A systematic review of criteria influencing the integration of BIM and Immersive Technology in building projects
Journal of Information Technology in Construction,
Journal Year:
2025,
Volume and Issue:
30, P. 243 - 297
Published: March 7, 2025
Integrating
Building
Information
Modeling
(BIM)
and
Immersive
Technologies
(ImT)
provides
several
benefits,
such
as
the
inclusion
of
clients
in
design
process,
thereby
improving
construction
management
practices.
BIM's
propensity
for
digital
data
management,
coupled
with
ImT's
enhanced
communication
coordination
capabilities,
addresses
inherent
issues
like
fragmentation
collaboration
challenges
projects.
While
prior
studies
have
primarily
examined
BIM
ImT
individually,
limited
research
has
explored
synergistic
integration
these
two
technologies
potential
benefits
they
can
offer
when
combined
context
architecture,
engineering,
(AEC)
industry.
This
paper
reviews
strategies
prospects
integrating
existing
literature,
aiming
to
identify
categorize
key
socio-technical
criteria
that
support
successful
ImT.
A
Systematic
Literature
Review
(SLR)
was
accordingly
employed,
following
PRISMA
guidelines,
analyzing
56
academic
journals
from
Scopus
ASCE
Library
databases
on
building
projects
2013
May
2023.
The
results
reveal
various
attributes
integration,
including
use
BIM-related
software
Autodesk
Revit,
hardware
Oculus
Rift
HTC
Vive,
game
engines
Unity3D,
standards
FBX,
collaborative
platforms
360
Trimble
Connect.
Essential
technical
were
identified
aspects:
emphasizing
system
optimization
seamless
exchange,
alongside
non-technical
focusing
user
engagement,
learning,
effective
stakeholder
collaboration.
study
also
highlights
significant
gaps,
need
standardized
methodologies,
more
detailed
discussions,
user-centric
strategies,
pinpointing
areas
further
exploration
refine
practices
while
providing
valuable
insights
into
adoption
efficacy
transformation
AEC
sector.
Language: Английский
Detecting and Analyzing Network Attacks: A Time-Series Analysis Using the Kitsune Dataset
Dima Abu Khalil,
No information about this author
Yousef Abuzir
No information about this author
Journal of Emerging Computer Technologies,
Journal Year:
2024,
Volume and Issue:
5(1), P. 9 - 23
Published: Nov. 2, 2024
Network
security
is
a
critical
concern
in
today’s
digital
world,
requiring
efficient
methods
for
the
automatic
detection
and
analysis
of
cyber
attacks.
This
study
uses
Kitsune
Attack
Dataset
to
explore
network
traffic
behavior
IoT
devices
under
various
attack
scenarios,
including
ARP
MitM,
SYN
DoS,
Mirai
Botnet.
Utilizing
Python-based
data
tools,
we
preprocess
analyze
millions
packets
uncover
patterns
indicative
malicious
activities.
The
employs
packet-level
time-series
visualize
detect
anomalies
specific
each
type.
Key
findings
include
high
packet
volumes
attacks
such
as
SSDP
Flood
Botnet,
with
Botnet
involving
multiple
IP
addresses
lasting
over
2
hours.
Notable
attack-specific
behaviors
on
port
-1
targeted
ports
like
53195.
DoS
are
characterized
by
their
prolonged
durations,
suggesting
significant
disruption.
Overall,
highlights
distinctive
underscores
importance
understanding
these
characteristics
enhance
response
mechanisms.
Language: Английский