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.
In this manuscript, a coin recognition system based on texture classification of the coin image is proposed. The proposed system consists of the training phase and the testing phase. In the training phase, the proposed system first identify the coin position in the image based on the generalized Hough transform. When the position is identified, the proposed system extract texture features of the coin...
The liquid crystal display (LCD) is widely used in various devices nowadays, for examples, mobile phones, digital cameras, and machine controllers. Among the components composing an LCD, the backlight module is one of the most important components because it provides a uniform light source for the display. In the current practice of backlight module inspection, a luminance colorimeter is used to examine...
In this paper, we propose a test-based assessment system running on top of the mobile devices. Both pad and phone devices are supported by the proposed system, though some functions on the pad are not provided on the phone due to the display size consideration. With the proposed system, students can take tests or review past tests on mobile devices, and teachers have no more the burden of marking...
In this manuscript, we propose to use the support vector regressions to inspect the backlight modules. In building the models of the support vector regressions, various combinations of parameters are examined and the accuracy are found to be similar. Experimental results show that the accuracy achieved by the proposed method is satisfactory.
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.