• Title/Summary/Keyword: Large scale

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Development of Continuous UV Nano Imprinting Process Using Pattern Roll Stamper (패턴 롤 스템퍼를 이용한 연속 UV 나노 임프린팅 공정기술 개발)

  • Cha, J.;Ahn, S.;Han, J.;Bae, H.;Myoung, B.;Kang, S.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 한국소성가공학회 2006년도 춘계학술대회 논문집
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    • pp.105-108
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    • 2006
  • It has been issued to fabricate nano-scale patterns with large-scale in the field of digital display. Also, large-scale fabrication technology of nano pattern is very important not only for the field of digital display but also for the most of applications of the nano-scale patterns in the view of the productivity. Among the fabrication technologies, UV nano imprinting process is suitable for replicating polymeric nano-scale patterns. However, in case of conventional UV nano imprinting process using flat mold, it is not easy to replicate large areal nano patterns. Because there are several problems such as releasing, uniformity of the replica, mold fabrication and so on. In this study, to overcome the limitation of the conventional UV nano imprinting process, we proposed a continuous UV nano imprinting process using a pattern roll stamper. A pattern roll stamper that has nano-scale patterns was fabricated by attaching thin metal stamper to a roll base. A continuous UV nano imprinting system was designed and constructed. As practical examples of the process, various nano patterns with pattern size of 500, 150 and 50nm were fabricated. Finally, geometrical properties of imprinted nano patterns were measured and analyzed.

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Optimal control of large scale distributed packet switching system via interaction prediction method (상호작용 예측 방법에 의한 대형 분산 패킷 교환망의 최적제어)

  • 장영민;전기준
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1986년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 17-18 Oct. 1986
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    • pp.547-549
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    • 1986
  • This paper deals with large scale distributed packet switching system which is modeled by state space form and optimizing routing algorithms and buffer size via a hierachical system optimization method, the interaction prediction method.

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Hierarchical optimisation for large scale discrete-time systems using extended interaction prediction method (확장된 상호작용 예측방법을 이용한 대규모 이산시간 시스템의 계층적 최적제어)

  • 정희태;전기준
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 16-17 Oct. 1987
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    • pp.223-227
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    • 1987
  • This paper presents the extended interaction prediction method for large scale discrete-time systems with interconnected state and control. Feedback gain is obtained from decentralized calculation without solving Riccati equation. Hence, Computer storage and calculation time is reduced.

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A Study on Development Process of Enterprise-type Business in Fish Aquaculture - Case by yellowtail aquaculture in Japan - (해상 어류양식업에 있어서 기업적 경영의 전개과정에 관한 연구 : 일본의 방어류 양식업을 사례로)

  • Song Jung-Hun
    • The Journal of Fisheries Business Administration
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    • 제36권1호
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    • pp.139-153
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    • 2005
  • Marine fish aquaculture has been introduced on the East sea since 1964. The production volume of the marine aquaculture has been increasing drastically since 1990 with the technological improvements and the introduction of new species. However, the increasing costs of feed, seedlings and medical supplies and the decreasing prices due to the increase in the imports and domestic production have decreased the profits in the aquaculture business. Futhermore, the damage from the natural disasters such as red tides and typhoons has accelerated the exit from the business. Even though managing abilities to overcome the business crisis caused by the above factors are required, business managers based on the small scale family businesses do not have enough managing abilities to deal with the difficulties in the business. On the other hand, advanced countries in the marine aquaculture such as Norway have reached the stage where the managing abilities of marine aquaculture are similar to those in the manufacturing industry. And the number of large scale aquaculture farms with developed technologies and advanced marketing strategies in those countries is increasing. Considering that the marine aquaculture in Japan under the similar fishery systems of Korea has developed the state-of-the-art management skills or lead to large scale management, it is difficult to expect the decrease in the production costs under the small scale family business in Korea and this will lead to the decreasing competitive advantage over the imported seafood. Therefore marine aquaculture in Korea needs to increase the economy of scale to acquire the competitive advantage. This study addresses the possibility of introducing the large scale aquaculture system in Korea by analysing the factors and process of leading to large scale businesses in the aquaculture in Japan.

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Large Eddy Simulation of Heat Transfer Performance Enhancement due to Unsteady Flow in Compound Channels (복합 부수로의 비정상 유동이 유발하는 난류열전달 증진에 대한 LES 해석)

  • Hong, Seong-Ho;Shin, Jong-Keun;Choi, Young-Don
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • 제23권2호
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    • pp.132-138
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    • 2011
  • In the present article, we investigate numerically turbulent flow of air through compound rectangular channels. Large eddy simulation(LES) is employed for unsteady turbulence modeling. LES gives better predictions for the axial mean velocity distribution than those of other turbulent models. Strong large-scale quasi-periodic flow oscillations are observed in most of the geometries investigated. Such large-scale flow oscillations in compound rectangular channels are similar to the quasi-periodic flow pulsation through the gaps between fuel rod bundle in nuclear reactor. It exists in any longitudinal connecting gap between two flow channels. The frequency of this flow oscillation is determined by the geometry of the gap. The large scale cross motions through the rectangular compound channels induce significant heat transfer enhancement of the compound channel flow.

Optimal output feedback design for discrete large scale systems with two time-scale separation properties

  • Jin, Jong-Sam;Kim, Soo-Joong
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 16-17 Oct. 1987
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    • pp.203-208
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    • 1987
  • Design problem of output feedback controllers for discrete large scale systems using simplified model is investigated. It is shown that neglecting fast modes does not generally guarantee the stability of the closed loop system. In this paper, the design procedure is proposed to stabilize the system by minimizing a quadratic cost function for the simplified model and a measure of stability for the neglected fast model.

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A Study on Dynamic Address Autoconfiguration for Large-sclae MANET (Large-scale MANET에서의 동적 주소 할당에 관한 연구)

  • 현정조;황진옥;민성기
    • Proceedings of the Korean Information Science Society Conference
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    • 한국정보과학회 2004년도 봄 학술발표논문집 Vol.31 No.1 (A)
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    • pp.598-600
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    • 2004
  • Mobile Ad hoc Network (MANET)는 자율적으로 작동할 수 있는 멀티 홈 무선 네트워크로서 토폴로지 변화가 자주 일어나며 예측할 수 없는 특성을 갖는다. 특히 scale 이 큰 MANET 환경에서는 더욱더 예측할 수 없는 특성을 갖게 된다. 최근 MANET에서의 라우팅을 하기 위한 주소 할당에 관심이 모아지고 있는 상황에서 각 노드는 DHCP 같은 서버의 역할 없이 주소를 할당할 수 있는 기능을 가져야 하며, 이동 단말들이 모두 IP stack을 지원하는 것을 감안해서 IP주소를 사용해야할 것이다. 따라서 본 논문에서는 scale이 큰 MANET 환경에서 동적으로 IP 주소를 할당하는 방법을 제안한다.

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A Study on the Framework of Cutover Decision Making on Large-scale IS Development Projects: A Core Banking Development Case of D Bank (대규모 정보시스템 개발 프로젝트의 컷오버 의사결정 프레임워크에 관한 연구: D은행 코어뱅킹 시스템 구축 사례를 중심으로)

  • Jeong, Cheon-Su;Ahn, Hyun-Chul;Jeong, Seung-Ryul
    • Information Systems Review
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    • 제14권1호
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    • pp.1-19
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    • 2012
  • A large-scale IS development project takes a long time, thus its project manager needs to be more careful on risk management. In particular, appropriate cutover decision making is critical in large-scale IS development projects because the opening of the large-scale IS significantly impacts the organization. Regardless of its importance, cutover decision making in conventional IS development projects has been done in a quite simple way. Conventional cutover decisions have been made by considering just whether the new IS operates or not from the system, application, and data implementation perspectives. However, this approach may lead to unsatisfactory performance or system failure in complex large-scale IS development. Under this background, we propose a new framework for cutover decision making on large-scale IS projects. To validate the applicability, we applied the framework to a core banking system development case. The case study shows that our framework is effective in proper cutover decision making.

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Implementation of the Large-scale Data Signature System Using Hash Tree Replication Approach (해시 트리 기반의 대규모 데이터 서명 시스템 구현)

  • Park, Seung Kyu
    • Convergence Security Journal
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    • 제18권1호
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    • pp.19-31
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    • 2018
  • As the ICT technologies advance, the unprecedently large amount of digital data is created, transferred, stored, and utilized in every industry. With the data scale extension and the applying technologies advancement, the new services emerging from the use of large scale data make our living more convenient and useful. But the cybercrimes such as data forgery and/or change of data generation time are also increasing. For the data security against the cybercrimes, the technology for data integrity and the time verification are necessary. Today, public key based signature technology is the most commonly used. But a lot of costly system resources and the additional infra to manage the certificates and keys for using it make it impractical to use in the large-scale data environment. In this research, a new and far less system resources consuming signature technology for large scale data, based on the Hash Function and Merkle tree, is introduced. An improved method for processing the distributed hash trees is also suggested to mitigate the disruptions by server failures. The prototype system was implemented, and its performance was evaluated. The results show that the technology can be effectively used in a variety of areas like cloud computing, IoT, big data, fin-tech, etc., which produce a large-scale data.

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