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 the opportunistic networks, nodes carry and store the data and forward it until they encounter each other. How to choose an appropriate opportunity to forward data is pivotal for nodes' routing in this type of networks. Since nodes currently will keep a regular movement state in the scene of this paper discussed, forecasting a node's moving track in the near future would be very helpful. Through...
A large number of software reliability prediction models has been developed, and they provide useful results. However, most of these models are not applicable until after system integration testing begins, which is too late for fundamental design changes. In this paper, a software reliability prediction method based on software development process is proposed. Keene's development process prediction...
In non-life intensive computation of insurance, loss amount model is mainly constructed with loss detention law or the tendency analytic method. But there are some problems in both methods, such as more restrictions on the empirical data, and they can not be used to construct the loss amount model with nonlinear data. This paper attempts to solve the problem with the Newton's interpolation method,...
Accurate grid resources prediction is crucial for a grid scheduler. In this study, support vector regression (SVR), which is an effective regression algorithm, is applied to grid resource prediction. In order to obtain better prediction performance, SVR's parameters must be selected carefully. Therefore, a particle swarm optimization-based SVR (PSO-SVR) model, in which PSO is used to determine free...
Resource constraints make it considerably difficult to implement and optimize cryptography algorithms on sensor nodes. In order to provide guidelines for design, it is necessary to predict overheads of these algorithms without final implementations and optimizations. In this paper, a mathematical model based on overheads of basic operations frequently used in cryptography algorithms is presented for...
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.