• 제목/요약/키워드: dynamic planning

검색결과 662건 처리시간 0.031초

GIS와 농업정보망을 이용한 동적 의사결정 지원시스템 (Dynamic Decision Support System Using GIS and Network)

  • 정하우;김대식
    • 농촌계획
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    • 제3권1호
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    • pp.96-104
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    • 1997
  • The purpose of this study is to develop a dynamic DSS (Decision Support System) interfaced with GIS (Geographic Information System) and agriculture information network, In this study, DSS was developed to assist services which required tremendous and real time data in national scale. The data transmitte'd from the local area by the agriculture network were stored in DBMS (Data Base Management System) and analyzed by GIS. GIS and database tools used in this study were ARC/INFO 7.1.1 and INFORMIX 4.0. ACSAS (Agriculture Calamity Service Asist System) by the system prototype was constructed to solve the problem about the drought counterplan service which was to take the responsibility in the Ministry of Agriculture. It was easy to transfer, process, and analyze the information using the system. Specially, the meteological, the reservoir storage rate and the drought counterplan information were spatially analyzed by the functions of GIS.

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Optimal Reporting Stategy of an Insured -Dynamic Programming Approach-

  • Min, Jae-Hyung
    • 한국경영과학회지
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    • 제15권1호
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    • pp.83-97
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    • 1990
  • We consider an insured who wishes to determine his optimal reporting strategy over a given planning horizon, when he has option of reporting of not reporting his at-fault accidents. Assuming that the premium in future period is continually adjusted by the insured's loss experience, the insured would not report every loss incurred. Rather, considering the benefits and costs of each decision, the insured may want to seek a way of optimizing his interests over the planning horizon. The situation is modeled as a dynamic programming problem. We consider an insured's discounted expected cost minimization problem, where the premium increase in future period is affected by the size of the current claim. More specifically, we examine two cases ; (1) the premium increase in the next is a linear function (a constant fraction) of the current claim size; (2) the premium increase in the next period is a concave function of the current claim size. In each case, we derive the insured's optimal reporting strategy.

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단일 재생처리 설비를 이용한 다중 제품 재생계획 (Multi-product Remanufacturing Planning on a Single Facility)

  • 주운기;이충호
    • 대한산업공학회지
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    • 제31권3호
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    • pp.240-247
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    • 2005
  • Today's hightech society requires thousands of different products which ultimately result in billions of tons of materials discarded, most of which end up in landfills. Therefore industrial circles could not help thinking about environmental problems by regulations of government or pressures of consumer. Generally, the related research subjects are classified into both of environmentally conscious manufacturing and product recovery, where product recovery aims to minimize the amount of waste sent to landfills by recovering materials and parts from old or outdated products by means of recycling and remanufacturing (including reuse of parts and products). In this research, we constructed a model for remanufacturing various goods using a single facility and developed a dynamic programing(DP) algorithm based upon the optimal solution characterization. We showed the efficiency of the developed DP algorithm with a numerical example.

타격되는 강체 부품의 평면 거동 (Planar Motion of a Rigid Part Being Striked)

  • 박상욱;한인환
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1996년도 추계학술대회 논문집
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    • pp.787-792
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    • 1996
  • The method of manipulation by striking a part and letting it slide until it comes to rest, has been very little studied. However, the manipulation method is not uncommon in our daily lives. We analyze the dynamic behavior of a rigid polygonal part being striked and sliding on a horizontal surface under the action of fiction. There are two parts in this problem; one is the impact problem, and the other is the sliding problem. We characterize the impact and sliding dynamics with friction for polygonal parts, and present the possibility of reverse calculation for motion planning of striking operations. Using a high speed video camera, the computer simulation results are experimentally verified.

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네트워크를 통해 동작하는 애완 로봇 시뮬레이터 (Pet Robot Simulator Coordinated over Network)

  • 이성훈;이수영;최병욱
    • 제어로봇시스템학회논문지
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    • 제15권5호
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    • pp.530-537
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    • 2009
  • A graphic simulator can be a useful tool for planning gaits or dynamic behaviors to a walking pet robot. Microsoft describes robotics developer studio (MSRDS) as an end-to-end robotics development platform including simulation engine based on dynamics. In this paper, we propose a pet robot simulator (PRS), based on MSRDS, which supports interactively controlled two walking robots connected over network. To be pet robot simulator, modeling a commercial pet robot is performed and gait planning is also implemented. By using concurrency and coordination runtime (CCR) and decentralized software services (DSS) of MSRDS software platform, we connect two robots which are displayed together but controlled separately over network. The two walking pet robots can be simulated interactively by joysticks. It seems to be an internet game for pet robots.

Path Planning for Autonomous Mobile Robot using Potential Field

  • Jung, Kwang-Min;Sim, Kwee-Bo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제9권4호
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    • pp.315-320
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    • 2009
  • The popularity of autonomous mobile robots have been rapidly increasing due to their new emerging application areas, from room cleaning, tourist guidance to space explorations. However, the development of a satisfactory control algorithm that will enable the autonomous mobile robots to navigate safely especially in dynamic environments is still an open research problem. In this paper, a newly proposed potential field based control method is implemented, analyzed, and improvements are suggested based on experimental results obtained from simulations. The experimental results are presented to show the effectiveness of the behavior-based control using the proposed potential field generation technique.

다수의 도전장비 존재시 설비의 경제적 수명과 최적 대체결정을 위한 동적 계획모형 (Dynamic Programming Model for Optimal Replacement Policy with Multiple Challengers)

  • 김태현;김승권
    • 대한산업공학회지
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    • 제25권4호
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    • pp.466-475
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    • 1999
  • A backward Dynamic Programming(DP) model for the optimal facility replacement decision problem during a finite planning horizon is presented. Multiple alternative challengers to a current defender are considered. All facilities are assumed to have finite service lives. The objective of the DP model is to maximize the profit over a finite planning horizon. As for the cost elements, purchasing cost, maintenance costs and repair costs as well as salvage value are considered. The time to failure is assumed to follow a weibull distribution and the maximum likelihood estimation of Weibull parameters is used to evaluate the expected cost of repair. To evaluate the revenue, the rate of operation during a specified period is employed. The cash flow component of each challenger can vary independently according to the time of occurrence and the item can be extended easily. The effects of inflation and the time value of money are considered. The algorithm is illustrated with a numerical example. A MATLAB implementation of the model is used to identify the optimal sequence and timing of the replacement.

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DYNAMIC ROUTE PLANNING BY Q-LEARNING -Cellular Automation Based Simulator and Control

  • 사노 마사키;정시
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.24.2-24
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    • 2001
  • In this paper, the authors present a row dynamic route planning by Q-learning. The proposed algorithm is executed in a cellular automation based traffic simulator, which is also newly created. In Vehicle Information and Communication System(VICS), which is an active field of Intelligent Transport System(ITS), information of traffic congestion is sent to each vehicle at real time. However, a centralized navigation system is not realistic to guide millions of vehicles in a megalopolis. Autonomous distributed systems should be more flexible and scalable, and also have a chance to focus on each vehicles demand. In such systems, each vehicle can search an own optimal route. We employ Q-learning of the reinforcement learning method to search an optimal or sub-optimal route, in which route drivers can avoid traffic congestions. We find some applications of the reinforcement learning in the "static" environment, but there are ...

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Dynamic Sustainability Assessment of Road Projects

  • Kaira, Sneha;Mohamed, Sherif;Rahman, Anisur
    • 국제학술발표논문집
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    • The 8th International Conference on Construction Engineering and Project Management
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    • pp.493-502
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    • 2020
  • Traditionally, road projects are initiated based on an assessment of their economic benefit, after which the environmental, social and governance effects are addressed discretely for the project according to a set of predetermined alternatives. Sustainable road infrastructure planning is vital as issues like diminishing access to road construction supplies, water scarcity, Greenhouse Gas emissions, road-related fatalities and congestion pricing etc., have imposed severe economic, social, and environmental damages to the society. In the process of addressing these sustainability factors in the operational phase of the project, the dynamics of these factors are generally ignored. This paper argues that effective delivery of sustainable roads should consider such dynamics and highlights how different aspects of sustainability have the potential to affect project sustainability. The paper initially presents the different sustainability-assessment tools that have been developed to determine the sustainability performance of road projects and discuss the inability of these tools to model the interrelationships among sustainability-related factors. The paper then argues the need for a new assessment framework that facilitates modelling these dynamics at the macro-level (system level) and helping policymakers for sustainable infrastructure planning through evaluating regulatory policies.

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Classifying Alley Markets through Cluster Analysis Using Dynamic Time Warping and Analyzing Possibility of Opening New Stores

  • Kang, Hyun Mo;Lee, Sang-Kyeong
    • 한국측량학회지
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    • 제35권5호
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    • pp.329-338
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    • 2017
  • This study attempts to classify 1008 alley markets in Seoul through cluster analysis using Dynamic Time Warping, one of the methods used to analyze the similarity of time series, and evaluate the possibility of opening new stores. The sequence of the gross sales of an alley market and that of gross sales per store stand for the potential of growth and profitability of the market, respectively and are used as variables for cluster analysis. Five clusters are obtained for the gross sales and four clusters for the gross sales per store. These two types of clusters are again classified as rising and falling trends, respectively, and the combination of these trends produces four categories. These categories are used to evaluate the possibility of opening new stores in alley markets. The results show that the southeast which is relatively wealthy inferior to other regions in opening new stores. Alley markets in the northeast and the southwest are better than other regions such that opening a new store is justified. In the northwest, there are many markets with trend of gross sales and that of gross sales per store moving in opposite directions, and new store openings in these markets should be postponed.