Arithmetic Optimization Algorithm Quantization Optimized With Energy Detection Using Nonparametric Amplitude Darwin Nesakumar A, Rukmani Devi S, Inbamalar T M, Pavithra K N International Journal of Communication Systems, 2025 The spectrum sensing is a major significant task in cognitive radio networks (CRNs) to avoid the unacceptable interference to primary users (PUs). Here, the threshold value determines the effectiveness of spectrum sensing and regarded as a sensing system. The fixed threshold used by the current energy detection‐based spectrum sensing (SS) techniques does not provide sufficient safety for the main users. The threshold is determined by lowering the complete probability of decision error in addition to these guidelines. Therefore, an energy detection using nonparametric amplitude quantization optimized with arithmetic optimization algorithm for enhanced spectrum sensing in CRNs (ED‐NAQ‐AOA‐SS CRN) is proposed in this paper to acquire the ideal threshold for decreasing the total error probability. The proposed method achieves greater probability of detection of 99.67%, 98.38%, 92.34%, and 97.45%, lower settling time of 98.33%, 89.34%, 83.12%, and 88.96%, and lower error rate of 93.15%, 91.25%, 79.90%, and 92.88% compared with existing techniques, like intelligent spectrum sharing and sensing in CRN with adaptive rider optimization algorithm (AROA), a novel technique for spectrum sensing in CRN utilizing fractional gray wolf optimization with the cuckoo search optimization (GWOCS), and adaptive neuro‐fuzzy inference scheme depending on cooperative spectrum sensing optimization in CRNs (ANFIS).
Leveraging Global Channel State Information in Cognitive Radio IoT Networks: An IBSCNN and Red-Fox OPOSS A. Darwin Nesakumar, K. N. Pavithra, T. M. Inbamalar IETE Journal of Research, 2025 The widespread placement of sensors and devices in the Internet of Things (IoT) poses a significant challenge to spectral efficiency. Since its conception, the IoT has faced concerns about spectrum shortages. The application of Cognitive Radio (CR) technology is considered as a possible solution. CR poses challenges in the IoT, including short response times, efficient spectrum recognition in low signal-to-noise ratios. In this paper, Leveraging Global Channel State Information in Cognitive Radio IoT Networks: An Integrated Binarized Simplicial Convolutional Neural Network and Red-Fox Optimization Algorithm for Optimal Spectrum Sensing (CR-IoT-BSCN-RFOA) is proposed. Initially, data is gathered from RADIOML2016.10b dataset. Then the collected data is given into the feature extraction phase by using Refined Linear Chirplet Transform (RLCT) for extracting features, like spectrum holes detection, signal entropy, power spectral density, SNR, adjacent user range, received signal strength index, bandwidth, fading fact. The Binarized Simplicial Convolutional Neural Network (BSCN) is used to predict optimal primary user. The Red-Fox Optimization Algorithm (RFOA) is proposed to optimize the weight parameters of BSCN. Finally, the performance of the proposed CR-IoT-BSCN-RFOA method provides 27.10%, 29.22% and 28.36% higher accuracy when compared with existing techniques: Fuzzy ELM-dependent optimal spectrum sensing in CR-Internet of Things network (OSS-CR-IoT), Multi-Antenna Spectrum Sensing along Alpha-Stable Noise for Cognitive Radio-aided IoT (MAS-CR-IoT) and Adversarial Attacking and Defensing Modulation Recognition with DL in Cognitive Radio-assisted IoT (ADMR-DL-IoT) methods respectively.
IoT based Integration of Environmental Sensors for Commercial Aquaculture Athi Ram R S, Gokulrajan R M, Logeshwaran M, Sharu Shree M, Darwin Nesakumar A Proceedings of 5th International Conference on Pervasive Computing and Social Networking Icpcsn 2025, 2025 Maintaining optimal water quality is essential for the growth and health of aquatic organisms in commercial aquaculture. Poor water quality can result in stress, disease, and financial losses, making real-time monitoring critical. This paper presents an automated aquaculture system integrating environmental sensors (ORP, pH, temperature, TDS, and electrical conductivity) with an ESP8266 Wi-Fi module for remote monitoring. The system allows for continuous measurement and real-time display of water quality parameters, accessible through mobile devices, and features a feedback system for automating temperature regulation, feeding, and maintenance. Data collected from sensors is transmitted in real-time to Firebase, acting as the primary control hub, storing data and enabling remote access to parameters. The entire system is powered by a solar-charged battery, making it eco-friendly and resilient to power outages. This approach offers significant advantages over traditional manual methods, optimizing conditions for small to medium-scale aquaculture businesses, enhancing water quality management for improved yield, and promoting sustainable growth through IoT technologies.
Intelligent Attendance System with Fake Face Prevention Using Ageitgey and Real-Time Database Integration Suresh T, Darwin Nesakumar A, Deepak P, Praveen G, Sanjay P 2nd International Conference on Research Methodologies in Knowledge Management Artificial Intelligence and Telecommunication Engineering Rmkmate 2025, 2025 The Next-Gen Attendance System employs advanced facial recognition technology to provide a secure, efficient, and reliable way to track attendance. By eliminating proxy attendance, it ensures data integrity and offers real-time updates for both parents and teachers. The system prioritizes user privacy with robust encryption, adhering to strict data protection standards. It integrates smoothly with existing institutional systems, allowing for scalability and future enhancements. This solution boosts operational efficiency by automating attendance processes, enhancing accuracy, and reducing the administrative workload. Designed with flexibility and security in mind, the system represents a significant leap forward in attendance management technology.
Antenna Design for Dual Band Filtering With H-Shaped Slot and Symmetric OSCF Vishnupriya S, S Mahin Sultana, Darwin Nesakumar A, Pavithra K N, Tharani R, Tarun M A 10th International Conference on Wireless Communications Signal Processing and Networking Wispnet 2025, 2025 This paper presents the design, simulation, and analysis of a novel binary band microstrip patch antenna with a filtering response, fabricated on a PTFE substrate with dimensions of 64.5mm × 60mm × 1.5mm. The antenna incorporates an H-shaped slot to achieve dual-band performance and filtering characteristics. The introduction of the H-shaped slot results in a radiating patch and creates a radiation null between the two operational bands, enhancing the antenna's selectivity and performance. The proposed antenna resonates at two distinct frequencies, specifically at 3.12 GHz and 4.14 GHz, catering to different communication standards. The radiation pattern of the antenna exhibits a low cross-polarization level of 24 dB, which minimizes interference and enhances signal clarity. Additionally, the antenna achieves a realized gain of 22 dBi, ensuring efficient signal transmission and reception. The simulation and analysis were conducted using CST software, demonstrating the feasibility and effectiveness of the design. The dual-band filtering antenna is suitable for advanced wireless communication systems, providing improved performance and reliability. This work contributes to the development of compact and efficient antennas for modern communication applications.
Automatic Railway Gate Control A. Darwin Nesakumar, K. N. Pavithra, A. Swetha Reddy, T. M. Inbamalar Aip Conference Proceedings, 2024
Dual port dual drive/LiNb MZM measured modulators based light transmitter sources for ultra-long haul optical wireless systems Darwin Nesakumar Annath Kumar, Mani Tamilselvi, Bhuvaneswari Balasubramanian, Nagarajan Ashokkumar, Ramachandran Thandaiah Prabu, Aziz Mahoumd Taher Journal of Optical Communications, 2024 This study demonstrated the dual port dual drive/LiNb MZM measured modulators based light transmitter sources for ultra-long haul optical wireless systems. The lighted signal spectrum is clarified after OWC channel through the use of LiNb MZM modulators and dual port dual drive MZM measured modulators. Lighted signal power amplitude spectrum variation is measured after OWC channel (150 km reach) through the use of LiNb MZM modulators and dual port dual drive MZM measured modulators. The total base signal band power amplitude value is estimated after OWC channel (150 km reach) through the use of both LiNb MZM modulators and dual port dual drive MZM measured modulators. Light sampled signals analysis based S parameters is clarified and sketched carefully with spectral frequency after amplification stage through the use of LiNb MZM modulators and dual port dual drive MZM measured modulators. Besides, the signal power amplitude quality with spectral time is simulated and sketched after amplification stage through the use of dual port dual drive MZM measured modulators and LiNb MZM modulators.
IoT-Powered Precision Farming and Home Gardening for Seamless Monitoring, Automation and Security Darwin Nesakumar A, Deepak P, Sanjay P, Aishwarya B, Aswini R, Pavithra K N 2024 International Conference on Wireless Communications Signal Processing and Networking Wispnet 2024, 2024 Conventional agricultural practices encounter alarming challenges, such as diminishing water resources, and extreme weather conditions, resulting in reduced crop productivity and food availability for the rising global population. So, precision agriculture which is characterized by the integration of advanced cutting-edge technologies with agriculture, emerges as a strategic key for solving these challenges. The main objective of this research is to encourage everyone to indulge in farming and ease the agricultural processes. The urban population lacks familiarity with farming and faces time and space constraints. Whereas the passionate farmers who strive to adopt technology in agriculture face challenges due to the complexity of the interfaces and also language barriers. So, this paper addresses these problems by creating an IoT-based monitor and control system where the monitoring part uses a network of sensors to collect the field's environmental conditions. This data is sent to the cloud platform, where it is presented in clear visualizations, enabling the users to understand the crop conditions, trends, and needs. The system is controlled remotely using voice commands in various languages. Hence it provides enhanced accessibility to the users with hands-free interaction using voice commands and global accessibility. Integrating IoT technology in agriculture reduces water consumption by 35% and boosts wheat and rice crop yields by 20%. This integration enhances overall efficiency, achieving a 90% improvement.
Design and Implementation of Direction Controlled Trolly for Smart billing using IoT M. Perarasi, B. Sarala, S. Saraswathi, J. Jasmine Hephzipah, A. Darwin Nesakumar, K. Sushmitha 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things Idciot 2024, 2024 Customers can control the trolley using mobile app and move it without any difficulty. There are total of five controlling options Front, Back, Left, Right and Stop, this makes the customers shopping easy. After making a full purchase, you need to go to the billing counter to make the payment. There is a long line at the ticket office, payments are a time-consuming process, to eliminate the time-consuming nature of payments, a billing system will be implemented in the trolley. The mechanism consists of RFID Reader and a tag which is placed inside every product, when a customer places a product in a shopping cart, he/she should ensure that he/she place the tag near the reader so that the product is read by the billing panel and it will show the bill amount to the reader. The trolley does have an RFID reader attached to it. Every time we order it, the cost of the item will be added to the final bill. whenever we place it. As a result, billing will take place within the cart directly. It will be shown on a LCD display & web page.
Posturesense Intelligent Body Support Crutch Tool Anushree A, Darwin Nesakumar A, Ajeet R J, Gopika S, Haritha V, Pavithra K N Iccds 2024 International Conference on Computing and Data Science, 2024 The goal of scientific reason in the field of physical therapy during the past ten years has been to provide mechanisms that enable physiotherapists to respond to the increasingly complicated demands of healthcare and rehabilitation facilities with clinical choices that are made quickly, effectively, and efficiently. Studies have demonstrated the value of walking aids in the aged population following arthroplasty surgery, throughout the rehabilitation process from various illnesses, and for older individuals experiencing muscular weakness and balance issues. For gait abnormalities and imbalance brought on by a variety of conditions, including lower limb surgery or neurodegenerative alterations, making use of a walker is advised, particularly during the initial stages of recuperation. In this project, we created a walker-using patient solution that aids in maintaining their appropriate balance. This smart walking tool has GSM modules, GPS, and sensors. The walker's sensors were specifically designed to gather pertinent data about its use in physical therapy sessions, such as pressures exerted to the device. Using haptic feedback, this gadget will alert walkers automatically when they exert greater pressure on one side. We have included an automated fall detection technique using a MEMS sensor. When the sensor hits a certain threshold, it will immediately send the carer or physicians an emergency SMS with the patient's current position. The interior lighting system of this walker is automated and is based on Surrounding Environment.
GPS-based power theft detection and alert system using GSM Pavithra K N, Tarunkumar S, Darwin Nesakumar A, Vedantamurthy B, Vishal P V, Tharani R 2023 IEEE International Conference on Research Methodologies in Knowledge Management Artificial Intelligence and Telecommunication Engineering Rmkmate 2023, 2023
A Novel Emotion Recognition Model based on Speech Processing K. Krishna Veni, Syed Ismail Abdul Lathif, K. Suresh Kumar, T. D. Subha, S Agnes Shifani, Darwin Nesakumar A Proceedings of the 2nd IEEE International Conference on Advances in Computing Communication and Applied Informatics Accai 2023, 2023
Bitcoin Price Prediction Using Deep Learning and Neural Networks Darwin Nesakumar, Srinath Bhavyasri, Tanguturi Keerthana, Yelisetty Meghana, K N Pavithra, P Mugilan International Interdisciplinary Humanitarian Conference for Sustainability Iihc 2022 Proceedings, 2022
Smart ATM Card for Multiple Bank Accounts Darwin Nesakumar A, Arthi S, Avulu Lahari, Geetha M, Pavithra K N, P Mugilan International Interdisciplinary Humanitarian Conference for Sustainability Iihc 2022 Proceedings, 2022
Emotional Based Playback System for Autism A Darwin Nesakumar, R Priyadharshini, K Pavithra, L. Sherin, K N Pavithra, P Mugilan International Interdisciplinary Humanitarian Conference for Sustainability Iihc 2022 Proceedings, 2022
IoT enabled Framework for Wearable Medical Sensor Data C. Bazil Wilfred, A. Beno, Darwin Nesakumar A, E. Thenmozhi, S. Bagavathy, S. Sheeba Rani Proceedings of the 5th International Conference on I Smac Iot in Social Mobile Analytics and Cloud I Smac 2021, 2021
RECENT SCHOLAR PUBLICATIONS
IoT enabled Framework for Wearable Medical Sensor Data CB Wilfred, A Beno, D Nesakumar, E Thenmozhi, S Bagavathy, SS Rani 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile … , 2021 2021 Citations: 2
Reduction of Specific Absorption Rate using Carbon Foam Inside Enclosures SV M.Daniel NareshKumar, J.Janish Blessy, Darwin Nesakumar A International Journal of Innovative Technology and Exploring Engineering … , 2020 2020
Mobile Sink Based Data Assemblage in Wireless Sensor Networks PM Darwin Nesakumar A, M.Daniel Nareshkumar, A.Swetha Reddy International Journal of Recent Technololgy and Engineering (IJRTE) 8 (Issue … , 2019 2019 Citations: 2
Radio Frequency Identification Based Smart Shopping Trolley M Gautham, P Vinodh, S Vaseem, D Nesakumar International Journal of Advance Research and Innovative Ideas in Education … , 2019 2019
Cooperative Spectrum Sensing based on Cognitive Radio systems for efficient spectrum utilization ADN M.Krishna Moorthy International Conference on Information, Knowledge & Research in Engineering … , 2014 2014
Cooperative Spectrum Sensing based on Cognitive Radio systems for efficient spectrum utilization ADN M.Krishna Moorthy International Journal of Emerging Technologies and Applications in … , 2014 2014
Dealing with energy loss in wireless sensor network DNA K.N.Pavithra International Conference “ICRTIEM 2014” , 2014 2014
Dealing with energy loss in wireless sensor network DNA K.N.Pavithra National Conference “NCRTIEM 2014" , 2011 2011
Cooperative Spectrum Sensing for efficient spectrum utilization in cognitive radio systems D Nesakumar A ICMR, BRNS & CSIR sponsored National Conference , 2011 2011
MOST CITED SCHOLAR PUBLICATIONS
IoT enabled Framework for Wearable Medical Sensor Data CB Wilfred, A Beno, D Nesakumar, E Thenmozhi, S Bagavathy, SS Rani 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile … , 2021 2021 Citations: 2
Mobile Sink Based Data Assemblage in Wireless Sensor Networks PM Darwin Nesakumar A, M.Daniel Nareshkumar, A.Swetha Reddy International Journal of Recent Technololgy and Engineering (IJRTE) 8 (Issue … , 2019 2019 Citations: 2
Reduction of Specific Absorption Rate using Carbon Foam Inside Enclosures SV M.Daniel NareshKumar, J.Janish Blessy, Darwin Nesakumar A International Journal of Innovative Technology and Exploring Engineering … , 2020 2020
Radio Frequency Identification Based Smart Shopping Trolley M Gautham, P Vinodh, S Vaseem, D Nesakumar International Journal of Advance Research and Innovative Ideas in Education … , 2019 2019
Cooperative Spectrum Sensing based on Cognitive Radio systems for efficient spectrum utilization ADN M.Krishna Moorthy International Conference on Information, Knowledge & Research in Engineering … , 2014 2014
Cooperative Spectrum Sensing based on Cognitive Radio systems for efficient spectrum utilization ADN M.Krishna Moorthy International Journal of Emerging Technologies and Applications in … , 2014 2014
Dealing with energy loss in wireless sensor network DNA K.N.Pavithra International Conference “ICRTIEM 2014” , 2014 2014
Dealing with energy loss in wireless sensor network DNA K.N.Pavithra National Conference “NCRTIEM 2014" , 2011 2011
Cooperative Spectrum Sensing for efficient spectrum utilization in cognitive radio systems D Nesakumar A ICMR, BRNS & CSIR sponsored National Conference , 2011 2011
