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The Trends of IT Convergence in Korea
이성열,Lee, Sung-Youl Korea Society of Industrial Information Systems 2012 한국산업정보학회논문지 Vol.17 No.7
These days, the environment of IT development goes through converging with various industries and technologies. Also, it accelerates to pioneer new markets and develop new technologies. This trend becomes one of the most important factors to explore new national growth engines in Korea. Thus, this research examines current trends of IT convergence in Korea. The strategic characteristics of IT convergence in overseas are briefly explained for comparing purpose. The governmental strategies or efforts regarding the IT convergence have been surveyed. Some example convergences of LG, Samsung, and POSCO as major IT industries in Korea have been introduced. It also identifies several buzz concepts in this field. The study aims to provide an insight about the activities that are happening in the field of IT convergence in Korea. Finally, the findings through the research have been summarized.
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이성열 대한전자공학회 2011 電子工學會論文誌-SC (System and control) Vol.48 No.3
This paper presents the observer based output feedback control design for linear systems which have both input and output time delay. Sufficient conditions for existence of stabilizing output feedback controller are characterized by linear matrix inequalities. Since the condition of the proposed design depends on the value of time delay, it is less conservative than existing delay-independent approaches. Finally, an illustrative example is given in order to show the effectiveness of our design method. 본 논문에서는 입력과 출력에 동시에 시간 지연이 존재하는 선형시스템에 대한 관측기 기반의 출력피드백 제어방법을 제안한다. 선형행렬 부등식을 이용하여 출력 피드백 안정화 제어기가 존재할 충분조건을 유도한다. 입출력 시간지연을 모두 고려했다는 점과 관측기 기반의 출력 피드백제어기 라는 점에서 기존의 연구결과와 차별성을 가진다. 마지막으로 제안한 결과의 유효성을 증명하기 위하여 모의실험 예제를 제공한다.
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이성열 한국경영과학회 2002 한국경영과학회 학술대회논문집 Vol.2002-A No.-
This paper presents a meta-heuristic solution technique, Ant System (AS) algorithm to solve Process Routing (PR) problem. The AS algorithm has been successfully applied to several NP-hard combinatorial optimization problems such as TSP problem, assignment problem, and vehicle routing problem since last a decade. The concept of the AS algorithm has been inspired by the behavior of real ant colonies, in particular by their foraging behavior, in order to easily apply the AS algorithm into PR problem, the PR problem has been formulated in flow network and the PR solution has been encoded into state permutation format The experimental result proves that the AS algorithm is among the best available algorithms.
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