• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.151-159
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• 2021

The purpose of this study is to attempt a convergent study by analyzing modern funk ceramic artworks through 'Irony', which was mainly used in rhetoric and literature. The irony has come to modern times and has embraced the type of irony by Jung Keut-Byul, a literary critic who has discovered that the classifications and definitions are different from each other, and who has solved these problems and has newly classified the irony (the irony of oxymoron, the irony as a counterstatement, the irony of dramatic turn, the irony as a poetic truth) as a framework for analyzing the works of 20th century punk potters. As a result, the formative language found in funk ceramic art had many similarities with the irony of duality of surface and reality, and its humorous and comic character was more prominent than the heavy, melodramatic tone shown in literature. It was also found that the media characteristics and craft properties of ceramic art, such as clay and glaze, have become the drivers for ceramic sculptors to draw attention in funk art.

• Journal of Korea Entertainment Industry Association
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• v.14 no.7
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• pp.559-570
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• 2020

The purpose of this study was to classify the internal members of nursing hospitals and Western hospitals that received the certification system of medical institutions, and to examine the effect of certification on member satisfaction, job stress, hospital operation effect, and improvement of medical services. In nursing hospitals, the certification system was higher in member satisfaction, hospital operation effect, and medical service effect than in Western hospitals, and members of Western hospitals were higher in job stress. In both nursing hospitals and Western hospitals, the satisfaction of members, hospital operation effect, and medical service effect according to certification showed positive (+) results. It is believed that the effect of the certification system has been empirically high in nursing hospitals as mandatory certification from 2013. Therefore, this study aims to contribute to the efficiency of hospital management and improvement of patient satisfaction through continuous quality management of medical care by analyzing the effect of certification system on medical service improvement.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.7
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• pp.719-728
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• 2018

Each country has its preferred image and how to convey it effectively. The study aims to find traditional Korean makeup methods and ways to effectively convey a preferred image. Among the ancient manuscripts of Joseon Dynasty, the book " Galgap Collection " has ten ancestors who express their favorite eyebrows in the form of a grandfather. In this study, we applied tens of thousands of words to the actual model to solve the problem and make up the methods of literature, the Internet, and example. The model stimuli were measured by conducting a street experiment of 10 makeup experts and 70 men and women's blinds. The result was that the " Gaewon- .aemi " type seemed to be the best, attractive and most consistent with the shape of the thinking eyebrows and the current fashion of eyebrows. In a variety of nonverbal ways expressed in the classics, the study looked at ways to use visual poetry to communicate effectively. This research will help transform design ideas and help understand cultural trends of different times.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.369-376
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• 2021

With the development of artificial intelligence (AI) technology, discussions on the use of artificial intelligence are actively taking place in many fields, and various policies for nurturing artificial intelligence talents are being promoted in the field of education. In this study, we propose a robot programming framework using artificial intelligence technology, and based on this, we use Python, which is used frequently in the machine learning field, and an educational robot that is highly utilized in the field of education to provide artificial intelligence. (AI) education program was proposed. The level of autonomous driving (levels 0-5) suggested by the International Society of Automotive Engineers (SAE) is simplified to four levels, and based on this, the camera attached to the robot recognizes and detects lines (objects). The goal was to make a line detector that can move by itself. The developed program is not a standardized form of solving a given problem by simply using a specific programming language, but has the experience of defining complex and unstructured problems in life autonomously and solving them based on artificial intelligence (AI) technology. It is meaningful.

• Journal of the Korean Applied Science and Technology
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• v.39 no.2
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• pp.261-270
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• 2022

This study was to analyze the related contents by securing 32 volumes of 8 types of physical education textbooks for grades 3, 4, 5, 6 that are being used in the school field for the revitalization of dance education. As a result, the 3rd grade expression area organized textbooks focusing on movement language and expression elements. For the 4th grade, most textbooks suggested gymnastics using balls, hoops, and ribbons. In the 5th grade, Ganggangsullae and Mask dance were suggested in relation to Korean folk dances, and Tinikling and Gustaf's skoal suggested in relation to foreign folk dances. had been In the case of 6th graders, the exploration of expression elements and the expression process were presented in relation to thematic expression, and the subject expression was made possible with a focus on creative gymnastics. Also, line dance among practical dances was presented in most textbooks. Despite the importance of the expression domain, field teachers at school are complaining of difficulties in teaching and learning due to various internal and external problems. The need for activation is raised in that the expression domain can exert effects in all cognitive, mental, and affective domains.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.81-83
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• 2022

Understanding research trends is necessary to select research topics and explore related works. Most researchers search representative keywords of interesting domains or technologies to understand research trends. However some conferences in artificial intelligence or data mining fields recently publish hundreds to thousands of papers for each year. It makes difficult for researchers to understand research trend of interesting domains. In our paper, we propose an automatic technology keyphrase extraction method to support researcher to understand research trend for each conference or journal. Keyphrase extraction that extracts important terms or phrases from a text, is a fundamental technology for a natural language processing such as summarization or searching, etc. Previous keyphrase extraction technologies based on pretrained language model extract keyphrases from long texts so performances are degraded in short texts like titles of papers. In this paper, we propose a techonolgy keyphrase extraction model that is robust in short text and considers the importance of the word.

• Journal of KIBIM
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• v.13 no.3
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• pp.21-29
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• 2023

ChatGPT, a chatbot based on GPT large language models, has gained immense popularity among the general public as well as domain professionals. To assess its proficiency in specialized fields, ChatGPT was tested on mainstream exams like the bar exam and medical licensing tests. This study evaluated ChatGPT's ability to answer questions related to Building Information Modeling (BIM) by testing it on Korea's BIM expertise exam, focusing primarily on multiple-choice problems. Both GPT-3.5 and GPT-4 were tested by prompting them to provide the correct answers to three years' worth of exams, totaling 150 questions. The results showed that both versions passed the test with average scores of 68 and 85, respectively. GPT-4 performed particularly well in categories related to 'BIM software' and 'Smart Construction technology'. However, it did not fare well in 'BIM applications'. Both versions were more proficient with short-answer choices than with sentence-length answers. Additionally, GPT-4 struggled with questions related to BIM policies and regulations specific to the Korean industry. Such limitations might be addressed by using tools like LangChain, which allow for feeding domain-specific documents to customize ChatGPT's responses. These advancements are anticipated to enhance ChatGPT's utility as a virtual assistant for BIM education and modeling automation.

• The Transactions of the Korea Information Processing Society
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• v.13 no.9
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• pp.453-459
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• 2024

Recent advances in generative AI technologies using natural language processing have critically impacted text, image, and video production. Despite these innovations, we still need to improve the consistency and reusability of AI-generated outputs. These issues are critical in cartoon creation, where the inability to consistently replicate characters and specific objects can degrade the work's quality. We propose an integrated adaption of language analysis-based requirement engineering and cartoon engineering to solve this. The proposed method applies the linguistic frameworks of Chomsky and Fillmore to analyze natural language and utilizes UML sequence models for generating consistent 3D representations of object interactions. It systematically interprets the creator's intentions from textual inputs, ensuring that each character or object, once conceptualized, is accurately replicated across various panels and episodes to preserve visual and contextual integrity. This technique enhances the accuracy and consistency of character portrayals in animated contexts, aligning closely with the initial specifications. Consequently, this method holds potential applicability in other domains requiring the translation of complex textual descriptions into visual representations.

• Journal of The Korean Association For Science Education
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• v.36 no.1
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• pp.113-123
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• 2016

The purpose of this study is to understand the elementary student's growth and its implications from the students' experience participating in the science fair by phenomenological study. The results are as follows. First, the students have various experiences. They acquire scientific knowledge and inquiry skills by conducting in-depth experiments, visiting several places, and interviewing experts. They have some experience in writing experiment journals to record the inquiry process in their own language, and presenting their results in public. Second, the students suffer several difficulties while preparing for the science fair. They have some difficulties when the results were not consistent with the hypothesis, or they had to repeat the experiment over and over. They feel burdened in writing the experiment journal. They had a few time to meet friends or for hobbies. Third, the students improve scientific attitude through the science fair, and they receive a positive effect on the affective side. They developed scientific interest, curiosity, cooperation, etc. And they also gained a sense of accomplishment, confidence, friendship, good relationship with teachers, career interest, etc. This study finds out that students participating in the science fair have a lot of experience that cannot be done easily in a normal science class. Even though students confront some difficulties in the inquiry process, they make good progression and feel accomplished. So the science fair is valuable experience for them.

• Journal of The Korean Association of Information Education
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• v.18 no.3
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• pp.413-422
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• 2014

The positive impacts of robotics education and programming education on learners are similar. However, robotics education differs from programming education because it includes purchasing and building robots that cause financial and cognitive load of learners. Due to these differences, two kinds of education may not possess equal efficacies for all schools or all learning objectives. To verify this hypothesis, we conducted meta-analysis of studies on robotics education published in South Korea to estimate the effect sizes and compare it to that of programming education. The difference between the average effect sizes of robotics education and of programming education was significant, as the former was 0.4060 and the latter 0.6664. The average effect size of programming education was significantly larger than that of robotics education for primary school students. Middle school students achieved the highest results in both robotics education and programming education. Also, robotics education became more effective than programming education as students were older. Analysis on objectives showed that programming education uniformly affected all areas, whereas robotics education had more impact on affective domain than cognitive domain. Robot construction had the largest effect size, followed by robot construction and programming, robot programming, and robot utilization. Programming education has larger positive impacts on students overall compared to robotics education. Robotics education is more effective to upperclassmen than programming education, and improves affective domain of students. Also, robotics education shows higher efficacy when combined with various subjects.