• Tribology and Lubricants
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• 제15권2호
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• pp.206-211
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• 1999

Wear debris morphology is closely related to the wear mode and mechanism occured. Image recognition of wear debris is, therefore, a powerful tool in wear monitoring. But it has usually required expert's experience and the results could be too subjective. Development of automatic tools for wear debris recognition is needed to solve this problem. In this work, an algorithm for automatic wear debris recognition was suggested and implemented by PC base software. The presented method defined a characteristic 3-dimensional feature space where typical types of wear debris were separately located by the knowledge-based system and compared the similarity of object wear debris concerned. The 3-dimensional feature space was obtained from multiple feature vectors by using a multi-dimensional scaling technique. The results showed that the presented automatic wear debris recognition was satisfactory in many cases application.

• 대한건축학회논문집:계획계
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• 제34권6호
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• pp.93-103
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• 2018

In the past, the rooftop was a place where a water tank was to be installed, and a space of secretion and concealment such as a warehouse exposed in the air. It was because it was judged to hinder the beauty of a city as a whole without having any functional value per se. However, the roof portion is increasingly being utilized for a space such as a cafe, a pub, and a lounge as the rooftop is highly recognized as a place for leisure activities other than an idle space in modern times. Nonetheless, there are no detailed ordinances and criteria corresponding to such circumstances. For example, in case of the rooftop space, the building code applied to the rooftop space is a legal system when the rooftop was an idle space in the past though people have now accessed more increasingly to the rooftop than in the past. This study investigated the definition on the rooftop space evolved in accordance with the change of the rooftop space and the related legal system in Korea, and conducted a survey for the purpose of performing the field investigation for the analysis of physical status in 117 spaces that form the rooftop space in the rooftop of small-scale commercial facilities with 2 stories through 4 stories in Korea and analyze the recognition of users and analyzing the recognition of users. We analyzed the problems in the rooftop space through analysis of derived data, and suggested improvement plans.

• 대한건축학회논문집:계획계
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• 제35권4호
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• pp.45-52
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• 2019

The most ordinary form of residential type in Korea is a plate-type apartment, and the common space in these apartment is attracting as an important factor for enhancing social exchanges among neighbors and forming community consciousness. In addition, it provides a sense of psychological security by enabling natural exchanges and communication in contemporary society. It is desirable to plan the flow of space in such a way that private, semi-private, semi-public, and public spaces are linked. Semi-private and semi-public spaces can be defined as common spaces. Semi-private spaces are strongly recognized in the order of unit household entrance, main entrance, elevator, corridor, staircase, playground, bench, trail, walkway and parking lot, exercise space, main/back gate, the ability to gratify is increased sense of belonging, ownership consciousness formation, defensive function. Semi-public space is strongly recognized in the order of playground, bench, exercise space, trail, main entrance, walkway and parking lot, unit household entrance, main/back gate, corridor, staircase, elevator, the ability to gratify is increase of social contact, Secondary activity space function. In addition, the function to gratify in the common space differs according to gender and age group among resident characteristics, and differs according to corridor type, parking lot type and main entrance type. Therefore, differentiated planning of common space is needed in consideration of these differences in the design of common space in future.

• 한국실내디자인학회논문집
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• 제34호
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• pp.149-156
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• 2002

This study intends to acquire objective models for basic quantitative analysis of pattern and space through image-recognition technique, and verify the effectiveness of such acquired models. Many experiments showed that the recognized result can be varied depending on the different viewpoints and the analysis based on the single-viewpoint images does not provide objectivity. The experiment using multi-viewpoint image models, which was attempted as an alternative for the disadvantages, showed the recognition similar to that of the actual model. Especially, images generated at laboratory using miniature model may be useful in comparing and understanding plural number of patterns. The models that have been acquired using such images may be hard to use in acquiring images for analyzing actual building patterns or indoor space, although they may be useful in pattern analysis using miniature model. The disadvantage, however, can be supplemented with panorama VR and C. G. simulation technique. Steady researches are required on the application of visual information to the image recognition principle and the model for quantitative analysis of pattern and space in addition to the research on the construction of the model that can be used in comparing and analyzing not only form and space but also miniature models.

• 전기학회논문지
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• 제64권9호
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• pp.1347-1355
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• 2015

In this study, we compare the recognition performance using PCA and RBFNNs for introducing robust face recognition system to pose variations based on pose estimation. proposed face recognition system uses Honda/UCSD database for comparing recognition performance. Honda/UCSD database consists of 20 people, with 5 poses per person for a total of 500 face images. Extracted image consists of 5 poses using Multiple-Space PCA and each pose is performed by using (2D)²PCA for performing pose classification. Linear polynomial function is used as connection weight of RBFNNs Pattern Classifier and parameter coefficient is set by using Particle Swarm Optimization for model optimization. Proposed (2D)²PCA-based face pose classification performs recognition performance with PCA, (2D)²PCA and RBFNNs.

• 한국컴퓨터정보학회논문지
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• 제22권4호
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• pp.33-39
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• 2017

In this paper, we expand the process of classification to an ensemble of fuzzy decision tree. For indoor space recognition, many research use Boosted Tree, consists of Adaboost and decision tree. The Boosted Tree extracts an optimal decision tree in stages. On each stage, Boosted Tree extracts the good decision tree by minimizing the weighted error of classification. This decision tree performs a hard decision. In most case, hard decision offer some error when they classify nearby a dividing point. Therefore, We suggest an ensemble of fuzzy decision tree, which offer some flexibility to the Boosted Tree algorithm as well as a high performance. In experimental results, we evaluate that the accuracy of suggested methods improved about 13% than the traditional one.

• 한국인터넷방송통신학회논문지
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• 제9권5호
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• pp.175-181
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• 2009

본 논문에서는 Scale-space filtering 방법을 사용하여 홍채인식을 이용한 보안시스템을 구현 하였다. 적외선 카메라를 이용하여 영상을 획득하고 Scale-space filtering과 영상의 Concavity를 이용하여 2차원 코드를 추출하여 서버에 저장된 코드와 비교하여 신분을 인식하는 방법을 사용하였다. 보안 시스템을 구현한 후 실제 홍채영상을 이용하여 실험한 후 FAR과 FRR을 측정하여 시스템의 성능을 입증하였다. 실험결과는 제안한 방법이 매우 적합하다는 것을 보여준다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.1281-1285
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• 2004

There are numerous emotions in the human world. Human expresses and recognizes their emotion using various channels. The example is an eye, nose and mouse. Particularly, in the emotion recognition from facial expression they can perform the very flexible and robust emotion recognition because of utilization of various channels. Hybrid-feature extraction algorithm is based on this human process. It uses the geometrical feature extraction and the color distributed histogram. And then, through the independently parallel learning of the neural-network, input emotion is classified. Also, for the natural classification of the emotion, advancing two-dimensional emotion space is introduced and used in this paper. Advancing twodimensional emotion space performs a flexible and smooth classification of emotion.

• 한국지능시스템학회논문지
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• 제13권4호
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• pp.381-385
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• 2003

본 논문에서는 다면체의 인식을 위하여 사용되는 여러-방향-보기 방법 (multiple-view approach)에서, ART-1 신경망을 이용하여 모델베이스의 탐색공간 크기를 줄이기 위한 방법을 제안한다. 이 방법에서 모델베이스는 물체를 둘러싸고 있는 보기 구체의 미리 정해진 시점에서 관측된 2차원 투영체에서 추출된 특징들로 구성된다.

• 정보처리학회논문지B
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• 제17B권4호
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• pp.309-316
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• 2010

본 연구에서는 얼굴 그리드 각도를 특징공간으로 하는 새로운 모델 기반 얼굴 표정 인식 방법을 제안한다. 제안 방식은 6가지 얼굴 대표 표정을 인식하기 위해 표정 그리드를 이용하여 그리드의 각 간선과 정점이 형성하는 각도를 기반으로 얼굴 특징 공간을 구성한다. 이 방법은 다른 표정 인식 알고리즘의 정확도를 낮추는 원인인 변환, 회전, 크기변화와 같은 어파인 변환에 강건한 특징을 보인다. 또한, 본 연구에서는 각도로 특징공간을 구성하고 이 공간 내에서 Wrapper 방식으로 특징 부분집합을 선택하는 과정을 설명한다. 선택한 특징들은 SVM, 3-NN 분류기를 이용해 분류하고 분류 결과는 2중 교차검증을 통해 검증하도록 한다. 본 연구가 제안한 방법에서는 94%의 표정 인식 결과를 보였으며 특히 특징 부분집합 선택 알고리즘을 적용한 결과 전체 특징을 이용한 경우보다 약 10%의 인식율 개선 효과를 보인다.