• Title/Summary/Keyword: 지역 탐색

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Optimal solution search method by using modified local updating rule in ACS-subpath algorithm (부경로를 이용한 ACS 탐색에서 수정된 지역갱신규칙을 이용한 최적해 탐색 기법)

  • Hong, SeokMi;Lee, Seung-Gwan
    • Journal of Digital Convergence
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    • v.11 no.11
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    • pp.443-448
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    • 2013
  • Ant Colony System(ACS) is a meta heuristic approach based on biology in order to solve combinatorial optimization problem. It is based on the tracing action of real ants which accumulate pheromone on the passed path and uses as communication medium. In order to search the optimal path, ACS requires to explore various edges. In existing ACS, the local updating rule assigns the same pheromone to visited edge. In this paper, our local updating rule gives the pheromone according to the total frequency of visits of the currently selected node in the previous iteration. I used the ACS algoritm using subpath for search. Our approach can have less local optima than existing ACS and find better solution by taking advantage of more informations during searching.

The Efficient Edge Detection using Genetic Algorithms and Back-Propagation Network (유전자와 역전파 알고리즘을 이용한 효율적인 윤곽선 추출)

  • Park, Chan-Lan;Lee, Woong-Ki
    • The Transactions of the Korea Information Processing Society
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    • v.5 no.11
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    • pp.3010-3023
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    • 1998
  • GA has a fast convergence speed in searching the one point around optimal value. But it's convergence time increase in searching the region around optimal value because it has no regional searching mechanism. BP has the tendency to converge the local minimum because it has global searching mechanism. To overcome these problems, a method in which a genetic algorithm and a back propagation are applied in turn is proposed in this paper. By using a genetic algorithm, we compute optimal synaptic strength and offset value. And then, these values are fed to the input of the back propagation. This proposed method is superior to each above method in improving the convergence speed.

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Consensus-based Autonomous Search Algorithm Applied for Swarm of UAVs (군집 무인기 활용을 위한 합의 기반 자율 탐색 알고리즘)

  • Park, Kuk-Kwon;Kwon, Ho-Jun;Choi, Eunju;Ryoo, Chang-Kyung
    • Journal of Advanced Navigation Technology
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    • v.21 no.5
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    • pp.443-449
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    • 2017
  • Swarm of low-cost UAVs for search mission has benefit in the sense of rapid search compared to use of single high-end UAV. As the number of UAVs forming swarm increases, not only the time for the mission planning increases, but also the system to operate UAVs has excessive burden. This paper addresses a decentralized area search algorithm adequate for multiple UAVs which takes advantages of flexibility, robustness, and simplicity. To down the cost, it is assumed that each UAV has limited ability: close-communication, basic calculation, and limited memory. In close-communication, heath conditions and search information are shared. And collision avoidance and consensus of next search direction are then done. To increase weight on un-searched area and to provide overlapped search, the score function is introduced. Performance and operational characteristics of the proposed search algorithm and mission planning logic are verified via numerical simulations.

Optimal Region Deployment for Cooperative Exploration of Swarm Robots (군집로봇의 협조 탐색을 위한 최적 영역 배치)

  • Bang, Mun Seop;Joo, Young Hoon;Ji, Sang Hoon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.6
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    • pp.687-693
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    • 2012
  • In this paper, we propose a optimal deployment method for cooperative exploration of swarm robots. The proposed method consists of two parts such as optimal deployment and path planning. The optimal area deployment is proposed by the K-mean Algorithm and Voronoi tessellation. The path planning is proposed by the potential field method and A* Algorithm. Finally, the numerical experiments demonstrate the effectiveness and feasibility of the proposed method.

Hybrid Genetic Algorithms for Feature Selection and Classification Performance Comparisons (특징 선택을 위한 혼합형 유전 알고리즘과 분류 성능 비교)

  • 오일석;이진선;문병로
    • Journal of KIISE:Software and Applications
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    • v.31 no.8
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    • pp.1113-1120
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    • 2004
  • This paper proposes a novel hybrid genetic algorithm for the feature selection. Local search operations are devised and embedded in hybrid GAs to fine-tune the search. The operations are parameterized in terms of the fine-tuning power, and their effectiveness and timing requirement are analyzed and compared. Experimentations performed with various standard datasets revealed that the proposed hybrid GA is superior to a simple GA and sequential search algorithms.

The Dynamic Object Detection and Trajectory Representation for Construction of Panoramic Image (파노라믹 영상 구축을 위한 동적 객체 추출과 궤도 표현)

  • Shin, Seong-Yoon;Jang, Dai-Hyun;Shin, Kwang-Seong;Lee, Hyun-Chang;Rhee, Yang-Won
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2011.06a
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    • pp.45-47
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    • 2011
  • 파노라믹 영상에슨 정적 파노라믹 영상과 동적 파노라믹 영상이 있다. 동적 파노라믹 영상을 생성하기 위해서는 먼저 카메라의 움직임을 계산한 후에 객체의 움직임을 식별해야 한다. 본 논문에서는 동적 객체를 추출하기 위하여 우선 어파인 파라미터로 카메라의 움직임을 추출하고, 지역적 탐색으로 객체의 움직임을 탐지한다. 영상에 동적 객체가 있는 경우 동적 객체 판별을 위하여 영역 분할 방법을 이용하여 계산한다. 이러한 동적 객체의 궤도를 나타내기 위하여 먼저 동적 객체를 추출하는데, 4분할 탐색 기법을 이용하여 추출하게 된다. 최종적으로 구축되어진 배경 파노라믹 영상위에 동적 객체의 궤도를 표현한다.

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A survey of leisure participation and leisure exploration of community dwelling stroke patients (지역사회 거주 뇌졸중 환자의 여가 참여 및 여가 탐색 조사)

  • Jeong, Eun-Hwa
    • Journal of Industrial Convergence
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    • v.18 no.4
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    • pp.41-49
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    • 2020
  • The purpose of this study was to provide basic information on leisure participation and leisure exploration of community-dwelling stroke patients through a multi-dimensional leisure participation evaluation tool. The subjects in this study were 35 people living with stroke in the community. As a result of study, the most involved leisure activities were in order of watching TV, communicating, and exercise alone. Most of the satisfaction level of leisure participation was 7-10 points, but exercise alone was 5.2 points due to the purpose of health management. Leisure exploration was the most frequent exercise alone and sports, and interest was 8-10 points. The most important obstacles for leisure participation were physical problems depending on the nature of the stroke disease. Through the results of this study, it is necessary to activate a stroke patient's discharge plan and activate a community stroke patient's leisure intervention program so that they can participate in leisure activities of their choice through voluntary leisure exploration.

Optimal Control of Voltage and Reactive Power in Local Area Using Genetic Algorithm (유전알고리즘을 이용한 지역계통의 전압 및 무효전력 최적제어)

  • 김종율;김학만;남기영
    • Journal of Energy Engineering
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    • v.12 no.1
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    • pp.42-48
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    • 2003
  • In system planing and operation, voltage and reactive power control is very important. The voltage deviation and system losses can be reduced through control of reactive power sources. In general, there are several different reactive power sources, we used switched shunt capacitor to improve the voltage profile and to reduce system losses. Since there are many switched shunt capacitors in power system, so it if necessary to coordinate these switched shunt capacitors. In this study, Genetic Algorithm (GA) is used to find optimal coordination of switched shunt capacitors in a local area of power system. In case study, the effectiveness of the proposed method is demonstrated in KEPCO's power system. The simulation is performed by PSS/E and the results of simulation are compared with sensitivity method.

Evaluation of Novel Method of Hand Gesture Input to Define Automatic Scanning Path for UAV SAR Missions (손 제스처를 이용하여 탐색 구조용 무인항공기의 자동 스캐닝 경로를 정의하는 가상현실 입력방법 개발 및 평가)

  • Chang-Geun Oh
    • Journal of Advanced Navigation Technology
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    • v.27 no.4
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    • pp.473-480
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    • 2023
  • This study evaluated a novel method of defining the automatic flight path of unmanned aerial vehicles (UAVs) for search and rescue missions in a VR environment. The developed VR content reserves miniature digital twins of a building in the fire and a steep mountain terrain site. The users drow the UAV's scanning path using hand gestures on the surface of digital twins, and then the UAV make an automatic flight along the defined path. According to human-in-the-loop simulation tests comparing the novel method with a conventional manual flight task with 19 participants, the novel method did not improve the mission performance but participants felt a lower mental workload. The designer may need to consider the automation support on the vulnerable points of the SAR mission environment while maintaining experts' mapping capability.

The Exploratory Study on Community Link of Community Childcare Center (지역아동센터의 지역사회연계에 관한 탐색적 연구)

  • Kim, Nam-Sook
    • Journal of Digital Convergence
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    • v.11 no.12
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    • pp.803-810
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    • 2013
  • Since 2004, community childcare centers are legislated and the centers are running as the concept of community-oriented child welfare services. Recently child welfare paradigm are changed from simple "study room" for protection to the future capabilities of the "social welfare". For children who grow in their community, it must request to new construction with ecological system.