• Title/Summary/Keyword: Optimal Searching Path

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Design of Mobile Agent Model Supporting the Intelligent Path Search (지능형 경로 탐색을 지원하는 이동 에이전트 모델 설계)

  • Ko, Hyun;Kim, Kwang-Myoung;Lee, Yon-Sik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2002.11a
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    • pp.550-554
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    • 2002
  • In this paper, we design the CORBA-based Mobile-Agent Model (CMAM) which has the capability of the efficient work processing in distributed environment through sensing network traffic and searching the optimal path for migration nodes of mobile agent. In case existing mobile agent model is given various works from user, the network overhead and traffic are increased by increasing of execution module size. Also, if it happens a large quantity of traffics due to migration of nodes according to appointment of the passive host(node) muting schedule by user, it needs much cost for node search time by traffic. Therefore, in this paper, we design a new mobile agent model that assures the reliability of agent's migration through dynamic act on the specific situation according to appointment of the active routing schedule and can minimize agent's work processing time through optimal path search. The proposed model assigns routing schedule of the migration nodes actively using an extended MAFFinder. Also, for decreasing overhead of network by agent's size, it separated by mobile agent including oかy agent calling module and push agent with work executing module based on distributed object type of CORBA. Also, it can reduce the required time for round works of mobile agent through the optimal path search of migration nodes.

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Routing and Collision Avoidance of Linear Motor based Transfer Systems using Online Dynamic Programming

  • Kim, Jeong-Tae;Cho, Hyun-Cheol;Lee, Kwon-Soon
    • Journal of Navigation and Port Research
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    • v.30 no.9
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    • pp.773-777
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    • 2006
  • Significant increase of container flows in the marine terminals requires more efficient port equipments such as logistic and transfer systems. This paper presents collision avoidance and routing approach based on dynamic programming (DP) algorithm for a linear motor based shuttle car which is considered as a new transfer system in the port terminals. Most of routing problems are focused on automatic guided vehicle (AGV) systems, but its solutions are hardly utilized for LM based shuttle cars since both are mechanically different. Our proposed DP is implemented for real-time searching of an optimal path for each shuttle car in the Agile port terminal located at California in USA.

A Study on Optimal Path Searching using Fuzzy and GAs (퍼지와 유전 알고리즘을 이용한 최적경로 탐색 연구)

  • An, Dae-Hun;Choe, U-Gyeong;Seo, Jae-Yong;Kim, Seong-Hyeon;Jeon, Hong-Tae
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2007.04a
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    • pp.161-164
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    • 2007
  • 우리는 알지 못하는 장소를 찾기 위해 네비게이션을 이용한다. 아직은 단순히 최단거리를 알려주는 네비게이션이 주를 이루고 있다. 하지만 그 길이 최적의 경로가 되는 것은 아니다. 이 논문에서는 이러한 점을 보완하기 위한 새로운 방법을 제시하고 있다. RFID 리더기와 카드를 이용하여 이용자의 출입을 체크함으로써 실시간으로 변하는 각 장소의 인원현황을 알 수 있다. 그리고 거리, 혼잡도, 선호도 등의 몇 가지 정보들을 토대로 퍼지와 유전자 알고리즘을 기반으로 하는 TSP를 이용하여 각각의 이용자 성향에 맞는 최적의 경로를 알 수 있다. 접근성을 높이기 위해 최적의 경로를 보여주는 디스플레이를 장착한 로봇을 이용한다. 다양한 컨텐츠를 포함시키면 더욱 발전한 안내 시스템으로서의 구현이 가능하다.

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An Filtering Algorithm for Searching the Optimal Path Considering the Attributes and Distances of the Routing Objects According to Users' Preferences (사용자의 선호도에 따른 경유지의 속성과 거리를 고려한 최적경로 탐색을 위한 필터링 알고리즘)

  • Bao, Weiwei;Kim, Eunju;Park, Yonghun;Yoo, Jaesoo
    • Proceedings of the Korea Contents Association Conference
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    • 2011.05a
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    • pp.49-50
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    • 2011
  • 본 논문에서는 출발지부터 목적지까지 가는 도중에 슈퍼, 주유소, 식당 등과 같은 특정 장소를 경유하면서 거리와 서비스 같은 다중 속성을 고려한 최적경로를 탐색 알고리즘을 제안한다. 제안하는 최적경로는 기존 연구와 다르게 거리와 같은 단일 속성만 고려하지 않고, 사용자가 지정하는 가중치를 적용하여 다중 속성을 고려해서 사용자 원하는 경유객체들을 하나씩 포함한다. 기존 알고리즘들은 다중 속성과 사용자의 선호도를 고려한 최적경로를 탐색하는 경우에는 적합하지 않다. 이 문제점을 해결하기 위해서 본 논문에서는 필터링 기법을 이용하여 경유객체를 될 수 없는 객체들을 제거하고 최적경로를 탐색하는 알고리즘을 제안한다. 제안하는 알고리즘의 우수성을 확인하기 위해 다양한 성능평가를 수행한다.

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Adaptive Migration of Mobile Agent Using Optimal Path Searching (최적 경로 탐색을 이용한 이동 에이전트의 적응적 이주)

  • Lee, Yon-Sik;Kim, Kwang-Jong;Choi, Young-Chun
    • Proceedings of the Korean Information Science Society Conference
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    • 2008.06d
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    • pp.362-366
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    • 2008
  • 본 논문에서는 이동 에이전트의 이주 노드들에 대한 최적 경로 탐색을 통한 적응적 이주 경로 기법을 설계한다. 적응적 이주 경로 기법은 이동 에이전트가 사용자로부터 동일한 작업 요청을 부여 받았을 경우 일반적으로 전체 노드를 순회하지 않고 이주할 노드를 선택함으로써 수행되어진다. 그러나 이주 수행시 네트워크 환경 변화 및 부하로 인해 트래픽이 증가된 경우에는 스케줄링된 목적 노드로의 이주가 원활히 수행되지 못하므로 노드 순회 시간 비용이 증가하게 된다. 따라서 본 논문에서는 이러한 상황을 해결하기 위해 최적으로 이주 노드들의 경로를 지정하는 경로 탐색 알고리즘을 통해 에이전트의 노드 이주 시간 비용을 최소화할 수 있는 이주 기법을 제안한다. 제안된 기법은 이동 에이전트의 이주 신뢰성을 확보하며 순회 작업 처리 시 효율성을 높일 수 있다.

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Speed Control Strategy of Soccer Robot using Genetic Algorithms (유전자 알고리즘을 이용한 축구로봇의 속도 제어 전략)

  • Shim, Kwee-Bo;Kim, Jee-Youn;Kim, Hyun-Young
    • Journal of the Korean Institute of Intelligent Systems
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    • v.12 no.3
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    • pp.275-281
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    • 2002
  • In this paper, in order to make a desired velocity and moving pattern of soccer robot, we Propose the speed control function with several parameters which represent the reflection ratio of distance and angle error etc. These parameter influence on the determining the speed and moving path of soccer robot. And we propose the searching method for these parameters by using genetic algorithms. As a result of finding the optimal parameter, we can move the robot more quickly in accordance with objective under variable environment.

Improvement of Telematics Technology Utilizing Logistics Information (물류정보를 활용한 텔레매틱스 기술 개선방안)

  • Byeon, Eui-Seok
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.32 no.2
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    • pp.38-44
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    • 2009
  • Recently, automobile industry expands from mechatronics area through intelligent information area, and the telematics technology is one of the greatest developing points. The telematics is utilizing the on-board-unit of vehicle's communication system, and it provides necessary information and value-added service to vehicles as well as drivers. Most of the telematics offers the solution of searching a route or generates an optimal path. This paper investigates telematics with the logistics point of view, such as freight location tracking, vehicle emergency information, etc. The telematics is a core technology of automobile industry, and it becomes new business paradigm of IP(information provider). Especially, ETA(estimated arrival time) of freight and distribution tracing information are critical issues in the logistics industry. The successful integration with telematics is introduced in the paper.

Optimal Path Searching Algorithm for AGV (AGV의 최적 경로 탐색 알고리즘)

  • Kim, Jong-Seon;Kim, Se-Jin;Joo, Young-Hoon
    • Proceedings of the KIEE Conference
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    • 2007.10a
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    • pp.309-310
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    • 2007
  • 본 논문은 AGV를 사용하는 물류자동화 공장에서 운송 시간을 단축하기 위해 최단 다 경로 알고리즘을 제안한다. 최단 다 경로 알고리즘은 A* 알고리즘을 보완한 것으로써 경로 분기점에서 최단 거리 선택을 위한 휴리스틱 함수($\hat{h}$(n))보다 작은 모든 간을 선택하여 저장하고 이를 재 탐색함으로써 다수의 경로를 생성한다. 생성된 경로를 본 논문에서 제안하는 소요시간 산출 방법을 이용하여 예상 소요 시간을 산출함으로써 최단시간에 목적지에 도달 가능한 최적 경로를 선택할 수 있음을 증명한다.

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Planning Evacuation Routes with Load Balancing in Indoor Building Environments (실내 빌딩 환경에서 부하 균등을 고려한 대피경로 산출)

  • Jang, Minsoo;Lim, Kyungshik
    • KIPS Transactions on Computer and Communication Systems
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    • v.5 no.7
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    • pp.159-172
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    • 2016
  • This paper presents a novel algorithm for searching evacuation paths in indoor disaster environments. The proposed method significantly improves the time complexity to find the paths to the evacuation exit by introducing a light-weight Disaster Evacuation Graph (DEG) for a building in terms of the size of the graph. With the DEG, the method also considers load balancing and bottleneck capacity of the paths to the evacuation exit simultaneously. The behavior of the algorithm consists of two phases: horizontal tiering (HT) and vertical tiering (VT). The HT phase finds a possible optimal path from anywhere of a specific floor to the evacuation stairs of the floor. Thus, after finishing the HT phases of all floors in parallel the VT phase begins to integrate all results from the previous HT phases to determine a evacuation path from anywhere of a floor to the safety zone of the building that could be the entrance or the roof of the building. It should be noted that the path produced by the algorithm. And, in order to define the range of graph to process, tiering scheme is used. In order to test the performance of the method, computing times and evacuation times are compared to the existing path searching algorithms. The result shows the proposed method is better than the existing algorithms in terms of the computing time and evacuation time. It is useful in a large-scale building to find the evacuation routes for evacuees quickly.

Economic Analysis of Snow Damage on Sugi (Cryptomeria japonica) Forest Stands in Japan Within the Forest Stand Optimization Framework

  • Yoshimoto, Atsushi;Kato, Akio;Yanagihara, Hirokazu
    • Journal of Forest and Environmental Science
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    • v.24 no.3
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    • pp.143-149
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    • 2008
  • We conduct economic analysis of the snow damage on sugi (Cryptomeria japonica) forest stands in Toyama Prefecture, Japan. We utilize a single tree and distant independent growth simulator called "Silv-Forest." With this growth simulator, we developed an optimization model by dynamic programming, called DP-Silv (Dynamic Programming Silv-Forest). The MS-PATH (multiple stage projection alternative technique) algorithm was embedded as a searching algorithm of dynamic programming. The height / DBH ratio was used to constrain the thinning regime for snow damage protection. The optimal rotation age turned out to be 65 years for the non-restricted case, while it was 50 years for the restricted case. The difference in NPV of these two cases as the induced costs ranged from 179,867 to 1,910,713yen/ha over the rotation age of 20 to 75 years. Under the optimal rotation of 65 years, the cost became 914,226 yen/ha. The estimated annual payment based on the difference in NPV, was from 9,869 yen/ha/yr to 85,900 yen/ha/yr. All in all, 10,000 yen/ha/yr to 20,000 yen/ha/yr seems to cover the payment from the rotation age of 35 to 75 years.

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