Ultrasensitive and Wearable Carbon Hybrid Fiber Devices as Robust Intelligent Sensors

2021 ◽  
Author(s):  
Yunfeng Hu ◽  
Tieqi Huang ◽  
Hongjian Zhang ◽  
Huijuan Lin ◽  
Yao Zhang ◽  
...  
Keyword(s):  
Hybrid Fiber ◽  
Intelligent Sensors ◽  
Fiber Devices

Fracture processes of hybrid fiber-reinforced mortar

10.1617/13874 ◽  
2003 ◽  
Vol 36 (257) ◽  
pp. 197-208 ◽  
Author(s):  
J. S. Lawler
Keyword(s):  
Fiber Reinforced ◽  
Hybrid Fiber ◽  
Fracture Processes

Residential data services via hybrid fiber-coax local access networks

1996 ◽  
Vol 1 (1) ◽  
pp. 88-99
Author(s):  
Stephen A. Grzelak ◽  
Harrison Miles ◽  
Edward S. Szurkowski ◽  
William P. Weber
Keyword(s):  
Access Networks ◽  
Hybrid Fiber ◽  
Data Services ◽  
Local Access ◽  
Local Access Networks

Remote monitoring system for solar power panels using intelligent sensors network

2016 ◽  
Author(s):  
Ali Al-Dahoud ◽  
Mohamed Fezari ◽  
FatmaZohra Belhouchet ◽  
Thamer A. Al-Rawashdeh
Keyword(s):  
Monitoring System ◽  
Remote Monitoring ◽  
Solar Power ◽  
Remote Monitoring System ◽  
Intelligent Sensors

Research on Static Load Tests of Damaged Bridge Strengthened with Pre-Stressed HFRP

2014 ◽  
Vol 1079-1080 ◽  
pp. 258-265
Author(s):  
Chen Ning Cai ◽  
Shan He ◽  
Li Na Liu ◽  
Shi Kun Ou
Keyword(s):  
Static Load ◽  
Flexural Rigidity ◽  
Fiber Reinforced Polymer ◽  
Test Results ◽  
Structural Members ◽  
Fiber Reinforced ◽  
Hybrid Fiber ◽  
Reinforced Polymer ◽  
Glass Fiber Reinforced ◽  
Load Tests

Thispaper presents an experimental study to strengthen an existing bridge usingpre-stressed carbon fiber reinforced polymer (CFRP) and glass fiber reinforced polymer(GFRP) materials. The method using pre-stressed hybrid fiber reinforced polymer(HFRP) to strengthened structural members is an emerging pre-stressed strengtheningtechnology. In this study, experimental data selected from result of staticloading test conducted to hollow slabs with CFRP/GFRP has been compared with specimenswithout strengthening. Test results showed that the strengthening methoddeveloped in this study could effectively reduce the stress in hollow slab,improving the flexural rigidity and inhibiting the concrete from fracture.

scholarly journals Image-Based Automatic Watermeter Reading under Challenging Environments

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 434
Author(s):  
Qingqi Hong ◽  
Yiwei Ding ◽  
Jinpeng Lin ◽  
Meihong Wang ◽  
Qingyang Wei ◽  
...  
Keyword(s):  
Smart Cities ◽  
Rapid Development ◽  
Mobile Network ◽  
Spatial Layout ◽  
Single Image ◽  
Automatic Instrument ◽  
Intelligent Sensors ◽  
Fifth Generation ◽  
Instrument Reading ◽  
Network Technologies

With the rapid development of artificial intelligence and fifth-generation mobile network technologies, automatic instrument reading has become an increasingly important topic for intelligent sensors in smart cities. We propose a full pipeline to automatically read watermeters based on a single image, using deep learning methods to provide new technical support for an intelligent water meter reading. To handle the various challenging environments where watermeters reside, our pipeline disentangled the task into individual subtasks based on the structures of typical watermeters. These subtasks include component localization, orientation alignment, spatial layout guidance reading, and regression-based pointer reading. The devised algorithms for orientation alignment and spatial layout guidance are tailored to improve the robustness of our neural network. We also collect images of watermeters in real scenes and build a dataset for training and evaluation. Experimental results demonstrate the effectiveness of the proposed method even under challenging environments with varying lighting, occlusions, and different orientations. Thanks to the lightweight algorithms adopted in our pipeline, the system can be easily deployed and fully automated.

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