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.
Massive open online courses and other forms of remote education continue to increase in popularity and reach. The ability to efficiently proctor remote online examinations is an important limiting factor to the scalability of this next stage in education. Presently, human proctoring is the most common approach of evaluation, by either requiring the test taker to visit an examination center, or by...
With the rapid development of microblog, the research of topic detection has been paid more attention, which has begun to transfer from the traditional news media to microblog. However, compared with the traditional fields where topic detection applied, the microblogging data is written informally and the structure of that is not rigorous, which will bring great difficulties. In the process of topic...
This paper concentrates on the evaluation system of hot topics in the online news about the emergency events. First, the overall technology framework of the system was established and description was formulated on the key issues need to be resolved prior to the evaluation of the hot topics. Focusing on the vector representation of the news documents and clustering algorithm of the news topics, a modified...
This paper discusses the usage of document clustering methods for topic detection of emergencies. Its main contribution is to apply the named entity of event-based framework to extract the feature terms of Web documents, exploit the TF-IDF method to weight the Web document characteristics of emergencies, and finally detect the hot topics through the FCM clustering algorithm. This method can reduce...
To guide the quality evaluation application of Web services in selecting from many available Web services, a evaluation model based on artificial immune network memory classifier is proposed. Evaluation tree which supports to customize evaluation attributes dynamically is defined to reveal the relation among QoS attributes. The objective and subjective synthetic approach is designed to compute the...
Digital watermark is an effective copyright protection method. A new robust public watermarking algorithm is proposed with the base of the method of confidence evaluation and neural network data fusion. First a special addition formula is applied to later evaluate the confidence of each extracted watermarked bit in the extraction. Then a normalization is used to accord with the approximate distortion...
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.