• 제목/요약/키워드: standard approach method

검색결과 816건 처리시간 0.026초

Bilingual lexicon induction through a pivot language

  • Kim, Jae-Hoon;Seo, Hyeong-Won;Kwon, Hong-Seok
    • Journal of Advanced Marine Engineering and Technology
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    • 제37권3호
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    • pp.300-306
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    • 2013
  • This paper presents a new method for constructing bilingual lexicons through a pivot language. The proposed method is adapted from the context-based approach, called the standard approach, which is well-known for building bilingual lexicons using comparable corpora. The main difference between the standard approach and the proposed method is how to represent context vectors. The former is to represent context vectors in a target language, while the latter in a pivot language. The proposed method is very simplified from the standard approach thereby. Furthermore, the proposed method is more accurate than the standard approach because it uses parallel corpora instead of comparable corpora. The experiments are conducted on a language pair, Korean and Spanish. Our experimental results have shown that the proposed method is quite attractive where a parallel corpus directly between source and target languages are unavailable, but both source-pivot and pivot-target parallel corpora are available.

가역접근법을 이용한 일유출량 자료의 비선형 예측 (Nonlinear Forecasting of Daily Runoff Using Inverse Approach Method)

  • 이배성;정동국;정태성;이상진
    • 한국수자원학회논문집
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    • 제39권3호
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    • pp.253-259
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    • 2006
  • 기존의 거의 모든 수문학적 연구에 있어서, 시스템의 특성을 파악한 뒤 예측을 실시하는 표준접근법이 채택되어왔다. 그러나 최근 들어 시스템의 특성분석에 앞서 예측을 실시하고, 상태공간 매개변수가 시스템의 특성분석단계가 아닌 예측단계에서 평가되는 가역접근법이 제안되었다. 본 연구에서는 최근에 제안된 가역접근법과 기존에 널리 적용되어온 표준접근법을 이론적 카오스 시계열과 Idaho주 Bear강의 일유출량 자료에 적용함으로써, 가역접근법의 적용성을 검토하고 카오스 시계열의 특성을 알아보았으며, 카오스이론이 적용된 비선형 예측기법으로는 부분근사화 기법을 이용하였다. 카오스 특성 분석을 통해, 이론적 카오스 시계열과 Idaho주 Bear강의 일유출량 시계열 자료 모두에서 카오스 특성이 나타남을 알 수 있었다. 200일에 대한 1, 3, 5일 예측 결과, 가역접근법이 표준접근법에 비해 우수함을 알 수 있었다.

Analysis of Nested Case-Control Study Designs: Revisiting the Inverse Probability Weighting Method

  • Kim, Ryung S.
    • Communications for Statistical Applications and Methods
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    • 제20권6호
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    • pp.455-466
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    • 2013
  • In nested case-control studies, the most common way to make inference under a proportional hazards model is the conditional logistic approach of Thomas (1977). Inclusion probability methods are more efficient than the conditional logistic approach of Thomas; however, the epidemiology research community has not accepted the methods as a replacement of the Thomas' method. This paper promotes the inverse probability weighting method originally proposed by Samuelsen (1997) in combination with an approximate jackknife standard error that can be easily computed using existing software. Simulation studies demonstrate that this approach yields valid type 1 errors and greater powers than the conditional logistic approach in nested case-control designs across various sample sizes and magnitudes of the hazard ratios. A generalization of the method is also made to incorporate additional matching and the stratified Cox model. The proposed method is illustrated with data from a cohort of children with Wilm's tumor to study the association between histological signatures and relapses.

An Approach for Developing Web Applications by Reusing Components of e-Government Standard Framework

  • Moon, Mikyeong;Kim, Dong-Ju
    • 한국컴퓨터정보학회논문지
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    • 제20권8호
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    • pp.45-52
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    • 2015
  • To solve the problem of low inter-operability of systems and low reusability caused by not being standardized and common-shared development foundation between software developers, the government has proposed e-Government(eGov) standard framework. However, the development method based on eGov standard framework is not easy to learn and to use fluently, because it is so dissimilar the existing traditional development method. In this paper, we propose an approach for developing web applications by reusing common components of eGov standard framework, and describe about the case study of developing Can_Pro(Computer Aided Nutritional analysis program for Professionals) based on eGov standard framework. Consequently, we show improvement in productivity and reduction budget through reusability of common components and eGov standard framework.

프로젝트 접근법이 유아의 과학적 문제 해결력에 미치는 영향 (Effectiveness of the Project Approach Method in the Scientific Problem Solving Ability of Children)

  • 채순희;이기현
    • 아동학회지
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    • 제23권6호
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    • pp.103-119
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    • 2002
  • In this investigation of the effectiveness of the Project Approach Method the 32 4-to 5-year-old subjects (16 each in the experimental and comparative groups) were pre-tested before the Project Approach Method was applied (23 times over 7 weeks) in the experimental group while the comparative group had science activities using standard unit methods of instruction. Then, all the children had a posr-test. Data were analyzed by t-test and ANCOVA. Results showed differences between the experimental group and the comparative group in their scientific problem solving ability. Specifically, effects were found on 14 sub-factors, but no difference were found on 3 sub-factors.

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인공지능 기법을 이용한 CMOS 표준셀의 심볼릭 레이아웃 발생기 (A Symbolic Layout Generator for CMOS Standard Cells Using Artificial Intelligence Approach)

  • 유종근;이문기
    • 대한전자공학회논문지
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    • 제24권6호
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    • pp.1080-1086
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    • 1987
  • SLAGEN, a system for symbolic cell layout based on artificial intelligence approach, takes as input a transistor connection description of CMOS standard cells and environment information, and outputs a symbolic layout description. SLAGEN performas transistor grouping by a heuristic search method, in order to minimize the number of separations, and then performs group reordering and transistor reordering with an eye toward minimizing routing. Next, SLAGEN creates a rough initial routing in order to guarantee functionality and correctness, and then improve the initial routing by a rule-based approach.

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수산물 Eco-label CoC에 대한 식품안전 접근방안 연구 : AHP 기법을 통한 요구사항 분석을 중심으로 (A study on food safety approach for seafood Eco-label chain of custody : Focused on Requirement Analysis by AHP Method)

  • 서종석;서영환;윤덕현;서원철;옥영석
    • 수산경영론집
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    • 제46권3호
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    • pp.51-61
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    • 2015
  • The purpose of this study is to find food safety approach in the Eco-label Chain of Custody(CoC) which is only focused to traceability. Because, consumers want to be assured the certified seafood comes from sustainable fishery as well as hygienic. In order to this approach, we used Analytic Hierarchy Process(AHP) method as belows. We first understood the CoC criteria for using pair-wise comparison and analyzed and selected each Eco-label certifications and standards. Second, we carried out a survey to the targeted standard Marine Stewardship Council(MSC) CoC auditors all over the world and analyzed the priorities of food safety approach to 4 principles and 12 criteria belong the MSC CoC Standard. As the results, we found out that 'Management System' has the highest priority in the principles and 'Documentation' and 'Keeping Record' are the most important criteria for this approach. In addition, 'Training' and 'Identification' are also higher priority of criteria. So, we suggested food safety approach method for improvement of these criteria in conclusion based on discussion with specialist in this field.

매크로 파라메트릭 방법론은 이용한 CAD 모델의 교환 (Exchange of CAD Models Using Macro Parametric Approach)

  • 문두환;한순흥
    • 한국CDE학회논문집
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    • 제6권4호
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    • pp.254-262
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    • 2001
  • It is not possible to exchange parametric information of CAD (Computer Aided Design) models based on the current version of STEP (Standard leer the Exchange of Product model data). The design intent can be lost during the STEP transfer of CAD models. The ISO Parametrics Group has proposed the SMCH (Solid Model Construction History) schema in June 2000 that includes structures fur exchange of parametric information. This paper proposes the macro parametric approach that is intended to provide capabilities to transfer parametric information. In this approach, CAD models are exchanged in the form of macro files. The macro file contains user commands which are used in the modeling phase. To exchange CAD models using the macro parametric approach, modeling commands of commercial CAD systems are analyzed. Those commands are classified by the grouping method suggested by Bill Anderson. As a neutral file format, a standard modeling commands set has been defined. Mapping relations between the standard modeling commands set and the native modeling commands set of commercial CAD systems are defined.

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형상 모델러의 구현을 통한 표준 모델링 명령어 집합의 검증 (Verification of the Standard Modeling Commands by Implementing a Geometric Modeler)

  • 김병철;한순흥
    • 한국CDE학회논문집
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    • 제9권1호
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    • pp.19-26
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    • 2004
  • It is not possible to exchange parametric information of CAD models based on the current version of STEP (Standard for the Exchange of Product model data). The designer intents are lost during the transfer of CAD models. To resolve this problem, the macro-parametric approach had been proposed. To enable this approach, a set of standard modeling commands has been defined. Errors or missing elements of the standard modeling commands can be discovered by implementing macro-parametric translators. But there is a limit to discover problems only by using translators. This paper proposes a method to verify the standard modeling commands by implementing a geometric modeler. First, each argument of a modeling command is verified. Second, the set of the standard modeling commands is applied to geometric modeling of commercially available product parts. For the geometric modeling, nine test models have been selected.

A comparative study of the Gini coefficient estimators based on the regression approach

  • Mirzaei, Shahryar;Borzadaran, Gholam Reza Mohtashami;Amini, Mohammad;Jabbari, Hadi
    • Communications for Statistical Applications and Methods
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    • 제24권4호
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    • pp.339-351
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    • 2017
  • Resampling approaches were the first techniques employed to compute a variance for the Gini coefficient; however, many authors have shown that an analysis of the Gini coefficient and its corresponding variance can be obtained from a regression model. Despite the simplicity of the regression approach method to compute a standard error for the Gini coefficient, the use of the proposed regression model has been challenging in economics. Therefore in this paper, we focus on a comparative study among the regression approach and resampling techniques. The regression method is shown to overestimate the standard error of the Gini index. The simulations show that the Gini estimator based on the modified regression model is also consistent and asymptotically normal with less divergence from normal distribution than other resampling techniques.