• 한국문헌정보학회지
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• 제17권
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• pp.85-103
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• 1989

The purpose of this second one of the two consecutive papers, which carried out for the research, is to evaluate their relative effectiveness regarding instruction with such three presentation methods as video/print+ lecture, print/video, print+lecture/video, with which the library of Duk Sung Women's University applied already for the orientation of the freshmen in 1988. In sum, the major research findings are as follows : First, as the more numerous media were applied for the orientation, the instruction were more effective. Second, it is very interesting to find out that there were wide differences in effectiveness among the three presentation methods applied for the student. Especially, the print+ lecture/video method was more effective in the instruction than the print/video method. Surprisingly, the video/print + lecture method was much more effective than the print+ lecture/video method. With the research findings of this two consecutive papers into consideration, it seems safe to say that the video-tape method was most effective among such three orienting methods as lecture, slide-tape, and video tape, and the video/print+lecture method was most effective among such three presentation methods as video/print+lecture, print/video, and print+lecture/video.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2006년도 가을 학술발표논문집 Vol.33 No.2 (A)
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• pp.48-52
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• 2006

The palm print recognition is the most reliable authentication method in the biometrics. In this paper, using the efficient segmentation of the palm print region we propose the method of enabling the palm print recognition as the same method applicable to the finger print recognition. To achieve this, we propose the image processing procedures of the palm print segmentation and the feature extraction. We compare the matching result after extracting the features for the finger print and the palm print.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2003년도 하계학술대회 논문집 Vol.4 No.2
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• pp.1163-1167
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• 2003

As a PD classification method, statistical distribution parameters have been used during several ten years. And this parameters are recently finger print method, NN(Neural Network) and etc. So in this paper we studied finger print method and NN with BP(Back propagation) learning algorithm using the statistical distribution parameter, and compared with two method as classification method. As a result of comparison, classification of NN is more good result than Finger print method in respect to calculation speed, visible effect and simplicity. So, NN has more advantage as a tool for PD classification.

• 한국인쇄학회지
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• 제27권1호
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• pp.15-27
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• 2009

Since domestic offset print quality control depends on the experience of persons in charge rather than objective data, the standards from the data are needed for the well-organized quality management of high-quality prints. Based on the ISO standards, now the standard specifications, such as GRACoL 7, SWOP 11, SNAP, G7 in America, and EURO Color, ECI, BVDM in Europe, and Japan Color 2001, Japan Color 2004 in Japan, are employed. There exists KS for domestic standards. However, since it has been directly imported from ISO Standards, there are discrepancies in printing materials and media. Although the quality management of commercial prints has been focused and studied. For this circumstance, standards are needed for the production of prints to meet international standards. This paper aims to find out suitable ways to approach domestic printing standards using densitometric method and colorimetric method. Printing experiments on this study were performed with domestic process color inks(Cyan, Magenta, Yellow, Black) and domestic coated papers, under the same conditions as the actual commercial printing processes. In densitometric method, how to set up the optimal solid print density was studied through three tests such as the ways to match solid print density and print contrast to GRACoL standards respectively, and the way to get the highest contrast. In colorimetric method, how to get solid print density with the minimum color difference between the $CIEL^*a^*b^*$ color specification values in GRACoL standards and the measured color specification values in prints, was studied.

• 반도체디스플레이기술학회지
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• 제19권4호
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• pp.59-64
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• 2020

In this paper, we found the solution using data based machine learning regression method to check the pore shape, to solve the problem of the experiment quantity occurring when producing scaffold with the 3d printer. Through experiments, we learned secured each print condition and pore shape. We have produced the scaffold from scaffold pore shape defect prediction model using multiple linear regression method. We predicted scaffold pore shapes of unsecured print condition using the manufactured scaffold pore shape defect prediction model. We randomly selected 20 print conditions from various predicted print conditions. We print scaffold five times under same print condition. We measured the pore shape of scaffold. We compared printed average pore shape with predicted pore shape. We have confirmed the prediction model precision is 99 %.

• 한국정보통신학회논문지
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• 제16권10호
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• pp.2177-2184
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• 2012

실내 위치인식 방법은 GPS 기반의 실외 위치인식 방법과 비교하여 보다 높은 정확도를 요구하며 그 중요성 또한 증가하고 있다. FingerPrint 위치인식 방법은 데이터베이스에 참조변수의 수신신호패턴을 미리 저장하고, 단말기의 실시간 측정 신호를 매칭시킴으로써 단말의 위치를 추정하는 뛰어난 실내 위치인식 방법이다. FingerPrint 위치인식 방법에서는 정확한 데이터베이스 구축이 요구되지만 여러 가지 요인에 의하여 오차가 발생할 수 있다. 본 연구에서는 접근 지점의 연결여부에 따른 각 단말기의 수신신호 패턴을 분석하여, 접근 지점의 연결 여부에 따른 오차가 FingerPrint DB 구성의 중요한 오차 요인이 될 수 있음을 실험을 통하여 밝힌다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 하계학술대회 논문집 G
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• pp.2249-2251
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• 1998

This paper presents a lip print recognition by the pattern kernels for a personal identification. A lip print recognition is developed less than the other physical attribute that is a fingerprint, a voice pattern, a retinal blood-vessel pattern, or a facial recognition. A new method by the pattern kernels is pro for a lip print recognition. The pattern kerne function consisted of some local lip print p masks. This function identifies the lip print known person or an unknown person. The results show that the proposed algorithm the pattern kernels can the efficiently realized.

• Journal of Oral Medicine and Pain
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• 제8권1호
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• pp.107-120
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• 1983

The Author had tried to classify lip print patterne of 380 persons aged from 3 to 71 for detecting possibility of individual identification. The results were as follows: 1. The incidency of lip print patterne by means of the Tsuchihashi modifiation method was high in type I, type Ⅱ,typeⅢ,type I`, typeⅣ, typeⅤ, respectively. 2. Any of lip print had no same shape. 3. No same shape of lip print was found even family members. 4. The shapes of lip prints were unchangeable in the period of 5 months.

• 한국콘텐츠학회논문지
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• 제12권12호
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• pp.517-523
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• 2012

생체인식(biometrics)은 인간이 갖는 신체적 특징을 활용하여 개인을 식별하는 연구로, 비밀번호나 ID카드 등의 전통적인 개인 식별 방법을 대체하거나 보완할 수 있는 방법으로 많은 관심을 받고 있다. 생체인식의 대상 중 손가락 관절문은 지문, 홍채, 귀, 장문에 비하여 비교적 최근에 연구가 시작되었다. 본 논문은 그레이디언트 방향 특징을 이용하여 손가락 관절문을 효과적으로 인식하는 방법을 제안한다. 손가락 관절문의 주요 특징은 주름의 크기와 방향으로, 이러한 특징을 안정적으로 획득하기 위하여 불균일한 조명과 낮은 대비를 개선하는 전처리를 수행한 후 그레이디언트의 방향 정보를 추출하여 특징벡터를 구성하였다. 제안된 방법의 성능을 측정하기 위하여 158명으로부터 획득한 총 790개 손가락 관절문 영상을 대상으로 실험을 수행하였다. 실험 결과 99.69%의 인식률을 얻었으며, 기존 관련 연구에 비하여 1.882라는 높은 결정계수를 보여 제안된 방법이 손가락 관절문 인식에 효과적임을 확인하였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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• pp.64-69
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• 1998

This paper presents a lip print recognition by the pattern kernels for a personal identification. A lip print recognition is developed less than the other physical attributes of a fingerprint, a voice pattern, a retinal blood/vessel pattern, or a facial recognition. A new method is proposed to recognize a lip print bi the pattern kernels. The pattern kernels are a function consisted of some local lip print pattern masks. This function converts the information on a lip print into the digital data. The recognition in the multi-resolution system is more reliable than recognition in the single-resolution system. The results show that the proposed algorithm by the multi-resolution architecture can be efficiently realized.