Venkatachalapathy M

@krce.ac.in

Professor/Mathematics
K.Ramakrishnan College of Engineering,Samyapuram,Tiruchirappalli.

Venkatachalapathy M


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https://researchid.co/venkatachalapathy

RESEARCH INTERESTS

Fuzzy Optimization, Number Theory,Operation Research
16

Scopus Publications

316

Scholar Citations

10

Scholar h-index

10

Scholar i10-index

Scopus Publications

  • Graph Centric Scheduling A Novel Adaptive Framework for Resource Constrained CPS
    M Elumalai, M. Venkatachalapathy, Hajar Kadhim, Sadashiv G Dapke, Sabah Abdul Wahab Sheet, M.K. Mohamed Faizal
    2025 IEEE Madhya Pradesh Section Conference Mpcon 2025, 2025
    Cyber-Physical Systems require effective real time allocation to deal with the computational and physical resources. The conventional approaches do not scale or change the dynamic limitations. It also suggests a new approach to CPS scheduling in the form of a graph-theoretic framework that models tasks and dependencies as graphs. The algorithm employs graph coloring to decrease collisions of tasks, clique partitions to schedule them temporarily simultaneously], and dominating sets to schedule resource allocation. A task as a graph is expressed as nodes and conflict as edges. It has resource-aware priority scaling and it effectively resolves timing and resource conflicts. The experimental evidence indicates that in a variety of CPS situations, the actual deadline meet and contention manage accuracies exceed 92 percent. The proposed approach results in 15-20 percent increase in the efficiency of the scheduling process in comparison to the traditional algorithms with the benefit of the increased throughput rates and reduced delays. It is a scalable, unified approach that augments responsiveness and is readily applicable in dynamic, future-oriented CPS applications.
  • Physics-Informed Fourier Neural Operators for Heat Transfer Modeling: Leveraging Partial Differential Equations for Enhanced Predictive Accuracy
    M. Nagapavani, K. Kiran Kumar, M. Venkatachalapathy, K.Abdul Razak, T Pitchaimani, B.Anitha Vijayalakshmi
    International Conference on Nexgen Networks and Cybernetics Ic2nc 2025 Proceedings, 2025
    The climate change and eco-varying causes floods that occur along the coasts to be unpredictable. The aim of this research is to create dynamic and uncertainty-conscious logic of precise prediction and control of flood risks. The research proposes Eco-Adaptive Neuro-Swarm Flood Management Framework (EANS-FM), a new framework that integrates Neuro-Swarm Diffusion Reinforcement that enables maximized and adaptive policy achievement and Probabilistic EcoAdaptive Modeling which handles ecological uncertainty. This framework is tested on the basis of the Coastal Climate Risk Dataset that consists of geospatial, climatic, and ecological characteristics. Findings indicate that EANS-FM has a prediction root of 98.98 percent with the ability of adjusting to the dynamic environmental factors and deliver dependable measurements of the flood risks. All in all, the study offers a strong, real time, and ecologically knowledgeable remedy to coastal flooding management pointing to the fact that it integrates adaptative learning and ecological uncertainty modeling into one.
  • RETRACTED ARTICLE: An algorithmic approach to solve unbalanced triangular fuzzy transportation problems (Soft Computing, (2020), 24, 24, (18689-18698), 10.1007/s00500-020-05103-3)
    S. Muthuperumal, P. Titus, M. Venkatachalapathy
    Soft Computing, 2024
  • A crop yield prediction model based on an improved artificial neural network and yield monitoring using a blockchain technique
    M. Sumathi, M. Rajkamal, S. P. Raja, M. Venkatachalapathy, N. Vijayaraj
    International Journal of Wavelets Multiresolution and Information Processing, 2022
    Nowadays, improving a crop yield ([Formula: see text]) is an emerging and essential task to reduce food scarcity. Factors impacting [Formula: see text] improvement include rising population, water shortage, fertilizer use, climate change and unprecedented insect attacks. To resolve these issues, a smart agriculture technique is proposed in this work. Internet of Things (IoT) sensor devices are used to collect data from farms, following which the fuzzy association rule-based classification technique classifies the data into two, valuable and nonvaluable. An improved artificial neural network (IANN) algorithm is applied to identify and analyze the factors involved in monitoring [Formula: see text]’s. Thereafter, all valuable data pertaining to the type of seed, fertilizer and crop cost is stored in blocks to secure data and communication between members of the farming community. Finally, an edge computing device is used to store the blocks and transfer information. The valuable data collected is classified using the fuzzy association rule and analyzed using the IANN technique, both of which facilitate a comparison with the historical data so as to enable better decision making in terms of seed and fertilizer selection. Similarly, crop price is predicted through a comparison of present and historical yields. To overcome breaches in security, a blockchain technique is employed in this work to secure communication between farmers, investors and merchants. The investor dispatches instructions on the selection of the seed and fertilizer, as well as the crop cost, through the blockchain to the farmer and the merchant. Such secure communication bypasses third-party involvement and inconsistencies in the data. When compared to the traditional method, the proposed technique offers better accuracy and profits, right from seed selection to trading. The proposed IANN technique produced a higher yield than the traditional method with a profit of 51%, 35% and 20% for rice, bananas and flowers, respectively. Similarly, the IANN technique provides 99.15% prediction accuracy in terms of a profit analysis. The blockchain and edge computing-based transactions improve security and reduce transactional latency. The proposed system ensures sustainability and traceability in agriculture.
  • An Innovative Method for Finding Optimal Solution Fully Solved by Using Generalized Quadratic Fuzzy Transportation Problems
    M. Venkatachalapathy, S. Muthuperumal, R. Rajasekar
    Studies in Fuzziness and Soft Computing, 2022
  • Blockchain Based Adaptive Resource Allocation in Cloud Computing
    Sumathi Muruganandam, Vijayaraj Natarajan, Raja Soosaimarian Peter Raj, Venkatachalapathy Maharajan
    Brazilian Archives of Biology and Technology, 2022
    Cloud computing is breakthrough technology with applications in education, industry and research. Implementing a cloud environment, however, depends on virtualization, parallel computing, resource management, service-oriented architecture, and distributed computing. The efficiency of cloud computing depends on effective resource allocation (RA). Conventional RA, from resource requests to price settlement, is handled entirely by cloud service providers (CSPs), which make it difficult for end users (EUs) to view details relating to resource availability and price. Hence, an alternative technique is required to provide an efficient RA between EU's. In this work, the blockchain (BC) technique is used for RA between the EU's without the intervention of CSP. The BC provides decentralized and secured communication between the EU's without any inconsistency. Based on demand, RA is carried out in two different ways, fixed size and variable size. In a fixed size RA, each user utilizes an equal quantity of resources at a particular time but in a variable size RA each user utilizes the varying quantity of resources based on demand. Given that the RA, chosen depends on resource availability and demand, the proposed work employs hybrid RA (Adaptive Resource Allocation) schemes such as fixed-size adaptive RA (FSARA) and variable-sized adaptive RA (VSARA). The simulation results show the comparative analysis of the proposed and existing RA techniques. When compared to existing RA techniques like optimal, greedy and iterative techniques, the proposed technique
  • Analysis of Wear Behaviour of AA5052 Alloy Composites by Addition Alumina with Zirconium Dioxide Using the Taguchi-Grey Relational Method
    Bhiksha Gugulothu, S. Lakshmi Sankar, S. Vijayakumar, Adina Srinivasa Vara Prasad, M. Thangaraj, M. Venkatachalapathy, T.V.Janardhana Rao
    Advances in Materials Science and Engineering, 2022
    The present study deals with preparation of Al hybrid metal matrix composites by the stir casting technique. In this work, Al5052 alloy was selected as the main metal which reinforces with zirconium dioxide and aluminium oxide. The wear test has been conducted on the POD apparatus. 9 specimens are produced by varying reinforcements’ percentage for conduction of tests. The amount of ZrO2 reinforcement is fixed to 8wt%, while the concentration of Al2O3 varied from 5wt% to 10wt%. The parametric optimization of wear behaviour is done through the Taguchi method with L9 orthogonal array. Minitab statistical software helped to find SN ratio and ANOVA reading for each parameter: load (N), sliding speed (rpm), and wt% of reinforcements. From the ANOVA outcome, the load parameter is the highest influencing element that improves wear resistance of made samples around 46%, followed by weight% of reinforcement 29% and sliding speed 26% as second and third influenced parameters, respectively.
  • Optimization on Tribological Behaviour of AA7178/Nano Titanium Diboride Hybrid Composites Employing Taguchi Techniques
    Priyanka Chattoraj, Parimala Prabhakar, Vishwanath Koti, N. Suganya Natarajan, M. Lakshminarayana, K. Arul, M. Venkatachalapathy, Maqusood Ahamed, M. Karnan, S. Praveen Kumar
    Journal of Nanomaterials, 2022
    This article evaluates the effect of wear parameters on composite materials. Aluminium alloy 7178 alloys with various nano titanium diboride weight percentages were prepared using stir casting. A pin-and-disc test rig was utilized to carry out the dry sliding wear test. Using Taguchi’s experiments for optimization, the L27 orthogonal array was designed (D.O.E.). The SNR and ANOVA techniques were used to identify the percentage of responses attributable to the input parameters. Both the wear rate and coefficient of friction increased with higher loading levels. This parameter, load intensity, had the most significant influence on wear rate and C.O.F. and sliding distance and velocity. Material removal was prevented at all times by nano titanium diboride particles embedded in the matrix alloy. AA7178 was treated with nano titanium diboride particles to improve its wear resistance.
  • An algorithmic approach to solve unbalanced triangular fuzzy transportation problems
    S. Muthuperumal, P. Titus, M. Venkatachalapathy
    Soft Computing, 2020
  • A special type of solving transportation problems using generalized quadratic fuzzy number
    International Journal of Scientific and Technology Research, 2020
  • Improving IZPM for unbalanced fuzzy transportation problems
    A.E. Samuel, M. Venkatachalapathy
    International Journal of Pure and Applied Mathematics, 2014
  • IZPM for unbalanced fuzzy transportation problems
    A.E. Samuel, M. Venkatachalapathy
    International Journal of Pure and Applied Mathematics, 2013
  • Improved zero point method for solving fuzzy transportation problems using ranking function
    Far East Journal of Mathematical Sciences, 2013
  • A simple heuristic for solving generalized fuzzy transportation problems
    A.E. Samuel, M. Venkatachalapathy
    International Journal of Pure and Applied Mathematics, 2013
  • A new dual based approach for the unbalanced fuzzy transportation problem
    Applied Mathematical Sciences, 2012
  • Modified Vogel's Approximation Method for Fuzzy transportation problems
    Applied Mathematical Sciences, 2011

RECENT SCHOLAR PUBLICATIONS

  • Physics-Informed Fourier Neural Operators for Heat Transfer Modeling: Leveraging Partial Differential Equations for Enhanced Predictive Accuracy
    M Nagapavani, KK Kumar, M Venkatachalapathy, KA Razak, ...
    2025 International Conference on NexGen Networks and Cybernetics (IC2NC … , 2025
    2025
  • A NEW APPROACH TO COMPARING THE RELIABILITY DISTRIBUTIONS IN A FUZZY ENVIRONMENT
    journal of basic science and engineering 21 (1), 474-490 , 2024
    2024
  • A crop yield prediction model based on an improved artificial neural network and yield monitoring using a blockchain technique
    M Sumathi, M Rajkamal, SP Raja, M Venkatachalapathy, N Vijayaraj
    International journal of Wavelets, Multiresolution and Information … , 2022
    2022
    Citations: 24
  • An Innovative Method for Finding Optimal Solution Fully Solved by Using Generalized Quadratic Fuzzy Transportation Problems
    M Venkatachalapathy, S Muthuperumal, R Rajasekar
    Fuzzy Mathematical Analysis and Advances in Computational Mathematics, 43-54 , 2022
    2022
    Citations: 1
  • Fuzzy mathematical analysis and advances in computational mathematics
    SR Kannan, M Last, TP Hong, CH Chen
    Springer , 2022
    2022
  • Research Article Optimization on Tribological Behaviour of AA7178/Nano Titanium Diboride Hybrid Composites Employing Taguchi Techniques
    P Chattoraj, P Prabhakar, V Koti, NS Natarajan, M Lakshminarayana, ...
    2022
  • Research Article Analysis of Wear Behaviour of AA5052 Alloy Composites by Addition Alumina with Zirconium Dioxide Using the Taguchi-Grey Relational Method
    B Gugulothu, SL Sankar, S Vijayakumar, ASV Prasad, M Thangaraj, ...
    2022
  • Analysis of Wear Behaviour of AA5052 Alloy Composites by Addition Alumina with Zirconium Dioxide Using the Taguchi‐Grey Relational Method
    B Gugulothu, SL Sankar, S Vijayakumar, ASV Prasad, M Thangaraj, ...
    Advances in Materials Science and Engineering 2022 (1), 4545531 , 2022
    2022
    Citations: 54
  • Optimization on tribological behaviour of AA7178/nano titanium diboride hybrid composites employing Taguchi techniques
    P Chattoraj, P Prabhakar, V Koti, NS Natarajan, M Lakshminarayana, ...
    Journal of Nanomaterials 2022 (1), 1619923 , 2022
    2022
    Citations: 21
  • Optimum Job Allocation for Design of Machines Using Row Minimum Allocation Method of Assignment Problems under Crisp and Triangular Fuzzy Numbers
    M Venkatachalapathy, M Ayyappan, S Revathi, R Neelambari
    Design Engineering, 2657-2665 , 2021
    2021
  • An Optimal Solution for Improved Method to Solving Piecewise Quadratic Fuzzy Transportation Problem.
    M Venkatachalapathy, KA Razak, M Ayyappan, K Rajakumar
    Turkish Online Journal of Qualitative Inquiry 12 (3) , 2021
    2021
  • RETRACTED ARTICLE: An algorithmic approach to solve unbalanced triangular fuzzy transportation problems
    S Muthuperumal, P Titus, M Venkatachalapathy
    Soft computing 24 (24), 18689-18698 , 2020
    2020
    Citations: 30
  • Improved Method for Optimal Solution of Unbalanced Assignment Problems under Trapezoidal Fuzzy Numbers Using Ranking Functions
    PN A. Jayaraja, M. Venkatachalapathy
    TEST Engineering & Management 83 (83), 8796-8803 , 2020
    2020
  • An Optimal Solution for Solving Unbalanced Assignment Problems Using Triangular Fuzzy Numbers
    AJ M.Venkatachalapathy, P.Nagarajan
    International Journal of Advanced Science and Technology 29 (6), 4107-4114 , 2020
    2020
  • A Special Type Of Solving Transportation Problems Using Generalized Quadratic Fuzzy Number
    SG M.Venkatachalapathy, R.Pandiarajan
    INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH 9 (02), 6344-6348 , 2020
    2020
    Citations: 12
  • A study on solving octagonal fuzzy number using the modified Vogel’s approximation method
    A Venkatachalapathy, M, A.Jayaraja, Edward Samuel
    Int J Pure Appl Math 118, 201-207 , 2018
    2018
    Citations: 9
  • A study on solving generalized trapezoidal fuzzy transportation problem with mixed constraints using ranking function
    S Muthuperumal, P Titus, M Venkatachalapathy
    Taga J 14, 2543-2547 , 2018
    2018
    Citations: 4
  • Some trends in line graphs
    M Venkatachalapathy, K Kokila, B Abarna
    Adv. Theor. Appl. Math 11 (2) , 2016
    2016
    Citations: 12
  • An alternative method for solving fuzzy transportation problems using ranking functions
    M Venkatachalapathy, AE Samuel
    International Journal of Applied Mathematical Sciences 9 (1), 61-68 , 2016
    2016
    Citations: 8
  • Improved zero point method for unbalanced FTPs
    A Samuel, M Venkatachalapathy
    International Journal of Pure and Applied Mathematics 94 (3), 419-424 , 2014
    2014
    Citations: 7

MOST CITED SCHOLAR PUBLICATIONS

  • Modified Vogel’s approximation method for fuzzy transportation problems
    AE Samuel, M Venkatachalapathy
    Applied Mathematical Sciences 5 (28), 1367-1372 , 2011
    2011
    Citations: 63
  • Analysis of Wear Behaviour of AA5052 Alloy Composites by Addition Alumina with Zirconium Dioxide Using the Taguchi‐Grey Relational Method
    B Gugulothu, SL Sankar, S Vijayakumar, ASV Prasad, M Thangaraj, ...
    Advances in Materials Science and Engineering 2022 (1), 4545531 , 2022
    2022
    Citations: 54
  • RETRACTED ARTICLE: An algorithmic approach to solve unbalanced triangular fuzzy transportation problems
    S Muthuperumal, P Titus, M Venkatachalapathy
    Soft computing 24 (24), 18689-18698 , 2020
    2020
    Citations: 30
  • A crop yield prediction model based on an improved artificial neural network and yield monitoring using a blockchain technique
    M Sumathi, M Rajkamal, SP Raja, M Venkatachalapathy, N Vijayaraj
    International journal of Wavelets, Multiresolution and Information … , 2022
    2022
    Citations: 24
  • Optimization on tribological behaviour of AA7178/nano titanium diboride hybrid composites employing Taguchi techniques
    P Chattoraj, P Prabhakar, V Koti, NS Natarajan, M Lakshminarayana, ...
    Journal of Nanomaterials 2022 (1), 1619923 , 2022
    2022
    Citations: 21
  • A new dual based approach for the unbalanced fuzzy transportation problem
    AE Samuel, M Venkatachalapathy
    Applied Mathematical Sciences 6 (89), 4443-4455 , 2012
    2012
    Citations: 20
  • A Special Type Of Solving Transportation Problems Using Generalized Quadratic Fuzzy Number
    SG M.Venkatachalapathy, R.Pandiarajan
    INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH 9 (02), 6344-6348 , 2020
    2020
    Citations: 12
  • Some trends in line graphs
    M Venkatachalapathy, K Kokila, B Abarna
    Adv. Theor. Appl. Math 11 (2) , 2016
    2016
    Citations: 12
  • A new procedure for solving generalized trapezoidal fuzzy transportation problem
    AE Samuel, M Venkatachalapathy
    Advances in Fuzzy Sets and Systems 12 (2) , 2012
    2012
    Citations: 12
  • A simple heuristic for solving generalized fuzzy transportation problems
    AE Samuel, M Venkatachalapathy
    International Journal of Pure and Applied Mathematics 83 (1), 91-100 , 2013
    2013
    Citations: 11
  • A study on solving octagonal fuzzy number using the modified Vogel’s approximation method
    A Venkatachalapathy, M, A.Jayaraja, Edward Samuel
    Int J Pure Appl Math 118, 201-207 , 2018
    2018
    Citations: 9
  • Improving IZPM for unbalanced fuzzy transportation problems
    AE Samuel, M Venkatachalapathy
    International Journal of Pure and Applied Mathematics 94 (3), 419-424 , 2014
    2014
    Citations: 9
  • Improved zero point method for solving fuzzy transportation problems using ranking function
    AE Samuel, M Venkatachalapathy
    Far East Journal of Mathematical Sciences 75 (1), 85 , 2013
    2013
    Citations: 9
  • An alternative method for solving fuzzy transportation problems using ranking functions
    M Venkatachalapathy, AE Samuel
    International Journal of Applied Mathematical Sciences 9 (1), 61-68 , 2016
    2016
    Citations: 8
  • Improved zero point method for unbalanced FTPs
    A Samuel, M Venkatachalapathy
    International Journal of Pure and Applied Mathematics 94 (3), 419-424 , 2014
    2014
    Citations: 7
  • IZPM for unbalanced fuzzy transportation problems
    AE Samuel, M Venkatachalapathy
    Int. J. Pure Appl. Math , 2013
    2013
    Citations: 7
  • A study on solving generalized trapezoidal fuzzy transportation problem with mixed constraints using ranking function
    S Muthuperumal, P Titus, M Venkatachalapathy
    Taga J 14, 2543-2547 , 2018
    2018
    Citations: 4
  • Improved zero point method for solving fuzzy transportation problems using ranking functions
    A Edward Samuel, M Venkatachalapathy
    Far East J Math Sci 75 (1), 85-100 , 2013
    2013
    Citations: 3
  • An Innovative Method for Finding Optimal Solution Fully Solved by Using Generalized Quadratic Fuzzy Transportation Problems
    M Venkatachalapathy, S Muthuperumal, R Rajasekar
    Fuzzy Mathematical Analysis and Advances in Computational Mathematics, 43-54 , 2022
    2022
    Citations: 1
  • Physics-Informed Fourier Neural Operators for Heat Transfer Modeling: Leveraging Partial Differential Equations for Enhanced Predictive Accuracy
    M Nagapavani, KK Kumar, M Venkatachalapathy, KA Razak, ...
    2025 International Conference on NexGen Networks and Cybernetics (IC2NC … , 2025
    2025