• Journal of Broadcast Engineering
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• v.24 no.6
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• pp.919-927
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• 2019

In this paper, we propose an accurate camera calibration method for acquiring multiview stereoscopic images. Generally, camera calibration is performed by using checkerboard structured patterns. The checkerboard pattern simplifies feature point extraction process and utilizes previously recognized lattice structure, which results in the accurate estimation of relations between the point on 2-dimensional image and the point on 3-dimensional space. Since estimation accuracy of camera parameters is dependent on feature matching, accurate detection of checkerboard corner is crucial. Therefore, in this paper, we propose the method that performs accurate camera calibration method through accurate detection of checkerboard corners. Proposed method detects checkerboard corner candidates by utilizing 1-dimensional gaussian filters with succeeding corner refinement process to remove outliers from corner candidates and accurately detect checkerboard corners in sub-pixel unit. In order to verify the proposed method, we check reprojection errors and camera location estimation results to confirm camera intrinsic parameters and extrinsic parameters estimation accuracy.

• Proceedings of the KSME Conference
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• 2003.04a
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• pp.1173-1178
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• 2003

Recently, Organic EL(Electro Luminescence) is interested in Flat Panel Display(FPD) department of new generation. This paper describes a image processing algorithm for the scratch detecting for ITO coated glass. We use the logical level thresholding method for binarization of gray-scaled glass image. This method is useful to the algorithm for detecting scratch of ITO coated glass automatically without need of any prior information of manual fine tuning of parameters.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2015.11a
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• pp.251-251
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• 2015

최근 질병 조기진단에 대한 사회적 요구가 높아짐에 따라 이에 대한 기술에 관심이 집중되고 있다. 그 중 표면증강라만산란(surface enhanced Raman scattering(SERS))을 이용하여 인체 내 소량의 바이오마커를 검출하는 연구가 활발히 진행중이다. 본 연구에서는 바이오마커의 검지감도를 최대치로 증가시키기 위해 SERS 기판의 나노구조를 최적화 하였다. SERS 기판 표면의 나노구조, 크기, 형상, 밀도 등에 따라 검지감도가 변화되기 때문에 이를 제어하기 위해 증착공정 변수에 변화를 주어 표면의 나노구조를 형성하였다. 이를 분석하기 위해 SEM, XRD를 사용하였으며 최적화된 SERS 기판을 활용하여 Rhodamine 6G의 신호가 $1{\times}10^5$ 이상의 enhancing factor를 확인하였다.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.2681-2683
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• 2001

최근 인터넷과 컴퓨터의 보급 확대로 디지털 매체의 수요가 늘어나면서 불법복제의 증가로 디지털정보에 대한 저작권 보호가 큰 문제로 대두되고 있다. 이를 위한 디지털 매체의 소유권을 주장하는 방법 중에 하나가 워터마크를 삽입하는 것이다. 본 논문에서는 원본 이미지를 DCT 변환하여 DC 성분에 modulus 연산을 이용하여 워터마크를 삽입하는 알고리즘을 제시하였고, 강인성에 영향을 주는 파라미터 값을 최적화하였다. 새로운 알고리즘은 삽입한 워터마크를 추출할 때 원본이미지가 필요치 않은 blind 워터마킹 방법이며, 워터마크를 삽입할 때 사용된 key값만을 가지고 삽입된 워터마크를 추출한다. 본 알고리즘을 이용하여 워터마크를 삽입한 이미지에 JPEG압축, clipping, noise 삽입, resize 등의 4가지 공격을 가하였을 때 워터마크의 검출률이 90% 이상이 되는 강인성을 보였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.131-131
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• 2019

최근 기후변화와 여름철 고온 등으로 인한 녹조현상, 각종 사고로 인한 화학물질 및 유류 유출 등 수질오염과 관련된 사회적 관심이 높아지고 있다. 특히, 화학사고로 인한 유해화학물질 유출은 접촉시 인체에 악영향을 끼치며, 대기 수질 토양을 오염시키고 주변 농작물의 변색이나 괴사를 유발하는 등 발생 시 적절한 조치와 대응이 필요하다. 환경부에서는 유해화학물질 유출사고로 인한 국민건강 및 환경상의 위해를 예방하기 위해 화학물질관리법과 화학물질 등록 및 평가에 관한 법률을 제정하여 유해화학물질을 관리하고 사고에 대응하고 있다. 그러나, 화학사고 발생 시 현장인력에 의존해 공장 인근의 먼지, 악취 등을 감시하거나 화학물질의 유출이 우려되는 곳에 제한적으로 검출센서를 설치해 사고를 감시하고 있으나 미설치 지역에 대한 능동적 탐지가 어렵고, 공간적 분포 탐지가 불가능하여 초동 대응에 한계가 있다. 한편 최근 초분광 영상을 활용하여 물질 고유의 특성을 분석함으로써 토지피복, 식생, 수질 등의 식별에 활용되고 있어 화학물질 감지 가능성도 보여주고 있다. 하지만, 초분광 센서를 활용한 하천의 화학물질 감지를 위한 연구는 아직 미비한 실정이다. 이에 본 연구에서는 우선 유해화학물질의 일종인 황산, 염화티오닐, 톨루엔을 대상으로 지점 분광복사계로 촬영하여 각각의 화학물질이 갖는 분광특성을 수집하여 초분광 영상으로 상호 구분이 가능한 지 확인하고자 하였다. 이상치 검출 및 신뢰도 높은 자료를 구축하기 위해 다회 반복촬영하였으며 반사도의 표준화를 위해 백색판을 동시에 측정하고 이를 정규화하여 분광 라이브러리를 구축한 결과, 대상 화학물질 별 식별이 가능하다는 결과를 도출하였다. 이러한 가능성에 기반하여 추가적인 유해화학물질 분광 라이브러리 데이터베이스를 구축하면, 사고물질의 식별 및 농도를 즉각적으로 확인하고 실시간 모니터링에 적용하여 신속하게 화학사고 발생여부 감지 및 대응에 활용될 것으로 기대한다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.5
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• pp.307-314
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• 2023

As supercomputing and hardware technology advances, climate prediction models are improving. The Korean Meteorological Administration adopted GloSea5 from the UK Met Office and now operates an updated GloSea6 tailored to Korean weather. Universities and research institutions use Low-GloSea6 on smaller servers, improving accessibility and research efficiency. In this paper, profiling Low-GloSea6 on smaller servers identified the tri_sor_dp_dp subroutine in the tri_sor.F90 atmospheric model as a CPU-intensive hotspot. Applying linear regression, a type of machine learning, to this function showed promise. After removing outliers, the linear regression model achieved an RMSE of 2.7665e-08 and an MAE of 1.4958e-08, outperforming Lasso and ElasticNet regression methods. This suggests the potential for machine learning in optimizing identified hotspots during Low-GloSea6 execution.

• Parasites, Hosts and Diseases
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• v.21 no.2
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• pp.265-269
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• 1983

A comparison was made of a new serological method, thin layer immunoassay (TIA), and an established method, enzyme-linked immunosorbent assay (ELISA), in the detection and quantiacation of antibodies in clonorchiasis. Saline extract of Iyophilized Clonorchis sinensis adult worm was used as antigen, and TIA by the method of Elwing et at. (1976) and ELISA by Voller et at. (1974) were performed. Using sera from known clonorchiasis cases,100% of the sera tested were Positive by TIA and 88.35 by ELISA. TIA produced false positive results in 14 out of 36 cases, which were 10 amoebiasis cases, 16 paragonimiasis cases and 10 healthy controls. ELISA. however, produced a small number of false positives, 7 out of 55 cases. There was correlation between Immunoglobulin G level in sera and ELISA value (correlation coefficient, 0.69), whereas no correlation between Immunoglobulin G level and TIA result. The Performance of TIA and ELISA was not correlated in the results using homologous antigen.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.567-568
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• 2018

In recent years, there have been frequent occurrences of collapsing buildings and tilting accidents due to frequent earthquakes and aging of buildings. Various methods have been proposed to prevent disasters on these buildings. In this paper, we propose a system algorithm that provides an indication of anomalous phenomena such as collapse and tilting of buildings by real - time monitoring of IoT (Internet of Things) - based architectural anomalies. The multi-advanced sensor is based on the Inclinometer sensor and the Accelerometer sensor, transmits the detected data to the server in real time, accumulates the data, and provides the service to cope when the set threshold value is different. It is possible to evacuate and repair the collapse and tilting of the building by warning the occurrence of the upper threshold event event such as the collapse and tilting of the building.

• Journal of the Korea Society of Computer and Information
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• v.16 no.12
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• pp.197-204
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• 2011

In this paper, There is a study of a smartphone-based App for e-learning when the process control of manufacturing. First, That is obtained the control limit lines after inputted by the measured data and able to look up the assignable causes and then can display those causes. A User of this App can access the record about assignable causes using the record menu and can use with an e-Learning tool. Because that were provided in the form of a control process theory and bulletin announcements. Helped to exchange information. In addition, the user's guide how to use this App. The result of this process control is provided by charts. The alarm message to the alertsymbol, depending on the level of color clearly was designed to UI which displays the results. After the questionnaire responses with respect to satisfaction of Utilization and satisfaction of the learning experience. The Utilization' satisfaction results Appeared that 82% of the participants were satisfied. And The learning's satisfaction results Appeared that 90% of the participants were satisfied.

• The Journal of Natural Sciences
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• v.8 no.1
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• pp.87-92
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• 1995

In the Vicinity of the Sindae-dong waste disposal site in Taejon, the average Cu, pb and Zn concentrations in soils are higher than those in other Korean soils but these are not high enough to cause any harmful effect to human and animal through the crop plants. Copper, Pb and Zn are not detected in the groundwater samples and F, Cl, $NO_2$, $NO_3$ and $SO_4$ concentrations in groundwater samples are lower than drinking water standards. However, the pH of groundwater sample in site D is 5.58 which is not suitable for the drinking water. With the electric resistivity method, the water-containg layers are found in contaminated soils and the resistivity values are considerably low because of the dispersion of plume by the leak of leachates. According to the results from the magnetic survey method, the anomalous values of the total geomagnetic fields and their gradients are found in the sampling site of low resistivity and high trace element concentrations.