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.
This paper describes the application of Learning 2.0 ideas in the information systems program at BYU. Using the Drupal content management system, we developed the "island" Web site with organic groups to foster learning and discussion on a variety of student driven topics. The island site complements the formal curriculum by hosting out of class discussions, investigation into topics not...
In contrast with the other media, Internet has many advantages, for example, its transmission speed is fast, the affected range is broad, the amount of information is large, etc. However, when Internet becomes growing popularity of human social life, two problems that canpsilat be ignored appeared, which are authenticity and credibility. In view of this, we should study the characteristics of Internet...
This paper modifies an elegant data hiding method of Chang et alpsilas [Pattern Recog. Lett. 2004, vol. 25, no. 11, 1253-1261]. The embedding employs a modified search-order coding (SOC) technique to hide binary secret data in the vector quantization (VQ) index file of a host image. The recovered host image is identical to the one recovered by traditional VQ; the compression rate is competitive to...
Style-based text authorship identification extracts features from authorship-known texts, constructs classifier and then identifies disputed texts. Authorship identification belongs to the domain of style classification and is a branch of text classification. In contrast with text classification which deals with the content of texts, authorship identification focuses on the form property of texts...
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.