Journal of Robotics and Control (JRC),
Год журнала:
2024,
Номер
5(1), С. 54 - 61
Опубликована: Янв. 4, 2024
Electrical
energy
efficiency
is
a
dynamic
in
itself
that
continues
to
be
driven
by
electrical
providers.
In
this
work,
long-range
(LoRa)
technology
used
monitor
DC
motors.
the
modern
world,
IoT
becoming
increasingly
prevalent.
Embedded
systems
are
now
widely
daily
life.
More
can
done
remotely
terms
of
control
and
monitoring.
LoRa
new
discovered
developing
rapidly.
addresses
need
for
battery-operated
embedded
devices.
long-range,
low-power
technology.
investigation,
transmitter
receiver
were
employed.
This
study
employed
range
cases
test
device.
first
instance,
there
no
barriers,
whereas
second
instance.
The
results
two
trials
showed
had
successful
communication.
study,
room
temperature
So
motor's
speed
adjusts
fluctuations
room's
temperature.
Additionally,
measuring
tools
sensors
utilised
investigation
contrasted.
encoder
sensor
INA
219
measured
study.
According
findings
experiment,
tool
was
functioning
properly.
Applied Sciences,
Год журнала:
2024,
Номер
14(24), С. 12056 - 12056
Опубликована: Дек. 23, 2024
This
systematic
literature
review
explores
the
intersection
of
AI-driven
digital
twins
and
IoT
in
creating
a
sustainable
building
environment.
A
comprehensive
analysis
125
papers
focuses
on
four
major
themes.
First,
are
examined
construction,
facility
management,
their
role
fostering
sustainability
smart
cities.
The
integration
AI
with
energy
optimization
for
zero-energy
buildings
is
discussed.
Second,
application
automation
manufacturing,
particularly
Industry
4.0
cyber-physical
systems,
evaluated.
Third,
emerging
technologies
urban
development,
including
blockchain,
cybersecurity,
EEG-driven
systems
buildings,
highlighted.
study
underscores
data-driven
approaches
flood
resilience
ecosystems.
contributes
to
by
identifying
how
can
optimize
use
enhance
both
industrial
contexts.
Buildings,
Год журнала:
2024,
Номер
14(9), С. 2616 - 2616
Опубликована: Авг. 23, 2024
The
construction
field
currently
suffers
from
low
productivity,
a
lack
of
expertise
among
practitioners,
weak
innovation,
and
predictability.
digital
twin,
an
advanced
technology,
empowers
the
sector
to
advance
towards
intelligent
transformation.
It
ultimately
aims
for
highly
accurate
simulation
achieve
comprehensive
optimization
all
phases
project.
Currently,
process
twin
applications
is
facing
challenges
such
as
poor
data
quality,
inability
harmonize
types
that
are
difficult
integrate,
insufficient
security.
Further
research
on
application
twins
in
domain
still
needed
accelerate
development
promote
their
practical
application.
This
paper
analyzes
commonly
used
architectures
literature
summarizes
technologies
implement
architectures,
including
artificial
intelligence,
machine
learning,
mining,
cyber–physical
systems,
internet
things,
virtual
reality,
augmented
reality
applications,
considers
advantages
limitations.
focus
this
centered
entire
lifecycle
project,
which
includes
design,
construction,
operation,
maintenance,
demolition
restoration
phases.
Digital
mainly
moving
integration
information,
model
automation,
system
control,
security
privacy.
present
management
challenges,
privacy
protection,
technical
manpower
development,
transformation
needs.
Future
should
address
these
by
improving
developing
robust
methodologies,
strengthening
measures.
Sustainability,
Год журнала:
2025,
Номер
17(2), С. 506 - 506
Опубликована: Янв. 10, 2025
Student
sleepiness
during
classes
is
a
frequently
reported
condition
that
can
impair
performance
in
the
teaching–learning
process
and
even
unsustainable
for
health.
Although
environmental
quality
of
classroom
may
affect
students’
sleepiness,
studies
exhaustively
investigate
relationship
between
indoor
(IEQ)
levels
classrooms
are
lacking.
To
this
end,
present
paper,
we
carried
out
an
experimental
pilot
study
involving
twenty-seven
Italian
adolescent
students
to
determine
increase
their
rate
school
period
utilizing
Epworth
Sleepiness
Scale
(ESS).
The
analysis
was
performed
which
monitored,
including
measurements
thermal
comfort,
sound
pressure
level,
illuminance,
carbon
dioxide
(CO2)
concentrations,
airborne
particle
concentrations
(both
sub-micrometric
particles
PM10).
Three
measurement
days
were
considered.
results
showed
student
significantly
increased
(Day
1
p
=
0.00,
Day
2
0.03,
3
0.03).
This
observed
on
characterized
as
having
both
perceived
higher
lower
comfort
presence
limited
exposure
presenting
association
with
high
concentration
CO2
detected
978
3261
ppm;
1044
2338
1116
2623
ppm),
due
reduced
ventilation
rates
sleepiness.
Thus,
findings
suggest
adequate
limit
indicating,
from
our
study,
recommendations
sustainable
practices
through
comprehensive
feasibility
promote
positive
changes
environments
such
classrooms.
