• Cartoon and Animation Studies
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• s.48
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• pp.333-358
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• 2017

Mainland China is under different conditions both socially and politically than other countries, so there is a lack of practical researches on cartoon characters. With a profound interest, the researcher has selected a character that is realistic and loved by many Chinese. The subject of the study is "Shan Mao Series." Out of 16 seasons, the most famous one is the Chronicle of Shan Mao's Wander. I analyzed the character thoroughly, dealing with the beginning of the character, the process of character development, and a reality shown in the chronicle, etc. on chapter II, and the character's image component on chapter III. Chinese modern cartoons were affected by a situational anxiety because of foreign powers and war. Thus satire cartoons went in fads among the public. The epitome of a typical cartoon was the Shan Mao Series. From 1935, when the character was first created, to now it has eaten into Chinese people's hearts. It's because the story happens during a war period and it deals with a playful, humorous main character's life and these facts show the hidden side of the unfair social system. Most of readers prefer a smart, playful, righteous, and brave character. Shan means three and mao, hair in Chinese, so Shan Mao is a child who has three hair. The character is not just a simple cartoon character; it has developed into a national figure among many Chinese. The reason why the researcher has chosen the series created by Zhang Leping, the author of the cartoon, is because a good cartoon, good animation, and even good movie stimulate the feelings that we get from our surroundings. The character which is created in China seems very unique and bizarre but there is a sense of friendliness. Also its character image and scenes make people laugh and it has become a typical symbol of a modern cartoon in China.

• Proceedings of the Korea Society of Design Studies Conference
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• 2003.11a
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• pp.62-63
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• 2003

• The Journal of the Acoustical Society of Korea
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• v.15 no.6
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• pp.90-98
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• 1996

In this paper we have proposed the sign language transformation system for deaf based on a morpheme analysis. The proposed system extracts phoneme components and connection informations of the input character sequence by using a morpheme analysis. And then the sign image obtained by component analysis is correctly and automatically generated through the sign image database. For the effective sign language transformation, the language description dictionary which consists of a morpheme analysis part for analysis of input character sequence and sign language description part for reference of sign language pattern is costructed. To avoid the duplicating sign language pattern, the pattern is classified a basic, a compound and a similar sign word. The computer simulation shows the usefulness of the proposed system.

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.8
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• pp.760-768
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• 2007

This paper introduces an emotional behavior decision model based on linear system for intelligent service robots. An emotional model should make different behavior decisions according to the purpose of the robots. We propose an emotional behavior decision model which can change the character of intelligent service robots and make different behavior decisions although the situation and environment remain the same. We defined each emotional element such as reactive dynamics, internal dynamics, emotional dynamics, and behavior dynamics by state dynamic equations. The proposed system model is a linear dynamic system. If you want to add one external stimulus or behavior, you need to add just one dimensional vector to the matrix of external stimulus or behavior dynamics. The case of removing is same. The change of reactive dynamics, internal dynamics, emotional dynamics, and behavior dynamics also follows the same procedure. We implemented a cyber robot and an emotional head robot using 3D character for verifying the performance of the proposed emotional behavior decision model.

• 전자공학회논문지 IE
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• v.47 no.3
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• pp.1-6
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• 2010

In this paper, it is designed a processor using embedded system so that moving picture can be expressed on LED electric sign board which has been expressed a simple message only like as a character or graphic. It has been fabricated a moving picture LED electric sign board which is composed to a video processor and LED display panel, in order to be able to express a digital moving picture of 24 bits that is transmitted from embedded system. It includes gamma adjustment, brightness, color contrast control, a schedule function, expression image conversion by the Internet and memory device. Also, an application program based Windows CE is designed so that a character, graphic, and moving picture can be expressed on a small LED electric sign board.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.16 no.27
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• pp.1-10
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• 1993

This study aims to find the creative management system for the Company-Wide Creativity Development(CWCD). And this study consider managemant culture to find CWCD system because managemant culture have influence on the specific character of the personality and beheavior of the system member. To consider managemant culture, this study attempt to compare Korea managemant culture with America, Japanese managemant culture. Through this study we know that we must throw the authoritarianism, the egoism and try to resurrect Korean independence to find CWCD system in korea companies.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.13 no.22
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• pp.59-64
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• 1990

This paper is aimed to study the standby redundant system with the relay of parallel structure, by making use of the character of standby system, which reliability is higher than parallel system's if the relay has higher reliability than a certain level. By assigning the low-priced relay to the subsystem, this method increases the relay reliability, optimizes the standby redundant system reliability without violating the restrictions, and consequently reduces the cost.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.278-281
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• 2006

In the Contents industry, especially in the field of game contents the area receiving the most spotlight is 3D. With qualitative and quantitative developments in games continue, interest in 3D is becoming more significant. As a result studies and actual application in the area of 3D in the game industry are being most actively conducted. It is true that 3D game characters do not have the same level of natural movement compared to the previous 2D characters. In order to overcome the limitations of movement control of the Key frame method, the method that is currently being rapidly developed is a movement control method using motion capture system. In this study, the focus is placed in production of natural character animation through movement control through linkage of 3D game characters and motion capture system. Hence, production of natural 3D game character animation through a single central action was established as the purpose of this study.

• Journal of Intelligence and Information Systems
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• v.10 no.2
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• pp.65-77
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• 2004

This paper presents a priori and the local font classification method. The font classification uses ascenders, descenders, and serifs extracted from a word image. The gradient features of those sub-images are extracted, and used as an input to a neural network classifier to produce font classification results. The font classification determines 2 font styles (upright or slant), 3 font groups (serif sans-serif or typewriter), and 7-font names (Postscript fonts such as Avant Garde, Helvetica, Bookman, New Century Schoolbook, Palatine, Times, and Courier). The proposed a priori and local font classification method allows an OCR system consisting of various font-specific character segmentation tools and various mono-font character recognizers. Experiments have shown font classification accuracies reach high performance levels of about 95.4 percent even with severely touching characters. The technique developed for tile selected 7 fonts in this paper can be applied to any other fonts.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.5
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• pp.1677-1684
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• 2010

Recently, due to the development of mobile phone and supply of smart phone, many contents have been developed. Especially, since the small-sized cameras are equiped in mobile devices, people are interested in the image based contents development, and it also becomes important part in their practical use. Among them, the character recognition system can be widely used in the applications such as blind people guidance systems, automatic robot navigation systems, automatic video retrieval and indexing systems, automatic text translation systems. Therefore, this paper proposes a system that is able to extract text area from the natural images captured by smart phone camera. The individual characters are recognized and result is output in voice. Text areas are extracted using Adaboost algorithm and individual characters are recognized using error back propagated neural network.