• 제목/요약/키워드: Co-works

검색결과 667건 처리시간 0.03초

자동차 에어컨 및 컴프레서 용 FCD700 부품의 고 신뢰성·고 생산성 주조 기술 구축 (Construction of Highly Reliable and Highly Productive Casting Technology of JIS FCD700 Parts for Can Air Conditioner Compressors)

  • 무네오카 다케노부;사토 아키라;사이토 다카오;가토 마코토;야마와키 마사유키;스에히로 요시유키;스즈키 야스노부;히라타 나오토;나카무라 마사유키
    • 한국주조공학회지
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    • 제43권5호
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    • pp.256-259
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    • 2023

드릴쉽 건조 중 문풀 구조 수정 작업 및 구조적 안정성 검토 (Repair Procedure and Structural Strength Analysis to Damage of Moon-Pool Structure for Drillship During Construction)

  • 유인상;손상용;백승중;최용락;유해근;윤기정
    • 대한조선학회 특별논문집
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    • 대한조선학회 2011년도 특별논문집
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    • pp.12-16
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    • 2011
  • During the shipbuilding construction, the repair works will be occurred by various reasons such as the natural disaster, mistakes of engineers or workers, defect of material, and so on. The one of the engineer's responsibilities is to design considering every possibility and to prevent the repair works due to the mistakes during construction stages, but actually it is very difficult and impossible to avoid every mistake. However, it is also the responsibility of engineers to find the best solution for the unavoidable mistakes which is to maintain the capacity of vessel and guarantee the safety for the repair works considering the construction schedules and economic cost. In this paper, it will be introduced the brief of repair works to the structural damage of the moon-pool structure in drillship which is built in our shipyard. For the verification of the structural strength, the fatigue analysis has been carried out based on the guide of Classification society. Furthermore, the modifications of structure design and welding procedure have been applied to avoid the stress concentration in the moon-pool structure.

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Implementation of CoAP-Lite Protocol over USN

  • Jeong, Sun-Chul;Yu, So-Ra;Jung, Hoe-Kyung
    • Journal of information and communication convergence engineering
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    • 제9권5호
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    • pp.602-606
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    • 2011
  • It is necessary for developing specific application protocol for mobile sensor end nodes and data collection devices that have constrained resources and computing powers. Because of these needs, IETF WG developed CoAP protocol and Internet draft was released, and processing to international standardization of this protocol. Because sensor nodes and information collection devices have restricted resources and computing powers, there are some limitations for applying to this proposed protocol directly. Thus in this paper we shows the implementation of full CoAP protocol for server, works on Linux and CoAP-Lite over telos which works on TinyOS for information collection devices. In this implementation we verified the main activities of CoAP protocol over USN by modifying some hardware with dependent algorithm.

LED조명을 위한 직류-직류 변환기의 일차 측 전류 제어 기법 (Primary Side Current Control Method in Dc-to-Dc Converters for LED Lighting)

  • 권옥환;홍주표;;손영석;최영호;최병조
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2011년도 전력전자학술대회
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    • pp.346-347
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    • 2011
  • 본 논문에서는 정전류 LED조명 구동을 위한 일차측 전류 제어의 새로운 기법을 제안한다. 일정한 온-타임으로 동작하는 경계 모드(Critical Mode) 플라이백 타입으로 우수한 역률을 달성하였고, 의사 공진(Quasi-resonant) 동작으로 스위칭 손실을 최소화 하였다. 본문에서 LED전류가 5% 이하로 정전류 제어되는 9W급 플라이백 타입의 일차 측 전류 제어 기법을 실험으로 검증한다.

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Co-Evolutionary Algorithm for the Intelligent System

  • Sim, Kwee-Bo;Jun, Hyo-Byung
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1999년도 하계종합학술대회 논문집
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    • pp.1013-1016
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    • 1999
  • Simple Genetic Algorithm(SGA) proposed by J. H. Holland is a population-based optimization method based on the principle of the Darwinian natural selection. The theoretical foundations of GA are the Schema Theorem and the Building Block Hypothesis. Although GA does well in many applications as an optimization method, still it does not guarantee the convergence to a global optimum in GA-hard problems and deceptive problems. Therefore as an alternative scheme, there is a growing interest in a co-evolutionary system, where two populations constantly interact and co-evolve. In this paper we propose an extended schema theorem associated with a schema co-evolutionary algorithm(SCEA), which explains why the co-evolutionary algorithm works better than SGA. The experimental results show that the SCEA works well in optimization problems including deceptive functions.

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대학 도서관 건물 리모델링에 따른 실내공기질 영향 평가 (Impact Assessment of Remodeling Works on Indoor Air Quality in a University Library Building)

  • 백성옥;박대진;박선영;이여진
    • 한국대기환경학회지
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    • 제22권6호
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    • pp.876-887
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    • 2006
  • Recently, there have been a large number of remodeling (or renovation) works in old buildings in urban areas. Compared to new buildings, environmental risk might be more significant in such buildings where remodeling works are going on, since some parts of the building may still be in service for people. This study was carried out to investigate the impacts of remodeling works on the indoor air quality (IAQ) of a large building (a 22 stories university library). Indoor air monitoring was conducted during and after the remodeling works every two weeks for a one year period, and target compounds included BTEX, styrene, TVOC, carbonyl compounds such as formaldehyde and acetaldehyde. $CO,\;CO_2,\;PM_{10}$, and $PM_{2.5}$. Overall, the IAQ appeared to be recovered within two months after the remodeling works. However, in some places, concentrations of formaldehyde, toluene, xylene. and ethylbenzene showed higher levels even after works than those during the works. The results indicate that painting, glues and office furnitures are major sources of aromatic VOCs and formaldehyde. Therefore, in order to decrease the concentrations of toxic VOCs, the use of environmental-friendly building materials is strongly recommended during the remodeling works. In addition, IAQ control and management scheme (for example, baking the inside of the building) should be taken into consideration before reopening the buildings.

Co-Evolutionary Algorithm and Extended Schema Theorem

  • Sim, Kwee-Bo;Jun, Hyo-Byung
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제2권1호
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    • pp.95-110
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    • 1998
  • Evolutionary Algorithms (EAs) are population-based optimization methods based on the principle of Darwinian natural selection. The representative methodology in EAs is genetic algorithm (GA) proposed by J. H. Holland, and the theoretical foundations of GA are the Schema Theorem and the Building Block Hypothesis. In the meaning of these foundational concepts, simple genetic algorithm (SGA) allocate more trials to the schemata whose average fitness remains above average. Although SGA does well in many applications as an optimization method, still it does not guarantee the convergence of a global optimum in GA-hard problems and deceptive problems. Therefore as an alternative scheme, there is a growing interest in a co-evolutionary system, where two populations constantly interact and co-evolve in contrast with traditional single population evolutionary algorithm. In this paper we show why the co-evolutionary algorithm works better than SGA in terms of an extended schema theorem. And predator-prey co-evolution and symbiotic co-evolution, typical approaching methods to co-evolution, are reviewed, and dynamic fitness landscape associated with co-evolution is explained. And the experimental results show a co-evolutionary algorithm works well in optimization problems even though in deceptive functions.

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