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S. Sumathi

Publications
19
Citations
58
Publications by Year
20062023
Co-Authors:
Show All Co-Authors (19)
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S. Sumathi

Affiliation

Department of Electrical and Electronics Engineering
Mahendra Engineering College
TamilNadu, India

Publication Topics

Biography

S. Sumathi received the B.E. degree in Electrical engineering from Madurai Kamaraj University in 1990, M.E. from Bangalore University in 1994, M.S in software systems in 2002 from BITS, Pilani. Currently she is working as Associate Professor in the department of Electrical and Electronics Engineering at R.N.S. Institute of Technology, Bangalore. Her research interests include Computer aided power system analysis and Artificial intelligence application to power system analysis.(Based on document published on 27 June 2016).
Publications
19
Citations
58
Publications by Year
20062023
Co-Authors:
Show All Co-Authors (19)
Author's Published Works

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Experimental Evaluation of Cerebral Palsy Recognition based on MRI Scan Images using Advanced Learning Assisted Prediction Principle

M. Sweetline Sonia;S. Sumathi

2023 International Conference on Sustainable Communication Networks and Application (ICSCNA)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
The loss of movement in addition to mental wellbeing is a characteristic of cerebral palsy, a neurological illness that can have Perinatal and prenatal/postnatal causes. This proposal has been met with opposition due to questions regarding the sufficiency of the proof used to justify it. In order to get a better knowledge of the causes of cerebral palsy, this article assesses the data from Magneti...Show More

Experimental Evaluation of Cerebral Palsy Recognition based on MRI Scan Images using Advanced Learning Assisted Prediction Principle

M. Sweetline Sonia;S. Sumathi

Year: 2023 | Conference Paper |

Analysis of Distinctive DC-DC Power Converters for an Enabled Freestanding Solar Water Pump

S. Sumathi;M. Malukannan;S. Krishnan

2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
The present study, different high-frequency power conversion techniques to improve the water pump with solar energy. The potential power of the solar irradiation is maximized using the Maximum Power Point Tracking management method. Due to their frequent distance from the village, fields in rural locations will be challenging to link to the grid. Therefore, pumps and other needs on the fields can ...Show More

Analysis of Distinctive DC-DC Power Converters for an Enabled Freestanding Solar Water Pump

S. Sumathi;M. Malukannan;S. Krishnan

Year: 2022 | Conference Paper |

A Comparative Analysis of Wavelet Transforms for Denoising MRI Brain Images

M. Sweetline Sonia;S. Sumathi

2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS)
Year: 2022 | Conference Paper |
Clinical practice, such as diagnosis, treatment, and findings from linked studies heavily rely on medical imaging. Medical images are frequently tainted or deformed during image acquisition and transmission due to various sounds, camera focus issues, blood flow disturbances, and atmospheric turbulence. Therefore, image denoising processing is required in order to enhance the image quality. When fu...Show More

A Comparative Analysis of Wavelet Transforms for Denoising MRI Brain Images

M. Sweetline Sonia;S. Sumathi

Year: 2022 | Conference Paper |

Water Pumping System using PSO-MPPT Algorithm based on Solar Photovoltaic

S. Sumathi;T. Monika

2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Water pumping system behavior under the influence of Brushless Dc Motor (BLDC) is examined in this research. One Global Point (GP) and a number of Maximum Power Point Tracking MPPT can be detected on the power-voltage curve of a Solar photovoltaic (SPV) array. In terms to control the global point, Partical Swarm Optimization (PSO) is used. It has been demonstrated that the PSO-based MPPT technique...Show More

Water Pumping System using PSO-MPPT Algorithm based on Solar Photovoltaic

S. Sumathi;T. Monika

Year: 2022 | Conference Paper |

Search for Effective Data Mining Algorithm for Network Based Intrusion Detection (NIDS)-DDOS Attacks

S. Sumathi;N. Karthikeyan

2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW)
Year: 2018 | Conference Paper |
Cited by: Papers (6)
Cloud Security can be effectively implemented using data mining techniques. Distributed Denial of Service (DDoS) has been classified as one of the most common as well as damaging forms of attack on the cloud environment. Hence it is important to detect DDOS attack in cloud platforms. Previously various detection strategies have been proposed by researchers and used as defense mechanisms against DD...Show More

Search for Effective Data Mining Algorithm for Network Based Intrusion Detection (NIDS)-DDOS Attacks

S. Sumathi;N. Karthikeyan

Year: 2018 | Conference Paper |

Preprocessing of experimental partial discharge signalsin insulation samples using adaptive signal processing

S. Madhu;S. Sumathi;H. A. Vidya

2017 International Conference on Smart grids, Power and Advanced Control Engineering (ICSPACE)
Year: 2017 | Conference Paper |
Cited by: Papers (1)
The pre-processing of the Partial Discharge (PD) signal is very important and crucial stage in analyzing condition of the electrical insulation. The PD information is lost in the presence of various noises. The wavelet based adaptive Thresholding de-noising techniques are well suited for reducing the noise. This paper considers the various adaptive thresholding techniques such as Heursure, Minimax...Show More

Preprocessing of experimental partial discharge signalsin insulation samples using adaptive signal processing

S. Madhu;S. Sumathi;H. A. Vidya

Year: 2017 | Conference Paper |

A novel approach for partial discharge pattern recognition based on FP3CM-ENN

S. Sumathi;S. Madhu;H. A. Vidya

2017 International Conference on Smart grids, Power and Advanced Control Engineering (ICSPACE)
Year: 2017 | Conference Paper |
Partial Discharge (PD) pattern recognition is a main tool for assessing the insulating ability of high voltage (HV) equipment. A new PD identification method found on the fuzzy-possibilistic product partition c-means (FP3CM) — extension neural network (ENN) for HV equipment is proposed in this paper. A PD detector is familiar to assess the PD patterns. The Statistical feature extraction method is ...Show More

A novel approach for partial discharge pattern recognition based on FP3CM-ENN

S. Sumathi;S. Madhu;H. A. Vidya

Year: 2017 | Conference Paper |

Automatic control loop tuning of PMAC servomotor drives using PID controller

A. Arokkiasamy;S. Sumathi

2017 Conference on Emerging Devices and Smart Systems (ICEDSS)
Year: 2017 | Conference Paper |
Cited by: Papers (1)
Servo motor drives typically involves three control terms which are current, velocity, and position control systems. Efficient and precise speed control of PMAC needs accurate expertise of rotor flux, position, and speed. To obtain suitable and reliable active responses of drive involves precise tuning of the controllers. Estimation of parameter and auto-tuning method of PMAC servo motor drives is...Show More

Automatic control loop tuning of PMAC servomotor drives using PID controller

A. Arokkiasamy;S. Sumathi

Year: 2017 | Conference Paper |

Behavior modification of PID controller for AVR system using particle swarm optimization

Kuppuraju Elumalai;S. Sumathi

2017 Conference on Emerging Devices and Smart Systems (ICEDSS)
Year: 2017 | Conference Paper |
Cited by: Papers (10)
This paper presents a novel fitness function for determining the parameters of a most favorable PID controller for an automatic voltage regulator system using Particle Swarm Optimization Algorithm approach. An algorithm of employing proposed approach to regulate the various parameters of the synchronous generator is presented. From the MATLAB simulation results, it can be settled that the approach...Show More

Behavior modification of PID controller for AVR system using particle swarm optimization

Kuppuraju Elumalai;S. Sumathi

Year: 2017 | Conference Paper |

Artificial neural network application for voltage control and power flow control in power systems with UPFC

S. Sumathi;Bansilal

2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)
Year: 2015 | Conference Paper |
Cited by: Papers (1)
Voltage control and stability are important aspects in the day to day operation of modern stressed power system networks. Unified power flow controller (UPFC) is an important FACTS device, which can simultaneously control the voltage at a bus and the active and reactive power flow through the transmission line to which it is connected. The variables of the UPFC must be controlled in accordance wit...Show More

Artificial neural network application for voltage control and power flow control in power systems with UPFC

S. Sumathi;Bansilal

Year: 2015 | Conference Paper |

Renewable energy source piezo electric harvesters in car tyres

A. Dinesh Kumar;S. Sumathi

2015 Online International Conference on Green Engineering and Technologies (IC-GET)
Year: 2015 | Conference Paper |
Cited by: Papers (2)
The main aim of this paper is to harvest energy that could power a car without causing any kind of pollution in an economical way. We are embedding the piezoelectric crystals in the tyres of cars and heavy vehicles which on application of force (i.e. due to the pressure applied) produces electricity. When the wheel of the vehicle rotates, the mechanical stress exerted by the vehicle on the crystal...Show More

Renewable energy source piezo electric harvesters in car tyres

A. Dinesh Kumar;S. Sumathi

Year: 2015 | Conference Paper |

A novel algorithm for denoising of simulated partial discharge signals using Adaptive wavelet thresholding methods

S. Madhu;H. B. Bhavani;S. Sumathi;H. A. Vidya

2015 2nd International Conference on Electronics and Communication Systems (ICECS)
Year: 2015 | Conference Paper |
Cited by: Papers (10)
Partial Discharge (PD) signal denoising is very significant in analyzing its characteristics and its effect on high voltage insulation equipments. Mainly, the PD information is lost in the presence of various noises. The wavelet transform provides a better platform for PD signal pre and post processing. The wavelet adaptive thresholding denoising techniques provides a better method to reduce noise...Show More

A novel algorithm for denoising of simulated partial discharge signals using Adaptive wavelet thresholding methods

S. Madhu;H. B. Bhavani;S. Sumathi;H. A. Vidya

Year: 2015 | Conference Paper |

Ant colony optimization for solving combinatorial fuzzy Job Shop Scheduling Problems

P Surekha;P. RA. Mohanaraajan;S. Sumathi

2010 International Conference on Communication and Computational Intelligence (INCOCCI)
Year: 2010 | Conference Paper |
In this paper, we present an ant colony optimization algorithm for solving the Job-shop Scheduling Problem (JSSP). Ant Colony Optimization (ACO) is a metaheuristic inspired by the foraging behavior of ants, which is also used to solve this combinatorial optimization problem. In JSSP ants move from one machine (nest) to another machine (food source) depending upon the job flow, thereby optimizing t...Show More

Ant colony optimization for solving combinatorial fuzzy Job Shop Scheduling Problems

P Surekha;P. RA. Mohanaraajan;S. Sumathi

Year: 2010 | Conference Paper |

Genetic Algorithm and Particle Swarm Optimization approaches to solve combinatorial job shop scheduling problems

P Surekha;Pra Mohana Raajan;S Sumathi

2010 IEEE International Conference on Computational Intelligence and Computing Research
Year: 2010 | Conference Paper |
Cited by: Papers (5)
In this paper an eminent approach based on the paradigms of evolutionary computation for solving job shop scheduling problem is proposed. The solution to the problem is alienated into three phases; planning, scheduling and optimization. Initially, fuzzy logic is applied for planning and then scheduling is optimized using evolutionary computing algorithms such as Genetic Algorithm (GA), and Particl...Show More

Genetic Algorithm and Particle Swarm Optimization approaches to solve combinatorial job shop scheduling problems

P Surekha;Pra Mohana Raajan;S Sumathi

Year: 2010 | Conference Paper |

An efficient optimization technique for digital watermarking in image processing

M. Yuvaraj;P Surekha;S Sumathi

2010 International Conference on Intelligent Control and Information Processing
Year: 2010 | Conference Paper |
Cited by: Papers (2)
In this paper, mathematical modeling of digital watermarking is proposed to approximate the image based on the generalized Gaussian distribution. Using maximum a posteriori probability based image segmentation and fuzzy c means image segmentation, the cover image is segmented into several homogeneous areas. In EM segmentation, every region in the image is represented by a generalized Gaussian dist...Show More

An efficient optimization technique for digital watermarking in image processing

M. Yuvaraj;P Surekha;S Sumathi

Year: 2010 | Conference Paper |

A methodology to schedule and optimize job shop scheduling using computational intelligence paradigms

P RA Mohana Raajan;P Surekha;S Sumathi

2010 International Conference on Intelligent Control and Information Processing
Year: 2010 | Conference Paper |
Cited by: Papers (4)
Evolutionary computation is emerging as a novel engineering computational paradigm, which plays a significant role in several optimization problems. Job-shop scheduling problem (JSSP) is one among the common NP-hard combinatorial optimization problems. The JSSP is defined as allocation of machines for a set of jobs over time in order to optimize the performance measure satisfying certain constrain...Show More

A methodology to schedule and optimize job shop scheduling using computational intelligence paradigms

P RA Mohana Raajan;P Surekha;S Sumathi

Year: 2010 | Conference Paper |

Atificial neural network application for control of STATCOM in power systems for both voltage control mode and reactive power mode

S. Sumathi;Bansilal

2009 International Conference on Power Systems
Year: 2009 | Conference Paper |
Cited by: Papers (5)
Power system voltage control and voltage stability are emerging as major problems in the day-to-day operation of stressed power systems. STATCOM is an important voltage source converter FACTS device, which can be used in voltage control mode or reactive power injection mode. For stable operation and control of power systems it is essential to provide real time solution to the operator in energy co...Show More

Atificial neural network application for control of STATCOM in power systems for both voltage control mode and reactive power mode

S. Sumathi;Bansilal

Year: 2009 | Conference Paper |

Efficient Finger Print Image Classification and Recognition using Neural Network Data Mining

K. Umamaheswari;S. Sumathi;S.N. Sivanandam;K.K.N. Anburajan

2007 International Conference on Signal Processing, Communications and Networking
Year: 2007 | Conference Paper |
Cited by: Papers (4) | Patents (1)
This paper deals with the fingerprint classification and recognition system, which consists of extracting and matching of minutiae from the input image. The necessity for security in fields such as improving airport security, strengthening the national borders, in travel documents, in preventing ID theft has brought the need to develop an able and efficient method for correct classification of per...Show More

Efficient Finger Print Image Classification and Recognition using Neural Network Data Mining

K. Umamaheswari;S. Sumathi;S.N. Sivanandam;K.K.N. Anburajan

Year: 2007 | Conference Paper |

Neuro - Genetic approaches to classification of Face Images with effective feature selection using hybrid classifiers

K. Umamaheswari;S. Sumathi;S.N. Sivanandam

2006 International Conference on Advanced Computing and Communications
Year: 2006 | Conference Paper |
Cited by: Papers (4)
The ever-increasing volume in the collection of image data in various fields of science, medicine, security and other fields has brought the necessity to extract knowledge. Face classification/recognition is one of the challenging problems of computer vision. The use of Data mining techniques has a legitimate and enabling ways to explore these large image collections using neuro-genetic approaches...Show More

Neuro - Genetic approaches to classification of Face Images with effective feature selection using hybrid classifiers

K. Umamaheswari;S. Sumathi;S.N. Sivanandam

Year: 2006 | Conference Paper |

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