• 대한용접접합학회:학술대회논문집
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• 대한용접접합학회 1999년도 특별강연 및 춘계학술발표대회 개요집
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• pp.134-137
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• 1999

• 한국의류산업학회지
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• 제10권1호
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• pp.92-100
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• 2008

When designing protective clothing, there are something to be considered such as physiological feature of human body, acting range not to restrict physical activity, and effectiveness of material. Because the primary objective of protective clothing is to protect human body from danger and it is designed through complex designing process not likely general clothing design. However, current evaluation techniques-such as the ISO, the ASTM and the CEN, and KS-provide only the standard to evaluate the primary feature of material (testing, performance requirements, material specification, selection and application, test and care, and so on). There are no standard to evaluate influence for the human body while protective clothing put on. Especially, in Korea, there is KS to evaluate protective clothing, but it is partially translated version from ISO because of lack of core technology about this field. However, developed countries recognize it is new competitive means in the time of Global Standards and they are competing to make their own standard to global standard for the protective clothing. Therefore, it can be great opportunity for Korean clothing and textile industry to revitalize if focusing on research and development for protective clothing design based on physical activity of human body, fit evaluation technique and sizing which is currently no global standard for it and developing our standard to global standard.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2008년도 추계 학술발표회 제20권2호
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• pp.993-996
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• 2008

콘크리트 구조물 설계에 사용되는 콘크리트 압축 응력블럭은 실제 응력분포를 등가의 삼각형, 직사각형, 사다리꼴 또는 포물선-직선 등 여러 형태로 나타낸 것이다. 이러한 콘크리트의 압축 응력블럭은 주요 선진국의 설계기준마다 그 형태가 조금씩 다르며, 각 나라 콘크리트의 재료적 특성을 반영하여 적용하고 있다. 현재, 우리나라 콘크리트 설계기준에 적용하고 있는 직사각형 압축 응력블럭은 ACI 설계기준과 동일한 형태이고, 이는 고강도 콘크리트의 재료적 특성을 반영하지 못하여 비합리적 이라는 여러 연구결과가 발표되어왔다. 본 연구는 주요 선진국의 설계기준에 적용되는 콘크리트 압축 응력블럭에 대해 검토하였으며, 우리나라 콘크리트의 재료적 특성을 알기 위해 콘크리트 압축 응력블럭 실험을 실시하였다. 실험을 통해 하중 및 변형률을 얻었으며, 실험 결과에 의한 응력블럭계수를 도출하였다. 실험에 의한 응력블럭계수와 주요 선진국의 설계기준에 적용하는 응력블럭계수 값들을 비교.분석하였다. 또한, 주요 설계기준의 응력블럭에 따른 공칭 축력-모멘트 상관도를 비교 분석하였다.

• 한국멀티미디어학회논문지
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• 제19권10호
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• pp.1775-1781
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• 2016

Generally, in the underwater target recognition, feature vectors are extracted from the target signal utilizing spatial information according to target shape/material characteristics. In addition, various signal processing techniques have been studied to extract feature vectors which are less sensitive to the location of the receiver. In this paper, we synthesized active echo signals using 3-dimensional highlight distribution. Then, Fractional Fourier transform was applied to echo signals to extract signal features. For the performance verification, classification experiments were performed using backpropagation and probabilistic neural network classifiers based on single aspect and multi-aspect method. As a result, we obtained a better recognition result using proposed feature extraction and multi-aspect based method.

• Journal of Advanced Marine Engineering and Technology
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• 제23권5호
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• pp.622-629
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• 1999

This paper presents the development of an interactive knowledge-based CAM system for design-ing and manufacturing the mold. The system is composed of two functional parts. One is the geo-metric modeller that uses the feature-based models. The models include base plate step, hole, pocket, boss and slot, These are designed by interactive user interface. The other is the expert sys-tem module with inference engine and knowledge database of workpiece material tools manufac-turing machines process an working conditions. With two parts the final mold shape is generated with manufacturing information for effective production.

• 한국CDE학회논문집
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• 제6권4호
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• pp.222-228
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• 2001

In the milling operation, the burr can be generated on the intersection of cutting tool and workpiece. Due to burr formation, we expect lower efficiency in the operation and the cost increase. In order to understand the burr formation mechanism in the milling operation on the arbitrary feature, we developed an algorithm to analyse and predict the exit burr formation mechanism. Firstly, the recognition of arbitrary shaped workpiece was done through the CAD data. This data includes point information on the vertices of the workpiece. Secondly, tile CAM data regarding tool geometry, tool path, cutting speed, and material data are retrieved to simulate the actual cutting process. Thirdly, we predict the exit burr formation on the edge of workpiece based on the geometric analysis. Lastly, an algorithm implemented in the Windows environment to visualize the burr formation simulation. With this information, we can predict which portion of workpiece would have the exit burr in advance so that we call manage to find a way to minimize the edit burr formation in the actual cutting.

• 한국재료학회지
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• 제34권7호
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• pp.363-369
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• 2024

In this study, the magnetocaloric effect and transition temperature of bulk metallic glass, an amorphous material, were predicted through machine learning based on the composition features. From the Python module 'Matminer', 174 compositional features were obtained, and prediction performance was compared while reducing the composition features to prevent overfitting. After optimization using RandomForest, an ensemble model, changes in prediction performance were analyzed according to the number of compositional features. The R2 score was used as a performance metric in the regression prediction, and the best prediction performance was found using only 90 features predicting transition temperature, and 20 features predicting magnetocaloric effects. The most important feature when predicting magnetocaloric effects was the 'Fe' compositional ratio. The feature importance method provided by 'scikit-learn' was applied to sort compositional features. The feature importance method was found to be appropriate by comparing the prediction performance of the Fe-contained dataset with the full dataset.

• 디자인학연구
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• 제11권3호
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• pp.149-162
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• 1998

본 연구는 산업디자인에서 재료가 갖는 중요성을 살펴보고자 한 것이다. 제품계획이 디자인의 시작이라면 재료의 사용은 디자인을 완성시키는 마지막 단계라 말할 수 있다. 디자인 재료는 인류가 탄생되기 이전부터 존재해 왔으며 지금도 꾸준히 인간에 유용한 새로운 재료가 개발되고 있다. 우리 환경은 재료로 둘러싸여진 재료의 집합체라고 보아도 과언이 아닌데 재료는 물리적 특성과 함께 시·공간적이며, 문화적 특성을 지니고 있다. 또한 재료의 성질에 따라 각종 정보전달기능이 내포되어 있으며, 재료의 외부표면은 인간의 감각기관을 개발시키는 기능도 갖고 있다. 연구결과 나타난 디자인 재료의 4가지 문화적 특성을 살펴보면, 첫째 새로운 형태를 유도하는 기술적 진보 성, 둘째 커뮤니케이션 기능을 수행하는 상징성, 셋째, 표면효과를 개발시키는 감각적 속성, 넷째, 신소재, 신기술 등 미래를 확신시켜 주는 미래지향성 등이 있을 수 있다. 따라서 경재 력 있는 디자인을 수행하기 위해서 무엇보다도 재료와 디자인과의 조화. 구조와 가공, 그리고 재료가 갖는 실질적 의미를 파악하고 적절히 적용시키는 것이 중요하다. 왜냐하면 재료의 발견은 곧 미래디자인을 예측하는 척도가 될 것이기 때문이다.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2001년도 하계학술대회 논문집
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• pp.1100-1103
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• 2001

(1) By comparing and analyzing the distribution of brightness as domestic lamps and Japanese products go thinner and lighter, we set an effective design standard. (2) By comparing and analyzing the feature, brightness, chromaticity and uniformity of domestic LGPs and Japanese products, early home-manufacturing and stabilization in home-manufacturing are possible. (3) By comparing and analyzing the distribution of brightness as sheets are varied, we can design an ideal sheet composition.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2003년도 추계공동학술대회
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• pp.135-144
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• 2003

In this paper, the implementation techniques of intelligent nuclear material surveillance system based on the SOM(Self Organized Mapping) was described. Unattended continuous surveillance systems for nuclear facility result in large amounts of data, which require much time and effort to inspect. Therefore, it is necessary to develop system that automatically pinpoints and diagnoses the anomalies from data. In this regards, this paper presents a novel concept of a continuous surveillance system that integrates visual image and radiation data by the use of neural networks based on self-organized feature mapping