• Title/Summary/Keyword: search algorithm

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An Effective Block Matching Algorithm for Motion Compensated Coding (이동 보상형 부호화를 위한 효과적인 블록정합 알고리즘)

  • 송현선;김남철;최태호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.13 no.3
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    • pp.221-230
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    • 1988
  • This paper presents an effective block matching algorithm(BMA) in which the number of search point is about a half of that of three step search, and the number of search step is fixed a four. The performance of the proposed algorithm is compared with those of three step search and one-at-at time search(OTS) for three video sequences composed of 16 framse. Moreover the performance of applying subsampling or integral projection to each BMA for further reducing the amount of computation is considered.

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Two-Phase Distributed Evolutionary algorithm with Inherited Age Concept

  • Kang, Young-Hoon;Z. Zenn Bien
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.101.4-101
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    • 2001
  • Evolutionary algorithm has been receiving a remarkable attention due to the model-free and population-based parallel search attributes and much successful results are coming out. However, there are some problems in most of the evolutionary algorithms. The critical one is that it takes much time or large generations to search the global optimum in case of the objective function with multimodality. Another problem is that it usually cannot search all the local optima because it pays great attention to the search of the global optimum. In addition, if the objective function has several global optima, it may be very difficult to search all the global optima due to the global characteristics of the selection methods. To cope with these problems, at first we propose a preprocessing process, grid-filtering algorithm(GFA), and propose a new distributed evolutionary ...

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Regulated partial distortion search algorithm for motion estimation (움직임 추정을 위한 제한된 부분 왜곡 탐색 알고리즘)

  • Hong, Won-Gi;Oh, Tae-Myung;Kim, Young-Ro
    • 전자공학회논문지 IE
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    • v.43 no.2
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    • pp.49-53
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    • 2006
  • A fast motion-estimation algorithm based on regulated partial block distortions is proposed. The proposed algorithm can obtain very accurate motion vectors with a small computational load. Simulation results show that the proposed scheme provides very close performance to the full search while it is about 6 to 28 times faster than the full search.

Early Termination of Block Vector Search for Fast Encoding of HEVC Screen Content Coding

  • Ma, Jonghyun;Sim, Donggyu
    • IEIE Transactions on Smart Processing and Computing
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    • v.3 no.6
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    • pp.388-392
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    • 2014
  • This paper proposes an early termination method of a block vector search for fast encoding of high efficiency video coding (HEVC) screen content coding (SCC). In the proposed algorithm, two blocks indicated by two block vector predictors (BVPs) were first employed as an intra block copy (IBC) search. If the sum of absolute difference (SAD) value of the block is less than a threshold defined empirically, an IBC BV search is terminated early. The initial threshold for early termination is derived by statistical analysis and it can be modified adaptively based on a quantization parameter (QP). The proposed algorithm is evaluated on SCM-2.0 under all intra (AI) coding configurations. Experimental results show that the proposed algorithm reduces IBC BV search time by 29.23% on average while the average BD-rate loss is 0.41% under the HEVC SCC common test conditions (CTC).

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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Development and Applications of Multi-layered Harmony Search Algorithm for Improving Optimization Efficiency (최적화 기법 효율성 개선을 위한 Multi-layered Harmony Search Algorithm의 개발 및 적용)

  • Lee, Ho Min;Yoo, Do Guen;Lee, Eui Hoon;Choi, Young Hwan;Kim, Joong Hoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.4
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    • pp.1-12
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    • 2016
  • The Harmony Search Algorithm (HSA) is one of the recently developed metaheuristic optimization algorithms. Since the development of HSA, it has been applied by many researchers from various fields. The increasing complexity of problems has created enormous challenges for the current technique, and improved techniques of optimization algorithms are required. In this study, to improve the HSA in terms of a structural setting, a new HSA that has structural characteristics, called the Multi-layered Harmony Search Algorithm (MLHSA) was proposed. In this new method, the structural characteristics were added to HSA to improve the exploration and exploitation capability. In addition, the MLHSA was applied to optimization problems, including unconstrained benchmark functions and water distribution system pipe diameter design problems to verify the efficiency and applicability of the proposed algorithm. The results revealed the strength of MLHSA and its competitiveness.

A Faster Algorithm for Target Search (근사적 확률을 이용한 표적 탐색)

  • Jeong, Seong-Jin;Hong, Seong-Pil;Jo, Seong-Jin;Park, Myeong-Ju
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2006.11a
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    • pp.57-59
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    • 2006
  • The purpose of search problem is to maximize the probability of target detection as limited search capability. Especially, as elapsing of time at a point of time of initial information received the target detection rate for searching an expected location due to a moving target such that wrecked ship or submarine decrease in these problems. The algorithm of search problem to a moving target having similar property of above targets should solve the search route as quickly as possible. In existing studies, they have a limit of applying in practice due to increasing computation time required by problem size (i.e., number of search area, search time). In this study, we provide that it takes more reasonable computation time than preceding studies even though extending a problem size practically using an approximate computation of probability.

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A Hybrid of Evolutionary Search and Local Heuristic Search for Combinatorial Optimization Problems

  • Park, Lae-Jeong;Park, Cheol-Hoon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.1 no.1
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    • pp.6-12
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    • 2001
  • Evolutionary algorithms(EAs) have been successfully applied to many combinatorial optimization problems of various engineering fields. Recently, some comparative studies of EAs with other stochastic search algorithms have, however, shown that they are similar to, or even are not comparable to other heuristic search. In this paper, a new hybrid evolutionary algorithm utilizing a new local heuristic search, for combinatorial optimization problems, is presented. The new intelligent local heuristic search is described, and the behavior of the hybrid search algorithm is investigated on two well-known problems: traveling salesman problems (TSPs), and quadratic assignment problems(QAPs). The results indicate that the proposed hybrid is able to produce solutions of high quality compared with some of evolutionary and simulated annealing.

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Implementation of Connected-Digit Recognition System Using Tree Structured Lexicon Model (트리 구조 어휘 사전을 이용한 연결 숫자음 인식 시스템의 구현)

  • Yun Young-Sun;Chae Yi-Geun
    • MALSORI
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    • no.50
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    • pp.123-137
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    • 2004
  • In this paper, we consider the implementation of connected digit recognition system using tree structured lexicon model. To implement efficiently the fixed or variable length digit recognition system, finite state network (FSN) is required. We merge the word network algorithm that implements the FSN with lexical tree search algorithm that is used for general speech recognition system for fast search and large vocabulary systems. To find the efficient modeling of digit recognition system, we investigate some performance changes when the lexical tree search is applied.

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Binary Search on Tree Levels for IP Address Lookup (IP 주소 검색을 위한 트리 레벨을 사용한 이진 검색 구조)

  • Mun, Ju-Hyoung;Lim, Hye-Sook
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.2B
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    • pp.71-79
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    • 2006
  • Address lookup is an essential function in the Internet routers, and it determines overall router performance. In this paper, we have thoroughly investigated the binary-search-based address lookup algorithms and proposed a new algorithm based on binary search on prefix lengths. Most of the existing binary search schemes perform binary search on prefix values, and hence the lookup speed is proportional to the length of prefixes or the log function of the number of prefixes. The previous algorithm based on binary search on prefix lengths has superior lookup performance than others. However, the algorithm requires very complicated pre-computation of markers and best matching prefixes in internal nodes since naive binary search is not possible in their scheme. This complicated pre-computation makes the composition of the routing table and incremental update very difficult. By using leaf-pushing, the proposed algorithm in this paper removes the complicated pre-computation of the Previous work in performing the binary search on prefix lengths. The performance evaluation results show that the proposed scheme has very good performance in lookup speed compared with previous works.