• 한국정보교육학회:학술대회논문집
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• 2007.08a
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• pp.71-75
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• 2007

오늘날 지능형 교수 시스템은 과거와는 달리 전문영역 지식, 학습자 지식과 융통적인 개별 학습과 개인교수를 지원하기 위한 교수 전략에 대한 지식이 사용되고 있다. 학습자들이 배웠던 내용이 무엇인지를 설명하고 가르칠 도메인 지식을 전문영역 지식으로 표현한다. 교수법 모듈은 학습을 제어하거나 가르치기 위한 모든 결정을 한다. 학생 모형은 학습자의 지식을 기술하고 학습자 개개인에 대한 특정한 정보를 저장한다. 본 논문에서는 지능형 교수 시스템의 구성 요소인 학습자 모형의 지식을 기존의 인공지능에서의 지식 표현 기법인 생성 시스템의 절차 지식을 온톨로지를 사용하여 설계하였다.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.67-75
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• 2022

Medical information is variously generated not only from medical devices but also from electronic devices. Recently, related convergence technologies from big data collection in healthcare to medical AI products for patient's condition analysis are rapidly increasing. However, there are difficulties in applying them because of independent developmental procedures. In this paper, we propose an intelligent hospital information system (iHIS) model to simplify and integrate research, development and application of medical AI technology. The proposed model includes (1) real-time patient data management, (2) specialized data management for medical AI development, and (3) real-time monitoring for patient. Using this, real-time biometric data collection and medical AI specialized data generation from patient monitoring devices, as well as specific AI applications of camera-based patient gait analysis and brain MRA-based cerebrovascular disease analysis will be introduced. Based on the proposed model, it is expected that it will be used to improve the HIS by increasing security of data management and improving practical use through consistent interface platformization.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2016.11a
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• pp.281-282
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• 2016

본 논문에서는 증대하고 있는 재난안전사고에 효율적으로 대응할 수 있도록 훈련할 수 있는 시뮬레이터 플랫폼을 제안한다. 최근 재난은 복합적이며, 타 부처 간의 협력이 필요한 대규모 성격을 띠고 발생하는 빈도가 커지고 있는 반면 훈련도구는 각 부처별로 재난유형별 시스템들이 필요에 따라 독립개발 및 운영되고 있기 때문에 다양한 시나리오에 의한 종합적 분석결과를 기반으로 하는 스마트한 재난대응 방안 모색이 어려운 실정이다. 이러한 이유로 본 연구에서는 재난에 대응하는 사람의 다양한 능력을 반영하여 인공지능 기반 하에 훈련 시나리오가 생성될 수 있는 지능형 재난대응훈련 시뮬레이터 개발을 위한 플랫폼을 제안한다. 또한 몰입감을 가지고 가상의 상황 하에서 훈련할 수 있도록 가상현실 기반의 시뮬레이터 플랫폼이 될 수 있도록 제안한다.

• Journal of the Korea Society of Computer and Information
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• v.27 no.6
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• pp.33-42
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• 2022

In the existing intelligent command control system study, the analysis results of the commander's battlefield situation questions are provided from knowledge-based situation data. Analysis reporters write these results in various expressions of natural language. However, it is important to analyze situations about information and intelligence according to context. Analyzing the battlefield situation using artificial intelligence is necessary. We propose a virtual dataset generation method based on battlefield simulation scenarios in order to provide a dataset necessary for the battlefield situation analysis based on artificial intelligence. Dataset is generated after identifying battlefield knowledge elements in scenarios. When a candidate hypothesis is created, a unit hypothesis is automatically created. By combining unit hypotheses, similar identification hypothesis combinations are generated. An aggregation hypothesis is generated by grouping candidate hypotheses. Dataset generator SW implementation demonstrates that the proposed method can be generated the virtual battlefield situation dataset.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2022.10a
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• pp.57-58
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• 2022

지속되는 기후변화에 의한 풍수해의 발생 빈도와 강도가 증가함에 따라 풍수해 등 극한 기상현상이 지역 및 상황에 따라 재난으로 이어지는 위험성이 높아지고 있어 기상정보 사용자 및 환경에 따라 서로 다른 기상정보의 중요성과 필요성이 급증하고 있다. 이와 같은 수요를 맞추고자 기상 재난에 의한 피해 위험 지역 거주 주민과 재난 현장에서 재난에 대응하는 방재 관계기관 등 특정 사용자의 요구와 필요에 특화된 맞춤형 기상긴급정보를 다양한 매체의 특성에 맞게 즉각적으로 생성하여 전달하기 위한 기상긴급정보전달시스템이 개발되고 있으며 인공지능을 활용한 긴급성의 식별과 정보 생성 방안이 연구되고 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.365-368
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• 2018

인공지능 기술이 발달하면서 챗봇 플랫폼이 주목받고 있다. 챗봇이란 규칙 또는 인공지능(AI)을 이용해 사용자와 상호작용을 하는 대화형 인터페이스다. 챗봇에서 대화를 처리하는 방법은 규칙기반 대화 시스템, 검색기능 대화 시스템, 생성기반 대화 시스템이 있다. 본 논문에서는 규칙 기반 대화 시스템을 바탕으로 하는 모바일 영화 챗봇 서비스를 개발하였다. 이를 통하여 사용자는 더 편리하게 영화 관련 정보를 제공받을 수 있다.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.509-517
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• 2023

The reactive web service provides a related word recommendation system using the TextRank algorithm and a word-based idea generation service selected by the user. In the related word recommendation system, the method of weighting each word using the TextRank algorithm and the probability output method using SoftMax are discussed. The idea generation service discusses the idea generation method and the artificial intelligence reinforce-learning method using mini-GPT. The reactive web discusses the linkage process between React, Spring Boot, and Flask, and describes the overall operation method. When the user enters the desired topic, it provides the associated word. The user constructs a mind map by selecting a related word or adding a desired word. When a user selects a word to combine from a constructed mind-map, it provides newly generated ideas and related patents. This web service can share generated ideas with other users, and improves artificial intelligence by receiving user feedback as a horoscope.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.659-666
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• 2023

Among the tools based on generative artificial intelligence, the possibility of using ChatGPT is being explored. However, studies that have confirmed what factors should be considered when using it educationally based on learners' actual perceptions are insufficient. Through qualitative research method, this study was to derive consideration factors when using ChatGPT in the education. The results showed that there were five key factors as follows: critical thinking on generated information, recognizing it as a tool to support learning and avoiding dependent use, conducting prior training on ethical usage, generating clear and appropriate questions, and reviewing and synthesizing answers. It is necessary to develop an instructional design model that comprehensively composes the above elements.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.3
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• pp.303-323
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• 2023

The purpose of this study is to introduce this language model in the era of generative AI such as ChatGPT, and to provide direction for data literacy education components in libraries using it. To this end, the following three research questions are proposed. First, the technical features of ChatGPT-like language models are examined, and then, it is argued that data literacy education is necessary for the proper and accurate use of information by users using a service platform based on generative AI technology. Finally, for library data literacy education in the ChatGPT era, it is proposed a data literacy education scheme including seven components such as data understanding, data generation, data collection, data verification, data management, data use and sharing, and data ethics. In conclusion, since generative AI technologies such as ChatGPT are expected to have a significant impact on users' information utilization, libraries should think about the advantages, disadvantages, and problems of these technologies first, and use them as a basis for further improving library information services.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.447-452
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• 2024

As the remarkable achievements of generative artificial intelligence technology become increasingly visible, the issue of 'controllability' in artificial intelligence is emerging as a prominent global keyword. This comes at a time when existential threats, such as the possibility of machines dominating humans, are being raised. Accordingly, this study aims to establish the groundwork for shaping a social public sphere by closely examining the concept of control, the current status, and the global landscape of artificial intelligence. It seeks to address the innovative changes anticipated in future society, with artificial intelligence technology at its core. The study aims to derive implications for preparing countermeasures against social problems and unpredictable variables that may arise from the evolution of artificial intelligence technology. It also aims to present guidelines and strategic insights for the establishment of government regulations. Furthermore, the study seeks to uncover implications for the formation of social public discourse.