• Journal of Biosystems Engineering
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• 제22권3호
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• pp.269-278
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• 1997

An automatic level measurement system was developed to level the land fer direct seeding of rice. A laser transmitter/receiver set was used to measure land-level. The inclination error occurred in level measurement on irregular land surface could be compensated by attaching rotating mass. The level measuring experiments were performed on three kinds of different shapes(step, random, sine). This system could accurately measure step level of which amplitude was 40mm in 0.5s, random level change within $\pm$ 5mm maximum measurement error, and sine level change of which spatial frequency was 0.5m-1. To verify performance of the inclination error compensation system, frequency transfer function(acceleration input vs. inclination error) was computed by spectral analysis. The inclination error was decreased about 20㏈ by error compensation system.

• 제어로봇시스템학회논문지
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• 제12권6호
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• pp.608-613
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• 2006

Any input acceleration that bends RLG dithering axis causes flexure error, which is a source of the noncommutative error that can not be compensated by simply using integrated gyro sensor output. This paper introduces noncommutative error equations that define attitude errors caused by flexure errors. In this paper, flexure error is classified as sensor level error if the sensing axis coincides with the dithering axis and as system level error if the two axes do not coincide. The relationship between gyro output and the rotation vector is introduced and is used to define the coordinate transformation matrix and angular motion. Equations are derived for both sensor level and system level flexure error analysis. These equations show that RLG based INS attitude error caused by flexure is directly proportional to time, amount of input acceleration and the dynamic frequency of the vehicle.

• International Journal of Contents
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• 제13권4호
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• pp.23-28
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• 2017

Of the total economic loss caused by disasters, 40% are due to floods and floods have a severe impact on human health and life. So, it is important to monitor the water level of a river and to issue a flood warning during unfavorable circumstances. In this paper, we propose a modified error function to improve a hydrological modeling using a multi-layer perceptron (MLP) neural network. When MLP's are trained to minimize the conventional mean-squared error function, the prediction performance is poor because MLP's are highly tunned to training data. Our goal is achieved by preventing overspecialization to training data, which is the main reason for performance degradation for rare or test data. Based on the modified error function, an MLP is trained to predict the water level with rainfall data at upper reaches. Through simulations to predict the water level of Nakdong River near a UNESCO World Heritage Site "Hahoe Village," we verified that the prediction performance of MLP with the modified error function is superior to that with the conventional mean-squared error function, especially maximum error of 40.85cm vs. 55.51cm.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.1958-1961
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• 2004

Ring Laser Gyroscopes used as navigational sensors inherently experience a lock-in region, where very low rotational rates are not measurable. Most RLG manufacturers use a mechanical dither motor that applies a small oscillatory rotational motion larger than this region to resolve this problem. Any input acceleration that bends this dithering axis causes flexure error, which is a noncommutative error that can not be compensated by simply using integrated gyro sensor output. This paper introduces noncommutative error equations that define attitude errors caused by flexure errors. In this paper, flexure error is classified as sensor level error if the sensing axis coincides with the dithering axis and as system level error if the two axes do not coincide. The relationship between gyro output and the rotation vector is introduced and is used to define the coordinate transformation matrix and angular motion. Equations are derived for both sensor level and system level flexure error analysis. These equations show that RLG based INS attitude error caused by flexure is directly proportional to time, amount of input acceleration and the dynamic frequency of the vehicle.

• 한국초등수학교육학회지
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• 제21권1호
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• pp.23-47
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• 2017

본 연구에서 초등학교에서 분수에 대한 사칙연산의 학습을 마친 시점에 있는 6학년 학생들을 대상으로 학업성취수준에 따라 분수의 사칙연산 과정에서 발생하는 오류는 어떤 것들이 있는지 분수의 사칙연산 유형별로 오답률을 분석하였고, 학업성취수준에 따라 각각의 분수의 오류유형에는 어떤 차이가 있는지 알아보았다. 분수의 사칙연산에서 진분수 사이의 계산보다는 대분수가 같이 있는 계산에서 가장 높은 오답률을 보이고 있다. 특히 동분모 분수의 계산보다는 이분모 분수에서의 계산에서 높은 오답률을 보이고 있는데 학생들이 이분모 분수에서 통분을 하는 것을 어려워하는 것으로 나타났다. 분수의 곱셈에서는 상 수준과 중 수준의 학생들은 계산오류에서 가장 높은 오답률을 보이고 있으며, 하수준의 학생들은 역수오류가 가장 높은 오답률을 보이고 있다.

• 컴퓨터교육학회논문지
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• 제17권5호
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• pp.43-51
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• 2014

본 연구는 중 고등학생들의 온라인 프로그래밍 과제 수행결과에서 발생한 오류를 파악하여, 오류유형과 오류내용을 분류하고, 프로그래밍 개념학습 성취수준에 따른 오류 빈도의 차이와 성취수준과 오류유형과의 상관관계를 분석하여 향후 프로그래밍 교육에 대한 방향과 인지수준에 따른 교육방법을 제시하였다. 연구를 위해 88명의 학생들의 프로그래밍 과제 수행 결과를 가지고 문법오류, 논리오류, 코딩오류로 오류유형과 오류내용을 분류하고 분석하였다. 분석결과, 세 오류유형 중 논리오류의 발생비율이 69.3%로 가장 높았으며, 성취수준에 따른 오류 빈도의 차이에서는 성취수준 상, 중, 하 세 집단 간에 유의한 차이가 있었다. 성취수준과 오류유형과의 상관관계 분석 결과에서는 논리오류와 코딩오류에서 부적 상관관계를 보여, 성취수준이 높을수록 논리오류와 코딩오류를 적게 범함을 알 수 있었다. 오류유형간의 상관관계에서는 문법오류와 코딩오류간의 정적상관관계를 보였다.

• 한국측량학회지
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• 제26권1호
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• pp.17-26
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• 2008

우리나라 1등 수준망은 1974년부터 1986년간 관측된 자료를 1987년 동시 조정된 바 있다. 이후, 국토지리정보원에서는 2001년부터 2006년까지 전자레벨과 바코드 함척을 이용하여 1등 수준망에 대한 직접수준측량 실시하였고, 본 연구는 이들 관측자료 분석 및 수준망 조정 결과이다. 우리나라 1등 수준망은 총 36개 노선으로 구성되어 있는데, 그 중 34노선이 11개 폐합 환을 구성한다. 1등 수준측량 관측자료 중 4개 노선은 1등 수준측량 허용 왕복차를 초과하였으며, 3개 수준환은 허용 환 폐합차를 초과하였다. 수준점간 왕복차의 표준오차(${\eta}_1$)는 $0.2{\sim}1.7mm/{\surd}km$, 환 폐합차의 표준오차(${\eta}_2$)는 $2.0mm/{\surd}km$로 IGA의 고정밀 수준측량기준을 충족하였다. 1등 수준망은 1점(수준원점) 고정방식에 의한 망조정이 수행되었으며, 기준 표준오차($\hat{{\sigma}_0}$)는 $1.8mm/{\surd}km$로, 1987년 1등 수준망 조정의 기준 표준오차($\hat{{\sigma}_0}$)보다 2배 향상된 결과이다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1995년도 추계학술대회 논문집
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• pp.803-806
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• 1995

The vibration and nosic of gears is causeed by manufacting error,alignment error in assembly, and thr meshing stiffness of gears which changes periodically as the meshing of teeth process. On a pair of power transmission helical gears with profile error, the relation between the characteristics of gear vibration and the profile error type have been investigated by simulating the vibrational acceleration level and calculating the natural frequency. The results show that the profile error decrease the natural frequency by reducing the tool stiffness and that the concave error type increase the vibrationsl level. And this paper describes the effect of the tip relief on the vibrational acceleration level which a pair of helical gears with concave error generates.

• 영어어문교육
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• 제13권4호
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• pp.109-126
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• 2007

English article has been considered as one of the most difficult areas to learn among ESL/EFL students. The current paper reviews English learners' article error patterns as well as pedagogy in order to teach English articles and to minimize learning difficulties on English articles. Different pedagogy for English articles on the basis of learners' proficiency levels are suggested as each proficiency level student shows a different error tendency; beginning level language learners used the zero article with the most facility while intermediate level language learners used the definite article the most accurately. However, studies about high advanced level learners' error patterns present that these high accuracy rates among beginning level students might be a result of students' plain guessing. Considering these error patterns, pedagogy for advanced level is also suggested.

• 전자공학회논문지B
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• 제28B권5호
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• pp.318-326
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• 1991

A Quantizer reconstruction level control method for block artifact reduction in DCT image coding is described. In our scheme, quantizer reconstruction level control is obtained by adding quantization level step size to the optimum quantization level in the direction of reducing the block artifact by minimizing the mean square error(MSE) and error difference(EDF) distribution in boundary without the other additional bits. In simulation results, although the performance in terms of signal to noise ratio is degraded by a little amount, mean square of error difference at block boundary and mean square error having relation block artifact is greatly reduced. Subjective image qualities are improved compared with other block artifact reduction method such as postprocessing by filtering and trasform coding by block overlapping. But the addition calculations of 1-dimensional DCT become to be more necessary to coding process for determining the reconstruction level.