• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.1297-1300
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• 2022

Document layout analysis는 문서 이미지의 구조와 구성요소를 파악하는 기술이다. 기존 딥러닝을 사용한 학습 기반 방법에는 각 구성 요소를 검출하는 detection 기반 방식이 많으나 이는 다양한 형식의 문서 이미지에 확장될 수 있는 가능성이 낮다는 한계가 존재한다. 특히, 다양한 모양과 크기의 화학 구조를 포함하는 화학 문서 이미지에 적용하기 어렵다. 본 논문에서는 영상분할을 활용하여 화학 구조 문서를 이해하는 연구를 진행하였다. 기존의 블록 단위로 레이블링된 벤치마크와 다르게 객체 단위로 레이블링한 학습 데이터를 가지고 DeepLabv3 구조의 네트워크를 학습하여 화학 문서 이미지를 효과적으로 분할하였다. 객체 단위 레이블링과 영상 분할을 사용한 방식이 문서 이해 및 화학 구조 검출에 준수한 성능을 보이는 것을 확인하였고 이 방식이 다양한 형식의 문서 이미지에 확장될 수 있음을 보였다.

• Journal of Science Education
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• v.32 no.1
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• pp.47-60
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• 2008

The Ministry of Science and Technology has been planning various events and carrying them out as the effort for promotion and popularization of science. The ministry has made followings: i)Science culture year, 2004 ii) Physics year, 2006 iii)Chemistry year, 2007 iv)Biology year, 2008. Especially, in 2006 the ministry held various exhibitions and contests about chemistry. The science play "Oxygen" had been presented in the whole country, 2006. From 2006 to 2007 the moving science museum had been displayed many times in the whole country. The national broadcast media KBS made a special program and televised several times to commemorate the year of chemistry. Like that in 2006 the chemistry approached to general people. In these surroundings, we wondered how chemistry was expressed in daily newspaper and how the general public accepted chemistry in the year of chemistry, 2006. So we selected four daily newspaper and researched descriptions about chemistry then analyzed the image of chemistry in that descriptions. When we research, we first selected 5 words of high frequency. On the internet research engine we used these 5 words and searched descriptions. We read and sorted descriptions which were more connected to chemistry. Finally we analyzed the images of descriptions(affirmative or negative) and character. The chemistry's image on newspaper descriptions influences people greatly. Because that is the easiest channel.

• Korean Chemical Engineering Research
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• v.61 no.2
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• pp.247-257
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• 2023

Precise counting of cell number stands in important position within clinical and research laboratories. Conventional methods such as hemocytometer, migration/invasion assay, or automated cell counters have limited in analytical time, cost, and accuracy., which needs an alternative way with time-efficient in-situ approach to broaden the application avenue. Here, we present simple coding-based cell counting method using image analysis tool, freely available image software (ImageJ). Firstly, we encapsulated RFP-expressing bacteria in a droplet using microfluidic device and automatically performed fluorescence image-based analysis for the quantification of cell numbers. Also, time-lapse images were captured for tracking the change of cell numbers in a droplet containing different concentrations of antibiotics. This study confirms that our approach is approximately 15 times faster and provides more accurate number of cells in a droplet than the external analysis program method. We envision that it can be used to the development of high-throughput image-based cell counting analysis.

• Journal of the Korean Chemical Society
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• v.51 no.2
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• pp.201-212
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• 2007

This study examined the influences of current education programs for preservice chemistry teachers upon preservice science teachers' self-images as science teachers by using Draw-A-Science-Teacher-Test Checklist (DASTT-C). Seventy-two juniors and fifty-three seniors were selected from the department of chemistry education or department of science education (chemistry major) in three colleges of education. DASTT-C was administered to the juniors before having science education courses, and to the seniors before and after teaching practices. The results revealed that preservice science teachers' self-images as science teachers were more ‘teacher-centered' than ‘student-centered'. Only a few preservice science teachers exhibited ‘student-centered' images after having science education courses including the contents on constructivism. The self-images of some preservice science teachers even changed from ‘student-centered' to ‘teacher-centered' after having teaching practices. Many preservice science teachers answered that the main factors affected to their self-images as science teachers were prior teaching-learning experiences and/or the lim itations in the real situations. Educational implications of these findings are discussed.

• Applied Chemistry for Engineering
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• v.34 no.1
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• pp.80-85
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• 2023

New yellow quinoline-dione dye derivatives were designed and synthesized for use in image sensor color filters. The synthesized compounds have a basic chemical structure composed of quinoline and dione groups. New materials were evaluated on the basis of their optical and thermal properties under conditions mimicking those of a commercial device fabrication process. A comparison of their related performances revealed that, between the two prepared compounds, 2-(3-hydroxyquinolin-2(1H)-ylidene)-1H-indene-1,3(2H)-dione (HQIDO) exhibited the superior performance as an image sensor color filter material, including a solubility greater than 0.5 wt% in propylene glycol monomethyl ether acetate solvent and a high decomposition temperature of 298 ℃, respectively. The results suggest that HQIDO can be used as a yellow dye additive in an image sensor colorant.

• Applied Chemistry for Engineering
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• v.34 no.6
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• pp.590-595
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• 2023

Novel aromatic imine derivatives with yellow were designed and synthesized for their potential application in color filters for image sensors. The synthesized compounds possessed chemical structures using aromatic imine groups. This innovative material was evaluated thoroughly, considering its optical and thermal properties under conditions similar to commercial device manufacturing processes. Following a rigorous performance evaluation, it was found that (E)-3-methyl-4-((3-methyl-5-oxo-1-phenyl-1H-pyrazol-4(5H)-ylidene)methyl)-1-phenyl-1H-pyrazol-5(4H)-one, abbreviated as MOPMPO, exhibited an impressive solubility of 0.5 wt% in propylene glycol monomethyl ether acetate, predominantly utilized as the solvent in the industry. Furthermore, MOPMPO showed exceptional performance as a color filter material for image sensors, having a high decomposition temperature of 290 ℃. These data unequivocally establish MOPMPO as a viable yellow dye additive for coloring materials in image sensor applications.

• Plant Journal
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• v.17 no.3
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• pp.37-41
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• 2021

P&ID((Piping and Instrument Diagram) is a key drawing in the engineering industry because it contains information about the units and instrumentation of the plant. Until now, simple repetitive tasks like listing symbols in P&ID drawings have been done manually, consuming lots of time and manpower. Currently, a deep learning model based on CNN(Convolutional Neural Network) is studied for drawing object detection, but the detection time is about 30 minutes and the accuracy is about 90%, indicating performance that is not sufficient to be implemented in the real word. In this study, the detection of symbols in a drawing is performed using 1-stage object detection algorithms that process both region proposal and detection. Specifically, build the training data using the image labeling tool, and show the results of recognizing the symbol in the drawing which are trained in the deep learning model.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.05a
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• pp.295-299
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• 2002

본 연구에서는 피륙의 물리화학적 특성에 의해 결정되는 촉감, 태 이외에도 색채, 무의 등 여러 요소들의 영향을 받아 복합적으로 표현되는 의류소재의 총체적인 개념인 의류소재 이미지는 어떤 것들이 있으며 이러한 이미지들은 어떻게 분류될 수 있는지를 알아보기 위하여 의류소재 이미지의 평가를 위한 축을 개발해 보았다. 1995년부터 2000년까지의 Texjournal과 인터패션플래닝에서 발간되는 98/99FW부터 0255까지 트렌드 북에서 소재를 설명하는 형용사를 조사하여 유사한 형용사를 통합 처리하여 87개의 형용사를 최종 추출하여 형용사쌍을 만들고 소재 자극 없이 형용사쌍이 주는 소재이미지만을 가지고 쌍비교법을 통해 유사성을 7점 척도로 표시하도록 하였다. 얻어진 결과를 다차원척도법을 이용하여 분석하여 87개의 형용사의 평가차원을 살펴보았다. 의류소재 이미지를 평가하는 축을 다차원 척도법을 이용하여 개발한 결과 '남성적-여성적', '새로운-낡은 듯한', '캐주얼-클래식', '모호한-정돈된'의 4가지 차원의 8개축이 개발되었다.

• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.139-147
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• 2022

The goal of this study is to develop a mobile application so that a person who is new to chemistry can easily acquire the knowledge necessary for chemical structure learning using image tracking technology. The point of this study is to provide a new chemical structure learning experience by recognizing a two-dimensional picture, augmenting the chemical structure into a three-dimensional object, showing it on the user's screen, and using a service that simultaneously provides related information in multiple fields. characteristic. Login API and real-time database technology were used for safe and real-time data management, and an application was developed using image tracking technology for image recognition and 3D object augmentation service. In the future, we plan to use the chemical structure data library to efficiently load and output data.

• Proceedings of the Korean Vacuum Society Conference
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• 2016.02a
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• pp.86-86
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• 2016

최근 포항가속기연구소 10A 빔라인에 Scanning Transmission X-ray Microscopy (STXM)가 완성되어 운영 중이다. Soft x-ray imaging 장치로서 기술적으로 Sample scanning 기법이 활용된다. 이는 Zone plate를 통해 집속된 빔이 샘플에 조사되고 검출되는 방식이다. 이러한 Scanning 기법을 활용하고 있는 10A STXM은 기본적으로 흡수분광기법 (x-ray absorption spectroscopy)을 이용하고 있다. 특히, 10A 빔라인 STXM은 최고 20 nm까지 공간분해능이 가능하다는 장점이 있다. 따라서 수십에서 수백 나노미터 크기의 시료들 또는 나노구조에 대한 물리화학적 상태 분석이 쉽게 이루어지고 있다. 주로 시료를 투과하면서 흡수되는 X-선 세기 대비를 맵핑하는 형식의 이미지 데이터와 더불어 X-선의 에너지를 조정함으로써 각 에너지에 해당하는 이미지스택을 결과로 얻게 된다. 이러한 이미지 결과로부터 시료의 나노크기에서 오는 물리화학적 상태를 분석하고 물리에서 바이오까지 다양한 분야의 실험 활용이 가능한 상태다.