I
AE
S In
t
er
na
t
io
na
l J
o
urna
l o
f
Art
if
icia
l In
t
ellig
ence
(
I
J
-
AI
)
Vo
l.
1
4
,
No
.
6
,
Dec
em
b
er
2
0
2
5
,
p
p
.
4
5
0
2
~
4
5
1
0
I
SS
N:
2
2
5
2
-
8
9
3
8
,
DOI
: 1
0
.
1
1
5
9
1
/ijai.v
14
.i
6
.
p
p
4
5
0
2
-
4
5
1
0
4502
J
o
ur
na
l ho
m
ep
a
g
e
:
h
ttp
:
//ij
a
i
.
ia
esco
r
e.
co
m
Inexpensiv
e
hum
a
n aud
io
metric
sy
stem using
Ra
spb
erry Pi
a
nd
a
rtif
icia
l in
tellige
nce
Abdu
lra
f
a
H
us
s
a
i
n M
a
ra
y
1
,
M
ua
t
a
z
Ak
ra
m H
a
s
s
a
n
1
,
T
a
ha
H
us
s
ein
M
a
ra
i A
l
-
H
a
s
s
a
n
2
1
D
e
p
a
r
t
me
n
t
o
f
El
e
c
t
i
o
n
s
a
n
d
C
o
mm
u
n
i
c
a
t
i
o
n
,
P
o
l
y
t
e
c
h
n
i
c
C
o
l
l
e
g
e
M
o
s
u
l
,
N
o
r
t
h
e
r
n
Te
c
h
n
i
c
a
l
U
n
i
v
e
r
s
i
t
y
,
M
o
su
l
,
I
r
a
q
2
El
e
c
t
r
o
n
i
c
C
o
m
p
u
t
e
r
C
e
n
t
e
r
,
U
n
i
v
e
r
s
i
t
y
o
f
M
o
s
u
l
,
M
o
s
u
l
,
I
r
a
q
Art
icle
I
nfo
AB
S
T
RAC
T
A
r
ticle
his
to
r
y:
R
ec
eiv
ed
Dec
6
,
2
0
2
4
R
ev
is
ed
Sep
1
6
,
2
0
2
5
Acc
ep
ted
Oct
1
6
,
2
0
2
5
Th
e
m
o
st
c
o
m
m
o
n
a
n
d
wi
d
e
sp
re
a
d
d
ise
a
se
in
Ira
q
is
h
e
a
rin
g
imp
a
irme
n
t
fo
r
c
h
il
d
re
n
a
n
d
n
e
wb
o
rn
s.
Als
o
,
in
c
it
ies
,
p
e
o
p
le
a
re
e
x
p
o
se
d
t
o
h
i
g
h
lev
e
ls
o
f
n
o
ise
,
lo
u
d
s
o
u
n
d
s
a
t
wo
r
k
,
li
k
e
fa
c
to
ries
,
a
n
d
m
a
c
h
in
e
ry
n
o
is
e
.
In
th
is
p
a
p
e
r,
a
sy
ste
m
wa
s
d
e
sig
n
e
d
a
n
d
imp
lem
e
n
ted
to
m
e
a
su
re
th
e
lev
e
l
o
f
h
e
a
rin
g
in
th
e
h
u
m
a
n
e
a
r,
i
n
o
rd
e
r
to
re
d
u
c
e
th
e
c
o
st
o
f
th
e
se
d
e
v
ice
s.
Th
is
sy
ste
m
u
se
s
Ra
sp
b
e
rry
P
i
3
m
icro
c
o
n
tr
o
ll
e
rs,
wh
ich
a
re
c
o
n
si
d
e
re
d
c
h
e
a
p
a
n
d
h
a
v
e
h
i
g
h
c
a
p
a
b
il
it
ies
i
n
o
p
e
n
-
so
u
rc
e
p
ro
g
ra
m
m
in
g
.
Th
e
ir
a
b
u
n
d
a
n
t
a
v
a
il
a
b
il
it
y
will
lea
d
to
th
e
p
ro
v
isio
n
o
f
th
e
se
sy
ste
m
s
in
h
o
m
e
s,
h
e
a
lt
h
c
e
n
ters
,
a
n
d
h
o
sp
it
a
ls.
I
n
th
is
p
ro
p
o
se
d
a
lg
o
rit
h
m
,
tw
o
si
n
e
wa
v
e
s
a
re
g
e
n
e
ra
ted
b
y
th
e
m
icr
o
c
o
n
tr
o
ll
e
r
with
d
iffere
n
t
fre
q
u
e
n
c
ies
.
It
is
tr
a
n
sm
it
ted
b
y
th
e
M
P
3
a
u
d
io
tran
sm
issio
n
c
a
b
le
th
ro
u
g
h
t
h
e
a
n
a
l
o
g
-
to
-
d
ig
it
a
l
(AD
C)
p
o
rt.
T
h
e
se
a
u
d
i
o
sig
n
a
ls
a
re
g
e
n
e
ra
ted
a
t
a
fre
q
u
e
n
c
y
o
f
(0
.
5
to
1
2
k
Hz
),
th
e
se
fre
q
u
e
n
c
ies
a
re
t
h
e
o
n
e
s
th
a
t
h
u
m
a
n
s
c
a
n
h
e
a
r,
a
n
d
th
e
y
c
a
n
b
e
re
p
re
se
n
ted
b
y
p
u
lse
wid
t
h
m
o
d
u
lato
r
(P
WM
)
tec
h
n
o
l
o
g
y
(x
=
2
5
5
sa
m
p
les
).
Co
n
v
o
l
u
ti
o
n
a
l
n
e
u
ra
l
n
e
two
r
k
(
CNN
)
is
trai
n
e
d
o
n
t
h
e
d
a
tas
e
t
a
c
q
u
ired
th
ro
u
g
h
d
e
e
p
lea
rn
in
g
a
lg
o
rit
h
m
s.
K
ey
w
o
r
d
s
:
Ar
tific
ial
in
tellig
en
ce
Au
d
io
m
etr
ic
C
o
n
v
o
lu
tio
n
al
n
eu
r
al
n
etwo
r
k
Dee
p
lear
n
in
g
Dis
to
r
tio
n
o
to
ac
o
u
s
tic
Me
d
ical
s
y
s
tem
R
asp
b
er
r
y
Pi
T
h
is i
s
a
n
o
p
e
n
a
c
c
e
ss
a
rticle
u
n
d
e
r th
e
CC B
Y
-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
Ab
d
u
lr
af
a
Hu
s
s
ain
Ma
r
ay
Dep
ar
tm
en
t o
f
E
lectio
n
s
an
d
C
o
m
m
u
n
icatio
n
,
Po
ly
tec
h
n
ic
C
o
lleg
e
Mo
s
u
l,
No
r
th
er
n
T
ec
h
n
ical
Un
iv
er
s
ity
Mo
s
u
l,
I
r
aq
E
m
ail:
r
af
iallwaz
e@
n
tu
.
ed
u
.
iq
1.
I
NT
RO
D
UCT
I
O
N
On
e
o
f
th
e
m
o
s
t
co
m
m
o
n
d
is
ea
s
es
am
o
n
g
y
o
u
n
g
ch
ild
r
en
is
h
ea
r
in
g
lo
s
s
.
Ho
s
p
itals
in
m
a
n
y
d
ev
elo
p
in
g
co
u
n
tr
ies
lack
m
o
d
er
n
m
ed
ical
d
e
v
ices
d
u
e
t
o
th
eir
h
i
g
h
co
s
t.
E
a
r
ly
d
ia
g
n
o
s
is
o
f
th
e
h
ea
r
in
g
p
r
o
b
lem
in
ch
ild
r
e
n
an
d
n
e
wb
o
r
n
s
will
lead
to
ea
r
ly
tr
ea
tm
en
t
b
ef
o
r
e
th
e
d
is
ea
s
e
wo
r
s
en
s
[
1
]
.
So
m
e
r
esear
ch
er
s
h
av
e
s
p
o
k
e
n
in
p
r
ev
io
u
s
s
tu
d
ies
th
at
e
v
er
y
y
e
ar
,
m
o
r
e
th
a
n
2
2
m
illi
o
n
wo
r
k
er
s
ar
e
e
x
p
o
s
ed
to
v
er
y
lo
u
d
s
o
u
n
d
s
a
n
d
n
o
is
es
in
th
eir
d
aily
wo
r
k
.
T
h
is
n
o
is
e
m
ay
lead
t
o
h
ea
r
in
g
lo
s
s
in
th
e
s
h
o
r
t
o
r
lo
n
g
ter
m
.
No
is
e
-
g
en
er
ated
h
ea
r
i
n
g
lo
s
s
is
th
e
m
o
s
t
co
m
m
o
n
ca
u
s
e
o
f
wo
r
k
-
r
elate
d
h
ea
r
in
g
im
p
air
m
en
t,
ac
co
u
n
tin
g
f
o
r
7
2
.
5
%
o
f
r
eg
is
ter
ed
ca
s
es
[
2
]
–
[
6
]
.
I
n
th
is
p
r
o
p
o
s
ed
s
tu
d
y
,
d
ev
ices
ar
e
d
esig
n
ed
an
d
im
p
le
m
en
ted
to
m
ea
s
u
r
e
th
e
h
ea
r
in
g
lev
el
o
f
th
e
h
u
m
a
n
in
n
er
ea
r
.
T
h
r
o
u
g
h
in
ex
p
en
s
iv
e
m
icr
o
co
n
tr
o
ller
s
,
wh
ich
ar
e
wid
ely
av
ailab
le
an
d
ea
s
y
to
u
s
e
in
h
o
m
es.
W
ith
o
u
t
th
e
n
ee
d
f
o
r
s
p
ec
ialis
ts
,
it
is
lig
h
tweig
h
t,
p
o
r
tab
le
,
a
n
d
av
ailab
le
t
o
all.
T
h
is
s
av
es
cities
an
d
p
eo
p
le
ti
m
e
an
d
ef
f
o
r
t
in
s
tead
o
f
h
av
in
g
th
e
ex
clu
s
iv
e
test
in
p
u
b
lic
h
o
s
p
itals
.
New
b
o
r
n
s
n
ee
d
an
ea
r
l
y
d
iag
n
o
s
is
o
f
th
eir
s
en
s
e
o
f
h
ea
r
in
g
,
wh
ich
m
ay
lead
to
a
s
o
lu
tio
n
t
o
th
eir
s
p
ee
ch
an
d
h
ea
r
in
g
p
r
o
b
lem
s
an
d
co
m
m
u
n
icatio
n
.
Diag
n
o
s
in
g
h
ea
r
in
g
im
p
air
m
en
t
in
tim
e
is
a
v
e
r
y
im
p
o
r
t
an
t
p
r
o
ce
s
s
f
o
r
n
ewb
o
r
n
s
,
an
d
av
o
i
d
in
g
s
er
io
u
s
p
r
o
b
lem
s
s
u
ch
as
d
if
f
icu
lty
s
p
ea
k
in
g
,
m
is
p
r
o
n
u
n
c
iatio
n
,
an
d
a
lack
o
f
u
n
d
er
s
tan
d
in
g
o
f
s
p
ee
ch
.
C
alled
ea
r
ly
d
etec
tio
n
o
f
au
d
ito
r
y
b
r
ain
s
tem
r
esp
o
n
s
e
(
AB
R
)
an
d
o
to
ac
o
u
s
tic
em
is
s
io
n
s
(
OAE
)
.
T
h
is
p
r
o
ject
is
to
d
esig
n
a
d
is
co
u
n
t
-
co
s
t
an
d
u
s
er
-
f
r
ien
d
ly
d
e
v
ice
b
y
p
r
o
p
o
s
ed
b
asic
alg
o
r
ith
m
s
,
s
u
ch
as
a
R
asp
b
er
r
y
Pi
3
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ar
tif
I
n
tell
I
SS
N:
2252
-
8
9
3
8
I
n
ex
p
en
s
ive
h
u
ma
n
a
u
d
io
metr
ic
s
ystem
u
s
in
g
r
a
s
p
b
err
y
p
i a
n
d
…
(
A
b
d
u
lr
a
fa
Hu
s
s
a
in
Ma
r
a
y)
4503
m
icr
o
co
n
tr
o
ller
,
a
g
r
ap
h
ic
al
u
s
er
in
ter
f
ac
e
(
GUI
)
u
s
in
g
b
y
M
AT
L
AB
2
0
2
0
p
r
o
g
r
am
.
T
h
e
au
d
io
wa
v
e
is
an
aly
ze
d
,
an
d
g
o
o
d
r
esu
lts
ar
e
g
iv
en
b
y
u
s
in
g
f
ast
Fo
u
r
ier
t
r
an
s
f
o
r
m
(
FF
T
)
to
an
al
y
ze
th
e
f
r
eq
u
e
n
cies
o
f
th
e
au
d
io
s
ig
n
al
a
u
d
ib
le
to
h
u
m
an
s
.
T
h
e
r
esu
lts
o
f
th
is
p
r
o
p
o
s
ed
s
y
s
tem
ar
e
co
m
p
a
r
ed
with
ap
p
r
o
v
e
d
in
ter
n
atio
n
al
s
tan
d
ar
d
s
u
s
in
g
s
ev
er
al
m
eth
o
d
s
an
d
f
ilter
s
to
i
m
p
r
o
v
e
th
e
ef
f
icien
c
y
an
d
q
u
a
lity
o
f
th
e
r
esu
lts
.
2.
O
VE
RA
L
L
P
RO
C
E
DUR
E
OAE
s
m
ea
s
u
r
e
th
e
h
u
m
an
h
ea
r
in
g
lev
el
in
th
e
co
ch
le
a
.
T
h
e
m
o
s
t
p
o
p
u
lar
ap
p
licatio
n
i
s
a
co
m
p
r
eh
e
n
s
iv
e
au
d
io
l
o
g
ical
e
x
am
in
atio
n
o
f
n
ewb
o
r
n
s
an
d
all
ag
e
g
r
o
u
p
s
.
Am
o
n
g
its
ad
v
an
tag
es
is
th
at
it
d
o
es
n
o
t
tak
e
l
o
n
g
m
ea
s
u
r
in
g
p
er
io
d
s
,
an
d
d
o
es
n
o
t
r
eq
u
ir
e
s
u
r
g
er
y
[
7
]
,
[
8
]
.
I
t
d
o
es
n
o
t
r
eq
u
i
r
e
s
p
ec
ialized
clin
ical
s
taf
f
o
r
a
m
ed
ical
s
p
e
cialist
.
I
t
is
s
en
d
in
g
two
s
o
u
n
d
with
a
f
r
eq
u
e
n
cy
r
an
g
i
n
g
f
r
o
m
5
0
0
to
8
,
0
0
0
Hz
o
n
ea
r
,
an
d
th
e
f
ee
d
b
ac
k
s
ig
n
al
is
tak
en
,
f
ilter
ed
,
a
n
d
p
r
o
ce
s
s
ed
to
f
in
d
o
u
t
th
e
e
x
ten
t
o
f
t
h
e
h
ea
r
i
n
g
s
tr
en
g
th
o
f
th
at
p
atien
t
[
9
]
.
I
t c
an
b
e
s
ee
n
in
Fig
u
r
e
1
.
Fig
u
r
e
1
.
OAE
s
m
ea
s
u
r
e
th
e
h
u
m
an
co
c
h
lea
in
e
ar
T
h
i
s
s
t
u
d
y
d
e
s
c
r
i
b
e
s
a
g
e
n
e
r
a
t
i
o
n
o
f
s
o
u
n
d
s
i
g
n
a
l
s
w
i
t
h
h
u
m
a
n
a
u
d
i
t
o
r
y
f
r
e
q
u
e
n
c
i
e
s
,
a
n
d
s
e
n
d
s
t
h
e
m
t
o
t
h
e
m
i
d
d
l
e
e
a
r
.
F
i
r
s
t
s
in
e
w
a
v
e
=
F
1
,
s
e
c
o
n
d
s
in
e
w
a
v
e
=
F
2
,
a
n
d
r
e
s
e
r
v
e
d
d
a
t
a
s
i
g
n
a
l
i
s
F
3
.
L
o
o
k
a
t
(
1
)
a
n
d
(
2
)
[
1
0
]
.
3
=
2
1
−
2
(
1
)
1
=
1
.
2
×
2
(
2
)
W
h
en
th
e
co
ch
lea
is
g
o
o
d
.
T
h
e
p
r
o
b
e
co
n
tain
s
two
s
p
ea
k
er
s
an
d
o
n
e
m
icr
o
p
h
o
n
e.
T
h
e
f
u
n
ctio
n
o
f
h
ea
r
in
g
aid
s
is
to
s
en
d
s
o
u
n
d
s
ig
n
als
i
n
to
th
e
co
c
h
lea.
T
h
e
s
o
u
n
d
s
g
en
er
ated
f
r
o
m
in
s
id
e
th
e
c
o
ch
l
ea
ar
e
tak
en
in
b
y
a
m
icr
o
p
h
o
n
e.
T
h
e
ef
f
ec
t
o
f
th
e
s
e
s
ig
n
als
o
n
th
e
p
atien
t
is
r
ec
eiv
ed
an
d
s
av
ed
in
th
e
d
atab
as
e.
Data
ac
q
u
is
itio
n
,
s
ig
n
al
an
aly
s
is
u
s
in
g
FF
T
,
an
d
s
p
ec
if
ic
s
p
ec
tr
a
ar
e
d
etec
ted
with
n
o
is
e
ca
n
ce
ll
atio
n
to
im
p
r
o
v
e
s
ig
n
al
-
to
-
n
o
is
e
r
atio
(
SNR
)
.
T
h
e
f
o
llo
win
g
d
iag
r
am
r
ep
r
esen
ts
th
e
im
p
o
r
tan
t
b
asic
co
m
p
o
n
en
ts
o
f
th
e
p
r
o
to
ty
p
e
b
lo
c
k
d
iag
r
am
,
as sh
o
wn
in
Fig
u
r
e
2
.
Fig
u
r
e
2
.
T
h
e
b
lo
c
k
d
iag
r
am
o
f
th
e
s
y
s
tem
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
9
3
8
I
n
t J Ar
tif
I
n
tell
,
Vo
l.
1
4
,
No
.
6
,
Dec
em
b
er
2
0
2
5
:
4
5
0
2
-
4
5
1
0
4504
Fig
u
r
e
2
r
ep
r
esen
ts
b
lo
ck
d
ia
g
r
am
f
o
r
th
e
d
esig
n
o
f
th
is
m
ed
ical
s
y
s
tem
p
r
o
to
ty
p
e,
a
n
d
th
e
m
o
s
t
im
p
o
r
tan
t
elem
en
t
is
Fig
u
r
e
2
r
e
p
r
esen
ts
th
e
b
lo
ck
d
iag
r
a
m
f
o
r
th
e
d
esig
n
o
f
th
is
m
ed
i
ca
l
s
y
s
tem
,
an
d
th
e
m
o
s
t im
p
o
r
tan
t e
lem
e
n
t is th
e
m
icr
o
co
n
tr
o
ller
.
I
t
p
er
f
o
r
m
s
m
an
y
f
u
n
ctio
n
s
:
‒
Gen
er
ate
two
au
d
io
s
ig
n
als in
th
e
f
o
r
m
o
f
s
in
e
wav
es.
‒
Sen
d
th
ese
s
ig
n
als to
th
e
p
atie
n
t'
s
ea
r
b
y
am
p
lify
in
g
th
e
s
o
u
n
d
.
‒
R
ec
eiv
in
g
an
d
s
to
r
in
g
th
e
s
ig
n
als em
itted
f
r
o
m
th
e
p
atien
t'
s
e
ar
.
‒
An
aly
ze
th
ese
s
ig
n
als af
ter
f
ilter
in
g
th
em
f
r
o
m
n
o
is
e.
‒
Sen
d
in
g
r
esu
lts
d
ata
to
a
c
o
m
p
u
ter
an
d
s
to
r
i
n
g
th
em
in
d
atab
ases
.
3.
H
ARDWA
R
E
RE
Q
U
I
R
E
M
E
NT
S
3
.
1
.
Ra
s
pb
er
ry
P
i
3
T
h
e
m
icr
o
co
n
tr
o
ller
is
th
e
b
asic
co
m
p
o
n
en
t
o
f
th
is
s
y
s
tem
.
I
n
a
p
r
ev
io
u
s
s
tu
d
y
i
n
2
0
1
2
,
th
e
(
PIC1
6
F8
7
7
A)
m
icr
o
co
n
t
r
o
ll
er
was
u
s
ed
[
1
1
]
.
wh
ic
h
is
co
n
s
id
er
ed
a
n
o
ld
an
d
co
m
p
lex
p
r
o
ce
s
s
o
r
.
I
t
is
lim
ited
ca
p
ab
ilit
ies
wer
e
ch
o
s
en
,
an
d
r
eq
u
i
r
ed
m
an
y
co
m
p
o
n
en
ts
in
th
eir
p
r
o
g
r
a
m
m
in
g
,
an
d
th
e
p
r
o
g
r
am
s
u
s
ed
at
th
at
tim
e
wer
e
co
n
s
id
er
ed
in
ef
f
icien
t.
I
n
th
e
y
ea
r
2
0
2
2
,
a
h
ea
r
in
g
s
y
s
tem
was
d
esig
n
ed
an
d
im
p
lem
en
ted
u
s
in
g
Ar
d
u
in
o
a
n
d
I
2
C
-
L
C
D,
wh
ich
is
th
e
lat
est
[
1
0
]
.
I
n
th
is
s
tu
d
y
,
R
asp
b
er
r
y
Pi
3
was
u
s
ed
b
ec
au
s
e
o
f
its
h
ig
h
s
p
ec
if
icat
io
n
s
,
lig
h
t
weig
h
t
,
an
d
lo
w
c
o
s
t,
s
ee
Fig
u
r
e
3
.
T
h
e
v
ar
io
u
s
h
ar
d
war
e
f
ea
tu
r
es
co
v
er
ed
in
T
ab
le
1
.
T
h
is
tab
le
s
h
o
ws
th
e
g
en
er
al
co
m
p
o
n
en
ts
o
f
t
h
e
p
r
o
p
o
s
ed
s
y
s
tem
o
f
m
icr
o
co
n
tr
o
ller
R
asp
b
er
r
y
Pi
3.
Fig
u
r
e
3
.
Sch
em
atic
r
ep
r
esen
t
atio
n
o
f
R
asp
b
er
r
y
Pi 3
T
ab
le
1
.
R
asp
b
er
r
y
Pi
3
s
p
ec
if
icatio
n
s
[
1
2
]
,
[
1
3
]
C
o
m
p
o
n
e
n
t
s
S
p
e
c
i
f
i
c
a
t
i
o
n
s
C
P
U
C
P
U
:
1
.
2
GHz
M
e
m
o
r
y
M
e
m
o
r
y
:
1
G
B
,
i
n
t
e
r
n
a
l
R
A
M
:
1
G
B
D
D
R
2
N
e
t
w
o
r
k
b
o
a
r
d
S
h
e
l
l
e
d
W
i
r
e
l
e
ss
-
e
t
h
e
r
n
e
t
RJ
45
-
b
l
u
e
t
o
o
t
h
P
o
w
e
r
s
o
u
r
c
e
(
3
.
3
–
5
)
v
o
l
t
S
i
z
e
8
5
.
6
0
×
5
6
.
5
mm
,
n
o
t
i
n
c
l
u
d
i
n
g
p
r
o
t
r
u
d
i
n
g
c
o
n
n
e
c
t
o
r
s
G
P
I
O
P
W
M
:
G
P
I
O
(
1
2
,
1
3
,
1
8
,
1
9
)
Et
h
e
r
n
e
t
-
Et
h
e
r
n
e
t
:
1
0
/
1
0
0
e
t
h
e
r
n
e
t
-
8
0
2
.
1
1
n
w
i
r
e
l
e
ss
LA
N
U
S
B
v
o
l
t
a
g
e
-
5
V
/
U
S
B
-
P
r
o
c
e
ss
o
r
o
p
e
r
a
t
i
n
g
v
o
l
t
a
g
e
:
3
.
3
V
S
i
z
e
(
mm
)
8
5
.
6
×
5
3
.
9
8
×
17
W
e
i
g
h
t
4
5
g
P
r
o
g
r
a
m
mi
n
g
l
a
n
g
u
a
g
e
C
,
C
+
+
,
J
a
v
a
,
P
h
y
t
o
n
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ar
tif
I
n
tell
I
SS
N:
2252
-
8
9
3
8
I
n
ex
p
en
s
ive
h
u
ma
n
a
u
d
io
metr
ic
s
ystem
u
s
in
g
r
a
s
p
b
err
y
p
i a
n
d
…
(
A
b
d
u
lr
a
fa
Hu
s
s
a
in
Ma
r
a
y)
4505
3
.
2
.
M
a
t
rix
k
e
y
pa
d
-
16
pin
es
T
h
e
v
alu
e
o
f
th
e
a
u
d
io
f
r
eq
u
e
n
cies
g
en
er
ated
b
y
th
e
m
icr
o
c
o
n
tr
o
ller
is
c
o
n
tr
o
lled
b
y
th
is
elec
tr
o
n
ic
cir
cu
it.
W
h
er
e
a
k
e
y
b
o
a
r
d
co
n
s
is
tin
g
o
f
1
6
k
ey
s
is
c
o
n
n
ec
te
d
,
co
n
n
ec
ted
to
an
eig
h
t
-
p
in
c
ab
le
[
1
4
]
.
I
t
ca
n
b
e
s
ee
n
in
Fig
u
r
e
4
a
n
d
T
ab
le
2.
T
h
ese
s
witch
es
ar
e
co
n
n
ec
te
d
to
th
e
R
asp
b
er
r
y
m
icr
o
c
o
n
tr
o
ller
cir
cu
it
v
ia
th
e
f
o
llo
win
g
p
o
r
ts
.
T
h
is
s
y
s
tem
ca
n
g
en
er
ate
au
d
ib
le
s
o
u
n
d
f
r
eq
u
en
cies
b
etwe
en
5
0
0
an
d
2
0
,
0
0
0
Hz
th
r
o
u
g
h
th
ese
k
ey
s
,
wh
er
e
th
e
a
p
p
r
o
p
r
i
ate
f
r
eq
u
e
n
cy
is
ch
o
s
en
ac
c
o
r
d
in
g
to
ea
ch
p
atien
t
[
1
5
]
,
[
1
6
]
.
Fig
u
r
e
4
.
Key
p
ad
c
o
n
n
ec
tio
n
with
R
asp
b
er
r
y
Pi
3
T
ab
le
2
.
R
asp
b
er
r
y
m
icr
o
c
o
n
tr
o
ller
p
o
r
ts
I
n
p
u
t
s
R
o
w
O
u
t
p
u
t
s
C
o
l
o
m
G
P
I
O
2
6
0
G
P
I
O
8
0
G
P
I
O
1
6
1
G
P
I
O
6
1
G
P
I
O
2
0
2
G
P
I
O
1
3
2
G
P
I
O
2
1
3
G
P
I
O
1
9
3
3
.
3
.
Audi
o
dig
it
a
l
-
to
-
a
na
lo
g
co
nv
er
t
er
bo
a
rd
T
h
is
ca
r
d
is
co
n
s
id
er
ed
o
n
e
o
f
th
e
m
o
s
t
im
p
o
r
tan
t
b
o
ar
d
s
co
m
p
atib
le
with
th
e
R
asp
b
er
r
y
Pi
,
as
it
c
o
n
ta
in
s
4
0
p
i
n
s
,
w
h
i
c
h
ar
e
c
o
n
n
ec
t
ed
to
tr
an
s
m
i
t
a
u
d
io
s
i
g
n
als
v
i
a
t
h
e
m
ic
r
o
c
o
n
t
r
o
lle
r
.
I
t
f
il
te
r
s
a
u
d
io
s
ig
n
als
wi
th
v
er
y
h
ig
h
ac
cu
r
ac
y
an
d
q
u
a
lit
y
.
I
t
a
ls
o
p
r
o
c
ess
es
o
u
t
g
o
i
n
g
s
i
g
n
als
,
eli
m
i
n
at
es
n
o
is
e
,
a
n
d
i
n
c
r
e
ases
th
e
SNR
co
ef
f
i
ci
en
t.
T
h
is
c
ar
d
co
n
t
ai
n
s
m
o
r
e
t
h
a
n
s
e
p
a
r
at
e
au
d
i
o
p
o
r
ts
f
o
r
i
n
p
u
t
a
n
d
o
u
tp
u
t
.
I
t
h
as
a
m
ic
r
o
p
h
o
n
e
p
o
r
t.
I
t
is
p
o
w
er
e
d
b
y
t
h
e
R
as
p
b
er
r
y
P
i
3
,
[
1
7
]
–
[
2
0
]
,
as
p
r
es
en
te
d
i
n
Fi
g
u
r
e
5
.
Fig
u
r
e
6
s
h
o
w
s
t
h
e
m
ai
n
c
o
m
p
o
n
e
n
ts
o
f
t
h
e
p
r
o
p
o
s
e
d
s
y
s
t
em
an
d
te
r
m
i
n
al
d
ev
i
ce
s
.
R
as
p
b
er
r
y
Pi
3
,
a
u
d
i
o
d
i
g
i
tal
-
to
-
a
n
a
lo
g
co
n
v
e
r
te
r
(
DAC
)
b
o
a
r
d
,
m
a
tr
ix
k
e
y
p
a
d
-
1
6
p
in
s
,
an
d
co
n
n
ec
ti
o
n
.
DAC
b
o
a
r
d
f
ea
tu
r
es
:
co
m
p
ati
b
l
e
w
it
h
a
ll
R
asp
b
e
r
r
y
Pi
m
i
cr
o
c
o
n
t
r
o
lle
r
s
;
s
t
er
e
o
a
u
x
ili
ar
y
(
AUX
I
N
)
i
n
p
u
t
c
h
a
n
n
el
;
s
t
e
r
e
o
a
u
x
ili
ar
y
(
h
ea
d
p
h
o
n
e
/AUX
OUT
)
o
u
tp
u
t
ch
an
n
el
;
24
-
b
it
1
9
2
k
Hz
d
ig
ital
au
d
io
;
p
a
n
el
-
m
o
u
n
ted
s
ter
eo
p
h
o
n
e
(
R
C
A)
s
o
ck
et
o
u
tp
u
t
;
an
alo
g
u
e
(0
–
2
V
R
MS
v
ia
P7
)
o
u
t
;
P1
/GPIO
2
7
-
an
al
o
g
u
e
o
u
tp
u
t
;
P5
/
alter
n
ativ
e
p
o
wer
in
p
u
t
;
an
d
P6
/
h
ea
d
p
h
o
n
e
o
u
tp
u
t so
ck
et
[
2
1
]
.
Fig
u
r
e
5
.
Au
d
io
DAC b
o
ar
d
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
9
3
8
I
n
t J Ar
tif
I
n
tell
,
Vo
l.
1
4
,
No
.
6
,
Dec
em
b
er
2
0
2
5
:
4
5
0
2
-
4
5
1
0
4506
Fig
u
r
e
6
.
Ma
in
b
o
ar
d
s
y
s
tem
4.
SO
F
T
WAR
E
R
E
Q
UIR
E
M
E
NT
S
Su
p
p
o
r
t
d
ev
ices
f
o
r
b
u
ild
in
g
a
s
o
u
n
d
-
s
en
s
e
m
eter
ar
e
m
i
cr
o
p
h
o
n
es,
s
o
u
n
d
ca
r
d
/
an
al
o
g
-
to
-
d
i
g
ital
co
n
v
er
ter
(
ADC
)
,
an
d
ca
b
les.
I
n
th
is
s
tu
d
y
,
a
co
m
p
u
ter
was
u
s
ed
to
p
r
o
g
r
am
a
m
icr
o
co
n
tr
o
ller
with
th
e
L
in
u
x
o
p
er
atin
g
s
y
s
tem
.
T
h
is
is
co
n
s
id
er
ed
o
n
e
o
f
th
e
m
o
s
t im
p
o
r
t
an
t a
n
d
f
am
o
u
s
s
y
s
tem
s
b
ec
au
s
e
it is
o
p
en
s
o
u
r
ce
.
T
h
e
f
o
llo
win
g
d
iag
r
a
m
s
h
o
ws
th
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
f
o
r
p
r
o
g
r
am
m
in
g
th
is
s
y
s
tem
,
s
ee
Fig
u
r
e
7
.
T
h
is
d
iag
r
am
s
h
o
ws
th
e
alg
o
r
i
th
m
u
s
ed
in
p
r
o
g
r
am
m
in
g
th
is
s
y
s
tem
.
He
b
eg
in
s
to
p
r
ep
ar
e
th
e
b
asic
co
m
p
o
n
en
ts
o
f
th
e
m
icr
o
co
n
t
r
o
ller
s
y
s
tem
,
th
e
am
p
lifie
r
ca
r
d
,
an
d
th
e
in
p
u
t
an
d
o
u
tp
u
t
s
witch
cir
cu
it.
T
h
e
au
d
io
f
r
e
q
u
en
c
y
to
b
e
g
en
er
at
ed
is
ch
o
s
en
ac
co
r
d
in
g
to
ea
c
h
p
atien
t.
T
wo
f
r
e
q
u
en
cies
ar
e
g
en
er
ated
with
a
s
in
e
wav
e
to
b
e
s
en
t
to
th
e
p
at
ien
t
an
d
r
ec
eiv
ed
v
ia
a
lo
u
d
s
p
ea
k
er
.
T
h
is
s
ig
n
al
is
d
elay
ed
b
y
2
5
0
m
illi
s
ec
o
n
d
s
to
b
e
p
r
o
ce
s
s
ed
,
f
ilter
ed
,
a
n
d
t
h
e
f
in
al
r
esu
lts
d
is
p
lay
ed
.
W
h
en
th
e
p
r
o
g
r
a
m
en
d
s
,
p
r
ess
p
in
2
0
.
Fig
u
r
e
7
.
So
f
twar
e
alg
o
r
ith
m
5.
CO
NVO
L
U
T
I
O
NA
L
NE
UR
AL
NE
T
WO
RK
L
AY
E
R
A
co
n
v
o
lu
tio
n
al
n
eu
r
al
n
etwo
r
k
(
C
NN
)
lay
er
ty
p
ically
in
clu
d
es
th
r
ee
o
p
er
atio
n
s
:
co
n
v
o
lu
tio
n
al
lay
er
s
,
ac
tiv
atio
n
lay
er
s
,
an
d
m
ax
p
o
o
lin
g
lay
e
rs
[
2
2
]
–
[
2
6
]
.
Usi
n
g
th
e
m
o
r
e
g
en
e
r
al
id
ea
o
f
p
ar
am
eter
s
h
ar
in
g
.
I
n
s
tead
o
f
a
f
u
ll c
o
n
n
ec
tio
n
co
n
v
o
lu
tio
n
o
p
er
at
o
r
in
n
eu
r
al
n
etwo
r
k
s
is
as f
o
llo
ws
,
s
ee
Fig
u
r
e
8
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ar
tif
I
n
tell
I
SS
N:
2252
-
8
9
3
8
I
n
ex
p
en
s
ive
h
u
ma
n
a
u
d
io
metr
ic
s
ystem
u
s
in
g
r
a
s
p
b
err
y
p
i a
n
d
…
(
A
b
d
u
lr
a
fa
Hu
s
s
a
in
Ma
r
a
y)
4507
Fig
u
r
e
8
.
A
b
asic CNN a
r
ch
itectu
r
e
I
is
th
e
in
p
u
t
an
d
K
is
ca
lled
th
e
k
er
n
els
with
th
e
(
3
)
.
T
h
e
k
er
n
el
K
will
b
e
lear
n
ed
(
r
ep
lace
s
th
e
weig
h
ts
W
in
a
f
u
lly
co
n
n
e
cted
lay
er
)
.
Fig
u
r
e
9
s
h
o
ws
th
e
p
r
o
ce
s
s
o
f
tr
ain
in
g
a
d
e
ep
n
eu
r
al
n
etwo
r
k
,
ep
o
ch
2
0
,
elap
s
ed
tim
e
2
5
s
ec
,
iter
atio
n
s
p
er
ep
o
ch
3
,
an
d
m
ax
im
u
m
iter
atio
n
s
6
0
.
(
,
)
=
(
∗
)
(
,
)
∑
∑
(
+
,
+
)
(
,
)
(
3
)
Fig
u
r
e
9
.
T
r
ain
in
g
p
r
o
g
r
ess
o
f
d
ee
p
n
etwo
r
k
d
esig
n
6.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
T
h
e
r
esu
lts
in
Fig
u
r
e
10
o
b
tain
ed
th
r
o
u
g
h
t
h
e
g
r
ap
h
ical
in
ter
f
ac
e
GUI
in
th
e
MA
T
L
AB
2
0
2
0
p
r
o
g
r
a
m
in
d
icate
th
e
wav
elen
g
th
s
p
ec
tr
u
m
o
f
th
e
f
r
e
q
u
en
ci
es
o
f
th
e
au
d
io
s
ig
n
als
g
en
e
r
a
ted
b
y
th
e
s
y
s
tem
,
wh
ich
ar
e:
F1
:
3
.
2
KHz
,
F2
:
3
.
8
2
KHz
,
an
d
t
h
e
f
ee
d
in
g
s
ig
n
al
F3
is
2
.
6
KHz
.
T
h
e
p
r
o
p
o
s
e
d
s
o
lu
tio
n
ac
h
iev
es
an
id
en
tific
atio
n
ac
c
u
r
ac
y
r
an
g
in
g
f
r
o
m
9
3
to
9
8
%,
with
f
al
s
e
alar
m
r
ates b
etwe
en
1
a
n
d
2
%.
T
h
is
5
%
m
ar
g
i
n
h
ig
h
lig
h
ts
th
e
m
eth
o
d
'
s
h
ig
h
e
f
f
icien
cy
in
d
etec
tin
g
h
a
r
m
f
u
l
h
o
s
ts
.
W
h
en
d
is
cu
s
s
in
g
th
ese
r
esu
lt
s
,
we
f
in
d
th
at
th
e
s
y
s
tem
o
p
er
ates
with
h
ig
h
ef
f
icien
cy
an
d
h
as
m
an
y
ad
v
an
tag
es
,
s
u
ch
as
lo
w
p
r
ice,
lig
h
t
weig
h
t,
s
m
all
s
ize,
p
o
r
tab
ility
,
an
d
d
o
es
n
o
t
n
ee
d
a
h
ig
h
p
o
wer
s
o
u
r
ce
,
as
it
o
p
er
ates
o
n
5
v
o
lts
.
T
h
e
r
e
s
u
lts
we
h
av
e
r
ea
ch
ed
a
r
e
wo
n
d
er
f
u
l
an
d
r
eliab
le.
T
h
is
s
y
s
tem
ca
n
co
n
tr
o
l
th
e
v
alu
e
o
f
th
e
g
e
n
er
ated
f
r
eq
u
e
n
cies
with
in
0
.
5
to
20
k
Hz.
He
ar
in
g
test
f
o
r
all
ag
e
g
r
o
u
p
s
.
Fig
u
r
e
1
1
s
h
o
ws
th
e
s
h
ap
e
o
f
th
e
s
ig
n
als
g
e
n
er
ated
b
y
t
h
e
s
y
s
tem
,
th
e
s
h
a
p
e
o
f
t
h
e
s
ig
n
al
r
ec
eiv
e
d
f
r
o
m
t
h
e
p
atien
t’
s
ea
r
,
an
d
th
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
9
3
8
I
n
t J Ar
tif
I
n
tell
,
Vo
l.
1
4
,
No
.
6
,
Dec
em
b
er
2
0
2
5
:
4
5
0
2
-
4
5
1
0
4508
d
if
f
er
en
ce
b
etwe
en
th
e
in
ten
s
i
ty
o
f
th
ese
s
ig
n
als.
T
ab
le
3
s
h
o
ws
th
e
an
aly
s
is
o
f
th
e
r
esu
lt
s
wh
en
ch
an
g
in
g
th
e
f
ilter
s
izes a
n
d
k
er
n
el
s
ize
with
ch
an
g
in
g
th
e
lay
er
lev
el.
Fig
u
r
e
1
0
.
Sp
ec
tr
u
m
a
n
aly
s
t p
o
s
itio
n
in
in
p
u
t/o
u
tp
u
t sig
n
als
Fig
u
r
e
1
1
.
GUI
b
y
MA
T
L
AB
2
0
2
0
(
F1
: 3
.
2
KHz
,
F2
: 3
.
8
2
KHz
,
F3
is
2
.
6
KHz
)
T
ab
le
3
.
T
he
C
NN
r
e
s
u
lts
wh
en
ch
an
g
in
g
th
e
f
ilter
s
izes
an
d
k
er
n
el
s
ize
La
y
e
r
K
e
r
n
e
l
si
z
e
S
i
z
e
F
e
a
t
u
r
e
ma
p
S
t
r
i
d
e
A
c
t
i
v
a
t
i
o
n
I
n
p
u
t
I
mag
e
-
3
2
×
3
2
1
-
-
1
C
o
n
v
o
l
u
t
i
o
n
5
×
5
2
8
×
2
8
6
1
t
a
r
i
h
2
A
v
e
r
a
g
e
p
o
o
l
i
n
g
2
×
2
1
4
×
1
4
6
2
t
a
r
i
h
3
C
o
n
v
o
l
u
t
i
o
n
5
×
5
1
0
×
1
0
16
1
t
a
r
i
h
4
A
v
e
r
a
g
e
p
o
o
l
i
n
g
2
×
2
5
×
5
16
2
t
a
r
i
h
5
C
o
n
v
o
l
u
t
i
o
n
5
×
5
1
×
1
1
2
0
1
t
a
r
i
h
7.
CO
NCLU
SI
O
N
T
h
is
p
r
o
p
o
s
ed
s
tu
d
y
s
u
m
m
ar
i
ze
s
th
e
d
esig
n
a
n
d
im
p
lem
en
t
atio
n
o
f
an
o
p
en
-
s
o
u
r
ce
s
y
s
tem
b
ased
o
n
a
lo
w
-
co
s
t
R
a
s
p
b
er
r
y
Pi
3
co
n
tr
o
ller
to
m
ea
s
u
r
e
h
u
m
a
n
h
ea
r
in
g
lev
els
f
o
r
p
e
o
p
le
with
h
ea
r
in
g
lo
s
s
.
T
h
is
s
y
s
tem
ac
h
iev
ed
its
m
ain
o
b
jectiv
es,
th
e
m
o
s
t
im
p
o
r
tan
t
o
f
wh
ich
was
to
ad
d
r
ess
th
e
p
r
o
b
lem
o
f
h
ea
r
in
g
lo
s
s
in
I
r
aq
i
s
o
ciety
an
d
am
o
n
g
m
an
y
d
if
f
er
en
t
a
g
e
g
r
o
u
p
s
.
T
h
e
s
y
s
tem
ac
h
iev
ed
th
e
b
e
s
t
ac
cu
r
ate
r
esu
lts
,
wh
ich
wer
e
d
is
cu
s
s
ed
in
th
e
p
r
ev
io
u
s
s
ec
tio
n
,
wh
er
e
th
e
r
eq
u
ir
ed
a
u
d
io
f
r
eq
u
en
cy
r
an
g
e
(
5
0
0
t
o
1
2
k
Hz)
was
g
en
er
ated
u
s
in
g
p
u
ls
e
wid
th
m
o
d
u
lato
r
(
PW
M
)
tech
n
o
lo
g
y
a
n
d
s
ig
n
al
an
aly
s
is
th
r
o
u
g
h
th
e
d
esig
n
an
d
tr
ain
in
g
o
f
a
C
NN,
p
r
o
v
in
g
th
e
r
eliab
ilit
y
b
etwe
en
th
e
p
r
o
b
lem
an
d
th
e
tech
n
ical
s
o
lu
tio
n
.
T
h
is
s
y
s
tem
also
h
as a
lar
g
e
n
u
m
b
er
o
f
s
p
ec
if
ic
atio
n
s
(
lig
h
tweig
h
t,
lo
w
p
r
ice,
en
er
g
y
e
f
f
icien
t,
an
d
ea
s
y
to
u
s
e)
.
Fu
tu
r
e
s
tu
d
ies:
in
th
is
s
tu
d
y
,
ex
ce
llen
t
r
esu
lts
wer
e
ac
h
iev
ed
a
n
d
we
s
u
g
g
est
th
at
f
u
tu
r
e
s
tu
d
ies
f
o
cu
s
o
n
d
ev
elo
p
i
n
g
th
e
m
o
d
el,
im
p
r
o
v
in
g
th
e
ac
c
u
r
a
cy
o
f
d
iag
n
o
s
is
an
d
d
if
f
er
en
t
iatio
n
b
etwe
en
d
if
f
er
en
t
ty
p
e
s
o
f
h
ea
r
in
g
lo
s
s
,
ex
p
an
d
i
n
g
th
e
d
atab
ase
u
s
ed
t
o
tr
ain
th
e
C
NN,
d
esig
n
in
g
an
d
d
ev
elo
p
in
g
a
u
s
er
ap
p
licatio
n
f
o
r
s
m
ar
tp
h
o
n
es,
an
d
cr
ea
tin
g
a
s
im
p
le
web
in
te
r
f
ac
e
to
m
a
k
e
th
e
s
y
s
tem
m
o
r
e
u
s
er
-
f
r
ien
d
ly
with
th
e
I
o
T
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ar
tif
I
n
tell
I
SS
N:
2252
-
8
9
3
8
I
n
ex
p
en
s
ive
h
u
ma
n
a
u
d
io
metr
ic
s
ystem
u
s
in
g
r
a
s
p
b
err
y
p
i a
n
d
…
(
A
b
d
u
lr
a
fa
Hu
s
s
a
in
Ma
r
a
y)
4509
F
UNDING
I
NF
O
R
M
A
T
I
O
N
Au
th
o
r
s
s
tate
n
o
f
u
n
d
in
g
in
v
o
lv
ed
.
AUTHO
R
CO
NT
RI
B
UT
I
O
NS ST
A
T
E
M
E
N
T
T
h
is
jo
u
r
n
al
u
s
es
th
e
C
o
n
t
r
ib
u
to
r
R
o
les
T
a
x
o
n
o
m
y
(
C
R
ed
iT)
to
r
ec
o
g
n
ize
in
d
iv
i
d
u
al
au
th
o
r
co
n
tr
ib
u
tio
n
s
,
r
ed
u
ce
au
th
o
r
s
h
ip
d
is
p
u
tes,
an
d
f
ac
ilit
ate
co
llab
o
r
atio
n
.
Na
m
e
o
f
Aut
ho
r
C
M
So
Va
Fo
I
R
D
O
E
Vi
Su
P
Fu
A
b
d
u
l
r
a
f
a
H
u
s
s
a
i
n
M
a
r
a
y
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
M
u
a
t
a
z
A
k
r
a
m
H
a
s
s
a
n
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
T
ah
a
Hu
s
s
ein
Ma
r
ai
Al
-
Hass
an
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
C
:
C
o
n
c
e
p
t
u
a
l
i
z
a
t
i
o
n
M
:
M
e
t
h
o
d
o
l
o
g
y
So
:
So
f
t
w
a
r
e
Va
:
Va
l
i
d
a
t
i
o
n
Fo
:
Fo
r
mal
a
n
a
l
y
s
i
s
I
:
I
n
v
e
s
t
i
g
a
t
i
o
n
R
:
R
e
so
u
r
c
e
s
D
:
D
a
t
a
C
u
r
a
t
i
o
n
O
:
W
r
i
t
i
n
g
-
O
r
i
g
i
n
a
l
D
r
a
f
t
E
:
W
r
i
t
i
n
g
-
R
e
v
i
e
w
&
E
d
i
t
i
n
g
Vi
:
Vi
su
a
l
i
z
a
t
i
o
n
Su
:
Su
p
e
r
v
i
s
i
o
n
P
:
P
r
o
j
e
c
t
a
d
mi
n
i
st
r
a
t
i
o
n
Fu
:
Fu
n
d
i
n
g
a
c
q
u
i
si
t
i
o
n
CO
NF
L
I
C
T
O
F
I
N
T
E
R
E
S
T
ST
A
T
E
M
E
NT
Au
th
o
r
s
s
tate
n
o
co
n
f
lict o
f
in
t
er
est.
DATA AV
AI
L
AB
I
L
I
T
Y
T
h
e
d
ata
th
at
s
u
p
p
o
r
t
th
e
f
i
n
d
in
g
s
o
f
th
is
s
tu
d
y
ar
e
av
aila
b
le
o
n
r
eq
u
est
f
r
o
m
th
e
co
r
r
esp
o
n
d
in
g
au
th
o
r
,
[
AHM
]
.
T
h
e
d
ata,
wh
ich
co
n
tain
in
f
o
r
m
atio
n
t
h
at
co
u
ld
co
m
p
r
o
m
is
e
th
e
p
r
iv
ac
y
o
f
r
esear
ch
p
ar
ticip
an
ts
,
ar
e
n
o
t p
u
b
licly
a
v
ailab
le
d
u
e
to
ce
r
tain
r
estrictio
n
s
.
RE
F
E
R
E
NC
E
S
[
1
]
J
.
J
.
G
u
i
n
a
n
,
“
C
h
a
n
g
e
s
i
n
s
t
i
m
u
l
u
s
f
r
e
q
u
e
n
c
y
o
t
o
a
c
o
u
s
t
i
c
e
m
i
s
s
i
o
n
s
p
r
o
d
u
c
e
d
b
y
t
w
o
-
t
o
n
e
s
u
p
p
r
e
s
s
i
o
n
a
n
d
e
f
f
e
r
e
n
t
s
t
i
m
u
l
a
t
i
o
n
i
n
c
a
t
s
,
”
i
n
T
h
e
M
e
c
h
a
n
i
c
s
a
n
d
B
i
o
p
h
y
s
i
c
s
o
f
H
e
a
r
i
n
g
,
N
e
w
Y
o
r
k
:
S
p
r
i
n
g
e
r
,
1
9
9
0
,
p
p
.
1
7
0
–
1
7
7
,
d
o
i
:
1
0
.
1
0
0
7
/
9
7
8
-
1
-
4
7
5
7
-
4
3
4
1
-
8
_
2
1
.
[
2
]
G
.
Zw
e
i
g
a
n
d
C
.
A
.
S
h
e
r
a
,
“
T
h
e
o
r
i
g
i
n
o
f
p
e
r
i
o
d
i
c
i
t
y
i
n
t
h
e
sp
e
c
t
r
u
m
o
f
e
v
o
k
e
d
o
t
o
a
c
o
u
s
t
i
c
e
mi
ss
i
o
n
s
,
”
T
h
e
J
o
u
r
n
a
l
o
f
t
h
e
Ac
o
u
s
t
i
c
a
l
S
o
c
i
e
t
y
o
f
Am
e
ri
c
a
,
v
o
l
.
9
8
,
n
o
.
4
,
p
p
.
2
0
1
8
–
2
0
4
7
,
1
9
9
5
,
d
o
i
:
1
0
.
1
1
2
1
/
1
.
4
1
3
3
2
0
.
[
3
]
G
.
D
.
C
e
u
l
a
e
r
e
t
a
l
.
,
“
N
e
o
n
a
t
a
l
h
e
a
r
i
n
g
s
c
r
e
e
n
i
n
g
w
i
t
h
t
r
a
n
si
e
n
t
e
v
o
k
e
d
o
t
o
a
c
o
u
s
t
i
c
e
m
i
ssi
o
n
s:
a
l
e
a
r
n
i
n
g
c
u
r
v
e
,
”
I
n
t
e
rn
a
t
i
o
n
a
l
J
o
u
rn
a
l
o
f
Au
d
i
o
l
o
g
y
,
v
o
l
.
3
8
,
n
o
.
6
,
p
p
.
2
9
6
–
3
0
2
,
1
9
9
9
,
d
o
i
:
1
0
.
3
1
0
9
/
0
0
2
0
6
0
9
9
9
0
9
0
7
3
0
3
9
.
[
4
]
P
.
A
.
D
o
r
n
,
P
.
P
i
sk
o
r
sk
i
,
M
.
P
.
G
o
r
g
a
,
S
.
T.
N
e
e
l
y
,
a
n
d
D
.
H
.
K
e
e
f
e
,
“
P
r
e
d
i
c
t
i
n
g
a
u
d
i
o
met
r
i
c
st
a
t
u
s
f
r
o
m
d
i
st
o
r
t
i
o
n
p
r
o
d
u
c
t
o
t
o
a
c
o
u
st
i
c
e
mi
ss
i
o
n
s
u
s
i
n
g
mu
l
t
i
v
a
r
i
a
t
e
a
n
a
l
y
ses,
”
Ea
r
a
n
d
H
e
a
ri
n
g
,
v
o
l
.
2
0
,
n
o
.
2
,
p
p
.
1
4
9
–
1
6
3
,
1
9
9
9
,
d
o
i
:
1
0
.
1
0
9
7
/
0
0
0
0
3
4
4
6
-
1
9
9
9
0
4
0
0
0
-
0
0
0
0
6
.
[
5
]
S
.
G
a
b
b
a
r
d
,
J.
N
o
r
t
h
e
r
n
,
a
n
d
C
.
Y
.
I
t
a
n
o
,
“
H
e
a
r
i
n
g
s
c
r
e
e
n
i
n
g
i
n
n
e
w
b
o
r
n
s
u
n
d
e
r
2
4
h
o
u
r
s
o
f
a
g
e
,
”
S
e
m
i
n
a
rs
i
n
H
e
a
ri
n
g
,
v
o
l
.
2
0
,
n
o
.
4
,
p
p
.
2
9
1
–
3
0
4
,
N
o
v
.
1
9
9
9
,
d
o
i
:
1
0
.
1
0
5
5
/
s
-
0
0
2
8
-
1
0
8
2
9
4
5
.
[
6
]
K
.
S
.
S
c
h
a
i
r
e
r
,
D
.
F
i
t
z
p
a
t
r
i
c
k
,
a
n
d
D
.
H
.
K
e
e
f
e
,
“
I
n
p
u
t
–
o
u
t
p
u
t
f
u
n
c
t
i
o
n
s
f
o
r
st
i
mu
l
u
s
-
f
r
e
q
u
e
n
c
y
o
t
o
a
c
o
u
s
t
i
c
e
mi
ssi
o
n
s
i
n
n
o
r
mal
-
h
e
a
r
i
n
g
a
d
u
l
t
e
a
r
s
,
”
T
h
e
J
o
u
rn
a
l
o
f
t
h
e
Ac
o
u
st
i
c
a
l
S
o
c
i
e
t
y
o
f
Am
e
ri
c
a
,
v
o
l
.
1
1
4
,
n
o
.
2
,
p
p
.
9
4
4
–
9
6
6
,
2
0
0
3
,
d
o
i
:
1
0
.
1
1
2
1
/
1
.
1
5
9
2
7
9
9
.
[
7
]
S
.
W
.
F
.
M
e
e
n
d
e
r
i
n
k
a
n
d
P
.
M
.
N
a
r
i
n
s,
“
S
t
i
m
u
l
u
s
f
r
e
q
u
e
n
c
y
o
t
o
a
c
o
u
st
i
c
e
mi
ss
i
o
n
s
i
n
t
h
e
N
o
r
t
h
e
r
n
l
e
o
p
a
r
d
f
r
o
g
,
Ra
n
a
p
i
p
i
e
n
s
p
i
p
i
e
n
s
:
i
m
p
l
i
c
a
t
i
o
n
s
f
o
r
i
n
n
e
r
e
a
r
m
e
c
h
a
n
i
c
s,”
H
e
a
r
i
n
g
Re
s
e
a
r
c
h
,
v
o
l
.
2
2
0
,
n
o
.
1
–
2
,
p
p
.
6
7
–
7
5
,
2
0
0
6
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
h
e
a
r
e
s.
2
0
0
6
.
0
7
.
0
0
9
.
[
8
]
R
.
K
a
l
l
u
r
i
a
n
d
C
.
A
.
S
h
e
r
a
,
“
M
e
a
s
u
r
i
n
g
st
i
m
u
l
u
s
-
f
r
e
q
u
e
n
c
y
o
t
o
a
c
o
u
st
i
c
e
m
i
ss
i
o
n
s
u
s
i
n
g
sw
e
p
t
t
o
n
e
s,”
T
h
e
J
o
u
rn
a
l
o
f
t
h
e
Ac
o
u
s
t
i
c
a
l
S
o
c
i
e
t
y
o
f
Am
e
ri
c
a
,
v
o
l
.
1
3
4
,
n
o
.
1
,
p
p
.
3
5
6
–
3
6
8
,
2
0
1
3
,
d
o
i
:
1
0
.
1
1
2
1
/
1
.
4
8
0
7
5
0
5
.
[
9
]
C
.
L.
W
o
n
g
e
t
a
l
.
,
“
P
s
y
c
h
o
so
c
i
a
l
d
e
v
e
l
o
p
m
e
n
t
i
n
5
-
y
e
a
r
-
o
l
d
c
h
i
l
d
r
e
n
w
i
t
h
h
e
a
r
i
n
g
l
o
ss
u
s
i
n
g
h
e
a
r
i
n
g
a
i
d
s
o
r
c
o
c
h
l
e
a
r
i
m
p
l
a
n
t
s,
”
T
ren
d
s
i
n
h
e
a
r
i
n
g
,
v
o
l
.
2
1
,
2
0
1
7
,
d
o
i
:
1
0
.
1
1
7
7
/
2
3
3
1
2
1
6
5
1
7
7
1
0
3
7
3
.
[
1
0
]
A
.
H
.
M
a
r
a
y
,
O
.
I
.
A
l
sa
i
f
,
a
n
d
K
.
H
.
Th
a
n
o
o
n
,
“
D
e
si
g
n
a
n
d
i
m
p
l
e
me
n
t
a
t
i
o
n
o
f
l
o
w
-
c
o
s
t
a
u
t
o
ma
t
i
c
i
r
r
i
g
a
t
i
o
n
s
y
st
e
m
u
si
n
g
mi
c
r
o
c
o
n
t
r
o
l
l
e
r
,
”
J
o
u
r
n
a
l
o
f
E
n
g
i
n
e
e
r
i
n
g
S
c
i
e
n
c
e
a
n
d
T
e
c
h
n
o
l
o
g
y
,
v
o
l
.
1
7
,
n
o
.
2
,
p
p
.
1
0
6
8
–
1
0
7
7
,
2
0
2
2
.
[
1
1
]
B
.
S
.
M
.
A
l
i
a
n
d
A
.
H
.
M
a
r
e
e
,
“
Lo
w
c
o
s
t
m
e
d
i
c
a
l
d
a
t
a
a
c
q
u
i
si
t
i
o
n
s
y
s
t
e
m
u
si
n
g
A
V
R
-
M
C
U
a
n
d
P
C
,
”
J
o
u
rn
a
l
o
f
T
h
e
o
re
t
i
c
a
l
a
n
d
Ap
p
l
i
e
d
I
n
f
o
rm
a
t
i
o
n
T
e
c
h
n
o
l
o
g
y
,
v
o
l
.
4
2
,
n
o
.
2
,
p
p
.
2
1
2
–
2
1
9
,
2
0
1
2
.
[
1
2
]
A
.
A
.
E.
N
o
o
r
i
,
M
.
B
.
A
.
S
a
mt
e
r
,
a
n
d
G
.
A
.
K
h
a
l
i
d
,
“
D
e
si
g
n
a
n
d
i
mp
l
e
me
n
t
a
t
i
o
n
o
f
a
u
d
i
o
me
t
r
i
c
i
n
s
t
r
u
me
n
t
b
a
se
d
o
n
mi
c
r
o
c
o
n
t
r
o
l
l
e
r
,
”
J
o
u
r
n
a
l
o
f
E
n
g
i
n
e
e
r
i
n
g
a
n
d
S
u
st
a
i
n
a
b
l
e
D
e
v
e
l
o
p
m
e
n
t
,
v
o
l
.
1
7
,
n
o
.
1
,
2
0
1
3
.
[
1
3
]
P
.
D
.
P
.
A
d
i
a
n
d
A
.
K
i
t
a
g
a
w
a
,
“
Zi
g
b
e
e
r
a
d
i
o
f
r
e
q
u
e
n
c
y
(
R
F
)
p
e
r
f
o
r
ma
n
c
e
o
n
R
a
s
p
b
e
r
r
y
P
i
3
f
o
r
i
n
t
e
r
n
e
t
o
f
t
h
i
n
g
s
(
I
o
T)
b
a
se
d
b
l
o
o
d
p
r
e
ssu
r
e
s
e
n
s
o
r
s
mo
n
i
t
o
r
i
n
g
,
”
I
n
t
e
r
n
a
t
i
o
n
a
l
J
o
u
r
n
a
l
o
f
Ad
v
a
n
c
e
d
C
o
m
p
u
t
e
r
S
c
i
e
n
c
e
a
n
d
Ap
p
l
i
c
a
t
i
o
n
s
,
v
o
l
.
1
0
,
n
o
.
5
,
p
p
.
1
8
–
2
7
,
2
0
1
9
,
d
o
i
:
1
0
.
1
4
5
6
9
/
i
j
a
c
s
a
.
2
0
1
9
.
0
1
0
0
5
0
4
.
[
1
4
]
K
.
M
o
h
a
n
r
a
j
,
N
.
B
a
l
a
j
i
,
a
n
d
R
.
C
h
i
t
h
r
a
k
k
a
n
n
a
n
,
“
I
o
T
b
a
se
d
p
a
t
i
e
n
t
m
o
n
i
t
o
r
i
n
g
s
y
s
t
e
m
u
si
n
g
R
a
s
p
b
e
r
r
y
P
i
3
a
n
d
l
a
b
v
i
e
w
,
”
Pa
k
i
st
a
n
J
o
u
rn
a
l
o
f
Bi
o
t
e
c
h
n
o
l
o
g
y
,
v
o
l
.
1
4
,
n
o
.
3
,
p
p
.
3
3
7
–
3
4
3
,
2
0
1
7
.
[
1
5
]
D
.
S
o
n
a
l
i
a
n
d
K
.
V
e
n
k
a
t
a
su
b
r
a
m
a
n
i
a
n
,
“
A
R
a
sp
b
e
r
r
y
-
P
i
b
a
se
d
I
O
T
sy
s
t
e
m
f
o
r
mea
s
u
r
i
n
g
t
h
e
e
n
v
i
r
o
n
me
n
t
a
l
p
a
r
a
m
e
t
e
r
s
t
o
mo
n
i
t
o
r
t
h
e
p
o
l
l
u
t
i
o
n
l
e
v
e
l
u
s
i
n
g
I
B
M
B
l
u
e
mi
x
,
”
P
a
k
i
st
a
n
J
o
u
rn
a
l
o
f
B
i
o
t
e
c
h
n
o
l
o
g
y
,
v
o
l
.
1
3
,
p
p
.
2
3
1
–
2
3
5
,
2
0
1
6
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
9
3
8
I
n
t J Ar
tif
I
n
tell
,
Vo
l.
1
4
,
No
.
6
,
Dec
em
b
er
2
0
2
5
:
4
5
0
2
-
4
5
1
0
4510
[
1
6
]
C
.
W
.
Z
h
a
o
,
J.
Je
g
a
t
h
e
e
s
a
n
,
a
n
d
S
.
C
.
L
o
o
n
,
“
E
x
p
l
o
r
i
n
g
i
o
t
a
p
p
l
i
c
a
t
i
o
n
u
s
i
n
g
R
a
s
p
b
e
r
r
y
P
i
,
”
I
n
t
e
r
n
a
t
i
o
n
a
l
J
o
u
r
n
a
l
o
f
C
o
m
p
u
t
e
r
N
e
t
w
o
rks
a
n
d
A
p
p
l
i
c
a
t
i
o
n
s
,
v
o
l
.
2
,
n
o
.
1
,
p
p
.
2
7
–
3
4
,
2
0
1
5
.
[
1
7
]
J.
N
.
-
Li
n
a
r
e
s
a
n
d
J.
N
.
R
u
i
z
,
“
O
n
t
h
e
a
p
p
l
i
c
a
t
i
o
n
o
f
t
h
e
R
a
s
p
b
e
r
r
y
P
i
a
s
a
n
a
d
v
a
n
c
e
d
a
c
o
u
st
i
c
s
e
n
s
o
r
n
e
t
w
o
r
k
f
o
r
n
o
i
se
mo
n
i
t
o
r
i
n
g
,
”
E
l
e
c
t
r
o
n
i
c
s
,
v
o
l
.
5
,
n
o
.
4
,
2
0
1
6
,
d
o
i
:
1
0
.
3
3
9
0
/
e
l
e
c
t
r
o
n
i
c
s5
0
4
0
0
7
4
.
[
1
8
]
O
.
I
.
A
l
sa
i
f
,
S
.
Q
.
H
a
s
a
n
,
a
n
d
A
.
H
.
M
a
r
a
y
,
“
U
s
i
n
g
sk
e
l
e
t
o
n
m
o
d
e
l
t
o
r
e
c
o
g
n
i
z
e
h
u
m
a
n
g
a
i
t
g
e
n
d
e
r
,
”
I
AES
I
n
t
e
rn
a
t
i
o
n
a
l
J
o
u
rn
a
l
o
f
Art
i
f
i
c
i
a
l
I
n
t
e
l
l
i
g
e
n
c
e
,
v
o
l
.
1
2
,
n
o
.
2
,
p
p
.
9
7
4
–
9
8
3
,
2
0
2
3
,
d
o
i
:
1
0
.
1
1
5
9
1
/
i
j
a
i
.
v
1
2
.
i
2
.
p
p
9
7
4
-
9
8
3
.
[
1
9
]
A
.
H
.
M
a
r
a
y
,
S
.
Q
.
H
a
s
a
n
,
a
n
d
N
.
L.
M
o
h
a
m
me
d
,
“
D
e
si
g
n
a
n
d
i
m
p
l
e
m
e
n
t
a
t
i
o
n
o
f
l
o
w
-
c
o
st
v
e
i
n
-
v
i
e
w
e
r
d
e
t
e
c
t
i
o
n
u
si
n
g
n
e
a
r
i
n
f
r
a
r
e
d
i
m
a
g
i
n
g
,
”
I
n
d
o
n
e
si
a
n
J
o
u
rn
a
l
o
f
El
e
c
t
ri
c
a
l
En
g
i
n
e
e
r
i
n
g
a
n
d
C
o
m
p
u
t
e
r
S
c
i
e
n
c
e
,
v
o
l
.
2
9
,
n
o
.
2
,
p
p
.
1
0
3
9
–
1
0
4
6
,
2
0
2
3
,
d
o
i
:
1
0
.
1
1
5
9
1
/
i
j
e
e
c
s
.
v
2
9
.
i
2
.
p
p
1
0
3
9
-
1
0
4
6
.
[
2
0
]
T.
Y
.
A
b
d
u
l
q
a
d
e
r
,
S
.
A
.
A
b
d
u
l
q
a
d
e
r
,
a
n
d
S
.
A
.
B
a
k
e
r
,
“
E
n
h
a
n
c
i
n
g
i
ma
g
e
r
e
c
o
g
n
i
t
i
o
n
w
i
t
h
q
u
a
t
e
r
n
i
o
n
n
e
u
r
a
l
n
e
t
w
o
r
k
s:
a
n
o
v
e
l
a
p
p
r
o
a
c
h
t
o
c
o
l
o
r
l
a
y
e
r
i
n
t
e
g
r
a
t
i
o
n
,
”
J
o
u
r
n
a
l
o
f
I
m
a
g
e
a
n
d
G
ra
p
h
i
c
s
,
v
o
l
.
1
3
,
n
o
.
2
,
p
p
.
1
9
0
–
1
9
7
,
2
0
2
5
,
d
o
i
:
1
0
.
1
8
1
7
8
/
j
o
i
g
.
1
3
.
2
.
1
9
0
-
1
9
7
.
[
2
1
]
H
.
H
.
M
o
h
a
mm
e
d
,
S
.
A
.
B
a
k
e
r
,
a
n
d
O
.
I
.
A
l
sai
f
,
“
A
n
i
mp
r
o
v
e
d
u
n
d
e
r
w
a
t
e
r
i
m
a
g
e
e
n
h
a
n
c
e
me
n
t
a
p
p
r
o
a
c
h
f
o
r
b
o
r
d
e
r
s
e
c
u
r
i
t
y
,
”
J
o
u
rn
a
l
o
f
I
m
a
g
e
a
n
d
G
r
a
p
h
i
c
s
,
v
o
l
.
1
2
,
n
o
.
2
,
p
p
.
1
9
9
–
2
0
4
,
2
0
2
4
,
d
o
i
:
1
0
.
1
8
1
7
8
/
j
o
i
g
.
1
2
.
2
.
1
9
9
-
2
0
4
.
[
22
]
I
.
D
.
M
i
e
n
y
e
,
T.
G
.
S
w
a
r
t
,
G
.
O
b
a
i
d
o
,
M
.
J
o
r
d
a
n
,
a
n
d
P
.
I
l
o
n
o
,
“
D
e
e
p
c
o
n
v
o
l
u
t
i
o
n
a
l
n
e
u
r
a
l
n
e
t
w
o
r
k
s
i
n
me
d
i
c
a
l
i
mag
e
a
n
a
l
y
s
i
s:
a
r
e
v
i
e
w
,
”
I
n
f
o
rm
a
t
i
o
n
,
v
o
l
.
1
6
,
n
o
.
3
,
2
0
2
5
,
d
o
i
:
1
0
.
3
3
9
0
/
i
n
f
o
1
6
0
3
0
1
9
5
.
[
2
3
]
R
.
K
h
a
n
a
m,
M
.
H
u
ssa
i
n
,
R
.
H
i
l
l
,
a
n
d
P
.
A
l
l
e
n
,
“
A
c
o
mp
r
e
h
e
n
s
i
v
e
r
e
v
i
e
w
o
f
c
o
n
v
o
l
u
t
i
o
n
a
l
n
e
u
r
a
l
n
e
t
w
o
r
k
s
f
o
r
d
e
f
e
c
t
d
e
t
e
c
t
i
o
n
i
n
i
n
d
u
st
r
i
a
l
a
p
p
l
i
c
a
t
i
o
n
s
,
”
I
E
EE
Ac
c
e
ss
,
v
o
l
.
1
2
,
n
o
.
1
,
p
p
.
9
4
2
5
0
–
9
4
2
9
5
,
2
0
2
4
,
d
o
i
:
1
0
.
1
1
0
9
/
A
C
C
ESS
.
2
0
2
4
.
3
4
2
5
1
6
6
.
[
2
4
]
M
.
H
.
R
a
h
ma
n
,
T.
F
.
S
.
A
.
I
sl
a
m,
a
n
d
M
.
R
.
I
sl
a
m,
“
A
c
o
mp
r
e
h
e
n
s
i
v
e
r
e
v
i
e
w
o
f
d
e
e
p
l
e
a
r
n
i
n
g
a
p
p
l
i
c
a
t
i
o
n
s
i
n
i
n
d
u
st
r
i
a
l
d
e
f
e
c
t
d
e
t
e
c
t
i
o
n
:
c
h
a
l
l
e
n
g
e
s
a
n
d
o
p
p
o
r
t
u
n
i
t
i
e
s,”
I
EE
E
A
c
c
e
ss
,
v
o
l
.
1
1
,
p
p
.
4
5
6
7
2
–
4
5
6
9
5
,
2
0
2
3
,
d
o
i
:
1
0
.
1
1
0
9
/
A
C
C
ESS
.
2
0
2
3
.
3
2
7
2
0
0
1
.
[
2
5
]
L.
W
e
n
,
X
.
L
i
,
L.
G
a
o
,
a
n
d
Y
.
Z
h
a
n
g
,
“
A
n
e
w
c
o
n
v
o
l
u
t
i
o
n
a
l
n
e
u
r
a
l
n
e
t
w
o
r
k
-
b
a
se
d
d
a
t
a
-
d
r
i
v
e
n
f
a
u
l
t
d
i
a
g
n
o
si
s
met
h
o
d
,
”
I
E
EE
T
ra
n
s
a
c
t
i
o
n
s
o
n
I
n
d
u
st
r
i
a
l
E
l
e
c
t
r
o
n
i
c
s
,
v
o
l
.
6
5
,
n
o
.
7
,
p
p
.
5
9
9
0
–
5
9
9
8
,
2
0
1
8
,
d
o
i
:
1
0
.
1
1
0
9
/
TI
E.
2
0
1
7
.
2
7
7
4
7
7
7
.
[
2
6
]
S
.
R
e
n
,
K
.
H
e
,
R
.
G
i
r
s
h
i
c
k
,
a
n
d
J
.
S
u
n
,
“
F
a
s
t
e
r
R
-
C
N
N
:
t
o
w
a
r
d
s
r
e
a
l
-
t
i
m
e
o
b
j
e
c
t
d
e
t
e
c
t
i
o
n
w
i
t
h
r
e
g
i
o
n
p
r
o
p
o
s
a
l
n
e
t
w
o
r
k
s
,
”
I
E
E
E
T
r
a
n
s
a
c
t
i
o
n
s
o
n
P
a
t
t
e
r
n
A
n
a
l
y
s
i
s
a
n
d
M
a
c
h
i
n
e
I
n
t
e
l
l
i
g
e
n
c
e
,
v
o
l
.
3
9
,
n
o
.
6
,
p
p
.
1
1
3
7
–
1
1
4
9
,
2
0
1
7
,
d
o
i
:
1
0
.
1
1
0
9
/
T
P
A
M
I
.
2
0
1
6
.
2
5
7
7
0
3
1
.
B
I
O
G
RAP
H
I
E
S O
F
AUTH
O
RS
Ass.
Pro
f.
Abd
u
lra
f
a
H
u
ss
a
in
Ma
r
a
y
re
c
e
iv
e
d
h
is
b
a
c
h
e
lo
r'
s
d
e
g
re
e
in
Co
m
p
u
ter
E
n
g
in
e
e
ri
n
g
fr
o
m
(No
rth
e
rn
Tec
h
n
ica
l
U
n
i
v
e
rsity
)
M
o
su
l
,
Ira
q
,
in
2
0
0
3
,
a
n
d
t
h
e
M
a
ste
r
o
f
S
c
ien
c
e
in
M
icro
e
lec
tr
o
n
ic
fr
o
m
D
e
p
a
rtme
n
t
o
f
C
o
m
p
u
ter
Tec
h
n
ica
l
E
n
g
in
e
e
rin
g
,
No
rth
e
rn
Tec
h
n
ica
l
U
n
iv
e
rsity
in
2
0
1
3
.
He
is
c
u
rre
n
tl
y
w
o
rk
i
n
g
a
s
a
lec
tu
re
r
at
P
o
l
y
tec
h
n
i
c
Co
ll
e
g
e
M
o
su
l
-
No
rt
h
e
rn
Tec
h
n
ic
a
l
Un
iv
e
rsit
y
in
M
o
s
u
l
,
Ira
q
.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
ra
fiallwa
z
e
@n
tu
.
e
d
u
.
i
q
.
Mu
a
t
a
z
Akra
m
H
a
ss
a
n
o
b
tai
n
e
d
Ba
c
h
e
lo
r
o
f
En
g
i
n
e
e
rin
g
in
C
o
m
p
u
ter
Tec
h
n
o
l
o
g
y
En
g
in
e
e
rin
g
in
2
0
0
9
fro
m
Tec
h
n
ica
l
Co
ll
e
g
e
o
f
M
o
su
l
a
n
d
a
M
a
ste
r
o
f
S
c
ien
c
e
in
Co
m
p
u
ter
En
g
in
e
e
rin
g
fr
o
m
Ba
h
c
e
se
h
ir
Un
iv
e
rsity
i
n
Ista
n
b
u
l
,
T
u
rk
e
y
in
2
0
1
6
.
C
u
rre
n
tl
y
,
h
e
wo
rk
s
a
s
a
fa
c
u
lt
y
m
e
m
b
e
r
a
t
th
e
P
o
l
y
tec
h
n
ic
Co
l
leg
e
M
o
su
l
,
No
r
th
e
rn
Tec
h
n
ica
l
Un
iv
e
rsity
,
M
o
su
l
.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
m
ti
.
lec
3
7
.
m
u
a
taz
@n
tu
.
e
d
u
.
i
q
.
Ta
h
a
H
u
ss
e
in
Ma
r
a
i
Al
-
H
a
ss
a
n
o
b
tain
e
d
a
Tec
h
n
ica
l
Dip
l
o
m
a
in
C
o
m
p
u
ter
S
y
ste
m
s
in
2
0
0
3
fro
m
th
e
No
r
th
e
rn
Tec
h
n
ica
l
Un
i
v
e
rsity
a
n
d
a
b
a
c
h
e
lo
r'
s
d
e
g
re
e
in
S
o
f
twa
re
En
g
i
n
e
e
rin
g
in
2
0
0
7
fr
o
m
th
e
Un
iv
e
rsity
o
f
M
o
s
u
l,
Ira
q
,
a
n
d
a
m
a
ste
r'
s
d
e
g
re
e
in
In
fo
rm
a
ti
o
n
Tec
h
n
o
l
o
g
y
fro
m
Alti
n
b
a
s Un
i
v
e
rsity
in
T
u
rk
e
y
in
2
0
2
2
.
He
wo
rk
s
a
t
th
e
Un
iv
e
rsit
y
o
f
M
o
su
l
,
El
e
c
tro
n
ic
Co
m
p
u
ter
Ce
n
t
e
r
,
Ira
q
.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
so
ften
g
_
tah
a
@u
o
m
o
su
l
.
e
d
u
.
iq
o
r
2
0
3
7
2
1
0
8
0
@a
l
u
m
n
i.
a
lt
in
b
a
s.e
d
u
.
tr
.
Evaluation Warning : The document was created with Spire.PDF for Python.