• Title/Summary/Keyword: Mead

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Production of Fermented Honey Wine (벌꿀발효주의 제조)

  • Rhim, Jong-Whan;Kim, Dong-Han;Jung, Soon-Teck
    • Korean Journal of Food Science and Technology
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    • v.29 no.2
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    • pp.337-342
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    • 1997
  • In order to compare methods of making a mead and a melomel, changes of alcohol contents, reducing sugar, soluble solids, pH and total acidity during fermentation of a mead and Japanese plum melomel was investigated. Fermentation rate of the melomel were much faster than the mead. Reducing sugar and soluble solids were continuously decreased until the 16th day of fermentation, while alcohol contents were increased continuously during the same period. After fermentation of 21 days, alcohol contents of the mead was reached 7.6%, while that of the Japanese plum melomel reached 12.4%. pH and total acidity were not changed considerably during the whole fermentation period. Clear honey wines with transmittance of 99.4% were obtained by membrane filtration. In conclusion, the method of making melomel using the osmotically extracted fruit juice with honey was found to be more advantageous than the method of making a simple mead.

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Numerical Experiment for the Properties of Nelder-Mead Simplex Algorithm Convergence (Nelder-Mead 심플렉스 알고리듬의 수렴에 관한 수치실험)

  • Hyun, Chang-Hun;Lee, Byeong-Ki
    • Journal of Industrial Technology
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    • v.22 no.B
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    • pp.35-44
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    • 2002
  • To find the optimal solution as rapidly and exactly as possible with Nelder-Mead simplex algorithm, the present values of the reflection, expansion, contraction and/or shrink parameters of this algorithm are needed to be changed at appropriate time during the search process. The reflection parameter is selected in this study in order to be changed because reflection, expansion and contraction process can be simultaneously effected by only this parameter. Two independent indices for determining whether the present value of the reflection parameter of this algorithm should be changed or not during the search process are suggested in this study. Those indices were made of the equations of Nelder-Mead simplex algorithm's convergence criterion and Dennis-Wood's convergence criterion, respectively. It is appeared that the optimal solution can be find with smaller numbers of objective function evaluation than the original Nelder-Mead's one with fixed parameter when the those indices are used during the search process. and the more remarkable reduction effect of the number of an objective function evaluation can be obtained when the latter index is used.

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Comparative Experiment of FMINS with Nelder-Mead and Dennis-Woods Method (Nelder-Mead, Dennis-Woods Method와 MATLAB의 FMINS의 비교실험)

  • Choe, Yeong-Il;Hyun, Chang-Hun
    • Journal of Industrial Technology
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    • v.19
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    • pp.361-368
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    • 1999
  • The Nelder-Mead simplex algorithm has become on of the most widely used methods for nonlinear unconstrained optimization, since 1965. Recently, this algorithm has been reevaluated and many papers on this algorithm are being published. The MATLAB computer software, highly renown in engineering, also provides the Nelder-Mead algorithm and the Denis-Woods modification with FMINS function. The authors made C++ code of these algorithms and compared with FMINS on the convergence behavior and the exactness of solutions. It shows that MATLAB's FMINS is inferior to author's C++ code. So, FMINS should be corrected for every user.

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Brewing and Quality Characteristics of Korean Honey Wine (Mead) with a Variety of Honey and Yeast (다양한 벌꿀과 효모를 이용한 벌꿀와인의 제조 및 품질 특성)

  • Lee, Dae Hyoung;Kang, Heui-Yun;Lee, Yongseon;Cho, Chang-Hui;Park, In-Tae;Kim, Heui-Dong;Lim, Jae-Wook
    • Korean Journal of Food Science and Technology
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    • v.44 no.6
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    • pp.736-742
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    • 2012
  • In this study, the brewing and quality characteristics of a variety of honey and yeast strains in Korea were investigated. After fermenting acacia honey, chestnut honey, citrus honey, and mixed flower honey using commercial yeast, the quality changes during fermentation were investigated. Chestnut honey wine (mead) and mixed flower mead showed the highest ethanol contents of 11.9 and 11.3%, respectively after fermenting for 8 days at $25^{\circ}C$. Acacia mead and citron (Chinese lemon) mead showed 5.0 and 8.2% ethanol contents, respectively. Mixed mead, which fermented with acacia honey and mixed flower honey, in order to advance sensory properties, showed the best sensory properties, generating 10.9% ethanol, while another product with citron honey and mixed flower honey generated 11.1% of ethanol but with a lower sensory value. When adding corium peels to the mixed mead of acacia honey and mixed flower honey, the ethanol content was not increased by addition of corium peels into mixed mead, but its total acceptability was increased by addition of 2% corium peels. To check the mead clarification, it was treated with 0.6% of bentonite and filtered; then, its turbidity was observed over a storage period. The safe result for precipitation was shown at the condition of storing at $10^{\circ}C$ for 15 days with 0.24 NTU (Nepthelometric Turbidity Unit).

Parameter Estimation of NSRPM using a Nelder-Mead Method (Nelder-Mead 기법을 이용한 NSRPM의 매개변수 추청 연구)

  • Cho, Hyun-Gon;Kim, Gwang-Seob;Yi, Jae-Eung
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.710-710
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    • 2012
  • 구형펄스모형(Rectangular Pulse Model)에서 반영하지 못하는 강우의 군집특성을 잘 반영하는 NSRPM(Neyman-Scott Rectangular Pulse Model) 강우생성 모형은 수자원 분야에 널리 쓰이고 있다. 일반적으로 NSRPM의 5개의 매개변수를 추정하는 최적화기법으로 DFP(Davidon-Fletcher-Powell)과 유전자알고리즘(Genetic Algorithm)을 사용하고 있다. 그러나 DFP는 주어진 초기 값에 따라 민감하며 각 반복 단계마다 헤시안행렬(Hessian Matrix)을 계산하여야 하며 추정된 전체의 해가 국지해에 수렴 할 수 있는 단점이 있다. 유전자 알고리즘을 DFP와 다르게 헤시안 행렬을 사용하지 않고 최적화를 할 수 있다는 장점이 있으나 시간이 오래 걸리는 단점이 있다. 이에 본 연구에서는 이러한 단점을 보완, 강화 하기위해서 최적화 기법으로 반복 단계마다 미분계산이 필요하지 않고 빠른 속도로 계산이 가능한 Nelder-Mead 알고리즘 이용하여 NSRPM매개변수를 추정하고 정확도를 비교하였다. 표 1은 각 기법을 이용하여 추정된 매개변수를 이용하여 생성한 강우의 통계특성과 관측된 통계특성의 상대오차를 나타낸 것이다. 괄호 안 숫자는 중첩되지 않는 누적시간을 나타낸다. 상대오차는 다음과 같다(식 1). 분석결과 Nelder-Mead 기법이 1시간의 평균, 공분산과 6시간 분산 등 전체적으로 GA, DFP보다 높은 정확도를 보였다.

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Analysis of the Applicability of Parameter Estimation Methods for a Stochastic Rainfall Model (추계학적 강우모형 매개변수 추정기법의 적합성 분석)

  • Cho, HyunGon;Kim, GwangSeob;Yi, JaeEung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.34 no.4
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    • pp.1105-1116
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    • 2014
  • A stochastic rainfall model, NSRPM (Neyman-Scott Rectangular Pulse Model), is able to reflect the cluster characteristics of rainfall events which is unable in the RPM (Rectangular Pulse Model). Therefore NSRPM has advantage in the hydrological applications. The NSRPM consists of five model parameters and the parameters are estimated using optimization techniques such as DFP (Davidon-Fletcher-Powell) method and genetic algorithm. However the DFP method is very sensitive in initial values and is easily converge to local minimum. Also genetic algorithm has disadvantage of long computation time. Nelder-Mead method has several advantages of short computation time and no need of a proper initial value. In this study, the applicability of parameter estimation methods was evaluated using rainfall data of 59 national rainfall networks from 1973-2011. Overall results demonstrated that accuracy in parameter estimation is in the order of Nelder-Mead method, genetic algorithm, and DFP method.

Parameter Identifications of Roll Maneuvering Coefficients Based on Sea Trial Data (해상 실측 자료를 이용한 횡동요 조종 계수 식별)

  • C.K. Kim
    • Journal of the Society of Naval Architects of Korea
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    • v.35 no.2
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    • pp.29-37
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    • 1998
  • Linear equations of motion for submersibles are one of the rest important design parameters, which are used as a governing equation for the shape design and the controller design. But, the estimated maneuvering coefficients in equations of motion by using empirical formulae, theoretical calculations or model tests might have some errors. Therefore the maneuvering coefficients should be verified from sea trial test. In this study, parallel extended Kalman filter method, Nelder & Mead Simplex method and genetic algorithm were applied to the parameter identification of roll maneuvering coefficients based on sea trial data. As a result, it was verified that Nelder & Mead Simplex method gave the most satisfactory results for the mathmatical models and the sea trial data used in this study.

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Analysis of the applicability of parameter estimation methods for a stochastic rainfall generation model (강우모의모형의 모수 추정 최적화 기법의 적합성 분석)

  • Cho, Hyungon;Lee, Kyeong Eun;Kim, Gwangseob
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.6
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    • pp.1447-1456
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    • 2017
  • Accurate inference of parameters of a stochastic rainfall generation model is essential to improve the applicability of the rainfall generation model which modeled the rainfall process and the structure of rainfall events. In this study, the model parameters of a stochastic rainfall generation model, NSRPM (Neyman-Scott rectangular pulse model), were estimated using DFP (Davidon-Fletcher-Powell), GA (genetic algorithm), Nelder-Mead, and DE (differential evolution) methods. Summer season hourly rainfall data of 20 rainfall observation sites within the Nakdong river basin from 1973 to 2017 were used to estimate parameters and the regional applicability of inference methods were analyzed. Overall results demonstrated that DE and Nelder-Mead methods generate better results than that of DFP and GA methods.

Fractional Order Modeling and Control of Twin Rotor Aero Dynamical System using Nelder Mead Optimization

  • Ijaz, Salman;Hamayun, Mirza Tariq;Yan, Lin;Mumtaz, Muhammad Faisal
    • Journal of Electrical Engineering and Technology
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    • v.11 no.6
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    • pp.1863-1871
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    • 2016
  • This paper presents an application of fractional order controller for the control of multi input multi output twin rotor aerodynamic system. Dynamics of the considered system are highly nonlinear and there exists a significant cross-coupling between the horizontal and vertical axes (pitch & yaw). In this paper, a fractional order model of twin rotor aerodynamic system is identified using input output data from nonlinear system. Based upon identified fractional order model, a fractional order PID controller is designed to control the angular position of level bar of twin rotor aerodynamic system. The parameters of controller are tuned using Nelder-Mead optimization and compared with particle swarm optimization techniques. Simulation results on the nonlinear model show a significant improvement in the performance of fractional order PID controller as compared to a classical PID controller.

Design optimization of spot welded structures to attain maximum strength

  • Ertas, Ahmet H.
    • Steel and Composite Structures
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    • v.19 no.4
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    • pp.995-1009
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    • 2015
  • This study presents design optimization of spot welded structures to attain maximum strength by using the Nelder-Mead (Simplex) method. It is the main idea of the algorithm that the simulation run is executed several times to satisfy predefined convergence criteria and every run uses the starting points of the previous configurations. The material and size of the sheet plates are the pre-assigned parameters which do not change in the optimization cycle. Locations of the spot welds, on the other hand, are chosen to be design variables. In order to calculate the objective function, which is the maximum equivalent stress, ANSYS, general purpose finite element analysis software, is used. To obtain global optimum locations of spot welds a methodology is proposed by modifying the Nelder-Mead (Simplex) method. The procedure is applied to a number of representative problems to demonstrate the validity and effectiveness of the proposed method. It is shown that it is possible to obtain the global optimum values without stacking local minimum ones by using proposed methodology.