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Sep
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201
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204
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e
[
9
]
is
a
ty
p
e
o
f
g
u
m
d
i
s
ea
s
e
w
it
h
m
o
r
e
g
u
m
s
w
e
lli
n
g
w
h
ic
h
m
a
y
af
f
e
ct
o
u
r
j
aw
b
o
n
es
a
n
d
r
elate
d
n
er
v
es
an
d
ti
s
s
u
es.
B
ac
ter
ia
b
io
f
il
m
s
ar
e
a
m
aj
o
r
r
ea
s
o
n
b
eh
i
n
d
th
e
d
a
m
a
g
e
o
f
g
u
m
s
,
ce
m
en
t
u
m
co
v
er
in
g
u
p
o
n
r
o
o
ts
,
alv
eo
lar
n
er
v
e
s
,
p
er
io
d
o
n
tal
lig
a
m
e
n
t
s
,
etc.
Gi
n
g
i
v
iti
s
i
s
a
t
y
p
e
o
f
p
er
io
d
o
n
tal
d
is
ea
s
e
w
h
ic
h
is
v
er
y
co
m
m
o
n
a
n
d
r
ec
cu
r
in
g
i
n
h
u
m
a
n
s
.
F
o
llo
w
i
n
g
F
ig
u
r
e
1
s
h
o
w
s
g
in
g
i
v
iti
s
af
f
ec
ted
in
tr
ao
r
al
i
m
a
g
e.
Fig
u
r
e
1
.
An
in
tr
ao
r
al
i
m
ag
e
s
h
o
w
in
g
g
in
g
i
v
iti
s
L
iter
at
u
r
e
s
u
r
v
e
y
Gin
g
ivitis
a
n
d
its
ca
u
s
es
T
h
e
s
i
m
p
le
m
ea
n
i
n
g
o
f
p
er
io
d
o
n
tal
is
“
p
er
io
”
th
at
m
ea
n
s
ar
o
u
n
d
an
d
“
d
o
n
tal”
w
h
ic
h
m
ea
n
s
teet
h
.
I
n
o
th
er
w
o
r
d
s
,
p
er
io
d
o
n
tal
d
is
ea
s
e
i
s
a
t
y
p
e
o
f
g
u
m
d
is
ea
s
e
ca
u
s
ed
b
y
t
h
e
ac
u
te
co
lo
n
i
za
tio
n
o
f
b
ac
ter
ia.
T
h
e
co
m
m
o
n
s
y
s
m
p
to
m
s
ar
e
w
it
h
m
o
r
e
g
u
m
s
w
ell
in
g
an
d
s
o
r
en
ess
,
w
h
ic
h
m
a
y
e
v
e
n
d
am
ag
e
t
h
e
j
a
w
b
o
n
es
an
d
co
r
r
esp
o
n
d
in
g
n
er
v
e
s
a
n
d
tis
s
u
es.
Gi
n
g
iv
i
tis
an
d
p
er
io
d
o
n
titi
s
[
9
]
ar
e
th
e
m
o
s
t
co
m
m
o
n
b
ac
ter
ial
in
f
ec
tio
n
s
in
t
h
e
h
u
m
a
n
cr
an
io
f
ac
ial
ar
ea
.
T
h
e
s
ed
i
m
en
tat
io
n
o
f
p
laq
u
e
o
n
t
h
e
s
u
r
f
ac
e
o
f
teeth
lead
s
to
g
in
g
i
v
iti
s
d
u
e
to
ir
r
eg
u
lar
a
n
d
i
m
p
r
o
p
er
d
en
tal
ca
r
e.
W
h
en
u
n
tr
ea
ted
ea
r
l
y
,
it
m
a
y
e
m
er
g
e
to
ir
r
ev
er
s
ib
le
p
er
io
d
o
n
tal
d
is
ea
s
es d
u
e
to
s
e
cr
etatio
n
o
f
h
ar
m
f
u
l to
x
i
n
s
.
R
ela
ted
w
o
r
ks o
n
s
ec
r
et
s
h
a
r
i
n
g
Sh
a
m
ir
’
s
Secr
et
Sh
ar
i
n
g
Sc
h
e
m
e
[
7
]
is
m
ath
e
m
at
icall
y
b
ase
d
o
n
{
,
∶
<
=
}
th
r
es
h
o
ld
s
y
s
te
m
,
w
h
er
e
an
d
r
ep
r
esen
ts
th
e
n
u
m
b
er
o
f
r
ec
eiv
er
s
an
d
th
r
es
h
o
ld
v
alu
e
r
esp
ec
ti
v
el
y
.
Her
e
ac
cu
m
u
latio
n
o
f
(
−
1
)
d
eg
r
ee
p
o
ly
n
o
m
ial
i
s
n
ec
es
s
ar
y
.
So
,
p
o
l
y
n
o
m
ial
f
u
n
ctio
n
is
o
f
th
e
o
r
d
er
(
−
1
)
is
co
n
s
tr
u
ct
ed
b
y
t
h
e
f
o
llo
w
in
g
(
1
)
.
(
)
=
(
0
+
1
1
+
2
2
+
…
+
−
1
−
1
)
(
1
)
w
h
er
e
0
is
th
e
s
ec
r
et
an
d
i
s
a
p
r
im
e
n
u
m
b
er
an
d
th
e
r
e
m
ain
in
g
co
ef
f
icie
n
ts
ar
e
tak
en
r
an
d
o
m
l
y
f
r
o
m
t
h
e
s
ec
r
et.
B
lak
e
y
h
a
s
u
s
ed
g
eo
m
etr
y
to
s
o
lv
e
s
ec
r
et
s
h
ar
i
n
g
p
r
o
b
lem
[
8
]
.
T
h
e
s
ec
r
et
d
ata
is
a
p
o
in
t
t
h
at
lie
s
o
n
a
−
d
im
e
n
s
io
n
al
s
p
ac
e
an
d
co
r
r
esp
o
n
d
in
g
n
s
h
ar
es
ar
e
a
af
f
i
n
e
h
y
p
er
p
lan
e
s
t
h
at
in
ter
s
ec
t
h
er
e.
T
h
e
s
et
s
o
lu
tio
n
=
(
1
,
2
,
3
,
4
,
…
,
)
to
an
eq
u
atio
n
1
1
+
2
2
+
⋯
+
=
f
o
r
m
s
an
a
f
f
in
e
h
y
p
er
p
lan
e.
T
h
e
s
ec
r
et
th
e
in
ter
s
ec
tio
n
p
o
in
t
is
ca
lcu
lated
b
y
f
in
d
in
g
th
e
i
n
ter
s
ec
tio
n
o
f
an
y
k
o
f
th
e
s
e
h
y
p
e
r
p
lan
es.
A
b
o
v
e
s
tated
s
ec
r
et
s
h
ar
i
n
g
s
c
h
e
m
es
ar
e
co
n
s
id
e
r
ed
as
a
p
er
f
ec
t
s
ec
r
et
s
h
ar
i
n
g
s
c
h
e
m
e
b
ec
au
s
e
ac
cu
m
u
lat
io
n
o
f
(
k
-
1
)
s
h
ar
es d
o
esn
’
t e
x
p
o
s
e
an
y
d
ata.
P
r
o
b
lem
f
i
n
d
in
g
s
Gin
g
i
v
itis
[
9
]
is
a
s
ig
n
i
f
ica
n
t
co
m
m
o
n
p
er
io
d
o
n
tal
d
is
ea
s
e
w
h
ich
a
f
f
ec
ts
t
h
e
p
er
io
d
o
n
tu
m
an
d
r
elate
d
h
u
m
a
n
o
r
g
an
s
.
I
t
is
a
f
r
eq
u
e
n
t
an
d
r
ec
u
r
r
i
n
g
d
is
ea
s
e
in
r
u
r
al
ar
ea
s
.
Gin
g
i
v
iti
s
is
ca
u
s
ed
b
y
t
h
e
b
ac
ter
ia
in
f
ec
tio
n
i
n
s
id
e
th
e
m
o
u
t
h
.
I
n
s
u
c
h
r
e
m
o
te
ar
ea
s
th
er
e
ex
is
t
s
a
lack
o
f
i
n
f
r
as
tr
u
ct
u
r
e
w
i
th
m
ed
ical
p
er
s
p
ec
tiv
e.
T
h
e
av
ailab
ilit
y
o
f
e
x
p
er
tis
e
p
er
s
o
n
n
el
s
u
ch
as
d
en
ti
s
ts
,
p
h
y
s
icia
n
s
,
a
n
ae
s
th
e
tics
,
p
ae
d
i
atr
ician
s
,
d
iet
icia
n
s
,
etc
is
v
er
y
r
ar
e
in
s
u
ch
r
e
m
o
te
ar
ea
s
.
I
n
m
o
s
t
o
f
th
e
r
u
r
al
ar
ea
s
,
th
er
e
ar
e
n
o
s
u
ch
r
ep
u
ted
X
–
R
a
y
cli
n
ics,
p
ath
o
lo
g
ical
lab
o
r
ato
r
ies,
m
e
d
ical
s
u
p
p
o
r
t
clin
ics,
etc.
T
h
e
p
atien
ts
b
elo
n
g
i
n
g
f
r
o
m
th
e
s
e
ar
ea
s
s
u
f
f
er
a
lo
t.
Sin
ce
t
h
e
y
d
o
n
o
t
g
et
p
ar
tic
u
la
r
ex
p
er
t
o
p
in
io
n
d
u
e
to
v
ar
io
u
s
r
ea
s
o
n
s
,
t
h
eir
d
is
ea
s
e
g
et
s
u
n
tr
ea
ted
an
d
f
u
r
t
h
er
d
am
a
g
e
lead
s
to
ir
r
ev
er
s
ib
le
s
tates
o
f
th
e
p
er
io
d
o
n
tu
m
.
A
l
s
o
in
r
e
m
o
te
v
i
llag
e
s
n
o
s
u
c
h
ex
p
er
t
p
er
s
o
n
s
ar
e
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
AI
I
SS
N:
2252
-
8938
C
o
mp
u
ta
tio
n
a
l in
tellig
en
ce
b
a
s
ed
lo
s
s
les
s
r
eg
en
era
ti
o
n
(
C
I
L
R
)
o
f b
lo
ck
ed
g
in
g
ivitis
.
.
.
(
Jo
yd
ee
p
Dey
)
199
av
ailab
le
w
h
o
ar
e
ca
p
ab
le
o
f
o
b
s
er
v
in
g
t
h
e
s
y
m
p
to
m
s
o
f
th
e
g
in
g
i
v
iti
s
ef
f
icie
n
tl
y
.
T
h
at
is
n
o
ex
p
er
t
v
is
u
aliza
t
io
n
o
f
t
h
e
d
is
ea
s
e.
I
f
s
u
ch
e
x
p
er
t
p
er
s
o
n
s
ar
e
av
ail
ab
le
in
r
e
m
o
te
ar
ea
s
,
th
en
t
h
e
y
co
u
ld
p
h
y
s
icall
y
v
er
if
y
th
e
af
f
ec
t
b
o
d
y
p
ar
t
an
d
co
llect
th
e
s
p
ec
i
f
ied
s
y
m
p
to
m
s
o
f
g
i
n
g
iv
itis
f
r
o
m
p
atie
n
ts
,
an
d
h
en
ce
w
o
u
l
d
p
r
o
v
id
e
in
p
u
t
s
to
t
h
e
e
x
i
s
ti
n
g
m
ed
ical
e
x
p
er
t
s
y
s
te
m
.
I
f
t
h
es
e
p
er
s
o
n
s
p
r
o
v
id
e
i
n
v
alid
a
n
d
n
o
n
s
p
ec
if
ic
i
n
p
u
t
s
to
th
e
e
x
p
er
t
s
y
s
te
m
,
t
h
en
w
r
o
n
g
d
ia
g
n
o
s
is
o
f
t
h
e
d
is
ea
s
e
w
il
l
b
e
g
e
n
er
ated
.
T
h
u
s
th
e
tr
ea
t
m
e
n
t
p
r
o
ce
d
u
r
e
w
o
u
ld
b
e
in
w
r
o
n
g
p
ath
to
f
o
llo
w
w
h
ic
h
i
s
n
o
t
at
all
d
esira
b
le.
Su
ch
a
v
ita
l
g
i
n
g
iv
i
tis
d
i
s
ea
s
e
n
ee
d
s
p
r
o
p
e
r
m
ed
ical
d
ia
g
n
o
s
is
in
ap
p
r
o
p
r
i
ate
ti
m
e
s
o
t
h
at
t
h
e
p
atien
t
s
g
e
t s
u
itab
le
m
ed
ical
ad
v
ice
f
r
o
m
ex
p
er
t d
e
n
tis
t
s
a
n
d
p
h
y
s
ician
s
.
Fo
r
t
h
i
s
r
ea
s
o
n
a
n
o
n
lin
e
s
ec
u
r
ed
tr
an
s
m
is
s
io
n
tec
h
n
iq
u
e
is
n
ee
d
ed
f
o
r
tr
an
s
m
itt
in
g
v
ar
io
u
s
in
tr
ao
r
al
i
m
a
g
es
to
v
ar
io
u
s
d
en
tis
t
s
o
r
p
h
y
s
icia
n
s
f
o
r
th
eir
ex
p
er
t
o
p
in
io
n
b
y
p
r
eser
v
in
g
th
e
lo
s
s
les
s
d
ata
p
r
o
p
er
ty
.
So
lu
tio
n
s
tr
ata
Secr
et
s
h
ar
i
n
g
[
7
,
8
]
o
n
th
e
in
tr
ao
r
al
i
m
a
g
e
s
h
a
s
b
ee
n
p
r
o
p
o
s
e
d
f
o
r
p
o
s
itiv
e
tr
e
at
m
e
n
t
i
n
t
h
e
m
ed
ical
d
o
m
ai
n
.
Ses
s
io
n
k
e
y
h
as
b
ee
n
g
e
n
er
ated
u
s
in
g
a
h
as
h
f
u
n
ctio
n
in
th
i
s
tec
h
n
iq
u
e
to
f
ac
i
litate
t
h
e
r
an
d
o
m
n
e
s
s
.
I
n
tr
ao
r
al
i
m
a
g
es
ar
e
b
ein
g
b
lo
ck
ed
in
to
h
o
m
o
g
en
eo
u
s
e
n
titi
e
s
b
ef
o
r
e
w
r
ap
p
ed
b
y
th
e
p
r
o
p
o
s
ed
en
cr
y
p
tio
n
f
r
a
m
e
f
o
r
m
at.
P
ar
tial
s
h
ar
es
ar
e
g
en
er
ated
w
it
h
t
h
e
p
r
o
p
s
ed
m
as
k
m
atr
i
x
w
it
h
t
h
e
ad
d
ed
f
lav
o
u
r
o
f
lo
s
s
les
s
co
m
p
u
ta
tio
n
i
n
telli
g
e
n
ce
.
Deta
iled
ex
p
lan
a
tio
n
s
o
f
th
e
p
r
o
p
o
s
ed
tech
n
iq
u
e
o
v
er
th
e
d
en
tal
t
r
ea
t
m
en
t
h
av
e
b
ee
n
d
escr
ib
ed
in
t
h
e
lat
er
s
ec
tio
n
s
.
2.
P
RO
P
O
SE
D
M
E
T
H
O
D
O
L
O
G
Y
T
o
s
u
b
s
tan
tia
te
th
e
p
r
o
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lem
f
i
n
d
in
g
s
s
p
ec
i
f
ied
in
ab
o
v
e
s
ec
t
io
n
,
a
m
a
s
k
b
ased
en
cr
y
p
tio
n
tech
n
iq
u
e
[
1
0
]
h
av
e
b
ee
n
ap
p
lied
.
A
n
i
m
a
g
e
w
il
l
b
e
d
iv
id
ed
in
to
s
ev
er
al
p
ar
tial
p
ar
ts
,
o
u
t
o
f
w
h
ic
h
m
i
n
i
m
u
m
t
h
r
es
h
o
ld
n
u
m
b
er
o
f
s
h
ar
es
ar
e
m
an
d
at
o
r
y
to
r
eg
e
n
er
ate
t
h
e
o
r
i
g
in
a
l
i
m
a
g
e
w
it
h
o
u
t
an
y
lo
s
s
o
f
i
n
teg
r
i
t
y
.
J
o
in
in
g
o
f
m
i
n
i
m
u
m
p
ar
tial
s
h
ar
e
s
ac
co
m
p
lis
h
es
th
e
lo
s
s
le
s
s
j
o
in
i
n
g
o
f
d
ata
s
h
ar
es.
T
h
e
o
b
j
ec
tiv
e
o
f
th
i
s
m
eth
o
d
o
lo
g
y
i
s
to
o
b
tain
a
lo
s
s
les
s
an
d
s
ec
u
r
ed
tr
an
s
m
is
s
io
n
o
f
in
tr
ao
r
al
i
m
ag
e
f
o
r
th
e
g
r
e
ater
b
en
e
f
it
s
o
f
th
e
co
m
m
u
n
it
y
.
E
v
en
f
r
o
m
r
e
m
o
te
lo
ca
tio
n
s
,
ex
p
er
t
o
p
in
io
n
ca
n
b
e
ea
s
il
y
a
v
ailab
le
f
o
r
m
y
r
iad
d
en
ta
l
d
is
ea
s
e
s
.
S
u
c
h
a
n
in
n
o
v
ati
v
e
m
o
v
e
m
a
y
e
v
o
lv
e
a
s
a
p
r
o
to
co
l in
th
e
w
ell
s
ec
u
r
e
d
tele
m
ed
icin
e
s
ec
to
r
[
1
1
,
1
2
]
.
2
.
1
.
P
r
o
po
s
ed
a
lg
o
rit
h
m
:
CI
L
R
o
f
intr
a
o
ra
l I
m
a
g
e
t
ra
ns
po
rt
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t
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q
u
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t(s):
(
)
,
(
1
.
)
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p
u
t(s):
,
∶
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tp
u
t(s):
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e
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n
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2
.
2
.
P
r
o
po
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ed
m
a
s
k g
ener
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A
p
r
o
p
o
s
ed
m
as
k
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g
tec
h
n
iq
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e
o
n
th
e
p
r
e
-
d
ef
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n
n
u
m
b
er
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f
s
h
ar
es
an
d
th
en
to
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er
f
o
r
m
OR
o
p
er
atio
n
o
n
th
e
p
r
e
-
d
ef
in
ed
n
u
m
b
er
o
f
s
h
ar
es
to
r
eg
e
n
er
ate
th
e
o
r
ig
i
n
al
tr
an
s
m
it
t
ed
d
ata
en
s
u
r
in
g
th
e
lo
s
s
less
o
f
d
ata.
Fo
r
s
i
m
p
l
icit
y
let
u
s
a
s
s
u
m
e
a
s
ec
r
et
d
a
ta
to
b
e
tr
an
s
m
itted
th
r
o
u
g
h
w
ir
ele
s
s
m
ed
ia
as
a
s
eq
u
en
ce
o
f
b
in
ar
y
b
it
s
w
h
ic
h
co
n
s
i
s
ts
o
f
1
an
d
0
.
T
h
e
s
ec
r
et
d
ata
m
a
y
b
e
co
n
s
id
er
ed
as
an
i
m
a
g
e,
au
d
io
,
v
id
eo
o
r
an
y
tex
t
f
ile.
T
h
e
p
r
i
m
ar
y
tas
k
is
to
d
ec
o
m
p
o
s
e
t
h
e
b
in
ar
y
f
i
le
o
f
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y
s
ize
i
n
to
n
u
m
b
er
o
f
s
h
ar
es.
An
d
o
n
th
e
r
ev
er
s
e
ter
m
in
a
l
en
d
,
if
w
e
p
er
f
o
r
m
b
it
w
is
e
O
R
o
p
er
atio
n
u
p
o
n
n
u
m
b
er
o
f
s
h
ar
es
th
e
n
o
n
l
y
th
e
o
r
ig
in
a
l
d
ata
w
ill
b
e
r
ec
o
n
s
tr
u
cted
,
n
o
t
ev
e
n
u
p
o
n
(
−
1
)
s
h
ar
es
[
1
3
]
.
E
v
er
y
s
h
ar
e
m
u
s
t
h
av
e
s
o
m
e
m
is
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e
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ep
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d
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s
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e
x
ac
tl
y
.
T
h
e
len
g
t
h
o
f
ea
c
h
m
as
k
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
-
8
9
3
8
IJ
-
A
I
Vo
l.
8
,
No
.
3
,
Sep
tem
b
er
201
9
:
1
9
7
–
204
200
ca
n
b
e
ca
lc
u
lated
as
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C
k
-
1
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.
!
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m
is
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et
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ata
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it
s
ar
e
v
alu
ed
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-
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C
k
-
2
a
n
d
n
-
1
C
n
-
k
r
esp
ec
ti
v
el
y
[
5
]
.
2
.
2
.
1
.
P
ro
po
s
ed
m
a
s
k
g
ener
a
t
io
n a
lg
o
rit
h
m
Alg
o
r
ith
m
:
Pro
p
o
se
d
M
a
s
k
G
e
n
e
r
a
tio
n
In
p
u
t(s):
:
,
:
ℎ
ℎ
Ou
tp
u
t(s):
.
S
e
t
S
IZE
←
n
C
k
S
e
t
←
(
2
,
)
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e
t
=
=
0
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e
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-
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[
>
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−
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if
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d
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(
(
[
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(
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th
e
n
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+
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se
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d
o
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[
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d
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h
il
e
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(
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0
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th
e
n
FIN[
K2
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]
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EN[
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FIN[
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[
]
←
(
[
]
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En
d
f
o
r
[
]
[
]
←
[
[
]
[
]
]
2
.
3
.
P
r
o
po
s
ed
s
ess
io
n
key
g
ener
a
t
io
n
T
h
e
d
en
tis
t
h
as b
ee
n
as
s
ig
n
ed
w
it
h
a
u
n
iq
u
e
tr
an
s
m
i
s
s
io
n
k
e
y
(
)
f
o
r
co
n
d
u
cti
n
g
s
u
c
h
lo
s
s
less
an
d
s
ec
u
r
ed
ch
an
n
eliza
tio
n
o
f
an
y
i
n
tr
ao
r
al
i
m
ag
e.
I
n
itia
ll
y
t
h
e
tr
an
s
m
i
s
s
io
n
k
e
y
(
)
is
b
ein
g
en
cr
y
p
ted
to
co
n
s
tr
u
ct
a
n
in
ter
m
ed
iate
k
e
y
(
)
,
w
h
ich
i
n
th
e
n
f
ed
in
to
m
e
s
s
a
g
e
d
ig
est
al
g
o
r
ith
m
to
g
en
er
ate
th
e
s
e
s
s
io
n
k
e
y
.
T
h
e
f
o
llo
w
i
n
g
alg
o
r
ith
m
ill
u
s
tr
ate
s
th
e
co
n
c
ep
t o
f
cr
ea
tio
n
o
f
s
es
s
io
n
k
e
y
b
y
t
h
e
d
en
ti
s
t.
Alg
o
r
ith
m
:
Pr
o
p
o
se
d
S
e
ss
i
o
n
K
e
y
G
e
n
e
r
a
tio
n
Re
q
u
irem
e
n
t(s):
(
)
In
p
u
t(s):
:
Ou
tp
u
t(s):
S
e
ss
io
n
k
e
y
o
f
f
i
x
e
d
len
g
th
{
/
*
In
ter
m
e
d
iate
Ke
y
Ge
n
e
ra
ti
o
n
*
/
}
[
]
=
(
)
{
/
*
S
e
ss
io
n
Ke
y
G
e
n
e
ra
ti
o
n
*
/
}
[
128
]
=
5
(
)
2
.
4
.
P
r
o
po
s
ed
s
o
urce
i
m
a
g
e
encr
y
ptio
n
T
h
e
co
n
f
id
en
tialit
y
p
ar
a
m
et
er
is
th
e
m
o
s
t
tr
u
s
t
-
w
o
r
t
h
y
i
s
s
u
e
w
h
i
le
d
ata
tr
an
s
m
is
s
io
n
in
E
-
Hea
lt
h
d
o
m
ai
n
[
1
0
,
1
3
]
.
T
h
e
f
o
llo
w
i
n
g
al
g
o
r
ith
m
h
as
b
ee
n
u
s
ed
f
o
r
th
is
p
u
r
p
o
s
e.
T
o
en
ca
p
s
u
late
th
e
en
tire
in
f
o
r
m
atio
n
i
n
p
r
o
p
o
s
ed
f
r
am
e
o
r
ien
tatio
n
,
t
h
e
in
i
tial
e
n
cr
y
p
tio
n
o
f
th
e
g
i
n
g
i
v
it
is
i
m
a
g
e
i
s
n
ee
d
ed
.
T
o
o
b
tain
an
e
x
p
er
tis
e
o
p
in
i
o
n
f
r
o
m
d
i
f
f
er
en
t
d
en
ti
s
ts
/
d
o
cto
r
s
,
th
e
p
r
eser
v
atio
n
o
f
p
a
tien
t
s
’
d
ata
o
f
a
n
y
in
tr
ao
r
al
i
m
a
g
e
h
a
s
to
b
e
en
s
u
r
ed
.
T
h
e
f
o
llo
w
i
n
g
alg
o
r
it
h
m
s
er
v
es th
e
o
b
j
ec
tiv
e
o
f
d
ata
h
id
in
g
.
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
AI
I
SS
N:
2252
-
8938
C
o
mp
u
ta
tio
n
a
l in
tellig
en
ce
b
a
s
ed
lo
s
s
les
s
r
eg
en
era
ti
o
n
(
C
I
L
R
)
o
f b
lo
ck
ed
g
in
g
ivitis
.
.
.
(
Jo
yd
ee
p
Dey
)
201
Alg
o
r
ith
m
:
Pr
o
p
o
se
d
S
o
u
r
c
e
I
m
a
g
e
En
c
r
y
p
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5
.
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o
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a
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:
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n
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Fil
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Me
s
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Di
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d
P
ad
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g
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h
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h
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y
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t d
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t
y
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n
tr
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e
s
e
n
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t
h
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w
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t
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t
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ig
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it
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t
w
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le
ast
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ig
n
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f
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t
b
it
s
d
en
o
tes 1
4
H.
T
h
e
f
o
llo
w
in
g
al
g
o
r
ith
m
ex
p
lai
n
s
t
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t
o
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a
m
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s
tr
u
ct
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r
e
b
y
t
h
e
d
en
ti
s
t.
Alg
o
r
ith
m
:
Pr
o
p
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Fra
m
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Fo
r
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t
O
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[
4
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2
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6
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P
r
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et
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tated
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m
at
.
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o
n
s
id
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ea
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ti
m
e,
XO
R
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a
s
b
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n
ca
r
r
ied
o
u
t
o
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th
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tire
f
r
a
m
e
f
o
r
m
at
b
y
its
r
ep
ea
ted
p
lacin
g
[
1
4
]
.
Ho
m
o
g
en
eit
y
o
f
a
ll s
u
c
h
b
lo
ck
s
is
m
a
in
tai
n
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in
th
is
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eth
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n
ca
s
e
o
f
th
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lti
m
ate
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f
r
a
m
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at,
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k
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o
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it
h
m
r
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th
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s
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3.
RE
SU
L
T
S
A
ND
AN
AL
Y
SI
S
O
F
P
RO
P
O
SE
D
M
E
T
H
O
DO
L
O
G
Y
3
.
1
.
H
is
t
o
g
ra
m
a
na
ly
s
i
s
T
h
e
b
in
ar
y
h
i
s
to
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r
a
m
a
n
al
y
s
i
s
d
escr
ib
es
h
o
w
b
in
ar
y
v
a
lu
e
s
o
f
a
f
ile
ar
e
d
is
tr
ib
u
ted
.
I
t
is
a
g
r
ap
h
ical
r
ep
r
esen
tatio
n
o
f
a
f
r
eq
u
en
c
y
d
is
tr
ib
u
tio
n
.
W
e
h
av
e
ex
a
m
in
ed
th
e
d
i
s
tr
ib
u
tio
n
o
f
o
u
r
d
ata,
in
clu
d
i
n
g
th
e
p
ea
k
s
,
s
p
r
ea
d
an
d
s
y
m
m
e
tr
y
o
f
th
e
cip
h
er
tex
t
an
d
s
h
ar
ed
cip
h
er
tex
t
[
1
5
]
.
T
h
e
p
ea
k
s
r
ep
r
esen
t
th
e
m
o
s
t
co
m
m
o
n
v
al
u
es
a
n
d
s
p
r
ea
d
r
ep
r
esen
ts
h
o
w
m
u
c
h
o
u
r
d
ata
v
ar
ies.
Fro
m
th
e
r
es
u
lts
i
n
T
ab
le
1
,
it
h
as
b
ee
n
o
b
s
er
v
ed
th
at
th
e
d
ata
i
s
n
o
t
s
k
e
w
ed
.
T
h
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h
i
s
to
g
r
a
m
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f
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lt
s
d
ata
s
h
o
w
s
t
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e
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s
tr
ib
u
tio
n
is
n
o
r
m
al
a
n
d
n
o
r
m
al
in
s
h
ap
e.
T
h
e
ab
o
v
e
h
is
to
g
r
a
m
s
o
f
s
h
ar
es
g
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th
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w
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p
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cr
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s
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n
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ic
k
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Usi
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cr
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to
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et
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n
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o
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t
s
y
m
m
etr
ic
k
e
y
.
T
h
is
p
r
o
v
es
s
tr
e
n
g
th
o
f
o
u
r
p
r
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p
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s
ed
s
ch
e
m
e.
T
h
e
u
s
e
o
f
s
ec
r
et
s
h
ar
i
n
g
s
ch
e
m
e
i
n
o
u
r
tech
n
iq
u
e
p
r
o
tects f
r
o
m
v
ar
io
u
s
t
y
p
es o
f
m
al
i
cio
u
s
attac
k
s
[
1
4
,
1
5
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
-
8
9
3
8
IJ
-
A
I
Vo
l.
8
,
No
.
3
,
Sep
tem
b
er
201
9
:
1
9
7
–
204
202
T
ab
le
1
.
His
to
g
r
a
m
C
o
m
p
ar
i
s
o
n
o
f
p
lain
te
x
t s
h
ar
es
w
it
h
co
r
r
esp
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n
d
in
g
p
r
o
p
o
s
ed
tech
n
iq
u
e
s
h
ar
es
(
h
av
i
n
g
n
=5
,
k
=3
)
S
l
.
N
o
.
S
e
c
r
e
t
S
h
a
r
e
I
D
H
i
st
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g
r
a
m
P
l
a
i
n
T
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x
t
H
i
st
o
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a
m
P
r
o
p
o
se
d
T
e
c
h
n
i
q
u
e
1
S
EC
S
H
-
1
2
S
EC
S
H
-
2
3
S
EC
S
H
-
3
4
S
EC
S
H
-
4
5
S
EC
S
H
-
5
3
.
2
.
E
ntr
o
py
v
a
lue a
na
ly
s
is
E
n
tr
o
p
y
i
s
es
s
en
t
iall
y
r
a
n
d
o
m
n
e
s
s
o
r
u
n
p
r
ed
ictab
ilit
y
o
f
s
o
m
et
h
i
n
g
.
I
n
cr
y
p
to
g
r
ap
h
y
,
th
i
s
r
an
d
o
m
n
e
s
s
m
u
s
t
b
e
s
u
p
p
lied
in
t
h
e
p
lain
te
x
t
m
es
s
ag
e
to
r
e
m
o
v
e
t
h
e
s
tr
u
ctu
r
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o
f
th
e
p
lain
te
x
t
m
es
s
ag
e.
Fo
llo
w
i
n
g
T
ab
le
2
s
h
o
w
s
th
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tr
o
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e.
C
o
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r
esp
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n
d
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h
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to
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r
a
m
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n
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ated
f
o
r
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o
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e
s
tated
T
ab
le
2
is
g
iv
e
n
i
n
th
e
f
o
llo
w
i
n
g
F
ig
u
r
e
2
.
T
ab
le
2
.
E
n
tr
o
p
y
v
al
u
e
S
h
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r
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I
d
En
t
r
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p
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V
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l
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e
S
EC
S
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-
1
2
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5
8
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5
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5
6
S
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4
2
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5
5
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2
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5
6
Fig
u
r
e
2
.
B
ar
Gr
ap
h
o
n
en
tr
o
p
y
v
al
u
e
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t
h
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p
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en
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y
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ted
s
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ar
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T
h
e
en
tr
o
p
h
y
v
al
u
e
s
w
h
ic
h
h
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e
b
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e
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ati
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to
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te
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I
n
s
o
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e
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k
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y
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P
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as
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o
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o
as th
er
e
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A
l
g
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h
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Acc
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y
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ti
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te
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all
y
i
n
cr
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s
e
t
h
e
m
es
s
ag
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's
e
n
tr
o
p
y
.
Fro
m
t
h
e
ab
o
v
e
T
ab
le
2
an
d
F
ig
u
r
e
2
,
w
e
ca
n
s
a
y
t
h
at
p
r
o
p
o
s
ed
tech
n
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e
p
r
o
v
id
es
r
an
d
o
m
n
e
s
s
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n
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lain
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x
t.
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
AI
I
SS
N:
2252
-
8938
C
o
mp
u
ta
tio
n
a
l in
tellig
en
ce
b
a
s
ed
lo
s
s
les
s
r
eg
en
era
ti
o
n
(
C
I
L
R
)
o
f b
lo
ck
ed
g
in
g
ivitis
.
.
.
(
Jo
yd
ee
p
Dey
)
203
3
.
3
.
E
ns
ura
nce
o
f
lo
s
s
less
da
t
a
re
s
t
ruct
uring
T
h
e
p
r
o
p
o
s
ed
tech
n
o
lo
g
y
d
ea
ls
w
it
h
r
e
v
er
s
ib
le
e
n
cr
y
p
tio
n
t
o
o
l
[
1
-
2
]
b
ased
o
n
m
er
g
i
n
g
o
f
th
r
es
h
o
l
d
n
u
m
b
er
o
f
s
h
ar
e
s
[
6
-
7
]
,
k
ee
p
i
n
g
th
e
lo
s
s
le
s
s
d
ata
in
te
g
r
it
y
i
n
tact.
T
h
e
b
ea
u
t
y
o
f
th
e
p
r
o
p
o
s
ed
m
et
h
o
d
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lo
g
y
i
s
th
at
it
h
o
ld
s
t
h
e
p
r
o
p
er
ty
o
f
lo
s
s
les
s
j
o
in
d
ec
o
m
p
o
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itio
n
w
it
h
p
r
eser
v
atio
n
o
f
d
ata
in
t
eg
r
it
y
.
As
a
w
h
o
le,
co
m
p
u
tatio
n
al
i
n
telli
g
e
n
ce
p
ar
a
m
eter
is
r
ef
lecte
d
at
p
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o
p
o
s
ed
tech
n
o
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y
.
I
t
m
ea
n
s
i
f
a
n
i
n
tr
ao
r
al
i
m
ag
e
‘
’
is
d
ec
o
m
p
o
s
ed
in
to
‘
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m
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f
s
h
ar
es
t
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en
t
h
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g
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d
f
lav
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r
o
f
th
is
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ith
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is
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ein
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o
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s
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u
cted
.
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h
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ac
ter
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tic
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e
ex
p
lai
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lae
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.
C
H
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C
K
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F
(
=
1
2
3
.
.
.
.
.
.
.
.
.
.
.
.
)
;
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s
s
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eg
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A
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≠
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3
.
.
.
.
.
.
.
.
.
.
.
.
−
1
)
;
lo
s
t r
eg
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(
B
)
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et
co
n
s
id
er
a
s
ec
r
et
i
n
tr
ao
r
al
i
m
a
g
e
lab
elled
as
D
a
n
d
co
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s
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er
t
h
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co
r
r
esp
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n
d
in
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e
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m
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o
f
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h
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e
g
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er
ated
f
o
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d
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m
p
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s
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tio
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e
=
5
an
d
t
h
e
th
r
esh
o
ld
v
alu
es
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e
=
3
.
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h
en
th
e
d
ec
o
m
p
o
s
ed
s
ec
r
et
i
m
a
g
es
ar
e
1
,
2
,
3
,
4
,
5
r
es
p
ec
tiv
el
y
.
T
h
u
s
,
th
e
f
o
llo
w
in
g
T
ab
le
3
s
h
o
w
s
t
h
e
p
o
s
s
ib
le
ca
s
es
th
at
ca
n
b
e
g
e
n
er
ated
.
T
ab
le
3
.
L
o
s
s
less
r
e
g
en
er
a
tio
n
(
n
=5
&
k
=3
)
C
a
se
I
D
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n
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n
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t
a
t
e
me
n
t
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o
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o
f
p
a
r
t
i
c
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p
a
t
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g
s
h
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>
=
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h
r
e
sh
o
l
d
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#
1
D
=
D
1
U
D
2
U
D
3
U
D
4
U
D
5
5
C
#
2
D
=
D
1
U
D
2
U
D
3
U
D
4
4
C
#
1
5
D
=
D
1
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D
3
U
D
5
3
C
#
1
6
D
=
D
2
U
D
4
U
D
5
3
4.
CO
NCLU
SI
O
N
W
e
h
av
e
p
r
esen
ted
a
s
ec
u
r
e
d
k
e
y
b
ased
s
ec
r
et
s
h
ar
in
g
ap
p
r
o
ac
h
w
it
h
m
i
n
i
m
al
co
m
p
u
tatio
n
al
o
v
er
h
ea
d
.
Her
e
k
e
y
a
s
w
e
ll
as
s
ec
r
et
d
ata
is
s
h
ar
ed
a
m
o
n
g
s
et
o
f
n
n
u
m
b
er
o
f
p
ar
tic
ip
an
ts
a
n
d
f
r
o
m
n
u
m
b
er
s
n
u
m
b
er
o
f
p
ar
ticip
a
n
ts
ar
e
ab
le
to
co
n
s
tr
u
ct
th
e
o
r
ig
i
n
a
l
m
es
s
ag
e.
T
o
th
e
b
est
o
f
o
u
r
k
n
o
w
led
g
e
th
is
is
t
h
e
s
i
m
p
le
s
t
t
h
r
es
h
o
ld
s
ec
r
et
s
h
ar
in
g
tec
h
n
iq
u
e,
p
r
ac
ticall
y
h
a
v
i
n
g
m
i
n
i
m
al
co
m
p
u
tatio
n
a
l
o
v
er
h
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d
d
u
r
in
g
b
o
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s
h
ar
e
g
en
er
atio
n
a
n
d
r
ec
o
n
s
tr
u
ct
io
n
.
ACK
NO
WL
E
D
G
E
M
E
NT
S
T
h
e
au
th
o
r
s
ac
k
n
o
w
led
g
e
th
e
m
o
r
al
a
n
d
co
n
g
e
n
ia
l
at
m
o
s
p
h
er
e
s
u
p
p
o
r
t
p
r
o
v
id
ed
b
y
th
e
Ma
h
ar
aj
ad
h
ir
aj
Ud
ay
C
h
an
d
W
o
m
en
’
s
C
o
lle
g
e,
B
.
C
.
R
o
ad
,
B
u
r
d
w
an
,
I
n
d
ia
(
A
Co
n
s
ti
tu
e
n
t
C
o
lleg
e
u
n
d
er
T
h
e
Un
i
v
er
s
it
y
o
f
B
u
r
d
w
a
n
,
I
n
d
ia)
.
RE
F
E
R
E
NC
E
S
[1
]
A
h
m
a
d
,
J.I.
,
Di
n
,
R.
,
A
h
m
a
d
,
M
.
,
Re
v
iew
o
n
P
u
b
l
ic
Ke
y
Cr
y
p
to
g
ra
p
h
y
S
c
h
e
m
e
-
Ba
se
d
P
e
rf
o
r
m
a
n
c
e
M
e
tri
c
s,
In
d
o
n
e
sia
n
J
o
u
rn
a
l
o
f
E
lec
trica
l
En
g
i
n
e
e
rin
g
a
n
d
Co
mp
u
ter
S
c
ie
n
c
e
(
IJ
EE
CS
)
V
o
l
.
1
2
,
No
.
1
,
Oc
t
o
b
e
r
2
0
1
8
,
p
p
.
386
-
3
9
2
.
[2
]
Ch
o
i
Y,
e
t
a
l.
S
e
c
u
rit
y
e
n
h
a
n
c
e
d
u
se
r
a
u
th
e
n
ti
c
a
ti
o
n
p
r
o
to
c
o
l
f
o
r
w
ir
e
les
s
se
n
so
r
n
e
tw
o
rk
s
u
sin
g
e
ll
ip
ti
c
c
u
rv
e
s
c
r
y
p
to
g
ra
p
h
y
,
S
e
n
so
rs
.
2
0
1
4
;
1
4
(
6
):
1
0
0
8
1
-
1
0
1
0
6
.
[3
]
Jia
n
g
Q,
e
t
a
l.
A
p
riv
a
c
y
‐
a
wa
re
t
w
o
‐
f
a
c
to
r
a
u
th
e
n
ti
c
a
ti
o
n
p
ro
t
o
c
o
l
b
a
se
d
o
n
e
ll
ip
ti
c
c
u
rv
e
c
r
y
p
to
g
ra
p
h
y
f
o
r
w
ir
e
les
s
se
n
so
r
n
e
tw
o
rk
s,
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
Ne
two
rk
M
a
n
a
g
e
me
n
t
.
2
0
1
7
;
2
7
(3
)
.
[4
]
Ch
a
u
d
h
ry
S
A
,
e
t
a
l.
,
An
imp
ro
v
e
d
a
n
d
p
ro
v
a
b
ly
se
c
u
re
p
riv
a
c
y
p
re
se
rv
in
g
a
u
th
e
n
ti
c
a
ti
o
n
p
ro
t
o
c
o
l
f
o
r
S
IP
,
P
e
e
r
-
to
P
e
e
r
Ne
tw
o
rk
in
g
a
n
d
A
p
p
li
c
a
ti
o
n
s.
2
0
1
7
;
1
0
(1
):
1
-
15.
[5
]
P
ra
b
ir
Kr.
Na
sk
a
r
,
Ha
ri
N
a
ra
y
a
n
Kh
a
n
,
A
tal
Ch
a
u
d
h
u
r
i,
A
Ke
y
Ba
se
d
S
e
c
u
re
T
h
re
sh
o
ld
Cry
p
to
g
ra
p
h
y
f
o
r
S
e
c
re
t
Im
a
g
e
,
In
ter
n
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
N
e
two
rk
S
e
c
u
rity
,
V
o
l
.
1
8
,
No
.
1
,
P
P
.
6
8
-
8
1
,
Ja
n
.
2
0
1
6
.
[6
]
C.
A
s
m
u
th
a
n
d
J.Blo
o
m
,
“
A
m
o
d
u
lar
to
k
e
y
s
a
f
e
g
u
a
rd
in
g
”
,
IEE
E
T
ra
n
sa
c
ti
o
n
o
n
In
f
o
rm
a
ti
o
n
T
h
e
o
ry
,
v
o
l.
2
9
,
n
o
.
2
,
p
p
.
2
0
8
-
2
1
0
.
1
9
8
3
.
[7
]
S
h
a
m
ir
A
.
,
Ho
w
to
sh
a
re
a
se
c
re
t.
Co
m
m
u
n
ica
ti
o
n
s o
f
th
e
A
CM
.
1
9
7
9
;
2
2
(1
1
):
6
1
2
-
6
1
3
.
[8
]
Blak
le
y
G
R.
,
S
a
feg
u
a
r
d
in
g
Cr
y
p
to
g
r
a
p
h
ic
Ke
y
s,
A
F
IP
S
In
tern
a
ti
o
n
a
l
W
o
rk
sh
o
p
o
n
M
a
n
a
g
in
g
Re
q
u
irem
e
n
ts
Kn
o
w
led
g
e
.
1
9
7
9
;
3
13
-
3
1
7
.
[9
]
S
fy
ro
e
ra
s
G
S
,
Ro
u
ss
a
s
N,
S
a
lep
tsis
V
G
,
A
rg
y
rio
u
C,
G
ian
n
o
u
k
a
s
A
D,
As
so
c
iatio
n
b
e
tw
e
e
n
p
e
ri
o
d
o
n
tal
d
ise
a
se
a
n
d
stro
k
e
,
J
o
u
rn
a
l
o
f
V
a
sc
u
la
r
S
u
rg
e
ry
.
2
0
1
2
;
5
5
(4
)
:
1
1
7
8
-
1
1
8
4
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
-
8
9
3
8
IJ
-
A
I
Vo
l.
8
,
No
.
3
,
Sep
tem
b
er
201
9
:
1
9
7
–
204
204
[1
0
]
A
rin
d
a
m
S
a
rk
a
r,
Jo
y
d
e
e
p
De
y
,
M
in
a
k
sh
i
Ch
a
tt
e
rjee
,
A
n
irb
a
n
B
h
o
wm
i
k
,
S
u
n
il
Ka
rf
o
r
m
a
,
Ne
u
ra
l
so
f
t
c
o
m
p
u
ti
n
g
b
a
se
d
se
c
u
re
d
tran
sm
issio
n
o
f
in
trao
ra
l
g
in
g
iv
it
is
im
a
g
e
in
e
-
h
e
a
lt
h
c
a
re
,
In
d
o
n
e
sia
n
J
o
u
rn
a
l
o
f
El
e
c
trica
l
En
g
i
n
e
e
rin
g
a
n
d
C
o
mp
u
ter
S
c
ien
c
e
,
1
4
(1
)
:
1
7
8
-
1
8
4
,
A
p
ril
2
0
1
9
.
[1
1
]
M
.
A
.
M
u
ril
lo
-
Esc
o
b
a
r,
a
n
d
e
t,
a
l.
,
A
Do
u
b
le
Ch
a
o
ti
c
L
a
y
e
r
En
c
ry
p
ti
o
n
A
lg
o
rit
h
m
f
o
r
Cli
n
ica
l
S
ig
n
a
ls
in
T
e
le
m
e
d
icin
e
,
J
o
u
rn
a
l
o
f
M
e
d
ica
l
S
y
ste
ms
,
2
0
1
7
4
1
:
5
9
.
[1
2
]
L
in
,
C.
-
F
.
,
S
h
i
h
,
S
.
-
H.
,
a
n
d
Zh
u
,
J.
-
D.,
Ch
a
o
s
b
a
se
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ste
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f
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ti
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lec
tro
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p
h
a
lo
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ra
m
sig
n
a
ls,
J
o
u
rn
a
l
o
f
M
e
d
ica
l
S
y
ste
ms
,
3
8
(
5
):1
-
1
0
,
2
0
1
4
.
[1
3
]
S
a
rk
a
r
A
.
,
De
y
J.,
Bh
o
wm
ik
A
.
,
M
a
n
d
a
l
J.K.
,
Ka
rf
o
rm
a
S
.
(2
0
1
8
)
,
En
e
rg
y
E
ff
icie
n
t
S
e
c
u
re
d
S
h
a
ri
n
g
o
f
I
n
tra
o
ra
l
Gin
g
iva
l
In
fo
rm
a
t
io
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i
n
Dig
it
a
l
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y
(
EE
S
S
-
IGI)
,
I
n
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a
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d
a
l
J.
,
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in
h
a
D.
(e
d
s)
S
o
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ial
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ra
n
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o
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m
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Dig
it
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CS
I
2
0
1
8
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m
m
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n
ica
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s in
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m
p
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ter an
d
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o
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ti
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S
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ien
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e
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V
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3
6
.
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p
rin
g
e
r,
S
i
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g
a
p
o
re
.
[1
4
]
P
ra
b
ir
Kr.
Na
sk
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r,
Ha
ri
Na
ra
y
a
n
Kh
a
n
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Ay
a
n
Ch
a
u
d
h
u
r
i,
A
tal
Ch
a
u
d
h
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ri
“
Ultra
S
e
c
u
re
d
a
n
d
A
u
th
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n
ti
c
Ke
y
Distrib
u
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P
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si
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g
a
No
v
e
l
S
e
c
re
t
S
h
a
rin
g
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e
c
h
n
iq
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e
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I
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ter
n
a
ti
o
n
a
l
J
o
u
rn
a
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o
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o
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ter
Ap
p
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s
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9
7
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8
8
8
7
)
Vo
lu
m
e
1
9
-
No
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7
,
A
p
ril
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1
.
[1
5
]
S
a
rk
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r
A
,
M
a
n
d
a
l
J
K,
S
o
f
t
c
o
m
p
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ti
n
g
b
a
se
d
Cr
y
p
to
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ra
p
h
ic
T
e
c
h
n
iq
u
e
u
sin
g
Ko
h
o
n
e
n
'
s
S
e
lf
-
Org
a
n
izin
g
M
a
p
S
y
n
c
h
ro
n
iza
ti
o
n
f
o
r
W
irele
ss
c
o
m
m
u
n
ica
ti
o
n
(KSOM
S
CT
),
In
te
rn
a
ti
o
n
a
l
J
o
u
rn
a
l
in
Fo
u
n
d
a
ti
o
n
s
o
f
Co
m
p
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ter
S
c
ien
c
e
&
T
e
c
h
n
o
lo
g
y
(
IJ
FCS
T
)
.
2
0
1
4
;
4
(5
)
:
8
5
-
1
0
0
.
B
I
O
G
RAP
H
I
E
S
O
F
AUTH
O
RS
A
n
irb
a
n
Bh
o
w
m
i
k
c
o
m
p
lete
d
Ba
c
h
e
lo
r
o
f
S
c
ien
c
e
(M
a
th
e
m
a
ti
c
s
Ho
n
o
u
rs)
f
ro
m
Bo
lp
u
r
Co
ll
e
g
e
,
Bo
lp
u
r
,
W
e
st
Be
n
g
a
l,
In
d
ia
a
n
d
M
a
ste
r
o
f
Co
m
p
u
ter
A
p
p
li
c
a
ti
o
n
f
ro
m
th
e
Un
iv
e
rsit
y
o
f
Bu
rd
w
a
n
in
y
e
a
r
2
0
0
8
.
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is
wo
rk
in
g
a
s
a
n
A
ss
istan
t
P
ro
f
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ss
o
r
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De
p
a
rtm
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t
o
f
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m
p
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ter
A
p
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c
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ti
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n
s
a
t
Cy
b
e
r
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se
a
rc
h
&
T
ra
in
in
g
In
stit
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te,
B
u
rd
w
a
n
W
e
st
Be
n
g
a
l,
In
d
ia
sin
c
e
2
0
0
8
.
He
h
a
s
p
u
b
li
sh
e
d
f
iv
e
c
o
n
f
e
re
n
c
e
p
a
p
e
rs
a
n
d
t
h
re
e
jo
u
rn
a
l
p
a
p
e
rs
a
t
re
p
u
te
d
i
n
tern
a
ti
o
n
a
l
jo
u
r
n
a
ls,
w
h
ich
a
re
a
v
a
il
a
b
le
o
n
li
n
e
.
His
m
a
in
re
se
a
rc
h
w
o
rk
f
o
c
u
se
s
o
n
Cr
y
p
to
g
ra
p
h
y
,
M
a
th
e
m
a
ti
c
a
l
M
o
d
e
ll
i
n
g
,
a
n
d
S
o
f
t
Co
m
p
u
ti
n
g
.
He
h
a
s
1
1
y
e
a
r
s
o
f
tea
c
h
in
g
e
x
p
e
r
ien
c
e
a
t
U
G
lev
e
l.
Jo
y
d
e
e
p
De
y
p
u
rse
d
Ba
c
h
e
lo
r
o
f
Co
m
p
u
ter
A
p
p
li
c
a
ti
o
n
(Ho
n
o
u
rs)
f
ro
m
C
y
b
e
r
Re
se
a
r
c
h
&
T
ra
in
in
g
In
stit
u
te,
Bu
r
d
w
a
n
,
In
d
ia
in
2
0
0
7
a
n
d
M
a
ste
r
o
f
Co
m
p
u
ter
A
p
p
li
c
a
ti
o
n
f
ro
m
th
e
Un
iv
e
rsity
o
f
Bu
rd
w
a
n
in
y
e
a
r
2
0
1
1
a
n
d
h
e
se
c
u
re
d
Un
iv
e
rsit
y
F
irst
Clas
s
F
irst
Ra
n
k
.
He
is
w
o
rk
in
g
a
s
L
e
c
tu
re
r
in
De
p
a
rtme
n
t
o
f
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m
p
u
ter
S
c
ien
c
e
s
a
t
M
.
U.C.
W
o
m
e
n
’s
Co
ll
e
g
e
,
Bu
rd
w
a
n
,
W
e
st
Be
n
g
a
l,
In
d
ia
sin
c
e
2
0
1
1
.
He
h
a
s
p
u
b
li
sh
e
d
t
h
r
e
e
jo
u
rn
a
l
p
a
p
e
rs
(S
CO
P
US
In
d
e
x
e
d
)
a
n
d
f
iv
e
in
tern
a
ti
o
n
a
l
c
o
n
f
e
re
n
c
e
s
p
a
p
e
rs.
His
m
a
in
re
se
a
r
c
h
w
o
rk
f
o
c
u
se
s
o
n
Cr
y
p
to
g
ra
p
h
y
a
n
d
Co
m
p
u
tatio
n
a
l
In
telli
g
e
n
c
e
.
He
h
a
s
8
y
e
a
r
s
a
n
d
0
.
5
y
e
a
rs
o
f
tea
c
h
in
g
e
x
p
e
rien
c
e
a
t
U
G
a
n
d
P
G
lev
e
l
re
sp
e
c
ti
v
e
l
y
.
Dr.
A
RIN
D
A
M
S
A
R
K
A
R
is
c
u
rre
n
tl
y
se
r
v
in
g
th
e
De
p
a
r
m
e
n
t
o
f
Co
m
p
u
ter
S
c
ien
c
e
&
El
e
c
tro
n
ics
,
Ra
m
a
k
rish
n
a
M
issio
n
V
i
d
y
a
m
a
n
d
ira,
Be
lu
r
M
a
t
h
-
7
1
1
2
0
2
,
H
o
w
ra
h
a
s
a
n
A
stt.
P
r
o
f
e
ss
o
r.
He
h
a
s
c
o
m
p
lete
d
h
is
M
a
ste
r
o
f
Co
m
p
u
ter
A
p
p
li
c
a
ti
o
n
(M
.
C.
A
)
d
e
g
re
e
in
th
e
y
e
a
r
o
f
2
0
0
8
f
ro
m
V
IS
V
A
BHA
R
AT
I,
S
a
n
ti
n
ik
e
tan
,
W
B,
In
d
ia
a
n
d
h
e
se
c
u
re
d
Un
iv
e
rsity
F
irst
Clas
s
F
irst
Ra
n
k
.
In
th
e
y
e
a
r
o
f
2
0
1
1
,
Dr.
S
a
rk
a
r
h
a
s
c
o
m
p
lete
d
h
is
M
.
T
e
c
h
in
Co
m
u
ter
S
c
ien
c
e
&
En
g
g
in
e
e
rin
g
d
e
g
re
e
f
ro
m
Un
iv
e
rsity
o
f
Ka
l
y
a
n
i,
W
B,
In
d
ia
a
n
d
a
lso
se
c
u
re
d
Un
iv
e
rsit
y
F
irst
Clas
s
F
irst
Ra
n
k
.
Dr.
S
a
rk
a
r
h
a
s
c
o
m
p
let
e
d
h
is
Do
c
t
o
r
o
f
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h
il
o
so
p
h
y
in
En
g
in
e
e
ri
n
g
in
th
e
y
e
a
r
o
f
2
0
1
5
f
ro
m
Un
iv
e
r
sit
y
o
f
K
a
l
y
a
n
i
u
n
d
e
r
th
e
INS
P
IRE
F
e
ll
o
w
sh
ip
S
c
h
e
m
e
o
f
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e
p
a
rt
m
e
n
t
o
f
S
c
ien
c
e
&
T
e
c
h
n
o
l
o
g
y
(DS
T
),
N
e
w
D
e
lh
i,
In
d
ia.
In
th
e
y
e
a
r
o
f
2
0
1
6
h
e
h
a
s
se
c
u
re
d
2
n
d
Ra
n
k
i
n
th
e
W
e
st
Be
n
g
a
l
Co
ll
e
g
e
S
e
rv
ice
Co
m
m
issio
n
Ex
a
m
in
a
ti
o
n
.
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h
a
s
m
o
re
th
a
n
5
0
I
n
tern
a
ti
o
n
a
l
Jo
u
rn
a
l
a
n
d
C
o
n
f
e
re
n
c
e
p
u
b
li
c
a
ti
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n
s.
S
u
n
i
l
Ka
rf
o
rm
a
h
a
s
c
o
m
p
lete
d
h
is
Ba
c
h
e
lo
rs
i
n
C
o
m
p
u
ter
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c
ien
c
e
&
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g
in
e
e
rin
g
,
a
n
d
h
is
M
a
ste
rs
in
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m
p
u
ter
S
c
ien
c
e
&
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g
in
e
e
rin
g
,
f
ro
m
Ja
d
a
v
p
u
r
Un
iv
e
rsit
y
.
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re
c
e
iv
e
d
h
is
P
h
.
D
.
in
Co
m
p
u
ter
S
c
ien
c
e
,
a
n
d
is
p
re
se
n
tl
y
P
ro
f
e
ss
o
r
&
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a
d
o
f
th
e
De
p
t.
o
f
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m
p
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ter
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c
ien
c
e
a
t
th
e
Un
iv
e
rsity
o
f
Bu
rd
w
a
n
,
In
d
ia.
His res
e
a
r
c
h
in
tere
sts in
c
lu
d
e
Ne
tw
o
rk
S
e
c
u
rit
y
,
E
-
Co
m
m
e
rc
e
,
a
n
d
Bi
o
in
f
o
rm
a
ti
c
s.
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h
a
s
p
u
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sh
e
d
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m
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ro
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p
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l
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s
w
e
ll
a
s
in
tern
a
ti
o
n
a
l
re
p
u
ted
jo
u
rn
a
ls an
d
c
o
n
f
e
re
n
c
e
s.
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