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RISS 인기검색어
- 검색키워드
- 저자 : 정면규(Myeongyu Jeong) (검색결과 4 건)
- 무료
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정면규(MyeonGyu Jeong),서효원(HyoWon Suh) (사)한국CDE학회 2016 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2016 No.동계
The concern with plant O&M (Operation and Maintenance) solutions has been growing for the last several years to increase continuous operation and to save operation cost. In order to maximize the effect of O&M applications, sensor-based integrated virtual plant platform is necessary. We therefore propose sensor-based virtual plant platform with virtual · simulation technology. In terms of sensor based plant O&M, key functions can be classified into four functions: process management, instrument management, structural safety management and maintenance guide. We discuss the outline of each functions and interconnectivity of them with simple UI of integrated SW. Finally, application plan of smart virtual plant platform in the virtual plant operation room with several monitors is proposed.
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제품 설계를 위한 제품 특징 기반 고객 리뷰 텍스트 처리 및 의미론적 분석 방법론
박진영(Jinyoung Park),정면규(Myeongyu Jeong),서효원(Hyowon Suh) (사)한국CDE학회 2015 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2015 No.하계
When engineers design the product, it is essential to consider both function and performance of the product. Also, it must be clearly understood about what functions do customers prefer and what level of performance they need. Product reviews are the representative writings including these contexts about the customer needs. Since product reviews includes customer’s opinion about product feature, it is the vital elements to analyze the customer’s needs. Previous researches for analyzing customer reviews are mostly about the classification of the reviews’ polarity. In view of product design, it is more important to consider the information about how much they prefer the product feature. Therefore we propose a methodology of text processing and semantic analysis based on product feature for applying to product design. First, we analyze the sentences with the methodology of text processing and semantic analysis. And then, we extract the product features about the function and performance of product. And in this paper, to verify the suggested methodology, we collects the customer reviews about the tire. After extracting product feature and sentiment word with the collected reviews, we construct new algorithm which calculates sentiment value of product feature by using SentiWordNet.
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비정형 텍스트 감성 분석을 통한 효율적인 제품 설계 방법론
박진영(Jinyoung Park),정면규(Myeongyu Jeong),서효원(Hyowon Suh) (사)한국CDE학회 2016 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2016 No.동계
In the Product Design stage, it is essential to analyze the customer’s needs. And, to analyze them we have to summarize the customer’s opinions. But, it is very difficult because the product reviews is unstructured text. So, In this thesis, we propose an Effective Product Design Methodology based on Sentiment Analysis of Unstructured Text. We will use Latent Semantic Analysis to search the latent relations of the features. And, to define the initial sentiment values, we will use the SentiWordNet. We will define the features and sentiment words. Also, we will represent the patterns in the unstructured text.
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전상민(SangMin Jeon),서효원(HyoWon Suh),정면규(MyeonGyu Jeong) (사)한국CDE학회 2015 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2015 No.하계
Most engineers in manufacturing industries routinely handle large volumes of engineering documents that are stored in PLM system. The challenge for extracting knowledge from the engineering documents is to quickly gather the right information from unstructured text in engineering documents into a structured knowledge. Since context is very important information to understand knowledge in unstructured text, it should be extracted and reflect to organize a structured knowledge. Several studies to extract knowledge from unstructured text focus on extracting concepts and their relationships using matching between terminologies in text and concepts in a predefined ontology. They did not extract context information from unstructured texts. This paper undertakes the in-depth analysis of failure analysis documents collected from a manufacturing company and provides a method for failure knowledge extraction based on failure context, which enables to prevent potential failure in a design process by securing the failure knowledge. Two-layered model, failure-context and product-component layers, is also developed to exploit both failure knowledge and relevant design information through a series of proposed linguistic operations.
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