The advancement of technology has heralded novel computing devices and gadgets like self-driving cars, IoT devices, and autonomous systems. These advancements required high computational demand in achieving its goals. In matching the high computational demand of these new technologies, machine learning, parallelism, multicore processing and scaling are some of the approaches and techniques put in place. However, there is a pressure on the architectural development of recent computing devices as the traditional transistors seem to be fast outgrown. This article examines the reliability of autonomous systems using the PRISMA approach. Autonomous systems are systems that can fully operate and perform operations (computational or otherwise) with minimal human intervention. They are also capable of evaluating their performance. Thus, there is a need for a high degree of reliability. Several existing autonomous systems were reviewed and reliability issues of these systems were discussed. It was discovered that the reliability of a complex system is dependent on the reliability of underlying individual components and compromise of any of the underlying components of the autonomous system can affect the overall reliability of the entire system. The effort to enhance the reliability of these components will, in turn, improve the reliability of the entire system.
| Published in | American Journal of Artificial Intelligence (Volume 4, Issue 1) |
| DOI | 10.11648/j.ajai.20200401.13 |
| Page(s) | 30-35 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2020. Published by Science Publishing Group |
Autonomous, Complex Systems, Components, Reliability
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APA Style
Kalesanwo Olamide, Kuyoro ‘Shade, Eze Monday, Awodele Oludele. (2020). Autonomous Systems and Reliability Assessment: A Systematic Review. American Journal of Artificial Intelligence, 4(1), 30-35. https://doi.org/10.11648/j.ajai.20200401.13
ACS Style
Kalesanwo Olamide; Kuyoro ‘Shade; Eze Monday; Awodele Oludele. Autonomous Systems and Reliability Assessment: A Systematic Review. Am. J. Artif. Intell. 2020, 4(1), 30-35. doi: 10.11648/j.ajai.20200401.13
AMA Style
Kalesanwo Olamide, Kuyoro ‘Shade, Eze Monday, Awodele Oludele. Autonomous Systems and Reliability Assessment: A Systematic Review. Am J Artif Intell. 2020;4(1):30-35. doi: 10.11648/j.ajai.20200401.13
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Download@article{10.11648/j.ajai.20200401.13,
author = {Kalesanwo Olamide and Kuyoro ‘Shade and Eze Monday and Awodele Oludele},
title = {Autonomous Systems and Reliability Assessment: A Systematic Review},
journal = {American Journal of Artificial Intelligence},
volume = {4},
number = {1},
pages = {30-35},
doi = {10.11648/j.ajai.20200401.13},
url = {https://doi.org/10.11648/j.ajai.20200401.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajai.20200401.13},
abstract = {The advancement of technology has heralded novel computing devices and gadgets like self-driving cars, IoT devices, and autonomous systems. These advancements required high computational demand in achieving its goals. In matching the high computational demand of these new technologies, machine learning, parallelism, multicore processing and scaling are some of the approaches and techniques put in place. However, there is a pressure on the architectural development of recent computing devices as the traditional transistors seem to be fast outgrown. This article examines the reliability of autonomous systems using the PRISMA approach. Autonomous systems are systems that can fully operate and perform operations (computational or otherwise) with minimal human intervention. They are also capable of evaluating their performance. Thus, there is a need for a high degree of reliability. Several existing autonomous systems were reviewed and reliability issues of these systems were discussed. It was discovered that the reliability of a complex system is dependent on the reliability of underlying individual components and compromise of any of the underlying components of the autonomous system can affect the overall reliability of the entire system. The effort to enhance the reliability of these components will, in turn, improve the reliability of the entire system.},
year = {2020}
}
TY - JOUR T1 - Autonomous Systems and Reliability Assessment: A Systematic Review AU - Kalesanwo Olamide AU - Kuyoro ‘Shade AU - Eze Monday AU - Awodele Oludele Y1 - 2020/04/30 PY - 2020 N1 - https://doi.org/10.11648/j.ajai.20200401.13 DO - 10.11648/j.ajai.20200401.13 T2 - American Journal of Artificial Intelligence JF - American Journal of Artificial Intelligence JO - American Journal of Artificial Intelligence SP - 30 EP - 35 PB - Science Publishing Group SN - 2639-9733 UR - https://doi.org/10.11648/j.ajai.20200401.13 AB - The advancement of technology has heralded novel computing devices and gadgets like self-driving cars, IoT devices, and autonomous systems. These advancements required high computational demand in achieving its goals. In matching the high computational demand of these new technologies, machine learning, parallelism, multicore processing and scaling are some of the approaches and techniques put in place. However, there is a pressure on the architectural development of recent computing devices as the traditional transistors seem to be fast outgrown. This article examines the reliability of autonomous systems using the PRISMA approach. Autonomous systems are systems that can fully operate and perform operations (computational or otherwise) with minimal human intervention. They are also capable of evaluating their performance. Thus, there is a need for a high degree of reliability. Several existing autonomous systems were reviewed and reliability issues of these systems were discussed. It was discovered that the reliability of a complex system is dependent on the reliability of underlying individual components and compromise of any of the underlying components of the autonomous system can affect the overall reliability of the entire system. The effort to enhance the reliability of these components will, in turn, improve the reliability of the entire system. VL - 4 IS - 1 ER -
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