• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.47 no.2
• /
• pp.21-29
• /
• 2024

Fueled by international efforts towards AI standardization, including those by the European Commission, the United States, and international organizations, this study introduces a AI-driven framework for analyzing advancements in drone technology. Utilizing project data retrieved from the NTIS DB via the "drone" keyword, the framework employs a diverse toolkit of supervised learning methods (Keras MLP, XGboost, LightGBM, and CatBoost) enhanced by BERTopic (natural language analysis tool). This multifaceted approach ensures both comprehensive data quality evaluation and in-depth structural analysis of documents. Furthermore, a 6T-based classification method refines non-applicable data for year-on-year AI analysis, demonstrably improving accuracy as measured by accuracy metric. Utilizing AI's power, including GPT-4, this research unveils year-on-year trends in emerging keywords and employs them to generate detailed summaries, enabling efficient processing of large text datasets and offering an AI analysis system applicable to policy domains. Notably, this study not only advances methodologies aligned with AI Act standards but also lays the groundwork for responsible AI implementation through analysis of government research and development investments.

• The Journal of Information Technology
• /
• v.5 no.2
• /
• pp.95-106
• /
• 2002

This study attempts to construct and manage the distance learning system by focusing on education institutins. However, they lack not only web-based courseware for information literacy but also the contents for the management technology. This study tried to design and implement the web-based courseware by using OCP(Oracle Certified Profession) based on the initial Oracle in distance learning. Learners' individual variations were considered based on problem solving learning. Also, the practical contents that could be applied in the educational field were selected. The learning type web-based courseware, using the technology of ASP, DHTML, JAVAscript, VBA, was designed and implemented into the framework that could be updated easily. The result of the study shows: first of all, this courseware induced a greater understanding of the Oracle language and the student's interests. Secondly, the student's had more control over the process of individual learning and achieved the goal more effectively through immediate feedback, finally, the students could learn wherever they have on-line connections to the web server.

• Communications of Mathematical Education
• /
• v.33 no.1
• /
• pp.1-19
• /
• 2019

This study deals with the case of student-centered discrete mathematics class with cyber lab. First, we provided lecture notes and cyber labs we developed. In particular, discrete mathematics is a course that covers the principles of algorithms. The purpose of this study is to provide students with basic mathematics, aiming to actively participate in the learning process, to improve their abilities and to reach the ultimate goal of student success with confidence. Second, based on interactions, students were able to prepare for the lectures, review, question, answer, and discussion through an usual learning management system of the school. Third, all the students generated materials through one semester, which were reported, submitted, presented and evaluated. It was possible to improve the learning effectiveness through the discussions and implementation of using some easy open source programming language and codes. Our discrete math laboratory could be practiced without any special knowledge of coding. These lecture models allow students to develop critical thinking skills while describing and presenting their learning and problem-solving processes. We share our experience and our materials including lecture note and cyber lab as well as a possible model of student-centered mathematics class that does not give too much of work load for instructors. This study shares a model that demonstrates that any professor will be able to have an individualized, customized, and creative discrete education without spending much of extra time and assistant, unlike previous research.

• Proceedings of the Korean Information Science Society Conference
• /
• 2001.04b
• /
• pp.676-678
• /
• 2001

언어는 모든 교육에서 중요한 역할을 담당하므로 국어 교과목은 교육의 기본 목표인 언어사용의 신장을 위해서 중요하게 다루어지고 있다. 언어발달을 위한 국어 교육활동은 듣기, 말하기, 읽기, 쓰기의 네 가지 영역에 기초를 두고 있으며 학생들의 흥미를 유발할 수 있는 쌍방향 멀티미디어를 이용하면 이러한 영역의 학습효과를 증가시킬 수 있다. 그러나 기존의 웹사이트의 개발 사례를 살펴보면 교과서 중심인 일방적인 제사만이 구현되어 있다. 따라서 본 논문에서는 흥미와 자발적인 참여를 유발하고 행동한 것에 대해 즉각적인 반응(Feedback)을 주는 애니메이션과 음성, 효과음, 높이, 학습, 게임으로 결합된 오락적인 쌍방향 멀티미디어 웹 컨텐츠를 개발하여 언어를 배우는 어린이들의 학습능력의 향상과 창의적인 언어 활동의 증대에 기여하고자 한다. 특히, 이 시스템의 큰 특징은 학생에 대한 학습 결과를 도출하고 이에 대한 해결책 및 각종 정보를 추출하여 학습진단 결과, 재학습, 학습독력의 형태로 학생 개개인에게 메일로 보내는 학습 통합관리 기능을 포함하고 있다는 것이다.

• The Journal of Sustainable Design and Educational Environment Research
• /
• v.10 no.2
• /
• pp.61-72
• /
• 2011

The purpose of this study is to carry out the research of the satisfaction level of consumers (students and teachers) and managerial characteristics for model classes of the subject classroom system and to draw the effective plan of the system. The conclusions are as follows First, the biggest advantage of the system is to fulfill the educational goal according to an individual level and ability of each student while the biggest disadvantage is the inconvenience of students to change their classrooms for each specific class. Second, it is necessary to rearrange the classrooms according to the applied subjects from the aspect of curriculum management since the time frame is not convenient for recess. English and mathematics are required preferentially as applied subjects, however Korean (as a national language) and science are needed to be taught with level-differentiated classes, too. The ideal size of classes is most likely 20-25 students according to the result of research. Lastly, the space of environment is another requirement to secure smooth flow of students' movements and extra space for technical devices used for information research. The above analysis indicates the necessity of supplementation in space planning for further implementation of subject classroom system in secondary school.

• Proceedings of the Korean Information Science Society Conference
• /
• 2003.10c
• /
• pp.385-387
• /
• 2003

국내에서는 네트워크를 활용한 원격 교육 시스템에 관한 연구는 진행되어 왔으나, 차세대 네트워크 기술을 원격 교육에 적용하는 연구는 미흡한 실정이다. 차세대 인터넷 기술의 범용성을 확보하기 위해서, 고도의 네트워크, 시스템소프트웨어 응용 기술의 개발이 필요한 실정이다. 이를 위해 전통적인 비디오/오디오 중심의 멀티미디어 스트림 전송에 있어 멀티캐스트 네트워크를 활용하고, 체계적인 세션관리를 위하여 XML(extensible Markup Language)과 차세대 웹기술인 웹서비스(Web Service)를 이용하여 상호 운영성을 제공하는 원격 교육 세션관리 시스템을 개발함으로써, 체계적인 원격강의 정보를 제공하는 차세대 인터넷 응용 프로그램을 개발하는 것이 논문의 목표이다.

• Journal of Internet Computing and Services
• /
• v.16 no.4
• /
• pp.61-70
• /
• 2015

This paper presents a web-based Java applet for understanding the concepts in digital logic circuits and student satisfaction survey was carried out in order to show its educational validity. Through our educational Java applet, the learners will be capable of learning the concepts and principles related to digital logic circuit experiments and how to operate virtual experimental equipments and virtual bread board. The proposed educational Java applet is composed of five important components: Principle Classroom to explain the concepts and principles for digital logic circuit operations, Simulation Classroom to provide a web-based simulator to the learners, Virtual Experiment Classroom to provide interactive Java applet about the syllabus of off-line laboratory class, Assessment Classroom, and Management System. With the aid of the Management System every classroom is organically tied together collaborating to achieve maximum learning efficiency. Finally, we have obtained several affirmative effects such as high learning standard, reducing the total experimental hours and the damage rate for experimental equipments.

• Journal of IKEEE
• /
• v.24 no.4
• /
• pp.931-941
• /
• 2020

As natural language processing technology using machine learning develops, a Smart Home Network Service (SHNS) is drawing attention again. However, it is difficult to apply a standardized authentication scheme for SHNS because of the diversity of components and the variability of users. Blockchain is proposed for data authentication in a distributed environment. But there is a limit to applying it to SHNS due to the computational overhead required when implementing a proof-of-work system. In this paper, a lightweight work proof system is proposed. The proposed lightweight proof-of-work system is proposed to manage block generation by controlling the work authority of the device. In addition, this paper proposes an access control scheme for SHNS.

• Journal of the Korean Society for information Management
• /
• v.35 no.4
• /
• pp.141-164
• /
• 2018

Recently, as the amount of academic literature has increased rapidly and complex researches have been actively conducted, researchers have difficulty in analyzing trends in previous research. In order to solve this problem, it is necessary to classify information in units of academic papers. However, in Korea, there is no academic database in which such information is provided. In this paper, we propose an automatic classification system that can classify domestic academic literature into multiple classes. To this end, first, academic documents in the technical science field described in Korean were collected and mapped according to class 600 of the DDC by using K-Means clustering technique to construct a learning set capable of multiple classification. As a result of the construction of the training set, 63,915 documents in the Korean technical science field were established except for the values in which metadata does not exist. Using this training set, we implemented and learned the automatic classification engine of academic documents based on deep learning. Experimental results obtained by hand-built experimental set-up showed 78.32% accuracy and 72.45% F1 performance for multiple classification.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.44 no.4
• /
• pp.113-127
• /
• 2021

Topic modeling has been receiving much attention in academic disciplines in recent years. Topic modeling is one of the applications in machine learning and natural language processing. It is a statistical modeling procedure to discover topics in the collection of documents. Recently, there have been many attempts to find out topics in diverse fields of academic research. Although the first Department of Industrial Engineering (I.E.) was established in Hanyang university in 1958, Korean Institute of Industrial Engineers (KIIE) which is truly the most academic society was first founded to contribute to research for I.E. and promote industrial techniques in 1974. Korean Society of Industrial and Systems Engineering (KSIE) was established four years later. However, the research topics for KSIE journal have not been deeply examined up until now. Using topic modeling algorithms, we cautiously aim to detect the research topics of KSIE journal for the first half of the society history, from 1978 to 1999. We made use of titles and abstracts in research papers to find out topics in KSIE journal by conducting four algorithms, LSA, HDP, LDA, and LDA Mallet. Topic analysis results obtained by the algorithms were compared. We tried to show the whole procedure of topic analysis in detail for further practical use in future. We employed visualization techniques by using analysis result obtained from LDA. As a result of thorough analysis of topic modeling, eight major research topics were discovered including Production/Logistics/Inventory, Reliability, Quality, Probability/Statistics, Management Engineering/Industry, Engineering Economy, Human Factor/Safety/Computer/Information Technology, and Heuristics/Optimization.