A Cost-Optimized Resource Provisioning Policy for Heterogeneous Cloud Environments Abstract– In the first place, to avoid the drawbacks of a pricing mechanism in heterogeneous cloud environments that considers only single resources, propose a multi-resource combinatorial pricing mechanism in this paper. This approach jointly considers the principal resources (i.e., CPU, memory, storage, and bandwidth) with the…
A Critical-time-point Approach to All-departure-time Lagrangian Shortest Paths Abstract? Given a spatio-temporal network, a source, a destination, and a desired departure time interval, the All-departure time Lagrangian Shortest Paths < Final Year Projects 2016 > ALSP problem determines a set which includes the shortest path for every departure time in the given interval. ALSP is…
A Cross Layer Token Generation (Cltg) Technique To Detect Worm Hole Attacks In Manet Abstract-A Mobile Adhoc Network (MANET) consists of random moving nodes which are free to move throughout the network. A Mobile Adhoc network (MANET) is a kind of wireless mobile nodes that can communicate with each other through radio waves. It dynamically…
A Current Control Scheme of Brushless DC Motors Driven by Four-Switch Three-Phase Inverters Abstract-Based on brushless DC motors (BLDCM) driven by four-switch three-phase inverter (FSTPI), a current control scheme is proposed to reduce the current ripple of both normal conduction region and commutation region. Assuming c-phase winding is connected to the middle point of DC-link…
A Data Mining Approach Combining K-Means Clustering with Bagging Neural Network for Short-term Wind Power Forecasting Abstract-Wind power forecasting (WPF) is significant to guide the dispatching of grid and the production planning of wind farm effectively. The intermittency and volatility of wind leading to the diversity of the training samples have a major impact on…
A Data Mining Approach Combining K-Means Clustering with Bagging Neural Network for Short-term Wind Power Forecasting Abstract-Wind power forecasting (WPF) is significant to guide the dispatching of grid and the production planning of wind farm effectively. The intermittency and volatility of wind leading to the diversity of the training samples have a major impact on…
A Decentralized Cloud Firewall Framework with Resources Provisioning Cost Optimization Abstract? A Decentralized Cloud Firewall Framework with Resources Provisioning Cost Optimization. Cloud computing is becoming popular as the next infrastructure of computing platform. Despite the promising model and hype surrounding, security has become the major concern that people hesitate to transfer their applications to clouds….
A decision-theoretic rough set approach for dynamic data mining Abstract? Uncertainty and fuzziness generally exist in real-life data. Approximations are employed to describe the uncertain information approximately in rough set theory. Certain and uncertain rules are induced directly from different regions partitioned by approximations. Approximation can further be applied to data mining related task, e.g.,…
A Decomposition Framework for Image Denoising Algorithms Abstract? A Decomposition Framework for Image Denoising Algorithms. we consider an image decomposition model that provides a novel framework for image denoising. The model computes the components of the image to be processed in a moving frame that encodes its local geometry directions of gradients and level lines….
A Decomposition Framework for Image Denoising Algorithms Abstract? A Decomposition Framework for Image Denoising Algorithms. we consider an image decomposition model that provides a novel framework for image denoising. The model computes the components of the image to be processed in a moving frame that encodes its local geometry < Final Year Projects 2016 >…
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A Detailed Investigation and Analysis of using Machine Learning Techniques for Intrusion Detection Abstract-Intrusion detection is one of the important security problems in todays cyber world. A significant number of techniques have been developed which are based on machine learning approaches. However, they are not very successful in identifying all types of intrusions. In this…
