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  Page 998 - Shaping smarter and more sustainable cities - Striving for sustainable development goals

 Page 998 - Shaping smarter and more sustainable cities - Striving for sustainable development goals           Basic HTML Version Table of Contents View Full Version Page 998 - Shaping smarter and more sustainable cities - Striving for sustainable development goals P. 998 Work area FG‐SSC SDO Document Corresponding Standardization Future needs deliver‐ working number document title gap in this area and suggestions able(s) on this released by this to SG5 related area SDO to this work area ISO 24534‐ Intelligent transport systems – 5:2011 Automatic vehicle and equip‐ ment identification – Electron‐ ic Registration Identification (ERI) for vehicles – Part 5: Secure communications using symmetrical techniques ISO 24535:2007 Intelligent transport systems – Automatic vehicle identifica‐ tion – Basic electronic regis‐ tration identification (Basic ERI) ISO 24978:2009 Intelligent transport systems – ITS Safety and emergency messages using any available wireless media – Data registry procedures ISO/TR Intelligent transport systems – 25100:2012 Systems architecture – Har‐ monization of ITS data con‐ cepts ISO/TR Intelligent transport systems – 25102:2008 System architecture – 'Use Case' pro‐forma template ISO/TR Intelligent transport systems – 25104:2008 System architecture, taxo‐ nomy, terminology and data modelling – Training require‐ ments for ITS architecture ISO/TS Electronic fee collection – 25110:2013 Interface definition for on‐ board account using integrat‐ ed circuit card (ICC) ISO 25111:2009 Intelligent transport systems – Communications access for land mobiles (CALM) – Gen‐ eral requirements for using public networks ISO 25112:2010 Intelligent transport systems – Communications access for land mobiles (CALM) – Mobile wireless broadband using IEEE 802.16 988 ITU‐T's Technical Reports and Specifications     993     994     995     996     997     998     999     1000     1001     1002     1003          

Score: 779514.26 - https://www.itu.int/en/publica.../files/basic-html/page998.html

  Page 475 - Shaping smarter and more sustainable cities - Striving for sustainable development goals

Many of the concepts which have been described briefly in this document may be found in documents such as the Technology Roadmap adopted by Industry Canada and subsequently updated and reissued through Continental Automated Building Association (CABA) which has been a market driver in the development of industry discussion and cooperation related to intelligent building technologies. 2.1 Subjective versus objective evaluation The objectives of intelligent buildings have been described in general terms but nevertheless there are often strenuous professional arguments as to what should be the primary objectives of an intelligent building. (...) With ever rising energy and labour costs it is obvious that if those costs can be kept in check, or preferably reduced, opportunities for financial savings will provide an immediate return on any extra investment of building an intelligent building. A building which is operated continuously e.g., a hospital, or which is operated by individuals who pay fees such as condominiums are less likely to see immediate benefits from the functions available in intelligent buildings. By contrast when the building is one which should respond rapidly to dramatic changes, clearly the intelligent building will respond more effectively.

Score: 778832.96 - https://www.itu.int/en/publica.../files/basic-html/page475.html

  Issue No. 1

Issue No. 1 Committed to connecting the world Search for: ITU About ITU Media Centre Events Publications Statistics Areas of Action Regional Presence Careers General Secretariat Radiocommunication Standardization Development ITU Telecom Members' Zone Join ITU Issue No. 1 Rollup Image You are here ITU > Home > ITU Journal > Issue No.1 Share Page Content 20 ​​ ​     The first special issue of the ITU Journal: ICT Discoveries  invited submissions to explore novel applications of Artificial Intelligence (AI) techniques that can improve the performance and efficiency of communication infrastructure, systems and components, create new services and ensure optimal user experience. (...) Publication date: March 2018 ISSN 2616-8375 Page Content 9 Page Content 10 Page Content 18 Page Content 19 Page Content 6 Page Content 7 Page Content 11 Page Content 12 INVITED PAPERS Page Content 2 Responsible Artificial Intelligence: Designing AI for Human Values Reconfigurable Processor for Deep Learning in Autonomous Vehicles Real-Time Monitoring of the Great Barrier Reef Using Internet of Things with Big Data Analytics Inclusion of Artificial Intelligence in Communication Networks and Services Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models The Convergence of Machine Learning and Communications Application of AI to Mobile Network Operation SELECTED PAPERS Page Content 3 On Adaptive Neuro-Fuzzy Model for Path Loss Prediction in the VHF Band Beyond MAD?: the Race for Artificial General Intelligence Artificial Intelligence for Place-Time Convolved Wireless Communication Networks Bayesian Online Learning-Based Spectrum Occupancy Prediction in Cognitive Radio Networks The Evolution of Fraud: Ethical Implications in the Age of Large-Scale Data Breaches and Widespread Artificial Intelligence Solutions Deployment Machine Intelligence Techniques for Next-Generation Context-Aware Wireless Networks  New Technology Brings New Opportunity for Telecommunication Carriers: Artificial Intelligent Applications and Practices in Telecom Operators Correlation and Dependence Analysis on Cyberthreat Alerts  Related information Page Content 4 Editor-in-Chief Associate Editors-in-Chief Outreach Chairman​ Call for Papers  [ PDF ] Contact Page Content 5 Contact Alessia Magliarditi at journal@itu.int Meet the ITU Editorial Team Page Content 13 Page Content 14 Page Content 15 Page Content 16 Follow us Twitter Facebook YouTube Flickr Linkedin Instagram Soundcloud Podcasts Spotify Spreaker TikTok © ITU All Rights Reserved Contact us Privacy notice Accessibility Report misconduct Back to top

Score: 778832.96 - https://www.itu.int/en/journal/001/Pages/default.aspx

  Issue No. 1

Issue No. 1 Committed to connecting the world Search for: ITU About ITU Media Centre Events Publications Statistics Areas of Action Regional Presence Careers General Secretariat Radiocommunication Standardization Development ITU Telecom Members' Zone Join ITU Issue No. 1 Rollup Image You are here ITU > Home > ITU Journal > Issue No.1 Share Page Content 20 ​​ ​     The first special issue of the ITU Journal: ICT Discoveries  invited submissions to explore novel applications of Artificial Intelligence (AI) techniques that can improve the performance and efficiency of communication infrastructure, systems and components, create new services and ensure optimal user experience. (...) Publication date: March 2018 ISSN 2616-8375 Page Content 9 Page Content 10 Page Content 18 Page Content 19 Page Content 6 Page Content 7 Page Content 11 Page Content 12 INVITED PAPERS Page Content 2 Responsible Artificial Intelligence: Designing AI for Human Values Reconfigurable Processor for Deep Learning in Autonomous Vehicles Real-Time Monitoring of the Great Barrier Reef Using Internet of Things with Big Data Analytics Inclusion of Artificial Intelligence in Communication Networks and Services Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models The Convergence of Machine Learning and Communications Application of AI to Mobile Network Operation SELECTED PAPERS Page Content 3 On Adaptive Neuro-Fuzzy Model for Path Loss Prediction in the VHF Band Beyond MAD?: the Race for Artificial General Intelligence Artificial Intelligence for Place-Time Convolved Wireless Communication Networks Bayesian Online Learning-Based Spectrum Occupancy Prediction in Cognitive Radio Networks The Evolution of Fraud: Ethical Implications in the Age of Large-Scale Data Breaches and Widespread Artificial Intelligence Solutions Deployment Machine Intelligence Techniques for Next-Generation Context-Aware Wireless Networks  New Technology Brings New Opportunity for Telecommunication Carriers: Artificial Intelligent Applications and Practices in Telecom Operators Correlation and Dependence Analysis on Cyberthreat Alerts  Related information Page Content 4 Editor-in-Chief Associate Editors-in-Chief Outreach Chairman​ Call for Papers  [ PDF ] Contact Page Content 5 Contact Alessia Magliarditi at journal@itu.int Meet the ITU Editorial Team Page Content 13 Page Content 14 Page Content 15 Page Content 16 Follow us Twitter Facebook YouTube Flickr Linkedin Instagram Soundcloud Podcasts Spotify Spreaker TikTok © ITU All Rights Reserved Contact us Privacy notice Accessibility Report misconduct Back to top

Score: 778832.96 - https://www.itu.int/en/journal/001/pages/default.aspx

  Att.1 - Draft Supplement ITU-T Y.sup.aisr: “Artificial Intelligence standardization roadmap”

isn=14037 · ITU-T E.AIQ : Artificial Intelligence (AI) is advanced computing that enables a machine to interact with its environment in an intelligent way. (...) In addition, applying the intelligent data processing functions by providing artificial intelligence (AI) technologies will provide enhanced networking capabilities for new emerging services and applications. (...) Thus, the main functionality of intelligent edge computing is collecting, processing, analysing the data and providing the values based on intelligent data processing.

Score: 778824.6 - https://www.itu.int/en/ITU-T/f...ents/all/FGAI4H-L-027-A01.docx

  Question 7

By combination with big data, artificial intelligence and machine learning related technologies, network awareness can be further enhanced. (...) Deep packet inspection and intelligent network-awareness can also be the generic core technologies and common building blocks for some application technologies which depend on deep packet inspection and intelligent network awareness tightly such as big data driven networking (bDDN). (...) Relationships Questions All big data related Questions. All artificial intelligent and machine learning related Questions.

Score: 778777.3 - https://www.itu.int/en/ITU-T/s...ups/2017-2020/13/Pages/q7.aspx

  Microsoft Word - Press Release_AccLab_CI_event_launch_060221.docx

“The challenge now is to sustain and scale-up this unprecedented innovation surge -- part of the solution lies in better harnessing the ‘collective intelligence’ distributed across local communities and organisations. (...) “Technology, like art, is a soaring exercise of the human imagination. The Collective Intelligence report is a means to utilize the promise of collective intelligence to help hasten development and urgently overturn the retrogressing trends on numerous SDGs. (...) The Sustainable Development Goals demand financial resources, and they equally require the mobilization of intelligence. This publication series is a call to make it standard practice to channel the innovations, knowledge and contributions of people across the globe, to get serious about the move toward real time data, and to find responsible ways of using artificial intelligence to elevate human intelligence.

Score: 778777.3 - https://www.undp.org/sites/g/f...26274cf5c56dc3c2f91270113f.pdf

  Collective Intelligence for Sustainable Development: 13 Stories from the UNDP Accelerator Labs | Uni

Collective Intelligence for Sustainable Development: 13 Stories from the UNDP Accelerator Labs | United Nations Development Programme Skip to main content Accelerator Labs What we do Where we are Our Learnings News Global Nav toggle Search What we do Where we are Our Learnings News English Locations 13 Stories from the UNDP Accelerator Labs pdf (13.9 MB) Home Accelerator Labs Our publications Collective Intelligence for Sustainable Development: 13 Stories from the UNDP Accelerator Labs Collective Intelligence for Sustainable Development: 13 Stories from the UNDP Accelerator Labs 13 Stories from the UNDP Accelerator Labs pdf (1MB) Download Collective Intelligence for Sustainable Development: 13 Stories from the UNDP Accelerator Labs May 13, 2021 Authors: Aleks Berditchevskaia, Kathy Peach, Gina Lucarelli, Mirko Ebelshaeuser. 13 Stories from the UNDP Accelerator Labs  is the second report as part of our Collective Intelligence for Sustainable Development series. (...) Examples from  Bosnia and Herzegovina ,  Colombia, Ecuador and  Guinea Bissau  show how collective intelligence has helped in the wake of the COVID-19 pandemic. (...) If we hope to get closer to achieving the global goals over the next decade, it will be necessary to mobilize intelligence of all kinds to better understand problems, broaden the range of effective solutions, and implement new ideas more effectively.

Score: 778349.3 - https://www.undp.org/accelerat...-stories-undp-accelerator-labs

  Page 94 - ITU KALEIDOSCOPE, ATLANTA 2019

Translation: Excerpts from China’s ‘White Paper on Artificial Intelligence [28] World Health Organization. (2015). (...) N., Pujari, S., Salathé, M., Wenzel, M. & Xu, S. Artificial Intelligence Standardization White Paper. (2019). WHO and ITU establish benchmarking Retrieved from process for artificial intelligence in health. (...) China Aims to Get the Jump on AI [30] IEEE Artificial Intelligence Medical Device Standardization. Synced.

Score: 778349.3 - https://www.itu.int/en/publica...e/files/basic-html/page94.html

  Page 773 - Cloud computing: From paradigm to operation

 Page 773 - Cloud computing: From paradigm to operation           Basic HTML Version Table of Contents View Full Version Page 773 - Cloud computing: From paradigm to operation P. 773 Video processing and storage 4 Step 2: After receiving the human recognition request, the IVS system authenticates the user information, requests the cloud computing platform to create the intelligent human recognition function, and then responds to the CU with the information from the intelligent human recognition function. (...) Then users send an intelligent video synopsis request to the IVS system. Step 2: After receiving the video synopsis request, the IVS system authenticates the user information, requests the cloud computing platform to create the intelligent video synopsis function and then responds to the CU with the information from the intelligent video synopsis function.

Score: 777238.7 - https://www.itu.int/en/publica.../files/basic-html/page773.html