Sustainability,
Journal Year:
2023,
Volume and Issue:
16(1), P. 63 - 63
Published: Dec. 20, 2023
Automated
vehicles
(AVs)
are
recognized
as
one
of
the
most
effective
measures
to
realize
sustainable
transport.
These
can
reduce
emissions
and
environmental
pollution,
enhance
accessibility,
improve
safety,
produce
economic
benefits
through
congestion
reduction
cost
savings.
However,
consumer
acceptance
trust
in
these
not
ideal,
which
affects
diffusion
speed
AVs
on
market.
Providing
transparent
explanations
AV
behaviour
is
a
method
for
building
confidence
technologies.
In
this
study,
we
investigated
explainability
user
interface
information
an
Valet
Parking
(AVP)
system—one
first
L4
automated
driving
systems
with
large
commercial
landing.
Specifically,
proposed
scenario-based
explanation
framework
based
explainable
AI
examined
effects
drivers’
objective
subjective
performance.
The
results
Experiment
1
indicated
that
effectively
improved
situational
experience
(UX),
thereby
enhancing
perception
understanding
drivers
had
system’s
intelligence
capabilities.
significantly
reduced
mental
workload
elevated
performance
evaluations.
2,
uncovered
distinct
preferences
among
new
frequent
users.
New
users
sought
increased
transparency,
benefiting
from
guided
explanations.
contrast,
emphasised
efficiency
safety.
final
experimental
confirmed
solutions
customised
different
segments
population
more
effective,
satisfying,
trustworthy
than
generic
solutions.
findings
demonstrate
individual
differences,
our
framework,
have
significant
implications
adoption
sustainability
AVs.
GSC Advanced Research and Reviews,
Journal Year:
2024,
Volume and Issue:
18(1), P. 336 - 363
Published: Jan. 30, 2024
Precision
agriculture
has
revolutionized
modern
farming
practices
by
integrating
cutting-edge
technologies
such
as
sensors,
drones,
and
data
analytics
to
optimize
crop
management.
While
these
advancements
offer
unprecedented
benefits
in
terms
of
yield
optimization
resource
efficiency,
they
also
raise
significant
concerns
regarding
the
security
privacy
sensitive
agricultural
data.
This
research
paper
delves
into
intricate
landscape
precision
privacy,
aiming
identify
potential
threats,
vulnerabilities,
corresponding
measures
necessary
for
safeguarding
farmers'
ensuring
sustainability
practices.
The
study
employs
a
multidisciplinary
approach,
combining
insights
from
computer
science,
agriculture,
studies
provide
comprehensive
overview.
Through
an
analysis
existing
frameworks
regulations,
this
proposes
recommendations
development
implementation
robust
protocols
privacy-enhancing
tailored
unique
challenges
agriculture.
findings
contribute
ongoing
dialogue
on
responsible
technology
adoption
emphasizing
importance
striking
balance
between
innovation
protection
information
era
farming.
Electronics,
Journal Year:
2023,
Volume and Issue:
12(10), P. 2327 - 2327
Published: May 22, 2023
The
wide
application
of
Ethereum
smart
contracts
in
the
Internet
Things,
finance,
medical,
and
other
fields
is
associated
with
security
challenges.
Traditional
detection
methods
detect
vulnerabilities
by
stacking
hard
rules,
which
are
bottleneck
a
high
false-positive
rate
low
efficiency.
To
make
up
for
shortcomings
traditional
methods,
existing
deep
learning
improve
model
performance
combining
multiple
models,
resulting
complex
structures.
From
perspective
optimizing
feature
space,
this
study
proposes
vulnerability
scheme
based
on
metric
bidirectional
long
short-term
memory
(BiLSTM)
network.
First,
source
code
contract
preprocessed,
word
vector
representation
used
to
extract
features.
Secondly,
combined
BiLSTM
optimize
space
realize
cohesion
similar
discreteness
heterogeneous
contracts,
improving
accuracy.
In
addition,
an
attention
mechanism
introduced
screen
key
features
enhance
observability.
proposed
method
was
evaluated
large-scale
dataset
containing
four
types
vulnerabilities:
arithmetic
vulnerabilities,
re-entrancy
unchecked
calls,
inconsistent
access
controls.
results
show
that
exhibits
excellent
performance.
accuracy
rates
reached
88.31%,
93.25%,
91.85%,
90.59%,
respectively.
IET Renewable Power Generation,
Journal Year:
2024,
Volume and Issue:
18(15), P. 3509 - 3535
Published: May 26, 2024
Abstract
Significant
attempts
have
been
made
to
make
the
electrical
grid
more
intelligent
and
responsive
better
meet
customers'
requirements
while
boosting
stability
efficiency
of
current
power
systems.
Smart
technologies,
which
just
recently
emerged,
facilitated
incorporation
demand
response
(DR)
by
introducing
an
information
communication
backbone
system.
The
Internet
Things
(IoT)
has
emerged
as
a
key
technology
for
smart
energy
grids.
Security
concerns
major
obstacle
widespread
adoption
IoT‐enabled
devices
because
inherent
connectivity
these
gadgets.
Therefore,
security
is
crucial
factor
address
before
implementation
IoT‐based
in
In
this
study,
framework
architecture
grids
that
are
enabled
IoT
first
examined.
Then,
role
DR
different
approaches
adopted
worldwide
schemes
effective,
discussed
detail.
Finally,
authors
discuss
how
can
benefit
from
cutting‐edge
solutions
technologies
them
secure
resistant
cyber
physical
attacks.
European Journal of Finance,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 37
Published: Jan. 20, 2025
We
explore
volatility
spillover
effects
between
mainstream
cryptocurrencies
and
energy
token
markets
in
the
120
days
following
three
notable
Blockchain
bridge
heists
2022.
Using
DCC-GARCH
model,
we
find
significant
Bitcoin,
Ethereum,
tokens
like
Power
Ledger
Token
Energy
Web
post-heists.
This
indicates
heightened
investor
concern
panic
trading
impacting
markets.
Our
analysis
also
reveals
a
herding
behaviour
under
market
stress
increased
liquidity
issues,
leading
to
broader
quality
deterioration.
Based
on
these
findings,
propose
regulatory
enhancements
'Energy
Future
Fund'
support
stability
growth
of
International Journal of Intelligent Information Systems,
Journal Year:
2025,
Volume and Issue:
14(1), P. 1 - 6
Published: Feb. 10, 2025
Climate
Change
is
one
of
the
biggest
concerns
21<sup>st</sup>
century
due
to
its
worldwide
economic,
social,
and
environmental
causes
consequences
which
primarily
impact
poor
countries.
models
indicate
that
if
present
emissions
trends
continue,
temperatures
might
rise
by
more
than
2°C,
alarming.
As
a
result,
over
next
40
years,
yearly
per
person
must
be
gradually
reduced
from
about
seven
tons
two
tons.
Blockchain
technology,
provides
decentralized,
transparent,
unchangeable
system
can
encourage
sustainable
practices,
has
become
game-changing
instrument
in
struggle
combat
climate
change.
This
study
investigates
how
blockchain
used
improve
programs'
efficiency,
accountability,
transparency
fight
against
Better
carbon
tracking,
renewable
energy
certificate
verification,
assistance
for
supply
chains
are
all
made
possible
blockchain's
special
features.
technology
lot
promise
change
promote
development,
but
uptake
needs
balanced
with
factors
like
scalability
efficiency.
It
offer
long-term
answers
issues
advancing
low-energy
consensus
methods
enabling
legislation,
fostering
transparent
global
economy.
review
offers
important
insights
different
stakeholders
looking
use
improvement
highlighting
benefits
difficulties
incorporating
into
action
plans.
In
end,
this
research
emphasizes
although
not
magic
bullet
problems,
it
great
potential
as
component
larger
set
solutions
required
successfully
lessen
effects.
