• 정보처리학회논문지A
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• 제16A권1호
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• pp.35-42
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• 2009

이 논문은 지능형 로봇을 위한 새로운 커버리지 알고리즘을 제안한다. 커버리지 알고리즘의 성능을 향상하기 위한 많은 연구들은 전체 커버리지 완료 시간을 최소화하는데 초점을 맞추어왔다. 그러나, 만일 전체 커버리지를 완료하기에 충분한 시간이 없다면, 최적의 경로는 달라질 수 있다. 이러한 문제를 해결하기 위하여 본 논문에서는 MaxCoverage라고 하는 데드라인이 있을 경우에 가능한 많은 면적을 커버하기 위한 새로운 커버리지 알고리즘을 제안한다. MaxCoverage 알고리즘은 이동 경로를 셋 커버 문제를 위한 그리디 알고리즘을 이용하여 결정한다. 실험 결과에 의하면 MaxCoverage 알고리즘은 임의의 데드라인에 대하여 다른 알고리즘들에 비해 향상된 성능을 보여준다.

• 한국컴퓨터정보학회논문지
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• 제15권1호
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• pp.61-69
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• 2010

로봇이 동작하는 환경을 완벽하게 커버리지 하기 위해서는 전체환경 지도를 가지고 있어야 한다. 그러나 대부분의 기존 커버리지 알고리즘은 로봇이 동작하기 전 사전에 생성된 지도가 있어야 동작 한다. 이런 이유로 기존의 커버리지 알고리즘은 미지의 환경에 바로 적용할 수 없는 문제를 가지고 있다. 미지의 환경에서 로봇이 모든 영역을 커버리지 하기위해서는 로봇스스로 환경 지도를 생성할 수 있어야한다. 본 논문에서는 SLAM 알고리즘을 통합하여 미지의 환경에서 로봇이 환경 지도를 생성하며 생성된 지도를 기반으로 커버리지를 수행하는 DmaxCoverage 알고리즘을 제안한다. 시뮬레이션 실험을 통해서 DmaxCoverage 알고리즘이 기존의 커버리지 알고리즘에 비해서 효율적임을 증명하였다.

• Journal of Biosystems Engineering
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• 제38권1호
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• pp.18-24
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• 2013

Purpose: This study was conducted to develop an optimal combine scheduling program using Max-Coverage algorithm which derives the maximum efficiency for a specific location in harvest seasons. Methods: The combine scheduling program was operated with information about combine specification and farmland. Four operating types (Max-Coverage algorithm type, Boustrophedon path type, max quality value type, and max area type) were selected to compare quality and working capacity. Result: The working time of Max-Coverage algorithm type was shorter than others, and the total quality value of Max-Coverage algorithm and max quality value type were higher than others. Conclusion: The developed combine scheduling program using Max-Coverage algorithm will provide optimal operation and maximum quality in a limited area and time.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 추계학술대회
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• pp.848-850
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• 2014

본 논문에서는 이동 에드혹 네트워크(Mobile Ad hoc network: MANET)에서의 상황인식 기반의 스케쥴링 기법인 CSWC(Coverage Scheduling Weight-value Control) 알고리즘을 제안한다. 기존의 LEACH 알고리즘은 확률적 분포 함수에 의해 커버리지 영역 안에 존재 하는 클러스터 헤드노드를 선택하여 중계노드로 통신한다. 하지만 확률적 분포함수에 의해 선택된 헤드 노드가 커버리지 영역에서 전송거리 비율이 비균형으로 나뉘어 전송할 경우, 노드의 에너지 소모가 일정하지 않아 효율적으로 사용하지 못하는 경우가 발생한다. 따라서 본 논문에서는 최적의 커버리지 영역을 설정하여 유지하는 CSWC알고리즘을 제안한다. 본 논문에서 제안하는 알고리즘은 커버리지 영역이 비균형으로 설정되어 있을 경우, 커버러지 영역을 결정하는 홉 수를 증가시켜 최적의 커버리지 영역을 제공하는 알고리즘이다. 주어진 모의실험 환경에서 노드의 효율적인 커버리지 영역을 설정하여 네트워크의 최적화된 에너지 소모를 보여주고 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권10호
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• pp.4804-4822
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• 2017

Coverage problem is a research hot spot in directional sensor networks (DSNs). However, the major problem affecting the performance of the current coverage-enhancing strategies is that they just optimize the coverage of networks, but ignore the maximum number of sleep sensors to save more energy. Aiming to find an approximate optimal method that can cover maximum area with minimum number of active sensors, in this paper, a new scheduling algorithm based on learning automata is proposed to enhance area coverage, and shut off redundant sensors as many as possible. To evaluate the performance of the proposed algorithm, several experiments are conducted. Simulation results indicate that the proposed algorithm have effective performance in terms of coverage enhancement and sleeping sensors compared to the existing algorithms.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권8호
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• pp.3621-3640
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• 2016

In the process of k-coverage of the target node, there will be a lot of data redundancy forcing the phenomenon of congestion which reduces network communication capability and coverage, and accelerates network energy consumption. Therefore, this paper proposes a novel energy balanced k-coverage control algorithm based on probability model (EBKCCA). The algorithm constructs the coverage network model by using the positional relationship between the nodes. By analyzing the network model, the coverage expected value of nodes and the minimum number of nodes in the monitoring area are given. In terms of energy consumption, this paper gives the proportion of energy conversion functions between working nodes and neighboring nodes. By using the function proportional to schedule low energy nodes, we achieve the energy balance of the whole network and optimizing network resources. The last simulation experiments indicate that this algorithm can not only improve the quality of network coverage, but also completely inhibit the rapid energy consumption of node, and extend the network lifetime.

• Journal of Advanced Marine Engineering and Technology
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• 제22권5호
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• pp.687-692
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• 1998

Test pattern generation is one of most difficult problems encountered in automating the design of logic circuits. The goal is to obtain the highest fault coverage with the minimum number of test patterns for a given circuit and fault set. although there have been many deterministic algorithms and heuristics the problem is still highly complex and time-consuming. Therefore new approach-es are needed to augment the existing techniques. This paper considers the problem of test pattern improvement for combinational circuits as a restricted subproblem of the test pattern generation. The problem is to maximize the fault coverage with a fixed number of test patterns for a given cir-cuit and fault set. We propose a new approach by use of a genetic algorithm. In this approach the genetic algorithm evolves test patterns to improve their fault coverage. A fault simulation is used to compute the fault coverage of the test patterns Experimental results show that the genetic algorithm based approach can achieve higher fault coverages than traditional techniques for most combinational circuits. Another advantage of the approach is that the genetic algorithm needs no detailed knowledge of faulty circuits under test.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 심포지엄 논문집 정보 및 제어부문
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• pp.252-254
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• 2005

Completer coverage path planning requires the robot path to cover every part of the workspace, which is an essential issue in cleaning robots and many other robotic applications such as vacuum robots and painter robots. In this paper, a novel Water Flowing Algorithm (WFA) is proposed for cleaning robots to complete coverage path planning in unknown environment without obstacles. The robot covers the whole workspace just like that water fills up a container. First the robot goes to the lowest point in the workspace just like water flows to the bottom of the container. At last the robot will come to highest point in the workspace just like water overflows from the container and simultaneously the robot has covered the whole workspace. The computer simulation results show that the proposed algorithm enable the robot to plan complete coverage paths.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권6호
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• pp.2658-2679
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• 2018

This paper proposes a novel Random Scheduling Algorithm based on Subregion Coverage (RSASC), to solve the SET K-cover problem (an NP-complete problem). SET K-cover problem distributes the set of sensors into the maximum number of mutually exclusive subsets (MESSs) in such a way that each of them can be scheduled for lifetime extension of WSN. Sensor coverage divides the target region into different subregions. RSASC first sorts the subregions in the ascending order concerning their sensor coverage. Then, it forms the subregion groups according to their similar sensor coverage. Lastly, RSASC ensures the K-coverage of each subregion from every group by randomly scheduling the sensors. We consider the target-coverage and area-coverage applications of WSN to analyze the usefulness of our proposed RSASC algorithm. The distinct quality of RSASC is that it utilizes less number of deployed sensors (33% less) to form the optimum number of MESSs with the higher computational speed (saves more than 93% of the time) as compared to the existing three algorithms.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권10호
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• pp.5014-5034
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• 2016

This paper discusses how to effectively guarantee the coverage and connectivity quality of wireless sensor networks when joint perception model is used for the nodes whose communication ranges are multi-level adjustable in the absence of position information. A Connect Coverage Algorithm Based on Joint Sensing model (CCAJS) is proposed, with which least working nodes are chosen based on probability model ensuring the coverage quality of the network. The algorithm can balance the position distribution of selected working nodes as far as possible, as well as reduce the overall energy consumption of the whole network. The simulation results show that, less working nodes are needed to ensure the coverage quality of networks using joint perception model than using the binary perception model. CCAJS can not only satisfy expected coverage quality and connectivity, but also decrease the energy consumption, thereby prolonging the network lifetime.