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if
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tech
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u
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A
D
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(
ii)
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d
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iii)
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asis
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e
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r
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k
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(
R
B
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[
9
]
-
[
1
4
]
.
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h
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A
D
AL
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NE
is
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s
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as
a
n
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n
li
n
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in
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in
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co
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ce
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also
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b
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ted
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f
all
i
n
lo
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l
m
i
n
i
m
a
[
9
]
-
[
1
2
]
.
T
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d
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ar
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ti
m
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eq
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ir
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d
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m
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w
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p
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ese
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t [
9
]
-
[
1
2
]
.
T
h
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R
B
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h
as
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ev
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ad
v
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tag
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s
[
1
1
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1
3
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1
5
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s
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ased
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[
6
,
1
1
,
1
3
,
1
5
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ai
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ased
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.
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ter
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N
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ased
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ased
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Ak
ag
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Ka
w
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k
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w
a,
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n
d
Nab
ae
in
1
9
8
4
[
3
]
.
Sin
ce
t
h
en
,
m
a
n
y
s
cie
n
ti
s
ts
an
d
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g
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m
ad
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ib
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its
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it
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ap
p
licatio
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s
to
p
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n
ic
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q
u
ip
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t.
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p
-
q
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[
3
]
b
ased
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a
s
et
o
f
in
s
tan
ta
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u
s
p
o
w
er
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d
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f
in
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in
.
No
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estricti
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ar
e
i
m
p
o
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th
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v
o
lta
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an
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cu
r
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en
t
w
a
v
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o
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m
s
,
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d
it
ca
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b
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ap
p
lied
to
th
r
ee
p
h
ase
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y
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te
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s
w
it
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o
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w
it
h
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t
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e
u
tr
al
w
ir
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f
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th
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ee
p
h
ase
g
en
er
ic
v
o
lta
g
e
an
d
cu
r
r
en
t
w
a
v
ef
o
r
m
s
.
T
h
u
s
,
it
is
v
alid
n
o
t
o
n
l
y
in
t
h
e
s
t
ea
d
y
s
ta
te,
b
u
t
also
in
th
e
tr
a
n
s
ie
n
t
s
tate.
T
h
e
PI
co
n
tr
o
ller
[
5
]
-
[
7
]
r
eq
u
ir
es
p
r
ec
is
e
lin
ea
r
m
at
h
e
m
atic
al
m
o
d
els,
w
h
ic
h
ar
e
d
if
f
icu
l
t
to
o
b
tain
an
d
m
a
y
n
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t
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s
a
tis
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ac
to
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y
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f
o
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m
a
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n
d
er
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am
e
te
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v
ar
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s
,
lo
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d
is
tu
r
b
an
ce
etc.
T
h
e
p
-
q
co
n
tr
o
l
s
tr
ateg
y
is
u
n
ab
le
to
y
ield
an
ad
eq
u
ate
s
o
lu
tio
n
w
h
e
n
s
o
u
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v
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m
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g
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tif
icial
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itio
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.
2.
I
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AN
T
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S AC
T
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V
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AND
R
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in
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ig
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.
Fig
u
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1
.
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0
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p
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(
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d
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v
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[
]
√
[
√
√
√
√
√
]
[
]
(
)
[
]
√
[
√
√
√
√
√
]
[
]
(
)
T
h
e
in
s
ta
n
ta
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v
a
lu
e
s
o
f
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p
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r
ea
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ar
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m
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l
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i
n
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th
e
in
s
ta
n
ta
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s
co
m
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o
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n
ts
o
f
cu
r
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en
ts
a
n
d
v
o
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as
p
er
(
3
)
.
E
ac
h
o
f
th
e
s
e
p
o
w
er
s
h
as a
n
o
s
c
illat
in
g
/
A
C
co
m
p
o
n
en
t a
n
d
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a
v
e
r
ag
e/DC co
m
p
o
n
en
t a
s
s
h
o
w
n
in
(
4
)
,
(
5
)
an
d
(
6
)
.
[
]
√
[
]
[
]
(
)
̅
̃
(
)
̅
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(
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̅
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̅
̃
(
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Her
e,
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AC
co
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p
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Si
m
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̃
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r
r
esp
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r
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s
a
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,
t
h
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en
t
ir
e
r
ea
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p
o
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(
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an
d
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cillati
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t
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i
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cu
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en
ts
in
co
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s
i
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g
(
7
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.
[
]
√
[
]
[
̃
̅
]
(
)
T
h
e
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itio
n
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ag
e
p
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eq
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g
i
v
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8
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as p
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9
)
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̅
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(
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Fin
all
y
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r
ef
er
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ce
f
i
lter
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r
r
en
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in
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f
o
u
r
w
ir
es o
f
V
SI
ca
n
b
e
o
b
tain
ed
b
y
f
o
llo
w
i
n
g
(
1
0
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an
d
(
1
1
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.
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I
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6
670
[
]
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[
√
√
√
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]
[
]
(
)
(
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3.
M
O
DIFIE
D
M
E
T
H
O
D
T
h
is
s
ch
e
m
e
u
s
es
v
o
lta
g
e
h
ar
m
o
n
ic
f
i
lter
in
g
i
n
o
r
d
er
to
m
a
k
e
t
h
e
s
o
u
r
ce
v
o
lta
g
e
s
in
u
s
o
id
al;
b
ef
o
r
e
u
tili
zi
n
g
th
e
s
a
m
e
f
o
r
ca
lcu
lat
io
n
o
f
in
s
tan
ta
n
eo
u
s
ac
tiv
e
a
n
d
r
ea
ctiv
e
p
o
w
er
s
.
C
o
n
tr
o
l
b
lo
ck
d
iag
r
a
m
f
o
r
th
e
en
tire
m
e
th
o
d
o
f
r
ef
er
e
n
ce
cu
r
r
en
t g
e
n
er
atio
n
u
s
i
n
g
m
o
d
if
ie
d
s
ch
e
m
e
i
s
ill
u
s
tr
ated
in
Fig
u
r
e
2
.
Fig
u
r
e
2
.
C
o
n
tr
o
l b
lo
ck
d
iag
r
am
f
o
r
m
o
d
i
f
ied
s
ch
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m
e
[
]
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]
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√
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]
[
]
(
)
[
]
[
]
[
̅
̅
̅
̅
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̅
]
(
)
T
h
is
is
f
o
llo
w
ed
b
y
t
h
e
s
a
m
e
p
r
o
ce
d
u
r
e
o
f
r
e
f
er
en
c
e
co
m
p
e
n
s
atio
n
cu
r
r
e
n
t
e
x
tr
ac
tio
n
as
d
o
n
e
i
n
ca
s
e
o
f
co
n
v
e
n
tio
n
al
m
et
h
o
d
.
4.
RADIA
L
B
ASI
S F
UNCT
I
O
N
NE
T
WO
RK
4
.
1
.
Str
uct
ure
o
f
RB
F
NN
R
B
F is
a
n
e
w
m
e
th
o
d
o
f
d
es
ig
n
in
g
a
n
e
u
r
al
n
et
w
o
r
k
a
s
a
c
u
r
v
e
f
itti
n
g
p
r
o
b
lem
in
a
h
ig
h
d
i
m
en
s
io
n
a
l
s
p
ac
e.
A
cc
o
r
d
in
g
to
t
h
is
,
lear
n
in
g
i
s
eq
u
i
v
ale
n
t
to
f
i
n
d
a
s
u
r
f
ac
e
in
a
m
u
lt
id
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m
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n
s
io
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al
s
p
ac
e
th
at
p
r
o
v
id
es
a
b
est
f
it
to
t
h
e
tr
ain
i
n
g
d
ata.
T
h
e
m
o
ti
v
atio
n
b
eh
i
n
d
R
B
F
is
to
in
ter
p
o
late
t
h
e
te
s
t
d
ata
in
a
m
u
ltid
i
m
e
n
s
io
n
al
s
p
ac
e.
I
n
a
n
eu
r
al
n
et
w
o
r
k
t
h
e
h
id
d
en
u
n
it
s
p
r
o
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id
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s
e
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o
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f
u
n
ctio
n
s
th
a
t
co
n
s
tit
u
te
a
n
ar
b
itra
r
y
„
b
asi
s
‟
f
o
r
th
e
in
p
u
t
p
atter
n
w
h
e
n
th
e
y
ar
e
ex
p
an
d
ed
in
to
th
e
h
id
d
en
s
p
ac
e.
T
h
ese
f
u
n
ctio
n
s
ar
e
ca
lled
R
ad
ial
b
asis
f
u
n
ctio
n
(
R
B
F).
T
h
e
co
n
s
tr
u
ctio
n
o
f
R
B
F
in
v
o
lv
es
th
r
ee
la
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s
w
it
h
en
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d
i
f
f
er
en
t
r
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e
in
p
u
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o
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th
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n
p
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t
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I
1
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I
2
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…
,
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N)
,
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a
s
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r
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n
s
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it
h
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ns
t
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l
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t
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ur
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t
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sa
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f
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c
a
t
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n
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o
p
-
q
s
c
h
e
m
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
PEDS
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SS
N:
2
0
8
8
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694
S
h
u
n
t A
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F
ilter
B
a
s
ed
On
R
a
d
ia
l B
a
s
is
F
u
n
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n
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r
a
l Netw
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s
h
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h
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e
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n
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u
t
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to
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id
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en
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n
d
lin
ea
r
tr
a
n
s
f
o
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b
et
w
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n
h
id
d
en
a
n
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o
u
tp
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t
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s
.
T
h
e
co
n
n
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tio
n
b
et
w
ee
n
th
e
i
n
p
u
t
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h
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ter
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et
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t la
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s
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lled
w
ei
g
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h
e
o
v
er
all
r
esp
o
n
s
e
o
f
th
e
R
B
F n
et
w
o
r
k
is
∑
(
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(
1
4
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h
er
e
„
n
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is
t
h
e
n
u
m
b
er
o
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co
m
p
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ti
n
g
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n
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s
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e
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F
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ter
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e
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th
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t.
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l
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t
h
s
h
a
v
e
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m
e
v
al
u
e.
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h
e
b
asi
s
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u
n
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tio
n
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ar
e
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s
u
all
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s
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a
s
Ga
u
s
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ian
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l
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g
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o
t
h
er
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u
ld
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e
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ad
e
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o
r
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h
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asi
s
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n
Ga
u
s
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o
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t
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l
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y
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u
s
ed
a
s
t
h
e
y
en
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o
y
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e
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er
al
d
esira
b
le
p
r
o
p
er
ties
f
r
o
m
p
o
in
t o
f
v
ie
w
o
f
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ter
p
o
latio
n
a
n
d
r
eg
u
lar
iza
tio
n
t
h
eo
r
y
.
Fig
u
r
e
3
.
B
asic stru
ct
u
r
e
f
o
r
an
ad
ap
tiv
e
R
B
F
n
et
w
o
r
k
Fo
r
R
B
F
n
et
w
o
r
k
d
eter
m
i
n
i
n
g
t
h
e
n
u
m
b
er
a
n
d
lo
ca
tio
n
o
f
ce
n
ter
is
a
d
if
f
icu
lt
p
ar
t
o
f
d
esig
n
.
C
lu
s
ter
i
n
g
tech
n
iq
u
e
s
ar
e
co
m
m
o
n
l
y
u
s
ed
to
r
ed
u
ce
t
h
e
n
u
m
b
er
o
f
ce
n
ter
s
to
a
s
i
n
g
le
p
o
in
t
.
W
h
eth
er
t
h
e
R
B
F
n
et
w
o
r
k
ca
n
r
ea
lize
o
p
ti
m
al
s
o
lu
tio
n
d
ep
en
d
s
cr
u
ciall
y
o
n
w
h
et
h
er
t
h
e
ce
n
ter
s
ca
n
b
e
p
o
s
itio
n
ed
co
r
r
ec
tl
y
o
r
n
o
t.D
u
r
i
n
g
th
e
tr
a
i
n
i
n
g
p
er
io
d
th
e
p
o
s
itio
n
o
f
ea
ch
R
B
F
ce
n
ter
is
d
ef
i
n
ed
b
y
th
e
tr
a
n
s
m
i
s
s
io
n
o
f
k
n
o
w
n
d
ata
s
eq
u
en
ce
.
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h
e
ce
n
ter
p
o
s
itio
n
ca
n
b
e
ap
p
r
o
x
i
m
ated
as
cl
o
s
el
y
as
d
esire
d
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y
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u
s
ter
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g
o
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av
er
ag
i
n
g
th
e
ce
n
ter
s
f
o
u
n
d
d
u
r
in
g
s
e
v
er
al
r
ep
etitio
n
s
.
4
.
2
.
L
ea
rning
Alg
o
r
it
h
m
T
h
e
u
n
it
ce
n
ter
s
s
h
o
u
ld
b
e
p
lace
d
in
t
h
o
s
e
r
eg
io
n
s
o
f
t
h
e
i
n
p
u
t
s
p
ac
e
w
h
er
e
d
ata
i
s
p
r
esen
t.
Un
f
o
r
tu
n
atel
y
,
t
h
is
m
ea
n
s
th
a
t
as
th
e
in
p
u
t
v
ec
to
r
d
i
m
e
n
s
io
n
g
r
o
w
s
t
h
e
n
u
m
b
er
o
f
r
eq
u
ir
ed
u
n
its
‟
i
n
cr
ea
s
e
s
v
er
y
r
ap
id
l
y
.
An
o
th
er
r
ea
s
o
n
f
o
r
u
s
i
n
g
a
lar
g
e
n
u
m
b
er
o
f
l
o
ca
l
u
n
it
s
b
ef
o
r
e
li
n
ea
r
co
m
b
in
atio
n
is
g
i
v
en
b
y
C
o
v
er
‟
s
s
ep
ar
ateb
ilit
y
t
h
eo
r
em
,
w
h
ic
h
s
tate
s
th
at
in
g
en
er
a
l,
a
co
m
p
lex
p
atter
n
class
if
ica
tio
n
p
r
o
b
lem
ca
s
t
in
h
ig
h
d
i
m
en
s
io
n
al
s
p
ac
e
n
o
n
e
lin
ea
r
l
y
i
s
m
o
r
e
li
k
el
y
to
b
e
lin
ea
r
l
y
s
ep
ar
ab
le
th
e
n
i
n
lo
w
d
i
m
en
s
io
n
al
s
p
ac
e.
T
h
is
in
cr
ea
s
e
i
n
th
e
n
u
m
b
er
o
f
u
n
it
s
is
t
h
e
p
r
ice
to
b
e
p
aid
f
o
r
a
s
tr
u
ctu
r
e
w
h
o
s
e
w
e
ig
h
t
c
an
b
e
tr
ain
ed
m
u
c
h
f
aster
t
h
an
i
n
co
n
v
e
n
tio
n
al
t
h
e
m
u
l
tila
y
er
n
e
u
r
al
n
et
w
o
r
k
.
T
h
e
R
B
F
lear
n
i
n
g
alg
o
r
it
h
m
i
s
u
s
u
a
ll
y
d
ec
o
u
p
led
i
n
t
w
o
s
t
ep
s
.
First
cl
u
s
ter
i
n
g
is
p
er
f
o
r
m
ed
o
n
t
h
e
in
p
u
t
v
ec
to
r
s
to
d
eter
m
i
n
e
t
h
e
u
n
it
ce
n
ter
s
an
d
r
ad
ij
an
d
th
en
o
u
tp
u
t
w
ei
g
h
ts
ar
e
ad
j
u
s
ted
[
1
1
,
1
3
,
1
5
]
.
T
h
e
f
ir
s
t
s
tep
is
ac
co
m
p
lis
h
ed
u
s
i
n
g
an
u
n
s
u
p
er
v
is
ed
cl
u
s
ter
i
n
g
al
g
o
r
ith
m
an
d
r
ad
ij
ar
e
ch
o
s
en
w
i
th
k
-
n
ea
r
es
t
n
eig
h
b
o
r
h
eu
r
i
s
tic.
T
h
en
k
ee
p
in
g
t
h
e
ce
n
ter
an
d
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e
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e
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ted
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h
e
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ei
g
h
t
s
m
atr
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iv
e
n
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er
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is
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t
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ai
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ata
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m
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les
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et.
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h
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s
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m
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atio
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o
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u
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ts
o
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t
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o
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e
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n
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e
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al
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d
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e
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w
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t
Evaluation Warning : The document was created with Spire.PDF for Python.
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6
7
–
6
7
6
672
(
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k
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}
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1
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ed
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ate
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ased
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o
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ith
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(
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w
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eg
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h
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p
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ati
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n
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e
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n
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er
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ec
o
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e
ze
r
o
ag
ai
n
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5.
M
E
T
H
O
DO
L
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G
Y
5
.
1
.
R
B
F
N
F
o
r
p
-
q T
heo
ry
T
h
e
th
r
ee
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h
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s
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o
u
r
ce
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o
ltag
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d
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ad
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u
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t
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m
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led
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late
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d
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m
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g
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ar
y
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ase
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o
n
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q
t
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eo
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y
.
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lar
k
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an
s
f
o
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m
at
io
n
i
s
u
s
ed
to
tr
an
s
f
o
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m
t
h
e
v
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lta
g
es
a
n
d
cu
r
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en
ts
f
r
o
m
a
-
b
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c
d
o
m
ain
to
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d
o
m
ai
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as
s
h
o
w
n
in
(
1
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an
d
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2
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.
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h
e
p
an
d
q
ar
e
ca
lcu
lated
f
r
o
m
α
-
β
d
o
m
a
in
v
o
lta
g
es
a
n
d
cu
r
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t
s
as
s
h
o
w
n
in
(
3
)
.
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h
e
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ef
er
en
ce
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r
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t
in
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β
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o
m
ai
n
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n
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e
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lc
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lated
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s
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d
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ce
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r
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t
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n
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o
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ai
n
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n
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e
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alcu
lated
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s
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o
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n
in
(
1
1
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2
.
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uil
din
g
t
he
Dela
y
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uf
f
e
r
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n
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ta
n
tan
eo
u
s
ac
ti
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e
p
o
w
er
Sa
m
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led
at
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n
s
tan
t
r
ate
an
d
p
ass
ed
th
r
o
u
g
h
t
h
e
f
ir
s
t
i
n
p
u
t
f
ir
s
t
o
u
tp
u
t
(
FIFO)
b
u
f
f
er
to
cr
ea
te
a
d
ela
y
ed
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ec
to
r
w
it
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le
n
g
th
N
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h
ic
h
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atch
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e
len
g
t
h
o
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th
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i
n
p
u
t v
ec
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f
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t
a
n
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n
s
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t
t
h
e
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b
u
f
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er
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ill
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n
ta
in
N
d
ata
s
a
m
p
l
es.
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h
e
tr
ain
in
g
d
ata
s
a
m
p
le
s
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o
r
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tr
ain
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g
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ata
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les i
s
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atr
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e
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12
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p
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5
.
3
.
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ind
ing
t
he
Desired
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u
t
pu
t
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r
ea
ch
x
j
f
a
s
t
Fo
u
r
ier
tr
an
s
f
o
r
m
(
F
FT
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is
u
s
ed
to
f
in
d
t
h
e
co
n
s
ta
n
t
(
DC
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ar
t
o
f
t
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e
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t
iv
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w
er
(
w
h
ich
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ep
r
ese
n
ts
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h
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o
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u
e
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th
e
f
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n
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a
m
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tal
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m
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n
en
t
s
)
.
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h
e
co
n
s
ta
n
t
p
ar
t
o
b
tain
ed
f
r
o
m
ap
p
l
y
i
n
g
th
e
F
FT
o
n
x’
s
d
ata
b
ec
o
m
e
th
e
d
esire
d
o
u
tp
u
t
m
e
n
tio
n
e
d
in
[
1
0
]
an
d
g
i
v
en
as
eq
u
a
t
io
n
(
2
0
)
.
s
in
ce
t
h
e
n
u
m
b
er
o
f
th
e
o
u
tp
u
t
n
o
d
es is
o
n
e
o
n
l
y
t
h
e
D
C
co
m
p
o
n
e
n
t o
f
FF
T
is
tak
e
n
w
h
ich
i
s
a
s
ca
la
r
q
u
an
tit
y
.
FF
T
{
}=
(
2
0
)
5
.
4
.
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ra
ini
ng
Da
t
a
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ener
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t
io
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r
th
e
E
x
tr
ac
tio
n
o
f
s
eq
u
en
c
e
cu
r
r
en
t
s
,
th
e
in
p
u
ts
ar
e
th
e
t
h
r
ee
p
h
ase
cu
r
r
en
t
an
d
t
h
e
co
r
r
esp
o
n
d
in
g
o
u
tp
u
ts
.
T
h
e
r
eq
u
ir
ed
i
n
p
u
t
s
an
d
o
u
tp
u
ts
ar
e
g
en
er
ated
i
n
M
A
T
L
A
B
p
r
o
g
r
a
m
.
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n
t
h
e
p
r
o
g
r
am
t
h
e
i
n
p
u
t
cu
r
r
en
ts
ar
e
i
n
itial
ized
to
ze
r
o
,
an
d
i
n
cr
e
m
e
n
ted
i
n
s
tep
s
.
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y
ta
k
in
g
o
n
e
t
h
o
u
s
a
n
d
s
a
m
p
les
i
n
a
c
y
cle
an
d
ar
r
an
g
i
n
g
t
h
e
m
i
n
a
v
ec
to
r
o
f
th
r
ee
r
o
w
s
,
o
u
tp
u
t
s
ar
r
an
g
ed
i
n
r
eq
u
ir
ed
v
ec
to
r
s
ize
d
ep
en
d
s
o
n
th
e
n
u
m
b
er
o
f
th
e
o
u
tp
u
ts
.
T
h
e
in
p
u
t v
ec
to
r
s
ize
an
d
o
u
tp
u
t
v
ec
to
r
s
ize
m
u
s
t h
av
e
t
h
e
s
a
m
e
n
u
m
b
er
o
f
co
l
u
m
n
s
.
T
h
e
tr
ain
in
g
d
ata
is
g
en
er
ated
f
o
r
id
ea
l a
n
d
d
is
to
r
ted
co
n
d
itio
n
s
.
T
h
e
tr
ain
in
g
o
f
t
h
e
n
et
w
o
r
k
w
a
s
d
o
n
e
w
it
h
M
A
T
L
A
B
p
r
o
g
r
a
m
.
F
ir
s
t
cl
u
s
ter
i
n
g
w
as
p
er
f
o
r
m
ed
o
n
th
e
i
n
p
u
t
v
ec
to
r
s
to
d
eter
m
i
n
e
th
e
u
n
i
t
ce
n
ter
s
an
d
r
ad
ii
an
d
th
e
n
o
u
tp
u
t
w
ei
g
h
ts
ar
e
ad
j
u
s
ted
.
T
h
is
w
as
ac
co
m
p
li
s
h
ed
u
s
i
n
g
u
n
s
u
p
er
v
is
ed
clu
s
ter
in
g
alg
o
r
it
h
m
a
n
d
r
a
d
ij
ar
e
ch
o
s
en
w
it
h
K
-
n
ea
r
est
n
ei
g
h
b
o
r
h
eu
r
i
s
tic.
T
h
en
,
k
ee
p
in
g
t
h
e
c
en
ter
an
d
r
ad
ij
f
i
x
ed
th
e
w
ei
g
h
ts
ar
e
co
m
p
u
ted
i
n
clo
s
ed
f
o
r
m
u
s
i
n
g
t
h
e
d
esire
d
o
u
tp
u
t.
T
h
e
tr
ai
n
i
n
g
w
as
d
o
n
e
f
o
r
b
o
th
id
ea
l
a
n
d
d
is
to
r
ted
s
o
u
r
ce
v
o
ltag
e
co
n
d
itio
n
s
.
A
f
ter
tr
ain
i
n
g
t
h
e
ne
t
w
o
r
k
w
a
s
s
i
m
u
lated
w
i
th
t
r
ain
ed
in
p
u
ts
,
I
f
t
h
e
n
e
t
w
o
r
k
er
r
o
r
s
ar
e
w
it
h
in
th
e
p
r
ed
ef
i
n
ed
r
an
g
e,
t
h
en
th
e
ar
ch
itect
u
r
e
is
s
u
itab
le,
o
th
er
w
i
s
e
th
e
n
e
t
w
o
r
k
ar
ch
itect
u
r
e
m
u
s
t
b
e
ch
an
g
ed
.
Af
ter
tr
ain
i
n
g
th
e
ar
ch
itect
u
r
e
is
co
n
v
er
ted
to
s
i
m
u
li
n
k
b
lo
ck
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
PEDS
I
SS
N:
2
0
8
8
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8
694
S
h
u
n
t A
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673
6.
SI
M
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AND
DIS
CUSS
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u
r
e
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u
r
e
4
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h
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ee
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ase
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icate
d
in
T
ab
le
1
.
Dem
o
n
s
tr
atio
n
is
d
o
n
e
u
n
d
er
t
w
o
d
i
f
f
er
en
t
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n
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itio
n
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o
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s
u
p
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l
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o
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e.
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r
id
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l
s
u
p
p
l
y
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m
p
letel
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b
alan
ce
d
an
d
s
i
n
u
s
o
id
al
v
o
ltag
e
o
f
R
MS
is
co
n
s
id
er
e
d
.
Dis
to
r
ted
s
u
p
p
l
y
co
n
d
itio
n
is
cr
ea
ted
b
y
in
co
r
p
o
r
atin
g
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rd
h
ar
m
o
n
ic
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m
p
o
n
e
n
t i
n
to
th
e
s
u
p
p
l
y
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o
l
tag
e.
T
ab
le
1
.
Valu
es o
f
s
y
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te
m
p
ar
a
m
eter
s
u
s
ed
in
s
i
m
u
la
tio
n
P
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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1
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p
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m
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p
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t
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th
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5
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w
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n
f
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m
T
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3
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R
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s
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lies
.
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h
is
p
r
o
v
es
th
at,
R
B
FNN
-
P
Q
s
c
h
em
e
is
t
h
e
b
est
co
n
tr
o
l
s
ch
e
m
e
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e
em
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lo
y
ed
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s
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u
n
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A
P
F
co
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p
ar
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o
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en
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co
n
tr
o
l s
ch
e
m
e
s
.
RE
F
E
R
E
NC
E
S
[1
]
H.
Ak
a
g
i,
"
Ne
w
tren
d
s
in
a
c
ti
v
e
f
il
ters
f
o
r
p
o
w
e
r
c
o
n
d
it
i
o
n
in
g
,
"
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d
u
stry
A
p
p
li
c
a
ti
o
n
s,
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
,
v
o
l
.
3
2
,
p
p
.
1
3
1
2
-
1
3
2
2
,
1
9
9
6
.
[2
]
T
.
C.
G
re
e
n
a
n
d
J.
H.
M
a
rk
s,
"
Co
n
tr
o
l
tec
h
n
iq
u
e
s
f
o
r
a
c
ti
v
e
p
o
w
e
r
f
il
ters
,
"
El
e
c
tric
Po
we
r
Ap
p
li
c
a
ti
o
n
s,
I
EE
Pro
c
e
e
d
in
g
s
,
v
o
l.
1
5
2
,
p
p
.
3
6
9
-
3
8
1
,
2
0
0
5
.
[3
]
H.
Ak
a
g
i,
H.
Ka
n
a
z
a
wa
a
n
d
Y.
Na
b
a
e
,
“
In
sta
n
tan
e
o
u
s
Re
a
c
ti
v
e
P
o
w
e
r
Co
m
p
e
n
sa
to
rs
Co
m
p
ri
sin
g
S
w
it
c
h
in
g
De
v
ice
s
w
it
h
o
u
t
E
n
e
rg
y
S
to
ra
g
e
Co
m
p
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n
ts
,
”
IE
EE
T
ra
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sa
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ti
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s
o
n
In
d
u
stry
Ap
p
li
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t
io
n
s
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v
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l.
I
A
-
2
0
,
n
o
.
3
,
p
p
.
625
-
6
3
0
,
1
9
8
4
.
[4
]
Z.
P
e
n
g
,
e
t
a
l.
,
“
Ha
rm
o
n
ic
a
n
d
Re
a
c
ti
v
e
P
o
w
e
r
Co
m
p
e
n
sa
ti
o
n
B
a
se
d
o
n
t
h
e
G
e
n
e
ra
li
z
e
d
In
sta
n
tan
e
o
u
s
Re
a
c
ti
v
e
P
o
w
e
r
T
h
e
o
r
y
f
o
r
T
h
re
e
-
P
h
a
se
F
o
u
r
-
W
ire
S
y
ste
m
s,”
IEE
E
T
ra
n
s
a
c
ti
o
n
s
o
n
Po
we
r
El
e
c
tro
n
ics
,
v
o
l.
1
3
,
n
o
.
5
,
p
p
.
1
1
7
4
-
1
1
8
1
,
1
9
9
8
.
[5
]
B.
S
in
g
h
,
K.
A
l
-
Ha
d
d
a
d
a
n
d
A
.
Ch
a
n
d
ra
,
"
A
re
v
ie
w
o
f
a
c
ti
v
e
f
il
ters
f
o
r
p
o
w
e
r
q
u
a
li
ty
i
m
p
ro
v
e
m
e
n
t,
"
In
d
u
stria
l
El
e
c
tro
n
ics
,
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
,
v
o
l.
4
6
,
p
p
.
9
6
0
-
9
7
1
,
1
9
9
9
.
[6
]
S
.
M
ik
k
il
i
a
n
d
A
.
K.
P
a
n
d
a
,
“
S
i
m
u
latio
n
a
n
d
RT
DS
H
a
rd
wa
re
I
m
p
le
m
e
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tatio
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f
S
HA
F
f
o
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M
it
ig
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Cu
rre
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t
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r
m
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ics
w
it
h
p
-
q
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d
id
-
i
q
Co
n
tr
o
l
S
trate
g
ies
Us
in
g
P
I
C
o
n
tro
ll
e
r,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
E
n
g
i
n
e
e
rin
g
,
T
e
c
h
n
o
l
o
g
y
&
Ap
p
li
e
d
S
c
ien
c
e
R
e
se
a
rc
h
,
v
o
l.
1
,
n
o
.
3
,
2
0
1
1
,
p
p
.
5
4
-
62.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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8
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8
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u
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2
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7
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7
6
676
[7
]
M
.
S
u
re
sh
,
A
.
K.
P
a
n
d
a
a
n
d
Y.
S
u
re
sh
,
“
F
u
z
z
y
Co
n
tro
ll
e
r
Ba
se
d
3
-
P
h
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se
4
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W
ire
S
h
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t
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c
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F
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it
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Cu
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t
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r
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ics
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p
-
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trate
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,
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u
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En
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P
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g
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,
V
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.
3
,
No
.
1
,
2
0
1
1
,
p
p
.
4
3
-
5
2
.
[8
]
Y.Ku
su
m
a
Lath
a
,
Ch
.
S
a
ib
a
b
u
,
Y.P
.
Ob
u
les
h
”
Co
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tro
l
S
trate
g
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r
T
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re
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P
h
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se
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u
n
t
A
c
ti
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o
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r
F
il
ter
w
it
h
M
in
im
u
m
Cu
rre
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t
M
e
a
su
re
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ts
,
”
In
ter
n
a
ti
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l
J
o
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l
o
f
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c
tr
ica
l
a
n
d
Co
m
p
u
ter
E
n
g
i
n
e
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rin
g
(
IJ
ECE
)
,
v
o
l.
1
,
n
o
.
1
,
p
p
.
3
1
-
4
2
,
2
0
1
1
.
[9
]
S
.
S
.
Ha
y
k
in
1
9
3
1
-
,
Ne
u
ra
l
Ne
t
w
o
rk
s:
A
Co
m
p
re
h
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n
siv
e
F
o
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n
d
a
ti
o
n
/.
U
p
p
e
r
S
a
d
d
le
R
iv
e
r,
N.J.:
P
re
n
t
ice
Ha
ll
,
c
1
9
9
9
.
[1
0
]
J.M
o
o
d
y
,
“
F
a
st l
e
a
rn
in
g
in
n
e
tw
o
rk
s o
f
lo
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ll
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s”
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ra
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C
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ti
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g
, v
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l
.
1
,
p
p
.
2
8
1
,
1
9
8
9
.
[1
1
]
G
.
W
.
Ch
a
n
g
,
Ch
e
n
g
-
I
Ch
e
n
a
n
d
Yu
-
F
e
n
g
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e
n
g
,
"
Ra
d
ial
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sis
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u
n
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ti
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Ba
se
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Ne
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ra
l
Ne
tw
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rk
f
o
r
H
a
r
m
o
n
ic
De
tec
ti
o
n
,
“
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
In
d
u
stri
a
l
El
e
c
tro
n
ics
,
v
o
l.
5
7
,
p
p
.
2
1
7
1
-
2
1
7
9
,
2
0
1
0
.
[1
2
]
A
.
Zo
u
id
i,
F
.
F
n
a
iec
h
,
K.
A
l
-
Ha
d
d
a
d
a
n
d
S
.
Ra
h
m
a
n
i,
"
A
d
a
p
ti
v
e
li
n
e
a
r
c
o
m
b
in
e
rs
a
ro
b
u
st
n
e
u
ra
l
n
e
tw
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rk
tec
h
n
iq
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e
f
o
r
o
n
li
n
e
h
a
rm
o
n
ic
trac
k
in
g
,
"
In
d
u
stria
l
El
e
c
tro
n
ics
,
2
0
0
8
.
IECON
2
0
0
8
.
3
4
t
h
An
n
u
a
l
Co
n
fer
e
n
c
e
o
f
IEE
E
,
p
p
.
5
3
0
-
5
3
4
,
2
0
0
8
.
[1
3
]
R
.
Yo
u
se
f
,
"
T
ra
in
in
g
ra
d
ial
b
a
sis
f
u
n
c
ti
o
n
n
e
tw
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s
u
sin
g
r
e
d
u
c
e
d
se
ts
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s
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e
n
ter
p
o
in
ts,
"
In
ter
n
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ti
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l
J
o
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r
n
a
l
o
f
In
fo
rm
a
t
io
n
T
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n
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y
,
v
o
l.
2
,
p
p
.
2
1
,
2
0
0
5
.
[1
4
]
M
rid
u
l
Jh
a
,
S
.
P
.
Du
b
e
y
,
”
Ne
u
ro
-
F
u
z
z
y
b
a
s
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Co
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tro
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f
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W
ire
S
h
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t
A
c
ti
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P
o
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r
F
il
ter”
,
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
P
o
we
r E
lec
tro
n
ics
a
n
d
Dr
ive
S
y
ste
m (
IJ
PE
DS
)
, v
o
l.
1
,
n
o
.
2
,
p
p
.
1
4
8
~
1
5
5
,
2
0
1
1
.
[1
5
]
G
.
W
.
Ch
a
n
g
,
C.
I.
Ch
e
n
,
Y.
F
.
T
e
n
g
”
A
n
A
p
p
li
c
a
ti
o
n
o
f
Ra
d
ial
Ba
sis
F
u
n
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ti
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Ne
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ra
l
Ne
tw
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rk
F
o
r
Ha
rm
o
n
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De
tec
ti
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n
,
”
in
Pro
c
2
0
0
8
H
a
rm
o
n
i
c
s a
n
d
Qu
a
li
ty o
f
P
o
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r 1
3
t
h
I
n
t
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ti
o
n
a
l
Co
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e
,
p
p
.
1
-
5.
B
I
O
G
RAP
H
I
E
S
O
F
AUTH
O
RS
P
ra
k
a
sh
Ch
a
n
d
ra
T
a
h
re
c
e
iv
e
d
h
is
Ba
c
h
e
lo
rs
in
El
e
c
tri
c
a
l
En
g
in
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rin
g
f
ro
m
In
d
ira
Ga
n
d
h
i
In
stit
u
te
o
f
T
e
c
h
n
o
lo
g
y
,
Od
ish
a
,
In
d
ia
in
2
0
0
2
.
He
c
o
m
p
lete
d
h
is
M
a
ste
rs
i
n
T
e
c
h
n
o
l
o
g
y
(El
e
c
tro
n
ics
sy
ste
m
a
n
d
c
o
m
m
u
n
ica
ti
o
n
)
f
ro
m
Na
ti
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l
In
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T
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h
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g
y
Ro
u
rk
e
la,
Ro
u
rk
e
la,
In
d
ia
in
2
0
0
5
.
He
w
o
rk
e
d
a
sSr.
L
e
c
tu
re
r
a
n
d
A
ss
istan
t
P
ro
f
e
ss
o
r
f
o
r
f
o
u
r
y
e
a
r
in
th
e
El
e
c
tri
c
a
l
a
n
d
E
lec
tro
n
ics
E
n
g
in
e
e
rin
g
De
p
t.
o
f
KIIT
Un
iv
e
rsity
.
Cu
rre
n
tl
y
h
e
is
w
o
rk
in
g
a
s
a
S
r.
T
e
c
h
.
in
P
o
w
e
r
a
n
d
b
l
o
w
in
g
sta
ti
o
n
,
R
o
u
rk
e
la
ste
e
l
p
lan
t,
S
A
IL
.
His
c
u
rre
n
t
re
se
a
rc
h
i
n
tere
sts
in
c
lu
d
e
p
o
w
e
r
c
o
n
v
e
rters
,
a
c
ti
v
e
f
il
terin
g
,
p
o
w
e
r
c
o
n
d
it
io
n
in
g
,
A
C
a
n
d
DC
d
riv
e
s,
n
e
u
ra
l
n
e
tw
o
rk
a
n
d
f
u
z
z
y
lo
g
ic b
a
se
d
c
o
n
tr
o
ll
e
r
d
e
sig
n
f
o
r
El
e
c
tri
c
a
l
d
riv
e
s,
Ge
n
e
ti
c
A
l
g
o
rit
h
m
Op
ti
m
iza
ti
o
n
.
A
n
u
p
Ku
m
a
r
P
a
n
d
a
:
.
He
re
c
e
iv
e
d
th
e
B.
T
e
c
h
in
El
e
c
tri
c
a
l
En
g
in
e
e
rin
g
f
ro
m
S
a
m
b
a
lp
u
r
Un
iv
e
rsit
y
,
In
d
ia
i
n
1
9
8
7
.
He
re
c
e
iv
e
d
th
e
M
.
T
e
c
h
in
P
o
w
e
r
El
e
c
tro
n
ics
a
n
d
Driv
e
s
f
ro
m
In
d
ian
In
stit
u
te
o
f
T
e
c
h
n
o
lo
g
y
,
Kh
a
ra
g
p
u
r,
I
n
d
ia
in
1
9
9
3
a
n
d
P
h
.
D.
in
2
0
0
1
f
ro
m
Utk
a
l
Un
iv
e
rsit
y
.
Jo
in
a
s
a
f
a
c
u
lt
y
in
IG
I
T
,
S
a
ra
n
g
in
1
9
9
0
.
S
e
rv
e
d
th
e
re
f
o
r
e
lev
e
n
y
e
a
rs
a
n
d
th
e
n
jo
i
n
Na
ti
o
n
a
l
In
stit
u
te
o
f
T
e
c
h
n
o
l
o
g
y
,
Ro
u
rk
e
la
in
Ja
n
u
a
r
y
2
0
0
1
a
s
a
n
a
ss
istan
t
p
ro
f
e
ss
o
r
a
n
d
c
u
r
re
n
tl
y
c
o
n
ti
n
u
i
n
g
a
s
a
P
r
o
f
e
ss
o
r
in
t
h
e
De
p
a
rtm
e
n
t
o
f
El
e
c
tri
c
a
l
En
g
in
e
e
rin
g
.
He
h
a
s
p
u
b
li
sh
e
d
o
v
e
r
h
u
n
d
re
d
a
rti
c
les
in
jo
u
r
n
a
ls
a
n
d
c
o
n
f
e
re
n
c
e
s.
He
h
a
s
c
o
m
p
lete
d
tw
o
M
HRD
p
ro
je
c
ts
a
n
d
o
n
e
Na
M
P
ET
p
ro
jec
t.
G
u
id
e
d
e
ig
h
t
P
h
.
D.
sc
h
o
lars
a
n
d
c
u
rre
n
tl
y
g
u
id
in
g
t
w
e
lv
e
sc
h
o
lars
i
n
t
h
e
a
re
a
o
f
P
o
w
e
r
El
e
c
tro
n
ics
&
Driv
e
s.
His
re
se
a
r
c
h
in
tere
st
in
c
lu
d
e
s
De
sig
n
o
f
h
ig
h
f
re
q
u
e
n
c
y
p
o
w
e
r
c
o
n
v
e
rsio
n
c
ircu
it
s
a
n
d
A
p
p
li
c
a
ti
o
n
s
o
f
S
o
f
t
Co
m
p
u
ti
n
g
T
e
c
h
n
iq
u
e
s,
im
p
ro
v
e
m
e
n
t
in
M
u
lt
i
lev
e
l
Co
n
v
e
rter
T
o
p
o
lo
g
y
,
P
o
w
e
r
F
a
c
to
r
Im
p
ro
v
e
m
e
n
t,
P
o
w
e
r
q
u
a
li
ty
I
m
p
ro
v
e
m
e
n
t
in
p
o
w
e
r
s
y
ste
m
a
n
d
El
e
c
tri
c
d
riv
e
s.
Bib
h
u
P
ra
sa
d
P
a
n
ig
ra
h
i
:
He
re
c
e
iv
e
d
th
e
B.
S
c
.
(En
g
in
e
e
rin
g
)
d
e
g
re
e
in
El
e
c
tri
c
a
l
En
g
in
e
e
rin
g
w
it
h
Ho
n
o
rs
f
ro
m
V
S
S
UT
,
Bu
rla
(th
e
n
Un
iv
e
rsity
Co
ll
e
g
e
o
f
E
n
g
in
e
e
rin
g
,
Bu
rla,
S
a
m
b
a
lp
u
r
Un
iv
e
rsit
y
)
Od
ish
a
,
In
d
ia
in
th
e
y
e
a
r
1
9
8
9
a
n
d
th
e
M
.
T
e
c
h
.
(P
o
w
e
r
El
e
c
tro
n
ics
a
n
d
P
o
w
e
r
S
y
st
e
m
s)
d
e
g
re
e
f
ro
m
In
d
ian
In
st
it
u
te
o
f
T
e
c
h
n
o
lo
g
y
,
Bo
m
b
a
y
,
M
u
m
b
a
i,
In
d
ia
in
th
e
y
e
a
r
1
9
9
7
.
He
o
b
tain
e
d
h
is
P
h
.
D.
d
e
g
re
e
i
n
El
e
c
tri
c
a
l
En
g
in
e
e
rin
g
f
ro
m
I
n
d
ian
In
st
it
u
te
o
f
T
e
c
h
n
o
l
o
g
y
,
Kh
a
ra
g
p
u
r,
In
d
ia
in
th
e
y
e
a
r
2
0
0
7
.
He
h
a
s
w
o
rk
e
d
a
s
A
ss
istan
t
En
g
in
e
e
r
in
F
e
rti
li
z
e
r
Co
r
p
o
ra
ti
o
n
o
f
In
d
ia
L
im
it
e
d
f
o
r
tw
o
y
e
a
rs
f
ro
m
1
9
8
9
t
o
1
9
9
1
.
A
f
t
e
r
sp
e
n
d
in
g
f
e
w
m
o
n
th
s
a
s
Ex
e
c
u
ti
v
e
T
ra
in
e
e
in
Nu
c
lea
r
P
o
w
e
r
Co
rp
o
r
a
ti
o
n
o
f
In
d
ia
L
im
it
e
d
,
h
e
sw
it
c
h
e
d
o
v
e
r
t
o
a
c
a
d
e
m
ics
a
n
d
jo
in
e
d
El
e
c
tri
c
a
l
En
g
in
e
e
rin
g
De
p
a
rt
m
e
n
t
o
f
In
d
ira
G
a
n
d
h
i
In
stit
u
te
o
f
Tec
h
n
o
lo
g
y
(I
G
I
T
),
S
a
ra
n
g
,
Dh
e
n
k
a
n
a
l,
Oriss
a
(In
d
ia)
a
s
a
Lec
tu
re
r
in
A
p
ril
1
9
9
2
.
I
n
A
p
ril
1
9
9
7
,
h
e
b
e
c
a
m
e
S
e
n
io
r
L
e
c
tu
re
r
in
t
h
e
sa
m
e
d
e
p
a
rtm
e
n
t
a
n
d
in
A
p
ril
2
0
0
2
,
h
e
w
a
s
p
ro
m
o
ted
to
L
e
c
tu
re
r
(S
e
lec
ti
o
n
G
ra
d
e
)/
A
s
sista
n
t
P
ro
f
e
ss
o
r.
In
M
a
rc
h
2
0
0
9
,
h
e
j
o
in
e
d
a
s
P
ro
f
e
s
so
r
in
t
h
e
sa
m
e
El
e
c
tri
c
a
l
En
g
in
e
e
rin
g
De
p
a
rtm
e
n
t
o
f
I
G
I
T
,
S
a
ra
n
g
a
n
d
h
e
a
d
in
g
th
e
d
e
p
a
rtm
e
n
t
sin
c
e
th
e
n
.
He
h
a
s p
u
b
l
ish
e
d
f
o
rt
y
n
in
e
re
se
a
rc
h
p
a
p
e
rs
in
v
a
rio
u
s
j
o
u
r
n
a
ls
a
n
d
c
o
n
f
e
re
n
c
e
p
ro
c
e
e
d
in
g
s
b
o
t
h
a
t
n
a
ti
o
n
a
l
a
n
d
in
tern
a
ti
o
n
a
l
lev
e
l.
His
re
se
a
rc
h
in
tere
st
in
c
lu
d
e
s
El
e
c
tri
c
a
l
M
a
c
h
in
e
s,
P
o
w
e
r
El
e
c
tro
n
ics
a
n
d
P
o
w
e
r
S
y
ste
m
.
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