• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.536-539
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• 2008

Construction waste is given a great deal of weight on the total waste. Because of many reconstructions, urban redevelopment projects and dismantlement of dilapidated building, construction waste that generated by dismantlement is having a great effect on total construction waste. Problems about waste treatment are increasing along with an amount of construction waste. Therefore, environmental problems that related to waste treatment become a social issue recently and problems about waste treatment are confronted with a major subject. A study focuses on giving solutions to treat construction waste through quantitative analysis of the problems about waste treatment.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.05a
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• pp.191-192
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• 2021

For the stable management of radioactive waste, it is necessary to secure a solidification treatment technology capable of immobilizing hazardous radioactive elements in a solid matrix. In this study, the feasibility of using recycled cement recovered from waste concrete as a solidifying material for radioactive waste was analyzed.

• Korean Architects
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• no.4 s.217
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• pp.71-82
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• 1987

• 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

• Korean Journal of Construction Engineering and Management
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• v.7 no.3 s.31
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• pp.159-168
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• 2006

In order to respond to interest and regulations in sustainable environment which is increasing, construction industry needs to establish a sustainable production system. When generation of wastes can be diminished and recycling of them raised in the construction site as a part of a sustainable production system, it might contribute to not only establishing a sustainable production system but also gaining economical profit. This study is a preliminary research for establishing a sustainable production system, which aims to identify construction waste generation patterns and factors causing construction waste generation. Case studies were implemented to investigate these patterns and factors.

• Journal of the Korean Recycled Construction Resources Institute
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• v.9 no.3
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• pp.229-235
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• 2021

To dispose of waste, there are methods such as landfill, incineration, recycling, and sea discharge. Since the landfill wastes accumulate, there is a limit to the landfill site to accommodate them. In this paper, a time series analysis and current status of landfill allowance was analyzed over 20 years of landfills distributed throughout the country using GIS to understand the status of waste reclamation. As a result, the emissions of waste were gradually increasing, and as the emissions increased, the amount of landfill increased. The landfills in the Seoul metropolitan area have been saturated and need to be resolved as soon as possible.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.05a
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• pp.309-310
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• 2021

In order to respond to environmental problems and to efficiently recycle resources, it is important to evaluate the amount of construction waste generated. In particular, the estimation of the amount of waste generated in the demolition work was performed based on the basic unit of waste generated per floor area. This study proposes a method using drones as a method for evaluating the amount of demolition waste in a wide area. In the simulated application, the field measurement results and the proposed method were compared, and the effectiveness of the building volume calculation using drones was confirmed. It was confirmed that the building volume can be calculated quickly in the additional pilot application.

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2007.11a
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• pp.375-375
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• 2007

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2015.10a
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• pp.503-504
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• 2015

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2012.05a
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• pp.379-380
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• 2012