• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 2009년도 추계학술대회
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• pp.131-135
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• 2009

This paper considers the sequencing of products in car assembly lines. The sequence which minimizes overall utility work in car assembly lines reduce the cycle time and the risk of conveyor stopping. The sequencing problem is solved using Tabu Search. Tabu Search is a heuristic method which can provide a near optimal solution in real time. The performance of proposed technique is compared with existing heuristic methods in terms of solution quality and computation time. Various examples are presented and experimental results are reported to demonstrate the efficiency of the technique.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권4호
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• pp.711-725
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• 2013

A heuristic with multi-byte suffix matching plays an important role in real pattern matching algorithms. By skipping many characters at a time in the process of comparing a given pattern with the text, the pattern matching algorithm based on a heuristic with multi-byte suffix matching shows a faster average search time than algorithms based on deterministic finite automata. Based on various experimental results and simulations, the previous works show that the pattern matching algorithms with multi-byte suffix matching performs well. However, there have been limited studies on the mathematical model for analyzing the performance in a standard manner. In this paper, we propose a new probabilistic model, which evaluates the performance of a heuristic with multi-byte suffix matching in an average-case search. When the theoretical analysis results and experimental results were compared, the proposed probabilistic model was found to be sufficient for evaluating the performance of a heuristic with suffix matching in the real pattern matching algorithms.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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• pp.316-319
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• 2009

Currently for exploring marine resources, After confirming the location of the resources by controlling search equipment and sensor module in research vessel, the method which collects sample of searched resources and analyzes the quality and a contents of the resources in research vessel is been applying. This search method is structure which analyzes an ingredient in ship and decides the quality of the resources. And real-time processing for an effective resources search is been demanding. Therefore in this paper, we have developed a resources identification algorithm that can display the type feature of resources by real-time 3D Graphic.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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• pp.141-142
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• 2007

The world-wide various nations is doing the development competition of marine resources for solving supply and non balance of the resources in compliance with depleting the land resources. Currently for exploring marine resources, After confirming the location of the resources by controlling search equipment and sensor module in research vessel, the method which collects sample of searched resources and analyzes the quality and a contents of the resources in research vessel is been applying. This search method is structure which analyzes an ingredient in ship and decides the quality of the resources. And real-time processing for an effective resources search is been demanding. Therefore in this paper, we have developed a resources identification algorithm that can display the type feature of resources by real-time 3D Graphic.

• 한국시뮬레이션학회논문지
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• 제22권2호
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• pp.53-62
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• 2013

클라우드 환경은 분산컴퓨팅 분야의 한가지로서, 물리 노드와 가상 노드로 구성이 되어 있다. 분산화 된 클라우드 환경에서의 최적 경로 탐색은 각 노드들이 최적 경로 탐색을 수행하는 것이다. 실시간으로 급변하는 탐색 환경은 빠른 데이터 전송을 통한 각 노드들의 동기화를 요구한다. 따라서 QoS의 보장과 최적 경로 탐색을 위해서 양자화 기법이 필요하다. 양자화 기법을 통해 중앙 서버는 각 노드로 실시간 탐색 환경 데이터를 빠르게 전송가능하며 각 노드들은 원활하게 최적 경로 탐색을 수행할 수 있다. 본 논문에서는 중앙 서버에서 각 노드들의 최적 경로 탐색 문제를 해결하기 위해 데이터의 전송량을 줄일 수 있는 양자화를 적용한다. 최적 경로 생성 시스템에 양자화 데이터 전송을 적용하는 실험을 하기 위해 클라우드 환경의 시뮬레이션을 구성하였다. 양자화 기법의 적용을 통해 클라우드 환경에서 전송 되는 총 데이터를 줄이면서 성능을 높일 수 있으며, 최적 경로 탐색을 위한 어플리케이션의 QoS를 보장할 수 있다.

• JSTS:Journal of Semiconductor Technology and Science
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• 제13권5호
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• pp.430-442
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• 2013

This paper presents a fast multi-reference frame integer motion estimator for H.264/AVC. The proposed system uses the previously proposed fast multi-reference frame algorithm. The previously proposed algorithm executes a full search area motion estimation in reference frames 0 and 1. After that, the search areas of motion estimation in reference frames 2, 3 and 4 are minimized by a linear relationship between the motion vector and the distances from the current frame to the reference frames. For hardware implementation, the modified algorithm optimizes the search area, reduces the overlapping search area and modifies a division equation. Because the search area is reduced, the amount of computation is reduced by 58.7%. In experimental results, the modified algorithm shows an increase of bit-rate in 0.36% when compared with the five reference frame standard. The pipeline structure and the memory controller are also adopted for real-time video encoding. The proposed system is implemented using 0.13 um CMOS technology, and the gate count is 1089K with 6.50 KB of internal SRAM. It can encode a Full HD video ($1920{\times}1080P@30Hz$) in real-time at a 135 MHz clock speed with 5 reference frames.

• 한국전자파학회논문지
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• 제25권10호
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• pp.1050-1061
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• 2014

항공기 레이더는 하방 또는 사방의 공대공 표적을 탐지/추적하기 위하여 보통 MPRF 파형을 사용한다. 항공기용 레이더가 MPRF 파형을 운용하기 위하여, 거리/속도에서 존재하는 모호성을 해결하면서 클러터를 회피하여 하방 공대공 표적을 탐지할 수 있는 최적의 PRF들을 선택하여 운용할 수 있어야 한다. 이 논문은 실시간 환경변화 상황에서 표적을 탐지/추적하기 위한 최적의 PRF들을 실시간으로 찾는 방법을 제시한다.

• 대한전기학회논문지:전력기술부문A
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• 제48권6호
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• pp.781-788
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• 1999

In this paper, an expert system is proposed, which can be effectively applied to the large-scale systems with the diversity time constraints, the objectives and the unfixed system structure. The inference scheme of the expert system have the integrated structure composed of the intuitive inference module and logical inference module in order to support effectively the operating constraints of system. The intuitive inference module is designed using the pattern matching or pattern recognition method in order to search a same or similar pattern under the fixed system structure. On the other hand, the logical inference module is designed as the structure with the multiple inference mode based on the heuristic search method in order to determine the optimal or near optimal control strategies satisfing the time constraints for system events under the unfixed system structure, and in order to use as knowledge generator. Here, inference mode consists of the best-first, the local-minimum tree, the breadth-iterative, the limited search width/time method. Finally, the application results for large-scale distribution SCADA system proves that the inference scheme of the expert system is very effective for the large-scale system. The expert system is implemented in C language for the dynamic mamory allocation method, database interface, compatability.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 춘계학술대회논문집B
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• pp.105-109
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• 2001

This paper discuss the real-time self-tuning learning control based on evolutionary computation, which proves its the superiority in the finding of the optimal solution at the off-line learning method. The individuals are reduced in order to learn the evolutionary strategy in real-time, and new method that guarantee the convergence of evolutionary mutations are proposed. It possible to control the control object varied as time changes. As the state value of the control object is generated, applied evolutionary strategy each sampling time because the learning process of an estimation, selection, mutation in real-time. These algorithms can be applied, the people who do not have knowledge about the technical tuning of dynamic systems could design the controller or problems in which the characteristics of the system dynamics are slightly varied as time changes.

• 대한기계학회논문집A
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• 제27권9호
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• pp.1463-1468
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• 2003

This paper presented the real-time self-tuning learning control based on evolutionary computation, which proves its superiority in finding of the optimal solution at the off-line learning method. The individuals of the populations are reduced in order to learn the evolutionary strategy in real-time, and new method that guarantee the convergence of evolutionary mutations is proposed. It is possible to control the control object slightly varied as time changes. As the state value of the control object is generated, evolutionary strategy is applied each sampling time because the learning process of an estimation, selection, mutation is done in real-time. These algorithms can be applied; the people who do not have knowledge about the technical tuning of dynamic systems could design the controller or problems in which the characteristics of the system dynamics are slightly varied as time changes.