• 융합정보논문지
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• 제9권5호
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• pp.125-129
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• 2019

본 논문은 위상코드 펄스압축(PCPC) 레이더의 재밍 효과에 대해서 기술하였다. 대표적인 PCPC 레이더인 Barker code 레이더는 송신 펄스를 13개 또는 31개의 작은 펄스로 분리하여 각 펄스신호를 위상변조하여 송신함으로써 레이더 탐지효율을 높이고 잡음이나 재밍에 대한 영향을 감소시킨다. 일반적으로 레이더는 재밍을 받으면 탐지거리는 짧아지고 탐지 에러율은 높아진다. PCPC 레이더에 잡음재밍이나 반송파 재밍을 실시한 경우에는 펄스코드 융합이 없어서 재밍 영향이 매우 작았지만, DRFM 등을 이용하여 펄스코드 신호를 복재하여 재밍신호로 사용한 동기재밍 경우에는 재밍효과가 크게 나타났다. 특히 펄스코드 신호 복재시간이 길어지면 재밍효과가 증가되는 것을 볼 수 있다. 본 연구는 펄스압축 레이더와 전자전 재밍장치 재밍신호 설계에 유용하게 활용할 수 있다고 판단된다.

• 항공우주시스템공학회지
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• 제17권6호
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• pp.100-107
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• 2023

영구자석 동기전동기의 권선 개방 고장은 권선이 끊어지거나 인버터 스위치의 고장으로 발생한다. 권선 개방 고장이 발생하면 전동기에 토크리플과 진동이 발생하게 되며, 영구자석 동기전동기를 작동기로 사용하는 항공기 등을 포함하는 운행체의 안전성에 치명적인 영향을 미치게 된다. 따라서 신속한 고장 검출 및 분류가 필수적이다. 본 논문에서는 영구자석 동기전동기의 권선 개방 고장의 검출과 고장 위치 파악을 위한 분류 기법을 제안한다. 제안된 기법은 확장칼만필터를 통해 고장을 검출 후 다중모델 필터를 통해 고장을 분류한다.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2000년도 전력전자학술대회 논문집
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• pp.697-700
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• 2000

This paper introduces a new rotor position estimation algorithm for the SRM based on the magnetizing curves of aligned and unaligned rotor positions. The flux linkage is calculated by the measured data from phase voltage and phase current and the calculated data are used as the input of magnetizing profiles for rotor position detection. Each of the magnetizing profiles consisted of the methods using the neural network and fuzzy algorithm And also the optima phase is selected by phase selector. To demonstrate the promise of this approach the proposed rotor position estimation algorithms are verified by the experiment results or variable spee range.

• Archives of Pharmacal Research
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• 제20권5호
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• pp.486-490
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• 1997

A stereospecific HPLC method has been developed for the resolution of the enantiomers of salbutamol in human urine. After solid-phase extraction and derivatization with (S)-(-)-${\alpha}$-methyl-benzyl isocyanate, the diastereomeric derivatives were resolved $(R_s=1.59)$ on $5{\mu}M$ octadecylsilan column using 47% methanol as a mobile phase with fluorescence detection. The detection limit of each enantiomer was 10 ng/ml (S/N=3).

• 한국안전학회지
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• 제30권1호
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• pp.28-33
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• 2015

Three phase heaters in 7 buildings of 2 sites were examined for precise diagnosis. The sample size was 626. Precise examinations of current and the heater wiring status revealed contact failures and arcs in equipments that had CUF larger than 10%. Contact failures and arcs may cause electrical fire. Therefore, the correlation between the CUF and the imperfections in heater equipment and its wiring was analyzed for three phase heaters. In addition, the protection devices used for detection of heater imperfections were found to be unsuitable for the purpose. Current status of the protection devices was analyzed, and suggestions for improvements were made for new standards of the protection device selection.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2003년도 추계학술대회
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• pp.57-72
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• 2003

This article provides integrated neural network models for the interest rate forecasting using change-point detection. The model is composed of three phases. The first phase is to detect successive structural changes in interest rate dataset. The second phase is to forecast change-point group with data mining classifiers. The final phase is to forecast the interest rate with BPN. Based on this structure, we propose three integrated neural network models in terms of data mining classifier: (1) multivariate discriminant analysis (MDA)-supported neural network model, (2) case based reasoning (CBR)-supported neural network model and (3) backpropagation neural networks (BPN)-supported neural network model. Subsequently, we compare these models with a neural network model alone and, in addition, determine which of three classifiers (MDA, CBR and BPN) can perform better. For interest rate forecasting, this study then examines the predictability of integrated neural network models to represent the structural change.

• Communications for Statistical Applications and Methods
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• 제8권2호
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• pp.543-556
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• 2001

This study suggests integrated neural network modes for he stock price index forecasting using change-point detection. The basic concept of this proposed model is to obtain significant intervals occurred by change points, identify them as change-point groups, and reflect them in stock price index forecasting. The model is composed of three phases. The first phase is to detect successive structural changes in stock price index dataset. The second phase is to forecast change-point group with various data mining classifiers. The final phase is to forecast the stock price index with backpropagation neural networks. The proposed model is applied to the stock price index forecasting. This study then examines the predictability of integrated neural network models and compares the performance of data mining classifiers.

• Journal of Communications and Networks
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• 제11권1호
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• pp.1-10
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• 2009

In this paper, we propose a chip-level detection and a spectral-slice scheme for the tunable-transmitter/fixed-receiver (TTFR)-based asynchronous spectral phase-encoded optical codedivision multiple-access (CDMA) system combined with timeencoding. The chip-level detection can enhance the tolerance of multiple access interference (MAI) because the channel collision does not occur as long as there is at least one weighted position without MAI. Moreover, the spectral-slice scheme can reduce the interference probability because the MAI with the different frequency has no adverse effects on the channel collision rate. As a result, these techniques mitigate channel collisions. We analyze the channel collision rate theoretically, and show that the proposed system can achieve a lower channel collision rate in comparison to both conventional systems with and without the time-encoding method.

• 대한전기학회논문지:전력기술부문A
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• 제49권8호
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• pp.390-398
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• 2000

Leakage impulse current of the contaminated insulators by using experiment data were studied. The impulse current in phase-time relationship was analyzed on line post insulators. Also, frequency components and crest factor of the leakage current were investigated to provide a scheme for an early detection of insulator incipient failure. The study shows that the phase-time characteristic is non-stationary and random and, non-harmonic component and crest factor can be promising parameters for detecting insulator leakage currents.

• Archives of Pharmacal Research
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• 제21권2호
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• pp.217-222
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• 1998

A stereospecific HPLC method has been developed for the resolution of the enantiomers of salbutamol in human urine. After solid-phase extraction and derivatization with 2,3,4,6-tetra-O-acetyl-$\beta$-D-glucopyranosyl isothiocyanate, the diastereomeric derivatives were resolved (Rs=1.83) on $5{\mu}m$ octadecylsilan column using 35% acetonitrile in 0.05M ammonium acetate buffer (pH=6) as a mobile phase with electrochemical detection. The diastereomeric derivatives were formed within 30 min. The detection limit of each enantiomer was 20 ng/ml (S/N=3).