vijilamoses
@karunya.edu
Assistant Professor/ Mathematics
Karunya institute of Technology and Sciences
RESEARCH INTERESTS
My doctoral research focused on developing and designing a new sampling plan to reduce the cost and improve the quality. My research area also included a multidisciplinary approach to examining the removal of dye from treated water by analyzing quantitative statistical data
Scopus Publications
Scopus Publications
Aneesh K
Wydawnictwo SIGMA-NOT, sp. z.o.o.
. This work proposes a dynamic comparator design for biomedical signal acquisition. The circuit consumes 4.598uW of power and the propagation delay is found as 39.26ps.The offset voltage variation is 1.33mV, which is the best amongst contemporary designs. The design is simulated using 90nm CMOS scale technology. The designed circuitry of the system is having only 11 number of transistors which make the system more optimised for real time application. The layout area of the design is found as 20.76um 2. The circuit is simple, linear and area efficient and this makes it suitable for low power applications
C K Shaila, G Manoj, P.S. Divya, and M Vijila.
IEEE
Effective verification of circuit designs is required because integrated circuit designs keep growing, and hence the process of verification is becoming major challenging and prolonging action. Hence, there is a need for a robust testbench hierarchy that contains essential common control components which are widely transformable and can be simply extended to models. One architecture that implements architectures for testbench in verification environments along coverage with CRT is the Hierarchy of Universal Verification Methodology (UVM) (Limited Random Test). According to the verification strategy developed following a thorough analysis of the SPI protocol specifications, the current work is appropriately focused on the SPI Single Master and Multiple Slave protocol based on UVM verification. The UVM test bench targets on bringing forth random vectors that are fed to a DUT (Design Under Test) or SPI module and compares them with the output secured by a scoreboard. This procedure helps to validate SPI functionality. The SPI interface has flexible bandwidth and frequency and can give and take data from multiple slaves and powerful APB SPI controllers. An SPI device is difficult to manage over the AMBA bus because it is usually attached to the main data bus of the system, such as the AMBA APB bus interface core. In the field of embedded systems, flash memory has gained its significance. This paper describes how an analog FPGA-based SPI FLASH memory system can be used in various applications by taking advantage of its features such as parallelism, reconfiguration, fast real-time and high speed.
P. S. Divya, Vijila Moses, V. Jasmin Shany, Cyril Samuel, and G. Manoj
Wiley
Divya P. S, Vijila Moses, Manoj G, and Lydia M
World Scientific and Engineering Academy and Society (WSEAS)
In modern times, the worldwide wind turbine installations have developed swiftly resulting in the decrease of green gas emissions. Though wind is a free gift of nature, it is expensive to harness this energy for useful applications like electricity generation. The cost of installation of the wind turbine at a particular station does not depend only on the wind resource, but also on the structure of the turbine and the energy conversion technology. The wind turbine Cost of Energy (CoE) is used to estimate the payback time for the return on the investment made by the wind farm owners for the turbine. Meticulous research is required to optimize the turbine CoE which will make wind a very competent source of energy. In this article, in order to minimize the wind turbine CoE, the wind speed is modelled using three different distributions namely, Dagum, Gamma and Weibull and the evaluation of the turbine Annual Energy Production (AEP) is carried out. Mathematical functions such as linear, quadratic and cubic have been used to model the wind power. For the cost analysis of the turbine, the price model which was established by United States, National Renewable Energy Laboratory (NREL) is employed. The comparative study of the proposed methodology have been done for six different stations. The turbine CoE model is an element of two factors, the rated power Pr of a turbine and the rated wind speed Vr of a turbine. Based on the results obtained, a broad recommendation to reduce the turbine CoE is presented. This study enables us to figure out the minimum turbine CoE among the three discussed mathematical distributions, the finest distribution for wind speed modelling and the optimum mathematical function for wind power modelling. The suitable size of the wind turbine also can be found by optimizing the rotor radius R of the turbine for each data.
T. Augustus Immanuel Pauldurai, J. Anitha, and M. Vijila
Springer Nature Singapore
Kalivel Parameswari, M. Vijila, and P. Jegathambal
Technoscience Publications
This work was carried to compare the efficiency of Cu and Al electrodes in the elimination of Yellow 10 gw dye solution with the optimization of operative factors such as pH, NaCl, contact time, and current density in the electrocoagulation method. Analysis of variance (ANOVA) was used to assess the impact of these variables, with significance set at P<0.05. The data was statistically examined with Origin2021 and SPSS software, and significant differences between mean values were determined using analysis of variance (ANOVA). For each experiment, duplicates were kept, and the efficiency of Yellow 10 gw dye solution for those parameters was derived using analysis at a 5% level of significance. The utility of treated dye solutions using both the electrodes was tested on V.radiata in terms of germination percentage, root, and shoot length with distilled water as control. For all of the qualities examined, significant disparities were found among entries. The dye solution used with Al resulted in much higher germination (100%), root length (9.72 cm), and shoot length (24.5 cm).
Esther Daniel, Durga S., and Vijila M.
IGI Global
Cloud storage offers online storage services to back up data and enables easy access to real-time data at any time and on the fly. The primary issue of security arises as the data is outsourced to remote servers that cause data loss and modifications to occur. Data corruptions or misbehaviours in the cloud service providers (CSP) have to be detected at low cost and promptly. The data outsourced to CSP by the data owners might suffer from cloud service provider misbehaviour, in particular unauthorized deletion of data by CSP to save storage space towards attracting potential clients. Adapting continuous sampling of random blocks as batches reduce the computation workload on the servers, thus detecting the modifications or corruptions if any without time delays. The corrupted data blocks are located with continuous sampling methods and the probability of detection is high.
M. Jayasheela, E. Gomathi, M. Vijila, and Hepzibah A. Christinal
Springer Singapore