https://www.syncsci.com/journal/RIMA <p><strong>Research on Intelligent Manufacturing and Assembly</strong> (RIMA) (ISSN: 2972-3329) is an open access, continuously published, international, refereed journal publishing original peer-reviewed scholarly articles that are of general significance to technologies developed and studied for design, analysis, manufacturing and operation of Intelligent Manufacturing and Intelligent Equipment to provide a vital link between the research community and practitioners in industry.</p> <p>Topics of interest include, but are not limited to the following:<br>• Digital design and manufacturing<br>• Theory, method and system of intelligent design<br>• Intelligent processing<br>• Intelligent monitoring and control<br>• Modelling, operation, control, optimization and scheduling of manufacturing system<br>• Manufacturing system simulation and digital twin<br>• Industrial control and industrial internet of things<br>• Safety critical equipment and reliability assessment<br>• Intelligent equipment<br>• Intelligent robot</p> en-US <p>Authors contributing to&nbsp;<em>Research on Intelligent Manufacturing and Assembly</em>&nbsp;agree to publish their articles under the&nbsp;<a href="http://creativecommons.org/licenses/by-nc/4.0">Creative Commons Attribution-Noncommercial 4.0 International License</a>, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit, that the work is not used for commercial purposes, and that in the event of reuse or distribution, the terms of this license are made clear.</p> snowy.wang@syncsci.com (Snowy Wang) editor@syncsci.com (Alan Tan) Thu, 09 Mar 2023 10:04:27 +0800 OJS 3.1.1.0 http://blogs.law.harvard.edu/tech/rss 60 https://www.syncsci.com/journal/RIMA/article/view/RIMA.2023.01.001 <p>Currently, many countries have high expectations for the digitalization of economies, meaning various elements of automation. One of the most effective tools in achieving a new level of digitalization can be the Internet of Things (IoT). The development of IoT provokes the fourth industrial revolution (Industry 4.0), which will be marked by the transition to fully automated digital production, the use of cyber-physical systems and cloud computing. Processes will be controlled by "smart" devices online. An example of such smart devices is modern telecommunications equipment, the operation of which accumulates large amounts of data - telemetry of various kinds. This "big data" can be used to predict possible future failures and other faults (abnormal situations) in the equipment itself. This article is devoted to the issue of creating models of normal behavior of various characteristics of communication channels, which is central in creating predictive diagnostics systems. Examples of such models are given.</p> Oleg V. Chikalo, Ilya A. Obukhov Copyright (c) 2023 Oleg V. Chikalo, Ilya A. Obukhov http://creativecommons.org/licenses/by-nc/4.0 https://www.syncsci.com/journal/RIMA/article/view/RIMA.2023.01.001 Thu, 09 Mar 2023 10:04:13 +0800 https://www.syncsci.com/journal/RIMA/article/view/RIMA.2023.01.002 <p>Artificial intelligence (AI) is the most important and interesting technology in the 21st Century due to its vast application. This review focuses on the evolution of AI techniques and their applications in recent decades. Deep learning algorithms/models, represented by Large Language Models (LLMs) have resulted in groundbreaking advancements, indicating that AI is evolving to improve its capacity to interact with and help people in various fields such as finance, medicine, and science research. The potential for research in AI is immense, and there is a need for scientific principles behind AI. Future perspectives on how machines can be developed to work with humans and to be compatible with human values and preferences are also discussed.</p> Zheng Gong Copyright (c) 2024 Zheng Gong https://creativecommons.org/licenses/by-nc/4.0 https://www.syncsci.com/journal/RIMA/article/view/RIMA.2023.01.002 Sat, 25 Mar 2023 00:00:00 +0800