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2.
T
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2
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2
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Sp
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Go
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s
u
r
ed
u
s
i
n
g
t
h
e
g
lo
b
al
p
o
s
itio
n
in
g
s
y
s
te
m
a
n
d
tr
ian
g
u
latio
n
m
et
h
o
d
s
[
4
]
.
I
t
in
d
icate
s
th
e
lo
n
g
it
u
d
e
an
d
latit
u
d
e
o
f
a
m
o
b
ile
o
b
j
ec
t
b
y
an
er
r
o
r
o
f
o
n
ly
a
f
e
w
m
e
ter
s
.
L
o
ca
tio
n
ca
n
al
s
o
b
e
m
ea
s
u
r
e
d
o
r
p
r
ed
icted
im
p
r
ec
is
el
y
u
s
i
n
g
i
n
er
tial
s
e
n
s
o
r
s
,
d
ev
ice
ce
ll
I
D
o
r
W
i
-
Fi
ac
ce
s
s
p
o
in
t
I
D
[
3
]
.
Hete
r
o
g
en
eo
u
s
co
n
tex
t
i
n
f
o
r
m
atio
n
,
s
u
ch
as
en
v
ir
o
n
m
e
n
tal
an
d
u
s
er
'
s
p
h
y
s
io
lo
g
ical
d
ata,
i
s
co
n
s
id
er
ed
as
a
f
o
r
m
o
f
k
n
o
w
led
g
e
w
h
o
s
e
at
tr
ib
u
tes
ca
n
b
e
d
ef
i
n
ed
in
th
e
o
n
to
lo
g
y
.
T
h
er
ef
o
r
e,
r
ea
s
o
n
in
g
an
d
in
f
er
r
i
n
g
ca
n
b
e
ca
r
r
ied
o
u
t o
n
th
e
co
n
tex
t
k
n
o
w
led
g
e
[
3
]
.
2
.
3
.
O
nto
lo
g
y
-
ba
s
ed
m
o
dels
On
to
lo
g
y
-
b
a
s
ed
m
o
d
els
h
av
e
th
e
ad
v
a
n
ta
g
es
o
f
d
escr
ib
i
n
g
h
eter
o
g
en
eo
u
s
e
n
v
ir
o
n
m
e
n
t
s
an
d
th
e
ir
r
elat
io
n
s
h
ip
s
b
ased
o
n
a
h
ier
ar
ch
ical
m
o
d
el
o
f
a
d
o
m
a
in
o
f
k
n
o
w
led
g
e
u
s
i
n
g
g
r
ap
h
ical
s
o
f
t
w
ar
e
p
r
o
g
r
a
m
s
s
u
c
h
as
“
p
r
o
tég
é
[
5
]
”
th
r
o
u
g
h
th
e
OW
L
-
D
L
la
n
g
u
a
g
e.
Ho
w
e
v
er
,
th
e
o
n
to
lo
g
y
m
o
d
el
d
o
es
n
o
t
s
u
p
p
o
r
t
th
e
ti
m
eli
n
e
s
an
d
m
o
b
ilit
y
attr
ib
u
tes
t
h
at
co
r
r
esp
o
n
d
to
t
h
e
a
ny
-
ti
m
e
a
n
y
-
w
h
er
e
a
v
ailab
ilit
y
o
f
a
co
n
te
x
t
-
a
w
ar
e
s
y
s
te
m
[
3
]
.
On
th
e
b
asi
s
o
f
th
e
ab
o
v
e
-
m
e
n
tio
n
ed
p
o
in
ts
,
it
ap
p
ea
r
s
n
ec
ess
ar
y
to
p
r
o
v
id
e
a
h
y
b
r
id
v
er
s
io
n
o
f
s
p
atial
an
d
o
n
to
lo
g
y
m
o
d
els.
On
ce
t
h
e
o
n
to
lo
g
y
a
n
d
s
p
atial
d
ata
ar
e
co
m
b
in
ed
,
ad
v
a
n
ta
g
es
s
u
c
h
a
s
m
o
b
ilit
y
an
d
ti
m
el
in
e
s
s
ar
e
ad
d
ed
to
th
e
o
th
er
ad
v
an
ta
g
es o
f
a
n
o
n
to
l
o
g
y
-
b
ased
m
o
d
el
[
3
]
.
3.
DE
S
I
G
N
AND
I
M
P
L
E
M
E
NT
AT
I
O
N
T
h
is
f
r
am
ew
o
r
k
h
as
th
r
ee
m
o
d
u
les:
Data
co
llectio
n
(
W
B
A
N)
E
x
tr
ac
tio
n
o
f
co
n
tex
t
s
itu
atio
n
s
an
d
cr
ea
tin
g
a
d
y
n
am
ic
o
n
to
lo
g
y
w
ith
th
e
OW
L
lan
g
u
ag
e
Dictio
n
m
ak
in
g
:
R
u
le
p
r
o
g
r
am
m
in
g
an
d
alar
m
m
an
ag
em
en
t
o
n
s
m
ar
t
p
h
o
n
es;
w
e
p
r
o
g
r
am
m
ed
th
is
m
o
d
u
le
w
ith
j
av
a
f
o
r
an
d
r
o
id
o
p
er
atin
g
s
y
s
tem
s
(
s
m
ar
t
p
h
o
n
es).
T
h
e
co
n
ce
p
tu
al
m
o
d
el
o
f
a
co
n
tex
t
-
aw
ar
e
m
o
b
ile
p
atien
t
m
o
n
ito
r
in
g
f
r
am
ew
o
r
k
is
illu
s
tr
ated
in
Fig
u
r
e
1.
Fig
u
r
e
1
.
th
e
co
n
ce
p
tu
al
m
o
d
el
o
f
a
co
n
tex
t
-
a
w
ar
e
m
o
b
ile
p
a
tien
t
m
o
n
ito
r
i
n
g
f
r
a
m
e
w
o
r
k
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
ica
l Mo
b
iHea
lth
S
ystem
(
N
a
s
im
K
h
o
z
o
u
ie)
311
3
.
1
.
Da
t
a
co
llect
io
n
A
b
ac
k
-
e
n
d
s
y
s
te
m
(
B
E
S
y
s
)
a
n
d
b
o
d
y
ar
ea
n
et
w
o
r
k
s
(
B
ANs)
co
m
p
r
i
s
e
a
m
o
b
i
le
p
atien
t
m
o
n
ito
r
i
n
g
s
y
s
te
m
.
E
v
er
y
B
AN
is
c
h
ar
ac
ter
ized
b
y
a
co
n
tr
o
llin
g
e
n
tit
y
,
ca
lled
"
b
ase
s
tati
o
n
"
,
w
h
ic
h
co
llect
s
an
d
p
r
o
ce
s
s
es
i
n
f
o
r
m
atio
n
.
I
n
B
A
N,
t
h
e
s
e
n
s
o
r
s
r
eg
u
lar
l
y
c
o
m
m
u
n
icate
i
n
f
o
r
m
atio
n
to
th
e
b
ase
s
tatio
n
(
i.e
.
,
s
m
ar
t
p
h
o
n
e
s
i
n
t
h
i
s
s
tu
d
y
)
.
T
h
er
ef
o
r
e,
B
A
Ns
h
a
v
e
d
i
f
f
er
en
t
ap
p
licatio
n
s
,
in
cl
u
d
in
g
p
o
s
to
p
er
ativ
e
ca
r
e,
s
p
o
r
ts
h
ea
lt
h
m
a
n
ag
e
m
e
n
t,
an
d
h
o
m
e
-
b
ased
ca
r
e
f
o
r
th
e
eld
er
ly
[
5
]
,
[
6
]
.
I
n
th
is
r
esear
ch
,
th
r
ee
t
y
p
es
o
f
s
en
s
o
r
s
w
er
e
u
s
ed
as
f
o
llo
w
s
:
(
1
)
p
h
y
s
io
lo
g
ical
s
e
n
s
o
r
s
f
o
r
v
ita
l
s
i
g
n
s
,
s
u
ch
as
E
C
G,
P
P
G,
an
d
SP
O2
;
(
2
)
m
o
tio
n
d
etec
ti
o
n
s
en
s
o
r
s
f
o
r
s
itu
at
io
n
s
s
u
c
h
as
ac
ce
ler
o
m
eter
;
(
3
)
en
v
ir
o
n
m
en
tal
s
e
n
s
o
r
s
s
u
ch
as
C
O,
O2
,
tem
p
er
atu
r
e,
an
d
h
u
m
id
it
y
.
L
o
w
-
le
v
el
s
en
s
o
r
d
ata
ar
e
tr
an
s
m
itted
to
a
b
ase
s
tatio
n
(
a
ce
ll
p
h
o
n
e
w
it
h
a
n
an
d
r
o
id
o
p
er
atin
g
s
y
s
te
m
is
u
s
ed
in
t
h
is
p
r
o
j
ec
t)
.
T
h
e
in
iti
al
p
r
o
ce
s
s
in
g
i
s
p
er
f
o
r
m
ed
o
n
t
h
e
b
ase
s
tatio
n
,
an
d
th
e
d
ata
ar
e
tr
an
s
m
itted
to
t
h
e
s
er
v
er
f
o
r
s
to
r
ag
e.
I
n
f
ac
t,
d
ata
m
o
d
el
in
g
is
u
tili
ze
d
o
n
t
h
e
s
er
v
er
f
o
r
b
etter
co
n
tex
t
d
escr
ip
tio
n
,
an
d
co
n
tex
t
r
ea
s
o
n
in
g
is
p
er
f
o
r
m
ed
f
o
r
th
e
ac
tiv
itie
s
o
f
an
i
n
d
i
v
id
u
al
a
n
d
f
o
r
b
ein
g
u
s
ed
i
n
co
n
tex
t
-
a
w
ar
e
ap
p
licatio
n
s
i
n
th
e
b
ase
s
tatio
n
.
3
.
2
.
E
x
t
ra
ct
io
n o
f
co
nte
x
t
s
it
ua
t
io
ns
T
h
e
r
a
w
d
ata
d
ir
ec
tl
y
ac
q
u
ir
ed
f
r
o
m
th
e
s
en
s
o
r
s
ar
e
ch
a
n
g
ed
co
n
tin
u
o
u
s
l
y
.
T
h
is
lead
s
to
li
m
ita
tio
n
s
in
h
u
m
an
i
n
ter
ac
ti
o
n
m
o
d
elin
g
,
co
n
tex
t
r
ea
s
o
n
i
n
g
,
an
d
in
ter
p
r
etatio
n
.
T
h
er
ef
o
r
e,
in
s
tead
o
f
u
s
i
n
g
lo
w
-
le
v
el
d
ata,
p
er
ce
p
tio
n
an
d
s
it
u
atio
n
co
n
ce
p
ts
f
r
o
m
t
h
e
s
e
n
s
o
r
ar
e
u
s
ed
.
T
h
e
ter
m
"
s
itu
atio
n
"
r
ef
er
s
to
a
h
ig
h
er
-
lev
e
l
co
n
ce
p
t
f
o
r
r
ep
r
esen
tat
io
n
o
f
a
s
tate
[
7
]
.
I
t
w
a
s
f
ir
s
t
u
s
ed
i
n
1
9
8
0
in
li
n
g
u
i
s
tic
a
n
d
s
e
m
a
n
tic
s
cien
ce
s
[
7
]
.
Sit
u
atio
n
s
ar
e
th
e
“se
m
an
t
ic
ab
s
tr
ac
tio
n
”
[
7
]
o
f
lo
w
-
le
v
el
d
ata,
h
u
m
a
n
k
n
o
w
led
g
e,
an
d
in
ter
p
r
etatio
n
,
w
h
ich
ar
e
in
teg
r
ated
in
o
n
e
m
o
d
el
an
d
ar
e
lab
eled
u
s
i
n
g
h
u
m
a
n
d
ef
i
n
itio
n
s
.
C
o
n
s
id
er
in
g
t
h
e
le
v
el
o
f
ab
s
tr
ac
tio
n
[
9
]
,
t
h
e
co
n
tex
t
d
ata
ar
e
class
i
f
ied
i
n
to
3
la
y
er
s
:
co
n
tex
t
ato
m
,
s
en
s
o
r
,
an
d
co
n
tex
t
s
it
u
atio
n
l
a
y
er
s
.
T
h
e
co
n
tex
t
ato
m
la
y
er
is
an
ab
s
tr
ac
tio
n
b
et
w
ee
n
s
e
m
an
tic
an
d
p
h
y
s
ical
w
o
r
ld
s
(
f
u
s
i
n
g
co
n
te
x
t
ato
m
s
)
,
th
e
s
en
s
o
r
la
y
er
r
ep
r
esen
ts
a
s
o
u
r
ce
o
f
co
n
tex
t
in
f
o
r
m
at
i
o
n
,
an
d
f
in
all
y
,
th
e
co
n
tex
t
s
it
u
atio
n
la
y
er
d
escr
ib
es c
o
m
p
lex
f
ac
ts
.
(
1
)
Sen
s
o
r
d
ata:
S r
ef
er
s
to
th
e
s
en
s
o
r
la
y
er
o
u
tp
u
t:
(
1
)
w
h
er
e
St,i
r
ef
er
s
to
th
e
o
u
tp
u
t
o
f
s
en
s
o
r
i
at
tim
e
t,
Vt
r
ep
r
esen
ts
th
e
s
en
s
o
r
i
v
alu
e
at
tim
e
t,
an
d
q
i
r
ep
r
esen
ts
its
cr
ed
ib
ilit
y
.
(
2
)
C
o
n
tex
t
ato
m
:
A
d
en
o
tes
th
e
ato
m
s
et:
(
2
)
w
h
er
e
A
t,i
r
ep
r
esen
ts
a
s
em
an
tic
elem
en
t
f
r
o
m
s
en
s
o
r
i
at
tim
e
t,
an
d
Γ
s
h
o
w
s
ass
er
tio
n
b
y
th
e
s
en
s
o
r
in
f
o
r
m
a
tio
n
u
s
in
g
o
n
to
lo
g
y
tech
n
o
lo
g
y
,
n
o
t d
iv
id
ed
in
to
s
m
aller
ass
er
tio
n
s
.
(
3
)
C
o
n
tex
t
s
itu
atio
n
:
C
d
escr
ib
es th
e
s
itu
atio
n
s
et:
(
3
)
A
n
en
tity
'
s
cu
r
r
en
t
s
tate
is
r
ep
r
esen
ted
b
y
a
co
n
tex
t
s
itu
atio
n
.
A
s
itu
atio
n
is
ch
ar
ac
ter
ized
b
y
th
e
s
et
o
f
ato
m
s
(
A
i
co
n
s
titu
tes).
Ser
i r
ef
er
s
to
th
e
s
et
o
f
s
er
v
ices
in
th
is
s
itu
atio
n
(
it
ca
n
b
e
n
u
ll),
an
d
p
i
d
escr
ib
es
th
e
s
itu
atio
n
p
r
io
r
ity
f
o
r
s
af
ety
(
m
o
r
e
th
an
en
ter
tain
m
en
t)
[
5
]
.
T
h
e
ex
ter
n
al
s
em
an
tic
in
ter
p
r
etatio
n
s
o
f
lo
w
-
lev
el
co
n
tex
ts
d
escr
ib
e
s
itu
atio
n
s
.
B
esid
es
ad
d
in
g
m
ea
n
in
g
to
ap
p
licatio
n
s
,
th
ese
s
itu
atio
n
s
ar
e
m
o
r
e
s
tab
le
an
d
s
im
p
ler
to
d
ef
in
e
an
d
s
u
s
tain
in
co
m
p
ar
is
o
n
w
ith
lo
w
-
lev
el
d
ata.
B
y
u
s
in
g
th
ese
s
itu
atio
n
s
,
ap
p
licatio
n
s
ar
e
m
o
r
e
ea
s
ily
im
p
lem
en
ted
an
d
d
esig
n
ed
,
s
in
ce
th
e
p
r
o
g
r
am
m
er
o
r
d
esig
n
er
o
p
er
ates
w
ith
h
ig
h
ab
s
tr
ac
tio
n
o
n
co
n
tex
t
cu
es
cr
ea
tin
g
th
e
s
itu
atio
n
.
I
n
th
is
f
r
am
ew
o
r
k
,
s
itu
atio
n
s
b
ased
o
n
W
B
A
N
d
ata
ar
e
ac
tiv
ity
,
b
lo
o
d
p
r
ess
u
r
e,
b
o
d
y
tem
p
er
atu
r
e,
r
atio
o
f
o
x
y
g
en
in
th
e
b
lo
o
d
(
Sp
O2
)
,
an
d
E
C
G
f
ea
tu
r
es,
w
h
ich
ar
e
ex
tr
ac
ted
f
r
o
m
n
o
r
m
al
s
in
u
s
r
h
y
th
m
f
o
r
a
h
u
m
an
h
ea
r
t,
as
s
ee
n
o
n
E
C
G
(
e.
g
.
,
HR
,
P
,
Q,
R
,
S,
P
-
R
,
QR
S,
S
-
T
,
an
d
QT
)
.
T
h
e
E
C
G
f
ea
tu
r
es
an
d
h
ea
r
t
s
ig
n
als
ar
e
illu
s
tr
ated
in
Fig
u
r
e
2
.
T
h
er
ef
o
r
e,
th
er
e
ar
e
tw
o
m
ain
ty
p
es
o
f
o
n
to
lo
g
y
:
1
)
p
er
s
o
n
o
n
to
lo
g
y
,
an
d
2
)
h
ea
lth
o
n
to
lo
g
y
.
T
h
ese
o
n
to
lo
g
ies
ar
e
s
h
o
w
n
in
Fig
u
r
e
3
.
T
h
e
o
n
to
lo
g
ical
d
iag
r
am
s
f
o
r
en
v
ir
o
n
m
en
t,
h
ea
lth
an
d
ac
tiv
ity
ar
e
d
ep
ic
ted
in
Fig
u
r
es
4
,
5
,
an
d
6
.
On
to
lo
g
ies
ar
e
b
u
ilt
b
ased
o
n
o
n
to
lo
g
y
d
iag
r
am
s
u
s
in
g
p
r
o
tég
é
to
o
l
[
4
]
,
w
h
ich
p
r
esen
ts
a
g
r
ap
h
ic
u
s
er
in
ter
f
ac
e
f
o
r
d
ev
elo
p
in
g
an
d
m
an
ag
in
g
th
e
o
n
to
lo
g
y
ar
ch
itectu
r
e.
T
h
er
ef
o
r
e,
f
o
r
m
o
r
e
r
ea
s
o
n
in
g
,
it
ca
n
co
n
v
er
t
f
iles
in
to
th
e
OW
L
f
o
r
m
at
[
7
]
.
I
n
o
r
d
er
to
o
b
tain
tem
p
o
r
al
d
ata,
w
e
u
s
ed
ad
d
itio
n
al
class
es
in
clu
d
in
g
in
ter
v
als
an
d
in
s
tan
ce
s
.
Fu
r
th
er
m
o
r
e,
tim
e
s
lice
an
d
tim
e
in
ter
v
al
class
es
w
er
e
d
ef
in
ed
in
r
elatio
n
to
th
e
Evaluation Warning : The document was created with Spire.PDF for Python.
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SS
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lec
E
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l
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10
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1
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p
r
il
2
0
1
8
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0
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–
3
1
9
312
tem
p
o
r
al
en
tity
.
Usi
n
g
o
n
to
lo
g
y
f
o
r
co
n
tex
t
m
o
d
elin
g
,
lo
g
ical
r
ea
s
o
n
in
g
is
p
o
s
s
ib
le.
A
m
eth
o
d
o
f
co
n
tex
t
r
ea
s
o
n
in
g
is
u
s
ed
to
in
f
er
im
p
licit
h
ig
h
-
lev
el
co
n
tex
ts
f
r
o
m
ex
p
licit
lo
w
-
lev
el
o
n
es.
So
m
e
r
u
les
(
e.
g
.
,
p
r
ed
ef
in
ed
r
u
les)
ar
e
d
ef
in
ed
in
o
n
to
lo
g
ical
r
ea
s
o
n
in
g
.
I
n
th
is
p
r
o
j
ec
t,
p
ellet
r
ea
s
o
n
er
[
1
0
]
w
as
in
s
talled
a
n
d
r
u
n
.
Fig
u
r
e
2
.
T
h
e
E
C
G
f
ea
tu
r
es e
x
tr
ac
ted
f
r
o
m
n
o
r
m
al
s
i
n
u
s
r
h
y
t
h
m
f
o
r
a
h
u
m
a
n
h
ea
r
t a
s
s
ee
n
o
n
E
C
G
[
9
]
Fig
ur
e
3
.
On
to
lo
g
ie
s
f
o
r
co
n
te
x
t a
to
m
s
Fig
u
r
e
4
.
E
n
v
ir
o
n
m
e
n
tal
o
n
to
l
o
g
y
d
iag
r
a
m
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
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SS
N:
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4752
On
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s
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313
Fig
u
r
e
5
.
Hea
lth
o
n
to
lo
g
y
d
ia
g
r
a
m
Fig
u
r
e
6
.
A
cti
v
it
y
o
n
to
lo
g
y
d
i
ag
r
a
m
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
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4752
I
n
d
o
n
esia
n
J
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lec
E
n
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&
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m
p
Sci,
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l
.
10
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1
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A
p
r
il
2
0
1
8
:
3
0
9
–
3
1
9
314
A
p
r
o
tég
é
to
o
l
w
a
s
ap
p
lied
to
b
u
ild
th
is
o
n
to
lo
g
y
an
d
to
cr
ea
te
s
o
m
e
in
s
tan
ce
s
in
t
h
e
f
r
a
m
e
w
o
r
k
.
P
r
o
tég
é
is
a
n
o
n
to
lo
g
y
-
ed
iti
n
g
to
o
l,
p
r
o
v
id
in
g
a
g
r
ap
h
ica
l
u
s
er
in
ter
f
ac
e
f
o
r
u
s
er
s
to
ea
s
i
l
y
cr
ea
te
an
d
m
a
n
ag
e
th
e
o
n
to
lo
g
y
ar
ch
itec
tu
r
e.
So
,
f
o
r
f
u
r
t
h
er
r
ea
s
o
n
i
n
g
,
u
s
i
n
g
t
h
is
to
o
l
h
elp
s
to
ex
p
o
r
t
f
ile
s
i
n
an
OW
L
f
o
r
m
a
t
[7
]
.
im
p
le
m
e
n
ted
an
o
n
to
lo
g
y
p
r
o
v
id
ed
in
Fig
u
r
e
7
.
As
it
ca
n
b
e
s
ee
n
i
n
t
h
e
F
i
g
u
r
e
7
,
in
o
r
d
er
to
ac
h
ie
v
e
te
m
p
o
r
al
d
ata,
w
e
h
av
e
u
s
ed
ad
d
itio
n
al
cla
s
s
e
s
in
cl
u
d
in
g
in
ter
v
als
a
n
d
in
s
tan
ce
s
.
Fu
r
t
h
er
m
o
r
e,
ti
m
e
s
l
ice
an
d
ti
m
e
i
n
ter
v
al
cla
s
s
es
ar
e
d
ef
i
n
ed
in
r
elatio
n
to
th
e
T
em
p
o
r
al
E
n
tit
y
.
Ob
j
ec
t
p
r
o
p
er
ty
is
also
d
ef
i
n
ed
w
it
h
an
o
b
j
ec
t
p
r
o
p
er
ty
tab
.
T
o
h
av
e
a
g
o
o
d
ch
ar
ac
ter
izatio
n
,
ev
er
y
o
b
j
ec
t
p
r
o
p
er
ty
m
u
s
t b
e
d
ef
i
n
ed
.
An
ex
a
m
p
le
i
s
„
a
f
ter
I
n
v
er
s
e
o
f
b
e
f
o
r
e‟
.
I
n
n
e
x
t
s
tep
,
th
e
i
n
d
iv
id
u
als
w
er
e
d
ef
i
n
ed
.
Gen
er
all
y
,
in
d
i
v
id
u
al
s
ar
e
r
ep
r
esen
tativ
e
s
o
f
o
n
to
lo
g
y
.
T
h
ey
ar
e
s
h
o
w
n
i
n
Fi
g
u
r
e
8
.
Fig
u
r
e
7
.
On
to
lo
g
y
(
cla
s
s
e
s
an
d
s
u
b
class
e
s
)
f
o
r
co
n
tex
t a
to
m
s
(
w
i
th
a
p
r
o
tég
é)
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n
d
o
n
esia
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J
E
lec
E
n
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&
C
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m
p
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N:
2502
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4752
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l Mo
b
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ie)
315
Fig
u
r
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8
.
I
n
d
iv
id
u
al
s
o
f
o
n
to
lo
g
y
T
h
e
o
v
er
all
v
ie
w
o
f
o
n
to
lo
g
y
(
clas
s
es,
p
r
o
p
er
ties
,
in
d
i
v
id
u
als)
i
s
s
h
o
w
n
i
n
Fi
g
u
r
e
9
.
A
g
r
ap
h
i
c
d
is
p
la
y
o
f
co
n
te
x
t
-
a
w
ar
e
o
n
to
l
o
g
y
is
al
s
o
illu
s
tr
ated
in
F
ig
u
r
e
1
0
.
Fig
u
r
e
9
.
C
lass
e
s
an
d
p
r
o
p
er
ties
o
f
o
n
to
lo
g
y
i
n
C
h
r
o
n
o
s
T
ab
Evaluation Warning : The document was created with Spire.PDF for Python.
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N
:
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5
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l
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p
r
il
2
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1
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u
r
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1
0
.
A
Gr
ap
h
ic
d
is
p
la
y
o
f
co
n
tex
t
-
a
w
ar
e
o
n
to
lo
g
y
3
.
3
.
Dec
is
io
n
-
m
a
k
i
ng
I
n
th
e
n
e
x
t
s
tep
o
f
i
m
p
le
m
e
n
ti
n
g
o
n
to
lo
g
y
,
t
h
e
co
llected
d
ata
o
n
en
v
ir
o
n
m
e
n
tal,
b
io
s
ig
n
a
ls
,
a
n
d
ac
tiv
it
y
f
ea
t
u
r
es
w
er
e
an
al
y
ze
d
at
th
e
b
ase
s
tatio
n
(
i.e
.
,
a
s
m
ar
t
p
h
o
n
e)
an
d
co
m
p
ar
ed
w
i
th
th
e
t
h
r
es
h
o
ld
s
.
I
f
n
ec
es
s
ar
y
,
an
ap
p
r
o
p
r
iate
r
esp
o
n
s
e
w
as
p
r
o
v
id
ed
to
t
h
e
s
it
u
a
tio
n
.
T
h
er
e
ar
e
f
o
u
r
t
y
p
e
s
o
f
a
lar
m
s
,
as
s
h
o
w
n
i
n
Fig
u
r
e
1
1
an
d
an
alar
m
m
an
a
g
e
m
en
t d
iag
r
a
m
is
s
h
o
w
n
i
n
Fi
g
u
r
e
1
2
.
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n
d
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n
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E
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N:
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u
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o
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tio
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in
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at
t
h
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a
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i
u
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is
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u
t
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t
s
d
o
n
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e
n
d
AC
K
(
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s
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n
s
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