Varalakshmi R
@sdnbvc.edu.in
Scopus Publications
- AI-driven predictive analytics for enhancing automotive safety in financial risk assessments in cloud data
G. V. Radhakrishnan, R. Varalakshmi, Namrata Kapoor Kohli, Sarvagya Jha, S. Sruthi, Suraj Prakash Singh
Embracing the Cloud as A Business Essential, 2025
Prediction technologies based on AI drive crucial automotive safety and financial risk assessment which results in minimizing losses as well as increasing road safety. A Hybrid AI-Econometrics Model which merges machine learning algorithms with econometric systems serves as the main proposal to estimate and quantify economic consequences linked to automotive accidents. TensorFlow performs deep learning operations within the framework alongside Statsmodels to analyze telematics data, insurance claims data and macroeconomic data for determining risks of accidents and their connected financial costs. The model uses deep learning algorithms to find patterns in accidents before calculating financial risk through GARCH (Generalized Autoregressive Conditional Heteroskedasticity) and Vector Autoregression The model provides both accurate predictions and understandable results which make it acceptable for various users including insurers and governmental agencies and automotive industries. The research shows better assessment capabilities as the model enhances protective driving environments - Prominent ferroelectric properties in multilayered TiO2 Mn-doped BiFeO3 spin-coated thin films
Arumugasamy Sathiya Priya, Deivasigamani Geetha, Durga Prasad Pabba, Radhamanohar Aepuru, Ștefan Țălu, Rajan Varalakshmi
Ferroelectrics, 2024
The study investigates the effects of doping on the leakage current and ferroelectric properties of bismuth ferrite (BiFeO3) thin film-based heterostructures. The spin coating method has been employed to deposit thin films of BiFeO3 and heterostructures of TiO2/BiFeO3 and TiO2/BiFe0.95Mn0.05FeO3 on fluorine-doped tin oxide substrates. The ferroelectric behavior of the TiO2/BiFe0.95Mn0.05FeO3 films exhibited better ferroelectric hysteresis loop compared to the other prepared films. The ferroelectric behavior reveals the TiO2/BiFe0.95Mn0.05FeO3 heterostructure showed a significantly lower leakage current density compared to both the BiFeO3 thin film and TiO2/BiFeO3 heterostructure, and the TiO2/BiFe0.95Mn0.05FeO3 heterostructures are likely suitable for solar cell applications. - H∞ Static Output-Feedback Control with Variable Substitution Scheme for Non-Stationary Running Active Suspension Vehicle
A. Arivazhagan, K. Arunachalam, R. Varalakshmi, B. Vasanthan
International Journal of Vehicle Structures and Systems, 2023
In this study, a static output-feedback controller with variable substitution technique is designed to investigate the performance of non-stationary running active suspension. Established non-stationary random road conditions are augmented into the half-car active suspension vehicle system to structure the model as required. Then, the control problem is formulated by properly choosing the controlled and constrained outputs. The vehicle body vertical and angular accelerations are quantified as controlled output, whereas the suspension rattle space, ride safety and actuator limitation are grouped as constrained output. With the aid of variable substitution and linear matrix inequalities (LMIs), the H∞ static output-feedback control (SOFCWVS) is derived. Eventually, the controller will be designed with a special sparsity constraint. The designed controller is applied to the proposed vehicle model and the model responses are compared in the time domain under various controllers. For the time-domain investigation, a non-stationary random road with a class-C profile is utilized. From the simulation results, it is observed that SOFCWVS enhanced the ride comfort more than other control schemes with guaranteed time-domain constrained outputs. - COVID 2019 – ROLE OF FACULTY MEMBERS TO KEEP MENTAL ACTIVENESS OF STUDENTS
R. Varalakshmi, K. Arunachalam
Asian Journal of Psychiatry, 2020 - Covid-19 lock down: People psychology due to law enforcement
R. Varalakshmi, R. Swetha
Asian Journal of Psychiatry, 2020 - Mapping of corona virus transmission in India with a mathematical approach
International Journal on Emerging Technologies, 2020 - Digital steganography for preventing cybercrime using artificial intelligence technology
Journal of Critical Reviews, 2020
Steganography is a process of hiding data into an image, audio, video or text file. The word Steganography is obtained from Greek: stegos means to cover and grayfia, means writing. i.e. covered writing. The main objective is to protect the sensitive data against the malicious attack. The present paper discuss the steganography used to embedded data in an image file. The text can be encoded in an image and the modified image is to be sent to the authorized person. This prevents the secret data from outside attacks tried by cybercriminals. After receiving the image, the person will decode the image and obtain the confidential information. The proposed embedded algorithm is based on Artificial Intelligence (AI) technology. The encryption and decryption are done using MATLAB. - A survey on big data applicability in prediction using absence information for workforce management
International Journal of Recent Technology and Engineering, 2019 - Lightweight algorithms for low powered iot devices comparative analysis
International Journal of Recent Technology and Engineering, 2019 - A review on plant leaf disease identification and classification
Journal of Advanced Research in Dynamical and Control Systems, 2019 - Saccharum officinarum crop based unstructured data processing
International Journal of Mechanical and Production Engineering Research and Development, 2018 - An optimized feature selection using fuzzy mutual information based ant colony optimization for software defect prediction
G Manivasagam, R Gunasundari
International Journal of Engineering and Technology Uae, 2018 - Cloud computing security framework for banking sector
International Journal of Mechanical and Production Engineering Research and Development, 2018 - Analysis of embryo grading using inner cell mass morphology
Biomedicine India, 2017 - Analysis of trophectoderm and inner cell mass morphology to predict human embryo grades
Biomedicine India, 2017 - Arachis hypogaea farm fertilization using huddle Hierarchy with robustness against nutrient deficiency
Ecology Environment and Conservation, 2017 - A study on output performance of NoSQL data processing over RDBMS in big data
Journal of Engineering and Applied Sciences, 2017 - Dynamic drip irrigation with limited water resource in Musa Acuminata farm cultivation
Research Journal of Pharmaceutical Biological and Chemical Sciences, 2016 - Application of image processing techniques in weed detection for crop production
Research Journal of Pharmaceutical Biological and Chemical Sciences, 2016 - Huffman based conditional access system for key distribution in digital TV multicast
R. Varalakshmi, V. Rhymend Uthariaraj
Multimedia Tools and Applications, 2015 - Huddle hierarchy based group key management protocol using gray code
R. Varalakshmi, V. Rhymend Uthariaraj
Wireless Networks, 2014 - Design of Group hierarchy system for multicast communication
Journal of Theoretical and Applied Information Technology, 2013 - A new secure multicast group key management using gray code
R. Varalakshmi, V. Rhymend Uthariaraj
International Conference on Recent Trends in Information Technology Icrtit 2011, 2011
