• Journal of the East Asian Society of Dietary Life
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• v.17 no.3
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• pp.432-444
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• 2007

The purpose of this study was to investigate the differences in restaurant employees' perceptions regarding the importance of specific evaluation factors when judging wine quality. To analyze the data of the study, we employed descriptive statistical analyses, t-tests and ANOVA. The findings of the study are as follows: First, the importance and influence of the palate on evaluating wine quality attained the highest score. The nose, appearance, and 'others' also earned significant points in the respective order. Second, when we examined the servers' differences in perception about the importance of each factors on evaluating wine quality, significant distinctions were shown among males and females, and those in their 20's and 30's. Third, employees' perception about the importance of each factors also showed clear differences with regards to the wine servers' gender and experience with wine. Finally, we hope the results of this study provide useful information for the hotel restaurants and other food & beverage businesses. Specifically, this research may be used to establish helpful criteria for recommending and presenting the suitable wine items based on the customer's individual tastes and preferences.

• The Journal of the Korea Contents Association
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• v.11 no.2
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• pp.446-456
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• 2011

The purpose of the study is to understand the characteristics of consumers and to provide useful information for the wine vendors to make future sales strategy and a marketing plan according to the origin of the imported wine thorough the factors influencing consumer preferences and purchase intentions. The questionnaires were distributed to consumers who had purchased wine and 224 was collected then analysed. As a result, the origin of the wine had a significant effects on quality and risk perception when consumers evaluate products. Also, the origin of the wine had a significant on consumer's purchase intention.

• Journal of the East Asian Society of Dietary Life
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• v.18 no.1
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• pp.14-21
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• 2008

Flavor is one of the most important factors for determining wine characteristics and quality. Flavor pattern of wines(brewed from America, France, Italy, Chile, and Australia) was analyzed by the electronic nose that is equipped with 12 metal oxide sensors. In the results, the flavor pattern of wines was discriminated according to their origins by the principal component analysis(PCA). Each proportion of the first principal component score in the PCA plot was 94.79%(America), 73.62%(France), 99.06%(Italy), 96.74%(Chile), and 96.53%(Australia), respectively. Consequently, the imported wines could be practically differentiated into one from the other origins by volatile properties, suggesting that electronic nose could be successfully used for easy screening and quality evaluation of wines.

• Journal of the East Asian Society of Dietary Life
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• v.3 no.2
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• pp.165-173
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• 1993

Jung-Pyun is a traditional steamed rice bread made of fermented rice dough. A series of the Jung-Puyn samples were prepared according to the experimental design of five factors. Factors were fermentation sources(milky rice wine, activated yeast), weight of added water(60, 65, 70, 75% of rice powder), fermentation temperature(30$^{\circ}C$, 40$^{\circ}C$), fermentation times(2,3,4,5,6,12hours) and weight of added baking powder(1, 2% of rice powder). Trained panels judged the steamed rice bread samples to determine the effects of these factors on the sensory characteristics. The results of sensory evaluation revealed that the most preferable steamed rice bread on the overall eating quality was at the 70% adding water and 1% baking powder, 30$^{\circ}C$ for 5 hours incubation made by 1% addition of yeast.

• Agribusiness and Information Management
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• v.1 no.1
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• pp.37-62
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• 2009

Web usability for e-commerce sites becomes a more important issue as e-commerce gains its popularity. As for agricultural products, consumers are especially sensitive to the quality of information during transaction process. Successful e-commerce sites of agricultural products, such as Wine.com and Tesco, identified regular usability testing as part of key success factors. This paper aims to identify processes for evaluating usability for e-commerce sites of agricultural products and provide strategies to improve usability. The study aims to evaluate e-commerce usability of selected e-commerce sites using heuristic evaluation to provide objective e-commerce sites usability analysis for each transaction process.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.608-613
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• 2008

Web usability for e-commerce sites becomes a more important issue as e-commerce gains its popularity. As for fresh foods, consumers are especially sensitive to the quality of information during transaction process. Successful fresh food e-commerce sites, such as Wine. com and Tesco, identified regular usability testing as part of key success factors. This paper aims to identify processes for evaluating usability of fresh food e-commerce sites and provide recommendations to improve usability. The study aims to evaluate Web usability of selected Web sites using heuristic evaluation to provide objective Web usability analysis for each transaction process and think aloud method to understand how users actually evaluate the Web site.

• Food Science and Preservation
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• v.19 no.6
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• pp.882-892
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• 2012

This study was conducted to investigate several indicators of fruit maturity, and expert sensory evaluation was done to determine the most appropriate maturity time for the new Korea grape cultivar 'doonuri' for high quality winemaking. The grape component changed dramatically during ripening, after veraison. Considerable drops in berry firmness (<0.60 kgf/$cm^2$) and titratable acidity (<0.66%) were found at the ripening stage while the soluble solid content significantly increased in the ripening process. Most of the organic acids contained were tartaric and malic acid. The malic acid content was about twice the tartaric acid content in the fruit-growing period but was less than the tartaric acid content in the maturity period. The total anthocyanin and polyphenol contents increased sharply after veraison. In particular, the total anthocyanin and polyphenol contents reached their maximum levels when the acidity was 0.55%, and after that, there was almost no change. Correlations between anthocyanin accumulation and several factors were found in sugar 0.7811 (p<0.05), pH 0.9315 (p<0.05), and Brix/acid ratio 0.9409 (p<0.05). $Brix{\times}pH^2$ and brix/acid ratio were used as indicators of the proper maturation of the grapes when the acidity was 0.53 to 0.55%, and at sugar 17 Brix. When surveyed, the quality characteristics and sensory evaluation of the wine made using the latest harvested grapes showed the most reliable sourness. The color, aroma, and overall harmony of the wine, however, were evaluated to be the best when the wine acidity was about 0.60% or when the grape acidity was below 0.55%.

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.23-45
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• 2020

Big data is creating in a wide variety of fields such as medical care, manufacturing, logistics, sales site, SNS, and the dataset characteristics are also diverse. In order to secure the competitiveness of companies, it is necessary to improve decision-making capacity using a classification algorithm. However, most of them do not have sufficient knowledge on what kind of classification algorithm is appropriate for a specific problem area. In other words, determining which classification algorithm is appropriate depending on the characteristics of the dataset was has been a task that required expertise and effort. This is because the relationship between the characteristics of datasets (called meta-features) and the performance of classification algorithms has not been fully understood. Moreover, there has been little research on meta-features reflecting the characteristics of multi-class. Therefore, the purpose of this study is to empirically analyze whether meta-features of multi-class datasets have a significant effect on the performance of classification algorithms. In this study, meta-features of multi-class datasets were identified into two factors, (the data structure and the data complexity,) and seven representative meta-features were selected. Among those, we included the Herfindahl-Hirschman Index (HHI), originally a market concentration measurement index, in the meta-features to replace IR(Imbalanced Ratio). Also, we developed a new index called Reverse ReLU Silhouette Score into the meta-feature set. Among the UCI Machine Learning Repository data, six representative datasets (Balance Scale, PageBlocks, Car Evaluation, User Knowledge-Modeling, Wine Quality(red), Contraceptive Method Choice) were selected. The class of each dataset was classified by using the classification algorithms (KNN, Logistic Regression, Nave Bayes, Random Forest, and SVM) selected in the study. For each dataset, we applied 10-fold cross validation method. 10% to 100% oversampling method is applied for each fold and meta-features of the dataset is measured. The meta-features selected are HHI, Number of Classes, Number of Features, Entropy, Reverse ReLU Silhouette Score, Nonlinearity of Linear Classifier, Hub Score. F1-score was selected as the dependent variable. As a result, the results of this study showed that the six meta-features including Reverse ReLU Silhouette Score and HHI proposed in this study have a significant effect on the classification performance. (1) The meta-features HHI proposed in this study was significant in the classification performance. (2) The number of variables has a significant effect on the classification performance, unlike the number of classes, but it has a positive effect. (3) The number of classes has a negative effect on the performance of classification. (4) Entropy has a significant effect on the performance of classification. (5) The Reverse ReLU Silhouette Score also significantly affects the classification performance at a significant level of 0.01. (6) The nonlinearity of linear classifiers has a significant negative effect on classification performance. In addition, the results of the analysis by the classification algorithms were also consistent. In the regression analysis by classification algorithm, Naïve Bayes algorithm does not have a significant effect on the number of variables unlike other classification algorithms. This study has two theoretical contributions: (1) two new meta-features (HHI, Reverse ReLU Silhouette score) was proved to be significant. (2) The effects of data characteristics on the performance of classification were investigated using meta-features. The practical contribution points (1) can be utilized in the development of classification algorithm recommendation system according to the characteristics of datasets. (2) Many data scientists are often testing by adjusting the parameters of the algorithm to find the optimal algorithm for the situation because the characteristics of the data are different. In this process, excessive waste of resources occurs due to hardware, cost, time, and manpower. This study is expected to be useful for machine learning, data mining researchers, practitioners, and machine learning-based system developers. The composition of this study consists of introduction, related research, research model, experiment, conclusion and discussion.

• Journal of Fisheries and Marine Sciences Education
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• v.23 no.3
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• pp.410-424
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• 2011

This study was investigated for the purpose of obtaining basic data which can be applied to processing of canned sea mussel using tomato paste. Shell were washed, and then steamed and shucked. Sea mussel meat was prepared with ratio of sea mussel 90g, tomato paste sauce 65g(tomato paste 42%, gum guar 1.0%, salt 2.0%, starch syrup 2.0%, cooking wine 1%, water 52%). The sea mussel meats were packed with vacuum seamer in 301-3 can, and then sterilized for various F0 value(F0 8-12 min.) in a steam system retort at $118^{\circ}C$. The factors such as pH, VBN, amino-N, total amino acid, free amino acid, chemical composition, color value (L, a, b), texture profile, TBA value, mineral, sensory evaluation and viable bacterial count of the canned sea mussel produced with various sterilization condition(F0 8-12 min.) were measured. The same element was also measured during preservation. The results showed that the product sterilized at F0 8 min. and preserved for 90 days were the most desirable.