Analysis for Power Quality Monitoring
| Analysis for Power Quality Monitoring |
| Autore | González de la Rosa Juan-José |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (210 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
big data
computational solutions for advanced metering infrastructure (AMI) constant amplitude trend convolution neural network data compression data scalability DC power quality indices dense-mesh topology detection digital signal processing distribution networks dynamic phasor estimation embedded microcontroller embedded system energizing warning flicker fourth-order statistics FPGA harmonics higher-order statistics (HOS) improved principal component analysis induction machines IoT islanding operation Kalman filters limited resources hardware long-term low computational cost low cost monitor low-voltage DC networks machine learning modelling modulation municipal distribution network operation analysis phasor measurement phasor measurement units power distribution systems power event detection power quality power quality (PQ) power quality disturbance power quality disturbances power quality monitor power quality monitoring power system measurements PQ indices and thresholds reconfigurable computing reliability RMS voltage estimation sensor node sensors and instruments for PQ signal waveform compression smart grid smart grid (SG) applications smart grids soft computing spectral kurtosis statistical signal processing voltage fluctuations voltage ripple voltage sags wind-grid distribution wireless sensor network |
| ISBN | 3-03928-111-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404080603321 |
González de la Rosa Juan-José
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Assessing Complexity in Physiological Systems through Biomedical Signals Analysis
| Assessing Complexity in Physiological Systems through Biomedical Signals Analysis |
| Autore | Castiglioni Paolo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (296 p.) |
| Soggetto topico |
Mathematics & science
Research & information: general |
| Soggetto non controllato |
aging in human population
Alzheimer's disease approximate entropy autonomic nervous function autonomic nervous system baroreflex baroreflex sensitivity (BRS) biomarker blood pressure brain brain dynamics brain functional networks brain signals cardiovascular system central autonomic network cognitive task complexity complexity analysis conditional transfer entropy correlation dimension cross-entropy data compression detrended fluctuation analysis digital volume pulse (DVP) dynamic functional connectivity ECG ectopic beat entropy event-related de/synchronization factor analysis fetal heart rate fNIRS fractal dimension fragmentation fuzzy entropy heart rate heart rate variability heart rate variability (HRV) hypobaric hypoxia information dynamics information flow interconnectivity K-means clustering algorithm labor largest Lyapunov exponent linear prediction mental arithmetics motor imagery multifractality multiscale multiscale complexity multivariate time series analysis network physiology nonlinear analysis partial information decomposition penalized regression techniques percussion entropy index (PEI) photo-plethysmo-graphy (PPG) posture preterm recurrence quantification analysis refined composite multiscale entropy rehabilitation medicine relative consistency Sampen sample entropy self-organized criticality self-similarity sEMG single-channel analysis State-space models static functional connectivity support vector machines classification time series analysis vasovagal syncope vector autoregressive model vector quantization Zipf's law |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557601803321 |
Castiglioni Paolo
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data Analytics and Applications of the Wearable Sensors in Healthcare
| Data Analytics and Applications of the Wearable Sensors in Healthcare |
| Autore | Syed Abdul Shabbir |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (498 p.) |
| Soggetto topico |
Humanities
Social interaction |
| Soggetto non controllato |
accelerometer
accelerometers accidental falls actigraph actigraphy action research arm test activities of daily living activity monitoring activity recognition and monitoring artificial intelligence behaviour analysis biofeedback biomedical signal processing biomedical technology bispectrum body worn sensors calibration cameras citizen science classifier efficiency classifier optimization clothing sensors cluster analysis conductive gels cross correlation analysis data compression deep learning denoising disease prevention edge computing eHealth electrocardiogram embedded system encoding energy expenditure entropy exercise experiment exercise intervention exercise therapy fall detection feature extraction feature selection filtering algorithm free-living frequency-domain features functional decline Gaussian mixture model GENEactiv accelerometer genetic algorithm GIS GPS gyroscope health healthcare healthcare movement sensing heart failure (HF) heart rate heart rate variability heat stroke hemodialysis hidden Markov model human activity recognition human factors human movement impedance pneumography inertial measurement unit inertial measurement units integration IoT IoT wearable monitor latent features left ventricular ejection fraction (LVEF) longitudinal study LSTM machine learning machine learning for real-time applications magnetometer mechanocardiogram (MCG) MIMU mobile health monitoring motion motion sensors multivariate analysis musculoskeletal disorders myocardial ischemia n/a neural network non-contact sensor non-wearable sensors noncontact electrode occupational healthcare one-class classification optoelectronic plethysmography orientation-invariant sensing orthopedics P-Ergonomics pacemaker patient health and state monitoring pattern classification performance measures personal risk detection physical activity physical activity classification physical activity type physical workload physiological parameters posture analysis precision ergonomics predictive analytics principal component analysis probabilistic inference qualitative real-life real-world recurrent neural networks respiration rate respiratory monitoring sedentary behavior services signal analysis signal processing skill assessment smart clothes smart textiles spinal posture state space model supervised machine learning talking detection technology acceptance model (TAM) Telemedicine time-domain features upper extremity ventricular premature contraction walking wavelets wearable wearable biomedical sensors wearable device wearable devices wearable sensing wearable sensor wearable sensors wearable systems for healthcare wearables wellbeing at work wireless sensor network |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557288603321 |
Syed Abdul Shabbir
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Remote Sensing Data Compression
| Remote Sensing Data Compression |
| Autore | Lukin Vladimir |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (366 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
3D-CALIC
CCSDS CCSDS 123.0-B-2 compact data structure complexity compressed sensing compression impact compressive sensing computational complexity coupled dictionary crop classification DACs data compression EBCOT Elias codes FAPEC FPGA fully convolutional network GPU graph filterbanks graph signal processing group convolution HEVC high bit-depth compression hyperspectral hyperspectral image hyperspectral image coding hyperspectral images hyperspectral imaging hyperspectral scenes image classification image quality integer-to-integer transforms intra coding invertible projection JPEG 2000 JPEG2000 k2-raster k2-tree Landsat-8 learned compression lossless compression lossy compression M-CALIC multispectral multispectral image compression multispectral satellite images near-lossless hyperspectral image compression neural networks on board compression on-board compression on-board data compression on-board processing parallel computing partitioned extraction PCA PForDelta quadtree rate-distortion real time real-time compression real-time performance real-time transmission remote sensing remote sensing data compression Rice codes semantic segmentation Sentinel-2 Simple16 Simple9 singular value spectral image spectral-spatial feature synthetic aperture sonar task-driven learning tensor decomposition transform transform coding UAV UAVs underwater sonar imaging variational autoencoder visual quality metrics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557383103321 |
Lukin Vladimir
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||