• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.1
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• pp.17-22
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• 2024

This paper introduces the implementation of a secondhand clothing trading system equipped with virtual fitting functionality based on deep learning. The proposed system provides users with the ability to visually try on secondhand clothing items online and assess their fit. To achieve this, it utilizes the Convolutional Neural Network (CNN) algorithm to create virtual representations of users considering their body shape and the design of the clothing. This enables buyers to pre-assess the fit of clothing items online before actually wearing them, thereby aiding in their purchase decisions. Additionally, sellers can present accurate clothing sizes and fits through the system, enhancing customer satisfaction. This paper delves into the CNN model's training process, system implementation, user feedback, and validates the effectiveness of the proposed system through experimental results.

• Korean Journal of Radiology
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• v.25 no.3
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• pp.224-242
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• 2024

The emergence of Chat Generative Pre-trained Transformer (ChatGPT), a chatbot developed by OpenAI, has garnered interest in the application of generative artificial intelligence (AI) models in the medical field. This review summarizes different generative AI models and their potential applications in the field of medicine and explores the evolving landscape of Generative Adversarial Networks and diffusion models since the introduction of generative AI models. These models have made valuable contributions to the field of radiology. Furthermore, this review also explores the significance of synthetic data in addressing privacy concerns and augmenting data diversity and quality within the medical domain, in addition to emphasizing the role of inversion in the investigation of generative models and outlining an approach to replicate this process. We provide an overview of Large Language Models, such as GPTs and bidirectional encoder representations (BERTs), that focus on prominent representatives and discuss recent initiatives involving language-vision models in radiology, including innovative large language and vision assistant for biomedicine (LLaVa-Med), to illustrate their practical application. This comprehensive review offers insights into the wide-ranging applications of generative AI models in clinical research and emphasizes their transformative potential.

• The Korean Journal of Archival Studies
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• no.79
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• pp.305-341
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• 2024

This study explored the possibilities of a new approach to developing the provenance concept to electronic records in the data-driven digital environments by reviewing and adopting data provenance concepts and models. It then conducted basic literature review to develop a ground for a model representing the provenance of data-driven electronic records. In particular, it proposed to embrace to the concepts of retrospective and prospective provenance, and to develop a different model for representing provenance from records management metadata. If the model can be developed that can represent provenance independently while maintaining a dynamic relationship with records, it can be ensure the fluidity of records and even support to secure the record's attributes and play the roles of provenance. Eventually, it proposed the direction to develop the provenance model which can support the fixity of records, the reproducibility of activities, and the trustworthiness of representations. It is expected to be a fit provenance model in the data-driven digital environment.

• Education of Primary School Mathematics
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• v.27 no.3
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• pp.281-301
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• 2024

Many students have experienced difficulties due to the discontinuity in instruction between arithmetic and algebra, and in the field of elementary education, algebra is often treated somewhat implicitly. However, algebra must be learned as algebraic thinking in accordance with the developmental stage at the elementary level through the expansion of numerical systems, principles, and thinking. In this study, algebraic thinking-based classes were developed and conducted for 6th graders in elementary school, and the effect on the ability to solve word-problems in fraction division was analyzed. During the 11 instructional sessions, the students generalized the solution by exploring the relationship between the dividend and the divisor, and further explored generalized representations applicable to all cases. The results of the study confirmed that algebraic thinking-based classes have positive effects on their ability to solve fractional division word-problems. In the problem-solving process, algebraic thinking elements such as symbolization, generalization, reasoning, and justification appeared, with students discovering various mathematical ideas and structures, and using them to solve problems Based on the research results, we induced some implications for early algebraic guidance in elementary school mathematics.

• Journal of the Korea Society of Computer and Information
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• v.29 no.11
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• pp.229-241
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• 2024

In this paper, we propose a system to provide schemas written in multiple languages for RDF knowledge graphs derived from RML mappings. The core of the system is a common shape model designed to support both SHACL and ShEx, which are all languages for representing the structure of RDF graphs, called "shapes". The model is syntax-neutral, but includes enough data to represent constraints with the two schema languages. The data in the model are automatically collected from RML mapping rules themselves and metadata about input data sources in RML mappings. Also, the presented system provides a common interface to support translation of the model to multiple languages. The translation to each language is performed by each syntax-specific implementation of the interface, so the model data are rearranged according to each language's syntax. This paper describes the proposed method in detail and also presents implementation results.

• CHINESE LITERATURE
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• v.94
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• pp.19-30
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• 2018

It is generally believed, in his book San Yan, Feng Menglong shows a great contradictoriness when it related to female marriage problems, which is female are encouraged to pursue their emotional partners while being strongly demanded to keep the chastity. Existing researches seem relatively simple and superficially. Based on the influence Xin Xue has exerted on Feng, this article offers a thorough analysis of how Feng's inheritance plays a decisive role on creating the contradictoriness in Female marriage stories. Chapter 2 lists several concrete contradictory representations in female marriage stories. Chapter 3 starts with two aspects: theoretical inheritance and practical inheritance, assisting with specific stories, shows that Xin Xue has played a profound and key role in the formation of such contradictions. Finally, it arrived at a conclusion that Feng's stories are actually a fully reflection of the philosophy Xin Xue, and the contradictoriness appears in the stories is indeed the self-contradiction of Xin Xue.

• CHINESE LITERATURE
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• v.94
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• pp.123-151
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• 2018

It is generally believed, in his book San Yan, Feng Menglong shows a great contradictoriness when it related to female marriage problems, which is female are encouraged to pursue their emotional partners while being strongly demanded to keep the chastity. Existing researches seem relatively simple and superficially. Based on the influence Xin Xue has exerted on Feng, this article offers a thorough analysis of how Feng's inheritance plays a decisive role on creating the contradictoriness in Female marriage stories. Chapter 2 lists several concrete contradictory representations in female marriage stories. Chapter 3 starts with two aspects: theoretical inheritance and practical inheritance, assisting with specific stories, shows that Xin Xue has played a profound and key role in the formation of such contradictions. Finally, it arrived at a conclusion that Feng's stories are actually a fully reflection of the philosophy Xin Xue, and the contradictoriness appears in the stories is indeed the self-contradiction of Xin Xue.

• Journal of Practical Engineering Education
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• v.16 no.5_spc
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• pp.701-708
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• 2024

The challenges of exploring distant locations have become increasingly apparent, especially since COVID-19 has made visiting even nearby museums and attractions more difficult. Various factors contribute to this, including time constraints, financial limitations or language barriers. However, these challenges can be overcome with recent technologies by transforming how users experience and interact with spaces. With the latest advancements, it is now possible to create virtual representations of famous attractions, allowing users to take virtual tours as if they were physically present. This paper presents a comprehensive framework for creating virtual tours using Matterport, a leading 3D scanning technology, and Unity 3D, a powerful game engine. The paper outlines methodologies for capturing 3D data with Matterport, importing it into Unity, enhancing user interaction, and optimizing the overall experience. By integrating these tools, the framework aims to facilitate immersive virtual experiences. This approach will allow affordable virtual tickets for famous attractions around the world which will be great educational opportunities. In addition, this framework can be applicable to facilitate easier navigation in complex environments such as airports and hospitals.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.111-120
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• 2024

This study, we explored the representation of makeup in the artworks of Cheon Gyeong-ja (1924-2015), a female painter from Korea, with a focus on her women-centric paintings. Cheon Gyeong-ja, breaking away from the traditional Oriental framework of Korean modern art, emerged as a leading female artist who pioneered color painting. Through her distinctive techniques, she unfolded a world of art centered around women, using characteristic subjects such as women and flowers to express vibrant colors. This was aimed at clearly conveying the meanings she intended from her inner world to society. By examining the makeup depicted in female portraits, we investigated the diverse representations of women's makeup and its correlation with the painted figures. Exploring the characteristic makeup aspects in the artworks allowed us to delve into the inherent meanings embedded within the colors and paintings. Given the significance of this exploration in my life, I hope this translation serves the purpose well.

• Journal of the Korea Computer Graphics Society
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• v.6 no.4
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• pp.1-7
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• 2000

Traditionally, three dimension model s have been used for building virtual worlds, and a data structure called the "scene graph" is often employed to organize these 3D objects in the virtual space. On the other hand, image-based rendering has recently been suggested as a probable alternative VR platform for its photo-realism, however, due to limited interactivity. it has only been used for simple navigation systems. To combine the merits of these two approaches to object/scene representations, this paper proposes for a scene graph structure in which both 3D models and various image-based scenes/objects can be defined. traversed, and rendered together. In fact, as suggested by Shade et al. [1]. these different representations can be used as different LOD's for a given object. For in stance, an object might be rendered using a 3D model at close range, a billboard at an intermediate range. and as part of an environment map at far range. The ultimate objective of this mixed platform is to breath more interactivity into the image based rendered VE's by employing 3D models as well. There are several technical challenges in devising such a platform : designing scene graph nodes for various types of image based techniques, establishing criteria for LOD/representation selection. handling their transition s. implementing appropriate interaction schemes. and correctly rendering the overall scene. Currently, we have extended the scene graph structure of the Sense8's WorldToolKit. to accommodate new node types for environment maps. billboards, moving textures and sprites, "Tour-into-the-Picture" structure, and view interpolated objects. As for choosing the right LOD level, the usual viewing distance and image space criteria are used, however, the switching between the image and 3D model occurs at a distance from the user where the user starts to perceive the object's internal depth. Also. during interaction, regardless of the viewing distance. a 3D representation would be used, if it exists. Finally. we carried out experiments to verify the theoretical derivation of the switching rule and obtained positive results.