Smart Cities : 6th Ibero-American Congress, ICSC-Cities 2023, Mexico City and Cuernavaca, Mexico, November 13-17, 2023, Revised Selected Papers

• Autore: Nesmachnow Sergio
• Pubblicazione: Cham : , : Springer International Publishing AG, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (301 pages)
• Altri autori: Hernández CallejoLuis
• Nota di contenuto: Intro -- Preface -- Organization -- Contents -- Urban Informatics for Smart Cities -- Methodology to Obtain Traffic Data and Road Incidents Through Maps Applications -- 1 Introduction -- 2 Related Works -- 3 Methodology for Obtaining Traffic Data and Road Incidents -- 4 Implementation of the Methodology for Obtaining Traffic Data and Road Incidents Through Map Applications -- 4.1 Phase of Selection of Map Application -- 4.2 Phase to Obtain the Interface Key (APIKEY O KEY) -- 4.3 Phase of Endpoint Identification -- 4.4 Phase of Execution of the Endpoint in a Request Platform -- 4.5 Save the Request Result to a File or to a Database -- 5 Findings of the Research -- 6 Conclusions and Future Work -- References -- Detection of Suboptimal Conditions in Photovoltaic Systems Integrating Data from Several Domains -- 1 Introduction -- 2 Framework -- 2.1 Detection of Hot Spot by IRT -- 2.2 Detection of Suboptimal Conditions by RGB Analysis -- 2.3 Detection of Suboptimal Conditions by Electrical Analysis -- 3 Materials and Methods -- 3.1 Site Description -- 3.2 Architecture Description -- 3.3 Criteria Used for Detection of Suboptimal Conditions -- 3.4 System Validation -- 4 Results and Discussion -- 4.1 General System Performance -- 4.2 Methods Performance -- 4.3 System Limitations -- 5 Conclusions -- References -- Characterization of Household Electricity Consumption in Uruguay -- 1 Introduction -- 2 Household Electricity Consumption Characterization -- 2.1 Problem Description -- 2.2 Related Work -- 3 Data Analysis for the Characterization of Household Electricity Consumption in Uruguay -- 3.1 Description of the Proposed Approach and Data Sources -- 3.2 Methodology -- 4 Results and Analysis -- 4.1 Appliances Ownership and Utilization -- 4.2 Ownership and Geographic Characterization -- 4.3 Correlations with ECH Data. ; 5 Practical Application: Classifying Use of Water Heaters -- 5.1 Motivation -- 5.2 Training and Validation Data -- 5.3 The Proposed Classifier -- 5.4 Results -- 6 Conclusions and Future Work -- References -- Visual Analytic of Traffic Simulation Data: A Review -- 1 Introduction -- 2 Theoretical Framework -- 2.1 Traffic Data -- 2.2 Traffic Simulations Tools -- 2.3 MATSim Dimensions -- 2.4 Data Visualization -- 2.5 Traffic Data Features -- 3 Related Work -- 3.1 Methodology -- 3.2 Real Scenario Data Visualizations -- 3.3 Simulation Data Visualizations -- 4 Discussion -- 5 Conclusions -- References -- Optimization, Smart Industry, and Smart Public Services -- Harnessing Computer Science to Drive Sustainable Supply Chains Facing Resilience Organizational Complexity -- 1 Introduction -- 2 Navigating Supply Chain Complexity, Challenges and Strategies -- 3 Modeling -- 3.1 Algorithm Approach and Real-World Challenges -- 3.2 Monte Carlo Simulation of Port System -- 4 Conclusions and Future Work -- References -- Optimizing the Rework Area in an Automotive Parts Supplier Company by Digital Tools: A Foundation for Smart Industry Transformation -- 1 Introduction -- 2 Problem Statement -- 2.1 ReWA Problem -- 2.2 Related Works -- 3 Lean Manufacturing for ReWA -- 3.1 ReWA -- 3.2 Current Situation -- 4 Results and Discussion -- 4.1 Development and Execution Software System -- 4.2 Studied Case -- 4.3 Flow Phase Analysis -- 4.4 Strategic Positioning of Capture Stations -- 4.5 Improvement Plan Implemented -- 4.6 Software System Implementation -- 4.7 Standardization -- 5 Conclusions and Future Work -- References -- An Allocation-Routing Problem in Waste Management Planning: Exact and Heuristic Resolution Approaches -- 1 Introduction -- 2 Bins Allocation and Collection Routing Problem in Waste Management -- 2.1 Conceptual Problem -- 2.2 Related Work. ; 2.3 Mathematical Formulation -- 3 Resolution Approaches -- 3.1 Exact Method -- 3.2 Genetic Algorithm -- 4 Computational Experimentation -- 4.1 Description of Instances -- 4.2 GA Parametrization -- 4.3 Numerical Results -- 5 Conclusions -- References -- Simulated Annealing Metaheuristic Approach for Municipal Solid Waste Collecting Route Problem in the Historical Center of a Mexican City -- 1 Introduction -- 2 The MSW Collection Route Problem -- 2.1 Problem Description -- 2.2 Mathematical Formulation -- 2.3 Related Work -- 3 The Proposed SA for the MSW-CVA -- 3.1 Simulated Annealing Method -- 3.2 SA for the MSW-CVA -- 4 Experimental Results and Discussion -- 4.1 Development and Execution Platform -- 4.2 Studied Area and Problem Instance -- 4.3 Parameters Configuration -- 4.4 Experimental Results -- 5 Conclusion and Future Work -- References -- Smart Industry Strategies for Shop-Floor Production Planning Problems to Support Mass Customization -- 1 Introduction -- 2 Mass Customization and the Multiobjective Flowshop Problem with Missing Operations -- 2.1 Mass Customization Impact on the Shop-Floor Operations -- 2.2 Mathematical Formulation -- 2.3 Related Work -- 3 Resolution Approach -- 3.1 Overall Description and Algorithms -- 3.2 Description of the Proposed Metaheuristics -- 4 Computational Experimentation -- 4.1 Description of the Problem Instances -- 4.2 Methodology for the Computational Experimentation -- 4.3 Numerical Results -- 5 Conclusions and Future Work -- References -- Internet of Things -- Aquality: A Scalable IoT-Enabled Drinking Water Quality Monitoring System -- 1 Introduction -- 2 Rationale -- 3 Background -- 3.1 Drinking Water Treatment Plant -- 4 Related Works -- 5 Design Process -- 6 Results -- 7 Conclusions -- References -- Computational Intelligence and Urban Informatics for Smart Cities. ; Enhancing Solar Cell Classification Using Mamdani Fuzzy Logic Over Electroluminescence Images: A Comparative Analysis with Machine Learning Methods -- 1 Introduction -- 2 Introduction to Fuzzy Logic -- 3 Methodology -- 3.1 Data Gathering -- 3.2 Image Preprocessing -- 3.3 Maximum Power Normalization -- 3.4 Feature Extraction -- 3.5 Model -- 4 Results -- 5 Conclusions and Future Work -- References -- Estimation of the Performance of Photovoltaic Cells by Means of an Adaptative Neural Fuzzy Inference Model -- 1 Introduction -- 2 ANFIS -- 3 Methodology -- 3.1 Data Gathering -- 3.2 Image Preprocessing -- 3.3 Maximum Power Normalization -- 3.4 Feature Extraction -- 3.5 Model and Architecture -- 3.6 Training -- 3.7 Rules -- 4 Results -- 4.1 Metrics in the Different Sets -- 4.2 Comparison with Other Methods -- 5 Conclusions and Future Work -- References -- Framework for Upscaling Missing Data in Electricity Consumption Datasets Using Generative Adversarial Networks -- 1 Introduction -- 2 Related Works -- 2.1 CIC-IPN Electricity Consumption -- 3 Electricity Consumption Data Upscaling Framework -- 3.1 Data Pre-processing -- 3.2 Identifying General Patterns in the Dataset -- 3.3 Designing the GAN Architecture -- 3.4 Training the GAN Models and Imputing the Dataset with Missing Values -- 4 Conclusions and Future Work -- References -- Detection of Personal Protection Elements in a Recycling Plant Using Convolutional Neural Networks -- 1 Introduction -- 2 Methodology -- 3 Understanding the Data Model -- 3.1 Image Dataset Collection and Preparation -- 3.2 Data Labeling -- 4 Prototype Modeling -- 5 Experiments and Results -- 5.1 Tests in Portal Mode -- 5.2 Testing on the Conveyor Belt -- 6 Conclusions -- References -- A New Sentiment Analysis Methodology for Football Game Matches Utilizing Social Networks and Artificial Intelligence Techniques -- 1 Introduction. ; 1.1 Problem Statement -- 1.2 Scope and Limitations -- 1.3 Structure of the Document -- 2 Related Work -- 3 Artificial Intelligence Methodology -- 3.1 AI for Sentiment Analysis -- 4 Experimental Results and Discussion -- 4.1 Development and Execution Platform -- 4.2 Data Sources and Cleaning Process -- 4.3 Experimental Results -- 5 Conclusions and Future Work -- References -- Intelligent Urban Cycling Assistance Based on Simplified Machine Learning -- 1 Introduction -- 1.1 Urban Mobility -- 1.2 Road Safety for Cyclists -- 1.3 Intelligent Urban Cycling -- 2 Simplified Machine Learning -- 2.1 The Challenge of Machine Learning -- 2.2 Related Work -- 2.3 Overview of the Approach and Contributions -- 3 Materials and Methods -- 3.1 Methodolgy -- 3.2 Cognitive Model Architecture -- 3.3 Affinity Layer Overview -- 3.4 Combined Affinity Layer Overview -- 4 Experiments with the Proposed Model -- 4.1 Dataset Overview -- 4.2 Experimental Setup -- 5 Discussion -- 5.1 Proposed Model Performance and Generalization -- 6 Conclusion -- References -- Linear Predictive Coding vs. Kalman Filter for Urban Finance Prediction in Smart Cities with S& -- P/BMV IPC -- 1 Introduction -- 2 Problem Definition and Literature Review -- 2.1 Problem -- 2.2 Related Work -- 3 Prediction Methods -- 3.1 Linear Prediction Coding (LPC) -- 3.2 KF Method -- 4 Metodology and Results -- 4.1 Database -- 4.2 Tests with LPC Method -- 4.3 Test with KF Method -- 5 Conclusions and Future Works -- References -- Innovative Informatic Approaches for Smart Cities -- 3D Printing as an Enabler of Innovation in Universities. Tellus UPM Ecosystem Case -- 1 Introduction -- 1.1 Relevance of Innovation at the University Level and the Role of Technology -- 1.2 The FabLab Concept -- 1.3 The Tellus UPM Ecosystem: Confluence of Technology, Education and Sustainability. ; 1.4 Hypothesis: 3D Printing as a Pillar of Innovation in the Tellus UPM Ecosystem.
• Titolo autorizzato: Smart Cities
• ISBN: 3-031-52517-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910831012803321
• Lo trovi qui: Univ. Federico II
• Serie: Communications in Computer and Information Science Series