• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.879-882
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• 2016

본 논문은 인공암벽에 부착된 홀드의 형태 및 위치 인식 시스템을 제안한다. 스크린 클라이밍 시스템에 있어서 인공암벽에 부착된 홀드의 형태와 위치 데이터는 다양한 정보로 활용되지만 사람이 수작업으로 계산하기에는 어려움이 따른다. 홀드의 형태가 각기 다르며, 인공암벽에 부착된 홀드의 수가 보통 수백 개 이상 되기 때문이다. 따라서 제안하는 인식 기술을 통하여 자동으로 홀드의 형태와 위치 데이터를 계산할 수 있게 한다. 홀드의 형태는 스네이크 알고리즘으로 윤곽선을 추출해 인식하며, 홀드의 위치는 추출된 윤곽 데이터의 무게중심 점을 계산하여 인식한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.138-141
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• 2011

최근 유비쿼터스 컴퓨팅 시대로 진입하면서 센서 네트워크에 대한 관심이 증대되고 있다. 그 중에서 위치인식을 이용한 다양한 연구가 활발하게 진행되고 있다. 본 논문에서는 주파수의 회절 및 반사, 감쇄 현상을 최소화 하기 위해 모바일 노드가 속해 있는 클러스터부터 수신된 RSSI 값을 사용하여 위치 정보를 추출한다. 또한 가까운 라우터 노드에 더 높은 가중치를 주어 수신한 라우터노드들의 무게 중심을 노드의 위치로 판단하는 방법을 통하여 위치 정보를 추출하는 방법을 제안한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.2
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• pp.7-12
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• 2009

The new approach was proposed which uses feature extraction based on fuzzy integral in the process of face verification using morphological shape decomposition. The centre of area was used with image pixels related with structure element and its weight in an attempt to consider neighborhood information. Therefore the morphological operators were defined for feature extraction. And then the number of decomposition images were more about 4 times than the conventional. Finally in the simulations with the extractions for face verification it was proved that the approach in this paper was even more good than the conventional in stability of feature extraction and threshold value.

• The KIPS Transactions:PartB
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• v.10B no.4
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• pp.473-478
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• 2003

In this paper, we propose the gesture recognition system using a motion information from extracted hand region in complex background image. First of all, we measure entropy for the difference image between continuous frames. Using a color information that is similar to a skin color in candidate region which has high value, we extract hand region only from background image. On the extracted hand region, we detect a contour using the chain code and recognize hand gesture by applying improved centroidal profile method. In the experimental results for 6 kinds of hand gesture, unlike existing methods, we can stably recognize hand gesture in complex background and illumination changes without marker. Also, it shows the recognition rate with more than 95% for person and 90∼100% for each gesture at 15 frames/second.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.6
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• pp.682-687
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• 2005

Behavioral sequences of the medaka(Oryzias latipes) were investigated through an image system in response to medaka treated with the insecticide and medaka not treated with the insecticide, diazinon(0.1 mg/1). After much observation, behavioral patterns could be divided into 4 patterns: active smooth, active shaking, inactive smooth, and inactive shaking. These patterns were analyzed by 5 features: speed ratio, x and y axes projection, FFT to angle transition, fractal dimension, and center of mass. Each pattern was classified using decision tree. It provide a natural way to incorporate prior knowledge from human experts in fish behavior, The main focus of this study was to determine whether the decision tree could be useful in interpreting and classifying behavior patterns of the animal.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09b
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• pp.151-154
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• 2003

본 논문에서는 흑백 CCD 카메라를 이용하여 청각 장애인의 의사전달 수단인 지화 동작을 동영상으로 입력받아 인식하여, 편집 가능한 텍스트 문서로 변환하는 시스템을 구현하였다. 일련의 입력 영상들 중에서 흐린 영상과 선명한 영상의 구분은 영상의 잔상을 이용하였고, 촬영된 연속 영상들의 배열로부터 문자 자소를 구하고, 오토마타를 적용하여 완성된 문자를 문서 편집기에 출력시켰다 획득된 선명한 영상 데이터 중 변화가 심한 손목 부분을 제거한 후, 최대 원형 이동법을 이용하여 손의 무게 중심점을 구하고, 원형 패턴 벡터 알고리즘을 적용하여 지화 해석에 필요한 손을 인식하였다. 손 중심으로부터 거리 스펙트럼을 이용하여 지화 인식에 사용되는 손 모양의 특징 벡터를 추출하고, 퍼지추론을 적용하여 표준 패턴과 입력 패턴의 특징벡터를 비교, 지화 동작을 인식하였다.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.38 no.4
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• pp.317-323
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• 1993

In order to clarify the contents of active principles in floral inhibition cultured Angelica gigas roots, the amounts of crude extract and the contents of decursin and decursinol angelate in the yearly roots were analyzed and compared with respect to the root age, root part and growth stage. The woody cell, weight and width of pith and cortex were also investigated at different growth stage to observe the developmental characteristics of lignification in the roots as bolting and flowering in normal cultured Angelica gigas. The amount of crude extracts did not differ with plant ages, whereas the contents of decursin and decursinol angelate were differed and the highest in 3 year old roots. The contents of decursin in 1, 2 and 3 year old roots were 3.71, 4.76 and 8.20% and those of decursinol angel ate were 2.84, 3.40 and 5.01%, respectively. The amount of crude extracts, and the contents of decursin and decursinol angelate were the highest in fine roots, followed by the lateral roots and the lowest in the primary roots. On the other hand, the amount of the constituents in the cortex were much higher than those in the pith of the root. The amounts of crude extract, and the contents of decursin and decursinol angelate showed the highest value at the vagetative stage and decreased with development to bolting and blooming stage. Woody cells were accumulated in the pith of the root as advancing growth stage, so that the weight and radius of the pith increased, whereas the relative weight and width of the cortex decreased slightly.

• The Journal of the Korea Contents Association
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• v.5 no.4
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• pp.85-93
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• 2005

In this paper, we propose recognition system which tracks the unmarked hand of a person performing sign language in complex background. First of all, we measure entropy for the difference image between continuous frames. Using a color information that is similar to a skin color in candidate region which has high value, we extract hand region only from background image. On the extracted hand region, we detect a contour and recognize sign language by applying improved centroidal profile method. In the experimental results for 6 kinds of sing language movement, unlike existing methods, we can stably recognize sign language in complex background and illumination changes without marker. Also, it shows the recognition rate with more than 95% for person and $90\sim100%$ for each movement at 15 frames/second.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.801-805
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• 2006

In this paper, we describe a system of controlling the pictorial puzzle program using information of hand shape. We extract hand region using skin color information and then principal component analysis uses centroidal profile information which comes blob of 2D appearance for hand shape recognition. This method suit hand shape recognition in real time because it extracts hand region accurately, has little computation quantity, and is less sensitive to lighting change using skin color information in complicated background. Finally, we controlled a pictorial puzzle with using recognized hand shape information. This method has good result when we make an experiment on application of pictorial puzzle. Besides, it can use so many HCI field.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.5
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• pp.105-111
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• 2010

In this paper the elasticity of fault-detection algorithm based on fuzzy logic is proposed through lots of experiments, justifying its validity. The four mathematical morpholgical operators was defined to detect the cracks. The cracks was detected via center of area method with ${\lambda}$-fuzzy measure of fuzzy sets. However generally favorable, the result owes to how adequate the lighting device is designed in case of the so far fine crack of pieces. In an attempt to improve the response of the system, It is designed to minimize the use of memory via LookUp table in software.