• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2021.05a
• /
• pp.297-298
• /
• 2021

The construction industry is a representative high levels of hazardous work environment, and the number of disasters in the construction industry is the highest compared to other industries. Information & Communication Technology(ICT) convergence technologies are being introduced worldwide, and this study considers ICT-based safety management cases at domestic and foreign, resulting in a list of technologies to recognize and resolve to construction site hazards. Technologies such as 「Development of hazard map considering cause, age, proficiency, type and timing of accident in construction industry」, 「Development of hazard map-based accident prediction platform using AI」, 「Development of smart safety management plan for whole construction work cycle」, 「Development of intelligent safety devices and smart safety equipment for mitigating hazard factors」 were derived as smart construction technologies that could solve this problem.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2023.05a
• /
• pp.203-204
• /
• 2023

The construction industry is a hazardous environment in which many field workers work. Therefore, there is a limit to the safety manager's grasp of all situations. In order to solve these problems, the application of automatic control technology in connection with AI and CCTV is being introduced, and the development of intelligent CCTV to reduce the safety accident rate is actively progressing. This study seeks to present future directions by identifying the current status of intelligent CCTV developed to reduce the safety accident rate at construction sites and analyzing its limitations. Through this, the range of accident prevention types of the safety control system at the construction site will be confirmed and the need for future intelligent CCTV function development will be suggested.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2023.11a
• /
• pp.237-238
• /
• 2023

Urbanization and the increase in building scale have amplified the complexity of M.E.P design. Traditional design methods face limitations when considering intricate pathways and variables, leading to an emergent need for research in automated design. Initial algorithmic approaches encountered challenges in addressing complex architectural structures and the diversity of M.E.P types. However, with the launch of OpenAI's ChatGPT-3.5 beta version in 2022, new opportunities in the automated design sector were unlocked. ChatGPT, based on the Large Language Model (LLM), has the capability to deeply comprehend the logical structures and meanings within training data. This study analyzed the potential application and latent value of LLMs in M.E.P design. Ultimately, the implementation of LLM in M.E.P design will make genuine automated design feasible, which is anticipated to drive advancements across designs in the construction sector.

• Journal of Korean Association for Spatial Structures
• /
• v.22 no.2
• /
• pp.19-27
• /
• 2022

Visual inspection methods have limitations, such as reflecting the subjective opinions of workers. Moreover, additional equipment is required when inspecting the high-rise buildings because the height is limited during the inspection. Various methods have been studied to detect concrete cracks due to the disadvantage of existing visual inspection. In this study, a crack detection technology was proposed, and the technology was objectively and accurately through AI. In this study, an efficient method was proposed that automatically detects concrete cracks by using a Convolutional Neural Network(CNN) with the Orthomosaic image, modeled with the help of UAV. The concrete cracks were predicted by three different CNN models: AlexNet, ResNet50, and ResNeXt. The models were verified by accuracy, recall, and F1 Score. The ResNeXt model had the high performance among the three models. Also, this study confirmed the reliability of the model designed by applying it to the experiment.

• Journal of Korean Association for Spatial Structures
• /
• v.23 no.2
• /
• pp.69-78
• /
• 2023

This paper investigates the effects of aspect ratio and volume fraction of hooked-end normal-strength steel fibers on the compressive and flexural properties of high-strength concrete with specified compressive strength of 60 MPa. Three types of hooked-end steel fibers with aspect ratios of 64, 67 and 80 were considered and three volume fractions of 0.25%, 0.50% and 0.75% for each steel fiber were respectively added into each high-strength concrete mixture. The test results indicated that the addition of normal-strength steel fibers is effective to improve compressive and flexural properties of high-strength concrete but fiber aspect ratio had little effect on the modulus of elasticity and compressive strength. As steel fiber content and aspect ratio increased, flexural beahvior of notched high-strength concrete beams was effectively improved.

• Journal of the Earthquake Engineering Society of Korea
• /
• v.27 no.6
• /
• pp.303-310
• /
• 2023

The equivalent static load for non-structural elements has a limitation in that the sloshing effect and the interaction between the fluid and the water tank cannot be considered. In this study, the equations to evaluate the impulse and convective components in the design codes and previous research were compared with the shaking table test results of a rectangular water tank with flexible wall panels. The conclusions of this study can be summarized as follows: (1) It was observed that the natural periods of the impulsive component according to ACI 350.3 were longer than system identification results. Thus, ACI 350.3 may underestimate the earthquake load in the case of water tanks with flexible walls. (2) In the case of water tanks with flexible walls, the side walls deform due to bending of the front and back walls. When such three-dimensional fluid-structure interaction was included, the natural period of the impulsive component became similar to the experimental results. (3) When a detailed finite element (FE) model of the water tank was unavailable, the assumption S_ai = S_DS could be used, resulting in a reasonably conservative design earthquake load.

• Journal of architectural history
• /
• v.3 no.1
• /
• pp.123-142
• /
• 1994

This paper is a part of "A Case Study on The Dwellings and Settlement of Korean Immigrants to North-Eastern Province of China". Among various subjects from the study, this paper covers with the spaces and life style in the dwellings of Korean Immigrants. The purpose of this paper is to discribe how their dwelling culture has been moved and changed to a new environment. One rural village of Korean Immigrants named "Ch'ang-ts'ai" in Yen-pien Province was selected where we investigated more than 110 households. From the formal interview, I collect the data on the family structure, family economic state, dwelling spaces and its use, and dwelling facillities and furniture. From informal interview with key informants, I analyze how they have changed their dwelling spaces and life style since they moved here. Based on the analysis of the data, I conclude that major features of their dwelling and life style has been moved from Korean penninsula, specially from 'Hamkyong' Province where their ancestor has lived. This features are summarized as follows: a. Dwelling spaces and its functions are simillar to typical dwelling type of Hamkyong Province. b. They use "Chong-ji" for both a cooking space and a major living space. c. They have a life style of sitting on the floor. d. Bedrooms are differentiated with male and female. e. Most of their dwelling facillities and furniture arc different from those of Chinese in the same province. Since they immigrated, there has been some social changes which could influence on making their dwelling culture. But they have preserved their cultural identity on their dwellings and life style. So I suggest that the dwelling culture of a society would be seldom changed by immigration, as long as they will be given similar conditions such as the independent ethnic community, the same ecosystem, and economical autonomy.

• Architectural research
• /
• v.24 no.1
• /
• pp.1-11
• /
• 2022

As the occurrence of a crime is dependent on different factors, their correlations are beyond the ordinary cognitive range. Owing to this limitation, systems face difficulty in correlating various factors, thereby requiring the assistance of artificial intelligence (AI) to overcome such limitations. Therefore, AI has become indispensable for crime prediction. Crimes can cause severe and irrevocable damage to a society. Recently, big data has been introduced for developing highly accurate models for crime prediction. Prediction of night crimes should be given significant consideration, because crimes primarily occur during nights, when the spatiotemporal characteristics become vulnerable to crimes. Many environmental factors that influence crime rate are applied for crime prediction, and their influence on crime rate may differ based on temporal characteristics and the nature of crime. This study aims to identify the environmental factors that influence sex and theft crimes occurring at night and proposes an artificial neural network (ANN) model to predict sex and theft crimes at night in random areas. The crime data of A district in Seoul for 12 years (2004-2015) was used, and environmental factors that influence sex and theft crimes were derived through multiple regression analysis. Two types of crime prediction models were developed: Type A using all environmental factors as input data; Type B with only the significant factors (obtained from regression analysis) as input data. The Type B model exhibited a greater accuracy than Type A, by 3.26 and 9.47 % higher for theft and sex crimes, respectively.

• International Journal of High-Rise Buildings
• /
• v.13 no.1
• /
• pp.97-102
• /
• 2024

In this paper, we would like to share our ongoing research on global population and demographic shifts and the corresponding need for diverse responses. As population growth varies worldwide, the pressing issue is the current global housing shortage. The USA alone lacks 4 million homes, underlining the urgency for new construction and renewal of existing. Our focus is primarily on new building processes, which must also incorporate elements of renewal for future sustainability. Our research addresses several key questions: How will roles for construction professionals change? What should be the primary goal of the design process? What types of technologies are currently available, and which aspects of the process can be enhanced with AI? A significant part of our study is exploring sustainable building methods that reduce embodied carbon and increase speed of construction. Our goal is to extend the transition from smart homes to cities, analyzing the evolution towards smart communities and cities. A critical aspect of our research is the 'kit of parts concept, involving prefabrication and modular construction. This approach is essential for both rebuilding and new projects, potentially lowering costs in manufacturing and design for long term. Lastly, we present a detailed comparison of the construction industry with manufacturing.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.19 no.1
• /
• pp.119-126
• /
• 2024

In building information model (BIM), it is difficult to train an artificial intelligence (AI) model due to the lack of sufficient data about individual projects in an architecture firm. In this paper, we present a methodology to correctly train an AI neural network model based on a large language model (LLM) to predict the steel structure product weight ratios in BIM. The proposed method, with the aid of the LLM, can overcome the inherent problem of limited data availability in BIM and handle a combination of natural language and numerical data. The experimental results showed that the proposed method demonstrated significantly higher accuracy than methods based on a smaller language model. The potential for effectively applying large language models in BIM is confirmed, leading to expectations of preventing building accidents and efficiently managing construction costs.