Internet of Things / / edited by Fausto Pedro García Márquez |
Pubbl/distr/stampa | London, England : , : IntechOpen, , [2021] |
Descrizione fisica | 1 online resource (114 pages) : illustrations |
Disciplina | 004.678 |
Soggetto topico | Internet of things - Management |
ISBN | 1-83968-850-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910586687303321 |
London, England : , : IntechOpen, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Internet of things : cases and studies / / Fausto Pedro García Márquez, Benjamin Lev, editors |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (312 pages) |
Disciplina | 004.678 |
Collana | International series in operations research & management science |
Soggetto topico | Internet of things |
ISBN | 3-030-70478-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910492143803321 |
Cham, Switzerland : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Introduction to internet of things in management science and operations research : implemented studies / / editors, Fausto Pedro García Márquez, Benjamin Lev |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (315 pages) |
Disciplina | 658.05 |
Collana | International Series in Operations Research & Management Science |
Soggetto topico |
Management - Data processing
Management information systems Internet of things |
ISBN | 3-030-74644-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Introduction -- Contents -- About the Editors -- Internet of Things: Technologies and Applications -- 1 Introducton -- 2 State-of-the-Art Technologies and Applicatons of IoT -- 2.1 Technologies -- 2.2 Internet of Things in Smart Cities -- 2.2.1 Smart Lighting System -- Lamp Unit (LU) -- Local Control Unit (LCU) -- Control Center (CC) -- 2.2.2 Waste and Garbage Management -- 2.3 Internet of Things in Smart Homes Domain -- 2.4 Internet of Things in Agriculture Domain -- 2.4.1 Sampling and Mapping of Soil -- 2.4.2 Irrigation -- 2.4.3 Fertilizer -- 2.4.4 Crop Disease and Pest Management -- 2.4.5 Crop Monitoring, Forecasting, and Harvesting -- 2.5 Industrial Internet of Things (IIOT) -- 2.6 Internet of Things in Energy Conservation -- 2.7 Internet of Things in Healthcare -- 2.7.1 IoT Healthcare Applications -- Monitoring of Blood Glucose Level -- Electrocardiogram Monitoring -- Blood Pressure Monitoring -- Body Temperature Monitoring -- Monitoring of Blood Oxygen Saturation -- Rehabilitation System -- Wheelchair Management -- 3 Case Studies -- 3.1 Efficient Water Supply and Management -- 3.1.1 Water Usage and Management: City of Surrey, Canada -- 3.2 IoT in Traffic Control and Management -- 3.2.1 Dallas´ Traffic Management System, Texas -- 3.2.2 Management of Railway in Germany -- 3.3 Garbage and Waste Management -- 3.3.1 A Case Study: Pennsula Santary Servce Inc. (PSSI) Implements Contaner Montorng Sensors -- 3.3.2 How One Waste Hauler Implemented Image-Based Container Sensors to Manage Inventory and Streamline Services -- The Challenge -- The Solution -- The Results -- 3.4 Smart and Efficient Parking -- 3.4.1 Smart Parking System in Burlington, Canada -- 3.4.2 Solution for Guided Parking -- Services End-to-End -- Advantages of the Result -- 4 Conclusion and Future Prospects of IoT -- References.
Prescriptive Analytics in Internet of Things with Concentration on Deep Learning -- 1 Introduction -- 2 Literature Review -- 2.1 Internet of Things (IoT) -- 2.2 IoT Architecture -- 2.2.1 Coding Layer -- 2.2.2 Perception Layer -- 2.2.3 Network Layer -- 2.2.4 Middleware Layer -- 2.2.5 Application Layer -- 2.2.6 Business Layer -- 2.3 Automated Controlling -- 2.4 Data Analytics -- 2.5 Information Sharing -- 3 Deep Learning -- 3.1 Deep Belief Network (DBN) -- 3.2 Convolutional Neural Network (CNN) -- 3.3 Artificial Neural Network (ANN) -- 3.4 Deep Neural Network (DNN) -- 4 Prescriptive Analytics -- 4.1 Descriptive Analytics -- 4.2 Predictive Analytics -- 4.3 Prescriptive Analytics -- 4.4 Detective Analytics -- 4.5 Cognitive Analytics -- 5 Methodology -- 6 Prescriptive Analytics in IoT Through Deep Learning -- 7 Research Model and Discussion -- 7.1 Deep Learning and Prescriptive Analytics -- 7.2 Optimization Algorithms and Prescriptive Algorithms -- 7.3 Prescriptive Analytics and Exploitation Capability -- 7.4 Exploitation Capability and Firms´ Performance -- 8 Conclusion -- 9 Future Research -- References -- IoT Security and New Trends of Solutions -- 1 IoT Security Foundation -- 2 IoT Security in Perception Layer -- 2.1 RFID Security -- 2.2 Sensor and Sensor Network Security -- 3 IoT Security in Network Layer -- 4 IoT Security in Application Layer -- 4.1 General Application Layer Security -- 4.2 Cloud Computing Security -- 5 Case Studies About Future IoT Attacks -- 5.1 Automotive IoT Security -- 5.2 Healthcare IoT Security -- 5.3 Drone IoT Security -- 6 Solutions for the Future of IoT Security -- 6.1 Blockchain-Based Security Solution -- 6.2 AI-Based Security Solution -- 7 Conclusion -- References -- A Hybrid Model of Learning Methodology Analyzed Through the Use of Machine Learning Techniques -- 1 Introduction -- 2 The Learning Hybrid Model Methodology. 3 Canvas Learning Platform and Data Description -- 4 Machine Learning Techniques for Learning Analytics -- 4.1 Naïve Bayes Classifier -- 4.2 Binary Logistic Regression -- 4.3 Artificial Neural Networks -- 4.4 Hierarchical Agglomerative Clustering (HAC) -- 4.5 Multiple Linear Regression Model -- 4.6 Factor Analysis Using Principal Components -- 5 Empirical Results -- 5.1 Naïve Bayes Classifier -- 5.2 Binary Logistic Regression -- 5.3 Artificial Neural Networks -- 5.4 Hierarchical Agglomerative Clustering -- 5.5 Multiple Linear Regression Model -- 5.6 Factor Analysis Using Principal Components -- 5.7 Summary Results -- 6 Conclusions -- References -- Internet of Things Cybersecurity: Blockchain as First Securitisation Layer of an IoT Network -- 1 Introduction -- 2 IoT Cybersecurity Problems -- 3 Blockchain Main Concepts and Cybersecurity Problems -- 4 IIoT + Blockchain, an Affordable Combination -- 5 Study Cases -- 5.1 Smart Home -- 5.2 Smart Home Cluster for Security Enterprises -- 5.3 Smart Updates for IoT Devices -- 6 IIoT + Blockchain, Sum-Up Table -- 7 Conclusion -- 8 Future Research -- References -- A Data-Driven Traffic-Responsive Signal Control for a Smart City Road Network Under Uncertainty -- 1 Introduction -- 2 A Period-Dependent User Equilibrium with Stochastic Travel Delay -- 2.1 Notation -- 2.2 A Data-Driven Period-Dependent Travel Delay -- 2.3 A User Equilibrium Expressed as a Complementarity Problem -- 3 A PDSS Traffic-Responsive Signal Control -- 3.1 Constraints for Period-Dependent Traffic Signals -- 3.2 A Mathematical Program with Equilibrium Constraints (MPEC) -- 3.3 A Stochastic MPEC (SMPEC) -- 4 Solution Method -- 4.1 A Smoothed SMPEC -- 4.2 Sensitivity Analysis -- 4.3 Two-Stage Solution Approach -- 4.3.1 Stage I: A Linear Program for Period-Dependent PI Maximum. 4.3.2 Stage II: A Bundle-Like Approach for Period-Dependent PI Minimum -- 4.4 A Level Set Bundle (LSB) Method -- 4.5 Solution Scheme -- 5 Numerical Experiments and Results -- 5.1 Input Data -- 5.2 Computational Results -- 5.3 Numerical Comparisons with Data-Driven Signal Controls -- 6 Conclusions and Remarks -- References -- Utilization of Consumer Appliances in Smart Grid Services for Coordination with Renewable Energy Sources -- 1 Introduction -- 2 Theoretical Background -- 2.1 Unit Commitment and Renewable Power Sources -- 2.2 Consumer Participation in Smart Grid Services and Demand Response -- 2.3 Ecological and Environmental Aspects of Demand Response -- 3 A Model of Household Participation in Demand Response -- 3.1 Business Model -- 3.2 IoT Infrastructure -- 3.3 Blockchain Infrastructure and Loyalty Management -- 4 Assessing Readiness for Participation in Demand Response -- 4.1 Design, Procedure and Methods -- 4.2 Results -- 5 Conclusion -- References -- Application of Internet of Things (IoT) to Demand-Side Management in Smart Grids -- 1 Introduction -- 2 Demand-Side Management -- 3 Utilizing IoT in Smart Grid Demand-Side Management -- 3.1 Smart Grid Concept -- 3.2 Smart Grid Challenges -- 3.3 IoT in Smart Grid -- 3.4 Smart Home -- 4 IoT-Enabled SHs Algorithms Targeting DSM -- 5 Conclusions -- References -- Understanding the Factors Influencing Consumers´ Behaviour Towards Autonomous Vehicles Adoption -- 1 Introduction -- 2 State of the Art Review -- 2.1 Brief History and Background of Autonomous Vehicles -- 2.2 Autonomous Vehicles as a Disruptive Technology -- 2.3 Concept Underlying User Acceptance -- 2.4 Key Challenges to Autonomous Vehicles Acceptance -- 2.4.1 Safety -- 2.4.2 Legal Implications -- 2.4.3 Social and Ethical Issues -- 2.4.4 Technology -- 2.4.5 Infrastructure -- 2.4.6 Cost -- 2.4.7 Cyber Security. 2.5 Existing Studies of User Acceptance of AVs -- 2.5.1 Safety Benefits -- 2.5.2 Time Savings -- 2.5.3 Fuel Savings -- 3 Formulating the Autonomous Vehicles Technology Acceptance Model (AVTAM) -- 3.1 Performance Expectancy (PE) -- 3.2 Effort Expectancy (EE) -- 3.3 Social Influence (SI) -- 3.4 Self-Efficacy (SE) -- 3.5 Perceived Safety (PS) -- 3.6 Anxiety (AX) -- 3.7 Trust (T) -- 3.8 Legal Regulation (LR) -- 3.9 Hedonic Motivation (HM) -- 3.10 Price Value (PV) -- 3.11 Behavioural Intention (BI) -- 4 Method -- 4.1 Reliability Analysis -- 4.2 Correlation Analysis -- 4.3 Regression Analysis -- 4.4 Structure Equation Modelling (SEM) -- 5 Results -- 6 Conclusion and Future Work -- References -- Development Path, Experience and Implications of the Internet of Things Industry in Wuxi, Jiangsu Province, China -- 1 Introduction -- 2 Analysis of the Development Path of the IoT Industry in Wuxi -- 2.1 Initiation Stage (2009-2012) -- 2.1.1 Determination of the Development Orientation -- 2.1.2 Actively Taking Actions -- 2.2 Development Stage (2013-2015) -- 2.2.1 Forming Industrial Layout of IoT with One Core and Multiple Key Areas -- 2.2.2 Constantly Improving Support by R& -- D Institutions and Public Service Platforms -- 2.2.3 Constantly Expanded Application Demonstration Fields -- 2.3 Rapid Growth Stage (2016-2019) -- 2.3.1 Agglomerative Development Stage of the IoT Industry -- 2.3.2 Transition from Government-Dominated to Market-Dominated Application Mode -- 2.3.3 Rapid Development of Key Enterprises -- 3 Development Experience and Implications of the IoT Industry in Wuxi City -- 3.1 Adhering to the Coordinated Driving to Foster the Development Mode Under the Coupling Driving of the Government and Market -- 3.2 Adhering to Taking Well-Targeted Steps and Building an Open, Collaborative and Sharing Industrial Ecology. 3.3 Persisting Demand Guidance and Cultivating the Innovation Culture of Fault Tolerance, Trial and Error and Error Correction. |
Record Nr. | UNINA-9910502655903321 |
Cham, Switzerland : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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IoT and data science in engineering management : proceedings of the 16th international conference on industrial engineering and industrial management and XXVI Congreso de Ingeniería de Organización / / edited by Fausto Pedro García Márquez [and three others] |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, Springer Nature Switzerland AG, , [2023] |
Descrizione fisica | 1 online resource (551 pages) |
Disciplina | 658.5 |
Collana | Lecture Notes on Data Engineering and Communications Technologies |
Soggetto topico |
Industrial engineering
Internet of things |
ISBN |
9783031279157
9783031279140 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Barriers to Technology Deployment for Sustainable Water Management in the Spanish Food Industry -- An UCC Network Design for Sustainable Urban Logistics in Bilbao -- The LIn Back Principles as a Means of Optimising Logistical-Production Processes -- Segmentation of Industrial Sectors Based on the Characteristics of their Greenhouse Gases Emissions -- Design of a Learning Environment Based on Flip Teaching in Industrial Engineering subjects -- Reconfiguration of Multi-Business Chains Through Vertical Synergies -- Impact of Optimizing Vegetable Freshness on Agri-Food Supply Chain Design -- A Matlab-based Educational Tool for Quantitative Risk Analysis -- Combining Quality Indices in the Retail Location Problem using Generalized Linear Models -- Identification and Prioritisation of Professional Transitions in Manufacturing Operations in the New Context of Industry 4.0 -- An Iterated Prisoner’s Dilemma tool to Play and Learn Inside and Outside the Class -- Requirements for the Development of a Collaboration Platform for Competency-Based Collaboration in Industrial Data Science projects. |
Record Nr. | UNINA-9910683351503321 |
Cham, Switzerland : , : Springer, Springer Nature Switzerland AG, , [2023] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Lean Manufacturing and Six Sigma : Behind the Mask / / edited by Fausto Pedro García Márquez, Isaac Segovia and others |
Pubbl/distr/stampa | London, England : , : IntechOpen, , 2020 |
Descrizione fisica | 1 online resource (174 pages) : illustrations |
Disciplina | 658.4013 |
Soggetto topico | Lean manufacturing |
ISBN | 1-78923-908-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Lean Manufacturing and Six Sigma |
Record Nr. | UNINA-9910409740303321 |
London, England : , : IntechOpen, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Lean manufacturing and six sigma : behind the mask / / edited by Fausto Pedro García Márquez, Isaac Segovia, Tamás Bányai |
Pubbl/distr/stampa | London, England : , : IntechOpen, , 2020 |
Descrizione fisica | 1 online resource (174 pages) |
Disciplina | 658.5 |
Soggetto topico |
Lean manufacturing
Production management |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Lean Manufacturing and Six Sigma |
Record Nr. | UNINA-9910688488003321 |
London, England : , : IntechOpen, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Maintenance Management / / edited by Fausto Pedro García Márquez and Mayorkinos Papaelias |
Pubbl/distr/stampa | London, United Kingdom : , : IntechOpen, , 2020 |
Descrizione fisica | 1 online resource (182 pages) : illustrations some color |
Disciplina | 658.202 |
Soggetto topico | Maintenance |
ISBN | 1-83968-514-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910407742703321 |
London, United Kingdom : , : IntechOpen, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Non-destructive testing / / edited by Fausto Pedro García Márquez, Mayorkinos Papaelias, Noor Zaman |
Pubbl/distr/stampa | Rijeka, Croatia : , : IntechOpen, , [2016] |
Descrizione fisica | 1 online resource (284 pages) : illustrations |
Disciplina | 620.1127 |
Soggetto topico | Nondestructive testing |
ISBN |
953-51-6663-8
953-51-2502-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910317699303321 |
Rijeka, Croatia : , : IntechOpen, , [2016] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Sustainability [[electronic resource] ] : Cases and Studies in Using Operations Research and Management Science Methods / / edited by Fausto Pedro García Márquez, Benjamin Lev |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (453 pages) |
Disciplina | 741.674 |
Collana | International Series in Operations Research & Management Science |
Soggetto topico |
Sustainability
Production management Operations research Business logistics Artificial intelligence Operations Management Operations Research and Decision Theory Supply Chain Management Production Intelligence Infrastructure |
ISBN | 3-031-16620-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Sustainability. Cases and Studies in Using Operations Research and Management Science Methods -- What is Sustainability? A Layman Perspective -- Sustainable Supply Chain Management: Definition, Bibliometrics, Applications and Future Directions -- Applications of Machine Learning Algorithms in Data Sciences -- The machine learning model for identifying bogus profiles in social networking sites -- Support Vector Machine and K-fold cross validation to detect false alarms in wind turbines -- A Hybrid Neural Network Model Based on Convolutional Cascade Neural Networks: An Application for Image Inspection in Production -- A multi-objective sustainable traffic signal control for smart cities under uncertainty -- Multi Criteria Decision Making for Sustainable Transport: A Case Study on Traffic Flow Prediction Using Spatial-Temporal Traffic Sequence -- A Robust Prognostic Indicator for Renewable Energy Fuel Cells: A Hybrid Data-Driven Prediction Approach -- An Assessment of Electricity Markets in Turkey: Price Mechanisms, Regulations, and Methods -- The role of DevOps in Sustainable Enterprise Development -- Practices and indicators of waste and resource management in commercial buildings -- A descriptive comprehension study on solar energy, solar products, and solar product marketing in Indian context -- Precision Livestock Farming (PLF) Systems – Improving Sustainability and Efficiency of Animal Production -- Environmental Assessment of Rural Road Construction in India -- Perspectives on the sustainable steel production process: a critical review of the carbon dioxide (CO2) to methane (CH4) conversion process -- Exergy, Anergy and Sustainability -- Simulating complex relationships between pollutants and the environment using regression splines: A case study for landfill leachate. |
Record Nr. | UNINA-9910644258103321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Ubiquitous intelligent systems : proceedings of second ICUIS 2022 / / P. Karuppusamy, Fausto Pedro García Márquez, Tu N. Nguyen |
Autore | Karuppusamy P. |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (730 pages) |
Disciplina | 004.6 |
Collana | Smart innovation, systems, and technologies |
Soggetto topico |
Computer networks
Ubiquitous computing |
ISBN | 981-19-2541-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910585790803321 |
Karuppusamy P. | ||
Singapore : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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