• 제목/요약/키워드: Fixed Matching

검색결과 191건 처리시간 0.028초

인터넷 기반의 물류중개 에이전트를 위한 가변형 정기/정량 매칭 알고리즘 (Variable Periodic/Fixed Matching Algorithms for Internet-Based Logistics Brokerage Agents)

  • 정근채
    • 산업공학
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    • 제23권2호
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    • pp.164-175
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    • 2010
  • In logistics e-marketplaces, brokerage agents intermediate empty vehicles and freights registered by car owners and shippers. In the previous research, we proposed constant periodic/fixed matching algorithms for the logistics brokerage agents with the objective of minimizing the total transportation lead time and the transportation due date tardiness of freights(Jeong, 2004; Jeong, 2007). However, the constant type algorithms cannot consider changes in the balance status of an e-marketplace, i.e. the difference between the numbers of freights and vehicles to wait for matching, because they use non-changing matching periods and amounts. In this paper, we propose variable type algorithms for the logistics brokerage agent, in which the matching periods and amounts are changed continuously by considering the balance status between the freights and vehicles. In order to compare performance of the variable type algorithms to the previous constant type algorithms, we carried out computational experiments on various problem instances. The results show that the variable type algorithms give better performance than the constant type algorithms. We can expect that the logistics brokerage agents can improve their performance by using the proposed variable periodic/fixed matching algorithms.

Dynamic Matching Algorithms for On-Time Delivery in e-Logistics Brokerage Marketplaces

  • Jeong, Keun-Chae
    • Management Science and Financial Engineering
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    • 제13권1호
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    • pp.93-113
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    • 2007
  • In the previous research, we considered a logistics brokerage problem with the objective of minimizing total transportation lead time of freights in a logistics e-marketplace, in which a logistics brokerage agent intermediates empty vehicles and freights registered by car owners and shippers [7]. However, in the logistics e-marketplace, transportation due date tardiness is more important than the transportation lead time, since transportation service level is critically determined by whether the due date is met or not. Therefore, in this paper, we deal with the logistics brokerage problem with the objective of minimizing total tardiness of freights. Hungarian method based matching algorithms, real time matching(RTM), periodic matching(PM), and fixed matching(FM), are used for solving the problem considered in this paper. In order to test performance of the proposed algorithms, we perform computational experiments on a various problem instances. The results show that the waiting-and-matching algorithms, PM and FM, also give better performance than real time matching strategy, RTM, for the total tardiness minimization problem as the algorithms did for the total lead time minimization problem.

FIXED POINTS AND ALTERNATIVE PRINCIPLES

  • Park, Se-Hie;Kim, Hoon-Joo
    • 호남수학학술지
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    • 제34권3호
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    • pp.439-449
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    • 2012
  • In a recent paper, M. Balaj [B] established an alternative principle. The principle was applied to a matching theorem of Ky Fan type, an analytic alternative, a minimax inequality, and existence of solutions of a vector equilibrium theorem. Based on the first author's fixed point theorems, in the present paper, we obtain generalizations of the main result of Balaj [B] and their applications.

Fisherface 알고리즘과 Fixed Graph Matching을 이용한 얼굴 인식 (Face Recognition Using Fisherface Algorithm and Fixed Graph Matching)

  • 이형지;정재호
    • 대한전자공학회논문지SP
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    • 제38권6호
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    • pp.608-616
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    • 2001
  • 본 논문은 K-L 변환을 기반으로 한 Fisherface 알고리즘과 fixed graph matching (FGM) 방법을 이용하여 보다 효율적인 얼굴 인식 방법을 제안하고자 한다. 동적 링크 구조 방법 중에 하나인 elastic graph matching (EGM)은 얼굴의 모양 정보뿐만 아니라, 영상 픽셀의 그레이 정보를 동시에 이용하는 하며, 클래스를 구분하는 방법인 Fisherface 알고리즘은 빛의 방향 및 얼굴 표정과 같은 영상의 변화에 대해 강인하다고 알려져 있다. 위의 두 방법으로부터 제안한 알고리즘에서는 영상 그래프의 각 노드에 대해 Fisherface방법을 적용함으로써 레이블된 그래프 벡터의 차원을 줄일 뿐만 아니라 효율적으로 클래스를 구분하기 위한 특징 벡터를 제공한다. 그럼으로써 기존의 EGM 방법에 비해 인식 속도 면에서 상당한 향상 결과를 얻을 수 있었다. 특히, Olivetti Research Laboratory (ORL) 데이터베이스와 Yale 대학 데이터베이스에 대해 실험한 결과 제안한 얼굴 인식 알고리즘은 hold-out 방법에 의한 실험 결과, 평균 90.1%로 기존의 한 방법만을 사용한 것보다 높은 인식률을 보였다.

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블록 매칭 기반에서 디스페리티의 블록킹 현상을 줄이는 알고리즘 (A blocking effect reduction method for disparity computation under the block matching algorithm)

  • 송원석;유용현;문정환;김민기
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅳ
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    • pp.1996-1999
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    • 2003
  • Stereo matching is an important technique in the are of computer vision. There are already many theorems to find disparity map using stereo images. Usually, disparity is searched by using block matching. However block matching result in blocking effects caused by using fixed size window for computing pixel correlations. This paper suggests an efficient method to remove the blocking effect in stereo matching procedures.

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Dynamic Matching Algorithms for Internet-based Logistics Brokerage Agents

  • Jeong, Keun-Chae
    • Management Science and Financial Engineering
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    • 제10권1호
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    • pp.77-96
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    • 2004
  • In this paper, we present a dynamic matching methodology for the logistics brokerage agent that intermediates empty vehicles and freights registered to the logistics e-marketplace by car owners and shippers. In this matching methodology, two types of decisions should be made: one is when to match freights and vehicles and the other is how to match freights and vehicles at that time. We propose three strategies for deciding when to match, ie. real time matching (RTM) , periodic matching (PM), and fixed matching (FM) and use Hungarian method for solving the how-to-match problem. In order to compare the performance of the when-to-match strategies, computational experiments are done and the results show that the waiting-and-matching strategies, PM and FM, give better performance than real time matching strategy, RTM. We can expect that the suggested matching methodology may be used as an efficient and effective tool for the brokerage agent in the logistics e-marketplaces.

Dynamic Matching Algorithms for Internet-based Logistics Brokerage Agents

  • 정근채
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 2004년도 춘계공동학술대회 논문집
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    • pp.139-142
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    • 2004
  • In this paper, we present a dynamic matching methodology for the logistics brokerage agent that intermediates empty vehicles and freights registered to the logistics e-marketplace by car owners and shippers. In this matching methodology, two types of decisions should be made: one is when to match freights and vehicles and the other is how to match freights and vehicles at that time. We propose three strategies for deciding when to match, i.e. real time matching (RTM), periodic matching (PM), and fixed matching (FM) and use Hungarian method for solving tho how-to-match problem. In order to compare the performance of the when-to-match strategies, computational experiments are done and the results show that the waiting-and matching strategies, PM and FM, give better performance than real time matching strategy, RTM. We can expect that the suggested matching methodology may be used as an efficient and affective tool for the brokerage agent in the logistics e-marketplaces

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임피던스 정합장치 내 위상센서를 이용한 RF정합 알고리즘 연구 (RF Impedance Matching Algorithm Using Phase Detector)

  • 김황규;양진우;강석호;최대호;홍상진
    • 반도체디스플레이기술학회지
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    • 제21권2호
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    • pp.32-37
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    • 2022
  • As semiconductors become finer, equipment must perform precise and accurate processes to achieve the desired wafer fabrication requirement. Radio frequency power delivery system in plasma system plays a critical role to generate the plasma, and the role of impedance matching unit is critical to terminate the reflected radio frequency power by modifying the impedance of the matching network in the plasma equipment. Impedance matching unit contains one fixed inductor and two variable vacuum capacitors whose positions are controlled two step motors. Controlling the amount of vacuum variable capacitor should be made as soon as possible when the mismatched impedance is detected. In this paper, we present the impedance matching algorithm using the phase sensor.

Stereo Matching Using an Adaptive Window Warping

  • Kim, Jae-Chul;Lee, Ho-Keun;Kwon, Sun-Kyu;Ha, Yeong-Ho
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 ITC-CSCC -1
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    • pp.421-424
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    • 2000
  • In this paper, we propose a window warping method to solve stereo matching problems in projective distortion region. Because the projective distortion region cant t be estimated with fixed-size block matching algorithm, we use the window warping technique in block matching process. The position of a reference window to resample is obtained adaptively according to the degree of reliability in disparity estimated previously. The initial disparity and reliability are obtained by applying a well known hierarchical strategy. The experimental result shows that considerable improvement is obtained in the projective distortion region.

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GPU을 이용한 다중 고정 길이 패턴을 갖는 DNA 시퀀스에 대한 k-Mismatches에 의한 근사적 병열 스트링 매칭 (Parallel Approximate String Matching with k-Mismatches for Multiple Fixed-Length Patterns in DNA Sequences on Graphics Processing Units)

  • 호 티엔 루안;김현진;오승록
    • 전기학회논문지
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    • 제66권6호
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    • pp.955-961
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    • 2017
  • In this paper, we propose a parallel approximate string matching algorithm with k-mismatches for multiple fixed-length patterns (PMASM) in DNA sequences. PMASM is developed from parallel single pattern approximate string matching algorithms to effectively calculate the Hamming distances for multiple patterns with a fixed-length. In the preprocessing phase of PMASM, all target patterns are binary encoded and stored into a look-up memory. With each input character from the input string, the Hamming distances between a substring and all patterns can be updated at the same time based on the binary encoding information in the look-up memory. Moreover, PMASM adopts graphics processing units (GPUs) to process the data computations in parallel. This paper presents three kinds of PMASM implementation methods in GPUs: thread PMASM, block-thread PMASM, and shared-mem PMASM methods. The shared-mem PMASM method gives an example to effectively make use of the GPU parallel capacity. Moreover, it also exploits special features of the CUDA (Compute Unified Device Architecture) memory structure to optimize the performance. In the experiments with DNA sequences, the proposed PMASM on GPU is 385, 77, and 64 times faster than the traditional naive algorithm, the shift-add algorithm and the single thread PMASM implementation on CPU. With the same NVIDIA GPU model, the performance of the proposed approach is enhanced up to 44% and 21%, compared with the naive, and the shift-add algorithms.