• Journal of Engineering Education Research
• /
• v.25 no.5
• /
• pp.44-54
• /
• 2022

The purpose of this study is to effectively implement the artificial intelligence education required in the digital transformation era. As we enter the era of the 4th industrial revolution, the demand for a great digital transformation in industry is essential, and the nurturing of manpower is presented as an indispensable relationship in the industrial field based on it. The integration of various new technologies that have emerged from the era of the 4th industrial revolution has the greatest purpose in realizing artificial intelligence technology. As the importance of digital competency in the top curriculum reorganization has been highlighted, artificial intelligence education is necessary even in the curriculum reorganization in 2022, and there is a demand in the educational field that it should be converted into a mandatory education in middle and high schools. Artificial intelligence education according to the demands of the times is to develop an artificial intelligence curriculum in universities by reestablishing systematic artificial intelligence education in universities, setting educational goals, and presenting the goals of artificial intelligence education by major. The main direction of this study is to present the relationship between artificial intelligence and each major in university education, develop a curriculum based on artificial intelligence for each major, and link artificial intelligence software for AI education customized for each major. We would like to present a process that can measure the learning outcomes of AI education.

• 제어로봇시스템학회:학술대회논문집
• /
• 1996.10b
• /
• pp.130-133
• /
• 1996

An exploration for an emotional intelligence paradigm has been delineated. Emotional intelligence is investigated in terms of composing machine as a modern abstract art. The system consists of interface, plan and performance modules. Design concepts of the system are modular, open, and user friendly to ensure the overall performance. The exploration of art in the view of intelligence, information and structure will restore the balanced sense of the art and the science seek the happiness of life. The investigations of emotional intelligence will establish the foundations of intelligence, information and control technologies.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.26 no.2
• /
• pp.1-14
• /
• 2024

Digital transformation has been actively evolving through the use of digital platforms. The fashion industry also utilizes digital platforms and significant changes have become particularly evident in fashion shows. Therefore it is essential to research digital fashion shows. The purpose of this study is to analyze the evolution of digital fashion shows in terms of their form and characteristics in response to changes in digital platforms. The research method consisted of literature research and case analysis. In this study, the development stages of digital platforms were divided into four stages: Internet platforms, SNS platforms, Metaverse platforms, and Artificial Intelligence platforms. Results were derived by analyzing digital fashion shows published on digital platforms at each stage. Internet digital fashion shows were used as an ancillary implement for fashion shows. SNS digital fashion shows expanded the fashion presentation method by experimenting with various fashion show formats. The Metaverse Digital Fashion Show offers a unique experience by integrating Virtual Reality and digital technology to create visual effects customized for the virtual environment. The Artificial Intelligence digital fashion show used virtual graphics created using Artificial Intelligence. Digital fashion shows will continue to evolve and become a significant digital strategy for fashion content and brands. The change in the format of digital fashion shows clearly showcases the characteristics of each stage, but the formats appear to merge during the development process.

• Journal of Digital Convergence
• /
• v.17 no.10
• /
• pp.251-258
• /
• 2019

In the future, various products are created in various fields using artificial intelligence. In this age, it is a very important problem to know the operation principle of artificial intelligence learning method and to use it correctly. This paper introduces artificial intelligence learning methods that have been known so far. Learning of artificial intelligence is based on the fixed point iteration method of mathematics. The GD(Gradient Descent) method, which adjusts the convergence speed based on the fixed point iteration method, the Momentum method to summate the amount of gradient, and finally, the Adam method that mixed these methods. This paper describes the advantages and disadvantages of each method. In particularly, the Adam method having adaptivity controls learning ability of machine learning. And we analyze how these methods affect digital signals. The changes in the learning process of digital signals are the basis of accurate application and accurate judgment in the future work and research using artificial intelligence.

• Journal of the Korea Convergence Society
• /
• v.13 no.1
• /
• pp.141-147
• /
• 2022

In a broad sense, the definition of digital health care is an industrial area that manages personal health and diseases through the convergence of the health care industry and ICT. In a narrow sense, various medical technologies are used to manage medical services to improve patient health. This paper aims to provide design guidelines so that artificial intelligence technology can be applied stably and efficiently to more diverse digital health care fields in the future by introducing use cases of artificial intelligence and machine learning techniques applied in the digital health care field. For this purpose, in this thesis, the medical field and the daily life field are divided and examined. The two regions have different data characteristics. By further subdividing the two areas, we looked at the use cases of artificial intelligence algorithms according to data characteristics and problem definitions and characteristics. Through this, we will increase our understanding of artificial intelligence technologies used in the digital health care field and examine the possibility of using various artificial intelligence technologies.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.7 no.4
• /
• pp.89-99
• /
• 2011

Digital edutainment games and educational content to the concept of combining learning and to draw conclusions that can be varied and fun learning program. Yet effective design. There's a lot of discussion about the systematic and scientific research, explore the difficult, but so is the growing field of endless possibility. Merely a linguistic capabilities of human intelligence and mathematical ability were measured primarily on issues raised in the traditional intelligence tests, and emerged a variety of multiple intelligences theory of human intelligence classified into 8 types and characteristics of each intelligence activities and guidelines for faculty are presented. These lessons are based on multiple intelligences theory professor activities through the design study for students to form learning activities to meet effectively and systematically conducted classes, and student-specific classes can be designed. In this study, multiple intelligences theory, based on children's edutainment content by linguistic intelligence, and intrapersonal intelligence body-kinestic intelligent and can learn by linking to content that was designed. Children interested in animation and gaming content through the feeling that you can become stiff in Korean alphabet education to solve the quests were designed to be a natural puleonagal.

• Journal of Information Processing Systems
• /
• v.19 no.3
• /
• pp.302-309
• /
• 2023

Artificial intelligence (AI) plays a crucial role in the intelligent development of China's power system. It is also an important part of the digital development of the power grid. The development of AI determines whether the digital transformation of China's power system can be successfully implemented. Therefore, this paper discusses the digital transformation of the power grid based on AI technologies. The author has established a digital evaluation index system to reflect the development of the power grid in one province. Both qualitative and quantitative methods have been adopted in the analysis, which delves into the economic effectiveness, quality, and coordination of power grid development in the province in a comprehensive way. Results show that, to meet the needs of the power grid's digital transformation, the correlation coefficient between the power grid's development and the province's overall coordination has been increasing in recent years.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.17 no.8
• /
• pp.2241-2258
• /
• 2023

This study developed digital literacy instruments and tested their effectiveness on college students' perceptions of AI technologies. In creating a new digital literacy test tool, we reviewed the concept and scale of digital literacy based on previous studies that identified the characteristics and measurement of AI literacy. We developed 23 preliminary questions for our research instrument and used a quantitative approach to survey 318 undergraduates. After conducting exploratory and confirmatory factor analysis, we found that digital literacy in the age of AI had four ability sub-factors: critical understanding, artificial intelligence social impact recognition, artificial intelligence technology utilization, and ethical behavior. Then we tested the sub-factors' predictive powers on the perception of AI's usefulness and ease of use. The regression result shows that the most common powerful predictor of the usefulness and ease of use of AI technology was the ability to use AI technology. This finding implies that for college students, the ability to use various tools based on AI technology is an essential competency in the AI era.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2021.11a
• /
• pp.537-540
• /
• 2021

One of the most promising technologies that is raised from the fourth industrial revolution is Digital Twin (DT). A DT captures attributes and behaviors of the entity suitable for communication, storage, interpretation or processing within certain context. A digital twin based on microservice framework architecture is proposed in this paper which identifies elements required for the complete orchestration of microservice based Survival Analysis of Lung Cancer Patients. Integration of microservices and Digital Twin Technology is studied.

• Korean Medical Education Review
• /
• v.18 no.2
• /
• pp.47-50
• /
• 2016

Development of artificial intelligence is expected to revolutionize today's medicine. In fact, medicine was one of the areas to which advances in artificial intelligence technology were first applied. Recently, state-of-the-art artificial intelligence, especially deep learning technology, has been actively utilized to treat cancer patients and analyze medical image data. Application of artificial intelligence has the potential to fundamentally change various aspects of medicine, including the role of human doctors, the clinical decision-making process, and even overall healthcare systems. Facing such fundamental changes is unavoidable, and we need to prepare to effectively integrate artificial intelligence into our medical system. We should re-define the role of human doctors, and accordingly, medical education should also be altered. In this article, we will discuss the current status of artificial intelligence in medicine and how we can prepare for such changes.