• Journal of Digital Convergence
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• v.14 no.10
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• pp.277-285
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• 2016

The purpose of this study is to quantitatively and empirically investigate whether cartoon-realism, which is referred to as a guideline for avoiding the uncanny valley phenomenon, is actually effective. An experiment was carried out to investigate whether or not methods that try to realistically express the texture of human skin while making 3D models whose outward appearance abstract like a cartoon actually reduce the negative sentiments associated with the uncanny valley phenomenon. The results found that when human skin textures were applied to cartoon-type 3D models, the degree of eeriness significantly increased (p<0.05), while there was no change in the degree of human likeness. When cartoon-style skin textures were applied to human-type 3D models, there was no significant difference in the degree of eeriness, but the degree of human likeness significantly decreased (p<0.05). These results show that, cartoon realism is not actually effective, and rather creates a perceptual conflict and induces the uncanny valley phenomenon. The results of this study are expected to be used as quantitative and empirical data for developing design guidelines that will overcome the uncanny valley phenomenon in the future.

• Cartoon and Animation Studies
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• s.27
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• pp.221-247
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• 2012

In this study, we examined the sense of tradition and cultural traditions which make up Japanese ubiquitous society. These include the traditional elements which affect the lives of contemporary Japanese people. In this research we looked for various media (mobile phones, blog, characters goods, cinema) which appeared in the traditional elements. The results of the study are as follows: The traditional elements which affect contemporary Japanese lives include modern devices such as use of anonymous "blogging", mobile phones "youth culture"(especially by males), and "cute" character vocabulary use (especially by females), while traditional values(yakuza, sumo, human relationships) are represented in Japanese cinema. Through this study, we have found the points where traditional Japanese culture and cultural sense have been reinterpreted and affected both directly and indirectly through modern media. This study contributes to cultural research by delineating the various stimuli to consider for successful content service adoption in a global setting, which can account for differential impacts across regions. The results not only help develop a sophisticated understanding of customer behavior theories for researchers, but they also offer useful knowledge to those involved in promoting culture content to potential purchasers.

• Journal of KIISE:Software and Applications
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• v.35 no.9
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• pp.554-561
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• 2008

Prediction technique of user's intention can be used as a post-processing method for reducing the search space of an automatic speech recognizer. Prediction technique of system's intention can be used as a pre-processing method for generating a flexible sentence. To satisfy these practical needs, we propose a statistical model to predict speakers' intentions that are generalized into pairs of a speech act and a concept sequence. Contrary to the previous model using simple n-gram statistic of speech acts, the proposed model represents a dialogue history of a current utterance to a feature set with various linguistic levels (i.e. n-grams of speech act and a concept sequence pairs, clue words, and state information of a domain frame). Then, the proposed model predicts the intention of the next utterance by using the feature set as inputs of CRFs (Conditional Random Fields). In the experiment in a schedule management domain, The proposed model showed the precision of 76.25% on prediction of user's speech act and the precision of 64.21% on prediction of user's concept sequence. The proposed model also showed the precision of 88.11% on prediction of system's speech act and the Precision of 87.19% on prediction of system's concept sequence. In addition, the proposed model showed 29.32% higher average precision than the previous model.

• Journal of Science Education
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• v.41 no.2
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• pp.226-247
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• 2017

The purpose of this study is to develop the exhibition model of children's science museum for children and to present the guideline for the exhibition of children's science museum. To this end, we proposed an exhibition of 'body', 'surrounding things', and 'natural phenomenon' as exhibition topics based on the exhibit evaluation framework and kindergarten curriculum. The direction and color elements are important for the exhibition of 'the body', and the presentation of the 'natural phenomenon' is suitable for the use of contextual media applying color and lighting. And it can be said that it is important to provide clues and fixtures for exploring objects based on the theme of 'surrounding objects'. In addition, in order to secure the validity of the developed exhibition model, we developed an exhibition link program for the 'mirror' exhibition of the exhibition model and applied it to visitors to the Gwangju Museum of Science. Therefore, it is meaningful that it provides the basic guidelines for exhibition planning, and it is necessary to plan exhibition to maximize the exhibition effect by directing exhibition contents, exhibition media and exhibition space suitable for the audience.

• Journal of Internet Computing and Services
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• v.19 no.1
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• pp.97-103
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• 2018

In oriental paintings, there is Luo-kuan that expressed in a single picture by compressing the artist's information. Such Luo-kuan includes various information such as the title of the work or the name of the artist. Therefore, information about Luo-kuan is considered important to those who collect or enjoy oriental paintings. However, most of the letters in the Luo-kuan are difficult kanji, kanzai, or various shapes, so it is difficult for the ordinary people to interpret. In this paper, we developed an Luo-kuan search application to easily check the information of the Luo-kuan. The application uses a search algorithm that analyzes the captured Luo-kuan image and sends it to the server to output information about the Luo-kuan candidates that are most similar to the Luo-kuan images taken from the database in the server. We also compared and analyzed the accuracy of the algorithm based on 170 Luo-kuan data in order to find out the ranking of the Luo-kuan that matched the Luo-kuan among the candidates. Accuracy Analysis Experimental Results The accuracy of the search algorithm of this application is confirmed to be about 90%, and it is anticipated that it will be possible to develop a platform to automatically analyze and search images in a big data environment by supplementing the optimizing algorithm and multi-threading algorithm.

• Journal of KIISE:Software and Applications
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• v.30 no.1_2
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• pp.173-183
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• 2003

Morphological analysis is the most widely used method for extracting nouns from Korean texts. For every Eojeol, in order to extract nouns from it, a morphological analyzer performs frequent dictionary lookup and applies many morphonological rules, therefore it requires many operations. Moreover, a morphological analyzer generates all the possible morphological interpretations (sequences of morphemes) of a given Eojeol, which may by unnecessary from the noun extraction`s point of view. To reduce unnecessary computation of morphological analysis from the noun extraction`s point of view, this paper proposes a method for Korean noun extraction considering noun occurrence characteristics. Noun patterns denote conditions on which nouns are included in an Eojeol or not, which are positive cues or negative cues, respectively. When using the exclusive information as the negative cues, it is possible to reduce the search space of morphological analysis by ignoring Eojeols not including nouns. Post-noun syllable sequences(PNSS) as the positive cues can simply extract nouns by checking the part of the Eojeol preceding the PNSS and can guess unknown nouns. In addition, morphonological information is used instead of many morphonological rules in order to recover the lexical form from its altered surface form. Experimental results show that the proposed method can speed up without losing accuracy compared with other systems based on morphological analysis.

• Journal of KIISE:Software and Applications
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• v.31 no.4
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• pp.447-456
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• 2004

Information extraction is a process of recognizing and fetching particular information fragments from a document. In order to extract information uniformly from many heterogeneous information sources, it is necessary to produce information extraction rules called a wrapper for each source. Previous methods of information extraction can be categorized into manual wrapper generation and automatic wrapper generation. In the manual method, since the wrapper is manually generated by a human expert who analyzes documents and writes rules, the precision of the wrapper is very high whereas it reveals problems in scalability and efficiency In the automatic method, the agent program analyzes a set of example documents and produces a wrapper through learning. Although it is very scalable, this method has difficulty in generating correct rules per se, and also the generated rules are sometimes unreliable. This paper tries to combine both manual and automatic methods by proposing a new method of learning information extraction rules. We adopt the scheme of supervised learning in which a user-interface agent is designed to get information from the user regarding what to extract from a document, and eventually XML-based information extraction rules are generated through learning according to these inputs. The interface agent is used not only to generate new extraction rules but also to modify and extend existing ones to enhance the precision and the recall measures of the extraction system. We have done a series of experiments to test the system, and the results are very promising. We hope that our system can be applied to practical systems such as information-mediator agents.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.262-272
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• 2017

This study will analyze a case that utilizes not just the characters, which are a primary licensing component in traditional animation licensing, however secondary images such as animation backgrounds, and one that has visually extended their brand. Secondary image plays an important role in developing the narration of the animation, and provides the space where the narrative takes place. It also gives important clues for the characters to be able to develop a narrative, through its chronological and geographical dimensions. This study distinguishes the components that can be used in the licensing process of an original animation into primary usage and secondary usage, and defines the scope of each. Focused on two collaboration cases, Disney's The Jungle Book & KENZO, and Disney's Alice in Wonderland & Marc by Marc Jacobs, It investigates the relationship of visual utilization between the expressive components related to secondary usage in the collaborative case of licensing, and the actual product. This study found the possibility of secondary images as a vehicle to deliver brand identity. As the spectrum of licensing elements is extended, it is necessary to develop an alternative licensing system for the new process of collaboration.

• Journal of Food Hygiene and Safety
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• v.35 no.6
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• pp.535-543
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• 2020

In addition to the ubiquitous roles of cellular RNA in genetic regulations, gene expression and phenotypic variations in response to environmental cues and chemotactic signals, the regulatory roles of a new type of RNA called extracellular RNAs (exRNAs) are an up-and-coming area of research interest. exRNA is transported outside the cell through membrane blebs known as membrane vesicles or extracellular vesicles (EVs). EV formation is predominant and conserved among all microbial forms, including prokaryotes, eukaryotes, and archaea. This review will focus on the three major topics concerning bacterially derived exRNAs, i.e., 1) the discovery of exRNA and influence of extraneous RNA over bacterial gene regulations, 2) the known secretion mechanism for the release of exRNA, and 3) the possible applications that can be devised with these exRNA secreted by different gram-negative and gram-positive bacteria. Further, this review will also provide an opinion on exRNA- and EV-derived applications such as the species-specific exRNA markers for diagnostics and the possible roles of exRNA in probiotics and the epigenetic regulations of the gut microbiome.

• Journal of the Korea Convergence Society
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• v.13 no.2
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• pp.151-166
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• 2022

Museum is the carrier and symbol of history and cultural accumulation, and the museum cultural relics are clues with the spirit of history. Moreover, the museum cultural and creative products are portable history. Museum has changed form the traditional "object-basic" model to the modern "people-basic" model, which pays more attention to its living inheritance. Therefor, the museum cultural and creative products is also the way of expression of its living inheritance. This paper analyzes the opportunities and difficulties of cultural and creative products of Chinese museums by means of network survey, field survey and expert interview. In order to improve the design method of cultural and creative products. By exploring the cultural connotation, broadening the functional factors, innovating the design factors and creating the empathy factor between products and people to explore and the verify. Trying to make up the imperfect design methods of cultural and creative products in small and medium-sized museums which leads to the lack of function, innovation and communication of cultural and creative products. We try to attract more people's attention, spread traditional culture and realize the resonance between people and objects.