• Journal of the Institute of Convergence Signal Processing
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• v.16 no.4
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• pp.162-167
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• 2015

This paper describes the reason and the problem solving for the double-layer pattern of a Daejeon correlator operated in Korea-Japan Correlation Center. When the electric power of an input signal in the correlator is charged small enough to be buried in the noise, it is hard to see a signal with a specific pattern in the input signal, but when the electric power is large, a specific one is reported to be seen. By comparing data from observation with one from software correlator, it was confirmed from the analysis using the AIPS software that the amplitude gain of a source signal was affected about 3%. Therefore, in order to solve the problem of double-layer patterns, we found that a problem in the memory management module responsible for both the data input and the data serialization of the correlator is a cause for the double-layer pattern detected periodically. In other words, while data is serialized and read repeatedly in the memory area assigned to serialize the data from the serialization module, redundant last data is generated and an overlap for the memory allocation is occurred. Therefore, by modifying the program of the FPGA memory sections on serialization module to correct the problem, we confirmed that double-layer pattern is disappeared and correlation results are normally acquired.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.1
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• pp.53-61
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• 2010

In this paper, we present a color interpolation algorithm that uses novel edge direction estimator and region classifier. The proposed edge direction estimator accurately determines the edge direction based on the correlation between the images obtained by the channel separated and down-sampled Bayer color filter array(CFA) pattern. The correlation is defined based on the similarity between the edge direction in the local region of the image and the shifting direction of the images. Also, the region of an image is defined as the flat, the edge, and the pattern-edge regions, where the edges are appeared repeatedly. When all the pixels in the image are classified into the three different regions, each pixel is interpolated horizontally or vertically according to the estimated direction. Experimental results show that the proposed algorithm outperforms the conventional edge-directed methods on objective and subjective criteria.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.283-291
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• 2019

This study is a descriptive study to investigate the effects of ethical values on attitude toward patient safety of nursing students. The subjects were 179 senior nursing students in S city, and The data were collected from Aug. 21 to Sep. 15, 2017. The data collected were analyzed using SPSS Statistics version 24.0. Nursing students showed 3.74, moderate level in attitude toward patient safety. Subcategory area of ethical values as relationship with nursing client, nursing practices and relationship with collaborator were positively correlated but human-life area is negatively correlated with attitude toward patient safety. The variables that have a significant effect on the attitude toward patient safety were academic score, and major satisfaction of the general characteristics, and the sub - item of the ethical values, the client relationship area, the human - life area and the nursing practices area. These factors explained 38.6% of variance. These results should be considered in the development of education policy of nursing students and further study is needed to verify the effect of the results.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.12
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• pp.5797-5804
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• 2011

Recently, the medical education is undergoing system transition from a medical college to a medical graduate school and introduction of performance test in the doctor license state examination. Therefore, To deal with these challenges, it is needed that medical faculty prepare the education programs for considering student's personal characteristics and improving Clinical performance. So, The purpose of this study was to understand relation among Stress, ego-resilience, self-efficacy and Clinical performance in graduate medical student, and for this study, We conducted a survey of 97 medical graduate school students in D city during the period from August 19st to 20st. 2011. The study found a negative correlation between Stress and Ego-Resilience, a positive correlation of stress with confidence at low region in Self-Efficacy. Ego-Resilience correlates positively with CPX at low region in Clinical performance, Preference for difficulty level of the task at low region in Self-Efficacy correlates negatively with OSCE. OSCE and CPX at low region in Clinical performance are positively correlated. Therefore, Stress reduction of students can improve Self-Efficacy, Furthermore, improve ultimately Clinical performance. According to this study, To improve Clinical performance competence, student's personal characteristics should be considered and education programs for self-efficacy and ego-resilience advancement be reflected in curriculum.

• Journal of the Korean GEO-environmental Society
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• v.15 no.5
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• pp.31-37
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• 2014

In situ investigations and laboratory tests using elastic wave have become popular in geotechnical and geoenvironmental engineering. Propagation velocity of elastic wave is the key index to evaluate the ground characteristics. To evaluate this, various methods were used in both time domain and frequency domain. In time domain, the travel time can be found from the two points that have the same phase such as peaks or first rises. Cross-correlation can also be used in time domain by evaluating the time shift amount that makes the product of signals of input and received waveforms maximum. In frequency domain, wave propagation velocity can be evaluated by computing the phase differences between the source and received waves. In this study, wave propagation velocity evaluated by the methods listed above were compared. Bender element tests were conducted on the specimens cut from the undisturbed hand-cut block samples obtained from Block 37 excavation site in Chicago, IL, US. The evaluation methods in time domain provides relatively wide range of wave propagation velocities due to the noise in signals and the sampling frequency of data logger. Frequency domain approach provides relatively accurate wave propagation velocities and is irrelevant to the sampling frequency of data logger.

• The KIPS Transactions:PartB
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• v.12B no.2 s.98
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• pp.115-122
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• 2005

The sub-mage matching problem in which one image contains some part of the other image, has been mostly investigated on natural images. In this paper, we propose two sub-image matching techniques: mesh-based method and correlation-based method, that are efficiently used to match text images. Mesh-based method consists of two stages, box alignment and similarity measurement by extracting the mesh feature from the two images. Correlation-based method determines the similarity using the correlation of the two images based on FFT function. We have applied the two methods to the text verification in a postal automation system and observed that the accuracy of correlation-based method is $92.7\%$ while that of mesh-based method is $90.1\%$.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.07a
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• pp.522-523
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• 2015

본 논문에서는 FRUC(Frame Rate Up-Conversion)을 위한 효과적인 관심영역 분리 방법을 제안한다. 기존의 알고리듬은 움직임 벡터를 이용하여 관심영역을 지정하고 이를 기반으로 추가적인 재탐색이 요구되며 경우에 따라 잘못 예측된 움직임 벡터가 사용됨으로 인해 관심영역에 대한 신뢰성이 낮다. 본 논문에서는 이전과 다음 영상과의 시간적 연관성을 이용하여 이 두 영상간의 상관관계에 따라 효과적으로 신뢰영역 및 관심영역을 분리한다. 본 논문에서는 기존에 제안되었던 알고리듬으로 생성된 보조 영상과 원본 영상과의 차이에 대해 제안한 관심영역 분리 방법을 적용하여 그 결과를 비교하고, 성능 척도로서 객관적 화질을 비교한다. 실험 결과를 통해 기존에 제시된 다수의 알고리듬 보다 비교적 간단한 방법을 통해 효과적으로 관심 영역을 분리하고 또한, 성능이 크게 향상될 수 있음을 보인다.

• 한국정보교육학회:학술대회논문집
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• 2007.08a
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• pp.108-113
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• 2007

온라인 학습 환경을 효율적으로 구성하는 것은 학습자의 학습 성공을 촉진할 뿐만 아니라 학습과정의 이해에 절대적으로 필요한 일이다. 만일 학습자와 교수자가 효율적으로 교류하면 학습자가 느끼는 심리적 거리감은 상당히 최소화될 수 있을 것이다. 이 연구는 학습자들의 온라인 학습에서 교류적 거리의 구조 지각은 성별에 따라 달라지는가를 알아보고 온라인 환경에서의 수업만족도, 지속성, 학업성취도에 가장 큰 영향을 미치는 구조의 하위영역이 무엇인지를 밝혀 학습자들의 학습효과를 체계적으로 높일 수 있는 온라인 환경의 요소를 탐색하는데 있다. 설문을 통해 수집된 자료는 연구 목적에 따라 다양한 분석을 실시하였다. 이 연구 결과 학습자의 일반적 특성인 성별에 따른 교류적 거리의 구조 지각수준은 의의있는 차이가 없었다(p>.05). 교류적 거리의 구조 지각수준과 학습자가 지각하는 수업만족도간에 의의있는 상관이 있었으며, 학습자의 학습 지속성과도 통계적으로 의의있는 상관이 있는 것으로 나타났다. 그러나 학업성취도와 교류적 거리의 구조 지각수준 간에는 유의의한 차이가 발견되지 않았다(p>.05). 교류적 거리의 구조 하위영역 중 수업만족도에 대한 영향력이 큰 하위영역은 과정 상호 작용이며, 학습 지속성에 대한 영향력이 큰 하위영역은 내용 구성요인으로 나타났다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.7
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• pp.1513-1517
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• 2005

In this paper, I make use of a Multi-Channel skin color model with Hue, Cb, Cg using Red, Blue, Green channel altogether which remove bight component as being consider the characteristics of skin color to do modeling more effective to a facial skin color for extracting a facial area. 1 used efficient HOLA(Higher order local autocorrelation function) using 26 feature vectors to obtain both feature vectors of a facial area and the edge image extraction using Harr wavelet in image which split a facial area. Calculated feature vectors are used of date for the facial recognition through learning of neural network It demonstrate improvement in both the recognition rate and speed by proposed algorithm through simulation.

• Journal of KIISE:Software and Applications
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• v.37 no.12
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• pp.936-941
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• 2010

CMMI is composed of 22 process areas by 5 maturity levels and each process area consists of specific goals and generic goals. Since there are many relations among process areas, organizational standard processes tend to contain overlapped contents. In this paper we demonstrated that 60 out of 528 specific goals are highly related (11% relationship) in CMMI maturity level 3 process areas by using pearson correlation analysis and proposed to a scheme for defining organizational standard processes based on the results. As a result of defining organizational standard processes by using proposed a scheme, we achieved a significant improvement of 25% in process defining productivity.