Sathyabama University

About: Sathyabama University is a education organization based out in Chennai, Tamil Nadu, India. It is known for research contribution in the topics: Wireless sensor network & Diesel fuel. The organization has 5993 authors who have published 5948 publications receiving 47033 citations.

Electroencephalograph (EEG) Based Emotion Recognition System: A Review

Abstract: Brain–computer interfacing is recent technology through which we can communicate with the outside world using the brain signals. This technology plays an important role in the biomedical field. BCI can be used to identify various human emotions. These emotions play an important role in human psychology. Recognition of emotion is subject of interest for both psychologists and engineers. Many researchers are doing a lot of work in the same field. The objective of this paper is to present study of various stages involved in electroencephalography (EEG) signal analysis for human emotion detection. The review gives an explanation of each method like EEG signal acquisition, signal preprocessing, feature extraction, and signal classification.

An intelligent and secure healthcare framework for the prediction and prevention of Dengue virus outbreak using fog computing

Abstract: Mosquitoes play a major role in spreading virus to human. One of the major virus is dengue, and it will cause an impact in the normal health condition. It will lead to some side effects in the human body. The prevention steps that are followed by some countries are not sufficient to control the disease. The remote monitoring as well as the detection and prevention with the help of fog and cloud environment will be an effective solution. The proposed framework will act as an effective method for detecting the people affected by dengue at earlier stage, that will help the medical team to provide treatment. The framework presented in this paper will classify the people depends upon the symptoms, alert is send to the people immediately through the mobile. The framework will help the doctors to find the impact of the disease by analysing the outcome and to act effectively within a limited period of time.

GC-MS analysis of bioactive components and biosynthesis of silver nanoparticles using Hybanthus enneaspermus at room temperature evaluation of their stability and its larvicidal activity

Abstract: Green synthesis of silver nanoparticles (AgNPs) using Hybanthus enneaspermus extract at room temperature that act as a reducing agent as well as capping agent has been investigated. The synthesized AgNPs were characterized by UV-visible spectroscopy, X-ray diffraction (XRD), Fourier transform infrared (FTIR), zeta potential, and dynamic light scattering (DLS) transmission electron microscopy (TEM) and energy-dispersive X-ray (EDX). The silver surface plasmon resonance was observed at 420 nm in the UV-visible spectrum. XRD peaks were observed at 2θ values in 38.20°, 44.40°, 64.60°, and 77.50° which are indexed as (111), (200), (220), and (311) bands of face-centered cubic (fcc) structures of silver. FTIR revealed the AgNPs were capped with plant compounds of alcohol, phenols, carbonyl, amines, and amide functional groups. TEM image shows that the particles were of spherical, hexagonal, and triangular in shape, and the size range was 16-26 nm. Further, DLS exhibits the average size of 25.2 nm and the zeta values were measured (-27.1 mV) which proves the stability of the AgNPs. The conversion of Ag(+) ions into Ag(0) was calculated using inductively coupled plasma atomic emission spectroscopy (ICP-MS) and was found to be 96 %. The biosynthesized AgNPs showed the larvicidal activity with the LC50 values of 17.24 and 13.12 mg/L against the fourth-instar larvae of Anopheles subpictus and Culex quinquefasciatus, respectively. The GC-MS analysis of the plant extract showed that 39 bioactive phytochemical compounds have been found to possess a wide range of activities, which may help in the protection against incurable diseases.