• Food Science and Preservation
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• v.20 no.3
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• pp.386-393
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• 2013

This study was conducted to investigate the change in quality attributes of fresh-cut potatoes with heat and browning inhibitor treatment (CW: dip in the cold water for 30 sec at $4^{\circ}C$, HW: dip in the water for 60 sec at $55^{\circ}C$, AA: dip in the 0.1% solution of ascorbic acid for 60 sec at $4^{\circ}C$, HA: dip in the 0.1% solution of ascorbic acid for 60 sec at $55^{\circ}C$) during storage at $5^{\circ}C$. During storage, fresh-cut potatoes treated with HA showed the lowest value in surface color. PPO and PAL activities of fresh-cut potatoes treated with HA were gradually increased during storage. Hardness, weight loss, soluble solids content and moisture content had no significant difference between the treatments. In sensory acceptance, fresh-cut potatoes treated for HA marked the best quality. Conclusively, heat and browning inhibitor treatment showed the positive effect on browning inhibition while maintaining the quality of fresh-cut potatoes.

• Korean Journal of Environment and Ecology
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• v.26 no.3
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• pp.463-471
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• 2012

Objective of this study is to provide basic information for developing more differentiated and targeted forest healing policy and Korean medical healing programs grounded on consumer preference for forest based Korean medical healing tourism products. The internet survey(CAWI) by percentage quota sampling with 400 Seoulite ages over 30 by the age, area, and gender was conducted, and 317 samples were used for a final analysis. 61.5% of the Seoulite associated 'forest bath/walking in the woods/tree' with an image of a forest based Korean medical healing tourism product, and preference for the product and the intention to use were positive at the percentages of 72.9% and 67.5%, respectively. Preferred areas were Seoul/Gyeonggi-do(53.5%) and Gangwon-do(38.8%). 'Stress solving and refreshment', 'taking a forest bath and a walk', and 'maintaining and promoting health' were the main purposes of the use. As for a therapy, 'walking therapy' was most preferred, and 'ergotherapy' was the next. First priority as for a use facility was 'healing trail', and 'professional medical facility' ranked second. Although important decision attributes were ' cost of use', 'food', and 'friendliness of medical staff', all the other sets of attributes related to use convenience, quality of medical service and tourism activities also recorded high, which forecasts higher consumer expectation for the product. As the result showing differences in consumer preference by the demographic segmentation, differentiated and segmented consumer needs should be considered when planing and managing a product. The scope of the study is limited to a demographic segmentation which is a basic stage of understanding consumer preference, therefore more detailed future researches on complicated and multi-dimensional consumer needs are required.

• International Area Studies Review
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• v.20 no.2
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• pp.141-172
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• 2016

The aim of this study was to view Korean Hallyu stars, the advertisement models of Korean cosmetics brands, as human brands in the Chinese cosmetics market. Furthermore, this study attempted to verify whether the attributes of human brands, such as reliability, professionalism, attraction, intimacy, similarity and favorable impression, affect Chinese consumers' affection toward Korean celebrities, and whether such Chinese consumers recognize the authenticity of the products, sellers, and companies of Korean cosmetics brands advertised by Korean stars. The results of empirical analysis indicated that among the attributes of Korean stars, the advertisement models of Korean cosmetics companies, Chinese consumers' affection toward Korean stars was positively affected by reliability, attraction and similarity, but not by professionalism, intimacy and favorable impression. Furthermore, results showed that the consumers' affection toward Korean stars positively affected the authenticity of the brands advertised by the celebrities.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.1-23
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• 2018

From the 21st century, various high-quality services have come up with the growth of the internet or 'Information and Communication Technologies'. Especially, the scale of E-commerce industry in which Amazon and E-bay are standing out is exploding in a large way. As E-commerce grows, Customers could get what they want to buy easily while comparing various products because more products have been registered at online shopping malls. However, a problem has arisen with the growth of E-commerce. As too many products have been registered, it has become difficult for customers to search what they really need in the flood of products. When customers search for desired products with a generalized keyword, too many products have come out as a result. On the contrary, few products have been searched if customers type in details of products because concrete product-attributes have been registered rarely. In this situation, recognizing texts in images automatically with a machine can be a solution. Because bulk of product details are written in catalogs as image format, most of product information are not searched with text inputs in the current text-based searching system. It means if information in images can be converted to text format, customers can search products with product-details, which make them shop more conveniently. There are various existing OCR(Optical Character Recognition) programs which can recognize texts in images. But existing OCR programs are hard to be applied to catalog because they have problems in recognizing texts in certain circumstances, like texts are not big enough or fonts are not consistent. Therefore, this research suggests the way to recognize keywords in catalog with the Deep Learning algorithm which is state of the art in image-recognition area from 2010s. Single Shot Multibox Detector(SSD), which is a credited model for object-detection performance, can be used with structures re-designed to take into account the difference of text from object. But there is an issue that SSD model needs a lot of labeled-train data to be trained, because of the characteristic of deep learning algorithms, that it should be trained by supervised-learning. To collect data, we can try labelling location and classification information to texts in catalog manually. But if data are collected manually, many problems would come up. Some keywords would be missed because human can make mistakes while labelling train data. And it becomes too time-consuming to collect train data considering the scale of data needed or costly if a lot of workers are hired to shorten the time. Furthermore, if some specific keywords are needed to be trained, searching images that have the words would be difficult, as well. To solve the data issue, this research developed a program which create train data automatically. This program can make images which have various keywords and pictures like catalog and save location-information of keywords at the same time. With this program, not only data can be collected efficiently, but also the performance of SSD model becomes better. The SSD model recorded 81.99% of recognition rate with 20,000 data created by the program. Moreover, this research had an efficiency test of SSD model according to data differences to analyze what feature of data exert influence upon the performance of recognizing texts in images. As a result, it is figured out that the number of labeled keywords, the addition of overlapped keyword label, the existence of keywords that is not labeled, the spaces among keywords and the differences of background images are related to the performance of SSD model. This test can lead performance improvement of SSD model or other text-recognizing machine based on deep learning algorithm with high-quality data. SSD model which is re-designed to recognize texts in images and the program developed for creating train data are expected to contribute to improvement of searching system in E-commerce. Suppliers can put less time to register keywords for products and customers can search products with product-details which is written on the catalog.

• Asia Marketing Journal
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• v.21 no.2
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• pp.73-98
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• 2019

As information and communication technology continue its remarkable development, the exchange of information online becomes as prevalent and frequent as face-to-face communication in daily life. Therefore, the management and application of WOM (word of mouth) practices will become more important than ever to companies. Currently, there are various types of communication channels for online WOM, and each channel has its own unique traits. Most of the previous research studies online WOM by examining the information inside a single communication channel, but this research chooses two different communication channels and analyzes the effects of online WOM with each channel's unique characteristics. More specifically, this research focuses on the expectation that the effects of information from Twitter and blogs on product sales may differ because Twitter and blogs, two different communication channels for online WOM, have their own unique traits. Our particular aim is to perform an in-depth examination on the effects of communication channel's volume and valence on product sales, two important attributes of online WOM. Furthermore, while most of the empirical research focuses on online WOM and analyzes its effect on markets of temporary experience goods, such as movies and books, this research highlights focuses on the automobile market, a durable goods market. The results of our analysis are as follows: First, regarding blogs, a positive valence significantly and positively affects the sales of products, and this result indicates that consumers are influenced more by the emotional aspect of a product presented in a post than by the number of blog posts. Second, regarding Twitter, the volume of online WOM significantly and positively affects sales, an indication that as the number of posts increase, the sales increase. Through this research, we suggest that even those firms that sell durable goods can increase sales through the management and application of online WOM. Moreover, according to the characteristics of communication channels, the effects of online WOM on sales differ. As a practical implication of this research, we suggest that companies can and should create marketing strategies appropriate to their targeted communication channels.

• Journal of Forest and Environmental Science
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• v.24 no.3
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• pp.127-135
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• 2008

The mission of the Forest Inventory and Analyis (FIA) program of the Forest Service, U.S. Department of Agriculture, is to conduct the national forest inventory of the United States of America for purposes of estimating the area of forest land; the volume, growth, and removal of forest resources; and the health of the forest. Users of FIA data, estimates, and related products include land managers, policy and decision-makers, forest industry, environmental organizations, and university researchers. To accomplish its mission, the FIA program has established a sampling design with an intensity of approximately one permanent plot per 2,400 ha across the entire country. Depending on the region of the country, each plot is remeasured at intervals of five or 10 years. The program releases data annually and reports estimates at the county level for each state every five years. Due to budgetary constraints and natural variability among plot observations, sufficient numbers of plots cannot be measured to satisfy precision guidelines for the estimates of many variables unless the estimation process is enhanced using ancillary data. Classified satellite imagery has been demonstrated to be a source of ancillary data that can be used with stratified estimation techniques to increase the precision of estimates with little corresponding increase in costs. A crucial factor restricting the utility of FIA data is that the exact locations of inventory plots cannot be released to the public. Thus, users are generally not able to obtain estimates for small areas or for their own areas of interest if exact plot locations are required. To compensate, satellite imagery, inventory plot data, and the k-Nearest Neighbors technique are being used to construct Internet-based maps of forest attributes from which estimates for arbitrary user-defined areas of interest may be obtained.

• Korean journal of food and cookery science
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• v.31 no.5
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• pp.676-685
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• 2015

This study tried to develop Siraegi by boiling it down in soy seasoning sauce with excellent sensory attributes and evaluate the quality characteristics in order to enhance the value of traditional agricultural products, dried radish leaves. Sugar content of the seasoning sauce were finally established at 30% (w/v) compared with the starch syrup, which was added to the sauce through sensory evaluation among four groups, 0%, 30%, 60% and 100%. The texture (breaking strength) of Siraegi which was boiled for 30 minutes in water with baking powder was reduced by showing softening effect ranging from 7.6% to 42.1% as the amount of added baking powder was increased. The color of braised Siraegi produced with prepared a seasoning sauce and different content of baking powder, the brightness significantly decreased with an increase of baking powder. The reduction effects of breaking strength ranged from 25.6% to 43.9%, resulting a significant difference. The pH of braised Siraegi with a seasoning sauce significantly increased from 5.71 to 6.04 as the amount of added baking powder was increased, while its acidity was decreased. Sensory evaluation showed significant values for hardness and toughness as the values dropped when compared with the control (p<0.001), and overall acceptability of the group with adding 0.2% baking powder was best (p<0.001). In conclusion, baking powder could be considered as softening agent shorting the cooking time and improvement of the acceptability. Furthermore, it was expected that the newly developed soy sauce barised Siraegi using the dried radish leaves would be successfully utilized by side dishes in the food preparation industry.

• Korean Journal of Community Nutrition
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• v.13 no.1
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• pp.69-79
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• 2008

This study was designed to develop the strategy plans for the customer satisfaction on foodservice in the senior care facilities. For this, we examined the level of the customer satisfaction and foodservice quality. Additionally, the association between service quality, customer satisfaction, and social, psychological, physical factors of the aged were tested. Data from convenience samples from 3 senior care facilities were collected by using a questionnaire. Exploratory factor analyses were completed on 20 attributes for the food and service quality and 7 items for the social and psychological states of the aged, respectively. Cronbach's a was estimated for reliability, and Pearson correlation and multiple regression analysis were used for statistical analyses. The level of the satisfaction on foodservice was 4.01 of 5.0. The satisfaction on foodservice did not show the significant differences by gender, education level, BMI, and socio-psychological satisfaction. But the foodservice quality and the satisfaction showed significant difference by income and physical problem, and the goal of life of the eldely, respectively. Multiple regression analyses revealed that the determinants of the customer satisfaction on foodservice were the core quality of product, confidence, professionalism of employees and secondary quality of products. Especially, the kindness of employee is the most important attribute of the foodservice. Based on these results, we can set the strategy plans as follow: (1) the introduction of the foodservice evaluation system (2) the deployment of the event activities for offering fun to the customer (3) the continuous training of employees for ensuring the professional and kind service system, and (4) the introduction of selective menu system and take-out service of menu.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.3
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• pp.373-384
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• 1999

The purposes of this study were 1) to test the differences between two groups who have high and low purchase of apparel in low-price retailing concerning consumers' beliefs and attitude toward low-prce retailing 2) to identify differences between these two groups in type of information search and use of information sources and 3) to investigate differences between department store and low-price retailing in consumers' satisfaction toward products and purchase frequencies of apparel items and differences between two groups in demographic variables. The data were collected via a self-administeered questionnaire from 474 femail adults in Seoul Korea and analyzed by factor analysis t-test and paired t-test. The results of this study were as follows : First based on a series of t-test and paired t-test. the results showed that those who had a high purchase of apparel in low-price retailing had significantly higher belief scores on all of the five store attributes and a more favorable attitude toward low-price retailing than did those who had low purchase. Second those who had high purchase of apparel in low-price retailing had significantly higher scores on ongoing and prepurchase information search and on use of mass media information and interpersonal information source than did those who had low purchase. Third in case of high purchase consumers of apparel in low-price retailing there were not found significant differences between department store and low-price retailing there were not found significant differences between department store and low-price retailing in purchase frequency on man's and women's casual wear of department stores than low-price retailing. However low purchase consumers of apparel in low-price retailing revealed significantly higher purchase frequency on all of seven apparel items of department stores than low-price retailing. Finally there were significant differences between two groups in demographic variables. The papers discussed theoretical implications as well as manageral implications.

• Korean Journal of Agricultural Science
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• v.40 no.2
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• pp.131-137
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• 2013

The inhibitory effect of citrus peel extract, onion peel extract, calcium lactate and phosvitin on microbial growth was investigated in seasoned chicken breast meat during aerobic storage at $4^{\circ}C$, $10^{\circ}C$ and $20^{\circ}C$. Citrus peel and onion peel extract significantly improved (p<0.05) the microbial quality of the sample by reducing the initial counts of the microbial flora compared to control and other two treatments. Data clearly revealed that the counts of the total aerobic bacteria significantly increased with the increase in storage temperature. The shelf life of all samples stored under $20^{\circ}C$ was less than 6 days, while the shelf life of citrus and onion treatment can be extended more than 9 days at $4^{\circ}C$ and more than 6 days at $10^{\circ}C$ in aerobic storage condition. These results indicated that citrus and onion peel extracts are efficient treatment methods to prevent microbial spoilage of seasoned chicken products during storage at $4^{\circ}C$. However, there was an adverse effect of addition of citrus and onion peel extract on several sensory attributes which need to be improved by reformulation of seasoning.