• 한국정보교육학회:학술대회논문집
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• 한국정보교육학회 2021년도 학술논문집
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• pp.369-376
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• 2021

인공지능(AI) 기술의 발전에 따라 많은 분야에서 인공지능 활용 방안에 대한 논의가 활발하게 일어나고 있으며 교육 분야에서도 인공지능 인재 양성을 위한 각종 정책이 추진되고 있다. 본 연구에서는 인공지능 기술을 활용한 로봇 프로그래밍 프레임워크를 제안하고 이를 기반으로 머신러닝(Machine Learning) 분야에서 높은 빈도로 활용되는 파이썬(Python)과 교육 현장의 활용도가 높은 교육용 로봇을 활용하여 인공지능(AI) 교육 프로그램을 제안하였다. 국제자동차공학회(SAE)에서 제시하는 자율주행자동차 수준(0~5단계)을 4단계로 단순화하고 이를 기반으로 로봇에 부착된 카메라가 선(객체)을 인지(Perception)하고 검출(Object detection)하여 스스로 움직일 수 있는 라인 디텍터(Line Detector)를 만드는 것을 목표로 하였다. 개발된 프로그램은 단순히 특정 프로그래밍 언어를 활용하여 주어진 문제를 해결하는 정형화된 형태가 아니라 생활 속의 복잡하고 비구조화된 문제를 자기주도적으로 정의하고 인공지능(AI) 기술을 기반으로 해결하는 경험을 가지는데 그 의의가 있다.

• International Journal of Contents
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• 제15권4호
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• pp.107-112
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• 2019

With the development of AI (artificial intelligence), animation digital publishing has been integrated with intellectualization. This paper adopts the theory of the global value chain, and analyzes the basic structure of the animation publishing value chain. Then focuses on the analysis of digital technology and artificial intelligence technology to play an active role in the topic selection and content customization of animation digital publishing products, optimization of publishing platforms, and user experience of publishing products. Finally, it proposes the use of artificial intelligence data analysis and deep learning technology. The purpose of this paper is to realize the upgrading of animation digital publishing, product upgrading, industrial chain upgrading, and identify some promotion methods for the value chain, such as copyright protection.

• International Journal of Internet, Broadcasting and Communication
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• 제15권4호
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• pp.90-99
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• 2023

This paper deals with studying strategy about impact of deep learning (DL) on the factor of Korean economic growth. To study classification of impact factors of Korean economic growth, we suggest dynamic equation of microeconomy and study methods on economic growth impact of deep learning. Next step is to suggest DL model to dynamic equation with Korean economy data with growth related factors to classify what factor is import and dominant factors to build policy and education. DL gives an influence in many areas because it can be implemented with ease as just normal editing works and speak including code development by using huge data. Currently, young generations will take a big impact on their job selection because generative AI can do well as much as humans can do it everywhere. Therefore, policy and education methods should be rearranged as new paradigm. However, government and officers do not understand well how it is serious in policy and education. This paper provides method of policy and education for AI education including generative AI through analysing many papers and reports, and experience.

• Journal of Digestive Cancer Research
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• 제11권3호
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• pp.130-140
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• 2023

Gastric cancer (GC) is one of the most common malignant tumors worldwide, with a 5-year survival rate of < 40%. The diagnosis and treatment decisions of GC rely on human experts' judgments on medical images; therefore, the accuracy can be hindered by image condition, objective criterion, limited experience, and interobserver discrepancy. In recent years, several applications of artificial intelligence (AI) have emerged in the GC field based on improvement of computational power and deep learning algorithms. AI can support various clinical practices in endoscopic examination, pathologic confirmation, radiologic staging, and prognosis prediction. This review has systematically summarized the current status of AI applications after a comprehensive literature search. Although the current approaches are challenged by data scarcity and poor interpretability, future directions of this field are likely to overcome the risk and enhance their accuracy and applicability in clinical practice.

• 전자통신동향분석
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• 제36권1호
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• pp.89-98
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• 2021

The Ministry of National Defense aims to create an environment in which transparent and reasonable defense policies can be implemented in real time by establishing the vision of smart defense innovation based on the Fourth Industrial Revolution and promoting innovation in technology-based defense operation systems. Artificial intelligence (AI) based defense technology is at the level of basic research worldwide, includes no domestic tasks, and involves classified military operation data and command control/decision information. Further, it is needed to secure independent technologies specialized for our military. In the army, military power continues to decline due to aging and declining population. In addition, it is expected that there will be more than 500,000 units should be managed simultaneously, to recognize the battle situation in real time on the future battlefields. Such a complex battlefield, command decisions will be limited by the experience and expertise of individual commanders. Accordingly, the study of AI core technologies supporting real-time combat command is actively pursued at home and abroad. It is necessary to strengthen future defense capabilities by identifying potential threats that commanders are likely to miss, improving the viability of the combat system, ensuring smart commanders always win conflicts and providing reasonable AI digital staff based on data science. This paper describes the recent research trends in AI military staff technology supporting commander decision-making, broken down into five key areas.

• 동의생리병리학회지
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• 제35권1호
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• pp.22-27
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• 2021

This study conducted a questionnaire for students of Pusan National University Graduate School of Korean Medicine who practiced using the Oriental Medicine Diagnosis System (ODS). From the questionnaire, this study investigated current state of application and perception of AI in Korean Medicine and explored the direction of ODS improvement and utilization. The survey questions consisted of six questions examining the satisfaction of the diagnostic expert system, five questions evaluating the availability of the diagnostic expert system, and six questions to predict the impact of AI on the Korean medicine community. The survey analysis showed high satisfaction with practice using ODS. On the other hand, the possibility of using ODS, especially in clinical use, was evaluated as relatively low compared to the satisfaction of the practice. Therefore, the overall impact of AI on the Korean medical community is not expected to be large. Although there are difficulties in standardization of clinical data due to the academic characteristics of Korean medicine, it is necessary to continue attempts to apply AI. By actively introducing educational tools using the latest AI techniques to the diagnosis experience and doctor-patient role in a practice, students will be able to increase their satisfaction with their practice and respond appropriately to the state-of-the-art medical environment.

• 한국인터넷방송통신학회논문지
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• 제22권4호
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• pp.73-79
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• 2022

Artificial intelligence (AI) 프로젝트에 널리 사용되는 Python 언어는 Interpreter 언어로 Runtime 시에 오류가 발생한다. 오류로 인한 프로젝트의 실패를 방지하기 위해서는 사전에 예외적인 상황이 발생할 수 있는 코드에 대한 예외 처리가 필요하다. 특히, 많은 리소스를 필요로 하는 AI 프로젝트에서, 오랜 실행 후 발생하는 예외는 큰 리소스 낭비를 초래한다. 하지만, 예외 처리는 개발자의 경험에 의존하기 때문에 개발자들은 잡아야 할 적절한 예외를 결정하는데 어려움을 가진다. 이러한 필요성을 해결하기 위해 기존 예외 처리문을 학습하여 개발 중에 개발자에게 잡아야 할 예외를 제안해주는 접근 방법을 제안한다. 제안 방법은 try 블록의 소스 코드를 입력으로 받아 except 블록에서 처리되어야 할 예외들을 제안해준다. 우리는 2개의 프레임워크로 구성된 대규모 프로젝트에 대해 접근 방법을 평가한다. 우리의 평가 결과에 따르면, 예외 제안을 수행할 때 평균 AUPRC는 0.92 이상을 나타낸다. 연구 결과는 제안된 방법이 비교 모델들을 능가하는 예외 제안 성능으로 개발자의 예외 처리를 지원할 수 있음을 보여준다.

• 한국정보교육학회:학술대회논문집
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• 한국정보교육학회 2021년도 학술논문집
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• pp.289-294
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• 2021

인공지능의 발달로 인해 전 세계적으로 4차 산업혁명의 물결이 일고 있다. 빅데이터, 사물인터넷 기반의 인공지능 기술로 모든 것이 하나로 융합되는 초연결 사회로 향하고 있다. 이에 따라 인공지능 시대의 교육 인재상으로 창의 융합형 인재 양성과 더불어서 감성적 창조 인재 양성을 추구하고 있다. 인간의 창의성 및 감성을 중심으로 인공지능과 협업하고 다양한 분야의 지식을 융합하여 새로운 것을 창조할 줄 알아야 한다. 이에 따라 본 연구는 인문학적 성향인 국어와 공학적 성향인 인공지능을 융합한 프로그램을 개발하여, 학생들이 인문학적 소양과 공학적 사고력을 융합해 창의적으로 문제를 해결하는 경험을 할 수 있도록 하였다. 교육 프로그램의 내용은 'AI와 함께하는 도서' 및 'AI와 함께하는 연극'과 같은 두 가지이었으며, 학생들이 인문학적 문제를 인공지능을 활용하여 해결하도록 하는 15차시 수업으로 구성하였다.

• International Journal of Advanced Culture Technology
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• 제8권3호
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• pp.186-191
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• 2020

Artificial Intelligence (AI) technology is used in a variety of fields because it can make inferences and plans through learning processes. In the field of coding technologies, AI has been introduced as a tool for personalized and customized education to provide new educational environments. Also, it can be used as a virtual assistant in coding operations for easier and more efficient coding. Currently, as coding education becomes mandatory around the world, students' interest in programming is heightened. The purpose of coding education is to develop the ability to solve problems and fuse different academic fields through computational thinking and creative thinking to cultivate talented persons who can adapt well to the Fourth Industrial Revolution era. However, new non-computer science major students who take software-related subjects as compulsory liberal arts subjects at university came to experience many difficulties in these subjects, which they are experiencing for the first time. AI based coding technologies can be used to solve their difficulties and to increase the learning effect of non-computer majors who come across software for the first time. Therefore, this study examines the current state of AI based coding technologies and suggests the direction of future coding education.

• Journal of Information Technology Applications and Management
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• 제30권5호
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• pp.141-158
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• 2023

In the field of animation, as technology advances, production technology, production methods, and production culture are also steadily developing. The demand for content is increasing rapidly around the OTT platform, and the demand for animation content and diversity is increasing. With these market changes, animation creation ability is becoming a more important animation education goal. There is also a need to innovate educational methods to provide students with the skills and knowledge required in the modern animation business. This paper investigated the composition of the educational curriculum of domestic and foreign animation universities education. It examines artificial intelligence (AI) technology that can be used in animation creation and explores the design and direction of the university animation curriculum using it. AI technology has already proven its potential in various areas, and it is integrated into the animation curriculum to present various development potentials. Using AI technology, students can focus on practical and essential animation education by preventing technical difficulties in animation creation, increase their experience in animation production, and experiment with planning and producing various contents. It is proposed to design an educational curriculum that further strengthens animation creation and production capabilities by forming smart animation classes to foster talents who can lead the future animation industry in a new direction.