• International Journal of Quality Innovation
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• 제2권1호
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• pp.30-49
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• 2001

This paper considers a recent environment in the manufacturing process in which data in large amounts can be obtained on-line in real-time. Under this environment an on-line real-time Statistical Process Control (SPC) scheme equipped with detection of a process change, change-point estimation, and recognition of the change pattern is proposed. The proposed SPC scheme is composed of a Cusum chart, filtering methods and Akaike Information Criterion (AIC). We examine the performance of this scheme by Monte Carlo simulation and show its usefulness.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅳ
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• pp.2004-2007
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• 2003

This paper describes a method of performance enhancement using Flatness Mesure(FM) for the Gaussian Mixture Model(GMM) face recognition systems. Using this measure we discard the frames having low information before training and test. As the result, the performance increases about 9％ in the lower mixtures and calculation burden is decreased. As well, the recognition error rate is decreased under the illumination change surroundings. We use the 2D DCT coefficients lot face feature vectors and experiments are carried out on the Olivetti Research Laboratory (ORL) face database.

• 전자공학회논문지SC
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• 제43권4호
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• pp.1-10
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• 2006

본 논문에서는 수화를 의사소통 수단으로 사용하는 청각 장애인이 일반인과 일상 대화를 할 수 있도록 도와주는 모바일 수화 인식 시스템을 다룬다. 개발된 시스템은 모자에 부착된 카메라와 손목에 착용한 가속도 센서를 통해 사용자의 수화 동작을 관찰하는데, 모바일 환경에서 실제 적용할 수 있도록 조명 변화에 둔감하고 실시간 처리가 가능하도록 개발하였다. 이를 위해 조명 변화에 강인한 손 영역 분할 방법을 제안하고 추출된 손 영역 정보를 히든 마르코프 모델의 입력으로 사용하여 연속적인 수화에 대해 99.07%의 단어 정확도를 얻었다.

• 한국콘텐츠학회논문지
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• 제5권2호
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• pp.267-274
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• 2005

본 논문에서는 별도의 센서 없이 영상만을 이용하여 실시간으로 손 영상을 인식하는 알고리즘을 제안한다. 손은 모양이 매우 복잡하기 때문에 2차원 모양의 불변량에 해당하는 에지의 방향성 히스토그램을 이용하여 인식을 행한다. 이 방법은 복잡한 배경에서 색상정보를 이용하여 손 영역이 정확히 추출되며 계산량이 적고 조명변화에 덜 민감하기 때문에 실시간 손 영상 인식에 적합하다. 본 논문에서는 손의 모양제시 방향이 변하는 경우에도 인식을 가능하게 하기 위해 주성분 분석법을 사용하여 인식오차를 줄이는 방법을 기술한다. 이 방법을 사용함으로써 손 영상이 3차원적으로 회전에 의해 변하는 경우도 인식가능하게 되었다. 또한 에지방향성 데이터를 이용하기에 주성분 공간 생성 시간을 현저히 줄이게 되었다.

• Bulletin of the Korean Chemical Society
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• 제31권11호
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• pp.3212-3216
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• 2010

A new rhodamine-based sensor 1 was designed and synthesized by incorporating rhodamine B and benzimidazole moieties. Sensor 1 exhibits high selectivity and sensitivity to $Cu^{2+}$ in $CH_3CN$-water solution (HEPES buffer, pH = 7.0) with an obvious color change from colorless to pink. Other metal ions such as $Hg^{2+}$, $Ag^+$, $Pb^{2+}$, $Sr^{2+}$, $Ba^{2+}$, $Cd^{2+}$, $Ni^{2+}$, $Co^{2+}$, $Fe^{2+}$, $Mn^{2+}$, $Cu^{2+}$, $Zn^{2+}$, $Ce^{3+}$, $Mg^{2+}$, $K^+$ and $Na^+$ had no such color change and have no significant influence on $Cu^{2+}$ recognition process. The interaction of $Cu^{2+}$ and sensor 1 was proven to adopt a 1:1 binding stoichiometry and the recognition process is reversible.

• 동아시아식생활학회지
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• 제27권1호
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• pp.9-16
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• 2017

This study investigated recognition of food labeling of high school students (males 94 and females 85) in Yongin region. Recognition of food labeling was very high at 81.6%. For checking food labeling at the time of purchasing, 53.6% of the respondents always checked and the main reason was healthier food choice (49.2%). Satisfaction of food labeling was very low at 18.4%. In spite of very low satisfaction, 70.9% of respondents recognized necessity for education of food labeling. In terms of education method, respondents preferred 'school lecture' the most with 48.6%, which are in the following order: TV/newspaper/journal/book (37.4%) > internet lecture (10.1%) > education from parents (3.9%). Moreover, 83.2% of respondents answered 'positive change (ex. checking food labeling)' after getting education. Consequently, high school students had low level of utilization of food labeling at the time of purchasing. However, they showed high level of perception and educational need of food labeling as well as possibility of positive change after receiving education. Therefore, appropriate school education for food labeling may be able to lead a healthy eating habit of high school students.

• 전기학회논문지
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• 제63권6호
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• pp.797-803
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• 2014

In this paper, 3D face recognition system is designed by using polynomial based on RBFNNs. In case of 2D face recognition, the recognition performance reduced by the external environmental factors such as illumination and facial pose. In order to compensate for these shortcomings of 2D face recognition, 3D face recognition. In the preprocessing part, according to the change of each position angle the obtained 3D face image shapes are changed into front image shapes through pose compensation. the depth data of face image shape by using Multiple Point Signature is extracted. Overall face depth information is obtained by using two or more reference points. The direct use of the extracted data an high-dimensional data leads to the deterioration of learning speed as well as recognition performance. We exploit principle component analysis(PCA) algorithm to conduct the dimension reduction of high-dimensional data. Parameter optimization is carried out with the aid of PSO for effective training and recognition. The proposed pattern classifier is experimented with and evaluated by using dataset obtained in IC & CI Lab.

• 전자공학회논문지CI
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• 제43권3호
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• pp.30-38
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• 2006

본 논문에서는 스테레오 얼굴영상으로부터 3차원 정보인 거리와 깊이 정보를 이용해 거리에 따라 얼굴인식률이 떨어지는 것을 개선하였다. 단안 영상은 객체의 거리, 크기, 이동, 회전, 깊이 등의 불확실한 정보로 인해 인식률이 떨어지는 문제점이 있다. 또한 얼굴의 회전, 조명, 표정변화 등의 영상정보가 취득되지 않으면 인식률이 매우 저하되는 단점이 있다. 그래서 본 연구는 이와 같은 문제점을 해결하고자 한다. 제안된 방법은 눈 검출 알고리듬, 얼굴의 회전 방향분석, PCA(Principal Component Analysis)로 구성된다. 또한 제한된 영역에서 얼굴을 고속으로 검출하기 위해 RGB컬러공간에서 YCbCr공간으로 변환한다. 얼굴후보 영역에서 다층 상대적인 밝기 맵을 생성하여 얼굴의 기하학적인 구조로부터 얼굴인지를 판별한다. 스테레오 얼굴영상으로부터 거리 및 눈과 입의 깊이 정보를 취득하고, 거리에 따라 확대, 축소, 이동, 회전 등의 정규화를 통해 $92{\times}112$ 크기의 얼굴을 검출한다. 검출된 왼쪽 얼굴영상과 추정된 방향의 차를 PCA로 학습한다. 제안된 방법은 정면에서 최대 95.8%(100cm), 포즈변화에 따라 98.3%의 인식률을 얻을 수 있었다. 따라서 실험을 통하여 제안된 방법은 거리에 따라 확대, 축소와 회전 등의 정확한 정규화로 높은 인식률을 얻을 수 있음을 보였다.

• 한국의류학회지
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• 제34권9호
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• pp.1415-1428
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• 2010

Modernity in costumes is analyzed as the preference of change and novelty, the formation of the masses, and the aspect of function, which is transplanted by western modernization. However, it is seem that the factor of modernity in Japanese traditional costume history. This study examines the Proto-modernity in Japanese traditional costume history. First, this study examines the term 'Imamekashiki' which means the present time. Because of the recognition of every present time arises from the recognition and the preference of change and novelty. In the pre-modem Era, this study examines the masses formed by the publication and the play, Kabuki. This study provides an alternative answer to understanding what is to 'wear clothes' for Japanese people.

• 한국자동차공학회논문집
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• 제19권3호
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• pp.16-22
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• 2011

This paper presents the potential of in-vehicle data recorder system for monitoring aggressive driving patterns and providing feedback to drivers on their on road behaviour. This system can detect 10 risky types of drivers' driving patterns such as aggressive lane change, sudden brakes and turns with acceleration etc. Vehicle dynamics simulation and vehicle road test have been performed in order to develop driving pattern recognition algorithms. Recorder systems are installed to 50 buses in a single company. Drivers' driving behaviour are monitored for 1 month. The drivers' risky driving data collected by the system are analyzed. Aggressive lane change in 50km/h below is a cause in overwhelming majority of risky driving pattern.