• Mycobiology
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• 제39권4호
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• pp.299-300
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• 2011

Two species of cultivated Phellinus sp. were identified as P. baumii by internal transcribed spacer (ITS) sequence analysis. The fruit bodies of the examined strains were similar to those of naturally occurring strains, having a bracket-like form, yellow-to-orange color, and poroid hymenial surfaces. The DNA sequences of ITS region of both strains showed a homology of 99% with ITS1 to ITS2 sequences of P. (Inonotus) baumii strain PB0806.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 1999년도 가을 학술발표논문집 Vol.26 No.2 (2)
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• pp.398-400
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• 1999

본 논문에서는 저항 생산 과정에서 실제저항값과 칼라 코드값이 잘못 표기되는 경우에 이를 검사.인식하는 시스템에 이용할 수 있는 알고리즘을 제안한다. 본 알고리즘에서는 칼라 영상에서의 효과적인 경계선 추출 방법과 칼라 영상의 명암도 변화 차이를 이용한 저항의 칼라 코드 영역 추출법, 그리고 역전파 알고리즘을 이용한 칼라 코드 판별법이 제시된다.

• 산업공학
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• 제9권1호
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• pp.63-71
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• 1996

A wire harness is an assembly cables and/or wires to transmit signals between electronic assemblies in automobiles and electronic appliances. Inspection of such a wire harness is to check the sequence of assembled cabled each of which is identified by its own color. This paper presents an automated visual inspection system for wire harnesses incorporating back-propagation neural network as a color identification device. The tests performed by using real test specimens show that the inspection system works well enough.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권2호
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• pp.775-792
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• 2015

Person re-identification is an important and challenging task in computer vision with numerous real world applications. Despite significant progress has been made in the past few years, person re-identification remains an unsolved problem. This paper presents a novel appearance-based approach to person re-identification. The approach exploits region covariance matrix and color histograms to capture the statistical properties and chromatic information of each object. Robustness against low resolution, viewpoint changes and pose variations is achieved by a novel signature, that is, the combination of Log Covariance Matrix feature and HSV histogram (LCMH). In order to further improve re-identification performance, third-party image sets are utilized as a common reference to sufficiently represent any image set with the same type. Distinctive and reliable features for a given image set are extracted through decision boundary between the specific set and a third-party image set supervised by max-margin criteria. This method enables the usage of an existing dataset to represent new image data without time-consuming data collection and annotation. Comparisons with state-of-the-art methods carried out on benchmark datasets demonstrate promising performance of our method.

• 사상체질의학회지
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• 제27권4호
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• pp.379-387
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• 2015

Objectives The purpose of this study was to investigate the relevance of Sasang constitution, Qi Blood pattern identification, and tongue diagnosis in subjects complaining of fatigue.Methods Seventy-three subjects who complained of fatigue were assessed using the Chalder Fatigue Scale, tongue diagnosis, pattern identification questionnaire and Sasang constitution diagnosis. The association of tongue diagnosis with Qi Blood pattern identification and Sasang constitution was evaluated.Results 1. There was no significant association between tongue diagnosis and Sasang constitution.2. Tongue color, which is one of the diagnostic indicators in tongue diagnosis, was redder in the Qi stagnation group than in the Qi deficiency and Blood deficiency groups.Conclusions Tongue diagnosis can be utilized in future if proper research regarding Sasang constitution and Sasang constitution pattern identification is conducted.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -2
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• pp.1252-1255
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• 2002

In this paper, face recognition algorithm, by using skin color information of HSI color coordinate collected from face images, elliptical mask, fratures of face including eyes, nose and mouth, and geometrical feature vectors of face and facial angles, is proposed. The proposed algorithm improved face region extraction efficacy by using HSI information relatively similar to human's visual system along with color tone information about skin colors of face, elliptical mask and intensity information. Moreover, it improved face recognition efficacy with using feature information of eyes, nose and mouth, and Θ1(ACRED), Θ2(AMRED) and Θ 3(ANRED), which are geometrical face angles of face. In the proposed algorithm, it enables exact face reading by using color tone information, elliptical mask, brightness information and structural characteristic angle together, not like using only brightness information in existing algorithm. Moreover, it uses structural related value of characteristics and certain vectors together for the recognition method.

• 대한산업공학회지
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• 제26권2호
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• pp.146-154
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• 2000

This study showed a way to develop web site of shopping mall through systematic identification of the interface elements affecting user's performance and subjective sensibility for Internet shopping mall. To quantify the effects of factors, simulators were designed and used in experiments. It was shown that location of 'Table of Contents'(left > right = up = down) and 'Menu' type(non_Drop down and page Movement = Drop down and page Movement > Drop down and non_age Movement) were the significant factors. However, whether 'Frame' was used or not, there was no significant difference. Also, in the evaluation of subjective sensibility, 'Background color' was a significant factor. And for 'Header & Scanning Column color', yellow color had a tendency to enhance satisfaction for 'simplicity', while green or blue color strengthened 'balance' feeling. But 'text style' was not significant.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권12호
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• pp.3149-3165
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• 2013

Content based image retrieval is increasingly gaining popularity among image repository systems as images are a big source of digital communication and information sharing. Identification of image content is done through feature extraction which is the key operation for a successful content based image retrieval system. In this paper content based image retrieval system has been developed by adopting a strategy of combining multiple features of shape, color and relevance feedback. Shape is served as a primary operation to identify images whereas color and relevance feedback have been used as supporting features to make the system more efficient and accurate. Shape features are estimated through second derivative, least square polynomial and shapes coding methods. Color is estimated through max-min mean of neighborhood intensities. A new technique has been introduced for relevance feedback without bothering the user.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1993년도 하계학술대회 논문집 A
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• pp.418-420
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• 1993

In this paper, we proposed a new FMS Landmark recognition algorithm using color images. Firstly, a NTSC image fame is captured, and then it is converted to a field image in order to reduce the image blurring from the AGV motion. Secondly, the landmark is detected via the comparison of the color vectors of image pixels with the landmark color. Finally, the identification of FMS landmark is executed using a newly designed landmark pattern with a set of reference points. The landmark pattern is normalized against its translation, rotation, and scaling. And then, its vertical projection data are fisted for the pattern classification using the standard data set. Experimental results show that our scheme performs well.

• 한국축산식품학회지
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• 제24권4호
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• pp.355-360
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• 2004

본 연구는 축우의 모색발현에 관여하는 MC1R, MGF 및 TYRP1 3종류의 모색 유전자의 PCR-RFLP marker를 이용하여 쇠고기 품종 판별기술을 개발하고자 수행하였다. MC1R 유전자의 104번째 아미노산을 지정하는 codon에 GGT 염기를 갖고 있는 Holstein 젖소와 Angus 육우는 제한효소 인지부위가 존재하여 537 bp증폭산물이 절단되어 329와 208bp 두개의 band가 검출되었으나 한우에서는 GTG로 G 염기가 T염기로 치환됨으로써 제한효소 인식부위가 소실되어 537 bp의 단일 bind 만이 검출되었다. 따라서, 이처럼 MC1R 모색유전자의 품종 간 특정 염기서열의 차이가 곧 특정 제한효소의 염기 서열상의 인지 부위 차이를 가져와 한우와 Holstein 젖소 및 Angus 육우 품종간의 RFLP 유전자형 출현에 확실한 차이가 인정되어 한우 품종에 특이적인 MC1R 유전자의 RFLP marker를 이용한 한우육 판별이 가능하였다. 또한, MGF 유전자의 RFLP 유전자형 출현빈도에서 한우는 r/r형이 75％로 출현율이 매우 높은 유전자형으로 분석된 반면 Hereford종은 R/R 형이 80％로 출현율이 매우 높았고 Holstein종과 Angus종은 R/r형이 100％ 출현함으로써 한우와 Holstein 및 수입육우 품종간의 MGF 유전자형 출현빈도에 뚜렷한 차이가 인정되었다. 한편, TYRP1 유전자의 RFLP유전자형을 분석한 결과 모든 품종에서 동일한 RFLP type이 검출되어 TYRP1 모색 유전자를 이용한 쇠고기 품종 구별은 불가능한 것으로 나타났다. 따라서, 소 모색 관련 MC1R과 MGF 두 유전자의 품종 특이적 PCR-RFLP 유전자형은 한우육과 국내산 Holstein젖소고기 및 Angus 수입육간의 품종을 식별하는데 매우 유용한 DNA marker로 이용될 수 있음이 확인되었다.