BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Chicago BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0600 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:CDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0600 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:CST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250225T003904Z UID:DA8A53B4-E0ED-47FA-9538-43D9498047D9 DTSTART;TZID=America/Chicago:20250222T100000 DTEND;TZID=America/Chicago:20250222T130000 DESCRIPTION:Join the Fox Valley Subsection for a meeting with the College o f Dupage Computer club. The event will have 2 speakers from the Computer S ociety\, and will end with a tour of the COD VR lab.\n\nAgenda:\n\n- 10am: welcome and introductions\n- Intro to the IEEE Computer Society\n- Intro to the COD Computer Program\n\n- 10:15am: First Topic\n- 11:00am: Break\n- 11:15am: Second topic\n- 12N: Lunch/networking. Box lunches provided\n- 1 pm: Tour of COD Motion Capture Labs and facilities\n\nFirst Topic: World-W ide Camera Networks (Machine Vision)\n\nMore than 80% consumer Internet tr affic is for videos and most of them are recorded videos. Meanwhile\, many organizations (such as national parks\, vacation resorts\, departments of transportation) provide real-time visual data (images or videos). These v ideos allow Internet users to observe events remotely. This speech explain s how to discover real-time visual data on the Internet. The discovery pro cess uses a crawler to reach many web pages. The information on these web pages are analyzed to identify candidates of real-time data. The data is d ownloaded multiple times over an extended time period\; changes are detect ed to determine whether it is likely to provide real-time data. The data c an be used during an emergency. For example\, viewers may check whether a street is flooded and cannot pass. It is also possible using the data to o bserve long-term trends\, such as how people react to movement restriction s during the COVID pandemic. In addition to network cameras\, this speech will also include Dr. Lu’s recent work on technology for musicians: how to use computer vision to detect unhealthy postures and how to use machine learning to detect musicians’ mistakes.\n\nBiography: Yung-Hsiang Lu is a professor at the Elmore Family School of Electrical and Computer Engine ering of Purdue University. He is a University Faculty Scholar of Purdue U niversity. He is a fellow of the IEEE (2021)\, ACM Distinguished Scientist (2013)\, and ACM Distinguished Speaker (2013). In 2020-2022\, he was the director of the John Martinson Engineering Entrepreneurial Center at Purdu e University. His research topics include artificial intelligence\, effici ent computer vision for embedded systems\, cloud and mobile computing\, mu sic technology. He is the lead organizer of the IEEE Low-Power Computer Vi sion Challenge since 2015. He has published two books: Intermediate C Prog ramming (ISBN 9781032189819) and Low-Power Computer Vision: Improve the Ef ficiency of Artificial Intelligence (editor\, ISBN 9780367744700).\n\nSeco nd Topic: Embracing AI Technology in Musical Performance\n\nArtificial int elligence has demonstrated impressive progress in music. Generative AI can compose new music when preferred styles and genres are entered. As a stri ng music performer\, Yun has been exploring possibilities for taking advan tage of the emerging AI technology in music performance. In this lecture\, Yun will introduce three of her current projects which examine AI’s abi lity to create a more immersive sensory experience\, transform how music p erformers practice and illustrate the advancement of robot technology thro ugh the incorporation of musicians’ performance movements.\n\nBiography: Kristen Yeon-Ji Yun\, clinical associate professor of music in the Colleg e of Liberal Arts\, is active as a soloist\, chamber musician\, musical sc holar and clinician. Her CD “Summerland — Music for Cello and Piano by Composers of African Descent” received positive reviews from New Classi cs UK and American Record Guide. It was broadcast nationwide by radio stat ions such as WQXR\, WCNY\, WBAA and NPR’s Sonatas and Soundscapes. Her d ynamic career includes receiving a grant from the National Science Foundat ion for the project “Artificial Intelligence Technology for Future Music Performers.”\n\nAfter the meeting we will be taking a tour of the new M otion Capture studio at COD.\n\nAgenda: \nAgenda:\n\n- 10am: welcome and i ntroductions\n- Intro to the IEEE Computer Society\n- Intro to the COD Com puter Program\n\n- 10:15am: First Topic\n- 11:00am: Break\n- 11:15am: Seco nd topic\n- 12N: Lunch/networking. Box lunches provided\n- 1pm: Tour of CO D VR Labs and facilities\n\nRoom: 1437\, Bldg: Rodney K Berg Instructional Center (BIC)\, 425 Fawell Blvd\, Glen Ellyn\, Illinois\, United States\, 60137 LOCATION:Room: 1437\, Bldg: Rodney K Berg Instructional Center (BIC)\, 425 Fawell Blvd\, Glen Ellyn\, Illinois\, United States\, 60137 ORGANIZER:robert.burke@ieee.org SEQUENCE:86 SUMMARY:IEEE Fox Valley Subsection: Computer Vision/AI for Musicians URL;VALUE=URI:https://events.vtools.ieee.org/m/462797 X-ALT-DESC:Description: <br /><p>Join the Fox Valley Subsection for a meeti ng with the College of Dupage Computer club.&nbsp\; &nbsp\;The event will have 2 speakers from the Computer Society\, and will end with a tour of th e COD VR lab.</p>\n<p>Agenda:</p>\n<ul>\n<li>10am: welcome and introductio ns&nbsp\;\n<ul>\n<li>Intro to the IEEE Computer Society</li>\n<li>Intro to the COD Computer Program&nbsp\;</li>\n</ul>\n</li>\n<li>10:15am:&nbsp\; F irst Topic</li>\n<li>11:00am: Break</li>\n<li>11:15am: Second topic</li>\n <li>12N: Lunch/networking.&nbsp\; Box lunches provided</li>\n<li>1pm: Tour of COD Motion Capture Labs and facilities</li>\n</ul>\n<p><strong>First T opic:&nbsp\; &nbsp\;World-Wide Camera Networks (Machine Vision)</strong></ p>\n<p>More than 80% consumer Internet traffic is for videos and most of t hem are recorded videos. Meanwhile\, many organizations (such as national parks\, vacation resorts\, departments of transportation) provide real-tim e visual data (images or videos). These videos allow Internet users to obs erve events remotely. This speech explains how to discover real-time visua l data on the Internet. The discovery process uses a crawler to reach many web pages. The information on these web pages are analyzed to identify ca ndidates of real-time data. The data is downloaded multiple times over an extended time period\; changes are detected to determine whether it is lik ely to provide real-time data. The data can be used during an emergency. F or example\, viewers may check whether a street is flooded and cannot pass . It is also possible using the data to observe long-term trends\, such as how people react to movement restrictions during the COVID pandemic. In a ddition to network cameras\, this speech will also include Dr. Lu&rsquo\;s recent work on technology for musicians: how to use computer vision to de tect unhealthy postures and how to use machine learning to detect musician s&rsquo\; mistakes.</p>\n<p>Biography: Yung-Hsiang Lu is a professor at th e Elmore Family School of Electrical and Computer Engineering of Purdue Un iversity. He is a University Faculty Scholar of Purdue University. &nbsp\; He is a fellow of the IEEE (2021)\, ACM Distinguished Scientist (2013)\, a nd ACM Distinguished Speaker (2013). In 2020-2022\, he was the director of the John Martinson Engineering Entrepreneurial Center at Purdue Universit y. His research topics include artificial intelligence\, efficient compute r vision for embedded systems\, cloud and mobile computing\, music technol ogy. He is the lead organizer of the IEEE Low-Power Computer Vision Challe nge since 2015. He has published two books: Intermediate C Programming (IS BN 9781032189819) and Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence (editor\, ISBN 9780367744700).</p>\n<p><strong>Se cond Topic:&nbsp\; Embracing AI Technology in Musical Performance</strong> </p>\n<p>Artificial intelligence has demonstrated impressive progress in m usic. Generative AI can compose new music when preferred styles and genres are entered. As a string music performer\, Yun has been exploring possibi lities for taking advantage of the emerging AI technology in music perform ance. In this lecture\, Yun will introduce three of her current projects w hich examine AI&rsquo\;s ability to create a more immersive sensory experi ence\, transform how music performers practice and illustrate the advancem ent of robot technology through the incorporation of musicians&rsquo\; per formance movements.</p>\n<p>Biography: Kristen Yeon-Ji Yun\, clinical asso ciate professor of music in the College of Liberal Arts\, is active as a s oloist\, chamber musician\, musical scholar and clinician. Her CD &ldquo\; Summerland &mdash\; Music for Cello and Piano by Composers of African Desc ent&rdquo\; received positive reviews from New Classics UK and American Re cord Guide. It was broadcast nationwide by radio stations such as WQXR\, W CNY\, WBAA and NPR&rsquo\;s Sonatas and Soundscapes. Her dynamic career in cludes receiving a grant from the National Science Foundation for the proj ect &ldquo\;Artificial Intelligence Technology for Future Music Performers .&rdquo\;</p>\n<p>&nbsp\;</p>\n<p>After the meeting we will be taking a to ur of the new Motion Capture studio at COD.&nbsp\;&nbsp\;</p>\n<p>&nbsp\;< /p><br /><br />Agenda: <br /><p>Agenda:</p>\n<ul>\n<li>10am: welcome and i ntroductions&nbsp\;\n<ul>\n<li>Intro to the IEEE Computer Society</li>\n<l i>Intro to the COD Computer Program&nbsp\;</li>\n</ul>\n</li>\n<li>10:15am :&nbsp\; First Topic</li>\n<li>11:00am: Break</li>\n<li>11:15am: Second to pic</li>\n<li>12N: Lunch/networking.&nbsp\; Box lunches provided</li>\n<li >1pm: Tour of COD VR Labs and facilities</li>\n</ul> END:VEVENT END:VCALENDAR