Implementation of an efficient Fuzzy Logic based Information Retrieval System

This paper exemplifies the implementation of an efficient Information Retrieval (IR) System to compute the similarity between a dataset and a query using Fuzzy Logic. TREC dataset has been used for the same purpose. The dataset is parsed to generate keywords index which is used for the similarity comparison with the user query. Each query is assigned a score value based on its fuzzy similarity with the index keywords. The relevant documents are retrieved based on the score value. The performance and accuracy of the proposed fuzzy similarity model is compared with Cosine similarity model using Precision-Recall curves. The results prove the dominance of Fuzzy Similarity based IR system.Comment: arXiv admin note: substantial text overlap with http://ntz-develop.blogspot.in/ , http://www.micsymposium.org/mics2012/submissions/mics2012_submission_8.pdf , http://www.slideshare.net/JeffreyStricklandPhD/predictive-modeling-and-analytics-selectchapters-41304405 by other author

Weak value amplification using asymmetric spectral response of Fano resonance as a natural pointer

Weak measurement enables faithful amplification and high precision measurement of small physical parameters and is under intensive investigation as an effective tool in metrology and for addressing foundational questions in quantum mechanics. Most of the experimental reports on weak measurements till date have employed external symmetric Gaussian pointers. Here, we demonstrate its universal nature in a system involving asymmetric spectral response of Fano resonance as the pointer arising naturally in precisely designed metamaterials, namely, waveguided plasmonic crystals. The weak coupling arises due to a tiny shift in the asymmetric spectral response between two orthogonal linear polarizations. By choosing the pre- and post-selected polarization states to be nearly mutually orthogonal, we observe both real and imaginary weak value amplifications manifested as spectacular shift of the peak frequency of Fano resonance and narrowing (or broadening) of the resonance line width, respectively. Weak value amplification using asymmetric Fano spectral response broadens the domain of applicability of weak measurements using natural spectral line shapes as pointer in wide range of physical systems

Experimental investigation of Waste Transformer Oil as alternative Fuel in a DI Diesel Engine

This paper reports on the Waste transformer oil fuel is blended with diesel fuel in different percentage and the effects of their operational characteristics and performance and emission characteristics of the DI diesel engine. In this study, the tested fuels were obtained through catalytic cracking process. Experimental results showed that the flash points and cetane number of the WTO blended diesel have increased with higher concentration of WTO. Based on the experimental results, HC, CO and NOx emissions noticeably decrease, while smoke emissions dramatically increase with increasing the dosing level of WTO. At the full load, the magnitude of HC, CO and NOx emissions for the neat diesel was 120 ppm, 0.36 (%by volume) and 1130ppm, whereas it was 68 ppm, 0.17 (%by volume) and 410ppm for the WTO20 fuel, respectively. The results also showed a significant enhancement in brake thermal efficiency and heat release rate due to the influence of the WTO20 in diesel blend

GPU CUDA Accelerated Image Inpainting using Fourth Order PDE Equation

This paper describes the technique to accelerate inpainting process using fourth order PDE equation using GPU CUDA. Inpainting is the process of filling in missing parts of damaged images based on information gleaned from surrounding areas. It uses the GPU computation advantage to process PDE equation into parallel process. Fourth order PDE will be solved using parallel computation in GPU. This method can speed up the computation time up to 36x using NVDIA GEFORCE GTX 67

An empirical study of market risk factors for Bitcoin

The study examines whether fama-french equity factors can effectively explain the idiosyncratic risk and return characteristics of Bitcoin. By incorporating Fama-french factors, the explanatory power of these factors on Bitcoin's excess returns over various moving average periods is tested through applications of several statistical methods. The analysis aims to determine if equity market factors are significant in explaining and modeling systemic risk in Bitcoin.Comment: 10 page