• Journal of Korea Multimedia Society
• /
• v.22 no.2
• /
• pp.250-259
• /
• 2019

Big data processing technology and artificial intelligence (AI) are increasingly attracting attention. Natural language processing is an important research area of artificial intelligence. In this paper, we use Korean news articles to extract topic distributions in documents and word distribution vectors in topics through LDA-based Topic Modeling. Then, we use Word2vec to vector words, and generate a weight matrix to derive the relevance SCORE considering the semantic relationship between the words. We propose a way to recommend documents in order of high score.

• The Journal of Korea Robotics Society
• /
• v.18 no.1
• /
• pp.122-126
• /
• 2023

An unexpected occlusion in a real life, not in a laboratory, can be more fatal to neural networks than expected. In addition, it is virtually impossible to create a network that learns all the environmental changes as well as occlusions. Therefore, we propose an alternative approach in which the architecture and number of parameters remain unchanged while adapting to occlusion circumstances. Learning method with the term Conversion Learning classifies them more robustly by converting the weights from various occlusion situations. The experiments on MNIST dataset showed a 3.07 [%p] performance improvement over the baseline CNN model in a situation where most objects are occluded and unknowing what occlusion will appear in advance. The experimental results suggest that Conversion Learning is an efficient method to respond to environmental changes such as occluded images.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2020.07a
• /
• pp.245-246
• /
• 2020

본 논문에서는 블록형 코딩 방식을 통해 비전공자가 스스로 머신러닝의 쉽게 원리를 구현해 볼 수 있는 딥아이( D.I.Y, Deep AI Yourself) 플랫폼을 제안하였다. 딥아이는 구글의 오픈 소스 블록형 코딩 툴 개발 라이브러리인 Blockly를 기반으로 머신러닝 알고리즘을 쉽게 구현할 수 다양한 블록으로 구성되어 있다. Blockly는 CSR 기반이며 사용자가 개발한 블록 코드는 내부적으로 코드 생성기에 의해 파이썬 코드 등으로 변환되어 백엔드 서버에서 처리를 하며 결과를 사용자에게 제공한다.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2022.07a
• /
• pp.677-679
• /
• 2022

연이어 발생한 온라인 성범죄 사건과 코로나 바이러스 확산에 의한 온라인 수업 전환으로 인해 학교 내에서 이루어지는 성교육의 대안이 절실하게 요구된다. 본 논문에서는 메타버스를 활용하여 시공간의 제약이 없는 새로운 성교육 플랫폼을 제안한다.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2023.07a
• /
• pp.331-332
• /
• 2023

최근 ChatGPT, 코딩교육, 디지털교과서 등의 새로운 용어와 산물들이 전국 단위 언론사를 통해, 교육 전문가(교사 등)와 일반 국민들에게 어떤 형태의 보도가 진행되는지 확인하는 것이 중요한 연구 출발점이다. 본 연구는 오늘날 학교교육, 교육방법(매체론) 등에 큰 변화를 줄 '인공지능'에 대한 전국 단위 언론사(일간지-11개사, 방송사-5개사)의 최근(2020-2023년) 보도형태를 분석하고 제시하였다. 본 연구에서는 2020년 1월부터 2023년 5월까지(3년 5개월간) 총 16개 언론사(일간지와 방송사)에서 보도한 '인공지능'와 '학교' 용어가 모두 포함된 관련 뉴스 기사들을 분석하였다. 분석대상 뉴스 빅데이터들을 대상으로 연도별 보도기사 건수 분석, 키워드 트렌드 분석, 연관어 분석(워드클라우드 제시) 등을 진행하였다.

• Advances in nano research
• /
• v.15 no.6
• /
• pp.579-585
• /
• 2023

This research delves into the intricate dynamics of the flight response exhibited by a golf ball that incorporates nanoparticles with the goal of enhancing its overall quality. The golf ball is meticulously modeled utilizing beam elements, and the impact of nanoparticles is intricately captured through the application of the Halpin-Tsai theory. Employing a numerical solution, the study thoroughly explores the flight response of the golf ball, taking into account the nuanced effects of the embedded nanoparticles. By scrutinizing the aerodynamic characteristics through advanced simulations, this investigation aims to provide valuable insights that could potentially revolutionize the design and performance of golf equipment, offering a pathway towards superior quality and enhanced functionality in the realm of golf ball technology. Results show that increase in the volume percent of nanoparticles, improves the flight response of the golf ball.

• International Journal of Advanced Culture Technology
• /
• v.11 no.4
• /
• pp.42-47
• /
• 2023

The majority of research on Automated Writing Evaluation (AWE) programs has focused primarily on Grammarly, whereas QuillBot and its use in English as a Foreign Language (EFL) classrooms remains limitedly explored. This study examined the effectiveness of using QuillBot on the writing quality of college students. A total of 26 participants took pre- and post-writing tests, and four analytical tools were applied to assess their writing quality in terms of syntactic complexity, lexical diversity, lexical richness, and readability. Results of the syntactic complexity analysis across the four indices demonstrates that the syntactic complexity of EFL writing increased significantly, and substantial differences were observed in lexical richness and readability. These results suggest that QuillBot can compensate for the drawbacks of Grammarly and assist EFL writers in improving their overall writing quality.

• International Journal of Computer Science & Network Security
• /
• v.24 no.3
• /
• pp.211-223
• /
• 2024

Chatbots have become very popular in our times and are used in several fields. The emergence of chatbots has created a new way of communicating between human and computer interaction. A Chatbot also called a "Chatter Robot," or conversational agent CA is a software application that mimics human conversations in its natural format, which contains textual material and oral communication with artificial intelligence AI techniques. Generally, there are two types of chatbots rule-based and smart machine-based. Over the years, several chatbots designed in many languages for serving various fields such as medicine, entertainment, and education. Unfortunately, in the Arabic chatbots area, little work has been done. In this paper, we developed a beneficial tool (chatBot) in the Arabic language which contributes to educating people about the Prophet's biography providing them with useful information by using Natural Language Processing.

• International Journal of Internet, Broadcasting and Communication
• /
• v.16 no.1
• /
• pp.182-190
• /
• 2024

Various artificial intelligence neural network models that have emerged since 2014 enable the creation of new content beyond the existing level of information discrimination and withdrawal, and the recent generative artificial intelligences such as ChatGPT and Gall-E2 create and present new information similar to actual data, enabling natural interaction because they create and provide verbal expressions similar to humans, unlike existing chatbots that simply present input content or search results. This study aims to present a model that can improve the ChatGPT communication skills of university students through curriculum research on ChatGPT, which can be participated by students from all departments, including engineering, humanities, society, health, welfare, art, tourism, management, and liberal arts. It is intended to design a way to strengthen competitiveness to embody the practical ability to solve problems through ethical attitudes, AI-related technologies, data management, and composition processes as knowledge necessary to perform tasks in the artificial intelligence era, away from simple use capabilities. It is believed that through creative education methods, it is possible to improve university awareness in companies and to seek industry-academia self-reliant courses.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.20 no.1
• /
• pp.31-45
• /
• 2024

The purpose of this study is to explain employment factors in the software field. For it, the Graduates Occupational Mobility Survey by the Korea employment information service is used. This paper proposes employment models in the software field using machine learning. Then, it explains employment factors of the models using explainable artificial intelligence. The models focus on both university graduates and vocational college graduates. Our works explain and interpret both black box model and glass box model. The SHAP and EBM explanation are used to interpret black box model and glass box model, respectively. The results describes that positive employment impact factors are major, vocational education and training, employment preparation setting semester, and intern experience in the employment models. This study provides a job preparation guide to universitiy and vocational college students that want to work in software field.