• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2006.06a
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• pp.179-179
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• 2006

산업기술의 고도화에 따른 IT 산업의 급속한 발전으로 각종 전자, 정보통신기기에 대해 더욱 소형화 고성능화를 요구하고 있다. 이와 같은 경향에 따라 더욱 향상된 기능을 가지고 각종 소자 부품의 개발과 동시에 유독 물질 발생이 없는 청정생산기술 개발에 대한 요구가 끊임없이 제기 되어 왔다. 이러한 요구에 부응하여 기술들이 개발되고 있으며 그 중의 하나로 잉크젯 프린팅 기술이 연구되고 있다. 특히 Dod(Drop on Demand) 방식의 잉크젯은 가정용 프린터로 개발되어 널리 보급된 기술이지만, 이 기술을 PCB 제조기술에 전용하면 친환경 생산공정으로 부품 성장밀도를 증대 시킬 수 있다. 기존의 PCB 제조기술은 전극과 신호 패턴을 형성시키기 위하여 노광공정과 에칭공정을 반복적으로 사용하고 있는데, 노광공정에서 쓰이는 마스크와 유틸리티 설비 유지 비용의 문제가 대두되고 있다. 노즐로부터 분사된 잉크 액적들의 집합으로 기판위에 점/선/면의 인쇄이미지를 구현하게 된다. 그러므로 인쇄 해상도는 잉크액적 및 인쇄 방법, 기판과의 상호작용에 크게 의존하게 된다. 잉크 액적과 기판의 상호작용에 영향을 미치는 요소로는 잉크의 물리화학적 물성(밀도, 점도, 표면장력), 잉크 액적의 충돌 조건(액적 지름, 부피, 속도), 그리고 기판의 특성(친수/소수성, Porous/Nonporous, 표면조도 등)을 들 수 있겠다. 우선적으로 노즐을 통과해서 분사되는 액적의 크기에 따라 기판위에 형성되는 라인의 두께 및 폭이 결정된다. 떨어진 액적이 기판위에서 퍼지는 것을 UV 조사를 통한 가경화 과정을 통해서 최종적으로 라인의 투께 및 폭을 조절하려고 한다. 따라서 선폭 $75{\mu}m$의 일정한 미세 배선을 형성시키기 위해 액적 크기 조절과 탄착 resist 액적 표면의 UV 가경화 조건으로 구현하려고 한다. 또한 DPI(Dot Per Inch) 조절을 통한 인쇄로 탄착 resist의 두께 확보 후 에칭시 박리되는 현상을 억제 시키려 한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.887-887
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• 2012

기후변화에 의한 강우패턴의 변화는 강우량 및 강우강도의 증가로 대표되며 국립기상연구소 (2011)에 의하면 현재와 같은 탄소배출이 줄어들지 않는다면 2050년 우리나라의 강수량은 16% 증가하고 일 강수량 80mm 이상의 호우발생일수가 60%이상 증가될 것으로 전망하고 있다. 이와 같이 기후변화로 인해 발생빈도가 증가추세인 집중호우는 산사태와 같은 2차 피해를 유발하고 있으며 강우의 예측 및 실시간 모니터링은 재해 예방 및 수자원관리, 국가 방재역량 강화를 위해 연구되어야 할 분야이다. 이에 본 연구에서는 광역적 강우자료로서 미국 NOAA의 기후예측센터에 의해 제공되는 글로벌 강우량 CMORPH와 지상 강우자료와의 비교 분석을 통해 CMORPH 자료의 수자원 분야 이용 가능성을 분석하는 것을 목적으로 한다. CMORPH는 고급의 시공간적 해상도를 가지며, 단기간의 기후 예측센터 모핑(morphing) 방법에 의한 "CMORPH"라 불리우는 강우평가 알고리즘과 새로운 위성 기반 기술을 이용하여 개발되었다. CMORPH 기술에 의해 생산된 글로벌 강우 추정은 저궤도 위성 수동 마이크로파(passive microwaves, PMW) 관측으로부터 유도되고, 그 형태는 전적으로 정지궤도 위성(geostationary satellite) 적외선(IR) 데이터로부터 얻어진 공간적 전파 정보 (모션 벡터)를 통해 전송된다. 이 기술은 PMW 데이터로부터 유도된 비교적 고품질의 추정 강우를 전파하기 위하여 30분 간격의 정지궤도 위성 IR 이미지로부터 파생된 모션 벡터를 이용하며, 때때로 레이더보다 더 나은 성능을 보이기도 하고(Apip 등 2010), CMORPH의 지역적 제공범위는 $60^{\circ}N-60^{\circ}S$이고 2002년 12월부터 제공하고 있다. 본 연구에서는 CMORPH 자료 중 2002년 12월부터 제공하는 3시간 누가강우 자료를 수집하였고, 자료의 정확도 분석은 갑천유역을 대상으로 하였다. 3시간 누가 강우량을 1일 누가 강우량으로 변환한 후 금강홍수통제소의 갑천 유역 강우관측소 5곳의 강우자료를 티센 평균에 의한 유역 평균강우자료와 비교하였다. 2009년 1년간의 지상관측자료와 CMORPH자료를 비교한 결과 가 0.34 정도로 분석되었으나 추가 연구를 통해 마이크로 웨이브 강우자료 및 3시간 강우자료, 그리고 30분 강우자료의 분석을 통해 다양한 형태의 강우자료 확보뿐만 아니라 광역적인 강우특성 분석도 가능하여 연구 결과의 동아시아지역 등으로 확대 적용할 수 있을 것으로 기대한다.

• Journal of the Korean Geotechnical Society
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• v.36 no.9
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• pp.45-55
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• 2020

X-ray computed tomography (CT) is very useful for the quantitative evaluation of internal structures, particularly defects in rock samples, such as pores and fractures. In situ CT allows 3D imaging of a sample subjected to various external treatments such as loading and therefore enables observation of changes that occur during the loading process. We reviewed state-of-the-art of in situ CT applications for geomaterials. Two triaxial cells made using relatively low density but high strength materials were developed aimed at in situ CT scanning during hydro-mechanical laboratory testing of rocks. Preliminary results for in situ CT imaging of granite and sandstone samples with diameters ranging from 25 mm to 50 mm show a resolution range of 34~105 ㎛ per pixel pitch, indicating the feasibility of in situ CT observations for internal structural changes in rocks at the micrometer scale. Potassium iodide solution was found to improve the image contrast, and can be used as an injection fluid for hydro-mechanical testing combined with in situ CT scanning.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.6
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• pp.1343-1352
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• 2018

This paper is designed for hardware to be applied to JPEG2000 standard in the fields of digital photography, remote sensing, aerial remote telemetry, medical imaging, high resolution, and high compression telemetry applications. The software implementation of the JPEG2000 standard for image compression has disadvantages that the processing speed is very slow compared to the conventional JPEG, also the degradation occurs when the DWT level of the JPEG2000 standard is improved. In order to solve this problem, we designed and applied JPEG2000 compression/decompressor. In this paper, the hardware of the JPEG 2000 compression/storage device shows optimal compression speed, faster processing speed, and the image quality for still images by changing the optimal DWT level.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.30 no.2
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• pp.177-180
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• 2019

To improve the accuracy rate of guided weapons, many studies have been conducted on the accurate detection and identification of targets from sea clutter. Because of the variety and complicated characteristics of both sea-clutter and target signals, an active target recognition technique is required. In this study, we propose an algorithm to distinguish clutter and recognize targets by applying a fractal signature(FS) classifier, which is a fractal dimension, and a high-resolution target image(HRTI) classifier, which applies scene matching to an image formed from a scanned image. Simulation results using the algorithm revealed that the HRTI classifier recognized targets 1 and 2 at a 100 % rate, whereas the FS classifier recognized targets 1 and 2 at rates of 90 % and 93 %, respectively.

• Smart Media Journal
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• v.12 no.7
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• pp.9-17
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• 2023

Plant diseases and pests affect the growth of various plants, so it is very important to identify pests at an early stage. Although many machine learning (ML) models have already been used for the inspection and classification of plant pests, advances in deep learning (DL), a subset of machine learning, have led to many advances in this field of research. In this study, disease and pest inspection of abnormal crops and maturity classification were performed for normal crops using YOLOX detector and MobileNet classifier. Through this method, various plant pest features can be effectively extracted. For the experiment, image datasets of various resolutions related to strawberries, peppers, and tomatoes were prepared and used for plant pest classification. According to the experimental results, it was confirmed that the average test accuracy was 84% and the maturity classification accuracy was 83.91% in images with complex background conditions. This model was able to effectively detect 6 diseases of 3 plants and classify the maturity of each plant in natural conditions.

• Journal of Platform Technology
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• v.11 no.3
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• pp.56-67
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• 2023

Recently, de-identification of personal information, which has been a long-cherished desire of the data-based industry, was revised and specified in August 2020. It became the foundation for activating data called crude oil[2] in the fourth industrial era in the industrial field. However, some people are concerned about the infringement of the basic rights of the data subject[3]. Accordingly, a development study was conducted on the Batch De-Identification Tool, a personal information de-identification automation tool. In this study, first, we developed an image labeling tool to label human faces (eyes, nose, mouth) and car license plates of various resolutions to build data for training. Second, an object recognition model was trained to run the object recognition module to perform de-identification of personal information. The automated personal information de-identification tool developed as a result of this research shows the possibility of proactively eliminating privacy violations through online services. These results suggest possibilities for data-based industries to maximize the value of data while balancing privacy and utilization.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.6
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• pp.107-112
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• 2022

In an embedded system such as a drone, it is difficult to store, transfer and analyze the entire hyper-spectral image to a server in real time because it takes a lot of power and time. Therefore, the hyper-spectral image data is transmitted to the server through dimension reduction or compression pre-processing. Feature selection method are used to send only the bands for analysis purpose, and these algorithms usually take a lot of processing time depending on the size of the image, even though the efficiency is high. In this paper, by improving the temporal disadvantage of the band selection algorithm, the time taken 24 hours was reduced to around 60-180 seconds based on the 40000*682 image resolution of 8GB data, and the use of 7.6GB RAM was significantly reduced to 2.3GB using 45 out of 150 bands. However, in terms of pixel classification performance, more than 98% of analysis results were derived similarly to the previous one.

• Journal of Space Technology and Applications
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• v.3 no.3
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• pp.257-279
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• 2023

Korea Aerospace Research Institute has developed 6U Nano-Satellite high resolution video and image (HiREV) for the purpose of developing core technology for deep space exploration. The 6U HiREV Nano-Satellite has a mission of high-resolution image and video for earth observation, and the thermal pointing error between the lens and the camera module can occur due to the high temperature in camera module on mission mode. The thermal pointing error has a large effect on the resolution, so thermal design should solve it because the HiREV optical camera is developed based on commercial products that are the industrial level. So, when it operates in space, the thermal design is needed, because it has the best performance at room temperature. In this paper, three passive thermal designs were performed for the camera mission payload, and the thermal design was proved to be effective by performing on-orbit thermal analysis.

• Journal of Advanced Navigation Technology
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• v.27 no.5
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• pp.495-501
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• 2023

P-3C/K aircraft for maritime patrols that Republic of Korea Navy is using, is equipped with a variety of sensors and communication devices. Collected data from the aircraft is managed as tactical information by flight operators and stored. When the flight mission is completed, this information is transferred to tactical support center on the ground and played back or used for follow-up work through a analysis tool. During a flight mission, there are tens of thousands of detection objects within an hour in KADIZ (Korea air defense identification zone). In contrast, in TSD (tactical situation display), which displays a map when using the analysis tool, all detected objects are expressed as symbols. The increase in display symbols has a significant impact on the TSD image updating and consequently interferes with the smooth operation of operators. In this paper, we propose applying multiple threads and multiple layers to improve the performance of existing TSD. And the performance improvement is proven through the execution results.