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
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Machine Learning and Data Mining Applications in Power Systems |
Autore | Leonowicz Zbigniew |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (314 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology Energy industries & utilities |
Soggetto non controllato |
virtual power plant (VPP)
power quality (PQ) global index distributed energy resources (DER) energy storage systems (ESS) power systems long-term assessment battery energy storage systems (BESS) smart grids conducted disturbances power quality supraharmonics 2-150 kHz Power Line Communications (PLC) intentional emission non-intentional emission mains signalling virtual power plant data mining clustering distributed energy resources energy storage systems short term conditions cluster analysis (CA) nonlinear loads harmonics, cancellation, and attenuation of harmonics waveform distortion THDi low-voltage networks optimization techniques different batteries off-grid microgrid integrated renewable energy system cluster analysis K-means agglomerative ANFIS fuzzy logic induction generator MPPT neural network renewable energy variable speed WECS wind energy conversion system wind energy frequency estimation spectrum interpolation power network disturbances COVID-19 time-varying reproduction number social distancing load profile demographic characteristic household energy consumption demand-side management energy management time series Hidden Markov Model short-term forecast sparse signal decomposition supervised dictionary learning dictionary impulsion singular value decomposition discrete cosine transform discrete Haar transform discrete wavelet transform transient stability assessment home energy management binary-coded genetic algorithms optimal power scheduling demand response Data Injection Attack machine learning critical infrastructure smart grid water treatment plant power system |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910576877503321 |
Leonowicz Zbigniew
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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