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FEA–Based Optimal Design of Permanent Magnet DC Motor Using Internet Distributed Computing
이철균,최홍순 한국전기전자학회 2009 전기전자학회논문지 Vol.13 No.3
The computation time of FEA(finite element analysis) for one model may range from a few seconds up to several hours according to the complexity of the simulated model. If these FEA is used to calculate the objective and the constraint functions during the optimal solution search, it causes very excessive execution time. To resolve this problem, the distributed computing technique using internet web service is proposed in this paper. And the dynamic load balancing mechanisms are established to advance the performance of distributed computing. To verify its validity, this method is applied to a traditional mathematical optimization problem. And the proposed FEA-based optimization using internet distributed computing is applied to the optimal design of the permanent magnet dc motor(PMDCM) for automotive application.
Microbial Degradation of PolycyclicAromatic Hydrocarbons in Soil byBacterium-Fungus Co-cultures
이철균,김정동 한국생물공학회 2007 Biotechnology and Bioprocess Engineering Vol.12 No.4
Two fungi and the phenanthrene-degrading bacterial strain Rhodococcus sp. IC10 were used as inocula for the bioremediation of petroleum hydrocarbon-contaminated soil from a manufactured gas plant area. The two fungi, which were previously isolated from different hydrocarbon-contaminated soil samples, were identified as Aspergillus terreus and Penicillium sp. In addition, two types of co-cultures which consist of fungal species including A. terreus or Penicillium sp. with Rhodococcus sp. IC10 were applied. After a 10-week incubation period, the concentrations of anthracene, phenanthrene, and pyrene were totally biodegraded by days 68, 54, and 64, for the 16 polycyclic aromatic hydrocarbons (PAH’s) tested. The ecotoxicity of the soil after bioremediation did not show any effect on the survival of Daphnia magna (24 h-old-daphnids). However, the toxicity on seed germination of Brassica alba and the oxidoreductase activity of Bacillus cereus declined after 5- and 10-weeks of incubation, respectively. Co-cultures of Penicillium sp. and Rhodococcus sp. IC10 revealed the best efficiency at reducing ecotoxicity.
Pattern Search Method와 결합된 니칭 유전 알고리즘
이철균 동의대학교 산업기술개발연구소 2001 産業技術硏究誌 Vol.15 No.-
Niching method enables the genetic algorithm(GA) to be applied to the problems that require the location of multiple solutions in the search space, but these methods have fatal disadvantages. The main disadvantages are that the methods require too much calculation of object function. In this paper, a niching method using restricted competition selection (RCS) combined with a pattern search method (PSM) is proposed to identify multiple niches more efficiently and fast in a multimodal domain. The validity of the proposed method is verified by the simulation of test function.
종속형 퍼지 뉴럴 네트워크를 이용한 네트워크 제어시스템의 시간 지연 예측
이철균,한창욱 한국전기전자학회 2019 전기전자학회논문지 Vol.23 No.3
In networked control systems, time-varying delay of the transmitting signal is inevitable. If the transmission delay islonger than the fixed sampling time, the system will be unstable. To solve this problem, this paper proposes the methodto predict the delay using logic-based fuzzy neural networks, and the predicted time delay will be used as a samplingtime in the networked control systems. To verify the effectiveness of the proposed method, the delay data collected fromthe real system are used to train and test the logic-based fuzzy neural networks. 네트워크 제어 시스템에서는 송신 신호의 시간 변동 지연이 불가피하다. 전송 지연이 고정된 샘플링 시간보다 길면 시스템이 불안정해진다. 이 문제를 해결하기 위해 본 논문은 논리 기반의 퍼지 신경망을 이용하여 지연을 예측하는 방법을 제안하며, 예측된 시간 지연은 네트워크 제어 시스템의 샘플링 시간으로 사용된다. 제안된 방법의 효과를 검증하기 위해, 실제 시스템에서 수집된 지연 데이터를 사용하여 논리 기반 퍼지 신경 네트워크를 훈련하고 테스트한다.
Photobioreactor Engineering: Design and Performance
이철균,서인수 한국생물공학회 2003 Biotechnology and Bioprocess Engineering Vol.8 No.6
This review summarizes the recent advances in high-density algal cultures in the field of algal biotechnology. Photobioreactor engineering for economical and effective utilization of algae and its products has made impressive and promising progress. Bioprocess engineers have expedited the design and the operation of algal cultivation systems. Many of them in use today are open systems due to cost considerations, and closed photobioreactors have recently attracted a considerable attention for the production of valuable biochemicals or for special applications. For high-density cultures, the optimization of environmental factors in the photobioreactors have been explored, including light delivery, CO2 and O2 gas transfer, medium supply, mixing and temperature. It is expected that further advanced photobioreactor engineering will enable the commercialization of noble algal products within the next decade.