• Journal of the Korean Society of Marine Environment & Safety
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• v.12 no.4 s.27
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• pp.253-259
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• 2006

This paper investigated on anti-corrosion characteristic in chemical decontamination at extremely severe condition{process model-2) of stainless steels used with reactor coolant pump. The electrochemical properties of stainless steel{STS) 304 with the lapse qf cycle is better than those of STS 415 and STS 431. The STS 304 in process model-1 and process model-2 present the lowest weightloss ratio. The experiment results for STS 304, STS 415, and STS 431 in process model-2 solution, it was ascertained that weightloss ratio of process model-2 solution for process model-1 solution show 2..908, 2.572, and 2.370 times, respectively. The reason suggests that process model-2 is higher concentration of chemical and temperature compare to process model-1.

• The Journal of the Acoustical Society of Korea
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• v.35 no.2
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• pp.83-91
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• 2016

Music-similarity computation is crucial in developing music information retrieval systems for browsing and classification. This paper overviews the recently-proposed centroid-model based music retrieval method and applies the distributional similarity measures to the model for retrieval-performance evaluation. Probabilistic distance measures (also called divergence) compute the distance between two probability distributions in a certain sense. In this paper, we consider the alpha divergence in computing distance between two centroid models for music retrieval. The alpha divergence includes the widely-used Kullback-Leibler divergence and Bhattacharyya distance depending on the values of alpha. Experiments were conducted on both genre and singer datasets. We compare the music-retrieval performance of the distributional similarity with that of the vector distances. The experimental results show that the alpha divergence improves the performance of the centroid-model based music retrieval.

• Proceedings of the ESK Conference
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• 2004.10a
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• pp.22-22
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• 2004

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2004.06a
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• pp.436-436
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• 2004

사용후 연료 건식 저장 용기가 낙하, 토네이도, 미사일, 홍수 및 지진으로 인한 사고에 대하여 전복이 발생되었을 때 강체 평면과 충돌에 의한 충돌 하중시의 구조 응력 평가하였다. 이를 위해 저장 용기의 무게 중심이 한계를 넘었을 때의 초기 전복 시작각을 무게 중심을 계산을 통해 구하였다. 상용 코드를 사용하여 전복 응력 해석 수행시 저장 용기의 강체 운동에 의하여 계산 시간이 길어지는 데, 이런 계산 시간을 줄이기 위해 일차 충돌 직전까지의 모델의 속도와 각속도 계산식을 이론적인 방법으로 구하여 해석 초기 조건으로 사용하는 방법에 대하여 제안하였다.(중략)

• Science of Emotion and Sensibility
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• v.7 no.2
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• pp.149-155
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• 2004

This research focus on analyzing the quality of clothing product in view of consumer's sensibility trend with a emphasis on measuring objective quality of pruduct. The fuzzy logic-based multi attribute model has been developed in order to evaluate the quality of clothing product. The overall quality of a clothing products can be divided into two distinct terms, product quality and brand value. Those two values are further analyzed with a relation to human sensibility.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.11a
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• pp.157-159
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• 2002

패션트렌드와 소비자감성에 적합한 패션소재를 기획, 선정하는데 도움을 주는 컴퓨터 기반의 의사 결정시스템이 개발되었다. 패션소재로서의 유용성을 결정하는 속성을 두께, 무게, 밀도, 광택, 색상등으로 한정한 후 다속성 모델을 구축하였다. 각 속성들의 가중치는 의류 매장의 방문객 대상의 설문 조사에 의해 결정되었으며, 한 소재의 최조 가치는 퍼지 추론 시스템에 의해 계산되었다. 구축된 “퍼지-다속성” 모델을 이용하여 패션소재의 총 가치를 i) 품질로부터의 가치, ii) 품질을 기반으로 부가되는 가치, iii) 품질과는 무관하게 형성되는 브랜드 가치의 세가지 요소롤 분해하였다. 시중의 유명 스포츠 의류 브랜드 2종을 선정하여 위의 모델을 적용하였다. 위의 모델은 컴퓨터 시스템으로 개발되어, 특정 소재의 기본정보가 입력이 되면 그에 해당하는 감성정보로 변환되는 소재 평가 시스템과 역으로 원하는 감성 어휘를 입력하면 그에 해당하는 소재를 제안하는 소재 기획 시스템의 독립적인 두 요소로 구성된다.

• Journal of the Korean Society of Food Science and Nutrition
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• v.45 no.3
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• pp.321-326
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• 2016

The objective of this study was to obtain data on safety-in-use of yeast hydrolysate with a molecular weight of 10~30 kDa as a dietary supplement by assessing its subacute oral toxicity in ovariectomized rats. Yeast hydrolysate did not produce mortality or significant changes in general behavior or gross appearance of internal organs of rats. There were no significant differences in organ weights between control and yeast hydrolysate groups. Hematological analysis and blood chemistry revealed no toxic effects of yeast hydrolysate. Neither gross abnormalities nor histopathological changes were observed. These results show that yeast hydrolysate possesses very low toxicity as indicated in a postmenopausal animal model.

• Proceedings of the KIEE Conference
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• 2005.07b
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• pp.1135-1137
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• 2005

단위 무게당 추력특성이 다른 전동기에 비해 우수한 것으로 나타나 있는 횡축형 선형전동기에 대한 연구가 많이 진행되고 있다. 본 논문에서는 횡축형 선형 전동기의 동적 시뮬레이션을 수행할 수 있는 시뮬레이션 모델을 개발하였다. 전동기의 설계단계에서는 주로 정적인 특성만을 고려하여 설계가 진행되지만, 이렇게 설계된 전동기는 실제 실험 결과와 설계 명세간의 차이가 많이 발생하는 경우가 있다. 본 논문에서 개발된 동적 시뮬레이션 모델을 이용한 결과를 설계 단계에서 적용한다면 좀 더 실제적인 전동기 설계를 할 수 있을것으로 기대된다. 또한 제작된 전동기의 성능 평가를 하는 경우 성능의 기준으로 활용할 수 있을 것으로 생각된다.

• Korean journal of communication and information
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• v.66
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• pp.110-132
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• 2014

This study attempts to redefine the concept of 'fairness' of Korean public broadcasting and tries to build a new model for evaluating the fairness of Korean public broadcasting. The author insists that the fairness in public broadcasting consists of binary components of the public and rightful reporting, and views that the public reporting represents of neutralness, balance and impartiality while the rightful reporting represents of factuality, multiplicity and the protection of social minorities. The author suggests that two criteria of the public and rightful reporting results in four models of 'shepherd', 'acrobat', 'tribune', and 'trumpeter' in accord with its focus on the public and the rightful reporting. Survey toward the professionals in public broadcasting in academia was conducted and addressed the fact that Korean public broadcasting is close to the trumpeter model with some feature of acrobat.

• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.27-36
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• 2022

In this paper, to improve the conditions of the fish processing site, we propose a method to predict the cutting point of fish according to the target weight using AI machine vision. The proposed method performs image-based preprocessing by first photographing the top and front views of the input fish. Then, RANSAC(RANdom SAmple Consensus) is used to extract the fish contour line, and then 3D external information of the fish is obtained using 3D modeling. Next, machine learning is performed on the extracted three-dimensional feature information and measured weight information to generate a neural network model. Subsequently, the fish is cut at the cutting point predicted by the proposed technique, and then the weight of the cut piece is measured. We compared the measured weight with the target weight and evaluated the performance using evaluation methods such as MAE(Mean Absolute Error) and MRE(Mean Relative Error). The obtained results indicate that an average error rate of less than 3% was achieved in comparison to the target weight. The proposed technique is expected to contribute greatly to the development of the fishery industry in the future by being linked to the automation system.