• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.417-417
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• 2023

도시홍수는 도시의 주요 기능을 마비시킬 수 있는 수재해로서, 최근 집중호우로 인해 홍수 및 침수 위험도가 증가하고 있다. 집중호우는 한정된 지역에 단시간 동안 집중적으로 폭우가 발생하는 현상을 의미하며, 도시 지역에서 강우 추정 및 예보를 위해 레이더의 활용이 증대되고 있다. 레이더는 수상체 또는 구름으로부터 반사되는 신호를 분석해서 강우량을 측정하는 장비이다. 기상청의 기상레이더(S밴드)의 주요 목적은 남한에 발생하는 기상현상 탐지 및 악기상 대비이다. 관측반경이 넓기에 도시 지역에 적합하지 않는 반면, X밴드 이중편파레이더는 높은 시공간 해상도를 갖는 관측자료를 제공하기에 도시 지역에 대한 강우 추정 및 예보의 정확도가 상대적으로 높다. 따라서, 본 연구에서는 딥러닝 기반 초해상화(Super Resolution) 기술을 활용하여 저해상도(Low Resolution. LR) 영상인 S밴드 레이더 자료로부터 고해상도(High Resolution, HR) 영상을 생성하는 기술을 개발하였다. 초해상도 연구는 Nearest Neighbor, Bicubic과 같은 간단한 보간법(interpolation)에서 시작하여, 최근 딥러닝 기반의 초해상화 알고리즘은 가장 일반화된 합성곱 신경망(CNN)을 통해 연구가 이루어지고 있다. X밴드 레이더 반사도 자료를 고해상도(HR), S밴드 레이더 반사도 자료를 저해상도(LR) 입력자료로 사용하여 초해상화 모형을 구성하였다. 2018~2020년에 발생한 서울시 호우 사례를 중심으로 데이터를 구축하였다. 구축된 데이터로부터 훈련된 초해상도 심층신경망 모형으로부터 저해상도 이미지를 고해상도로 변환한 결과를 PSNR(Peak Signal-to-noise Ratio), SSIM(Structural SIMilarity)와 같은 평가지표로 결과를 평가하였다. 본 연구를 통해 기존 방법들에 비해 높은 공간적 해상도를 갖는 레이더 자료를 생산할 수 있을 것으로 기대된다.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.11a
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• pp.231-232
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• 2022

Pavement cutting work frequently occurs in new building construction, reconstruction, and complex construction, and this work causes a lot of noise and dust. Eco-friendly pavement cutters are being developed to reduce noise and dust in this work, however the on-site cutting performance of the equipment under development has not been quantified. In this study, the eco-friendly pavement cutter was applied to four residential areas in Seoul and Gyeonggi-do, and its cutting performance was quantified. As a result of the analysis, the eco-friendly pavement cutter showed cutting performance of 20.1~46.9sec/m, and the average was 33.5sec/m. In the future, we plan to conduct additional cutting experiments with various mixing ratios, materials, and depths to confirm the performance of eco-friendly road cutters in more detail.

• Journal of the Korea Institute of Building Construction
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• v.24 no.1
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• pp.97-108
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• 2024

This research delves into the escalating concerns of accidents and fatalities in the construction industry over the recent five-year period, focusing on the development of a Safety Perception Model to augment safety measures. Given the rising percentage of elderly workers and the concurrent drop in productivity within the sector, there is a pronounced need for leveraging Fourth Industrial Revolution technologies to bolster safety protocols. The study comprises an in-depth analysis of statistical data regarding construction-related fatalities, aiming to shed light on prevailing safety challenges. Central to this investigation is the formulation of a Safety Perception Model tailored for small-scale construction projects. This model facilitates the quantification of safety risks by evaluating safety grades across construction sites. Utilizing the DWM1000 module, among an array of wireless communication technologies, the model enables the real-time tracking of worker locations and the assessment of safety levels on-site. Furthermore, the deployment of a safety management system allows for the evaluation of risk levels associated with individual workers. Aggregating these data points, the Safety Climate Index(SCLI) is calculated to depict the daily, weekly, and monthly safety climate of the site, thereby offering insights into the effectiveness of implemented safety measures and identifying areas for continuous improvement. This study is anticipated to significantly contribute to the systematic enhancement of safety and the prevention of accidents on construction sites, fostering an environment of improved productivity and strengthened safety culture through the application of the Safety Perception Model.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.11a
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• pp.141-142
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• 2012

Estimating the productivity of labor has relied on the experience and intuition of an estimator, or productivity data, such as standard in practical estimation. However, when new technologies and new construction methods employed in the construction industry, Dependence of a quantity surveyor's intuition is increased. This is because of the lack of a systematic methodology which models, estimates, and measures the labor productivity, Due to the historical productivity data is unavailable. Even thought project history data contains information that is important to predict the performance of a project, It can not provide valuable information to model, estimate, and measure the labor productivity. This is because 1) the absence of the productivity measurement system with consistency, 2) the difficulty of reusability of historical data collected. Therefor, this study suggests a methodology which build a productivity model by measuring the productivity of labor and collecting the historical data systematically. In addition, this methology is applied to develop a productivity model of shop-drawing and manufacturing process using descrete event simulation.

• Korean Journal of Construction Engineering and Management
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• v.16 no.5
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• pp.54-64
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• 2015

The modular construction has several advantages such as high quality of product, safe work condition and short construction duration. The manufacturing planning of modular construction should consider time frame of manufacturing, transport and erection process with limited resources (e.g., modular units, transporter and workers). The manufacturing planning of multi modular construction project manages the modular construction's characteristics and diversity of projects, as a type of modular unit, modular unit quantities, and date for delivery. However, current modular manufacturing planning techniques are weak in dealing with resource interactions and each project requirement in multi modular construction project environments. Inefficient allocation of resources during multi modular construction project may cause delays and cost overruns to construction operation. In this circumstance, this research suggest a manufacturing planning model for schedule optimization of multi project of modular construction, using genetic algorithm as one of the powerful method for schedule optimization with multiple constrained resources. Comparing to the result of the existed schedule of case study, setting optimized scheduling for multi project decrease the total factory producing schedule. By using proposed optimization tool, efficient allocation of resource and saving project time is expected.

• Journal of the Korean GEO-environmental Society
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• v.19 no.1
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• pp.5-14
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• 2018

All kinds of monitoring data in construction site could have outlier created from diverse cause. In this study generation technique of synthesis value, its regression, final outlier detection and assessment are conducted to distinct outlier data included in extensive time series dataset. Synthesis value having weight factor of correlation between a number of datasets consist of many monitoring data enable to detect outlier by increasing its correlation. Standard artificial dataset in which intentional outliers are inserted has been used for assessment of synthesis value technique. These results showed increase of detection accuracy for outlier and general tendency in case of having different time series models in common. Accuracy of outlier detection increased in case of using more dataset and showing similar time series pattern.

• Journal of the Korea Institute of Building Construction
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• v.24 no.1
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• pp.87-95
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• 2024

This research explores the utilization of Unmanned Aircraft Systems(UAS), or drones, within the construction industry, aiming to assess their current use and forecast their potential impacts. The study endeavors to present a comprehensive overview of approaches to overcome existing barriers to drone implementation. Through the analysis of survey responses and focus group discussions with 21 industry experts, the study reveals a significant recognition among participants of the need for drone adoption and the potential for technological advancement, despite the current limited deployment on construction sites. Participants predict that drones will substantially enhance construction safety and efficiency. The study identifies three primary obstacles to drone integration: 1) the expense associated with setting up a UAS monitoring framework; 2) challenges related to data exchange and management; 3) the necessity for professional training in drone operation. This research contributes valuable insights into the present usage of drones at construction sites, elucidating the anticipated advantages, current impediments, and prospective solutions for drone utilization.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.8
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• pp.157-163
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• 2016

BIM is currently applied in some domestic construction firms, but it is not being actively utilized due to changes in working environments and qualms about new studies. In order to utilize a BIM model in the design phase, process information is needed during construction, but the input system and utilization method of the process information's state are not complete. Therefore, we propose a BIM template for construction progress management that can show basic BIM information as the construction progresses in an easy and convenient way. This method will facilitate the adoption of BIM and enhance the productivity of construction companies. To this end, we designed a progress explorer for step-by-step progress and work schedules, and we generated three-dimensional views and a progress list by applying unit information (primary units, part units, and detail units) of the work breakdown structure (WBS) to the parameters. To use the BIM template, work progress information is input to the BIM modeling objects through Dynamo. We also used Dynamo for quick and easy calculation of the quantity of materials needed for construction work. To test the BIM template, we applied it to an actual project and evaluated its visibility and a progress list. The results showed that the proposed BIM template facilitates progress management of a project and can thus facilitate the adoption of BIM and improve the productivity of construction companies.

• Journal of the Korea Institute of Building Construction
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• v.10 no.5
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• pp.45-54
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• 2010

Recently more and more construction projects have become high-rise, complex and intelligent. Accordingly, such projects require an integrated management system for tasks, with a lean approach to construction with work processes for management and productivity. In particular, Construction Information Technology (CIT) fields are concerned with Building Information Modeling (BIM), which represents the process of generating and managing building data during its life cycle. Constructability research has progressed for the project goal which is a cost-time-quality of optimization by integrated construction knowledge and experience. However, the current constructability process has not been performed efficiently, as the existing 2D drawings and papers lack consistent and accurate information, it is difficult to share the contents of work, and the use of information is inefficient. This study proposes that the reformation and enhancement of BIM-based constructability work process can lead to brilliant performance in the framework of the construction phase through achieving collaboration between the design team and the workers at the site.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2009.04a
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• pp.573-577
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• 2009

최근 건설업계에서는 3D객체기반인 Building Information Modelling(이하 BIM)에 대해 관심이 증가하기 시작했다. 하지만 BIM도입에 어려움을 격고 있는 것이 현실이며 특히 전통적인 정보교환 방식에서의 BIM을 적용하는데 가장 큰 어려움을 격고 있다. 현재 국내에 활용되는 전자도면 표준지침에는 BIM도입에 필요한 2D표준에 대한 내용은 없으며, BIM소프트웨어들도 이 부분에 대해서 충분히 커스터마이징 되지 않았다. 이는 BIM과도기에 2D도면의 필요성을 인식한다면 원할한 BIM도입을 위해서 반드시 그 대안이 필요하다. 따라서 본 논문에서는 국내 BIM 도입 시 국내 2D 전자도면표준을 고려한 BIM 모델에서의 원할한 2D도면추출에 대해 Template을 활용하는 방안을 제안하였다. 도면표준의 기준은 "건설CALS/EC 전자도면 작성 표준"에 근거 하여 표현기준 및 데이터 작성기준을 Template파일에 적용 시켰으며, 이 후 실험을 통해 BIM 도입 시 효율적인 도면 생산의 가능성을 확인 하였다.