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DTSTART:20221002T030000
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DTSTAMP:20220922T071846Z
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DTSTART;TZID=Australia/Sydney:20220920T093000
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DESCRIPTION:The main focus of 2022 IEEE sensors council's spring school is 
 on smart sensors based remote monitoring which includes health\, city and 
 environmental parameters. The lectures will concentrate on the application
 s of different sensors as well as intelligent computing (machine learning 
 and AI) and applications of internet of things. The first day will have a 
 series of lectures on the research trends of sensor\, machine learning\, a
 rtificial intelligence and internet of things today and in the future. The
  2nd day will be on hands-on experimental activities where the participant
 s will make IoT based system starting from sensors\, interfacing to embedd
 ed processor\, wireless communication\, uploading data to cloud\, data vis
 ualization and machine learning. The 2022 IEEE sensors council's winter sc
 hool\, to be held on September 19-20\, 2022 and will be hosted by School o
 f Engineering\, Macquarie University\, Sydney\, Australia.\n\nCo-sponsored
  by: Prof. Subhas Mukhopadhyay\n\nAgenda: \nSeptember 20\, 2022\n\n(Room: 
 9WW 234/235/237\, School of Engineering\, Macquarie University)\n\nTime\n\
 nActivities\n\nMorning Tea break 9:30am to 10:0am\n\n10:00am to 12:00pm\n\
 nBasic introduction of IoT project. Arduino & Raspberry pi setup and progr
 amming it for sensor interfacing. Inter device communication and transmiss
 ion of data.\n\nLunch break 12:00pm to 1:0pm\n\n1:0pm to 2:30pm\n\nUploadi
 ng data to cloud using LoRa and WiFi. Development of API.\n\nAfternoon Tea
  break 2:30pm to 3:0pm\n\n3:0pm to 4:0pm\n\nData Visualization and Machine
  learning\n\nBldg: 9WW\, 9WW 234/235/237\, Macquarie University Campus\, S
 ydney\, New South Wales\, Australia\, 2109
LOCATION:Bldg: 9WW\, 9WW 234/235/237\, Macquarie University Campus\, Sydney
 \, New South Wales\, Australia\, 2109
ORGANIZER:Subhas.Mukhopadhyay@mq.edu.au
SEQUENCE:2
SUMMARY:Spring school: Smart Sensors\, ML and AI: Remote Monitoring during 
 Challenging times - Day#2
URL;VALUE=URI:https://events.vtools.ieee.org/m/319499
X-ALT-DESC:Description: <br /><p>The main focus of 2022 IEEE sensors counci
 l's spring school is on smart sensors based remote monitoring which includ
 es health\, city and environmental parameters. &nbsp\;The lectures will co
 ncentrate on the applications of different sensors as well as intelligent 
 computing (machine learning and AI) and applications of internet of things
 . The first day will have a series of lectures on the research trends of s
 ensor\, machine learning\, artificial intelligence and internet of things 
 today and in the future. <strong>The 2<sup>nd</sup> day will be on hands-o
 n experimental activities where the participants will make IoT based syste
 m starting from sensors\, interfacing to embedded processor\, wireless com
 munication\, uploading data to cloud\, data visualization and machine lear
 ning.</strong> The 2022 IEEE sensors council's winter school\, to be held 
 on September 19-20\, 2022 and will be hosted by School of Engineering\, Ma
 cquarie University\, Sydney\, Australia.</p><br /><br />Agenda: <br /><tab
 le width="662">\n<tbody>\n<tr>\n<td colspan="2" width="662">\n<p><strong>&
 nbsp\;</strong></p>\n<p><strong>September 20\, 2022</strong></p>\n<p><stro
 ng>(Room:&nbsp\;</strong>9WW 234/235/237\, School of Engineering\, Macquar
 ie University)</p>\n</td>\n</tr>\n<tr>\n<td width="113">\n<p><strong>Time<
 /strong></p>\n</td>\n<td width="549">\n<p><strong>&nbsp\;&nbsp\;&nbsp\;&nb
 sp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;
 &nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbs
 p\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Activities</strong></p>\n</t
 d>\n</tr>\n<tr>\n<td colspan="2" width="662">\n<p><strong>&nbsp\;&nbsp\;&n
 bsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\
 ;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nb
 sp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;
 &nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Morning Tea break 9:30am
  to 10:0am</strong></p>\n<p><strong>&nbsp\;</strong></p>\n</td>\n</tr>\n<t
 r>\n<td width="113">\n<p>10:00am to 12:00pm</p>\n</td>\n<td width="549">\n
 <p>Basic introduction of IoT project. Arduino &amp\; Raspberry pi setup an
 d programming it for sensor interfacing. Inter device communication and tr
 ansmission of data.</p>\n<p>&nbsp\;</p>\n</td>\n</tr>\n<tr>\n<td colspan="
 2" width="662">\n<p><strong>&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbs
 p\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&
 nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp
 \;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&n
 bsp\;&nbsp\;&nbsp\; Lunch break 12:00pm to 1:0pm</strong></p>\n<p><strong>
 &nbsp\;</strong></p>\n</td>\n</tr>\n<tr>\n<td width="113">\n<p>1:0pm to 2:
 30pm</p>\n</td>\n<td width="549">\n<p>Uploading data to cloud using LoRa a
 nd WiFi. Development of API.</p>\n</td>\n</tr>\n<tr>\n<td colspan="2" widt
 h="662">\n<p><strong>&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbs
 p\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&
 nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp
 \;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&n
 bsp\;&nbsp\; Afternoon Tea break 2:30pm to 3:0pm</strong></p>\n<p><strong>
 &nbsp\;</strong></p>\n</td>\n</tr>\n<tr>\n<td width="113">\n<p>3:0pm to 4:
 0pm</p>\n</td>\n<td width="549">\n<p>Data Visualization and Machine learni
 ng</p>\n</td>\n</tr>\n</tbody>\n</table>\n<p>&nbsp\;&nbsp\;</p>
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