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Volume 4 the Many-Splendored Society
Volume 4 The Many-Splendored Society: The Pursuit of Knowledge First edition This book describes how science became an independent realm of society. We also describe its contemporary nature and its relations to other realms, including those pursuing journal- istic, religious, political, and economic ends. This book stands alone, and one can read it by itself. It serves also as the fourth installment to a larger work in seven volumes about social theory and about a many-splendored society that is within human reach. To Karin Busch Zetterberg Also by Hans L Zetterberg On Theory and Verification in Sociology (also in Spanish, Japanese, and Swedish) Social Theory and Social Practice Arbete, livsstil och motivation Museums and Adult Education (also in French) Sexual Life in Sweden (translated and introduced by Graham Fennell) Det osynliga kontraktet (with Karin Busch and others) The World at Work (with main author Daniel Yankelovich and others) Before and Beyond the Welfare State. Three Lectures Sociologins följeslagare Sociological Endeavor. Selected Writings (edited by Richard Swedberg and Emil Uddhammar) Vårt land — den svenska socialstaten (with Carl Johan Ljungberg) Zetterberg texter (edited by Roland Poirier Martinsson) Published and planned volumes of “The Many-Splendored Society” Volume 1. Surrounded by Symbols, 2009, 3rd ed 2013, chapters 1-5 Volume 2. An Edifice of Symbols, 2010, 3rd ed 2013, chapters 6-10 Volume 3. Fueled by Symbols, 2010, 3rd ed 2013, chapters 11-17 Volume 4, The Pursuit of Knowledge, 2013, chapters 18-28 (the present book) Volume 5 The Pursuit of Beauty, Sacredness and Virtue Volume 6. The Pursuit of Wealth and Order Volume 7. -
Christopher Soghoian Student Fellow Berkman Center for Internet & Society Harvard University 23 Everett Street, Second Floor Cambridge MA 02138
Comment of: Christopher Soghoian Student Fellow Berkman Center for Internet & Society Harvard University 23 Everett Street, Second Floor Cambridge MA 02138 Represented by: Phil Malone Director, Cyberlaw Clinic Arjun Mehra Clinical Student, Cyberlaw Clinic Harvard Law School Berkman Center for Internet & Society 23 Everett Street, Second Floor Cambridge MA 02138 Office of the General Counsel U.S. Copyright Office James Madison Memorial Building, Room LM-401 101 Independence Avenue, SE. Washington, DC 20559-6000 December 2, 2008 Re: RM 2008-8 -- Exemptions to Prohibition on Circumvention of Copyright Protection Systems for Defunct DRM and Copy Protection-Based Stores I. PROPOSED CLASS OF WORKS We respectfully request an exemption to DMCA §1201(a)(1)(A) for lawfully purchased sound recordings, audiovisual works, and software programs distributed commercially in digital format by online music and media stores and protected by technological measures that depend on the continued availability of authenticating servers, when such authenticating servers cease functioning because the store fails or for other reasons. We also request a separate exemption for the same class of works even prior to the failure of the servers for technologists and researchers studying and documenting how the authenticating servers that effectuate the technological measures function. The technological measures at issue include digital rights management (DRM) technologies and copy protection mechanisms encoded into purchased music, videos, and software, which are sold with a set of permissions and require authentication with remote servers in order to allow users to fully exercise those purchased rights, including the ability to access the works on other devices, or in some cases, to allow continued access to the works on the same device. -
Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos
Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos Rui Hou, Chen Chen, Mubarak Shah Center for Research in Computer Vision (CRCV), University of Central Florida (UCF) [email protected], [email protected], [email protected] Abstract Deep learning has been demonstrated to achieve excel- lent results for image classification and object detection. However, the impact of deep learning on video analysis has been limited due to complexity of video data and lack of an- notations. Previous convolutional neural networks (CNN) based video action detection approaches usually consist of two major steps: frame-level action proposal generation and association of proposals across frames. Also, most of these methods employ two-stream CNN framework to han- dle spatial and temporal feature separately. In this paper, we propose an end-to-end deep network called Tube Con- volutional Neural Network (T-CNN) for action detection in videos. The proposed architecture is a unified deep net- work that is able to recognize and localize action based on 3D convolution features. A video is first divided into equal length clips and next for each clip a set of tube pro- Figure 1: Overview of the proposed Tube Convolutional posals are generated based on 3D Convolutional Network Neural Network (T-CNN). (ConvNet) features. Finally, the tube proposals of differ- ent clips are linked together employing network flow and spatio-temporal action detection is performed using these tracking based approaches [32]. Moreover, in order to cap- linked video proposals. Extensive experiments on several ture both spatial and temporal information of an action, two- video datasets demonstrate the superior performance of T- stream networks (a spatial CNN and a motion CNN) are CNN for classifying and localizing actions in both trimmed used. -
Participatory Freedom
Participatory Freedom How the Free versus Proprietary Software conflict frames our culture and ultimately government. By Bryan Quigley Introduction Very few people think about the impact of software on the choices they make. Most are just happy when software doesn't get in their way and lets them achieve what the person wanted. When something doesn't work they usually assume it is a bug. Who would ever guess that it was intentional? Software dictates what formats digital artists write to and even how votes are counted in presidential elections. For the power software holds over society, it really isn't understood very well by decision makers. This paper looks at two ideological camps in software and how they frame the culture we make and the decisions governments make. To do this I first take a look at the two camps in software, look at the similar camps in culture, and finally how they relate to self governance. Beginnings The concept of free software is an old one. When computers first reached universities, they were research tools. Software source code was freely passed around, and programmers were paid for the act of programming, not for the programs themselves. -United Nations Educational, Scientific and Cultural Organization, 2001 Software started out free. It was passed around similar to scientific knowledge as most of those who had it were scientists. They shared it just like they would share scientific discoveries. Commercialization of software started with restrictions of access to the source code and the sharing started to go away. Proprietary Software Bill Gates "fired the shot heard around the world" for proprietary software and clearly has accomplished his goal of making lots of money off of his control of the source code. -
Render for CNN: Viewpoint Estimation in Images Using Cnns Trained with Rendered 3D Model Views
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views Hao Su∗, Charles R. Qi∗, Yangyan Li, Leonidas J. Guibas Stanford University Abstract Object viewpoint estimation from 2D images is an ConvoluƟonal Neural Network essential task in computer vision. However, two issues hinder its progress: scarcity of training data with viewpoint annotations, and a lack of powerful features. Inspired by the growing availability of 3D models, we propose a framework to address both issues by combining render-based image synthesis and CNNs (Convolutional Neural Networks). We believe that 3D models have the potential in generating a large number of images of high variation, which can be well exploited by deep CNN with a high learning capacity. Figure 1. System overview. We synthesize training images by overlaying images rendered from large 3D model collections on Towards this goal, we propose a scalable and overfit- top of real images. CNN is trained to map images to the ground resistant image synthesis pipeline, together with a novel truth object viewpoints. The training data is a combination of CNN specifically tailored for the viewpoint estimation task. real images and synthesized images. The learned CNN is applied Experimentally, we show that the viewpoint estimation from to estimate the viewpoints of objects in real images. Project our pipeline can significantly outperform state-of-the-art homepage is at https://shapenet.cs.stanford.edu/ methods on PASCAL 3D+ benchmark. projects/RenderForCNN 1. Introduction However, this is contrary to the recent finding — features learned by task-specific supervision leads to much better 3D recognition is a cornerstone problem in many vi- task performance [16, 11, 14]. -
LINEAR TV in the NON-LINEAR WORLD the Value of Linear
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Drexel Libraries E-Repository and Archives LINEAR TV IN THE NON-LINEAR WORLD The Value of Linear Scheduling Amidst the Proliferation of Non-Linear Platforms A Thesis Submitted to the Faculty of Drexel University by Carlo Angelo Mandala Hernandez in partial fulfillment of the requirements for the degree of Master of Science in Television Management March 2017 © Copyright 2017 Carlo Angelo Mandala Hernandez. All Rights Reserved. ii Acknowledgments I would like to acknowledge and express my appreciation for the individuals and groups who helped to make this thesis a possibility, and who encouraged me to get this done. To my thesis adviser Phil Salas and program director Albert Tedesco, thank you for your guidance and for all the good words. To all the participants in this thesis, Jeff Bader, Dan Harrison, Kelly Kahl, Andy Kubitz, and Dennis Goggin, thank you for sharing your knowledge and experience. Without you, this research study would lack substance or would not have materialized at all. I would also like to extend my appreciation to those who helped me to reach out to network executives and set up interview schedules: Nancy Robinson, Anthony Maglio, Omar Litton, Mary Clark, Tamara Sobel and Elle Berry Johnson. I would like to thank the following for their insights, comments and suggestions: Elizabeth Allan-Harrington, Preston Beckman, Yvette Buono, Eric Cardinal, Perry Casciato, Michelle DeVylder, Larry Epstein, Kevin Levy, Kimberly Luce, Jim -
Calls, Clicks & Smes
Interactive Local Media A TKG Continuous Advisory Service White Paper #05-03 November 1, 2005 From Reach to Targeting: The Transformation of TV in the Internet Age By Michael Boland Copyright © 2005 The Kelsey Group All Rights Reserved. This published material may not be duplicated or copied in any form without the express prior written consent of The Kelsey Group. Misuse of these materials may expose the infringer to civil or criminal liabilities under Federal Law. The Kelsey Group disclaims any warranty with respect to these materials and, in addition, The Kelsey Group disclaims any liability for direct, indirect or consequential damages that may result from the use of the information and data contained in these materials. 600 Executive Drive • Princeton • NJ • 08540 • (609) 921-7200 • Fax (609) 921-2112 Advisory Services • Research • Consulting • [email protected] Executive Summary The Internet Protocol Television (IPTV) revolution is upon us. The transformation of television that began with the VCR and gained significant momentum with TiVo is now accelerating dramatically with “on-demand” cable, video search and IPTV. Billions of dollars are at stake, and a complex and competitive landscape is also starting to emerge. It includes traditional media companies (News Corp., Viacom), Internet search engines and portals (America Online, Google, Yahoo!), telcos (BellSouth, SBC, Verizon) and the cable companies themselves (Comcast, Cox Communications). Why is all this happening now? While there was a great deal of hype in the 1990s about TV-Internet convergence, or “interactive TV,” previous attempts failed in part because of low broadband penetration, costly storage and inferior video-streaming technologies. -
KRAKAUER-DISSERTATION-2014.Pdf (10.23Mb)
Copyright by Benjamin Samuel Krakauer 2014 The Dissertation Committee for Benjamin Samuel Krakauer Certifies that this is the approved version of the following dissertation: Negotiations of Modernity, Spirituality, and Bengali Identity in Contemporary Bāul-Fakir Music Committee: Stephen Slawek, Supervisor Charles Capwell Kaushik Ghosh Kathryn Hansen Robin Moore Sonia Seeman Negotiations of Modernity, Spirituality, and Bengali Identity in Contemporary Bāul-Fakir Music by Benjamin Samuel Krakauer, B.A.Music; M.A. Dissertation Presented to the Faculty of the Graduate School of The University of Texas at Austin in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy The University of Texas at Austin May 2014 Dedication This work is dedicated to all of the Bāul-Fakir musicians who were so kind, hospitable, and encouraging to me during my time in West Bengal. Without their friendship and generosity this work would not have been possible. জয় 巁쇁! Acknowledgements I am grateful to many friends, family members, and colleagues for their support, encouragement, and valuable input. Thanks to my parents, Henry and Sarah Krakauer for proofreading my chapter drafts, and for encouraging me to pursue my academic and artistic interests; to Laura Ogburn for her help and suggestions on innumerable proposals, abstracts, and drafts, and for cheering me up during difficult times; to Mark and Ilana Krakauer for being such supportive siblings; to Stephen Slawek for his valuable input and advice throughout my time at UT; to Kathryn Hansen -
Proposal of an Automated Mission Manager for Cooperative Autonomous Underwater Vehicles
applied sciences Article Proposal of an Automated Mission Manager for Cooperative Autonomous Underwater Vehicles Néstor Lucas Martínez * , José-Fernán Martínez-Ortega, Jesús Rodríguez-Molina and Zhaoyu Zhai Departamento de Ingeniería Telemática y Electrónica (DTE), Escuela Técnica Superior de Ingeniería y Sistemas de Telecomunicación (ETSIST), Universidad Politécnica de Madrid (UPM), C/Nikola Tesla, s/n/, 28031 Madrid, Spain; [email protected] (J.-F.M.-O.); [email protected] (J.R.-M.); [email protected] (Z.Z.) * Correspondence: [email protected]; Tel.: +34-910-673-499 Received: 1 January 2020; Accepted: 21 January 2020; Published: 25 January 2020 Featured Application: Mission management for cooperative autonomous robotics. Abstract: In recent years there has been an increasing interest in the use of autonomous underwater vehicles (AUVs) for ocean interventions. Typical operations imply the pre-loading of a pre-generated mission plan into the AUV before being launched. Once deployed, the AUV waits for a start command to begin the execution of the plan. An onboard mission manager is responsible for handling the events that may prevent the AUV from following the plan. This approach considers the management of the mission only at the vehicle level. However, the use of a mission-level manager in coordination with the onboard mission manager could improve the handling of exogenous events that cannot be handled fully at the vehicle level. Moreover, the use of vehicle virtualization by the mission-level manager can ease the use of older AUVs. In this paper, we propose a new mission-level manager to be run at a control station. -
A Comprehensive Assessment of Atlanta's Status As A
A COMPREHENSIVE ASSESSMENT OF ATLANTA’S STATUS AS A HIGH-TECHNOLOGY CLUSTER A Thesis Presented to The Academic Faculty by Mollie M. Taylor In Partial Fulfillment of the Requirements for the Degree Master of Science in the Sam Nunn School of International Affairs Georgia Institute of Technology April 2008 A COMPREHENSIVE ASSESSMENT OF ATLANTA’S STATUS AS A HIGH-TECHNOLOGY CLUSTER Approved by: Professor Dan Breznitz, Committee Chair Sam Nunn School of International Affairs and School of Public Policy Georgia Institute of Technology Professor Dan Breznitz, Advisor Sam Nunn School of International Affairs and School of Public Policy Georgia Institute of Technology Professor Mark Zachary Taylor Sam Nunn School of International Affairs Georgia Institute of Technology Professor Kirk S. Bowman Sam Nunn School of International Affairs Georgia Institute of Technology Date Approved: 1 April 2008 ACKNOWLEDGEMENTS I would like to express my gratitude to all those who gave me the possibility to complete this thesis. First and foremost, I would like to thank my advisor, Dr. Dan Breznitz for proposing the topic of study, encouraging me to write a thesis, making sure that I appropriately managed my time, and providing a solid starting point as well as many hints for where to look when I did not or could not find something. I would like to thank my readers Profs. Mark Zachary Taylor and Kirk Bowman for time and attention during a busy year. I would also like to thank the Sam Nunn School of International Affairs for their support and funding, as well as Georgia Tech’s Enterprise Innovation Institute, the Kauffman Foundation, and the Sloan Foundation for their generosity and funding. -
Directory Content Meets Wireless Locator
Interactive Local Media Advisory VoIP: Clicks, Calls and the New Telephony Infrastructure Analyst: Michael Boland with Greg Sterling Document: ILM Advisory #05-10 Date: 10/4/05 Summary: The implications of mainstream adoption of VoIP as an alternative to traditional phone service are significant for consumers, advertisers, telcos and the Internet mega-brands that are quickly transforming into diversified media and communications providers. Expansion of call tracking, increased proliferation of pay- per-phone-call (PPCall) and the degradation of the listings database are some of the potential long-term effects of VoIP penetration. Estimates for adoption in the U.S. and Europe range from roughly 12 million to more than 20 million users by 2009. In realistically assessing VoIP’s outlook, one needs to consider what would motivate mainstream consumers to adopt it at the expense of traditional phone service (i.e., price, features). Another factor to consider is that VoIP requires a broadband connection and thus depends on further proliferation of high-speed access. Regardless, VoIP is no longer the stuff of IT trade publications; it is an emerging alternative telephony infrastructure. The question is, how far and how quickly will it penetrate? Suddenly, and somewhat strangely, Voice over Internet Protocol (VoIP) is front-page news. The announced purchase of Luxembourg-based VoIP provider Skype Technologies SA by eBay, the launches of Google Talk and AOL’s TotalTalk, and the earlier acquisitions of Teleo by Microsoft and PC-to-phone service provider Dialpad by Yahoo! have created a climate of publicity and speculation about the rollout of next- generation telephony services and new or expanded ad models built on VoIP networks. -
Sridhar Narasimhan
SRIDHAR NARASIMHAN CURRICULUM VITAE July 2015 Present Position Professor of Information Technology Management Co-Director, Business Analytics Center Scheller College of Business Georgia Institute of Technology Atlanta, GA 30308-1149 Phone: (404) 894-4378 E-mail: [email protected] Education Ph.D. Business Administration, The Ohio State University, August 1987. Thesis: Topological Design of Networks for Data Communication Systems. Thesis Advisors: Hasan Pirkul and David A. Schilling. M.S. Computers and Information Systems, University of Rochester, 1983. M.B.A. Indian Institute of Management, Bangalore, India, 1981. B.E. Electrical and Electronics Engineering, (Honors), Birla Institute of Technology and Science, Pilani, India, 1977. Employment Co-Director, Business Analytics Center, Scheller College of Business, Georgia Tech, Spring 2014 – Senior Associate Dean: Scheller College of Business, Georgia Tech, (with tenure), June 2007 – June 2015 Professor: Scheller College of Business (former College of Management), Georgia Tech, (with tenure), Fall 2001 – Associate Professor: College of Management, Georgia Tech, (with tenure), Fall 1993 – Spring 2001 Assistant Professor: College of Management, Georgia Tech, Fall 1987 – Spring 1993 ______________________________________________________________________ Sridhar Narasimhan, July 2015 Page 1 Teaching Associate: Taught at the Computer & Information Science Department, The Ohio State University from April 1984 to August 1986. Taught at the Graduate School of Management, University of Rochester from July 1982 to March 1984. Systems Officer: DCM Data Products, New Delhi, India. The job involved studying user requirements for data processing applications, preparing sales proposals, installing applications and training of customer personnel for data processing (July 1977 – June 1979). Accomplishments – Senior Associate Dean and Chief Operating Officer Business Analytics Center (2014- ) o Council Members: Deloitte, AT&T, Equifax, Coca-Cola, North Highland.