Tableau OSS List 2020.1 Final.Xlsx
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SICAM Gridpass 3
Open Source Software Table of Contents Overview 1 SICAM Enrollment over Secure Transport (EST) 2 GridPass SICAM GridPass 3 V1.50 Workflow Step-by-Step 4 User Management 5 Manual Certificate Management 6 Managing EST 7 Other Features 8 Glossary A E50417-H8940-C598-A6 NOTE i For your own safety, observe the warnings and safety instructions contained in this document, if available. Disclaimer of Liability Copyright Subject to changes and errors. The information given in Copyright © Siemens 2018 – 2020. All rights reserved. this document only contains general descriptions and/or The disclosure, duplication, distribution and editing of this performance features which may not always specifically document, or utilization and communication of the content reflect those described, or which may undergo modifica- are not permitted, unless authorized in writing. All rights, tion in the course of further development of the products. including rights created by patent grant or registration of a The requested performance features are binding only when utility model or a design, are reserved. they are expressly agreed upon in the concluded contract. Document version: E50417-H8940-C598-A6.01 Trademarks Edition: 05.2020 SIPROTEC, DIGSI, SIGRA, SIGUARD, SIMEAS SAFIR, SICAM, Version of the product described: V1.50 and MindSphere are trademarks of Siemens. Any unauthor- ized use is prohibited. Open Source Software The product contains, among other things, Open Source Software developed by third parties. The Open Source Software used in the product and the license agreements concerning this software can be found in the Readme_OSS. These Open Source Software files are protected by copyright. Your compliance with those license conditions will entitle you to use the Open Source Software as foreseen in the relevant license. -
Scalable Cloud Computing
Scalable Cloud Computing Keijo Heljanko Department of Computer Science and Engineering School of Science Aalto University [email protected] 2.10-2013 Mobile Cloud Computing - Keijo Heljanko (keijo.heljanko@aalto.fi) 1/57 Guest Lecturer I Guest Lecturer: Assoc. Prof. Keijo Heljanko, Department of Computer Science and Engineering, Aalto University, I Email: [email protected] I Homepage: https://people.aalto.fi/keijo_heljanko I For more info into today’s topic, attend the course: “T-79.5308 Scalable Cloud Computing” Mobile Cloud Computing - Keijo Heljanko (keijo.heljanko@aalto.fi) 2/57 Business Drivers of Cloud Computing I Large data centers allow for economics of scale I Cheaper hardware purchases I Cheaper cooling of hardware I Example: Google paid 40 MEur for a Summa paper mill site in Hamina, Finland: Data center cooled with sea water from the Baltic Sea I Cheaper electricity I Cheaper network capacity I Smaller number of administrators / computer I Unreliable commodity hardware is used I Reliability obtained by replication of hardware components and a combined with a fault tolerant software stack Mobile Cloud Computing - Keijo Heljanko (keijo.heljanko@aalto.fi) 3/57 Cloud Computing Technologies A collection of technologies aimed to provide elastic “pay as you go” computing I Virtualization of computing resources: Amazon EC2, Eucalyptus, OpenNebula, Open Stack Compute, . I Scalable file storage: Amazon S3, GFS, HDFS, . I Scalable batch processing: Google MapReduce, Apache Hadoop, PACT, Microsoft Dryad, Google Pregel, Spark, ::: I Scalable datastore: Amazon Dynamo, Apache Cassandra, Google Bigtable, HBase,. I Distributed Coordination: Google Chubby, Apache Zookeeper, . I Scalable Web applications hosting: Google App Engine, Microsoft Azure, Heroku, . -
Third Party Software Component List: Targeted Use: Briefcam® Fulfillment of License Obligation for All Open Sources: Yes
Third Party Software Component List: Targeted use: BriefCam® Fulfillment of license obligation for all open sources: Yes Name Link and Copyright Notices Where Available License Type OpenCV https://opencv.org/license.html 3-Clause Copyright (C) 2000-2019, Intel Corporation, all BSD rights reserved. Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved. Copyright (C) 2009-2016, NVIDIA Corporation, all rights reserved. Copyright (C) 2010-2013, Advanced Micro Devices, Inc., all rights reserved. Copyright (C) 2015-2016, OpenCV Foundation, all rights reserved. Copyright (C) 2015-2016, Itseez Inc., all rights reserved. Apache Logging http://logging.apache.org/log4cxx/license.html Apache Copyright © 1999-2012 Apache Software Foundation License V2 Google Test https://github.com/abseil/googletest/blob/master/google BSD* test/LICENSE Copyright 2008, Google Inc. SAML 2.0 component for https://github.com/jitbit/AspNetSaml/blob/master/LICEN MIT ASP.NET SE Copyright 2018 Jitbit LP Nvidia Video Codec https://github.com/lu-zero/nvidia-video- MIT codec/blob/master/LICENSE Copyright (c) 2016 NVIDIA Corporation FFMpeg 4 https://www.ffmpeg.org/legal.html LesserGPL FFmpeg is a trademark of Fabrice Bellard, originator v2.1 of the FFmpeg project 7zip.exe https://www.7-zip.org/license.txt LesserGPL 7-Zip Copyright (C) 1999-2019 Igor Pavlov v2.1/3- Clause BSD Infralution.Localization.Wp http://www.codeproject.com/info/cpol10.aspx CPOL f Copyright (C) 2018 Infralution Pty Ltd directShowlib .net https://github.com/pauldotknopf/DirectShow.NET/blob/ LesserGPL -
Tests Deploys Uppy Is a Sleek, Modular Javascript File Uploader
Uppy npm v1.27.0 Tests Tests passing Companion passing End-to-end tests failing Deploys CDN passing Companion Deploy failing Deploy uppy.io passing Uppy is a sleek, modular JavaScript file uploader that integrates seamlessly with any application. It’s fast, easy to use and lets you worry about more important problems than building a file uploader. Fetch files from local disk, remote URLs, Google Drive, Dropbox, Box, Instagram or snap and record selfies with a camera Preview and edit metadata with a nice interface Upload to the final destination, optionally process/encode Read the docs | Try Uppy Uppy is being developed by the folks at Transloadit, a versatile file encoding service. Example Code used in the above example: const Uppy = require('@uppy/core') const Dashboard = require('@uppy/dashboard') const GoogleDrive = require('@uppy/google-drive') const Instagram = require('@uppy/instagram') const Webcam = require('@uppy/webcam') const Tus = require('@uppy/tus') const uppy = new Uppy({ autoProceed: false }) .use(Dashboard, { trigger: '#select-files' }) .use(GoogleDrive, { target: Dashboard, companionUrl: 'https://companion.uppy.io .use(Instagram, { target: Dashboard, companionUrl: 'https://companion.uppy.io' .use(Webcam, { target: Dashboard }) .use(Tus, { endpoint: 'https://tusd.tusdemo.net/files/' }) .on('complete', (result) => { console.log('Upload result:', result) }) Try it online or read the docs for more details on how to use Uppy and its plugins. Features Lightweight, modular plugin-based architecture, easy on dependencies :zap: -
The Dawn of Digital Industries Mindsphere Enables New Digital Transformations
The Dawn of Digital Industries MindSphere Enables New Digital Transformations A Frost & Sullivan White Paper Karthik Sundaram frost.com Introduction .....................................................................................................................................................................3 Converging ICT-OT Environments ........................................................................................................................................3 Benefits of the ICT-OT Convergence .........................................................................................................................3 Rising Importance of Openness and Heterogeneity in Digital Platforms .................................................................4 Evolving Business Models ......................................................................................................................................................4 Challenges behind Adoption of Digital Platforms ............................................................................................................6 The Dawn of Digital Industries ....................................................................................................................................7 Current State of Digitalization in Manufacturing ...........................................................................................................7 Approach to Digitalization ....................................................................................................................................................9 -
Fremdstoffe Bekennen Farbe Seite 20 Automatisierte Kolorimetrische Flüssigkeitsanalayse Erhöht Prozesssicherheit
DASAUTOMATION FACHMAGAZIN FÜR MASCHINENBAU, ANLAGENBAU UND PRODUZENTEN | 1/MÄRZ 19 | AUTOMATION.AT SPECIAL HMIxx 84xxxx – 113 xx-xx ENDRESS+HAUSER FREMDSTOFFE BEKENNEN FARBE SEITE 20 AUTOMATISIERTE KOLORIMETRISCHE FLÜSSIGKEITSANALAYSE ERHÖHT PROZESSSICHERHEIT HANNOVER MESSE 2019 84 SEW-EURODRIVE 12 UND 108 Zum Leitthema „Integrated Industry – Industrial Am Beispiel einer realen Automobilfertigung Intelligence“ präsentieren rund 6.500 Aussteller zeigt SEW-Eurodrive auf der HMI die digitale aus aller Welt ihre Produkte und Leistungen auf Transformation in der Antriebstechnik. der HMI vom 01. bis 05. April 2019. Druckmessung Verrückt! Oder wie wir sagen: SITRANS P – eine schrecklich präzise Familie. Siemens Prozessinstrumentierung – messen, was wirklich wichtig ist. In der SITRANS P Familie sind alle echte Profis: Die zuverlässigen Messgeräte liefern exakte Ergebnisse, halten jedem Druck und hohen Temperaturen stand und sind speziell auf Ihre Bedürfnisse angepasst. Von Basic bis High-End lassen sich alle Geräte nahtlos in Ihr Leitsystem integrieren. Mit der neuen Generation legen wir noch weitere Vorteile drauf: Der SITRANS P320 ist der Nachfolger unseres berühmten DSIII. Der SITRANS P420 ergänzt das Vorgängermodell P410 um zusätzliche Funktionen – für noch mehr Messmöglichkeiten auf höchs- tem Niveau. Die neue Generation steigert Ihre Produktivität und ermöglicht die SIL-Inbetriebnahme berührungs- los aus der Warte. Sie behalten Ihre Daten immer fest im Blick. Sicher, schnell und einfach – dank SIL-by-Design, kürzerer Response Time und intuitiver -
** OPEN SOURCE LIBRARIES USED in Tv.Verizon.Com/Watch
** OPEN SOURCE LIBRARIES USED IN tv.verizon.com/watch ------------------------------------------------------------ 02/27/2019 tv.verizon.com/watch uses Node.js 6.4 on the server side and React.js on the client- side. Both are Javascript frameworks. Below are the licenses and a list of the JS libraries being used. ** NODE.JS 6.4 ------------------------------------------------------------ https://github.com/nodejs/node/blob/master/LICENSE Node.js is licensed for use as follows: """ Copyright Node.js contributors. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ This license applies to parts of Node.js originating from the https://github.com/joyent/node repository: """ Copyright Joyent, Inc. and other Node contributors. -
Zookeeper Administrator's Guide
ZooKeeper Administrator's Guide A Guide to Deployment and Administration by Table of contents 1 Deployment........................................................................................................................ 2 1.1 System Requirements....................................................................................................2 1.2 Clustered (Multi-Server) Setup.....................................................................................2 1.3 Single Server and Developer Setup..............................................................................4 2 Administration.................................................................................................................... 4 2.1 Designing a ZooKeeper Deployment........................................................................... 5 2.2 Provisioning.................................................................................................................. 6 2.3 Things to Consider: ZooKeeper Strengths and Limitations..........................................6 2.4 Administering................................................................................................................6 2.5 Maintenance.................................................................................................................. 6 2.6 Supervision....................................................................................................................7 2.7 Monitoring.....................................................................................................................8 -
AUTOMATIC DESIGN of NONCRYPTOGRAPHIC HASH FUNCTIONS USING GENETIC PROGRAMMING, Computational Intelligence, 4, 798– 831
Universidad uc3m Carlos Ill 0 -Archivo de Madrid This is a postprint version of the following published document: Estébanez, C., Saez, Y., Recio, G., and Isasi, P. (2014), AUTOMATIC DESIGN OF NONCRYPTOGRAPHIC HASH FUNCTIONS USING GENETIC PROGRAMMING, Computational Intelligence, 4, 798– 831 DOI: https://doi.org/10.1111/coin.12033 © 2014 Wiley Periodicals, Inc. AUTOMATIC DESIGN OF NONCRYPTOGRAPHIC HASH FUNCTIONS USING GENETIC PROGRAMMING CESAR ESTEBANEZ, YAGO SAEZ, GUSTAVO RECIO, AND PEDRO ISASI Department of Computer Science, Universidad Carlos III de Madrid, Madrid, Spain Noncryptographic hash functions have an immense number of important practical applications owing to their powerful search properties. However, those properties critically depend on good designs: Inappropriately chosen hash functions are a very common source of performance losses. On the other hand, hash functions are difficult to design: They are extremely nonlinear and counterintuitive, and relationships between the variables are often intricate and obscure. In this work, we demonstrate the utility of genetic programming (GP) and avalanche effect to automatically generate noncryptographic hashes that can compete with state-of-the-art hash functions. We describe the design and implementation of our system, called GP-hash, and its fitness function, based on avalanche properties. Also, we experimentally identify good terminal and function sets and parameters for this task, providing interesting information for future research in this topic. Using GP-hash, we were able to generate two different families of noncryptographic hashes. These hashes are able to compete with a selection of the most important functions of the hashing literature, most of them widely used in the industry and created by world-class hashing experts with years of experience. -
Open Source Used in Quantum SON Suite 18C
Open Source Used In Cisco SON Suite R18C Cisco Systems, Inc. www.cisco.com Cisco has more than 200 offices worldwide. Addresses, phone numbers, and fax numbers are listed on the Cisco website at www.cisco.com/go/offices. Text Part Number: 78EE117C99-185964180 Open Source Used In Cisco SON Suite R18C 1 This document contains licenses and notices for open source software used in this product. With respect to the free/open source software listed in this document, if you have any questions or wish to receive a copy of any source code to which you may be entitled under the applicable free/open source license(s) (such as the GNU Lesser/General Public License), please contact us at [email protected]. In your requests please include the following reference number 78EE117C99-185964180 Contents 1.1 argparse 1.2.1 1.1.1 Available under license 1.2 blinker 1.3 1.2.1 Available under license 1.3 Boost 1.35.0 1.3.1 Available under license 1.4 Bunch 1.0.1 1.4.1 Available under license 1.5 colorama 0.2.4 1.5.1 Available under license 1.6 colorlog 0.6.0 1.6.1 Available under license 1.7 coverage 3.5.1 1.7.1 Available under license 1.8 cssmin 0.1.4 1.8.1 Available under license 1.9 cyrus-sasl 2.1.26 1.9.1 Available under license 1.10 cyrus-sasl/apsl subpart 2.1.26 1.10.1 Available under license 1.11 cyrus-sasl/cmu subpart 2.1.26 1.11.1 Notifications 1.11.2 Available under license 1.12 cyrus-sasl/eric young subpart 2.1.26 1.12.1 Notifications 1.12.2 Available under license Open Source Used In Cisco SON Suite R18C 2 1.13 distribute 0.6.34 -
Talend Open Studio for Big Data Release Notes
Talend Open Studio for Big Data Release Notes 6.0.0 Talend Open Studio for Big Data Adapted for v6.0.0. Supersedes previous releases. Publication date July 2, 2015 Copyleft This documentation is provided under the terms of the Creative Commons Public License (CCPL). For more information about what you can and cannot do with this documentation in accordance with the CCPL, please read: http://creativecommons.org/licenses/by-nc-sa/2.0/ Notices Talend is a trademark of Talend, Inc. All brands, product names, company names, trademarks and service marks are the properties of their respective owners. License Agreement The software described in this documentation is licensed under the Apache License, Version 2.0 (the "License"); you may not use this software except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0.html. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. This product includes software developed at AOP Alliance (Java/J2EE AOP standards), ASM, Amazon, AntlR, Apache ActiveMQ, Apache Ant, Apache Avro, Apache Axiom, Apache Axis, Apache Axis 2, Apache Batik, Apache CXF, Apache Cassandra, Apache Chemistry, Apache Common Http Client, Apache Common Http Core, Apache Commons, Apache Commons Bcel, Apache Commons JxPath, Apache -
Node Js Require All Files in Directory
Node Js Require All Files In Directory Is Meryl undiscording or dormant when utter some scabbard transistorizing festively? Sometimes microbial Jess upraise her Northumbrians dynamically, but vitreous Rudolfo acidified unmercifully or overweens ethnologically. Rickie often pollute unconscionably when helmless Torry depredates wishfully and bluffs her exostosis. Cjs libraries like i pasted into modules in this wrapper for files in node all directory in the biggest challenge for This js processing units of all the require all files of an http servers, shahbaz badisha and mobile app? Mocha runs in the browser. It locally in the node js modules do its ecosystem is a post message to process for weekdays and grabbing them all files in node js files and dev bootcamps focus on. Importing a module in Node. The version number of Cypress. Or as some reason say accessing the file is relatively the simplest of all FS-related processes. Let me on unix that directory in here is required into the require some files with the exports object, you were implemented a js on. How to confirm your package or exists, so for loop above logging module once after the module name structure to work with ones that. The storefront for example using promise framework, or checkout with. This array of that are immediately detect errors back to maintain, and screen recorder web development also learn to. Files in node? Prepping for older versions manually when your project management and js file. Node js modules would their fake implementations removed mocha allows you. Follow their respective harmony flag, node js require all files in directory all code should be your directory will know which pieces of awareness, require some advice to.