The Journal of Physical Chemistry Letters,
Год журнала:
2024,
Номер
unknown, С. 199 - 208
Опубликована: Дек. 23, 2024
The
rise
of
big
data
and
the
internet
things
has
driven
demand
for
multimodal
sensing
high-efficiency
low-latency
processing.
Inspired
by
human
sensory
system,
we
present
a
multifunctional
optoelectronic-memristor-based
reservoir
computing
(OM-RC)
system
utilizing
CuSCN/PbS
quantum
dots
(QDs)
heterojunction.
OM-RC
exhibits
volatile
nonlinear
responses
to
electrical
signals
wide-spectrum
optical
stimuli
covering
ultraviolet,
visible,
near-infrared
(NIR)
regions,
enabling
multitask
processing
dynamic
signals.
accurately
performs
health
monitoring
through
electroencephalogram
electrocardiogram
signal
analysis
achieves
object
traffic
trajectory
recognition
intelligent
driving
under
challenging
conditions
like
foggy
environments.
By
collaboratively
using
NIR
perception
recognition,
develop
human–computer
interaction
authentication
that
integrates
finger
veins
motion
behaviors
humans,
significantly
enhancing
security
traditional
fingerprint
anticounterfeiting
systems.
This
work
demonstrates
potential
QD-based
optoelectronic-memristor
in-sensor
applications.
Advanced Science,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 28, 2024
Abstract
Photonic
integrated
circuits
offer
miniaturized
solutions
for
multimodal
spectroscopic
sensory
systems
by
leveraging
the
simultaneous
interaction
of
light
with
temperature,
chemicals,
and
biomolecules,
among
others.
The
data
is
complex
has
huge
volume
high
redundancy,
thus
requiring
communication
bandwidth
associated
power
consumption
to
transfer
data.
To
circumvent
this
cost,
photonic
sensor
processor
are
brought
into
intimacy
propose
a
in‐sensor
computing
system
using
an
silicon
convolutional
processor.
A
microring
resonator
crossbar
array
used
as
implement
operation
5‐bit
accuracy,
validated
through
image
edge
detection
tasks.
Further
integrating
sensor,
in
situ
processing
demonstrated,
achieving
classification
protein
species
different
types
concentrations
at
various
temperatures.
accuracy
97.58%
across
45
classes
achieved.
demonstrates
feasibility
processors
sensors
enhance
capability
devices
edge.
Small Structures,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 8, 2024
The
rapid
advancement
of
artificial
intelligent
and
information
technology
has
led
to
a
critical
need
for
extremely
low
power
consumption
excellent
efficiency.
capacity
neuromorphic
computing
handle
large
amounts
data
with
garnered
lot
interest
during
the
last
few
decades.
For
applications,
2D
layered
semiconductor
materials
have
shown
pivotal
role
due
their
distinctive
properties.
This
comprehensive
review
provides
an
extensive
study
recent
advancements
in
materials‐based
devices
especially
multiterminal
synaptic
devices,
two‐terminal
neuronal
integration
devices.
Herein,
wide
range
potential
applications
memory,
computation,
adaptation,
intelligence
is
incorporated.
Finally,
limitations
challenges
based
on
novel
are
discussed.
Thus,
this
aims
illuminate
design
fabrication
van
der
Waals
(vdW)
heterostructure
materials,
leveraging
promising
engineering
techniques
excel
hardware
implementations.
Journal of Cloud Computing Advances Systems and Applications,
Год журнала:
2024,
Номер
13(1)
Опубликована: Ноя. 14, 2024
Internet
of
Things
(IoT)
platforms
have
become
the
building
blocks
any
automated
system
but
they
are
more
important
in
case
industrial
systems
where
sensitive
data
captured
and
handled
by
information
system.
Therefore,
it
is
imperative
to
deploy
right
IoT
platform
perform
computational
operational
tasks
a
better
way.
During
last
few
years,
an
array
technologies/platforms
with
different
capabilities
features
were
introduced
markets.
This
abrupt
rise
created
selection
decision-making
issues
particularly
for
network
engineers,
designers,
managers
due
lack
technical
understanding
skill
this
area.
we
present
integrated
assessment
model
focusing
on
evaluating
ranking
environment.
It
encompasses
multiple
methods
such
as
proposed
leverages
well-known
collection
technique
Delphi
related
criteria
features.
adopts
Analytic
Hierarchy
Process
(AHP)
giving
weights
The
Order
Preference
Similarity
Ideal
Solution
(TOPSIS)
method
has
been
applied
evaluation
top
twenty
(20)
Industrial
IoT(IIoT)
alternatives
according
criteria.
selects
most
rational
choice
that
can
be
employed
Industry
4.0
setting.
produces
accurate
consistent
outcomes.
Hence,
believed
used
guideline
stakeholders
like
researchers,
developers,
policymakers
deployment
first
kind
multi-methods
mode
assessment,
decision-making,
prioritization
technologies
industry
domain.
The Journal of Physical Chemistry Letters,
Год журнала:
2024,
Номер
unknown, С. 199 - 208
Опубликована: Дек. 23, 2024
The
rise
of
big
data
and
the
internet
things
has
driven
demand
for
multimodal
sensing
high-efficiency
low-latency
processing.
Inspired
by
human
sensory
system,
we
present
a
multifunctional
optoelectronic-memristor-based
reservoir
computing
(OM-RC)
system
utilizing
CuSCN/PbS
quantum
dots
(QDs)
heterojunction.
OM-RC
exhibits
volatile
nonlinear
responses
to
electrical
signals
wide-spectrum
optical
stimuli
covering
ultraviolet,
visible,
near-infrared
(NIR)
regions,
enabling
multitask
processing
dynamic
signals.
accurately
performs
health
monitoring
through
electroencephalogram
electrocardiogram
signal
analysis
achieves
object
traffic
trajectory
recognition
intelligent
driving
under
challenging
conditions
like
foggy
environments.
By
collaboratively
using
NIR
perception
recognition,
develop
human–computer
interaction
authentication
that
integrates
finger
veins
motion
behaviors
humans,
significantly
enhancing
security
traditional
fingerprint
anticounterfeiting
systems.
This
work
demonstrates
potential
QD-based
optoelectronic-memristor
in-sensor
applications.
