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f
o
r
in
co
r
p
o
r
atin
g
th
e
co
m
p
le
m
e
n
tar
y
d
ata,
th
e
r
elatio
n
s
h
ip
s
b
et
w
ee
n
th
e
m
an
d
th
e
lin
k
i
n
g
to
t
h
e
m
ea
s
u
r
e
co
n
ce
p
t.
T
h
is
is
a
k
e
y
a
s
s
et
b
ec
au
s
e
n
o
w
w
e
ca
n
co
n
s
id
e
r
th
e
m
ea
s
u
r
es
n
o
t
j
u
s
t
f
r
o
m
t
h
e
p
o
in
t
o
f
v
ie
w
q
u
an
t
itati
v
e
b
u
t
also
s
p
atial
an
d
tem
p
o
r
al
to
o
.
T
h
e
q
u
an
titati
v
e
p
o
in
t
o
f
v
ie
w
i
s
id
en
ti
f
ied
tr
o
u
g
h
t
h
e
d
eter
m
i
n
is
t
ic
v
al
u
e
s
o
r
th
e
li
k
eli
h
o
o
d
d
is
tr
ib
u
tio
n
t
h
at
al
lo
w
u
s
m
o
n
ito
r
i
n
g
th
e
e
n
ti
t
y
u
n
d
er
an
al
y
s
i
s
.
T
h
e
s
p
atial
p
o
in
t
o
f
v
ie
w
is
as
s
o
ciate
d
w
i
t
h
th
e
g
eo
g
r
ap
h
ic
in
f
o
r
m
at
io
n
an
d
/o
r
th
eir
r
elate
d
d
ata
(
s
u
c
h
a
s
p
ict
u
r
es,
a
u
d
io
s
o
r
v
id
eo
s
)
t
h
at
d
escr
ib
e
th
e
co
n
tex
t
u
al
s
it
u
atio
n
f
o
r
th
e
e
n
tit
y
u
n
d
er
an
al
y
s
i
s
an
d
co
m
p
le
m
en
ti
n
g
th
e
q
u
a
n
ti
tativ
e
p
o
i
n
t
o
f
v
ie
w
.
Fi
n
all
y
,
t
h
e
te
m
p
o
r
al
p
o
in
t
o
f
v
ie
w
i
s
p
o
s
s
ib
le
b
ec
au
s
e
w
e
h
av
e
t
h
e
ti
m
es
ta
m
p
as
s
o
ciate
d
w
it
h
t
h
e
q
u
a
n
titati
v
e
a
n
d
s
p
atial
p
o
in
t o
f
v
ie
w
.
Fo
llo
w
s
,
w
e
ca
n
an
al
y
ze
j
o
in
tl
y
n
u
m
er
ic
v
al
u
es
(
d
eter
m
i
n
is
ti
c
o
r
esti
m
ated
)
a
n
d
t
h
e
co
m
p
le
m
en
tar
y
d
ata
(
p
ictu
r
es,
a
u
d
io
,
etc)
alo
n
g
t
h
e
ti
m
e.
T
h
e
s
ec
o
n
d
co
n
tr
ib
u
tio
n
is
th
e
u
p
d
atin
g
o
f
C
-
I
N
C
AM
I
/MI
S
f
o
r
j
o
in
tl
y
s
u
p
p
o
r
tin
g
t
h
e
g
eo
g
r
ap
h
ic
in
f
o
r
m
atio
n
,
p
ictu
r
es,
v
id
eo
s
an
d
au
d
io
s
a
s
co
m
p
le
m
e
n
tar
y
asp
ec
t
o
f
t
h
e
q
u
an
t
itati
v
e
v
alu
es.
I
n
t
h
i
s
w
a
y
a
n
d
co
n
s
id
er
in
g
th
e
h
eter
o
g
en
eo
u
s
d
ata
s
o
u
r
ce
s
,
th
is
w
il
l
allo
w
u
s
h
o
m
o
g
e
n
izi
n
g
a
n
d
g
iv
i
n
g
p
o
s
itio
n
al
f
ee
d
b
ac
k
to
P
A
b
MM
f
o
r
i
m
p
r
o
v
in
g
t
h
e
s
tatis
t
ical
an
al
y
s
is
a
n
d
th
e
clas
s
if
ier
s
.
T
h
is
ar
ticle
is
o
r
g
an
ized
i
n
s
i
x
s
ec
tio
n
s
.
Sec
tio
n
2
o
u
tli
n
es
t
h
e
ch
an
g
es
i
n
C
-
I
N
C
A
MI
f
r
a
m
e
w
o
r
k
f
o
r
s
u
p
p
o
r
tin
g
th
e
p
ict
u
r
es,
a
u
d
io
an
d
v
id
eo
u
n
d
er
th
e
m
e
asu
r
e
co
n
ce
p
t.
Sectio
n
3
s
h
o
w
s
t
h
e
u
p
d
ated
C
-
I
N
C
A
MI
/MI
S
s
c
h
e
m
a
f
o
r
s
u
p
p
o
r
tin
g
t
h
ese
n
e
w
k
i
n
d
s
o
f
d
ata.
Sect
io
n
4
s
y
n
t
h
esize
s
th
e
ap
p
licatio
n
o
f
C
-
I
N
C
A
MI
/MI
S
f
r
o
m
th
e
W
ea
th
er
R
a
d
ar
o
f
t
h
e
E
A
S
I
N
T
A
An
g
u
i
l
(
L
a
P
a
m
p
a,
A
r
g
en
ti
n
a)
.
Sectio
n
5
d
is
cu
s
s
es r
elate
d
w
o
r
k
s
a
n
d
f
i
n
all
y
s
u
m
m
ar
ize
s
th
e
co
n
cl
u
s
i
o
n
s
.
2.
C
-
I
NCAM
I
:
SUPP
O
RT
I
N
G
P
I
CT
UR
E
S,
AUD
I
O
AND
VIDE
O
2
.
1
.
T
he
O
rig
ina
l
M
ea
s
ure
m
ent
a
nd
E
v
a
lua
t
io
n Co
ncept
ua
l
F
ra
m
ew
o
rk
C
-
I
N
C
A
MI
is
a
co
n
ce
p
tu
al
f
r
a
m
e
w
o
r
k
[
7
]
,
[
8
]
,
w
h
ich
d
ef
in
e
s
th
e
co
n
ce
p
ts
a
n
d
th
eir
r
elate
d
co
m
p
o
n
e
n
t
s
f
o
r
th
e
M
&
E
ar
e
a
in
s
o
f
t
w
ar
e
o
r
g
a
n
izatio
n
s
.
I
t
p
r
o
v
id
es
a
d
o
m
ai
n
(
o
n
to
lo
g
ic
al)
m
o
d
el
d
ef
i
n
i
n
g
all
th
e
ter
m
s
[
5
]
,
p
r
o
p
er
ties
,
an
d
r
elatio
n
s
h
ip
s
n
ee
d
ed
to
d
esig
n
an
d
i
m
p
le
m
e
n
t
M
&
E
p
r
o
ce
s
s
es.
I
t
is
a
n
ap
p
r
o
ac
h
in
w
h
ic
h
th
e
r
eq
u
ir
e
m
en
ts
s
p
ec
i
f
icatio
n
,
M&
E
,
a
n
d
an
al
y
s
is
o
f
r
es
u
lt
s
ar
e
p
er
f
o
r
m
ed
f
o
r
s
atis
f
y
i
n
g
a
s
p
ec
if
ic
i
n
f
o
r
m
atio
n
n
ee
d
i
n
a
g
iv
e
n
co
n
te
x
t.
I
n
C
-
I
NC
A
MI
,
co
n
ce
p
ts
a
n
d
r
elatio
n
s
h
ip
s
ar
e
m
ea
n
t
to
b
e
u
s
ed
alo
n
g
all
t
h
e
M
&
E
ac
tiv
i
ties
.
T
h
is
w
a
y
,
a
co
m
m
o
n
u
n
d
er
s
tan
d
in
g
o
f
d
ata
a
n
d
m
etad
a
ta
is
s
h
ar
ed
a
m
o
n
g
p
r
o
j
ec
ts
f
o
s
ter
in
g
m
o
r
e
co
n
s
is
ten
t a
n
a
l
y
s
is
.
C
-
I
N
C
A
MI
i
s
s
tr
u
ct
u
r
ed
in
s
ix
co
m
p
o
n
e
n
ts
as
f
o
llo
w
s
:
a)
M&
E
P
r
o
j
ec
t
d
ef
in
itio
n
,
b
)
No
n
-
f
u
n
ctio
n
al
r
eq
u
ir
e
m
en
t
s
,
c)
C
o
n
tex
t,
iv
)
Me
as
u
r
e
m
e
n
t,
d
)
E
v
alu
atio
n
a
n
d
v
i)
An
al
y
s
i
s
an
d
R
ec
o
m
m
e
n
d
atio
n
.
T
h
e
M&
E
P
r
o
j
ec
t
d
ef
in
itio
n
(
No
t
s
h
o
w
n
i
n
Fi
g
u
r
e
1
)
d
e
f
in
es
an
d
r
elate
s
a
s
et
o
f
p
r
o
j
ec
t
ter
m
s
n
ee
d
ed
to
d
ea
l w
i
th
M
&
E
ac
ti
v
itie
s
,
m
et
h
o
d
s
,
r
o
les an
d
ar
tifa
cts.
T
h
e
No
n
-
f
u
n
ct
io
n
al
r
eq
u
ir
e
m
en
ts
(
r
eq
u
ir
e
m
e
n
ts
in
Fi
g
u
r
e
1
)
:
it
allo
w
s
s
p
ec
if
y
i
n
g
t
h
e
i
n
f
o
r
m
atio
n
n
ee
d
o
f
an
y
M
&
E
p
r
o
j
ec
t.
T
h
e
in
f
o
r
m
a
tio
n
n
ee
d
id
en
ti
f
ie
s
t
h
e
p
u
r
p
o
s
e
(
e.
g
.
p
r
ed
ict,
u
n
d
er
s
tan
d
,
etc.
)
an
d
th
e
u
s
er
v
ie
w
p
o
in
t
(
e.
g
.
f
i
n
al
u
s
er
)
;
in
t
u
r
n
,
it
f
o
cu
s
es
o
n
a
C
alc
u
lab
le
C
o
n
ce
p
t
(
e.
g
.
q
u
a
lit
y
s
y
s
te
m
)
a
n
d
s
p
ec
i
f
ies
th
e
E
n
tit
y
C
ate
g
o
r
y
to
ev
alu
a
te
(
e.
g
.
a
r
eso
u
r
ce
,
s
y
s
te
m
,
etc)
.
A
C
alcu
lab
le
C
o
n
ce
p
t
ca
n
b
e
d
ef
in
ed
as
an
ab
s
tr
ac
t
r
elatio
n
s
h
ip
b
et
w
ee
n
attr
ib
u
tes
o
f
an
en
t
it
y
a
n
d
a
g
i
v
en
i
n
f
o
r
m
atio
n
n
ee
d
.
T
h
i
s
ca
n
b
e
r
ep
r
ese
n
ted
b
y
a
C
o
n
ce
p
t
Mo
d
el
w
h
er
e
th
e
leav
es
o
f
an
i
n
s
ta
n
tiated
m
o
d
el
ar
e
A
ttrib
u
te
s
.
T
h
e
attr
ib
u
tes
ca
n
b
e
m
ea
s
u
r
ed
b
y
m
etr
ics.
Fo
r
th
e
co
n
te
x
t
p
ac
k
ag
e,
o
n
e
co
n
ce
p
t
is
C
o
n
te
x
t,
w
h
ic
h
r
ep
r
esen
ts
th
e
r
elev
a
n
t
s
tate
o
f
th
e
s
it
u
atio
n
o
f
t
h
e
e
n
tit
y
to
b
e
ass
e
s
s
ed
with
r
e
g
ar
d
to
t
h
e
i
n
f
o
r
m
atio
n
n
ee
d
.
W
e
co
n
s
id
er
C
o
n
te
x
t
a
s
a
s
p
ec
ial
k
in
d
o
f
E
n
tit
y
in
w
h
ic
h
r
elate
d
r
elev
an
t
en
t
ities
ar
e
in
v
o
l
v
ed
.
T
o
d
escr
ib
e
th
e
co
n
tex
t,
attr
ib
u
tes
o
f
th
e
r
ele
v
an
t
en
titi
e
s
ar
e
u
s
ed
–
w
h
ic
h
ar
e
al
s
o
A
ttrib
u
tes ca
lled
C
o
n
te
x
t P
r
o
p
er
ties
(
See
[
8
]
f
o
r
d
etails).
T
h
e
Me
asu
r
e
m
en
t
co
m
p
o
n
e
n
t,
in
cl
u
d
es
t
h
e
co
n
ce
p
ts
a
n
d
r
elatio
n
s
h
ip
s
in
te
n
d
ed
to
s
p
ec
if
y
th
e
m
ea
s
u
r
e
m
e
n
t
d
esi
g
n
an
d
i
m
p
l
e
m
en
tatio
n
.
R
e
g
ar
d
in
g
m
ea
s
u
r
e
m
en
t
d
esi
g
n
,
a
Me
tr
ic
p
r
o
v
i
d
es
a
Me
a
s
u
r
e
m
en
t
s
p
ec
if
icatio
n
o
f
h
o
w
to
q
u
a
n
ti
f
y
a
p
ar
ticu
lar
attr
ib
u
te
o
f
an
en
tit
y
,
u
s
in
g
a
p
ar
ticu
lar
Me
t
h
o
d
(
i.e
.
p
r
o
ce
d
u
r
e)
,
an
d
h
o
w
to
r
ep
r
esen
t
its
v
al
u
es,
u
s
i
n
g
a
p
ar
ticu
lar
Scale.
T
h
e
p
r
o
p
er
ties
o
f
th
e
m
ea
s
u
r
ed
v
alu
es
i
n
th
e
s
ca
le
w
it
h
r
e
g
ar
d
to
th
e
allo
w
ed
m
ath
e
m
atica
l
a
n
d
s
tati
s
tical
o
p
er
atio
n
s
an
d
a
n
al
y
s
i
s
ar
e
g
i
v
en
b
y
t
h
e
s
ca
leT
y
p
e
.
T
w
o
t
y
p
es
o
f
m
etr
ics
ar
e
d
is
tin
g
u
i
s
h
ed
.
Dir
ec
t
Me
tr
ic
is
th
at
f
o
r
w
h
ic
h
v
al
u
es
ar
e
o
b
tain
ed
d
ir
ec
tl
y
f
r
o
m
m
ea
s
u
r
in
g
t
h
e
co
r
r
esp
o
n
d
in
g
en
tit
y
's
attr
ib
u
te,
b
y
u
s
i
n
g
a
Me
asu
r
e
m
e
n
t
Me
t
h
o
d
.
On
t
h
e
o
th
er
h
a
n
d
,
th
e
I
n
d
ir
ec
t
Me
tr
ic
v
alu
e
i
s
ca
lc
u
lated
f
r
o
m
o
th
er
d
ir
ec
t
m
etr
ic
s
'
v
al
u
es
f
o
llo
w
in
g
a
f
o
r
m
u
la
s
p
ec
if
icatio
n
an
d
a
p
ar
ticu
lar
C
alc
u
latio
n
Me
t
h
o
d
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
J
E
C
E
Vo
l.
7
,
No
.
6
,
Dec
em
b
er
2
0
1
7
:
3
1
6
4
–
3
1
7
5
3166
Fig
u
r
e
1
.
Ma
in
co
m
p
o
n
e
n
ts
,
c
o
n
ce
p
ts
an
d
r
elatio
n
s
h
ip
s
f
o
r
th
e
C
-
I
NC
AM
I
co
n
ce
p
tu
al
f
r
a
m
e
w
o
r
k
[
3
]
Fo
r
m
ea
s
u
r
e
m
e
n
t
i
m
p
le
m
e
n
ta
tio
n
,
a
Me
asu
r
e
m
e
n
t
s
p
ec
i
f
ie
s
th
e
ta
s
k
b
y
u
s
in
g
a
p
ar
ticu
lar
m
etr
ic
d
escr
ip
tio
n
in
o
r
d
er
to
p
r
o
d
u
ce
a
Me
asu
r
e
v
al
u
e.
Oth
er
ass
o
ciate
d
m
e
tad
ata
is
th
e
d
ata
co
llecto
r
n
a
m
e
an
d
th
e
ti
m
e
s
ta
m
p
i
n
w
h
ich
t
h
e
m
ea
s
u
r
e
m
en
t
w
a
s
p
er
f
o
r
m
ed
.
T
h
e
E
v
alu
atio
n
co
m
p
o
n
e
n
t
i
n
cl
u
d
es
th
e
co
n
ce
p
ts
a
n
d
r
elatio
n
s
h
ip
s
in
te
n
d
ed
to
s
p
ec
if
y
t
h
e
ev
alu
a
tio
n
d
esi
g
n
a
n
d
i
m
p
le
m
en
tatio
n
.
I
t
is
w
o
r
th
y
to
m
en
tio
n
t
h
at
t
h
e
s
elec
ted
m
e
tr
ics
ar
e
u
s
e
f
u
l
f
o
r
a
m
ea
s
u
r
e
m
e
n
t
tas
k
s
a
s
lo
n
g
a
s
th
e
s
e
lecte
d
in
d
icato
r
s
ar
e
u
s
e
f
u
l f
o
r
a
n
ev
a
lu
at
io
n
ta
s
k
s
i
n
o
r
d
er
to
in
ter
p
r
et
th
e
s
tated
in
f
o
r
m
atio
n
n
ee
d
.
I
n
d
ic
ato
r
is
th
e
m
ain
ter
m
,
a
n
d
th
e
r
e
ar
e
t
w
o
t
y
p
es
o
f
in
d
icato
r
s
.
First,
E
le
m
e
n
tar
y
I
n
d
icato
r
th
at
ev
al
u
ate
s
attr
ib
u
tes
co
m
b
i
n
ed
in
a
co
n
c
ep
t
m
o
d
el.
E
ac
h
ele
m
e
n
tar
y
in
d
icato
r
h
as
a
n
E
le
m
e
n
tar
y
Mo
d
el
t
h
at
p
r
o
v
id
es
a
m
ap
p
in
g
f
u
n
ctio
n
f
r
o
m
t
h
e
m
etr
ic
'
s
m
ea
s
u
r
es
(
t
h
e
d
o
m
a
in
)
to
th
e
in
d
icato
r
's
s
ca
le
(
th
e
r
an
g
e)
.
T
h
e
n
e
w
s
ca
le
is
i
n
ter
p
r
eted
u
s
i
n
g
ag
r
ee
d
d
ec
is
io
n
cr
iter
ia,
w
h
ich
h
e
lp
an
al
y
ze
th
e
le
v
el
o
f
s
ati
s
f
ac
t
io
n
r
ea
ch
e
d
b
y
ea
c
h
ele
m
e
n
tar
y
n
o
n
f
u
n
c
tio
n
al
r
eq
u
ir
e
m
en
t,
i.e
.
b
y
ea
c
h
attr
ib
u
te.
Seco
n
d
,
P
ar
tial/Glo
b
al
I
n
d
icato
r
,
w
h
ic
h
ev
al
u
ate
s
m
id
-
le
v
el
an
d
h
ig
h
er
-
le
v
el
r
eq
u
ir
e
m
en
ts
,
i.e
.
s
u
b
-
ch
ar
ac
ter
is
t
ics
a
n
d
ch
ar
ac
ter
is
tic
s
in
a
co
n
ce
p
t
m
o
d
el.
Di
f
f
er
en
t
ag
g
r
eg
a
tio
n
m
o
d
els
(
Glo
b
alM
o
d
el)
ca
n
b
e
u
s
ed
to
p
e
r
f
o
r
m
ev
alu
a
tio
n
s
.
T
h
e
g
lo
b
al
in
d
ica
to
r
’
s
v
a
lu
e
u
lti
m
ate
l
y
r
ep
r
ese
n
ts
th
e
g
lo
b
al
d
eg
r
ee
o
f
s
ati
s
f
ac
tio
n
i
n
m
ee
tin
g
t
h
e
s
tated
in
f
o
r
m
atio
n
n
ee
d
f
o
r
a
g
iv
e
n
p
u
r
p
o
s
e
an
d
u
s
er
v
ie
wp
o
in
t.
A
s
f
o
r
th
e
i
m
p
le
m
e
n
tat
io
n
,
an
E
v
al
u
atio
n
r
ep
r
esen
ts
th
e
ta
s
k
i
n
v
o
l
v
i
n
g
a
s
in
g
le
ca
lc
u
latio
n
,
f
o
llo
win
g
a
p
ar
ticu
lar
i
n
d
icato
r
s
p
ec
if
icatio
n
–
eith
er
ele
m
e
n
tar
y
o
r
g
lo
b
al
-
,
p
r
o
d
u
ci
n
g
a
n
I
n
d
icato
r
Valu
e.
T
h
e
P
A
b
MM
r
eu
s
es
th
e
C
-
I
N
C
A
MI
co
n
ce
p
tu
al
b
ase,
i
n
o
r
d
er
to
o
b
tain
a
r
ep
ea
tab
le
an
d
co
n
s
is
te
n
t
d
ata
s
tr
ea
m
p
r
o
ce
s
s
i
n
g
.
T
h
u
s
,
s
tr
ea
m
s
ar
e
b
asicall
y
m
ea
s
u
r
es
(
i.e
.
,
r
a
w
d
ata
u
s
u
al
l
y
co
m
in
g
f
r
o
m
s
e
n
s
o
r
s
)
,
w
h
ic
h
ar
e
lin
k
ed
ac
co
r
d
in
g
l
y
w
it
h
t
h
e
m
etad
ata
b
ased
o
n
C
-
I
NC
AM
I
,
s
u
c
h
as
th
e
e
n
tit
y
b
ein
g
m
ea
s
u
r
ed
,
th
e
attr
ib
u
te
an
d
its
co
r
r
esp
o
n
d
in
g
m
etr
ic
w
it
h
th
e
s
ca
le
a
n
d
m
e
asu
r
e
m
en
t
/calc
u
latio
n
p
r
o
ce
d
u
r
e,
th
e
tr
ac
e
g
r
o
u
p
,
a
m
o
n
g
o
t
h
er
s
.
Fo
r
a
g
i
v
en
d
ata
s
tr
ea
m
,
n
o
t
o
n
l
y
m
ea
s
u
r
es
ass
o
ciate
d
to
m
etr
ics
o
f
attr
ib
u
tes
ar
e
tag
g
ed
b
u
t
also
m
ea
s
u
r
es
as
s
o
ciate
d
to
co
n
tex
tu
al
p
r
o
p
er
ties
as
w
ell.
T
h
an
k
s
to
ea
ch
M&
E
p
r
o
j
ec
t
s
p
e
cif
icatio
n
is
b
ased
o
n
C
-
I
N
C
A
MI
,
th
e
p
r
o
ce
s
s
i
n
g
o
f
tag
g
ed
d
ata
s
tr
ea
m
s
ar
e
th
en
i
n
ali
g
n
m
e
n
t
w
it
h
th
e
p
r
o
j
ec
t
o
b
j
ec
tiv
e
an
d
in
f
o
r
m
atio
n
n
ee
d
,
allo
w
in
g
t
h
u
s
tr
ac
ea
b
ilit
y
an
d
co
n
s
is
te
n
c
y
b
y
s
u
p
p
o
r
tin
g
a
clea
r
s
ep
ar
atio
n
o
f
co
n
ce
r
n
s
.
Fo
r
in
s
ta
n
ce
,
f
o
r
a
g
iv
e
n
p
r
o
j
ec
t
–
m
o
r
e
th
a
n
o
n
e
p
r
o
j
ec
t
c
an
b
e
r
u
n
n
i
n
g
at
th
e
s
a
m
e
ti
m
e
-
,
i
t
is
ea
s
y
to
id
en
ti
f
y
w
h
et
h
er
a
m
ea
s
u
r
e
i
s
co
m
in
g
f
r
o
m
a
n
attr
ib
u
te
o
r
f
r
o
m
a
co
n
tex
t
u
al
p
r
o
p
er
ty
,
a
n
d
also
its
as
s
o
ciate
d
s
ca
le
t
y
p
e
an
d
u
n
it.
T
h
er
ef
o
r
e,
th
e
s
tatis
t
ical
an
a
l
y
s
is
i
s
b
en
e
f
ite
d
b
ec
au
s
e
th
e
v
er
i
f
icatio
n
f
o
r
co
n
s
is
ten
c
y
o
f
ea
c
h
m
ea
s
u
r
e
ag
ai
n
s
t its
f
o
r
m
al
(
m
etr
ic)
d
ef
in
itio
n
ca
n
b
e
p
er
f
o
r
m
ed
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
-
8708
To
w
a
r
d
s
a
C
o
n
s
is
ten
t Mea
s
u
r
eme
n
t S
tr
ea
m
P
r
o
ce
s
s
in
g
fr
o
m
Hete
r
o
g
en
eo
u
s
Da
ta
S
o
u
r
c
es
(
Ma
r
io
Divá
n
)
3167
2
.
2
.
T
he
R
o
le
o
f
C
-
I
NCAM
I
in P
AbM
M
I
n
t
h
e
n
u
t
s
h
e
ll,
t
h
e
m
ea
s
u
r
e
m
en
t
s
tr
ea
m
is
i
n
f
o
r
m
ed
b
y
ea
ch
h
eter
o
g
e
n
eo
u
s
d
ata
s
o
u
r
ce
to
t
h
e
Me
asu
r
e
m
en
t
A
d
ap
ter
(
MA
)
.
T
h
e
MA
in
co
r
p
o
r
ates
th
e
m
e
t
ad
ata
(
e.
g
.
m
etr
ic
I
D,
co
n
tex
t
p
r
o
p
er
ty
I
D,
etc.
)
ass
o
ciate
d
to
ea
ch
d
ata
s
o
u
r
ce
in
to
th
e
s
tr
ea
m
in
o
r
d
er
to
tr
an
s
m
it
m
ea
s
u
r
es
to
t
h
e
Gat
h
er
i
n
g
Fu
n
cti
o
n
(
GF)
.
Su
c
h
m
ea
s
u
r
es
ar
e
o
r
g
a
n
ized
in
G
F
b
y
th
eir
m
etad
ata
a
n
d
t
h
en
s
e
n
t
to
t
h
e
An
al
y
s
i
s
&
S
m
o
o
t
h
i
n
g
F
u
n
c
tio
n
(
A
S
F).
ASF
p
er
f
o
r
m
s
a
s
et
o
f
s
tatis
t
ical
an
a
l
y
s
is
o
n
t
h
e
s
tr
ea
m
i
n
o
r
d
er
to
d
etec
t
d
ev
i
atio
n
s
o
r
p
r
o
b
lem
s
w
i
th
d
ata,
co
n
s
id
er
in
g
it
s
f
o
r
m
al
d
ef
i
n
itio
n
(
as
p
er
C
-
I
NC
AM
I
DB
)
.
I
n
tu
r
n
,
th
e
i
n
cr
e
m
e
n
tal
class
i
f
ier
s
(
i.e
.
th
e
C
u
r
r
en
t
an
d
Up
d
ated
C
lass
if
ie
r
s
)
an
al
y
ze
t
h
e
ar
r
iv
i
n
g
m
ea
s
u
r
es
an
d
ac
t
ac
co
r
d
in
g
l
y
tr
i
g
g
er
in
g
alar
m
s
i
n
ca
s
e
a
r
is
k
s
it
u
atio
n
ar
is
es.
Fig
u
r
e
2
.
T
h
e
Gen
er
al
P
r
o
ce
s
s
in
g
P
er
s
p
ec
tiv
e
o
f
P
A
b
MM
As
y
o
u
ca
n
s
ee
in
Fi
g
u
r
e
2
,
t
h
e
d
ata
s
o
u
r
ce
s
c
a
n
b
e
g
r
u
p
ed
u
n
d
er
t
h
e
id
ea
o
f
t
h
e
tr
ac
i
n
g
g
r
o
u
p
.
I
n
th
is
s
e
n
s
e,
n
o
t
h
in
g
w
ar
r
an
t
y
t
h
e
h
o
m
o
g
e
n
eit
y
b
et
w
ee
n
d
i
f
f
er
en
t
d
ata
s
o
u
r
ce
s
b
elo
n
g
i
n
g
to
th
e
s
a
m
e
tr
ac
i
n
g
g
r
o
u
p
(
e.
g
.
t
w
o
W
R
f
r
o
m
d
i
f
f
er
en
t
m
an
u
f
ac
t
u
r
er
s
,
o
r
ev
en
,
f
r
o
m
th
e
s
a
m
e
m
a
n
u
f
ac
tu
r
er
b
u
t
w
it
h
d
if
f
er
en
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m
o
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el
s
)
.
I
n
[
4
]
w
e
s
a
w
t
h
at
t
h
e
W
R
co
u
ld
p
r
o
v
id
e
u
s
n
o
t o
n
l
y
w
it
h
d
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m
in
is
tic
v
al
u
es b
u
t a
ls
o
w
i
th
p
ictu
r
e
s
o
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p
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r
es
s
eq
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e
n
ce
s
.
I
n
th
is
s
en
s
e,
th
e
o
r
ig
in
al
p
r
o
p
o
s
al
f
r
o
m
C
-
I
NC
AM
I
(
See
s
ec
t
io
n
2
.
1
.
)
in
r
elatio
n
w
it
h
t
h
e
m
ea
s
u
r
e
m
en
t
co
m
p
o
n
en
t
w
a
s
n
o
t
en
o
u
g
h
b
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au
s
e
it
co
n
s
id
er
s
th
e
v
al
u
e
as
s
o
ciat
ed
w
ith
t
h
e
m
ea
s
u
r
e
j
u
s
t lik
e
a
d
eter
m
i
n
is
tic
n
u
m
b
er
(
See
in
th
e
Me
as
u
r
e
class
in
s
id
e
th
e
Me
a
s
u
r
e
m
en
t
p
ac
k
a
g
e
in
Fi
g
u
r
e
1
,
j
u
s
t is
ab
le
to
r
ep
r
esen
t o
n
e
v
a
lu
e)
.
2
.
3
.
E
x
t
en
din
g
C
-
I
NC
AM
I
f
o
r
S
up
po
rt
ing
Co
m
ple
m
ent
a
ry
D
a
t
a
I
n
Fi
g
u
r
e
3
,
w
e
p
r
o
p
o
s
e
th
e
e
x
ten
s
io
n
o
f
t
h
e
co
n
ce
p
t
ca
l
led
m
ea
s
u
r
e
a
n
d
th
e
u
s
e
o
f
co
m
p
le
m
e
n
tar
y
d
ata
as
a
n
e
w
p
o
in
t
o
f
v
ie
w
o
v
er
ea
ch
m
ea
s
u
r
e.
Fo
r
b
etter
d
if
f
er
e
n
tiatio
n
,
w
e
m
a
in
tai
n
w
it
h
p
ai
n
ted
b
ac
k
g
r
o
u
n
d
t
h
e
o
r
ig
i
n
al
co
n
ce
p
ts
f
r
o
m
C
-
I
N
C
A
MI
a
n
d
w
it
h
b
lan
k
b
ac
k
g
r
o
u
n
d
t
h
e
n
e
w
in
co
r
p
o
r
ated
co
n
ce
p
ts
o
r
ex
ten
s
io
n
s
.
As
s
h
o
w
n
i
n
Fi
g
u
r
e
3
,
th
e
Qu
a
n
titati
v
eM
ea
s
u
r
e
cla
s
s
i
n
h
er
its
f
r
o
m
th
e
Me
as
u
r
e
cla
s
s
a
n
d
i
t
r
ep
r
esen
ts
t
h
e
s
it
u
atio
n
in
w
h
i
ch
th
e
m
ea
s
u
r
e
i
s
ex
cl
u
s
iv
el
y
n
u
m
er
ic,
b
u
t
n
o
t
n
ec
e
s
s
a
r
il
y
d
eter
m
i
n
is
tic.
I
n
th
is
s
en
s
e,
th
e
Q
u
an
ti
tati
v
eM
ea
s
u
r
e
class
co
u
ld
b
e
ass
o
ciate
d
w
i
th
a
d
eter
m
i
n
is
tic
m
ea
s
u
r
e
m
e
n
t
p
r
o
ce
s
s
in
w
h
ich
w
e
g
et
a
clea
r
l
y
d
e
f
i
n
ed
v
al
u
e
(
Dete
r
m
i
n
is
ticMe
as
u
r
e
cla
s
s
i
n
F
ig
u
r
e
3
)
,
o
r
it
co
u
ld
b
e
ass
o
ciate
d
w
i
th
a
n
esti
m
ated
p
r
o
c
ess
i
n
w
h
ic
h
w
e
o
b
tain
a
s
et
o
f
<
v
al
u
e,
li
k
eli
h
o
o
d
>
p
air
s
(
See
th
e
cla
s
s
e
s
ca
lled
L
i
k
eli
h
o
o
d
Dis
tr
ib
u
tio
n
an
d
E
s
ti
m
ated
Valu
e
in
Fi
g
u
r
e
3
)
.
Fo
r
th
is
r
ea
s
o
n
,
t
h
e
Q
u
a
n
tita
tiv
eM
ea
s
u
r
e
cla
s
s
in
co
r
p
o
r
ates
th
e
id
ea
o
f
s
y
n
t
h
esis
A
l
g
o
r
ith
m
a
s
attr
ib
u
te,
b
e
ca
u
s
e
e
v
en
w
h
e
n
i
s
tr
iv
ial
i
n
a
d
eter
m
in
i
s
tic
v
al
u
e
(
th
e
v
al
u
e
i
s
th
e
s
a
m
e)
;
it
d
o
es
n
o
t
tr
i
v
ial
i
n
li
k
eli
h
o
o
d
d
is
tr
ib
u
tio
n
i
n
w
h
ic
h
w
e
co
u
ld
u
s
e
th
e
m
ath
e
m
at
ical
ex
p
ec
tatio
n
f
o
r
s
y
n
t
h
esizi
n
g
t
h
e
d
is
tr
ib
u
tio
n
in
o
n
e
r
ep
r
esen
tativ
e
v
alu
e.
E
ac
h
m
ea
s
u
r
e
co
u
ld
h
a
v
e
co
m
p
l
e
m
en
tar
y
d
ata
(
See
t
h
e
clas
s
es C
o
m
p
le
m
e
n
tar
y
Data
)
w
h
ic
h
allo
w
u
s
co
m
p
le
m
e
n
t
t
h
e
m
ea
s
u
r
e
it
s
el
f
,
f
o
r
ex
a
m
p
le,
o
n
e
p
ict
u
r
e
co
u
ld
d
escr
ib
e
th
e
h
ab
itat
u
n
d
er
an
al
y
s
is
w
h
e
n
w
e
w
a
n
t
to
m
ea
s
u
r
e
th
e
w
i
n
d
v
el
o
cit
y
o
f
th
e
p
lace
.
So
,
th
e
co
m
p
le
m
e
n
tar
y
d
ata
ar
e
a
co
m
p
o
s
itio
n
o
f
at
least
o
n
e
co
m
p
le
m
e
n
tar
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d
atu
m
,
w
h
ic
h
is
r
ep
r
esen
ted
a
s
a
n
ab
s
tr
ac
t
cl
ass
ca
l
led
C
o
m
p
le
m
e
n
tar
y
Dat
u
m
i
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t
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Fig
u
r
e
3
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4
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3168
an
d
it
in
co
r
p
o
r
ates
th
r
ee
attr
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b
u
tes:
1
)
m
i
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s
io
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:
t
h
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m
i
m
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v
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s
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ciate
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w
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ies
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tp
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in
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.
A
s
y
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ca
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s
ee
in
Fi
g
u
r
e
3
,
f
r
o
m
th
e
C
o
m
p
le
m
en
tar
y
Dat
u
m
clas
s
in
h
er
it
f
iv
e
cla
s
s
e
s
:
1.
Geo
g
r
ap
h
icC
o
m
p
le
m
e
n
tar
y
Da
ta:
it
a
llo
w
s
s
e
n
d
in
g
a
d
o
cu
m
en
t
u
n
d
er
th
e
Geo
g
r
ap
h
y
Ma
r
k
u
p
L
a
n
g
u
a
g
e
(
GM
L
)
[
9
]
,
[
1
0
]
as
a
co
m
p
l
e
m
en
t
o
f
th
e
m
ea
s
u
r
e.
T
h
is
class
h
as
t
w
o
attr
ib
u
te
s
,
GM
L
Do
cu
m
e
n
t
a
n
d
GM
L
Ver
s
io
n
.
T
h
e
GM
L
Do
cu
m
en
t
attr
ib
u
te
co
n
tai
n
s
th
e
d
o
cu
m
e
n
t
o
r
g
a
n
ized
in
ter
m
s
o
f
GM
L
an
d
th
e
GM
L
Ver
s
io
n
attr
ib
u
te
r
ef
er
s
to
th
e
GM
L
’
s
v
er
s
io
n
.
I
t
is
w
o
r
t
h
y
to
m
e
n
tio
n
b
ec
au
s
e
i
t
allo
w
u
s
in
co
r
p
o
r
ates
th
e
p
o
s
s
ib
ilit
y
f
o
r
estab
lis
h
i
n
g
a
r
elatio
n
s
h
ip
b
et
w
ee
n
th
e
p
o
s
itio
n
i
n
g
a
n
d
th
e
i
m
ag
e,
t
h
e
au
d
io
tr
ac
k
o
r
th
e
v
id
eo
;
2.
P
lain
T
ex
tData:
I
t
allo
w
s
i
n
co
r
p
o
r
atin
g
te
x
t
u
al
i
n
f
o
r
m
at
io
n
ass
o
ciate
d
w
it
h
t
h
e
m
ea
s
u
r
e
o
r
th
e
m
ea
s
u
r
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m
e
n
t
d
e
v
ice,
f
o
r
ex
a
m
p
le,
th
e
d
ev
ice
’
s
lo
g
at
th
e
m
o
m
e
n
t
o
f
t
h
e
m
ea
s
u
r
e.
T
h
is
class
i
n
co
r
p
o
r
ates
th
e
attr
ib
u
te
s
tex
tVal
u
e
an
d
l
an
g
u
a
g
e.
T
h
e
tex
tVal
u
e
attr
i
b
u
te
co
n
tai
n
s
t
h
e
d
ata
in
te
x
t
p
lain
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d
th
e
lan
g
u
a
g
e
attr
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u
te
i
n
d
icate
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th
e
id
io
m
i
n
w
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h
th
e
te
x
t
i
s
w
r
itte
n
b
y
t
h
e
u
s
e
o
f
I
SO 6
3
9
(
1
1
)
.
3.
P
ictu
r
eDa
ta:
T
h
is
class
in
co
r
p
o
r
ates
th
e
p
o
s
s
ib
ilit
y
o
f
u
s
i
n
g
a
p
h
o
to
as
co
m
p
le
m
en
t
o
f
a
m
ea
s
u
r
e.
T
h
e
ti
m
e
s
ta
m
p
attr
ib
u
te
i
n
d
icate
s
th
e
m
o
m
en
t
i
n
w
h
ic
h
th
e
p
ict
u
r
e
w
a
s
ta
k
en
,
an
d
th
e
p
ict
u
r
eVa
lu
e
a
ttrib
u
te
s
to
r
e
th
e
d
ata
ass
o
ciate
d
w
ith
th
e
i
m
ag
e
it
s
el
f
.
As
y
o
u
ca
n
s
ee
in
Fi
g
u
r
e
3
,
o
n
e
P
ictu
r
eDa
t
a’
s
o
b
j
ec
t
co
u
ld
b
e
ass
o
ciate
d
w
it
h
p
o
s
itio
n
a
l d
ata
th
r
o
u
g
h
t
h
e
as
s
o
ciatio
n
w
it
h
th
e
cla
s
s
Geo
g
r
ap
h
icC
o
m
p
le
m
en
tar
y
.
4.
Au
d
io
T
r
ac
k
Data
:
th
e
clas
s
all
o
w
s
u
s
u
s
e
a
n
au
d
io
tr
ac
k
a
s
a
co
m
p
le
m
e
n
t
o
f
t
h
e
m
ea
s
u
r
e.
T
h
e
ti
m
esta
m
p
attr
ib
u
te
i
n
d
icate
s
t
h
e
m
o
m
en
t
in
w
h
ic
h
t
h
e
a
u
d
io
tr
ac
k
s
t
ar
ted
th
e
r
ec
o
r
d
in
g
.
T
h
e
d
u
r
a
tio
n
attr
ib
u
te
i
s
ass
o
ciate
d
w
it
h
th
e
tr
ac
k
’
s
lo
n
g
it
u
d
e
an
d
th
e
a
u
d
io
Valu
e
a
ttrib
u
te
r
ep
r
esen
ts
th
e
a
u
d
io
it
s
e
lf
.
I
n
t
h
is
ca
s
e
,
w
e
ca
n
e
s
tab
lis
h
a
r
elatio
n
s
h
ip
b
et
w
ee
n
an
Au
d
io
T
r
ac
k
Data
’
s
o
b
j
ec
t
an
d
a
Geo
g
r
ap
h
icC
o
m
p
le
m
e
n
tar
y
Da
ta’
s
o
b
j
ec
t
co
n
s
id
er
in
g
th
e
ti
m
esta
m
p
.
T
h
at
i
s
to
s
a
y
,
i
f
w
e
c
an
s
y
n
ch
r
o
n
ize
th
e
ti
m
esta
m
p
as
s
o
ciate
d
w
i
t
h
th
e
s
tar
ti
n
g
o
f
th
e
a
u
d
io
tr
ac
k
w
it
h
a
d
escr
ib
ed
in
s
ta
n
t
i
n
th
e
GM
L
d
ata,
th
en
i
t’
s
h
i
g
h
l
y
p
o
s
s
ib
le
an
al
y
ze
th
e
au
d
io
an
d
g
eo
g
r
ap
h
ic
i
n
f
o
r
m
atio
n
j
o
in
tl
y
.
5.
Vid
eo
Data
:
it
r
ep
r
esen
ts
t
h
e
p
o
s
s
ib
ilit
y
o
f
u
s
i
n
g
a
v
id
eo
as
a
co
m
p
le
m
e
n
t
o
f
t
h
e
m
ea
s
u
r
e.
T
h
e
ti
m
e
s
ta
m
p
attr
ib
u
te
i
n
d
icate
s
th
e
m
o
m
e
n
t
i
n
w
h
ic
h
t
h
e
v
id
eo
s
tar
ted
th
e
r
ec
o
r
d
in
g
.
T
h
e
d
u
r
at
io
n
attr
ib
u
te
i
s
ass
o
ciate
d
w
it
h
th
e
v
id
eo
’
s
l
o
n
g
it
u
d
e
a
n
d
t
h
e
v
id
eo
Valu
e
attr
ib
u
te
r
ep
r
esen
ts
t
h
e
v
id
e
o
its
el
f
.
L
i
k
e
t
h
e
au
d
io
tr
ac
k
,
w
e
ca
n
e
s
tab
lis
h
a
r
elatio
n
s
h
ip
b
et
w
ee
n
a
Vid
eo
Data
’
s
o
b
j
ec
t
an
d
a
G
eo
g
r
ap
h
icC
o
m
p
le
m
e
n
tar
y
Da
ta’
s
o
b
j
ec
t c
o
n
s
id
er
in
g
t
h
e
ti
m
esta
m
p
.
I
n
t
h
is
s
e
n
s
e
an
d
tr
o
u
g
h
th
e
i
n
co
r
p
o
r
atio
n
o
f
th
e
clas
s
es
as
s
o
ciate
d
w
it
h
t
h
e
co
m
p
le
m
e
n
tar
y
d
ata,
we
n
o
w
b
e
ab
le
to
m
a
n
a
g
e
a
n
e
w
p
er
s
p
ec
ti
v
e
o
f
d
ata
f
o
r
co
m
p
le
m
e
n
ti
n
g
ea
c
h
m
ea
s
u
r
e
a
n
d
its
p
r
o
c
ess
i
n
g
.
T
h
e
C
-
I
N
C
A
MI
f
r
a
m
e
w
o
r
k
is
e
x
ten
d
ed
f
o
r
s
u
p
p
o
r
tin
g
co
m
p
l
e
m
en
tar
y
d
ata
i
n
m
etr
ics
as
s
o
ciate
d
w
i
th
en
tit
y
attr
ib
u
tes
a
n
d
/o
r
co
n
tex
t
p
r
o
p
er
ties
.
Fo
r
tak
in
g
ad
v
a
n
tag
e
o
f
th
e
co
m
p
le
m
en
tar
y
d
ata
in
th
e
m
ea
s
u
r
e
m
e
n
t
p
r
o
ce
s
s
es,
w
e
n
ee
d
in
co
r
p
o
r
ate
in
C
-
I
NC
A
MI
th
e
s
p
e
cif
ic
Fi
g
u
r
e
o
f
th
e
d
ata
s
o
u
r
ce
b
ec
au
s
e
ea
ch
m
ea
s
u
r
e
m
e
n
t
p
r
o
j
ec
t
h
as
d
if
f
er
en
t
r
eq
u
ir
e
m
en
t
s
a
n
d
t
h
e
d
ata
co
llecto
r
is
e
s
s
e
n
tial
in
t
er
m
s
o
f
r
eliab
ilit
y
,
p
r
ec
is
io
n
,
etc.
W
ith
t
h
e
ai
m
o
f
f
o
c
u
s
i
n
g
th
e
co
n
ce
p
t
ass
o
ciate
d
w
i
th
t
h
e
d
ata
co
llecto
r
,
w
e
r
ep
lace
th
e
d
ataCo
llecto
r
Na
m
e
attr
ib
u
te
f
r
o
m
t
h
e
Me
asu
r
e
m
e
n
t
class
(
I
n
s
id
e
o
f
Me
as
u
r
e
m
e
n
t
p
ac
k
a
g
e
in
Fig
u
r
e
1
)
f
o
r
a
n
e
w
Data
So
u
r
ce
clas
s
(
See
i
n
Fi
g
u
r
e
3
)
.
T
h
e
Data
So
u
r
ce
class
r
ep
r
esen
t
s
t
h
e
co
n
ce
p
t
ass
o
ciate
d
w
it
h
th
e
m
ea
s
u
r
e
m
e
n
t
d
ev
ice,
w
h
ich
a
llo
w
s
u
s
to
g
et
t
h
e
m
ea
s
u
r
es.
I
n
th
is
s
e
n
s
e,
th
e
Data
So
u
r
c
e
class
in
co
r
p
o
r
ates
f
o
u
r
r
ep
r
esen
tat
iv
e
at
tr
ib
u
tes
:
d
ataSo
u
r
ce
I
D,
n
a
m
e,
t
y
p
e
an
d
d
ataFo
r
m
ats.
T
h
e
d
ata
So
u
r
ce
I
D
attr
ib
u
te
id
en
ti
f
ies
th
e
d
ata
s
o
u
r
ce
alo
n
g
t
h
e
M
&
E
p
r
o
j
ec
ts
f
o
r
f
o
s
ter
in
g
t
h
e
tr
ac
ea
b
ilit
y
.
T
h
e
n
a
m
e
attr
ib
u
te
i
s
a
f
r
ien
d
lier
w
a
y
f
o
r
r
ef
er
e
n
ci
n
g
th
e
d
e
v
ice
(
e.
g
.
a
n
al
ias).
T
h
e
t
y
p
e
attr
ib
u
te
allo
w
s
u
s
to
k
n
o
w
if
th
e
d
ev
ic
e
s
en
d
s
th
e
m
ea
s
u
r
es
in
p
r
ed
ictab
le
o
r
u
n
p
r
ed
ictab
le
w
a
y
(
e.
g
.
t
h
e
w
ea
t
h
er
r
ad
ar
r
eg
u
la
r
l
y
s
e
n
d
s
d
ata
f
o
r
p
r
o
ce
s
s
in
g
.
So
,
it
is
p
r
ed
ictab
le)
.
T
h
e
d
ataFo
r
m
at
s
attr
ib
u
te
allo
w
u
s
k
n
o
w
in
g
ab
o
u
t
th
e
d
if
f
er
e
n
t
w
a
y
s
th
at
th
e
d
ata
s
o
u
r
ce
co
u
ld
o
r
g
an
izes
th
e
co
n
te
n
t.
E
ac
h
d
ata
s
o
u
r
ce
s
en
d
s
th
e
m
ea
s
u
r
es
al
w
a
y
s
th
r
o
u
g
h
a
m
ea
s
u
r
e
m
e
n
t
ad
ap
ter
(
See
D
ataSo
u
r
ce
A
d
ap
ter
in
Fi
g
u
r
e
3
)
.
T
h
e
m
ea
s
u
r
e
m
e
n
t
ad
ap
ter
tr
an
s
late
s
f
r
o
m
t
h
e
o
r
ig
in
al
d
ata
f
o
r
m
at
ass
o
ciate
d
w
it
h
t
h
e
d
ata
s
o
u
r
ce
to
th
e
C
-
I
N
C
A
MI
/MI
S
s
tr
ea
m
.
I
n
t
h
is
w
a
y
,
ea
c
h
d
at
a
s
o
u
r
ce
ad
ap
ter
in
co
r
p
o
r
ates
t
h
r
ee
attr
ib
u
tes
:
d
s
A
d
ap
ter
I
D,
n
a
m
e
a
n
d
s
u
p
p
o
r
ted
Fo
r
m
ats
.
T
h
e
d
s
A
d
ap
ted
I
D
attr
ib
u
te
id
en
t
if
ie
s
t
h
e
m
ea
s
u
r
e
m
en
t
ad
ap
ter
alo
n
g
th
e
M&
E
p
r
o
j
ec
ts
.
T
h
e
n
a
m
e
attr
ib
u
t
e
is
a
f
r
ien
d
lier
w
a
y
f
o
r
r
ef
er
en
ci
n
g
th
e
m
ea
s
u
r
e
m
en
t
ad
ap
ter
.
T
h
e
s
u
p
p
o
r
ted
Fo
r
m
ats
a
ttrib
u
te
allo
w
u
s
k
n
o
w
i
n
g
ab
o
u
t
th
e
k
i
n
d
o
f
f
o
r
m
at
s
th
at
t
h
e
ad
ap
ter
co
u
ld
tr
an
s
late
s
to
C
-
I
NC
A
MI
/MI
S.
W
h
en
w
e
h
a
v
e
d
i
f
f
er
en
t
d
ata
s
o
u
r
ce
s
m
o
n
ito
r
in
g
t
h
e
s
a
m
e
e
n
tit
y
u
n
d
er
an
al
y
s
i
s
(
e.
g
.
d
if
f
er
e
n
t
w
ea
t
h
er
r
ad
ar
s
m
ak
in
g
co
m
p
l
e
m
en
tar
y
m
o
n
ito
r
in
g
f
o
r
th
e
s
a
m
e
r
e
g
io
n
)
,
w
e
co
u
ld
g
r
o
u
p
i
n
g
t
h
e
m
u
n
d
er
t
h
e
T
r
ac
eGr
o
u
p
class
(
See
i
n
Fi
g
u
r
e
3
)
.
I
t is i
m
p
o
r
tan
t b
ec
au
s
e
e
v
en
w
h
e
n
t
h
is
co
n
ce
p
t th
er
e
n
o
t e
x
is
ted
b
ef
o
r
e
i
n
C
-
I
N
C
A
MI
,
its
i
n
co
r
p
o
r
atio
n
is
u
s
e
f
u
l i
n
th
e
p
r
o
ce
s
s
i
n
g
as
y
o
u
ca
n
s
ee
i
n
Fi
g
u
r
e
2
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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C
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SS
N:
2
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8
8
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To
w
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s
a
C
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ten
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eme
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t S
tr
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g
fr
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Hete
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Da
ta
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3169
T
h
e
Data
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u
r
ce
P
r
o
p
er
ty
cla
s
s
(
See
i
n
Fig
u
r
e
3
)
i
n
h
er
it
s
f
r
o
m
t
h
e
Attr
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s
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ir
e
m
e
n
t
s
p
ac
k
ag
e
in
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-
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N
C
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MI
,
See
F
ig
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r
e
1
)
an
d
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ts
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h
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r
o
p
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ty
th
at
allo
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ter
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r
ce
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t
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ce
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.
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n
th
is
w
a
y
,
th
e
Data
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u
r
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P
r
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p
er
ties
co
n
tain
s
t
h
e
ch
ar
ac
ter
is
tic
s
th
a
t
d
escr
ib
e
to
th
e
d
ata
s
o
u
r
ce
,
i
n
d
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t
h
e
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a
n
ce
a
n
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t
h
e
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d
v
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e.
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d
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all
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.
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w
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ates th
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g
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ith
m
a
ttri
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i
n
F
ig
u
r
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3
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an
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e
k
i
n
d
o
f
f
ilter
(
f
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T
y
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e
in
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g
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r
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.
e.
g
.
m
a
n
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ato
r
y
o
r
p
r
ef
er
ab
le)
.
W
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co
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P
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Fro
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ated
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ata
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Fig
u
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4
s
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e
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izatio
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ates t
w
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:
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f
r
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h
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r
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ata
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f
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th
e
C
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Un
d
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tag
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ates
th
r
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attr
ib
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tes:
1
)
d
ataSo
u
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I
D:
it
r
ep
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esen
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t
h
e
id
en
ti
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icatio
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o
d
e
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alo
n
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t
h
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M&
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2
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o
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ig
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alDa
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at:
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Fig
u
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4
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Un
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ter
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ated
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r
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m
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3
.
)
.
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e
w
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1
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ateti
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o
ciate
d
th
r
ee
attr
ib
u
tes
:
m
i
m
eVe
r
s
io
n
,
m
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eCo
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y
p
e
an
d
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u
r
atio
n
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h
e
attr
ib
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tes
m
i
m
eVe
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io
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an
d
m
i
m
eCo
n
ten
tT
y
p
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h
a
v
e
th
e
s
a
m
e
m
ea
n
in
g
s
u
ch
as
w
e
d
ef
in
ed
in
s
ec
t
io
n
2
.3
.
(
w
h
en
w
e
i
n
tr
o
d
u
ce
d
th
e
C
o
m
p
le
m
en
tar
y
Dat
u
m
cla
s
s
)
.
T
h
e
attr
ib
u
te
d
u
r
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n
i
n
d
icate
s
t
h
e
t
i
m
e
i
n
s
ec
o
n
d
s
a
s
s
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ci
ated
w
ith
au
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io
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r
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id
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b
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t in
t
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e
o
f
p
ict
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e,
it a
l
w
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s
w
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ll b
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ce
r
o
.
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d
er
th
e
co
m
p
le
m
en
tar
y
D
atu
m
tag
w
e
h
av
e
f
i
v
e
p
o
s
s
ib
ilit
ie
s
f
o
r
c
h
o
o
s
in
g
t
h
e
k
in
d
o
f
co
m
p
le
m
e
n
tar
y
d
atu
m
;
it
co
u
l
d
b
e
g
eo
g
r
ap
h
ic
in
f
o
r
m
atio
n
(
GM
L
ta
g
)
,
a
p
h
o
to
(
p
ictu
r
eDa
ta
tag
)
,
a
p
lain
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
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C
E
I
SS
N:
2
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To
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P
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p
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au
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r
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k
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v
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s
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co
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p
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m
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Datu
m
ta
g
.
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v
en
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al
l
y
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if
w
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d
m
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en
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m
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y
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o
m
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m
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Datu
m
ta
g
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s
w
e
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ee
d
u
n
d
er
th
e
co
m
p
le
m
en
tar
y
Da
ta
tag
.
As
s
h
o
w
n
in
Fi
g
u
r
e
5
,
o
n
t
h
e
o
n
e
h
a
n
d
,
th
e
GM
L
ta
g
is
a
p
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s
s
ib
ilit
y
to
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ch
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th
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co
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m
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n
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Datu
m
ta
g
,
an
d
o
n
th
e
o
h
ter
h
an
d
it
ca
n
b
e
r
eu
s
ed
f
r
o
m
th
e
g
eo
g
r
ap
h
y
Data
tag
a
s
s
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ciate
d
w
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h
th
e
ta
g
s
p
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u
r
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ta,
a
u
d
io
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Data
an
d
v
id
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t
is
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m
p
o
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t
b
ec
au
s
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al
lo
w
u
s
estab
li
s
h
a
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s
h
ip
b
et
w
ee
n
t
h
e
au
d
io
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v
id
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o
r
p
i
ctu
r
e
an
d
th
e
g
eo
g
r
ap
h
ic
in
f
o
r
m
atio
n
.
T
h
is
n
e
w
v
er
s
io
n
o
f
C
-
I
N
C
AM
I
/MI
S e
x
te
n
d
s
t
h
e
p
r
e
v
io
u
s
v
er
s
io
n
g
i
v
i
n
g
s
u
p
p
o
r
ts
to
t
h
e
ex
ten
d
ed
C
-
I
NC
A
MI
f
r
a
m
e
w
o
r
k
s
h
o
w
n
i
n
t
h
e
Sectio
n
2
.
T
h
er
ef
o
r
e,
t
h
e
n
e
w
v
er
s
io
n
o
f
t
h
e
m
ea
s
u
r
e
m
en
t
i
n
ter
ch
a
n
g
e
s
ch
e
m
a
i
n
co
r
p
o
r
ates n
e
w
p
o
s
s
ib
ilit
ies
n
o
t c
o
n
s
id
er
ed
b
ef
o
r
e,
s
u
c
h
as:
a.
T
r
ac
ea
b
ilit
y
:
w
e
i
n
co
r
p
o
r
ate
t
h
e
r
esp
o
n
s
ib
le
(
t
h
e
m
ea
s
u
r
e
m
en
t
ad
ap
ter
)
f
o
r
tr
an
s
lati
n
g
f
r
o
m
th
e
r
a
w
d
ata
g
en
er
ated
b
y
t
h
e
d
ata
s
o
u
r
ce
,
t
o
th
e
C
-
I
N
C
A
MI
/MI
S
s
tr
ea
m
,
b.
C
o
m
p
le
m
en
tar
y
Data
:
w
e
i
n
clu
d
e
n
e
w
d
ata
t
y
p
e
s
a
s
s
o
cia
ted
w
it
h
t
h
e
m
ea
s
u
r
es
(
e.
g
.
au
d
io
,
v
id
eo
o
r
p
ictu
r
es).
Mo
r
eo
v
er
,
th
e
co
m
p
le
m
en
tar
y
d
ata
co
u
ld
b
e
r
elate
d
w
i
th
g
eo
g
r
ap
h
ic
i
n
f
o
r
m
ati
o
n
f
o
r
b
etter
i
n
g
th
e
lo
ca
lizatio
n
i
n
m
ap
s
an
d
th
e
tr
ac
ea
b
ilit
y
.
I
t
i
s
w
o
r
t
h
y
t
o
m
e
n
tio
n
th
at
t
h
i
s
co
m
p
le
m
en
tar
y
d
ata
ar
e
o
p
tio
n
als.
I
t
is
t
h
at
to
s
a
y
,
wh
en
w
e
n
ee
d
p
er
f
o
m
a
n
ce
i
n
t
h
e
d
ata
s
tr
ea
m
p
r
o
ce
s
s
in
g
w
e
co
u
l
o
m
it
t
h
e
co
m
p
le
m
e
n
tar
y
d
ata
an
d
m
ak
e
p
ar
ticu
llar
y
f
o
cu
s
o
n
t
h
e
q
u
a
n
titativ
e
m
ea
s
u
r
es.
c.
I
n
teg
r
it
y
Ver
if
ica
tio
n
:
U
n
d
er
ea
ch
m
ea
s
u
r
e
m
en
tI
te
m
ta
g
,
th
e
in
teg
r
it
y
o
f
t
h
e
co
n
te
n
t
ca
n
b
e
v
er
if
ied
u
s
i
n
g
th
e
f
o
o
tp
r
in
t,
a
n
d
d.
Su
p
p
o
r
tin
g
f
o
r
n
e
w
k
in
d
o
f
m
ea
s
u
r
es:
T
h
e
co
n
tex
t
an
d
t
h
e
e
n
tit
y
u
n
d
er
a
n
al
y
s
is
ca
n
b
e
m
o
n
ito
r
ed
j
o
in
tl
y
u
s
i
n
g
q
u
a
n
titati
v
e
m
ea
s
u
r
es
a
n
d
n
o
w
,
t
h
ese
m
ea
s
u
r
es
ca
n
b
e
esti
m
ated
o
r
d
eter
m
i
n
i
s
tic.
T
h
e
n
e
w
s
c
h
e
m
a
is
ab
le
f
o
r
m
a
n
ag
i
n
g
lik
eli
h
o
o
d
d
is
tr
ib
u
tio
n
s
allo
w
i
n
g
t
h
e
u
s
e
o
f
s
y
n
t
h
esi
s
al
g
o
r
ith
m
s
f
o
r
g
et
tin
g
a
r
ep
r
esen
tativ
e
v
al
u
e
o
f
t
h
e
d
ata
s
er
ies.
T
h
er
ef
o
r
e
an
d
as
w
e
s
h
o
w
e
d
b
ef
o
r
e,
th
e
v
er
s
io
n
2
o
f
C
I
NC
A
MI
/MI
S
i
n
co
r
p
o
r
ates
i
m
p
o
r
tan
t
ch
an
g
es
w
h
ic
h
allo
w
s
e
x
ten
d
in
g
t
h
e
p
o
s
s
ib
il
ities
o
f
m
o
n
ito
r
in
g
f
o
r
th
e
e
n
ti
ties
u
n
d
er
an
al
y
s
i
s
an
d
t
h
eir
co
n
tex
t
s
.
I
t is i
m
p
o
r
tan
t b
ec
au
s
e
o
p
en
s
n
e
w
o
p
p
o
r
tu
n
it
ies o
r
ien
ted
to
d
if
f
er
e
n
t d
ata
m
o
n
e
tiz
atio
n
s
tr
ate
g
ies.
Fig
u
r
e
5
.
T
h
e
Deta
iled
C
o
m
p
l
e
m
en
tar
y
Data
f
r
o
m
Fi
g
u
r
e
2
f
o
r
th
e
C
I
NC
A
MI
/ M
ea
s
u
r
e
m
en
t I
n
ter
c
h
an
g
e
Sch
e
m
a
-
Ver
s
io
n
2
(
A
=
All,
S
=Seq
u
en
ce
a
n
d
C
=C
h
o
ice)
4.
A
P
RACT
I
CAL C
AS
E
:
T
H
E
WE
AT
H
E
R
RADA
R
As
s
h
o
w
n
i
n
Fi
g
u
r
e
6
,
W
R
a
r
e
ac
tiv
e
s
en
s
o
r
s
o
f
r
em
o
te
s
e
n
s
in
g
th
at
e
m
it
p
u
l
s
es
o
f
elec
tr
o
m
a
g
n
etic
en
er
g
y
in
to
t
h
e
at
m
o
s
p
h
er
e
in
th
e
r
an
g
e
o
f
m
icr
o
w
av
e
f
r
eq
u
en
cie
s
.
T
h
eir
m
ea
s
u
r
e
m
e
n
ts
ar
e
b
ased
,
f
ir
s
t,
o
n
th
e
elec
tr
o
m
ag
n
etic
r
ad
iatio
n
as
it
p
r
o
p
ag
ates
i
n
t
h
e
at
m
o
s
p
h
er
e
is
s
ca
tter
ed
b
y
th
e
o
b
j
ec
ts
an
d
p
ar
ticles
ex
is
t
in
g
,
an
d
s
ec
o
n
d
l
y
,
t
h
e
ab
ilit
y
o
f
th
e
a
n
te
n
n
as
f
o
r
e
m
itt
i
n
g
d
ir
ec
ted
r
ad
iatio
n
a
n
d
ca
p
tu
r
in
g
t
h
e
r
ad
iatio
n
in
cid
en
t
f
r
o
m
a
ce
r
tai
n
d
ir
ec
tio
n
.
T
h
ese
s
e
n
s
o
r
s
ar
e
t
o
o
ls
to
m
o
n
ito
r
e
n
v
ir
o
n
m
e
n
tal
v
ar
ia
b
les,
a
n
d
s
p
ec
if
icall
y
,
t
h
e
id
en
ti
f
icatio
n
,
an
al
y
s
i
s
,
m
o
n
ito
r
in
g
,
f
o
r
e
ca
s
tin
g
a
n
d
ev
alu
a
tio
n
o
f
h
y
d
r
o
m
eteo
r
o
lo
g
ical
p
h
en
o
m
e
n
a,
a
s
w
el
l
as
p
h
y
s
ic
al
p
r
o
ce
s
s
es
t
h
at
th
e
s
e
i
n
v
o
lv
e
,
g
i
v
en
th
e
r
is
k
t
h
at
ca
n
ca
u
s
e
s
ev
er
e
e
v
en
ts
.
T
h
e
s
ca
n
n
i
n
g
r
e
g
io
n
a
s
s
o
ciate
d
w
i
t
h
t
h
e
W
R
i
s
d
y
n
a
m
ic
an
d
it
ch
an
g
es
i
ts
r
ad
iu
s
f
r
o
m
1
2
0
k
m
to
3
6
0
k
m
,
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
J
E
C
E
Vo
l.
7
,
No
.
6
,
Dec
em
b
er
2
0
1
7
:
3
1
6
4
–
3
1
7
5
3172
co
n
s
id
er
in
g
t
h
e
r
ad
ar
as
th
e
c
en
tr
e
p
o
in
t
o
f
t
h
e
cir
cle.
A
d
d
itio
n
all
y
,
th
e
s
ca
n
n
i
n
g
h
ap
p
en
s
in
d
if
f
er
en
t
an
g
le
s
o
f
elev
atio
n
,
f
r
o
m
0
to
8
5
°
alo
n
g
t
h
e
s
ca
n
n
i
n
g
ter
r
ito
r
y
g
i
v
en
b
y
th
e
s
ca
n
n
i
n
g
r
ad
iu
s
.
I
t
is
i
m
p
o
r
tan
t
to
s
a
y
th
at
t
h
e
5
°
i
m
m
ed
iatel
y
u
p
p
er
th
e
r
ad
ar
,
it
ca
n
n
o
t
b
e
m
o
n
i
t
o
r
an
d
f
o
r
th
at
r
ea
s
o
n
is
ca
lle
d
s
ilen
ce
co
n
e
(
See
Fig
u
r
e
6
)
.
T
h
e
m
ai
n
ap
p
licatio
n
s
o
f
th
e
W
R
ar
e:
a
)
w
ea
t
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er
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[
4
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y
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u
r
e
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h
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s
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r
ef
lec
ti
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ac
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Z
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d
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tial
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lecti
v
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d
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m
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(
1
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.
Fig
u
r
e
6
.
P
ar
tial V
ie
w
o
f
a
C
I
NC
A
MI
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S
v
er
s
io
n
2
Do
cu
m
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Fig
u
r
e
6
s
h
o
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ip
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t
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er
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h
is
do
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t
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o
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ized
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ter
m
s
o
f
t
h
e
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NC
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S
v
e
r
s
io
n
2
.
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h
e
s
tar
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ti
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al
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t
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w
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ar
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E
E
A
,
An
g
u
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A
r
g
e
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ti
n
a
-
)
.
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w
e
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ate
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at
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W
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R
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K)
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d
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s
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d
icate
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th
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m
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3
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g
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it c
o
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ld
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e
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er
th
e
s
p
h
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e
x
a
m
p
le
Fig
u
r
e)
.
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h
e
s
tar
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n
Fi
g
u
r
e
6
s
h
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ws
a
q
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a
n
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m
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is
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ay
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m
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tp
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s
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ch
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k
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th
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d
ata
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r
elatio
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to
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tr
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ter
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ata
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tr
ea
m
,
ea
ch
f
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o
tp
r
in
t
is
ass
o
ciate
d
w
it
h
a
l
o
g
ical
w
i
n
d
o
w
f
o
r
p
r
o
ce
s
s
in
g
i
n
P
A
b
MM
.
T
h
u
s
,
w
it
h
t
h
e
e
x
te
n
s
io
n
o
f
C
-
I
NC
AM
I
f
r
a
m
e
w
o
r
k
an
d
th
e
u
p
d
atin
g
o
f
C
I
NC
A
MI
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S
(
See
Sectio
n
2
.
3
.
an
d
3
r
esp
ec
tiv
el
y
)
,
w
e
i
n
co
r
p
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r
ate
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m
p
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tan
t
u
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m
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m
en
t
in
ter
ch
a
n
g
e
s
c
h
e
m
a,
s
u
c
h
as:
a.
W
e
ar
e
ab
le
to
s
en
d
en
v
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o
n
m
en
tal
au
d
io
co
m
in
g
f
r
o
m
t
h
e
W
R
co
n
tex
t
in
s
id
e
th
e
d
ata
s
tr
ea
m
,
e.
g
.
f
o
r
au
d
io
m
o
n
ito
r
i
n
g
u
s
i
n
g
au
d
io
class
i
f
ier
s
(
e.
g
.
u
s
e
f
u
l f
o
r
w
i
n
d
,
elec
tr
ical
ac
tiv
it
y
,
etc.
)
,
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w
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a
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t
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f
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th
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m
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n
o
m
en
o
n
,
e.
T
h
e
s
ch
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m
a
in
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p
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ates
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d
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m
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h
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ig
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RE
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m
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f
v
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ased
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an
d
in
co
r
p
o
r
ates
tech
n
iq
u
es
f
o
r
th
e
ad
ap
tiv
e
m
a
n
a
g
e
m
e
n
t
o
f
h
ig
h
-
r
at
e
s
tr
ea
m
s
[
1
3
]
.
Ou
r
p
r
ev
io
u
s
p
r
o
p
o
s
al
w
it
h
C
-
I
N
C
A
MI
/MI
S
v
er
s
io
n
1
i
n
co
r
p
o
r
ated
d
ata
an
d
m
etad
ata
j
o
in
tl
y
in
s
id
e
th
e
s
a
m
e
d
ata
s
t
r
ea
m
.
I
t
allo
w
ed
u
s
in
ter
ch
a
n
g
e
d
if
f
er
e
n
t
k
in
d
o
f
d
ata
an
d
w
e
m
an
a
g
ed
to
i
n
ter
p
r
et
th
e
m
in
b
a
s
e
o
n
t
h
e
M
&
E
P
r
o
j
ec
t
Def
in
itio
n
.
No
w
,
w
it
h
th
e
v
er
s
io
n
2
o
f
th
e
m
ea
s
u
r
e
m
e
n
t
in
ter
c
h
an
g
e
s
c
h
e
m
a,
w
e
in
co
r
p
o
r
ate
in
teg
r
it
y
co
n
tr
o
l
an
d
n
e
w
d
ata
ty
p
es
s
u
ch
as
v
id
eo
,
au
d
io
o
r
p
ictu
r
e
in
s
id
e
th
e
d
ata
s
tr
ea
m
,
w
h
ic
h
allo
w
u
s
g
et
tin
g
a
b
etter
d
escr
ip
tio
n
ab
o
u
t th
e
en
t
it
y
u
n
d
er
an
al
y
s
is
an
d
its
co
n
te
x
t.
A
p
ac
h
e
Sto
r
m
i
n
co
r
p
o
r
ates
th
e
d
ata
s
u
ch
as
tu
p
le
s
i
n
an
alo
g
y
w
i
th
t
h
e
r
elatio
n
al
m
o
d
el
an
d
in
ter
ch
a
n
g
es
t
h
e
tu
p
le
s
u
n
d
er
a
f
ix
ed
s
tr
u
ct
u
r
e
b
et
w
ee
n
Sp
o
u
ts
a
n
d
/o
r
B
o
lts
[
1
]
,
[
1
4
]
.
I
n
C
-
I
NC
AM
I
/MI
S,
th
e
ch
ar
ac
ter
is
tic
s
ass
o
ciate
d
w
i
t
h
t
h
e
en
ti
t
y
u
n
d
er
an
al
y
s
i
s
(
attr
ib
u
tes)
o
r
its
co
n
tex
t
(
co
n
t
ex
t
p
r
o
p
er
ties
)
,
ar
e
d
ef
in
e
d
i
n
th
e
M
&
E
p
r
o
j
ec
t
an
d
t
h
e
y
ar
e
n
o
t
in
co
r
p
o
r
ated
s
u
ch
as
p
ar
t
o
f
t
h
e
to
p
o
lo
g
y
a
s
h
ap
p
en
in
A
p
ac
h
e
Sto
r
m
.
I
t
is
i
m
p
o
r
tan
t,
b
ec
au
s
e
th
e
m
ea
s
u
r
es (
d
ata
a
n
d
m
eta
d
ata)
an
d
t
h
e
p
h
e
n
o
m
en
a
u
n
d
e
r
an
al
y
s
i
s
g
u
id
e
t
h
e
p
r
o
ce
s
s
in
g
s
tr
ateg
y
i
n
b
ase
o
n
th
e
m
o
n
ito
r
in
g
n
e
ce
s
s
it
ies
i
n
co
r
p
o
r
ated
in
th
e
M&
E
P
r
o
j
e
ct.
I
n
th
is
s
en
s
e,
an
in
ter
esti
n
g
a
n
d
u
s
ab
le
a
s
p
ec
t
i
s
as
s
o
ciate
d
w
it
h
Kaf
k
a
Stre
a
m
[
1
5
]
,
[
1
6
]
b
ec
au
s
e
it
in
c
lu
d
es
a
f
r
a
m
e
w
o
r
k
-
f
r
ee
s
tr
ea
m
p
r
o
ce
s
s
i
n
g
,
s
o
w
e
ca
n
p
r
o
ce
s
s
th
e
C
I
N
C
A
MI
/MI
S st
r
ea
m
in
a
tr
an
s
p
ar
en
t
w
a
y
.
Th
e
R
eso
u
r
ce
Descr
ip
tio
n
Fr
a
m
e
w
o
r
k
(
R
DF)
is
a
s
ta
n
d
ar
d
m
o
d
el
f
o
r
d
ata
in
ter
c
h
a
n
g
e
f
r
o
m
t
h
e
s
e
m
a
n
tic
w
eb
[
1
7
]
,
[
1
8
]
.
R
DF
h
as
f
ea
tu
r
e
s
t
h
at
f
ac
ili
tate
d
at
a
m
er
g
in
g
a
n
d
it
s
u
p
p
o
r
ts
s
c
h
e
m
as
an
d
s
e
m
an
tic
v
er
if
ica
tio
n
.
C
I
N
C
A
MI
/MI
S
is
a
s
p
ec
ialized
m
ea
s
u
r
e
m
e
n
t
in
te
r
ch
a
n
g
e
s
ch
e
m
a
b
ased
o
n
th
e
C
-
I
N
C
A
MI
co
n
ce
p
tu
al
f
r
a
m
e
w
o
r
k
.
T
h
er
ef
o
r
e,
w
e
j
u
s
t
n
ee
d
d
ef
in
e
th
e
in
f
o
r
m
atio
n
n
ee
d
,
th
e
en
t
it
y
u
n
d
er
an
al
y
s
i
s
t
o
m
o
n
ito
r
a
n
d
it
s
co
n
tex
t
i
n
s
id
e
th
e
M
&
E
p
r
o
j
ec
t
u
s
i
n
g
t
h
e
c
o
n
ce
p
ts
,
ter
m
s
a
n
d
r
elatio
n
s
h
i
p
s
o
f
C
-
I
NC
AM
I
.
Fo
llo
w
ed
,
w
e
u
s
e
th
e
d
ata
s
tr
ea
m
(
d
ata
an
d
m
etad
ata)
co
m
in
g
f
r
o
m
d
if
f
er
en
t
s
en
s
o
r
s
f
o
r
g
u
id
i
n
g
th
e
p
r
o
ce
s
s
in
g
s
tr
ateg
y
[
1
9
]
in
a
m
o
r
e
co
n
s
is
ten
t
w
a
y
.
T
h
e
I
SO
1
9
1
5
6
[
2
0
]
d
ef
in
es
a
co
n
ce
p
tu
a
l
s
c
h
e
m
a
f
o
r
o
b
s
er
v
atio
n
s
,
an
d
f
o
r
f
ea
tu
r
e
s
in
v
o
lv
ed
s
a
m
p
li
n
g
w
h
e
n
m
ak
i
n
g
o
b
s
er
v
atio
n
s
.
T
h
ese
p
r
o
v
id
e
m
o
d
els
f
o
r
th
e
e
x
ch
a
n
g
e
o
f
i
n
f
o
r
m
atio
n
d
escr
ib
i
n
g
o
b
s
er
v
atio
n
ac
ts
a
n
d
th
eir
r
es
u
lts
.
T
h
e
s
ta
n
d
ar
d
ex
p
o
s
es
m
a
n
y
i
n
ter
es
tin
g
p
o
in
t
s
s
u
ch
a
s
t
h
e
in
co
r
p
o
r
atio
n
o
f
th
e
d
i
m
e
n
s
io
n
s
te
m
p
o
r
al,
s
p
ati
al
o
r
s
p
atial
-
te
m
p
o
r
al.
I
n
th
i
s
s
en
s
e,
t
h
e
n
e
w
C
-
I
N
C
A
MI
/MI
S sch
e
m
a
r
e
u
s
e
t
h
e
id
ea
b
u
t
ex
te
n
d
in
g
it
f
o
r
s
u
p
p
o
r
tin
g
es
ti
m
ated
m
ea
s
u
r
e
s
.
So
,
u
s
i
n
g
C
-
I
NC
A
MI
/
MI
S
w
e
ca
n
i
n
f
o
r
m
d
eter
m
in
i
s
tic
an
d
est
i
m
a
ted
m
ea
s
u
r
es
an
d
t
h
e
y
co
u
ld
b
e
r
elate
d
w
ith
g
eo
g
r
ap
h
ic
d
at
a
f
o
r
b
etter
in
g
th
e
ass
o
ciate
d
p
o
s
itio
n
i
n
g
u
s
i
n
g
G
ML
.
6.
CO
NCLU
SI
O
N
I
n
th
is
w
o
r
k
,
w
e
s
h
o
w
ed
an
ex
ten
s
io
n
f
o
r
th
e
C
-
I
N
C
A
M
I
co
n
ce
p
tu
al
f
r
a
m
e
w
o
r
k
th
at
allo
w
s
u
s
in
co
r
p
o
r
atin
g
a
n
e
w
p
er
s
p
ec
ti
v
e
f
o
r
th
e
co
n
ce
p
t
o
f
m
ea
s
u
r
es.
No
w
,
th
e
m
ea
s
u
r
es
co
u
ld
b
e
co
m
p
le
m
e
n
ted
tr
o
u
g
h
v
id
eo
,
g
eo
g
r
ap
h
ic
i
n
f
o
r
m
at
io
n
,
te
x
t
p
lain
(
s
u
c
h
as
r
ad
ar
lo
g
s
)
,
p
ictu
r
es
o
r
au
d
i
o
as
s
u
p
p
o
r
t
o
f
th
e
q
u
an
tita
tiv
e
m
ea
s
u
r
es.
E
v
en
,
th
e
q
u
a
n
titati
v
e
m
ea
s
u
r
e
s
c
o
u
ld
b
e
d
eter
m
i
n
i
s
tic
o
r
e
s
ti
m
ated
,
o
p
en
i
n
g
t
h
e
p
o
s
s
ib
ilit
y
f
o
r
d
ea
li
n
g
w
it
h
li
k
elih
o
o
d
d
i
s
tr
ib
u
tio
n
in
tr
an
s
p
ar
en
t
w
a
y
.
I
t is
i
m
p
o
r
tan
t
,
b
ec
au
s
e
t
h
e
q
u
an
t
itati
v
e
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