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In the recent past, deployment of Convolutional Neural Networks (CNN) has led to prodigious success in many pattern recognition tasks. This is mainly due to the very nature of CNN, that is its ability to work in a similar manner to that of the visual system of the human brain. One of the most exciting application of pattern recognition which is the focal point of the proposed work is face recognition...
Different applications are offered by data centres like Video gaming, VoIP, HD-video Streaming, Remote medical surgery etc. These data centres are placed in different locations and connected by the underlying network infrastructure. One data centre may offer several services or same service may be offered by several data centers. Currently data centres offer services without considering the load on...
Openflow is an "open" protocol to enable communication between a Software defined Network controller and network elements. Openflow enables the controller to create flow table entries in the switches, and also enables the analysis for underlying network topologies. The Mininet provides a simple and inexpensive network test-bed for developing Openflow applications. The default version of...
Face Recognition Technology is one of the fastest growing field in the biometric industries. Although human seem to recognize faces with relative ease, machine recognition of faces is a challenging task. In this direction the paper proposed here is an automatic face recognition technique based on curvelets and Singular Value decomposition (SVD). Curve discontinuities present in the face images are...
Classification of medical data is an important task in the prediction of any disease. It even helps doctors in their diagnosis decisions. Ensemble classifier is to generate a set of classifiers instead of one classifier for the classification of a new object, hoping that the combination of answers of multiple classification results in better performance. Tuberculosis (TB) is a disease caused by bacteria...
Multimedia Broadcast Multicast Service (MBMS) architecture enables the efficient usage of radio-network and core network by sharing the network resources. But the efficient usage of resources has not been discussed for the scenario where source and destination of the MBMS service belongs to the same Gateway General Packet Radio Service support node (GGSN) which means that one of the user equipment...
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