• 한국조명전기설비학회지:조명전기설비
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• 제9권2호
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• pp.68-78
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• 1995

지금까지 공동주택에서 전력감시반은 지하실에 설치된 그래픽보드를 이용하여 감시를 수행하고 있으나, 공동주택에서의 인력구조와 시스템특성상 적절한 감시방법이라고 할 수 없다. 따라서 본 논문에서는 컴퓨터를 이용한 인텔리전트 감시시스템을 제안하였다. 제안된 감시반은 직렬통신방식을 이용한 집중감시시스템으로 설비를 디자인된 화면으로 실시간 감시하고 사용이력과 고장진단을 위한 지식베이스를 구현하여 감시반 효율성의 향상과 감시반의 공사비 절감을 유도하였으며, 실시간 O.S는 Trend 940을 이용하였다.

• 한국정보처리학회논문지
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• 제3권1호
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• pp.107-117
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• 1996

본 논문에서는 가상 공유 기억장치(VSM)를 기반으로 에이전트들간의 통신 및 협조 가 이루어지는 분산 문제 해결(DPS)을 위한 개념적 모델을 제안하였다. 이 모델에서 DPS 시스템을 구성하는 모든 에이전트는 분산된 환경에 있는 모든 기억장치를 단일의 공유 기억장치로서 취급하며, 따라서 그 곳에 있는 모든 데이터와 작업, 실행 결과 등을 엑세스할 수 있다. 에이전트들이 데이타와 실행의 중간 결과 및 다른 에이전트에게 요 청할 작업등을 VSM에 출력하고, 또한 VSM의 내용을 읽거나 실행함 으로써 하나의 복잡한 문제를 협조적으로 해결하게 된다. 또한, 본 논문에서는 제안한 모델을 기반으로 DPS 시스템을 구축 할 수 있도록 Network Linda를 이용하여 DPS 시스템 개발 환경(DPS-VSM) 을 설계하였다. 또, VSM을 기반으로 하는 DPS 시스템을 시뮬레이션한 예를 제시함으로써 제안한 모델의 유용성을 보이고, DPS-VSM과 기존의 다른 DAL 프로그래밍 쉘의 특성을 비교함으로써 제안한 모델을 분석하였다.

• 과학기술학연구
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• 제19권1호
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• pp.53-90
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• 2019

본 연구는 공공연구기관에서 선도적으로 추진되고 있는 사회문제 해결형 연구개발 사례를 분석하고 그 의미를 논의한다. 사례 분석의 대상은 위생과 환경문제에 대응하여 자원순환형 음식물쓰레기 처리시스템을 구축하는 연구개발사업이다. 사례연구를 통해 드러난 특징은 다음과 같다. 동 사업에서는 빠른 시스템 개발을 위해 C&SD(connect and solution development) 전략을 사용하였다. 그리고 시스템의 경제 사회적 수용성을 높이기 위해 시민, 기존 업체, 지자체와 밀도 있는 네트워크를 형성했다. 또 법 제도 개선 문제도 작은 문제부터 해결해나가는 접근을 취했다. 하향식으로 새로운 시스템을 개발하는 방식보다는 문제해결을 빠르고 쉽게 하기 위해 기존의 기술과 주체들을 활용하는 재조합 혁신 방식을 택했다.

• Computers and Concrete
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• 제12권3호
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• pp.261-283
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• 2013

This paper aims to contribute to the three-dimensional generalization of numerical prediction of crack propagation through the formulation of finite elements with embedded discontinuities. The analysis of crack propagation in two-dimensional problems yields lines of discontinuity that can be tracked in a relatively simple way through the sequential construction of straight line segments oriented according to the direction of failure within each finite element in the solid. In three-dimensional analysis, the construction of the discontinuity path is more complex because it requires the creation of plane surfaces within each element, which must be continuous between the elements. In the method proposed by Chaves (2003) the crack is determined by solving a problem analogous to the heat conduction problem, established from local failure orientations, based on the stress state of the mechanical problem. To minimize the computational effort, in this paper a new strategy is proposed whereby the analysis for tracking the discontinuity path is restricted to the domain formed by some elements near the crack surface that develops along the loading process. The proposed methodology is validated by performing three-dimensional analyses of basic problems of experimental fractures and comparing their results with those reported in the literature.

• Journal of Communications and Networks
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• 제18권5호
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• pp.725-734
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• 2016

For multi-mode radar signals in complex electromagnetic environment, different modes of one emitter tend to be deinterleaved into several emitters, called as "extension", when processing received signals by use of existing sorting methods. The "extension" problem inevitably deteriorates the sorting performance of multi-mode radar signals. In this paper, a novel method based on spatial data mining is presented to address above challenge. Based on theories of data field, we describe the distribution information of feature parameters using potential field, and makes partition clustering of parameter samples according to revealed distribution features. Additionally, an evaluation criterion based on cloud model membership is established to measure the relevance between different cluster-classes, which provides important spatial knowledge for the solution of the "extension" problem. It is shown through numerical simulations that the proposed method is effective on solving the "extension" problem in multi-mode radar signal sorting, and can achieve higher correct sorting rate.

• 정보처리학회논문지D
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• 제10D권4호
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• pp.679-688
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• 2003

지놈 서열 시퀀싱을 통해 생성되는 원시 데이터에 대한 단백질 기능 및 구조 예측에 사용되는 모티프 데이터베이스들은 원시 데이터들의 폭발적인 성장추세에 맞추어 그 사용빈도가 증가하고 있다. 그러나 이러한 모티프 데이터베이스들은 독자적으로 개발, 발전하여왔고 웹 기반 cross-reference를 이용한 논리적 통합을 추진하여왔기 때문에 이질적인 검색 결과와 복잡한 질의 처리 문제, 중복된 데이터베이스 엔트리 핸들링 문제 등을 갖고 있다. 따라서, 이 논문에서는 이런 문제점들을 개선하기 위하여 물리적인 모티프 자원 통합을 제안하고, 패밀리 기반 단백질 예측 메소드들에 대한 통합 검색 방법을 기술한다. 끝으로 모티프 통합 데이터베이스 구축 및 단백질 모티프 예측 시스템 구현을 통한 결과를 평가한다.

• 한국소음진동공학회논문집
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• 제16권7호
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• pp.712-719
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• 2006

This paper is concerned with the comparison of substructure synthesis methods based on global and local coordinates. The substructure synthesis methods based on the global coordinates were first proposed for the dynamic analysis of complex structure and the substructure synthesis method based on the local coordinates was proposed to solve the dynamic problem of tree-like structure. However, the conceptual difference between two methods in solving the dynamic problem has never been explained. In this paper, a structure consisting of two beams is considered to show the conceptual difference of two methods. The dynamic formulation shows the characteristics and differences of two methods explicitly. The procedure for choosing proper substructure modes in each method is also explained in detail. In addition, the advantage of the substructure synthesis method based on the local coordinate system is discussed based on the numerical example. Numerical examples show how two methods are applied to the addressed problem.

• 산업공학
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• 제25권2호
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• pp.264-275
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• 2012

The process of semiconductor(IC Package) manufacturing usually includes lots of complex and sequential processes. Many kinds of equipments are installed with the mixed concept of serial and parallel manufacturing system. The business environments of the semiconductor industry have been changed frequently, because new technologies are developed continuously. It is the main reason of new investment plan and layout consideration. However, it is difficult to change the layout after installation, because the major equipments are expensive and difficult to move. Furthermore, it is usually a multiple-objective problem. Thus, new investment or layout change should be carefully considered when the production environments likewise product mix and production quantity are changed. This paper introduces a simulation case study of a Korean company that produces packaging substrates(especially lead frames) and requires multi-objective decision support. $QUEST^{(R)}$ is used for simulation modelling and AHP(Analytic Hierarchy Process) and DEA(Data Envelopment Analysis) are used for weighting of qualitative performance measures and solving multiple-objective layout problem, respectively.

• 한국군사과학기술학회지
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• 제23권4호
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• pp.399-406
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• 2020

In this paper, we propose a time-varying proportional navigation guidance law that determines the proportional navigation gain in real-time according to the operating situation. When intercepting a target, an unidentified evasion strategy causes a loss of optimality. To compensate for this problem, proper proportional navigation gain is derived at every time step by solving an optimal control problem with the inferred evader's strategy. Recently, deep reinforcement learning algorithms are introduced to deal with complex optimal control problem efficiently. We adapt the actor-critic method to build a proportional navigation gain network and the network is trained by the Proximal Policy Optimization(PPO) algorithm to learn an evasion strategy of the target. Numerical experiments show the effectiveness and optimality of the proposed method.

• Structural Engineering and Mechanics
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• 제55권6호
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• pp.1121-1137
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• 2015

High powered computers and engineering computer systems allow designers to routinely simulate complex physical phenomena. The presented work deals with the analysis of two finite element method optimization techniques (First Order Method-FOM and Subproblem Approximation Method-SAM) implemented in the individual Design Optimization module in the Ansys software to analyze the behavior of real problems. A design optimization is a difficult mathematical process, intended to find the minimum or maximum of an objective function, which is mostly based on iterative procedure. Using optimization techniques in engineering designs requires detailed knowledge of the analyzed problem but also an ability to select the appropriate optimization method. The methods embedded in advanced computer software are based on different optimization techniques and their efficiency is significantly influenced by the specific character of a problem. The efficiency, robustness and accuracy of the methods are studied through strictly convex two-dimensional optimization problem, which is represented by volume minimization of two bars' plane frame structure subjected to maximal vertical displacement limit. Advantages and disadvantages of the methods are described and some practical tips provided which could be beneficial in any efficient engineering design by using an optimization method.