• Journal of The Korean Association For Science Education
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• v.35 no.3
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• pp.487-498
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• 2015

This research is for acquiring implications to science education based on learner's characteristics by analyzing the relationship between contents on science learning and cognitive domain of students in elementary schools through TIMSS 2011-based academic achievement test. Forty one multiple choice items from by TIMSS 2011 were used on 317 primary school students, fourth to sixth grade, and according to grade and achievement level of research targets, test results were analyzed. With these data, the relationship between contents on science learning and the score by cognitive domains, and through correlation by items, we drew static and negative correlations, and then compared the value. The result are as follows: First, other fields except for 'physical science' and 'inference' revealed meaningful differences by learners' grade, and the interrelationship between all contents domains and cognitive fields also appeared statically different. Second, both achievement level of contents and cognition of learners presented significant differences, but the correlation between scientific contents and cognitive field of learners showed different aspects. Third, in static and negative correlation by items, the complexity and their aspects could be classified by targets' academic achievement levels.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.5
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• pp.100-108
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• 2010

An autocorrelation method is used in pitch estimation. Autocorrelation values in time and frequency domains, which have different characteristics, correspond to the pitch period and fundamental frequency, respectively. We utilize an integrated autocorrelation method in time and frequency domains. It can remove the errors of pitch doubling and having. In the time and frequency domains, pitch period and fundamental frequency have reciprocal relation to each other. Especially, fundamental frequency estimation ends up as an error because of the resolution of FFT. To reduce these artifacts, interpolation methods are applied in the integrated autocorrelation domain, which decreases pitch errors. Moreover, only for the pitch candidates found in a time domain, the corresponding frequency-domain autocorrelation values are calculated with reduced computational complexity. Using linear interpolation, we can decrease the required number of FFT coefficients by 8 times. Thus, compared to the conventional methods, computational complexity can be reduced by 9.5 times.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.3C
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• pp.329-340
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• 2009

This paper proposes a novel code tracking scheme to track the fine code synchronization for BOC(pn,n) modulated spreading signals. The correlation function of BOC(pn,n) modulated spreading signals has been several peaks. In this paper, we observe that the correlation function in the advanced offset region remains almost unchanged, due to the multipath signals being received later than a line-of-sight signal. Based on this observation, we propose a novel code tracking scheme which is called the advanced region correlation (ARC) method for BOC(n,n) modulated spreading signals. And, we compare with the code tracking accuracy between the conventional and proposed methods in the static multipath and land mobile satellite system channels through the Monte-Carlo simulation. Then, base on the proposed scheme, we propose the generalized-ARC (ARC) scheme for BOC(pn, n) modulated spreading signals.

• Journal of the Institute of Convergence Signal Processing
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• v.13 no.3
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• pp.150-155
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• 2012

POC(Phase-Only Correlation) is a useful method that can conduct face recognition without using feature extraction or eigenface, but uses Fourier transformation for square areas. In this paper, we propose an effective face area to increase the performance of face recognition using POC. Specifically, three areas are experimented for POC. The frist area is the square area that includes head and space. The second area is the square area from ear to ear horizontally and from the end of chin to the forehead vertically. The third area is the square area from the line under the lips to the forehead vertically and from cheek to cheek horizontally. Experimental results show that the second face area has the best advantage among the three types of areas to define the threshold for POC.

• Journal of Korea Water Resources Association
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• v.46 no.8
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• pp.821-831
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• 2013

Recently image velocimetries, including particle image velocimetry (PIV) and surface image velocimetry (SIV), are often used to measure flow velocities in laboratories and rivers. The most difficult point in using image velocimetries may be how to determine the sizes of the interrogation areas and the measurement uncertainties. Especially, it is a little hard for unskilled users to use these instruments, since any standardized measuring techniques or measurement uncertainties are not well evaluated. Sometimes the user's skill and understanding on the instruments may make a wide gap between velocity measurement results. The present study aims to evaluate image velocimetry's uncertainties due to the changes in the sizes of interrogation areas and searching areas with the error analyses. For the purpose, we generated 12 series of artificial images with known velocity fields and various numbers and sizes of particles. The analysis results showed that the accuracy of velocity measurements of the image velocimetry was significantly affected by the change of the size of interrogation area. Generally speaking, the error was reduced as the size of interrogation areas became small. For the same sizes of interrogation areas, the larger particle sizes and the larger number of particles resulted smaller errors. Especially, the errors of the image velocimetries were more affected by the number of particles rather than the sizes of them. As the sizes of interrogation areas were increased, the differences between the maximum and the minimum errors seemed to be reduced. For the size of the interrogation area whose average errors were less than 5%, the differences between the maximum and the minimum errors seemed a little large. For the case, in other words, the uncertainty of the velocity measurements of the image velocimetry was large. In the viewpoint of the particle density, the size of the interrogation area was small for large particle density cases. For the cases of large number of particle and small particle density, however, the minimum size of interrogation area became smaller.

• Journal of the KSME
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• v.23 no.6
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• pp.419-426
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• 1983

본 고에서는 첫째, Pre-CHF영역에서의 열전달 및 비등급기에 여러 상관식이 제안되었으나 열수력현상의 복잡성 때문에 완전한 이론해는 구해져 있지 않다. 둘째, 각 상관식은 그 예측에 있어서 정량적으로 많은 차이가 있다. 셋째, 상관식의 적용범위가 한정되어 있기 때문에 사용 상관식의 선택을 조건에 따라 신중히 하여야 한다.

• Journal of the Korean Society for information Management
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• v.26 no.1
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• pp.147-161
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• 2009

The purpose of this study is to identify interdisciplinarity among eight research areas based upon the correlations between researchers' department affiliations and research areas. More specifically, eight research areas and their sub-areas, 153 sub-areas with researchers' department affiliations were analyzed in terms of Pearson correlation analyses. The findings demonstrated that there was interdisciplinarity between Social Science and Multiple Science Areas, Social Science and Medical & Pharmaceutical Area, Natural Science and Medical & Pharmaceutical Area, and Medical & Pharmaceutical Area and Agricultural Science.

• Proceedings of the IEEK Conference
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• 2007.07a
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• pp.71-72
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• 2007

대역 제한된 DS/SS 시스템의 상관 함수는 최고 값이 나타나는 시점과 함께 이른 또는 늦은 상관시간 옵셋 영역에서 극소 또는 극대로 나타나는 시점을 특징점으로 갖는다. 이 가운데 이른 상관시간옵셋 영역의 상관 함수는 다중경로 신호에 의해 덜 왜곡되기 때문에 이 영역의 상관 함수를 이용해 부호 동기를 추적하여 유지할 수 있다면 EL-DLL (delay lock loop with early minus late discriminator) 보다 추적편이를 줄일 수 있다. 본 논문에 이런 특성을 이용하는 추적편이 완화 기법을 제안하고, 모의실험을 통해 성능을 알아본다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.11a
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• pp.67-70
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• 2009

H.264/AVC 동영상 표준은 기존의 동영상 표준과 비교했을 때 뛰어난 압축률을 보인다. 특히 세밀한 움직임 예측을 통해 영상을 효율적으로 압축하지만 움직임 예측은 H.264/AVC 동영상 표준의 높은 복잡도의 원인 중 하나이다. 따라서 H.264/AVC의 부호화 시간을 단축하기 위해서는 고속 움직임 추정 기법이 필수적이다. 일반적으로 영상 신호는 인접한 화면과 매크로블록 사이에서 상관관계가 높고 부호화하고자 하는 매크로블록의 움직임벡터는 인접한 매크로블록에서 결정된 최적의 움직임 벡터와 유사한 방향성을 가진다. 그러므로 고정된 탐색 영역의 크기를 이용하면 불필요한 영역까지 움직임 예측 과정이 수행되어 계산량이 증가한다. 본 논문에서는 영상의 공간적, 시간적 상관도를 이용하여 탐색 영역의 크기를 결정하는 방법을 제안한다. 인접하는 블록들의 움직임 벡터의 표준편차를 이용하여 움직임이 작은 영역에서는 작은 탐색 영역을 이용하여 움직임 예측을 수행하고 반대로 움직임이 큰 영역에서는 큰 탐색 영역을 이용하여 움직임 예측을 수행한다. 또한 현재 화면과 참조 화면의 거리차가 클수록 참조 화면으로 선택되는 확률이 낮다는 사실을 이용하여 적응적으로 탐색 영역의 크기를 조절한다. 제안한 방법은 기존의 전 영역 탐색 방법과 유사한 부호화 성능을 보이면서 움직임 예측 시간이 평균 약 58.93% 감소하는 것을 확인할 수 있다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.43-45
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• 2012

본 논문은 목자판과 수면이 포함된 시차가 있는 연속적인 두 영상을 이용하여 수면위치를 탐색하는 방법과 그 적용성을 평가한 결과를 기술한다. 수위표 상단으로부터 특정 크기의 직사각형 검사영역을 설정하고 짧은 시차를 가진 두 영상의 동일한 위치의 검사영역에 대해 상관계수를 산정한다. 이렇게 함으로써 물의 흐름으로 픽셀 농도가 변화하는 수역과 픽셀 농도가 고정되어 있는 육역을 구분한다. 제안한 기법을 검증하기 위해 실험실에서 촬영한 사진을 분석하였다. 검사영역의 크기에 따라 상관계수 특성이 달라짐을 확인하였으며, 검사영역이 수위표 전체 폭에 걸쳐 있는 경우에 상관계수에 따른 수면특성이 뚜렷이 나타나 제안된 기법이 수면을 찾는데 활용될 수 있음을 확인하였다.