• Journal of Digital Convergence
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• v.16 no.5
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• pp.407-417
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• 2018

The purpose of this study was to investigate the motives for using emoticons on mobile messengers and determine whether an individual's character (extrovert/introvert) played a moderating role in the relationship between the motives and purchase intention. To achieve that, this study had 198 users in their 10s to 60s fill in a questionnaire and analysed the answers. The analysis first showed that the motives of using emoticons on mobile messengers were enjoyment, utility, simplicity, and general utility. It was also found that only enjoyment among all the motives had a significant effect on purchase intention. Finally, the analysis showed that the extrovert character of the individual using emoticons on mobile messengers played a moderating role in the effect on purchasing intention.

• Journal of Korea Multimedia Society
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• v.2 no.4
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• pp.390-399
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• 1999

Extracting the character region(container identifier) in the image of a shipping container is one of the key factors in a system for identifying a shipping container automatically To improve the performance of the automatic recognition system for identifying a shipping container, thus a method partitioning the character region more correctly and efficiently is needed. In this paper, an efficient method is proposed to extract only the character region in the image of a shipping container. The proposed method removes noises that are not possibly related to the character using morphological operation, then the image is binarized using the threshold value that is determined from the image obtained previous step. Finally individual character area is extracted from the binary image. Also experiments are conducted to verify the efficiency of the proposed method. The results show that the proposed method partitions the character region correctly from container images.

• ETRI Journal
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• v.32 no.5
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• pp.729-739
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• 2010

Due to the rapid development of mobile devices equipped with cameras, instant translation of any text seen in any context is possible. Mobile devices can serve as a translation tool by recognizing the texts presented in the captured scenes. Images captured by cameras will embed more external or unwanted effects which need not to be considered in traditional optical character recognition (OCR). In this paper, we segment a text image captured by mobile devices into individual single characters to facilitate OCR kernel processing. Before proceeding with character segmentation, text detection and text line construction need to be performed in advance. A novel character segmentation method which integrates touched character filters is employed on text images captured by cameras. In addition, periphery features are extracted from the segmented images of touched characters and fed as inputs to support vector machines to calculate the confident values. In our experiment, the accuracy rate of the proposed character segmentation system is 94.90%, which demonstrates the effectiveness of the proposed method.

• Journal of Korea Game Society
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• v.3 no.2
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• pp.86-92
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• 2003

Today, the visual description of body is viewed in various categories, and the circumstance of computers is regarded as new type of communication beyond the circumstance of individual body. In cyber space, when existence and role of character in computer game constitute communication, the ideal body description of each character depicts dramatic beauty, which rises above reality. On this thesis, analyzing the body description and transition on visual in, I grope for a method to utilize in creating game character which is modeled from ideal human being. Although the progress of producing character has already come to limit, concluding that we have to create character model which has marked individuality and beauty by adding modem and future analysis to the golden ratio, which has established since ancient Greece, this paper suggests the method of creating character which has the image of ideal human body.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.5
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• pp.611-615
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• 2010

In this paper, we propose a method that exaggerate a character motion using quadratic deformation. While the previous methods tend to exaggerate a rotational motion of an individual joint angle, our method attempt to model the poses of a whole body at each frame and exaggerate those, so that the whole-pose action of the character can be exaggerated. Our method can be computed in real-time, and prevents a joint motion that rotates unexpected direction.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.28B no.5
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• pp.382-393
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• 1991

In this paper, we propose a method for recognizing printed Korean characters using the Preceding Layer Driven multi-layer perceptron. The new learning algorithm which assigns the weight values to an integer and makes use of the transfer function as the step function was presented to design the hardware. We obtained 522 Korean character-image as an experimental object through scanner with 600DPI resolution. The preprocessing for feature extraction of Korean character is the separation of individual character, noise elimination smoothing, thinnig, edge point extraction, branch point extraction, and stroke segmentation. The used feature data are the number of edge points and their shapes, the number of branch points, and the number of strokes with 8 directions.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.8 no.3
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• pp.225-230
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• 2008

In this paper we embody a system that recognizes printed alphabet, numeral figures and symbols written on the keyboard for the recognition of English sentences. The image of the printed sentences is inputted and binarized, and the characters are separated by using histogram method that is the same as the existing character recognition method. During the abstraction of the individual characters, we classify one group that has not numerical information by the projection of the vertical center of the character. In case of another group that has the longer width than the height, we assort them by normalizing the width. The other group normalizes the height of the images. With the reverse application of the basic principle of the Japanese Puzzle to a normalized character image, the proposed system classifies and recognizes the printed numeral figures, symbols and characters, consequently we meet with good result.

• Journal of the Korean Society of Costume
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• v.35
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• pp.195-210
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• 1997

Movie clothing is what is recreated as a character in work after being worn for actors (or actresses). And it is not added for heightening only fantasy but it acts for heightening only fantasy but it acts for reinforcing the side of character or subject. Especially the clothing in color movie gets to have very psychological effect. Thus Accord-ing to the clothing the effect of the represen-tation style may become large and small. So as to make the gesture or attitude of each character valuable in accordance with the ac-tion and expression of the figure clothing is different from other device essentially One may attain various goals through the color of movie clothing, First movie clothing may show the vogue color of the time and the representative time color, Second the color of movie clothing helps one to able to recognize the socio-econmic position of character easily as the color to symbolize the specific jobs such as nurse soldier and doctor etc. Third the color of movie clothing may show the charcter temperament as to whether one is young or old and whether one has pessi-mistic temperament or one is extrovert or introversive etc. easily. Fourth setting the clothing color of hero as the color to set off helps it easy to distinguish from representation staffs. Fifty the whole color establishment of movie clothing gives help to expressing the at-mosphere of movie. Color is one of the most powerful means that the person in charge of clothing may express the character of movie. He should ex-press the feature of a wearer with the colors of each clothing through showing the lack of taste of characters or hinting the resistant character with the clothing color which is not suitable for situation or the conservative character with suppressed color etc. Thus he (or she) should express the clothing color which is suitable for being able to express each character by analyzing the work whole through script and grasping the character of each character so as to establish the clothing which is suitable for individual character.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.9-18
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• 2016

ICT is still lacking relevant studies and efforts even though it needs to be accompanied by character education. Against this backdrop, this study has developed and operated an education program that combines ICT with character education and conducted surveys on its accomplishments. The research findings are as follows. The analysis of theme-based correlations has revealed that individual's character has not significantly affected character for others and global character and that building character for others have made a significant impact on establishing global character with a high level of correlations. Therefore, I have found that a program involving a group of people together such as team-based task has a positive effect on fostering problem-solving talents with global leadership. It is hard to obtain tangible results in character education in a short period of time but I would like to contribute to laying the foundation for cultivating and fostering talents equipped with global leadership while respecting oneself and caring for others in everyday life through these classes. There is a study on convergence of character education and different subjects, left behind of this study.

• The Journal of the Korea Contents Association
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• v.13 no.9
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• pp.10-19
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• 2013

This Paper proposed the development of new magnetic sensor and recognition system to expendite pattern recognition of a handwriting character. Received character graphics should be performed the session and balancing and no extraction of end points, bend points and juntions separately. The Artifical intelligence algorithm is adapted to structure snalysis and recognition process by individual basic letter dictionary except for the handwriing character graphic dictionaryimproving error of recognition algorithm and enomous dictionary for generalization. In this Paper, recognition rate of the received character are compared with pre registered character at letter dictionary for performance test of magnetic ball sensor. As a result of unicode conversion and eomparison, the artificial intelligence study have recognition rate more than 95% at initial recognition rate of 70%.