• Journal of the East Asian Society of Dietary Life
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• v.24 no.6
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• pp.785-792
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• 2014

This study investigated the optimal mix ratio of frozen-dried loquat fruit powder and the optimun conditions for making Seolgidduk by analyzing chemical properties, rating moisture contents, color, mechanical quality characteristics and sensory characteristics Seolgidduk was made with 0, 2, 4, 6 and 8% frozen-dried loquat fruit powder, which contains functional components. Chemical analysis showed that loquat fruit powder contained of 12.87% water, 2.23% crude protein, 0.55% crude fat, 3.57% crude ash and 3.89% crude fiber. Water content of Seolgidduk containing loquat fruit ranged from 36.58~39.18%. With more loquat fruit powder L value decreased, while the 'a' value and 'b' values increased. According to scanning electronic microscopy, Seolgidduk containing frozen-dried loquat fruit powder showed weak coherence. Hardness decreased with more frozen-dried loquat fruit powder. In the sensory test, Seolgidduk with 4% loquat fruit powder was the most preferred with less sourness, proper softness, moisture and chewiness. Based on the results of this experiment, Seolgidduk with 4% loquat fruit powder showed less hardness than the control group. These results show that quality and preference increased when 4% loquat fruit powder was added to Seolgidduk. Therefore, Seolgidduk with 4% of loquat fruit powder is expected to increase quality and preference of Seolgidduk.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.16 no.2
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• pp.107-124
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• 2012

In this paper we conduct comparative statics for optimal consumption and portfolio selection of an agent who has a utility function of Epstein and Zin type. We derive the Slutsky equations and decompose the total effects of changes into the substitution effects and the income effects. We identify the role of the elasticity of intertemporal substitution and the coefficient of relative risk aversion.

• Journal of the Korean Data and Information Science Society
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• v.17 no.3
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• pp.991-997
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• 2006

Recently, Liu (2005) proposed a special type of weighting function under a given preference index level with the minimal variability similar to the minimal variability OWA operator weights problem proposed by Fuller and Majlender (2003). He solved this problem using a result of classical optimal control theory. In this note, we give a direct elementary proof of this problem without using any known results.

• Proceedings of the KOR-KST Conference
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• 2000.02a
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• pp.25-47
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• 2000

In route guidance systems fastest-path routing has typically been adopted because of its simplicity. However, empirical studies on route choice behavior have shown that drivers use numerous criteria in choosing a route. The objective of this study is to develop computationally efficient algorithms for identifying a manageable subset of the nondominated (i.e. Pareto optimal) paths for real-time vehicle routing which reflect the drivers' preferences and route choice behaviors. We propose two pruning algorithms that reduce the search area based on a context-dependent linear utility function and thus reduce the computation time. The basic notion of the proposed approach is that ⅰ) enumerating all nondominated paths is computationally too expensive, ⅱ) obtaining a stable mathematical representation of the drivers' utility function is theoretically difficult and impractical, and ⅲ) obtaining optimal path given a nonlinear utility function is a NP-hard problem. Consequently, a heuristic two-stage strategy which identifies multiple routes and then select the near-optimal path may be effective and practical. As the first stage, we utilize the relaxation based pruning technique based on an entropy model to recognize and discard most of the nondominated paths that do not reflect the drivers' preference and/or the context-dependency of the preference. In addition, to make sure that paths identified are dissimilar in terms of links used, the number of shared links between routes is limited. We test the proposed algorithms in a large real-life traffic network and show that the algorithms reduce CPU time significantly compared with conventional multi-criteria shortest path algorithms while the attributes of the routes identified reflect drivers' preferences and generic route choice behaviors well.

• Journal of the Korean Institute of Landscape Architecture
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• v.35 no.1 s.120
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• pp.28-35
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• 2007

The purpose of this study is to evaluate the visual preference factors for river scenery, which can vary according to changes in water levels, to estimate the optimal ratio of water surface/river width. Five locations on the Youngsan and Sumjin Rivers were selected as representative samples and field survey data such as channel geometry with water levels were prepared to develop the slide of river scenery, To estimate the level of satisfaction in river scenery, slides of 4 different water levels at each of the representative locations were developed through questionnaire. To analyse the correlation between the visual preference for river scenery and preference factors, a multi regression analysis method was adopted in this study. According to the results of the multi regression analysis, Factor B(Aesthetic factors) have the greatest affect on visual preferences and Factor A(A Feeling of Open space and Physical factors) affect significantly to visual preferences for river scenery. The results of analysis shows that the most preferred W/B ratio varies from 0.5 to 0.7 and this result indicates that many people prefer high levels river flow to maintain a natural and harmonious view of rivers. The results of this study will contribute to the field of river landscape design and river restoration projects in order to maximize the human being's satisfaction as a part of nature.

• Journal of Internet Computing and Services
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• v.5 no.4
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• pp.53-62
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• 2004

This paper presents a study on the optimization for brokering between cargos and ships for future e-logistics. The primary contribution of this research is that we establish an optimization model by formalizing the criteria for the brokering such as time constraints, weight constraints, and preference values between cargos and ships. Another important contribution is that we not only investigate the complexity and the tractability of the optimal brokering problem but present how to evaluate the performance of the optimization program through an experiment. We first derive the preference values between cargos and ships using the time and the weight constraints. These preference values between each pair of cargos and ships are assigned to corresponding binary decision variables as coefficients in the objective function. The optimization model selects pairs of cargos and ships in a way that the sum of the preference values is maximized while satisfying given constraints. Experiment shows that the Davis-Putnam based optimization program finds optimal solutions in reasonable time for the problems with less than 90 decision variables.

• The Korean Journal of Food And Nutrition
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• v.26 no.2
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• pp.226-233
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• 2013

The optimal amount of loquat leaf extract (LLE, $18^{\circ}$ Brix), fructose, and cream were determined to develop a rice beverage supplemented with LLE. The loquat leaves were extracted by water at $80^{\circ}C$ for 6 hrs and then concentrated to 18% of solid for 1 hr at the same temperature to extraction. To investigate the optimal concentration of the additives, the response surface methodology (RSM) was employed for the experimental design. The addition amounts of the additives were coded. Sweetness, bitterness, off-taste, color, taste preference, and total preference were affected significantly (P<0.05) by the addition of LLE, fructose, and cream. Cream masked the bitterness and off-taste. The total preference of the LLEsupplemented rice beverage showed a lower score than the commercialiy available rice beverages. To achieve the preference level of the commercial rice beverages, the regression between fructose and LLE concentration was calculated as: fructose= $0.618{\times}(LLE)^2+0.406{\times}(LLE)$. Conclusively, cream had an effect of masking the bitterness of rice milk, and the preference was highly related to the addition amount of fructose.

• Architectural research
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• v.13 no.4
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• pp.19-30
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• 2011

This investigation, based on empirical research, examined the role of complexity and order in the aesthetic experience of architectural forms. The basic assumption of this study was that perception in architectural form is a process of interpreting a pattern in a reductive way. Thus, perceptual arousal is not determined by the absolute complexity of a configuration. Rather, the actual perceived complexity is a function of the organization of the system (order). In addition, complexity and order were defined and categorized into four variables according to their significant characteristics; simple order, complex order, random complexity, and lawful complexity. The series of experiments confirmed that there is a point on the psychological complexity dimension which is optimal. By demonstrating that consensual and individual aesthetic preference can be measured to have a unimodal function of relationship with complexity, the results of the experiments indicated that complexity and orderliness are effective design factors for enhancing aesthetics of a building facade. This investigation offered a conceptual framework that relates the physical (architectural form) and psychological factors (complexity and order) operating in the aesthetic experience of building facades.

• Proceedings of the Korean Statistical Society Conference
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• 2002.11a
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• pp.175-178
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• 2002

A number of controlled selection methods, which have some advantages for practical surveys in considering controls beyond stratification, have developed throughout the last half-century. With respect to the optimization of sampling plan, it is obvious that we may use optimal controlled selection in preference to satisfactory controlled selection. However, there are currently certain restrictions on the employment of optimal controlled selection. We present further research to improve an algorithm for optimal controlled selection and to develop standard software.

• Korean Journal of Ichthyology
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• v.24 no.4
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• pp.263-271
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• 2012

A female preference is a potentially complex function relating variation in multiple male traits with her probability of accepting the most optimal individuals as a mate. If mate preference is dominantly driven by additive fitness benefits, different females tend to be congruent in the decision of choice, whereas females will not necessarily share their mate preferences if non-additive benefits more strongly operate. Here, a sequential blocked design ($4{\times}4$) was applied to experimentally assess the relative contribution of additive and non-additive components to the female mate preference with Korean rosy bitterling, Rhodeus uyekii. In a total of 48 single stimulus presentations, behavioral elements of courtship activities were analyzed to derive the 'index of female preference'. Females showed a clear preference for males with more elaborate carotenoid colors, but mated randomly with respect to male body size and other color patterns. However, they were not individually consistent in their choice of mates, suggesting that non-additive components probably contribute to the evolution of female preference.