The Experts below are selected from a list of 70173 Experts worldwide ranked by ideXlab platform

Hezhou Wang - One of the best experts on this subject based on the ideXlab platform.

  • asymmetric fabry perot interferometric cavity for fiber optical sensors
    Chinese Optics Letters, 2006
    Co-Authors: Shaoji Jiang, Xi Zhu, Youcheng Liang, Hezhou Wang
    Abstract:

    Good linearity and wide dynamic range are the advantages of asymmetric Fabry-Perot (F-P) interferometric cavity, whose realization has been long for. Based on optical thin film Characteristic Matrix theory, an asymmetric F-P interferometric cavity with good linearity and wide dynamic range is designed. And by choosing the material of two different thin metallic layers, the asymmetric F-P interferometric cavity is successfully fabricated. The design theory and method of this asymmetric F-P interferometric cavity have been described in detailed. In this paper an asymmetric F-P interferometric cavity used in fiber optical sensor is reported.

  • a new asymmetric fabry perot interferometric cavity for fiber optical sensors
    Optical Instruments, 2005
    Co-Authors: Shaoji Jiang, Xi Zhu, Hezhou Wang
    Abstract:

    A novel asymmetric Fabry-Perot(F-P) interferometric cavity applied to fiber optical sensors is designed in this paper.Its structure consists of two coated fiber fixed in a capillary glass tube.The cavity improves the reflective response of common F-P cavity,so it can enhance the sensitivity and the dynamic range of the sensor.The response of the reflectance of this structure has been calculated and analyzed with optical thin film Characteristic Matrix theory,the optimal parameters of the F-P interferometric structure have been obtained.The result indicates that this miniature structure possesses a high degree of linearity,sensitivity and dynamic range.

Fan Min - One of the best experts on this subject based on the ideXlab platform.

  • Characteristic Matrix of covering and its application to Boolean Matrix decomposition
    Information Sciences, 2014
    Co-Authors: Shiping Wang, William Zhu, Qingxin Zhu, Fan Min
    Abstract:

    Covering-based rough sets provide an efficient means of dealing with covering data, which occur widely in practical applications. Boolean Matrix decomposition has frequently been applied to data mining and machine learning. In this paper, three types of existing covering approximation operators are represented by Boolean matrices, and then used in Boolean Matrix decomposition. First, we define two Characteristic matrices of a covering. Through these Boolean Characteristic matrices, three types of existing covering approximation operator are concisely and equivalently represented. Second, these operator representations are applied to Boolean Matrix decomposition, which has a close relationship with nonnegative Matrix factorization, a popular and efficient technique for machine learning. We provide a sufficient and necessary condition for a square Boolean Matrix to decompose into the Boolean product of another Matrix and its transpose. We then develop an algorithm for this Boolean Matrix decomposition. Finally, these three covering approximation operators are axiomatized using Boolean matrices. This work presents an interesting viewpoint from which to investigate covering-based rough set theory and its applications.

Kentaro Nakamura - One of the best experts on this subject based on the ideXlab platform.

  • refractive index sensor for liquids and solids using dielectric multilayer films deposited on optical fiber end surface
    IEEE Photonics Technology Letters, 2011
    Co-Authors: Yosuke Mizuno, M Nakano, S Onoda, Kentaro Nakamura
    Abstract:

    We propose and demonstrate a novel fiber-optic refractive index (RI) sensor using dielectric multilayer thin films (DMFs) deposited on an optical fiber end surface, which rejects the incident light with particular wavelength. We experimentally show that the center frequency of the reflected light spectrum changes in proportion to the RI of six kinds of liquids attached to the fiber end. Its coefficient of + 0.61 nm/RIU (refractive index unit) agrees well with our simulation results based on Characteristic-Matrix technique. We also show that this sensor is applicable to the RI measurement of solids.

Shaoji Jiang - One of the best experts on this subject based on the ideXlab platform.

  • asymmetric fabry perot interferometric cavity for fiber optical sensors
    Chinese Optics Letters, 2006
    Co-Authors: Shaoji Jiang, Xi Zhu, Youcheng Liang, Hezhou Wang
    Abstract:

    Good linearity and wide dynamic range are the advantages of asymmetric Fabry-Perot (F-P) interferometric cavity, whose realization has been long for. Based on optical thin film Characteristic Matrix theory, an asymmetric F-P interferometric cavity with good linearity and wide dynamic range is designed. And by choosing the material of two different thin metallic layers, the asymmetric F-P interferometric cavity is successfully fabricated. The design theory and method of this asymmetric F-P interferometric cavity have been described in detailed. In this paper an asymmetric F-P interferometric cavity used in fiber optical sensor is reported.

  • a new asymmetric fabry perot interferometric cavity for fiber optical sensors
    Optical Instruments, 2005
    Co-Authors: Shaoji Jiang, Xi Zhu, Hezhou Wang
    Abstract:

    A novel asymmetric Fabry-Perot(F-P) interferometric cavity applied to fiber optical sensors is designed in this paper.Its structure consists of two coated fiber fixed in a capillary glass tube.The cavity improves the reflective response of common F-P cavity,so it can enhance the sensitivity and the dynamic range of the sensor.The response of the reflectance of this structure has been calculated and analyzed with optical thin film Characteristic Matrix theory,the optimal parameters of the F-P interferometric structure have been obtained.The result indicates that this miniature structure possesses a high degree of linearity,sensitivity and dynamic range.

Harith Ahmad - One of the best experts on this subject based on the ideXlab platform.

  • cladless few mode fiber grating sensor for simultaneous refractive index and temperature measurement
    Sensors and Actuators A-physical, 2015
    Co-Authors: Hangzhou Yang, Muhammad Mahmood Ali, Md Rajibul Islam, Koksing Lim, Dinusha Serandi Gunawardena, Harith Ahmad
    Abstract:

    Abstract In this work, we have demonstrated a cladless few-mode fiber grating sensor for simultaneous measurement of refractive index (RI) and temperature. The proposed sensor is fabricated from an etched few-mode Fiber Bragg Grating (FMFBG) that can support two Bragg wavelengths, in which the sensitivities for each Bragg wavelength to the changes of RI and temperature are different. A mode coupling theory is used to describe the sensing principle of the proposed sensor and the simulation result finding that an etched diameter of 14.1 μm can get the better performance for optimal the power confinement of etched FMFBG. Experimental results show that the proposed sensor has the RI sensitivities for both λ 01 and λ 11 are estimated to be 1.183 nm/RIU and 4.816 nm/RIU respectively, and temperature sensitivities for λ 01 and λ 11 are 9.62 ± 0.08 pm/°C and 9.52 ± 0.13 pm/°C respectively. With the assistance of 3 × 3 Characteristic Matrix, discrimination measurements of temperature and RI has been demonstrated and the deviations in RI and temperature measurements are ±8 × 10 −4  RIU and ±1 °C respectively.