IEEE Access,
Journal Year:
2022,
Volume and Issue:
10, P. 133936 - 133944
Published: Jan. 1, 2022
During
the
production
of
strip
steel,
there
are
often
some
defects
on
surface
product.
Therefore,
detection
such
defect
is
key
to
produce
high-quality
products.
At
same
time,
steel
cause
huge
economic
losses
high-tech
industry.
A
algorithm
based
improved
YOLO-V7
proposed
address
problems
low
speed
and
poor
accuracy
traditional
methods.
First,
we
use
de-weighted
BiFPN
structure
make
full
deep,
shallow
original
feature
information
strengthen
fusion,
reduce
loss
during
convolution
process,
improve
accuracy.
Secondly,
ECA
attention
mechanism
combined
in
backbone
part
important
channels.
Finally,
bounding
box
function
replaced
by
SIoU
function,
where
penalty
term
redefined
taking
vector
angle
between
required
regressions
into
account.
The
experimental
results
show
that
model
this
paper
has
higher
performance
compared
with
other
comparison
models.
Based
our
experiments,
yields
80.2%
mAP
GC10-DET
dataset
81.9%
NEU-DET
high
speed,
which
better
than
existing
IEEE Transactions on Industrial Informatics,
Journal Year:
2021,
Volume and Issue:
18(9), P. 6474 - 6482
Published: Nov. 24, 2021
As
the
basis
for
static
security
of
power
grid,
load
forecasting
directly
affects
safety
grid
operation,
rationality
planning,
and
economy
supply–demand
balance.
However,
various
factors
lead
to
drastic
changes
in
short-term
consumption,
making
data
more
complex
thus
difficult
forecast.
In
response
this
problem,
a
new
hybrid
model
based
on
variational
mode
decomposition
long
memory
with
seasonal
elimination
error
correction
is
proposed
article.
Comprehensive
case
studies
four
real-world
datasets
from
Singapore
United
States
are
employed
demonstrate
effectiveness
practicality
model.
The
experimental
results
show
that
prediction
accuracy
significantly
higher
than
contrast
models.
Applied Sciences,
Journal Year:
2022,
Volume and Issue:
12(2), P. 937 - 937
Published: Jan. 17, 2022
Industrial
robots
and
associated
control
methods
are
continuously
developing.
With
the
recent
progress
in
field
of
artificial
intelligence,
new
perspectives
industrial
robot
strategies
have
emerged,
prospects
towards
cognitive
arisen.
AI-based
robotic
systems
strongly
becoming
one
main
areas
focus,
as
flexibility
deep
understanding
complex
manufacturing
processes
key
advantage
to
raise
competitiveness.
This
review
first
expresses
significance
smart
future
factories
by
listing
needs,
requirements
introducing
envisioned
concept
robots.
Secondly,
current
trends
that
based
on
different
learning
explored.
Current
computer-vision,
reinforcement
imitation
approaches
possible
applications
investigated.
Gaps,
challenges,
limitations
open
issues
identified
along
way.
Procedia Computer Science,
Journal Year:
2023,
Volume and Issue:
217, P. 102 - 113
Published: Jan. 1, 2023
Smart
manufacturing
is
being
shaped
nowadays
by
two
different
paradigms:
Industry
4.0
proclaims
transition
to
digitalization
and
automation
of
processes
while
emerging
5.0
emphasizes
human
centricity.
This
turn
can
be
explained
unprecedented
challenges
faced
recently
societies,
such
as,
global
climate
change,
pandemics,
hybrid
conventional
warfare,
refugee
crises.
Sustainable
resilient
require
humans
get
back
into
the
loop
organizational
decision-making.
In
this
paper,
we
argue
that
most
reasonable
way
marry
extremes
value-based
human-driven
create
an
+
hybrid,
which
inherits
valuable
features
both
-
efficiency
sustainability
decisions.
Digital
cognitive
clones
twinning
decision-making
behavior
are
represented
as
enabling
technology
for
future
accelerator
(as
well
resilience
enabler)
convergence
digital
worlds.
Processes,
Journal Year:
2023,
Volume and Issue:
11(1), P. 193 - 193
Published: Jan. 7, 2023
Industry
5.0
presents
itself
as
a
strategy
that
puts
the
human
factor
at
centre
of
production,
where
well-being
worker
is
prioritized,
well
more
sustainable
and
resilient
production
systems.
For
centricity,
it
necessary
to
empower
beings
and,
respectively,
industrial
operators,
improve
their
individual
skills
competences
in
collaboration
or
cooperation
with
digital
technologies.
This
research’s
main
purpose
distinguishing
point
are
determine
whether
truly
human-oriented
how
centricity
can
be
created
that,
this
systematic
literature
review
article
analyses
clarifies
concepts
ideologies
its
respective
technologies
(Artificial
Intelligence,
Robotics,
Human-robot
collaboration,
Digitalization),
strategies
aim
achieving
systems,
especially
for
worker.
Technology in Society,
Journal Year:
2022,
Volume and Issue:
71, P. 102086 - 102086
Published: Aug. 21, 2022
This
systematic
review
brings
together
the
collection
of
recent
scholarly
outputs
on
disruptive
impact
digital
transformation
work.
paper
draws
from
a
sample
68
2011
to
2022.
We
identify
three
key
theoretical
perspectives:
socio-technical
systems
theory,
skill-biased
technological
change,
and
political
economy
transformation.
The
articles
provide
complementary
insights
cross-cutting
themes
unemployment,
wage
inequality
job
polarization.
They
also
highlight
often
conflicting
views
about
technology
ownership,
work-less
utopia,
education
reforms
imperative
human-centricity
in
appropriation
technology.
Drawing
findings
across
whole
spectrum
analytical
perspectives,
we
offer
critical
reflections
factors
that
will
define
work
future,
terms
skills,
creativity
opportunities
for
autonomous
workers.
discuss
institutional
processes
shape
future
Finally,
recommendations
research
policy
interventions.
Sensors,
Journal Year:
2023,
Volume and Issue:
23(2), P. 947 - 947
Published: Jan. 13, 2023
Today,
blockchain
is
becoming
more
popular
in
academia
and
industry
because
it
a
distributed,
decentralised
technology
which
changing
many
industries
terms
of
security,
building
trust,
etc.
A
few
applications
are
banking,
insurance,
logistics,
transportation,
Many
insurance
companies
have
been
thinking
about
how
could
help
them
be
efficient.
There
still
lot
hype
this
immutable
technology,
even
though
has
not
utilised
to
its
full
potential.
Insurers
decide
whether
or
use
blockchain,
just
like
other
businesses
do.
This
keeps
distributed
ledger
on
each
node,
making
secure
transparent.
The
network
can
operate
smart
contracts
convince
others
agree,
so
criminals
cannot
make
mistakes.
On
another
side,
the
Internet
Things
(IoT)
might
real-time
application
work
faster
through
automation.
With
integration
IoT,
there
will
always
problem
with
regarding
IoT
devices
mining
blockchain.
paper
gives
view
blockchain-IoT-based
for
Industry
4.0
Society
5.0.
last
sections
discuss
essential
topics
such
as
open
issues,
challenges,
research
opportunities
future
researchers
expand
applications.
