• Journal of the Institute of Electronics Engineers of Korea SP
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• v.49 no.4
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• pp.77-84
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• 2012

Face classification has wide applications in intelligent video surveillance, content retrieval, robot vision, and human-machine interface. Pose and expression changes, and arbitrary illumination are typical problems for face recognition. When the face is captured at a distance, the image quality is often degraded by blurring and noise corruption. This paper investigates the efficacy of multi-classifier decision level fusion for face classification based on the photon-counting linear discriminant analysis with two different cost functions: Euclidean distance and negative normalized correlation. Decision level fusion comprises three stages: cost normalization, cost validation, and fusion rules. First, the costs are normalized into the uniform range and then, candidate costs are selected during validation. Three fusion rules are employed: minimum, average, and majority-voting rules. In the experiments, unfocusing and motion blurs are rendered to simulate the effects of the long distance environments. It will be shown that the decision-level fusion scheme provides better results than the single classifier.

• 한국방재학회:학술대회논문집
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• 2011.02a
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• pp.156-156
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• 2011

중량물 혹은 철골구조물 등을 고정시키는데, 건축구조물의 철골기둥, 터빈 제네레이터 기기등을 콘크리트 구조물에 부착시키기 위해 널리 쓰인다. 1990년대 들어 국내 건물의 리모델링, 보수 및 유지관리의 증가에 따라 앵커의 사용량도 현저히 증가하고 있으나 대부분 고가의 외국산제품을 수입하고 있다. 현재 국내외에 주로 시행되는 앵커타입은 마찰형 앵커이나 마찰형 앵커와 달리 지압형 앵커의 경우, 외국에서는 이미 그 유효성에 대한 인식이 널리 퍼져있으며 각국의 지반조건에 적합한 설계법이 개발되었다. 그러나 국내의 경우 이러한 연구가 미진한 실정이며 이에 대한 연구가 절실한 상황이다. 본 연구에서는 중량물앵커(Heavy Duty Anchor)의 인장시험을 실시하여 내력을 규명하고 도출한 결과를 기존 시험연구 결과와 비교분석하여 기 제안된 이론식들과 사업경제성에대해 보다 깊이있고 정확한 적용성을 입증하는데 본 연구를 수행하였다. 시험을 통한 저강도 파괴시험의 결과 구조부재의 접합부에서 각 시험체마다 뽑힘파괴가 발생하였으며, 뽑힘파괴가 발생한 시험체는 앵커강재의 파괴력 또는 콘크리트의 콘파괴를 발생시키기에는 앵커슬리브의 확장력이 작게 작용되었다. 그 결과, 콘파괴 대신 구조부재의 접합부에서 뽑힘파괴가 발생되었으며 이를 통해 설계시, 앵커의 안정성을 증가시키기 위해 구조부재의 접합부를 연성적이며, 부가여력을 충분히 지니도록 설계하는 것이 효과적인 것으로 나타났다. 고강도 파괴시험의 결과 콘파괴가 발생되었음을 알 수 있는데, 본 시험에 사용된 앵커의 경우 정착위치가 구조물의 연단 모서리 거리와 너무 근접하여 앵커의 내력이 감소하게 되어 콘크리트의 콘강도가 발생되기 전에 먼저 파괴되었다. 따라서 설계시, 앵커의 파괴강도를 증가시키기 위해 앵커의 정착위치를 고려한 설치를 통해 앵커체결과정에서 적정 연단거리를 확보하는 것이 효과적인 것으로 나타났다. 앵커볼트 최소간격과 연단거리에 따른 파괴시험결과 앵커볼트의 간격이 허용범위 내에서 넓어질수록 불균등 부반력의 차는 감소하였으며, 최대 부반력도 감소하였다. 따라서 앵커의 파괴저항강도를 증가시키기 위해서는 허용범위 내에서 앵커볼트의 설치간격을 증가시키는 것이 효과적인 것으로 나타났다.

• Journal of Internet Computing and Services
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• v.8 no.3
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• pp.19-32
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• 2007

This paper present a new face recognition method based on LVQ neural net to construct a real time face recognition system. The previous researches which used PCA, LDA combined neural net usually need much time in training neural net. The supervised LVQ neural net needs much less time in training and can maximize the separability between the classes. In this paper, the proposed method transforms the input face image by PCA and LDA sequentially into low-dimension feature vectors and recognizes the face through LVQ neural net. In order to make the system robust to external light variation, light compensation is performed on the detected face by max-min normalization method as preprocessing. PCA and LDA transformations are applied to the normalized face image to produce low-level feature vectors of the image. In order to determine the initial centers of LVQ and speed up the convergency of the LVQ neural net, the K-Means clustering algorithm is adopted. Subsequently, the class representative vectors can be produced by LVQ2 training using initial center vectors. The face recognition is achieved by using the euclidean distance measure between the center vector of classes and the feature vector of input image. From the experiments, we can prove that the proposed method is more effective in the recognition ratio for the cases of still images from ORL database and sequential images rather than using conventional PCA of a hybrid method with PCA and LDA.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.4
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• pp.354-359
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• 2013

In this paper, we suggested the method for implementation of unsupervised nonlinear classification using Binary Harmony Search (BHS) algorithm, which is known as a optimization algorithm. Various algorithms have been suggested for classification of feature vectors from the process of machine learning for pattern recognition or EEG signal analysis processing. Supervised learning based support vector machine or fuzzy c-mean (FCM) based on unsupervised learning have been used for classification in the field. However, conventional methods were hard to apply nonlinear dataset classification or required prior information for supervised learning. We solved this problems with proposed classification method using heuristic approach which took the minimal Euclidean distance between vectors, then we assumed them as same class and the others were another class. For the comparison, we used FCM, self-organizing map (SOM) based on artificial neural network (ANN). KEEL machine learning datset was used for simulation. We concluded that proposed method was superior than other algorithms.

• The Journal of the Acoustical Society of Korea
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• v.20 no.3
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• pp.24-33
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• 2001

this paper describes a baseline for an implementation of a corpus-based Korean TTS system. The conventional TTS systems using small-sized speech still generate machine-like synthetic speech. To overcome this problem we introduce the corpus-based TTS system which enables to generate natural synthetic speech without prosodic modifications. The corpus should be composed of a natural prosody of source speech and multiple instances of synthesis units. To make a phone level synthesis unit, we train a speech recognizer with the target speech, and then perform an automatic phoneme segmentation. We also detect the fine pitch period using Laryngo graph signals, which is used for prosodic feature extraction. For break strength allocation, 4 levels of break indices are decided as pause length and also attached to phones to reflect prosodic variations in phrase boundaries. To predict the break strength on texts, we utilize the statistical information of POS (Part-of-Speech) sequences. The best triphone sequences are selected by Viterbi search considering the minimization of accumulative Euclidean distance of concatenating distortion. To get high quality synthesis speech applicable to commercial purpose, we introduce a domain specific database. By adding domain specific database to general domain database, we can greatly improve the quality of synthetic speech on specific domain. From the subjective evaluation, the new Korean corpus-based TTS system shows better naturalness than the conventional demisyllable-based one.

• Korea journal of population studies
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• v.19 no.2
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• pp.175-205
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• 1996

The purpose of this study was to find the distribution of the variables on the quality of life and the determinants of the sexual attitude and behavior of the unmarried female workers. This study was surveyed to the 306 unmarried women who worked in the small and medium scale industries in Kyungin area and analyzed the respondent's knowledge of sex, sexual behavior, health behavior, health status, satisfaction of working condition and recognition of working environment. The result of this study could be summarized as follows: The respondent's age are mostly early of twenties and their education level are high school and more. They recognize that their health condition is not so good but they hardly try to improve health condition. They think that their working condition are mostly unsatisfied and they also believe that they expose themselves to the toxic working environment. Although their knowledge of sex are low they have few chances for the education of sex and family planning. Their attitude of premarital sex are conservertive but the rate of approval of living together before marriage are high and the rate of premarital sex is around 15 percent. The premarital sex behavior are positively related with family size, living condition, knowledge of sex and working period but the sex experiences are negatively related with working period and knowledge of sex. As a result we suggest that the sex education and consultative program are necessary for improving the quality of life of the unmarried working women in small and medium scale industries.