• 산업경영시스템학회지
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• 제38권2호
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• pp.108-119
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• 2015

This study intends to propose a non-oriented DEA based game cross-efficiency approach for supplier selection. With a discussion on the choice of DEA models and approaches that are most appropriate for supplier selection, we propose a game cross efficiency model based upon the non-oriented variable returns-to-scale RAM DEA by adapting the existing game cross efficiency model based upon the oriented constant returns-to-scale CCR DEA. We develop the RAM game cross efficiency model and a convergent iterative solution procedure to find the best game cross efficiency scores that constitute a Nash equilibrium. We illustrate the proposed model with two data sets of supplier selection, and demonstrate that significantly different results are obtained when compared with the existing approaches.

• Journal of Communications and Networks
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• 제18권3호
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• pp.320-326
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• 2016

In existing literature on multiple-input multiple-output (MIMO) relaying communication systems, antenna selection is often implemented by maximizing the channel capacity or the output single-to-noise ratio (SNR). In this paper, we propose an energy-efficient low-complexity antenna selection scheme for MIMO relaying communication systems. The proposed algorithm is based on beamforming and maximizing the Frobenius norm to jointly optimize the transmit power, number of active antennas, and antenna subsets at the source, relaying and destination. We maximize the energy efficiency between the link of source to relay and the link of relay to destination to obtain the maximum energy efficiency of the system, subject to the SNR constraint. Compared to existing antenna selection methods forMIMO relaying communication systems, simulation results demonstrate that the proposed method can save more power in term of energy efficiency, while having lower computational complexity.

• 대한전기학회논문지:전력기술부문A
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• 제48권3호
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• pp.190-196
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• 1999

Continuation power flow has been developed to remove the ill-condition problem caused by singularity of power flow Jacobian at and near at steady-state voltage instability point in conventional power flow. Continuation power flow consists of predictor and corrector. In prddictor, the direction vector at the resent solution is caluculated and the initial guess of next solution is determined at the distance of step length. The selection of step length is a very important part, since computational speed and convergence performance are both greatly affected by the choice of the step length. This paper presents the practical step length selection algorithm using the reactive power generation sensitivith. In numulation, the proposed algorithm is compared with step length selection algorithm using TVI(tangent vector index).

• Journal of information and communication convergence engineering
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• 제21권2호
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• pp.130-138
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• 2023

The selection of the correct examination variables for diagnosing heart disease provides many benefits, including faster diagnosis and lower cost of examination. The selection of inspection variables can be performed by referring to the data of previous examination results so that future investigations can be carried out by referring to these selected variables. This paper proposes a model for selecting examination variables using an Artificial Bee Swarm Optimization method by considering the variables of accuracy and cost of inspection. The proposed feature selection model was evaluated using the performance parameters of accuracy, area under curve (AUC), number of variables, and inspection cost. The test results show that the proposed model can produce 24 examination variables and provide 95.16% accuracy and 97.61% AUC. These results indicate a significant decrease in the number of inspection variables and inspection costs while maintaining performance in the excellent category.

• 미생물학회지
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• 제50권1호
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• pp.1-7
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• 2014

생명체에서 비천연 아미노산을 단백질의 특정 위치에 삽입하는 방법으로 orthogonal suppressor tRNA와 여기에 비천연 아미노산을 특이적으로 결합시킬 수 있는 유전자 변형된 aminoacyl-tRNA synthetase (ARS)가 활용되고 있다. 이 기술개발을 위해서는 돌연변이를 유발한 ARS library로부터 비천연 아미노산만을 특이적으로 결합시킬 수 있는 변형된 ARS를 탐색하기 위한 선별시스템이 필요하다. 본 논문에서는 대장균에서 작용하는 2단계로 구성된 새로운 선별시스템을 개발하였다. 먼저 양성선별 시스템은 27번 잔기를 amber 코돈으로 치환한 Chloramphenicol acetyl transferase 유전자로 구성되어 있으며, 이유전자의 amber suppression에 의해 chloramphenicol 배지에서 생존함에 따라 활성을 나타내는 ARS를 최고 $9.0{\times}10^5$배로 농축할 수 있었다. 반면 음성선별 시스템은 대장균의 Topoisomerase II의 기능을 억제하는 단백질을 암호화하는 control of cell death B (ccdB) 유전자의 N-말단 앞에 3개의 amber 코돈을 삽입하여 제작하였다. 이 음성선별 시스템을 가진 대장균에 orthogonal pair인 Saccharomyces cerevisiae tyrosyl-tRNA synthetase (Scc TyrRS)와 amber suppressor tRNA를 형질전환하면 amber suppression으로 CcdB가 발현되어 대장균의 성장이 억제되는 것을 확인하였으며, 천연 아미노산에 대한 특이성을 가진 ARS를 효과적으로 제거하는 것을 관찰하였다. 따라서, 양성선별 및 음성선별 시스템을 순차적으로 거침으로써 무작위적으로 아미노산에 대한 특이성을 변형시킨 ARS 라이브러리로부터 비천연 아미노산을 suppressor tRNA에 특이적으로 결합하는 유전자 변형 ARS를 탐색하는데 유용하게 사용될 수 있을 것이다.

• Asian-Australasian Journal of Animal Sciences
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• 제29권5호
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• pp.640-645
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• 2016

The objective of this study was to evaluate the present conventional selection program of a swine nucleus farm and compare it with a new selection strategy employing genomic enhanced breeding value (GEBV) as the selection criteria. The ZPLAN+ software was employed to calculate and compare the genetic gain, total cost, return and profit of each selection strategy. The first strategy reflected the current conventional breeding program, which was a progeny test system (CS). The second strategy was a selection scheme based strictly on genomic information (GS1). The third scenario was the same as GS1, but the selection by GEBV was further supplemented by the performance test (GS2). The last scenario was a mixture of genomic information and progeny tests (GS3). The results showed that the accuracy of the selection index of young boars of GS1 was 26% higher than that of CS. On the other hand, both GS2 and GS3 gave 31% higher accuracy than CS for young boars. The annual monetary genetic gain of GS1, GS2 and GS3 was 10%, 12%, and 11% higher, respectively, than that of CS. As expected, the discounted costs of genomic selection strategies were higher than those of CS. The costs of GS1, GS2 and GS3 were 35%, 73%, and 89% higher than those of CS, respectively, assuming a genotyping cost of $120. As a result, the discounted profit per animal of GS1 and GS2 was 8% and 2% higher, respectively, than that of CS while GS3 was 6% lower. Comparison among genomic breeding scenarios revealed that GS1 was more profitable than GS2 and GS3. The genomic selection schemes, especially GS1 and GS2, were clearly superior to the conventional scheme in terms of monetary genetic gain and profit.

• 한국동물학회지
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• 제26권2호
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• pp.95-106
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• 1983

Drosophila melanogaster의 Oregon-R 계통과 lethal free 집단을 대상으로 connected test tube apparatus를 사용하여 보행행동에 관한 rapid와 slow 행동을 방향성도태의 방법으로 15세대 동안에 걸쳐 도태하였다. 한편 10세대째부터 natural selection을 행하여 유전적 효과를 분석하였다. 1. 보행행동의 rapid와 slow 성질은 초기세대에서부터 뚜렷한 도태효과를 나타내어 제 7세대 이후에 각각 selection plateau에 달하였다. 2. 방향성 도태를 10세대 동안 실시한 후 realized heritability를 계산한 결과 rapid 성질은 $9\\sim14%$, slow 성질은 $11\\sim16%$로서 rapid행동보다 slow 행동의 유전율이 다소 높게 나타났다. 3. Rapid 성질을 지배하는 유전자와 slow 성질을 지배하는 유전자의 우열관계를 밝히기 위한 hybridization 실험결과 slow 유전자가 rapid 유전자에 대하여 partial dominance의 효과가 있었다. 4. 10세대 동안에 걸쳐 방향성 도태를 실시한 후 natural selection을 5세대 동안 실시한 결과 rapid 성질은 단 5세대만에 neutral의 상태 (6.5)로 복원되었으나 slow 성질은 모집단의 보행지수와 비교하여 전혀 변화가 없었다. 실험결과로 미루어 rapid와 slow 형질은 polygenic system에 의하여 control 되는 양적 형질임을 알았다. 한편 rapid 유전자는 natural selection에 의한 homeostasis의 효과가 있으나 slow 행동은 소수의 major gene에 의하여 지배되는 것을 알았다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 추계학술대회 논문집 전력기술부문
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• pp.162-164
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• 2007

This paper presents a HVDC site selection algorithm to increase transfer capability using VSC HVDC system which can control active power as well as reactive power. Using normal powerflow results and simple index $k_r$ the HVDC site selection algorithm is enhanced and more tightly-coupled transmission lines are identified in a domain of generators.

• Management Science and Financial Engineering
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• 제1권1호
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• pp.67-90
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• 1995

In planning an assembly system, choosing the proper assembly sequence is one of the most important decisions because it significantly affects the costs associated with the assembly process. This paper deals with the selection of assembly sequences in flexible assembly systems. The selection criterion is the minimization of makespan to complete all assembly products. This problem is formulated as a "modified FAS scheduling problem" (MFASSP) and its scheduling procedure is described. The experimental results show that the procedure is very efficient for both quality of solution and computation time.

• 경영과학
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• 제13권2호
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• pp.147-161
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• 1996

Due-date is an important factor in Flexible Manufacturing System scheduling. Even though most of researchers have focused part selection and loading problem using fixed due-date assignment rules, FMSs consist of multi-function machines which facilitate alternative processes. This research investigates interactions of three dispatching mechanisms, three NSS (Next Station Selection) rules and four due-date assignment rules using simulation. Both cost-based and time-based performance measures are considered in this research.