BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Shanghai BEGIN:STANDARD DTSTART:19910915T010000 TZOFFSETFROM:+0900 TZOFFSETTO:+0800 TZNAME:CST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20191021T190815Z UID:1466EA3E-3A6F-48A6-B1DB-5296D97F7BE1 DTSTART;TZID=Asia/Shanghai:20191025T080000 DTEND;TZID=Asia/Shanghai:20191027T180000 DESCRIPTION:The IEEE Computer Society - AI and Smart Manufacturing Plenary is designed to provide the opportunity for standards development group par ticipants to coordinate and collaborate across several standards developme nt projects within a similar technology space while being a platform for f ocused technical discussion and continued development of draft standards.\ n\nThe following IEEE Computer Society working groups are expected to meet at this plenary:\n\n- [P2671](https://development.standards.ieee.org/P102 5300033/par)Standard for General Requirements of Online Detection Based on Machine Vision in Intelligent Manufacturing\n- [P2806](https://developmen t.standards.ieee.org/P1096800033/par)System Architecture of Digital Repres entation for Physical Objects in Factory Environments\n- [P2807](https://d evelopment.standards.ieee.org/P1096600033/par)Framework of Knowledge Graph s\n- [P2807.1](https://development.standards.ieee.org/P1136100033/par)Stan dard for Technical Requirements and Evaluating Knowledge Graphs\n- [P2830] (https://development.standards.ieee.org/P1134100033/par)Standard for Techn ical Framework and Requirements of Shared Machine Learning\n- [P2841](http s://development.standards.ieee.org/P1139200033/par)Framework and Process f or Deep Learning Evaluation\n- [P2842](https://development.standards.ieee. org/P1137300033/par) Recommended Practice for Secure Multi-party Computati on\n- [P3652.1](https://development.standards.ieee.org/P1086300033/par)Gui de for Architectural Framework and Application of Federated Machine Learni ng\n\nAgenda: \nHotel name: Beijing Sichuan Longzhaoshu Hotel\n\nAddress: No.312\, Xiaohongmen Road\, Chaoyang District\, Beijing 100164\n\nBldg: Be ijing Sichuan Longzhaoshu Hotel\, No.312\, Xiaohongmen Road\, Chaoyang Dis trict\, Beijing\, Beijing\, China\, 100164 LOCATION:Bldg: Beijing Sichuan Longzhaoshu Hotel\, No.312\, Xiaohongmen Roa d\, Chaoyang District\, Beijing\, Beijing\, China\, 100164 ORGANIZER:goldberg.j@ieee.org SEQUENCE:14 SUMMARY:IEEE Computer Society - AI and Smart Manufacturing Plenary URL;VALUE=URI:https://events.vtools.ieee.org/m/203479 X-ALT-DESC:Description: <br /><p>The&nbsp\;IEEE Computer Society - AI and S mart Manufacturing Plenary is designed to provide the opportunity for stan dards development group participants to coordinate and collaborate across several standards development projects within a similar technology space w hile being a platform for focused technical discussion and continued devel opment of draft standards.</p>\n<p>The following IEEE Computer Society wor king groups are expected to meet at this plenary:</p>\n<ul>\n<li><a href=" https://development.standards.ieee.org/P1025300033/par" target="_blank" re l="noopener noreferrer" data-saferedirecturl="https://www.google.com/url?q =https://development.standards.ieee.org/P1025300033/par&amp\;source=gmail& amp\;ust=1567712504528000&amp\;usg=AFQjCNHAVXhZ1nhbMpTLINJjPzzP-xb5ig">P26 71&nbsp\;</a>Standard for General Requirements of Online Detection Based o n Machine Vision in Intelligent Manufacturing</li>\n<li><a href="https://d evelopment.standards.ieee.org/P1096800033/par" target="_blank" rel="noopen er noreferrer" data-saferedirecturl="https://www.google.com/url?q=https:// development.standards.ieee.org/P1096800033/par&amp\;source=gmail&amp\;ust= 1567712504528000&amp\;usg=AFQjCNHlgwSp7IjpOSmq6XaDKL1Qa9jiuQ">P2806&nbsp\; </a>System Architecture of Digital Representation for Physical Objects in Factory Environments</li>\n<li><a href="https://development.standards.ieee .org/P1096600033/par" target="_blank" rel="noopener noreferrer" data-safer edirecturl="https://www.google.com/url?q=https://development.standards.iee e.org/P1096600033/par&amp\;source=gmail&amp\;ust=1567712504529000&amp\;usg =AFQjCNEX6TVSavprPDHvN1AUFYT5bjtQYw">P2807&nbsp\;</a>Framework of Knowledg e Graphs</li>\n<li><a href="https://development.standards.ieee.org/P113610 0033/par" target="_blank" rel="noopener noreferrer" data-saferedirecturl=" https://www.google.com/url?q=https://development.standards.ieee.org/P11361 00033/par&amp\;source=gmail&amp\;ust=1567712504529000&amp\;usg=AFQjCNF2Bo3 sS2OphUpJnZjgefFtD4HwPQ">P2807.1&nbsp\;</a>Standard for Technical Requirem ents and Evaluating Knowledge Graphs</li>\n<li><a href="https://developmen t.standards.ieee.org/P1134100033/par" target="_blank" rel="noopener norefe rrer" data-saferedirecturl="https://www.google.com/url?q=https://developme nt.standards.ieee.org/P1134100033/par&amp\;source=gmail&amp\;ust=156771250 4529000&amp\;usg=AFQjCNHhb-V4HRFYRKR3VMpysKF7Oy4otw">P2830&nbsp\;</a>Stand ard for Technical Framework and Requirements of Shared Machine Learning</l i>\n<li><a href="https://development.standards.ieee.org/P1139200033/par" t arget="_blank" rel="noopener noreferrer" data-saferedirecturl="https://www .google.com/url?q=https://development.standards.ieee.org/P1139200033/par&a mp\;source=gmail&amp\;ust=1567712504529000&amp\;usg=AFQjCNGnXf1ZA6YqGzMFo2 ytS2l6RxD8Vg">P2841&nbsp\;</a>Framework and Process for Deep Learning Eval uation</li>\n<li><a href="https://development.standards.ieee.org/P11373000 33/par">P2842</a> Recommended Practice for Secure Multi-party Computation< /li>\n<li><a href="https://development.standards.ieee.org/P1086300033/par" target="_blank" rel="noopener noreferrer" data-saferedirecturl="https://w ww.google.com/url?q=https://development.standards.ieee.org/P1086300033/par &amp\;source=gmail&amp\;ust=1567712504529000&amp\;usg=AFQjCNF6F6wXQiz2RC3h jZaqStGxmbDpqw">P3652.1&nbsp\;</a>Guide for Architectural Framework and Ap plication of Federated Machine Learning</li>\n</ul><br /><br />Agenda: <br /><div><strong>Hotel name</strong>: Beijing Sichuan Longzhaoshu Hotel</di v>\n<div>&nbsp\;</div>\n<div><strong>Address</strong>: No.312\, Xiaohongme n Road\, Chaoyang District\, Beijing 100164</div>\n<div>&nbsp\;</div>\n<di v>&nbsp\;</div> END:VEVENT END:VCALENDAR