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o
th
er
s
w
h
ich
is
a
co
m
b
i
n
ati
o
n
o
f
t
h
e
al
lo
w
ed
f
o
o
d
s
f
o
r
b
etter
h
ea
lt
h
an
d
f
as
ter
w
o
u
n
d
h
ea
li
n
g
.
A
s
t
u
d
y
b
y
[
6
]
clai
m
ed
th
at
th
e
r
ec
ip
es
p
r
o
v
id
ed
ar
e
f
o
r
m
o
th
er
s
i
n
co
n
f
in
e
m
e
n
t
to
co
n
s
u
m
e
ar
e
tast
y
Ma
la
y
d
i
s
h
e
s
w
h
ic
h
ca
n
h
elp
i
n
h
ea
li
n
g
th
e
i
r
b
o
d
y
alo
n
g
w
it
h
h
a
v
in
g
a
h
e
alth
y
d
iet.
I
t
is
s
u
p
p
o
r
ted
b
y
[
7
]
w
h
ich
s
tated
t
h
at
th
e
r
ec
ip
es
ar
e
g
r
ea
t
f
o
r
m
o
t
h
er
s
to
h
a
v
e
e
n
o
u
g
h
n
u
tr
ien
t
in
ta
k
e
.
C
u
r
r
en
tl
y
,
f
e
w
i
n
tak
e
k
n
o
w
led
g
es
w
er
e
f
o
u
n
d
i
n
t
h
e
l
iter
atu
r
e,
b
u
t
it
i
s
n
o
t
en
o
u
g
h
a
s
m
o
s
t
o
f
th
e
k
n
o
w
led
g
e
o
n
t
h
e
i
n
ta
k
e
ca
n
o
n
l
y
b
e
f
etch
ed
f
r
o
m
m
id
w
i
v
es
‟
e
x
p
er
ien
ce
[
8
]
.
T
h
i
s
m
id
w
iv
e
s
‟
e
x
p
er
ien
ce
i
s
i
n
a
f
o
r
m
o
f
tacit
k
n
o
w
led
g
e.
A
cc
o
r
d
in
g
to
[
9
]
,
taci
t
k
n
o
w
led
g
e
is
co
m
i
n
g
f
r
o
m
o
n
e‟
s
ex
p
er
ie
n
ce
an
d
it
i
s
h
ig
h
l
y
p
er
s
o
n
al
a
n
d
v
er
y
co
n
te
x
t
-
s
p
ec
if
ic.
He
n
ce
,
to
p
r
eser
v
e
th
e
tacit
k
n
o
w
led
g
e
f
r
o
m
t
h
e
m
id
w
iv
e
s
,
th
i
s
p
ap
er
p
r
esen
ts
an
o
n
to
lo
g
y
m
o
d
el
w
h
ic
h
co
u
ld
b
e
a
s
o
lu
tio
n
to
m
o
d
el
th
e
k
n
o
w
led
g
e
s
o
th
at
i
t c
an
b
e
r
etr
iev
ed
in
th
e
f
u
tu
r
e.
2.
L
I
T
E
R
AT
U
RE
R
E
VI
E
W
T
h
e
co
n
ce
p
t
o
f
o
n
to
lo
g
y
m
o
d
el
is
a
p
ar
t
o
f
k
n
o
w
led
g
e
m
a
n
ag
e
m
e
n
t
tec
h
n
o
lo
g
y
.
W
h
e
n
it
co
m
e
s
to
k
n
o
w
led
g
e
m
a
n
ag
e
m
e
n
t,
it
is
th
e
p
r
o
ce
s
s
th
at
in
te
g
r
ates
t
h
e
tacit
an
d
ex
p
licit
k
n
o
w
led
g
e.
E
x
p
licit
k
n
o
w
led
g
e
i
m
p
lies
t
h
e
m
ea
n
s
o
f
co
llecti
n
g
t
h
e
k
n
o
w
led
g
e
m
a
n
ag
e
m
e
n
t
m
e
th
o
d
o
lo
g
ies,
w
h
ile
o
n
t
h
e
o
th
er
h
a
n
d
,
tacit
k
n
o
w
led
g
e
i
m
p
lies
th
e
m
ea
n
s
o
f
co
n
n
ec
ti
n
g
k
n
o
w
led
g
e
m
a
n
ag
e
m
e
n
t
m
et
h
o
d
o
lo
g
y
[1
0
]
.
Usu
all
y
,
tac
it
k
n
o
w
led
g
e
is
o
f
te
n
p
o
s
s
es
s
ed
b
y
s
o
m
e
i
n
d
i
v
id
u
al
s
i
n
p
ar
ticu
lar
b
u
s
in
e
s
s
e
n
v
ir
o
n
m
e
n
t
[1
1
]
.
On
e
o
f
th
e
v
ita
l
ch
ar
ac
ter
is
tic
s
o
f
k
n
o
w
led
g
e
m
an
a
g
e
m
e
n
t
is
r
ep
r
ese
n
ti
n
g
k
n
o
w
led
g
e
i
n
d
o
cu
m
en
t
s
,
d
ata
b
ases
an
d
s
o
f
t
w
ar
e.
Fo
r
th
e
s
a
k
e
o
f
r
ep
r
esen
ti
n
g
k
n
o
w
led
g
e,
th
er
e
ar
e
s
ev
er
al
s
tag
e
s
t
h
at
k
n
o
w
led
g
e
en
g
i
n
e
er
s
n
ee
d
to
k
n
o
w
.
First
i
s
th
e
ac
q
u
is
itio
n
o
f
k
n
o
w
led
g
e
w
h
er
e
k
n
o
w
led
g
e
is
in
tacit
f
o
r
m
,
s
ca
tter
ed
an
d
u
n
o
r
g
an
ized
.
T
h
e
k
n
o
w
led
g
e
s
p
ec
iali
s
t
s
h
o
u
ld
l
ea
r
n
an
d
co
m
p
r
e
h
en
d
ab
o
u
t
t
h
e
ex
p
lic
it
a
n
d
tacit
d
etail
o
f
th
e
k
n
o
w
led
g
e
an
d
af
ter
w
ar
d
u
til
ize
m
o
d
els
an
d
d
iag
r
a
m
s
to
ill
u
s
tr
ate
t
h
e
n
e
w
k
n
o
w
led
g
e
as
a
co
m
m
u
n
icat
io
n
a
m
o
n
g
u
s
er
s
a
n
d
k
n
o
w
led
g
e
ex
p
er
ts
.
Af
ter
s
e
v
er
al
d
is
cu
s
s
io
n
s
,
a
co
n
ce
p
t
u
al
m
o
d
el
w
ill
b
e
d
e
v
elo
p
ed
b
ased
o
n
th
e
d
ec
i
s
io
n
s
w
h
ic
h
is
t
h
e
m
o
d
elli
n
g
o
f
k
n
o
w
led
g
e
w
h
ich
o
n
e
o
f
it is
a
n
o
n
to
lo
g
y
m
o
d
el
.
A
cc
o
r
d
in
g
to
[1
2
]
,
th
e
w
o
r
d
o
n
to
lo
g
y
co
n
s
i
s
ts
o
f
t
w
o
d
if
f
er
e
n
t
p
er
s
p
ec
ti
v
es
w
h
ic
h
ar
e
t
h
e
ap
p
licatio
n
o
f
o
n
to
lo
g
y
to
co
m
p
u
ter
s
cie
n
ce
a
n
d
th
e
p
h
ilo
s
o
p
h
ical
r
o
o
ts
p
er
s
p
ec
ti
v
es.
I
n
t
h
e
p
er
s
p
ec
ti
v
e
o
f
th
e
p
h
ilo
s
o
p
h
ical
r
o
o
ts
,
p
h
ilo
s
o
p
h
er
s
ar
e
k
ee
n
er
i
n
t
h
e
p
h
ilo
s
o
p
h
ical
id
ea
s
.
Me
an
w
h
ile,
in
th
e
p
er
s
p
ec
tiv
e
o
f
its
ap
p
licatio
n
to
co
m
p
u
ter
s
c
ien
ce
,
o
n
to
lo
g
y
e
n
g
i
n
ee
r
s
f
o
c
u
s
o
n
h
o
w
o
n
to
lo
g
ies
ar
e
u
s
e
d
to
v
is
u
a
lize,
u
s
e
an
d
ex
p
a
n
d
p
iece
s
o
f
d
o
m
a
in
k
n
o
w
led
g
e
a
n
d
m
et
h
o
d
s
o
f
t
h
e
o
n
to
lo
g
y
b
ei
n
g
ap
p
lied
in
ap
p
licatio
n
.
T
h
er
ef
o
r
e,
o
n
to
lo
g
y
ca
n
b
e
d
ef
in
ed
as
th
e
p
iece
s
o
f
d
o
m
ai
n
k
n
o
w
led
g
e
w
h
ich
w
i
ll
b
e
co
n
s
tr
u
cted
i
n
a
m
ac
h
in
e
i
n
ter
p
r
etab
le
lan
g
u
a
g
e
[1
3
, 1
4
]
.
I
n
ad
d
itio
n
,
[1
5
]
s
u
g
g
e
s
ted
th
e
t
w
o
ai
m
s
o
f
o
n
to
l
o
g
ies
ar
e
to
ex
p
lain
th
e
m
o
s
t
co
m
m
o
n
l
y
u
s
ed
ter
m
s
in
a
s
p
ec
i
f
ic
d
o
m
ai
n
w
h
ic
h
lead
s
to
co
n
s
tr
u
cti
n
g
a
s
k
el
eto
n
an
d
to
al
lo
w
t
h
e
d
is
s
e
m
in
at
io
n
o
f
k
n
o
w
led
g
e.
I
t is
s
u
p
p
o
r
ted
b
y
[
1
6
]
th
at
o
n
to
lo
g
y
m
o
d
el
h
e
lp
s
to
s
p
ec
if
y
k
n
o
w
led
g
e
co
n
te
n
t.
A
cc
o
r
d
in
g
to
[1
7
]
,
th
e
co
m
p
o
n
e
n
t
s
o
f
o
n
to
lo
g
y
ar
e
C
las
s
es,
I
n
d
i
v
id
u
al
s
a
n
d
R
elatio
n
s
.
C
las
s
es
w
h
ic
h
ar
e
also
k
n
o
w
n
as
t
h
e
t
y
p
es,
co
n
ce
p
ts
o
r
u
n
iv
er
s
als
ar
e
o
n
e
o
f
th
e
m
a
in
co
m
p
o
n
e
n
t
s
o
f
o
n
to
lo
g
y
.
A
class
s
er
v
es
as
a
g
r
o
u
p
o
f
v
ar
io
u
s
I
n
d
iv
id
u
als
w
h
ic
h
h
as
co
m
m
o
n
attr
ib
u
tes.
O
n
e
cla
s
s
c
an
b
e
a
s
u
b
clas
s
to
an
o
th
er
cla
s
s
a
n
d
cla
s
s
es
ca
n
also
s
h
ar
e
r
elatio
n
s
h
ip
s
w
it
h
o
n
e
a
n
o
th
er
.
Me
a
n
w
h
ile,
I
n
d
i
v
i
d
u
als
o
r
also
ca
lled
as
in
s
tan
ce
s
o
r
p
ar
tic
u
lar
s
,
s
er
v
e
as
t
h
e
b
ase
u
n
it
o
f
an
o
n
to
lo
g
y
w
h
ic
h
ar
e
th
e
t
h
i
n
g
s
th
at
a
n
o
n
to
lo
g
y
d
escr
ib
es
an
d
ca
n
b
e
co
n
cr
ete
o
b
j
ec
ts
(
i.e
.
:
p
eo
p
le)
o
r
ab
s
tr
ac
t
o
b
j
ec
t
(
i.e
.
:
a
p
er
s
o
n
‟
s
j
o
b
)
.
T
h
e
last
co
m
p
o
n
e
n
t
w
h
ic
h
is
t
h
e
r
elatio
n
is
th
e
w
a
y
an
o
n
to
lo
g
y
d
escr
ib
es
ass
o
ciatio
n
s
b
et
wee
n
I
n
d
iv
id
u
als
o
r
ass
o
ciatio
n
s
b
et
w
ee
n
C
las
s
es.
T
h
er
e
ar
e
lo
ts
o
f
o
n
to
lo
g
y
m
o
d
el
ex
a
m
p
le
s
t
h
at
ar
e
f
o
cu
s
i
n
g
o
n
th
e
tr
ad
itio
n
a
l
k
n
o
w
led
g
e
s
u
c
h
a
s
MCD
o
n
to
lo
g
y
m
o
d
el
b
y
[
3
,
4
,
5
]
an
d
I
n
d
o
n
e
s
ia
Ja
mu
On
to
lo
g
y
Mo
d
el
b
y
[
1
8
]
.
T
h
er
ef
o
r
e,
k
n
o
w
led
g
e
m
an
a
g
e
m
e
n
t
p
la
y
s
a
b
ig
r
o
le
i
n
r
ep
r
esen
t
in
g
k
n
o
w
led
g
e
i
n
s
o
f
t
w
ar
e,
d
o
cu
m
e
n
t
s
a
n
d
d
atab
ases
b
y
t
h
e
h
elp
o
f
k
n
o
w
led
g
e
m
o
d
ell
in
g
w
h
ic
h
w
id
el
y
k
n
o
w
n
a
s
o
n
to
lo
g
y
m
o
d
el
as
ac
co
r
d
in
g
to
[
19
]
,
w
e
b
o
n
to
lo
g
y
lan
g
u
ag
e
(
OW
L
)
h
as b
ec
o
m
e
n
e
w
s
ta
n
d
ar
d
f
o
r
k
n
o
w
led
g
e
p
r
es
en
ta
tio
n
.
3.
RE
S
E
ARCH
M
E
T
H
O
D
T
h
er
e
ar
e
a
lo
t
o
f
m
e
th
o
d
s
ca
n
b
e
u
s
ed
to
d
ev
elo
p
t
h
e
o
n
to
l
o
g
y
,
b
u
t
ac
co
r
d
in
g
to
[
2
0
]
,
it
m
u
s
t
m
ee
t
th
e
p
u
r
p
o
s
e
an
d
r
ea
s
o
n
s
w
h
y
it
is
b
ein
g
d
esig
n
ed
.
T
h
er
e
ar
e
f
e
w
s
ta
g
es
n
ee
d
to
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s
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d
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ai
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e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
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esia
n
J
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-
4752
On
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M
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n
✔
✔
✔
✔
✔
✔
✔
✔
C
h
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n
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✔
✔
✔
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✔
✔
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n
c
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✔
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M
a
c
k
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l
✔
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Jew
f
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sh
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✔
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Nex
t,
t
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m
[
6
,
7
]
an
d
[
2
3
]
.
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h
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w
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s
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ter
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ata
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d
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s
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n
ex
t
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to
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1
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[2
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]
as sh
o
w
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r
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o
llo
w
ed
:
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u
r
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1
.
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p
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0
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2
2
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elate
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etails
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ca
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SP
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m
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t
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y
t
h
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f
i
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o
n
to
lo
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m
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d
el
f
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in
ta
k
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s
u
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d
p
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t
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ec
ip
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t
h
e
n
v
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ated
.
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
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J
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g
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1
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J
an
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ar
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20
20
:
48
1
-
488
484
4.
RE
SU
L
T
S
A
ND
AN
AL
Y
SI
S
B
ased
o
n
th
e
s
tep
s
in
O
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to
l
o
g
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De
v
elo
p
m
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n
t
1
0
1
,
th
e
c
lass
es
s
h
o
u
ld
b
e
d
e
f
in
ed
f
ir
s
t
af
ter
th
e
d
o
m
ai
n
(
MC
D)
an
d
ter
m
s
(
i
n
t
ak
e
s
u
g
g
e
s
tio
n
a
n
d
p
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ar
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n
m
eth
o
d
w
it
h
r
ec
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es)
is
d
e
f
i
n
ed
.
T
h
is
s
ec
tio
n
is
d
iv
id
ed
in
to
4
.
1
class
e
s
a
n
d
o
b
j
ec
t
p
r
o
p
e
r
ties
cr
ea
tio
n
a
n
d
4
.
2
r
elatio
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s
h
ip
b
et
w
ee
n
t
h
e
class
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s
a
n
d
o
b
j
ec
t
p
r
o
p
er
ties
an
d
4
.
3
test
in
g
o
f
th
e
o
n
to
lo
g
y
.
4
.
1
.
Cla
s
s
es a
nd
O
bje
ct
P
ro
pert
ies Cr
ea
t
io
n
Or
ig
i
n
all
y
,
f
r
o
m
t
h
e
o
n
to
lo
g
y
m
o
d
el,
a
f
e
w
c
lass
e
s
w
er
e
ex
i
s
ted
.
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n
th
i
s
r
esear
ch
,
th
r
ee
n
e
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cla
s
s
es
h
av
e
b
ee
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ad
d
ed
w
h
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h
ar
e
I
n
ta
ke
,
P
r
ep
a
r
a
tio
n
an
d
P
u
r
p
o
s
e
as sh
o
w
n
in
Fig
u
r
e
2
.
Fig
u
r
e
2
.
Ne
w
cla
s
s
es i
n
s
id
e
th
e
o
r
ig
i
n
al
MCD O
n
to
lo
g
y
M
o
d
el
Fo
r
ea
ch
n
e
w
clas
s
,
s
o
m
e
s
u
b
class
es
h
a
v
e
b
ee
n
ad
d
ed
ac
co
r
d
in
g
to
it
s
o
w
n
tax
o
n
o
m
y
.
Fo
r
ex
a
m
p
le,
th
e
I
n
tak
e
clas
s
co
n
s
is
t
s
o
f
t
h
r
ee
s
u
b
cla
s
s
es
w
h
ich
ar
e
t
h
e
B
r
ea
kfa
s
t
,
Lu
n
ch
an
d
Din
n
er
.
T
h
is
d
ata
w
as
tak
e
n
f
r
o
m
t
h
e
ar
ticle
t
h
at
ta
lk
s
ab
o
u
t
t
h
e
co
n
v
en
tio
n
al
m
ea
l
p
atte
r
n
f
o
r
a
p
er
s
o
n
t
h
at
w
er
e
w
r
itt
en
b
y
[
25
]
.
B
esid
es
th
at,
th
e
P
u
r
p
o
s
e
cla
s
s
is
cr
ea
ted
an
d
ca
n
b
e
d
iv
id
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in
to
Di
s
h
,
R
eh
ea
t_
F
o
o
d
an
d
S
to
r
a
g
e
.
T
h
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S
to
r
a
g
e
w
er
e
r
etr
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f
r
o
m
th
e
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p
ag
e
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p
lai
n
s
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n
th
e
p
r
ep
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n
o
f
f
o
o
d
[
1
6
,
1
7
]
.
T
h
e
Dis
h
class
co
n
ta
in
s
s
ev
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i
n
s
tan
ce
s
w
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e
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,
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n
f
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th
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ee
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ec
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b
o
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k
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w
h
ich
w
er
e
w
r
itte
n
b
y
[
6
,
7
]
an
d
[
1
8
].
Hen
ce
,
f
r
o
m
t
h
e
clas
s
es
its
e
lf
,
w
e
ca
n
s
ee
t
h
e
v
i
s
u
a
lizatio
n
o
f
th
e
d
ata
in
t
h
e
o
n
to
lo
g
y
.
Fo
r
ex
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m
p
le,
th
e
f
o
o
d
ca
n
b
e
ta
k
en
ac
co
r
d
in
g
to
s
u
b
class
es
i
n
s
id
e
I
n
ta
ke
clas
s
.
T
h
e
f
o
o
d
also
w
ill
h
a
v
e
d
i
f
f
er
en
t
p
u
r
p
o
s
e
th
at
ca
n
b
e
v
is
u
alize
d
.
Fo
r
ex
a
m
p
le,
it
ca
n
b
e
u
s
ed
f
o
r
d
is
h
.
An
d
th
e
f
o
o
d
also
h
as
s
o
m
e
p
r
ep
ar
atio
n
m
et
h
o
d
ac
co
r
d
in
g
to
d
is
h
an
d
it
s
r
ec
ip
es.
T
h
e
ex
a
m
p
le
o
f
o
n
to
g
r
ap
h
f
o
r
P
u
r
p
o
s
e
class
is
s
h
o
w
i
n
Fi
g
u
r
e
3
.
Fig
u
r
e
3
.
On
to
g
r
ap
h
o
f
P
u
r
p
o
s
e
class
i
n
MC
D
On
to
lo
g
y
Mo
d
el
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
On
to
lo
g
y
mo
d
el
f
o
r
in
ta
ke
s
u
g
g
esti
o
n
a
n
d
p
r
ep
a
r
a
tio
n
fo
r
Ma
la
y
co
n
fin
eme
n
t d
ieta
r
y
r
ec
ip
es
(
M.
Ha
mi
z
)
485
Nex
t,
P
r
ep
ar
atio
n
class
co
n
tai
n
s
s
ix
s
u
b
class
e
s
w
h
ic
h
ar
e
C
o
o
k_
a
n
d
_
Dra
in
,
Dry
,
R
eh
ea
t
,
R
a
w
,
C
o
o
k
an
d
F
r
ee
z
e
.
Me
an
w
h
ile,
C
o
o
k
h
as
f
u
r
t
h
er
in
s
ta
n
ce
s
w
h
i
ch
ar
e
S
tea
min
g
,
Gri
llin
g
,
F
r
yin
g
,
B
o
ilin
g
an
d
Micr
o
w
a
vin
g
.
T
h
ese
d
ata
w
er
e
r
etr
iev
ed
f
r
o
m
a
w
eb
p
ag
e
th
at
tal
k
s
ab
o
u
t
th
e
n
u
tr
ie
n
t
l
o
s
s
in
ea
c
h
o
f
th
e
p
r
ep
ar
atio
n
m
eth
o
d
o
f
f
o
o
d
[
2
0
]
.
On
ce
all
t
h
e
cla
s
s
es
ar
e
cr
ea
ted
,
th
ese
cla
s
s
e
s
ar
e
co
n
n
ec
ted
u
s
i
n
g
o
b
j
ec
t
p
r
o
p
er
ties
b
ased
o
n
t
h
eir
r
ela
tio
n
s
h
ip
s
w
it
h
ea
c
h
cla
s
s
.
T
h
e
o
n
to
lo
g
y
m
o
d
el
o
f
i
n
ta
k
e
an
d
p
r
ep
ar
atio
n
o
f
MCD
co
n
s
i
s
ts
o
f
f
o
u
r
(
4
)
o
b
ject
p
r
o
p
er
ties
w
h
ic
h
ar
e
;
h
a
s
I
n
ta
ke
Time
,
h
a
s
P
u
r
p
o
s
e
,
h
a
s
P
r
ep
a
r
a
tio
n
Meth
o
d
an
d
h
a
s
I
n
g
r
ed
ien
ts
.
Me
an
w
h
ile
t
h
e
r
estrictio
n
f
o
r
ea
ch
o
f
t
h
e
o
b
j
ec
t
p
r
o
p
e
r
ties
is
s
o
m
e.
T
h
e
w
o
r
d
„
s
o
me’
in
t
h
e
co
n
te
x
t
o
f
o
n
to
lo
g
y
d
e
v
elo
p
m
e
n
t
r
ep
r
esen
ts
t
h
e
m
u
l
tip
le
r
elatio
n
s
h
ip
b
et
w
ee
n
t
h
e
clas
s
es.
T
h
i
s
m
ea
n
s
th
at
a
cla
s
s
m
a
y
h
a
v
e
o
n
e
o
r
m
o
r
e
r
elatio
n
s
h
ip
w
i
th
a
n
o
t
h
er
class
.
„
S
o
me
’
is
u
s
ed
f
o
r
ea
ch
o
f
t
h
e
o
b
j
ec
t p
r
o
p
er
ties
as e
ac
h
class
es
h
a
v
e
o
n
e
m
o
r
e
r
elatio
n
s
h
ip
w
it
h
an
o
t
h
er
class
e
s
.
B
ased
o
n
Fig
u
r
e
4
,
t
h
is
o
b
j
ec
t
p
r
o
p
er
ty
o
f
h
a
s
I
n
ta
ke
Time
h
as
Dis
h
,
F
o
o
d
an
d
Herb
s
as
its
d
o
m
ai
n
an
d
I
n
ta
ke
as
its
r
an
g
e.
B
y
a
p
p
ly
i
n
g
t
h
e
r
e
s
tr
ictio
n
o
f
„
s
o
m
e
‟
to
t
h
i
s
o
b
j
ec
t
p
r
o
p
er
ty
,
it
ex
p
lai
n
s
t
h
at
Di
s
h
,
F
o
o
d
an
d
Herb
s
m
a
y
h
a
v
e
o
n
e
o
r
m
o
r
e
I
n
ta
ke
.
Fig
u
r
e
4
.
h
a
s
I
n
ta
ke
Time
o
b
j
ec
t p
r
o
p
e
r
ty
i
n
M
C
D
On
to
lo
g
y
Mo
d
el
4
.
1
.
Cla
s
s
es a
nd
O
bje
ct
P
ro
pert
ies
Rela
t
io
ns
hi
p
T
ec
h
n
icall
y
,
all
t
h
e
n
e
w
cla
s
s
es
an
d
o
b
j
ec
t
p
r
o
p
er
ties
m
u
s
t
b
e
co
n
n
ec
ted
to
ea
ch
o
th
er
to
h
av
e
a
co
n
n
ec
tio
n
w
h
ic
h
w
e
ca
lled
as
o
n
to
lo
g
y
.
Fo
r
e
x
a
m
p
le,
a
d
is
h
t
y
p
e
ca
n
b
e
tak
e
n
d
u
r
in
g
w
h
at
ti
m
e
o
f
t
h
e
s
u
g
g
e
s
ted
3
m
ea
ls
a
d
a
y
a
s
in
Fig
u
r
e
5
.
Fig
u
r
e
5
.
Dis
h
a
n
d
I
n
tak
e
cla
s
s
es a
r
e
co
n
n
ec
ted
t
h
r
o
u
g
h
o
b
ject
p
r
o
p
e
r
ties
Fro
m
th
e
e
x
a
m
p
le,
t
h
e
r
elatio
n
s
h
ip
b
et
w
ee
n
a
d
is
h
an
d
an
i
n
tak
e
t
i
m
e
w
h
ic
h
ex
p
lai
n
s
th
a
t
th
e
d
is
h
Go
r
en
g
La
d
a
Hita
m
is
t
h
e
d
o
m
ai
n
h
as
d
i
n
n
er
o
r
lu
n
ch
as
it
s
i
n
tak
e
ti
m
e
(
r
an
g
e)
.
Sa
m
e
m
eth
o
d
ap
p
lies
to
t
h
e
o
th
er
f
o
u
r
o
b
j
ec
t p
r
o
p
er
ties
as sh
o
w
n
b
elo
w
i
n
Fi
g
u
r
e
6
.
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
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g
&
C
o
m
p
Sci,
Vo
l.
1
7
,
No
.
1
,
J
an
u
ar
y
20
20
:
48
1
-
488
486
Fig
u
r
e
6
.
Go
r
en
g
La
d
a
Hita
m
d
is
h
h
a
s
co
m
b
i
n
atio
n
o
f
allo
wed
f
o
o
d
in
MCD
I
n
o
r
d
er
to
m
a
k
e
a
Go
r
en
g
La
d
a
Hita
m
d
is
h
,
th
e
allo
w
ed
f
o
o
d
s
f
r
o
m
MCD
o
n
to
lo
g
y
m
o
d
el
is
u
s
ed
,
w
h
ic
h
s
h
o
w
s
a
n
d
in
te
g
r
ated
m
o
d
el
w
it
h
t
h
e
n
e
w
clas
s
es
ad
d
ed
.
Fo
r
o
v
er
all
o
n
to
lo
g
y
m
o
d
el
o
f
t
h
e
n
e
w
class
es,
t
h
e
t
y
p
e
o
f
f
o
o
d
th
at
w
il
l
b
e
u
s
ed
as
an
ex
a
m
p
le
f
o
r
th
e
r
ep
r
esen
tatio
n
o
f
th
e
I
n
t
ak
e
Su
g
g
esti
o
n
an
d
P
r
ep
ar
atio
n
o
f
M
C
D
R
ec
ip
es
o
n
to
lo
g
y
m
o
d
el
is
B
ee
f
.
T
h
e
ex
a
m
p
le
b
elo
w
s
h
o
w
s
t
h
e
r
elatio
n
s
h
ip
o
f
B
ee
f
w
h
ic
h
an
allo
w
ed
f
o
o
d
f
o
r
m
o
th
er
s
to
co
n
s
u
m
e
w
it
h
o
th
er
al
lo
w
ed
f
o
o
d
s
an
d
h
er
b
s
.
Fig
u
r
e
7
s
h
o
w
s
t
h
e
B
ee
f
r
elat
io
n
s
h
ip
w
it
h
th
e
th
r
ee
n
e
w
cl
ass
es
ad
d
ed
.
I
n
th
e
A
r
c
T
y
p
e
s
,
it
s
h
o
w
s
th
e
co
lo
u
r
f
o
r
ea
ch
o
b
j
ec
t
p
r
o
p
er
ties
to
m
a
k
e
u
s
er
ea
s
ier
to
s
ee
d
if
f
er
e
n
t
k
in
d
o
f
r
elati
o
n
s
h
ip
s
.
Fro
m
t
h
e
o
n
to
lo
g
y
m
o
d
e
l
its
e
lf
,
w
e
ca
n
s
ee
t
h
at
B
ee
f
h
a
s
P
r
ep
a
r
a
tio
n
Meth
o
d
o
f
F
r
yin
g
w
h
ic
h
h
as
a
r
ec
ip
e
o
f
th
a
t
r
elate
s
to
h
a
s
P
u
r
p
o
s
e
o
b
j
ec
t
p
r
o
p
er
ty
th
at
in
c
lu
d
es
Go
r
en
g
La
d
a
Hita
m
r
ec
ip
e.
T
h
is
r
ec
ip
e
h
a
s
I
n
g
r
ed
ien
ts
w
h
ic
h
in
cl
u
d
es
B
la
ck
P
ep
p
er
an
d
Gin
g
er
w
h
ic
h
ar
e
also
th
e
allo
w
ed
f
o
o
d
s
in
MCD.
T
h
is
Go
r
en
g
La
d
a
Hita
m
B
ee
f
h
a
s
I
n
ta
ke
Time
at
Din
n
er
o
r
Lu
n
ch
d
ep
en
d
s
o
n
th
e
m
o
t
h
er
s
‟
p
r
ef
er
en
ce
.
He
n
c
e,
f
r
o
m
th
e
al
lo
w
ed
f
o
o
d
o
f
p
r
ev
io
u
s
MCD
o
n
to
lo
g
y
m
o
d
el,
it
ca
n
b
e
in
te
g
r
ated
to
g
et
w
h
at
is
t
h
e
s
u
g
g
ested
i
n
tak
e
ti
m
e
to
g
et
h
er
w
it
h
t
h
e
p
r
ep
ar
atio
n
m
et
h
o
d
s
an
d
r
ec
ip
e
f
o
r
m
o
t
h
er
s
i
n
co
n
f
in
e
m
en
t.
Fig
u
r
e
7
.
Ov
er
all
o
n
to
lo
g
y
f
r
a
m
e
w
o
r
k
f
o
r
B
ee
f
4.
3.
T
esting
o
f
t
he
O
nto
lo
g
y
T
o
test
w
h
et
h
er
th
e
o
n
to
lo
g
y
ca
n
r
etr
iev
e
t
h
e
co
r
r
ec
t
in
f
o
r
m
atio
n
o
r
n
o
t
ac
co
r
d
in
g
to
wh
a
t
w
e
h
a
v
e
b
ee
n
v
is
u
alize
d
,
SP
A
R
Q
L
q
u
er
y
is
u
s
ed
to
b
e
e
x
ec
u
ted
in
s
id
e
th
e
o
n
to
lo
g
y
m
o
d
el.
F
r
o
m
Fi
g
u
r
e
8
,
t
h
e
SP
A
R
Q
L
q
u
er
y
t
h
at
is
ex
ec
u
t
ed
is
to
f
in
d
,
if
Go
r
en
g
La
d
a
Hita
m
d
is
h
is
ab
o
u
t
to
b
e
p
r
e
p
ar
ed
,
w
h
a
t
ar
e
th
e
allo
w
ed
f
o
o
d
s
in
s
id
e
MCD
o
n
to
lo
g
y
m
o
d
el
t
h
at
ca
n
b
e
u
s
ed
as
its
in
g
r
ed
ien
ts
w
h
ic
h
h
as
b
ee
n
id
en
ti
f
ied
th
r
o
u
g
h
h
a
s
I
n
g
r
ed
ien
ts
o
b
j
ec
t
p
r
o
p
er
ty
.
B
ased
o
n
th
e
r
es
u
lt,
it
g
a
v
e
t
h
e
co
r
r
ec
t
in
f
o
r
m
atio
n
as
w
h
at
i
s
n
ee
d
ed
if
t
h
e
d
i
s
h
is
ab
o
u
t
to
b
e
p
r
ep
ar
ed
.
Hen
ce
,
w
e
ca
n
v
er
i
f
y
h
er
e
th
at
a
ll
t
h
e
n
e
w
c
las
s
e
s
a
n
d
o
b
j
ec
t
p
r
o
p
er
ties
th
at
w
er
e
ad
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p
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r
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n
t M
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el.
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
On
to
lo
g
y
mo
d
el
f
o
r
in
ta
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s
u
g
g
esti
o
n
a
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d
p
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a
r
a
tio
n
fo
r
Ma
la
y
co
n
fin
eme
n
t d
ieta
r
y
r
ec
ip
es
(
M.
Ha
mi
z
)
487
Fig
u
r
e
8
.
SP
A
R
Q
L
q
u
er
y
o
f
G
o
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en
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La
d
a
Hita
m
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t p
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o
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t
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5.
CO
NCLU
SI
O
N
T
h
is
p
ap
er
p
r
esen
ts
th
e
o
n
to
l
o
g
y
m
o
d
el
MCD
r
ec
ip
es
w
h
i
ch
in
cl
u
d
e
th
e
in
ta
k
e
s
u
g
g
es
ti
o
n
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d
its
p
r
ep
ar
atio
n
.
MCD
is
a
tr
ad
itio
n
w
h
ic
h
i
s
s
till
b
ei
n
g
e
x
p
er
ien
ce
d
u
p
u
n
til
n
o
w
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y
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la
y
s
o
ciet
y
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n
Ma
la
y
s
ia.
No
r
m
a
ll
y
,
m
o
s
t
o
f
th
e
k
n
o
w
l
ed
g
e
r
eg
ar
d
in
g
MC
D
ar
e
tacit
an
d
o
n
l
y
k
n
o
w
n
b
y
e
x
p
er
tis
e
o
n
l
y
.
P
r
ev
io
u
s
l
y
,
s
o
m
e
w
o
r
k
s
h
ad
b
ee
n
d
o
n
e
i
n
o
r
d
er
to
m
o
d
el
t
h
e
tac
it
k
n
o
w
led
g
e
w
h
ic
h
i
s
r
e
s
u
l
ted
to
c
o
n
s
tr
u
ct
io
n
o
f
M
C
D
o
n
to
lo
g
y
m
o
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el.
I
n
th
e
cu
r
r
en
t
m
o
d
el,
it
tack
les
w
h
at
ar
e
th
e
allo
w
ed
an
d
n
o
n
-
allo
w
ed
f
o
o
d
s
,
w
h
at
k
i
n
d
o
f
n
u
tr
ie
n
t
s
th
o
s
e
f
o
o
d
ca
n
en
h
a
n
ce
in
t
h
e
m
o
t
h
er
s
‟
b
o
d
y
a
n
d
its
p
h
y
to
ch
e
m
ical
b
en
e
f
it
s
in
allo
w
ed
f
r
u
its
a
n
d
v
eg
etab
le
s
.
C
u
r
r
en
tl
y
,
t
h
e
m
o
d
el
d
o
es
n
o
t
co
v
er
o
n
th
e
in
ta
k
e
s
u
g
g
es
tio
n
a
n
d
w
h
at
k
in
d
o
f
p
r
ep
ar
atio
n
m
et
h
o
d
s
ca
n
b
e
d
o
n
e
to
th
e
f
o
o
d
s
o
th
at
it
w
ill
b
ec
o
m
e
a
t
ast
y
d
is
h
to
m
o
th
er
s
in
co
n
f
i
n
e
m
en
t
to
co
n
s
u
m
e.
T
h
e
in
tak
e
o
f
MCD
co
v
er
s
t
h
e
co
r
r
ec
t
tim
e
f
o
r
m
o
t
h
er
s
i
n
co
n
f
i
n
e
m
e
n
t
to
co
n
s
u
m
e
th
eir
f
o
o
d
w
h
ile
th
e
p
r
ep
ar
atio
n
o
f
MCD
co
v
er
s
t
h
e
co
r
r
ec
t
w
a
y
to
p
r
ep
ar
e
th
e
d
is
h
o
f
co
n
f
i
n
e
m
e
n
t
f
o
o
d
.
Nev
er
th
e
less
,
t
h
e
s
e
in
ta
k
e
an
d
p
r
e
p
ar
atio
n
k
n
o
w
l
ed
g
e
w
i
ll
lead
to
ex
tin
ctio
n
if
it
is
n
o
t
b
ein
g
p
r
eser
v
ed
as
t
h
e
k
n
o
w
led
g
e
ca
n
o
n
l
y
b
e
f
etch
ed
f
r
o
m
t
h
e
taci
t
k
n
o
w
led
g
e
o
f
Ma
la
y
tr
ad
itio
n
al
m
id
w
i
v
es.
T
h
is
is
w
h
er
e
th
e
u
s
e
o
f
k
n
o
w
led
g
e
m
o
d
ell
in
g
,
to
b
e
ex
ac
t,
a
r
e
p
r
esen
tatio
n
o
f
o
n
to
lo
g
y
m
o
d
el
is
b
ei
n
g
u
s
ed
.
An
o
n
to
lo
g
y
m
o
d
el
ca
n
h
e
lp
p
r
ev
en
t
t
h
e
ex
ti
n
ctio
n
o
f
k
n
o
w
led
g
e
o
f
t
h
e
in
ta
k
e
a
n
d
p
r
ep
ar
atio
n
o
f
MCD
as
t
h
e
k
n
o
w
led
g
e
is
co
llected
,
o
r
g
an
ized
an
d
au
t
h
o
r
ized
.
B
ef
o
r
e
co
n
s
tr
u
cti
n
g
t
h
e
o
n
to
l
o
g
y
m
o
d
el,
th
e
d
ata
co
llectio
n
an
d
an
al
y
s
is
is
d
o
n
e
to
g
et
th
e
v
alu
ab
le
k
n
o
w
led
g
e
f
r
o
m
t
h
e
m
id
w
iv
es.
T
h
en
,
th
e
o
n
to
lo
g
y
m
o
d
e
l
w
a
s
d
esig
n
ed
w
ith
t
h
e
g
u
id
elin
es
o
f
On
to
lo
g
y
Dev
elo
p
m
e
n
t
1
0
1
.
T
h
e
MCD
o
n
to
lo
g
y
m
o
d
el
w
er
e
r
e
u
s
e
w
it
h
th
e
ad
d
itio
n
o
f
t
h
r
ee
n
e
w
clas
s
es
w
h
ic
h
ar
e
I
n
ta
ke
,
P
u
r
p
o
s
e
an
d
P
r
ep
a
r
a
tio
n
.
E
ac
h
class
h
a
s
i
ts
o
w
n
s
u
b
class
e
s
w
h
ic
h
lead
s
to
h
ier
ar
ch
ical
ta
x
o
n
o
m
y
.
B
esid
es
th
at,
f
o
u
r
d
if
f
er
en
t
o
b
j
ec
t
p
r
o
p
e
r
ties
s
u
ch
as
h
a
s
I
n
ta
ke
Time
,
h
a
s
P
u
r
p
o
s
e
,
h
a
s
P
r
ep
a
r
a
tio
n
Meth
o
d
an
d
h
a
s
I
n
g
r
ed
ien
ts
w
er
e
ad
d
ed
to
g
i
v
e
as
s
o
ciatio
n
s
b
et
w
ee
n
o
l
d
class
es
an
d
n
e
w
cla
s
s
e
s
t
h
a
t
w
er
e
ad
d
ed
in
t
h
e
cu
r
r
en
t
o
n
to
lo
g
y
m
o
d
el.
I
n
t
h
e
en
d
,
SP
AR
Q
L
q
u
er
y
is
u
s
ed
to
test
w
h
e
th
er
t
h
e
e
x
ten
d
ed
n
ew
o
n
to
lo
g
y
m
o
d
e
l
co
u
ld
r
etr
iev
e
th
e
co
r
r
ec
t
in
f
o
r
m
at
io
n
o
r
n
o
t.
B
ased
o
n
o
u
r
n
e
w
ad
d
ed
d
ata,
th
e
co
r
r
ec
t
in
f
o
r
m
atio
n
i
s
r
etr
iev
ed
o
n
ce
th
e
q
u
er
y
i
s
ex
ec
u
ted
.
Hen
ce
,
w
e
ca
n
co
n
cl
u
d
e
th
at
all
t
h
e
n
e
w
clas
s
es
a
n
d
o
b
j
ec
t
p
r
o
p
er
ties
th
at
w
er
e
ad
d
ed
co
u
ld
g
iv
e
s
i
g
n
i
f
ican
t v
al
u
e
to
th
e
c
u
r
r
en
t M
C
D
o
n
to
lo
g
y
m
o
d
el.
Fo
r
f
u
t
u
r
e
w
o
r
k
,
t
h
e
p
r
ep
ar
atio
n
o
f
t
h
e
d
is
h
s
h
o
u
ld
b
e
e
x
p
lain
ed
m
o
r
e
esp
ec
iall
y
t
h
e
e
x
ac
t
a
m
o
u
n
t o
f
n
u
tr
ie
n
t
i
n
t
h
e
d
is
h
a
n
d
h
o
w
m
u
c
h
n
u
tr
ien
t
w
ill
lo
s
t
i
f
t
h
e
f
o
o
d
is
p
r
ep
ar
ed
in
d
if
f
er
e
n
t
p
r
ep
ar
atio
n
m
et
h
o
d
s
.
I
n
co
n
clu
s
io
n
,
th
is
o
n
to
lo
g
y
m
o
d
el
ca
n
b
e
u
s
ed
to
p
r
eser
v
e
th
e
tacit
k
n
o
w
led
g
e
esp
ec
iall
y
.
I
t
m
i
g
h
t
b
e
v
alu
ab
le
a
n
d
u
s
ef
u
l
f
o
r
th
e
f
u
t
u
r
e
g
e
n
er
atio
n
s
to
lear
n
o
n
t
h
e
p
r
ev
io
u
s
g
e
n
er
atio
n
‟
s
p
r
ac
tice
r
eg
ar
d
in
g
M
C
D
i
f
th
e
m
o
d
el
is
k
ee
p
u
p
d
ated
.
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.
1
7
,
No
.
1
,
J
an
u
ar
y
20
20
:
48
1
-
488
488
ACK
NO
WL
E
D
G
E
M
E
NT
S
T
h
e
au
th
o
r
s
ar
e
t
h
an
k
f
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l
f
o
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th
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s
u
p
p
o
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t
g
i
v
en
b
y
U
n
iv
er
s
iti
T
ek
n
o
lo
g
i
M
AR
A
f
o
r
th
is
w
o
r
k
f
i
n
an
cia
ll
y
.
RE
F
E
R
E
NC
E
S
[1
]
F
o
k
,
D.,
A
ris,
I.
M
.
,
Ho
,
J.,
L
im
,
S
.
B.
,
C
h
u
a
,
M
.
C
.
,
P
a
n
g
,
W
.
W
.
“
A
c
o
m
p
a
riso
n
o
f
p
ra
c
ti
c
e
s
d
u
rin
g
th
e
c
o
n
f
in
e
m
e
n
t
p
e
rio
d
a
m
o
n
g
Ch
in
e
se
,
M
a
la
y
,
a
n
d
In
d
ian
m
o
th
e
rs i
n
S
in
g
a
p
o
re
.
”
Bi
rt
h
,
4
3
(
3
),
2
4
7
–
2
5
4
,
2
0
1
6
[2
]
S
e
rb
e
sa
M
L
,
I
ff
a
M
T
.
“
Kn
o
w
led
g
e
,
a
tt
it
u
d
e
a
n
d
p
r
a
c
ti
c
e
o
n
p
re
v
e
n
ti
o
n
o
f
iro
n
d
e
f
icie
n
c
y
a
n
e
m
i
a
a
m
o
n
g
p
re
g
n
a
n
t
w
o
m
e
n
a
tt
e
n
d
in
g
a
n
te
–
n
a
tal
c
a
re
u
n
it
a
t
p
u
b
li
c
h
o
sp
i
tals
o
f
Ha
r
a
r
T
o
w
n
,
Eas
tern
Et
h
io
p
ia:
in
sti
tu
ti
o
n
a
l
b
a
se
d
c
ro
ss
-
se
c
ti
o
n
a
l
stu
d
y
.
”
In
t
J
Pre
g
n
&
C
h
i
Bi
rt
h
.
2
0
1
9
;
5
(2
)
:4
8
‒
5
5
.
DO
I:
1
0
.
1
5
4
0
6
/
ip
c
b
.
2
0
1
9
.
0
5
.
0
0
1
4
6
[3
]
Ha
ro
n
,
Ha
ry
a
n
i
&
Ha
m
i
z
,
M
.
.
“
A
n
On
to
lo
g
ica
l
F
ra
m
e
w
o
rk
to
P
re
se
rv
e
M
a
la
y
In
d
ig
e
n
o
u
s
He
a
lt
h
Kn
o
w
led
g
e
.
”
Ad
v
a
n
c
e
d
S
c
ien
c
e
L
e
tt
e
rs
.
2
0
.
2
2
6
-
2
3
0
,
2
0
1
4
.
[4
]
M
Ha
m
iz,
Ha
r
y
a
n
i
Ha
ro
n
,
A
z
li
n
S
a
n
u
si,
M
Ba
k
ri,
Nu
r
S
y
a
m
ira
M
o
h
d
Na
z
a
ru
d
d
i
n
.
“
S
e
m
a
n
ti
c
W
e
b
Re
p
r
e
se
n
tatio
n
f
o
r
P
h
y
to
c
h
e
m
ica
l
On
to
lo
g
y
M
o
d
e
l
”
.
J
o
u
rn
a
l
o
f
T
e
lec
o
mm
u
n
ica
ti
o
n
,
El
e
c
tro
n
ic a
n
d
Co
mp
u
ter
En
g
i
n
e
e
rin
g
(
J
T
EC).
1
0
1
-
5
.
1
8
3
-
1
8
6
.
2
0
1
8
.
[5
]
L
i
y
a
n
a
L
a
z
i
m
,
Nu
r
&
Ha
m
iz,
M
&
Ha
ro
n
,
Ha
ry
a
n
i
&
Ba
k
ri,
M
o
h
a
m
m
a
d
.
“
In
ta
k
e
a
n
d
Pre
p
a
ra
ti
o
n
o
f
M
a
la
y
Co
n
fi
n
e
me
n
t
Die
ta
ry
On
to
l
o
g
y
Fr
a
me
wo
rk
”
.
In
ter
n
a
ti
o
n
a
l
V
isu
a
l
I
n
f
o
rm
a
ti
c
s Co
n
f
e
re
n
c
e
62
-
7
0
.
2
0
1
7
[6
]
Din
,
C.
N.
A
.
N.
Ko
m
p
il
a
si
Hid
a
n
g
a
n
Be
rp
a
n
tan
g
:
A
laf
2
1
.
Re
tri
e
v
e
d
f
ro
m
h
tt
p
s:/
/b
o
o
k
s.g
o
o
g
le.co
m
.
m
y
/b
o
o
k
s?
id
=
U7
W
c
DQ
AA
QB
AJ
,
2
0
1
0
[7
]
A
ru
k
in
,
S
.
M
.
M
e
n
u
Ib
u
&
A
n
a
k
(Hid
a
n
g
a
n
Ib
u
Be
rp
a
n
ta
n
g
&
S
e
lera
S
i
M
a
n
ja):
A
laf
2
1
@
G
ru
p
Bu
k
u
Ka
ra
n
g
k
ra
f
.
Re
tri
e
v
e
d
f
ro
m
h
tt
p
s://
b
o
o
k
s.g
o
o
g
le.co
m
.
m
y
/b
o
o
k
s?
id
=
ORN
IDQ
AA
QB
A
J.
2
0
1
6
.
[8
]
F
a
d
z
il
,
F
.
,
S
h
a
m
su
d
d
in
,
K.
,
Eza
t,
S
.
,
&
P
u
teh
,
W
.
“
T
ra
d
it
io
n
a
l
P
o
stp
a
rtu
m
P
ra
c
ti
c
e
s
Am
o
n
g
M
a
la
y
sia
n
M
o
t
h
e
rs”
J
Al
ter
n
Co
m
p
lem
e
n
t
M
e
d
.
2
0
1
6
J
u
l;
2
2
(
7
):
5
0
3
-
8
[9
]
M
a
n
a
l
A
b
d
u
ll
a
h
,
M
o
n
irah
A
lm
a
lk
i,
Ha
n
a
a
Blah
m
e
r.
“
E
-
Co
ll
a
b
o
ra
ti
o
n
Kn
o
w
led
g
e
M
a
n
a
g
e
m
e
n
t
”
.
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
A
d
v
a
n
c
e
d
T
re
n
d
s i
n
C
o
mp
u
ter
S
c
ien
c
e
a
n
d
E
n
g
in
e
e
rin
g
,
Vo
lu
m
e
8
,
No
.
1
.
1
,
2
0
1
9
[1
0
]
Ko
e
n
ig
,
M
.
E.
D.
W
h
a
t
is
KM?
Kn
o
w
led
g
e
M
a
n
a
g
e
m
e
n
t
Ex
p
lain
e
d
.
Re
tri
e
v
e
d
f
ro
m
h
tt
p
:
//
ww
w
.
k
m
w
o
rld
.
c
o
m
/
A
rti
c
le
s/Ed
it
o
r
ial/W
h
a
t
-
Is
-
.
.
.
/W
h
a
t
-
is
-
KMKn
o
w
led
g
e
-
M
a
n
a
g
e
m
e
n
t
-
Ex
p
lain
e
d
-
8
2
4
0
5
.
a
sp
x
.
2
0
1
2
.
[1
1
]
S
a
b
ri
S
.
M
.
,
Ha
ro
n
H.,
Ja
m
il
N.
(2
0
1
7
)
“
A
De
sig
n
o
f
a
Rem
in
i
sc
e
n
c
e
S
y
ste
m
fo
r
T
a
c
it
Kn
o
wle
d
g
e
Rec
a
l
l
a
n
d
T
ra
n
sfe
r
.
”
In
:
M
o
h
a
m
e
d
A
.
,
Be
rr
y
M
.
,
Ya
p
B.
(e
d
s)
S
o
f
t
Co
m
p
u
ti
n
g
in
Da
ta
S
c
ien
c
e
.
S
CDS
2
0
1
7
.
Co
m
m
u
n
ica
ti
o
n
s
in
Co
m
p
u
ter an
d
I
n
f
o
rm
a
ti
o
n
S
c
ien
c
e
,
v
o
l
7
8
8
.
S
p
ri
n
g
e
r,
S
i
n
g
a
p
o
r
e
.
[1
2
]
Co
rc
h
o
,
Os
c
a
r
&
F
e
rn
á
n
d
e
z
-
L
ó
p
e
z
,
M
a
rian
o
&
G
o
m
e
z
-
P
e
re
z
,
A
s
u
n
c
io
n
.
(2
0
0
7
).
“
O
n
to
l
o
g
ica
l
En
g
in
e
e
rin
g
:
W
h
a
t
a
re
On
to
lo
g
ies
a
n
d
Ho
w
C
a
n
W
e
Bu
il
d
T
h
e
m?
”
.
S
e
m
a
n
ti
c
W
e
b
S
e
rv
ice
s:
T
h
e
o
ry
,
T
o
o
ls
a
n
d
A
p
p
l
ica
ti
o
n
s.
1
0
.
4
0
1
8
/
9
7
8
-
1
-
5
9
9
0
4
-
0
4
5
-
5
.
c
h
0
0
3
.
[1
3
]
G
ru
b
e
r,
T
.
R.
,
&
o
th
e
rs.
“
A
tran
s
latio
n
a
p
p
ro
a
c
h
to
p
o
rtab
le
o
n
t
o
l
o
g
y
sp
e
c
i
f
ica
ti
o
n
s
”
.
Kn
o
wle
d
g
e
Acq
u
isit
i
o
n
,
5
(2
)
,
199
–
2
2
0
.
1
9
9
3
[1
4
]
S
tu
d
e
r,
R.
,
Be
n
jam
in
s,
V.
R.
,
&
F
e
n
se
l,
D.
“
Kn
o
w
led
g
e
e
n
g
in
e
e
rin
g
:
p
ri
n
c
ip
les
a
n
d
m
e
th
o
d
s
”
.
Da
t
a
&
Kn
o
wled
g
e
En
g
i
n
e
e
rin
g
,
2
5
(1
–
2
),
1
6
1
–
1
9
7
.
1
9
9
8
[1
5
]
Ch
a
n
d
ra
se
k
a
ra
n
,
B.
,
Jo
se
p
h
so
n
,
J
.
R.
,
&
Be
n
jam
in
s,
V
.
R.
“
W
h
a
t
a
re
o
n
to
l
o
g
ies
,
a
n
d
w
h
y
d
o
w
e
n
e
e
d
th
e
m
?
”
IEE
E
In
telli
g
e
n
t
S
y
ste
ms
a
n
d
T
h
e
ir
A
p
p
li
c
a
ti
o
n
s
,
1
4
(
1
),
2
0
–
2
6
.
1
9
9
9
.
[1
6
]
S
y
e
rin
a
Az
li
n
M
d
Na
sir,
No
r
L
a
il
a
M
d
No
o
r,
“
A
P
ra
c
ti
c
a
l
A
p
p
ro
a
c
h
f
o
r
On
to
lo
g
y
Co
n
stru
c
ti
o
n
th
ro
u
g
h
M
a
p
p
i
n
g
P
r
o
c
e
ss
”
,
Kn
o
wled
g
e
M
a
n
a
g
e
me
n
t
In
ter
n
a
ti
o
n
a
l
C
o
n
f
e
re
n
c
e
(
KM
I
Ce
2
0
1
4
)
,
2
7
9
-
2
8
4
,
2
0
1
4
.
[1
7
]
L
o
rd
,
P
.
C
o
m
p
o
n
e
n
ts
o
f
a
n
On
t
o
l
o
g
y
.
On
to
g
e
n
e
sis.
Re
tri
e
v
e
d
f
ro
m
h
tt
p
:/
/
o
n
t
o
g
e
n
e
sis.k
n
o
w
led
g
e
b
lo
g
.
o
rg
/5
1
4
.
2
0
1
0
.
[1
8
]
G
u
n
a
w
a
n
,
Rid
o
w
a
ti
&
M
u
sto
fa
,
Kh
a
b
ib
.
“
F
i
n
d
i
n
g
Kn
o
w
led
g
e
f
ro
m
In
d
o
n
e
sia
n
T
ra
d
it
io
n
a
l
M
e
d
icin
e
u
sin
g
S
e
m
a
n
ti
c
W
e
b
Ru
le
L
a
n
g
u
a
g
e
”
.
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
El
e
c
tric
a
l
a
n
d
Co
mp
u
ter
En
g
i
n
e
e
rin
g
(
IJ
ECE
)
.
7
.
3
6
7
4
-
3
6
8
2
.
2
0
1
7
.
[1
9
]
S
u
w
a
n
T
o
n
g
p
h
u
,
B
o
o
n
taw
e
e
S
u
n
ti
sriv
a
ra
p
o
rn
,
P
a
k
in
e
e
A
i
m
m
a
n
e
e
,
“
T
o
w
a
rd
S
e
m
a
n
ti
c
S
im
il
a
rit
y
M
e
a
su
re
Be
t
w
e
e
n
Co
n
c
e
p
ts
i
n
a
n
On
t
o
lo
g
y
,
”
In
d
o
n
e
sia
n
J
o
u
rn
a
l
o
f
El
e
c
trica
l
En
g
in
e
e
rin
g
a
n
d
C
o
mp
u
ter
S
c
ien
c
e
(
IJ
EE
CS
).
Vo
l.
1
4
,
No
.
3
,
2
0
1
9
[2
0
]
S
h
a
h
a
ru
d
in
,
A
h
m
a
d
&
A
b
d
u
l
L
a
ti
ff
,
A
h
m
a
d
&
Ha
ro
n
,
Ha
ry
a
n
i
&
A
n
n
a
m
a
lai,
“
M
u
th
u
k
k
a
ru
p
p
a
n
.
S
o
f
tw
a
r
e
En
g
in
e
e
rin
g
A
p
p
ro
a
c
h
F
o
r
D
o
m
a
in
On
t
o
l
o
g
y
De
v
e
lo
p
m
e
n
t:
A
Ca
s
e
S
tu
d
y
Of
Isla
m
ic
Ba
n
k
in
g
P
ro
d
u
c
t.
”
J
o
u
r
n
a
l
o
f
In
fo
rm
a
t
io
n
Retrie
v
a
l
a
n
d
Kn
o
wl
e
d
g
e
M
a
n
a
g
e
me
n
t
.
3
.
3
6
-
5
3
.
2
0
1
7
.
[2
1
]
S
to
ra
g
e
.
Re
tri
e
v
e
d
Oc
to
b
e
r
1
7
,
2
0
1
7
,
f
ro
m
h
tt
p
s://
w
ww
.
b
rit
a
n
n
ica
.
c
o
m
/t
e
c
h
n
o
lo
g
y
/sto
ra
g
e
-
g
o
o
d
s.
1
9
9
8
.
[2
2
]
Yu
a
n
,
G
.
,
S
u
n
,
B.
,
Y
u
a
n
,
J.
,
&
W
a
n
g
,
Q.
“
E
ff
e
c
ts
o
f
d
iff
e
r
e
n
t
c
o
o
k
in
g
m
e
th
o
d
s
o
n
h
e
a
lt
h
-
p
r
o
m
o
ti
n
g
c
o
m
p
o
u
n
d
s
o
f
b
ro
c
c
o
li
”
,
J
o
u
r
n
a
l
o
f
Zh
e
ji
a
n
g
Un
iv
e
rsit
y
S
CIENCE
B
1
0
(
8
):5
8
0
-
8
·
S
e
p
tem
b
e
r
2
0
0
9
.
[2
3
]
F
a
z
a
li
n
a
,
C.
Re
sip
i
Ko
n
tem
p
o
ra
ri :
Ib
u
Be
rp
a
n
tan
g
:
P
T
S
M
i
ll
e
n
n
ia.
Re
tri
e
v
e
d
f
ro
m
h
tt
p
s:/
/b
o
o
k
s.g
o
o
g
le.co
m
.
m
y
/b
o
o
k
s?
id
=
b
U6
M
BQA
A
QB
AJ
,
2
0
1
4
.
[2
4
]
No
y
,
N.
F
.
,
&
M
c
G
u
in
n
e
ss
,
D.
L
.
“
On
to
lo
g
y
De
v
e
lo
p
m
e
n
t
1
0
1
:
A
G
u
id
e
to
Cre
a
ti
n
g
Yo
u
r
F
irst
On
t
o
lo
g
y
”
.
S
ta
n
fo
r
d
Kn
o
wled
g
e
S
y
ste
ms
L
a
b
o
r
a
to
ry
,
2
5
.
2
0
0
1
.
[2
5
]
Ro
o
s,
E
.
,
&
P
rä
tt
ä
lä,
R.
“
M
e
a
l
P
a
tt
e
rn
a
n
d
Nu
tri
e
n
t
I
n
tak
e
a
m
o
n
g
A
d
u
lt
F
in
n
s.
”
A
p
p
e
ti
te
,
2
9
(
1
),
1
1
–
2
4
.
1
9
9
7
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