BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Pacific BEGIN:DAYLIGHT DTSTART:20210314T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20211107T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20210920T161313Z UID:0E5E976E-5903-48FD-BABB-23A7150C4ECF DTSTART;TZID=US/Pacific:20210916T080000 DTEND;TZID=US/Pacific:20210916T090000 DESCRIPTION:Welcome to the [SPS Seasonal School](https://signalprocessingso ciety.org/blog/2021-ieee-sps-seasonal-school-signal-processing-and-communi cation-systems-5g) on Signal Processing and Communication Systems for 5G. The jointly\, internationally\, organized by IEEE Vizag Bay Section [Commu nications Society & SPS](https://r10.ieee.org/vizagbay/) Joint Chapter\, V izag\, India\, IEEE Long Island Section ([SPS](http://www.ieee.li/sp)) Cha pter\, New York\, USA\, and IEEE [Finland SP/CAS](https://site.ieee.org/fi nland/) Chapter\, Finland presents the following technical lecture:\n\nAbs tract:\n\nComputer vision and machine learning technology have advanced co nsiderably in the past few years and are now being fused together to creat e a Smarter World of solutions that will soon improve our lives. For examp le\, collectively retail stores lose billions of dollars annually\, the Na tional Retail Federation estimates that it was up to $60B in 2019. From Sm art Cities to Factories\, Hospitals and Buildings\, our world is experienc ing an explosion of computational power being applied to real-time video a nalytics. Imagine a missing child is spotted by a SmartCity application an d returned to their parents. In a hospital setting\, the application monit oring the cameras in patient’s room alerts the staff to a critical situa tion minutes or even seconds earlier. However\, the entire end-to-end pipe line needs to be built for supporting low latency and low power for the ed ge where Smart city applications reside. Wireless 5G networks provide the fabric on which the video and AI/ML-driven computations and results travel . With latency targets for these smart technologies in the 10s of millisec onds\, no other broadband network is up to the task. ML and video\, combin ed with 5G\, are making the Smart City solution deployable and more cost e ffective. In this presentation\, we will discuss what technologies are ava ilable to build the optimal Smart City solutions and what the differences are.\n\nSpeaker(s): Dr. Seong Hwan Kim \, \n\nVirtual: https://events.vtoo ls.ieee.org/m/268265 LOCATION:Virtual: https://events.vtools.ieee.org/m/268265 ORGANIZER:signal@ieee.li SEQUENCE:12 SUMMARY:Building low latency and low power SmartCity Applications URL;VALUE=URI:https://events.vtools.ieee.org/m/268265 X-ALT-DESC:Description: <br /><p>Welcome to the <a href="https://signalproc essingsociety.org/blog/2021-ieee-sps-seasonal-school-signal-processing-and -communication-systems-5g">SPS Seasonal School</a> on Signal Processing an d Communication Systems for 5G. The jointly\, internationally\, organized by IEEE Vizag Bay Section <a href="https://r10.ieee.org/vizagbay/">Communi cations Society &amp\; SPS</a> Joint Chapter\, Vizag\, India\, IEEE Long I sland Section&nbsp\;(<a href="http://www.ieee.li/sp">SPS</a>)&nbsp\;Chapte r\, New York\, USA\, and IEEE <a href="https://site.ieee.org/finland/">Fin land SP/CAS</a> Chapter\, Finland presents the following technical lecture :</p>\n<p>Abstract:</p>\n<p class="Body">Computer vision and machine learn ing technology have advanced considerably in the past few years and are no w being fused together to create a Smarter World of solutions that will so on improve our lives. For example\, collectively retail stores lose billio ns of dollars annually\, the National Retail Federation estimates that it was up to $60B in 2019. From Smart Cities to Factories\, Hospitals and Bui ldings\, our world is experiencing an explosion of computational power bei ng applied to real-time video analytics. Imagine a missing child is spotte d by a SmartCity application and returned to their parents. In a hospital setting\, the application monitoring the cameras in patient&rsquo\;s room alerts the staff to a critical situation minutes or even seconds earlier. However\, the entire end-to-end pipeline needs to be built for supporting low latency and low power for the edge where Smart city applications resid e.&nbsp\;Wireless 5G networks provide the fabric on which the video and AI /ML-driven computations and results travel. With latency targets for these smart technologies in the 10s of milliseconds\, no other broadband networ k is up to the task.&nbsp\;ML and video\, combined with 5G\, are making th e Smart City solution deployable and more cost effective. In this presenta tion\, we will discuss what technologies are available to build the optima l Smart City solutions and what the differences are.</p> END:VEVENT END:VCALENDAR