V-Shaped Dynamic Morphology Curve: A Sustainable Approach to Automotive Wheel Design
Sustainability,
Год журнала:
2025,
Номер
17(6), С. 2463 - 2463
Опубликована: Март 11, 2025
The
increasing
demand
for
efficiency,
brand
consistency,
and
sustainability
in
automotive
design
has
led
to
the
exploration
of
innovative
methods.
This
study
investigated
impact
V-shaped
Dynamic
Morphology
Curve
(VDMC)
on
outcomes
automobile
wheel
design.
A
total
24
designers
took
part,
divided
into
an
experimental
group
using
VDMC
a
control
traditional
CAD
uses
parametric
modeling
accelerate
iterations
while
maintaining
identity.
completed
task
31.5%
faster,
achieved
significantly
higher
consistency
(9.1/10
vs.
7.8/10),
reduced
number
by
53.2%
compared
group.
Furthermore,
made
50.9%
fewer
changes,
indicating
stability.
These
results
show
that
improves
efficiency
reducing
both
time
resource
consumption
ensuring
greater
alignment
with
guidelines.
highlights
potential
transform
practices
offers
notable
benefits
creative
processes
environmental
impact.
suggest
integrating
workflows
could
lead
significant
improvements
industry
beyond.
Язык: Английский
The Use of AI to Analyze Social Media Attacks for Predictive Analytics
Journal of Computing Theories and Applications,
Год журнала:
2024,
Номер
1(4), С. 386 - 395
Опубликована: Март 24, 2024
Social
engineering
(SE)
presents
weaknesses
that
are
difficult
to
quantify
in
penetration
testing
directly.
The
majority
of
expert
social
engineers
utilize
phishing
and
adware
tactics
convince
victims
provide
information
voluntarily.
SE
media
has
a
similar
structural
layout
regular
postings
but
malevolent
intrinsic
purpose.
Recurrent
Neural
Network-Long
Short-Term
Memory
(RNN-LSTM)
was
used
train
novel
model
recognize
covert
threats
communications
on
networks.
dataset
includes
various
posts,
including
text,
images,
videos.
It
compiled
over
period
several
months.
Then
carefully
curated
ensure
it
is
representative
the
types
content
typically
posted
media.
First,
using
domain
heuristics,
assaults
detection
(SEAD)
pipeline
intended
weed
out
posts
with
intent.
After
tokenizing
each
post
into
sentences,
examined
sentiment
analyzer
determine
whether
training
data
normal
or
an
abnormality.
Subsequently,
RNN-LSTM
trained
detect
five
categories
assaults,
some
which
may
involve
information-gathering
signals.
Thus,
proposed
SEA
yielded
classification
precision
0.82
recall
0.79.
Язык: Английский
AI-assisted design of lightweight and strong 3D-printed wheels for electric vehicles
PLoS ONE,
Год журнала:
2024,
Номер
19(12), С. e0308004 - e0308004
Опубликована: Дек. 2, 2024
The
automotive
industry
is
undergoing
a
transformative
shift
towards
electric
vehicles
(EVs),
driven
by
environmental
concerns
and
technological
advancements.
One
critical
aspect
of
EV
design
the
development
lightweight
yet
robust
components,
including
3D
vehicle
wheels.
This
research
explores
implementation
generative
models
in
Computer-Aided
Design
(CAD)
systems
to
optimize
wheels
for
vehicles.
Through
use
additive
manufacturing,
we
aim
create
that
are
energy-efficient,
aesthetically
pleasing,
structurally
sound.
Electric
gaining
popularity
due
their
benefits
reduced
operating
costs,
making
strong
an
important
goal.
proposes
novel
approach
designing
EVs
using
models.
proposed
involves
following
steps:
collect
prepare
data,
choose
model
architecture,
train
model,
generate
new
wheel
designs.
methods
show
potential
revolutionize
manufacturing
3D-printed
In
conclusion,
can
be
used
designs,
it
possible
safer,
more
efficient,
cost-effective
Язык: Английский