How Can We Predict Patterns Of Motion
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Author | : National Research Council |
Publisher | : National Academies Press |
Total Pages | : 400 |
Release | : 2012-02-28 |
Genre | : Education |
ISBN | : 0309214459 |
Science, engineering, and technology permeate nearly every facet of modern life and hold the key to solving many of humanity's most pressing current and future challenges. The United States' position in the global economy is declining, in part because U.S. workers lack fundamental knowledge in these fields. To address the critical issues of U.S. competitiveness and to better prepare the workforce, A Framework for K-12 Science Education proposes a new approach to K-12 science education that will capture students' interest and provide them with the necessary foundational knowledge in the field. A Framework for K-12 Science Education outlines a broad set of expectations for students in science and engineering in grades K-12. These expectations will inform the development of new standards for K-12 science education and, subsequently, revisions to curriculum, instruction, assessment, and professional development for educators. This book identifies three dimensions that convey the core ideas and practices around which science and engineering education in these grades should be built. These three dimensions are: crosscutting concepts that unify the study of science through their common application across science and engineering; scientific and engineering practices; and disciplinary core ideas in the physical sciences, life sciences, and earth and space sciences and for engineering, technology, and the applications of science. The overarching goal is for all high school graduates to have sufficient knowledge of science and engineering to engage in public discussions on science-related issues, be careful consumers of scientific and technical information, and enter the careers of their choice. A Framework for K-12 Science Education is the first step in a process that can inform state-level decisions and achieve a research-grounded basis for improving science instruction and learning across the country. The book will guide standards developers, teachers, curriculum designers, assessment developers, state and district science administrators, and educators who teach science in informal environments.
Author | : Andre Gruning |
Publisher | : Frontiers Media SA |
Total Pages | : 171 |
Release | : 2023-04-11 |
Genre | : Science |
ISBN | : 2889763692 |
Author | : Margaret Euphrasia Sereno |
Publisher | : MIT Press |
Total Pages | : 196 |
Release | : 1993 |
Genre | : Medical |
ISBN | : 9780262193290 |
This book describes a neurally based model, implemented as a connectionist network, of how the aperture problem is solved.
Author | : Geoff Waring |
Publisher | : National Geographic Books |
Total Pages | : 0 |
Release | : 2009-09-22 |
Genre | : Juvenile Nonfiction |
ISBN | : 0763645125 |
A Start with Science book about moving and rolling. One day Oscar sees a ball in the grass. "Try pushing it!" says Cricket. Oscar learns that the ball rolls slowly in grass and faster on a path, until it bounces off a tree and changes direction. Some things need a push to move, and others use their muscles to move themselves — and to move plenty of other things, too. Back matter includes an index and supplemental activities.
Author | : Qingshan Liu |
Publisher | : Springer Nature |
Total Pages | : 534 |
Release | : 2024-01-26 |
Genre | : Computers |
ISBN | : 9819985374 |
The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.
Author | : John Pickle |
Publisher | : |
Total Pages | : 58 |
Release | : 1991 |
Genre | : Cyclone forecasting |
ISBN | : |
Author | : John T. Almarode |
Publisher | : Routledge |
Total Pages | : 241 |
Release | : 2021-04-13 |
Genre | : Education |
ISBN | : 0429516444 |
Focused on engaging all students, Inclusive Teaching in the Early Childhood Science Classroom walks readers through the process of planning, developing, and implementing science instruction for early learners. Drawing on a range of pedagogical processes and approaches, this comprehensive text links science to other disciplines and explores how we develop language, social-emotional, and content learning through early childhood science. Each chapter is framed around an essential question and features success criteria and reflection tasks to guide readers through the content. Aligned with the Next Generation Science Standards and addressing the Interstate New Teacher Assessment and Support Consortium Model Core Teaching Standards, this textbook is critical reading for preservice teacher education students enrolled in an inclusive early childhood or early childhood science methods course.
Author | : Suk Jin Lee |
Publisher | : Springer |
Total Pages | : 171 |
Release | : 2013-10-25 |
Genre | : Technology & Engineering |
ISBN | : 3642415091 |
This book describes recent radiotherapy technologies including tools for measuring target position during radiotherapy and tracking-based delivery systems. This book presents a customized prediction of respiratory motion with clustering from multiple patient interactions. The proposed method contributes to the improvement of patient treatments by considering breathing pattern for the accurate dose calculation in radiotherapy systems. Real-time tumor-tracking, where the prediction of irregularities becomes relevant, has yet to be clinically established. The statistical quantitative modeling for irregular breathing classification, in which commercial respiration traces are retrospectively categorized into several classes based on breathing pattern are discussed as well. The proposed statistical classification may provide clinical advantages to adjust the dose rate before and during the external beam radiotherapy for minimizing the safety margin. In the first chapter following the Introduction to this book, we review three prediction approaches of respiratory motion: model-based methods, model-free heuristic learning algorithms, and hybrid methods. In the following chapter, we present a phantom study—prediction of human motion with distributed body sensors—using a Polhemus Liberty AC magnetic tracker. Next we describe respiratory motion estimation with hybrid implementation of extended Kalman filter. The given method assigns the recurrent neural network the role of the predictor and the extended Kalman filter the role of the corrector. After that, we present customized prediction of respiratory motion with clustering from multiple patient interactions. For the customized prediction, we construct the clustering based on breathing patterns of multiple patients using the feature selection metrics that are composed of a variety of breathing features. We have evaluated the new algorithm by comparing the prediction overshoot and the tracking estimation value. The experimental results of 448 patients’ breathing patterns validated the proposed irregular breathing classifier in the last chapter.
Author | : Bharath Sriraman |
Publisher | : IAP |
Total Pages | : 312 |
Release | : 2008-09-01 |
Genre | : Education |
ISBN | : 1607528878 |
The book is based on the recently held Symposium on mathematics and its connections to the arts and sciences, namely the second Mathematics and its Connections to the Arts and Sciences (MACAS2)Symposium in Odense, Denmark (May 29-31, 2007). The chapters are an eclectic collection of interdisciplinary research initiatives undertaken by mathematics educators with implications for practitioners concerned with teaching and learning processes. The papers cover a wide genre of research domains within mathematics education (cognition, modelling, problem solving, teacher education, ethnomathematics, mathematical/statistical literacy, curricular and technological initiatives and research related to science education). The major interdisciplinary themes of the papers in this book are: 1. How can modelling activities be used to foster interdisciplinary projects in the school and university setting? 2. How can the intricate connections between mathematics and physics be used to design and research interdisciplinary activities in schools and the university? 3. How can research within the ethnomathematics domain of mathematics education be linked to critical mathematics education and interdisciplinary projects involving mathematics, art and culture? 4. How can the push for mathematical and statistical literacy be connected to other subjects in the school curricula and emphasized via interdisciplinary activities? 5. What are concrete examples of classroom experiments with empirical data that demonstrate new and unusual connections/relations between mathematics, arts and the sciences with implications for pedagogy? 6. What is the role of technology and new ICT interfaces in linking communities of learners in interdisciplinary activities involving problem solving? The book is an important contribution to the literature on educational initiatives in interdisciplinary education increasing vital for emerging professions of the 21st century.
Author | : Byung-Gyu Kim |
Publisher | : Springer |
Total Pages | : 90 |
Release | : 2016-06-21 |
Genre | : Technology & Engineering |
ISBN | : 3319392417 |
This book discusses in detail the basic algorithms of video compression that are widely used in modern video codec. The authors dissect complicated specifications and present material in a way that gets readers quickly up to speed by describing video compression algorithms succinctly, without going to the mathematical details and technical specifications. For accelerated learning, hybrid codec structure, inter- and intra- prediction techniques in MPEG-4, H.264/AVC, and HEVC are discussed together. In addition, the latest research in the fast encoder design for the HEVC and H.264/AVC is also included.