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M
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M.
Rej
i
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P.
C.
K
is
ho
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ra
j
a
,
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ha
g
y
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l
a
k
s
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m
i
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De
p
a
rte
m
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e
c
tro
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a
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m
m
u
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ica
ti
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n
g
in
e
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S
a
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a
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rsity
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nfo
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In
M
o
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il
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A
d
h
o
c
Ne
tw
o
rk
s
(M
A
NE
T
s)
th
e
re
a
re
so
m
e
se
c
u
rit
y
p
ro
b
lem
s
b
e
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a
u
se
o
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p
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i
li
ty
,
e
le
m
e
n
t
to
p
o
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o
g
y
c
h
a
n
g
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s,
a
n
d
a
b
se
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c
e
o
f
a
n
y
f
ra
m
e
w
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rk
.
In
M
A
NE
T
s,
it
is
o
f
e
x
trao
rd
in
a
ry
si
g
n
if
ica
n
c
e
to
id
e
n
ti
fy
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o
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siste
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y
a
n
d
m
a
li
g
n
a
n
t
c
o
n
d
u
c
t.
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it
h
a
s
p
e
c
if
ic
e
n
d
g
o
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l
t
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re
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o
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ize
m
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ss
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lt
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b
y
m
e
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n
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a
v
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s
o
m
e
c
o
m
p
o
n
e
n
ts.
T
h
u
s,
h
ig
h
li
g
h
t
d
e
term
in
a
ti
o
n
a
ss
u
m
e
s
b
a
sic
p
a
rt
in
re
c
o
g
n
izin
g
d
if
f
e
re
n
t
a
ss
a
u
lt
s.
In
th
e
w
rit
in
g
,
th
e
re
a
re
a
fe
w
re
c
o
m
m
e
n
d
a
ti
o
n
s to
c
h
o
o
se
su
c
h
e
le
m
e
n
ts.
F
o
r
th
e
m
o
st
p
a
rt,
P
rin
c
i
p
a
l
Co
m
p
o
n
e
n
t
A
n
a
ly
sis
(P
CA
)
b
re
a
k
s
d
o
w
n
th
e
in
f
o
rm
a
ti
o
n
se
t
a
n
d
th
e
c
h
o
se
h
ig
h
li
g
h
ts.
In
th
is
p
a
p
e
r,
w
e
h
a
v
e
g
a
th
e
re
d
a
li
st
o
f
c
a
p
a
b
il
it
ies
f
ro
m
so
m
e
c
u
tt
in
g
e
d
g
e
w
o
rk
s
in
th
e
w
rit
in
g
.
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a
ll
y
,
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r
re
p
ro
d
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c
ti
o
n
d
e
m
o
n
stra
tes
th
is
li
st
o
f
c
a
p
a
b
il
it
ies
id
e
n
ti
fy
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c
o
n
siste
n
c
y
c
o
n
d
u
c
t
m
o
re
p
re
c
ise
.
L
ik
e
wise
,
in
tere
stin
g
ly
,
we
u
ti
li
z
e
P
CA
f
o
r
in
v
e
stig
a
ti
n
g
th
e
in
f
o
rm
a
ti
o
n
se
t.
In
c
o
n
tras
t
to
P
CA
,
o
u
r
re
su
lt
s
sh
o
w
S
e
q
u
e
n
t
ial
p
a
tt
e
rn
m
in
in
g
(S
P
M
)
c
a
n
n
o
t
b
e
a
ffe
c
ted
b
y
o
u
tl
ie
r
d
a
ta
w
it
h
in
th
e
n
e
tw
o
rk
.
T
h
e
n
o
rm
a
l
a
n
d
a
tt
a
c
k
sta
te
s
a
re
si
m
u
late
d
a
n
d
th
e
re
su
lt
s
a
re
a
n
a
ly
z
e
d
u
sin
g
NS2
sim
u
lato
r.
K
ey
w
o
r
d
:
MA
NE
T
P
C
M
SP
M
Co
p
y
rig
h
t
©
2017
In
s
t
it
u
te o
f
A
d
v
a
n
c
e
d
E
n
g
i
n
e
e
rin
g
a
n
d
S
c
ien
c
e
.
Al
l
rig
h
ts
re
se
rv
e
d
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
M.
R
ej
i,
Dep
ar
te
m
en
t
o
f
E
lectr
o
n
ics a
n
d
C
o
m
m
u
n
icatio
n
E
n
g
in
ee
r
i
n
g
,
Sav
ee
t
h
a
Un
iv
er
s
it
y
,
I
n
d
ia.
E
m
ail:
r
ej
i
m
e
@
g
m
ail.
co
m
1.
I
NT
RO
D
UCT
I
O
N
P
o
r
tab
le
A
d
-
h
o
c
Net
w
o
r
k
(
MA
NE
T
)
is
an
u
n
s
tr
u
ct
u
r
ed
r
em
o
te
f
r
a
m
e
w
o
r
k
t
h
at
ca
n
b
e
d
ev
elo
p
ed
q
u
ick
l
y
,
e
v
er
y
ce
n
ter
p
o
in
t
is
s
ill
y
an
d
f
r
ee
i
n
t
h
e
f
u
n
d
a
m
en
tal
ad
m
i
n
is
tr
atio
n
.
I
n
M
A
NE
T
,
ce
n
ter
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o
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ts
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n
in
co
r
p
o
r
ate
to
th
e
f
r
a
m
e
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o
r
k
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r
is
o
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w
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t.
T
h
u
s
l
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1
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u
b
s
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h
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s
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b
r
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s
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o
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t
v
ar
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s
v
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l
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er
ab
ilit
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i
n
M
A
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T
.
P
r
in
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m
p
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en
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An
al
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s
i
s
(
P
C
A
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s
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tili
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s
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p
ar
t
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to
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t
t
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ig
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ts
[
3
]
.
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g
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,
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is
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s
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m
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-
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p
la
y
ed
th
e
p
o
s
s
ib
il
it
y
o
f
co
n
d
itio
n
ca
r
e
in
to
w
eb
s
ec
u
r
it
y
s
tr
u
ct
u
r
e.
B
ass
w
a
s
th
e
p
r
i
n
cip
le
w
h
o
b
r
o
u
g
h
t
th
is
t
h
o
u
g
h
t
in
to
f
r
a
m
e
w
o
r
k
an
d
p
r
esen
t
th
e
s
y
s
te
m
s
ec
u
r
it
y
p
er
ce
p
tio
n
p
lo
t
in
lig
h
t
o
f
m
u
lti
-
s
en
s
o
r
d
ata
b
len
d
[
1
]
p
r
o
p
o
s
es
an
o
th
er
co
m
p
o
n
e
n
t c
h
o
ice
ca
lc
u
latio
n
ca
lled
Op
ti
m
al
Featu
r
e
Selecti
o
n
ca
lcu
la
tio
n
i
n
v
ie
w
o
f
I
n
f
o
r
m
atio
n
Gai
n
R
at
io
an
d
ac
q
u
ir
e
t
h
e
e
x
ac
t
n
es
s
.
Ay
m
a
n
I
p
r
o
p
o
s
es
er
asin
g
s
u
p
e
r
f
lu
o
u
s
a
n
d
e
x
ce
s
s
ele
m
e
n
ts
f
ab
r
icate
s
a
q
u
ic
k
er
p
r
ep
ar
in
g
an
d
test
i
n
g
p
r
o
ce
d
u
r
e,
to
h
av
e
les
s
ass
et
u
tili
za
tio
n
an
d
in
ad
d
itio
n
to
k
ee
p
u
p
h
i
g
h
r
ec
o
g
n
itio
n
r
ate[
2
]
Dr
.
Sau
r
ab
h
M
u
k
h
er
j
ee
a
p
r
o
p
o
s
e
s
tr
ateg
y
Feat
u
r
e
Vitalit
y
B
ased
R
ed
u
c
tio
n
M
eth
o
d
,
to
r
ec
o
g
n
ize
v
ital
less
e
n
ed
i
n
f
o
r
m
atio
n
h
i
g
h
l
ig
h
t
s
.
W
e
ap
p
l
y
o
n
e
o
f
th
e
ef
f
ec
ti
v
e
cla
s
s
i
f
ier
g
u
i
leles
s
b
a
y
es
o
n
le
s
s
e
n
ed
d
atasets
f
o
r
in
ter
r
u
p
tio
n
r
ec
o
g
n
itio
n
[
3
]
Vetr
ich
e
lv
i
R
aj
ar
a
m
P
C
A
i
s
u
tili
ze
d
to
in
v
esti
g
ate
th
e
ch
o
s
e
hi
g
h
li
g
h
ts
.
T
h
is
is
o
n
ac
co
u
n
t
o
f
ex
ce
s
s
an
d
u
n
i
m
p
o
r
tan
t
c
o
m
p
o
n
en
t
s
f
r
eq
u
e
n
tl
y
d
i
m
i
n
i
s
h
ex
ec
u
t
io
n
o
f
t
h
e
d
is
co
v
er
y
f
r
a
m
e
w
o
r
k
[
4
]
.
Fa
n
g
L
a
n
p
r
o
p
o
s
e
a
s
tr
u
ct
u
r
e
f
o
r
s
y
s
te
m
s
ec
u
r
it
y
cir
c
u
m
s
ta
n
ce
m
i
n
d
f
u
l
n
ess
ta
k
i
n
g
in
to
ac
co
u
n
t
lear
n
in
g
d
is
co
v
er
y
[
5
]
Mo
h
a
m
m
ad
K.
Ho
u
r
i
Z
ar
ch
u
s
e
s
tr
o
n
g
P
C
A
f
o
r
b
r
ea
k
in
g
d
o
w
n
t
h
e
in
f
o
r
m
ati
o
n
s
e
t
r
ath
er
th
an
P
C
A
in
M
A
NE
T
[
6
]
.
Srilath
a
C
h
eb
r
o
lu
a
cr
o
s
s
b
r
ee
d
d
esig
n
f
o
r
j
o
in
in
g
d
iv
er
s
e
ele
m
e
n
t c
h
o
ice
ca
lc
u
latio
n
s
f
o
r
tr
u
e
in
ter
r
u
p
tio
n
id
e
n
ti
f
icatio
n
3.
ANAM
O
L
Y
DE
T
E
CT
I
O
N
E
N
G
I
N
E
C
o
n
s
is
te
n
tl
y
,
d
if
f
er
en
t
m
et
h
o
d
o
lo
g
ies
h
av
e
b
ee
n
i
n
tr
o
d
u
ce
d
k
ee
p
in
g
i
n
m
in
d
t
h
e
e
n
d
g
o
al
to
r
ec
o
g
n
ize
i
n
ter
r
u
p
tio
n
in
th
e
s
y
s
te
m
b
y
m
e
th
o
d
f
o
r
P
r
in
cip
al
C
o
m
p
o
n
e
n
t
An
al
y
s
i
s
(
P
C
A
)
.
I
n
th
i
s
s
e
g
m
e
n
t
w
e
s
u
r
v
e
y
o
n
m
ai
n
s
e
g
m
en
t i
n
v
es
tig
atio
n
an
d
s
u
cc
es
s
iv
e
e
x
a
m
p
le
m
i
n
in
g
.
a.
P
r
in
cip
al
C
o
m
p
o
n
en
t
A
n
al
y
s
is
E
s
s
en
tial
s
e
g
m
e
n
t
i
n
v
e
s
ti
g
ati
o
n
(
P
C
A
)
w
a
s
co
n
co
cted
i
n
1
9
0
1
b
y
Kar
l
P
ea
r
s
o
n
.
P
C
A
in
cl
u
d
es
a
s
cien
t
if
ic
m
eth
o
d
t
h
at
c
h
a
n
g
e
s
v
ar
io
u
s
co
n
ce
i
v
ab
l
y
r
elate
d
v
ar
iab
les
in
to
a
n
ar
r
a
n
g
e
m
e
n
t
o
f
es
ti
m
a
tio
n
s
o
f
s
tr
aig
h
tl
y
u
n
co
r
r
elate
d
v
ar
ia
b
les
ca
lled
ce
n
tr
al
p
ar
ts
.
P
C
A
is
t
h
e
m
o
s
t
ac
r
o
s
s
t
h
e
b
o
ar
d
tech
n
iq
u
e
f
o
r
in
f
o
r
m
atio
n
p
r
es
s
u
r
e
an
d
r
ep
r
esen
tatio
n
[
4
]
.
F
u
n
d
a
m
e
n
tal
p
o
in
t
o
f
in
ter
e
s
t
o
f
P
C
A
is
t
h
at
o
n
ce
y
o
u
h
a
v
e
f
o
u
n
d
t
h
ese
e
x
a
m
p
les
i
n
th
e
in
f
o
r
m
atio
n
,
y
o
u
p
ac
k
t
h
e
i
n
f
o
r
m
atio
n
,
i.e
.
b
y
d
i
m
i
n
is
h
i
n
g
th
e
q
u
a
n
tit
y
o
f
m
ea
s
u
r
e
m
e
n
t
s
,
w
ith
o
u
t
m
u
c
h
lo
s
s
o
f
d
ata.
B
y
an
d
lar
g
e,
P
C
A
tr
ies
to
g
i
v
e
u
s
th
e
m
o
s
t
i
m
p
er
ati
v
e
h
u
b
,
ex
p
r
ess
t
h
e
d
is
s
e
m
i
n
ati
n
g
o
f
i
n
f
o
r
m
atio
n
,
b
y
d
is
co
v
er
in
g
r
el
atio
n
s
h
ip
b
et
w
ee
n
d
if
f
er
e
n
t c
o
m
p
o
n
en
t
.
Step
s
f
o
r
P
r
in
cip
al
co
m
p
o
n
en
t
An
al
y
s
i
s
:
a)
T
ak
in
g
t
h
e
w
h
o
le
d
ataset
i
g
n
o
r
in
g
t
h
e
clas
s
lab
els
b)
C
o
m
p
u
tin
g
t
h
e
d
-
d
i
m
en
s
io
n
al
m
ea
n
v
ec
to
r
c)
C
o
m
p
u
tin
g
t
h
e
Scatter
Ma
tr
i
x
d)
C
o
m
p
u
tin
g
t
h
e
C
o
v
ar
ia
n
ce
M
atr
ix
(
alter
n
ati
v
el
y
to
th
e
s
ca
tt
er
m
a
tr
ix
)
e)
C
o
m
p
u
t
in
g
ei
g
en
v
ec
to
r
s
a
n
d
co
r
r
esp
o
n
d
in
g
eig
e
n
v
al
u
es
f)
T
r
an
s
f
o
r
m
i
n
g
t
h
e
s
a
m
p
les o
n
t
o
th
e
n
e
w
s
u
b
s
p
ac
e
b.
Seq
u
en
t
ial
P
atter
n
Ma
tch
in
g
Step
s
f
o
r
Seq
u
e
n
tial P
atter
n
M
atch
i
n
g
:
a)
On
ce
t
h
e
f
ea
t
u
r
e
s
elec
tio
n
p
r
o
ce
s
s
g
ets
co
m
p
leted
,
s
eq
u
e
n
c
e
o
f
t
h
e
f
ea
tu
r
e
s
is
f
o
r
m
ed
f
o
r
all
n
o
d
es
in
th
e
n
ei
g
h
b
o
r
h
o
o
d
.
b)
I
n
th
e
f
o
r
m
ed
s
eq
u
e
n
ce
ea
ch
r
o
w
r
ep
r
esen
ts
t
h
e
n
o
d
es
an
d
ea
ch
f
ield
r
ep
r
esen
t
s
th
e
f
ea
t
u
r
e
o
f
th
e
p
ar
ticu
lar
n
o
d
es
c)
T
h
e
r
ef
er
en
ce
p
atter
n
o
f
t
h
e
ea
ch
s
eq
u
e
n
ce
f
ield
is
f
o
r
m
e
d
b
y
est
i
m
a
tin
g
t
h
e
m
in
a
n
d
m
ax
b
o
u
n
d
v
alu
e
s
b
ased
o
n
th
e
a
v
er
ag
e
v
alu
e
an
d
d
if
f
er
e
n
ce
v
al
u
e
o
f
i
n
d
iv
id
u
al
s
eq
u
en
ce
.
d)
Seq
u
en
t
ial
p
atter
n
m
atch
in
g
p
r
o
ce
s
s
is
p
er
f
o
r
m
ed
b
y
c
h
ec
k
i
n
g
f
o
r
all
n
o
d
es
f
o
r
all
a
v
ailab
le
f
ea
t
u
r
es
w
it
h
t
h
e
r
ef
er
e
n
ce
f
ea
t
u
r
e
e)
Du
r
in
g
t
h
e
p
atter
n
m
atc
h
i
n
g
p
r
o
ce
s
s
,
th
e
m
atc
h
ed
f
ea
t
u
r
es
ar
e
co
n
s
ec
u
ti
v
el
y
co
m
p
a
r
ed
w
it
h
r
ef
er
en
ce
w
it
h
o
u
t
m
i
s
m
a
tch
i
n
g
f
o
r
id
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ti
f
y
i
n
g
t
h
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s
tr
o
n
g
s
e
q
u
en
tial
m
atc
h
f)
I
f
a
s
tr
o
n
g
s
eq
u
e
n
ce
m
atc
h
is
f
o
u
n
d
th
e
n
s
eq
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en
tial
p
att
er
n
is
c
h
ec
k
ed
f
o
r
s
e
m
i
s
eq
u
en
ce
b
y
v
alid
ati
n
g
t
h
e
L
P
p
o
in
t.
g)
E
ls
e
if
s
eq
u
en
ce
i
s
f
o
u
n
d
t
h
en
th
e
s
eq
u
e
n
ce
is
cla
s
s
i
f
ied
as
s
e
q
u
en
tial p
atter
n
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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h)
E
ls
e
t
h
e
p
atter
n
is
id
en
t
if
ied
as
n
o
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-
s
eq
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tial
p
atter
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.
B
as
ed
o
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t
h
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m
a
tch
i
n
g
a
n
o
m
al
y
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o
d
es
ar
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id
en
ti
f
ied
4.
F
E
AT
U
RE
S
E
L
E
C
T
I
O
N
Nee
d
less
to
s
a
y
f
ea
tu
r
e
s
e
lecti
o
n
m
et
h
o
d
o
lo
g
y
p
la
y
s
a
cr
itic
al
r
o
le
in
d
ata
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al
y
s
i
s
in
o
r
d
e
r
to
d
etec
t
d
if
f
er
e
n
t
attac
k
s
in
M
ANE
T
s
.
Featu
r
es
s
h
o
u
ld
b
e
ab
le
to
d
escr
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e
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e
b
eh
av
io
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f
th
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et
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k
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r
ec
is
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y
.
Mo
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eo
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,
if
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e
w
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s
ar
e
d
ef
in
ed
i
n
th
e
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r
e,
it
ca
n
b
e
also
d
etec
ted
b
y
th
e
s
e
p
r
o
p
er
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ea
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r
es.
T
h
u
s
,
ch
o
o
s
in
g
r
ig
h
t
an
d
d
ec
en
t
f
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tu
r
es
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n
M
A
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s
h
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s
u
s
to
k
n
o
w
m
o
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e
ab
o
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t
th
e
b
eh
a
v
i
o
r
o
f
o
u
r
n
et
w
o
r
k
f
r
o
m
d
if
f
er
en
t
asp
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ts
.
On
t
h
e
o
th
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d
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th
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e
ar
e
m
a
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k
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in
e
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er
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f
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t
u
r
es
to
an
al
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d
d
etec
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ar
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u
s
attac
k
s
.
Hu
a
n
g
et
al,
u
s
e
1
4
1
f
ea
tu
r
es
f
o
r
d
escr
ib
in
g
th
e
n
o
r
m
a
l
b
eh
av
io
r
o
f
p
r
o
to
co
l.
C
ab
r
er
a
et
al,
,
u
s
e
2
8
f
ea
tu
r
es
f
o
r
d
escr
ib
i
n
g
th
e
n
o
r
m
al
b
e
h
av
i
o
r
o
f
A
OD
V.
A
l
s
o
,
Nak
a
y
a
m
a
et
a
l,
u
s
e
1
4
f
ea
t
u
r
es
f
o
r
d
etec
tin
g
a
n
o
m
al
y
i
n
t
h
e
A
ODV
p
r
o
to
co
l.
Mo
r
eo
v
er
,
Z
h
a
n
g
et
a
l,
h
av
e
co
llected
s
o
m
e
f
ea
tu
r
e
s
r
elat
ed
to
th
e
n
o
r
m
al
b
eh
a
v
io
r
o
f
n
et
w
o
r
k
f
r
o
m
Me
d
iu
m
A
cc
ess
C
o
n
tr
o
l
(
M
A
C
)
la
y
er
,
n
et
w
o
r
k
la
y
er
,
an
d
ap
p
licatio
n
la
y
er
.
Mo
s
t
o
f
th
e
m
s
elec
t
tr
a
f
f
ic
f
ea
tu
r
e
s
an
d
ta
k
e
ad
v
a
n
ta
g
e
f
r
o
m
co
n
tr
o
l
m
e
s
s
a
g
es.
H
u
an
g
et
al,
,
d
ef
in
ed
1
3
2
tr
af
f
ic
f
ea
tu
r
e
s
f
o
r
n
o
r
m
al
b
eh
a
v
io
r
o
f
n
et
wo
r
k
b
y
co
n
s
id
er
i
n
g
s
o
m
e
i
s
s
u
es
li
k
e
t
h
e
n
u
m
b
er
o
f
s
e
n
d
,
r
ec
eiv
e,
d
r
o
p
,
an
d
f
o
r
w
ar
d
th
e
co
n
tr
o
l
p
ac
k
ets
in
5
s
ec
o
n
d
s
,
6
0
s
ec
o
n
d
s
,
an
d
9
0
0
s
ec
o
n
d
s
ti
m
e
s
lo
ts
.
Nak
a
y
a
m
a
e
t
al,
h
av
e
m
i
n
ed
1
4
f
ea
tu
r
es
f
r
o
m
t
h
e
R
R
E
Q,
R
E
R
R
,
an
d
R
R
E
P
co
n
tr
o
l
p
ac
k
ets.
A
ct
u
all
y
,
w
e
h
av
e
u
s
ed
t
h
ese
f
ea
t
u
r
es
in
o
u
r
f
ea
t
u
r
e
s
et.
I
t
is
o
f
g
r
ea
t
i
m
p
o
r
tan
ce
to
m
o
n
ito
r
an
d
u
s
e
co
n
tr
o
l
p
ac
k
et
s
in
o
r
d
er
to
d
etec
t
th
e
attac
k
s
.
A
l
o
t
o
f
attac
k
s
i
n
clu
d
i
n
g
R
R
E
Q
f
lo
o
d
in
g
,
R
E
R
R
f
lo
o
d
in
g
a
n
d
is
o
latio
n
a
f
f
ec
t
th
e
tr
a
f
f
ic
o
f
co
n
tr
o
l
p
ac
k
et
s
d
ir
ec
tl
y
.
T
h
er
ef
o
r
e,
it
is
o
f
g
r
ea
t
i
m
p
o
r
tan
ce
to
m
o
n
ito
r
t
h
ese
t
y
p
es
o
f
f
ea
tu
r
e
s
.
Ho
w
e
v
er
,
b
y
a
n
al
y
s
i
s
o
f
s
o
m
e
attac
k
s
lik
e
tu
n
n
eli
n
g
,
w
o
r
m
h
o
le,
a
n
d
r
u
s
h
i
n
g
,
w
e
co
m
e
u
p
w
ith
th
is
id
ea
t
h
at
tr
af
f
ic
f
ea
tu
r
e
s
ca
n
n
o
t
p
r
o
v
id
e
u
s
p
r
o
f
o
u
n
d
g
u
ar
a
n
tee
to
d
etec
t
all
k
i
n
d
s
o
f
attac
k
s
al
th
o
u
g
h
t
h
e
y
ar
e
n
ec
e
s
s
ar
y
.
I
n
th
i
s
w
o
r
k
,
w
it
h
r
ev
ie
w
o
f
li
ter
atu
r
e,
w
e
h
a
v
e
s
elec
ted
t
h
e
b
est
f
ea
t
u
r
es
t
h
at
ca
n
e
x
p
lain
ch
an
g
es
i
n
th
e
r
o
u
ti
n
g
tab
le
p
r
o
p
er
ly
:
T
o
I
d
en
tify
th
e
w
o
r
m
h
o
le
attac
k
s
th
e
f
o
llo
w
i
n
g
f
ea
t
u
r
es a
r
e
ch
o
s
en
,
a)
R
o
u
te
c
h
an
g
e
i
n
p
er
ce
n
tag
e
(
R
C
P
)
b)
Ho
p
s
C
h
a
n
g
e
s
o
f
all
t
h
e
r
o
u
te
s
(
HC
R
)
.
c)
Seq
u
en
ce
n
u
m
b
er
f
ie
ld
ch
an
g
es
d)
Ma
x
i
m
u
m
h
o
p
co
u
n
t
f
ield
ch
a
n
g
e
s
e)
Av
er
ag
e
s
eq
u
e
n
ce
n
u
m
b
er
f)
Av
er
ag
e
h
o
p
co
u
n
t
g)
P
ac
k
et
d
r
o
p
R
o
u
te
ch
a
n
g
e
in
p
er
ce
n
ta
g
e
(
R
C
P
)
=
(
|
P
2
–
P
1
|
+
|
P
1
−
P
2
|
)
/
|
P
1
|
.
|
P
1
|
i
n
d
icate
s
t
h
e
n
u
m
b
er
o
f
ele
m
e
n
ts
i
n
P
.
(
P
2
–
P1
)
m
ea
n
s
th
e
n
e
w
l
y
i
n
cr
ea
s
ed
r
o
u
tin
g
en
t
r
ies
d
u
r
i
n
g
th
e
ti
m
e
in
ter
v
a
l
(
t2
–
t1
)
,
an
d
(
P1
–
P
2
)
m
ea
n
s
th
e
d
elete
d
r
o
u
ti
n
g
e
n
tr
ies
d
u
r
in
g
(
t2
−
t1
)
.
T
h
e
y
to
g
et
h
er
r
ep
r
esen
t
th
e
ch
a
n
g
e
s
o
f
r
o
u
ti
n
g
en
tr
ies
in
(
t2
–
t1
)
.
Ho
p
s
C
h
an
g
es
o
f
al
l
t
h
e
r
o
u
te
s
(
HC
R
)
=
(
H2
–
H1
)
/H1
.
(
H2
–
H1
)
in
d
icate
s
t
h
e
c
h
a
n
g
es
o
f
t
h
e
s
u
m
o
f
h
o
p
s
o
f
all
r
o
u
ti
n
g
en
tr
ie
s
d
u
r
in
g
t
h
e
ti
m
e
in
ter
v
al
(
t2
–
t1
)
.
I
n
ad
d
itio
n
,
w
e
h
a
v
e
s
elec
ted
o
th
er
f
ea
t
u
r
es
t
h
at
m
o
n
ito
r
th
e
r
o
u
ti
n
g
tab
le
ch
a
n
g
es
m
o
r
e
ac
cu
r
ate:
T
h
e
m
a
x
i
m
u
m
s
eq
u
e
n
ce
n
u
m
b
er
f
ield
ch
an
g
e
s
o
f
e
n
tr
ies
o
f
ac
t
iv
e
r
o
u
te
s
i
n
th
e
r
o
u
ti
n
g
ta
b
le
.
T
h
e
m
a
x
i
m
u
m
h
o
p
co
u
n
t
f
ield
c
h
an
g
e
s
o
f
e
n
tr
ies
o
f
ac
ti
v
e
r
o
u
tes
in
th
e
r
o
u
tin
g
tab
le.
Av
er
ag
e
o
f
d
if
f
er
en
ce
s
b
et
w
ee
n
s
eq
u
en
ce
n
u
m
b
er
f
ield
o
f
R
R
E
Q
an
d
R
R
E
P
s
o
u
r
ce
n
o
d
e
an
d
s
eq
u
en
ce
n
u
m
b
er
f
ie
ld
o
f
r
o
u
ti
n
g
tab
le
en
tr
a
n
ce
p
ac
k
et
f
o
r
th
e
n
o
d
e
Av
er
ag
e
o
f
d
i
f
f
er
e
n
ce
s
b
et
w
e
en
h
o
p
co
u
n
t
f
ield
o
f
R
R
E
Q
an
d
R
R
E
P
s
o
u
r
ce
n
o
d
e
an
d
h
o
p
n
u
m
b
er
f
ield
o
f
r
o
u
ti
n
g
tab
le
en
tr
an
ce
p
ac
k
et
f
o
r
th
e
n
o
d
e.
5.
SI
M
UL
AT
I
O
N
R
E
S
UL
T
S
I
n
t
h
is
s
ec
t
io
n
w
e
p
r
esen
t
t
h
e
s
i
m
u
lat
io
n
r
e
s
u
l
ts
a
n
d
s
h
o
w
h
o
w
o
u
r
co
llected
f
ea
t
u
r
es
a
n
d
alg
o
r
ith
m
h
elp
u
s
to
d
etec
t
attac
k
s
m
o
r
e
ac
cu
r
atel
y
.
W
e
h
a
v
e
u
ti
lize
d
th
e
w
el
l
-
k
n
o
w
n
Net
w
o
r
k
S
i
m
u
lato
r
v
er
s
io
n
2
(
n
s
-
2
)
f
o
r
o
u
r
s
i
m
u
latio
n
.
I
n
th
is
s
i
m
u
latio
n
t
w
o
Sc
e
n
ar
io
s
ar
e
co
n
s
id
er
ed
:
5
.
1
.
Scena
rio
:
I
Va
ria
t
io
n w
it
h N
o
de
I
n
th
e
f
ir
s
t
s
u
b
s
ec
tio
n
th
e
i
m
p
o
r
ta
n
ce
o
f
f
ea
tu
r
e
s
elec
t
io
n
w
ill
b
e
d
escr
ib
ed
in
f
ir
s
t
s
ce
n
ar
io
.
I
n
ad
d
itio
n
,
w
e
e
v
al
u
ate
o
u
r
co
ll
ec
ted
r
ea
l ti
m
e
n
et
w
o
r
k
f
ea
tu
r
e.
W
e
p
r
o
p
o
s
e
o
u
r
ev
a
lu
at
io
n
o
n
u
s
in
g
s
eq
u
e
n
tial
p
atter
n
m
i
n
i
n
g
a
n
d
b
y
m
ea
n
s
o
f
th
at
w
e
h
av
e
p
r
o
v
id
ed
an
u
n
s
u
p
er
v
is
ed
al
g
o
r
ith
m
.
A
ct
u
al
l
y
,
w
e
w
ill
p
r
o
v
id
e
a
co
m
p
ar
is
o
n
b
et
w
ee
n
P
C
A
a
n
d
SP
M
an
d
s
h
o
w
th
e
ad
v
an
t
ag
es
o
f
u
s
i
n
g
SP
M.
T
h
e
p
er
f
o
r
m
an
ce
p
ar
a
m
eter
s
lik
e:
Evaluation Warning : The document was created with Spire.PDF for Python.
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