Buildings,
Год журнала:
2024,
Номер
14(11), С. 3349 - 3349
Опубликована: Окт. 23, 2024
This
paper
presents
an
IoT-based
solution
for
detecting
grouting
voids
in
tunnel
construction
using
the
Raspberry
Pi
microcomputer.
Voids
between
primary
and
secondary
linings
can
compromise
structural
integrity,
traditional
methods
like
GPR
lack
continuous
feedback.
The
proposed
system
uses
embedded
electrical
wires
lining
to
measure
conductivity,
with
disruptions
indicating
unfilled
voids.
monitors
this
real
time,
uploading
data
a
cloud
platform
engineer
access
via
smartphone.
Field
tests
were
conducted
full-scale,
600
m
long
evaluate
system’s
effectiveness.
demonstrated
accuracy
various
geometries,
including
straight
sections,
curves,
intersections.
Using
only
void
detection
system,
largest
detected
post-grouting
was
1.8
cm,
which
is
within
acceptable
limits
does
not
tunnel’s
integrity
or
safety.
proved
be
cost-effective
scalable
real-time
monitoring
during
process,
eliminating
need
manual
inspections.
study
highlights
potential
of
solutions
smart
construction,
providing
reliable
practical
method
improving
safety
operational
efficiency
operations.
SSRN Electronic Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
This
study
examines
the
potential
transformation
brought
about
by
integration
of
ChatGPT
in
advancing
cutting-edge
sustainable
construction
materials.
Encompassing
a
diverse
range
eco-friendly
options,
investigation
spans
recycled
materials,
renewable
resources,
low-carbon
concrete
alternatives,
energy-efficient
water-conserving
compounds,
green
roofing
steel
and
metal,
lightweight
The
utilization
materials
plays
pivotal
role
construction,
reducing
environmental
impact
repurposing
discarded
resources.
Similarly,
incorporation
aligns
with
sustainability
principles,
advocating
for
use
resources
that
can
naturally
replenish.
Low-carbon
alternatives
address
carbon
footprint
associated
traditional
production,
providing
more
environmentally
conscious
choice
research
explores
contribute
to
resource
conservation
diminished
energy
consumption
throughout
buildings'
lifecycle.
Water-conserving
are
scrutinized
their
addressing
water
scarcity
concerns,
promoting
responsible
usage
processes.
Green
renowned
insulation
properties
benefits,
studied
practices.
Additionally,
metal
seeking
reduced
production
usage.
Lightweight
investigated
enhance
efficiency
diminish
transportation-related
emissions.
An
integral
aspect
this
exploration
involves
evaluating
how
these
collectively
achieving
Sustainable
Development
Goals
(SDGs).
investigates
multifaceted
ways
which
align
propel
globally
recognized
goals.
To
guide
implementation
advancements,
proposes
comprehensive
framework.
framework
outlines
strategies
integrating
into
development
processes,
leveraging
artificial
intelligence
capabilities
efficacy
material
development.
By
merging
technological
innovation
practices,
aims
drive
industry
toward
socially
future.
Electronics,
Год журнала:
2024,
Номер
13(9), С. 1757 - 1757
Опубликована: Май 2, 2024
The
introduction
of
artificial
intelligence
(AI)
in
video
surveillance
systems
has
significantly
transformed
security
practices,
allowing
for
autonomous
monitoring
and
real-time
detection
threats.
However,
the
effectiveness
efficiency
AI-powered
rely
heavily
on
hardware
infrastructure,
specifically
high-performance
computing
(HPC)
architectures.
This
article
examines
impact
different
platforms
HPC
edge
servers,
including
x86
ARM
CPU-based
Graphics
Processing
Units
(GPUs),
speed
accuracy
processing
tasks.
By
using
advanced
deep
learning
frameworks,
a
system
based
YOLO
object
DeepSort
tracking
algorithms
is
developed
evaluated.
study
thoroughly
assesses
strengths,
limitations,
suitability
architectures
various
AI-based
scenarios.
Journal of Electrical Engineering,
Год журнала:
2024,
Номер
75(4), С. 297 - 303
Опубликована: Авг. 1, 2024
Abstract
This
paper
presents
a
method
for
improving
the
accuracy
of
determining
person's
proximity
to
building
entrance
in
urban
and
indoor
settings,
where
Global
Positioning
System
(GPS)
Wireless
Fidelity
(WiFi)
signals
are
often
interfered
with.
Fuzzy
logic
can
be
applied
variations
signal
strengths
order
interpret
inverse
relationship
between
GPS
weakening
WiFi
strengthening
as
person
approaches
or
enters
building.
As
result,
fuzzy
set
14
33
dBm
–68
–31
is
created,
separating
them
into
weak,
medium,
strong
signals.
By
using
rules,
system
accurately
determine
if
user
'far,'
'near,'
'at'
an
entrance,
mimicking
real-life
transitions
from
outdoor
environments.
The
this
approach
exceeded
90%
based
on
real-world
data,
it
significantly
improved
experience
navigation
applications,
particularly
cases
does
not
work
well.
International Journal of Building Pathology and Adaptation,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 20, 2024
Purpose
This
paper
evaluates
the
benefits
of
harnessing
artificial
intelligence
(AI)
tools
for
safety
compliance
on
construction
projects
in
Nigeria.
Design/methodology/approach
study
employed
a
specialised
approach
by
combining
qualitative
and
quantitative
approach.
The
carried
out
brief
systematic
literature
review
(SLR)
to
identify
variables
study.
These
were
prepared
questionnaire
which
was
distributed
among
professionals
within
Nigerian
sector
using
purposive
sampling.
A
total
140
questionnaires
retrieved.
collected
data
analysed
Relative
Importance
Index
(RII),
Ginni’s
Mean
(GM)
exploratory
factor
analysis
(EFA).
Findings
revealed
that
all
identified
hold
considerable
importance,
with
an
average
RII
0.86,
real-time
monitoring
as
most
prominent
advantage.
However,
GM
0.861,
“mitigation
hazards
worksites”
stationary
benefit
AI
compliance.
Research
limitations/implications
conducted
exclusively
Nigeria’s
Federal
Capital
Territory,
cross-sectional
survey
Practical
implications
results
will
be
valuable
practitioners
sector,
they
acquire
insights
into
potential
advantages
utilising
projects.
Originality/value
adopted
robust
identifying
combination
EFA.
Buildings,
Год журнала:
2024,
Номер
14(11), С. 3349 - 3349
Опубликована: Окт. 23, 2024
This
paper
presents
an
IoT-based
solution
for
detecting
grouting
voids
in
tunnel
construction
using
the
Raspberry
Pi
microcomputer.
Voids
between
primary
and
secondary
linings
can
compromise
structural
integrity,
traditional
methods
like
GPR
lack
continuous
feedback.
The
proposed
system
uses
embedded
electrical
wires
lining
to
measure
conductivity,
with
disruptions
indicating
unfilled
voids.
monitors
this
real
time,
uploading
data
a
cloud
platform
engineer
access
via
smartphone.
Field
tests
were
conducted
full-scale,
600
m
long
evaluate
system’s
effectiveness.
demonstrated
accuracy
various
geometries,
including
straight
sections,
curves,
intersections.
Using
only
void
detection
system,
largest
detected
post-grouting
was
1.8
cm,
which
is
within
acceptable
limits
does
not
tunnel’s
integrity
or
safety.
proved
be
cost-effective
scalable
real-time
monitoring
during
process,
eliminating
need
manual
inspections.
study
highlights
potential
of
solutions
smart
construction,
providing
reliable
practical
method
improving
safety
operational
efficiency
operations.
