• Journal of the Korean Society of Propulsion Engineers
• /
• v.6 no.2
• /
• pp.37-44
• /
• 2002

A theoretical study of spray and combustion characteristics due to coaxial twin-fluid injection is conducted to investigate the effects of liquid jet property, droplet size, contact length and liquid jet velocity. Model is properly validated with measurements and shows good agreement. Prediction of jet contact length, droplet size, liquid jet velocity reflects genuine features of coaxial injection in physical and practical aspects. Both the jet contact length and tile droplet size are reduced in a linear manner with an increase of injector diameter. Cross sectional area of liquid intact core is reduced with augmented jet splitting rate, thus the jet is accelerated to maintain the mass continuity and with an assistant of momentum diffusion by burnt gas.

• Journal of Digital Convergence
• /
• v.19 no.11
• /
• pp.301-313
• /
• 2021

The automotive industry is facing a paradigm shift, changing from owning to sharing and from manufacturing to service. However, it is hard to conclude that the economic value of smart mobility service is always positive to users. Cost related to owing or share a vehicle is very hard to estimate from the perspective of potential users as well as the benefit of the service. Focusing on the cost side of the story, this study develops a cost estimating model based on three main factors: electrification, advanced driving assistant systems (ADAS) function, and participation of ride-sharing service. As a result of the model analysis, low cost was estimated as a result when receiving cost benefits such as electrification and ride-sharing participation. Various factors were analyzed through sensitivity analysis also. These results can provide useful insights into the cost prediction and strategies for potential users and manufacturers on smart mobility service market.

• The Journal of the Korea Contents Association
• /
• v.22 no.5
• /
• pp.491-502
• /
• 2022

Voice technology allows consumers to make purchases through smart devices, and the interest in voice-driven conversational commerce has significantly expanded. In this study, we explored the continuance use intention of voice commerce, and the adoption of a value-attitude-behavior model. An online survey was conducted on 360 individuals who used an artificial intelligence assistant device in a voice commerce environment. We used Amos 23.0 and SPSS 25.0 for descriptive, confirmatory, and structural equation modeling analyses. These results indicated that functional value was the highest influencing variable on satisfaction of voice commerce, while social, emotional, and epistemic values significantly influenced it as well. Additionally, satisfaction of voice commerce significantly influenced the continuance use intention of voice commerce. These findings could help us understand the characteristics of voice commerce users and the diversity value in voice commerce environment.

• Journal of the Korean Applied Science and Technology
• /
• v.40 no.2
• /
• pp.301-308
• /
• 2023

This study sought to provide basic data for soccer clubs to establish efficient brand strategies by verifying the structural model and effectiveness between domestic youth soccer club brand identity, value, and loyalty. Therefore, parents of members of youth soccer clubs in Seoul, Gyeonggi-do, and Chungcheong-do were selected as samples, and 372 copies of data were used for the final analysis. Data processing used the SPSS (ver. 21.0) program to analyze frequency and verify reliability. In addition, the brushstrap BC method was applied to verify the effectiveness and significance of confirmatory factor analysis, correlation analysis, structural equation model analysis, and the effectiveness and significance using the AMOS (ver. 20.0). As a result of the study, first, it was found that the brand identity of youth soccer club in Korea had significant effect on value. Second, value had significant influence on loyalty. Third, brand identity had significant influence on loyalty. Lastly, value between brand identity and loyalty showed partial mediated effect.

• Journal of the Korean Applied Science and Technology
• /
• v.40 no.4
• /
• pp.906-912
• /
• 2023

This study attempted to reveal the influence of the exchange relationship (TMX) between Pilates leaders and members on job performance. Accordingly, from April 1 to July 12, 2023, 82 lines of couple data (164 people: 82 leaders, 82 members) were sampled and the following results were derived. First, the higher the leader exchange relationship, the higher the leader's job performance, and the higher the member exchange relationship, the higher the leader's job performance. Second, it can be seen that the higher the leader exchange relationship, the higher the member's job performance, and the higher the member exchange relationship, the higher the member's job performance. Therefore, it can be seen as a result of reflecting the systematic demand for exchange activities because the dependent relationship leads to active job participation through mutual relationships with colleagues.

• Journal of the Korean Applied Science and Technology
• /
• v.41 no.2
• /
• pp.242-250
• /
• 2024

This study attempted to provide basic data for efficient advertising model strategies of companies and advertising agencies by verifying the effectiveness of advertising star power of retired sports athletes in Korea. Therefore, retired domestic sports athletes selected those who were aware of advertisements selected as advertising models as samples, and 206 copies of data were applied to the final analysis. Data processing used the SPSS (ver. 21.0) program to analyze frequency and verify reliability. In addition, confirmatory factor analysis, correlation analysis, and structural equation model analysis were performed with the AMOS (ver. 20.0) program, and the significance of effectiveness was verified. As a result of the study, first, star power had a positive effect on favorability. Second, favorability had a positive effect on advertisement consumption behavior. Third, star power had a positive effect on advertising consumption behavior. Finally, star power was found to have a greater direct effect on advertising consumption behavior, and favorability was verified to have a partial mediating effect.

• Herbal Formula Science
• /
• v.32 no.1
• /
• pp.1-9
• /
• 2024

Objective : This study aims to assess the potential of utilizing large language models in pattern identification education by developing a simulated patient with fatigue and dual deficiency of the heart-spleen pattern. Methods : A simulated patient dataset was constructed using the clinical practice examination module provided by the National Institute for Korean Medicine Development. The dataset was divided into patient characteristics, sample questions, and responses, and utilized to design the system, assistant, and user prompts, respectively. A web-based interface was developed using the Django framework and WebSocket. Results : We developed a simulated fatigue patient representing dual deficiency of the heart-spleen pattern through prompt engineering. To make practical tools, we further implemented web-based interfaces for the examinee's and evaluator's roles. The interface for examinees allows one to examine the simulated patient and provides access to a personalized number for future access. In addition, the interface for evaluators included a page that provided an overview of each examinees' chat history and evaluation criteria in real-time. Conclusion : This study is the first development of an educational tool integrated with a large language model for pattern identification education, which is expected to be widely applied to Korean medicine education.

• Journal of Intelligence and Information Systems
• /
• v.28 no.1
• /
• pp.287-310
• /
• 2022

Companies' interest in developing AI-based intelligent new products is increasing. Recently, the main concern of companies is to innovate customer experience and create new values by developing new products through the effective use of Artificial intelligence technology. However, due to the nature of products based on radical technologies such as artificial intelligence, intelligent products differ from existing products and development methods, so it is clear that there is a limitation to applying the existing development methodology as it is. This study proposes a new research method based on KANO-TOPSIS for the successful development of AI-based intelligent new products by using car voice assistants as an example. Using the KANO model, select and evaluate functions that customers think are necessary for new products, and use the TOPSIS method to derives priorities by finding the importance of functions that customers need. For the analysis, major categories such as vehicle condition check and function control elements, driving-related elements, characteristics of voice assistant itself, infotainment elements, and daily life support elements were selected and customer demand attributes were subdivided. As a result of the analysis, high recognition accuracy should be considered as a top priority in the development of car voice assistants. Infotainment elements that provide customized content based on driver's biometric information and usage habits showed lower priorities than expected, while functions related to driver safety such as vehicle condition notification, driving assistance, and security, also showed as the functions that should be developed preferentially. This study is meaningful in that it presented a new product development methodology suitable for the characteristics of AI-based intelligent new products with innovative characteristics through an excellent model combining KANO and TOPSIS.

• Korean Educational Research Journal
• /
• v.41 no.2
• /
• pp.55-70
• /
• 2020

The purpose of this study was to investigate the perceptions of faculty as a foundation for establishing a convergence education model at N-University. In September 2019, a survey was conducted using an online survey system, and a total of 80 responses were obtained. SPSS 23 was used for analysis, and a t-test, ANOVA, and multiple regression analysis were performed. First, the female faculty were significantly more positive about linked-major expansion than were the male faculty. Second, assistant faculty were significantly more positive about convergence curriculum establishment than were associate faculty. Third, as a result of the multiple regression analysis, the preference for multimajor expansion was the most significant and positively influencing factor on the convergence curriculum establishment. Universities must provide various incentives to form a consensus among university faculty. The Ministry of Education must support individual universities through the establishment of clearer guidelines and a kind of convergence education support center.

• 한국HCI학회:학술대회논문집
• /
• 2009.02a
• /
• pp.579-582
• /
• 2009

With the aid of the increasing interests of Context-aware Augmented Reality Agent (AR Agent), various researches of AR Agent have been performed to explore the possibility of the agent as novel interface and the entity responding autonomously by user's input. However, in previous works, AR Agents are lack of specific method for using various contextual information. To revolve around those problems, we propose the Behavior Generation System for Context-aware AR Agent using layered architecture. Based on Belief-Desire-Intention (BDI) model and Hierarchical Task Network (HTN) searching, the sequence of agent behavior has been selected in behavior planning layer. Then, the agent evaluates appropriateness of behaviors using previous behavior and the type of input before activation. This behavior generation system can be applied for edutainment, game, and assistant agent, which need intuitive and effective behaviors to convey information. Through this research, we expect that the Context-aware AR Agent could support for not only information delivery, but also the capability of effective communication for user.