Open AccessDecoupling Capacitance Enabled Water Pumping System using Photovoltaic System
Author(s) -
Kolli Srisai Sudhakar Reddy*,
P.Adithya Sesha Sai Krishna,
Sk. Moulali,
M.Naga Chaitanya
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d9519.118419
Subject(s) - decoupling (probability) , photovoltaic system , capacitor , capacitance , computer science , robustness (evolution) , control theory (sociology) , voltage , electrical engineering , engineering , control engineering , physics , control (management) , biochemistry , chemistry , artificial intelligence , gene , electrode , quantum mechanics
Dengue fever is one of the tropical diseases, also called as break bone fever. It is caused by transmission of dengue virus through bite from Aedes mosquitoes. Dengue fever is previously predicted regionally using gradient descent algorithm. Annually 50 million to 528 million people get affected by dengue fever and 10,000 to 20,000 die. Reason behind this paper is to predict outbreak of dengue fever regionally by using features such as temperature, rainfall, humidity because breeding of Aedes mosquitoes is related to these features. Bagging and boosting techniques are used with gradient descent to predict more accurately the occurrence of dengue in a region. Data is collected from regional government weather office. Data is pre-processed like filling missing values and normalizing values. Feature selection processes like dimensionality reduction is done on pre-processed dataset. Gradient descent is applied with bagging and boosting. Accuracy is calculated by plotting graphs and by calculating Mean Standard Deviation (MSD) and Mean Absolute Error (MAE). By prediction of dengue fever before its occurrence in a region, makes it easy to vaccinate people in that region and dengue can be controlled and stopped from becoming an outbreak.