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Automation, Control and Energy Efficiency in Complex Systems
| Automation, Control and Energy Efficiency in Complex Systems |
| Autore | Khayyam Hamid |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (242 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
active 4WS system
adaptive-equivalent consumption minimum strategy Air-Conditioning building automation systems building energy efficiency carbon fibers composite controller coupling effect daytime lighting decoupling desert climate differential steering direct expansion air-conditioning (DX A/C) electric vehicle electrical network model Elman Neural Networks EN 15232 standard energy management system EV charging infrastructure event-based consensus extended-range electric bus four-wheel independent-drive fractional order fractional sliding mode control fuzzy bidirectional associative memories (FBAMs) fuzzy cognitive map (FCM) hierarchical control hierarchical event-based control hierarchical leader-follower network intelligent control (IC) IR imaging layer-to-layer delays lighting control systems Lyapunov function Markov chain microstructure MIMO motion control multi-train optimization nonlinear oil-to-electricity transformation for automobiles On-Off control optimal dispatch optimization permanent magnet synchronous motor polyacrylonitrile recirculation fan frequency regenerative energy dynamic losses robustness skid steering sliding mode control sliding mode variable structure control sliding surface SOC reference curve stability analysis steep slope target driving cycles thermal stabilization URT vehicle-to-grid |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557289803321 |
Khayyam Hamid
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sensors Application in Agriculture
| Sensors Application in Agriculture |
| Autore | Paraforos Dimitrios S |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (228 p.) |
| Soggetto topico |
Biology, life sciences
Research & information: general Technology, engineering, agriculture |
| Soggetto non controllato |
agricultural engineering
agricultural sensors agriculture airborne spray drift autonomous robot Barents region calibration function canopy temperature capacitive soil moisture sensor cosmic-ray CRNS Data-driven agriculture date palms digital farming digitalization Drainage Pipe Mapping drift risk assessment tool dynamic vapor sorption electric weeder embedded sensors fluorescence food security food system fungal infection Ground Penetrating Radar (GPR) high-precision dryer human security hyperspectral infrared thermography inspection techniques Internet of things internet-based data acquisition intra-row IR imaging IRT ISO 11783 ISOBUS maximum temperature difference modeling neutron nitrogen fertilisation plantation management precision agriculture precision farming Real-Time Kinematic Global Navigation Satellite System (RTK/GNSS) Rear hitch position reflectance remote sensing RFID rotary harrow row following secondary tillage sedimenting spray drift sensor fusion soil erosion soil moisture soil moisture content sonar spectrometry spray drift reduction sustainability sustainable thermal tree inspection tree monitoring trees inspection trees monitoring under-vine viticulture VTA water water vapor pressure deficit weather conditions wheat wheat genotypes Wheel-based machine speed yield |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557108803321 |
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Paraforos Dimitrios S
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| 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 online resource (174 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
advanced driver-assistance systems (ADAS)
affective computing artificial intelligence brain computer interface (BCI) computer vision consumer preferences convolutional recurrent neural network deep convolutional neural network deep learning deep neural network (DNN) dimensionality reduction driver health risk driver stress state EEG signal electroencephalogram (EEG) emotion analysis emotion recognition facial expression analysis facial recognition Gaussian kernel human computer interaction human-robot interaction image processing image-mining intelligent speech signal processing IR imaging Laplacian prior line segment feature analysis logistic regression machine learning micro facial expressions mobile tool neuromarketing optical flow pattern recognition real-time processing self-management interview application social robots supervised learning support vector machine (SVR) texture descriptors thermal IR imaging 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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