I
nd
o
ne
s
ia
n J
o
urna
l o
f
E
lect
rica
l En
g
ineering
a
nd
Co
m
p
u
t
er
Science
Vo
l.
12
,
No
.
2
,
N
o
v
e
m
b
er
201
8
,
p
p
.
8
1
4
~
8
2
3
I
SS
N:
2
5
0
2
-
4
7
5
2
,
DOI
: 1
0
.
1
1
5
9
1
/i
j
ee
cs.v
1
2
.i
2
.
p
p
814
-
8
2
3
814
J
o
ur
na
l ho
m
ep
a
g
e
:
h
ttp
:
//ia
e
s
co
r
e.
co
m/jo
u
r
n
a
ls
/in
d
ex
.
p
h
p
/
ijeec
s
A Clust
ering
Ex
p
ert
Sy
ste
m
Using
Particle
Sw
a
rm
O
pti
m
i
z
a
tion An
d K
-
M
ea
ns+
+ Fo
r Jo
urna
l Reco
mm
en
da
tion
To
P
ublis
h The
P
a
pers
Sey
edeh
M
a
lih
e
K
ha
t
a
m
i
1
,
M
a
ns
o
ureh
M
a
a
di
2
,
Ro
ho
lla
h Ra
m
ez
a
n
i
3
1
,3
S
c
h
o
o
l
o
f
En
g
in
e
e
rin
g
,
Da
m
g
h
a
n
Un
iv
e
rsity
,
Da
m
g
h
a
n
,
Ira
n
2
S
c
h
o
o
l
o
f
M
a
th
e
m
a
ti
a
n
d
Co
m
p
u
ter S
c
ien
c
e
,
Da
m
g
h
a
n
Un
iv
e
rsit
y
,
Da
m
g
h
a
n
,
Ira
n
Art
icle
I
nfo
AB
ST
RAC
T
A
r
ticle
his
to
r
y:
R
ec
eiv
ed
A
p
r
9
,
2
0
1
8
R
ev
i
s
ed
Ma
y
2
0
,
2
0
1
8
A
cc
ep
ted
Ju
l
11
,
2
0
1
8
In
th
is
p
a
p
e
r,
a
n
a
n
d
ro
i
d
e
x
p
e
rt
sy
st
e
m
f
o
r
re
c
o
m
m
e
n
d
in
g
th
e
su
it
a
b
le
jo
u
r
n
a
l
f
o
r
p
u
b
l
ish
i
n
g
th
e
re
se
a
rc
h
e
rs'
p
a
p
e
rs h
a
s b
e
e
n
p
re
se
n
ted
.
In
so
d
o
in
g
,
th
e
e
x
p
e
c
tatio
n
s
o
f
d
if
f
e
re
n
t
jo
u
rn
a
ls
f
o
r
a
c
c
e
p
ti
n
g
a
n
a
rti
c
le
a
n
d
a
lso
t
h
e
re
q
u
e
sts
o
f
p
a
p
e
rs'
w
rit
e
rs
f
o
r
c
h
o
o
si
n
g
th
e
jo
u
rn
a
ls
h
a
v
e
b
e
e
n
e
x
a
m
in
e
d
.
L
a
n
g
u
a
g
e
,
q
u
a
li
ty
,
wa
it
in
g
ti
m
e
f
o
r
ju
d
g
m
e
n
t,
wa
it
in
g
ti
m
e
f
o
r
p
u
b
li
c
a
ti
o
n
a
f
ter
a
c
c
e
p
tan
c
e
,
f
ield
,
len
g
th
o
f
p
a
p
e
r
a
n
d
c
o
st
a
re
th
e
s
y
ste
m
in
p
u
ts
a
n
d
it
s
o
u
t
p
u
t
is
th
e
d
e
g
re
e
o
f
su
it
a
b
il
it
y
o
f
jo
u
rn
a
ls
f
o
r
p
u
b
li
sh
in
g
a
c
e
rt
a
in
p
a
p
e
r.
T
h
is
s
y
ste
m
in
c
lu
d
e
s
a
d
a
tab
a
se
o
f
d
iffere
n
t
jo
u
rn
a
ls
a
n
d
th
e
ir
p
a
r
a
m
e
ters
.
I
t
u
se
s
p
a
rti
c
le
s
w
a
r
m
o
p
ti
m
iz
a
ti
o
n
m
e
th
o
d
a
n
d
K
-
m
e
a
n
s+
+
a
lg
o
rit
h
m
f
o
r
a
ss
e
ss
in
g
a
n
d
c
lu
ste
rin
g
th
e
jo
u
rn
a
ls
d
a
tab
a
se
a
n
d
d
e
ter
m
in
e
s
a
n
in
d
e
x
f
o
r
e
v
e
r
y
c
lu
ste
r
o
f
jo
u
rn
a
ls.
T
h
e
p
ro
c
e
ss
f
o
r
m
a
tch
in
g
th
e
p
a
p
e
r
w
it
h
a
c
lu
ste
r'
s
in
d
e
x
is
d
o
n
e
th
r
o
u
g
h
f
u
z
z
y
in
d
u
c
ti
o
n
sy
ste
m
.
Af
ter
c
h
o
o
sin
g
th
e
m
o
st
sim
il
a
r
c
lu
ste
r,
th
e
p
a
p
e
r
is
c
o
m
p
a
re
d
w
it
h
a
ll
t
h
e
jo
u
rn
a
ls
o
f
th
e
c
lu
ste
r
in
th
e
sa
m
e
wa
y
a
n
d
th
e
re
su
lt
in
c
lu
d
in
g
th
e
m
o
st
si
m
il
a
r
jo
u
rn
a
ls
is
p
re
se
n
ted
.
T
h
is
s
y
ste
m
h
a
s
b
e
e
n
tes
ted
f
o
r
jo
u
r
n
a
ls
a
n
d
p
a
p
e
rs
i
n
t
h
e
c
o
m
p
u
ter
f
ield
in
d
e
x
e
d
in
El
se
v
ier.
K
ey
w
o
r
d
s
:
Fu
zz
y
P
ar
ticle
S
w
ar
m
Op
ti
m
iza
tio
n
C
lu
s
ter
i
n
g
J
o
u
r
n
al
r
ec
o
m
m
e
n
d
atio
n
s
y
s
te
m
.
Co
p
y
rig
h
t
©
2
0
1
8
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
:
Se
y
ed
eh
Ma
l
ih
e
K
h
ata
m
i
Sch
o
o
l o
f
E
n
g
i
n
ee
r
in
g
,
Da
m
g
h
a
n
U
n
i
v
er
s
it
y
,
Da
m
g
h
a
n
,
I
r
an
.
E
m
ail:
f
ar
o
u
g
h
i.a
lire
za
.
h
@
g
m
ail.
co
m
1.
I
NT
RO
D
UCT
I
O
N
C
o
llecti
v
e
in
te
lli
g
en
ce
a
n
d
f
u
zz
y
lo
g
ic
g
en
er
ate
p
o
w
er
f
u
l
an
d
an
d
r
o
id
p
r
ec
is
e
s
y
s
te
m
.
in
r
ec
en
t
y
ea
r
s
,
a
lo
t
o
f
at
te
m
p
t
s
h
av
e
b
ee
n
m
ad
e
to
p
r
o
d
u
ce
an
d
r
o
id
s
y
s
te
m
s
to
u
s
e
t
h
e
ca
p
ab
ilit
ies
o
f
b
o
th
f
u
zz
y
an
d
co
llectiv
e
i
n
tel
lig
e
n
ce
m
et
h
o
d
s
s
u
c
h
as
h
y
b
r
id
s
y
s
te
m
s
o
f
f
u
zz
y
p
ar
ticle
s
w
ar
m
o
p
ti
m
iza
ti
o
n
al
g
o
r
ith
m
[
1
-
2
]
,
an
t c
o
lo
n
y
o
p
ti
m
izatio
n
alg
o
r
i
th
m
w
it
h
p
ar
allel
f
u
zz
y
clu
s
ter
[
3
]
,
m
o
d
i
f
ied
ar
tific
ial
b
ee
co
lo
n
y
a
lg
o
r
it
h
m
[
2
]
,
[
4
]
,
etc.
I
n
ad
d
itio
n
,
th
er
e
is
a
s
ig
n
i
f
ica
n
t
in
cr
ea
s
e
i
n
s
u
c
ce
s
s
f
u
l
u
s
e
o
f
h
y
b
r
id
an
d
r
o
id
s
y
s
te
m
s
i
n
m
a
n
y
d
if
f
er
e
n
t
is
s
u
e
s
in
cl
u
d
in
g
d
ata
clu
s
ter
i
n
g
[
5
-
6
]
,
d
ata
ca
teg
o
r
izatio
n
,
m
ed
ical
d
iag
n
o
s
is
s
y
s
te
m
s
,
p
ictu
r
e
p
r
o
ce
s
s
,
h
an
d
w
r
iti
n
g
r
ec
o
g
n
iti
o
n
,
etc.
E
x
p
er
t
s
y
s
te
m
is
a
b
r
an
ch
o
f
a
r
tif
icial
i
n
telli
g
e
n
ce
w
h
ic
h
w
a
s
in
tr
o
d
u
ce
d
an
d
d
ev
elo
p
ed
b
y
ar
ti
f
icia
l
in
telli
g
e
n
ce
co
m
m
ittee
in
t
h
e
m
id
-
1
9
6
0
s
.
An
e
x
p
er
t
s
y
s
te
m
is
a
co
m
p
u
ter
p
r
o
g
r
a
m
w
h
ic
h
ai
m
s
a
t
k
n
o
w
led
g
e
m
o
d
e
li
n
g
in
o
n
e
o
r
m
o
r
e
tech
n
ica
l
f
ield
s
.
T
h
e
m
ai
n
id
ea
o
f
an
ex
p
er
t
s
y
s
te
m
i
s
to
tr
an
s
f
er
an
d
ex
p
er
t's
k
n
o
w
led
g
e
to
co
m
p
u
ter
s
o
t
h
at
th
r
o
u
g
h
in
d
u
ctio
n
it
co
u
ld
h
av
e
s
o
m
e
s
u
g
g
es
tio
n
s
f
o
r
u
s
er
s
r
eg
ar
d
in
g
t
h
i
s
r
ec
o
r
d
e
d
tech
n
ical
k
n
o
w
led
g
e
an
d
ex
p
lai
n
t
h
e
lo
g
ic
b
eh
in
d
ea
ch
s
u
g
g
e
s
tio
n
,
if
n
ec
e
s
s
ar
y
.
E
x
p
er
t
s
y
s
te
m
h
a
s
b
ee
n
u
s
ed
i
n
s
o
l
v
i
n
g
v
ar
io
u
s
p
r
o
b
lem
s
s
u
ch
a
s
m
ed
ical
a
n
d
t
r
ea
t
m
en
t
[
7
-
1
1
]
,
ed
u
ca
tio
n
[
1
2
]
,
p
ath
r
ec
o
g
n
itio
n
[
2
]
[
1
3
]
,
f
au
lt
r
ec
o
g
n
itio
n
[
1
4
-
1
5
]
,
p
r
ed
ictio
n
o
f
g
as
en
g
in
es'
e
f
f
icie
n
c
y
[
1
6
]
,
b
u
s
in
e
s
s
m
an
a
g
e
m
e
n
t
[
1
7
]
,
co
n
tr
o
l o
f
r
o
b
o
t'
s
p
ath
[
1
8
]
,
an
d
co
n
tr
o
l [
1
9
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4752
A
C
l
u
s
teri
n
g
E
xp
ert S
ystem
U
s
in
g
P
a
r
ticle
S
w
a
r
m
Op
timiz
a
tio
n
A
n
d
K
-
Mea
n
s
…
(
S
ey
ed
eh
Ma
lih
e
K
h
a
ta
mi
)
815
On
e
o
f
th
e
m
ai
n
ap
p
licatio
n
s
o
f
e
x
p
er
t
s
y
s
te
m
i
s
t
h
e
r
ec
o
m
m
e
n
d
atio
n
s
y
s
te
m
s
f
o
r
m
atc
h
in
g
a
r
eq
u
est
w
it
h
a
d
atab
ase.
T
h
e
e
x
p
er
t
s
y
s
te
m
f
o
r
m
atc
h
in
g
a
n
u
n
e
m
p
lo
y
ed
w
i
th
a
g
i
v
en
j
o
b
[
2
0
]
w
a
s
p
r
ese
n
t
ed
in
2
0
0
4
in
w
h
ich
f
u
zz
y
in
d
u
ct
io
n
s
y
s
te
m
(
FIS)
a
n
d
n
e
u
r
al
n
et
w
o
r
k
ar
e
u
s
ed
to
d
o
th
e
m
at
ch
in
g
b
et
w
ee
n
t
h
e
p
atter
n
s
[
1
6
]
.
A
ls
o
,
an
e
x
p
er
t
s
y
s
te
m
f
o
r
ef
f
icie
n
t
p
o
r
tf
o
lio
r
ec
o
m
m
e
n
d
atio
n
t
h
r
o
u
g
h
f
u
zz
y
ex
p
er
t
s
y
s
te
m
h
a
s
b
ee
n
p
r
esen
ted
in
[
2
1
]
.
Ho
w
ev
er
,
th
e
s
u
b
j
ec
t
o
f
m
a
k
i
n
g
an
ex
p
er
t
s
y
s
te
m
f
o
r
r
ec
o
m
m
en
d
i
n
g
a
s
u
itab
le
j
o
u
r
n
al
f
o
r
p
u
b
li
s
h
in
g
a
p
ap
er
is
le
s
s
i
n
v
e
s
ti
g
ated
i
n
t
h
e
ar
e
a
o
f
r
ec
o
m
m
e
n
d
atio
n
.
Ak
b
ar
z
ad
eh
&
So
lei
m
a
n
i
[
2
2
]
s
u
g
g
ested
a
n
e
x
p
er
t
s
y
s
t
e
m
f
o
r
t
h
is
p
r
o
b
lem
w
h
ich
d
esp
ite
t
h
e
s
u
itab
le
ti
m
e,
i
s
f
ar
f
r
o
m
th
e
o
p
ti
m
ized
p
r
ec
is
io
n
.
C
h
o
o
s
i
n
g
a
s
u
itab
le
j
o
u
r
n
al
f
o
r
p
u
b
lis
h
in
g
a
ce
r
tain
p
ap
er
is
a
m
atter
w
h
ic
h
e
v
er
y
r
es
ea
r
ch
er
o
r
s
tu
d
e
n
t
is
f
ac
ed
w
it
h
d
u
r
i
n
g
th
e
ed
u
ca
tio
n
ti
m
e.
T
h
er
e
ar
e
s
o
m
e
p
eo
p
le
w
h
o
h
a
v
e
b
ec
o
m
e
e
x
p
er
t
in
th
i
s
s
elec
tio
n
d
u
e
to
p
u
b
lis
h
i
n
g
a
lo
t
o
f
p
ap
er
s
.
T
h
ese
p
eo
p
le
u
s
u
all
y
c
h
o
o
s
e
th
e
s
u
itab
le
j
o
u
r
n
al
b
y
co
n
s
id
er
in
g
s
o
m
e
o
f
t
h
e
f
ea
tu
r
e
s
o
f
t
h
e
p
ap
er
an
d
s
ea
r
ch
in
g
i
n
j
o
u
r
n
als
'
in
f
o
r
m
atio
n
b
a
n
k
.
So
f
ar
,
n
o
a
n
d
r
o
id
s
y
s
te
m
h
as
b
ee
n
d
esi
g
n
ed
a
n
d
p
r
ese
n
ted
f
o
r
k
n
o
w
led
g
e
m
o
d
eli
n
g
a
n
d
s
elec
tio
n
m
et
h
o
d
s
o
f
t
h
ese
p
eo
p
le.
Desig
n
i
n
g
s
u
c
h
a
s
y
s
te
m
w
ill
h
elp
p
eo
p
le
av
o
id
co
n
f
u
s
io
n
,
r
ep
ea
ted
s
e
n
d
in
g
,
w
asti
n
g
ti
m
e
an
d
m
o
n
e
y
,
f
r
eq
u
en
t
r
ej
ec
tio
n
s
i
n
p
u
b
lis
h
in
g
t
h
eir
p
ap
er
s
an
d
b
y
h
a
v
i
n
g
a
lis
t
o
f
s
u
itab
le
j
o
u
r
n
als
t
h
e
y
w
o
n
'
t
s
en
d
t
h
e
p
ap
er
to
an
u
n
s
u
itab
l
e
j
o
u
r
n
al.
T
h
e
p
r
esen
ted
s
y
s
te
m
is
b
ein
g
test
ed
an
d
ex
a
m
i
n
ed
b
y
a
d
atab
ase
in
cl
u
d
in
g
j
o
u
r
n
als
in
co
m
p
u
ter
f
ield
r
ec
o
r
d
ed
in
E
l
s
ev
ier
d
atab
ase
[
2
3
]
.
T
h
e
s
tr
u
ct
u
r
e
o
f
th
e
r
e
m
ai
n
i
n
g
p
ar
t
o
f
t
h
e
p
ap
er
is
as
f
o
llo
w
s
:
s
ec
tio
n
2
ex
a
m
i
n
es
t
h
e
s
y
s
t
e
m
'
s
s
tr
u
ct
u
r
e
a
n
al
y
tical
l
y
.
S
ec
tio
n
3
s
h
o
w
s
a
ca
s
e
s
t
u
d
y
u
s
i
n
g
t
h
e
s
y
s
te
m
(
m
atch
in
g
t
h
e
p
ap
er
an
d
jo
u
r
n
al)
.
Fin
d
in
g
s
ar
e
p
r
esen
ted
i
n
s
ec
tio
n
4
.
2.
SUG
G
E
S
T
E
D
SYS
T
E
M
Ou
r
s
y
s
te
m
h
a
s
t
h
e
f
o
llo
w
i
n
g
ch
ar
ac
ter
is
tic
s
:
a)
A
d
atab
ase
w
h
ich
i
n
cl
u
d
es a
li
s
t o
f
j
o
u
r
n
als a
n
d
th
eir
f
ea
tu
r
e
s
.
b)
C
lu
s
ter
s
w
h
ic
h
ar
e
r
es
u
lted
f
r
o
m
d
atab
ase
clu
s
ter
i
n
g
u
s
in
g
Fu
zz
y
-
P
SO
m
et
h
o
d
s
.
T
h
is
cl
u
s
ter
in
g
a
f
f
ec
ts
th
e
s
p
ee
d
in
cr
ea
s
e
a
n
d
d
ec
r
ea
s
in
g
t
h
e
e
v
alu
a
tio
n
s
tep
s
o
f
t
h
e
s
u
itab
le
j
o
u
r
n
al.
c)
A
f
u
zz
y
i
n
d
u
c
tio
n
s
y
s
te
m
w
h
i
ch
s
elec
ts
t
h
e
clu
s
ter
m
o
s
t
s
i
m
ilar
to
th
e
q
u
esti
o
n
ed
p
ap
er
.
T
h
is
s
y
s
te
m
i
s
also
u
s
ed
in
co
m
p
ar
is
o
n
o
f
ex
is
ti
n
g
j
o
u
r
n
als
i
n
th
e
s
elec
ted
clu
s
ter
w
it
h
th
e
g
iv
e
n
p
ap
er
a
n
d
p
r
esen
tin
g
th
e
d
eg
r
ee
o
f
s
u
itab
ilit
y
o
f
ea
c
h
j
o
u
r
n
al
w
it
h
th
e
p
ap
er
.
d)
T
h
e
u
s
er
m
ed
iato
r
is
u
s
ed
b
y
t
h
e
u
s
er
to
in
s
er
t t
h
e
f
ea
t
u
r
es o
f
th
e
g
i
v
en
p
ap
er
.
Ou
r
s
y
s
te
m
co
n
s
i
s
ts
o
f
s
p
ec
ial
p
ar
ts
Fi
g
u
r
e
1
w
h
ic
h
s
h
o
u
ld
b
e
in
te
g
r
ated
in
a
n
a
n
d
r
o
id
s
y
s
te
m
t
o
p
r
o
d
u
ce
th
e
f
i
n
al
o
u
tp
u
t.
E
v
er
y
m
atch
in
g
b
et
w
ee
n
t
h
e
p
ap
er
an
d
th
e
j
o
u
r
n
a
l is d
o
n
e
b
y
t
h
e
f
o
llo
w
in
g
f
ea
t
u
r
es:
L
a
n
g
u
a
g
e,
q
u
ali
t
y
,
w
aiti
n
g
ti
m
e
f
o
r
j
u
d
g
m
en
t,
w
aiti
n
g
ti
m
e
f
o
r
p
u
b
licatio
n
a
f
ter
ac
ce
p
ta
n
ce
,
f
ield
,
le
n
g
t
h
o
f
p
ap
er
an
d
co
s
t
Fig
u
r
e
2
.
I
n
g
e
n
er
al,
th
e
q
u
est
io
n
n
air
e
is
m
a
d
e
o
f
t
w
o
p
r
ec
is
e
an
d
ap
p
r
o
x
i
m
ate
p
ar
ts
.
J
o
u
r
n
al
s
'
clu
s
ter
i
n
g
is
d
o
n
e
b
ased
o
n
t
h
e
ap
p
r
o
x
i
m
ate
cr
iter
ia.
T
h
e
q
u
e
s
tio
n
n
air
e
'
s
ap
p
r
o
x
i
m
ate
p
ar
t
is
g
iv
e
n
to
th
e
f
u
zz
y
i
n
d
u
ctio
n
s
y
s
te
m
a
s
th
e
in
p
u
t.
T
h
e
r
esu
lts
o
f
t
h
e
i
n
d
u
ctio
n
s
y
s
te
m
ar
e
ex
a
m
in
ed
b
y
th
e
p
r
ec
is
e
cr
iter
ia
an
d
th
o
s
e
w
h
is
h
co
n
tr
a
s
ted
w
i
th
b
in
ar
y
cr
iter
ia
ar
e
d
elete
d
f
r
o
m
t
h
e
li
s
t.
T
h
e
o
u
tp
u
t
o
f
th
e
in
d
u
ct
io
n
s
y
s
te
m
is
t
h
e
d
eg
r
ee
o
f
m
atc
h
i
n
g
t
h
e
p
ap
er
w
ith
j
o
u
r
n
al
s
an
d
p
r
o
v
id
in
g
s
o
m
e
s
u
g
g
est
io
n
s
.
T
h
is
p
r
o
b
le
m
i
s
a
n
ap
p
r
o
x
i
m
ate
p
r
ac
tical
p
r
o
b
lem
w
it
h
s
u
cc
ess
iv
e
i
n
p
u
ts
.
W
e
h
a
v
e
u
s
ed
th
e
ex
p
er
ie
n
ce
o
f
ex
p
er
t p
eo
p
le
to
d
eter
m
i
n
e
th
e
cr
iter
ia
a
n
d
th
e
d
eg
r
ee
o
f
t
h
e
i
m
p
o
r
tan
ce
o
f
ea
ch
cr
iter
io
n
.
Fig
u
r
e
1
.
Si
m
p
li
f
ied
ar
ch
itect
u
r
e
S
y
s
te
m
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4752
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l.
12
,
No
.
2
,
No
v
e
m
b
er
2
0
1
8
:
8
1
4
–
8
2
3
816
Fig
u
r
e
2
.
Fu
zz
y
i
n
f
er
en
ce
e
n
g
i
n
e
2
.
1
.
Sy
s
t
e
m
's
R
ules
T
h
er
e
is
a
f
u
zz
y
r
u
le
f
o
r
ea
ch
cr
iter
io
n
w
h
ic
h
s
h
o
u
ld
b
e
p
er
f
o
r
m
ed
f
o
r
ea
c
h
f
o
r
m
:
T
h
e
A
f
ea
t
u
r
e
o
f
th
e
g
iv
e
n
p
ap
er
m
atc
h
es
w
it
h
A
cr
iter
io
n
.
A
ca
n
b
e
o
n
e
o
f
th
e
ap
p
r
o
x
i
m
ate
cr
iter
ia
(
L
an
g
u
ag
e,
q
u
alit
y
,
w
ait
in
g
ti
m
e
f
o
r
j
u
d
g
m
e
n
t,
w
a
itin
g
ti
m
e
f
o
r
p
u
b
licatio
n
af
ter
ac
ce
p
tan
ce
,
f
ield
,
an
d
le
n
g
t
h
o
f
p
ap
er
)
.
T
h
er
e
is
a
s
et
o
f
t
h
ese
r
u
les
f
o
r
th
e
in
d
ex
o
f
ea
c
h
cl
u
s
ter
a
n
d
also
f
o
r
ea
ch
j
o
u
r
n
al.
T
h
e
s
u
m
o
f
a
ll
th
ese
r
u
les
m
a
k
es
th
e
s
y
s
te
m
's r
u
le
T
ab
le
1
.
T
ab
le
1
.
Sy
s
te
m
's
r
u
le
s
P
a
p
e
r
’
s q
u
a
l
i
t
y
mat
c
h
e
s q
u
a
l
i
t
y
c
r
i
t
e
r
i
o
n
P
a
p
e
r
’
s j
u
d
g
e
t
i
me
mat
c
h
e
s j
u
d
g
e
t
i
me
c
r
i
t
e
r
i
o
n
P
a
p
e
r
’
s p
u
b
l
i
sh
t
i
me
mat
c
h
e
s p
u
b
l
i
sh
t
i
me
c
r
i
t
e
r
i
o
n
P
a
p
e
r
’
s fi
e
l
d
mat
c
h
e
s fi
e
l
d
c
r
i
t
e
r
i
o
n
P
a
p
e
r
’
s l
e
n
g
t
h
mat
c
h
e
s l
e
n
g
t
h
c
r
i
t
e
r
i
o
n
2
.
2
.
F
uzzy
M
et
ho
ds
I
n
t
h
e
f
o
llo
w
i
n
g
,
th
e
f
u
zz
y
m
et
h
o
d
s
i
n
t
h
e
f
ield
o
f
q
u
e
s
tio
n
n
air
e
ar
e
p
r
ese
n
ted
.
F
u
z
z
y
b
i
n
ar
y
r
elatio
n
s
ar
e
f
u
zz
y
s
ets
o
f
A
×
B
in
w
h
ic
h
ev
er
y
ele
m
en
t
i
s
d
r
a
w
n
w
i
th
m
e
m
b
er
s
h
ip
d
eg
r
ee
b
et
w
ee
n
0
a
n
d
1
.
W
e
ca
n
ex
p
lain
a
f
u
zz
y
r
elatio
n
u
s
in
g
a
r
elatio
n
m
atr
i
x
as
f
o
llo
w
s
:
[
(
)
(
)
(
)
(
)
(
)
(
)
(
)
(
)
(
)
]
(
1
)
I
n
w
h
ic
h
(
)
is
a
f
u
n
c
tio
n
w
h
ic
h
s
h
o
w
s
t
h
e
m
e
m
b
er
s
h
ip
d
eg
r
e
e
o
f
m
to
n
.
i
f
t
h
e
m
e
m
b
er
s
h
i
p
d
eg
r
ee
o
f
an
ele
m
en
t
o
f
t
h
e
s
et
eq
u
als
0
,
th
at
ele
m
e
n
t
is
c
o
m
p
lete
l
y
o
u
t
o
f
t
h
e
s
et,
a
n
d
if
t
h
e
m
e
m
b
er
s
h
ip
d
eg
r
ee
o
f
an
ele
m
e
n
t o
f
t
h
e
s
e
t e
q
u
als 1
,
t
h
at
ele
m
e
n
t i
s
co
m
p
letel
y
i
n
t
h
e
s
et.
Am
o
n
g
th
e
i
n
tr
o
d
u
ce
d
f
ea
t
u
r
es,
ap
p
r
o
x
im
a
te
f
ea
t
u
r
es
(
L
a
n
g
u
ag
e,
q
u
alit
y
,
w
aiti
n
g
ti
m
e
f
o
r
j
u
d
g
m
e
n
t,
w
aiti
n
g
ti
m
e
f
o
r
p
u
b
licatio
n
af
ter
ac
ce
p
tan
ce
,
f
ield
,
an
d
len
g
t
h
o
f
p
ap
er
)
n
ee
d
f
u
zz
y
m
et
h
o
d
s
2
.
2
.
1
.
Q
ua
lity
T
h
e
q
u
alit
y
o
f
ea
ch
p
ap
er
is
d
eter
m
in
ed
b
y
t
h
e
u
s
er
w
h
ile
f
illi
n
g
i
n
t
h
e
f
o
r
m
as
o
n
e
o
f
th
e
f
o
u
r
g
r
o
u
p
s
o
f
e
x
ce
lle
n
t,
g
o
o
d
,
a
v
er
ag
e,
n
o
t
s
o
g
o
o
d
.
Mu
t
u
all
y
,
t
h
is
ca
teg
o
r
izatio
n
s
h
o
u
ld
b
e
d
o
n
e
f
o
r
ev
er
y
j
o
u
r
n
al,
as
w
ell.
I
n
o
u
r
o
w
n
i
n
v
e
s
ti
g
ated
ar
ea
,
w
e
h
a
v
e
d
o
n
e
th
e
j
o
u
r
n
al
ca
te
g
o
r
izatio
n
b
ased
o
n
th
e
f
ac
to
r
w
h
ic
h
I
SI
g
i
v
es
to
ea
ch
j
o
u
r
n
al
r
eg
ar
d
in
g
its
q
u
alit
y
.
T
h
is
f
ac
to
r
is
ca
lled
i
m
p
ac
t
f
ac
t
o
r
an
d
h
as
d
if
f
er
en
t
r
an
g
e
s
f
o
r
j
o
u
r
n
als
o
f
d
if
f
er
e
n
t
f
ield
s
o
f
s
t
u
d
y
.
Fo
r
o
u
r
ar
ea
o
f
s
tu
d
y
-
co
m
p
u
ter
-
f
i
g
u
r
es
m
o
r
e
th
an
3
ar
e
v
er
y
r
ar
e.
L
a
n
g
u
a
g
e
F
e
e
Q
u
a
l
i
t
y
J
u
d
g
e
T
i
m
e
P
u
b
l
i
s
h
T
i
m
e
F
i
e
l
d
L
e
n
g
t
h
F
u
z
z
y
-
Q
F
u
z
z
y
-
J
F
u
z
z
y
-
P
F
u
z
z
y
-
F
F
u
z
z
y
-
L
F
u
z
z
i
f
y
F
u
z
z
i
f
y
F
u
z
z
i
f
y
F
u
z
z
i
f
y
F
u
z
z
i
f
y
R
u
l
e
R
u
l
e
R
u
l
e
R
u
l
e
R
u
l
e
F
u
z
z
y
C
o
m
p
a
r
e
F
u
z
z
y
C
o
m
p
a
r
e
F
u
z
z
y
C
o
m
p
a
r
e
F
u
z
z
y
C
o
m
p
a
r
e
F
u
z
z
y
C
o
m
p
a
r
e
W
W
W
W
W
E
v
a
l
u
t
i
o
n
R
e
s
u
l
t
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4752
A
C
l
u
s
teri
n
g
E
xp
ert S
ystem
U
s
in
g
P
a
r
ticle
S
w
a
r
m
Op
timiz
a
tio
n
A
n
d
K
-
Mea
n
s
…
(
S
ey
ed
eh
Ma
lih
e
K
h
a
ta
mi
)
817
W
e
h
av
e
d
eter
m
i
n
ed
a
f
u
zz
y
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
f
o
r
th
e
j
o
u
r
n
als'
q
u
al
it
y
w
h
ic
h
in
c
r
ea
s
es
th
e
ho
m
o
g
en
e
it
y
b
et
w
ee
n
t
h
ese
g
r
o
u
p
s
Fig
u
r
e
3
.
I
n
t
h
i
s
ca
s
e,
t
h
o
s
e
q
u
ali
f
ied
j
o
u
r
n
al
s
w
h
ich
ar
e
a
litt
le
f
ar
f
r
o
m
th
e
q
u
al
it
y
li
m
itatio
n
s
ar
e
n
o
t
r
ej
ec
ted
.
T
h
er
ef
o
r
e,
th
e
r
u
le
o
f
"
p
ap
er
q
u
alit
y
m
atc
h
es
j
o
u
r
n
al
q
u
alit
y
"
co
m
es
tr
u
e
an
d
f
o
r
ex
a
m
p
le,
an
a
v
er
ag
e
p
ap
e
r
ca
n
h
av
e
c
h
o
ices a
m
o
n
g
j
o
u
r
n
als
w
i
th
f
ac
to
r
s
b
et
wee
n
0
.
4
to
1
.
2
.
Fig
u
r
e
3
.
Fu
zz
y
m
e
m
b
er
s
h
ip
f
u
n
ct
io
n
f
o
r
th
e
j
o
u
r
n
als
'
q
u
ali
t
y
2
.
2
.
2
.
Wa
it
ing
T
i
m
e
f
o
r
J
ud
g
m
ent
a
nd
P
ub
lica
t
io
n
T
h
e
m
a
x
i
m
u
m
ti
m
e
th
a
t
a
p
er
s
o
n
ca
n
w
ait
f
o
r
th
e
p
ap
er
'
s
j
u
d
g
m
e
n
t
a
n
d
p
u
b
licatio
n
i
s
r
ec
o
r
d
ed
in
4
ar
ea
s
:
less
th
a
n
1
m
o
n
th
,
b
et
w
ee
n
1
to
2
m
o
n
t
h
s
,
b
et
w
ee
n
2
to
4
m
o
n
t
h
,
a
n
d
m
o
r
e
t
h
an
4
m
o
n
th
s
.
T
h
ese
co
n
d
itio
n
s
ar
e
co
d
ed
in
a
g
e
n
er
al
w
a
y
a
s
f
ield
co
d
es.
R
u
le
s
ar
e:
w
ait
in
g
t
i
m
e
f
o
r
th
e
ap
p
lican
t
'
s
j
u
d
g
m
en
t
m
atc
h
es
w
it
h
j
o
u
r
n
al
'
s
cr
iter
i
o
n
o
f
w
aiti
n
g
ti
m
e
f
o
r
j
u
d
g
m
en
t.
W
aitin
g
ti
m
e
f
o
r
th
e
ap
p
lican
t
's
p
u
b
licatio
n
m
atc
h
es
w
it
h
j
o
u
r
n
al
'
s
cr
iter
i
o
n
o
f
w
ai
tin
g
ti
m
e
f
o
r
p
u
b
li
ca
tio
n
.
T
h
ese
r
u
les
ar
e
u
n
d
er
s
to
o
d
as
a
r
elatio
n
b
et
w
ee
n
f
ie
ld
s
o
f
w
ait
in
g
ti
m
e
an
d
th
e
r
eq
u
est
f
o
r
w
aiti
n
g
ti
m
e
T
ab
le
2
.
T
h
e
r
esu
lts
o
f
th
ese
r
u
les
ar
e
th
e
d
eg
r
ee
o
f
m
atc
h
i
n
g
t
h
e
u
s
er
'
s
r
eq
u
est f
o
r
t
h
e
p
ap
er
'
s
j
u
d
g
m
en
t a
n
d
p
u
b
licatio
n
w
it
h
t
h
e
j
o
u
r
n
al
'
s
p
er
f
o
r
m
an
ce
.
T
ab
le
2
.
Fu
zz
y
r
elatio
n
s
b
et
wee
n
f
ie
ld
o
f
w
a
iti
n
g
ti
m
e
(
C
)
a
n
d
r
eq
u
est f
o
r
w
aiti
n
g
ti
m
e
(
R
)
R
C
M
o
r
e
t
h
a
n
4
m
2
-
4
m
1
-
2
m
L
e
ss t
h
a
n
1
m
0
0
.
3
0
.
6
1
L
e
ss t
h
a
n
1
m
0
.
3
0
.
6
1
1
1
-
2
m
0
.
6
1
1
1
2
-
4
m
1
1
1
1
M
o
r
e
t
h
a
n
4
m
2
.
2
.
3
.
Are
a
a
nd
F
ield o
f
Study
Her
e,
th
e
f
ield
o
f
s
t
u
d
y
is
co
m
p
u
ter
.
T
h
is
f
ield
i
s
r
ec
o
r
d
ed
in
4
m
ain
ar
ea
s
o
f
s
o
f
t
w
ar
e,
h
ar
d
w
ar
e,
ar
ti
f
ic
ial
in
te
lli
g
en
ce
an
d
n
et
w
o
r
k
T
ab
le
3
.
I
ts
r
elate
d
r
u
le
is
"
p
ap
er
'
s
f
ield
m
a
tch
e
s
w
it
h
f
ield
cr
iter
io
n
"
an
d
th
e
o
u
tp
u
t
o
f
th
i
s
r
u
le
s
h
o
w
s
th
e
d
eg
r
ee
o
f
m
atc
h
i
n
g
t
h
e
p
ap
er
'
s
f
ield
w
it
h
th
e
j
o
u
r
n
al.
E
v
er
y
j
o
u
r
n
al
ca
n
p
u
b
lis
h
p
ap
er
s
in
s
ev
er
al
f
ield
s
,
s
o
th
e
o
u
tp
u
t o
f
m
ax
i
m
u
m
m
atc
h
in
g
i
s
m
et.
T
ab
le
3
.
Fu
zz
y
r
elatio
n
s
b
et
wee
n
f
ie
ld
o
f
s
t
u
d
y
(
C
)
an
d
r
eq
u
est f
o
r
f
ield
o
f
s
tu
d
y
(
R
)
R
C
N
e
t
w
o
r
k
A
r
t
i
f
i
c
i
a
l
i
n
t
e
l
l
i
g
e
n
c
e
H
a
r
d
w
a
r
e
S
o
f
t
w
a
r
e
0
.
5
0
.
8
0
.
5
1
S
o
f
t
w
a
r
e
0
.
8
0
.
5
1
0
.
5
H
a
r
d
w
a
r
e
0
.
5
1
0
.
5
0
.
8
A
r
t
i
f
i
c
i
a
l
i
n
t
e
l
l
i
g
e
n
c
e
1
0
.
5
0
.
8
0
.
5
N
e
t
w
o
r
k
2
.
2
.
4
.
P
a
per's L
eng
t
h
T
h
e
m
ax
i
m
u
m
le
n
g
t
h
o
f
p
u
b
lis
h
ed
p
ap
er
s
in
a
j
o
u
r
n
al
is
g
r
o
u
p
ed
in
5
ca
te
g
o
r
ies
o
f
le
s
s
t
h
a
n
7
p
ag
es,
b
et
w
ee
n
7
to
9
p
ag
es,
b
et
w
ee
n
1
0
to
1
4
p
ag
es,
b
et
w
ee
n
1
5
to
2
0
p
ag
es,
an
d
m
o
r
e
th
a
n
2
0
p
ag
es
f
o
r
j
o
u
r
n
al
s
w
ith
o
u
t li
m
itat
io
n
s
T
ab
le
4
.
0
0
.
2
0
.
4
0
.
6
0
.
8
1
1
.
2
0
0
.
2
0
.
4
0
.
6
0
.
8
1
1
.
2
1
.
4
1
.
6
1
.
8
2
2
.
2
M
em
b
er
sh
i
p
Im
p
a
c
t
Fa
c
t
o
r
N
o
t
g
o
o
d
A
v
e
r
e
g
e
G
o
o
d
Ex
c
e
l
e
n
t
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4752
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l.
12
,
No
.
2
,
No
v
e
m
b
er
2
0
1
8
:
8
1
4
–
8
2
3
818
T
ab
le
4
.
Fu
zz
y
r
elatio
n
s
b
et
wee
n
f
ie
ld
o
f
p
ap
er
'
s
len
g
t
h
(
C
)
an
d
r
eq
u
est f
o
r
p
ap
er
'
s
le
n
g
th
(
R
)
R
C
M
o
r
e
t
h
a
n
2
0
p
15
-
2
0
p
10
-
1
4
p
7
-
9
p
L
e
ss t
h
a
n
7
p
0
0
0
.
2
0
.
6
1
L
e
ss t
h
a
n
7
p
0
0
.
2
0
.
6
1
1
7
-
9
p
0
.
2
0
.
6
1
1
1
10
-
1
4
p
0
.
6
1
1
1
1
15
-
2
0
p
1
1
1
1
1
M
o
r
e
t
h
a
n
2
0
p
2
.
2
.
5
.
P
a
per's L
eng
t
h
I
n
th
i
s
s
ec
tio
n
,
w
e
ex
a
m
i
n
e
r
ec
eiv
i
n
g
t
h
e
f
ee
f
o
r
p
u
b
lis
h
i
n
g
th
e
p
ap
er
.
T
h
is
s
ec
tio
n
ca
n
in
cl
u
d
e
2
f
i
g
u
r
es
{
y
es=1
,
No
=0
}.
I
t
i
s
an
ex
ac
t
v
ar
iab
le.
All
th
e
j
o
u
r
n
als
w
h
ich
co
n
tr
a
s
t
w
i
th
th
e
u
s
er
's
r
eq
u
e
s
t
r
eg
ar
d
in
g
t
h
e
r
ec
ep
tio
n
o
f
f
ee
ar
e
d
elete
d
f
r
o
m
t
h
e
f
i
n
al
li
s
t.
2
.
2
.
6
.
L
a
ng
ua
g
e
E
v
er
y
j
o
u
r
n
al
ca
n
p
u
b
li
s
h
p
ap
er
s
w
r
i
tten
i
n
o
n
e
o
r
s
e
v
er
al
lan
g
u
ag
e
s
.
A
ll
t
h
e
j
o
u
r
n
al
s
w
h
ic
h
d
o
n
’
t
p
u
b
lis
h
th
e
g
i
v
e
n
p
ap
er
'
s
lan
g
u
ag
e
ar
e
d
elete
d
f
r
o
m
t
h
e
l
is
t.
I
n
o
u
r
f
ield
,
w
e
e
x
a
m
in
e
2
la
n
g
u
a
g
es
o
f
E
n
g
li
s
h
an
d
P
er
s
ian
.
2
.
3
.
Clus
t
er
ing
R
eg
ar
d
in
g
th
e
r
ec
o
m
m
e
n
d
in
g
th
e
s
u
i
tab
le
j
o
u
r
n
al,
w
e
ar
e
f
a
ce
d
w
i
th
a
lar
g
e
n
u
m
b
er
o
f
j
o
u
r
n
al
s
a
n
d
co
n
s
eq
u
e
n
tl
y
h
ig
h
v
o
lu
m
e
o
f
in
f
o
r
m
atio
n
.
On
e
o
f
t
h
e
v
ital
w
a
y
s
o
f
co
n
tr
o
lli
n
g
an
d
m
a
n
a
g
in
g
t
h
i
s
d
ata
is
th
e
ca
teg
o
r
izatio
n
o
r
g
r
o
u
p
in
g
t
h
e
s
i
m
i
lar
d
ata
w
it
h
i
n
a
s
et
o
f
cl
u
s
ter
s
.
T
h
e
ai
m
o
f
clu
s
ter
i
n
g
i
s
to
o
r
g
an
izi
n
g
t
h
e
d
ata
in
to
r
ea
s
o
n
ab
le
g
r
o
u
p
s
to
u
n
d
er
s
ta
n
d
th
e
d
if
f
er
e
n
ce
s
an
d
s
i
m
ilar
itie
s
b
et
w
ee
n
d
ata.
Af
ter
clu
s
ter
in
g
,
it
is
p
o
s
s
ib
le
to
e
x
a
m
i
n
e
o
n
l
y
t
h
e
i
n
d
ex
o
f
ea
c
h
clu
s
ter
w
h
ich
ca
n
b
e
th
e
ce
n
ter
o
f
cl
u
s
ter
,
in
s
t
ea
d
o
f
ex
a
m
i
n
atio
n
an
d
co
m
p
ar
is
o
n
o
f
all
t
h
e
j
o
u
r
n
als.
As
m
e
n
tio
n
ed
b
ef
o
r
e,
in
th
e
p
r
esen
t
p
ap
er
Fu
zz
y
-
P
SO
alg
o
r
ith
m
is
u
s
ed
f
o
r
clu
s
ter
i
n
g
t
h
e
jo
u
r
n
als.
P
SO
alg
o
r
ith
m
w
as
f
ir
s
t
in
tr
o
d
u
ce
d
b
y
Ke
n
n
ed
y
&
E
b
er
h
a
r
t
[
2
4
]
b
ased
o
n
th
e
co
llectiv
e
b
eh
av
io
r
o
f
b
ir
d
s
an
d
f
i
s
h
.
E
v
er
y
p
ar
ticle
i
n
an
N
-
d
i
m
en
s
io
n
al
s
ea
r
ch
s
p
ac
e
h
as
a
s
p
ee
d
v
ec
to
r
a
n
d
a
p
lace
v
ec
to
r
.
Ho
w
to
u
p
d
ate
th
e
v
elo
cit
y
v
ec
to
r
an
d
p
lace
v
ec
to
r
in
th
e
r
ep
etitio
n
o
f
t+1
is
b
ased
o
n
E
q
s
.
2
an
d
3
.
(
)
(
)
(
2
)
(
3
)
an
d
ar
e
co
n
s
tan
t
s
ca
lled
s
p
ee
d
co
e
f
f
icie
n
t,
an
d
an
d
ar
e
in
d
ep
en
d
en
t
r
an
d
o
m
n
u
m
b
er
s
i
n
th
e
d
o
m
ai
n
o
f
[
0
,
1
]
.
is
t
h
e
b
est
p
lace
w
h
ic
h
h
as
e
v
er
b
ee
n
s
ee
n
b
y
th
e
p
ar
ticle
i.
is
t
h
e
b
est
p
lace
a
m
o
n
g
all
th
e
p
ar
ticles
[
2
5
]
.
T
o
s
elec
t
an
d
,
ad
ap
tiv
e
d
is
tan
c
e
d
y
n
a
m
ic
clu
s
ter
s
'
cr
iter
io
n
is
u
s
ed
.
T
h
is
cr
iter
io
n
d
eter
m
in
e
s
th
e
q
u
alit
y
o
f
ea
c
h
clu
s
ter
b
ased
o
n
th
e
E
q
.
4
.
∑
∑
(
)
(
4
)
I
n
w
h
ic
h
is
th
e
n
u
m
b
er
o
f
clu
s
ter
s
,
is
t
h
e
n
u
m
b
er
o
f
cl
u
s
ter
'
s
d
ata,
is
a
d
is
tan
ce
f
u
n
ctio
n
an
d
is
t
h
e
th
d
ata
f
r
o
m
th
cl
u
s
te
r
.
E
ac
h
d
ata
is
r
elate
d
to
t
h
e
clu
s
ter
w
h
ich
to
its
ce
n
ter
it
h
as
th
e
least
d
is
tan
ce
.
I
n
th
e
o
r
ig
in
a
l
v
er
s
io
n
o
f
P
SO
,
th
e
ce
n
ter
o
f
p
r
elim
i
n
ar
y
cl
u
s
ter
s
is
r
an
d
o
m
l
y
f
i
g
u
r
ed
.
I
n
th
is
p
ap
er
,
k
-
m
ea
n
s
++
a
lg
o
r
it
h
m
is
u
s
ed
f
o
r
ch
o
o
s
i
n
g
t
h
e
ce
n
ter
o
f
cl
u
s
ter
s
.
T
h
is
ch
o
ice
lead
s
to
th
e
i
n
cr
ea
s
e
i
n
f
in
a
l
p
r
ec
is
io
n
o
f
th
e
m
et
h
o
d
an
d
d
ec
r
ea
s
e
in
th
e
p
r
o
g
r
a
m
'
s
p
er
f
o
r
m
an
ce
ti
m
e
[
2
6
]
.
T
h
is
alg
o
r
ith
m
w
as
f
ir
s
t
in
t
r
o
d
u
ce
d
b
y
A
r
t
h
u
r
&
Vas
s
i
v
its
k
ii
[
2
7
]
f
o
r
ch
o
o
s
in
g
t
h
e
c
en
tr
o
id
s
.
T
h
e
s
tep
s
f
o
r
p
er
f
o
r
m
i
n
g
th
is
al
g
o
r
ith
m
to
ch
o
o
s
e
th
e
ce
n
tr
o
id
s
ar
e
as
f
o
llo
w
s
:
a)
T
h
e
f
ir
s
t c
en
tr
o
id
(
)
is
r
an
d
o
m
l
y
ch
o
s
e
n
a
m
o
n
g
X
m
a
in
d
ata.
b)
T
h
e
ce
n
tr
o
id
a
m
o
n
g
X
m
ai
n
d
ata
is
ch
o
s
e
n
w
it
h
th
e
p
r
o
b
ab
ilit
y
o
f
E
q
u
at
io
n
5.
c)
Step
b
is
r
ep
ea
ted
u
n
til th
e
n
u
m
b
er
o
f
ce
n
tr
o
id
s
r
ea
ch
es
(
)
∑
(
)
(
5
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4752
A
C
l
u
s
teri
n
g
E
xp
ert S
ystem
U
s
in
g
P
a
r
ticle
S
w
a
r
m
Op
timiz
a
tio
n
A
n
d
K
-
Mea
n
s
…
(
S
ey
ed
eh
Ma
lih
e
K
h
a
ta
mi
)
819
(
)
i
s
th
e
s
h
o
r
test
d
is
ta
n
ce
o
f
x
f
r
o
m
t
h
e
n
ea
r
es
t
ex
is
tin
g
ce
n
tr
o
id
.
T
o
ca
lcu
late
th
e
d
is
ta
n
ce
,
all
f
i
v
e
f
u
zz
y
r
u
les
f
o
r
ea
ch
j
o
u
r
n
al
ar
e
p
er
f
o
r
m
ed
f
o
r
co
m
p
ar
is
o
n
w
it
h
t
h
e
clu
s
ter
'
s
ce
n
ter
a
n
d
th
e
n
t
h
e
r
es
u
lt
o
f
ea
ch
r
u
le
is
c
h
o
s
e
n
w
it
h
a
w
e
i
g
h
t
to
d
eter
m
in
e
t
h
e
f
in
al
r
es
u
lt.
T
h
ese
w
ei
g
h
ts
ar
e
th
e
s
a
m
e
ch
o
s
en
w
ei
g
h
ts
i
n
th
e
f
i
n
al
e
v
al
u
atio
n
.
E
q
.
3
is
u
s
ed
f
o
r
co
n
t
in
u
o
u
s
d
ata.
T
h
er
ef
o
r
e,
it
i
s
n
o
t
s
u
itab
le
f
o
r
d
at
a
r
elate
d
to
f
ie
ld
o
f
s
tu
d
y
.
So
,
b
in
ar
y
co
d
in
g
a
n
d
b
in
ar
y
v
er
s
io
n
o
f
P
SO
alg
o
r
ith
m
ar
e
u
s
ed
.
B
in
ar
y
v
er
s
io
n
o
f
P
SO
alg
o
r
it
h
m
d
eter
m
in
e
s
th
e
p
ar
ticle
'
s
p
lace
u
s
i
n
g
E
q
s
.
6
an
d
7
[
1
8
]
.
)
)
)
(
e
x
p
(
1
/(
1
)
(
1
1
v
s
v
s
t
i
t
i
(
6
)
)
(
0
)
(
1
1
1
1
v
s
r
a
n
d
if
v
s
r
a
n
d
if
x
t
i
t
i
t
i
(
7
)
2
.
4
.
Resul
t
s
a
n
d E
v
a
lua
t
io
n
As
m
en
t
io
n
ed
i
n
t
h
e
i
n
tr
o
d
u
ctio
n
,
f
o
r
f
in
a
l
s
elec
t
io
n
o
f
j
o
u
r
n
als
f
ir
s
t
t
h
e
s
u
g
g
es
te
d
p
ap
er
is
co
m
p
ar
ed
w
it
h
th
e
in
d
e
x
o
f
ea
ch
cl
u
s
ter
s
o
t
h
at
t
w
o
clu
s
ter
s
ar
e
ch
o
s
en
as
w
i
n
n
er
s
.
T
h
e
n
u
m
b
er
o
f
cl
u
s
ter
s
i
s
ac
h
iev
ed
r
eg
ar
d
i
n
g
t
h
e
n
u
m
b
er
o
f
j
o
u
r
n
als
an
d
t
h
r
o
u
g
h
tr
ial
an
d
er
r
o
r
.
Fo
r
o
u
r
g
iv
en
q
u
esti
o
n
n
air
e,
f
iv
e
clu
s
ter
s
ar
e
co
n
s
id
er
ed
.
A
f
t
er
ch
o
o
s
in
g
t
w
o
s
u
p
er
io
r
clu
s
ter
s
,
th
e
g
i
v
en
p
ap
er
is
co
m
p
ar
ed
w
it
h
all
j
o
u
r
n
als
o
f
th
o
s
e
clu
s
ter
s
.
T
ab
le
5
s
h
o
w
s
th
e
v
alu
e
o
f
ea
ch
r
u
le.
T
h
o
s
e
jo
u
r
n
als
w
h
ich
ar
e
co
n
tr
ad
icted
r
eg
ar
d
in
g
th
e
a
m
o
u
n
t
o
f
e
x
ac
t
v
ar
iab
le
s
(
lan
g
u
a
g
e
an
d
co
s
t)
ar
e
d
elete
d
f
r
o
m
t
h
e
co
m
p
ar
is
o
n
l
is
t.
I
n
t
h
e
en
d
,
at
m
o
s
t
1
0
j
o
u
r
n
als
w
ith
t
h
e
m
o
s
t si
m
i
lar
i
t
y
ar
e
s
h
o
w
n
.
T
ab
le
5
.
R
u
les
'
v
al
u
e
i
n
f
i
n
al
e
v
alu
a
tio
n
5
4
3
2
1
R
u
l
e
0
.
2
0
.
2
0
.
1
0
.
1
0
.
4
3.
SAM
P
L
E
So
f
ar
,
2
8
2
6
j
o
u
r
n
als
ar
e
r
eg
is
ter
ed
in
E
ls
ev
ier
a
m
o
n
g
w
h
i
ch
1
4
0
titl
es
ar
e
in
th
e
f
ield
o
f
co
m
p
u
ter
s
cien
ce
.
T
h
e
s
tatis
tical
a
n
al
y
s
is
o
f
t
h
e
d
atab
ase
b
ased
o
n
th
e
e
v
al
u
atio
n
cr
iter
io
n
,
i.e
.
d
ata
en
ter
ed
to
th
e
an
d
r
o
id
s
y
s
te
m
ar
e
p
r
esen
ted
i
n
Gr
ap
h
s
1
-
5
.
T
h
is
o
v
er
v
ie
w
o
f
d
atab
ase
g
i
v
es
a
b
etter
u
n
d
er
s
tan
d
i
n
g
ab
o
u
t t
h
e
p
ap
er
s
'
p
r
o
f
iles
a
n
d
th
e
f
i
n
d
i
n
g
s
o
f
a
n
d
r
o
id
s
y
s
te
m
.
T
h
e
q
u
alit
y
d
is
tr
ib
u
tio
n
i
s
p
r
esen
te
d
in
Gr
ap
h
1
w
h
ich
s
h
o
w
s
th
at
m
o
s
t o
f
j
o
u
r
n
al
s
ar
e
p
lace
d
in
av
er
a
g
e
an
d
g
o
o
d
g
r
o
u
p
s
.
So
m
e
j
o
u
r
n
als ca
n
b
e
p
lace
d
in
m
o
r
e
t
h
an
o
n
e
g
r
o
u
p
,
s
o
th
e
s
u
m
o
f
all
t
h
e
j
o
u
r
n
als
is
m
o
r
e
th
a
n
1
4
0
in
th
e
F
i
g
u
r
e.
Gr
ap
h
s
2
an
d
3
illu
s
tr
ate
t
h
at
w
aiti
n
g
ti
m
e
f
o
r
j
u
d
g
m
en
t
an
d
p
u
b
lica
tio
n
o
f
p
ap
er
s
ar
e
g
en
er
all
y
m
o
r
e
th
an
t
w
o
m
o
n
t
h
s
.
Gr
ap
h
4
d
e
m
o
n
s
tr
ates
t
h
at
th
e
n
u
m
b
er
o
f
j
o
u
r
n
als
i
n
d
if
f
er
en
t
ar
ea
s
is
al
m
o
s
t
t
h
e
s
a
m
e.
Gr
ap
h
s
h
o
w
ed
th
at
m
o
s
t
o
f
j
o
u
r
n
als
d
o
n
’
t
h
a
v
e
an
y
r
estric
tio
n
s
r
e
g
ar
d
in
g
th
e
n
u
m
b
er
o
f
p
ag
es
f
o
r
th
e
s
e
n
t p
ap
er
s
.
Gr
ap
h
1
.
Qu
alit
y
0
10
20
30
40
50
60
70
80
90
N
o
t
g
o
o
d
A
v
e
r
a
g
e
G
o
o
d
Ex
c
e
l
e
n
t
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4752
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l.
12
,
No
.
2
,
No
v
e
m
b
er
2
0
1
8
:
8
1
4
–
8
2
3
820
Gr
ap
h
2
.
W
aitin
g
ti
m
e
f
o
r
j
u
d
g
m
e
n
t
Gr
ap
h
3
.
W
aitin
g
ti
m
e
f
o
r
p
u
b
licatio
n
Gr
ap
h
4
.
Dif
f
er
e
n
t a
r
ea
s
Gr
ap
h
5
.
Nu
m
b
er
o
f
p
ag
es
f
o
r
th
e
s
e
n
t p
ap
er
s
0
10
20
30
40
50
60
70
80
Le
ss t
h
a
n
1
m
1
-
2
m
2
-
4
m
M
o
r
e
t
h
a
n
4
m
0
10
20
30
40
50
60
70
Le
ss t
h
a
n
1
m
1
-
2
m
2
-
4
m
M
o
r
e
t
h
a
n
4
m
0
10
20
30
40
50
60
70
80
S
o
f
t
w
a
r
e
H
a
r
d
w
a
r
e
A
r
t
i
f
i
c
i
a
l
i
n
t
e
l
l
i
g
e
n
c
e
N
e
t
w
o
r
k
0
20
40
60
80
M
o
r
e
t
h
a
n
2
0
p
1
5
-
2
0
p
1
0
-
1
4
p
7
-
9
p
Le
ss t
h
a
n
7
p
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4752
A
C
l
u
s
teri
n
g
E
xp
ert S
ystem
U
s
in
g
P
a
r
ticle
S
w
a
r
m
Op
timiz
a
tio
n
A
n
d
K
-
Mea
n
s
…
(
S
ey
ed
eh
Ma
lih
e
K
h
a
ta
mi
)
821
So
f
ar
,
s
t
u
d
en
t
s
a
n
d
r
esear
ch
er
s
h
a
v
e
c
h
o
s
en
th
e
s
u
itab
le
j
o
u
r
n
al
to
p
u
b
li
s
h
t
h
eir
p
ap
er
s
b
ased
o
n
th
eir
p
er
s
o
n
al
e
x
p
er
ien
ce
o
r
g
u
id
an
ce
o
f
an
e
x
p
er
t,
an
d
n
o
an
d
r
o
id
s
y
s
te
m
w
a
s
d
es
ig
n
ed
to
s
o
lv
e
t
h
i
s
p
r
o
b
lem
.
W
ith
u
n
a
v
ailab
ili
t
y
o
f
an
ex
p
er
t,
t
h
is
p
r
o
ce
s
s
w
as
ti
m
e
-
co
n
s
u
m
i
n
g
an
d
s
o
m
eti
m
es
s
o
m
e
m
is
ta
k
e
s
w
er
e
h
ap
p
en
ed
s
u
c
h
as
p
u
b
li
s
h
i
n
g
a
r
ich
p
ap
er
in
a
w
ea
k
j
o
u
r
n
al,
s
ev
er
al
s
en
d
i
n
g
o
f
a
n
av
er
a
g
e
o
r
w
ea
k
p
ap
er
to
r
ich
j
o
u
r
n
als,
etc.
Ou
r
d
esi
g
n
ed
s
y
s
te
m
p
r
o
v
id
e
s
a
li
s
t
o
f
s
u
g
g
e
s
ted
j
o
u
r
n
als
f
o
r
a
g
iv
e
n
p
ap
er
.
T
h
e
s
y
s
te
m
m
a
n
ag
er
h
as
i
n
s
er
ted
th
e
p
r
o
f
ile
o
f
j
o
u
r
n
al
in
th
e
d
atab
ase
Fi
g
u
r
e
4
.
Qu
est
io
n
n
air
e
'
s
p
ar
a
m
eter
s
ar
e
m
ad
e
o
f
t
h
e
in
p
u
t
d
ata
to
th
e
an
d
r
o
id
s
y
s
te
m
.
T
h
e
ch
ec
k
b
o
x
n
ex
t
to
s
o
m
e
o
p
tio
n
s
allo
w
s
th
eir
i
n
ef
f
ec
ti
v
e
n
es
s
.
I
n
th
e
p
r
esen
t
u
s
e
o
f
t
h
e
ca
s
e
s
t
u
d
y
,
j
u
s
t
la
n
g
u
a
g
e
a
n
d
co
s
t
ar
e
clo
s
e
l
y
e
x
a
m
i
n
ed
.
B
y
clic
k
i
n
g
o
n
t
h
e
"
r
eg
is
ter
"
b
u
tto
n
,
th
e
en
ter
ed
j
o
u
r
n
al
is
r
eg
is
ter
ed
in
th
e
d
atab
ase.
B
y
p
r
ess
i
n
g
t
h
e
"
p
er
f
o
r
m
in
g
th
e
q
u
esti
o
n
n
air
e"
b
u
tto
n
,
t
h
e
p
r
esen
t
q
u
esti
o
n
n
a
ir
e
f
o
r
t
h
e
a
n
d
r
o
id
s
y
s
te
m
is
r
u
n
s
o
t
h
at
j
o
u
r
n
a
ls
g
e
t
m
atc
h
ed
w
it
h
t
h
e
g
i
v
en
p
ap
er
Fig
u
r
e
5
.
T
h
en
,
t
h
e
r
es
u
lts
o
f
t
h
e
a
n
d
r
o
id
s
y
s
te
m
b
y
ex
a
m
i
n
i
n
g
t
h
e
q
u
e
s
tio
n
n
air
e
alo
n
g
w
i
th
t
h
e
j
o
u
r
n
als
'
ev
a
l
u
atio
n
s
i
g
n
w
i
ll b
e
s
h
o
w
n
Fi
g
u
r
e
6
.
Fig
u
r
e
4
.
P
r
o
f
ile
o
f
j
o
u
r
n
al
Fig
u
r
e
5
.
User
in
ter
f
ac
e
s
in
t
h
e
q
u
er
y
o
f
th
e
e
x
p
er
t s
y
s
te
m
Fig
u
r
e
6
.
Qu
er
y
r
es
u
lts
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4752
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l.
12
,
No
.
2
,
No
v
e
m
b
er
2
0
1
8
:
8
1
4
–
8
2
3
822
T
o
test
an
d
e
v
alu
ate
t
h
e
g
i
v
e
n
s
y
s
te
m
,
2
0
0
p
ap
er
s
ar
e
r
an
d
o
m
l
y
c
h
o
s
e
n
a
n
d
g
iv
e
n
t
o
it
.
Fo
r
ev
er
y
p
ap
er
,
s
y
s
te
m
h
a
s
r
ec
o
m
m
e
n
d
ed
5
t
o
1
0
j
o
u
r
n
als.
T
h
e
r
ec
o
m
m
en
d
atio
n
lis
t
is
g
i
v
en
to
1
0
ex
p
er
ts
in
clu
d
i
n
g
co
m
p
u
ter
teac
h
er
s
to
e
v
alu
a
te
s
o
t
h
at
ea
c
h
o
f
th
e
m
ev
al
u
at
es
t
h
e
s
y
s
te
m
's
r
ec
o
m
m
en
d
ati
o
n
s
f
o
r
2
0
p
ap
er
s
.
E
ac
h
ex
p
er
t
h
as
g
iv
e
n
a
0
to
5
m
ar
k
to
ev
er
y
s
u
g
g
e
s
tio
n
a
n
d
all
in
all
1
0
0
0
m
ar
k
s
f
o
r
2
0
0
s
u
g
g
e
s
tio
n
s
.
Fo
r
a
m
o
r
e
e
v
al
u
atio
n
,
t
h
e
r
es
u
lts
o
f
t
h
is
e
v
al
u
atio
n
h
a
v
e
b
ee
n
co
m
p
ar
ed
w
it
h
t
h
e
r
es
u
lts
o
f
a
f
u
zz
y
e
x
p
er
t
s
y
s
te
m
s
i
m
ilar
to
w
h
at
A
r
ia
s
-
Aar
an
d
a
et
al.
[
1
7
]
an
d
A
k
b
ar
za
d
eh
&
So
lei
m
a
n
i
[
2
2
]
h
a
v
e
p
r
ese
n
ted
.
T
ab
le
6
w
h
ic
h
h
as
b
ee
n
ac
h
ie
v
ed
af
ter
5
ti
m
es
test
i
n
g
p
r
o
ce
s
s
,
s
h
o
w
s
th
at
th
e
p
r
ec
is
io
n
o
f
all
th
e
3
m
et
h
o
d
s
is
v
er
y
s
i
m
ilar
,
b
u
t th
e
ti
m
e
n
ee
d
ed
f
o
r
o
u
r
s
u
g
g
e
s
ted
m
et
h
o
d
is
m
u
c
h
les
s
.
T
ab
le
6
.
T
h
e
av
er
ag
e
p
r
ec
is
io
n
an
d
ti
m
e
f
o
r
5
t
i
m
e
s
p
er
f
o
r
m
in
g
f
o
r
2
0
0
p
ap
e
r
s
t
i
me
(
se
c
o
n
d
s)
P
r
e
c
i
si
o
n
(
%)
3
5
2
9
2
.
7
Ex
p
e
r
t
sy
st
e
m
A
r
i
a
s
-
A
a
r
a
n
d
a
e
t
a
l
.
(
2
0
1
0
)
[
1
7
]
1
5
6
9
2
.
1
Ex
p
e
r
t
sy
st
e
m
A
k
b
a
r
z
a
d
e
h
&
S
o
l
e
i
man
i
(
2
0
1
4
)
[
2
2
]
1
3
2
9
2
.
5
S
u
g
g
e
st
e
d
e
x
p
e
r
t
sy
st
e
m
4.
CO
NCLU
SI
O
N
I
n
t
h
is
p
ap
er
,
a
h
y
b
r
id
an
d
r
o
id
s
y
s
te
m
f
o
r
r
ec
o
m
m
e
n
d
i
n
g
th
e
s
u
itab
le
j
o
u
r
n
al
to
p
u
b
li
s
h
a
g
i
v
e
n
p
ap
er
h
as b
ee
n
d
ev
e
lo
p
ed
.
T
h
e
s
u
g
g
ested
j
o
u
r
n
al
s
ar
e
ch
o
s
e
n
f
r
o
m
a
m
o
n
g
r
e
g
is
ter
ed
j
o
u
r
n
als i
n
t
h
e
co
m
p
u
ter
f
ield
i
n
E
ls
e
v
ier
'
s
j
o
u
r
n
al
s
.
T
h
e
s
y
s
te
m
's
p
er
f
o
r
m
a
n
ce
f
o
r
jo
u
r
n
al
r
ec
o
m
m
en
d
atio
n
w
it
h
5
ap
p
r
o
x
i
m
a
te
cr
iter
ia
(
q
u
alit
y
,
w
ait
in
g
ti
m
e
f
o
r
j
u
d
g
m
e
n
t,
w
a
iti
n
g
ti
m
e
f
o
r
p
u
b
licatio
n
a
f
ter
ac
ce
p
ta
n
c
e,
f
ield
,
le
n
g
t
h
o
f
p
ap
er
)
w
it
h
th
e
i
m
p
o
r
tan
ce
p
r
esen
ted
in
T
ab
le
5
an
d
2
p
r
ec
is
e
cr
iter
ia
(
lan
g
u
a
g
e
an
d
co
s
t
)
is
ex
a
m
i
n
ed
.
T
h
e
p
r
eli
m
in
ar
y
clu
s
te
r
in
g
o
f
d
ata
b
ase
lead
s
to
th
e
d
ec
r
ea
s
e
in
th
e
n
u
m
b
er
o
f
co
m
p
ar
is
o
n
s
a
n
d
in
cr
ea
s
e
i
n
th
e
s
p
ee
d
o
f
th
e
r
esp
o
n
s
e
p
r
o
ce
s
s
to
th
e
u
s
er
.
RE
F
E
R
E
NC
E
S
[1
]
J.
Ch
ia
-
F
e
n
g
,
H.
Ch
e
-
M
e
n
g
,
H.
Ch
ia
-
Hu
n
g
,
“
Hie
ra
rc
h
ica
l
c
lu
ste
r
-
b
a
se
d
m
u
lt
isp
e
c
ies
p
a
rti
c
le
-
sw
a
rm
o
p
ti
m
iza
ti
o
n
fo
r
f
u
z
z
y
-
sy
ste
m
o
p
ti
m
iza
ti
o
n
”
,
IEE
E
T
ra
n
sa
c
ti
o
n
s o
n
Fu
zz
y
S
y
ste
ms
,
1
8
(2
0
1
0
)1
4
.
[2
]
D.
S
e
d
ig
h
iza
d
e
h
,
H.
M
a
z
a
h
e
rip
o
u
r,
“
Op
ti
m
iza
ti
o
n
o
f
m
u
lt
i
o
b
jec
ti
v
e
v
e
h
icle
ro
u
ti
n
g
p
ro
b
lem
u
sin
g
a
n
e
w
h
y
b
rid
a
lg
o
rit
h
m
b
a
se
d
o
n
p
a
rti
c
le
sw
a
rm
o
p
ti
m
iza
ti
o
n
a
n
d
a
rti
f
icia
l
b
e
e
c
o
lo
n
y
a
lg
o
rit
h
m
c
o
n
sid
e
rin
g
P
re
c
e
d
e
n
c
e
c
o
n
stra
in
ts”
.
Al
e
x
a
n
d
ria
En
g
in
e
e
rin
g
J
o
u
rn
a
l
,
(2
0
1
7
),
(A
rti
c
le i
n
P
re
ss
).
[3
]
K.
S
a
n
k
a
r,
K.
Krish
n
a
m
o
o
rth
y
,
“
A
n
t
b
a
se
d
ru
le
m
in
in
g
w
it
h
p
a
ra
ll
e
l
f
u
z
z
y
c
lu
ste
r”
,
Ad
v
a
n
c
e
s
in
In
fo
rm
a
ti
o
n
M
in
in
g
,
2
(2
0
1
0
)1
3
.
[4
]
A
.
Kh
o
rsa
n
d
ia,
S
.
Ho
ss
e
in
ian
,
A
.
G
h
a
z
a
n
f
a
ri,
“
M
o
d
if
ied
a
rti
f
icia
l
b
e
e
c
o
lo
n
y
a
lg
o
rit
h
m
b
a
se
d
o
n
f
u
z
z
y
m
u
lt
i
-
o
b
jec
ti
v
e
tec
h
n
iq
u
e
f
o
r
o
p
ti
m
a
l
p
o
w
e
r
f
lo
w
p
ro
b
lem
”
,
El
e
c
tric P
o
we
r S
y
ste
ms
Res
e
a
rc
h
,
9
5
(2
0
1
3
)
2
0
6
.
[5
]
D.H.
T
ra
n
,
M
.
Y.
Ch
e
n
g
,
A
.
D.
P
h
a
m
,
“
Us
in
g
F
u
z
z
y
Clu
ste
rin
g
Ch
a
o
ti
c
-
b
a
se
d
Dif
fe
re
n
ti
a
l
Ev
o
lu
ti
o
n
to
s
o
lv
e
m
u
lt
ip
le
re
so
u
rc
e
s
lev
e
li
n
g
in
th
e
m
u
lt
ip
le
p
ro
jec
ts
sc
h
e
d
u
l
in
g
p
r
o
b
lem
”
,
Al
e
x
a
n
d
ria
En
g
i
n
e
e
rin
g
J
o
u
rn
a
l
,
5
5
(
4
)
(2
0
1
6
)
1
5
4
1
.
[6
]
E.
E.
Nit
h
il
a
,
S
.
S
.
Ku
m
a
r,
“
S
e
g
m
e
n
tatio
n
o
f
lu
n
g
n
o
d
u
le
in
CT
d
a
t
a
u
sin
g
a
c
ti
v
e
c
o
n
t
o
u
r
m
o
d
e
l
a
n
d
F
u
z
z
y
C
-
m
e
a
n
c
lu
ste
rin
g
”
,
Al
e
x
a
n
d
ria
En
g
in
e
e
ri
n
g
J
o
u
rn
a
l
,
5
5
(
3
)
(
2
0
1
6
)
2
5
8
3
.
[7
]
V
.
R
o
b
les
-
By
k
b
a
e
v
,
M
.
L
ó
p
e
z
-
No
re
s,
J.
P
a
z
o
s
-
A
rias
,
D.
A
ré
v
a
lo
-
L
u
c
e
ro
,
“
S
P
EL
TA
:
A
n
e
x
p
e
rt
s
y
s
tem
to
g
e
n
e
ra
te
th
e
ra
p
y
p
lan
s f
o
r
sp
e
e
c
h
a
n
d
la
n
g
u
a
g
e
d
iso
rd
e
rs”
,
Exp
e
rt
S
y
ste
ms
wi
th
A
p
p
l
ica
ti
o
n
s,
4
2
(
2
1
)(
2
0
1
5
)
7
6
4
1
.
[8
]
P
.
S
il
v
a
,
P
.
G
a
g
o
,
J.
Ca
rlo
s
Bre
g
ieiro
Rib
,
M
.
S
a
n
t
o
s,
F
.
P
o
rtela
,
A
.
A
b
e
lh
a
,
J.
M
a
c
h
a
d
o
,
F
.
P
i
n
t
o
,
“
A
n
Ex
p
e
rt
S
y
st
e
m
f
o
r
S
u
p
p
o
rti
n
g
T
ra
d
it
io
n
a
l
Ch
in
e
se
M
e
d
icin
e
Dia
g
n
o
sis
a
n
d
T
re
a
t
m
e
n
t”,
Pro
c
e
d
ia
T
e
c
h
n
o
lo
g
y
,
1
6
(
2
0
1
4
)
1
4
8
7
.
[9
]
T
.
P
a
d
m
a
a
,
P
.
Ba
las
u
b
ra
m
a
n
ie,
“
Do
m
a
in
e
x
p
e
rts
k
n
o
w
led
g
e
-
b
a
se
d
in
telli
g
e
n
t
d
e
c
isio
n
su
p
p
o
rt
sy
ste
m
in
o
c
c
u
p
a
ti
o
n
a
l
sh
o
u
ld
e
r
a
n
d
n
e
c
k
p
a
in
th
e
ra
p
y
”
,
Ap
p
li
e
d
S
o
ft
Co
mp
u
ti
n
g
,
1
1
(2
)(2
0
1
1
)
1
7
6
2
.
[1
0
]
H.A
.
El
k
a
y
a
l,
N.E
.
Ism
a
il
,
M
.
L
o
tf
y
,
“
M
icro
w
a
v
e
s
f
o
r
b
re
a
st
c
a
n
c
e
r
trea
tm
e
n
ts”
,
Al
e
x
a
n
d
ria
En
g
in
e
e
rin
g
J
o
u
rn
a
l,
5
4
(4
)
(2
0
1
5
)
1
1
0
5
.
[1
1
]
R.
Ra
m
e
z
a
n
i,
M
.
M
a
a
d
i,
S
.
M
.
Kh
a
tam
i,
“
A
n
o
v
e
l
h
y
b
rid
in
telli
g
e
n
t
sy
ste
m
w
it
h
m
issin
g
v
a
lu
e
im
p
u
tatio
n
f
o
r
d
iab
e
tes
d
iag
n
o
sis”
,
Al
e
x
a
n
d
ria
En
g
in
e
e
rin
g
J
o
u
rn
a
l,
(2
0
1
7
),
(A
rti
c
le i
n
P
re
s
s).
[1
2
]
R
.
T
u
c
h
o
,
J
.
S
i
e
r
r
a
,
J
.
F
e
r
n
n
d
e
z
,
R
.
V
i
j
a
n
d
e
,
G
.
M
o
r
s
,
“
E
x
p
e
r
t
t
u
t
o
r
i
n
g
s
y
s
t
e
m
f
o
r
t
e
a
c
h
i
n
g
m
e
c
h
a
n
i
c
a
l
e
n
g
in
e
e
rin
g
”
,
Exp
e
rt S
y
ste
ms
wit
h
Ap
p
li
c
a
ti
o
n
s,
2
4
,
(4
)(2
0
0
3
)
4
1
5
.
[
1
3
]
A
k
a
sh
d
e
e
p
,
K.
Ka
h
lo
n
,
“
A
n
e
m
b
e
d
d
e
d
f
u
z
z
y
e
x
p
e
rt
sy
ste
m
f
o
r
a
d
a
p
ti
v
e
W
F
Q
sc
h
e
d
u
l
in
g
o
f
IEE
E
8
0
2
.
1
6
n
e
tw
o
rk
s”
,
Exp
e
rt S
y
ste
ms
wit
h
Ap
p
li
c
a
ti
o
n
s,
4
1
(1
6
)(2
0
1
4
)
7
6
2
1
.
[
1
4
]
D.
M
a
,
Y.
L
ian
g
,
X
.
Z
h
a
o
,
R.
G
u
a
n
,
X
.
S
h
i,
“
M
u
lt
i
-
B
P
e
x
p
e
r
t
s
y
ste
m
f
o
r
f
a
u
lt
d
iag
n
o
sis
o
f
p
o
w
e
r
s
y
ste
m
”
,
En
g
i
n
e
e
rin
g
Ap
p
li
c
a
ti
o
n
s
o
f
Arti
fi
c
ia
l
In
tell
ig
e
n
c
e
,
2
6
(
3
)(2
0
1
3
)
9
3
7
.
[
1
5
]
N.
R.
S
a
k
th
iv
e
l,
V
.
S
u
g
u
m
a
ra
n
,
B.
B.
Na
ir,
“
Co
m
p
a
riso
n
o
f
d
e
c
isio
n
tree
f
u
z
z
y
a
n
d
ro
u
g
h
se
t
-
f
u
z
z
y
m
e
th
o
d
s
f
o
r
f
a
u
lt
c
a
teg
o
riza
ti
o
n
o
f
m
o
n
o
-
b
lo
c
k
c
e
n
tri
f
u
g
a
l
p
u
m
p
”
,
M
e
c
h
a
n
ica
l
S
y
ste
ms
a
n
d
S
i
g
n
a
l
Pr
o
c
e
ss
in
g
,
(
2
0
1
0
).
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4752
A
C
l
u
s
teri
n
g
E
xp
ert S
ystem
U
s
in
g
P
a
r
ticle
S
w
a
r
m
Op
timiz
a
tio
n
A
n
d
K
-
Mea
n
s
…
(
S
ey
ed
eh
Ma
lih
e
K
h
a
ta
mi
)
823
[
1
6
]
S
.
T
a
sd
e
m
ir
,
I.
S
a
rit
a
s,
M
.
Cin
iv
i,
“
A
rti
f
icia
l
n
e
u
ra
l
n
e
tw
o
rk
a
n
d
f
u
z
z
y
e
x
p
e
rt
s
y
ste
m
c
o
m
p
a
riso
n
f
o
r
p
re
d
ictio
n
”
,
Exp
e
rt S
y
ste
ms
wit
h
A
p
p
l
ica
ti
o
n
s,
3
8
(
2
0
1
1
)
1
3
9
1
2
.
[
1
7
]
D.
A
rias
-
A
r
a
n
d
a
,
J.
Ca
stro
,
M
.
Na
v
a
rro
,
J.
S
n
c
h
e
z
,
J.
Zu
ri
ta,
“
A
f
u
z
z
y
e
x
p
e
rt
s
y
ste
m
f
o
r
b
u
sin
e
ss
m
a
n
a
g
e
m
e
n
t”,
Exp
e
rt S
y
ste
ms
wit
h
A
p
p
l
ica
ti
o
n
s,
3
7
(
2
0
1
0
)
7
5
7
0
.
[
1
8
]
Z.
Bin
g
ü
l
,
O.
Ka
ra
h
a
n
,
“
A
F
u
z
z
y
L
o
g
ic
Co
n
tro
ll
e
r
tu
n
e
d
w
it
h
P
S
O
f
o
r
DO
F
ro
b
o
t
traje
c
to
ry
c
o
n
tr
o
l”,
Exp
e
rt
S
y
ste
ms
wit
h
Ap
p
li
c
a
ti
o
n
s,
3
8
(
2
0
1
1
)
1
0
1
7
.
[
1
9
]
F
.
Olu
se
g
u
n
,
A
.
Olu
se
g
u
n
,
“
A
f
u
z
z
y
e
x
p
e
rt
s
y
ste
m
to
Tru
st
-
Ba
se
d
Ac
c
e
s
s
Co
n
tro
l
in
c
ro
w
d
so
u
rc
in
g
e
n
v
iro
n
m
e
n
ts”
,
Ap
p
li
e
d
Co
m
p
u
ti
n
g
a
n
d
I
n
fo
rm
a
t
ics
,
1
1
(2
)(
2
0
1
5
)
1
1
6
.
[
2
0
]
A
.
Drig
a
s,
S
.
Ko
u
re
m
e
n
o
s,
S
.
V
r
e
tt
o
s
,
J.
V
re
tt
a
ro
,
“
A
n
e
x
p
e
rt
sy
s
tem
f
o
r
jo
b
m
a
tch
in
g
o
f
th
e
u
n
e
m
p
lo
y
e
d
”
,
Exp
e
rt
S
y
ste
ms
wit
h
Ap
p
li
c
a
ti
o
n
s,
2
6
(
2
0
0
4
)
2
1
7
.
[
2
1
]
M
.
F
a
sa
n
g
h
a
ri
,
G
.
M
o
n
taz
e
r,
“
De
sig
n
a
n
d
im
p
lem
e
n
tatio
n
o
f
f
u
z
z
y
e
x
p
e
rt
sy
ste
m
f
o
r
T
e
h
ra
n
S
to
c
k
Ex
c
h
a
n
g
e
p
o
rtf
o
li
o
re
c
o
m
m
e
n
d
a
ti
o
n
”
,
Exp
e
rt S
y
ste
ms
wit
h
Ap
p
li
c
a
ti
o
n
s,
v
o
l.
3
7
(9
)(2
0
1
0
)
6
1
3
8
.
[2
2
]
F
.
A
k
b
a
rz
a
d
e
h
,
A
.
S
o
leim
a
n
i,
“
A
n
e
x
p
e
rt
sy
ste
m
f
o
r
jo
u
rn
a
l
re
c
o
m
m
e
n
d
a
ti
o
n
”
,
in
p
e
rsia
,
in
1
2
th
Ira
n
ia
n
Co
n
fer
e
n
c
e
o
n
In
telli
g
e
n
t
S
y
ste
ms
,
Ira
n
,
Ba
m
,
2
0
1
4
.
[2
3
]
"
e
lse
v
ier,"
[
On
li
n
e
]
.
A
v
a
il
a
b
le:
h
tt
p
:/
/w
w
w
.
e
lse
v
ier.co
m
/j
o
u
rn
a
ls/su
b
jec
ts/co
m
p
u
ter
-
sc
ien
c
e
.
[
A
c
c
e
ss
e
d
0
9
0
2
2
0
1
3
]
.
[2
4
]
J.
Ke
n
n
e
d
y
,
R.
Eb
e
rh
a
rt,
“
P
a
rti
c
le S
w
a
rm
Op
ti
m
iza
ti
o
n
”
,
in
Ne
u
ra
l
Ne
two
rk
s
,
P
e
rth
,
W
A
,
1
9
9
5
.
[2
5
]
X
.
Ya
n
g
,
J.
Yu
a
n
,
J.
Yu
a
n
,
M
.
M
a
o
,
“
A
m
o
d
if
ied
p
a
rti
c
le
sw
a
rm
o
p
ti
m
ize
r
w
it
h
d
y
n
a
m
ic
a
d
a
p
tatio
n
”
,
M
a
th
e
ma
ti
c
s a
n
d
Co
mp
u
ta
ti
o
n
,
(2
0
0
7
)
1205.
[2
6
]
M
.
M
a
ru
f
Öz
tü
rk
,
U.
Ca
v
u
so
g
lu
,
A
.
Zen
,
“
A
n
o
v
e
l
d
e
f
e
c
t
p
re
d
ictio
n
m
e
th
o
d
f
o
r
w
e
b
p
a
g
e
s
u
sin
g
k
-
m
e
a
n
s+
+
”
,
Exp
e
rt S
y
ste
ms
wit
h
Ap
p
li
c
a
ti
o
n
s,
4
2
,
(1
9
)(2
0
1
5
)
6
4
9
6
.
[
2
7
]
D.
A
rth
u
r
a
n
d
S
.
V
a
ss
il
v
it
sk
ii
,
"
k
-
m
e
a
n
s+
+
:
T
h
e
a
d
v
a
n
tag
e
s
o
f
c
a
re
f
u
l
se
e
d
in
g
,
"
In
Pro
c
e
e
d
in
g
s
o
f
th
e
e
ig
h
tee
n
th
a
n
n
u
a
l
ACM
-
S
IAM
sy
mp
o
s
iu
m o
n
d
isc
re
te a
lg
o
rith
ms
,
p
.
1
0
2
7
–
1
0
3
5
,
2
0
0
7
.
Evaluation Warning : The document was created with Spire.PDF for Python.