• Journal of the Korean Institute of Rural Architecture
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• v.4 no.3
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• pp.53-62
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• 2002

This study aims at the development on the wood-frame house construction method in hilly areas. To obey the trend of public opinion to prohibit the troublesome development on a large scale in preparing housing sites, the small housing site development in hilly areas is on the rise and consequently wood-frame house which harmonized natural topography, geographical feature and environment in hilly areas is needed. The main contents are how to make housing sites, how to make roads, how to make pedestrian ways and surroundings of water to run downhill, how to locate house, how to make between road and house, how to view inner and outer and how to make retaining wall on the wood-frame house construction method in hilly areas.

• Journal of the Korean Solar Energy Society
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• v.26 no.3
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• pp.99-110
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• 2006

This study focused on the emission rate of the construction materials. The method of study is as follows. First, validation of small chamber method to determine emission rate of construction material was performed by CFD simulation. For the result of this study, uniform air velocity in small chamber was founded, and small chamber as a test material for emission rate was validated. Second, the construction materials were categorized by their feature and the emission rate of volatile organic compound was determined. Totally, VOCs emission rate of 49 materials were determined.

• Proceedings of the Korean Geotechical Society Conference
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• 2005.03a
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• pp.759-764
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• 2005

With the tunnel to case of the construction slope it executes the periodic maintenance due to an objectivity standard. But, the standard connected with construction slope is not integrated with the important public paper organic enemy and it is duplicated and the standards which conflict are being scattered. Also, it is referred to some specifications simply and the feature which is diffuse appears. Therefore, there is a necessity which it investigates the problem point of the maintenance civil official and it improves rationally and it takes a triangular position a confusedly be standard system. In this research which it sees accomplished the fundamental research against the inspection item classified by reinforcement method for the construction slope maintenance.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1991.04a
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• pp.56-60
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• 1991

Free Cantilever Method(FCM) is one of the most effective construction methods when precast prestressed concrete box girders are erected in the construction site. The special feature of FCM is that precast segments are erected in cantilever on the pier and connected in the middle of span to form the complete superstructure. Therefore each structural subsystem will be shown in each construction step and it should be analyzed for design whenever the segment is erected. In this study, the computer program was developed to optimally design the P.C box girder bridge considering tile construction sequence and verified by comparing the calculated results with the data of existing P.C box girder bridges. the sensitivity analysis was performed to show the efficiency of the developed program.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.665-671
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• 2024

This research presents a method for Augmented Reality (AR) object superimposition leveraging reinforcement learning techniques to significantly reduce manual input during the exploration of digital information on construction sites. A distinctive feature of this approach is the application of a reinforcement learning neural network, trained with pairs of real and virtual view images, for AR superimposition. This approach enables the precise adjustment of the virtual camera's position and orientation within a virtual scene, aiming to seamlessly integrate AR objects into real-world views. This research initially focuses on simpler scenarios involving 2 and 3 degrees of freedom for orientation and position adjustments. The purpose is to explore the feasibility of the application through those experiments, with the expectation that the results would be interpreted positively. These initial findings highlight the promise of the suggested method in improving AR applications, especially within the construction sector, by enabling more natural and precise merging of virtual and physical objects, without requiring user intervention.

• Journal of the Korean Institute of Landscape Architecture
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• v.26 no.4
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• pp.25-35
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• 1999

This thesis is to newly understand the value and the meaning of Chonju Palkyong(全州八景) by the specific gravity in making a counter-proposal in other to improve the landscape identity of modern city and at the same time. I intended to group the grafting device for the preservation and regeneration of modern history cultural environment through the interpretation of landscape construction. The meaning system of Chonju Palkyong showed the symbolic system which a landscape construction, four directions and two places has and exhibited the landscape shape possessing a luxuriant local feature peculiar to Chonju, preserving visual bound language of a classical Palkyong. Especially, it implies the use of the substantial landscape experienced factor, the expressions about natural phenomena and the matter which has melted human living circumstances. The landscape construction and it's form show the system which forms the different time field, a far landscape and a mid distance landscape and a near landscape, etc., under the visual, psychological, scenic influenced area, preserving the feature of the similar and typical type of Sosang Palkyoung（瀟湘八景) which intended to seek the local reappearance of the famous site experienced type and natural matter which famous place and local conduct were combined. The object space of Chonju Palkyong area representing the nature of historical landscape cultural assets, pushed by the greater part of the development based theory, shows injured aspects, but needs to play a part to seek such a up-to-date successive plan as the reconstruction of the destroyed historical landscape area which motivated Palkyong, the establishment of useful area, the embodiment of the cultural identity of Palkyong area and the becoming of the educational cultural life space. The analysis of the landscape construction of Chonju Palkyong and the grouping of the modern successive plan which I considered in this thesis, will be able to become a fundamental data to carry out the preservation of historical landscape and the landscape plan in the city.

• Journal of the Korean Professional Engineers Association
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• v.15 no.3
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• pp.12-18
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• 1982

Preliminary investigation have been made on what the capacity of high rate pulsed discharge of Ago-Zn button cells were associated with the changes of cathode construction feature, mix formulation, separator and electrolyte concentration.

• Korean Architects
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• s.636
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• pp.124-125
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• 2022

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.53 no.4
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• pp.277-285
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• 2004

We present a new hybrid stereo matching technique in terms of the co-operation of area-based stereo and feature-based stereo. The core of our technique is that feature matching is carried out by the reference of the disparity evaluated by area-based stereo. Since the reference of the disparity can significantly reduce the number of feature matching combinations, feature matching error can be drastically minimized. One requirement of the disparity to be referenced is that it should be reliable to be used in feature matching. To measure the reliability of the disparity, in this paper, we employ the self-consistency of the disunity Our suggested technique is applied to the detection of 3D line segments by 2D line matching using our hybrid stereo matching, which can be efficiently utilized in the generation of the rooftop model from urban imagery. We carry out the experiments on our hybrid stereo matching scheme. We generate synthetic images by photo-realistic simulation on Avenches data set of Ascona aerial images. Experimental results indicate that the extracted 3D line segments have an average error of 0.5m and verify our proposed scheme. In order to apply our method to the generation of 3D model in urban imagery, we carry out Preliminary experiments for rooftop generation. Since occlusions are occurred around the outlines of buildings, we experimentally suggested multi-image hybrid stereo system, based on the fusion of 3D line segments. In terms of the simple domain-specific 3D grouping scheme, we notice that an accurate 3D rooftop model can be generated. In this context, we expect that an extended 3D grouping scheme using our hybrid technique can be efficiently applied to the construction of 3D models with more general types of building rooftops.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.1307-1307
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• 2024

Recent research on heavy equipment has been conducted for the purposes of enhanced safety, productivity improvement, and carbon neutrality at construction sites. A sensor-based approach is being explored to monitor the location and movements of heavy equipment in real time. However, it poses significant challenges in terms of time and cost as multiple sensors should be installed on numerous heavy equipment at construction sites. In addition, there is a limitation in identifying the collaboration or interference between two or more heavy equipment. In light of this, a vision-based deep learning approach is being actively conducted to effectively respond to various working conditions and dynamic environments. To enhance the performance of a vision-based activity recognition model, it is essential to secure a sufficient amount of training datasets (i.e., video datasets collected from actual construction sites). However, due to safety and security issues at construction sites, there are limitations in adequately collecting training dataset under various situations and environmental conditions. In addition, the videos feature a sequence of multiple activities of heavy equipment, making it challenging to clearly distinguish the boundaries between preceding and subsequent activities. To address these challenges, this study proposed a domain adaptation in vision-based transfer learning for automated excavator activity recognition utilizing 3D ResNet (residual deep neural network). Particularly, this study aimed to identify the optimal depth of 3D ResNet (i.e., the number of layers of the feature extractor) suitable for domain adaptation via fine-tuning process. To achieve this, this study sought to evaluate the activity recognition performance of five 3D ResNet models with 18, 34, 50, 101, and 152 layers, which used two consecutive videos with multiple activities (5 mins, 33 secs and 10 mins, 6 secs) collected from actual construction sites. First, pretrained weights from large-scale datasets (i.e., Kinetic-700 and Moment in Time (MiT)) in other domains (e.g., humans, animals, natural phenomena) were utilized. Second, five 3D ResNet models were fine-tuned using a customized dataset (14,185 clips, 60,606 secs). As an evaluation index for activity recognition model, the F1 score showed 0.881, 0.689, 0.74, 0.684, and 0.569 for the five 3D ResNet models, with the 18-layer model performing the best. This result indicated that the activity recognition models with fewer layers could be advantageous in deriving the optimal weights for the target domain (i.e., excavator activities) when fine-tuning with a limited dataset. Consequently, this study identified the optimal depth of 3D ResNet that can maintain a reliable performance in dynamic and complex construction sites, even with a limited dataset. The proposed approach is expected to contribute to the development of decision-support systems capable of systematically managing enhanced safety, productivity improvement, and carbon neutrality in the construction industry.