• Title/Summary/Keyword: SW Convergence

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Development of Camera-based Character Creation and Motion Control System using StyleGAN Deep Learning Technology (StyleGAN 딥러닝 기술을 활용한 카메라 기반 캐릭터 생성 및 모션 제어 시스템 개발)

  • Lee, Jeong-Hun;Kim, Ju-Hyeong;Shin, Dong-hyeon;Yang, Jae-hyeong;Chang, Moon-soo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.11a
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    • pp.934-936
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    • 2022
  • 현재 사회적인(COVID-19) 영향으로 메타버스에 대한 수요가 급증하였지만, 메타버스 플랫폼 진입을 지원하는 XR(AR/VR) 장비의 높은 가격대와 전문성 요구로 폭넓은 수요층을 포괄하기 어려운 상황이다. 본 논문에서는 이러한 수요층의 어려움을 개선하고자 웹 캠이나 스마트폰 카메라로 생성된 개인의 사진 이미지를 StyleGAN 딥러닝 기술과 접목시켜 캐릭터를 생성해 Mediapipe를 활용하여 모션 측정 및 제어를 처리하는 서비스를 제안하여 메타버스 시장의 대중화에 기여하고자 한다.

Effects of SW-Efficacy on Computational Thinking and STEAM Literacy in Robot-utilized SW Convergence Education: Dual Mediation Effects of Interests and Learning Engagement (로봇 활용 SW융합교육에서 SW효능감이 컴퓨팅 사고력, 융합인재소양에 미치는 영향: 흥미와 학습참여의 이중매개효과)

  • Huh, Mi-Seon;Lee, Jeongmin
    • The Journal of the Korea Contents Association
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    • v.20 no.11
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    • pp.1-14
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    • 2020
  • This study investigated the effects of SW-efficacy on computational thinking STEAM literacy and the dual mediation effects of interest and student engagement in the relationship between SW-efficacy, computational thinking and STEAM literacy in robot-utilized SW convergence education. For achieving this purpose, robot-utilized SW convergence education targeting 146 middle schools students were carried out, post-survey regarding SW-efficacy, computational thinking, STEAM literacy, interest, and learning engagement were conducted. Collected data were analyzed by SPSS macro process for analysis of the dual mediation effect. Results were as follows: first, SW-efficacy had a significant effect on computational thinking and STEAM literacy. Second, interest did not mediate the relationship between SW efficacy, computational thinking and STEAM literacy, while student engagement mediated it. Third, SW efficacy had a significant effect on computational thinking and STEAM literacy dual-mediating effect of interest and student engagement. These results imply the roles of SW efficacy, interest and student engagement to improve computational thinking and STEAM literacy in robot-utilized SW education and provide implications with regard to robot-utilized SW education and instructional directions.

An Analysis Study of SW·AI elements of Primary Textbooks based on the 2015 Revised National Curriculum (2015 개정교육과정에 따른 초등학교 교과서의 SW·AI 요소 분석 연구)

  • Park, SunJu
    • Journal of The Korean Association of Information Education
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    • v.25 no.2
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    • pp.317-325
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    • 2021
  • In this paper, the degree of reflection of SW·AI elements and CT elements was investigated and analyzed for a total of 44 textbooks of Korean, social, moral, mathematics and science textbooks based on the 2015 revised curriculum. As a result of the analysis, most of the activities of data collection, data analysis, and data presentation, which are ICT elements, were not reflected, and algorithm and programming elements were not reflected among SW·AI content elements, and there were no abstraction, automation, and generalization elements among CT elements. Therefore, in order to effectively implement SW·AI convergence education in elementary school subjects, we will expand ICT utilization activities to SW·AI utilization activities. Training on the understanding of SW·AI convergence education and improvement of teaching and learning methods using SW·AI is needed for teachers. In addition, it is necessary to establish an information curriculum and secure separate class hours for substantial SW·AI education.

A Study on the Policy of the technical manpower of Small and medium SW companies in the Digital Convergence (디지털 융합시대 중소 SW기업 기술인력의 안정적 확보 정책 연구)

  • Noh, Kyoo-Sung;Yang, Chang-Joon
    • Journal of the Korea Convergence Society
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    • v.13 no.1
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    • pp.89-99
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    • 2022
  • Due to COVID-19, non-face-to-face cultures such as remote classes, remote work, and tele-medicine are spreading. The major contributors to the settlement of such a non-face-to-face society are small and medium SW companies and SW manpower. However, recently as large platform companies and foreign big tech companies hire thousands of SW manpower, SW small and medium-sized companies are experiencing a serious manpower shortage. Therefore, the purpose of this study is to suggest policy alternatives for SMEs to stably secure SW manpower and support continuous business operation. To achieve this purpose, this study examines the current status of the SW industry and manpower, then summarizes related issues and suggests policy alternatives to solve these issues. Those policies include the reinforcement of incentives to support manpower retention such as the Naeil Chaeum deduction system, youth housing union composition, special military service system, recruitment of manpower through the contract semester system of employment conditions, reinforcement of customized education through supplementation of the SW manpower training voucher system, SW field skill standardization, establishment of a governance system for nurturing SW manpower, preparation of countermeasures against the outflow of manpower to large companies, and a win-win cooperation program for large and SME SW manpower.

An Analysis of the Information Curriculum of the University-affiliated Science Gifted Education Center (대학부설 과학영재교육원의 정보영역 교육과정 분석)

  • Lee, Jaeho;Jang, Junhyung;Jeong, Hongwon
    • Journal of The Korean Association of Information Education
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    • v.25 no.6
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    • pp.891-898
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    • 2021
  • The purpose of this study is to analyze the curriculum of the University-affiliated Science Gifted Education Center from 2018 to 2020 to analyze the proportion of the information area in the total class and the contents of the class, thereby confirming the trend change in the information area. After analyzing the number of hours that information education occupies in the total number of class hours, information education was classified into three categories: computer use education, SW coding education, and SW convergence education, and the curriculum was analyzed in detail. The analysis results are summarized as follows. First, the proportion of information education in total education is gradually increasing compared to 2018. Second, the proportion of computer utilization education in information education is relatively decreasing, and SW coding education and SW convergence education are expanding. Considering that the field of information education has been expanded in various forms, more systematic information education will be provided to students in the future and its usefulness will increase rapidly.

The Effect of DMM on Learning Motivation and Academic Achievement in SW Education of Non-Major (비전공자의 SW 교육을 위한 시연 중심 모형의 학습동기와 학업성취도 효과)

  • Kang, Yun-Jeong;Won, Dong-Hyun;Park, Hyuk-Gyu;Lee, Min-Hye
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.258-260
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    • 2022
  • In order to nurture talents who will lead the digital convergence era of the 4th industrial revolution that creates new knowledge and industries, research is being conducted on teaching methods that can improve the understanding of non-majors' SW concept, computational thinking ability, and convergence with majors is becoming Non-majors face difficulties in understanding and understanding the SW development environment, relevance to their major, and ability to converge. We used software education that is relatively easy to access for non-majors, and applied a demonstration-oriented model (DMM) that can be applied to beginners in SW education to understand the components and logical flow of ideas related to applications and majors used in real life. A convergence SW Learning method that combines repetitive implementation through instructor's demonstration and learner's modeling and learning motivational factors was proposed. In the experiment applying the teaching and learning method proposed in this paper, meaningful results were shown in terms of learning motivation and academic achievement in SW education.

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The Effects of Educational Robot-based SW Convergence Education on Primary Students' Computational Thinking, Collaborative and Communication Skills (교육용로봇기반 SW융합교육이 초등학생의 컴퓨팅 사고력, 협업능력 및 의사소통능력에 미치는 효과)

  • Choi, Hyungshin;Lee, Jeongmin
    • Journal of The Korean Association of Information Education
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    • v.24 no.2
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    • pp.131-138
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    • 2020
  • The aim of software education is to increase students' Computational Thinking(CT) skills that they can compose problems and provide solutions which can be carried out effectively by information-processing systems. Furthermore, if problem solving situations can provide students with meaningful problem solving opportunities in authentic social contexts, then software education would be more valuable. This study pursued educational robot-based SW convergence education where 4th grade primary students have access to tangible outputs and can engage in authentic problem solving situations working with peers by using robots and programming. In addition, this study investigated the effectiveness of the classes in terms of computational thinking skills and social capabilities(collaborative skills and communication skills). The current study provides educational robot-based SW convergence education cases of a primary school and discusses the effectiveness of the classes in terms of students' computational thinking skills and social capabilities.

A study on data collection environment and analysis using virtual server hosting of Azure cloud platform (Azure 클라우드 플랫폼의 가상서버 호스팅을 이용한 데이터 수집환경 및 분석에 관한 연구)

  • Lee, Jaekyu;Cho, Inpyo;Lee, Sangyub
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.329-330
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    • 2020
  • 본 논문에서는 Azure 클라우드 플랫폼의 가상서버 호스팅을 이용해 데이터 수집 환경을 구축하고, Azure에서 제공하는 자동화된 기계학습(Automated Machine Learning, AutoML)을 기반으로 데이터 분석 방법에 관한 연구를 수행했다. 가상 서버 호스팅 환경에 LAMP(Linux, Apache, MySQL, PHP)를 설치하여 데이터 수집환경을 구축했으며, 수집된 데이터를 Azure AutoML에 적용하여 자동화된 기계학습을 수행했다. Azure AutoML은 소모적이고 반복적인 기계학습 모델 개발을 자동화하는 프로세스로써 기계학습 솔루션 구현하는데 시간과 자원(Resource)를 절약할 수 있다. 특히, AutoML은 수집된 데이터를 분류와 회귀 및 예측하는데 있어서 학습점수(Training Score)를 기반으로 보유한 데이터에 가장 적합한 기계학습 모델의 순위를 제공한다. 이는 데이터 분석에 필요한 기계학습 모델을 개발하는데 있어서 개발 초기 단계부터 코드를 설계하지 않아도 되며, 전체 기계학습 시스템을 개발 및 구현하기 전에 모델의 구성과 시스템을 설계해볼 수 있기 때문에 매우 효율적으로 활용될 수 있다. 본 논문에서는 NPU(Neural Processing Unit) 학습에 필요한 데이터 수집 환경에 관한 연구를 수행했으며, Azure AutoML을 기반으로 데이터 분류와 회귀 등 가장 효율적인 알고리즘 선정에 관한 연구를 수행했다.

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A study of appropriateness evaluation method for quality activity management of Software R&D Project (융복합 시대의 국가 SW R&D 프로젝트에 대한 품질활동관리 적정성 평가 방안 연구)

  • Seo, Young Wook;Chae, Seong Wook
    • Journal of Digital Convergence
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    • v.13 no.8
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    • pp.91-99
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    • 2015
  • Reviewing the previous researches related to SW quality, we find that they are mostly quality evaluation models for SW quality improvement and maturity-design models for software project management evaluation. There are few studies for the appropriateness of SW quality management by Quality Control(QC) functions. Moreover, they are bound for government's SW R&D projects in the view of the third party. Therefore, we propose means for the objective evaluation of SW quality management's appropriateness by QC functions. For this reason, there are three research proposes in our study as follows. Firstly, we produce problems for the evaluation of the existing government's SW R&D project management's appropriateness. Secondly, to overcome the drawbacks for the evaluation of the appropriateness of SW quality management, new appropriateness evaluation methods are proposed. Lastly, we investigate the availability and effectiveness of the appropriateness evaluation methods for WBS projects.

Development and application of SW·AI education program for Digital Sprout Camp

  • Jong Hun Kim;Jae Guk Shin;Seung Bo Park
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.3
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    • pp.217-225
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    • 2024
  • To foster the core talents of the future, the development of diverse and substantial SW·AI education programs is required, and a systematic system that can assist public education in SW and AI must be established. In this study, we develop and combine SW·AI education modules to construct a SW and AI education program applicable to public education. We also establish a systematic education system and provide sustainable SW·AI education to elementary, middle, and high school students through 'Job's Garage Camp' based on various sharing platforms. By creating a sustainable follow-up educational environment, students are encouraged to continue their self-directed learning of SW and AI. As a result of conducting a pre-post survey of students participating in the 'Job's Garage Camp', the post-survey values improved compared to the pre-survey values in all areas of 'interest', 'understanding and confidence', and 'career aspirations'. Based on these results, it can be confirmed that students had a universal positive perception and influence on SW and AI. Therefore, if the operation case of 'Job's Garage Camp' is improved and expanded, it can be presented as a standard model applicable to other SW and AI education programs in the future.