• 제목/요약/키워드: Paper Search

검색결과 6,582건 처리시간 0.036초

신경회로망을 이용한 동적 손 제스처 인식에 관한 연구 (A Study on Dynamic Hand Gesture Recognition Using Neural Networks)

  • 조인석;박진현;최영규
    • 대한전기학회논문지:시스템및제어부문D
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    • 제53권1호
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    • pp.22-31
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    • 2004
  • This paper deals with the dynamic hand gesture recognition based on computer vision using neural networks. This paper proposes a global search method and a local search method to recognize the hand gesture. The global search recognizes a hand among the hand candidates through the entire image search, and the local search recognizes and tracks only the hand through the block search. Dynamic hand gesture recognition method is based on the skin-color and shape analysis with the invariant moment and direction information. Starting point and ending point of the dynamic hand gesture are obtained from hand shape. Experiments have been conducted for hand extraction, hand recognition and dynamic hand gesture recognition. Experimental results show the validity of the proposed method.

자원제약하의 동적 다중 프로젝트 일정계획에 Tabu Search 적용 (A Tabu Search Approach for Resource Constrained Dynamic Multi-Projects Scheduling)

  • 윤종준;이화기
    • 산업경영시스템학회지
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    • 제22권52호
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    • pp.297-309
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    • 1999
  • Resource Constrained Dynamic Multi-Projects Scheduling(RCDMPS) is intended to minimize the total processing time(makespan) of two or more projects sequentially arriving at the shop under restricted resources. The aim of this paper is to develop the new Tabu Search heuristic for RCDMPS to minimize makespan. We propose the insertion method to generate the neighborhood solutions in applying the Tabu Search for the RCDMPS and the diversification strategy to search the solution space diversely. The proposed diversification strategy apply the dynamic tabu list that the tabu list size is generated and renewed at each iteration by the complexity of the project, and change the proposed tabu attribute. In this paper, We use the dynamic tabu list for the diversification strategy and intensification strategy in the tabu search, and compare with other dispatching heuristic method to verify that the new heuristic method minimize the makespan of the problem.

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선행관계를 가진 다중프로세서 작업들의 Makespan 최소화를 위한 변형타부검색 (Applying tabu search to multiprocessor task scheduling problem with precedence relations)

  • 이동주
    • 산업경영시스템학회지
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    • 제27권4호
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    • pp.42-48
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    • 2004
  • This paper concerns on a multiprocessor task scheduling problem with precedence relation, in which each task requires several processors simultaneously. Meta-heuristic generally finds a good solution if it starts from a good solution. In this paper, a tabu search is presented to find a schedule of minimal time to complete all tasks. A modified tabu search is also presented which uses a new initial solution based on the best solution during the previous run as the new starting solution for the next iteration. Numerical results show that a tabu search and a modified tabu search yield a better performance than the previous studies.

개선된 타부 탐색을 이용한 PID 제어기 설계 (Design of PID Controller using an Improved Tabu Search)

  • 이양우;박경훈;김동욱
    • 대한전기학회논문지:시스템및제어부문D
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    • 제53권5호
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    • pp.323-330
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    • 2004
  • In this paper, we propose a design method of PID controller using an improved Tabu Search. Tabu Search is improved by neighbor solution creation using Gaussian random distribution and generalized Hermite Biehler Theorem for stable bounds. The range of admissible proportional gains are determined first in closed form. Next the optimal PID gains are selected by improved Tabu Search. The results of Computer simulations represent that the proposed Tabu Search algorithm shows a fast convergence speed and a good control performance.

다수표적의 시각적 탐색을 위한 탐색능력 모델과 최적 탐색정지 시점 (Visual Search Models for Multiple Targets and Optimal Stopping Time)

  • 홍승권;박세권;류승완
    • 대한산업공학회지
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    • 제29권2호
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    • pp.165-171
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    • 2003
  • Visual search in an unstructured search field is a fruitful research area for computational modeling. Search models that describe relationship between search time and probability of target detection have been used for prediction of human search performance and provision of ideal goals for search training. Until recently, however, most of models were focused on detecting a single target in a search field, although, in practice, a search field includes multiple targets and search models for multiple targets may differ from search models for a single target. This study proposed a random search model for multiple targets, generalizing a random search model for a single target which is the most typical search model. To test this model, human search data were collected and compared with the model. This model well predicted human performance in visual search for multiple targets. This paper also proposed how to determine optimal stopping time in multiple-target search.

통계관련 사이트의 검색엔진에 관한 고찰

  • 이승우
    • 한국수학사학회지
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    • 제12권1호
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    • pp.82-87
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    • 1999
  • The Internet has developed the computer and communications world. The Internet has tons of millions of sites. To find the specific information, we use a search engine. All search engines are operated by keyword against a database, but many different factors affect the result of search by engines. In this paper, we investigate the development of the Internet and try to find the differences among the most popular search engines.

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Search Design of Resolution III.3 for $3^4$Factorial

  • Um, Jung-Koog
    • Journal of the Korean Statistical Society
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    • 제19권1호
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    • pp.15-23
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    • 1990
  • The basic conditions for a parallel flats fraction to be a search design of resolution III.2 have been developed in Um (1980, 1981, 1983, 1984). A series of resolution III.2 search design for $3^n, n=4, 5, 6$ are presented in Um (1988). In this paper a resoultion III.3 search design for $3^4$ is presented.

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CONVERGENCE OF DESCENT METHOD WITH NEW LINE SEARCH

  • SHI ZHEN-JUN;SHEN JIE
    • Journal of applied mathematics & informatics
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    • 제20권1_2호
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    • pp.239-254
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    • 2006
  • An efficient descent method for unconstrained optimization problems is line search method in which the step size is required to choose at each iteration after a descent direction is determined. There are many ways to choose the step sizes, such as the exact line search, Armijo line search, Goldstein line search, and Wolfe line search, etc. In this paper we propose a new inexact line search for a general descent method and establish some global convergence properties. This new line search has many advantages comparing with other similar inexact line searches. Moreover, we analyze the global convergence and local convergence rate of some special descent methods with the new line search. Preliminary numerical results show that the new line search is available and efficient in practical computation.

Probability Constrained Search Range Determination for Fast Motion Estimation

  • Kang, Hyun-Soo;Lee, Si-Woong;Hosseini, Hamid Gholam
    • ETRI Journal
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    • 제34권3호
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    • pp.369-378
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    • 2012
  • In this paper, we propose new adaptive search range motion estimation methods where the search ranges are constrained by the probabilities of motion vector differences and a search point sampling technique is applied to the constrained search ranges. Our new methods are based on our previous work, in which the search ranges were analytically determined by the probabilities. Since the proposed adaptive search range motion estimation methods effectively restrict the search ranges instead of search point sampling patterns, they provide a very flexible and hardware-friendly approach in motion estimation. The proposed methods were evaluated and tested with JM16.2 of the H.264/AVC video coding standard. Experiment results exhibit that with negligible degradation in PSNR, the proposed methods considerably reduce the computational complexity in comparison with the conventional methods. In particular, the combined method provides performance similar to that of the hybrid unsymmetrical-cross multi-hexagon-grid search method and outstanding merits in hardware implementation.

CELP 부호화기의 코드북 탐색 시간 개선 (Reduced Search for a CELP Adaptive Codebook)

  • 이지웅;나훈;정대권
    • 한국항행학회논문지
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    • 제4권1호
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    • pp.67-77
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    • 2000
  • 본 논문에서는 웨이블렛 변환계수를 이용하여 CELP 부호기의 코드북 탐색 시간을 개선하는 새로운 방법을 제안하고 있다. CELP 음성 부호화기에서 적응 코드북 탐색시 개루프(open loop) 및 폐루프(closed loop) 탐색을 이용하여 피치를 추출하는 과정은 많은 연산량을 필요로 한다. 특히 개루프 탐색에서 전구간에 걸쳐 자기상관함수를 이용한 피치 추출은 과도한 탐색시간에 비효율적인 것으로 지적되어 왔다. 본 논문에서는 다양한 스케일리 계수에 대한 다이애딕 웨이블렛 변환계수의 최대값의 위치가 변하지 않는 주파수에 피치가 존재하는 특성을 이용하여 새로운 적응코드북 탐색 방법을 제안하고 있다. 제안한 알고리즘은 기존의 적응 코드북 탐색 시간을 25% 감소시켰고, 합성된 음성신호의 음질의 차이는 거의 느낄 수 없었다.

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