Sensor Networks
This reprint presents a collection of original research and survey articles that tackle the practical challenges in large-scale and rapid deployment of sensors for diverse applications as well as the resulting Big Data processing. The complexity of the generated data ranges from large-scale sensor n...
Збережено в:
| Формат: | Online |
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| Мова: | Англійська |
| Опубліковано: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Предмети: | |
| Онлайн доступ: | ONIX_20230623_9783036574684_36 |
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| _version_ | 1869519823313043456 |
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| collection | Directory of Open Access Books |
| description | This reprint presents a collection of original research and survey articles that tackle the practical challenges in large-scale and rapid deployment of sensors for diverse applications as well as the resulting Big Data processing. The complexity of the generated data ranges from large-scale sensor networks to smartphone-enabled citizen sensing data from social networks and personal health devices, which requires advanced data processing, mining and fusion methods. Solutions listed in this book include those that address issues of the interoperability of IoT solutions and data fragmentation through crawling, indexing and searching IoT data sources and the predictive maintenance of sensors. Social networks are also in scope, through a visualisation system for the analysis of anomalies in social graphs, detecting context-aware sociability patterns and assessing the effectiveness of fine tuning and pretrained word embedding in generating interpretable topics from short texts in social networks. Applications in scope include smart tourism, fall detection through personal health sensors and an energy management expert assistant. |
| format | Online |
| id | doab-20.500.12854ir-100804 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1008042024-04-09T23:16:04Z Sensor Networks De, Suparna Moessner, Klaus anomaly detection visualization social communication egocentric network internet of things mental health pervasive computing context awareness sociability social behavior sociability pattern fall detection wearable sensors sampling rate data preprocessing feature extraction Machine Learning Internet of Things search security privacy reliability IoT search framework IoT data sources home energy management systems (HEMS) Internet of Things (IoT) artificial intelligence (AI) Voice Assistant machine learning (ML) big data fault detection sensor data industry 4.0 data reduction feature analysis feature selection indicators artificial neural network location privacy perturbation mechanism proximity detection digital contact tracing multi-floor areas short-text data neural-topic model pretrained word embedding coherent topic fine-tuning smart tourism social sensing sensors e-tourism distributed-architecture Spark Zenoh FaaS Elasticsearch industrial revolution 4.0 (IR 4.0) computer networks network security wireless sensor networks (WSN) systematic literature review (SLR) state-of-the-art aggregation authentication key management smart home smart meter n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology This reprint presents a collection of original research and survey articles that tackle the practical challenges in large-scale and rapid deployment of sensors for diverse applications as well as the resulting Big Data processing. The complexity of the generated data ranges from large-scale sensor networks to smartphone-enabled citizen sensing data from social networks and personal health devices, which requires advanced data processing, mining and fusion methods. Solutions listed in this book include those that address issues of the interoperability of IoT solutions and data fragmentation through crawling, indexing and searching IoT data sources and the predictive maintenance of sensors. Social networks are also in scope, through a visualisation system for the analysis of anomalies in social graphs, detecting context-aware sociability patterns and assessing the effectiveness of fine tuning and pretrained word embedding in generating interpretable topics from short texts in social networks. Applications in scope include smart tourism, fall detection through personal health sensors and an energy management expert assistant. 2023-06-23T09:43:44Z 2023-06-23T09:43:44Z 2023 book ONIX_20230623_9783036574684_36 9783036574684 9783036574691 https://directory.doabooks.org/handle/20.500.12854/100804 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7267 https://mdpi.com/books/pdfview/book/7267 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-7469-1 10.3390/books978-3-0365-7469-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036574684 9783036574691 316 Basel open access |
| spellingShingle | anomaly detection visualization social communication egocentric network internet of things mental health pervasive computing context awareness sociability social behavior sociability pattern fall detection wearable sensors sampling rate data preprocessing feature extraction Machine Learning Internet of Things search security privacy reliability IoT search framework IoT data sources home energy management systems (HEMS) Internet of Things (IoT) artificial intelligence (AI) Voice Assistant machine learning (ML) big data fault detection sensor data industry 4.0 data reduction feature analysis feature selection indicators artificial neural network location privacy perturbation mechanism proximity detection digital contact tracing multi-floor areas short-text data neural-topic model pretrained word embedding coherent topic fine-tuning smart tourism social sensing sensors e-tourism distributed-architecture Spark Zenoh FaaS Elasticsearch industrial revolution 4.0 (IR 4.0) computer networks network security wireless sensor networks (WSN) systematic literature review (SLR) state-of-the-art aggregation authentication key management smart home smart meter n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Sensor Networks |
| title | Sensor Networks |
| title_full | Sensor Networks |
| title_fullStr | Sensor Networks |
| title_full_unstemmed | Sensor Networks |
| title_short | Sensor Networks |
| title_sort | sensor networks |
| topic | anomaly detection visualization social communication egocentric network internet of things mental health pervasive computing context awareness sociability social behavior sociability pattern fall detection wearable sensors sampling rate data preprocessing feature extraction Machine Learning Internet of Things search security privacy reliability IoT search framework IoT data sources home energy management systems (HEMS) Internet of Things (IoT) artificial intelligence (AI) Voice Assistant machine learning (ML) big data fault detection sensor data industry 4.0 data reduction feature analysis feature selection indicators artificial neural network location privacy perturbation mechanism proximity detection digital contact tracing multi-floor areas short-text data neural-topic model pretrained word embedding coherent topic fine-tuning smart tourism social sensing sensors e-tourism distributed-architecture Spark Zenoh FaaS Elasticsearch industrial revolution 4.0 (IR 4.0) computer networks network security wireless sensor networks (WSN) systematic literature review (SLR) state-of-the-art aggregation authentication key management smart home smart meter n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | anomaly detection visualization social communication egocentric network internet of things mental health pervasive computing context awareness sociability social behavior sociability pattern fall detection wearable sensors sampling rate data preprocessing feature extraction Machine Learning Internet of Things search security privacy reliability IoT search framework IoT data sources home energy management systems (HEMS) Internet of Things (IoT) artificial intelligence (AI) Voice Assistant machine learning (ML) big data fault detection sensor data industry 4.0 data reduction feature analysis feature selection indicators artificial neural network location privacy perturbation mechanism proximity detection digital contact tracing multi-floor areas short-text data neural-topic model pretrained word embedding coherent topic fine-tuning smart tourism social sensing sensors e-tourism distributed-architecture Spark Zenoh FaaS Elasticsearch industrial revolution 4.0 (IR 4.0) computer networks network security wireless sensor networks (WSN) systematic literature review (SLR) state-of-the-art aggregation authentication key management smart home smart meter n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20230623_9783036574684_36 |