From Opensocial to Enterprise 2.0 Based on Social Software Concepts and Technologies
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Google Docs Accessibility (Pdf)
Google Docs Accessibility (A11y) Building Accessible Google Docs • Heading Styles • Images • Table of Contents • Captioning • Columns and Lists • Tables A11y • Tab Stops • Color Contrast • Paragraph Spacing • Headers and Footers • Meaningful Link Text • Accessibility Checker What is Assistive Technology? Assistive Technology (AT) are “products, equipment, and systems that enhance learning, working, and daily living for persons with disabilities.” Magnification Speech Screen Readers Software Recognition Trackball Mouse Keyboard Zoom Text Braille Computer Keyboard Captions/Subtitles Captioned Telephone Video Relay Services Captioning Videos Per federal and state law, and CSU policy, instructional media (e.g., videos, captured lectures, recorded presentations) must have captions. This includes instructional media used in classrooms, posted on websites or shared in Canvas. • All students who are enrolled in a course must be able to access the content in the course. • Faculty: Funding is available to help faculty generate captions and transcripts for instructional media. Materials should be submitted at least six weeks in advance of their use in instruction. • Staff: For CSUN staff who do not provide classroom material, there is a cost through chargeback. For information on the chargeback, email [email protected]. csun.edu/captioning What are Screen Readers Screen readers are a form of assistive technology (AT) software that enables access to a computer, and all the things a computer does, by attempting to identify and interpret what is being displayed on the computer screen using text-to-speech. Screen readers can only access and process live text (fully editable or selectable text). • Provides access to someone who is visually impaired, mobility or has a learning disability to access text on the screen. -
Detecting and Exploiting Misexposed Components of Android Applications
POLITECNICO DI TORINO Corso di Laurea in Ingegneria Informatica Tesi di Laurea Magistrale Detecting and exploiting misexposed components of Android applications Relatori prof. Antonio Lioy prof. Ugo Buy Francesco Pinci December 2018 To my parents, my sister, and my relatives, who have been my supporters throughout my entire journey, always believing in me, and providing me with continous encouragement. This accomplishment would not have been possible without them. Thank you. Summary Smartphones and tablets have become an essential element in our everyday lives. Everyone use these devices to send messages, make phone calls, make payments, manage appointments and surf the web. All these use cases imply that they have access to and collect user sensitive information at every moment. This has attracted the attention of attackers, who started targetting them. The attraction is demon- strated by the continuous increase in the sophistication and number of malware that has mobile devices as the target [1][2]. The Android project is an open-source software which can be downloaded and studied by anyone. Its openness has allowed, during the years, an intensive in- spection and testing by developers and researches. This led Google to constantly updating its product with new functionalities as well as with bug fixes. Various types of attacks have targetted the Android software but all of them have been mitigated with the introduction of new security mechanisms and extra prevention methods. Starting from September 2018, 16 major versions of the OS have been realized, reducing incredibly the attack surface exposed by the system. The application ecosystem developed by the Android project is a key factor for the incredible popularity of the mobile devices manufactured and sold with the OS. -
Opensocial: from Social Networks to Social Ecosystem
2007 Inaugural IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2007) OpenSocial: From Social Networks to Social Ecosystem Juliana Mitchell-WongI, Ryszard Kowalczyk', Albena Rosheloval, Bruce Joy2 and Henry Tsai2 'Centre for Information Technology Research, Swinburne University, Hawthorn, VIC, Australia e-mail: (jmitchellwong, rkowalczyk, aroshelova)@ict.swin.edu.au 2Everyday Interactive Networks, Hawthorn, VIC, Australia, e-mail: (brucejoy, henrytsai)@ein.com.au ties to be managed using the one application. GAIM' and Abstract-Unlike the physical world where social ecosys- Trillian2 are two example applications for instant messaging tems are formed from the integrated and managed relation- communities. These applications however do not address ships between individuals and organisations, the online digital any of the fundamental issues: the independent and isolated world consists of many independent, isolated and incompatible nature of communities, the ignorance to overlapping rela- social networks established by organisations that have over- lapping and manually managed relationships. To bring the tionships in different communities, or the manual manage- online digital world in-line with the physical world, integration ment of relationships. of social networks, identification of overlapping relationships Communities on the other hand have moved towards in social networks, and automation of relationship manage- forming alliances with other communities to enable content ment in social networks are required. OpenSocial is a frame- search and retrieval between them by using common ontol- work that enables social networks to interlink and self- use common organise into a social ecosystem guided by the policies of indi- ogy [1]. The of ontology enables communities viduals and organisations. to interlink, but each of these communities assumes that their policies are agreeable by every community in the alli- Index Terms-social framework, self-organised, self- ance. -
AGIS SOFTWARE DEVELOPMENT § LLC, § Case No
Case 2:19-cv-00361-JRG Document 1 Filed 11/04/19 Page 1 of 70 PageID #: 1 IN THE UNITED STATES DISTRICT COURT FOR THE EASTERN DISTRICT OF TEXAS MARSHALL DIVISION § AGIS SOFTWARE DEVELOPMENT § LLC, § Case No. § Plaintiff, § JURY TRIAL DEMANDED § v. § § GOOGLE LLC, § § Defendant. § § PLAINTIFF’S ORIGINAL COMPLAINT FOR PATENT INFRINGEMENT Plaintiff, AGIS Software Development LLC (“AGIS Software” or “Plaintiff”) files this original Complaint against Defendant Google LLC (“Defendant” or “Google”) for patent infringement under 35 U.S.C. § 271 and alleges as follows: THE PARTIES 1. Plaintiff AGIS Software is a limited liability company organized and existing under the laws of the State of Texas, and maintains its principal place of business at 100 W. Houston Street, Marshall, Texas 75670. AGIS Software is the owner of all right, title, and interest in and to U.S. Patent Nos. 8,213,970, 9,408,055, 9,445,251, 9,467,838, 9,749,829, and 9,820,123 (the “Patents-in-Suit”). 2. Defendant Google is a Delaware corporation and maintains its principal place of business at 1600 Amphitheatre Parkway, Mountain View, California 94043, and may be served with process via its registered agent, Corporation Service Company at 251 Little Falls Drive, Wilmington, DE 19808. Upon information and belief, Google does business in Texas, directly or through intermediaries, and offers its products and/or services, including those accused herein Case 2:19-cv-00361-JRG Document 1 Filed 11/04/19 Page 2 of 70 PageID #: 2 of infringement, to customers and potential customers located in Texas, including in the judicial Eastern District of Texas. -
Samsung Galaxy A10e
User manual Table of contents Features 1 Camera 1 Security 1 Expandable storage 1 Night mode 1 Getting started 2 Galaxy A10e 3 Galaxy A20 4 Assemble your device 5 Charge the battery 6 Accessories 6 Start using your device 7 Use the Setup Wizard 7 Transfer data from an old device 7 Lock or unlock your device 8 Accounts 9 Set up voicemail 10 Navigation 11 i SPT_A102U_A205U_EN_UM_TN_SED_061419_FINAL Table of contents Navigation bar 16 Customize your home screen 18 Bixby 25 Digital wellbeing 25 Flexible security 26 Multi window 29 Enter text 30 Emergency mode 33 Apps 35 Using apps 36 Uninstall or disable apps 36 Search for apps 36 Sort apps 36 Create and use folders 37 Samsung apps 38 Galaxy Essentials 38 Galaxy Store 38 Galaxy Wearable 38 Samsung Health 39 ii Table of contents Samsung Members 40 Samsung Notes 41 SmartThings 43 Calculator 44 Calendar 45 Camera 47 Contacts 51 Clock 56 Email 60 Gallery 63 Internet 67 Messages 70 My Files 72 Phone 74 Google apps 82 Chrome 82 Drive 82 Duo 82 Gmail 82 iii Table of contents Google 82 Maps 83 Photos 83 Play Movies & TV 83 Play Music 83 Play Store 83 YouTube 83 Settings 84 Access Settings 85 Search for Settings 85 Connections 85 Wi-Fi 85 Bluetooth 87 Phone visibility 88 NFC and payment 89 Airplane mode 90 Voice networks 90 Mobile networks 90 Data usage 90 iv Table of contents Mobile hotspot 92 Tethering 94 Call and message continuity 94 Nearby device scanning 94 Connect to a printer 95 Virtual Private Networks 95 Private DNS 96 Ethernet 96 Sounds and vibration 96 Sound mode 96 Vibrations 97 Volume -
Profiles Research Networking Software Installation Guide
Profiles Research Networking Software Installation Guide Documentation Version : July 25, 2014 Software Version : ProfilesRNS_2.1.0 Table of Contents Introduction ..................................................................................................................... 2 Hardware and Operating System Requirements ............................................................. 3 Download Options ........................................................................................................... 4 Installing the Database .................................................................................................... 5 Loading Person Data....................................................................................................... 8 Loading Person Data: Part 1 – Importing SSIS Packages into SQL Server msdb Database ..................................................................................................................... 8 Loading Person Data: Part 2 – Importing Demographic Data .................................... 10 Loading Person Data: Part 3 – Geocoding ................................................................ 15 Loading Person Data: Part 4 – Obtaining Publications .............................................. 16 Loading Person Data: Part 5 – Convert data to RDF ................................................. 19 Scheduling Database Jobs ............................................................................................ 21 Installing the Code........................................................................................................ -
Apachecon US 2008 with Apache Shindig
ApacheCon US 2008 Empowering the social web with Apache Shindig Henning Schmiedehausen Sr. Software Engineer – Ning, Inc. November 3 - 7 • New Orleans Leading the Wave of Open Source The Official User Conference of The Apache Software Foundation Freitag, 7. November 2008 1 • How the web became social • Get out of the Silo – Google Gadgets • OpenSocial – A social API • Apache Shindig • Customizing Shindig • Summary November 3 - 7 • New Orleans ApacheCon US 2008 Leading the Wave of Open Source The Official User Conference of The Apache Software Foundation Freitag, 7. November 2008 2 ApacheCon US 2008 In the beginning... Freitag, 7. November 2008 3 ApacheCon US 2008 ...let there be web 2.0 Freitag, 7. November 2008 4 • Web x.0 is about participation • Users have personalized logins Relations between users are graphs • "small world phenomenon", "six degrees of separation", Erdös number, Bacon number November 3 - 7 • New Orleans ApacheCon US 2008 Leading the Wave of Open Source The Official User Conference of The Apache Software Foundation Freitag, 7. November 2008 5 ApacheCon US 2008 The Silo problem Freitag, 7. November 2008 6 • How the web became social • Get out of the Silo – Google Gadgets • OpenSocial – A social API • Apache Shindig • Customizing Shindig • Summary November 3 - 7 • New Orleans ApacheCon US 2008 Leading the Wave of Open Source The Official User Conference of The Apache Software Foundation Freitag, 7. November 2008 7 ApacheCon US 2008 iGoogle Freitag, 7. November 2008 8 • Users adds Gadgets to their homepages Gadgets share screen space • Google experiments with Canvas view Javascript, HTML, CSS • A gadget runs on the Browser! Predefined Gadgets API • Core APIs for IO, JSON, Prefs; optional APIs (e.g. -
Windows Desktop: Sharing Photos and Location with the Cloud
Windows desktop: Sharing photos and location with the cloud How the cloud helps you share files, find people and your devices. Your Google Account cloud service lets you share files, photos and videos between your Windows computer and your Android phone. You can also use your Google Account on your computer to help locate your Android phone if it becomes lost or stolen. What you will need Before you begin the course, your computer must have a minimum of Windows 10 operating software. If you are not sure of your current software version, or how to update it to the latest available, please refer to the Windows desktop: Security and privacy guide. You should also check that your computer is connected to mains power, switched on and showing the latest version of the Chrome browser on the desktop. You should be connected to the internet, have an email Your free Google cloud service account set up on your computer, and ensure that the lets you share files, locate mouse, monitor and keyboard are connected properly. friends and find your missing devices Also, your Android phone needs to be switched on, have the latest version of its operating software installed, and be connected to the internet, either via Wi-Fi or mobile data. You’ll need to be signed in to your Google Account on your computer, and on your phone. To sign in to your Google Account, type google.com into the Search bar of your web browser and follow the steps. To get the most from this course, you should also back up the photos and videos on your Android phone to your Google Account cloud service, ready for viewing on your computer. -
A Comparison of Natural Language Understanding Platforms for Chatbots in Software Engineering
1 A Comparison of Natural Language Understanding Platforms for Chatbots in Software Engineering Ahmad Abdellatif, Khaled Badran, Diego Elias Costa, and Emad Shihab, Senior Member, IEEE Abstract—Chatbots are envisioned to dramatically change the future of Software Engineering, allowing practitioners to chat and inquire about their software projects and interact with different services using natural language. At the heart of every chatbot is a Natural Language Understanding (NLU) component that enables the chatbot to understand natural language input. Recently, many NLU platforms were provided to serve as an off-the-shelf NLU component for chatbots, however, selecting the best NLU for Software Engineering chatbots remains an open challenge. Therefore, in this paper, we evaluate four of the most commonly used NLUs, namely IBM Watson, Google Dialogflow, Rasa, and Microsoft LUIS to shed light on which NLU should be used in Software Engineering based chatbots. Specifically, we examine the NLUs’ performance in classifying intents, confidence scores stability, and extracting entities. To evaluate the NLUs, we use two datasets that reflect two common tasks performed by Software Engineering practitioners, 1) the task of chatting with the chatbot to ask questions about software repositories 2) the task of asking development questions on Q&A forums (e.g., Stack Overflow). According to our findings, IBM Watson is the best performing NLU when considering the three aspects (intents classification, confidence scores, and entity extraction). However, the results from each individual aspect show that, in intents classification, IBM Watson performs the best with an F1-measure>84%, but in confidence scores, Rasa comes on top with a median confidence score higher than 0.91. -
'Order Denying the Motion to Dismiss As to the Merits Of
Case 5:15-cv-04062-LHK Document 49 Filed 08/12/16 Page 1 of 38 1 2 3 4 5 6 7 8 UNITED STATES DISTRICT COURT 9 NORTHERN DISTRICT OF CALIFORNIA 10 SAN JOSE DIVISION 11 12 DANIEL MATERA, Case No. 15-CV-04062-LHK 13 Plaintiff, ORDER DENYING MOTION TO DISMISS AS TO THE MERITS OF 14 v. PLAINTIFF’S CLAIMS 15 GOOGLE INC., Re: Dkt. No. 20 16 Defendant. 17 United States District Court District United States Northern District of California District Northern 18 Plaintiff Daniel Matera (“Plaintiff”), individually and on behalf of those similarly situated, 19 alleges that Defendant Google Inc. (“Google”) violated federal and state wiretapping laws in its 20 operation of Gmail, an email service. ECF No. 1 (“Compl.”).1 Before the Court is Google’s 21 motion to dismiss for failure to state a claim. ECF No. 20. Having considered the parties’ 22 submissions, the relevant law, and the record in this case, the Court DENIES Google’s motion to 23 dismiss as to the merits of Plaintiff’s claims. The Court will issue a separate order on standing 24 issues. 25 26 1 27 Unless otherwise noted, all ECF references are to the docket of 15-CV-04062 in the Northern District of California. 28 1 Case No. 15-CV-04062-LHK ORDER DENYING MOTION TO DISMISS AS TO THE MERITS OF PLAINTIFF’S CLAIMS Case 5:15-cv-04062-LHK Document 49 Filed 08/12/16 Page 2 of 38 I. BACKGROUND 1 A. Factual Background 2 1. In re Google Inc. -
Creating a Simple Website
TUTORIAL Creating a Simple Website Why having a website? Table of Contents Table of Contents .................................................................................................................................... 2 Step 1: create a Google account (Gmail) ................................................................................................. 3 Step 2: create a Google website .............................................................................................................. 4 Step 3: edit a page ................................................................................................................................... 6 Add an hyperlink ................................................................................................................................. 7 Create a new page: .............................................................................................................................. 8 Add an image....................................................................................................................................... 9 Step 4: website page setting .................................................................................................................. 10 The header ......................................................................................................................................... 10 The side bar ...................................................................................................................................... -
Juror Misconduct in the Digital Age
GOOGLE, GADGETS, AND GUILT: JUROR MISCONDUCT IN THE DIGITAL AGE THADDEUS HOFFMEISTER* This Article begins by examining the traditional reasons for juror research. The Article then discusses how the Digital Age has created new rationales for juror research while simultaneously affording jurors greater opportunities to conduct such research. Next, the Article examines how technology has also altered juror-to-juror communications and juror-to-non-juror communications. Part I concludes by analyzing the reasons jurors violate court rules about discussing the case. In Part II, the Article explores possible steps to limit the negative impact of the Digital Age on juror research and communications. While no single solution or panacea exists for these problems, this Article focuses on several reform measures that could address and possibly reduce the detrimental effects of the Digital Age on jurors. The four remedies discussed in this Article are (1) penalizing jurors, (2) investigating jurors, (3) allowing jurors to ask questions, and (4) improving juror instructions. During the discussion on jury instructions, this Article analyzes two sets of jury instructions to see how well they adhere to the suggested changes proposed by this Article. This is followed by a draft model jury instruction. * Associate Professor of Law, University of Dayton School of Law. In addition to researching and writing on issues impacting jurors, the author edits a blog titled Juries. Prior to teaching, he served in the military, clerked for a federal judge, and worked on Capitol Hill. He earned his BA (French) from Morgan State University, JD from Northeastern University School of Law, and LLM from Georgetown University Law Center.