• Journal of the Korea Society of Computer and Information
• /
• v.27 no.6
• /
• pp.149-155
• /
• 2022

In this paper, we propose the importance of character education in nursing curriculum. It is quite difficult to define what character is. It is solely because a person's character is very abstract yet comprehensive at the same time. Nevertheless, the East defines character as someone's personality that he or she is naturally born with. Someone's character contains two elements: what he or she was born with, a nature, and how the person has and is to become. The nature is difficult to change through education since one is born with such disposition. However, another half of one's character can be educated to be reformed and developed in the right manner. And this specific education is called character education. Today in Korea, education to cultivate one's character has become a cause celebre, especially when evaluating a nursing department's certification. To be a good nurse, one must not only be skillful but also has the ability to help others or make ethical and clinical judgments. Yet, most nursing departments in Korea out there are overwhelmingly focused on the curriculum related to obtaining licenses and to become a registered nurse. Thus, this is to suggest alleviating such a stress and expanding the curriculum for character education.

• Journal of IKEEE
• /
• v.22 no.1
• /
• pp.87-92
• /
• 2018

Like CPUs, regular expression processors that perform regular expression pattern matching using instructions have been proposed recently. Of these, only REMPc provides features for character class matching. In this paper, we propose an architecture for efficient character class matching in a regular expression processor, which use character class bitmap format in a instruction operand field and implement the hard-wired character class comparator for several frequently used character classes. Using the proposed method, most of the character classes used in Snort rule can be represented by an operand or an instruction. Thus, character class matching can be performed more efficiently in the proposed archiecture than in REMPc.

• Journal of Families and Better Life
• /
• v.24 no.2 s.80
• /
• pp.15-26
• /
• 2006

The purposes of this study were (1) to investigate children's personalized inferences of characters emotional reactions depending on character's personality trait, emotional situation, children's age and gender, (2) to investigate children's personalized inferences of character's behavioral reactions depending on character's personality trait, emotional situation, children's age and gender, (3) to investigate differences between children's personalized inferences of character's emotional reaction and that of character's behavioral reactions. The subjects were 103 children from three age groups (thirty-four 3-year-olds, thirty-three 5-year-olds and thirty-six 7-year-olds). The statistical methods adopted for the data analysis were frequency, percentile, mean, standard deviation, repeated measure ANOVA and paired t-test. The result showed that there were significant differences in children's personalized inferences of character's emotional reaction depending on character's personality trait, emotional situation and their age. There were significant differences in children's personalized inferences of character's behavioral reaction depending on children's age and gender. There were significant differences between personalized inferences of character's emotional reaction and behavioral reactions.

• Journal of Fisheries and Marine Sciences Education
• /
• v.26 no.6
• /
• pp.1342-1351
• /
• 2014

The purpose of this study was to analyze qualitatively perception on creativity and character education of teachers who participated in winter training and workshop which the Southeast Regional Center for Creativity and Character Education arranged. The results are as follows. Firstly, it was shown that teachers perceived close corelation between creativity and character and competency necessary for students who will make a living for future society. Secondary, Teachers perceived that creativity and character education will benefit students in their cognitive, emotive, and affective aspects. Lastly, teachers thought that an administrative assistant and financial help such as securing classroom had to be supported so that they were able to freely conduct creativity and character education and teaching materials provided by the Regional Center for Creativity and Character Center were helpful in establishing a whole foundation when they started to conduct creativity and character education.

• Smart Media Journal
• /
• v.10 no.1
• /
• pp.79-87
• /
• 2021

In recent years research on automatic font generation with machine learning mainly focus on using transformation-based methods, in comparison, generative model-based methods of font generation have received less attention. Transformation-based methods learn a mapping of the transformations from an existing input to a target. This makes them ambiguous because in some cases a single input reference may correspond to multiple possible outputs. In this work, we focus on font generation using the generative model-based methods which learn the buildup of the characters from noise-to-image. We propose a novel way to train a conditional generative deep neural model so that we can achieve font style control on the generated font images. Our research demonstrates how to generate new font images conditioned on both character class labels and character style labels when using the generative model-based methods. We achieve this by introducing a modified generator network which is given inputs noise, character class, and style, which help us to calculate losses separately for the character class labels and character style labels. We show that adding the character style vector on top of the character class vector separately gives the model rich information about the font and enables us to explicitly specify not only the character class but also the character style that we want the model to generate.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.15 no.2
• /
• pp.121-125
• /
• 2015

In this paper, we propose a method that extracts features from character patterns using the fractal dimension of chaos theory. The input character pattern image is converted into time-series data. Then, using the modified Henon system suggested in this paper, it determines the last features of the character pattern image after calculating the box-counting dimension, natural measure, information bit, and information (fractal) dimension. Finally, character pattern recognition is performed by statistically finding each information bit that shows the minimum difference compared with a normalized character pattern database.

• Journal of the Korean Institute of Telematics and Electronics B
• /
• v.30B no.8
• /
• pp.8-15
• /
• 1993

This paper describes a normalization of character which is contained in the character recognition process. Line and dot density is computed on input character image and then image mapping is executed into destination. Also recognition is processed using overlap-partitioning of character image and extraction of 4 directional feature primitives. The validity of proposed nonlinear normalization algorithm could be verified by increment of recognition rate.

• Cartoon and Animation Studies
• /
• s.31
• /
• pp.1-27
• /
• 2013

The study looks a shape of hybrid character in animation and suggests extended discussion to develop the Korean creative characters and to repeat traditional culture that can reproduce in mass media. First, this study considers Jangseung and Dokkaebi that appear frequently in the Korean traditional culture, and prepares a way to try to develop the Korean hybrid characters. To do this, I analyze examples of hybrid characters direction in as-found animation characters, and grasp the meaning of it. Hybrid character is classified as a character produced by mix and combination of shape and a character produced by shape exaggeration. And I shed new light on characters and meanings of Jangseung and Dokkaebi remaining as cultural assets. Through this, the study wants to help handling measure about a problem of character that the Korean animation has. Therefore, this study looks characters of description about imaginary creatures expressed in existing animations, and wants to shed new light on the Korean Jangseung and Dokkaebi regarded as from an object of folk religion and custom, to an object that is possible to use in the Korean traditional character development.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.19 no.11
• /
• pp.2276-2290
• /
• 1994

In this paper, we propose an algorithm for character recognition using the subdivided type and the stable structure information. The subdivided type of character is acquired from the stable structure information of character which is extracted from an input character. Firstly, the character is obtained from a scanner and classified into on of 6 types by using directional density vector. And then, the stable structure information is extracted from each character and the character is subdivided into on of 26 types. Finally, the classified character is recognized by using neural network which is inputted the directional density vector equivalent to JASO area or recognized direct. Aa a result of experiment with KS C 5601 2350 printed Hangeul characters, we obtain the recognition rate of 94%.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.47 no.5
• /
• pp.873-890
• /
• 2023

This study analyzed users' emotional responses to VI character design through YouTube comments. The researchers applied text-mining to analyze 116,375 comments, focusing on terms related to character design and characteristics of VI. Using the BERT model in sentiment analysis, we classified comments into extremely negative, negative, neutral, positive, or extremely positive sentiments. Next, we conducted a co-occurrence frequency analysis on comments with extremely negative and extremely positive responses to examine the semantic relationships between character design and emotional characteristic terms. We also performed a content analysis of comments about Miquela and Shudu to analyze the perception differences regarding the two character designs. The results indicate that form elements (e.g., voice, face, and skin) and behavioral elements (e.g., speaking, interviewing, and reacting) are vital in eliciting users' emotional responses. Notably, in the negative responses, users focused on the humanization aspect of voice and the authenticity aspect of behavior in speaking, interviewing, and reacting. Furthermore, we found differences in the character design elements and characteristics that users expect based on the VI's field of activity. As a result, this study suggests applications to character design to accommodate these variations.