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철도시스템 FMECA 수행 절차 및 분석 기법 개발에 관한 연구
박권식(Park Kwon Shik),김태웅(Kim Tae Woong),정현용(Jeong Hyun yong),박준서(Park Jun Seo) 한국철도학회 2006 한국철도학회 학술발표대회논문집 Vol.- No.-
FMEA(Failure Mode and Effects) is a procedure for the analysis of a system to identify the potential failure modes, and their effects and causes to reduce or mitigate the critical effects of the system. Recently, FMEA is used in various industries and it is specialized in each industry. For instance, MIL-1629a in Military industry, SAE-J1739 in Automotive industry and other industry are using specialized FMEA method. Though Railroad industry requires the high reliability system, it does not have the FMEA method which is specialized to them. So in this paper, we examined the MIL-1629a, SAE-J1739, IEC-60812 and compared those standards. Furthermore, we propose the FMEA method that is specialized to the railroad system.
박권식(Park, Kuyon-Sik),정지형(Jeong, Ji-Hyeong),반영운(Ban, Yong-Un),이태호(Lee, Tae-Ho) 한국주거환경학회 2014 주거환경(한국주거환경학회논문집) Vol.12 No.1
This study has intended to classify defect of apartment and find reduction way. So we have employed a questionnaire survey method to find reduction strategy common service facilities defects in apartment and 33 experts associated with apartment hosing development participated in the survey. The questionnaire are composed of mainly three parts, 1) frequency of detects in common service facility, 2) evaluation of defect reduction, 3) importance of defect reduction strategy. the result of questionnaire was analyzed using statistical analysis using SPSS Ver 17. This study shows that apartment building account for about 63% among the defect types in apartment housing. and it was caused by crack of outside wall. In the result of this study, we have confirmed that there are lots of defects in apartment housing and also found the reason causing defects and types. in particular, curing of concrete was an important factor to reduce the defects of outside wall in apartment housing.
최소대립 문장쌍을 활용한 한국어 사전학습모델의 통사 연구 활용 가능성 검증
박권식 ( Kwonsik Park ),김성태 ( Seongtae Kim ),송상헌 ( Sanghoun Song ) 한국언어정보학회 2021 언어와 정보 Vol.25 No.3
Syntactic studies make use of the minimally pairwise sentences as an argumentation tool, because the pairs allow us to pay attention to the constraints of interest. Likewise, it is helpful to use a set of minimal pairs in deep learning-based experiments for assessing the syntactic ability of neural language models. In this context, this study verifies whether the deep learning Korean model has the ability to properly distinguish the well-formed expressions and the corresponding ill-formed expressions. In the meanwhile, this study serves to examine the feasibility of the language resource constructed by the Korean government for deep learning architecture. The research is three-fold. First, we conducted an acceptability judgment testing to verify whether and how the language resource used in this study is indeed trustworthy. The results indicate that the judgments provided in the language resource converge with the judgments of our own experiment well enough. Second, we employed four Korean models such as mBERT, KoBERT, KR-BERT, KorBERT in order to evaluate how the language resource has a potentiality to predict the well-formedness of Korean expressions. The different models yield different results, the reason of which is fully discussed. Third, we made use of an independent test-set for evaluating the deep learning systems. It turns out that the results are still challenging, which implies that the current Korean models may have room for improvement to understand the syntactic phenomena.