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Circuits and Systems Advances in Near Threshold Computing
| Circuits and Systems Advances in Near Threshold Computing |
| Autore | Roy Sanghamitra |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (120 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
machine learning
neural networks gait analysis embedded system NTV NTC low-power low-voltage memory and clocking circuits minimum-energy design power-performance resilient adaptive computing edge devices power management energy efficiency near-threshold computing (NTC) deep neural network (DNN) accelerators timing error AI tensor processing unit (TPU) multiply and accumulate (MAC) reliability Near-Threshold Computing functional unit performance optimization cross-layer optimization |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557367903321 |
Roy Sanghamitra
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mathematical Modelling of Energy Systems and Fluid Machinery
| Mathematical Modelling of Energy Systems and Fluid Machinery |
| Autore | Morini Mirko |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (256 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
centrifugal pump
double hidden layer Levenberg–Marquardt algorithm performance prediction thermal energy storage stratification dynamic simulation heating double-channel sewage pump critical wall roughness numerical calculation external characteristics axial-flow pump impeller approximation model optimization design multi-disciplinary blade slot orthogonal test numerical simulation Francis turbine anti-cavity fins draft tube vortex rope low flow rates internal flow characteristics unsteady pressure energy recovery turboexpander throttling valves CFD modelling techniques Kaplan turbine draft tube optimization CFD analysis DOE response surface single-channel pump CFD-DEM coupling method particle features and behaviors solid-liquid two-phase flows computational fluid dynamics (CFD) artificial neural network (ANN) subcooled boiling flows uncertainty quantification (UQ) Monte Carlo dropout deep ensemble deep neural network (DNN) intake structures physical hydraulic model free surface flow free surface vortices vertical pump design considerations magnetocaloric effect coefficient of performance refrigeration capacity mathematical modelling energy systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557308703321 |
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Morini Mirko
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Advances in Indoor Localization Systems and Technologies
| Recent Advances in Indoor Localization Systems and Technologies |
| Autore | Simon Gyula |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (502 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
filter
finite memory structure infinite memory structure smoother target tracking Indoor Positioning System WLAN C-Means K-Means Access Point Selection RSS-fingerprint smartphone pedestrian dead reckoning heading estimation autoregressive model adaptive Kalman filter indoor localization Wi-Fi received signal strength indicator (RSSI) semisupervised learning feature extraction mobile fingerprinting trajectory learning localization hybrid localization Bluetooth Low Energy extended kalman filter internet of things proximity sensors smartphone sensors pedestrian dead reckoning (PDR) Wi-Fi indoor positioning sensor fusion frameworks Kalman filter location fingerprinting trilateration received signal strength indication (RSSI) indoor positioning 5G system hybrid positioning geometric dilution of precision closed-form solution Cramer-Rao lower bound visually impaired (VI) computer vision deep learning multi-label convolutional support vector machine (M-CSVM) assistive technology visually impaired navigational system indoor navigation markers mobile robots wireless sensor network time of arrival (TOA) NLOS modified probabilistic data association (MPDA) indoor location recognition received signal strength (RSS) Wi-Fi fingerprint positioning deep neural network (DNN) optimization methods adaptive filter hidden Markov models (HMM) I/O detection GPS signal machine learning positioning applications PDR geomagnetic positioning particle filter genetic algorithm Wi-Fi fine timing measurement NLOS identification Gaussian model carrier phase differential pseudolite system extended Kalman filter reliability integrity monitoring transparent obstacle recognition reflection noise laser range finder path planning mobile robot automated data acquisition remote sensing technologies automated progress reporting data fusion tracking resources bearing estimation azimuth estimation signal processing position estimation photodiode array indoor ranging algorithm channel state information received signal strength indicator VPR fusion navigation UWB multi-path detection NLOS and MP discrimination SVM random forest multilayer perceptron LOS DWM1000 fingerprinting smart buildings mobile devices indoor localization technologies model based techniques quality control |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557333003321 |
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Simon Gyula
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Ubiquitous Technologies for Emotion Recognition
| Ubiquitous Technologies for Emotion Recognition |
| Autore | Banos Oresti |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (174 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
self-management interview application
emotion analysis facial recognition image-mining deep convolutional neural network emotion recognition pattern recognition texture descriptors mobile tool neuromarketing brain computer interface (BCI) consumer preferences EEG signal deep learning deep neural network (DNN) electroencephalogram (EEG) logistic regression Gaussian kernel Laplacian prior affective computing human–robot interaction thermal IR imaging social robots facial expression analysis line segment feature analysis dimensionality reduction convolutional recurrent neural network driver health risk intelligent speech signal processing human computer interaction supervised learning computer vision optical flow micro facial expressions real-time processing driver stress state IR imaging machine learning support vector machine (SVR) advanced driver-assistance systems (ADAS) artificial intelligence image processing video processing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557366303321 |
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Banos Oresti
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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