Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(19), P. 8943 - 8943
Published: Oct. 4, 2024
The
Internet
of
Things
is
currently
one
the
fastest-growing
branches
computer
science.
development
5G
wireless
networks
and
modern
data
transmission
protocols
offers
excellent
opportunities
for
rapid
in
this
field.
article
presents
an
overview
monitoring
control
systems
based
on
Things.
authors
discuss
various
aspects
these
systems,
including
their
architecture,
applications,
challenges.
We
focus
analyzing
latest
achievements
field,
considering
technological
innovations
practical
applications
sectors.
Also,
we
emphasize
importance
integrating
from
multiple
sources
developing
analysis
algorithms
to
ensure
effectiveness
precision
IoT-based
systems.
provides
a
valuable
current
state
knowledge
dynamic
area,
inspiring
further
research
development.
It
also
includes
case
studies
showing
IoT
device
energy
consumption
management.
Artificial Intelligence Evolution,
Journal Year:
2025,
Volume and Issue:
unknown, P. 30 - 43
Published: Jan. 17, 2025
Integrating
artificial
intelligence
(AI)
and
machine
learning
(ML)
into
smart
home
systems
has
significantly
advanced
improved
residential
energy
efficiency,
addressing
growing
concerns
around
conservation
sustainability.
Choosing
appropriate
AI/ML
techniques
to
optimize
consumption
in
the
dynamic
contemporary
environment
remains
a
complex
challenge.
This
study
investigates
range
of
algorithms
such
as
regression
models,
deep
learning,
clustering,
decision
trees
enhance
management
homes.
The
highlights
core
processes
optimization,
including
data
acquisition,
feature
extraction,
model
evaluation,
well
specific
roles
each
technique
optimizing
usage.
also
discusses
strengths
weaknesses
used
for
It
further
explores
application
areas
emerging
challenges
security
risks,
high
implementation
costs,
gaps
existing
technology
that
impact
scalability
solutions
contexts.
findings
reveal
can
effectively
transform
homes,
enabling
real-time
optimization
adaptive
decision-making
minimize
reduce
costs.
Additionally,
future
research
directions.
Young Consumers Insight and Ideas for Responsible Marketers,
Journal Year:
2023,
Volume and Issue:
25(1), P. 1 - 27
Published: Aug. 22, 2023
Purpose
This
study
aims
to
investigate
how
artificial
intelligence
(AI)-powered
smart
home
devices
affect
young
consumers'
requirements
for
convenience,
support,
security
and
monitoring,
as
well
their
ability
advance
environmental
sustainability.
also
examines
the
variables
that
impact
users'
motivation
use
AI-powered
devices,
such
perceived
value,
ease
of
use,
social
presence,
identity,
technology
moderating
trust.
Design/methodology/approach
The
responses
from
residents
Sarawak,
Malaysia,
were
collected
through
online
questionnaires.
aimed
examine
perceptions
millennials
zillennials
towards
trust
adoption
devices.
used
a
quantitative
approach,
relationships
among
constructs
analysed
using
partial
least
squares
-
structural
equation
modelling.
Findings
present
found
usefulness,
presence
main
motivators
actual
potential
users
especially
in
determining
intentions
usage.
Additionally,
there
was
effect
on
relationship
between
identity
intention
homes.
Originality/value
To
best
authors’
knowledge,
this
is
one
first
studies
factors
influencing
adoption.
provided
meaningful
insights
development
strategies
key
stakeholders
enhance
usage
promising
Borneo
states.
contributed
growing
body
knowledge
associations
acceptance
model
dimensions,
technology,
with
Electronics,
Journal Year:
2024,
Volume and Issue:
13(5), P. 826 - 826
Published: Feb. 20, 2024
Dynamic
voltage
and
frequency
scaling
(DVFS)
is
a
technique
used
to
optimize
energy
consumption
in
ultra-low-power
embedded
systems.
To
ensure
sufficient
computational
capacity,
the
system
must
scale
up
its
performance
settings.
The
objective
conserve
times
of
reduced
demand
and/or
when
battery
power
used.
Fast
Fourier
Transform
(FFT),
Cyclic
Redundancy
Check
32
(CRC32),
Secure
Hash
Algorithm
256
(SHA256),
Message-Digest
5
(MD5)
are
focused
functions
that
achieve
energy-efficient
performance.
Selected
operations
analyzed
from
perspective.
In
this
manner,
required
perform
specific
function
observed,
thereby
mitigating
influence
instruction
set
or
architecture.
For
stable
operating
scaling,
an
exponential
model
for
calculation
presented.
Statistical
significance
tests
conducted
validate
support
findings.
Results
show
proposed
optimization
reduces
applications
27.74%
47.74%.
Electronics,
Journal Year:
2024,
Volume and Issue:
13(16), P. 3200 - 3200
Published: Aug. 13, 2024
The
Internet
of
Things
(IoT)
envisions
the
interconnection
all
electronic
devices,
ushering
in
a
new
technological
era.
IoT
and
5G
technology
are
linked,
complementing
each
other
manner
that
significantly
enhances
their
impact.
As
sensors
become
increasingly
embedded
our
daily
lives,
they
transform
everyday
objects
into
“smart”
devices.
This
synergy
between
sensor
networks
creates
dynamic
ecosystem
where
infrastructure
provided
by
5G’s
high-speed,
low-latency
communication
enables
devices
to
function
more
efficiently
effectively,
paving
way
for
innovative
applications
services
enhance
awareness
interactions
with
world.
Moreover,
application-oriented
multifunctional
antennas
need
be
developed
meet
these
high
demands.
In
this
review,
comprehensive
analysis
is
conducted
based
on
application
characteristics.
It
important
note
that,
best
knowledge,
first
time
categorization
has
been
performed
literature.
Indeed,
comparing
across
different
without
considering
specific
operational
contexts
not
practical.
review
focuses
four
primary
fields:
smart
homes,
cities,
biomedical
implantable
Smart Cities,
Journal Year:
2024,
Volume and Issue:
7(4), P. 1502 - 1550
Published: June 26, 2024
This
study
undertakes
a
systematic
literature
review,
framed
by
eight
research
questions,
and
an
exploration
into
the
state-of-the-art
concerning
smart
home
innovations
for
care
of
older
adults,
ethical,
security,
privacy
considerations
in
deployment,
integration
technology,
user
interaction
experience,
design
accessibility.
The
review
evaluates
role
technologies
(SHTs)
enhancing
lives
focusing
on
their
cost-effectiveness,
ease
use,
overall
utility.
inquiry
aims
to
outline
both
advantages
these
offer
supporting
adults
obstacles
that
impede
widespread
adoption.
Throughout
investigation,
58
studies
were
analyzed,
selected
relevance
discourse
applications
adults.
selection
came
from
search
published
between
2010
2023,
ensuring
up-to-date
understanding
field.
findings
highlight
potential
SHTs
improve
various
aspects
daily
living
including
safety,
health
monitoring,
social
interaction.
However,
also
identifies
several
challenges,
high
costs
associated
with
technologies,
complex
nature,
ethical
concerns
surrounding
autonomy.
To
address
presents
recommendations
increase
accessibility
user-friendliness
Among
these,
educational
initiatives
are
emphasized
as
strategy
technology
acceptance,
along
suggestions
optimizations
wearable
devices
enhance
comfort
adaptability.
implications
this
significant,
offering
insights
researchers,
practitioners,
developers,
policymakers
engaged
creating
implementing
solutions
By
opportunities
barriers
SHTs,
supports
future
efforts
create
more
inclusive,
practical,
supportive
environments
aging
populations.
Energies,
Journal Year:
2025,
Volume and Issue:
18(5), P. 1269 - 1269
Published: March 5, 2025
With
greenhouse
gas
emissions
and
climate
change
continuing
to
be
major
global
concerns,
researchers
are
increasingly
focusing
on
reducing
energy
consumption
as
a
key
strategy
address
these
challenges.
In
recent
years,
various
devices
technologies
have
been
developed
for
residential
buildings
implement
energy-saving
strategies
enhance
efficiency.
This
paper
presents
real-time
IoT-based
smart
monitoring
system
designed
optimize
residents’
safety
through
efficient
of
home
conditions
appliance
usage.
The
is
built
Raspberry
Pi
Model
4B
its
core
platform,
integrating
IoT
sensors,
including
the
DS18B20
temperature
monitoring,
BH1750
measuring
light
intensity,
passive
infrared
(PIR)
sensor
motion
detection,
MQ7
carbon
monoxide
detection.
Adafruit
IO
platform
used
both
data
storage
design
graphical
user
interface
(GUI),
enabling
residents
remotely
control
their
environment.
Our
solution
significantly
enhances
efficiency
by
status
lighting
heating
systems
notifying
users
when
active
in
unoccupied
areas.
Additionally,
improved
IFTTT
notifications,
which
alert
if
exceeds
set
limit
or
detected.
device
tested
university
building,
demonstrating
reliability,
accuracy,
detecting
conditions.
Journal of Product & Brand Management,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 21, 2025
Purpose
The
objective
of
this
study
is
to
explore
the
effect
family
and
message
type
interactions
on
sales
smart
home
products.
hypothesizes
that
dual-earner
parents,
a
prolific
segment
consumers,
will
indicate
greater
willingness
pay
for
products
when
exposed
characteristics-related
marketing
messages.
Design/methodology/approach
Two
quasi-experimental
studies
were
conducted
test
hypothesis.
In
collaboration
with
Samsung
Electronics,
used
different
product
bundles
(Smart
Air
Care
Smart
Safety
Care),
recruited
distinct
participant
groups
(parents
children
aged
three
five
parents
zero
three)
manipulated
types
benefits-related
messages
(a
user
review
video
teaser
page).
Findings
response
messaging,
exhibited
compared
This
difference
was
not
found
among
single-earner
parents.
Originality/value
Challenging
conventional
assumptions,
findings
demonstrate
do
universally
appeal
while
can
increase
segment.
Electronics
in
setting
strengthens
external
validity
results,
suggesting
marketers
should
tailor
messaging
strategies
based
characteristics
customer
segments.
International Journal of Electrical and Electronics Research,
Journal Year:
2025,
Volume and Issue:
13(1), P. 148 - 155
Published: March 30, 2025
Smart
systems
are
utilized
for
home
applications
to
enhance
the
protection
reliability
and
cost
economy.
The
main
challenges
of
a
smart
system
time
process,
decision
reliability,
fault
classification,
ability
connect
with
Internet
Things
(IoT).
In
this
proposal,
power
meter
will
be
designed
using
artificial
intelligence
(AI)
IoT.
fuzzy
logic
microcontroller
internet
application
parameters.
Results
show
that
successfully
classified
discovered
via
notify
customer
about
situations
power.
manages
protects
home’s
devices
from
damage.
