• Journal of the Korean Geotechnical Society
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• v.24 no.7
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• pp.25-36
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• 2008

The plane strain test can reproduce the real field condition and failure behavior precisely over other laboratory shear tests. Accordingly, this test has been utilized to investigate the shearing behaviors associated with overall failure behavior and local deformation of soils. However, most plane strain tests have been carried out with restrained end plates due to difficulties in manufacturing the equipment and also performing it. This restraint induces different results with real field because of shear stress on end plates. In this study, plane strain tests with/without bottom plate restraint were performed on Jumunjin-sand. The measurement of overall and local deformation was accomplished by digital image correlation technique as well as external LVDT. By applying digital image correlation method using two consecutive images captured through the transparent wall, local deformation behavior of various parts inside the specimen was estimated. And the formation and development of shear band caused by the restrained effect of end plate and the deformation mechanism of sand under plane strain condition were examined.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.683-684
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• 2017

본 논문은 실내용 LED 전광판 시스템에서 문자 출력을 위한 완성형 폰트 기법을 개선하기 위해 비트맵 이미지 픽셀의 색상값을 이용하여 실시간으로 폰트를 생성하는 기법을 제안한다. 본 논문에서 제안한 기법은 출력을 위한 문자 폰트를 사전에 정의해 저장하지 않고 텍스트를 비트맵 이미지로 변환한 후 이진화 하여 각 픽셀의 색상값을 이용해 출력 폰트를 실시간으로 생성하도록 한다. 실시간 폰트 생성 기법은 사전에 정의된 문자와 입력된 데이터를 비교하기 위한 과정이 생략되어 메모리 낭비를 줄일 수 있다. 또한 제안된 기법은 사전에 정의되지 않은 다양한 형태의 문자를 입력받아 출력할 수 있기 때문에 문자 표현 방식이 다양해져 정보 전달 효과를 높인다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.603-606
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• 2006

In this study, we proposed a Modified Log-Periodic Tooth antenna structure with reflector for millimeter wave image sensor of PMMW(Passive Millimeter Wave). PMMW image sensor satisfy the requirements, such as, High Gain, Wideband, and Planar antenna structure.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.405-408
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• 2023

본 논문에서는 '그림'이라는 주제를 통해 자기 작품을 그림에 관심이 많은 사람과 자유롭게 소통하고 작품성을 높이기 위해 이미지 필터 조정 및 특징을 표현하는 웹사이트를 제작하였다. '그림'을 통해 대중들에게 자기 작품을 보여 줄 수 있는 활동은 '전시회' 이외에는 없기 때문에 이 웹사이트에 게시판 기능을 통해 자기 작품을 더 쉽게 공개함과 동시에 google cloud vision api를 활용해 자기 작품에 특징을 그래프로 시각적인 효과를 이용해 추출하고 필터를 변경하여 좀 더 작품에 대한 완성도를 더해주며, 본 웹사이트를 통해 그림에 대한 문화 활동이 다른 문화 활동에 비해 좀 더 앞서갈 것이라고 기대한다.

• Archives of design research
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• v.15 no.4
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• pp.263-274
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• 2002

This study aims to analyze the image of long-span structures. For the intention, it analyzes the relationship between images and physical attributions of elements such as materials, stresses, configurations, compositions and shapes of structures. The image of structures can represent following 5 factors; friendly-unfriendly, strong-weak, dynamic-calm, superior-inferior, and regular-irregular. The friendly-unfriendly in the image of structure mostly determines on a finished material and partly with a structural shape. The strong-weak in the image of structure determines on configuration of the structural members. The dynamic-calm in the image of structure determines on the structural shape. Hence the structure has dynamic forms when it seems to be open and sharp, namely when it receives the flow of forces in the structural shape, and it has a (-) gauss curved rate or an diagonal appearance. The superior-inferior in the image of structure determines on composition of structural elements. The structure seems to be superior is contributed not simply to support load but positively to create design as a tectonic element. From now on, this study can provide the useful information on the long-span structure design through the more appropriate analysis of the image.

• Journal of IKEEE
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• v.18 no.4
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• pp.485-494
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• 2014

Traffic Sign Recognition(TSR) is an important element in an Advanced Driver Assistance System(ADAS). However, many studies related to TSR approaches only in normal daytime environment because a sign's unique color doesn't appear in poor environment such as night time, snow, rain or fog. In this paper, we propose a new TSR algorithm based on machine learning for daytime as well as poor environment. In poor environment, traditional methods which use RGB color region doesn't show good performance. So we extracted sign characteristics using HoG extraction, and detected signs using a Support Vector Machine(SVM). The detected sign is recognized by a decision tree based on 25 reference points in a Normalized RGB system. The detection rate of the proposed system is 96.4% and the recognition rate is 94% when applied in poor environment. The testing was performed on an Intel i5 processor at 3.4 GHz using Full HD resolution images. As a result, the proposed algorithm shows that machine learning based detection and recognition methods can efficiently be used for TSR algorithm even in poor driving environment.

• Journal of the Semiconductor & Display Technology
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• v.14 no.4
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• pp.13-19
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• 2015

In this paper, the principle of devices which can magnify images without distorting the images is described. When the device is put on a smart phones, viewers can see the magnified images. Magnified images can be few 100 times bigger than the original images. Therefore, viewers can see movie theater size images with the device put on a smart phone. Two different schemes are explained in the paper and one realization of the device is presented. The device can be used in many different application areas.

• Journal of Information Management
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• v.40 no.4
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• pp.49-71
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• 2009

As the importance and proportion of electronic records increases in the public sector, the necessity for variable types of records management has strengthened. Elements of records management metadata standards, which were provided in 2007 by the National Archives of Korea, focused mainly on text-centered records management standards. Therefore an extension of elements which can represent diverse types of electronic records is needed. In this study, metadata elements focusing on image records are suggested. For this, the characteristics of image records are investigated and the Australian government recordkeeping metadata standard and the PREMIS data dictionary, which have been recently modified, are analyzed. Through this, four elements, format, significant properties, environment, and coverage are suggested to fortify the current records management standard.

• Journal of the Korea Society of Computer and Information
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• v.14 no.10
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• pp.73-82
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• 2009

This paper proposes a variance recovery method for character strokes that can be missed in applying the previously proposed color variance approach in text detection of natural scene images. The previous method has a shortcoming of missing the color variance due to the fixed length of horizontal and vertical windows of variance detection when the character strokes are thick or long. Thus, this paper proposes a variance recovery method by using geometric information of bounding boxes of connected components and heuristic knowledge. We have tested the proposed method using various kinds of document-style and natural scene images such as billboards, signboards, etc captured by digital cameras and mobile-phone cameras. And we showed the improved text detection accuracy even in the images of containing large characters.

• Journal of Broadcast Engineering
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• v.27 no.2
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• pp.185-197
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• 2022

Recently, deep learning networks with high performance for object recognition are emerging. In the case of object recognition using deep learning, it is important to build a training data set to improve performance. To build a data set, we need to collect and label the images. This process requires a lot of time and manpower. For this reason, open data sets are used. However, there are objects that do not have large open data sets. One of them is data required for license plate detection and recognition. Therefore, in this paper, we propose an artificial license plate generator system that can create large data sets by minimizing images. In addition, the detection rate according to the artificial license plate arrangement structure was analyzed. As a result of the analysis, the best layout structure was FVC_III and B, and the most suitable network was D2Det. Although the artificial data set performance was 2-3% lower than that of the actual data set, the time to build the artificial data was about 11 times faster than the time to build the actual data set, proving that it is a time-efficient data set building system.