• Title/Summary/Keyword: Threshold regression

검색결과 243건 처리시간 0.022초

사면파괴 유형별 강우 한계선 설정 (Landslide Triggering Rainfall Threshold Based on Landslide Type)

  • 이지성;김윤태;송영갑;장대흥
    • 한국지반공학회논문집
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    • 제30권12호
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    • pp.5-14
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    • 2014
  • 국내 대부분의 사면파괴는 6월~9월에 발생하며, 이러한 사면파괴는 사회적으로 큰 손실을 유발한다. 사면파괴의 주요 원인은 강우강도(Intensity, I)와 강우기간(Duration, D)이다. 본 연구에서는 강우강도-기간(I-D)을 고려한 사면파괴 유발 강우 한계선(rainfall threshold)을 제안하였다. 본 연구를 위해서 국립재난안전연구원과 다양한 보고서 및 매체 그리고 현장조사를 통해서 1999년부터 2012년까지 풍화토 지반에서 유발된 255개 재해이력 자료를 수집하였다. 그리고 기상청의 강우자료를 바탕으로 사면파괴가 발생한 시점의 전 후의 시간에 대한 강우량 데이터를 수집하였다. 수집된 재해이력과 강우량 데이터베이스를 바탕으로 사면파괴를 유형별(토석류, 얕은 사면파괴 등)로 분류하고, 통계적 기법인 분위수 회귀분석을 이용하여 강우강도 및 기간을 분석함으로써 강우 한계선을 제안하였다. 뿐만 아니라 2013년의 재해이력 자료를 통해 제안된 한계선의 검증을 수행하였다. 또한 국외의 한계선과 제안된 한계선을 비교 분석하였다. 본 연구에서 제안된 강우 한계선은 산사태 예 경보시스템을 구축할 때 기초자료로 사용될 수 있다고 판단된다.

DEM으로부터 하천망 추출을 위한 흐름누적 임계값의 분석 (Analysis of Flowaccumulation Threshold Value to Extract Stream Network from DEM)

  • 김연준;양인태
    • 한국측량학회지
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    • 제20권3호
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    • pp.255-264
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    • 2002
  • 지형은 강우시 유역의 유출반응을 결정하는 중요한 인자이다. 유역분석에서 하천망은 중요한 지형 매개변수이다. DEM격자 크기와 배수누적 행렬의 흐름누적 임계값은 격자 DEM를 이용하여 추출된 하천망에 영향을 미친다. 따라서 DEM에 의해서 추출된 하천망의 배수 밀도는 선택된 DEM 격자크기와 흐름누적 임계값에 따라 다양하다. 일반적으로 작은 흐름누적 임계값은 높은 배수밀도를 가지는 아주 세부적인 하천망을 만들어 내고, 큰 임계값은 조잡한 하천망을 만들어 낸다. 이 연구에서는 연구대상지역에서 총 하천길이가 각각의 DEM 격자크기에 대해 흐름누적 임계값을 계산하는데 이용되었다. 하천망은 흐름누적 임계값을 적용하여 각각의 DEM 격자크기에 대해 추출되었으며, 흐름누적 임계값과 각각의 DEM 격자크기에 연관성이 회귀방정식으로 도출되었다.

Infrastructure-Growth Link and the Threshold Effects of Sub-Indices of Institutions

  • OGBARO, Eyitayo Oyewunmi;OLADEJI, Sunday Idowu
    • Asian Journal of Business Environment
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    • 제11권1호
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    • pp.17-25
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    • 2021
  • Purpose: This study extends previous empirical work on the threshold effects of institutions on the relationship between infrastructure and economic growth. It does so by using three sub-indices of institutions as the threshold variable in place of aggregate index. This is with a view to determining the roles of the sub-indices in the nexus between infrastructure and economic growth. Research design, data and methodology: The analysis is based on a dynamic panel threshold regression model using a panel data set comprising 41 countries in Sub-Saharan Africa over the sample period of 1996-2015. Data are obtained from Ogbaro (2019). Results: The study finds that infrastructure exerts significant positive effects on economic growth below and above the threshold values of the three sub-indices, with higher effects above the threshold values. Results also show that on average, the Sub-Saharan African countries are not able to satisfy any of the threshold conditions, which accounts for their poor growth experience. Conclusion: The study concludes that countries with weak institutions do not benefit maximally from infrastructure development policies. The paper, therefore, recommends that countries in Sub-Saharan Africa need to focus on improving their institutional patterns if they are to reap the optimum benefits from their infrastructure development efforts.

온도와 부하의 비선형성을 이용한 단기부하예측에서의 TAR(Threshold Autoregressive) 모델 (TAR(Threshold Autoregressive) Model for Short-Term Load Forecasting Using Nonlinearity of Temperature and Load)

  • 이경훈;이윤호;김진오
    • 대한전기학회논문지:전력기술부문A
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    • 제50권9호
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    • pp.399-399
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    • 2001
  • This paper proposes TAR(Threshold Autoregressive) model for short-term load forecasting including temperature variable. In the scatter diagram of daily peak load versus daily high or low temperature, we can find out that the load-temperature relationship has a negative slope in the lower regime and a positive slope in the upper regime due to the heating and cooling load, respectively. TAR model is adequate for analyzing these phenomena since TAR model is a piecewise linear autoregressive model. In this paper, we estimated and forecasted one day-ahead daily peak load by applying TAR model using this load-temperature characteristic in these regimes. The results are compared with those of linear and quadratic regression models.

온도와 부하의 비선형성을 이용한 단기부하예측에서의 TAR(Threshold Autoregressive) 모델 (TAR(Threshold Autoregressive) Model for Short-Term Load Forecasting Using Nonlinearity of Temperature and Load)

  • 이경훈;이윤호;김진오
    • 대한전기학회논문지:전력기술부문A
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    • 제50권9호
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    • pp.309-405
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    • 2001
  • This paper proposes TAR(Threshold Autoregressive) model for short-term load forecasting including temperature variable. In the scatter diagram of daily peak load versus daily high or low temperature, we can find out that the load-temperature relationship has a negative slope in the lower regime and a positive slope in the upper regime due to the heating and cooling load, respectively. TAR model is adequate for analyzing these phenomena since TAR model is a piecewise linear autoregressive model. In this paper, we estimated and forecasted one day-ahead daily peak load by applying TAR model using this load-temperature characteristic in these regimes. The results are compared with those of linear and quadratic regression models.

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공간 극단값의 분계점 모형 사례 연구 - 한국 여름철 강수량 (Threshold Modelling of Spatial Extremes - Summer Rainfall of Korea)

  • 황승용;최혜미
    • 응용통계연구
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    • 제27권4호
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    • pp.655-665
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    • 2014
  • 폭염, 폭우와 가뭄 등과 같은 이상 기후 현상에 대한 적절한 대응이 최근 많이 요구되고 있다. 이상 기후 현상을 분석하기 위해 극단값 분석 기법을 적용할 수 있는데, 본 논문은에서는 한국의 여름철 강수량 자료(1973년부터 2012년까지의 5월부터 9월)를 분계점 초과값 모형으로 분석해보았다. 분계점은 한국의 기상관측소들을 5개의 군집으로 나누어, 각 군집별로 지리 정보와 시간을 공변량으로 하는 분위수 회귀 방법을 통하여 추정하였다. Northrop과 Jonathan (2011)과 같이 극단값들이 시공간적으로 독립이라고 가정하고 분석한 후, 추정오차와 검정 과정에 공간 종속성을 반영하였다.

Robust Lip Extraction and Tracking of the Mouth Region

  • Min, Duk-Soo;Kim, Jin-Young;Park, Seung-Ho;Kim, Ki-Jung
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 ITC-CSCC -2
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    • pp.927-930
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    • 2000
  • Visual features of lip area play an important role in the visual speech information. We are concerned about correct lip area as region of interest (ROI). In this paper, we propose a robust and fast method for locating the mouth corners. Also, we define a region of interest at mouth during speech. A method, which we have used, only uses the horizontal and vertical image operators at mouth area. This searching is performed by fitting the ROI-template to image with illumination control. Most of the lip extraction algorithms are dependent on luminosity of image. We just used the binary image where the variable threshold is applied. The variable threshold varies to illumination condition. In order to control those variations, the gray-tone is converted to binary image by threshold, which is obtained through Multiple Linear Regression Analysis (MLRA) about divided 2D special region. Thus we obtained the region of interest at mouth area, which is the robust extraction about illumination. A region of interest is automatically extracted.

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The Role of Intelligence (IQ) on The Globalization-Income Inequality Nexus: A Threshold Regression Approach

  • IBRAHIM, Saifuzzaman;MAZLINA, A.R.;AZMAN-SAINI, W.N.W.;BURHAN, Nik Ahmad Sufian
    • The Journal of Asian Finance, Economics and Business
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    • 제8권12호
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    • pp.9-17
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    • 2021
  • Globalization is an economic process responsible for the increase of interdependence of world economies. It enhances the mobility of national resources internationally via the integration of markets, trade and investments with minimal barriers to slow the flow of products and services. Although globalization has some positive impacts on the economy, it is said to be a factor in the decline of income inequality of the participating countries. However, the results of previous studies on the relationship between globalization and income inequality are inconclusive. This suggests that there are other factors influencing the relationship between the two variables. The purpose of this study is to examine the role of intelligence (IQ) in the globalization-income inequality relationship. This study employs the threshold regression technique and cross-nation observations from 117 sample nations for the period 1980-2016. The results show that the impact of globalization on income inequality in a nation relies on its IQ level. The results imply that economic globalization has a negative impact on income inequality in nations with lower IQ levels. It widens the gap between the poor and rich. While in nations with higher IQ levels, it seems to not have any significant impact on income distribution.

비모수적 회귀함수 추정에 대한 Family Approach (The Family Approach to Nonparametric Estimation of the Regression Function)

  • 정성석
    • 품질경영학회지
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    • 제25권4호
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    • pp.106-114
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    • 1997
  • The smoothing parameter or bandwidth is crucial to performance of the kernel based regression estimator. So the choice of a "optimal" smoothing parameter produce a single curve estimate. If a single estimate is replaced by a family of estimates, it become easy that we understand what varies with choice of the smoothing parameter. This paper suggests the threshold of the maximum bandwidth and the number of the family members in the regression context.n context.

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선형 근사를 통한 MP3 음악 요약의 성능 향상 (Improvement of MP3-Based Music Summarization Using Linear Regression)

  • 고서영;박정식;오영환
    • 대한음성학회:학술대회논문집
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    • 대한음성학회 2005년도 추계 학술대회 발표논문집
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    • pp.55-58
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    • 2005
  • Music Summarization is to extract there presentative section of a song such as chorus or motif. In previous work, the length of music summarization was fixed, and the threshold to determine the chorus section was so sensitive that the tuning was needed. Also, the rapid change of rhythm or variation of sound effects make the chorus extraction errors. We suggest the linear regression for extracting the changeable length and for minimizing the effects of threshold variation. The experimental result shows that proposed method outperforms conventional one.

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