Kooperativer Bibliotheksverbund

UID:

Format: 1 Online-Ressource (XXII, 489 p. 251 illus., 220 illus. in color)

Edition: 1st ed. 2021

ISBN: 9783030680800

Series Statement: Advances in Intelligent Systems and Computing 1326

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-68079-4

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-68081-7

Language: English

DOI: 10.1007/978-3-030-68080-0

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: XXII, 489 p. 251 illus., 220 illus. in color. , online resource.

Edition: 1st ed. 2021.

ISBN: 9783030680800

Series Statement: Advances in Intelligent Systems and Computing, 1326

Content: This book constitutes the proceedings of the XV Multidisciplinary International Congress on Science and Technology (CIT 2020), held in Quito, Ecuador, on 26-30 October 2020, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON. CIT is an international event with a multidisciplinary approach that promotes the dissemination of advances in Science and Technology research through the presentation of keynote conferences. In CIT, theoretical, technical, or application works that are research products are presented to discuss and debate ideas, experiences, and challenges. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Artificial Intelligence Computational Modeling Data Communications Defense Engineering Innovation, Technology, and Society Managing Technology & Sustained Innovation, and Business Development Modern Vehicle Technology Security and Cryptography Software Engineering.

Note: Prediction of Parkinson's Disease severity based on Gait Signals using a Neural Network and the Fast Fourier Transform -- An Analysis of Deep Learning Architectures for Cancer Diagnosis -- Identifying Similar Groups of Countries According to the Impact of Corona Virus (COVID-19) by a Two-layer Clustering Method -- ToraxIA: Virtual assistant for radiologists based on deep learning from Chest X-ray -- Classification of Andean Chocho (Lupinus Mutabilis Sweet) by shape and color using artificial vision -- Deep Learning for Edge Computing: a Survey -- SIR Model Parameter Fitting of SARS-CoV-2 Basic Reproduction Number in Venezuela and Ecuador Epidemic -- Machine learning and color treatment for the forest fire and smoke detection systems and algorithms, a recent literature review -- Dimensionality Reduction using PCA and CUR Algorithm for data on COVID-19 Tests -- Ensuring Traceability and Orchestration in the Food Supply Chain -- Network Neutrality: The case of five South American countries -- Design techniques of FTTH-GPON networks for segmentation and data traffic relief -- Processing of voice signals in telecommunications systems using MATLAB -- Prototype of a centralized alert and emergency system for Digital Terrestrial Television in Ecuador -- Implementation of a Basic Risk Guide for Interactive Digital Terrestrial Television using learning objects -- Using H5P services to enhance the student evaluation process in Programming courses at the Universidad Politécnica Salesiana (Guayaquil, Ecuador).

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783030680794

Additional Edition: Printed edition: ISBN 9783030680817

Language: English

DOI: 10.1007/978-3-030-68080-0

URL: https://doi.org/10.1007/978-3-030-68080-0

UID:

Format: 1 online resource (503 pages) : , illustrations

ISBN: 3-030-68080-0

Series Statement: Advances in Intelligent Systems and Computing ; v.1326

Note: Intro -- Preface -- Organization -- General Chairs -- Organizing Committee -- Steering Committee -- Publication Chair -- Program Chairs -- Life Sciences -- Earth and Construction Sciences -- Energy and Mechanics -- Electrical and Electronic -- Computer Science -- Human and Social Science -- Security and Defense -- Economic and Administrative Sciences -- Social -- Local Committee -- Research Department -- Sede Latacunga -- Program Committee -- Organizing Institutions -- Contents -- Artificial intelligence, Communications, Security and Cryptography, and Software Engineering -- Prediction of Parkinson's Disease Severity Based on Gait Signals Using a Neural Network and the Fast Fourier Transform -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset Description -- 2.2 Pre-processing of Data -- 2.3 Information Extraction (Features) -- 2.4 Model Structure of the Proposed Artificial Neural Network -- 2.5 Performance of the Proposed Model -- 3 Results and Discussion -- 3.1 Evaluation of the Backpropagation Algorithm -- 3.2 Prediction of Parkinson's Stages -- 3.3 Comparison with Similar Studies -- 3.4 Study Limitation -- 4 Conclusions and Future Perspectives -- References -- An Analysis of Deep Learning Architectures for Cancer Diagnosis -- 1 Introduction -- 2 Materials and Methods -- 2.1 Materials -- 2.2 Methods -- 3 Results -- 3.1 Impact of Deep Learning in Cancer Diagnosis -- 3.2 Training the CNN Network -- 3.3 Testing the CNN Network -- 4 Discussion -- 5 Future Work and Conclusions -- References -- Identifying Similar Groups of Countries According to the Impact of Corona Virus (COVID-19) by a Two-Layer Clustering Method -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Data Clustering -- 3 Results and Discussion -- 3.1 First Clustering -- 3.2 Second Clustering -- 3.3 Final Results -- 4 Conclusions and Recommendations. , References -- ToraxIA: Virtual Assistant for Radiologists Based on Deep Learning from Chest X-Ray -- 1 Introduction -- 2 Methodology -- 2.1 Data Set -- 2.2 Annotation Process -- 2.3 Deep Learning Model -- 3 Experimental Results -- 3.1 Library Performance -- 3.2 Deep Learning Model Results -- 3.3 COVID-19 Dataset -- 3.4 Toraxia™Output -- 4 Discussion -- 5 Conclusion and Future Work -- References -- Classification of Andean Chocho (Lupinus Mutabilis Sweet) by Shape and Color Using Artificial Vision -- 1 Introduction -- 2 Materials and Methods -- 2.1 Artificial Vision System -- 2.2 Image Segmentation -- 2.3 Feature Extraction -- 2.4 System Tests -- 3 Results and Discussion -- 4 Conclusions -- References -- Deep Learning for Edge Computing: A Survey -- 1 Introduction -- 2 Materials and Methods -- 2.1 Materials -- 2.2 Methods -- 3 Results -- 3.1 Impact of Deep Learning on Edge Computing -- 3.2 Deep Learning Algorithm Summary -- 3.3 Edge Computing Summary -- 4 Discussion -- 5 Future Work and Conclusion -- References -- SIR Model Parameter Fitting of SARS-CoV-2 Basic Reproduction Number in Venezuela and Ecuador Epidemic -- 1 Introduction -- 2 Methodology -- 2.1 Database -- 2.2 SIR Model -- 2.3 Parameter Fitting -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Machine Learning and Color Treatment for the Forest Fire and Smoke Detection Systems and Algorithms, a Recent Literature Review -- 1 Introduction -- 2 The Forest Fire Detection Systems Applied and Acquisition Information Methodology -- 2.1 The Main Systems Used to Detect Fire and Smoke in the Forest -- 2.2 Procedure for Acquiring and Classifying Information -- 3 Forest Fire Detection Methods Through Machine Learning Algorithms and Color Features Extraction -- 3.1 Fire Forest Detection Using Machine Learning Methods -- 3.2 Fire Forest Detection Through Color Treatment. , 3.3 Fire Forest Detection to UAV's/UAS -- 4 Forest Smoke Detection Methods and Techniques -- 4.1 Combined Methods to Smoke Forest Detection -- 4.2 Smoke Detection Using Combined Methods Applied to UAS/UAV's -- 5 Conclusions and Future Work -- References -- Dimensionality Reduction Using PCA and CUR Algorithm for Data on COVID-19 Tests -- 1 Introduction -- 2 Materials and Methods -- 2.1 Description of Data -- 2.2 Techniques for the Analysis -- 2.3 Effectiveness -- 3 Results and Discussions -- 3.1 Principal Component Analysis on Data Matrix -- 3.2 CUR Algorithm on Data Matrix -- 3.3 Effectiveness -- 4 Conclusions -- References -- Ensuring Traceability and Orchestration in the Food Supply Chain -- 1 Introduction -- 2 Characteristics of the Food Supply Chain -- 3 Technology Review -- 4 Technological Proposal -- 5 Platform Architecture -- 6 Conclusions -- References -- Network Neutrality: The Case of Five South American Countries -- 1 Introduction -- 2 Methodology -- 3 The General Context of Network Neutrality in South America -- 4 Net Neutrality Policies in South America -- 4.1 Chile -- 4.2 Colombia -- 4.3 Brazil -- 4.4 Ecuador -- 4.5 Argentine -- 5 Results and Discussion -- 6 Conclusions -- References -- Design Techniques of FTTH-GPON Networks for Segmentation and Data Traffic Relief -- 1 Introduction -- 2 Related Work -- 2.1 Architecture, Access Mode, and Encapsulation -- 2.2 Data Frame Download Operation -- 2.3 Data Frame Upload Operation -- 3 Case Study and Method -- 3.1 Case Study -- 3.2 Methodology -- 4 Results and Discussion -- 5 Conclusions and Future Works -- References -- Processing of Voice Signals in Telecommunications Systems Using MATLAB -- 1 Introduction -- 2 General Analysis -- 2.1 Acoustic of the Voice -- 2.2 Characteristics of the Organs that Make up the Voice -- 2.3 Voice Capture in Matlab -- 2.4 Analysis in the Time Domain. , 2.5 Analysis in the Frequency Domain -- 2.6 Spectrum of the Voice Signal -- 3 Lineal Prediction of the Voice -- 3.1 FIR Filter -- 3.2 Stimation Theory -- 3.3 Identification of a System -- 3.4 Lineal Prediction in MATLAB -- 4 Compression of the Voice and Vocoders in Cellular Telephony -- 5 Case Analysis and Discussion -- 6 Conclusions -- References -- Prototype of a Centralized Alert and Emergency System for Digital Terrestrial Television in Ecuador -- 1 Introduction -- 1.1 Core of the Early Warning System for Digital Terrestrial Television -- 2 Common Alert Protocol -- 3 CAP Implementation -- 3.1 Development Tools -- 3.2 CAP Module Integration to SDI -- 3.3 Advantages and Disadvantages of the CAP System -- 4 Results -- 4.1 Generation of Codes Through the Use of SDI for the Transmission of Information Through DTT -- 4.2 Generating an Alert Using the CAP Module -- 5 Discussion -- 6 Conclusions -- References -- Implementation of a Basic Risk Guide for Interactive Digital Terrestrial Television Using Learning Objects -- 1 Introduction -- 1.1 Learning Objects -- 1.2 Related Works -- 2 Materials and Methods -- 2.1 Methodology of Application Development -- 3 Results and Discussions -- 3.1 Results -- 3.2 Discussions -- 4 Conclusions -- References -- Using H5P Services to Enhance the Student Evaluation Process in Programming Courses at the Universidad Politécnica Salesiana (Guayaquil, Ecuador) -- 1 Introduction -- 1.1 Evaluation Strategies for an Active Learning Processes -- 1.2 Technology Supported Learning and Interactive Evaluations -- 2 Materials and Methods -- 2.1 Python Experimental Educational Platforms -- 3 Results and Discussion -- 4 Conclusions -- References -- Embedded System for Fall Detection in Activities of Daily Living ADLs: A Time Window Analysis -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Naïve Bayes Training (Offline). , 3.2 Acquisition and Data Processing in the Embedded System -- 3.3 Naive Bayes in the Embedded System -- 4 Test and Results -- 5 Conclusions -- References -- Parallel CPU-Based Processing for Automatic Crop Row Detection in Corn Fields -- 1 Introduction -- 2 Materials and Methods -- 2.1 Image Dataset -- 2.2 Algorithm Parallelization -- 2.3 Acceleration of the Algorithm -- 2.4 Processing Equipment -- 2.5 Statistical Tests -- 3 Results y Discussion -- 4 Conclusions -- References -- Detection of Suspected of Breast Cancer Using Thermal Images -- 1 Introduction -- 2 Methodology -- 2.1 Image Acquisition -- 2.2 Image Processing -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- IoT-Based Sensor Nodes for Structural Health Monitoring of Bridges -- 1 Introduction -- 2 Related Works -- 3 System Architecture and Methodology -- 3.1 Base Station -- 3.2 Video Monitoring System -- 3.3 Sensor Node -- 3.4 Synchronization -- 3.5 Monitoring Software -- 4 Experimental Evaluation and Results -- 4.1 Structural Health Data Acquisition -- 4.2 System Performance Evaluation -- 5 Conclusions -- References -- Software Architecture for IoT-Based Solutions -- 1 Introduction -- 2 Related Work -- 3 Description of the Proposed Software Architecture -- 3.1 Perception Layer -- 3.2 Storage Layer -- 3.3 Processing Layer -- 3.4 Presentation Layer -- 4 Analysis of Results -- 5 Conclusions -- References -- Bootstrap as a Tool for Web Development and Graphic Optimization on Mobile Devices -- 1 Introduction -- 1.1 Evolution of Online Computer Systems -- 2 Materials and Methods -- 2.1 Bootstrap for the Production of Web Systems -- 2.2 Screen Adaptation on Mobile Devices -- 2.3 Preparing Bootstrap for Web Development -- 3 Implementation of Bootstrap in the EAC EducArte Community Web System -- 4 Results and Discussions -- 5 Conclusions -- References. , Remote Variable Monitoring App for Mechanical Ventilators Used in COVID-19.

Additional Edition: ISBN 3-030-68079-7

Language: English

Keywords: Congressos ; Llibres electrònics ; Congressos ; Llibres electrònics