The
lighting
is
the
important
phenomena
that
are
used
in
our
day
to
life.
They
must
be
utilised
a
proper
way
without
any
consequences.
rise
demand
caused
due
functioning
of
equipment
unnecessary
leads
increase
consumption
power.
To
overcome
these
drawbacks,
digitalization
implemented.
This
done
through
internet
things.
helps
function
evolving
two
communication
system.
system
properly
functioned
analysing
illuminance
and
luminance.
Higher
or
lower
level
can
cause
various
constraints
physical
mental
health.
constraints,
proposed
thyristor
controlled
solid
state
switching
devices
withstand
rated
voltage
until
it
gets
triggered.
once
triggered,
current
triggering
phase
removed
turning
off
equipment.
percentage
visualised
matrix
keypad.
overall
monitored
For
cities
all
across
the
world,
handling
waste
of
garbage
has
become
a
significant
apprehension
as
urban
populations
continue
to
expand
rapidly
in
consecutive
years.
Smart
are
progressively
implementing
cutting-edge
solutions
that
formulated
through
integration
trash
management
systems
with
mobility
and
Internet
Things
(IoT)
technologies
effectively
address
this
issue.
IoT-enabled
sensors
devices
utilized
proposed
system
track
collect
real-time
data
on
levels.
This
helps
identification
bin
statuses
collection
routes.
These
installed
several
collecting
locations,
including
cans,
recycling
bins,
dumpsters,
enabling
ongoing
research
generation
patterns.
A
centralized
platform
receive
collected
for
analysis
decision-making.
The
includes
fleet
linked
rubbish
pickup
vehicles
GPS
tracking,
route
optimization
algorithms,
communication
modules
increase
efficiency.
With
aid
data,
these
given
routes
dynamically
assigned,
which
optimizes
schedules
lowers
fuel
use
emissions.
IoT-capable
keep
capacity
send
main
platform,
proactive
preventing
overflow.
core
analytics
machine
learning
virtual
using
IoT.
It
can
help
identify
hotspots,
forecast
trends
generation,
improve
routes,
produce
alerts
upkeep
service
needs.
Thus
provides
user-friendly
interface.
IEEE Access,
Journal Year:
2023,
Volume and Issue:
11, P. 55370 - 55379
Published: Jan. 1, 2023
Internet
of
Things
(IoT)
devices
are
becoming
increasingly
ubiquitous
in
daily
life.
They
utilized
various
sectors
like
healthcare,
manufacturing,
and
transportation.
The
main
challenges
related
to
IoT
the
potential
for
faults
occur
their
reliability.
In
classical
fault
detection,
client
device
must
upload
raw
information
central
server
training
model,
which
can
reveal
sensitive
business
information.
Blockchain
(BC)
technology
a
detection
algorithm
applied
overcome
these
challenges.
Generally,
fusion
BC
algorithms
give
secure
more
reliable
ecosystem.
Therefore,
this
study
develops
new
Assisted
Data
Edge
Verification
with
Consensus
Algorithm
Machine
Learning
(BDEV-CAML)
technique
Fault
Detection
purposes.
presented
BDEV-CAML
integrates
benefits
blockchain,
IoT,
ML
models
enhance
network's
trustworthiness,
efficacy,
security.
technology,
that
possess
significant
level
decentralized
decision-making
capability
attain
consensus
on
efficiency
intrablock
transactions.
For
network,
deep
directional
gated
recurrent
unit
(DBiGRU)
model
is
used.
Finally,
African
vulture
optimization
(AVOA)
optimal
hyperparameter
tuning
DBiGRU
helps
improving
rate.
A
detailed
set
experiments
were
carried
out
highlight
enhanced
performance
algorithm.
comprehensive
experimental
results
stated
improved
over
other
existing
maximum
accuracy
99.6%.
Frontiers in Psychology,
Journal Year:
2022,
Volume and Issue:
13
Published: June 30, 2022
The
purpose
of
this
research
is
to
investigate
the
effectiveness
Digital
Content
Marketing
(DCM)
on
a
Mixed
Reality
(MR)
training
platform
environment
with
consideration
online
purchase
intention
(OPI)
through
social
media.
E-commerce
today
encounters
several
common
issues
that
cause
customers
have
reservations
online.
With
absence
physical
contact
points,
often
perceive
more
risks
when
making
decisions.
Furthermore,
retailers
find
it
hard
engage
and
develop
long-term
relationships.
In
research,
Structural
Equation
Model
(SEM)
proposed
examine
efficacy
DCM
from
both
immediate
OPI.
results
whether
adopting
an
MR
media
brings
positive
in
Empirical
was
carried
out
questionnaires
collected
2021
2022.
A
total
374
were
qualified
for
data
analysis
study,
conducted
IBM
SPSS
AMOS.
imply
critical
stimulating
OPI
positively
affected
by
increasing
perceived
value
DCM.
Regarding
OPI,
increased
customer
engagement
under
can
cultivate
brand
trust
significantly
affect
International Journal of Low-Carbon Technologies,
Journal Year:
2025,
Volume and Issue:
20, P. 341 - 352
Published: Jan. 1, 2025
Abstract
To
improve
the
performance
of
new
energy-powered
robots,
a
method
for
optimizing
robots
has
been
proposed,
based
on
low-carbon
power
demand
forecasting
model.
The
approach
advocated
leveraging
to
optimize
system
design
and
control
strategies.
Then,
model
robotic
demands
was
established,
alongside
refinement
evaluation
mechanism.
Results
indicated
significant
correlation
between
operational
parameters
linked
performance.
precision
our
notably
high,
enabling
provision
specific
optimization
strategies
tailored
diverse
contexts.
IEEE Transactions on Engineering Management,
Journal Year:
2023,
Volume and Issue:
71, P. 9270 - 9285
Published: Nov. 1, 2023
As
e-commerce
has
become
more
prevalent,
the
required
logistics
operations
are
challenged
by
greater
demand
for
and
higher
complexity
of
order
picking
in
warehouses.
While
goods-to-person
(G2P)
systems,
such
as
robotic
mobile
fulfillment
becoming
popular,
there
still
challenges
G2P
including
unstable
performance
human
due
to
fatigue
errors,
constrained
mobility
robots.
To
tackle
these
challenges,
this
article
presents
a
new
storage
system,
which
we
call
RubikCell.
It
leverages
strengths
existing
warehouse
systems
incorporates
automatic
dispensing,
robot-to-goods
picking,
pick-while-sort
operations.
In
RubikCell,
robots
equipped
with
trays
store
transport
items
an
order,
instead
moving
heavy
pods
workstations
systems.
addition,
concept
cellular
warehousing
(CW)—inspired
manufacturing—aims
operate
large
smaller
cells.
This
approach
reduces
substantial
traveling
distances
robots,
they
move
within
their
dedicated
cells
rather
than
entire
warehouse.
A
mathematical
programming
model
is
developed
address
cell
formation
problem
CW.
Lastly,
implementation
CW
principles
forming
Robotic
Systems,
renders
flexible,
scalable,
reconfigurable.
Numerical
experiments
conducted
on
innovative
system
have
confirmed
effectiveness
method.
