• 제목/요약/키워드: Electrical Outfit

검색결과 5건 처리시간 0.021초

PML 기반 파라메트릭 해양플랜트 전장생산설계 지원 프로그램 개발 및 업무 효율성 연구 (Development and Working Efficiency of Supporting Program for the Parametric Electrical Outfit Production Design of Offshore Plant Based on PML)

  • 김현철;김종명
    • 한국해양공학회지
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    • 제33권3호
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    • pp.205-213
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    • 2019
  • Recently, because of the global recession of the offshore plant industry and low-cost orders, there has been increasing interest in strengthening the competitiveness of domestic companies for the design and production technologies of offshore plants. However, in the offshore plant design field, the Plant Design Management System (PDMS), which is a 3D CAD program for plant layout developed by AVEVA Marine, is already commonly used as offshore plant design software and widely used in large domestic shipyards and cooperative design companies. Under this background, we have been thinking about ways to design better with the existing software. In this study, we developed a parametric design program to maximize the efficiency and reduce the working time for offshore plant electrical outfit production design based on the Programmable Macro Language (PML) of PDMS. We also examined its performance. By applying the developed program to the offshore plant module selected as an application example, it was confirmed that a 50% improvement in the work efficiency of cable tray design could be obtained compared with the existing method, with work efficiency improvements of 80% or more in other field design work.

조선 : KS-STEP

  • 김용대
    • 한국전자거래학회:학술대회논문집
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    • 한국전자거래학회 2000년도 종합학술대회발표논문집
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    • pp.115-126
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    • 2000
  • □ Ship Structural Envelope : hull form(AP216), arrangements(AP215), structure(Ap218) □ Distributed Systems : piping(AP227), electrical(AP212), HVAC(AP227) □ Mission Subsystems/Equipment : mechanical(AP226), electronics(AP212), operation(AP234) outfit and furnishings (FunSTEP), weapons(중략)

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프로그램 매크로언어를 이용한 해양 플랜트 케이블 트레이의 파라메트릭 설계 도구 개발 (Development of Parametric Design Tool for Offshore Plant Cable Tray Using PML)

  • 김현철
    • 한국산학기술학회논문지
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    • 제20권2호
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    • pp.632-637
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    • 2019
  • 해양 플랜트 전장생산설계의 케이블 트레이 설계는 구조 부재 및 각종 의장 장비들과 간섭없이 케이블이 설치될 수 있도록 3D 모델링하여 원활하게 최적 배치하는 작업으로, 대부분 PDMS(Plant design management system)를 이용하여 수행되고 있다. PDMS는 해양 플랜트 생산설계 전용 3D CAD 시스템으로 국내 조선소와 관련 설계협력업체에서 널리 사용되고 있다. 본 연구에서는 PDMS 기반 해양 플랜트 케이블 트레이 설계 지원 PML(Programmable macro language)을 개발하여, 기존 방법 대비 업무 효율성을 검토하였다. 개발된 케이블 트레이 설계 PML은 전장 템프릿 라이브러리를 이용하여 완전히 파라메트릭 설계가 가능하도록 함으로써 설계 변경으로 인한 빈번한 수정 작업에 신속히 대응할 있도록 하였고, 축적된 설계 경험를 반영하여 반복되는 작업 피로를 최소화할 수 있도록 하였다. 그리고 개발된 시스템을 해양 플랜트 구조 모듈에 적용하여 기존 방법 대비 약 50% 이상의 작업 효율성 향상이 예상됨을 확인하였다.

MODEL-BASED DESIGN FOR HIGH ANTONOMY SYSTEMS

  • Chi, S.D.;Zeigler, B.P.;Park, S.H.
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 22-24 Oct. 1991
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    • pp.1585-1590
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    • 1991
  • This paper presents the principles for design of autonomous systems whose behavior is based on models that support the various tasks that must be performed. We propose a model-based architecture aimed at reducing the computational demands required to integrate high level symbolic models with low level dynamic models. Model construction methods are illustrated to outfit such an architecture with the models needed to meet given objectives.

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딥러닝 기반 개인화 패션 추천 시스템

  • Omer, Muhammad;Choo, Hyunseung
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2022년도 추계학술발표대회
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    • pp.40-42
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    • 2022
  • People's focus steadily shifted toward fashion as a popular aesthetic expression as their quality of life improved. Humans are inevitably drawn to things that are more aesthetically appealing. This human proclivity has resulted in the evolution of the fashion industry over time. However, too many clothing alternatives on e-commerce platforms have created additional obstacles for clients in recognizing their suitable outfit. Thus, in this paper, we proposed a personalized Fashion Recommender system that generates recommendations for the user based on their previous purchases and history. Our model aims to generate recommendations using an image of a product given as input by the user because many times people find something that they are interested in and tend to look for products that are like that. In the system, we first reduce data dimensionality by component analysis to avoid the curse of dimensionality, and then the final suggestion is generated by neural network. To create the final suggestions, we have employed neural networks to evaluate photos from the H&M dataset and a nearest neighbor backed recommender.