Dr. N.Suthanthira Vanitha

RESEARCH, TEACHING, or OTHER INTERESTS

Engineering, Electrical and Electronic Engineering, Biomedical Engineering, Renewable Energy, Sustainability and the Environment

Scopus Publications

Combined localization and clustering approach for reduced energy presumption in heterogeneous IoT
Jasmine Xavier A, Suthanthira Vanitha N, Sudha G, and Birunda M
IOP Publishing
Abstract The field of H-IoT is emerging with enormous potential to empower various technologies. Smart cities and advanced manufacturing are a few of the fields where H-IoT is currently used. The issue with H-IoT is its heavy energy consumption while transmitting data, which makes scaling difficult. To overcome such issues, a hybrid approach of Crayfish Optimization (CFO) with FCM and Restricted Boltzmann Machine (RBM) with Soft Sign Activation (SSA) has been proposed. Initially, Node initialization lays the foundation by configuring individual sensor nodes for network participation. After initialization, Fuzzy C Means clustering optimizes data aggregation by categorizing nodes into clusters based on similarity. Gathering Neighbor Node Traffic Data (NNTD) provides insights into communication patterns. Based on the threshold of NNTD, node localization is performed that enhances network accuracy by pinpointing sensor node locations. Integration of CFO into clustering, along with localization further improves cluster head selection for optimal data routing. Classification through the RBM with SSA function enhances anomaly detection, combining data analysis for optimizing energy utilization in heterogeneous IoT environments. The ‘combined CFO-FCM and SSA-RBM’ has been implemented in MATLAB and achieved an accuracy of 94.50%. As a result, the overall performance of the system is improved.


A review of artificial emotional intelligence for human-computer interactions: Applications and challenges
N. Suthanthira Vanitha, B. Niranjana Devi, A. Karthikeyan, K. Radhika, D. Anbuselvi, and S. Grace Infantiya
IGI Global
In recent years, the attention towards artificial emotional intelligence (AEI) replicates complex human ability in artificial intelligence systems for researchers. With the integration of emotional intelligence in artificial intelligence is to revolutionize human-computer interactions, more intuitive and simulate human emotions. AEI assimilates various algorithms like natural language processing, machine learning, deep learning, and computer vision. In order to detect emotional changes, these techniques are employed, where the accuracy rate varies with the implementation of predictable emotion recognition. It is crucial to attend the challenges and ethical concerns associated with emotionally intelligent AI. Harnessing the power of AI is to enhance our lives and foster human-computer relationships. This chapter reviews the most effective and versatile emotion recognition applications and challenges to enhance human-computer interaction in diverse domains.


Eco-friendly smart agricultural process using artificial intelligence: Economic benefits
K. Gunasekaran, Sampath Boopathi, S. Suresh, P. Suresh, N. Suthanthira Vanitha, and K. Radhika
IGI Global
The integration of eco-friendly practices with smart agricultural processes, facilitated by artificial intelligence (AI), offers significant economic benefits to the agricultural sector. This approach optimizes resource utilization, mitigates environmental impact, and streamlines operations. The benefits include cost savings, enhanced efficiency, and increased yields, while promoting environmental stewardship. The economic implications for stakeholders across the agricultural value chain, including farmers, suppliers, and consumers, are also discussed. Case studies and empirical evidence demonstrate how AI-driven smart agriculture drives economic growth, fosters resilience, and contributes to long-term sustainability goals. The chapter highlights the transformative potential of this convergence and its potential to drive economic growth and sustainability. The chapter explores the benefits of AI-driven smart agriculture, including cost savings, increased efficiency, and increased yields, while promoting environmental stewardship.


Design and experimental analysis of novel window mill vertical axis wind turbine
N. Suthanthira Vanitha, L. Manivannan, A. Karthikeyan, K. Radhika, and T. Meenakshi
Inderscience Publishers



A Review of Electric Vehicles: Technologies and Challenges




Hybrid Electrical Vehicle Designs




NanoTechnology in cosmetics and cosmeceuticals: Future direction and safety
N. Suthanthira Vanitha, K. Radhika, G. Sudarmozhi, G. Kavitha, and M. Shenbagapriya
IGI Global
Nanotechnology has the potential to generate innovation in formulations and delivery systems. Due to its rapid technological development, it has widely been exploited for diagnostic and therapeutic purposes. Cosmetic formulations incorporating nanotechnology seems to be a most promising research area. The role of nanoparticles in cosmetic applications has shown promising signs to overcome the problems associated with conventional cosmetics. Insertion of nanomaterials helps to improve product efficacy and consumer satisfaction which leads to the replacement of many traditional cosmeceuticals with Nanocosmeceuticals. Nanotoxicological studies on Nanocosmeceuticals have elevated concerns in terms of health hazards due to their potential skin penetration resulting in toxic effects. This chapter discusses various nanotechnology approaches employed in the delivery of cosmetics as well as cosmeceutical products. Further, it depicts the benefits, potential health, future direction, safety, and an overview of Nanocosmetics and Nanocosmeceuticals applications in cosmetic industries.


Applications of nanofluids in healthcare: Future perspectives
K. Radhika, N. Suthanthira Vanitha, D. Anitha, K. Bashkaran, and K. Shemalaa Ganthi
IGI Global
Advancement of nanotechnology leads to the creation of innovation in nanostructures which are characterized by their explorative utilization in a variety of applications in biosciences. Nanofluid technology is an interdisciplinary field, where nanoscience, nanotechnology, and thermal engineering have enhanced over the past decades. The diagnosis and therapeutic aspects of diseases are found to be improved very efficiently in drug delivery platform by using nanofluids. Nanofluids contain novel properties which are potentially employed in several applications like biotechnology, national security and defense, food and agriculture, information technology, aerospace, plastics and textile industries, energy and environment, cosmetics, and health and medicine. This chapter discusses the future perspectives and applications of nanofluids.


Electric Vehicle Battery Charging in Grid System using Fuzzy based Bidirectional Converter
A. Karthikeyan, N. Suthanthira Vanitha, T. Meenakshi, R. Ramani, and S. Murugan
IEEE
The implementation of electric vehicles (EVs) into photovoltaic (PV) grid systems has received a lot of interest as the globe moves towards a more sustainable energy environment. When it comes to electric transportation, battery charging and recharging are crucial because of the impact they have on the vehicle’s dynamic performance. Using a fuzzy-based bidirectional converter in a PV grid system, this research proposes a unique technique to increase the efficiency with which EV batteries are charged. With its fuzzy logic controller (FLC), the bidirectional converter optimizes charging and discharging operations by controlling the flow of electricity between the PV array, the EV battery, and the grid. In this research, the FLC, a flexible system that can adjust to different settings and loads, is examined in depth. The result shows the enhanced efficacy of the suggested system in terms of charging speed, energy efficiency, and grid interaction via modeling and experimental data. The described method shows possibilities for facilitating the incorporation of EVs into grids powered by renewable energy sources (RES), thereby making transportation systems greener and more sustainable.


Power Quality Monitoring of a Photovoltaic System Through IoT
T. Meenakshi, R. Ramani, A. Karthikeyan, N. Suthanthira Vanitha, and S. Murugan
IEEE
The stability and dependability of the grid are of crucial importance as the integration of photovoltaic (PV) systems into electricity grids gathers momentum. Because of their bidirectional power flow and intermittent energy production, PV grid systems present a variety of issues when it comes to power quality (PQ). Effective grid management and stability are limited by the fact that conventional monitoring techniques have difficulties in providing real-time insights into harmonics, voltage stability, and transient disturbances. PV grid systems can only function at peak efficiency if the electricity being transmitted and distributed is of the best possible quality. To address the challenge of power quality monitoring in PV grid systems, this research provides an innovative strategy utilizing Internet of Things (IoT) devices and incremental conductance (IC) Maximum Power Point Tracking (MPPT). Grid operators can immediately identify deviations and problems because of the system's continuous, real-time monitoring of vital power quality metrics, made possible by the IoT. The technology provides predicted insights into power quality fluctuations by analyzing past data and patterns, which improves grid stability and resource allocation. The PV grid system is implemented in Matlab tool and PQ variations may be accurately predicted using historical data, improving grid stability and resource utilization. The study's results will aid in the efficient incorporation of renewable energy sources into the grid by assuring optimum power quality in PV grid systems.


IoT-Integrated Wearable Skin Sensors for UV Exposure Monitoring and Sun Protection
R. Ramani, T. Meenakshi, N. Suthanthira Vanitha, A. Karthikeyan, and S. Sujatha
IEEE
This study explores the design and implementation of Internet of Things (IoT)-enabled skin sensors for tracking UV exposure. It describes the planning, construction, and performance of the skin-mounted sensors. The sensors detect UV radiation in real time; it can monitor a person's exposure to the sun. This information is subsequently sent to IoT platforms for analysis and response. The IoT enables the remote collection of data, analysis, and personalized recommendations for sun safety measures. The research emphasizes the significance of UV exposure understanding in avoiding sunburn and skin cancer. The proposed system takes a preventative approach to sun protection by using wearable skin sensors and IoT to enable consumers to make informed choices regarding their outdoor activities and sun exposure patterns. The potential of such technology to improve public health and increase awareness of UV-related hazards is emphasized.


Improved Ant Colony Optimization and Machine Learning Based Ensemble Intrusion Detection Model
S. Vanitha and P. Balasubramanie
Computers, Materials and Continua (Tech Science Press)



Wide-area measurement systems and phasor measurement units
M. Maheswari, N. Suthanthira Vanitha, and N. Loganathan
Springer International Publishing



Role of smart metering and implementation issues in smart grid
Maheswari Maruthakutti, Loganathan Nachimuthu, and Suthanthira Vanitha N.
IGI Global
Smart grid provides the digital technology that allows for two-way communication between the utility and the customers. The smart grid consists of controls, computers, automation, and new technologies and equipment working together. The smart grid will move the energy industry into a new era of reliability, availability, and efficiency with economic and environmental health. A smart meter plays a major role in the smart grid and it is an electronic device that measures and records the energy consumption. It enables two-way communication between the meter and the supplier through advanced metering infrastructure (AMI). The mode of communication is enabled by either wireless or wired. The wireless communication includes Wi-Fi, wireless mesh networks, Zig Bee, cellular communications, and low power range Wi-Fi. This chapter deliberates about the evolution of electricity metering, major components of smart meter, communication infrastructure and protocols for smart metering, demand-side integration, recent developments, issues faced and solutions, merits and demerits.


Copper (0) mediated single electron transfer-living radical polymerization of Methyl Methacrylate: Functionalized Graphene as a convenient tool for radical initiator
Adhigan Murali, Srinivasan Sampath, Boopathi Appukutti Achuthan, Mohan Sakar, Suryanarayanan Chandrasekaran, N. Suthanthira Vanitha, R. Joseph Bensingh, M. Abdul Kader, and Sellamuthu N. Jaisankar
MDPI AG
Polymer nanocomposites have been synthesized by the covalent addition of bromide-functionalized graphene (Graphene-Br) through the single electron transfer-living radical polymerization technique (SET-LRP). Graphite functionalized with bromide for the first time via an efficient route using mild reagents has been designed to develop a graphene based radical initiator. The efficiency of sacrificial initiator (ethyl α-bromoisobutyrate) has also been compared with a graphene based initiator towards monitoring their Cu(0) mediated controlled molecular weight and morphological structures through mass spectroscopy (MOLDI-TOF) and field emission scanning electron microscopy (FE-SEM) analysis, respectively. The enhancement in thermal stability is observed for graphene-grafted-poly(methyl methacrylate) (G-g-PMMA) at 392 °C, which may be due to the influence ofthe covalent addition of graphene, whereas the sacrificial initiator used to synthesize G-graft-PMMA (S) has low thermal stability as analyzed by TGA. A significant difference is noticed on their glass transition and melting temperatures by DSC. The controlled formation and structural features of the polymer-functionalized-graphene is characterized by Raman, FT-IR, UV-Vis spectroscopy, NMR, and zeta potential measurements. The wettability measurements of the novel G-graft-PMMA on leather surface were found to be better in hydrophobic nature with a water contact angle of 109 ± 1°.


A Novel Cluster Based Routing Protocol in Delay Tolerant Networks for Consistency and Energy Efficiency
Balaji R, Vigneshwar Manokar, Nandhini V M, S. Shankar, S. Vanitha, and Sakila Banu Ali
IEEE
This propaganda of research implied in this progress would be arised by introducing the clustering scheme in a very poignant distribute manner. This method is very high responsive enough in order to bring up an efficient Cluster acting as the base for the designing up of the Routing protocol for the Delay Tolerant Mobile Networks. This research proposes with an approach that they are clustered into a group. The design of the kind of networks is as: 1) Distributively grouped into mobile nodes 2) The grouping up of the nodes is based on similarity pattern. 3) The similarity of the pattern is it should have a definite cluster of fixed size. The result of such implications is to - reduce the overheads based on the parameters and its constraints, secondly – balancing of the loads implied. They share the resources and perform the same. This would enhance and aim in bringing out an efficient and a enhanced routing scaled up to its standard and hence the routing is aimed to achieve a routing protocol based on exponentially Weighted moving area shortly know an as the EWMA. This one gives the details about the nodal contact it occurs and mathematical probability amongst the nodes themselves, using the weighted mean with the clusters formed. The clusters what were formed using the functions such as Sync (), Leave () and Join (). The defined number of nodes in a particular cluster need to be defined and must be greater or exceeding the optimum value the of nodes allotted for a particular cluster. Finally, some of the gateway nodes group the network information form the other gateways and determines a routing table which are all required in that particular nodes or stipulated nodes in that cluster, so as to determine the moving weighted average and perform the routing process. The results obtained from the simulations revealed the static clusters for improving the sharing of the resource capacity and decreases the memory requirement of then nodes, thus making the computations of the Routing table gets easier for access and at a faster pace too. The consistency of clusters gets improved by making the moving node to inform to its neighbours about its movement from the cluster. The use of Cluster connectivity modification packet (CCMP) is that it would bring down the traffic of the network and would calculate the computation table for shortest path route easier. From the above, one would be able to obtain greater delivery ratio values at a predominantly lesser overhead and the delay in the nodes when reaches end to end. They are poignant enough in achieving this feat when comparing the results obtained from the non – clustered algorithms.


Stability analysis of quadrotor using state space mathematical modeling
N. Suthanthira Vanitha, L. Manivannan, T. Meenakshi, and K. Radhika
Elsevier BV
Abstract Quadrotor, a small remote-controlled aircraft with four blades, has been a vital role to perform variety of tasks from the air. Quadrotor controller design and its modeling is a well-known field of research and is used in many civil and military applications, security purpose and filmmakers for aerial camera and videography. Most of the researchers have differently approached on quadrotor’s control and design modeling. The main aim of this paper is to model the quadrotor using state space mathematical expressions to analyse the stability of quadrotor. The state space mathematical modeling simplifies the implementation of control techniques on dynamics of quadrotor. This modeling computes the equilibrium points to analyse the stability and plant interaction of the system. The simulation results are presented using the state variables.


Modelling of intelligent transportation system for human safety using IoT
N. Suthanthira Vanitha, J. Karthikeyan, G. Kavitha, and K. Radhika
Elsevier BV



Parametric impact analysis on transformer based dual output Quasi Z DC-DC converter
T. Meenakshi, N. Suthanthira Vanitha, K. Radhika, and M. Maheshwari
Elsevier BV
Abstract This paper presents the performance study of new Dual Output Quasi Z Trans DC-DC converter. The conventional Z source DC-DC converter is modified in the circuitry to generate dual output voltage which could be fed as input to the cascaded multilevel inverters feeding the renewable energy systems. This reduces source count requirement of the cascaded multilevel inverters and efficient operation is obtained by controlling the duty ratio of the converter. The proposed converter is studied for different switching frequencies and duty ratios to identify the optimum value. The circuit model of the proposed DC-DC converter is built in MATLAB /Simulink to analyze the performance and the prototype hardware is developed to validate the findings. The results are discussed and is compared with the literature findings.


Energy efficient secure clustering and intrusion detection with resource utilization in mobile adhoc networks
A. D. Khamalakhannen and Suthanthira Vanitha
IEEE
The mobile nodes in Mobile Ad-Hoc Network (MANET) are heterogeneous and communicate each other without centralized access point and administration. Ensuring the secure communication between the clusters is tough because of the changing wireless network environment. In recent clustering algorithm the energy minimization is not handled effectively, also due to the dynamic and distributed nature of network security in the network holds narrow research problems. Our protocol improves the efficient clustering process which reduces the number of hops to transmit the information which decreases the energy consumption. Security in terms of IDS detection and key management improved when compared with existing protocols. We consider the channel usage time allocation to minimize the interference to improve the network transmission. To illustrate the efficiency of the proposed protocol we present simulations using NS-2. Simulation results show that significant reduction in the energy and makes improvement in control packet overhead and delivery ratio as compared to existing protocols.


The improved performance of mobile adhoc network using genetic algorithm and other methods
A. D Khamalakhannen and Suthanthira Vanitha
American Scientific Publishers



Design of energy efficient multilevel inverter for photovoltaic based rural pump drive applications




Modified multilevel quasi z inverter for solar irrigation systems with improved control technique
T. Meenakshi and N. Suthanthira Vanitha
IEEE
This paper presents the implementation of Dual voltage control in new modified Quasi Z Source inverter applied for solar water pumping systems. The new two stage inverter produces buck/boosted multi-level AC voltage with reduced circuitry, minimized inrush current and mitigated harmonics. During climatic disturbances, the proposed new topology can execute dual control over the inverter voltage and maintains a steady performance of the water pump. Operating conditions are set to have an effective smooth control over the voltage on both DC and AC side with minimized switching losses in the system. Mathematical modeling and simulations are performed in MATLAB/Simulink to analyze the effectiveness of the proposed dual control with solar water pump model. Experimentation is carried out on a prototype model to validate the performance.


Feature selection optimization using artificial immune system algorithm for identifying Dementia in MRI images
S. Valarmathy and N. Suthanthira Vanitha
American Scientific Publishers



Modeling and simulation of novel stepped DC coupled quasi Z-Multilevel Inverter for single phase systems
T. Meenakshi and N. Suthanthira Vanitha
Walter de Gruyter GmbH
Abstract This paper presents the modeling and simulation of a novel topology of quasi Z-Multilevel Inverter with stepped DC input. The proposed inverter incorporates a simple switching technique with reduced component count and is aimed at producing boosted multilevel output AC voltage. The inverter consists of two stages and the buck /boost operation is obtained by varying the shoot through period of the pulses obtained by maximum constant boost control with third harmonic injection. With all the advantages of the quasi Z-network, the proposed inverter eliminates the fly back diodes and capacitors present in a conventional Z-Multilevel Inverter. Further the stress on the devices is less which leads to reduction in component value and hence the cost. The novel stepped DC coupled Single Phase quasi Z-Multilevel Inverter is modeled and simulated in the MATLAB - SIMULINK environment and its performance is analyzed for varying input and switching conditions. The voltage and current waveforms across each stage of the inverter is analyzed and the results are presented for different levels of input.

RECENT SCHOLAR PUBLICATIONS

A Review of Electric Vehicles: Technologies and Challenges
NS Vanitha, L Manivannan, K Radhika, A Karthikeyan, T Meenakshi
Electric Vehicle Design: Design, Simulation and Applications, 81-99 2024



Hybrid Electrical Vehicle Designs
T Meenakshi, K Mahendran, NS Vanitha, C Shanmugam
Electric Vehicle Design: Design, Simulation and Applications, 197-214 2024



Development and characterization of cellulose acetate-based Li-ion conducting membrane and its application in energy storage devices
C Shanmugapriya, S Selvasekarapandian, N Vanitha, SA Hazaana, ...
Ionics 30 (2), 799-817 2024



Design and experimental analysis of novel window mill vertical axis wind turbine
NS Vanitha, L Manivannan, A Karthikeyan, K Radhika, T Meenakshi
International Journal of Engineering Systems Modelling and Simulation 15 (6 2024



A Review of Artificial Emotional Intelligence for Human-Computer Interactions: Applications and Challenges
NS Vanitha, BN Devi, A Karthikeyan, K Radhika, D Anbuselvi, ...
Harnessing Artificial Emotional Intelligence for Improved Human-Computer 2024



Eco-Friendly Smart Agricultural Process Using Artificial Intelligence: Economic Benefits
K Gunasekaran, S Boopathi, S Suresh, P Suresh, NS Vanitha, K Radhika
Reshaping Environmental Science Through Machine Learning and IoT, 160-175 2024



Electric Vehicle Battery Charging in Grid System using Fuzzy based Bidirectional Converter
A Karthikeyan, NS Vanitha, T Meenakshi, R Ramani, S Murugan
2023 3rd International Conference on Innovative Mechanisms for Industry 2023



IoT Enhanced Induction Motor Drive in Electric Vehicle Propulsion Using Field Oriented Control
NS Vanitha, A Karthikeyan, R Ramani, T Meenakshi, S Sujatha
2023 7th International Conference on Electronics, Communication and 2023



Power Quality Monitoring of a Photovoltaic System Through IoT
T Meenakshi, R Ramani, A Karthikeyan, NS Vanitha, S Murugan
2023 International Conference on Sustainable Communication Networks and 2023



IoT-Integrated Wearable Skin Sensors for UV Exposure Monitoring and Sun Protection
R Ramani, T Meenakshi, NS Vanitha, A Karthikeyan, S Sujatha
2023 International Conference on Self Sustainable Artificial Intelligence 2023



Synthesis of biopolymer electrolyte using sodium alginate with ammonium perchlorate (NH₄ClO₄) for the application of electrochemical devices
N Vanitha, C Shanmugapriya, S Selvasekarapandian, NM Vignesh, ...
Ionics 29 (10), 4037-4054 2023



Applications of Nanofluids in Healthcare: Future Perspectives
K Radhika, NS Vanitha, D Anitha, K Bashkaran, KS Ganthi
Sustainable Utilization of Nanoparticles and Nanofluids in Engineering 2023



NanoTechnology in Cosmetics and Cosmeceuticals: Future Direction and Safety
NS Vanitha, K Radhika, G Sudarmozhi, G Kavitha, M Shenbagapriya
Sustainable Utilization of Nanoparticles and Nanofluids in Engineering 2023



Artificial intelligence techniques in water purification and utilization
S Vanitha, K Radhika, S Boopathi
Human Agro-Energy Optimization for Business and Industry, 202-218 2023



Nanomedicine in healthcare: Impact and challenges for future generation
K Gunasekaran, NS Vanitha, K Radhika, P Suresh
Networking Technologies in Smart Healthcare, 251-267 2022



Effect of graphene quantum dot on sodium alginate with ammonium formate (NH₄HCO₂) biopolymer electrolytes for the application of electrochemical devices
N Vanitha, C Shanmugapriya, S Selvasekarapandian, RM Naachiyar, ...
Ionics 28 (6), 2731-2749 2022



Investigation of N–S-based graphene quantum dot on sodium alginate with ammonium thiocyanate (NH₄SCN) biopolymer electrolyte for the application of
N Vanitha, C Shanmugapriya, S Selvasekarapandian, MV Krishna, ...
Journal of Materials Science: Materials in Electronics 33 (18), 14847-14867 2022



A Review on Green Polymer Binder-based Electrodes and Electrolytes for All Solid-State Li-ion Batteries
DNSV al
International Association of Advanced Materials,DOI: 10.5185/aml.2022.4140 2022



IoT‐based intelligent transportation system for safety
N Suthanthira Vanitha, K Radhika, M Maheshwari, P Suresh, ...
Cloud and IoT‐based vehicular ad hoc networks, 47-65 2021



Prediction-Based Location Management using Backpropagation in Wireless Communication
GS Dr.N.SuthanthiraVanitha,Dr
Journal of Emerging Technologies and innovative Research 8 (3), 946-953 2021

MOST CITED SCHOLAR PUBLICATIONS

Vehicle Tracking and Looking System Based on GSM and GPS
T Ramani, S Valarmathy, N SuthanthiraVanitha
International Jourrnal of Intelligent Systems and Applications(IJISA) 5 (9), 86 2013
Citations: 186



The Pre-Processing Techniques for Breast Cancer Detection in Mammography Images
S. Valarmathy,N. Suthanthira Vanitha,R. Ramani
I.J. Image, Graphics and Signal Processing 5, 47-54 2013
Citations: 175



GSM based Automated Irrigation Control using Raingun Irrigation System
D Suresh,Suthanthira Vanitha,Gopinath, Govindaraju
International Journal of Advanced Research in Computer and Communication 2014
Citations: 122



Artificial intelligence techniques in water purification and utilization
S Vanitha, K Radhika, S Boopathi
Human Agro-Energy Optimization for Business and Industry, 202-218 2023
Citations: 104



Model and design of a fuzzy-based Hopfield NN tracking controller for standalone PV applications
N. Suthanthiravanitha,R. Arulmurugan
Electric Power Systems Research 2014
Citations: 80



Optimal Design of DC to DC Boost Converter with Closed Loop Control PID Mechanism for High Voltage Photovoltaic Application
N.Suthanthira vanitha,R.Arulmurugan
International Journal of Power Electronics and Drive System (IJPEDS) 3, 336~343 2013
Citations: 49



Power Quality Monitoring of a Photovoltaic System Through IoT
T Meenakshi, R Ramani, A Karthikeyan, NS Vanitha, S Murugan
2023 International Conference on Sustainable Communication Networks and 2023
Citations: 48



Intelligent fuzzy MPPT controller using analysis of DC to DC novel buck converter for photovoltaic energy system applications
R Arulmurugan, NS Vanitha
2013 International Conference on Pattern Recognition, Informatics and Mobile 2013
Citations: 42



Automatic Rationing System Using Embedded System Technology
N Suthanthira Vanitha,Sukhumar, Gopinathan, Kalpanadevi
International Journal of Innovative Research in Electrical, Electronics 2013
Citations: 37



Electric Vehicle Battery Charging in Grid System using Fuzzy based Bidirectional Converter
A Karthikeyan, NS Vanitha, T Meenakshi, R Ramani, S Murugan
2023 3rd International Conference on Innovative Mechanisms for Industry 2023
Citations: 31



Identification of Open-Switch and Short-Switch Failure of Multilevel Inverters through DWT and ANN Approach using LabVIEW
E.Parimalarsundar, N.Suthanthiravanitha
Journal of Electrical Engineering Technology 10, 1921-718 2015
Citations: 28



Breast Cancer Detection in Mammograms based on Clustering Techniques- A Survey
N.Suthanthira vanitha, T.Ramani
International Journal of Computer Applications 57 (8 Impact Factor: 0.8) 2013
Citations: 28



Automatic Intravenous Fluid Level Indication System for Hospitals
R.Priyadharshini, S.Mithuna, U.Vasanth Kumar, S.Kalpanadevi ,N.Suthanthira ...
International Journal for Research in Applied Science & Engineering 2015
Citations: 27



Improved Fractional Order VSS Inc-Cond MPPT algorithm for Photovoltaic Scheme
N.Suthanthira vanitha,R.Arulmurugan
International Journal of Photoenergy, Article ID 128327, 10 2014
Citations: 25



Computer A ided Detection of Tumours in Mammograms
N.Suthanthira vanitha, T.Ramani
International Journal of Image, Graphics and Signal Processing (IJIGSP) 6 (4 2014
Citations: 22



Maximum power tracking for PV generating system using novel optimized fractional order open circuit voltage-FOINC method
N.Suthanthira vanitha,R.Arulmurugan
Computer Communication and Informatics (ICCCI), 2014 International 2014
Citations: 20



Rescue child from Bore well using embedded system
S Gopinath, T Devika, L Manivannan, NS Vanitha
International Research Journal of Engineering and Technology (IRJET) 2 (03 2015
Citations: 18



Embedded Based Real-time Patient Monitoring System
P.Karthick, M.Jagadeesh Raja , N.Suthanthira Vanitha
International Journal of VLSI and Embedded Systems-IJVES 5 (Article 02231) 2014
Citations: 15



Investigation of N–S-based graphene quantum dot on sodium alginate with ammonium thiocyanate (NH₄SCN) biopolymer electrolyte for the application of
N Vanitha, C Shanmugapriya, S Selvasekarapandian, MV Krishna, ...
Journal of Materials Science: Materials in Electronics 33 (18), 14847-14867 2022
Citations: 14



Wide-area measurement systems and phasor measurement units
M Maheswari, N Suthanthira Vanitha, N Loganathan
Wide Area power systems stability, protection, and security, 105-126 2021
Citations: 13