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897 results on '"Nithya, A."'

1. Improved Meta-Heuristic Technique to FIR Filter Design and Application

Author

K. Srivatsan and Nithya Venkatesan

Subjects
Digital filters, frequency response masking, cascade FIR filter, weighted least square method and meta-heuristic algorithm, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

The main aim of signal separation with the FIR function is considerably extended by the requirements of communication networks to improve the transfer of information from transmitter to the receiver without increasing hardware difficulty. To achieve this, there is a design requirement for a certain type of digital filter with specific frequency response characteristics concurrently to develop the efficient hardware techniques is also essential. The advantage of FRM based FIR filter is that its structure comprises of sub filters that has a smaller number of non-zero coefficient compared to a minimax optimum design. This paper work envisage an integrated optimization approach known as Brain Storm-Grey Wolf Optimizer (BSGWO) algorithm for the development of Frequency Response Masking (FRM) based design of FIR filter. In GWO, three wolves are named alpha, beta and delta respectively based on their social ranks. Among three wolves, alpha is placed in first position in social ranking. BSGWO make use of selected alpha wolf in the mutation or new individual generation process of BSO to speed up the convergence of optimization algorithm. By leveraging the characteristics of the highest ranked alpha, BSGWO aims to guide the search towards promising regions of the solution space, potentially enhancing the efficiency and effectiveness of the optimization process. The least square algorithm is used initially to find the filter coefficients of the original filters and the proposed algorithm is used to obtain optimal filter coefficients. In both the cases, fitness, the number of components, and the Mean Absolute Error (MAE) will be measured and analysed to prove the filter performances. This proposed algorithm offers a minimum fitness with improved convergence speed, and smallest MAE of 0.05, 0.0155, respectively in comparison with the existing heuristic algorithms.

Published
2024
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2. An Adaptive Threshold-Based Modified Artificial Bee Colony Optimization Technique for Virtual Machine Placement in Cloud Datacenters

Author

Faten Khalid Karim, Nithya Rekha Sivakumar, Sameer Alshetewi, Ahmed Zohair Ibrahim, and Geetha Venkatesan

Subjects
Adaptive threshold, modified artificial bee colony optimization, VM placement, resource management, virtual service handling, optimization, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

The usage of cloud computing service platforms are exponentially growing to provide on-demand services for end-users for using advanced technologies. These platform services are achieved through resource virtualization to maximize the resource usage and minimize energy requirements. Energy consumption is a key factor for designing efficient and manageable cloud data centers. Optimal techniques are used for placing virtual machines in physical machines to reduce the energy consumption ratio of physical hosts. This paper proposes a novel efficient virtual machines placement algorithm for a cloud computing environment. This method exploits a modified artificial bee colony optimization algorithm for identifying under-utilized physical machines based on energy consumption and resource allocation charts. An adaptive threshold method is then proposed to select suitable threshold levels for energy consumption to identify under-utilized physical host machines. A comparative analysis with state of art methods is carried out by using the CloudSim 3.0 simulator. Simulation results show the superiority of our method, able to achieve the highest accuracy values of 97.2% for accuracy and of 97.9% for precision rate, thus confirming the efficacy of our approach for virtual machine placement in cloud environments.

Published
2024
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13. Multimode Inverter Control Strategy for LVRT and HVRT Capability Enhancement in Grid Connected Solar PV System

Author

C. Nithya and J. Preetha Roselyn

Subjects
Fault ride through capability, FRT detection, grid connected solar PV, inverter control, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Grid Connected Photo Voltaic (GCPV) system should be susceptible to grid faults and load curtailment without disconnection and supports in grid stability. During grid faults, there is an increase in dc link voltage, dip in grid voltage which leads to over-current on the grid side. Similarly, when demand is suddenly removed, the voltage at the PCC rises above its nominal value. This leads to possible damage in the PV inverters and hence need to disconnection of GCPV system leading to islanding scenarios. Hence, the GCPV system need to be equipped with Fault Ride Through (FRT) capability to address the issues related to low voltage and high voltage conditions in the grid side. In this work, multimode inverter control strategy is proposed with FRT capability according to grid code compliance. An improved current control technique is proposed as FRT based protection strategy during grid faults and sudden removal of load. According to severity of faults, a fault level detection is developed which triggers the control strategies to generate the reference real and reactive power with respect to the grid code compliance. The performance analysis of the proposed FRT control strategy is implemented in 100 kW two-stage GCPV system in MATLAB/Simulink 2018b environment and tested under low voltage and high voltage ride through conditions. The proposed control strategy is implemented in hardware setup of 1 kW GCPV system. The experimental results prove the effectiveness of the proposed inverter FRT based control strategy in enhancing the system parameters during system disturbances under different modes of operation.

Published
2022
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26. Finite-Time Asynchronous Fault Detection Filter Design for Conic-Type Nonlinear Semi-Markovian Jump Systems

Author

V. Nithya, V. T. Suveetha, R. Sakthivel, and Yong-Ki Ma

Subjects
Semi-Markovian jump system, conic-type nonlinearity, missing measurements, asynchronous fault detection filter, stochastic finite-time boundedness, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

In this work, the problem of finite-time asynchronous fault detection filter design is investigated for conic-type nonlinear semi-Markovian jump systems with time delay, missing measurements and randomly jumping fault signal. In particular, the transition probability of the semi-Markov process is considered as time-varying along with lower and upper bounds of the transition rate. Besides, the asynchronous fault detection filter is developed for semi-Markovian jump systems with specific time-varying transition probability satisfying semi-Markov process. To quantify the effects of missing measurements a stochastic variable that satisfies Bernoulli’s distribution is adopted. Furthermore, a set of sufficient conditions is derived in terms of linear matrix inequalities (LMIs) by constructing proper mode-dependent Lyapunov-Krasovskii functional such that the augmented asynchronous fault detection filtering error system is stochastically finite-time bounded with prescribed strictly $(\mathbb {Q},\mathbb {S},\mathbb {R})-\gamma $ dissipative performance. Finally, the provided filter designs applicability and usefulness has been verified with two numerical examples.

Published
2021
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