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201
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1863
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I
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2088
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8708
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2088
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
8
,
No
.
3
,
J
u
n
e
201
8
:
1
8
6
3
–
1869
1864
n
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8]
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9
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eg
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ee
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eg
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m
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r
o
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ec
ted
.
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h
e
n
ee
d
ed
co
n
d
itio
n
f
o
r
m
a
x
i
m
izi
n
g
e
n
tr
o
p
y
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u
n
ctio
n
is
al
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o
a
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ticu
lated
.
B
ased
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n
d
itio
n
,
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ac
ti
v
e
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r
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s
f
o
r
th
r
ee
lev
el
th
r
es
h
o
ld
in
g
is
o
b
tai
n
ed
.
Fig
u
r
e
1
.
Var
io
u
s
E
d
g
e
Dete
ct
io
n
T
ec
h
n
iq
u
es
If
-
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n
r
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les
m
et
h
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n
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er
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as
th
e
m
o
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co
m
m
o
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al
g
o
r
ith
m
in
ed
g
e
d
etec
tio
n
al
g
o
r
ith
m
s
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ased
o
n
f
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zz
y
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ic.
Sp
ec
i
f
icall
y
,
a
s
s
u
m
i
n
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n
ei
g
h
b
o
r
s
p
ix
el
s
o
f
th
e
ce
n
ter
p
ix
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is
th
e
f
ir
s
t
s
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,
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en
ap
p
l
y
i
n
g
f
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zz
y
s
y
s
te
m
in
ter
f
er
en
ce
w
i
th
a
ce
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tain
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
th
at
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w
s
f
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zz
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ed
g
e
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etec
tio
n
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o
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e
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o
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e
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i
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le
.
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r
eo
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er
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estrictin
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tio
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ip
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e
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at
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ec
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ic
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m
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n
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ed
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e.
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n
t
h
is
w
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k
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ese
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t
a
n
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ith
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s
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ased
o
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h
e
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zz
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ir
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et
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av
e
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s
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o
r
m
it
b
ac
k
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o
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ig
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al
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o
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ai
n
(
0
–
2
5
5
)
an
d
estab
lis
h
ed
th
e
t
h
r
es
h
o
ld
.
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:
2088
-
8708
F
u
z
z
y
Lo
g
ic
b
a
s
ed
E
d
g
e
Dete
ctio
n
Meth
o
d
fo
r
I
ma
g
e
P
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ce
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s
in
g
(
A
b
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u
lr
a
h
ma
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Mo
ffa
q
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la
w
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)
1865
2.
F
U
Z
Z
Y
L
O
G
I
C
T
E
CH
N
I
Q
UE
I
t
ca
n
d
ef
in
e
f
u
zz
y
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m
ag
e
p
r
o
ce
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s
in
g
as
t
h
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w
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as
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b
lag
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et
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g
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s
eg
m
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d
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et
s
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h
e
m
o
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ep
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u
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m
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g
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o
ce
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i
n
g
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as
th
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ee
m
ai
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tag
e
s
:
i
m
a
g
e
f
u
zz
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f
icat
io
n
,
m
o
d
i
f
icatio
n
o
f
m
e
m
b
er
s
h
ip
v
al
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e
s
,
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d
,
if
n
ee
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ed
,
im
ag
e
d
e
f
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zz
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f
icat
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n
.
T
h
e
f
u
zz
if
icatio
n
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d
d
ef
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zz
if
icatio
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s
tep
s
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m
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ata
(
f
u
zz
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f
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atio
n
)
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d
d
ec
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g
o
f
t
h
e
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lts
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d
e
f
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zz
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f
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io
n
)
.
T
h
ese
s
t
ep
s
m
a
k
e
p
o
s
s
ib
le
to
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r
o
ce
s
s
im
a
g
es
w
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th
f
u
zz
y
tech
n
iq
u
e
.
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h
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o
r
e,
th
e
co
d
in
g
o
f
i
m
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g
e
d
ata
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f
u
zz
if
ica
tio
n
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d
d
ec
o
d
in
g
o
f
th
e
r
esu
lts
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d
ef
u
zz
i
f
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n
)
a
r
e
th
e
m
o
s
t
i
m
p
o
r
tan
t
s
ta
g
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th
at
p
r
o
v
id
es
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s
w
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th
t
h
e
ab
ilit
y
to
h
a
n
d
le
th
e
i
m
a
g
e
w
it
h
tech
n
iq
u
e
s
as s
h
o
w
n
i
n
F
i
g
u
r
e
2
[
1
0
]
.
Fig
u
r
e
2
.
Step
s
in
v
o
lv
ed
i
n
F
u
zz
y
i
m
a
g
e
p
r
o
ce
s
s
i
n
g
T
h
e
m
o
s
t
e
f
f
ec
ti
v
e
ele
m
e
n
t
o
f
f
u
zz
y
i
m
ag
e
p
r
o
ce
s
s
i
n
g
is
th
a
t
w
e
ca
n
o
b
s
er
v
e
it
i
n
th
e
m
id
d
le
s
tag
e,
w
h
ic
h
is
m
o
d
if
ica
tio
n
o
f
m
e
m
b
er
s
h
ip
v
al
u
es
o
r
w
e
ca
n
ca
l
l
it
th
e
i
n
telli
g
e
n
ce
s
tep
,
b
ec
au
s
e
th
is
s
tep
s
m
ak
e
s
th
e
d
i
f
f
er
en
ce
b
et
w
ee
n
ap
p
r
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ac
h
ed
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d
a
n
o
th
er
o
n
e.
F
u
zz
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lo
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ic
i
s
c
h
ar
ac
ter
ized
b
y
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lar
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ar
iet
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m
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m
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e
r
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ip
s
f
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n
ctio
n
a
s
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h
o
w
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i
n
F
i
g
u
r
e
3
,
ea
ch
o
n
e
o
f
th
e
m
h
as
it
s
d
is
t
in
ct
iv
e
ef
f
ec
t.
Utilizi
n
g
ap
p
r
o
p
r
iate
m
e
m
b
er
s
h
ip
b
y
f
u
zz
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s
y
s
te
m
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n
f
er
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n
ce
is
i
n
cr
ea
s
ed
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h
e
ef
f
ec
tiv
e
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ess
o
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e
m
et
h
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d
.
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h
is
m
et
h
o
d
ass
u
m
e
s
th
e
ad
j
ac
en
t p
o
in
ts
o
f
p
ix
els t
h
e
n
d
iv
id
e
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e
m
i
n
to
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e
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b
y
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s
i
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g
m
e
m
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er
s
h
ip
f
u
n
ctio
n
[
11
]
.
Fig
u
r
e
3
.
T
y
p
es o
f
f
u
zz
y
m
e
m
b
er
s
h
ip
f
u
n
ct
io
n
s
An
i
m
ag
e
to
b
e
h
a
n
d
le
in
t
h
e
f
u
zz
y
lo
g
ic
tec
h
n
o
lo
g
y
,
i
t
h
as
to
b
e
co
n
v
er
ted
as
a
g
r
a
y
le
v
el
th
en
co
n
v
er
ed
it
i
n
to
a
m
e
m
b
e
r
s
h
ip
f
u
n
ctio
n
(
F
u
zz
i
f
icatio
n
s
tep
)
w
h
er
e
its
v
al
u
e
ca
n
b
e
r
ea
d
il
y
ad
j
u
s
ted
b
y
f
u
zz
y
tech
n
o
lo
g
y
.
T
h
is
c
o
u
ld
eith
er
b
e
ca
lled
a
f
u
zz
y
clu
s
ter
in
g
,
a
f
u
zz
y
r
u
le
-
b
ased
ap
p
r
o
ac
h
or
a
f
u
zz
y
in
te
g
r
atio
n
ap
p
r
o
ac
h
.
Fu
zz
y
i
m
ag
e
p
r
o
ce
s
s
i
n
g
is
ess
e
n
tia
l
to
f
in
d
o
u
t
th
e
u
n
ce
r
t
ai
n
t
y
d
ata.
T
h
er
e
ar
e
m
an
y
ad
v
an
ta
g
es o
f
i
m
a
g
e
p
r
o
ce
s
s
i
n
g
b
ased
o
n
f
u
zz
y
lo
g
ic
s
u
ch
a
s
:
a.
Fu
zz
y
tech
n
iq
u
e
s
ar
e
p
r
ed
o
m
i
n
ati
n
g
to
o
ls
i
n
o
r
d
er
to
r
e
p
r
esen
t a
n
d
p
r
o
ce
s
s
i
n
g
a
n
i
m
ag
e.
b.
I
t p
r
o
v
id
es u
s
a
w
a
y
to
h
a
n
d
le
an
d
m
a
n
g
e
o
b
s
c
u
r
it
y
e
f
f
icie
n
c
y
.
c.
T
h
e
co
n
ce
p
t o
f
th
e
f
u
zz
y
lo
g
ic
is
ea
s
y
to
b
e
u
n
d
er
s
o
o
d
.
d.
Fu
zz
y
lo
g
ic
p
r
o
v
id
es a
h
u
g
e
f
l
ex
ib
ilit
y
.
e.
Fu
zz
y
lo
g
ic
i
s
ef
f
ec
ti
v
e
ev
e
n
i
f
th
e
d
ata
w
as i
n
ac
c
u
r
ate
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2088
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
8
,
No
.
3
,
J
u
n
e
201
8
:
1
8
6
3
–
1869
1866
T
h
e
r
ea
s
o
n
w
h
y
f
u
zz
y
lo
g
ic
is
b
etter
th
a
n
o
th
er
s
,
b
ec
au
s
e
ev
er
y
t
h
i
n
g
is
s
u
f
f
er
ed
f
r
o
m
lack
i
n
g
o
f
ex
a
ctn
e
s
s
w
h
ile
f
u
zz
y
lo
g
ic
s
tr
u
ctu
r
e
s
its
u
n
d
er
s
ta
n
d
i
n
g
w
i
th
tak
i
n
g
i
n
to
ac
co
u
n
t.
I
n
s
e
v
er
al
i
m
ag
e
p
r
o
ce
s
s
in
g
ap
p
licatio
n
s
,
t
o
h
a
n
d
le
v
ar
io
u
s
t
y
p
es
o
f
co
m
p
le
x
itie
s
s
u
c
h
as
o
b
j
ec
t
r
ec
o
g
n
itio
n
an
d
s
ce
n
e
a
n
al
y
s
i
s
,
it
is
s
u
g
g
e
s
ted
to
u
ti
lize
t
h
e
h
u
m
a
n
lo
g
ic
ac
co
r
d
in
g
to
i
f
-
t
h
en
r
u
le
s
w
h
ich
ca
n
b
e
o
f
f
er
ed
b
y
f
u
zz
y
s
i
t
th
eo
r
y
an
d
f
u
zz
y
lo
g
ic.
On
t
h
e
o
th
er
h
an
d
,
m
a
n
y
r
ea
s
o
n
s
s
u
c
h
r
an
d
o
m
n
e
s
s
,
a
m
b
i
g
u
it
y
an
d
v
ag
u
e
n
es
s
lead
to
u
n
ce
r
tain
t
y
i
n
i
m
ag
e
p
r
o
ce
s
s
i
n
g
r
esu
l
t
an
d
d
ata.
Mo
r
e
o
v
er
,
th
o
s
e
u
n
ce
r
tain
ties
h
a
v
e
a
n
eg
at
i
v
e
i
m
p
ac
t o
n
i
m
a
g
e
p
r
o
ce
s
s
i
n
g
p
r
o
g
r
es
s
th
at
lead
s
to
m
an
y
d
i
f
f
ic
u
lt
ies
[
12
]
,
[
13
].
3.
P
RO
P
O
SE
D
M
E
T
H
O
D
I
n
th
is
p
ap
er
,
at
f
ir
s
t
an
i
n
p
u
t
i
m
a
g
e
is
r
ea
d
an
d
g
et
its
d
i
m
en
s
io
n
s
in
2
D.
T
h
en
,
ca
r
r
y
i
n
g
o
u
t
a
3
x
3
m
as
k
co
n
v
o
lu
t
io
n
,
u
s
in
g
t
h
e
te
m
p
lates a
r
e
s
h
o
w
n
i
n
Fi
g
u
r
e
4
.
T
h
ese1
6
f
u
zz
y
te
m
p
la
tesre
p
r
esen
ti
n
g
t
h
e
ed
g
e
s
h
ap
es
o
f
p
o
s
s
ib
ilit
y
d
is
s
i
m
ilar
.
Selecti
n
g
te
m
p
lates
to
i
m
itate
t
h
e
t
y
p
e
an
d
d
ir
ec
tio
n
o
f
ed
g
es
th
at
m
a
y
o
cc
u
r
.
T
e
m
p
late
s
ar
e
th
e
ex
a
m
p
le
o
f
th
e
ed
g
es,
w
h
ich
ar
e
also
th
e
i
m
a
g
es.
„
a‟
,
„
b
‟
,
an
d
0
ch
ar
ac
ter
i
ze
th
e
p
ix
els
o
f
th
e
ed
g
e
te
m
p
late
s
.
T
h
e
v
alu
es
o
f
an
d
ar
e
s
elec
ted
b
y
ex
p
er
i
m
en
ta
l
m
eth
o
d
.
T
h
ese
v
alu
e
s
ar
e
f
ix
ed
f
o
r
all
i
m
ag
e
s
.
I
t
is
s
u
p
p
le
m
en
tar
y
u
n
d
er
s
ta
n
d
th
at
i
f
w
e
i
n
cr
ea
s
e
th
e
n
u
m
b
er
o
f
te
m
p
lates
m
o
r
e
th
an
1
6
,
th
er
e
is
n
o
n
o
tab
le
i
m
p
r
o
v
e
m
en
t
i
n
th
e
ed
g
e
r
esu
lt
s
an
d
i
f
w
e
d
ec
r
ea
s
e
th
e
n
u
m
b
er
o
f
te
m
p
late
s
,
m
a
n
y
ed
g
es
w
ill b
e
m
is
s
ed
.
Fig
u
r
e
4
.
1
6
tem
p
lates
u
s
ed
i
n
d
etec
t
io
n
m
et
h
o
d
I
t
is
p
o
s
s
ib
le
to
s
a
y
th
a
t
w
it
h
1
6
te
m
p
l
at
es
w
e
ca
n
al
m
o
s
t
d
etec
t
all
th
e
ed
g
e
s
.
W
e
ce
n
ter
ea
ch
ce
n
ter
o
f
th
e
te
m
p
l
at
es a
t p
o
s
itio
n
(
i,j)
o
v
er
th
e
i
m
a
g
e
th
a
t
w
ill
g
et
p
r
o
ce
s
s
in
g
.
a.
F
in
d
i
n
g
h
esi
tatio
n
d
eg
r
ee
o
r
in
tu
itio
n
is
t
ic
f
u
zz
y
i
n
d
ex
u
s
in
g
t
h
e
f
o
llo
w
i
n
g
r
el
atio
n
s
h
ip
:
b.
(
1)
No
te:
w
e
p
u
t c
=
1
o
r
c=
0
.
2
w
h
ich
i
s
t
h
e
h
es
itatio
n
co
n
s
ta
n
t
f
o
r
i
m
a
g
e
as s
h
o
w
n
i
n
i
m
ag
e
s
.
c.
C
o
m
p
u
te
th
e
in
t
u
it
io
n
i
s
tic
f
u
zz
y
d
iv
er
g
e
n
ce
(
I
FD)
b
et
w
ee
n
ea
ch
ele
m
e
n
t
s
at
te
m
p
late
an
d
th
e
i
m
a
g
e
w
i
n
d
o
w
(
s
a
m
e
s
ize
as
t
h
at
o
f
te
m
p
late)
a
n
d
p
ick
t
h
e
m
i
n
i
m
u
m
I
FD
v
al
u
e
u
s
i
n
g
m
a
x
-
m
i
n
r
elatio
n
s
h
ip
as
f
o
llo
w
s
:
(
2
)
d.
P
lace
th
e
h
ig
h
e
s
t
co
n
s
eq
u
en
ce
at
th
e
p
o
in
t
w
h
e
r
e
w
e
ce
n
ter
ed
o
v
er
in
th
e
i
m
a
g
e.
e.
No
w
w
e
tr
an
s
f
o
r
m
b
ac
k
t
h
e
ed
g
e
i
m
a
g
e
f
r
o
m
f
u
zz
y
d
o
m
a
in
m
a
tr
ix
i
n
to
th
e
i
m
a
g
e
p
ix
e
l
d
o
m
ai
n
i
n
th
e
in
ter
v
a
l
(
1
–
2
5
5
)
b
y
m
u
ltip
l
y
i
n
g
it
w
ith
2
5
5
.
f.
Set a
th
r
es
h
o
ld
,
an
d
ap
p
ly
i
n
g
t
h
e
m
o
r
p
h
o
lo
g
ica
l o
p
er
ato
r
s
o
f
MA
T
L
A
B
.
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:
2088
-
8708
F
u
z
z
y
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a
s
ed
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d
g
e
Dete
ctio
n
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o
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r
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ma
g
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s
in
g
(
A
b
d
u
lr
a
h
ma
n
Mo
ffa
q
A
la
w
a
d
)
1867
4.
SI
M
UL
AT
I
O
N
R
E
S
UL
T
S
T
h
e
p
r
o
p
o
s
ed
m
et
h
o
d
u
s
ed
d
if
f
er
en
t
i
m
ag
e
s
s
u
c
h
as
R
ice,
U
m
ar
al
m
u
k
th
ar
an
d
L
e
n
a
,
it
is
clea
r
ly
s
h
o
w
n
t
h
at
t
h
e
o
u
tp
u
t
i
s
b
etter
ap
p
ea
r
an
ce
an
d
ea
s
ier
to
m
a
r
k
th
e
ed
g
e
o
f
th
e
i
m
a
g
e
if
we
co
m
p
ar
e
th
e
m
to
o
th
er
m
et
h
o
d
s
s
u
c
h
as c
a
n
n
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e
d
g
e
d
et
ec
to
r
.
T
h
e
s
i
m
u
latio
n
h
as b
ee
n
d
o
n
e
b
y
M
A
T
L
A
B
s
o
f
t
w
ar
e.
T
h
e
r
esu
lt o
f
th
e
m
et
h
o
d
ar
e
s
h
o
w
n
i
n
Fi
g
u
r
e
5
to
Fig
u
r
e
8
(
a)
R
ice
i
m
a
g
e
w
it
h
c
=
1
(
b
)
Um
ar
al
m
u
k
t
h
ar
i
m
a
g
e
w
it
h
c
=
1
Fig
u
r
e
5
.
T
h
e
r
esu
lt o
f
th
e
m
et
h
o
d
(
a)
R
ice
i
m
a
g
e
w
it
h
c
=
0
.
2
(
b
)
Um
ar
al
m
u
k
t
h
ar
i
m
a
g
e
w
it
h
c
=
0
.
2
Fig
u
r
e
6
.
T
h
e
r
esu
lt o
f
th
e
m
et
h
o
d
Fig
u
r
e
7
.
T
h
e
r
esu
lt o
f
th
e
m
et
h
o
d
o
n
th
e
C
el
l i
m
a
g
e
w
it
h
c=1
Fig
u
r
e
8
.
T
h
e
r
esu
lt o
f
th
e
m
et
h
o
d
o
n
th
e
C
el
l i
m
a
g
e
w
it
h
c=
1
an
d
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2088
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
8
,
No
.
3
,
J
u
n
e
201
8
:
1
8
6
3
–
1869
1868
T
ab
le
1
s
h
o
w
t
h
e
o
b
s
er
v
atio
n
s
w
it
h
d
if
f
er
e
n
t H
esit
a
tio
n
co
n
s
tan
t
.
T
ab
le
1
.
T
h
e
Ob
s
er
v
atio
n
s
w
it
h
d
if
f
er
en
t
He
s
itatio
n
C
o
n
s
ta
n
t
I
mag
e
H
e
si
t
a
t
i
o
n
c
o
n
st
a
n
t
T
h
r
e
sh
o
l
d
i
n
g
O
b
se
r
v
a
t
i
o
n
R
i
c
e
i
mag
e
0
.
2
45
C
l
e
a
r
e
d
g
e
U
maral
mu
k
h
t
a
r
i
mag
e
0
.
2
45
L
e
ss a
c
c
u
r
a
c
y
C
e
l
l
i
mag
e
1
/
0
.
2
45
H
i
g
h
a
c
c
u
r
a
c
y
C
e
l
l
i
mag
e
1
/
0
.
2
35
S
m
a
l
l
d
e
t
a
i
l
s
ha
v
e
a
p
p
e
a
r
ed
5.
CO
NCLU
SI
O
N
Fu
zz
y
i
m
ag
e
p
r
o
ce
s
s
in
g
i
s
a
b
en
ef
icial
tec
h
n
o
lo
g
y
o
f
a
n
ed
g
e
d
etec
tio
n
a
n
d
f
o
r
m
u
latio
n
o
f
ex
p
er
t
k
n
o
w
led
g
e
an
d
th
e
co
m
b
i
n
ati
o
n
o
f
i
m
p
r
ec
is
e
i
n
f
o
r
m
atio
n
f
r
o
m
d
i
f
f
er
e
n
t
s
o
u
r
ce
s
.
I
t
ca
n
b
e
r
ep
o
r
ted
th
at
th
e
r
esu
lt
s
o
f
th
i
s
alg
o
r
it
h
m
s
h
o
w
a
g
o
o
d
im
a
g
e
d
etec
tio
n
as
t
h
e
m
ed
ical
i
m
a
g
es
w
h
er
e
th
e
ac
cu
r
ac
y
o
f
ed
g
e
s
is
th
e
m
ai
n
o
b
j
ec
tiv
e
o
f
t
h
e
p
r
o
ce
s
s
.
Mo
r
eo
v
er
,
in
th
is
m
et
h
o
d
,
th
e
i
n
tu
itio
n
i
s
tic
f
u
zz
y
s
et
th
eo
r
y
w
a
s
u
s
ed
to
th
r
es
h
o
ld
i
m
a
g
e
a
n
d
w
e
g
et
a
b
etter
r
esu
lt
as
i
m
a
g
es
s
h
o
w
n
.
A
d
v
a
n
ta
g
e
o
f
t
h
i
s
tech
n
i
q
u
e
o
v
er
th
e
r
e
s
t
o
f
f
u
zz
y
tec
h
n
iq
u
es
is
its
ab
ili
t
y
t
o
b
e
ad
a
p
tiv
e
b
y
c
h
a
n
g
i
n
g
t
h
e
h
esit
at
io
n
co
n
s
tan
t
f
o
r
th
e
i
m
ag
e
o
r
ch
a
n
g
e
th
e
th
r
es
h
o
ld
lev
el
i
n
s
tead
o
f
h
av
i
n
g
a
co
n
s
ta
n
t
m
e
th
o
d
w
it
h
co
n
s
tan
t r
u
les as i
n
m
an
y
f
u
zz
y
m
eth
o
d
s
.
ACK
NO
WL
E
D
G
E
M
E
NT
S
T
h
e
au
th
o
r
s
ac
k
n
o
w
led
g
e
t
h
e
f
i
n
an
cia
l a
s
s
is
ta
n
ce
o
f
th
is
r
ese
ar
ch
w
h
ich
is
s
u
p
p
o
r
ted
b
y
th
e
R
esear
c
h
I
n
itiati
v
e
Gr
a
n
t
Sc
h
e
m
e
(
R
I
G
S
)
w
it
h
t
h
e
g
r
an
t
n
u
m
b
er
R
I
GS1
6
-
087
-
0251
an
d
I
n
t
er
n
atio
n
al
I
s
la
m
ic
Un
i
v
er
s
it
y
Ma
la
y
s
ia
(
I
I
UM
)
.
RE
F
E
R
E
NC
E
S
[1
]
C.
S
u
li
m
a
n
,
C.
Bo
ld
i
şo
r
,
R.
Bă
z
ă
v
a
n
,
F
.
M
o
ld
o
v
e
a
n
u
,
"
A
F
u
z
z
y
L
o
g
ic
B
a
se
d
M
e
th
o
d
,
"
E
n
g
i
n
e
e
rin
g
S
c
ien
c
e
s,
p
p
.
1
5
9
-
1
6
6
,
2
0
1
1
.
[2
]
P.
M
e
li
n
,
I.
Cla
u
d
ia,
J.
R.
G
o
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[3
]
D.
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m
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o
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ms
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v
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l.
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no.
2
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2
0
1
5
.
[4
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P
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z
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[5
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[6
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[7
]
S
.
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[9
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.
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0
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1
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3
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Z.
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ter
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s
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h
Un
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in
2
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tern
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Isla
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ic
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(IIUM
).
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re
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ica
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s.
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is
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n
a
c
ti
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f
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m
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rs M
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)
a
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d
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sti
tu
te
o
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in
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e
rs M
a
lay
sia
(IE
M
).
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