• Applied Chemistry for Engineering
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• v.10 no.7
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• pp.990-995
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• 1999

To determine the effect of chemical structure of linear amine curing agents on thermal and mechanical properties, standard epoxy resin DGEBA was cured with ethylene diamine(EDA) and hexamethylene diamine(HMDA) in a stoichiometrically equivalent ratio. From this work, the effect of linear amine curing agents on the thermal and mechanical properties is significantly influenced by the chemical structure or chain length of curing agents. In contrast, the results show that the DGEBA/EDA system having the two carbons had higher values in the thermal stability, maximum conversion of epoxide, density, glass transition temperature, tensile modulus, flexural strength, and flexural modulus than the DGEBA/HMDA system having the six carbons, whereas the DGEBA/EDA cure system had relatively low values in the shrinkage(%), thermal expansion coefficient, tensile strength, and had similar values in the maximum exothermic temperature, and conversion of epoxide compared to the DGEBA/HMDA cure system. This findings indicate that packing ability in the HMDA structure affects the thermal and mechanical properties.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.7
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• pp.798-809
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• 2020

Evidence-based policymaking and assessments for scientific administration have increased the importance of statistics (data) utilization. Statistics can explain specific phenomena by providing numerical values and are a public resource for national decision making. Due to these inherent attributes, statistics are utilized as baseline and base data for government policy determinations and the analysis of various phenomena. However, compared to the importance, the role of statistics is limited, and statistics are often used as simple abstracts, produced mainly for suppliers, not for consumers' perspectives to create value. This study explores the statistical data and other attributes that can be utilized for policies or research to address the problems mentioned above. The baseline statistical data used in this study is from the Maritime Distress Accident Statistical Yearbook published by the South Korean Coast Guard, and other additional attributes are from text analyses of vessel casualty situation reports from the South Korean Maritime Police. Collecting 56 attributes drawn from the text analysis and executing an EDA resulted in 88 attribute unions: 18 attribute unions had a satisfactory significance probability (p-value < .05) and a strong correlation coefficient above 0.7, and 70 attribute unions had a middle correlation. (over 0.4 and under 0.7). Additionally, to utilize the extra attributes discovered from the EDA politically, a keyword analysis for each detailed strategy of the disaster Preparation basic plan was executed, the utilization availability of the attributes was obtained using a matching process of keywords, and the EDA deducted attributes were examined.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06a
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• pp.49-51
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• 2006

분자 wDNF기계를 통해 해 집단을 병렬적으로 탐색하여 유망한 텀들을 선택한 후 그를 구성하는 변수들의 분포를 평가, 확률 모델을 확립하고 그로부터 다음 세대의 해 집단을 구성함으로써 진화 알고리즘의 확장인 EDA을 DNA컴퓨팅으로 모델링한다. 또한 희박한(sparse) 해 집단에서 간략한 (parsimonious) wDNF모델을 항께 찾으므로 단순히 해 집단의 분포만을 진화시켜 나가는 것이 아니라 모델의 구조도 같이 최적화 시켜 나가는 방안을 제시한다.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.2
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• pp.432-435
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• 2007

In modern society, automobile is necessary vehicle. Automobile is a series of modern convenient. And the number of automobile is on the increase. But from you to year, automobile accident is on the increase, also. One of most reason that cause automobile accident is drowsiness driving. So, we plan to construct automobile system for drowsiness accident prevention for decreasing automobile accident. In this research, we built a drowsiness detecting device using EDA (Electro Dermal Activity) signal which is electric response in the human body skin. There are SIL (Skin Impedance Level) and SIR (Skin Impedance Response) in EDA. Mostly, SIL consists of DC element. On the other hand, SIL consists of AC element. We could detect the drowsiness condition with SIL and SIR signal.

• Proceedings of the KOSOMBE Conference
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• v.1997 no.11
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• pp.19-22
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• 1997

This paper studies the arousal effects of aroma and warning sound using EDA(Electrodermal Activity:EDA), Aroma stimulus started at Nz value over 1.2. Warning sound was prepared according to the arousal evaluation and control criteria. As a result, the warning sound could be controlled the arousal level in all the mKSS state. Aroma stimulus was able to prevent drowsy more than warning sound in the mKSS 3 state(the first stage of drowsiness). Therefor, aroma stimulus was can be used for arousal control at that state. Futhermore, arousal control was shown to be more effective with presentation of both aroma and warning sounds than each presentation.

• Journal of the Korean Applied Science and Technology
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• v.28 no.2
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• pp.203-212
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• 2011

In this study we experimented that how chain extension influences to waterborne urethane-acrylic hybrid resin for leather garment coatings. We knew that polyurethane-acrylic hybrid resins had 5 grades of solvent resistance. Tensile strength measured in the polyurethane-acrylic resin(EDA 5.37 g, 1.928 kgf/$mm^2$) had the most strong strength. Also polyurethane-acylic hybrid resin(EDA 5.37 g. 30.2 mg. loss) had better result than other hybrid resins. EDA contents higher, we obtained low elongation and low flexibility. In this result, chain extension of waterborne polyurethane-acrylic hybrid resin showed the effect in leather coating with ratio of EDA.

• Journal of Internet Computing and Services
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• v.22 no.1
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• pp.1-11
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• 2021

Estimation of distribution algorithm (EDA) is a popular stochastic metaheuristic algorithm. EDA has been widely utilized in various optimization problems. However, it has been shown that the diversity of the population gradually decreases during the iterations, which makes EDA easily lead to premature convergence. This article introduces a hybrid estimation of distribution algorithm (EDA) with differential evolution (DE) based on self-adaptive strategy, namely HEDADE-SA. Firstly, an alternative probability model is used in sampling to improve population diversity. Secondly, the proposed algorithm is combined with DE, and a self-adaptive strategy is adopted to improve the convergence speed of the algorithm. Finally, twenty-five benchmark problems are conducted to verify the performance of HEDADE-SA. Experimental results indicate that HEDADE-SA is a feasible and effective algorithm.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.107-108
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• 2020

최근 센서데이터 활용 영역이 넓어지면서 데이터 분석 서비스가 활성화되고, 분석을 용이하게 할 수 있는 환경으로 진화하고 있다. 이에 따라 센서데이터의 신뢰성 보장이 필요하다. 신뢰성을 갖는 환경모니터링을 위해서는 센서로부터 수집된 환경 데이터의 분포 및 값을 살펴본 후 데이터가 표현하는 현상을 더 잘 이해하고, 센서 및 센서데이터에 대한 잠재적인 특이점을 발견을 선행하여야 한다. 이를 위해 EDA를 통해 수집된 센서 값을 시각화하고 분석에 주어진 데이터의 개별 속성의 특징 및 상관관계를 도출한다. 본 연구의 EDA 분석 결과는 센서데이터의 신뢰성을 평가하기 위해 사용한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.79-80
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• 2022

본 논문에서는 데이터 증강 기법 중 하나인 EDA를 적용하여 BERT 기반의 감성 분류 언어 모델을 만들고, 성능 개선 방법을 제안한다. EDA(Easy Data Augmentation) 기법은 테이터가 한정되어 있는 환경에서 SR(Synonym Replacement), RI(Random Insertion), RS(Random Swap), RD(Random Deletion) 총 4가지 세부 기법을 통해서 학습 데이터를 증강 시킬 수 있다. 이렇게 증강된 데이터를 학습 데이터로 이용해 구글의 BERT를 기본 모델로 한 전이학습을 진행하게 되면 감성 분류 모델을 생성해 낼 수 있다. 데이터 증강 기법 적용 후 전이 학습을 통해 생성한 감성 분류 모델의 성능을 증강 이전의 전이 학습 모델과 비교해 보면 정확도 측면에서 향상을 기대해 볼 수 있다.

• Journal of the Korean Wood Science and Technology
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• v.33 no.6 s.134
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• pp.71-78
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• 2005

For the utilization of chestnut inner bark as forest biomass, this studies have been carried out cleary investigated about phenolic compounds from the diethyl ether solubles and ethyl acetate solubles of hot water extract from chestnut inner bark. 3 compound were isolated and their structures were identified by spectroscopic methods. They were known compounds, 3,5-dihydroxybenzoic acid, 3,4,5-trihydrixybenzoic acid and catechin. Electron donating ability (EDA) of 3 compounds were investigated. Gallic acid and catechin were found to higher EDA than control, ascorbic acid and $\alpha$-tocopherol in 10 ppm, and especially gallic acid has very higher EDA, 21 times than ascorbic acid. This gallic acid of chemical structure were substituted with free phenolic hydroxyl groups at meta and para position. It was supposed that phenolic hydroxyl groups in chemical structure was a EDA factor.