Applications in Electronics Pervading Industry, Environment and Society : Sensing Systems and Pervasive Intelligence |
Autore | Saponara Sergio |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (258 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
model-based design
FPGA HDL code generation wearable sensors embedded devices face recognition face verification biometric sensors deep learning distillation convolutional neural networks spatial transformer network video coding discrete cosine transform directional transform VLSI alternative representations to float numbers posit arithmetic Deep Neural Networks (DNNs) neural network activation functions surface electromyography event-driven functional electrical stimulation embedded system resampling interpolating polynomial polyphase filter digital circuit design ASIC bitmap indexing processing in memory memory wall big data internet of things intelligent sensors autonomous driving cyber security HW accelerator on-chip random number generator (RNG) SHA2 ASIC standard-cell machine learning edge computing edge analytics ANN k-NN SVM decision trees ARM X-Cube-AI STM32 Nucleo rad-hard PLL (phase-locked loop) SEE (single event effects) Spacefibre TID (total ionization dose) charge pump phase/frequency detector frequency divider ring oscillator LC-tank oscillator SpaceFibre rad-hard circuits radiation effects high-speed data transfer support attitude inertial measurement unit coal mining unscented Kalman filter quaternion gradient descent research data collection and sharing connected and automated driving deployment and field testing vehicular sensors impact assessment knowledge management collaborative project methodology |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Applications in Electronics Pervading Industry, Environment and Society |
Record Nr. | UNINA-9910557367703321 |
Saponara Sergio | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Wearable and Nearable Biosensors and Systems for Healthcare |
Autore | Di Rienzo Marco |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (226 p.) |
Soggetto topico |
Humanities
Social interaction |
Soggetto non controllato |
tangent space
Riemannian geometry particle swarm optimization (PSO) BCI EEG electro-oscillography (EOG) CSP FBCSP (filter bank common spatial pattern) online learning ballistocardiography pressure sensor Emfit home monitoring sleep recording sleep apnea unsupervised learning synchronization acoustic emissions joint sounds glove wearable sensing knee joint loading quaternion smartphone feature engineering human activity recognition sensor fusion ballistocardiogram blood pressure stroke volume cardiac output total peripheral resistance photoplethysmography photoplethysmogram heart rate consumer-wearable devices in-ear validation optical pulse rate monitoring pulse rate seismocardiography ultra-short heart rate variability stress evaluation accelerometers robotic assistant systems for surgery expertise pick-and-drop simulator task grip force profiles grip force control body sensor network wearable sensor telemedicine telerehabilitation seismocardiogram acceleration electrocardiogram cardiac mechanics pulse transit time adaptive recursive least squares filter (ARLSF) Seismocardiography (SCG) motion artifact Electrocardiogram (ECG) ageing gender machine learning support vector machine voice analysis pressure sensors compression therapy thin-film sensors wireless sensors medical pressure monitoring capacitive sensors flexible sensors LC sensor wound monitoring |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557338203321 |
Di Rienzo Marco | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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