• Korean Journal of Agricultural Science
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• v.45 no.3
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• pp.547-559
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• 2018

Consumers are becoming increasingly interested in what kind of value their food has. Many studies have focused on consumers' preferences and willingness to pay for specific food values. However, few studies have asked consumers to consider or rank the importance of different food values. This paper determined consumers' food values by implementing the best-worst scaling approach and segmented consumers based on the relative importance of general food values that consumers place on them. Among a list of eleven food values (taste, safety, origin, appearance, price, environmental impact, naturalness, convenience, nutrition, fairness, and habit) which was compiled from previous studies on food preferences, on average, safety, nutrition, taste, and price were the most important values to consumers, whereas fairness, habit, appearance, convenience, origin, and environmental impact were the least important values. However, significant variation exists among consumers in terms of the relative importance of food values. To investigate the heterogeneity among consumers, a Latent Class Analysis was performed to classify consumers into subgroups based on responses to questions. Two latent classes were found and characterized as 'safety-nutrition' and 'taste-price'. The 'safety-nutrition' cluster represents 61% of the sample and a group of people who find safety and nutrition centered values to be the most important. Another cluster represents about 39% of the sample, and relative to the first group, this group finds price and taste values to be more important.

• Korean journal of food and cookery science
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• v.24 no.6
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• pp.763-770
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• 2008

A taste-testing method that accurately measures consumer-acceptance is critical during the course of the product development stage. Although various types of consumer-acceptance tests are available, the testing protocol appropriate for measuring the acceptance of ready-to-eat-meals (REM) has not yet been verified. In this study, various hedonic taste-testing methods (9-point hedonic scaling, best-worst scaling, open ended response) were compared for their efficiency and power in identifying the preferred REM menu of consumers. Forty-four consumers evaluated the acceptance of five types of REM menu samples consisting of a wide variety of flavors. Consumers initially used the 9-point hedonic rating method to choose the best and the worst sample among the 5 meals tested. Finally, consumers were asked to fill out open-ended comments where they could freely describe their liking and disliking of each sample. The results showed that the REM menu acceptance measured by the 9-point hedonic method that rated best-worst scaling exhibited a similar preference pattern. The open-ended response method could not provide a quantifiable acceptance data but was able to provide supplementary information regarding the limitations of the samples and therefore, provide a general idea of the direction of improvement during the product development.

• Journal of Mushroom
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• v.18 no.1
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• pp.95-99
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• 2020

The trade deficit in mushrooms has continued to increase in recent years. This study explored major issues and challenges faced by the mushroom industry to increase export, and to prioritize the current issues and challenges based on their relative importance. 11 major issues and challenges in the mushroom industry were highlighted in focus group interviews. Best-worst scaling analysis prioritized these major issues and challenges, and questionnaire surveys were completed by 31 mushroom industry experts. The results revealed that strengthening the mushroom quality and price competitiveness were the main priorities, followed sequentially by a diversification of the overseas export markets and stabilization of the domestic mushroom price.

• Journal of the Ergonomics Society of Korea
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• v.17 no.1
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• pp.67-77
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• 1998

The objective of this study is to extract information from electroencephalogram(EEG) signals with which we can discriminate mental states. Seven university students were participated in this study. Ten stimuli based on IAPS (International Affective Picture Systems) Were presented at random according to the experimental schedule. 8-channel ($O_1$, $O_2$, $F_3$, $F_4$, $F_7$, $F_8$, $FP_1$, and $FP_2$)EEG signals were recorded at a sampling rate of 204.8 Hz for visual stimuli and analyzed. After random ten sequential stimuli presentation, the subject subjectively assessed the stimulus by scaling from -5 to 5. If the stimulus was the best and the worst, it was scored 5 and -5, respectively. Only maximum and minimum scored-EEG signals within each subject were selected on the basis of subjectively assessment for analysis. EEG signals were transformed into feature objects based on scalar autoregressive model coefficients. They were classified with Discriminant Analysis for each channel. The features produced results with the best classification accuracy of 85.7 % in $O_1$ and $O_2$ for visual stimuli. This study could be extended to establish an algorithm which quantify and classify emotions evoked by visual stimulus using autoregressive models.

• Journal of the Korean Society for Library and Information Science
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• v.41 no.2
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• pp.335-357
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• 2007

There has been many studies representing intellectual structures with multidimensional scaling(MDS) However MDS configuration is limited in representing local details and explicit structures. In this paper, we identified two components of MDS mapping approach; one is MDS algorithm and the other is preparation of data matrix. Various combinations of the two components of MDS mapping are compared through some measures of fit. It is revealed that the conventional approach composed of ALSCAL algorithm and Euclidean distance matrix calculated from Pearson's correlation matrix is the worst of the compared MDS mapping approaches. Otherwise the best approach to make MDS map is composed of PROXSCAL algorithm and z-scored Euclidean distance matrix calculated from Pearson's correlation matrix. These results suggest that we could obtain more detailed and explicit map of a knowledge domain through careful considerations on the process of MDS mapping.

• JSTS:Journal of Semiconductor Technology and Science
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• v.15 no.1
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• pp.77-84
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• 2015

This paper presents the design of a low-power, low area 256-radix 16-bit crossbar switch employing a 2D Hyper-X network topology. The Hyper-X crossbar switch realizes the high radix of 256 by hierarchically combining a set of 4-radix sub-switches and applies three modifications to the basic Hyper-X topology in order to mitigate the adverse scaling of power consumption and propagation delay with the increasing radix. For instance, by restricting the directions in which signals can be routed, by restricting the ports to which signals can be connected, and by replacing the column-wise routes with diagonal routes, the fanout of each circuit node can be substantially reduced from 256 to 4~8. The proposed 256-radix, 16-bit crossbar switch is designed in a 65 nm CMOS and occupies the total area of $0.93{\times}1.25mm^2$. The simulated worst-case delay and power dissipation are 641 ps and 13.01 W when operating at a 1.2 V supply and 1 GHz frequency. In comparison with the state-of-the-art designs, the proposed crossbar switch design achieves the best energy-delay efficiency of $2.203cycle/ns{\cdot}fJ{\cdot}{\lambda}2$.

• The Korean Journal of Food And Nutrition
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• v.23 no.1
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• pp.76-83
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• 2010

This study was conducted to analyze sensory characteristics and consumer acceptance with cookies made using various levels(0, 2, 4, 6 and 8% w/w) of Chrysanthemum indicum L. powder. Ten panels assessed sensory characteristics using a 15-point hedonic scale and forty-five consumers evaluated their acceptance based on a 7-point hedonic scale and best-worst scaling. The descriptive analyses reveled that cookie flavor did not differ significantly between the 2% added sample and the control. Cookie color and after taste increased significantly, while hardness, roasted taste, and sweetness taste decreased significantly according to increasing Chrysanthemum indicum L. powder concentration. In addition, the results of consumer acceptance showed that the overall acceptability, appearance, color, flavor, and taste decreased significantly in response to increasing Chrysanthemum indicum L. powder concentration. However, color, flavor, taste and overall acceptance with cookies did not differ significantly differ between the 2% and 4% sample. Additionally, among the cookies made with Chrysanthemum indicum L. powder, the 2% sample received the highest scores. In conclusion, the sensory optimal ratio of Chrysanthemum indicum L. powder was 2% based on the descriptive analysis of sensory characteristics and the consumer-acceptance testing.

• Journal of agriculture & life science
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• v.53 no.5
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• pp.153-165
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• 2019

This paper analyzes the priorities of introducing agricultural environmental conservation practices for the successful introduction of agricultural environmental conservation programs and promotes customized agricultural environment conservation practices packages suitable for the local environment. Agricultural environmental conservation practice consists of three fields: soil, water, and air, nine sub-fields, and 30 practice skills. Using the advantages of AHP and BWS appropriately for priority analysis, three areas and nine sub-fields are measured using AHP techniques, and the practical activities of each fields are measured by priorities using BWS techniques to enhance the differentiation and completeness of research. In addition, the criteria for evaluating priorities of practical activities used 'Environmental effectiveness' and 'Technical feasibility'. As a result of the priority evaluation, the 'Soil testing and reduction of fertilizer and livestock manure application' activities were evaluated as having the highest priority. Based on the results of the priorities for these practical activities, examples of customized practical activity packages by farming type and environmental conditions were presented.