• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.748-756
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• 2021

In this study, as the first attempt to develop an experiential game tourism program using Korean classical literature, the primary research was conducted on Kim Soo-Jang and his anthology "Hae Dong Ga Yo". To this end, a theoretical review of the value of hands-on games and Korean classical literature as tourism content was conducted first. Afterwards, the consumers for the program were set up into three categories: family unit, MZ generation including lovers, and foreigners. A survey was conducted to confirm the program preference of each group. According to the analysis framework, the main value of each historical and cultural resource in "Hae Dong Ga Yo" and seven sijo pieces created by Kim Soo-Jang was discovered and, based on the survey, the preferences of the consumer related to the target were analyzed. Accordingly, the narrative structures were organized differently for each group. An adventure plot was designed for the family unit, a love plot for MZ generation and lovers, and a mixture of adventure and love for foreigners. Utilizing stories from Kim Soo-Jang and his works, which are rarely used despite their value, this study attempted to develop them into hands-on game tourism programs to create new outlets in terms of both Korean classical literature and the tourism area. In the future, if various Joseon literati are discovered and their storytelling is continued, we can expect the vitalization of the travel product line with the concept of classical literature travel.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.5
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• pp.189-196
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• 2022

Skyline query is a scheme for exploring objects that are suitable for user preferences based on multiple attributes of objects. Existing skyline queries return search results as batch processing, but the need for real-time search results has increased with the advent of interactive apps or mobile environments. Online algorithm for Skyline improves the return speed of objects to explore preferred objects in real time. However, the object navigation process requires unnecessary navigation time due to repeated comparative operations. This paper proposes a Pre-processing Online Algorithm for Skyline Query (POA) to eliminate unnecessary search time in Online Algorithm exploration techniques and provide the results of skyline queries in real time. Proposed techniques use the concept of range-limiting to existing Online Algorithm to perform pretreatment and then eliminate repetitive rediscovering regions first. POAs showed improvement in standard distributions, bias distributions, positive correlations, and negative correlations of discrete data sets compared to Online Algorithm. The POAs used in this paper improve navigation performance by minimizing comparison targets for Online Algorithm, which will be a new criterion for rapid service to users in the face of increasing use of mobile devices.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.695-702
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• 2022

The purpose of this study was conducted with suggesting a clue to improve the perception of jobs for the elderly, and the final study subject was 110 people. As a research methods were student t-test, ⲭ²-test, one-way ANOVA(Scheffe). The result of the study are as follows. The perception and economic status of the young elderly(65-74 years old) were significantly higher. The perception of public jobs was significantly higher when married, religious, and monthly income was more than 4 million won. The perception of social service-type jobs was significantly higher when married and when there was a religion. The perception of private jobs was high when the monthly income was more than 4 million won (p<0.05). The preference for "parking order service" in the public sector, "support for elderly facilities" in the social service sector, and "fast food restaurant employees, kitchen, restaurant assistants, and food delivery service workers" in the private sector was the highest. In conclusion, there is a need for an education program to improve the perception of jobs for the elderly in order to raise the awareness of job policies for the elderly, which decrease with age. It is expected to be used as basic data for job creation and job creation that can be done according to the age of the elderly.

• Journal of Korea Entertainment Industry Association
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• v.15 no.8
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• pp.423-432
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• 2021

In this study, we investigated and the following conclusions are presented by identifying the current status and problems in order to expand the future's value of the community care project introduced and implemented to improve the quality and care for the elderly's life. First, the needs analysis of the elderly receiving services is composed of patient-centered rather than investigator-centered, and in particular, medical management through medical staff visits should be strengthened, and specialized service items according to gender, age, disability type, and personal preference should be strengthened. This will have to be gradually strengthened. Second, by analyzing the satisfaction, redundancy, and effectiveness of service items, we save money, and consider the consumer-oriented service item composition and application of items necessary for new services. Third, through the introduction of an integrated schedule management system, it is necessary to specialize in pre-booking and visit schedule management between the elderly and the direct service organizations that provide services. Fourth, as an effort to solve the financial problem, it is necessary to prepare a rational resource sharing system with health and medical finance, long-term care insurance system, and social welfare financial project. and it may consider that putting the medical personnel who are from local public medical college input. Through these proposals, the community care business will be able to complete and have future value as a universal aged care system.

• Journal of Mushroom
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• v.20 no.3
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• pp.153-162
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• 2022

The purpose of this study was to breed a variety of stable productivity and high storage characteristics of white Hypsizygus marmoreus, which has high demand at domestic and global market due to a low bitter taste and the preference for white species. Accordingly, 'Baekmaru' was bred by hybridizing brown and white cap color species and backcrossing with white species. The 'Baekmaru' variety was bred by crossbreeding the brown and white species and backcrossing the white species. Through repeated cultivation of 'Baekmaru', a variety with a low contamination rate was selected when culturing the spawn for stable cultivation. As a results of demonstration test, the yield of 'Baekmaru' was 14% higher than that of the commercial variety. In addition, among the fruiting body characteristics of 'Baekmaru', diameter and thickness of the pileus were 16.43±15.27mm and 6.46±0.58mm, which were slightly higher than the commercial variety, and the hardness was 2.69±0.89N for the pileus and 3.09±0.89N for the stipe. The shelf life showed less change in thickness and color of pileus compared to commercial variety. The hardness of pileus of 'Baekmaru' was maintained in the range of 3.5 to 4.0N in the 4℃ and 4℃ and 20℃ mixed treatment until 30 days of storage, and was higher than that of the commercial variety. Therefore, it was suggested to be excellent in storability.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.1-18
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• 2022

This study critically analyzed the user experience (UX) of mobile applications, focusing on the advertising platforms of mobile applications for culture and arts content. This study aims to examine the direction for growth of the related mobile applications and propose alternative approaches to improve usability. In this study, a mobile app named 'Moviepre' was selected, and a heuristic evaluation was performed for in-depth exploration. For the selected case, the UX Honeycomb model was reconstructed to analyze useful, usable, desirable, findable, accessible, and credible elements of the case. First, since the users' preference for the price factor did not show a significant correlation with the usefulness of the content and the interface, it is necessary to make sure that the mobile application has unique values to gain a competitive advantage in the market. Second, by adopting customer path stages for analysis, the result indicated that users continuously interact with the service from the first moment they are aware of the mobile application. Third, if the user feels uncomfortable, it is likely that these factors hinder the establishment of a long-term relationship between the users and the mobile application. Finally, brand identity should be clearly established, and brand image strategy needs to be developed to satisfy users' expectations that high-quality culture and arts content will be available through the mobile application.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.95-117
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• 2022

With the emergence of various media types due to the development of Internet technology, advertisers have difficulty choosing media suitable for corporate advertising strategies. There are challenging to effectively reflect consumer contextual information when advertising media is selected based on traditional marketing strategies. Thus, a recommender system is needed to analyze consumers' past data and provide advertisers with personalized media based on the information consumers needs. Since the traditional recommender system provides recommendation services based on quantitative preference information, there is difficult to reflect various contextual information. This study proposes a methodology that uses deep learning to recommend personalized media to advertisers using consumer contextual information such as consumers' media viewing time, residence area, age, and gender. This study builds a recommender system using media & consumer research data provided by the Korea Broadcasting Advertising Promotion Corporation. Additionally, we evaluate the recommendation performance compared with several benchmark models. As a result of the experiment, we confirmed that the recommendation model reflecting the consumer's contextual information showed higher accuracy than the benchmark model. We expect to contribute to helping advertisers make effective decisions when selecting customized media based on various contextual information of consumers.

• Journal of Life Science
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• v.32 no.9
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• pp.667-677
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• 2022

Dolsan mustard seeds (DMS) were added in whole, crushed, and roasted form at 0.5 g (S-1), 1.0 g (S-2), and 1.5 g (S-3), respectively to broth and heated for 10 or 15 min. After cooling, the quality characteristics were measured. Salinity and pH decreased with boiling time. The antioxidant activities of the experimental broth were measured in terms of total polyphenol content, total flavonoid content, electron donating ability (EDA), 2,2-azino-bis (3-ethyl-benzothizoline-6-sulfonic acid) (ABTS) radical scavenging activity, and ferric reducing antioxidant power (FRAP). The overall, antioxidant activity was higher in broths containing 1.0 g and 1.5 g DMS than in those containing 0.5 g DMS and the activity increased with increasing boiling time. Sinigrin was not detected in the control group, and no significant difference in sinigrin content was noted among broths containing different concentrations of DMS. A high glutamic acid content was detected in the control broth, whereas glutamic acid, aspartic acid, glycine, proline, alanine, and arginine were detected in the broths containing DMS. The free amino acid contents, particularly aspartic acid and glutamic acid contents, were high in umami. Volatile components, such as 2-propenyl-isothiocyanate (ITC), allylthiocyanate, n-butyl ITC, and 3-butenyl ITC, were detected in the DMS-containing broths. Sensory evaluation revealed that a higher amount of DMS added and a longer heating time increased the overall taste preference, and the difference was statistically significant. The purpose of this study was to present basic data on the quality characteristics of DMS-added broths to aid in the development of new products using DMS.

• Journal of Korean society of Dental Hygiene
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• v.22 no.5
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• pp.323-332
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• 2022

Objectives: This study aims to confirm the educational necessity and utilization of VR media. And it was conducted to prepare basic data necessary for the use of VR in various dental hygiene education in the future and the development of innovative practical training courses. Methods: Before and after using VR in oral radiology practice classes, learning interest (4 items), learning commitment (9 items), learning motivation (5 items), educational media preference (4 items), and satisfaction (10 items) were investigated and analyzed. Friedman two way ANOVA by ran a nonparametric analysis corresponding to repeated measures ANOVA was performed. The statistical significance level was 0.05. Results: It was found that there were statistically significant differences in learning interest, learning immersion, and learning motivation according to the type of oral radiology practice education medium (p<0.05). Conclusions: VR is expected that the use of learning media using VR will lead to students' interest, immersion, and learning motivation in class, and that positive learning effects on VR education media can be sufficiently obtained.

• Knowledge Management Research
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• v.23 no.2
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• pp.277-299
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• 2022

The massive card transaction data generated in the tourism industry has become an important resource that implies tourist consumption behaviors and patterns. Based on the transaction data, developing a smart service system becomes one of major goals in both tourism businesses and knowledge management system developer communities. However, the lack of rating scores, which is the basis of traditional recommendation techniques, makes it hard for system designers to evaluate a learning process. In addition, other auxiliary factors such as temporal, spatial, and demographic information are needed to increase the performance of a recommendation system; but, gathering those are not easy in the card transaction context. In this paper, we introduce CTDDTR, a novel approach using card transaction data to recommend tourism services. It consists of two main components: i) Temporal preference Embedding (TE) represents tourist groups and services into vectors through Doc2Vec. And ii) Deep tourism Recommendation (DR) integrates the vectors and the auxiliary factors from a tourism RDF (resource description framework) through MLP (multi-layer perceptron) to provide services to tourist groups. In addition, we adopt RFM analysis from the field of knowledge management to generate explicit feedback (i.e., rating scores) used in the DR part. To evaluate CTDDTR, the card transactions data that happened over eight years on Jeju island is used. Experimental results demonstrate that the proposed method is more positive in effectiveness and efficacies.