Balancing throughput and response time in online scientific Clouds via Ant Colony Optimization (SP2013/2013/00006) Abstract? Balancing throughput and response time in online scientific Clouds via Ant Colony Optimization < Final Year Projects 2016 > SP2013/2013/00006. The Cloud Computing paradigm focuses on the provisioning of reliable and scalable infrastructures (Clouds) delivering execution and storage services. The…
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…
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…
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…
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,…
Big Data, Big Knowledge: Big Data for Personalized Healthcare Abstract? Big Data, Big Knowledge: Big Data for Personalized Healthcare. The idea that the purely phenomenological knowledge that we can extract by analyzing large amounts of data can be useful in healthcare seems to contradict the desire of VPH researchers to build detailed mechanistic models for…
Billing For Silvershop Abstract?Billing For Silvershop. Mobile devices are evolving and becoming increasingly popular over the last few years. This growth, however, has exposed mobile devices to a large number of security threats. Malware installed in smartphones can be used for a variety of malicious purposes, including stealing personal data, sending spam SMSs, and launching…
Bio-Inspired Glucose Control in Diabetes Based on an Analogue Implementation of a -Cell Model Abstract?This paper presents a bio-inspired method for in-vivo control of blood glucose based on a model of the pancreatic ?-cell. The proposed model is shown to be implementable using low-power analogue integrated circuits in CMOS, realizing a biologically faithful implementation which…
BIOLOGICAL EARLY BRAIN CANCER DETECTION USING ARTIFICIAL NEURAL NETWORK Computer aided diagnosis systems for detecting malignanttexture in biological study have been investigated usingseveral techniques. This paper presents an approach incomputer-aided diagnosis for early prediction of braincancer using Texture features and neuro classification logic.< Final Year Projects >The Tumor mass detection and Cluster microclassification is…
Biomedical Document Clustering Using Ontology based Concept Weight Abstract?Conventional document clustering techniques are mainly based on the existence of keywords and the number of occurrences of it. Most of the term frequency based clustering techniques consider the documents as bag-of-words and ignore the important relationships between the words in the document. Phrase based clustering…
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