• Title/Summary/Keyword: 인공지능 전공

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AI-based Construction Site Safety Assistance System (AI 를 활용한 건설현장 안전지원 시스템)

  • Tae-In Han;Jong-Hak Kim;Sung-Gyu Lee;Seung-Hwan Lee
    • Annual Conference of KIPS
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    • 2024.10a
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    • pp.898-899
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    • 2024
  • 본 시스템은 객체인식용 인공지능을 사용하여 건설현장의 현장 안전 관리자의 업무를 지원하는 목적으로 연구되었다. CCTV 를 통해 제공된 화면으로 노동자의 안전 장비 및 건설 기기에 대한 객체 인식을 행하는 AI 와 안전이 확보되지 않은 구역의 출입을 제한하는 센서로 구성된다. 그 결과, 안전 장비 착용 미흡, 건설 기기 출입을 파악하여 그에 따른 조치를 통해 사고 예방을 지원한다.

A Study on the Development of Artificial Intelligence in a Liberal Arts Applying SSI (SSI를 적용한 인공지능 교양 교과목 개발 연구)

  • Lee, KyungHee
    • Journal of Convergence for Information Technology
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    • v.11 no.3
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    • pp.229-235
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    • 2021
  • Artificial intelligence technology is influencing across all areas as technology advances and social needs change. Therefore, Korean universities have actively developed and operated classes related to artificial intelligence, and have emphasized the importance of artificial intelligence not only in major education but also in liberal arts education. However, there is a lack of research on the development of educational methods and educational programs because artificial intelligence education in liberal arts is in its early stages. SSI is an education that can apply social and ethical problems related to science to open problems that can creatively and reasonably present solutions. SSI can be applied to make AI education more effective. In this study, an artificial intelligence liberal arts curriculum applied SSI was developed with three purposes: First, it is designed is designed so that students subject to education can access it by considering its characteristics as actors of the intelligent information society. Second, it is designed so that students can experience artificial intelligence programs themselves and deal with science technology and social relevance in depth, focusing on various examples of real life. Third, it is designed and approached so that students can participate and cooperate for the purpose of solving common problems to develop cooperative problem-solving skills.

A Study on Artificial Intelligence Literacy, Grit, and Creative Convergence Capabilities of Nursing Students (간호대학생의 인공지능리터러시와 그릿 및 창의융합역량에 관한 연구)

  • Eun Jin Oh;Jung Hyun Kong;Han Sang Mi
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.5
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    • pp.289-297
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    • 2024
  • This study was attempted to confirm the effects of nursing students' artificial intelligence literacy and grit on their creative convergence capabilities. This study targeted 133 students attending two nursing colleges located in G Province. Data analysis was analyzed using SPSS 21 program with descriptive statistics, t-test, ANOVA, Pearson correlation coefficient, and multiple regression analysis. The average creative convergence competency of the subjects was 3.53 points, and there was a significant difference in creative convergence competency according to general characteristics in grades (F=8.65, p<.005) and major satisfaction (F=3.95, p=.021). there was. The subject's creative convergence capability had a statistically significant positive correlation with artificial intelligence literacy (r=.599, p<.001) and grit (r=473, p<.001). The influencing factors on the subjects' creative convergence capabilities were artificial intelligence literacy (β=0.350, p<.001) and grit (β=0.192, p<.001), and the explanatory power of these variables was 45.6%. Based on the above research results, it is necessary to develop and apply curriculum and extracurricular programs that can improve artificial intelligence literacy and grit in order to improve the creative convergence capabilities of nursing students.

A Study on Comparing the Computer Science Education Hours between Public and Private Elementary Schools (공립초등학교와 사립초등학교의 정보교육 시수 비교 연구)

  • Choi, Moonseok;Shin, Seungki
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.107-112
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    • 2021
  • This study tried to analyze the hours for computer science education in private elementary schools located in Seoul, in order to find out how many lesson hours are required. According to online discussion participation in the 2022 revised curriculum survey results, it was found that students and parents wanted computer science education to be strengthened. Information education in public elementary schools consists of a separate unit in the practical subject based on the 2015 revised curriculum and is to be implemented for more than 17 hours. As a result of surveying the average hours of computer science education based on school reminder of 28 private elementary schools in Seoul, it was found that about 152 hours of information education were being operated for 6 years. This is about 9 times the gap in education hours compared to public elementary schools. Artificial intelligence is emerging as important, so the lesson hours of information education must be secured to strengthen students' future competency in morden society. Therefore, informatics curriculum should be independent as a subject and secure the number of hours in the elementary school level.

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A Study on the Method of Creating Realistic Content in Audience-participating Performances using Artificial Intelligence Sentiment Analysis Technology (인공지능 감정분석 기술을 이용한 관객 참여형 공연에서의 실감형 콘텐츠 생성 방식에 관한 연구)

  • Kim, Jihee;Oh, Jinhee;Kim, Myeungjin;Lim, Yangkyu
    • Journal of Broadcast Engineering
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    • v.26 no.5
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    • pp.533-542
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    • 2021
  • In this study, a process of re-creating Jindo Buk Chum, one of the traditional Korean arts, into digital art using various artificial intelligence technologies was proposed. The audience's emotional data, quantified through artificial intelligence language analysis technology, intervenes in various object forms in the projection mapping performance and affects the big story without changing it. If most interactive arts express communication between the performer and the video, this performance becomes a new type of responsive performance that allows the audience to directly communicate with the work, centering on artificial intelligence emotion analysis technology. This starts with 'Chuimsae', a performance that is common only in Korean traditional art, where the audience directly or indirectly intervenes and influences the performance. Based on the emotional information contained in the performer's 'prologue', it is combined with the audience's emotional information and converted into the form of images and particles used in the performance to indirectly participate and change the performance.

Development of Artificial Intelligence Education System for K-12 Based on 4P (4P기반의 K-12 대상 인공지능 교육을 위한 교육체계 개발)

  • Ryu, Hyein;Cho, Jungwon
    • Journal of Digital Convergence
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    • v.19 no.1
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    • pp.141-149
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    • 2021
  • Due to the rapid rise of artificial intelligence technology around the world, SW education conducted in elementary and secondary schools is expanding including AI education. Therefore, this study aims to present an AI education system based on 4P(Play, Problem Solving, Product Making, Project) that can be applied from kindergarten to high school. The AI education system presented in this study is designed to be applied in 4P-based Play, Problem Solving, Product Making, and Project 4 stages so that it can be applied by school age and step by step. The level was presented by dividing it into two areas: AI literacy and AI development. In order to verify the validity of the developed AI education system, the Delphi method was applied to 15 experts who had experience in SW education or AI education. The AI education system derived as a result of the verification will be able to contribute to the development of a content system for AI education at each school level in the future.

Research on Sharding Model for Enabling Cross Heterogeneous Blockchain Transactions (이기종 블록체인간 거래를 위한 샤딩모델 연구)

  • Hong, Sunghyuck
    • Journal of Digital Convergence
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    • v.19 no.5
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    • pp.315-320
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    • 2021
  • While blockchain platforms for various purposes have been developed and the blockchain ecosystem is being developed, interoperability problems are emerging in which each blockchain is isolated and operated. In this study, we introduce interchain and sidechain technologies, which are blockchain that connect blockchain, and explain examples of using heterogeneous blockchain transactions and functions by applying them. In addition, blockchain, artificial intelligence, and IoT technologies, which are drawing attention in the fourth industrial revolution, are going through a process of converging and developing beyond their own development. In this regard, we present processes for combining artificial intelligence or IoT in blockchain, and propose a model that can operate without intervention by applying the combination of blockchain and artificial intelligence IoT to processes for trading and exchange between heterogeneous blockchain.

Deep Learning-Based Dynamic Scheduling with Multi-Agents Supporting Scalability in Edge Computing Environments (멀티 에이전트 에지 컴퓨팅 환경에서 확장성을 지원하는 딥러닝 기반 동적 스케줄링)

  • JongBeom Lim
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.9
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    • pp.399-406
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    • 2023
  • Cloud computing has been evolved to support edge computing architecture that combines fog management layer with edge servers. The main reason why it is received much attention is low communication latency for real-time IoT applications. At the same time, various cloud task scheduling techniques based on artificial intelligence have been proposed. Artificial intelligence-based cloud task scheduling techniques show better performance in comparison to existing methods, but it has relatively high scheduling time. In this paper, we propose a deep learning-based dynamic scheduling with multi-agents supporting scalability in edge computing environments. The proposed method shows low scheduling time than previous artificial intelligence-based scheduling techniques. To show the effectiveness of the proposed method, we compare the performance between previous and proposed methods in a scalable experimental environment. The results show that our method supports real-time IoT applications with low scheduling time, and shows better performance in terms of the number of completed cloud tasks in a scalable experimental environment.

Education Plan of Artificial Intelligence Programming using Raspberry Pi for Computer Major Students of Industrial Specialized High Schools (공업계 특성화고등학교 컴퓨터 전공 학생들을 위한 라즈베리파이 활용 인공지능 프로그래밍 교육 방안)

  • Semin Kim
    • Journal of Practical Engineering Education
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    • v.15 no.2
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    • pp.365-371
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    • 2023
  • In this study, we proposed a plan to educate computer students at industrial specialized high schools about artificial intelligence programming using Raspberry Pi. To create an educational program, we received advice from experts working in schools and industries, analyzed existing research and requirements, designed weekly learning plans, developed teaching materials, and conducted classes. Due to the small number of research subjects, interviews were conducted with students, and the results of the teacher's diary were also presented to derive qualitative research results. The main interview results show that although it is true that interest in the field of artificial intelligence has increased through the class, many responded that the learning content is still difficult. The teacher's diary mainly included information about the latest trends in the industry that informatics and computer teachers should not miss out on. We hope that this study will provide an opportunity to meet the needs of the industry by increasing the proportion of artificial intelligence programming in industrial specialized high schools.

A Study on Middle School Students' Perception on Intelligent Robots as companions. (지능형 로봇과의 공존에 대한 중학생들의 인식 조사)

  • Kim, YangEun;Kim, HyeonCheol
    • The Journal of Korean Association of Computer Education
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    • v.22 no.4
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    • pp.35-45
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    • 2019
  • How future generations perceive coexistence with intelligent robots is an important element of how SW and artificial intelligence education should be designed and conducted. This study conducted a survey of 214 first graders in middle school and looked at differences in understanding and perception of coexistence through empathy and expected problem situations depending on the type of intelligent robot. As a result of the analysis, Firstly, if the form was not explicit, it was recognized as a top-down relationship, and Second, in the case of human form, it was ready to recognize intelligent robots and communicate with them. Third, Many people were feeling Emotion in the Robot shape AI. Fourth, there was a vague sense of uneasiness about simple mechanical robots. The study is meaningful as a case study to confirm awareness of intelligent robots and needs to consider and establish awareness of whether they can coexist and live together with robots by age group as well as middle school students.