ADH-YOLO: a small object detection based on improved YOLOv8 for airport scene images in hazy weather
The Journal of Supercomputing,
Journal Year:
2025,
Volume and Issue:
81(3)
Published: Feb. 15, 2025
Language: Английский
Implementing an Industry 4.0 UWB-Based Real-Time Locating System for Optimized Tracking
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(5), P. 2689 - 2689
Published: March 3, 2025
The
Internet
of
Things
(IoT)
provides
technical
solutions
for
monitoring
assets
in
facility
layouts,
and
this
is
further
strengthened
by
the
development
sophisticated
software
tools
intralogistics
operations.
present
research
a
taxonomy
existing
tracking
technologies
comparison
matrix
supporting
decision
making
when
selecting
most
suitable
technology
real-time
indoor
areas.
Although
numerous
exist,
ultra-wideband
(UWB)
has
gained
significant
attention
recent
years
due
to
its
exceptional
positioning
accuracy
ability
operate
effectively
challenging
environments
with
obstacles,
even
under
non-line-of-sight
(NLOS)
conditions.
Specifically,
focuses
on
location
system
(RTLS)
that
designed
implemented
monitor
based
UWB
technology.
Additionally,
new
algorithm
introduced
reduce
localization
errors
attempting
exclude
NLOS
measurements
from
tag’s
position
calculations.
experiments
showcased
proposed
improves
overall
error
24%,
reporting
an
RMSE
0.124
m
0.163
normal
trilateration
method.
experimental
results
highlight
efficiency
solution
fast
accurate
real-world
environments.
Language: Английский
A study on the application of sensor network for teaching rock climbing in college students’ health monitoring
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2025,
Volume and Issue:
10(1)
Published: Jan. 1, 2025
Abstract
In
this
paper,
a
real-time
health
monitoring
system
based
on
multi-source
sensors
is
constructed
using
modularized
approach,
and
the
mechanism
of
generating
human
physiological
parameters
such
as
pulse
wave,
blood
pressure
saturation
heart
rate
introduced.
After
that,
an
adaptive
Kalman
filtering
algorithm
used
to
obtain
actual
state
real
values
system.
Finally,
linear
regression
model
oxygen
value
R-value
was
established
by
Lambert-Beer
law
monitor
college
students’
physical
health,
application
effect
analyzed
taking
rock
climbing
teaching
example.
The
results
show
that
measures
rate,
arterial
saturation,
systolic
pressure,
diastolic
with
very
high
accuracy
minimal
error.
There
were
no
significant
differences
between
experimental
group
control
prior
experiment
in
terms
upper
limb
specific
strength
6
technical
assessment
items
(P
>
0.05).
12
weeks
training,
groups
before
after
<
However,
mean
pull-ups,
hanging
feelers
categories
techniques
improved
10.71,
9.79
cm
15.35%-17.70%,
respectively;
while
5.33,
3.66
6.14%-7.41%.
contrast,
enhancement
more
noticeable.
It
can
be
seen
proposed
paper
effective
students
climbing.
Language: Английский
AI-Powered Location Intelligence: Revolutionizing Site Selection and Investment Decisions
Anil Kumar Reddy Avula
No information about this author
International Journal of Scientific Research in Computer Science Engineering and Information Technology,
Journal Year:
2024,
Volume and Issue:
10(6), P. 1735 - 1742
Published: Dec. 17, 2024
This
comprehensive
article
explores
the
transformative
impact
of
artificial
intelligence
on
location
and
site
selection
in
commercial
real
estate
industry.
The
examines
how
AI-powered
systems
are
revolutionizing
traditional
approaches
to
property
analysis,
investment
decisions,
operational
efficiency
across
various
sectors.
Through
an
examination
current
implementations,
benefits,
future
trends,
this
analysis
demonstrates
machine
learning
models,
advanced
analytics,
real-time
data
processing
capabilities
enabling
more
accurate
predictions,
improved
decision-making,
enhanced
performance
highlights
significant
advancements
areas
such
as
retail
selection,
office
space
development,
industrial
optimization,
while
also
addressing
quantifiable
benefits
return
AI
implementation.
Language: Английский