• 제목/요약/키워드: two-hybrid analysis

검색결과 762건 처리시간 0.026초

High Performance Hybrid Direct-Iterative Solution Method for Large Scale Structural Analysis Problems

  • Kim, Min-Ki;Kim, Seung-Jo
    • International Journal of Aeronautical and Space Sciences
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    • 제9권2호
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    • pp.79-86
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    • 2008
  • High performance direct-iterative hybrid linear solver for large scale finite element problem is developed. Direct solution method is robust but difficult to parallelize, whereas iterative solution method is opposite for direct method. Therefore, combining two solution methods is desired to get both high performance parallel efficiency and numerical robustness for large scale structural analysis problems. Hybrid method mentioned in this paper is based on FETI-DP (Finite Element Tearing and Interconnecting-Dual Primal method) which has good parallel scalability and efficiency. It is suitable for fourth and second order finite element elliptic problems including structural analysis problems. We are using the hybrid concept of theses two solution method categories, combining the multifrontal solver into FETI-DP based iterative solver. Hybrid solver is implemented for our general structural analysis code, IPSAP.

Bankruptcy predictions for Korea medium-sized firms using neural networks and case based reasoning

  • Han, Ingoo;Park, Cheolsoo;Kim, Chulhong
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 1996년도 추계학술대회발표논문집; 고려대학교, 서울; 26 Oct. 1996
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    • pp.203-206
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    • 1996
  • Prediction of firm bankruptcy have been extensively studied in accounting, as all stockholders in a firm have a vested interest in monitoring its financial performance. The objective of this paper is to develop the hybrid models for bankruptcy prediction. The proposed hybrid models are two phase. Phase one are (a) DA-assisted neural network, (b) Logit-assisted neural network, and (c) Genetic-assisted neural network. And, phase two are (a) DA-assisted Case based reasoning, and (b) Genetic-assisted Case based reasoning. In the variables selection, We are focusing on three alternative methods - linear discriminant analysis, logit analysis and genetic algorithms - that can be used empirically select predictors for hybrid model in bankruptcy prediction. Empirical results using Korean medium-sized firms data show that hybrid models are very promising neural network models and case based reasoning for bankruptcy prediction in terms of predictive accuracy and adaptability.

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Hybrid Linear Analysis Based on the Net Analyte Signal in Spectral Response with Orthogonal Signal Correction

  • Park, Kwang-Su;Jun, Chi-Hyuck
    • Near Infrared Analysis
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    • 제1권2호
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    • pp.1-8
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    • 2000
  • Using the net analyte signal, hybrid linear analysis was proposed to predict chemical concentration. In this paper, we select a sample from training set and apply orthogonal signal correction to obtain an improved pseudo unit spectrum for hybrid least analysis. using the mean spectrum of a calibration training set, we first show the calibration by hybrid least analysis is effective to the prediction of not only chemical concentrations but also physical property variables. Then, a pseudo unit spectrum from a training set is also tested with and without orthogonal signal correction. We use two data sets, one including five chemical concentrations and the other including ten physical property variables, to compare the performance of partial least squares and modified hybrid least analysis calibration methods. The results show that the hybrid least analysis with a selected training spectrum instead of well-measured pure spectrum still gives good performances, which is a little better than partial least squares.

ACCELERATED HYBRID ALGORITHMS FOR NONEXPANSIVE MAPPINGS IN HILBERT SPACES

  • Baiya, Suparat;Ungchittrakool, Kasamsuk
    • Nonlinear Functional Analysis and Applications
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    • 제27권3호
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    • pp.553-568
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    • 2022
  • In this paper, we introduce and study two different iterative hybrid projection algorithms for solving a fixed point problem of nonexpansive mappings. The first algorithm is generated by the combination of the inertial method and the hybrid projection method. On the other hand, the second algorithm is constructed by the convex combination of three updated vectors and the hybrid projection method. The strong convergence of the two proposed algorithms are proved under very mild assumptions on the scalar control. For illustrating the advantages of these two newly invented algorithms, we created some numerical results to compare various numerical performances of our algorithms with the algorithm proposed by Dong and Lu [11].

Reproductive Isolation between Moroco oxycephalus and M. lagowskii (Pisces; Cyprinidae) in Korea

  • Kang, Young-Jin;Min, Mi-Sook;Yang, Suh-Yung
    • Animal cells and systems
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    • 제4권2호
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    • pp.109-115
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    • 2000
  • To clarify taxonomic status of the two sibling species, Moroco oxycephalus and M. lagowskii reproductive isolation mechanisms were investigated at sympatric area located in Kansung-up, Kosung-gun, Kangwon-do, Korea. Genetic analysis was performed to reveal mating system and intensity of Hybridization between the two species. The frequencies of hybrids were increased since 1989, and then the observed hybrid frequencies ($H_O$) did not significantly differ from the expected hybrid ($H_E$) in 1998 and 1999. However, based on histological analysis of two parents and their hybrid s gonads, the hybridizations between M. oxycephalus and M. lagowskii produced mostly fertile females but sterile males in accordance with Haldane s rule. Although it was suspected that pre- and postmating isolation mechanisms were affected between the two species, M. oxycephalus and M. lagowskii seemed to be strongly isolated with microhabitat at sympatry until 1997. Since 1998, hybrid frequencies were increased by habitat disturbance. However, their hybrid frequencies would be reduced by postmating isolation mechanisms. Therefore, the two species are considered to be distinct species recently diverged.

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역복사 해석을 위한 혼합형 유전 알고리듬에 관한 연구 (A Study on a Hybrid Genetic Algorithm for the Analysis of Inverse Radiation)

  • 김기완;백승욱;김만영;유홍선
    • 대한기계학회논문집B
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    • 제27권10호
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    • pp.1516-1523
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    • 2003
  • An inverse radiation analysis is presented for the estimation of the boundary emissivities for an absorbing, emitting, and scattering media with diffusely emitting and reflecting opaque boundaries. The finite-volume method is employed to solve the radiative transfer equation for a two-dimensional irregular geometry. A hybrid genetic algorithm is proposed for improving the efficiency of the genetic algorithm and reducing the effects of genetic parameters on the performance of the genetic algorithm. After verifying the performance of the proposed hybrid genetic algorithm, it is applied to inverse radiation analysis in estimating the wall emissivities in a two-dimensional irregular medium when the measured temperatures are given at only four data positions. The effect of measurement errors on the estimation accuracy is examined.

PEM 연료전지 및 하이브리드 시스템의 설계변수 해석 (Design Parametric Analysis of PEM Fuel Cell and Hybrid Systems)

  • 유병준;이영덕;안국영;김동섭
    • 대한기계학회논문집B
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    • 제31권5호
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    • pp.448-456
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    • 2007
  • Performance of PEM fuel cell systems and hybrid systems combining a PEMFC with a gas turbine have been evaluated. Two different reforming methods(steam reforming and autothermal reforming) were considered. Performances of fuel cell systems with two reforming methods were compared and effects of various design parameters on the system performance were investigated. Configurations of PEM fuel cell systems with two reforming methods have been revised to accommodate a gas turbine, resulting in PEMFC/GT hybrid systems. Performance of the hybrid systems were analyzed and compared with those of PEM systems. Influences of major design parameters on the hybrid system performance were also investigated.

광 네트워크를 위한 Hybrid 스위칭 시스템의 성능 분석 (Performance Analysis of an Hybrid Switching System for Optical Networks)

  • 이규명;;;최준균
    • 대한전자공학회논문지TC
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    • 제40권10호
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    • pp.16-23
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    • 2003
  • 본 논문에서 광 네트워크에서 광 버스트 스위칭(Optical Burst Switching, OBS)과 광 회선 스위칭 (Optical Circuit Switching, OCS) 기술의 장점을 동시에 가지는 새로운 광 hybrid 스위칭(Optical Hybrid Switching) 시스템을 제안한다. 이 시스템은 들어오는 IP 트래픽을 hybrid 스위칭을 위해 짧은(short-lived) 흐름과 긴(long-lived) 흐름 구분한다. 성능 분석을 위하여 시스템을 Markovian 환경에서 단일 서버 큐로서 모델링 한다. 버스트 생성 프로세스는 two-state Markov Modulated Poisson Process (MMPP)를 따른다고 가정하고 서비스 율은 동시에 발생하는 OCS 세션의 수에 따라 변한다. OBS 버스트에 대한 평균 지연 및 큐 사이즈의 결과를 보인다.

브레이튼과 펄스 데토네이션 복합 엔진 사이클의 열역학적 성능 해석 (Thermodynamic Analysis of Hybrid Engine Cycle of Brayton and Pulse Detonation Engine)

  • 김건홍;구자예
    • 한국항공운항학회지
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    • 제15권1호
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    • pp.1-10
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    • 2007
  • When detonation is occurred, the working fluid is compressed itself, though there are no other devices that compress the fluid. As a result, an engine which uses detonation for a combustion process doesn't need moving parts so that the engine can be lighter than other engines ever exist, and such an engine is often referred to as a pulse detonation engine. Since using detonation has higher performance than using deflagration, many studies have been attempting to control and analyze the engines using detonation as combustion. The purpose of this study is to analyze the hybrid cycle which is consisted of Brayton and Pulse Detonation Engine cycle. At first, we set the theoretical basis of detonation analysis, and after that we consider two hybrid cycles; a turbojet hybrid cycle and a turbofan hybrid cycle. The more energy released, the higher detonation Mach number the detonation wave has. In general, a cycle which has a detonation process has higher performances but thermal efficiency of hybrid turbofan engine.

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형광 리포터를 활용한 효모 단백질 잡종 기법 개발 (Yeast two-hybrid assay with fluorescence reporter)

  • 박성균;서수련;황병준
    • 미생물학회지
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    • 제55권3호
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    • pp.199-205
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    • 2019
  • Yeast two-hybrid는 특정 단백질에 대한 상호작용 파트너 단백질의 선별을 위한 방법으로 개발되었다. 하지만 대규모 단백질 상호작용체 분석을 수행하기에 요구되는 노동과 대량의 한천배지 사용에 따른 문제에 의해 널리 사용되지 못하고 있다. 따라서 본 연구에서는 새로운 리포터 시스템을 yeast two-hybrid 방법에 도입하여 fluorescence-activated cell sorting (FACS) 또는 magnetic-activated cell sorting (MACS)를 이용하여 상호작용 파트너 단백질을 포함하는 효모 클론을 손쉽게 선별할 수 있도록 하였다. 새로운 리포터 시스템은 c-myc 항원 결정기가 총 10번 반복되는 형태로 효모 표면에 발현되도록 하였으며, p53과 SV40 T항원을 이용한 실험을 통하여 리포터 단백질의 정상적인 발현을 flow cytometry 분석을 통하여 확인하였다. 따라서, 새로운 리포터 시스템을 도입한 yeast two-hybrid 방법은 대규모 상호작용체 분석을 위해 필요한 노력을 현저히 줄일 수 있을 것으로 기대한다.