Aswathy N

@adishankara.ac.in

Senior Assistant Professor, Department of electronics and Communication Engineering
Adi Shankara Institute of Engineering and Technology

Aswathy N


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https://researchid.co/aswathyn

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering
17

Scopus Publications

Scopus Publications

  • Design of optimized and energy efficient single-bit comparator using quantum dot cellular automata
    Aswathy N, Siva Mangai N M, Rahul Krishnan
    Engineering Research Express, 2025
    Quantum-dot Cellular Automata technology presents multiple advantages over conventional CMOS technology, such as lower power consumption, high speed, and greater density. QCA holds the potential to overcome the physical limitations of CMOS, positioning it as a promising option for the future of VLSI circuits. Comparator circuits contribute to rapid decision-making and signal processing in digital systems. This paper proposes two single-bit comparator designs using QCA. The proposed designs consume 35 and 18 cells, respectively with 0.5 latency in clock cycles. The simulations are carried out on QCADesigner 2.0.3 without any crossover. Additionally, power dissipation metrics for comparator designs were determined using the QCAPro and QCADesigner-E tools. It is observed that the design produces accurate results up to 4 K by analyzing the average out polarization.
  • Area Adaptive Air Quality Monitoring System using FPGA
    Aswathy N, Divya V Chandran, Greeshma Rajeev, Abhinav Sudheesh, Anamika Sibi, Aadithyan R Menon
    Proceedings of 5th International Conference on Soft Computing for Security Applications Icscsa 2025, 2025
    With increasing concerns about environmental pollution and its ill effects on public health, the need for efficient and adaptable air quality monitoring systems has become critical. This project proposes a novel area-adaptive air quality monitoring system designed to address these challenges by utilizing FPGA technology. The system utilizes an Zynq FPGA board for real-time processing of environmental data collected from a network of air quality sensors. These sensors measure essential parameters such as particulate matter (PM2.5), carbon monoxide (CO) and nitrogen dioxide (NO2). The system has the unique ability of being locally adaptive which would, whenever necessary, reduce the resolution of monitoring based on the environmental conditions and the thresholds related given air quality. This project is developed to be scalable, low-cost, and achievable for real-time air quality monitoring with accuracy that is area specific. This helps in the reduction of people being exposed to harmful pollutants, improving public health and supports urban planning. The design is eco-friendly creating healthier smarter and more liveable communities for everyone.
  • GUARDSPHERE: IoT ENABLED SMART SAFETY HELMET
    Divya V Chandran, Aswathy N, Adhithya P Nair, Adithyan S Kumar, Anunanda M, Devika T R
    Picc 2025 5th International Conference on Power Instrumentation Control and Computing Instrumentation Control Communication and Computing Techniques for A Smarter and Energy Efficient Tomorrow, 2025
    Safety concerns in hazardous industries such as construction, mining, and manufacturing demand innovative solutions to protect workers from potential risks. The GuardSphere: IoT-Enabled Smart Safety Helmet addresses these challenges by integrating advanced sensors and IoT capabilities into a compact, wearable device. The system incorporates a DHT11 sensor for temperature and humidity monitoring, enabling prompt action during extreme weather or heat conditions. An MQ135 sensor continuously evaluates air quality, detecting harmful gases and smoke to mitigate risks of respiratory illnesses and toxic exposure. One of the standout features of GuardSphere is its fall detection capability, achieved through ADXL335 sensor which accurately detects falls or impacts, triggering immediate alerts to supervisors for timely intervention. Additionally, the MQ3 sensor ensures workplace discipline by detecting alcohol consumption. The Neo-6M GPS module enables precise location tracking, providing real-time worker positioning in vast industrial zones or remote worksites. The GuardSphere helmet communicates with a central system via an IoT-enabled network, allowing supervisors to monitor environmental data, worker status, and locations in real time. Alerts are generated automatically and can be transmitted via SMS or an app, ensuring swift action when required. This project stands out by combining multiple safety features into a single, compact, and cost-effective solution. Its IoT-enabled design facilitates seamless communication and real-time data analytics, which are essential for timely decision-making.
  • Optimising energy consumption in Nano-cryptography: Quantum cellular automata-based multiplexer/demultiplexer design
    Aswathy N, N. M. Siva Mangai
    Iet Quantum Communication, 2024
    Future global communications will depend heavily on nano‐communication networks, which use ultra‐low power nano‐circuits to transmit data efficiently at very high rates. An essential part of distributed communication networks is the circuit‐switched network, which distributes the input signal among several users. For designing nanoscale digital circuits, Quantum Cellular Automata technology (QCA) emerges as a formidable contender against the established complementary metal‐oxide‐semiconductor (CMOS) technology for low‐power devices. The authors endeavour to achieve an efficient design for multiplexer and demultiplexer switching circuits. The designed multiplexer and demultiplexer have 15 cells with an area of 0.02 μm2 and a latency of 0.5 clock cycles. The authors assess the energy dissipation and temperature impacts for both multiplexer and demultiplexer circuits. The novel design of switch circuits facilitates the sharing of a single communication link across multiple devices at the nano‐scale.
  • Design of energy-efficient hybrid STT-MTJ/CMOS-based LIM logic gates for IoT applications
    N. Aswathy, N.M. Sivamangai, A. Napolean, T. Jarin
    Measurement Sensors, 2024
    Complementary Metal Oxide Silicon (CMOS) technology faces a major concern in power dissipation due to the scale-down of technology nodes to the nanoscale. To, resolve this problem, logic-in-memory (LIM) structures are researched as a solution. A spintronics device called magnetic tunnel junction (MTJ) uses less static power than CMOS technology. To improve the energy efficiency of LIM structures, spin-transfer torque based magnetic tunnel junction (STT-MTJ) and CMOS are used to design digital circuits. In this paper, the design of hybrid AND/NAND, OR/NOR, and XOR/XNOR logic gate are done by exploring two proposed LIM designs namely LIM1 based on a pre-charge sense amplifier (PCSA) and LIM2 based on a modified version of PCSA (M-PCSA)using the Cadence simulator. This work considers the incorporation of separated transistor logic into the LIM structure to provide separate read and write paths.The results are compared in respect of delay, power, gate count and energy consumption.The proposed LIM1 and LIM2-based AND/NAND, OR/NOR and XOR/XNOR design shows 47.5%, 49.6%, 41.9% and 59.3%, 60.7%, 55.7% lower energy consumption respectively compared to the existing CMOS-based designs. This paper exhibits the design of energy efficient hybrid MTJ/CMOS structures using optimized read/write circuitry and it is appropriate for IoT applications.
  • Walk Well: Smart Sensor based Wearable Leg Support Exoskeleton with Fall Alert
    N Aswathy, Parvathy S Nair, Sonu Rajesh, L Sreehari, Vishal Vinod, T Jarin
    8th International Conference on Electronics Communication and Aerospace Technology Iceca 2024 Proceedings, 2024
    Falls are a major public health concern that requires creative ways to lessen their effects, especially for older folks and those in vocational settings. Having seen the potentially disastrous effects of falls, we have created a novel method that wears sensors into an exoskeleton and prevents slip-related mishaps before they happen. Our technology combines small inertial measurement devices positioned strategically on the lower limb with an advanced combination of wearable sensors, including heart rate and pulse oximetry monitoring. All of these sensors work together to create a strong network that can identify slips immediately. This exoskeleton is essential in helping people do gait recovery techniques since it is precisely controlled in terms of torque. Through its ability to react quickly to detected slips, the exoskeleton can potentially avoid loss of balance and stop a series of event that could result in more catastrophic injuries, like hip injuries. Our technology operates in real-time, it guarantees prompt and flexible reactions, providing a proactive defense against slips and falls, which are frequently unpredictable.
  • Quantum Dot Cellular Automata for Improved Adder Efficiency: A Performance Evaluation with CMOS
    Ashwini Priya S, Harini D, Priscila Lincoln, Sudharshana S R, Siva Mangai N. M, Aswathy N
    Icdcs 2024 2024 7th International Conference on Devices Circuits and Systems, 2024
    Quantum Cellular Automata (QCA) is a type of computational model that integrates quantum mechanics and traditional computer fields. QCA uses the concepts of quantum superposition and entanglement to perform calculations inspired by cellular automata. QCA holds the promise of developing high-performance, low-power devices capable of operating at the atomic or molecular scale. This paper introduces a novel complement design utilizing QCA technology, exploring its efficiency through both design and analysis. The main goal is to minimize the QCA cell count and decrease the overall footprint, all while maintaining operational efficiency. The proposed design is a new method to implement a majority gate, which is an important part of the adder. This efficient majority gate is the basis for building an adder with a small footprint and reduced clock cycles. The results show significant improvements over existing designs in LTspice and demonstrate the effectiveness of the proposed approach in achieving computational efficiency in the QCA framework.
  • Tomato Plant Health Management Using AI
    Aswathy N, Jaimy James Poovely, Abhijith Surendran, Samuel Sabu Thomas
    Access 2023 2023 3rd International Conference on Advances in Computing Communication Embedded and Secure Systems, 2023
    India is a country whose economy is heavily reliant on agriculture. The agriculture sector accounts for a significant portion of the country's overall economy. Plant diseases are particularly important because they can have a negative impact on the quality and quantity of crops. Viruses, bacteria, fungi, and other microorganisms can cause plant diseases. The majority of farmers are completely unaware of such diseases. In India, the tomato crop is a common staple due to its high commercial value and strong production potential. In tomatoes, the three most potent antioxidants are vitamin E, vitamin C, and beta-carotene. The main focus of the proposed article is to create a more accurate and time-efficient automatic method for detecting tomato plant leaf diseases. This work aims to create a system that captures images with a Raspberry Pi camera and classifies them using Convolutional Neural Network. In neural network models, automatic feature extraction is utilized to help classify input photos into appropriate illness categories.
  • Write Driver for Low Power Consumption in Magnetic Tunnel Junction (MTJ) Circuits
    M Francis Aswin, Radha Subramanyam, N Aswathy, N M Siva Mangai, P Nagabushanam
    Proceedings 2023 12th IEEE International Conference on Communication Systems and Network Technologies Csnt 2023, 2023
    Magnetic tunneljunction (MTJ) circuits play major role in various memory applications. Read and write operations are the basic operations required for any memory. Spin transfer torque is considered for the MTJ with a supply voltage of 1.3 volts. Read and write operations are analyzed with the proposed write driver which has 49 transistors is designed in CMOS cadence technology. Write detector, enable circuits help in achieving low power consumption at the expense of area. Hence, a trade off between power and area is possible with the proposed write driver for MTJ circuits.
  • An optimized Faster R-CNN model for Cassava Brown Streak Disease Classification
    Rajasree R, C. Beulah Christalin Latha, Sujni Paul, Appu M, Aswathy N
    Access 2023 2023 3rd International Conference on Advances in Computing Communication Embedded and Secure Systems, 2023
    The scientific community has shown considerable interest in plant disease detection and classification based on deep learning. In order to address these research gaps, this study proposes an optimized, fine-tuned model for the detection of Cassava Brown Streak Diseases. Casѕava is a vital Thai manufacturing harvest. Thailand is a pioneer in cassava production; therefore, a lot of cassava has been produced and exported. But, caѕsava infection could be the key to cut back caѕsava creation and immediately has an effect on growers' earnings. This research is to develop a model using an effective deep learning algorithm for cassava leaf disease detection. We split the classification into two phases, with Model1 and Model2. First model is used to do the cassava disease classification and second model for identifying the Cassava Brown Streak Virus Disease using VGGNet, AlexNet and Faster R-CNN algorithm. Furthermore, data augmentation techniques are employed during network training to improve the performance of the proposed network. The proposed model has been evaluated its performance using accuracy and confusion matrix. The experimental results demonstrates that our approach can accurately classify Cassava Brown Streak Diseases with an accuracy of 96% using Faster R-CNN.
  • Review on role of nanoscale HfO2 switching material in resistive random access memory device
    N. A, Sivamangai Nm, R. S., N. R, N. N, K. S, A. N
    Emergent Materials, 2022
  • Design of STT-MRAM Using Hybrid MTJ/CMOS for Applications beyond CMOS
    Aswathy N, N. M Siva Mangai, Francis Aswin M
    Icistsd 2022 3rd International Conference on Innovations in Science and Technology for Sustainable Development, 2022
  • 1-Bit Full Adder Design Using XOR Gates by QCA Technology
    Ambily Vijayan, Anju George, Jaimy James Poovely, Aswathy N
    Proceedings 2nd International Conference on Next Generation Intelligent Systems Icngis 2022, 2022
  • Custom face recognition using YOLO.V3
    Suman Menon M, Anju Geroge, Aswathy N, Jaimy James
    2021 3rd International Conference on Signal Processing and Communication Icpsc 2021, 2021
  • Future Nonvolatile Memory Technologies: Challenges and Applications
    N Aswathy, N.M Sivamangai
    Access 2021 Proceedings of 2021 2nd International Conference on Advances in Computing Communication Embedded and Secure Systems, 2021
  • Implementation of a Multitudinous Face Recognition using YOLO.V3
    M Suman Menon, Anju George, N Aswathy
    Proceedings of the 4th International Conference on Microelectronics Signals and Systems Icmss 2021, 2021
  • A New Hardware Architecture for FPGA Implementation of Feed Forward Neural Networks
    V.A Sumayyabeevi, Jaimy James Poovely, N Aswathy, S Chinnu
    Access 2021 Proceedings of 2021 2nd International Conference on Advances in Computing Communication Embedded and Secure Systems, 2021