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The Use of Compressed Video for Distance Learning: from Middle School to Senior Citizens
THE USE OF COMPRESSED VIDEO FOR DISTANCE LEARNING: FROM MIDDLE SCHOOL TO SENIOR CITIZENS Al P. Mizell Nova Southeastern University 362 Fairway Circle Weston, FL 33326 [email protected] Introduction A review of a ten-year project using ISDN Compressed Video to connect middle and high schools around the world for monthly explorations of a variety of topics ranging from music concerts to joint science experiments. At the other extreme, the use of webcams over the Internet in Skype, ooVoo, Logitech, and Google Video to make free video conferencing calls by limited income senior citizens in a Quality of Life project illustrates the distance compressed video has come. Finally, the use of video conferencing in Elluminate in Blackboard for graduate online courses is described. Participants will be invited to use their desktop units to explore some of these options and video clips during the session. The SAXophone project For approximately ten years, “Students Around the World eXchanging over the phone” (SAXophone), provided middle and high school students around the world with the opportunity to meet and interact with students from other cultures and societies. The SAXophone project was sponsored by Nova Southeastern University and the Broward County, Florida BECON Distance Learning Center from 1995 until 2005. The project began at the September1995 PictureTel User Group Annual Conference in Nashville, Tennessee. Three individuals attending the conference from different parts of the world met each other at lunch for the first time and began discussing ways to use compressed video equipment that they had recently received. The project began, as described by Mizell (1997), when Colonel Bent Kroon from the Swedish Military College, Mr. -
Master's Thesis Electronic Gatekeeper Using ETHERNET
University of West Bohemia Faculty of Applied Sciences Department of Computer Science and Engineering Master’s thesis Electronic Gatekeeper using ETHERNET Plzeň 2019 Hamza Elghoul Místo této strany bude zadání práce. Declaration I hereby declare that this master’s thesis is completely my own work and that I used only the cited sources. Plzeň, 2 May 2018 Hamza Elghoul Abstract The aim of this thesis is the analysis and the realization of a budget 2-way communication system using ETHERNET connection, more specific- ally a door intercom station (hereinafter ”Bouncer” or "Gatekeeper"), where it is possible to make voice calls between two CLIENTS, a CALLER and a CALLEE with an acceptable to minimal delay. There are many alternative methods available for implementing such sys- tems, this project will try to compare some of these solutions and choose the most convenient platform according to a number of factors, such as band- width, processing power needed and communication protocols in question. Keywords: VoIP, SIP,SDP, server, client, LAN, ethernet, embedded, audio, raspberry pi Contents Page List of Figures7 1 Preface 10 2 Analysis 11 2.1 Objectives and Requirements................. 11 2.2 Hardware............................ 12 2.2.1 Arduino......................... 12 2.2.2 RaspberryPi 3 Model B................ 13 2.2.3 Banana Pi........................ 14 2.2.4 Orange Pi........................ 15 2.2.5 CubieBoard 2...................... 16 2.2.6 Beagle Bone Black................... 16 2.3 Application........................... 18 2.4 Audio capture and digitalisation................ 19 2.4.1 Signaling Protocols................... 20 2.5 Communication Protocol.................... 23 2.5.1 Session Initiation Protocol............... 23 2.5.2 Real Time Protocol.................. -
Polycom UC Software with Skype for Business - Deployment Guide on Polycom Voice Support
DEPLOYMENT GUIDE UC Software 5.7.0 | April 2019 | 3725-49078-020B Polycom® UC Software with Skype for Business Copyright© 2019, Polycom, Inc. All rights reserved. No part of this document may be reproduced, translated into another language or format, or transmitted in any form or by any means, electronic or mechanical, for any purpose, without the express written permission of Polycom, Inc. 6001 America Center Drive San Jose, CA 95002 USA Trademarks Polycom®, the Polycom logo and the names and marks associated with Polycom products are trademarks and/or service marks of Polycom, Inc. and are registered and/or common law marks in the United States and various other countries. All other trademarks are property of their respective owners. No portion hereof may be reproduced or transmitted in any form or by any means, for any purpose other than the recipient's personal use, without the express written permission of Polycom. Disclaimer While Polycom uses reasonable efforts to include accurate and up-to-date information in this document, Polycom makes no warranties or representations as to its accuracy. Polycom assumes no liability or responsibility for any typographical or other errors or omissions in the content of this document. Limitation of Liability Polycom and/or its respective suppliers make no representations about the suitability of the information contained in this document for any purpose. Information is provided "as is" without warranty of any kind and is subject to change without notice. The entire risk arising out of its use remains with the recipient. In no event shall Polycom and/or its respective suppliers be liable for any direct, consequential, incidental, special, punitive or other damages whatsoever (including without limitation, damages for loss of business profits, business interruption, or loss of business information), even if Polycom has been advised of the possibility of such damages. -
From the President… the International Cwops Newsletter May 2012 Issue
May 2012 The International CWops Newsletter Issue No. 28 From the president… CW Academy Our recent press release that appeared on QRZ.COM and eHam resulted in 150 new CWops “CWT” students signing up! That speaks well for the 9, 23 May 2012 interest by those wishing to learn CW or Start time: improve their skill. Now it’s time for - 1300Z members to sign up as well – as advisors. - 1900Z - 0300Z (10/24 May.) 1-hour each session Jay, W5JQ, and Jack, W0UCE, have done a Exchange name/number (members) fantastic job in organizing classes which run Exchange name/SPC (non-members) for two months. They have established a CWops “neighborhood” vehicle to allow group web chats for both Look for CWops on 1.818, 3.528, 7.028, 10.118, classes as well as support (www.oovoo.com – 14.028, 18.078, 21.028, 24.908, 28.028, 50.098 it’s free) and some excellent guidelines to help advisors. CWops Officers and Director Officers President: Pete Chamalian, W1RM Go to www.cwops.org/cwacademy2.html for Vice President: Art Suberbielle, KZ5D more details. Secretary: Jim Talens, N3JT Treasurer: Craig Thompson, K9CT Directors: If you can’t devote time to being an advisor, Bert Donn, G3XSN how about getting on the bands on the sub- Vidi La Grange, ZS1EL band suggested (3.550-3.570, 7.050-7.070, Nodir Tursoon-Zade , EY8MM 14.050-14.070, 21.050-21.070 and 28.050- Webmaster: John Miller, K6MM 28.070) and look for students. Or, just call CQ Editor/Publisher: Rob Brownstein, K6RB CWA and see who comes back. -
Icaeyeblinkmetrics() Version 3.2
Documentation for: icaeyeblinkmetrics() Version 3.2 This EEGLAB toolbox is designed for automated/semi-automated selection of ICA components associated with eye- blink artifact using time-domain measures. The toolbox is based on the premises that 1) an ICA component associated with eye blinks should be more related to the recorded eye blink activity than other ICA components, and 2) removal of the ICA component associated with eye blinks should reduce the eye blink artifact present within the EEG following back projection. Other than the EEG input, the only required input for the function is specification of the channel that exhibits the artifact (in most cases the VEOG electrode). This can either be stored within the EEG.data matrix or within EEG.skipchannels. It will then identify eye-blinks within the channel to be used for computation of the metrics listed below. If you are not sure what channel to choose, you can let the function determine the channel where the artifact maximally presents but this does slow the function down. The toolbox does not change the data in any way, it only provides an output stored in ‘EEG.icaquant’ providing: 1. Metrics: a. The correlation between the measured artifact in the artifact channel and each ICA component. (i.e. how similar the ICA component is to the eye blink) b. The adjusted normalized convolution of the ICA component activity with the measured artifact in the artifact channel. (i.e., how well does the ICA component overlap with the eye blink) c. The percent reduction in the artifact present in the EEG for each ICA component if it was removed. -
Polycom Realpresence Trio ™ Hands-On Testing of an All-In-One Audio, Content, and Video Conferencing Device for Small Meeting Rooms
June 2017 Evaluation of Polycom RealPresence Trio ™ Hands-on testing of an all-in-one audio, content, and video conferencing device for small meeting rooms. This evaluation sponsored by: Background Founded in 1990 and headquartered in San Jose, California, Polycom is a privately-held 1 company that develops, manufactures, and markets video, voice, and content collaboration and communication products and services. The company employs approximately ~ 3,000 people and generates more than $1B in annual revenue. Polycom has been in the conference phone business since the early 1990s2, and to date has shipped more than six million analog and digital conference phones – all with the familiar Polycom three-legged “starfish” design (see images below). In October 2015, Polycom announced the RealPresence Trio 8800 – a multi-function conferencing device intended for use in small, medium, and large meeting rooms. Figure 1: Polycom SoundStation IP4000 (L) and Polycom RealPresence Trio 8800 (R) In April 2017, Polycom commissioned members of our South Florida test team to perform a third-party assessment of the RealPresence Trio 8800 solution. This document contains the results of our hands-on testing. Note – For readability and brevity’s sake, throughout this document we will refer to the Polycom RealPresence Trio 8800 as the Trio 8800 or simply Trio. 1 Polycom was acquired by private equity firm Siris Capital in September 2016 2 Source: https://en.wikipedia.org/wiki/Polycom#Polycom_audio_and_voice © 2018 Recon Research | www.reconres.com | Page 2 Understanding -
DOC-370264A1.Pdf
February 24, 2021 FACT SHEET* Facilitating Shared Use in the 3.1-3.55 GHz Band Second Report and Order, Order on Reconsideration, and Order of Proposed Modification, WT Docket No. 19-348 Background The Beat China by Harnessing Important, National Airwaves for 5G Act of 2020, which was included in the Fiscal Year 2021 omnibus spending bill, requires the Commission to work with its Federal partners to bring all of the 3.45 GHz band spectrum to market for next-generation wireless use through a system of competitive bidding by December 31, 2021. Beginning the implementation of this Congressional mandate, this item reallocates 100 megahertz in the 3.45 GHz band for flexible use wireless services and adopt rules to implement the new 3.45 GHz Service, The framework adopted for the 3.45 GHz band will enable full-power commercial use and provide flexibility to future licensees in deploying their networks in this band, while also ensuring that federal incumbents are still protected where and when they require continued access to the band. What the Second Report and Order Would Do: • Make 100 megahertz of spectrum in the 3.45 GHz band available for flexible use wireless services throughout the contiguous United States; • Add a co-primary, non-federal fixed and mobile (except aeronautical mobile) allocation to the band; • Create a regime to coordinate non-federal and federal use of spectrum by adopting Cooperative Planning Areas and Periodic Use Areas and establishing coordination procedures; • Adopt a band plan and technical, licensing, and competitive -
UVP: Uncovering Wechat Voip Peers Over Time
UVP: Uncovering WeChat VoIP Peers over Time Jiazheng Wang Zhenlong Yuan Department of Automation, Tsinghua University Research Institute of Information Technology Beijing, China Tsinghua University e-mail: [email protected] Beijing, China e-mail: [email protected] Jun Li Research Institute of Information Technology, Tsinghua Tsinghua National Lab for Information Science and Technology Beijing, China e-mail: [email protected] Abstract—VoIP is pervasively used in online voice Control channel protocols, Session Initiation Protocol (SIP) conversations through internet, and WeChat has become one [2] for example, are designed to know where the caller and of the most successful VoIP applications. Any leakage of VoIP callee are, understand the network status of them before the call information will threat user confidentiality and privacy, conversation actually starts. During the conversation, control and thus may lead to a catastrophic consequence to VoIP channel protocols also monitor and adapt to network service providers. In this paper, a thorough behavior analysis changes. Based on the information acquired by the control of WeChat proprietary VoIP protocols is performed and we channel, data channel can be set up to deliver audio chucks, find the anonymity of users can be compromised by flow whether relayed by a third party server, in a so called relay correlation attacks. Hereby a new framework UVP is based model, or directly between the VoIP peers, in the so proposed. UVP works in a global monitoring manner and called peer to peer model. leverages a new, efficient flow distance metric, evolved from Dynamic Time Wrapping, to correlate traffics from caller and VoIP services are responsible to protect the anonymity of callee. -
Client-Side Name Collision Vulnerability in the New Gtld Era: a Systematic Study
Session D5: Network Security CCS’17, October 30-November 3, 2017, Dallas, TX, USA Client-side Name Collision Vulnerability in the New gTLD Era: A Systematic Study Qi Alfred Chen, Matthew Thomas†, Eric Osterweil†, Yulong Cao, Jie You, Z. Morley Mao University of Michigan, †Verisign Labs [email protected],{mthomas,eosterweil}@verisign.com,{yulongc,jieyou,zmao}@umich.edu ABSTRACT was recently annouced (US-CERT alert TA16-144A), which specif- The recent unprecedented delegation of new generic top-level do- ically targets the leaked WPAD (Web Proxy Auto-Discovery) ser- mains (gTLDs) has exacerbated an existing, but fallow, problem vice discovery queries [79, 87]. In this attack, the attacker simply called name collisions. One concrete exploit of such problem was needs to register a domain that already receives vulnerable internal discovered recently, which targets internal namespaces and en- WPAD query leaks. Since WPAD queries are designed for discover- ables Man in the Middle (MitM) attacks against end-user devices ing and automatically conguring web proxy services, exploiting from anywhere on the Internet. Analysis of the underlying prob- these leaks allows the attacker to set up Man in the Middle (MitM) lem shows that it is not specic to any single service protocol, but proxies on end-user devices from anywhere on the Internet. little attention has been paid to understand the vulnerability status The cornerstone of this attack exploits the leaked service dis- and the defense solution space at the service level. In this paper, covery queries from the internal network services using DNS- we perform the rst systematic study of the robustness of internal based service discovery. -
Allworx 9204 Phone Guide
Allworx® Phone Guide 9204 No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopy, recording, or otherwise without the prior written permission of Allworx. © 2009 Allworx, a wholly owned subsidiary of PAETEC. All rights reserved. Allworx is a registered trademark of Allworx Corp. All other names may be trademarks or registered trademarks of their respective owners. Phone Guide – 9204 Table of Contents 1 GETTING STARTED.....................................................................................................................................................1 1.1 WHAT IS IN THE BOX? ...............................................................................................................................................1 1.2 CONNECTING THE PHONE .........................................................................................................................................1 2 ADJUSTING YOUR PHONE.........................................................................................................................................3 2.1 BASE ASSEMBLY AND ADJUSTING THE ANGLE OF THE PHONE.....................................................................................3 2.2 VOLUME...................................................................................................................................................................3 3 INTRODUCTION TO YOUR ALLWORX PHONE ........................................................................................................4 -
Microsoft Skype for Business
Spectralink 84-Series Wireless Telephone Microsoft Skype for Business Interoperability Guide (Formerly Lync Server 2013) 1725-86997-000 Rev: J September 2017 Spectralink 84-Series Wireless Telephones: Microsoft Skype for Business Interoperability Guide Copyright Notice © 2013-2017 Spectralink Corporation All rights reserved. SpectralinkTM, the Spectralink logo and the names and marks associated with Spectralink’s products are trademarks and/or service marks of Spectralink Corporation and are common law marks in the United States and various other countries. All other trademarks are property of their respective owners. No portion hereof may be reproduced or transmitted in any form or by any means, for any purpose other than the recipient’s personal use, without the express written permission of Spectralink. All rights reserved under the International and pan-American Copyright Conventions. No part of this manual, or the software described herein, may be reproduced or transmitted in any form or by any means, or translated into another language or format, in whole or in part, without the express written permission of Spectralink Corporation. Do not remove (or allow any third party to remove) any product identification, copyright or other notices. Notice Spectralink Corporation has prepared this document for use by Spectralink personnel and customers. The drawings and specifications contained herein are the property of Spectralink and shall be neither reproduced in whole or in part without the prior written approval of Spectralink, nor be implied to grant any license to make, use, or sell equipment manufactured in accordance herewith. Spectralink reserves the right to make changes in specifications and other information contained in this document without prior notice, and the reader should in all cases consult Spectralink to determine whether any such changes have been made. -
A Fully Automated Unsupervised Algorithm for Eye-Blink Detection in EEG Signals
2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton) Allerton Park and Retreat Center Monticello, IL, USA, September 24-27, 2019 Blink: A Fully Automated Unsupervised Algorithm for Eye-Blink Detection in EEG Signals Mohit Agarwal Raghupathy Sivakumar Electrical and Computer Engineering Electrical and Computer Engineering Georgia Institute of Technology Georgia Institute of Technology [email protected] [email protected] Abstract— Eye-blinks are known to substantially contaminate measurements. The presence of eye-blink artefacts in the EEG signals, and thereby severely impact the decoding of EEG EEG signal leads to confused or possibly false EEG inter- signals in various medical and scientific applications. In this pretations. Hence, the detection and removal of eye-blink work, we consider the problem of eye-blink detection that can then be employed to reliably remove eye-blinks from EEG components can be significantly useful in any EEG analysis. signals. We propose a fully automated and unsupervised eye- Several algorithms have been proposed in the literature to blink detection algorithm, Blink that self-learns user-specific identify eye-blinks, but they are characterized by one or brainwave profiles for eye-blinks. Hence, Blink does away more of the following limiting requirements - (i) a partly with any user training or manual inspection requirements. manual inspection for thresholds or template selection, (ii) Blink functions on a single channel EEG, and is capable of estimating the start and end timestamps of eye-blinks in a a user training phase, (iii) a high number of EEG channels, precise manner. We collect four different eye-blink datasets and (iv) Electrooculography (EOG) data requiring additional and annotate 2300+ eye-blinks to evaluate the robustness electrodes above and below the eyes.