DOCSLIB.ORG

Mind Ergonomy for the Knowledge Economy : Software Neuroergonomics and Biomimetics for the Knowledge Economy

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text

Load more

Mind Ergonomy for the Knowledge Economy : software Neuroergonomics and Biomimetics for the Knowledge Economy. Why? How? What? Idriss Jamil Aberkane To cite this version: Idriss Jamil Aberkane. Mind Ergonomy for the Knowledge Economy : software Neuroergonomics and Biomimetics for the Knowledge Economy. Why? How? What?. Cognitive Sciences. Université Paris Saclay (COmUE), 2016. English. NNT : 2016SACLX005. tel-03130253 HAL Id: tel-03130253 https://pastel.archives-ouvertes.fr/tel-03130253 Submitted on 3 Feb 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. NNT : 2016SACLX005 THÈSE DE DOCTORAT DE L’UNIVERSITÉ PARIS-SACLAY PRÉPARÉE À L’ÉCOLE POLYTECHNIQUE ÉCOLE DOCTORALE N°578 Sciences de l'homme et de la société Spécialité de doctorat : Sciences de Gestion et Epistémologie Appliquée Par Dr Idriss J. ABERKANE Mind Ergonomy for the Knowledge Economy. Software Neuroergonomics and Biomimetics for the Knowledge Economy Why? How? What? Thèse présentée et soutenue à Paris le 3 Février 2016 : Composition du Jury : Président : Prof. Francis Rousseaux Examinateur–IRCAM / URCA Dr. Paul Bourgine - Codirecteur Académique Unesco-Unitwin CSDC – Ecole polytechnique Prof. Pierre-Jean Benghozi - Codirecteur Académique Ecole polytechnique Dr. Samuel Tronçon - Codirecteur Industriel Groupe Résurgences Dr. Inès Safi – Examinateur - CNRS-Université Paris-Saclay Prof. Charles Tijus - Examinateur Université Paris-8 Prof. Yves Burnod – Rapporteur – INSERM Prof. Pierre Collet – Rapporteur – Unesco-Unitwin CSDC – Université de Strasbourg Mind Ergonomy for the Knowledge Economy Software Neuroergonomics and Biomimetics for the Knowledge Economy Why? How? What? Dr. Idriss J. Aberkane Abstract. Could we flow knowledge faster and better? Why is this a problem in the first place? How can we tackle it technologically? What could be a prototype solution? This work unifies these questions in the outline of a single, refutable and improvable paradigm of noodynamics - the study of knowledge flows - and nooconomics, the knowledge economy. This paradigm will answer the question “Why”. Neuroergonomics (“brain ergo- nomics”), and biomimicry, will be summoned in answer to the question “How”. Their con- tribution will follow from the knowledge flow equations proposed in this work. Two origi- nal optimisation problems are also posed in software neuroergonomics and biomimetics: the Mindscape and Serendipity Problem. A case of theoretical neuroergonomics, or neu- roergonomics ex ante is proposed with the study of Hyperwriting, a written grapheme-lo- ceme association, or a glyphic method for externalising spatial memory. Its application to the design of user interface will finally found neuroergonomic design, or neuromimicry, with the example of a collegial interface to augment multiscale knowledge flows: Chréage. The anatomy of this prototype mindscape will be the technological conclusion of this work, and its answer to the question “What”? Keywords : software neuroergonomics - software biomimetics - user interface - knowledge economy - artificial writing - biomimicry - neurotechnologies Thesis presented in partial fulfilment of the degree of Docteur de l’Ecole Polytechnique - Université Paris-Saclay Defended on January ….. 2016 before the following Jury: Prof. Francis Rousseaux - Président Dr. Paul Bourgine - Codirecteur Académique Prof. Pierre-Jean Benghozi - Codirecteur Académique Dr. Samuel Tronçon - Codirecteur Industriel Dr. Inès Safi - Examinateur Prof. Charles Tijus - Examinateur Prof. Yves Burnod - Rapporteur Prof. Pierre Collet - Rapporteur Mind ergonomy for the Knowledge Economy Fig. 0 Da Vinci’s interpretation of the Vitruvian Man. There is something Vitruvian in this research, in that Vitruve at- tempted to fit man-made cities to the human body, and this work attempts to fit man-made mindscapes to the human mind. Excerpt from chapter “tradition and state of the art” section “regarding the question what?” Page 2 Table of Contents Introduction .8 Why is this work different? .12 Tradition and state of the art .24 regarding the question Why? .24 regarding the question How? .28 regarding the question What? .45 Synthesis of the influences and contributions .78 PART 1 : “Why?” .81 1. The Knowledge Economy: Why? How? What? .82 1. Introduction .82 1.1 General outline .82 1.2 For the working classical knowledge economist .83 2. Why practice nooconomics? .85 2.1. Knowledge is infinite .85 2.2 The Curse of raw materials .88 2.3 The dynamic of socio-technological revolutions .93 3. How to practice nooconomics? .96 3.1 Social properties of knowledge .96 3.2 The three principles of noodynamics .97 3.3 The Knowledge Flow Equation .99 4. What does it mean to practice nooconomics? .102 4.1 Knowledge infrastructures - “nooducts” .102 4.2 Disruption and Silicon Valley’s “Love Can Do” .103 4.3 Biomimicry: an application of the knowledge economy . .106 Bibliography .107 2 Discussing nooconomics .109 1. Introduction .109 2. An early model with strengths and weaknesses .110 3. From a neuroscientific point of view .112 4. Conclusion .114 References .115 3. A simple paradigm for noopolitics, the geopolitics of knowledge .117 1. Introduction .117 2. On kinesphere .118 3. On noosphere .119 4. Conclusion .121 Reference .122 4. From waste to kwaste: on the multiscale synergy of the Blue Economy in terms of knowledge flow .124 1. Introduction .124 2. Bio-inspired economics .125 3. Why Blue Economy? .126 4. In terms of knowledge flow .128 5. Conclusion: in terms of stygmergies .130 References .131 5. Botcrafting and botbreeding: a simple economics of evolutionary algorithms .133 1. Introduction .133 2. Knowledge workers .134 3. From Physiocracy to Silicocracy .135 4. Soft markets and soft finance: trading places for algorithms .136 5. Conclusion .138 References .138 -Page 3 Mind ergonomy for the Knowledge Economy Part 2: How? .140 6. Hyperwriting, or multiscale writing with the method of loci .141 1. Introduction .141 2. On the method of loci .142 3. “Curvy A” a prototype hyperwriting .143 4. Conclusion .148 References .149 7. Noome and noomics: towards a genetic of the noosphere .156 1. Introduction .156 2. Outlining noomics .157 3. Expanding noomics .158 4. Conclusion .160 References .161 8. Posing the Mindscape and Serendipity Problems .162 1. Introduction .162 2 “Collections are for Collisions” .163 3. From oligorama to panorama .165 4. The Mindscape and Serendipity Problems .166 5. Conclusion .167 References .168 9. Neuromimicry and Natural User Interfaces: a theory of Merleau-Pontian Universes .170 1. Introduction .170 2. “Dorsal media” and the Babel Problem .171 3. What is a Merleau-Pontian Universe? .172 4. Conclusion .174 References .175 Part 3 “What?” (CONFIDENTIAL until Jan. 1st 2021) .177 10. General Gamification for the Knowledge Economy: “Why? How? What? .178 1. Introduction .178 2. “Why”: the knowledge superhighways .178 3. “How”: a general theory of gamification .180 4. “What”: Outlines for two Game Design Documents .182 4.1. Logos: a game to learn languages in a procedural manner .183 4.2. kFlow, a collegial interface to gamify business development .186 5. Conclusion .193 References .193 11. The anatomy of an ergonomic mindscape: Chréage .195 1. Introduction .195 2. Critical Success factors .196 3. Methods; Hijacking video game technologies .197 4. Back to to Front integration and user scenarii .199 5. Conclusion .200 References .206 12. Epilogue: in search of the right technology .208 1. Introduction .208 2. Trial and Error .209 3. Game engines, Webviews and “frozen accidents” .210 4. Conclusion .211 References .212 13. Material and methods: technical document (for a CEF integration in Shiva 3D) .214 1. Introduction .214 2. Using a Binary Distribution .215 3. Application structure .221 Page 4 4. Posting tasks .240 5. Inter Process Communication .242 6. Network Layer .248 7. Shiva Plugin Presentation .257 8. Conclusion .259 Conclusion .261 Appendix .263 Screenshots from the Chréage WebGL proof of concept .264 Screenshots from the Chréage Mini proof of concept .265 Designs from the Parthenay 2013-2014 Masterclass .267 Early studies for Curvy A and Chréage .276 Complete Bibliography .280 Acknowledgements .298 -Page 5 Mind ergonomy for the Knowledge Economy Thy thought to Thee an Empire be Page 6 Except for the chapters that are explicitly stated as CONFIDENTIAL, all the content of this report inclu- ding the images provided by the author, but excluding those cited in fair use, is released under the CC-3 Creative Commons license. For the Confidential chapters, the author hereby establishes their release date to January 1st 2021 at 12:00 Paris Time. CC3 Dr. Idriss J. Aberkane 2016 -Page 7 Mind ergonomy for the Knowledge Economy Introduction As recently as 1987, AT&T was still projecting that it would take until the year 2010 to convert 95% of its long distance network to digital tech- nology. Then it became pressed by the competition. The result? AT&T made its network virtually 100% digital by the end of 1991. Meanwhile, over the last decade the price of interstate long distance service
Recommended publications
  • In-Depth Evaluation of Redirect Tracking and Link Usage

    In-Depth Evaluation of Redirect Tracking and Link Usage

    Proceedings on Privacy Enhancing Technologies ; 2020 (4):394–413 Martin Koop*, Erik Tews, and Stefan Katzenbeisser In-Depth Evaluation of Redirect Tracking and Link Usage Abstract: In today’s web, information gathering on 1 Introduction users’ online behavior takes a major role. Advertisers use different tracking techniques that invade users’ privacy It is common practice to use different tracking tech- by collecting data on their browsing activities and inter- niques on websites. This covers the web advertisement ests. To preventing this threat, various privacy tools are infrastructure like banners, so-called web beacons1 or available that try to block third-party elements. How- social media buttons to gather data on the users’ on- ever, there exist various tracking techniques that are line behavior as well as privacy sensible information not covered by those tools, such as redirect link track- [52, 69, 73]. Among others, those include information on ing. Here, tracking is hidden in ordinary website links the user’s real name, address, gender, shopping-behavior pointing to further content. By clicking those links, or or location [4, 19]. Connecting this data with informa- by automatic URL redirects, the user is being redirected tion gathered from search queries, mobile devices [17] through a chain of potential tracking servers not visible or content published in online social networks [5, 79] al- to the user. In this scenario, the tracker collects valuable lows revealing further privacy sensitive information [62]. data about the content, topic, or user interests of the This includes personal interests, problems or desires of website. Additionally, the tracker sets not only third- users, political or religious views, as well as the finan- party but also first-party tracking cookies which are far cial status.
  • IBM Cognos Analytics - Reporting Version 11.1

    IBM Cognos Analytics - Reporting Version 11.1

    IBM Cognos Analytics - Reporting Version 11.1 User Guide IBM © Product Information This document applies to IBM Cognos Analytics version 11.1.0 and may also apply to subsequent releases. Copyright Licensed Materials - Property of IBM © Copyright IBM Corp. 2005, 2021. US Government Users Restricted Rights – Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. IBM, the IBM logo and ibm.com are trademarks or registered trademarks of International Business Machines Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the Web at " Copyright and trademark information " at www.ibm.com/legal/copytrade.shtml. The following terms are trademarks or registered trademarks of other companies: • Adobe, the Adobe logo, PostScript, and the PostScript logo are either registered trademarks or trademarks of Adobe Systems Incorporated in the United States, and/or other countries. • Microsoft, Windows, Windows NT, and the Windows logo are trademarks of Microsoft Corporation in the United States, other countries, or both. • Intel, Intel logo, Intel Inside, Intel Inside logo, Intel Centrino, Intel Centrino logo, Celeron, Intel Xeon, Intel SpeedStep, Itanium, and Pentium are trademarks or registered trademarks of Intel Corporation or its subsidiaries in the United States and other countries. • Linux is a registered trademark of Linus Torvalds in the United States, other countries, or both. • UNIX is a registered trademark of The Open Group in the United States and other countries. • Java and all Java-based trademarks and logos are trademarks or registered trademarks of Oracle and/or its affiliates.
  • Neuroimaging Methods for Music Information Retrieval: Current Findings and Future Prospects

    Neuroimaging Methods for Music Information Retrieval: Current Findings and Future Prospects

    NEUROIMAGING METHODS FOR MUSIC INFORMATION RETRIEVAL: CURRENT FINDINGS AND FUTURE PROSPECTS Blair Kaneshiro Jacek P. Dmochowski Center for Computer Research in Music and Acoustics Department of Psychology Stanford University, Stanford, CA, USA Stanford University, Stanford, CA, USA [email protected] [email protected] ABSTRACT best a marginal or incidental role in that literature. The au- thors cite as a main obstacle a fundamental lack of interest, Over the past decade and a half, music information re- or understanding, from the cognitive science/neuroscience trieval (MIR) has grown into a robust, cross-disciplinary community. At the same time, the few brain-based MIR field spanning a variety of research domains. Collabo- studies published to date [16, 40, 52] have emphasized rations between MIR and neuroscience researchers, how- application over background, potentially leaving readers ever, are still rare, and to date only a few studies using lacking sufficient introduction to the imaging technique approaches from one domain have successfully reached and brain response of interest. As things currently stand, an audience in the other. In this paper, we take an initial the fields of MIR and neuroscience operate largely inde- step toward bridging these two fields by reviewing studies pendently, despite sharing approaches and questions that from the music neuroscience literature, with an emphasis might benefit from cross-disciplinary investigation. on imaging modalities and analysis techniques that might In an effort to begin reconciling these two fields, be of practical interest to the MIR community. We show the present authors—whose backgrounds collectively span that certain approaches currently used in a neuroscientific music, neuroscience, and engineering—present a review setting align with those used in MIR research, and discuss of studies drawn from the music neuroscience literature implications for potential areas of future research.
  • Clausner-CV-2018 Without Lang

    Clausner-CV-2018 Without Lang

    CURRICULUM VITAE TIMOTHY C. CLAUSNER University of Maryland, Institute for Advanced Computer Studies (UMIACS) A. V. Williams Building Room 3247 8223 Paint Branch Drive, College Park, Maryland 20742-3255 USA Email: [email protected] EDUCATION 1987-1993 Ph.D., Linguistics, University of Michigan, Ann Arbor. August 1993. Dissertation: Cognitive Structures in Metaphor Comprehension (W. Croft, principal advisor). 1982-1984 M.S., Computer Science, University of Maryland, College Park. May 1984. (S.K. Tripathi, principal advisor) 1976-1980 B.S., Applied Physics, Georgia Institute of Technology. June 1980. PROFESSIONAL EXPERIENCE 2007-present University of Maryland, College Park, Institute for Advanced Computer Studies. Visiting Research Scientist (2016-present). Affiliation: Dept. of Psychology: Cognitive Neuroscience Group. Human Computer Interaction Laboratory (2010-present). Senior Research Scientist/Associate, School of Information Studies Center for Advance Study of Language (2007-2009) 1997-2007 HRL Laboratories, Information and System Sciences Lab, Malibu, California. Senior Research Scientist (2001-2007). Human-Centered Systems Department Research Scientist (1999-2001), Member of Research Staff (1997). 1995-1997 Postdoctoral Fellow. University of Southern California, Language & Cognitive Neuroscience Lab. Program for Neural, Informational & Behavioral Sciences. 1995, Aug-Dec Lecturer. University of Southern California. Departments of Linguistics and Psychology. Linguistics/Psychology 586, Psycholinguistics: Aphasia (with M. MacDonald) 1993-1995 Postdoctoral Fellow. Johns Hopkins University, Cognitive Neurolinguistics/Neuropsychology Lab. Department of Cognitive Science. National Institutes of Health Cognitive Neuropsychology Training Grant (M. McCloskey and B. Rapp). 1 of 11 Timothy C. Clausner 1995, Jan-June Lecturer. Johns Hopkins University, Department of Cognitive Science. Designed and instructed a new course, Cognitive Science 126 Meanings in the Mind: Introduction to Semantics.
  • Spring 2006 Exciting Advances in 2005 Neuroergonomics

    Spring 2006 Exciting Advances in 2005 Neuroergonomics

    !uman Fac"rs / Applied Cogni#on Newsle$e% Spring 2006 Neuroergonomics an Interview with Dr. Raja Parasuraman pg 3 Exciting Advances in 2005 in Human Factors and Applied Cognition pg 6 Designs We Love To Hate! Students Speak Out pg 5 Departments Welcome - Carl Smith (pg 2) Contact Information The Next Wave (pg 8) Student activities and new graduate profiles The Beat (pg 10) GMU Publications, Presentations and Awards A Moment With...(pg 12) Patrick McKnight Parting Thoughts (pg 13) Dr. Boehm-Davis &elcom' This year has seen big changes and huge progress from the HFES student group! In just over two years, we have grown from a small group of dedicated students to a large, active student group striving to make a name for George Mason University both locally and nationally. The growth of the student group has led to several activities over the course of this year. In the 2005-2006 academic year, the GMU HFES Student Chapter will have hosted 8 speakers at GMU, participated in 6 community presentations to increase human factors awareness, and participated in a joint symposium with the Virginia Tech Human Factors Student Chapter. While the actions of our group are certainly noteworthy, we must be cognizant that our student chapter will only persevere through the energetic and continuous development of an active chapter membership. For our student group to continue to grow in size Carl Smith and prestige, it is critical that new and continuing students be GMU HFES Student Board President brought into the fold. For those students who are currently attend- ing GMU, take notice of the many HFES opportunities for students to become involved.
  • Download Forecheck Guide

    Download Forecheck Guide

    Forecheck Content 1 Welcome & Introduction 5 2 Overview: What Forecheck Can Do 6 3 First Steps 7 4 Projects and Analyses 9 5 Scheduler and Queue 12 6 Important Details 13 6.1 La..n..g..u..a..g..e..s.,. .C...h..a..r.a..c..t.e..r. .S..e..t.s.. .a..n..d.. .U..n..i.c..o..d..e....................................................................... 13 6.2 Ch..o..o..s..i.n..g.. .t.h..e.. .c.o..r..r.e..c..t. .F..o..n..t............................................................................................. 14 6.3 St.o..r.a..g..e.. .L..o..c..a..t.i.o..n.. .o..f. .D..a..t.a................................................................................................ 15 6.4 Fo..r.e..c..h..e..c..k. .U...s.e..r.-.A...g..e..n..t. .a..n..d.. .W...e..b.. .A..n..a..l.y..s.i.s.. .T..o..o..l.s............................................................. 15 6.5 Er.r.o..r.. .H..a..n..d..l.i.n..g................................................................................................................ 17 6.6 Ro..b..o..t.s...t.x..t.,. .n..o..i.n..d..e..x..,. .n..o..f.o..l.l.o..w......................................................................................... 18 6.7 Co..m...p..l.e..t.e.. .A..n..a..l.y..s..i.s. .o..f. .l.a..r.g..e.. .W....e..b..s.i.t.e..s............................................................................. 20 6.8 Fi.n..d..i.n..g.. .a..l.l. .p..a..g..e..s. .o..f. .a.. .W....e..b..s.i.t.e....................................................................................... 21 6.9 Go..o..g..l.e.. .A...n..a..l.y.t.i.c..s.
  • Editorial: Trends in Neuroergonomics

    Editorial: Trends in Neuroergonomics

    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Frontiers - Publisher Connector EDITORIAL published: 05 April 2017 doi: 10.3389/fnhum.2017.00165 Editorial: Trends in Neuroergonomics Klaus Gramann 1, 2*, Stephen H. Fairclough 3, Thorsten O. Zander 1, 4 and Hasan Ayaz 5, 6, 7 1 Department of Psychology and Ergonomics, Berlin Institute of Technology (TU Berlin), Berlin, Germany, 2 Center for Advanced Neurological Engineering, University of California, San Diego, San Diego, CA, USA, 3 School of Natural Sciences and Psychology, Liverpool John Moores University, Liverpool, UK, 4 Team PhyPA, Berlin Institute of Technology (TU Berlin), Berlin, Germany, 5 School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA, 6 Department of Family and Community Health, University of Pennsylvania, Philadelphia, PA, USA, 7 Division of General Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA Keywords: neuroergonomics, human-machine interaction, brain-computer interface, mobile brain/body imaging, physiological computing, EEG/ERP, NIRS/fNIRS, tDCS Editorial on the Research Topic Trends in Neuroergonomics NEW METHODS IN NEUROERGONOMICS This Research Topic is dedicated to Professor Raja Parasuraman who unexpectedly passed on March 22nd 2015. Raja Parasuraman’s pioneering work led to the emergence of Neuroergonomics as a new scientific field. Neuroergonomics is defined as the study of the human brain in relation to performance at work and everyday settings (Parasuraman, 2003; Parasuraman and Rizzo, 2008). Since the advent of Neuroergonomics, significant progress has been made with respect to methodology and tools for the investigation of the brain and behavior at work.
  • Lxmldoc-4.5.0.Pdf

    Lxmldoc-4.5.0.Pdf

    lxml 2020-01-29 Contents Contents 2 I lxml 14 1 lxml 15 Introduction................................................. 15 Documentation............................................... 15 Download.................................................. 16 Mailing list................................................. 17 Bug tracker................................................. 17 License................................................... 17 Old Versions................................................. 17 2 Why lxml? 18 Motto.................................................... 18 Aims..................................................... 18 3 Installing lxml 20 Where to get it................................................ 20 Requirements................................................ 20 Installation................................................. 21 MS Windows............................................. 21 Linux................................................. 21 MacOS-X............................................... 21 Building lxml from dev sources....................................... 22 Using lxml with python-libxml2...................................... 22 Source builds on MS Windows....................................... 22 Source builds on MacOS-X......................................... 22 4 Benchmarks and Speed 23 General notes................................................ 23 How to read the timings........................................... 24 Parsing and Serialising........................................... 24 The ElementTree
  • Brain-Computer Interfaces: U.S. Military Applications and Implications, an Initial Assessment

    Brain-Computer Interfaces: U.S. Military Applications and Implications, an Initial Assessment

    BRAIN- COMPUTER INTERFACES U.S. MILITARY APPLICATIONS AND IMPLICATIONS AN INITIAL ASSESSMENT ANIKA BINNENDIJK TIMOTHY MARLER ELIZABETH M. BARTELS Cover design: Peter Soriano Cover image: Adobe Stock/Prostock-studio Limited Print and Electronic Distribution Rights This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited. Permission is given to duplicate this document for personal use only, as long as it is unaltered and complete. Permission is required from RAND to reproduce, or reuse in another form, any of our research documents for commercial use. For information on reprint and linking permissions, please visit www.rand.org/pubs/permissions.html. RAND’s publications do not necessarily reflect the opinions of its research clients and sponsors. R® is a registered trademark. For more information on this publication, visit www.rand.org/t/RR2996. Library of Congress Cataloging-in-Publication Data is available for this publication. ISBN: 978-1-9774-0523-4 © Copyright 2020 RAND Corporation Summary points of failure, adversary access to new informa- tion, and new areas of exposure to harm or avenues Brain-computer interface (BCI) represents an emerg- of influence of service members. It also underscores ing and potentially disruptive area of technology institutional vulnerabilities that may arise, includ- that, to date, has received minimal public discussion ing challenges surrounding a deficit of trust in BCI in the defense and national security policy commu- technologies, as well as the potential erosion of unit nities. This research considered key areas in which cohesion, unit leadership, and other critical inter- future BCI technologies might be relevant for the personal military relationships.
  • Cognition and Neuroergonomics Collaborative Technology Alliance All-Hands Meeting 2017 Gainesville, FL – October 25-26, 2017

    Cognition and Neuroergonomics Collaborative Technology Alliance All-Hands Meeting 2017 Gainesville, FL – October 25-26, 2017

    Cognition and Neuroergonomics Collaborative Technology Alliance All-Hands Meeting 2017 Gainesville, FL – October 25-26, 2017 Wednesday, October 25 0700 – 0830 Registration and Breakfast 0830 – 0900 Welcome and Program Overview (Touryan, Lee) 0900 – 1030 Science Area Updates: Broad overview of ongoing research efforts within the three CaN CTA science areas. The following presentations will highlight significant progress and identify near-term research objectives in each area. The goal of this session will be to broaden awareness of research across the CTA, to identify areas of potential collaboration, and to facilitate proposal development for the final biennial program plan. Advanced Computational Approaches (Sajda) Brain-Computer Interaction (Jung) Real-World Neuroimaging (Ferris) 1030 – 1100 Break 1100 – 1200 A Deep Learning Approach to Real-World Neuroscience (Lawhern, Solon) [Abstract] 1200 – 1330 Lunch (provided) CMC Meeting (Lee) 1330 – 1400 Big EEG(1): Standardized Annotated Neurophysiology Data Repository (Johnson, Kellihan) ARL and the CaN CTA have conducted numerous neurophysiological research studies over the past 10 years to support a broad spectrum of analytical objectives. These datasets have now been collected into a single repository that utilizes a standardized preprocessing pipeline and common event-level reference schema, among a number of other features. The Standardized Annotated Neurophysiological Data Repository (SANDR) is positioned to become a unique resources for large-scale EEG analysis, both within and beyond the CTA. In this presentation, we will review the database content, architecture, and user-friendly system interface. 1400 – 1500 Big EEG(2): Large-Scale EEG Analysis and Validation of Hierarchical Event Descriptors (Bigdely-Shamlo, Robbins) The CaN CTA has invested years of effort in building a standardized data repository (SANDR) containing over twenty studies and millions of annotated events, along with a plethora of tools for curation and processing.
  • CSE 190 M (Web Programming), Spring 2008 University of Washington

    CSE 190 M (Web Programming), Spring 2008 University of Washington

    Extra Slides, week 2 CSE 190 M (Web Programming), Spring 2008 University of Washington Reading: Chapter 2, sections 2.4 - 2.6 Except where otherwise noted, the contents of this presentation are © Copyright 2008 Marty Stepp and Jessica Miller and are licensed under the Creative Commons Attribution 2.5 License. Additional XHTML Tags for adding metadata and icons to a page Web page metadata: <meta> information about your page (for a browser, search engine, etc.) <meta name="description" content="Authors' web site for Building Java Programs." /> <meta name="keywords" content="java, textbook" /> <meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1" /> placed in the head of your XHTML page meta tags often have both the name and content attributes some meta tags use the http-equiv attribute instead of name meta element to aid browser / web server <meta http-equiv="Content-Type" content=" type of document (character encoding)" /> <meta http-equiv="refresh" content=" how often to refresh the page (seconds)" /> </head> using the Content-Type gets rid of the W3C "tentatively valid" warning <meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1" /> the meta refresh tag can also redirect from one page to another: <meta http-equiv="refresh" content="5;url=http://www.bjp.com " /> why would we want to do this? (example ) meta element to describe the page <head> <meta name="author" content=" web page's author " /> <meta name="revised" content=" web page version and/or last modification date " /> <meta name="generator"
  • CALENDAR 2011 Sydney.Edu.Au/Calendar Calendar 2011 Calendar 2011

    CALENDAR 2011 Sydney.Edu.Au/Calendar Calendar 2011 Calendar 2011

    CALENDAR 2011 sydney.edu.au/calendar Calendar 2011 Calendar 2011 The Arms of the University Sidere mens eadem mutato Though the constellations change, the mind is universal The Arms Numbering of resolutions The following is an extract from the document granting Arms to the Renumbering of resolutions is for convenience only and does not University, dated May 1857: affect the interpretation of the resolutions, unless the context otherwise requires. Argent on a Cross Azure an open book proper, clasps Gold, between four Stars of eight points Or, on a chief Gules a Lion passant guardant Production also Or, together with this motto "Sidere mens eadem mutato" ... to Web and Print Production, Marketing and Communications be borne and used forever hereafter by the said University of Sydney Website: sydney.edu.au/web_print on their Common Seal, Shields, or otherwise according to the Law of Arms. The University of Sydney NSW 2006 Australia The motto, which was devised by FLS Merewether, Second Vice- Phone: +61 2 9351 2222 Provost of the University, conveys the feeling that in this hemisphere Website: sydney.edu.au all feelings and attitudes to scholarship are the same as those of our CRICOS Provider Code: 00026A predecessors in the northern hemisphere. Disclaimer ISSN: 0313-4466 This publication is copyright and remains the property of the University ISBN: 978-1-74210-173-6 of Sydney. This information is valid at the time of publication and the University reserves the right to alter information contained in the Calendar. Calendar 2010 ii Contents