Browsing by Author "Mohanapriya S"

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ANALYSIS ON ARTIFICIAL NEURAL NETWORK AND ITS APPLICATIONS
(PKR Arts College for Women, 2018-08) Selvanayaki M; Mohanapriya S
Network is an approach of gathering simple elements to produce complex system. There are a large number of different types of networks, but they all are characterized by the following components: a set of nodes, and connections between nodes. The nodes can be seen as computational units. They receive inputs, and process them to obtain an output. This processing might be very simple (such as summing the inputs), or quite complex (a node might contain another network). The connections determine the information flow between nodes. They can be unidirectional, when the information flows only in one sense, and bidirectional, when the information flows in either sense. The interactions of nodes though the connections lead to a global behavior of the network, which cannot be observed in the elements of the network. This means that the abilities of the network supercede the ones of its elements, making networks a very powerful tool.
GENETIC SEQUENCING AND MEDICINAL ANALYSIS ON THREE VARIETIES OF GINGER TUBER
(Journal of Critical Reviews, 2020-08) Anushya Devi T.S; Mohanapriya S; Afrin I
Bio-informatics is an interdisciplinary field of science involved in collecting and analysingbiological data. It is processed with the help of software tools, thereby to increase the understanding of biological processes. The ginger tuber is put into the staging of DNA Isolation to know the presence of DNA in the ginger. It undergoes PCR (Polymerase Chain Reaction) amplification where many million copies of the DNA are made in an exponential way using Thermo-cycling at a certain temperature and time delay. So, the extract of samples is being, taken for the further process of sequencing .The final process is the Gene Sequencing which is done to figure differentiation of different ginger tuber on the bases of Genome.
THEORETICAL ANALYSIS OF SPR CHARACTERISTICS OF IRIDIUM
(Chikkanna Government Arts College, Tirupur, 2017-01-19) Mohanapriya S; Subanya S; Kasthuri R; Rajesh K B
The technology and applications of optical fiber have progressed very rapidly in the recent years. A detailed theoretical analysis on the performance of single and bimetal iridium layer coated on a core of an optical fiber. By varying the structure of the iridium as thin film, nanoparticle and grating, the performance of the spr based fiber optic sensor is studied and compared in detail. To study the performance of the sensor, we calculated the sensitivity, Reflection coefficient, Q factor and FWHM using Iridium with other spr active metals. Interestingly, as the thickness of the iridium layer increases, dominance of inverted surface plasmon resonance character of iridium was also observed and analyzed. At specific conditions, iridium exhibits normal as well as inverted spr characteristics. The proposed sensor finds application in various fields.