Venkatachalapathy M
@krce.ac.in
Professor/Mathematics
K.Ramakrishnan College of Engineering,Samyapuram,Tiruchirappalli.
RESEARCH INTERESTS
Fuzzy Optimization, Number Theory,Operation Research
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
M. Sumathi, M. Rajkamal, S. P. Raja, M. Venkatachalapathy, and N. Vijayaraj
World Scientific Pub Co Pte Ltd
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.
M. Venkatachalapathy, S. Muthuperumal, and R. Rajasekar
Springer Singapore
Bhiksha Gugulothu, S. Lakshmi Sankar, S. Vijayakumar, Adina Srinivasa Vara Prasad, M. Thangaraj, M. Venkatachalapathy, and T.V.Janardhana Rao
Hindawi Limited
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.
Priyanka Chattoraj, Parimala Prabhakar, Vishwanath Koti, N. Suganya Natarajan, M. Lakshminarayana, K. Arul, M. Venkatachalapathy, Maqusood Ahamed, M. Karnan, and S. Praveen Kumar
Hindawi Limited
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.
S. Muthuperumal, P. Titus, and M. Venkatachalapathy
Springer Science and Business Media LLC
A.E. Samuel and M. Venkatachalapathy
Academic Publications
This note points out how IZPM (5) for unbalanced fuzzy trans- portation problems can be improved by breaking the ties not by selecting arbi- trary.
A.E. Samuel and M. Venkatachalapathy
Academic Publications
Modifications to Vogel's Approximation Method for obtaining ini- tial solutions to the unbalanced transportation problem are described by many workers. This paper presents a simple and efficient method that is better than the existing methods, easy to understand and also can give an optimal solu- tion. The proposed method, Improved Zero Point Method (IZPM) (see (13)), is used for solving unbalanced fuzzy transportation problems by assuming that a decision maker is uncertain about the precise values of the transportation cost only. In the proposed method transportation costs are represented by trian- gular fuzzy numbers. The algorithm of the approach is detailed with suitable numerical examples. Further comparative studies of the new technique with other existing algorithms are established by means of sample problems. AMS Subject Classification: 90C08, 90C90, 90C70, 90B06, 90C29
A.E. Samuel and M. Venkatachalapathy
Academic Publications
In this paper, a new method is proposed for solving a special type of fuzzy transportation problem by assuming that a decision maker is uncertain about the precise values of transportation cost only but there is no uncertainty about