• Journal of the Korean institute of surface engineering
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• v.56 no.6
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• pp.353-370
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• 2023

Corrosion detection and analysis is a very important topic in reducing costs and preventing disasters. Recently, image processing techniques have been widely applied to corrosion identification and analysis. In this work, we briefly introduces traditional image processing techniques and machine learning algorithms applied to detect or analyze corrosion in various fields. Recently, machine learning, especially CNN-based algorithms, have been widely applied to corrosion detection. Additionally, research on applying machine learning to region segmentation is very actively underway. The corrosion is reddish and brown in color and has a very irregular shape, so a combination of techniques that consider color and texture, various mathematical techniques, and machine learning algorithms are used to detect and analyze corrosion. We present examples of the application of traditional image processing techniques and machine learning to corrosion detection and analysis.

• Journal of KIBIM
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• v.13 no.4
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• pp.36-44
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• 2023

Recently in Korea, efforts are underway to enhance smart construction by implementing Building Information Modeling (BIM) comprehensively across all sectors of the construction industry. This study focused on the adoption of BIM for prefab bridges currently executed in the industry and It examined the process of creating a BIM-based prefab bridge model that can support production. Additionally, it explored how prefab products made by manufacturers can be integrated with road alignments using BIM technology and how the DfMA (Design for Manufacturing and Assembly) approach, which supports production based on designed information, can be adopted. The process of creating the prefab bridge model aims to shorten production time, reduce costs, and enhance quality by leveraging digital information related to design and manufacturing within the BIM framework

• International Journal of High-Rise Buildings
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• v.12 no.4
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• pp.343-350
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• 2023

With the advent of the recent Fourth Industrial Revolution, efforts are vigorously underway to comprehend the new paradigm of Construction 4.0, following in the footsteps of Industry 4.0, and to establish novel production systems. The necessity and significance of technological advancements in the field of construction automation and robotics, a pivotal component for Construction 4.0, are being emphasized. This paper aims to discuss the concept of construction automation and robotics, encompassing its past, present, and future prospects. Particularly, it reviews the six relevant papers featured in the June 2022 special issue of IJHRB, along with discussions on the integration of cutting-edge ICT technologies and R&D in the realm of automation and robotics. With the progression of ICT technology, the domain of construction automation and robotics is anticipated to play a substantial role in the realization of Construction 4.0 and smart construction through more dynamic convergence in technological development.

• Journal of Digestive Cancer Research
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• v.12 no.1
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• pp.6-14
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• 2024

Gastric cancer is the 4th leading cause of death worldwide. The primary cause of gastric cancer is known to be Helicobacter pylori (H. pylori). The advancement of molecular biology has enabled the identification of microbiomes that could not be confirmed through cultivation, and it has been revealed that the microbial communities vary among normal mucosa, atrophic gastritis, intestinal metaplasia, and gastric cancer. It has also been confirmed that the composition of the microbial community differs depending on the presence or absence of H. pylori. Whether changes in the microbiome are causative factors in the carcinogenesis process is not yet clear. Experiments using animal models and in vitro studies on the role of microbes other than H. pylori in the carcinogenic process are underway, but the data is still insufficient.

• IEMEK Journal of Embedded Systems and Applications
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• v.19 no.2
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• pp.101-106
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• 2024

For the commercialization of automated vehicles, it is necessary to create various scenarios that can evaluate driving safety and establish a data system that can verify them. Depending on the vehicle's ODD (Operational Design Domain), there are numerous scenarios with various parameters indicating vehicle driving conditions, but no systematic methodology has been proposed to create and combine scenarios to test them. Therefore, projects are actively underway abroad to establish a scenario library for real-world testing or simulation of autonomous vehicles. However, since it is difficult to obtain data, research is being conducted based on simulations that simulate real road. Therefore, in this study, parameters calculated through individual vehicle trajectory data extracted based on roadside CCTV image-based driving environment DB was proposed through the extracted data. This study can be used as basic data for safety standards for scenarios representing various driving behaviors.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.11a
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• pp.163-164
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• 2023

The active promotion of construction technology application, aimed at cost reduction, construction time shortening, and performance enhancement during the implementation of Value Engineering (VE) in design, is underway. However, in the process of deriving VE ideas, it is common to simply reuse VE ideas from similar past construction projects, and the application of construction technology is often insufficient. Therefore, in this study, we intend to establish a database linking construction technology information with Building Information Modeling (BIM) models to activate the application of construction technology in the process of deriving VE ideas.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.11a
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• pp.75-76
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• 2023

In the cement industry, various research initiatives are underway to achieve carbon neutrality. Mineral carbonation is a technology that converts carbon dioxide into minerals for storage, and CO₂ reactive hardening cement is a type of cement that incorporates mineral carbonation technology. In this study, we aimed to manufacture CO₂ reactive hardening cement for reducing carbon emissions in the cement industry by utilizing waste concrete powder generated in the construction sector.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.11a
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• pp.231-232
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• 2023

It is important to utilize an efficient quality management platform because the management of deadlines at construction sites requires rapid and accurate processing of numerous defect data in a short time. In this study, 30 domestic patents for defect management and image analysis were analyzed to examine the development status of quality management platforms using mobile devices. As a result of the analysis, research on automatically detecting defects using artificial intelligence has been actively underway in recent years, and advanced IT technologies have been converging in various ways into linked services.

• Journal of Space Technology and Applications
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• v.3 no.4
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• pp.301-321
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• 2023

The Journal of Astronomy and Space Sciences (JASS) has published research papers on a range of topics since its initial publication in 1984, giving space science researchers a platform. In this paper, we reviewed recent publications (2019-2023) that deal with the space environment. In the space environment field, we reviewed 37 papers published in JASS during this time, covering research topics such as the sun, magnetosphere, ionosphere, atmosphere, and space radiation. We hope that researchers in the field will make use of this in the future as it will allow us to share the most recent trends in the field of space environment research that is currently underway.

• Electronics and Telecommunications Trends
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• v.39 no.3
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• pp.79-86
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• 2024

Digital twins are gaining attention and traction across various industries and societies owing to their potential for technological advancement, utilization, and service innovation. Digital twins involve creating a software system that mirrors a real-world entity, enabling them to interact and cooperate, therfore resembling interaction between a real-world entity and a digital twin. By recognizing the importance of this technology, international standardization efforts for digital twins are actively underway toward enhancing its application across various industrial sectors. We aims to provide an overview of the current status and future prospects of digital twin standardization, focusing on the ISO/TC 184/SC 4 and ISO/IEC JTC 1/SC 41 efforts.