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t
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l J
o
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l o
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E
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rica
l a
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)
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9
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v9
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.
pp
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1444
1437
J
o
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l ho
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e
:
h
ttp
:
//ia
e
s
co
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co
m/
jo
u
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d
ex
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p
h
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JE
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E
A new
appro
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ch t
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m
ila
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extract
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w
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kk
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l Sa
ra
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a
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to
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t
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lec
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it
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in
v
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e
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n
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it
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ies
h
a
v
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p
le
m
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c
h
a
s
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in
g
th
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k
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y
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s,
se
a
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g
a
c
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g
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m
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s
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se
a
rc
h
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g
b
y
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sti
m
a
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n
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th
e
sim
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a
rit
y
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A
c
u
sto
m
e
r
is
lo
o
k
in
g
f
o
r
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se
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f
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e
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o
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t,
h
e
n
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e
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tere
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o
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g
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d
in
g
t
h
e
se
a
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h
f
o
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se
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ice
s
to
w
a
rd
s
a
se
a
rc
h
f
o
r
o
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e
ra
ti
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n
s:
f
in
d
in
g
th
e
d
e
sire
d
o
p
e
ra
ti
o
n
s
a
m
o
u
n
ts
to
f
in
d
in
g
th
e
se
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s.
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o
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t
h
is,
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ro
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p
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g
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o
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r
o
p
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ra
ti
o
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s
w
o
u
l
d
m
a
k
e
it
p
o
ss
ib
le
to
o
b
tain
a
ll
th
e
se
rv
ice
s
th
a
t
c
a
n
m
e
e
t
th
e
d
e
sire
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f
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s.
T
h
e
c
u
sto
m
e
r
c
a
n
th
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n
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lec
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in
th
is
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t
th
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se
rv
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h
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p
a
p
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r
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re
s
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ts
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st
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d
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o
f
th
e
si
m
il
a
rit
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e
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we
e
n
o
p
e
ra
ti
o
n
s.
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h
e
p
ro
p
o
se
d
a
p
p
r
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a
c
h
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v
a
li
d
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ted
th
ro
u
g
h
a
n
e
x
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ri
m
e
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tal
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d
y
c
o
n
d
u
c
ted
o
n
w
e
b
se
rv
ice
s b
e
lo
n
g
in
g
to
v
a
ri
o
u
s
d
o
m
a
in
s
.
K
ey
w
o
r
d
s
:
Hu
n
g
ar
ia
n
alg
o
r
it
h
m
Se
m
a
n
tic
a
n
al
y
s
is
S
y
n
ta
x
an
al
y
s
i
s
W
eb
s
er
v
ices
W
SDL
s
i
m
ilar
it
y
Co
p
y
rig
h
t
©
2
0
1
9
In
stit
u
te o
f
A
d
v
a
n
c
e
d
E
n
g
i
n
e
e
rin
g
a
n
d
S
c
ien
c
e
.
Al
l
rig
h
ts
re
se
rv
e
d
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
R
ek
k
al
S
ar
a,
Dep
ar
t
m
en
t o
f
co
m
p
u
ter
s
c
ien
ce
,
Un
i
v
e
r
s
it
y
o
f
Or
a
n
1
Ah
m
ed
B
en
B
ella,
Or
an
,
A
l
g
er
ia.
E
m
ail: r
ek
k
al_
s
ar
a
h
@
y
a
h
o
o
.
f
r
1.
I
NT
RO
D
UCT
I
O
N
Dev
elo
p
ed
b
y
p
r
o
v
id
er
s
in
W
SDLs
(
W
eb
Ser
v
ice
De
s
cr
ip
ti
o
n
L
an
g
u
ag
e)
f
iles
an
d
e
x
p
o
s
e
d
in
UDDI
(
Un
iv
er
s
al
De
s
cr
ip
tio
n
,
Dis
c
o
v
er
y
,
an
d
I
n
teg
r
at
io
n
)
,
w
eb
s
er
v
ice
s
ar
e
p
r
o
g
r
a
m
s
th
at
d
ef
in
e
f
ea
t
u
r
es
w
i
th
a
v
ie
w
to
b
ein
g
r
e
m
o
te
l
y
ca
lled
u
p
o
n
t
h
r
o
u
g
h
an
SO
A
ar
c
h
itect
u
r
e
(
Ser
v
ice
-
Or
ien
ted
A
r
ch
ite
ctu
r
e)
.
Fo
r
v
ar
io
u
s
r
ea
s
o
n
s
,
th
e
m
ai
n
o
n
es
b
ein
g
t
h
eir
av
ailab
ili
t
y
a
n
d
ea
s
y
-
to
-
u
s
e,
w
eb
s
er
v
ice
s
h
av
e
q
u
ick
l
y
g
a
in
ed
p
o
p
u
lar
it
y
an
d
th
e
ir
n
u
m
b
er
k
ee
p
s
g
r
o
w
i
n
g
.
T
h
e
m
a
n
ip
u
lat
io
n
p
r
o
ce
s
s
b
eg
in
s
w
it
h
th
e
i
n
ter
r
o
g
atio
n
o
f
t
h
e
UDDI
s
r
eg
is
ter
s
w
it
h
a
s
i
m
p
le
r
eq
u
est
th
at
ex
p
r
es
s
es
th
e
clie
n
t
'
s
n
e
ed
.
Fo
r
a
g
iv
en
n
ee
d
,
s
e
v
er
al
W
eb
s
er
v
ices
m
a
y
ex
is
t,
e
ac
h
w
ith
p
ar
ticu
lar
ch
ar
ac
ter
is
tic
s
s
u
ch
as
co
s
t,
p
er
f
o
r
m
an
ce
,
r
eliab
ili
t
y
e
tc.
T
h
e
clien
t
ca
n
t
h
en
s
elec
t
th
e
s
er
v
ice
t
h
at
b
est
m
ee
t
s
h
is
n
ee
d
s
,
r
etr
iev
es
t
h
e
UR
L
i
d
en
tify
i
n
g
th
e
s
er
v
ice
o
f
h
is
c
h
o
ice,
ac
ce
s
s
h
i
s
W
SD
L
in
ter
f
ac
e
an
d
p
r
o
ce
ed
to
its
in
v
o
ca
tio
n
.
Desp
ite
t
h
e
ef
f
o
r
ts
o
f
r
esear
ch
an
d
d
e
v
elo
p
m
e
n
t
ar
o
u
n
d
W
eb
s
er
v
ices,
t
h
ese
tech
n
o
lo
g
ies
ar
e
ex
tr
e
m
e
l
y
co
m
p
le
x
an
d
p
o
s
e
m
an
y
c
h
alle
n
g
e
s
.
T
h
eir
co
m
p
l
ex
itie
s
u
s
u
all
y
co
m
e
f
r
o
m
t
h
e
f
o
llo
w
in
g
s
o
u
r
ce
s
:
1.
T
h
e
m
ar
k
eti
n
g
o
f
w
eb
s
er
v
ice
s
o
n
th
e
in
ter
n
et
is
co
n
s
ta
n
tl
y
in
cr
ea
s
i
n
g
,
w
h
ic
h
r
es
u
lts
i
n
a
n
i
n
cr
ea
s
i
n
g
l
y
g
r
o
w
i
n
g
n
u
m
b
er
:
a.
Ma
k
i
n
g
r
esear
c
h
d
if
f
ic
u
lt a
n
d
g
r
ee
d
y
in
ter
m
s
o
f
ti
m
e.
b.
L
ea
d
in
g
to
an
i
n
s
u
f
f
icien
t sele
ctio
n
o
f
r
elev
a
n
t ser
v
ices.
2.
W
eb
s
er
v
ices a
r
e
cr
ea
ted
a
n
d
u
p
d
ated
in
a
h
i
g
h
l
y
d
y
n
a
m
ic
w
a
y
.
T
h
e
s
a
m
e
s
er
v
ices to
d
a
y
ca
n
b
e
d
i
f
f
er
e
n
t
to
m
o
r
r
o
w
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
9
,
No
.
2
,
A
p
r
il 2
0
1
9
:
1
4
3
7
-
1444
1438
3.
W
eb
s
er
v
ices
ar
e
d
ev
elo
p
ed
b
y
d
i
f
f
er
en
t
en
titi
es.
As
a
r
esu
l
t,
f
o
r
th
e
s
a
m
e
tas
k
,
w
e
ca
n
d
is
co
v
er
s
ev
er
al
W
eb
s
er
v
ices
ca
p
ab
le
o
f
e
x
ec
u
ti
n
g
it.
Ho
w
e
v
er
,
t
h
e
y
d
if
f
er
in
th
e
ir
n
o
n
-
f
u
n
ctio
n
al
p
r
o
p
er
ties
w
h
ic
h
ar
e
ex
p
r
ess
ed
b
y
attr
ib
u
te
s
ca
lled
Qo
S "
Qu
alit
y
of
Ser
v
ice"
.
4.
W
eb
s
er
v
ices
o
p
er
ate
in
v
o
lati
le
en
v
ir
o
n
m
en
t
s
.
As
a
r
es
u
lt,
t
h
eir
r
elo
ca
tio
n
o
r
d
eletio
n
i
s
d
o
n
e
o
n
t
h
e
f
l
y
,
w
h
ic
h
ca
u
s
es t
h
e
ap
p
licatio
n
s
to
s
to
p
w
h
e
n
t
h
e
y
ar
e
u
s
ed
.
Ma
n
y
w
o
r
k
s
h
a
v
e
b
ee
n
p
r
o
p
o
s
ed
to
ad
d
r
ess
th
o
s
e
p
r
o
b
lem
s
s
u
ch
t
h
at:
I
n
[
1
]
th
e
au
t
h
o
r
s
s
u
g
g
e
s
ted
a
n
ap
p
r
o
ac
h
in
o
r
d
er
to
d
eter
m
in
e
t
h
e
s
i
m
ilar
it
y
b
et
w
ee
n
w
e
b
s
er
v
ices
u
s
i
n
g
t
h
eir
W
SD
L
s
d
escr
ip
tio
n
s
.
First
o
f
all,
t
h
e
y
r
ed
u
ce
t
h
e
s
er
v
ice
to
a
s
et
o
f
o
p
er
atio
n
s
,
o
n
w
h
ic
h
th
e
y
i
m
p
le
m
en
ted
a
m
et
h
o
d
th
at
e
n
ab
led
to
r
eo
r
g
an
ize
th
eir
d
es
cr
ip
tio
n
s
w
it
h
i
n
th
e
W
S
DL
f
i
le
in
o
r
d
er
to
ap
p
ly
NiC
ad
clo
n
e
d
etec
to
r
in
o
r
d
er
to
id
en
tify
f
r
ag
m
e
n
ts
t
h
at
ar
e
v
er
y
s
i
m
ilar
.
T
h
e
NiC
ad
clo
n
e
d
etec
to
r
u
s
es
an
ef
f
icien
t
an
d
s
ca
lab
le
h
y
b
r
i
d
p
ar
s
in
g
an
d
tex
t
co
m
p
ar
is
o
n
tech
n
iq
u
e
b
ased
o
n
th
e
L
o
n
g
est
C
o
m
m
o
n
Su
b
s
e
q
u
e
n
ce
(
L
C
S)
alg
o
r
it
h
m
to
id
en
t
if
y
n
ea
r
-
m
i
s
s
clo
n
es.
W
SDL
is
n
o
t
a
s
o
u
r
ce
co
d
e,
s
o
t
w
o
o
p
er
atio
n
s
m
a
y
ap
p
ea
r
s
i
m
ilar
w
h
e
n
i
n
f
a
ct
th
e
y
ar
e
n
o
t.
Do
u
g
et
al
i
n
[
2
]
s
u
g
g
es
ted
a
clu
s
ter
i
n
g
al
g
o
r
ith
m
t
h
at
g
ath
er
s
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ith
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r
ch
en
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e
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w
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Au
t
h
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[
3
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s
u
g
g
e
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ted
a
tec
h
n
iq
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r
le
x
ical
a
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tr
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th
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d
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all
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t a
l
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ap
p
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in
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SDLs f
ile
s
.
R
as
h
ad
et
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in
[
4
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p
r
o
p
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s
ed
an
ap
p
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ac
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f
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r
m
ea
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k
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[
4
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allo
w
ed
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e
au
th
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s
in
[
5
]
th
e
ad
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p
tio
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o
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f
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r
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A
w
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o
f
d
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ti
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co
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esp
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d
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i
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eb
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an
o
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o
f
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p
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.
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w
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v
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s
h
ip
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d
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o
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co
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f
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m
to
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:
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if
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A
l
s
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s
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m
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d
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ed
in
[
5
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ar
e
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t sig
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i
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ican
t,
as e
x
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m
p
le
t
h
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v
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O
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Fig
u
r
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1
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T
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m
m
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itie
s
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a.
Facilitate
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s
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p
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w
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Fin
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Fig
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R
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RE
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Usi
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etc.
I
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[
6
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th
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au
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s
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to
m
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th
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s
i
m
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[
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p
r
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I
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C
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Sen
s
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p
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tib
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w
it
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T
u
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p
latf
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I
n
[
8
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th
e
a
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o
r
d
escr
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th
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u
s
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o
f
Ser
v
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Or
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A
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ch
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c
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.
T
h
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au
th
o
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s
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f
[
9
]
p
r
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p
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s
ed
a
f
ac
e
r
ec
o
g
n
itio
n
s
ec
u
r
it
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s
y
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m
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s
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R
asp
b
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r
y
P
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w
h
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ch
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n
b
e
co
n
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ted
to
th
e
s
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ar
t
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o
m
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s
y
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te
m
.
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i
g
en
f
ac
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as
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s
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e
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t
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r
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ex
tr
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tio
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,
w
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ile
P
r
in
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C
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An
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ith
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h
en
co
n
n
ec
ted
to
th
e
r
ela
y
cir
cu
it,
i
n
w
h
ic
h
it
w
il
l
lo
ck
o
r
u
n
lo
ck
t
h
e
m
a
g
n
e
ti
c
lo
ck
p
lace
d
at
th
e
d
o
o
r
.
R
esu
lt
s
s
h
o
w
ed
t
h
e
ef
f
ec
tiv
e
n
e
s
s
o
f
o
u
r
p
r
o
p
o
s
ed
s
y
s
te
m
,
i
n
w
h
ic
h
w
e
o
b
tain
a
r
o
u
n
d
9
0
%
f
ac
e
r
ec
o
g
n
itio
n
ac
cu
r
ac
y
.
W
e
also
p
r
o
p
o
s
ed
a
h
ier
ar
ch
ical
i
m
ag
e
p
r
o
ce
s
s
in
g
ap
p
r
o
ac
h
to
r
e
d
u
ce
th
e
tr
ain
i
n
g
o
r
test
in
g
ti
m
e
w
h
ile
i
m
p
r
o
v
in
g
th
e
r
ec
o
g
n
itio
n
ac
cu
r
ac
y
.
T
h
e
w
o
r
k
d
o
n
e
in
[
1
0
]
d
is
cu
s
s
es
th
e
ex
i
s
ti
n
g
r
o
u
ti
n
g
tr
en
d
in
I
o
T
,
v
is
io
n
a
n
d
c
u
r
r
en
t
ch
alle
n
g
e
s
.
T
h
is
p
ap
er
also
elab
o
r
ates
th
e
tech
n
o
lo
g
ie
s
an
d
d
o
m
ain
s
to
d
r
iv
e
th
is
f
ield
f
o
r
f
u
tu
r
e
p
er
s
p
ec
tiv
es.
T
h
e
p
ap
e
r
co
n
clu
d
es
w
i
th
d
is
cu
s
s
io
n
a
n
d
m
ain
p
o
i
n
ts
f
o
r
n
e
w
r
e
s
ea
r
ch
er
s
in
ter
m
s
o
f
r
o
u
t
in
g
to
u
n
d
er
s
ta
n
d
ab
o
u
t
cu
r
r
en
t si
tu
at
io
n
i
n
I
o
t
.
I
n
[
1
1
]
au
t
h
o
r
s
s
h
o
w
s
w
h
at
th
e
f
u
tu
r
e
o
f
th
e
I
n
ter
n
et
i
s
,
th
ier
r
esear
ch
ca
r
r
ies
o
u
t
a
q
u
alitati
v
e
p
r
o
s
p
ec
tiv
e
an
al
y
s
is
o
n
p
r
o
j
e
cts
a
n
d
in
v
e
s
tig
a
tio
n
s
i
n
w
h
ic
h
t
h
e
s
cien
tific
co
m
m
u
n
it
y
i
s
cu
r
r
en
tl
y
w
o
r
k
i
n
g
,
th
e
i
n
f
o
r
m
atio
n
i
s
an
al
y
ze
d
,
an
d
th
e
h
ig
h
li
g
h
ted
to
p
ics
ar
e
s
h
o
w
n
.
T
h
e
p
r
in
cip
le
ai
m
o
f
t
h
e
w
o
r
k
d
o
n
e
i
n
[
1
2
]
is
to
aid
th
e
v
i
s
u
a
ll
y
ch
al
len
g
ed
h
u
m
a
n
b
ein
g
s
w
it
h
a
b
ette
r
n
av
i
g
atio
n
d
ev
ice.
T
h
is
clev
er
s
tr
o
llin
g
s
t
ick
i
s
g
r
ea
ter
s
tate
-
of
-
t
h
e
-
ar
t d
ev
ice
w
it
h
m
an
y
e
m
b
ed
d
ed
f
ea
t
u
r
es.
I
n
[
1
3
]
,
th
r
ee
m
ain
p
o
i
n
ts
t
h
at
ar
e
co
n
ce
n
tr
ated
1
)
Desig
n
a
r
o
b
o
t
w
h
ic
h
is
v
e
h
icle
-
m
o
u
n
t
ed
s
en
s
o
r
s
th
at
ca
p
ab
le
o
f
ca
r
r
ies
t
h
e
s
e
n
s
o
r
s
o
f
th
e
m
eta
l
an
d
o
b
s
tacle
;
2
)
C
o
n
tr
o
l
an
d
m
a
n
a
g
e
m
e
n
t
s
y
s
te
m
w
ir
eles
s
l
y
b
y
a
co
m
p
u
ter
-
b
ased
to
co
m
m
an
d
t
h
e
r
o
b
o
t
f
u
n
ctio
n
s
b
y
s
ev
er
al
s
ets
o
f
u
s
er
’
s
r
u
les
a
n
d
m
an
a
g
e
t
h
e
r
o
b
o
t
in
s
tr
u
ctio
n
s
;
a
n
d
3
)
C
o
n
d
u
ct
an
i
n
te
g
r
ated
s
y
s
te
m
t
h
at
ac
h
i
ev
in
g
n
a
v
i
g
ated
d
ata
v
ia
m
eta
l
d
etec
to
r
b
ased
o
n
o
n
lin
e
s
tr
u
c
tu
r
ed
q
u
er
y
lan
g
u
ag
e
d
atab
ase
r
eg
i
s
tr
y
.
Als
o
,
d
is
cu
s
s
ed
a
co
m
p
ar
is
o
n
o
f
t
h
e
p
r
ev
io
u
s
d
etec
to
r
s
y
s
te
m
s
an
d
h
i
g
h
li
g
h
t
s
o
n
s
e
v
er
al
m
er
it
s
.
T
h
e
p
r
o
p
o
s
ed
s
y
s
t
e
m
ca
p
ab
le
o
f
f
u
ll
y
co
n
tr
o
l
th
e
r
o
b
o
t
also
,
s
et
th
e
r
o
b
o
t
o
p
er
ato
r
p
e
r
m
i
s
s
io
n
s
a
n
d
r
u
les,
s
to
r
ed
an
d
ar
ch
iv
ed
th
e
n
av
i
g
ated
r
esu
l
ts
an
d
p
r
in
te
d
r
ep
o
r
ts
an
d
s
to
r
ed
in
an
i
n
d
ep
en
d
en
t d
atab
ase.
3.
P
RO
P
O
SE
D
AP
P
RO
ACH
3
.
1
.
Sy
nt
a
ct
ic
a
nd
s
e
m
a
ntic
a
na
ly
s
is
Sin
ce
it
i
s
d
if
f
ic
u
lt,
ev
e
n
i
m
p
o
s
s
ib
le
to
ac
ce
s
s
th
eir
s
o
u
r
ce
co
d
es,
s
tu
d
y
i
n
g
t
h
e
s
i
m
ilar
i
t
y
o
f
w
eb
s
er
v
ices
o
p
er
atio
n
s
co
n
s
is
t
s
in
s
tu
d
y
i
n
g
th
eir
d
escr
ip
ti
o
n
s
ex
tr
ac
ted
f
r
o
m
W
SD
L
s
f
iles
.
A
s
i
m
ilar
it
y
a
n
al
y
s
is
,
in
t
h
i
s
ca
s
e,
i
m
p
o
s
es
m
et
h
o
d
s
o
f
au
to
m
atic
p
r
o
ce
s
s
i
n
g
o
f
n
atu
r
al
la
n
g
u
a
g
e.
T
w
o
t
y
p
es
o
f
a
n
al
y
s
is
ca
n
b
e
co
n
s
id
er
ed
:
a
s
y
n
tactic
an
d
a
s
e
m
an
t
ic
a
n
al
y
s
is
.
T
h
ese
r
et
u
r
n
s
i
m
ilar
it
y
m
ea
s
u
r
es
b
et
wee
n
[
0
,
1
]
,
w
h
er
e
0
m
ea
n
s
d
is
s
i
m
ilar
an
d
1
m
ea
n
s
s
i
m
ilar
.
a)
S
y
n
tactic
a
n
al
y
s
i
s
is
b
a
s
ed
o
n
t
h
e
s
i
m
ilar
it
y
o
f
th
e
s
tr
u
ct
u
r
es
o
f
th
e
c
h
ai
n
s
to
b
e
co
m
p
ar
ed
.
Sev
er
al
m
et
h
o
d
s
ex
is
t
o
f
w
h
ic
h
w
e
ch
o
s
e
to
u
s
e
J
ar
o
-
W
in
k
ler
b
ec
au
s
e
it
is
t
h
e
b
est
-
k
n
o
w
n
alg
o
r
ith
m
an
d
ac
co
r
d
in
g
to
[
5
]
it is
th
e
m
o
s
t
p
o
w
er
f
u
l a
n
d
f
aste
s
t
m
ea
s
u
r
e.
b)
Se
m
a
n
tic
a
n
al
y
s
i
s
i
s
b
ased
o
n
t
h
e
r
ese
m
b
lan
ce
o
f
t
h
e
s
e
m
an
tic
le
v
el.
Se
v
er
al
m
et
h
o
d
s
ex
is
t,
o
f
w
h
ic
h
Wu
-
P
al
m
er
w
a
s
ch
o
s
e
n
b
ec
a
u
s
e
it
h
as
t
h
e
ad
v
a
n
ta
g
e
o
f
b
ein
g
s
i
m
p
ler
to
i
m
p
le
m
en
t
a
n
d
g
i
v
es
b
etter
r
esu
lt
s
ac
co
r
d
in
g
to
[
5
].
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
9
,
No
.
2
,
A
p
r
il 2
0
1
9
:
1
4
3
7
-
1444
1440
3
.
2
.
H
un
g
a
ri
a
n
m
a
x
i
m
u
m
m
a
t
chi
ng
T
h
e
Hu
n
g
ar
ia
n
m
et
h
o
d
,
o
r
Ku
h
n
-
M
u
n
k
r
es
'
al
g
o
r
ith
m
,
is
an
alg
o
r
ith
m
o
f
co
m
b
i
n
ato
r
ial
o
p
ti
m
izat
io
n
th
at
s
o
lv
e
s
th
e
as
s
ig
n
m
en
t
is
s
u
e.
I
t
is
,
th
er
ef
o
r
e,
an
alg
o
r
ith
m
t
h
at
allo
w
s
f
in
d
i
n
g
a
p
er
f
ec
t
co
u
p
lin
g
o
f
m
ax
i
m
u
m
w
ei
g
h
t
in
a
b
ip
ar
tit
e
g
r
ap
h
.
A
g
r
a
p
h
ca
n
b
e
r
ep
r
e
s
en
ted
b
y
a
m
atr
ix
w
h
o
s
e
ce
ll
s
ar
e
co
n
s
id
er
ed
to
b
e
th
e
ed
g
e
s
o
f
th
e
g
r
ap
h
.
A
m
atc
h
is
a
s
u
b
s
et
o
f
ed
g
e
s
w
h
er
e
t
w
o
ed
g
e
s
i
n
t
h
e
s
u
b
s
et
ca
n
n
o
t
s
h
ar
e
a
co
m
m
o
n
v
er
tex
.
I
n
o
th
er
w
o
r
d
s
,
it
is
a
s
et
o
f
v
al
u
es
in
th
e
m
a
tr
ix
w
h
er
e
t
w
o
v
alu
e
s
ca
n
n
ev
er
b
e
in
t
h
e
s
a
m
e
l
in
e
o
r
co
lu
m
n
.
3
.
3
.
Str
uct
ure
o
f
WSDL
F
I
L
E
A
W
SD
L
f
ile
is
an
XM
L
f
il
e.
I
t
d
escr
ib
es
th
e
f
u
n
ctio
n
al
i
t
y
o
f
a
w
eb
s
er
v
ice.
T
h
r
o
u
g
h
th
is
f
ile,
w
e
h
av
e
ac
ce
s
s
to
th
e
f
o
llo
w
i
n
g
ele
m
e
n
t
s
:
a)
T
h
e
n
a
m
e
an
d
t
h
e
d
escr
ip
tio
n
o
f
th
e
w
eb
s
er
v
ice.
b)
T
h
e
n
a
m
e
an
d
t
h
e
d
escr
ip
tio
n
o
f
th
e
o
p
er
atio
n
s
(
co
n
tai
n
i
n
g
t
h
e
in
p
u
ts
a
n
d
o
u
tp
u
t
s
m
e
s
s
a
g
e
s
)
.
c)
T
h
e
n
a
m
e
an
d
t
h
e
d
escr
ip
tio
n
o
f
th
e
m
es
s
ag
e
s
(
in
p
u
ts
/o
u
tp
u
t
s
)
an
d
th
eir
as
s
o
ciate
d
p
ar
am
e
ter
s
.
d)
T
h
e
n
a
m
e
an
d
t
h
e
d
escr
ip
tio
n
o
f
th
e
p
ar
a
m
eter
s
t
h
at
ca
n
b
e
o
f
a
s
i
m
p
le
o
r
a
co
m
p
le
x
t
y
p
e.
3
.
4
.
Si
m
ila
rit
y
pro
ce
s
s
bet
w
ee
n o
pera
t
io
ns
I
n
o
u
r
w
o
r
k
,
t
h
e
s
t
u
d
y
o
f
s
i
m
il
ar
it
y
b
et
w
ee
n
o
p
er
atio
n
s
co
n
s
i
s
ts
i
n
:
a)
E
x
tr
ac
tin
g
t
h
e
n
ec
e
s
s
ar
y
ele
m
en
ts
f
r
o
m
t
h
e
W
SD
L
s
f
iles
.
b)
T
r
an
s
f
o
r
m
i
n
g
co
m
p
le
x
p
ar
a
m
eter
s
in
to
s
i
m
p
le
p
ar
a
m
eter
s
.
c)
E
v
alu
a
tin
g
t
h
e
s
i
m
ilar
it
y
b
et
wee
n
th
e
p
ar
a
m
e
ter
s
o
f
t
h
e
co
m
p
ar
ed
o
p
er
atio
n
s
.
d)
Dete
r
m
i
n
i
n
g
t
h
e
r
elatio
n
s
h
ip
b
et
w
ee
n
t
h
e
co
m
p
ar
ed
o
p
er
atio
n
s
.
e)
Gr
o
u
p
in
g
s
i
m
ilar
o
p
er
atio
n
s
.
3
.
4
.
1
.
E
x
t
ra
ct
t
he
nece
s
s
a
ry
ele
m
ent
s
f
ro
m
t
he
WSD
L
S f
i
les
T
h
e
elem
e
n
t
s
to
ex
tr
ac
t a
r
e:
a)
Ser
v
ice
Na
m
e:
in
f
o
r
m
atio
n
th
at
g
iv
e
s
th
e
s
o
u
r
ce
o
f
th
e
o
p
er
atio
n
.
(
T
h
e
X
Op
er
ati
o
n
is
o
b
tain
ed
f
r
o
m
t
h
e
Y
s
er
v
ice)
.
b)
Op
er
atio
n
Na
m
e:
i
n
f
o
r
m
atio
n
th
at
w
ill co
n
s
ti
tu
te
t
h
e
cl
u
s
ter
s
an
d
th
at
i
n
ter
v
e
n
es i
n
t
h
e
s
i
m
i
lar
it
y
s
t
u
d
y
.
c)
Ou
tp
u
ts
(
m
es
s
a
g
e
an
d
p
ar
am
e
ter
s
id
en
tifie
r
s
’
a
n
d
th
eir
ass
o
ciate
d
ty
p
es):
i
n
f
o
r
m
atio
n
t
h
a
t
in
ter
v
e
n
es
i
n
th
e
s
i
m
ilar
it
y
s
tu
d
y
.
3
.
4
.
2
.
T
ra
ns
f
o
r
m
co
m
ple
x
p
a
ra
m
et
er
s
into
s
i
m
ple pa
ra
m
et
er
s
T
h
e
p
ar
am
eter
s
o
f
an
o
p
er
atio
n
ca
n
b
e
s
i
m
p
le
o
r
co
m
p
lex
.
A
s
i
m
p
le
p
ar
am
e
ter
is
d
escr
ib
ed
b
y
its
n
a
m
e
a
n
d
t
y
p
e.
A
co
m
p
lex
p
ar
a
m
eter
d
escr
ib
es
a
s
tr
u
ct
u
r
e
co
m
p
o
s
ed
o
f
d
if
f
er
en
t
ele
m
en
ts
.
T
h
e
s
t
u
d
y
o
f
s
i
m
ilar
it
y
o
n
th
e
latter
r
eq
u
ir
es
its
tr
an
s
f
o
r
m
atio
n
i
n
to
s
i
m
p
le
p
ar
am
eter
s
b
y
a
g
g
r
e
g
atio
n
o
f
t
h
e
id
en
ti
f
ier
s
f
r
o
m
t
h
e
s
u
b
-
ele
m
e
n
ts
w
i
th
t
h
eir
p
ar
en
t.
3
.
4
.
3
.
E
v
a
lua
t
e
t
h
e
s
i
m
ila
rit
y
bet
w
ee
n t
he
pa
ra
m
et
er
s
o
f
t
he
co
m
pa
re
d o
pera
t
io
ns
a.
Def
i
n
itio
n
An
y
o
p
er
atio
n
tak
e
s
a
s
e
t
o
f
i
n
p
u
t
p
ar
a
m
e
ter
s
a
n
d
p
r
o
d
u
ce
s
a
s
et
o
f
o
u
tp
u
t
p
ar
a
m
eter
s
,
wh
atev
er
t
h
e
r
elatio
n
s
h
ip
(
in
ter
s
ec
tio
n
,
d
if
f
er
en
ce
,
eq
u
alit
y
,
o
r
in
clu
s
io
n
)
th
at
m
a
y
co
n
n
ec
t
t
h
e
in
p
u
ts
o
f
t
w
o
g
i
v
e
n
o
p
er
atio
n
s
.
A
clie
n
t
is
in
ter
est
ed
in
t
h
e
r
es
u
lts
th
e
y
p
r
o
d
u
ce
.
T
h
e
r
elatio
n
s
h
ip
b
et
w
ee
n
o
p
e
r
atio
n
s
d
ep
en
d
s
o
n
th
e
co
n
n
ec
tio
n
b
et
w
ee
n
th
eir
r
esp
ec
tiv
e
o
u
tp
u
t
s
.
Hen
ce
,
t
h
e
id
ea
o
f
g
r
o
u
p
i
n
g
o
p
er
atio
n
s
t
h
at
p
r
o
d
u
ce
th
e
s
a
m
e
o
u
tp
u
t (
s
a
m
e
r
es
u
lts
)
.
b.
Si
m
i
lar
it
y
p
r
o
ce
s
s
L
et
O1
an
d
O2
b
e
t
w
o
o
p
er
ati
o
n
s
e
x
tr
ac
ted
f
r
o
m
d
i
f
f
er
en
t
s
er
v
ices
S1
a
n
d
S2
.
L
et
{p
ar
a
m
eter
s
}
an
d
{p
ar
am
eter
s
'
}
r
esp
ec
tiv
el
y
b
e
th
eir
o
u
tp
u
t
p
ar
a
m
eter
s
.
A
p
ar
a
m
eter
is
d
ef
i
n
ed
b
y
an
id
en
ti
f
ier
an
d
a
ty
p
e
th
a
t
ca
n
b
e
s
i
m
p
le
o
r
co
m
p
lex
.
I
n
th
i
s
w
o
r
k
,
ea
ch
id
en
ti
f
ier
w
il
l
b
e
co
n
ca
ten
ated
w
it
h
th
e
id
en
ti
f
ier
o
f
th
e
o
p
er
atio
n
an
d
th
at
o
f
th
e
o
u
tp
u
t
m
es
s
ag
e.
T
h
e
s
tu
d
y
o
f
s
i
m
ilar
it
y
co
n
s
i
s
ts
o
f
:
1
.
B
u
ild
in
g
a
m
a
tr
ix
o
f
s
i
m
ilar
it
y
w
h
o
s
e
h
o
r
izo
n
tal
li
n
es
r
ef
er
to
th
e
p
ar
a
m
eter
s
o
f
th
e
f
ir
s
t
o
p
er
atio
n
an
d
th
e
co
lu
m
n
s
r
ef
er
to
th
e
p
ar
am
eter
s
o
f
t
h
e
s
ec
o
n
d
o
p
er
atio
n
T
ab
le
3
.
T
h
e
f
o
llo
w
i
n
g
f
o
r
m
u
la
d
eter
m
i
n
es
th
e
v
al
u
e
s
o
f
th
is
m
atr
ix
:
Si
m
_
P
ar
s
=
(
Si
m
_
id
e
n
t (
)
+Si
m
_
T
y
p
es (
)
)
/2
.
(
1
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
A
n
ew a
p
p
r
o
a
c
h
to
g
a
th
er si
mila
r
o
p
era
tio
n
s
ex
tr
a
cted
fr
o
m
w
eb
s
ervices
(
R
ek
k
al
s
ar
a
)
1441
w
h
er
e
:
(
1
)
Si
m
_
P
ar
s
(
)
:
is
t
h
e
m
a
in
f
u
n
c
tio
n
,
w
h
ich
ca
lc
u
l
ate
s
t
h
e
s
i
m
ilar
it
y
b
et
w
ee
n
p
ar
a
m
eter
s
.
T
h
is
m
ea
s
u
r
e
i
s
in
cl
u
d
ed
b
et
w
ee
n
0
an
d
1
.
(
2
)
Si
m
_
id
en
t
(
)
:
is
th
e
f
u
n
ctio
n
th
at
m
ea
s
u
r
es
t
h
e
s
i
m
i
lar
it
y
b
et
w
ee
n
t
h
e
id
en
tifie
r
s
o
f
th
e
o
u
tp
u
t
p
ar
am
eter
s
.
T
h
is
s
i
m
ilar
it
y
m
e
asu
r
e
co
n
s
is
t
s
o
f
:
a.
C
h
o
p
p
in
g
id
en
ti
f
ier
s
i
n
to
w
o
r
d
s
.
b.
R
e
m
o
v
e
s
to
p
w
o
r
d
s
,
as
w
ell
a
s
s
p
ec
ial
ch
ar
ac
ter
s
a
n
d
n
u
m
b
er
s
.
c.
E
x
ten
d
i
n
g
th
e
ab
b
r
ev
iatio
n
s
.
d.
L
e
m
m
atizi
n
g
t
h
e
s
eg
m
e
n
ts
(
u
s
e
t
h
e
s
in
g
u
lar
,
t
h
e
in
f
i
n
iti
v
e
f
o
r
v
er
b
s
,
th
e
m
asc
u
li
n
e
f
o
r
a
d
j
ec
tiv
es,
etc.
)
.
e.
B
u
ild
in
g
a
s
i
m
ilar
i
t
y
m
atr
i
x
b
et
w
ee
n
t
h
e
w
o
r
d
s
o
f
t
w
o
d
i
f
f
e
r
en
t
id
en
ti
f
ier
s
,
w
h
er
e
co
lu
m
n
s
r
ep
r
esen
t
th
e
w
o
r
d
s
o
f
t
h
e
f
ir
s
t
id
en
t
if
i
er
an
d
th
e
l
i
n
es
t
h
o
s
e
o
f
t
h
e
s
ec
o
n
d
,
T
ab
le
1
.
T
h
e
m
atr
ix
v
alu
e
s
ar
e
d
eter
m
in
ed
ac
co
r
d
in
g
to
a
s
em
an
tic
an
al
y
s
i
s
(
W
U
-
P
AL
M
E
R
)
if
th
e
t
w
o
w
o
r
d
s
ex
i
s
t
in
th
e
W
o
r
d
-
n
et,
if
n
o
t,
b
y
u
s
in
g
a
s
y
n
tactic
an
al
y
s
is
(
J
ar
o
-
W
in
k
ler
)
.
f.
C
alcu
late
th
e
d
eg
r
ee
o
f
s
i
m
il
ar
it
y
b
et
w
ee
n
th
e
id
en
t
if
ier
s
,
b
y
ca
lc
u
lati
n
g
t
h
e
av
er
ag
e
o
f
m
a
x
i
m
u
m
s
co
r
es (
th
e
Hu
n
g
ar
ian
m
et
h
o
d
)
.
T
ab
le
1
.
T
a
b
le
o
f
Si
m
ilar
it
y
b
et
w
ee
n
T
w
o
I
d
en
ti
f
ier
s
I
d
e
n
t
i
f
i
e
r
1
I
d
e
n
t
i
f
i
e
r
2
W
o
r
d
1
W
o
r
d
2
W
o
r
d
3
W
o
r
d
’
1
Wu
-
P
a
l
me
r
/
Jaro
-
W
i
n
k
l
e
r
Wu
-
P
a
l
me
r
/
Jaro
-
W
i
n
k
l
e
r
Wu
-
P
a
l
me
r
/
Jaro
-
W
i
n
k
l
e
r
W
o
r
d
’
2
Wu
-
P
a
l
me
r
/
Jaro
-
W
i
n
k
l
e
r
Wu
-
P
a
l
me
r
/
Jaro
-
W
i
n
k
l
e
r
Wu
-
P
a
l
me
r
/
Jaro
-
W
i
n
k
l
e
r
(
3
)
Si
m
_
T
y
p
es
(
)
:
is
th
e
f
u
n
ct
io
n
th
at
m
ea
s
u
r
es
th
e
s
i
m
ilar
it
y
b
et
w
ee
n
th
e
t
y
p
es
o
f
p
ar
a
m
e
t
er
s
.
L
et
T
b
e
a
t
y
p
e:
i
n
teg
er
,
r
ea
l,
s
tr
in
g
,
d
ate
o
r
b
o
o
lean
.
[
1
4
]
an
d
[
15
]
p
r
o
p
o
s
e
T
ab
le
2
,
w
h
ic
h
d
eter
m
i
n
es
th
e
s
i
m
ilar
it
y
b
et
w
ee
n
th
e
d
i
f
f
er
e
n
t p
o
s
s
ib
le
t
y
p
es:
T
ab
le
2
.
Sim
i
lar
it
y
b
et
w
ee
n
T
y
p
e
s
[
6
]
I
n
t
e
g
e
r
R
e
a
l
S
t
r
i
n
g
D
a
t
e
B
o
o
l
e
a
n
I
n
t
e
g
e
r
1
.
0
0
.
5
0
.
3
0
.
1
0
.
1
R
e
a
l
1
.
0
1
.
0
0
.
1
0
.
0
0
.
1
S
t
r
i
n
g
0
.
7
0
.
7
1
.
0
0
.
8
0
.
3
D
a
t
e
0
.
1
0
.
0
0
.
1
1
.
0
0
.
0
B
o
o
l
e
a
n
0
.
1
0
.
0
0
.
1
0
.
0
1
.
0
T
h
e
s
i
m
ilar
it
y
b
et
w
ee
n
t
w
o
g
i
v
en
t
y
p
es o
f
p
ar
a
m
e
ter
s
is
ca
l
cu
lated
b
y
th
e
f
o
llo
w
i
n
g
f
o
r
m
u
la:
Si
m
_
T
y
p
es=
m
in
(
Si
m
(
T
1
,
T
2
)
,
Si
m
(
T
2
,
T
1
)
)
.
(
2
)
w
h
er
e
:
T
1
is
th
e
t
y
p
e
o
f
t
h
e
f
ir
s
t p
ar
am
eter
an
d
T
2
is
th
e
t
y
p
e
o
f
t
h
e
o
th
er
.
2
.
A
p
p
l
y
in
g
th
e
H
u
n
g
ar
ian
m
et
h
o
d
o
n
th
e
s
im
ilar
it
y
m
atr
i
x
o
f
p
ar
am
eter
s
in
o
r
d
er
to
o
b
tain
th
e
m
ax
i
m
u
m
s
co
r
es (
w
it
h
o
u
t c
alcu
lat
in
g
t
h
e
ir
av
er
ag
es)
s
ee
T
ab
le
3.
T
ab
le
3
.
Sim
i
lar
it
y
b
e
t
w
ee
n
P
ar
a
m
eter
s
O1
O2
P
a
r
a
me
t
e
r
1
P
a
r
a
me
t
e
r
2
P
a
r
a
me
t
e
r
3
P
a
r
a
me
t
e
r
’
1
S
i
m_
P
a
r
s ()
S
i
m_
P
a
r
s ()
S
i
m_
P
a
r
s ()
P
a
r
a
me
t
e
r
’
2
S
i
m_
P
a
r
s ()
S
i
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c.
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esh
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i
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i
m
ilar
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t
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r
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at
t
h
e
m
o
r
e
t
h
e
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a
lu
e
o
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tain
ed
te
n
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s
to
1
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th
e
m
o
r
e
th
e
co
m
p
ar
ed
p
ar
a
m
eter
s
ar
e
s
i
m
ilar
.
Fro
m
a
th
r
es
h
o
ld
eq
u
al
to
0
.
7
th
e
p
ar
a
m
eter
s
ar
e
co
n
s
id
er
ed
s
i
m
ilar
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
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3
.
4
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Det
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ini
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la
t
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w
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n t
he
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pa
re
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ns
B
ased
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ax
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r
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ilar
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lc
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latio
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n
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t
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o
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s
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ip
s
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et
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e
en
o
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er
atio
n
s
:
a.
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m
i
lar
it
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:
I
f
t
w
o
o
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er
atio
n
s
h
a
v
e
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h
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m
e
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ilar
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ilar
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m
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y
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h
e
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ce
s
s
:
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n
o
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atio
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O1
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s
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m
ilar
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ess
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ith
O2
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m
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ar
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ter
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ig
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e
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ilar
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alu
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ed
ar
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d
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ich
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ea
n
s
th
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t
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h
e
O2
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u
n
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n
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ities
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n
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e
r
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lized
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y
O1
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en
t
h
o
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g
h
th
e
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r
o
d
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ce
s
m
o
r
e
p
ar
am
eter
s
n
o
t r
eq
u
ested
.
3
.
4
.
5
.
G
ro
up
ing
s
i
m
i
la
r
o
pera
t
io
ns
A
g
r
o
u
p
in
g
ac
co
r
d
in
g
to
th
e
d
eter
m
i
n
ed
s
i
m
ilar
it
y
r
elat
io
n
ca
n
b
e
co
n
s
id
er
ed
.
T
h
u
s
c
lu
s
ter
s
o
f
s
i
m
ilar
o
p
er
atio
n
s
ar
e
co
n
s
t
itu
ted
,
co
n
n
ec
ted
b
y
ar
cs to
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u
s
t
er
s
g
r
o
u
p
in
g
i
n
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u
d
ed
o
p
er
atio
n
s
.
T
h
e
o
r
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tatio
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o
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th
e
ar
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e
x
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r
ess
es
t
h
e
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m
ila
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h
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ce
s
s
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n
d
its
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n
ta
tio
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in
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icate
s
t
h
e
d
ir
ec
tio
n
o
f
in
cl
u
s
io
n
Fi
g
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r
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2
.
So
,
if
th
e
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t
r
eq
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es
t
s
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o
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atio
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at
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n
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atis
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ied
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y
{O1
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,
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w
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e
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etu
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b
u
t th
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s
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t
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ite
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u
r
e
2
.
T
h
e
r
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lt o
f
th
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s
i
m
i
lar
it
y
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t
u
d
y
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et
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o
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T
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XP
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R
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ices
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ield
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m
m
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s
,
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an
s
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t
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f
in
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ce
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ea
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4
.
1
.
I
m
ple
m
e
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T
h
e
ap
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2
.
Resul
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s
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ess
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ent
T
h
e
to
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as
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ee
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n
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h
1
0
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2
4
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3
9
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s
a
m
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o
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h
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ac
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t o
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m
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al
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Sin
ce
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t
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ated
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e
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t
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ts
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est 0
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4
s
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m
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ize
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a.
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tio
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o
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ec
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s
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r
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g
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m
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n
i
ca
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io
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an
d
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an
s
p
o
r
t
W
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iles
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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t J
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&
C
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2)
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e
m
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e
s
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ilar
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et
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ee
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t
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o
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ar
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o
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s
(
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ield
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:
th
e
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lcu
lated
o
n
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y
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u
r
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l “
C
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t n
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m
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g
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h
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r
o
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th
e
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n
d
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n
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ir
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th
e
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o
m
o
g
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izatio
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f
th
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ed
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p
s
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u
r
e
5
.
R
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d
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d
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x
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5.
CO
NCLU
SI
O
N
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e
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e
s
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g
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ested
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.
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ir
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O
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ap
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tic
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ar
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as a
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t i
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t o
n
t
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e
q
u
a
lit
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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2
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8
8
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8708
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&
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p
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g
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Vo
l.
9
,
No
.
2
,
A
p
r
il 2
0
1
9
:
1
4
3
7
-
1444
1444
RE
F
E
R
E
NC
E
S
[1
]
Do
u
g
las
M
a
rti
n
,
Ja
m
e
sR,
Co
rd
y
.,
"
A
n
a
l
y
z
in
g
W
e
b
S
e
r
v
ice
S
i
m
il
a
r
it
y
Us
in
g
Co
n
tex
tu
a
l
Clo
n
e
s
,
"
in
IW
S
C
1
1
,
M
a
y
2
3
,
2
0
1
1
.
[2
]
Do
n
g
,
X
.
,
Ha
lev
y
,
A
.
,
M
a
d
h
a
v
e
n
,
J.,
Ne
m
e
s,
E.
a
n
d
Z
h
a
n
g
,
J.
,
"
S
im
il
iraty
S
e
a
u
rc
h
e
f
o
r
W
e
b
S
e
rv
ice
s
,
"
in
Pro
c
e
e
d
i
n
g
s
o
f
t
h
e
3
0
th
VL
DB
c
o
n
fer
e
n
c
e
,
T
o
ro
n
t
o
,
Ca
n
a
d
a
,
p
p
.
372
-
3
8
3
,
A
u
g
u
st 2
0
0
4
.
[3
]
Na
talia Ko
k
a
sh
,
"
A
Co
m
p
a
ra
iso
n
o
f
W
e
b
S
e
rv
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In
ter
f
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c
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S
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m
il
a
r
it
y
M
e
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su
re
s
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T
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S
,
p
p
.
2
2
0
-
2
3
1
,
2
0
0
6
.
[4
]
T
Ra
c
h
a
d
,
J
Bo
u
tah
a
r,
S
.
El
g
h
a
z
i
.
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A
N
e
w
E
ff
icie
n
t
M
e
th
o
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f
o
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Ca
lcu
latin
g
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im
il
a
rit
y
Be
t
we
e
n
W
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S
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rv
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e
s
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o
u
rn
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l
o
f
A
d
v
a
n
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e
d
C
o
mp
u
ter
S
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v
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l.
5
(
8
)
,
p
p
.
6
0
-
6
7
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2
0
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4
.
[5
]
Ja
o
u
a
d
Bo
u
tah
a
r,
T
a
o
u
f
ik
Ra
c
h
a
d
,
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o
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h
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il
El
h
o
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ss
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in
i
"
A
Ne
w
Eff
icie
n
t
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tch
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s
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u
b
sti
tu
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o
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rn
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ter
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e
s
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l.
1
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p
2
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.
[6
]
Ok
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a
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m
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k
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o
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b
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tu
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CAL
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0
1
4
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,
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ra
n
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e
,
2
0
1
4
.
[7
]
F
u
lv
io
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o
rn
o
,
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e
o
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M
o
n
tan
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ro
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ig
li
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a
n
d
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stro
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n
n
i
,
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m
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rtBi
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Cro
w
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latf
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Cit
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ir
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ll
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ti
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n
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ter
n
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ti
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l
J
o
u
rn
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l
o
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lec
trica
l
a
n
d
Co
m
p
u
t
e
r E
n
g
in
e
e
rin
g
(
IJ
ECE
),
v
o
l.
7
(
6
)
,
p
p
.
3
6
0
2
-
3
6
1
2
,
De
c
2
0
1
7
.
[8
]
Eri
c
k
F
e
rn
a
n
d
o
,
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tt
y
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h
a
y
a
n
i.
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a
n
d
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p
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tan
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iag
ian
,
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rist
T
o
u
rian
o
,
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n
a
l
y
sis
o
f
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c
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rit
y
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d
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e
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o
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in
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e
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n
ted
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it
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tu
re
(S
OA
)
a
n
d
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ta
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teg
ra
ti
o
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,
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o
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e
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in
g
o
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ter
n
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t
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l
Co
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fer
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n
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e
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n
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e
c
trica
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rin
g
,
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mp
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ter
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c
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c
e
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n
d
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f
o
rm
a
ti
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s
(
EE
CS
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2
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k
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rta,
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d
o
n
e
sia
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p
p
.
20
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21
,
2
0
1
4
.
[9
]
T
e
d
d
y
S
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ry
a
G
u
n
a
w
a
n
,
M
u
h
a
m
m
a
d
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m
d
a
n
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sa
n
Ga
n
i,
F
a
ra
h
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a
n
a
A
b
d
u
l
Ra
h
m
a
n
,
M
ira
Ka
rti
w
i,
"
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v
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lo
p
m
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F
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h
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n
c
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m
e
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t
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f
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m
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rt
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o
m
e
S
y
st
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m
,
"
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d
o
n
e
sia
n
J
o
u
rn
a
l
o
f
El
e
c
trica
l
En
g
i
n
e
e
rin
g
a
n
d
I
n
fo
rm
a
ti
c
s (
IJ
EE
I),
v
o
l.
5
(
4
)
,
p
p
.
3
1
7
-
3
2
5
,
De
c
2
0
1
7
.
[1
0
]
Ja
m
m
e
l
M
o
n
a
,
"
Da
ta
Co
m
m
u
n
ica
ti
o
n
in
I
n
tern
e
t
o
f
T
h
in
g
s:
V
isi
o
n
,
Ch
a
ll
e
n
g
e
s
a
n
d
F
u
t
u
re
Dire
c
ti
o
n
,
"
T
EL
KOM
NIKA
(
T
e
lec
o
mm
u
n
ica
t
io
n
,
Co
mp
u
ti
n
g
,
El
e
c
tro
n
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a
n
d
Co
n
tro
l)
,
v
o
l
.
1
6
(
5
)
,
p
p
.
2
0
5
7
-
2
0
6
2
,
Oc
t
2
0
1
8
.
[1
1
]
Je
sú
s
A
lv
a
re
z
-
C
e
d
il
lo
,
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iza
b
e
th
A
c
o
sta
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o
n
z
a
g
a
,
M
a
rio
A
g
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il
a
r
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e
rn
á
n
d
e
z
,
P
a
tri
c
ia
P
é
re
z
-
Ro
m
e
ro
,
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In
tern
e
t
P
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o
sp
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c
ti
v
e
S
tu
d
y
"
,
Bu
ll
e
ti
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o
f
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e
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trica
l
En
g
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n
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ti
c
s
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Vo
l.
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(
3
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p
.
2
3
5
-
2
4
0
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S
e
p
2
0
1
7
.
[1
2
]
M
OH
A
M
M
ED
A
HS
A
N,
"
S
m
a
rt
W
a
lk
in
g
S
ti
c
k
f
o
r
th
e
V
is
u
a
ll
y
Ch
a
ll
e
n
g
e
d
,
"
I
n
d
o
n
e
sia
n
J
o
u
rn
a
l
o
f
El
e
c
trica
l
En
g
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n
e
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rin
g
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n
d
C
o
mp
u
ter
S
c
ien
c
e
,
v
o
l
1
2
(
3
),
De
c
2
0
1
8
.
[1
3
]
Ha
k
i
m
A
d
il
Ka
d
h
im
,
Na
b
e
e
l
S
a
l
ih
A
li
,
Dh
e
y
a
a
M
.
A
b
d
u
lsa
h
ib
,
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a
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m
e
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t
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n
d
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c
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in
g
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tem
f
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r
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e
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tec
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n
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Us
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irele
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Ba
se
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h
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n
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Da
tab
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se
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g
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y
,
"
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ter
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n
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l
J
o
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rn
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l
o
f
Po
we
r E
lec
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n
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a
n
d
Dr
ive
S
y
ste
ms
(
I
J
PE
DS
),
v
o
l
1
0
(
1
),
M
a
r
2
0
1
9
.
[1
4
]
P
ierl
u
ig
i
P
leb
n
i
u
r
b
e
,
"
Ba
rb
a
ra
P
e
rn
in
:
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W
e
b
S
e
rv
ice
Re
tr
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B
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se
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a
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,
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,
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2
1
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v
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2
0
0
9
.
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5
]
S
tro
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li
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,
E.
a
n
d
Y.W
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n
g
.,
"
S
tru
c
t
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ra
l
a
n
d
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e
m
a
n
ti
c
M
a
tch
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s
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in
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W
e
b
S
e
rv
i
c
e
S
i
m
il
a
rit
y
,
”
In
ter
n
a
ti
o
n
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l
jo
u
rn
a
l
o
f
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o
o
p
e
ra
ti
v
e
In
f
o
rm
a
ti
o
n
S
y
ste
m
14,
p
p
.
4
0
7
-
4
3
7
.
Ex
p
la
in
in
g
re
se
a
rc
h
.
Evaluation Warning : The document was created with Spire.PDF for Python.