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Real-Time Sensor Networks and Systems for the Industrial IoT
| Real-Time Sensor Networks and Systems for the Industrial IoT |
| Autore | Koulamas Christos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (242 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
anomaly detection
BLE Long Range Bluetooth Low Energy (BLE) container controller area network convolutional neural networks cryptography deep sparse coding delay analysis fieldbus hardware design IEEE 802.11ah industrial control systems industrial internet of things Industrial Internet of Things (IIoT) industrial IoT ISA100.11a legacy production machinery LHC LoRa medication adherence medium access control monitoring and control system multi-channel processing multipath retransmission n/a Narrowband IoT (NB-IoT) neural networks compression real-time real-time condition monitoring real-time systems realtime wireless communication recurrent neural networks resource scheduling respiratory diseases security signal analysis simulation modeling Time Slotted Channel Hopping (TSCH) timeliness transmission scheduling scheme trust virtualization WiFi HaLow wireless local area network wireless networked control systems wireless networks Wireless Sensor and Actuator Networks (WSANs) WirelessHART WirelessHART network |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557745003321 |
Koulamas Christos
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Advances in Embedded Computing, Intelligence and Applications
| Recent Advances in Embedded Computing, Intelligence and Applications |
| Autore | Portilla Jorge |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (188 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
2D graphics accelerator
alpha-blending anti-aliasing artificial intelligence block-based neural network Bresenham's algorithm cloud computing code refactoring collaborative filtering Contiki-NG deep learning dynamic and partial reconfiguration edge computing embedded edge computing embedded system embedded systems evolutionary algorithm extreme edge field-programmable gate array flexible fog computing FPGA Gaussian process hardware acceleration hardware design harsh environment high-level synthesis HLS internet of things deployment IoT gateway IoT security line-drawing LoRa low latency low power consumption Movidius VPU neural network neuroevolution neuromorphic processor parallelism performance estimation power consumption quantisation recommender systems reconfigurable hardware reinforcement learning scalability SDSoC smart port support vector machines SVM trustability WiFi ZedBoard Zynq |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576881603321 |
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Portilla Jorge
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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