Advanced Energy and Sustainability Research,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 2, 2024
Clean
energy
has
emerged
as
the
focal
point
of
global
and
power
development.
With
advancement
5G
technology
Internet
Things
(IoT),
demand
for
sustainable
supply
become
more
pressing,
leading
to
widespread
attention
vibration
harvesting
technology.
This
enables
conversion
vibrational
from
natural
phenomena
such
ocean
waves
wind,
well
machinery
operation
human
activities,
into
electrical
energy,
thus
supporting
expansion
self‐sustained
IoT
systems.
review
provides
an
overview
progress
in
discusses
integration
this
with
self‐powered
sensors
artificial
intelligence.
These
integrations
are
reflected
enhanced
accuracy
environmental
monitoring,
increased
efficiency
intelligent
transportation
industrial
production,
improved
quality
life
through
healthcare
smart
home.
Such
applications
demonstrate
significant
potential
promoting
sustainability
elevating
level
living.
In
summary,
exploring
applying
support
autonomous
devices
is
key
building
a
sustainable,
intelligent,
interconnected
world.
Advanced Energy Materials,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: Nov. 18, 2022
Abstract
The
advancement
of
the
Internet
Things/5G
infrastructure
requires
a
low‐cost
ubiquitous
sensory
network
to
realize
an
autonomous
system
for
information
collection
and
processing,
aiming
at
diversified
applications
ranging
from
healthcare,
smart
home,
industry
4.0
environmental
monitoring.
triboelectric
nanogenerator
(TENG)
is
considered
most
promising
technology
due
its
self‐powered,
cost‐effective,
highly
customizable
advantages.
Through
use
wearable
electronic
devices,
advanced
TENG
developed
as
core
enabling
self‐powered
sensors,
power
supplies,
data
communications
aforementioned
applications.
In
this
review,
advancements
TENG‐based
electronics
regarding
materials,
material/device
hybridization,
systems
integration,
convergence,
in
environment
monitoring,
transportation,
homes
toward
future
green
earth
are
reported.
Cell Reports Physical Science,
Journal Year:
2023,
Volume and Issue:
4(1), P. 101191 - 101191
Published: Jan. 1, 2023
Monitoring
respiration
is
vital
for
personal
diagnosis
of
chronic
diseases.
However,
the
existing
respiratory
sensors
have
severe
limitations,
such
as
single
function,
finite
detection
parameters,
and
lack
smart
signal
analysis.
Here,
we
present
an
integrated
wearable
low-cost
monitoring
sensor
(RMS)
system
with
artificial
intelligence
(AI)-assisted
abnormality
by
detecting
multi-parameters
human
respiration.
Coupling
intelligent
analysis
data
mining
algorithms
embedded
in
a
phone
app,
lighter
7.3
g
can
acquire
real-time
self-calibrated
including
breathing
frequency,
apnea
hypopnea
index
(AHI),
capacity
(VC),
peak
expiratory
flow
(PEF),
other
indexes
accuracy
>95.21%.
The
be
wirelessly
transferred
to
user's
cloud
terminal.
RMS
enables
comprehensive
multi-physiological
parameters
auxiliary
diagnosing
classifying
diseases,
sleep
apnea,
rhinitis,
lung
well
rehabilitation
COVID-19,
exhibits
advantages
portable
healthcare.
ACS Nano,
Journal Year:
2023,
Volume and Issue:
17(7), P. 6435 - 6451
Published: March 20, 2023
The
evolution
of
artificial
intelligence
things
(AIoT)
drastically
facilitates
the
development
a
smart
city
via
comprehensive
perception
and
seamless
communication.
As
foundation,
various
AIoT
nodes
are
experiencing
low
integration
poor
sustainability
issues.
Herein,
cubic-designed
intelligent
piezoelectric
node
iCUPE
is
presented,
which
integrates
high-performance
energy
harvesting
self-powered
sensing
module
micromachined
lead
zirconate
titanate
(PZT)
thick-film-based
high-frequency
(HF)-piezoelectric
generator
(PEG)
poly(vinylidene
fluoride-co-trifluoroethylene)
(P(VDF-TrFE))
nanofiber
thin-film-based
low-frequency
(LF)-PEGs,
respectively.
LF-PEG
HF-PEG
with
specific
frequency
up-conversion
(FUC)
mechanism
ensures
continuous
power
supply
over
wide
range
10-46
Hz,
record
high
density
17
mW/cm3
at
1
g
acceleration.
cubic
design
allows
for
orthogonal
placement
three
FUC-PEGs
to
ensure
response
vibrational
sources
from
different
directions.
triaxial
sensor
(TPS)
combined
machine
learning
(ML)
assisted
units
by
using
LF-PEGs
achieve
high-precision
multifunctional
vibration
recognition
resolutions
0.01
g,
2°
acceleration,
frequency,
tilting
angle,
respectively,
providing
accuracy
98%-100%.
This
work
proves
feasibility
developing
ML-based
accelerometer
gyroscope
functions
resonant
frequencies.
proposed
sustainable
highly
scalable
explore
capabilities
under
diverse
environments,
essential
implementation.
Advanced Sensor Research,
Journal Year:
2023,
Volume and Issue:
2(8)
Published: April 7, 2023
Abstract
Significant
growth
in
the
development
and
deployment
of
artificial
intelligence
(AI)
is
being
witnessed.
Driven
by
great
versatility
emerging
computer
science
material
science,
various
AI
sensors
provide
cost‐effective
approaches
for
a
wide
range
monitoring
applications
toward
realization
smart
homes
personal
healthcare.
Advanced
have
multiple
capable
detecting
multidimensional
information
human‐brain‐like
computation
device
data
processing.
Herein,
this
review
outlines
recent
advances
sensors.
This
first
introduces
materials,
fabrication
methods,
algorithms
current
their
applications,
i.e.,
complementary
metal
oxide
semiconductor
image
vision,
microelectromechanical
systems,
microphone
voice
recognition,
wearable
gesture
recognition.
Then,
wearables
self‐powered
sensor
systems
are
highlighted.
Next,
developments
neuromorphic
computing
multimodality,
digital
twins
reviewed.
Last,
perspective
on
future
directions
further
research
also
provided.
In
summary,
trend
advanced
between
edge
cloud
computing,
which
will
show
potential
buildings,
individual
healthcare,
Internet
things,
etc.
Artificial Intelligence Review,
Journal Year:
2024,
Volume and Issue:
57(10)
Published: Aug. 20, 2024
Abstract
In
response
to
the
burgeoning
interest
in
Metaverse—a
virtual
reality-driven
immersive
digital
world—this
study
delves
into
pivotal
role
of
AI
shaping
its
functionalities
and
elevating
user
engagement.
Focused
on
recent
advancements,
prevailing
challenges,
potential
future
developments,
our
research
draws
from
a
comprehensive
analysis
grounded
meticulous
methodology.
The
study,
informed
by
credible
sources
including
SD,
Scopus,
IEEE,
WoS,
encompasses
846
retrieved
studies.
Through
rigorous
selection
process,
54
papers
were
identified
as
relevant,
forming
basis
for
specific
taxonomy
Metaverse.
Our
examination
spans
diverse
dimensions
Metaverse,
encompassing
augmented
reality,
mixed
Blockchain,
Agent
Systems,
Intelligent
NPCs,
Societal
Educational
Impact,
HCI
Systems
Design,
Technical
Aspects.
Emphasizing
necessity
adopting
trustworthy
findings
underscore
enhance
experience,
safeguard
privacy,
promote
responsible
technology
use.
This
paper
not
only
sheds
light
scholarly
Metaverse
but
also
explores
impact
human
behavior,
education,
societal
norms,
community
dynamics.
Serving
foundation
development
implementation
concept,
identifies
addresses
seven
open
issues,
providing
indispensable
insights
subsequent
studies
integration
