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Applications in ubiquitous computing / / Raman Kumar, Sara Paiva, editors
| Applications in ubiquitous computing / / Raman Kumar, Sara Paiva, editors |
| Pubbl/distr/stampa | Cham : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (viii, 276 pages) : illustrations |
| Disciplina | 004 |
| Collana | EAI/Springer innovations in communication and computing |
| Soggetto topico |
Electrical engineering
User interfaces (Computer systems) Signal processing Image processing Speech processing systems Management Industrial management Communications Engineering, Networks User Interfaces and Human Computer Interaction Signal, Image and Speech Processing Innovation/Technology Management |
| ISBN | 3-030-35280-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Computer Science and Engineering -- NLP -- Pattern recognition -- Data mining -- Knowledge discovery -- Feature extraction and selection -- Mechanical systems -- Condition monitoring and diagnostics -- Multi-objective optimization in design -- Control system design -- Manufacturing systems -- Development of data-driven models -- Multi-objective optimization of machining parameters -- Engineering management -- Inventory management -- Project selection -- Facility layout design -- Scheduling -- Health science -- Patient condition monitoring and diagnostics -- Clinical decision support systems -- Patient empowerment systems -- Business -- Market analysis and forecasting -- Credit rating -- Conclusion. |
| Record Nr. | UNINA-9910484467203321 |
| Cham : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep learning and edge computing solutions for high performance computing / / A. Suresh, Sara Paiva, editors
| Deep learning and edge computing solutions for high performance computing / / A. Suresh, Sara Paiva, editors |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XII, 279 p. 117 illus.) |
| Disciplina | 610.285 |
| Collana | EAI/Springer innovations in communication and computing |
| Soggetto topico | Medical informatics |
| ISBN | 3-030-60265-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Deep learning methods for applications -- High performance Computing systems for applications in Healthcare -- Hyperspectral data analysis and intelligent systems -- Microarray data analysis -- Sequence analysis -- Genomics based analytics -- Disease network analysis -- Techniques for big data Analytics and health information technology -- Deep Learning and Cross-Media Methods for Big Data Representation -- Mobile edge computing for Large-scale multimodal data acquisition techniques -- Personal Big data driven approaches to collect and analyze large volumes of information from emerging technologies -- Mobile edge computing techniques for healthcare applications -- Swarm intelligence big data computing for healthcare applications -- Conclusion. |
| Record Nr. | UNINA-9910484365803321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Immersive technology in smart cities : augmented and virtual reality in IoT / / editors, Sagaya Aurelia and Sara Paiva
| Immersive technology in smart cities : augmented and virtual reality in IoT / / editors, Sagaya Aurelia and Sara Paiva |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer : , : EAI, , [2022] |
| Descrizione fisica | 1 online resource (270 pages) |
| Disciplina | 006.8 |
| Collana | EAI/Springer innovations in communication and computing |
| Soggetto topico | Augmented reality |
| ISBN | 3-030-66607-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgements -- Contents -- Chapter 1: Exploring Immersive Technology in Education for Smart Cities -- 1.1 Introduction -- 1.1.1 How Does the Technology Fit and What Are the Benefits? -- 1.2 Augmented Reality in Education -- 1.2.1 Remote Collaborative Classrooms -- 1.2.2 Safer Experiments and Demonstrations -- 1.3 Immersive Technology in Four Cs of Learning -- 1.3.1 Critical Thinking and Problem-Solving -- 1.3.2 Creativity and Innovation -- 1.3.3 Collaboration -- 1.3.4 Effective Communication -- 1.4 Applications of Immersive Technology in Education -- 1.4.1 Engineering Education -- 1.4.2 Medical Education -- 1.4.3 Complex Concepts in Mathematics and Space Technology -- 1.4.4 General Education -- 1.5 Research Method -- 1.5.1 Research Design -- 1.5.2 Sample of Study -- 1.5.3 AstroSolar Application -- 1.5.4 Research Process -- 1.5.5 Data Collection Utilities -- 1.6 Results -- 1.6.1 Expert's Interview -- 1.6.2 SUS Score -- 1.6.3 Usability and Learnability Factor -- 1.6.4 Feedback on Positive and Negative SUS Questionnaire -- 1.7 Conclusion and Future Work -- References -- Chapter 2: Immersive Learning About IC-Engine Using Augmented Reality -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Problem Statement and Objective -- 2.4 Methodology -- 2.5 Block Diagram -- 2.6 Implementation -- 2.7 Conclusion and Future Work -- References -- Chapter 3: Location-Based Mobile Augmented Reality Systems: A Systematic Review -- 3.1 Introduction -- 3.2 LBMAR Systems: A Walkthrough of Common Applications and Current State -- 3.3 Research Questions -- 3.4 Research Methods -- 3.5 Planning the Review -- 3.5.1 Data Sources -- 3.5.2 Search Terms -- 3.5.3 Inclusion and Exclusion Criteria -- 3.5.4 Categories for Analysis and Data Coding -- 3.6 Conducting the Review and Reporting the Review -- 3.6.1 Future Research -- 3.7 Conclusion -- References.
Chapter 4: Innovative Natural Disaster Precautionary Methods Through Virtual Space -- 4.1 Introduction -- 4.2 Virtual Reality -- 4.2.1 Working of Virtual Reality -- 4.2.2 Key Features of Virtual Reality Technology -- 4.3 Natural Disasters -- 4.3.1 Causes of Natural Disasters -- 4.4 State of the Art -- 4.5 Proposed Model -- 4.5.1 The Type of Natural Disaster -- 4.5.2 Environment -- 4.5.3 Training -- 4.5.4 Precautionary Measures -- 4.5.5 Scenario Simulation -- 4.5.6 Trainee's Interaction -- 4.6 Result and Discussion -- 4.6.1 Simulation Process -- 4.7 Limitation -- 4.8 Future Enhancements -- 4.9 Conclusion -- References -- Chapter 5: Internet of Things: Immersive Healthcare Technologies -- 5.1 Introduction to Internet of Things -- 5.1.1 IoT Ecosystem and Its Components -- 5.2 Architecture of Internet of Things -- 5.3 Internet of Things in Healthcare -- 5.3.1 IoT Services -- 5.3.1.1 Elderly Assistance Through Ambient-Assisted Living Technology -- 5.3.1.2 IoMT (Internet of M Health) -- 5.3.1.3 Assistance Provided for Adverse Drug Reaction Patients -- 5.3.1.4 Health Concerns of the Public -- 5.3.1.5 IoT Healthcare with the Integration of Wearable Devices -- 5.3.1.6 Emergency Healthcare for Natural Disasters -- 5.3.1.7 Configuration of the Embedded Gateways -- 5.3.2 IoT Applications -- 5.3.2.1 Single Condition -- 5.3.2.2 Clustered-Condition Applications -- 5.4 More Details on the Applications in Healthcare -- 5.4.1 IoT Applications in Healthcare -- 5.4.1.1 Sensors and Technology Used for the Diseases -- 5.4.1.2 Apps in Use for Healthcare -- 5.5 Architecture for Healthcare-Based Internet of Things -- 5.5.1 Perception Layer -- 5.5.2 Network Layer -- 5.5.3 Middleware Layer -- 5.5.4 Application Layer -- 5.5.5 Business Layer -- 5.6 Challenges in Deployment of Healthcare System -- 5.6.1 Rules Regarding Standardization of Merchants and Sellers of Medical Devices. 5.6.2 Analyzing the Cost Effectiveness -- 5.6.3 The Process of Developing the Application -- 5.6.4 Low Power Requirements -- 5.6.5 Types of Network: Data Centric, Service, and Patients Centric -- 5.6.6 Issue of Reducing Scalability -- 5.6.7 Arise of New Conditions and Diseases -- 5.6.8 Identification and Managing Resources -- 5.6.9 The Issue of Quality of Service -- 5.6.10 Managing and Protecting the Data -- 5.6.11 Mobility and Heterogeneous Nature -- 5.7 Security in IoT Healthcare -- 5.7.1 Analyzing the Security Requirements in IoT -- 5.7.2 Security Issues in IoT Healthcare -- 5.7.3 Secured IoT Healthcare -- 5.8 Conclusion -- References -- Chapter 6: Implementation of an Intelligent Model Based on Big Data and Decision-Making Using Fuzzy Logic Type-2 for the Car Assembly Industry in an Industrial Estate in Northern Mexico -- 6.1 Introduction -- 6.1.1 Proposal Methodology -- 6.1.2 Main Stakeholders or Interest Groups -- 6.2 Business Simulators as Knowledge Manager -- 6.2.1 Industry 4.0 -- 6.2.2 Big Data -- 6.2.3 Fuzzy Logic Type-2 -- 6.3 Simulation Execution Methodology -- 6.3.1 Measure Knowledge Management -- 6.3.2 The Intellect Model -- 6.4 Results -- 6.5 Conclusions and Future Research -- 6.5.1 Future Research -- References -- Chapter 7: Cloud Computing Model on Wireless Ad Hoc Network Using Clustering Mechanism for Smart City Applications -- 7.1 Introduction -- 7.1.1 Cloud Computing -- 7.1.2 Clustering Mechanism -- 7.1.3 Clustering Mechanism in Cloud Computing -- 7.1.4 Ad Hoc Networks -- 7.2 Related Works -- 7.2.1 Cloud Computing -- 7.2.2 Ad Hoc Networks -- 7.2.3 Clustering Mechanism in Cloud Computing -- 7.3 Clustering in Cloud Computing -- 7.3.1 Pseudocode: Cluster Creation -- 7.3.2 Pseudocode: Clusterhead Election -- 7.3.3 Experimental Results -- 7.4 Cloud Computing Model on Clustered Wireless Ad Hoc Networks. 7.5 Clustered Wireless Ad Hoc Cloud Network for Smart City Applications -- 7.5.1 Storage and Resource Sharing -- 7.5.2 Data Analytics -- 7.5.3 Virtual Machine Clustering -- 7.5.4 Fog Computing or Edge Computing -- 7.5.5 Green Computing -- 7.6 Conclusion -- References -- Chapter 8: Smart Cities New Paradigm Applications and Challenges -- 8.1 Introduction -- 8.2 The Service Delivery Progression from Push Model into the Ecosystems Model -- 8.3 Pillars of the Fourth Industrial Revolution -- 8.4 The Current State of Smart Services -- 8.5 Smart Cities Services Vs. Smart Connected Giant Technology and Services "SCGTS" -- 8.6 Proposed Smart Cities Collaborative Ecosystems -- 8.6.1 Infrastructure Layer -- 8.6.2 Application Layer -- 8.6.2.1 Application to Application Exchange -- 8.6.2.2 Application to Data Zone Exchange -- 8.6.2.3 Application to Grade Service Exchange -- 8.6.2.4 Application to Infrastructure Exchange -- 8.6.3 Services Layer -- 8.6.4 Cloud of Digital Data -- 8.6.5 End Users -- 8.7 Smart Applications -- 8.7.1 Smart Urban Energy Systems -- 8.7.1.1 Energy Infrastructure -- 8.7.1.2 Energy Applications -- 8.7.1.3 Energy Cloud Zone -- 8.7.1.4 End Users -- 8.7.1.5 Energy Services -- 8.7.1.6 Energy Standardization and Protocols -- 8.7.2 Smart Urban Transportation Systems -- 8.7.2.1 Transportations Infrastructure -- 8.7.2.2 Transportation Applications -- 8.7.2.3 Transportation Cloud Zone -- 8.7.2.4 End Users -- 8.7.2.5 Transportation Services -- 8.7.2.6 Transportation Standardized and Protocols -- 8.8 Transition Plan Properties and Challenges -- 8.9 Conclusion -- 8.10 Exercises -- 8.10.1 Short Answers Questions -- 8.10.2 True/False Questions -- References -- Chapter 9: A Survey on IoT Applications in Smart Cities -- 9.1 Introduction -- 9.2 Related Work -- 9.3 Applications of IoT in Smart Cities -- 9.3.1 Smart Security -- 9.3.2 Smart Services. 9.3.3 Smart Infrastructure -- 9.3.4 Smart Home and Buildings -- 9.3.5 Smart Environment -- 9.3.6 Waste Management -- 9.3.7 Smart Grid -- 9.3.8 E-Governance -- 9.3.9 Smart Agriculture and Animal Farming -- 9.4 Conclusion -- References -- Chapter 10: IoT-Based Water Quality and Quantity Monitoring System for Domestic Usage -- 10.1 Introduction -- 10.1.1 Overview of the Existing Systems -- 10.2 Proposed System -- 10.2.1 Ultrasonic Sensor -- 10.2.2 Turbidity Sensor -- 10.2.3 pH Sensor -- 10.2.4 NTC Thermistor -- 10.2.5 Flow Measurement -- 10.2.6 Arduino UNO -- 10.2.7 RF Module -- 10.2.8 LED -- 10.2.9 LCD -- 10.3 Results and Discussion -- 10.3.1 Steps for Connection -- 10.4 Conclusion and Future Scope -- References -- Chapter 11: Threat Modeling and IoT Attack Surfaces -- 11.1 Introduction -- 11.2 IoT Layered Architecture -- 11.3 IoT Technologies and Protocols -- 11.4 IoT Operating Systems -- 11.5 IT Communication Model -- 11.5.1 Device-to-Device Model -- 11.5.2 Device-to-Cloud Model -- 11.5.3 Device to Gateway Model -- 11.5.4 Back-End Data Sharing Model -- 11.6 IoT Issues and Challenges -- 11.6.1 IoT Security Problems -- 11.7 IoT Vulnerabilities and Attack Surfaces -- 11.8 Tools and Techniques -- 11.8.1 Defend IoT Security Issues -- 11.9 Conclusion -- References -- Index. |
| Record Nr. | UNINA-9910522951203321 |
| Cham, Switzerland : , : Springer : , : EAI, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Science and technologies for smart cities : 6th EAI international conference, SmartCity360°, virtual event, December 2-4, 2020 : proceedings / / Sara Paiva [and five others], editors
| Science and technologies for smart cities : 6th EAI international conference, SmartCity360°, virtual event, December 2-4, 2020 : proceedings / / Sara Paiva [and five others], editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (664 pages) |
| Disciplina | 624 |
| Collana | Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering |
| Soggetto topico | Smart cities |
| ISBN | 3-030-76063-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910484194203321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Science and technologies for smart cities : 6th EAI international conference, SmartCity360°, virtual event, December 2-4, 2020 : proceedings / / Sara Paiva [and five others], editors
| Science and technologies for smart cities : 6th EAI international conference, SmartCity360°, virtual event, December 2-4, 2020 : proceedings / / Sara Paiva [and five others], editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (664 pages) |
| Disciplina | 624 |
| Collana | Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering |
| Soggetto topico | Smart cities |
| ISBN | 3-030-76063-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464492903316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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