• 제목/요약/키워드: AI year

검색결과 163건 처리시간 0.022초

만 5세 대상 놀이중심 인공지능 교육 프로그램 개발을 위한 유아교사의 인식과 요구분석 (The Perception and Needs Analysis of Early Childhood Teachers for Development of a Play-Based Artificial Intelligence Education Program for 5-Year-Olds)

  • 박지은;홍미선;조정원
    • 산업융합연구
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    • 제20권5호
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    • pp.39-59
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    • 2022
  • 본 논문은 만 5세 대상 인공지능(AI) 교육 프로그램을 개발하기 위해 AI 교육에 대한 유아교사의 인식과 요구사항들을 분석하는데 목적을 두고 있다. 연구방법은 ADDIE 모형의 1단계인 분석단계를 중심으로 AI 교육의 교육적 요소를 추출하기 위해 설문조사 및 심층 인터뷰를 진행하였다. 연구결과는 첫째, 만 5세 대상 AI 교육은 놀이로서 자연스럽게 받아들일 수 있는 유아교육 내용과 AI를 융합한 교육과정을 설계해야 한다. 둘째, 교사의 성찰을 반영할 수 있는 AI 교육의 평가도구가 체계적으로 개발되어야 한다. 셋째, 놀이중심의 AI 교육환경 지원 및 유아교사 대상 교육지원이 필요하다. 마지막으로 비교과 교육과정의 AI 교육 등을 고려하여 지속해서 유아교육 현장에서 운영될 수 있도록 시스템을 구축해야 한다. 향후 만 5세 대상 놀이중심 AI 교육 프로그램을 개발하여 유아 대상의 AI 교육에 대한 인식을 확산하고 학습자의 연령별, 단계별 AI 교육 접근방안을 제시할 것을 기대한다.

한우 송아지 성비에 대한 수정년도, 종모우, 농가 및 빈우산차의 효과 (Effect of AI Year, Sire, Farm and Cow Parity on Sex Ratio in Hanwoo)

  • 이덕희;김상훈;김정상;임진규;여영근;박영식
    • 한국가축번식학회지
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    • 제25권3호
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    • pp.227-230
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    • 2001
  • 송아지의 성에 영향을 미치는 인자를 알고 이를 활용한다면 한우산업의 경쟁력을 재고시킬 수 있을 것으로 사료되며, 따라서 본 연구에서는 송아지 성비에 영향을 미칠 것으로 예상되는 요인의 효과를 분석하고 나아가서 원하는 성의 송아지를 선택할 수 방안을 제시하고자 실시하였다. 인공수정에 의해 태어난 송아지의 성비는 수정년도와 빈우의 산차에 의해 영향을 받지 않았으나, 종모우와 농가에 따라 송아지의 성비에 차이가 있었다. 따라서 원하는 성의 송아지를 생산하기 위해서는 적정 종모우를 선택하여 인공수정하고 빈우를 적정 사양 환경에서 사육하여야 한다.

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New Year Wave의 통계적 특성에 대하여 (On the Statistical Characteristics of the New Year Wave)

  • 김도영
    • 한국해양공학회지
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    • 제27권1호
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    • pp.102-108
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    • 2013
  • In this paper time series wave data, which were measured at the Draupner platform in the North Sea on 1995, are used to investigate statistical characteristics of nonlinear wave. Various statistical properties based on time and frequency domain are examined. The Gram-Chalier distribution fits the probability of wave elevation better than the Gaussian distribution. The skewness of wave profile is 0.393 and the kurtosis is 4.037 when the freak wave is occurred. The nonlinearity of D1520 data is higher than two adjacent wave data. AI index of the New Year Wave is 2.11 and the wave height is 25.6m. The zero crossing wave period of the New Year Wave is 12.5s which is compared to the average zero up-crossing period 11.3s. The significant steepness of wave data is 0.077 when the freak wave was occurred. H1/3/${\eta}_s$ does not increases as the kurtosis increases and the values is close to 4. The New Year Wave belongs to highly nonlinear wave data packet but the AI index is within linear focusing range.

정자의 운동특성이 인공수정 수태율에 미치는 영향 (Effects of sperm motional characteristics on pregnancy rate in HanWoo (Bos taurus coreane))

  • 이성수;김덕임;박노형;원유석
    • 대한수의학회지
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    • 제40권1호
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    • pp.187-195
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    • 2000
  • The ejaculates from 67 HanWoo prove bull, bred in Livestock Improvement Main center of NLCF, were used to determine the correlation between the sperm motional characteristics and the pregnancy rate of artificial insemination(AI). The motional characteristics of sperm were analysed by Computer-assisted sperm analyser(CASA), thereafter inseminated equally 1,256 heads of cow regarding to parity, age, and live weight. There were no significant difference(p>0.05) in the pregnancy rate according to year from 1996 to 1998, but the LIN, ALH, STR, BCF, MAD and WOB of sperm in the year 1997, were highest pregnancy rate, were higher than those of sperm in the year 1998, were lowest pregnancy rate(p<0.05). The semen had no significant effect on pregnancy rate according to season(p>0.05). However spring, had a little higher pregnancy rate than that of autumn, were higher than autumn in VSL, VAP, LIN, ALH, BCF, MAD and WOB, but in DNM. The pregnancy rates of spring in the year 1996 and 1997 were higher than that of autumn in the year 1998(p<0.05). The spring in the year 1997, highest in pregnancy rate, were higher than the autumn in the year 1998 in VSL, VAP, LIN, STR, BCF, MAD and WOB, but in DNM(p<0.05). There were no the motion characteristic of sperm that was significant correlate with pregnancy rate of AI as the semen were analysed before artificial insemination and those, had some degree characteristics in motility, viability and abnormality, were used to AI. However there were a tendency that the higher the VSL, VAP, ALH, LIN, STR, BCF, MAD and WOB and the lower the DNM were, the higher the pregnancy rate of AI were.

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의료 인공지능에 대한 대한민국 영상의학과 전공의의 인식 조사 연구 (Survey of the Knowledge of Korean Radiology Residents on Medical Artificial Intelligence)

  • 이현빈;박성호;김채리;김승관;차재형
    • 대한영상의학회지
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    • 제81권6호
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    • pp.1397-1411
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    • 2020
  • 목적 이 연구는 인공지능(artificial intelligence; 이하 AI)에 대한 영상의학과 전공의들의 인식 및 의견을 알아보고자 하였다. 대상과 방법 2019년 6월 4일부터 7일까지 AI와 관련한 18개의 객관식 문항과 1개의 주관식 문항이 포함된 설문의 응답을 받았다. 모집된 결과를 로지스틱 회귀분석을 이용하여 전공의 연차, 소속 병원의 위치 및 규모 등의 요인에 따라 분석하였다. 결과 총 101명(89.4%)의 전공의가 응답하였다. AI의 지식적 측면에서 응답자의 50명(49.5%)이 AI에 대해 평균 이상으로 공부하고 있으며, 68명(67.3%)이 AI 관련 용어에 대한 이해도가 평균 이상이라고 응답하였다. 또한 서울 및 경기 지역 응답자가 기타 지역 응답자에 비하여 AI에 대한 자가 평가 및 지식수준이 의미 있게 높았으며, 4년차 전공의에 비해 1~2년차 전공의가 AI에 대한 자가 평가 및 지식수준이 의미 있게 낮았다. AI 관련 연구에 참여해본 적 있는 전공의는 15.8%이었지만, 추후 연구 참여 의향이 있는 전공의는 90%에 달하였다. 전공의 들은 또한 학회 주도의 AI 교육 및 적극적 홍보를 원하고 있었다. 결론 영상의학과 전공의의 AI 교육 수요를 충족시키고, 의료 AI 시대의 영상의학과 의사의 역할을 제대로 알리기 위해 보다 많은 학회 차원의 노력이 요청된다.

A Case Study of Creative Art Based on AI Generation Technology

  • Qianqian Jiang;Jeanhun Chung
    • International journal of advanced smart convergence
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    • 제12권2호
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    • pp.84-89
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    • 2023
  • In recent years, with the breakthrough of Artificial Intelligence (AI) technology in deep learning algorithms such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAE), AI generation technology has rapidly expanded in various sub-sectors in the art field. 2022 as the explosive year of AI-generated art, especially in the creation of AI-generated art creative design, many excellent works have been born, which has improved the work efficiency of art design. This study analyzed the application design characteristics of AI generation technology in two sub fields of artistic creative design of AI painting and AI animation production , and compares the differences between traditional painting and AI painting in the field of painting. Through the research of this paper, the advantages and problems in the process of AI creative design are summarized. Although AI art designs are affected by technical limitations, there are still flaws in artworks and practical problems such as copyright and income, but it provides a strong technical guarantee in the expansion of subdivisions of artistic innovation and technology integration, and has extremely high research value.

AB9: A neural processor for inference acceleration

  • Cho, Yong Cheol Peter;Chung, Jaehoon;Yang, Jeongmin;Lyuh, Chun-Gi;Kim, HyunMi;Kim, Chan;Ham, Je-seok;Choi, Minseok;Shin, Kyoungseon;Han, Jinho;Kwon, Youngsu
    • ETRI Journal
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    • 제42권4호
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    • pp.491-504
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    • 2020
  • We present AB9, a neural processor for inference acceleration. AB9 consists of a systolic tensor core (STC) neural network accelerator designed to accelerate artificial intelligence applications by exploiting the data reuse and parallelism characteristics inherent in neural networks while providing fast access to large on-chip memory. Complementing the hardware is an intuitive and user-friendly development environment that includes a simulator and an implementation flow that provides a high degree of programmability with a short development time. Along with a 40-TFLOP STC that includes 32k arithmetic units and over 36 MB of on-chip SRAM, our baseline implementation of AB9 consists of a 1-GHz quad-core setup with other various industry-standard peripheral intellectual properties. The acceleration performance and power efficiency were evaluated using YOLOv2, and the results show that AB9 has superior performance and power efficiency to that of a general-purpose graphics processing unit implementation. AB9 has been taped out in the TSMC 28-nm process with a chip size of 17 × 23 ㎟. Delivery is expected later this year.

어린이집내 인공지능 로봇 사용경험 여부에 따른 유아의 인공지능 인식 차이 (Differences in Preschool Children's Perceptions of Artificial Intelligence according to their Experiences with AI Robots in daycare centers)

  • 이보람;김수정
    • 한국보육지원학회지
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    • 제19권2호
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    • pp.43-59
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    • 2023
  • Objective: This study investigated the differences in preschool children's perceptions of artificial intelligence (AI) and their distribution by latent profiles according to their experience with AI robots in daycare centers. Methods: The participants included 119 five-year-old children, 52 of whom had experience with AI robots in daycare centers and 67 of whom did not. Children's perceptions of AI were measured using the Godspeed scale from Bartneck et al.(2009). Data were analyzed using a t-test, latent profile analysis, and chi-square test. Results: The results showed that compared to the inexperienced group, the experienced group reported lower levels of animacy and perceived intelligence of AI robots, indicating higher levels of AI knowledge and understanding. In addition, the experienced group had a higher probability of belonging to the 'machine recognition' type than 'organism recognition' type, although the difference was not statistically significant. Conclusion/Implications: The findings suggest that experience with AI robots in daycare centers can improve children's AI knowledge and understanding. To further enhance this effect, it is necessary to increase the number of robots put into classrooms, and to consider various teaching media that reflect children's preferences.

한우 빈우의 임신기간에 대한 사육농가, 빈우산차, 수정년도 및 종모우의 효과 (Effect of Farm, Cow Parity, AI Year and Sire on Gestation Duration in Hanwoo)

  • 이덕희;이원봉;김정상;임진규;여영근;박영식
    • 한국가축번식학회지
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    • 제25권3호
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    • pp.231-235
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    • 2001
  • 임신기간은 주요 경제형질 중 하나로서, 임신기간의 단축은 생산비를 감소시켜 한우산업의 경쟁력을 재고시킬 수 있다. 따라서 본 연구는 임신기간에 영향을 미칠 것으로 예상되는 요인들의 효과를 분석하고 대안을 제시하기 위하여 실시하였다. 빈우의 임신기간은 빈우의 산차에 의해 영향을 받지 않았으나, 사육농가와 수정년도 및 종모우에 따라 유의한 차이가 있었다 따라서 임신기간을 단축시키기 위해서는 빈우의 사양환경을 최적화하고 영양관리를 적정화하며 적절한 종모우를 선택하여 인공수정에 사용하여야 한다.

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인공지능 리터러시 신장을 위한 인공지능 사고 기반 교육 프로그램 개발 및 효과 (Development and Effectiveness of an AI Thinking-based Education Program for Enhancing AI Literacy)

  • 이주영;원용호;신윤희
    • 공학교육연구
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    • 제26권3호
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    • pp.12-19
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    • 2023
  • The purpose of this study is to develop the Artificial Intelligence thinking-based education program for improving AI literacy and verify its effectiveness for beginner. This program consists of 17 sessions, was designed according to the "ABCDE" model and is a project-based program. This program was conducted on 51 first-year middle school students and 36 respondents excluding missing values were analyzed in R language. The effect of this program on ethics, understanding, social competency, execution plan, data literacy, and problem solving of AI literacy is statistically significant and has very large practical significance. According to the result of this study, this program provided learners experiencing Artificial Intelligence education for the first time with Artificial Intelligence concepts and principles, collection and analysis of information, and problem-solving processes through application in real life, and served as an opportunity to enhance AI literacy. In addition, education program to enhance AI literacy should be designed based on AI thinking.