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심우창,진혜빈,김세진,김선동 한국정보과학회 2024 정보과학회 컴퓨팅의 실제 논문지 Vol.30 No.2
The Abstraction and Reasoning Corpus (ARC) [1] is an important benchmark dataset for evaluating artificial general intelligence. However, there is a lack of research showing good performance on the ARC benchmark dataset. Large-scale language models are performing well in a variety of domains, and their use in prompt engineering is gaining traction. In this study, we investigated the possibility of prompt engineering for ARC problem solving. We conducted experiments using various prompts such as persona prompts and chain of thought prompts and in-depth analysis. In our experiments, we found that they had difficulty with problems involving objects. However, they were able to solve simple pattern problems and object finding problems well, and their accuracy improved when we applied appropriate prompt engineering methods. This shows the promise of prompt engineering.
ANFIS를 이용한 세장한 전단보강 및 전단무보강 철근콘크리트 보의 전단강도 예측
심우창(Sim, Woo-Chang),최경규(Choi, Kyoung-Kyu) 대한건축학회 2013 大韓建築學會論文集 : 構造系 Vol.29 No.12
An analytical method based on fuzzy theory was developed for accurate evaluation of the shear strength of slender reinforced concrete beams with and without shear reinforcement. 636 experimental datasets of shear tests of simply supported reinforced concrete beams, which cover a wide range of design parameters, were used for training and validation of the proposed fuzzy-based model. The strength prediction by the proposed model was compared to those by current design codes including the American code (ACI 318-11) and the Euro code (EC2). The results showed that proposed model based on the fuzzy set theory can properly address the complicated interaction between various modeling parameters, and the fuzzy-based model enhances the prediction of the shear strength.
투상도를 이용한 컴퓨터 그래픽 교육 프로그램 개발 연구 : 전문계 고등학교의 디자인 교육을 중심으로
심우창(Sim Woo-Chang),한석우(Han Suk-Woo) 한국디자인학회 2010 한국디자인학회 학술발표대회 논문집 Vol.2010 No.10
In terms of education, design education needed in vocational high schools must consider contents enabling students to develop basic senses of design so that they can improve their ideas on design. This study developed an after-school computer graphics educational program based on projection view for education of students studying design. In order to increase the objectivity of this study, the author conducted a literature review and a case study for 12 weeks toward 20 sophomore students enrolled in design course of the vocational high school where the author is working. The purpose of this study is to use projection view which can help students of vocational high schools to identify forms in computer graphics education, to find problems with computer graphics education, and to explore desirable development directions in computer graphics education based on analyses and evaluation of questionnaire surveys conducted towards students.
확률적 접근방법을 이용한 식육에서의 Listeria monocytogenes 오염수준 산출
박경진,김성조,심우창,천석조,최은영,최원상,홍종해 한국식품위생안전성학회 2003 한국식품위생안전성학회지 Vol.18 No.3
미생물학적 위해성 평가(Micribial risk assessment: MRA)에서 노출평가시 확률적 접근방법은 식중독 발생에 관련된 많은 위해 미생물의 다양성과 변이성 그리고 불확실성에 대한 분석이 가능하고 과적의 접근방법인 point estiamte 보다 훨씬 더 현실성이 반영된 결과를 제공할 수 있어 현재 MRA의 노출평가에서 가장 효과적인 방법으로 인정되고 있다. 본 연구는 MRA 방법론 중 노출평가에서 이용될 수 있는 수학적 확률분포 모델을 이용하여 위해 미생물의 발생수준을 추정하는 방법론을 제시하고, 이를 바탕으로 국내 식육에서의 Listeria monocytogenes에 대한 오염수준을 추정하였으며, 그 결과 국내 식육에서의 L. monocytogenes의 오염수준은 평균 (50_(th) percentile) -4.08 Log CFU/g이며, 최소 (5_(th) percentile) -4.88 Log CFU/g, 최대 (95_(th) percentile) -3.56 Log CFU/g의 범위를 갖는 것으로 추정되었다. Probabilistic exposure assessment has been recognized as an important fool in microbial risk assessment, because of obtained the desired results to characterize of variability and uncertainty associated withe the microbial hazards. In addition, it will be provided much more actuality information than the point-estimate approaches. In this study, we present methodology using mathematical probability distribution in exposure assessment and estimating of contamination level of Listeria monocytogenes in meat and meat products as a case study. The result of estimation contamination level was mean (50_(th) percentile) -4.08 Log CFU/g, minimum (5_(th) percentile) -4.88 Log CFU/g, maximum (95_(th) percentile) -3.56 Log CFU/g.
식품산업체에서 확률분포 모델을 이용한 불규칙적인 미생물 수 분포 활용
박경진,김성조,심우창,천석조,최원상,홍종해 한국식품위생안전성학회 2003 한국식품위생안전성학회지 Vol.18 No.4
식품산업체에서 검사한 자료의 일반세균수는 대부분 불규칙 분포를 나타낸다. 최근 이러한 불규칙적인 경향에 대하여 미생 물수의 lognormal 분포 특성을 이용하는 확률분포 모델을 적용함으로써 좀더 정확한 변화의 특성을 밝히고 있다. 확률분포 모델을 이용하면 일반세균수와 대장균군 등의 분석결과에 대해 과거의 단순한 경향분석을 벗어나, 유용한 분석이 가능한 것으로 나타나고 있 다. 본 연구는 냉동만두류를 생성하는 2개 업체의 각각 1년 동안 실험된 일반세균 자료를 갖고, 확률분포 모델 활용의 타당성과 업체간의 위생수준 상호비교 그리고 예상되는 위해 발생 예측에 적용 검토하였다. 그 결과 정량적인 미생물 자료에 대한 확률분포 모델의 적용은 식품산업체에서 일반세균수에 의한 위해발생 가능성을 예측하고 안전관리 수준을 결정하는데 유용한 것으로 판단되었다. Sequences of industrial microbial counts of foods shows irregular fluctuating patterns as a definition of fluctuating microbial counts(FMC). Recently, it became clear that the FMC was considered as having a lognormal distribution as first order approximation. Application of lognormal distribution to the industrial microbial counts could produce useful information in practice. This study is intended to verify the application method of lognormal distribution in FMC. The one year's records of microbial counts of frozen dumplings from two companies were obtained, and the statistical analysis was carried out to estimate the frequencies of future events where counts exceeding selected levels and to compare the sanitation level of the two companies. The results showed that this application method enable translation of irregular records of microbial counts into an useful information such as the actual probabilities of outburst of a given level and the quantitative predictions of potential hazards in the processing.