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.
With the pace of construction of electrical grid, more districts are likely to be influenced by galloping of overhead transmission lines in winter. The galloping of overhead transmission lines may cause mechanical damages to metal fittings, insulators and transmission line towers. So it's of great significance to monitor the state and movement of overhead transmission lines. In transmission line galloping...
Considering that incremental localization is influenced by the heteroscedasticity problem caused by cumulative errors and the collinearity problem among nodes, this paper has proposed an incremental localization algorithm with consideration to cumulative error and collinearity problem. Using iteratively reweighted method, the algorithm reduces the influences of error accumulation and avoids collinearity...
Secret Vector which has characteristics of smart bulk, high-capacity and portable depends on human management mainly. In case of lacking identity authentication, the vector - with weak self-protect capability - will be liable to go out of control. Thereby, the current secret vector can hardly satisfy the need of monitoring vector in all aspects. Based on analysis of the characteristics of wireless...
The clustering algorithms for wireless sensor networks might differ depending on the application and network architecture. Not all clustering algorithms are suitable for wireless indoor monitoring system. In this article, we summarize the features of wireless indoor monitoring system, analyze the clustering algorithms for wireless sensor networks, and provide a clustering algorithm based on K-means...
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.