• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.11a
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• pp.112-113
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• 2021

Since natural sand is being depleted, research is being conducted to use glass similar to sand as an aggregate. When non-reusable waste glass is crushed and used as fine aggregate, it is known that alkali of cement and silica of glass react to cause an alkali aggregate reaction. The purpose of this study is to provide basic data by studying the strength according to color to use waste glass as fine aggregate. When 10% was replaced, both flexural and compressive strength showed strength values similar to those of Plain. When replaced by 20% and 30%, the 7-day intensity was higher than that of Plain. In addition, colorless glass was found to have the highest strength among glass colors. More research is expected to be needed to become a fine aggregate of waste glass.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2013.11a
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• pp.190-191
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• 2013

In this research, the fundamental experiment for colour concrete(by using pigment) has been invested. Fundamental properties and dyeability for the colour mortar as the changing replacement ratio of pigment has been tested. For the conclusion, with the increasing ratio of pigment, the flow and compressive strength for the mortar has been decreased, For the dyeability, there's little difference when replacement ratio of dyestuff changed when the colour is red and yellow, but large difference when the blue pigment was used. Consider about the workability and strength of the mortar, the optimum pigment's replacement ratio is fixed as 2.5%.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.449-456
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• 2009

Image processing has been applied to steel bridge defect recognition since 1990s. Compare to human visual inspection, image processing provides a more objective and accurate way of assessment. Since shade and shadow may sometimes occur when taking bridge coating images, non-uniform illumination problems should be considered. By means of color image processing, this paper aims to mitigate the illumination effect for bridge coating assessment. Furthermore, the adaptable ellipse method (AEM) is proposed to recognize mild rust colors. Finally, AEM will be compared to the K-Means algorithm, a popular recognition method, to show its advantage.

• Journal of Physiology & Pathology in Korean Medicine
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• v.29 no.4
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• pp.289-294
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• 2015

In order to make digital processing of facial color, standardization methods of photographing and observational requirements and gloss-detecting are done through preceding papers and actual experiences. Examiner's observational informations should be contained with original and temporary color, normalcy and deviation range and gloss. And these are interrelated with time, interior and exterior temperature, emotional state, so should be recorded too. Picturing procedure should be controlled in simple and practical but objective way. Just water cleansing, 15 to 20 minute resting, prohibiton of moisturizing of examinee are common for examiner. Temperature and moisture, width, light source requirement, brightness, polarizing filter of parlor and camera-to-object distance, posture of examinee are should be recorded. In addition, pre and post-revision of color and manifestation of color space after taking images are needed coping with construction of diagnostic database.

• Journal of Environmental Science International
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• v.11 no.11
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• pp.1183-1187
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• 2002

Existing retaining walls are usually made from only one cast form and any damage must be promptly repaired. However, when a part of a retaining wall is repaired, a gap can be created between the repaired and existing parts, along with an unpleasing visual effect. As such, the whole structure is often reconstructed, rather than repairing one part, resulting in construction waste and possible contamination of the environment. Accordingly, the current study proposes a construction method for a retaining wall that uses separate blocks to downsize of quantity of construction waste. In addition, by changing the color or modifying the block cover a more environmentally friendly retaining wall construction method is achieved.

• Journal of Korea Multimedia Society
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• v.2 no.3
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• pp.308-319
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• 1999

In this paper we propose a new color inverse halftoning for color prints halftoned by clustered-dot. The proposed method divide channel image into blocks and then extract moire region according to its strength. To get more natural continuous tone image in human vision, the proposed method smooths the extracted moire region in proportion to moire strength. It can also preserve the significant edges well by considering edge information of color halftone image in the process of inverse halftoning. Experimental results show that the proposed method can make more improved inverse halftoning. Experimental results show that the proposed method can make more improved inverse halftoning image than the results of previous works. It could be applied to field of multimedia application, such as digital library construction, color print image compression and multimedia authoring.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2008.11a
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• pp.27-30
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• 2008

This study investigated the application of red muds, which were industrial wastes fired at 800℃, with a coloring agents. The results were summarized as following. The slumpflow, air content and unit weight volume were satisfied with each target values. The setting time was shortened on the case that 3 % of the red coloring agent and fired red mud were simultaneously replaced about 1 hour compared with the previous study which was 6 % of the red coloring agent was individually used. For the length change ratio caused by drying shrinkage and depth of neutralization on hardened concrete, they were declined when 3 % of the red coloring agent and fired red mud were simultaneously replaced compared with the previous study. On the measurement of forming colors, the case that 3 % of the red coloring agent and fired red mud were simultaneously replaced was similar to the previous study.

• Korean Journal of Artificial Intelligence
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• v.11 no.1
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• pp.17-24
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• 2023

With the continuous growth in the amount of data collected and analyzed, deep learning has become increasingly popular for extracting meaningful insights from various fields. However, hardware limitations pose a challenge for achieving meaningful results with limited data. To address this challenge, this paper proposes an algorithm that leverages the characteristics of convolutional neural networks (CNNs) to reduce the size of image datasets by 20% through smoothing and shrinking the size of images using color elements. The proposed algorithm reduces the learning time and, as a result, the computational load on hardware. The experiments conducted in this study show that the proposed method achieves effective learning with similar or slightly higher accuracy than the original dataset while reducing computational and time costs. This color-centric dataset construction method using image smoothing techniques can lead to more efficient learning on CNNs. This method can be applied in various applications, such as image classification and recognition, and can contribute to more efficient and cost-effective deep learning. This paper presents a promising approach to reducing the computational load and time costs associated with deep learning and provides meaningful results with limited data, enabling them to apply deep learning to a broader range of applications.

• Journal of the Korea Institute of Building Construction
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• v.21 no.6
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• pp.573-581
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• 2021

In this study, a basic experiment was conducted to examine the possibility of using mechanochromic sensors to monitor the health of construction structures. The strain and color variation characteristics of the mechanochromic sensor according to the type of finish of the concrete material were investigated. As a result, it was confirmed that the strain and color variation reactivity of the mechanochromic sensor increased as the tensile strain of the concrete specimen increased. In addition, the difference in the finishing environments of concrete, urethane, epoxy, water-based paint and oil-based paint did not affect the deformation and discoloration characteristics of the mechanochromic sensor.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.49 no.1
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• pp.1-7
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• 2012

This paper presents a method for 3D image construction using the hybrid (color and depth) camera system, in which the drawbacks of each camera can be compensated for. Prior to an image generation, intrinsic parameters and extrinsic parameters of each camera are extracted through experiments. The geometry between two cameras is established with theses parameters so as to match the color and depth images. After the preprocessing step, the relation between depth information and distance is derived experimentally as a simple linear function, and 3D image is constructed by coordinate transformations of the matched images. The present scheme has been realized using the Microsoft hybrid camera system named Kinect, and experimental results of 3D image and the distance measurements are given to evaluate the method.