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.
For the nonlinear coupling control problem induced by the maneuver flying with high angle of attack of the hypersonic vehicle, the dynamic inversion is used to realize the decoupling of the attack angle and bank angle dynamics. For the model uncertainty, parameter perturbation and outer disturbance, the estimation and compensation of the disturbance moments is carried out by the extended state observer...
Air cushion press (ACP) is one of the significant approaches to improve the uniformity of pressure distribution. It is important to point out that the pressing method through piston compressing gas proposed in this paper is the further development of air cushion press (ACP) in nanoimprint lithography (NIL). In this novel method, a servomotor drives a piston to compress gas in the closed chamber. The...
Traditional collaborative filtering algorithms all suffer from inaccurate recommendation and bad scalability. In this paper, we propose a new collaborative filtering algorithm based on user??s interest partition. We divides user??s whole interest into pieces. Each piece of interest is called interest unit. And the similarity between users on interest unit is named local similarity. The similarity...
Collaborative filter algorithms are one of the most successful recommender technologies in the world, and have been widely adopted in E-commerce. However, these approaches always suffer from poor prediction quality problem. We analyzed the rating distribution of dataset, and dig out that most of the users are interested on several specific topics, which show the userpsilas true interest. So we propose...
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.