Enhanced LCD Character Recognition Leveraging YOLOv11 and Modern Deep Learning Approaches Dinesh Kumar K, Senthil P, Manoj Kumar D. S, S. Kishore Verma, J S Adeline Johnsana, Govindharaj I 2025 International Conference on Emerging Technologies in Engineering Applications Icetea 2025 Proceedings, 2025 The presented research introduces YOLO v11 for digital character recognition in extracting information from 16 × 2 LCD terminal screens. Real-time object detection through YOLO v11 detects precise characters on low-resolution digital displays with both high accuracy and efficiency. The implemented system improves automation capabilities in embedded system monitoring and device diagnostics alongside industrial automation activities. The methodology uses preprocessing methods along with optimized training for character groups while working on limited resource devices.
Enhancing Food Supply Chain Transparency and Agricultural Practices through Blockchain Technology Dinesh Kumar K, Vennila G, Manoj Kumar D S, J. Jeno Jasmine, Govindharaj I, Balamurugan S 2024 5th IEEE Global Conference for Advancement in Technology Gcat 2024, 2024 Blockchain Technology emerged to be one of the smart solutions to ease the functionality of many real time applications due to its decentralized nature, high security and distributed decentralized ledger. Many people have started questioning about the production process of food product that will ultimately be sold at market and retail shops. Blockchain provides viable solution to track the complete process of crop production from harvesting to food products. Therefore, agro business are increasingly searching for supply chain management application that may help to improve the standard of safe food handling, quality and traceability through the agricultural supply chains. Implementing blockchain into the food supply chain makes it more transparent in its operations thus boosting visibility as well as traceability of items from farms to grocery shops. Furthermore, this action mitigates financial risks and promotes all-inclusive commerce. The proposed method able to avoids trusted centralized authorities, middlemen or transaction records but rather permitting direct interaction among peers by having their own personal blockchains. The systematic capturing of transaction at each stage of manufacturing cycle with transparency in the transactions with blockchain security. The aim of this research work to enable the consumers to access the product information from the origin of their food product, including its environmental footprints, storage, food processing etc., beyond food supply chain traceability and transparency this research work aims to find new applications in farming. These may include crop management, food authentication, crop insurance etc., overall to improve the agriculture practices.
Multiple Object Detection on Surveillance Videos For Improving Accuracy Using Enhanced Faster R-CNN Divya G, Manoj Kumar D S, Shri Bharathi SV Journal of Machine and Computing, 2023 Computer vision is a dynamic and rapidly evolving field within the broader domain of artificial intelligence. Within surveillance monitoring systems, one of the central tasks is object detection, which involves identifying and localizing objects of interest in video sequences to provide safety and security of the people. Detection of multiple objects is a challenging task in video sequences which interprets less accuracy and false Bounding box regression. In this paper, enhanced faster R-CNN model is proposed and trained to compute regional proposal through Convolutional layers on the different scene of the sequences in term of lighting, motion capture related to spatial analysis. These enhancements could encompass architectural improvements, novel training strategies, or the incorporation of additional data sources to improve the model's overall performance. Proposed model is experimented on pedestrian video gives an improved accuracy detection rate than single detector techniques.
Optimizing time delay in cloud using enhanced multi-hold inherited maximization algorithm to reduce cost and improve bandwidth Dharmalingam Sundaram Manoj Kumar, Premkumar Sriramya Expert Systems, 2023 Optimizing the time delay in the cloud is one of the essential parameters to be considered for providing an efficient environment for the user to work. Virtual machine (VM) allocation is performed on various heuristic and genetic algorithms (GAs) to schedule the VM to the users in lesser time. However, the scheduling mechanisms do not provide the best serving VM among different data centres. This paper proposes an Enhanced multi‐hold inherited maximization (Enhanced MHIM) algorithm to provide an optimal allocation of VMs across multiple geographically distributed data centres. Based on load information shared between the various data centres, the algorithm computes the best performing machine among the data centres and shares the template for allocating the new device to the user. As a result, the workload is completed quicker by assigning to each user optimally. Heuristic scheduling algorithms, including Min‐Min, Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and GA, are compared with the proposed algorithm. Experimental results indicate that the proposed algorithm is efficient by maximum reduction of 12.63% of the makespan time, 13.06% of execution time, 3.89% of computational cost, and producing the 3× times best serving VM.
Optimising time in cloud using multi-hold inherited maximisation algorithm to reduce computational time D.S. Manoj Kumar, P. Sriramya International Journal of Intelligent Enterprise, 2022 The analysis in cloud computing is gaining momentum. In cloud computing, the allotment of resources assumes a significant job in choosing the performance, resource usage, and power consumption of the information that is focused. The provision of virtual machines in the cloud-primarily focuses on fundamental enhancement issues in distributed computing, specifically once the cloud foundation is made for accessing the resources from portable and handled devices. Resource arranging upheld service level agreement in distributed computing is an NP-hard drawback. An improved calculation multi-hold inherited maximisation (MHIM) algorithm has been introduced which is dependent on hereditary calculation-based advancement has predicted that placing a variety of resources on demand by assessing the entire group of undertakings inside the activity line can reduce the computational time. The simulation results demonstrate that there is an extinct degree of difference in execution time and the response time of MHIM algorithm compared with different scheduling algorithms.
Educational certificate verification system using blockchain International Journal of Scientific and Technology Research, 2020
Blockchain technology in food supply chain security International Journal of Scientific and Technology Research, 2020
Block chain technologies in financial sectors and industries International Journal of Scientific and Technology Research, 2019
Predicting heart disease using machine learning tools and techniques International Journal of Recent Technology and Engineering, 2019
Avoiding security vulnerability in modern web applications by means of risk mitigation strategy International Journal of Engineering and Advanced Technology, 2019
Gaming experience and their correlations when played in cloud environs Journal of Advanced Research in Dynamical and Control Systems, 2017
An investigative study for smart home security: Issues, challenges and countermeasures International Journal of Pharmacy and Technology, 2016
Cryptographic measures in smartphones International Journal of Pharmacy and Technology, 2016
Saveetha e-book learning International Journal of Pharmacy and Technology, 2016
Security in software defined networking International Journal of Pharmacy and Technology, 2016
Spatial memory of taps on the fingers International Journal of Pharmacy and Technology, 2016
Security system using ARM controller International Journal of Pharmacy and Technology, 2016
Future tech 5G virtual zero latency International Journal of Pharmacy and Technology, 2016
Sensing vehicle dynamics using drivers smart phone to keep away from physical damage International Journal of Pharmacy and Technology, 2016
Comparsion of virtual private network in smart phones International Journal of Pharmacy and Technology, 2016
A smart-watch related gesture identification device to insist users via visual flaws International Journal of Pharmacy and Technology, 2016
RECENT SCHOLAR PUBLICATIONS
EmbedCheck Algorithm: A Computational Framework for Multi-Document Semantic Text Similarity Analysis and Academic Assignment Evaluation MK DS, S Subasree, S Nivedha 2026 4th International Conference on Knowledge Engineering and Communication … , 2026 2026
Enhanced LCD Character Recognition Leveraging YOLOv11 and Modern Deep Learning Approaches D Kumar, P Senthil, M Kumar, SK Verma, JSA Johnsana, I Govindharaj 2025 International Conference on Emerging Technologies in Engineering … , 2025 2025
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MOST CITED SCHOLAR PUBLICATIONS
Educational certificate verification system using blockchain KD Kumar, P Senthil, DM Kumar international journal of scientific & technology research 9 (3), 82-85 , 2020 2020 Citations: 46
Blockchain Technology In Food Supply Chain Security AR Dinesh Kumar K, Manoj Kumar D.S INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH 9 (1), 3446-3450 , 2020 2020 Citations: 41
Block Chain Technologies In Financial Sectors And Industries MKDS Dinesh Kumar K, Komathy K INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH 8 (11), 942-946 , 2019 2019 Citations: 15
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Gaming Experience and their Correlations when Played in Cloud Environs DPS Manoj Kumar D S Journal Of Advanced Research In Dynamical And Control Systems, 200-205 , 2017 2017 Citations: 2
Early Detection of Suicidal Speculation Using XGboost Compared Catboost Enable Algorithm for Various Text Encodings on Reddit Data S Kalaiarasi, S Alagumani, DS Manoj Kumar International Conference on Intelligent Computing and Advances in … , 2024 2024 Citations: 1
EmbedCheck Algorithm: A Computational Framework for Multi-Document Semantic Text Similarity Analysis and Academic Assignment Evaluation MK DS, S Subasree, S Nivedha 2026 4th International Conference on Knowledge Engineering and Communication … , 2026 2026
Enhanced LCD Character Recognition Leveraging YOLOv11 and Modern Deep Learning Approaches D Kumar, P Senthil, M Kumar, SK Verma, JSA Johnsana, I Govindharaj 2025 International Conference on Emerging Technologies in Engineering … , 2025 2025
Multiple Object Detection on Surveillance Videos for Improving Accuracy Using Enhanced Faster R-CNN SBSV Divya G, Manoj Kumar D S Journal of Machine and Computing 3 (4), 505-516 , 2023 2023
Optimising time in cloud using multi-hold inherited maximisation algorithm to reduce computational time DSM Kumar, P Sriramya International Journal of Intelligent Enterprise 9 (3), 370-382 , 2022 2022
Optimizing time delay in cloud using enhanced multi‐hold inherited maximization algorithm to reduce cost and improve bandwidth DS Manoj Kumar, P Sriramya Expert Systems, e13073 , 2022 2022
Flexible Data Access Control using Attribute-Based Encryption and Proxy Re-Encryption in Cloud Computing AR Manoj Kumar D S, S. Venkatesan Journal of Computer Based Parallel Programming 5 (1), 24-28 , 2020 2020
Predicting Heart Disease Using Machine Learning Tools and Techniques MKDS C Ramya International Journal of Recent Technology and Engineering (IJRTE) 7 (6S4 … , 2019 2019
Avoiding Security Vulnerability in Modern Web Applications by Means of Risk Mitigation Strategy MKDS Lakshika Anjana D International Journal of Engineering and Advanced Technology (IJEAT) 8 (3S … , 2019 2019
UNCONSTRAINED FALL DETECTION UTILIZING SMART PHONES DS Manoj Kumar International Journal of Pure and Applied Mathematics 119 (16), 3429-3435 , 2018 2018
DETECTION AND AVOIDANCE OF MALICIOUS NODES IN MANET MKDS N.Bhavana,K Mouriya International Journal of Pure and Applied Mathematics 116 (21), 401-407 , 2017 2017
ENHANCED SECURITY AND INSTANT ACKNOWLEDGEMENT OF MOVING OBJECT IN SURVEILLANCE MKDS M.Keerthana, Chennakesavalu C International Journal of Pure and Applied Mathematics 116 (21), 423-429 , 2017 2017
SAVEETHA E-BOOK LEARNING MKDS Keerthana M International Journal of Pharmacy & Technology 8 (4), 21123-21129 , 2016 2016
SECURITY SYSTEM USING ARM CONTROLLER MKDS S Mounudeen International Journal of Pharmacy & Technology 8 (4), 21180-21184 , 2016 2016
SECURITY IN SOFTWARE DEFINED NETWORKING MKDS Bhupendra Singh International Journal of Pharmacy & Technology 8 (4), 20796-20801 , 2016 2016