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.
This paper demonstrates a stress function based approach for predicting the static stresses in piezoelectric composite laminates under piezoelectric excitation. The stress function based approach is quite different from the traditional plate and shell theories that adopt the displacement functions as initial assumptions, where the stress boundary conditions are prescribed at the surfaces and applied...
Graph construction, which is at the heart of graph-based semisupervised learning (SSL), is investigated by using manifold learning (ML) approaches. Since each ML method can be demonstrated to correspond to a specific graph, we build the relation between ML and SSL via the graph, where ML methods are employed for graph construction. Moreover, sparsity is important for the efficiency of SSL algorithms,...
This paper considers the conventional eigenvalue decomposition (EVD) based and widely linear (WL) channel estimations to alleviate inherent pilot contamination problems in multi-cell multi-user massive multiple-input multiple-output (MU-Massive-MIMO) systems. Both channel estimation schemes utilize the asymptotic orthogonality between the propagation vectors of different users which would be true...
In this paper, a new direction of arrival (DOA) estimation method is proposed for uniform linear array when both uncorrelated and coherent sources are present. After the first eigen decomposition of the received data covariance matrix, the eigenvector corresponding to the maximum eigenvalue is used to construct a new matrix, by the second eigen decomposition of which, the DOAs of the uncorrelated...
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.