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.
Auctions have been adopted by many major cloud providers, such as Amazon EC2. Unfortunately, only simple auctions have been implemented. Such simple auction has serious limitations, such as being unable to accept elastic user demands and having to allocate different types of VMs independently. These limitations create a big gap between the real needs of cloud users and the available services of cloud...
As a key parameter of agile satellite TDICCD camera, the integral time calculation accuracy affects the satellite imaging quality directly. The traditional integral time calculation model is unable to satisfy the accuracy requirement for attitude changes flexibility and integral time changes severely during the satellite imaging. This paper describes an integral time calculation model that improved...
When designing and operating an order fulfillment system for an on-line retailer, many factors must be taken into account. In this paper, we study a multi-echlon on-line fulfillment system with different response lead time demands. We present a delayed allocation system, which is called the primary warehouse system (PWS). In this system, inventories to satisfy different response lead time demands...
Social media is rapidly changing the nature and speed of healthcare interaction. As more and more people go online to search for their health-related issues, providing them with appropriate information would save them from being overwhelmed by mountains of information. For this purpose, in this paper we propose a personalized healthcare recommending system to recommend highly relevant and trustworthy...
Based on additional nodal power injection method, this paper presents nodal power injection model of UPFC for three phase power flow calculation. Based on this model, use decoupling-compensation theory to calculate three phases power flow. Finally, the rationality and effectiveness of three phase load flow with UPFC is verified by the simulation. And the results reflect the effect of UPFC for improving...
After the studying of the key technologies about web mining technology and modeling user profile, the paper did hard in two aspects: clustering based on content, creating the user interest model. The personalized user model was proposed, which oriented single user, combined the user's manual modeling and system automatic modeling; the Web page personalized recommendation and update algorithm of the...
An approach on modeling traversing features in concurrent software system was presented, which is based on aspect-oriented techniques and statecharts of unified modeling language (UML). Modeled with UML statecharts diagrams, the primary system functions and corresponding traversal features are enveloped into various orthogonal regions of a composite state respectively. The mutual relationships between...
An improved codebook model is presented to efficiently segment foreground from dynamic scenes in the paper. The model divides video frames into blocks and takes into account the spatial relations between pixels and the adjacent pixels in the blocks rather than seen the pixels independent. It uses the block means instead of pixel wises to construct codebooks. After comparison the brightness distortion...
Logistics forecasting is useful to optimize the allocation of resources. Radial basis function(RBF) neural network has strong ability in nonlinear forecasting and high training speed. However, in the radial basis function neural network, the three parameters: the output weights, the centers of radial basis function hidden units and widths of radial basis function hidden units need to be optimized...
A new hybrid particle swarm optimization (HPSO) algorithm which is based on particle swarm optimization algorithm and simulated annealing algorithm is proposed in this paper for solving multiple capacitated vehicle routing problem. The basic scheme consists in Particle swarm optimization with time-varying parameters and simulated annealing with memory and tempering features. Results from the computational...
Along with the development of e-commerce, the problem of credibility for on-line transaction and exact selection of network resources has become more important. That is because of the anonymity and openness of on-line transactions and the richness of network resources. For this reason, A Trust Domain-Based Resource Selection Model for Multi-Agent (DRSM) is presented. The model divides the network...
Applying image processing technologies to pedestrian detection has been a hot research topic in intelligent transportation systems (ITS). However, the existing video-based algorithms to extract background image may suffer their inefficiency in detecting slow or static pedestrians. To fill the gap, an improved Gaussian mixture model (GMM) for pedestrian detection is proposed in this paper. Three novel...
Large blackouts are typically caused by cascading failure propagating through a power system by means of a variety of processes. Because of the wide range of time scales, multiple interacting processes, and the huge number of possible interactions, the simulation and analysis of cascading blackouts is extremely complicated. This paper defines cascading failure for blackouts and gives an initial review...
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.