Nondestructive Testing (NDT) |
Autore | Lacidogna Giuseppe |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (266 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
pulsed eddy current
ferromagnetic sample conductivity permeability non-destructive test impact-echo method tunnel void experimental model numerical simulation signal analysis transfer learning spectrogram analysis selecting samples non-destructive testing hammering sound regression algorithm Lamb wave microcracks testing multi-channel detection signal-to-noise ratio thin-walled tube damage detection cepstral analysis Structural Health Monitoring Machine Learning Teager-Kaiser Energy gammatone filter acoustic emission melting ice aviation fuel system acoustoelastic effect stress estimation surface waves weak anisotropy material damage assessment smart sensor magnetoelastic strip 3D printing additive manufacturing stress-strain relation nondestructive testing optical-radiation photoacoustic photothermal acoustic energy acoustic counts CFRP single lap joint joggled lap joints fractography classical acoustic nonlinearity constitutive behavior ultrasonic testing existing buildings seismic vulnerability assessment non-invasive experimental technics BIM models non-destructive techniques (NDT) historical buildings maintenance stone columns ultrasonic test impact test concrete impact-echo elastic wave SIBIE 3D visualization accelerometer laser doppler vibrometer remote sensing reinforced concrete four-point bending test structural health monitoring nondestructive testing techniques fiber optic sensors acoustic emission monitoring digital image correlation |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Nondestructive Testing |
Record Nr. | UNINA-9910557441403321 |
Lacidogna Giuseppe
![]() |
||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Smart Sensor Technologies for IoT |
Autore | Brida Peter |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (270 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
Internet of Things (IoT)
ReRoute Multicast Repair (M-REP) internet of things (IoT) Fast Reroute bit repair (B-REP) failure repair WSN MANET DRONET multilayered network model 5G IoT smart sensors smart sensor IoT system Velostat pressure sensor convolutional neural network data classification position detection magnetometer traffic vehicle classification measurement detection Internet of Things Bluetooth indoor tracking mobile localization optical sensors vibration sensing quality of service differentiation wireless optical networks free space optics multiwavelength laser optical code division multiple access (OCDMA) underwater wireless sensor network energy-efficient clustering depth-based routing mm-wave radars GNSS-RTK positioning wireless technology electromagnetic scanning point cloud localization IMU Wi-Fi positioning dead reckoning particle filter fingerprinting Wi-Fi sensing human activity recognition location-independent meta learning metric learning few-shot learning ACR H.264/AVC H.265/HEVC QoE subjective assessment |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557599903321 |
Brida Peter
![]() |
||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|