Journal of Telecommunication Electronic and Computer Engineering (JTEC),
Год журнала:
2024,
Номер
16(2), С. 27 - 30
Опубликована: Июнь 30, 2024
Interest
in
feature
extraction
for
Handwritten
Character
Recognition
(HCR)
has
been
growing
due
to
numerous
algorithms
aimed
at
improving
classification
accuracy.
This
study
introduces
a
metaheuristic
approach
utilizing
the
Honey
Badger
Algorithm
(HBA)
HCR.
The
Freeman
Chain
Code
(FCC)
is
employed
data
representation.
One
challenge
with
using
FCC
represent
characters
that
results
vary
depending
on
starting
points,
affecting
chain
code's
route
length.
To
address
this
issue,
HBA
proposed
identify
shortest
length
and
minimize
computational
time
performance
metrics
of
HB-FCC
algorithm
are
computation
time.
Experiments
use
code
representations
from
Center
Excellence
Document
Analysis
(CEDAR)
dataset,
containing
126
uppercase
letter
characters.
According
results,
method
achieves
1880.28
requires
only
1.07
seconds
process
entre
set
character
images.
International Journal of Hydrogen Energy,
Год журнала:
2024,
Номер
unknown
Опубликована: Май 1, 2024
In
the
coming
years,
European
Union
plans
to
establish
Proton
Exchange
Membrane
(PEM)
electrolyzers,
each
with
a
100
MW
capacity.
However,
selection
of
their
locations
has
not
been
systematically
optimized
leverage
potential
benefits,
such
as
utilizing
waste
heat
from
large
facilities
for
district
heating.
Presently,
there
are
hardly
any
corresponding
system
models
in
literature
dynamically
simulating
PEM
electrolyzer
this
size.
This
paper
introduces
first
model
approach
systems,
drawing
on
parameters
existing
literature.
It
addresses
inconsistency
found
regarding
use
exchange
current
density,
which
varies
by
factor
109.
A
novel
optimization
process
is
developed
using
an
auxiliary
parameter
fit
density
newfound
condition
between
anode
and
cathode
side.
The
outcome
comprehensive
plant,
exemplarily
adapted
Siemens
Silyzer
300.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Авг. 29, 2024
The
off-grid
Hybrid
Renewable
Energy
Systems
(HRES)
demonstrate
great
potential
to
be
sustainable
and
economically
feasible
options
meet
the
growing
energy
needs
counter
depletion
of
conventional
sources.
Therefore,
it
is
crucial
optimize
size
HRES
components
assess
system
cost
dependability.
This
paper
presents
optimal
sizing
provide
a
very
cost-effective
efficient
solution
for
supplying
power
rural
region.
study
develops
PV-Wind-Battery-DG
with
an
objective
3E
analysis
which
includes
Energy,
Economic,
Environmental
CO
Energy Reports,
Год журнала:
2024,
Номер
11, С. 6109 - 6125
Опубликована: Июнь 1, 2024
Proton
exchange
membrane
fuel
cells
(PEMFCs)
are
considered
a
promising
renewable
energy
source
and
have
sparked
lot
of
interest
over
the
last
few
years
due
to
their
robust
efficiency,
low
operating
temperature,
longevity.
The
PEMFC's
electrochemical
model
has
seven
unknown
parameters,
which
not
given
in
manufacturer's
datasheets
need
be
accurately
estimated
present
more
accurate
model,
leading
improved
efficiency
performance
PEMFC
systems.
estimation
those
parameters
been
dealt
with
as
complex
non-linear
optimization
problem
that
needs
powerful
algorithm
solve
it.
existing
algorithms
still
some
disadvantages,
such
falling
into
local
minima
convergence
speed,
make
them
ineligible
this
complicated
acceptable
accuracy
computational
cost.
Therefore,
study
presents
new
parameter
technique
for
estimating
accurately,
thereby
achieving
precise
modeling
PEMFCs.
This
called
IKOA
is
based
on
integrating
Kepler
(KOA)
novel
Lévy-Normal
(LN)
mechanism
strengthen
its
exploration
exploitation
capabilities
against
multimodal
problem.
Lévy
flight
aims
improve
KOA's
operator
accelerate
speed
toward
near-optimal
solution,
thus
minimizing
cost;
meanwhile,
normal
distribution
used
operator,
aiding
escape
minima.
proposed
KOA
herein
evaluated
several
rival
using
six
well-known
commercial
stacks
highlight
effectiveness.
Key
metrics
cost,
fitness
measures,
statistical
validation
through
Wilcoxon
rank-sum
test
IKOA's
effective
enhancing
predictive
operational
numerical
findings
show
high
superiority
all
optimizers
solved
benchmarks.
