scholarly journals Correction: Tang, K., et al., A Novel Fingerprint Sensing Technology Based on Electrostatic Imaging. Sensors 2018, 18, 3050

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1725
Author(s):  
Kai Tang ◽  
Aijia Liu ◽  
Wei Wang ◽  
Pengfei Li ◽  
Xi Chen
Keyword(s):  
Sensing Technology ◽  
Electrostatic Imaging ◽  
Imaging Sensors

The authors wish to make the following corrections to this paper [...]

scholarly journals A Novel Fingerprint Sensing Technology Based on Electrostatic Imaging

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 3050 ◽  
Author(s):  
Kai Tang ◽  
Aijia Liu ◽  
Wei Wang ◽  
Pengfei Li ◽  
Xi Chen
Keyword(s):  
Digital Signal ◽  
Micro Electro Mechanical System ◽  
Fingerprint Recognition ◽  
Detection Distance ◽  
Screen Design ◽  
Prototype Test ◽  
Sensing Technology ◽  
Full Screen ◽  
Electrostatic Imaging ◽  
Imaging Sensor

In this paper, we propose a new fingerprint sensing technology based on electrostatic imaging, which can greatly improve fingerprint sensing distance. This can solve the problem of the existing capacitive fingerprint identification device being easy to damage due to limited detection distance and a protective coating that is too thin. The fingerprint recognition sensor can also be placed under a glass screen to meet the needs of the full screen design of the mobile phone. In this paper, the electric field distribution around the fingerprint is analyzed. The electrostatic imaging sensor design is carried out based on the electrostatic detection principle and MEMS (micro-electro-mechanical system) technology. The MEMS electrostatic imaging array, analog, and digital signal processing circuit structure are designed. Simulation and testing are carried out as well. According to the simulation and prototype test device test results, it is confirmed that our proposed electrostatic imaging-based fingerprint sensing technology can increase fingerprint recognition distance by 46% compared to the existing capacitive fingerprint sensing technology. A distance of more than 439 μm is reached.

Estimating loading on rebar bolts using distributed optical sensing technology

CIM Journal ◽  
2019 ◽  
Vol 10 (1) ◽  
Author(s):  
D. Beneteau ◽  
D. Milne ◽  
L. Feldman ◽  
G. Snell ◽  
A. Hyett
Keyword(s):  
Optical Sensing ◽  
Sensing Technology

Hazards Detection Using Smart Helmet Sensing Technology in the Mining Industry

2018 ◽  
Vol 2 (2) ◽  
pp. 1-2
Author(s):  
S Lavanya ◽  
◽  
A Kishore Reddy ◽  
B Sreenivasu ◽  
◽  
...  
Keyword(s):  
Mining Industry ◽  
Sensing Technology

Hyperspectral Remote Sensing Technology (HRST) program

1997 ◽  
Author(s):  
Tom Wilson ◽  
Rebecca Baugh ◽  
Ron Contillo ◽  
Tom Wilson ◽  
Rebecca Baugh ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Hyperspectral Remote Sensing ◽  
Remote Sensing Technology ◽  
Sensing Technology

Application of remote sensing technology to the relation of submarine pipelines and coastal morphology

1995 ◽  
Vol 32 (2) ◽  
pp. 77-83
Author(s):  
Y. Yüksel ◽  
D. Maktav ◽  
S. Kapdasli
Keyword(s):  
Remote Sensing ◽  
Sediment Transport ◽  
Surf Zone ◽  
Hydrodynamic Forces ◽  
Construction Site ◽  
Coastal Morphology ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Sea Bed

Submarine pipelines must be designed to resist wave and current induced hydrodynamic forces especially in and near the surf zone. They are buried as protection against forces in the surf zone, however this procedure is not always feasible particularly on a movable sea bed. For this reason the characteristics of the sediment transport on the construction site of beaches should be investigated. In this investigation, the application of the remote sensing method is introduced in order to determine and observe the coastal morphology, so that submarine pipelines may be protected against undesirable seabed movement.

scholarly journals Combined Multi-Time Series SAR Imagery and InSAR Technology for Rice Identification in Cloudy Regions

2021 ◽  
Vol 11 (15) ◽  
pp. 6923
Author(s):  
Rui Zhang ◽  
Zhanzhong Tang ◽  
Dong Luo ◽  
Hongxia Luo ◽  
Shucheng You ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Time Series ◽  
Identification Accuracy ◽  
Optical Remote Sensing ◽  
Sar Image ◽  
Single Time ◽  
Growing Period ◽  
Sensing Technology ◽  
Sar Imagery ◽  
Cloudy Region

The use of remote sensing technology to monitor farmland is currently the mainstream method for crop research. However, in cloudy and misty regions, the use of optical remote sensing image is limited. Synthetic aperture radar (SAR) technology has many advantages, including high resolution, multi-mode, and multi-polarization. Moreover, it can penetrate clouds and mists, can be used for all-weather and all-time Earth observation, and is sensitive to the shape of ground objects. Therefore, it is widely used in agricultural monitoring. In this study, the polarization backscattering coefficient on time-series SAR images during the rice-growing period was analyzed. The rice identification results and accuracy of InSAR technology were compared with those of three schemes (single-time-phase SAR, multi-time-phase SAR, and combination of multi-time-phase SAR and InSAR). Results show that VV and VH polarization coherence coefficients can well distinguish artificial buildings. In particular, VV polarization coherence coefficients can well distinguish rice from water and vegetation in August and September, whereas VH polarization coherence coefficients can well distinguish rice from water and vegetation in August and October. The rice identification accuracy of single-time series Sentinel-1 SAR image (78%) is lower than that of multi-time series SAR image combined with InSAR technology (81%). In this study, Guanghan City, a cloudy region, was used as the study site, and a good verification result was obtained.

scholarly journals Multi-Physical Tracking and Sensing Technology of Switchgear Partial Discharge Based on Edge Computing and Smart Gateway

2021 ◽  
Vol 1952 (4) ◽  
pp. 042101
Author(s):  
Zhijie Jia ◽  
Songhai Fan ◽  
Dameng He ◽  
Jiayi Wang ◽  
Hanbin Dong ◽  
...  
Keyword(s):  
Partial Discharge ◽  
Edge Computing ◽  
Sensing Technology ◽  
Smart Gateway
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