Christ University

About: Christ University is a education organization based out in Bengaluru, India. It is known for research contribution in the topics: Computer science & Convection. The organization has 2267 authors who have published 2715 publications receiving 14575 citations. The organization is also known as: Christ College & Christ University.

Vertical Stratification of Spiders in Kuttanad Rice Agroecosystem, Kerala

Abstract: Investigations were carried out during the period from July 2010 to January 2011 on the vertical stratification of spiders in the rice agroecosystem of Kuttanad, Kerala. For the present study, five main functional groups were recognized based on the activity and foraging behaviour related to average height of the rice plant, namely 80cm. The final growth stage of each plant was thoroughly examined from top to bottom, on leaf blades, flowers, dry leaves and ground stratum. Spiders were then identified with the help of available literature. A total of 1632 individuals from 69 species, 49 genera and 17 families were collected during the study period. The most species rich family was Salticidae (15 species) followed by Tetragnathidae (12 species) and Araneidae (7 species). The spiders collected were classified into 7 ecological guilds based on the foraging mode of the spiders. Among the 69 species of spiders collected, 54% belongs to stalkers (28%) and orb weavers (26%) categories. The second dominant guilds are the ground runners (13%) and space web builders (11%). Ambushers (10%), foliage runners (7%), sheet web builders (5%) and sheet web builders are the other ecological guilds to which these spiders belong.

A Particle Swarm Optimization-Backpropagation (PSO-BP) Model for the Prediction of Earthquake in Japan

Abstract: Japan is a country that suffers a lot of earthquakes and disasters because it lies across four major tectonic plates. Subduction zones at the Japanese island curves are geologically complex and create various earthquakes from various sources. Earthquake prediction helps in evacuating areas, which are suspected and could save the lives of people. Artificial neural network is a computing model inspired by biological neurons, which learn from examples and can be able to do predictions. In this paper, we present an artificial neural network with PSO-BP model for the prediction of an earthquake in Japan. In PSO-BP model, particle swarm optimization method is used to optimize the input parameters of backpropagation neural network. Information regarding all major, minor and aftershock earthquake is taken into account for the input of backpropagation neural network. These parameters are taken from Japan seismic catalogue provided by USGS (United States Geological Survey) such as latitude, longitude, magnitude, depth, etc., of earthquake.

Sentiment Analysis on Indian Government Schemes Using Twitter data

Abstract: People use social media for entertainment, fetching information, news, business, communication and many more. Few of such social media applications are Facebook, Twitter, WhatsApp, Snapchat and so on. Twitter is one among the micro blogging websites. We are using Twitter mainly because it has gained a lot of media attention. The text written is referred to as tweets, where a common man can tweet or can write their hearts out. We would be fetching the direct responses from the public and hence the data is more real-time. First step is to fetch the tweets on a particular scheme using python language code followed by the cleaning process then comes the creation of bag of words. Later these bags of words are given as an input to the algorithms. Finally, after training the algorithms, we will be getting the sentiment of the public on that scheme.

An Aqueous Phase TEMPO-Mediated Electrooxidation of Benzyl Alcohol at β-CD-PPy-Modified Carbon Fibre Paper Electrode

Abstract: A green and facile electrocatalytic method for the oxidation of benzyl alcohol in an acidic aqueous medium was developed using an anionic micellar system. β-cyclodextrin-polypyrrole-modified carbon fibre paper (β-CD-PPy/CFP) electrode was successfully used in the oxidation of benzyl alcohol with TEMPO as the mediator. The modified electrode was characterized by cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), scanning electron microscopy (SEM), fourier transform infrared spectroscopy (FTIR) and Raman spectroscopy. The modified electrode exhibited a strong electrocatalytic activity towards TEMPO-mediated oxidation of benzyl alcohol.