Enhancing electronics design with complex variable theory in industrial applications

Pawar, Nilesh M; Sairise, Raju M; Shipra, Kumari; Laishram, Malem Mangal; Khudaynazarov, Egambergan; Shirkande, Aparna Shrinivas

doi:10.47974/JIM-2495

Open Access Research Article

Enhancing electronics design with complex variable theory in industrial applications

Nilesh M Pawarnmp206@gmail.comDepartment of Information TechnologyYadavrao Tasgaonkar Institute of Engineering and TechnologyRaigad, Maharashtra, 410201, IndiaView full profile → , ^*Raju M SairiseCorresponding authorrairise566@gmail.comDepartment of Electronics & Telecommunication EngineeringYadavrao Tasgaonkar College of Engineering and ManagementRaigad, Maharashtra, 410201, IndiaView full profile → , Kumari Shiprakumari.shipra@niu.edu.inSchool of Engineering & TechnologyNoida International UniversityGreater Noida, Uttar Pradesh, 203201, IndiaView full profile → , Malem Mangal Laishramlaishram.mangal@symlaw.ac.inSymbiosis Law School Pune (SLS-P)Symbiosis Centre for Advanced Legal Studies and Research (SCALSAR), Symbiosis International (Deemed University)Pune, Maharashtra, 411014, IndiaView full profile → , Egambergan Khudaynazarove.xudaynazarov@mamunedu.uzDepartment of General Professional SciencesMamun UniversityKhiva, 220900, Uzbekistan0009-0000-1210-8113View full profile → , Aparna Shrinivas Shirkandekaleaparna5@gmail.comDepartment of Electronics and TelecommunicationIndapurS B Patil College of EngineeringPune, Maharashtra, 413106, IndiaView full profile →

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pp. 607–616Vol. 29Issue 3March 2026DOI: 10.47974/JIM-2495XML

Received:: 01 Apr 2025
Published Online:: 18 Mar 2026
Article type:: Research Article
Language:: EN
Article no.:: JIM-2495
Pages:: 607–616

Abstract

This essay will examine the use of complex variable theory to make the industrial electronics design more appropriate. Complex analysis is a field of mathematics that assists engineers to know more and better about solving complex problems involving electric fields, signal processing and circuit stability. The complicated factors used allow it to be easier to control and analyze AC circuits and control systems resulting in more accurate designs and more efficient operations. Simpler calculations and superiority in estimating the behavior of electronic components in various scenarios are suitable in industrial applications. The paper demonstrates how the techniques of complex variables can be applied in practice to enhance the stability of the system and the ways of the circuits optimization. The findings indicate that inclusion of the complicated variable theory in the electronics designing process is a big difference in the advancement and achievement of industrial electronics.

Keywords

Complex variable theory Electronics design Industrial applications Signal processing Circuit stability

Subject Classifications

30-0330A05

References

[1] S. Huang, B. Wang, X. Li, P. Zheng, D. Mourtzis, and L. Wang, “Industry 5.0 and Society 5.0—Comparison, complementation and co-evolution,” Journal of Manufacturing Systems, vol. 64, pp. 424–428 (2022).
[2] R. Ziatdinov, M. S. Atteraya, and R. Nabiyev, “The Fifth Industrial Revolution as a Transformative Step towards Society 5.0,” Societies, vol. 14, pp. 19 (2024).
[3] S. Rúa, R. E. Vásquez, N. Crasta, M. J. Betancur, and A. Pascoal, “Observability analysis for a cooperative range-based navigation system that uses a rotating single beacon,” Ocean Engineering, vol. 248, pp. 110697 (2022).
[4] H. Teigland, M. T. Møller, and V. Hassani, “Underwater Manipulator Control for Single Pilot ROV Control,” IFAC-PapersOnLine, vol. 55, pp. 118–123 (2022).
[5] P. Xia, H. You, and J. Du, “Visual-haptic feedback for ROV subsea navigation control,” Automation in Construction, vol. 154, pp. 104987 (2023).
[6] P. Xia, H. You, Y. Ye, and J. Du, “ROV teleoperation via human body motion mapping: Design and experiment,” Computers in Industry, vol. 150, pp. 103959 (2023).
[7] C. Zhao, P. Thies, J. Lars, and J. Cowles, “ROV launch and recovery from an unmanned autonomous surface vessel—Hydrodynamic modelling and system integration,” Ocean Engineering, vol. 232, pp. 109019 (2021).
[8] A. Laurent, The Industrial Revolution 4.0, in Towards Process Safety 4.0 in the Factory of the Future, Hoboken, NJ, USA: John Wiley & Sons, Ltd., ch. 1, pp. 1–14 (2023).
[9] S. Rahman and E. Katya, “Deep Learning for Medical Diagnosis and Prognosis,” International Journal of Advanced Computer Engineering and Communication Technology (IJACECT), vol. 12, no. 2, pp. 25–32 (Apr. 2025).
[10] H. Özköse and G. Güney, “The effects of industry 4.0 on productivity: A scientific mapping study,” Technology in Society, vol. 75, pp. 102368 (2023).
[11] G. B. Benitez, A. Ghezzi, and A. G. Frank, “When technologies become Industry 4.0 platforms: Defining the role of digital technologies through a boundary-spanning perspective,” International Journal of Production Economics, vol. 260, pp. 108858 (2023).
[12] K. Vijaya Swathi and P. Swarnalatha, “FPGA-Based Implementation of IEEE 754 Single Precision Floating Point Multiplier,” International Journal for Interdisciplinary Sciences and Engineering Applications, Volume 6, Issue 3, pp. 1–11 (2025), doi: 10.5281/zenodo.16728999
[13] Muskan and S. S. Chauhan, “A theoretical approach to find the solution of population based mathematical model,” Journal of Interdisciplinary Mathematics, vol. 27, no. 8, pp. 1735–1740 (2024).
[14] M. Javaid, A. Haleem, R. P. Singh, and R. Suman, “Substantial capabilities of robotics in enhancing industry 4.0 implementation,” Cognitive Robotics, vol. 1, pp. 58–75 (2021).
[15] D. Dhabliya, A. Lavhale, S. Thakur, R. M. Gomathi, A. Kumar, and S. De, “Enhancing cryptographic security through zero-knowledge proofs in theoretical mathematics,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 29, no. 2-B, pp. 913–921 (2026), doi: 10.47974/JDMSC-2542.
[16] A. K. Rajpoot, D. Dhabliya, V. N. Trupti, T. A. Wani, K. Gupta, and L. Lakshmanan, “Quantum cryptography assessing the security and practicality of quantum key distribution in modern communication networks,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 29, no. 2-B, pp. 979–986 (2026), doi: 10.47974/JDMSC-2549.
[17] G. Kaur, M. Kaur, J. Singh, M. M. Laishram, S. Lakhanpal, and M. Kumar, “Effective strategies for writing maintainable code in cryptographic software development,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 29, no. 2-A, pp. 609–616 (2026), doi: 10.47974/JDMSC-2503.

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