I
n
d
on
e
s
i
an
Jo
u
r
n
al
o
f
El
e
c
t
r
i
c
al
En
gi
n
e
e
r
i
n
g
an
d
C
o
m
p
u
te
r
S
c
i
e
n
c
e
V
o
l
.
19
,
N
o
.
2
,
A
ugus
t
20
20
,
pp
.
10
00
~
1
00
9
IS
S
N
:
25
02
-
4752
,
D
O
I
:
10.
1
1591
/
i
j
e
e
c
s
.
v
19
.i
2
.
pp
10
00
-
1
00
9
1000
Jou
r
n
al
h
o
m
e
pa
ge
:
ht
t
p:
/
/
i
j
e
e
c
s
.
i
a
e
s
c
or
e
.
c
om
In
d
o
n
e
si
a
n
n
e
w
s c
l
a
ssi
f
i
c
a
t
i
o
n
u
si
n
g
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
M
u
h
amm
ad
A
l
i
R
am
d
h
an
i
1
,
D
i
an
S
a’ad
i
l
l
ah
M
ayl
aw
ati
2
,
Te
d
d
y
M
an
to
r
o
3
1
D
e
pa
r
t
m
e
n
t
o
f
I
nf
o
r
m
a
t
i
c
s
,
U
I
N
S
una
n
G
un
ung
D
j
a
t
i
B
a
ndu
ng
,
I
ndo
ne
s
i
a
1
,
2
F
a
c
ul
t
y
o
f
I
nf
o
r
m
a
t
i
o
n
a
n
d
C
o
m
m
uni
c
a
t
i
o
n
T
e
c
hno
l
o
gy
,
U
ni
v
e
r
s
i
t
i
T
e
kn
i
k
a
l
M
a
l
a
y
s
i
a
M
e
l
a
k
a
,
M
a
l
a
y
s
i
a
3
D
e
pa
r
t
m
e
n
t
o
f
C
o
m
put
e
r
S
c
i
e
nc
e
,
S
a
m
po
e
r
na
U
n
i
v
e
r
s
i
t
y
,
I
ndo
ne
s
i
a
A
r
ti
c
l
e
I
n
fo
A
B
S
TR
A
C
T
Ar
t
i
c
l
e
h
i
s
t
or
y
:
R
e
c
e
i
v
e
d
D
e
c
2
0,
2019
R
e
v
i
s
e
d
F
e
b
26,
202
0
A
c
c
e
pt
e
d
M
a
r
1
1
,
20
20
E
v
e
r
y
l
a
ng
ua
g
e
ha
s
un
i
qu
e
c
ha
r
a
c
t
e
r
i
s
t
i
c
s
,
s
t
r
uc
t
u
r
e
s
,
a
nd
g
r
a
m
m
a
r
.
T
hu
s
,
di
f
f
e
r
e
n
t
s
t
y
l
e
s
w
i
l
l
ha
v
e
d
i
f
f
e
r
e
n
t
pr
o
c
e
s
s
e
s
a
nd
r
e
s
u
l
t
i
n
p
r
o
c
e
s
s
e
d
i
n
N
a
t
u
r
a
l
L
a
ng
ua
g
e
P
r
o
c
e
s
s
i
ng
(
N
L
P
)
r
e
s
e
a
r
c
h
a
r
e
a
.
I
n
t
he
c
ur
r
e
n
t
N
L
P
r
e
s
e
a
r
c
h
a
r
e
a
,
D
a
t
a
M
i
n
i
ng
(
D
M
)
o
r
M
a
c
hi
n
e
L
e
a
r
n
i
ng
(
M
L
)
t
e
c
hni
q
ue
i
s
po
pul
a
r
,
e
s
pe
c
i
a
l
l
y
f
o
r
D
e
e
p
L
e
a
r
ni
ng
(
D
L
)
m
e
t
ho
d.
T
hi
s
r
e
s
e
a
r
c
h
a
i
m
s
t
o
c
l
a
s
s
i
f
y
t
e
xt
da
t
a
i
n
t
h
e
I
ndo
ne
s
i
a
n
l
a
ng
ua
g
e
us
i
ng
C
o
nv
o
l
ut
i
o
na
l
N
e
ur
a
l
N
e
t
w
o
r
k
(
C
N
N
)
a
s
o
ne
o
f
t
he
D
L
a
l
g
o
r
i
t
hm
s
.
T
h
e
C
N
N
a
l
g
o
r
i
t
hm
us
e
d
m
o
di
f
i
e
d
f
o
l
l
o
w
i
ng
t
he
I
ndo
ne
s
i
a
n
l
a
ng
ua
g
e
c
ha
r
a
c
t
e
r
i
s
t
i
c
s
.
T
h
e
r
e
by
,
i
n
t
he
t
e
x
t
p
r
e
-
pr
o
c
e
s
s
i
ng
pha
s
e
,
s
t
o
pw
o
r
d
r
e
m
o
v
a
l
a
nd
s
t
e
m
m
i
ng
a
r
e
p
a
r
t
i
c
ul
a
r
l
y
s
ui
t
a
b
l
e
f
o
r
t
h
e
I
ndo
ne
s
i
a
n
l
a
ng
ua
g
e
.
T
he
e
xp
e
r
i
m
e
n
t
c
o
nduc
t
e
d
us
i
ng
4
72
I
nd
o
ne
s
i
a
n
N
e
w
s
t
e
xt
d
a
t
a
f
r
o
m
v
a
r
i
o
us
s
o
ur
c
e
s
w
i
t
h
f
o
ur
c
a
t
e
g
o
r
i
e
s
:
„
hi
bur
a
n‟
(
e
n
t
e
r
t
a
i
nm
e
n
t
)
,
„
o
l
a
hr
a
g
a
‟
(
s
po
r
t
)
,
„
t
a
j
uk
u
t
a
m
a
‟
(
he
a
dl
i
ne
ne
w
s
)
,
a
nd
„
t
e
k
no
l
o
g
i
‟
(
t
e
c
hno
l
o
gy
)
.
B
a
s
e
d
o
n
t
he
e
x
pe
r
i
m
e
nt
a
nd
e
v
a
l
ua
t
i
o
n
us
i
ng
377
t
r
a
i
ni
ng
da
t
a
a
nd
95
t
e
s
t
i
ng
da
t
a
,
p
r
o
duc
i
ng
f
i
v
e
m
o
de
l
s
w
i
t
h
t
e
n
e
po
c
h
f
o
r
e
a
c
h
m
o
de
l
,
C
N
N
ha
s
t
he
be
s
t
pe
r
c
e
nt
a
g
e
o
f
a
c
c
ur
a
c
y
a
r
o
und
9
0,
74
%
a
nd
l
o
s
s
v
a
l
ue
a
r
o
und
29
,
05
%
f
o
r
300
hi
d
de
n
l
a
y
e
r
s
i
n
c
l
a
s
s
i
f
y
i
ng
t
he
I
ndo
ne
s
i
a
n
N
e
w
s
d
a
t
a
.
Ke
y
w
or
d
s
:
Co
n
v
o
l
ut
i
o
n
a
l
n
e
u
ra
l
n
e
t
w
o
r
k
D
e
e
p
l
e
a
rni
n
g
In
do
n
e
s
i
a
n
l
a
n
gu
a
ge
p
r
o
c
e
s
s
N
a
t
u
ra
l
l
a
n
gu
a
ge
p
r
o
c
e
s
s
i
n
g
T
e
xt
m
i
ni
n
g
C
opy
r
i
gh
t
©
2020
I
n
s
t
i
t
ut
e
o
f
A
dv
anc
e
d
E
ng
i
ne
e
r
i
ng
and
S
c
i
e
nc
e
.
A
l
l
r
i
gh
t
s
r
e
s
e
r
v
e
d
.
Cor
r
e
s
pon
di
n
g
Au
t
h
or
:
M
uha
m
m
a
d
A
l
i
R
a
m
d
ha
n
i
,
D
e
pa
rt
m
e
n
t
o
f
In
f
o
r
m
a
t
i
c
s
,
U
IN
S
un
a
n
G
u
n
u
ng
D
j
a
t
i
B
a
n
du
n
g
,
J
l
.
A
.
H
.
N
a
s
u
t
i
o
n
10
5,
B
a
n
du
n
g
,
40614
,
I
n
do
n
e
s
i
a
.
E
m
a
i
l
:
m
_
a
l
i
_
r
a
m
d
ha
n
i
@
u
i
n
s
gd
.
a
c
.
i
d
1.
I
N
TR
O
D
U
C
TI
O
N
T
h
e
r
e
a
r
e
a
l
m
o
s
t
7000
l
a
n
gu
a
ge
s
i
n
t
h
e
w
o
r
l
d
[1
,
2]
,
n
o
t
i
n
c
l
udi
ng
t
h
e
u
n
i
de
nt
i
f
i
e
d
l
o
c
a
l
l
a
ngua
ge
s
,
ha
v
i
ng
m
i
l
l
i
o
n
s
of
r
ul
e
s
i
n
s
t
r
uc
t
u
r
e
,
gra
m
m
a
r
,
e
v
e
n
i
n
t
h
e
fo
r
m
o
f
a
l
e
t
t
e
r
.
T
h
i
s
m
a
ke
s
a
n
e
xc
i
t
i
ng
f
a
c
t
t
o
pr
o
c
e
s
s
w
o
r
ds
a
n
d
f
i
nd
t
h
e
i
n
s
i
g
ht
i
n
f
o
r
m
a
t
i
o
n
o
r
k
n
o
w
l
e
dge
o
n
i
t
.
T
h
e
t
e
c
hn
i
q
ue
t
h
a
t
s
pe
c
i
f
i
c
a
l
l
y
pr
o
c
e
s
s
e
s
t
h
e
l
a
n
gu
a
ge
c
o
m
put
a
t
i
o
n
a
l
l
y
i
s
N
a
t
ura
l
L
a
n
g
ua
ge
P
r
o
c
e
s
s
i
n
g
(N
L
P
)
[3
-
5]
.
N
L
P
c
a
n
p
r
o
c
e
s
s
l
a
n
gu
a
ge
w
i
t
h
v
a
r
i
o
us
da
t
a
,
s
uc
h
a
s
s
pe
e
c
h
a
n
d
t
e
xt
.
U
s
ua
l
l
y
,
t
h
e
N
L
P
t
e
c
h
ni
que
c
o
m
b
i
n
e
d
w
i
t
h
D
a
t
a
M
i
ni
n
g
(D
M
)
o
r
M
a
c
hi
n
e
L
e
a
rn
i
ng
(M
L
)
t
e
c
hn
i
que
i
n
s
i
de
.
E
s
pe
c
i
a
l
l
y
f
o
r
da
t
a
t
e
xt
f
o
r
m
,
N
L
P
c
a
n
c
o
m
b
i
n
e
w
i
t
h
t
h
e
T
e
xt
M
i
n
i
n
g
(
T
M
)
t
e
c
hn
o
l
o
g
y
.
T
M
i
s
a
t
e
c
h
ni
que
t
o
di
s
c
ove
r
t
h
e
i
n
s
i
g
ht
k
n
o
w
l
e
dge
f
r
o
m
t
e
xt
da
t
a
,
w
hi
c
h
i
s
un
s
t
r
uc
t
u
r
e
d
da
t
a
[6
,
7]
.
In
t
h
e
c
u
rr
e
nt
T
M
a
n
d
N
L
P
r
e
s
e
a
r
c
h,
D
e
e
p
L
e
a
rni
n
g
(D
L
)
m
e
t
h
o
d
i
s
po
pul
a
r.
D
L
i
s
a
de
ve
l
o
pm
e
n
t
of
c
o
n
v
e
n
t
i
o
na
l
A
rt
i
f
i
c
i
a
l
N
e
ura
l
N
e
t
w
o
r
k
(A
N
N
)
w
i
t
h
a
d
di
ng
m
ul
t
i
p
l
e
h
i
dde
n
l
a
y
e
r
s
be
t
w
e
e
n
t
h
e
i
n
pu
t
l
a
y
e
r
a
n
d
o
ut
put
l
a
y
e
r
[8
-
10]
.
M
a
n
y
pr
e
v
i
o
us
N
L
P
r
e
s
e
a
r
c
h
u
s
e
s
D
L
m
e
t
h
o
d
[11
,
12]
,
a
m
o
n
g
o
t
h
e
r
s
:
t
e
xt
s
um
m
a
r
i
z
a
t
i
o
n
us
i
n
g
D
L
[13
-
15]
,
m
a
l
w
a
r
e
c
l
a
s
s
i
f
i
c
a
t
i
o
n
t
h
a
t
us
e
s
t
e
xt
da
t
a
us
i
n
g
D
L
[16]
,
r
e
a
d
i
n
g
t
e
xt
us
i
ng
D
L
[17]
,
a
n
d
m
a
n
y
o
t
h
e
r
s
.
M
a
n
y
D
L
a
l
go
ri
t
hm
s
de
v
e
l
o
pe
d
f
o
r
T
M
o
r
N
L
P
a
s
s
h
o
w
n
i
n
F
i
gu
r
e
1
,
s
uc
h
a
s
D
e
e
p
Re
i
n
f
o
r
c
e
M
o
de
l
[18]
,
D
e
e
p
U
n
s
upe
r
v
i
s
e
d
L
e
a
r
ni
n
g
[
13]
,
Co
n
v
o
l
ut
i
o
na
l
N
e
ura
l
N
e
t
w
o
r
k
(CN
N
)
[17]
,
R
e
c
urr
e
nt
N
e
ura
l
N
e
t
w
o
r
k
(R
N
N
)
a
n
d
L
o
n
g
S
h
o
r
t
-
T
e
rm
M
e
m
o
r
y
(L
S
T
M
)
[1
2
,
19
,
20]
,
a
n
d
o
t
h
e
r
m
e
t
h
o
ds
.
Evaluation Warning : The document was created with Spire.PDF for Python.
In
do
n
e
s
i
a
n
J
E
l
e
c
E
ng
&
Co
m
p
S
c
i
IS
S
N
:
2502
-
4752
Indone
s
i
an
ne
w
s
c
l
as
s
i
f
i
c
a
t
i
o
n
us
i
ng
c
on
v
ol
ut
i
onal
n
e
ur
al
ne
t
w
or
k
(
Muham
m
ad
A
l
i
R
am
dh
ani
)
1001
M
o
s
t
of
t
h
e
N
L
P
r
e
s
e
a
r
c
h
us
i
n
g
D
L
c
o
n
duc
t
e
d
i
n
E
ngl
i
s
h
.
I
t
ra
r
e
l
y
us
e
s
o
t
h
e
r
l
a
ngua
ge
s
s
uc
h
a
s
I
n
do
n
e
s
i
a
n.
S
i
n
c
e
t
h
e
I
n
do
n
e
s
i
a
n
l
a
ngua
ge
ha
s
i
t
s
c
ha
r
a
c
t
e
r
i
s
t
i
c
s
,
i
t
w
i
l
l
b
e
di
ff
e
r
e
n
t
i
n
d
a
t
a
c
o
l
l
e
c
t
i
on
,
p
r
e
-
p
r
o
c
e
s
s
i
n
g
,
a
n
d
t
h
e
r
e
s
ul
t
o
f
D
L
pe
r
f
o
r
m
a
n
c
e
i
n
p
r
o
c
e
s
s
i
n
g
t
h
e
Indo
ne
s
i
a
n
l
a
n
g
ua
ge
.
T
h
e
r
e
fo
r
e
,
t
h
i
s
r
e
s
e
a
r
c
h
ut
i
l
i
z
e
s
CN
N
a
l
go
ri
t
hm
a
s
o
n
e
o
f
D
L
m
e
t
h
o
ds
t
o
c
l
a
s
s
i
fy
t
h
e
I
n
d
o
n
e
s
i
a
n
N
e
w
s
a
n
d
t
o
e
v
a
l
ua
t
e
t
h
e
pe
r
f
o
r
m
a
n
c
e
of
t
h
e
a
c
c
ura
c
y
of
CN
N
o
n
t
h
e
c
l
a
s
s
i
f
i
c
a
t
i
o
n
r
e
s
ul
t
.
F
i
gu
r
e
1
.
C
u
rr
e
nt
D
L
a
l
go
r
i
t
hm
b
e
i
ng
po
pul
a
r
f
o
r
N
L
P
2.
R
ES
EA
R
C
H
M
ET
H
O
D
F
i
gu
r
e
2
de
s
c
r
i
b
e
s
t
h
e
f
l
ow
of
a
c
t
i
v
i
t
y
us
e
d
i
n
t
hi
s
r
e
s
e
a
r
c
h
a
s
a
m
e
t
h
o
do
l
o
g
y
.
G
e
n
e
r
a
l
l
y
,
t
h
e
f
i
r
s
t
pr
o
c
e
s
s
of
t
hi
s
r
e
s
e
a
r
c
h
i
s
d
a
t
a
c
o
l
l
e
c
t
i
on
,
w
h
e
r
e
t
e
xt
d
a
t
a
c
o
l
l
e
c
t
e
d
f
r
o
m
v
a
ri
o
us
o
n
l
i
n
e
n
e
w
s
w
e
b
s
i
t
e
s
.
T
h
e
n,
E
xp
l
o
r
a
t
o
r
y
D
a
t
a
A
na
l
y
s
i
s
(E
D
A
)
c
o
n
duc
t
e
d
t
o
k
n
o
w
t
h
e
i
n
f
o
r
m
a
t
i
o
n
o
f
da
t
a
a
n
d
t
o
m
a
ke
s
u
r
e
t
ha
t
t
h
e
qua
l
i
t
y
of
da
t
a
i
s
goo
d,
c
l
e
a
n,
a
n
d
r
e
a
dy
fo
r
t
h
e
n
e
xt
p
r
o
c
e
s
s
[21
,
22]
.
T
e
xt
-
p
r
e
p
r
o
c
e
s
s
i
n
g
i
s
a
c
r
i
t
i
c
a
l
pha
s
e
t
o
p
r
e
pa
r
e
t
e
xt
d
a
t
a
b
e
fo
r
e
t
h
e
m
i
ni
n
g
p
r
o
c
e
s
s
,
a
m
o
n
g
o
t
h
e
r
s
:
t
o
ke
ni
z
i
n
g
,
c
l
e
a
ni
n
g
d
a
t
a
,
s
t
o
pw
o
r
d
r
e
m
o
v
a
l
,
s
t
e
m
m
i
ng,
a
n
d
c
h
a
n
g
i
n
g
t
e
x
t
f
r
o
m
u
n
s
t
r
uc
t
u
r
e
d
da
t
a
i
n
t
o
s
t
r
uc
t
u
r
e
d
t
e
xt
r
e
p
r
e
s
e
nt
a
t
i
o
n
[2
3]
.
T
h
e
n,
a
f
t
e
r
t
e
xt
-
p
r
e
p
r
o
c
e
s
s
i
n
g,
t
h
e
CN
N
a
l
go
r
i
t
h
m
w
i
l
l
b
e
run
t
o
c
l
a
s
s
i
fy
t
h
e
t
e
xt
d
a
t
a
w
i
t
h
t
h
e
t
r
a
i
n
i
ng
a
n
d
t
e
s
t
i
n
g
p
r
o
c
e
s
s
a
s
a
c
l
a
s
s
i
f
i
c
a
t
i
o
n
m
e
t
h
o
d
i
n
d
a
t
a
m
i
ni
n
g
.
T
he
l
a
s
t
p
r
o
c
e
s
s
i
s
t
h
e
e
v
a
l
ua
t
i
o
n
o
f
t
h
e
t
ra
i
ni
n
g
a
nd
t
e
s
t
i
n
g
p
r
o
c
e
s
s
,
a
n
d
t
h
e
a
c
c
ur
a
c
y
a
n
d
l
o
s
s
v
a
l
ue
of
e
a
c
h
m
o
de
l
t
ha
t
i
s
p
r
o
duc
e
d.
T
h
i
s
r
e
s
e
a
r
c
h
us
e
d
P
h
y
t
h
o
n
a
s
p
r
o
g
r
a
m
m
i
n
g
l
a
n
gu
a
g
e
t
o
c
o
n
duc
t
t
h
e
c
l
a
s
s
i
f
i
c
t
i
o
n
us
i
n
g
CN
N
.
Evaluation Warning : The document was created with Spire.PDF for Python.
IS
S
N
:
2502
-
4752
In
do
n
e
s
i
a
n
J
E
l
e
c
E
ng
&
Co
m
p
S
c
i
,
V
o
l
.
19
,
N
o
.
2
,
A
ugus
t
20
20
:
10
00
-
1
00
9
1002
F
i
gu
r
e
2
.
R
e
s
e
a
r
c
h
a
c
t
i
v
i
t
i
e
s
f
l
o
w
2.
1
.
D
ata
c
o
l
l
e
c
t
i
on
an
d
l
ab
e
l
i
n
g
Co
l
l
e
c
t
i
n
g
da
t
a
i
s
c
o
n
duc
t
e
d
m
a
n
u
a
l
l
y
f
r
o
m
s
e
ve
r
a
l
o
n
l
i
n
e
n
e
w
s
w
e
bs
i
t
e
s
i
n
t
h
e
I
n
do
n
e
s
i
a
n
L
a
n
g
ua
ge
.
T
h
e
c
l
a
s
s
i
f
i
c
a
t
i
o
n
p
r
o
c
e
s
s
r
e
qui
r
e
s
l
a
b
e
l
i
ng
fo
r
e
a
c
h
da
t
a
s
o
t
h
a
t
t
h
e
In
do
n
e
s
i
a
n
N
e
w
s
da
t
a
w
i
l
l
be
l
a
b
e
l
e
d
b
a
s
e
d
o
n
t
h
e
t
y
pe
of
N
e
w
s
c
o
n
t
e
n
t
.
T
h
o
s
e
da
t
a
s
e
t
s
s
a
v
e
d
i
n
pl
a
i
n
t
e
xt
f
o
r
m
a
t
.
2.
2
.
Ex
p
l
o
r
ato
r
y
d
ata
an
al
ys
i
s
(ED
A
)
ED
A
i
s
a
pr
o
c
e
dur
e
t
o
a
na
l
y
z
e
da
t
a
s
o
t
h
a
t
t
h
e
da
t
a
c
a
n
be
a
n
a
l
y
z
e
d
e
a
s
i
e
r
,
m
o
r
e
a
c
c
ur
a
t
e
,
m
o
r
e
pr
e
c
i
s
e
w
i
t
h
t
h
e
m
a
t
h
e
m
a
t
i
c
a
l
m
e
t
h
o
d
(s
t
a
t
i
s
t
i
c
s
)
p
r
o
c
e
s
s
e
d
a
ut
o
m
a
t
i
c
a
l
l
y
by
m
a
c
hi
n
e
[24
,
25]
.
E
D
A
p
r
o
v
i
de
s
a
s
um
m
a
r
y
o
f
n
um
e
ri
c
a
l
d
a
t
a
s
uc
h
a
s
m
e
a
n
,
m
e
di
a
n,
m
a
x
i
m
um
v
a
l
ue
,
m
i
n
i
m
u
m
v
a
l
ue
,
a
n
d
t
h
e
qu
a
r
t
i
l
e
s
.
I
n
da
t
a
a
na
l
y
t
i
c
s
,
i
n
t
h
e
c
a
s
e
o
f
t
h
e
D
M
p
ro
c
e
s
s
,
E
D
A
i
s
us
u
a
l
l
y
us
e
d
i
n
t
h
e
p
r
e
-
pr
o
c
e
s
s
i
n
g
pr
o
c
e
s
s
t
o
v
i
s
ua
l
i
z
e
,
t
o
f
i
n
d
t
h
e
m
i
s
s
i
n
g
s
i
de
,
a
n
d
a
l
s
o
t
o
l
oo
k
fo
r
a
c
o
r
r
e
l
a
t
i
o
n
b
e
t
w
e
e
n
da
t
a
o
r
v
a
r
i
a
b
l
e
s
.
T
h
e
p
re
-
pr
o
c
e
s
s
i
n
g
p
ha
s
e
i
s
e
s
s
e
n
t
i
a
l
f
o
r
da
t
a
i
nt
e
g
r
a
t
i
o
n
,
da
t
a
s
e
l
e
c
t
i
o
n
,
d
a
t
a
c
l
e
a
n
i
ng
t
o
i
m
p
r
o
v
e
qua
l
i
t
y
,
da
t
a
t
r
a
n
s
f
o
r
m
a
t
i
o
n,
a
n
d
da
t
a
r
e
duc
t
i
o
n
t
o
r
u
n
a
n
e
f
f
i
c
i
e
n
t
m
i
ni
n
g
p
r
o
c
e
s
s
.
2.
3
.
I
n
d
o
n
e
s
i
an
te
x
t
p
r
e
p
r
o
c
e
s
s
i
n
g
T
e
xt
p
r
e
-
p
r
o
c
e
s
s
i
n
g
i
s
a
n
i
m
po
r
t
a
nt
p
h
a
s
e
t
o
p
r
e
pa
r
e
t
e
xt
da
t
a
w
e
l
l
b
e
fo
r
e
t
h
e
m
i
n
i
n
g
p
r
o
c
e
s
s
.
B
e
s
i
de
s
c
l
e
a
n
i
n
g
t
h
e
t
e
xt
da
t
a
,
t
e
xt
p
r
e
-
p
r
o
c
e
s
s
i
n
g
c
a
n
r
e
duc
e
t
h
e
di
m
e
n
s
i
o
n
o
f
da
t
a
,
e
i
t
h
e
r
t
hr
o
ug
h
dupl
i
c
a
t
i
o
n
,
m
i
s
s
i
n
g
v
a
l
ue
,
o
r
de
c
r
e
a
s
i
ng
t
h
e
n
um
b
e
r
o
f
fe
a
t
u
r
e
s
[26]
.
T
h
e
n,
i
n
t
h
e
t
e
xt
p
r
e
-
p
r
o
c
e
s
s
i
n
g,
t
h
e
da
t
a
t
e
xt
,
w
h
i
c
h
i
s
a
n
u
n
s
t
ruc
t
u
r
e
d
da
t
a
t
y
p
e
,
w
i
l
l
b
e
c
h
a
n
ge
d
i
nt
o
s
t
ruc
t
u
r
e
d
t
e
s
t
r
e
p
r
e
s
e
n
t
a
t
i
o
n
.
M
a
n
y
s
t
r
uc
t
ur
e
d
t
e
xt
r
e
p
r
e
s
e
n
t
a
t
i
o
n
s
i
n
c
l
ude
B
a
g
o
f
W
o
r
ds
(Bo
W
)
[27
-
31]
,
b
i
na
r
y
r
e
p
re
s
e
n
t
a
t
i
o
n
[2
7]
,
n
-
gra
m
[27
,
31]
,
m
ul
t
i
p
l
e
o
f
w
o
r
ds
(M
o
W
)
o
r
m
u
l
t
i
-
w
o
r
ds
t
e
rm
[27
,
3
2]
,
c
ha
r
a
c
t
e
r
a
nd
w
o
r
d
e
m
b
e
ddi
n
g
[12,
33
,
34]
,
s
e
m
a
nt
i
c
t
e
x
t
r
e
pr
e
s
e
nt
a
t
i
o
n
[35
-
3
7]
,
t
e
xt
r
e
p
re
s
e
n
t
a
t
i
o
n
f
o
r
de
e
p
l
e
a
rni
n
g
[12]
,
s
y
m
b
o
l
i
c
a
n
d
n
o
n
-
s
y
m
b
o
l
i
c
t
e
xt
r
e
p
r
e
s
e
n
t
a
t
i
o
n
[38]
,
g
ra
p
h
-
b
a
s
e
d
t
e
xt
r
e
p
r
e
s
e
nt
a
t
i
o
n
[28]
,
a
c
t
i
v
e
de
s
c
r
i
pt
i
v
e
t
e
xt
r
e
p
r
e
s
e
n
t
a
t
i
o
n
[34]
a
nd
do
c
um
e
n
t
s
pe
c
i
f
i
c
r
e
p
r
e
s
e
n
t
a
t
i
o
n
[3
9
]
.
2.
4
.
C
o
n
vo
l
u
ti
o
n
al
n
e
u
r
al
n
e
tw
o
r
k
(C
N
N
)
CN
N
i
s
o
n
e
o
f
t
h
e
v
a
r
i
a
n
t
s
of
D
L
a
l
go
r
i
t
hm
s
t
h
a
t
c
a
n
t
a
ke
i
n
a
n
i
nput
da
t
a
,
a
s
s
i
g
n
i
m
po
r
t
a
n
c
e
(l
e
a
rn
a
b
l
e
w
e
i
gh
t
s
a
n
d
b
i
a
s
e
s
)
t
o
v
a
ri
o
us
ob
j
e
c
t
s
i
n
t
h
e
da
t
a
,
a
n
d
di
f
f
e
r
e
n
t
i
a
t
e
o
n
e
f
r
o
m
t
h
e
o
t
h
e
r
[1
6
,
40]
.
S
a
m
e
a
s
A
N
N
a
r
c
h
i
t
e
c
t
u
r
e
,
CN
N
c
o
n
s
i
s
t
s
of
n
e
ur
o
n
s
t
h
a
t
h
a
v
e
w
e
i
gh
t
,
b
i
a
s
,
a
nd
a
c
t
i
v
a
t
i
o
n
f
un
c
t
i
o
n
s
[41
,
42]
.
H
ow
e
ve
r
,
CN
N
di
v
i
de
s
t
h
e
a
r
c
h
i
t
e
c
t
u
r
e
s
i
n
t
o
F
e
a
t
u
r
e
E
x
t
r
a
c
t
i
o
n
L
a
y
e
r
a
nd
F
ul
l
y
Co
n
n
e
c
t
e
d
L
a
y
e
r
.
F
e
a
t
u
r
e
E
xt
ra
c
t
i
o
n
L
a
y
e
r
i
s
a
p
r
o
c
e
s
s
fo
r
e
n
c
o
di
n
g
t
h
e
da
t
a
t
o
b
e
fe
a
t
u
r
e
d
i
n
t
h
e
f
o
r
m
o
f
n
um
b
e
r
s
r
e
p
r
e
s
e
n
t
i
n
g
t
h
e
da
t
a
t
ha
t
c
o
n
s
i
s
t
o
f
t
h
e
Co
n
vo
l
ut
i
o
na
l
L
a
y
e
r
a
n
d
P
o
o
l
i
n
g
L
a
y
e
r
.
W
h
i
l
e
,
F
ul
l
y
C
o
nn
e
c
t
e
d
L
a
y
e
r
h
a
s
s
e
v
e
r
a
l
hi
dde
n
l
a
y
e
r
s
,
a
c
t
i
v
a
t
i
o
n
f
u
n
c
t
i
o
n
s
,
o
ut
put
l
a
y
e
r
s
,
a
n
d
l
o
s
s
f
un
c
t
i
o
n
s
.
F
e
a
t
u
r
e
m
a
ps
ge
n
e
ra
t
e
d
f
r
o
m
t
h
e
e
xt
r
a
c
t
i
o
n
l
a
y
e
r
a
r
e
s
t
i
l
l
i
n
t
h
e
f
o
r
m
o
f
a
m
ul
t
i
d
i
m
e
n
s
i
o
n
a
l
a
rra
y
,
s
o
w
e
h
a
v
e
t
o
"
f
l
a
t
t
e
n
"
o
r
r
e
s
ha
pe
t
h
e
f
e
a
t
u
r
e
m
a
p
t
o
b
e
a
v
e
c
t
o
r
s
o
w
e
c
a
n
us
e
i
t
a
s
i
n
p
ut
f
r
o
m
F
u
l
l
y
Co
n
n
e
c
t
e
d
L
a
y
e
r
.
I
n
m
a
n
y
r
e
s
e
a
r
c
h,
CN
N
us
e
d
f
o
r
i
m
a
ge
d
a
t
a
.
3.
R
ES
U
LTS
A
N
D
A
N
A
L
Y
S
I
S
3.
1
.
I
n
d
o
n
e
s
i
an
n
e
w
s
d
atas
e
ts
In
do
n
e
s
i
a
n
N
e
w
s
da
t
a
s
e
t
s
c
o
l
l
e
c
t
e
d
f
r
o
m
v
a
r
i
o
us
s
o
ur
c
e
s
s
uc
h
a
s
CN
N
Indo
n
e
s
i
a
,
M
e
r
de
ka
.
c
o
m
,
A
n
e
ka
N
e
w
s
,
D
i
a
l
y
S
oc
i
a
l
.
c
o
m
,
a
n
d
m
a
n
y
o
t
h
e
r
s
.
T
h
e
N
e
w
s
da
t
a
s
e
t
s
l
a
b
e
l
e
d
i
nt
o
fo
ur
c
a
t
e
go
ri
e
s
:
„
h
i
b
u
r
a
n
‟
(e
n
t
e
r
t
a
i
nm
e
n
t
)
,
„o
l
a
hr
a
ga
‟
(s
po
rt
),
„
t
a
j
uk
ut
a
m
a
‟
(
h
e
a
dl
i
n
e
ne
w
s
),
a
n
d
„
t
e
kn
o
l
o
gi
‟
(t
e
c
hn
o
l
o
gy
).
A
l
l
o
f
t
h
o
s
e
da
t
a
s
a
v
e
d
i
n
p
l
a
i
n
t
e
xt
f
i
l
e
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
In
do
n
e
s
i
a
n
J
E
l
e
c
E
ng
&
Co
m
p
S
c
i
IS
S
N
:
2502
-
4752
Indone
s
i
an
ne
w
s
c
l
as
s
i
f
i
c
a
t
i
o
n
us
i
ng
c
on
v
ol
ut
i
onal
n
e
ur
al
ne
t
w
or
k
(
Muham
m
ad
A
l
i
R
am
dh
ani
)
1003
3.
2
.
R
e
s
u
l
t
o
f
ED
A
o
f
I
n
d
o
n
e
s
i
an
n
e
w
s
d
atas
e
t
F
i
gu
r
e
3
s
h
o
w
s
t
h
e
r
e
s
ul
t
o
f
E
D
A
pr
o
c
e
s
s
of
In
do
n
e
s
i
a
n
N
e
w
s
da
t
a
c
o
l
l
e
c
t
i
o
n
.
B
a
s
e
d
o
n
t
h
e
E
D
A
pr
o
c
e
s
s
,
f
r
o
m
472
n
e
w
s
da
t
a
,
t
h
e
m
a
xi
m
um
l
e
n
gt
h
o
f
da
t
a
i
s
1929
,
a
n
d
i
t
c
a
n
b
e
a
n
o
ut
l
i
e
r
d
a
t
a
.
T
h
e
ra
n
ge
i
s
t
o
o
f
a
r
f
r
o
m
t
h
e
m
e
a
n
v
a
l
ue
of
l
e
n
gt
h
da
t
a
,
w
h
i
c
h
i
s
264.
F
r
o
m
a
l
l
o
f
t
h
e
N
e
w
s
da
t
a
c
o
l
l
e
c
t
i
o
n
,
t
h
e
r
e
a
r
e
12573
v
o
c
a
b
ul
a
ri
e
s
f
o
un
d.
F
i
gu
r
e
3
.
E
D
A
r
e
s
ul
t
o
f
i
n
do
n
e
s
i
a
n
n
e
w
s
da
t
a
c
o
l
l
e
c
t
i
o
n
3.
3
.
R
e
s
u
l
t
o
f
te
x
t
p
r
e
-
p
r
o
c
e
s
s
i
n
g
T
h
e
p
r
e
-
p
r
o
c
e
s
s
i
n
g
t
e
xt
d
a
t
a
b
e
gi
n
s
w
i
t
h
p
r
e
pa
ri
n
g
d
a
t
a
c
o
l
l
e
c
t
i
o
n
f
r
o
m
t
h
e
r
e
a
l
da
t
a
i
nt
o
c
l
e
a
n
d
a
t
a
t
e
xt
a
f
t
e
r
d
a
t
a
c
l
e
a
n
i
ng,
s
t
o
pw
o
r
ds
r
e
m
o
v
al
,
a
nd
s
t
e
m
m
i
ng
pr
o
c
e
s
s
.
F
o
r
s
t
o
p
w
o
r
ds
,
i
t
us
e
d
t
h
e
m
o
di
f
i
e
d
c
o
l
l
e
c
t
i
o
n
of
In
do
n
e
s
i
a
n
s
t
o
pw
o
r
ds
a
n
d
P
o
r
t
e
r
S
t
e
m
m
i
n
g
s
o
t
h
a
t
t
h
e
s
t
r
uc
t
u
r
e
a
n
d
g
ra
m
m
a
r
a
r
e
s
ui
t
a
b
l
e
w
i
t
h
t
h
e
In
do
n
e
s
i
a
n
l
a
ngu
a
ge
[26
,
43]
.
T
a
b
l
e
1
s
h
o
w
s
t
h
e
e
xa
m
pl
e
o
f
t
h
e
o
r
i
gi
na
l
I
n
do
n
e
s
i
a
n
N
e
w
s
da
t
a
t
ha
t
b
e
c
o
m
e
s
t
h
e
da
t
a
a
f
t
e
r
t
e
xt
p
r
e
-
p
r
o
c
e
s
s
i
n
g.
F
o
l
l
o
w
i
n
g
C
N
N
a
s
a
D
M
m
e
t
h
o
d
t
h
a
t
n
e
e
ds
e
m
be
ddi
ng
r
e
p
r
e
s
e
n
t
a
t
i
o
n,
t
h
i
s
r
e
s
e
a
r
c
h
us
e
s
G
l
o
V
e
a
s
e
m
be
ddi
n
g
re
pr
e
s
e
n
t
a
t
i
o
n
[44
-
4
6]
.
F
i
g
u
r
e
4
F
i
gur
e
4
.
T
h
e
e
xa
m
pl
e
r
e
s
ul
t
o
f
G
l
o
V
e
e
m
be
ddi
ng,
t
r
a
i
n
i
ng,
a
nd
t
e
s
t
i
ng
pr
o
c
e
s
s
s
h
ow
s
t
h
e
s
l
i
c
e
o
f
t
h
e
G
l
o
V
e
e
m
be
ddi
n
g
r
e
s
ul
t
a
s
w
e
l
l
a
s
t
h
e
t
r
a
i
n
i
ng
a
n
d
t
e
s
t
i
ng
p
r
o
c
e
s
s
of
CN
N
.
T
a
b
l
e
1
.
T
h
e
e
xa
m
pl
e
o
f
o
r
i
g
i
n
a
l
d
a
t
a
a
n
d
t
e
xt
p
r
e
-
p
r
o
c
e
s
s
i
ng
da
t
a
O
ri
g
i
n
a
l
I
n
d
o
n
e
s
i
a
n
N
e
w
s
T
e
x
t
D
a
t
a
:
J
a
k
a
rt
a
,
CN
N
In
d
o
n
e
s
i
a
-
P
T
H
o
n
d
a
P
r
o
s
p
e
c
t
M
o
t
o
r
(
H
P
M
)
b
e
n
a
r
-
b
e
n
a
r
m
e
n
g
h
e
n
t
i
k
a
n
p
ro
d
u
k
s
i
m
o
b
i
l
m
u
l
t
i
p
u
rp
o
s
e
v
e
h
i
c
l
e
(
M
P
V
)
F
r
e
e
d
.
F
re
e
d
b
e
r
h
e
n
t
i
p
r
o
d
u
k
s
i
p
a
d
a
J
u
l
i
2
0
1
6
s
i
l
a
m
,
d
a
n
p
i
h
a
k
H
o
n
d
a
t
a
h
u
n
i
n
i
h
a
n
y
a
a
k
a
n
m
e
n
j
u
a
l
s
i
s
a
p
ro
s
u
k
s
i
n
y
a
.
"
F
re
e
d
s
e
k
a
ra
n
g
s
u
d
a
h
t
i
d
a
k
k
o
n
t
i
n
u
,
b
u
l
a
n
J
u
l
i
t
e
ra
k
h
i
r
d
i
p
r
o
d
u
k
s
i
,
"
u
j
a
r
D
i
r
e
k
t
u
r
P
e
m
a
s
a
ra
n
d
a
n
L
a
y
a
n
a
n
P
u
r
n
a
J
u
a
l
P
T
H
P
M
J
o
n
fi
s
F
a
n
d
y
,
b
e
l
u
m
l
a
m
a
i
n
i
.
H
P
M
m
a
s
i
h
m
e
n
j
u
a
l
F
re
e
d
,
n
a
m
u
n
d
e
n
g
a
n
a
n
g
k
a
y
a
n
g
s
a
n
g
a
t
t
e
r
b
a
t
a
s
y
a
n
g
a
d
a
d
i
d
e
a
l
e
r
r
e
s
m
i
H
o
n
d
a
,
k
a
re
n
a
s
t
o
k
d
a
ri
p
a
b
ri
k
s
u
d
a
h
b
e
n
a
r
-
b
e
n
a
r
k
o
s
o
n
g
.
D
e
n
g
a
n
s
e
l
e
s
a
i
n
y
a
p
ro
d
u
k
s
i
F
r
e
e
d
,
m
e
m
b
u
a
t
T
o
y
o
t
a
m
e
m
i
l
i
k
i
p
a
s
a
r
y
a
n
g
l
e
b
i
h
l
a
p
a
n
g
u
n
t
u
k
k
e
l
a
s
M
P
V
,
d
a
n
m
e
n
j
a
d
i
y
a
n
g
p
e
r
t
a
m
a
d
i
k
e
l
a
s
m
u
l
t
i
a
c
t
i
v
i
t
y
v
e
h
i
c
l
e
(
M
A
V
).
J
o
n
f
i
s
m
e
n
e
g
a
s
k
a
n
,
H
o
n
d
a
In
d
o
n
e
s
i
a
t
i
d
a
k
b
e
rn
i
a
t
m
e
m
b
u
k
a
k
e
m
b
a
l
i
s
e
g
m
e
n
F
r
e
e
d
k
a
re
n
a
k
o
n
s
u
m
e
n
n
y
a
s
u
d
a
h
m
u
l
a
i
b
e
rk
u
ra
n
g
.
"
S
e
g
m
e
n
i
t
u
s
u
d
a
h
b
a
n
y
a
k
h
i
l
a
n
g
,
d
i
a
m
b
i
l
o
l
e
h
H
R
-
V
,
"
u
j
a
rn
y
a
.
A
d
a
n
y
a
k
e
h
a
d
i
ra
n
F
r
e
e
d
t
e
rb
a
ru
d
i
J
e
p
a
n
g
t
i
d
a
k
m
e
m
b
u
a
t
m
o
b
i
l
i
n
i
a
k
a
n
m
e
m
p
e
rp
a
n
j
a
n
g
u
s
i
a
n
y
a
d
i
In
d
o
n
e
s
i
a
.
"
S
a
m
p
a
i
s
e
k
a
ra
n
g
g
a
k
a
d
a
re
n
c
a
n
a
.
F
r
e
e
d
i
t
u
1
.
0
0
0
u
n
i
t
p
e
r
b
u
l
a
n
m
a
k
s
i
m
a
l
.
S
e
m
e
n
t
a
ra
S
U
V
s
e
p
e
rt
i
H
R
-
V
b
i
s
a
1
0
ri
b
u
p
e
r
b
u
l
a
n
.
R
e
k
o
r
t
e
rt
i
n
g
g
i
F
re
e
d
p
a
s
b
a
ru
d
i
l
u
n
c
u
rk
a
n
3
.
0
0
0
u
n
i
t
a
b
i
s
i
t
u
t
u
ru
n
,
p
a
l
i
n
g
r
e
n
d
a
h
5
0
0
u
n
i
t
,
"
u
j
a
rn
y
a
.
D
a
ri
p
e
n
g
a
l
a
m
a
n
,
H
o
n
d
a
m
e
n
i
l
a
i
k
o
n
s
u
m
e
n
I
n
d
o
n
e
s
i
a
t
i
d
a
k
s
u
k
a
d
e
n
g
a
n
m
o
b
i
l
y
a
n
g
m
e
m
i
l
i
k
i
d
e
s
a
i
n
t
e
rl
a
l
u
p
e
r
s
e
g
i
d
a
n
k
o
t
a
k
.
"
K
o
n
s
u
m
e
n
F
r
e
e
d
a
d
a
t
a
p
i
t
i
d
a
k
b
a
n
y
a
k
.
k
a
l
a
u
k
i
t
a
k
e
n
a
l
k
a
n
,
t
e
ru
s
b
a
n
t
i
n
g
h
a
rg
a
,
b
e
k
a
s
n
y
a
o
ra
n
g
g
a
k
s
e
n
a
n
g
.
P
a
d
a
d
a
s
a
r
n
y
a
o
ra
n
g
I
n
d
o
n
e
s
i
a
s
u
k
a
m
o
b
i
l
y
a
n
g
d
e
s
a
i
n
n
y
a
s
t
y
l
i
s
h
,
l
i
h
a
t
s
a
j
a
p
e
r
s
e
g
m
e
n
,
y
a
n
g
(
d
e
s
a
i
n
)
k
o
t
a
k
i
t
u
n
a
s
i
b
n
y
a
j
a
d
i
p
e
n
g
i
k
u
t
,
"
u
j
a
r
J
o
n
s
fi
s
.
(
p
i
t
/
p
i
t
)
In
d
o
n
e
s
i
a
n
N
e
w
s
T
e
x
t
D
a
t
a
a
ft
e
r
T
e
x
t
P
r
e
-
P
r
o
c
e
s
s
i
n
g
:
j
a
k
a
rt
a
c
n
n
p
t
h
o
n
d
a
p
ro
s
p
e
c
t
h
p
m
h
e
n
t
i
m
u
l
t
p
u
r
p
o
s
e
v
e
h
i
c
l
e
m
p
v
f
r
e
e
d
f
r
e
e
d
h
e
n
t
h
o
n
d
a
j
u
a
l
p
ro
s
u
k
s
f
re
e
d
a
k
h
i
r
p
r
o
d
u
k
s
p
a
s
a
r
l
a
y
a
n
p
u
r
n
a
p
t
h
p
m
j
o
n
f
i
s
f
a
n
d
y
h
p
m
j
u
a
l
f
r
e
e
d
b
a
t
a
s
d
e
a
l
e
r
h
o
n
d
a
l
e
s
a
f
r
e
e
d
b
u
a
t
t
o
y
o
t
a
p
i
l
i
k
m
p
v
j
a
d
m
u
l
t
a
c
t
i
v
i
t
y
v
e
h
i
c
l
e
m
a
v
j
o
n
f
i
s
t
e
g
a
s
h
o
n
d
a
n
i
a
t
b
u
k
a
f
re
e
d
k
o
n
s
u
m
e
n
k
u
ra
n
g
a
m
b
i
l
h
r
u
j
a
r
h
a
d
i
r
f
r
e
e
d
b
a
ru
j
e
p
a
n
g
b
u
a
t
p
a
n
j
a
n
g
u
s
i
a
fre
e
d
s
u
v
h
r
t
i
n
g
g
f
re
e
d
l
u
n
c
u
r
u
j
a
r
k
a
l
a
m
h
o
n
d
a
t
i
l
a
p
i
l
i
k
s
e
g
f
r
e
e
d
n
a
l
k
a
s
d
a
s
a
r
d
e
s
a
s
t
y
l
i
s
h
n
a
s
i
b
i
k
u
t
j
o
n
s
f
i
s
i
n
d
o
n
e
s
i
a
m
o
t
o
r
b
e
n
a
r
b
e
n
a
r
p
ro
d
u
k
s
i
m
o
b
i
l
p
ro
d
u
k
s
i
j
u
l
i
s
i
l
a
m
p
i
h
a
k
t
a
h
u
n
s
i
s
a
k
o
n
t
i
n
u
b
u
l
a
n
j
u
l
i
u
j
a
r
d
i
r
e
k
t
u
r
j
u
a
l
a
n
g
k
a
re
s
m
i
s
t
o
k
p
a
b
ri
k
b
e
n
a
r
b
e
n
a
r
k
o
s
o
n
g
p
r
o
d
u
k
s
i
p
a
s
a
r
l
a
p
a
n
g
k
e
l
a
s
p
e
rt
a
m
a
k
e
l
a
s
i
n
d
o
n
e
s
i
a
k
e
m
b
a
l
i
s
e
g
m
e
n
m
u
l
a
i
s
e
g
m
e
n
h
i
l
a
n
g
m
o
b
i
l
i
n
d
o
n
e
s
i
a
re
n
c
a
n
a
u
n
i
t
b
u
l
a
n
m
a
k
s
i
m
a
l
ri
b
u
b
u
l
a
n
re
k
o
r
p
a
s
b
a
ru
u
n
i
t
a
b
i
s
t
u
ru
n
re
n
d
a
h
u
n
i
t
k
o
n
s
u
m
e
n
i
n
d
o
n
e
s
i
a
s
u
k
a
m
o
b
i
l
d
e
s
a
i
n
k
o
t
a
k
k
o
n
s
u
m
e
n
t
e
ru
s
b
a
n
t
i
n
g
h
a
r
g
a
o
ra
n
g
s
e
n
a
ng
o
ra
n
g
i
n
d
o
n
e
s
i
a
s
u
k
a
m
o
b
i
l
l
i
h
a
t
s
e
g
m
e
n
d
e
s
a
i
n
k
o
t
a
k
j
a
d
i
u
j
a
r
p
i
t
p
i
t
Evaluation Warning : The document was created with Spire.PDF for Python.
IS
S
N
:
2502
-
4752
In
do
n
e
s
i
a
n
J
E
l
e
c
E
ng
&
Co
m
p
S
c
i
,
V
o
l
.
19
,
N
o
.
2
,
A
ugus
t
20
20
:
10
00
-
1
00
9
1004
F
i
gu
r
e
4
.
T
h
e
e
xa
m
pl
e
r
e
s
ul
t
o
f
G
l
o
V
e
e
m
b
e
ddi
n
g,
t
ra
i
ni
n
g
,
a
n
d
t
e
s
t
i
n
g
p
r
o
c
e
s
s
3.
4
.
Tr
ai
n
i
n
g
an
d
t
e
s
ti
n
g
r
e
s
u
l
t
o
f
C
N
N
T
r
a
i
n
i
ng
a
nd
t
e
s
t
i
ng
p
r
o
c
e
s
s
of
CN
N
a
l
go
r
i
t
h
m
s
t
o
c
l
a
s
s
i
f
y
In
do
n
e
s
i
a
n
N
e
w
s
a
r
e
c
o
n
duc
t
e
d
w
i
t
h
s
e
v
e
r
a
l
s
c
e
n
a
ri
o
s
,
a
s
f
o
l
l
ow
s
:
1.
T
h
e
e
xpe
r
i
m
e
n
t
us
e
s
P
h
y
t
o
n
p
r
o
g
r
a
m
m
i
n
g
l
a
ngua
ge
w
i
t
h
T
e
n
s
o
r
F
l
o
w
a
n
d
K
e
r
a
s
pa
c
ka
ge
us
e
d
f
o
r
N
L
P
a
n
d
D
L
.
2.
F
r
o
m
4
72
N
e
w
s
t
e
xt
d
a
t
a
i
n
t
o
t
a
l
,
377
us
e
d
f
o
r
t
h
e
t
ra
i
ni
n
g
p
r
o
c
e
s
s
,
a
n
d
95
us
e
d
f
o
r
t
h
e
t
e
s
t
i
n
g
p
r
o
c
e
s
s
.
3.
CN
N
a
l
go
r
i
t
hm
p
r
o
duc
e
s
f
i
v
e
m
o
de
l
s
w
i
t
h
e
a
c
h
m
o
de
l
h
a
v
i
ng
t
e
n
e
po
c
h
s
.
4.
T
h
e
t
o
t
a
l
hi
dde
n
l
a
y
e
r
s
f
o
r
t
h
e
e
xpe
r
i
m
e
n
t
a
r
e
1
00,
200
,
a
nd
300.
5.
T
h
e
a
c
t
i
v
a
t
i
o
n
f
u
n
c
t
i
o
n
us
e
d
i
n
t
h
i
s
e
xpe
ri
m
e
n
t
i
s
S
i
g
m
o
i
d.
6.
E
m
b
e
ddi
n
g
r
e
pr
e
s
e
nt
a
t
i
o
n
f
o
r
t
e
xt
d
a
t
a
us
e
d
i
n
t
hi
s
e
xpe
r
i
m
e
nt
i
s
G
l
o
V
e
.
F
i
gu
r
e
5
-
10
a
nd
T
a
b
l
e
2
p
r
o
v
i
de
gr
a
p
h
i
c
s
o
f
e
v
a
l
ua
t
i
o
n
,
t
r
a
i
n
i
ng,
a
nd
v
a
l
i
da
t
i
o
n
p
r
o
c
e
s
s
.
T
h
e
n,
T
a
b
l
e
3
a
n
d
F
i
gu
r
e
11
s
h
o
w
t
h
e
e
v
a
l
ua
t
i
o
n
r
e
s
ul
t
f
o
r
t
h
e
t
e
s
t
i
n
g
p
r
o
c
e
s
s
.
T
h
e
a
n
a
l
y
s
i
s
of
t
h
e
e
xpe
r
i
m
e
nt
e
xpl
a
i
n
e
d
i
n
s
e
c
t
i
o
n
3.
5
i
n
m
o
r
e
de
t
a
i
l
.
F
i
gu
r
e
5
.
G
ra
p
h
i
c
s
r
e
s
ul
t
o
f
t
r
a
i
n
i
ng
p
r
o
c
e
s
s
w
i
t
h
100
h
i
dde
n
l
a
y
e
r
s
F
i
gu
r
e
6
.
G
ra
p
h
i
c
s
r
e
s
ul
t
o
f
v
a
l
i
da
t
i
o
n
o
f
t
r
a
i
n
i
ng
p
r
o
c
e
s
s
w
i
t
h
100
h
i
dde
n
l
a
y
e
r
s
Evaluation Warning : The document was created with Spire.PDF for Python.
In
do
n
e
s
i
a
n
J
E
l
e
c
E
ng
&
Co
m
p
S
c
i
IS
S
N
:
2502
-
4752
Indone
s
i
an
ne
w
s
c
l
as
s
i
f
i
c
a
t
i
o
n
us
i
ng
c
on
v
ol
ut
i
onal
n
e
ur
al
ne
t
w
or
k
(
Muham
m
ad
A
l
i
R
am
dh
ani
)
1005
F
i
gu
r
e
7
.
G
ra
p
h
i
c
s
r
e
s
ul
t
o
f
t
h
e
t
ra
i
ni
n
g
p
r
o
c
e
s
s
w
i
t
h
20
0
hi
d
de
n
l
a
y
e
r
s
F
i
gu
r
e
8
.
G
ra
p
h
i
c
s
r
e
s
ul
t
o
f
v
a
l
i
da
t
i
o
n
o
f
t
r
a
i
n
i
ng
p
r
o
c
e
s
s
w
i
t
h
200
h
i
dde
n
l
a
y
e
r
s
F
i
gu
r
e
9
.
G
ra
p
h
i
c
s
r
e
s
ul
t
o
f
t
r
a
i
n
i
ng
p
r
o
c
e
s
s
w
i
t
h
300
h
i
dde
n
l
a
y
e
r
s
F
i
gu
r
e
10
.
G
ra
p
hi
c
s
r
e
s
ul
t
o
f
v
a
l
i
da
t
i
o
n
o
f
t
r
a
i
n
i
ng
p
r
o
c
e
s
s
w
i
t
h
300
h
i
d
de
n
l
a
y
e
r
s
Evaluation Warning : The document was created with Spire.PDF for Python.
IS
S
N
:
2502
-
4752
In
do
n
e
s
i
a
n
J
E
l
e
c
E
ng
&
Co
m
p
S
c
i
,
V
o
l
.
19
,
N
o
.
2
,
A
ugus
t
20
20
:
10
00
-
1
00
9
1006
T
a
b
l
e
2
.
T
r
a
i
n
i
ng
a
n
d
v
a
l
i
d
a
t
i
o
n
e
v
a
l
ua
t
i
o
n
r
e
s
ul
t
o
f
a
c
c
ur
a
c
y
a
n
d
l
o
s
s
v
a
l
ue
o
f
CN
N
t
o
c
l
a
s
s
i
fy
In
do
n
e
s
i
a
n
n
e
w
s
t
e
xt
d
a
t
a
H
i
d
d
e
n
L
a
y
e
r
T
ra
i
n
i
n
g
P
ro
c
e
s
s
V
a
l
i
d
a
t
i
o
n
P
ro
c
e
s
s
A
c
c
u
ra
c
y
L
o
s
s
V
a
l
u
e
A
c
c
u
ra
c
y
L
o
s
s
V
a
l
u
e
100
0
,
8
1
3
6
0
,
3
5
8
6
0
,
8
0
,
4
1
2
6
200
0
,
8
1
3
6
0
,
3
6
7
4
0
,
8
0
,
4
3
7
2
300
0
,
7
8
9
5
0
,
4
8
6
0
,
7
8
9
5
0
,
5
1
9
4
T
a
b
l
e
3
.
T
e
s
t
i
n
g
e
v
a
l
ua
t
i
o
n
r
e
s
ul
t
o
f
a
c
c
ur
a
c
y
a
n
d
l
o
s
s
v
a
l
ue
o
f
CN
N
t
o
c
l
a
s
s
i
fy
In
do
n
e
s
i
a
n
n
e
w
s
M
o
d
e
l
1
0
0
H
i
d
d
e
n
L
a
y
e
r
2
0
0
H
i
d
d
e
n
L
a
y
e
r
3
0
0
H
i
d
d
e
n
L
a
y
e
r
A
c
c
u
ra
c
y
L
o
s
s
V
a
l
u
e
A
c
c
u
ra
c
y
L
o
s
s
V
a
l
u
e
A
c
c
u
ra
c
y
L
o
s
s
V
a
l
u
e
M
o
d
e
l
1
0
,
8
1
3
6
0
,
3
5
8
6
0
,
8
0
,
4
1
2
6
0
,
9
1
5
8
0
,
2
7
6
6
M
o
d
e
l
2
0
,
8
1
3
6
0
,
3
6
7
4
0
,
8
0
,
4
3
7
2
0
,
9
0
5
3
0
,
2
8
1
3
M
o
d
e
l
3
0
,
8
1
3
6
0
,
3
5
6
4
0
,
8
0
,
4
4
6
3
0
,
9
0
5
3
0
,
2
7
8
5
M
o
d
e
l
4
0
,
7
8
9
5
0
,
3
9
9
0
,
8
0
,
4
3
9
9
0
,
9
0
5
3
0
,
2
7
5
5
M
o
d
e
l
5
0
,
7
8
9
5
0
,
4
8
6
0
,
7
8
9
5
0
,
5
1
9
4
0
,
9
0
5
3
0
,
3
4
0
6
A
v
e
ra
g
e
0
,
8
0
3
9
6
0
,
3
9
3
4
8
0
,
7
9
7
9
0
,
4
5
1
0
8
0
,
9
0
7
4
0
,
2
9
0
5
3.
5
.
A
n
al
ys
i
s
an
d
e
v
al
u
ati
o
n
r
e
s
u
l
t
B
a
s
e
d
o
n
t
h
e
r
e
s
ul
t
o
f
t
h
e
e
xpe
ri
m
e
nt
,
t
hi
s
r
e
s
e
a
r
c
h
f
i
n
ds
t
h
a
t
:
a)
CN
N
a
l
go
ri
t
hm
i
s
n
o
t
o
n
l
y
us
e
d
fo
r
i
m
a
ge
da
t
a
b
ut
a
l
s
o
c
a
n
us
e
d
fo
r
t
e
xt
da
t
a
.
I
n
t
hi
s
c
a
s
e
,
fo
r
t
h
e
In
do
n
e
s
i
a
n
t
e
xt
da
t
a
.
T
h
e
r
e
s
ul
t
o
f
t
h
e
e
xp
e
r
i
m
e
nt
p
r
o
ve
s
t
h
a
t
CN
N
c
a
n
c
l
a
s
s
i
fy
t
h
e
In
do
n
e
s
i
a
n
N
e
w
s
w
e
l
l
w
i
t
h
t
h
e
a
v
e
r
a
ge
o
f
t
e
s
t
i
ng
r
e
s
ul
t
a
r
o
u
n
d
90
,
74%
.
I
t
i
s
di
f
f
e
r
e
n
t
f
r
o
m
c
l
us
t
e
r
i
z
a
t
i
o
n
t
ha
t
do
e
s
n
o
t
f
o
c
us
o
n
a
c
c
u
r
a
c
y
b
ut
h
a
s
m
a
n
y
i
n
t
e
r
p
r
e
t
a
t
i
o
n
s
[4
7
-
50]
.
On
t
h
e
o
t
h
e
r
ha
n
d
,
CN
N
,
a
s
t
h
e
c
l
a
s
s
i
f
i
c
a
t
i
o
n,
i
s
t
o
o
c
o
m
pl
e
x
t
o
a
n
a
l
y
z
e
a
nd
i
nt
e
rp
r
e
t
t
h
e
r
e
s
ul
t
,
i
n
c
l
ud
i
n
g
t
o
s
e
e
t
h
e
r
e
l
a
t
i
o
n
s
h
i
p
b
e
t
w
e
e
n
v
a
r
i
a
b
le
s
o
r
pa
ra
m
e
t
e
r
s
a
n
d
t
o
i
de
n
t
i
fy
w
h
i
c
h
s
e
t
of
pa
ra
m
e
t
e
r
s
gi
v
e
s
t
h
e
h
i
g
h
e
s
t
i
m
p
a
c
t
.
H
ow
e
ve
r
,
i
n
h
a
rm
o
n
y
w
i
t
h
m
uc
h
p
re
v
i
o
us
r
e
s
e
a
r
c
h,
D
L
s
t
i
l
l
h
a
s
t
h
e
h
i
g
h
e
s
t
a
c
c
ur
a
c
y
,
a
n
d
i
t
i
s
e
f
f
i
c
i
e
n
t
f
o
r
D
M
,
M
L
,
a
n
d
a
l
s
o
N
L
P
[11
,
12]
.
b)
Ta
b
l
e
2
s
h
o
w
s
t
h
a
t
m
o
r
e
hi
dde
n
l
a
y
e
r
s
t
e
n
d
t
o
de
c
r
e
a
s
e
t
h
e
a
c
c
ura
c
y
of
t
h
e
t
r
a
i
ni
n
g
p
r
o
c
e
s
s
a
n
d
v
a
l
i
da
t
i
o
n
p
r
o
c
e
s
s
e
ve
n
t
h
o
ug
h
i
t
i
s
n
o
t
s
i
g
ni
f
i
c
a
n
t
.
I
n
c
ont
r
a
s
t
,
t
h
e
l
o
s
s
v
a
l
ue
o
f
t
h
e
t
r
a
i
n
i
ng
p
r
o
c
e
s
s
i
n
c
r
e
a
s
e
s
.
T
hi
s
r
e
s
ul
t
i
s
i
n
c
o
m
pa
r
i
s
o
n
w
i
t
h
t
h
e
t
e
s
t
r
e
s
ul
t
s
s
h
o
w
n
i
n
T
a
b
l
e
3,
w
h
e
r
e
t
h
e
l
a
r
ge
s
t
hi
dde
n
l
a
y
e
r
ha
s
t
h
e
h
i
g
h
e
s
t
a
c
c
ura
c
y
.
B
a
s
e
d
o
n
t
h
e
s
e
r
e
s
ul
t
s
,
i
t
c
a
n
s
t
a
t
e
t
h
a
t
t
h
e
hi
g
h
e
r
h
i
dde
n
l
a
y
e
r
s
w
i
l
l
b
e
b
e
t
t
e
r
for
a
c
c
ura
c
y
.
H
ow
e
v
e
r
,
t
hi
s
r
e
s
ul
t
a
l
s
o
c
a
n
b
e
i
n
f
l
ue
n
c
e
d
by
t
h
e
qu
a
l
i
t
y
of
da
t
a
,
E
D
A
(f
o
r
e
xa
m
pl
e
m
a
n
y
o
ut
l
i
e
r
d
a
t
a
)
a
n
d
t
e
xt
p
r
e
-
p
r
o
c
e
s
s
i
n
g
p
h
a
s
e
(s
uc
h
a
s
a
n
u
n
c
o
m
pl
e
t
e
di
c
t
i
o
n
a
r
y
),
a
nd
a
n
o
t
h
e
r
pa
ra
m
e
t
e
r
s
e
t
t
i
ng.
F
i
g
u
re
11
.
G
r
a
p
hi
c
s
re
s
u
l
t
o
f
t
he
t
e
s
t
i
ng
p
ro
c
e
s
s
a
nd
t
he
a
v
e
ra
g
e
e
v
a
l
u
a
t
i
o
n
o
f
t
he
t
r
a
i
ni
ng
a
nd
v
a
l
i
d
a
t
i
o
n
p
ro
c
e
s
s
Evaluation Warning : The document was created with Spire.PDF for Python.
In
do
n
e
s
i
a
n
J
E
l
e
c
E
ng
&
Co
m
p
S
c
i
IS
S
N
:
2502
-
4752
Indone
s
i
an
ne
w
s
c
l
as
s
i
f
i
c
a
t
i
o
n
us
i
ng
c
on
v
ol
ut
i
onal
n
e
ur
al
ne
t
w
or
k
(
Muham
m
ad
A
l
i
R
am
dh
ani
)
1007
4.
C
O
N
C
LU
S
I
O
N
N
P
L
r
e
s
e
a
r
c
h
c
a
n
p
r
o
duc
e
i
n
f
l
ue
n
c
i
ng
r
e
s
ul
t
s
by
t
y
pe
of
l
a
ngua
ge
.
F
o
r
e
xa
m
pl
e
,
d
i
f
f
e
r
e
n
t
t
r
e
a
t
m
e
nt
of
E
n
gl
i
s
h
a
n
d
t
h
e
I
n
do
n
e
s
i
a
n
l
a
n
gu
a
ge
w
i
l
l
gi
v
e
di
ffe
r
e
nt
r
e
s
ul
t
s
.
T
h
e
N
P
L
c
a
n
a
l
s
o
c
o
m
b
i
n
e
w
i
t
h
D
a
t
a
M
i
n
i
n
g
,
M
a
c
hi
n
e
L
e
a
rni
n
g,
a
n
d
T
e
xt
M
i
n
i
ng
us
e
d
fo
r
t
e
x
t
d
a
t
a
.
I
n
t
h
e
c
u
rr
e
nt
N
L
P
r
e
s
e
a
r
c
h,
D
L
a
s
o
n
e
o
f
t
h
e
D
a
t
a
M
i
ni
n
g
m
e
t
h
o
ds
i
s
po
pul
a
r.
T
hi
s
s
t
udy
i
s
s
uc
c
e
s
s
f
ul
i
n
us
i
n
g
CN
N
,
w
h
i
c
h
i
s
o
n
e
of
D
L
a
l
go
r
i
t
hm
s
,
i
n
c
l
a
s
s
i
fy
i
n
g
t
h
e
In
do
n
e
s
i
a
n
N
e
w
s
t
e
xt
da
t
a
,
w
h
e
r
e
us
ua
l
l
y
CN
N
i
s
us
e
d
fo
r
i
m
a
ge
da
t
a
.
T
h
e
r
e
s
ul
t
o
f
t
h
e
e
xpe
r
i
m
e
nt
s
h
o
w
s
t
h
a
t
C
N
N
h
a
s
c
o
n
s
i
de
r
e
d
hi
g
h
a
c
c
ura
c
y
i
n
c
l
a
s
s
i
fy
i
n
g
t
h
e
I
n
do
n
e
s
i
a
n
N
e
w
s
.
F
o
r
f
ur
t
h
e
r
r
e
s
e
a
r
c
h,
i
t
c
a
n
us
e
m
o
r
e
d
a
t
a
c
o
l
l
e
c
t
i
o
n
t
ha
t
r
e
pr
e
s
e
nt
s
b
i
g
da
t
a
.
D
e
e
p
L
e
a
rni
n
g
m
e
t
h
o
d
a
ppe
a
r
s
b
e
c
a
us
e
of
t
h
e
n
e
e
ds
o
f
t
h
e
b
i
g
d
a
t
a
e
r
a
.
T
h
e
n
,
t
h
e
e
xpe
r
i
m
e
nt
s
h
o
ul
d
b
e
e
nha
n
c
e
d,
s
uc
h
a
s
by
t
h
e
de
ve
l
o
pm
e
n
t
o
f
t
h
e
v
a
ri
a
t
i
o
n
o
f
h
i
d
de
n
l
a
y
e
r
s
,
p
r
o
duc
t
i
o
n
o
f
v
a
r
i
o
us
m
o
de
l
s
,
a
n
d
d
i
f
fe
r
e
n
c
e
o
f
da
t
a
s
e
t
di
v
i
s
i
o
n
b
e
t
w
e
e
n
t
r
a
i
ni
n
g
da
t
a
a
n
d
t
e
s
t
i
ng
d
a
t
a
.
B
e
s
i
de
s
,
t
h
e
n
e
xt
r
e
s
e
a
r
c
h
c
a
n
us
e
a
n
o
t
h
e
r
a
c
t
i
v
a
t
i
o
n
f
u
n
c
t
i
o
n
b
e
s
i
de
s
S
i
gm
o
i
d,
a
n
o
t
h
e
r
e
m
b
e
ddi
n
g
r
e
p
r
e
s
e
n
t
a
t
i
o
n
b
e
s
i
de
s
G
l
o
V
e
,
e
ve
n
a
n
o
t
h
e
r
D
e
e
p
L
e
a
rni
n
g
a
l
go
r
i
t
hm
b
e
s
i
de
s
CN
N
.
R
EF
ER
EN
C
ES
[
1]
A
l
y
o
s
ha
,
“
N
um
b
e
r
o
f
l
a
ng
ua
g
e
s
i
n
t
h
e
w
o
r
l
d
(
i
n
B
a
ha
s
a
)
,
”
201
6.
[
O
n
l
i
n
e
]
.
A
v
a
i
l
a
b
l
e
:
ht
t
ps
:
/
/
a
l
y
o
s
ha
m
i
nd
e
d.
w
o
r
d
pr
e
s
s
.
c
o
m
/
t
a
g
/
j
um
l
a
h
-
ba
ha
s
a
-
di
-
d
uni
a
/
[
2]
R
e
pub
l
i
ka
,
“
M
a
ppe
d!
num
be
r
o
f
l
a
ng
ua
g
e
s
w
o
r
l
dw
i
d
e
,
w
he
r
e
i
s
I
ndo
ne
s
i
a
l
a
ng
ua
g
e
?
(
i
n
B
a
ha
s
a
)
2
016
.
[
O
nl
i
n
e
]
.
A
v
a
i
l
a
b
l
e
:
ht
t
ps
:
/
/
w
w
w
.
r
e
p
ub
l
i
k
a
.
c
o
.
i
d
/
b
e
r
i
t
a
/
i
n
t
e
r
na
s
i
o
na
l
/
g
l
o
ba
l
/
15/
1
2/
2
9/
o
02m
bk
366
-
t
e
r
p
e
t
a
ka
n
-
j
um
l
a
h
-
ba
h
a
s
a
-
di
-
s
e
l
ur
uh
-
dun
i
a
-
d
i
m
a
na
-
po
s
i
s
i
-
i
ndo
ne
s
i
a
[
3]
P
.
M
.
N
a
dk
a
r
ni
,
e
t
a
l
,
“
N
a
t
u
r
a
l
l
a
ng
ua
g
e
p
r
o
c
e
s
s
i
ng:
A
n
i
nt
r
o
duc
t
i
o
n,
”
J
our
nal
o
f
t
he
A
m
e
r
i
c
a
n
M
e
di
c
a
l
I
nf
or
m
a
t
i
c
s
A
s
s
oc
i
a
t
i
on
,
v
o
l
.
18
,
no
.
5
,
pp
.
5
44
-
551
,
2011
.
[
4]
G
.
G
.
C
ho
w
dhur
y
,
“
N
a
t
u
r
a
l
l
a
ng
ua
g
e
pr
o
c
e
s
s
i
ng
,
”
A
nn
ua
l
r
e
v
i
e
w
of
i
n
f
o
r
m
at
i
on
s
c
i
e
nc
e
and
t
e
c
h
nol
ogy
,
v
o
l
.
37,
no
.
1
,
pp.
5
1
-
89,
20
03.
[
5]
H
i
r
s
c
hb
e
r
g
a
nd
C
.
D
.
M
a
nni
ng
,
“
A
dv
a
nc
e
s
i
n
n
a
t
u
r
a
l
l
a
ng
ua
g
e
pr
o
c
e
s
s
i
ng
,
”
S
c
i
e
nc
e
,
v
o
l
.
3
49,
no
.
624
5,
pp.
26
1
-
266,
2
015
.
[
6]
H
.
J
i
a
w
e
i
,
M
.
K
a
m
be
r
,
J
.
H
a
n
,
M
.
K
a
m
be
r
,
a
nd
J
.
P
e
i
,
D
at
a
m
i
ni
ng:
c
on
c
e
pt
s
a
nd
t
e
c
hn
i
que
s
,
E
l
s
e
v
i
e
r
,
20
12.
[
7]
Y
.
E
.
Z
o
ha
r
,
“
I
nt
r
o
duc
t
i
o
n
t
o
t
e
xt
m
i
n
i
ng
,
”
A
u
t
om
a
t
e
d
L
e
ar
ni
ng
G
r
oup,
U
n
i
v
e
r
s
i
t
y
of
I
l
l
i
n
oi
s
,
20
02
.
[
8]
L
.
D
e
ng
,
“
D
e
e
p
l
e
a
r
ni
ng:
m
e
t
ho
ds
a
nd
a
pp
l
i
c
a
t
i
o
ns
,
”
F
ound
at
i
o
ns
and
T
r
e
nds
®
i
n
S
i
gna
l
P
r
oc
e
s
s
i
n
g
,
v
o
l
.
7
,
no
.
3
–
4,
pp
.
197
-
38
7,
20
14.
[
9]
J
.
S
c
hm
i
dh
ube
r
,
“
D
e
e
p
l
e
a
r
n
i
ng
i
n
n
e
ur
a
l
n
e
t
w
o
r
k
s
:
a
n
o
v
e
r
v
i
e
w
,
”
N
e
ur
al
N
e
t
w
or
k
s
,
v
o
l
.
61
,
p
p.
85
-
11
7,
20
15
.
[
10]
J
.
A
hm
a
d,
H
.
F
a
r
m
a
n
,
a
n
d
Z
.
J
a
n
,
“
D
e
e
p
l
e
a
r
n
i
ng
m
e
t
ho
ds
a
n
d
a
p
pl
i
c
a
t
i
o
ns
,
”
D
e
e
p
L
e
ar
ni
ng
:
C
on
v
e
r
ge
nc
e
t
o
B
i
g
D
at
a
A
na
l
y
t
i
c
s
,
pp
.
3
1
-
42,
20
19
.
[
11]
A
.
K
u
l
ka
r
n
i
a
nd
A
.
S
h
i
v
a
n
a
nd
a
,
“
D
e
e
p
l
e
a
r
n
i
ng
f
o
r
N
L
P
,
”
i
n
N
a
t
u
r
a
l
L
an
g
ua
ge
P
r
o
c
e
s
s
i
n
g
R
e
c
i
pe
s
,
pp
.
1
85
-
2
27
,
2
01
9
.
[
12]
T
.
Y
o
ung
,
D
.
H
a
z
a
r
i
k
a
,
S
.
P
o
r
i
a
,
a
n
d
E
.
C
a
m
br
i
a
,
“
R
e
c
e
nt
t
r
e
nds
i
n
d
e
e
p
l
e
a
r
ni
ng
b
a
s
e
d
n
a
t
ur
a
l
l
a
ng
ua
g
e
pr
o
c
e
s
s
i
ng
[
R
e
v
i
e
w
A
r
t
i
c
l
e
]
,
”
I
E
E
E
C
om
pu
t
.
I
nt
e
l
l
.
M
ag
.
,
v
o
l
.
13
,
n
o
.
3,
p
p.
55
–
75
,
2018
.
[
13]
M
.
Y
o
us
e
f
i
-
A
z
a
r
a
nd
L
.
H
a
m
e
y
,
“
T
e
xt
s
um
m
a
r
i
z
a
t
i
o
n
us
i
ng
un
s
upe
r
v
i
s
e
d
de
e
p
l
e
a
r
n
i
ng
,
”
E
x
pe
r
t
Sy
s
t
.
A
pp
l
.
,
v
o
l
.
68,
p
p.
93
-
10
5,
20
17
.
[
14]
G
.
R
o
s
s
i
e
l
l
o
,
“
N
e
u
r
a
l
a
b
s
t
r
a
c
t
i
v
e
t
e
x
t
s
um
m
a
r
i
z
a
t
i
o
n,
”
i
n
C
E
U
R
W
or
k
s
hop
P
r
oc
e
e
di
ngs
,
v
o
l
.
176
9,
pp.
70
-
75
2016
.
[
15]
M
.
P
a
t
e
l
,
A
.
C
ho
ks
hi
,
S
.
V
y
a
s
,
a
nd
K
.
M
a
ur
y
a
,
“
M
a
c
h
i
ne
l
e
a
r
ni
ng
a
ppr
o
a
c
h
f
o
r
a
ut
o
m
a
t
i
c
t
e
xt
s
um
m
a
r
i
z
a
t
i
o
n
us
i
ng
ne
ur
a
l
n
e
t
w
o
r
ks
,
”
I
nt
.
J
.
A
dv
.
R
e
s
.
C
om
pu
t
.
C
om
m
u
n.
E
ng
.
,
v
o
l
.
7,
no
.
1
,
pp.
1
94
–
2
02,
2
018
.
[
16]
M
.
K
a
l
a
s
h
,
M
.
R
o
c
ha
n
,
N
.
M
o
ha
m
m
e
d
,
N
.
D
.
B
.
B
r
uc
e
,
Y
.
W
a
ng
,
a
nd
F
.
I
qba
l
,
“
M
a
l
w
a
r
e
C
l
a
s
s
i
f
i
c
a
t
i
o
n
w
i
t
h
D
e
e
p
C
o
nvo
l
ut
i
o
na
l
N
e
u
r
a
l
N
e
t
w
o
r
k
s
,
”
201
8
9t
h
I
F
I
P
I
nt
e
r
na
t
i
ona
l
C
onf
e
r
e
nc
e
on
N
e
w
T
e
c
hnol
o
gi
e
s
,
M
obi
l
i
t
y
and
Se
c
ur
i
t
y
(
N
T
M
S)
,
P
a
r
i
s
,
pp
.
1
-
5
,
201
8
.
[
17]
M
.
J
a
de
r
be
r
g
,
K
.
S
i
m
o
ny
a
n,
A
.
V
e
da
l
di
,
a
nd
A
.
Z
i
s
s
e
r
m
a
n
,
“
R
e
a
di
ng
t
e
xt
i
n
t
he
w
i
l
d
w
i
t
h
c
o
nv
o
l
ut
i
o
na
l
ne
u
r
a
l
ne
t
w
o
r
k
s
,
”
I
n
t
.
J
.
C
om
pu
t
.
V
i
s
.
,
v
o
l
.
1
16
,
no
.
1
,
pp
.
1
–
20
,
201
6.
[
18]
K
.
Y
a
o
,
L
.
Z
h
a
ng
,
T
.
L
uo
,
a
nd
Y
.
W
u,
“
D
e
e
p
r
e
i
nf
o
r
c
e
m
e
nt
l
e
a
r
ni
ng
f
o
r
e
xt
r
a
c
t
i
v
e
do
c
um
e
nt
s
um
m
a
r
i
z
a
t
i
o
n,
”
N
e
ur
oc
om
pu
t
i
ng
,
v
o
l
.
284
,
pp
.
52
-
56,
2
018
.
[
19]
M
.
D
a
y
a
nd
C
.
C
h
e
n
,
“
A
r
t
i
f
i
c
i
a
l
i
n
t
e
l
l
i
g
e
nc
e
f
o
r
a
ut
o
m
a
t
i
c
t
e
xt
s
u
m
m
a
r
i
z
a
t
i
o
n
,
”
201
8
I
E
E
E
I
nt
.
C
o
nf
.
I
n
f
.
R
e
us
e
I
nt
e
gr
.
,
pp.
4
78
–
4
84,
2
018
.
[
20]
Y
.
Z
ha
ng
,
Q
.
L
i
u,
a
nd
L
.
S
o
ng
,
“
S
e
nt
e
nc
e
-
s
t
a
t
e
l
s
t
m
f
o
r
t
e
x
t
r
e
pr
e
s
e
n
t
a
t
i
o
n
,
”
P
r
oc
e
e
di
ngs
of
t
he
56t
h
A
nnu
al
M
e
e
t
i
ng
o
f
t
he
A
s
s
o
c
i
a
t
i
on
f
or
C
om
pu
t
a
t
i
ona
l
L
i
ng
ui
s
t
i
c
s
,
pp
.
317
-
3
27,
2
018
.
[
21]
J
.
T
.
B
e
h
r
e
n
s
,
“
P
r
i
nc
i
p
l
e
s
a
nd
p
r
o
c
e
d
u
r
e
s
o
f
e
x
p
l
o
r
a
t
o
r
y
d
a
t
a
a
n
a
l
y
s
i
s
,
”
P
s
y
c
h
o
l
.
M
e
t
ho
d
s
,
v
o
l
.
2
,
no
.
2
,
p
p
.
13
1
,
19
9
7
.
[
22]
M
.
S
t
ua
r
t
,
D
.
C
.
H
o
a
g
l
i
n
,
F
.
M
o
s
t
e
l
l
e
r
,
a
nd
J
.
W
.
T
u
ke
y
,
“
U
nde
r
s
t
a
ndi
ng
r
o
bus
t
a
n
d
e
xp
l
o
r
a
t
o
r
y
da
t
a
a
n
a
l
y
s
i
s
.
,
”
St
a
t
.
,
200
6.
[
23]
D
.
S
.
M
a
y
l
a
w
a
t
i
a
nd
G
.
A
.
P
.
S
a
pt
a
w
a
t
i
,
“
S
e
t
o
f
f
r
e
que
n
t
w
o
r
d
i
t
e
m
s
e
t
s
a
s
f
e
a
t
u
r
e
r
e
p
r
e
s
e
n
t
a
t
i
o
n
f
o
r
t
e
x
t
w
i
t
h
I
nd
o
ne
s
i
a
n
s
l
a
ng
,
”
J
ou
r
na
l
of
P
hy
s
i
c
s
C
o
nf
e
r
e
nc
e
Se
r
i
e
s
.
v
o
l
.
80
1.
no
.
1
.
2017
.
[
24]
J
.
W
.
T
uke
y
,
“
T
he
f
ut
u
r
e
o
f
da
t
a
a
na
l
y
s
i
s
,
”
T
he
ann
al
s
o
f
m
at
he
m
at
i
c
a
l
s
t
at
i
s
t
i
c
s
,
v
o
l
.
33
,
no
.
1,
pp
.
1
-
67,
1
962
.
[
25]
D
.
C
.
H
o
a
g
l
i
n
,
“
J
o
hn
W
.
T
uk
e
y
a
nd
da
t
a
a
na
l
y
s
i
s
,
”
Q
ual
i
t
y
c
ont
r
ol
and
a
ppl
i
e
d
s
t
at
i
s
t
i
c
s
,
v
o
l
.
49
,
no
.
5
,
pp.
54
9
-
552,
2
004
.
Evaluation Warning : The document was created with Spire.PDF for Python.
IS
S
N
:
2502
-
4752
In
do
n
e
s
i
a
n
J
E
l
e
c
E
ng
&
Co
m
p
S
c
i
,
V
o
l
.
19
,
N
o
.
2
,
A
ugus
t
20
20
:
10
00
-
1
00
9
1008
[
26]
D
.
S
.
M
a
y
l
a
w
a
t
i
,
H
.
A
ul
a
w
i
,
a
nd
M
.
A
.
R
a
m
dh
a
ni
,
“
F
l
e
xi
b
i
l
i
t
y
o
f
I
ndo
ne
s
i
a
n
t
e
x
t
pr
e
-
pr
o
c
e
s
s
i
ng
l
i
b
r
a
r
y
,
”
I
ndo
ne
s
i
an
J
our
nal
o
f
E
l
e
c
t
r
i
c
a
l
E
ngi
ne
e
r
i
ng
and
C
om
p
ut
e
r
Sc
i
e
nc
e
.
,
v
o
l
.
13
,
no
.
1
,
pp
.
420
–
426
,
2019
.
[
27]
B
.
S
.
H
a
r
i
s
h
,
D
.
S
.
G
ur
u,
a
n
d
S
.
M
a
nj
u
na
t
h,
“
R
e
pr
e
s
e
nt
a
t
i
o
n
a
n
d
c
l
a
s
s
i
f
i
c
a
t
i
o
n
o
f
t
e
x
t
do
c
um
e
nt
s
:
A
br
i
e
f
r
e
v
i
e
w
,
”
I
J
C
A
,
S
pe
c
.
I
s
s
ue
R
e
c
e
nt
T
r
e
nd
s
I
m
age
P
r
oc
e
s
s
.
P
at
t
e
r
n
R
e
c
og
ni
t
.
,
no
.
2
,
pp.
1
10
–
1
19,
2
010
.
[
28]
W
.
J
i
n
a
nd
R
.
K
.
S
r
i
ha
r
i
,
“
G
r
a
ph
-
ba
s
e
d
t
e
xt
r
e
p
r
e
s
e
n
t
a
t
i
o
n
a
nd
kn
o
w
l
e
dg
e
di
s
c
o
v
e
r
y
,
”
i
n
P
r
oc
e
e
di
ngs
o
f
t
he
2007
A
C
M
s
y
m
p
os
i
um
on
A
pp
l
i
e
d
c
om
p
ut
i
ng
,
pp
.
807
-
811
,
200
7.
[
29]
W
.
P
u,
N
.
L
i
u
,
S
.
Y
a
n,
J
.
Y
a
n
,
K
.
X
i
e
,
a
nd
Z
.
C
he
n
,
“
L
o
c
a
l
w
o
r
d
b
a
g
m
o
de
l
f
o
r
t
e
xt
c
a
t
e
g
o
r
i
z
a
t
i
o
n,
”
Se
v
e
nt
h
I
E
E
E
I
nt
e
r
n
at
i
on
al
C
on
f
e
r
e
nc
e
on
D
at
a
M
i
n
i
ng
(
I
C
D
M
20
07)
,
O
m
a
ha
,
N
E
,
pp.
6
25
-
630
,
2007
.
[
30]
H
.
M
.
W
a
l
l
a
c
h,
“
T
o
pi
c
m
o
de
l
i
ng
:
be
y
o
nd
ba
g
-
of
-
w
o
r
ds
,
”
P
r
oc
e
e
di
ng
s
o
f
t
he
23
r
d
i
n
t
e
r
na
t
i
ona
l
c
onf
e
r
e
nc
e
on
M
ac
hi
ne
l
e
ar
n
i
ng
,
pp
.
977
–
984
,
2006
.
[
31]
A
.
S
e
t
hy
a
nd
B
.
R
a
m
a
b
ha
d
r
a
n
,
“
B
a
g
-
of
-
w
o
r
d
no
r
m
a
l
i
z
e
d
n
-
g
r
a
m
m
o
de
l
s
,
”
i
n
P
r
oc
e
e
di
ngs
o
f
t
he
A
nn
ual
C
onf
e
r
e
nc
e
o
f
t
he
I
nt
e
r
n
at
i
on
al
Spe
e
c
h
C
om
m
uni
c
a
t
i
on
A
s
s
oc
i
at
i
on
,
I
N
T
E
R
SP
E
E
C
H
,
pp
.
1
59
4
–
15
97
,
2
008
.
[
32]
D
.
S
.
M
a
y
l
a
w
a
t
i
,
M
.
A
.
R
a
m
dha
ni
,
A
.
R
a
hm
a
n
,
a
nd
W
.
D
a
r
m
a
l
a
k
s
a
na
,
“
I
nc
r
e
m
e
nt
a
l
t
e
c
hn
i
qu
e
w
i
t
h
s
e
t
o
f
f
r
e
que
nt
w
o
r
d
i
t
e
m
s
e
t
s
f
o
r
m
i
n
i
ng
l
a
r
g
e
I
ndo
ne
s
i
a
n
t
e
x
t
d
a
t
a
,
”
i
n
2
017
5t
h
I
n
t
e
r
na
t
i
o
na
l
C
on
f
e
r
e
nc
e
on
C
y
be
r
an
d
I
T
Se
r
v
i
c
e
M
a
nage
m
e
nt
(
C
I
T
SM
)
,
p
p.
1
–
6
,
20
17
.
[
33]
M
.
K
a
g
e
ba
c
k
,
O
.
M
o
g
r
e
n,
N
.
T
a
hm
a
s
e
b
i
,
a
nd
D
.
D
ubh
a
s
h
i
,
“
E
xt
r
a
c
t
i
v
e
s
um
m
a
r
i
z
a
t
i
o
n
u
s
i
ng
c
o
nt
i
nuo
us
v
e
c
t
o
r
s
pa
c
e
m
o
de
l
s
,
”
P
r
oc
.
2
nd
W
or
k
.
C
on
t
i
n
.
V
e
c
t
o
r
Sp.
M
ode
l
.
t
he
i
r
C
o
m
pos
.
,
pp
.
31
-
39
,
2014
.
[
34]
Y
.
Z
ha
ng
,
M
.
L
e
a
s
e
,
a
nd
B
.
C
.
W
a
l
l
a
c
e
,
“
A
c
t
i
v
e
di
s
c
r
i
m
i
n
a
t
i
v
e
t
e
xt
r
e
p
r
e
s
e
n
t
a
t
i
o
n
l
e
a
r
ni
ng
,
”
P
r
oc
.
T
hi
r
t
y
-
F
i
r
s
t
A
A
A
I
C
on
f
.
A
r
t
i
f
.
I
n
t
e
l
l
.
,
p
p.
33
86
–
3
392
,
2016
.
[
35]
K
.
Z
up
a
nc
a
nd
Z
.
B
o
s
ni
ć
,
“
A
ut
o
m
a
t
e
d
e
s
s
a
y
e
v
a
l
ua
t
i
o
n
w
i
t
h
s
e
m
a
nt
i
c
a
na
l
y
s
i
s
,
”
K
now
l
e
dge
-
B
as
e
d
Sy
s
t
.
,
v
o
l
.
12
0,
pp.
11
8
-
132,
2
017
.
[
36]
S
.
T
.
D
um
a
i
s
,
“
L
a
t
e
n
t
s
e
m
a
nt
i
c
a
na
l
y
s
i
s
,
”
A
nn
u.
R
e
v
.
I
nf
.
Sc
i
.
T
e
c
h
nol
.
,
v
o
l
.
38,
no
.
1
,
pp.
1
88
–
2
30,
2
005
.
[
37]
J
.
Y
.
Y
e
h
,
H
.
R
.
K
e
,
W
.
P
.
Y
a
ng
,
a
nd
I
.
H
.
M
e
ng
,
“
T
e
x
t
s
um
m
a
r
i
z
a
t
i
o
n
u
s
i
ng
a
t
r
a
i
n
a
b
l
e
s
um
m
a
r
i
z
e
r
a
nd
l
a
t
e
n
t
s
e
m
a
n
t
i
c
a
na
l
y
s
i
s
,
”
I
n
f
.
P
r
oc
e
s
s
.
M
a
nag
.
,
v
o
l
.
41,
no
.
1
,
pp.
7
5
–
95
,
2005
.
[
38]
H
.
S
c
hue
t
z
e
,
H
.
A
de
l
,
a
nd
E
.
A
s
g
a
r
i
,
“
N
o
ns
y
m
b
o
l
i
c
t
e
xt
r
e
pr
e
s
e
nt
a
t
i
o
n
,
”
P
r
oc
.
15
t
h
C
on
f
.
E
u
r
.
C
ha
pt
e
r
A
s
s
oc
.
C
om
put
.
L
i
n
gu
i
s
t
.
C
om
pu
t
.
L
i
n
gui
s
t
.
,
v
o
l
.
1,
p
p.
78
5
–
79
6,
20
17
.
[
39]
K
.
N
.
S
i
ng
h
a
nd
H
.
M
.
D
e
v
i
,
“
D
o
c
um
e
nt
r
e
p
r
e
s
e
nt
a
t
i
o
n
t
e
c
hni
que
s
a
nd
t
he
i
r
e
f
f
e
c
t
o
n
t
h
e
do
c
um
e
nt
c
l
us
t
e
r
i
ng
a
nd
c
l
a
s
s
i
f
i
c
a
t
i
o
n
:
a
r
e
v
i
e
w
,
”
I
nt
.
J
.
A
dv
.
R
e
s
.
C
om
pu
t
.
Sc
i
.
,
v
o
l
.
8
,
no
.
5
,
pp.
1
780
–
1784
,
201
7.
[
40]
L
.
A
.
G
a
t
y
s
,
A
.
S
.
E
c
ke
r
,
a
nd
M
.
B
e
t
hg
e
,
“
I
m
a
g
e
S
t
y
l
e
T
r
a
ns
f
e
r
U
s
i
ng
C
o
nvo
l
ut
i
o
na
l
N
e
ur
a
l
N
e
t
w
o
r
k
s
,
”
2
016
I
E
E
E
C
on
f
e
r
e
nc
e
on
C
om
pu
t
e
r
V
i
s
i
on
an
d
P
at
t
e
r
n
R
e
c
o
gn
i
t
i
on
(
C
V
P
R
)
,
L
a
s
V
e
g
a
s
,
N
V
,
p
p.
24
14
-
2423
,
201
6
.
[
41]
S
.
S
e
n
a
,
“
I
nt
r
o
duc
t
i
o
n
de
e
p
l
e
a
r
n
i
ng
pa
r
t
7:
c
o
nvo
l
ut
i
o
na
l
n
e
ur
a
l
ne
t
w
o
r
k
(
C
N
N
)
(
i
n
B
a
ha
s
a
)
,
”
201
7
,
O
n
l
i
ne
]
.
A
v
a
i
l
a
b
l
e
:
ht
t
p
s
:
/
/
m
e
d
i
um
.
c
o
m
/
@s
a
m
ue
l
s
e
na
/
pe
ng
e
n
a
l
a
n
-
de
e
p
-
l
e
a
r
ni
ng
-
pa
r
t
-
7
-
c
o
n
v
o
l
ut
i
o
na
l
-
ne
ur
a
l
-
ne
t
w
o
r
k
-
c
nn
-
b003b
477dc
94
.
[
42]
I
.
W
.
S
ua
r
t
i
ka
E
.
P
,
“
I
m
a
g
e
c
l
a
s
s
i
f
i
c
a
t
i
o
n
u
s
i
ng
c
o
nvo
l
ut
i
o
na
l
ne
ur
a
l
ne
t
w
o
r
k
(
C
N
N
)
at
C
a
l
t
e
c
h
101
(
i
n
B
a
ha
s
a
)
,
”
J
.
T
e
k
.
I
T
S
,
v
o
l
.
5,
no
.
1
,
p
p
.
7
6,
20
16.
[
43]
D
.
S
.
M
a
y
l
a
w
a
t
i
,
W
.
B
.
Z
u
l
f
i
ka
r
,
C
.
S
l
a
m
e
t
,
a
nd
M
.
A
.
R
a
m
dh
a
ni
,
“
A
n
i
m
pr
o
v
e
d
o
f
s
t
e
m
m
i
ng
a
l
g
o
r
i
t
hm
f
o
r
m
i
ni
ng
I
nd
o
ne
s
i
a
n
t
e
x
t
w
i
t
h
s
l
a
ng
o
n
s
o
c
i
a
l
m
e
d
i
a
,
”
i
n
6
t
h
I
n
t
e
r
nat
i
ona
l
C
onf
e
r
e
nc
e
on
C
y
be
r
and
I
T
Se
r
v
i
c
e
M
an
age
m
e
nt
(
C
I
T
S
M
201
8)
,
pp
.
1
-
6
,
201
8.
[
44]
H
.
Z
a
m
a
ni
a
nd
W
.
B
.
C
r
o
f
t
,
“
R
e
l
e
v
a
nc
e
-
ba
s
e
d
w
o
r
d
e
m
be
d
di
ng
,
”
i
n
P
r
oc
e
e
di
ng
s
o
f
t
he
40
t
h
I
n
t
e
r
na
t
i
o
nal
A
C
M
SI
G
I
R
C
on
f
e
r
e
nc
e
on
R
e
s
e
ar
c
h
an
d
D
e
v
e
l
opm
e
n
t
i
n
I
n
f
o
r
m
at
i
o
n
R
e
t
r
i
e
v
al
,
pp
.
5
05
-
514
,
2017
.
[
45]
M
.
N
a
i
l
i
,
A
.
H
.
C
ha
i
b
i
,
a
nd
H
.
H
.
B
e
n
G
h
e
z
a
l
a
,
“
C
o
m
pa
r
a
t
i
v
e
s
t
udy
o
f
w
o
r
d
e
m
be
ddi
ng
m
e
t
ho
ds
i
n
t
o
pi
c
s
e
g
m
e
nt
a
t
i
o
n,
”
P
r
oc
e
di
a
C
om
p
ut
e
r
Sc
i
e
nc
e
,
v
o
l
.
112
,
pp
.
340
-
349
,
2017
.
[
46]
M
.
K
a
m
ka
r
ha
g
hi
g
hi
a
nd
M
.
M
a
k
r
e
hc
hi
,
“
C
o
nt
e
n
t
t
r
e
e
w
o
r
d
e
m
be
d
di
ng
f
o
r
doc
um
e
nt
r
e
pr
e
s
e
nt
a
t
i
o
n
,
”
E
x
pe
r
t
S
y
s
t
.
A
ppl
.
,
v
o
l
.
90
,
p
p.
24
1
-
249
,
2
017
.
[
47]
X
.
W
u,
X
.
Z
hu,
G
.
Q
.
W
u
,
a
nd
W
.
D
i
ng
,
“
D
a
t
a
m
i
n
i
ng
w
i
t
h
b
i
g
da
t
a
,
”
I
E
E
E
T
r
an
s
.
K
n
ow
l
.
D
at
a
E
ng
.
,
v
o
l
.
26
,
no
.
1,
pp
.
97
-
107
,
201
4.
[
48]
I
.
H
.
W
i
t
t
e
n
,
E
.
F
r
a
nk
,
M
.
A
.
H
a
l
l
,
a
nd
C
.
J
.
P
a
l
,
D
a
t
a
M
i
n
i
ng
:
P
r
ac
t
i
c
a
l
M
a
c
h
i
ne
L
e
ar
ni
ng
T
o
ol
s
and
T
e
c
hn
i
que
s
,
F
o
ur
t
h
E
d
i
.
U
n
i
t
e
d
S
t
a
t
e
s
o
f
A
m
e
r
i
c
a
:
M
o
r
g
a
n
K
a
uf
m
a
n
,
201
2.
[
49]
F
.
A
.
H
e
r
m
a
w
a
t
i
,
D
a
t
a
M
i
ni
n
g
,
Y
o
gy
a
ka
r
t
a
:
A
ndi
,
2013
.
[
50]
A
.
L
a
m
a
ni
,
B
.
E
r
r
a
ha
,
M
.
E
l
ky
a
l
,
a
n
d
A
.
S
a
i
r
,
“
D
a
t
a
m
i
ni
ng
t
e
c
hni
que
s
a
pp
l
i
c
a
t
i
o
n
f
o
r
pr
e
d
i
c
t
i
o
n
i
n
O
L
A
P
c
ube
,
”
I
nt
e
r
n
at
i
on
al
J
o
ur
n
al
o
f
E
l
e
c
t
r
i
c
al
a
nd
C
om
pu
t
e
r
E
n
gi
ne
e
r
i
n
g
,
v
o
l
.
9
,
no
.
3
,
pp
.
2
094
-
210
2,
20
19
.
B
I
O
G
R
A
P
H
I
ES
O
F
A
U
T
H
O
R
S
M
u
h
am
m
ad
A
l
i
R
am
d
h
a
n
i
i
s
a
P
r
o
f
e
s
s
o
r
i
n
I
nf
o
r
m
a
t
i
o
n
T
e
c
hno
l
o
gy
R
e
s
e
a
r
c
h
i
n
t
he
D
e
pa
r
t
m
e
n
t
o
f
I
nf
o
r
m
a
t
i
c
s
a
t
t
he
U
I
N
S
una
n
G
u
nung
D
j
a
t
i
B
a
ndu
ng
,
I
ndo
ne
s
i
a
.
H
i
s
c
ur
r
e
n
t
r
e
s
e
a
r
c
h
i
n
t
e
r
e
s
t
s
f
o
c
us
o
n
I
nf
o
r
m
a
t
i
o
n
S
y
s
t
e
m
,
E
x
pe
r
t
S
y
s
t
e
m
,
D
e
c
i
s
i
o
n
S
up
po
r
t
S
y
s
t
e
m
,
S
t
r
a
t
e
g
i
c
M
a
na
g
e
m
e
n
t
,
a
nd
R
e
s
e
a
r
c
h
M
e
t
ho
do
l
o
gy
.
Evaluation Warning : The document was created with Spire.PDF for Python.
In
do
n
e
s
i
a
n
J
E
l
e
c
E
ng
&
Co
m
p
S
c
i
IS
S
N
:
2502
-
4752
Indone
s
i
an
ne
w
s
c
l
as
s
i
f
i
c
a
t
i
o
n
us
i
ng
c
on
v
ol
ut
i
onal
n
e
ur
al
ne
t
w
or
k
(
Muham
m
ad
A
l
i
R
am
dh
ani
)
1009
D
i
an
S
a
’
ad
i
l
l
ah
M
ay
l
aw
at
i
i
s
a
l
e
c
t
ur
e
r
i
n
t
he
D
e
pa
r
t
m
e
nt
o
f
I
nf
or
m
a
t
i
c
s
a
t
t
he
U
I
N
S
una
n
G
unung
D
j
a
t
i
B
a
ndung
,
I
ndo
ne
s
i
a
.
H
er
c
ur
r
e
n
t
r
e
s
e
a
r
c
h
i
nt
e
r
e
s
t
s
f
o
c
us
o
n
S
o
f
t
w
a
r
e
E
ng
i
ne
e
r
i
ng
,
E
xpe
r
t
S
y
s
t
e
m
,
T
e
xt
M
i
ni
ng
,
a
nd
N
a
t
ur
a
l
L
a
ng
ua
g
e
P
r
o
c
e
s
s
i
ng
.
S
he
t
a
k
e
s
t
he
P
h.
D
.
de
g
r
e
e
i
n
I
nf
o
r
m
a
t
i
o
n
a
nd
C
o
m
m
uni
c
a
t
i
o
n
T
e
c
hno
l
o
gy
i
n
U
ni
v
e
r
s
i
t
i
T
e
kn
i
ka
l
M
a
l
a
y
s
i
a
M
e
l
a
k
a
(
U
T
e
M
)
.
T
e
d
d
y
M
an
t
o
r
o
i
s
a
C
o
m
put
e
r
S
c
i
e
nc
e
P
r
o
f
e
s
s
o
r
a
t
S
a
m
po
e
r
n
a
U
ni
v
e
r
s
i
t
y
,
J
a
ka
r
t
a
.
H
e
o
bt
a
i
n
e
d
a
P
h
.
D
.
,
a
n
M
S
c
a
nd
a
B
S
c
,
a
l
l
i
n
C
o
m
pu
t
e
r
S
c
i
e
nc
e
a
n
d
hi
s
P
h.
D
.
a
w
a
r
de
d
f
r
o
m
t
he
S
c
ho
o
l
o
f
C
o
m
put
e
r
S
c
i
e
nc
e
,
t
he
A
us
t
r
a
l
i
a
n
N
a
t
i
o
na
l
U
ni
v
e
r
s
i
t
y
(
A
N
U
)
,
C
a
nbe
r
r
a
,
A
us
t
r
a
l
i
a
.
H
e
i
s
a
S
e
n
i
o
r
M
e
m
b
e
r
o
f
I
E
E
E
.
H
i
s
r
e
s
e
a
r
c
h
i
n
t
e
r
e
s
t
i
s
i
n
i
nf
o
r
m
a
t
i
o
n
S
e
c
u
r
i
t
y
,
pe
r
v
a
s
i
v
e
/
u
b
i
qu
i
t
o
u
s
c
o
m
pu
t
i
ng
,
w
i
r
e
l
e
s
s
s
e
n
s
o
r
ne
t
w
o
r
k
,
c
o
n
t
e
x
t
-
a
w
a
r
e
c
o
m
pu
t
i
ng
,
m
o
b
i
l
e
c
o
m
pu
t
i
ng
,
a
n
d
i
n
t
e
l
l
i
g
e
n
t
e
nv
i
r
o
nm
e
n
t
/
I
o
T
.
Evaluation Warning : The document was created with Spire.PDF for Python.