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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Emerging Memory and Computing Devices in the Era of Intelligent Machines |
Autore | Khalili Pedram |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (276 p.) |
Soggetto non controllato |
image classification
bipolar resistive switching characteristics bioelectronic devices self-directed channel (SDC) programmable ramp-down current pulses nanoparticles protein DRAM convolutional neural networks silicon oxide-based memristors electrochemical metallization cell magnetic tunnel junction power gating resistance switching mechanism BCH Fast Fourier Transform nucleic acid biomemory conductive filament resistive random access memory (RRAM) non-von Neumann architecture emerging technologies Galois field variability logic-in-memory charge spreading memristor Hebbian training crossbar quantum point contact SONOS bionanohybrid material ECG neuromorphic computing CUDA low-latency iBM Oxygen-related trap nonvolatile memory phase change memory floating gate non-von neumann architecture 3D-stacked STT-MRAM solution-based dielectric GPU Internet of things configurable logic-in-memory architecture memory wall biologic gate synaptic weight guide training ion conduction perpendicular Nano Magnetic Logic (pNML) Weibull distribution real-time system in-DRAM cache task placement dynamic voltage scaling MCU (microprogrammed control unit) wire resistance multi-level cell chalcogenide decoder character recognition matrix-vector multiplication hybrid magnetoresistive random access memory blockchain electrochemical metallization (ECM) RISC-V U-shape recessed channel neuromorphic system in-memory computing crossbar array associative processor low-power plasma treatment voltage-controlled magnetic anisotropy flash memory resistive memory analogue computing bioprocessor annealing temperatures data retention flip-flop low-power technique |
ISBN | 3-03928-503-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910404088103321 |
Khalili Pedram
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MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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