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SOME HIGHLIGHTS OF STUDENTS’ RESEARCH
Strengthening students’ research conducted at AIT.
Mr.
Ranadheer
Reddy
Master
Student and
Research
Scholar
Remote
Sensing and
GIS, AIT
He attended the 2019 Asia-Pacific Leadership Programme On Environment For Sustainable
Development held at Tongji University, China during 22-27 September 2019.
He
was
given
the
opportunity
to
present
and
exhibit
his
research
poster
and
meet
co-participants
from
20
countries.
He
was
the
only
master
student
who
participated
together
with
other
attendees
who
are
WFP
trustees,
Professors,
university
deans,
social
activists,
entrepreneurs,
government
officials.
The
programme
was
Co-hosted
by
the
United
Nations
Environment
Programme
(UN
Environment)
and
Tongji
University,
the
Asia-Pacific
Leadership
Programme
on
Environment
for
Sustainable
Development
is
an
annual
programme
for
emerging
leaders
in
the
region
that
aims
to
build
capacity
on holistic sustainability thinking and evidence-based approaches for effective action.
Mr.
Venu
Kumar
Ranga,
Master
Student
in
Remote
Sensing
&
GIS,
has
attended
the
2019
International
Training
Workshop
on
BDS
Technology
and
Applications
in
the
Belt
and
Road
Countries
held
during
16-29
September
2019
in
Beijing,
China.
The
AIT
delegate
was
lead
by
Dr.
Salvatore
Virdis,
Asst.Professor
in
RS&GIS
together
with
2
other
students
Mr.Bidur
Devkota
and
Siwat
Kongwarakorn.
The
event
was
organized
by
Bureau
of
International
Co-operation
Chinese
Academy
of
Sciences
which
was
undertaken
by
China
Satellite
Navigation
Office-Academic
Exchange
Center(CSNO-AEC)
and
Aerospace
Information
Research
Institute-Chinese
Academy
of
Sciences.
More
than
20
experts
and
scholars
from
14
countries
in
the
field
of
satellite
navigation
was
invited
to
give
lectures
about
the
basic
and
frontier
knowledge
of
GNSS
and
BDS,
Satellite
positioning,
navigation
and
time
service,
and
satellite
based
augmentation
system.
The
trainees
was
given
the
opportunity
to
visit
the
high-tech
enterprises
and
research
institutions,
learn
about
the
satellite
navigation
products
and
applications,
precision
agriculture,
self
drive
cars
and
smart
indoor
localisation
and have face-to-face communication with the researchers.
Super-resolution of an Image
Prithvi Raju
Master Student
Computer Science and Information
Management
School of Engineering and Technology
"The
evolution
of
surveillance
techniques
in
the
modern
era
has
powered
Artificial
Intelligence
by
developing
algorithms
that
provide
numerous
opportunities
to
improve
security.
Surveillance
cameras
monitoring
wide
field
of
view
can
result
in
capturing
indiscernible
faces
which
makes
human
activity
monitoring
and
recognition
impossible.
A
powerful
technique
such
as
super-resolution
of
an
image
that
synthesizes
a
high-resolution image from a low-resolution image is a feasible solution."
Impact of Carbon Nanoparticle Additive on Viscosity and Surface Tensionof Automotive Engine Oil
Mr. Saikiran Gaddamedi
Master Student
Nanotechnology
School of Engineering and Technology
Using
Nano
additives
to
enhance
the
performance
of
lubricants
in
one
of
the
trending
research
fields.
The
main
objective
of
this
study
is
to
practically
study
the
properties
of
lubricants
upon
addition
of
few
carbon
Nano
impurities.
Different
carbon
Nano
additives
like
Graphite,
MWCNT
(Multi
wall
carbon
Nano
tubes)
are
blended
to
the
commercial
SAE
20W50
multi
grade
oil
and
the
performance
is
studied
at
temperature
ranging
from
-5℃
to
80℃.
We
successfully
fund
that
the
viscosity
of
Nano
lubricants
were
lower
than
that of pure base oil.
Presented
and
was
one
of
the
Finalist
during
the
“
100
Innovations
x
Entrepreneurs”
event,
it
was
Southeast
Asia's
first
Research
to
Commercial (R2C) Conference.
TRoom Temperature Deposition of Zinc Tin Oxide (ZTO) Thin
Films using Spark Deposition Technique
Mr. Saikiran Gaddamedi
Master Student
Nanotechnology
School of Engineering and Technology
Solar Powered Automatic Weather Station (AWS-Solar) and Alert System using Smart Sensors and
Systems
Gajula Manoj Mahajan
Master of Engineering in Remote Sensing and Geographic Information
Systems ~ May 2017
School of Engineering and Technology
Signal & Telecom Technician @ Indian
Railways, Hyderabad, India
(Government of India)
Introduction:
During
recent
years,
weather
is
becoming
a
prime
interest
in
climate
change
issues.
Nowadays,
the
need
of
weather
monitoring
instruments
for
real-time
monitoring,
alarming
and
reporting
the
varying
environmental
conditions
has
become
very
essential.
In
this
paper,
The
proposed
system
generates
the
short
term
local
alerts
based
on
the
current
weather
conditions.
The
alarming
system
has
been
developed
through
a
smartphone
application
which
sends
the
alert
messages
based
on
the
condition
of
the
weather
at
that
location.
The
AWS-Solar
will
be
powered
by
using
solar
energy,
further
the
change in the weather is observed on a web platforms.
Conclusion:
The
real-time
graphical
charts
are
displayed
on
the
smartphone
application.
The
hourly,
daily,
weekly
and
monthly
patterns
of
weather
parameters
are
also
shown
using
graphs.
The
upper
and
lower
threshold
values
were
fixed
in
the
application
for
individual
parameters.
The
real-time
alerts
are
shown
on
the
smartphone
screen.
The
real
time
alert
messages
are
also
shown
in
twitter
using
react
application which will compare the conditions and gives real time alerts.
Using Geographic Information System in Mapping Risk Zones of Leptospirosis, Thailand
Sravan Sajja
Master of Engineering in Remote
Sensing and GIS ~ May 2016
Asian Institute of Technology, Thailand
Civil Works Contractor in Sarva Shiksha
Abhiyan (SSA),
Guntur District, Andhra Pradesh, India
SUMMARY:
Intensive
use
of
Remote
Sensing
and
Geographic
Information
Systems
in
health
sector
had
given
an
opportunity
for
healthcare
authorities
to
identify
the
risk
zones
for
different
diseases
through
which
the
services
can
be
rendered
more
effectively,
but
this
work
is
still
under
tremendous
pressure
especially
in
developing
countries
and
countries
with
large
population,
due
to
the
limitations
in
data
availability.
Leptospirosis
is
probably
the
world’s
most
widespread
zoonosis
of
global
importance.
This
work
presents
risk
zone
identification
by
finding
hotspots
in
province
level
in
Thailand.
Leptospirosis
incidence
data
has
been
prepared
province
level
for
the
years
2003
to
2009.
By
considering
average
incidence
of
all
the
years,
risk
map
is
prepared.
These
results
are
been
verified
by
the
map
produced
by
using
incidence
rate
method.
From
the
results
we
found eleven provinces in Thailand with leptospirosis incidence > 12 per 100,000 people.
Karthikeya Nandanavanam VBS Sudarsan
Master of Engineering in Remote Sensing and
Geographic Information Systems ~ December
2018
PhD Fellow in Remote Sensing and Geographic
Information Systems
Asian Institute of Technology, Thailand
Best Poster during FOSS4G-Asia 2018 held on
December 2018 at Moratuwa, Sri Lanka
Title: Development of a Mobile Online Powered
Smart Weather and Air Quality Station
Abstract: Most of the weather stations calculate
the weather data and climate change data only
at the area where the weather station is located.
The Weather and Air Quality Station (W&AQ)
built this research work are assembled with
sensors such as BMP280, DTH22, PM2.5, Anemometer, Rain gauge, GPS and GSM module.
Karthik Muthineni
Master of Engineering in
Information and Communication
Technology (ICT) ~ July 2018
Co-Researcher at National
Electronics and Computer
Technology Center (NECTEC),
Thailand
Thesis Title: Ambient Intelligent
Wireless Sensor Network for
Environmental Monitoring and Indoor Localization Using an Extended
Kalman Filter.
Abstract:
Ambient
Intelligent
(AmI)
Wireless
Sensor
Networks
(WSN)
provide
intelligent
services
based
on
user
and
environment
data
obtained
by
sensors.
Such
networks
are
developed
to
give
environmental
monitoring
and
indoor
localization
services.
In
this
work,
Zigbee
which
is
a
wireless
communication
technology
is
used
for
localization
based
on
Received
Signal
Strength
Indicator
(RSSI)
method.
In
practice,
Extended
Kalman
Filter
(EKF)
is
adapted
to
filter
RSSI
values
influenced
by
multi-
path
fading
and
noise.
Log-Normal
Shadowing
Method
(LNSM)
together
with
the
Trilateration
method
was
implemented
to
locate
the
position
of
the
unknown
node
or
entity.
In
addition,
Cramer
Rao
Lower
Bound
(CRLB)
is
derived
for
the
position
estimation,
that
can
be
used
to
evaluate
the
performance
of
the
system
in
terms
of
localization
accuracy.
Along
with
indoor
localization,
the
deployed
WSN
could
also
monitor
environment
parameters
like
temperature
and
humidity
surrounding
entity
using
digital
humidity
and
temperature
(DHT11)
sensor.
Using
Zigbee
location
coordinates
of
entity
and
environment
parameters
are
transmitted
to
remote
desktop
where
visualization
of
data
is
done
using
Matrix Laboratory (MATLAB).
SOCIAL WITH US
Special Degree Programs
Asian Institute of Technology
Klong Luang, Pathumthani 12120 Thailand
unified@ait.ac.th | (+66) 2 524 6313