• 한국지능시스템학회논문지
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• 제15권7호
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• pp.817-822
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• 2005

최근 실내 환경에서 로봇의 서비스를륵 위해 영상 정보를 사용하기 인한 인구가 활발하다. 과거의 영상 처리 전근 방법은 미리 정의된 기하학적 모델에 기반 하기에, 이를 실내 환경과 같은 가변적인 환경에 적용할 시 성능이 저하된다. 이에 지식을 기반으로 불확실성을 해결하여 영상 인식 성능을 높이기 위한 다양한 연구가 진행되어 왔다. 본 논문에서는 실내에서 활동하는 서비스 로봇의 물체 인식 성능을 향상시키기 위해, 대상 물체가 다른 물체에 의서 가려져 있는 경우 대상물체의 존재 여부를 추론하기 위한 베이지안 네트워크 모델링 방법을 제안한다. 제안하는 방법은 물체간이 관계를 모델링하여 발견된 물체를 통해 대상 물체를 추론할 수 있게 하였다. 이를 위해 작은 규모의 베이지안 네트워크(프리미티브 베이지안 네트워크)를 위한 설계 방법을 정의하고 이를을 다시 상황에 맞게 결합하였다. 실험은 설계된 모델의 성능을 검증하기 위해 수행되었는데, 5가지 장소에서 $82.8\%$의 정확도를 보여주었다.

• 한국수산과학회지
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• 제37권4호
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• pp.337-344
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• 2004

A real-time surveillance system of the inshore fishing ground was constructed to identify and detect discrete targets, such as illegal fishing vessels. This paper describes measurements made with a combination of sensors, such as radar, CCTV camera, and GPS receivers, for monitoring the fishing activity of small vessels within the fishing limit zones of the inshore waters. The CCTV camera system was used to confirm detection and to classify the type of target. The location of legal vessels distributed in coastal waters was acquired from each GPS system of ships connected to commercial satellite communication network. The surveillance system was networked via LAN to one host PC with the use of electronic navigational charts (ENC) and a radar link. Radar Target Extractor (RTX) for radar signal processing can be remotely accessed and controlled on existing PC via the internet, from anywhere, at any time. Results are presented that demonstrate the effectiveness of the newly constructed fisheries monitoring system for conducting continuous surveillance of illegal fishing vessels in the inshore fishing ground. The identification of illegal fishing vessels was achieved by comparing radar positions of illegal fishing vessels exceeding the warning limits in the surveillance area with GPS position reports transmitted from legal fishing vessels, and the illegal fishing vessels were marked with red symbols on the ENC screen of a PC. The methods to track the activities of all vessels intruding or leaving the fishing limit zones also were discussed.

• ETRI Journal
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• 제42권4호
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• pp.480-490
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• 2020

More than 42 000 fires occur nationwide and cause over 2500 casualties every year. There is a lack of specialized equipment, and rescue operations are conducted with a minimal number of apparatuses. Through-the-wall radars (TTWRs) can improve the rescue efficiency, particularly under limited visibility due to smoke, walls, and collapsed debris. To overcome detection challenges and maintain a small-form factor, a TTWR system-on-chip (SoC) and its architecture have been proposed. Additive reception based on coherent clocks and reconfigurability can fulfill the TTWR demands. A clock-based single-chip infrared radar transceiver with embedded control logic is implemented using a 130-nm complementary metal oxide semiconductor. Clock signals drive the radar operation. Signal-to-noise ratio enhancements are achieved using the repetitive coherent clock schemes. The hand-held prototype radar that uses the TTWR SoC operates in real time, allowing seamless data capture, processing, and display of the target information. The prototype is tested under various pseudo-disaster conditions. The test standards and methods, developed along with the system, are also presented.

• Food Science and Biotechnology
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• 제17권5호
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• pp.1038-1046
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• 2008

This study was carried out to develop a small-sized biosensor based on surface plasmon resonance (SPR) for the rapid identification of insecticide residues for food safety. The SPR biosensor module consists of a single 770 nm-light emitting diodes (LED) light source, several optical lenses for transferring light, a hemisphere sensor chip, photo detector, A/D converter, power source, and software for signal processing using a computer. Except for the computer, the size and weight of the sensor module are 150 (L)$\times$70 (W)$\times$120 (H) mm and 828 g, respectively. Validation and application procedures were designed to assess refractive index analysis, affinity properties, sensitivity, linearity, limits of detection, and robustness which includes an analysis of baseline stability and reproducibility of ligand immobilization using carbamate (carbofuran and carbaryl) and organophosphate (cadusafos, ethoprofos, and chlorpyrifos) insecticide residues. With direct binding analysis, insecticide residues were detected at less than the minimum 0.01 ppm and analyzed in less than 100 sec with a good linear relationship. Based on these results, we find that the binding interaction with active target groups in enzymes using the miniaturized SPR biosensor could detect low concentrations which satisfy the maximum residue limits for pesticide tolerance in Korea, Japan, and the USA.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2013년도 제44회 동계 정기학술대회 초록집
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• pp.85-85
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• 2013

Label-free, sensitive and selective detection methods with high spatial resolution are critically required for future applications in chemical sensor, biological sensor, and nanospectroscopic imaging. Here I describe the development of Plasmon Resonance Energy Transfer (PRET)-based molecular imaging in living cells as the first demonstration of intracellular imaging with PRET-based nanospectroscopy. In-vivo PRET imaging relied on the overlap between plasmon resonance frequency of gold nanoplasmonic probe (GNP) and absorption peak frequencies of conjugated molecules, which leads to create 'quantized quenching dips' in Rayleigh scattering spectrum of GNP. The position of these dips exactly matched with the absorption peaks of target molecules. As another innovative application of PRET, I present a highly selective and sensitive detection of metal ions by creating conjugated metal-ligand complexes on a single GNP. In addition to conferring high spatial resolution due to the small size of the metal ion probes (50 nm in diameter), this method is 100 to 1,000 folds more sensitive than organic reporter-based methods. Moreover, this technique achieves high selectivity due to the selective formation of Cu2+complexes and selective resonant quenching of GNP by the conjugated complexes. Since many metal ion ligand complexes generate new absorption peak due to the d-d transition in the metal ligand complex when a specific metal ion is inserted into the complex, we can match with the scattering frequency of nanoplasmonic metal ligand systems and the new absorption peak.

• 한국군사과학기술학회지
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• 제18권4호
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• pp.358-368
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• 2015

Recently, unmanned systems are largely utilized in various fields due to the persistency and the least operational risk and an unmanned surface vehicle(USV) is the one of the representative application in the naval field. To assign multiple roles to an USV, we developed a sonar system which consists of a forward detecting sonar for the long-range detection, a downward detecting sonar for the small target scan and identification, and a strut type body for mounting sonar systems. In this paper, we described the developed sonar system for USV and the sea test results for verifying system performance. The test results showed that the developed sonar system was able to detect the underwater target about several kilometers away and could recognize a small object at the downside of the sonar system. We expect that the developed sonar system will be easily applied to other unmanned platforms without serious consideration.

• Journal of Applied Biological Chemistry
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• 제58권4호
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• pp.383-387
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• 2015

국내 유통 식품 수입 식품 중 토끼와 고양이 고기의 혼입 여부를 알아내고 불법 도축된 고양이 고기를 토끼 고기나 다른 고기로 속여 판매하는 것을 방지하기 위해 토끼와 고양이를 동시에 검출할 수 있는 polymerase chain reaction (PCR) 법을 개발하였다. 토끼와 고양이의 종 특이 프라이머는 미토콘드리아의 cytochrome b 유전자를 대상으로 하였고 개발된 프라이머를 가공식품에 활용하는 것을 고려하여 PCR 산물의 크기는 토끼 101 bp, 고양이 191 bp로 최소화 하였다. 프라이머의 특이성은 총 21종의 동물을 대상으로 검토하였다. 개발된 검출법의 검출 한계는 시료 DNA를 희석하여 PCR과 Bioanalyzer로 확인한 결과 토끼는 0.005 ng, 고양이는 0.0005 ng이었다.

• 전자공학회논문지
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• 제52권3호
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• pp.190-195
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• 2015

돌연변이 및 유전병의 원인이 되고 있는 유전자 단일염기 다형성(single nucleotide polymorphisms; SNPs) 검출은 조기진단, 치료 및 제약등 바이오관련 분야에서 매우 중요하다. SNPs 검출을 위한 방법은 다양하게 제시되고 있으나 상보적 DNA와 SNPs의 에너지 차이가 미세하여 SNPs 검출에는 많은 어려움이 존재한다. 본 논문에서는 SNPs를 검출하기 위하여 전하 검출형 전계효과 트랜지스터(field-effect transistors; FETs)를 이용하여 DNA가 가지고 있는 음전하 측정 방법으로 SNPs를 검출하였다. 상보적 DNA와 SNPs의 미세한 에너지 차이를 구분하기 위하여 타게트 DNA hybridization공정에서 드레인-소스 전극에 -0.3 V의 음전압을 인가하였다. 음전압 인가에 따라 DNA 자체 음전하와 센서 표면의 음전압의 전기적 반발력에 의해 센서에 검출되는 타게트 DNA hybridization 신호 크기는 감소하였으나 상보적 DNA와 SNPs의 신호 차는 1.7 mV에서 8.7 mV로 5배 이상 증가하여 검출되었다.

• 산업경영시스템학회지
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• 제47권2호
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• pp.10-20
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• 2024

In recent automated manufacturing systems, compressed air-based pneumatic cylinders have been widely used for basic perpetration including picking up and moving a target object. They are relatively categorized as small machines, but many linear or rotary cylinders play an important role in discrete manufacturing systems. Therefore, sudden operation stop or interruption due to a fault occurrence in pneumatic cylinders leads to a decrease in repair costs and production and even threatens the safety of workers. In this regard, this study proposed a fault detection technique by developing a time-variant deep learning model from multivariate sensor data analysis for estimating a current health state as four levels. In addition, it aims to establish a real-time fault detection system that allows workers to immediately identify and manage the cylinder's status in either an actual shop floor or a remote management situation. To validate and verify the performance of the proposed system, we collected multivariate sensor signals from a rotary cylinder and it was successful in detecting the health state of the pneumatic cylinder with four severity levels. Furthermore, the optimal sensor location and signal type were analyzed through statistical inferences.

• 전자공학회논문지
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• 제52권12호
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• pp.174-182
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• 2015

본 연구에서는 저가형 컬러센서를 이용하여 원거리 인식이 가능한 소형 RGB 센서를 개발하였다. 이 센서의 수광부에는 원거리 인식을 위해 카메라 렌즈를 사용하였으며, 고출력 백색 LED와 반사경이 장착된 렌즈를 조명부에 사용하여 조명의 강도를 높였다. RGB 색상 인식 알고리즘은 학습과정과 실시간 인식과정으로 구성되어 있다. 학습과정에서는 기준색으로 도색된 시편을 이용하여 RGB 색상에 대한 정규화된 기준 데이터를 취득하고, 인식과정에서는 마할라노비스 거리를 이용하여 3색을 분류한다. 개발한 RGB 색상 인식 센서를 부품 분류 시제품에 적용하여 성능을 검증하였다.