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)
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268
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N:
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v
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pp
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268
J
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h
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ra
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teristics
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o
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e
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s
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o
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o
n
d
it
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d
q
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li
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ste
m
,
i.
e
.
,
it
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n
jec
ts
e
n
e
rg
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n
to
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tern
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d
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ri
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g
v
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lt
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,
e
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e
r
g
y
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d
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e
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sa
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o
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t
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e
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o
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n
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ted
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ro
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VS
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In
t
h
is
st
u
d
y
two
d
iffere
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t
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o
n
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ro
ll
e
rs
a
re
e
m
p
lo
y
e
d
b
a
se
d
o
n
a
lea
rn
i
n
g
b
a
se
d
o
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ti
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ize
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a
l
g
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rit
h
m
.
Th
e
sim
u
latio
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re
su
lt
s
a
re
sh
o
wn
u
sin
g
two
d
iffe
re
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t
c
o
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e
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d
t
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f
th
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o
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o
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ll
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is f
o
u
n
d
to
b
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b
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tt
e
r
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n
e
.
K
ey
w
o
r
d
s
:
Dy
n
am
ic
v
o
ltag
e
r
esto
r
er
Har
m
o
n
ics esti
m
atio
n
Po
wer
q
u
ality
Vo
ltag
e
s
o
u
r
ce
in
v
er
ter
Vo
ltag
e
s
well
T
h
is i
s
a
n
o
p
e
n
a
c
c
e
ss
a
rticle
u
n
d
e
r th
e
CC B
Y
-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
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A
uth
o
r
:
Su
r
en
d
er
R
ed
d
y
Salk
u
ti
Dep
ar
tm
en
t o
f
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ailr
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d
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lectr
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E
n
g
in
ee
r
in
g
,
W
o
o
s
o
n
g
Un
iv
er
s
ity
1
7
-
2
,
J
ay
an
g
-
D
o
n
g
,
Do
n
g
-
Gu
,
Dae
jeo
n
-
3
4
6
0
6
,
R
ep
u
b
lic
o
f
Ko
r
ea
E
m
ail: su
r
en
d
er
@
wsu
.
ac
.
k
r
1.
I
NT
RO
D
UCT
I
O
N
B
ec
au
s
e
o
f
th
e
wid
esp
r
ea
d
u
s
ag
e
o
f
n
o
n
-
lin
ea
r
lo
ad
s
b
y
h
o
m
e
an
d
in
d
u
s
tr
ial
cu
s
to
m
e
r
s
,
im
p
r
o
v
in
g
p
o
wer
q
u
ality
(
PQ
)
h
as
b
ec
o
m
e
an
ess
en
tial
co
n
ce
r
n
in
r
e
ce
n
t
y
ea
r
s
[
1
]
.
Vo
ltag
e
q
u
ality
p
r
o
b
lem
s
[
2
]
,
s
u
c
h
as
v
o
ltag
e
s
ag
s
o
r
s
wells,
ar
e
th
e
m
o
s
t
co
m
m
o
n
i
n
th
e
n
etw
o
r
k
.
T
h
ese
v
o
ltag
er
elate
d
is
s
u
es
ar
e
ca
u
s
ed
b
y
a
v
ar
iety
o
f
s
o
u
r
ce
s
,
in
clu
d
i
n
g
tr
an
s
m
is
s
io
n
s
y
s
tem
d
is
tu
r
b
an
c
es,
d
ef
ec
ts
in
n
ea
r
b
y
f
ee
d
er
s
an
d
f
u
s
es,
an
d
cir
cu
it
b
r
ea
k
er
tr
i
p
s
.
Har
m
o
n
i
c
co
m
p
o
n
en
ts
in
s
u
p
p
ly
v
o
ltag
es
o
cc
u
r
as
a
r
esu
lt
o
f
u
n
c
o
m
p
en
s
ated
n
o
n
lin
ea
r
lo
ad
s
in
th
e
u
tili
ty
s
y
s
tem
.
Var
io
u
s
g
ad
g
ets
h
av
e
b
ee
n
d
ev
elo
p
ed
to
ad
d
r
ess
th
ese
ch
allen
g
es
in
o
r
d
er
to
ad
v
an
ce
PQ.
C
o
n
v
en
tio
n
ally
,
p
ass
iv
e
f
ilter
s
[
3
]
-
[
5
]
wer
e
u
ti
lis
ed
,
h
o
wev
er
d
u
e
to
v
ar
io
u
s
s
h
o
r
tco
m
in
g
s
[
6
]
,
th
ey
h
av
e
b
ee
n
r
ep
lace
d
b
y
ac
tiv
e
f
ilter
s
.
A
s
er
ies
co
m
p
en
s
ato
r
[
7
]
-
[
9
]
wh
ich
is
also
ca
lled
as
d
y
n
am
ic
v
o
ltag
e
r
esto
r
e
r
(
DVR)
is
p
r
i
m
ar
ily
u
s
ed
to
im
p
r
o
v
e
PQ
b
y
r
ed
u
cin
g
v
o
ltag
e
s
ag
an
d
s
well
co
n
d
itio
n
s
.
W
h
e
n
co
m
p
ar
ed
to
o
th
er
cu
s
to
m
-
p
o
wer
d
ev
ices
in
ter
m
s
o
f
tech
n
o
lo
g
icala
d
v
an
ce
m
en
t
an
d
ec
o
n
o
m
ic
v
alu
e,
t
h
e
DVR
is
th
e
m
o
s
t
ef
f
ec
tiv
e
i
n
u
tili
ty
s
y
s
tem
s
f
o
r
im
p
r
o
v
in
g
v
o
ltag
e
q
u
ality
[
1
0
]
-
[
1
2
]
.
T
o
im
p
r
o
v
e
v
o
ltag
e
q
u
ality
,
th
e
DVR
is
im
p
lem
en
ted
b
y
in
f
u
s
in
g
v
o
ltag
es
in
s
er
ies
with
th
e
th
r
ee
-
p
h
ase
d
is
tr
ib
u
tio
n
s
y
s
tem
,
r
esu
ltin
g
in
v
o
ltag
em
a
g
n
itu
d
e
an
d
p
h
ase
s
h
if
t.
T
h
e
n
eg
ativ
e
ef
f
ec
ts
o
f
v
o
ltag
e
q
u
ality
d
is
r
u
p
tio
n
s
s
u
ch
as
v
o
ltag
esag
an
d
v
o
ltag
e
s
well
ar
e
m
i
n
im
is
ed
b
y
th
ese
d
ev
ic
es.
Du
r
in
g
a
u
tili
ty
s
y
s
tem
o
u
tag
e,
th
e
DVR
ca
n
h
elp
m
ain
tain
v
o
lta
g
e
at
a
s
p
ec
if
ic
lev
el
b
y
ad
d
in
g
a
co
m
p
en
s
atin
g
v
o
ltag
e
[
1
3
]
in
s
er
i
es
with
th
e
v
o
ltag
e
ac
r
o
s
s
th
e
lo
ad
.
T
h
e
d
em
an
d
ac
r
o
s
s
th
e
lo
ad
ca
n
b
e
m
ain
tain
ed
b
y
r
eg
u
lat
in
g
th
e
p
o
wer
s
u
p
p
ly
f
r
o
m
a
n
en
er
g
y
s
to
r
ag
e
d
ev
ice.
W
ith
th
e
im
p
ac
t
o
f
v
o
ltag
e
s
ag
,
th
e
en
e
r
g
y
s
to
r
ag
e
d
e
v
ice
r
ec
eiv
es
p
o
wer
f
r
o
m
th
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u
tili
ty
s
y
s
tem
v
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th
e
lin
k
ed
co
n
v
er
ter
s
.
Alter
n
ativ
ely
,
h
i
g
h
v
o
ltag
e
s
well
m
ig
h
t
b
e
h
ar
m
f
u
l
to
e
q
u
ip
m
e
n
t.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
I
SS
N:
2252
-
8
7
7
6
Tea
ch
in
g
lea
r
n
in
g
b
a
s
ed
o
p
ti
miz
a
tio
n
a
lg
o
r
ith
m
fo
r
effec
tive
a
n
a
lysi
s
o
f
…
(
S
o
u
mya
R
a
n
j
a
n
Da
s
)
269
Pra
ctica
lly
,
b
o
th
v
o
l
tag
e
s
ag
an
d
s
well
o
cc
u
r
co
n
cu
r
r
en
tl
y
.
Fu
r
th
er
m
o
r
e,
r
ea
ctiv
e
p
o
w
er
im
b
alan
ce
s
will
co
n
s
eq
u
en
ce
in
o
v
e
r
v
o
ltag
e
o
r
s
well
in
t
h
e
u
tili
ty
n
etwo
r
k
.
E
x
tr
em
e
an
d
co
n
tin
u
o
u
s
o
v
e
r
v
o
ltag
e
m
ay
ca
u
s
e
h
ar
m
to
th
e
s
to
r
ag
e
d
ev
ice.
T
h
is
p
ap
er
p
r
o
p
o
s
es
a
n
o
v
el
co
n
tr
o
l
m
ec
h
an
is
m
f
o
r
g
en
er
atin
g
r
ef
e
r
en
ce
c
u
r
r
e
n
t
th
at
d
o
es
n
o
t
r
eq
u
i
r
e
r
ea
ctiv
e
v
o
lt
-
am
p
er
es
[
1
4
]
,
[
1
5
]
.
T
o
co
n
s
tr
u
ct
a
s
ig
n
al,
an
ac
tu
al
ca
lcu
latio
n
o
f
its
am
p
litu
d
e,
f
r
eq
u
en
cy
,
an
d
p
h
ase
is
n
ec
ess
ar
y
.
T
h
e
cu
r
r
en
t
ap
p
r
o
ac
h
is
em
p
lo
y
ed
t
o
p
r
o
d
u
ce
th
e
p
er
u
n
it
co
m
p
o
n
en
t
o
f
th
e
r
ef
er
en
ce
w
av
ef
o
r
m
f
o
r
th
e
HSAPF
f
r
o
m
th
e
h
ar
m
o
n
ic
co
n
ten
t
s
ig
n
al.
C
o
m
p
ar
ed
to
o
th
er
co
n
v
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tio
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al
m
eth
o
d
s
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lik
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o
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t
h
o
g
o
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al
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m
p
o
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en
t
f
ilter
an
d
least
s
q
u
ar
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er
r
o
r
alg
o
r
ith
m
s
,
Kalm
an
-
f
ilter
(
KF
)
is
k
n
o
wn
to
b
e
m
o
r
e
r
esis
tan
t
in
n
o
is
y
s
itu
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s
;
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u
s
,
in
th
e
p
r
o
p
o
s
ed
s
tu
d
y
,
KF
is
u
tili
s
ed
to
esti
m
ate
p
er
u
n
it c
u
r
r
e
n
t r
ef
er
e
n
ce
[
1
6
]
.
T
h
e
s
tan
d
ar
d
p
r
o
p
o
r
tio
n
al
-
in
t
eg
r
al
-
d
er
iv
ativ
e
(
PID
)
co
n
tr
o
l
ler
(
PID
)
is
less
ex
p
en
s
iv
e,
ea
s
y
to
tu
n
e,
an
d
b
u
t
f
o
r
co
m
p
le
x
ca
s
es,
PID
is
n
o
t
s
u
itab
le
to
s
u
p
p
l
y
ef
f
ec
tiv
e
s
o
lu
tio
n
s
.
I
n
s
u
ch
c
ases
,
a
f
u
zz
y
lo
g
ic
co
n
tr
o
lle
r
(
FLC)
b
ased
PID
i
s
u
tili
s
ed
b
ec
au
s
e
it
im
p
r
o
v
e
s
p
er
f
o
r
m
an
ce
b
y
u
p
d
atin
g
t
h
e
PID
c
o
n
tr
o
ller
'
s
p
ar
am
eter
s
o
n
a
f
r
eq
u
e
n
t
b
asis
[
1
7
]
-
[
2
0
]
.
A
g
ain
,
o
n
e
o
f
th
e
k
ey
b
en
e
f
its
o
f
ad
o
p
tin
g
a
f
u
zz
y
-
b
ased
PID
is
th
at
n
o
m
at
h
em
atica
l
f
o
r
m
u
latio
n
is
r
eq
u
i
r
ed
to
s
elec
t
th
e
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
o
r
t
h
e
r
u
l
e
b
ase.
Gen
e
r
ally
,
ce
r
tain
ex
p
er
ien
tial
g
u
id
elin
e
s
ar
e
em
p
lo
y
ed
to
ch
o
o
s
e
th
e
f
u
zz
y
co
n
s
tr
ain
ts
,
wh
ich
m
ig
h
t
n
o
t
b
e
th
e
b
est
v
alu
es.
As
a
r
esu
lt
o
f
th
e
i
n
f
o
r
m
atio
n
p
r
esen
t
ed
a
b
o
v
e,
th
e
teac
h
in
g
lear
n
in
g
b
ased
o
p
t
im
izatio
n
alg
o
r
ith
m
(
T
L
B
OA)
tu
n
es
th
e
co
n
tr
o
ller
(
PID
an
d
f
u
zz
y
PID
)
s
ca
lin
g
f
ac
to
r
s
to
im
p
r
o
v
e
c
o
n
tr
o
ller
e
f
f
icien
cy
[
2
1
]
-
[
2
3
]
.
T
h
er
ef
o
r
e,
in
t
h
is
s
tu
d
y
,
T
L
B
O
-
f
u
zz
y
PID
(
T
L
B
OFPID)
o
r
T
L
B
O
-
co
n
v
en
tio
n
al
PID
(
T
L
B
OPI
D)
is
u
s
ed
to
ex
tr
ac
t
th
e
r
e
f
er
en
ce
m
ax
im
u
m
cu
r
r
e
n
t
as
well
as
to
m
an
a
g
e
th
e
v
o
ltag
e
o
f
th
e
i
n
v
er
ter
'
s
DC
lin
k
.
Var
io
u
s
in
s
tan
ce
s
ar
e
s
im
u
lated
to
in
v
esti
g
ate
th
e
co
m
p
en
s
ato
r
y
ca
p
ac
ities
o
f
b
o
th
T
L
B
OFPID
an
d
T
L
B
OPI
D
-
b
ased
HSAPF
[
2
4
]
,
[
2
5
]
.
2.
SYST
E
M
ARCH
I
T
E
CT
URE
Fig
u
r
e
1
d
e
p
icts
th
e
co
n
f
i
g
u
r
atio
n
o
f
th
e
p
r
o
p
o
s
ed
s
y
s
tem
.
A
th
r
ee
-
p
h
ase
s
o
u
r
ce
is
ass
o
ciate
d
to
a
th
r
ee
-
p
h
ase
n
o
n
-
lin
ea
r
lo
ad
.
T
h
e
n
o
n
-
lin
ea
r
lo
a
d
is
d
esig
n
e
d
to
h
an
d
le
b
o
t
h
b
alan
ce
d
an
d
u
n
b
ala
n
ce
d
lo
a
d
s
.
T
ab
le
1
co
n
tain
s
p
ar
am
eter
v
alu
es
f
o
r
b
o
th
b
alan
ce
d
an
d
u
n
b
alan
ce
d
lo
ad
s
.
I
n
t
h
is
p
o
wer
s
y
s
tem
co
n
f
ig
u
r
atio
n
,
a
DVR
is
f
ed
at
th
e
p
o
in
t
o
f
co
m
m
o
n
c
o
u
p
lin
g
(
PC
C
)
,
wh
er
e
it
co
m
p
e
n
s
ates
f
o
r
th
e
lo
ad
v
o
ltag
e,
r
ed
u
ce
s
h
ar
m
o
n
ics
[
2
5
]
,
an
d
m
ain
tain
s
th
e
DC
lin
k
v
o
ltag
e.
Fo
r
h
ar
m
o
n
ics
esti
m
atio
n
,
two
ad
ap
tiv
e
co
n
tr
o
l a
p
p
r
o
ac
h
es,
T
L
B
OPI
D
an
d
T
L
B
OFPID
ar
e
u
s
ed
.
Fig
u
r
e
1
.
C
o
n
f
ig
u
r
atio
n
o
f
th
e
p
r
o
p
o
s
ed
m
o
d
el
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
7
7
6
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
,
Vo
l.
1
4
,
No
.
1
,
A
p
r
il
20
2
5
:
268
-
2
7
5
270
T
ab
le
1
.
Sy
s
tem
-
p
a
r
am
eter
s
P
a
r
a
me
t
e
r
V
a
l
u
e
s
S
u
p
p
l
y
v
o
l
t
a
g
e
2
2
0
V
F
r
e
q
u
e
n
c
y
5
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H
z
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u
p
p
l
y
r
e
si
s
t
a
n
c
e
a
n
d
i
n
d
u
c
t
a
n
c
e
R
s =
1
Ω
a
n
d
Ls
=
2
0
mH
N
o
n
-
l
i
n
e
a
r
l
o
a
d
s
(
b
a
l
a
n
c
e
d
a
n
d
u
n
b
a
l
a
n
c
e
d
2
0
K
w
R
=
1
0
Ω
a
n
d
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5
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mH
S
a
mp
l
i
n
g
p
e
r
i
o
d
50
µs
D
c
l
i
n
k
v
o
l
t
a
g
e
2
0
0
V
R
i
p
p
l
e
f
i
l
t
e
r
R
f
=
5
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,
C
f
=
1
0
µ
F
,
P
I
g
a
i
n
K
p
=
0
.
2
5
,
K
i
=
0
.
1
3.
CO
NT
RO
L
L
E
R
S
T
RAT
E
G
Y
I
n
th
is
s
ec
tio
n
,
th
e
r
ef
e
r
en
ce
cu
r
r
e
n
t
g
en
er
atio
n
u
s
in
g
KF
an
d
T
L
B
O
with
PID
a
n
d
FP
I
D
ar
e
d
is
cu
s
s
ed
in
b
r
ief
.
T
L
B
OA
u
s
es
a
r
ev
o
lu
tio
n
ar
y
k
n
o
wled
g
e
-
b
ased
tech
n
iq
u
e
in
wh
ich
t
h
e
in
s
tr
u
cto
r
f
o
r
th
e
f
o
llo
win
g
iter
atio
n
is
ch
o
s
en
f
r
o
m
am
o
n
g
th
e
p
r
ev
i
o
u
s
b
est
s
t
u
d
en
ts
[
2
6
]
.
I
n
o
r
d
er
to
ch
a
n
g
e
th
e
co
n
s
id
er
ed
p
u
p
il'
s
k
n
o
wled
g
e,
th
e
o
th
er
p
u
p
ils
an
d
th
eir
p
ee
r
s
m
u
s
t
th
e
n
p
ick
u
p
k
n
o
wled
g
e
f
r
o
m
th
a
t
s
tu
d
en
t
an
d
s
h
ar
e
it
with
o
th
er
s
.
T
h
e
av
o
id
a
n
ce
o
f
ea
r
ly
o
r
u
n
e
x
p
ec
ted
co
n
v
er
g
en
ce
an
d
th
e
p
r
eser
v
atio
n
o
f
m
u
ltip
licity
h
av
e
m
ad
e
o
p
tim
is
atio
n
a
p
o
p
u
lar
f
ield
o
f
s
tu
d
y
f
o
r
m
an
y
s
ch
o
lar
s
in
r
ec
en
t
y
ea
r
s
.
T
h
e
two
m
ain
s
tag
es
in
ev
o
lu
tio
n
ar
y
p
r
o
ce
s
s
es
ar
e
cr
o
s
s
o
v
er
an
d
m
u
tatio
n
,
wh
ich
ar
e
n
o
t
estab
lis
h
ed
in
T
L
B
OA
[
2
7
]
.
T
ea
ch
i
n
g
lear
n
in
g
b
eh
a
v
io
u
r
is
th
e
d
r
i
v
in
g
f
o
r
ce
b
eh
i
n
d
T
L
B
OA
b
ec
au
s
e
it
s
h
ar
es
m
a
n
y
c
h
ar
ac
ter
is
tics
with
o
th
er
ev
o
lu
tio
n
ar
y
s
tr
ateg
ies.
E
v
er
y
m
em
b
er
o
f
T
L
B
OA
h
as
an
ad
ju
s
tab
le
s
ea
r
ch
m
eth
o
d
b
ased
o
n
its
o
wn
lear
n
in
g
.
3
.
1
.
I
nitia
liza
t
io
n
T
h
e
in
itial
p
o
p
u
latio
n
s
ize
i.e
.
,
[
n
×m
]
o
s
c
r
ea
ted
in
th
is
s
tep
,
wh
er
e
th
e
n
u
m
b
e
r
s
o
f
le
ar
n
er
s
ar
e
r
ep
r
esen
ted
b
y
‘
n
’
wh
ich
is
th
e
s
ize
o
f
p
o
p
u
latio
n
an
d
th
e
p
r
o
b
lem
d
im
en
s
io
n
is
‘
m
’
i.e
.
th
e
s
u
b
jects
g
iv
en
.
I
n
th
e
in
itial
p
o
p
u
latio
n
m
atr
i
x
,
th
e
m
a
r
k
o
b
tain
e
d
b
y
v
a
r
io
u
s
lear
n
er
s
in
th
e
jth
s
u
b
ject
is
r
ep
r
esen
ted
in
th
e
jth
co
lu
m
n
.
=
[
1,1
1,2
…
1,m
2,1
2,2
…
2,m
.
.
.
.
.
.
n
,1
n
,2
…
n
,m
]
(
1
)
3
.
2
.
T
ea
ching
p
ha
s
e
T
h
e
m
ea
n
r
esu
lt
o
f
th
e
class
h
as
to
b
e
im
p
r
o
v
ed
b
y
th
e
te
ac
h
er
in
th
e
ass
ig
n
ed
s
u
b
ject
in
teac
h
er
p
h
ase
.
I
n
th
is
ar
ticle,
j
,k
,I
is
r
ep
r
esen
ted
as
th
e
an
y
v
alu
e
o
f
s
o
lu
tio
n
wh
er
e
j
(
j=1
,
2
,
…,
m
)
is
th
e
s
u
b
ject
tak
en
b
y
th
e
lear
n
e
r
,
k
(
k
=1
,
2
,
…,
n
)
is
th
e
lear
n
er
its
elf
an
d
I
r
e
p
r
e
s
en
ts
th
e
i
th
iter
atio
n
.
As
th
e
l
ea
r
n
er
is
ta
u
g
h
t
b
y
th
e
teac
h
er
an
d
is
ass
u
m
ed
to
b
e
th
e
b
est
s
o
lu
tio
n
j
,k
b
e
st
,I
wh
ich
will
b
e
th
e
teac
h
er
in
th
e
n
ex
t
iter
atio
n
.
T
h
e
av
er
ag
e
m
ar
k
s
s
ec
u
r
ed
b
y
th
e
lear
n
er
in
ea
ch
s
u
b
ject
wh
i
ch
is
th
e
av
er
a
g
e
v
alu
e
o
f
ea
ch
co
lu
m
n
as
g
iv
e
n
b
elo
w
wh
er
e
is
th
e
m
ar
k
o
b
ta
in
ed
b
y
th
e
lear
n
e
r
in
th
e
j
th
s
u
b
ject.
j
,i
=
[
1
,
2
,
…
,
]
(
2
)
T
h
e
d
if
f
er
e
n
ce
b
etwe
en
th
e
r
e
s
u
lts
o
b
tain
ed
b
y
th
e
c
o
r
r
esp
o
n
d
in
g
teac
h
e
r
with
th
e
m
ea
n
r
esu
lt
in
th
at
s
u
b
ject
tau
g
h
t
b
y
th
e
s
am
e
teac
h
er
is
wr
itten
as:
Diff
e
r
e
n
c
e
_M
e
a
n
j
,k
,i
=
j
,i
(
j
,k
b
e
st
,i
−
j
,i
)
(
3
)
W
h
er
e
j
,I
a
r
an
d
o
m
n
u
m
b
er
is
v
ar
y
b
etwe
en
0
to
1
a
n
d
is
th
e
teac
h
in
g
f
ac
to
r
tak
en
1
o
r
2
.
=
r
ound
[
1
+
r
a
n
d
(
0,1
)
]
(
4
)
No
w,
th
e
ex
is
tin
g
p
o
p
u
latio
n
is
to
b
e
u
p
d
ated
is
g
iv
en
as:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
I
SS
N:
2252
-
8
7
7
6
Tea
ch
in
g
lea
r
n
in
g
b
a
s
ed
o
p
ti
miz
a
tio
n
a
lg
o
r
ith
m
fo
r
effec
tive
a
n
a
lysi
s
o
f
…
(
S
o
u
mya
R
a
n
j
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273
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Fig
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HD
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ased
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at
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ested
T
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B
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n
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e
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s
ed
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D
VR
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ad
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s
t
f
o
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h
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er
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at
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ased
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r
m
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ce
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m
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ce
s
is
im
p
lied
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y
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e
T
HD
o
f
th
e
l
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ad
v
o
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g
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(
a)
(
b
)
(
c)
(
d
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Fig
u
r
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4
.
PQ im
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r
o
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(
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s
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g
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HD
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s
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T
L
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co
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ller
5.
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NCLU
SI
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N
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lated
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h
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ed
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e
r
f
o
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n
d
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t
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h
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r
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ased
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ile
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ar
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m
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atin
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r
th
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ted
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h
e
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er
f
o
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ce
o
f
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er
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ied
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s
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g
d
i
f
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t
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n
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ller
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I
D
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ased
o
n
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o
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tech
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em
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lo
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g
th
e
T
L
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D
an
d
T
L
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eth
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ate
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ad
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n
tr
o
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er
r
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r
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f
v
o
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jectio
n
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ee
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m
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i
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h
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T
HD
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alu
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f
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HD
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e
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e
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o
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f
Tec
h
n
o
lo
g
y
(IIT
)
,
Ne
w
De
lh
i,
In
d
ia,
i
n
2
0
1
3
.
He
wa
s
a
P
o
std
o
c
to
ra
l
Re
se
a
rc
h
e
r
a
t
Ho
wa
rd
U
n
iv
e
rsit
y
,
Was
h
i
n
g
t
o
n
,
DC,
USA,
fr
o
m
2
0
1
3
t
o
2
0
1
4
.
He
is
c
u
rre
n
tl
y
a
n
As
so
c
iate
P
ro
fe
ss
o
r
a
t
t
h
e
De
p
a
rtme
n
t
o
f
Ra
il
r
o
a
d
a
n
d
El
e
c
t
rica
l
En
g
i
n
e
e
rin
g
,
W
o
o
so
n
g
Un
iv
e
rsity
,
Da
e
jeo
n
,
Re
p
u
b
li
c
o
f
Ko
re
a
.
His
c
u
rre
n
t
re
se
a
rc
h
in
tere
sts
in
c
lu
d
e
m
a
rk
e
t
c
lea
rin
g
,
in
c
lu
d
in
g
re
n
e
wa
b
le
e
n
e
rg
y
so
u
r
c
e
s,
d
e
m
a
n
d
re
sp
o
n
se
,
a
n
d
sm
a
rt
g
rid
d
e
v
e
l
o
p
m
e
n
t
wit
h
th
e
in
teg
ra
ti
o
n
o
f
win
d
a
n
d
so
lar
p
h
o
t
o
v
o
lt
a
ic
e
n
e
rg
y
so
u
rc
e
s.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
su
re
n
d
e
r@ws
u
.
a
c
.
k
r
.
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