Sensor Fusion for Normally Distributed Noise Estimation by Snapshots Techniques Using Foot and Mouth Diseases Massive Data Sets in Karnataka State
Journal Title: International Journal of Agricultural Science and Research (IJASR) - Year 2018, Vol 8, Issue 2
Abstract
The foot and mouth disease (FMD) is one of the highly contagious viral diseases causing illness in cloven- footed animals. The outbreak of this disease can grave deleterious economic burden on national GDP and global economic level. FMD life data sets are often sparse and unable to guide the policymakers on an outbreak, epidemic attack, vaccination status, impact of vaccination, economic loss and mortality rate. Many intrinsic factors have influenced FMD epidemic viz., Climatic, Intrasectoral transmission, disease residual effect, hygiene of the heard, food, shelter, drinking water etc. Over a period of disease occurrence, impact factors, different variants, and confounders have aroused from the FMD real- life datasets. Due to the paucity of literature, no modified Statistical and Mathematical tools have been availed for reduction of high dimensional massive data sets. In this context of the research gap, the present study aims to fit Sensor fusion noise estimation by Snapshots techniques for the reduction of high dimensional massive real life FMD data- sets. The FMD high dimensional life datasets studied pertained to the accrual period from 2005-2014. The data on demographic profile, epidemic factors and economic loss or constraints faced by the farmers were collected through questionnaires. Sensor fusion for noise estimation was simulated by Mathematica-16.50 version. The fitted model estimates incidence rate, outbreak and economic losses within subject noise attributes. The pPresent study recommends the improvement of life quality domain, and also nurtures how best the model would be applied in high dimensional data sets with respect to the traditional method.
Authors and Affiliations
BASAVARAJAIAH D. M, H. N. NARASIMHA MURTHY, S. B. PRASANNA, NAGARAJU Y, KUMAR WADEYAR
Keywords
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- EP ID EP343640
- DOI 10.24247/ijasrapr201817
- Views 132
- Downloads 0
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