• Title/Summary/Keyword: biased

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Decoupling Control of Levitation and Thrust Motion of The Transverse Flux Linear Induction Motor Using DC-biased Multi Phase Inputs (DC 편의된 다상 입력을 이용한 횡자속 선형 유도 전동기의 부상/추진 독립제어)

  • Jung, Kwang-Suk;Huh, Jin-Hyuk;Baek, Yoon-Su
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.28 no.11
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    • pp.1733-1740
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    • 2004
  • In the transverse flux linear induction motor(TFLIM) with the general secondary composed of conductor and back-yoke, there exists a magnetized force into the normal direction or the air-gap direction of the thrust motion as well as the thrust force. Therefore, the various methodologies have been tried to use the normal force by the two independent control variables of the multi-phase input. But, as the force depends inevitably and strongly on the thrust force, it is essential to decouple both forces for two control index. In this paper, we suggest a novel approach capable of compensating the couple between both forces and the control index by using the DC-biased multi-phase input, and then realizing the independent control of TFLIM.

Comparison of Two Taper Functions in Estimating the Volume of Chamaecyparis obtusa Trees Using Centroid Method (중심치 방법을 이용한 편백림 간재적 추정을 위한 간곡선식의 비교)

  • Lee, Young-Jin;Kim, Hyung-Ho
    • Journal of agriculture & life science
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    • v.43 no.1
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    • pp.17-23
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    • 2009
  • This study was conducted to compare volumes estimated from two taper functions and observed volumes of Chamaecyparis obtusa trees to evaluate accuracy and precision of centroid method. Centroid volume estimates were also compared with volume estimates from existing Forest Resources Evaluation and Prediction Program. The results of this study showed that Gregoire's simple taper function produced unbiased volume estimates while the others were biased. Volume estimates from the Forest Resources Evaluation and Prediction Program were also biased when applied in the Jangseong National Forest regions. These results suggested that the centroid method could produce reliable stem volumes of trees when no other reliable stem volume equations exist.

A Study on The Utility Estimation about Employment of The Disabled (AHP를 이용한 장애인고용의 효용성평가 연구)

  • Park, Jae-Hyun
    • Proceedings of the Safety Management and Science Conference
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    • 2008.11a
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    • pp.405-419
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    • 2008
  • It is expected that the change of industrial structure of Knowledge based economy, and service based economy would affect on economic life of physically-challenged person with no exceptions. There have been some former studies which have been misunderstood the employment of disabled due to the declining employment of the disabled and prejudice to the disabled based on biased perspective and public opinion. This study have analyzed the employment conditions of the ordinary workers and disabled workers out of those prejudices and biased opinions. Wage, economic activity ratio, age, educational background and industry those 5 parameters are brought for analyzing the two comparison group. Each parameter have compared based on the statistical data of ordinary workers and disabled workers for past 7 years. Weight between each parameter have been drawn by collecting the experts' opinion using AHP(Analytic Hierarchy Process), and utility of employment of two comparison groups have been estimated through progress inclination of each parameter. Through the estimated outcome, present condition and controversial issues and way of improvement of domestic employment of ordinary workers and the disabled is mentioned.

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A review of analysis methods for secondary outcomes in case-control studies

  • Schifano, Elizabeth D.
    • Communications for Statistical Applications and Methods
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    • v.26 no.2
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    • pp.103-129
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    • 2019
  • The main goal of a case-control study is to learn the association between various risk factors and a primary outcome (e.g., disease status). Particularly recently, it is also quite common to perform secondary analyses of the case-control data in order to understand certain associations between the risk factors of the primary outcome. It has been repeatedly documented with case-control data, association studies of the risk factors that ignore the case-control sampling scheme can produce highly biased estimates of the population effects. In this article, we review the issues of the naive secondary analyses that do not account for the biased sampling scheme, and also the various methods that have been proposed to account for the case-control ascertainment. We additionally compare the results of many of the discussed methods in an example examining the association of a particular genetic variant with smoking behavior, where the data were obtained from a lung cancer case-control study.

Prediction of Energy Harvesting Efficiency of an Inverted Flag Using Machine Learning Algorithms (머신 러닝 알고리즘을 이용한 역방향 깃발의 에너지 하베스팅 효율 예측)

  • Lim, Sehwan;Park, Sung Goon
    • Journal of the Korean Society of Visualization
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    • v.19 no.3
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    • pp.31-38
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    • 2021
  • The energy harvesting system using an inverted flag is analyzed by using an immersed boundary method to consider the fluid and solid interaction. The inverted flag flutters at a lower critical velocity than a conventional flag. A fluttering motion is classified into straight, symmetric, asymmetric, biased, and over flapping modes. The optimal energy harvesting efficiency is observed at the biased flapping mode. Using the three different machine learning algorithms, i.e., artificial neural network, random forest, support vector regression, the energy harvesting efficiency is predicted by taking bending rigidity, inclination angle, and flapping frequency as input variables. The R2 value of the artificial neural network and random forest algorithms is observed to be more than 0.9.

A Four Pole, Double Plane, Permanent Magnet Biased Homopolar Magnetic Bearing with Fault-Tolerant Capability

  • Na, Uhn-Joo
    • Journal of the Korean Society of Industry Convergence
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    • v.24 no.6_1
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    • pp.659-667
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    • 2021
  • This paper develops the theory for a novel fault-tolerant, permanent magnet biased, 4-active-pole, double plane, homopolar magnetic bearing. The Lagrange Multiplier optimization with equality constraints is utilized to calculate the optimal distribution matrices for the failed bearing. If any of the 4 coils fail, the remaining three coil currents change via a novel distribution matrix such that the same opposing pole, C-core type, control fluxes as those of the un-failed bearing are produced. Magnetic flux coupling in the magnetic bearing core and the optimal current distribution helps to produce the same c-core fluxes as those of unfailed bearing even if one coil suddenly fails. Thus the magnetic forces and the load capacity of the bearing remain invariant throughout the failure event. It is shown that the control fluxes to each active pole planes are successfully isolated. A numerical example is provided to illustrate the new theory.

A Six Pole Permanent Magnet Biased Homopolar Magnetic Bearing with Fault-Tolerant Capability

  • Uhn Joo Na
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.2_1
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    • pp.231-238
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    • 2023
  • This paper develops the theory for a novel fault-tolerant, permanent magnet biased, 6-active-pole, homopolar magnetic bearing. The Lagrange Multiplier optimization with equality constraints is utilized to calculate the optimal distribution matrices for the failed bearing. some numerical examples of distribution matrices are provided to illustrate the new theory. Simulations show that very much the same dynamic responses (orbits or displacements) are maintained throughout failure events (up to any combination of 3 coils failed for the 6 pole magnetic bearing) while currents and fluxes change significantly. The overall load capacity of the bearing actuator is reduced as coils fail. The same magnetic forces are then preserved up to the load capacity of the failed bearing.

Bias-reduced ℓ1-trend filtering

  • Donghyeon Yu;Johan Lim;Won Son
    • Communications for Statistical Applications and Methods
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    • v.30 no.2
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    • pp.149-162
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    • 2023
  • The ℓ1-trend filtering method is one of the most widely used methods for extracting underlying trends from noisy observations. Contrary to the Hodrick-Prescott filtering, the ℓ1-trend filtering gives piecewise linear trends. One of the advantages of the ℓ1-trend filtering is that it can be used for identifying change points in piecewise linear trends. However, since the ℓ1-trend filtering employs total variation as a penalty term, estimated piecewise linear trends tend to be biased. In this study, we demonstrate the biasedness of the ℓ1-trend filtering in trend level estimation and propose a two-stage bias-reduction procedure. The newly suggested estimator is based on the estimated change points of the ℓ1-trend filtering. Numerical examples illustrate that the proposed method yields less biased estimates for piecewise linear trends.