Showing 217–228 of 1083 results
AWARE (Asymmetric Write Architecture with REdundant blocks): A High Write Speed STT-MRAM Cache Architecture Abstract?Spin-transfer torque magnetic RAM (STT-MRAM) is a promising memory technology for lower level caches because of its high density and nonvolatile nature. However, the high write latency is a bottleneck to its widespread adoption as the future on-chip memory. In this…
Background Subtraction Based on Low-Rank and Structured Sparse Decomposition Abstract? Background Subtraction Based on Low-Rank and Structured Sparse Decomposition. Low rank and sparse representation based methods, which make few speci?c assumptions about the background, have recently attracted wide attention in background modeling. With these methods, moving objects in the scene are modeled < Final Year...
Backward Path Growth for Ef?cient Mobile Sequential Recommendation Abstract? Backward Path Growth for Efficient Mobile Sequential Recommendation. The problem of mobile sequential recommendation is to suggest a route connecting a set of pick-up points for a taxi driver so that he/she is more likely to get passengers with less travel cost. Essentially, a key challenge…
Backward Path Growth for Efficient Mobile Sequential Recommendation Abstract?Backward Path Growth for Efficient Mobile Sequential Recommendation. The problem of mobile sequential recommendation is to suggest a route connecting a set of pick-up points for a taxi driver so that he/she is more likely to get passengers with less travel cost. Essentially, a key challenge of…
Backward Path Growth for Efficient Mobile Sequential Recommendation Abstract? Backward Path Growth for Efficient Mobile Sequential Recommendation. The problem of mobile sequential recommendation is to suggest a route connecting a set of pick-up points for a taxi driver so that he/she is more likely to get passengers with less travel cost. Essentially, a key challenge…
Backward Path Growth for Efficient Mobile Sequential Recommendation Abstract? Backward Path Growth for Efficient Mobile Sequential Recommendation. The problem of mobile sequential recommendation is to suggest a route connecting a set of pick-up points for a taxi driver so that he/she is more likely to get passengers with less travel cost. Essentially, a key challenge…
Bacterial foraging based hyper-heuristic for resource scheduling in grid computing Abstract?Grid Computing is an evolution of parallel and distributed computing that enables sharing of resources among the users of virtual organizations across the world. The core purpose behind evolution of Grid is to utilize the idle resources. The resource providers who lend their resources for…
Balancing Blocks for Distributed File System in Clouds by Using Load Rebalancing Algoritham Abstract? : Balancing Blocks for Distributed File System in Clouds by Using Load Rebalancing Algoritham. Distributed file systems are key building blocks for cloud computing applications based on the MapReduce programming paradigm. In such file systems, nodes simultaneously serve computing and storage…
Balancing performance accuracy precision secure cloud transaction Abstract?Balancing performance accuracy precision secure cloud transaction. In distributed transactional database systems deployed over cloud servers, entities cooperate to form proofs of authorizations that are justified by collections of certified credentials. These proofs and credentials may be evaluated and collected over extended time periods under the risk of…
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…
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…
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…
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