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    Item type:Publication,
    Fluorochemical concentration and distribution analysis using portable XRF instrument in carpet industry
    (2013-01-01) ;
    Michaels, Thomas E.
    ;
    Rudat, Martin A.
    This article introduces the use of a portable X-ray fluorescence (XRF) instrument as a non-destructive tool to rapidly determine fluorochemical concentration on carpet fibers. Most portable XRF instruments are not capable of detecting the primary element in fluorochemicals, fluorine (F) directly. However, fluorochemicals may be combined with chemical taggants, which are measurable. When properly calibrated, the taggant concentrations are a proxy for the F level on carpet fibers, which in turn represents fluorochemical concentration. Results in this research showed that an accuracy of 150±50ppm of F can be achieved using a portable XRF instrument. This level and accuracy range is specified by manufacturers as an acceptable fluorochemical concentration on carpet fibers. Therefore, a portable XRF instrument can be used in place of the certified chemical burn test, thereby reducing the response time to obtain test results from hours for the chemical burn test to less than 5min when using the portable XRF technology. This online measurement system for fluorochemical concentration can also be used as a practical means of determining fluorochemical distribution profiles across carpet samples. © 2013 John Wiley & Sons, Ltd.
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    Item type:Publication,
    Character classification framework based on support vector machine and k-nearest neighbour schemes
    (2016-02-01)
    Siriteerakul, Teera
    ;
    Boonjing, Veera
    ;
    The problem of Thai character classification can be difficult because of the large number of characters and the similarity in the shape of many characters. While previous work combined different fonts to build their classifier, this paper proposes a framework based on support vector machine (SVM) and k-NN schemes to exploit characteristics of each font separately. In this framework, each font is used to train an SVM separately. With the trained SVMs, a vector of predicted values can be produced for any input image. Then a class label of the input image can be found by a k-NN based scheme. The proposed framework performs well with familiar fonts while providing an acceptable performance on unfamiliar fonts.
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    Item type:Publication,
    Extension of Linear Operating Range for Linear Variable Differential Transformer Using Its Inverse Transfer Characteristic
    An analog circuit technique to realize an inverse transfer characteristic of a linear variable differential transformer (LVDT) is presented in this paper. Practically, the structure of the LVDT causes a narrow linear operating range compared with its full stroke range. However, a large linear operating range requires a huge structure for the LVDT, making it unsuitable for a small or compact measurement system. The proposed technique can be used in a commercial LVDT to extend the linear operating range to its full stroke range. The technique utilizes an inherent behavior of an operational transconductance amplifier (OTA) to emulate the LVDT transfer characteristic. The LVDT transfer characteristic generated by the OTA is used as a feedback path of the inverting amplifier formed by an operational amplifier (opamp) to realize the inverse transfer characteristic. The residual error due to the OTA behavior is very small and can be neglected without adversely affecting the performance of the proposed technique. All devices used in the proposed scheme are commercially available. The attractive features of the proposed technique are its simple configuration, small size, low cost, and high accuracy. The performance of the proposed technique is discussed in detail and confirmed by its experimental implementation. Measurement results demonstrate that the linear operating range of the commercial LVDT used in this study can be extended by a factor of more than 2.4, and a fullscale percentage error of about 0.068% was obtained.