Laser echo detection technology based on G-APDs

2019 ◽  
Author(s):  
Yiheng Song ◽  
Zhiyong Wang
Keyword(s):  
Detection Technology ◽  
Echo Detection

Study of single photon echo detection technology in underwater target ranging

2005 ◽  
Author(s):  
Xiao Lin Sui ◽  
Zheng Yu Zhang ◽  
Xiao Long Zhang ◽  
Fei Xuan ◽  
Ming Yu ◽  
...  
Keyword(s):  
Single Photon ◽  
Photon Echo ◽  
Detection Technology ◽  
Echo Detection ◽  
Target Ranging ◽  
Underwater Target

High precision multi-pulse laser ranging echo detection technology

2018 ◽  
Vol 39 (1) ◽  
pp. 130-133
Author(s):  
Gao Wei ◽  
Ma Shiwei ◽  
Duan Yuanyuan
Keyword(s):  
Pulse Laser ◽  
High Precision ◽  
Laser Ranging ◽  
Detection Technology ◽  
Echo Detection

On-line image readout in CTEM

1994 ◽  
Vol 52 ◽  
pp. 400-401
Author(s):  
K.-H. Herrmann ◽  
W. D. Rau ◽  
R. Sikeler
Keyword(s):  
Primary Electron ◽  
Digital Information ◽  
Electron Hole ◽  
Detection Technology ◽  
Long Time ◽  
On Line ◽  
Electron Image ◽  
Optical Transfer ◽  
Detection Quantum Efficiency ◽  
Technical Solutions

Quantitative recording of electron patterns and their rapid conversion into digital information is an outstanding goal which the photoplate fails to solve satisfactorily. For a long time, LLL-TV cameras have been used for EM adjustment but due to their inferior pixel number they were never a real alternative to the photoplate. This situation has changed with the availability of scientific grade slow-scan charged coupled devices (CCD) with pixel numbers exceeding 106, photometric accuracy and, by Peltier cooling, both excellent storage and noise figures previously inaccessible in image detection technology. Again the electron image is converted into a photon image fed to the CCD by some light optical transfer link. Subsequently, some technical solutions are discussed using the detection quantum efficiency (DQE), resolution, pixel number and exposure range as figures of merit.A key quantity is the number of electron-hole pairs released in the CCD sensor by a single primary electron (PE) which can be estimated from the energy deposit ΔE in the scintillator,

Assessment of different ti-rads systems using computer-aided detection technology

2019 ◽  
Author(s):  
Kuen-Yuan Chen ◽  
Ming-Hsun Wu ◽  
Chiung-Nien Chen ◽  
Argon Chen
Keyword(s):  
Computer Aided Detection ◽  
Detection Technology ◽  
Computer Aided

Study on Defect Detection Technology for Bridge Deck Pavements

2017 ◽  
Vol 19 (6) ◽  
pp. 38
Author(s):  
Chengchao Guo ◽  
Pengfei Xu ◽  
Can Cui
Keyword(s):  
Defect Detection ◽  
Bridge Deck ◽  
Detection Technology

New Defect Detection Technology for Tissue Industry

2014 ◽  
Vol 68 (3) ◽  
pp. 311-313
Author(s):  
Jason Zyglis ◽  
Wayne Killmer ◽  
Atsushi Kurosaki
Keyword(s):  
Defect Detection ◽  
Detection Technology

An Effective Congestion Control Algorithm based on Traffic Assignment and Reassignment in Wireless Sensor Network

2020 ◽  
Vol 13 (8) ◽  
pp. 1166-1174
Author(s):  
Chao Wang
Keyword(s):  
Wireless Sensor Network ◽  
Congestion Control ◽  
Sensor Network ◽  
Traffic Assignment ◽  
Transmission Rate ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Congestion Detection ◽  
Detection Technology ◽  
Average Transmission

Background: It is important to improve the quality of service by using congestion detection technology to find the potential congestion as early as possible in wireless sensor network. Methods: So an improved congestion control scheme based on traffic assignment and reassignment algorithm is proposed for congestion avoidance, detection and mitigation. The congestion area of the network is detected by predicting and setting threshold. When the congestion occurs, sensor nodes can be recovery quickly from congestion by adopting reasonable method of traffic reassignment. And the method can ensure the data in the congestion areas can be transferred to noncongestion areas as soon as possible. Results: The simulation results indicate that the proposed scheme can reduce the number of loss packets, improve the throughput, stabilize the average transmission rate of source node and reduce the end-to-end delay. Conclusion: : So the proposed scheme can enhance the overall performance of the network. Keywords: wireless sensor network; congestion control; congestion detection; congestion mitigation; traffic assignment; traffic reassignment.

Research Situation Analysis of On-line Detection Technology for Power Transformer Winding Deformation

2020 ◽  
Vol 13 (6) ◽  
pp. 823-832
Author(s):  
Zhenhua Li ◽  
Weihui Jiang ◽  
Li Qiu ◽  
Zhenxing Li ◽  
Yanchun Xu
Keyword(s):  
Detection Method ◽  
Theoretical Research ◽  
Line Detection ◽  
Response Analysis ◽  
Advantages And Disadvantages ◽  
Detection Technology ◽  
The Future ◽  
Transformer Winding ◽  
On Line ◽  
Winding Deformation

Background: Winding deformation is one of the most common faults in power transformers, which seriously threatens the safe operation of transformers. In order to discover the hidden trouble of transformer in time, it is of great significance to actively carry out the research of transformer winding deformation detection technology. Methods: In this paper, several methods of winding deformation detection with on-line detection prospects are summarized. The principles and characteristics of each method are analyzed, and the advantages and disadvantages of each method as well as the future research directions are expounded. Finally, aiming at the existing problems, the development direction of detection method for winding deformation in the future is prospected. Results: The on-line frequency response analysis method is still immature, and the vibration detection method is still in the theoretical research stage. Conclusion: The ΔV − I1 locus method provides a new direction for on-line detection of transformer winding deformation faults, which has certain application prospects and practical engineering value.

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