https://www.syncsci.com/journal/RIMA/issue/feedResearch on Intelligent Manufacturing and Assembly2024-08-05T10:04:48+08:00Snowy Wangsnowy.wang@syncsci.comOpen Journal Systems<p><em><strong>Research on Intelligent Manufacturing and Assembly</strong></em> (RIMA) (eISSN: 2972-3329) is an international, peer-reviewed, open access journal dedicated to the latest advancements in intelligent manufacturing and assembly. RIMA serves as a critical bridge between cutting-edge research and practical applications, fostering collaboration between the academic community and industry practitioners. The journal aims to publish high-impact research that pushes the boundaries of knowledge in the design, analysis, manufacturing, and operation of intelligent systems and equipment. RIMA focuses on innovative technologies and methodologies that are transforming the manufacturing landscape, driving efficiency, precision, and sustainability in industrial processes. By publishing rigorous research and fostering a vibrant community of scholars and practitioners, RIMA aims to be the go-to resource for advancing the state-of-the-art in intelligent manufacturing and assembly.</p> <p>Topics of interest include, but are not limited to the following: <br>• Digital design and manufacturing <br>• Theories, methods, and systems for intelligent design <br>• Advanced processing techniques <br>• Modelling, control, optimization, and scheduling of systems <br>• Manufacturing system simulation and digital twin technology <br>• Industrial control systems and the industrial Internet of Things (IIoT) <br>• Safety and reliability assessment <br>• Robotics and automation <br>• Artificial intelligence and machine learning in manufacturing <br>• Supply chain optimization and management <br>• Additive manufacturing and materials science <br>• Cybersecurity and data privacy in manufacturing <br>• Sustainability and circular economy in manufacturing <br>• Bio-fabrication and other advanced manufacturing methods <br>• Digital Workforce and Automation <br>• <em>etc. </em></p>https://www.syncsci.com/journal/RIMA/article/view/RIMA.2023.01.004Bioenergetic analysis and anthropometric evaluation of bra-breast interface for improved design and breast health2024-08-05T10:04:48+08:00Farah Hamandihamandi.3@wright.eduTaylor Poolereditor@syncsci.comAlicia Runsereditor@syncsci.comCarmen Asmaneditor@syncsci.comRachel Baileyeditor@syncsci.comNicole Robinsoneditor@syncsci.comTarun Goswamitarun.goswami@wright.edu<p>Bioenergetics analysis of bra-breast Interface is an important technique for improving the design of bras and promoting breast health and comfort during physical activity. The objective of this study is to evaluate the compatibility between the anatomy of the breasts and bra. The study encompasses breast anthropometry via measurement. A measurement topology was proposed to determine breast mass, volume, shape, and asymmetry under loading (with-bra) and unloading (without-bra). Using the anthropometric data, the bioenergetics of the breasts were determined and compared to the rest of the body. From the bioenergetic analysis, a larger breast could require up to 69 J of energy during walking. The average mass of a breast ranges from 500 to 1000 g. Assuming breast shape to be standard, semi-conical, semi-spherical and semi-elliptical, breast volume was determined where semi conical and semi spherical breast shapes consistently predicted lower bound volume for each breast, whereas the standard and semi elliptical breast shapes predicted higher volume for the same breasts measurements. Mathematically, the medial-lateral boundaries of the breast were described by a secant of a curve, aligned on the coronal plane, causing eccentric loading when the two breast nipples were on different transverse planes. When this variation was more than 5% volume change, asymmetric breast shapes occurred and was responsible to displace bra heterogeneously compromising fit and support. A non-linear, leaf-function describing the relationship between the breast radius and volume invoked at a given body weight. In general, the current design for a bra assumes that the breasts are symmetrical, though the current investigation proves that this is not the case. The bra needs to be redesigned to better fit women, since left and right sides are not symmetrical. This is a significant problem today, as it is estimated that nearly 80% of women wear incorrectly- sized bras; 70% wore bras that are too small, and 10% wore bras that are too big. Current investigation highlights the crucial importance of incorporating the distance between the nipples into bra design to achieve optimal support, comfort, symmetry, and minimize breast movement. It ensures that the bra cups are positioned optimally to provide effective support and enhance the natural shape of the breasts. If the current bra models are redesigned, the amount of discomfort in women could potentially decrease.</p>2024-08-05T09:59:44+08:00Copyright (c) 2024 Farah Hamandi, Taylor Pooler, Alicia Runser, Carmen Asman, Rachel Bailey, Nicole Robinson, Tarun Goswamihttps://www.syncsci.com/journal/RIMA/article/view/RIMA.2023.01.001Detection of abnormal situations in the operation of communication channels2023-03-09T10:04:27+08:00Oleg V. Chikalotchikalo@mail.ruIlya A. Obukhoviao001@mail.ru<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>2023-03-09T10:04:13+08:00Copyright (c) 2023 Oleg V. Chikalo, Ilya A. Obukhovhttps://www.syncsci.com/journal/RIMA/article/view/RIMA.2023.01.003Robotics by multimodal self-organizing ensembles of software and hardware agents with artificial intelligence2024-05-20T12:08:49+08:00Evgeniy Bryndinbryndin15@yandex.ru<p>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.</p>2024-05-20T12:08:49+08:00Copyright (c) 2024 Evgeniy Bryndinhttps://www.syncsci.com/journal/RIMA/article/view/RIMA.2023.01.002Artificial Intelligence in the 21ˢᵗ Century2024-03-01T10:57:11+08:00Zheng Gong1390465790@qq.com<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>2023-03-25T00:00:00+08:00Copyright (c) 2024 Zheng Gong