• Title/Summary/Keyword: Brent Algorithm

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Cycle Detection in Discrete Logarithm Using a Queue (큐를 이용한 이산대수의 사이클 검출)

  • Lee, Sang-Un
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.17 no.3
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    • pp.1-7
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    • 2017
  • This paper proposes a discrete logarithm algorithm that largely reduces execution times of Pollard's Rho and Brent's algorithm in obtaining ${\gamma}$ from ${\alpha}^{\gamma}{\equiv}{\beta}$(mod p). The proposed algorithm can be distinguished from the conventional Brent's algorithm by three major features: it sets an initial value as $x_0={\alpha}{\beta}$ in lieu of $x_0=1$; replaces $y=x_i$, ($i=2^k$) pointer with $y_j{\leftarrow}x_i$, ($i=2^k$, $1{\leq}j{\leq}10$) for a Queue the size 10; and detects collision of ${\beta}_{\gamma}$, ${\beta}_{{\gamma}^{\prime}}$, ${\beta}_{{\gamma}^{-1}}$ instead of ${\beta}_{\gamma}$. This Queue method has reduced the execution time of Pollard's Rho algorithm with $x_0=y_0=1$ by 65.02%, and that of Brent's algorithm with $x_0=1$ by 47.80%.

Design of Algorithm for maximum Signal Sensing by Optical System (광시스템에서 maximum 신호 Sensing을 위한 Algorithm 설계)

  • Choi, Do-Sun
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.3 no.4
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    • pp.70-75
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    • 2010
  • In this paper, was designed Algorithm Brent. this Algorithm can be used in the medical optical system. Optical signals are transmitted using optical fibers and integrated Optic. Developed Algorithm finds the maximum of the transmitted signal intensity. Optical system is made for Laser-Diode, HeNe-Laseer, controller for stepping motor, glass fiber and integrated Optic, etc. In this paper, two algorithms were investigated.

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Dynamic storage management for mobile platform based on the characteristics of mobile applications (응용프로그램 특성을 고려한 모바일 플랫폼의 동적 메모리 관리기법)

  • You, Yong-Duck;Park, Sang-Hyun;Choi, Hoon
    • The KIPS Transactions:PartA
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    • v.13A no.7 s.104
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    • pp.561-572
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    • 2006
  • Performance of the mobile devices greatly depends on the efficient resource management because they are usually resource-restricted. In particular, the dynamic storage allocation algorithms very important part of the mobile device's operating system and OS-like software platform. The existing dynamic storage allocation algorithms did not consider application's execution style and the type, life-time, and characteristics of memory objects that the application uses. Those algorithms, as a result, could not manage memory efficiently Therefore, this Paper analyzes the mobile application's execution characteristics and proposes anew dynamic storage allocation algorithm which saves the memory space and improves mobile application's execution speed. The test result shows that the proposed algorithm works 6.5 times faster than the linked-list algorithm[11], 2.5 times faster better than the Doug. Lea's algorithm[12] and 10.5 times faster than the Brent algorithm[14].

Visual Tracking of Objects for a Mobile Robot using Point Snake Algorithm

  • Kim, Won;Lee, Choon-Young;Lee, Ju-Jang
    • 제어로봇시스템학회:학술대회논문집
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    • 1998.10a
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    • pp.30-34
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    • 1998
  • Path Planning is one of the important fields in robot technologies. Local path planning may be done in on-line modes while recognizing an environment of robot by itself. In dynamic environments to obtain fluent information for environments vision system as a sensing equipment is a one of the most necessary devices for safe and effective guidance of robots. If there is a predictor that tells what future sensing outputs will be, robot can respond to anticipated environmental changes in advance. The tracking of obstacles has a deep relationship to the prediction for safe navigation. We tried to deal with active contours, that is snakes, to find out the possibilities of stable tracking of objects in image plane. Snakes are defined based on energy functions, and can be deformed to a certain contour form which would converge to the minimum energy states by the forces produced from energy differences. By using point algorithm we could have more speedy convergence time because the Brent's method gives the solution to find the local minima fast. The snake algorithm may be applied to sequential image frames to track objects in the images by these characteristics of speedy convergence and robust edge detection ability.

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