Multimedia applications require certain QoS guarantees to be met in order to function properly. QoS requirements for multimedia transmission include bandwidth guarantees and temporal guarantees (delay and jitter). Existing routing protocols on MANeTs are not adequate enough to deal with these necessities imposed by multimedia traffic. In this article, an adaptation of MPLS is proposed for MANeTs. MPLS and MLDP together are employed in MANeTs to provide QoS and traffic engineering for real time multimedia traffic. These protocols are implemented and tested in the OMNeT++ network simulator. This article describes in detail the design and implementation of MPLS and MLDP.
We report on methods for using object shape and structure for matching a pair of images or an image and a drawing. These methods can be used in combination with the several methods using color and texture already in use in content based image retrieval (CBIR). Matching methods are based on edges, corners, and ribbons and the relations among them and can be controlled for rotation, translation, and scale invariance. Good results are shown on a small but diverse sample of images with man-made structure. Although we have been oriented toward CBIR because image parts are put into correspondence, the methods are also of general use in object tracking, recognition, registration, structural stereo, or perhaps even detection of shot boundaries in video.
Data warehousing is gaining importance day by day in enterprises, as it helps them to improve their business intelligence. The process of creating a data warehouse needs to be automated so that the transactional sources are generated in least time, with maximum accuracy and with minimum dependability on users. The technique presented in this paper automates the process of converting database logical model into data warehouse logical model to generate semi-star schema by using artificial neural networks. More precisely, the step of differentiating dynamic behavior dimensions from static behavior dimensions has been automated by using feedforward backpropagation neural networks. This network ascertains dimensions which are sensitive to changes. The network is trained for all the possible values of inputs & outputs and has been tested for actual results.
Multimedia applications require certain QoS guarantees in order to function properly. This is especially true when these applications need to run on MANeTs (Mobile Ad Hoc Networks). The movement of mobile nodes in MANeTs is not controlled rather it is random and unpredictable. Due to this dynamic topology multimedia applications cannot rely solely on traditional routing protocols to provide services for their correct working. In this paper an already existing QoS provisioning technology for wired networks.
MPLS (Multiprotocol Label Switching) has beenadapted to suit this dynamic nature of MANeTs. The framework also includes a QoS signaling protocol and flexible resource allocation and adaptation mechanisms. In order to prove its efficiency the system is implemented and simulated using the OMNeT++ network simulator.
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