Pervasive Computing in IoT
In the era of Internet of Things (IoT) that we have entered, the “Monitoring–Decision–Execution” cycle of typical autonomic and automation systems is extended to include distributed developments that might scale from a smart home or greenhouse to a smart city, and from autonomous driving to emergenc...
Zapisane w:
| Format: | Online |
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| Język: | angielski |
| Wydane: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Hasła przedmiotowe: | |
| Dostęp online: | ONIX_20240906_9783725814879_127 |
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| _version_ | 1869522527558041600 |
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| collection | Directory of Open Access Books |
| description | In the era of Internet of Things (IoT) that we have entered, the “Monitoring–Decision–Execution” cycle of typical autonomic and automation systems is extended to include distributed developments that might scale from a smart home or greenhouse to a smart city, and from autonomous driving to emergency management. In such highly distributed and scalable architectures, each of the three processes can be situated at any physical or virtual computing system and located, ideally, at any place. Hence, communication and interoperation between the subsystems that comprise the total IoT system, namely extreme edge, edge, fog, and cloud deployments, are of critical importance. This reprint presents a collection of high-quality, state-of-the-art research papers, each introducing challenging issues in pervasive computing across the different domains of the IoT ecosystem. It comprises four papers focusing on customized application frameworks, three papers dealing with issues of ambient intelligence and assisted living of the aging population, three papers considering blockchain technology in various IoT applications, and two survey papers related to sensors and their applications. |
| format | Online |
| id | doab-20.500.12854ir-143765 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1437652024-09-06T08:20:42Z Pervasive Computing in IoT Panagiotakis, Spyros Markakis, Evangelos K. activity recognition posture transitions inertial sensor feature selection support vector machine ambient intelligence human behavior monitoring smart homes activities of daily living elderly population machine learning internet of things ubiquitous computing big data indoor localization ambient assisted living indoor location human–computer interaction assistive technology blockchain records non-fungible tokens transparency Internet of Things sensor computational intelligence data analytics data pre-processing capacitive sensing low cost tangible sensing interactive surface tactile sensing human-computer interaction (HCI) IoT pervasive computing healthcare smart cities cyber security cyber-physical systems zero-trust ABAC IPFS edge device framework application server platform SEMAR neural networks federated learning learning on the edge device identification unsupervised machine learning remote laboratory Arduino microcontroller programming xAPI LRS assessment types pervasive learning supervised learning n/a thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UY Computer science In the era of Internet of Things (IoT) that we have entered, the “Monitoring–Decision–Execution” cycle of typical autonomic and automation systems is extended to include distributed developments that might scale from a smart home or greenhouse to a smart city, and from autonomous driving to emergency management. In such highly distributed and scalable architectures, each of the three processes can be situated at any physical or virtual computing system and located, ideally, at any place. Hence, communication and interoperation between the subsystems that comprise the total IoT system, namely extreme edge, edge, fog, and cloud deployments, are of critical importance. This reprint presents a collection of high-quality, state-of-the-art research papers, each introducing challenging issues in pervasive computing across the different domains of the IoT ecosystem. It comprises four papers focusing on customized application frameworks, three papers dealing with issues of ambient intelligence and assisted living of the aging population, three papers considering blockchain technology in various IoT applications, and two survey papers related to sensors and their applications. 2024-09-06T08:20:33Z 2024-09-06T08:20:33Z 2024 book ONIX_20240906_9783725814879_127 9783725814879 9783725814886 https://directory.doabooks.org/handle/20.500.12854/143765 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9496 https://mdpi.com/books/pdfview/book/9496 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1488-6 10.3390/books978-3-7258-1488-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725814879 9783725814886 open access |
| spellingShingle | activity recognition posture transitions inertial sensor feature selection support vector machine ambient intelligence human behavior monitoring smart homes activities of daily living elderly population machine learning internet of things ubiquitous computing big data indoor localization ambient assisted living indoor location human–computer interaction assistive technology blockchain records non-fungible tokens transparency Internet of Things sensor computational intelligence data analytics data pre-processing capacitive sensing low cost tangible sensing interactive surface tactile sensing human-computer interaction (HCI) IoT pervasive computing healthcare smart cities cyber security cyber-physical systems zero-trust ABAC IPFS edge device framework application server platform SEMAR neural networks federated learning learning on the edge device identification unsupervised machine learning remote laboratory Arduino microcontroller programming xAPI LRS assessment types pervasive learning supervised learning n/a thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UY Computer science Pervasive Computing in IoT |
| title | Pervasive Computing in IoT |
| title_full | Pervasive Computing in IoT |
| title_fullStr | Pervasive Computing in IoT |
| title_full_unstemmed | Pervasive Computing in IoT |
| title_short | Pervasive Computing in IoT |
| title_sort | pervasive computing in iot |
| topic | activity recognition posture transitions inertial sensor feature selection support vector machine ambient intelligence human behavior monitoring smart homes activities of daily living elderly population machine learning internet of things ubiquitous computing big data indoor localization ambient assisted living indoor location human–computer interaction assistive technology blockchain records non-fungible tokens transparency Internet of Things sensor computational intelligence data analytics data pre-processing capacitive sensing low cost tangible sensing interactive surface tactile sensing human-computer interaction (HCI) IoT pervasive computing healthcare smart cities cyber security cyber-physical systems zero-trust ABAC IPFS edge device framework application server platform SEMAR neural networks federated learning learning on the edge device identification unsupervised machine learning remote laboratory Arduino microcontroller programming xAPI LRS assessment types pervasive learning supervised learning n/a thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UY Computer science |
| topic_facet | activity recognition posture transitions inertial sensor feature selection support vector machine ambient intelligence human behavior monitoring smart homes activities of daily living elderly population machine learning internet of things ubiquitous computing big data indoor localization ambient assisted living indoor location human–computer interaction assistive technology blockchain records non-fungible tokens transparency Internet of Things sensor computational intelligence data analytics data pre-processing capacitive sensing low cost tangible sensing interactive surface tactile sensing human-computer interaction (HCI) IoT pervasive computing healthcare smart cities cyber security cyber-physical systems zero-trust ABAC IPFS edge device framework application server platform SEMAR neural networks federated learning learning on the edge device identification unsupervised machine learning remote laboratory Arduino microcontroller programming xAPI LRS assessment types pervasive learning supervised learning n/a thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UY Computer science |
| url | ONIX_20240906_9783725814879_127 |