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Internet of Things and Sensors Networks in 5G Wireless Communications
| Internet of Things and Sensors Networks in 5G Wireless Communications |
| Autore | Zhao Guodong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (222 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
5G
aperiodic traffic cloud computing congestion CSMA Cyber Physical System D2D communication deployment deterministic dielectric constant distributed mechanism edge computing eMBB end-to-end delay energy efficiency estimation fog computing grant-free heterogeneous networks industrial automation Industrial Internet of Things Industry 4.0 internet of things Internet of Things IoT irregular repetition slotted ALOHA latency liquid detection M2M MAC medium access control mMTC MU association narrowband NB-IoT non-orthogonal multiple access PHY polynomial interpolation power control radio propagation random access Raspberry Pi reliability resource allocation scheduling sensor sensor network SINR smart devices smart factory stochastic geometry successive interference cancellation survey throughput time-critical ultra-reliable and low-latency communications URLLC USRP WCI |
| ISBN | 3-03928-149-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910372782203321 |
Zhao Guodong
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Open-Source Electronics Platforms : : Open-Source Electronics Platforms / / Trung Dung Ngo
| Open-Source Electronics Platforms : : Open-Source Electronics Platforms / / Trung Dung Ngo |
| Autore | Ngo Trung Dung |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (262 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
distributed measurement systems
open-source platform FPGA technology convergence distributed energy resource vision system infrared DC/DC converter modified sliding window algorithm virtual sensor open platform context maximum power point tracking (MPPT) ontology Python EPICS human-computer interface (HCI) visual algorithms open hardware automated vehicle interleaved electromyogram (EMG) sensor detection smart farming digital signal controllers blockchain PiCamera eye tracking smart cities Arduino smart converter OPC UA Field Programmable Gate Array (FPGA) wireless sensor networks Raspberry Pi BeagleBoard service learning embedded systems education individual management of livestock robotics sensor networks dsPIC thermal imaging photovoltaic (PV) system hardware trojan taxonomy science teaching side channel analysis coalition electrooculogram (EOG) automation networks robotic tool cloud computing Java industry 4.0 teaching robotics Digital Signal Processor (DSP) piecewise linear approximation (PLA) Internet of Things Cloud of Things STEM support vector regression cyber-physical systems interaction node-RED momentum data sensing remote sensing platform |
| ISBN |
9783038979739
3038979732 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346858203321 |
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Ngo Trung Dung
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Signal Processing Using Non-invasive Physiological Sensors
| Signal Processing Using Non-invasive Physiological Sensors |
| Autore | Niazi Imran Khan |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (222 p.) |
| Soggetto topico | Medical equipment and techniques |
| Soggetto non controllato |
acoustic
AMR voice auscultation sites biomedical signal processing blink brain-computer interface Brain-Computer Interface channel of interest channel selection classification computer aided diagnosis congenital heart disease convolution neural network (CNN) convolutional neural network (CNN) deep neural network discrete wavelet transform ECG ECG derived respiration (EDR) EEG Electrocardiogram (ECG) electroencephalogram (EEG) electroencephalography EMG emotion recognition empirical mode decomposition eye blink feature extraction feature selection and reduction functional near-infrared spectroscopy GSR home automation human machine interface (HMI) hybrid brain-computer interface (BCI) hypertension image gradient image processing long short-term memory (LSTM) machine learning mel-frequency cepstral coefficients mental imagery mobile motor imagery movement intention movement-related cortical potential multiscale principal component analysis myoelectric control neurorehabilitation Open-CV pattern recognition phonocardiogram physiological signals pulse plethysmograph quadriplegia Raspberry Pi reaction reflex region of interest rehabilitation respiratory rate (RR) response short-time Fourier transform (STFT) sound startle statistical analysis steady-state visually evoked potential (SSVEP) stroke successive decomposition index support vector machines wheelchair z-score method |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566473903321 |
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Niazi Imran Khan
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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