• Title/Summary/Keyword: 서브타이핑

Search Result 2, Processing Time 0.015 seconds

Coinductive Subtyping for Recursive and Union Types (재귀 타입과 합집합 타입을 위한 코인덕션 서브타이핑)

  • Im, Hyeonseung
    • Journal of KIISE
    • /
    • v.43 no.12
    • /
    • pp.1342-1350
    • /
    • 2016
  • Induction and coinduction are well-established proof principles, which are widely used in mathematics and computer science. In particular, induction is taught in most undergraduate programs and well understood in the field of computer science. In contrast, coinduction is not as widespread or well understood as induction. In this paper, we introduce coinduction by defining a subtype system for recursive and union types and proving the transitivity property of the system. This paper will help to promote familiarity with coinduction and provides a basis for a subtype system for recursive types with other advanced type constructors and connectives.

CDISC Extension for Supporting Multinational Clinical Trials (다국적 임상시험 지원을 위한 CDISC 표준의 확장)

  • Yeom, Ji-Hyeon;Chai, In-Young;Kim, Suk-Il;Kim, Hyeak-Man
    • Journal of KIISE:Computing Practices and Letters
    • /
    • v.15 no.8
    • /
    • pp.566-575
    • /
    • 2009
  • Clinical Data Interchange Standards Consortium (CDISC) developed global and platform-independent data standards to improve ineffective processes of clinical trial studies. Regardless of its objective toward global cooperation, the current version of the CDISC standard cannot describe clinical trial data in various languages for multi-national investigators or reviewers. This problem applies not only to tabulated datasets in Study Data Tabulation Model (SDTM) but also to extensible markup language representation of the datasets in Operational Data Model (ODM) instances. In order to address this issue, we propose to extend the current version of SDTM and ODM to collect clinical data for multi-national clinical trials. SDTM needs to have new special-purpose domain for multi-language representation purpose. Additionally, ODM is recommended to extend its XML schema using subtyping or type inheritance mechanism respectively. Our extension of SDTM and ODM enable to represent any granule of study data tabulation model or XML data entities to describe in efficient languages. This result will contribute to collect multi-language data easily for multi-national clinical trials.