• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2003.11a
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• pp.1381-1385
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• 2003

본 연구에서는 이미지 분석기법으로부터 측정된 표면섬유과 가와바타 측정법에 의해 측정된 직물의 표면특성과 주관적 거칠기, 따뜻함간의 관계를 고찰하였다. 시료로는 춘추용 수트직물로 사용되는 평직과 능직의 소모직물 32종을 사용하였다. 표면섬유의 분석을 위해서 이미지 분석장치로부터 촬영된 직물 표면 이미지로부터 단위길이의 직물안에 들어가는 표면섬유의 총길이(Fiber Aggregate Length)가 측정되었다. 직물의 주관적 평가를 위해 일관성 테스트와 평가능력 향상 훈련을 마친 20명 패널을 대상으로 기준직물을 제시한 9 의미미분척도를 사용하여 직물의 거칠기와 따뜻함에 대해 평가하였다. 직물의 표면섬유와 주관적인 거칠기, 따뜻함간의 상관성이 분석되었고, 직물의 표면 특성, 표면섬유로부터 직물의 감각을 판별하는 판별식을 도출하였다.

• Korean Journal Plant Pathology
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• v.12 no.2
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• pp.202-208
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• 1996

1986년부터 1992년까지 전라북도와 경상남도에서 수집된 벼 흰잎마름병균 66균주를 국내의 4 판별품종에 대한 병원성을 조사한 결과, K1 균형이 18(27.3%) 균주, K2 균형이 2(3.0%)균주, K3 균형이 18(27.3%) 균주가 분리되었다. 그러나 K4는 발견되지 않았으며 2균주는 균형을 분류할 수 없었다. 이들 2균형은 5종류의 일반계 품종에 대한 병원성에 따라 19종류의 group으로 세분되었다. 국내 벼 흰잎마름병 균주는 일본이나 IRRI 판별품종과 동일한 유전자를 갖는 NIL로 균형이 분류되지 않는 균주가 각각 63.6%, 57.6%나 되어, 국내 벼 흰잎마름병균은 일본 및 IRRI 균형과 비교하기가 곤란하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.568-570
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• 2022

객체 유사도를 판별하는 기술은 정보 처리의 여러 분야에서 응용되고 있다. 본 연구에서는 현장 자연어 텍스트 데이터셋과 딥러닝 모델을 이용하여 챗봇 등에서 응용되는 데이터 유사성을 판별하고, 해당 모델의 성능을 측정해보았다.

• Proceedings of the Korean Society of Embryo Transfer Conference
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• 2004.10a
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• pp.79-80
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• 2004

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.662-672
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• 2017

Recently, with the development of mobile devices and near field communication, mobile P2P networks have been actively studied to improve the limits of the existing centralized processing system. A peer has limited components such as batteries, memory and storage spaces in mobile P2P networks. The trust of a peer should be discriminated in order to share reliable contents in mobile P2P networks. In this paper, we propose a trust discrimination scheme considering limited resources in mobile P2P environments. The proposed scheme discriminates the trust of a peer by direct rating values using the rating information of the peer and indirect rating values by the other peers. The recent update time is included in the rating information. The proposed scheme reduces the redundant rating information by comparing the recent update times of the rating information. It is shown through performance evaluation that the proposed scheme reduces the number of messages and improves the accuracy of trust over the existing scheme.

• The KIPS Transactions:PartB
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• v.12B no.2 s.98
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• pp.123-130
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• 2005

In this paper, fingerprint identification algorithm using pixel direction factor in blocks is proposed to minimize false acceptance ratio and to apply security system. The proposed algorithm is that a fingerprint image is divided by 16 blocks, then feature parameters which have direct factors of $0^{\circ},\;45^{\circ},\;90^{\circ}\;and\;135^{\circ}$ is extracted for each block. Membership function of a reference fingerprint and an input fingerprint for the extracted parameters is calculated, then identification of two fingerprint is distinguished using fuzzy inference. False acceptance ratio is evaluated about different fingerprints of In kinds regardless of sex and shape which are obtained from adults, and false rejection ratio is evaluated about fingerprints which are obtained by adding fingerprints of 10 kinds on different fingerprints of 100 kinds. The experiment results is that false acceptance ratio is average $0.34\%$ about experiment of 4,950 times, and false rejection ratio is average $3.7\%$ about experiment of 1,000 times. The proposed algerian is excellent for recognition rate and security.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.2
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• pp.69-81
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• 2010

A Cold Cathode Fluorescent Lamp(CCFL) is used as a LCD Monitor's backlight widely. The most common way to check CCFL's defects is an examination with the naked eye. This naked eye examination can cause an examination inconsistency and an industrial disaster. To examine CCFL defects, a shooting equipment and a defect detection algorithm are necessary. This paper shows the shooting environments for checking CCFL and presents some CCFL defect detection algorithms. As a result of experiments, our implementations showed 98.32% of successful defect detection of CCFL.

• Journal of Gifted/Talented Education
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• v.21 no.2
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• pp.427-447
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• 2011

This research looked into the recognitions of a teacher's discernment & recommendations of gifted elementary students targeting 184 elementary school teachers in Seoul district and compared and contrasted their awareness in order to confirm whether there existed a difference in the discernment of gifted elementary students according to their awareness level of professionalism in gifted and talented education. The research results are as follows: There appeared a significant difference in teachers' recognitions level of professionalism in gifted education according to their experience relevant to a gifted elementary student. The teachers, in the process of observations & nominations of gifted elementary students, pointed out creativity, learning motive and attitude as the highest judging standard and also regard such elements as discerning criteria of gifted students. In the process of observations & nominations of gifted elementary students, it was found that teachers' recognitions of importance of discerning criteria of gifted elementary students in relation to parents or fellow teachers' recommendations appeared relatively lower than their recognitions of importance in relation to learning ability, creativity, learning motive and attitude. The research results showed that a group of teachers, who have a high recognitions level of the professionalism in gifted education in the process of observations & nominations of gifted students, perceive the realm of creativity, learning motive, and attitude as more important. This suggests the necessity of elevating teachers' awareness level of professionalism in gifted and talented education in order to discern high-quality gifted students in the process observations & nominations of gifted elementary students putting emphasis on the realm of creativity, learning motive, and attitude.

• Journal of Korea Technology Innovation Society
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• v.14 no.3
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• pp.664-688
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• 2011

This study aims to explore the variables which determine performance of inter-firm R&D cooperation. As the dependent variable is categorical - whether the new product developed by the inter-firm cooperation were sold or not-and the independent variables were interval, discriminant analysis was used. The independent variables were composed of degree of inter-firm cooperation, experience of cooperation, market attractiveness, R&D intensity, resources and competences of enterprise and efficiency of government support. A total of 144 responses were obtained. The results indicate that the degree or inter-firm cooperation is the best predictor of the performance, followed by market attractiveness, R&D intensity and resources/competences of enterprises. Whereas, the experience of cooperation and efficiency of government support program were not statistically significant predictors. The hit ratio or the percentage of cases correctly classified was 66.2%. We derived several implications of these findings in an effort to guide subsequent inquiry.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2001.11a
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• pp.259-262
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• 2001

산화성 물질은 소방법상 위험물 제1류 및 제6류에 속하여 있는 것으로서, 그 위험성은 산화성 물질 단독으로 또는 가연물과 혼합에 의해서 폭발성 또는 폭발적 연소성을 갖는 물질로서, 이를 위한 위험성 평가는 현재 국내의 소방법으로 규정하고 있는 위험물에 대한 연소 및 반응위험성과 같은 제반 위험성을 판별하는 기준이 없어 이를 위한 체계적인 시험법의 요구가 필요한 것이다. 따라서, 본 연구는 국내 소방법 중 위험물 제1류로 구분되고 있는 산화성고체에 대한 연소위험성을 평가하기 위한 보다 체계적이고 재현성 있는 판별 기준을 제시하여 보고자 하였으며, 이를 통하여 기준 시험법의 정립을 기하기 위한 기술자료로서 활용하여 보고자 하였다.(중략)