Earticle

본 연구는 철강제조 분야에서 제품 생산 중 발생하는 모든 데이터를 실시간으로 수집하여 데이터베이스화하고, 웹 기반 시스템을 구축함으로써 시간과 장소의 제약 없이 필요 데이터를 조회, 분석할 수 있는 시스템 개발에 대한 연구이다. 본 시스템의 구축 결과, 실시간으로 데이터의 조회 및 분석이 가능하게 됨으로써 생산 제품에 대한 보다 효율적인 품질개선 활동이 가능하게 되었고, 제품의 신뢰도를 높일 수 있게 되었다. 또한 장기간 누적된 데이터를 데이터베이스화하고 그것을 통계적으로 분석 가능하게 함으로써 새로운 제어모델의 개발과 조업기술의 개발이 보다 용이하게 되었고, 신제품 개발의 기초자료로도 활용할 수 있게 되었다

This study proposes an integrated monitoring system for data reliability improvement in a steel manufacturing industry. The data obtained from existing steel manufacturing process is not micro data which is gathered at the occurring point, but average value (macro data) which is gathered from the occurring point to ending point. This kind of macro data is not only difficult for a detailed analysis for an error causing factor, but it might cause a fatal influence as well on the quality of produced goods even if the error is within an error tolerance. And during the process of steel production, thousands of data is produced in a second, thus requiring database plan to manage abundant amount of data. Therefore, the following proposed system is capable of collecting as well as analyzing all the data generated from the process of product production. And the system was able to raise the efficiency of the database server by planning the database to handle large capacity data. Also, by applying web-based technology, inquiries and analysis of data with no limit on time and space was possible with PC connected to the intranet. Hence, the system was able to work on effective quality improvement of manufactured products, plus able to raise the reliability of the product. Also, accumulated data from long period of time was used for fundamental material for new controlling model, operation technology, and new product development.

As more and more organizations publish their data or services through Open APIs on the Internet, mashup applications have captured a lot of attention in recent years. However, as the number and categories of Open APIs grow rapidly, efficiently creating optimal mashup applications becomes a crucial issue for making the technology of mashup more applicable. In this work, we present a Mashup Directed Orchestration Model (MDOM) to depict the mashup patterns with a graph-based model on the basis of mashup orientation. According to the features of MDOM, by taking advantage of the theory of directed graph and the strategies used in the algorithms for discovering frequent sub-graphs, an algorithm named as FSOMM is presented to efficiently mine the frequent orchestration patterns hidden in the MDOMs. These discovered frequent orchestration patterns provide us a promising way to create optimal mashup applications. In addition, the performance of the proposed approach is verified by implementing a series of experiments on both synthetic and real datasets.

As the revolution of Web 2.0 technology, more and more novel service industries, such as social network, web of things and mobile internet emerge. The data of Web explosive growth is called the “big data”, which is hottest. Because of the great value of big data of Web, how to achieve the Web data and how to mine and utilize it, the two are paid attention by an increasing number of researchers. Under the big data circumstance, the Web data is characterized by huge scale, various kinds and high-speed bitstream. Therefore, we can investigate, further, the Web data mining, integration, interpretation and analysis. Simultaneously, Web data mining and integration still confront challenges consist of data scale, data variety, data timeliness and protection of privacy.

XML is suitable to integrate various forms of engineering design data since it possesses the characteristics of both documents and data. In this research a web-based design system has been developed, which integrates various gear design data in the form of XML. The system generates XML document containing gear design data and transforms gear design data in the relational database into XML document form automatically. The XML documents are transmitted to gear modeler agent through SOAP, and then the agent is automatically executed and generates CAD model files and VRML files. The designer can check the generated VRML model of gear immediately in the web service.

본 연구에서는 온톨로지를 이용한 SW-IQS(Semantic Web based Information Query System)를 제안한다. 제안한 시스템은 자동 분류 기술과 정보 검색 기법들을 이용하여 반구조(semi-structured) 문서 뿐만 아니라 비구조(unstructured) 문서의 처리를 극대화 시키고자 한다. 또한 상호 운용성 및 데이터 통합을 위해 RDF(S) 방식의 문서 저장 서버를 지원하며 웹 페이지들간에 검색 순위를 두어 보다 신속하고 정확한 정보 검색이 가능하도록 하고자 한다. 마지막으로 새로운 순위 측정 알고리즘을 제안하고 이를 이용한 성능 평가를 실시하여 그 효율성과 정확성을 검증해 보이고자 한다.

본 연구에서는 온톨로지를 이용한 SW-IQS(Semantic Web based Information Query System)를 제안한다. 제안한 시스템은 자동 분류 기술과 정보 검색 기법들을 이용하여 반구조(semi-structured) 문서뿐만 아니라 비구조(unstructured) 문서의 처리를 극대화시키고자 한다. 또한 상호 운용성 및 데이터 통합을 위해 RDF(S) 방식의 문서 저장 서버를 지원하며 웹 페이지들간에 검색 순위를 두어 보다 신속하고 정확한 정보 검색이 가능하도록 하고자 한다. 마지막으로 새로운 순위 측정 알고리즘을 제안하고 이를 이용한 성능 평가를 실시하여 그 효율성과 정확성을 검증해 보이고자 한다.