• 제목/요약/키워드: circulation learning model

검색결과 21건 처리시간 0.025초

과학기술정책을 위한 국가학습조직모형

  • 오형식;신상문
    • 기술혁신연구
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    • 제5권2호
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    • pp.22-47
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    • 1997
  • This paper suggests a model of Living & Learning Nation as a new ploicy framework. It is a combination of Living Nation and Learning Nation. Living Nation model takes the nation as a living entity composed of spirit, resource, and communication : it grows but healthy and balanced growth is needed, its organs are closely connected, it has a circulation system, the 'spirit' factor plays the central role, etc.. Learning Nation model is a national level version of learning organization concept. The model defines new perspectives on the objectives, span of means, and the role of government in S&T policy. Therefore, the model can be used to give new insights to policymakers of developing countries facing the knowledge-based economy.

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렌즈를 지나는 빛의 경로 학습에서 기본 개념을 강화한 초등 과학 영재 수업의 효과 (Effects of the Classes on the Path of the Light through the Lens Focused on Substantial Concepts for the Elementary School Gifted in Science)

  • 이인호;홍준의;전영석
    • 한국초등과학교육학회지:초등과학교육
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    • 제25권spc5호
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    • pp.548-555
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    • 2007
  • In this paper, we suggested that those elementary school students who are gifted in science should be taught basic and fundamental concepts to solve applied problems. We developed a teaching model based on a lesson regarding the path that light takes when passing through a lens on the base of refraction of light. We applied the teaching model to scientifically-gifted elementary school students and analyzed the results. The teaching model is based on the circulation loaming model appropriate for learning such concepts. The problems were designed and applied in order to determine the students' level of concept skills held and also to develop new teaching tools to help their understanding of concepts. As a result, we confirmed that the students, who were unable to describe the path of the light before the course of instruction was given, were able to draw and explain the path of light passing trough lens by using the law of refraction following the instruction.

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An Ensemble Approach to Detect Fake News Spreaders on Twitter

  • Sarwar, Muhammad Nabeel;UlAmin, Riaz;Jabeen, Sidra
    • International Journal of Computer Science & Network Security
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    • 제22권5호
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    • pp.294-302
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    • 2022
  • Detection of fake news is a complex and a challenging task. Generation of fake news is very hard to stop, only steps to control its circulation may help in minimizing its impacts. Humans tend to believe in misleading false information. Researcher started with social media sites to categorize in terms of real or fake news. False information misleads any individual or an organization that may cause of big failure and any financial loss. Automatic system for detection of false information circulating on social media is an emerging area of research. It is gaining attention of both industry and academia since US presidential elections 2016. Fake news has negative and severe effects on individuals and organizations elongating its hostile effects on the society. Prediction of fake news in timely manner is important. This research focuses on detection of fake news spreaders. In this context, overall, 6 models are developed during this research, trained and tested with dataset of PAN 2020. Four approaches N-gram based; user statistics-based models are trained with different values of hyper parameters. Extensive grid search with cross validation is applied in each machine learning model. In N-gram based models, out of numerous machine learning models this research focused on better results yielding algorithms, assessed by deep reading of state-of-the-art related work in the field. For better accuracy, author aimed at developing models using Random Forest, Logistic Regression, SVM, and XGBoost. All four machine learning algorithms were trained with cross validated grid search hyper parameters. Advantages of this research over previous work is user statistics-based model and then ensemble learning model. Which were designed in a way to help classifying Twitter users as fake news spreader or not with highest reliability. User statistical model used 17 features, on the basis of which it categorized a Twitter user as malicious. New dataset based on predictions of machine learning models was constructed. And then Three techniques of simple mean, logistic regression and random forest in combination with ensemble model is applied. Logistic regression combined in ensemble model gave best training and testing results, achieving an accuracy of 72%.

인공지능에 의한 MAP 네트워크의 성능관리기 개발 (Development of MAP Network Performance Manger Using Artificial Intelligence Techniques)

  • 손준우;이석
    • 한국정밀공학회지
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    • 제14권4호
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    • pp.46-55
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    • 1997
  • This paper presents the development of intelligent performance management of computer communication networks for larger-scale integrated systems and the demonstration of its efficacy using computer simula- tion. The innermost core of the performance management is based on fuzzy set theory. This fuzzy perfor- mance manager has learning ability by using principles of neuro-fuzzy model, neuralnetwork, genetic algo- rithm(GA). Two types of performance managers are described in this paper. One is the Neuro-Fuzzy Per- formance Manager(NFPM) of which learning ability is based on the conventional gradient method, and the other is GA-based Neuro-Fuzzy Performance Manager(GNFPM)with its learning ability based on a genetic algorithm. These performance managers have been evaluated via discrete event simulation of a computer network.

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인공신경망을 이용한 좌심실보조장치의 제어 (Control of Left Ventricular Assist Device using Artificial Neural Network)

  • 류정우;김훈모;김상현
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1996년도 추계학술대회 논문집
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    • pp.260-266
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    • 1996
  • In this paper, we presents neural network identification and control of highly complicated nonlinear Left Ventricular Assist Device(LVAD) system with a pneumatically driven mock circulation system. Generally the LVAD system need to compensate nonlinearities. Hence, it is necessary to apply high performance control techniques. Fortunately, the neural network can be applied to control of a nonlinear dynamic system by learning capability. In this study, we identify the LVAD system with Neural Network Identification. Once the NNI has learned the dynamic model of LVAD system, the other network, called Neural Network Controller(NNC), is designed for control of a LVAD system. The ability and effectiveness of identifying and controlling a LVAD system using the proposed algorithm will be demonstrated by computer simulation.

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의학교육 수월성 제고를 위한 교육과정 재설계 (Curriculum Redesign for Excellence in Medical Education)

  • 양은배
    • 의학교육논단
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    • 제16권3호
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    • pp.126-131
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    • 2014
  • The purpose of this study is to analyze the medical education system of Korea and to propose a method of curriculum redesign. Although there have been many attempts by medical educators to improve the quality of medical education, the results have not been fruitful. First, there exists a limitation to the dualistic curriculum design based on Flexnerianism, and thus, this model does not provide an integrated experience to medical students. Therefore, we propose a unidimensional model for curriculum redesign. Second, it is impossible to promote excellence in medical education without solving the structural problems of teaching and learning, such as the teaching competency of the faculty, large-scale lectures, and team teaching systems. A curricular strategy that emphasizes mutual interaction and teaching accountability is necessary to promote meaningful learning. Third, the current clinical training system, the circulation model, provides incomplete training as well as a lack of sequence and articulation experiences. This system needs to be redesigned in a way that allows only those students who have mastered both the knowledge and the application of medical education to advance to the next step. Fourth, norm-referenced assessments of a medical college distort the learning process and create unconstructive system energy. A criterion-referenced assessment that values cooperation, independent study, and intrinsic motivation is more important for the reliability and validity of the assessment. Medical students should not focus on formative and informative learning. Medical colleges should investigate the multifaceted potential of the students and provide transformative learning to grow students into change agents. For this to take place, curriculum redesign-not new methods of medical education-is required.

세시풍속과 연계된 유아경제교육 프로그램 모형 개발 (Development of an Economic Education Program Model for Young Children Related to Korean Seasonal Customs)

  • 이숙재;이봉선
    • 대한가정학회지
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    • 제47권3호
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    • pp.67-77
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    • 2009
  • This study developed a model economic education program for young children related to Korean seasonal customs. The model was developed via literature reviews and survey research concerning teachers’' recognition of ‘'early childhood economic education’', consultations with professionals in the field, and testing and modifying the program. The goals of the model program were: teaching children to understand basic economic concepts, helping children to develop an economic attitude that emphasizes interdependence, and acknowledging the importance of eco-friendly economic values. The model includes three educational areas and 21 content areas including understanding the concept of exchange, sharing and cooperation, and circulation with nature. This study also developed 37 early childhood economic education activities using the teaching and learning methods of experiencing nature, virtual experience, real life experience, and traditional games experience.

한반도 고수온 예측 시스템의 수온 과소모의 보정을 위한 LSTM 모델 구축 및 예측성 평가 (Development and Assessment of LSTM Model for Correcting Underestimation of Water Temperature in Korean Marine Heatwave Prediction System)

  • 임나경;진현근;박균도;박영규;김경옥;최용한;김영호
    • 한국해양학회지:바다
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    • 제29권2호
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    • pp.101-115
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    • 2024
  • 해양의 고수온 현상은 지구온난화로 인한 주요 문제 중 하나로, 식량 자원의 감소와 해양 탄소 흡수력의 저하 등, 해양 생태계와 인류에게 직접적인 위협으로 부상하고 있다. 따라서, 한반도 주변 해역에서의 고수온 예측은 해양 환경 모니터링 및 관리에 중요하다. 본 연구에서는 역학 모델 기반 한반도 고수온 예측 시스템의 성긴 해양의 수직격자체계로 인한 고수온 예측의 과소모의를 개선하기 위해 LSTM 모델을 개발하였다. 2023년에 대해 수행된 한반도 고수온 예측 시스템의 고수온 예측 결과와 LSTM 모델의 결과를 기반으로 한반도 주변의 동해 해역, 황해 해역 그리고 남해 해역에서의 고수온 예측 성능을 평가했다. 본 연구에서 개발된 LSTM 모델이 세 영역 모두에서 수온이 상승하는 시기에 수온 예측 성능을 크게 개선하는 것으로 나타났으며, 수온 상승이 시작되기 전이나 하강하는 시기에는 예측 성능의 개선 효과가 미미했다. 이는 LSTM 모델이 성층이 강화되는 환경에서 성긴 수직격자로 인해 발생하는 고수온 예측의 과소모의를 개선할 수 있는 가능성을 보여준다. 향후 역학 모델의 예측 성능 개선이나 역학 모델의 대체에 자료기반 인공지능 모델의 활용성이 확대될 것으로 기대한다.

A Study on the Development of a Program to Body Circulation Measurement Using the Machine Learning and Depth Camera

  • Choi, Dong-Gyu;Jang, Jong-Wook
    • International Journal of Internet, Broadcasting and Communication
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    • 제12권1호
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    • pp.122-129
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    • 2020
  • The circumference of the body is not only an indicator in order to buy clothes in our life but an important factor which can increase the effectiveness healing properly after figuring out the shape of body in a hospital. There are several measurement tools and methods so as to know this, however, it spends a lot of time because of the method measured by hand for accurate identification, compared to the modern advanced societies. Also, the current equipments for automatic body scanning are not easy to use due to their big volume or high price generally. In this papers, OpenPose model which is a deep learning-based Skeleton Tracking is used in order to solve the problems previous methods have and for ease of application. It was researched to find joints and an approximation by applying the data of the deep camera via reference data of the measurement parts provided by the hospitals and to develop a program which is able to measure the circumference of the body lighter and easier by utilizing the elliptical circumference formula.

건축적 랜드스케이프 디자인 방법 중 곡면바닥구성에 관한 연구 - 요코하마 터미널 및 롤렉스 러닝 센터를 중심으로 - (A Study on Undulated Planes of Architectural Landscape Methodology - Focusing on Yokohama International Ferry Terminal and Rolex Learning Center -)

  • 남수현
    • 대한건축학회논문집:계획계
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    • 제34권5호
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    • pp.129-138
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    • 2018
  • The purpose of this study is to analyze and evaluate the significance of undulated planes of architectural landscape methodology, to assess if the methodology had potential to be a sustainable architectural model, to be experimented in future. To achieve this purpose, the historical origins and changes of the landscape is discussed to analyse how it influenced modern architecture. Then the effects of panoramic sensibility derived from the picturesque garden is analysed to evaluate the influence it had on the change of the perception of space and modern architecture and landscape design strategy. Then 1980s and 1990s' symposiums and landscape theories are examined. To find pivotal moment of merging landscape and architecture, the design schemes of Bernard Tchumi and OMA for La Villette competition are selected as manifestations to show co-existence of landscape and architecture. Afterwards Yokohama ferry terminal is analyzed to present the undulated planes deployed for the union of landscape and architecture, to the affect of uninterrupted spatial connectivity. The impact of undulated plane on interior is explored in analysis of Rolex Learning Center, consequently changing the relationship within functions of the interior and the role of circulation. Finally, the spatial characteristics and significance of undulated plane is explored. The spatial characteristics are, the relationship beyond the visual connection through seamless connection; the multiple access paths and discard of transition space thereby diminishing boundaries; the environmentalization of architecture by spatializing circulation and promoting in-hierarchy. The significance of undulated planes are, the synthesis form of architectural typology; the cultivation of public sense; the closest spatial type to the space of appearance referred to by Hannah Arendt.