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Author: David M. Johnson
Publisher:
ISBN:
Category : Synthetic training devices
Languages : en
Pages : 86
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Book Description
"Soldiers explored a synthetic representation of an Army heliport under three visual display conditions: (1) wide field of view (FOV) helmet mounted display, (2) narrow FOV helmet mounted display, and (3) stationary, wide screen display. Pretest and posttest measures of spatial knowledge were recorded. Measures of presence in the virtual environment were recorded. Measures of simulator sickness were administered upon exit from the virtual environment and 24 hours later. Overall, soldiers acquired a significant amount of spatial knowledge from the synthetic representation. When transferred to the actual Army heliport, soldiers were able to navigate around the location with near zero errors. There was no effect of visual display on any measures of spatial knowledge. Also, there was no effect of visual display on reported presence or simulator sickness. Simulator sickness was significantly reduced after 24 hours away from the virtual environment. Presence did not correlate with spatial knowledge. Simulator sickness correlated negatively with spatial knowledge. Presence and simulator sickness were negatively correlated."--DTIC.
Author: David M. Johnson
Publisher:
ISBN:
Category : Synthetic training devices
Languages : en
Pages : 86
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Book Description
"Soldiers explored a synthetic representation of an Army heliport under three visual display conditions: (1) wide field of view (FOV) helmet mounted display, (2) narrow FOV helmet mounted display, and (3) stationary, wide screen display. Pretest and posttest measures of spatial knowledge were recorded. Measures of presence in the virtual environment were recorded. Measures of simulator sickness were administered upon exit from the virtual environment and 24 hours later. Overall, soldiers acquired a significant amount of spatial knowledge from the synthetic representation. When transferred to the actual Army heliport, soldiers were able to navigate around the location with near zero errors. There was no effect of visual display on any measures of spatial knowledge. Also, there was no effect of visual display on reported presence or simulator sickness. Simulator sickness was significantly reduced after 24 hours away from the virtual environment. Presence did not correlate with spatial knowledge. Simulator sickness correlated negatively with spatial knowledge. Presence and simulator sickness were negatively correlated."--DTIC.
Author: Sergey I. Nikolenko
Publisher: Springer Nature
ISBN: 3030751783
Category : Computers
Languages : en
Pages : 348
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Book Description
This is the first book on synthetic data for deep learning, and its breadth of coverage may render this book as the default reference on synthetic data for years to come. The book can also serve as an introduction to several other important subfields of machine learning that are seldom touched upon in other books. Machine learning as a discipline would not be possible without the inner workings of optimization at hand. The book includes the necessary sinews of optimization though the crux of the discussion centers on the increasingly popular tool for training deep learning models, namely synthetic data. It is expected that the field of synthetic data will undergo exponential growth in the near future. This book serves as a comprehensive survey of the field. In the simplest case, synthetic data refers to computer-generated graphics used to train computer vision models. There are many more facets of synthetic data to consider. In the section on basic computer vision, the book discusses fundamental computer vision problems, both low-level (e.g., optical flow estimation) and high-level (e.g., object detection and semantic segmentation), synthetic environments and datasets for outdoor and urban scenes (autonomous driving), indoor scenes (indoor navigation), aerial navigation, and simulation environments for robotics. Additionally, it touches upon applications of synthetic data outside computer vision (in neural programming, bioinformatics, NLP, and more). It also surveys the work on improving synthetic data development and alternative ways to produce it such as GANs. The book introduces and reviews several different approaches to synthetic data in various domains of machine learning, most notably the following fields: domain adaptation for making synthetic data more realistic and/or adapting the models to be trained on synthetic data and differential privacy for generating synthetic data with privacy guarantees. This discussion is accompanied by an introduction into generative adversarial networks (GAN) and an introduction to differential privacy.
Author: Paris Buttfield-Addison
Publisher: "O'Reilly Media, Inc."
ISBN: 1492089893
Category : Computers
Languages : en
Pages : 334
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Book Description
Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial data using simulations to train traditional machine learning models.That’s just the beginning. With this practical book, you’ll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential. You'll learn how to: Design an approach for solving ML and AI problems using simulations with the Unity engine Use a game engine to synthesize images for use as training data Create simulation environments designed for training deep reinforcement learning and imitation learning models Use and apply efficient general-purpose algorithms for simulation-based ML, such as proximal policy optimization Train a variety of ML models using different approaches Enable ML tools to work with industry-standard game development tools, using PyTorch, and the Unity ML-Agents and Perception Toolkits
Author: G. Riva
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 352
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Book Description
An enhanced sense of presence plays an important role in technologies such as the video telephone, high definition television (HDTV), 3G portable phones, home and arcade video games, the World Wide Web, and more. The book examines the different facets of the concept of presence. It begins by noting practical and theoretical reasons for studying this concept.
Author:
Publisher:
ISBN:
Category : Military research
Languages : en
Pages : 294
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Book Description
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1609601963
Category : Games & Activities
Languages : en
Pages : 2084
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Book Description
"This book set unites fundamental research on the history, current directions, and implications of gaming at individual and organizational levels, exploring all facets of game design and application and describing how this emerging discipline informs and is informed by society and culture"--Provided by publisher.
Author: Dominic J. Diston
Publisher: AIAA Education
ISBN: 9781600867040
Category : Technology & Engineering
Languages : en
Pages : 0
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Book Description
This book provides a comprehensive guide to the derivation of computational models for aerospace operations from basic physical and mathematical principles. Highly relevant to practioners, it takes into account the multidisciplinary nature of the aerospace environment and the integrated nature of the models needed to represent it.
Author: Andrea A. diSessa
Publisher: Routledge
ISBN: 1317632958
Category : Education
Languages : en
Pages : 615
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Book Description
Decades of research in the cognitive and learning sciences have led to a growing recognition of the incredibly multi-faceted nature of human knowing and learning. Up to now, this multifaceted nature has been visible mostly in distinct and often competing communities of researchers. From a purely scientific perspective, "siloed" science—where different traditions refuse to speak with one another, or merely ignore one another—is unacceptable. This ambitious volume attempts to kick-start a serious, new line of work that merges, or properly articulates, different traditions with their divergent historical, theoretical, and methodological commitments that, nonetheless, both focus on the highly detailed analysis of processes of knowing and learning as they unfold in interactional contexts in real time. Knowledge and Interaction puts two traditions in dialogue with one another: Knowledge Analysis (KA), which draws on intellectual roots in developmental psychology and cognitive modeling and focuses on the nature and form of individual knowledge systems, and Interaction Analysis (IA), which has been prominent in approaches that seek to understand and explain learning as a sequence of real-time moves by individuals as they interact with interlocutors, learning environments, and the world around them. The volume’s four-part organization opens up space for both substantive contributions on areas of conceptual and empirical work as well as opportunities for reflection, integration, and coordination.
Author: Kenneth W. Kisiel
Publisher: CRC Press
ISBN: 1134783329
Category : Computers
Languages : en
Pages : 484
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Book Description
Virtual environments (VE) are human-computer interfaces in which the computer creates a sensory-immersing environment that interactively responds to and is controlled by the behaviour of the user. Since these technologies will continue to become more reliable, more resolute and more affordable, it's important to consider the advantages that VEs may offer to support business processes. The term 'synthetic world' refers to a subset of VEs, having a large virtual landscape and a set of rules that govern the interactions among participants. Currently, the primary motivators for participation in these synthetic worlds appear to be fun and novelty. As the novelty wears off, synthetic worlds will need to demonstrate a favourable value proposition if they are to survive. In particular, non-game-oriented worlds will need to facilitate business processes to a degree that exceeds their substantial costs for development and maintenance. Working Through Synthetic Worlds explores a variety of different tasks that might benefit by being performed within a synthetic world. The editors use a distinctive format for the book, consisting of a set of chapters composed of three parts: ¢ a story or vignette that describes work conducted within a synthetic world based loosely on the question, 'what will work be like in the year 2025?', founded on the expert authors' expectations of plausible future technologies ¢ a scholarly review of the technologies described by the stories and the current theories related to those technologies ¢ a prescription for future research required to bridge the current state-of-the-art with the notional worlds described in the stories. The book will appeal to undergraduate and graduate students, professors, scientists and engineers, managers in high-tech industries and software developers.
Author: Kalervo N. Gulson
Publisher: U of Minnesota Press
ISBN: 1452964726
Category : Education
Languages : en
Pages : 196
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Book Description
A critique of what lies behind the use of data in contemporary education policy While the science fiction tales of artificial intelligence eclipsing humanity are still very much fantasies, in Algorithms of Education the authors tell real stories of how algorithms and machines are transforming education governance, providing a fascinating discussion and critique of data and its role in education policy. Algorithms of Education explores how, for policy makers, today’s ever-growing amount of data creates the illusion of greater control over the educational futures of students and the work of school leaders and teachers. In fact, the increased datafication of education, the authors argue, offers less and less control, as algorithms and artificial intelligence further abstract the educational experience and distance policy makers from teaching and learning. Focusing on the changing conditions for education policy and governance, Algorithms of Education proposes that schools and governments are increasingly turning to “synthetic governance”—a governance where what is human and machine becomes less clear—as a strategy for optimizing education. Exploring case studies of data infrastructures, facial recognition, and the growing use of data science in education, Algorithms of Education draws on a wide variety of fields—from critical theory and media studies to science and technology studies and education policy studies—mapping the political and methodological directions for engaging with datafication and artificial intelligence in education governance. According to the authors, we must go beyond the debates that separate humans and machines in order to develop new strategies for, and a new politics of, education.
