• 제목/요약/키워드: Local linear model

검색결과 347건 처리시간 0.038초

혼합정수 계획법을 이용한 전략적 입지선정 -자동차 SCM을 중심으로- (Design of Mixed Integer Linear Programming Model for Strategic Location Decision -Focused on the Automotive Industry SCM-)

  • 하영규;우수한
    • 무역학회지
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    • 제46권2호
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    • pp.213-228
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    • 2021
  • In recent year, US government requires local investment ,unlike in the past, when import restrictions and tariff were imposed. In this situation, many companies are considering new investment in the US and entering the local market. However, research on the optimal investment plan along with the case analysis on trade regulation is extremely limited and more research needs to be conducted. Accordingly, this study aims to suggest the implications and countermeasure of the SCM and logistical perspective by studying the optimal measures for the new investment of each company due to trade regulation. As a research method, the gravity location model, Mixed Integer Linear Programming Model were used to select the optimal automobile manufacturing factory considering each state's population. This study will be implication of SCM and logistics perspective not only for companies considering new investment in the US but also for the government to conduct trade negotiations. In the future, it is expected that the US trade pressure will increase and affect Korea in many ways. Therefore, in order to cope with such difficult situation in a timely manner, continuous research considering various possibilities is needed in the future.

Hysteretic Behavior of RHS Columns Under Random Cyclic Loading Considering Local Buckling

  • Yamada, Satoshi;Ishida, Takanori;Jiao, Yu
    • 국제강구조저널
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    • 제18권5호
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    • pp.1761-1771
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    • 2018
  • In this paper, a hysteretic model of rectangular hollow section (RHS) columns that includes the deteriorating range caused by local buckling is proposed. The proposed model consists of the skeleton curve, the Bauschinger part that appears before reaching the maximum strength, the strength increasing part of the deteriorating range, and the unloading part. Of these, the skeleton curve, including the deterioration range caused by local buckling, which is considered to be equivalent to the load-deformation relationship under monotonic loading, is obtained through an analytical method. Bi-linear hysteretic models based on experimental results are applied to the Bauschinger part and the strength increasing part. The elastic stiffness is applied to the unloading part. The proposed model is verified by comparing with experimental results of RHS columns under monotonic and cyclic loading.

기호 비선형 방정식의 해석적 선형화 (Analytic Linearization of Symbolic Nonlinear Equations)

  • 송성재;문홍기
    • 한국정밀공학회지
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    • 제12권6호
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    • pp.145-151
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    • 1995
  • The first-order Taylor series expansion can be evaluated analytically from the formulated symbolic nonlinear dynamic equations. A closed-form linear dynamic euation is derived about a nominal trajectory. The state space representation of the linearized dynamics can be derived easily from the closed-form linear dynamic equations. But manual symbolic expansion of dynamic equations and linearization is tedious, time-consuming and error-prone. So it is desirable to manipulate the procedures using a computer. In this paper, the analytic linearization is performed using the symbolic language MATHEMATICA. Two examples are given to illustrate the approach anbd to compare nonlinear model with linear model.

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선형보간법에 의한 자료 희소성 해결방안의 문제와 대안 (Robust Interpolation Method for Adapting to Sparse Design in Nonparametric Regression)

  • 박동련
    • 응용통계연구
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    • 제20권3호
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    • pp.561-571
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    • 2007
  • 국소선형회귀모형의 추정량은 좋은 특성을 가지고 있는 추정량으로서 가장 흔히 사용되는 비모수적 회귀모형의 추정량이라고 하겠다. 이러한 국소선형 추정량이 자료가 희박한 구간에서는 심하게 왜곡된 추정결과를 보이는 문제가 있으며, Hall과 Turlach(1997)이 제안한 선형보간법이 이러한 문제에 대한 매우 효과적인 해결방안이라는 것은 잘 알려진 사실이다. 그러나 Hall과 Turlach가 제안한 선형보간법이 이상값에 매우 취약하다는 사실은 아직 지적된 적이 없는 문제이다. 이 논문에서는 이상값의 영향력을 감소시킬 수 있는 수정된 선형보간법에 의한 유사자료의 생성방법을 제안하고, 그 특성을 모의실험을 통하여 기존의 방법과 비교하였다.

Hierarchical Bayesian Analysis of Spatial Data with Application to Disease Mapping

  • Kim, Dal-Ho;Kang, Sang-Gil
    • Communications for Statistical Applications and Methods
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    • 제6권3호
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    • pp.781-790
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    • 1999
  • In this paper we consider estimation of cancer incidence rates for local areas. The raw estimates usually are based on small sample sizes and hence are usually unreliable. A hierarchical Bayes generalized linear model is used which connects the local areas thereby enabling one to 'borrow strength' Random effects with pairwise difference priors model the spatial structure in the data. The methods are applied to cancer incidence estimation for census tracts in a certain region of the state of New York.

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Local Asymptotic Normality for Independent Not Identically Distributed Observations in Semiparametric Models

  • Park, Byeong U.;Jeon, Jong W.;Song, Moon S.;Kim, Woo C.
    • Journal of the Korean Statistical Society
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    • 제20권1호
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    • pp.85-92
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    • 1991
  • A set of conditions ensuring local asymptotic normality for independent but not necessarily identically distributed observations in semiparametric models is presented here. The conditions are turned out to be more direct and easier to verify than those of Oosterhoff and van Zwet(1979) in semiparametric models. Examples considered include the simple linear regression model and Cox's proportional hazards model without censoring where the covariates are not random.

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NONPARAMETRIC DISCONTINUITY POINT ESTIMATION IN GENERALIZED LINEAR MODEL

  • Huh, Jib
    • Journal of the Korean Statistical Society
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    • 제33권1호
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    • pp.59-78
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    • 2004
  • A regression function in generalized linear model may have a discontinuity/change point at unknown location. In order to estimate the location of the discontinuity point and its jump size, the strategy is to use a nonparametric approach based on one-sided kernel weighted local-likelihood functions. Weak convergences of the proposed estimators are established. The finite-sample performances of the proposed estimators with practical aspects are illustrated by simulated examples.

A Comparative Study Between Linear Regression and Support Vector Regression Model Based on Environmental Factors of a Smart Bee Farm

  • Rahman, A. B. M. Salman;Lee, MyeongBae;Venkatesan, Saravanakumar;Lim, JongHyun;Shin, ChangSun
    • 스마트미디어저널
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    • 제11권5호
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    • pp.38-47
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    • 2022
  • Honey is one of the most significant ingredients in conventional food production in different regions of the world. Honey is commonly used as an ingredient in ethnic food. Beekeeping is performed in various locations as part of the local food culture and an occupation related to pollinator production. It is important to conduct beekeeping so that it generates food culture and helps regulate the regional environment in an integrated manner in preserving and improving local food culture. This study analyzes different types of environmental factors of a smart bee farm. The major goal of this study is to determine the best prediction model between the linear regression model (LM) and the support vector regression model (SVR) based on the environmental factors of a smart bee farm. The performance of prediction models is measured by R2 value, root mean squared error (RMSE), and mean absolute error (MAE). From all analysis reports, the best prediction model is the support vector regression model (SVR) with a low coefficient of variation, and the R2 values for Farm inside temperature, bee box inside temperature, and Farm inside humidity are 0.97, 0.96, and 0.44.

신경회로망 조정기를 이용한 상호 연결된 비선형 시스템의 비집중 제어 (Decentralized control of interconnected nonlinear systems using a neural coordinator)

  • 정희태;전기준
    • 전자공학회논문지B
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    • 제33B권6호
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    • pp.208-216
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    • 1996
  • This paper presents a decentralized control scheme for interconnected systems with unmodeled nonlinearities and interactions using a neural coordinator. The interactions due to the interconnection and the unmodeled nonlinearity associated with each subsystem are represented by the deviations from linearized states of decomposed subsystems. the decentralized controller is composed of local controllers and a neural coordinator. The local controller for each subsystem is derived from linearized local system parameters y linear optimal control theory. the neural cooridnator generates a corrective control signal to cancel the effect of deviation sthrough the backpropagation learning with the rrors obtained form the difference of the local system outputs and reference model outputs. the reference model consists of the part of local system without deviations. The effectiveness of the proposed control scheme is demonstrated by simulation studies.

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지역노동시장 수준에서 청년층 임금근로자의 직업이동 패턴과 영향요인 분석 (Occupational Mobility Patterns and Determinants among Youth Wage Workers in the Local Labor Market, Korea)

  • 송창현;임업
    • 지역연구
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    • 제39권3호
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    • pp.49-63
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    • 2023
  • 본 연구는 지역노동시장 수준에서 청년층 임금근로자의 직업이동 패턴을 탐색하고, 개별 근로자 수준 및 지역노동시장 수준 특성이 직업이동에 어떠한 영향을 미치는지에 대해 실증 분석했다. 분석을 위한 자료로는 『청년패널2007』 4-14차년도(2010-2020년), 『재직자조사』 원자료, 『지역별고용조사』 등을 활용했으며, 위계적 선형모형을 응용하여 근로자 개인 수준 및 지역노동시장 수준 한계효과를 추정했다. 분석 결과에 따르면, 1인당 GRDP가 높은 지역일수록 근로자의 직업 상향 이동에 긍정적인 영향을 미치는 것으로 나타났다. 한편, 지역노동시장권의 규모, 밀도, 실업률이 근로자가 보유한 교육 수준 및 직업 위치에 따라 차별적인 영향을 미치는 것으로 나타났는데, 이는 구조적 특성으로 인한 긍정적 효과가 모든 구성원에게 동등하게 배분되지는 않을 수 있는 점을 시사한다. 본 연구는 지역노동시장에서 최근 심화되고 있는 불평등 및 양극화와 관련하여 정책적 시사점을 제공한다.