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20
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2938
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t
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re
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it
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n
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se
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s.
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h
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q
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e
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ts
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e
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th
e
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q
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o
ll
e
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ti
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o
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re
m
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n
t
h
e
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rm
o
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se
r
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ries
,
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a
m
e
ly
tex
t
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a
tu
ra
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g
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a
g
e
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e
m
e
th
o
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se
d
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h
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d
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ra
te n
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t
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ra
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tag
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th
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ies,
n
am
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tex
t
i
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n
atu
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lan
g
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ag
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[
1
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–
[
3
]
.
T
o
g
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a
b
etter
u
n
d
e
r
s
tan
d
in
g
o
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th
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r
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r
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er
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ies
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d
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am
s
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g
B
u
s
in
ess
Pro
ce
s
s
Mo
d
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g
an
d
No
t
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(
B
PMN)
d
iag
r
am
s
.
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PMN
is
a
g
r
ap
h
ical
s
tan
d
ar
d
f
o
r
m
o
d
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b
u
s
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ess
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r
o
ce
s
s
e
s
in
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s
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to
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n
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er
s
tan
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d
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a
m
m
atic
f
o
r
m
,
f
ac
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atin
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co
m
m
u
n
icatio
n
b
etwe
en
tech
n
ical
an
d
n
o
n
-
tech
n
ical
s
ta
k
eh
o
ld
er
s
[
4
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.
B
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ab
les
d
etailed
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r
o
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s
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aliza
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elp
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ef
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icien
cies
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d
ar
ea
s
f
o
r
im
p
r
o
v
e
m
en
t,
an
d
en
s
u
r
es
u
n
i
f
o
r
m
u
n
d
er
s
tan
d
in
g
am
o
n
g
team
m
em
b
er
s
[
5
]
.
B
PMN
also
s
u
p
p
o
r
ts
wo
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k
f
l
o
w
au
to
m
atio
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,
i
n
cr
ea
s
es
p
r
o
d
u
ctiv
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r
ed
u
ce
s
o
p
er
atio
n
al
co
s
ts
,
an
d
f
ac
ilit
ates
“wh
at
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if
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aly
s
is
f
o
r
m
o
r
e
in
f
o
r
m
e
d
d
ec
is
io
n
-
m
ak
in
g
[
6
]
,
[
7
]
.
At
f
ir
s
t,
B
PMN
d
iag
r
am
s
wer
e
em
p
lo
y
ed
f
o
r
m
o
d
ellin
g
p
r
o
ce
s
s
es
o
f
b
u
s
in
e
s
s
with
in
o
r
g
an
izatio
n
s
,
h
o
we
v
er
n
e
x
t
tim
e,
t
h
ese
d
iag
r
am
s
ar
e
in
itialized
f
o
r
r
e
q
u
ir
em
en
ts
v
is
u
aliza
tio
n
[
8
]
,
[
9
]
.
T
h
e
s
tu
d
y
[
1
0
]
f
o
u
n
d
n
o
s
ig
n
if
ican
t d
is
tin
ctio
n
b
etwe
en
B
PMN
d
iag
r
am
s
an
d
u
s
e
ca
s
e
d
iag
r
am
s
f
o
r
u
n
d
er
s
tan
d
in
g
s
o
f
twar
e
r
e
q
u
ir
em
e
n
ts
.
T
h
er
ef
o
r
e
,
B
PMN
d
iag
r
am
s
ar
e
s
lig
h
tly
p
r
ef
e
r
ab
l
e
r
ath
er
th
a
n
Use c
ase
d
iag
r
a
m
s
f
o
r
d
e
p
ictin
g
s
er
ies ac
tiv
ities
.
B
PMN
d
iag
r
am
s
ca
n
also
b
e
tr
a
n
s
f
o
r
m
e
d
in
to
o
th
er
ar
tef
ac
ts
in
s
o
f
twar
e
d
ev
el
o
p
m
en
t,
f
o
r
ex
am
p
le,
class
d
iag
r
am
s
[
1
1
]
an
d
th
e
tr
an
s
f
o
r
m
atio
n
o
f
B
PMN
in
to
a
u
s
e
ca
s
e
d
iag
r
am
[
1
2
]
.
Me
a
n
wh
ile,
b
u
s
in
ess
p
r
o
ce
s
s
es
in
th
e
f
o
r
m
o
f
d
ata
f
lo
w
d
iag
r
am
s
ar
e
g
e
n
er
ated
i
n
th
e
s
tu
d
y
[
1
3
]
.
C
o
n
v
er
s
io
n
f
r
o
m
tex
t
t
o
B
PMN
d
iag
r
am
s
h
as
b
ee
n
d
o
n
e
b
y
r
esear
ch
e
r
s
.
T
h
e
s
tu
d
ies
[
1
4
]
,
[
1
5
]
tr
an
s
lated
tex
t
in
p
u
t
in
to
B
PMN
d
iag
r
am
s
b
y
u
tili
zin
g
C
o
o
p
er
ativ
e
R
eq
u
ir
em
en
ts
E
n
g
in
ee
r
in
g
w
ith
Scen
a
r
io
s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J E
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&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8
7
0
8
Gen
era
tio
n
o
f b
u
s
in
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p
r
o
ce
s
s
mo
d
elin
g
n
o
ta
tio
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d
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g
r
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fr
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m
textu
a
l fu
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a
l …
(
S
h
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S
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)
2939
as
an
in
ter
m
ed
ia
r
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.
H
o
wev
er
,
th
ey
f
ailed
to
co
n
s
id
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m
p
le
x
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ten
ce
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tr
u
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r
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in
th
e
tex
t,
an
d
th
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m
et
h
o
d
in
[
1
1
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r
e
q
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ir
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eq
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e
n
tial
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ten
ce
s
in
in
p
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t,
wh
ich
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e
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iter
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p
r
o
ce
s
s
in
g
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L
ik
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th
is
s
tu
d
y
[
1
6
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ex
tr
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ted
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n
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t
te
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in
to
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PMN
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g
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ate
d
f
r
o
m
th
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tex
t.
T
h
e
s
tu
d
y
[
1
7
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em
p
l
o
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ed
a
s
p
r
ea
d
s
h
ee
t
-
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ased
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ter
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h
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h
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f
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r
s
th
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it o
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d
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b
u
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o
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ly
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ter
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ata
o
b
ject
s
.
Seco
n
d
,
th
e
ac
tiv
ity
ex
tr
ac
tio
n
p
r
o
ce
s
s
was
n
o
t
v
alid
ated
.
T
h
ir
d
,
th
e
ap
p
r
o
ac
h
was
n
o
t
test
ed
with
co
m
p
lex
o
r
co
m
p
o
u
n
d
s
en
te
n
ce
s
tr
u
ct
u
r
e
s
in
tex
t.
T
h
e
s
tu
d
y
[
1
8
]
im
p
r
o
v
es
th
e
ab
o
v
e
s
tu
d
ies
b
y
o
b
tain
in
g
an
ac
cu
r
ac
y
r
a
te
o
f
9
2
.
8
3
%.
T
h
e
ab
o
v
e
s
tu
d
i
es
wer
e
co
n
d
u
cted
u
s
in
g
E
n
g
lis
h
in
p
u
t te
x
t,
wh
ic
h
in
I
n
d
o
n
esian
h
as n
o
t b
ee
n
f
o
u
n
d
u
n
til n
o
w.
Gen
er
atin
g
B
PMN
d
iag
r
am
s
f
r
o
m
I
n
d
o
n
esian
lan
g
u
ag
e
f
u
n
ctio
n
al
r
eq
u
ir
em
en
ts
p
r
esen
ts
v
ar
io
u
s
ch
allen
g
es.
First,
I
n
d
o
n
esian
h
as
d
if
f
er
en
t
s
en
ten
ce
s
tr
u
c
tu
r
es
an
d
g
r
a
m
m
ar
to
E
n
g
li
s
h
.
I
n
d
o
n
esian
h
as
v
ar
iatio
n
s
in
th
e
u
s
e
o
f
wo
r
d
s
,
p
h
r
ases
an
d
c
o
n
ju
n
ctio
n
s
wh
ich
ca
n
ca
u
s
e
am
b
ig
u
ity
an
d
d
if
f
icu
lty
i
n
u
n
d
er
s
tan
d
i
n
g
th
e
co
n
tex
t
b
y
m
ac
h
in
es.
Seco
n
d
,
f
u
n
ctio
n
a
l
r
eq
u
ir
em
e
n
ts
wr
itten
in
I
n
d
o
n
esian
r
eq
u
ir
e
th
e
id
en
tific
atio
n
o
f
d
i
f
f
er
en
t
k
ey
wo
r
d
s
s
u
ch
as
ac
tiv
ities
,
d
ec
is
io
n
s
,
an
d
wo
r
k
f
lo
ws
r
eq
u
ir
ed
f
o
r
c
r
ea
tin
g
B
PMN
d
ia
g
r
am
s
[
1
9
]
.
T
h
i
r
d
,
th
er
e
is
a
lack
o
f
r
eso
u
r
ce
s
a
n
d
to
o
ls
th
a
t
s
p
ec
if
ically
s
u
p
p
o
r
t
n
atu
r
al
la
n
g
u
ag
e
p
r
o
ce
s
s
in
g
(
NL
P)
f
o
r
I
n
d
o
n
esian
s
.
Mo
s
t
ex
is
tin
g
NL
P
to
o
ls
an
d
d
atasets
f
o
cu
s
m
o
r
e
o
n
E
n
g
lis
h
,
s
o
d
ev
elo
p
in
g
to
o
ls
f
o
r
I
n
d
o
n
esian
r
eq
u
ir
es
ad
d
itio
n
al
ef
f
o
r
t
in
b
u
ild
i
n
g
m
o
d
els
an
d
tr
ain
in
g
o
n
ap
p
r
o
p
r
iate
d
ata
[
2
0
]
.
T
h
er
ef
o
r
e,
th
is
p
ap
er
p
r
o
p
o
s
es th
e
co
n
v
er
s
io
n
o
f
tex
tu
al
f
u
n
ctio
n
al
r
eq
u
ir
e
m
en
ts
in
I
n
d
o
n
esian
to
B
PMN
d
iag
r
am
s
to
ad
d
r
ess
th
e
ab
o
v
e
th
r
ee
c
h
allen
g
es.
Als
o
to
f
ill
th
e
g
ap
in
k
n
o
wl
ed
g
e
ab
o
u
t
th
e
c
o
n
v
e
r
s
io
n
o
f
tex
t
f
o
r
I
n
d
o
n
esian
f
u
n
ctio
n
al
r
eq
u
ir
em
e
n
ts
to
B
PMN
d
iag
r
am
s
.
T
h
e
p
ap
e
r
s
tr
u
ctu
r
e
b
e
g
in
s
with
an
in
t
r
o
d
u
ctio
n
th
at
ex
p
lain
s
th
e
b
ac
k
g
r
o
u
n
d
o
f
r
esear
ch
,
p
r
o
b
lem
s
,
o
b
jectiv
es,
an
d
co
n
tr
ib
u
tio
n
s
.
R
elate
d
wo
r
k
r
ev
iews
p
r
ev
io
u
s
r
esear
ch
r
elate
d
to
tex
t
co
n
v
er
s
io
n
to
B
PMN
d
iag
r
am
s
.
T
h
e
m
eth
o
d
is
d
iv
i
d
ed
i
n
to
s
ev
er
al
s
u
b
-
se
ctio
n
s
:
tex
tu
al
an
aly
s
is
u
s
in
g
NL
P,
F
ac
t
T
y
p
e
ex
tr
ac
tio
n
,
d
iag
r
am
g
en
e
r
atio
n
,
an
d
ev
alu
atio
n
.
R
esu
lts
an
d
d
is
cu
s
s
io
n
d
is
cu
s
s
th
e
ex
p
er
im
en
tal
r
esu
lts
an
d
p
er
f
o
r
m
a
n
ce
an
aly
s
is
.
T
h
e
co
n
clu
s
io
n
s
u
m
m
ar
izes th
e
m
ain
f
in
d
in
g
s
an
d
p
o
ten
tial f
u
r
th
er
r
esear
c
h
.
2.
B
P
M
N
D
I
AG
RA
M
F
RO
M
NATUR
AL
L
ANG
UAG
E
T
h
e
g
e
n
e
r
a
t
i
o
n
o
f
B
PM
N
b
as
ed
o
n
n
a
t
u
r
a
l
l
a
n
g
u
a
g
e
i
n
p
u
t
h
a
s
a
t
t
r
a
c
t
e
d
t
h
e
a
t
te
n
t
i
o
n
o
f
m
a
n
y
p
e
o
p
l
e
t
o
r
e
s
e
a
r
c
h
i
t
.
S
h
o
l
i
q
e
t
a
l
.
[
1
8
]
p
r
o
p
o
s
e
d
a
n
a
p
p
r
o
a
c
h
t
o
g
e
n
e
r
a
t
e
B
P
M
N
f
r
o
m
t
h
e
E
n
g
l
is
h
n
a
t
u
r
a
l
l
a
n
g
u
a
g
e
u
s
i
n
g
s
e
m
a
n
t
ic
s
o
f
b
u
s
i
n
es
s
v
o
c
a
b
u
l
a
r
y
a
n
d
b
u
s
i
n
es
s
r
u
l
e
s
(
SB
VR
)
d
e
f
i
n
it
i
o
n
s
,
r
u
le
s
e
ts
,
a
n
d
s
p
r
e
a
d
s
h
e
et
-
b
a
s
e
d
d
e
s
c
r
i
p
t
i
o
n
s
.
T
h
e
m
e
t
h
o
d
w
a
s
t
e
s
t
e
d
w
i
t
h
t
e
n
c
a
s
e
s
t
u
d
i
e
s
w
i
t
h
a
n
a
c
c
u
r
a
c
y
o
f
9
2
.
8
3
%
.
M
ö
ß
l
a
n
g
e
t
a
l
.
[
2
1
]
p
r
e
s
e
n
t
e
d
a
m
e
t
h
o
d
f
o
r
g
e
n
e
r
a
t
i
n
g
B
P
M
N
f
r
o
m
a
u
d
i
o
r
e
c
o
r
d
i
n
g
s
c
o
n
v
e
r
t
e
d
i
n
t
o
t
e
x
t
.
T
h
e
y
a
n
a
l
y
s
e
d
p
r
o
c
e
s
s
d
e
s
c
r
i
p
t
i
o
n
s
i
n
d
e
p
t
h
t
o
g
e
n
e
r
a
t
e
p
r
o
c
e
s
s
m
o
d
e
l
s
i
n
e
x
t
e
n
s
i
b
l
e
m
a
r
k
u
p
l
a
n
g
u
a
g
e
(
X
M
L
)
f
o
r
m
a
t
,
a
c
h
i
e
v
i
n
g
a
n
a
c
c
u
r
a
c
y
r
a
t
e
o
f
1
0
0
%
a
n
d
i
n
c
r
e
a
s
i
n
g
g
e
n
e
r
a
t
i
o
n
s
p
e
e
d
b
y
4
8
%
.
I
n
d
a
h
y
a
n
t
i
a
n
d
S
i
a
h
a
a
n
[
2
2
]
c
o
n
d
u
c
t
e
d
a
s
u
r
v
e
y
o
n
t
e
c
h
n
i
q
u
e
s
f
o
r
a
u
t
o
m
a
t
i
c
a
l
l
y
g
e
n
e
r
a
t
i
n
g
b
u
s
in
e
s
s
p
r
o
c
es
s
m
o
d
e
ls
f
r
o
m
h
e
t
e
r
o
g
e
n
e
o
u
s
d
o
c
u
m
e
n
t
s
u
s
i
n
g
N
L
P
a
p
p
r
o
a
c
h
e
s
,
s
e
m
a
n
t
ic
k
n
o
w
l
e
d
g
e
e
n
g
i
n
e
e
r
in
g
,
a
n
d
o
n
t
o
l
o
g
y
b
a
s
e
s
.
S
c
h
ü
l
er
a
n
d
A
l
p
e
r
s
[
2
3
]
i
d
e
n
t
i
f
i
e
d
v
a
r
i
o
u
s
t
e
c
h
n
i
q
u
es
f
o
r
g
e
n
e
r
a
t
i
n
g
b
u
s
i
n
ess
p
r
o
c
e
s
s
m
o
d
e
l
s
,
i
n
cl
u
d
i
n
g
t
h
o
s
e
b
as
e
d
o
n
s
o
u
r
c
e
c
o
d
e
,
b
u
s
i
n
es
s
r
u
l
e
s
(
s
u
c
h
as
SB
V
R
)
,
d
a
t
a
t
a
b
l
e
s
,
m
o
d
el
s
(
s
u
c
h
a
s
U
s
e
ca
s
e
s
)
,
k
n
o
w
l
e
d
g
e
b
a
s
e
s
(
s
u
c
h
a
s
o
n
t
o
l
o
g
i
e
s
)
[
2
4
]
,
e
v
e
n
t
l
o
g
s
,
a
n
d
n
a
t
u
r
a
l
t
e
x
t
.
Var
io
u
s
ap
p
r
o
ac
h
es h
a
v
e
b
ee
n
p
r
o
p
o
s
ed
,
i
n
clu
d
in
g
a
m
ac
h
in
e
tr
an
s
latio
n
-
lik
e
a
p
p
r
o
ac
h
t
h
a
t a
ch
iev
es
m
o
r
e
th
an
8
1
%
s
im
ilar
ity
with
m
an
u
al
m
o
d
els
[
2
5
]
an
d
s
p
r
ea
d
s
h
ee
t
-
b
ased
m
eth
o
d
s
with
s
em
an
tic
an
aly
s
i
s
[
1
7
]
.
T
h
e
u
s
e
o
f
NL
P is
also
p
r
o
m
in
en
t,
as in
th
e
s
y
s
tem
atic
liter
atu
r
e
r
ev
iew
b
y
B
o
r
d
ig
n
o
n
et
a
l.
[
2
6
]
an
d
t
h
e
id
en
tific
atio
n
o
f
NL
P
to
o
ls
b
y
Ma
q
b
o
o
l
et
a
l
.
[
2
7
]
,
wh
ich
s
i
m
p
lifie
d
th
e
cr
ea
tio
n
o
f
B
PMN
m
o
d
els
f
r
o
m
tex
t.
T
o
o
ls
s
u
ch
as
B
PM
N
Sk
etch
Min
er
[
2
8
]
c
o
m
b
in
e
d
n
atu
r
al
l
an
g
u
ag
e
lo
g
g
in
g
with
p
r
o
ce
s
s
m
in
in
g
to
p
r
o
d
u
ce
r
ea
l
-
tim
e
B
PMN
d
iag
r
am
s
,
e
m
p
h
asizin
g
u
s
ab
ilit
y
an
d
im
m
ed
iate
f
ee
d
b
ac
k
.
Me
th
o
d
o
lo
g
i
ca
l
ev
alu
atio
n
s
s
h
o
w
h
ig
h
-
ac
cu
r
ac
y
r
esu
lts
; f
o
r
ex
a
m
p
le,
Fatim
ah
et
a
l.
[
2
9
]
r
ep
o
r
ted
ac
h
iev
in
g
an
a
v
er
ag
e
F
-
m
ea
s
u
r
e
o
f
9
6
.
6
8
%.
T
h
e
s
tu
d
ies
ab
o
v
e
u
s
ed
E
n
g
l
is
h
tex
t
in
p
u
t,
wh
ile
th
is
s
tu
d
y
u
s
es
I
n
d
o
n
esian
tex
t
f
o
r
f
u
n
ctio
n
al
r
eq
u
ir
em
e
n
ts
.
As
ex
p
lain
ed
in
th
e
p
r
ev
io
u
s
s
ec
tio
n
,
cr
ea
tin
g
B
PMN
d
iag
r
am
s
f
r
o
m
I
n
d
o
n
esian
tex
ts
h
as
it
s
ch
allen
g
es
d
u
e
to
d
if
f
er
en
ce
s
i
n
g
r
am
m
atica
l
r
u
les,
th
e
n
ee
d
f
o
r
m
o
r
e
u
n
d
er
s
tan
d
in
g
to
f
in
d
k
ey
wo
r
d
s
,
an
d
th
e
lack
o
f
to
o
l
s
u
p
p
o
r
t.
I
n
ad
d
itio
n
,
th
is
s
tu
d
y
also
p
r
o
p
o
s
es
th
e
u
s
e
o
f
a
d
if
f
er
en
t
ap
p
r
o
ac
h
f
r
o
m
p
r
ev
io
u
s
s
tu
d
ies.
T
h
is
s
tu
d
y
p
r
o
p
o
s
es
u
s
in
g
an
i
n
ter
m
ed
iate
r
ep
r
esen
tatio
n
,
w
h
ich
is
a
co
m
b
in
atio
n
o
f
d
i
a
g
r
am
g
en
e
r
atio
n
r
u
les
an
d
s
u
b
s
titu
tio
n
o
f
in
p
u
t te
x
t
with
id
en
tifie
d
Fact
T
y
p
e
s
.
3.
M
E
T
H
O
D
T
h
er
e
ar
e
f
iv
e
m
ain
ac
tiv
ities
ca
r
r
ied
o
u
t
in
th
is
s
tu
d
y
as
p
r
e
s
en
ted
in
Fig
u
r
e
1
.
E
ac
h
ac
tiv
i
ty
an
d
s
u
b
-
ac
tiv
ity
ar
e
e
x
p
lain
ed
s
eq
u
e
n
tially
.
T
h
e
f
in
al
g
o
al
is
to
o
b
tain
a
B
PMN
d
iag
r
am
f
o
r
wh
ic
h
th
e
lev
el
o
f
ac
c
u
r
ac
y
o
f
th
e
r
esu
ltin
g
d
iag
r
a
m
is
m
ea
s
u
r
ed
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
7
0
8
I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
15
,
No
.
3
,
J
u
n
e
20
25
:
2
9
3
8
-
2
9
5
0
2940
3
.
1
.
Set
up
T
h
e
s
etu
p
co
n
tai
n
s
d
ata
co
lle
ctio
n
ac
tiv
ities
th
at
a
r
e
s
et
i
n
th
e
f
o
r
m
o
f
f
u
n
ctio
n
al
r
e
q
u
ir
em
en
ts
in
I
n
d
o
n
esian
tex
t.
Data
is
co
lle
cted
f
r
o
m
s
o
f
twar
e
r
e
q
u
ir
em
en
t
s
p
ec
if
icatio
n
(
SR
S)
d
o
cu
m
en
ts
o
f
th
e
m
in
i
-
h
o
s
p
ital,
em
p
lo
y
ee
c
o
o
p
er
ativ
e,
s
to
r
e
ap
p
licatio
n
.
T
h
e
f
u
n
cti
o
n
al
r
eq
u
ir
e
m
en
ts
in
tex
t
f
o
r
m
co
llected
f
r
o
m
u
s
e
r
s
to
r
ies in
th
e
SR
S d
o
cu
m
en
t o
f
ea
ch
ap
p
licatio
n
.
Sta
r
t
1
.
S
e
t
up
:
D
a
t
a
s
e
t
c
ol
l
e
c
t
i
on
2
.
Cons
t
ruc
t
i
ng fa
c
t
t
ype
e
xt
ra
c
t
i
on rul
e
s
us
i
ng t
e
xt
ua
l
a
na
l
ys
i
s
w
i
t
h N
L
P
D
a
t
a
s
e
t
:
T
e
xt
ua
l
re
qui
re
m
e
nt
s
Fa
c
t
ty
p
e
4
.
F
or
m
ul
a
t
i
ng
t
he
r
ul
e
s
f
or
m
a
pp
i
ng
a
nd
g
e
ne
ra
t
i
ng
B
P
M
N
e
l
e
m
e
nt
s
6
.
O
ut
put
va
l
i
da
t
i
on
:
a
c
c
ura
c
y t
e
s
t
i
ng
BP
M
N
d
i
a
g
r
a
m
E
n
d
A
c
c
u
r
a
c
y
r
a
te
Cons
t
ruc
t
i
ng m
a
ppi
ng rul
e
s
from
t
e
xt
t
o BP
M
N
e
l
e
m
e
nt
s
Co
ns
t
ruc
t
i
ng
BP
M
N
di
a
gra
m
ge
ne
ra
t
i
on
rul
e
s
S
pl
i
t
t
i
ng
T
oke
ni
z
a
t
i
on
S
ynt
a
x a
na
l
ys
i
s
S
e
m
a
nt
i
c
Rol
e
L
a
be
l
i
ng
S
t
ru
c
t
ur
e
a
nd
c
on
j
uc
t
i
on
a
na
l
ys
i
s
F
a
c
t
t
ype
e
xt
ra
c
t
i
on rul
e
form
ul
a
t
i
on
FT
E
x
tr
a
c
ti
o
n
Ru
l
e
3
.
Ide
nt
i
fyi
ng F
T
M
a
p
p
i
n
g
&
G
en
er
a
t
i
n
g
Ru
l
e
5
.
M
a
ppi
ng
&
ge
ne
ra
t
i
ng BP
M
N
di
a
gra
m
Fig
u
r
e
1
.
Me
th
o
d
s
o
f
t
h
is
r
esear
ch
3
.
2
.
Co
ns
t
ruct
ing
t
he
F
a
c
t
T
y
pe
ex
t
ra
ct
i
o
n r
ules
us
i
ng
t
ex
t
ua
l a
na
ly
s
is
wit
h NLP
I
n
p
u
t
d
ata
in
th
e
f
o
r
m
o
f
I
n
d
o
n
esian
tex
t
is
p
r
o
ce
s
s
ed
u
s
in
g
th
e
r
u
les
o
f
Fact
T
y
p
e
ex
tr
ac
tio
n
.
T
h
is
r
u
le
is
co
m
p
o
s
ed
o
f
tex
tu
al
a
n
aly
s
is
u
s
in
g
NL
P
an
d
an
aly
s
is
o
f
s
en
ten
ce
s
tr
u
ctu
r
e
an
d
c
o
n
ju
n
ctio
n
s
.
W
e
ar
e
u
s
in
g
Stan
za
v
er
s
io
n
1
.
6
.
0
w
h
ich
alr
ea
d
y
s
u
p
p
o
r
ts
th
e
u
s
e
o
f
I
n
d
o
n
esian
[
3
0
]
.
T
h
e
f
o
llo
win
g
is
an
ex
p
lan
atio
n
o
f
ea
ch
o
f
th
e
p
r
o
ce
s
s
es n
ee
d
e
d
in
th
is
p
h
ase.
3
.
2
.
1
.
Sp
litt
ing
a
nd
t
o
k
eniza
t
io
n
Sp
litt
in
g
is
th
e
p
r
o
ce
s
s
o
f
s
ep
ar
atin
g
an
in
p
u
t
tex
t
in
to
co
m
p
ilatio
n
s
en
ten
ce
s
.
T
h
en
,
to
k
e
n
izatio
n
is
b
r
ea
k
in
g
d
o
wn
a
s
en
ten
ce
in
to
its
co
m
p
iler
wo
r
d
s
[
3
1
]
.
Fo
r
e
x
am
p
le,
a
s
en
ten
ce
i
n
I
n
d
o
n
es
ian
b
elo
w.
‘
B
a
g
ia
n
I
GD
in
g
in
mem
b
u
a
t r
u
ju
ka
n
u
n
tu
k
p
a
s
ien
.
'
T
h
e
s
en
ten
ce
is
b
r
o
k
en
d
o
wn
i
n
to
'
[
B
ag
ian
]
[
I
GD]
[
in
g
i
n
]
[
m
em
b
u
at]
[
r
u
ju
k
a
n
]
[
u
n
tu
k
]
[
p
a
s
ien
]
[
.
]
'
.
3
.
2
.
2
.
Sy
nta
x
a
na
ly
s
is
T
h
e
an
aly
s
is
o
f
s
y
n
tax
in
v
o
l
v
e
s
two
s
tep
s
:
p
ar
ts
o
f
s
p
ee
ch
(
POS)
tag
g
in
g
an
d
g
en
er
atin
g
a
d
ep
en
d
en
c
y
tr
ee
.
POS
tag
g
in
g
en
tails
d
etec
tin
g
ev
er
y
to
k
en
as
a
v
er
b
,
n
o
u
n
,
ad
jectiv
e,
p
r
e
p
o
s
itio
n
,
an
d
s
o
o
n
.
Fo
r
in
s
tan
ce
,
in
th
e
s
en
ten
ce
p
r
o
v
id
e
d
,
th
e
t
o
k
en
is
:
{'B
a
g
ia
n
/N
S
D
I
GD/X
--
in
g
in
/
V
S
A
mem
b
u
a
t/VS
A
r
u
ju
ka
n
/N
S
D
u
n
tu
k/R
--
p
a
s
ien
/N
S
D
.
/Z
--
}.
Dep
en
d
en
c
y
tr
ee
s
ca
n
h
elp
d
e
tect
th
e
co
n
n
ec
tio
n
s
b
etwe
en
d
iv
er
s
e
s
y
n
tactic
s
tr
u
ctu
r
es
in
tex
tu
al
r
eq
u
ir
e
m
en
t
in
p
u
ts
.
Fo
r
ex
am
p
le,
th
e
d
ep
e
n
d
en
cy
b
r
ea
k
d
o
wn
f
o
r
t
h
e
ex
a
m
p
le
s
en
ten
ce
ab
o
v
e
is
d
is
p
lay
ed
in
Fig
u
r
e
2
.
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
-
8
7
0
8
Gen
era
tio
n
o
f b
u
s
in
ess
p
r
o
ce
s
s
mo
d
elin
g
n
o
ta
tio
n
d
ia
g
r
a
m
s
fr
o
m
textu
a
l fu
n
ctio
n
a
l …
(
S
h
o
liq
S
h
o
liq
)
2941
Fig
u
r
e
1
.
Dep
e
n
d
en
c
y
tr
ee
o
f
t
h
e
f
ir
s
t c
lau
s
e
o
f
th
e
f
ir
s
t sen
ten
ce
3
.
2
.
3
.
Ana
ly
s
is
o
f
s
em
a
ntic
Sem
an
tic
an
aly
s
is
is
ca
r
r
ied
o
u
t
b
y
ass
ig
n
in
g
s
em
a
n
tic
r
o
le
l
ab
els
o
r
s
em
an
tic
r
o
le
lab
elin
g
(
SR
L
)
.
I
t
ass
ig
n
s
a
s
tick
er
to
e
v
er
y
m
ar
k
/to
k
en
in
a
s
en
ten
ce
a
u
to
m
at
ically
.
W
e
f
o
llo
w
[
3
2
]
an
d
[
3
3
]
,
wh
e
r
e
r
o
les
ar
e
d
er
iv
ed
f
r
o
m
SB
VR
elem
en
ts
,
s
u
ch
as
n
o
u
n
co
n
ce
p
ts
/g
en
er
al
co
n
ce
p
ts
,
co
n
ce
p
ts
o
f
in
d
iv
id
u
al
n
o
u
n
s
,
co
n
ce
p
ts
o
f
v
er
b
s
,
attr
ib
u
tes,
q
u
a
n
tific
atio
n
,
an
d
o
th
er
s
[
3
4
]
.
3
.
2
.
4
.
I
dentif
ica
t
io
n o
f
s
ent
e
nce
s
t
ruct
ure
a
nd
co
njunct
io
ns
A
s
e
n
t
e
n
c
e
i
s
a
c
o
ll
e
c
ti
o
n
o
f
w
o
r
d
s
t
h
a
t
a
t
l
ea
s
t
c
o
n
s
is
t
o
f
a
s
u
b
j
e
c
t
a
n
d
a
p
r
e
d
i
c
a
t
e
a
n
d
h
a
v
e
a
c
o
m
p
l
e
t
e
m
e
a
n
i
n
g
.
I
n
a
s
e
n
t
e
n
c
e
,
at
l
e
ast
t
h
e
r
e
m
u
s
t
b
e
a
n
el
e
m
e
n
t
o
f
S
u
b
j
e
c
t
(
S
)
a
n
d
a
n
e
l
e
m
e
n
t
o
f
P
r
e
d
i
c
a
te
(
P
)
.
S
i
s
a
t
o
p
i
c
t
h
a
t
is
b
e
i
n
g
d
i
s
c
u
s
s
e
d
,
it
c
a
n
b
e
i
n
t
h
e
f
o
r
m
o
f
a
p
e
r
s
o
n
,
t
h
i
n
g
,
p
l
a
c
e
,
o
r
s
i
t
u
a
t
i
o
n
.
P
i
s
t
h
e
t
h
i
n
g
t
h
a
t
e
x
p
l
a
i
n
s
t
h
e
s
u
b
j
e
c
t
.
A
cc
o
r
d
i
n
g
t
o
t
h
e
n
u
m
b
e
r
o
f
c
l
a
u
s
e
s
t
h
a
t
f
o
r
m
i
t
,
s
e
n
t
e
n
c
es
c
a
n
b
e
f
o
r
m
e
d
i
n
t
o
t
h
r
e
e
t
y
p
e
s
:
i
)
S
i
n
g
l
e
s
e
n
t
e
n
c
es
,
ii
)
P
a
r
a
ll
e
l
c
o
m
p
o
u
n
d
s
e
n
t
e
n
c
es
,
a
n
d
iii
)
mu
lti
-
la
y
er
e
d
o
r
c
o
m
p
l
e
x
c
o
m
p
o
u
n
d
s
e
n
t
e
n
c
e
s
[
3
5
]
.
a.
Sin
g
le
s
en
ten
ce
A
s
in
g
le
s
en
ten
ce
is
a
s
en
ten
ce
th
at
h
as
o
n
e
in
d
ep
en
d
en
t
cla
u
s
e.
T
h
at
m
ea
n
s
th
er
e
is
o
n
ly
o
n
e
P
in
a
s
in
g
le
s
en
ten
ce
.
T
h
e
P
elem
en
t is a
m
ar
k
er
o
f
th
e
clau
s
e.
T
h
e
S a
n
d
P e
lem
e
n
ts
ar
e
alwa
y
s
m
an
d
ato
r
y
in
ev
e
r
y
s
en
ten
ce
.
T
h
e
elem
en
ts
o
f
Ob
ject
(
O)
,
C
o
m
p
lem
e
n
t
(
C
)
,
an
d
Descr
ip
tio
n
(
D)
ar
e
n
o
t
r
eq
u
ir
ed
to
b
e
p
r
esen
t
in
th
e
s
en
ten
ce
,
in
clu
d
in
g
in
a
s
in
g
le
s
en
ten
ce
.
I
f
P
s
till
n
ee
d
s
to
b
e
co
m
p
leted
,
th
en
t
h
e
co
m
p
lem
en
tar
y
elem
e
n
t
is
p
r
esen
ted
.
B
ased
o
n
th
e
ty
p
e
o
f
wo
r
d
/p
h
r
ase
th
at
f
ills
P,
a
s
in
g
le
s
en
ten
ce
ca
n
b
e
g
r
o
u
p
ed
in
to
s
ix
ty
p
es
th
at
ar
e
g
iv
en
ac
co
r
d
in
g
to
th
e
ty
p
e
o
f
wo
r
d
o
r
p
h
r
ase
[
3
6
]
:
i
)
A
v
er
b
s
en
ten
ce
is
a
s
en
ten
ce
wh
o
s
e
p
r
ed
icate
is
a
v
er
b
o
r
v
er
b
al
p
h
r
ase,
ii
)
An
a
d
jectiv
e
s
en
ten
ce
,
is
a
s
en
ten
ce
wh
o
s
e
p
r
ed
icate
is
an
ad
jectiv
e
o
r
an
ad
jectiv
e
p
h
r
ase,
iii
)
A
n
o
m
in
al
s
en
ten
ce
,
is
s
en
ten
ce
with
p
r
e
d
icate
s
in
th
e
f
o
r
m
o
f
n
o
m
in
als
o
r
n
o
m
i
n
al
p
h
r
ases
,
iv
)
A
p
r
ep
o
s
itio
n
al
s
en
ten
ce
,
is
a
s
en
ten
ce
with
its
p
r
e
d
icate
f
o
r
m
i
n
th
e
f
o
r
m
o
f
a
p
r
ep
o
s
itio
n
al
p
h
r
ase,
v
)
A
n
u
m
er
al
s
en
ten
ce
,
is
a
s
en
ten
ce
with
a
p
r
e
d
icate
in
th
e
f
o
r
m
o
f
n
u
m
er
ic,
an
d
vi
)
An
ad
v
er
b
ial
s
en
ten
ce
is
a
s
en
te
n
ce
wh
o
s
e
s
en
t
en
ce
f
o
r
m
is
in
th
e
f
o
r
m
o
f
an
a
d
v
er
b
ial.
Ver
b
s
en
ten
ce
s
ar
e
d
i
v
id
ed
i
n
to
2
g
r
o
u
p
s
,
n
am
el
y
tr
an
s
itiv
e
v
er
b
s
en
ten
ce
s
an
d
in
tr
an
s
itiv
e
v
er
b
s
en
ten
ce
s
.
T
r
an
s
itiv
e
v
er
b
s
en
ten
ce
s
r
eq
u
ir
e
a
n
o
b
ject
o
r
t
h
in
g
.
Me
an
wh
ile,
in
tr
an
s
itiv
e
s
en
te
n
ce
s
d
o
n
o
t
r
eq
u
ir
e
o
b
jects.
T
h
e
au
th
o
r
in
th
is
r
ef
er
en
ce
s
ay
s
[
3
7
]
th
at
v
er
b
s
th
at
u
s
e
th
e
p
r
ef
ix
‘
m
e
(
N)
’
ten
d
to
b
e
tr
an
s
itiv
e,
wh
ile
v
er
b
s
s
tar
tin
g
with
'
b
er
-
'
ar
e
in
tr
an
s
itiv
e.
b.
Par
allel/co
o
r
d
in
ativ
e
co
m
p
o
u
n
d
s
en
ten
ce
s
A
co
m
p
o
u
n
d
s
en
ten
ce
is
a
s
en
ten
ce
th
at
is
a
co
m
b
in
atio
n
o
f
two
o
r
m
o
r
e
s
in
g
le
s
en
ten
ce
s
.
A
p
ar
allel/co
o
r
d
in
atin
g
co
m
p
o
u
n
d
s
en
ten
ce
is
a
co
m
b
i
n
atio
n
o
f
two
o
r
m
o
r
e
m
ain
i
d
ea
s
th
at
ar
e
in
eq
u
al
p
o
s
itio
n
.
T
h
e
s
en
ten
ce
s
tr
u
ctu
r
e
in
wh
ich
th
er
e
ar
e
at
least,
tw
o
b
asi
c
s
en
ten
ce
s
an
d
ea
ch
ca
n
s
tan
d
alo
n
e
as
a
s
in
g
le
s
en
ten
ce
.
T
h
e
co
n
ju
n
ctio
n
s
th
at
co
n
n
ec
t
clau
s
es
in
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a
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o
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n
d
s
en
ten
ce
s
ar
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q
u
it
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n
u
m
e
r
o
u
s
.
T
h
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co
n
ju
n
ctio
n
s
d
esig
n
ate
s
ev
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al
ty
p
es
o
f
r
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s
h
ip
s
an
d
h
av
e
s
ev
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al
f
u
n
ctio
n
s
.
T
ab
le
1
.
in
d
ic
ates
th
e
co
n
n
ec
tin
g
clau
s
e
in
a
p
a
r
allel
co
m
p
o
u
n
d
s
en
te
n
ce
.
T
ab
le
1
.
C
o
n
ju
n
ctio
n
s
in
p
a
r
al
lel
co
m
p
o
u
n
d
s
en
ten
ce
s
Ty
p
e
s
o
f
r
e
l
a
t
i
o
n
sh
i
p
s
F
u
n
c
t
i
o
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C
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j
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t
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o
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Jo
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g
Ex
p
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h
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r
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o
mb
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n
a
t
i
o
n
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f
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v
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n
t
s,
a
c
t
i
v
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t
i
e
s
,
o
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p
r
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d
a
n
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s
e
r
t
a
,
b
a
i
k
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mau
p
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C
o
n
t
r
a
d
i
c
t
i
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S
t
a
t
e
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t
h
a
t
t
h
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s
t
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t
e
m
e
n
t
i
n
t
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f
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c
l
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mel
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C
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Ex
p
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ich
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o
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n
s
is
ex
p
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d
e
d
to
f
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r
m
a
n
ew
s
en
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I
n
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m
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lti
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m
p
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d
s
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ten
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,
t
h
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a
p
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t
clau
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d
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c
h
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T
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clau
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ile
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T
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d
if
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e
p
ar
e
n
t
clau
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t
is
s
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b
y
a
Evaluation Warning : The document was created with Spire.PDF for Python.
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W
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FT
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FT
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3
.
3
.
1.
S
p
l
i
t
a
n
i
n
p
u
t
t
e
x
t
i
n
t
o
t
h
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se
n
t
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n
c
e
s
t
h
a
t
ma
k
e
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t
u
p
.
2.
S
p
l
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a
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p
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se
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d
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mb
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l
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se
n
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e
.
3.
F
o
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a
p
a
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se
n
t
e
n
c
e
,
c
h
a
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i
t
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a
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n
t
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n
c
e
.
4.
F
o
r
a
si
n
g
l
e
se
n
t
e
n
c
e
:
a.
A
su
b
j
e
c
t
c
o
n
s
i
st
i
n
g
o
f
s
o
m
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s
se
p
a
r
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d
b
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c
o
mm
a
s
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/
a
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d
c
o
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j
u
n
c
t
i
o
n
s
(
t
h
e
l
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s
t
o
f
c
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n
j
u
n
c
t
i
o
n
s i
s
i
n
Ta
b
l
e
a
n
d
T
a
b
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)
.
B
r
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a
k
u
p
t
h
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se
n
t
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n
c
e
i
n
t
o
s
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m
e
n
e
w
s
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t
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s,
w
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man
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s
u
b
j
e
c
t
h
a
s.
b.
F
o
r
p
r
e
d
i
c
a
t
e
s
w
i
t
h
mu
l
t
i
p
l
e
v
e
r
b
s
se
p
a
r
a
t
e
d
b
y
c
o
m
mas
o
r
c
o
n
j
u
n
c
t
i
o
n
s
l
i
k
e
i
n
p
o
i
n
t
a
)
,
D
i
v
i
d
e
t
h
e
s
e
n
t
e
n
c
e
i
n
t
o
n
e
w
sen
t
e
n
c
e
s wi
t
h
a
s
ma
n
y
v
e
r
b
s
i
n
t
h
e
p
r
e
d
i
c
a
t
e
.
5.
R
e
c
o
g
n
i
z
e
F
T
a
s
a
p
a
i
r
o
f
a
s
u
b
j
e
c
t
a
n
d
a
p
r
e
d
i
c
a
t
e
.
a.
A
si
n
g
l
e
s
e
n
t
e
n
c
e
o
f
t
r
a
n
s
i
t
i
v
e
v
e
r
b
s
i
s rec
o
g
n
i
z
e
d
a
s a
B
i
n
a
r
y
F
a
c
t
Ty
p
e
.
b.
I
n
a
d
d
i
t
i
o
n
t
o
p
o
i
n
t
a
)
i
d
e
n
t
i
f
i
e
d
a
s
a
U
n
a
r
y
F
a
c
t
Ty
p
e
.
Fig
u
r
e
3
.
R
u
les f
o
r
ex
tr
ac
tin
g
FT
f
r
o
m
I
n
d
o
n
esian
in
p
u
t te
x
t
3
.
3
.
F
a
ct
T
y
pe
identif
ica
t
io
n
T
h
is
ac
tiv
ity
is
to
g
et
Fact
T
y
p
e
s
(
FT)
wh
er
e
th
e
co
m
b
in
atio
n
o
f
th
e
co
n
ce
p
t
o
f
n
o
u
n
an
d
t
h
e
co
n
ce
p
t
o
f
v
e
r
b
is
an
FT
[
3
4
]
.
I
n
SB
VR
1
.
5
,
n
o
u
n
p
h
r
ases
with
1
o
r
m
o
r
e
r
o
les
o
f
v
er
b
c
o
n
ce
p
t
co
n
s
tr
u
ct
an
FT
[
3
4
]
.
An
FT
with
a
s
in
g
le
r
o
le
is
n
a
m
ed
u
n
ar
y
Fact
T
y
p
e
(
UFT)
,
as
an
ex
a
m
p
le,
‘
Sek
o
lah
itu
in
d
ah
’
.
A
Fact
T
y
p
e
with
two
r
o
les
is
r
ef
er
r
e
d
to
a
s
a
B
FT,
f
o
r
ex
am
p
le,
'
Seo
r
an
g
p
o
lis
i
m
en
g
at
u
r
lalu
lin
tas'
,
in
wh
ich
‘
Seo
r
a
n
g
p
o
lis
i’
an
d
‘
lalu
lin
tas’
ar
e
tw
o
r
o
les,
a
n
d
‘
m
en
g
atu
r
’
is
a
v
e
r
b
co
n
n
ec
ted
to
t
h
e
two
r
o
les.
I
n
th
e
ty
p
e
o
f
s
in
g
le
s
en
ten
ce
s
th
at
h
av
e
b
ee
n
d
is
c
u
s
s
ed
in
th
e
p
r
ev
io
u
s
s
ec
tio
n
,
we
ca
teg
o
r
ize
s
in
g
le
s
en
ten
ce
ty
p
es
with
FT
ty
p
es
g
iv
en
in
T
a
b
le
3
.
T
ab
le
3.
Ma
p
p
in
g
s
in
g
le
s
en
te
n
ce
ty
p
es to
FT
ty
p
es
Ty
p
e
s
o
f
s
e
n
t
e
n
c
e
s
Ty
p
e
s
o
f
F
T
Tr
a
n
s
i
t
i
v
e
v
e
r
b
s
B
i
n
a
r
y
I
n
t
r
a
n
si
t
i
v
e
v
e
r
b
s
U
n
a
r
y
A
d
j
e
c
t
i
v
e
U
n
a
r
y
N
o
mi
n
a
l
U
n
a
r
y
P
r
e
p
o
si
t
i
o
n
a
l
U
n
a
r
y
N
u
mera
l
U
n
a
r
y
A
d
v
e
r
b
i
a
l
U
n
a
r
y
3
.
4
.
F
o
rm
ula
t
ing
t
he
rules f
o
r
m
a
pp
ing
a
nd
g
ener
a
t
ing
B
P
M
N
elem
ent
s
T
h
is
s
ec
tio
n
co
n
tain
s
r
u
les
f
o
r
m
ap
p
in
g
tex
t
u
al
r
eq
u
ir
em
en
ts
to
B
PMN
elem
en
ts
an
d
g
en
er
atin
g
B
PMN
d
iag
r
am
s
as
s
h
o
wn
in
Fig
u
r
e
4
.
B
PMN
elem
en
ts
m
ap
p
ed
u
s
in
g
th
is
r
u
le
in
cl
u
d
e
p
o
o
l,
lan
e,
ac
tiv
ity
,
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J E
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f b
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p
r
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s
s
mo
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g
n
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ta
tio
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r
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s
fr
o
m
textu
a
l fu
n
ctio
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l …
(
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2943
ev
en
t,
g
atew
ay
(
AND,
OR
,
an
d
XOR),
an
d
d
ata
s
to
r
e/o
b
ject.
T
h
en
,
th
e
elem
en
ts
th
at
h
av
e
b
ee
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o
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tain
ed
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ad
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t
o
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am
wh
ich
will b
e
d
is
cu
s
s
ed
in
th
e
n
ex
t s
ec
tio
n
.
1.
M
a
p
t
h
e
h
e
a
d
i
n
g
s
o
f
t
h
e
i
n
p
u
t
f
u
n
c
t
i
o
n
a
l
r
e
q
u
i
r
e
m
e
n
t
s
a
s a
P
o
o
l
.
2.
M
a
p
t
h
e
n
o
u
n
c
o
n
c
e
p
t
o
f
F
T
(
B
F
T
a
n
d
U
F
T)
i
n
t
o
a
La
n
e
.
3.
C
r
e
a
t
e
a
S
t
a
r
t
Ev
e
n
t
i
n
t
h
e
f
i
r
st
l
a
n
e
a
n
d
a
n
e
n
d
e
v
e
n
t
i
n
t
h
e
l
a
s
t
l
a
n
e
.
4.
M
a
p
a
B
F
T
t
o
a
n
A
c
t
i
v
i
t
y
.
5.
M
a
p
a
n
U
F
T
t
o
a
n
E
v
e
n
t
s
e
x
c
e
p
t
U
F
T
i
n
a
c
o
n
d
i
t
i
o
n
c
o
n
j
u
c
t
i
o
n
(
i
n
I
n
d
o
n
e
si
a
n
‘
j
i
k
a
,
s
e
a
n
d
a
i
n
y
a
,
a
n
d
a
i
k
a
t
a
,
a
n
d
a
i
k
a
n
,
a
sa
l
k
a
n
,
k
a
l
a
u
,
a
p
a
b
i
l
a
,
b
i
l
a
ma
n
a
,
ma
n
a
k
a
l
a
’
)
.
6.
M
a
p
t
h
e
f
o
l
l
o
w
i
n
g
:
a.
Jo
i
n
i
n
g
c
o
n
j
u
c
t
i
o
n
(
i
n
I
n
d
o
n
e
s
i
a
n
'
d
a
n
',
‘
sert
a
’
,
‘
b
a
i
k
’
)
b
e
c
o
m
e
s a
p
a
i
r
o
f
A
N
D
b
r
a
n
c
h
e
s.
b.
C
h
o
o
si
n
g
c
o
n
j
u
c
t
i
o
n
(
i
n
I
n
d
o
n
e
si
a
n
'a
t
a
u
')
b
e
c
o
mes
a
p
a
i
r
o
f
O
R
b
r
a
n
c
h
e
s.
c.
A
c
o
m
b
i
n
a
t
i
o
n
o
f
t
w
o
c
o
n
j
u
n
c
t
i
o
n
s:
c
o
n
d
i
t
i
o
n
-
c
o
n
s
e
q
u
e
n
c
e
s,
c
o
n
d
i
t
i
o
n
c
o
n
j
u
n
c
t
i
o
n
(
i
n
I
n
d
o
n
e
si
a
n
'j
i
k
a
',
‘
sea
n
d
a
i
n
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a
’
,
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a
n
d
a
i
k
a
t
a
’
a
n
d
s
o
o
n
,
s
e
e
Ta
b
l
e
2
)
,
a
n
d
c
o
n
s
e
q
u
e
n
c
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s
c
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n
j
u
n
c
t
i
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n
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d
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i
a
n
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h
i
n
g
g
a
',
‘
sam
p
a
i
-
sam
p
a
i
’
,
o
r
‘
mak
a
’
,
see
T
a
b
l
e
2
)
,
b
e
c
o
m
e
s a
p
a
i
r
o
f
X
O
R
b
r
a
n
c
h
e
s.
d.
A
c
o
m
b
i
n
a
t
i
o
n
o
f
t
h
r
e
e
c
o
n
j
u
n
c
t
i
o
n
s
:
c
o
n
d
i
t
i
o
n
-
c
o
n
se
q
u
e
n
c
e
-
c
o
n
t
r
a
d
i
c
t
i
n
g
,
c
o
n
t
r
a
d
i
c
t
i
n
g
c
o
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j
u
n
c
t
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o
n
(
i
n
I
n
d
o
n
e
s
i
a
n
't
e
t
a
p
i
',
‘
l
a
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n
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a
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,
‘
k
a
l
a
u
t
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d
a
k
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,
se
e
T
a
b
l
e
1
)
,
b
e
c
o
m
e
s a
p
a
i
r
o
f
X
O
R
b
r
a
n
c
h
e
s.
7.
M
a
p
t
h
e
r
e
p
e
a
t
i
n
g
m
a
r
k
:
a.
Th
e
b
e
g
i
n
n
i
n
g
o
f
a
l
o
o
p
(
*
<
n
u
m
b
e
r
>
)
b
e
c
o
mes
t
h
e
i
n
i
t
i
a
l
X
O
R
b
r
a
n
c
h
.
b.
En
d
o
f
a
l
o
o
p
(
j
u
m
p
<
n
u
m
b
e
r
>
i
n
I
n
d
o
n
e
si
a
n
‘
l
o
mp
a
t
<
n
u
m
b
e
r
>
’
)
t
o
f
i
n
a
l
X
O
R
b
r
a
n
c
h
.
8.
A
d
d
a
s
e
q
u
e
n
c
e
f
l
o
w
l
i
n
e
:
a.
F
r
o
m a
n
a
c
t
i
v
i
t
y
,
e
v
e
n
t
,
o
r
b
r
a
n
c
h
t
o
t
h
e
n
e
x
t
a
c
t
i
v
i
t
y
,
e
v
e
n
t
,
o
r
b
r
a
n
c
h
.
b.
A
n
d
t
h
e
e
n
d
o
f
a
l
o
o
p
t
o
t
h
e
b
e
g
i
n
n
i
n
g
o
f
a
l
o
o
p
.
c.
Th
e
t
w
o
l
i
n
e
s fr
o
m
t
h
e
o
p
e
n
i
n
g
A
N
D
,
O
R
,
a
n
d
X
O
R
b
r
a
n
c
h
e
s
t
o
t
h
e
a
c
t
i
v
i
t
y
/
e
v
e
n
t
/
b
r
a
n
c
h
w
i
t
h
i
n
t
h
e
b
r
a
n
c
h
.
Th
e
n
f
r
o
m
t
h
e
a
c
t
i
v
i
t
y
/
e
v
e
n
t
/
b
r
a
n
c
h
t
o
t
h
e
c
l
o
s
i
n
g
b
r
a
n
c
h
o
f
t
h
e
o
p
e
n
i
n
g
b
r
a
n
c
h
p
a
i
r
.
9.
Th
e
n
o
u
n
(
o
r
n
o
u
n
p
h
r
a
se)
o
f
t
h
e
v
e
r
b
c
o
n
c
e
p
t
i
n
t
h
e
F
a
c
t
Ty
p
e
(
F
T)
,
c
o
n
t
a
i
n
i
n
g
t
h
e
k
e
y
w
o
r
d
v
e
r
b
(
l
i
s
t
e
d
b
e
l
o
w
)
,
i
s ma
p
p
e
d
t
o
t
h
e
d
a
t
a
s
t
o
r
e
/
o
b
j
e
c
t
i
n
f
l
o
w
o
r
o
u
t
f
l
o
w
.
a.
I
f
t
h
e
o
b
j
e
c
t
p
h
r
a
se
i
n
c
l
u
d
e
s
t
h
e
t
e
r
m
'
d
a
t
a
b
a
se'
,
t
h
e
n
i
t
i
s ma
p
p
e
d
t
o
t
h
e
d
a
t
a
st
o
r
e
.
I
f
i
t
d
o
e
s
n
'
t
e
x
i
st
,
i
t
's m
a
p
p
e
d
t
o
a
d
a
t
a
o
b
j
e
c
t
.
b.
C
r
e
a
t
e
a
n
a
ss
o
c
i
a
t
i
o
n
l
i
n
e
o
f
t
h
e
a
c
t
i
v
i
t
y
t
o
t
h
e
d
a
t
a
s
t
o
r
e
/
o
b
j
e
c
t
,
a
n
i
n
f
l
o
w
l
i
n
e
t
h
a
t
c
o
n
t
a
i
n
s
k
e
y
w
o
r
d
v
e
r
b
s fo
r
i
n
f
l
o
w
a
n
d
a
n
o
u
t
f
l
o
w
t
h
a
t
c
o
n
t
a
i
n
s k
e
y
w
o
r
d
v
e
r
b
s f
o
r
o
u
t
f
l
o
w
.
K
e
y
w
o
r
d
v
e
r
b
s f
o
r
i
n
f
l
o
w
:
me
n
u
l
i
s
,
men
a
mb
a
h
,
m
e
n
y
i
mp
a
n
,
m
e
n
c
a
t
a
t
,
m
e
n
d
a
f
t
a
r
k
a
n
,
m
e
mp
e
r
b
a
r
u
i
,
m
e
n
g
e
d
i
t
,
d
a
n
men
g
a
r
s
i
p
k
a
n
.
K
e
y
w
o
r
d
v
e
r
b
s f
o
r
o
u
t
f
l
o
w
:
m
e
m
b
a
c
a
,
mem
e
r
i
k
sa,
me
mv
e
r
i
f
i
k
a
s
i
,
me
n
d
a
p
a
t
k
a
n
,
me
mp
e
r
o
l
e
h
,
m
e
mi
n
d
a
i
,
m
e
n
g
a
mb
i
l
,
memf
i
l
t
e
r
,
d
a
n
me
n
g
a
m
b
i
l
.
Fig
u
r
e
4
.
R
u
les f
o
r
m
ap
p
i
n
g
a
n
d
g
en
er
atin
g
B
PMN
d
iag
r
am
s
3
.
5
.
M
a
pp
ing
a
nd
g
ener
a
t
ing
B
P
M
N
dia
g
ra
m
s
I
n
th
is
ac
tiv
ity
,
we
u
s
e
th
e
r
u
le
b
ase
in
Fig
u
r
e
4
t
o
m
ap
t
h
e
FT
to
th
e
B
PMN
elem
en
ts
an
d
th
e
n
g
en
er
ate
th
e
B
PMN
d
iag
r
am
u
s
in
g
th
e
s
am
e
r
u
leb
ase.
E
x
am
p
les
with
ca
s
e
s
tu
d
ies
ar
e
g
iv
en
in
s
u
b
s
ec
tio
n
4
.
1
.
T
h
e
ca
s
e
s
tu
d
ies ar
e
o
n
ly
in
t
h
e
ap
p
e
n
d
i
x
(
1
5
ca
s
e
s
tu
d
ies).
3
.
6
.
O
utput
v
a
lid
a
t
io
n
T
o
m
ea
s
u
r
e
th
e
v
alid
ity
o
f
th
e
o
u
tp
u
t,
we
m
ea
s
u
r
e
its
p
r
o
x
im
i
ty
to
th
e
r
esu
lts
o
b
tain
ed
f
r
o
m
th
e
m
an
u
al
cr
ea
tio
n
o
f
B
PMN
d
iag
r
am
s
b
y
ex
p
er
ts
.
W
e
ap
p
ly
th
e
m
ea
n
m
ag
n
itu
d
e
o
f
r
elativ
e
er
r
o
r
(
MM
R
E
)
as
in
(
1
)
in
th
e
esti
m
atio
n
o
f
th
e
er
r
o
r
r
ate
o
f
th
e
s
o
f
twar
e
as
th
e
au
t
h
o
r
d
id
in
th
is
[
3
8
]
.
MM
R
E
is
co
n
s
id
er
ed
b
y
th
e
e
n
tire
o
b
s
er
v
atio
n
u
s
in
g
(
2
)
.
=
∙
100%
(
1
)
=
1
∑
1
(
2
)
4.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
4
.
1
.
E
x
a
m
ple o
f
B
P
M
N
dia
g
ra
m
g
ener
a
t
io
n
Fo
r
ex
am
p
le,
in
th
is
s
ec
tio
n
,
we
u
s
e
f
u
n
ctio
n
al
r
eq
u
i
r
em
en
ts
in
th
e
d
ev
elo
p
m
en
t
o
f
m
in
i
-
h
o
s
p
ital
s
o
f
twar
e.
T
h
er
e
a
r
e
1
5
ca
s
e
s
tu
d
ies
th
at
we
u
s
e
as
test
d
ata
as
p
r
esen
ted
in
Ap
p
en
d
i
x
(
A
an
d
B
)
.
T
h
e
ca
s
e
s
tu
d
y
u
s
ed
as a
n
ex
am
p
le
is
ca
s
e
s
tu
d
y
1
4
,
n
am
el
y
,
r
e
g
is
ter
r
e
f
er
r
a
l p
atien
ts
g
iv
en
b
elo
w.
‘
B
a
g
ia
n
I
GD
in
g
in
mem
b
u
a
t
r
u
ju
ka
n
u
n
tu
k
p
a
s
ien
,
ke
mu
d
i
a
n
s
is
tem
men
a
mp
ilka
n
fo
r
mu
lir
r
eg
is
te
r
r
u
ju
ka
n
p
a
s
ien
.
*
1
B
a
g
ia
n
I
GD
mem
a
s
u
kk
a
n
I
D
r
ek
a
m
med
is
,
la
lu
s
is
tem
men
ca
r
i
d
a
ta
p
a
s
ien
d
i
d
a
t
a
b
a
s
e
P
en
d
a
fta
r
a
n
d
a
n
P
a
s
ien
.
Jika
p
a
s
ien
a
d
a
,
ma
ka
s
is
tem
men
a
mp
ilk
a
n
h
a
s
il
ku
eri
terma
s
u
k
n
a
ma
d
a
n
a
la
ma
t,
k
a
la
u
tid
a
k
lo
n
ca
t
ke
1
.
B
a
g
i
a
n
I
GD
men
c
a
ku
p
tu
j
u
a
n
r
u
ju
k
a
n
,
i
n
fo
r
ma
s
i
med
is
,
tin
d
a
ka
n
a
ta
u
p
en
g
o
b
a
ta
n
,
d
a
n
in
f
o
r
ma
s
i
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
7
0
8
I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
15
,
No
.
3
,
J
u
n
e
20
25
:
2
9
3
8
-
2
9
5
0
2944
la
in
n
ya
,
mem
ilih
to
mb
o
l.
Jika
to
mb
o
l
a
d
a
la
h
s
imp
a
n
,
ma
ka
s
is
tem
men
yimp
a
n
in
fo
r
ma
s
i
r
u
ju
ka
n
ke
d
a
ta
b
a
s
e
P
a
s
ien
d
a
n
R
u
ju
ka
n
.
Jika
t
o
mb
o
l a
d
a
la
h
b
a
ta
l,
ma
k
a
s
is
tem
men
g
a
tu
r
s
emu
a
in
fo
r
ma
s
i k
e
ko
s
o
n
g
.
’
I
n
E
n
g
lis
h
Th
e
E
merg
en
cy
Dep
a
r
tmen
t
w
a
n
ts
to
ma
ke
a
r
eferr
a
l
fo
r
a
p
a
tien
t,
th
en
th
e
s
ystem
d
is
p
la
ys
th
e
p
a
tien
t
r
eferr
a
l
r
eg
is
tr
a
tio
n
fo
r
m.
*
1
Th
e
E
me
r
g
en
cy
Dep
a
r
tmen
t
e
n
ters
th
e
med
ica
l
r
ec
o
r
d
I
D,
th
e
n
t
h
e
s
ystem
s
ea
r
ch
es
fo
r
p
a
tien
t
d
a
ta
in
th
e
R
eg
is
tr
a
tio
n
a
n
d
P
a
tien
t
d
a
ta
b
a
s
e.
I
f
th
e
p
a
tien
t
ex
is
ts
,
th
e
s
ystem
d
is
p
la
ys
th
e
q
u
ery
r
esu
lts
in
clu
d
in
g
n
a
me
a
n
d
a
d
d
r
ess
,
o
th
erw
is
e
ju
mp
to
1
.
Th
e
E
m
erg
en
cy
Dep
a
r
tmen
t
in
clu
d
es
th
e
p
u
r
p
o
s
e
o
f
th
e
r
eferr
a
l,
med
ica
l
in
fo
r
ma
tio
n
,
a
ctio
n
s
o
r
tr
ea
tmen
ts
,
a
n
d
o
th
er
in
fo
r
ma
tio
n
,
s
elec
tin
g
th
e
b
u
tto
n
.
I
f
th
e
b
u
tto
n
is
s
a
ve
,
th
e
s
ystem
s
a
ve
s
th
e
r
eferr
a
l
in
fo
r
ma
tio
n
to
th
e
P
a
ti
en
t
a
n
d
R
eferr
a
l
d
a
ta
b
a
s
e.
I
f
t
h
e
b
u
tto
n
is
c
a
n
ce
l,
th
e
s
ystem
s
et
s
a
ll in
fo
r
ma
tio
n
to
b
la
n
k
.
T
h
e
ca
s
e
s
tu
d
y
d
em
o
n
s
tr
ate
s
s
in
g
le
s
en
ten
ce
s
,
p
ar
allel
co
m
p
o
u
n
d
s
,
an
d
co
m
p
lex
c
o
m
p
o
u
n
d
s
.
Me
an
wh
ile,
ex
am
p
les
o
f
m
u
lt
ilev
el
co
m
p
o
u
n
d
s
en
te
n
ce
s
ar
e
g
iv
en
in
ca
s
e
s
tu
d
y
1
5
(
Ap
p
en
d
ix
A)
.
T
h
is
ca
s
e
s
tu
d
y
also
d
em
o
n
s
tr
ates
lo
o
p
s
,
if
-
th
en
-
else
co
n
d
itio
n
s
,
a
n
d
v
e
r
b
al
an
d
n
o
m
in
al
clau
s
es.
T
h
e
t
ex
tu
al
r
eq
u
ir
em
en
t
o
f
th
e
ca
s
e
s
tu
d
y
h
as
s
ix
s
en
ten
ce
s
co
n
s
is
tin
g
o
f
p
ar
allel
co
m
p
o
u
n
d
s
en
ten
ce
s
(
s
en
ten
ce
s
1
an
d
2
)
a
n
d
co
m
p
lex
co
m
p
o
u
n
d
s
en
ten
ce
s
(
s
en
ten
c
es
3
,
5
a
n
d
6
)
.
I
n
s
en
ten
ce
2
,
th
er
e
is
a
d
atab
ase
k
ey
wo
r
d
t
h
at
b
eg
in
s
with
t
h
e
v
er
b
'
m
en
ca
r
i'
wh
ich
in
d
icate
s
a
d
atab
ase
r
ea
d
in
g
(
R
eg
is
tr
asi an
d
Pas
ien
)
.
T
h
e
p
r
o
ce
s
s
o
f
g
en
er
atin
g
B
PMN
d
iag
r
am
s
co
n
s
is
ts
o
f
s
ev
er
al
s
tep
s
.
First,
th
e
tex
tu
al
r
eq
u
ir
em
en
t
is
ex
tr
ac
ted
to
o
b
tain
T
F
u
s
in
g
NL
P
an
d
s
en
ten
ce
a
n
aly
s
is
.
I
n
th
is
p
r
o
ce
s
s
,
th
er
e
is
s
p
litt
in
g
,
t
o
k
en
izatio
n
(
o
r
POS
tag
g
in
g
)
,
s
y
n
ta
x
an
aly
s
is
(
o
r
g
en
er
atio
n
o
f
th
e
d
e
p
en
d
e
n
cy
tr
ee
)
,
SR
L
,
an
d
s
tr
u
ctu
r
e
an
d
co
n
ju
n
ctio
n
an
al
y
s
is
.
T
h
e
s
p
litt
in
g
o
f
th
is
ex
am
p
le,
wh
ich
is
th
e
te
x
tu
al
r
eq
u
ir
e
m
en
ts
o
f
C
ase
Stu
d
y
1
4
,
is
b
r
o
k
en
d
o
wn
in
to
6
s
en
ten
ce
s
.
E
x
am
p
le
t
o
k
en
izati
o
n
f
o
r
th
e
f
ir
s
t
s
en
ten
ce
:
[
B
a
g
ia
n
]
[
I
GD]
[
in
g
in
]
[
m
emb
u
a
t]
[
r
u
ju
ka
n
]
[
u
n
tu
k]
[
p
a
s
ien
]
[
,
]
[
ke
mu
d
ia
n
]
[
s
is
te
m]
[
men
a
mp
ilka
n
]
[
fo
r
mu
lir
]
[
r
eg
is
te
r
]
[
r
u
ju
ka
n
]
[
p
a
s
ien
]
[
.
]
.
POS
tag
g
in
g
f
o
r
th
e
f
ir
s
t
s
en
ten
ce
:
{Ba
g
ia
n
/N
S
D
I
GD/X
--
i
n
g
in
/VS
A
mem
b
u
a
t/VS
A
r
u
ju
k
a
n
/N
S
D
u
n
tu
k/
R
--
p
a
s
ien
/N
S
D,
/Z
--
ke
mu
d
ia
n
/S
—
s
is
tem/N
S
D
me
n
a
mp
ilka
n
/VS
A
fo
r
mu
lir
/N
S
D
r
eg
is
ter/
F
--
r
u
ju
ka
n
/N
S
D
p
a
s
ien
/N
S
D
.
/Z
--
}
.
Me
an
wh
ile,
th
e
g
en
er
atio
n
o
f
th
e
d
ep
en
d
e
n
cy
tr
ee
f
o
r
th
e
f
ir
s
t
clau
s
e
o
f
Sen
ten
ce
1
in
C
as
e
Stu
d
y
1
4
is
g
iv
en
in
Fig
u
r
e
2
.
Nex
t,
th
e
SR
L
id
en
tifie
s
th
e
n
o
u
n
co
n
ce
p
t
an
d
th
e
v
er
b
co
n
c
ep
t
as
th
e
m
ain
elem
en
t
p
air
s
to
g
et
th
e
Fact
T
y
p
e
(
th
e
r
esu
lts
ca
n
b
e
s
ee
n
in
T
ab
le
4
)
.
T
ab
le
4
.
T
h
e
ex
tr
ac
tio
n
o
f
FT
o
n
ca
s
e
s
tu
d
y
1
4
S
B
V
R
c
o
n
c
e
p
t
Q
t
y
B
r
e
a
k
d
o
w
n
N
o
u
n
/
i
n
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a
n
I
G
D
me
n
c
a
k
u
p
t
u
j
u
a
n
r
u
j
u
k
a
n
,
i
n
f
o
r
masi
me
d
i
s,
t
i
n
d
a
k
a
n
a
t
a
u
p
e
n
g
o
b
a
t
a
n
,
d
a
n
i
n
f
o
r
mas
i
l
a
i
n
n
y
a
(
T
h
e
Emerg
e
n
c
y
D
e
p
a
r
t
me
n
t
i
n
c
l
u
d
e
s
t
h
e
p
u
r
p
o
se
o
f
t
h
e
r
e
f
e
r
r
a
l
,
me
d
i
c
a
l
i
n
f
o
r
mat
i
o
n
,
a
c
t
i
o
n
s
o
r
t
r
e
a
t
me
n
t
s
,
a
n
d
o
t
h
e
r
i
n
f
o
r
ma
t
i
o
n
)
.
−
B
a
g
i
a
n
I
G
D
memi
l
i
h
t
o
mb
o
l
si
mp
a
n
(
Th
e
Emerg
e
n
c
y
D
e
p
a
r
t
me
n
t
s
e
l
e
c
t
s t
h
e
b
u
t
t
o
n
)
.
#
5
a
Th
i
s
e
x
a
m
p
l
e
s
h
o
w
s ru
l
e
#
5
a
i
d
e
n
t
i
f
y
i
n
g
t
h
e
si
n
g
l
e
v
e
r
b
a
l
o
f
a
t
r
a
n
s
i
t
i
v
e
s
e
n
t
e
n
c
e
.
C
l
a
u
s
e
2
i
n
S
e
n
t
e
n
c
e
3
:
S
i
st
e
m
me
n
a
mp
i
l
k
a
n
h
a
s
i
l
k
u
e
r
i
t
e
r
mas
u
k
n
a
m
a
d
a
n
a
l
a
m
a
t
(
Th
e
s
y
st
e
m
d
i
s
p
l
a
y
s
t
h
e
q
u
e
r
y
r
e
s
u
l
t
s
i
n
c
l
u
d
i
n
g
n
a
m
e
a
n
d
a
d
d
r
e
ss)
.
S
i
st
e
m
me
n
a
mp
i
l
k
a
n
h
a
s
i
l
k
u
e
r
i
t
e
r
m
a
su
k
n
a
m
a
d
a
n
a
l
a
m
a
t
(
Th
e
s
y
st
e
m
d
i
s
p
l
a
y
s t
h
e
q
u
e
r
y
r
e
su
l
t
s
i
n
c
l
u
d
i
n
g
n
a
m
e
a
n
d
a
d
d
r
e
ss)
a
s B
F
T.
#
5
b
I
n
c
o
n
t
r
a
s
t
,
t
h
i
s
e
x
a
m
p
l
e
s
h
o
w
s
t
h
e
i
d
e
n
t
i
f
i
c
a
t
i
o
n
o
f
a
n
o
mi
n
a
l
sen
t
e
n
c
e
a
s
U
F
T
u
si
n
g
r
u
l
e
#
5
b
.
C
l
a
u
s
e
1
i
n
S
e
n
t
e
n
c
e
3
:
Ji
k
a
p
a
si
e
n
a
d
a
(
I
f
t
h
e
p
a
t
i
e
n
t
e
x
i
s
t
s)
.
P
a
si
e
n
a
d
a
(
T
h
e
p
a
t
i
e
n
t
e
x
i
s
t
s)
a
s
U
F
T.
T
h
e
s
ec
o
n
d
s
tep
in
v
o
lv
es m
ap
p
in
g
an
d
g
en
e
r
atin
g
B
PMN
d
iag
r
am
s
,
wh
ich
in
clu
d
es two
s
u
b
-
task
s
:
i)
s
u
b
s
titu
tio
n
o
f
FT
to
in
p
u
t
t
ex
t,
an
d
ii
)
im
p
lem
e
n
tatio
n
o
f
r
u
les
f
o
r
m
a
p
p
in
g
a
n
d
d
i
ag
r
am
g
en
er
atio
n
.
Su
b
s
titu
tio
n
o
f
FT
to
th
e
f
o
llo
win
g
in
p
u
t
tex
t:
'B
F
T1
,
ke
mu
d
ia
n
B
F
T2
.
*
1
B
F
T3
,
la
lu
B
F
T4
.
Jika
UF
T1
,
ma
ka
B
F
T5
,
ka
la
u
tid
a
k
lo
n
ca
t
ke
1
.
B
F
T6
,
B
F
T7
.
Jika
UF
T2
,
ma
ka
B
F
T8
.
Jika
UF
T3
,
ma
ka
B
F
T9
’
.
T
h
en
th
e
r
esu
lt
o
f
th
e
s
u
b
s
titu
tio
n
o
f
FT
to
th
e
in
p
u
t te
x
t is co
m
p
leted
with
t
h
e
co
n
ce
p
t n
o
u
n
as f
o
llo
ws:
'B
F
T1
/Ba
g
ia
n
I
GD,
ke
mu
d
ia
n
B
F
T2
/S
is
tem.
*
1
B
F
T3
/
B
a
g
ia
n
I
GD
,
la
l
u
B
F
T4
/S
is
tem.
Jika
UF
T1
/Pa
s
ien
,
ma
ka
B
F
T5
/S
is
tem,
ka
la
u
tid
a
k
lo
n
ca
t
ke
1
.
B
F
T6
/Ba
g
i
a
n
I
GD,
B
F
T7
B
a
g
ia
n
I
GD.
Jik
a
UF
T2
/To
mb
o
l,
ma
ka
B
F
T8
/S
is
tem.
Jika
UF
T3
/To
mb
o
l,
ma
ka
B
F
T9
/S
is
tem
’.
Ma
p
p
in
g
a
n
d
g
en
er
atio
n
o
f
B
PMN
d
iag
r
am
s
u
s
in
g
th
e
r
u
les
s
et
in
Fig
u
r
e
4
.
T
h
e
titl
e
o
f
th
e
in
p
u
t
tex
t,
n
am
ely
'
R
eg
is
ter
r
ef
er
r
al
p
atien
ts
'
b
ec
o
m
es
th
e
titl
e
in
th
e
P
o
o
l
(
R
u
le
#
1
)
,
an
d
B
FT1
to
B
FT9
ar
e
m
ap
p
e
d
t
o
ac
tiv
ities
A
to
I
(
R
u
le
#
4
)
,
s
o
t
h
at
‘
b
ag
ian
I
GD’
an
d
‘
Sis
tem
’
b
ec
o
m
e
L
a
n
e
(
R
u
le
#
2
)
.
UFT1
to
UFT3
is
n
o
t
an
ev
en
t
b
ec
a
u
s
e
it
is
in
a
c
o
n
d
itio
n
co
n
ju
n
ctio
n
(
R
u
le
#
5
)
,
w
h
ile
co
n
d
itio
n
-
co
n
s
eq
u
en
ce
-
co
n
tr
ad
ictin
g
co
n
ju
n
ctio
n
s
ar
e
XOR
b
r
a
n
ch
p
air
s
(
R
u
les
#
6
c
an
d
#
6
d
)
.
T
h
e
b
eg
in
n
in
g
o
f
th
e
r
ep
etitio
n
*
1
b
e
c
o
m
es
t
h
e
XOR
o
f
th
e
o
p
en
in
g
b
r
a
n
ch
a
n
d
th
e
en
d
o
f
th
e
r
e
p
etitio
n
(
ju
m
p
to
1
)
b
ec
o
m
es
th
e
XOR
o
f
th
e
cl
o
s
in
g
b
r
a
n
ch
(
R
u
le
#
7
)
.
T
h
en
,
s
eq
u
en
ce
f
lo
w
lin
e
s
ar
e
ad
d
e
d
ac
co
r
d
in
g
to
R
u
le
#
8
,
a
n
d
Data
s
to
r
es
‘
Pen
d
a
f
tar
an
’
an
d
‘
Pas
ien
’
a
r
e
cr
ea
ted
b
ased
o
n
R
u
le
#
9
b
ec
a
u
s
e
o
f
th
e
k
ey
v
er
b
s
‘
m
en
ca
r
i’
an
d
‘
d
atab
ase’
.
T
h
e
d
ia
g
r
am
o
f
B
PMN
o
b
tain
e
d
is
g
iv
en
in
Fig
u
r
e
5
.
4
.
2
.
T
he
re
s
ults o
f
1
5
c
a
s
e
s
t
ud
ies a
pp
lied
T
h
is
s
ec
tio
n
co
v
er
s
th
e
f
in
d
in
g
s
f
r
o
m
1
5
ca
s
e
s
tu
d
ies
in
clu
d
ed
in
Ap
p
en
d
ix
A.
T
h
e
FT
ex
tr
ac
tio
n
r
esu
lts
,
an
d
a
b
r
ief
d
escr
ip
tio
n
o
f
th
e
ca
s
e
s
tu
d
ies
a
r
e
also
p
r
o
v
id
e
d
in
Ap
p
e
n
d
ix
A.
Me
an
wh
ile,
th
e
B
PMN
d
iag
r
am
o
f
th
e
g
en
er
atio
n
r
esu
lts
is
g
iv
en
in
Ap
p
en
d
i
x
B
.
4
.
3
.
F
ind
ing
a
nd
dis
cus
s
io
n
As
s
tated
in
s
ec
tio
n
3
.
4
to
test
th
e
r
esu
lts
o
f
t
h
e
p
r
o
p
o
s
ed
m
eth
o
d
,
it
is
m
ea
s
u
r
ed
in
p
r
o
x
i
m
ity
to
t
h
e
r
esu
lts
o
f
m
ak
in
g
B
PMN
d
iag
r
am
s
b
y
an
ex
p
er
t.
E
x
p
e
r
ts
,
in
th
is
ca
s
e,
ar
e
th
o
s
e
wh
o
h
av
e
well
in
th
e
f
ield
o
f
s
o
f
twar
e
r
eq
u
ir
e
m
en
ts
en
g
i
n
ee
r
in
g
,
B
PMN
m
o
d
ellin
g
,
an
d
I
n
d
o
n
esian
.
E
x
p
er
ts
m
ad
e
B
PMN
d
iag
r
am
s
f
o
r
th
e
s
am
e
1
5
ca
s
e
s
tu
d
ies.
T
h
e
r
e
s
u
lts
ar
e
tab
led
,
an
d
th
en
MRE
an
d
MM
R
E
ar
e
ca
lcu
late
d
u
s
in
g
(
1
)
an
d
(
2
)
.
T
ab
le
s
h
o
ws
a
co
m
p
ar
is
o
n
o
f
th
e
r
esu
lts
o
f
m
a
k
in
g
B
PMN
d
iag
r
am
s
u
s
in
g
th
e
p
r
o
p
o
s
ed
m
eth
o
d
s
an
d
th
o
s
e
ca
r
r
ied
o
u
t
b
y
a
n
e
x
p
er
t.
C
o
m
p
ar
is
o
n
s
ar
e
m
ad
e
p
er
B
PMN
elem
en
t:
ac
tiv
ities
,
ev
en
ts
,
b
r
a
n
ch
es,
d
ata
s
to
r
es/
o
b
jects,
an
d
p
o
o
ls
/lan
es.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
7
0
8
I
n
t J E
lec
&
C
o
m
p
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n
g
,
Vo
l.
15
,
No
.
3
,
J
u
n
e
20
25
:
2
9
3
8
-
2
9
5
0
2946
Fig
u
r
e
5
.
T
h
e
g
e
n
er
ated
B
PMN
d
iag
r
am
f
r
o
m
ca
s
e
s
tu
d
y
1
4
T
h
e
test
s
th
at
h
av
e
b
ee
n
ca
r
r
ie
d
o
u
t
h
av
e
o
b
tain
ed
a
n
MM
R
E
er
r
o
r
r
ate
o
f
5
.
6
%
wh
ich
m
e
an
s
th
at
th
e
ac
cu
r
ac
y
lev
el
o
f
th
e
p
r
o
p
o
s
ed
m
eth
o
d
is
9
4
.
4
%
co
m
p
ar
ed
to
th
e
B
PMN
d
iag
r
am
m
ad
e
b
y
ex
p
er
ts
.
I
f
f
u
r
th
er
an
aly
s
is
is
ca
r
r
ied
o
u
t,
it
is
f
o
u
n
d
t
h
at
th
e
d
ev
iati
o
n
is
all
in
th
e
g
e
n
er
atio
n
o
f
b
r
a
n
ch
es
o
r
g
atew
ay
s
.
I
n
C
ase
Stu
d
ies
6
,
7
,
1
0
,
1
1
,
1
2
,
1
4
,
a
n
d
1
5
th
at
h
ad
b
r
a
n
ch
in
g
,
all
o
f
th
em
h
ad
d
e
v
iatio
n
s
o
f
1
1
,
1
%,
1
1
,
8
%,
1
0
.
5
%,
1
2
.
5
%,
2
5
%,
9
.
5
%,
a
n
d
7
.
4
%.
T
h
is
is
b
ec
au
s
e
t
h
e
s
et
o
f
r
u
l
es
r
ea
d
s
th
e
tex
t
s
eq
u
en
tiall
y
,
f
o
r
e
x
am
p
le,
if
two
s
en
ten
ce
s
co
n
tain
if
-
th
en
o
r
if
-
th
en
-
else,
th
en
two
p
air
s
o
f
X
OR
Gate
way
s
ar
e
cr
ea
ted
in
o
r
d
er
,
wh
ile
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p
er
t
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n
s
id
er
s
th
is
to
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e
a
p
air
o
f
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OR
Gate
way
s
th
at
h
av
e
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o
r
m
o
r
e
o
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tio
n
s
.
Fo
r
ex
am
p
le,
f
o
r
C
ase
Stu
d
y
1
1
,
th
e
last
two
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en
ten
ce
s
in
d
icate
th
e
ex
is
ten
ce
o
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s
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XOR
g
atew
ay
s
,
wh
ile
ac
co
r
d
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to
an
ex
p
e
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t,
it
is
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o
u
g
h
with
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p
air
o
f
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tewa
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.
Fo
r
f
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r
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ess
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y
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ef
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e
th
e
s
et
o
f
m
ap
p
in
g
r
u
les an
d
g
en
er
atio
n
o
f
B
PMN
d
iag
r
am
s
to
o
v
er
co
m
e
th
ese
wea
k
n
ess
es.
W
h
en
co
m
p
ar
e
d
to
p
r
ev
i
o
u
s
s
tu
d
ies,
th
is
s
tu
d
y
h
as
a
d
v
an
ta
g
es,
n
am
ely
:
i
)
T
h
is
s
tu
d
y
h
as
a
s
lig
h
tly
h
ig
h
er
ac
cu
r
ac
y
th
an
th
e
p
r
ev
i
o
u
s
s
tu
d
y
o
f
9
4
.
4
%,
wh
ile
th
e
p
r
ev
i
o
u
s
s
tu
d
y
was
9
2
.
8
3
%
[
1
8
]
,
8
1
%
[
2
5
]
,
an
d
9
1
.
9
2
[
1
6
]
.
ii
)
T
h
is
s
tu
d
y
d
o
e
s
n
o
t
u
s
e
th
e
m
ed
iu
m
o
f
in
ter
m
ed
iate
r
ep
r
esen
tatio
n
b
u
t
u
s
es
a
s
et
o
f
r
u
les
an
d
s
u
b
s
titu
tio
n
s
o
f
tex
t
with
FT
to
g
en
er
ate
B
PMN
d
iag
r
am
s
s
o
t
h
at
it
is
ea
s
ier
to
m
an
ag
e
th
em
.
An
d
iii
)
t
h
is
s
tu
d
y
u
s
es
f
u
n
ctio
n
al
r
eq
u
ir
e
m
en
ts
in
p
u
t
in
th
e
f
o
r
m
o
f
I
n
d
o
n
esian
tex
ts
th
at
h
av
e
n
o
t
b
ee
n
f
o
u
n
d
in
p
r
ev
io
u
s
s
tu
d
ies.
T
h
is
s
tu
d
y
o
f
f
er
s
s
ig
n
if
ican
t
b
en
ef
its
in
th
e
f
ield
s
o
f
s
o
f
twar
e
en
g
i
n
ee
r
in
g
,
b
u
s
in
es
s
p
r
o
ce
s
s
m
an
ag
em
en
t,
a
n
d
in
f
o
r
m
atio
n
tech
n
o
lo
g
y
.
W
e
h
av
e
id
en
t
if
ied
s
ev
er
al
k
ey
co
n
tr
ib
u
tio
n
s
o
f
th
is
r
esear
ch
,
n
am
ely
:
i)
Au
to
m
atio
n
o
f
B
PMN
Diag
r
am
C
r
ea
tio
n
in
I
n
d
o
n
esi
an
:
T
h
is
s
tu
d
y
is
th
e
f
ir
s
t
t
o
d
ev
elo
p
a
m
eth
o
d
f
o
r
au
t
o
m
atin
g
t
h
e
cr
ea
tio
n
o
f
B
PMN
d
iag
r
am
s
d
ir
ec
tly
f
r
o
m
f
u
n
ctio
n
al
r
eq
u
ir
em
en
ts
tex
ts
in
I
n
d
o
n
esian
.
T
h
is
co
n
tr
ib
u
tio
n
n
o
t o
n
ly
ac
ce
ler
a
tes
m
an
u
al
p
r
o
ce
s
s
es
b
u
t
also
ex
p
an
d
s
th
e
s
co
p
e
o
f
n
atu
r
al
l
an
g
u
ag
e
p
r
o
ce
s
s
in
g
(
NL
P)
tech
n
o
lo
g
y
to
s
u
p
p
o
r
t
th
e
I
n
d
o
n
esian
lan
g
u
a
g
e,
wh
i
ch
r
em
ain
s
u
n
d
er
r
ep
r
esen
ted
in
g
lo
b
al
r
esear
ch
;
ii)
Acc
eler
atio
n
o
f
th
e
s
o
f
twa
r
e
d
ev
elo
p
m
e
n
t
life
cy
cle:
B
y
en
ab
lin
g
th
e
r
ap
id
tr
an
s
f
o
r
m
at
io
n
o
f
r
e
q
u
ir
em
e
n
t
tex
ts
in
to
b
u
s
in
ess
p
r
o
ce
s
s
d
ia
g
r
am
s
,
th
is
s
tu
d
y
s
p
ee
d
s
u
p
th
e
s
o
f
twar
e
d
e
v
elo
p
m
e
n
t
life
cy
cle.
Au
to
m
atica
lly
g
en
er
ated
B
PMN
d
iag
r
am
s
allo
w
d
ev
elo
p
m
e
n
t
team
s
to
q
u
ick
ly
v
is
u
alize
s
y
s
tem
r
eq
u
ir
em
en
ts
an
d
b
eg
in
th
e
im
p
lem
en
tatio
n
p
h
ase;
iii)
E
n
h
an
cin
g
ac
cu
r
ac
y
an
d
ef
f
icien
cy
:
T
h
e
au
to
m
ated
ap
p
r
o
ac
h
r
ed
u
ce
s
th
e
r
is
k
o
f
m
is
in
ter
p
r
etatio
n
co
m
m
o
n
l
y
e
n
co
u
n
ter
e
d
in
m
an
u
al
d
iag
r
a
m
m
in
g
.
Mo
r
e
ac
c
u
r
ate
r
esu
lts
en
ab
le
m
o
r
e
p
r
ec
is
e
id
en
tific
atio
n
o
f
f
u
n
ctio
n
al
r
e
q
u
ir
em
en
ts
wh
ile
im
p
r
o
v
in
g
ef
f
icien
cy
in
b
u
s
in
ess
p
r
o
ce
s
s
d
esig
n
;
iv
)
Su
p
p
o
r
tin
g
m
u
ltis
tak
eh
o
ld
er
co
m
m
u
n
icati
o
n
:
B
PMN
is
a
v
i
s
u
al
lan
g
u
ag
e
co
m
p
r
e
h
en
s
ib
le
to
v
ar
i
o
u
s
s
tak
eh
o
ld
er
s
,
b
o
th
tech
n
ical
an
d
n
o
n
-
tech
n
ical.
B
y
g
en
er
atin
g
d
iag
r
a
m
s
f
r
o
m
f
u
n
ctio
n
al
r
eq
u
ir
em
en
t
te
x
ts
in
I
n
d
o
n
esian
,
th
is
r
esear
ch
clar
if
ies
co
m
m
u
n
icat
io
n
b
etwe
en
b
u
s
in
e
s
s
an
aly
s
ts
,
d
ev
elo
p
e
r
s
,
an
d
en
d
-
u
s
er
s
,
m
in
im
izin
g
p
o
ten
tial
m
is
u
n
d
er
s
tan
d
in
g
s
;
a
n
d
v
)
Fo
u
n
d
atio
n
f
o
r
f
u
r
th
er
s
tu
d
ies
in
s
o
f
twar
e
m
etr
ics
:
B
PMN
d
iag
r
a
m
s
g
en
er
ated
f
r
o
m
tex
ts
ca
n
h
av
e
th
eir
co
m
p
lex
it
y
an
aly
ze
d
,
as
d
is
cu
s
s
ed
in
[
3
9
]
.
T
h
er
e
f
o
r
e,
t
h
is
s
tu
d
y
o
p
e
n
s
a
n
ew
p
ath
way
f
o
r
q
u
an
titativ
e
r
esear
ch
b
ased
o
n
b
u
s
in
ess
p
r
o
ce
s
s
es;
an
d
v
i)
a
p
p
licatio
n
o
f
tech
n
o
l
o
g
y
f
o
r
l
o
ca
l
co
n
tex
ts
:
T
h
is
r
esear
ch
n
o
t
o
n
l
y
ad
v
an
ce
s
N
L
P
b
u
t
also
c
o
n
tr
ib
u
tes
to
th
e
d
ev
elo
p
m
en
t
o
f
tec
h
n
o
lo
g
y
th
at
ca
ter
s
to
l
o
ca
l
n
ee
d
s
.
I
t
f
ac
ilit
ates
th
e
ad
o
p
tio
n
o
f
au
t
o
m
ated
B
PMN
tech
n
o
lo
g
y
b
y
I
n
d
o
n
esian
co
m
p
a
n
ies,
r
ed
u
cin
g
r
elian
ce
o
n
in
ter
n
atio
n
al
s
o
lu
tio
n
s
th
at
m
ay
n
o
t
f
u
lly
alig
n
with
t
h
e
la
n
g
u
ag
e
an
d
cu
ltu
r
al
co
n
tex
t.
T
h
is
s
tu
d
y
n
o
t
o
n
ly
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
-
8
7
0
8
Gen
era
tio
n
o
f b
u
s
in
ess
p
r
o
ce
s
s
mo
d
elin
g
n
o
ta
tio
n
d
ia
g
r
a
m
s
fr
o
m
textu
a
l fu
n
ctio
n
a
l …
(
S
h
o
liq
S
h
o
liq
)
2947
p
r
o
v
id
es p
r
ac
tical
s
o
lu
tio
n
s
f
o
r
ac
ce
ler
atin
g
an
d
en
h
a
n
cin
g
t
h
e
ef
f
icien
c
y
o
f
B
PMN
d
iag
r
a
m
cr
ea
tio
n
b
u
t
also
m
ak
es
a
s
ig
n
if
ican
t
s
cien
tific
co
n
tr
ib
u
tio
n
t
o
ex
p
an
d
i
n
g
t
h
e
s
co
p
e
o
f
NL
P
a
n
d
b
u
s
in
e
s
s
p
r
o
ce
s
s
s
tu
d
ies,
p
ar
ticu
lar
ly
in
th
e
co
n
te
x
t
o
f
t
h
e
I
n
d
o
n
esi
an
lan
g
u
a
g
e.
I
t
estab
lis
h
es
a
s
tr
o
n
g
f
o
u
n
d
atio
n
f
o
r
f
u
r
th
e
r
r
esear
ch
in
th
e
f
ield
s
o
f
in
f
o
r
m
atio
n
tech
n
o
lo
g
y
a
n
d
b
u
s
in
ess
p
r
o
ce
s
s
m
an
ag
em
en
t
.
T
ab
le
6
.
E
v
alu
atio
n
o
f
p
r
o
p
o
s
ed
m
eth
o
d
s
an
d
ex
p
er
ts
f
o
r
th
e
g
en
er
atio
n
o
f
B
PMN
d
iag
r
a
m
s
R
e
q
no
A
c
t
i
v
i
t
y
Ev
e
n
t
B
r
a
n
c
h
P
o
o
l
/
La
n
e
D
a
t
a
st
o
r
e
/
o
b
j
e
c
t
M
S
E
(
%)
PM
Ex
p
PM
Ex
p
PM
Ex
p
PM
Ex
p
PM
Ex
p
PM
Ex
p
D
e
v
1
3
3
2
2
0
0
3
3
1
1
9
9
0
0
2
6
6
2
2
0
0
3
3
1
1
12
12
0
0
3
6
6
2
2
0
0
3
3
1
1
12
12
0
0
4
8
8
2
2
0
0
3
3
4
4
17
17
0
0
5
9
9
2
2
2
2
3
3
2
2
18
18
0
0
6
8
8
2
2
6
4
3
3
1
1
20
18
2
1
1
.
1
7
9
9
2
2
4
2
3
3
1
1
19
17
2
1
1
.
8
8
8
8
2
2
4
4
3
3
3
3
20
20
0
0
9
11
11
2
2
6
6
3
3
3
3
24
24
0
0
10
9
9
2
2
6
4
3
3
1
1
21
19
2
1
0
.
5
11
7
7
2
2
4
2
3
3
2
2
18
16
2
1
2
.
5
12
8
8
6
6
10
4
3
3
3
3
30
24
6
2
5
.
0
13
7
7
2
2
4
4
3
3
2
2
18
18
0
0
14
9
9
2
2
6
4
3
3
3
3
23
21
2
9
.
5
15
15
15
2
2
6
4
3
3
3
3
29
27
2
7
.
4
M
M
R
E
(
%)
5
.
6
A
b
b
r
e
v
i
a
t
i
o
n
s
:
D
e
v
=
D
e
v
i
a
t
i
o
n
,
E
x
p
=
Ex
p
e
r
t
,
P
M
=
P
r
o
p
o
se
d
M
e
t
h
o
d
,
R
e
q
=
R
e
q
u
i
r
e
me
n
t
s
Me
an
wh
ile,
th
e
lim
itatio
n
s
o
f
th
is
s
tu
d
y
an
d
th
e
p
r
o
p
o
s
als
f
o
r
th
e
n
e
x
t
s
tu
d
y
in
clu
d
e
i)
T
h
e
B
PM
N
d
iag
r
am
v
is
u
aliza
tio
n
au
t
o
m
at
io
n
p
r
o
ce
s
s
h
as n
o
t
b
ee
n
ca
r
r
i
ed
o
u
t
in
t
h
is
s
tu
d
y
,
t
h
u
s
o
p
en
i
n
g
u
p
o
p
p
o
r
tu
n
ities
to
au
to
m
ate
th
e
B
PMN
d
iag
r
am
g
en
er
atio
n
v
is
u
ali
za
tio
n
p
r
o
ce
s
s
,
s
o
th
is
will
m
ak
e
it
m
o
r
e
p
r
ac
tical
an
d
u
s
er
f
r
ien
d
ly
;
ii)
Ma
p
p
in
g
an
d
g
e
n
er
atin
g
r
u
les
th
at
ca
n
n
o
t
h
an
d
le
XOR
g
atew
ay
s
with
m
u
ltip
le
ch
o
ices.
Fo
r
th
e
n
ex
t
s
tu
d
y
,
it
is
n
ec
ess
ar
y
to
th
in
k
ab
o
u
t
it
s
o
th
at
it
ca
n
b
e
d
o
n
e;
an
d
iii)
T
h
is
s
tu
d
y
n
ee
d
s
to
b
e
test
ed
with
m
o
r
e
ca
s
e
s
tu
d
ies
an
d
in
v
o
lv
e
s
d
if
f
er
en
t
ty
p
es
o
f
s
o
f
twar
e
i
n
ad
d
itio
n
to
b
u
s
in
ess
s
o
f
twar
e
ap
p
licatio
n
s
,
s
u
ch
as e
m
b
ed
d
ed
s
o
f
twar
e,
web
ap
p
licatio
n
s
,
m
o
b
ile
ap
p
licatio
n
s
,
an
d
o
t
h
er
s
.
5.
CO
NCLU
SI
O
N
T
h
is
p
ap
er
p
r
o
p
o
s
es
a
n
ew
m
eth
o
d
to
g
en
er
ate
B
PMN
d
iag
r
am
s
f
r
o
m
f
u
n
ctio
n
al
r
eq
u
ir
em
en
ts
in
I
n
d
o
n
esian
tex
t.
T
h
is
s
tu
d
y
is
in
ter
esti
n
g
b
ec
au
s
e,
in
th
e
ea
r
l
y
s
tag
es
o
f
s
o
f
twar
e
d
ev
elo
p
m
en
t,
th
e
f
u
n
ctio
n
al
r
eq
u
ir
em
e
n
ts
o
b
tain
ed
f
r
o
m
t
h
e
clien
t
o
r
s
y
s
tem
o
wn
er
ar
e
u
s
u
ally
in
t
h
e
tex
t
k
n
o
w
n
as
u
s
er
s
to
r
ies.
T
o
g
et
f
u
n
ctio
n
al
r
eq
u
ir
e
m
en
ts
in
v
is
u
al
f
o
r
m
to
m
ak
e
th
e
m
ea
s
ier
t
o
u
n
d
er
s
tan
d
,
o
n
e
o
f
t
h
em
is
p
r
esen
ted
in
a
B
PMN
d
iag
r
am
.
Fo
r
th
is
p
u
r
p
o
s
e,
it
is
n
ec
ess
ar
y
to
g
en
er
ate
B
PM
N
d
iag
r
am
s
f
r
o
m
f
u
n
ctio
n
al
r
eq
u
ir
e
m
en
ts
in
t
h
e
f
o
r
m
o
f
tex
t.
Un
lik
e
p
r
e
v
io
u
s
s
tu
d
ies,
th
is
s
t
u
d
y
d
o
es
n
o
t
u
s
e
in
ter
m
ed
iate
r
ep
r
esen
tatio
n
m
ed
ia
to
g
e
n
er
a
te
B
PM
N
d
iag
r
am
s
.
I
n
th
is
s
tu
d
y
,
th
e
s
u
b
s
titu
tio
n
o
f
Fact
T
y
p
e
to
in
p
u
t
tex
t
is
im
p
lem
en
ted
,
an
d
th
en
th
e
m
ap
p
in
g
an
d
d
iag
r
am
g
e
n
er
atio
n
r
u
le
s
ets
ar
e
ap
p
lied
.
T
h
er
ef
o
r
e,
th
e
p
r
o
p
o
s
ed
m
eth
o
d
is
s
im
p
ler
an
d
f
aster
to
g
en
er
ate
d
iag
r
am
s
.
T
h
e
test
r
esu
lts
f
r
o
m
ex
am
in
in
g
1
5
ca
s
e
s
tu
d
ies
o
n
th
e
f
u
n
ctio
n
al
r
eq
u
ir
em
en
ts
o
f
t
h
e
m
in
i
-
h
o
s
p
ital
s
o
f
twar
e
ap
p
licatio
n
s
h
o
wed
a
n
MM
R
E
er
r
o
r
r
ate
o
f
5
.
6
%.
T
h
is
in
d
icate
s
th
at
th
e
p
r
o
p
o
s
ed
m
eth
o
d
ac
h
iev
es
an
ac
cu
r
ac
y
r
ate
o
f
9
4
.
4
%.
T
h
e
n
ex
t
s
tu
d
y
th
at
ca
n
b
e
ca
r
r
ied
o
u
t
is
to
im
p
r
o
v
e
th
e
s
et
o
f
m
ap
p
in
g
r
u
les
an
d
th
e
g
e
n
er
atio
n
o
f
B
PMN
d
iag
r
am
s
s
o
th
at
it
is
p
o
s
s
ib
le
to
g
et
an
X
OR
g
atew
a
y
with
m
u
ltip
le
ch
o
ice.
T
h
e
n
ex
t stu
d
y
also
n
ee
d
s
to
au
to
m
ate
th
e
B
PMN
d
iag
r
am
v
is
u
aliza
tio
n
p
r
o
ce
s
s
wi
th
th
e
in
p
u
t
o
f
tex
tu
al
f
u
n
cti
o
n
al
r
eq
u
i
r
em
en
ts
.
E
x
p
an
d
e
d
ca
s
e
s
tu
d
y
test
in
g
w
ith
em
b
ed
d
ed
s
o
f
twar
e
ap
p
lica
tio
n
s
,
web
ap
p
licatio
n
s
,
m
o
b
ile
ap
p
licatio
n
s
,
an
d
o
th
er
s
also
n
ee
d
s
to
b
e
ca
r
r
ied
o
u
t in
f
u
tu
r
e
s
tu
d
ies.
F
UNDING
I
NF
O
R
M
A
T
I
O
N
T
h
is
wo
r
k
was
s
u
p
p
o
r
te
d
b
y
th
e
I
T
S
2
0
2
4
Scien
tific
R
esear
ch
s
ch
em
e
u
n
d
er
Gr
an
t
No
.
1
1
8
1
/PKS
/I
T
S/2
0
2
4
.
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