ECTI Transactions on Computer and Information Technology (ECTI-CIT),
Journal Year:
2021,
Volume and Issue:
15(2), P. 245 - 257
Published: Aug. 11, 2021
By
interpreting
spatial
relations
among
objects,
many
applications
such
as
video
surveillance,
robotics,
and
scene
understanding
systems
can
be
utilized
efficiently
for
different
purposes.
The
vast
majority
of
known
models
relationships
are
carried
out
with
an
image.
However,
due
to
the
advance
in
technology,
a
three-dimensional
became
available.
For
our
knowledge,
most
interpreted
were
defined
between
silent
objects
images.
A
technique
determining
dynamic
relation
moving
object
another
one
time
varying
is
presented
here.
determined
by
using
motion-based
tracking
along
hypergraph
object-oriented
model.
Defining
relationship
types
single
human
body
has
applied
based
on
two
strategies;
each
bounding
box,
then
comparing
locations
these
boxes
applying
certain
conditional
rules.
This
study
identifies
some
three
dimensions
streaming
frames,
which
establishing
highly
accurate
efficient
proposed
algorithm.
following
have
been
studied;
(“direct
front
of”,
“in
Right/Left”,
“direct
behind
“behind
“to
Right”,
Left”,
“On”,
“Under”,
Besides,
“Besides
Right/Left”).
experimental
results,
obtained
actual
indoor
show
effectiveness
reliable
execution
system
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 56642 - 56651
Published: Jan. 1, 2024
The
pace
in
the
development
and
adoption
of
new
technologies
for
bigdata
analytics
has
changed
dramatically
over
last
several
decades,
amount
data
being
digitally
ingested
stored
is
expanding
exponentially
rapidly.
These
include
structured,
semi-structured
unstructured,
come
different
sizes
formats.
To
utilize
these
vast
resources,
knowledge
skills
needed
to
manage
convert
it
into
information
crucial.
In
this
paper,
firstly,
commonly
used
technologies,
platforms,
computational
tools
techniques
currently
use
ingesting,
processing,
storing
analyzing
are
reviewed.
Secondly,
those
utilized
predict
internet
congestion
by
employing
bivariate
mixture
transition
distribution
(BMTD),
expectation–maximization
(EM)
algorithm
autoregressive
integrated
moving
average
(ARIMA)
models.
BMTD
models
very
effective
capturing
non-Gaussian
nonlinear
features,
such
as
bursts
activity
outliers,
a
single
unified
model
class.
do
not
assume
equally
spaced,
well
independence,
which
key
weaknesses
some
other
available
time
series
marked
point
processes
Both
Weibull
ARIMA
predictive
models,
but
comparison
their
performances
yet
addressed
statistics
machine
learning
literature.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI),
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 6
Türk bilgisayar ve matematik eğitimi dergisi,
Journal Year:
2021,
Volume and Issue:
12(5), P. 1226 - 1236
Published: April 11, 2021
Network
Intrusion
detection
and
prevention
Systems
(NIDPS)
are
employed
in
monitoring
a
network
which
safeguards
user
integrity,
privacy
thereby
ensuring
the
data
security
availability
network.
Such
systems
not
only
monitor
suspicious
activities
but
also
used
as
control
to
eliminate
malicious
users
from
In
this
paper,
Hybrid
Adaptive
Development
Algorithm
Machine
Learning
(ADA-MLA)
method
is
proposed
identify
eliminating
them
The
deployment
of
honeypot-based
intrusion
improved
adaptive
development
algorithm.
learning
algorithm
has
been
IDPS
for
patterns
identifies
maximum
probable
attacks
signatures
DARPA
99
set
have
updated
during
implementation
system
on
real-time
basis.
hybrid
works
(i)
classifying
based
protocols
(ii)
pre-determined
threshold
values.
Hence,
both
known
unknown
can
be
easily
captured
achieves
higher
attack
accuracy
while
compared
conventional
methodologies.
ECTI Transactions on Computer and Information Technology (ECTI-CIT),
Journal Year:
2021,
Volume and Issue:
15(2), P. 245 - 257
Published: Aug. 11, 2021
By
interpreting
spatial
relations
among
objects,
many
applications
such
as
video
surveillance,
robotics,
and
scene
understanding
systems
can
be
utilized
efficiently
for
different
purposes.
The
vast
majority
of
known
models
relationships
are
carried
out
with
an
image.
However,
due
to
the
advance
in
technology,
a
three-dimensional
became
available.
For
our
knowledge,
most
interpreted
were
defined
between
silent
objects
images.
A
technique
determining
dynamic
relation
moving
object
another
one
time
varying
is
presented
here.
determined
by
using
motion-based
tracking
along
hypergraph
object-oriented
model.
Defining
relationship
types
single
human
body
has
applied
based
on
two
strategies;
each
bounding
box,
then
comparing
locations
these
boxes
applying
certain
conditional
rules.
This
study
identifies
some
three
dimensions
streaming
frames,
which
establishing
highly
accurate
efficient
proposed
algorithm.
following
have
been
studied;
(“direct
front
of”,
“in
Right/Left”,
“direct
behind
“behind
“to
Right”,
Left”,
“On”,
“Under”,
Besides,
“Besides
Right/Left”).
experimental
results,
obtained
actual
indoor
show
effectiveness
reliable
execution
system
