• 한국IT서비스학회:학술대회논문집
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• 2006.11a
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• pp.517-522
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• 2006

본 논문은 RFID를 활용하여 자동차 제조 분야의 Traceability 구축 사례를 연구한 것이다. 전통적인 자동차 제조 환경 분석을 통하여 자동차 제조 분야의 Traceability 구축의 필요성과 RFID 기술의 적용 가능성을 분석하였다. RFID 기술을 활용한 통한 Traceability 구축을 위한 제조 및 공급망 관련 프로세스의 변경 내용 및 효과에 대하여 분석하였다. 실제 사례 기업은 Traceability 구축을 통하여 기존의 일 단위 결산 재고방식에서 실시간 재고방식으로 전환할 수 있게 되었으며, 상주원의 재고량 판단으로 부품 공급 시기와 양을 결정했던 방식에서 실시간 정보전달로 입고와 불출량 결정할 수 있게 되어 사내부품고의 최소 최적화가 가능하게 되었으며, 납입지시 신뢰도 향상 및 정보이용범위 확대(트래킹, 품질정보 등)를 통한 오보충 및 재고 진부화 방지 효과를 얻고 있다. 본 논문은 사례 기업의 Traceability 구축 과정에서 프로세스 변경, 관리 내용의 변경, RFID 기술의 적용 부분, 협력사와의 협업 등에 관련된 주요 이슈에 대하여 분석하여 향후 관련 분야의 Traceability 구축시 고려 요소 및 시사점을 제시하였다.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.8
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• pp.339-346
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• 2022

Recently, the resource depletion and climate change problem caused by the massive usage of fossil fuels for electric power generation has become a critical issue worldwide. According to this issue, interest in renewable energy resources that can replace fossil fuels is increasing. Especially, photovoltaic power has gaining much attention because there is no risk of resource exhaustion compared to other energy resources and there are low restrictions on installation of photovoltaic system. In order to use the power generated by the photovoltaic system efficiently, a more accurate photovoltaic power forecasting model is required. So far, even though many machine learning and deep learning-based photovoltaic power forecasting models have been proposed, they showed limited success in terms of interpretability. Deep learning-based forecasting models have the disadvantage of being difficult to explain how the forecasting results are derived. To solve this problem, many studies are being conducted on explainable artificial intelligence technique. The reliability of the model can be secured if it is possible to interpret how the model derives the results. Also, the model can be improved to increase the forecasting accuracy based on the analysis results. Therefore, in this paper, we propose an explainable photovoltaic power forecasting scheme based on BiLSTM (Bidirectional Long Short-Term Memory) and SHAP (SHapley Additive exPlanations).

• Korean Journal of Breeding Science
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• v.43 no.6
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• pp.587-590
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• 2011

A new sesame variety 'Yunheuk' was developed from Yeongnam Agricultural Research Institute in 2007. A cross was made by 'Yoosung' with weak disease resistance and 'Kunheuk' with high yield capacity & quality, followed by pedigree selection, yield test and regional yield trial (RYT) by the sesame breeding team at the National Institute of Crop Science and Yeongnam Agricultural Research Institute up to 2007. The variety showed higher lodging resistance and more dark seed coloring rather than that of check variety 'Yangheuk'. Average stem length and the number of capsules per plant is 118 cm, 79 cm respectively. Its 1,000 grains weight is about 2.67 g indicating 0.10 g lower than that of 'Yangheuk', and its oil content is about 46.4%. 'Yunheuk' also contains total 2.59 mg/g of such lignans as sesamin and sesamolin. And its dark color density ($L^*$ Value) of seed coat is 22.43 which was about 10% lower than that of check variety. The average yield of 'Yunheuk' was 99.9 kg per 10a at the national-wide regional performance.

• Applied Chemistry for Engineering
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• v.22 no.3
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• pp.235-242
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• 2011

This perspective describes recent advances made in the development of various electrochemical technologies to treat waste water containing organic pollutants, reducible/oxidizable and non-reducible/non-oxidizable anions and cations using redox reactions on the solid surface as well as at the interface between solid electrode and liquid electrolyte. Some of representative multiplexing and hybrid electrochemical treatment technologies are discussed, which have great advantages of high efficiency, stability and cost-effective instrumentation without the need of considering non-specific conditions such as high-temperature and high-pressure; however, choices and usages of electrode materials are absolutely critical issues.

• Journal of the Korea Computer Graphics Society
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• v.25 no.4
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• pp.9-16
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• 2019

In this paper, we propose a hydrodynamic scene separation method for wave propagation from video imagery using autoencoder. In the coastal area, image analysis methods such as particle tracking and optical flow with video imagery are usually applied to measure ocean waves owing to some difficulties of direct wave observation using sensors. However, external factors such as ambient light and weather conditions considerably hamper accurate wave analysis in coastal video imagery. The proposed method extracts hydrodynamic scenes by separating only the wave motions through minimizing the effect of ambient light during wave propagation. We have visually confirmed that the separation of hydrodynamic scenes is reasonably well extracted from the ambient light and backgrounds in the two videos datasets acquired from real beach and wave flume experiments. In addition, the latent representation of the original video imagery obtained through the latent representation learning by the variational autoencoder was dominantly determined by ambient light and backgrounds, while the hydrodynamic scenes of wave propagation independently expressed well regardless of the external factors.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.32 no.6
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• pp.458-461
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• 2019

The facile synthesis of shape-controlled Pd nanoparticles (PdNPs) with ascorbic acid as a reducing agent and cetyltrimethylammonium bromide (CTAB) as a capping agent is presented in this study. The synthesized PdNPs were characterized by UV-vis spectroscopy, transmission electron microscopy (TEM), scanning electron microscopy (SEM), X-ray diffraction (XRD), and Raman Spectroscopy. The prepared PdNPs show efficient surface-enhanced Raman scattering (SERS) properties. SERS studies on the adsorption characteristics of 1,4-phenylene diisocyanide (1,4-PDI) on colloidal PdNPs have revealed that the relative peak intensity of the $(NC)_{free}$ and $(NC)_{bound}$ modes distinctly depends on the 1,4-PDI concentration as well as the shape of the PdNPs. Furthermore, we found that the PdNPs are also efficient photoelectron emitters such that the SERS spectrum of 4-nitrobenzenethiol (4-NBT) on PdNPs is readily converted to that of 4-aminobenzenethiol (4-ABT) under 632.8 nm radiation.

• Korean Journal of Optics and Photonics
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• v.32 no.1
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• pp.1-8
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• 2021

We have studied a tiled-aperture coherent-beam-combining system based on constructive interference, as a way to overcome the power limitation of a single laser. A 1-watt-level, 3-channel coherent fiber laser and a 3-channel fiber array of triangular tiling with tip-tilt function were developed. A monitoring system, phase controller, and 3-channel phase modulator formed a closed-loop control system, and the SPGD algorithm was applied. Eventually, phase-locking with a rate of 5-67 kHz and peak-intensity efficiency comparable to the ideal case of 53.3% was successfully realized. We were able to develop the essential elements for a tiled-aperture coherent-beam-combining system that had the potential for highest output power without any beam-combining components, and a multichannel coherent-beam-combining system with higher output power and high speed is anticipated in the future.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.311-313
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• 2023

딥러닝에 대한 관심이 증가함에 따라 다양한 분야의 연구자 사이에 딥러닝 모델의 적용 및 재현이 중요한 작업으로 자리잡았다. 하지만 모델을 재현하고 활용하는데 있어 다양한 환경과 자원의 한계가 발생하여 문제가 되고 있다. 이러한 문제를 해결하기 위해 본 논문에서는 국가연구데이터커먼즈체계인 KRDC 프레임워크를 활용하여 딥러닝 학습 모델의 재현 방안을 제안하였다. 이를 통해 딥러닝 연구에 익숙하지 않은 사용자도 학습 모델의 적용 및 활용을 용이하게 할 수 있음을 확인하였다. KRDC 프레임워크는 사용자가 원하는 데이터와 태스크를 정의하고, 워크플로우로 구성, 학습 모델의 재현 및 활용을 지원한다.

• Journal of the Korea Computer Industry Society
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• v.2 no.4
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• pp.565-572
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• 2001

At the most recent years, laser medical instruments, laser applications and laser nuclear fusion need strong visible light and ultraviolet rays. Nonlinear optical devices, such as harmonic generators and parametric oscillators, provide a means of extending the frequency range of available laser sources. Frequency conversion is a useful technique for extending the utility of high-power lasers. It utilizes the nonlinear optical response of an optical medium in intense radiation fields to generate new frequencies. These progresses have been used to generate high-power radiation in all spectral regions, from the ultraviolet to the far infrared. Optical parametric oscillators and amplifiers generate two waves of lower frequency They are capable of generating a range of wavelengths from a single frequency source, in some cases spanning the entire visible and near infrared regions. Consequently, in order to obtain the green light, the pulsed Nd:YAG laser using multiple-mesh PFN(Pulsed Forming Network) method with Nonlinear optical device was adopted. We compared the current pulseshapes with the laser output energy, and conversion efficiency.

• Proceedings of the Korean Vacuum Society Conference
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• 2010.02a
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• pp.272-272
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• 2010

최근 화합물반도체를 이용한 집광형 고효율 태양전지가 차세대 태양전지로서 주목을 받기 시작하였다. GaAs를 주축으로 하는 고신뢰성 고효율 태양전지는 높은 가격으로 인해 응용이 제한되어왔으나, 고집광 기술을 접목하여 태양전지 재료 사용을 수 백배 이상 줄이면서도 동시에 효율을 극도로 향상시킴으로써 차세대 태양전지로 활발히 개발되고 있다. GaAs 기판을 이용한 다중접합의 태양전지는 n-type GaAs 기판 위에 버퍼 층, GaInP back surface field 층, GaAs p-n 접합, AlInP 창층, GaAs p-n 접합의 터널접합층, 상부전지로서 GaInP p-n 접합, AlInP 창층 순서로 epi-taxial structure를 형성하고 전극과 무반사막을 구성한다. 이러한 태양전지의 효율을 결정하는 요인 중, 상부 전극은 전기적 및 광학적 손실을 일으키는 원인으로써 최소화되어야 한다. 그런데 이러한 이중접합 화합물 태양전지에 집광한 태양광을 조사할 경우, 태양광을 집광한 만큼 전류가 증가하게 되며 증가한 전류가 전극에 흐르면서 전기적 효율 손실을 유발하게 된다. 따라서, 집광형 화합물 반도체 태양전지의 전극에 의한 손실에 대한 연구가 선행되어 저항에서 손실되는 전력을 최소화하여야만 전기적 손실이 낮은 고집광 태양전지 개발이 가능하다. 본 논문에서는 먼저 전극 두께가 0.5${\mu}m$인 GaInP/GaAs 이중접합 태양전지 (효율 25.5% : AM1.5G)의 집광시 효율 변화에 대해서 연구하였다. 이후 이러한 효율 변화가 전극 구조의 최적화에 의해서 개선 될 수 있는지를 삼차원 모의실험을 통해서 확인하였다. 모의실험에는 Crosslight 사의 APSYS를 사용하였고, material parameter를 보정하여 실제 실험 결과에 근사 시킨 후 전극 구조에 대한 최적화를 하였다.