• The Transactions of the Korea Information Processing Society
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• v.3 no.3
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• pp.449-459
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• 1996

The main goal of this paper is to introduce a novel definition for fuzzy mathematical morphology and a neural network implementation. The generalized- mean operator plays the key role for the definition. Such definition is well suited for neural network implementation. The first stage of the shared-weight neural network has adequate architecture to perform morphological operation. The shared- weight network performs classification based on the features extracted with the fuzzy morphological operation defined in this paper. Therefore, the parameters for the fuzzy definition can be optimized using neural network learning paradigm. Learning rules for the structuring elements, degree of membership, and weighting factors are precisely described. In application to handwritten digit recognition problem, the fuzzy morphological shared-weight neural network produced the results which are comparable to the state-of art for this problem.

• Journal of The Korea Institute of Healthcare Architecture
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• v.20 no.1
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• pp.35-43
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• 2014

Purpose: Globally, Paradigm and corresponding awareness of mental health and mental illness is changing. At this point, social policy and cultural consciousness must also be changed. Medical facilities to contain the recognition of the people of that period and the social, cultural background. Social situation changes, science has developed and facility changes. So, awareness of people for the facility also changes. Thus, this study consider the meaning and features of the facility with change of psychiatry and the concept of disease in each period. Finally, the purpose of this study is to analyze the development of Mental Healthcare Facilities before 19th Century. Methods: In this study, focusing on the literature study, it investigated the developmental process of mental healthcare facilities. Results: As the result of this study can be summarized as followings. In ancient times, facility for the harmony of body and mental appeared by means of supernaturalism and rationalism. In the middle ages, facility for restraint and control appeared by means of religious absolutism and mysticism. In the early modern period, facility for therapy appeared by means of humanism and enlightenment. Implications: Unlike other healthcare facilities, Mental healthcare facilities have a unique history. Based on the point of view of each period, it appears form and characteristics of mental healthcare facilities are different.

• Journal of Chest Surgery
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• v.31 no.9
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• pp.915-918
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• 1998

The chest wall deformity associated with Poland's syndrome is a very rare anomaly which consists of congenital unilateral absence of the sternal head of the pectoralis major muscle and various abnormalities of the upper extremity. Other clinical features associated with Poland's syndrome include deficiency or absence of the breast and nipple, deficiency of subcutaneous fat and axillary hair, and abnormalities of costal cartilages and anterior ends of ribs. The origin remains uncertain, but is considered not to be hereditary. Poland's syndrome may pose a serious psychologic and cosmetic problem, early recognition and surgical correction may prove beneficial. A 37 year old patient with Poland's syndrome was encountered and underwent satisfactory surgical correction.

• Land and Housing Review
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• v.2 no.4
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• pp.407-413
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• 2011

This paper reports a novel structural health monitoring (SHM) technique for detecting de-bonding between a concrete beam and CFRP (Carbon Fiber Reinforced Polymer) sheet that is attached to the concrete surface. To achieve this, a multi-scale actuated sensing system with a self-sensing circuit using piezoelectric active sensors is applied to the CFRP laminated concrete beam structure. In this self-sensing based multi-scale actuated sensing, one scale provides a wide frequency-band structural response from the self-sensed impedance measurements and the other scale provides a specific frequency-induced structural wavelet response from the self-sensed guided wave measurement. To quantify the de-bonding levels, the supervised learning-based statistical pattern recognition was implemented by composing a two-dimensional (2D) plane using the damage indices extracted from the impedance and guided wave features.

• Korean Journal of Remote Sensing
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• v.24 no.2
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• pp.117-124
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• 2008

This paper introduces a novel approach for automated mapping of a map feature that is vinyl green house in high spatial resolution imagery Some map features have their unique spatial patterns. These patterns are normally detected in high spatial resolution remotely sensed data by human recognition system. When spatial patterns can be applied to map feature identification, it will improve image classification accuracy and will be contributed a lot to feature identification. In this study, an automated feature identification approach using spatial aucorrelation is developed, specifically for the vinyl green house that has distinctive spatial pattern in its array. The algorithm aimed to develop the method without any human intervention such as digitizing. The method can investigate the characteristics of repeated spatial pattern of vinyl green house. The repeated spatial pattern comes from the orderly array of vinyl green house. For this, object-based approaches are essential because the pattern is recognized when the shapes that are consists of the groups of pixels are involved. The experimental result shows very effective vinyl house extraction. The targeted three vinyl green houses were exactly identified in the IKONOS image for a part of Jeju area.

• Journal of Broadcast Engineering
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• v.26 no.4
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• pp.419-428
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• 2021

Shadow removal plays a key role for the pre-processing of image processing techniques such as object tracking and detection. With the advances of image recognition based on deep convolution neural networks, researches for shadow removal have been actively conducted. In this paper, we propose a novel method for shadow removal, which utilizes self attention distillation to extract semantic features. The proposed method gradually refines results of shadow detection, which are extracted from each layer of the proposed network, via top-down distillation. Specifically, the training procedure can be efficiently performed by learning the contextual information for shadow removal without shadow masks. Experimental results on various datasets show the effectiveness of the proposed method for shadow removal under real world environments.

• Cross-Cultural Studies
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• v.31
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• pp.35-64
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• 2013

This thesis seeks to compare China's Jing-ju and Japan's Kabuki for their common aspects and differences and examine how they are performed on the stage. Jing-ju is often called as Beijing Opera to refer to a musical play completed during the mid-Ching era and developed around Beijing. Jing-ju is composite arts of music, dance and play which are remarkable in its strict patterns in move along with luxurious costume and heavy make-up. Kabuki which was developed during the Edo-period, is expressional arts also structured with music, dance and play coupled with extravagant costume as well as even more strictly controlled move and emphasis on the beauty of form. The two plays seem very similar to each other in their time setting to gain popularity or features of play. It may look obvious that Jing-ju which had developed earlier than Kabuki, affected the latter's formation. However, general social practices or cultural trends in China and Japan at the time of their development also influenced literature and arts thus affecting play contents and performance expressions. Although the two plays have similar stage structure, they developed in different ways with detailed differences and actors' performance on the stage, way of using a stage and other ways of directing play are largely distinctive from each other. If a play's primary goal is to gain recognition of audience and draw their positive response, the relationship between play and stage becomes essential. With this understanding, this thesis aims to identify where such similarities and differences between the two plays are from by comparing historical background, stage structural development and directing manner development at a basic level.

• Journal of the Korea Society of Computer and Information
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• v.24 no.4
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• pp.137-144
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• 2019

The purpose of this study was to provide basic data for the development of a prototype of a garment that allows middle aged men to look idealized by examining the type of perception of middle aged men based on their subjective evaluation and their characteristics. This study used the Q methodology, which is a subjective research method that finds correlations among middle aged men across subjective attributes. The types of perception of body shape of middle aged men were analyzed as three types: leaning forward shape with bird legs, developed upper body shape with thick legs, protruding abdomen obesity body shape. The leaning forward shape with bird legs was recognized as the lowest in the BMI index, and the shoulder and chest were sagging, legs were thinner than the body and leaned forward. And that the hip were protruding and had a flat rectangular shape. Developed upper body shape with thick legs was the second overweight type of BMI index. It was recognized that the ankle and calf thighs were thick and the upper abdomen protruded upper body development body. Protruding abdomen obesity body shape was the most obese type with BMI index. In this type, the height was the smallest, and the upper abdomen came out and the abdomen protruded, and the abdomen was more exuded than the chest, and the neck was thick and the hips were recognized as the big body. The middle aged men's recognitive body shape was classified as a similar to actual body shape. However, in the recognition type, the frontal and side body types were mixed and classified. It is necessary to study the ergonomic pattern considering the features of each body type. This suggests that psychological effects can be obtained that allow the body shape that changes with age to be accepted more positively.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.9
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• pp.49-55
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• 2019

This paper presents a marker image evaluation method based on analysis of object distribution in images and classification of images with repetitive patterns for effective marker-based augmented reality (AR) system development. We measure the variance of feature point coordinates to distinguish marker images that are vulnerable to occlusion, since object distribution affects object tracking performance according to partial occlusion in the images. Moreover, we propose a method to classify images suitable for object recognition and tracking based on the fact that the distributions of descriptor vectors among general images and repetitive-pattern images are significantly different. Comprehensive experiments for marker images confirm that the proposed marker image evaluation method distinguishes images vulnerable to occlusion and repetitive-pattern images very well. Furthermore, we suggest that scale-invariant feature transform (SIFT) is superior to speeded up robust features (SURF) in terms of object tracking in marker images. The proposed method provides users with suitability information for various images, and it helps AR systems to be realized more effectively.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.3
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• pp.247-253
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• 2019

In this paper, we present a new method for real-time tracking of human walking around a laser sensor system. The method converts range data with $r-{\theta}$ coordinates to a 2D image with x-y coordinates. Then human tracking is performed using human's features, i.e. appearances of human walking pattern, and the input range data. The laser sensor based human tracking method has the advantage of simplicity over conventional methods which extract human face in the vision data. In our method, the problem of estimating 2D positions and orientations of two walking human's ankle level is formulated based on a moving trajectory algorithm. In addition, the proposed tracking system employs a HMM to robustly track human in case of occlusions. Experimental results using a real system demonstrate usefulness of the proposed method.