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.
Sleep Scheduling is one of the most important challenges for energy conservation in Wireless Sensor Networks (WSNs). Connected Dominating Set (CDS) based virtual backbone is often employed in WSNs. Compared with the ordinary CDS, the R-hop Connected Dominating Set (R-CDS) with smaller size is more suitable for build a virtual backbone for energy conservation. In this paper, a R-hop connected dominating...
Cluster-sparse channels often exist in frequency-selective fading broadband communication systems. The main reason is received scattered waveform exhibits cluster structure which is caused by a few reflectors near the receiver. Conventional sparse channel estimation methods have been proposed for general sparse channel model which without considering the potential cluster-sparse structure information...
Because of the low recognition rate by affinity propagation (AP) we propose an algorithm to make face recognition based on two dimension double PCA (2DDPCA) and affinity propagation in this paper. First we use two dimension principle component analysis (2DPCA) to compress the face images in horizontal direction, then we compress the features in vertical direction using 2DPCA again. At last we use...
Clustering is an effective approach to enhance performance in large-scale wireless sensor networks. SMCA (small-world model based clustering algorithm), a new clustering algorithm for wireless sensor networks is proposed in this paper, with high clustering coefficient and fault-tolerant properties. SMCA selectively remove some links in a virtual way by the analysis of the edges' clustering coefficient...
The method of cluster analysis is usually adopted in spatial data mining research, and this paper studies the theory of the two popular methods of cluster analysis, investigates the interesting ratio of 108 features and attributes in spatial database, uses these two methods respectively to analyze the statistics data and compare the two analysis to get the close results, at last, classifies the current...
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.