• Title/Summary/Keyword: Algorithm Element

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Denoising Algorithm using Wavelet and Element Deviation-based Median Filter (웨이브렛과 원소 편차 기반의 중간값 필터를 이용한 잡음제거 알고리즘)

  • Bae, Sang-Bum;Kim, Nam-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.12
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    • pp.2798-2804
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    • 2010
  • The audio and image signal are corrupted by various noises in signal processing, many studies are being accomplished to restore those signals. In this paper, the algorithm is proposed to remove additive Gaussian noise and impulse noise at one dimension signal like an speech signal. The algorithm is composed to remove Gaussian noise after removing impulse noise. And the method using wavelet coefficient accumulation is used to remove the Gaussian noise, and the median filter based on element deviation is applied to remove the impulse noise. Also we compare existing methods using SNR(signal-to-noise ratio) as the standard of judgement of improvemental effect.

Thermal distortion analysis method for TMCP steel structures using shell element

  • Ha, Yun-sok;Rajesh, S.R.
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.1 no.2
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    • pp.95-100
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    • 2009
  • As ships become larger, thicker and higher tensile steel plate are used in shipyard. Though special chemical compositions are required for high-tensile steels, recently they are made by the TMCP (Thermo-Mechanical control process) methodology. The increased Yield / Tensile strength of TMCP steels compared to the normalized steel of same composition are induced by suppressing the formation of Ferrite and Pearlite in favor of strong and tough Bainite while being transformed from Austenite. But this Bainite phase could be vanished by another additional thermal cycle like welding and heating. As thermal deformations are deeply related by yield stress of material, the study for prediction of plate deformation by heating should niflect the principle of TMCP steels. The present study is related to the development of an algorithm which could calculate inherent strain. In this algorithm, not only the mechanical principles of thermal deformations, but also the initial portion of Bainite is considered when calculating inherent strain. Distortion analysis results by these values showed good agreements with experimental results for normalized steels and TMCP steels during welding and heating. This algorithm has also been used to create an inherent strain database of steels in Class rule.

Molybdenum isotopes separation using squared-off optimized cascades

  • Mahdi Aghaie;Valiyollah Ghazanfari
    • Nuclear Engineering and Technology
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    • v.55 no.9
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    • pp.3291-3300
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    • 2023
  • Recently molybdenum alloys have been introduced as accident tolerating materials for cladding of fuel rods. Molybdenum element has seven stable isotopes with different neutron absorption cross section used in various fields, including nuclear physics and radioisotope production. This study presents separation approaches for all intermediate isotopes of molybdenum element by squared-off cascades using a newly developed numerical code with Salp Swarm Algorithm (SSA) optimization algorithm. The parameters of cascade including feed flow rate, feed entry stage, cascade cut, input feed flow rate to gas centrifuges (GCs), and cut of the first stage are optimized to maximize both isotope recovery and cascade capacity. The squared off and squared cascades are studied, and the efficiencies are compared. The results obtained from the optimization showed that for the selected squared off cascade, Mo94 in four separation steps, Mo95 in five steps, Mo96 in six steps, Mo97 in seven steps, and Mo98 in two steps are separated to the desired concentrations. The highest recovery factor is obtained 63% for Mo94 separation and lowest recovery factor is found 45% for Mo95.

FE model updating based on hybrid genetic algorithm and its verification on numerical bridge model

  • Jung, Dae-Sung;Kim, Chul-Young
    • Structural Engineering and Mechanics
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    • v.32 no.5
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    • pp.667-683
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    • 2009
  • FE model-based dynamic analysis has been widely used to predict the dynamic characteristics of civil structures. In a physical point of view, an FE model is unavoidably different from the actual structure as being formulated based on extremely idealized engineering drawings and design data. The conventional model updating methods such as direct method and sensitivity-based parameter estimation are not flexible for model updating of complex and large structures. Thus, it is needed to develop a model updating method applicable to complex structures without restriction. The main objective of this paper is to present the model updating method based on the hybrid genetic algorithm (HGA) by combining the genetic algorithm as global optimization method and modified Nelder-Mead's Simplex method as local optimization method. This FE model updating method using HGA does not need the derivation of derivative function related to parameters and without application of complicated inverse analysis methods. In order to allow its application on diversified and complex structures, a commercial FEA tool is adopted to exploit previously developed element library and analysis algorithms. Moreover, an output-level objective function making use of measurement and analytical results is also presented to update simultaneously the stiffness and mass of the analysis model. The numerical examples demonstrated that the proposed method based on HGA is effective for the updating of the FE model of bridge structures.

Development of Diagnostic Algorithm and Expert System to diagnose Power Transformers by the methods of Gas Analysis (가스분석기법을 이용한 전력용 변압기 내부 이상진단을 위한 진단 알고리즘 및 전문가시스템 개발)

  • 최인혁;정길조;권동진;신명철
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.15 no.5
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    • pp.68-74
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    • 2001
  • This paper describes the new algorithm method for detecting abnormal causes within power transformers. Generally, the gas analysis has been proved the most confident method of many transformer diagnostics. The proposed algorithm is adapted to the international codes of IEC, Dornenburg, Gas Pattern including the DEPCO´s gas analysis method for the improvement of diagnostic efficiency. Specially, this algorithm is programmed by the tool of Element Expert developed Neuron DATA Inc. in USA. Also, it was confirmed that the developed algorithm is proved the confidence by the use of real data in fault power transformers.

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Development of Games for the Advance of the Creativity -Based on Algorithm Elements- (창의성 신장을 위한 놀이 개발 -알고리즘 요소를 중심으로-)

  • Kim, Jung-A;Kim, Jong-Hoon
    • The Journal of the Korea Contents Association
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    • v.9 no.7
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    • pp.390-401
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    • 2009
  • For the reason that computer is the helping-system for complicated processes that we are not simply able to handle, it is needed to be taught and educated in many, and more various, ways. It will be a good way to lead the educatee by explaining basic algorithm and relevant theories in this aspect. And more creative and problem-solving factors have to be studied and applied to the current education system. To arouse interest and attention of the educatee, many efforts to make the concepts and theories that are still difficult to understand to the educatee. I would advise to convert the current algorithm element to interesting game types to get the educatee to be closer in easier and quicker ways. Accordingly, this is to create games reflecting a algorithm element to lead the educatee improve their creativities and problem-solving abilities.

Development of RVE Reconstruction Algorithm for SMC Multiscale Modeling (SMC 복합재료 멀티스케일 모델링을 위한 RVE 재구성 알고리즘 개발)

  • Lim, Hyoung Jun;Choi, Ho-Il;Yoon, Sang Jae;Lim, Sang Won;Choi, Chi Hoon;Yun, Gun Jin
    • Composites Research
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    • v.34 no.1
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    • pp.70-75
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    • 2021
  • This paper presents a novel algorithm to reconstruct meso-scale representative volume elements (RVE), referring to experimentally observed features of Sheet Molding Compound (SMC) composites. Predicting anisotropic mechanical properties of SMC composites is challenging in the multiscale virtual test using finite element (FE) models. To this end, an SMC RVE modeler consisting of a series of image processing techniques, the novel reconstruction algorithm, and a FE mesh generator for the SMC composites are developed. First, micro-CT image processing is conducted to estimate probabilistic distributions of two critical features, such as fiber chip orientation and distribution that are highly related to mechanical performance. Second, a reconstruction algorithm for 3D fiber chip packing is developed in consideration of the overlapping effect between fiber chips. Third, the macro-scale behavior of the SMC is predicted by the multiscale analysis.

Block matching algorithm using quantization (양자화를 이용한 블록 정합 알고리즘에 대한 연구)

  • Lee, Young;Park, Gwi-Tae
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.34S no.2
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    • pp.43-51
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    • 1997
  • In this paper, we quantize the image data to simplify the systolic array architecture for block matching algorithm. As the number of bits for pixel data to be processed is reduced by quantization, one can simplify the hardware of systolic array. Especially, if the bit serial input is used, one can even more simplify the structure of processing element. First, we analize the effect of quantization to a block matching. then we show the structure of quantizer and processing element when bit serial input is used. The simulation results applied to standard images have shown that the proposed block matching method has less prediction error than the conventional high speed algorithm.

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Generating FE Mesh Automatically from STL File Model (STL 파일 모델로부터 유한 요소망 자동 생성)

  • Park, Jung-Min;Kwon, Ki-Youn;Lee, Byung-Chai;Chae, Soo-Won
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.31 no.7 s.262
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    • pp.739-746
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    • 2007
  • Recently, models in STL files are widely used in reverse engineering processes, CAD systems and analysis systems. However the models have poor geometric quality and include only triangles, so the models are not suitable for the finite element analysis. This paper presents a general method that generates finite element mesh from STL file models. Given triangular meshes, the method estimates triangles and makes clusters which consist of triangles. The clusters are merged by some geometric indices. After merging clusters, the method applies plane meshing algorithm, based on domain decomposition method, to each cluster and then the result plane mesh is projected into the original triangular set. Because the algorithm uses general methods to generate plane mesh, we can obtain both tri and quad meshes unlike previous researches. Some mechanical part models are used to show the validity of the proposed method.

Automatic Mesh Generation with Quadrilateral Finite Elements (사각형 유한요소망의 자동생성)

  • 채수원;신보성;민중기
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.17 no.12
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    • pp.2995-3006
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    • 1993
  • An automatic mesh generation scheme has been developed for finite element analysis with two-dimensional, quadrilateral elements. The basic strategies of the method are to transform the analysis domain into loops with key nodes and the loops are recursively subdivided into subloops with the use of best split lines. Finally by using the basic loop operators, the meshes are completed. In this algorithm an eight-node loop operator is proposed, which is useful in the area where the change of element size is large and the splitting criteria for subdividing the loops have also been modified to the existing algorithms. Lines, arcs, and cubic spline curves are used to define the boundaries of analysis domain. Sample meshes for several geometries are presented to demonstrate the robustness of the algorithm.