• Korean Institute of Interior Design Journal
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• v.15 no.4 s.57
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• pp.64-72
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• 2006

The purpose of this study is to interpret Korean traditional space as text on the basis of Structuralism. The process of this study is illustrated as follows: At first, this research contains basic concepts and theories of Structuralism and discusses the possibilities of typological approaches in Korean traditional space interpretation. Secondly, As typological structure of traditional space, spacial and visual expressive characteristics in traditional residential space based on traditional thoughts of Koreans formed with inherent consciousness are considered with Hjelmslev's Structuralism and Wonhyo's Whajaeng theory. Finally, This study tries conceptual analysis based on Lacan's Metaphor and Metonymy emerged from unconscious mechanisms about interpretation and induction of the traditional spacial structure for contemporary Application. Structure is a group of elements forming a covariant ensemble. From this point of view, this study validates that texts are understood when methods that bring back to the creative processes and intentions are found by Text Hermeneutics.

• The Mathematical Education
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• v.43 no.1
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• pp.70-85
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• 2004

Comparing to the other subject, hierarchy among mathematical contents is strong from the perspective of knowledge order as grades go up. That is, the knowledge that students already have learned, are learning and will learn are closed related from grade to grade. We expect students to be proactive and creative in studying mathematics, which is the goal of 21th century, analyzing their. knowledge structure based on the hierarchy of knowledge through assessment. Especially, using computer system we provide students with substantial feedback for the assessment as well as objective validity is increased along with speedy and exact process in a bid to help students' mathematical understanding grow. This paper seeks to analyze the assessment data by applying knowledge spaces to computer system and develops efficient methods based on the analyzed results, to diagram each student's knowledge structure.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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• pp.58-59
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• 2016

Along with the logistics development, heavy-loaded warehouses and sales facilities tend to be bigger and designed as a PC structures. PC erection work of heavy-loaded structures is influenced by various factors, including the required construction duration, site and surrounding situations, safety, PC member procurement, equipment rental cost, which ultimately impact the construction cost. It requires creative efforts and a lot of time when preparing an erection plan in consideration of these factors, and the plan prepared has a great influence on safety as well as the construction duration and cost. However, many engineers do not have enough experiences on PC erection work of heavy-loaded, long span structures, making it difficult for them to set erection plans and establish simulations. The study's results will provide a knowledge to obtain a solution for engineers to establish PC erection plans of heavy-loaded, long span structures.

• Lingua Humanitatis
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• v.5
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• pp.265-289
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• 2003

This paper deals with the polysemous phenomenon of perception verbs in terms of metaphor and metonymy and suggest a model of cognitive semantic structure for them. English perception verbs are often used for representing a mental, cognitive activity as well as representing a physical, perceptive activity. This paper looks for a basis for the polysemous use in the creative system of metaphor and metonymy, especially in the meaning extension function of mind-as-body metaphor. English perception verbs show a good example of a metaphor of domain transfer from physical domain to mental or cognitive domain. This paper suggests the conceptual chain and the semantic structure for the perception verb to show the possibility of polysemy and contextual modulation.

• Journal of Information Technology Services
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• v.11 no.4
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• pp.309-333
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• 2012

Recently, emergence of smart-phones and Social Networking Service(SNS) would offer the market environment changes and the opportunities for new business. For the case analysis comprehensive survey were implemented. And those data were analyzed along the research framework. The late-comer firms offered differential services, maintained creative and opened corporate culture, shoed learning capabilities which means absorption and organization of external knowledge, innovative efforts to control the insurgents than early-mover firms. When we analyze these phenomena along the developmental stages of late-comer, we can perceive that the stage of late-comers firms were moving from the "tracing the path" stage to "jumping the path" stage which means the creating capabilities were more or less enhanced and the firms become more stable in terms of business operation. In business model, early-mover firms showed clear definition for each business element, especially the revenue structure, while late-mover firms seemed unstable or unclear revenue structure.

• Journal of Korea Multimedia Society
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• v.24 no.2
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• pp.255-266
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• 2021

Most common web or application system architectures have central network. As a result, central network can be supervised and controlled in all situation. And It has the advantage of easy to manage and fast to work. However, central network have a disadvantage of weak to security and unclear. In particular, many institutions used by web system be has many problems by central network. In this paper, we proposed blokchain technology based on ethereum to resolve of problem and trading structure that arise in cental network. We propose a decentralized application based on points including cryptocurrency functions and smart contract to the advantages of blockchain with a decentralized structure. The results of the performance experiment are as follows; It has shown the advantages of reliable use and security in a variety of environments(Windows, Ubuntu, Mac).

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.6
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• pp.949-964
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• 2021

Accumulation of high-quality data is crucial for AI learning. The goal of using AI in fashion service is to propose of a creative, personalized solution that is close to the know-how of a human operator. These customized solutions require an understanding of fashion products and emotions. Therefore, it is necessary to accumulate data on the attributes of fashion products and fashion emotion. The first step for accumulating fashion data is to standardize the attribute with coherent system. The purpose of this study is to propose a fashion emotional classification system. For this, images of fashion products were collected, and metadata was obtained by allowing consumers to describe their emotions about fashion images freely. An emotional classification system with a hierarchical structure, was then constructed by performing frequency and CONCOR analyses on metadata. A final classification system was proposed by supplementing attribute values with reference to findings from previous studies and SNS data.

• Management & Information Systems Review
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• v.39 no.1
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• pp.75-91
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• 2020

The purpose of this study is to examine the application of in-depth interviews in terms of exploration on the basis of the theoretical basis of various aspects of consumer empathy, and the question of whether the consumer can expand to the process of self empathy. Most studies related to consumer empathy divide the responsive dimension of consumer empathy into rational and emotional dimension based on empathy theory, and look at the empathic response perceived by consumers to the stimulus presented from the current point of view. In this study, however, we want to go one step further and confirm that the consumers themselves can ultimately go to the self-empathy stage by forming a creative street of reproduction and redevelopment. As a result of exploratory research through in-depth interviews, it was indirectly confirmed that consumer's empathetic response to specific marketing stimulus exists at the level of creative and self-empathetic as well as the emphasis of previous studies. Based on these findings, this study confirmed that consumer empathetic responses could go beyond a single dimension to form a multidimensional structure and move toward an expanded structure of empathic self-creation. This suggests that consumers' empathic responses should be grasped in terms of continuity of empathic responses rather than explained in a specific dimension. Although this study is meaningful as an early research of exploratory nature, it is necessary to supplement various content validity and refine the research method through subsequent studies. This study is expected to expand the understanding that consumer's empathy can be extended to other people's empathy and to be self-empathy.

• Journal of Korean Theatre Studies Association
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• no.49
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• pp.75-100
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• 2013

An on-going creative process was the major principle of Kantor's artistic endeavors. Kantor's emphasis on process grew out of his frustration with the experience of creation being isolated from the audience in the present time, during the moments of encounter. At the same time, however, Kantor was always aware of the fact that the first night of each and every performance that he made was the last point of his creative intervention. Despite being performed live in the present time, Kantor saw theatre essentially as an end product. This does not mean that Kantor abandoned the concept of on-going process, for process was for the artist a means to reject the idea of a finished work of art and to denounce the feeling of satisfaction derived from the traditional denouement in representational theatre. For him, theatre that dominated his time isolated the audience from the art work and the artist, and from this perspective his continual emphasis on process should be understood as an aesthetic principle in order to open up and expand the dimension of art into the realm of the spectator so that the experiences of both the artist and spectator may coexist. The heaviest barrier that separated the artist and his work from its audience was the creative structure that governed Western art. In theatre it was the dramatic structure that was the main object of his series of severe challenges. Not only did it fail to represent reality but it distorted reality, creating nothing but artificial illusion. Under this condition, all that was permitted to the audience was mirages. However, Kantor never completely discarded illusion from his theatre. The point for him was always to created a circumstance where the illusory reality of drama comes to exist within the dimensions of our reality. It was Kantor's belief that instead of a total denial of illusion, his theatre should strategically accommodate illusion which comes from reality. And, the aim of Kantor's theatrical experiments was to invite the audience into this ambience and transform the experience of his audience into a much more participatory one. This paper traces the ways in which Kantor transgressed the dominating conventions of representational, literary theatre, and how such attempts induced an alternative mode of spectatorship. The study will begin from an investigation into Kantor's attitude towards illusion and reality, and then move onto a closer inspection of how he spatially and dramaturgically materialized his concepts on stage, giving special focus on Wielopole, Wielopole.

• Korean Journal of Remote Sensing
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• v.39 no.2
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• pp.143-156
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• 2023

To precisely and reliably analyze the contents of the satellite imagery, recognizing the clouds which are the obstacle to gathering the useful information is essential. In recent times, deep learning yielded satisfactory results in various tasks, so many studies using deep neural networks have been conducted to improve the performance of cloud detection. However, existing methods for cloud detection have the limitation on increasing the performance due to the adopting the network models for semantic image segmentation without modification. To tackle this problem, we introduced the multi-branch neural architecture search to find optimal network structure for cloud detection. Additionally, the proposed method adopts the soft intersection over union (IoU) as loss function to mitigate the disagreement between the loss function and the evaluation metric and uses the various data augmentation methods. The experiments are conducted using the cloud detection dataset acquired by Arirang-3/3A satellite imagery. The experimental results showed that the proposed network which are searched network architecture using cloud dataset is 4% higher than the existing network model which are searched network structure using urban street scenes with regard to the IoU. Also, the experimental results showed that the soft IoU exhibits the best performance on cloud detection among the various loss functions. When comparing the proposed method with the state-of-the-art (SOTA) models in the field of semantic segmentation, the proposed method showed better performance than the SOTA models with regard to the mean IoU and overall accuracy.