• 제목/요약/키워드: Coefficient Selection

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에어챔버가 설치된 가압펌프 계통에서의 수격현상 (Water Hammer in the Pump Pipeline System with an Air Chamber)

  • 김상균;이계복
    • 에너지공학
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    • 제16권4호
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    • pp.187-193
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    • 2007
  • 갑작스런 펌프 정지로 야기되는 수격현상은 과압이나 부압을 일으킬 수 있다. 과압을 줄이거나 부압을 방지하는 것은 계통설비의 피로를 피하고 작동효율을 향상시키기 위해 필요하다. 에어챔버가 설치된 펌프 관로 계에서 수격현상에 대한 현장시험을 수행하였다 또한 특성 곡선법을 사용하여 과도현상에 대한 수치해석을 수행하였다. 계통에 대한 헌장시험과 수치해석 결과를 비교하여 수치해석코드에 사용되는 주요 입력변수인 폴리트로픽 지수, 유량계수, 압력파의 속도에 대한 보정값 검증과 민감도 분석을 수행하였다. 수격현상을 최소화할 수 있는 에어챔버의 크기와 관련 변수의 영향이 현장시험과 수치해석을 통해 연구되었다.

정보 입자화를 통한 방사형 기저 함수 기반 다항식 신경 회로망의 진화론적 설계 (Evolutionary Design of Radial Basis Function-based Polynomial Neural Network with the aid of Information Granulation)

  • 박호성;진용하;오성권
    • 전기학회논문지
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    • 제60권4호
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    • pp.862-870
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    • 2011
  • In this paper, we introduce a new topology of Radial Basis Function-based Polynomial Neural Networks (RPNN) that is based on a genetically optimized multi-layer perceptron with Radial Polynomial Neurons (RPNs). This study offers a comprehensive design methodology involving mechanisms of optimization algorithms, especially Fuzzy C-Means (FCM) clustering method and Particle Swarm Optimization (PSO) algorithms. In contrast to the typical architectures encountered in Polynomial Neural Networks (PNNs), our main objective is to develop a design strategy of RPNNs as follows : (a) The architecture of the proposed network consists of Radial Polynomial Neurons (RPNs). In here, the RPN is fully reflective of the structure encountered in numeric data which are granulated with the aid of Fuzzy C-Means (FCM) clustering method. The RPN dwells on the concepts of a collection of radial basis function and the function-based nonlinear (polynomial) processing. (b) The PSO-based design procedure being applied at each layer of RPNN leads to the selection of preferred nodes of the network (RPNs) whose local characteristics (such as the number of input variables, a collection of the specific subset of input variables, the order of the polynomial, and the number of clusters as well as a fuzzification coefficient in the FCM clustering) can be easily adjusted. The performance of the RPNN is quantified through the experimentation where we use a number of modeling benchmarks - NOx emission process data of gas turbine power plant and learning machine data(Automobile Miles Per Gallon Data) already experimented with in fuzzy or neurofuzzy modeling. A comparative analysis reveals that the proposed RPNN exhibits higher accuracy and superb predictive capability in comparison to some previous models available in the literature.

Identifying significant earthquake intensity measures for evaluating seismic damage and fragility of nuclear power plant structures

  • Nguyen, Duy-Duan;Thusa, Bidhek;Han, Tong-Seok;Lee, Tae-Hyung
    • Nuclear Engineering and Technology
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    • 제52권1호
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    • pp.192-205
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    • 2020
  • Seismic design practices and seismic response analyses of civil structures and nuclear power plants (NPPs) have conventionally used the peak ground acceleration (PGA) or spectral acceleration (Sa) as an intensity measure (IM) of an earthquake. However, there are many other earthquake IMs that were proposed by various researchers. The aim of this study is to investigate the correlation between seismic responses of NPP components and 23 earthquake IMs and identify the best IMs for correlating with damage of NPP structures. Particularly, low- and high-frequency ground motion records are separately accounted in correlation analyses. An advanced power reactor NPP in Korea, APR1400, is selected for numerical analyses where containment and auxiliary buildings are modeled using SAP2000. Floor displacements and accelerations are monitored for the non- and base-isolated NPP structures while shear deformations of the base isolator are additionally monitored for the base-isolated NPP. A series of Pearson's correlation coefficients are calculated to recognize the correlation between each of the 23 earthquake IMs and responses of NPP structures. The numerical results demonstrate that there is a significant difference in the correlation between earthquake IMs and seismic responses of non-isolated NPP structures considering low- and high-frequency ground motion groups. Meanwhile, a trivial discrepancy of the correlation is observed in the case of the base-isolated NPP subjected to the two groups of ground motions. Moreover, a selection of PGA or Sa for seismic response analyses of NPP structures in the high-frequency seismic regions may not be the best option. Additionally, a set of fragility curves are thereafter developed for the base-isolated NPP based on the shear deformation of lead rubber bearing (LRB) with respect to the strongly correlated IMs. The results reveal that the probability of damage to the structure is higher for low-frequency earthquakes compared with that of high-frequency ground motions.

Resistance Potential of Bread Wheat Genotypes Against Yellow Rust Disease Under Egyptian Climate

  • Mahmoud, Amer F.;Hassan, Mohamed I.;Amein, Karam A.
    • The Plant Pathology Journal
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    • 제31권4호
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    • pp.402-413
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    • 2015
  • Yellow rust (stripe rust), caused by Puccinia striiformis f. sp. tritici, is one of the most destructive foliar diseases of wheat in Egypt and worldwide. In order to identify wheat genotypes resistant to yellow rust and develop molecular markers associated with the resistance, fifty F8 recombinant inbred lines (RILs) derived from a cross between resistant and susceptible bread wheat landraces were obtained. Artificial infection of Puccinia striiformis was performed under greenhouse conditions during two growing seasons and relative resistance index (RRI) was calculated. Two Egyptian bread wheat cultivars i.e. Giza-168 (resistant) and Sakha-69 (susceptible) were also evaluated. RRI values of two-year trial showed that 10 RILs responded with RRI value >6 <9 with an average of 7.29, which exceeded the Egyptian bread wheat cultivar Giza-168 (5.58). Thirty three RILs were included among the acceptable range having RRI value >2 <6. However, only 7 RILs showed RRI value <2. Five RILs expressed hypersensitive type of resistance (R) against the pathogen and showed the lowest Average Coefficient of Infection (ACI). Bulked segregant analysis (BSA) with eight simple sequence repeat (SSR), eight sequence-related amplified polymorphism (SRAP) and sixteen random amplified polymorphic DNA (RAPD) markers revealed that three SSR, three SRAP and six RAPD markers were found to be associated with the resistance to yellow rust. However, further molecular analyses would be performed to confirm markers associated with the resistance and suitable for marker-assisted selection. Resistant RILs identified in the study could be efficiently used to improve the resistance to yellow rust in wheat.

다중회귀분석 방법에 따른 시간분포 회귀식의 회귀계수 유의성 검정 비교 (Comparison of Regression Coefficient Significance Test for Temporal Distribution by Multiple Regression Analysis Method)

  • 이성호;이재준;박진희
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2019년도 학술발표회
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    • pp.205-205
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    • 2019
  • 우리나라에서 강우의 시간분포를 위해 보편적으로 사용되고 있는 방법은 Huff 4분위법으로 강우의 시간적 분포특성을 나타내는 무차원 시간분포곡선을 제시한 것으로, 강우의 지속기간을 4분위로 구분하여 각 분위의 강우량 중 가장 큰 값이 속해 있는 구간을 선택하여 그 구간의 위치에 따라 분위를 정하는 방법이다. 현재 실무에서는 Huff의 분위별 곡선에 대한 회귀식은 지속기간 전반에 걸쳐 정확도가 높은 이유로 6차식을 적용하고 있으나, 통계 모델링에서 간결함의 원리에 따라 회귀식이 간결할 필요가 있으며, 통계적 유의수준에 기초하여 회귀계수를 결정하여야 하므로 유의성 검정 방법을 통한 검정결과를 비교할 필요가 있다. 따라서 본 연구에서는 다중회귀분석 방법에 따른 회귀계수 유의성 검정결과 비교를 위하여 구미지역의 무차원 누가우량 백분율을 이용한 시간분포 회귀식을 이용하여 유의성 검정 방법인 분산분석 방법(Analysis of Variance)과 변수선택 방법(Backward Selection)의 검정 결과를 도출 및 비교하였다. 통계프로그램인 프로그래밍 R을 이용하여 변수선택 방법 중 후방제거법 함수를 이용하여 최종 회귀식을 도출하고 또한 7차 회귀식을 분산분석을 이용한 후방제거법으로 회귀계수를 제거하는 방법으로 최종 회귀식을 산정하였다. 분산분석을 이용한 후방제거법의 유의성 검정결과는 프로그래밍 R을 이용한 후방제거법의 결과와 동일한 것으로 분석되었다. 일반적으로 설계강우량의 시간분포를 위한 방법으로 사용되고 있는 Huff의 4분위 방법의 시간분포 회귀식은 회귀계수의 유의성 검정이 이루어지고 있지 않으므로 본 연구결과를 통해 설계강우량 시간분포 회귀식의 유의성 검정방법 제시 및 결과도출과정을 통해 시간분포 회귀식 산정기법으로 활용할 수 있을 것으로 사료된다.

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A simple damper optimization algorithm for both target added damping ratio and interstorey drift ratio

  • Aydin, Ersin
    • Earthquakes and Structures
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    • 제5권1호
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    • pp.83-109
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    • 2013
  • A simple damper optimization method is proposed to find optimal damper allocation for shear buildings under both target added damping ratio and interstorey drift ratio (IDR). The damping coefficients of added dampers are considered as design variables. The cost, which is defined as the sum of damping coefficient of added dampers, is minimized under a target added damping ratio and the upper and the lower constraint of the design variables. In the first stage of proposed algorithm, Simulated Annealing, Nelder Mead and Differential Evolution numerical algorithms are used to solve the proposed optimization problem. The candidate optimal design obtained in the first stage is tested in terms of the IDRs using linear time history analyses for a design earthquake in the second stage. If all IDRs are below the allowable level, iteration of the algorithm is stopped; otherwise, the iteration continues increasing the target damping ratio. By this way, a structural response IDR is also taken into consideration using a snap-back test. In this study, the effects of the selection of upper limit for added dampers, the storey mass distribution and the storey stiffness distribution are all investigated in terms of damper distributions, cost function, added damping ratio and IDRs for 6-storey shear building models. The results of the proposed method are compared with two existing methods in the literature. Optimal designs are also compared with uniform designs according to both IDRs and added damping ratios. The numerical results show that the proposed damper optimization method is easy to apply and is efficient to find optimal damper distribution for a target damping ratio and allowable IDR value.

Institutional Quality, Regulatory Environment and Microeconomic Performance: Evidence from Transition and Non-transition Developing Countries

  • Ochieng, Haggai Kennedy;Park, Bokyeong
    • East Asian Economic Review
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    • 제25권3호
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    • pp.273-309
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    • 2021
  • The development of regulatory systems varies between transition and non-transition economies. This suggests that they provide different incentives for entrepreneurial development and could have varied effects on the economy because they have different methods to deal with market failure. However, limited empirical evidence exists to prove the assumption of dichotomy. Using comprehensive data for institutional quality, labor market and financial market development, this research sought to analyze their effect on employment growth at micro level. The results show that the quality of institutions in transition economies are poorer relative to those in non-transition economies, but their financial and labor markets are more developed than the latter. Further analysis for the transition sample shows that the three variables are individually positively related with employment growth. For the non-transition sample, institutional quality and labor market flexibility bear a positive and significant effect on employment. Financial market development enters the model with a negative coefficient when regressed alone, but a joint test of significance finds that all the variables have a positive effect on employment growth. This result could imply that there is interdependence between institutional quality, labor flexibility and financial market development in firm-employment-growth relationship, or complementarity between regulations and the quality of institutions. Alternatively, this finding suggests that a stringently regulated credit market in non-transition economies have a selection effect-allocating credit only to entrepreneurs who already demonstrate strong growth potential. In sum, despite differences in the evolution of regulatory environment between the two samples, both of them complement employment growth at firm level. The overall implication of these findings is that less rigid regulations and coherent policies that are enforced with impartiality provide incentives for firms to expand.

베이지안 고차원 선형 회귀분석에서의 비교연구 (A comparison study of Bayesian high-dimensional linear regression models)

  • 신주원;이경재
    • 응용통계연구
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    • 제34권3호
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    • pp.491-505
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    • 2021
  • 본 연구에서는, 고차원상황(p ≫ n)에서의 회귀분석 모형을 고려하여 다양한 베이지안 회귀분석 방법들을 비교하였다. Spike and slab 사전분포는 고차원 베이지안 회귀분석에서 가장 많이 사용되는 사전분포 중 하나이지만, 탐험해야 하는 모형 공간이 너무 크기 때문에 유한 표본에서 좋지 않은 성능을 보일 수 있다는 문제가 있다. 이에 대한 대안으로, horseshoe 사전분포를 비롯한 다양한 연속 수축사전분포들이 제안되어 사용되고 있다. 비록 위 사전분포들 각각에 대해서는 많은 연구들이 진행되고 있지만, 이들에 대한 포괄적인 비교연구는 매우 드물게 진행되고 있다. 따라서 본 연구에서는, spike and slab 사전분포와 다양한 연속수축사 전분포들을 다양한 상황에서 비교하는 연구를 진행 하였다. 각 방법의 성능은 회귀계수 추정 측면과 변수선택 측면을 나누어 비교하였다. 최종적으로, 본 연구에서 진행된 시뮬레이션 연구에 기반하여, 사용시 몇 가지 주의점과 제안들을 제시하였다.

지역특성을 고려한 추사김정희문화상품화사업 사례분석 (A Case Study on Chusa Kimjeonghee Cultural Assets Commercialization Project Considering Regional Characteristics)

  • 정남수;윤혜려
    • 한국콘텐츠학회논문지
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    • 제19권4호
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    • pp.446-457
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    • 2019
  • 지역 경제 활성화를 위해 과거와 같은 대규모 산업화보다는 각 지역에 전래해 온 고유문화와 기술, 특정지역에 뿌리를 두고 지역주민의 삶과 밀접히 관련된 지역명 또는 지역의 상징물이나 정체성을 상품화, 수익화 하려는 지역자원 개발의 일환으로 향토산업육성사업이 시작되었으나 아직까지 향토자원의 조사에서 산업화까지 일관되게 적용될 수 있는 방법의 개발은 부족한 실정이다. 본 연구에서는 추사김정희문화상품화 사례 연구를 대상으로 지역의 특징, 고용, 수요를 바탕으로 향토자원의 발굴, 사업화 방향의 결정, 사업내용을 도출하는 과정을 정리하였다. 연구 방법과 내용은 향토자원의 평가, 관련 주요산업의 결정, 사업내용의 도출 등 세 가지 부분으로 구성된다. 그 첫 번째 작업으로 향토자원의 목록을 작성하고 관련전문가를 대상으로 중요도와 산업화 가능성에 대한 평가를 진행하여 중심자원을 설정하였다. 두 번째로 입지계수를 응용하여 사업체수와 고용인원으로 대상지역의 보조사업계수를 설정하여 주요 관련 산업을 결정하였다. 세 번째로 방문객을 대상으로 한 설문조사를 진행하여 향토자원에 대한 인지도조사와 사업내용을 결정하였다. 마지막으로 사업추진결과를 정리하였으며, 향후 향토자원산업화사업에서 고려해야 할 시사점을 도출하였다.

Assessment of genetic diversity and phylogenetic relationship of Limousin herds in Hungary using microsatellite markers

  • Szucs, Marton;Szabo, Ferenc;Ban, Beata;Jozsa, Csilla;Rozsa, Laszlo;Zsolnai, Attila;Anton, Istvan
    • Asian-Australasian Journal of Animal Sciences
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    • 제32권2호
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    • pp.176-182
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    • 2019
  • Objective: This study was conducted to investigate basic information on genetic structure and characteristics of Limousin population in Hungary. Obtained results will be taken into consideration when adopting the new breeding strategy by the Association of Hungarian Limousin and Blonde d'Aquitaine Breeders (AHLBB). Methods: Genetic diversity and phylogenetic relationship of 3,443 Limousin cattle from 16 different herds were investigated by performing genotyping using 18 microsatellite markers. Amplified DNA was genotyped using an automated genetic analyzer. Results: Mean of effective alleles ($n_e$) of the populations was 3.77. Population C had the lowest number of effective alleles (3.01) and the lowest inbreeding coefficient ($F_{IS}$) value (-0.15). Principal component analysis of estimated genetic distance ($F_{ST}$) values (p<0.000) revealed two herds (C and E) distinct from the majority of other Limousin herds. The pairwise $F_{ST}$ values of population C compared to the others (0.066 to 0.120) fell into the range of moderate genetic distance: 0.050 to 0.150, while population E displayed also moderate genetic distance ($F_{ST}$ values in range 0.052 to 0.064) but only to six populations (G, H, J, L, N, and P). $F_{ST(C-E)}$ was 0.148, all other pairs -excluding C and E herds- displayed low genetic distance ($F_{ST}$<0.049). Population D, F, I, J, K, L, N, O, and P carried private alleles, which alleles belonged to 1.1% of the individuals. Most probable number of clusters (K) were 2 and 7 determined by Structure and BAPS software. Conclusion: This study showed useful genetic diversity and phylogenetic relationship data that can be utilized for the development of a new breeding strategy by AHLBB. The results presented could also contribute to the proper selection of animals for further whole genome scan studies of Limousins.