• 제목/요약/키워드: Sequential Simulation

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A Distributed Sequential Link Schedule Combined with Routing in Wireless Mesh Networks

  • Cha, Jae-Ryong;Kim, Jae-Hyun
    • ETRI Journal
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    • 제34권3호
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    • pp.462-465
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    • 2012
  • This letter proposes a new distributed scheduling scheme combined with routing to support the quality of service of real-time applications in wireless mesh networks. Next, this letter drives average end-to-end delay of the proposed scheduling scheme that sequentially schedules the slots on a path. Finally, this letter simulates the time division multiple access network for performance comparison. From the simulation results, when the average number of hops is 2.02, 2.66, 4.1, 4.75, and 6.3, the proposed sequential scheduling scheme reduces the average end-to-end delay by about 28%, 10%, 17%, 27%, and 30%, respectively, compared to the conventional random scheduling scheme.

Energy-efficient Power Allocation based on worst-case performance optimization under channel uncertainties

  • Song, Xin;Dong, Li;Huang, Xue;Qin, Lei;Han, Xiuwei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권11호
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    • pp.4595-4610
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    • 2020
  • In the practical communication environment, the accurate channel state information (CSI) is difficult to obtain, which will cause the mismatch of resource and degrade the system performance. In this paper, to account for the channel uncertainties, a robust power allocation scheme for a downlink Non-orthogonal multiple access (NOMA) heterogeneous network (HetNet) is designed to maximize energy efficiency (EE), which can ensure the quality of service (QoS) of users. We conduct the robust optimization model based on worse-case method, in which the channel gains belong to certain ellipsoid sets. To solve the non-convex non-liner optimization, we transform the optimization problem via Dinkelbach method and sequential convex programming, and the power allocation of small cell users (SCUs) is achieved by Lagrange dual approach. Finally, we analysis the convergence performance of proposed scheme. The simulation results demonstrate that the proposed algorithm can improve total EE of SCUs, and has a fast convergence performance.

6000톤급 자율운항선박을 위한 자동계류장치 설계 및 구조 최적화에 대한 연구 (A Study on the Design and Structure Optimization of an Automatic Mooring System for a 6000 ton Class Autonomous Ship)

  • 김남건;신하늘;김태균;박지혁
    • 로봇학회논문지
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    • 제17권4호
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    • pp.493-499
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    • 2022
  • This paper presents the design for the kinematic structure of a system for an automatically moored 6000 ton autonomous ship in a port, and the process and results of optimal design for the link cross-sectional shape. We propose an automatic mooring system with a PPP type serial manipulator structure capable of linear motion in the XYZ axis. The mooring force applied by the mooring system was derived with dynamics simulation tool "ADAMS". The design goal is the minimization of the cross-sectional area of the link. Constrains include compressive stress and shear stress. The optimization problems were solved by using the sequential quadratic programing method implemented in the fmincon package. The shape of the cross section was assumed to be rectangle. Through future research, we plan to manufacture automatic mooring system for 6000ton class autonomous ship.

Initial sample size problem in the sequential test for the mean of a normal distribution

  • Park, S. C.
    • Journal of the Korean Statistical Society
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    • 제3권1호
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    • pp.3-12
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    • 1974
  • The two-stage sequential test, suggested by Baker [2] for testing hypotheses $H_0:\mu=\mu_0$ and $H_1:\mu=\mu_1$ of $N(\mu,\sigma^2)$ with the unknown $\sigma^2$ would not be amenable for applications unles some cluses on the choice of the first-stage sample size are available. The study in this paper is intended to shed some light on the size of the first-stage sample. An approximate method is used to estimate an optimal initial sample size that minimizes the average sample number. In brief, the optimal size is a strictly monotone decreasing function of the quantity $(\mu_1-\mu_0)/\sigma$. Empirical and simulation results are used to ascertain the negligible effect of possible errors due to approximations and assumptions used.

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효율적인 유체 시뮬레이션을 위한 투영 단계에서의 멀티 코어 프로세서와 그래픽 프로세서의 병렬처리 (Parallel Processing of Multi-Core Processor and GPUs in Projection Step for Efficient Fluid Simulation)

  • 김선태;정휘룡;홍정모
    • 한국콘텐츠학회논문지
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    • 제13권6호
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    • pp.48-54
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    • 2013
  • 최근 영화나 CF등에 사용되는 컴퓨터 그래픽스(Computer Graphics, 이하 CG)분야의 유체 시뮬레이션에서는 CPU와 GPU를 혼합하여 사용하는 기술들이 소개되고 있다. 본 논문에서는 유체 시뮬레이션 수행을 위한 투영 단계에서 멀티쓰레드를 이용하여 기존의 CPU와 GPU 간의 작업을 순차적으로 수행하던 방식을 개선하여 CPU와 GPU 간의 작업을 병렬처리 방법을 제시하였다. 제시된 방법을 통해 많은 계산량을 필요로 하는 유체시뮬레이션의 효율성을 높일 수 있었다.

General purpose dynamic process simulator based upon the cluster-modular approach

  • Lee, Kang-Wook;Lee, Kang-Ju;Yoon, En-Sup
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1994년도 Proceedings of the Korea Automatic Control Conference, 9th (KACC) ; Taejeon, Korea; 17-20 Oct. 1994
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    • pp.638-642
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    • 1994
  • The objectives of this work are to present the dynamic simulation strategy based on cluster-modular approach and to develop a prototype simulator. In addition, methods for the improvement of computational efficiency and applicability are studied. A process can be decomposed into several clusters which consist of strongly coupled units depending upon the process dynamics or topology. The combined approach of simultaneous and sequential simulation based on the cluster structure is implemented within the developed dynamic process simulator, MOSA(Multi Objective Simulation Architecture). Dynamic simulation for a utility plant is presented as a case study in order to prove the efficiency and flexibility of MOSA.

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Intelligent System Predictor using Virtual Neural Predictive Model

  • 박상민
    • 한국시뮬레이션학회:학술대회논문집
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    • 한국시뮬레이션학회 1998년도 The Korea Society for Simulation 98 춘계학술대회 논문집
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    • pp.101-105
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    • 1998
  • A large system predictor, which can perform prediction of sales trend in a huge number of distribution centers, is presented using neural predictive model. There are 20,000 number of distribution centers, and each distribution center need to forecast future demand in order to establish a reasonable inventory policy. Therefore, the number of forecasting models corresponds to the number of distribution centers, which is not possible to estimate that kind of huge number of accurate models in ERP (Enterprise Resource Planning)module. Multilayer neural net as universal approximation is employed for fitting the prediction model. In order to improve prediction accuracy, a sequential simulation procedure is performed to get appropriate network structure and also to improve forecasting accuracy. The proposed simulation procedure includes neural structure identification and virtual predictive model generation. The predictive model generation consists of generating virtual signals and estimating predictive model. The virtual predictive model plays a key role in tuning the real model by absorbing the real model errors. The complement approach, based on real and virtual model, could forecast the future demands of various distribution centers.

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Numerical Simulation of Turbulence-Induced Flocculation and Sedimentation in a Flocculant-Aided Sediment Retention Pond

  • Lee, Byung Joon;Molz, Fred
    • Environmental Engineering Research
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    • 제19권2호
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    • pp.165-174
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    • 2014
  • A model combining multi-dimensional discretized population balance equations with a computational fluid dynamics simulation (CFD-DPBE model) was developed and applied to simulate turbulent flocculation and sedimentation processes in sediment retention basins. Computation fluid dynamics and the discretized population balance equations were solved to generate steady state flow field data and simulate flocculation and sedimentation processes in a sequential manner. Up-to-date numerical algorithms, such as operator splitting and LeVeque flux-corrected upwind schemes, were applied to cope with the computational demands caused by complexity and nonlinearity of the population balance equations and the instability caused by advection-dominated transport. In a modeling and simulation study with a two-dimensional simplified pond system, applicability of the CFD-DPBE model was demonstrated by tracking mass balances and floc size evolutions and by examining particle/floc size and solid concentration distributions. Thus, the CFD-DPBE model may be used as a valuable simulation tool for natural and engineered flocculation and sedimentation systems as well as for flocculant-aided sediment retention ponds.

대체모델의 정확성 및 강건성 향상을 위한 가중함수 기반 순차 최소거리최대화계획 (Weight Function-based Sequential Maximin Distance Design to Enhance Accuracy and Robustness of Surrogate Model)

  • 장준용;조수길;이태희
    • 대한기계학회논문집A
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    • 제39권4호
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    • pp.369-374
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    • 2015
  • 효율적인 최적설계를 위해 공학분야에 도입된 대체모델의 정확성은 표본점에 큰 영향을 받는다. 대체모델의 정확성을 높이는 방법으로 기 추출한 응답을 이용하는 순차실험계획이 제안되었다. 크리깅 대체모델의 상관계수를 가중치로 적용하여 대체모델의 정확성을 향상시킨 연구가 있었으나, 주어진 정보가 부족하거나 상관계수가 잘못 추정된 경우 표본점이 잘못 추출되어 대체모델의 강건성이 저하된다. 본 논문에서는 기존 순차실험계획의 여러 문제점을 제시하고, 이를 해결하기 위한 가중함수 기반 순차 최소거리최대화계획을 제안한다. 제안하는 순차실험계획의 효용성을 수학 함수에 적용하여 기존 순차실험계획들과 비교하여 정확성과 강건성이 향상됨을 예시한다.

순서회로를 위한 경계면 스캔 구조에서의 지연시험 연구 (A Study of Delay Test for Sequential circuit based on Boundary Scan Architecure)

  • 이창희;김정환;윤태진;남인길;안광선
    • 한국정보처리학회논문지
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    • 제5권3호
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    • pp.862-872
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    • 1998
  • 본 논문에서는 경계면 스캔 구조에서의 클럭 입력을 갖는 순서회로를 위한 지연시험 구조와 지연시험 절차를 개발하였다. 지연시험 대상회로가 클럭 입력을 갖는 순서회로일 경우, 기존의 경계면 스캔 구조에서의 지연시험은 중복패턴의 입력, 클럭 입력과 데이터 입력과의 시간 간격과, 패턴 입력과 응답값 캡쳐까지의 시간 문제에 의해 적절치 않음을 보였다. 본 논문에서 제안하는 ARCH-S는 클럭 카운팅 기술을 이용하여 정해진 수의 클럭을 대상회로의 클럭 입력선에 적용시킴으로써 대상회로에 입력되는 입력 패턴의 중복을 피할 수 있다. 또한 대상회로를 정상 속도에서 동작할 수 있도록 시스템 클럭을 TCK로 사용한다. 연속적인 클럭 발생에 TCK를 사용함으로써 대상회로를 정상 속도에서 검증할 수 있다. 제안된 ARCH-S 구조는 시뮬레이션을 통해 동작의 정확성과, 기존의 구조와 비교하여 향상된 성능을 가짐을 확인하였다.

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