Mobile Information Systems,
Journal Year:
2022,
Volume and Issue:
2022, P. 1 - 14
Published: May 27, 2022
The
scientific
research
information
system
plays
an
essential
role
in
improving
management
efficiency
and
promoting
technological
innovation
universities.
With
the
increasing
computational
demand
for
human-centric
management,
blockchain
technology,
with
distributed
storage,
consensus
sharing,
security
traceability,
has
efficiently
assisted
dealing
various
issues
such
as
big-data
scale,
security,
interconnection,
rapid
response,
private
security.
A
novel
framework
based
on
intelligent
technology
is
proposed
to
promote
university
research’s
level
efficiency.
Moreover,
four
smart
data
contracts,
including
collection,
verification,
supervision,
are
custom-designed
under
efficient
system.
Those
contracts
provide
reliable
traceability
algorithms
guarantee
practical
application
of
results
show
that
constructed
can
relieve
centralized
storage
pressure
solve
cross-subject
sharing
obstacle
massive
safety
among
different
systems.
Thereby,
increases
transparency
evaluation
realizes
credible
supervision
information,
which
provides
a
way
innovative
colleges
Computational Intelligence and Neuroscience,
Journal Year:
2022,
Volume and Issue:
2022, P. 1 - 10
Published: March 31, 2022
Few-Shot
Learning
has
had
a
significant
influence
on
how
people
live,
work,
and
learn.
Physical
education
is
requirement
for
college
diploma.
Sports
management
systems,
which
focus
data
collection,
organization,
analysis,
as
well
timeliness
guidance,
are
one
of
the
current
challenges
in
field
physical
at
country’s
top
colleges
universities.
The
amount
sex
room
minimal.
Time
money
when
it
comes
to
making
sports
decisions,
this
paper
uses
from
fitness
tests
illustrate
point.
Use
technology
extract
relevant
data,
allowing
teachers
provide
more
scientific
effective
guidance
suggestions
students.
design
implementation
collect
real-time
using
mobile
edge
computing,
analyze
display
results
machine
learning
technology,
mines
deep
features
displays
analysis
results,
can
be
used
evaluate
students’
fitness.
information
system
readable
time-saving,
students
better
understand
their
true
level
Because
mining,
specific
recommendations
each
student’s
characteristics.
Sensors,
Journal Year:
2023,
Volume and Issue:
23(2), P. 571 - 571
Published: Jan. 4, 2023
Tea
polyphenols,
amino
acids,
soluble
sugars,
and
other
ingredients
in
fresh
tea
leaves
are
the
key
parameters
of
quality.
In
this
research,
a
leaf
ingredient
estimation
sensor
was
developed
based
on
multi-channel
spectral
sensor.
The
experiment
showed
that
device
could
effectively
acquire
700–1000
nm
data
tree
display
samples
real
time
through
visual
interactive
interface.
Fuding
white
acquired
by
detection
were
used
to
build
an
content
prediction
model
ridge
regression
random
forest
algorithm.
As
result,
algorithm
with
better
performance
loaded
into
device.
Verification
root
mean
square
error
(RMSE)
determination
coefficient
(R2)
were,
respectively,
as
follows:
moisture
(1.61
0.35),
free
acid
(0.16
0.79),
polyphenol
(1.35
0.28),
sugar
(0.14
0.33),
nitrogen
(1.15
0.91),
chlorophyll
(0.02
0.97).
can
predict
some
high
accuracy
(nitrogen,
chlorophyll,
acid)
but
them
lower
(moisture,
polyphenol,
sugar)
R2
values.
realize
rapid
non-destructive
affecting
quality,
which
is
conducive
real-time
monitoring
current
quality
leaves,
evaluating
status
during
growth,
improving
production.
application
research
will
be
helpful
for
automatic
management
plantations.
Electronics,
Journal Year:
2022,
Volume and Issue:
11(10), P. 1516 - 1516
Published: May 10, 2022
Multivariate
time-series
forecasting
is
one
of
the
crucial
and
persistent
challenges
in
tasks.
As
a
kind
data
with
multivariate
correlation
volatility,
time
series
impose
highly
nonlinear
characteristics
on
model.
In
this
paper,
new
model,
temporal
convolutional
attention
network
(MTCAN),
based
self-attentive
mechanism
proposed.
MTCAN
Convolution
Neural
Network
(CNN)
using
1D
dilated
convolution
as
basic
unit
to
construct
asymmetric
blocks,
then,
feature
extraction
performed
by
self-attention
finally
obtain
prediction
results.
The
input
output
lengths
can
be
determined
flexibly.
validation
method
carried
out
three
different
datasets.
reliability
accuracy
results
are
compared
Long
Short-Term
Memory
(LSTM),
Gated
Recurrent
Unit
(GRU),
Convolutional
(ConvLSTM),
Temporal
(TCN).
show
that
model
proposed
paper
has
significantly
improved
generalization.
Mobile Information Systems,
Journal Year:
2022,
Volume and Issue:
2022, P. 1 - 14
Published: May 27, 2022
The
scientific
research
information
system
plays
an
essential
role
in
improving
management
efficiency
and
promoting
technological
innovation
universities.
With
the
increasing
computational
demand
for
human-centric
management,
blockchain
technology,
with
distributed
storage,
consensus
sharing,
security
traceability,
has
efficiently
assisted
dealing
various
issues
such
as
big-data
scale,
security,
interconnection,
rapid
response,
private
security.
A
novel
framework
based
on
intelligent
technology
is
proposed
to
promote
university
research’s
level
efficiency.
Moreover,
four
smart
data
contracts,
including
collection,
verification,
supervision,
are
custom-designed
under
efficient
system.
Those
contracts
provide
reliable
traceability
algorithms
guarantee
practical
application
of
results
show
that
constructed
can
relieve
centralized
storage
pressure
solve
cross-subject
sharing
obstacle
massive
safety
among
different
systems.
Thereby,
increases
transparency
evaluation
realizes
credible
supervision
information,
which
provides
a
way
innovative
colleges
