• Journal of Korea Multimedia Society
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• v.12 no.5
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• pp.745-756
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• 2009

An autonomous virtual character can conduct itself like a human after recognizing and interpreting the virtual environment. Artificial vision is mainly used in the recognition of the environment for a virtual character. The present artificial vision that has been developed takes all the information at once from everything that comes into view. However, this can reduce the efficiency and reality of the system by saving too much information at once, and it also causes problems because the speed slows down in the dynamic environment of the game. Therefore, to construct a vision system similar to that of humans, a visual observation system which saves only the required information is needed. For that reason, this research focuses on the descriptive artificial intelligence engine which detects the most important information visually recognized by the character in the virtual world and saves it into the memory by degrees. In addition, a visual system is constructed in accordance with an image transaction theory to make it sense and recognize human feelings. This system finds the attention area of moving objects quickly and effectively through the experiment of the virtual environment with three dynamic dimensions. Also the experiment enhanced processing speed more than 1.6 times.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.12A
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• pp.1181-1187
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• 2010

This paper proposes a mobile AI (Artificial Intelligence) conducting decision-making in the game through education for intelligent character on the basis of Neural Network. Neural Network is learned through the input/output value of the algorithm which defines the game rule and the problem solving method. The learned character is able to perceive the circumstances and make proper action. In this paper, the mobile AI using Neural Network has been step-by-step designed, and a simple game has been materialized for its functional experiment. In this game, the goal, the character, and obstacles exist on regular 2D space, and the character, evading obstacles, has to move where the goal is. The mobile AI can achieve its goals in changing environment by learning the solution to several problems through the algorithm defined in each experiment. The defined algorithm and Neural Network are designed to make the input/output system the same. As the experimental results, the suggested mobile AI showed that it could perceive the circumstances to conduct action and to complete its mission. If mobile AI learns the defined algorithm even in the game of complex structure, its Neural Network will be able to show proper results even in the changing environment.

• Journal of Broadcast Engineering
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• v.23 no.1
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• pp.53-62
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• 2018

It is necessary to analyze the character that are a key element of the story in order to analyze the story. Current character analysis methods such as Character-net and RoleNet are not sufficient to classify the roles of supporting characters by only analyzing the results of the final accumulated stories. It is necessary to study the time series analysis method according to the story progress in order to analyze the role of supporting characters rather than the accumulated story analysis method. In this paper, we propose a method to classify helpers as a mentor and a best friend through 3-D visualization of Character-net and evaluate the accuracy of the method. WebGL is used to configure the interface for 3D visualization so that anyone can see the results on the web browser. It is also proposed that rules to distinguish mentors and best friends and evaluated their performance. The results of the evaluation of 10 characters selected for 7 films confirms that they are 90% accurate.

• East Asian mathematical journal
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• v.36 no.2
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• pp.273-289
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• 2020

This study introduces the process and results of developing an adaptive math learning program for self-directed learning. It presented the process and results of developing an adaptive math learning program that takes into account the level of learners using artificial intelligence. We wanted to get some suggestions on developing programs for artificial intelligence-based mathematics. The program was developed as Math4U, an application based on smart devices in the "character and expression" area for 7th grade. The Application Math4U may be used differently depending on its purpose. It is also expected to be a useful tool for providing self-directed learning to students as the basis for educational research using smart devices in a changing educational environment.

• Journal of Korea Multimedia Society
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• v.20 no.10
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• pp.1697-1709
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• 2017

This paper aims to investigate the effect of anticipatory motion in Wall E (2008). For the purpose of the study, first of all, an overall discussion on the definition and role of anticipation presented through the related literature review. Based on this, the present study analyzed the functions of anticipatory movements of the main characters, Wall E and EVE in 29 scenes. As a result, this paper found that anticipation is involved in expressions of humanity, thought process, utterance and intonation, the degree of emotion and energy, reinforcement of the character's intention, and biological response within the film. Overall, these findings show that anticipation takes an important part in giving the illusion of life to the characters throughout the movie, which may imply that anticipation can be beneficial for characters with abstract form or limited modality. The ultimate goal of this study is to propose that the animation principles can be used as a tool to analyze character animation and can be applied academically or industrially to other fields such as artificial intelligence.

• KIEAE Journal
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• v.9 no.3
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• pp.29-36
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• 2009

Interior material covering as the final process of house-building, critically influences not only aesthetic character but also air quality of indoor space. Wall covering today, however, caused a serious social problem because of chemicals contained in the industrial wallpaper and artificial glue. In this context, Korean traditional wall covering of Han-ji can be an alternative model due to it's ecological character. Recently 'Hanok' attracts public attention, since society and people become to appreciate the unique beauty and value of our traditional culture. The values include natural beauty, emotional character, and environment-friendliness. Recognizing this, this paper intended to scrutinize the operating process of Han-ji as an interior finish material. Historical research method was employed, tracing the related articles in old literature and interviewing with the witness of the experienced expert. Thereby, healthier and unique aesthetic indoor environment can be expected to be sustainable along with the rich cultural life of ancestors.

• Journal of Korea Multimedia Society
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• v.10 no.5
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• pp.631-641
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• 2007

The domestic game market is developmental in the form which is strange produces only the MMORPG. But the level of the intelligence elder brother character is coming to a standstill as ever. It uses a gene algorithm and the neural network from the dissertation which it sees and embodies the character which has a more superior intelligence the plan which to sleep and it presents it does. When also currently it is used complaring different artificial intelligence technologies and this algorism from the MMORPG, the efficiency proves is not turned over and explains the concrete algorithm it will be able to apply in the MMORPG and an embodiment method.

• Electronics and Telecommunications Trends
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• v.37 no.5
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• pp.22-32
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• 2022

Optical character recognition is a primary technology required in different fields, including digitizing archival documents, industrial automation, automatic driving, video analytics, medicine, and financial institution, among others. It was created in 1928 using pattern matching, but with the advent of artificial intelligence, it has since evolved into a high-performance character recognition technology. Recently, methods for detecting curved text and characters existing in a complicated background are being studied. Additionally, deep learning models are being developed in a way to recognize texts in various orientations and resolutions, perspective distortion, illumination reflection and partially occluded text, complex font characters, and special characters and artistic text among others. This report reviews the recent deep learning-based text detection and recognition methods and their various applications.

• Journal of Sport and Applied Science
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• v.7 no.1
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• pp.1-10
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• 2023

Purpose: This paper analyzed the features of Winter Olympics mascots in chronological order by examining the evolution of mascots and presented the attributes of the Winter Olympics mascots from Innsbruck 1976 to Beijing 2022. Research design, data, and methodology: This paper conducted an exploratory study on the thinking to understand the characteristics of 13 Winter Olympics Mascots through literature review. Results: First, the mascot is a fictional character, usually an artificial character that represents the locality of the host city, including animals, human figures, and local inhabitants. Second, Schneemann, Innsbruck 1976 was known as the first official Winter Olympics mascot. Third, 19 mascots out of a total of 24 mascots were created using animals. Conclusions: The six attributes of the Winter Olympics mascots were identified: friendliness, symbolic meaning, originality, diversity, value, and identity of a special location. Above all, Winter Olympics has a locality that includes areas covered with ice and snow. From this point of view, the Olympics mascot highlights the image of snow and ice and the physical environment that includes it.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.1255-1255
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• 2004