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.
Although unmanned aerial vehicle (UAV) shows great advantages and some new potential applications in recent years as an effective tool for investigation, fighting and defense, yet, how to give full play to its role still remains the focus of attention. To improve the fighting efficiency of UAV and expand the range of its applications, the obstacle avoidance problem of UAV during autonomous cruise...
This paper proposes a multi-point local search algorithm for solving continuous dynamic optimization problems. The proposed algorithm first identifies some good points which are far away from each other via a species technique. Then these points serve as the starting points for a local searcher. When the environment changes, best solutions found by each starting point in the previous environment are...
In this paper, the consumption structure data of urban residents are selected from 31 administrative areas (including provinces, cities and autonomous regions) in China during the period of 2001 to 2007. Then, software SPSS16.0 is adopted to make analysis of factor, clustering and discriminant. Through the comparative analysis between Inner Mongolia region and the developed eastern provinces, we find...
Brain white matter fiber tracking imaging using diffusion tensor magnetic resonance imaging (DT-MRI) traces brain white matter fiber bundle and reconstruct the structures of the fibers according to the diffusion of water molecular in the white matter. In this paper, a novel fiber tracking technique based on well established unsupervised learning algorithms was proposed. For a pair of regions of interest...
Abnormal traffic detection is important to network management. This paper aims at the characteristic of multi-hop network, and defines abnormity that traffic-burst after failure. Then the paper presents a fast auto-adaptive traffic-aware abnormal detection method. This method compresses data via efficient histogram, and detects double-size bursts via congregate function. We analyze the status of links...
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.