• Journal of KIBIM
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• v.13 no.4
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• pp.96-105
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• 2023

This study focuses on developing a building object recognition technology for efficient use in the remodeling of buildings constructed without drawings. In the era of the 4th industrial revolution, smart technologies are being developed. This research contributes to the architectural field by introducing a deep learning-based method for automatic object classification and recognition, utilizing point cloud data. We use a TD3D network with voxels, optimizing its performance through adjustments in voxel size and number of blocks. This technology enables the classification of building objects such as walls, floors, and roofs from 3D scanning data, labeling them in polygonal forms to minimize boundary ambiguities. However, challenges in object boundary classifications were observed. The model facilitates the automatic classification of non-building objects, thereby reducing manual effort in data matching processes. It also distinguishes between elements to be demolished or retained during remodeling. The study minimized data set loss space by labeling using the extremities of the x, y, and z coordinates. The research aims to enhance the efficiency of building object classification and improve the quality of architectural plans by reducing manpower and time during remodeling. The study aligns with its goal of developing an efficient classification technology. Future work can extend to creating classified objects using parametric tools with polygon-labeled datasets, offering meaningful numerical analysis for remodeling processes. Continued research in this direction is anticipated to significantly advance the efficiency of building remodeling techniques.

• Journal of KIBIM
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• v.7 no.2
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• pp.36-43
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• 2017

Population growth and rapid urbanization has been converting large amounts of rural vegetation into urbanized areas. This human induced change has increased temperature in urban areas in comparison to adjacent rural regions. Various studies regarding to urban heat island have been conducted in different disciplines in order to analyze the environmental issue. Especially, different types of thermal infrared remote sensing data are applied to urban heat island research. This article reviews research focusing on thermal infrared remote sensing for urban heat island and urban planning studies. Seven studies of analyses for the relationships between urban heat island and other dependent indicators in urban planning discipline are reviewed. Despite of different types of thermal infrared remote sensing data, units of analysis, land use and land cover, and other dependent variable, each study results in meaningful outputs which can be implemented in urban planning strategies. As the application of thermal infrared remote sensing data is critical to measure urban heat island, it is important to understand its advantages and disadvantages for better analyses of urban heat island based on this review. Despite of its limitations - spatial resolution, overpass time, and revisiting cycle, it is meaningful to conduct future research on urban heat island with thermal infrared remote sensing data as well as its application to urban planning disciplines. Based on the results from this review, future research with remotely sensed data of urban heat island and urban planning could be modified and better results and mitigation strategies could be developed.

• Journal of KIBIM
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• v.8 no.1
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• pp.43-55
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• 2018

Recently, there have been increasing studies on the application of digital technology, which has its focus of the irregular building. However, most of these studies have not clarified the objective of the technology and the effectiveness of professional manpower on its performance. This study analyzes actual used technology and the role of specialty contractor. It presents a framework to quantify the performance of the specialty contractor. For these purposes, this paper presents a proposed method to evaluate the activities of specialty contractors using a queueing model. As an attempt to verify the model, an actual irregular building project, in which digital fabrication is applied, is investigated during the construction phase. In order to collect the digital fabrication data, digital fabrication reports and specialty contractor's work log of project are reviewed. In addition, Digital Fabrication input personnel, productivity data are collected through interviews with experts involving in the case project. Analysis of specialty contractor's performance in digital fabrication reveals that the wait status of project participants varies probabilistically depending on the digital technology application level. The results of this study are expected to contribute toward the improvement of the production level in the construction industry.

• Journal of KIBIM
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• v.13 no.2
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• pp.16-28
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• 2023

The concept of the Metaverse has been around not only for play but also for daily use. The interest in Metaverse is increasing, and various industries such as medicine, media, and financial started to use the new technology for diverse purposes. In addition, interest in the Metaverse is increasing in the architectural industry, but not much research has been done yet. Recently, some studies started to study focusing on the architectural design of Metaverse and the technological characteristics of Metaverse. However, there are limited studies about the utilization of the Metaverse in the architectural design process or construction process. From this perspective, the study aims to analyze the applicability of the Metaverse in the architectural design process through Metaverse case studies. In order to accomplish the research goal, the study classified user experience and technology of Metaverse in the literature review and Metaverse use in other industries such as commercial, medical, media entertainment, and construction industry. Then, this study analyzes six representative Metaverse platforms according to the application of Metaverse in the architectural design process. Finally, this study discussed the future direction and potential of Metaverse application in the Architectural design process.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2011.04a
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• pp.320-323
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• 2011

본 논문에서는 BIM의 기술 중 하나인 DMU(Digital Mock-Up)을 실제 프로젝트에 적용하여 업무 효율에 기여한 결과를 소개한다. 삼성물산 건설부문의 경우 DMU는 건설 프로젝트의 입찰단계 및 시공계획 단계에서 적용되어 많은 성과를 거두었다. 입찰단계의 경우 대상 프로젝트의 교량, 터널 등의 구조물을 실제와 같은 지형조건 및 설계 조건으로 모델링하여 프로젝트의 개요 파악, 정보의 공유, 선정된 공법의 효과 분석 등에 적용하였으며 시공단계에서는 주로 복잡한 구조물의 철근 간섭 검토 및 효율적인 배근 방법 분석을 위한 도구로 사용되었다. 적용결과 공기단축, 원가절감, 시공성 향상에 기여하였으며, DMU는 향후 프로젝트 관리도구로 통합되어 구조물공사의 원가절감 및 생산성 향상에 기여할 것으로 예상된다.

• International Journal of High-Rise Buildings
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• v.4 no.3
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• pp.161-169
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• 2015

Experience on the construction of several 100-plus-story skyscrapers including Guangzhou West Tower, Guangzhou East Tower, and Shenzhen's KK100 is described considering the increasingly strong development trend of 100-plus-story skyscrapers in China. Difficulties in the construction of 100-plus-story skyscrapers are investigated. Four innovative construction technologies receive detailed descriptions: intelligently and entirely-jacked work platforms, formwork and suspension scaffolding systems ("jacking and formwork systems"), multi-function low-carbon concrete, 5D-BIM ("five-dimensional building information modeling"), and safe and rapid vertical transport, as they have found successful applications in actual projects. Popularized systematically as technical achievements, these technologies will significantly influence the construction of similar projects in the future, and produce more social and economic benefits.

• Journal of KIBIM
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• v.11 no.1
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• pp.1-10
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• 2021

Blockchain is a secure technology that enables transactions between parties without risking data corruption. Besides cryptocurrencies, blockchain technology is being widely adopted in various forms by diverse industries. One promising application is construction contracts. Given that construction projects are executed under strict contractual requirements, blockchain technology-based contracts can ensure that contractual requirements are executed among parties to the contract. The objective of this study is to apply blockchain technology to smart construction contracts and determine their potential feasibility in construction management. In this study, a prototype smart construction contract is presented and its applicability is explored. We conclude that smart construction contracts can be effective as a contractual tool to enhance payment flows in the construction process.

• Computers and Concrete
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• v.28 no.6
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• pp.605-619
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• 2021

Building Information Modeling (BIM) models are a powerful tool for preserving and using architectural history. Manually creating information models for such a significant number and variety of architectural monuments as Dong drum towers is challenging. The building logic based on "actual measurement construction" was investigated using the metamodel idea, and a metamodel-based automated modeling approach for the wood framework of Dong drum towers was presented utilizing programmable algorithms. Metamodels of fundamental frame kinds were also constructed. Case studies were used to verify the automated modeling's correctness, completeness, and efficiency using metamodel. The results suggest that, compared to manual modeling, automated modeling using metamodel may enhance the model's integrity and correctness by 5-10% while also reducing time efficiency by 10-20%. Metamodel and construction logic offer a novel way to investigate data-driven autonomous information-based modeling.

• Journal of KIBIM
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• v.13 no.3
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• pp.39-47
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• 2023

This study aims to introduce a model for enhancing community well-being through the utilization of public open data. To objectively assess abstract notions of residential satisfaction, text data from complaints is analyzed. By leveraging accessible public data, costs related to data collection are minimized. Initially, relevant text data containing civic complaints is collected and refined by removing extraneous information. This processed data is then combined with meaningful datasets and subjected to topic modeling, a text mining technique. The insights derived are visualized using Geographic Information System (GIS) and Application Programming Interface (API) data. The efficacy of this analytical model was demonstrated in the Godeok/Gangil area. The proposed methodology allows for comprehensive analysis across time, space, and categories. This flexible approach involves incorporating specific public open data as needed, all within the overarching framework.

• Korean Journal of Construction Engineering and Management
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• v.23 no.2
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• pp.33-44
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• 2022

The simulation function by the 4D system is a representative BIM function in the construction stage. For the 4D simulation, schedule information for each activity must be created and then linked with the 3D model. Since the 3D model created in the design stage does not consider schedule information, there are practical difficulties in the process of creating schedule information for application to the construction stage and linking the 3D model. In this study, after extracting the schedule information of the construction stage using the HDBSCAN algorithm from the 3D model in the design stage, authors propose a methodology for automatically generating schedule information by identifying precedence and sequencing relationships by applying the topological alignment algorithm. Since the generated schedule information is created based on the 3D model, it can be used as information that is automatically linked by the common parameters between the schedule and the 3D model in the 4D system, and the practical utility of the 4D system can be increased. The proposed methodology was applied to the four bridge projects to confirm the schedule information generation, and applied to the 4D system to confirm the simplification of the link process between schedule and 3D model.