Journal of Economics and Administrative Sciences,
Journal Year:
2023,
Volume and Issue:
29(135), P. 83 - 99
Published: March 30, 2023
In
light
of
the
general
inadequacy
in
performance
economic
units
operating
Iraq,
and
contemporary
developments
all
various
sciences,
Iraqi
have
become
obligated
to
use
modern
technologies
applied
around
world.
Keeping
abreast
these
is
done
by
moving
away
from
traditional
methods
evaluating
applying
approved
accepted
performance.
This
will
lead
an
increase
efficiency
effectiveness
activities
units.
addition,
this
drives
reduce
production
costs.
Accordingly,
study
aims
clarify
application
balanced
scorecard
technique
its
role
overall
unit
total
productive
maintenance
particular.
The
also
highlight
order
develop
industrial
sector.
research
selects
sulfuric
acid
factory
Al-Furat
Company
for
Chemical
Industries
Pesticides
as
a
sample
study.
most
important
finding
that
technique,
based
on
measures
impact
maintenance,
contributes
activities.
Paper
type:
Research
paper.
Buildings,
Journal Year:
2025,
Volume and Issue:
15(2), P. 197 - 197
Published: Jan. 10, 2025
Lining
cracking
is
among
the
most
prevalent
forms
of
tunnel
distress,
posing
significant
threats
to
operations
and
vehicular
safety.
The
segmentation
lining
cracks
often
hindered
by
influence
complex
environmental
factors,
which
makes
relying
solely
on
local
feature
extraction
insufficient
for
achieving
high
accuracy.
To
address
this
issue,
study
proposes
CGV-Net
(CNN,
GNN,
ViT
networks),
a
novel
crack
network
model
that
integrates
convolutional
neural
networks
(CNNs),
graph
(GNNs),
Vision
Transformers
(ViTs).
By
fostering
information
exchange
features,
enhances
comprehension
global
structural
patterns
improves
inference
capabilities
in
recognizing
intricate
configurations.
This
approach
effectively
addresses
challenge
modeling
contextual
extraction.
Additionally,
Detailed-Macro
Feature
Fusion
(DMFF)
module
enables
multi-scale
integration
combining
detailed
coarse-grained
mitigating
loss
encountered
during
encoding
decoding
stages,
further
improving
precision.
overcome
limitations
existing
public
datasets,
narrow
range
types
simplistic
backgrounds,
introduces
TunnelCrackDB,
dataset
encompassing
diverse
backgrounds.Experimental
evaluations
both
Crack
newly
developed
TunnelCrackDB
demonstrate
efficacy
CGV-Net.
On
dataset,
achieves
accuracy,
recall,
F1
scores
73.27%
57.32%,
respectively.
attains
81.15%,
83.54%,
82.33%,
respectively,
showcasing
its
superior
performance
challenging
tasks.
Applied Sciences,
Journal Year:
2023,
Volume and Issue:
13(14), P. 8554 - 8554
Published: July 24, 2023
A
scientifically
accurate
assessment
of
tunnel
health
is
the
prerequisite
for
safe
maintenance
and
sustainability
in-service
road
tunnel.
The
changing
trend
not
considered
in
existing
research.
Most
evaluation
indicators
are
static
ambiguities
or
randomness
at
boundary
level
intervals
neglected
most
methods.
In
this
paper,
index
system
combined
with
dynamic,
set
to
solve
these
problems.
state
tunnels
analyzed
through
cubic
b-spline
function.
weights
calculated
based
on
AHP-improved
entropy
method.
method
proposed
combing
extension
theory
cloud
model
improved
by
optimization
algorithm.
Finally,
results
compared
detection
data
Beilongmen
Tunnel
Zhangzhuo
Expressway.
demonstrate
that
80%
sample
consistent
standard
results,
remaining
20%
show
a
lower
than
results.
This
reflects
impacted
status
changes.
can
be
more
accurately
evaluated
dynamic
indicators.
feasible
applicable
tunnels.
work
provides
innovative
ideas
theoretical
support
formulation
reasonable
measures.
Risk Analysis,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 10, 2024
The
success
of
tunneling
projects
is
crucial
for
infrastructure
development.
However,
the
potential
leakage
risk
particularly
challenging
due
to
inherent
uncertainties
and
fuzziness
involved.
To
address
this
demanding
challenge,
a
hybrid
approach
integrating
copula
theory,
cloud
model,
matrix,
proposed.
dependence
multiple
risk-related
influential
factors
explored
by
construct
copula-cloud
diverse
information
fused
applying
matrix
gain
crisp
result.
A
case
study
performed
test
applicability
proposed
approach,
in
which
index
system
consisting
nine
critical
developed
Sobol-enabled
global
sensitivity
analysis
(GSA)
incorporated
investigate
contributions
different
magnitude.
Key
findings
are
as
follows:
(1)
Risk
statuses
studied
three
tunnel
sections
perceived
under
grade
I
(safe),
II
(low-risk),
III
(medium-risk),
respectively,
waterproof
material
aspect
found
prone
deteriorating
sections.
Furthermore,
allows
better
understanding
trends
(2)
Strong
interactions
between
exist
exert
impacts
on
final
results,
proving
necessity
studying
factor
dependence.
(3)
neutral
presents
strong
robustness
displays
higher
recognition
capacity
assessment.
novelty
research
lies
consideration
uncertainty
multisource
fusion
with
enabling
perform
robust
assessment
matrices
varying
degrees
tolerance.
