This paper describes alternative measurement and data-processing approaches that can reduce effects of experimental variables on results obtained with a membrane-based sensor for oxygen. In the new approaches, the mem...
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This paper describes alternative measurement and data-processing approaches that can reduce effects of experimental variables on results obtained with a membrane-based sensor for oxygen. In the new approaches, the membrane-based sensor is first equilibrated with the sample solution, after which a polarizing voltage is applied and current vs. time data are recorded as the response decays toward a steady-state condition. Current vs. time data are then processed by a fixed-time option and an integration option designed to determine the charge corresponding to the total amount of oxygen inside the membrane when a polarizing voltage is applied. The current measured at a fixed time and the total charge varied linearly with oxygen concentration between 0.05 and 0.26 mmol l(-1). Pooled relative standard deviations (N = 35) for the measurement/data-processing step were near 0.4% for the new pre-equilibrium options compared to a value of 0.3% for the steady-state option. Dependencies of the pre-equilibrium options on membrane thickness and stirring rate in the most sensitive regions were at least two orders of magnitude smaller than for the steady-state option.
Finite scanning plane truncation is one of the main error sources to influence the precision of planar near-field antenna measurements, especially for the measurements on beam scanning phased array antennas. With the ...
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Finite scanning plane truncation is one of the main error sources to influence the precision of planar near-field antenna measurements, especially for the measurements on beam scanning phased array antennas. With the application of the cosine window function, a novel data-processing method is presented so as to reduce the truncation errors caused by finite scanning plane in planar near-field measurements on phased array antennas. The results of computer simulation show that the truncation errors can be effectively reduced by the data- processingmethod of dealing with the near-field data by means of cosine window function, which proves the correctness and validity of the near-field dataprocessingmethod presented in this paper.
In indirectly driven inertial confinement fusion, a high-purity germanium detector is widely used in the calibration of various X-ray detectors as a quantitative spectrum detector for the irradiating X-ray. However, t...
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In indirectly driven inertial confinement fusion, a high-purity germanium detector is widely used in the calibration of various X-ray detectors as a quantitative spectrum detector for the irradiating X-ray. However, the intrinsic peak efficiency of the high-purity germanium detector, which is the foundation of its applications, has not been investigated in depth. In this work, an optimized data-processing method is developed to explore the intrinsic peak efficiency of the high-purity germanium detector, based on calibration experiments. The intrinsic peak efficiency of the detector is absolutely and accurately calibrated and simulated for X-ray energy in the range of 5.48-302.85 keV. The experimental and simulated results, which agree well, are analyzed and explained in detail. The efficiency curve obtained from the data reveals the rise, flat, and fall characters. In addition, the impact of the absorption edge, which is located at 11.10 keV, on the efficiency curve was found and explained in terms of the escape of the excited K.. lines. This work will improve the calibration efficiency of various X-ray detectors based on the high-purity germanium detector, and help in advancing the quantitative understanding of the detection results in inertial confinement fusion.
data screening applied in video quality subjective assessment is helpful to remove abnormal observers and ensure the precision and effectiveness of the results. This paper firstly introduces two main data-processing m...
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ISBN:
(纸本)9781479958351
data screening applied in video quality subjective assessment is helpful to remove abnormal observers and ensure the precision and effectiveness of the results. This paper firstly introduces two main data-processing methods, which are recommended in ITU-R BT.500 and ITU-R BT.1788 respectively, and then proposes an improved data-processing method, which is used to eliminate observers whose score trends are inconsistent with the overall trend in the first stage and then eliminate observers with too many outliers. Finally we analyze the applicability of those data-processing methods and verify the effectiveness of the improved method.
data screening used in video quality subjective assessment contribute to eliminate abnormal observers and improve the precision and effectiveness of the results. The paper firstly introduces a kind of standard and mai...
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ISBN:
(纸本)9781509007684
data screening used in video quality subjective assessment contribute to eliminate abnormal observers and improve the precision and effectiveness of the results. The paper firstly introduces a kind of standard and mainstream data-processing method, which is recommended by ITU-R BT.500. Then the paper has made the improvement to the standard method by using a method called STRESS in the field of Psychophysics and proposes an improved data-processing method which is used to choose observers whose score trends have low correlation with the overall trend and then eliminate observers whose STRESS order number is small. Finally we analyze the applicability of the two data-processing methods and verify the effectiveness of the improved
data screening applied in video quality subjective assessment is helpful to remove abnormal observers and ensure the precision and effectiveness of the results. This paper firstly introduces two main data-processing m...
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ISBN:
(纸本)9781479958368
data screening applied in video quality subjective assessment is helpful to remove abnormal observers and ensure the precision and effectiveness of the results. This paper firstly introduces two main data-processing methods, which are recommended in ITU-R BT.500 and ITU-R BT.1788 respectively, and then proposes an improved data-processing method, which is used to eliminate observers whose score trends are inconsistent with the overall trend in the first stage and then eliminate observers with too many outliers. Finally we analyze the applicability of those data-processing methods and verify the effectiveness of the improved method.
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