• Culinary science and hospitality research
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• v.24 no.1
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• pp.140-150
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• 2018

In this study, effects of microground coffee on the quality characteristics and acceptability of instant coffee with probiotics were investigated. A central composite design with two factors (roasting degree and dose of microground coffee) was used and ranges of roasting degree and dose were 30~50 (L value) and 5~10% respectively. Aroma preference, sweetness intensity, bitterness intensity, acidity intensity, body intensity and overall acceptability were evaluated as sensory characteristics and quadratic regression models of all the properties were significant. Especially in aroma preference and overall acceptability, the higher roasting degree and dose of microground coffee, the more aroma preference and overall acceptability of the coffee increased. And this results accorded with the object of this study to increase aroma preference and overall acceptability by blending microground coffee with instant coffee. On the other hand, 129 of aroma compounds were detected in instant coffee with microground coffee but 2,5-dimethyl-pyrazine, ethyl-pyrazine and furfural were significant in quadratic regression models. The optimal conditions were predicted by response surface methodology and desirability function approach and the optimal conditions of roasting degree and dose of microground coffee were 30(L value), 8.4%(w/w) respectively to maximize 2 sensory characteristics (overall preference, aroma preference) and 3 aroma components (2,5-dimethyl-pyrazine, ethyl-pyrazine, furfural).

• IE interfaces
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• v.1 no.1
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• pp.17-26
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• 1988

This paper describes a nonlinear goal programming approach to the optimal composition of composite solid propellant taking multiple characteristics into consideration synchronously. The nonlinear goal programming model with response functions, restrictions and the optimal value of each characteristic is developed using Scheffe's "Experiments with mixtures" and preference weighting system. Objective functions are described based on process, performance and assurance characteristics. The systematic approach to optimal composition in this study is proved efficient through a CTPB-AL-AP propellant which is one of composite solid propellant systems.

• The Journal of the Korea Contents Association
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• v.15 no.7
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• pp.21-29
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• 2015

This paper proposes a novel two-tier optimization approach for decision making in many-objective problems. Because the Pareto-optimal solution ratio increases exponentially with an increasing number of objectives, simply finding the Pareto-optimal solutions is not sufficient for decision making in many-objective problems. In other words, it is necessary to discriminate the more preferable solutions from the other solutions. In the proposed approach, user preference-oriented as well as diverse Pareto-optimal solutions can be obtained as candidate solutions by introducing an additional tier of optimization. The second tier of optimization employs the corresponding secondary objectives, global evaluation and crowding distance, which were proposed in previous works, to represent the users preference to a solution and the crowdedness around a solution, respectively. To demonstrate the effectiveness of the proposed approach, decision making for some benchmark functions is conducted, and the outcomes with and without the proposed approach are compared. The experimental results demonstrate that the decisions are successfully made with consideration of the users preference through the proposed approach.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.34 no.2
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• pp.161-169
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• 2016

This paper is intended to propose a novel approach to select an optimal site for a small-scaled artificial recharge system installation using TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) with geospatial data. TOPSIS is a MCDM (Multi-Criteria Decision Making) method to choose the preferred one of derived alternatives by calculating the relative closeness to an ideal solution. For applying TOPSIS, in the first, the topographic shape representing optimal recovery efficiency is defined based on a hydraulic model experiment, and then an appropriate surface slope is determined for the security of a self-purification capability with DEM (Digital Elevation Model). In the second phase, the candidate areas are extracted from an alluvial map through a morphology operation, because local alluvium with a lengthy and narrow shape could be satisfied with a primary condition for the optimal site. Thirdly, a shape file over all candidate areas was generated and criteria and their values were assigned according to hydrogeologic attributes. Finally, TOPSIS algorithm was applied to a shape file to place the order preference of candidate sites.

• Korean journal of food and cookery science
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• v.12 no.2
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• pp.146-152
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• 1996

Determining the optimal mixing ratio of pumpkin, water, glutinous rice powder, red bean, kidney bean in preparing Hobakjook has been attempted and on the basis of it, Hobakjook with glutinous rice powder was set to be A group, and the one that glutinous rice powder was replaced by brown glutinous rice powder for the purpose of enhancing preference and nutrition was set to be B group. A group and B group with additional 0％, 5％, 10％, 15% perilla powder of pumpkin weight was labeled as Al-A4 and Bl-B4 respectively, and then analyzed nutritionally. Optimal material mixing ratio and preference was investigated by use of sensory evluation and instrumental test. As a result, the optimal material mixing ratio was determined as pumpkin 400 g, water 60 cc, glutinous rice powder 40 g, red bean 30 g, kidney bean 30 g, salt 4 g, sugar 10 g. In sensory evaluation significant difference (P < 0.05) was shown among the samples in color., flavor.1, falvor. II and overall quality. And A3 in viscosity, A2 in color, A4 in sweetness, B2 in flavor 1, Al and B2 in flavor 11, and B2 in overall quality was preferred most. Instrumental measurement shows that B4 in viscosity and A4 in sweentness was highestly recorded and showed significant difference (p<0.05). As the addition of perilla powder increased, the viscosity and sweetness was increased. In color measurement A4 in L value, A3 in a value, and Bl in b value was highestly recorded. And as perilla powder was added, L value and a value was increased while b value was decreased. Color in sensory evaluation was significantly correlated to b value in instrumental measurement. In summary, Hobakjook with brown glutinous rice was superior to the one with glutinous rice in preference and proximate composition, and as the addition of perilla powder was increased, proximate composition was increased but preference was rather decreased, and Hobakiook with 5％ addition of perilla powder to brown glutinous rice powder was preferred most.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.6
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• pp.1027-1037
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• 1994

While the value of unidirectional delay was used as the preference of a node in the previous research on the performance of the leader, this paper proposes the value of bidirectional delay as a preference of a node and analyzies election strategies in the case of the various number of candidates through simulation. We made a comparative study to evaluate the quality of leaders chosen by the bidirectional preference and unidirectional preference in terms of relative error and from the standpoint of the probability of choosing the optimal leader.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.36 no.1
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• pp.64-69
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• 2013

In ubiquitous computing, shared environments adjust themselves so that all users in the environments are satisfied as possible. Inevitably, some of users sacrifice their satisfactions while the shared environments maximize the sum of all users' satisfactions. In our previous work, we have proposed social welfare functions to avoid a situation which some users in the system face the worst setting of environments. In this work, we consider a more direct approach which is a preference based clustering to handle this issue. In this approach, first, we categorize all users into several subgroups in which users have similar tastes to environmental parameters based on their preference information. Second, we assign the subgroups into different time or space of the shared environments. Finally, each shared environments can be adjusted to maximize satisfactions of each subgroup and consequently the optimal of overall system can be achieved. We demonstrate the effectiveness of our approach with a numerical analysis.

• The Journal of the Acoustical Society of Korea
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• v.38 no.2
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• pp.139-144
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• 2019

Various room acoustic parameters and their optimal values were proposed and verified as proper interpretations to the listeners' preference of concert hall sounds. However the listening environment has been changed since they were developed, and the listeners' preference may not be the same among countries of different cultural backgrounds. Actual listeners' preference should be applied to the design of a new concert hall. A survey on the listening preference was carried out for 22 music experts. A room acoustical design process was proposed which made the acoustical environment of a concert hall as close to the listeners' preferences.

• Journal of Advanced Marine Engineering and Technology
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• v.36 no.6
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• pp.823-829
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• 2012

Data communications networks at sea in the future can be modelled by overlapped MANET networks with Broadband Wireless Access carriers. A novel routing scheme (CPLR) is proposed in this paper, which finds out an optimal route by selecting an optimal carrier for each hop in routes based on carrier preferences of each application, and locations of ships as well. As distances between each ships and destination ships are considered in this scheme, routing can be done much faster. Performance is compared with that of the CPR (only Carrier Preference-based Routing Scheme), and it shows some improvements.

• Journal of Mechanical Science and Technology
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• v.19 no.5
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• pp.1080-1086
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• 2005

The preliminary design optimization of multi-stage spur gear reduction units has been a subject of considerable interest, since many high-performance power transmission applications (e.g., automotive and aerospace) require high-performance gear reduction units. There are multiple objectives in the optimal design of multi-stage spur gear reduction unit, such as minimizing the volume and maximizing the surface fatigue life. It is reasonable to formulate the design of spur gear reduction unit as a multi-objective optimization problem, and find an appropriate approach to solve it. In this paper an interactive physical programming approach is developed to place physical programming into an interactive framework in a natural way. Class functions, which are used to represent the designer's preferences on design objectives, are fixed during the interactive physical programming procedure. After a Pareto solution is generated, a preference offset is added into the class function of each objective based on whether the designer would like to improve this objective or sacrifice the objective so as to improve other objectives. The preference offsets are adjusted during the interactive physical programming procedure, and an optimal solution that satisfies the designer's preferences is supposed to be obtained by the end of the procedure. An optimization problem of three-stage spur gear reduction unit is given to illustrate the effectiveness of the proposed approach.