• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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• pp.899-902
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• 1993

A neural model predictive control strategy combining a neural network for plant identification and a nonlinear programming algorithm for solving nonlinear control problems is proposed. A constrained nonlinear optimization approach using successive quadratic programming combined with neural identification network is used to generate the optimum control law for complex continuous chemical reactor systems that have inherent nonlinear dynamics. The neural model predictive controller (MNPC) shows good performances and robustness. To whom all correspondence should be addressed.

• Interdisciplinary Bio Central
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• 제3권1호
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• pp.3.1-3.16
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• 2011

Investigation of the genetic functions in complex biological systems is a challenging step in recent year. Hence, several valuable and interesting research projects have been developed with novel ideas to find out the unknown functions of genes or proteins. To validate the applicability of their novel ideas, various approaches are built up. To date, the most promising and commonly used approach for discovering the target proteins from biological system using small molecule is well known a forward chemical genetics which is considered to be more convenient than the classical genetics. Although, the forward chemical genetics consists of the three basic components, the target identification is the most challenging step to chemical biology researchers. Hence, the diverse target identification methods have been developed and adopted to disclose the small molecule bound protein. Herein, in this review, we briefly described the first two parts chemical toolbox and screening, and then the target identifications in forward chemical genetics are thoroughly described along with the illustrative real example case study. In the tabular form, the different biological active small molecules which are the successful examples of target identifications are accounted in this research review.

• Computers and Concrete
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• 제27권2호
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• pp.175-184
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• 2021

The incorporation of pozzolans to Portland cement pastes adds value in the development of new materials for the construction industry. This study presents a new computational method, complementary to the pozzolanic identification by compressive strength at 28 days method, for supporting the validation of pozzolanic mortars for non-structural purposes. An algorithm capable of classifying the pixels of micrographs of specimens fragments was developed. Therefore, comparative analyses were generated from fractional Gaussian representations in four intervals of the same amplitude that indicated the predispositions to form larger void indices (intervals 1 and 2). The results showed that the computational method indicators are in accordance with the physical and chemical indicators.

• Korean Chemical Engineering Research
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• 제46권3호
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• pp.486-491
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• 2008

상업용 12인치 급속가열장치(RTP)의 다변수 고급제어기를 개발하기 위하여 열전대가 부착된 웨이퍼를 대상으로 다변수 모델인식을 수행하였다. 웨이퍼에는 7개의 열전대가 설치되어 있으며 10개의 텅스텐-할로겐 램프 그룹으로 가열을 할 수 있다. 모델인식 실험과정에서 웨이퍼의 휨을 최소화하며 최종적으로 10-입력 7-출력의 균형 잡힌 상태공간 모델을 얻기 위한 모델인식방법을 제안하였다. 또한 넓은 온도영역에서 복사에 의한 비선형성을 가장 효과적으로 상쇄시킬 수 있는 출력변수 정의방법을 제안하였다. 600, 700, $800^{\circ}C$ 부근의 정상상태에서 실험을 수행하여 모델을 추정한 결과 상태의 차수는 80~100, 모델출력은 $y=T(K)^2$으로 결정하는 것이 바람직하며, 이때 one-step-ahead 온도예측 오차의 제곱평균은 0.125~0.135 K 정도로 나타났다.

• 대한화학회지
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• 제17권1호
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• pp.70-71
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• 1973

• Bulletin of the Korean Chemical Society
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• 제23권11호
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• pp.1647-1650
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• 2002

• Bulletin of the Korean Chemical Society
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• 제23권10호
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• pp.1473-1476
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• 2002

• Bulletin of the Korean Chemical Society
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• 제23권10호
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• pp.1373-1374
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• 2002

• Bulletin of the Korean Chemical Society
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• 제29권12호
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• pp.2531-2532
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• 2008

• Bulletin of the Korean Chemical Society
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• 제25권9호
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• pp.1423-1426
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• 2004