• Title/Summary/Keyword: 선형구조분석

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The Effect of Controlling Shareholders md Related-Party Transactions on Firm Value (대주주 소유구조 및 연계거래 여부가 기업가치에 미치는 영향에 관한 실증연구)

  • Lee, Won-Heum
    • The Korean Journal of Financial Management
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    • v.23 no.1
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    • pp.69-100
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    • 2006
  • We examine the effect of controlling shareholders ownership structure and related-party transactions(hereafter 'RPT') of publicly traded companies on their firm values during the post-IMF period. In the multivariate regression analysis using control variables such as firm size, capital structure, investment, dividend, profitability and industry dummy that might affect firm values, we find that there exists a significant negative relation between the controlling shareholders ownership structure and firm values proxied by Tobin's Q, and also find that there is a significant negative relation between RPT and the firm values. Those evidences seem to support the controlling shareholders' expropriation hypothesis. Additionally, we investigate the relation between ownership structure and rim value through the piecewise regression analysis. We find a significant 'inverse' U-shape pattern between the controlling shareholders ownership structure and firm values. This result is quite different from the existing literatures that have usually reported an U-shape pattern. In conclusion, the findings in this study do not support the notion that the ownership concentration to the controlling shareholders does negatively affect the firm values monotonically.

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Finite Difference Nonlinear Analysis of Composite Plate Structures with Various Layer Sequences (다양한 적층 배열을 갖는 복합 신소재 판 구조물의 유한차분 비선형 해석)

  • Lee, Sang Bum;Lee, Sang Youl;Lee, Rae Chul
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.9 no.4
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    • pp.159-168
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    • 2005
  • This study carries out a finite difference nonlinear analysis of anisotropic advanced composite plate structures with various layer sequences. In the numerical analysis of various mechanical problems involving complex partial differential equations, the finite difference method (FDM) developed in this study has an advantage over the finite element method in its ability to avoid mesh generation and numerical integration. Many studies in FDM have been made on clamped or simple boundary conditions using merely an energy approach. These approaches cannot be satisfied, however, with pivotal points along the free boundary. Therefore, this study addresses the nonlinear problem of anisotropic plates by adopting a finite difference modeling elimination of pivotal difference points in the case of a free boundary condition. Complex nonlinear behaviors of composite plate structures for various parameters, especially for layer sequences, are analyzed using the proposed approach.

Discrete Optimization of Unsymmetric Composite Laminates Using Linear Aproximation Method (선형 근사화방법을 이용한 비대칭 복합 적층평판의 이산최적화)

  • 이상근;구봉근;한상훈
    • Computational Structural Engineering
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    • v.10 no.2
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    • pp.255-263
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    • 1997
  • The optimum design of most structural systems used in practice requires considering design variables as discrete quantities. The present paper shows that the linear approximation method is very effective as a tool for the discrete optimum designs of unsymmetric composite laminates. The formulated design problem is subjected to a multiple in-plane loading condition due to shear and axial forces, bending and twisting moments, which is controlled by maximum strain criterion for each of the plys of a composite laminate. As an initial approach, the process of continuous variable optimization by FDM is required only once in operating discrete optimization. The nonlinear discrete optimization problem that has the discrete and continuous variables is transformed into the mixed integer programming problem by SLDP. In numerical examples, the discrete optimum solutions for the unsymmetric composite laminates consisted of six plys according to rotated stacking sequence were found, and then compared the results with the nonlinear branch and bound method to verify the efficiency of present method.

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The Prediction of Currency Crises through Artificial Neural Network (인공신경망을 이용한 경제 위기 예측)

  • Lee, Hyoung Yong;Park, Jung Min
    • Journal of Intelligence and Information Systems
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    • v.22 no.4
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    • pp.19-43
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    • 2016
  • This study examines the causes of the Asian exchange rate crisis and compares it to the European Monetary System crisis. In 1997, emerging countries in Asia experienced financial crises. Previously in 1992, currencies in the European Monetary System had undergone the same experience. This was followed by Mexico in 1994. The objective of this paper lies in the generation of useful insights from these crises. This research presents a comparison of South Korea, United Kingdom and Mexico, and then compares three different models for prediction. Previous studies of economic crisis focused largely on the manual construction of causal models using linear techniques. However, the weakness of such models stems from the prevalence of nonlinear factors in reality. This paper uses a structural equation model to analyze the causes, followed by a neural network model to circumvent the linear model's weaknesses. The models are examined in the context of predicting exchange rates In this paper, data were quarterly ones, and Consumer Price Index, Gross Domestic Product, Interest Rate, Stock Index, Current Account, Foreign Reserves were independent variables for the prediction. However, time periods of each country's data are different. Lisrel is an emerging method and as such requires a fresh approach to financial crisis prediction model design, along with the flexibility to accommodate unexpected change. This paper indicates the neural network model has the greater prediction performance in Korea, Mexico, and United Kingdom. However, in Korea, the multiple regression shows the better performance. In Mexico, the multiple regression is almost indifferent to the Lisrel. Although Lisrel doesn't show the significant performance, the refined model is expected to show the better result. The structural model in this paper should contain the psychological factor and other invisible areas in the future work. The reason of the low hit ratio is that the alternative model in this paper uses only the financial market data. Thus, we cannot consider the other important part. Korea's hit ratio is lower than that of United Kingdom. So, there must be the other construct that affects the financial market. So does Mexico. However, the United Kingdom's financial market is more influenced and explained by the financial factors than Korea and Mexico.

Study on the Evaluation Method of Load Carrying Capacity Based on Nonlinear FEM Analysis for PSC I Typed Girder Bridge (비선형 FEM 해석에 기초한 PSC I 거더교량의 내하력 평가기법에 관한 연구)

  • Sim, Jongsung;Kim, Gyu-Seon;Moon, Do-Young;Ju, Minkwan
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.12 no.6
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    • pp.81-88
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    • 2008
  • The purpose of this study is to improve and modify the evaluation method of load carrying capacity for simply supported PSC I Typed girder bridge. To do this, conventional ASD(Allowable Stress Design) and USD(Ultimate Strength Design) evaluation method were initially investigated and it was evaluated that the conventional USD evaluation method may perform the load carrying capacity as conservative because it do not consider the prestressing upper-force effect of simply supported PSC I Typed girder bridge. To reasonably evaluate the load carrying capacity, the upper-force effect should be considered to the PSC I Typed girder bridge. Thus, in this study, the MUSD method was Suggested and compared to the nonlinear FEM based-load carrying capacity using the live load factor and the efficiency of the evaluation method of load carrying capacity was investigated by experimental and analytical result. In the result of this study, the suggested MUSD evaluation method showed a reasonable evaluating result for the simply supported PSC bridge. For the new technique of load carrying capacity based on the nonlinear FEM analysis, it could effectively simulate the load-deflection relationship and the load carrying capacity of the PSC I Typed girder bridge.

프로펠러 보호터널 부착 연안어선 개발에 관한 연구

  • 고재용
    • Journal of Korea Ship Safrty Technology Authority
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    • v.17
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    • pp.24-43
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    • 2005
  • 최근 우리나라 어선어업은 한중일 어업협정, 연안 어업자원 감소 및 연안오염 등 사회적, 환경적 변화가 급변하고 있어 이들을 고려한 어선 선형개발이 필요로 한다. 현재 우리나라의 어선 중 연안지역에서 조업하는 5톤 미만의 소형어선은 전체 어선 중 $65\%$ 이상으로 구성되어 있으나 선박의 크기가 작고 부가가치가 낮은 관계로 지금까지 전문적인 연구는 거의 없었던 것이 현실이다. 한편, 서$\cdot$남해 연안에서 작업 및 항해하는 연안어선들의 해양사고 발생율은 전체사고의 $69.6\%$로 매년 증가하고 있는 추세이다. 전체 어선 안전사고 중 부유폐어망, 로프 등이 추진기에 감긴 사고는 전체 사고의 $10.4\%$로 매년 증가하고 있다. 이에, 추진기 손상에 의한 어선 사고와 연관하여 추진기를 보호하기 위한 장치로서 물분사 추진기(Water-Jet), 펌프제트(Pump-Jet)장치들이 있으나 이들은 고가 수입품으로서 영세한 어민들의 소형어선에 장착하기에는 한계가 있어, 본 연구에서는 폐그물, 로프 등 해상 부유물에 의한 추진기 손상이 발생되지 않는 프로펠러 보호터널 부착 추진장치를 개발을 목적으로 한다. 프로펠러 부착 추진장치는 기존 선미를 수정하여 추진기를 선체 안쪽으로 배치하며 돌출되는 부분은 덕트로 보호하고 있으며 이러한 추진기는 워터제트 추진기와는 달리 가격이 싸고 그물이나 부유물에 걸리지 않고 고장 시 신속한 대응이 쉬워 소형 연안어선에 적합할 뿐만 아니라 그물, 부유물, 갯벌이 많은 국내의 서$\cdot$남해 연안에서 작업 및 항해 시 매우 유용할 것으로 판단된다. 본 연구는 `프로펠러 보호터널 부착 연안어선의 선형개발`을 최종목표로 수행하였으며, 연구개발 내용은 기존 소형 연안어선의 분류 및 특성 조사 연구, 프로펠러 보호터널형 선미 선형 개발, 기존 선형 및 보호터널형 선형의 모형시험, 개발선의 구조강도 특성, 프로펠러 설계 및 단독시험, 보호터널 부착 추진기의 효율 검증 및 개발 대상 어선의 조선공학적 제 계산, 설계도작성 등을 실시하였다. 주요 요소 기술로서는 프로펠러 보호터널 부착 선형의 모형시험을 통하여 선미선형을 개발하며 FRP판부재의 구조강도 특성을 분석하고 그 결과를 활용하여 4톤급 연안어선의 시제선을 건조하고 시운전을 통하여 주요성능을 확인하였다.

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Evaluation of the Seismic Performance for Domestic URM Buildings Using Nonlinear Dynamic Analysis (비선형 동적해석을 통한 국내 비보강 조적조 건축물의 내진성능 평가)

  • Baek, Eun-Rim;Kim, Jung-Hyun;Lee, Sang-Ho
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.20 no.3
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    • pp.83-92
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    • 2016
  • The purpose of this study is to evaluate the seismic performance of domestic unreinforced masonry(URM) buildings using nonlinear dynamic analysis. For that, the nonlinear hysteresis models suggested in the previous research were validated for the dynamic analysis. The results of the shaking table test were compared with the dynamic analysis results using the suggested nonlinear hysteresis models. As a result, the nonlinear hysteresis models were expected to be applicable to the dynamic analysis of URM buildings. Based on the models, the dynamic analysis of domestic URM buildings varying the number of stories and opening ratio was carried out. The analysis results showed that most of the domestic URM buildings were very vulnerable to design earthquake in Korea.

Structural Safety Evaluation of Basic Design Model of Linear Actuator for Blade Pitch Control of eVTOL Aircraft (eVTOL 항공기 블레이드 피치 제어용 선형 구동기 기본설계 모델의 구조 안전성 평가)

  • Young-Cheol, Kim;Dong-Hyeop, Kim;Sang-Woo, Kim;Jeong-Hyun, Kang;Dohyung, Kim
    • Journal of Aerospace System Engineering
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    • v.16 no.6
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    • pp.106-113
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    • 2022
  • The structural safety of the basic design model of the linear actuator for the individual blade pitch control of eVTOL personal aircraft was investigated. Stress analysis based on the finite element method was conducted, and the margin of safety was calculated to examine the structural safety under stall load conditions. Additionally, fatigue analysis was conducted to evaluate the fatigue life of the linear actuators under operating conditions. The load history with the blade pitch angle was calculated using multi-body dynamics analysis, and the static load analysis was used to obtain the stress distribution for the rated load. As a result, it was confirmed that the safety margins exceeded zero, and the fatigue lives of all linear actuator components exceeded 107 cycles, indicating a safe structural range.

순환신경망모형을 이용한 단기 시계열예측

  • 윤여창
    • Communications for Statistical Applications and Methods
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    • v.5 no.3
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    • pp.599-605
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    • 1998
  • 본 연구에서는 단순구조 순환신경망을 이용한 신경망예측과 전통적인 시계열예측 방법을 이용하여, 순환변동이 있는 시계열자료의 단기예측 오차를 비교한다. 순환신경망모형의 입력자료를 변화시키는 개선된 학습방법을 적용하여 시계열자료를 학습하고, 신경망예측의 결과는 선형 AR(9)모형, 비선형 SETAR모형 그리고 이들의 결합모형을 이용한 예측결과와 비교한다. 실증분석에 적용된 시계열자료는 1700년부터 1987년 까지의 태양흑점 자료이며 예측에 이용된 검정자료는 1980년부터 8년 간의 자료이다.

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Prediction for Time Series Panel Data using Neural Network (신경망을 이용한 시계열 패널자료의 예측)

  • Kim, In-Kyu
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2012.01a
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    • pp.263-264
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    • 2012
  • 본 논문은 여러 개의 독립적인 시계열로 구성된 시계열 패널 자료를 이용하여 비선형 모형인 GRCA모형과 신경망을 이용하여 예측값을 구하여 서로 비교 분석하고자 한다. 먼저 GRCA모형에 대하여 연구하고 신경망의 구조와 예측값을 구하기 위한 여러 가지 변환함수를 유도한다. 단기 예측에서는 신경망 방법의 예측값이 더 좋았고, 장기예측에서는 비선형모형을 이용한 예측값이 더 좋은 것으로 나타났다.

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