• Journal of the Architectural Institute of Korea Planning & Design
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• v.34 no.3
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• pp.129-138
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• 2018

The purpose of this study is to analyze the daily living area of the elderly using the vast amount of travel route data collected through smart phones. In order to analyze the utilization status of the elderly into the visiting area and the living area, the subway station influence area was typed based on the number and ratio of the elderly visiting and the elderly living there. The characteristics of the elderly visiting area and the living area of the subway station area were derived by analyzing the walking route data for the three types of subway station influence areas where the elderly visit and live. First, we derive the range of visiting area and living area of the elderly near the subway station. Second, we derive the characteristic of moving distance which causes the linked walking of the elderly. Third, destination distribution and facility utilization are influenced by the subject of use, movement pattern, and facility awareness.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.3
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• pp.199-206
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• 2023

This study utilizes deep learning algorithms to automatically classify construction waste into three categories: wood waste, plastic waste, and concrete waste. Two models, VGG-16 and ViT (Vision Transformer), which are convolutional neural network image classification algorithms and NLP-based models that sequence images, respectively, were compared for their performance in classifying construction waste. Image data for construction waste was collected by crawling images from search engines worldwide, and 3,000 images, with 1,000 images for each category, were obtained by excluding images that were difficult to distinguish with the naked eye or that were duplicated and would interfere with the experiment. In addition, to improve the accuracy of the models, data augmentation was performed during training with a total of 30,000 images. Despite the unstructured nature of the collected image data, the experimental results showed that VGG-16 achieved an accuracy of 91.5%, and ViT achieved an accuracy of 92.7%. This seems to suggest the possibility of practical application in actual construction waste data management work. If object detection techniques or semantic segmentation techniques are utilized based on this study, more precise classification will be possible even within a single image, resulting in more accurate waste classification

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.05a
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• pp.151-152
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• 2012

Recently, there are growing interests in building LCCO₂ Assessment to reduce carbon emissions. However, existing methods of assessment system include inefficiency in the process of CO₂ calculation requiring considerable data input. Therefore, the purpose of this study is to develop an efficient building assessment system appropriate to material production in construction stage. To that end, quantity input technology was limited to data mapping. Also quantity calculation based on work breakdown structure and item codes consisted of hierarchical structure that is based on facet classification were analyzed. As a result, connectivity links of quantity calculation and CO₂ functional units through item codes for data mapping, and assessment system including calculation and database parts were developed.

• 한국지형공간정보학회:학술대회논문집
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• 2002.11a
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• pp.175-180
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• 2002

과거 시간, 인력, 비용절약 등의 능률 우선과 양적 팽창의 성장 추구에 의하여 개발자체가 우선순위를 갖게 됨에 따라 유지관리분야는 그 중요성이 인정받지 못하고 소홀히 대하여 왔다. 하지만 건설이 일정 수준에 도달하면서 건설과 유지관리는 동등한 비중을 갖게 되며 복지 사회로 접어들면서 개발보다는 유지관리부분이 더 중요하게 인식되었다. 본 연구에서는 건축물의 유지관리를 위한 전문가적 정보시스템을 Mobile GIS를 적용하여 구축함으로서 기존의 건축물 유지관리업무의 한계성을 벗어나 현장에서 직접 데이터를 검색, 저장, 관리하여 신속하고 경제적으로 건축물을 모니터링 할 수 있는 방법을 제시하였다. 본 시스템이 구축되어 응용분야에 적용되면 급변하는 현장 상황에 적절하게 대처가 가능하며, 실시간 데이터 베이스의 갱신과 구축이 가능하게 될 것이다.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.2
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• pp.139-146
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• 2019

The purpose of this study is to derive an improved method for analyzing old buildings with risk of collapse using public big data. Previous studies on the risk of building collapse focused on internal factors such as building age and structural vulnerability. However, this study suggests a method to derive potentially collapsible buildings considering not only internal factors of buildings but also external factors such as nearby new construction data. Based on the big data analysis, this study develops a system to visualize vulnerable buildings that require safety diagnosis and proposed a future utilization plan.

• Journal of KIBIM
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• v.13 no.1
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• pp.13-21
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• 2023

The purpose of this study is to establish a system that manages the safety of buildings efficiently by finding the correlation of elements related to the safety of buildings and intuitively visualizing them. Data were collected using the data of small-scale buildings managed by public institutions and the government, and an effective analysis visualization environment was established through pre-processing. We selected safety-vulnerable factors such as the structure of the building and completion date to find the relationship, and established a model to prioritize management to find vulnerable buildings.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.389-390
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• 2019

본 연구의 목적은 현대 빅데이터 시대에서 급격히 발전하고 있는 사회적 배경아래, 현대 디자인 문화가 내포된 건축사상을 바탕으로, 중국의 4개 현대 상업건축 사례에 대한 디자인 문화 표현 특징에 대해 분석을 진행하였다. 현대 상업건축 실내 공간의 문화성은 주로 다섯 가지 측면에서 나타난다. 전통, 지역, 대중, 기술, 생태, 이것을 복합적으로 통합하여, 상업건축의 지속가능성과 다양성을 촉진한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.8
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• pp.5695-5706
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• 2015

Recently adoption of BIM technology for building renovation and remodeling has been increased in construction industry. However most buildings have trouble in 2D drawing-based BIM modeling, because 2D drawings have not been updated real situations continually. Applying reverse engineering, this study analysed the point cloud data structure and the process for guideline of reverse engineering of architectural MEP, and deducted the relating considerations. To active usage of 3D scanning technique in domestic, the objective of this study is to analyze the point cloud data processing from real site with terrestrial LiDAR and the process from data gathering to data acquisition.

• Korean Journal of Construction Engineering and Management
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• v.23 no.4
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• pp.3-14
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• 2022

Autonomous equipment requires a large amount of data from various environments. However, it takes a lot of time and cost for an experiment in a real construction sites, which are difficulties in data collection and processing. Therefore, this study aims to develop a virtual environment for autonomous tower cranes technology development and validation. The authors defined automation functions and operation conditions of tower cranes with three performance criteria: operational design domain, object and event detection and response, and minimum functional conditions. Afterward, this study developed a virtual environment for learning and validation for autonomous functions such as recognition, decision making, and control using the Unity game engine. Validation was conducted by construction industry experts with a fidelity which is the representative matrix for virtual environment assessment. Through the virtual environment platform developed in this study, it will be possible to reduce the cost and time for data collection and technology development. Also, it is also expected to contribute to autonomous driving for not only tower cranes but also other construction equipment.

• The Journal of the Korea Contents Association
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• v.9 no.1
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• pp.15-22
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• 2009

This paper describes design and implementation of a Web-based information service that supports management and retrieval of use cases for earth-related materials in traditional Korean construction process. Managed data are gathered from old traditional books which are written in Chinese characters. Development needs to consider providing users effective interface to retrieve information from the service easily. Gathering and analysis of earth-related data are processed in parallel to the database construction. Data store and management needs to be flexible enough. This paper introduces several design and implementation issues for the developed service, and proposes solutions for the them.