2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA),
Journal Year:
2023,
Volume and Issue:
unknown, P. 403 - 410
Published: Aug. 18, 2023
This
paper
proposes
extending
the
system-level
programming
language
SystemJ
to
interact
with
industry
control
software
TwinCAT
introduce
dynamic
behaviors
into
TwinCAT-based
systems.
The
approach
extends
abstract
signal
classes
using
Automation
Device
Specification
(ADS)
protocol
access
status
and
variables,
allowing
new
high-level
concepts
like
reconfigurability
of
industrial
automation
systems
originally
designed
traditional
languages
tools.
We
created
prototypes
realistic
manufacturing
testbeds
conducted
experiments
validate
proposed
by
accessing
different
types
variables.
IEEE Access,
Journal Year:
2023,
Volume and Issue:
11, P. 67626 - 67639
Published: Jan. 1, 2023
Smart
manufacturing
is
transforming
the
industry
by
enhancing
productivity
and
quality,
driving
growth
in
global
economy.
The
Internet
of
Things
(IoT)
has
played
a
crucial
role
realizing
Industry
4.0,
where
machines
can
communicate
interact
real-time.
Despite
these
advancements,
security
remains
major
challenge
developing
deploying
smart
manufacturing.
As
cyber-attacks
become
more
prevalent,
researchers
are
making
top
priority.
Although
IoT
Industrial
(IIoT)
used
to
establish
industries,
systems
remain
vulnerable
various
types
attacks.
To
address
issues,
numerous
authentication
methods
have
been
proposed.
However,
many
known
attacks,
such
as
physical
security,
privileged-insider,
impersonation
or
high
computational
communication
costs,
them
unsuitable
for
resource-limited
devices.
Therefore,
this
paper,
we
present
new
approach
mutual
between
flexible
system
unit,
user,
server.
It
enables
secure
an
IIoT-enabled
system,
which
represents
industry.
This
achieved
through
establishment
session
keys.
analysis
shows
effectiveness
proposed
solution
resisting
Additionally,
comparison
with
other
existing
schemes
reveals
that
our
proposal
outperforms
terms
performance.
International Journal of Production Research,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 18
Published: Feb. 13, 2025
With
the
development
towards
Industry
5.0,
manufacturing
companies
are
developing
Smart
Production
–
namely,
using
data
as
a
resource
to
interconnect
elements
in
production
system
for
more
resource-efficient
and
sustainable
production.
Selection
integration
of
digital
technologies
crucial
steps
ensure
that
suitable
technology
is
chosen
properly
introduced
system.
However,
having
one
not
enough;
rather
there
need
combine
several
synergising
smart
There
many
challenges
when
selecting
integrating
combination
Therefore,
purpose
this
paper
support
systematically
efficiently
benefiting
value
chains
This
employed
multiple
case
study
involving
within
different
industries
sizes.
The
analyses
current
related
selection
proposes
flow
framework
with
possible
ways
combining
technologies.
proposed
shows
alternative
flows
between
depending
on
what
selected
how
they
integrated.
International Journal of Distributed Systems and Technologies,
Journal Year:
2025,
Volume and Issue:
16(1), P. 1 - 20
Published: Feb. 15, 2025
This
study
addresses
the
challenge
of
selecting
optimal
locations
for
urban
sports
facilities,
leveraging
strengths
ant
colony
optimization
(ACO)
algorithm.
An
enhanced
ACO
model
is
proposed,
incorporating
population
density
and
distance
to
facilities
as
critical
factors
in
objective
function.
The
employs
a
unique
pheromone
updating
strategy
that
reduces
search
time
improves
solution
quality.
Two
updates
levels
are
performed,
initial
distribution
reset
based
on
path
distances.
effectiveness
demonstrated
through
case
Yuhua
District,
Changsha
City,
where
it
successfully
identifies
prime
public
facilities.
research
contributes
literature
facility
siting
planning
by
offering
practical
optimizing
infrastructure
within
cities.
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 4282 - 4300
Published: Jan. 1, 2024
In
manufacturing,
biologicalisation
defines
the
analysis
of
biological
patterns
as
a
source
inspiration
to
model
intelligent
manufacturing
systems.
This
is
highly
desirable
an
answer
increasing
complexity
modeling
current
engineering
solutions
which
are
required
be
self-organized,
cooperative,
and
autonomous.
Building
on
this
line
research,
our
paper
introduces
framework
inspired
by
notion
"reciprocal
altruism"
observed
in
species
like
vampire
bats.
The
goal
twofold;
first,
showcase
bio-inspired
methodological
guidelines
altruism
context.
Second,
foster
cooperative
behaviors
among
its
constitutive
resources
(equipment,
machine,
or
robot
that
capable
autonomously
performing
task).
core
idea
revolves
around
assignment
two
roles:
altruistic/donors
recipients.
context,
individuals
willing
share
their
capabilities
with
those
need,
even
at
potential
cost
own
fitness.
We
believe
concept
has
versatile
applications
various
scenarios,
ranging
from
peer-to-peer
energy
sharing
mobile
robots
load
tool
sharing.
work,
we
instantiate
control
logic,
functionalities,
proof
altruistic
approach,
focusing
tool-sharing
illustrative
application.
Our
preliminary
results
demonstrate
improvement
when
comparing
approach
manual
one.
particularly
evident
considering
production
downtime
rate
fluctuations
caused
defects.
These
findings
underscore
tangible
benefits
can
offer
addressing
ongoing
challenges
smart
especially
terms
design.
Processes,
Journal Year:
2024,
Volume and Issue:
12(7), P. 1315 - 1315
Published: June 25, 2024
Scheduling
and
optimization
have
a
central
place
in
the
research
area
of
computing
because
it
is
increasingly
important
to
achieve
fully
automated
production
processes
adjust
manufacturing
systems
requirements
Industry
4.0.
In
this
paper,
we
demonstrate
how
an
wet-etch
scheduling
problem
for
semiconductor
industry
can
be
solved
by
constraint
answer
set
programming
(CASP)
its
solver
called
clingcon.
A
successful
solution
achieved,
found
that
all
tested
problems,
CASP
faster
obtains
smaller
makespan
values
seven
eight
problems
than
solutions
based
on
mixed
integer
linear
paradigms.
The
considered
includes
robot
lot
transfers
between
baths.
hybrid
approach
reasoning
combines
different
areas
such
as
programming,
processing,
Satisfiability
Modulo
Theories.
For
long
time,
exact
methods
displayed
difficulties
solving
real
large-scale
instances.
Currently,
performance
state-of-the-art
solvers
comparatively
better
decade
ago,
some
complex
combinatorial
solved.
These
theoretical
technical
achievements
open
new
horizons
declarative
applications
logistics.
