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This paper deals with estimating the acid concentration of pickling process using the Volterra inputs. To estimate the acid concentration, the whole pickling process is represented by the grey box model consists of the white box dealing with known system and the black box dealing with unknown system. Because there is a possibility of nonlinear term in the unknown system, the Volterra series are used to estimate the acid concentration. For the white box modeling, the acid tank solution level and concentration equations are used, and for the black box modeling, the acid concentration is estimated using the Volterra Least Mean Squares (LMS) algorithm and Least Squares (LS) algorithm. The LMS algorithm has the advantage of the simple structure and the low computation, and the LS algorithm has the advantage of lowest error. The simulation results compared to the measured data are included.
전통식물한약재에 대한 데이터베이스, 한국식물자원에 대한 문헌 및 선행연구 결과에 근거해 선정한 6가지의 식물한약재(연교, 소목, 형개, 황련, 소엽, 오매)의 에탄올(70%) 추출물 중에서 오매 추출물이 Helicobacter pylori의 urease 활성에 가장 강한 억제력을 나타내었다. 극성이 다른 용매를 사용한 회분식 용매추출과 칼럼 크로마토그래피를 이용한 3단계 분리공정을 통하여 오매 추출물에 함유된 유효성분을 분리·정제하였다. NMR 분석에 의해 정제된 오매 추출물에 함유된 활성성분이 ursolic acid로 확인되었다. 본 실험결과는 오매에 함유된 이 성분이 항생제를 대신하여 H. pylori 제거에 활용될 수 있음을 시사하였다. Urease activity of Helicobacter pylori was most strongly inhibited by extract of Mume Fructus among ethanol (70%, v/v) extract of 6 herbal materials selected from our previous work, database on traditional herbal materials, and literature data on Korean plant resources. Active compounds in the extract of Mume Fructus were separated by batch extraction, and further purified by chromatography in a silica gel column and an octadecyl silica gel column using solvents of different polarity. By NMR analysis of the last chromatographic fraction we identified ursolic acid as the active compound of urease inhibition. The result suggests that this component in Mume Fructus can possibly be used for the eradication of H. pylori.
In order to reduce the green-house gas exhaustion, International Maritime Organization (IMO) has been reinforcing carbon gas regulations. Due to the regulations, a lot of competitions for designing Eco ship in the shipbuilding industry are progressing now. It is faced with the necessity of reducing hull weight by combining automated systems for optimal compartment arrangement with hull structural design. Most researches on optimum structural design method have been consistently in progress and applied to minimize weight and cost of mid-ship section in preliminary ship design stage based on analytical structural analysis method on fixed compartment arrangement. In order to reduce design period and to improve international technical competitiveness by shortening the period of hull structural design and enhancing design accuracy, it has been felt necessity to combine optimized compartment arrangement with optimum design of ship structure based on the international regulations and rules. So in this study, the automated design algorithm for longitudinal members has been developed to combine automated algorithm of compartment arrangement with hull structural design system for oil tanker. The SeaTrust-Hullscan software developed by Korean Register is used to perform ship structural design for mother ship and selected design cases. The effect of weight reduction is verified with comparison of ship weight between mother ship and the cases suggested in this study.
Recently, some novel researches regarding the state estimation for power distribution system have been focused on the dynamic state estimation algorithm due to trend abrupt changes in the distribution system such as actions of prosumers. The previous works studied the Kalman filter for nonlinear system such as extended Kalman filter, unscented Kalman filter. They assume that the state transient model follows smoothing model of the previous states. However, it is hard to set the smoothing coefficient for the estimated states. Thus, this paper proposes the mathematical model of state transient model of power distribution system. Based on the proposed mathematical model, extended Kalman filter algorithm is adopted for dynamic state estimation. All jacobian matrices for the extended Kalman filter is derived as a function of system states, and the proposed algorithm is verified by using IEEE 15 test bus.