• Journal of The Korean Association For Science Education
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• v.37 no.5
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• pp.847-857
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• 2017

This study examined the effect of the Collaborative Problem-Solving for Character Competence (CoProC) instruction model within the context of secondary science education. The participants of this study were comprised of 143 Korean students, each of whom was in the 10th grade spread across four class cohorts. These cohorts were further divided into an experimental group (comprised of 73 students from two different classes), which received the CoProC program; and a control group (70 students from two other classes), which did not. In order to assess the effect of CoProC instruction model upon participants' character competence, we designed and administered a Character Competence Test for participants. The CoProC instruction model consists of 3 fundamental steps: Preparation, Problem-solving, and Evaluation. Key character competence targeted in the CoProC program include caring, collaboration, communication, responsibility, respect, honesty, self-regulation, and the development of positive self-image. Thus, these same qualities were targeted and analyzed in the Character Competence Test, which was administered before and after the CoProC activities. The results show a significant increase in the experimental group's competency for caring, collaboration, responsibility, respect, and self-regulation when compared to the control group. Based on these results, we have found that CoProC instruction model to be an effective teaching intervention toward cultivating character competence in a secondary science education setting.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.2
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• pp.87-98
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• 2017

The advancements in scientific technology and information network in the 21st century allow us to easily acquire a desired knowledge. In the midst of today's informatization, globalization, and cultural diversification, adolescents experience emotional confusion while accommodating diverse cultures and information. This study aimed at examining three aspects of character suggested by the Ministry of Education, which are ethics, sociality, and emotion, and the actual sub-factors required for character education. To that end, a survey was conducted with adolescents who were at a character-building age, and social network analysis (SNA) was performed to determine the effect of character education on the sub-factors. The statistics program SPSS was used to investigate the general traits of the subjects and the validity of the research variables. The 2-mode data that were finally selected were converted to 2-mode data using NetMinder 4, which is a network analysis tool. Furthermore, a data network was established based on a quasi-network that represents the relationships between ethics, sociality, and emotion. The results of this study showed that the subjects considered honesty and justice to be the sub-domains of the ethics domain. In addition, they identified sympathy, communication, consideration for others, and cooperation as the sub-domains of the sociality domain. Finally, they believed that self-understanding and self-control were the sub-domains of the emotion domain.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.8
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• pp.1840-1846
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• 2005

In this paper, does by purpose DC servo motor speed controller design about PID coefficient tuning techniques that use genetic algerian. DC servo motor is used in application field of a peat many control machine or robot etc. and in this field, selection of controller parameters requires user's expert knowledge. Therefore, general amount of work engineers must continuously iteration tuning in controller parameters by trial and error. With this, when must tuning parameter coefficient about change of dynamic system or disturbance, can improve the efficiency according to following that is more precised and parameter coefficient value that is optimized by using genetic algorithm. In this paper, from dynamic character modeling get in analyze dynamic character of DC motor desist controller drive control possible that is fast response character md improved speed precision using a Genetic Algorithms.

• Korean Journal of Childcare and Education
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• v.11 no.2
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• pp.239-260
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• 2015

The purpose of this research is to understand the impact of integrated character education activities involving children's songs on children's emotional intelligence and empathic abilities. Research subjects were recruited from J preschool in H County. There were a total of 46 four-year old children who were divided into test and control groups. For 12 weeks, these children participated in activities two times per week for a total of 24 integrated character education activity sessions which consisted of learning and singing children's songs and integration of activities such as storytelling, music, science, building, movement, literature, and cooking. The summary of research findings is as follows: First, there was a significant difference in emotional intelligence between the test group which participated in integrated character education activities involving children's songs and the control group. Secondly, there was a significant difference in empathic abilities between the test group which participated in integrated character education activities involving children's songs and the control group. The result of this study is that writing songs for children and various developed programs should be needed for character education activities.

• Korean Journal of Childcare and Education
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• v.11 no.1
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• pp.231-247
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• 2015

The purpose of this study was to identify how character education activities utilizing picture books affect pro-social behaviors of young children. The subjects were 46 children aged 5 who attended private child care centers in G city. The children were allocated to either the experiment group or the control group. The data were collected for 12 weeks and the activity sessions were provided to the experiment group 3 times a week (36 times in total). The sessions consisted of an integrated approach toward character education. Therefore, various activities were included such as listening to the stories of picture books, discussion, drama, language activities, music, mathematics, science and games. The findings of this study were as follows: The experiment group which experienced character education utilizing picture books has significantly improved their pro-social behaviors compared to the control group. The approach positively influenced the overall sub-variables such as leadership, helping, communication, initiative consideration, approach trial, sharing, empathy, and emotional control. The character education activities should be applied to character education utilizing picture books for young children because they let young children experience building up trust and learn social attitude, and influenced increase of pro-social behaviors on young children.

• Journal of the Korean Chemical Society
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• v.65 no.6
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• pp.468-483
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• 2021

The purpose of this research was to analyze the impact of Collaborative Problem solving for Character competency (CoProC) applied science classes on the character competence and scientific affective characteristics of vocational high school students. To achieve this, two junior classes of chemical industry majors in a vocational high school, were selected as the experimental group with 43 participants, and character competence test, scientific affective characteristic test, group discussion voice recordings, reflection activity sheets were analyzed. Based on the results of the study, the experimental group showed a statistically significant differences in value for the total character competence test score compared to the control group, and it had statistically significant differences in the nine lower character competence factors. Based on the results of the scientific affective characteristic test result, the experimental group was higher in total score to a statistically significant degree compared to the control group, and showed a statistically significant difference in seven of the lower factors, excluding consistency in interest. Therefore, science classes with CoProC applied were effective in cultivating the character competence and enhancing the scientific affective characteristics of vocational high school students.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1983.04a
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• pp.18-28
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• 1983

This paper describes the result of a series of fundamental researches on a word processing system, named WORD80. Given the text consisting of Ilanguel characters, Chinese characters, English alphabets and other special characters, it can provide-ㄴo-see printout, after having processed according to the commands used to control the output format of the text. Since each Hanguel character in input text is made up of and is represented as some compoents, it uses the deterministic finite automata for the formation of Hanguel from its components. When developed at first, the WORD80 can perform Hanguel to Chinese transition character by character by character. But it was thought to be more practical to do this word by word.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.354-354
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• 2000

In this paper, we would study the applicability of neural networks to the recognition process of Korean stenographic character image, applying the classification function, which is the greatest merit of those of neural networks applied to the various pans so far, to the stenographic character recognition, relatively simple classification work. Korean stenographic recognition algorithms, which recognize the characters by using some methods, have a quantitative problem that despite the simplicity of the structure, a lot of basic characters are impossible to classify into a type. They also have qualitative one that it is not easy to classify characters for the delicacy of the character forms. Even though this is the result of experiment under the limited environment of the basic characters, this shows the possibility that the stenographic characters can be recognized effectively by neural network system. In this system, we got 90.86% recognition rate as an average.

• Proceedings of the IEEK Conference
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• summer
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• pp.259-262
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• 2004

In most of the character recognition systems, the method of template matching or statistical method using hidden Markov model is used to extract and recognize feature shapes. In this paper, we used modified chain-code which has 8-directions but 4-codes, and made the chain-code of hand-written character, after that, converted it into transition chain-code by applying to HMM(Hidden Markov Model). The transition chain code by HMM is analyzed as signal flow graph by Mason's theory which is generally used to calculate forward gain at automatic control system. If the specific forward gain and feedback gain is properly set, the forward gain of transition chain-code using Mason's theory can be distinguished depending on each object for recognition. This data of the gain is reorganized as tree structure, hence making it possible to distinguish different hand-written characters. With this method, $91\%$ recognition rate was acquired.

• International Journal of Advanced Culture Technology
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• v.11 no.2
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• pp.403-408
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• 2023

The widespread discussion of AI-generated content, fueled by the emergence of consumer applications like ChatGPT and Midjourney, has attracted significant attention. Among various AI applications, AI painting has gained popularity due to its mature technology, user-friendly nature, and excellent output quality, resulting in a rapid growth in user numbers. Midjourney and Stable Diffusion are two of the most widely used AI painting tools by users. In this study, the author adopts a perspective that represents the general public and utilizes case studies and comparative analysis to summarize the distinctive features and differences between Midjourney and Stable Diffusion in the context of AI character illustration. The aim is to provide informative material forthose interested in AI painting and lay a solid foundation for further in-depth research on AI-generated content. The research findings indicate that both software can generate excellent character images but with distinct features.