• Journal of the Semiconductor & Display Technology
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• v.18 no.3
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• pp.93-99
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• 2019

It is a wine recommendation application service designed for people who sometimes drink wine but lack information and have no place to recommend. This study is to develop UI display design method of wine recommendation service using chatbot. The research method was a case study on Korean wine market, a case study on artificial intelligence market, SWOT analysis of wine-related chatbots, and a competitor analysis of related industries. In addition, surveys and in-depth interviews examined the level of interest and understanding of chatbots, and what kind of chatbots they had encountered and what requirements and goals they faced. After grasping the needs and requirements of users, we created a service concept sheet according to them and produced an application UI design that users can use most easily. Therefore, this study is meaningful in that it proposes a UI design that can search wine information more sophisticated and convenient than face-to-face communication through artificial intelligence service called chatbot and recommend wines that match the taste.

• Proceedings of the KAIS Fall Conference
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• 2003.11a
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• pp.10-15
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• 2003

In computer graphics, most animations of characters have been created using the traditional and often highly labor intensive key-framing technique. Recently, character animation is demanded increasingly automated techniques for animation according to interaction with the user or environment of the user. In this paper, we will propose a new method which can animate characters automatical/y with user interactions. The character's behavior is determined as a result of understanding the emotional condition of the user. Psychology and cognitive AI provide some ideas about how to approach this problem. Our study is based mostly on the theories of Ortony, Clore and Collins, which were designed to be implemented computationally. In our system, we can make 22 emotion types and some more behavior features and we apply to some characters.

• The Journal of Korean Physical Therapy
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• v.14 no.2
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• pp.116-132
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• 2002

In the management of the child with mental retardation, the physical therapist is challenged to use various skills. The many complex and persistent difficulties encountered by retarded children often require innovative methods physical therapy. These methods must incorporate not only he basic principles of physical therapy, but also an understanding of the teaching and learning as they relate to the mentally retarded person. Movement Play needs to parents and other professionals requires not only technical expertise on the part of the therapist, but also psychosocial skills and the ability to be a sensitive listener and teacher. We can help the mentally retarded child strive to attain goals in life.

• Journal of the Korea Society of Computer and Information
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• v.5 no.3
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• pp.132-141
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• 2000

Designing and implementing to support both technical and social interaction by group members, GDSS can effect positively on developing and sustaining knowledge-intensive organization. This study proposes usage types of GDSS as KMS. By understanding level of GDSS, knowledge transfer process, and group members' interaction modes, we suggest some additional characteristics of GDSS and possible technology to be able for ai)plying to GDSS.

• Journal of information and communication convergence engineering
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• v.19 no.1
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• pp.8-15
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• 2021

The Fourth Industrial Revolution is currently leading humanity into a super-connected, super-intelligent, and super-converged society through key technologies such as artificial intelligence, the Internet of Things (IoT), and big data. Blockchain technology has the potential to lead social innovation that will improve the mutual harmony and understanding of the complex structures of human society as well as various phenomena (e.g., antagonism, confrontation, and ideological conflict). With such progress in social innovation, blockchain technology will result in a fairer and more transparent human society. In addition, blockchain technology is emerging as a core infrastructure technology, and its growth and expansion are expected to bring about revolutionary improvements to nearly all fields of development and research. In this paper, we briefly outline the main features of blockchain technology. Through a further analysis of its ecosystem, we intend to offer suggestions for a more robust and efficient development of blockchain-related industries.

• Biomolecules & Therapeutics
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• v.31 no.6
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• pp.583-598
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• 2023

Dementia is a clinical syndrome characterized by progressive impairment of cognitive and functional abilities. As currently applied treatments for dementia can only delay the progression of dementia and cannot fundamentally cure it, much attention is being paid to reducing its incidence by preventing the associated risk factors. Cardiovascular and metabolic diseases are well-known risk factors for dementia, and many studies have attempted to prevent dementia by treating these risk factors. Growing evidence suggests that sex-based factors may play an important role in the pathogenesis of dementia. Therefore, a deeper understanding of the differences in the effects of drugs based on sex may help improve their effectiveness. In this study, we reviewed sex differences in the impact of therapeutics targeting risk factors for dementia, such as cardiovascular and metabolic diseases, to prevent the incidence and/or progression of dementia.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.260-267
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• 2023

Due to the development of science and technology in the 4th Industrial Revolution, a variety of content is being developed and utilized through educational courses linked to digital textbooks. Students use smart devices to engage in realistic virtual learning experiences, interacting with the content in digital textbooks. However, while many realistic contents offer visual and auditory effects like 3D VR, AR, and holograms, olfactory content that evokes actual sensations has not yet been introduced. Therefore, in this paper, we designed and implemented 4D educational content by adding the sense of smell to existing content. This implemented content was tested in classrooms through a curriculum-based evaluation. Classes taught with olfactory-enhanced content showed a higher percentage of correct answers compared to those using traditional audio-visual materials, indicating improved understanding.

• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.169-174
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• 2024

The Internet industry is developing at a high speed and entering the stage of convergence of everything, in which mobile devices are a key part, and smartphone manufacturing enterprises are developing rapidly in this environment. As one of the smartphone manufacturing enterprises that have dominated the Chinese smartphone market for many years, OPPO enterprise has developed rapidly and occupied a large share of the smartphone market. As a globally renowned technology company, its unique organizational culture is behind its success. In this study, through the analysis of OPPO's information and related literature, we found that OPPO's organizational culture has the characteristics of emphasizing teamwork, focusing on innovation, and advocating customer first. This organizational culture not only enhances employees' sense of belonging, but also promotes the company's long-term development. This study is not only important for understanding OPPO's success, but also for other companies to construct and optimize their organizational culture.

• International Journal of Computer Science & Network Security
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• v.24 no.9
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• pp.12-20
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• 2024

Sentiment analysis has become a pivotal component in understanding public opinion, market trends, and user experiences across various domains. The advent of GPT (Generative Pre-trained Transformer) models has revolutionized the landscape of natural language processing, introducing a new dimension to sentiment analysis. This comprehensive roadmap delves into the transformative impact of GPT models on sentiment analysis tasks, contrasting them with conventional methodologies. With an increasing need for nuanced and context-aware sentiment analysis, this study explores how GPT models, known for their ability to understand and generate human-like text, outperform traditional methods in capturing subtleties of sentiment expression. We scrutinize various case studies and benchmarks, highlighting GPT models' prowess in handling context, sarcasm, and idiomatic expressions. This roadmap not only underscores the superior performance of GPT models but also discusses challenges and future directions in this dynamic field, offering valuable insights for researchers, practitioners, and AI enthusiasts. The in-depth analysis provided in this paper serves as a testament to the transformational potential of GPT models in the realm of sentiment analysis.

• Journal of the Korea Convergence Society
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• v.11 no.6
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• pp.51-57
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• 2020

Children with language developmental disabilities often struggle through their lives from a lot of challenges in everyday life and social activities. They're often easily deprived of the opportunity to engage in social activities, because they find difficulty in understanding or using language, a core means of communication. With regard to this issue, AAC(Augmentative and Alternative Communication) can be an effective communication tool for children who are suffering from language disabilities. In this paper, we propose a deep learning-based AI service to make full use of the pictogram as an AAC tool for children with language developmental disabilities to improve not only the ability to interact with others but the capacity to understand language. Using this service, we strive to help these children to more effectively communicate their intention or desire and enhance the quality of life.