scholarly journals Disturbance pattern recognition based on an ALSTM in a long‐distance φ‐OTDR sensing system

2019 ◽  
Vol 62 (1) ◽  
pp. 168-175 ◽  
Author(s):  
Xue Chen ◽  
Chengjin Xu
Keyword(s):  
Pattern Recognition ◽  
Long Distance ◽  
Sensing System ◽  
Disturbance Pattern

scholarly journals ZnO-Nanorod processed PC-SETas the light-harvestingmodel for plasmontronic fluorescence Sensor

2020 ◽  
Author(s):  
Akhilesh Kumar Gupta ◽  
Chih-Hsien Hsu ◽  
Agnes Purwidyantri ◽  
Briliant Adhi Prabowo ◽  
Kuo-Ping Chiu ◽  
...  
Keyword(s):  
Energy Transfer ◽  
Surface Energy ◽  
Long Distance ◽  
Sensing System ◽  
Surface Energy Transfer ◽  
System P ◽  
Donor And Acceptor ◽  
Quenching Efficiency ◽  
Distance Dependence ◽  
Dependent Model

This paper reports the combined plasmon coupled - surface energy transfer (PC-SET) and a distance-dependent model constructed by gold nanoparticles (GNPs) over zinc oxide nanorod (ZnO-NR) as a robust and tunable plasmontronic fluorescence regime for the detection of rhodamine 6 G (R6 G). Further, the deposition of metal created extraordinary contact through ZnO-NR utilizing a rapid thermal process (RTP) allowing the interaction of plasmon-coupled nature and surface energy transfer from the donor (R6 G) to the acceptor (ZnO). The percentage of energy transfer efficiency continuously decreased with the increment of GNPs size, shown by 72.93, 67.52 and 47.86%, corresponding to the increase of the distance between the donor and acceptor of 63.03, 67.25, and 82.49 Å, respectively. In other words, the efficiency of PC-SET complied the 1/d4 distance dependence model between donor and acceptor molecules with the detection of long-distance ranges from 46.95 – 120 Å. These findings suggest that PC-SET process has a more realistic agreement with experimental outcomes and highly supports quenching efficiency impacts related to the size of GNPs, in which the smaller size of NPs causes’ greater effectiveness towards challenges in light harvest enhanced sensing system.

Microfluidic Sensing System with a Multichannel Surface Plasmon Resonance Chip: Damage-Free Characterization of Cells by Pattern Recognition

2020 ◽  
Vol 92 (22) ◽  
pp. 14939-14946
Author(s):  
Hiroka Sugai ◽  
Shunsuke Tomita ◽  
Sayaka Ishihara ◽  
Kyoko Yoshioka ◽  
Ryoji Kurita
Keyword(s):  
Pattern Recognition ◽  
Surface Plasmon Resonance ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Sensing System
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