VIP ROW 2021
VIP Research
Group is proudly to have a Research Outcome Webinar (VIP ROW 2021). Every year
around April-May and August-September, VIP Research Group is hosting VIP ROW
for researchers to present their outcome for participants include researchers
who are working on the area(s) as well as the general public
who are interested to know more about the research done in a particular area.
The Research Outcome Webinar (ROW) this year includes TWO 2-hour morning
sessions for the follow FIVE research presentations
and you can review its recording on VIP Research Group's official Youtube channel (from https://youtube.vipresearchgroup.ca)
now.
A. Day #1
(9:30 AM to 11:30 AM in Mountain Time on Thursday, September 2)
Session #1-0
Opening
Session
Maiga
Chang
Recording: https://youtu.be/7dUWjcNymoM
Session #1-1
Fish
Tracking and Recognition
https://fishtracking.vipresearch.ca/
Ishika Tailor
This
research uses heuristic method and Neural Networks to train models for
identifying fish from video feed. The research outcome involve
Python, PHP, JavaScript (AJAX and JSON).
Recording: https://youtu.be/sYMoTp7ofXw
Session #1-2
Eliminating
Environmental Context for Fall Detection based on Movement Traces
Bala Manikandan
This
research uses Neural Networks in Python to train models for fall detection from
video and verifies the performance with known video data set.
Recording: https://youtu.be/aC9O9kofoT8
B. Day #2
(9:30 AM to 11:30 AM in Mountain Time on Friday, September 3)
Session #2-0
Opening
Session
Maiga
Chang
Recording: https://youtu.be/w-qoQeX1w9c
Session #2-1
Open Street
Map based Next-Stop Recommender
https://nextstop.vipresearch.ca/
Anirudh
Srinivasa Raghavan
This
research implements an Android app and a recommendation service with two
algorithms to predict and make Point of Interest and PoI
category recommendations for the mobile app's users according to their
anonymous time-series data. The research outcome involve
Android, Python, PHP, XML, JavaScript (AJAX and JSON), and Open Street Map.
Recording: https://youtu.be/1WxiPrQrnQM
Session #2-2
Valid
N-Grams Learning and Verification with DBPedia
https://ws-nlp.vipresearch.ca/
Bhavesh
Gandhi
This
research uses Natural Language Processing basics with DBPedia
to identify the valid n-gram words and important part-of-speech tags. The
research outcome implements services that can take users' requests in JSON to
help them verify valid part-of-speech tags and identify valid n-grams. The
research outcome involve Python, PHP, JavaScript (AJAX
and JSON), and DBPedia.
Recording: https://youtu.be/el9knWc4EnA
Session #2-3
Training
care givers and sitters with chatbots
Scott
McQuoid
This
research creates a web-based visualized editing environment for chatbot
creation so people can practice and can be trained via talking and interacting
with chatbots. The research outcome involve PHP,
JavaScript (AJAX and JSON), RiveScript, and Scalable
Vector Graphics (SVG).
Recording: https://youtu.be/G9TbwaNgW0s
Session #2-4
Close
Session
Maiga Chang
Recording: https://youtu.be/W1epmIpvyPM