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m
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tall
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o
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tech
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s
[
1
]
-
[
3
]
.
A
ch
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in
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s
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tiv
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en
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ata
[
7
]
.
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Un
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Un
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th
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ab
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s
t
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ar
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[
8
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[
9
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.
Evaluation Warning : The document was created with Spire.PDF for Python.
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I
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co
r
e
HSMs
w
it
h
f
i
n
ite
-
f
ield
E
C
C
co
r
es
o
p
ti
m
ized
f
o
r
th
e
Ko
b
litz
s
tan
d
ar
d
cu
r
v
e
o
v
er
t
h
e
Galo
is
f
ield
.
I
m
p
le
m
en
ted
o
n
a
f
ield
p
r
o
g
r
a
m
m
ab
le
g
ate
a
r
r
ay
(
FP
G
A
)
[
1
1
]
,
th
e
p
r
o
p
o
s
ed
s
o
lu
tio
n
en
s
u
r
es
ef
f
icien
t
p
r
o
ce
s
s
in
g
,
s
ec
u
r
e
d
a
ta
h
an
d
li
n
g
,
an
d
s
ca
lab
ilit
y
,
m
ee
tin
g
th
e
g
r
o
w
i
n
g
d
e
m
a
n
d
s
o
f
b
ig
d
ata
an
al
y
tics
in
SNM
ap
p
licatio
n
s
.
T
h
e
m
o
t
iv
atio
n
f
o
r
th
i
s
w
o
r
k
co
m
e
s
f
r
o
m
:
−
SNMs
i
n
ea
r
lier
i
m
p
le
m
e
n
tat
io
n
s
o
r
p
r
o
to
ty
p
es
h
av
e
r
elie
d
o
n
A
r
d
u
i
n
o
Un
o
,
w
h
ic
h
,
d
u
e
to
its
li
m
ite
d
p
r
o
ce
s
s
in
g
p
o
w
er
,
m
e
m
o
r
y
,
a
n
d
s
to
r
ag
e,
is
u
n
s
u
itab
le
f
o
r
h
an
d
lin
g
t
h
e
b
ig
d
ata
r
eq
u
ir
ed
i
n
m
o
r
e
ad
v
a
n
ce
d
ap
p
licatio
n
s
.
−
T
h
e
A
r
d
u
in
o
U
n
o
's
li
m
itatio
n
s
h
i
g
h
l
ig
h
t
t
h
e
n
ee
d
f
o
r
m
o
r
e
p
o
w
er
f
u
l
an
d
ef
f
icie
n
t
h
ar
d
w
a
r
e
s
o
lu
tio
n
s
.
I
n
co
n
tr
ast,
th
e
FP
G
A
s
,
w
it
h
th
e
ir
in
h
er
en
t
p
ar
allelis
m
,
ca
n
ap
p
r
o
ac
h
m
u
ltip
le
d
ata
s
tr
ea
m
s
s
i
m
u
lta
n
eo
u
s
l
y
,
s
ig
n
i
f
ica
n
tl
y
u
p
g
r
ad
i
n
g
t
h
r
o
u
g
h
p
u
t a
n
d
ef
f
icie
n
c
y
.
−
FP
GAs
ar
e
th
er
ef
o
r
e
w
ell
-
s
u
i
ted
f
o
r
n
et
w
o
r
k
e
n
v
ir
o
n
m
e
n
t
s
th
at
r
eq
u
ir
e
h
ig
h
-
s
p
ee
d
d
ata
p
r
o
ce
s
s
in
g
a
n
d
r
ea
l
-
ti
m
e
an
al
y
tic
s
.
I
n
ea
r
lier
s
tu
d
ies,
m
an
y
HSM
tech
n
iq
u
es
h
av
e
b
ee
n
d
ep
lo
y
e
d
,
s
u
ch
as
Sa
m
i
et
a
l.
[
1
2
]
d
e
m
o
n
s
tr
ated
th
e
ef
f
icac
y
o
f
th
e
cu
s
to
m
h
ar
d
w
ar
e
s
ec
u
r
it
y
m
o
d
u
le
(
C
HS
M)
in
h
an
d
l
i
n
g
s
ec
u
r
it
y
c
h
alle
n
g
e
s
ass
o
ciate
d
w
it
h
h
eter
o
g
e
n
eo
u
s
i
n
te
g
r
atio
n
in
t
h
e
s
e
m
ico
n
d
u
cto
r
in
d
u
s
tr
y
.
X
ie
et
a
l.
[
1
3
]
p
r
esen
ted
th
e
s
t
ep
w
is
e
d
ec
r
ea
s
i
n
g
-
b
ased
h
eu
r
i
s
tic
al
g
o
r
ith
m
(
S
DH)
an
d
t
h
e
i
n
ter
f
er
e
n
ce
b
al
an
cin
g
-
b
ased
h
e
u
r
is
tic
al
g
o
r
ith
m
(
I
B
H)
f
o
r
HSM
-
b
ased
m
u
l
tico
r
e
s
y
s
te
m
s
,
co
n
ce
n
tr
at
in
g
o
n
s
ec
u
r
i
n
g
in
-
v
eh
icle
n
et
w
o
r
k
s
w
h
ile
m
ee
ti
n
g
s
tr
i
n
g
e
n
t
d
ela
y
co
n
s
tr
ain
ts
.
C
ab
r
er
a
-
Gu
t
iér
r
ez
et
a
l.
[
1
4
]
h
ig
h
li
g
h
ted
th
at
HSMs
s
er
v
e
as
h
ar
d
w
ar
e
-
b
ased
r
o
o
ts
o
f
tr
u
s
t,
o
f
f
er
i
n
g
p
h
y
s
ical
p
r
o
tectio
n
an
d
an
ad
d
itio
n
al
s
ec
u
r
it
y
la
y
er
w
it
h
i
n
s
y
s
te
m
ar
ch
i
t
ec
tu
r
es.
T
h
eir
w
o
r
k
p
r
im
ar
il
y
e
m
p
h
a
s
ized
th
e
i
n
teg
r
atio
n
o
f
p
u
b
lic
-
k
e
y
cr
y
p
to
g
r
ap
h
y
al
g
o
r
ith
m
s
an
d
s
ta
n
d
ar
d
s
,
ai
m
i
n
g
to
en
h
a
n
ce
o
v
er
all
s
ec
u
r
it
y
b
y
co
m
b
in
i
n
g
HSM
s
w
it
h
b
lo
ck
ch
ai
n
tec
h
n
o
lo
g
ies
in
I
n
d
u
s
tr
ial
I
o
T
s
y
s
te
m
s
.
Mu
r
taza
et
a
l.
[
1
5
]
ca
r
r
ied
o
u
t
a
d
ef
e
n
s
e
-
in
-
d
ep
th
s
tr
ateg
y
to
s
ec
u
r
e
th
r
o
u
g
h
HSM,
i
t
s
u
s
er
s
,
an
d
r
elate
d
s
er
v
ices
f
r
o
m
v
ar
io
u
s
th
r
ea
t
s
,
r
an
g
i
n
g
f
r
o
m
b
asic
s
h
o
u
ld
er
s
u
r
f
i
n
g
to
s
o
p
h
is
tica
ted
m
a
n
-
in
-
t
h
e
-
m
id
d
le
attac
k
s
.
T
h
is
s
tr
ateg
y
n
o
tab
l
y
s
tr
en
g
t
h
en
ed
cr
y
p
to
g
r
ap
h
ic
k
e
y
s
ec
u
r
it
y
b
y
eli
m
i
n
ati
n
g
th
e
n
ee
d
f
o
r
s
to
r
ed
k
ey
s
a
n
d
in
te
g
r
atin
g
m
u
lti
-
f
ac
to
r
au
t
h
e
n
ticatio
n
.
L
in
et
a
l.
[
1
6
]
in
iti
ated
a
n
o
v
el
tr
i
-
f
u
n
c
tio
n
al
m
o
d
u
le
u
s
i
n
g
r
e
s
is
t
iv
e
r
an
d
o
m
-
ac
ce
s
s
m
e
m
o
r
y
(
R
R
A
M)
,
w
h
ic
h
w
as
ex
p
er
i
m
en
t
all
y
d
e
m
o
n
s
tr
ated
f
o
r
th
e
f
ir
s
t
ti
m
e,
s
h
o
w
i
n
g
it
s
p
o
s
s
ib
le
f
o
r
u
s
e
i
n
t
ig
h
tl
y
r
es
tr
icted
in
ter
n
et
o
f
t
h
in
g
s
(
I
o
T
)
a
p
p
licatio
n
s
.
A
cc
o
r
d
in
g
to
t
h
e
p
r
ev
io
u
s
l
iter
atu
r
e,
it is
clea
r
th
at
:
−
T
h
e
u
s
e
o
f
HSM
s
an
d
h
eter
o
g
en
eo
u
s
co
m
p
u
ti
n
g
f
ab
r
ics
f
o
r
SNMs
h
as b
ee
n
u
n
e
x
p
lo
r
ed
.
−
T
h
is
p
ap
er
p
r
o
p
o
s
es
th
e
i
m
p
l
e
m
en
tatio
n
o
f
a
HSM
w
it
h
h
et
er
o
g
en
eo
u
s
co
m
p
u
te
f
ab
r
ics,
u
tili
zi
n
g
E
C
C
t
o
en
h
a
n
ce
b
o
th
s
ec
u
r
e
m
o
d
u
le
a
n
d
d
ata
h
an
d
li
n
g
ca
p
ab
ilit
ie
s
f
o
r
SNMs
.
−
C
o
m
b
i
n
in
g
E
C
C
w
i
th
m
u
lti
-
c
o
r
e
d
esig
n
f
o
r
HSMs
o
f
f
er
s
a
m
o
r
e
e
f
f
ec
ti
v
e
s
ec
u
r
it
y
s
o
lu
t
i
o
n
co
m
p
ar
ed
to
ex
is
t
in
g
b
ig
d
ata
h
a
n
d
li
n
g
m
et
h
o
d
s
.
−
T
o
ad
d
r
ess
th
ese
ch
alle
n
g
e
s
,
ad
v
an
ce
d
A
E
P
I
C
is
a
n
o
v
el
ap
p
r
o
ac
h
to
en
h
an
ce
th
e
p
er
f
o
r
m
an
ce
an
d
s
ec
u
r
it
y
f
o
r
SNM
s
.
T
h
is
r
esear
ch
i
s
s
tr
u
ct
u
r
ed
as
f
o
llo
w
s
:
s
ec
tio
n
2
p
r
o
v
id
es a
n
o
v
er
v
ie
w
o
f
t
h
e
p
r
o
p
o
s
ed
co
m
p
u
tatio
n
a
l
co
n
s
i
d
er
atio
n
s
f
o
r
im
p
le
m
e
n
t
in
g
HS
Ms.
I
t
o
u
tlin
es
t
h
e
m
eth
o
d
o
lo
g
y
u
s
ed
an
d
p
r
esen
ts
th
e
p
s
eu
d
o
-
co
d
e
m
o
d
ell
in
g
o
f
t
h
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
.
Sect
io
n
3
d
is
cu
s
s
es
t
h
e
r
esu
lts
o
b
tai
n
ed
,
ev
alu
a
tin
g
th
e
ef
f
ec
ti
v
e
n
es
s
o
f
th
e
p
r
o
p
o
s
ed
HSM
d
esig
n
.
Fin
all
y
,
s
ec
tio
n
4
co
n
clu
d
es
th
e
p
ap
er
b
y
s
u
m
m
ar
izin
g
th
e
f
i
n
d
in
g
s
a
n
d
s
u
g
g
e
s
ti
n
g
d
ir
ec
tio
n
s
f
o
r
f
u
t
u
r
e
r
esear
ch
.
2.
RE
S
E
ARCH
M
E
T
H
O
D
T
h
e
p
r
o
p
o
s
ed
r
esear
ch
f
r
am
e
w
o
r
k
is
ill
u
s
tr
ated
in
Fi
g
u
r
e
1
.
I
t
s
tar
ted
w
i
th
ch
o
o
s
i
n
g
an
ap
p
r
o
p
r
iate
c
y
b
er
-
p
h
y
s
ica
l
s
y
s
te
m
(
C
P
S)
ap
p
licatio
n
to
ev
al
u
ate
a
s
u
itab
le
FP
GA
p
r
o
ce
s
s
o
r
f
o
r
s
ec
u
r
e
b
ig
d
ata
co
m
p
u
ti
n
g
.
2
.
1
.
P
r
o
t
ec
t
io
n set
up
T
h
e
SNMs
ac
t
as
a
cy
b
e
r
-
p
h
y
s
ical
in
ter
f
ac
e
w
i
th
i
n
a
C
P
S
ap
p
licatio
n
.
T
h
is
ca
n
b
e
b
u
ilt
o
n
th
e
s
a
f
et
y
s
p
ec
if
icatio
n
in
Fi
g
u
r
e
2
.
I
t is ess
e
n
tial
f
o
r
m
ai
n
tai
n
in
g
t
h
e
s
ec
u
r
it
y
a
n
d
r
eliab
ilit
y
o
f
s
m
ar
t
g
r
id
in
f
r
astru
ct
u
r
e.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
R
ec
o
n
f
i
g
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r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
I
SS
N:
2089
-
4864
I
mp
leme
n
ta
tio
n
o
f
h
a
r
d
w
a
r
e
s
ec
u
r
ity
mo
d
u
le
u
s
in
g
ellip
tic
c
u
r
ve
cryp
to
g
r
a
p
h
y
fo
r
… (
B
.
Mu
th
u
N
is
h
a
)
707
I
t
ap
p
lies
s
tr
ict
s
ec
u
r
it
y
m
ea
s
u
r
es
an
d
p
r
o
to
co
ls
to
p
r
o
tec
t
d
ata
in
teg
r
it
y
,
p
r
ev
e
n
t
u
n
au
th
o
r
ized
ac
ce
s
s
,
an
d
co
n
tr
ib
u
te
to
a
r
o
b
u
s
t
p
latf
o
r
m
f
o
r
m
a
n
ag
in
g
co
m
m
u
n
icati
o
n
s
b
et
w
ee
n
s
m
ar
t
m
eter
s
a
n
d
th
e
g
r
id
n
et
w
o
r
k
[
1
]
,
[
1
7
]
.
Fig
u
r
e
1
.
P
r
o
p
o
s
ed
r
esear
ch
f
r
a
m
e
w
o
r
k
Fig
u
r
e
2
.
Saf
et
y
s
p
ec
if
icatio
n
f
o
r
SNM
(
m
o
d
if
ied
f
r
o
m
[
1
7
]
)
2
.
2
.
At
t
ribute
s
o
f
a
t
w
o
f
ini
t
e
f
ields
-
ba
s
ed
elli
ptic
curv
e
cr
y
pto
g
ra
ph
y
co
re
B
in
ar
y
o
r
ch
ar
ac
ter
is
tic
-
t
w
o
f
in
ite
f
ield
s
(
F
F)
(
GF(
2
ᵐ
)
)
ar
e
a
s
u
b
s
et
o
f
FF
s
w
h
er
e
th
e
o
r
d
er
is
a
p
o
w
er
o
f
t
w
o
.
T
h
ese
f
ield
s
ar
e
p
ar
ticu
lar
ly
m
o
s
t
s
u
i
tab
le
f
o
r
h
ar
d
w
ar
e
i
m
p
le
m
e
n
tatio
n
an
d
b
in
ar
y
co
m
p
u
ter
s
y
s
te
m
s
d
u
e
to
th
e
ir
in
h
er
en
t
e
f
f
ec
tiv
e
n
e
s
s
.
T
h
e
co
m
p
o
n
en
ts
o
f
G
F(2
ᵐ
)
ar
e
r
ep
r
esen
ted
as
b
i
n
ar
y
p
o
ly
n
o
m
ia
ls
,
w
it
h
co
ef
f
icien
t
s
r
estricte
d
to
v
alu
es
o
f
0
o
r
1
.
T
h
is
s
ec
tio
n
o
u
tli
n
es
t
h
e
alg
o
r
ith
m
s
u
s
ed
f
o
r
ex
ec
u
t
in
g
FF
ar
ith
m
etic
o
p
er
atio
n
s
i
n
th
e
p
r
o
p
o
s
ed
s
tu
d
y
.
P
ar
allel
FF
r
ed
u
ctio
n
s
ar
e
f
u
n
d
am
e
n
tal
to
all
FF
o
p
er
atio
n
s
an
d
p
la
y
a
n
es
s
e
n
ti
al
r
o
le
in
e
n
s
u
r
in
g
e
f
f
icien
t
ex
ec
u
tio
n
o
f
ar
it
h
m
e
tic
i
n
s
tr
u
cti
o
n
s
i
n
GF(
2
ᵐ
)
.
T
h
e
p
r
o
p
o
s
ed
HSM
d
esig
n
e
m
p
h
asizes
t
h
e
i
m
p
o
r
tan
ce
o
f
o
p
tim
izi
n
g
th
e
s
e
o
p
er
atio
n
s
f
o
r
s
ec
u
r
e
an
d
ef
f
icie
n
t
E
C
C
[
1
8
]
.
2
.
3
.
H
a
rdwa
re
s
ec
urit
y
m
o
d
ule
f
un
ct
io
na
l c
o
m
pu
t
a
t
io
n
T
h
e
d
ev
elo
p
m
en
t
o
f
E
C
C
w
it
h
in
t
h
e
b
ase
o
f
a
HSM
ca
n
b
e
v
is
u
a
lized
as
a
p
y
r
a
m
id
,
as
s
h
o
w
n
i
n
Fig
u
r
e
3
.
Ov
er
all,
E
C
C
s
er
v
es
as
th
e
b
ase
o
f
th
e
s
ec
u
r
it
y
m
ec
h
a
n
i
s
m
s
in
HSM.
B
en
ea
t
h
th
i
s
,
E
C
C
cr
itical
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.
14
,
No
.
3
,
No
v
e
m
b
er
2
0
2
5
:
705
-
7
16
708
ope
r
atio
n
is
co
m
p
o
s
ed
o
f
a
s
e
r
ies
o
f
p
o
in
t
ad
d
itio
n
s
,
p
o
in
t
d
o
u
b
lin
g
s
,
an
d
p
o
in
t
m
u
ltip
lic
atio
n
s
.
A
t
t
h
e
b
asi
c
lev
el,
th
ese
p
o
in
t
o
p
er
atio
n
s
r
ely
o
n
m
o
d
u
lar
ar
ith
m
etic
o
p
e
r
atio
n
s
,
in
clu
d
i
n
g
ad
d
itio
n
,
s
u
b
tr
ac
tio
n
,
an
d
m
u
ltip
licatio
n
[
1
9
]
.
T
h
ese
m
o
d
u
lar
o
p
er
ati
o
n
s
,
in
tu
r
n
,
ar
e
in
teg
r
ated
as
m
u
lt
ip
le
-
p
r
ec
is
io
n
o
p
er
atio
n
s
o
n
an
n
-
b
it p
r
o
ce
s
s
o
r
,
s
u
p
p
o
r
tin
g
ef
f
icien
t c
o
m
p
u
tatio
n
in
t
h
e
HS
M
d
esig
n
.
Fig
u
r
e
3
.
Fu
n
c
tio
n
al
p
y
r
a
m
id
o
f
p
r
o
p
o
s
ed
HSM
(
m
o
d
if
ied
f
r
o
m
[
1
9
]
)
2
.
4
.
Adv
a
nced
ex
pli
cit
ly
pa
ra
llel ins
t
ruct
io
n
co
m
p
uting
A
E
P
I
C
i
s
t
h
e
o
p
er
atio
n
o
f
i
m
p
r
o
v
in
g
t
h
e
p
er
f
o
r
m
a
n
ce
o
f
a
n
HSM
t
h
r
o
u
g
h
co
n
f
ig
u
r
i
n
g
its
i
n
s
tr
u
ctio
n
s
et
to
s
u
it
a
s
p
ec
i
f
ic
ellip
tic
c
u
r
v
e
ar
it
h
m
etic
al
g
o
r
ith
m
[
2
0
]
,
[
2
1
]
.
I
n
p
ar
ticu
lar
,
it
h
ig
h
li
g
h
t
s
e
f
f
o
r
ts
to
r
ef
in
e
th
e
alg
o
r
ith
m
ac
r
o
s
s
th
r
ee
p
r
o
ce
s
s
o
r
co
r
es.
E
ac
h
c
o
r
e
ex
ec
u
tes
FF
o
p
er
atio
n
s
u
s
in
g
a
cu
s
t
o
m
ized
in
s
tr
u
c
tio
n
s
et
s
p
ec
i
f
icall
y
d
esi
g
n
ed
f
o
r
ar
ith
m
etic
ta
s
k
s
,
s
u
ch
a
s
a
d
d
itio
n
,
s
q
u
ar
in
g
,
a
n
d
m
u
lti
p
licatio
n
[
2
2
]
.
T
h
is
cu
s
to
m
izatio
n
co
n
s
o
lid
ates
s
elec
ted
o
p
er
atio
n
s
in
to
a
s
in
g
le
clo
ck
c
y
cle,
i
m
p
r
o
v
i
n
g
th
e
al
g
o
r
ith
m
's
ef
f
icien
c
y
.
E
s
tab
lis
h
in
g
i
n
ter
c
o
n
n
ec
tio
n
s
b
et
w
ee
n
co
r
es
p
la
y
s
a
cr
itica
l
r
o
le
in
m
a
n
ag
i
n
g
d
ata
d
ep
en
d
en
cies
[
2
3
]
.
Fo
r
in
s
tan
ce
,
i
f
co
r
e
1
r
elies o
n
d
ata
g
en
er
ated
b
y
co
r
e
2
at
a
s
p
ec
if
ic
s
tep
,
a
co
n
n
ec
ti
o
n
b
et
w
ee
n
t
h
e
t
w
o
co
r
es
en
s
u
r
es
s
ea
m
le
s
s
d
ata
f
lo
w
,
as
il
lu
s
tr
ated
in
Fi
g
u
r
e
4
.
Si
m
ilar
i
n
ter
co
n
n
ec
tio
n
s
ar
e
estab
lis
h
ed
to
f
ac
ilit
ate
o
t
h
er
d
ata
d
ep
en
d
en
cies
w
it
h
in
t
h
e
al
g
o
r
ith
m
.
I
n
t
h
is
r
esear
c
h
w
o
r
k
,
th
e
m
u
ltico
r
e
A
E
P
I
C
d
esig
n
is
i
m
p
le
m
en
ted
ac
r
o
s
s
t
h
r
ee
co
r
es,
as d
etailed
in
p
s
eu
d
o
-
co
d
e.
Fig
u
r
e
4
.
T
h
e
d
esig
n
o
f
m
u
l
ti
-
co
r
e
u
s
in
g
A
E
P
I
C
co
m
p
u
ti
n
g
(
m
o
d
if
ied
f
r
o
m
[
2
3
]
)
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
mp
leme
n
ta
tio
n
o
f
h
a
r
d
w
a
r
e
s
ec
u
r
ity
mo
d
u
le
u
s
in
g
ellip
tic
c
u
r
ve
cryp
to
g
r
a
p
h
y
fo
r
… (
B
.
Mu
th
u
N
is
h
a
)
709
2
.
5
.
P
s
eudo
co
de
o
v
er
v
ie
w
f
o
r
m
ulti
-
co
re
AE
P
I
C
des
ig
n
T
h
e
f
o
llo
w
i
n
g
s
tep
s
o
u
t
lin
e
th
e
p
s
eu
d
o
co
d
e
o
f
th
e
p
r
o
p
o
s
e
d
m
u
lt
i
-
co
r
e
A
E
P
I
C
d
esig
n
f
o
r
ef
f
icie
n
t
ellip
tic
cu
r
v
e
p
o
in
t
m
u
ltip
licat
io
n
.
Step
1
.
Ob
j
ec
tiv
e
o
f
ef
f
icie
n
t
c
o
m
p
u
tatio
n
o
f
ellip
tic
c
u
r
v
e
p
o
in
t
m
u
ltip
lica
tio
n
b
A
,
w
h
er
e
is
a
b
in
ar
y
i
n
te
g
er
.
Step
2
.
C
o
n
v
er
t in
p
u
t p
o
in
t (
p
,
q
)
f
r
o
m
a
f
f
in
e
to
p
r
o
j
ec
tiv
e
co
o
r
d
in
ates f
o
r
ef
f
icien
t c
o
m
p
u
tatio
n
.
Step
3
.
C
o
r
e
1
in
itializes
P
1
,
R
1
;
C
o
r
e
2
is
as
s
ig
n
ed
w
it
h
n
o
o
p
er
atio
n
(
id
le
d
u
r
in
g
in
i
tializatio
n
)
.
C
o
r
e
3
co
m
p
u
tes
R
2
=
(p
+
0
)
2
f
o
r
th
e
iter
ativ
e
lo
o
p
.
Step
4
.
C
o
r
e
1
h
a
n
d
les
p
o
in
t
ad
d
itio
n
P
1
R
2
,
s
q
u
ar
es
R
1
,
a
n
d
u
p
d
ates
P
2
w
it
h
m
o
d
u
lar
r
ed
u
ctio
n
s
.
C
o
r
e
2
p
er
f
o
r
m
s
p
ar
allel
task
s
w
it
h
P
2
R
1
an
d
u
p
d
ates
P2
;
C
o
r
e
3
c
o
m
p
u
tes
m
o
d
u
lar
m
u
ltip
licati
o
n
s
,
s
q
u
ar
in
g
s
,
an
d
u
p
d
ates R2
.
Step
5
.
C
o
r
e
1
co
m
p
u
te
s
m
o
d
u
lar
in
v
er
s
io
n
s
an
d
m
u
ltip
li
ca
tio
n
s
f
o
r
R
1
an
d
W
1
,
C
o
r
e
2
p
er
f
o
r
m
s
s
i
m
ilar
o
p
er
atio
n
s
f
o
r
R
2
an
d
W
2
,
an
d
C
o
r
e
3
h
an
d
les
m
o
d
u
lar
i
n
v
er
s
io
n
s
a
n
d
ar
ith
m
etic
f
o
r
p
an
d
q
.
Step
6
.
So
m
e
co
r
es
r
em
a
in
i
d
le
(
in
d
icate
d
as
"
NO
-
OP"
)
d
u
r
in
g
s
p
ec
if
ic
s
ta
g
es
to
av
o
id
r
eso
u
r
ce
co
n
f
licts
,
en
s
u
r
in
g
e
f
f
ic
ien
t p
ip
eli
n
e
u
s
a
g
e.
P
s
eu
d
o
C
o
d
e
f
o
r
A
E
P
I
C
[
2
0
]
,
[
2
1
]
I
n
p
u
t:
A
=
(
p
,
q
)
∈
E
(
GF
(2
n
)
)
,
an
i
-
b
it i
n
te
g
er
B
,
b
←
(b
i
-
1
;
· · ·
;
b
1
;
b
0)
2
.
Ou
tp
u
t: b
A
=
(
p
0
;
q
0
)
.
// I
n
itializat
io
n
o
f
Af
f
i
n
e
C
o
o
r
d
in
ates to
P
r
o
j
ec
tiv
e
C
o
o
r
d
in
ates
// c
o
r
e
1
co
r
e
2
co
r
e
3
1.
P
1
←
(p
+
0
)
;
NO
-
OP
;
R
2
←
(p
+
0
)
2
;
2.
R
1
←
(
1
+
0
)
;
NO
-
OP
;
P
2
←
p
4;
3.
NO
-
OP
;
NO
-
OP
;
P
2
←
P
2
+
c;
// P
o
in
t M
u
ltip
licatio
n
I
ter
ativ
e
P
r
o
ce
s
s
f
o
r
k
= i
−
2
d
o
w
n
to
0
d
o
// c
o
r
e
1
co
r
e
2
co
r
e
3
1.
W
1
←
P
1
R
2
;
W
2
←
P
2
R
1
;
W
3
←
P
1
R
1
;
X3
←
R
1
4
;
2.
R
2
←
(
W
1
+
W
2
)
2
;
NO
-
OP
;
R
1
←
(
W
3
+
0
)
2
;
3.
W
1
←
W
1
W
2
;
W
2
←
p
R
2;
W
3
←
cX
3;
X3
←
P1
4
4.
P
2
←
W
1
+
W
2
;
NO
-
OP
;
P
1
←
W
3
+
X3
;
if
(
k
̸
=
0
an
d
b
i
̸
= b
i
-
1
)
o
r
(
k
=
0
an
d
b
k
=
1
)
th
en
S
w
ap
(
P
1
,
P
2
)
,
Sw
ap
(
R
1
,
R
2)
en
d
if
en
d
f
o
r
//C
o
n
v
er
s
io
n
f
r
o
m
P
r
o
j
ec
tiv
e
to
A
f
f
i
n
e
C
o
o
r
d
in
ate
s
// c
o
r
e
1
co
r
e
2
co
r
e
3
1
:
W
1
←
I
n
v
(
R
1
)
;
W
2
←
I
n
v
(
R
2
)
;
W
3
←
I
n
v
(
p
)
;
2
:
X
1
←
P
1
W
1
;
W
2
←
P
2
W
2
;
X3
←
(
p
+
0
)
2
;
X3
←
X
3
+
q
;
3
:
W
1
←
p
+
X1
;
W
2
←
p
+
w
2
;
NO
-
OP
;
4
:
W
1
←
W
1
W
3
;
W
2
←
W
2
W
1
;
NO
-
OP
;
5
:
N
O
-
OP
;
W
2
←
W
2
+
R
3;
NO
-
OP
;
6
:
N
O
-
OP
;
W
2
←
W
1
W
2
;
NO
-
OP
;
7
:
NO
-
OP
;
X2
←
W
2
+
q
;
NO
-
OP
;
r
etu
r
n
b
A
=
(
p
0
;
q
0
)
=
(
X
1
,
X
2
)
.
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
T
h
is
w
o
r
k
is
i
m
p
le
m
e
n
ted
th
r
o
u
g
h
Viv
ad
o
HL
S
2
0
1
8
.
3
.
T
h
e
r
esu
lts
i
n
clu
d
e
th
e
d
etailed
d
esig
n
an
d
th
e
ex
ec
u
tio
n
o
f
th
e
s
a
m
e
o
n
d
if
f
er
e
n
t
FP
G
A
s
.
An
ar
ith
m
et
ic
lo
g
ic
u
n
it
(
AL
U)
in
cl
u
d
es
i
n
s
tr
u
ctio
n
s
f
r
o
m
t
h
e
p
r
o
g
r
am
co
u
n
ter
,
d
ata
f
r
o
m
r
ea
d
-
o
n
l
y
m
e
m
o
r
y
,
an
d
co
n
tr
o
l
s
ig
n
als
f
r
o
m
t
h
e
co
n
tr
o
l
u
n
it
to
p
er
f
o
r
m
t
h
e
co
m
p
u
tatio
n
s
.
3
.
1
.
Arit
h
m
et
ic
lo
g
ic
un
it
mo
du
le
w
it
h t
hree
-
co
re
pa
ra
ll
elis
m
An
AL
U
m
o
d
u
le
in
Fig
u
r
e
5
th
at
p
er
f
o
r
m
s
t
h
r
ee
co
r
e
o
p
er
atio
n
s
o
n
t
w
o
in
p
u
t
d
ata
(
I
A
an
d
I
B
)
,
in
cl
u
d
in
g
p
o
in
t
ad
d
itio
n
/d
o
u
b
lin
g
,
m
u
ltip
licatio
n
,
a
n
d
r
ep
ea
ted
s
q
u
ar
in
g
.
T
h
e
co
r
r
esp
o
n
d
in
g
o
u
tp
u
t
p
o
r
ts
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.
14
,
No
.
3
,
No
v
e
m
b
er
2
0
2
5
:
705
-
7
16
710
(
B
P_
O1
an
d
B
P_
O2
)
ar
e
g
iv
en
t
h
e
o
u
tp
u
t
s
i
g
n
als
f
r
o
m
th
e
p
o
in
t
ad
d
er
/d
o
u
b
lin
g
m
o
d
u
l
e
an
d
th
e
m
u
ltip
lie
r
m
o
d
u
le.
T
h
e
in
p
u
t
w
ir
e
o
f
th
e
r
ep
ea
ted
s
q
u
ar
e
f
ield
m
o
d
u
le
i
s
d
esig
n
ated
f
o
r
th
e
i
n
p
u
t
s
i
g
n
al
I
B
.
Fig
u
r
e
5
.
Desig
n
o
f
t
h
r
ee
co
r
es b
y
AL
U
in
V
iv
ad
o
HL
S
B
ased
o
n
th
e
co
n
tr
o
l
s
ig
n
al
s
(
m
u
ltip
lier
_
ac
ti
v
ate
an
d
P
AD_
s
el)
,
th
e
AL
U
e
x
ec
u
te
s
th
e
r
eq
u
ir
ed
o
p
er
atio
n
s
an
d
g
en
er
ates
t
h
e
co
r
r
esp
o
n
d
in
g
r
esu
l
ts
.
T
h
e
o
u
tp
u
t
p
o
r
t
R
SF
_
O
is
d
esig
n
ate
d
f
o
r
th
e
r
ep
ea
ted
s
q
u
ar
e
f
ield
m
o
d
u
le
'
s
o
u
tp
u
t s
i
g
n
al.
3
.
2
.
P
o
int
a
dd
it
io
n/d
o
ub
lin
g
m
o
d
ule c
o
m
pu
t
a
t
io
n
B
ased
o
n
Fig
u
r
e
6
,
th
e
p
o
in
t
ad
d
itio
n
an
d
d
o
u
b
lin
g
o
p
er
atio
n
s
ar
e
h
an
d
led
b
y
a
m
o
d
u
le
ca
lled
‘
p
o
in
t_
ad
d
er
’
d
ef
in
ed
in
t
h
e
d
esig
n
.
Fo
u
r
in
p
u
ts
ar
e
r
eq
u
ir
ed
b
y
th
e
m
o
d
u
le:
clo
ck
,
s
el,
P
A
D_
A
,
an
d
P
A
D_
B
.
A
clo
c
k
s
i
g
n
al
i
s
u
s
ed
to
en
ab
le
s
y
n
ch
r
o
n
o
u
s
o
p
er
atio
n
.
T
h
e
in
p
u
t,
w
h
ic
h
h
a
s
a
v
al
u
e
o
f
0
f
o
r
ad
d
itio
n
an
d
1
f
o
r
d
o
u
b
lin
g
,
is
a
s
elec
tio
n
s
i
g
n
al
th
a
t
ch
o
o
s
e
s
t
h
e
o
p
er
atio
n
to
b
e
ca
r
r
ied
o
u
t.
T
h
e
in
p
u
t
o
p
er
an
d
s
,
P
A
D_
A
an
d
P
A
D_
B
,
ar
e
b
o
th
1
6
3
-
b
it
v
ec
to
r
s
.
P
A
D_
B
P
is
th
e
m
o
d
u
le's
s
o
le
o
u
tp
u
t
a
n
d
r
ep
r
esen
ts
th
e
o
u
tco
m
e
o
f
t
h
e
o
p
er
atio
n
.
T
h
is
v
al
u
e
i
s
s
to
r
ed
in
a
1
6
3
-
b
it
v
ec
to
r
.
R
e
g
is
ter
s
an
d
s
ig
n
al
s
ar
e
u
s
ed
b
y
th
e
m
o
d
u
le
i
n
ter
n
al
l
y
to
ca
r
r
y
o
u
t t
h
e
n
ec
ess
ar
y
co
m
p
u
tatio
n
s
.
Fig
u
r
e
6
.
C
o
m
p
r
eh
e
n
s
i
v
e
d
esi
g
n
o
f
E
C
C
p
o
in
t a
d
d
itio
n
/d
o
u
b
lin
g
m
o
d
u
le
u
s
i
n
g
Viv
ad
o
H
L
S
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
mp
leme
n
ta
tio
n
o
f
h
a
r
d
w
a
r
e
s
ec
u
r
ity
mo
d
u
le
u
s
in
g
ellip
tic
c
u
r
ve
cryp
to
g
r
a
p
h
y
fo
r
… (
B
.
Mu
th
u
N
is
h
a
)
711
T
h
e
v
alu
e
s
ar
e
k
ep
t i
n
t
w
o
r
eg
is
ter
s
,
P
AR
0
an
d
P
A
R
1
,
w
h
ic
h
ar
e
p
ar
t o
f
it.
T
h
e
m
o
d
u
le
p
e
r
f
o
r
m
s
t
h
e
ad
d
itio
n
o
p
er
atio
n
u
s
in
g
t
w
o
in
s
ta
n
ce
s
o
f
t
h
e
ad
d
er
m
o
d
u
le.
T
h
ese
in
s
tan
ce
s
g
e
n
er
ate
th
e
ad
d
itio
n
r
esu
lt
s
u
s
i
n
g
th
e
v
al
u
es
f
r
o
m
P
AR
0
an
d
P
A
R
1
as i
n
p
u
t
s
.
T
o
co
m
p
lete
th
e
ad
d
itio
n
/d
o
u
b
li
n
g
p
r
o
ce
s
s
,
th
e
m
o
d
u
le
al
s
o
co
n
tain
s
an
in
s
ta
n
ce
o
f
t
h
e
d
o
u
b
lin
g
m
o
d
u
le.
I
t
g
e
n
er
ates
th
e
d
o
u
b
lin
g
/ad
d
itio
n
r
es
u
lt.
T
h
e
v
al
u
e
o
f
s
e
l_
r
eg
i
s
u
s
ed
to
ca
lcu
la
te
th
e
o
u
tp
u
t,
P
A
D_
B
P
.
I
f
s
el_
r
eg
is
s
et
to
1
,
w
h
ic
h
d
en
o
te
s
d
o
u
b
lin
g
/ad
d
itio
n
,
h
o
w
ev
er
,
i
f
s
el_
r
eg
is
0
,
it
s
ig
n
i
f
ies
o
n
l
y
ad
d
itio
n
.
I
n
in
f
er
en
ce
,
th
e
‘
p
o
in
t_
ad
d
er
’
m
o
d
u
le
g
iv
e
s
u
s
er
s
th
e
o
p
tio
n
to
ex
ec
u
te
d
o
u
b
li
n
g
/ad
d
itio
n
o
p
er
atio
n
s
d
ep
en
d
in
g
o
n
t
h
e
v
al
u
e
o
f
th
e
‘
s
el
’
s
i
g
n
al.
On
ea
ch
p
o
s
it
iv
e
ed
g
e
o
f
t
h
e
clo
ck
s
i
g
n
al,
t
h
e
v
al
u
es
o
f
P
A
D_
A
a
n
d
P
A
D_
B
ar
e
co
r
r
e
s
p
o
n
d
in
g
l
y
p
lace
d
in
th
e
P
A
R
0
an
d
P
A
R
1
r
eg
is
ter
s
.
T
h
e
v
alu
e
o
f
th
e
‘
s
el’
s
i
g
n
al
is
r
ec
o
r
d
ed
in
th
e
s
el_
r
eg
r
eg
is
ter
.
T
h
e
ad
d
er
m
o
d
u
le
cr
ea
tes
t
w
o
i
n
s
t
an
ce
s
,
p
o
in
t_
ad
d
er
_
in
s
0
an
d
p
o
in
t_
ad
d
er
_
in
s
1
.
Usi
n
g
th
e
d
ata
f
r
o
m
P
A
R
0
an
d
P
A
R
1
,
p
o
in
t_
ad
d
er
_
in
s
0
p
er
f
o
r
m
s
ad
d
itio
n
,
an
d
th
e
o
u
tco
m
e
is
s
av
ed
in
P
AD_
in
s
0
_
R
.
A
d
d
itio
n
is
ca
r
r
ied
o
u
t
b
y
p
o
i
n
t_
ad
d
er
_
in
s
1
u
s
in
g
t
h
e
id
e
n
tical
v
al
u
es
f
r
o
m
P
A
R
0
a
n
d
P
AR
1
,
an
d
th
e
o
u
tco
m
e
is
s
a
v
ed
i
n
P
A
D_
in
s
1
_
R
.
Do
u
b
li
n
g
_
in
s
0
is
cr
ea
ted
as
a
n
i
n
s
tan
ce
o
f
t
h
e
d
o
u
b
li
n
g
m
o
d
u
le,
w
h
ich
u
s
es
t
h
e
v
al
u
e
f
r
o
m
P
A
D_
in
s
0
_
R
to
p
er
f
o
r
m
d
o
u
b
lin
g
ad
d
itio
n
an
d
s
to
r
es
th
e
o
u
tco
m
e
in
DB
_
in
s
0
_
R
.
T
h
e
v
alu
e
o
f
s
el_
r
e
g
d
eter
m
in
e
s
th
e
f
i
n
al
b
y
p
ass
o
u
tp
u
t,
P
A
D_
B
P
:
T
h
e
v
alu
e
o
f
DB
_
in
s
0
_
R
is
ass
ig
n
ed
to
th
e
o
u
tp
u
t
P
A
D_
B
P
w
h
e
n
s
el_
r
eg
is
1
(
m
ea
n
i
n
g
d
o
u
b
l
in
g
/ad
d
itio
n
)
.
T
h
e
v
a
lu
e
o
f
P
A
D_
in
s
1
_
R
is
a
llo
ca
ted
to
th
e
o
u
tp
u
t P
A
D_
B
P
w
h
e
n
s
el_
r
eg
is
s
et
to
0
(
m
ea
n
in
g
ad
d
itio
n
)
.
3
.
3
.
P
o
int
m
ulti
pli
er
m
o
du
le
co
m
p
uta
t
io
n
T
h
e
d
etailed
d
esig
n
o
f
t
h
e
E
C
C
m
u
ltip
lier
m
o
d
u
le
f
o
r
p
o
in
t
m
u
ltip
licatio
n
u
s
i
n
g
Vi
v
a
d
o
HL
S
i
s
s
h
o
w
n
i
n
Fi
g
u
r
e
7
.
T
h
e
m
o
d
u
le
ac
ce
p
ts
th
e
f
o
u
r
in
p
u
t
s
clo
ck
,
ac
tiv
ate,
A
,
an
d
B
.
T
h
e
clo
ck
s
ig
n
al
is
u
s
ed
in
th
e
s
y
n
c
h
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Kin
te
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ico
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m
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ti
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g
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d
Vir
tex
-
7
FP
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f
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s
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f
ea
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le
p
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m
f
o
r
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ig
d
ata
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al
y
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f
o
r
SNM
s
d
u
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to
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ized
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esig
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n
co
n
tr
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tex
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1
1
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Ultr
ascale
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an
d
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y
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m
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le
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izatio
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m
e
n
t
s
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3
.
6
.
P
o
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f
iciency
a
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l
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s
is
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o
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f
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P
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er
e
f
f
ic
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c
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l
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is
f
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r
s
tatic
an
d
d
y
n
a
m
ic
co
n
d
itio
n
s
o
n
f
ea
s
ib
le
FP
GA
b
o
ar
d
s
,
in
cl
u
d
in
g
A
lp
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A
lv
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,
Ki
n
te
x
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P
ico
C
o
m
p
u
ti
n
g
,
a
n
d
Vir
tex
-
7
f
a
m
il
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is
s
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w
n
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n
Fi
g
u
r
e
s
9
(
a)
-
(
e)
.
Static p
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,
also
k
n
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leak
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g
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,
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n
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m
ed
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h
e
FP
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A
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h
e
n
it
is
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o
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er
ed
o
n
b
u
t
n
o
t
ac
ti
v
el
y
s
w
itc
h
in
g
[
2
4
]
,
[
2
5
]
.
I
t
is
p
r
i
m
ar
il
y
d
u
e
to
leak
ag
e
c
u
r
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en
ts
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at
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lo
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en
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tr
a
n
s
i
s
to
r
s
ar
e
n
o
t
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w
i
tch
i
n
g
s
tates.
Static
p
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ca
n
b
e
a
s
ig
n
if
ican
t
co
m
p
o
n
e
n
t
o
f
th
e
to
tal
p
o
w
er
co
n
s
u
m
p
tio
n
,
esp
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iall
y
as
p
r
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s
s
tech
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ca
les d
o
w
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to
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etr
ie
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C
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also
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p
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,
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e
p
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FP
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tiv
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w
itc
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g
s
tates
d
u
r
i
n
g
o
p
er
atio
n
[
2
6
]
,
[
2
7
]
.
I
t
is
ass
o
ciate
d
w
it
h
th
e
c
h
ar
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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4864
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Vir
te
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f
a
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%
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o
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ch
ip
p
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n
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m
p
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n
is
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5
4
2
w
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tts
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w
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h
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j
u
n
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n
te
m
p
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r
e
o
f
2
5
.
6
°C
an
d
a
th
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al
m
ar
g
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n
o
f
5
9
.
4
°C
.
T
h
ese
ch
ar
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ter
is
tics
m
a
k
e
t
h
e
Vir
tex
-
7
an
ex
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n
t
p
latf
o
r
m
f
o
r
b
ig
d
ata
an
al
y
tics
f
o
r
SNM.
(
a)
(
b
)
(
c)
(
d
)
(
e)
Fig
u
r
e
9
.
P
o
w
er
r
ep
o
r
t o
f
FP
GA
;
(
a)
A
lp
h
a
,
(
b
)
A
l
v
eo
,
(
c)
Kin
tex
,
(
d
)
P
ico
,
an
d
(
e)
Vir
tex
3
.
7
.
Ass
ess
ing
da
t
a
ra
t
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I
n
th
e
co
n
tex
t
o
f
b
ig
d
ata
an
al
y
tics
,
w
h
er
e
lar
g
e
v
o
lu
m
es
o
f
d
ata
f
r
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m
m
u
ltip
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m
eter
s
ar
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ag
g
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e
g
ated
an
d
an
al
y
ze
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,
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cu
r
ate
d
ata
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ate
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lcu
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ar
e
ev
en
m
o
r
e
cr
itical.
T
h
ey
e
n
s
u
r
e
th
at:
−
Data
ag
g
r
e
g
atio
n
is
s
ea
m
le
s
s
a
n
d
ti
m
el
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.
−
An
al
y
tical
m
o
d
el
s
r
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u
p
-
to
-
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ate
an
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ata
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s
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o
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ac
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r
ate
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d
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al
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i
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.
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y
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te
m
p
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ai
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ata
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p
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itio
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s
.
Ov
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all,
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ata
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lcu
latio
n
[
2
8
]
f
o
r
SNM
is
f
u
n
d
a
m
e
n
tal
to
en
s
u
r
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f
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ar
t g
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ℎ
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=
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ℎ
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=
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×
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2
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Fro
m
(
1
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an
d
(
2
)
as in
[
2
9
]
,
[
3
0
]
,
f
o
r
ea
ch
b
it si
ze
(
1
6
3
,
2
3
3
,
2
8
3
,
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0
9
,
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d
5
7
1
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its
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it
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eg
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p
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(
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T
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o
r
e,
th
e
d
ata
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ate
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is
d
ep
icte
d
in
T
ab
le
2
.
T
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2
.
Data
r
ate
ca
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if
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.
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4
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.
7
5
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1
1
7
1
.
3
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
:
2
0
8
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4864
I
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R
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f
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co
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s
s
in
g
,
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eliab
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it
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a
n
d
ea
s
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o
f
d
ev
elo
p
m
e
n
t,
e
n
s
u
r
in
g
t
h
e
s
elec
tio
n
o
f
t
h
e
b
est
p
lat
f
o
r
m
f
o
r
s
p
ec
if
ic
n
ee
d
s
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d
co
n
s
tr
ain
ts
.
T
ab
le
3
s
h
o
w
s
t
h
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p
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f
o
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m
a
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ce
co
m
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ar
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o
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f
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th
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co
m
p
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ti
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g
ca
p
ab
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y
.
T
h
e
co
m
p
ar
is
o
n
in
d
icate
s
th
at
t
h
e
Vir
te
x
-
7
is
t
h
e
b
est c
h
o
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f
o
r
a
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ig
d
ata
a
n
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y
tics
en
v
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o
n
m
e
n
t
f
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r
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ap
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a
w
id
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ca
s
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s
.
T
ab
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3
.
C
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p
u
t
in
g
ca
p
ab
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y
o
f
A
r
d
u
in
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U
n
o
v
s
.
FP
G
A
A
r
d
u
i
n
o
U
n
o
[
1
]
F
P
G
A
f
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r
S
N
M
(
p
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p
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se
d
)
S
e
c
u
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y
f
e
a
t
u
r
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:
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o
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v
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l
a
b
l
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S
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c
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r
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f
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t
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:
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C
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3
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o
f
a
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f
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ap
p
licatio
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w
it
h
i
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C
P
S.
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y
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m
p
lo
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in
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an
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ap
p
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co
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C
C
,
t
h
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p
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th
e
d
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m
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d
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lar
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e
-
s
ca
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ata
an
al
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h
e
u
s
e
o
f
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lp
h
a,
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eo
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Kin
tex
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ico
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an
d
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FP
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en
s
u
r
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ad
ap
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lab
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ize
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ig
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p
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.
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g
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at,
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te
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as
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est
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o
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s
to
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.
3
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p
s
d
ata
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ate.
Fu
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u
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w
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k
w
ill
f
o
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s
o
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alid
atin
g
th
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ag
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t
v
ar
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b
e
r
s
ec
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attac
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u
r
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r
o
b
u
s
t
p
r
o
tectio
n
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d
d
itio
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all
y
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ad
d
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ess
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ea
l
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w
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ld
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p
ac
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al
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it
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o
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g
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an
d
en
h
a
n
ce
m
en
ts
i
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s
ec
u
r
it
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.
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
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UT
I
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NS ST
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T
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M
E
NT
T
h
is
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o
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al
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C
o
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to
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o
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ax
o
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y
(
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R
ed
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to
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ize
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d
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id
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th
o
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tio
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,
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ed
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t
h
o
r
s
h
ip
d
is
p
u
tes,
an
d
f
ac
ilit
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co
lla
b
o
r
atio
n
.
Na
m
e
o
f
Aut
ho
r
C
M
So
Va
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I
R
D
O
E
Vi
Su
P
Fu
B.
Mu
th
u
Nis
h
a
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
J.
Selv
ak
u
m
ar
✓
✓
✓
✓
✓
✓
✓
✓
C
:
C
o
n
c
e
p
t
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a
l
i
z
a
t
i
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n
M
:
M
e
t
h
o
d
o
l
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g
y
So
:
So
f
t
w
a
r
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Va
:
Va
l
i
d
a
t
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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
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u
r
a
t
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o
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O
:
W
r
i
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i
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g
-
O
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g
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D
r
a
f
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:
W
r
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&
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d
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:
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p
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P
:
P
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c
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Fu
:
Fu
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d
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CO
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ST
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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
is
n
o
t
ap
p
licab
le
to
th
is
p
ap
er
as
n
o
n
ew
d
ata
w
er
e
cr
ea
ted
o
r
an
aly
ze
d
in
th
i
s
s
tu
d
y
.
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