Sumalatha Akunuri

@siddhartha.ac.in

Assistant Professor, Department of Electronics and Instrumentation Engineering
Velagapudi Ramakrishna Siddhartha Engineering College

Sumalatha Akunuri


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https://researchid.co/sumaakunuri

RESEARCH INTERESTS

Industrial Instrumentation and Process Control, System Identification and modeling, Process Modeling and Simulation
19

Scopus Publications

Scopus Publications

  • Eco Dynamic Digester: A Pioneering Approach to Generate Clean Energy from Organic Food Waste
    CH. Yamini, A. Sumalatha, K. Sudha Rani, Neela Victor Babu, K. Leela Kumari, et al.
    2025 3rd International Conference on Communication Security and Artificial Intelligence Iccsai 2025, 2025
    The eco dynamic digester is a cutting-edge device that uses anaerobic digestion to effectively turn organic food waste into sustainable energy. This innovative method uses microbial activity in an oxygen-free atmosphere to decompose organic materials and produce biogas that is mostly made up of carbon dioxide and methane. The digestate, which is rich in nutrients, can be utilized as organic fertilizer to support a circular economy, and the biogas produced can be used as a sustainable energy source for cooking, heating, and electricity. The project intends to provide a sustainable substitute for fossil fuels, lessen greenhouse gas emissions, and address the problem of disposing of food waste. Through the integration of intelligent monitoring systems and the optimization of digestion parameters, the Eco Dynamic Digester improves operational efficiency and biogas generation. This study contributes to global sustainability efforts and the shift to a greener future by highlighting the system's energy potential, scalability for both urban and rural applications, and environmental benefits.
  • Smart Women's Safety Bangle: Innovative Wearable Technology for Real-Time Personal Security
    Challa Charitha Sri, A Sumalatha, Neela Victor Babu, K Sudha Rani, Gorantla Aravind, Gummadi Lokesh, Kurapati Nikhitha
    2025 3rd International Conference on Advancements in Electrical Electronics Communication Computing and Automation Icaeca 2025, 2025
    Girls’s security has been recognized all at once of ultimate urgent challenges in every society, accompanying many girls experiencing badgering, rape, trouble, and household abuse for a type of societal or enlightening causes. The Internet of Things (IoT) is arising as a potential electronics for addressing common issues and directing abundant cases. The community has selected many IoT-located novelty to help women handle attainable security risks. This project introduces a wearable safety device that combines GPS, GSM, and accelerometer technologies to improve personal security through real-time monitoring and emergency warning. The bangle has a GPS module that constantly tracks the wearer's whereabouts and a GSM module that sends SOS messages with specific coordinates if a perilous scenario is identified. The accelerometer detects unexpected movements or impacts, which may indicate trouble, while a button may be manually activated for quick assistance. In an emergency, the system sounds an audible alert and sends an SMS with the wearer's position to a designated contact, allowing for immediate aid. This cheap, portable resolution aims to promote women security and give honest-time crisis responses by handling wearable IoT technology.
  • Design and Deployment of Anti-smog Gun for clean air in Urban areas
    Challa Charitha Sri, A Sumalatha, Neela Victor Babu, K Sudha Rani, Gorantla Aravind, Gummadi Lokesh, Kurapati Nikhitha
    2025 International Conference on Emerging Smart Computing and Informatics Esci 2025, 2025
    Around the world, travel has been challenging over the winter. The biggest issue arises, though, when fog and air particles mix to create smog, which is denser than fog and reduces visibility. The goal of this project is to enhance urban air quality by creating and utilizing a revolutionary anti-smog cannon. The cannon disperses water or anti-smog chemicals in a targeted way using special equipment such as mist-generating devices, precise nozzle designs, pump mechanisms, and advanced control systems. The study examines the ideation, prototyping, testing, and optimization phases of the development of the gun and emphasizes the necessity for such strategy for urban environments. The evaluation focuses on performance indicators such as environmental impact, pressure regulation, droplet size distribution, and dispersion coverage. Conducted field experiments and real-world deployments offer important insights into the gun's effectiveness in reducing pollutants and improving air quality. The creation and use of the anti-smog gun marks a major breakthrough in the campaigns for clean air and the battle against urban air pollution.
  • IMPROVING SEMANTIC SEGMENTATION OF MEDICAL IMAGES WITH FINE-TUNING TECHNIQUES
    Journal of Theoretical and Applied Information Technology, 2024
  • Forecasting Global Recession and It's Likely Fallout on India's Economy Using Machine Learning Techniques
    K Sudha Rani, A. Suma Latha, Vaishnavi Satish, Pradeepa Medisetty, V Yashwanth Sena
    2024 International Conference on Computational Intelligence for Green and Sustainable Technologies Iccigst 2024 Proceedings, 2024
    The goal of this research is to create a predictive model that can be used to spot economic downturns using a combination of macroeconomic and financial variables. This research uses a Random Forest model to predict the probability of a global recession and its potential impact on the Indian economy, while comparing the performance of Logistic Regression, Decision Tree, and Random Forest models. The study analyzes a dataset of six key macroeconomic variables and evaluates the model’s performance using various metrics. The study’s findings indicate that the fedfunds rate, non-farm employment, Standard & Poor’s(S&P) 500 index, ty10 rate and indpro are the most crucial predictors of a global recession. Additionally, the model predicts that a global recession would significantly affect the Indian economy. The results of this study provide valuable insights for policymakers to develop policy measures to mitigate the adverse effects of a global recession on the Indian economy.
  • Cloud-Based IoT Solution for Enhanced Poultry Farm Management
    M Venkata Sai Prasad, A Sumalatha, K Sudha Rani, Ch Meenakshi, M Nicy, D Charan Babu
    4th International Conference on Innovative Practices in Technology and Management 2024 Iciptm 2024, 2024
    The poultry industry, catering to an ever-increasing global demand, requires sophisticated monitoring solutions for optimal production and animal welfare. In response, this paper introduces" Feather Sense," a pioneering Internet of Things (IoT) system tailored for poultry farming. This cloud-based solution leverages the Telegram cloud platform for data storage, real-time monitoring, and remote access. Environmental parameters critical to poultry well-being, including temperature, humidity, and ammonia levels, are continuously tracked and analyzed. FeatherSense empowers farmers with a user-friendly interface, facilitating remote monitoring and intelligent decision-making. Field trials in commercial poultry farms demonstrate the system’s efficacy in enhancing productivity and poultry welfare. This innovative approach promises to revolutionize the industry by offering a cost-effective, scalable, and accessible solution for poultry management.
  • Thermoelectric Energy Harvesting From Non-Biodegradable Dry Waste
    P. Vijaya Lakshmi, A. Sumalatha, K Sudha Rani, K. Kalyan, O. Chandra Sekhar, K. Sai Aasritha
    5th International Conference on Recent Trends in Computer Science and Technology Icrtcst 2024 Proceedings, 2024
    Thermoelectric energy harvesting presents a promising approach for converting waste heat into usable electrical energy. This study investigates the feasibility and potential of producing energy from dry waste materials through thermoelectric generators (TEGs). Dry waste, such as industrial exhaust, electronic devices, and household appliances, continuously emits heat during operation and disposal. By utilizing TEGs, this waste heat can be efficiently transformed into electricity, reducing energy wastage and contributing to sustainable energy solutions. This research explores the design, materials, and operating parameters of TEG systems for dry waste energy harvesting and assesses their performance in real-world scenarios. The results demonstrate the significant energy recovery potential of thermoelectric systems from dry waste, with implications for waste management, energy conservation, and environmental sustainability.
  • Proof of Trust and Expertise (PoTE): A Novel Consensus Mechanism for Enhanced Security and Scalability in Electronic Health Record Management
    MD. Zia Ur Rahman, Sumalatha Akunuri, D. Nagabhushana Babu, M. V. S. Ramprasad, SK. Mohammed Shareef, Masreshaw Demelash Bayleyegn
    IEEE Access, 2024
    This paper proposes a paradigm that combines edge computing and blockchain technology in the healthcare field, providing a groundbreaking method to handle, analyze, and safeguard medical data. The method effectively decreases the time delay, addresses problems related to data transmission capacity, and improves the protection of sensitive patient data by processing it locally. The blockchain network is essential to the system since it offers a secure and unchangeable record for storing processed data. The integration of this novel system guarantees that patient data, once recorded, is unable to be modified in a way that affects previous entries, thereby preserving the integrity of the data. This approach prominently incorporates the innovative Proof of Trust and Expertise (PoTE) consensus process, which utilizes the reliability and specialized knowledge of users in the network. This approach not only guarantees the secure and efficient validation of transactions, but also conforms to the essential demands of managing healthcare data. The proposed model provides efficient environment that is scalable and reliable with average block processing time of 0.25 sec, transactional throughput of 140 transactions per second (tps) and a success rate of 97% while operating over larger number of nodes in the network. The incorporation of edge computing and blockchain in healthcare is positioned to establish a novel benchmark in the management, processing, and security of medical data, consequently augmenting the overall caliber of healthcare services.
  • Dynamic modeling of Boiler drum using nonlinear system identification approach
    A. Sumalatha, K Sudha Rani, Ch. Jayalakshmi
    Measurement Sensors, 2023
    Thermal power generation plays a major role in meeting present-day power demands. Efficient and economic controls of crucial elements like steam boiler section need superior control mechanism to ensure better efficiency. Identification of model, dynamics is a formidable task due to the strong coupling of process variables, nonlinearities in the dynamics and constraints on the control inputs. This paper presents the application of nonlinear modeling techniques to estimate boiler drum dynamics in terms of nonlinear model framework which is one of the important requirements for the design of drum water level controls schemes. The historical plant data for estimation is collected from boiler of 210 MW, Stage-II, Boiler-4 of Dr. Narla Tata Rao Thermal power Corporation (NTTPC) Ibrahimpatnam, Vijayawada. Different operating conditions are selected to estimate the nonlinear dynamics of the boiler to check with the existing Hammerstein, Wiener, model frame works. Later the nonlinear framework is modified to estimate other nonlinearities present in the system. The estimated model responses are presented to check the boiler dynamics.
  • An Integrated Wireless Aquaculture Monitoring and Feed Management System
    K. Siva Prasad, A. Sumalatha, J.V.K.S. Chandra Rao, V.V. Vara Prasad
    Proceedings 7th International Conference on Computing Methodologies and Communication Iccmc 2023, 2023
    Shrimp farming is one of the most significant aquaculture activities in India, vannamei shrimp is a type of shrimp that is widely cultivated in India. However, there are a number of issues contributing to the failure of vannamei shrimp production, including poor water quality, improper feeding during the maintenance period, particularly in open ponds. Feeding is the primary factor determining efficiency and cost in aquaculture, so knowing quantity and frequency of feeding is critical for maximizing feed conversion ratio and production efficiency. In this context an integrated system for overall monitoring of aquaculture and feed management is proposed in this paper. The long-term sustainability of shrimp production can be achieved by monitoring water quality, managing feed appropriately, and managing the cultivation environment, according to a survey of farmers in various regions about their farming practices. In order to solve these issues, this study suggests a compact design of automatic integrated feeding system comprising feeder, sensors, aerator, check nets etc. The proposed system provides both in situ and remote monitoring of crucial water quality parameters such as pH, temperature, and turbidity. A customized mobile app is integrated to monitor water quality and manage the feed remotely according to the requirements of the pond and the choice of the user.
  • Automatic Rail Track Inspection System
    14th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2023, 2023
  • Fisherboat Tracking System Using IOT
    P Vijaya Lakshmi, A Sumalatha, K Sudha Rani, K Sai Aasritha, K Kalyan, O Chandra Sekhar
    2023 International Conference on Computational Intelligence Networks and Security Iccins 2023, 2023
  • IoT Based Smart Poultry Management System
    M Venkata Sai Prasad, A Sumalatha, K Sudha Rani, M Nicy, Ch Meenakshi, D Charan Babu
    Proceedings of the 2023 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2023, 2023
  • A semi-automated cleaning system for indoor floor and air quality control
    A Roshini Gayatri, P Geethika, B Devika, Anil B Taraka Sai, A Sumalatha
    Journal of Physics Conference Series, 2022
  • An Experimental study of Boiler Drum Level Controller performance through System Identification Models
    Sumalatha A, A Bhujanga Rao, Kandru Sudha Rani
    2022 1st International Conference on Electrical Electronics Information and Communication Technologies Iceeict 2022, 2022
  • Estimation of deaerator dynamic model A system identification approach
    A. Sumalatatha, A. Bhujanga Rao
    2019 International Conference on Intelligent Computing and Control Systems Iccs 2019, 2019
  • A data driven approach of modelling and parameter estimation of boiler drum subsystem dynamics
    International Journal of Mechanical and Production Engineering Research and Development, 2019
  • Closed loop identification and effect of multiple datasets on parameter estimation : A laboratory scale industrial process
    A Sumalatha, A Bhujanga Rao
    Proceedings of the 2nd International Conference on Computing Methodologies and Communication Iccmc 2018, 2018
  • Novel method of system identification
    A Sumalatha, A Bhujanga Rao
    International Conference on Electrical Electronics and Optimization Techniques Iceeot 2016, 2016