Challenges and Directions Forward for Dealing with the Complexity of Future Smart Cyber-Physical Systems |
Autore | Törngren Martin |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (232 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
component-based software engineering
mode mode-switch complexity cyber-physical systems systems engineering uncertainty microgrid distributed design self-similar architecture plug-n-play distributed control distribution network field test autonomous cyber-physical systems resilience ethics nano-bio-info-cogno technologies smart cyber-physical systems self-generated intelligence ampliative reasoning mechanism procedural abduction data-driven system control run-time acquired data computational functions self-adaptation capability human/socially-centered applications embedded systems software component component-based development CBD GPU GPU component allocation component allocation architecture layer time-triggered system real-time adaptation scheduling multi-core real-time systems Fixed-Priority Preemptive Scheduling (FPPS) mixed-criticality systems Cyber Physical Systems Reactive Systems Model-Based Design Embedded Systems Automatic Code Generation IDE Internet of Things model testing mutation testing energy consumption EAST-ADL |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557582003321 |
Törngren Martin
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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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Data-Intensive Computing in Smart Microgrids |
Autore | Herodotou Herodotos |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (238 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
electricity load forecasting
smart grid feature selection Extreme Learning Machine Genetic Algorithm Support Vector Machine Grid Search AMI TL SG NB-PLC fog computing green community resource allocation processing time response time green data center microgrid renewable energy energy trade contract real time power management load forecasting optimization techniques deep learning big data analytics electricity theft detection smart grids electricity consumption electricity thefts smart meter imbalanced data data-intensive smart application cloud computing real-time systems multi-objective energy optimization renewable energy sources wind photovoltaic demand response programs energy management battery energy storage systems demand response scheduling automatic generation control single/multi-area power system intelligent control methods virtual inertial control soft computing control methods |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557603203321 |
Herodotou Herodotos
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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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Image Processing Using FPGAs |
Autore | Bailey Donald |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (204 p.) |
Soggetto non controllato |
nuclei detection
System-on-Chip FPGA K-Means hardware acceleration image analysis perceptual coding line buffer heterogeneous computing window filters processor architectures hardware accelerators stream processing embedded systems image processing pipeline image processing generalized Laplacian of Gaussian filter background estimation real-time systems FPGA implementation hardware architecture compression image borders memory zig-zag scan histopathology just-noticeable difference (JND) memory management downsampling image segmentation feature extraction design mean Shift clustering high-throughput segmentation streaming architecture power D-SWIM hardware/software co-design high-level synthesis contrast masking texture detection pipeline field programmable gate array (FPGA) JPEG-LS low-latency connected components analysis luminance masking field programmable gate arrays (FPGA) |
ISBN | 3-03897-919-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910346693003321 |
Bailey Donald
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Real-Time Sensor Networks and Systems for the Industrial IoT |
Autore | Koulamas Christos |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (242 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
anomaly detection
recurrent neural networks neural networks compression LHC WirelessHART network delay analysis real-time systems multi-channel processing simulation modeling transmission scheduling scheme industrial internet of things wireless networks industrial control systems wireless networked control systems industrial IoT security legacy production machinery real-time condition monitoring wireless local area network IEEE 802.11ah medium access control timeliness Wireless Sensor and Actuator Networks (WSANs) multipath retransmission resource scheduling realtime wireless communication monitoring and control system virtualization controller area network fieldbus real-time container Industrial Internet of Things (IIoT) LoRa WiFi HaLow Time Slotted Channel Hopping (TSCH) Narrowband IoT (NB-IoT) Bluetooth Low Energy (BLE) BLE Long Range WirelessHART ISA100.11a deep sparse coding convolutional neural networks signal analysis respiratory diseases medication adherence hardware design trust cryptography |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557745003321 |
Koulamas Christos
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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