The Experts below are selected from a list of 309888 Experts worldwide ranked by ideXlab platform
D.n. Wang - One of the best experts on this subject based on the ideXlab platform.
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Improving the wavelength Detection Accuracy of FBG sensors using an ADALINE network
IEEE Photonics Technology Letters, 2003Co-Authors: C.c. Chan, C.z. Shi, Wei Jin, D.n. WangAbstract:We report the use of an adaptive linear network for enhancing the wavelength Detection Accuracy in fiber Bragg grating sensors. A wavelength Detection Accuracy of /spl sim/10 pm is experimentally achieved when the unwanted interferometric signals are presented.
C.c. Chan - One of the best experts on this subject based on the ideXlab platform.
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Improving the wavelength Detection Accuracy of FBG sensors using an ADALINE network
IEEE Photonics Technology Letters, 2003Co-Authors: C.c. Chan, C.z. Shi, Wei Jin, D.n. WangAbstract:We report the use of an adaptive linear network for enhancing the wavelength Detection Accuracy in fiber Bragg grating sensors. A wavelength Detection Accuracy of /spl sim/10 pm is experimentally achieved when the unwanted interferometric signals are presented.
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Enhancement of wavelength Detection Accuracy in fiber Bragg grating sensors by using a spectrum correlation technique
Optics Communications, 2002Co-Authors: J.m. Gong, C.c. Chan, Wei Jin, J.m.k. Macalpine, M. Zhang, Yanbiao LiaoAbstract:We report the use of a spectrum correlation technique for detecting Bragg wavelength shifts in fiber Bragg grating sensors. Simulation and experimental results show that the technique provides higher Detection Accuracy than the conventional peak Detection technique.
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enhancement of wavelength Detection Accuracy in fiber bragg grating sensors by using a spectrum correlation technique
Optical Fiber Sensors Conference, 2002Co-Authors: J.m. Gong, C.c. Chan, J.m.k. Macalpine, M. Zhang, Yanbiao LiaoAbstract:A digital post-processing technique based on spectrum correlation is developed and applied to determining the Bragg wavelength shift Accuracy in fiber Bragg grating (FBG) sensors. Theoretical analysis shows that the enhancement factor is proportional to the square root of the number of the independent sampling points within the 3d B bandwidth of the FBG. A wavelength Detection Accuracy of better than 1 pm in terms of standard deviation was experimentally demonstrated, representing an enhancement factor of 7.3 over the conventional peak Detection technique. This technique may also be used for applications such as white light interferometer sensors where the interferometric pattern shifts with applied measurand while the shape of the pattern remains unchanged.
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Enhancement of wavelength Detection Accuracy in fiber Bragg grating sensors by using a spectrum correlation technique
Optics Communications, 2002Co-Authors: J.m. Gong, C.c. Chan, W. Jin, J.m.k. Macalpine, M. Zhang, Y.b. LiaoAbstract:The enhancement of wavelength Detection Accuracy in fiber Bragg grating sensors was investigated by using a spectrum correlation technique. An edge filter was used to directly convert the wavelength shift to intensity variation which was further converted into an electric signal by using photo-detector. The results showed that the given technique provided higher Detection Accuracy with respect to the conventional peak Detection technique.Department of Electrical Engineerin
Nie Fei - One of the best experts on this subject based on the ideXlab platform.
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Improving the peak wavelength Detection Accuracy of Sn-doped, H2-loaded FBG high temperature sensors by wavelet filter and Gaussian curve fitting
Sensors and Actuators A: Physical, 2012Co-Authors: Xiao Yan Wen, Dongsheng Zhang, Yu Qian, Nie FeiAbstract:Abstract Fiber Bragg grating (FBG) written into Sn-doped, H 2 -loaded fiber could be used as high-temperature sensors up to 800 °C, but the peak wavelength detecting Accuracy was unsatisfactory due to the low signal-noise ratio (SNR) and spectrum distortion. In this paper wavelet filter and Gaussian curve fitting were jointly applied to improve the wavelength Detection Accuracy of this kind of novel sensor. Firstly wavelet filter was used to suppress the noise in the noise-contaminated FBG reflection spectrum. The denoising efficiency of different wavelet functions and decomposition levels were evaluated by calculating the SNR of denoised signals, and dmey wavelet with decomposition level of 9 presented the best result. Then the denoised signals were fitted to Gaussian profile and the goodness of fit was compared with those obtained without wavelet denoising. Simulation and experimental results demonstrated that the joint application of wavelet filter and Gaussian curve fitting was a promising approach to enhance the peak wavelength Detection Accuracy of FBG high temperature sensors.
Dianyuan Fan - One of the best experts on this subject based on the ideXlab platform.
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Long-Range Surface Plasmon With Graphene for Enhancing the Sensitivity and Detection Accuracy of Biosensor
IEEE Photonics Journal, 2016Co-Authors: Zhitao Ling, Leyong Jiang, Jun Guo, Xiaoyu Dai, Yuanjiang Xiang, Dianyuan FanAbstract:A novel long-range surface plasmon with graphene is proposed to enhance the sensitivity and Detection Accuracy (DA) of the biosensor. Compared with the conventional long-range surface plasmon resonance (LRSPR) structure with Au, the coating of the metal surface with graphene is employed to increase the biomolecules adsorption, prevent oxidation, and enhance the sensitivity and DA. Furthermore, we demonstrated that the sensitivity has a nearly tenfold improvement with a huge increasing DA in the proposed LRSPR biosensor compared with the SPR biosensor. Finally, we discuss the influence of the refractive index of sensing medium on the LRSPR biosensor and find that the sensitivity is changing with the refractive index of the sensing medium and that an optimal sensitivity can be obtained at a suitable refractive index. We believe that this scheme could find potential applications in chemical examination, medical diagnosis, and biological Detection.
Zhiguo Zhang - One of the best experts on this subject based on the ideXlab platform.
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Boosting the Temperature Detection Accuracy of Luminescent Ratiometric Thermometry via a Multifunction Fit Strategy
The Journal of Physical Chemistry C, 2018Co-Authors: Feng Qin, Yuan Zhou, Yangdong Zheng, Hua Zhao, Zhiguo ZhangAbstract:The influence of fit strategy on the temperature Detection Accuracy of luminescence ratiometric thermometry is investigated here. In the range of 303–783 K, the typical 2H11/2/4S3/2–4I15/2 upconversion emission lines of Er3+ embedded in calcium tungstate are investigated as a function of temperature. It is found that using the conventional one-function fit method over the whole temperature range leads to a mean error of 3.47 K. By contrast, the strategy, namely, dividing the whole board temperature range into several narrow ones and using several fit functions over separate temperature scopes, is proposed and studied. It is demonstrated that as the number of the divided temperature scopes is increased, the measured temperature readout gradually approaches to the true value of the temperature. When the number is set to be six, the temperature error sharply goes down to 0.41 K, suggesting that the newly proposed multi-function fit strategy is superior to the traditional one-function fit method, especially w...