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Copyright of Journal Of Sichuan University (Natural Sciences Division) / Sichuan Daxue Xuebao-Ziran Kexueban is the property of Editorial Department of Journal of Sichuan University Natural Science Edition and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Shenyang Agricultural University is the property of Journal of Shenyang Agricultural University Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Materials Science & Engineering (1673-2812) is the property of Journal of Materials Science & Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

For the problem of signal denoising, this paper proposed a time-fractional nonlinear diffusion smoothing method by combining the classical nonlinear diffusion filtering and the fractional derivative. The proposed model used the fractional order time derivative to replace the time derivative in the classical nonlinear diffusion model. Firstly, it developed the numerical algorithm for the time-fractional nonlinear diffusion filtering, and then compared the proposed method with the classical smoothing methods ( nonlinear diffusion filtering, regularization method, Savitzky-Golay method and wavelet method) . The result shows that the time-fractional diffusion filtering method has a greater improvement in signal-to-noise ratio and root mean square error. Compared with the classical smoothing method, the proposed model obviously has a more excellent performance. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Vibration Engineering is the property of Nanjing University of Aeronautics & Astronautics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Unsaturated seepage phenomenon widely exists in coal engineering.The experimental shows that there is a nonlinear relationship between mean square displacement and time,while the classic Richards equation fails to characterize.To solve this,we introduced time-fractional order into classic equation by involving two forms of hydraulic conductivity so as to get time-fractional Richards equation and numerical results were obtained.Furthermore,the effect of the parameters in the time-fractional Richards equation on the water content has been discussed in this paper and the fitting results have been applied to the experimental results from former paper.The fitting results show that the new model can fit better to the seepage process in unsaturated porous media.

Copyright of Engineering Mechanics / Gongcheng Lixue is the property of Engineering Mechanics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Applied Mathematics & Mechanics (1000-0887) is the property of Applied Mathematics & Mechanics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)