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a
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te
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©
2
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1
8
In
stit
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te o
f
A
d
v
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d
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Al
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rig
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d
.
C
o
r
r
e
s
p
o
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ing
A
uth
o
r
:
Hair
u
l
n
iza
m
Ma
h
d
i
n
,
Facu
lt
y
o
f
C
o
m
p
u
ter
Scien
ce
an
d
I
n
f
o
r
m
atio
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T
ec
h
n
o
lo
g
y
,
Un
i
v
er
s
iti T
u
n
H
u
s
s
ie
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On
n
Ma
la
y
s
ia
.
E
m
ail:
h
air
u
l
n
@
u
th
m
.
ed
u
.
m
y
1
.
I
NT
RO
DUCTI
O
N
R
FID
tec
h
n
o
lo
g
y
u
s
es
r
ad
io
-
f
r
eq
u
en
c
y
w
a
v
es
to
au
to
m
atica
ll
y
id
en
ti
f
y
p
eo
p
le
o
r
o
b
j
ec
ts
.
B
ased
o
n
th
is
m
ar
k
et
a
n
d
tr
aj
ec
to
r
y
,
it
i
s
ex
p
ec
ted
t
h
at
R
FID
w
ill
b
ec
o
m
e
t
h
e
m
o
s
t
co
m
m
o
n
p
er
v
a
s
iv
e
d
ev
ices
i
n
o
u
r
lif
e
[
1
]
.
R
FID
h
as
b
ee
n
u
s
ed
in
a
w
id
e
v
ar
iet
y
o
f
a
p
p
licatio
n
s
s
u
ch
a
s
ap
p
ar
el
[
2
]
,
s
u
p
p
ly
c
h
ai
n
m
an
a
g
e
m
e
n
t
[
3
]
,
tr
an
s
p
o
r
tin
g
s
y
s
te
m
[
4
]
an
d
f
o
o
d
in
d
u
s
tr
y
[
5
]
.
Ho
w
e
v
er
,
th
er
e
ar
e
s
ti
ll
ch
alle
n
g
e
s
to
b
e
s
o
lv
ed
in
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n
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y
s
te
m
,
a
n
d
o
n
e
o
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th
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m
i
s
th
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n
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d
etec
tio
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p
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le
m
.
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s
i
n
g
tag
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etec
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io
n
ca
n
h
ap
p
en
d
u
e
to
s
ig
n
al
co
ll
is
io
n
[
6
]
,
elec
tr
ical
i
n
ter
f
er
en
ce
[
7
]
an
d
u
n
k
n
o
w
n
r
eso
u
r
ce
s
[
8
]
.
W
h
en
a
n
R
FID
r
ea
d
er
m
is
s
ed
d
etec
tin
g
a
ta
g
,
it
w
ill
a
f
f
ec
t
t
h
e
d
ata
in
teg
r
it
y
o
f
t
h
e
s
y
s
te
m
.
T
h
e
s
y
s
te
m
w
il
l
s
e
n
d
a
n
i
n
co
r
r
ec
t
d
ata
to
th
e
b
ac
k
en
d
p
r
o
ce
s
s
i
n
g
an
d
it
w
i
ll
f
ee
d
u
s
er
w
it
h
m
is
lead
in
g
r
ep
o
r
ts
.
Fo
r
ex
a
m
p
l
e,
in
a
s
u
p
er
m
ar
k
et,
th
e
r
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er
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in
s
tal
led
o
n
a
r
ac
k
to
r
ea
d
all
th
e
tag
g
ed
ite
m
s
[
9
]
,
[
1
0
]
.
W
h
en
a
r
ea
d
er
m
is
s
e
s
r
ea
d
in
g
t
h
e
ite
m
s
,
it
w
i
ll
f
ee
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t
h
e
s
y
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te
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w
it
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t
h
e
in
co
r
r
ec
t
to
tal
w
h
ic
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les
s
th
a
n
th
e
ac
t
u
al.
T
h
e
less
n
u
m
b
er
o
f
ite
m
s
w
ill
tr
ig
g
er
t
h
e
s
y
s
te
m
to
in
s
tr
u
ct
r
esp
ec
tiv
e
p
er
s
o
n
n
el
to
d
o
item
r
ep
len
i
s
h
m
e
n
t
o
n
t
h
e
r
ac
k
.
T
h
e
w
r
o
n
g
in
s
tr
u
ctio
n
h
as
b
ee
n
is
s
u
ed
h
e
r
e
b
ec
au
s
e
o
f
th
e
i
n
co
r
r
ec
t
r
ea
d
in
g
s
th
at
h
a
v
e
b
ee
n
m
ad
e
b
y
r
ea
d
er
s
.
I
n
an
o
th
er
ex
a
m
p
le,
i
n
s
o
m
e
f
ac
to
r
y
,
t
h
e
y
i
m
p
le
m
e
n
t
R
FID
to
au
to
m
a
te
th
eir
s
y
s
te
m
.
W
h
e
n
R
FID
m
is
s
r
ea
d
th
e
ite
m
m
o
v
i
n
g
o
n
t
h
e
co
n
v
e
y
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r
,
th
e
s
y
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te
m
w
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ll tr
ig
g
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r
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t a
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to
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te
m
at
th
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e
x
t sto
p
in
th
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r
o
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ctio
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.
I
n
ca
s
e
o
f
ca
r
as
s
e
m
b
l
y
p
la
n
t
[
1
1
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in
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p
ar
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f
th
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l
(
E
MD
)
[
1
3
]
an
d
Mu
l
ti
-
h
a
s
h
i
n
g
b
ased
Miss
in
g
T
ag
I
d
en
tif
icat
io
n
(
MM
T
I
)
p
r
o
to
co
l
[
1
4
]
.
H
o
w
e
v
er
,
s
i
m
p
l
y
d
etec
ti
n
g
th
e
m
is
s
i
n
g
-
ta
g
ev
e
n
t
is
n
o
t e
n
o
u
g
h
.
I
n
ad
d
itio
n
,
w
e
n
e
ed
to
o
b
tain
th
e
d
etailed
in
f
o
r
m
atio
n
ab
o
u
t th
e
m
i
s
s
i
n
g
ite
m
s
s
o
as to
as
s
ess
th
e
s
er
io
u
s
n
es
s
o
f
t
h
e
lo
s
s
a
n
d
tak
e
d
if
f
er
e
n
t c
o
u
n
ter
m
ea
s
u
r
e
s
.
2
.
1
.
B
a
ck
g
ro
un
d
B
ased
o
n
a
s
u
r
v
e
y
i
n
2
0
1
4
,
th
e
to
tal
m
ar
k
et
v
alu
e
f
o
r
R
FID
is
$
9
.
2
b
illi
o
n
an
d
i
s
e
x
p
ec
ted
to
r
ea
ch
$
3
0
.
2
4
b
illi
o
n
in
2
0
2
4
[
1
5
]
.
T
h
e
m
ain
ad
v
a
n
tag
e
o
f
R
FID
tec
h
n
o
lo
g
y
is
au
to
m
a
ted
id
en
ti
f
icatio
n
.
Ho
w
e
v
er
,
th
er
e
ar
e
s
ti
ll
p
r
o
b
le
m
s
r
eg
ar
d
in
g
R
FID
r
ea
d
in
g
in
cl
u
d
in
g
n
o
is
e,
d
u
p
licate
a
n
d
m
is
s
ed
r
ea
d
in
g
.
I
n
th
i
s
p
ap
er
,
w
e
f
o
cu
s
ed
o
n
s
o
lv
in
g
t
h
e
m
is
s
in
g
d
ata
p
r
o
b
lem
.
Mis
s
ed
r
ea
d
in
g
w
ill
ca
u
s
e
o
b
j
ec
t b
ein
g
m
is
s
ed
f
r
o
m
b
ein
g
d
etec
ted
.
Miss
in
g
tag
d
etec
tio
n
ca
n
h
ap
p
en
d
u
e
to
th
e
s
en
s
it
iv
i
t
y
o
f
R
F
I
D
tag
an
d
r
ea
d
er
p
er
f
o
r
m
a
n
ce
to
th
e
o
p
er
atin
g
e
n
v
ir
o
n
m
e
n
t [
1
6
]
.
F
i
g
u
r
e
1
i
l
l
u
s
t
r
a
t
e
s
th
e
m
is
s
in
g
tag
s
ce
n
ar
io
i
n
R
FID
s
y
s
te
m
.
T
h
e
tag
s
ca
n
b
e
m
i
s
s
ed
to
b
e
r
ea
d
at
ce
r
tain
ch
ec
k
p
o
in
t
ca
u
s
i
n
g
t
h
e
in
co
r
r
ec
t
co
u
n
t
o
f
ite
m
s
b
ein
g
r
ep
o
r
ted
to
th
e
s
y
s
te
m
.
T
h
e
m
is
s
ed
r
ea
d
co
u
ld
in
d
icate
eit
h
er
t
h
e
ite
m
s
ar
e
r
ea
ll
y
m
i
s
s
i
n
g
b
ec
au
s
e
o
f
t
h
e
f
t,
m
is
p
lace
d
o
r
s
y
s
te
m
er
r
o
r
.
I
n
th
e
n
ex
t
s
ec
tio
n
w
e
w
il
l lo
o
k
in
to
t
h
e
ex
i
s
ti
n
g
ap
p
r
o
ac
h
es.
I
t
e
m
f
r
o
m
t
h
e
s
u
p
p
l
i
e
r
R
e
c
e
i
v
i
n
g
I
t
e
m
s
D
o
o
r
R
e
a
d
e
r
I
t
e
m
C
I
t
e
m
B
I
t
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m
A
U
n
d
e
t
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c
t
e
d
i
t
e
m
C
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t
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m
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m
A
S
h
i
p
p
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I
t
e
m
s
D
o
o
r
R
e
a
d
e
r
W
a
r
e
h
o
u
s
e
E
x
i
t
D
o
o
r
R
e
a
d
e
r
W
a
r
e
h
o
u
s
e
D
o
o
r
R
e
a
d
e
r
U
n
d
e
t
e
c
t
e
d
i
t
e
m
A
I
t
e
m
B
I
t
e
m
C
I
t
e
m
C
I
t
e
m
A
U
n
d
e
t
e
c
t
e
d
i
t
e
m
B
H
o
w
m
i
s
s
i
n
g
t
a
g
s
h
a
p
p
e
n
Fig
u
r
e
1
.
R
FID
m
i
s
s
i
n
g
tag
s
s
ce
n
ar
io
2
.
2
.
Wind
o
w
Su
b
-
ra
ng
e
T
ra
ns
it
io
n De
t
ec
t
io
n (
WST
D)
I
n
W
ST
D
[
1
2
]
,
th
e
g
o
al
is
to
g
iv
e
ea
c
h
tag
o
p
p
o
r
tu
n
it
y
to
b
e
r
ea
d
w
it
h
i
n
th
e
w
i
n
d
o
w
b
y
r
ed
u
cin
g
o
r
eli
m
i
n
ate
d
r
o
p
p
ed
r
ea
d
in
g
s
.
W
ST
D
is
u
s
ed
as
a
d
ata
clea
n
in
g
m
ec
h
an
i
s
m
f
o
r
lo
w
-
le
v
el
R
FID
d
ata
p
r
o
ce
s
s
in
g
task
s
w
it
h
in
m
id
d
le
w
ar
e
s
y
s
te
m
.
W
ST
D
r
eq
u
ir
es
t
w
o
o
p
p
o
s
in
g
ap
p
licatio
n
r
eq
u
ir
e
m
e
n
ts
w
h
ic
h
ar
e
to
en
s
u
r
e
co
m
p
lete
n
e
s
s
f
o
r
th
e
s
e
t
o
f
ta
g
r
ea
d
in
g
s
d
u
e
to
tag
r
ea
d
er
s
y
s
te
m
u
n
r
eliab
ilit
y
.
L
ar
g
e
w
i
n
d
o
w
s
izes
ar
e
g
o
o
d
f
o
r
en
s
u
r
i
n
g
co
m
p
lete
n
ess
b
y
s
m
o
o
th
in
g
o
u
t
th
e
m
is
s
ed
r
ea
d
in
g
s
.
Ho
w
ev
er
,
it
’
s
n
o
t
e
f
f
ici
en
t
i
n
d
etec
ti
n
g
tag
tr
an
s
itio
n
s
.
T
h
e
s
ec
o
n
d
r
eq
u
ir
em
e
n
t
i
s
ca
p
tu
r
in
g
tag
d
y
n
a
m
ic
b
ased
o
n
tag
m
o
v
e
m
en
t
i
n
a
n
d
o
u
t
o
f
th
e
r
ea
d
er
’
s
d
etec
tio
n
r
eg
io
n
.
S
m
all
w
i
n
d
o
w
s
ize
s
ar
e
ab
le
to
d
etec
t
tag
tr
an
s
itio
n
s
,
b
u
t
t
h
e
y
a
r
e
n
o
t
ca
p
ab
le
o
f
co
m
p
e
n
s
at
in
g
th
e
m
i
s
s
ed
r
ea
d
in
g
s
.
S
m
all
w
i
n
d
o
w
lead
s
to
f
alse
n
e
g
ati
v
e
er
r
o
r
s
w
h
ic
h
t
h
e
tag
is
m
is
ta
k
en
l
y
ass
u
m
ed
to
b
e
ab
s
en
t
w
h
ile
it
ac
tu
all
y
p
r
esen
t.
Fo
r
m
is
s
in
g
ta
g
s
,
t
h
e
v
ar
iatio
n
w
it
h
i
n
th
e
w
i
n
d
o
w
also
b
ec
o
m
e
th
e
ca
u
s
e
a
n
d
n
o
t
o
n
l
y
d
u
e
to
th
e
tr
an
s
itio
n
.
T
o
r
ed
u
ce
th
e
n
u
m
b
er
o
f
f
alse
p
o
s
iti
v
es
a
n
d
f
alse
n
e
g
ati
v
e
d
u
e
to
th
e
tr
an
s
itio
n
,
t
h
e
W
ST
D
is
r
ed
u
cin
g
th
e
w
in
d
o
w
s
ize.
W
ST
D
also
s
lid
e
its
w
i
n
d
o
w
p
er
s
in
g
le
r
ea
d
cy
cle
an
d
p
r
o
d
u
ce
s
o
u
tp
u
t
b
y
r
ea
d
in
g
th
e
co
r
r
esp
o
n
d
in
g
to
t
h
e
m
id
p
o
in
t
o
f
th
e
w
i
n
d
o
w
af
ter
th
e
e
n
tire
w
i
n
d
o
w
h
a
s
b
ee
n
r
ea
d
.
I
f
t
h
e
ta
g
i
s
m
o
v
i
n
g
o
u
t
an
d
w
a
s
n
o
t
d
etec
ted
in
t
h
e
s
ec
o
n
d
h
al
f
o
f
t
h
e
w
i
n
d
o
w
s
ize,
th
e
ta
g
is
as
s
u
m
ed
ex
is
ts
i
n
th
e
d
etec
tio
n
r
an
g
e.
Ho
w
e
v
er
,
t
h
e
w
ea
k
n
es
s
is
t
h
at
t
h
e
p
r
e
m
a
tu
r
e
e
x
it
t
r
an
s
itio
n
d
etec
tio
n
w
ill
lead
t
o
a
f
al
s
e
n
eg
at
iv
e
r
ea
d
in
g
d
u
e
to
a
s
m
all
w
i
n
d
o
w
s
ize.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
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-
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I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l
.
11
,
No
.
3
,
Sep
tem
b
er
201
8
:
1
2
0
4
–
1
2
1
3
1206
2
.
3
.
E
f
f
icient
M
is
s
ing
T
a
g
Det
ec
t
io
n P
ro
t
o
co
l (
E
M
D)
P
r
o
p
o
s
ed
b
y
[
1
3
]
,
th
is
p
r
o
to
co
l
o
b
j
ec
tiv
e
is
to
r
ed
u
ce
th
e
ex
e
cu
tio
n
t
i
m
e
o
f
th
e
m
i
s
s
i
n
g
tag
d
etec
tio
n
p
r
o
to
co
l.
Fo
r
E
MD
,
th
e
s
o
lu
tio
n
is
f
o
c
u
s
i
n
g
o
n
th
e
s
i
m
i
lar
it
y
o
f
t
w
o
s
m
all
s
u
b
s
et
s
o
f
ta
g
s
i
n
a
lar
g
e
R
FI
D
s
y
s
te
m
.
T
h
e
s
i
m
i
lar
it
y
al
s
o
h
a
s
a
lar
g
e
p
r
o
b
ab
ilit
y
o
f
s
h
ar
i
n
g
a
co
m
m
o
n
ta
g
.
An
ex
a
m
p
le,
let
M
b
e
th
e
s
et
o
f
m
m
is
s
in
g
tag
s
,
K
b
e
a
s
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b
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et
o
f
k
ta
g
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th
a
t
t
h
e
r
ea
d
er
r
an
d
o
m
l
y
s
elec
ts
f
r
o
m
t
h
e
i
n
v
en
to
r
y
li
s
t
N
o
f
n
tag
s
cu
r
r
en
tl
y
i
n
t
h
e
s
y
s
te
m
.
T
h
e
r
ea
d
er
p
er
f
o
r
m
s
t
h
e
o
p
er
atio
n
t
o
v
er
if
y
t
h
e
p
r
esen
ce
o
f
t
h
ese
k
tag
s
.
T
h
e
I
Ds
o
f
th
ese
ta
g
s
it
tr
a
n
s
m
it
s
o
n
e
a
f
t
er
an
o
th
er
.
T
h
e
r
ea
d
er
w
ai
ts
f
o
r
a
s
h
o
r
t
p
er
io
d
a
n
d
lis
ten
s
f
o
r
a
r
esp
o
n
s
e
a
f
ter
tr
an
s
m
itti
n
g
an
d
I
D.
A
f
ter
th
e
tag
is
r
ec
ei
v
ed
its
I
D,
it
w
ill
ac
k
n
o
w
led
g
e
its
p
r
ese
n
ce
b
y
s
en
d
i
n
g
a
r
esp
o
n
s
e.
I
f
t
h
e
r
ea
d
er
d
o
es
n
o
t
r
ec
ei
v
e
an
y
r
esp
o
n
s
e
b
ac
k
f
r
o
m
I
D,
it
r
ep
o
r
ts
th
e
m
is
s
i
n
g
ta
g
ev
e
n
t.
I
f
k
i
s
r
ea
s
o
n
ab
l
y
lar
g
e,
K
an
d
M
w
i
ll
h
av
e
a
g
o
o
d
ch
an
ce
to
s
h
ar
e
at
least
o
n
e
co
m
m
o
n
tag
.
T
h
e
r
ea
d
er
w
ill
f
i
n
d
th
at
t
h
e
p
r
esen
ce
o
f
at
least o
n
e
ta
g
i
n
K
ca
n
n
o
t b
e
p
o
s
itiv
el
y
co
n
f
ir
m
ed
.
Hen
ce
,
th
e
m
i
s
s
i
n
g
tag
e
v
en
t i
s
d
etec
ted
.
T
h
e
E
MD
is
th
at
to
ad
d
r
ess
th
e
li
m
itatio
n
s
o
f
t
h
e
in
ter
m
ed
iate
p
r
o
to
co
l.
T
h
e
R
FID
r
ea
d
er
in
itiates
th
e
p
r
o
to
co
l
ex
ec
u
t
io
n
b
y
b
r
o
ad
ca
s
tin
g
a
p
o
llin
g
r
eq
u
e
s
t.
T
h
e
r
eq
u
est,
ea
ch
tag
d
ec
id
es
w
it
h
a
s
a
m
p
l
in
g
p
r
o
b
a
b
ilit
y
p
w
h
e
th
er
to
p
ar
ti
cip
ate
in
t
h
e
p
o
llin
g
.
I
t
w
i
ll
r
a
n
d
o
m
l
y
s
elec
t
a
s
lo
t
i
n
t
h
e
s
u
b
s
eq
u
en
ce
f
r
a
m
e
to
r
esp
o
n
d
w
h
en
it
d
ec
id
ed
to
p
a
r
ticip
ate.
I
f
it
n
o
t
to
p
ar
ticip
ate,
it
w
ill
e
n
ter
to
s
leep
m
o
d
e
an
d
tu
r
n
o
u
t
at
th
e
n
ex
t
s
c
h
ed
u
led
ti
m
e
f
o
r
th
e
p
r
o
to
co
l
ex
ec
u
tio
n
.
A
ll
t
h
e
d
ec
i
s
io
n
s
ar
e
m
ad
e
p
s
eu
d
o
-
r
an
d
o
m
l
y
a
n
d
p
r
ed
ictab
le
b
y
t
h
e
r
ea
d
er
.
Ho
w
e
v
er
,
th
e
li
m
itatio
n
s
o
f
t
h
is
p
r
o
p
o
s
ed
f
ir
s
t
ar
e
n
o
t
ti
m
e
-
ef
f
icien
t.
I
t
is
b
ec
au
s
e
it
ta
k
es
an
a
m
o
u
n
t
o
f
ti
m
e
to
v
er
i
f
y
t
h
e
p
r
ese
n
ce
o
f
ea
ch
s
e
lecte
d
tag
alt
h
o
u
g
h
a
s
u
b
s
et
o
f
ta
g
I
Ds
is
s
elec
ted
.
Seco
n
d
,
ea
ch
s
e
lecte
d
tag
m
ak
e
s
j
u
s
t
o
n
e
s
h
o
r
t
tr
a
n
s
m
is
s
io
n
,
b
u
t
i
t
h
as
to
r
ec
eiv
e
a
lar
g
e
n
u
m
b
er
o
f
b
its
w
h
ich
m
ak
e
s
th
e
ag
g
r
eg
a
te
r
ec
eiv
i
n
g
e
n
er
g
y
s
i
g
n
if
ica
n
tl
y
.
2
.
4
.
M
ulti
-
H
a
s
hin
g
B
a
s
ed
M
is
s
i
ng
T
a
g
I
dentif
ica
t
io
n (
M
M
T
I
)
T
o
in
cr
ea
s
e
th
e
p
r
o
p
o
r
tio
n
o
f
th
e
ex
p
ec
ted
s
in
g
leto
n
s
lo
t
s
is
b
y
i
m
p
r
o
v
i
n
g
t
h
e
u
til
izatio
n
o
f
ti
m
e
f
r
a
m
e.
M
u
lti
-
h
a
s
h
in
g
b
ased
Miss
i
n
g
T
ag
I
d
en
tif
icatio
n
(
MM
T
I
)
p
r
o
p
o
s
ed
b
y
[
1
4
]
is
to
r
ed
u
ce
th
e
p
r
o
p
o
r
tio
n
o
f
ex
p
ec
ted
e
m
p
t
y
s
lo
t
an
d
ex
p
ec
ted
co
llis
io
n
s
lo
t.
T
h
e
p
r
o
p
o
s
ed
ch
allen
g
e
i
s
h
o
w
t
o
g
u
ar
an
tee
t
h
at
th
e
ac
h
iev
ed
s
in
g
leto
n
s
lo
ts
w
i
ll n
o
t b
e
s
elec
t
ed
in
th
e
n
e
x
t
h
as
h
i
n
g
p
r
o
ce
s
s
.
Sp
ec
if
icall
y
,
t
h
e
s
lo
t
o
cc
u
p
ati
o
n
s
tate
s
o
f
t
h
e
f
r
a
m
e
ar
e
p
r
ed
ictab
le
to
th
e
r
ea
d
er
.
I
t
co
u
l
d
co
n
s
tr
u
c
t
w
h
ic
h
‘
1
’
i
n
d
icate
t
h
e
s
i
n
g
le
t
o
n
s
lo
t
s
t
h
at
ca
n
n
o
t
b
e
s
elec
te
d
in
th
e
n
e
x
t
h
a
s
h
in
g
p
r
o
ce
s
s
an
d
‘
0
’
in
d
icate
t
h
e
co
llis
io
n
o
r
e
m
p
t
y
s
lo
t
th
at
ca
n
b
e
s
ele
cted
in
th
e
n
ex
t
h
as
h
in
g
p
r
o
ce
s
s
.
T
h
e
r
ea
d
er
w
il
l
g
u
id
e
it
th
r
o
u
g
h
th
e
n
ex
t
h
as
h
i
n
g
p
r
o
ce
s
s
.
T
h
e
MM
T
I
is
b
ased
o
n
t
h
e
s
l
o
tted
alo
h
a
co
m
m
u
n
icatio
n
m
ec
h
an
i
s
m
.
T
h
e
co
m
m
u
n
icatio
n
b
et
w
ee
n
th
e
r
ea
d
er
an
d
tag
s
is
i
n
a
ti
m
e
-
s
lo
tted
a
w
a
y
.
T
h
e
r
ea
d
er
s
s
y
n
c
h
r
o
n
ize
t
h
e
s
lo
ts
b
y
b
r
o
ad
ca
s
tin
g
t
h
e
en
d
_
s
lo
t
co
m
m
a
n
d
.
E
ac
h
tag
h
as
a
s
l
o
t_
clo
ck
w
h
ich
i
s
in
itia
lized
w
it
h
a
r
an
d
o
m
s
lo
t
n
u
m
b
er
.
A
tag
co
u
n
ts
it
s
s
lo
t_
clo
ck
o
n
e
ea
ch
ti
m
e
w
h
e
n
th
e
r
ea
d
er
in
d
icate
s
th
a
t
th
e
cu
r
r
en
t
s
lo
t
h
as
e
n
d
ed
.
A
ta
g
r
esp
o
n
d
s
w
h
e
n
its
s
lo
t_
clo
ck
r
ea
ch
es
ze
r
o
.
I
f
ea
ch
tag
r
esp
o
n
s
e
is
at
lea
s
t
1
0
b
its
,
th
e
r
ea
d
er
ca
n
ca
teg
o
r
i
ze
th
e
t
y
p
e
o
f
s
lo
t.
First,
t
h
e
e
m
p
t
y
s
lo
t
in
w
h
ich
n
o
ta
g
r
esp
o
n
d
s
an
d
s
ec
o
n
d
is
t
h
e
co
lli
s
io
n
s
lo
t
i
n
w
h
ic
h
m
o
r
e
th
a
n
o
n
e
ta
g
r
esp
o
n
d
s
.
Oth
er
w
i
s
e,
i
f
t
h
e
ta
g
r
esp
o
n
s
e
is
les
s
t
h
an
1
0
b
it,
th
e
r
ea
d
er
s
ca
n
ca
te
g
o
r
ize
t
wo
k
in
d
t
y
p
es
o
f
t
h
e
s
lo
t
w
h
ic
h
is
id
le
s
lo
t
w
er
e
i
s
n
o
tag
r
esp
o
n
s
e
a
n
d
th
e
b
u
s
y
s
lo
t is at
least o
n
e
ta
g
r
esp
o
n
d
s
.
Ho
w
e
v
er
,
d
u
e
to
th
e
c
h
an
n
el
er
r
o
r
w
h
ic
h
is
p
at
h
lo
s
s
,
it
s
r
esp
o
n
s
e
is
n
o
t
s
e
n
s
ed
b
y
t
h
e
r
e
ad
er
,
an
d
th
en
i
t
is
w
r
o
n
g
l
y
co
n
s
id
er
ed
as
a
m
is
s
i
n
g
ta
g
.
On
t
h
e
o
th
er
h
an
d
,
if
a
n
ex
p
ec
ted
s
i
n
g
le
to
n
s
lo
t
co
r
r
esp
o
n
d
s
to
an
ac
t
u
all
y
m
is
s
in
g
ta
g
,
d
u
e
to
th
e
c
h
an
n
el
er
r
o
r
s
,
th
i
s
m
i
s
s
i
n
g
tag
is
w
r
o
n
g
l
y
v
er
if
ied
as
a
p
r
esen
t
o
n
e,
n
a
m
e
l
y
t
h
e
f
alse
n
eg
at
iv
e.
2
.
5
.
In
t
er
s
ec
t
io
n Alg
o
rit
h
m
I
n
ter
s
ec
tio
n
al
g
o
r
ith
m
[
1
7
]
is
f
o
r
co
m
p
ar
in
g
th
e
R
FID
d
ata
b
et
w
ee
n
t
h
e
t
w
o
r
ea
d
er
s
.
T
h
e
s
it
u
atio
n
th
at
o
f
te
n
h
ap
p
en
s
is
lo
w
-
p
o
w
er
h
ar
d
w
ar
e
w
h
er
e
f
al
s
e
n
e
g
ati
v
e
u
s
u
all
y
h
ap
p
en
w
h
e
n
th
e
m
u
ltip
le
ta
g
s
ar
e
d
id
n
’
t d
etec
ted
a
n
d
w
il
l c
a
u
s
e
th
e
r
ea
d
er
to
id
en
ti
f
y
i
n
g
t
h
e
c
u
r
r
en
t ta
g
s
t
h
at
f
r
eq
u
e
n
tl
y
d
r
o
p
p
ed
r
ea
d
in
g
b
y
t
h
e
r
ea
d
er
s
.
T
h
e
d
etec
tio
n
is
th
r
o
u
g
h
ti
m
e
s
lo
t
w
h
e
n
th
e
r
ea
d
er
s
ig
n
a
l
w
i
ll
o
r
g
an
ize
th
e
clo
c
k
s
o
f
tag
s
w
er
e
1
as
s
in
g
le
s
lo
t,
1
o
r
m
o
r
e
th
a
n
1
is
co
llis
io
n
s
lo
t
an
d
0
as
an
em
p
t
y
s
lo
t.
I
n
ter
s
ec
tio
n
alg
o
r
it
h
m
w
i
ll
co
m
p
ar
e
th
e
E
P
C
d
ata
b
etw
ee
n
t
h
e
t
w
o
r
ea
d
er
s
w
it
h
o
u
t i
n
cl
u
d
in
g
t
h
e
e
m
p
ty
s
lo
t f
o
r
d
etec
tin
g
t
h
e
f
al
s
e
n
eg
at
iv
e
r
ea
d
s
.
T
h
e
in
ter
s
ec
tio
n
p
la
y
s
a
r
o
le
w
h
er
e
th
e
d
ata
w
ill
s
to
r
e
b
y
s
e
ttin
g
u
p
th
e
ar
r
a
y
.
Fig
u
r
e
2
ill
u
s
tr
ate
s
t
h
e
in
ter
s
ec
tio
n
is
w
h
e
n
th
er
e
w
i
l
l
b
e
t
w
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r
ea
d
er
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as
an
i
n
p
u
t
w
h
ic
h
is
R
ea
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er
1
an
d
R
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er
2
.
B
eg
in
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r
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er
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en
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ata
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e
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t
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m
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ata
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f
R
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d
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ea
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er
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.
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d
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n
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&
C
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A
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1207
D
a
t
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e
a
d
e
r
1
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o
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e
a
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r
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t
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w
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o
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Fig
u
r
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2
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n
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s
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ata
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th
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f
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ativ
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t
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r
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d
er
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T
h
is
alg
o
r
it
h
m
is
o
n
l
y
co
m
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ar
in
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ata
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et
w
ee
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th
e
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w
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r
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d
er
s
to
f
i
n
d
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u
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f
s
a
m
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d
ata
e
x
i
s
t
i
n
b
o
th
r
ea
d
er
s
a
n
d
w
i
ll
allo
ca
te
in
to
a
n
e
w
s
et.
Af
ter
all,
th
e
al
g
o
r
i
th
m
i
s
s
elec
ted
f
o
r
to
co
m
p
ar
in
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t
h
e
d
ata
to
f
i
n
d
o
u
t
t
h
e
d
if
f
er
e
n
t
d
ata
th
at
ex
i
s
t
a
m
o
n
g
th
e
r
ea
d
er
s
.
2
.
6
.
R
-
P
RN
Alg
o
ri
t
h
m
R
-
P
R
N
al
g
o
r
it
h
m
[
1
8
]
is
u
s
ed
r
e
m
o
v
i
n
g
t
h
e
f
alse
n
eg
ativ
e
r
ea
d
s
in
t
h
e
R
FID
d
ata
r
ea
d
er
.
T
h
e
R
-
P
R
N
alg
o
r
ith
m
s
tar
ts
t
h
e
p
r
o
ce
s
s
s
et
th
e
p
r
e
-
co
n
d
iti
o
n
an
d
T
im
esta
m
p
f
o
r
th
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alg
o
r
ith
m
id
en
t
if
y
th
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s
tatu
s
o
f
R
FID
d
ata.
T
h
e
al
g
o
r
ith
m
ca
n
b
e
id
en
t
if
ied
w
h
e
n
t
h
e
s
lo
t
i
s
‘
0
’
f
o
r
e
m
p
t
y
s
l
o
t
an
d
‘
1
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f
o
r
t
h
e
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ailab
le
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lo
t.
Set
t
as
ti
m
e
f
o
r
ev
er
y
d
ata
w
h
er
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(
t
-
1
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;
t
+
1
=
1
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t
=
0
)
i
n
clu
d
i
n
g
t
h
e
p
r
ec
o
n
d
itio
n
=
1
o
r
T
im
esta
m
p
=
1
,
th
e
alg
o
r
it
h
m
w
ill
d
etec
t
th
e
d
ata
as
f
a
ls
e
n
eg
ati
v
e
r
ea
d
.
Ot
h
er
w
is
e
if
(t
-
1
=0
;
t+1
=0
;
t=1
)
in
cl
u
d
in
g
p
r
ec
o
n
d
itio
n
=
0
o
r
T
im
esta
m
p
=
1
th
e
al
g
o
r
ith
m
w
il
l d
etec
t f
al
s
e
p
o
s
itiv
e
r
ea
d
.
Fig
u
r
e
3
s
h
o
w
s
h
o
w
t
h
e
alg
o
r
ith
m
d
etec
t
s
th
e
f
alse
n
eg
at
iv
e
an
d
f
alse
p
o
s
itiv
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r
ea
d
.
Ho
w
e
v
er
,
th
i
s
alg
o
r
ith
m
i
s
u
s
ed
f
o
r
r
e
m
o
v
i
n
g
t
h
e
f
alse
n
e
g
ati
v
e
r
ea
d
s
.
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h
e
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o
r
ith
m
w
an
t
s
to
clea
n
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h
e
d
ata
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t
h
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ata
to
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ea
l
w
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h
an
o
m
alie
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f
al
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e
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eg
ati
v
e
o
f
h
ig
h
ac
cu
r
ac
y
a
n
d
les
s
co
m
p
le
x
it
y
.
I
n
th
is
r
esear
c
h
,
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e
al
g
o
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ith
m
i
s
s
elec
ted
to
m
er
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it
h
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ter
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tio
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alg
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r
it
h
m
.
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h
e
alg
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it
h
m
is
u
s
ed
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o
r
d
etec
tin
g
th
e
f
al
s
e
n
eg
at
iv
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d
s
f
r
o
m
th
e
n
e
w
s
et
o
f
d
ata
th
at
h
a
s
b
ee
n
allo
ca
t
ed
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y
th
e
i
n
ter
s
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tio
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al
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o
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ith
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a
t
a
o
f
R
e
a
d
e
r
1
D
a
t
a
o
f
R
e
a
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r
2
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e
w
S
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t
o
f
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a
t
a
C
o
m
p
a
r
i
n
g
t
h
e
d
a
t
a
(
t
-
1
=
1
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t
+
1
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1
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t
=
0
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p
r
e
c
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d
i
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m
p
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1
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t
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c
t
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d
a
t
a
a
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l
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a
t
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v
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r
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a
d
t
o
b
e
r
e
m
o
v
e
d
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t
-
1
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0
;
t
+
1
=
0
;
t
=
1
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r
e
c
o
n
d
i
t
i
o
n
=
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r
T
i
m
e
s
t
a
m
p
=
1
t
h
e
a
l
g
o
r
i
t
h
m
d
e
t
e
c
t
f
a
l
s
e
p
o
s
i
t
i
v
e
r
e
a
d
Fig
u
r
e
3
.
R
-
P
R
N
al
g
o
r
ith
m
d
e
tectin
g
th
e
f
al
s
e
n
e
g
ati
v
e
an
d
f
alse p
o
s
itiv
e
r
ea
d
3
.
+
P
RO
P
O
SE
D
AL
G
O
R
I
T
H
M
T
h
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
is
i
n
clu
d
ed
i
n
ter
s
ec
tio
n
al
g
o
r
ith
m
[
1
7
]
w
it
h
h
as
h
i
n
g
f
o
r
co
m
p
ar
i
n
g
t
h
e
R
FID
d
ata
ta
g
s
m
ea
n
w
h
i
le
R
-
P
R
N
alg
o
r
ith
m
[
1
8
]
w
i
ll u
s
e
f
o
r
d
etec
tin
g
f
alse
n
e
g
ati
v
e
r
ea
d
.
T
h
e
s
it
u
atio
n
t
h
at
o
f
ten
h
ap
p
en
s
t
h
at
f
r
eq
u
en
tl
y
d
r
o
p
p
e
d
r
ea
d
in
g
in
lo
w
-
p
o
wer
h
ar
d
w
ar
e
w
h
er
e
f
alse
n
e
g
a
tiv
e
u
s
u
all
y
h
ap
p
en
w
h
e
n
th
e
m
u
ltip
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tag
s
ca
n
n
o
t
d
etec
t.
T
h
e
in
ter
s
ec
tio
n
w
it
h
h
as
h
i
n
g
p
la
y
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a
r
o
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w
h
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e
t
h
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ata
w
ill
s
to
r
e
b
y
s
et
tin
g
u
p
t
h
e
ar
r
a
y
.
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h
e
d
escr
ip
tio
n
f
o
r
th
e
i
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ter
s
ec
tio
n
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it
h
h
a
s
h
in
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i
s
w
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e
n
s
ettin
g
a
n
a
s
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ir
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t
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r
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d
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as
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d
ar
r
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Me
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w
h
ile
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o
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th
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g
t
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o
f
t
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f
ir
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t
ar
r
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y
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et
as
n
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o
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ar
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y
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e
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g
t
h
will
s
et
a
s
m
.
I
f
(
n
=
m)
t
h
e
r
esu
l
t
w
ill b
e
eq
u
al
w
h
er
e
th
e
d
ata
f
r
o
m
n
ar
e
s
a
m
e
w
it
h
d
ata
in
m
.
Ho
w
e
v
er
,
th
e
h
as
h
i
n
g
w
il
l
h
el
p
th
e
in
ter
s
ec
tio
n
al
g
o
r
ith
m
b
e
m
o
r
e
ea
s
ier
w
h
e
n
th
e
i
=
1
w
ill
s
et
in
to
n
,
th
e
h
as
h
w
ill
co
n
tai
n
a
(
i
)
t
h
en
h
a
s
h
[
a
(
i)
]
=
h
a
s
h
[
a
(
i)
]
+
1
.
Ot
h
er
w
is
e,
a
(
i)
w
ill
b
e
m
ap
p
ed
to
1
to
th
e
h
as
h
.
Fo
r
s
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n
d
ar
r
ay
,
j
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1
w
ill
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et
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n
to
m
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w
it
h
th
e
h
as
h
co
n
tai
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b
(
j)
a
n
d
h
as
h
[
b
(
j)
]
>
1
.
T
h
en
b
(
j)
w
il
l
ap
p
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d
to
in
ter
s
ec
tio
n
w
h
er
e
h
as
h
[
b
(
j
)
=
h
a
s
h
[
b
(
j)
]
–
1
.
Ot
h
er
w
is
e,
i
f
h
as
h
b
(
j
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A
N
D
h
a
s
h
[
b
(
j)
=
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]
a
p
p
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d
in
to
in
ter
s
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tio
n
o
r
r
e
m
o
v
e
b
(
j
)
f
r
o
m
th
e
h
as
h
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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&
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Sci,
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11
,
No
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3
,
Sep
tem
b
er
201
8
:
1
2
0
4
–
1
2
1
3
1208
Af
ter
d
ata
h
as
b
ee
n
h
as
h
i
n
g
,
th
e
R
-
P
R
N
alg
o
r
ith
m
w
ill
s
tar
t
th
e
p
r
o
ce
s
s
to
id
en
tify
w
h
ich
o
n
e
o
f
th
e
d
ata
is
th
e
f
al
s
e
n
e
g
ati
v
e.
T
h
e
alg
o
r
ith
m
ca
n
b
e
id
en
ti
f
ied
w
h
e
n
th
e
s
lo
t
is
‘
0
’
f
o
r
e
m
p
t
y
s
lo
t
an
d
‘
1
’
f
o
r
th
e
av
ailab
le
s
lo
t.
Se
t
t
as
t
i
m
e
f
o
r
ev
er
y
d
ata
i
n
h
as
h
w
h
er
e
(
t
-
1
=1
;
t
+
1
=
1
;
t
=
0
)
in
c
lu
d
i
n
g
t
h
e
p
r
ec
o
n
d
itio
n
=
1
o
r
T
im
esta
m
p
=
1
,
t
h
e
al
g
o
r
ith
m
w
ill
d
etec
t
th
e
d
ata
as
f
alse
n
e
g
ati
v
e
r
ea
d
.
Ot
h
er
w
is
e
if
(t
-
1
=0
;
t+1
=0
;
t=1
)
i
n
cl
u
d
in
g
p
r
ec
o
n
d
itio
n
=
0
o
r
T
im
e
s
ta
m
p
=
1
th
e
al
g
o
r
ith
m
w
ill
d
etec
t
f
alse
p
o
s
iti
v
e
r
ea
d
.
Fig
u
r
e
5
s
h
o
w
s
t
h
e
i
n
ter
s
ec
tio
n
alg
o
r
it
h
m
w
it
h
h
as
h
i
n
g
m
er
g
e
w
it
h
th
e
R
-
P
R
N
alg
o
r
it
h
m
.
T
h
e
alg
o
r
ith
m
i
n
Fi
g
u
r
e
4
is
s
h
o
w
i
n
g
t
h
e
Mis
s
i
n
g
T
ag
Dete
ctio
n
A
l
g
o
r
ith
m
to
d
etec
t
th
e
f
al
s
e
n
eg
at
iv
e
r
ea
d
in
th
e
in
ter
s
ec
ti
o
n
s
et
s
.
Fro
m
li
n
e
1
u
n
t
il
5
i
s
th
e
i
n
ter
s
ec
t
io
n
to
p
lace
th
e
d
ata
in
to
th
e
ar
r
a
y
.
I
F
th
e
f
ir
s
t
ar
r
a
y
n
i
s
b
ig
g
er
t
h
a
n
th
e
s
ec
o
n
d
ar
r
a
y
w
h
ich
is
m
,
th
e
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ata
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i
ll
b
e
p
lace
d
i
n
to
t
h
e
in
ter
s
ec
tio
n
n
e
w
s
et.
Oth
er
w
i
s
e,
th
e
f
ir
s
t
ar
r
a
y
w
il
l
b
e
h
ash
i
n
to
th
e
h
a
s
h
tab
le.
I
n
lin
e
6
,
it
w
ill
p
r
o
ce
s
s
th
e
d
ata
in
to
th
e
h
as
h
tab
le
w
h
e
n
i
w
ill
b
e
s
et
as
1
.
L
i
n
e
7
,
th
e
d
ata
w
il
l
b
e
h
as
h
as
a(
i)
T
HE
N
th
e
a
(
i
)
h
as
b
ee
n
i
n
s
er
t
ed
in
to
th
e
e
m
p
t
y
ar
r
a
y
an
d
m
ap
i
to
1
as
s
h
o
w
i
n
li
n
e
1
0
.
I
n
lin
e
1
1
,
th
e
d
ata
w
i
ll
b
e
h
ash
t
h
e
s
ec
o
n
d
ar
r
ay
th
at
s
e
t
as
j
.
I
F
th
e
d
ata
f
r
o
m
t
h
e
m
is
co
n
t
ain
ed
b
(
j
)
A
ND
it
s
b
ig
g
er
t
h
a
n
1
,
th
e
d
ata
w
i
ll
b
e
s
en
t
to
th
e
in
ter
s
ec
tio
n
n
e
w
s
et
as
s
h
o
w
n
in
lin
e
1
3
an
d
1
4
.
Oth
er
w
i
s
e,
w
h
en
th
e
b
(
j
)
is
0
,
th
e
d
ata
w
i
ll
b
e
p
lace
d
to
t
h
e
in
ter
s
ec
tio
n
s
et
f
o
r
th
e
s
ec
o
n
d
ar
r
ay
as
s
h
o
w
n
i
n
l
in
e
1
5
an
d
1
6
.
Fro
m
th
e
lin
e
1
u
n
til
1
7
,
is
th
e
p
r
o
ce
s
s
o
f
d
at
a
to
b
e
h
ash
to
th
e
h
as
h
tab
le
an
d
s
e
n
d
it to
th
e
in
ter
s
ec
tio
n
s
et
to
b
e
co
m
p
ar
ed
.
IN
PU
T
:
R
e
a
d
e
r
1
,
R
e
a
d
e
r
2
,
R
e
a
d
e
r
3
,
R
e
a
d
e
r
4
S
T
A
T
U
S
:
0
(
n
o
t
a
v
a
i
l
a
b
l
e
)
1
(
a
v
a
i
l
a
b
l
e
)
FU
N
C
T
ION
I
n
t
e
r
s
e
c
t
i
o
n
(
n
,
m)
n
-
L
e
n
g
t
h
o
f
a
r
r
a
y
se
t
1
m
-
L
e
n
g
t
h
o
f
a
r
r
a
y
se
t
2
B
E
GIN
1:
i
n
t
e
r
se
c
t
i
o
n
-
r
e
su
l
t
i
n
g
a
r
r
a
y
2:
IF
(
n
>
m)
3:
i
n
t
e
r
se
c
t
i
o
n
=
I
n
t
e
r
se
c
t
i
o
n
(
m,
n
)
;
4:
E
L
S
E
5:
h
a
s
h
–
h
a
s
h
t
a
b
l
e
6:
E
N
D
IF
7:
FOR
i
=
1
t
o
n
8:
IF
h
a
s
h
c
o
n
t
a
i
n
s
a
(
i
)
T
HEN
9:
h
a
s
h
[
a
(
i
)
]
=
h
a
s
h
[
a
(
i
)
]
+
1
10:
E
L
S
E
11:
ADD
map
p
i
n
g
(
i
)
-
>
1
t
o
h
a
s
h
12:
E
N
D
IF
13:
E
N
D
FOR
14:
FOR
j
=
1
t
o
m
15:
IF
h
a
sh
c
o
n
t
a
i
n
s
b
(
j
)
AND
h
a
s
h
[
b
(
j
)
]
>
1
T
H
E
N
16:
b
(
j
)
t
o
i
n
t
e
r
se
c
t
i
o
n
17:
h
a
s
h
[
b
(
j
)
]
=
h
a
s
h
[
b
(
j
)
]
–
1
18:
E
L
S
E
IF
h
a
s
h
c
o
n
t
a
i
n
s
b
(
j
)
AND
h
a
s
h
[
b
(
j
)
]
=
0
T
HEN
19:
b
(
j
)
t
o
i
n
t
e
r
se
c
t
i
o
n
20:
E
N
D
IF
21:
E
N
D
FOR
22:
FOR
(
e
v
e
r
y
t
a
g
i
n
r
e
a
d
e
r
x
(
x
=
n
,
m)
a
t
t
i
me
t
)
DO
23:
IF
(
t
–
1
=
1
;
t
+
1
=
1
;
t
=
0
)
AND
(
P
r
e
c
o
n
d
i
t
i
o
n
=
1
O
R
T
i
me
st
a
m
p
=
1
)
DO
24:
R
E
T
U
R
N
“
F
a
l
s
e
N
e
g
a
t
i
v
e
t
o
b
e
d
e
t
e
c
t
e
d
”
;
25:
E
L
S
E
IF
(
t
-
1
=
0
;
t
+
1
=
0
;
t
=
1
)
AND
(
P
r
e
c
o
n
d
i
t
i
o
n
=
0
O
R
T
i
me
st
a
mp
=
0
)
26:
R
E
T
U
R
N
“
N
o
n
F
a
l
se
N
e
g
a
t
i
v
e
d
a
t
a
”
;
27:
E
N
D
IF
28:
E
N
D
FOR
29:
R
E
T
U
R
N
i
n
t
e
r
se
c
t
i
o
n
;
30:
E
N
D
E
N
D
Fig
u
r
e
4
.
Miss
i
n
g
T
ag
Dete
cti
o
n
Alg
o
r
it
h
m
(
MT
DA
)
Star
tin
g
f
r
o
m
lin
e
1
9
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n
til
2
5
,
th
e
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r
o
ce
s
s
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ill
d
etec
t
t
h
e
f
alse
n
eg
at
iv
e
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ea
d
f
r
o
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ter
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ev
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ata
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h
e
d
at
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e
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n
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g
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e
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h
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h
e
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n
d
itio
n
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et
as
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an
d
t
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as
s
h
o
w
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T
h
e
co
n
d
itio
n
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et
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i
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r
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ir
e
m
en
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h
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d
ata
w
ill
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e
lis
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f
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n
e
g
ati
v
e
r
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d
f
r
o
m
t
h
e
i
n
ter
s
ec
t
io
n
s
et
as
s
h
o
w
n
i
n
li
n
e
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.
Ho
w
e
v
er
,
if
th
e
d
ata
is
h
a
v
i
n
g
a
cr
iter
ia
t
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,
t
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an
d
t
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as
s
h
o
w
n
in
li
n
e
2
2
,
th
e
d
ata
w
ill
b
e
li
s
ted
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[
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,
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e
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s
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tio
n
p
r
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[
1
5
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,
[
2
0
]
.
As
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s
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s
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ed
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r
lier
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y
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te
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a
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o
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o
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t
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e
b
en
ef
its
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h
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v
ab
le
w
i
th
R
FID
[
2
1
]
.
4
.
SI
M
UL
AT
I
O
N
R
E
SU
L
T
T
h
e
p
u
r
p
o
s
e
o
f
t
h
i
s
s
i
m
u
lat
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is
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ce
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ch
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g
s
c
h
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m
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y
u
s
i
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g
Ma
tlab
R
2
0
1
7
b
.
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h
e
p
er
f
o
r
m
an
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o
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th
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s
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r
c
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n
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s
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e
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e
m
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s
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r
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ter
m
o
f
ti
m
e
ex
ec
u
tio
n
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d
a
cc
u
r
ac
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o
n
d
etec
ti
n
g
f
al
s
e
n
eg
ati
v
e
r
ate.
T
h
e
r
esu
lt
o
f
th
is
s
i
m
u
latio
n
w
as
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m
p
ar
ed
w
ith
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i
n
d
o
w
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b
-
r
a
n
g
e
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r
an
s
itio
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Dete
ctio
n
(
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ST
D)
,
E
f
f
icien
t
Miss
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n
g
-
T
ag
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P
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l
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ased
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g
T
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I
d
en
tif
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r
o
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s
lig
h
t
m
o
d
i
f
icati
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in
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ter
s
ec
tio
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o
r
ith
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a
n
d
R
-
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R
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alg
o
r
it
h
m
f
o
r
th
e
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is
s
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g
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ag
Dete
ctio
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l
g
o
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ith
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to
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o
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e
t
h
e
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le
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.
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a
m
p
les
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e
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r
ep
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n
d
test
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ea
ch
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o
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it
h
m
.
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h
e
r
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at
g
a
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f
r
o
m
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i
m
u
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ll
b
e
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al
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i
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ter
m
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f
ti
m
e
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ec
u
tio
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ate
o
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a
ti
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r
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d
in
g
to
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eter
m
in
e
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e
p
er
f
o
r
m
an
ce
o
f
ea
ch
alg
o
r
ith
m
.
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h
e
r
esu
lt
f
r
o
m
s
i
m
u
latio
n
h
a
s
b
ee
n
s
h
o
w
i
n
g
in
to
tab
les
a
n
d
ch
ar
t
s
.
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h
er
e
ar
e
t
w
o
cr
iter
ia
m
ea
s
u
r
in
g
f
o
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s
i
m
u
la
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:
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im
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ec
u
tio
n
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al
y
s
is
b.
T
h
e
r
at
e
o
f
f
alse n
e
g
ati
v
e
d
etec
tio
n
As
a
r
esu
lt,
th
i
s
w
ill
s
h
o
w
th
e
s
ig
n
i
f
ica
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t
o
f
th
e
d
ete
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al
s
e
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g
ativ
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te
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er
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m
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n
ce
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h
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at
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e
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i
m
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ar
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r
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u
lt
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n
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h
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r
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o
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e
th
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h
o
w
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t
h
at
th
e
p
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ed
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o
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ith
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et
th
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ad
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an
ta
g
e
o
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th
er
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g
o
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ith
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4
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1
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e
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x
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ly
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im
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ec
u
tio
n
f
o
r
d
etec
tin
g
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alse
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eg
at
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e
is
m
ea
s
u
r
e
th
r
o
u
g
h
elap
s
ed
ti
m
e
f
o
r
ev
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y
s
e
co
n
d
f
alse
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eg
at
iv
e
h
a
s
b
ee
n
d
etec
ted
f
o
r
ea
ch
al
g
o
r
ith
m
b
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s
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t
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ab
R
2
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as a
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h
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n
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u
c
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m
p
ar
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g
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ed
ti
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e
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o
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ea
ch
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er
ce
n
tag
e.
T
h
e
a
n
a
l
y
s
i
s
h
as
b
ee
n
d
iv
id
ed
b
et
w
e
en
t
h
e
f
ir
s
t
R
FID
r
ea
d
er
’
s
d
ata
s
et
a
s
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er1
,
s
ec
o
n
d
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ata
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t
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s
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g
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o
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er
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h
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s
h
o
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s
th
a
t
th
e
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ti
m
e
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et
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e
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ce
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li
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h
e
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tim
e
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th
e
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m
p
ar
is
o
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o
r
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m
h
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s
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n
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d
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e
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u
r
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o
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ate
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alse
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atio
B
esid
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at,
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h
e
d
if
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ce
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e
t
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ata
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ith
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ata
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o
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h
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ti
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e
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t
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e
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e
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h
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r
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ith
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f
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ated
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Fig
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er3
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ata
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r
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ata
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Fig
u
r
e
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s
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e
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t
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u
r
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alse
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eg
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o
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ith
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Fig
u
r
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.
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e
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u
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9
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s
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ate
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ata
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Fig
u
r
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h
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o
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f
a
s
ter
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m
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e
to
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r
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e
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tain
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s
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co
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ter
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e
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5
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CO
NCLUS
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As
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FID
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as
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[1
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Ka
m
a
lu
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in
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Ha
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a
li
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n
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H,
Je
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ms
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u
rn
a
l
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f
S
e
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so
rs 2
0
1
6
(
2
0
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6
).
[2
]
L
iu
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X
u
a
n
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Bi
n
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o
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lv
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P:
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;
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4
(1
1
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.
[3
]
Yu
,
J.,
Ch
e
n
,
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.
,
Zh
a
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g
,
R.
,
W
a
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K.,
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in
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les
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.
[4
]
De
n
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.
J.
Arc
h
it
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tu
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De
sig
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In
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2
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.
[5
]
Ev
iza
l
A
.
K,
S
h
a
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su
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in
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.
M
,
S
u
p
riy
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E.
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W
&
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sa
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In
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-
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[6
]
Ch
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T
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Op
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m
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len
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m
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y
2
0
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6
;
65
(
5
):
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3
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4
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.
[7
]
Zh
a
o
,
J.
,
L
i,
W
.
,
&
L
i,
D.
A
.
,
Id
e
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fyin
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tern
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1
.
[8
]
M
a
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,
L
in
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J.,
&
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a
n
g
,
Y.
(2
0
1
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,
Ju
n
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).
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fi
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tern
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(T
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).
2
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:
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5
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2
.
[9
]
X
io
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g
,
Z.
,
S
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n
g
,
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Y.
,
S
c
a
lera
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A
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o
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.
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En
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in
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tra
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ro
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R
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tec
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o
l
ogy
.
F
o
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r
th
In
tern
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ti
o
n
a
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EURA
S
IP
W
o
rk
sh
o
p
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RF
ID
T
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c
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n
o
lo
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y
,
2012:
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0
]
X
ie,
L
.
,
Yin
,
Y.,
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a
silak
o
s,
A
.
V
.
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&
L
u
,
S
.
M
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n
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d
a
ta:
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ll
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o
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c
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mm
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s
su
rv
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to
ri
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2
0
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4
;
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(
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),
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[1
1
]
Ch
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o
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,
M
o
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Z.
,
C
h
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&
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a
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Evaluation Warning : The document was created with Spire.PDF for Python.