• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.223-226
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• 2011

To design a drawing at construction sites or ship yards, generally, they exploit CAD program, such as AutoCAD. They also carry the printed drawings in the fields in order to refer the designs. However, the printed designs are easy to be damaged. In this paper, we propose the design of a management system for the CAD drawings on top of the smart operating systems of a smart device. The proposed system exploits the index file based on the Fixed GRID file in order to improve the display speed of the drawings.

• IE interfaces
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• v.7 no.3
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• pp.213-225
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• 1994

For the implementation of CE(Concurrent Engineering), the TDMS(Technical Document Management System) which integrates design and manufacuring information, is required. In this paper a drawing information management system, one of the essential modules for the TDMS has been developed. The system is operated in SUN SPARC II workstations. A CAD software called CIMCAD-2D is used for the storage and management of drawings. Relational DBMS ORACLE is used for the development of information data bases concerned with drawings. As an integration tool, the multi-media software called LINKAGE is used. Various functions for drawings and concerned information have been developed with the internal language CIMSHELL and SQL $^*PLUS$.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.570-576
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• 2024

Recently, digitalization technologies for data analysis have become a global issue. As a result, in the construction market, Building Information Modeling (BIM), which is a core technology of smart construction, is being actively utilized not only in the architectural sector but also in the civil engineering field worldwide. In this study, the process of creating BIM models using a 3D scanner is examined, and automated extraction of numerical information for infrastructures necessary for library creation is conducted. In experiments utilizing infrastructurs such as retaining walls and employing algorithmic methods, the accuracy of cross-sectional numerical information for each retaining wall was confirmed to be over 95%. This enables not only BIM modeling but also the generation of drawings for facilities lacking BIM drawings by confirming the shape information of infrastructures, thus facilitating efficient maintenance.

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2017.05a
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• pp.235-236
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• 2017

• International conference on construction engineering and project management
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• 2024.07a
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• pp.351-358
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• 2024

In Japan, bridge inspections are mandated every five years. The inspection database for bridges under the jurisdiction of the Ministry of Land, Infrastructure, Transport, and Tourism enables the acquisition of damage progression data for each structural element. This study develops a methodology for predicting the deterioration of girder bridges, employing a novel approach where inspection drawings are processed using Optical Character Recognition (OCR) to extract element numbers and their spatial relationships, subsequently creating a comprehensive graph of these elements. A key feature of this prediction methodology is its ability to consider the adjacency relationships between different bridge members, made possible by the detailed analysis of drawing information and a Graph Transformer model. The research examines and compares the accuracy of predictions made with and without considering adjacency relationships, highlighting the effectiveness of incorporating detailed structural information in the predictive analysis of bridge deterioration.

• Journal of Korean Society for Geospatial Information Science
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• v.24 no.2
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• pp.71-78
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• 2016

After the 'Guidelines for the preservation of digital heritage' were published by UNESCO, interests in the fabrication of digital cultural heritage have been increasing throughout the world. The present study was intended to fabricate digital cultural heritages for existing cultural properties using the reverse engineering technology and obtain two-dimensional drawings. Jinju Castle Gongbukmun, which is a cultural property, was selected as a study subject and 3D modeling of Jinju Castle Gongbukmun was conducted by implementing 3D scanning and processing the point cloud data. Using the Gongbukmun 3D model (3D-Gongbukmun) made as such, requirements as a digital heritage were reviewed and 2D drawings of Gongbukmun such as front views, ground plans, and side views could be prepared.

• Journal of applied mathematics & informatics
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• v.28 no.5_6
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• pp.1347-1358
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• 2010

An upright drawing of a planar graph G on k layers is a planar straight-line drawing of G, where the vertices of G are placed on a set of k horizontal lines, called layers and no two adjacent vertices are placed on the same layer. There is a previously known algorithm that decides in linear time whether a planar graph admits an upright drawing on k layers for a fixed value of k. However, the constant factor in the running time of the algorithm increases exponentially with k and makes it impractical even for k = 3. In this paper, we give a linear-time algorithm to examine whether a biconnected planar graph G admits an upright drawing on three layers and to obtain such a drawing if it exists. We also give a necessary and sufficient condition for a tree to have an upright drawing on three layers. Our algorithms in both the cases are much simpler and easier to implement than the previously known algorithms.

• Journal of Broadcast Engineering
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• v.27 no.3
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• pp.391-401
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• 2022

As deep learning-based object detection and recognition research have been developed recently, the scope of application to industry and real life is expanding. But deep learning-based systems in the construction system are still much less studied. Calculating materials in the construction system is still manual, so it is a reality that transactions of wrong volumn calculation are generated due to a lot of time required and difficulty in accurate accumulation. A fast and accurate automatic drawing recognition system is required to solve this problem. Therefore, we propose an AI-based automatic drawing recognition accumulation system that detects and recognizes steel materials in construction drawings. To accurately detect steel materials in construction drawings, we propose data augmentation techniques and spatial attention modules for improving small object detection performance based on YOLOv4. The detected steel material area is recognized by text, and the number of steel materials is integrated based on the predicted characters. Experimental results show that the proposed method increases the accuracy and precision by 1.8% and 16%, respectively, compared with the conventional YOLOv4. As for the proposed method, Precision performance was 0.938. The recall was 1. Average Precision AP_0.5 was 99.4% and AP_0.5:0.95 was 67%. Accuracy for character recognition obtained 99.9.% by configuring and learning a suitable dataset that contains fonts used in construction drawings compared to the 75.6% using the existing dataset. The average time required per image was 0.013 seconds in the detection, 0.65 seconds in character recognition, and 0.16 seconds in the accumulation, resulting in 0.84 seconds.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.4
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• pp.1-8
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• 2020

In this study, we have investigated potential application of 3D model-based learning material in training of new workers for production of electrical systems in the ship-building. Most of new trainees such as new employees or workers on job-transition have lots of difficulty when given the first task due to their poor ability to understand related engineering drawings. This is mainly caused by the fact that drawings are loaded with too many ambiguous symbols to precisely describe the characteristics of components required for installation of electrical equipments and cables. As one way to improve the ability of new employees to read drawings, we have suggested a new training method based on 3D models of major components required for production of the electrical systems in the ship.

• Journal of KIBIM
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• v.10 no.4
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• pp.22-31
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• 2020

Shop drawing tasks conducted after finishing coordinated or engineering design have great influences on the quality and cost of a project. However, despite the development of commercial BIM applications, shop drawings have mainly produced manually in certain engineering fields. Incorrect shop drawings with human errors have occurred various problems such as cost overrun, time delay and reworks. An automated shop drawing publishing from BIM is expected to resolve these problems. Despite attempts for automate shop drawing production, the field of mechanical, electrical and plumbing (MEP) is yet regarded challenging due to complexity of components and connection. In this research, we develop a process for automated producing 3D MEP shop drawings in BIM environment as following steps: to analyze conventional MEP shop drawing process, to identify detailed process that can be automated, to classify existing MEP objects and assign codes usable in BIM, and to develop an application. The validation of automated process is conducted against 10 clean room projects in which MEP is more complex and its cost is higher than other projects in terms of productivity and workers' satisfaction. Results show that the number of manpower for shop drawing is reduced by 30%, and the working time is shortened by 31%. Personal opinions of involved practitioners is interpreted as positive as the average rate of agrement on practicability, easy-to-use and necessary retouch tasks is around 66%.