HangCon: Benchmark Data Set for Enhanced Detection of Hanging Objects in Construction Sites
Gilsu Jeong,
No information about this author
Seong-Eun Park,
No information about this author
Joonseok Lee
No information about this author
et al.
Journal of Computing in Civil Engineering,
Journal Year:
2025,
Volume and Issue:
39(2)
Published: Jan. 9, 2025
Language: Английский
Computer vision-aided audio dataset generation for recognizing construction equipment actions
Gilsu Jeong,
No information about this author
Moonseo Park,
No information about this author
Changbum R. Ahn
No information about this author
et al.
Automation in Construction,
Journal Year:
2025,
Volume and Issue:
171, P. 106014 - 106014
Published: Jan. 28, 2025
Language: Английский
A UAV-based multi-defect real-time detection system for tunnel lining using attention mechanism-enhanced detection model
Tunnelling and Underground Space Technology,
Journal Year:
2025,
Volume and Issue:
162, P. 106630 - 106630
Published: April 15, 2025
Language: Английский
SRGAN-enhanced unsafe operation detection and classification of heavy construction machinery using cascade learning
Bubryur Kim,
No information about this author
Eui-Jung An,
No information about this author
Sung-Ho Kim
No information about this author
et al.
Artificial Intelligence Review,
Journal Year:
2024,
Volume and Issue:
57(8)
Published: July 13, 2024
Abstract
In
the
inherently
hazardous
construction
industry,
where
injuries
are
frequent,
unsafe
operation
of
heavy
machinery
significantly
contributes
to
injury
and
accident
rates.
To
reduce
these
risks,
this
study
introduces
a
novel
framework
for
detecting
classifying
operations
five
types
machinery.
Utilizing
cascade
learning
architecture,
approach
employs
Super-Resolution
Generative
Adversarial
Network
(SRGAN),
Real-Time
Detection
Transformers
(RT-DETR),
self-DIstillation
with
NO
labels
(DINOv2),
Dilated
Neighborhood
Attention
Transformer
(DiNAT)
models.
The
focuses
on
enhancing
detection
classification
in
through
upscaling
low-resolution
surveillance
footage
creating
detailed
high-resolution
inputs
RT-DETR
model.
This
enhancement,
by
leveraging
temporal
information,
improves
object
accuracy.
performance
cascaded
pipeline
yielded
an
average
first-level
precision
96%,
second-level
accuracy
98.83%,
third-level
98.25%,
among
other
metrics.
integration
models
presents
well-rounded
solution
near-real-time
dynamic
environments,
advancing
technologies
contributing
safety
management
within
industry.
Language: Английский
Evaluation of cooling measures performance and thermal-humidity environment for ultra-high geothermal railway tunnel construction by using WBGT
Kaiming Zhao,
No information about this author
Wenhui Ji,
No information about this author
Xiaoling Cao
No information about this author
et al.
Engineering Applications of Computational Fluid Mechanics,
Journal Year:
2024,
Volume and Issue:
18(1)
Published: June 10, 2024
High-geothermal
damage
is
one
of
the
major
challenges
in
high-speed
railway
tunnel
construction.
Current
studies
have
shortcomings
formation
mechanism
environment
and
evaluation
system.
This
may
lead
to
an
over-optimal
environmental
acceptability
jeopardize
construction
safety.
study
established
a
mathematical
model
mechanism,
proposed
wet-bulb
globe
temperature
(WBGT)
standard
(26.49°C)
for
construction,
analysed
cooling
efficiency
different
control
measures.
The
results
show
that
increasing
mechanical
air
supply
volume
can
reduce
temperature.
Fog
cannon
near
working
face,
range
front
face
10.8
m.
shield
WBGT
below
standard.
Under
90°C
rock
temperature,
under
pure
ventilation
0%;
single
fog
double
(both
cooperate
with
double-duct
ventilation)
are
22.85%
54.29%
respectively;
duct
95.72%.
improves
system
during
stage,
provides
design
reference
measures
Language: Английский
Dynamic Response of Foundations during Startup of High-Frequency Tunnel Equipment
Dawei Ruan,
No information about this author
Mingwei Hu
No information about this author
Computer Modeling in Engineering & Sciences,
Journal Year:
2024,
Volume and Issue:
140(1), P. 821 - 844
Published: Jan. 1, 2024
The
specialized
equipment
utilized
in
long-line
tunnel
engineering
is
evolving
towards
large-scale,
multifunctional,
and
complex
orientations.
vibration
caused
by
the
high-frequency
units
during
regular
operation
supported
foundation
of
units,
magnitude
operating
frequency
fluctuate
different
contexts,
leading
to
variations
dynamic
response
foundation.
yield
significantly
diverse
outcomes
under
startup
conditions
times,
resulting
failure
meet
operational
requirements,
influencing
normal
function
tunnel,
causing
harm
structure,
personnel,
property
severe
cases.
This
article
formulates
a
finite
element
numerical
computation
model
for
solid
elements
using
three-dimensional
elastic
body
theory
integrates
field
measurements
substantiate
ascertain
crucial
parameter
configurations
model.
By
proposing
comprehensive
timing
machines
conditions,
simulating
process,
suggesting
functions
changes
magnitude,
simulated
schedule
created
through
coupling.
Taking
into
account
selection
transient
analysis
step
length,
results
lower
its
fundamental
crossing
process
are
obtained.
validation
checks
if
structural
surpasses
safety
threshold
critical
phase
unit
traversing
resonance
region.
design
recommendations
units'
foundations
provided,
taking
machine
ensuring
safe
tunnel.
Language: Английский
Meet2Mitigate: An LLM-powered framework for real-time issue identification and mitigation from construction meeting discourse
G. Chen,
No information about this author
Abdullah Alsharef,
No information about this author
Anto Ovid
No information about this author
et al.
Advanced Engineering Informatics,
Journal Year:
2024,
Volume and Issue:
64, P. 103068 - 103068
Published: Dec. 24, 2024
Language: Английский
CMLsearch: Semantic Visual Search and Simulation through Segmented Color, Material, and Lighting in Interior Image
Semin Jin,
No information about this author
Jiin Choi,
No information about this author
Kyung Hoon Hyun
No information about this author
et al.
Journal of Computational Design and Engineering,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 30, 2024
Abstract
In
product
search
systems,
user
behavior
changes
according
to
their
intentions,
requiring
adaptations
in
system
requirements
and
information
modeling.
When
purchasing
home
decor
products,
users
must
consider
existing
setting
(EHS)
the
need
pair
multiple
elements,
not
just
a
single
product.
However,
no
systems
assist
with
varied
intents
(Target-Finding
Decision-Making
scenarios),
nor
have
they
focused
on
research
that
helps
various
elements
of
user's
setting.
Therefore,
we
introduce
CMLsearch:
semantic
visual
segments
color,
material,
lighting,
includes
light
CCT
simulation.
study
(N
=
44),
CMLsearch
significantly
improved
satisfaction
decisions
compared
conventional
systems.
The
reflected
intent,
offering
object-level
control
supported
more
searches
target-finding
scenarios
broader
exploration
decision-making
scenarios.
simulation
further
boosted
confidence
by
allowing
visualize
products
under
different
lighting
conditions.
Language: Английский