• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.5
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• pp.3240-3250
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• 2014

This study aims to draw a correlation in the choice of automobiles as the preferred mode of personal transport in relation to three factors: 5Ds, urban form and individual-level characteristics. The analysis result shows that the control at the individual level is required to analyze effective urban character and urban form elements to decrease the car choice and the 5Ds demonstrate meaningful relation to decreasing the car choice. However, it may be concluded that the density and the diversity, well-known elements in decreasing the car choice among Western cities do not show relatively large impact on Korean cities.

• Cartoon and Animation Studies
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• s.14
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• pp.65-82
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• 2008

The animation is expressed by fusing the character's aesthetic feature and action in the entire structure and such creation of the character is needed to approach with understanding its socio-cultural background and dramatic structure. This study has started for the reason that there is a need of making an animation character based on reality, as well as to develop a individual character and narrative skill at the same time. In this study, analyzing through the DSM-IV (Diagnostic and Statistical Manual of Mental Disorders) by the American Psychiatric Association, APA), I have been able to come to a conclusion in which the character's personality is presented more exaggeratingly than its ordinary tendency. So it is used as a means to occur a dramatic motive-induction and probability. Futhermore, applying the same condition of the personality disorders to the animation character has changed the narrative development and it showed a result that even the character is not having the problem of personality disorders, it shows the nature of personality disorders-like is being appeared exaggeratingly or increasingly.

• Journal of Korea Multimedia Society
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• v.16 no.9
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• pp.1098-1108
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• 2013

Customizing system is acting a main role for the character production system of MMORPG. However, since using the high degree of freedom in MMORPG, these characters are too individual and lack of awareness. We can describe each character's emotional characteristics and understand the correlation of characters more easily by adjusting design factors capable of cognitive decision to characters. Game character developer should consider seeking efficient character design process that is suitable to MMORPG game environment and users for proper character recognition and promoting character preferences. In addition, this research being extended on the article vol.13, no.3, "A Study on Cognitive and Preference of Games' Character" on Korean Society of Basic Design in June 2012 issue and this study is expected to have effectives as one method for the purpose of this research is to inquire and present what type of relation lies between recognition and preference of game characters of MMORPG.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.4
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• pp.451-455
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• 2008

In this paper we embody a system that recognizes the printed alphabet of two font types (Batang, Dodum) inputted by a black-and-white CCD camera and converts it into an editable text form. The image of the inputted printed sentences is binarized, then the rows of each sentence are separated through the vertical projection using the Histogram method, and the height of the characters are normalized to 48 pixels. With the reverse application of the basic principle of the Nonogram puzzle to the individual normalized character, the character is covered with the pixel-based squares, representing the characteristics of the character as the numerical information of the Nonogram puzzle in order to recognize the character through the comparison with the standard pattern information. The test of 2609 characters of font type Batang and 1475 characters of font type Dodum yielded a 100% recognition rate.

• Journal of Information Technology Services
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• v.20 no.6
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• pp.97-105
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• 2021

Recently, with the development of IT technology, unmanned systems are being introduced in many industrial fields, and one of the most important factors for introducing unmanned systems in the automobile field is vehicle licence plate recognition(VLPR). The existing VLPR algorithms are configured to use image processing for a specific type of license plate to divide individual areas of a character within the plate to recognize each character. However, as the number of Korean vehicle license plates increases, the law is amended, there are old-fashioned license plates, new license plates, and different types of plates are used for each type of vehicle. Therefore, it is necessary to update the VLPR system every time, which incurs costs. In this paper, we use an object detection algorithm to detect character regardless of the format of the vehicle license plate, and apply a handwritten Hangul recognition(HHR) algorithm to enhance the recognition accuracy of a single Hangul character, which is called a Hangul unit. Since Hangul unit is recognized by combining initial consonant, medial vowel and final consonant, so it is possible to use other Hangul units in addition to the 40 Hangul units used for the Korean vehicle license plate.

• The Transactions of the Korea Information Processing Society
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• v.4 no.1
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• pp.184-194
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• 1997

In the recent years number of commercial off-line character recognition systems have been appeared in the Korean market. This paper describes a "self -organizing" data structure for representing a large dictionary which can be searched in real time and uses a practical amount of memory, and presents a study on the character correction for off-line printed sentence marks, Japanese, English, and Chinese character recognition. Self-organizing algorithm can be recommenced as particularly appropriate when we have reasons to suspect that the accessing probabilities for individual words will change with time and theme. The wrongly recognized characters generated by OCR systems are collected and analyzed Error types of English characters are reclassified and 0.5% errors are corrected using an English character confusion table with a self-organizing dictionary containing 25,145 English words. And also error types of Chinese characters are classified and 6.1% errors are corrected using a Chinese character confusion table with a self-organizing dictionary carrying 34,593 Chinese words.ese words.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.105-113
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• 2019

This study is to analyze the concentration of visual perception of the subject through the eye-tracking experiments targeting popular characters and to investigate it is effective to highlight which part of the character in inducing consumers' interest and curiosity. As a result of the study, the subjects paid more attention to the face than the character's body, and also noted a little attention to auxiliary elements such as pants, tees, shoes, and whiskers. These results mean there is clearly different factor in which the subject's gaze on the character frequently stays and does for a long time. Therefore, the designers should recognize the differences of the concentration of visual perception by character components as a differentiating factor to feel the emotional satisfaction such as the user's interest, empathy, and immersion in the character and actively reflect it when developing the character design. In addition, there was a difference in the visual perception concentration of each of the auxiliary elements, and if careful research is done on whether the influence factors are also due to individual characteristics or another influential factors, it will be a wider study on character design.

• Journal of Korea Entertainment Industry Association
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• v.5 no.1
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• pp.127-133
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• 2011

Characters in natural image are an important information with various context. Previous work of character region detection algorithms is not detect of character region in case of image complexity and the surrounding lighting, similar background to character, so this paper propose an method of character region detection in natural image using edge and connected component by morphological reconstructions. Firstly, we detect edge using Canny-edge detector and connected component with local min/max value by morphological reconstructed-operation in gray-scale image, and labeling each of detected connected component elements. lastly, detected candidate of text regions was merged for generation for one candidate text region, Final text region detected by checking the similarity and adjacency of neighbor of text candidate individual character. As the results of experiments, proposed algorithm improved the correctness of character regions detection using edge and connected components.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.56-65
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• 2019

The purpose of this study was to identify factors associated with character of nursing students using ecological theory. A descriptive cross-sectional study was conducted with 296 nursing students. Collected data from self report questionnaires were analyzed using descriptive statistics, t-test, ANOVA and multiple regression with SPSS WIN 21.0. The Results of this study were as follows. A total of 2 models were examined according to individual, microsystem in ecological system theory. In the first model including individual factors, positive emotion, communication ability were significant factors explain character of nursing students. In the second model adding micro system factors family strength and major satisfaction found to be significant factors. The prediction factors of nursing student' character were communication ability (${\beta}=.431$, p<.001), major satisfaction (${\beta}=.310$, p<.001) and family strength (${\beta}=.176$, p<.001). The explanation power was 55.6%. These results showed that factors affecting character of nursing students are communication ability, major satisfaction, and family strength. Therefore, we suggest to develop various character education programs considering these factors.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10b
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• pp.545-549
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• 1992

In general, recognition of Hand written characters requires to apply an algorithm which takes into consideration of the individual differences. Considering the differences, the authors propose a new method for recognizing Hand written Hangul by parallel procedure analyzing both the segments and the structure of the character. In the previous recognition method proposed by the authors two severe restrictions were placed. The element representing consonant/O/ was closed, and the character elements were separated each other. In order to remove these two restrictions, the authors propose an improved algorithm. It is shown that Hangul in its simplified form is well recognized by using this improved algorithm.