International Journal of Mathematical, Engineering, Biological and Applied Computing
Tutorial | Open Access | 10.31586/ijmebac.2022.336

Role of Electronic Components in Computing

Siniša Franjić1 and Raja Marappan2
1
Independent Researcher, Croatia
2
School of Computing, SASTRA Deemed University, Thanjavur, India

Abstract

Electronics and computer engineering is a scientific and technical field in which electronic and computer systems are studied and their use. They are related to the technical professions within which electronic devices, systems, and computer programs are realized. The past half-century has been greatly marked by the development of electronics, computing, and their application in communications, medicine, and industry. This field has become the fundamental technical infrastructure of modern society. Today, there is almost no electronic device that does not use an electronic computer, and there is also not a single computer that is almost exclusively made of electronic components. This article explores the need for electronic components in digital computing.

1. Introduction

The computations are performed in the industrial domains using various software [1]. The combined hardware and software solutions are better than software that runs on the microprocessor. The digital system applies discrete values represented by on and off states in computing [2]. The advanced information services and infrastructures are developed using the latest digital technologies.

2. Electronic Components

One of the digital communication mediums is an optical fiber with data rates of 100 Gbps. In wireless area networks (WAN), an optical switch and multiplexing schemes are allowed to speed up the limits. Examples of optical sources include injection laser diode (ILD), and light-emitting diode (LED). The optical fiber cable is used for data and voice communication. The internet world runs using the components like modems, telephone lines, and dial-up services [3, 4]. The future internet requires millions of digital machines, devices, robots, sensors, digitized, smart objects, and the Internet of Things (IoT). The working environments require a set of electronics that includes actuators, processors, controllers, displays, projectors, digital cameras, systems, communicators, gateways, smartphones, and high-definition displays. Information technology involves the latest innovations in different fields such as soft and hard computing, microprocessors, microelectronics, cloud computing, telecommunications, optoelectronics, fiber optics, and semi-conductors. These findings enable the storage and processing power of a large amount of information over the wireless and wired network channels.

3. Conclusions

Electronics deals with the study and control of the flow of electrons and electronic circuits consisting of passive and active electronic elements. Passive electronic elements are resistors, capacitors, coils, active electronic tubes, transistors, diodes integrated analog and digital circuits, rectifiers, and amplifiers. Hence it is necessary to know the fundamentals of electronic system components to solve the real-world applications [5, 6, 7, 8].

References

  1. Null, Linda; Lobur, Julia (2006). The essentials of computer organization and architecture. Jones & Bartlett Publishers. p. 121. ISBN 978-0-7637-3769-6
  2. Maini. A.K. (2007). Digital Electronics Principles, Devices and Applications. Chichester, England.: John Wiley & Sons Ltd.
  3. Puers, Robert; Baldi, Livio; Voorde, Marcel Van de; Nooten, Sebastiaan E. van (2017). Nanoelectronics: Materials, Devices, Applications, 2 Volumes. John Wiley & Sons. p. 14. ISBN 9783527340538.
  4. Bassett, Ross Knox (2007). To the Digital Age: Research Labs, Start-up Companies, and the Rise of MOS Technology. Johns Hopkins University Press. p. 46. ISBN 9780801886393.
  5. Marappan, R., Sethumadhavan, G. Solving Graph Coloring Problem Using Divide and Conquer-Based Turbulent Particle Swarm Optimization. Arab J Sci Eng (2021). https://doi.org/10.1007/s13369-021-06323-x[CrossRef]
  6. Marappan, R.; Sethumadhavan, G. Complexity Analysis and Stochastic Convergence of Some Well-known Evolutionary Operators for Solving Graph Coloring Problem. Mathematics 2020, 8, 303. https://doi.org/10.3390/math8030303[CrossRef]
  7. Marappan, R., Sethumadhavan, G. Solution to Graph Coloring Using Genetic and Tabu Search Procedures. Arab J Sci Eng 43, 525–542 (2018). https://doi.org/10.1007/s13369-017-2686-9[CrossRef]
  8. R. Marappan and G. Sethumadhavan, "Solving channel allocation problem using new genetic algorithm with clique partitioning method," 2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 2016, pp. 1-4, doi: 10.1109/ICCIC.2016.7919671.[CrossRef]
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How to Cite

Franjic, S., & Marappan, R. (2022). Role of Electronic Components in Computing. International Journal of Mathematical, Engineering, Biological and Applied Computing, 1(1), 47–48. Retrieved from https://www.scipublications.com/journal/index.php/ijmebac/article/view/336

Copyright

Copyright © 2023 by authors and Science Publications. This is an open access article and the related PDF distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

  1. Null, Linda; Lobur, Julia (2006). The essentials of computer organization and architecture. Jones & Bartlett Publishers. p. 121. ISBN 978-0-7637-3769-6
  2. Maini. A.K. (2007). Digital Electronics Principles, Devices and Applications. Chichester, England.: John Wiley & Sons Ltd.
  3. Puers, Robert; Baldi, Livio; Voorde, Marcel Van de; Nooten, Sebastiaan E. van (2017). Nanoelectronics: Materials, Devices, Applications, 2 Volumes. John Wiley & Sons. p. 14. ISBN 9783527340538.
  4. Bassett, Ross Knox (2007). To the Digital Age: Research Labs, Start-up Companies, and the Rise of MOS Technology. Johns Hopkins University Press. p. 46. ISBN 9780801886393.
  5. Marappan, R., Sethumadhavan, G. Solving Graph Coloring Problem Using Divide and Conquer-Based Turbulent Particle Swarm Optimization. Arab J Sci Eng (2021). https://doi.org/10.1007/s13369-021-06323-x[CrossRef]
  6. Marappan, R.; Sethumadhavan, G. Complexity Analysis and Stochastic Convergence of Some Well-known Evolutionary Operators for Solving Graph Coloring Problem. Mathematics 2020, 8, 303. https://doi.org/10.3390/math8030303[CrossRef]
  7. Marappan, R., Sethumadhavan, G. Solution to Graph Coloring Using Genetic and Tabu Search Procedures. Arab J Sci Eng 43, 525–542 (2018). https://doi.org/10.1007/s13369-017-2686-9[CrossRef]
  8. R. Marappan and G. Sethumadhavan, "Solving channel allocation problem using new genetic algorithm with clique partitioning method," 2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 2016, pp. 1-4, doi: 10.1109/ICCIC.2016.7919671.[CrossRef]