Aims and Scope

Research on Intelligent Manufacturing and Assembly (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.

Topics of interest include, but are not limited to the following:
• Digital design and manufacturing
• Theory, method and system of intelligent design
• Intelligent processing
• Intelligent monitoring and control
• Modelling, operation, control, optimization and scheduling of manufacturing system
• Manufacturing system simulation and digital twin
• Industrial control and industrial internet of things
• Safety critical equipment and reliability assessment
• Intelligent equipment
• Intelligent robot

Vol 2 No 1 (2023)

Published: 2023-03-09

-- In Progress --

Abstract views: 968   PDF downloads: 415  

Page 41-51

Detection of abnormal situations in the operation of communication channels

blankpage Oleg V. Chikalo, Ilya A. Obukhov

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.

Abstract views: 295   PDF downloads: 66  

Page 60-69

Robotics by multimodal self-organizing ensembles of software and hardware agents with artificial intelligence

blankpage Evgeniy Bryndin

Self-organizing ensembles of software and hardware agents with artificial intelligence model the intellectual abilities of a person's natural intelligence. The Creator endowed man with various types of intellectual abilities: generation of meanings, perception of meanings, meaningful actions and behavior, sensory reaction to meanings, emotional reaction to meanings. Based on the synergy of various intellectual abilities, a person carries out life activities. For example, Dialogue is conducted on the basis of two intellectual abilities: the generation and perception of meanings. A multimodal self-organizing ensemble of intelligent software and hardware agents with artificial intelligence, based on existing knowledge and skills, is able to write poetry, draw pictures, give recommendations and solutions to specialists, manage production and systems in various sectors of the economy, and take part in scientific research. Multimodal ensembles of intelligent agents, modeling the functions of natural intelligence, contain a functional control structure. To ensure the safe and reliable use of multimodal ensembles of intelligent agents, they are being standardized internationally under the guidance of ISO. International standardization of multimodal ensembles of intelligent agents expands the market and reduces the risks of their use.

Abstract views: 329   PDF downloads: 182  

Pages 52-59

Artificial Intelligence in the 21ˢᵗ Century

blankpage Zheng Gong

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.

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Matthew_Chin_Heng_Chua-photo  ISSN: 2972-3329
 Abbreviation: Res Intell Manuf Assem
 Editor-in-Chief: Dr. Matthew Chin Heng Chua (Singapore)
 Publishing Frequency: Continuous publication
 Article Processing Charges (APC): 0

 Publishing Model:
Open Access