• 제목/요약/키워드: step-by-step procedure

검색결과 984건 처리시간 0.027초

Improved nodal equivalence with leakage-corrected cross sections and discontinuity factors for PWR depletion analysis

  • Lee, Kyunghoon;Kim, Woosong;Kim, Yonghee
    • Nuclear Engineering and Technology
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    • 제51권5호
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    • pp.1195-1208
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    • 2019
  • This paper introduces a new two-step procedure for PWR depletion analyses. This procedure adopts the albedo-corrected parameterized equivalence constants (APEC) method to correct the lattice-based raw cross sections (XSs) and discontinuity factors (DFs) by accounting for neutron leakage. The intrinsic limitations of the conventional two-step methods are discussed by analyzing a 2-dimensional SMR with the commercial DeCART2D/MASTER code system. For a full-scope development of the APEC correction, the MASTER nodal code was modified so that the group constants can be corrected in the middle of a microscopic core depletion. The basic APEC methodology is described and color-set problems are defined to determine the APEC functions for burnup-dependent XS and DF corrections. Then the new two-step method was applied to depletion analyses of the SMR without thermal feedback, and its validity was evaluated in terms of being able to predict accurately the reactor eigenvalue and nodal power profile. In addition, four variants of the original SMR core were also analyzed for a further evaluation of the APEC-assisted depletion. In this work, several combinations of the burnup-dependent and -independent XS and DF corrections were also considered. The results show that the APEC method could enhance the nodal equivalence significantly with inexpensive additional costs.

다단계 혼성근사화에 기초한 대형구조계의 설계최적화 (Design Optimization of Large Scale Structural Systems based on Multilevel Hybrid Approximation)

  • 김경일;박종회;황진하
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2002년도 봄 학술발표회 논문집
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    • pp.249-256
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    • 2002
  • A new optimization procedure with approximate reanalysis module, using the staged hybrid methods with substructuring, is proposed in is study. In this procedure, displacements are calculated with two step mixed procedures. First step is to introduce the conservative approximation, which is a hybrid form of the linear and reciprocal approximation, as local approximation. In the next step, it is combined with the global approximation by reduced basis approach. The quality of reanalyzed quantities can be greatly improved through these staged hybrid approximations, specially for large changes in the design. Overall procedures are based on substructuring scheme. Several numerical examples illustrate the validity and effectiveness of the proposed methods.

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A Recommendation Procedure for Group Users in Online Communities

  • 오희영;김혜경;김재경
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2006년도 춘계학술대회
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    • pp.344-353
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    • 2006
  • Nowadays many people participate in online communities for information sharing. But most recommender systems are designed for personalization of individual user, so it is necessary to develop a recommendation procedure for group users, such as participants in online communities. This paper proposes a group recommender system to recommend books for group users in online communities. For such a purpose, we suggest a group recommendation procedure consisting of two phases. The first phase is to generate recommendation list for 'big user' using collaborative filtering, and the second phase is to remove irrelevant books among previous list reflecting the preference of each individual user. The procedure is explained step by step with an illustrative example. And this procedure can potentially be applied to other domains, such as music, movies and etc.

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3D CAD 데이터 기반의 효율적 철근 요소 생성 알고리즘 (An Efficient Algorithm for Rebar Element Generation Using 3D CAD Data)

  • 조경진;이지호
    • 한국전산구조공학회논문집
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    • 제22권5호
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    • pp.475-485
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    • 2009
  • 본 논문에서는 철근콘크리트 구조물의 3차원 디지털기술 기반 설계에 필요한 CAD/CAE 데이터 연동을 위하여 3D CAD 데이터로부터 철근 요소를 생성하는 2단계 알고리즘을 제안하였다. 1단계 과정은 STEP 표준형식의 3D CAD 데이터를 분석하여 여러 형태의 철근 객체 정보를 추출하는 알고리즘이며, 2단계 과정은 추출된 객체 형식의 철근 정보로부터 유한요소해석에 필요한 1차원 철근요소를 생성하는 알고리즘이다. 개발된 알고리즘을 구현하여 프로그램을 작성하였으며, 이를 사용하여 실제 3D CAD 소프트웨어로부터 생성된 철근콘크리트 구조물 데이터를 유한요소해석 데이터로 성공적으로 변환하여 제안된 알고리즘이 유효함을 보였다.

Salmonella sp. 의 신속한 동정을 위한 증진배양의 개선에 관한 연구

  • 김기태;김태우;육순학;이영호;백운화
    • 한국미생물·생명공학회지
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    • 제24권6호
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    • pp.647-651
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    • 1996
  • The development of an enrichment method for the rapid and effective identification of Salmonella spp. in sewage or food was studied. As a growth factor for Salmonella, 10 mM cyclic adenosine monophosphate (cAMP) in trypticase soy broth with 0.6% yeast extract (TSBYE) increased cell number five-folds and 0.6% yeast extract in selenite broth increased cell number ten-folds of control. Bile salts in selenite broth was tested for the selection of S. enteritidis in a mixture with Staphylococcus aureus, Pseudomonas aeruginosa, Lactobacillus plantarum and Escherichia coli. The latter four strains were effectively inhibited at 0.1% bile salt. A two-step culture method was used to enrich Salmonella spp.; a primary-enrichment and secondary- enrichment culture. At a primary-enrichment step, selenite broth with 0.6% yeast extract and 10 mM cAMP was used, and at a secondary-enrichment step, 0.1% bile salt was additionally used. Culture times of a primary- enrichment and a secondary-enrichment step were 8 hr and 6 hr, respectively. In this procedure, cell number increased from 10$^{0.3}$ to 10$^{8.5}$ with inhibition of other strains within 14 hr. In the case of an initial cell concentrarion as low as 10$^{-2}$ cfu/ml, a cell number increased to 10$^{7}$ cfu/ml by using a 10 hr primary-enrichment and 6 hr secondary-enrichment procedure.

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평균 영상 추정을 이용한 고속 플랙탈 영상 복원 알고리즘 (A fast fractal decoding algorithm using averaged-image estimation)

  • 문용호;박태희;김재호
    • 한국통신학회논문지
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    • 제23권9A호
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    • pp.2355-2364
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    • 1998
  • In conventional fractal decoding procedure, the reconstructed image is obtained by a rpredefined number of iterations starting with an arbitrary initial image. Its convergence speed depends on the selection of the initial image. It should be solved to get high speed convergence. In this paper, we theoretically reveal that conventional method is approximately decomposed into the decoding of the DC and AC components. Based on this fact, we proposed a novel fast fractal decoding algorithm made up of two steps. The averaged-image considered as an optimal initial image is estimated in the first step. In the second step, the reconstructe dimag eis genrated from the output image obtained in the first step. From the simulations, it is shown that the output image of the first step approximately converges to the averaged-image with only 15% calculations for one iteration of conventional method. And the proposed method is faster than various decoding mehtods and evenly equal to conventioanl decoding with the averaged-image. In addition, the proposed method can be applied to the compressed data resulted from the various encoding methods because it does not impose any constraints in the encoding procedure to get high decoding speed.

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An Application of Heckman Two-step Procedure to Management Accounting and Firm Effectiveness: An Empirical Study from Vietnam

  • HUYNH, Quang Linh
    • The Journal of Asian Finance, Economics and Business
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    • 제9권2호
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    • pp.347-353
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    • 2022
  • Using the Heckman two-step procedure, this study investigates the relationship between management accounting implementation and firm effectiveness. The research data for this study was acquired from 450 publicly traded companies in Vietnam; however, the final sample only includes 304 responses containing useful information. The reliability analysis was used to evaluate the acquired data to examine the qualities of constructs and the dimensions that make them up. Then, the Heckman two-step technique was performed to analyze the causal connection from the acceptance of management accounting to firm effectiveness allowing for the effect of environmental uncertainty and organizational characteristics on the likelihood of adopting management accounting. The empirical findings show that management accounting acceptance determines firm effectiveness; however, the research model on the relationship between management accounting adoption and firm effectiveness has a sample selection bias. The main conclusions of this study are that there is a difference in the effects of management accounting adoption on business effectiveness when sample selection bias is not taken into consideration. When potential sample selection bias is taken into account by integrating environmental uncertainty and organizational characteristics in the research model, the effect of adopting management accounting on company effectiveness becomes minor.

Detecting Multiple Outliers Using the Gaps of Order Statistics

  • Kim, Hyun Chul
    • Communications for Statistical Applications and Methods
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    • 제2권2호
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    • pp.184-197
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    • 1995
  • An objective and one-step detection procedure of multiple outliers is suggested by using the gaps of the order statistics. The detection procedure can be used as a routine outlier detection method of a statistical analysis computer program. The procedure is applied to some examples including the data selected by Kitagawa.

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Application of Standardization for Causal Inference in Observational Studies: A Step-by-step Tutorial for Analysis Using R Software

  • Lee, Sangwon;Lee, Woojoo
    • Journal of Preventive Medicine and Public Health
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    • 제55권2호
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    • pp.116-124
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    • 2022
  • Epidemiological studies typically examine the causal effect of exposure on a health outcome. Standardization is one of the most straightforward methods for estimating causal estimands. However, compared to inverse probability weighting, there is a lack of user-centric explanations for implementing standardization to estimate causal estimands. This paper explains the standardization method using basic R functions only and how it is linked to the R package stdReg, which can be used to implement the same procedure. We provide a step-by-step tutorial for estimating causal risk differences, causal risk ratios, and causal odds ratios based on standardization. We also discuss how to carry out subgroup analysis in detail.

3D 건조물 문화재의 계층적 구조를 기반으로 한 상세정보브라우징 (A detailed information browsing as a standard of the hierarchical structure on 3D national treasure building)

  • 정정일;조진수
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2009년도 춘계 종합학술대회 논문집
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    • pp.816-821
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    • 2009
  • 본 논문에서는 건조물 문화재의 대용량 3D 데이터를 시점거리 기준으로 사용자에게 적합한 정보를 제공하기 위하여, 계층적 구조를 기반으로 한 단계별 상세정보 브라우징 기법을 제안하고자 한다. 대용량 건조물 문화재의 단계별 상세정보는 크게 계층적 구조를 생성하는 전처리 과정과 사용자의 시점 거리를 고려하여, 적합한 계층정보를 결정하는 상세정보 브라우징 과정을 통하여 제공한다. 전처리 과정에서는 3D 데이터를 최적화된 공간구조로 분류하여 관리하고, 공간 내 표면들 간의 관계도를 검사하여 메시(mesh) 구조에 홀이나 왜곡이 발생하지 않도록 표면을 재구성한 후 단계별 상세정보 데이터를 생성한다. 상세정보 브라우징 과정에서는 모델과 사용자 간의 시점 거리를 검사하고, 이에 적합한 단계의 데이터를 브라우징 함으로써, 관찰 시점 위치에 따라 사용자에게 적합한 계층 모델 데이터를 제공할 수 있었다.

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