• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.2
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• pp.433-438
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• 2019

This paper proposes a method of improving deep learning based numbers and characters recognition performance on parts of drawing through image preprocessing. The proposed character recognition system consists of image preprocessing and 7 layer deep learning model. Mathematical morphological filtering is used as preprocessing to remove the lines and shapes which causes false recognition of numbers and characters on parts drawing. Further.. Further, the used deep learning model is a 7 layer deep learning model instead of VGG-16 model. As a result of the proposed OCR method, the recognition rate of characters is 92.57% and the precision is 92.82%.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.11a
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• pp.64-65
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• 2015

As construction projects have increased in size and height recently, lifting accounts for increasingly greater portion and tower cranes are used more frequently. At present, the selection and arrangement of tower crane are depend on the experience of experts. However, since the number of experts is fairly limited and a database for tower cranes regarding lifting capacity, operation properties, rent, etc has not been widely employed, tower cranes are often not effectively selected and arranged which can cause cost overruns and delays in the lifting work. To address such issues, this study attempts to perform a basic study for development of automatic arrangement algorithm of tower crane using drawing recognition. If relevant database is established and the algorithm suggested in this study is refined more systematically, even beginning level engineers will be able to plan tower crane arrangement in a way comparable to experienced experts.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.2
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• pp.119-129
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• 2006

Art psychotherapy is widely accepted as an effective tool for diagnosis and treatment of psychological disorders. Important factors for art psychotherapy diagnosis, based on the projection theory that the world of the inner mind appears in drawings, include main color and imbalance of a drawing. This paper develops a system for a machine to determine the main color and the imbalance of a drawing by color recognition and edge detection. Our proposed color recognition procedure adopts NBS(National Bureau of Standards) distance between colors in HVC(Hue, Value, Chroma) color space which is most similar to the human eye's color perception. Our edge detection procedure applies blurring, clustering and transformation to a standard color in a series. Our system considers the numbers of pixels and clusters for each color as a criterion for main color and the frequency of edge coordinates for each region for imbalance. The proposed machine procedure, verified through case studies, can help overcome the subjectivity, ambiguity and uncertainty in human decision involved in art psychotherapy.

• Journal of the Korean Society for Precision Engineering
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• v.10 no.4
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• pp.180-189
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• 1993

In CAD/CAM system, it is required to produce manufacturing information from the deawing output of design system. The most difficult task is to formulate 3-dimentional modeling information utilizing 2-dimentional data. This paper addresses the automatic converting steps of 2-dimentional drawing data to 3-dimentional solid modeling using feature recognition rules as an expert shell. With the standardization of design process and recognition rule as a fundamental steps, the developed system shows a good application tool which can interface the design and manufacturing stage in CAD/CAM system of PC level.

• Journal of the Korean Society for Precision Engineering
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• v.17 no.4
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• pp.97-105
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• 2000

One of the most important steps to determine the blank shape and dimensions in deep drawing process is to calculate the surface area of the product. In general, the surface area of axisymmetric products is calculated by mathematical or graphical methods. However, in the case of non-axisymmetric products, it is difficult to calculate the exact surface area due to errors as separated components. Fortunately, it is possible for elliptical products to recognize the geometry of the product in the long side and short side by drafting in another two layers on AutoCAD software. So, in this study, a surface area calculating system is constructed for a design of blank shape of deep drawing products. This system consists of input geometry recognition module and three dimensional modeling module, respectively. The suitability of this system is verified by applying to a real deep drawing product. The system constructed in this study would be very useful to reduce lead time and cost for determining the blank shape and dimensions.

• International Journal of Precision Engineering and Manufacturing
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• v.2 no.1
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• pp.26-32
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• 2001

An ecpert system for rotationally symmetric deep drawing products has been developed. The application for non-axisymmetric components, however, has not been reported yet. This study construsctus and expert system for non-axisymmetric motor frame which shape is classified into ellipse in deep draqing process and investigates process sequence design with elliptical shape. The developed system consists of four modules. The first is recognition of calculate surface area for non-axisymmetric products. The third is blank design module the creates an oval-shaped blank with the same surface area. The fourth is a processplanning module based on production rules that play the best important roles in an expert system for manufacturing .The production rules are generated and upgraded by interviewing field engineers. Especially, drawing coefficient, punch and die radii for elliptical shape products are considered as main design parameters. The constructed system for elliptical deep drawing product would be very useful to reduce lead time and improve accuracy for products.

• Convergence Security Journal
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• v.22 no.5
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• pp.3-9
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• 2022

Recently, in order to build a cyber physical system(CPS) that is a technology related to the 4th industry, the construction of the virtual control system for physical model and control circuit simulation is increasingly required in various industries. It takes a lot of time and money to convert documents that are not electronically documented through direct input. For this, it is very important to digitize a large number of drawings that have already been printed through object recognition using artificial intelligence. In this paper, in order to accurately recognize objects in drawings and to utilize them in various applications, a recognition technique using artificial intelligence by analyzing the characteristics of objects in drawing was proposed. In order to improve the performance of object recognition, each object was recognized and then an intermediate file storing the information was created. And the recognition rate of the next recognition target was improved by deleting the recognition result from the drawing. In addition, the recognition result was stored as a standardized format document so that it could be utilized in various fields of the control system. The excellent performance of the technique proposed in this paper was confirmed through the experiments.

• Journal of architectural history
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• v.7 no.3 s.16
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• pp.9-26
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• 1998

Architectural Drawing has been settled down the very effective means of exchanging their architectural ideas and data on the construction process. However, it was not easy to conserve the original drawings, which aims had been accomplished, at the same time, building was built. The same phenomena were occurred in our traditional architectural construction project, especially before pre-modern age. And do not understand soundly building documentation accepted by craftsmen in the period of earliest Chosun dynasty and how to present their idea and information of architectural as means of sketches and drawings. So, this paper aimed to clarify the drawing occurrence and the development steps of their rendering, representation methodology in the construction process in Sannungdogam-Uuigue, which were the construction documents of government based on the royal family's tomb and building projects in the late Chosun Dynasty. There are three development stages of architectural space representation, pre-drawing stage, drawing occurring stage and drawing settlement stage, They had been adapted unique drawing presentation method which were drawn by artisan, so called Doseol(圖說)and Painter Hwawon(畵員) The results are 1. In the Pre-drawing stage, they had been used the systematic explanation method of character 2. Do not have the evidence of adapting drawing before 17th centry, it was originated in early 17's century started with Onga(甕家). Onga's Drawing was drawn very elementary skill, and became development, settlement and standardization of their drawing representation around 19th century 3. The drawing presented by client's recognition view of space and building, integrated data within a sheet of drawing with practical and hierarchy and using graphic and description.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.433-442
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• 2019

We have developed art and career convergence class for career recognition through drawing a neighborhood job map. Thus, we want to expand the students' career recognition. 3 Classes were conducted in 16 elementary school students from 5th to 6th. Through pre & post-questionnaire, and the interviews with the students' work, job recognition with job value and job prejudice, self-understanding and career attitude were analyzed. As follows. First, students' job recognition was expanded. The ability to identify the needs, values and purposes of jobs has improved. Changes in job values that all jobs are worth have occurred and job bias has changed. Second, the career attitude changed on the basis of self-understanding. Thus, in the context of deciding the job demanded by the society rather than the student's will, art and career convergence class was effective in career recognition.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2000.05a
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• pp.753-756
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• 2000

The accumulated know-how and trial-and-error procedures are known as the best ways to determine blank shape and dimensions. One of the most important steps to determine the blank shape and dimensions in deep drawing process is to calculate the surface area of the product. In general, the surface area of products is calculated by mathematical or 3-D modeling methods. A blank design system is constructed for elliptical deep drawing products to recognize the geometry of the product in the long side and short side by drafting in another two layers on AutoCAD software. This system consists of input geometry recognition module, 3-D modeling module and blank design module, respectively. Blank dimension of three types is determined by the same area, which was acquired in 3-D modeling module. The suitability of this system is verified by applying to a real deep drawing product.