• 동력기계공학회지
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• 제13권5호
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• pp.59-66
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• 2009

High temperature and pressure valves in power plant have been used for fluid flowing and leakage occurred owing to valve internal damage such as disc wear, crack and inserting of foreign objects etc. in these valves. Recently, multi-measuring technique applied both ultrasonic and acoustic method have been used for evaluation of valve internal leakage in order to raise measurement reliability. Therefore, we have performed various leakage tests using ultrasonic and acoustic measuring system and acquired leakage data for the various leakage conditions. In this study, we developed the estimation method of regression model through leakage data, and expectation method for valve opening ratio, which is directly proportion to leakage rate, using the established estimation model from the measured data, valve size and fluid pressure so as to enhance data reliability. As a result of this study, it was founded that expectation method of leakage rate by statistical analysis method is appropriate to valve leakage evaluation.

• 한국정밀공학회지
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• 제33권9호
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• pp.715-721
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• 2016

In this paper, the classification rate of micro-cracks in silicon wafers was improved using a SVM. In case I, we investigated how feature data of micro-cracks and SVM parameters affect a classification rate. As a result, weighting vector and bias did not affect the classification rate, which was improved in case of high cost and sigmoid kernel function. Case II was performed using a more high quality image than that in case I. It was identified that learning data and input data had a large effect on the classification rate. Finally, images from cases I and II and another illumination system were used in case III. In spite of different condition images, good classification rates was achieved. Critical points for micro-crack classification improvement are SVM parameters, kernel function, clustered feature data, and experimental conditions. In the future, excellent results could be obtained through SVM parameter tuning and clustered feature data.

• Journal of the Optical Society of Korea
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• 제17권6호
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• pp.513-517
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• 2013

Recently, maskless lithography (ML) systems have become popular in digital manufacturing technologies. To achieve high-throughput manufacturing processes, digital micromirror devices (DMD) in ML systems must be driven to their operational limits, often in harsh conditions. We propose an instrument and algorithm to detect DMD malfunctions to ensure perfect mask image transfer to the photoresist in ML systems. DMD malfunctions are caused by either bad DMD pixels or data transfer errors. We detect bad DMD pixels with $20{\times}20$ pixel by white and black image tests. To analyze data transfer errors at high frame rates, we monitor changes in the frame rate of a target DMD pixel driven by the input data with a set frame rate of up to 28000 frames per second (fps). For our data transfer error detection method, we verified that there are no data transfer errors in the test by confirming the agreement between the input frame rate and the output frame rate within the measurement accuracy of 1 fps.

• 한국통신학회논문지
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• 제24권6A호
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• pp.820-831
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• 1999

본 논문에서는 음성 및 데이터서비스를 위한 무선접속시스템에서 D-TDMA(Dynamic-Time Division Multiple Access)와 CDMA(Code Division Multiple Access) 프로토콜의 성능을 비교 분석하였다. D-TDMA 프로토콜에서 음성서비스는‘circuit mode’로 채널 사용 우선권을 부여하고 데이터서비스는 FCFS(First Come First Service) 형태의 동적 채널 할당 방식을 사용하였다. CDMA 프로토콜에서는 내부 셀과 외부 셀에 존재하는 다른 이동가입자들의 간섭잡음을 줄이기 위하여 음성검출 기법을 사용하고, 이 경우의 간선잡음전력을 분석하였다. 또한, 이 간섭잡음전력을 이용하여 실제 데이터의 BER(Bit Error Rate)를 구하고, 평균 데이터 길이와 평균 데이터 발생률의 변화에 따른 음성차단확률(음성패킷손실확률) 및 데이터전송 지연시간을 비교 분석하였다. 분석결과에 따르면 평균 데이터 길이가 짧을 경우, 데이터 발생률의 증감에 독립적으로 CDMA 프로토콜이 상대적으로 우수한 성능을 보였다. 그러나, 평균 데이터 길이가 길어질수록 데이터 전송 지연시간이 큰 폭으로 증가하는 CDMA 프로토콜보다 D-TDMA 프로토콜이 더 우수한 성능을 보였다.

• 한국정보전자통신기술학회논문지
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• 제11권5호
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• pp.593-600
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• 2018

인터넷과 스마트기기의 발달로 인해 소셜미디어 등 다양한 미디어의 접근의 용이해짐에 따라 많은 양의 빅데이터들이 생성되고 있다. 특히 다양한 인터넷 서비스를 제공하는 기업들은 고객 성향 및 패턴, 보안성 강화를 위해 맵리듀스 기반 빅데이터 분석 기법들을 활용하여 빅데이터 분석하고 있다. 그러나 맵리듀스는 리듀스 단계에서 생성되는 리듀서 객체의 수를 한 개로 정의하고 있어, 빅데이터 분석할 때 처리될 많은 데이터들이 하나의 리듀서 객체에 집중된다. 이로 인해 리듀서 객체는 병목현상이 발생으로 빅데이터 분석 처리율이 감소한다. 이에 본 논문에서는 로그 분석처리율 향상을 위한 맵리듀스 기반 분할 빅데이터 분석 기법을 제안한다. 제안한 기법은 리듀서 분할 단계와 분석 결과병합 단계로 구분하며 리듀서 객체의 수를 유동적으로 생성하여 병목현상을 감소시켜 빅데이터 처리율을 향상시킨다.

• 한국정보전자통신기술학회논문지
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• 제11권6호
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• pp.638-644
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• 2018

최근 5G에 기술에서는 신호 감쇄와 신호 도달 거리 확장을 위해 사용될 수 있는 릴레이(Relay)를 통한 통신 기술이 주목 받고 있다. 릴레이는 소형 기지국으로 사용이 가능하며, 셀룰러 망으로 지원하기 어려운 환경하에서 통신 기기들이 협력하여 통신하는 자율 네트워크 기법에 사용이 가능하기 때문에, 저전력화와 무선 용량 증대에 활용이 가능할 것으로 기대되고 있다. 한정된 릴레이 자원을 활용하여 최적의 성능을 달성하기 위해서는 효과적인 릴레이 선택 기법이 필요하다. 특히, 두 개의 노드가 릴레이를 통해 메시지를 교환하는 경우, 릴레이 선택 방법에 따라서, 릴레이의 공간적 위치를 활용하여 간섭을 줄이고, 시스템 전송률을 최대화 할 수 있다. 이를 위해서는 릴레이 선택에 따른 평균 데이터 전송률에 대한 분석이 선행되어야 한다. 본 논문은 두 노드가 릴레이를 이용하여 동시 전송을 통해 메시지를 교환할 경우, 평균 데이터 전송률을 분석한다. 이를 위해 Nakagami-m 페이딩 채널 환경하에서 복호 후 전송(Decode and Forward) 방식으로 동작하는 이중홉(dual-hop) 릴레이의 동시 전송으로 인한 간섭을 고려하여 전체 데이터 전송률을 유도한다. 분석식은 m=1인 Rayleigh 페이딩 채널을 포함하여 다양한 Nakagami-m 페이딩 채널에 대한 전체 데이터 전송률을 보여준다. 유도된 분석은 몬테카를로 모의실험을 통해 정확성을 입증하였으며, 요구되는 데이터 전송률이 높을수록, 자원 효율적인 동시 전송 방식이 전체 시스템의 성능을 향상시킬 수 있음을 확인하였다.

• Journal of electromagnetic engineering and science
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• 제8권2호
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• pp.84-89
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• 2008

In a wireless channel above microwave frequency, rain attenuation is very important. In order to predict rain attenuation, 1-min. rain rate distribution is required. This paper discusses appropriate conversion methods to estimate 1-minute rain rate from that of other integration time. Based on the measurement data filed in ITU-R WP3J including ETRI data for 6 consecutive years, distributions of rain rate with 1-, 5-, 10-, 20-, 30-minute integration time were analyzed, both on the global and regional basis, and the parametric relationship between the statistical characteristics of 1-minute and other measurement data were investigated to deduce the conversion methods. It is shown that the global model works good with good accuracy for 5-, 10-, 20-min integration time, and the global model is also applicable globally with good accuracy for 5-, 10-, 20-min integration time. The global conversion model was adopted last year as an ITU-R document for new recommendation. The regional conversion model would also be very useful for locations of similar climatic zone.

• Corrosion Science and Technology
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• 제11권4호
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• pp.135-140
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• 2012

The linear polarization resistance method is one of the widely used techniques for the corrosion rate monitoring in the water circulating systems of plants. The measurement is simple and rapid, so that a continuous on-line monitoring is possible without any shutdown of plants. A 2-electrode polarization corrosion rate measurement system was installed in a laboratory using a data acquisition board and PC. The signal processing parameters were optimized for the accurate corrosion rate measurement, and the polarization resistance was compensated with the solution resistance measured by the high frequency sine wave signal of an output channel. The precision of corrosion rate data was greatly improved by removing the initial noise signals on measuring the polarization resistance.

• 대한전기학회논문지:전력기술부문A
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• 제54권11호
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• pp.548-556
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• 2005

Reliability evaluation of power distribution system is very important to both power utilities and customers. It present the probabilistic number and duration of interruption such as failure rate, SATDI, SAIFI, and CAIDI. However, it has a fatal weakness at reliability index because of accuracy of failure rate. In this paper, the Time-varying Failure Rate(TFR) of power distribution system equipment is extracted from the recorded failure data of KEPCO(Korea Electric Power Corporation) in Korea. For TFR extraction, it is used that the fault data accumulated by KEPCO during 10 years. The TFR is approximated to bathtub curve using the exponential(random failure) and Weibull(aging failure) distribution function. In addition, Kaplan-Meier estimation is applied to TFR extraction because of incomplete failure data of KEPCO. Finally, Probability plot and regression analysis is applied. It is presented that the extracted TFR is more effective and useful than Mean Failure Rate(MfR) through the comparison between TFR and MFR

• Communications for Statistical Applications and Methods
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• 제28권5호
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• pp.447-462
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• 2021

In insurance, the surrender rate is an important variable that threatens the sustainability of insurers and determines the profitability of the contract. Unlike other actuarial assumptions that determine the cash flow of an insurance contract, however, it is characterized by endogenous variables such as people's economic, social, and subjective decisions. Therefore, a microscopic approach is required to identify and analyze the factors that determine the lapse rate. Specifically, micro-level characteristics including the individual, demographic, microeconomic, and household characteristics of policyholders are necessary for the analysis. In this study, we select panel survey data of Korean Retirement Income Study (KReIS) with many diverse dimensions to determine which variables have a decisive effect on the lapse and apply the lasso regularized regression model to analyze it empirically. As the data contain many missing values, they are imputed using the random forest method. Among the household variables, we find that the non-existence of old dependents, the existence of young dependents, and employed family members increase the surrender rate. Among the individual variables, divorce, non-urban residential areas, apartment type of housing, non-ownership of homes, and bad relationship with siblings increase the lapse rate. Finally, among the financial variables, low income, low expenditure, the existence of children that incur child care expenditure, not expecting to bequest from spouse, not holding public health insurance, and expecting to benefit from a retirement pension increase the lapse rate. Some of these findings are consistent with those in the literature.