• 제목/요약/키워드: scientific models and modeling

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ICT-oriented Training of Future HEI Teachers: a Forecast of Educational Trends 2022-2024

  • Olena, Politova;Dariia, Pustovoichenko;Hrechanyk, Nataliia;Kateryna, Yaroshchuk;Serhii, Nenko
    • International Journal of Computer Science & Network Security
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    • 제22권4호
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    • pp.387-393
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    • 2022
  • The article reflects short-term perspectives on the use of information and communication technologies in the training of teachers for higher education. Education is characterized by conservatism, so aspects of systematic development of the industry are relevant to this cluster of social activity. Therefore, forecasting the introduction of innovative elements of ICT training is in demand for the educational environment. Forecasting educational trends are most relevant exactly in the issues of training future teachers of higher education because these specialists are actually the first to implement the acquired professional skills in pedagogical activities. The article aims to consider the existing potential of ICT-based learning, its implementation in the coming years, and promising innovative educational elements that may become relevant for the educational space in the future. The tasks of scientific exploration are to show the optimal formats of synergy between traditional and innovative models of learning. Based on already existing experience, extrapolation of conditions of educational process organization with modeling realities of using information and communication technologies in various learning dimensions should be carried out. Educational trends for the next 3 years are a rather tentative forecast because, as demonstrated by the events associated with the COVID-19 pandemic, the socio-cultural space is very changeable. Consequently, the dynamism of the educational environment dictates the need for a value-based awareness of the information society and the practical use of technological advances. Thus, information and communication technologies are a manifestation of innovative educational strategies of today and become an important component along with traditional aspects of educational process organization. Future higher education teachers should develop a training strategy taking into account the expediency of the ICT component.

Physics-Informed Neural Networks 연구 동향 및 농업 분야 발전 방향 (Status and Development of Physics-Informed Neural Networks in Agriculture)

  • 이상연;신학종;박대헌;최원규;조성균
    • 전자통신동향분석
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    • 제39권4호
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    • pp.42-53
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    • 2024
  • Mathematical modeling is the process of representing physical phenomena using equations, and it often describes various scientific phenomena through differential equations. Numerical analysis, which is capable of approximating solutions to partial differential equations representing physical phenomena, is widely utilized. However, in high-dimensional or nonlinear systems, computational costs can substantially increase, leading to potential numerical instability or convergence issues. Recently, Physics-Informed Neural Networks (PINNs) have emerged as an alternative approach. A PINN leverages physical laws even with limited data to provide highly reliable predictive performance and can address the convergence issues and high computational costs associated with numerical analysis. This paper analyzes the weak signals, research trends, patent trends, and case studies of PINNs. On the basis of this analysis, it proposes directions for the development of PINN techniques in the agricultural field. In particular, the application of PINNs in agriculture is expected to be more effective than in other industries because of their ability to reflect real-time changes in biological processes. While the technology readiness level of PINNs remains low, the potential for model training with minimal data and real-time prediction capabilities suggests that PINNs could replace traditional numerical analysis models. It is anticipated that the research and industrial applications of PINN will develop at an increasing pace while focusing on addressing the complexity of mathematical models in agriculture, mathematical modeling and the application of various biological processes; securing key patents related to PINNs; and standardizing PINN technology in the field of agriculture.

UCD 대기경계층 풍동을 이용한 경계층 형성 (Modeling of Boundary Layer using Atmospheric Boundary Layer Wind Tunnel of UCD)

  • 부루스 알 와이트;김봉환;김대성
    • 한국기계가공학회지
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    • 제11권2호
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    • pp.118-124
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    • 2012
  • The simulation of the air flow over models in atmospheric boundary layer wind tunnel is a research region based on advanced scientific technologies imposed by the necessity of studying the turbulent fluid dynamics in the proximity of the Earth's surface. In this study, the atmospheric boundary layer wind tunnel of UCD is used, the mean velocities are measured by augmentation devices such as roughness blocks and spires. The experimental results of mean velocity profile are well fitted with the value of power law.

전차 교전 시뮬레이션을 위한 기본체계모델의 논리 모델링 방법 (Logical Modeling of Base System Model for Tank Engagement Simulation)

  • 이순주
    • 한국시뮬레이션학회논문지
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    • 제29권2호
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    • pp.63-72
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    • 2020
  • 다양한 무기체계 중 대표적인 지상 무기체계인 전차는 각국의 핵심 전력 중 하나로, 전차의 운용 개념과 효과도 분석을 통해 과학적 분석 기반의 비용 효과적인 연구개발을 할 수 있다. 이를 위하여 교전 시뮬레이션 기술이 활용될 수 있는데, 전차 무기체계를 모델링함에 있어 전차의 기동, 통신 등과 같은 물리적인 요소뿐만 아니라, 운용교리를 반영한 효과분석을 위하여 전차장 등의 의사결정을 모델링하는 논리 모델도 중요하다. 이 논문에서는 무기체계 통합시뮬레이션 소프트웨어(AddSIM)에서 제공하는 무기체계 모델의 표준 아키텍처인 기본체계모델(Base System Model, BSM)에 맞추어 전차 교전 시뮬레이션에 필요한 전차 BSM 설계방법에 대하여 논한다. 특히 논리 모델을 인간 의사결정 모델에 근거하여 세분화하였으며, DEVS 형식론이라는 수학적 형식론에 기반한 정형적인 모델링 방법으로 모델링하였다. 그 결과 전차 BSM을 계층적이고 모듈화된 형태로 제안하였다. 제안하는 방법은 향후 우리 군의 전차 운용 개념 연구와 전차의 효과분석 등에 활용될 것으로 기대된다.

Current strategies using 3D organoids to establish in vitro maternal-embryonic interaction

  • Islam Mohamed Saadeldin;Seif Ehab;Ahmed Elsayed Noreldin;Ayman Abdel-Aziz Swelum;Seonggyu Bang;Hyejin Kim;Ki Young Yoon;Sanghoon Lee;Jongki Cho
    • Journal of Veterinary Science
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    • 제25권3호
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    • pp.40.1-40.19
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    • 2024
  • Importance: The creation of robust maternal-embryonic interactions and implantation models is important for comprehending the early stages of embryonic development and reproductive disorders. Traditional two-dimensional (2D) cell culture systems often fail to accurately mimic the highly complex in vivo conditions. The employment of three-dimensional (3D) organoids has emerged as a promising strategy to overcome these limitations in recent years. The advancements in the field of organoid technology have opened new avenues for studying the physiology and diseases affecting female reproductive tract. Observations: This review summarizes the current strategies and advancements in the field of 3D organoids to establish maternal-embryonic interaction and implantation models for use in research and personalized medicine in assisted reproductive technology. The concepts of endometrial organoids, menstrual blood flow organoids, placental trophoblast organoids, stem cell-derived blastoids, and in vitro-generated embryo models are discussed in detail. We show the incorportaion of organoid systems and microfluidic technology to enhance tissue performance and precise management of the cellular surroundings. Conclusions and Relevance: This review provides insights into the future direction of modeling maternal-embryonic interaction research and its combination with other powerful technologies to interfere with this dialogue either by promoting or hindering it for improving fertility or methods for contraception, respectively. The merging of organoid systems with microfluidics facilitates the creation of sophisticated and functional organoid models, enhancing insights into organ development, disease mechanisms, and personalized medical investigations.

학생의 자유 탐구 활동의 사례 분석을 통해 본 실험 모델링의 특징과 과학교육적 의미 (Characteristics of Modeling of Experiment in Case Analysis of Students' Open Inquiry and its Meaning on Science Education)

  • 김관영;이종혁;최진현;전상학;이선경
    • 한국과학교육학회지
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    • 제42권2호
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    • pp.201-214
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    • 2022
  • 본 연구에서는 학생들의 자유 탐구 활동에서 나타나는 실험 모델링의 특징을 탐색하였다. 연구는 '학교과학탐구'라는 주제로 이루어진 3년의 연구 과제 수행에서 기수집한 자료를 '실험 모델' 관점에서 재해석한 것이다. 4명의 학생들로 구성된 1개 소집단이 7회에 걸쳐 수행한 탐구 활동을 녹화하고 녹음한 파일을 주된 자료원으로 하였으며, 녹화 및 전사본을 해석적인 방법에 따라 분석하였다. 문제 상황으로부터 출발하여 이를 해결하고 마무리되는 과정을 포괄하는 것을 모델링 단위로 볼 때, 학생들의 활동은 3개 실험 모델링 단위로 구분되었다. 연구의 결과는 각 모델링 단위에서 분산인지체계로서 실험 모델링의 역동적 과정과 특징을 조명하고 교육적 의미를 논하는 것을 포괄한다. 구체적으로는 첫째, 학생과 실험도구 그리고 그들 사이의 상호작용으로 나타나는 원시적 형태의 계산은 실험 모델링을 구성하는 분산인지체계의 중요한 요소로 드러났다. 둘째, 초기에 학생이 도구에 익숙해지는 비언어적인 활동이 이루어졌으며, 그 활동이 충분히 이루어졌을 때 언어적인 양적 기호가 창출되었다. 창출된 양적 기호는 이후 활동에서 참고할 수 있는 데이터와 자신감의 원천이 되었다. 셋째, 도구의 전용화가 발생하였으며, 변인통제와 같이 기존의 과학 탐구에서 중요하게 다룬 요소들이 나타났다. 연구의 결과는 기존의 과학교육에서 주목받지 못했던 실험 모델링의 특징을 학생 활동을 통해 펼쳐 보임으로써, 설명 모델 중심으로 이루어져왔던 과학교육 연구와 교육에 새로운 시사점을 제공한다.

Numerical evaluation of deformation capacity of laced steel-concrete composite beams under monotonic loading

  • Thirumalaiselvi, A.;Anandavalli, N.;Rajasankar, J.;Iyer, Nagesh R.
    • Steel and Composite Structures
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    • 제20권1호
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    • pp.167-184
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    • 2016
  • This paper presents the details of Finite Element (FE) analysis carried out to determine the limiting deformation capacity and failure mode of Laced Steel-Concrete Composite (LSCC) beam, which was proposed and experimentally studied by the authors earlier (Anandavalli et al. 2012). The present study attains significance due to the fact that LSCC beam is found to possess very high deformation capacity at which range, the conventional laboratory experiments are not capable to perform. FE model combining solid, shell and link elements is adopted for modeling the beam geometry and compatible nonlinear material models are employed in the analysis. Besides these, an interface model is also included to appropriately account for the interaction between concrete and steel elements. As the study aims to quantify the limiting deformation capacity and failure mode of the beam, a suitable damage model is made use of in the analysis. The FE model and results of nonlinear static analysis are validated by comparing with the load-deformation response available from experiment. After validation, the analysis is continued to establish the limiting deformation capacity of the beam, which is assumed to synchronise with tensile strain in bottom cover plate reaching the corresponding ultimate value. The results so found indicate about $20^{\circ}$ support rotation for LSCC beam with $45^{\circ}$ lacing. Results of parametric study indicate that the limiting capacity of the LSCC beam is more influenced by the lacing angle and thickness of the cover plate.

블랙박스 시뮬레이션에 참여한 초등예비교사의 모형 구성의 특징과 인식적 기준 (Analyzing the Characteristics of Pre-service Elementary School Teachers' Modeling and Epistemic Criteria with the Blackbox Simulation Program)

  • 박정우;이선경;심한수;이경건;신명경
    • 한국과학교육학회지
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    • 제38권3호
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    • pp.305-317
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    • 2018
  • 본 연구에서는 블랙박스 시뮬레이션 활동 과정에서 연구 참여 학생들의 모형 구성 특징과 인식적 기준을 탐색하였다. 연구를 위해 과학적 실행을 반영하는 비구조화된 문제상황인 블랙박스 시뮬레이션을 개발하여 활동에 적용하였다. 이 과정에 교육대학교 2학년 89명의 학생들이 참여하여 23개 모둠으로 나누어 블랙박스 내부구조에 대한 그들의 생각을 다양하게 가시화하여 모형화하고 수정하고 평가하는 등의 활동을 하였다. 모든 학생들의 활동 과정은 녹음 및 녹화되었고 분석에 활용하였다. 연구의 결과로 블랙박스 활동에서 학생들이 구성한 모형은 형태와 기능을 고려하여 4가지 유형으로 범주화되었다. 대표 모형을 선택하는 과정에서 모형 평가가 나타났으며, 모형 평가에는 실험적 정합성, 포괄성, 유비, 간명성, 구현가능성의 인식적 기준이 적용되었다. 이상의 연구 과정과 결과를 토대로 논의된 교육적 함의는 다음과 같다. 첫째, 이 연구에서 학생들이 참여한 블랙박스 시뮬레이션 활동은 모형을 구성하고 시험해 보면서 과학적 실행의 본질을 명시적 및 암묵적으로 체험할 수 있는 맥락을 제공하였다는데 교육적 의미가 있다. 둘째, 활동 초기부터 학생들이 모형 구성에 적용한 인식적 기준들, 즉 실험적 정합성, 포괄성, 유비, 간명성, 구현가능성이 모두 엄격하게 작동하진 않았으며 맥락에 따라 역동적으로 적용되었다. 셋째, 이 연구의 맥락뿐 아니라 다양하고 구체적인 맥락에서의 인식적 기준에 대한 연구는 과학적 실행의 본질에 대한 이해의 지평을 넓혀줄 것이다. 본 연구의 맥락이었던 시뮬레이션 활동은 미래 사회에서 더욱 중요시될 컴퓨팅적 사고와 연관된 연구로 이어질 수 있으며, 시범 연구인 본 연구의 맥락과 방법을 더 정교화 및 체계화한 추후 연구는 과학적 실행의 본질에 대한 풍부한 논의를 이끌 수 있을 것으로 기대한다.

Unveiling Zoological Realms: Exploring the Virtual Frontier, Analyzing Data Export Techniques, and Crafting Immersive Experiences

  • Jumamurod Aralov Farhod Ugli;Narzulloev Oybek Mirzaevich;Leehwan Hwang;Seunghyun Lee
    • International Journal of Internet, Broadcasting and Communication
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    • 제16권3호
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    • pp.242-252
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    • 2024
  • This study introduces a prototype for a virtual zoo initiative, aimed at optimizing resource utilization and minimizing animal displacement from their natural habitats. The prototype features a thoughtfully developed three-dimensional representation of an emperor penguin, with animations designed to emulate real-life behaviors. An investigation into file format distinctions for scientific research, encompassing Wavefront(OBJ), Collada(DAE), and Filmbox(FBX) formats, was conducted. The research utilized the Hololens 2 device for visualization, Unity for environment development, Blender for modeling, and C# for programming, with deployment facilitated through Visual Studio 2019 and the Mixed Reality Toolkit. Empirical examination revealed the OBJ format's suitability for simple geometric shapes, while DAE and FBX formats were preferred for intricate models and animations. DAE files offer detailed preservation of object structure and animations albeit with larger file sizes, whereas FBX files provide compactness but may face scalability constraints due to extensive data integration. This investigation underscores the potential of virtual zoos for conservation and education, advocating for further exploration and context-specific implementation.

Quantitative Approaches in Use to Assess Cancer Risk

  • Anderson Elizabeth L.
    • 대한예방의학회:학술대회논문집
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    • 대한예방의학회 1994년도 교수 연수회(환경)
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    • pp.450-468
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    • 1994
  • Scientists have long used conventional toxicological methods to establish 'safe levels of exposure' for chemicals presumed to have threshold health effects or doses below which significant effects are unlikely to occur. These same methods cannot be used to establish safe levels of exposure for non-threshold pollutants. such as carcinogens. Therefore. Federal regulatory agencies in the United States are using risk assessment methods to provide information for public health policy decisions concerning increases in risk associated with increases in exposure to carcinogenic and other non-threshold pollutants. Acceptable exposure/risk levels are decided by policymakers who consider descriptions and estimates of risks together with social and economic benefits from the uses of the chemical. 1bis paper focuses on the development of quantitative risk assessment approaches by Federal regulatory agencies in the United States, and identifies the mathematical models currently being used for risk extrapolation. including their inherent uncertainties. The uncertainties and limitations of these methods have led some scientists to question the utility of quantitative risk extrapolation. The experience of the; U.S. Environmental Protection Agency (EPA). as summarized in this paper. can provide a realistic basis for evaluating the pros and cons. Finally. shortcomings in current risk assessment methods and their use in policy decisions are explored. and areas for possible improvement. given current scientific knowledge. are identified.

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