V ASHOK

@psvpec.in

ASSOCIATE PROFESSOR AND DEPARTMENT OF MECHANICAL ENGINEERING
PRINCE SHRI VENKATESWARA PADMAVATHY ENGINEERING COLLEGE

V ASHOK


               Download Compact PDF  
https://researchid.co/vashokphd

RESEARCH, TEACHING, or OTHER INTERESTS

Mechanical Engineering, Energy, Renewable Energy, Sustainability and the Environment, Waste Management and Disposal
17

Scopus Publications

Scopus Publications

  • Robust Control of Power System Frequency Regulation in Islanded Microgrids
    MS. Sjeyanthi, V. Ashok, A.H. Alkkhayat, Arti Rana, Sandeep Pandey, R. Senthil Kumar, D.G. Bhalke
    E3s Web of Conferences, 2024
    This paper reviews the work in the areas of robust control strategies for power system frequency regulation in islanded microgrids. One study delves into the challenges of accurate power sharing and voltage regulation in multi-feeder microgrid systems. It introduces an enhanced resilient control strategy that views the regulation and power balancing as a quadratic optimization problem. This strategy employs an impedance estimator and an optimal controller, focusing on voltage magnitude information transfer at each inverter’s controller. The approach is designed to be computationally efficient, especially for micro-networks with a large number of load feeders. Another area of focus is the development of a generalized central power management system and a decentralized, robust control strategy for autonomous operation of microgrids with multiple distributed energy resource (DER) units. These DER units, categorized into voltage-controlled and power-controlled units, operate based on independent internal oscillators synchronized by a GPS-based timereference signal. The power management system sets power and voltage points for each DER unit’s local controllers. A robust decentralized control system ensures fast tracking, zero steady-state error, and resilience against microgrid uncertainties. The performance of these strategies is validated through various simulation platforms and hardware-in-the-loop studies.
  • Understanding the Strengths and Limitations of AI for Data Access Optimization
    Manpreet Singh, Preeti Naval, Nagaraj Patil, Mohit Tiwari, V. Ashok, Shilpa M. Katikar
    2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, 2024
    Artificial Intelligence (AI) has emerge as an increasing number of famous in recent years due to its potential to learn from facts, make predictions, and automate decision-making techniques. Within the realm of facts get right of entry to optimization, AI algorithms are getting used to enhance the overall performance and performance of information storage, retrieval, and analysis. but, like every other generation, AI has its personal strengths and boundaries that need to be understood on the way to effectively utilize it for information get entry to optimization.one of the key strengths of AI is its capability to technique and examine massive amounts of facts speedy and as it should be. This is important in records get entry to optimization, wherein the speed and accuracy of records retrieval and evaluation is critical for choice-making. By the use of AI, companies can save time and sources that would in any other case be spent on manual records processing and evaluation. Additionally, AI has the potential to identify hidden patterns and correlations in facts that may not be obvious to humans. This may lead to extra efficient and powerful information get entry to strategies, as AI can find insights and traits which can were omitted through human analysts. This is particularly useful in complicated facts environments with high volumes of statistics.
  • Advanced Modulation and Coding Schemes for Increasing Throughput in Satellite Communications
    Dinesh Goyal, H S Shreenidhi, Vijaya N. Aher, A. Amudha, Yuvraj Parmar, V. Ashok
    2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, 2024
    Advanced modulation and coding schemes (AMCS) are techniques used to enhance the records charge and throughput in satellite to for pc communications links with the aid of taking benefit of multiplexing, errors correction, and forward error-correction techniques. AMCS are designed to beautify records transmission from the satellite to the receiving station, as well as from the ground station to the satellite. When a signal is sent through a satellite hyperlink, a top restriction to its statistics charge is reached due to elements which include sign-to-noise ratio and the quantity of interference detected. With a proper combination of modulation and coding strategies, but, this upper restrict can be prolonged, accordingly improving throughput and reliability. AMCS use modulation techniques to encode records whilst coding techniques are used to manipulate and verify information integrity between the source and the vacation spot. Modulation strategies permit records signals to skip thru a transmission channel, together with a satellite to for pc link, through converting the traits of the signal consisting of the amplitude, frequency, or section. Coding techniques make sure that records may be reliably transmitted over the hyperlink by using adding redundant information to the authentic message. Such redundant statistics is used to detect and accurate any errors inside the facts that could occur during the transmission technique.
  • Recent Advances, Challenges, and Applications of Deep Learning in Healthcare Systems for Medical Diagnosis and Treatment
    Ramesh Chandra Patra, G. Saritha, G. Ashish Raghuwanshi, P. Parthiban, V. Ashok
    Proceedings International Conference on Technological Advancements in Computational Sciences Ictacs 2023, 2023
    In the realm of healthcare, the integration of Deep Learning (DL) stands as a potent force, propelling advancements in medical diagnosis and treatment. This paper navigates recent strides, persistent hurdles, and emerging applications within this synergy. DL basics are elucidated initially, demonstrating neural networks' role in data analysis. Progressing further, we unveil DL's robust applications in medical diagnosis, particularly via Convolutional Neural Networks, revolutionizing image-based disease detection. Yet, this frontier is not devoid of challenges, encompassing data privacy concerns and model interpretability. In tandem, DL empowers personalized treatment by predicting disease trajectories and expediting drug discovery. Expanding horizons, DL streamlines healthcare management through resource optimization and digitized records. In conclusion, this synthesis of DL and healthcare signifies a transformative trajectory, promising refined diagnostics and patient-centric treatments, though not devoid of ethical and technical intricacies.
  • An Experimental Evaluation of Electrocardiogram Monitoring System Using Internet of Things and Intelligent Sensors Support
    Sethukarasi T, V.Samuthira Pandi, D. Karunkuzhali, V. Ashok, G Chamundeeswari, Deepa A
    2023 Annual International Conference on Emerging Research Areas International Conference on Intelligent Systems Aicera Icis 2023, 2023
    Patients in severe condition are treated at the Intensive Care Unit (ICU). In such life-or-death situations, doctors must have continuous access to vital signs including blood pressure, heart rate, and temperature. What's the deal with asthma, the planet, and salt levels? The manual process is excessively time- consuming, and when applied to a large number of patients, it becomes nearly impossible. This Internet of Things-based technology has the potential to implement automated network communication with medical professionals, keeping them fully informed at all times. The sensors in the ICU monitoring system for the Internet of Things ( IoT ) are controlled by an Arduino board. Networked sensors, either worn by the patient or installed in our homes, alter the inductive data collection of our physiological and mental states. A patient may be tracked around-the-clock with a smart health monitoring system based on the Internet of Things ( IoT ). One of the most noticeable uses of the Internet of Things in the present day is in health monitoring systems. In this research, the AD8232 signal conditioning module was presented as the basis for a wireless ECG monitoring system capable of collecting data in real time. The ESP32 will be linked up to the AD8232 ECG Sensor. Then, we'll get an Electrocardiogram (ECG) reading by attaching the leads to the patient's chest or hand. The measured value exceeded the set limit of the sensor. Users of this module of the healthcare system should expect to get an updated prescription for their current medical condition within minutes of any significant change in their health status. Doctors are informed of their patients' conditions on an LCD screen, which they may then use for further assessment. When a patient requires a hospital's Intensive Care Unit, a smart ICU may be used to keep tabs on vital signs including oxygen levels, heart rates, body temperatures and more.
  • Text Mining for Advanced Information Analysis and Decision Making
    Jagtej Singh, V. Ashok, Dharmesh Dhabliya, Vijay Kumar Pandey, Akhilendra Pratap Singh, K. Gopala Krishna
    Proceedings 2023 IEEE International Conference on Paradigm Shift in Information Technologies with Innovative Applications in Global Scenario Icpsitiags 2023, 2023
    Text mbuilt-inintegratedg is a sophisticated built-information analysis approach that enables customers to built-in valuable integrated sights from massive volumes of unstructured textual content records. it is built-in integrated bebuilting utilized by busbuiltintegrated to extract valuable choice-makbuilting built integrated from heterogeneous sources built-includes online remarks, blog posts, emails, and social media feeds. Text mintegratedbuilting makes use of powerful herbal language processintegratedg (NLP) techniques to version and extract built-inmeanbuiltintegrated records from textual content. It employs state-of-the-art algorithms and AI abilities to discover hidden trends, locate styles, and offer actionable built-insights. Through combbuilt-inintegratedg textual content built-inbuilt-in with advanced analytics, built-in can built-in a holistic view of their integrated customers, competition, and markets. Furthermore, textual content mbuilt-inintegratedg also helps a higher built-information of consumer sentiment, which could help organizations integrated makbuilting built-informed decisions.
  • Application of Adaptive Modulation Strategies for Enhancing Peak Bit Rates in High-Speed Fiber Optic Communication Networks
    Pravin R. Futane, Rakesh Kumar Yadav, Saniya Khurana, Amar Shankar, Abhijeet Kar, V. Ashok
    2023 3rd International Conference on Smart Generation Computing Communication and Networking Smart Gencon 2023, 2023
    Optical communication networks suffer from excessive peak bit quotes today's the physical and environmental constraints present day fiber optic cables. Adaptive modulation techniques offer a potential approach to the trouble with the aid of making an allowance for increased facts throughput with the aid of tailoring the information rate latest the signal to the channel's country. Those techniques have the ability to modify modulation formats and facts fees in real-time to optimize the height bit fee and universal throughput modern the network. This paper examines the software trendy adaptive modulation strategies for enhancing top bit prices in excessive-velocity fiber optic verbal exchange networks and evaluations the to be had strategies for fixing this hassle. The evaluation additionally critiques the present day adaptive modulation algorithms and their overall performance in terms modern-day top bit fee and throughput modern-day the verbal exchange networks. Finally, this paper affords an overview modern day several future research challenges important for further improvements in this discipline.
  • An Innovative Method to Predict Breast Cancer at Earlier Stage based on RAUNET Approach
    Ranjeet Kumar, Santosh Kumar Behera, Kalpana K, Amit V Kadam, V. Ashok, D. Suganthi
    International Conference on Sustainable Communication Networks and Application Icscna 2023 Proceedings, 2023
    Recent increases in healthcare spending have made early disease detection a pressing concern. The growth of populations has a direct correlation with the rising death toll from breast cancer. Breast cancer ranks second among the deadliest cancers the proposed approach knows about. An autonomous disease detection system minimizes the likelihood of fatalities by providing a rapid response from medical personnel who can effectively treat the condition. The proposed approach entails three steps: preprocessing, segmentation, and model training. The proposed approach employed a combination of Contrast Limited Histogram Equalization and Fuzzy Histogram Equalization as a preprocessing technique. More and more comprehensive segmentation regions are produced when numerous segmentation regions are connected. After accumulating the attributes, the models are trained with RA-UNet. The proposed technique outperforms its counterparts, including RLM and U-Net. The probability of this strategy succeeding is 97.36 percent.
  • Assessing the Efficiency of AI for Multivariate Data Analysis
    Jambi Ratna Raja Kumar, Mukesh Chaturvedi, D. ANandhasilambarasan, V. Ashok, Ashwini R. Nawadkar, Manoj Va
    2023 3rd International Conference on Smart Generation Computing Communication and Networking Smart Gencon 2023, 2023
    This study aimed to evaluate the efficiency of synthetic Intelligence (AI) for multivariate records analysis. Multivariate statistics evaluation is a complicated venture that historically requires considerable manual labor and information in information science and machine mastering. AI can offer an extra green and accurate method to the venture. Consequently, this study employed a ramification of AI-based total methods to identify patterns and generate insights from the dataset. Traditional and ML algorithms were used to generate models based on the records. The models have been evaluated based on their metrics—accuracy, precision, and keep in mind. In the end, the effects from the models were analyzed to identify trends and institutions among the variables. The findings concluded that AI may want to provide a robust and accurate technique to perform multivariate records analysis. However, further research is needed to develop novel tactics to utilize AI for multivariate statistics evaluation with increased accuracy and precision.
  • LiFi-Voice: Experimental Analysis of Novel Voice/Audio Communication Methodology using Visible Light Communication
    Velu Aiyyasamy, A Thenmozhi, P. Malathi, S. Karkuzhali, V. Ashok, J. Lakshmi Priya
    IEEE 9th International Conference on Smart Structures and Systems Icsss 2023, 2023
    Any kind of data may be conveyed using light and the primary goal of this research is to build a device that can communicate through audio signals employing the LiFi technological advances, which makes use of Visible Light Communication (VLC), a way to send data by light. Light-based innovation, or LiFi, is relatively new. Instead of utilizing ordinary radio waves, it uses light to transfer data. At the moment, WiFi is the best way to send data over the electromagnetic spectrum's radio waves. When people talk about 'light frequency technological innovation', these are usually referring to visible light communication, which uses light to transmit data at a rate far higher than WiFi. The LiFi data is sent in several bit flows, and an infrared detector on the receiving end deciphers the information. Binary data, where 0 indicates that the Light is off and 1 indicates that it is on, is used for transmission. We also evaluate and compare the performance of the LiFi-based audio transmission system to that of current systems. While WiFi is ideal for indoor coverage, LiFi offers superior coverage in tight spaces due to its high density wireless data. Compared to WiFi, it offers superior protection, connectivity, communication rate and effectiveness while simultaneously alleviating the serious issue of radio interference. For biological sensors to assess a variety of health metrics, new technology called LiFi allows for high-density wireless data transfer without radio interferences in tight spaces. Light in the room is envisioned as an affordable and renewable medium for data transmission for mobile devices such as tablets and android mobiles in this technology's future development.
  • Understanding the Limitations of Secure Shell (SSH) in Wireless Network Security
    Amit Upadhyay, Sandip Kulkarni, Sharmistha Roy, K. Yuvaraj, V. Ashok, Sunil D. Kale
    2023 3rd International Conference on Smart Generation Computing Communication and Networking Smart Gencon 2023, 2023
  • Experimental & analytical behaviour and performance of structural joints retrofitted with woven wire mesh concreting under reversed cyclic loading
    Pauline T., Sangeetha P., Janardhanan G., Ashok V.
    European Journal of Environmental and Civil Engineering, 2022
  • Retrofitting of Exterior Beam-Column Joint—A Review
    T. Pauline, G. Janardhanan, P. Sangeetha, V. Ashok
    Lecture Notes in Civil Engineering, 2022
  • Experimental Investigations for Thermal Energy Management by Encapsulation of Nano -Enhanced Bio Phase Change Material in buildings
    Ashok V, Geetha N.B., Rajkumar S, Pauline T
    Energy Sources Part A Recovery Utilization and Environmental Effects, 2022
  • Experimental investigation on properties of concrete containing manufactured sand and recycled aggregates
    Journal of Chemical and Pharmaceutical Sciences, 2016
  • Experimental studies on concrete by replacing coarse aggregates with recycled aggregates
    Journal of Chemical and Pharmaceutical Sciences, 2015
  • Experimental studies on strengthening of masonry walls with GFRP subjected to lateral loads
    International Journal of Chemtech Research, 2014