• Transactions of the Korean Society of Mechanical Engineers A
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• v.21 no.11
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• pp.1862-1870
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• 1997

A fast and precise technique to measure 3-dimensional coordinates of an object is proposed. It is essential to take the 3-dimensional measurements of the object in design and inspection. Using this developed system a surface model of a complex shape can be constructed. 3-dimensional world coordinates are projected onto a camera plane by the perspective transformation, which plays an important role in this measurement system. According to the shape of the object two measuring methods are proposed. One is rotation of an object and the other is translation of measuring unit. Measuring speed depending on image processing time is obtained as 200 points per second. Measurement resolution i sexperimented by two parameters among others; the angle between the laser beam plane and the camera, and the distance between the camera and the object. As a result of these experiments, it was found that measurement resolution ranges from 0.3mm to 1.0mm. This constructed surface model could be used in manufacturing tools such as rapid prototyping machine.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.659-663
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• 2009

In this paper, we propose a rectification method that can convert ray space data obtained by controlled camera array to ideal data. Here, Ideal data is obtained by getting longitudinal and transversal epipolar line between cameras vertical and horizontal. However it is actually difficult to arrange cameras strictly because we arrange cameras by hand. As conventional method, we have use camera-calibration method. But if we use this method there are some errors on the output image. When we generate arbitrary viewpoint images this error is critical problem. We focus attention on ideal trajectory of characteristic point. And to minimize the error directly we parallelize the real one. And we showed usefulness of proposed technique. Then using the proposed technique, we were successful reducing the error to less than 0.5 pixels.

• Publications of The Korean Astronomical Society
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• v.31 no.1
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• pp.1-9
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• 2016

We investigate the records related to the reign style and the calendar day from the epigraphs of the Goryeo dynasty (918 - 1392) in Korea in order to verify and supplement the sexagenary cycle data of the first day in the lunar month of the dynasty. The database of the National Research Institute of Culture Heritage contains a rubbed-copy image, transcription statement, and translation statement for Korean epigraphs as well as 775 epigraphs corresponding to the Goryeo dynasty. The epigraph records are valuable in that, during this time, they were written differently from other historical literature such as the Goryeosa (History of the Goryeo Dynasty), which was compiled in the next dynasty. We find that the Goryeo dynasty, in general, had adopted the reign styles of Chinese dynasties at that time. We also find 159 calendar day records all showing good agreement with the work of Ahn et al. except for dozens of records. Through this study, we can verify the reign styles and the calendar days of the Goryeo dynasty.

• The Transactions of the Korea Information Processing Society
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• v.3 no.4
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• pp.883-898
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• 1996

In this paper, we propose improved method to recognize the shape for enhancing the quality of the pattern recognition system by compressing the source images. In the proposed method, we reduced the data amount by skeletonizing the source images using mathematical morphology, and then matched patterns after accomplishing the translation and scale normalization, and rotation invariance on the transformed images. Through the scale normalization, it was possible for the shape recognition at minimum amount of the pixel by giving the weight to the skeleton pixel. As the source images was replaced by the skeleton images, it was possible to reduce the amount of data and computational loads dramatically, and so become much faster even with a smaller memory capacity. Through the experiment, we investigated the optimum scale factor and good result was proved when realizing the pattern recognition system.

• The Transactions of the Korea Information Processing Society
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• v.1 no.1
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• pp.73-80
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• 1994

Fourier Descriptors(FD) is a common way for representing the boundary of an object. In this paper, an algorithm has been implemented to do object recognition by using FD. This is applied to various tool object, and is tested. This implementation contains two parts: image acquisition and object recognition. Appropriate lighting, viewing angle, and strong contrast of background and object are taken into account in this aspect. Minimum distances are calculated by using FD's and boundary matching among objects on the process of object recognition. Rotation, translation and scaling of the object will not influence the performance of the algorithm. Experiments show that we can use only one fourth of 1024 FD coefficients to do raped object recognition.

• Anxiety and mood
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• v.19 no.1
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• pp.1-9
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• 2023

Objective : To translate and adapt the Social Appearance Anxiety Scale into Korean and validate the Korean version of the social appearance anxiety scale, which measures the fear and anxiety about being negatively evaluated by others based on one's overall appearance, including body shape. Methods : For item translation and adaptation, six bilingual translators participated in the process of forward-adaptation and back-adaptation. Data were collected from undergraduate students. The sample size is 105 for Study 1 and 212 for Study 2. Classical item discrimination and difficulty analyses, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and reliability analysis were performed. Results : A unidimensional structure was found with a high internal consistency (Cronbach's α=0.95) and a high test-retest reliability (r=0.918). In addition, the concurrent validity was examined by correlations of the scale and several other scales measuring constructs related to social appearance anxiety. Conclusion : K-SAAS appears to be a reliable and valid scale for screening and assessing social appearance anxiety.

• Journal of Korean Medical classics
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• v.28 no.1
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• pp.97-110
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• 2015

Objectives : Usually medical terminology of oriental mecidine has a multiple meaning. But concept of Shanghan(傷寒) should be simple, because Shanghanlun(傷寒論) is a clinical guideline book. So I researched to suggest many concept of Shanghan, which are suitable for each chapter of Shanghanlun. Methods : I enumerated provisions including Shnaghan from the original texts of Gangpyeong-Shanghanlun(康平傷寒論). And I translated and reviewed them. Results : 1. Shanghan of Preface(序文) means a disease of high fatality. 2. Shanghan of Shanghanrye(傷寒例) means diseases due to physical damage of cold weather. 3. Shanghan of Diagnosis of Daeyang Disease(辨大陽病) - Neck stiffness(痙), Dampness(濕), Sun stroke(暍) means certain disease names accompanying fever, chill. 4. Shanghan used in Diagnosis of Diseases is a premise of many provisions of Shanghanlun. And Shanghan is made up of finished fever, expected fever, chill, body pain, loss of appetite, image of tension. Conclusions : We can use a appropriate translation on Shanghan of each chapter of Gangpyeong-Sanghanlun. Especially Shanghan used in "Diagnosis of Diseases" should have more accurate meaning.

• Journal of Korea Society of Industrial Information Systems
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• v.4 no.2
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• pp.1-6
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• 1999

We propose a new algorithm for pattern classification by extracting feature vectors based on Gibbs distributions which are well suited for representing the characteristic of an images. The extracted feature vectors are comprised of 2-D moments which are invariant under translation rotation, and scale of the image less sensitive to noise. This implementation contains two puts: feature extraction and pattern classification First of all, we extract feature vector which consists of an improved 2-D moments on the basis of estimated Gibbs distribution Next, in the classification phase the minimization of the discrimination cost function for a specific pattern determines the corresponding template pattern. In order to evaluate the performance of the proposed scheme, classification experiments with training document sets of characters have been carried out on SUN ULTRA 10 Workstation Experiment results reveal that the proposed scheme had high classification rate over 98%.

• Cross-Cultural Studies
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• v.37
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• pp.157-183
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• 2014

Although Marguerite Yourcenar, a representative French woman writer, lived 47 years in the United States from 1939 to 1987, the American influence on her life has not been studied either at home or abroad. The purpose of this study is to examine chronologically the American influence on the following three literary works of Yourcenar: The Little Mermaid (1942), River Deep, Dark River (1966) and Recluse (1982). The Little Mermaid is a drama, presented in musical format, about the identity crisis and inner conflict of Yourcenar. Unlike the little mermaid who burst like a bubble in Hans Christian Andersen's fairy tale, Yourcenar associates her death with the image of ascension. River Deep, dark river is a translation of the Negro spiritual expressing the suffering of African Americans. Recluse, her last novel, deals with the life story of a simple man living in nature on a small island. This novel shows Yourcenar's desire for a pure world that is not defiled by human greed. Yourcenar sponsored major human rights organizations and environmental groups in her life, and donated her entire fortune for human rights and the protection of Wild Fauna and Flora. The American influence on the literary works of Yourcenar can be summarized as a "great turning point", because she was transformed from a humanistic writer into an intellectual actor.

• The Bulletin of The Korean Astronomical Society
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• v.46 no.1
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• pp.42.2-43
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• 2021

We address a question of what are three main channels that can best translate other channels in ultraviolet (UV) and extreme UV (EUV) observations. For this, we compare the image translations among the nine channels of the Atmospheric Imaging Assembly on the Solar Dynamics Observatory using a deep learning model based on conditional generative adversarial networks. In this study, we develop 170 deep learning models: 72 models for single-channel input, 56 models for double-channel input, and 42 models for triple-channel input. All models have a single-channel output. Then we evaluate the model results by pixel-to-pixel correlation coefficients (CCs) within the solar disk. Major results from this study are as follows. First, the model with 131 Å shows the best performance (average CC = 0.84) among single-channel models. Second, the model with 131 and 1600 Å shows the best translation (average CC = 0.95) among double-channel models. Third, among the triple-channel models with the highest average CC (0.97), the model with 131, 1600, and 304 Å is suggested in that the minimum CC (0.96) is the highest. Interestingly they are representative coronal, photospheric, and chromospheric lines, respectively. Our results may be used as a secondary perspective in addition to primary scientific purposes in selecting a few channels of an UV/EUV imaging instrument for future solar satellite missions.