• Proceedings of the Korean Nuclear Society Conference
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• 1997.05b
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• pp.495-502
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• 1997

변위형 유한요소해에 기초하고 공액근사개념 및 Loubignac의 변위장 개선방법을 국부영역에 적용하여 국부영역에서의 응력장의 정확도를 향상시킬 수 있는 방법을 제안하였다. 제안된 방법에서 계산된 국부영역의 응력장은 전체영역에 대한 응력장 개선 결과에 근접하며 유한요소 평형방정식을 잘 만족하친 있을 뿐만 아니라 수회 이내의 반복계산내에 수렴하고 있어서 계산시간이 크게 줄어들 수 있어서 국부영역에 대한 상세응력해석에 적절하게 이용될 수 있다.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.46 no.12
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• pp.102-107
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• 2009

As technology gets developed, medical equipments are also modernized and leading-edge systems, such as PACS become popular. Many scientists noticed importance of medical image processing technology. Technique of region segmentation is the first step of digital medical image processing. Segmentation technique helps doctors to find out abnormal symptoms early, such as tumors, edema, and necrotic tissue, and helps to diagnoses correctly. Segmentation of white matter, gray matter and CSF of a brain image is very crucial part. However, the segmentation is not easy due to ambiguous boundaries and inhomogeneous physical characteristics. The rate of incorrect segmentation is high because of these difficulties. Fuzzy-based segmentation algorithms are robust to even ambiguous boundaries. In this paper a modified Fuzzy-based segmentation algorithm is proposed to handle the noise of MR scanners. A proposed algorithm requires minimal computations of mean and variance of neighbor pixels to adjust a new neighbor list. With the addition of minimal compuation, the modified FCM(mFCM) lowers the rate of incorrect clustering below 30% approximately compared the traditional FCM.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.7
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• pp.520-523
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• 2009

There are many ways to judge whether the input image is adult-image or not. Until now, adult image detection has been examined by the ratio of skin area in full image. In this paper, we propose a method to extract skin region in YCbCr. Skin region shows unique distribution in YCbCr, and we will separate the skin region from background using the distribution. First, we are going to find Eye zone using Eye-Map. Then we will find out the color value for the distribution of skin region using the color of Eye zone. Next, we will find the distribution of the area through the skin region in full-image.

• The Journal of the Acoustical Society of Korea
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• v.41 no.1
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• pp.38-44
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• 2022

Speech enhancement is performed to improve intelligibility and quality of the noise-corrupted speech. In this paper, speech enhancement performance was compared using different loss functions in time and frequency domains. This study proposes a combination of loss functions to utilize advantage of each domain by considering both the details of spectrum and the speech waveform. In our study, Scale Invariant-Source to Noise Ratio (SI-SNR) is used for the time domain loss function, and Mean Squared Error (MSE) is used for the frequency domain, which is calculated over the complex-valued spectrum and magnitude spectrum. The phase loss is obtained using the sin function. Speech enhancement result is evaluated using Source-to-Distortion Ratio (SDR), Perceptual Evaluation of Speech Quality (PESQ), and Short-Time Objective Intelligibility (STOI). In order to confirm the result of speech enhancement, resulting spectrograms are also compared. The experimental results over the TIMIT database show the highest performance when using combination of SI-SNR and magnitude loss functions.

• Journal of the Korean Society for information Management
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• v.23 no.2
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• pp.21-37
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• 2006

Based upon the assumption that both theory building and theory use are intertwined to construct a cohesive body of knowledge in the filed, this study attempts to identify the state of theoretical framework by examining the number and the quality of theoretical articles by subfield. Theoretical article is characterized as an incident in which in which the author contributes to the development or the use of theory in his/her own paper. Theoretical incidents were identified by a content analysis of 1,661 articles in four LIS journals from 1984 to 2003. The findings suggest that the four subfields, such as information seeking/use, information retrieval, library management, and scholar communication had great contributions to both theory building and theory use. Also, two research areas such as bibliometrics and professionals are very likely to be theoretical. Further, the analysis of the name of theories used by subfields could give an insight into the understanding of how the theoretical frameworks of each subfield are related.

• Korean Journal of Culture and Social Issue
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• v.11 no.2
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• pp.109-142
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• 2005

This study was conducted to suggest the research domains of Criminal Psychology, which is needed to improve the disciplinary identity of the Korean Criminal Psychology. Some major textbooks of Criminal Psychology, Forensic Psychology, Legal Psychology are written by korean and foreign psychologists. Major definitions and research domains of Criminal Psychology was compared and reviewed. For aggregating the criminal psychological researches were studied by korean psychologists, a total of 211 articles and papers, which was published by Korean Psychological Association, 5 Sub-psychological Associations, and Korean Law Psychological Association, were reviewed. Several the major research domains in Criminal Psychology was suggested as follows: General psychological theories, aggression·anger·morality, adolescent delinquency, mind and motivations of criminals, victims, investigation techniques, testimony, assessment·counseling·correction·rehabilitation of criminals, prediction and prevention of crime.

• Journal of KIISE:Software and Applications
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• v.29 no.11
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• pp.809-817
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• 2002

This paper describes a new face detection method that is a pre-processing algorithm for on-line face recognition. To complement the weakness of using only edge or rotor features from previous face detection method, we propose the two types of face detection method. The one is a combined method with edge and color features and the other is a center area color sampling method. To prevent connecting the people's face area and the background area, which have same colors, we propose a new adaptive edge detection algorithm firstly. The adaptive edge detection algorithm is robust to illumination variance so that it extracts lots of edges and breakouts edges steadily in border between background and face areas. Because of strong edge detection, face area appears one or multi regions. We can merge these isolated regions using color information and get the final face area as a MBR (Minimum Bounding Rectangle) form. If the size of final face area is under or upper threshold, color sampling method in center area from input image is used to detect new face area. To evaluate the proposed method, we have experimented with 2,100 face images. A high face detection rate of 96.3% has been obtained.

• The Journal of Korean Association of Computer Education
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• v.20 no.1
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• pp.39-47
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• 2017

The purpose of this study is to analyze research trends and the learners' preference for subject area of SW education content. First, we analyzed trends in the subject areas of various SW education contents in recent research literature, textbooks, and textbooks. Based on this, we defined six subject areas as storytelling, game, media art, educational learning contents, simulation. Also, we analyzed the case of college students based on the reason of SW implementation theme selection, selection method, and preference theme. As a result, the students were mainly influenced by their interests and teachers in the reason of topic selection, and they showed higher preference in game and storytelling subject area. We hope that this research will be reflected in balanced SW education contents design according to learner level in the future.

• Journal of KIISE:Software and Applications
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• v.28 no.2
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• pp.132-140
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• 2001

야외에서 인지되는 자연 경치는 다양한 개체, 빛의 산란, 또는 변화를 주는 많은 요소들 때문에 컴퓨터 영상처리에서 인식하기가 쉽지 않다. 본 논문에서는 다층 인지 신경망을 이용하여 도로가 포함된 야외영상에 나타나는 개체들을 인식하는 방법을 연구하였다. 자연 영상을 영역화한 후, 각각의 영역들에 대하여 색상과 기하학적인 특성에 근거하여 특성벡터를 추출하고 이를 신경망에 입력하여 각 영역을 구분하는 2단계의 알고리듬을 제안한다. 먼저 야외 영상들을 개선된 영역 확장법과 병합과정에 의하여 개체별로 영역화하였다. 영역화된 연상은 자연 영상과 함께 영상 데이타베이스에 저장되고, 이 자료들을 이용하여 각 영역의 특성벡터를 계산하였다. 이 특성 벡터를 구성된 신경망의 입력층에 전달하면, 각 영역은 27개의 개체 중의 하나로 출력층에서 인식된다. 제안된 방법은 학습에 사용된 데이타, 학스베 사용되지 않은 새로운 데이타, 그리고 모두 합하여 놓은 데이타의 세가지 데이타 군에서 무작위로 선별하여 인식률을 측정하였다. 학습된 데이타에서는 99.4%까지의 인식률을 보여주었고, 학습되지 않은 데이타에 대해서도 최고 89.1%까지의 인식률을 나타내었다. 제안된 방법은 평균적으로 88.1%~97.9%의 인식률을 보여주어 자연 경치의 인식에 신뢰성이 있는 방법으로 사용될 수 있음을 증명하였다.

• Proceedings of the Korean Society of Food and Cookery Science Conference
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• 2003.10a
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• pp.97-97
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• 2003

최근 급변하고 있는 급식조직내에서의 영양사 직무영역을 파악하고 영양사 직무수행시 요구되는 관리능력 배양을 위한 교육내용의 수요를 파악하기 위한 기초자료를 마련하고자 본 조사연구를 수행하였다. 지역을 고려하여 서울시내 사업체, 병원, 학교 급식소 중 450곳을 선정한 후 급식관리를 담당하는 영양사를 대상으로 설문조사를 실시하였으며, 최종적으로 242부가 회수되었다. 조사내용은 급식소의 일반적인 사항 4문항, 영양사의 일반적인 사항 5문항을 포함하여 영양사의 직무영역을 구매관리, 생산관리, 인사관리, 원가관리, 재고관리, 위생관리, 영양관리, 시설ㆍ설비관리부분으로 구분하고 이에 대해 현재 직접 관리하고 있는 영역, 기존의 급식관리시 어려움을 느끼는 영역, 영양사 직무수행을 위해서 대학교육에서는 불충분했다고 생각되는 영역, 향후 급숙관리시 중요하게 관리해나갈 직무영역 등으로 구성하였다. (중략)