• Journal of the Korean Society of Food Science and Nutrition
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• v.30 no.6
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• pp.1102-1107
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• 2001

The mixing conditions of kochujang added pumpkin extract were optimized by response surface methodology. The organoleptic color of pumpkin kochujang showed the maximum score for the mixing condition of 433.63 g pumpkin extract, 81.76 g red pepper powder and 17.03 g meju powder. The organoleptic aroma of pumpkin kochujang revealed the maximum score for the condition of 437.07g pumpkin extract, 83.65 g red pepper powder and 11.90 g meju powder. The organoleptic taste of pumpkin kochujang showed the maximum score in 382.94 g pumpkin extract, 63.44 g red pepper powder and 13.10 g meju powder. The optimum mixing conditions for overall acceptability of pumpkin kochujang were 442.04 g pumpkin extract, 62.58 g red pepper powder and 16.30 g meju powder.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.5
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• pp.899-908
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• 2021

Since the modern weapon system is composed of a complex system, it is quite difficult to derive the priority of performance improvement factors. In addition, research on the method for prioritizing quantitative performance improvement factors considering the opinions of stakeholders is insufficient. In this study, in order to quantitatively derive the priorities of performance improvement factors for K1 tanks and K2 tanks, a survey was conducted with experts with experience in tank development, and the preface data was analyzed using AHP, scoring method, and TOPSIS methods. As a result, priorities were quantitatively derived. The results of this study are expected to be used as decision-making indicators for stakeholders in the future weapon system development and performance improvement stage.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.6
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• pp.9-19
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• 2018

As the recent developments in the game industry and people's interest in game streaming become more popular, non-professional gamers are also interested in games and buying them. However, it is difficult to judge which game is the most enjoyable among the games released in dozens every day. Although the game sales platform is equipped with the game recommendation function, it is not accurate because it is used as a means of increasing their sales and recommending users with a focus on their discount products or new products. For this reason, in this paper, we propose a game recommendation system based on the users ratings, which raises the recommendation satisfaction level of users and appropriately reflect their experience. In the system, we implement the rate prediction function using collaborative filtering and the game recommendation function using Naive Bayesian classifier to provide users with quick and accurate recommendations. As the result, the rate prediction algorithm achieved a throughput of 2.4 seconds and an average of 72.1 percent accuracy. For the game recommendation algorithm, we obtained 75.187 percent accuracy and were able to provide users with fast and accurate recommendations.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.113-127
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• 2021

This study classifies review attributes into ratings, number of comments and image information in online shopping mall to verify their impact on brand attitude and purchase decision and e-WOM intention. Use SPSS 23.0 for frequency analysis, factor analysis and regression analysis. The results showed that review attributes have a positive effect on brand attitudes, purchase decision and e-WOM intention, but the number of comments has not affect on purchase decision. Brand attitude has a positive effect on purchase decision and e-WOM intention. Brand attitude has media effect in the relationship between ratings, image information and purchase decision, and in the relationship between review attributes and e-WOM intention. As these results, consumers don't always like to have a lot of comments. and should allow to focus on high ratings and photo reviews as much as possible when writing reviews.

• The Korean Journal of Applied Statistics
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• v.35 no.2
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• pp.265-283
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• 2022

MovieLens data consists of recorded movie evaluations that was often used to measure the evaluation score in the recommendation system research field. In this paper, we provide additional information obtained by clustering user-specific genre preference information through movie evaluation data and movie genre data. Because the number of movie ratings per user is very low compared to the total number of movies, the missing rate in this data is very high. For this reason, there are limitations in applying the existing clustering methods. In this paper, we propose a convex clustering-based method using the pairwise fused penalty motivated by the analysis of MovieLens data. In particular, the proposed clustering method execute missing imputation, and at the same time uses movie evaluation and genre weights for each movie to cluster genre preference information possessed by each individual. We compute the proposed optimization using alternating direction method of multipliers algorithm. It is shown that the proposed clustering method is less sensitive to noise and outliers than the existing method through simulation and MovieLens data application.

• Journal of dental hygiene science
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• v.14 no.3
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• pp.332-341
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• 2014

This study was aimed to define the predicting factor account for the Korean Dental Hygienist Licensing Examination (KDHLE) by analyzing the academic grade score and the KDHLE score. The subjects included 185 graduates (2007, 2009, 2011~2014 graduates). The ratio of successful applicants of the subjects was 99.2%. The academic grade scores were calculated to grade point average, the KDHLE was scoring marks out of 300 (200 of written examination score and 100 of performance evaluation score) for correlation and regression analysis. The graduation grades and comprehensive examination scores correlated significantly with the KDHLE written examination scores (correlation coefficient=0.612), and KDHLE total score (correlation coefficient=0.258). First~third grade score and comprehensive examination scores correlated significantly with KDHLE total scores (p<0.05). Especially, there are the highest correlated between second comprehensive examination scores and KDHLE total scores (correlation coefficient=0.455), the last score in time sequence is the important factors account for the KDHLE total score. But there is no correlation between academic grade score and KDHLE performance evaluation scores, therefore it is necessary to study for determine the reason. The results of multiple linear regression analysis, second grade score and the average score of comprehensive examination were the main predicting factors account for the KDHLE total score, the explanatory power was 31.6%. Our results show that KDHLE total and written examination scores are predicted by the academic grade score reliably, but not the KDHLE performance evaluation scores. Further studies are needed to determine relationship between dental hygiene education and KDHLE.

• Journal of Korea Technology Innovation Society
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• v.12 no.2
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• pp.360-387
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• 2009

In this paper, we analyse empirically the effects of internal financing on investment of innovative small and medium sized enterprises listed on Kosdaq Market of Korea Exchange. The main results of this study can be summarized as follows. Free cash flows by proxy variables of internal financing have the significant effects on R&D investment as well as fixed asset investment. Internal financing has much more effects on R&D investment of general enterprises listed on Kosdaq Market than that of venture enterprises listed on Kosdaq Market, and on R&D investment of innovative enterprises than that of non-innovative enterprises. Internal financing has more effects on asset-counted R&D investment than cost-counted R&D investment. Asset-counted R&D investment is counted in intangible assets on Balance Sheet, and cost-counted R&D investment is counted in cost on Income Statement. Internal financing has more effects on R&D investment of financial constrained enterprises than that of financial unconstrained enterprises. Financial constraints is measured by credit ratings. Faulkender and Smith (2007) emphasize that low credit ratings enterprises are more likely to face financial constraints, and they rely largely on internal financing.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.301-307
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• 2020

In recent years, a recommendation system is introduced in many different fields with the beginning of the 5G era and making a considerably prominent appearance mainly in books, movies, and music. In such a recommendation system, however, the preference degrees of users are subjective and uncertain, which means that it is difficult to provide accurate recommendation service. There should be huge amounts of learning data and more accurate estimation technologies in order to improve the performance of a recommendation system. Trying to solve this problem, this study proposed a movie recommendation system based on Fuzzy-AHP and Word2vec. The proposed system used Fuzzy-AHP to make objective predictions about user preference and Word2vec to classify scraped data. The performance of the system was assessed by measuring the accuracy of Word2vec outcomes based on grid search and comparing movie ratings predicted by the system with those by the audience. The results show that the optimal accuracy of cross validation was 91.4%, which means excellent performance. The differences in move ratings between the system and the audience were compared with the Fuzzy-AHP system, and it was superior at approximately 10%.

• Journal of the Korean Society of Food Science and Nutrition
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• v.31 no.3
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• pp.417-422
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• 2002

Salting conditions on organoleptic properties and rheology of Chinese cabbage were optimized and monitored by four-dimensional response surface methodology. Experimental conditions were decided in the ranges of salt concentration 8∼12%, salting time 5∼25 hr and salting temperature 5∼15$^{\circ}C$. The salted Chinese cabbage with experiment design was measured on organoleptic and physical properties. The organoleptic form of the salted Chinese cabbage showed maximum score in 11.28% of salt concentration, 9.75 hr of salting time and 12.81$^{\circ}C$ of salting temperature. The organoleptic taste was maximized in 11.19% of salt concentration, 11.38 hr of salting time and 13.58$^{\circ}C$ of salting temperature. The organoleptic mouth-feel was maximized in 11.24% of salt concentration, 11.71 hr of salting time and 13.57$^{\circ}C$ of salting temperature. The organoleptic palatability was maximized in 11.52% of salt concentration, 12.86 hr of salting time and 13.07$^{\circ}C$ of salting temperature. In rheological properties of salted Chinese cabbage, hardness and chewiness decreased with the increase of salt concentration.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.11
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• pp.7403-7413
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• 2015

This study was to investigate the factors influencing job satisfaction of nurses in long-term care hospitals focusing on burnout and burden. The participants were 206 nurses recruited from long-term care hospitals in B metropolitan city and C city. Data were collected from January to March, 2014 and analyzed using SPSS WIN 18.0 program. The frequency of experience was $1.65{\pm}0.42$, which is 4~5 times per month and once or twice per week in the problematic behavior in dementia. The frequency of burden was $1.46{\pm}0.48$, which means one nurse can solve the problematic behaviors in dementia. Burnout was $2.53{\pm}0.61$, and job satisfaction was $2.87{\pm}0.45$. Negative correlations were found between burden and job satisfaction (r=-.256, p=.003), and between burnout and job satisfaction (r=-.718, p<.001). A factor influencing job satisfaction was burnout (${\beta}$=-.735), which explained 57%. It is suggested that Intervention programs should be developed to reduce burnout and burden, and to increase job satisfaction for nurses.