Smart Technologies, Systems and Applications: First International Conference, SmartTech-IC 2019, Quito, Ecuador, December 2-4, 2019, Proceedings (Communications ... Computer and Information Science Book 1154)

This book constitutes refereed proceedings of the First International Conference on Smart Technologies, Systems and Applications, held in Quito, Ecuador, in December 2019. The 27 full papers and 3 short papers presented were carefully reviewed and selected from 90 submissions. The papers of this volume are organized in topical sections on smart technologies; smart systems; smart trends and applications. Preface Organization Contents Smart Technologies Spectral Power Map Generation Based on Spectrum Scanning in the ISM Band for Interference Effects 1 Introduction 2 Methods and Processes 2.1 Antenna Design and Characterization 2.2 Universal Software Radio Peripheral (Usrp) 2.3 Signal Processing Using Software Defined Radio 3 Experiment and Results 3.1 Experimental Setup 3.2 Spectral Power Map 4 Conclusions References Implementation of a Real-Time Monitoring and Analysis System for Luminous Flux Test in Integrating Sphere 1 Introduction 2 Implementation of Automatic Central System 2.1 Automatic Central System Hardware 3 Experimental Results 4 Conclusion References Soil and Environmental Monitoring on a Vineyard in the Guadalupe Valley as a Tool for Processes of Precision Viticulture Based on ZigBee Technology to Improve the E-Agriculture 1 Introduction 2 Theoretical and General Background 2.1 E-Agriculture Framework 2.2 Design and General Implementation of the Prototype 3 Measurements and Analysis 4 Conclusions References The Network Virtualization to Support the Scalability of the Internet of Things 1 Introduction 1.1 The Internet of Things 1.2 The Software Defined Networking 2 Related Works 3 SDN Scalability Solution 4 Implementations 5 Conclusion and Future Works References Broadcast and Analysis of Traffic Warning Messages in a VANET Network 1 Introduction 2 Related Work 3 Message Diffusion Systems on a VANET 3.1 VANET Network Architecture via Node.js and Raspberry Pi Development Platforms 3.2 Prototype Node Implementation 3.3 NS3 VANETS Networks Simulations 4 Results 5 Conclusions References Signal Detection Methods in Cognitive Radio Networks: A Performance Comparison 1 Introduction 2 Spectrum Detection Techniques Evaluated 2.1 Eigen-values Signal Detector 2.2 Singular Value Decomposition Detector 2.3 Cyclo-stationary Detector 3 Implementation and Simulation 4 Results 5 Conclusions References Scalable Electrical Distribution Networks Planning for Medium and Low Voltage Considering Capacity on Transformers and Voltage Drop 1 Introduction 2 Problem Formulation 3 Results 4 Analysis of Results 5 Conclusions and Future Works References Performance Analysis of a Direct-Expansion Solar-Assisted Heat Pump Using a Photovoltaic/Thermal System for Water Heating 1 Introduction 2 System Description 3 Materials and Methods 3.1 Collector/Evaporator 3.2 Compressor 3.3 Condenser 3.4 Expansion Valve 3.5 System Performance 4 Results 5 Conclusions References Smart Systems Enabling the Latent Semantic Analysis of Large-Scale Information Retrieval Datasets by Means of Out-of-Core Heterogeneous Systems 1 Introduction 2 Related Works 3 The Out-of-Core Heterogeneous Latent Semantic Analysis (hLSA) System 4 Experiments and Results 4.1 Results Regarding the Execution Time 4.2 Results Regarding the Precision of the System 5 Conclusions References Increasing K-Means Clustering Algorithm Effectivity for Using in Source Code Plagiarism Detection 1 Introduction 1.1 Motivation 2 Plagiarism in the Source Code 2.1 Shortcomings of Current Methods 2.2 Proposal of a New Method 3 Suggested Optimization Methods for an Implementation of K-Means Algorithm 3.1 The Efficiency of Computational Complexity of the K-Means Algorithm 3.2 Parallelization of the Algorithm 3.3 Heuristics for Vector Clustering 3.4 Implementation Efficiency 3.5 Data Size Reduction 3.6 Experimental Evaluation 4 Conclusion References Using Machine Learning Techniques for Discovering Latent Topics in Twitter Colombian News 1 Introduction 2 Method and Materials 3 Results and Discussion 4 Conclusions and Future Work References Latent Semantic Index: A Microservices Architecture 1 Introduction 2 Related Works 3 Latent Semantic Indexing 3.1 Latent Semantic Indexing 3.2 SVD 4 Microservices LSI Architecture Design 5 Evaluation 6 Results and Discussion 6.1 Concurrency 6.2 Load Tests 7 Conclusions and Future Work References Factors that Affect i-Vectors Based Language Identification Systems 1 Introduction 1.1 Language Identification with i-Vectors 1.2 Parameters to Analyze in an i-Vector-Based Language Identification System 2 Baseline System 2.1 Database 2.2 System Overview 3 Experimental Approach and Results 3.1 UBM 3.2 Matrix T 3.3 Multi-class Logistic Regression Classifier 4 Conclusions References Incorporation of Language Discriminative Information into Recurrent Neural Networks Models to LID Tasks 1 Introduction 2 System Description 2.1 The Concept of Phone-Gram Units 2.2 Database 2.3 Phoneme Recognizers in RNNLMs 2.4 RNNLM-P Applied to Language Identification 2.5 Discriminative Language Information Applied to LID 2.6 Incorporation of Discriminative Information in RNNs 2.7 Acoustic System Using MFCCs 2.8 Configuration of the RNN 3 Results 4 Conclusions References A Content-Based Multi Label Classification Model to Suggest Tags for Posts in Stack Overflow 1 Introduction 2 Related Work 3 Materials and Methods 3.1 Dataset Building 3.2 Pre-processing of Data 3.3 Feature Extraction 3.4 Prediction Model Based on Multilabel Classification 4 Experimental Evaluation 5 Results 6 Conclusions and Future Work References Benchmarking of Classification Algorithms for Psychological Diagnosis 1 Introduction 2 Methodology 2.1 Data Collection 2.2 Algorithms Selection 2.3 Algorithms Setting 2.4 Evaluation Metrics 3 Experiments and Results 3.1 Training Phase 3.2 Testing Phase 4 Conclusions References Proposal for an Integral System for Massive Open Online Courses (ISMOOC) 1 Introduction 2 MOOC Systems 3 Pedagogical and Technological Basis for the Design of a MOOC System 4 Design of a Massive Open Online Courses Integral System (ISMOOC) 4.1 Levels of ISMOOC 4.2 The Dimensions of the MOOC System Are as Follows 4.3 Principles of the MOOC System 5 Findings and Analysis 6 Conclusions References Security Mechanisms in NoSQL DBMS's: A Technical Review 1 Introduction 2 NoSQL Databases 3 Information Security Features 4 Information Security Mechanisms Provided by NoSQL Databases 4.1 Authentication 4.2 Authorization 4.3 Encryption in Transit 4.4 Encryption at Rest 5 Conclusions References Corrective Feedback Through Mobile Apps for English Learning: A Review 1 Introduction 2 Overview of Corrective Feedback with Mobile Apps 2.1 Corrective Feedback 2.2 Mobile Apps for English Learning 3 Methods 3.1 Searching Literature 3.2 Study Selection-Inclusion/Exclusion Criteria 4 Results 4.1 Mobile Apps 4.2 Corrective Feedback with Online Platforms 5 Discussion 6 Conclusions References Classification and Visualization of Web Attacks Using HTTP Headers and Machine Learning Techniques 1 Introduction 2 Web Attacks 2.1 Cross-Site Scripting 2.2 Carriage Return Line Feed (CRLF) 2.3 SQL Injection 3 Dimensionality Reduction for Data Visualization 3.1 Principal Component Analysis 3.2 t-SNE 4 Machine Learning Classifiers 4.1 Naive Bayes Classifier 4.2 Support Vector Machine Classifier 4.3 Random Forest Classifier 4.4 Logistic Regression Classifier 5 Methodology 5.1 Data Set 5.2 Feature Engineering Extraction 6 Results 6.1 Data Visualization 6.2 Machine Learning Classifiers 7 Conclusions References Smart Trends and Applications Fusion of 3D Radiomic Features from Multiparametric Magnetic Resonance Images for Breast Cancer Risk Classification 1 Introduction 2 Related Works 3 Materials and Methods 3.1 Database 3.2 Feature Extraction 3.3 Feature Selection 3.4 Classification 4 Results and Discussion 5 Conclusions and Future Work References Evaluation of Learning Approaches Based on Convolutional Neural Networks for Mammogram Classification 1 Introduction 2 Materials and Methods 2.1 Dataset Construction 2.2 CNN Configurations 2.3 Performance Evaluation 3 Results 3.1 Dataset 3.2 CNN-Based Model Performance Comparison 3.3 Model with the Best Performance 4 Discussion References Technological Platform for the Control of the Medication Supply to People with Diabetes 1 Introduction 2 Materials and Methods 2.1 Construction of the Electronic Device 2.2 Implementation of the Web Platform 2.3 Communication Description 3 Results 4 Conclusions References Emotion Recognition from Time-Frequency Analysis in EEG Signals Using a Deep Learning Strategy 1 Introduction 2 Related Works 3 Methodology 3.1 Preprocessing Stage and Volumetric Framing 3.2 Feature Extraction Using PSD and Spectrogram 3.3 Recognizing Intensity and Intention of Emotions in EEG Signals 3.4 The DEAP Database and Experimental Framework 4 Results and Discussion 5 Conclusions References Automatic Exercise Recognition Based on Kinect Sensor for Telerehabilitation 1 Introduction 2 Related Works 3 Methods 3.1 Skeleton Features Extraction 3.2 Human Posture Classification 3.3 Trajectory Recognition 4 Experimental Results 4.1 Posture Classification Assessment 4.2 Trajectory Recognition Assessment 4.3 Exercise Recognition Evaluation 5 Conclusions References Hand Angle Estimation Based on sEMG and Inertial Sensor Fusion 1 Introduction 2 Methodology 3 Materials 3.1 sEMG DataBase Ninaweb 7 3.2 Data Processing and Featuring Extraction 3.3 Regression Algorithms 3.4 Performance Evaluation 4 Results and Discussion 5 Conclusion References Estimation of Spatio-temporal Parameters of Gait Using an Inertial Sensor Network 1 Introduction 2 Related Works 3 Methodology 3.1 Biomechanical Model Configuration 3.2 IMUs-to-Body Calibration Algorithm 3.3 Gait Events Detection 3.4 Spatial Parameters Estimation 3.5 Temporal Parameters Estimation 4 Experimental Results 4.1 Evaluating the Joint Angles Estimation 4.2 Evaluating the Gait Spatio-Temporal Parameters Estimation 5 Conclusions and Future Work References A Genetic Algorithm for BAP + QCAP with Imprecision in the Arrival of Vessels 1 Introduction 2 Introductory Items of Fuzzy Set Theory 3 Problem Description and Notation 4 FFLP Model for the BAP + QCAP 5 Genetic Algorithm 6 Evaluation 6.1 Case Study 6.2 Instance Set and Results 7 Conclusions and Future Work References Data Analysis of Particle Physics Experiments Based on Machine Learning and the Mitchell's Criteria 1 Introduction 1.1 Motivation 1.2 Identification of Problem 1.3 What's Done in This Paper? 2 The FlowCuts-Mitchell Algorithm 2.1 Basic Definitions 2.2 The Implementation of the Mitchell's Criteria 3 Simulations and Results 3.1 Measuring Slepton Decays with the Mitchell's Criteria 3.2 The Machine Learning Error 4 Conclusion References Quantum Mechanics Formalism for Modeling the Flux of BitCoins 1 Introduction 2 The Quantum Mechanics of Bra and Ket Formalism 3 Full Modeling of an End-to-End Bitcoin Transaction 3.1 Separability of the States 3.2 Canceling a Transaction 3.3 Interpretation of Eq.21 4 The Full Transaction: Sellers and Buyers 5 Computational Simulation and Results 6 Curves of Probability Amplitude and Stability of Flux 6.1 Collapse of Flux 7 Conclusion References Author Index