• Title/Summary/Keyword: the optimal route

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Development of Real-Time Forecasting System of Marine Environmental Information for Ship Routing (항해지원을 위한 해양환경정보 실시간 예보시스템 개발)

  • Hong Keyyong;Shin Seung-Ho;Song Museok
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.8 no.1
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    • pp.46-52
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    • 2005
  • A marine environmental information system (MEIS) useful for optimal route planning of ships running in the ocean was developed. Utilizing the simulated marine environmental data produced by the European Center for Medium-Range Weather Forecasts based on global environmental data observed by satellites, the real-time forecast and long-term statistics of marine environments around planned and probable ship routes are provided. The MEIS consists of a land-based data acquisition and analysis system(MEIS-Center) and a onboard information display system(MEIS-Ship) for graphic description of marine information and optimal route planning of ships. Also, it uses of satellite communication system for data transfer. The marine environmental components of winds, waves, air pressures and storms are provided, in which winds are described by speed and direction and waves are expressed in terms of height, direction and period for both of wind waves and swells. The real-time information is characterized by 0.5° resolution, 10 day forecast in 6 hour interval and daily update. The statistic information of monthly average and maximum value expected for a return period is featured by 1.5° resolution and based on 15 year database. The MEIS-Ship include an editing tool for route simulation and the forecasting and statistic information on planned routes can be displayed in graph or table. The MEIS enables for navigators to design an optimal navigational route that minimizes probable risk and operational cost.

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A Study on the Optimum Navigation Route Safety Assessment System using Real Time Weather Forecasting (실시간 기상 정보를 이용한 최적 항로 안전 평가 시스템의 연구)

  • Choi, Kyong-Soon;Park, Myung-Kyu;Lee, Jin-Ho;Park, Gun-Il
    • Proceedings of KOSOMES biannual meeting
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    • 2007.05a
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    • pp.203-210
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    • 2007
  • This paper treats optimal route safety assessment system at seaway based on weather forecasting data through INMARSAT. Since early times, captain have been sailing to select the optimum route considering the weather, ship loading status condition and operational scheduling empirically. However, it is rare to find digitalized onboard route support system whereas weather facsimile or wave and swell chart are utilized for the officer, based on captain's experience. In this paper, optimal route safety assessment system which is composed of voyage efficiency and safety component is introduced. Optimum route minimized ETA(estimated time of arrival) and fuel consumption that shipping company. and captain are requiring to evaluate for efficient voyage considering speed loss and power increase based on wave added resistance of ship. In the view point of safety, seakeeping prediction is performed based on 3 dimensional panel method Basically, the weather forecast is assumed to be prepared previously in order to operate this system.

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Introduction of Optimum Navigation Route Assessment System based on Weather Forecasting and Seakeeping Prediction (기상 예보 및 내항성능을 고려한 최적 항로 평가 시스템의 도입)

  • Park Geon Il;Choi Kyong Soon;Lee Jin Ho;Kim Mun Sung
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2004.11a
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    • pp.61-70
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    • 2004
  • This paper treats optimal route assessment system at seaway based on weather forecasting and wave measurement through observation. Since early times. captain & officer have been sailing to select the optimum route considering the weather ana ship status condition empirically. However. it is rare to find digitalized onboard route support system whereas weather fax or wave and swell chart are utilized for the officer. based on officer's experience. In this paper, optimal route assessment system which is composed of voyage efficiency and safety component is introduced. Optimum route minimized ETA (estimated time of arrival) ana fuel consumption is evaluated for efficient voyage considering speed loss and power increase based on wave added resistance of ship. In the view point of safety, seakeeping prediction is performed based on 3 dimensional panel method. Basically. the weather forecast is assumed to be prepared previously in order to operate this system.

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Introduction of Optimum Navigation Route Assessment System based on Weather Forecasting and Seakeeping Prediction (개상 예보 및 내항성능을 고려한 최적 항로 평가 시스템의 도입)

  • Park Gun-il;Choi Kyong-Soon;Lee Jin-Ho;Kim Mun-Sung
    • Journal of Navigation and Port Research
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    • v.28 no.10 s.96
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    • pp.833-841
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    • 2004
  • This paper treats optimal route assessment system at seaway based on weather forecasting and wave measurement through observation Since early times, captain & officer have been sailing to select the optimum route considering the weather and ship status condition empirically. However, it is rare to find digitalized onboard route support system whereas weather fax or wave and swell chart are utilized for the officer, based on officer's experience. In this paper, optimal route assessment system which is composed of voyage efficiency and safety component is introduced. Optimum route minimized ETA(estimated time of arrival) and fuel consumption is evaluated for efficient voyage considering speed loss and power increase based on wave added resistance of ship. In the view point of safety, seakeeping prediction is performed based on 3 dimensional panel method. Basically, the weather forecast is assumed to be prepared previously in order to operate this system.

A Study on locomotion of a mobile robot by a visual perception (시각정보에 의한 이동 로보트의 주행에 관한 연구)

  • Shin, J.S.;Jeong, D.M.;Cho, J.M.;Chang, W.S.;Hong, S.H.
    • Proceedings of the KIEE Conference
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    • 1987.07b
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    • pp.1260-1263
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    • 1987
  • This paper describes the mobile robot system to recognize the guidance tape, and presents the locomotion algorithm. This system converts video imago to binary image by setting an optimal threshold and obtains the parameters to move the robot. The mobile robot moves according to the programmed route in memory. But after recognized the obstacle on the locomotion routs, this system constructs the new route and the robot moves following the new route.

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A Study on Optimal Traffic Signal Controls in Urban Street Networks (도시 가로망에서의 최적교통신호등 결정모형의 실용화에 관한 연구)

  • 이승환
    • Journal of Korean Society of Transportation
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    • v.5 no.1
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    • pp.3-23
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    • 1987
  • Traffic signal control problems in urban street networks are formulated in two ways. In the formulations network flows are assumed to satisfy the user route choice criterion. the first formulation which is called implicit substiuation incorporates user route behavior implicitly in the objective function by recognizing the dependence of the link flows on the signal variables. On the other hands, the second one which is called 'penalty formulation' consists in expressing the route choice conditions in the form of a single nonlinear constraint. Approximate solution algorithm for each of the formulations was investigated in detail and computer codes were written to examine key aspects of each algorithm. A test was done on a network which is small in size but sufficiently complex in representing real-world traffic conditions and the test result shows that both algorithms produce converged solutions. It is recommended, however, that further studies should be done in order to compare the performance of each algorithm more in depth.

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-Machining Route Selection with the Shop Flow Information Using Genetic Algorithm- (작업장 특성을 고려한 가공경로선정 문제의 유전알고리즘 접근)

  • 이규용;문치웅;김재균
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.23 no.54
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    • pp.13-26
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    • 2000
  • Machining route selection to produce parts should be based on shop flow information because of input data at scheduling tasks and is one of the main problem in process planning. This paper addresses the problem of machining route selection in multi-stage process with machine group included a similar function. The model proposed is formulated as 0-1 integer programing considering the relation of parts and machine table size, avaliable time of each machine for planning period, and delivery date. The objective of the model is to minimize the sum of processing, transportation, and setup time for all parts. Genetic algorithm approach is developed to solve this model. The efficiency of the approach is examined in comparison with the method of branch and bound technique for the same problem. Also, this paper is to solve large problem scale and provide it if the multiple machining routes are existed an optimal solution.

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Development of VE/LCC Evaluation Model for Railway Route Selection (최적 철도 노선 선정을 위한 VE/LCC 평가 모델 개발)

  • 이동욱;이태식
    • Journal of the Korean Society for Railway
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    • v.7 no.3
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    • pp.215-222
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    • 2004
  • Optimal route selection of railway should take consideration of the function of the railway, topography, practicability of construction and management as well as the cost. This study performed the surveys for experts and surrounding industries and the review for the bid guidelines in order to develop the quality model with the AHP method and establish the weight for each factor. Six quality models were developed for such as the efficiency of railway operation, structure design and practicability, economic feasibility, correspondence with other plans, civil appeal and environmental sustainability, and correspondence with system. The detailed evaluation elements were also derived by each factors.

Improved Route Search Method Through the Operation Process of the Genetic Algorithm (유전 알고리즘의 연산처리를 통한 개선된 경로 탐색 기법)

  • Ji, Hong-il;Seo, Chang-jin
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.64 no.4
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    • pp.315-320
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    • 2015
  • Proposal algorithm in this paper introduced cells, units of router group, for distributed processing of previous genetic algorithm. This paper presented ways to reduce search delay time of overall network through cell-based genetic algorithm. As a result of performance analysis comparing with existing genetic algorithm through experiments, the proposal algorithm was verified superior in terms of costs and delay time. Furthermore, time for routing an alternative path was reduced in proposal algorithm, in case that a network was damaged in existing optimal path algorithm, Dijkstra algorithm, and the proposal algorithm was designed to route an alternative path faster than Dijkstra algorithm, as it has a 2nd shortest path in cells of the damaged network. The study showed that the proposal algorithm can support routing of alternative path, if Dijkstra algorithm is damaged in a network.

Job Route Selection Expert System for Workload Balancing in Flexible Flow Line (유연생산라인의 부하평준화를 위한 작업흐름선택 전문가시스템)

  • 함호상;한성배
    • Journal of Intelligence and Information Systems
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    • v.2 no.1
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    • pp.93-107
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    • 1996
  • A flexible flow line(FFL) consists of several groups of identical machines. All work-orders flow along the same path through successive machine groups. Thus, we emphasized the balancing of workloads between machine groups in order to maximize total productivity. On the other hand, many different types of work-orders, in varying batch or lot sizes, are produced simultaneously. The mix of work-orders, their lot sizes, and the sequence in which they are produced affect the amount of workload. However, the work-orders and their lot sizes are prefixed and cannot be changed. Because of these reasons, we have developed an optimal route selection model using heuristic search and Min-Max algorithm for balancing the workload between machine groups in the FFL.

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