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Articles by X. Sun
Total Records ( 6 ) for X. Sun
  A. Mostofizadeh , X. Sun and M. R. Kardan
  The well known edge detection methods were applied to evaluate accuracy and precision of nuclear track densitometry of polycarbonate detector. All measurements carried out in two cases of before and after improvement of track images. Considering the overlapping phenomenon -including double and triple tracks- experimental and statistical results showed that not only each particular edge detection method affects the accuracy of measurements, there is also a significant difference in accuracies of all techniques before and after image enhancement. However, no noticeable deference observed in precision of each individual edge detection method before and after image enhancement. Results of this study showed that overall, among the several routine edge detection method, Canny is the most accurate technique. Moreover, Laplacian of Gaussian and Canny techniques are more precise than other edge detection techniques in the case of this study.
  A.A. Abdulfetah , X. Sun and H. Yang
  Adaptive digital watermarking algorithm based on DWT and Human Visual System (HVS) is presented for video copyright protection. The scheme contains the preprocessing, watermark embedding and watermark extraction. To improve and enhance the security, the watermark is scrambled by Arnold transform. The proposed technique embeds the scrambled watermark by modifying coefficients of vertical and horizontal detail sub bands of wavelet sub blocks chosen with a secret key. The visual model is designed to generate a Just Noticeable Difference (JND) mask by analyzing luminance masking, texture masking and spatial entropy masking. Since, the secret key is required for both embedding and extraction of watermark, it is not possible for an unauthorized user to extract the embedded watermark. Experimental results show that the proposed scheme is efficient and has good transparency and robustness against various attacks like filtering, noise, JPEG compression, cropping and histogram equalization. When compared with some existing algorithm, it can obtain better indivisibility and robustness.
  X. Sun , K. Chen , E.P. Berg and J.D. Magolski
  This study investigates the usefulness of electronically derived and analyzed fresh beef lean color image features for predicting official Chinese beef color scores. About 160 beef longissimus thoracis (ribeye) cross-section images were collected. The twelve features of beef muscle color were extracted and one feature was calculated using stepwise multiple regression analysis. Multiple linear regression and SVM model with inputs of color features and outputs of 4-7 color scores, respectively were designed to automatically estimate the grade of beef muscle color. Multiple linear regression analysis of the coefficient of determination (R2 = 0.89) and the model accuracy which determine the beef color muscle scores is 86.8%. SVM classifier achieved the best performance percentage of 94.7% showing that the machine vision combined with SVM discrimination method can provide an effective tool for predicting color scores of beef muscle.
  W.N. Liu , X. Sun , M.A. Khaleel and J.M. Qu
 

Due to mismatch of the coefficients of thermal expansion of various layers in the positive/electrolyte/negative (PEN) structures of solid oxide fuel cells (SOFC), thermal stresses and warpage on the PEN are unavoidable due to the temperature changes from the stress-free sintering temperature to room temperature during the PEN manufacturing process. In the meantime, additional mechanical stresses will also be created by mechanical flattening during the stack assembly process. In order to ensure the structural integrity of the cell and stack of SOFC, it is necessary to develop failure criteria for SOFC PEN structures based on the initial flaws occurred during cell sintering and stack assembly. In this paper, the global relationship between the critical energy release rate and critical curvature and maximum displacement of the warped cells caused by the temperature changes as well as mechanical flattening process is established so that possible failure of SOFC PEN structures may be predicted deterministically by the measurement of the curvature and displacement of the warped cells.

  J. Milhans , S. Ahzi , H. Garmestani , M.A. Khaleel , X. Sun and B.J. Koeppel
  In this study, the effective elastic properties and coefficients of thermal expansion (CTE) of a glass-ceramic were predicted using homogenization techniques. Using G18, a glass-ceramic solid oxide fuel cell (SOFC) sealant as an initial reference material, the effectiveness of different homogenization models was investigated for a two-phase glass-ceramic. The elastic properties and CTEs of the G18 amorphous phase are currently unknown. Thus, estimated values were used as an input to the models. The predictive model offers accurate macroscopic values on both the elastic modulus and the CTE of glass-ceramic materials, providing the estimated amorphous values are reasonable. This model can be used in designing glass-ceramic SOFC seal materials for its specific operation conditions.
  X. Sun , Z. Chen , Y. Li , L. Liao and J. Tan
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