• 플랜트 저널
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• 제6권1호
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• pp.64-70
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• 2010

From 2000, the world plant market, especially plant developing business related to oil and gas, has been increasing. Domestic construction companies advance to overseas plant construction market actively, and proportioning to this, an importance of utility construction is increasing. However, the project becomes large and high-tech, and many companies experience difficulty of project management due to relatively high risk of overseas construction. In this study, we built the standard process with which domestic company can evaluate the risk of overseas plant utility construction. Primary factors for risk evaluation is derived, classification system is made out, primary factor is analyzed, and counter plan is suggested. And thorough management of risk is performed by risk management organization that manages the risks, risk control methods, reports and monitors through risk sheet and risk action log from the start of project to the end.

• 약학회지
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• 제42권6호
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• pp.627-633
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• 1998

Impurity profiling analysis of methamphetamine seized in Korea was investigated for the evidential and intelligent purpose. Samples were extracted with ethylacetate which contai ns internal standard of dioctylsebacate under basic condition and extracts were analyzed by GC-FID. Ephedrine, chloroephedrine & 1,2-dimethyl-3-phenylaziridine were identified impurities in illicit methamphetamine by GC-MS. These impurities revealed that most of abused methamphetamine in Korea were synthesized from ephedrine as a starting material. For the classification of samples. firstly, 24 impurity peaks were selected after inspection of every peak in 50 samples as the specific markers of impurities. Secondly, corresponding peak retention time and area ratio to the internal standard were calculated and database was created with values of 24 peaks by in-house program. Finally, cluster analysis was attempted with the resultant profiles using the STAR plot, which was based on the Euclidian distance for evaluating similarity among samples. A total of 76 samples were divided into 8 different groups within 90% statistical similarity and inter-batch samples showed similar impurity patterns by this procedure. In conclusion, the analysis of impurities is a suitable index for estimation the common or different origin of methamphetamine sample.

• 한국인터넷방송통신학회논문지
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• 제15권6호
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• pp.209-215
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• 2015

반도체 관련 산업의 발전에 따라 반도체 제조공정에서 염산, 황산, 과산화수소, 불산, 피라니아 등과 같은 다양한 형태의 유독 가스와 화합물들이 사용되고 있고 누출 사고 역시 빈번하게 발생되고 있는 것이 사실이다. 유독 가스 누출사고 발생시 대량의 인명 피해가 발생되고 있는 것 역시 사실이다. 본 연구에서는 구미 불산 누출 사고와 같은 화학물질 누출 사고의 위험으로부터 인명을 보호하고 피해를 최소화 하기 위한 기본 해결책으로 대학에서의 MSDS 교육의 필요성에 대해 고찰하였다. 또한 GHS와 REACH 제도와 MSDS 이용의 적정성의 이해를 통해 유해 화학 물질의 노출로부터 안전을 지키는 문제에 대해 고찰하였다.

• 조명전기설비학회논문지
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• 제23권2호
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• pp.62-69
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• 2009

본 논문에서는 전력용 변압기의 고장진단을 위해 써포트 백터머신에 기반을 둔 고장진단 알고리즘을 제안한다. 제안된 기법은 데이터 취득부, 정상/고장판별부, 고장원인판별부로 구성된다. 제안한 고장진단과정을 보면, 데이터 취득부에서는 변압기에서 가스성분을 취득한다. 정상/고장 판별부에서는 취득된 가스성분들을 KEPCO 규정과 비교하여 정상/고장 여부를 판단한다. 고장원인 판별부에서는 입력 데이터가 고장으로 판정이 난 경우에 다중-클래스 써포트 백터머신에 의해 고장원인을 판정한다. 제안된 방법은 사례연구를 통해 우수성을 입증하였다.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2008년도 하계학술대회 논문집 Vol.9
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• pp.473-474
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• 2008

This paper proposes that the relative transmittance and emission intensity measured via optical emission spectroscopy (OES) is a useful for fault detection of reactive ion etch process. With the increased requests for non-invasive as well as real-time plasma process monitoring for fault detection and classification (FDC), OES is suggested as a useful diagnostic tool that satisfies both of the requirements. Relative optical transmittance and emission intensity of oxygen plasma acquired from various process conditions are directly compared with the process variables, such as RF power, oxygen flow and chamber pressure. The changes of RF power and Pressure are linearly proportional to the emission intensity while the change of gas flow can be detected with the relative transmittance.

• 대한안전경영과학회지
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• 제13권2호
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• pp.203-210
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• 2011

Incheon Port has been served as not only the center of the Yellow Sea and port for trade with China but also domestic gateway port for the metropolitan area, playing a professional role as the greatest domestic Port which processes a variety of items such as imported raw materials, bulk cargo, oil and gas and so on. This study was conducted based on step by step business process between port entry and departure of ship, and incurred cost according to port industry classification and performance on the port facility. Bulk cargo and general cargo such as grain, food, steel, scrap metal, wood, coal, LNG, LPG and oil etc., which have a vast majority of import goods, have been treated by 57,062 thousand tons and 7,409 thousand tons of container cargo were processed at Incheon Port in 2009. Bulk vessels and carriers moving items such as LPG, LNG and oil recorded 38,836 thousand won and full-container vessels recorded 11,001 thousand won as the amount of notified port facility usage fees in 2008.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2007년도 하계학술대회 논문집 Vol.8
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• pp.529-530
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• 2007

The paper considers the relation between on-line monitoring and diagnostics on the one hand and high-voltage (HV) withstand and partial discharge (PD) on-site testing on the other. HV testing supplies the basic data (fingerprints) for diagnostics. In case of warnings by on-line diagnostic systems, off-line withstand and PD testing delivers the best possible information about defects and enables the classification of the risk. Because alternating voltage (AC) is the most important test voltage, the AC generation on site is considered. Frequency tuned resonant (ACRF) test systems are best adapted to on-site conditions. They can be simply combined with PD measuring equipment. The available ACRF test systems and their application to electric power equipment -from cable systems to power transformers - is described.

• Transactions on Electrical and Electronic Materials
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• 제14권2호
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• pp.71-77
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• 2013

Advanced semiconductor manufacturing technology requires methods to maximize tool efficiency and improve product quality by reducing process variability. Real-time plasma process monitoring and diagnosis have become crucial for fault detection and classification (FDC) and advanced process control (APC). Additional sensors may increase the accuracy of detection of process anomalies, and optical monitoring methods are non-invasive. In this paper, we propose the use of a chromatic data acquisition system for real-time in-situ plasma process monitoring called the Plasma Eyes Chromatic System (PECS). The proposed system was initially tested in a six-inch research tool, and it was then further evaluated for its potential to detect process anomalies in an eight-inch production tool for etching blanket oxide films. Chromatic representation of the PECS output shows a clear correlation with small changes in process parameters, such as RF power, pressure, and gas flow. We also present how the PECS may be adapted as an in-situ plasma arc detector. The proposed system can provide useful indications of a faulty process in a timely and non-invasive manner for successful run-to-run (R2R) control and FDC.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 추계학술발표대회
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• pp.1023-1025
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• 2019

Coal and Natural gas are two biggest contributors to a generation of energy throughout the world. Most of these resources create environmental pollution while making energy affecting the natural habitat. Many approaches have been proposed as alternatives to these sources. One of the leading alternatives is Solar Energy which is usually harnessed using solar farms. In artificial intelligence, the most researched area in recent times is machine learning. With machine learning, many tasks which were previously thought to be only humanly doable are done by machine. Neural networks have two major subtypes i.e. Convolutional neural networks (CNN) which are used primarily for classification and Recurrent neural networks which are utilized for time-series predictions. In this paper, we predict energy generated by solar fields and optimal angles for solar panels in these farms for the upcoming seven days using environmental and historical data. We experiment with multiple configurations of RNN using Vanilla and LSTM (Long Short-Term Memory) RNN. We are able to achieve RSME of 0.20739 using LSTMs.

• 마이크로전자및패키징학회지
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• 제29권3호
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• pp.1-12
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• 2022

인공지능 기술의 급속한 발전으로 기존 센서에 인간의 지능과 유사한 기능을 부여하기 위한 연구가 큰 주목을 받고 있다. 기존에는 주로 센서로써의 기초 성능지표, 예를 들어 감도 및 속도 등을 향상시키기 위한 연구가 주로 진행되었지만, 최근에는 분류나 예측 등의 인공지능을 센서에 결합하기 위한 시도가 확대되고 있다. 이를 바탕으로 최근 질병 감지 센서, 모션 감지 센서 및 가스 센서 등 거의 센서 전 분야에서 지능형 센서에 대한 연구 결과가 활발히 보고되고 있다. 본 논문에서는 인공지능의 기본적인 개념, 종류 및 메커니즘과 더불어, 최근 보고된 지능형 센서에의 적용 사례에 대해 알아보고자 한다.