• Title/Summary/Keyword: 근사 알고리듬

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최대 가중치 합 그래프 마디 분리에 관한 연구 (이론분야)

  • Hong, Seong-Pil;Jeong, Seong-Jin;Kim, Yeong-Il
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2006.11a
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    • pp.577-588
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    • 2006
  • 이 논문에서는 호의 가중치가 음수가 될 수 있는 무향 그래프에서 마디집합들을 선택했을 때, 각 마디집합 사이에 걸쳐 있는 호의 가중치 합을 최대화하는 최대 가중치 합 그래프마디 분리 문제에 대해 연구한다. 우선$P\;{\neq}\;NP$ 라는 가정 하에서, 이 문제는 NP - hard이며 어떠한 근사 계수를 가지는 근사해법도 존재하지 않는다는 것을 밝힌다. 또한 이 문제를 정수 계획으로 풀기 위해, 그래프의 절단면을 나타내는 벡터들이 만드는 다면체의 극대면(facet)을 정의하는 부등식들을 추가 제약식으로 사용하는 branch-and-cut 알고리듬을 제시하고 구현하였다.

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3-Dimensional Finite Element Analysis of Thermoforming Processes (열성형공정의 3차원 유한요소해석)

  • G.J. Nam;D.S. Son;Lee, J.W.
    • The Korean Journal of Rheology
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    • v.11 no.1
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    • pp.18-27
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    • 1999
  • Predicting the deformation behaviors of sheets in thermoforming processes has been a daunting challenge due to the strong nonlinearities arising from very large deformations, mold-polymer contact condition and hyperelasticity constitutive equations. Nonlinear numerical analysis is always required to face this challenge especially for realistic processing conditions. In this study a 3-D algorithm and the membrane approximation are developed for thermoforming processes. The constitutive equation is expressed in terms of the 2nd Piola-Kirchhoff stress tensor and the Cauchy-Green deformation tensor. The 2-term Mooney-Rivlin model is used for the material model equation. The algorithm is established by the finite element formulation employing the total Lagrangian coordinate. The deformation behavior and the stress distribution results of 3-D algorithm with various point boundary conditions are compared to those of the membrane approximation algorithm. Also, the slip boundary condition and the no-slip boundary condition are applied for the systems that have molds. Finally, the effect of sheet temperatures on the final thickness distribution is investigated for the ABS material.

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EM Tomography by Extended Born Approximations (확장된 Born 근사에 의한 EM 토모그래피)

  • Cho In-Ky;Sim Hyun-Mi
    • Geophysics and Geophysical Exploration
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    • v.1 no.3
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    • pp.155-160
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    • 1998
  • EM tomography technique has been developed. The algorithm used the extended Born approximations for forward modeling and reconstructed a conductivity image by a smoothness constraint least squares inversion method. Observed data, the vertical components of secondary magnetic fields, were simulated with the 3-D integral equation code. The results showed that the location of anomalous body could be imaged very well, but conductivity of the body was lower than real one and the vertical resolution was much higher than the horizontal resolution.

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2-Approximation Algorithm for Parallel Machine Scheduling with Consecutive Eligibility (주어진 구간내의 기계에서만 생산 가능한 병렬기계문제에 대한 2-근사 알고리듬)

  • Hwang, Hark-Chin;Kim, Gyutai
    • Journal of Korean Institute of Industrial Engineers
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    • v.29 no.3
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    • pp.190-196
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    • 2003
  • We consider the problem of scheduling n jobs on m machines with the objective of minimizing makespan. Each job cannot be eligible to all the machines but to its consecutively eligible set of machines. For this problem, a 2-approximation algorithm, MFFH, is developed. In addition, an example is presented to show the tightness of the algorithm.

지연 예측신경망을 이용한 적응 GPC

  • 정희태
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.7
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    • pp.1527-1532
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    • 2003
  • 기존의 GPC방법으로 제어하기 힘든 비선형성과 플랜트의 변수변화를 포함하는 비선형 플랜트를 지연 예측신경망을 사용하여 효과적으로 제어하는 적응 GPC방법을 제안한다 제안한 방법에서는 플랜트의 선형 변수 추정이나 근사적인 모델로부터 선형 매개변수를 구해서 선형 모델을 만들고 실제 시스템의 출력과 선형모델의 오차를 신경망의 출력으로 표현한 다음, 이 식으로부터 적응 GPC 알고리듬을 유도한다. 여기서 지연 예측신경망은 적응 GPC에 이용될 플랜트의 출력을 예측하도록 학습된다. 이와 같은 제어기를 구성함으로써 선형 변수만으로 적응 GPC 제어기가 구성되어질 경우 생기는 비선형 변수의 추정과 출력 예측 값을 계산하는 번거로움을 해결하였다.

Improvement of a Planning Technique Based on Heuristic Target Shaping for Stereotactic Radiosurgery (방사선 수술시 경험적 표적 근사화에 근거한 최적화 방법 개선)

  • Oh Seungjong;Choi Kyoung-Sik;Song Ju-Young;Suh Tae-Suk
    • Progress in Medical Physics
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    • v.16 no.4
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    • pp.176-182
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    • 2005
  • Stereotactic radiosurgery (SRS) is a technique to deliver a high dose to a target region and a low dose to a critical organ through only one or a few irradiation. The SRS must be planned exactly. Currently the surgery plan is peformed by trial and error method. There are many questions about the reliability and reproducibility of the plan result. This study Improve each step of the Oh's method based on heuristic target shaping to obtain the better result. The target was reconstructed using cylinders with same height and the neighbored cylinders were combined according to the difference of each center and diameter. Then, spheres were packed within each cylinders by the packing rules. Two virtual targets were used to compare this method with Oh's method. As a result, the numbers of isocenter were successfully reduced - more than $35\%$ and $26\%$ - without serious differences of proscription isodose to tumour volume ratio (PITV) and maximum dose to proscription dose ratio (MDPD). This technique using cylinder piling and sphere packing will be a helpful tool to planner in stereotactic radiosurgery.

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An analysis of optimal design conditions of LDPC decoder for IEEE 802.11n Wireless LAN Standard (IEEE 802.11n 무선랜 표준용 LDPC 복호기의 최적 설계조건 분석)

  • Jung, Sang-Hyeok;Na, Young-Heon;Shin, Kyung-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.4
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    • pp.939-947
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    • 2010
  • The LDPC(Low-Density Parity-Check) code, which is one of the channel encoding methods in IEEE 802.11n wireless LAN standard, has superior error-correcting capabilities. Since the hardware complexity of LDPC decoder is high, it is very important to take into account the trade-offs between hardware complexity and decoding performance. In this paper, the effects of LLR(Log-Likelihood Ratio) approximation on the performance of MSA(Min-Sum Algorithm)-based LDPC decoder are analyzed, and some optimal design conditions are derived. The parity check matrix with block length of 1,944 bits and code rate of 1/2 in IEEE 802.11n WLAN standard is used. In the case of $BER=10^{-3}$, the $E_b/N_o$ difference between LLR bit-widths (6,4) and (7,5) is 0.62 dB, and $E_b/N_o$ difference for iteration cycles 6 and 7 is 0.3 dB. The simulation results show that optimal BER performance can be achieved by LLR bit-width of (7,5) and iteration cycle of 7.

Time Domain Acoustic Propagation Analysis Using 2-D Pseudo-spectral Modeling for Ocean Environment (해양환경에서 2차원 유사 스펙트럴 모델링을 이용한 시간 영역 음 전달 해석)

  • Kim Keesan;Lee Keunhwa;Seong Woojae
    • The Journal of the Acoustical Society of Korea
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    • v.23 no.8
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    • pp.576-582
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    • 2004
  • A computer code that is based on the Pseudo-spectral finite difference algorithm using staggered grid is developed for the wave propagation modeling in the time domain. The advantage of a finite difference approximation is that any geometrically complicated media can be modeled. Staggered grids are advantageous as it provides much more accuracy than using a regular grid. Pseudo-spectral methods are those that evaluate spatial derivatives by multiplying a wavenumber by the Fourier transform of a pressure wave-field and performing the inverse Fourier transform. This method is very stable and reduces memory and the number of computations. The synthetic results by this algorithm agree with the analytic solution in the infinite and half space. The time domain modeling was implemented in various models. such as half-space. Pekeris waveguide, and range dependent environment. The snapshots showing the total wave-field reveals the Propagation characteristic or the acoustic waves through the complex ocean environment.

An Implementation of Cutting-Ironbar Manufacturing Software using Dynamic Programming (동적계획법을 이용한 철근가공용 소프트웨어의 구현)

  • Kim, Seong-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.4
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    • pp.1-8
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    • 2009
  • In this paper, we deal an implementation of the software that produces sub-optimal solution of cutting-ironbar planning problem using dynamic programming. Generally, it is required to design an optimization algorithm to accept the practical requirements of cutting ironbar manufacturing. But, this problem is a multiple-sized 1-dimensional cutting stock problem and Linear Programming approaches to get the optimal solution is difficult to be applied due to the problem of explosive computation and memory limitation. In order to overcome this problem, we reform the problem for applying Dynamic Programming and propose a cutting-ironbar planning algorithm searching the sub-optimal solution in the space of fixed amount of combinated columns by using heuristics. Then, we design a graphic user interfaces and screen displays to be operated conveniently in the industry workplace and implement the software using open-source GUI library toolkit, GTK+.

A Resource Allocation Scheme in Spatial Multiplexing Marine Communication Systems Considering Channel Characteristics (공간 다중화 해양 통신 시스템에서 채널 특성을 고려한 자원 할당 기법)

  • Tcha, Wonjung;Lee, Gilsu;Nam, Yujin;Lee, Seong Ro;Jeong, Min-A;So, Jaewoo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39C no.7
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    • pp.528-537
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    • 2014
  • As the data traffic between ships and a land station continuously increase through the shipbuilding-IT convergence, several wireless communication technologies are being studied to process large amounts of data traffic. In particular, the multi-antenna system is one of the most expected technologies to provide high throughput. This paper proposes an algorithm for the base station to select the ship in consideration of channel characteristics and the transmission angle for a beam of the land station in spatial multiplexing marine communication systems. We increase the system capacity by maximizing the received signal strength of the ship using clustering characteristic of the radio channel. Also, we reduce the time to select the ship by excluding the ship with the large interference between the beams. On our computer simulation, the proposed scheme dramatically reduces the computational complexity with a little sacrifice of the throughput.