• Title/Summary/Keyword: A$^{*}$알고리즘

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A Study on the Lot-Sizing with Deterministic Dynamic Demand (결정적 동적 수요를 갖는 경우의 로트크기 결정에 관한 연구)

  • Lee, Jung Hwan;Lee, Dal Sang
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.8 no.12
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    • pp.89-95
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    • 1985
  • MRP System에서 시스템 성능을 향상시킬 수 있는 하나의 인자는 우수한 Lot-Sizing rule의 선택과 발견이다. 널리 사용되고 있는 Lot-Sizing rule 들 중 Wagner-Whitin 알고리즘은 생산준비 비용과 재고 유지비용이 가변적일 경우 동적 로트크기 결정에 우수한 forward 알고리즘이다. 본 연구에서는 Wagner-Whitin 알고리즘의 중요 원리들을 응용하여 LDS 알고리즘이라 명명한 backward 알고리즘을 개발한다. 그리고 개발된 알고리즘을 Wagner-Whitin 알고리즘과 비교함으로 그 유효성을 테스트하고 backward 알고리즘이 가지는 계산상의 장점을 고찰한다.

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Design of the Compression Algorithm for in-Memory Data of the Virtual Memory (가상 메모리 압축을 위한 CAMD 알고리즘 설계)

  • Jang, Seung-Ju
    • The KIPS Transactions:PartA
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    • v.11A no.3
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    • pp.157-162
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    • 2004
  • This paper suggests the CAMD(Compression Algorithm for in-Memory Data) algorithm that is not moved the pages into the swap space by assigning the compressed cache area in the main memory. The CAMD algorithm that supports the virtual memory system takes high memory usability and performance benefit by reducing the page fault. The memory data is not general data. It is extraordinary data format. In general it consists of specific form of data. Therefore. the CAMD algorithm can compress this data efficiently.

Performance Analysis of Viola & Jones Face Detection Algorithm (Viola & Jones 얼굴 검출 알고리즘의 성능 분석)

  • Oh, Jeong-su;Heo, Hoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.05a
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    • pp.477-480
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    • 2018
  • Viola and Jones object detection algorithm is a representative face detection algorithm. The algorithm uses Haar-like features for face expression and uses a cascade-Adaboost algorithm consisting of strong classifiers, a linear combination of weak classifiers for classification. This algorithm requires several parameter settings for its implementation and the set values affect its performance. This paper analyzes face detection performance according to the parameters set in the algorithm.

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Parallel Factorization using Quadratic Sieve Algorithm on SIMD machines (SIMD상에서의 이차선별법을 사용한 병렬 소인수분해 알고리즘)

  • Kim, Yang-Hee
    • The KIPS Transactions:PartA
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    • v.8A no.1
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    • pp.36-41
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    • 2001
  • In this paper, we first design an parallel quadratic sieve algorithm for factoring method. We then present parallel factoring algorithm for factoring a large odd integer by repeatedly using the parallel quadratic sieve algorithm based on the divide-and-conquer strategy on SIMD machines with DMM. We show that this algorithm is optimal in view of the product of time and processor numbers.

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A Study on the Improvement of the convergence Properties of the Adaptive Lattice Filters (적응 Lattice 필터의 수검특성 개선에 관한 연구)

  • 백흥기;이종옥
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.22 no.6
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    • pp.76-82
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    • 1985
  • The convergence properties of Burg algorithm, which is commonly used to calculate the reflection coefficients in the adaptive lattice filters, are studied in this paper. Applying the $\mu$ algorithm to Burg algorithm, a new adaptive lattice $\mu$ algorithm is derived and it shows that the convergence speed of this algorithm is higher than that of Burg algorithm. As a result of theoretical analysis and computer simulation, it is proved that the con-vergence speed of the proposed algorithm is remarkably higher than that of Burg algorithm when the convergence speed of Burg alsorithm is low.

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An Iterative Local Search Algorithm for Rural Postman Problems (Rural Postman Problem 해법을 위한 Iterative Local Search 알고리즘)

  • 강명주
    • Journal of the Korea Society of Computer and Information
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    • v.7 no.1
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    • pp.48-53
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    • 2002
  • This paper Proposes an iterative Local Search (ILS) algorithm for Rural Postman Problems (RPPs). LS searches neighbors from an initial solution in solution space and obtains a nearoptimal solution which can be a local-minima. As an extension of LS, the ILS algorithm is a method that uses various initial solutions for LS. Hence. ILS can overcome the defect of LS. This paper proposes LS and ILS methods for 18 RPPs and analyzes the results of LS and ILS. In the simulation results, the ILS method obtained the better results than the LS method.

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The Pathplanning of Navigation Algorithm using Dynamic Window Approach and Dijkstra (동적창과 Dijkstra 알고리즘을 이용한 항법 알고리즘에서 경로 설정)

  • Kim, Jae Joon;Jee, Gui-In
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.94-96
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    • 2021
  • In this paper, we develop a new navigation algorithm for industrial mobile robots to arrive at the destination in unknown environment. To achieve this, we suggest a navigation algorithm that combines Dynamic Window Approach (DWA) and Dijkstra path planning algorithm. We compare Local Dynamic Window Approach (LDWA), Global Dynamic Window Approach(GDWA), Rapidly-exploring Random Tree (RRT) Algorithm. The navigation algorithm using Dijkstra algorithm combined with LDWA and GDWA makes mobile robots to reach the destination. and obstacles faced during the path planning process of LDWA and GDWA. Then, we compare on time taken to arrive at the destination, obstacle avoidance and computation complexity of each algorithm. To overcome the limitation, we seek ways to use the optimized navigation algorithm for industrial use.

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The Efficient Edge Detection using Genetic Algorithms and Back-Propagation Network (유전자와 역전파 알고리즘을 이용한 효율적인 윤곽선 추출)

  • Park, Chan-Lan;Lee, Woong-Ki
    • The Transactions of the Korea Information Processing Society
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    • v.5 no.11
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    • pp.3010-3023
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    • 1998
  • GA has a fast convergence speed in searching the one point around optimal value. But it's convergence time increase in searching the region around optimal value because it has no regional searching mechanism. BP has the tendency to converge the local minimum because it has global searching mechanism. To overcome these problems, a method in which a genetic algorithm and a back propagation are applied in turn is proposed in this paper. By using a genetic algorithm, we compute optimal synaptic strength and offset value. And then, these values are fed to the input of the back propagation. This proposed method is superior to each above method in improving the convergence speed.

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An Optimal Routing Algorithm for Large Data Networks (대규모 데이타 네트워크를 위한 최적 경로 설정 알고리즘)

  • 박성우;김영천
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.19 no.2
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    • pp.254-265
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    • 1994
  • For solving the optimal routing problem (ORP) in large data networks, and algorithm called the hierarchical aggregation/disaggregation and decomposition/composition gradient project (HAD-GP) algorithm os proposed. As a preliminary work, we improve the performance of the original iterative aggregation/disaggregation GP (IAD-GP) algorithm introduced in [7]. THe A/D concept used in the original IAD-GP algorithm and its modified version naturally fits the hierarchical structure of large data networks and we would expect speed-up in convengence. The proposed HAD-GP algorithm adds a D/C step into the modified IAD-GP algorithm. The HAD-GP algorithm also makes use of the hierarchical-structure topology of large data networks and achieves significant improvement in convergence speed, especially under a distributed environment. The speed-up effects are demonstrated by the numerical implementations comparing the HAD-GP algorithm with the (original and modified) IAD-GP and the ordinary GP (ORD-GP) algorithm.

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An Adaptive Z-buffer Algorithm for PDA Platform (PDA 플랫폼을 위한 적응형 Z-버퍼 알고리즘)

  • Kim Dae-Young;Kim Hyo-Chul
    • Journal of Korea Multimedia Society
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    • v.9 no.1
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    • pp.41-50
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    • 2006
  • This paper aims to improve the efficiency of a 3D-graphic software engine in a PDA platform and the performance of a rasterizer. There are many problems in implementing a software engine in a mobile platform, due to its relatively weak processing power. Taking the advantages and complementing weaknesses of the depth-sort algorithm and the Z-buffer algorithm, we implemented an adaptive Z-buffer algorithm and proved its performance on several PDA platforms. Our algorithm was evaluated to have midway speed compared with two conventional algorithms. It also removed reversal errors in comparison with the depth-sort algorithm.

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