International Journal For Multidisciplinary Research,
Journal Year:
2024,
Volume and Issue:
6(6)
Published: Dec. 24, 2024
Integrating
cloud
computing
and
edge
management
systems
in
the
manufacturing
sector
is
revolutionizing
traditional
production
paradigms.
This
comprehensive
article
examines
how
smart
factories
are
leveraging
cloud-based
platforms
Internet
of
Things
(IoT)
devices
to
transform
their
operations
through
enhanced
monitoring
capabilities,
predictive
maintenance
strategies,
real-time
optimization.
The
analyzes
three-tier
architecture
modern
systems,
exploring
synergies
between
computing,
network
infrastructure,
platforms.
By
examining
implementation
challenges,
security
concerns,
emerging
trends,
this
provides
insights
into
facilities
achieving
improved
efficiency,
reduced
operational
costs,
quality
control
digital
transformation.
encompasses
case
studies
from
automotive
pharmaceutical
sectors,
demonstrating
practical
applications
benefits
these
technologies
diverse
environments.
Hybrid Advances,
Journal Year:
2024,
Volume and Issue:
7, P. 100277 - 100277
Published: Aug. 23, 2024
Artificial
Intelligence
(AI)
technology's
rapid
advancement
has
significantly
changed
various
industries'
operations.
This
comprehensive
review
paper
aims
to
provide
readers
with
a
deep
understanding
of
AI's
applications
&
implementations,
workings,
and
potential
impacts
across
different
sectors.
It
also
discusses
its
future,
threats,
integration
into
new
policy.
Through
extensive
research
on
more
than
200
many
other
sources,
the
authors
have
made
every
effort
present
an
accurate
overview
numerous
AI
nowadays
in
industries
such
as
agriculture,
education,
autonomous
systems,
healthcare,
finance,
entertainment,
transportation,
military,
manufacturing,
more.
The
explores
technologies,
including
machine
learning,
robotics,
big
data,
Internet
Things,
natural
language
processing,
image
object
detection,
virtual
reality,
augmented
speech
recognition,
computer
vision.
provides
real-world
examples
their
implementations.
Moreover,
it
highlights
evaluates
future
potential,
challenges,
limitations
associated
widespread
use
AI.
Our
study
incorporates
latest
offer
nuanced
benefits
challenges.
data-driven
case
immense
technology
addresses
ethical,
societal,
economic
considerations
related
implementation.
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 63238 - 63270
Published: Jan. 1, 2024
The
telecommunications
systems
are
in
continuous
evolution.
After
voice,
video,
mobile
internet,
and
Internet
of
Things,
what
services
will
be
supported
the
near
future?
In
paper,
three
envisioned
highlighted,
which
provided
coming
years
by
new
telecommunication
systems:
immersive
communications,
everything
connected,
high-positioning.
author
provides
a
comprehensive
description
their
characteristics
investigates
developments
that
implemented
3GPP
Releases
17,
Release
18,
19,
including
technologies
could
integrated
for
supporting
services.
order
to
evaluate
performance
services,
it
is
important
define
appropriate
Key
Performance
Indicators
(KPIs).
paper
reports
proposes
KPIs
network
evaluation
support
specific
such
as
virtual/mixed
reality,
smart
sensors,
gesture
recognition,
then
facilitating
effective
design
next-generation
its
assessment
optimally.
Requirements
major
application
fields
see
widespread
adoption
next
3-8
due
these
also
investigated.
Finally,
further
outlines
most
promising
enabling
technologies,
bearer
Sensors,
Journal Year:
2024,
Volume and Issue:
24(24), P. 8074 - 8074
Published: Dec. 18, 2024
The
paradigms
of
Industry
4.0
and
Industrial
Internet
Things
(IIoT)
require
functional
architectures
to
deploy
organize
hardware
software
taking
advantage
modern
digital
technologies
in
industrial
systems.
In
this
sense,
a
lot
the
literature
proposes
describes
type
architecture
with
conceptual
angle,
without
providing
experimental
validation
or
scarce
details
about
involved
equipment
under
real
operation.
Aiming
at
overcoming
these
limitations,
paper
presents
application
an
IIoT
divided
into
four
layers,
namely,
Sensing,
Network,
Middleware
Application
layers.
Automation
IoT
are
used
implement
apply
architecture.
Special
attention
is
put
on
Grafana,
chosen
top
layer
graphical
user
interfaces
that
remotely
accessible
via
web.
A
pilot
microgrid
integrating
photovoltaic
energy
hydrogen
served
as
scenario
test
prove
suitability
cases.
Advanced Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 14, 2024
In
robotics,
particularly
for
autonomous
navigation
and
human-robot
collaboration,
the
significance
of
unconventional
imaging
techniques
efficient
data
processing
capabilities
is
paramount.
The
unstructured
environments
encountered
by
robots,
coupled
with
complex
missions
assigned
to
them,
present
numerous
challenges
necessitating
diverse
visual
functionalities,
consequently,
development
multifunctional
robotic
vision
systems
has
become
indispensable.
Meanwhile,
rich
diversity
inherent
in
animal
systems,
honed
over
evolutionary
epochs
meet
their
survival
demands
across
varied
habitats,
serves
as
a
profound
source
inspirations.
Here,
recent
advancements
drawing
inspiration
from
natural
ocular
structures
perception
mechanisms
are
delineated.
First,
unique
functionalities
eyes
terrestrial,
aerial,
aquatic
habitats
signal
mechanism
humans
explored.
Then,
designs
bio-inspired
electronic
explored,
engineered
mimic
key
components
underlying
optical
principles
eyes.
Furthermore,
neuromorphic
image
sensors
discussed,
emulating
functional
properties
synapses,
neurons,
retinas
thereby
enhancing
accuracy
efficiency
tasks.
Next,
integration
examples
mobile
robotic/biological
introduced.
Finally,
forward-looking
outlook
on
provided.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(7), P. 2008 - 2008
Published: March 23, 2025
This
paper
presents
the
results
of
investigations
on
accuracy
contact
point
identification
during
coordinate
measurement,
which
is
crucial
in
context
Industry
4.0
concept.
In
particular,
effects
swivel
length
and
probe
declination
angle
measurement
were
analyzed.
experiments,
deviations
from
expected
coordinates
(0,0,0)
analyzed
for
different
rotational
angles
probing
head.
It
was
found
that
recommended
vertical
positioning
stylus
at
an
A
=
0°
might
have
introduced
some
insignificant
errors.
Increasing
up
to
15°
generated
additional
errors
negligible
values
comparison
with
CMM.
However,
increase
90°
as
high
10
μm.
error
will
a
certain
effect
best
fitting
element
subsequent
calculations
respective
results.
The International Journal of Advanced Manufacturing Technology,
Journal Year:
2024,
Volume and Issue:
132(5-6), P. 2715 - 2733
Published: April 3, 2024
Abstract
Throughout
industrial
revolutions,
equipment
downtime
mitigations
have
been
one
of
the
ultimate
goals
most
factories.
Several
tools,
such
as
human
machine
interface
(HMI)
alarming
systems
or
predictive
maintenance
schedules,
assist
in
reducing
system
but
still
depend
on
operators’
ability
to
swiftly
retrieve,
understand,
and
efficiently
act
upon
reported
failures.
We
propose
design
a
hybrid
experimental
artificial
intelligence
(AI)
generative
AI
chatbot
HMI
that
effectively
extracts
factory
conditions
are
useful
for
troubleshooting
analysis.
achieve
these
functions
by
feeding
factory-monitored
data
customized
application
tool
running
its
back-end,
Langchain
agent
linked
OpenAI
GPT
$$-$$
-
3.5
language
model
(LM)
via
APIs.
our
front-end
with
Streamlit,
an
open-source
web
app.
In
context
I5.0,
uses
personalized
natural
language,
English,
interact
operator,
making
information
extraction
more
understandable.
also
integrate
capability
LM
augments
based
loaded
format
create
larger
dataset
additional
tasks
like
learning
modelling.
The
results
show
accuracy
when
retrieving
specific
prompts
advantages
reduced
time
compared
operations
traditional
factories,
which
highly
dependent
supervisors’
interventions.
Our
study
provides
valuable
example
upgrading
standard
HMIs
I5.0-capable
ones
implementing
chatbots
within
operational
environments.
IET Collaborative Intelligent Manufacturing,
Journal Year:
2025,
Volume and Issue:
7(1)
Published: Jan. 1, 2025
Abstract
Machine
breakdowns
are
alarming
threats
to
factories.
They
can
substantially
decrease
productivity,
cause
financial
losses,
and
create
unsafe
work
environments
for
operators.
Early
detection
of
system
anomalies
is
crucial
prevent
fix
machine
before
they
become
fatalities.
With
the
advent
digitalisation
smart
manufacturing,
various
artificial
intelligence
(AI)
learning
(ML)
techniques
contribute
implementing
efficient
anomaly
systems
with
more
accurate
results.
In
this
research,
design
an
experimental
platform
(ADP)
was
suggested
a
conveyor
motor
system.
The
ADP
analyses
time‐series
parameters
accurately
classifies
whether
would
faulty
authors
build
classification
ML
model
using
dendritic
gated
neural
networks
(DGNN)
achieve
better
accuracy.
Dendritic
Neural
Networks
highly
immune
forgetting,
contributing
performance
than
regular
(ANNs)
backpropagation.
also
includes
fault
section
motors'
recurrent
(RNN)
regression
models
predict
sensor
values.
When
training
models,
predicted
serve
data
augmentation
purposes.
This
contributes
robust
double‐layered
ADP,
preventing
from
inputs
output
level.
solution
suits
small
traditional
factories
limited
historical
records.
results
show
benefits
our
built
on
DGNN
over
several
such
as
ANN,
convolutional
network
(CNN),
support
vector
(SVM).
Journal of Intelligent Manufacturing,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 15, 2025
Abstract
Data
management,
particularly
in
industrial
environments,
is
increasingly
vital
due
to
the
necessity
of
handling
ever-growing
volumes
information,
commonly
referred
as
big
data.
This
survey
delves
into
various
papers
comprehend
practices
employed
within
settings
concerning
data
by
searching
for
relevant
keywords
Q1
Journals
related
management
manufacturing
databases
WebOfScience,
Scopus
and
IEEE.
Additionally,
a
contextual
overview
core
concepts
methods
different
aspects
process
was
conducted.
The
results
indicate
deficiency
methodology
across
implementations
even
same
types
industry
or
processes.
findings
also
highlight
several
key
principles
essential
constructing
an
efficient
optimized
system.
