• 한국터널지하공간학회 논문집
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• 제12권3호
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• pp.223-237
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• 2010

본 연구에서는 화재에 의한 콘크리트의 단면손실과 역학적 특성을 저하하는 주요 요인 가운데 온도증가율, 즉 초기가열구배를 변화시키면서 모의화재실험을 수행하였다. 그리고 수행된 모의화재실험에서 관찰된 단면손실을 모사하기 위하여 요소제거모델을 활용한 유한요소해석법에 의해 열전달해석을 수행하였다. 이때 모의화재실험결과와 수치해석결과가 가장 일치하는 대류열전달계수를 반복적인 해석과정을 통해 도출하였다 이상의 과정으로부터 얻어진 초기가열구배에 따른 대류열전달계수의 변화를 조사한 결과, 각 초기가열구배별 대류열전달계수의 변화는 분수함수 형태로 근사시킬 수 있었다. 최종적으로 모의화재실험으로부터 도출된 초기가열구배별 대류열전달계수의 변화 결과를 내삽하여 다양한 초기가열구배에 따른 화재경과시간별 대류열전달계수의 변화를 추정할 수 있는 수식을 함께 제시하였다.

• Structural Engineering and Mechanics
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• 제22권3호
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• pp.371-399
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• 2006

The theoretical background and capabilities of the developed program, SAR-CWF, for stochastic analysis of 3D reinforced-concrete shear wall-frame structures subject to seismic excitations is presented. Incremental stiffness and strength properties of system members are modeled by extended Roufaiel-Meyer hysteretic relation for bending while shear deformations for walls by Origin-Oriented hysteretic model. For the critical height of shear-walls, division to sub-elements is performed. Different yield capacities with respect to positive and negative bending, finite extensions of plastic hinges and P-${\delta}$ effects are considered while strength deterioration is controlled by accumulated hysteretic energy. Simulated strong motions are obtained from a Gaussian white-noise filtered through Kanai-Tajimi filter. Dynamic equations of motion for the system are formed according to constitutive and compatibility relations and then inserted into equivalent It$\hat{o}$-Stratonovich stochastic differential equations. A system reduction scheme based on the series expansion of eigen-modes of the undamaged structure is implemented. Time histories of seismic response statistics are obtained by utilizing the computer programs developed for different types of structures.

• Steel and Composite Structures
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• 제24권2호
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• pp.151-176
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• 2017

This paper deals with general equations of motion for free vibration analysis response of thick three-layer doubly curved sandwich panels (DCSP) under simply supported boundary conditions (BCs) using higher order shear deformation theory. In this model, the face sheets are orthotropic laminated composite that follow the first order shear deformation theory (FSDT) based on Rissners-Mindlin (RM) kinematics field. The core is made of orthotropic material and its in-plane transverse displacements are modeled using the third order of the Taylor's series extension. It provides the potentiality for considering both compressible and incompressible cores. To find these equations and boundary conditions, Hamilton's principle is used. Also, the effect of trapezoidal shape factor for cross-section of curved panel element ($1{\pm}z/R$) is considered. The natural frequency parameters of DCSP are obtained using Galerkin Method. Convergence studies are performed with the appropriate formulas in general form for three-layer sandwich plate, cylindrical and spherical shells (both deep and shallow). The influences of core stiffness, ratio of core to face sheets thickness and radii of curvatures are investigated. Finally, for the first time, an optimum range for the core to face sheet stiffness ratio by considering the existence of in-plane stress which significantly affects the natural frequencies of DCSP are presented.

• The Journal of Asian Finance, Economics and Business
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• 제8권9호
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• pp.1-9
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• 2021

This study aimed to investigate the existence of the Feldstein-Horioka (1980) puzzle in international macroeconomics by applying the conditional Autoregressive Distributed Lag (ARDL) model to examine the long-run relationship between national savings and investments in Thailand and China. The input of this study relied on annual national savings and investments as a fraction of GDP during 1980-2019 which was collected from China National Bureau of Statistics (NBS) and Thailand National Economic and Social Development Council (NESDC). Hypothetically, Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) unit root tests were applied to test the stationary properties and to investigate the integration level of selected time series. The empirical results, confirmed by cumulative sum (CUSUM) and cumulative sum square (CUSUMSQ), maintained no serial correlation and structural break problems. The finding of this study suggested that the Feldstein-Horioka puzzle in Thailand did not exist significantly. Thailand's national savings and investments nexus was independent, following the classic economic idea that financial liberalization, or perfect capital mobility, allowed national savings and investments to flow freely to countries with better interest rates. Whereas, a strong significant correlation was found in the case of China during the fixed exchange rate regime switching in 1994 and post WTO participation after 2001-2019.

• Journal of Electrical Engineering and Technology
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• 제6권6호
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• pp.853-866
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• 2011

We propose a multi-objective space search algorithm (MSSA) and introduce the identification of fuzzy inference systems based on the MSSA and information granulation (IG). The MSSA is a multi-objective optimization algorithm whose search method is associated with the analysis of the solution space. The multi-objective mechanism of MSSA is realized using a non-dominated sorting-based multi-objective strategy. In the identification of the fuzzy inference system, the MSSA is exploited to carry out parametric optimization of the fuzzy model and to achieve its structural optimization. The granulation of information is attained using the C-Means clustering algorithm. The overall optimization of fuzzy inference systems comes in the form of two identification mechanisms: structure identification (such as the number of input variables to be used, a specific subset of input variables, the number of membership functions, and the polynomial type) and parameter identification (viz. the apexes of membership function). The structure identification is developed by the MSSA and C-Means, whereas the parameter identification is realized via the MSSA and least squares method. The evaluation of the performance of the proposed model was conducted using three representative numerical examples such as gas furnace, NOx emission process data, and Mackey-Glass time series. The proposed model was also compared with the quality of some "conventional" fuzzy models encountered in the literature.

• Bulletin of the Korean Chemical Society
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• 제35권7호
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• pp.1944-1950
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• 2014

Employment of a time consuming, sophisticated calculation using the all-atom force field and generalized-Born implicit solvent model (GBIS) for refinement of NMR structures has become practical through advances in computational methods and capacities. GBIS refinement improves the qualities of the resulting NMR structures with reduced computational times. However, the contribution of GBIS to NMR structures has not been sufficiently studied in a quantitative way. In this paper, we report the effects of GBIS on the refined NMR structures of ubiquitin (UBQ) and GB1 with subsets of distance restraints derived from experimental data. Random omission prepared a series of distance restraints 0.05, 0.1, 0.3, 0.5, and 0.7 times smaller. For each number, we produced five different restraints for statistical analysis. We then recalculated the NMR structures using CYANA software, followed by GBIS refinements using the AMBER package. GBIS improved both the precision and accuracy of all the structures, but to varied levels. The degrees of improvement were significant when the input restraints were insufficient. In particular, GBIS enabled GB1 to form an accurate structure even with distance restraints of 5%, revealing that the root-mean-square deviation was less than 1 ${\AA}$ from the X-ray backbone structure. We also showed that the efficiency of searching the conformational space was more important for finding accurate structures with the calculation of UBQ with 5% distance restraints than the number of conformations generated. Our data will provide a meaningful guideline to judge and compare the structural improvements by GBIS.

• 대한전기학회논문지:시스템및제어부문D
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• 제55권6호
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• pp.264-273
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• 2006

In this paper, we propose a new architecture of Self-Organizing Fuzzy Polynomial Neural Networks (SOFPNN) by means of consecutive optimization and also discuss its comprehensive design methodology involving mechanisms of genetic optimization. The network is based on a structurally as well as parametrically optimized fuzzy polynomial neurons (FPNs) conducted with the aid of information granulation and genetic algorithms. In structurally identification of FPN, the design procedure applied in the construction of each layer of a SOFPNN deals with its structural optimization involving the selection of preferred nodes (or FPNs) with specific local characteristics and addresses specific aspects of parametric optimization. In addition, the fuzzy rules used in the networks exploit the notion of information granules defined over system's variables and formed through the process of information granulation. That is, we determine the initial location (apexes) of membership functions and initial values of polynomial function being used in the premised and consequence part of the fuzzy rules respectively. This granulation is realized with the aid of the hard c-menas clustering method (HCM). For the parametric identification, we obtained the effective model that the axes of MFs are identified by GA to reflect characteristic of given data. Especially, the genetically dynamic search method is introduced in the identification of parameter. It helps lead to rapidly optimal convergence over a limited region or a boundary condition. To evaluate the performance of the proposed model, the model is experimented with using two time series data(gas furnace process, nonlinear system data, and NOx process data).

• 한국사회복지학
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• 제58권4호
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• pp.313-339
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• 2006

본 연구는 우리나라에서 근로빈곤을 발생 확대시키는 사회구조적 요인들을 실증하고자 하는 것이 연구목적이다. 1982년부터 2004년까지의 통계청 <도시가계조사> 원자료를 활용했고, 거시경제 환경, 노동시장, 분배제도 등 사회구조적 요인들에 대한 시계열 자료를 이용한 다중회귀분석을 실시했다. 성장론자들의 주장과는 달리 경제성장은 근로빈곤층 규모 변화에 정적인 영향을 미치는 것으로 나타났고, 성장기에는 경제성장의 낙리효과(trickle down effect)가 존재하나 포드주의 이후에는 단절된 것으로 확인됐다. 사회복지지출은 근로빈곤을 완화하는데 효과가 없었다. 최근 미국식 자본주의 모델을 도입한 결과 소득분배가 악화되고 고용의 질이 후퇴하고 근로빈곤이 확대돼 왔고, 제도 간 비정합성이 표출돼 사회경제적 지속성에 의문이 제기되고 있는 만큼, 한국형 사회적 시장경제모델로의 전환을 모색해 안정적이고 지속가능한 모델을 구현해야 한다.

• 한국구조물진단유지관리공학회 논문집
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• 제8권2호
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• pp.195-204
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• 2004

본 연구에서는 약액주입 사질고결토에 대해 일정재하크리프시험과 반복재하크리프시험을 실시하여 점 탄소성 거동 규명과 크리프예측을 수행하였다. 일정재하크리프 시험결과 총 변형률은 탄성, 소성 그리고 점탄성변형률로 구분되었으며 이러한 변형률은 응력의 증가에 비례하여 증가하였고 회복된 변형률은 제하시간에 무관함을 알았다. 일정재하크리프시험 예측결과 일반화된 모델과 지수함수모델은 시험결과와 잘 일치하였다. 반복재하크리프시험에서 순간회복변형률은 반복횟수에 무관하였고 누적소성 변형률은 반복횟수에 따라 증가하였으며 응력레벨에 비례함을 알 수 있었다. 반복재하크리프시험의 예측결과 첫 사이클에서는 잘 일치하였으나 반복횟수가 증가함에 따라 약간의 오차가 발생되었다.

• 정보관리학회지
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• 제37권2호
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• pp.311-331
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• 2020

본 연구의 목적은 디지털 인문학 분야의 국내외 주요 연구의 동향을 살펴보고 비교 분석하는 데 있다. 기존의 디지털 인문학 동향에 관한 연구들은 해외의 주요 연구사례와 국가정책, 발전 방향 등을 검토하는 연구들로, 디지틸 인문학 분야의 세부 연구주제 및 하위 분야를 파악하는 것과는 거리가 있었다. 본 연구에서는 국내외 학술 문헌의 계량서지적 분석을 통해 디지털 인문학 분야의 지적 구조를 살펴보고자 한다. 이를 위해 Web of Science와 RISS로부터 2020년 3월까지 출판된 디지털 인문학 관련 국내외 학술 문헌을 수집하여 분석에 사용하였다. 이 자료들을 대상으로 구조적 토픽모델을 적용하여 세부 주제들을 살펴보았으며, 이 주제들의 시계열적 추이를 파악하였다. 분석결과, 국내외 공통적으로 인문학 기반의 융합 연구들이 수행되었으며, 주로 사료의 디지털화가 주된 연구의 관심사였다. 국내는 문화콘텐츠와 스토리텔링 관련된 연구주제가 두드러지게 나타났으며, 해외는 디지털화된 자료의 제공 측면에서 문헌정보학 관련 주제들이 주목을 받는 것으로 나타났다. 이를 통해 국내의 디지털 인문학 분야의 연구 공백을 파악하고 연구주제 확장이 가능한 영역들을 제안하였다.