• 통합자연과학논문집
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• 제13권4호
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• pp.147-151
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• 2020

In this paper, we propose a method to detect concept drift by applying Convolutional Neural Network (CNN) in a data stream environment. Since the conventional method compares only the final output value of the CNN and detects it as a concept drift if there is a difference, there is a problem in that the actual input value of the data stream reacts sensitively even if there is no significant difference and is incorrectly detected as a concept drift. Therefore, in this paper, in order to reduce such errors, not only the output value of CNN but also the probability vector are used. First, the data entered into the data stream is patterned to learn from the neural network model, and the difference between the output value and probability vector of the current data and the historical data of these learned neural network models is compared to detect the concept drift. The proposed method confirmed that only CNN output values could be used to reduce detection errors compared to how concept drift were detected.

• 한국자동차공학회논문집
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• 제22권3호
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• pp.114-122
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• 2014

Sensor fusion is the one of the main research topics. It offers the highly reliable estimation of vehicle movement by processing and mixing several sensor outputs. But unfortunately, every sensor has drift which degrades the performance of sensor. It means a single degraded sensor output may affect whole sensor fusion system. Drift in most research is ideally assumed to be zero because it's usually a nonlinear model and has sample variation. Plus, it's very difficult for the acceleration to separate drift from the output signal since it contains many contributors such as vehicle acceleration, slope angle, pitch angle, surface condition and so on. In this paper, modified spline interpolation is introduced as a dynamic temperature compensation method covering sample variation. Using the last known output and the first initial output is suggested to build and update compensation factor. When the system has more compensation data, the system will have better performance of compensated output because of the regression compensation model. The performance of the dynamic temperature compensation system is evaluated by measuring offset drift between with and without the compensation.

• 한국통신학회논문지
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• 제24권9B호
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• pp.1683-1689
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• 1999

VCO의 표류성분 제거기와 빗쌀 하모닉 발생기를 이용하여 주파수를 상향 변환하면서 동시에 주파수 대역폭을 확장하는 시스템을 구현하였다. 출력 주파수 범위가 220∼280MHz, 분해능이 5MHz인 저주파수 합성기의 출력을 1660∼2140MHz의 광대역 주파수로 확장한다. 최종출력의 위상 잡음 상태는 저주파수 합성기와 빗쌀 하모닉 발생기에 의해 결정되며 VCO의 표류성분은 최종 출력에 나타나지 않는다. 필터 뱅커처럼 VCO의 조절로 주파수가 60MHz의 단위로 가변되는데 이때의 가변시간은 3usec이하이며, 스퓨리어스는 -55dBc이하이다. VCO의 출력 주파수 범위를 확장하면 쉽게 출력 대역폭을 추가로 확장할 수 있으며, 빠른 스위칭 시간을 요구하는 광대역 초고주파 합성기에 응용될 수 있다.

• 한국태양에너지학회 논문집
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• 제30권1호
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• pp.7-12
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• 2010

As many grid-connected photovoltaic power conditioning systems (PVPCS)are installed in many residential areas simultaneously, these have raised potential problems of network protection on electrical power system. One of the numerous problems is an Islanding phenomenon. In this paper, active frequency drift (AFD) method, one of the anti-islanding methods which is analyzed by current magnitude compensation and calculation of the fundamental component. Both harmonic component and RMS value of the output current for THD analysis are provided and verified by simulation.

• 한국태양에너지학회 논문집
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• 제29권6호
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• pp.75-80
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• 2009

Recently, as the grid-connected photovoltaic power conditioning systems (PVPCS) are installed in many residential areas, these have raised potential problems of network protection on electrical power system. One of the numerous problems is an Islanding phenomenon. In this paper, active frequency drift (AFD) method, one of the anti-islanding methods which is analyzed by current magnitude compensation and calculation of RMS value of the output power is proposed and verified by simulation.

• 전력전자학회논문지
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• 제16권2호
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• pp.145-151
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• 2011

본 논문은 신 재생에너지원 중 태양광을 이용한 계통연계형 PV PCS의 단독운전 검출 성능을 극대화하고, 출력 전력의 품질 악화를 최소화 할 수 있는 개선된 능동 주파수 변이기법의 외란의 크기를 모델링, 시뮬레이션 및 실험을 통하여 검증하고, 이를 근거로 계통 보호 협조 및 안전을 위한 개선된 능동적 주파수 변이기법의 타당성을 검증하고자 한다.

• 한국자기학회지
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• 제15권6호
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• pp.332-335
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• 2005

자속계의 경우 입력전압을 적분하여야 되기 때문에 연산증폭기의 입력 바이어스 전류가 있으면 적분기의 출력이 드리프트하게 된다. 본 연구에서는 이 드리프트를 자동으로 측정하고 보상하기 위하여 전압변동이 없는 디지털 sample and hold증폭기를 자속계에 도입하여 제작하였다. 개발한 자속계의 경우 적분기의 시간상수 $RC=10^{-3}$ s에서 드리프트가 $5{\times}10^{-8}\;Wb/s$ 이하였다.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2001년도 하계학술대회 논문집
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• pp.985-988
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• 2001

A piezo-buzzer being used for the purpose of generation of audible frequency, which is a electric-acoustic transducer utilizing the inverse piezoelectric effect. Also it can be used for a pressure sensor according to the piezoelectric effect. But the output of a piezo-buzzer is a differential signal. In this study, we've made a system that can measure a real pressure by integration of output signal. According to our results, it could be found a possibility of application for pressure sensor by measurement of output characteristics when a piezo-buzzer was pressurized and depressurized, and by measuring of an error by means of the drift current of OP-Amp, etc..

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 합동 추계학술대회 논문집 정보 및 제어부문
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• pp.301-304
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• 2002

This paper has been studied an A/D conversion system for precision weighing signal process In weighing system. A/D conversion has some problem.; offset drift voltage with environment situation and nonzero value of initial output voltage. The Offset voltage in analog circuit produces a drift of an output voltage before A/D conversion stage. This paper suggested the method of reducing the offset voltage by switching analog chopping circuit and making the initial output close to zero to enhance the swing range by D/A converter. Also, we have designed active filter and digital filter with Auto Zero Tracking algorithm for better signal process of the weighing system.

• 한국전자통신학회논문지
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• 제17권5호
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• pp.927-932
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• 2022

측기의 드리프트는 시간의 경과, 환경변화, 마모, 충격, 진동, 전자기장 그리고 부적절한 사용 등에 의해 발생한다. 제한된 시험 기간에 출력값의 변화를 직접적으로 드리프트로 결정하는 것은 부적절하므로 측기 교정 방법에 시간에 따른 변화를 부여하여 제로 드리프트와 스팬 드리프트를 모두 반영하는 새로운 알고리즘을 제안하였다. 승온과 감온 과정의 아홉 단계 항온 환경에서 1분 간격으로 약 60분 동안 측정한 온도의 드리프트는 0.49%로 산출되었다.