I
nte
rna
t
io
na
l J
o
urna
l o
f
Rec
o
nfig
ura
ble a
nd
E
m
be
dd
e
d Sy
s
t
e
m
s
(
I
J
R
E
S)
Vo
l.
1
5
,
No
.
1
,
Ma
r
ch
20
2
6
,
p
p
.
1
1
9
~
1
2
9
I
SS
N:
2089
-
4864
,
DOI
:
1
0
.
1
1
5
9
1
/i
j
r
es
.
v
1
5
.
i
1
.
pp
1
1
9
-
129
119
J
o
ur
na
l ho
m
ep
a
g
e
:
h
ttp
:
//ij
r
es.ia
esco
r
e.
co
m
I
n
q
u
i
s
i
t
i
v
e
b
i
o
m
e
t
r
i
c
f
e
a
t
u
r
e
a
n
a
l
y
s
i
s
a
n
d
i
m
p
l
e
m
e
n
t
a
t
i
o
n
f
o
r
r
e
c
o
g
n
i
t
i
o
n
t
a
s
k
s
u
s
i
n
g
c
a
m
o
u
f
l
a
g
e
d
s
e
g
m
e
n
t
a
t
i
o
n
w
i
t
h
A
I
a
n
d
I
o
T
M
a
hes
h Sha
n
k
a
rr
a
o
P
a
t
il
1
,
H
a
rsh
a
J
.
Sa
ro
de
2
,
Abhi
j
it
B
a
nu
ba
k
o
de
3
,
P
ra
k
a
s
h T
u
k
a
r
a
m
P
a
t
il
4
,
Nut
a
n
P
a
t
il
2
,
Vij
a
y
a
k
u
m
a
r
Va
ra
da
ra
j
a
n
5
,
Deshi
nta
Arr
o
v
a
De
w
i
6
1
S
c
h
o
o
l
o
f
B
i
o
e
n
g
i
n
e
e
r
i
n
g
S
c
i
e
n
c
e
s
a
n
d
R
e
se
a
r
c
h
,
M
I
T
A
D
T
U
n
i
v
e
r
si
t
y
,
P
u
n
e
,
I
n
d
i
a
2
D
e
p
a
r
t
me
n
t
o
f
El
e
c
t
r
o
n
i
c
s a
n
d
T
e
l
e
c
o
mm
u
n
i
c
a
t
i
o
n
E
n
g
i
n
e
e
r
i
n
g
,
N
u
t
a
n
M
a
h
a
r
a
sh
t
r
a
I
n
st
i
t
u
t
e
o
f
En
g
i
n
e
e
r
i
n
g
a
n
d
T
e
c
h
n
o
l
o
g
y
,
P
u
n
e
,
I
n
d
i
a
3
D
e
p
a
r
t
me
n
t
o
f
C
o
m
p
u
t
e
r
S
c
i
e
n
c
e
a
n
d
E
n
g
i
n
e
e
r
i
n
g
,
P
i
m
p
r
i
C
h
i
n
c
h
w
a
d
U
n
i
v
e
r
si
t
y
,
P
u
n
e
,
I
n
d
i
a
4
D
e
p
a
r
t
me
n
t
o
f
El
e
c
t
r
o
n
i
c
s a
n
d
T
e
l
e
c
o
mm
u
n
i
c
a
t
i
o
n
E
n
g
i
n
e
e
r
i
n
g
,
Jay
a
w
a
n
t
r
a
o
S
a
w
a
n
t
C
o
l
l
e
g
e
o
f
En
g
i
n
e
e
r
i
n
g
,
P
u
n
e
,
I
n
d
i
a
5
S
w
i
ss Sch
o
o
l
o
f
B
u
s
i
n
e
ss
a
n
d
M
a
n
a
g
e
me
n
t
,
G
e
n
e
v
a
,
S
w
i
z
e
r
l
a
n
d
6
F
a
c
u
l
t
y
o
f
D
a
t
a
S
c
i
e
n
c
e
a
n
d
I
n
f
o
r
mat
i
o
n
T
e
c
h
n
o
l
o
g
y
,
I
N
TI
I
n
t
e
r
n
a
t
i
o
n
a
l
U
n
i
v
e
r
si
t
y
,
N
i
l
a
i
,
M
a
l
a
y
si
a
Art
icle
I
nfo
AB
ST
RAC
T
A
r
ticle
his
to
r
y:
R
ec
eiv
ed
J
an
7
,
2
0
2
5
R
ev
i
s
ed
J
u
n
1
0
,
2
0
2
5
A
cc
ep
ted
J
an
2
6
,
2
0
2
6
A
v
it
a
l
ro
le
in
re
c
o
n
f
ig
u
ra
b
le
a
n
d
e
m
b
e
d
d
e
d
s
y
ste
m
s
w
h
ich
a
re
d
e
p
lo
y
e
d
in
s
m
a
rt
e
n
v
iro
n
e
m
e
n
ts
a
n
d
h
e
a
lt
h
c
a
re
m
o
n
it
o
rin
g
a
p
p
li
c
a
ti
o
n
s
is
p
lay
e
d
b
y
h
u
m
a
n
a
c
ti
v
it
y
re
c
o
g
n
it
io
n
(H
A
R).
Ho
w
e
v
e
r,
th
e
p
o
ten
ti
a
l
l
e
a
k
a
g
e
o
f
se
n
siti
v
e
u
se
r
a
tt
ri
b
u
tes
ra
ise
s
se
ri
o
u
s p
riv
a
c
y
issu
e
s
d
u
e
t
o
c
o
ll
e
c
ti
o
n
o
f
d
a
ta
f
ro
m
th
e
e
n
d
d
e
v
ice
s
a
n
d
it
n
e
e
d
s
to
b
e
tran
sm
it
ted
to
m
o
re
p
o
w
e
rf
u
l
p
latf
o
rm
s
f
o
r
in
f
e
re
n
c
e
.
A
d
d
re
ss
in
g
th
is
k
e
y
c
h
a
ll
e
n
g
e
is
p
rin
c
i
p
a
l
ly
c
ru
c
ial
f
o
r
re
so
u
rc
e
-
c
o
n
stra
in
e
d
e
m
b
e
d
d
e
d
s
y
ste
m
s
w
h
e
r
e
e
ff
icie
n
c
y
o
f
e
n
e
rg
y
is
a
c
h
ief
d
e
sig
n
re
q
u
irem
e
n
t.
T
h
e
a
im
o
f
th
is
p
a
p
e
r
is
p
re
se
n
t
a
n
e
n
e
rg
y
-
a
wa
re
,
p
riv
a
c
y
-
p
re
se
r
v
in
g
HA
R
f
ra
m
e
wo
rk
a
p
p
r
o
p
r
iate
f
o
r
lo
w
-
p
o
w
e
r
e
m
b
e
d
d
e
d
p
latf
o
rm
s.
A
m
a
c
h
in
e
lea
rn
in
g
–
b
a
se
d
c
a
m
o
u
f
la
g
e
d
sig
n
a
l
se
g
m
e
n
tatio
n
tec
h
n
iq
u
e
is
p
ro
p
o
se
d
to
tran
sf
o
rm
th
e
d
a
ta
c
o
ll
e
c
ted
f
ro
m
th
e
se
n
so
r
b
y
e
li
m
in
a
ti
n
g
se
n
siti
v
e
in
f
o
r
m
a
ti
o
n
w
h
il
e
p
re
se
r
v
in
g
a
c
ti
v
it
y
-
re
le
v
a
n
t
fe
a
tu
re
s.
F
o
r
c
h
a
ra
c
teriz
a
ti
o
n
o
f
trad
e
o
ff
b
e
twe
e
n
th
e
e
n
e
rg
y
c
o
n
su
m
p
ti
o
n
a
n
d
a
c
c
u
ra
c
y
o
f
re
c
o
g
n
it
io
n
,
p
a
ra
m
e
ters
a
re
e
x
ten
siv
e
l
y
tu
n
e
d
b
y
c
a
r
e
f
u
l
o
p
ti
m
iza
ti
o
n
in
t
h
is
p
ro
p
o
se
d
m
o
d
e
l.
Ex
p
e
rim
e
n
tal
e
v
a
lu
a
ti
o
n
s
d
e
m
o
n
stra
te
th
a
t
t
h
e
m
e
th
o
d
sig
n
if
ica
n
tl
y
re
d
u
c
e
s
t
h
e
i
n
f
e
re
n
c
e
o
f
se
n
siti
v
e
a
tt
rib
u
tes
su
c
h
a
s
g
e
n
d
e
r,
a
g
e
,
h
e
ig
h
t,
a
n
d
w
e
ig
h
t,
w
it
h
m
in
im
a
l
i
m
p
a
c
t
o
n
HA
R
a
c
c
u
ra
c
y
.
F
u
rth
e
rm
o
re
,
th
e
sy
ste
m
su
p
p
o
rts
c
o
n
f
ig
u
ra
b
le
trad
e
-
o
f
f
s
b
e
twe
e
n
e
n
e
rg
y
u
sa
g
e
a
n
d
c
las
sif
i
c
a
ti
o
n
p
e
rf
o
rm
a
n
c
e
,
m
a
k
in
g
it
su
it
a
b
le
f
o
r
im
p
le
m
e
n
tatio
n
o
n
lo
w
-
p
o
w
e
r
e
m
b
e
d
d
e
d
d
e
v
ice
s.
K
ey
w
o
r
d
s
:
B
io
m
etr
ic
r
ec
o
g
n
itio
n
C
a
m
o
u
f
lag
ed
s
e
g
m
en
tatio
n
L
o
w
-
p
o
w
er
in
ter
n
et
o
f
t
h
i
n
g
s
d
ev
ices
Ma
ch
i
n
e
-
lear
n
i
n
g
P
r
o
ce
s
s
in
n
o
v
at
io
n
T
h
is i
s
a
n
o
p
e
n
a
c
c
e
ss
a
rticle
u
n
d
e
r th
e
CC B
Y
-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
Ma
h
es
h
S
h
an
k
ar
r
ao
P
atil
Sch
o
o
l o
f
B
io
en
g
i
n
ee
r
i
n
g
Scie
n
ce
s
a
n
d
R
esear
ch
,
MI
T
A
DT
Un
i
v
er
s
it
y
P
u
n
e,
I
n
d
ia
E
m
ail:
m
p
in
k
.
p
atil
@
g
m
ai
l.c
o
m
1.
I
NT
RO
D
UCT
I
O
N
T
h
e
in
cr
ea
s
e
in
as
s
o
ciate
d
w
ea
r
ab
le
d
ev
ices
h
as
e
x
p
er
ien
c
ed
n
o
te
w
o
r
th
y
s
tr
id
es
in
la
s
t
f
e
w
y
ea
r
s
b
ec
au
s
e
o
f
s
u
b
s
ta
n
tial
tech
n
i
ca
l
d
ev
elo
p
m
en
t
s
i
n
d
esig
n
o
f
s
y
s
te
m
-
on
-
ch
ip
(
So
C
)
.
T
h
e
w
ea
r
ab
le
d
ev
ice
s
m
ar
k
et
s
ize
h
a
s
to
u
c
h
ed
th
e
7
1
.
9
1
b
illi
o
n
USD
in
t
h
e
y
ea
r
2
0
2
3
,
th
is
is
ac
co
r
d
in
g
to
th
e
m
ar
te
r
ep
o
r
t
o
f
w
ea
r
ab
le
tec
h
n
o
lo
g
y
[
1
]
,
[
2
]
.
A
w
id
e
r
an
g
e
o
f
p
r
o
d
u
cts
s
u
c
h
as
h
ea
r
i
n
g
aid
s
,
te
x
tile
s
,
p
at
ch
es,
r
i
n
g
s
,
le
n
s
e
s
,
h
el
m
ets,
s
h
o
e
s
,
ch
e
s
t
s
tr
ap
s
,
s
m
ar
tb
an
d
s
,
an
d
s
m
ar
t
w
atch
e
s
ar
e
en
co
m
p
ass
ed
b
y
w
ea
r
a
b
le
d
ev
ices.
O
u
t
o
f
th
ese,
v
ast
m
aj
o
r
ity
o
f
cu
r
r
en
t
m
ar
k
et
i
s
co
v
er
ed
b
y
t
h
e
s
m
ar
tb
an
d
s
a
n
d
s
m
ar
t
w
atc
h
es
[
3
]
.
Fro
m
t
h
e
p
er
s
p
ec
tiv
e
o
f
th
e
h
ar
d
w
ar
e,
m
u
ltip
le
co
r
e
p
r
o
ce
s
s
o
r
s
o
f
6
4
b
it
ar
e
f
o
u
n
d
in
tr
ad
itio
n
al
s
m
ar
t
w
atc
h
es
to
3
2
-
b
it
o
r
1
6
-
b
it
en
er
g
y
ef
f
icie
n
t
m
i
cr
o
co
n
tr
o
ller
s
ex
is
ts
i
n
r
in
g
s
,
s
h
o
es,
s
m
ar
tb
an
d
s
an
d
o
th
er
s
i
m
ilar
d
ev
ice
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
9
-
4864
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
,
Vo
l.
1
5
,
No
.
1
,
Ma
r
c
h
202
6
:
1
1
9
-
129
120
Gath
er
i
n
g
o
f
h
u
g
e
a
m
o
u
n
ts
o
f
in
f
o
r
m
atio
n
lead
b
y
ac
ce
p
tan
ce
o
f
w
ea
r
ab
le
in
ter
n
et
o
f
t
h
in
g
s
(
I
o
T
)
d
ev
ices
w
h
ic
h
en
ab
les ad
v
an
ce
d
ap
p
licatio
n
s
i
n
d
if
f
er
en
t a
r
ea
s
[
4
]
.
Sig
n
i
f
ica
n
t
atte
n
tio
n
a
m
o
n
g
th
ese
g
i
v
en
ap
p
licatio
n
s
h
as
g
ain
ed
b
y
h
u
m
a
n
ac
ti
v
it
y
r
ec
o
g
n
itio
n
(
HAR)
b
ec
au
s
e
o
f
its
ca
p
ab
ilit
y
i
n
e
ld
er
l
y
ca
r
e
[
5
]
,
h
ea
lth
ca
r
e
m
o
n
i
to
r
in
g
a
n
d
s
m
ar
t
h
o
m
e
s
s
y
s
te
m
s
[
6
]
.
W
ith
th
e
s
tar
t
o
f
v
o
ice
a
s
s
i
s
ta
n
ts
,
‘
‘
th
e
e
r
a
o
f
u
b
iq
u
ito
u
s
l
i
s
te
n
in
g
’
’
[
7
]
in
2
0
1
4
d
ef
i
n
e
d
b
y
MI
T
,
th
at
s
u
f
f
er
f
r
o
m
r
is
k
s
o
f
p
r
iv
ac
y
ar
i
s
i
n
g
f
r
o
m
2
ca
u
s
es,
i
)
s
h
ar
in
g
o
f
r
a
w
a
u
d
io
s
ig
n
al
f
r
o
m
t
h
e
s
er
v
ice
p
r
o
v
id
er
s
o
f
clo
u
d
th
at
m
a
y
ele
v
ate
i
n
f
er
e
n
ce
attac
k
s
p
o
ten
tial
an
d
ii
)
s
e
n
s
it
iv
e
p
ar
a
lin
g
u
i
s
tic
in
f
o
r
m
at
io
n
co
n
tain
ed
b
y
th
o
s
e
s
i
g
n
a
ls
[
8
]
.
I
n
d
ee
d
,
p
ar
alin
g
u
i
s
tic
i
n
f
o
r
m
at
io
n
ca
n
b
e
u
s
ed
b
y
m
o
d
els
o
f
d
ee
p
ac
o
u
s
tic
f
o
r
in
f
e
r
r
in
g
s
e
n
s
itiv
e
a
n
d
p
er
s
o
n
al
d
ata
lik
e
h
ea
lt
h
s
tat
u
s
,
et
h
n
ici
t
y
,
m
o
o
d
,
ag
e,
g
e
n
d
er
an
d
s
p
ea
k
er
id
en
tit
y
.
Fo
r
u
s
i
n
g
‘
‘
th
e
e
r
a
o
f
u
b
iq
u
ito
u
s
l
is
ten
i
n
g
’
’
i
n
p
ar
allelis
m
in
H
AR
d
o
m
ai
n
,
it
ca
n
b
e
s
aid
th
at
w
e
ar
e
co
m
i
n
g
i
n
‘
‘
t
h
e
e
r
a
o
f
u
b
iq
u
ito
u
s
m
o
t
io
n
t
r
ac
k
in
g
’
’
.
Ser
i
o
u
s
co
n
ce
r
n
s
r
eg
ar
d
i
n
g
i
n
d
i
v
id
u
al
p
r
iv
ac
y
ar
e
r
aised
b
ec
au
s
e
o
f
tr
e
m
en
d
o
u
s
a
m
o
u
n
t
o
f
p
er
s
o
n
al
in
f
o
r
m
a
tio
n
is
ca
p
t
u
r
ed
b
y
th
e
s
e
d
ev
ices
w
h
ic
h
in
te
g
r
ate
m
u
ltip
le
s
en
s
o
r
s
lik
e
m
ag
n
eto
m
e
ter
s
,
g
y
r
o
s
co
p
es
an
d
ac
ce
ler
o
m
eter
s
.
Fo
r
ex
a
m
p
le,
t
h
e
d
ata
ca
p
tu
r
ed
b
y
th
e
s
e
d
ev
ices
ar
e
co
n
tin
u
o
u
s
l
y
tr
a
n
s
m
itted
to
a
r
em
o
te
s
er
v
er
f
o
r
id
e
n
tific
at
io
n
o
f
u
s
er
ac
tiv
itie
s
lik
e
r
u
n
n
in
g
,
j
o
g
g
in
g
,
an
d
w
al
k
i
n
g
.
Ho
w
ev
er
,
di
f
f
er
en
t
f
ac
to
r
s
s
u
c
h
a
s
w
ei
g
h
t,
g
en
d
er
an
d
ag
e
o
f
a
n
in
d
i
v
id
u
al
p
la
y
r
o
le
w
h
e
n
t
h
e
y
p
er
f
o
r
m
t
h
e
ac
ti
v
itie
s
d
if
f
er
e
n
tl
y
.
Fo
r
i
n
s
ta
n
ce
,
a
p
er
s
o
n
m
a
y
w
al
k
s
lo
w
er
i
f
h
is
b
o
d
y
w
ei
g
h
t
is
h
i
g
h
co
m
p
ar
ed
to
a
p
er
s
o
n
h
a
v
i
n
g
lo
w
er
b
o
d
y
w
eig
h
t.
Dete
r
m
i
n
atio
n
o
f
p
er
s
o
n
al
in
f
o
r
m
at
io
n
lik
e
h
eig
h
t,
g
en
d
er
,
ag
e
an
d
w
ei
g
h
t
ca
n
b
e
allo
w
ed
to
b
e
in
ter
p
r
eted
b
y
th
e
s
en
s
o
r
s
ig
n
al
w
it
h
o
u
t
u
s
er
’
s
ex
p
licit
p
er
m
i
s
s
io
n
o
r
co
n
s
cio
u
s
p
ar
ticip
atio
n
w
h
ic
h
b
ec
o
m
e
s
a
p
o
s
s
ib
le
r
is
k
i
n
s
p
ite
o
f
b
ein
g
g
en
er
all
y
p
er
ce
iv
ed
as
n
o
n
-
th
r
ea
ten
in
g
[
9
]
–
[
1
1
]
.
Sen
s
o
r
’s
d
ata
tr
an
s
m
is
s
io
n
d
i
r
ec
tl
y
w
it
h
o
u
t
m
ea
s
u
r
es
o
f
p
r
o
tectio
n
o
f
p
r
iv
ac
y
is
n
o
t
a
cc
ep
ted
to
s
af
e
g
u
a
r
d
p
r
iv
ac
y
.
Ho
w
ev
er
,
ac
tiv
it
y
r
ec
o
g
n
itio
n
ac
cu
r
a
c
y
m
ai
n
te
n
an
ce
is
cr
u
cial
s
o
as
n
o
t
to
m
a
k
e
ap
p
licatio
n
u
n
u
s
ab
le.
P
r
iv
ac
y
p
r
eser
v
atio
n
tec
h
n
iq
u
e
s
ar
e
s
u
r
v
e
y
ed
b
y
An
t
w
i
-
B
o
asia
k
o
e
t
a
l
.
[
1
2
]
in
r
ec
en
t
ti
m
e
s
i
n
d
is
tr
ib
u
ted
d
ee
p
lear
n
in
g
.
Sev
er
al
s
ta
g
es
g
i
v
e
r
i
s
e
to
is
s
u
es
o
f
p
r
i
v
ac
y
in
s
u
ch
s
ce
n
ar
io
s
li
k
e
m
o
d
el
tr
ain
i
n
g
,
f
ea
t
u
r
e
ex
tr
ac
tio
n
an
d
d
ataset
cr
ea
tio
n
.
I
s
s
u
es
o
f
p
r
iv
ac
y
at
th
e
tr
ai
n
i
n
g
s
ta
g
es
a
r
e
f
o
cu
s
ed
o
n
t
h
i
s
s
tu
d
y
alt
h
o
u
g
h
s
o
m
e
p
r
iv
ac
y
co
n
ce
r
n
s
ar
e
h
ig
h
li
g
h
ted
w
h
ich
m
ig
h
t
ap
p
ea
r
at
th
e
i
n
f
er
en
ce
s
ta
g
e.
Sec
u
r
e
m
u
lti
-
p
ar
t
y
co
m
p
u
tat
io
n
s
(
S
MP
C
)
,
d
if
f
er
en
tial
p
r
iv
ac
y
(
DP
)
,
an
d
h
o
m
o
m
o
r
p
h
ic
en
cr
y
p
tio
n
(
HE
)
ar
e
m
en
tio
n
ed
b
y
au
th
o
r
s
a
s
m
eth
o
d
s
o
f
p
r
iv
ac
y
p
r
eser
v
ati
o
n
.
Ho
w
ev
er
,
it
is
i
m
p
o
r
ta
n
t
to
h
i
g
h
li
g
h
t
t
h
at
C
a
m
o
u
f
lag
ed
s
e
g
m
e
n
tat
io
n
an
d
g
en
er
ati
v
e
ad
v
er
s
a
r
ial
n
e
t
w
o
r
k
s
(
G
A
Ns)
ar
e
f
e
w
e
x
a
m
p
les
o
f
p
r
iv
ac
y
p
r
eser
v
atio
n
s
tr
ate
g
ie
s
e
m
p
lo
y
ed
.
P
er
tu
r
b
atio
n
an
d
tr
an
s
f
o
r
m
atio
n
m
et
h
o
d
s
m
a
y
b
e
g
r
o
u
p
ed
w
it
h
all
t
h
ese
m
et
h
o
d
s
.
Fo
r
p
r
iv
ac
y
ad
v
a
n
ce
m
en
t
in
v
ar
io
u
s
d
o
m
ai
n
s
o
f
a
p
p
licatio
n
s
u
c
h
a
s
f
ac
e
d
e
-
id
e
n
ti
f
icatio
n
[
1
3
]
an
d
s
p
ee
ch
r
ec
o
g
n
it
io
n
[
8
]
ar
e
l
o
o
k
ed
b
y
ac
ce
p
tin
g
ca
m
o
u
f
la
g
ed
s
eg
m
e
n
tatio
n
.
C
a
m
o
u
f
lag
e
d
s
eg
m
e
n
tatio
n
ar
e
n
eu
r
al
n
et
w
o
r
k
s
o
f
n
e
u
r
al
w
h
i
ch
ar
e
p
lan
n
ed
to
w
r
ap
(
en
co
d
e)
th
e
in
p
u
t
in
to
a
telli
n
g
r
ep
r
esen
tat
io
n
,
an
d
in
a
s
u
b
s
eq
u
en
t
p
h
a
s
e
d
ec
o
d
in
g
o
f
in
p
u
t
is
d
o
n
e
in
a
w
a
y
t
h
at
o
u
tp
u
t
is
s
a
m
e
as
m
u
c
h
as
p
o
s
s
ib
le
to
th
e
o
r
ig
in
a
l
in
p
u
t.
In
B
an
k
et
a
l
.
[
1
4
]
,
m
o
s
t
u
s
ed
ca
m
o
u
f
la
g
ed
s
eg
m
e
n
tatio
n
tec
h
n
iq
u
e
is
s
u
r
v
e
y
ed
b
y
au
t
h
o
r
s
in
th
i
s
ar
ticle,
th
at
h
i
g
h
li
g
h
t
s
tech
n
iq
u
e
o
f
r
eg
u
lar
izatio
n
i.e
.
,
m
ea
n
in
g
f
u
l
n
es
s
o
f
co
m
p
r
ess
ed
r
ep
r
esen
tat
io
n
o
f
i
n
p
u
t
is
en
s
u
r
ed
b
y
ca
m
o
u
f
lag
ed
s
e
g
m
en
tatio
n
.
T
o
tak
e
b
en
ef
it
s
o
f
b
o
th
t
h
e
m
et
h
o
d
o
lo
g
ies,
G
A
N
s
[
1
5
]
,
o
th
er
m
eth
o
d
s
ar
e
u
s
ed
in
co
m
b
in
atio
n
o
f
C
a
m
o
u
f
lag
ed
s
e
g
m
e
n
tatio
n
.
C
a
m
o
u
f
la
g
ed
s
eg
m
en
tatio
n
ap
p
licatio
n
f
o
r
en
h
a
n
ce
m
en
t
o
f
p
r
iv
ac
y
i
n
in
d
icato
r
s
f
r
o
m
s
e
n
s
o
r
s
is
n
o
t
a
n
o
v
el
co
n
tr
ib
u
tio
n
;
b
u
t
i
n
th
e
p
r
ev
io
u
s
s
tu
d
ie
s
f
o
cu
s
w
a
s
g
i
v
en
o
n
s
u
g
g
e
s
ti
n
g
m
ec
h
a
n
i
s
m
o
f
tr
a
n
s
f
o
r
m
at
io
n
o
f
d
ata
to
an
o
n
y
m
izi
n
g
i
n
f
o
r
m
atio
n
o
f
s
e
n
s
o
r
[
1
6
]
–
[
1
8
]
,
w
h
er
ea
s
t
h
es
e
m
ec
h
a
n
i
s
m
s
ar
e
e
m
p
lo
y
ed
b
y
o
th
er
s
f
o
r
an
o
n
y
m
i
zin
g
a
s
i
n
g
le
s
e
n
s
iti
v
e
v
ar
iab
le,
s
u
ch
a
s
g
en
d
er
[
1
9
]
.
T
h
e
d
esig
n
o
f
a
m
u
ltip
le
attr
ib
u
tes
o
b
f
u
s
ca
to
r
n
o
t
co
n
s
id
er
ed
b
y
th
o
s
e
w
o
r
k
s
n
o
r
d
o
th
e
y
ad
d
r
ess
d
ep
lo
y
m
en
t
o
f
s
u
c
h
s
y
s
te
m
s
o
n
r
ea
l,
lo
w
-
p
o
w
er
,
r
eso
u
r
ce
-
co
n
s
tr
ai
n
ed
d
ev
ices;
h
e
n
ce
,
o
v
er
s
ee
in
g
o
b
f
u
s
c
atio
n
ti
m
e
f
ac
to
r
s
o
f
en
er
g
y
co
n
s
u
m
p
t
io
n
.
A
n
en
er
g
y
-
e
f
f
icie
n
t
s
tr
ateg
y
f
o
r
p
r
iv
a
c
y
p
r
eser
v
atio
n
d
ev
o
ted
to
d
e
v
ices
co
n
s
tr
ain
ed
o
f
lo
w
p
o
w
er
is
p
r
o
p
o
s
ed
in
th
is
ar
ticle
an
d
w
h
ic
h
is
b
ased
o
n
m
ac
h
in
e
-
le
ar
n
in
g
.
Hig
h
ac
cu
r
ac
y
is
m
ai
n
tai
n
ed
in
ac
tiv
it
y
r
ec
o
g
n
itio
n
w
h
ile
co
v
er
in
g
u
s
er
’
s
s
e
n
s
iti
v
e
in
f
o
r
m
a
tio
n
C
a
m
o
u
f
la
g
ed
s
eg
m
e
n
tati
o
n
ar
e
tr
ain
ed
.
T
h
e
co
n
v
e
n
tio
n
al
w
o
r
k
in
g
o
f
b
io
m
etr
ic
w
it
h
A
I
an
d
I
o
T
is
s
u
m
m
ar
is
ed
in
Fig
u
r
e
1
.
T
h
e
f
lo
w
ch
ar
t
r
ep
r
esen
ts
t
h
e
co
n
v
e
n
tio
n
al
w
o
r
k
i
n
g
o
f
a
b
io
m
etr
ic
f
ac
e
r
ec
o
g
n
itio
n
–
b
ased
ac
ce
s
s
co
n
tr
o
l
s
y
s
te
m
.
T
h
e
p
r
o
ce
s
s
b
eg
i
n
s
w
h
e
n
a
p
er
s
o
n
s
ta
n
d
s
i
n
f
r
o
n
t
o
f
t
h
e
ca
m
er
a
a
n
d
a
f
ac
ial
i
m
a
g
e
i
s
ca
p
tu
r
ed
.
T
h
e
ac
q
u
ir
ed
i
m
a
g
e
is
t
h
e
n
co
m
p
ar
ed
w
it
h
t
h
e
s
to
r
ed
f
ac
ial
te
m
p
lat
es
av
ailab
le
i
n
t
h
e
d
atab
ase.
A
d
ec
is
io
n
m
o
d
u
le
ev
al
u
ate
s
w
h
et
h
er
th
e
ca
p
t
u
r
ed
f
ac
e
m
atc
h
es
an
ex
i
s
ti
n
g
r
ec
o
r
d
.
I
f
a
m
atc
h
is
co
n
f
ir
m
ed
,
ac
ce
s
s
is
g
r
an
ted
b
y
u
n
lo
ck
i
n
g
th
e
d
o
o
r
an
d
th
e
p
r
o
ce
s
s
ter
m
in
ate
s
.
I
f
n
o
m
atc
h
is
f
o
u
n
d
,
ac
ce
s
s
is
d
en
ied
an
d
th
e
s
y
s
te
m
e
n
d
s
t
h
e
au
th
e
n
ti
ca
tio
n
atte
m
p
t.
Fo
r
p
r
ev
en
tio
n
o
f
u
n
d
es
ir
ab
le
i
m
p
licatio
n
s
o
f
v
ar
io
u
s
attr
ib
u
tes
o
f
p
r
iv
ac
y
s
u
c
h
as
ag
e,
w
ei
g
h
t
,
h
eig
h
t
,
a
n
d
g
en
d
er
f
r
o
m
i
n
e
r
tial
s
e
n
s
o
r
s
s
ig
n
al
ac
q
u
is
iti
o
n
;
ex
a
m
i
n
atio
n
o
f
p
r
o
p
o
s
ed
m
et
h
o
d
o
lo
g
y
a
n
d
ar
ch
itect
u
r
e
o
f
m
o
d
el
is
i
n
v
esti
g
a
ted
v
ia
p
ar
a
m
eter
t
u
n
i
n
g
i
s
p
r
o
v
id
ed
;
p
o
s
s
ib
ilit
y
o
f
tr
an
s
f
er
r
in
g
t
h
is
ar
ch
itect
u
r
e
o
n
s
y
s
te
m
s
o
f
co
n
s
tr
ain
ts
is
d
e
m
o
n
s
tr
ated
o
n
r
ea
l
lo
w
p
o
w
er
p
latf
o
r
m
f
o
r
ca
m
o
u
f
la
g
ed
s
eg
m
e
n
tatio
n
o
b
f
u
s
ca
tio
n
;
ef
f
icac
y
an
d
ef
f
ec
ti
v
en
e
s
s
o
f
o
u
r
m
et
h
o
d
alo
n
g
w
it
h
v
ar
io
u
s
d
i
m
en
s
io
n
s
s
u
c
h
as
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
I
SS
N:
2089
-
4864
I
n
q
u
is
itive
b
io
metric fe
a
tu
r
e
a
n
a
lysi
s
a
n
d
imp
leme
n
ta
tio
n
fo
r
r
ec
o
g
n
itio
n
…
(
Ma
h
esh
S
h
a
n
ka
r
r
a
o
P
a
til
)
121
co
n
s
u
m
p
tio
n
o
f
en
er
g
y
,
ca
p
ab
ilit
ies
o
f
p
r
iv
ac
y
p
r
eser
v
a
ti
o
n
an
d
H
AR
m
o
d
el
’
s
ac
c
u
r
a
c
y
i
s
c
h
ar
ac
ter
is
ed
u
s
i
n
g
w
id
e
ex
p
er
i
m
e
n
t se
ts
.
T
h
e
o
r
g
an
izatio
n
o
f
th
i
s
p
ap
er
is
m
en
tio
n
ed
h
er
e:
s
u
m
m
ar
iz
e
cu
r
r
en
t
s
tate
-
of
-
t
h
e
-
ar
t
r
esea
r
ch
r
elate
d
to
o
u
r
s
tu
d
y
i
n
s
ec
tio
n
2
;
i
n
s
ec
tio
n
3
,
w
e
in
tr
o
d
u
ce
t
h
e
lear
n
in
g
ar
ch
itect
u
r
e
an
d
s
y
s
t
e
m
d
esi
g
n
c
h
o
ices
p
r
o
p
o
s
ed
as a
s
o
lu
tio
n
;
in
s
ec
t
io
n
4
,
w
e
ill
u
s
tr
ate
th
e
ex
p
er
i
m
en
tal
s
e
tu
p
ad
o
p
ted
f
o
r
p
er
f
o
r
m
a
n
ce
as
s
es
s
m
en
t
;
in
s
ec
tio
n
5
,
w
e
d
escr
ib
e
an
d
d
is
cu
s
s
th
e
e
x
p
er
i
m
e
n
tal
r
es
u
l
ts
;
in
s
ec
tio
n
6
,
w
e
co
n
cl
u
d
e
b
y
s
u
m
m
ar
izi
n
g
t
h
e
k
e
y
f
i
n
d
in
g
s
o
f
o
u
r
in
v
est
ig
at
i
o
n
.
Fig
u
r
e
1
.
C
o
n
v
e
n
tio
n
al
w
o
r
k
i
n
g
o
f
b
io
m
etr
ic
w
it
h
A
I
an
d
I
o
T
2.
L
I
T
E
R
AT
U
RE
R
E
VI
E
W
T
h
e
leak
ag
e
o
f
s
e
n
s
it
iv
e
a
n
d
p
er
s
o
n
al
in
f
o
r
m
atio
n
is
av
o
id
ed
in
p
r
iv
ac
y
p
r
eser
v
atio
n
.
T
h
e
d
ata
o
f
s
en
s
o
r
ca
p
tu
r
ed
f
r
o
m
w
ea
r
ab
le
I
o
T
d
ev
ices
h
av
i
n
g
lo
w
-
p
o
w
er
is
u
til
ized
b
y
th
e
H
AR
s
y
s
te
m
s
to
co
n
s
ta
n
tl
y
u
n
d
er
s
ta
n
d
w
h
a
t
a
p
er
s
o
n
is
d
o
in
g
.
He
n
ce
,
s
e
v
er
e
co
n
ce
r
n
i
s
p
o
s
ed
b
y
th
e
p
r
i
v
ac
y
o
f
i
n
d
iv
id
u
als.
T
h
e
p
r
iv
ac
y
p
r
eser
v
atio
n
i
n
r
ec
o
g
n
itio
n
o
f
v
is
io
n
-
b
ased
ac
tiv
i
t
y
r
elate
d
w
o
r
k
i
s
n
o
t
co
n
s
id
er
ed
in
t
h
i
s
p
ap
er
.
P
r
eser
v
atio
n
o
f
p
r
iv
ac
y
in
r
ec
o
g
n
itio
n
o
f
in
er
tial
s
en
s
o
r
-
b
ased
ac
ti
v
it
y
i
s
th
e
f
o
cu
s
o
f
th
i
s
p
ap
er
.
T
h
e
r
e
s
ea
r
ch
co
m
m
u
n
it
y
h
av
e
i
n
v
e
s
ti
g
ated
m
a
n
y
p
r
iv
a
c
y
p
r
eser
v
in
g
s
tr
ate
g
ies.
A
s
c
h
e
m
e
w
h
ic
h
is
b
ased
o
n
t
w
o
s
tag
e
r
an
d
o
m
izatio
n
tech
n
iq
u
es
f
o
r
i
m
p
r
o
v
e
m
en
t
o
f
p
r
eser
v
at
io
n
o
f
p
r
iv
ac
y
in
co
llab
o
r
ativ
e
d
ee
p
lear
n
in
g
is
p
r
o
p
o
s
ed
b
y
L
y
u
e
t
a
l
.
[
2
0
]
.
A
t
w
o
-
s
ta
g
e
ap
p
r
o
ac
h
is
i
m
p
le
m
e
n
ted
b
y
th
e
m
,
i
n
t
h
e
f
ir
s
t
p
ar
t,
a
n
o
n
-
li
n
ea
r
f
u
n
ctio
n
to
d
is
tu
r
b
in
f
o
r
m
atio
n
is
ap
p
lied
an
d
in
s
u
b
s
eq
u
en
t
p
ar
t
a
r
an
d
o
m
p
r
o
j
ec
tio
n
m
a
tr
ix
o
f
r
o
w
-
o
r
th
o
g
o
n
al
is
u
s
ed
to
co
m
p
r
es
s
th
e
d
ata
to
k
ee
p
t
h
e
E
u
clid
ea
n
d
is
ta
n
ce
a
m
o
n
g
s
t
b
r
ac
es
o
f
i
n
f
o
r
m
atio
n
p
o
in
ts
s
to
ch
ast
icall
y
.
Ho
p
ef
u
l
o
u
tco
m
es
o
f
f
er
i
n
g
an
o
p
tim
al
tr
ad
e
-
o
f
f
b
et
w
ee
n
ac
cu
r
ac
y
a
n
d
p
r
iv
ac
y
r
ec
o
g
n
itio
n
is
s
h
o
w
n
b
y
th
is
ap
p
r
o
ac
h
.
Me
th
o
d
s
o
f
tr
an
s
f
o
r
m
a
tio
n
an
d
p
er
tu
r
b
atio
n
n
o
is
e
b
o
th
co
m
b
in
e
a
f
r
a
m
e
w
o
r
k
p
r
o
p
o
s
ed
b
y
Z
h
an
g
et
a
l
.
[
2
1
]
.
Sen
s
o
r
s
r
a
w
i
n
f
o
r
m
atio
n
i
s
tr
an
s
f
o
r
m
ed
in
to
a
n
e
w
er
p
r
esen
ta
tio
n
w
i
th
a
r
a
n
d
o
m
n
o
is
e
“
s
t
y
le”,
w
h
ic
h
i
s
s
e
n
s
iti
v
e
d
ata
an
d
r
a
w
d
ata’
s
“
co
n
te
n
t”
t
h
at
i
s
i
n
f
o
r
m
a
tio
n
o
f
ac
ti
v
it
y
.
2
D
co
n
v
o
l
u
tio
n
al
n
eu
r
al
n
et
w
o
r
k
s
ar
e
u
s
ed
b
y
th
e
m
f
o
r
tr
ain
i
n
g
s
e
n
s
o
r
s
r
a
w
in
f
o
r
m
atio
n
f
o
r
g
at
h
er
in
g
i
n
f
o
r
m
atio
n
o
f
tar
g
et
a
n
d
th
en
tr
an
s
f
o
r
m
atio
n
n
e
t
w
o
r
k
s
ar
e
tr
ain
e
d
f
o
r
av
o
id
in
g
lea
k
ag
e
o
f
i
n
f
o
r
m
atio
n
w
h
ile
k
ee
p
in
g
tar
g
et
d
ata.
R
etai
n
in
g
in
f
o
r
m
a
tio
n
o
f
tar
g
et
an
d
p
r
o
tectin
g
u
s
er
s
en
s
iti
v
e
d
ata
k
ee
p
in
g
ac
cu
r
ac
y
d
r
o
p
o
f
r
ec
o
g
n
itio
n
lo
w
in
th
i
s
f
r
a
m
e
w
o
r
k
s
i
m
u
ltan
eo
u
s
l
y
.
Data
o
f
u
s
er
is
d
if
f
er
en
tial
l
y
p
r
iv
ate
an
d
s
u
c
h
H
A
R
f
r
a
m
e
w
o
r
k
is
p
r
o
p
o
s
ed
b
y
Gar
ain
et
a
l
.
[
2
2
]
.
Fo
r
ac
c
o
m
p
li
s
h
in
g
t
h
i
s
,
m
ec
h
a
n
is
m
o
f
li
n
ea
r
s
h
i
f
ti
n
g
w
as
u
s
ed
w
h
e
n
n
o
i
s
e
is
ad
d
ed
to
o
r
ig
in
al
d
ata
f
o
r
p
er
f
o
r
m
i
n
g
u
n
i
f
o
r
m
n
o
i
s
e
d
is
tr
ib
u
tio
n
.
N
o
is
e
in
s
er
tio
n
s
o
f
d
i
f
f
er
en
t
l
ev
els
ar
e
u
s
ed
f
o
r
m
ea
s
u
r
e
m
e
n
t
o
f
r
ec
o
g
n
itio
n
a
n
d
p
r
iv
ac
y
b
y
th
e
m
.
Ho
w
e
v
er
,
m
u
ltil
a
y
er
p
er
ce
p
tr
o
n
is
u
s
ed
as
class
if
ier
r
ath
er
th
an
d
ee
p
lear
n
i
n
g
an
d
u
s
e
s
e
n
s
it
iv
e
i
n
f
o
r
m
atio
n
as
u
s
er
id
en
ti
f
icatio
n
o
n
l
y
.
T
h
e
y
s
h
o
w
t
h
at
s
i
g
n
i
f
ican
t
d
r
o
p
in
ac
c
u
r
ac
y
o
f
u
s
er
id
e
n
ti
f
ies
is
o
b
s
er
v
ed
w
h
e
n
d
ata
o
f
ac
c
eler
o
m
e
ter
d
ata
is
co
r
r
u
p
ted
w
it
h
n
o
is
e
an
d
h
i
g
h
ac
cu
r
ac
y
is
m
ai
n
tai
n
ed
b
y
H
AR
.
Min
i
m
izi
n
g
r
ec
o
g
n
i
tio
n
o
f
ag
e
an
d
g
e
n
d
er
id
en
ti
f
icatio
n
k
ee
p
in
g
ac
ti
v
it
y
r
ec
o
g
n
itio
n
m
ax
i
m
u
m
i
s
n
o
n
d
o
m
i
n
ated
s
o
r
tin
g
g
en
et
i
c
alg
o
r
it
h
m
I
I
I
ar
e
lev
er
a
g
e
d
b
y
C
l
i
m
e
n
t
-
P
ér
ez
a
n
d
Flo
r
ez
-
R
e
v
u
e
lta
[
2
3
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
9
-
4864
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
,
Vo
l.
1
5
,
No
.
1
,
Ma
r
c
h
202
6
:
1
1
9
-
129
122
Fin
d
i
n
g
t
h
e
b
est
f
ea
tu
r
e
s
is
t
h
e
m
ain
o
b
j
ec
tiv
e
o
f
ev
o
l
u
tio
n
ar
y
al
g
o
r
ith
m
f
o
r
ac
h
ie
v
in
g
H
AR
as
ac
cu
r
ate
a
s
p
o
s
s
ib
le
w
h
ile
h
id
i
n
g
ag
e
an
d
g
en
d
er
.
Desp
ite
a
s
ig
n
i
f
ican
t
r
ed
u
ctio
n
in
ac
c
u
r
ac
y
is
e
x
p
er
ien
ce
d
b
y
a
g
e
an
d
g
en
d
er
r
ec
o
g
n
iti
on
,
b
ec
au
s
e
o
f
m
u
ltid
i
m
en
s
io
n
al
it
y
o
f
p
r
o
b
le
m
n
o
n
n
e
g
li
g
ib
le
d
r
o
p
o
n
r
ec
o
g
n
itio
n
o
f
ac
ti
v
it
y
is
o
b
s
er
v
ed
.
T
h
e
s
o
lu
tio
n
ca
n
b
e
o
p
tim
u
m
f
o
r
s
o
m
e
d
i
m
en
s
i
o
n
s
b
u
t s
u
b
o
p
ti
m
u
m
f
o
r
o
th
er
d
im
e
n
s
io
n
s
.
T
w
o
f
r
a
m
e
w
o
r
k
s
d
ep
en
d
u
p
o
n
v
ar
io
u
s
ad
v
er
s
ar
ial
tr
ain
in
g
f
r
a
m
e
w
o
r
k
s
f
o
r
p
r
iv
ate
attr
ib
u
te
o
b
f
u
s
ca
tio
n
i
n
f
er
e
n
ce
i
s
p
r
o
p
o
s
ed
b
y
Me
n
asria
e
t
a
l
.
[
2
4
]
.
I
n
p
ar
t
f
ir
s
t,
p
er
s
o
n
al
G
A
N1
w
h
ic
h
d
ep
en
d
u
p
o
n
ar
ch
itect
u
r
e
o
f
d
u
al
d
is
cr
i
m
i
n
ato
r
.
P
r
iv
ate
GA
N1
tr
an
s
f
o
r
m
s
,
ca
m
o
u
f
lag
e
s
cr
u
cial
p
ar
a
m
eter
s
w
h
ich
ar
e
ass
o
ciate
d
to
p
er
s
o
n
al
f
ea
tu
r
es
w
h
i
le
r
etain
in
g
t
h
e
n
o
n
i
m
p
o
r
ta
n
t
f
ea
t
u
r
es
w
h
ich
ar
e
ass
o
ciate
d
to
n
o
n
s
en
s
iti
v
e
p
ar
am
eter
s
.
P
GA
N2
,
in
th
e
s
u
b
s
eq
u
e
n
t
p
ar
t,
g
en
er
atio
n
o
f
n
e
w
i
n
f
o
r
m
atio
n
w
it
h
a
least
c
o
r
r
elatio
n
to
th
e
s
en
s
iti
v
e
f
ea
t
u
r
es
o
f
d
is
tr
ib
u
tio
n
b
y
lev
er
ag
i
n
g
th
e
r
an
d
o
m
d
is
tr
ib
u
tio
n
i
n
s
tead
o
f
tr
an
s
f
o
r
m
atio
n
.
T
w
o
esti
m
ato
r
’
s
ar
ch
itect
u
r
e
a
n
d
o
n
e
d
is
cr
i
m
i
n
ato
r
is
t
h
e
b
asi
s
o
f
P
G
A
N2
.
T
w
o
s
tr
ate
g
ies
w
er
e
test
ed
b
y
a
u
t
h
o
r
s
b
y
a
n
o
n
y
m
izi
n
g
o
n
e
o
f
m
o
r
e
cr
u
cial
d
ata
at
a
ti
m
e
s
u
c
h
as
h
eig
h
t,
w
e
ig
h
t,
a
g
e
an
d
g
en
d
e
r
.
I
n
co
n
ce
alin
g
t
h
e
s
en
s
iti
v
e
in
f
o
r
m
a
tio
n
a
n
d
f
ea
tu
r
es.
P
GAN2
is
f
u
r
t
h
er
o
p
er
ativ
e
th
a
n
P
G
A
N1
is
t
h
e
c
o
n
clu
s
io
n
g
iv
e
n
i
n
Me
n
asria
et
a
l
.
[
2
4
]
.
A
c
a
m
o
u
f
la
g
ed
s
eg
m
en
tatio
n
,
to
ca
m
o
u
f
lag
e
p
r
iv
ate
d
ata
in
an
al
y
s
is
o
f
ti
m
e
-
s
er
ies
d
ata,
d
ev
elo
p
s
a
p
r
iv
ac
y
-
p
r
eser
v
i
n
g
p
latf
o
r
m
m
en
t
in
ed
in
Ma
lek
za
d
eh
et
a
l
.
[
2
5
]
.
T
h
is
ap
p
r
o
a
ch
is
b
ased
o
n
th
e
in
tr
o
d
u
ctio
n
o
f
a
d
ee
p
C
a
m
o
u
f
la
g
ed
s
eg
m
e
n
tatio
n
ar
ch
itect
u
r
e
o
n
w
h
ich
a
r
ea
l
-
ti
m
e
al
g
o
r
ith
m
co
u
ld
ex
ce
r
p
t
v
alu
ab
le
f
ea
t
u
r
es
f
r
o
m
d
ata
o
f
ti
m
e
-
s
er
ies
;
r
ep
lacin
g
s
en
s
iti
v
e
in
f
o
r
m
at
io
n
w
it
h
n
o
n
s
e
n
s
i
tiv
e
i
n
f
o
r
m
atio
n
i
s
l
ea
r
n
ed
b
y
t
h
is
al
g
o
r
ith
m
w
h
e
r
e
r
eq
u
ir
ed
d
ata
is
k
ep
t
in
in
f
o
r
m
atio
n
.
R
ep
lace
m
e
n
t
c
a
m
o
u
f
lag
ed
s
eg
m
e
n
tatio
n
is
th
e
n
a
m
e
o
f
th
i
s
m
et
h
o
d
.
T
r
ain
in
g
o
f
R
A
E
s
y
s
te
m
f
o
r
lear
n
in
g
to
tr
an
s
f
o
r
m
f
ea
t
u
r
e
s
o
f
d
is
cr
i
m
i
n
atio
n
w
h
ic
h
ar
e
eq
u
i
v
ale
n
t
t
o
s
e
n
s
i
tiv
e
i
n
ter
p
r
etatio
n
s
i
n
to
f
ea
tu
r
es
id
en
ti
f
ied
i
n
n
o
n
-
s
e
n
s
iti
v
e
in
ter
p
r
etatio
n
s
.
A
GAN
w
a
s
u
s
ed
b
y
t
h
e
au
t
h
o
r
s
f
o
r
p
r
o
v
in
g
th
e
e
f
f
icac
y
o
f
th
eir
m
eth
o
d
,
w
h
ic
h
s
h
o
w
s
th
at
R
A
E
’
s
o
u
tp
u
t
p
r
o
d
u
ce
d
is
v
ag
u
e
co
m
p
ar
ed
to
r
ea
l
n
o
n
-
s
en
s
iti
v
e
d
ata.
T
h
e
ac
cu
r
ac
y
o
f
r
ec
o
g
n
i
tio
n
is
r
etai
n
ed
s
i
m
u
lta
n
eo
u
s
l
y
b
y
R
A
E
i
s
p
r
o
v
ed
b
y
th
e
m
.
C
o
n
s
eq
u
en
tl
y
,
e
x
te
n
s
io
n
o
f
t
h
eir
p
r
ev
io
u
s
s
t
u
d
y
is
e
x
te
n
d
ed
b
y
t
h
e
Ma
le
k
za
d
eh
et
a
l
.
[
2
6
]
b
y
s
u
g
g
e
s
ti
n
g
th
e
g
u
ar
d
ian
e
s
ti
m
ato
r
n
eu
tr
alize
r
(
GE
N)
f
r
a
m
e
w
o
r
k
,
i
n
te
n
ed
ed
to
p
r
esen
t i
n
d
iv
id
u
al
s
e
n
s
o
r
d
ata’
s
tr
an
s
f
o
r
m
ed
v
er
s
io
n
.
A
lear
n
i
n
g
f
r
a
m
e
w
o
r
k
li
k
e
g
u
ar
d
ia
n
c
o
m
p
o
n
en
t
,
w
h
ic
h
i
s
b
ased
u
p
o
n
th
e
ca
m
o
u
f
la
g
ed
s
eg
m
e
n
tatio
n
i
s
o
u
tli
n
ed
in
th
eir
p
r
ev
io
u
s
ef
f
o
r
t
as
s
tated
,
th
e
p
r
ed
icto
r
is
a
c
o
n
v
o
lu
tio
n
a
l
n
eu
r
al
n
et
w
o
r
k
o
f
m
u
lt
i
tas
k
s
i
n
co
n
tr
o
l
o
f
ca
lcu
lati
n
g
alg
o
r
it
h
m
s
ac
cu
r
ac
y
f
o
r
in
f
er
en
ce
s
o
f
s
e
n
s
iti
v
e
an
d
n
o
t
s
en
s
iti
v
e
tr
an
s
f
o
r
m
ed
d
ata.
T
h
e
ca
m
o
u
f
lag
ed
s
e
g
m
en
ta
tio
n
is
h
elp
ed
b
y
th
e
n
e
u
tr
alize
r
w
h
ic
h
i
s
a
n
o
p
tim
izer
.
Her
e
t
h
e
u
s
er
’
s
g
e
n
d
er
is
co
n
s
id
er
ed
as
s
en
s
iti
v
e
in
f
o
r
m
a
t
io
n
b
y
th
e
au
th
o
r
s
.
A
g
o
o
d
co
m
p
r
o
m
i
s
e
b
et
w
ee
n
ac
c
u
r
ac
y
an
d
u
ti
lit
y
is
p
r
o
v
id
ed
b
y
GE
N
is
p
r
o
v
ed
b
y
t
h
e
m
.
Del
g
ad
o
-
Sa
n
to
s
et
a
l
.
[
2
7
]
p
r
o
p
o
s
ed
a
s
i
m
ilar
ap
p
r
o
ac
h
to
s
t
y
le
an
d
co
n
ten
t
d
esi
g
n
in
g
GaitP
r
iv
ac
y
ON.
T
w
o
m
o
d
u
les
ar
e
p
r
esen
t
in
th
e
Ga
itP
r
iv
ac
y
ON.
T
w
o
co
n
v
o
lu
tio
n
al
ca
m
o
u
f
la
g
ed
s
e
g
m
e
n
tat
io
n
s
ar
e
i
n
cl
u
d
ed
in
th
e
f
ir
s
t
m
o
d
u
les
w
h
i
c
h
p
r
o
v
id
e
w
ei
g
h
ts
a
n
d
h
a
v
e
a
s
i
m
ilar
ar
ch
itectu
r
e.
T
o
ex
tr
ac
t
m
ea
n
i
n
g
f
u
l
in
f
o
f
r
o
m
co
n
v
er
ted
d
ata
,
th
ese
ca
m
o
u
f
lag
ed
s
eg
m
e
n
tatio
n
s
ar
e
tr
ain
ed
.
Gait
v
er
i
f
icat
io
n
s
y
s
te
m
is
th
e
s
ec
o
n
d
m
o
d
u
le;
it
co
n
s
i
s
ts
o
f
r
ec
u
r
r
en
t
n
et
w
o
r
k
s
o
f
n
eu
r
al
u
n
ited
w
it
h
co
n
v
o
lu
tio
n
al
n
eu
r
al
n
et
w
o
r
k
w
h
ic
h
s
u
p
p
o
r
ts
s
y
s
te
m
r
etai
n
i
ts
h
elp
f
u
l
n
e
s
s
i
n
f
o
r
e
m
o
s
t
j
o
b
o
f
co
n
f
ir
m
atio
n
o
f
g
ait.
A
s
t
h
e
g
ait
b
io
m
etr
y
co
n
f
ir
m
atio
n
w
o
r
k
s
l
ig
h
tl
y
r
ed
u
ce
d
,
g
o
o
d
r
esu
lts
a
r
e
o
b
tain
ed
.
C
o
n
tr
ar
y
to
th
i
s
,
p
r
o
tectio
n
o
f
p
r
iv
ate
in
f
o
r
m
ati
o
n
,
h
er
e,
g
en
d
er
,
an
d
ac
ti
v
it
y
i
s
i
m
p
r
o
v
ed
.
T
h
e
p
r
o
b
lem
s
w
h
ic
h
ar
e
s
ee
n
f
r
o
m
p
r
ev
io
u
s
s
t
u
d
ies
a
r
e
co
n
v
en
tio
n
al
s
y
s
te
m
s
o
f
b
io
m
etr
ic
r
ec
o
g
n
itio
n
f
ac
e
i
s
s
u
es
i
n
s
u
r
r
o
u
n
d
i
n
g
s
w
h
er
e
b
io
m
e
tr
ic
f
ea
tu
r
e
s
ar
e
o
cc
lu
d
ed
p
ar
ti
all
y
o
r
m
as
k
ed
b
y
co
m
p
le
x
b
ac
k
g
r
o
u
n
d
s
[
2
8
]
,
T
r
a
d
itio
n
al
tech
n
iq
u
e
s
o
f
i
m
ag
e
s
e
g
m
e
n
tat
io
n
f
r
eq
u
en
tl
y
f
ail
to
d
is
ti
n
g
u
i
s
h
ac
cu
r
atel
y
w
h
er
e
r
ec
o
g
n
i
tio
n
ac
cu
r
ac
y
is
r
ed
u
ce
d
f
o
r
s
i
m
i
l
ar
b
io
m
e
tr
ic
f
ea
tu
r
es,
u
n
co
n
tr
o
lled
an
d
o
u
td
o
o
r
s
u
r
r
o
u
n
d
in
g
s
ar
e
w
h
er
e
ad
ap
t
ab
ilit
y
is
lack
ed
b
y
b
io
m
etr
ic
s
y
s
te
m
s
in
r
ea
l
ti
m
e
an
d
d
y
n
a
m
ic
co
n
d
itio
n
s
[
2
9
]
,
f
o
r
en
h
a
n
ci
n
g
a
n
d
ex
tr
ac
ti
n
g
b
io
m
etr
ic
f
ea
t
u
r
es
in
n
o
is
y
o
r
ca
m
o
u
f
lag
ed
e
n
v
ir
o
n
m
e
n
t
s
A
I
d
r
iv
e
n
in
te
llig
e
n
t
s
eg
m
e
n
tatio
n
u
s
e
is
lac
k
i
n
g
an
d
s
ca
lab
ilit
y
a
n
d
ef
f
ec
ti
v
en
es
s
o
f
tr
ad
itio
n
a
l
r
ec
o
g
n
i
ti
o
n
ap
p
licatio
n
s
i
n
s
u
r
v
eilla
n
ce
an
d
s
ec
u
r
it
y
i
s
li
m
ited
b
y
ab
s
en
ce
o
f
s
y
s
te
m
i
n
teg
r
at
in
g
ad
v
a
n
ce
d
s
eg
m
e
n
t
atio
n
,
I
o
T
,
an
d
A
I
[
3
0
]
.
T
h
e
in
s
p
ir
atio
n
o
f
o
u
r
w
o
r
k
is
f
r
o
m
Ma
le
k
za
d
eh
et
a
l
.
[
2
6
]
,
th
e
id
ea
o
f
ad
o
p
tin
g
t
h
e
ca
m
o
u
f
la
g
ed
s
eg
m
e
n
tatio
n
i
s
le
v
er
ag
ed
b
y
u
s
,
w
h
ich
k
ee
p
s
t
h
e
o
r
ig
i
n
al
in
p
u
t
asp
ec
t
s
th
a
t
ar
e
r
elev
a
n
t
an
d
u
s
e
f
u
l
to
th
e
r
ec
o
g
n
itio
n
o
f
t
h
e
ac
ti
v
it
y
w
h
i
le
co
n
ce
alin
g
s
en
s
iti
v
e
i
n
f
o
r
m
atio
n
w
h
ich
m
a
y
i
n
cu
r
p
r
i
v
ac
y
leak
a
g
es.
T
h
o
u
g
h
,
th
e
co
m
p
ar
is
o
n
b
et
w
ee
n
ex
i
s
ti
n
g
li
ter
atu
r
e
an
d
t
h
eir
w
o
r
k
,
a
ll
th
e
s
e
n
s
it
iv
e
i
n
f
o
r
m
atio
n
is
h
id
d
en
b
y
u
s
,
s
u
c
h
as
ag
e,
h
ei
g
h
t,
w
eig
h
t
,
a
n
d
g
en
d
er
co
n
c
u
r
r
en
tl
y
a
n
d
h
e
n
ce
g
en
er
ati
n
g
a
m
u
ltip
le
attr
ib
u
tes
o
b
f
u
s
ca
to
r
.
Fu
r
t
h
er
m
o
r
e,
ch
ar
ac
ter
izatio
n
o
f
en
er
g
y
p
r
iv
ac
y
p
r
eser
v
i
n
g
tec
h
n
iq
u
e
is
ca
r
r
ied
o
u
t
b
y
th
e
u
s
,
w
h
ic
h
w
a
s
n
eg
lec
ted
in
t
h
e
ex
i
s
ti
n
g
li
ter
atu
r
e
b
est
o
f
o
u
r
k
n
o
w
led
g
e
[
3
1
]
.
T
h
is
p
r
eser
v
in
g
p
r
i
v
ac
y
t
ec
h
n
iq
u
e
,
w
h
ic
h
,
to
th
e
b
est o
f
o
u
r
i
n
f
o
r
m
atio
n
,
was ig
n
o
r
ed
in
p
r
esen
t
w
o
r
k
s
.
3.
M
AT
E
RIAL
S AN
D
M
E
T
H
O
DS
T
h
e
p
r
o
p
o
s
ed
m
et
h
o
d
w
h
ic
h
is
p
r
iv
ac
y
-
p
r
eser
v
i
n
g
H
AR
is
d
escr
ib
ed
in
th
is
s
ec
t
io
n
.
T
r
an
s
m
is
s
io
n
o
f
d
ata
r
em
o
tel
y
p
r
o
d
u
ce
d
b
y
d
ev
ices
o
f
m
o
b
ile
u
s
er
to
s
er
v
ice
p
r
o
v
id
er
s
o
f
clo
u
d
b
ased
f
o
r
in
f
er
r
in
g
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
I
SS
N:
2089
-
4864
I
n
q
u
is
itive
b
io
metric fe
a
tu
r
e
a
n
a
lysi
s
a
n
d
imp
leme
n
ta
tio
n
fo
r
r
ec
o
g
n
itio
n
…
(
Ma
h
esh
S
h
a
n
ka
r
r
a
o
P
a
til
)
123
co
r
r
esp
o
n
d
in
g
ac
ti
v
ities
th
r
o
u
g
h
m
o
d
els o
f
m
ac
h
in
e
lear
n
i
n
g
s
,
p
r
o
v
id
in
g
u
s
er
w
it
h
f
ee
d
b
a
ck
s
a
n
d
s
to
r
in
g
d
ata
[
3
2
]
w
h
ich
h
ap
p
en
s
i
n
a
t
y
p
i
ca
l
ap
p
licatio
n
.
A
‘
‘
h
o
n
e
s
t
b
u
t
cu
r
io
u
s
’
’
th
r
ea
t
m
o
d
el
w
a
s
ass
u
m
ed
ad
v
er
s
ar
y
m
o
d
el
w
h
er
e
p
r
o
v
id
er
o
f
s
er
v
ice
h
as
au
th
e
n
tic
ad
m
it
tan
ce
to
u
s
er
’
s
i
n
er
tial
s
ig
n
al
s
,
p
o
s
s
ib
ly
co
u
ld
atte
m
p
t
to
in
f
er
ex
tr
a
s
e
n
s
i
tiv
e
d
ata
f
r
o
m
s
tr
ea
m
s
o
f
s
e
n
s
o
r
s
u
ch
a
s
p
h
y
s
ical
attr
ib
u
te
s
,
ag
e
o
r
g
e
n
d
er
w
h
ic
h
co
m
p
r
o
m
i
s
e
p
r
iv
ac
y
o
f
u
s
er
[
3
3
]
.
A
i
m
o
f
t
h
e
p
r
o
p
o
s
ed
ap
p
r
o
ac
h
is
k
ee
p
i
n
g
th
e
ab
ilit
y
o
f
co
r
r
ec
t
r
ec
o
g
n
itio
n
o
f
ac
tiv
itie
s
f
o
r
s
atis
f
ac
to
r
y
le
v
el
s
w
h
ile
g
u
ar
d
in
g
f
r
o
m
p
r
o
b
ab
le
u
n
ap
p
r
o
v
ed
in
f
er
e
n
ce
o
f
s
e
n
s
iti
v
e
f
ea
t
u
r
es
i
s
co
m
i
n
g
f
r
o
m
th
e
m
ac
h
in
e
lear
n
i
n
g
m
o
d
els
o
f
attac
k
er
w
h
ic
h
ar
e
s
er
v
ice
p
r
o
v
id
er
s
.
B
en
ef
its
o
f
t
h
e
ab
il
it
y
o
f
ca
m
o
u
f
lag
e
d
s
eg
m
e
n
tatio
n
ar
e
esp
ec
iall
y
ar
e
tak
e
n
f
o
r
lear
n
i
n
g
in
p
u
t
d
ata
’
s
r
ep
r
ese
n
tatio
n
v
ia
a
n
o
n
-
li
n
ea
r
p
r
ed
ictio
n
o
n
a
laten
t
s
p
ac
e
an
d
its
s
u
cc
ee
d
in
g
r
eb
u
ild
i
n
g
[
3
4
]
.
A
s
y
s
te
m
f
o
u
n
d
ed
o
n
d
ee
p
lear
n
in
g
c
a
m
o
u
f
la
g
ed
s
eg
m
e
n
tatio
n
,
w
as
p
r
o
p
o
s
ed
f
o
r
ac
h
iev
i
n
g
th
is
g
o
al,
w
h
ic
h
w
a
s
tr
ain
ed
f
o
r
in
p
u
t
d
ata
p
r
o
ce
s
s
in
g
in
to
a
v
er
s
io
n
w
h
ich
k
ee
p
s
th
e
in
f
o
r
m
at
io
n
n
ec
es
s
ar
y
f
o
r
n
o
n
s
en
s
it
iv
e
ele
m
en
t
s
class
i
f
icat
i
o
n
.
Si
m
u
lta
n
eo
u
s
l
y
,
d
if
f
ic
u
lt
y
in
in
f
er
e
n
ce
o
f
s
e
n
s
i
tiv
e
i
n
f
o
r
m
atio
n
i
s
m
ad
e
b
y
th
e
m
.
A
d
e
f
i
n
ite
lo
s
s
f
u
n
c
tio
n
was
u
s
ed
co
n
s
is
ti
n
g
o
f
2
ter
m
s
f
o
r
tr
ain
i
n
g
c
a
m
o
u
f
la
g
ed
s
eg
m
en
tatio
n
w
h
er
e
o
n
e
w
as
e
n
d
o
r
s
in
g
p
en
aliza
tio
n
o
f
v
ar
io
u
s
t
y
p
es
o
f
s
en
s
iti
v
e
in
f
o
r
m
at
io
n
’
s
p
r
ec
is
e
p
r
ed
ictio
n
an
d
o
th
er
in
co
n
tr
o
l
o
f
in
ce
n
t
iv
iz
in
g
ac
cu
r
ate
i
n
f
er
en
ce
o
f
a
u
t
h
en
t
ic
f
ea
t
u
r
es.
B
en
ef
i
ts
o
f
t
h
e
ab
ilit
y
o
f
c
a
m
o
u
f
la
g
ed
s
e
g
m
e
n
tat
i
o
n
ar
e
esp
ec
iall
y
tak
e
n
f
o
r
lear
n
in
g
in
p
u
t
d
ata’
s
r
ep
r
esen
tatio
n
v
ia
a
n
o
n
-
li
n
ea
r
p
r
e
d
ictio
n
o
n
a
laten
t
s
p
ac
e
a
n
d
its
s
u
cc
ee
d
in
g
r
eb
u
ild
in
g
.
A
w
id
e
r
an
g
e
to
p
ic
w
it
h
v
ar
io
u
s
is
s
u
e
s
is
r
ep
r
esen
ted
b
y
p
r
o
tectio
n
o
f
p
r
iv
ac
y
in
m
o
b
ile
an
d
w
ea
r
ab
le
s
y
s
te
m
s
[
3
5
]
o
f
co
m
p
u
tin
g
w
h
ic
h
m
i
g
h
t
b
e
co
n
s
id
er
ed
c
ar
ef
u
ll
y
a
t
ti
m
e
o
f
d
esi
g
n
es
p
ec
iall
y
r
elati
n
g
to
b
alan
ce
b
et
w
ee
n
u
til
it
y
an
d
p
r
iv
ac
y
.
C
o
n
ce
p
t
o
f
r
esi
lien
c
e
is
d
is
cu
s
s
ed
b
y
L
i
n
et
a
l
.
[
3
6
]
b
y
p
r
o
v
id
in
g
as
s
u
r
a
n
ce
s
in
ad
ap
tab
ilit
y
an
d
r
o
b
u
s
tn
es
s
ter
m
s
.
Fo
r
co
m
p
le
m
en
tin
g
p
r
iv
ac
y
p
r
o
tectio
n
t
h
is
co
n
ce
p
t
w
a
s
lev
er
a
g
ed
.
Secu
r
it
y
a
n
d
p
r
iv
ac
y
r
is
k
s
ar
e
r
elate
d
to
v
ar
io
u
s
t
y
p
es
o
f
attac
k
s
in
o
u
r
s
u
g
g
e
s
te
d
p
r
iv
ac
y
-
p
r
eser
v
i
n
g
H
A
R
s
y
s
te
m
.
Fo
r
ex
a
m
p
le,
f
o
r
ac
ce
s
s
i
n
g
i
n
er
tial
s
i
g
n
al
s
d
ir
ec
tl
y
C
a
m
o
u
f
la
g
ed
s
eg
m
e
n
tati
o
n
co
u
ld
b
e
b
y
p
ass
ed
w
h
i
ch
m
ak
e
s
s
u
g
g
ested
s
tr
ateg
ie
s
u
n
p
r
o
d
u
cti
v
e.
I
lleg
i
ti
m
ate
ac
ce
s
s
to
w
e
ig
h
s
a
n
d
s
tr
u
ctu
r
e
o
f
C
a
m
o
u
f
la
g
ed
s
e
g
m
en
tatio
n
r
ep
r
ese
n
t
s
an
o
th
er
v
u
ln
er
ab
ilit
y
t
h
at
ca
n
b
e
ex
p
lo
ited
b
y
r
ev
er
s
e
en
g
i
n
ee
r
in
g
s
y
s
te
m
o
f
o
b
f
u
s
ca
tio
n
an
d
its
f
u
n
ctio
n
al
it
y
is
co
m
p
r
o
m
i
s
ed
.
T
h
e
o
p
er
atin
g
s
y
s
te
m
o
f
d
e
v
ice
e
n
f
o
r
ce
r
esis
tan
ce
to
attac
k
s
o
f
t
h
ese
s
t
y
p
es.
Me
ch
a
n
i
s
m
s
o
f
au
th
e
n
tica
tio
n
ar
e
lev
er
ag
ed
b
y
v
ar
io
u
s
ap
p
r
o
ac
h
es
f
o
r
s
u
p
p
o
r
tin
g
r
esil
ien
ce
d
ep
en
d
in
g
u
p
o
n
g
en
er
atio
n
o
f
s
y
m
m
etr
ic
k
e
y
s
y
s
te
m
s
w
h
i
ch
is
p
r
ese
n
ted
in
[
37
]
th
a
t
w
a
s
d
is
co
v
er
ed
to
b
e
h
el
p
f
u
l
i
n
attac
k
s
o
f
ea
v
esd
r
o
p
p
in
g
.
An
ticip
atio
n
o
f
p
r
iv
ac
y
r
is
k
s
an
d
p
o
ten
tial
attac
k
s
i
n
p
r
in
cip
le
co
u
ld
h
ap
p
en
[
3
8
]
.
B
u
t
th
at
is
b
ey
o
n
d
th
e
ar
ticles
s
co
p
e
an
d
ca
n
b
e
co
n
s
id
er
ed
as
f
u
t
u
r
e
w
o
r
k
.
I
n
er
tia
l
s
en
s
o
r
d
ata
’s
s
en
s
i
tiv
e
at
tr
ib
u
te
s
s
af
e
g
u
ar
d
in
g
is
f
o
c
u
s
o
f
wo
r
k
.
Fo
r
co
m
p
r
ess
i
n
g
i
n
p
u
t
in
to
te
lli
n
g
r
ep
r
ese
n
tatio
n
n
eu
r
al
n
et
w
o
r
k
s
o
f
c
a
m
o
u
f
la
g
ed
s
eg
m
e
n
tatio
n
ar
e
d
esig
n
ed
an
d
in
s
ec
o
n
d
p
ar
t
d
ec
o
d
in
g
o
f
in
p
u
t
is
d
o
n
e
f
o
r
s
i
m
ilar
it
y
b
et
w
ee
n
o
u
tp
u
t
a
n
d
o
r
ig
i
n
al
i
n
p
u
t.
M
o
s
t
co
m
m
o
n
l
y
u
s
ed
c
a
m
o
u
f
la
g
ed
s
e
g
m
e
n
tatio
n
,
s
u
r
v
e
y
ed
b
y
B
an
k
et
a
l
.
[
1
4
]
,
h
ig
h
li
g
h
ts
,
e
s
p
ec
iall
y
tec
h
n
iq
u
es o
f
r
eg
u
lar
izatio
n
i.e
.
t
h
e
r
ep
r
esen
tatio
n
o
f
co
m
p
r
es
s
io
n
o
f
in
p
u
t i
s
ex
p
r
es
s
iv
e
is
en
s
u
r
ed
in
c
a
m
o
u
f
la
g
ed
s
eg
m
e
n
tat
io
n
.
Me
t
h
o
d
p
r
esen
t
ed
b
y
Ma
lek
z
ad
e
h
et
a
l
.
[
2
6
]
,
is
f
o
llo
w
ed
f
o
r
d
esig
n
in
g
s
y
s
te
m
w
h
er
e
a
co
n
v
er
s
io
n
o
f
an
a
s
s
u
m
ed
s
eg
m
e
n
t
o
f
w
in
d
o
w
o
f
m
u
ltid
i
m
e
n
s
io
n
al
ti
m
e
s
er
ie
s
in
to
an
o
u
tp
u
t
o
f
th
e
s
a
m
e
d
i
m
e
n
s
io
n
alit
y
i
s
p
er
f
o
r
m
ed
b
y
c
a
m
o
u
f
la
g
ed
s
e
g
m
e
n
tat
io
n
.
T
h
e
ac
tiv
it
y
r
ec
o
g
n
itio
n
m
o
d
u
le
ta
k
es
i
n
p
u
t
f
r
o
m
ti
m
e
s
er
ies
s
e
g
m
e
n
t
s
tr
an
s
f
o
r
m
ed
v
er
s
io
n
[
3
9
]
.
Fo
r
ca
r
r
y
in
g
o
u
t
i
n
f
er
e
n
ce
o
f
p
r
iv
at
e
f
ea
t
u
r
es
a
n
d
i
f
it
is
g
i
v
en
as
a
n
i
n
p
u
t
th
e
n
n
o
a
n
y
attr
ib
u
te
s
s
h
o
u
ld
b
e
r
ev
ea
led
h
en
ce
b
y
r
ed
u
cin
g
ac
c
u
r
ac
y
o
f
leg
iti
m
ate
ac
ti
v
it
y
r
ec
o
g
n
it
io
n
b
y
p
r
eser
v
i
n
g
p
r
iv
ac
y
.
Hen
c
e,
f
o
r
co
m
p
r
ess
i
n
g
m
o
d
el
s
o
f
m
ac
h
i
n
e
lear
n
i
n
g
,
m
o
d
el
s
ar
e
n
ee
d
ed
f
o
r
s
p
ec
if
i
c
s
o
lu
tio
n
s
an
d
f
it
t
h
e
m
w
i
th
co
m
p
u
te
an
d
r
eso
u
r
ce
s
o
f
m
e
m
o
r
y
o
f
s
p
ec
i
f
ie
d
e
m
b
ed
d
ed
s
y
s
te
m
s
[
4
0
]
.
Fo
r
d
o
in
g
s
o
,
f
o
llo
w
i
n
g
d
esi
g
n
th
in
g
s
ar
e
p
r
o
p
o
s
ed
:
i)
f
o
r
in
f
er
en
ce
o
f
n
o
n
s
e
n
s
iti
v
e
i
n
f
o
r
m
atio
n
u
s
i
n
g
d
ee
p
lear
n
in
g
m
o
d
el
u
s
in
g
T
en
s
o
r
f
lo
w
f
r
a
m
e
w
o
r
k
[
4
1
]
an
d
ii)
a
d
ee
p
lean
in
g
m
o
d
el
s
et
w
h
ic
h
i
s
p
r
o
f
icien
t
o
f
cr
ea
tin
g
i
n
f
er
en
ce
o
f
p
r
iv
ate
d
ata
li
k
e
a
s
h
e
ig
h
t,
ag
e,
g
e
n
d
er
,
an
d
w
eig
h
t
as
m
en
t
io
n
ed
i
n
F
ig
u
r
e
2
.
Data
ca
n
b
e
k
ep
t
lo
ca
ll
y
f
o
r
av
o
id
i
n
g
p
r
iv
ac
y
lea
k
s
an
d
ex
ec
u
tio
n
o
f
an
y
in
f
er
en
ce
m
o
v
e
m
e
n
t
o
n
p
an
el
o
f
d
ev
ice
o
f
u
s
er
’
s
d
ir
ec
tl
y
i
s
o
n
e
o
f
th
e
p
o
s
s
ib
le
w
a
y
s
.
Ma
n
y
m
o
d
er
n
m
o
d
els
o
f
m
ac
h
i
n
e
lear
n
i
n
g
w
a
n
ts
co
m
p
u
tatio
n
al
r
eq
u
ir
e
m
en
ts
w
h
ic
h
co
n
tr
ast
w
it
h
th
is
ap
p
r
o
ac
h
.
C
er
tain
l
y
,
h
ar
d
w
ar
e
r
eso
u
r
ce
s
ac
ce
s
s
ib
le
o
n
r
estricte
d
d
ev
ice
s
,
p
ar
ticu
lar
l
y
t
h
o
s
e
d
ep
en
d
o
n
m
icr
o
p
r
o
ce
s
s
o
r
u
n
it
s
[
4
2
]
,
lo
w
-
co
s
t,
lo
w
-
p
o
w
er
,
f
r
eq
u
en
tl
y
h
i
n
d
er
in
g
i
m
p
le
m
e
n
tatio
n
o
f
in
f
er
e
n
ce
w
o
r
k
s
d
ep
en
d
in
g
u
p
o
n
n
et
w
o
r
k
s
o
f
n
e
u
r
al.
T
h
e
d
iag
r
am
ill
u
s
tr
ates
t
h
e
p
r
o
p
o
s
ed
w
o
r
k
f
lo
w
o
f
a
b
io
m
et
r
ic
ac
ce
s
s
co
n
tr
o
l
s
y
s
te
m
i
n
te
g
r
ated
w
it
h
A
I
an
d
I
o
T
tech
n
o
lo
g
ies.
T
h
e
p
r
o
ce
s
s
b
eg
in
s
w
it
h
ca
p
tu
r
in
g
th
e
f
ac
ial
i
m
a
g
e
o
f
th
e
u
s
er
,
f
o
llo
w
ed
b
y
f
ea
tu
r
e
ex
tr
ac
tio
n
to
o
b
tain
d
is
cr
i
m
i
n
ati
v
e
b
io
m
etr
ic
r
ep
r
esen
tati
o
n
s
.
T
h
ese
f
ea
t
u
r
es
ar
e
p
r
o
c
ess
ed
b
y
a
m
atc
h
er
m
o
d
u
le,
w
h
er
e
id
en
ti
f
icatio
n
is
p
er
f
o
r
m
ed
th
r
o
u
g
h
co
m
p
ar
is
o
n
w
it
h
s
to
r
ed
tem
p
lates
i
n
th
e
d
atab
ase
an
d
v
er
if
ica
tio
n
is
s
u
p
p
o
r
ted
u
s
i
n
g
a
u
s
er
id
en
t
it
y
to
k
en
.
B
ase
d
o
n
th
e
m
atc
h
i
n
g
o
u
tco
m
es,
th
e
d
ec
is
io
n
lo
g
ic
d
eter
m
in
e
s
w
h
e
th
er
a
v
a
lid
m
atch
ex
is
t
s
.
I
f
co
n
f
ir
m
ed
,
ac
ce
s
s
is
g
r
an
ted
b
y
u
n
lo
ck
i
n
g
t
h
e
d
o
o
r
;
o
th
er
w
is
e,
ac
ce
s
s
is
d
en
ied
an
d
th
e
s
y
s
te
m
r
etu
r
n
s
to
th
e
m
o
n
ito
r
in
g
s
t
ate
f
o
r
s
u
b
s
eq
u
en
t a
u
t
h
en
t
icati
o
n
atte
m
p
t
s
.
Fro
m
a
s
ec
u
r
it
y
an
d
p
r
iv
ac
y
p
er
s
p
ec
tiv
e,
th
e
s
y
s
te
m
e
n
f
o
r
ce
s
m
u
l
ti
-
s
ta
g
e
au
t
h
en
ticatio
n
to
r
ed
u
ce
u
n
a
u
t
h
o
r
ized
ac
ce
s
s
,
w
h
ile
s
e
n
s
it
iv
e
b
io
m
etr
ic
i
n
f
o
r
m
atio
n
is
h
a
n
d
led
in
th
e
f
o
r
m
o
f
ex
tr
ac
ted
f
ea
tu
r
e
s
r
ath
e
r
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
9
-
4864
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
,
Vo
l.
1
5
,
No
.
1
,
Ma
r
c
h
202
6
:
1
1
9
-
129
124
th
an
r
a
w
i
m
a
g
es.
L
i
m
it
in
g
d
atab
ase
in
ter
ac
tio
n
s
to
m
atch
i
n
g
o
p
er
atio
n
s
an
d
s
ep
ar
ati
n
g
id
en
ti
f
icatio
n
a
n
d
v
er
if
ica
tio
n
s
ta
g
es
m
in
i
m
ize
s
d
ata
ex
p
o
s
u
r
e
an
d
s
u
p
p
o
r
ts
p
r
iv
ac
y
-
a
w
ar
e
au
th
e
n
tica
ti
o
n
in
I
o
T
-
en
ab
led
en
v
ir
o
n
m
e
n
t
s
.
Fig
u
r
e
2
.
P
r
o
p
o
s
ed
m
eth
o
d
wo
r
k
in
g
d
iag
r
a
m
3
.
1
.
I
nte
rnet
o
f
t
hin
g
s
Dev
Kit
o
f
E
s
p
r
es
s
i
f
E
SP
3
2
-
w
r
o
o
m
-
3
2
[
4
3
]
w
as
ta
k
en
as
w
ea
r
ab
le
lo
w
p
o
w
er
co
n
n
ec
ted
d
ev
ices
r
ep
r
esen
tativ
e
,
w
h
ich
w
as
co
n
n
ec
ted
to
6
-
ax
i
s
m
o
tio
n
tr
ac
k
in
g
d
ev
ice
n
a
m
ed
MP
U6
0
5
0
,
w
h
ic
h
in
te
g
r
ates
th
r
ee
-
a
x
ial
ac
ce
ler
o
m
e
ter
an
d
th
r
ee
-
a
x
ial
g
y
r
o
s
co
p
e
is
an
I
o
T
d
ev
ice.
A
r
ea
l
ti
m
e
ap
p
licati
o
n
is
d
ev
elo
p
ed
o
n
to
p
o
f
a
h
ar
d
w
ar
e
d
ev
ice
f
o
r
g
ath
er
i
n
g
d
ata
o
f
s
e
n
s
o
r
an
d
tr
an
s
f
o
r
m
i
n
g
it
as
d
escr
ib
ed
p
r
ev
io
u
s
l
y
u
s
i
n
g
ca
m
o
u
f
la
g
ed
s
eg
m
e
n
tatio
n
[
4
4
]
.
Dev
ices
'
co
n
s
u
m
p
tio
n
o
f
en
er
g
y
is
o
b
s
er
v
ed
i
n
m
ea
n
t
i
m
e
f
o
r
ch
ar
ac
ter
izin
g
ef
f
icac
y
o
f
C
a
m
o
u
f
la
g
ed
s
eg
m
en
tatio
n
.
E
s
p
r
ess
i
f
I
o
T
d
ev
elo
p
m
e
n
t
f
r
a
m
e
w
o
r
k
(
E
SP
-
I
DF
)
p
latf
o
r
m
w
as
u
s
ed
f
o
r
w
r
i
tin
g
ap
p
licatio
n
w
h
ic
h
w
a
s
w
r
itte
n
i
n
C
++
w
it
h
i
n
s
tallatio
n
o
f
lib
r
ar
ies
o
f
te
n
s
o
r
f
lo
w
lite
m
icr
o
.
I
n
d
iv
id
u
a
l
co
n
tr
o
l
o
f
t
w
o
s
e
p
ar
ate
C
P
U
co
r
es
o
f
E
SP
3
2
is
g
i
v
en
w
h
ich
ar
e
r
u
n
n
in
g
at
8
0
to
2
4
0
MH
z
ad
j
u
s
tab
le
f
r
eq
u
en
c
y
.
T
h
is
w
i
l
l
h
elp
f
o
r
tr
an
s
f
o
r
m
i
n
g
a
n
d
s
e
n
s
i
n
g
ap
p
licatio
n
as
t
w
o
s
ep
ar
ate
task
s
e
x
ec
u
ted
o
n
t
w
o
d
i
f
f
er
en
t
C
P
U
co
r
es.
A
d
ata
p
r
o
d
u
ce
r
,
w
h
ich
i
s
o
n
e
th
r
ea
d
th
at
ca
p
tu
r
e
s
co
n
ti
n
u
o
u
s
d
ata
f
r
o
m
s
e
n
s
o
r
s
w
h
ile
a
n
o
th
er
th
r
ea
d
w
o
r
k
s
as
d
ata
co
n
s
u
m
er
b
y
p
er
f
o
r
m
i
n
g
m
o
d
els
o
f
M
L
f
o
r
r
e
m
o
v
in
g
d
ata
-
s
en
s
iti
v
e
in
f
o
r
m
atio
n
[
4
5
]
.
4
0
0
K
B
o
f
R
A
M
an
d
4
MB
o
f
f
la
s
h
R
O
M
is
u
s
ed
b
y
t
h
e
v
er
s
io
n
o
f
E
SP
3
2
.
T
esn
o
r
Flo
w
lite
m
o
d
el
ca
n
d
ir
ec
tl
y
s
to
r
e
in
f
la
s
h
m
e
m
o
r
y
d
u
e
to
it
s
r
ep
r
esen
tatio
n
b
y
a
s
tatic
s
et
o
f
in
s
tr
u
c
tio
n
s
an
d
w
e
ig
h
t
s
alo
g
w
i
th
co
m
p
o
n
en
t
s
o
f
f
ir
m
w
ar
e
t
h
at
r
esu
lt
in
a
m
o
d
el
o
f
in
s
tallab
le
s
ize
s
o
m
e
w
h
at
r
ed
u
ce
d
th
an
4
MB
.
3
.
2
.
Da
t
a
s
et
s
T
w
o
o
p
en
l
y
ac
c
e
s
s
ib
le
d
ataset
s
Mo
tio
n
Se
n
s
e
[
4
6
]
an
d
Mo
b
iA
ct
[
4
7
]
ar
e
u
s
ed
f
o
r
co
n
d
u
cti
o
n
o
f
th
e
ex
p
er
i
m
e
n
ts
.
T
h
e
i
n
f
o
r
m
atio
n
is
g
a
th
er
ed
f
r
o
m
a
n
iP
h
o
n
e
6
s
in
t
h
e
ap
p
lican
t’
s
f
r
o
n
t
p
o
ck
et
in
a
n
d
is
in
c
lu
d
ed
in
Mo
tio
n
Se
n
s
e.
I
t
also
co
m
p
r
is
es
in
f
o
r
m
at
io
n
f
r
o
m
v
ir
tu
al
s
en
s
o
r
s
lik
e
as
attitu
d
e
(
p
itch
,
r
o
ll,
an
d
y
a
w
)
an
d
g
r
av
it
y
w
h
ic
h
ar
e
tak
e
n
f
r
o
m
s
o
f
t
w
ar
e
elab
o
r
atio
n
,
alo
n
g
w
i
th
g
y
r
o
s
co
p
e
an
d
tr
ia
x
ial
ac
ce
ler
o
m
e
ter
as
n
a
tiv
e
s
en
s
o
r
s
,
co
m
m
o
n
l
y
av
a
ilab
le
i
n
t
h
e
cu
r
r
en
t
s
m
ar
tp
h
o
n
e
s
.
T
h
e
f
o
cu
s
o
f
t
h
e
w
o
r
k
i
s
o
n
t
h
e
p
er
f
o
r
m
a
n
ce
o
f
th
e
I
o
T
d
ev
ices
h
a
v
i
n
g
v
er
y
lo
w
p
er
f
o
r
m
a
n
ce
w
h
ic
h
w
a
s
n
o
t
p
o
s
s
ib
le
to
co
m
p
u
te
u
s
in
g
v
ir
t
u
al
s
e
n
s
o
r
,
t
h
e
d
ata
co
m
in
g
f
r
o
m
o
n
l
y
n
ati
v
e
s
e
n
s
o
r
s
is
co
n
s
id
er
ed
f
o
r
th
e
e
x
p
er
i
m
e
n
ts
.
T
h
e
d
atasets
co
n
s
is
t
o
f
to
tal
o
f
2
4
p
ar
ticip
an
ts
w
h
ic
h
co
n
s
is
ts
1
4
m
a
les
a
n
d
1
0
f
e
m
ale
s
c
o
n
s
is
tin
g
o
f
a
v
er
ag
e
a
g
e
2
9
an
d
m
i
n
i
m
u
m
a
n
d
m
ax
i
m
u
m
ag
e
o
f
1
8
an
d
3
5
r
e
s
p
ec
tiv
el
y
,
w
h
er
ea
s
th
e
a
v
er
ag
e
w
eig
h
t
i
s
7
2
k
g
an
d
m
in
i
m
u
m
w
e
ig
h
t
is
4
0
kg
an
d
m
a
x
i
m
u
m
w
ei
g
h
t
i
s
1
0
0
k
g
w
h
ile
t
h
e
a
v
er
ag
e
h
ei
g
h
t
is
1
7
4
cm
a
n
d
m
a
x
i
m
u
m
h
e
ig
h
t
is
1
9
0
c
m
an
d
m
i
n
i
m
u
m
h
eig
h
t
i
s
1
6
1
cm
.
T
h
e
p
ar
ticip
an
ts
p
er
f
o
r
m
ed
s
i
x
d
if
f
er
e
n
t
ac
ti
v
itie
s
in
t
h
e
f
i
f
tee
n
tr
ials
i
n
th
e
s
a
m
e
co
n
d
itio
n
s
an
d
th
e
e
n
v
ir
o
n
m
en
ts
li
k
e
as
s
ta
n
d
in
g
,
s
itti
n
g
,
jo
g
g
i
n
g
,
w
al
k
in
g
,
u
p
s
ta
ir
s
,
an
d
d
o
w
n
s
tair
s
.
Fo
r
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
I
SS
N:
2089
-
4864
I
n
q
u
is
itive
b
io
metric fe
a
tu
r
e
a
n
a
lysi
s
a
n
d
imp
leme
n
ta
tio
n
fo
r
r
ec
o
g
n
itio
n
…
(
Ma
h
esh
S
h
a
n
ka
r
r
a
o
P
a
til
)
125
m
o
d
el
s
test
i
n
g
an
d
tr
ain
i
n
g
,
ea
ch
tr
i
al
s
eg
m
en
t
is
d
iv
id
ed
in
to
th
e
s
eg
m
e
n
ts
o
f
s
lid
i
n
g
win
d
o
w
o
f
5
0
p
o
in
ts
w
h
ic
h
co
r
r
esp
o
n
d
s
to
1
s
ec
o
n
d
w
it
h
7
5
%.
C
h
o
o
s
in
g
t
h
e
p
er
ce
n
tag
e
o
f
o
v
er
lap
an
d
t
i
m
e
w
i
n
d
o
w
s
ize
is
n
o
n
tr
iv
ial
ta
s
k
as
t
h
e
ti
m
e
w
i
n
d
o
w
le
n
g
t
h
i
m
p
ac
ts
t
h
e
m
o
d
el
’
s
class
i
f
icatio
n
p
er
f
o
r
m
a
n
ce
.
Fo
r
ex
a
m
p
le,
i
n
H
AR
w
o
r
k
s
,
liter
atu
r
e
u
s
es
d
i
f
f
er
e
n
t
w
i
n
d
o
w
le
n
g
th
s
r
an
g
in
g
f
r
o
m
1
to
3
0
s
[
3
9
]
.
7
5
%
o
f
o
v
er
lap
an
d
1
-
s
ec
o
n
d
ti
m
e
w
i
n
d
o
w
w
a
s
u
s
ed
in
t
h
is
s
tu
d
y
w
h
ic
h
w
as
p
r
o
p
o
s
ed
by
Z
h
a
n
g
et
a
l
.
[
2
1
]
f
o
r
co
m
p
ar
in
g
w
i
th
t
h
eir
w
o
r
k
d
ir
ec
tl
y
.
Data
co
llected
f
r
o
m
t
h
e
o
r
ien
tat
io
n
,
g
y
r
o
s
co
p
e
an
d
ac
ce
ler
o
m
eter
s
e
n
s
o
r
s
o
f
a
S
a
m
s
u
n
g
Gala
x
y
S3
s
m
ar
tp
h
o
n
e
co
n
s
i
s
ted
b
y
Mo
b
iA
ct
d
ataset.
5
7
in
d
iv
id
u
als
ar
e
u
s
ed
f
o
r
co
llectin
g
th
e
d
a
ta
w
h
ile
t
h
e
y
w
er
e
p
er
f
o
r
m
in
g
d
if
f
er
en
t
ac
tio
n
s
.
P
ar
ticu
lar
l
y
,
th
ese
d
ataset
o
b
jectiv
es
to
r
ep
r
o
d
u
ce
d
ay
to
d
a
y
ac
tio
n
s
b
y
h
a
v
i
n
g
ap
p
lican
ts
tr
an
s
f
er
th
e
s
m
ar
tp
h
o
n
e
in
a
lo
o
s
e
p
o
ck
et
w
it
h
ar
b
itra
r
y
alig
n
m
e
n
t.
T
h
e
s
en
s
o
r
o
f
th
e
g
eo
m
a
g
n
e
tic
f
ield
an
d
ac
ce
ler
o
m
eter
ar
e
s
en
s
o
r
s
f
r
o
m
w
h
er
e
in
f
o
r
m
at
io
n
is
d
er
iv
ed
b
y
th
e
alig
n
m
en
t
s
en
s
o
r
,
an
d
it
d
ep
en
d
s
u
p
o
n
th
e
s
o
f
t
w
ar
e.
So
f
t
w
ar
e
s
en
s
o
r
s
ar
e
n
o
t
co
n
s
id
er
ed
b
ec
au
s
e
o
f
litt
le
co
m
p
u
ta
tio
n
ab
ilit
ies
o
f
o
u
r
tar
g
et
d
ev
ices
i
n
ca
s
e
o
f
Mo
tio
n
Sen
s
e.
Data
w
a
s
g
at
h
er
ed
f
r
o
m
3
0
f
e
m
ales
an
d
1
4
m
a
les
t
o
talin
g
4
4
s
u
b
j
ec
ts
w
h
ic
h
is
o
u
r
d
ataset
th
at
is
s
u
b
s
et
f
o
r
th
e
co
m
p
ar
is
o
n
o
f
m
et
h
o
d
b
y
u
s
w
ith
m
e
th
o
d
d
escr
ib
ed
in
Z
h
an
g
et
a
l
.
[
2
1
]
.
T
h
ese
s
u
b
j
ec
ts
en
g
a
g
ed
in
d
i
f
f
er
e
n
t
ac
tiv
itie
s
lik
e
j
o
g
g
in
g
,
w
al
k
in
g
,
u
p
s
tair
s
,
an
d
d
o
w
n
s
tair
s
.
T
h
e
av
er
ag
e
a
g
e
o
f
p
ar
ticip
an
ts
is
2
5
y
ea
r
s
,
r
an
g
in
g
f
r
o
m
2
0
y
ea
r
s
to
4
7
y
ea
r
s
,
av
er
ag
e
w
ei
g
h
t
o
f
7
7
k
g
r
an
g
in
g
f
o
r
m
m
in
i
m
u
m
o
f
5
0
k
g
to
m
ax
i
m
u
m
1
2
0
k
g
,
an
d
av
er
ag
e
h
eig
h
t
o
f
1
7
6
cm
,
w
h
er
ea
s
m
i
n
i
m
u
m
o
f
1
5
8
cm
a
n
d
m
a
x
i
m
u
m
o
f
1
9
3
cm
.
E
ac
h
tr
ial
is
d
iv
id
ed
in
to
s
ec
tio
n
s
b
y
a
g
lid
in
g
le
n
g
t
h
o
f
w
i
n
d
o
w
o
f
5
0
p
o
in
ts
w
it
h
o
v
e
r
lap
o
f
7
5
% in
ca
s
e
o
f
Mo
tio
n
Sen
s
e
d
ata
s
et.
4.
RE
SU
L
T
AND
DI
SCUS
SI
O
N
T
h
is
s
ec
tio
n
d
escr
ib
es,
ef
f
ici
en
c
y
o
f
p
r
iv
ac
y
p
r
eser
v
i
n
g
i
n
H
A
R
a
n
d
ef
f
icien
c
y
o
f
e
n
er
g
y
o
f
t
h
e
p
r
o
j
ec
ted
m
et
h
o
d
is
ch
ar
ac
ter
ized
b
y
e
x
p
er
i
m
e
n
ts
p
er
f
o
r
m
e
d
an
d
p
r
esen
ted
h
er
e.
T
ab
le
1
co
n
s
is
ts
o
f
r
e
s
u
l
ts
o
f
r
ec
o
g
n
i
tio
n
o
b
tain
ed
b
y
th
e
m
o
d
el.
T
h
e
m
o
d
er
n
H
A
R
r
e
g
r
ess
io
n
a
n
d
clas
s
if
icatio
n
i
s
r
e
p
r
esen
ted
h
er
e.
T
h
e
in
itial
s
et
o
f
d
ata
i
s
s
ep
ar
ated
in
to
‘
test
’
a
n
d
‘
tr
ain
’
i
n
w
h
ic
h
2
5
%
is
u
tili
s
ed
as
te
s
t
d
ata
a
n
d
7
5
%
is
u
s
ed
as
a
tr
ain
i
n
g
s
et
an
d
tes
tin
g
a
n
d
tr
ain
in
g
o
f
t
h
e
p
r
o
p
o
s
ed
m
o
d
el
u
s
i
n
g
th
e
o
r
i
g
in
a
l
d
atasets
is
d
o
n
e.
T
ab
le
2
co
n
s
is
ts
o
f
r
es
u
lt
o
f
p
er
f
o
r
m
a
n
ce
o
n
Mo
b
i
A
ct
d
ataset
b
y
m
u
ltip
le
f
ea
tu
r
e
o
b
f
u
s
ca
to
r
s
.
T
h
e
f
i
v
e
d
iv
er
s
e
s
ee
d
s
o
f
an
ar
b
itra
r
y
p
r
o
d
u
ce
r
w
it
h
5
ti
m
e
s
ar
e
p
er
f
o
r
m
ed
w
it
h
tr
ain
i
n
g
-
te
s
ti
n
g
p
r
o
ce
d
u
r
e
to
h
av
e
f
i
v
e
d
i
f
f
er
en
t
d
atasets
,
w
h
ic
h
ar
e
d
iv
id
ed
to
ev
alu
ate
th
e
r
o
b
u
s
tn
e
s
s
o
f
th
e
ap
p
r
o
ac
h
.
T
h
e
m
ea
s
u
r
e
m
en
t
o
f
d
etec
tio
n
o
u
tco
m
es
o
f
m
alicio
u
s
m
o
d
e
ls
af
ter
an
d
b
ef
o
r
e
th
e
co
n
v
er
s
io
n
,
f
o
r
ev
al
u
ati
n
g
ca
p
ab
ilit
y
o
f
o
b
f
u
s
ca
ti
n
g
s
en
s
iti
v
e
in
f
o
r
m
atio
n
,
w
h
ic
h
is
a
p
p
lied
th
r
o
u
g
h
th
e
ca
m
o
u
f
lag
ed
s
eg
m
e
n
tatio
n
.
T
h
e
p
r
o
j
ec
te
d
m
eth
o
d
is
co
n
s
id
er
ed
as
in
e
f
f
ec
ti
v
e
i
n
d
ef
en
d
i
n
g
t
h
e
s
en
s
iti
v
e
i
n
f
o
r
m
atio
n
o
f
u
s
er
i
f
t
h
e
d
r
o
p
in
t
h
e
r
ec
o
g
n
i
tio
n
ca
p
ab
ilit
y
is
v
er
y
n
e
g
li
g
ib
le
.
On
th
e
co
n
tr
ar
y
,
th
e
ap
p
r
o
p
r
i
aten
es
s
o
f
th
e
p
r
o
jecte
d
tech
n
iq
u
e
is
ce
r
tif
ied
b
y
th
e
h
i
g
h
d
r
o
p
.
T
ab
le
1
.
R
esu
lts
o
f
m
o
d
el’
s
ch
ar
ac
ter
izatio
n
M
o
d
e
l
M
e
a
su
r
e
M
o
t
i
o
n
s
e
n
se
S
i
z
e
(
M
B
)
A
c
t
i
v
i
t
y
A
c
c
u
r
a
c
y
0
.
9
9
2
±
0
.
0
0
3
1
0
.
8
G
e
n
d
e
r
A
c
c
u
r
a
c
y
0
.
9
9
6
±
0
.
0
0
2
2
0
4
.
5
A
g
e
(
y
e
a
r
s
)
M
A
E
0
.
3
7
5
±
0
.
0
4
6
8
.
6
H
e
i
g
h
t
(
c
m)
M
A
E
1
.
6
2
2
±
0
.
1
8
5
9
6
.
2
W
e
i
g
h
t
(
k
g
)
M
A
E
1
.
2
2
4
±
0
.
1
3
2
1
1
6
.
1
T
ab
le
2
.
Mu
ltip
le
attr
ib
u
tes o
b
f
u
s
ca
to
r
p
er
f
o
r
m
an
ce
o
n
Mo
b
i
A
ct
d
atase
t
M
o
d
e
l
M
e
a
su
r
e
M
o
t
i
o
n
s
e
n
se
S
i
z
e
(
M
B
)
A
c
t
i
v
i
t
y
A
c
c
u
r
a
c
y
0
.
9
2
6
±
0
.
0
0
2
0
.
1
6
3
G
e
n
d
e
r
A
c
c
u
r
a
c
y
0
.
9
5
2
±
0
.
1
0
0
0
.
7
0
2
A
g
e
(
y
e
a
r
s
)
M
A
E
1
.
3
6
4
±
0
.
1
2
1
3
.
0
6
1
H
e
i
g
h
t
(
c
m)
M
A
E
4
.
0
8
1
±
0
.
1
5
5
4
.
6
2
4
W
e
i
g
h
t
(
k
g
)
M
A
E
4
.
6
3
6
±
0
.
2
5
0
2
.
5
2
1
5.
CO
NCLU
SI
O
N
Hu
m
an
ac
tiv
it
y
s
p
ec
if
ic
p
atte
r
n
r
ec
o
g
n
i
tio
n
h
as
g
ai
n
i
n
g
at
ten
tio
n
in
v
ar
io
u
s
ap
p
licatio
n
s
s
tar
ti
n
g
f
r
o
m
s
m
ar
t
h
o
m
e
s
to
h
ea
lth
ca
r
e
d
u
e
to
g
r
o
w
in
g
d
i
f
f
u
s
io
n
o
f
m
o
b
ile
an
d
w
ea
r
ab
le
d
ev
ice
s
ar
m
ed
w
ith
v
ar
io
u
s
s
en
s
o
r
t
y
p
es
l
ik
e
as
m
a
g
n
eto
m
eter
s
,
g
y
r
o
s
co
p
es
a
n
d
ac
ce
le
r
o
m
eter
s
.
T
h
e
in
f
er
en
ce
ab
o
u
t
v
ar
io
u
s
ac
ti
v
itie
s
at
h
ig
h
le
v
el
s
o
f
ac
c
u
r
ac
y
ar
e
al
lo
w
ed
w
h
e
n
m
o
d
els
o
f
d
ee
p
l
ea
r
n
in
g
ar
e
in
ten
d
ed
to
i
m
p
le
m
en
ted
o
n
ex
i
s
ti
n
g
s
en
s
o
r
.
T
h
e
task
s
o
f
c
lass
if
ic
atio
n
s
ar
e
o
f
te
n
p
r
ese
n
ted
to
clo
u
d
o
r
ed
g
e
co
m
p
u
ti
n
g
d
e
v
ices
b
ec
au
s
e
o
f
t
h
e
co
m
p
u
tatio
n
al
an
d
en
er
g
y
b
u
r
d
en
s
r
eq
u
ir
ed
b
y
th
e
m
o
d
er
n
n
eu
r
al
n
et
w
o
r
k
ar
ch
itect
u
r
es
w
h
ic
h
ex
p
o
s
e
u
s
er
s
f
o
r
leak
in
g
s
en
s
iti
v
e
d
ata
o
r
in
f
o
r
m
atio
n
.
Fo
r
p
r
o
tectin
g
th
e
p
r
iv
ac
y
o
f
th
e
u
s
er
co
n
ce
r
n
i
n
g
t
h
e
in
f
er
en
ce
o
f
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
9
-
4864
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
,
Vo
l.
1
5
,
No
.
1
,
Ma
r
c
h
202
6
:
1
1
9
-
129
126
th
e
p
r
iv
ate
d
ata
f
r
o
m
s
tr
ea
m
s
o
f
th
e
s
e
n
s
o
r
li
k
e
as
g
e
n
d
er
,
ag
e,
h
ei
g
h
t
a
n
d
w
ei
g
h
t
u
s
in
g
ca
m
o
u
f
la
g
ed
s
eg
m
e
n
tatio
n
o
f
d
ee
p
lear
n
in
g
ap
p
r
o
ac
h
is
p
r
esen
ted
in
th
is
s
tu
d
y
.
T
o
tr
an
s
f
o
r
m
th
e
s
i
g
n
al
n
eu
r
al
n
et
w
o
r
k
s
o
f
th
is
t
y
p
e
ar
e
tr
ain
ed
i
n
s
u
ch
a
w
a
y
t
h
at
t
h
e
d
ata
co
u
ld
in
cr
ea
s
e
th
e
p
r
iv
ac
y
b
r
ea
ch
es
w
h
i
ch
ar
e
f
il
ter
ed
o
u
t.
Si
m
u
lt
a
n
eo
u
s
l
y
,
ac
ti
v
it
y
r
ec
o
g
n
i
tio
n
s
r
ev
ea
li
n
g
p
o
r
tio
n
is
k
ep
t.
T
o
allo
w
th
e
p
o
r
tin
g
o
n
th
e
lo
w
p
o
w
er
I
o
T
p
latf
o
r
m
s
s
e
g
m
en
tatio
n
ar
ch
it
ec
tu
r
es
o
f
ca
m
o
u
f
la
g
ed
h
as
b
ee
n
f
i
n
e
tu
n
ed
an
d
to
ch
ar
ac
ter
i
ze
th
e
p
er
f
o
r
m
a
n
c
e
co
m
p
lete
l
y
its
co
n
s
u
m
p
tio
n
o
f
en
er
g
y
also
h
as
b
ee
n
m
e
asu
r
ed
.
T
h
e
ab
ilit
y
o
f
t
h
e
p
r
o
j
ec
ted
s
y
s
te
m
s
f
o
r
o
b
f
u
s
ca
ti
n
g
s
i
g
n
al
f
o
r
th
e
in
f
e
r
en
ce
o
f
s
en
s
i
tiv
e
attr
ib
u
tes
wh
ile
k
ee
p
i
n
g
h
ig
h
ac
cu
r
ac
y
le
v
els
in
H
A
R
tas
k
s
is
v
alid
ated
b
y
t
h
e
co
m
p
r
eh
e
n
s
i
v
e
s
et
o
f
ex
p
er
i
m
en
tal
r
esu
l
ts
.
I
n
d
ee
d
,
c
o
m
p
lete
n
eu
tr
aliza
t
i
o
n
o
f
th
e
p
r
iv
ac
y
r
elate
d
in
f
er
en
ce
i
n
t
h
e
ex
p
er
i
m
en
tal
s
et
u
p
is
ac
h
ie
v
ed
w
it
h
a
m
o
d
est
(
5
%
m
a
x
i
m
u
m
)
d
ec
r
ea
s
e
in
ac
cu
r
ac
y
.
A
t
t
h
e
s
a
m
e
ti
m
e,
t
h
e
f
ea
s
ib
ilit
y
o
f
t
h
is
ap
p
r
o
ac
h
in
p
ar
ticu
lar
w
ea
r
ab
le
ap
p
licatio
n
s
is
s
h
o
w
ed
th
r
o
u
g
h
i
m
p
lan
tatio
n
o
n
a
lo
w
p
o
w
er
I
o
T
o
r
em
b
ed
d
ed
d
ev
ice
k
ee
p
in
g
t
h
e
b
est
tr
ad
e
o
f
f
b
et
w
ee
n
ac
cu
r
ac
y
lo
s
s
an
d
m
ax
i
m
u
m
co
n
s
u
m
p
tio
n
o
f
e
n
er
g
y
o
f
1
6
5
.
2
4
0
m
J
d
u
r
in
g
th
e
ex
ec
u
tio
n
o
f
t
h
e
o
b
f
u
s
c
atio
n
tas
k
w
ith
a
n
o
b
f
u
s
ca
tio
n
late
n
c
y
o
f
ar
o
u
n
d
3
0
m
s
.
F
UNDIN
G
I
NF
O
RM
AT
I
O
N
Au
t
h
o
r
s
s
tate
n
o
f
u
n
d
i
n
g
i
n
v
o
l
v
ed
.
AUTHO
R
CO
NT
RIB
UT
I
O
NS ST
A
T
E
M
E
NT
T
h
is
j
o
u
r
n
al
u
s
e
s
th
e
C
o
n
tr
ib
u
to
r
R
o
les
T
ax
o
n
o
m
y
(
C
R
ed
iT
)
to
r
ec
o
g
n
ize
in
d
i
v
id
u
al
au
th
o
r
co
n
tr
ib
u
tio
n
s
,
r
ed
u
ce
au
t
h
o
r
s
h
ip
d
is
p
u
tes,
an
d
f
ac
ilit
ate
co
lla
b
o
r
atio
n
.
Na
m
e
o
f
Aut
ho
r
C
M
So
Va
Fo
I
R
D
O
E
Vi
Su
P
Fu
Ma
h
es
h
S
h
an
k
ar
r
ao
P
atil
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
Har
s
h
a
J
.
Sar
o
d
e
✓
✓
✓
✓
✓
✓
✓
A
b
h
ij
it B
an
u
b
ak
o
d
e
✓
✓
✓
✓
✓
✓
✓
P
r
ak
ash
T
u
k
ar
a
m
P
atil
✓
✓
✓
✓
✓
Nu
ta
n
P
atil
✓
✓
✓
✓
✓
Vij
ay
a
k
u
m
ar
Var
ad
ar
a
j
an
✓
✓
✓
✓
✓
Desh
i
n
ta
A
r
r
o
v
a
De
w
i
✓
✓
✓
✓
✓
C
:
C
o
n
c
e
p
t
u
a
l
i
z
a
t
i
o
n
M
:
M
e
t
h
o
d
o
l
o
g
y
So
:
So
f
t
w
a
r
e
Va
:
Va
l
i
d
a
t
i
o
n
Fo
:
Fo
r
mal
a
n
a
l
y
si
s
I
:
I
n
v
e
st
i
g
a
t
i
o
n
R
:
R
e
so
u
r
c
e
s
D
:
D
a
t
a
C
u
r
a
t
i
o
n
O
:
W
r
i
t
i
n
g
-
O
r
i
g
i
n
a
l
D
r
a
f
t
E
:
W
r
i
t
i
n
g
-
R
e
v
i
e
w
&
E
d
i
t
i
n
g
Vi
:
Vi
su
a
l
i
z
a
t
i
o
n
Su
:
Su
p
e
r
v
i
si
o
n
P
:
P
r
o
j
e
c
t
a
d
mi
n
i
st
r
a
t
i
o
n
Fu
:
Fu
n
d
i
n
g
a
c
q
u
i
si
t
i
o
n
CO
NF
L
I
C
T
O
F
I
N
T
E
R
E
S
T
ST
A
T
E
M
E
NT
Au
t
h
o
r
s
s
tate
n
o
co
n
f
lic
t o
f
i
n
t
er
est.
DATA AV
AI
L
AB
I
L
I
T
Y
Data
av
ailab
ilit
y
i
s
n
o
t
ap
p
licab
le
to
th
is
p
ap
er
as
n
o
n
e
w
d
ata
w
er
e
cr
ea
ted
o
r
an
al
y
ze
d
in
th
i
s
s
tu
d
y
.
RE
F
E
R
E
NC
E
S
[
1
]
K
.
G
o
p
i
n
a
t
h
a
n
d
L
.
P
.
S
a
i
,
“
A
st
u
d
y
o
n
t
h
e
p
o
si
t
i
o
n
i
n
g
o
f
t
h
e
b
r
a
n
d
v
a
r
i
a
n
t
s
b
y
smar
t
w
a
t
c
h
ma
n
u
f
a
c
t
u
r
e
r
s:
a
t
e
c
h
n
o
me
t
r
i
c
s
a
p
p
r
o
a
c
h
,
”
T
e
c
h
n
o
l
o
g
y
An
a
l
y
si
s
a
n
d
S
t
r
a
t
e
g
i
c
M
a
n
a
g
e
m
e
n
t
,
v
o
l
.
3
5
,
n
o
.
6
,
p
p
.
6
8
9
–
7
0
3
,
2
0
2
3
,
d
o
i
:
1
0
.
1
0
8
0
/
0
9
5
3
7
3
2
5
.
2
0
2
1
.
1
9
8
0
2
1
0
.
[
2
]
G
r
a
n
d
V
i
e
w
R
e
se
a
r
c
h
,
“
W
e
a
r
a
b
l
e
t
e
c
h
n
o
l
o
g
y
mark
e
t
si
z
e
,
s
h
a
r
e
a
n
d
t
r
e
n
d
s
a
n
a
l
y
si
s
r
e
p
o
r
t
b
y
p
r
o
d
u
c
t
,
”
g
r
a
n
d
v
i
e
w
r
e
se
a
r
c
h
.
c
o
m
.
[
O
n
l
i
n
e
]
.
A
v
a
i
l
a
b
l
e
:
h
t
t
p
s:
/
/
w
w
w
.
g
r
a
n
d
v
i
e
w
r
e
se
a
r
c
h
.
c
o
m/
i
n
d
u
st
r
y
-
a
n
a
l
y
s
i
s/
w
e
a
r
a
b
l
e
-
t
e
c
h
n
o
l
o
g
y
-
mark
e
t
,
(
A
c
c
e
sse
d
:
Jan
.
2
9
,
2
0
2
4
)
.
[
3
]
T
.
P
o
o
n
g
o
d
i
,
R
.
K
r
i
sh
n
a
m
u
r
t
h
i
,
R
.
I
n
d
r
a
k
u
mar
i
,
P
.
S
u
r
e
sh
,
a
n
d
B
.
B
a
l
u
s
a
my
,
“
W
e
a
r
a
b
l
e
d
e
v
i
c
e
s
a
n
d
I
o
T
,
”
I
n
t
e
l
l
i
g
e
n
t
S
y
st
e
m
s
Re
f
e
re
n
c
e
L
i
b
r
a
ry
,
v
o
l
.
1
6
5
,
p
p
.
2
4
5
–
2
7
3
,
2
0
2
0
,
d
o
i
:
1
0
.
1
0
0
7
/
9
7
8
-
3
-
030
-
2
3
9
8
3
-
1
_
1
0
.
[
4
]
K
.
C
h
e
n
,
D
.
Z
h
a
n
g
,
L
.
Y
a
o
,
B
.
G
u
o
,
Z
.
Y
u
,
a
n
d
Y
.
L
i
u
,
“
D
e
e
p
l
e
a
r
n
i
n
g
f
o
r
se
n
so
r
-
b
a
se
d
h
u
ma
n
a
c
t
i
v
i
t
y
r
e
c
o
g
n
i
t
i
o
n
:
O
v
e
r
v
i
e
w
,
c
h
a
l
l
e
n
g
e
s,
a
n
d
o
p
p
o
r
t
u
n
i
t
i
e
s,”
AC
M
C
o
m
p
u
t
i
n
g
S
u
r
v
e
y
s
,
v
o
l
.
5
4
,
n
o
.
4
,
p
p
.
1
–
4
0
,
2
0
2
2
,
d
o
i
:
1
0
.
1
1
4
5
/
3
4
4
7
7
4
4
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
I
SS
N:
2089
-
4864
I
n
q
u
is
itive
b
io
metric fe
a
tu
r
e
a
n
a
lysi
s
a
n
d
imp
leme
n
ta
tio
n
fo
r
r
ec
o
g
n
itio
n
…
(
Ma
h
esh
S
h
a
n
ka
r
r
a
o
P
a
til
)
127
[
5
]
Z
.
Q
i
a
n
e
t
a
l
.
,
“
D
e
v
e
l
o
p
me
n
t
o
f
a
R
e
a
l
-
T
i
me
W
e
a
r
a
b
l
e
F
a
l
l
D
e
t
e
c
t
i
o
n
S
y
st
e
m i
n
t
h
e
C
o
n
t
e
x
t
o
f
I
n
t
e
r
n
e
t
o
f
T
h
i
n
g
s
,
”
I
EEE
I
n
t
e
rn
e
t
o
f
T
h
i
n
g
s
J
o
u
r
n
a
l
,
v
o
l
.
9
,
n
o
.
2
1
,
p
p
.
2
1
9
9
9
–
2
2
0
0
7
,
2
0
2
2
,
d
o
i
:
1
0
.
1
1
0
9
/
JI
O
T
.
2
0
2
2
.
3
1
8
1
7
0
1
.
[
6
]
A
.
H
u
ssai
n
,
S
.
U
.
K
h
a
n
,
N
.
K
h
a
n
,
M
.
S
h
a
b
a
z
,
a
n
d
S
.
W
.
B
a
i
k
,
“
A
I
-
d
r
i
v
e
n
b
e
h
a
v
i
o
r
b
i
o
me
t
r
i
c
s
f
r
a
me
w
o
r
k
f
o
r
r
o
b
u
st
h
u
m
a
n
a
c
t
i
v
i
t
y
r
e
c
o
g
n
i
t
i
o
n
i
n
su
r
v
e
i
l
l
a
n
c
e
sy
st
e
ms,”
En
g
i
n
e
e
r
i
n
g
A
p
p
l
i
c
a
t
i
o
n
s
o
f
Art
i
f
i
c
i
a
l
I
n
t
e
l
l
i
g
e
n
c
e
,
v
o
l
.
1
2
7
,
p
.
1
0
7
2
1
8
,
2
0
2
4
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
e
n
g
a
p
p
a
i
.
2
0
2
3
.
1
0
7
2
1
8
.
[
7
]
S
.
A
l
z
a
h
r
a
n
i
,
J
.
A
l
d
e
r
a
a
n
,
D
.
A
l
a
t
a
w
i
,
a
n
d
B
.
A
l
o
t
a
i
b
i
,
“
C
o
n
t
i
n
u
o
u
s
M
o
b
i
l
e
U
se
r
A
u
t
h
e
n
t
i
c
a
t
i
o
n
U
si
n
g
a
H
y
b
r
i
d
C
N
N
-
Bi
-
L
S
T
M
A
p
p
r
o
a
c
h
,
”
C
o
m
p
u
t
e
rs,
Ma
t
e
r
i
a
l
s
a
n
d
C
o
n
t
i
n
u
a
,
v
o
l
.
7
5
,
n
o
.
1
,
p
p
.
6
5
1
–
6
6
7
,
2
0
2
3
,
d
o
i
:
1
0
.
3
2
6
0
4
/
c
m
c
.
2
0
2
3
.
0
3
5
1
7
3
.
[
8
]
R
.
A
l
o
u
f
i
,
H
.
H
a
d
d
a
d
i
,
a
n
d
D
.
B
o
y
l
e
,
“
P
a
r
a
l
i
n
g
u
i
s
t
i
c
P
r
i
v
a
c
y
P
r
o
t
e
c
t
i
o
n
a
t
t
h
e
Ed
g
e
,
”
A
C
M
T
ra
n
s
a
c
t
i
o
n
s
o
n
Pr
i
v
a
c
y
a
n
d
S
e
c
u
ri
t
y
,
v
o
l
.
2
6
,
n
o
.
2
,
p
p
.
1
–
2
7
,
2
0
2
3
,
d
o
i
:
1
0
.
1
1
4
5
/
3
5
7
0
1
6
1
.
[
9
]
P
.
B
a
g
g
a
,
A
.
M
i
t
r
a
,
A
.
K
.
D
a
s,
P
.
V
i
j
a
y
a
k
u
m
a
r
,
Y
.
H
.
P
a
r
k
,
a
n
d
M
.
K
a
r
u
p
p
i
a
h
,
“
S
e
c
u
r
e
b
i
o
me
t
r
ic
-
b
a
se
d
a
c
c
e
ss
c
o
n
t
r
o
l
sch
e
me
f
o
r
f
u
t
u
r
e
I
o
T
-
e
n
a
b
l
e
d
c
l
o
u
d
-
a
ssi
s
t
e
d
v
i
d
e
o
su
r
v
e
i
l
l
a
n
c
e
sy
st
e
m,”
C
o
m
p
u
t
e
r
C
o
m
m
u
n
i
c
a
t
i
o
n
s
,
v
o
l
.
1
9
5
,
p
p
.
2
7
–
3
9
,
2
0
2
2
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
c
o
mco
m.
2
0
2
2
.
0
8
.
0
0
3
.
[
1
0
]
L
.
C
a
u
sa
,
J
.
E.
T
a
p
i
a
,
A
.
V
a
l
e
n
z
u
e
l
a
,
D
.
B
e
n
a
l
c
a
z
a
r
,
E.
L
.
D
r
o
g
u
e
t
t
,
a
n
d
C
.
B
u
sc
h
,
“
A
n
a
l
y
si
s
o
f
b
e
h
a
v
i
o
u
r
a
l
c
u
r
v
e
s
t
o
c
l
a
ss
i
f
y
i
r
i
s
i
mag
e
s
u
n
d
e
r
t
h
e
i
n
f
l
u
e
n
c
e
o
f
a
l
c
o
h
o
l
,
d
r
u
g
s
,
a
n
d
sl
e
e
p
i
n
e
ss
c
o
n
d
i
t
i
o
n
s,
”
Ex
p
e
rt
S
y
st
e
m
s
w
i
t
h
A
p
p
l
i
c
a
t
i
o
n
s
,
v
o
l
.
2
4
2
,
p
.
1
2
2
8
0
8
,
2
0
2
4
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
e
sw
a
.
2
0
2
3
.
1
2
2
8
0
8
.
[
1
1
]
L
.
Z
h
a
n
g
,
W
.
C
u
i
,
B
.
L
i
,
Z
.
C
h
e
n
,
M
.
W
u
,
a
n
d
T
.
S
.
G
e
e
,
“
P
r
i
v
a
c
y
-
P
r
e
s
e
r
v
i
n
g
C
r
o
ss
-
E
n
v
i
r
o
n
me
n
t
H
u
ma
n
A
c
t
i
v
i
t
y
R
e
c
o
g
n
i
t
i
o
n
,
”
I
EEE
T
r
a
n
s
a
c
t
i
o
n
s
o
n
C
y
b
e
rn
e
t
i
c
s
,
v
o
l
.
5
3
,
n
o
.
3
,
p
p
.
1
7
6
5
–
1
7
7
5
,
2
0
2
3
,
d
o
i
:
1
0
.
1
1
0
9
/
T
C
Y
B
.
2
0
2
1
.
3
1
2
6
8
3
1
.
[
1
2
]
E.
A
n
t
w
i
-
B
o
a
si
a
k
o
,
S
.
Z
h
o
u
,
Y
.
L
i
a
o
,
Q
.
L
i
u
,
Y
.
W
a
n
g
,
a
n
d
K
.
O
w
u
su
-
A
g
y
e
man
g
,
“
P
r
i
v
a
c
y
p
r
e
s
e
r
v
a
t
i
o
n
i
n
D
i
st
r
i
b
u
t
e
d
D
e
e
p
L
e
a
r
n
i
n
g
:
A
su
r
v
e
y
o
n
D
i
st
r
i
b
u
t
e
d
D
e
e
p
L
e
a
r
n
i
n
g
,
p
r
i
v
a
c
y
p
r
e
se
r
v
a
t
i
o
n
t
e
c
h
n
i
q
u
e
s
u
se
d
a
n
d
i
n
t
e
r
e
st
i
n
g
r
e
se
a
r
c
h
d
i
r
e
c
t
i
o
n
s,
”
J
o
u
rn
a
l
o
f
I
n
f
o
rm
a
t
i
o
n
S
e
c
u
r
i
t
y
a
n
d
A
p
p
l
i
c
a
t
i
o
n
s
,
v
o
l
.
6
1
,
p
.
1
0
2
9
4
9
,
2
0
2
1
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
j
i
s
a
.
2
0
2
1
.
1
0
2
9
4
9
.
[
1
3
]
J.
L
i
u
,
Z
.
Z
h
a
o
,
P
.
L
i
,
G
.
M
i
n
,
a
n
d
H
.
L
i
,
“
En
h
a
n
c
e
d
Em
b
e
d
d
e
d
A
u
t
o
En
c
o
d
e
r
s:
A
n
A
t
t
r
i
b
u
t
e
-
P
r
e
se
r
v
i
n
g
F
a
c
e
D
e
-
I
d
e
n
t
i
f
i
c
a
t
i
o
n
F
r
a
mew
o
r
k
,
”
I
EEE
I
n
t
e
r
n
e
t
o
f
T
h
i
n
g
s
J
o
u
r
n
a
l
,
v
o
l
.
1
0
,
n
o
.
1
1
,
p
p
.
9
4
3
8
–
9
4
5
2
,
2
0
2
3
,
d
o
i
:
1
0
.
1
1
0
9
/
JI
O
T
.
2
0
2
3
.
3
2
3
5
7
2
5
.
[
1
4
]
D
.
B
a
n
k
,
N
.
K
o
e
n
i
g
st
e
i
n
,
a
n
d
R
.
G
i
r
y
e
s,
“
A
u
t
o
e
n
c
o
d
e
r
s,”
a
rX
i
v
p
r
e
p
r
i
n
t
,
2
0
2
0
,
d
o
i
:
1
0
.
4
8
5
5
0
/
a
r
X
i
v
.
2
0
0
3
.
0
5
9
9
1
.
[
1
5
]
G
.
S
c
h
r
a
m,
R
.
W
a
n
g
,
a
n
d
K
.
L
i
a
n
g
,
“
U
si
n
g
A
u
t
o
e
n
c
o
d
e
r
s
o
n
D
i
f
f
e
r
e
n
t
i
a
l
l
y
P
r
i
v
a
t
e
F
e
d
e
r
a
t
e
d
L
e
a
r
n
i
n
g
G
A
N
s,
”
a
r
Xi
v
p
r
e
p
ri
n
t
,
2
0
2
2
,
d
o
i
:
1
0
.
4
8
5
5
0
/
a
r
X
i
v
.
2
2
0
6
.
1
2
2
7
0
.
[
1
6
]
P
.
D
e
n
g
,
C
.
G
e
,
H
.
W
e
i
,
Y
.
S
u
n
,
a
n
d
X
.
Q
i
a
o
,
“
M
u
l
t
i
mo
d
a
l
c
o
n
t
r
a
s
t
i
v
e
l
e
a
r
n
i
n
g
f
o
r
f
a
c
e
a
n
t
i
-
s
p
o
o
f
i
n
g
,
”
E
n
g
i
n
e
e
ri
n
g
Ap
p
l
i
c
a
t
i
o
n
s
o
f
Art
i
f
i
c
i
a
l
I
n
t
e
l
l
i
g
e
n
c
e
,
v
o
l
.
1
2
9
,
p
.
1
0
7
6
0
0
,
2
0
2
4
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
e
n
g
a
p
p
a
i
.
2
0
2
3
.
1
0
7
6
0
0
.
[
1
7
]
A
.
A
.
S
.
M
o
h
a
m
ma
d
e
t
a
l
.
,
“
S
t
r
a
t
e
g
i
e
s
f
o
r
a
p
p
l
y
i
n
g
i
n
t
e
r
p
r
e
t
a
b
l
e
a
n
d
e
x
p
l
a
i
n
a
b
l
e
A
I
i
n
r
e
a
l
w
o
r
l
d
I
o
T
a
p
p
l
i
c
a
t
i
o
n
s
,
”
D
i
s
c
o
v
e
r
I
n
t
e
r
n
e
t
o
f
T
h
i
n
g
s
,
v
o
l
.
5
,
p
.
7
1
,
2
0
2
5
,
d
o
i
:
1
0
.
1
0
0
7
/
s4
3
9
2
6
-
0
2
5
-
0
0
1
5
5
-
z.
[
1
8
]
K
.
S
h
a
h
e
e
d
,
P
.
S
z
c
z
u
k
o
,
M
.
K
u
mar,
I
.
Q
u
r
e
sh
i
,
Q
.
A
b
b
a
s,
a
n
d
I
.
U
l
l
a
h
,
“
D
e
e
p
l
e
a
r
n
i
n
g
t
e
c
h
n
i
q
u
e
s
f
o
r
b
i
o
m
e
t
r
i
c
se
c
u
r
i
t
y
:
A
sy
st
e
mat
i
c
r
e
v
i
e
w
o
f
p
r
e
se
n
t
a
t
i
o
n
a
t
t
a
c
k
d
e
t
e
c
t
i
o
n
sy
st
e
ms,”
En
g
i
n
e
e
ri
n
g
A
p
p
l
i
c
a
t
i
o
n
s
o
f
Ar
t
i
f
i
c
i
a
l
I
n
t
e
l
l
i
g
e
n
c
e
,
v
o
l
.
1
2
9
,
p
.
1
0
7
5
6
9
,
2
0
2
4
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
e
n
g
a
p
p
a
i
.
2
0
2
3
.
1
0
7
5
6
9
.
[
1
9
]
A
.
B
o
u
t
e
t
,
C
.
F
r
i
n
d
e
l
,
S
.
G
a
mb
s,
T
.
Jo
u
r
d
a
n
,
a
n
d
R
.
C
.
N
g
u
e
v
e
u
,
“
D
y
S
a
n
:
D
y
n
a
mi
c
a
l
l
y
S
a
n
i
t
i
z
i
n
g
M
o
t
i
o
n
S
e
n
so
r
D
a
t
a
a
g
a
i
n
st
S
e
n
si
t
i
v
e
I
n
f
e
r
e
n
c
e
s
t
h
r
o
u
g
h
A
d
v
e
r
sari
a
l
N
e
t
w
o
r
k
s,”
i
n
A
S
I
A
C
C
S
2
0
2
1
-
Pro
c
e
e
d
i
n
g
s
o
f
t
h
e
2
0
2
1
A
C
M
Asi
a
C
o
n
f
e
re
n
c
e
o
n
C
o
m
p
u
t
e
r
a
n
d
C
o
m
m
u
n
i
c
a
t
i
o
n
s
S
e
c
u
r
i
t
y
,
2
0
2
1
,
p
p
.
6
7
2
–
6
8
6
,
d
o
i
:
1
0
.
1
1
4
5
/
3
4
3
3
2
1
0
.
3
4
5
3
0
9
5
.
[
2
0
]
L
.
L
y
u
,
X
.
H
e
,
Y
.
W
.
L
a
w
,
a
n
d
M
.
P
a
l
a
n
i
sw
a
mi
,
“
P
r
i
v
a
c
y
-
p
r
e
serv
i
n
g
c
o
l
l
a
b
o
r
a
t
i
v
e
d
e
e
p
l
e
a
r
n
i
n
g
w
i
t
h
a
p
p
l
i
c
a
t
i
o
n
t
o
h
u
ma
n
a
c
t
i
v
i
t
y
r
e
c
o
g
n
i
t
i
o
n
,
”
i
n
I
n
t
e
r
n
a
t
i
o
n
a
l
C
o
n
f
e
r
e
n
c
e
o
n
I
n
f
o
rm
a
t
i
o
n
a
n
d
K
n
o
w
l
e
d
g
e
M
a
n
a
g
e
m
e
n
t
,
Pro
c
e
e
d
i
n
g
s
,
2
0
1
7
,
p
p
.
1
2
1
9
–
1
2
2
8
,
d
o
i
:
1
0
.
1
1
4
5
/
3
1
3
2
8
4
7
.
3
1
3
2
9
9
0
.
[
2
1
]
D
.
Z
h
a
n
g
,
L
.
Y
a
o
,
K
.
C
h
e
n
,
Z
.
Y
a
n
g
,
X
.
G
a
o
,
a
n
d
Y
.
L
i
u
,
“
P
r
e
v
e
n
t
i
n
g
S
e
n
s
i
t
i
v
e
I
n
f
o
r
mat
i
o
n
L
e
a
k
a
g
e
f
r
o
m M
o
b
i
l
e
S
e
n
so
r
S
i
g
n
a
l
s
v
i
a
I
n
t
e
g
r
a
t
i
v
e
T
r
a
n
sf
o
r
mat
i
o
n
,
”
I
E
EE
T
ra
n
sa
c
t
i
o
n
s
o
n
Mo
b
i
l
e
C
o
m
p
u
t
i
n
g
,
v
o
l
.
2
1
,
n
o
.
1
2
,
p
p
.
4
5
1
7
–
4
5
2
8
,
2
0
2
2
,
d
o
i
:
1
0
.
1
1
0
9
/
T
M
C
.
2
0
2
1
.
3
0
7
8
0
8
6
.
[
2
2
]
A
.
G
a
r
a
i
n
,
R
.
D
a
w
n
,
S
.
S
i
n
g
h
,
a
n
d
C
.
C
h
o
w
d
h
u
r
y
,
“
D
i
f
f
e
r
e
n
t
i
a
l
l
y
p
r
i
v
a
t
e
h
u
ma
n
a
c
t
i
v
i
t
y
r
e
c
o
g
n
i
t
i
o
n
f
o
r
sm
a
r
t
p
h
o
n
e
u
se
r
s,”
Mu
l
t
i
m
e
d
i
a
T
o
o
l
s
a
n
d
Ap
p
l
i
c
a
t
i
o
n
s
,
v
o
l
.
8
1
,
n
o
.
2
8
,
p
p
.
4
0
8
2
7
–
4
0
8
4
8
,
2
0
2
2
,
d
o
i
:
1
0
.
1
0
0
7
/
s
1
1
0
4
2
-
0
2
2
-
1
3
1
8
5
-
4.
[
2
3
]
P
.
C
l
i
me
n
t
-
P
é
r
e
z
a
n
d
F
.
F
l
o
r
e
z
-
R
e
v
u
e
l
t
a
,
“
P
r
i
v
a
c
y
-
P
r
e
serv
i
n
g
H
u
ma
n
A
c
t
i
o
n
R
e
c
o
g
n
i
t
i
o
n
w
i
t
h
a
M
a
n
y
-
O
b
j
e
c
t
i
v
e
Ev
o
l
u
t
i
o
n
a
r
y
A
l
g
o
r
i
t
h
m
,
”
S
e
n
s
o
rs
,
v
o
l
.
2
2
,
n
o
.
3
,
p
.
7
6
4
,
2
0
2
2
,
d
o
i
:
1
0
.
3
3
9
0
/
s2
2
0
3
0
7
6
4
.
[
2
4
]
S
.
M
e
n
a
sr
i
a
,
M
.
L
u
,
a
n
d
A
.
D
a
h
o
u
,
“
P
G
A
N
f
r
a
mew
o
r
k
f
o
r
s
y
n
t
h
e
si
z
i
n
g
s
e
n
so
r
d
a
t
a
p
r
i
v
a
t
e
l
y
,
”
J
o
u
r
n
a
l
o
f
I
n
f
o
rm
a
t
i
o
n
S
e
c
u
r
i
t
y
a
n
d
Ap
p
l
i
c
a
t
i
o
n
s
,
v
o
l
.
6
7
,
p
.
1
0
3
2
0
4
,
2
0
2
2
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
j
i
sa.
2
0
2
2
.
1
0
3
2
0
4
.
[
2
5
]
M
.
M
a
l
e
k
z
a
d
e
h
,
R
.
G
.
C
l
e
g
g
,
a
n
d
H
.
H
a
d
d
a
d
i
,
“
R
e
p
l
a
c
e
me
n
t
a
u
t
o
e
n
c
o
d
e
r
:
a
p
r
i
v
a
c
y
-
p
r
e
s
e
r
v
i
n
g
a
l
g
o
r
i
t
h
m
f
o
r
se
n
so
r
y
d
a
t
a
a
n
a
l
y
si
s,”
a
rX
i
v
p
r
e
p
r
i
n
t
,
2
0
1
7
,
d
o
i
:
1
0
.
1
1
0
9
/
I
o
T
D
I
.
2
0
1
8
.
0
0
0
2
5
.
[
2
6
]
M
.
M
a
l
e
k
z
a
d
e
h
,
A
.
C
a
v
a
l
l
a
r
o
,
R
.
G
.
C
l
e
g
g
,
a
n
d
H
.
H
a
d
d
a
d
i
,
“
P
r
o
t
e
c
t
i
n
g
se
n
so
r
y
d
a
t
a
a
g
a
i
n
st
se
n
s
i
t
i
v
e
i
n
f
e
r
e
n
c
e
s,”
i
n
Pro
c
e
e
d
i
n
g
s o
f
t
h
e
W
o
rks
h
o
p
o
n
Pri
v
a
c
y
b
y
D
e
si
g
n
i
n
D
i
st
r
i
b
u
t
e
d
S
y
s
t
e
m
s,
P2
D
S
2
0
1
8
,
c
o
-
l
o
c
a
t
e
d
w
i
t
h
E
u
r
o
p
e
a
n
C
o
n
f
e
re
n
c
e
o
n
C
o
m
p
u
t
e
r
S
y
st
e
m
s,
E
u
r
o
S
y
s
2
0
1
8
,
2
0
1
8
,
d
o
i
:
1
0
.
1
1
4
5
/
3
1
9
5
2
5
8
.
3
1
9
5
2
6
0
.
[
2
7
]
P
.
D
e
l
g
a
d
o
-
S
a
n
t
o
s,
R
.
T
o
l
o
san
a
,
R
.
G
u
e
st
,
R
.
V
e
r
a
-
R
o
d
r
i
g
u
e
z
,
F
.
D
e
r
a
v
i
,
a
n
d
A
.
M
o
r
a
l
e
s,
“
G
a
i
t
P
r
i
v
a
c
y
O
N
:
P
r
i
v
a
c
y
-
p
r
e
serv
i
n
g
mo
b
i
l
e
g
a
i
t
b
i
o
me
t
r
i
c
s
u
s
i
n
g
u
n
s
u
p
e
r
v
i
se
d
l
e
a
r
n
i
n
g
,
”
P
a
t
t
e
r
n
Re
c
o
g
n
i
t
i
o
n
L
e
t
t
e
rs
,
v
o
l
.
1
6
1
,
p
p
.
3
0
–
3
7
,
2
0
2
2
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
p
a
t
r
e
c
.
2
0
2
2
.
0
7
.
0
1
5
.
[
2
8
]
S
.
A
b
b
a
s
i
,
M
.
F
a
mo
u
r
i
,
M
.
J
.
S
h
a
f
i
e
e
,
a
n
d
A
.
W
o
n
g
,
“
O
u
t
l
i
e
r
n
e
t
s:
H
i
g
h
l
y
c
o
mp
a
c
t
d
e
e
p
a
u
t
o
e
n
c
o
d
e
r
n
e
t
w
o
r
k
a
r
c
h
i
t
e
c
t
u
r
e
s
f
o
r
on
-
d
e
v
i
c
e
a
c
o
u
st
i
c
a
n
o
m
a
l
y
d
e
t
e
c
t
i
o
n
,
”
S
e
n
so
rs
,
v
o
l
.
2
1
,
n
o
.
1
4
,
p
.
4
8
0
5
,
2
0
2
1
,
d
o
i
:
1
0
.
3
3
9
0
/
s
2
1
1
4
4
8
0
5
.
[
2
9
]
H
.
R
e
n
,
D
.
A
n
i
c
i
c
,
a
n
d
T
.
A
.
R
u
n
k
l
e
r
,
“
T
i
n
y
O
L
:
T
i
n
y
M
L
w
i
t
h
O
n
l
i
n
e
-
L
e
a
r
n
i
n
g
o
n
M
i
c
r
o
c
o
n
t
r
o
l
l
e
r
s,”
i
n
P
ro
c
e
e
d
i
n
g
s
o
f
t
h
e
I
n
t
e
r
n
a
t
i
o
n
a
l
J
o
i
n
t
C
o
n
f
e
r
e
n
c
e
o
n
N
e
u
ra
l
N
e
t
w
o
rks
,
2
0
2
1
,
d
o
i
:
1
0
.
1
1
0
9
/
I
J
C
N
N
5
2
3
8
7
.
2
0
2
1
.
9
5
3
3
9
2
7
.
[
3
0
]
A
.
A
l
sal
e
mi
,
Y
.
H
i
me
u
r
,
F
.
B
e
n
sa
a
l
i
,
a
n
d
A
.
A
mi
r
a
,
“
A
n
i
n
n
o
v
a
t
i
v
e
e
d
g
e
-
b
a
se
d
I
n
t
e
r
n
e
t
o
f
E
n
e
r
g
y
so
l
u
t
i
o
n
f
o
r
p
r
o
mo
t
i
n
g
e
n
e
r
g
y
sav
i
n
g
i
n
b
u
i
l
d
i
n
g
s,”
S
u
st
a
i
n
a
b
l
e
C
i
t
i
e
s a
n
d
S
o
c
i
e
t
y
,
v
o
l
.
7
8
,
p
.
1
0
3
5
7
1
,
2
0
2
2
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
s
c
s.
2
0
2
1
.
1
0
3
5
7
1
.
[
3
1
]
D
.
V
.
B
r
a
t
u
,
R
.
Ş
.
T
.
I
l
i
n
o
i
u
,
A
.
C
r
i
s
t
e
a
,
M
.
A
.
Z
o
l
y
a
,
a
n
d
S
.
A
.
M
o
r
a
r
u
,
“
A
n
o
mal
y
D
e
t
e
c
t
i
o
n
U
si
n
g
Ed
g
e
C
o
mp
u
t
i
n
g
A
I
o
n
L
o
w
P
o
w
e
r
e
d
D
e
v
i
c
e
s,”
i
n
I
FI
P
Ad
v
a
n
c
e
s i
n
I
n
f
o
rm
a
t
i
o
n
a
n
d
C
o
m
m
u
n
i
c
a
t
i
o
n
T
e
c
h
n
o
l
o
g
y
,
2
0
2
2
,
p
p
.
9
6
–
107
,
d
o
i
:
1
0
.
1
0
0
7
/
9
7
8
-
3
-
0
3
1
-
0
8
3
3
3
-
4
_
8
.
[
3
2
]
A
.
S
a
t
h
i
a
mo
o
r
t
h
y
,
S
.
M
i
t
h
u
s
a
n
,
R
.
R
a
t
h
n
a
y
a
k
a
,
S
.
K
a
j
e
n
t
h
i
r
a
n
,
M
.
M
.
H
a
n
s
i
k
a
,
a
n
d
D
.
P
a
n
d
i
t
h
a
g
e
,
“
S
t
r
e
a
mS
a
f
e
:
I
mp
r
o
v
i
n
g
Q
o
S
a
n
d
S
e
c
u
r
i
t
y
i
n
I
o
T
N
e
t
w
o
r
k
s,”
I
n
t
e
r
n
a
t
i
o
n
a
l
Re
s
e
a
rc
h
J
o
u
r
n
a
l
o
f
I
n
n
o
v
a
t
i
o
n
s
i
n
E
n
g
i
n
e
e
ri
n
g
a
n
d
T
e
c
h
n
o
l
o
g
y
,
v
o
l
.
7
,
n
o
.
1
1
,
p
.
1
7
0
,
2
0
2
3
.
[
3
3
]
S
.
S
.
H
a
mm
a
d
,
D
.
I
sk
a
n
d
a
r
y
a
n
,
a
n
d
S
.
T
r
i
l
l
e
s,
“
A
n
u
n
s
u
p
e
r
v
i
se
d
T
i
n
y
M
L
a
p
p
r
o
a
c
h
a
p
p
l
i
e
d
t
o
t
h
e
d
e
t
e
c
t
i
o
n
o
f
u
r
b
a
n
n
o
i
s
e
a
n
o
mal
i
e
s
u
n
d
e
r
t
h
e
sm
a
r
t
c
i
t
i
e
s
e
n
v
i
r
o
n
me
n
t
,
”
I
n
t
e
r
n
e
t
o
f
T
h
i
n
g
s
(
N
e
t
h
e
rl
a
n
d
s)
,
v
o
l
.
2
3
,
p
.
1
0
0
8
4
8
,
2
0
2
3
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
i
o
t
.
2
0
2
3
.
1
0
0
8
4
8
.
[
3
4
]
H
.
V
.
D
u
d
u
k
c
u
a
n
d
M
.
T
a
sk
i
r
a
n
,
“
EC
G
d
a
t
a
a
n
o
mal
i
e
s
d
e
t
e
c
t
i
o
n
w
i
t
h
st
a
c
k
e
d
a
u
t
o
e
n
c
o
d
e
r
o
n
l
o
w
p
o
w
e
r
a
n
d
l
o
w
m
e
mo
r
y
mi
c
r
o
c
o
n
t
r
o
l
l
e
r
s,”
i
n
Cu
rr
e
n
t
Re
s
e
a
r
c
h
i
n
E
n
g
i
n
e
e
ri
n
g
,
S
.
B
a
r
d
a
k
a
n
d
U
.
A
y
a
t
a
,
E
d
s.,
A
n
k
a
r
a
:
G
e
c
e
K
i
t
a
p
l
ı
ğ
ı
,
2
0
2
3
,
c
h
.
1
4
,
p
p
.
2
7
5
–
2
8
9
.
[
3
5
]
E.
O
l
i
v
e
r
,
R
.
Y
u
e
,
a
n
d
A
.
D
u
t
t
a
,
“
A
S
e
c
u
r
e
V
i
t
a
l
s
M
o
n
i
t
o
r
i
n
g
P
o
i
n
t
-
of
-
C
a
r
e
D
e
v
i
c
e
,
”
i
n
Pr
o
c
e
e
d
i
n
g
s
o
f
t
h
e
A
n
n
u
a
l
I
n
t
e
r
n
a
t
i
o
n
a
l
C
o
n
f
e
re
n
c
e
o
f
t
h
e
I
EE
E
E
n
g
i
n
e
e
ri
n
g
i
n
M
e
d
i
c
i
n
e
a
n
d
B
i
o
l
o
g
y
S
o
c
i
e
t
y
,
EM
BS
,
2
0
2
3
,
p
p
.
1
–
4
,
d
o
i
:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
9
-
4864
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
,
Vo
l.
1
5
,
No
.
1
,
Ma
r
c
h
202
6
:
1
1
9
-
129
128
1
0
.
1
1
0
9
/
E
M
B
C
4
0
7
8
7
.
2
0
2
3
.
1
0
3
4
0
7
6
8
.
[
3
6
]
W
.
L
i
n
,
M
.
X
u
,
J.
H
e
,
a
n
d
W
.
Z
h
a
n
g
,
“
P
r
i
v
a
c
y
,
se
c
u
r
i
t
y
a
n
d
r
e
si
l
i
e
n
c
e
i
n
mo
b
i
l
e
h
e
a
l
t
h
c
a
r
e
a
p
p
l
i
c
a
t
i
o
n
s,
”
E
n
t
e
rp
ri
s
e
I
n
f
o
rm
a
t
i
o
n
S
y
s
t
e
m
s
,
v
o
l
.
1
7
,
n
o
.
3
,
p
.
1
9
3
9
8
9
6
,
2
0
2
3
,
d
o
i
:
1
0
.
1
0
8
0
/
1
7
5
1
7
5
7
5
.
2
0
2
1
.
1
9
3
9
8
9
6
.
[
3
7
]
Q
.
L
i
n
,
"
D
e
v
e
l
o
p
i
n
g
w
e
a
r
a
b
l
e
a
p
p
l
i
c
a
t
i
o
n
s
w
i
t
h
i
n
n
o
v
a
t
i
v
e
se
n
si
n
g
mo
d
a
l
i
t
i
e
s fo
r
h
u
ma
n
a
c
t
i
v
i
t
y
r
e
c
o
g
n
i
t
i
o
n
a
n
d
k
e
y
g
e
n
e
r
a
t
i
o
n
,
"
P
h
.
D
.
d
i
sse
r
t
a
t
i
o
n
,
U
n
i
v
e
r
si
t
y
o
f
N
e
w
S
o
u
t
h
W
a
l
e
s,
S
y
d
n
e
y
,
A
u
st
r
a
l
i
a
,
2
0
2
0
.
[
3
8
]
M
.
A
.
Jan
e
t
a
l
.
,
“
L
i
g
h
t
w
e
i
g
h
t
M
u
t
u
a
l
A
u
t
h
e
n
t
i
c
a
t
i
o
n
a
n
d
P
r
i
v
a
c
y
-
P
r
e
s
e
r
v
a
t
i
o
n
S
c
h
e
me
f
o
r
I
n
t
e
l
l
i
g
e
n
t
W
e
a
r
a
b
l
e
D
e
v
i
c
e
s
i
n
I
n
d
u
st
r
i
a
l
-
C
P
S
,
”
I
E
EE
T
r
a
n
s
a
c
t
i
o
n
s
o
n
I
n
d
u
st
r
i
a
l
I
n
f
o
rm
a
t
i
c
s
,
v
o
l
.
1
7
,
n
o
.
8
,
p
p
.
5
8
2
9
–
5
8
3
9
,
2
0
2
1
,
d
o
i
:
1
0
.
1
1
0
9
/
TI
I
.
2
0
2
0
.
3
0
4
3
8
0
2
.
[
3
9
]
E.
L
a
t
t
a
n
z
i
,
M
.
D
o
n
a
t
i
,
a
n
d
V
.
F
r
e
sch
i
,
“
Ex
p
l
o
r
i
n
g
A
r
t
i
f
i
c
i
a
l
N
e
u
r
a
l
N
e
t
w
o
r
k
s
Ef
f
i
c
i
e
n
c
y
i
n
T
i
n
y
W
e
a
r
a
b
l
e
D
e
v
i
c
e
s
f
o
r
H
u
m
a
n
A
c
t
i
v
i
t
y
R
e
c
o
g
n
i
t
i
o
n
,
”
S
e
n
so
rs
,
v
o
l
.
2
2
,
n
o
.
7
,
p
.
2
6
3
7
,
2
0
2
2
,
d
o
i
:
1
0
.
3
3
9
0
/
s
2
2
0
7
2
6
3
7
.
[
4
0
]
C
.
C
o
n
t
o
l
i
a
n
d
E.
L
a
t
t
a
n
z
i
,
“
A
S
t
u
d
y
o
n
t
h
e
A
p
p
l
i
c
a
t
i
o
n
o
f
T
e
n
so
r
F
l
o
w
C
o
mp
r
e
ssi
o
n
T
e
c
h
n
i
q
u
e
s
t
o
H
u
ma
n
A
c
t
i
v
i
t
y
R
e
c
o
g
n
i
t
i
o
n
,
”
I
E
EE
A
c
c
e
ss
,
v
o
l
.
1
1
,
p
p
.
4
8
0
4
6
–
4
8
0
5
8
,
2
0
2
3
,
d
o
i
:
1
0
.
1
1
0
9
/
A
C
C
ESS
.
2
0
2
3
.
3
2
7
6
4
3
8
.
[
4
1
]
T
e
n
so
r
F
l
o
w
,
“
T
e
n
so
r
F
l
o
w
O
f
f
i
c
i
a
l
W
e
b
si
t
e
.
”
[
O
n
l
i
n
e
]
.
A
v
a
i
l
a
b
l
e
:
h
t
t
p
:
/
/
w
w
w
.
t
e
n
so
r
f
l
o
w
.
o
r
g
/
?
h
l
=
e
n
(
A
c
c
e
sse
d
:
Ju
n
.
2
2
,
2
0
2
3
).
[
4
2
]
Esp
r
e
ssi
f
,
“
ESP
3
2
C3
-
W
R
O
O
M
-
0
2
D
a
t
a
s
h
e
e
t
.
”
[
O
n
l
i
n
e
]
.
A
v
a
i
l
a
b
l
e
:
h
t
t
p
s:
/
/
w
w
w
.
e
sp
r
e
ssi
f
.
c
o
m/
e
n
/
su
p
p
o
r
t
/
d
o
c
u
me
n
t
s
/
t
e
c
h
n
i
c
a
l
-
d
o
c
u
me
n
t
s
,
(
A
c
c
e
sse
d
:
Ju
n
.
2
2
,
2
0
2
3
)
.
[
4
3
]
S
.
G
i
r
may
,
F
.
S
a
mso
m,
a
n
d
A
.
M
.
K
h
a
t
t
a
k
,
“
A
I
b
a
se
d
L
o
g
i
n
S
y
st
e
m
u
si
n
g
F
a
c
i
a
l
R
e
c
o
g
n
i
t
i
o
n
,
”
i
n
2
0
2
1
5
t
h
C
y
b
e
r
S
e
c
u
ri
t
y
i
n
N
e
t
w
o
rk
i
n
g
C
o
n
f
e
re
n
c
e
,
C
S
N
e
t
2
0
2
1
,
2
0
2
1
,
p
p
.
1
0
7
–
1
0
9
,
d
o
i
:
1
0
.
1
1
0
9
/
C
S
N
e
t
5
2
7
1
7
.
2
0
2
1
.
9
6
1
4
2
8
1
.
[
4
4
]
M
.
Y
.
S
.
K
r
i
sh
n
a
,
A
.
A
r
y
a
,
S
.
A
n
sari
,
S
.
A
w
a
s
y
a
,
J.
S
u
sh
a
k
a
r
,
a
n
d
N
.
U
i
k
e
y
,
“
R
e
a
l
T
i
me
D
o
o
r
U
n
l
o
c
k
i
n
g
S
y
st
e
m
u
si
n
g
F
a
c
i
a
l
B
i
o
me
t
r
i
c
s
b
a
se
d
o
n
I
o
T
a
n
d
P
y
t
h
o
n
,
”
i
n
2
0
2
3
I
E
EE
I
n
t
e
r
n
a
t
i
o
n
a
l
S
t
u
d
e
n
t
s’
C
o
n
f
e
r
e
n
c
e
o
n
E
l
e
c
t
r
i
c
a
l
,
El
e
c
t
r
o
n
i
c
s
a
n
d
C
o
m
p
u
t
e
r
S
c
i
e
n
c
e
,
S
C
EEC
S
2
0
2
3
,
2
0
2
3
,
p
p
.
1
–
5
,
d
o
i
:
1
0
.
1
1
0
9
/
S
C
E
EC
S
5
7
9
2
1
.
2
0
2
3
.
1
0
0
6
3
1
4
2
.
[
4
5
]
M
.
M
a
l
e
k
z
a
d
e
h
,
R
.
G
.
C
l
e
g
g
,
A
.
C
a
v
a
l
l
a
r
o
,
a
n
d
H
.
H
a
d
d
a
d
i
,
“
M
o
b
i
l
e
se
n
so
r
d
a
t
a
a
n
o
n
y
mi
z
a
t
i
o
n
,
”
i
n
I
o
T
D
I
2
0
1
9
-
Pro
c
e
e
d
i
n
g
s
o
f
t
h
e
2
0
1
9
I
n
t
e
r
n
e
t
o
f
T
h
i
n
g
s D
e
si
g
n
a
n
d
I
m
p
l
e
m
e
n
t
a
t
i
o
n
,
2
0
1
9
,
p
p
.
4
9
–
58
,
d
o
i
:
1
0
.
1
1
4
5
/
3
3
0
2
5
0
5
.
3
3
1
0
0
6
8
.
[
4
6
]
H
.
M
e
d
d
e
b
,
Z
.
A
b
d
e
l
l
a
o
u
i
,
a
n
d
F
.
H
o
u
a
i
d
i
,
“
D
e
v
e
l
o
p
me
n
t
o
f
s
u
r
v
e
i
l
l
a
n
c
e
r
o
b
o
t
b
a
se
d
o
n
f
a
c
e
r
e
c
o
g
n
i
t
i
o
n
u
si
n
g
R
a
s
p
b
e
r
r
y
-
P
I
a
n
d
I
o
T
,
”
Mi
c
r
o
p
ro
c
e
ss
o
rs
a
n
d
M
i
c
r
o
sys
t
e
m
s
,
v
o
l
.
9
6
,
p
.
1
0
4
7
2
8
,
2
0
2
3
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
m
i
c
p
r
o
.
2
0
2
2
.
1
0
4
7
2
8
.
[
4
7
]
W
.
H
.
T
a
n
,
F
.
W
a
h
a
b
,
F
.
M
a
t
,
C
.
K
.
C
h
a
n
,
a
n
d
R
.
J
.
T
e
o
h
,
“
S
o
u
n
d
a
b
so
r
p
t
i
o
n
c
o
e
f
f
i
c
i
e
n
t
me
a
s
u
r
e
me
n
t
a
n
d
a
n
a
l
y
si
s
f
o
r
mu
l
t
i
se
c
t
i
o
n
p
e
r
f
o
r
a
t
i
o
n
m
i
c
r
o
p
e
r
f
o
r
a
t
e
d
p
a
n
e
l
,
”
J
o
u
rn
a
l
o
f
M
e
c
h
a
n
i
c
a
l
S
c
i
e
n
c
e
a
n
d
T
e
c
h
n
o
l
o
g
y
,
v
o
l
.
3
8
,
n
o
.
6
,
p
p
.
2
7
9
7
–
2
8
0
3
,
2
0
2
4
,
d
o
i
:
1
0
.
1
0
0
7
/
s1
2
2
0
6
-
0
2
4
-
2
2
1
0
-
6.
B
I
O
G
RAP
H
I
E
S O
F
AUTH
O
RS
M
a
h
e
sh
S
h
a
n
k
a
r
r
a
o
Pa
til
re
c
e
iv
e
d
h
is
B.
E.
d
e
g
re
e
in
El
e
c
tro
n
ics
a
n
d
T
e
le
c
o
m
m
u
n
ica
ti
o
n
s
a
n
d
M
.
E
.
i
n
El
e
c
tro
n
ics
f
ro
m
S
a
v
it
rib
a
i
P
h
u
le
P
u
n
e
Un
iv
e
rsity
,
P
u
n
e
,
In
d
ia
a
n
d
P
h
.
D.
a
t
S
JJ
T
Un
iv
e
rsity
,
Ra
jas
th
a
n
,
In
d
ia.
He
se
rv
e
s
a
s
a
re
v
iew
e
r
f
o
r
m
a
n
y
in
tern
a
ti
o
n
a
l
jo
u
r
n
a
ls.
He
is
f
u
ll
-
ti
m
e
a
ss
istan
t
p
ro
f
e
ss
o
r
a
t
S
c
h
o
o
l
o
f
Bio
e
n
g
in
e
e
rin
g
S
c
ien
c
e
s
a
n
d
Re
se
a
rc
h
,
M
IT
A
D
T
Un
iv
e
rsity
,
P
u
n
e
,
I
n
d
ia.
His
re
se
a
rc
h
li
n
e
s
a
re
sig
n
a
l
p
ro
c
e
ss
in
g
,
im
a
g
e
a
n
d
v
id
e
o
p
ro
c
e
ss
in
g
,
e
m
b
e
d
d
e
d
sy
ste
m
s,
Io
T
,
ro
b
o
ti
c
s,
a
n
d
b
i
o
se
n
s
o
rs
.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
m
p
in
k
.
p
a
ti
l@
g
m
a
il
.
c
o
m
.
H
a
r
s
h
a
J
.
S
a
r
o
d
e
re
c
e
iv
e
d
h
e
r
B.
E
.
d
e
g
re
e
in
El
e
c
tro
n
ics
a
n
d
T
e
le
c
o
m
m
u
n
ica
ti
o
n
s
f
ro
m
Am
ra
v
a
ti
Un
iv
e
rsit
y
a
n
d
M
.
E.
i
n
El
e
c
t
ro
n
ics
f
ro
m
S
a
v
it
rib
a
i
P
h
u
le
P
u
n
e
Un
iv
e
rsity
,
P
u
n
e
,
I
n
d
ia
a
n
d
P
h
.
D.
a
t
S
JJ
T
Un
iv
e
rsit
y
,
Ra
j
a
sth
a
n
,
In
d
ia.
S
h
e
se
rv
e
s
a
s
re
v
ie
w
e
r
f
o
r
m
a
n
y
in
tern
a
ti
o
n
a
l
j
o
u
r
n
a
ls.
S
h
e
is
f
u
ll
-
ti
m
e
a
ss
istan
t
p
r
o
f
e
ss
o
r
a
t
De
p
a
rtm
e
n
t
o
f
El
e
c
tro
n
ics
a
n
d
T
e
lec
o
m
m
u
n
ica
ti
o
n
En
g
i
n
e
e
rin
g
,
Nu
tan
M
a
h
a
ra
sh
tra
In
stit
u
te
o
f
En
g
in
e
e
rin
g
a
n
d
T
e
c
h
n
o
l
o
g
y
,
P
u
n
e
,
I
n
d
ia.
He
r
re
se
a
r
c
h
li
n
e
s
a
re
sig
n
a
l
p
ro
c
e
ss
in
g
,
im
a
g
e
a
n
d
v
id
e
o
p
ro
c
e
ss
in
g
,
m
a
c
h
in
e
lea
rn
in
g
,
a
n
d
d
e
e
p
l
e
a
rn
in
g
.
S
h
e
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
sa
ro
d
e
h
a
rsh
a
2
8
@g
m
a
il
.
c
o
m
.
Abh
iji
t
B
a
n
u
b
a
k
o
d
e
re
c
e
iv
e
d
P
h
.
D.
d
e
g
re
e
in
Co
m
p
u
ter
S
tu
d
i
e
s
f
ro
m
S
y
m
b
io
sis
In
tern
a
ti
o
n
a
l
Un
iv
e
rsit
y
(S
IU),
P
u
n
e
a
n
d
M
.
E
.
d
e
g
re
e
in
C
o
m
p
u
ter
En
g
in
e
e
r
in
g
f
ro
m
S
a
v
it
rib
a
i
P
h
u
le
P
u
n
e
Un
iv
e
rsity
in
2
0
0
5
.
He
is
a
m
e
m
b
e
r
o
f
b
o
a
rd
o
f
stu
d
ies
,
a
c
a
d
e
m
ic
c
o
u
n
c
il
o
f
v
a
rio
u
s
u
n
iv
e
rsiti
e
s.
He
is
a
m
e
m
b
e
r
o
f
n
a
ti
o
n
a
l
a
n
d
in
tern
a
ti
o
n
a
l
p
ro
f
e
ss
io
n
a
l
b
o
d
ies
li
k
e
In
tern
a
ti
o
n
a
l
A
ss
o
c
iatio
n
o
f
Co
m
p
u
ter
S
c
ien
c
e
a
n
d
I
n
f
o
rm
a
ti
o
n
T
e
c
h
n
o
lo
g
y
(IA
CS
I
T
),
IEE
E,
IS
T
E
,
a
n
d
CS
I.
He
is
a
P
h
.
D
.
g
u
id
e
to
d
isti
n
g
u
is
h
e
d
In
d
ian
Un
iv
e
rsiti
e
s
a
n
d
p
re
se
n
ted
1
0
0
+
re
se
a
rc
h
p
a
p
e
rs
a
t
in
tern
a
ti
o
n
a
l
jo
u
rn
a
ls
a
n
d
c
o
n
f
e
r
e
n
c
e
s.
A
u
th
o
re
d
a
w
o
rld
c
las
s
in
tern
a
ti
o
n
a
l
tex
tb
o
o
k
o
f
“
S
p
rin
g
e
r”
,
“
Be
n
th
a
m
S
c
ien
c
e
P
u
b
l
ish
e
rs”
a
n
d
IG
I
G
lo
b
a
l
P
u
b
l
ica
ti
o
n
a
lo
n
g
w
it
h
P
a
ten
ts
a
n
d
Co
p
y
rig
h
t
to
h
is
c
re
d
it
.
He
is
c
u
rre
n
tl
y
w
o
rk
in
g
a
s
Dire
c
to
r
of
Co
m
p
u
ter
S
c
ien
c
e
a
n
d
E
n
g
in
e
e
rin
g
at
P
im
p
ri
Ch
i
n
c
h
w
a
d
Un
iv
e
rsit
y
,
P
u
n
e
.
He
h
a
s
o
v
e
r
2
6
y
e
a
rs
o
f
e
x
p
e
rien
c
e
in
a
c
a
d
e
m
ic
a
n
d
lea
d
e
rsh
ip
r
o
les
.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
a
b
h
ij
it
.
b
a
n
u
b
a
k
o
d
e
@
p
c
u
.
e
d
u
.
i
n
.
Evaluation Warning : The document was created with Spire.PDF for Python.