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