The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Accurate online health prognostics is considered as a significant part of the condition-based maintenance (CBM), and it contributes to reduce downtime and achieve the most reliable running condition for machinery equipment. In this paper, an online machine health prognostics approach is proposed based on the modified duration-dependent hidden semi-Markov model (MDD-HSMM) and the high-order particle...
This paper proposes an image encryption algorithm based on a progression, which scrambles the pixel and changes the value of the pixel using the progression. The experiments illustrate the new algorithm can adapt almost all the images and it is more secure.
This paper presents a new image segmentation approach by suing automatic threshold selection. This approach divides the image into 2 class. The best threshold is got when the separation between the interclass variance and the variance between clasters is the maximal. Experimental results show this new approach can segment images automatically and quickly.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.