• Title/Summary/Keyword: MEAN SHIFT

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The Effects of Financial Market Uncertainty: Does Regime Change Occur During Financial Market Crises? (금융시장 불확실성의 효과: 금융시장 위기 기간 중 국면전환이 발생하였는가?)

  • Kim, Seewon
    • Economic Analysis
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    • v.25 no.3
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    • pp.70-99
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    • 2019
  • Using a stochastic volatility-in-mean VAR model consisting of the KOSPI index, the foreign exchange rate, the government bond rate, and the credit spread, this study investigates the effects of financial market uncertainty on financial markets. We find that higher uncertainty has recessionary effects on financial markets. The effects are especially stronger in equity markets and in won-dollar exchange markets. We also find that the effects of uncertainty become stronger during times of financial market stress compared to normal times. Finally, the results imply that financial market uncertainty may potentially affect the real sector, too.

Real-time object tracking in Multi-Camera environments (다중 카메라 환경에서의 실시간 객체 추적)

  • 조상현;강행봉
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10b
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    • pp.691-693
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    • 2004
  • 비디오 시퀀스에서의 객체 추적은 보안 및 감시 시스템(Security and surveillance system), 비디오 원격 회의(Video teleconferencing)등과 같이 컴퓨터 비전 응용 분야에 널리 이용되어, 정정 그 중요성이 증가하고 있다 여러 가지 이유로 인친 카메라 덜(View)로부터 객체의 가시 상태가 변하는 경우, 하나의 뷰만을 이용해서는 좋은 결과를 가지기 어렵기 때문에 본 논문에서는 객체가 가장 잘 나타나는 뷰를 선택해서 객체를 추적하는 방법을 제안한다. 각각의 카메라 뷰에서 객체를 추적하기 위해 본 논문에서는 다중 후보가 결합된 Mean-shift 알고리즘을 이용한다. 제안된 시스템의 경우, 복잡한 환경으로 인해 객체의 가시 상태가 변하는 환경에서 단일 뷰를 이용하는 경우와 비교해 더 나은 성능을 가질 수 있었다.

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A study on the theory for Integrating of Statistical Process Control and Process Adjustmen (통계적 공정관리와 공정조절의 통합을 위한 이론에 대한연구)

  • Jung, Hae-Woon
    • Proceedings of the Safety Management and Science Conference
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    • 2005.11a
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    • pp.493-504
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    • 2005
  • Statistical Process Control and Process Adjustment theory is gaining recognition in the process industries where the process frequently experiences a shift mean. This paper aims to study, the theory difference between Statistical Process Control and Process Adjustment in simple terms and presents a case study that demonstrates successful integration of Statistical Process Control and Process Adjustment theory for a product in drifting industry.

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Changes of Phenological Cycles in South Korea

  • Park, Gwang-Yong
    • Proceedings of the KGS Conference
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    • 2003.05a
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    • pp.75-78
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    • 2003
  • A recent rise in mean global temperatures suggests a shift in the temporal cycles of natural seasons. The impacts of warming trends can alter the temporal and spatial distribution of flora and fauna. Especially, phenological cycles are very sensitive to the occurrence of alternation of hot and cold seasons. Phenological calendars reflect the natural seasonality. In more detail, phenological cycles affects agriculture and human health (i.e. the amount of fruit production and allergies), as well as tourism industries like flower fairs or festivals. (omitted)

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Determination of Wear Limit and the Initial Setting Position of Tool for a Machining Process (절삭공정에서 가공공구의 초기위치와 마모한계 결정)

  • 이도경
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.17 no.31
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    • pp.91-98
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    • 1994
  • Most of machines are physically or chemically degenerated by continuous usage. There- fore, a preventive maintenance is necessary. Producing defects are caused by process shift in mean and variance which are due to three types of degeneration. We develope the function of process variance from the experimental data and determine the optimal tool wear limit and the initial setting position of tool by considering the percent defective cost and the preventive maintenance cost.

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Control Procedure for a Process Subject to Discrete Linear Shift in Quality Characteristic (품질특성이 선형적으로 변하는 경우의 목표 품질수준과 생산량의 결정)

  • 김내헌
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.10 no.15
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    • pp.39-44
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    • 1987
  • A model for obtaining optimal target value and optimal production quantity of the process is described when the mean quality characteristic decreases according to the increase of production quantity. Two different cases are considered where defective items can be either sold at a reduced unit price or discarded. Some numerical examples are also given.

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Accuracy of Multiple Outlier Tests in Nonlinear Regression

  • Kahng, Myung-Wook
    • Communications for Statistical Applications and Methods
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    • v.18 no.1
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    • pp.131-136
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    • 2011
  • The original Bates-Watts framework applies only to the complete parameter vector. Thus, guidelines developed in that framework can be misleading when the adequacy of the linear approximation is very different for different subsets. The subset curvature measures appear to be reliable indicators of the adequacy of linear approximation for an arbitrary subset of parameters in nonlinear models. Given the specific mean shift outlier model, the standard approaches to obtaining test statistics for outliers are discussed. The accuracy of outlier tests is investigated using subset curvatures.

Operating Characteristic Properties of Two Types of Multi-Level Skip-Lot Sampling Plans

  • Byoung-Chul Choi
    • Communications for Statistical Applications and Methods
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    • v.2 no.2
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    • pp.358-365
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    • 1995
  • This paper presents another system of multi-level skip-lot sampling plan, which can directly retum to normal inspection from any skpping inspection level when a sudden shift for the worse in the process mean occurs. All the other properties of the proposed sampling plan are similar to those of the Choi's(1993) plan. The formula of the poerating characteristic function for the proposed n-level skip-lot sampling plan is derived. Sone poerating characteristic properties for the proposed plan are graphically compared with those of the Choi's plan.

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A Score Test for Detection of Outliers in Generalized Linear Models

  • Kahng, Myung-Wook;Kim, Min-Kyung
    • Journal of the Korean Data and Information Science Society
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    • v.15 no.1
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    • pp.129-139
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    • 2004
  • We consider the problem of testing for outliers in generalized linear model. We proceed by first specifying a mean shift outlier model, assuming the suspect set of ourliers is known. Given this model, we discuss standard approaches to obtaining score test for outliers as an alternative to the likelihood ratio test.

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Detection of Tracking Failures for Improving Object Tracking Performance (물체 추적 성능 향상을 위한 추적 실패의 검출 방법)

  • Yi, Kwang-Moo;Choi, Jin-Young
    • Proceedings of the KIEE Conference
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    • 2007.10a
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    • pp.461-462
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    • 2007
  • Mean Shift 알고리즘은 매우 빠르며 실시간 추적이 가능하다는 장점을 지니지만 추적의 정확도와 관련하여 scale의 변화와 관련된 적응문제, model의 변화에 대한 적응 문제 등 여러 문제점을 지닌다. 따라서 시스템의 안전성을 보장하기 위해서는 추적 실패를 검출할 수 있는 별도의 검출 방법이 필요하다. 본 연구는 별도의 추가적인 연산 없이 Bhattacharyya coefficient의 변화를 추정하여 물체 추적 실패를 검출하는 방법을 제안한다. 또한 이를 실제 추적 시스템에 구현하여 실험하여 그 성능을 확인하였다.

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