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.
Breath training is an important part in the pronunciation recovery process, we simulate the fluent of air in the the upper respiratory tract, use computational fluid dynamic to build the impaired hearing children's pronunciation recovery system, and we have tasted the reliability of the system by experimental. We study the two parts in the breath process by the dynamic fluid computational method,...
Launched from the establishment of 3D tongue model in this thesis, the tongue rehabilitation training method of hearing-impaired child combined by 3D modeling technology and sensor technology is applied and the method can reveal the tongue motor process of average person when pronouncing, guide the hearing-impaired child to do tongue pronunciation training, overcome the problem of non-visibility of...
Mining the frequent sub-patterns from tree dataset is a hot research topic, and a lot of research work has done on the frequent item field. Mining frequent item sets is a key step in many data mining problems, such as association rule mining, sequential pattern mining, classification, and so on. This paper proposed a data model named TTDOM to record the history changing process. TTDOM utilize two...
The kNN join (k nearest neighbor join) is a primitive operation widely adopted by many data mining applications. From a dataset S, it can find k nearest neighbors for every object in another dataset R. It is a combination of the k nearest neighbor query and the join operation. In this paper we perform kNN join in MapReduce. For kNN joins, the block nested loop methodology is the direct method. It...
The marching cubes (MC) algorithm is a typical representative for surface reconstruction method. However, there are still some shortcomings about the topology structure and the represent accuracy of the isosurfaces which are extracted by the MC algorithm. For the high execution efficiency, the improved MC algorithm is proposed and implemented in the visualization tool kit (VTK) according to the isosurfaces...
In the massive text dataset, the near duplicate detection issue is widely existed in the real world. In this paper, The vector based algorithm is proposed to detect near duplicate in MapReduce. Given a text set and a similarity threshold, the algorithm can effectively return the similarity pairs whose similarity degree is no less than the threshold. Experimental results on the real datasets show that...
Image registration is an important step of image fusion. In this paper we study the mathematic model of the image registration and the theory of wavelet transform. The image registration method based on the wavelet theory is put forward. An image is transformed into several levels using wavelet. According to biggest mutual information, the registration parameters of the approximate components in every...
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.