Information,
Journal Year:
2023,
Volume and Issue:
14(12), P. 628 - 628
Published: Nov. 23, 2023
Natural
light
continuously
changes
its
correlated
color
temperature
(CCT)
from
sunrise
to
sunset,
providing
the
best
reproducibility
and
healthy
light.
In
lighting
field,
efforts
have
been
made
improve
Color
Rendering
Index
(CRI)
provide
quality
at
same
level
as
natural
A
unique
source
technology
that
mixes
controls
multiple
LED
sources
with
different
spectral
or
CCT
characteristics
provides
a
high
rendering
index
has
introduced.
However,
of
light,
which
CRI
while
changing
every
moment,
could
not
be
reproduced
they
were.
Therefore,
in
this
paper,
we
propose
CRI-based
smart
system
reproduces
characteristics,
reproducibility,
maintains
homeostasis
even
under
environment
CCT.
After
extracting
for
each
day
measured
highest
condition
hour
was
provided
through
matching
algorithm.
Performance
evaluation
conducted
four-channel
experimental
lighting.
For
clear
cloudy
day,
daily
higher
than
average
98
within
MAE
range
6.78
K.
2022 IEEE Industry Applications Society Annual Meeting (IAS),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Oct. 29, 2023
This
paper
aims
to
identify
the
essential
purposes
for
smart
lighting
development
including
areas
of
application,
methodologies,
objectives,
potential
disruptions,
and
ethical
considerations.
Smart
can
enhance
citizens'
quality
life
ensure
safety
in
outdoor
environments.
Lighting
is
a
critical
factor
sustainable
development,
convergence
ICT
industries
rapidly
evolving.
The
evaluates
impacts
complex
intelligent
system,
behavior
end-users
its
effects
on
energy,
environment,
resources.
By
combining
innovation
with
overall
system
such
as
service
continuity,
energy-saving,
protection
people's
health,
contribute
minimally
adequate
underdeveloped
economies.
2022 International Conference for Advancement in Technology (ICONAT),
Journal Year:
2023,
Volume and Issue:
unknown, P. 1 - 6
Published: Jan. 24, 2023
This
paper
showcases
comparison
of
the
methods
for
dealing
with
artificial
lighting
control
strategy
aimed
at
optimizing
desired
illumination
levels
an
automated
indoor
system
based
on
daylight
availability,
Indoor
Lighting
which
performs
by
dimming
LED
luminaries
luminance
through
sensor.
Here,
is
designed
to
ensure
a
minimum
recommended
light
level
that
simulated
in
python
environment.
In
this
simulation,
office
space
i.e,
500
Lux
has
been
implemented.
senses
brightness
different
environments
and
automatically
adjusts
bulb
as
per
requirement
user.
three
machine
learning
algorithms
have
used
controlling
system:
fuzzy
logic
controllers,
ant-colony
optimization,
ant-lion
optimization.
All
compared
their
performance
results
respect
lux
net
room
lux.
The
adoption
parameters
are
module
wherein
sensor
will
be
simulation
system.
Journal of Engineering Research and Reports,
Journal Year:
2023,
Volume and Issue:
25(3), P. 7 - 12
Published: May 27, 2023
This
paper
emphasizes
the
need
for
efficient
energy
consumption
in
buildings
due
to
increase
pollution
and
economic
growth,
which
has
led
an
worldwide.
Therefore,
a
real-time
management
system
is
needed
overcome
deficiency
of
improve
efficiency.
Further
adopt
modern
architecture,
we
introduce
artificial
intelligence;
identify
factors
involved
optimizing
important
factor.
The
also
suggests
different
machine
learning
(ML)
based
algorithms
data
cleaning,
processing,
analysis.
includes
studies
that
used
AI-based
techniques
systems,
including
reinforcement
learning,
rule-based
approach,
mixed
integer
linear
programming,
reduce
by
20%-30%.
use
AI
holds
great
potential
world’s
scientific
community.
technology
enables
data-driven
decision-making,
fosters
conservation,
promotes
advancements
field
science,
contributing
greener
more
sustainable
future.
concludes
approaches
energy-efficient
systems
can
predict
future
demands
using
previous
building
characteristics,
making
it
than
monitoring
alert
systems.
Information,
Journal Year:
2023,
Volume and Issue:
14(12), P. 628 - 628
Published: Nov. 23, 2023
Natural
light
continuously
changes
its
correlated
color
temperature
(CCT)
from
sunrise
to
sunset,
providing
the
best
reproducibility
and
healthy
light.
In
lighting
field,
efforts
have
been
made
improve
Color
Rendering
Index
(CRI)
provide
quality
at
same
level
as
natural
A
unique
source
technology
that
mixes
controls
multiple
LED
sources
with
different
spectral
or
CCT
characteristics
provides
a
high
rendering
index
has
introduced.
However,
of
light,
which
CRI
while
changing
every
moment,
could
not
be
reproduced
they
were.
Therefore,
in
this
paper,
we
propose
CRI-based
smart
system
reproduces
characteristics,
reproducibility,
maintains
homeostasis
even
under
environment
CCT.
After
extracting
for
each
day
measured
highest
condition
hour
was
provided
through
matching
algorithm.
Performance
evaluation
conducted
four-channel
experimental
lighting.
For
clear
cloudy
day,
daily
higher
than
average
98
within
MAE
range
6.78
K.
