Web based Recommender Systems and Rating Prediction

This project implements a recommender system on large dataset of Netflix’s movies. This project also tries to improve recommender systems by incorporating confidence interval and genres of movies. This new approach enhances the performance and quality of service of recommender systems and gives better result than Netflix commercial recommender system, Cinematch

Challenges to Modernization of Agricultural Food Production Using Improved Technologies

Agribusiness, Research and Development/Tech Change/Emerging Technologies,

Full-Duplex Relay with Jamming Protocol for Improving Physical-Layer Security

This paper proposes a jointly cooperative relay and jamming protocol based on full-duplex (FD) capable relay to increase the source-destination secrecy rate in the presence of different types of eavesdroppers. In this so called \textit{FD-Relay with jamming (FDJ)} protocol, the FD-Relay, first, simultaneously receives data and sends jamming to the eavesdropper, and, then, forwards the data, while the source jams the eavesdropper. Achievable secrecy rates of the proposed FDJ in presence of different eavesdropper types and self-interference (SI) are derived and compared with those of the traditional half-duplex (HD) relay. The adaptive power allocation for secrecy rate maximization in a multi-carrier scenario for both proposed FDJ and HD-Relay is formulated as a non-convex optimization problem and corresponding iterative solution algorithm is developed using the difference-of-two-concave-functions (DC) programming technique. The simulation results confirm that FDJ offers significant improvements in the secrecy rate over the HD-Relay.Comment: PIMRC 201

Spillover impacts of the US macroeconomic news: Australian sectoral perspective

We study the spillover effects of the US macroeconomic news on different sectors of the Australian stock market. We find that an indication of economic contractionary from the US raises the conditional mean, and most news elicits the associated volatility in the Australian stock markets. While the US news has been absorbed relatively quickly on the conditional mean, the volatility impact speed is unclear. More importantly, we reveal that the US GDP news has the strongest impact on both the first two moments of the Australian daily returns and help reduce volatility in the latter market.Spillover effects; Macroeconomic news; Australia stock markets; EGARCH