• Title/Summary/Keyword: SW framework

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Research SW Development Integrated Framework to Support AI Model Research Environments (인공지능 모델 연구 환경 지원을 위한 연구소프트웨어 개발 통합 프레임워크)

  • Minhee Cho;Dasol Kim;Sa-kwang Song;Sang-Baek Lee;Mikyoung Lee;Hyung-Jun Yim
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.97-99
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    • 2023
  • 소프트웨어를 개발하거나 실행하는 환경은 매우 다양하다. 최근에 혁신을 이끌고 있는 인공지능 모델은 오픈소스 프로젝트룰 통해 공개되는 코드나 라이브러리를 활용하여 구현하는 경우가 많다. 하지만 실행을 위한 환경 설치 과정이 쉽지 않고, 데이터 혹은 기학습된 모델 사이즈가 대용량일 경우에는 로컬 컴퓨터에서 실행하는 것이 불가능한 경우도 발생하고, 동료와 작업을 공유하거나 수동 배포의 어려움 등 다양한 문제에 직면한다. 이러한 문제를 해결하기 위하여, 소프트웨어가 유연하게 동작할 수 있도록 효율적인 리소스를 관리할 수 있는 컨테이너 기술을 많이 활용한다. 이 기술을 활용하는 이유는 AI 모델이 시스템에 관계없이 정확히 동일하게 재현될 수 있도록 하기 위함이다. 본 연구에서는 인공지능 모델 개발과 관련하여 코드가 실행되는 환경을 편리하게 관리하기 위하여 소프트웨어를 컨테이너화하여 배포할 수 있는 기능을 제공하는 연구소프트웨어 개발 통합 프레임워크를 제안한다.

A Study on the Improvement of IoT Network Performance Test Framework using OSS (개방형 SW를 이용한 IoT 네트워크 성능시험기 개선에 관한 연구)

  • Joung Youngjun;Jeong Yido;Lee SungHwa;Kim JinTae
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.6
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    • pp.97-102
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    • 2023
  • This study is to provide improvement of tester for IoT system, which has recently become diversified and large-scale and It is about a method to improve the packet processing performance of the tester and securing flexibility in traffic protocol creation and operation. The purpose of this study is to design a OSS DPDK-based high-speed IoT network performance test system, which pre-verifies and measures the performance of data traffic transmission in an increasingly sophisticated high-capacity IoT network system. The basic structure of the high-speed IoT performance tester was designed using a DPDK-based traffic generator, the expected effect was suggested to traffic modeling and packet generation capability when the system was applied through experiments

A Study on the Perception of Research Data Managers to Establish a Korea Research Data Commons System (국가연구데이터커먼즈 체계 수립을 위한 연구데이터 관리자들의 인식에 관한 연구)

  • Seong-Eun Park;Mikyoung Lee;Minhee Cho;Sa-Kwang Song;Dasol Kim;Hyung-Jun Yim
    • Journal of the Korean Society for information Management
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    • v.41 no.1
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    • pp.465-486
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    • 2024
  • The purpose of this study is to identify the current status of infrastructure and services for analyzing research data for research data managers at government-funded research institutions under the National Research Council for Science and Technology (NST) who will actually use the Korea Research Data Commons (KRDC), which is being developed by the Korea Institute of Science and Technology Information (KISTI) and to investigate the perceptions of research data managers related to the establishment of KRDC system. For the study, we conducted a survey targeting 24 government-funded research institutes, excluding KISTI, and interviewed research data managers from 9 of the 15 institutions surveyed who agreed to follow-up interviews. As a result of the survey, most institutions were providing related services, and their willingness to introduce an integrated analysis framework for the use of research data and provide a system for using externally released analysis software was also high. Meanwhile, when we investigated the external disclosure status of each institution's analysis services through follow-up interviews, only a minimal number of institutions were disclosing them to the outside world. The findings reveal that there is a demand to utilize analysis infrastructure and services when provided through the framework. However, it is difficult to disclose and share the analysis resources held by each organization. In order to establish the KRDC system, it is essential to share research sites' analysis infrastructure and services, and in addition, changes in the perception of research sites and institutional changes are necessary. Furthermore, there is a need to establish policies that consider the system's convenience, security, and compensation system raised in the follow-up interviews.

Analysis of Competency-Based In-service Training Programs for Informatics Teachers (정보교사의 역량에 기반한 소프트웨어교육 교원 직무 연수과정 분석)

  • Ock, Jihyun;Ahn, Seongjin
    • The Journal of Korean Association of Computer Education
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    • v.21 no.1
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    • pp.43-50
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    • 2018
  • The 2015 Revised National Curriculum emphasizes software education to develop creative and convergent talents in preparation of the Fourth Industrial Revolution. Accordingly, it is necessary to develop competency-based training programs for informatics teachers in a rapidly changing educational environment. In this background, this study selects a framework to analyze the content of in-service training for informatics teachers through review of previous studies. By analyzing the current training programs to strengthen competencies required for informatics teachers in secondary schools, the study aims to develop implications for future in-service training programs. To this end, the study conducted a questionnaire survey of experts who participated in the development of in-service training textbooks and consulted them, then analyzed the elements of competency-based training program content and the relative importance of each competency element using the analytical hierarchy process (AHP). According to the results of the analysis, the content was relatively concentrated on the competency of "Understanding and Reconstructing the National Curriculum" required for general and informatics teachers as well, which accounted for 47% of all, or 7 hours out of the total 15 hours. In contrast, the content structure lacked the competency of highly relative importance by competency element "Establishing and Using Teaching-Learning Strategies for Informatics," which took up the highest portion of 27%. These findings will be used as basic data for understanding and reflecting the areas that fall short of the development of in-service training programs for informatics teachers.