• 제목/요약/키워드: Selection procedure

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작업평가방법론 및 현장 적용 고찰 (A Survey on the Workload Evaluation Methods and Their Applications to WMSD Work in Industries)

  • 박재희
    • 대한인간공학회지
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    • 제29권4호
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    • pp.435-444
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    • 2010
  • To identify and evaluate the risk factors in WMSD work, a number of ergonomic workload evaluation methods have been developed. In the legal examination of WMSD risk factors, simple observational workload evaluation methods are widely used instead of using costly measurement equipments such as EMG and motion analyzer. The simple workload evaluation methods can be categorized into three groups; risk factor checklist methods, posture observation methods, and manual material handling task evaluation methods. In terms of the categories, this survey summarized several representative workload evaluation methods and compared them each other. Then some industrial application cases referring each the workload evaluation methods were surveyed. Due to the characteristics of each method, the selection and application procedure of workload evaluation method should be appropriate for the corresponding work. Therefore, some guidelines for the selection and application procedure of workload evaluation method were suggested.

정상상태시 전압유지를 위한 TCSC의 최적 위치 선정에 관한 연구 (Selection of Optimal TCSC Location to Keep the Steady-state Voltage Profile within limits)

  • 임정욱;서장철;문승일
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1998년도 하계학술대회 논문집 C
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    • pp.1063-1065
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    • 1998
  • This paper discusses the selection of optimal location of Thyristor Controlled Series Compensator (TCSC) devices to maintain the steady-state voltage profile within limits. A procedure for selecting optimal TCSC location based on sensitivity analysis is developed. This approach identifies the critical lines by evaluating all the voltage magnitudes sensitivity with respect to a line reactance. Computer simulation of a example system is used to verify the proposed procedure.

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A Two-Stage Elimination Type Selection Procedure for Stochastically Increasing Distributions : with an Application to Scale Parameters Problem

  • Lee, Seung-Ho
    • Journal of the Korean Statistical Society
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    • 제19권1호
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    • pp.24-44
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    • 1990
  • The purpose of this paper is to extend the idea of Tamhane and Bechhofer (1977, 1979) concerning the normal means problem to some general class of distributions. The key idea in Tamhane and Bechhofer is the derivation of the computable lower bounds on the probability of a correct selection. To derive such lower bounds, they used the specific covariance structure of a multivariate normal distribution. It is shown that such lower bounds can be obtained for a class of stochastically increasing distributions under certain conditions, which is sufficiently general so as to include the normal means problem as a special application. As an application of the general theory to the scale parameters problem, a two-stage elimination type procedure for selecting the population associated with the smallest variance from among several normal populations is proposed. The design constants are tabulated and the relative efficiencies are computed.

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방사선 방어의 최적화 절차론 개발에 관한 연구 (A Study on the Development of Optimization Procedure for Radiological Protection)

  • 송종순
    • Journal of Radiation Protection and Research
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    • 제19권1호
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    • pp.1-11
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    • 1994
  • 방사선 방어의 최적화 수행에는 적용의 다양함 등을 고려할 때, 절차론이 반드시 필요하게 된다. 본 연구에서는 발전소 설계 단계에서의 최적화 절차론을 제시하고, 이를 피폭 저감대안의 선정 문제에 적용하였다. 의사결정 보조기법으로는 다기준 기법을 사용하였으며, 그 결과 대안의 우선순위를 결정하고, 최적화의 결과를 실제 적용하는 문제를 분석하였다. 이러한 최적화 절차론은 발전소 이외에 방사성 폐기물 관리나 방사선의 의학적 이용 둥의 분야에도 적용될 수 있다.

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Strategies for finding the adequate air void threshold value in computer assisted determination of air void characteristics in hardened concrete

  • Duh, David;Zarnic, Roko;Bokan-Bosiljkov, Violeta
    • Computers and Concrete
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    • 제5권2호
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    • pp.101-116
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    • 2008
  • The microscopic determination of air void characteristics in hardened concrete, defined in EN 480-11 as the linear-traverse method, is an extremely time-consuming and tedious task. Over past decades, several researchers have proposed relatively expensive mechanical automated systems which could replace the human operator in this procedure. Recently, the appearance of new high-resolution flatbed scanners has made it possible for the procedure to be automated in a fully-computerized and thus cost-effective way. The results of our work indicate the high sensitivity of such image analysis automated systems firstly to the quality of sample surface preparation, secondly to the selection of the air void threshold value, and finally to the selection of the probe system. However, it can be concluded that in case of careful validation and the use of the approach which is proposed in the paper, such automated systems can give very good estimate of the air void system parameters, defined in EN 480-11. The amount of time saved by using such a procedure is immense, and there is also the possibility of using alternative stereological methods to assess other, perhaps also important, characteristics of air void system in hardened concrete.

반도체 및 LCD 제조 공정의 AGV Controller 개발 (Development of an AGV Controller in Semiconductor and LCD Production Systems)

  • 서정대;장재진;구평회
    • 대한산업공학회지
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    • 제29권1호
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    • pp.1-13
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    • 2003
  • In this paper, LAC(Look-ahead AGV Controller) has been developed for efficient routing of parts in semiconductor and LCD production systems. Several procedures have been developed as sub-modules. LACP(Look-ahead AGV Control Procedure) which controls AGVs using the information on the current and future status of the systems is the main element of the LAC. To support LACP, DSP(Destination Selection Procedure) which determines a destination of a part and AGV call time, SSP(Source Selection Procedure)which selects a part coming next to a buffer when the buffer becomes available. and RTM(Response Time Model) which estimates empty travel time of AGVs and waiting time for an available AGV have been developed. A simulation experiment shows that LAC reduces part's flow time, AGV utilization, average and maximum inventory level of a central buffer, empty travel time of an AGV, and waiting time for an available AGV.

원본 지반운동 시간이력에 따른 스펙트럼 부합 시간이력의 특성 (Characteristics of Spectral Matched Ground Motions Time Histories According to Seed Ground Motion Selection)

  • 최다슬;지혜연;김정한
    • 한국지진공학회논문집
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    • 제25권1호
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    • pp.43-52
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    • 2021
  • According to several seismic design standards, a ground motion time history should be selected similar to the design response spectrum, or a ground motion time history should be modified by matching procedure to the design response spectrum through the time-domain method. For the response spectrum matching procedure, appropriate seed ground motions need to be selected to maintain recorded earthquake accelerogram characteristics. However, there are no specific criteria for selecting the seed ground motions for applying this methodology. In this study, the characteristics of ground motion time histories between seed motions and spectral matched motions were compared. Intensity measures used in the design were compared, and their change by spectral matching procedure was quantified. In addition, the seed ground motion sets were determined according to the response spectrum shape, and these sets analyzed the response of nonlinear and equivalent linear single degrees of freedom systems to present the seed motion selection conditions for spectral matching. As a result, several considerations for applying the time domain spectral matching method were presented.

Application of machine learning methods for predicting the mechanical properties of rubbercrete

  • Miladirad, Kaveh;Golafshani, Emadaldin Mohammadi;Safehian, Majid;Sarkar, Alireza
    • Advances in concrete construction
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    • 제14권1호
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    • pp.15-34
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    • 2022
  • The use of waste rubber in concrete can reduce natural aggregate consumption and improve some technical properties of concrete. Although there are several equations for estimating the mechanical properties of concrete containing waste rubber, limited numbers of machine learning-based models have been proposed to predict the mechanical properties of rubbercrete. In this study, an extensive database of the mechanical properties of rubbercrete was gathered from a comprehensive survey of the literature. To model the mechanical properties of rubbercrete, M5P tree and linear gene expression programming (LGEP) methods as two machine learning techniques were employed to achieve reliable mathematical equations. Two procedures of input variable selection were considered in this study. The crucial component ratios of rubbercrete and concrete age were assumed as the input variables in the first procedure. In contrast, the volumes of the coarse and fine waste rubber and the compressive strength of concrete without waste rubber were considered the second procedure of the input variables. The results show that the models obtained by LGEP are more accurate than those achieved by the M5P model tree and existing traditional equations. Besides, the volumes of the coarse and fine waste rubber and the compressive strength of concrete without waste rubber are better predictors of the mechanical properties of rubbercrete compared to the first procedure of input variable selection.

다수준 프레일티모형 변수선택법을 이용한 다기관 방광암 생존자료분석 (Analysis of multi-center bladder cancer survival data using variable-selection method of multi-level frailty models)

  • 김보현;하일도;이동환
    • Journal of the Korean Data and Information Science Society
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    • 제27권2호
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    • pp.499-510
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    • 2016
  • 생존분석 회귀모형에서 적절한 변수를 선택하는 것은 매우 중요하다. 본 논문에서는 "frailtyHL" R 패키지 (Ha 등, 2012)를 기반으로 하여 다수준 프레일티 모형 (multi-level frailty models)에서 벌점화 변수선택 방법 (penalized variable-selection method)의 절차를 소개한다. 여기서 모형 추정은 벌점화 다단계 가능도에 기초하며, 세 가지 벌점 함수 (LASSO, SCAD 및 HL)가 고려된다. 개발된 방법의 예증을 위해 벨기에 EORTC (European Organization for Research and Treatment of Cancer; 유럽 암 치료기구)에서 수행된 다국가/다기관 임상시험 자료를 이용하여 세 가지 변수 선택 방법의 결과를 비교하고, 그 결과들의 상대적 장 단점에 대해 토론한다. 특히, 자료 분석 결과에 의하면 SCAD와 HL방법이 LASSO보다 중요한 변수를 잘 선택하는 것으로 나타났다.

평균-분산 가속화 실패시간 모형에서 벌점화 변수선택 (Penalized variable selection in mean-variance accelerated failure time models)

  • 권지훈;하일도
    • 응용통계연구
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    • 제34권3호
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    • pp.411-425
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    • 2021
  • 가속화 실패시간모형은 로그 생존시간과 공변량간의 선형적 관계를 묘사해 준다. 가속화 실패시간모형에서 생존시간의 평균뿐만 아니라 변동성에도 영향을 미치는 공변량 효과를 추론하는 것은 흥미가 있다. 이를 위해 생존시간의 평균뿐만 아니라 분산을 모형화 하는 것이 필요하며, 이러한 모형을 평균-분산 가속화 실패시간모형이라 부른다. 본 논문에서는 벌점 가능도함수를 이용하여 평균-분산 가속화 실패시간모형에서 회귀모수에 대한 변수선택 절차를 제안한다. 여기서 벌점함수로서 LASSO, ALASSO, SCAD 그리고 HL (계층가능도)와 같은 네 가지 벌점함수를 연구한다. 제안된 변수선택 절차를 통해 중요한 공변량의 선택 뿐만 아니라 회귀모수의 추정을 동시에 제공할 수 있다. 제안된 방법의 성능은 모의실험을 통해 평가하고, 하나의 임상 예제자료를 통해 제안된 방법을 예증하고자 한다.