IEEE Network,
Год журнала:
2023,
Номер
37(2), С. 22 - 28
Опубликована: Март 1, 2023
Space-Terrestrial
Integrated
Networks
(STINs)
and
ubiquitous
artificial
intelligence
are
considered
as
important
infrastructures
of
6G
networks.
Due
to
the
long
transmission
distance
high
moving
speed
on-orbit
satellites,
STINs
face
challenges
unreliable
data
transmission,
untimely
processing,
low
utilization
satellite
resources.
Tiansuan
constellation
implements
edge
computing
platform,
which
builds
foundation
for
STINs.
This
article
proposes
a
cloud-edge
aggregated
intelligent
architecture
With
assistance
constellation,
an
implementation
strategy
network
is
proposed.
Furthermore,
three
use
cases
performed
discussed
achieve
remote
sensing,
slicing.
Simulation
results
demonstrate
that
proposed
can
fully
utilize
resource
improve
overall
throughput
effectively.
Heliyon,
Год журнала:
2024,
Номер
10(5), С. e26503 - e26503
Опубликована: Фев. 21, 2024
A
Digital
Twin
(DT)
is
a
digital
copy
or
virtual
representation
of
an
object,
process,
service,
system
in
the
real
world.
It
was
first
introduced
to
world
by
National
Aeronautics
and
Space
Administration
(NASA)
through
its
Apollo
Mission
'60s.
can
successfully
design
object
from
physical
counterpart.
However,
main
function
twin
provide
bidirectional
data
flow
between
entity
so
that
it
continuously
upgrade
state-of-the-art
iterative
method
for
creating
autonomous
system.
Data
brain
building
block
any
The
articles
are
found
online
cover
individual
field
two
at
time
regarding
analysis
technology.
There
no
overall
studies
this
manner
online.
purpose
study
overview
level
system,
involves
various
phases.
This
paper
will
comparative
among
all
fields
which
twins
have
been
applied
recent
years.
works
with
vast
amount
data,
needs
be
organized,
stored,
linked,
put
together,
also
motive
our
study.
essential
models,
making
cyber-physical
connections,
running
intelligent
operations.
current
development
status
challenges
present
different
phases
discussed.
outlines
how
DT
used
fields,
like
manufacturing,
urban
planning,
agriculture,
medicine,
robotics,
military/aviation
industry,
shows
structure
based
on
every
sector
using
review
papers.
Finally,
we
attempted
give
horizontal
comparison
features
across
extract
commonalities
uniqueness
sectors,
shed
light
as
well
limitations
future
standpoint.
Decision Analytics Journal,
Год журнала:
2023,
Номер
7, С. 100200 - 100200
Опубликована: Март 14, 2023
The
Internet
of
Things
(IoT)
is
a
network
connected
objects
designed
to
collect
and
exchange
data
using
smart
equipment
technologies.
A
significant
challenge
in
guaranteeing
high
level
end-user
experience
the
administration
IoT
services.
networks
are
constructed
variety
technologies
such
as
detectors,
controllers,
Radio-frequency
identification
(RFID),
Universal
Mobile
Telecommunications
Systems
(UMTS),
Third
Generation
Cellular
Networks
(3G),
Global
for
communications
(GSM).
Cloud
technology
significantly
impacts
how
these
grow
by
providing
processing
capabilities,
bandwidth,
virtualized
systems,
system
software
an
integrated
environment.
Capacity
management,
which
assures
effective
resource
use
load-balancing,
avoids
service
agreement
(SLA)
infractions,
enhances
machine
efficiency
minimizing
operational
expenses
power
utilization,
represents
one
fundamental
problems
cloud-based
ecosystems.
To
address
concerns,
IoT-based
robust
decision-making
management
often
used.
In
this
study,
we
investigate
provisioning
methods
identify
factors
that
must
be
considered
better
utilization
resources
distributed
systems.
Specifically,
aim
improve
minimization
rate,
skew
approximate
amount
rate.
We
also
highlight
challenges
complexities
hybrid
optimization
efficient
capital
allocation
IoT.
Remote Sensing,
Год журнала:
2024,
Номер
16(16), С. 3023 - 3023
Опубликована: Авг. 18, 2024
This
paper
explores
and
discusses
the
revolutionary
applications
of
digital
twin
technology
in
space
environments
its
profound
impact
on
future
exploration
activities.
Originating
from
a
proposal
by
National
Aeronautics
Space
Administration
(NASA)
2002,
aims
to
enhance
safety
reliability
missions
creating
precise
virtual
models.
As
has
evolved,
have
successfully
expanded
beyond
aerospace
include
Industry
4.0,
healthcare,
urban
management,
demonstrating
remarkable
cross-industry
adaptability
broad
impact.
In
applications,
can
not
only
improve
spacecraft
design
maintenance
processes
but
also
efficiency
mission
planning
execution.
It
plays
crucial
role
astronaut
training
emergency
response
as
well.
Particularly
extreme
conditions,
this
provides
real-time
monitoring
fault
prediction,
significantly
enhancing
success
rates.
However,
despite
recognized
potential,
implementation
twins
faces
numerous
challenges,
including
data
transmission
delays,
model
accuracy,
user–system
interactions.
future,
artificial
intelligence
(AI)
machine
learning
(ML)
technologies
become
mature
integrated,
will
play
more
central
missions,
especially
remote
operations,
complex
system
deep
exploration.
article
is
overview
key
technical
features,
application
examples,
challenges
technology,
aiming
provide
comprehensive
reference
framework
for
researchers
developers
while
inspiring
further
in-depth
studies
innovative
applications.
Journal of Information Security,
Год журнала:
2024,
Номер
15(02), С. 245 - 278
Опубликована: Янв. 1, 2024
This
article
signals
the
use
of
Artificial
Intelligence
(AI)
in
information
security
where
its
merits,
downsides
as
well
unanticipated
negative
outcomes
are
noted.
It
considers
AI
based
models
that
can
strengthen
or
undermine
infrastructural
functions
and
organize
networks.
In
addition,
essay
delves
into
AI's
role
Cyber
software
development
need
for
AI-resilient
strategies
could
anticipate
thwart
AI-created
vulnerabilities.
The
document
also
touched
on
socioeconomic
ramifications
emergence
well.
Looking
literature,
report
outlines
benefits
including
made
threat
detection
precision,
extended
ops
efficiency,
preventive
tasks.
At
same
time,
it
emphasizes
positive
side
AI,
but
shows
potential
limitations
such
data
bias,
lack
interpretability,
ethical
concerns,
flaws.
work
similarly
focuses
characterized
misuse
sophisticated
cyberattacks.
research
suggests
ways
to
diminish
AI-generating
maleficence
which
comprise
development,
robust
safety
measures
constant
audits
updates.
With
regard
application
security,
there
both
pros
cons
terms
socio-economic
issues,
example,
job
displacement,
economic
growth
change
required
workforce
skills.
Applied Sciences,
Год журнала:
2023,
Номер
13(16), С. 9165 - 9165
Опубликована: Авг. 11, 2023
The
Internet
of
Things
(IoT)
was
introduced
as
a
recently
developed
technology
in
the
telecommunications
field.
It
is
network
made
up
real-world
objects,
things,
and
gadgets
that
are
enabled
by
sensors
software
can
communicate
data
with
one
another.
Systems
for
monitoring
gather,
exchange,
process
video
image
captured
cameras
across
network.
Furthermore,
novel
concept
Digital
Twin
offers
new
opportunities
so
proposed
systems
work
virtually,
but
without
differing
operation
from
“real”
system.
This
paper
meticulous
survey
IoT
to
illustrate
how
their
combination
will
improve
certain
types
Monitoring
Healthcare–IoT
Cloud.
To
achieve
this
goal,
we
discuss
characteristics
use
over
Multimedia
Transmission
System
also
discusses
some
technical
challenges
IoT,
based
on
Healthcare
data.
Finally,
it
shows
Mobile
Cloud
Computing
(MCC)
technology,
settled
base
enhances
functionality
has
an
impact
various
proposes
algorithm
approach
transmitting
processing
video/image
through
Cloud-based
gather
pertinent
about
validity
our
proposal
more
safe
useful
way,
have
implemented
scenario
Smart
suggested
sustainable
energy-efficient
system
experimental
findings
ultimately
demonstrate
reliable
secure.
Experimental
results
show
model
depicts
efficiency
usage
Management
operated
scenario,
using
real-time
large-scale
produced
connected
Through
these
scenarios,
observe
remains
best
choice
regardless
time
difference
or
energy
load.
International Journal of Computers and Applications,
Год журнала:
2024,
Номер
46(5), С. 338 - 347
Опубликована: Март 5, 2024
Industrial
Internet
of
Things
(IIoT)
has
transformed
several
sectors.
The
seamless
integration
digital
and
physical
technologies
company
operations.
This
connection
enables
the
construction
usage
twins,
sophisticated
replicas
assets,
systems,
processes.
IIoT
twinning
are
revolutionizing
sectors
by
opening
up
new
opportunities.
Virtual
twins
dynamic,
accurate
duplicates
real-world
items.
Digital
used
in
infrastructure,
industrial
machinery,
urban
planning,
healthcare.
study
introduced
SA-GSA-based
session
key
creation.
research
suggests
using
Gravitational
Search
Algorithm
(GSA)
Self
Adaptive
(SA)
methods
to
efficiently
choose
key.
Due
hybrid
approach,
creation
is
secure
optimal
for
each
domain
device.
algorithm
continually
evaluates
security
adjusts
generation
settings
counter
attacks.
SA-GSA
method
boosts
system
performance
allocating
resources
validating
transactions.
might
benefit
ensuring
twin
data
reliability
IoT
scenarios.
may
improve
decision-making,
operational
efficiency,
predictive
maintenance.
Hybrid
blockchain
create
a
strong
trust
mechanism
that
ensures
integrity,
enabling
adoption
technology.
IEEE Access,
Год журнала:
2022,
Номер
11, С. 744 - 769
Опубликована: Дек. 26, 2022
Technological
advancements
in
large
industries
like
power,
minerals,
and
manufacturing
are
generating
massive
data
every
second.
Big
techniques
have
opened
up
numerous
opportunities
to
utilize
datasets
several
effective
ways
improve
the
efficacy
of
related
industries.
This
paper
presents
a
review
big
technologies
used
mineral,
for
various
purposes.
We
analyze
meta-data
collected
papers
before
reviewing
selecting
by
applying
selection
criteria
quality
assessment
strategy.
Then
we
propose
taxonomy
application
areas
studied
current
architectures
implemented
industry
sectors
uncovered
research
gaps
sectors.
To
address
gaps,
point
out
some
relevant
questions
and,
answer
questions,
make
future
recommendations
that
might
explore
interesting
ideas
building
data-driven
industry.
As
careful
use
benefits
other
sector;
hence,
supportive
frameworks
need
be
developed
speed
analysis
process.
Proper
multi-dimensional
is
also
needed
take
into
account
serving
tasks.
Industry
automation
heavily
influenced
proper
utilization
data.
While
an
intelligent
agent
can
many
processes
heavy
production
loads
industry,
it
work
risky
environment
such
as
mines
efficiently.
train
agents
working
specific
used.
