• Title/Summary/Keyword: 공유플랫폼

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A Study on the Data Literacy Education in the Library of the Chat GPT, Generative AI Era (ChatGPT, 생성형 AI 시대 도서관의 데이터 리터러시 교육에 대한 연구)

  • Jeong-Mee Lee
    • 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.

Design of the Agent-based Network-Centric Warfare Modeling System (에이전트 기반의 NCW 전투모델링 시스템 설계)

  • Park, Se-Youn;Shin, Ha-Yong;Lee, Tae-Sik;Choi, Bong-Wan
    • Journal of the Korea Society for Simulation
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    • v.19 no.4
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    • pp.271-280
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    • 2010
  • While the future warfare is expected to be appeared as network-centric, effect-based, and coordinated cooperative, most current M&S systems reflect only the unit behaviors and interactions of each weapon system. There are limitations to analyze the behaviors of managing weapons cooperatively and sharing the situational awareness over the networks of distributed sensors, C2, and shooters using them. Therefore, we introduce the new design of the networkcentric warfare modeling system using the agent-based modeling and simulation approach. We have developed a system for engagement-level warfare models and tested with multi-platform battleship warfare. In this paper, we propose the method to design battle agents, environments, and networks for network centric warfare modeling.

Design of Intelligent Big data Convergence Service to Support Non-store Founders based on Non-face-to-face (무점포 창업자 지원을 위한 비대면 기반의 지능형 빅데이터 융합 서비스 설계)

  • Hyun-Mo Koo;Ji-Yun Hong;Cheol-Soo Kang
    • Journal of Advanced Technology Convergence
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    • v.2 no.2
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    • pp.1-8
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    • 2023
  • Due to the recent long-term economic downturn, the number of non-store and mail-order sellers is increasing as prospective entrepreneurs are concentrated due to the phenomenon of non-store start-ups with low start-up costs. In particular, in addition to unemployed young people and housewives who lack funds, many office workers who wish to have a 'two-job' are jumping into the business. Therefore, in this paper, we have moved away from provider-oriented service platforms that are dependent on specific networks, operators, and service types. In addition, we plan to design a business integration support system that can provide B2B services in the promotional material industry that contributes to business support and profit generation of wholesale and retail non-store entrepreneurs through sharing and participation. The proposed system is judged to be a business integrated operation support system applying orchestration and service management technology and enterprise business partner management technology that can provide stable operation management service.

The need to introduce a Common Operating Picture(COP) for disaster response in the event of a disaster (재난발생시 재난대응을 위한 공통작전상황도(COP) 도입 필요성)

  • Cho, Jung Yun;Song, Ju Il;Jang, Cho-Rok;Jang, Mun-Yeop
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.358-358
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    • 2020
  • 2016년 경주지진, 2018년 밀양 세종병원 화재사고, 2019년 강원도 동해안 산불, 2020년 코로나바이러스감염증-19 재난까지 매년 다양한 유형의 재난이 발생하면서 재난대응에 대한 관심 역시 커지고 있다. 정부는 물론 각 지자체에서 재난유형별로 재난대응 매뉴얼에 따라 체계적으로 해당 재난에 대한 대응을 실시하고 있으나 중앙 상황실과 현장 간 소통의 어려움, 의사결정의 지연 등으로 인해 신속한 대응방안 수립 및 피해상황 파악에 있어서 미흡한 대처를 보여주어 질타를 받기도 하였다. 본 연구에서는 중앙 상황실과 현장 간의 원활한 소통과 재난으로 발생한 피해현황 및 응급복구 계획 등을 신속하게 수립할 수 있도록 군부대에서 사용하고 있는 공통작전상황도(Common Operating Picture, 이하 COP)의 개념을 재난대응 체계에 도입하여 제시하고자 한다. 공통작전상황도는 미군이 군사적인 대응을 위하여 정보공유 차원에서 처음으로 사용되었으며, 미국연방재난관리청(Federal Emergency Management Agency, 이하 FEMA)이 현재 재난상활 발생 시 의사결정을 지원하기 위한 시스템으로 개발하여 활용하고 있다. 이를 구성하는 요소들은 재난발생시 가장 기초적인 정보(신고사항, 기상정보, 시민제보 등) 뿐 만 아니라 현장에 관한 정보(구체적인 대응상황, 요구사항 등)까지 다루어지고 있으며, 결국 공통작전상황도는 이를 모두 관리할 수 있는 하나의 통합플랫폼이라 할 수 있다. 따라서 본 연구에서는 재난상황에서 공통작전상황도를 활용한 해외사례 분석과 국내 도입 시각 재난유형별로 공통작전상황도에 필요한 정보요소들을 1차적으로 확인함으로써 새로운 재난대응 시스템의 필요함을 강조하고자 한다.

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Development of Comprehensive Diagnostic System for Disaster in Decline Areas (쇠퇴지역 재난재해 종합진단 시스템 프로토타입 개발)

  • Shin, Yonghyeon;Lee, Sangmin;Yang, Dongmin
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.479-479
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    • 2021
  • 최근 기상이변으로 인한 자연재해 발생이 증가하고 있고, 그에 따라 도시의 재난 대응력 강화가 국내에서는 물론 국제적으로도 중요한 이슈가 되고 있다. 특히 쇠퇴지역은 재난재해 발생 시 인적·물적 피해가 일반 지역 보다 상대적으로 크며, 복구에도 많은 시간과 예산이 소요되므로 대응책 마련을 위한 도시재생지역의 정밀한 재난재해의 위험성 분석 기술이 필요하다. 이에 본 연구에서는 도시재생사업 대상지(311개)에 대한 재난재해 유형별 위험성 및 회복성을 종합적으로 분석하는 종합진단 기법을 개발하고, 이를 적용한 프로토타입 시스템을 개발하였다. 재난재해의 범위는 「재난 및 안전관리 기본법」을 준용하여 이에 도시재생사업 시행에 영향을 받아 재난재해 발생에 따른 위험정도가 변화할 가능성이 높은 자연재해 (폭우, 폭염, 폭설, 강풍, 지진)5종과 사회재난 (화재, 붕괴, 폭발) 3종 총 8종으로 정의하였다. 종합진단 기법은 기후변화에 관한 정부간 협의체(IPCC) 위험도 평가 방법을 준용하여 위험요소 (위해성·취약성·노출성)와 대비·대응요소 (회복성)로 구분하고, 전문가 자문회의를 거쳐 재난재해에 특히 취약한 쇠퇴지역의 특성을 반영할 수 있는 종합진단지수 산정식을 개발하였다. 또한 쇠퇴지역 재난재해 종합진단 시스템은 도시재생 업무를 수행하는 사용자가 신속히 정보를 분석하고 활용에 용이하도록 Web-GIS 기반으로 설계하였으며, 종합진단 기법에 의해 산정된 분석결과를 100m × 100m 격자 단위의 등급으로 가시화한다. 분석 결과는 지속적인 연구 개발을 통해 최적의 도시재생사업 의사결정 지원 서비스를 위한 기초 분석 자료로 연계하여 활용되며, 분석 DB는 클라우드 서비스 기반의 도시재생 데이터 플랫폼을 통해 공유된다.

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Analysis of the Impact of Host Resource Exhaustion Attacks in a Container Environment (컨테이너 환경에서의 호스트 자원 고갈 공격 영향 분석)

  • Jun-hee Lee;Jae-hyun Nam;Jin-woo Kim
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.33 no.1
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    • pp.87-97
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    • 2023
  • Containers are an emerging virtualization technology that can build an isolated environment more lightweight and faster than existing virtual machines. For that reason, many organizations have recently adopted them for their services. Yet, the container architecture has also exposed many security problems since all containers share the same OS kernel. In this work, we focus on the fact that an attacker can abuse host resources to make them unavailable to benign containers-also known as host resource exhaustion attacks. Then, we analyze the impact of host resource exhaustion attacks through real attack scenarios exhausting critical host resources, such as CPU, memory, disk space, process ID, and sockets in Docker, the most popular container platform. We propose five attack scenarios performed in several different host environments and container images. The result shows that three of them put other containers in denial of service.

A Study on Environmental Factor Recommendation Technology based on Deep Learning for Digital Agriculture (디지털 농업을 위한 딥러닝 기반의 환경 인자 추천 기술 연구)

  • Han-Jin Cho
    • Smart Media Journal
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    • v.12 no.5
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    • pp.65-72
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    • 2023
  • Smart Farm means creating new value in various fields related to agriculture, including not only agricultural production but also distribution and consumption through the convergence of agriculture and ICT. In Korea, a rental smart farm is created to spread smart agriculture, and a smart farm big data platform is established to promote data collection and utilization. It is pushing for digital transformation of agricultural products distribution from production areas to consumption areas, such as expanding smart APCs, operating online exchanges, and digitizing wholesale market transaction information. As such, although agricultural data is generated according to characteristics from various sources, it is only used as a service using statistics and standardized data. This is because there are limitations due to distributed data collection from agriculture to production, distribution, and consumption, and it is difficult to collect and process various types of data from various sources. Therefore, in this paper, we analyze the current state of domestic agricultural data collection and sharing for digital agriculture and propose a data collection and linkage method for artificial intelligence services. And, using the proposed data, we propose a deep learning-based environmental factor recommendation method.

Successful Implementation Measures of Global On-Board Training Program for Capacity building of International Seafaring Workforce (국제 해기인력 역량강화를 위한 글로벌 승선실습 프로그램의 효율적인 시행방안에 관한 연구)

  • Jee-Hyun Lee;Jinsoo Park
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.06a
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    • pp.355-356
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    • 2022
  • The pilot GOBT program was carried out from November 17th - December 17th 2021 at KIMFT; self-isolation for 10 days, Basic Safety Training(BST) for 5 days and 2 weeks of on-board training(OBT) were conducted during the period. Total 20 cadets from 5 different Countries were participated under the financial support of IMO ITCP and Korean ODA program. The program aims to provide capacity-building courses focusing on on-board training and assisting future maritime officers in meeting the minimum standard of seagoing experience in accordance with the STCW Convention. In the meantime, the program itself can serve as a platform to share best practices of how the training including the curriculum can be organized on specialized training vessels. The questionnaire survey was carried out to evaluate the GOBT program, and the overall average score was 96.4 points which seems that the cadets were very satisfied with the Global On-Board Training program provided by KIMFT in 2021.

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Verification on stock return predictability of text in analyst reports (애널리스트 보고서 텍스트의 주가예측력에 대한 검증)

  • Young-Sun Lee;Akihiko Yamada;Cheol-Won Yang;Hohsuk Noh
    • The Korean Journal of Applied Statistics
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    • v.36 no.5
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    • pp.489-499
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    • 2023
  • As sharing of analyst reports became widely available, reports generated by analysts have become a useful tool to reduce difference in financial information between market participants. The quantitative information of analyst reports has been used in many ways to predict stock returns. However, there are relatively few domestic studies on the prediction power of text information in analyst reports to predict stock returns. We test stock return predictability of text in analyst reports by creating variables representing the TONE from the text. To overcome the limitation of the linear-model-assumption-based approach, we use the random-forest-based F-test.

Examining the Impact of Short Video Media Characteristics on Organizational Commitment and Mental Health among College Students (쇼츠 영상 매체의 특성 및 대학생들의 조직 몰입이 정신 건강에 미치는 영향)

  • Ahn Hyeon Mi;Lee Sin-Bok;Noh Hyeyoung
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.263-272
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    • 2023
  • In recent times, short videos have become highly popular among college students, serving as a vibrant platform for information sharing and self-expression, while fostering a unique culture. However, their excessive consumption can lead to negative effects like reduced concentration and information overload, necessitating a balanced approach and self-control. Our study examined the impact of different characteristics of short video media on college students' organizational commitment and mental health. The findings highlighted that attributes such as accessibility and immediacy positively influence different levels of engagement, and that organizational commitment significantly affects students' mental well-being. The research underscores the importance of judicious use of short video media to positively affect college students' mental health.