Review of Implementation of Augmented Reality Into the Georeferenced Analogue and Digital Maps and Images †
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Opinion 13/2011 on Geolocation Services on Smart Mobile Devices
ARTICLE 29 Data Protection Working Party 881/11/EN WP 185 Opinion 13/2011 on Geolocation services on smart mobile devices Adopted on 16 May 2011 This Working Party was set up under Article 29 of Directive 95/46/EC. It is an independent European advisory body on data protection and privacy. Its tasks are described in Article 30 of Directive 95/46/EC and Article 15 of Directive 2002/58/EC. The secretariat is provided by Directorate C (Fundamental Rights and Union Citizenship) of the European Commission, Directorate General Justice, B-1049 Brussels, Belgium, Office No MO59 02/013. Website: http://ec.europa.eu/justice/data-protection/index_en.htm CONTENTS 1. Introduction................................................................................................................3 2. Context: different geolocation infrastructures ...........................................................4 2.1 Base station data ..............................................................................................4 2.2 GPS technology ...............................................................................................4 2.3 WiFi .................................................................................................................5 3. Privacy risks...............................................................................................................7 4. Legal Framework.......................................................................................................7 4.1 Base station data processed by telecom operators -
Neuron C Reference Guide Iii • Introduction to the LONWORKS Platform (078-0391-01A)
Neuron C Provides reference info for writing programs using the Reference Guide Neuron C programming language. 078-0140-01G Echelon, LONWORKS, LONMARK, NodeBuilder, LonTalk, Neuron, 3120, 3150, ShortStack, LonMaker, and the Echelon logo are trademarks of Echelon Corporation that may be registered in the United States and other countries. Other brand and product names are trademarks or registered trademarks of their respective holders. Neuron Chips and other OEM Products were not designed for use in equipment or systems, which involve danger to human health or safety, or a risk of property damage and Echelon assumes no responsibility or liability for use of the Neuron Chips in such applications. Parts manufactured by vendors other than Echelon and referenced in this document have been described for illustrative purposes only, and may not have been tested by Echelon. It is the responsibility of the customer to determine the suitability of these parts for each application. ECHELON MAKES AND YOU RECEIVE NO WARRANTIES OR CONDITIONS, EXPRESS, IMPLIED, STATUTORY OR IN ANY COMMUNICATION WITH YOU, AND ECHELON SPECIFICALLY DISCLAIMS ANY IMPLIED WARRANTY OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of Echelon Corporation. Printed in the United States of America. Copyright © 2006, 2014 Echelon Corporation. Echelon Corporation www.echelon.com Welcome This manual describes the Neuron® C Version 2.3 programming language. It is a companion piece to the Neuron C Programmer's Guide. -
Navigation Techniques in Augmented and Mixed Reality: Crossing the Virtuality Continuum
Chapter 20 NAVIGATION TECHNIQUES IN AUGMENTED AND MIXED REALITY: CROSSING THE VIRTUALITY CONTINUUM Raphael Grasset 1,2, Alessandro Mulloni 2, Mark Billinghurst 1 and Dieter Schmalstieg 2 1 HIT Lab NZ University of Canterbury, New Zealand 2 Institute for Computer Graphics and Vision Graz University of Technology, Austria 1. Introduction Exploring and surveying the world has been an important goal of humankind for thousands of years. Entering the 21st century, the Earth has almost been fully digitally mapped. Widespread deployment of GIS (Geographic Information Systems) technology and a tremendous increase of both satellite and street-level mapping over the last decade enables the public to view large portions of the 1 2 world using computer applications such as Bing Maps or Google Earth . Mobile context-aware applications further enhance the exploration of spatial information, as users have now access to it while on the move. These applications can present a view of the spatial information that is personalised to the user’s current context (context-aware), such as their physical location and personal interests. For example, a person visiting an unknown city can open a map application on her smartphone to instantly obtain a view of the surrounding points of interest. Augmented Reality (AR) is one increasingly popular technology that supports the exploration of spatial information. AR merges virtual and real spaces and offers new tools for exploring and navigating through space [1]. AR navigation aims to enhance navigation in the real world or to provide techniques for viewpoint control for other tasks within an AR system. AR navigation can be naively thought to have a high degree of similarity with real world navigation. -
Broadcasting Gps Integrity Information Using Loran-C
BROADCASTING GPS INTEGRITY INFORMATION USING LORAN-C A DISSERTATION SUBMITTED TO THE DEPARTMENT OF AERONAUTICS AND ASTRONAUTICS AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY Sherman Chih Lo July 2002 Ó Copyright 2002 Sherman C. Lo, All Rights Reserved ii I certify that I have read this thesis and that in my opinion it is fully adequate, in scope and in quality as a dissertation for the degree of Doctor of Philosophy. _______________________________________ Professor Per K. Enge (Principal Advisor) I certify that I have read this thesis and that in my opinion it is fully adequate, in scope and in quality as a dissertation for the degree of Doctor of Philosophy. _______________________________________ Professor Stephen M. Rock I certify that I have read this thesis and that in my opinion it is fully adequate, in scope and in quality as a dissertation for the degree of Doctor of Philosophy. _______________________________________ Dr. Todd F. Walter Approved for the University Committee on Graduate Studies: _______________________________________ iii ABSTRACT The United States Federal Aviation Administration (FAA) will adopt the Global Positioning System (GPS) as its primary navigation systems for aviation as stated by the Federal Radionavigation Plans (FRP) of 1996 and 1999. The FRP also proposes the reduction or termination of some existing radionavigation system in favor of GPS and satellite navigation. It may be beneficial to retain some of these existing terrestrial navigation systems if they can provide increased safety and redundancy to the GPS based architecture. One manner in which this can be done is by using or creating a data link on these existing radionavigation systems. -
Parallel Range, Segment and Rectangle Queries with Augmented Maps
Parallel Range, Segment and Rectangle Queries with Augmented Maps Yihan Sun Guy E. Blelloch Carnegie Mellon University Carnegie Mellon University [email protected] [email protected] Abstract The range, segment and rectangle query problems are fundamental problems in computational geometry, and have extensive applications in many domains. Despite the significant theoretical work on these problems, efficient implementations can be complicated. We know of very few practical implementations of the algorithms in parallel, and most implementations do not have tight theoretical bounds. In this paper, we focus on simple and efficient parallel algorithms and implementations for range, segment and rectangle queries, which have tight worst-case bound in theory and good parallel performance in practice. We propose to use a simple framework (the augmented map) to model the problem. Based on the augmented map interface, we develop both multi-level tree structures and sweepline algorithms supporting range, segment and rectangle queries in two dimensions. For the sweepline algorithms, we also propose a parallel paradigm and show corresponding cost bounds. All of our data structures are work-efficient to build in theory (O(n log n) sequential work) and achieve a low parallel depth (polylogarithmic for the multi-level tree structures, and O(n) for sweepline algorithms). The query time is almost linear to the output size. We have implemented all the data structures described in the paper using a parallel augmented map library. Based on the library each data structure only requires about 100 lines of C++ code. We test their performance on large data sets (up to 108 elements) and a machine with 72-cores (144 hyperthreads). -
Handwritten Digit Classication Using 8-Bit Floating Point Based Convolutional Neural Networks
Downloaded from orbit.dtu.dk on: Apr 10, 2018 Handwritten Digit Classication using 8-bit Floating Point based Convolutional Neural Networks Gallus, Michal; Nannarelli, Alberto Publication date: 2018 Document Version Publisher's PDF, also known as Version of record Link back to DTU Orbit Citation (APA): Gallus, M., & Nannarelli, A. (2018). Handwritten Digit Classication using 8-bit Floating Point based Convolutional Neural Networks. DTU Compute. (DTU Compute Technical Report-2018, Vol. 01). General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Handwritten Digit Classification using 8-bit Floating Point based Convolutional Neural Networks Michal Gallus and Alberto Nannarelli (supervisor) Danmarks Tekniske Universitet Lyngby, Denmark [email protected] Abstract—Training of deep neural networks is often con- In order to address this problem, this paper proposes usage strained by the available memory and computational power. of 8-bit floating point instead of single precision floating point This often causes it to run for weeks even when the underlying which allows to save 75% space for all trainable parameters, platform is employed with multiple GPUs. -
Exploiting High Geopositioning Accuracy of SAR Data to Obtain Accurate Geometric Orientation of Optical Satellite Images
remote sensing Article Exploiting High Geopositioning Accuracy of SAR Data to Obtain Accurate Geometric Orientation of Optical Satellite Images Zhongli Fan 1 , Li Zhang 1, Yuxuan Liu 1 , Qingdong Wang 1,* and Sisi Zlatanova 2 1 Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping (CASM), Beijing 100036, China; [email protected] (Z.F.); [email protected] (L.Z.); [email protected] (Y.L.) 2 Department of Built Environment, University of New South Wales (UNSW), Sydney 2052, Australia; [email protected] * Correspondence: [email protected] Abstract: Accurate geopositioning of optical satellite imagery is a fundamental step for many photogrammetric applications. Considering the imaging principle and data processing manner, SAR satellites can achieve high geopositioning accuracy. Therefore, SAR data can be a reliable source for providing control information in the orientation of optical satellite images. This paper proposes a practical solution for an accurate orientation of optical satellite images using SAR reference images to take advantage of the merits of SAR data. Firstly, we propose an accurate and robust multimodal image matching method to match the SAR and optical satellite images. This approach includes the development of a new structural-based multimodal applicable feature descriptor that employs angle-weighted oriented gradients (AWOGs) and the utilization of a three-dimensional Citation: Fan, Z.; Zhang, L.; Liu, Y.; phase correlation similarity measure. Secondly, we put forward a general optical satellite imagery Wang, Q.; Zlatanova, S. Exploiting orientation framework based on multiple SAR reference images, which uses the matches of the High Geopositioning Accuracy of SAR and optical satellite images as virtual control points. -
High Dynamic Range Video
High Dynamic Range Video Karol Myszkowski, Rafał Mantiuk, Grzegorz Krawczyk Contents 1 Introduction 5 1.1 Low vs. High Dynamic Range Imaging . 5 1.2 Device- and Scene-referred Image Representations . ...... 7 1.3 HDRRevolution ............................ 9 1.4 OrganizationoftheBook . 10 1.4.1 WhyHDRVideo? ....................... 11 1.4.2 ChapterOverview ....................... 12 2 Representation of an HDR Image 13 2.1 Light................................... 13 2.2 Color .................................. 15 2.3 DynamicRange............................. 18 3 HDR Image and Video Acquisition 21 3.1 Capture Techniques Capable of HDR . 21 3.1.1 Temporal Exposure Change . 22 3.1.2 Spatial Exposure Change . 23 3.1.3 MultipleSensorswithBeamSplitters . 24 3.1.4 SolidStateSensors . 24 3.2 Photometric Calibration of HDR Cameras . 25 3.2.1 Camera Response to Light . 25 3.2.2 Mathematical Framework for Response Estimation . 26 3.2.3 Procedure for Photometric Calibration . 29 3.2.4 Example Calibration of HDR Video Cameras . 30 3.2.5 Quality of Luminance Measurement . 33 3.2.6 Alternative Response Estimation Methods . 33 3.2.7 Discussion ........................... 34 4 HDR Image Quality 39 4.1 VisualMetricClassification. 39 4.2 A Visual Difference Predictor for HDR Images . 41 4.2.1 Implementation......................... 43 5 HDR Image, Video and Texture Compression 45 1 2 CONTENTS 5.1 HDR Pixel Formats and Color Spaces . 46 5.1.1 Minifloat: 16-bit Floating Point Numbers . 47 5.1.2 RGBE: Common Exponent . 47 5.1.3 LogLuv: Logarithmic encoding . 48 5.1.4 RGB Scale: low-complexity RGBE coding . 49 5.1.5 LogYuv: low-complexity LogLuv . 50 5.1.6 JND steps: Perceptually uniform encoding . -
Supporting Technology for Augmented Reality Game-Based Learning
DOCTORAL THESIS Supporting Technology for Augmented Reality Game-Based Learning Hendrys Fabián Tobar Muñoz 2017 Doctorate in Technology Supervised by: PhD. Ramon Fabregat PhD. Silvia Baldiris Presented in partial fulfillment of the requirements for a doctoral degree from the University of Girona The research reported in this thesis was partially sponsored by: The financial support by COLCIENCIAS – Colombia’s Administrative Department of Science Technology and Innovation within the program of doctoral scholarships. The research reported in this thesis was carried out as part of the following projects: ARreLS project, funded by Spanish Economy and Competitiveness Ministry(TIN2011-23930) Open Co-Creation Project, funded by the Spanish Economy and Competitiveness Ministry (TIN2014-53082-R) The research reports in this thesis was developed within the research lines of the Communications and Distributed Systems research group (BCDS, ref GRCT40) which is part of the DURSI consolidated research group COMUNICACIONS I SISTEMES INTEL·LIGENTS. © Hendrys Fabián Tobar Muñoz, Girona, Catalonia, Spain, 2017 All Rights Reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without written permission granted by the author. Gracias a Dios Todopoderoso y a Su Divina Providencia. Este trabajo está dedicado a mi Reina Omaira que es lo más hermoso de este mundo. ______________________________________________________________________________________________________________________ Thanks to God Almighty and His Divine Providence. This work is dedicated to my Queen Omaira who is the most beautiful of this world (I swear, this sounds better in Spanish) ACKNOWLEDGEMENTS I have always liked games and digital technologies and I have always believed in their educational potential. -
On the Automated Derivation of Domain-Specific UML Profiles
Schriften aus der Fakultät Wirtschaftsinformatik und 37 Angewandte Informatik der Otto-Friedrich-Universität Bamberg On the Automated Derivation of Domain-Specifc UML Profles Alexander Kraas 37 Schriften aus der Fakultät Wirtschaftsinformatik und Angewandte Informatik der Otto-Friedrich- Universität Bamberg Contributions of the Faculty Information Systems and Applied Computer Sciences of the Otto-Friedrich-University Bamberg Schriften aus der Fakultät Wirtschaftsinformatik und Angewandte Informatik der Otto-Friedrich- Universität Bamberg Contributions of the Faculty Information Systems and Applied Computer Sciences of the Otto-Friedrich-University Bamberg Band 37 2019 On the Automated Derivation of Domain-Specifc UML Profles Alexander Kraas 2019 Bibliographische Information der Deutschen Nationalbibliothek Die Deutsche Nationalbibliothek verzeichnet diese Publikation in der Deutschen Nationalbibliographie; detaillierte bibliographische Informationen sind im Internet über http://dnb.d-nb.de/ abrufbar. Diese Arbeit hat der Fakultät Wirtschaftsinformatik und Angewandte Informatik der Otto-Friedrich-Universität Bamberg als Dissertation vorgelegen. 1. Gutachter: Prof. Dr. Gerald Lüttgen, Otto-Friedrich-University Bamberg, Germany 2. Gutachter: Prof. Dr. Richard Paige, McMaster University, Canada Tag der mündlichen Prüfung: 13.05.2019 Dieses Werk ist als freie Onlineversion über den Publikationsserver (OPUS; http://www. opus-bayern.de/uni-bamberg/) der Universität Bamberg erreichbar. Das Werk – ausge- nommen Cover, Zitate und Abbildungen – -
PAM: Parallel Augmented Maps
PAM: Parallel Augmented Maps Yihan Sun Daniel Ferizovic Guy E. Belloch Carnegie Mellon University Karlsruhe Institute of Technology Carnegie Mellon University [email protected] [email protected] [email protected] Abstract 1 Introduction Ordered (key-value) maps are an important and widely-used The map data type (also called key-value store, dictionary, data type for large-scale data processing frameworks. Beyond table, or associative array) is one of the most important da- simple search, insertion and deletion, more advanced oper- ta types in modern large-scale data analysis, as is indicated ations such as range extraction, filtering, and bulk updates by systems such as F1 [60], Flurry [5], RocksDB [57], Or- form a critical part of these frameworks. acle NoSQL [50], LevelDB [41]. As such, there has been We describe an interface for ordered maps that is augment- significant interest in developing high-performance paral- ed to support fast range queries and sums, and introduce a lel and concurrent algorithms and implementations of maps parallel and concurrent library called PAM (Parallel Augment- (e.g., see Section 2). Beyond simple insertion, deletion, and ed Maps) that implements the interface. The interface includes search, this work has considered “bulk” functions over or- a wide variety of functions on augmented maps ranging from dered maps, such as unions [11, 20, 33], bulk-insertion and basic insertion and deletion to more interesting functions such bulk-deletion [6, 24, 26], and range extraction [7, 14, 55]. as union, intersection, filtering, extracting ranges, splitting, One particularly useful function is to take a “sum” over a and range-sums. -
Distributed Cognitions GENERAL EDITORS: ROY PEA Psychological and Educational JOHN SEELY BROWN Considerations
Learning in doing: Social, cognitive, and computational perspectives Distributed cognitions GENERAL EDITORS: ROY PEA Psychological and educational JOHN SEELY BROWN considerations The construction zone: Working for cognitive change in school Denis Newman, Peg Grrfin, and Michael Cole Plans and situated actions: The problem of human-machine Edited by interaction Lucy Suchman GAVRIEL SALOMON Situated learning: Legitimate peripheral participation University of Ha$, Israel Jean Lave and Etienne Wenger Street mathematics and school mathematics Terezinha Nunes, Anahria Dim Schliemann, and David William Carraher Understanding practice: Perspectives on activity and context Seth Chaiklin andJean Lave (editors) I943 CAMBRIDGE UNIVERSITY PRESS Published by the Press Syndicate of the University of Cambridge The Pin Building, Trumpington Street, Cambridge CB2 1RI' 40 West 20th Street, New York, NY 10011-4211, USA Contents 10 Stamford Road, Oakleigh, Melbourne 3166, Australia 0 Cambridge Universify Press 1993 First phlished 1993 Printed in the United States of America Library of Conqcsr Catalo@n~-in-PublicdionData Disaibuted cognitions : psychological and educational considerations I / edited by Gavriel Salomon. List of contribufon page vii I p. cm. - (Learning in doing) Includes index. Series foreword ix ISBN 0-521-41406-7 (hard) xi 1. Cognition and culture. 2. Knowledge, Sociology of. 3. Cognition - Social aspects. 4. Learning. Psychology of - Social aswcts. I. Salomon. Gavriel. 11. Series. 1 A cultural-historical approach to distributed 92-41220 cognition CIP MICHAEL COLE AND YRJO ENGESTR~M A catalog record for this book is available from the British Library. 2 Practices of distributed intelligence and designs for education ISBN 0-521-41406-7 hardback ROY D. PEA 3 Person-plus: a distributed view of thinking and learning D.