Buildings,
Год журнала:
2024,
Номер
15(1), С. 16 - 16
Опубликована: Дек. 24, 2024
This
study
presents
a
framework
for
integrating
digital
twins
and
knowledge
graphs
to
enhance
heritage
building
conservation,
addressing
challenges
in
environmental
stress
management,
material
degradation,
structural
integrity
while
preserving
historical
authenticity.
Using
validated
synthetic
data,
the
enables
real-time
monitoring,
predictive
maintenance,
emergency
response
through
twin
connected
graph.
Four
scenarios
were
simulated
evaluate
system
performance:
high
humidity
exceeding
75%
threshold
triggered
alerts
limestone
maintenance;
temperature
fluctuations
caused
strain
levels
up
0.009
units
load-bearing
components
at
35
°C,
necessitating
inspection;
cumulative
degradation
monitoring
projected
re-plastering
needs
by
month
eight
as
plaster
index
approached
85%;
sudden
impact
events
responses,
with
spikes
over
0.004
prompting
within
2.5
s.
Response
times
averaged
50
ms
under
normal
conditions,
peaking
150
during
high-frequency
updates,
showing
robust
Application
Programming
Interface
(API)
performance
data
synchronization.
SPARQL
(SPARQL
Protocol
RDF
Query
Language)
queries
graph
facilitated
proactive
maintenance
scheduling,
reducing
reactive
interventions
supporting
sustainable
especially
suited
humid–temperate
climates.
offers
novel,
structured
approach
that
bridges
modern
technology
preservation
needs,
both
urgent
conservation
long-term
sustainability
ensure
resilience
of
buildings.
Machines,
Год журнала:
2024,
Номер
12(12), С. 851 - 851
Опубликована: Ноя. 26, 2024
With
the
wide
application
of
computer-aided
manufacturing
(CAM)
software,
enterprises
have
accumulated
a
wealth
numerical
control
(NC)
programming
data,
providing
valuable
knowledge
resources
for
new
products’
development.
Efficiently
acquiring
and
reusing
existing
NC
is
essential
enhancing
efficiency,
improving
product
quality,
shortening
cycles.
This
study
proposes
an
intelligent
method
based
on
graph.
Firstly,
relevant
in
domain
analyzed,
CAM
elements
are
constructed
to
reduce
granularity
knowledge.
Then,
ontology
layer
data
achieve
development
Next,
reasoning
performed
graph
through
entity
alignment
semantic
rule-based
reasoning.
Furthermore,
address
issues
low
reliability,
limited
applicability
need
frequent
manual
modifications
templates
guided
by
graph,
completion
neighborhood
aggregation
enhancement
proposed.
Finally,
system
developed,
comparative
experiments
with
mainstream
algorithms
public
datasets
few-shot
conducted,
validating
effectiveness
proposed
experimenting
key
components
marine
diesel
engines.
Advances in marketing, customer relationship management, and e-services book series,
Год журнала:
2024,
Номер
unknown, С. 201 - 218
Опубликована: Ноя. 22, 2024
Consumer
satisfaction
in
small
and
medium-sized
businesses
India
is
examined
this
research
as
it
relates
to
Enterprise
Resource
Planning
(ERP)
systems.
The
study's
overarching
goal
enhance
ERP
system
optimisation
for
both
users
the
company's
bottom
line
by
determining
what
aspects
of
influence
customers'
happiness.
System
quality
(SQ),
Information
(IQ),
service
(SEQ),
perceived
utility
(PU)
are
four
hypotheses
that
tested
study
see
which
one
correlates
with
customer
pleasure.
Four
hundred
people
from
five
different
firms
filled
out
questionnaires
research.
participants
all
had
a
minimum
year
experience
enterprise
resource
planning
software.
hypothesis
data
obtained
surveys
analysed
using
multiple
regression
analysis.
results
showed
statistically
significant
positive
relationship
between
satisfaction,
systems
quality,
usefulness
but
no
causal
information
quality.
Buildings,
Год журнала:
2024,
Номер
15(1), С. 16 - 16
Опубликована: Дек. 24, 2024
This
study
presents
a
framework
for
integrating
digital
twins
and
knowledge
graphs
to
enhance
heritage
building
conservation,
addressing
challenges
in
environmental
stress
management,
material
degradation,
structural
integrity
while
preserving
historical
authenticity.
Using
validated
synthetic
data,
the
enables
real-time
monitoring,
predictive
maintenance,
emergency
response
through
twin
connected
graph.
Four
scenarios
were
simulated
evaluate
system
performance:
high
humidity
exceeding
75%
threshold
triggered
alerts
limestone
maintenance;
temperature
fluctuations
caused
strain
levels
up
0.009
units
load-bearing
components
at
35
°C,
necessitating
inspection;
cumulative
degradation
monitoring
projected
re-plastering
needs
by
month
eight
as
plaster
index
approached
85%;
sudden
impact
events
responses,
with
spikes
over
0.004
prompting
within
2.5
s.
Response
times
averaged
50
ms
under
normal
conditions,
peaking
150
during
high-frequency
updates,
showing
robust
Application
Programming
Interface
(API)
performance
data
synchronization.
SPARQL
(SPARQL
Protocol
RDF
Query
Language)
queries
graph
facilitated
proactive
maintenance
scheduling,
reducing
reactive
interventions
supporting
sustainable
especially
suited
humid–temperate
climates.
offers
novel,
structured
approach
that
bridges
modern
technology
preservation
needs,
both
urgent
conservation
long-term
sustainability
ensure
resilience
of
buildings.
