Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Applications in Electronics Pervading Industry, Environment and Society : Sensing Systems and Pervasive Intelligence
| 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 | ||
| ||
Intelligent Vehicles
| Intelligent Vehicles |
| Autore | Fernández-Llorca David |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (752 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
tracking-by-detection
multi-vehicle tracking Siamese network data association Markov decision process driving behavior real-time monitoring driver distraction mobile application portable system simulation test dynamic driving behavior traffic scene augmentation corridor model IMU vision classification networks Hough transform lane markings detection semantic segmentation transfer learning autonomous off-road driving tire-road forces estimation slip angle estimation gauge sensors fuzzy logic system load transfer estimation simulation results normalization lateral force empirical model driver monitor lane departure statistical process control fault detection sensor fault signal restoration intelligent vehicle autonomous vehicle kinematic model visual SLAM sparse direct method photometric calibration corner detection and filtering loop closure detection road friction coefficient tire model nonlinear observer self-aligning torque lateral displacement Lyapunov method automatic parking system (APS) end-to-end parking reinforcement learning parking slot tracking deceleration planning multi-layer perceptron smart regenerative braking electric vehicles vehicle speed prediction driver behavior modeling electric vehicle control driver characteristics online learning objects’ edge detection stixel histograms accumulate point cloud segmentation autonomous vehicles scene understanding occlusion reasoning road detection advanced driver assistance system trajectory prediction risk assessment collision warning connected vehicles vehicular communications vulnerable road users fail-operational systems fall-back strategy automated driving advanced driving assistance systems illumination shadow detection shadow edge image processing traffic light detection intelligent transportation system lane-changing merging maneuvers game theory decision-making intelligent vehicles model predictive controller automatic train operation softness factor fusion velocity online obtaining hardware-in-the-loop simulation driving assistant driving diagnosis accident risk maps driving safety intelligent driving virtual test environment millimeter wave radar lane-change decision risk perception mixed traffic minimum safe deceleration automated driving system (ADS) sensor fusion multi-lane detection particle filter self-driving car unscented Kalman filter vehicle model Monte Carlo localization millimeter-wave radar square-root cubature Kalman filter Sage-Husa algorithm target tracking stationary and moving object classification localization LiDAR GNSS Global Positioning System (GPS) monte carlo autonomous driving robot motion path planning piecewise linear approximation multiple-target path planning autonomous mobile robot homotopy based path planning LiDAR signal processing sensor and information fusion advanced driver assistance systems autonomous racing high-speed camera real-time systems LiDAR odometry fail-aware sensors sensing percepction object detection and tracking scene segmentation vehicle positioning fail-x systems driver behavior modelling automatic operation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557112303321 |
|
Fernández-Llorca David
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Power Quality in Microgrids Based on Distributed Generators
| Power Quality in Microgrids Based on Distributed Generators |
| Autore | Chandra Ambrish |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (194 p.) |
| Soggetto non controllato |
power quality improvement
differential feedforward weak grid data testing distributed generations voltage-source converter dynamic frequency support coordinated control grid-connection/island switching process virtual damping PV generation virtual inertia autonomous microgrid optimal virtual resistor multi-inverter system standalone microgrid unscented Kalman filter HVDC voltage fluctuation solar photovoltaic system nonlinear dynamic system state estimation voltage stability diesel generator voltage control multi-time scale sliding mode control power system simulation stability analysis grid impedance modeling method shunt inverter voltage compensation 2nd-order lowpass filter virtual synchronous generator microgrid output impedance hybrid energy storage grid-connected inverter parameter identification wind farm frequency stability harmonic suppression current source mode (CSM) voltage source mode (VSM) stand-alone microgrid frequency control vector control power quality control grid-tied inverter submarine cables line commutated converter reference current compensation power quality series inverter impedance enhancement |
| ISBN | 3-03928-007-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367738503321 |
|
Chandra Ambrish
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||