Manjula G

@bgscet.ac.in

Associate Professor Dept of CSE
BGS College of Engineering and Technology

Manjula G


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https://researchid.co/manjulalokesh

EDUCATION

BE in CSE 2001
MTech in CSE 2010
Ph,D in CSE 2021

RESEARCH INTERESTS

Information Security,Artificial Intelligence,Machine Learning,Data Science
3

Scopus Publications

234

Scholar Citations

8

Scholar h-index

7

Scholar i10-index

Scopus Publications

  • FRAGMENTATION-ENABLED VM MIGRATION AND ENHANCED DATA SEARCHING IN BIG DATA SERVER ENVIRONMENT
    Manjula G.S., Meyyappan T.
    Archives for Technical Sciences, 2025
    The proposed research paper suggests a hybrid system to improve speed and data extraction in a large data server setup, but the focus will be on how to maximize the use of resources and provide actionable information on the unstructured data. The architecture also incorporates fragmentation-enabled virtual machine (VM) migration and high-end data searching tools to enhance the system efficiency to a high degree. A new strategy of starting VM migration is proposed, which is based on cumulative values, including temperature and CPU usage, to perform real-time and dynamic resource allocation. The system adjusts the computing workload of the physical machines that are hosting several VMs by observing these parameters and migrating them to a different physical machine in case predetermined limits are surpassed. The migration of VMs made possible by this fragmentation results in better performance and resource utilization of the system, which ensures a smooth operation within the big data server environments. Also, the architecture encompasses an improved similarity measure algorithm, which deals with the challenges of locating and mining information from unstructured data. This is the best way of optimizing the pretreatment, extraction, and representation of unstructured data, hence enhancing the accuracy and efficiency of data searches. The design supports making informed decisions in any sector with the use of data, which eases the process of retrieving meaningful information out of the multifaceted, unstructured data sources. The combined architecture in the context of big data servers has significant gains in performance and the use of resources, as well as insights into data. It offers an all-encompassing solution to improving the efficiency of the systems and deriving actionable data out of the unstructured data assets. The study's findings demonstrate an 18% improvement in data retrieval speed, a 25% reduction in resource consumption, and a 15% increase in overall system performance when compared to traditional data management techniques. Such outcomes will help to optimize the configuration of big data servers to allow organizations to make more data-driven decisions.
  • Two-Phase Privacy Preserving Big Data Hybrid Clustering for Multi-Party Data Sharing
    International Journal of Intelligent Systems and Applications in Engineering, 2023
  • DPMM: Data Privacy and Memory Management in Big Data Server using Hybrid Hashing Method
    Manjula GS, T. Meyyappan
    International Conference on Automation Computing and Renewable Systems Icacrs 2022 Proceedings, 2022
    Data deduplication (Dedup) is commonly used in the cloud to save bandwidth and storage space by removing duplicate data sets before sending. Data integrity is protected during the Dedup process by encrypting it before it is reused. This paper proposes a DPMM framework for data privacy and memory management in a big data server using a hybrid hashing method. Some programmes use Apache Hadoop because the Hadoop Distributed File System (HDFS) offers a highly dependable static imitation strategy for processing data. The limitations are each file has a different access rate, using the same imitation factor across the board can weaken the performance. Considering this limitations, a research approach has been proposed to utilize predictive examination for progressively imitating the data. So to attain greater efficiency, Dynamic Data Partial Imitation (DDPI) algorithm is implemented, which helps to avoid excessive memory consumption. In the proposed, we have executed the partial imitation technique (DPMM), i.e., the data is fragmented and stored in four Hadoop servers partially to achieve fault tolerance. The proposed method provides the user-requested files even when there is a problem in any servers by this partial imitation technique. Before the imitation process, the files uploaded are checked for duplication to avoid repetition by implementing Secure Hash Algorithm-1 and 2 (SHA1 & SHA2) that apply the hash code of data to check ownership with code verification, thus reducing the excess consumption of storage. Finally, this method is compared with existing methods of execution time for various file sizes. The implemented result demonstrates that this proposed methodology gives much more efficient performance, redundancy and overhead is received.

RECENT SCHOLAR PUBLICATIONS

  • Comment on" Machine learning-based prediction of CAC-defined cardiovascular risk using routine health examination data: a retrospective cross-sectional study in a Taiwanese …
    G Manjula, P Kaur, P Mishra
    Journal of the Formosan Medical Association= Taiwan yi zhi, S0929-6646 (26 … , 2026
    2026
  • A Hybrid Ensemble and Explainable AI Framework for Predictive Maintenance of Industrial Equipment
    M Villagomez-Galindo, G Manjula, BN Jagadeesh, M Patil, S Potharaju
    Journal of Artificial Intelligence and Technology 6, 328-336 , 2026
    2026
  • Eco-Detect: A Sustainable Solution to Advanced Waste Sorting using AI and IoT
    NP KS, G Manjula, KJ Aishwarya, KNB Prakash, VS Chandan
    2024 4th International Conference on Ubiquitous Computing and Intelligent … , 2024
    2024
    Citations: 2
  • ECODETECT ADVANCED WASTE SORTING
    G Manjula, KJ Aishwarya, VS Chandan
    MDPI , 2024
    2024
  • Forecasting of Photovoltaic Power with ARO based AI approach
    M Nallur, BM Nalini, Z Khan, S Nayana, PN Achyutha, G Manjula
    2024 International Conference on Distributed Computing and Optimization … , 2024
    2024
    Citations: 10
  • Age, gender, and regional variations in stroke epidemiology in India: a systematic review and meta-analysis
    J Joseph, BP Varkey, A Varghese, E Mathews, M Dhandapani, ...
    Indian Journal of Community and Family Medicine 10 (1), 7-17 , 2024
    2024
    Citations: 4
  • Blockchain-Aware secure lattice aggregate signature scheme
    M Rasool, A Khatri, RR Maaliw, G Manjula, MSK Varma, S Agarwal
    Artificial Intelligence, Blockchain, Computing and Security Volume 1, 653-661 , 2023
    2023
  • Reliable target tracking model employing wireless sensor networks
    HV Chaitra, M Patil, G Manjula, MK Bindiya, E Naresh
    SN Computer Science 4 (5), 446 , 2023
    2023
    Citations: 1
  • Delay optimization and energy balancing algorithm for improving network lifetime in fixed wireless sensor networks
    HV Chaitra, G Manjula, KB Vikhyath
    Physical Communication 58, 102038 , 2023
    2023
    Citations: 77
  • Application of deep neural networks for weed detection and classification
    R Ganesan, G Manjula, M Chandan, I Thamarai, S Rajavelu, UM Bhatt, ...
    2023 2nd International Conference on Applied Artificial Intelligence and … , 2023
    2023
    Citations: 7
  • Tracking the Achievements of Learning Outcomes in Foundational Years
    G Manjula, P Yadav, R Asawa, S Dutta
    2023
  • The National Education Policy of India (2020): Reform in Nursing Education?
    J Joseph, S Sharma, N Kalal, GB Manjula
    Journal of Medical Evidence 4 (1), 82-85 , 2023
    2023
    Citations: 3
  • A Novel Trajectory Optimisation and Joint Resource Allocation for Mobile Edge Computing with Multi-UAV-Assisted Multi-Access
    R Megha, VS Rekha, BN Jagadeesh, G Manjula, H Rekha
    NEUROQUANTOLOGY 20 (22), 3660-3669 , 2022
    2022
  • A Survey on Trajectory Optimisation and Joint Resource Allocation for Multi-UAV-Assisted Multi-Access Mobile Edge Computing
    R Megha, VS Rekha, G Manjula, U Yamuna, H Rekha, BN Jagadeesh
    Neuroquantology 20 (19), 4021-4029 , 2022
    2022
  • Deep Learning Based Image De-Noising Method
    G Manjula, BR Mohan, CD Guruprakash, VS Rekha, G Nirmala
    NeuroQuantology 20 (13), 3900-3906 , 2022
    2022
  • Potential Sustainability in Storing Cloud Data with Privacy Preservation Scheme over E-Records in HealthCare Systems.
    G Manjula, N Kalyani, S Vijitha, A Packialatha, J Preethi
    International Journal of Early Childhood Special Education 14 (5) , 2022
    2022
  • A Block Chain Based Health Care system for Pneumonia Disease Prediction.
    G Manjula, N Kalyani, S Vijitha, A Packialatha, J Preethi
    Journal of Algebraic Statistics 13 (3) , 2022
    2022
  • IOT enabled weedicide control using image processing at agriculture field
    G Manjula, P Visu, S Chakaravarthi
    EAI Endorsed Transactions on Smart Cities 5 (16), e5 , 2022
    2022
    Citations: 1
  • State-of-the-Art Analysis and Research Direction towards Secure Mobile Edge Computing in Transport System
    AAK Kumbhar, G Manjula, RR Kulkarni, PP Patavardhan
    Machine Learning Algorithms for Intelligent Data Analytics, 137 , 2022
    2022
  • Implementation of smart parking application using IoT and machine learning algorithms
    G Manjula, G Govinda Rajulu, R Anand, JT Thirukrishna
    Computer Networks and Inventive Communication Technologies: Proceedings of … , 2021
    2021
    Citations: 22

MOST CITED SCHOLAR PUBLICATIONS

  • Delay optimization and energy balancing algorithm for improving network lifetime in fixed wireless sensor networks
    HV Chaitra, G Manjula, KB Vikhyath
    Physical Communication 58, 102038 , 2023
    2023
    Citations: 77
  • Constructing key dependent dynamic S-Box for AES block cipher system
    G Manjula, HS Mohan
    2016 2nd international conference on applied and theoretical computing and … , 2016
    2016
    Citations: 54
  • Implementation of smart parking application using IoT and machine learning algorithms
    G Manjula, G Govinda Rajulu, R Anand, JT Thirukrishna
    Computer Networks and Inventive Communication Technologies: Proceedings of … , 2021
    2021
    Citations: 22
  • Improved Dynamic S-Box generation using Hash function for AES and its performance analysis
    DMHS Manjula G
    2nd IEEE International Conference on Green Computing and Internet of Things … , 2018
    2018
    Citations: 19
  • Automatic Waste Management and segregation system using IoT
    AM Namratha, S Nandini, K Nanditha, C Meghashree, G Manjula
    International Journal of Engineering and Technology, NCCDS-2021 Conference … , 2021
    2021
    Citations: 12
  • Forecasting of Photovoltaic Power with ARO based AI approach
    M Nallur, BM Nalini, Z Khan, S Nayana, PN Achyutha, G Manjula
    2024 International Conference on Distributed Computing and Optimization … , 2024
    2024
    Citations: 10
  • A Secure Framework For Medical Image Encryption Using Enhanced AES Algorithm
    DMHS Manjula G
    INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH 9 (2), 3837-3841 , 2020
    2020
    Citations: 10
  • Probability based Selective Encryption scheme for fast encryption of medical images
    DMHS Manjula G
    3rd International Conference on Advance Informatics for Computing Research, 1-7 , 2019
    2019
    Citations: 9
  • Application of deep neural networks for weed detection and classification
    R Ganesan, G Manjula, M Chandan, I Thamarai, S Rajavelu, UM Bhatt, ...
    2023 2nd International Conference on Applied Artificial Intelligence and … , 2023
    2023
    Citations: 7
  • Age, gender, and regional variations in stroke epidemiology in India: a systematic review and meta-analysis
    J Joseph, BP Varkey, A Varghese, E Mathews, M Dhandapani, ...
    Indian Journal of Community and Family Medicine 10 (1), 7-17 , 2024
    2024
    Citations: 4
  • The National Education Policy of India (2020): Reform in Nursing Education?
    J Joseph, S Sharma, N Kalal, GB Manjula
    Journal of Medical Evidence 4 (1), 82-85 , 2023
    2023
    Citations: 3
  • A study of Different methods of attacking and defending Cryptosystems
    DMHS Manjula G
    International Journal of Advanced Research in Computer and Communication … , 2017
    2017
    Citations: 3
  • Eco-Detect: A Sustainable Solution to Advanced Waste Sorting using AI and IoT
    NP KS, G Manjula, KJ Aishwarya, KNB Prakash, VS Chandan
    2024 4th International Conference on Ubiquitous Computing and Intelligent … , 2024
    2024
    Citations: 2
  • Reliable target tracking model employing wireless sensor networks
    HV Chaitra, M Patil, G Manjula, MK Bindiya, E Naresh
    SN Computer Science 4 (5), 446 , 2023
    2023
    Citations: 1
  • IOT enabled weedicide control using image processing at agriculture field
    G Manjula, P Visu, S Chakaravarthi
    EAI Endorsed Transactions on Smart Cities 5 (16), e5 , 2022
    2022
    Citations: 1
  • Comment on" Machine learning-based prediction of CAC-defined cardiovascular risk using routine health examination data: a retrospective cross-sectional study in a Taiwanese …
    G Manjula, P Kaur, P Mishra
    Journal of the Formosan Medical Association= Taiwan yi zhi, S0929-6646 (26 … , 2026
    2026
  • A Hybrid Ensemble and Explainable AI Framework for Predictive Maintenance of Industrial Equipment
    M Villagomez-Galindo, G Manjula, BN Jagadeesh, M Patil, S Potharaju
    Journal of Artificial Intelligence and Technology 6, 328-336 , 2026
    2026
  • ECODETECT ADVANCED WASTE SORTING
    G Manjula, KJ Aishwarya, VS Chandan
    MDPI , 2024
    2024
  • Blockchain-Aware secure lattice aggregate signature scheme
    M Rasool, A Khatri, RR Maaliw, G Manjula, MSK Varma, S Agarwal
    Artificial Intelligence, Blockchain, Computing and Security Volume 1, 653-661 , 2023
    2023
  • Tracking the Achievements of Learning Outcomes in Foundational Years
    G Manjula, P Yadav, R Asawa, S Dutta
    2023