Bank Transaction Process Abstract?Bank Transaction Process. In a rapidly evolving world financial transactions opportunities have become inseparably linked with advanced Information Technology. This paper presents the integration of a NFC (Near Field Communication) enabled mobile wallet with a NFC enabled payment card as a next generation smart transaction. The objective of the research is…
Banking Account Social Awareness Application In Android Abstract– Many android applications are online backing process based on their particular banks. It is important to know about the banking basic information such as account creation, demand draft, educational loans etc., and our proposed application which helps the user to face the problems which have been created…
Bayesian classifier for multi-oriented video text recognition system Abstract? Developing an automatic system for recognizing video texts such as signboards, street names, room numbers, building names and hotels names is challenging due to low resolution, complex background, font or font size variations, and multiple orientations of texts. In this paper, we develop a new system…
Bayesian Networks For Evidence-Based Decision-Making in Software Engineering Abstract?Bayesian Networks For Evidence-Based Decision-Making in Software Engineering. Recommendation systems in software engineering (SE) should be designed to integrate evidence into practitioners experience. Bayesian networks (BNs) provide a natural statistical framework for evidence-based decision-making by incorporating an integrated summary of the available evidence and associated uncertainty (of…
BDCaM: Big Data for Context-aware Monitoring – A Personalized Knowledge Discovery Framework for Assisted Healthcare Abstract? BDCaM: Big Data for Context-aware Monitoring – A Personalized Knowledge Discovery Framework for Assisted Healthcare. Context-aware monitoring is an emerging technology that provides real-time personalised health-care services and a rich area of big data application. In this paper, we…
Beamforming for Multiuser MIMO-OFDM Interference Channels With Multipath Diversity Abstract? Designs for multiuser multiple-input and multiple-output with orthogonal frequency-division multiplexing, where the tDransmit and receive beamformers are obtained iteratively with closed-form steps. In the ?rst case, the transmit < Final Year Proejcts 2016 > Tx beamformers are set and the receive (Rx) beamformers are calculated….
Behavior Knowledge Space-Based Fusion for Copy?Move Forgery Detection Abstract? The detection of copy?move image tampering is of paramount importance nowadays, mainly due to its potential use for misleading the opinion forming process of the general public. In this paper, we go beyond traditional forgery detectors and aim at combining different properties of copy?move detection approaches…
BER analysis of conventional and wavelet based OFDM in LTE using different modulation techniques Abstract-Orthogonal Frequency Division Multiplexing (OFDM) and Multiple Input and Multiple Output (MIMO) are two main techniques employed in 4th Generation Long Term Evolution (LTE). In OFDM multiple carriers are used and it provides higher level of spectral efficiency as compared to…
Bestpeer++:Peer to peer Based large scale data processing platform Abstract?Bestpeer++:Peer to peer Based large scale data processing platform. The corporate network is often used for sharing information among the participating companies and facilitating collaboration in a certain industry sector where companies share a common interest. It can effectively help the companies to reduce their…
Biclustering of human cancer micro array data using co-similarity based co-clustering Abstract? Biclustering of gene expression data aims at finding localized patterns in a subspace. A bicluster (some-times called a co-cluster), in the context of gene expression data, is a set of genes that exhibit similar expression intensity under a subset of experimental features (conditions)….
Bidding Strategies for Spot Instances in Cloud Computing Markets Abstract? The response patterns, i.e., some items are rated while others not, are generally ignored. We argue that failing to observe such response patterns can lead to biased parameter estimation and sub-optimal model performance. Although several pieces of work have tried to model users’ response patterns,…
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