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.
Rapid and accurate abnormity detection of log curves is critical in the quality control for logging industry. Traditional methods based on manual detection have been proven to be ineffective and unreliable. A machine learning method based on Support Vector Machine (SVM) is proposed in this paper to address this problem. The SVM classifiers are established according to the suspicious sections selected...
The capacity of multi-channel multi-hop network can be substantially increased by equipping each node with multi-radio which allow for simultaneous transmission, but there are still much interference between those transmission links without appropriate channel assignment due to limited non-overlapping channels, so further optimization is need to carefully assign channel for radios. This paper considers...
In this paper, we proposed a novel task resource distribution algorithm based on multidimensional dynamic list scheduling and genetic algorithm. The mathematical formulation and implementation of the inner and outer module of this algorithm are proposed. The numerical example shows the better performance of our designed algorithm.
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.