• Title/Summary/Keyword: Solution-based process

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Solution of Eigenproblems for Non-proportional Damping Systems by Lanczos Method (Lanczos 방법에 의한 비비례 감쇠 시스템의 고유치 해석)

  • 김만철;정형조;오주원;이인원
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1998.04a
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    • pp.283-290
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    • 1998
  • A solution method is presented to solve the eigenproblem arising in tile dynamic analysis of non-proportional damping systems with symmetric matrices. The method is based on tile use of Lanczos method to generate a Krylov subspace of trial vectors, witch is then used to reduce a large eigenvalue problem to a much smaller one. The method retains the η order quadratic eigenproblem, without the need to the method of matrix augmentation traditionally used to cast the problem as a linear eigenproblem of order 2n. In the process, the method preserves tile sparseness and symmetry of the system matrices and does not invoke complex arithmetics, therefore, making it very economical for use in solving large problems. Numerical results are presented to demonstrate the efficiency and accuracy of the method.

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Systematization of module design of a product (제품의 모듈 설계의 체계화)

  • Mok Hak Su;Yang Tae-Il
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2002.05a
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    • pp.625-631
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    • 2002
  • A module design aims to develop product architecture that consists physically detachable units such as module. To develop the system of module design, this paper suggests the methodology of part grouping, evaluation of modularization of a product for improving modularization. To determine modules, module concept is proposed to satisfy the objectives of a modular design. Therefore, there are functional, structural, and process modularizations in a modular concept. Module grouping can be accomplished by using an optimization model that maximizes the sum of the weighting. The present study proposes the p-median model and the direct clustering technique. The optimal clustering solution can be obtained by comparing two clustering techniques. To find the best solution among part groups, evaluation of modularization is performed based on the concept of module design. For the evaluation of modularization, evaluation criteria of modularization are used in the matrix table.

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Determination of Guide Path of AGVs Using Genetic Algorithm (유전 알고리듬을 이용한 무인운반차시스템의 운반경로 결정)

  • 장석화
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.26 no.4
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    • pp.23-30
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    • 2003
  • This study develops an efficient heuristic which is based on genetic approach for AGVs flow path layout problem. The suggested solution approach uses a algorithm to replace two 0-1 integer programming models and a branch-and-bound search algorithm. Genetic algorithms are a class of heuristic and optimization techniques that imitate the natural selection and evolutionary process. The solution is to determine the flow direction of line in network AGVs. The encoding of the solutions into binary strings is presented, as well as the genetic operators used by the algorithm. Genetic algorithm procedure is suggested, and a simple illustrative example is shown to explain the procedure.

Multi-Exchange Neighborhood Search Heuristics for the Multi-Source Capacitated Facility Location Problem

  • Chyu, Chiuh-Cheng;Chang, Wei-Shung
    • Industrial Engineering and Management Systems
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    • v.8 no.1
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    • pp.29-36
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    • 2009
  • We present two local-search based metaheuristics for the multi-source capacitated facility location problem. In such a problem, each customer's demand can be supplied by one or more facilities. The problem is NP-hard and the number of locations in the optimal solution is unknown. To keep the search process effective, the proposed methods adopt the following features: (1) a multi-exchange neighborhood structure, (2) a tabu list that keeps track of recently visited solutions, and (3) a multi-start to enhance the diversified search paths. The transportation simplex method is applied in an efficient manner to obtain the optimal solutions to neighbors of the current solution under the algorithm framework. Two in-and-out selection rules are also proposed in the algorithms with the purpose of finding promising solutions in a short computational time. Our computational results for some of the benchmark instances, as well as some instances generated using a method in the literature, have demonstrated the effectiveness of this approach.

Design of Fuzzy-Sliding Model Control with the Self Tuning Fuzzy Inference Based on Genetic Algorithm and Its Application

  • Go, Seok-Jo;Lee, Min-Cheol;Park, Min-Kyn
    • Transactions on Control, Automation and Systems Engineering
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    • v.3 no.1
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    • pp.58-65
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    • 2001
  • This paper proposes a self tuning fuzzy inference method by the genetic algorithm in the fuzzy-sliding mode control for a robot. Using this method, the number of inference rules and the shape of membership functions are optimized without an expert in robotics. The fuzzy outputs of the consequent part are updated by the gradient descent method. And, it is guaranteed that he selected solution become the global optimal solution by optimizing the Akaikes information criterion expressing the quality of the inference rules. The trajectory tracking simulation and experiment of the polishing robot show that the optimal fuzzy inference rules are automatically selected by the genetic algorithm and the proposed fuzzy-sliding mode controller provides reliable tracking performance during the polishing process.

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Security Assessment for Bus Voltages Using Probabilistic Load Flow (PLF(Probabilistic Load Flow)를 이용한 모선 전압 안전도 평가)

  • Lee, Seung-Hyuk;Jung, Chang-Ho;Kim, Jin-O;Kim, Tae-Kyun;Choo, Jin-Bu
    • Proceedings of the KIEE Conference
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    • 2003.11a
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    • pp.28-30
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    • 2003
  • Probabilistic Load Flow(PLF) solution based on the method of moments is used for security assessment of bus voltages in power systems. Bus voltages, line currents, line admittances, generated real and reactive power, and bus loads are treated as complex random variables. These complex random variables are known in terms of probability density functions(PDF). Also, expressions for the convolutions of complex random variables in terms of moments and cumulants have been derived. Proposed PLF solution using the method of moments is fast, because the process of convolution of various complex random variables is performed in moment and cumulant domain. Therefore, the method is applied to security assessment of power systems in this paper. Finally, system operator also can be used information of security assessment to improve reliability of power systems.

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Rich Phase Separation Behavior of Biomolecules

  • Shin, Yongdae
    • Molecules and Cells
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    • v.45 no.1
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    • pp.6-15
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    • 2022
  • Phase separation is a thermodynamic process leading to the formation of compositionally distinct phases. For the past few years, numerous works have shown that biomolecular phase separation serves as biogenesis mechanisms of diverse intracellular condensates, and aberrant phase transitions are associated with disease states such as neurodegenerative diseases and cancers. Condensates exhibit rich phase behaviors including multiphase internal structuring, noise buffering, and compositional tunability. Recent studies have begun to uncover how a network of intermolecular interactions can give rise to various biophysical features of condensates. Here, we review phase behaviors of biomolecules, particularly with regard to regular solution models of binary and ternary mixtures. We discuss how these theoretical frameworks explain many aspects of the assembly, composition, and miscibility of diverse biomolecular phases, and highlight how a model-based approach can help elucidate the detailed thermodynamic principle for multicomponent intracellular phase separation.

HIGHER ORDER GALERKIN FINITE ELEMENT METHOD FOR THE GENERALIZED DIFFUSION PDE WITH DELAY

  • LUBO, GEMEDA TOLESSA;DURESSA, GEMECHIS FILE
    • Journal of applied mathematics & informatics
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    • v.40 no.3_4
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    • pp.603-618
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    • 2022
  • In this paper, a numerical solution of the generalized diffusion equation with a delay has been obtained by a numerical technique based on the Galerkin finite element method by applying the cubic B-spline basis functions. The time discretization process is carried out using the forward Euler method. The numerical scheme is required to preserve the delay-independent asymptotic stability with an additional restriction on time and spatial step sizes. Both the theoretical and computational rates of convergence of the numerical method have been examined and found to be in agreement. As it can be observed from the numerical results given in tables and graphs, the proposed method approximates the exact solution very well. The accuracy of the numerical scheme is confirmed by computing L2 and L error norms.

Automatic Linkage Method Between Email and Block Structure to Store Construction Project Documents in The Blockchain

  • Kim, Eu Wang;Park, Min Seo;Kim, Jong Inn;Wei, Ameng;Kim, Kyoungmin;Kim, Kyong Ju
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.886-892
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    • 2022
  • In construction projects, it is common to exchange documents using email because of convenience. In this study, a method extracting and organizing block information automatically based on email was developed. This method is composed of document exchange and archiving processes, which are difficult to manage and vulnerable to loss. Therefore, this study aims to develop a solution that can automatically link email and block information. The block data components are designed to derive from email exchange and user-additional input information. Also, automatically generating blocks process including extraction and conversion of information was proposed. This solution can lead to promote the convenience of project document management in terms of identifying the document flow and preventing loss of information.

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AN ELECTROMAGNETIC FREE CONVECTION FLOW OF A MICROPOLAR FLUID WITH RELAXATION TIME

  • Zakaria, M.
    • Journal of applied mathematics & informatics
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    • v.8 no.2
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    • pp.539-550
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    • 2001
  • In the present investigation, we study the influence of a transverse magnetic field through a porous medium. Laplace transform techniques are used to derive the solution in the Laplace transform domain. The inversion process is carried out using a numerical method based on Fourier series expansions. Numerical computations for the temperature, the microrotation and the velocity distributions as well as for the induced magnetic and electric fields and carried out and represented graphically.