• Title/Summary/Keyword: 축소화 기법

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대규모 시스팀의 해석 및 제어에 관한 연구동향

  • Kim, Jeong-Ho;Jung, Tae-Jin;Jung, Ha-Jae
    • Electronics and Telecommunications Trends
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    • v.3 no.1
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    • pp.43-52
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    • 1988
  • 대규모 시스팀의 해석 및 제어에 관한 연구동향을 시스팀의 축소화 기법, 안정도 검사, 비집중 제어, 계층적 제어로 기술하고, 이러한 대규모 시스팀의 연구분야로 자동생산 시스팀, 전력계통시스팀, 교통통제 시스팀, 사회공학 시스팀 분야로 분류하고 그 해석 및 제어에 관한 연구동향을 분석함으로써 이와 관련하여 추진되고 있는 연구분야를 소개하였다.

Detecting Structural Anomalies in a BPMN-based Business Process Model using Graph Reduction Techniques (BPMN 기반의 비즈니스 프로세스 모델에서 그래프 축소 기법을 활용한 구조적 이상 현상 검출)

  • Kim, Gun-Woo;Lee, Seung Hoon;Lee, Jeong Hwa;Son, Jin Hyun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2009.04a
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    • pp.479-482
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    • 2009
  • 급변하는 경영 환경에서 기업의 목표나 정책목적을 실현하기 위해 많은 기업들이 비즈니스 프로세스의 중요성을 인식하게 되면서 비즈니스 프로세스 관리에 대한 관심이 높아졌다. 이러한 비즈니스 프로세스를 관리하기 위해 일반적으로 모델링 작업을 수행하게 되는데 모델링 작업 시 예기치 못한 여러 가지 이상 현상을 포함 될 수 있다. 본 논문에서는 본 연구자가 발표한 선행 논문을 바탕으로 기존의 이상 현상 검출 기법 중 그래프 축소 기법을 확장하여 모델링 단계에서 정의된 비즈니스 프로세스 모델의 구조적 이상 현상을 검출하고 명제 논리학을 이용하여 이의 타당성을 증명하였다.

On the Use of Modal Derivatives for Reduced Order Modeling of a Geometrically Nonlinear Beam (모드 미분을 이용한 기하비선형 보의 축소 모델)

  • Jeong, Yong-Min;Kim, Jun-Sik
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.30 no.4
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    • pp.329-334
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    • 2017
  • The structures, which are made up with the huge number of degrees-of-freedom and the assembly of substructures, have a great complexity. In order to increase the computational efficiency, the analysis models have to be simplified. Many substructuring techniques have been developed to simplify large-scale engineering problems. The techniques are very powerful for solving nonlinear problems which require many iterative calculations. In this paper, a modal derivatives-based model order reduction method, which is able to capture the stretching-bending coupling behavior in geometrically nonlinear systems, is adopted and investigated for its performance evaluation. The quadratic terms in nonlinear beam theory, such as Green-Lagrange strains, can be explained by the modal derivatives. They can be obtained by taking the modal directional derivatives of eigenmodes and form the second order terms of modal reduction basis. The method proposed is then applied to a co-rotational finite element formulation that is well-suited for geometrically nonlinear problems. Numerical results reveal that the end-shortening effect is very important, in which a conventional modal reduction method does not work unless the full model is used. It is demonstrated that the modal derivative approach yields the best compromised result and is very promising for substructuring large-scale geometrically nonlinear problems.

A Compensation Scheme of Frequency Selective IQ Mismatch for Radar Systems (레이더 시스템을 위한 주파수 선택적 IQ 불일치 보상 기법)

  • Ryu, Yeongbin;Heo, Je;Son, Jaehyun;Choi, Mungak;Oh, Hyukjun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.4
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    • pp.565-571
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    • 2021
  • In this paper, a compensation scheme of frequency selective IQ mismatch for high-performance radar systems based on commercial RFIC's is proposed. Besides, an optimization model and its solution based on the dimension reduction scheme using singular value decomposition are also proposed to design the optimal IQ mismatch compensation digital filter with complex coefficients. The performance of the proposed method had been analyzed through experiments using the IQ mismatch measurement and compensation system implemented on an FPGA board with a target RFIC and compared with the previous method. The experiment result showed a performance improvement of the proposed method over the existing one without noticeable increments in complexities. These performance analysis results showed that the limitation of using commercial RFIC's in high-performance radar systems due to the undesirable maximum SNR cap caused by their IQ mismatches could be overcome by employing the proposed method.

A Study on Downscaling of GCM output using Artificail Neural Network in Soyang River Basin (인공신경망 모델을 이용한 소양강 유역의 GCM 모의결과 상세화 기법에 대한 연구)

  • Lee, Kyoung-Joo;Sung, Kyung-Min;Kim, Soo-Young;Heo, Jun-Haeng
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.847-850
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    • 2010
  • 최근 많은 수문학자들은 전지구적 기후변화로 인한 피해 예방과 저감을 위해 기후변화가 수문학적으로 어떤 영향을 미치고 있는지 알기 위해 많은 연구를 진행하고 있으며, 기후변화시나리오를 작성하고자 이산화탄소 배출농도를 가정하여 다양한 시나리오를 생성하고 있다. 본 연구에서는 효율적인 수자원 관리를 위해 저해상도의 GCM(General Circulation Models) 모형에서 생성되는 모의결과를 유역 규모의 단위로 스케일 상세화 기법(downscaling)을 적용 시켜 보고자 한다. 이를 위해 2007년 IPCC AR4와 함께 제시된 SRES A1B 시나리오를 채택하여 우리나라 기상청이 연구에 참여 제공하고 있는 EHCO-G 모델의 모의결과를 이용하여 소양강 유역에 적용하였다. 상세화 기법으로는 현재와 과거의 입력값들과 이에 대응된 출력값들을 알고 있는 경우에 미래의 새로운 입력값들에 대한 예측값들을 추출하는데 유용하며, 비선형적 비연속적인 특성이 강한 모델에 강점을 가지고 있는 인공신경망(Artificial Neural Network) 모델을 사용하고자 한다.

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Experimental Techniques of Small-Scale Models for Reinforced Concrete Structural Researches (철근콘크리트구조 연구를 위한 소축적 구조모형실험기법)

  • Kim, Woo;Kim, Dae-Joong;Kang, Sung-Hoo
    • Magazine of the Korea Concrete Institute
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    • v.3 no.4
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    • pp.133-142
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    • 1991
  • When the behavior of a prototype concrete structure is studied through small-scale model experiments, it is necessary to reproduce all significant physical characteristics on either an one-to-one basis or a specific similitude relationship. Any distortion of similitude must be understood and its effect must be predictable. This paper focuses on improved physical modeling techniques for small-scale reinforced concrete structures. Particular emphasis is placed on the development of a model concrete mix to accurately model the important properties of full-scale prototype concrete. Four types of model reinforcement with different bond characteristics are also studied by testing twenty simple beams. The information obtained will be of immediate use to engineers contemplating small-scale modeling of reinforced concrete structures.

Dimension Reduction Method of Speech Feature Vector for Real-Time Adaptation of Voice Activity Detection (음성구간 검출기의 실시간 적응화를 위한 음성 특징벡터의 차원 축소 방법)

  • Park Jin-Young;Lee Kwang-Seok;Hur Kang-In
    • Journal of the Institute of Convergence Signal Processing
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    • v.7 no.3
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    • pp.116-121
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    • 2006
  • In this paper, we propose the dimension reduction method of multi-dimension speech feature vector for real-time adaptation procedure in various noisy environments. This method which reduces dimensions non-linearly to map the likelihood of speech feature vector and noise feature vector. The LRT(Likelihood Ratio Test) is used for classifying speech and non-speech. The results of implementation are similar to multi-dimensional speech feature vector. The results of speech recognition implementation of detected speech data are also similar to multi-dimensional(10-order dimensional MFCC(Mel-Frequency Cepstral Coefficient)) speech feature vector.

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Multilevel Homogenization-Based Framework for Effective Analysis of Structures with Complex Regularity (복합 규칙성을 가진 구조물의 효과적인 해석을 위한 다단계 균질화기반 해석 프레임워크)

  • Youngjae Jeon;Wanjae Jang;Seongmin Chang
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.36 no.1
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    • pp.19-26
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    • 2023
  • Because of the development of computational resources, an entire structure in which many components are combined can be analyzed. To do so, the calculation time and number of data points are increased. In many practical industry structures, there are many parts with repeated patterns. To analyze the repetitive structures effectively, a homogenization method is usually employed. In a homogenization module, including commercial programs, it is generally assumed that a unit cell is repeated in all directions. However, the practical industry structures usually have complicated, repeated patterns or structures. Complicated patterns are difficult to address using the conventional homogenization method. Therefore, in this study, a multilevel homogenization method was devised to consider complex regularities. The proposed homogenization method divides the structure into several areas and performs multiple homogenizations, resulting in a more accurate analysis than that provided by the previous method.

Minimum Spanning Tree Algorithm for Deletion of Maximum Weight Edge within a Cycle (한 사이클 내에서 최대 가중치 간선을 제거하기 위한 최소 신장트리 알고리즘)

  • Choi, Myeong-Bok;Han, Tae-Yong;Lee, Sang-Un
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.2
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    • pp.35-42
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    • 2014
  • This paper suggests a method that obtains the minimum spanning tree (MST) far more easily and rapidly than the present ones. The suggested algorithm, firstly, simplifies a graph by means of reducing the number of edges of the graph. To achieve this, it applies a method of eliminating the maximum weight edge if the valency of vertices of the graph is equal to or more than 3. As a result of this step, we can obtain the reduced edge population. Next, it applies a method in which the maximum weight edge is eliminated within the cycle. On applying the suggested population minimizing and maximum weight edge deletion algorithms to 9 various graphs, as many as the number of cycles of the graph is executed and MST is easily obtained. It turns out to lessen 66% of the number of cycles and obtain the MST in at least 2 and at most 8 cycles by only deleting the maximum weight edges.

A Study on Stress Recovery Analysis of Dimensionally Reducible Composite Beam Structure with High Aspect Ratio using VABS (VABS를 이용한 높은 세장비를 가진 복합재료 보 구조의 차원축소 및 응력복원 해석기법에 대한 연구)

  • Ahn, Sang Ho
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.29 no.5
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    • pp.405-411
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    • 2016
  • This paper presented the theory related to a two dimensional linear cross-sectional analysis, recovery relationship and a one-dimensional nonlinear beam analysis for composite beam with initial twist and high aspect ratio. Using VABS including related theory, preceding research data of the composite wing structure has been modeled and compared. Cross-sectional analysis was performed and 1-D beam was modeled at cutting point including all the details of real geometry and material. The 3-D strain distribution and margin of safety at recovery point was calculated based on the global behavior of the 1-D beam analysis and visualize numerical results.