• Journal of Industrial Convergence
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• v.15 no.2
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• pp.27-36
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• 2017

In this study, we analyzed service quality factors of O2O delivery app based on Kano model and survey, and classified service quality into several dimensions. As a result of the analysis, the one dimensional quality factors were accurate information transmission, variety of restaurants, diversity of payment methods, diversity of menu selection, discomfort resolution, kindness of service, taste and quality of food, hygiene and cleanliness, Attractive quality factors such as updated information, reliable reviews, various ordering methods, fast delivery, brand image, discount point payment and accumulation. Although the must-be quality factor did not appear, it turned out that the discomfort resolution was close to the must-be quality factor. The indifferent quality factors were informational services, events and promotions. The O2O delivery app market is continuing to grow and competition is getting more and more intense. The results of this study will help O2O delivery app vendors to establish strategies to focus on certain quality of service factors.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.510-513
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• 2010

Color is basically composed of hue, saturation and value. Many objects are made up with color. When people see color, they feel different emotion because of different combination of hue, saturation and value of different colors. Thus, people feel different feeling about the taste of food depending on its color. Thus, by analyzing what color makes people feel tasty about food, we can make food to look more delicious. When people take pictures of food, theyusually do not consider this into account. However if we apply this technology into taking pictures of food, we can make the food look more delicious. This technology can be applied when people want to upload pictures of food in blog, homepage and twitter and so on. In this paper, we analyze the feelings of color of people and then choose the best color combination to present food. After that we change the original image into the new one based on the analysis of color. This way, we can reflect each user's preference.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.277-280
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• 2021

Recently as various contents are mass produced based on high accessibility, the media contents market is more active. Users want to find content that suits their taste, and each platform is competing for personalized recommendations for content. For an efficient recommendation system, high-quality metadata is required. Existing platforms take a method in which the user directly inputs the metadata of an image. This will waste time and money processing large amounts of data. In this paper, for media hyperpersonalization recommendation, keyframes are extracted based on the YCrCb color model of the video based on movie trailers, movie genres are distinguished through supervised learning of artificial intelligence and In the future, we would like to propose a utilization plan for generating metadata.

• The Korean Journal of Community Living Science
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• v.19 no.4
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• pp.497-507
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• 2008

This study investigated relationships between the importance and satisfaction of rice-based menu selection attributes at family restaurants. For data collection, a total of 250 copies of questionnaires were distributed to 4-year college students who had an experience of a rice-based menu at casual dining restaurants, and finally 221 surveys (88.4%) among them were analyzed by using SPSS Win ver. 11.5. Twenty selection attributes were used to test the level of importance and satisfaction for rice-based menu. The factor analysis identified six dimensions of the importance of rice-based menu selection attributes; variety of items, menu information, recommendation & atmosphere, food quality, preferred menu, and price. Also, five dimensions of satisfaction were identified as nutrition & taste, menu information, preferred menu & atmosphere, variety of items, and cooking. Canonical correlation analysis revealed that preferred menu factor of importance was highly correlated with preferred menu and restaurant atmosphere factor of satisfaction of rice-based menu selection. The managerial implications of these results for rice-base menu selection attributes are as follows: There seems to be a need to develop a variety of rice-based menus, because rice-based menus tend to be considered as an additional menu, not a main course. Aggressive marketing and communication strategies are necessary to position rice-based menu as a main course for college students and as a major maket segment to family restaurants.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.849-852
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• 2013

These fermented food has been increased interest to people's health in recent years. Factors which have taste, storability and trophism of fermented food is affected food of material, temperature, humidity and pH. But fermented food has yet not been established of model equation for the change in pH. If they that seller and consumer can know the status and quality, customer could increase credibility and consumption-oriented about fermented foods. In this paper, we obtain model equation through measured PH of fermented foods. So, model equation is offered platform about maturity of fermented foods. In order to confirm the usefulness of the proposed model equation, we tested the change in PH about a kimchi and a rice wine which is fermented food of Korea representative.

• Journal of Plant Biotechnology
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• v.43 no.3
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• pp.311-316
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• 2016

The efficacy of plant breeding has been enhanced by application of molecular markers in population screening and selection. Pepper (Capsicum annuum L.) is a major staple crop that is economically important with worldwide distribution. It is valued for its spicy taste and medicinal effect. The aim of this study was to discover single nucleotide polymorphisms (SNPs), microsatellite markers information, and percentage sharing through orthologous analysis of pepper-specific pungency-related genes. Here, we report the results of transcriptome analysis and microsatellite markers for four pepper varieties that possess a pungency-related gene. Orthologous analyses was performed to identify species-specific pungency-related genes in pepper, Arabidopsis thaliana L., potato (Solanum tuberosum L.), and tomato (Solanum lycopersicum L.). Advancements in next-generation sequencing technologies enabled us to quickly and cost-effectively assemble and characterize genes to select molecular markers in various organisms, including pepper. We identified a total of 9762, 7302, 8596, and 6886 SNPs for the four pepper cultivars Blackcluster, Mandarine, Saengryeg 211, and Saengryeg 213, respectively. We used 454 GS-FLX pyrosequencing to identify microsatellite markers and tri-nucleotide repeats (54.4%), the most common repeats, followed by di-, hexa-, tetra-, and penta-nucleotide repeats. A total of 5156 (15.9%) pepper-specific pungency-related genes were discovered as a result of orthologous analysis.

• Journal of KIISE:Software and Applications
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• v.31 no.10
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• pp.1356-1363
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• 2004

We propose Tangible Media Control System (TMCS), which allows users to manipulate media contents with physical objects in an intuitive way. Currently, most people access digital media contents by exploiting GUI. However, It provides limited manipulations of the media contents. The proposed system, instead of mouse and keyboard, adopts two types of tangible objects, i.e RFID-enabled object and tracker-embedded object. The TMCS enables users to easily access and control digital media contents with the tangible objects. In addition, it supports an interactive media controller which users can synthesize media contents and generate new media contents according to users' taste. It also offers personalized contents, which is suitable for users' preferences, by exploiting context such as user's profile and situational information. Therefore. the proposed system can be applied to various interactive applications such as multimedia education, entertainment and multimedia editor.

• Journal of Ginseng Culture
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• v.2
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• pp.71-83
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• 2020

College students are the potential income classes preparing for income activities and are the main consumers of the future that are very important. In order to understand the current state of ginseng-related consumption culture of young consumers, this study wanted to examine university students' attitudes toward ginseng-related products and services in the future, and to find out their purchasing status, satisfaction, and intent to purchase them. In doing so, we looked at the relative influence of the relevant variables that affect the intent of the purchase. As a result, the variables that affect college student consumers' intention to purchase ginseng-related products were shown in the order of their reliability, economy, purchasing experience, subjective interest, monthly income, monthly allowance, pride in ginseng, and age. Of these, most of the variables had positive effects, but the average monthly income, monthly allowance, and age had negative effects. In other words, the higher the reliability, economy, and self-esteem of ginseng, the higher the willingness to buy ginseng, the higher the subjective interest in ginseng, the higher the age, the lower the monthly allowance, and the lower the income, the lower the willingness to buy ginseng. To promote college students' consumption of ginseng products, it is necessary to cut prices for the younger generation, enhance the quality of the products for the younger generation, improve the taste to overcome the negative aspects of rejecting the bitter and bitter taste, and, above all, induce consumers' attention. It is also necessary to expand accessibility through the development of convenient and easy-to-eat products for young people and the expansion of sales outlets. Recently, young consumers are interested in new products they have never experienced before, products that are good to certify because of their unique design or packaging, and retro products that stimulate nostalgia in the past, so they need to promote and provide information related to consumption of ginseng products in this regard. Considering the practicality and convenience of consumers, we propose consideration of personal consumers' taste curation services, which reflect their preference for products that are convenient to carry with them in line with various living environments, and can have synergy with other products.

• Journal of Korean Home Economics Education Association
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• v.35 no.1
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• pp.35-52
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• 2023

This study investigated the utilization and satisfaction of lunchboxes according to food-related lifestyle. A sample of 819 adults who regularly purchased lunchboxes were studied. This study can provide basic data for effective menu development. The participants of the study were classified into 4 groups: a 'taste-seeking group', an 'economy-seeking group', 'a convenience-seeking group', and a 'health-seeking group'. The purchase price of lunchboxes was in the range of 3,500 to 4,000 won. The 'health-seeking group' was shown to spend the highest amount on lunchboxes, over 5,100 won. Information about lunchboxes was obtained primarily through convenience stores followed by Internet SNS (p<0.05). Most participants considered nutritional value when purchasing a lunchbox (p<0.001), of which protein, caloric, and sodium content were perceived as important. Moreover, lunchboxes with clean and hygienic aesthetics were preferred amongst the 'health-seeking group' (p<0.01). The 'economy-seeking group' had a higher satisfaction linked with taste (3.66) and quantity (3.60, p<0.001). Furthermore, in terms of the satisfaction with a menu variety the 'health-seeking group' showed the highest satisfaction with a score of 3.76, while the 'convenience-seeking group' ranked the lowest satisfaction with a score of 3.46 (p<0.05). All groups were satisfied with the convenience for purchasing lunchbox (p<0.001). Additionally, most participants preferred white rice (p<0.001) and meat (p<0.01) with cooked by fried and grilled. Lastly, in the content of the lunchbox use in the future, most participants indicated the intent for continuous use (p<0.01) and recommendation to others with the reason for the low price (19.2%) in the 'economy-seeking group', fresh ingredients (16.2%) in the 'convenience-seeking group', and nutritive (17.3%) in the 'health-seeking group', as well as for the convenience of purchase in the overall groups. Taken together, 'taste' and 'convenience' were the most important factors for all groups, while 'nutrition of food' and 'addition of condiments' scored relatively low on the satisfaction in all groups. Therefore, we recommend for the growth of the convenience store lunchbox market, that it is necessary to improve the quality of the lunchbox by developing various menus based on lifestyle group and fortifying nutrition.

• Journal of the Korea Society of Computer and Information
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• v.15 no.11
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• pp.91-99
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• 2010

Recently, recognizing user resource for personalized service has been needed in digital content service fields. Especially, to analyze user taste, recommend music and service music related information need recognition of user music file in case of online music service. Music related information service is offered through recognizing user music based on tag information. Recognition error has grown by weak points like changing and removing of tag information. Techniques of content based user music recognition with music signal itself are researched for solving upper problems. In this paper, we propose user music recognition on the internet by extracted feature from music signal. Features are extracted after suitable preprocessing for structure of content based user music recognition. Recognizing on music server consist of feature form are progressed with extracted feature. Through this, user music can be recognized independently of tag data. 600 music was collected and converted to each 5 music qualities for proving of proposed recognition. Converted 3000 experiment music on this method is used for recognition experiment on music server including 300,000 music. Average of recognition ratio was 85%. Weak points of tag based music recognition were overcome through proposed content based music recognition. Recognition performance of proposed method show a possibility that can be adapt to online music service in practice.