BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Canada/Eastern BEGIN:DAYLIGHT DTSTART:20220313T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20221106T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20220511T180145Z UID:888D66A6-1BE1-4CAF-9A20-C5EDAAAF1E27 DTSTART;TZID=Canada/Eastern:20220504T160000 DTEND;TZID=Canada/Eastern:20220504T173000 DESCRIPTION:The Communications Group at the University of Toronto\, in coll aboration with the IEEE Communications Society\, Toronto Chapter are happy to host the seminar titled "Conceiving Noise: Transformation from Disturb ing Sounds to Informational Errors\, 1900-1955" given by Prof. Chen-Pang Y eang\, from the Institute for the History and Philosophy of Science and Te chnology\, University of Toronto.\n\nIn this talk\, Prof. Yeang examine th e historical origin of the attempts to understand\, control\, and use nois e at modern times. Today\, the concept of noise is employed to characteriz e random fluctuations in general. Before the twentieth century\, however\, noise only meant disturbing sounds. In the 1900s-50s\, noise underwent a conceptual transformation from unwanted sounds that needed to be domestica ted into a synonym for errors and deviations on all kinds of signals and i nformation. Prof. Yeang argue that this transformation proceeded in four s tages. The rise of sound reproduction technologies—phonograph\, telephon e\, and radio—in the 1900s-20s prompted engineers to tackle unwanted sou nds as physical effects of media through quantitative representations and measurements. Around the same time\, physicists developed a theory of Brow nian motions for random fluctuations and applied it to electronic noise in thermionic tubes of telecommunication systems. These technological and sc ientific backgrounds led to three distinct theoretical treatments of noise in the 1920s-30s: statistical physicists’ studies of Brownian fluctuati ons’ temporal evolution\, radio engineers’ spectral analysis of atmosp heric disturbances\, and mathematicians’ measure-theoretic formulation. Finally\, during and after World War II\, researchers working on the milit ary projects of radar\, gunfire control\, and secret communications conver ted the interwar theoretical studies of noise into tools for statistical d etection\, estimation\, prediction\, and information transmission. In so d oing\, they turned noise into an informational concept. Since the grapplin g of noise involved multiple disciplines\, its history sheds light on the interactions between physics\, mathematics\, mechanical technology\, elect rical engineering\, and information and data sciences in the twentieth cen tury.\n\nSpeaker(s): Prof. Chen-Pang Yeang\, \n\nVirtual: https://events. vtools.ieee.org/m/313075 LOCATION:Virtual: https://events.vtools.ieee.org/m/313075 ORGANIZER:Toronto_Chapter@comsoc.org SEQUENCE:7 SUMMARY:Conceiving Noise: Transformation from Disturbing Sounds to Informat ional Errors\, 1900-1955 URL;VALUE=URI:https://events.vtools.ieee.org/m/313075 X-ALT-DESC:Description: <br /><p><strong>The Communications Group at the Un iversity of Toronto</strong>\, in collaboration with the <strong>IEEE Comm unications Society\, Toronto Chapter </strong>are happy to host the semina r titled "<strong>Conceiving Noise: Transformation from Disturbing Sounds to Informational Errors\, 1900-1955</strong>" given by Prof. Chen-Pang Yea ng\, from the <em>Institute for the History and Philosophy of Science and Technology</em>\, <em>University of Toronto</em>.</p>\n<p>In this talk\, P rof. Yeang examine the historical origin of the attempts to understand\, c ontrol\, and use noise at modern times. &nbsp\;Today\, the concept of nois e is employed to characterize random fluctuations in general. &nbsp\;Befor e the twentieth century\, however\, noise only meant disturbing sounds. &n bsp\;In the 1900s-50s\, noise underwent a conceptual transformation from u nwanted sounds that needed to be domesticated into a synonym for errors an d deviations on all kinds of signals and information. Prof. Yeang argue th at this transformation proceeded in four stages. &nbsp\;The rise of sound reproduction technologies&mdash\;phonograph\, telephone\, and radio&mdash\ ;in the 1900s-20s prompted engineers to tackle unwanted sounds as physical effects of media through quantitative representations and measurements. & nbsp\;Around the same time\, physicists developed a theory of Brownian mot ions for random fluctuations and applied it to electronic noise in thermio nic tubes of telecommunication systems. &nbsp\;These technological and sci entific backgrounds led to three distinct theoretical treatments of noise in the 1920s-30s: statistical physicists&rsquo\; studies of Brownian fluct uations&rsquo\; temporal evolution\, radio engineers&rsquo\; spectral anal ysis of atmospheric disturbances\, and mathematicians&rsquo\; measure-theo retic formulation. &nbsp\;Finally\, during and after World War II\, resear chers working on the military projects of radar\, gunfire control\, and se cret communications converted the interwar theoretical studies of noise in to tools for statistical detection\, estimation\, prediction\, and informa tion transmission. &nbsp\;In so doing\, they turned noise into an informat ional concept. &nbsp\;Since the grappling of noise involved multiple disci plines\, its history sheds light on the interactions between physics\, mat hematics\, mechanical technology\, electrical engineering\, and informatio n and data sciences in the twentieth century.</p> END:VEVENT END:VCALENDAR