1,720,972 research outputs found
Optimal control for dynamic bandwidth allocation in communication networks: a neural approach
Neural approximations of optimal allocation policies for hybrid multiplexing
A multiplexing structure is considered, where TDM frames are used to carry both isochronous, circuit-switched, and asynchronous, packet-switched traffic. Control functions are sought, whose task is that of deciding the allocation of the frame capacity between the two traffic types. The problem is defined in the context of Markov Decision Processes, and multilayer feedforward neural networks are used to approximate the optimal control laws. A backpropagation algorithm is described, which exploits the finiteness of the system's state. The procedure is conceived in the framework of repetitive (receding horizon) control schemes. Numerical results are presented, as well as comparisons with the control laws obtained by applying a dynamic programming algorithm
On the Usage of Overlays to Provide QoS Over IEEE 802.11b/g/e Pervasive and Mobile Networks
A Glance at P2P Overlay Networks and QoS Mechanisms; Design of Overlays to Support QoS; Performance Evaluation
World Wide Emergency Telemedicine Service (WETS): a New System to Manage Healthcare Emergency Solutions
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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