I
nte
rna
t
io
na
l J
o
urna
l o
f
E
lect
rica
l a
nd
Co
m
p
ute
r
E
ng
in
ee
ring
(
I
J
E
CE
)
Vo
l.
8
,
No
.
1
,
Feb
r
u
ar
y
201
8
,
p
p
.
2
5
9
~
2
7
0
I
SS
N:
2
0
8
8
-
8708
,
DOI
: 1
0
.
1
1
5
9
1
/
i
j
ec
e
.
v8
i
1
.
p
p
2
5
9
-
2
7
0
259
J
o
ur
na
l ho
m
ep
a
g
e
:
h
ttp
:
//ia
e
s
co
r
e
.
co
m/
jo
u
r
n
a
ls
/in
d
ex
.
p
h
p
/
I
JE
C
E
Presenta
tion
o
f
a
n Algo
rith
m
f
o
r S
ecure
Da
ta Tra
nsm
iss
io
n
b
a
sed
o
n O
p
ti
m
a
l
Route
Selec
tion
d
uring
Elect
ro
m
a
g
netic
Interfe
rence
Occ
urrence
A.
H
.
P
o
urs
o
lt
a
n
M
o
ha
m
m
a
di
1
,
M
.
C
hehel
A
m
ira
ni
2
,
F
.
F
a
g
hih
i
3
1,
2
De
p
a
rtm
e
n
t
o
f
El
e
c
tri
c
a
l
En
g
in
e
e
rin
g
,
Urm
F
ia Un
iv
e
rsit
y
,
Ur
m
i
a
,
Ira
n
3
S
c
ien
c
e
a
n
d
Re
se
a
rc
h
Bra
n
c
h
,
Is
lam
i
c
A
z
a
d
Un
iv
e
rsit
y
,
Teh
ra
n
,
Ir
a
n
Art
icle
I
nfo
AB
ST
RAC
T
A
r
ticle
his
to
r
y:
R
ec
eiv
ed
J
u
n
2
1
,
2
0
1
7
R
ev
i
s
ed
J
u
l
2
2
,
2
0
1
7
A
cc
ep
ted
Dec
1
1
,
2
0
1
7
T
h
is
p
a
p
e
r
p
r
o
p
o
se
s
a
c
o
m
p
re
h
e
n
siv
e
a
lg
o
rit
h
m
f
o
r
se
c
u
re
d
a
ta
tra
n
sm
issio
n
v
ia
c
o
m
m
u
n
ica
ti
o
n
c
o
n
d
u
c
to
rs
c
o
n
sid
e
ri
n
g
ro
u
te
o
p
ti
m
iza
ti
o
n
,
sh
ield
in
g
a
n
d
d
a
ta
a
u
th
e
n
ti
c
a
ti
o
n
.
Us
in
g
o
f
a
p
p
ro
p
riate
c
o
d
i
n
g
m
e
th
o
d
c
a
u
se
s
m
o
re
e
ff
ici
e
n
c
y
f
o
r
su
g
g
e
ste
d
a
l
g
o
rit
h
m
d
u
rin
g
e
lec
tro
m
a
g
n
e
ti
c
f
i
e
ld
a
tt
a
c
k
o
c
c
u
rre
n
c
e
.
In
th
is
p
a
p
e
r,
M
OM
sim
u
latio
n
v
ia
F
IKO
so
f
tw
a
re
i
s
d
o
n
e
f
o
r
f
ield
d
istri
b
u
ti
o
n
.
Du
e
to
c
rit
ica
l
situ
a
ti
o
n
o
f
m
a
l
f
u
n
c
ti
o
n
i
n
g
o
f
d
a
ta
tran
sf
e
rrin
g
,
a
p
p
ro
p
riate
sh
iel
d
is
d
e
sig
n
e
d
a
n
d
e
x
a
m
in
e
d
b
y
sh
ield
in
g
e
ffe
c
ti
v
e
n
e
ss
(S
E)
c
rit
e
rio
n
re
su
l
ted
o
f
M
OM
sim
u
latio
n
;
f
in
a
ll
y
to
a
c
h
iev
e
re
li
a
b
il
it
y
o
f
d
a
ta
se
c
u
rit
y
,
M
A
C
h
a
sh
f
u
n
c
ti
o
n
is
u
se
d
f
o
r
sp
a
c
e
w
it
h
f
i
e
ld
a
tt
a
c
k
p
ro
b
a
b
il
i
ty
,
tu
rb
o
c
o
d
e
is
e
m
p
lo
y
e
d
.
K
ey
w
o
r
d
:
E
lectr
o
m
a
g
n
etic
i
n
ter
f
er
e
n
ce
MA
C
h
a
s
h
f
u
n
c
tio
n
Op
ti
m
al
r
o
u
te
s
e
lectio
n
Secu
r
e
d
ata
tr
an
s
m
i
s
s
io
n
S
h
ield
i
n
g
e
f
f
ec
ti
v
en
e
s
s
Co
p
y
rig
h
t
©
2
0
1
8
In
stit
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
:
A
.
H.
P
o
u
r
s
o
ltan
Mo
h
a
m
m
ad
i
,
Dep
ar
t
m
en
t o
f
E
lectr
ical
E
n
g
i
n
ee
r
in
g
,
Ur
m
ia
U
n
iv
er
s
it
y
,
Ur
m
ia
-
I
r
an
.
E
m
ail: a
h
.
p
o
u
r
s
o
ltan
@
g
m
ail.
c
o
m
1.
I
NT
RO
D
UCT
I
O
N
As
d
ig
ital
s
y
s
te
m
s
m
o
v
e
to
ev
er
i
n
cr
ea
s
i
n
g
o
p
er
ati
n
g
f
r
e
q
u
en
cie
s
.
E
lectr
o
m
a
g
n
e
tic
i
n
ter
f
er
en
ce
(
E
MI
)
g
ets
in
cr
ea
s
in
g
l
y
d
if
f
ic
u
lt
to
p
r
ed
ict
[
1
]
,
[
3
]
.
A
n
al
y
tic
al
m
et
h
o
d
s
h
a
v
e
b
ee
n
d
ev
e
lo
p
ed
to
esti
m
ate
E
MI
b
y
clo
s
ed
f
o
r
m
al
s
[
2
]
,
[
4
]
,
[
5
]
.
T
o
ac
h
iev
e
elec
tr
o
m
ag
n
etic
co
m
p
atib
il
it
y
(
E
MC),
co
n
d
u
ct
ed
e
m
is
s
io
n
s
f
r
o
m
s
w
itc
h
in
g
p
o
w
er
co
n
v
er
ter
s
,
cir
cu
it
b
r
ea
k
er
,
an
d
etc.
Sh
o
u
ld
co
m
p
l
y
w
it
h
th
e
E
MI
r
e
g
u
lato
r
y
li
m
i
ts
[
6
-
9
]
.
Du
e
to
t
h
e
r
es
u
lt
s
s
u
s
ce
p
tib
ilit
y
in
v
est
ig
at
io
n
s
in
co
m
b
i
n
atio
n
w
it
h
t
h
e
k
n
o
w
n
ca
p
ab
ilit
ies
o
f
a
v
ailab
le
in
te
n
tio
n
al
elec
tr
o
m
ag
n
etic
i
n
ter
f
er
en
ce
(
I
E
MI
)
s
o
u
r
ce
s
,
it
b
ec
o
m
e
o
b
v
io
u
s
th
at
i
t
is
n
ec
ess
ar
y
to
p
r
o
tect
cr
itical
s
y
s
te
m
s
an
d
i
n
f
r
a
s
tr
u
ct
u
r
e
[
1
0
-
1
2
]
.
I
n
C
y
b
er
-
P
h
y
s
ica
l
Net
w
o
r
k
ed
S
y
s
te
m
(
C
P
NS)
,
th
er
e
ar
e
t
w
o
m
a
in
asp
ec
ts
:
E
MI
a
n
d
Fal
s
e
d
ata
i
n
j
ec
tio
n
[
1
3
]
.
s
o
,
f
o
r
d
esig
n
i
n
g
a
s
y
s
te
m
w
i
th
attac
k
p
r
o
b
ab
i
lit
y
o
p
ti
m
ized
r
o
u
t
e
s
elec
tio
n
to
ac
h
ie
v
e
m
a
x
i
m
u
m
ab
ilit
y
a
g
ai
n
s
t
E
MI
m
u
s
t
b
e
p
r
o
v
id
ed
f
o
r
a
ca
v
it
y
w
ith
tr
an
s
m
is
s
io
n
co
n
d
u
cto
r
s
,
ap
p
r
o
p
r
iate
r
o
u
te
s
elec
tio
n
ca
n
b
e
d
o
n
e
v
ia
An
al
y
tical
Hier
ar
ch
y
P
r
o
ce
s
s
(
A
HP
)
,
Fu
s
s
y
A
HP
,
A
r
ti
f
icial
Neu
r
al
Net
w
o
r
k
(
ANN)
,
etc.
th
e
AHP
ap
p
r
o
ac
h
is
a
f
lex
ib
le
b
u
t
W
ell
-
Str
u
ct
u
r
ed
m
e
th
o
d
o
lo
g
y
to
an
al
y
ze
an
d
s
o
lv
e
co
m
p
le
x
d
e
cisi
o
n
p
r
o
b
le
m
s
b
y
s
tr
u
ct
u
r
in
g
t
h
e
m
i
n
to
a
h
ier
ar
ch
ical
f
r
a
m
e
w
o
r
k
[
1
4
-
1
6
]
.
A
n
i
m
p
o
r
tan
t
p
ar
a
m
eter
o
f
AHP
cr
iter
ia
f
o
r
r
o
u
te
s
elec
tio
n
in
p
r
o
p
o
s
ed
p
r
o
b
lem
is
E
MI
.
So
u
s
in
g
s
u
i
tab
le
n
u
m
er
ical
m
et
h
o
d
s
h
o
u
ld
b
e
e
m
p
lo
y
ed
.
Nu
m
er
ical
tec
h
n
i
q
u
es.
e.
g
.
.
.
FDT
D.
Me
th
o
d
o
f
Mo
m
e
n
t
s
(
MO
M)
an
d
h
y
b
r
id
m
eth
o
d
s
h
a
v
e
b
ee
n
ap
p
lied
as
g
e
n
er
al
s
o
l
u
tio
n
s
to
ar
b
itra
r
ily
s
h
ap
ed
ap
er
tu
r
es,
a
ch
iev
in
g
e
x
ce
lle
n
t
ag
r
ee
m
e
n
t
w
it
h
m
ea
s
u
r
e
m
e
n
t
s
.
Am
o
n
g
all
o
f
t
h
ese
n
u
m
er
i
ca
l
tech
n
iq
u
es.
MO
M
i
s
esp
ec
iall
y
e
f
f
icien
t
f
o
r
s
o
lv
i
n
g
o
p
en
-
s
p
ac
e
r
ad
iat
io
n
p
r
o
b
lem
s
[
1
7
-
2
0
]
.
T
h
er
ef
o
r
e
f
lu
x
d
is
tr
ib
u
tio
n
in
a
ca
v
it
y
is
o
b
tain
ab
le
as
i
n
p
u
t
p
ar
am
eter
o
f
s
af
e
r
o
u
te
s
elec
ti
o
n
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
8
,
No
.
1
,
Feb
r
u
ar
y
2
0
1
8
:
2
5
9
–
2
7
0
260
A
l
s
o
,
th
e
s
h
ield
i
n
g
e
f
f
icie
n
c
y
o
f
an
e
n
clo
s
u
r
e
is
s
p
ec
i
f
ie
d
b
y
t
h
e
Sh
ield
in
g
E
f
f
ec
ti
v
e
n
es
s
(
SE)
,
d
ef
in
ed
a
s
t
h
e
r
atio
o
f
th
e
e
le
ctr
ic/
m
a
g
n
et
ic
f
ield
at
a
n
o
b
s
e
r
v
atio
n
p
o
in
t
w
it
h
o
u
t
an
d
w
i
t
h
t
h
e
e
n
clo
s
u
r
e[
1
7
]
,
[2
1
-
2
7
]
.
T
o
ac
h
iev
e
m
o
v
e
s
e
cu
r
it
y
u
s
e
o
f
t
u
r
b
o
co
d
es
i
n
P
h
y
s
ical
-
la
y
er
Net
w
o
r
k
C
o
d
in
g
(
P
NC
)
s
y
s
te
m
to
en
s
u
r
e
r
eliab
le
co
m
m
u
n
icat
i
o
n
is
s
u
g
g
e
s
ted
.
Ho
w
e
v
er
,
f
o
r
m
o
r
e
co
n
tr
ib
u
tio
n
B
it
-
E
r
r
o
r
-
R
ate
(
B
E
R
)
p
er
f
o
r
m
a
n
ce
f
o
r
p
r
o
p
o
s
ed
p
r
o
b
le
m
m
a
s
t
b
e
s
i
m
u
la
ted
[
28
3
0
]
.
Fin
d
la
y
,
Me
s
s
ag
e
Au
t
h
en
tic
atio
n
C
o
d
e
(
MA
C
)
h
as
h
f
u
n
ctio
n
ar
e
a
s
u
itab
le
m
eth
o
d
f
o
r
d
ata
au
th
e
n
tica
tio
n
d
u
r
in
g
f
al
s
e
d
ata
in
f
ec
tio
n
[
3
1
-
34
]
.
I
n
th
is
p
ap
er
,
an
en
clo
s
u
r
e
i
n
cl
u
d
in
g
tr
an
s
m
is
s
io
n
co
n
d
u
cto
r
is
s
tu
d
ied
d
u
r
in
g
I
E
MI
.
Firstl
y
b
y
u
s
i
n
g
o
f
MO
M,
f
ield
s
i
m
u
lat
io
n
w
ill
b
e
d
o
n
e
w
it
h
t
h
e
h
elp
o
f
FIK
O
s
o
f
t
w
ar
e,
s
ec
o
n
d
l
y
,
f
ield
d
is
tr
ib
u
t
io
n
is
g
iv
en
to
in
p
u
t
d
ata
f
o
r
w
ei
g
h
ti
n
g
o
f
AHP
m
e
th
o
d
.
Af
ter
R
o
u
te
Se
lec
tio
n
o
f
C
o
m
m
u
n
ica
tio
n
C
o
n
d
u
cto
r
,
C
o
d
in
g
an
d
Au
t
h
en
ticatio
n
tech
n
iq
u
e
is
ap
p
lied
as a
co
n
tr
ib
u
tio
n
o
f
co
m
p
r
e
h
en
s
i
v
e
ap
p
r
o
ac
h
.
Fo
r
p
r
o
p
o
s
ed
I
E
M
I
o
f
C
P
NS.
2.
CALCU
L
A
T
I
O
NS
AND
SI
M
UL
AT
I
O
NS F
O
R
F
I
E
L
D
DIS
T
RIB
U
T
I
O
N
:
P
r
elim
i
n
ar
ies
o
f
s
h
ield
in
g
e
f
f
e
ctiv
e
n
ess
ca
lc
u
la
t
io
n
v
ia
MO
M
f
o
r
m
u
latio
n
.
I
n
th
i
s
s
ec
tio
n
,
Sh
ield
in
g
E
f
f
ec
tiv
e
n
es
s
(
SE)
ca
lcu
la
tio
n
f
o
r
e
n
clo
s
u
r
e
s
y
s
te
m
is
d
is
c
u
s
s
ed
.
Firs
tl
y
,
MO
M
f
o
r
m
u
la
ti
o
n
is
g
iv
e
n
.
T
h
e
n
,
SE
f
o
r
m
u
la
f
o
r
en
clo
s
u
r
e
a
n
d
ca
v
it
y
is
e
x
p
lain
ed
.
Fi
n
a
ll
y
,
f
o
r
i
n
v
e
s
ti
g
ated
en
clo
s
u
r
e,
f
ield
v
ia
MO
M
s
i
m
u
lat
io
n
s
o
f
t
w
ar
e
is
d
o
n
e.
2
.
1
.
M
O
M
S
i
m
ula
t
io
n
T
o
a
p
p
ly
t
h
e
b
o
u
n
d
ar
y
co
n
d
itio
n
f
o
r
th
e
elec
tr
ic
f
ie
ld
ca
lcu
latio
n
o
n
t
h
e
s
u
r
f
ac
e
o
f
t
h
e
s
a
m
p
le
en
clo
s
u
r
e,
th
e
in
teg
r
al
eq
u
at
io
n
is
u
s
ed
as b
elo
w
[
1
7
]
.
⃑
⃑
̂
⃑
⃑
(
1
)
S
y
m
b
o
l
s
h
o
w
s
t
h
e
co
n
v
o
lu
tio
n
p
r
o
d
u
ct
f
o
r
in
te
g
r
al
o
p
er
a
tio
n
;
⃑
⃑
⃑
⃑
⃑
⃑
⃑
⃑
ar
e
th
e
elec
tr
ic
d
y
ad
ic
Gr
ee
n
’
s
f
u
n
ctio
n
s
e
x
cited
b
y
th
e
m
a
g
n
etic
a
n
d
elec
tr
ic
cu
r
r
en
t
d
en
s
ities
in
th
e
f
r
ee
s
p
ac
e,
r
esp
ec
tiv
ely
;
an
d
̂
is
th
e
o
u
t
w
ar
d
u
n
i
t
v
ec
to
r
n
o
r
m
al
to
th
e
en
clo
s
u
r
e’
s
s
u
r
f
ac
e.
T
h
e
elec
tr
ic
f
ield
⃑
⃑
at
th
e
p
o
s
itio
n
o
f
th
e
e
x
citatio
n
/o
b
s
er
v
atio
n
an
d
m
ag
n
etic
f
ield
⃑
⃑
o
n
th
e
ex
ter
io
r
s
u
r
f
ac
e
o
f
th
e
ap
er
t
u
r
e
w
er
e
ca
lcu
lated
u
s
i
n
g
th
e
b
e
lo
w
i
n
teg
r
al
f
o
r
m
u
la:
[
⃑
⃑
]
*
+
[
⃑
⃑
⃑
⃑
⃑
⃑
]
(
2
)
⃑
⃑
⃑
⃑
⃑
⃑
⃑
⃑
A
r
e
t
h
e
m
a
g
n
e
tic
d
y
ad
ic
Gr
ee
n
’
s
f
u
n
ctio
n
s
e
x
cited
b
y
t
h
e
m
ag
n
etic
an
d
elec
tr
ic
cu
r
r
en
t
d
en
s
itie
s
i
n
t
h
e
f
r
ee
s
p
ac
e,
r
esp
ec
tiv
el
y
.
So
,
f
o
r
elec
tr
o
m
ag
n
et
ic
d
is
tr
ib
u
tio
n
f
o
r
a
ca
v
it
y
w
i
th
c
ir
cu
lar
o
r
r
ec
tan
g
u
lar
ap
er
tu
r
e
a
Min
ed
P
o
ten
tial I
n
teg
r
al
E
q
u
at
io
n
(
M
P
I
E
)
as b
el
o
w
f
o
r
m
u
la
m
u
s
t b
e
s
o
lv
ed
;
̂
(
(
)
⃑
⃑
⃑
⃑
⃑
(
)
(
)
)
(
3
)
{
⃑
[
]
(
[
]
)
(
)
⃑
⃑
⃑
⃑
⃑
⃑
⃑
⃑
⃑
⃑
⃑
⃑
(
⃑
⃑
⃑
⃑
⃑
)
(
)
[
]
Usi
n
g
MO
M
[
1
]
f
o
r
f
ield
d
is
tr
ib
u
tio
n
o
f
t
h
e
s
u
r
f
ac
e
o
f
t
h
e
en
clo
s
u
r
e
w
ith
ap
er
tu
r
e
b
o
th
e
x
ter
io
r
an
d
in
ter
io
r
,
p
r
o
v
id
e
MP
I
E
is
s
o
lv
ed
.
I
n
t
h
is
w
a
y
,
m
e
s
h
ce
lls
m
u
s
t
b
e
cr
ea
ted
b
y
d
i
v
id
i
n
g
th
e
s
u
r
f
ac
e
o
f
en
clo
s
u
r
e.
T
h
en
elec
tr
ic
an
d
m
ag
n
etic
c
u
r
r
en
t
d
en
s
itie
s
d
is
tr
ib
u
tio
n
s
h
o
u
ld
b
e
co
m
p
u
ted
th
at
t
h
e
y
ca
n
b
e
ex
p
an
d
ed
in
ter
m
s
o
f
Vec
to
r
R
o
o
f
-
T
o
p
b
asic f
u
n
ct
i
o
n
[
1
7
]
.
́
∑
́
(
4
)
́
∑
́
(
5
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
P
r
esen
ta
tio
n
o
f a
n
A
lg
o
r
ith
m
fo
r
S
ec
u
r
e
Da
ta
Tr
a
n
s
mis
s
io
n
b
a
s
ed
o
n
…. (
A
.
H.
P
o
u
r
s
o
lta
n
Mo
h
a
mma
d
i
)
261
⃑
⃑
́
∑
́
(
6
)
W
h
er
e
th
e
ex
p
an
s
io
n
co
ef
f
icie
n
ts
o
f
t
h
e
elec
tr
ic
cu
r
r
en
t
d
en
s
itie
s
o
n
th
e
s
u
r
f
ac
es o
f
th
e
ex
ter
io
r
ex
citatio
n
a
n
d
th
e
e
n
clo
s
u
r
e,
r
esp
ec
tiv
el
y
.
2
.
2
.
Sh
ield
ing
E
f
f
ec
t
iv
eness
E
v
a
lua
t
io
n
T
o
ac
h
iev
e
m
o
r
e
u
n
d
er
s
ta
n
d
i
n
g
o
f
E
lectr
o
m
a
g
n
et
ic
I
n
ter
f
e
r
en
ce
(
E
MI
)
p
r
o
b
lem
a
n
d
it’s
d
ef
in
it
io
n
,
s
h
ield
i
n
g
ef
f
ec
ti
v
e
n
ess
i
s
co
m
p
u
ted
[
2
1
-
2
5
]
:
|
|
(
7
)
|
|
dB
(
8
)
SEE
an
d
SEB
is
d
i
f
f
er
en
t
f
o
r
n
ea
r
f
ield
,
b
u
t
t
h
e
y
h
a
v
e
th
e
s
o
m
e
v
al
u
e
f
o
r
f
ield
.
SE
co
e
f
f
icie
n
t
i
s
r
elate
d
to
f
r
eq
u
en
c
y
,
f
ie
ld
t
y
p
e,
f
ie
ld
in
cid
en
t
d
ir
ec
tio
n
to
s
h
ield
,
f
ie
l
d
m
ea
s
u
r
e
m
en
t
r
eg
io
n
i
n
th
e
s
h
ield
,
Geo
m
etr
ic
co
n
f
i
g
u
r
atio
n
,
a
n
d
s
h
ield
r
a
w
m
ater
ial.
T
h
e
in
cid
e
n
t
elec
tr
o
m
a
g
n
etic
w
av
e
s
i
s
co
n
v
er
te
d
to
ab
s
o
r
p
tio
n
an
d
r
ef
lectio
n
lo
s
s
es.
A
ls
o
,
a
s
m
a
l
l
p
o
r
tio
n
ca
n
b
e
d
ef
in
ed
as
a
co
r
r
ec
tio
n
o
f
r
ef
lectio
n
f
ac
to
r
f
o
r
m
u
l
ti
-
r
ef
lectio
n
m
o
d
eli
n
g
.
I
n
t
h
is
w
a
y
,
SE
ca
n
b
e
f
o
r
m
u
lated
as b
elo
w
:
(
9
)
W
h
er
e
A
,
R
a
n
d
M
ar
e
th
e
ab
s
o
r
p
tio
n
,
r
ef
lectio
n
,
an
d
co
r
r
ec
tio
n
o
f
r
ef
lect
io
n
f
ac
to
r
s
.
√
(
1
0
)
W
h
er
e
t is a
th
ic
k
n
e
s
s
o
f
s
h
iel
d
,
r
a
n
d
r
ar
e
r
elativ
e
p
er
m
e
ab
ilit
y
an
d
r
elati
v
e
co
n
d
u
ct
iv
i
t
y
.
Fo
r
⁄
L
o
w
I
m
p
ed
a
n
ce
lo
o
p
A
n
t
en
n
a:
(
√
√
)
(
1
1
)
Fo
r
⁄
Hig
h
I
m
p
ed
a
n
ce
lo
o
p
A
n
ten
n
a
:
(
√
⁄
)
(
1
2
)
Fo
r
p
lan
w
a
v
e
A
n
ten
n
a:
⁄
(
1
3
)
I
n
all
eq
u
atio
n
s
r
is
t
h
e
d
is
ta
n
ce
b
et
w
ee
n
th
e
s
o
u
r
ce
an
d
t
h
e
Sh
ield
ed
s
u
r
f
ac
e.
M
is
t
h
e
Mu
ltip
le
C
o
r
r
ec
tio
n
r
ef
lectio
n
co
e
f
f
ic
ien
t a
n
d
ca
lc
u
lated
b
y
f
o
llo
w
i
n
g
eq
u
atio
n
:
[
]
(
1
4
)
W
h
er
e
N
is
a
co
m
p
lex
f
u
n
ctio
n
th
at
i
s
o
b
tain
ed
f
r
o
m
b
elo
w
r
elatio
n
:
(
)
√
(
)
[
(
√
)
]
(
1
5
)
m
is
d
ef
in
ed
f
o
r
w
a
v
e
p
late
as
b
elo
w
:
√
⁄
(
1
6
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
8
,
No
.
1
,
Feb
r
u
ar
y
2
0
1
8
:
2
5
9
–
2
7
0
262
2
.3
.
F
ield S
i
m
u
la
t
io
n a
nd
SE
C
a
l
cula
t
io
n
A
s
h
ie
ld
w
ith
6
0
r
ec
tan
g
u
lar
a
p
er
tu
r
e
w
it
h
d
i
m
en
s
io
n
s
o
f
2
*
2
c
m
an
d
to
tal
s
u
r
f
ac
e
ar
ea
o
f
4
8
cm
2
i
s
co
n
s
id
er
ed
in
F
ig
u
r
e
1
.
Fo
r
r
ad
iated
f
ield
,
f
ield
a
n
al
y
s
i
s
is
d
o
n
e
d
u
r
in
g
s
h
ield
i
s
p
lace
d
ab
o
v
e
th
e
g
r
o
u
n
d
.
P
r
esen
tatio
n
o
f
c
u
r
r
en
t
m
o
d
el
f
o
r
f
ield
an
al
y
s
is
u
s
i
n
g
M
OM
tech
n
iq
u
e
is
p
r
o
p
o
s
ed
.
F
ig
u
r
e
1.
A
n
en
clo
s
u
r
e
w
it
h
a
p
er
tu
r
es
Field
eq
u
atio
n
ca
n
b
e
w
r
itte
n
as [
2
7
]
,
[
1
7
]
,
[
3
6
]
:
()
o
i
n
c
o
o
o
i
i
i
t
t
s
t
t
s
t
H
J
H
M
H
J
H
M
H
J
(
17)
o
u
t o
f
th
e
en
clo
s
u
r
e
(
1
9
)
T
h
e
ab
o
v
e
eq
u
atio
n
is
s
o
lv
ed
u
s
i
n
g
MO
M.
B
y
co
n
s
id
er
in
g
b
elo
w
r
elatio
n
:
1
M
N
s
n
n
n
MM
(
2
0
)
0
1
N
oo
nn
n
JJ
(
2
1
)
1
i
N
ii
nn
n
JJ
(
2
2
)
Set o
f
s
o
l
v
in
g
eq
u
atio
n
s
ar
e:
0
11
11
(
)
(
)
(
)
(
)
(
)
m
mi
NN
o
in
c
o
o
o
t
n
t
n
n
t
n
nn
NN
i
i
i
n
t
n
n
t
n
nn
H
J
H
M
H
J
H
M
H
J
(
2
3
)
0
11
(
)
(
)
(
)
0
m
NN
o
i
n
c
o
o
o
t
n
t
n
n
t
n
nn
E
J
E
M
E
J
(
2
4
)
11
(
)
(
)
0
mi
NN
i
i
i
n
t
n
n
t
n
nn
E
M
E
J
(
2
5
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
P
r
esen
ta
tio
n
o
f a
n
A
lg
o
r
ith
m
fo
r
S
ec
u
r
e
Da
ta
Tr
a
n
s
mis
s
io
n
b
a
s
ed
o
n
…. (
A
.
H.
P
o
u
r
s
o
lta
n
Mo
h
a
mma
d
i
)
263
Ho
w
e
v
er
,
s
o
lv
i
n
g
o
f
th
e
ab
o
v
e
eq
u
atio
n
s
i
s
r
elate
d
to
s
o
lv
in
g
o
f
So
m
er
f
i
eld
i
n
te
g
r
al
[
2
7
]
,
[
1
7
]
,
[
3
6
]
:
0
0
(
)
(
)
z
j
k
z
z
k
f
k
e
J
k
d
k
jk
(
2
6
)
Or
s
i
m
p
le
o
f
t
h
e
as
:
0
0
()
z
j
k
r
j
k
z
z
k
e
e
J
k
d
k
r
j
k
(
2
7
)
2
2
2
z
k
k
k
(
2
8
)
Ker
n
el
o
f
So
m
er
f
ield
i
n
te
g
r
al
is
w
r
itten
a
s
:
1
()
iz
M
j
a
k
pi
i
f
k
b
e
(
2
9
)
T
h
e
r
ap
id
in
cr
ea
s
e
o
f
th
e
SE
at
lo
w
f
r
eq
u
en
cie
s
is
q
u
ite
clea
r
,
w
h
ic
h
i
n
d
icate
s
t
h
e
p
r
o
p
o
r
ti
o
n
s
o
f
t
h
e
ap
er
tu
r
e
an
d
w
a
v
elen
g
t
h
.
T
h
er
ef
o
r
e,
to
s
tar
t
o
f
E
MI
p
r
o
b
le
m
e
v
alu
a
tio
n
,
t
h
e
f
ield
s
i
m
u
latio
n
v
ia
MO
M
tech
n
iq
u
e
is
d
o
n
e
t
h
en
SE
g
r
a
p
h
f
o
r
co
n
s
id
er
ed
f
r
eq
u
en
c
y
r
an
g
e
i
s
co
m
p
u
ted
.
T
h
e
r
esu
lts
o
f
SE
ca
lcu
latio
n
v
ia
MO
M
f
ield
s
i
m
u
latio
n
ar
e
s
h
o
w
n
in
F
ig
u
r
e
2
.
(
a)
(
b
)
Fig
u
r
e
2
.
Sh
o
w
r
e
s
u
l
ts
o
f
SE
ca
lcu
latio
n
v
ia
MO
M
f
ield
s
i
m
u
latio
n
f
o
r
f
r
eq
u
e
n
c
y
r
a
n
g
e
0
-
3
GHZ
f
o
r
en
clo
s
u
r
e.
(
a)
W
ith
6
0
ap
e
r
tu
r
es r
esp
ec
tiv
el
y
(
b
)
w
it
h
3
6
ap
er
tu
r
es r
esp
ec
tiv
e
l
y
3.
RO
UT
E
O
P
T
I
M
I
Z
AT
I
O
N
USI
N
G
AH
P
M
E
T
H
O
D
:
Du
r
in
g
E
MI
o
cc
u
r
r
en
ce
,
to
ac
h
iev
e
s
ec
u
r
e
r
o
u
te
o
p
ti
m
iza
tio
n
,
m
ai
n
cr
iter
ia
ca
n
b
e
f
o
u
n
d
as:
E
M
C
,
v
o
ltag
e
d
r
o
p
an
d
p
r
ice.
A
n
al
y
t
ical
Hier
ar
ch
y
P
r
o
ce
s
s
(
A
HP
)
is
a
s
u
itab
le
m
et
h
o
d
f
o
r
d
is
cr
ete
d
ec
is
io
n
m
a
k
i
n
g
[
1
4
-
1
6
]
.
I
n
th
is
m
eth
o
d
a
f
ter
i
d
en
tify
i
n
g
o
f
cr
iter
ia
a
n
d
alter
n
ati
v
es,
p
air
w
i
s
e
co
m
p
ar
i
s
o
n
m
atr
i
x
f
o
r
cr
iter
ia
an
d
alter
n
a
tiv
e
s
r
e
g
ar
d
in
g
to
ea
ch
cr
iter
io
n
is
o
b
tain
ed
v
ia
w
ei
g
h
ti
n
g
p
r
o
ce
s
s
f
r
o
m
f
o
r
m
u
la
o
r
k
n
o
w
led
g
e
o
f
ex
p
er
t
p
er
s
o
n
s
.
T
h
e
n
n
o
r
m
a
liz
ed
eig
en
v
al
u
e
v
ec
to
r
f
o
r
ea
ch
m
atr
i
x
is
co
m
p
u
ted
.
Fo
r
d
ev
iatio
n
f
r
o
m
s
elec
ti
n
g
w
ei
g
h
t,
s
e
n
s
iti
v
it
y
an
a
l
y
s
is
c
an
b
e
d
o
n
e.
T
o
s
o
lv
e
p
r
o
p
o
s
ed
p
r
o
b
lem
,
m
ain
cr
iter
ia
ca
n
b
e
f
o
r
m
u
lated
as
b
elo
w
:
∑
{
(
3
0
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
8
,
No
.
1
,
Feb
r
u
ar
y
2
0
1
8
:
2
5
9
–
2
7
0
264
W
h
er
e,
B
m
ea
n
i,
j
is
an
av
er
ag
e
f
ie
ld
b
et
w
ee
n
t
w
o
co
n
s
id
er
ed
p
o
in
t
i,
j
th
at
i,
j
ar
e
th
e
s
ta
r
t
an
d
en
d
p
o
in
t
o
f
th
e
r
o
u
te.
B
s
h
ield
ed
ca
b
le
is
th
e
a
m
o
u
n
t
o
f
f
ield
r
ed
u
ctio
n
d
u
e
to
s
h
ield
i
n
g
o
f
d
ata
tr
an
s
m
i
s
s
io
n
ca
b
le,
an
d
B
co
n
d
u
it
is
th
e
a
m
o
u
n
t
o
f
f
i
eld
r
ed
u
ctio
n
d
u
e
to
co
n
d
u
it
u
s
ag
e.
C
o
n
d
u
it
u
s
a
g
e
is
s
h
o
w
n
b
y
α
f
ac
to
r
.
C
o
s
t
is
th
e
s
ec
o
n
d
cr
iter
io
n
w
h
ic
h
is
r
elate
d
to
s
ev
er
al
p
ar
a
m
eter
s
s
u
ch
as:
ca
b
le,
s
h
ield
an
d
co
n
d
u
it,
r
o
u
te
len
g
t
h
a
n
d
in
s
ta
llatio
n
co
s
t.
So
,
co
s
t c
a
n
b
e
f
o
r
m
u
lated
as
:
∑
∑
{
(
3
1
)
W
h
er
e
,
ar
e
th
e
co
s
t
o
f
ca
b
le
,
co
n
d
u
it
an
d
s
alar
y
r
esp
ec
ti
v
el
y
.
C
o
ef
f
icie
n
t
i
s
d
ef
in
ed
as
v
ar
iatio
n
o
f
t
h
e
s
ala
r
y
o
f
w
o
r
k
er
w
h
ic
h
is
d
i
f
f
er
in
g
i
n
d
if
f
er
en
t c
o
u
n
tr
y
.
T
h
e
th
ir
d
cr
iter
io
n
,
v
o
ltag
e
d
r
o
p
is
ex
p
r
ess
ed
as:
∑
∑
(
3
2
)
W
h
er
e
t
is
t
h
e
n
u
m
b
er
o
f
v
ar
iet
y
o
f
co
n
d
u
cto
r
s
.
C
o
r
r
ec
t
io
n
f
ac
to
r
,
is
d
ef
i
n
ed
f
o
r
a
m
o
u
n
t
o
f
ca
b
le
s
en
s
iti
v
it
y
to
d
r
o
p
v
o
ltag
e
r
e
g
ar
d
in
g
to
it
s
ap
p
licatio
n
.
V
M
is
a
v
er
ag
e
v
o
lta
g
e
d
r
o
p
f
o
r
ea
ch
s
elec
tiv
e
r
o
u
te.
V% is a
v
o
lta
g
e
d
r
o
p
f
o
r
a
c
o
n
d
u
cto
r
w
i
th
a
cr
o
s
s
s
ec
tio
n
w
it
h
p
ar
am
eter
s
f
o
r
p
o
w
er
f
ac
to
r
co
s
.
3.
1
.
AH
P
I
m
ple
m
ent
a
t
io
n f
o
r
Sa
m
p
le
E
nclo
s
ure
As a
ca
s
e
s
t
u
d
y
,
a
s
a
m
p
le
en
cl
o
s
u
r
e
w
it
h
d
ef
i
n
ed
n
o
d
e
is
co
n
s
id
er
ed
as sh
o
w
n
i
n
Fi
g
u
r
e
3
.
T
o
ev
alu
ate
E
MC,
f
ield
s
i
m
u
l
atio
n
u
s
in
g
MO
M
tec
h
n
iq
u
e
v
ia
FEKO
s
o
f
t
w
ar
e.
Field
d
is
t
r
ib
u
tio
n
i
s
s
h
o
w
n
i
s
Fig
u
r
e
4
.
A
cc
o
r
d
in
g
to
f
ield
s
i
m
u
latio
n
,
f
lu
x
d
en
s
it
y
i
s
o
b
tain
ed
f
o
r
ea
ch
n
o
d
e
T
ab
le
1
.
Fo
r
ca
b
lin
g
r
o
u
te
f
r
o
m
A
to
J
(
1
to
1
2
)
,
t
h
e
m
o
s
t
p
o
p
u
lar
p
r
o
b
ab
ilis
tic
r
o
u
tes
(
ac
co
r
d
in
g
to
o
u
r
k
n
o
w
led
g
e)
is
g
i
v
en
i
n
T
ab
le
2
.
B
ased
o
n
p
r
ev
is
e
f
o
r
m
u
la
f
o
r
th
r
ee
cr
iter
ia
E
MC,
m
o
s
t,
v
o
lta
g
e
d
r
o
p
,
th
e
ca
lcu
latio
n
o
f
in
itial
j
u
d
g
m
e
n
t
f
o
r
ea
ch
p
o
p
u
lar
r
o
u
te
is
d
o
n
e
T
ab
le
3
.
A
ls
o
,
th
e
p
air
w
i
s
e
co
m
p
ar
is
o
n
m
atr
i
x
f
o
r
alter
n
ati
v
es c
a
n
b
e
co
m
p
u
ted
r
eg
ar
d
in
g
to
T
a
b
le
3
.
th
en
f
i
n
al
r
esu
lts
is
ill
u
s
tr
at
ed
in
Fig
u
r
e
5.
I
f
th
e
w
ei
g
h
t
o
f
cr
iter
ia
d
if
f
er
,
th
e
s
en
s
iti
v
it
y
a
n
al
y
s
is
ca
n
b
e
d
o
n
e.
Fig
u
r
e
3
.
Def
i
n
ed
n
o
d
e
f
o
r
s
am
p
le
en
c
lo
s
u
r
e
f
o
r
s
elec
t
io
n
o
f
o
p
ti
m
ized
s
ec
u
r
e
r
o
u
te
Fig
u
r
e
4.
F
ield
s
i
m
u
latio
n
f
o
r
co
n
ce
p
tu
al
en
c
lo
s
u
r
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
P
r
esen
ta
tio
n
o
f a
n
A
lg
o
r
ith
m
fo
r
S
ec
u
r
e
Da
ta
Tr
a
n
s
mis
s
io
n
b
a
s
ed
o
n
…. (
A
.
H.
P
o
u
r
s
o
lta
n
Mo
h
a
mma
d
i
)
265
T
ab
le
3
.
I
n
itial j
u
d
g
m
en
t o
f
ea
ch
p
o
p
u
lar
r
o
u
te
d
u
e
to
ea
ch
cr
iter
ia
Fig
u
r
e
5
.
Fin
al
w
ei
g
h
t if
r
o
u
te
s
P
air
w
is
e
co
m
p
ar
is
o
n
m
atr
i
x
f
o
r
cr
iter
ia
is
w
r
itte
n
as:
[
]
(
3
3
)
4.
AUTHE
NT
I
CA
T
I
O
N
AND
CO
DIN
G
SE
CO
NDAR
Y
SH
I
E
L
DIN
G
A
f
ter
s
ec
u
r
e
r
o
u
te
o
p
ti
m
izati
o
n
an
d
ap
p
r
o
p
r
iate
s
h
ield
in
g
f
o
r
co
n
ce
p
tu
a
l
e
n
clo
s
u
r
e
w
it
h
ap
er
tu
r
es,
s
o
f
t
w
ar
e
p
r
o
tectio
n
is
s
o
cr
u
cial.
Fo
r
t
h
is
ai
m
,
o
n
e
au
th
e
n
ticatio
n
al
g
o
r
ith
m
in
t
h
e
ca
teg
o
r
y
o
f
Me
s
s
a
g
e
Au
t
h
en
t
icatio
n
C
o
d
e
(
MA
C
)
h
as
h
f
u
n
ctio
n
a
n
d
o
n
e
co
d
in
g
alg
o
r
ith
m
b
ased
o
n
co
n
v
o
l
u
ti
o
n
al
co
d
e
o
r
tu
r
b
o
co
d
e
m
u
s
t b
e
e
m
p
lo
y
ed
.
I
n
th
i
s
s
ec
tio
n
SM3
an
d
tu
r
b
o
co
d
e
is
s
t
u
d
ied
an
d
ap
p
lied
f
o
r
o
u
r
ap
p
licatio
n
[
3
5
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
8
,
No
.
1
,
Feb
r
u
ar
y
2
0
1
8
:
2
5
9
–
2
7
0
266
Fig
u
r
e
6
.
SM3
alg
o
r
ith
m
W
ith
(
l<2
6
4
)
b
its
in
p
u
t
m
es
s
ag
e
m
,
SM3
h
as
h
alg
o
r
it
h
m
g
en
er
ate
s
2
5
6
-
b
it
o
u
tp
u
t
h
a
s
h
v
alu
e
b
y
m
es
s
ag
e
s
t
u
f
f
i
n
g
a
n
d
co
m
p
r
ess
io
n
iter
atio
n
[
3
5
]
.
T
h
e
alg
o
r
ith
m
o
f
t
h
i
s
ca
n
s
h
o
w
n
in
F
ig
u
r
e
6.
A
l
s
o
ca
n
s
h
o
w
n
th
e
p
r
o
ce
s
s
o
f
co
m
p
r
es
s
s
io
n
f
u
n
ct
io
n
i
n
Fi
g
u
r
e
7.
Fig
u
r
e
7
.
C
o
m
p
r
ess
s
io
n
f
u
n
cti
o
n
4
.
1
.
T
U
R
B
O C
OD
E
T
o
cr
ea
te
a
s
o
f
t
w
ar
e
s
h
ield
,
a
tu
r
b
o
co
d
e
is
u
s
ed
to
co
d
e
t
h
e
ch
a
n
n
el.
I
n
th
i
s
p
ap
er
,
in
s
tea
d
o
f
u
s
i
n
g
th
e
V
iter
b
i
d
ec
o
d
er
s
,
as
t
h
e
m
o
s
t
f
a
m
o
u
s
d
ec
o
d
er
o
f
co
n
v
o
l
u
tio
n
al
co
d
es
a
n
d
t
u
r
b
o
co
d
e,
T
h
e
MA
P
m
et
h
o
d
,
s
u
c
h
as
B
C
J
R
alg
o
r
it
h
m
,
is
u
s
ed
.
T
h
is
alg
o
r
ith
m
i
s
s
o
f
t
-
in
p
u
t
a
n
d
s
o
f
t
-
o
u
tp
u
t
co
d
in
g
.
in
t
h
is
p
ap
er
,
to
co
m
p
ar
e
a
n
d
ev
al
u
ate
t
h
e
e
f
f
e
c
tiv
e
n
ess
o
f
t
h
e
p
r
o
p
o
s
ed
m
e
t
h
o
d
,
T
h
e
co
m
p
ar
is
o
n
b
et
w
ee
n
th
e
Viter
b
i d
ec
o
d
er
w
it
h
th
e
h
ar
d
-
o
u
tp
u
t
,
s
o
f
t
-
o
u
tp
u
t
an
d
B
C
J
R
alg
o
r
it
h
m
h
as
b
ee
n
p
er
f
o
r
m
ed
an
d
th
e
r
esu
lts
h
a
v
e
b
ee
n
in
v
e
s
ti
g
ated
[2
8
]
,
[
3
7
]
.
T
h
e
co
m
p
le
x
it
y
o
f
a
d
ec
o
d
in
g
m
et
h
o
d
is
o
f
ten
q
u
a
n
ti
f
ied
i
n
ter
m
s
o
f
t
h
e
n
u
m
b
er
o
f
o
p
er
atio
n
s
n
ee
d
ed
f
o
r
d
ec
o
d
in
g
,
w
h
ich
ca
n
b
e
d
escr
ib
ed
in
t
er
m
s
o
f
th
e
n
u
m
b
er
o
f
s
tate
s
o
r
tr
ellis
-
tr
a
n
s
i
tio
n
s
.
T
u
r
b
o
co
d
e
s
ch
e
m
e
is
i
n
tr
o
d
u
ce
d
in
Fig
u
r
e
8
[
2
8
]
,
[
3
7
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
P
r
esen
ta
tio
n
o
f a
n
A
lg
o
r
ith
m
fo
r
S
ec
u
r
e
Da
ta
Tr
a
n
s
mis
s
io
n
b
a
s
ed
o
n
…. (
A
.
H.
P
o
u
r
s
o
lta
n
Mo
h
a
mma
d
i
)
267
Fig
u
r
e
8.
A
B
P
SK
-
m
o
d
u
lated
R
=1
/3
T
C
s
ch
e
m
e
T
o
d
esig
n
co
d
in
g
s
o
f
t
w
ar
e
p
r
o
tectio
n
,
B
C
J
R
al
g
o
r
ith
m
an
d
Viter
b
i
d
ec
o
d
er
ar
e
i
m
p
le
m
e
n
ted
b
y
r
ate
1
/3
.
R
esu
lt
s
i
m
u
lat
io
n
f
o
r
B
E
R
w
it
h
SN
R
0
-
2
0
r
an
g
e
a
n
d
b
y
3
iter
atio
n
is
g
iv
e
n
i
n
Fi
g
u
r
e
9
.
A
ls
o
th
e
r
es
u
lt
s
o
f
b
it e
r
r
o
r
r
ates in
ter
m
s
o
f
S
NR
an
d
f
o
r
h
ar
d
-
o
u
t
put
an
d
s
o
f
t
-
o
u
tp
u
t
Viter
b
i d
ec
o
d
er
is
s
h
o
w
n
in
F
ig
u
r
e
10.
Fig
u
r
e
9
.
B
C
J
R
d
ec
o
d
er
o
p
e
r
a
tio
n
s
i
m
u
latio
n
Fig
u
r
e
1
0
.
Viter
b
i d
ec
o
d
er
o
p
er
atio
n
s
i
m
u
la
tio
n
w
it
h
1
/3
T
C
A
cc
o
r
d
in
g
to
th
e
r
es
u
lt
s
an
d
c
o
m
p
ar
e
t
h
e
m
,
it
is
clea
r
t
h
at
th
e
b
it e
r
r
o
r
r
ate
in
B
C
J
R
alg
o
r
it
h
m
is
les
s
th
an
Viter
b
i.
So
th
is
al
g
o
r
ith
m
w
o
r
k
s
b
etter
as a
s
o
f
t
w
ar
e
p
r
o
tectio
n
.
5.
E
S
E
NT
A
T
I
O
N
O
F
CO
M
P
RE
H
E
NSI
VE
AL
G
O
R
I
T
H
M
F
O
R
E
M
I
M
I
T
I
G
A
T
I
O
N
I
N
E
NC
L
O
SUR
E
S
I
n
th
i
s
s
ec
tio
n
,
a
n
alg
o
r
it
h
m
f
o
r
m
iti
g
atio
n
o
f
E
MI
in
e
n
clo
s
u
r
es
w
it
h
ap
er
tu
r
es
is
p
r
esen
ted
as
p
ass
iv
e
d
e
f
en
s
e
ap
p
r
o
ac
h
.
T
h
is
alg
o
r
it
h
m
i
s
s
h
o
w
n
i
n
F
ig
u
r
e
1
1
.
I
n
th
is
alg
o
r
it
h
m
af
ter
t
h
e
d
ef
in
it
io
n
o
f
E
MI
s
o
u
r
ce
,
E
n
clo
s
u
r
e,
C
av
it
y
an
d
in
tr
o
d
u
ce
e
n
v
ir
o
n
m
en
t,
en
c
lo
s
u
r
e
m
ater
ial,
i
n
p
u
t
p
ar
a
m
e
ter
s
,
s
i
m
u
latio
n
o
f
m
ag
n
etic
f
ield
s
i
s
d
o
n
e
b
y
n
u
m
er
ica
l
s
o
lu
t
io
n
o
f
MO
M.
C
h
a
n
g
in
g
t
h
e
s
p
ec
i
f
icatio
n
o
f
th
e
en
clo
s
u
r
e
an
d
ca
v
it
y
w
i
ll
co
n
ti
n
u
e
u
n
til
t
h
e
d
esire
d
SE
is
r
ea
ch
ed
.
T
h
en
,
b
y
co
n
s
id
er
in
g
th
e
t
h
r
ee
in
d
e
x
es,
E
MC,
v
o
lta
g
e
d
r
o
p
an
d
p
r
ice,
Op
ti
m
izatio
n
o
f
th
e
tr
an
s
m
i
s
s
io
n
p
ath
is
ac
co
m
p
li
s
h
ed
b
y
A
HP
Me
th
o
d
.
Fin
all
y
,
w
e
tr
ied
to
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
8
,
No
.
1
,
Feb
r
u
ar
y
2
0
1
8
:
2
5
9
–
2
7
0
268
u
s
e
co
d
in
g
w
it
h
B
C
J
R
al
g
o
r
ith
m
to
r
ed
u
ce
B
E
R
.
T
h
is
alg
o
r
ith
m
w
i
ll
b
e
co
m
p
leted
b
y
ac
h
iev
in
g
o
p
ti
m
al
r
esu
lt
s
an
d
in
cr
ea
s
in
g
t
h
e
s
ec
u
r
it
y
o
f
d
ata
tr
an
s
m
i
s
s
io
n
.
Fig
u
r
e
1
1
.
A
lg
o
r
it
h
m
f
o
r
m
i
ti
g
atio
n
o
f
E
MI
in
en
clo
s
u
r
es
with
ap
er
tu
r
es i
s
p
r
esen
ted
as p
a
s
s
i
v
e
d
ef
e
n
s
e
ap
p
r
o
ac
h
6.
CO
NCLU
SI
O
N
T
h
is
p
ap
er
p
r
esen
ts
a
co
m
p
er
eh
en
s
i
v
e
alg
o
r
it
h
m
f
o
r
p
ass
i
v
e
d
ef
an
s
o
f
en
clo
s
u
r
e
w
it
h
ap
er
tu
r
e
w
ith
p
r
o
b
a
b
ilit
y
o
f
co
n
f
r
o
n
tatio
n
o
f
E
MI
.
T
h
is
al
g
o
r
ith
m
i
n
clu
d
e
s
s
tr
u
ct
u
r
al
m
e
th
o
d
o
f
f
ield
d
is
tr
ib
u
tio
n
s
i
m
u
lat
io
n
v
ia
MO
M
f
o
r
SE
co
m
p
u
tatio
n
in
th
e
d
esire
d
f
r
eq
u
en
c
y
r
a
n
g
e,
s
ec
u
r
e
r
o
u
te
o
p
tim
izatio
n
u
s
i
n
g
A
HP
m
eth
o
d
as
h
ar
d
w
ar
e
p
o
in
t
o
f
v
ie
w
an
d
T
C
an
d
M
AC
alg
o
r
ith
m
a
s
s
ec
o
n
d
ar
y
s
o
f
t
war
e
p
r
o
tectio
n
.
W
e
in
tr
o
d
u
ce
d
an
ad
v
a
n
ce
d
s
ec
u
r
it
y
al
g
o
r
ith
m
f
o
r
s
o
lv
i
n
g
E
M
I
p
r
o
b
lem
s
an
d
d
ata
tr
an
s
m
is
s
io
n
er
r
o
r
s
.
I
n
th
i
s
m
et
h
o
d
,
f
ir
s
t
l
y
,
th
e
s
h
ield
in
g
co
m
p
u
tatio
n
i
s
p
er
f
o
r
m
ed
to
a
ch
iev
e
t
h
e
d
esire
d
SE
f
ac
to
r
a
n
d
th
e
co
n
tr
o
l
r
o
o
m
is
ex
tr
e
m
el
y
p
r
o
tecte
d
ag
ain
s
t
elec
tr
o
m
ag
n
etic
i
n
ter
f
er
e
n
ce
.
T
h
en
,
in
o
r
d
er
to
ac
h
iev
e
b
etter
s
ec
u
r
it
y
co
n
d
itio
n
s
,
Op
ti
m
izat
io
n
o
f
t
h
e
d
ata
tr
an
s
m
is
s
io
n
p
at
h
is
p
er
f
o
r
m
ed
b
y
A
HP
Me
t
h
o
d
th
e
b
est r
o
u
te
is
s
elec
ted
Evaluation Warning : The document was created with Spire.PDF for Python.