 86 2.1 Hardware Neural Networks (HNNs) 86 2.2 HNN Implementation Framework 87 3 Research Methodology 87 3.1 Research Questions (RQ) 88 3.2 Search Process 88 3.3 Study Selection 88 3.4 Quality Assessment (QA) 90 3.5 Data Collection 90 3.6 Data Analysis 91 4 Results 92 4.1 Search Results 92 4.2 Quality Evaluation of the HNN Works 92 4.3 Quality Factors 93 5 Discussion 93 6 Conclusions 94 References 95 Computational Intelligence 97 On Computing the Variance of a Fuzzy Number 98 1 Introduction and Motivation 98 2 Basics of Fuzzy Sets/Numbers 98 3 Yager Index, Carlsson-Fuller Mean and Centroid of a Fuzzy Number 99 3.1 Yager Index of a Fuzzy Number 99 3.2 Carlsson-Fullér Possibilistic Mean of a Fuzzy Number 100 3.3 Centroid of a Fuzzy Number 100 4 Variance of a Fuzzy Number 101 4.1 Carlsson-Fullér Possibilistic Variance of a Fuzzy Number 101 4.2 Mendel-Wu Variance of a Fuzzy Number 101 4.3 Yager-Based Variance of a Fuzzy Number 102 5 Application Examples 102 5.1 Triangular Fuzzy Number 102 5.2 Trapezoidal Fuzzy Number 103 5.3 Gaussian Fuzzy Number 105 6 Concluding Remarks 105 6.1 Further Topics 106 References 106 eHealth Services Based on Monte Carlo Algorithms to Anticipate and Lessen the Progress of Type-2 Diabetes 108 1 Introduction 108 2 Formulation of Model 110 2.1 Description of Samples and Data 110 2.2 Mathematical Approach 111 3 Monte Carlo Algorithms: Generation and Prediction 111 3.1 Data Generation 111 3.2 Glucose Concentration Prediction 113 3.3 Priorities in the eHealth Scheme 114 4 Simulation Results 115 5 Consistency of the Simulations 117 6 Conclusion 118 References 118 Predicting Student Drop-Out Rates Using Data Mining Techniques: A Case Study 120 1 Introduction 120 2 Related Work 122 3 Methodology 123 4 Dataset 124 5 Data Preparation and Exploration 125 6 Modeling 126 6.1 Models Setup 127 6.2 Watson Analytics 128 7 Model Evaluation and Results 128 8 Deployment 131 9 Conclusions 132 References 133 Comparison of Evolutionary Algorithms for Estimation of Parameters of the Equivalent Circuit of an AC Motor 135 Abstract 135 1 Introduction 135 2 Concepts 136 2.1 Equivalent Circuit of the AC Motor 136 2.2 Genetic Algorithm (GA) 137 2.3 PSO (Particle Swarm Optimization) 137 2.4 BFO (Bacteria Foraging Optimization) 138 3 Design of the Solution 139 3.1 Fitness Function for Parameter Estimation 139 3.2 Calculation of Number of Executions 139 4 Results 141 5 Conclusions 144 References 144 Cost-Balance Setting of MapReduce and Spark-Based Architectures for SVM 146 Abstract 146 1 Introduction 146 2 Methods 148 2.1 Support Vectors Machine 148 2.2 MapReduce 149 2.3 Spark 149 3 Proposed Procedure 149 4 Cost Model 151 5 Experiments 153 6 Conclusion 157 References 157 Computer Science 159 Nonlinear Methodologies for Climate Studies in the Peruvian Northeast Coast 160 1 Introduction 160 2 Basics of Volterra Series 162 2.1 The Truncated Volterra Series 162 2.2 Kernels of Volterra 162 2.3 Family of Input Functions 163 2.4 Truncated Volterra Series as Probability Distribution 163 2.5 Gaussian Function as Input 166 3 Results: Application of Eq.10 167 3.1 Identification of Distances and Areas of Risk 168 4 Conclusion 170 References 170 Spectral Image Fusion for Increasing the Spatio-Spectral Resolution Through Side Information 172 1 Introduction 172 2 SPC Sensing Model for Spectral Imaging 174 3 Spectral Image Reconstruction Based on Side Information 175 4 Simulations and Results 177 4.1 Traditional Reconstruction 177 4.2 Reconstructions Using Side Information 178 4.3 Reconstruction Comparison with Respect to the Variation of 1 178 5 Experimental Setup and Results 180 6 Conclusions 181 References 182 Evaluation of a Modified Current Selective Harmonic Elimination Technique Applied in Low Voltage Power Systems 184 Abstract 184 1 Introduction 184 2 Selective Harmonic Elimination PWM 185 3 Implemented Mathematical Model 187 4 Simulation Results 190 5 Conclusions 192 References 193 About the Effectiveness of Teleconsults to Evaluate the Progress of Type-2 Diabetes and Depression 194 1 Introduction 194 2 Data Analysis 196 3 Model of Probabilities 198 3.1 Model Formulation 198 4 Running a Teleconsult 199 4.1 Usage of the Success's Probability 199 4.2 Variables of the Teleconsultation 199 4.3 The Main Parameter of a Teleconsultation 200 5 Results and Discussion 201 5.1 Limitations of the Teleconsult 202 6 Interpretation of Fig.4 205 7 Conclusion 205 References 206 Optimal Dimensioning of Electrical Distribution Networks Considering Stochastic Load Demand and Voltage Levels 207 1 Introduction 207 2 Dimensioning of Electrical Distribution Networks 209 2.1 Planning of Electrical Distribution Networks 209 2.2 Minimum Spanning Tree Under Optimality Criteria 210 3 Problem Formulation 211 4 Results Analysis 213 4.1 Analysis Using Cymdist Software 218 5 Conclusions 220 References 220 Author Index 223 Front Matter ....Pages I-XII Front Matter ....Pages 1-1 Spatial and Temporal Feature Extraction Using a Restricted Boltzmann Machine Model (Jefferson Hernandez, Andres G. Abad)....Pages 3-13 Application of Transfer Learning for Object Recognition Using Convolutional Neural Networks (Jesús Alfonso López Sotelo, Nicolás Díaz Salazar, Gustavo Andres Salazar Gomez)....Pages 14-25 SOM-Like Neural Network and Differential Evolution for Multi-level Image Segmentation and Classification in Slit-Lamp Images (Hans Israel Morales-Lopez, Israel Cruz-Vega, Juan Manuel Ramirez-Cortes, Hayde Peregrina-Barreto, Jose Rangel-Magdaleno)....Pages 26-37 Implementation of a Neural Control System Based on PI Control for a Non-linear Process (Diego F. Sendoya-Losada, Diana C. Vargas-Duque, Ingrid J. Ávila-Plazas)....Pages 38-49 Filter Banks as Proposal in Electrical Motors Fault Discrimination (Jhonattan Bulla, Alvaro David Orjuela-Cañón, Oscar D. Flórez)....Pages 50-62 Discrimination of Nonlinear Loads in Electric Energy Generation Systems Using Harmonic Information (Juan de Dios Fuentes Velandia, Alvaro David Orjuela-Cañón, Héctor Iván Tangarife Escobar)....Pages 63-74 A Systematic Literature Review of Hardware Neural Networks (Dorfell Parra, Carlos Camargo)....Pages 75-86 Front Matter ....Pages 87-87 On Computing the Variance of a Fuzzy Number (Juan Carlos Figueroa-García, Miguel Alberto Melgarejo-Rey, José Jairo Soriano-Mendez)....Pages 89-98 eHealth Services Based on Monte Carlo Algorithms to Anticipate and Lessen the Progress of Type-2 Diabetes (Huber Nieto-Chaupis)....Pages 99-110 Predicting Student Drop-Out Rates Using Data Mining Techniques: A Case Study (Boris Pérez, Camilo Castellanos, Darío Correal)....Pages 111-125 Comparison of Evolutionary Algorithms for Estimation of Parameters of the Equivalent Circuit of an AC Motor (Guillermo A. Ramos, Jesus A. Lopez)....Pages 126-136 Cost-Balance Setting of MapReduce and Spark-Based Architectures for SVM (Mario Alberto Giraldo Londoño, John Freddy Duitama, Julián David Arias-Londoño)....Pages 137-149 Front Matter ....Pages 151-151 Nonlinear Methodologies for Climate Studies in the Peruvian Northeast Coast (Huber Nieto-Chaupis)....Pages 153-164 Spectral Image Fusion for Increasing the Spatio-Spectral Resolution Through Side Information (Andrés Jerez, Hans Garcia, Henry Arguello)....Pages 165-176 Evaluation of a Modified Current Selective Harmonic Elimination Technique Applied in Low Voltage Power Systems (Paola Beltran, Fabian Martínez López, Oscar Flórez Cediel)....Pages 177-186 About the Effectiveness of Teleconsults to Evaluate the Progress of Type-2 Diabetes and Depression (Huber Nieto-Chaupis)....Pages 187-199 Optimal Dimensioning of Electrical Distribution Networks Considering Stochastic Load Demand and Voltage Levels (Esteban Inga, Miguel Campaña, Roberto Hincapié, Oswaldo Moscoso-Zea)....Pages 200-215 Back Matter ....Pages 217-217