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.
Energy consumption problem in mobile personal communications recently becomes popular. Generally, the design and construction of mobile networks are appropriate for peak data traffic, so at leisure time and regions, base station resources will be wasted. Previous researches always tried to reduce the energy consumption of base stations, which takes up about 60% of the total consumption in WCDMA networks...
This paper mainly focuses on the construction of the collaborative virtual geographic environment (CVGE) system, which supports the cooperative risk assessment and impact analysis of dam-break in Barrier Lake. The risk assessment flowchart of dam-break in Barrier Lake was firstly designed. Then the CVGE system framework was proposed. Meantime some key technologies including the distributed scene modeling,...
Driver car-following control is a quite common activity in driving. Modeling driver car-following in a cognitive architecture can contribute to driving-related human factors research. Queuing network-model human processor (QN-MHP) is a computational cognitive architecture developed to represent human information processing as a queuing network on the basis of neuroscience and psychological findings...
We describe a new environment for the exploration of turbulent flows that uses a cluster of databases to store complete histories of Direct Numerical Simulation (DNS) results. This allows for spatial and temporal exploration of high-resolution data that were traditionally too large to store and too computationally expensive to produce on demand. We perform analysis of these data directly on the databases...
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.