Autonomous Agent Based Load Balancing Algorithm in Cloud Computing Abstract? Autonomous Agent Based Load Balancing Algorithm in Cloud Computing. Cloud Computing revolves around internet based acquisition and release of resources from a data center. Being internet based dynamic computing; cloud computing also may suffer from overloading of requests. Load balancing is an important aspect which…
Autonomous Self-Optimization of Coverage and Capacity in LTE Cellular Networks Abstract? : Self-organizing networks promise significant expenditure savings for operators when rolling out modern cellular network infrastructure, such as Long-Term Evolution (LTE) and LTE-Advanced systems. Savings in capital expenditures (CAPEX) and operational expenditures (OPEX) can be achieved in both the network deployment and network operation…
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…
Bad Data Injection Attack and Defense in Electricity Market Using Game Theory Study Abstract? Applications of cyber technologies improve the quality of monitoring and decision making in smart grid. These cyber technologies are vulnerable to malicious attacks, and compromising them can have serious technical and economical problems.< Final Year Project > This paper specifies the…