The
emergence
of
intelligent
psychological
monitoring
system
can
effectively
provide
the
accuracy
and
related
efficiency
evaluation,
explore
optimization
transfer
process
counseling,
assist
counselors
to
complete
work,
so
as
realize
evaluation
intelligence
reference.
purpose
this
paper
is
automatically
identify
key
information
state
from
a
large
number
multi-source
data
through
based
on
neural
network
algorithm,
weight
it.
Through
experimental
verification,
model
has
achieved
good
performance
in
classification
prediction
state,
realized
real-time
individual
extracted
characteristics
data,
classified
predicted
them,
which
important
theory.
Amidst
the
proliferation
of
Industry
4.0,
integration
artificial
intelligence
and
smart
techniques
has
emerged
as
a
focal
point
in
discussions
surrounding
industrial
cyber-physical
systems
(CPS).
It
is
still
very
difficult
to
detect
anomalies
way
that
protects
security
productivity,
especially
when
there
isn't
much
labeled
data
available
for
protection.
A
novel
method
called
Few-Shot
Learning
model
with
Siamese
Neural
Network
(FSL-SNN)
presented
this
paper
goal
improving
accuracy
intelligent
anomaly
detection
CPS
reducing
over-fitting
problem.
To
calculate
distances
between
input
samples
using
their
optimum
feature
representations,
encoding
network
developed.
bolster
efficiency
training
process,
robust
cost
function
designed,
encompassing
three
specific
losses.
The
culmination
these
efforts
results
development
an
algorithm.
experiments
conducted
on
two
datasets—one
sparse
labels
other
fully
shows
notable
improvements
proposed
FSL-SNN
achieves
it
comes
lowering
false
alarm
rate
(FAR)
0.041
raising
F1
score
0.975
intrusion
signal
identification
context
protection
compared
existing
Convolutional
Autoencoder.
This
game
set
in
a
time
period
of
the
East
created
based
off
original
story,
title
is
A
Broken
Warrior.
paper
will
look
at
competitive
analysis
between
this
and
another
two
games
used
as
comparison
well
plans
for
improvement.
Then
there
also
background
studies/Literature
review,
which
covers
types
flow
models
that
have
been
walkthrough
section
conference
journal
papers
to
give
inspiration
game.
Level
Design
paper,
where
geography
covered
visual
design
world
shown
visually
map
well.
concept
just
refers
overall
review
game,
followed
up
by
challenges
are
identified
levels
highlights.
Finally,
it
how
player
would
normally
play
level.
Lastly
conclusion
future
enhancements
project
left
be
discussed.
With
the
rapid
development
of
channel
survey
technology,
multibeam
bathymetric
system
plays
an
increasingly
important
role
in
survey.
Firstly,
we
establish
a
physical
model,
use
tangent
formula
to
find
out
depth
seawater
D,
after
analysis
plane
model
and
sine
theorem
coverage
width
W,
then
spacing
two
adjacent
lines
width,
with
help
expression
relationship
between
overlap
rate
previous
line
is
solved
η.
The
relation.
Finally,
SketchUp
was
used
convert
given
information
into
three-dimensional
for
analysis,
angles
edges
structure
obtained.
We
found
that
optimal
wiring
strategy
"horizontal
along
isobaths",
number
vessel
on
these
three
slopes
67
total,
missed
area
accounting
1.325%
total
region.
People
have
higher
and
requirements
for
information
sharing,
put
forward
demands
in
terms
of
storing
exchanging
data.
Remote
backup
is
the
process
copying
all
or
part
data
set
from
application
host's
hard
disk
array
to
other
storage
media
order
prevent
loss
due
system
operation
errors
failures.
affected
by
network
speed
bandwidth
limitations,
which
sometimes
results
low
efficiency.
In
addition,
there
are
interruptions,
errors,
etc.
process,
requires
a
large
amount
space,
so
effective
management
optimization
resources
need
be
considered.
improve
performance
computer
remote
backup,
this
article
proposes
apply
machine
learning
algorithms
system,
thereby
improving
classification
filtering
efficiency
quality
backup.
Several
common
(decision
tree,
artificial
neural
network,
Bayesian,
random
forest
stochastic
gradient
algorithm)
systematically
tested
compare
their
advantages
time
consumption.
disadvantages
full
differential
incremental
compared.
The
experimental
show
that
spent
algorithm
2100ms
when
file
size
2000kb,
3900ms
4000kb,
8907ms
10000kb.
with
the
continuons
development
of
China's
insurance
industry
has
become
a
mainstream
trend.
Digital
can
make
more
high-quality
and
suitable
for
today's
society.
The
digital
transformation
better
meet
high
demand
insurance,
also
needs
to
innovate
change.
Therefore,
this
paper
proposes
platform
in
China
based
on
big
data
intelligence
conduct
analysis.
First,
computer
is
used
collect
analyze
indicators
are
divided
according
requirements
digitalization
reduce
interfering
factor.
Then,
designs
platform,
forms
an
scheme,
synthesizes
results
Analyse.
With
progress
science
technology
acceleration
transformation,
traditional
facing
unprecedented
challenges
opportunities.
In
order
adapt
change,
many
companies
start-ups
began
explore
construction
platform.
following
will
discuss
core
contents,
key
steps
possible
depth.
Trusted
computing
technology,
as
a
new
type
of
information
security
has
been
applied
in
various
fields.
In
order
to
ensure
the
safe
and
stable
operation
industrial
power
automation
systems,
it
is
proposed
apply
trusted
embedded
devices.
Based
on
brief
overview
combined
with
platform
module
structure,
design
an
device
conduct
experiments
system.
The
experimental
results
show
that
at
feed
rate
200mm
min-1,
roughness
before
compensation
4.139
μ
m.
after
3.168
M.
based
this
article
can
some
extent
solve
real-time
issues
terminal
trust
construction.
In
enterprise
management,
human
resources,
as
a
key
element,
have
an
important
impact
on
the
development
and
competitiveness
of
enterprises.
However,
traditional
resource
management
model
can
no
longer
meet
increasingly
complex
changeable
needs
Therefore,
introduction
models
methods
based
big
data
is
current
research
hotspot.
Based
analysis
technology,
dynamic
planning
suitable
for
resources
system
constructed.
The
results
show
that
help
enterprises
predict
manpower
demand
more
accurately,
allocate
reasonably,
improve
employee
performance
organizational
efficiency
between
94%
97%.
application
this
effectively
decision-making
ability
enterprises,
thereby
enhancing
sustainable
Image
watermarking
serves
as
a
visual
deterrent,
signaling
potential
infringers
that
the
image
is
protected
by
copyright.
While
various
methods
have
been
developed
in
past,
existing
models
encounter
limitations
such
lack
of
suitability
for
diverse
data
types
and
ineffective
generalization.
Additionally,
absence
standardization
techniques
poses
significant
challenge.
In
this
proposed
approach,
images
are
input
into
an
improved
discrete
Fourier
transform
(IDFT)
to
convert
signals
from
time
domain.
The
Arnold
Transform
initially
applied
signal
format.
Subsequently,
Walsh-Hadamard
(WHT)
employed
non-sinusoidal,
orthogonal
transformation.
Finally,
Singular
Value
Decomposition
(SVD)
implemented
decrease
number
dimensions
high-dimensional
data,
facilitating
easier
visualization
analysis.
average
Peak
Signal-to-Noise
Ratio
(PSNR),
Normalized
Cross-Correlation
(NCC),
Bit
Error
Rate
(BER)
hybrid
IDFT-WHT-SVD
scheme
reported
56.58,
0.2651,
0.9902,
respectively.
This
model
underwent
comparison
with
other
models,
including
CNN-based
robust
watermarking,
Hyper-Chaotically
Encrypted,
Cryptographic
Technique.
