Research Square (Research Square),
Год журнала:
2022,
Номер
unknown
Опубликована: Июнь 10, 2022
Abstract
Background:
During
the
COVID-19
pandemic,
which
emerged
in
2020,
many
patients
were
treated
isolation
wards
because
of
high
infectivity
and
long
incubation
period
COVID-19.
Therefore,
monitoring
systems
have
become
critical
to
patient
care
safeguard
medical
professional
safety.
Objective:
The
user
interface
is
very
important
surveillance
system;
therefore,
we
use
web
technology
develop
a
system
that
can
create
an
based
on
needs.
When
scene
needs
be
changed,
location
changed
at
any
time,
effectively
reducing
costs
time
required,
so
achieve
timely
appropriate
goals
treatment.
Methods:
ZigBee
was
employed
for
intensive
units
(ICUs).
Unlike
conventional
GUIs,
proposed
GUI
enables
various
aspects
patient,
modified
according
A
simulated
ICU
environment
designed
test
effectiveness
system.
nodes
set
up
positions
consistent
with
actual
clinical
environments
measure
required
switch
between
scenes
or
targets
GUI.
Results:
low-cost
construct
ZigBee-simulated
graphical
interfaces
demand
this
study.
overcome
limitations
design
methods
interfaces.
Conclusion:
This
used
simultaneously
monitor
basic
physiological
data
numerous
patients,
enabling
nursing
professionals
instantly
determine
status
provide
treatments.
applied
remote
after
official
adoption.
Applied Sciences,
Год журнала:
2023,
Номер
13(12), С. 7326 - 7326
Опубликована: Июнь 20, 2023
The
advancement
of
the
Internet
Things
applications
(technologies
and
enabling
platforms),
consisting
software
hardware
(e.g.,
sensors,
actuators,
etc.),
allows
healthcare
providers
users
to
analyze
measure
physical
environments
at
home
or
hospital.
measured
environment
parameters
contribute
improving
in
real
time.
Researchers
this
domain
require
existing
representative
datasets
develop
machine-learning
techniques
learn
variables
from
surrounding
environments.
available
environmental
are
rare
need
too
much
effort
be
generated.
To
our
knowledge,
it
has
been
noticed
that
no
for
some
countries,
including
Saudi
Arabia.
Therefore,
paper
presents
one
first
data
generated
Arabia’s
environment.
advantage
dataset
is
encourage
researchers
investigate
effectiveness
machine
learning
such
an
collected
will
also
help
utilize
deep
algorithms
smart
health
care
based
on
Arabia
a
special
each
session,
especially
northern
area
where
we
work,
hot
summer
cold
winter.
measurements
both
sessions
important
research
community,
those
working
indoor
six
sensors
(timestamps,
light,
temperature,
humidity,
pressure,
altitude
sensors).
room
were
31
days
July
2022,
acquiring
8910
records.
include
columns
different
types
represent
sensor
values.
During
experiment,
captured
every
5
min,
storing
them
comma-separated
value
file.
already
validated
publicly
PLOMS
Press
can
applied
training,
testing,
validating
algorithms.
This
developed
by
authors
community
environment,
other
follow
places.
Measurement and Control,
Год журнала:
2024,
Номер
57(7), С. 949 - 965
Опубликована: Фев. 13, 2024
Modular
construction
is
a
method
of
that
involves
prefabricating
modular
indoor
spaces
in
factory
and
then
assembling
them
at
the
site.
However,
dimensional
errors
made
during
production
manufacturing
may
hinder
assembly
site
delay
entire
process.
In
particular,
as
quality
intermodular
connections
determines
structural
performance
serviceability
building,
meticulous
control
required
for
connections.
this
study,
developed
inspection
connection
locations
to
meet
requirements
being
accurate,
inexpensive,
easy-to-use,
rapid,
operable
by
single
person,
tested
factory.
The
proposed
consists
three
parts:
(a)
laser
meter
mounted
on
gimbal,
(b)
target
reflectors
based
tumbling
doll
principle,
(c)
mobile
device
remote
data
storage,
post-processing,
visualization
results.
process
was
unit
had
been
manufactured
factory;
outperformed
conventional
terms
accuracy,
time,
work
safety.
allows
accurate
rapid
holes
and,
thus,
its
use
factories
likely
improve
economics
efficiency
construction.
Journal of Industrial Ecology,
Год журнала:
2024,
Номер
28(6), С. 1362 - 1376
Опубликована: Июнь 18, 2024
Abstract
Recent
calls
have
been
made
for
equity
tools
and
frameworks
to
be
integrated
throughout
the
research
design
life
cycle
—from
conception
implementation—with
an
emphasis
on
reducing
inequity
in
artificial
intelligence
(AI)
machine
learning
(ML)
applications.
Simply
stating
that
should
throughout,
however,
leaves
much
desired
as
industrial
ecology
(IE)
researchers,
practitioners,
decision‐makers
attempt
employ
equitable
practices.
In
this
forum
piece,
we
use
a
critical
review
approach
explain
how
socioecological
inequities
emerge
ML
applications
across
their
stages
by
leveraging
food
system.
We
exemplify
of
comprehensive
questionnaire
delineate
unfair
bias
data
bias,
algorithmic
selection
deployment
categories.
Finally,
provide
consolidated
guidance
tailored
strategies
help
address
AI/ML
IE
Specifically,
sensitivity,
reliability,
uncertainty
challenges.
There
is
also
discussion
affect
other
domains,
besides
system—such
living
labs
circularity.
conclude
with
explanation
future
directions
take
AI/ML.
Last,
call
systemic
embedded
fundamentally
understand
domain‐specific
inequities,
identify
potential
unfairness
ML,
select
mitigation
manner
translates
different
domains.
Sensors,
Год журнала:
2022,
Номер
22(22), С. 8638 - 8638
Опубликована: Ноя. 9, 2022
With
the
climate
change
we
are
experiencing
today,
number
and
intensity
of
heatwaves
increasing
dramatically,
significantly
impacting
our
buildings’
overheating.
The
majority
prefabricated
concrete
panel
buildings
in
Hungary
considered
outdated
from
an
energy
point
view.
These
may
be
at
greater
risk
extreme
weather
events.
To
examine
this,
long-term
monitoring
measurements
needed.
Therefore,
developed
a
unique,
reliable,
cost-effective
wireless
system,
which
can
track
real
time
indoor
air
quality
data
(temperature,
relative
humidity,
CO2)
investigated
apartment
building,
as
well
users’
habits,
such
resident
presence,
window
opening,
blind
movement.
were
used
to
analyse
quantify
summer
overheating
dwelling
user
habits.
showed
that
average
temperature
all
rooms
was
above
26
°C,
there
several
occasions
when
exceeded
30
°C.
Overheating
is
significant
problem
needs
addressed.
Further
investigation
ventilation
habits
will
help
develop
favourable
strategies,
using
these
dynamic
simulations
also
improve
models’
validity
for
further
studies.
IEEE Access,
Год журнала:
2024,
Номер
12, С. 104272 - 104290
Опубликована: Янв. 1, 2024
The
Internet
of
Things
(IoT)
facilitates
intelligent
building
management
by
deploying
IoT
devices
as
crucial
components
subsystems.
However,
the
ongoing
evolution
buildings
presents
challenges
in
network
management,
scalability,
and
security.
In
this
regard,
smart
require
innovative
architectures
capable
adapting
to
meet
future
requirements.
Recursive
InterNetwork
Architecture
(RINA)
emerges
a
clean
slate
architecture
aiming
overcome
various
current
limitations
simplify
complexity.
While
RINA
has
demonstrated
several
advantages
multi-homing,
security,
these
benefits
must
be
analyzed
realistic
conditions.
This
paper
introduces
RINA-based
environment
monitoring
subsystem
that
implements
deploys
within
specific
hardware
software
relevant
environment.
comprises
sensors,
gateways,
an
edge
node.
subsystem's
design
implementation
details
are
provided
for
efficient
secure
communication
between
sensors
RINAsense
was
used
implement
with
additional
enhancements
resource
energy
efficiency.
Also,
IRATI
open-source
gateway
node
ensure
smooth
communications
subsystem.
evaluated
terms
latency,
goodput,
consumption,
it
achieved
2.05-millisecond
delay,
0.86
Mbps
reduced
82%
consumption.
Finally,
feasibility
using
confirmed
integrating
proposed
into
operative
system.
BIO Web of Conferences,
Год журнала:
2024,
Номер
86, С. 01109 - 01109
Опубликована: Янв. 1, 2024
The
location-based
services
(LBS)
user
experience
in
controlled
indoor
settings
this
scientific
research.
environments
included
a
range
of
demographics,
device
configurations,
and
ambient
factors.
According
to
our
findings,
customer
satisfaction
ratings
ranged
from
5
9
on
scale
1
10,
the
average
location
accuracy
was
1.1
meters
(±0.4
meters)
across
various
interactions
locales.
These
conclusions
were
supported
by
qualitative
comments,
which
expressed
with
effectiveness
check-in
procedures
practicality
several
LBS
features.
Negative
reviews,
other
hand,
revealed
difficulties
positioning
technology
accuracy,
highlighting
intricate
among
variables
influencing
experiences.
This
study
provides
solid
basis
for
optimization,
need
tackling
practical
issues
improve
contentment
usefulness
such
environments.
Research Square (Research Square),
Год журнала:
2022,
Номер
unknown
Опубликована: Июль 5, 2022
Abstract
Background:
During
the
COVID-19
pandemic,
which
emerged
in
2020,
many
patients
were
treated
isolation
wards
because
of
high
infectivity
and
long
incubation
period
COVID-19.
Therefore,
monitoring
systems
have
become
critical
to
patient
care
safeguard
medical
professional
safety.
Objective:
The
user
interface
is
very
important
surveillance
system;
therefore,
we
use
web
technology
develop
a
system
that
can
create
an
based
on
needs.
When
scene
needs
be
changed,
location
changed
at
any
time,
effectively
reducing
costs
time
required,
so
achieve
timely
appropriate
goals
treatment.
Methods:
ZigBee
was
employed
for
intensive
units
(ICUs).
Unlike
conventional
GUIs,
proposed
GUI
enables
various
aspects
patient,
modified
according
A
simulated
ICU
environment
designed
test
effectiveness
system.
nodes
set
up
positions
consistent
with
actual
clinical
environments
measure
required
switch
between
scenes
or
targets
GUI.
Results:
low-cost
construct
ZigBee-simulated
graphical
interfaces
demand
this
study.
overcome
limitations
design
methods
interfaces.
Conclusion:
This
used
simultaneously
monitor
basic
physiological
data
numerous
patients,
enabling
nursing
professionals
instantly
determine
status
provide
treatments.
applied
remote
after
official
adoption.
