한국산업경영시스템학회 학술대회 2020년 한국산업경영시스템학회 춘추계 통합학술대회 및 제18회 대학생프로젝트경진대회

Recognition that R&D (Research and Development) project is important for national competitiveness and sustainable economic growth has been extended all over the world, and the government financial support for R&D projects has increased. Therefore, government needs to make a decision about whether it invests in any project or not, and this decision-making complies with evaluation of the relevant experts. In this study, we improve project selection methods and procedures based on outranking methods which have mainly focused on general project environmental analysis in order to apply to the government support R&D project selection, and suggest R&D project selection methods and procedures that meet the purpose of government support. Therefore, it demonstrates that improved methods organize more profitable project groups to the purpose of the selecting government support R&D project than existing methods. Also, it illustrates that it is possible for decision makers to analyze variously by changing composition of selecting project group with variation of α.

4,000원

33.

2020.10 구독 인증기관·개인회원 무료

오토인코더를 사용한 비선형 차원 축소법

정영철, 김선희, 이동주, 김치수, 이창용

한국산업경영시스템학회 학술대회 2020년 한국산업경영시스템학회 춘추계 통합학술대회 및 제18회 대학생프로젝트경진대회 p.232 한국산업경영시스템학회

In this paper, we proposed an auto-encoder model of observation-wise linear transformation to reduce the dimensionality of data. While nonlinear models can reduce the dimensionality more effectively than linear models, such as the principal component analysis, the non-linear methods can hardly provide a simple linear relationship between the original and the dimensionally reduced data. The proposed model overcomes this difficulty while maintaining the effectiveness of the dimensionality reduction. We assessed the proposed model and compared with PCA and a typical auto-encoder model in terms of the loss function and the degree of reconstruction of the original data. By applying the proposed method to a public data of MNIST and Fashion-MNIST, we showed the effectiveness in the dimensionality reduction and relationship between the original data to the reduced data.

34.

2020.10 구독 인증기관·개인회원 무료

육상 전원 공급장치의 비용 대 효과 분석

김인호, 이강원

한국산업경영시스템학회 학술대회 2020년 한국산업경영시스템학회 춘추계 통합학술대회 및 제18회 대학생프로젝트경진대회 p.233 한국산업경영시스템학회

35.

2020.10 구독 인증기관·개인회원 무료

소상공인 매장용 챗봇 주문 시스템

김태민, 조정인, 김재곤

한국산업경영시스템학회 학술대회 2020년 한국산업경영시스템학회 춘추계 통합학술대회 및 제18회 대학생프로젝트경진대회 p.234 한국산업경영시스템학회

36.

2020.10 구독 인증기관·개인회원 무료