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Search results for: noise
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Year: 2018, Volume: 18, Number: 2
... way. For improvements of the Where: baseline classification model further processing may D i= distance, from "origin learner necessary regarding feature selection, outlier/noise reduction SPC= scaled PC value from original raw data and proper fitting of the used classification algorithms. The overall data analysis procedure makes sure that Table I ...
Year: 2016, Volume: 16, Number: 4
... variations on the detection performance. parameters that need to be optimized in this classifier are C, To select the best normalization method to be used in the a noise parameter and γ from the RBF kernel. The optimum proposed method, several experiments have been conducted values of these parameters are obtained by exhaustive search using different ...
Year: 2016, Volume: 16, Number: 4
... image coordinates to user the circular Hough Transform (CHT) algorithm. The screen coordinates is done through the calibration and performance of the algorithm is influenced by the noise mapping stages of the eye tracking subsystem. generated by the camera and infrared lighting (corneal reflection of the IR LEDs), by the natural physiological tremor ...
Year: 2019, Volume: 19, Number: 3
... et al. [40] proposed the fuzzy least Where SOC0 is the initial value, Cn is the rated capacity of square support vector machine to reduce the noise sensitive the battery, is the Coulomb coefficient, and I is the issue of common machine learning strategies; Hussein et al. charge and discharge current ...
Year: 2014, Volume: 14, Number: 2
... The proposed model also studied [3-5]. These methods applied a noisy channel successfully reduces the word error rate and semantic error model for error correction. The noise channel model has a rate by 3.65% and 8.61%, respectively. distribution accounting for the possibility that an original word can be misinterpreted as an erroneous ...
Year: 2020, Volume: 20, Number: 4
... induction motor can be simplified as equivalent density, and it is directly related to torque ripple causing circuit as shown in Fig. 2, and the secondary impedance noise and vibration. Therefore, this fault type cannot be consisted of resistance and reactance is the function of the ignored, and it should be monitored and detected ...
Year: 2014, Volume: 14, Number: 2
... 8.635x10-7 2.117x10-4 In Eq. (11), M represents the number of coefficients Filter 7 (KCK) 4.841x10-8 8.845x10-7 2.140x10-4 considered in the approximate Fourier series of noise Filter 8 (CCK) 4.903x10-8 9.109x10-7 2.232x10-4 complementary distribution function; € 2/ T f- angular poly 3.290x10-8 3.839x10-7 6.563x10-5 acos[asinh] 3.412x10-8 ...
Year: 2012, Volume: 12, Number: 3
... frequency band [75, 500] Hz with the autocorrelation method, because compared with IV. RECURRENT FUZZY K-MEANS ALGORITHM other methods is more robust, accurate and noise-resistant. The clustering algorithms divide the input sets based on The formants F1-F4 are computed using a window length their similarity. The most known are the hierarchical of ...
Year: 2021, Volume: 21, Number: 1
... In the design of electrical machines, the cogging torque Coil Pitch (deg.) 9 6 7.5 9 6 7.5 reduction is very important since it causes the noise and Number of Poles 40 40 40 40 40 40 vibration while the machine is being operated. Therefore, Outer Dia. of Stator (mm) 286 ...
Year: 2017, Volume: 17, Number: 4
... some threshold X n ›k, l € Bn ›k, l € Tn( x) (4) Tsize are discarded as false positives to eliminate noise in the image. For all remaining candidate regions, a line segment where X n ›k, l represents an intensity of a pixel in nth with ...
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