• Title/Summary/Keyword: DP(Dynamic Programming)

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개선된 다이나믹 프로그래밍과 품질 정보 및 퍼지 추론 기법을 이용한 DNA 염기 서열 배치 알고리즘

  • Lee, Seung-Hwan;Park, Choong-Shik;Kim, Kwang-Baek
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2007.05a
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    • pp.341-350
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    • 2007
  • DNA 염기 서열 배치 알고리즘은 분자 생물학 분야에서 단백질과 핵산 서열들의 분석에서 중요한 방법이다. 생물학적인 염기 서열들은 그들 사이의 유사성과 차이점을 나타내기 위해 정렬된다. 본 논문에서는 기존의 DNA 염기 서열 배치 방법을 개선하기 위하여 DP(Dynamic Programming) 알고리즘의 비용증가( O (nm) ) 문제를 해결하는 Quadrant 방법과 품질 정보 및 퍼지 추론시스템(fuzzy inference system)을 적용한 DNA 염기 서열 배치 알고리즘을 제안한다. 본 논문에서 제안한 DNA 염기 서열 배치 알고리즘은 Quadrant 방법을 적용하여 Needleman-Wunsch의 DP 기반 알고리즘에서의 행렬 생성 단계에서 발생하는 불필요한 정렬 계산을 제거하여 전체 수행 시간을 단축하고, 각 DNA 염기 서열 단편 각각의 길이 차이와 낮은 품질의 DNA 염기 빈도를 퍼지 추론 시스템에 적용하여 지능적으로 갭 비용(gap cost)을 동적으로 조정한다. 제안된 알고리즘의 성능 평가를 위해 NCBI (National Center for Biotechnology Information)의 실제 유전체 데이터로 성능을 분석한 결과, 제안된 알고리즘이 기존의 품질정보만을 이용한 알고리즘보다 개선된 것을 확인하였다.

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The Implementation of Content-based Image Retrieval System Using Contours and Lines (윤곽과 선분을 이용한 내용기반 화상정보 검색시스템의 구현)

  • Jeong, Won-Il;Gu, Jeong-Hyeon;Choe, Gi-Ho
    • The Transactions of the Korea Information Processing Society
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    • v.3 no.3
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    • pp.683-695
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    • 1996
  • In this paper, we implemented the content-based image retrieval system that indexes and retrieves the images by acquiring contour information of images and by extracting lines from the object. For this purpose, we proposed the advanced line extraction algorithm called FSLHT(Flexible SLHT) which covers drawback of SLHT(Straight Line Hough Transform)andapplied aDP(Dynamic Programming)algorithm to getadesirable similarity ofimages by lines. We estimated the contour features as a key value of sampled region to compensate for the problem that image contours are heavily depend on the noise. When performing the Hough transform we calculated the directionality based on the perceptual organization and transformed according to this direction to overcome the problem of time consuming and discontinuity.

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Multi-Dimensional Dynamic Programming Algorithm for Input Lot Formation in a Semiconductor Wafer Fabrication Facility (반도체 팹에서의 투입 로트 구성을 위한 다차원 동적계획 알고리듬)

  • Bang, June-Young;Lim, Seung-Kil;Kim, Jae-Gon
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.39 no.1
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    • pp.73-80
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    • 2016
  • This study focuses on the formation of input release lots in a semiconductor wafer fabrication facility. After the order-lot pegging process assigns lots in the fab to orders and calculates the required quantity of wafers for each product type to meet customers' orders, the decisions on the formation of input release lots should be made to minimize the production costs of the release lots. Since the number of lots being processed in the wafer fab directly is related to the productivity of the wafer fab, the input lot formation is crucial process to reduce the production costs as well as to improve the efficiency of the wafer fab. Here, the input lot formation occurs before every shift begins in the semiconductor wafer fab. When input quantities (of wafers) for product types are given from results of the order-lot pegging process, lots to be released into the wafer fab should be formed satisfying the lot size requirements. Here, the production cost of a homogeneous lot of the same type of product is less than that of a heterogeneous lot that will be split into the number of lots according to their product types after passing the branch point during the wafer fabrication process. Also, more production cost occurs if a lot becomes more heterogeneous. We developed a multi-dimensional dynamic programming algorithm for the input lot formation problem and showed how to apply the algorithm to solve the problem optimally with an example problem instance. It is necessary to reduce the number of states at each stage in the DP algorithm for practical use. Also, we can apply the proposed DP algorithm together with lot release rules such as CONWIP and UNIFORM.

Comparison of Optimization Techniques in Cost Design of Stormwater Drainage Systems (우수관망 시스템 설계에 있어서의 최적화기법의 비교)

  • Kim, Myoung-Su;Lee, Chang-Yong;Kim, Tae-Jin;Lee, Jung-Ho;Kim, Joong-Hoon
    • Journal of the Korean Society of Hazard Mitigation
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    • v.6 no.2 s.21
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    • pp.51-60
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    • 2006
  • The objective of this research is to develop a least cost system design method for branched storm sewer systems while satisfying all the design constraints using heuristic techniques such as genetic algorithm and harmony search. Two sewer system models have been developed in this study. The SEWERGA and SEWERHS both determine the optimal discrete pipe installation depths as decision variables. Two models also determine the optimal diameter of sewer pipes using the discrete installation depths of the pipes while satisfying the discharge and velocity requirement constraints at each pipe. Two models are applied to the example that was originally solved by Mays and Yen (1975) using their dynamic programming(DP). The optimal costs obtained from SEWERGA and SEWERHS are about 4% lower than that of the DP approach.

Determination of optimal unit commitment and load dispatch for thermal power system by DP method (DP법에 의한 화력계통의 최적병렬치수 결정 및 부하배분)

  • 양흥석;이문호
    • 전기의세계
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    • v.21 no.2
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    • pp.34-40
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    • 1972
  • This paper describes the problem of the shortange-economic-scheduling for unit commitment and load dispatching in thermal power system. For economic operation of thermal system, the optimum time of startup and shoutdown of the generating unit must be determined so as to minimize the sum of generating and starting fuel cost over a given period. The above problems are analyzed for the purpose of the application of Dynamic Programing Method. Also the technique of Dynamic Programming is applied to the problems. For the illustative purpose, a case study was made on a model system composed of eight units and the computing time was about 190 seconds by IBM 360-40 system. Therefore, one can utilize this suggested method on any of the practical power systems.

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New Fictitious Play Procedure For Solving Blotto Games (Blotto 게임을 풀기위한 새로운 근사해법 절차)

  • Lee, Jea-Yeong;Lee, Moon-Gul
    • Journal of the military operations research society of Korea
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    • v.31 no.1
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    • pp.107-121
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    • 2005
  • In this study, a new fictitious play (FP) procedure is presented to solve two-person zero-sum (TPZS) Blotto games. The FP solution procedure solves TPZS games by assuming that the two players take turns selecting optimal responses to the opponent's strategy observed so far. It is known that FP converges to an optimal solution, and it may be the only realistic approach to solve large games. The algorithm uses dynamic programming (DP) to solve FP subproblems. Efficiency is obtained by limiting the growth of the DP state space. Blotto games are frequently used to solve simple missile defense problems. While it may be unlikely that the models presented in this paper can be used directly to solve realistic offense and defense problems, it is hoped that they will provide insight into the basic structure of optimal and near-optimal solutions to these important, large games, and provide a foundation for solution of more realistic, and more complex, problem

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

  • Joo, Un Gi;Lee, Choong-ho
    • Journal of Korean Institute of Industrial Engineers
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    • v.31 no.3
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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.

Recognition of Cursive Korean Characters Using DP Matching and Fuzzy Theory (DP 매칭과 퍼지 이론을 이용한 흘림체 온라인 한글인식)

  • 심동규;함영국;박래홍
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.30B no.4
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    • pp.116-129
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    • 1993
  • This paper proposes an on-line Recognition scheme of cursive Korean characters based on the DP matching and fuzzy concept. The proposed algorithm, invariant to rotation and size, reduces greatly the computational requirement of dynamic programming by matching phonemes rather than character patterns, where the angle difference and the ration of lengths between input and reference patterns are adopted as matching features. The correct matching of poorly written cursive characters becomes possible by introducing the fuzzy concept in representing the features of phonemes and the ralative position between adjacent phonemes. Computer simulation results are observed to show the effectiveness of the proposed algorithm.

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On-Line Recognition of Cursive Hangeul by Extended DP Matching Method (擴張된 DP 매칭법에 依한 흘림체 한글 온라인 認識)

  • Lee, Hee-Dong;Kim, Tae-Kyun;Agui, Takeshi;Nakajima, Masayuki
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.26 no.1
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    • pp.29-37
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    • 1989
  • This paper presents an application of the extended DP matching method to the on-line recognition of cursive Hangeul (Korean characters). We decrease the number of matching's objects by performing rough classification matching which makes the best use of features in the first and the last segment of Hangeul. By adding the extraction function of the basic character patterns to DP matching method, we try to calculate precisely the difference among Hangeul. The extraction of the basic character patterns is done by examining the features of segments in character. Applying the extended DP matching method to the on-line recognition of cursive Hangeul, absorption of writing motion and stable separation of strokes can be performed with flexibility.

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EXPLORING THE FUEL ECONOMY POTENTIAL OF ISG HYBRID ELECTRIC VEHICLES THROUGH DYNAMIC PROGRAMMING

  • Ao, G.Q.;Qiang, J.X.;Zhong, H.;Yang, L.;Zhuo, B.
    • International Journal of Automotive Technology
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    • v.8 no.6
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    • pp.781-790
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    • 2007
  • Hybrid electric vehicles(HEV) combined with more than one power sources have great potential to improve fuel economy and reduce pollutant emissions. The Integrated Starter Generator(ISG) HEV researched in this paper is a two energy sources vehicle, with a conventional internal combustion engine(ICE) and an energy storage system(batteries). In order to investigate the potential of diesel engine hybrid electric vehicles in fuel economy improvement and emissions reduction, a Dynamic Programming(DP) based supervisory controller is developed to allocate the power requirement between ICE and batteries with the objective of minimizing a weighted cost function over given drive cycles. A fuel-economy-only case and a fuel & emissions case can be achieved by changing specific weighting factors. The simulation results of the fuel-economy-only case show that there is a 45.1% fuel saving potential for this ISG HEV compared to a conventional transit bus. The test results present a 39.6% improvement in fuel economy which validates the simulation results. Compared to the fuel-economy-only case, the fuel & emissions case further reduces the pollutant emissions at a cost of 3.2% and 4.5% of fuel consumption with respect to the simulation and test result respectively.