Fatema Tuz Zohra

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Smartphone applications are getting more multi-farious and demanding of increased energy and computing resources. Mobile Cloud Computing (MCC) made a novel platform which allows personal Smartphones to execute heavy computing tasks with the assistance of powerful cloudlet servers attached to numerous wireless access points (APs). Furthermore, due to users'(More)
Faces captured in a real-world scenario may suffer from large variations in shape and occlusions due to difference in illumination, variation in pose and orientation of a facial image. Automated face recognition or security reinforcement by surveillance techniques would be useless if the faces are occluded. Therefore, face occlusion detection has become(More)
The adsorption of H<sub>2</sub>O molecules on Armchair Graphene Nanoribbons (A-GNR) was theoretically studied using Non Equilibrium Green Function (NEGF) formalism to determine Device Density of States (DDOS), Electrostatic Effective Potential (EDP), Conductivity (G) and Current-Voltage (I-V) characteristics. This paper analyzed the performance of(More)
The first wave of broadcasting algorithms exploit neighbor knowledge to reduce redundant retransmissions in mobile ad hoc wireless networks (MANETs). Self-pruning is one of such broadcast algorithm that received much attention from the research community. In self-pruning, only a subset of nodes forward the message based on certain forwarding rule. Moreover,(More)
Enhancement of image spatial resolution is a widespread topic in the field of image processing and there exists various solutions with diverse approaches. But in the last few years wavelet based approaches show good results in image resolution enhancement. In this paper, we present another new wavelet based image resolution enhancement technique where(More)
Image spatial resolution enhancement using the wavelet transform is a quite classic topic in the field of image processing and there exist many algorithms, techniques and methods regarding wavelet and image resolution. Most of these approaches are based on the idea that the low resolution image is the approximation subband of a higher resolution image and(More)
Quality of facial images has a great impact on the accuracy of the automated face recognition system. The intraclass variations introduced by varied facial quality due to variation in illumination conditions may degrade the performance of a face recognition system significantly. In this paper, we proposed an adaptive discrete wavelet transform (DWT) based(More)
Self-pruning broadcasting algorithm exploits neighbor knowledge to reduce redundant retransmissions in mobile ad hoc wireless networks (MANETs). Although in self-pruning, only a subset of nodes forward the message based on certain forwarding rule, it belongs to one of the reliable broadcasting algorithm category where a broadcast message is guaranteed (at(More)
The quality of biometrie data has a strong relationship with the performance of a face recognition system. The accuracy of automated face recognition systems is greatly affected by various quality factors, such as illumination, contrast, brightness, and blur. Therefore, an effective method is needed, which can characterize the quality of the facial image by(More)