Series-1 (Mar. – Apr. 2026)Mar. – Apr. 2026 Issue Statistics
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Abstract : The primary aim of this study is to design an encryption–decryption algorithm that integrates Bhāskara’s cyclic technique, XOR operations, and LU factorization of a non-singular matrix for structured key generation. A comprehensive numerical illustration is provided to verify the accuracy, reversibility, and practical applicability of the proposed scheme. This research demonstrates a constructive synthesis between traditional Indian mathematical knowledge systems (IKS) and contemporary lightweight cryptographic methodologies.
Keywords: Bhāskara’s Cyclic Technique, XOR Logic, LU decomposition of a Matrix, Cryptography
[1].
Chandulal A.: Some Introduction To Bhaskara – II (1114-1185), International Journal Of Multidisciplinary Educational Research, ISSN:2277-7881, Volume:13, Issue:6(1), June: 2024, Pp. 158-165.
[2].
Dixit Sandeep, Dobahl Girish, Pandey Shweta: Encrypt And Decrypt Messages Based On LU Decomposition Using Multiple Keys, International Journal Of Scientific & Technology Research, ISSN 2277-8616, Vol. 8, Issue 11, November 2019 Pp. 3347-3351.
[3].
Forouzan Behrouz A: Cryptography & Network Security, Mcgraw Hill Education, 2007.
[4].
Garg Satish Kumar: Cryptography Using XOR Cipher, Research Journal Of Science And Technology, ISSN 0975-4393 (Print), Vol. 09, Issue-01, January -March 2017.
[5].
Kahate Atul: Cryptography And Network Security, Tata Mcgraw Hill, New Delhi, 2008.
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Abstract : This study proposes a novel EOQ-based inventory model for deteriorating items under seasonal demand Variation, inflation, and investment in preservation technology Demand is modeled time- dependent Seasonal function while deterioration is treated as controllable through preservation efforts, Creating a cost-benefit trade-off between technology investment and spoilage reduction. The time value of money and inflation are incorporated using a discounted Cash flow approach to reflect realistic economic condition. A Comprehensive total Cost function is formulated including Ordering, holding, deterioration, preservation investment and inflation-adjusted costs.......
Keywords: Perishable inventory System, Seasonal demand, Preservation technology optimization, Inflation-adjusted costs, EOQ model, Deterioration control.
[1].
Abad, P.L. (2000): Optimal Lot Size For A Perishable Good Under Condition Of Neither Production And Partial Backordering And Lost Sale. Computer & Industrial Engineering, Pp457-465
[2].
Buzacott (1975): Deteriorating Inventory Model With Variable Holding Cost And Price Dependent Time Varying Demand. Operational Research Quarterly, 26(3), 553-558
[3].
Covert, R.P. & Philip. GC. (1973). An EOQ Model For Items With Weibull Distribution Deterioration. Alle Transactions, 5(4), 323-326
[4].
Donaldson, W.A (1977). Inuentory Replenishment Policy For A Linear Bend In Demand: An Analytical Solution. Operational Research Quarterly, 28(3), 663-670
[5].
Dye, CY. And Ouyang, L.Y (2005): An EOQ Model For Perishable Item Under Stock Dependent Selling Rate And Time-Dependent Partial Backlogging. European Journal Of Operation Research, 163, PP776-783
