BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20210402T160558Z
LOCATION:Poster Module
DTSTART;TZID=America/New_York:20201118T083000
DTEND;TZID=America/New_York:20201118T170000
UID:submissions.supercomputing.org_SC20_sess340_spostg110@linklings.com
SUMMARY:A Computer Vision and AI Based Solution to Determine the Change in
  Water Level in Stream
DESCRIPTION:ACM Student Research Competition: Graduate Poster, ACM Student
  Research Competition: Undergraduate Poster, Posters\n\nA Computer Vision 
 and AI Based Solution to Determine the Change in Water Level in Stream\n\n
 Chandra\n\nFlooding is one of the most dangerous weather events today.  Be
 tween 2015-2019 on average, it has caused more than 130 deaths every year 
 in the USA alone. World Health Organization has reported that, between 199
 8-2017, floods have affected more than 2 billion people worldwide. The dev
 astating nature of flood necessitates the continuous monitoring of water l
 evel in the rivers and streams in flood-prone areas to detect the incoming
  flood. In this study, we have designed and implemented a computer vision 
 and AI-based system that continuously detects the water level in the creek
 . Our solution employs an effective template matching algorithm on edge ma
 p images to find the water level coordinates. Next, a linear regression ba
 sed model finds a straight line through these coordinates, that represents
  the water level. We evaluated our algorithms on 200 images across several
  days and achieved 0.949 R-squared score.\n\nTag: Student Program\n\nRegis
 tration Category: Tech Program Reg Pass, Exhibits Reg Pass
END:VEVENT
END:VCALENDAR