• Title/Summary/Keyword: Fast Computation

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A fast exponentiation with sparse prime (Sparse 소수를 사용한 효과적인 지수연산)

  • 고재영;박봉주;김인중
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.23 no.4
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    • pp.1024-1034
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    • 1998
  • Most public cryptosystem widely used in communication network are based on the exponentiation-arithmetic. But, cryptosystem has to use bigger and bigger key parameter to attain an adequate level of security. This situation increases both computation and time delay. Montgomery, yang and Kawamura presented a method by using the pre-computation, intermediately computing and table look-up on modular reduction. Coster, Brickel and Lee persented also a method by using the pre-computation on exponentiation. This paper propose to reduce computation of exponentiation with spare prime. This method is to enhance computation efficiency in cryptosystem used discrete logarithms.

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Fast Methods for a Sobel Operator with Four Directional Masks (네 방향 마스크를 가진 Sobel 연산자의 고속처리 방법)

  • Choi, Woo Young;Park, Rae Hong
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.23 no.6
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    • pp.957-960
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    • 1986
  • Two fast methods for a Sobel operator with four directional masks are proposed. They reduce the computation time more than 50% at the expense of a small extra storage locations. Comparisons of the original method and the proposed fast methods are included.

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Computation and Communication Efficient Key Distribution Protocol for Secure Multicast Communication

  • Vijayakumar, P.;Bose, S.;Kannan, A.;Jegatha Deborah, L.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.4
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    • pp.878-894
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    • 2013
  • Secure multimedia multicast applications involve group communications where group membership requires secured dynamic key generation and updating operations. Such operations usually consume high computation time and therefore designing a key distribution protocol with reduced computation time is necessary for multicast applications. In this paper, we propose a new key distribution protocol that focuses on two aspects. The first one aims at the reduction of computation complexity by performing lesser numbers of multiplication operations using a ternary-tree approach during key updating. Moreover, it aims to optimize the number of multiplication operations by using the existing Karatsuba divide and conquer approach for fast multiplication. The second aspect aims at reducing the amount of information communicated to the group members during the update operations in the key content. The proposed algorithm has been evaluated based on computation and communication complexity and a comparative performance analysis of various key distribution protocols is provided. Moreover, it has been observed that the proposed algorithm reduces the computation and communication time significantly.

Fast Motion Estimation Algorithm Using Early Detection of Optimal Candidates with Priority and a Threshold (우선순위와 문턱치를 가지고 최적 후보 조기 검출을 사용하는 고속 움직임 예측 알고리즘)

  • Kim, Jong-Nam
    • Journal of the Institute of Convergence Signal Processing
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    • v.21 no.2
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    • pp.55-60
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    • 2020
  • In this paper, we propose a fast block matching algorithm of motion estimation using early detection of optimal candidate with high priority and a threshold. Even though so many fast algorithms for motion estimation have been published to reduce computational reduction full search algorithm, still so many works to improve performance of motion estimation are being reported. The proposed algorithm calculates block matching error for each candidate with high priority from previous partial matching error. The proposed algorithm can be applied additionally to most of conventional fast block matching algorithms for more speed up. By doing that, we can find the minimum error point early and get speed up by reducing unnecessary computations of impossible candidates. The proposed algorithm uses smaller computation than conventional fast full search algorithms with the same prediction quality as the full search algorithm. Experimental results shows that the proposed algorithm reduces 30~70% compared with the computation of the PDE and full search algorithms without any degradation of prediction quality and further reduces it with other fast lossy algorithms.

Design and Analysis of Motion Estimation Architecture Applicable to Low-power Energy Management Algorithm (저전력 에너지 관리 알고리즘 적용을 위한 하드웨어 움직임 추정기 구조 설계 및 특성 분석)

  • Kim Eung-Sup;Lee Chanho
    • Proceedings of the IEEK Conference
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    • 2004.06b
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    • pp.561-564
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    • 2004
  • The motion estimation which requires huge computation consumes large power in a video encoder. Although a number of fast-search algorithms are proposed to reduce the power consumption, the smaller the computation, the worse the performance they have. In this paper, we propose an architecture that a low energy management scheme can be applied with several fast-search algorithm. In addition. we show that ECVH, a software scheduling scheme which dynamically changes the search algorithm, the operating frequency, and the supply voltage using the remaining slack time within given power-budget, can be applied to the architecture, and show that the power consumption can be reduced.

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Fast Time Difference of Arrival Estimation for Sound Source Localization using Partial Cross Correlation

  • Yiwere, Mariam;Rhee, Eun Joo
    • Journal of Information Technology Applications and Management
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    • v.22 no.3
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    • pp.105-114
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    • 2015
  • This paper presents a fast Time Difference of Arrival (TDOA) estimation for sound source localization. TDOA is the time difference between the arrival times of a signal at two sensors. We propose a partial cross correlation method to increase the speed of TDOA estimation for sound source localization. We do this by predicting which part of the cross correlation function contains the required TDOA value with the help of the signal energies, and then we compute the cross correlation function in that direction only. Experiments show approximately 50% reduction in the cross correlation computation time thereby increasing the speed of TDOA computation. This makes it very relevant for real world surveillance.

Fast Intra-Prediction Mode Decision Algorithm for H.264/AVC using Non-parametric Thresholds and Simplified Directional Masks

  • Kim, Young-Ju
    • Journal of information and communication convergence engineering
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    • v.7 no.4
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    • pp.501-506
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    • 2009
  • In the H.264/ AVC video coding standard, the intra-prediction coding with various block sizes offers a considerably high improvement in coding efficiency compared to previous standards. In order to achieve this, H.264/AVC uses the Rate-distortion optimization (RDO) technique to select the best intraprediction mode for a macroblock, and it brings about the drastic increase of the computation complexity of H.264 encoder. To reduce the computation complexity and stabilize the coding performance on visual quality, this paper proposed a fast intra-prediction mode decision algorithm using non-parametric thresholds and simplified directional masks. The use of nonparametric thresholds makes the intra-coding performance not be dependent on types of video sequences and simplified directional masks reduces the compuation loads needed by the calculation of local edge information. Experiment results show that the proposed algorithm is able to reduce more than 55% of the whole encoding time with a negligible loss in PSNR and bitrates and provides the stable performance regardless types of video sequences.

Fast NC Cutting Verification Using Graphic Hardware (그래픽 하드웨어를 이용한 NC 가공 검증의 고속화)

  • 김경범;이상헌;우윤환
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.10a
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    • pp.616-619
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    • 2002
  • The z-map structure is widely used for NC tool path verification as it is very simple and fast in calculation of Boolean operations. However, if the number of the x-y grid points in a z-map is increased to enhance its accuracy, the computation time for NC verification increases rapidly. To reduce this computation time, we proposed a NC verification method using 3-D graphic acceleration hardwares. In this method, the z-map of the resultant workpiece machined by a NC program is obtained by rendering tool swept volumes along tool pathos and reading the depth buffer of the graphic card. The experimental results show that this hardware-based method is faster than the conventional software-based method.

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A Study of Fast Contingency Analysis Algorithm (신속한 상정사고해석 알고리즘에 관한 연구)

  • Moon, Young-Hyun
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.34 no.11
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    • pp.421-429
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    • 1985
  • With the rapid increase of contingency cases due to complication of power system, the reduction of computation time in contingency analysis has become more significant than ever before. This paper deals with the development of a fast contingency analysis algorithm by using a matrix decomposition method. The proposed matrix decomposition method of contingency analysis yields an accurate solution by using the original triangular factor table. An outstanding feature of this method is of no need of factor table modification for network changes due to contingency outages. The proposed method is also applicable to multiple contingency analysis withremarkable reduction of computation time. The algorithm has been tested for a number of single and multiple contigencies in 17-bus and 50-bus systems. The numerical results show its applicability to practical power systems.

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A Simplified Method to Estimate Travel Cost based on Traffic-Adaptable Heuristics for Accelerating Path Search

  • Kim, Jin-Deog
    • Journal of information and communication convergence engineering
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    • v.5 no.3
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    • pp.239-244
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    • 2007
  • In the telematics system, a reasonable path search time should be guaranteed from a great number of user's queries, even though the optimal path with minimized travel time might be continuously changed by the traffic flows. Thus, the path search method should consider traffic flows of the roads and the search time as well. However, the existing path search methods are not able to cope efficiently with the change of the traffic flows and to search rapidly paths simultaneously. This paper proposes a new path search method for fast computation. It also reflects the traffic flows efficiently. Especially, in order to simplify the computation of variable heuristic values, it employs a simplification method for estimating values of traffic-adaptable heuristics. The experiments are carried out with the $A^*$ algorithm and the proposed method in terms of the execution time, the number of node accesses and the accuracy. The results obtained from the experiments show that the method achieves very fast execution time and the reasonable accuracy as well.