• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.31 no.5
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• pp.411-419
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• 2013

Research on developing algorithms for building modeling such as extracting outlines of the buildings and segmenting patches of the roofs using aerial images or LiDAR data are active. However, utilizing information from the building model is not well implemented yet. This study aims to propose a scheme for search identical or similar shape of buildings by utilizing graph topology pattern matching under the assumptions: (1) Buildings were modeled beforehand using imagery or LiDAR data, or (2) 3D building data from digital maps are available. Side walls, segmented roofs and footprints were represented as nodes, and relationships among the nodes were defined using graph topology. Topology graph database was generated and pattern matching was performed with buildings of various shapes. The results show that efficiency of the proposed method in terms of reliability of matching and database structure. In addition, flexibility in the search was achieved by altering conditions for the pattern matching. Furthermore, topology graph representation could be used as scale and rotation invariant shape descriptor.

• Fire Science and Engineering
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• v.13 no.2
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• pp.18-25
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• 1999

There are a lot of works for predicting smoke movement in a building experimentally and m numerically. It is Vel${\gamma}$ important to predict a smoke movement in a corridor which is c connected to adjacent spaces. A numerical analysis of smoke movement in an enclosed c corridor is perlormed by a field model. The used field model is develo야d with 3-D u unstructured meshes, PISO Algorithm and buoyant plume model. In this study, tern야~ature a and flow field, some important p하ameters such as smoke spread time, hot layer temperature, c ceiling jet velocity were compared with experimental data which were perlormed in Korea I Ins디tute of Machinery and Materials. And average velocity of ceiling jet by this study is c compared with Hinkley's formula. This paper shows a flow characteristic around the soffit a and average velocity of ceiling jet is i따luenced by geometry of corridor, heat output, and d distance from the fire source.

• Journal of Environmental Impact Assessment
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• v.26 no.3
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• pp.195-206
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• 2017

Recently, Discussion about BIM based LID (Low Impact Development) facilities management system is activated because interest of LID technique for urban water cycle restoration is increasing. For this reason, this paper developed the auto-checking module of the BIM (Building Information Model) based supply output table. This module will be the foundation of the BIM based LID facilities total management system. The research order is composed like next follows: (1) Select target area, (2) Make BIM model of LID facilities and extract supply output table, (3) Develop comparison module, (4) Analysis results. As a result, the authors made 27 LID facilities and developed the supply output table comparison automation module. So, the authors could find differences of 2D design documents based supply output table and BIm based supply output table. So, the authors made an improvement suggestion of the design plan and could construct foundation of the BIM based LID facilities total management system.

• Structural Engineering and Mechanics
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• v.26 no.4
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• pp.459-477
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• 2007

A bi-directional tuned mass damper (BTMD) in which a mass connected by two translational springs and two viscous dampers in two orthogonal directions has been introduced to control coupled lateral and torsional vibrations of asymmetric building. An efficient control strategy has been presented in this context to control displacements as well as acceleration responses of asymmetric buildings having asymmetry in both plan and elevation. The building is idealized as a simplified 3D model with two translational and a rotational degrees of freedom for each floor. The principles of rigid body transformation have been incorporated to account for eccentricity between center of mass and center of rigidity. The effective and robust design of BTMD for controlling the vibrations in structures has been presented. The redundancy of optimum design has been checked. Non dominated sorting genetic algorithm (NSGA) has been used for tuning optimum stages and locations of BTMDs and its parameters for control of vibration of seismically excited buildings. The optimal locations have been observed to be reasonably compact and practically implementable.

• Journal of electromagnetic engineering and science
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• v.1 no.1
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• pp.48-53
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• 2001

This paper presents a new 3-D ray tracing technique based on the image theory with newly defined ray tubes. The proposed method can be applied to indoor environments with arbitrary building layouts and has high computational efficiency compared to the precedent methods resorting to the ray launching scheme. It predictions are in good agreement with the measurements.

• Proceedings of the IEEK Conference
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• 2000.07b
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• pp.1067-1071
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• 2000

This paper presents a new 3-D ray tracing technique based on the image theory with newly defined ray tubes. The proposed method can be applied to indoor environments with arbitrary building layouts and has high computational efficiency compared to the precedent methods resorting to the ray launching scheme. Its predictions are in good agreement with the measurements

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.2
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• pp.91-108
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• 2022

In most cases, optical images have been used as training data of DL (Deep Learning) models for object detection, recognition, identification, classification, semantic segmentation, and instance segmentation. However, properties of 3D objects in the real-world could not be fully explored with 2D images. One of the major sources of the 3D geospatial information is DSM (Digital Surface Model). In this matter, characteristic information derived from DSM would be effective to analyze 3D terrain features. Especially, man-made objects such as buildings having geometrically unique shape could be described by geometric elements that are obtained from 3D geospatial data. The background and motivation of this paper were drawn from concept of the intrinsic image that is involved in high-level visual information processing. This paper aims to extract buildings after classifying terrain features by training DL model with DSM-derived information including slope, aspect, and SRI (Shaded Relief Image). The experiments were carried out using DSM and label dataset provided by ISPRS (International Society for Photogrammetry and Remote Sensing) for CNN-based SegNet model. In particular, experiments focus on combining multi-source information to improve training performance and synergistic effect of the DL model. The results demonstrate that buildings were effectively classified and extracted by the proposed approach.

• Tunnel and Underground Space
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• v.34 no.3
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• pp.208-217
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• 2024

There is so much research effort for developing and implementing deep learning-based surveillance systems to manage health and safety issues in construction sites. Especially, the development of deep learning-based object detection in various environmental changes has been progressing because those affect decreasing searching performance of the model. Among the various environmental variables, the accuracy of the object detection model is significantly dropped under low illuminance, and consistent object detection accuracy cannot be secured even the model is trained using low-light images. Accordingly, there is a need of low-light enhancement to keep the performance under low illuminance. Therefore, this paper conducts a comparative study of various deep learning-based low-light image enhancement models (GLADNet, KinD, LLFlow, Zero-DCE) using the acquired construction site image data. The low-light enhanced image was visually verified, and it was quantitatively analyzed by adopting image quality evaluation metrics such as PSNR, SSIM, Delta-E. As a result of the experiment, the low-light image enhancement performance of GLADNet showed excellent results in quantitative and qualitative evaluation, and it was analyzed to be suitable as a low-light image enhancement model. If the low-light image enhancement technique is applied as an image preprocessing to the deep learning-based object detection model in the future, it is expected to secure consistent object detection performance in a low-light environment.

• Journal of The Korean Digital Architecture Interior Association
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• v.13 no.3
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• pp.33-40
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• 2013

The purpose of this study is to propose an curriculum for architectural studio in university to implement BIM process, through the analysis of the advantages of the BIM tool. The limitation of this study was to analyze the case study of only half year a single university. University education in the design process, the design that can be used in applying BIM content should be universal, university education considering the special working conditions, excessive BIM-based application can be difficult. Therefore, a systematic and reliable design that can be applied to education applies BIM design process is necessary to establish. University education applying BIM design review and design proposal the various 3D visualization can be used effectively to determine. In addition, the planned representation for thinking about and drawing 3D model building, architectural space can be used for visualization, and other subjects in conjunction with structural analysis, environmental analysis, facility layout, etc. can be used.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.15 no.4
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• pp.344-348
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• 2002

As microelectronics technology continues to progress, there is also a continuous demand on highly integration and miniaturization of systems. For example, it is desirable to package several integrated circuits together in multilayer structure, such as multichip modules, to achieve higher levels of compactness and higher performance. Passive components (i.e., capacitors, resistors, and inductors) are very important fort many MCM applications. In addition, the low-temperature co-fired ceramic (LTCC) process has considerable potential for embedding passive components in a small area at a low cost. In this paper, we investigate a method of statistically modeling integrated passive devices from just a small number of test structures. A set of LTCC inductors is fabricated and their scattering parameters (s-parameters) are measured for a range of frequencies from 50MHz to 5GHz. An accurate model for each test structure is obtained by using a building block based modeling methodology and circuit parameter optimization using the HSPICE circuit simulator.