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ip
s
.
T
h
e
m
aj
o
r
co
n
tr
ib
u
tio
n
s
o
f
th
i
s
p
ap
er
ar
e
as f
o
llo
w
s
:
a.
A
N
N
b
ased
co
m
p
e
n
s
at
io
n
is
a
p
p
lied
f
o
r
ME
MS
s
eis
m
ic
s
en
s
o
r
w
it
h
m
in
i
m
u
m
er
r
o
r
.
b.
FP
AA
b
ased
h
ar
d
w
ar
e
i
m
p
le
m
en
tatio
n
u
ti
lizi
n
g
m
i
n
i
m
u
m
r
eso
u
r
ce
s
a
n
d
th
ir
d
l
y
ac
h
iev
in
g
m
in
i
m
u
m
er
r
o
r
u
s
in
g
h
ar
d
w
ar
e
i
m
p
le
m
e
n
tatio
n
.
T
h
is
p
ap
er
is
o
r
g
a
n
ized
i
n
f
o
l
lo
w
i
n
g
d
if
f
er
e
n
t
s
ec
tio
n
s
.
Sec
o
n
d
s
ec
tio
n
d
ea
ls
w
it
h
liter
at
u
r
e
s
u
r
v
e
y
an
d
g
ap
s
i
n
e
x
is
tin
g
w
o
r
k
a
lo
n
g
w
i
th
s
co
p
e
f
o
r
th
e
r
e
s
e
ar
ch
w
o
r
k
.
T
h
ir
d
Sectio
n
d
is
cu
s
s
es
f
o
r
ME
MS
Seis
m
ic
Se
n
s
o
r
(
MSS)
n
o
n
-
id
ea
liti
es a
n
d
p
r
o
p
o
s
ed
w
o
r
k
to
co
m
p
e
n
s
ate
th
e
n
o
n
-
id
ea
li
ties
p
r
esen
t i
n
o
u
tp
u
t o
f
MSS.
Sectio
n
4
g
i
v
es
i
m
p
le
m
en
tatio
n
o
f
ar
ti
f
icial
n
e
u
r
al
n
et
w
o
r
k
b
ased
f
r
eq
u
en
c
y
e
f
f
ec
t
co
m
p
en
s
atio
n
s
ch
e
m
e
u
s
i
n
g
n
eu
r
o
n
m
o
d
el.
S
ec
tio
n
5
d
is
c
u
s
s
e
s
o
n
in
ter
f
ac
e
cir
cu
it i
m
p
le
m
e
n
tatio
n
u
s
in
g
FP
AA
.
R
es
u
lt
s
ar
e
d
is
cu
s
s
ed
an
d
an
al
y
ze
d
in
Sec
tio
n
6
.
2.
RE
L
AT
E
D
WO
RK
ME
MS
b
ased
E
lectr
o
ch
e
m
ic
al
Seis
m
ic
s
en
s
o
r
d
ev
ice
ch
ar
ac
ter
izatio
n
p
er
f
o
r
m
ed
o
n
a
v
ib
r
atio
n
tab
le
r
ec
o
r
d
ed
in
[
2
]
I
t
h
as
b
ee
n
r
ep
o
r
ted
o
v
er
all
lin
ea
r
r
elatio
n
s
h
ip
b
et
w
ee
n
ap
p
lied
v
elo
cities
an
d
o
u
tp
u
t
v
o
ltag
e
a
m
p
li
tu
d
es
w
it
h
a
s
e
n
s
iti
v
it
y
o
f
2
7
4
V/(
m
/
s
)
i
n
t
h
e
r
an
g
e
o
f
(
2
0
–
8
0
Hz)
b
u
t
t
h
ese
ch
ar
ac
ter
is
t
ics
ar
e
n
o
t
p
u
r
el
y
lin
ea
r
.
I
d
ea
ll
y
th
e
ch
ar
ac
ter
is
tics
o
f
ME
MS
s
eis
m
ic
s
e
n
s
o
r
s
h
o
u
ld
b
e
in
d
ep
en
d
en
t
o
f
in
p
u
t
v
ib
r
atin
g
f
r
eq
u
en
c
y
f
o
r
th
e
e
x
p
er
im
e
n
t
r
ep
o
r
ted
in
[
2
]
.
T
h
e
p
u
r
p
o
s
e
o
f
th
is
w
o
r
k
i
s
to
s
tu
d
y
th
e
li
m
i
tatio
n
s
o
f
th
e
ex
p
er
i
m
e
n
tat
io
n
o
f
ME
MS
b
ased
Seis
m
ic
s
e
n
s
o
r
s
u
c
h
as
f
r
eq
u
en
c
y
d
ep
en
d
e
n
ce
an
d
A
r
tif
ic
ial
Neu
r
al
Net
w
o
r
k
b
ased
s
o
f
t
co
m
p
u
ti
n
g
m
o
d
el
h
a
v
e
b
ee
n
p
r
o
p
o
s
ed
to
co
m
p
en
s
ate
t
h
ese
er
r
o
r
s
.
C
o
m
p
ar
ed
to
o
th
er
s
eis
m
o
m
eter
s
r
el
y
in
g
o
n
s
o
li
d
p
r
o
o
f
m
ass
e
s
f
o
r
en
v
ir
o
n
m
en
tal
v
ib
r
atio
n
m
o
n
ito
r
in
g
,
th
e
e
lectr
o
ch
e
m
ica
l
ap
p
r
o
ac
h
w
as
r
ep
o
r
ted
to
en
ab
le
lo
w
-
f
r
eq
u
en
c
y
v
ib
r
atio
n
s
i
g
n
al
ch
ar
ac
ter
izatio
n
[
2
]
,
[
3
]
.
D.
C
h
e
n
,
et
a
l.
r
ep
o
r
ted
m
icr
o
elec
tr
o
ch
e
m
ical
s
eis
m
ic
s
en
s
o
r
w
h
ic
h
h
av
e
in
p
u
t
v
ib
r
atin
g
f
r
eq
u
en
c
y
d
ep
en
d
en
t
ch
ar
ac
ter
is
tic
s
.
Fig
u
r
e
1
s
h
o
w
s
th
ese
ch
ar
ac
ter
i
s
tics
.
I
n
p
u
t
v
ib
r
atin
g
f
r
eq
u
en
c
y
[
2
]
,
[
3
]
.
A
ll
o
f
th
ese
r
ev
ie
w
ed
w
o
r
k
atte
m
p
ted
to
co
m
p
e
n
s
ate
d
if
f
er
en
t
t
y
p
e
s
o
f
n
o
n
-
i
d
ea
liti
es
o
f
ME
MS
s
e
n
s
o
r
s
h
o
w
e
v
er
all
th
e
s
e
tech
n
iq
u
es
r
eq
u
ir
e
e
x
ter
n
al
h
ar
d
w
ar
e
cir
cu
i
ts
o
r
co
m
p
u
ter
to
co
m
p
en
s
ate
t
h
e
er
r
o
r
s
.
Ou
r
p
r
ev
io
u
s
w
o
r
k
f
o
cu
s
ed
o
n
th
e
d
ev
elo
p
m
en
t
o
f
A
r
tif
ic
ial
Neu
r
al
Net
w
o
r
k
s
b
ased
s
o
f
t
co
m
p
u
ti
n
g
m
o
d
el
[
4
]
w
h
ic
h
r
esu
lt
s
in
f
r
eq
u
en
c
y
d
r
if
t
co
m
p
en
s
atio
n
w
it
h
m
ea
n
s
q
u
ar
e
er
r
o
r
o
f
7
.
7
4
e
-
2
.
[
4
]
.
Sim
i
lar
k
i
n
d
o
f
co
m
p
e
n
s
atio
n
m
et
h
o
d
ap
p
lied
to
ME
MS
b
ased
g
y
r
o
s
co
p
e
f
o
r
m
i
n
i
m
izi
n
g
a
n
g
u
lar
r
ate
er
r
o
r
[
5
]
.
Fig
u
r
e
1
.
ME
MS
s
eis
m
ic
s
e
n
s
o
r
ch
ar
ac
ter
is
tics
-
v
elo
cit
y
v
/s
o
u
tp
u
t v
o
lta
g
e
o
f
b
e
f
o
r
e
v
ib
r
atin
g
f
r
eq
u
e
n
c
y
co
m
p
e
n
s
at
io
n
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
9
-
4
864
I
J
R
E
S
V
o
l.
6
,
No
.
2
,
J
u
l
y
2
0
1
7
:
1
20
–
1
26
122
3.
P
RO
P
O
SE
D
WO
RK
3
.
1
.
ANN
M
o
del D
escript
io
n
R
esear
ch
er
s
h
a
v
e
atte
m
p
ted
f
o
r
m
in
i
m
izi
n
g
t
h
e
n
o
n
-
id
ea
liti
es
in
ME
MS
b
ased
s
e
n
s
o
r
s
l
ik
e
h
u
m
id
it
y
s
en
s
o
r
s
,
p
o
r
o
u
s
s
i
lico
n
p
r
es
s
u
r
e
s
en
s
o
r
s
w
it
h
e
x
ter
n
al
h
ar
d
w
ar
e
o
r
co
m
p
u
ter
p
r
o
g
r
a
m
m
e.
B
u
t
t
h
e
s
e
ap
p
licatio
n
s
ar
e
li
m
ited
b
y
m
o
r
e
s
ize
an
d
m
o
r
e
p
o
w
er
r
eq
u
ir
e
m
en
t
w
h
ic
h
i
s
n
o
t
ac
ce
p
tab
le
f
o
r
h
ig
h
l
y
co
m
p
ac
t
cir
c
u
its
a
n
d
s
y
s
te
m
.
Hen
ce
s
m
all
s
ize,
less
p
o
wer
ed
s
o
lu
tio
n
s
h
o
u
ld
b
e
p
r
o
p
o
s
ed
f
o
r
MSS.
T
o
ch
ar
ac
ter
ize
th
e
p
ar
a
m
eter
s
o
f
co
m
m
er
ciall
y
a
v
ailab
le
MS
S
(
ME
T
2
0
0
3
)
,
th
e
d
ev
ices
w
er
e
p
o
s
itio
n
ed
o
n
a
v
ib
r
atin
g
tab
le
w
ith
t
h
e
v
ib
r
at
in
g
v
elo
cit
y
a
n
d
f
r
eq
u
e
n
c
y
ad
j
u
s
ted
s
y
s
te
m
at
icall
y
.
F
ig
u
r
e
1
r
ec
o
r
d
s
th
e
o
u
tp
u
t
v
o
ltag
e
o
f
a
M
SS
d
ev
ice
as
a
f
u
n
ctio
n
o
f
th
e
v
ib
r
atio
n
v
elo
cit
y
.
I
t
d
e
m
o
n
s
tr
ate
s
t
h
e
d
if
f
er
en
t
o
u
tp
u
t
v
o
ltag
e
s
f
o
r
d
if
f
er
e
n
t
v
ib
r
atin
g
f
r
eq
u
e
n
cies
w
h
ic
h
s
h
o
w
li
n
ea
r
r
elatio
n
s
h
ip
h
o
w
e
v
er
th
e
s
e
m
u
s
t
b
e
in
d
ep
en
d
en
t
o
f
in
p
u
t
v
ib
r
ati
n
g
f
r
eq
u
e
n
cies
h
av
i
n
g
p
u
r
el
y
li
n
ea
r
r
elatio
n
.
Hen
ce
th
i
s
p
r
o
b
le
m
m
u
s
t
b
e
atte
m
p
ted
b
y
d
ev
elo
p
in
g
t
h
e
in
ter
f
ac
e
cir
cu
it
f
o
r
d
r
if
t
co
m
p
en
s
atio
n
i
n
o
u
tp
u
t
v
o
ltag
e.
I
n
o
u
r
p
r
ev
i
o
u
s
w
o
r
k
,
th
e
f
ee
d
f
o
r
w
ar
d
A
N
N
m
o
d
el
w
it
h
h
y
p
er
b
o
lic
ta
n
s
ig
m
o
id
ac
ti
v
a
tio
n
f
u
n
ctio
n
i
s
tr
ai
n
ed
w
it
h
b
ac
k
p
r
o
p
ag
atio
n
alg
o
r
ith
m
an
d
t
h
e
s
i
m
u
la
tio
n
s
ar
e
ca
r
r
ie
d
o
u
t
in
MA
T
L
A
B
,
w
it
h
A
NN
to
o
l
b
o
x
.
T
h
e
f
r
eq
u
en
c
y
d
ep
en
d
e
n
t
o
u
tp
u
t
v
o
lta
g
e
is
ta
k
e
n
as
in
p
u
t
to
ANN
m
o
d
el
w
h
ich
y
ield
s
co
m
p
en
s
a
ted
o
u
tp
u
t
[
4
]
.
I
t
r
esu
lt
s
in
f
r
eq
u
e
n
c
y
d
r
if
t
co
m
p
en
s
at
io
n
w
i
t
h
m
i
n
i
m
u
m
m
ea
n
s
q
u
ar
e
er
r
o
r
(
MSE
)
o
f
7
.
7
4
e
-
2
.
Fig
u
r
e
2
.
s
h
o
w
s
a
n
e
u
r
o
n
i
n
ANN
m
o
d
el.
T
h
e
i
n
p
u
t
la
y
er
h
a
s
t
w
o
i
n
p
u
t
s
a
n
d
b
ias.
T
w
o
n
e
u
r
o
n
s
ar
e
s
elec
ted
f
o
r
h
id
d
en
la
y
er
.
T
h
is
w
o
r
k
f
o
cu
s
ed
o
n
FP
AA
b
ased
h
ar
d
w
ar
e
i
m
p
le
m
e
n
tatio
n
o
f
i
n
p
u
t
v
ib
r
atin
g
f
r
eq
u
e
n
c
y
i
n
d
ep
en
d
en
t
in
ter
f
ac
e
cir
cu
i
t
d
ev
elo
p
m
en
t.
Fig
u
r
e
2
.
B
asic sin
g
le
n
e
u
r
o
n
m
o
d
el
3
.
2
.
F
P
AA
Str
uct
ure
R
ec
en
t
l
y
l
ik
e
FP
GA
in
d
ig
ita
l
d
esig
n
,
A
n
ad
i
g
m
p
r
o
v
id
ed
Fie
ld
p
r
o
g
r
am
m
ab
le
a
n
alo
g
ar
r
a
y
s
(
FP
AA
)
w
it
h
o
n
b
o
ar
d
d
y
n
a
m
ic
co
n
f
ig
u
r
at
io
n
ca
p
ab
ilit
y
g
iv
e
s
d
e
s
ig
n
er
s
u
s
er
f
r
ie
n
d
l
y
p
lat
f
o
r
m
i
n
a
n
alo
g
d
es
ig
n
.
FP
AA
h
as
f
u
ll
y
d
i
f
f
er
e
n
tial
a
r
ch
itect
u
r
e
w
h
ic
h
i
s
s
u
itab
le
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d
ad
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s
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o
r
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ltag
e
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n
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g
s
i
g
n
a
l
p
r
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ce
s
s
in
g
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n
s
is
t
o
f
f
o
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r
C
A
B
b
lo
ck
s
in
w
h
ich
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m
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le
m
en
ta
tio
n
o
f
a
n
alo
g
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ir
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it
s
is
s
i
m
p
ler
,
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s
ier
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les
s
ti
m
e
tak
i
n
g
.
I
t
u
s
e
s
th
e
s
w
itc
h
ed
ca
p
ac
itan
ce
(
SC
)
tech
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o
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g
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at
t
h
e
b
ac
k
en
d
i
n
w
h
ic
h
elec
tr
ica
l
ch
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g
e
t
h
r
o
u
g
h
ca
p
ac
ito
r
is
co
n
tr
o
lled
.
Fig
u
r
e
3
s
h
o
w
s
t
h
e
in
ter
n
al
b
asic
s
tr
u
ct
u
r
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o
f
th
e
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m
o
d
el
A
N2
3
1
E
0
4
.
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h
e
b
ig
g
est
ad
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an
tag
e
o
f
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i
s
d
y
n
a
m
ic
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o
n
f
i
g
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r
atio
n
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h
p
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o
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o
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r
d
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ar
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h
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n
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g
f
ac
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e
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e
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elo
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e
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t.
I
t
h
as
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e
v
en
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n
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g
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r
ab
le
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n
p
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t
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o
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t
ce
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d
t
w
o
d
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o
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t
f
o
r
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ter
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in
g
.
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h
e
m
ai
n
f
ea
t
u
r
es i
n
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d
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g
,
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t o
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et
t
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ch
o
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m
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er
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o
r
m
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ce
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h
e
m
ain
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o
u
r
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a
lo
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in
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en
d
e
n
t
m
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les
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n
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o
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p
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t
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ter
f
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h
e
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n
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ct
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atin
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L
o
o
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Up
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le
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UT
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h
av
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n
g
2
5
6
B
y
te
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ities
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n
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i
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le
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o
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ch
ar
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ter
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tics
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izatio
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ar
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itra
r
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ig
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er
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n
.
T
h
e
ty
p
ical
f
r
eq
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en
c
y
r
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g
e
f
o
r
o
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is
f
r
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m
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n
g
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ad
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S/N r
atio
o
f
1
2
0
d
B
[
1
1
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
R
E
S
I
SS
N:
2089
-
4864
MEMS
S
eismic S
en
s
o
r
w
ith
F
P
A
A
B
a
s
ed
I
n
terf
a
ce
C
ir
cu
it f
o
r
F
r
eq
u
en
cy
-
Dri
ft…
(
R
a
mes
h
P
a
w
a
s
e
)
123
Fig
u
r
e
3
.
I
n
ter
n
al
b
lo
ck
d
iag
r
a
m
o
f
FP
AA
3
.
3
.
F
P
AA
B
a
s
ed
I
m
ple
m
e
nt
a
t
io
n
T
h
e
v
ib
r
atin
g
f
r
eq
u
e
n
c
y
d
ep
en
d
en
t
o
u
tp
u
t
v
o
lta
g
e
(
0
to
2
.
5
V)
o
f
s
eis
m
ic
s
en
s
o
r
f
o
r
v
ib
r
atin
g
v
elo
cit
y
(
0
to
0
.
5
c
m
/s
)
is
u
s
ed
as
i
n
p
u
t
f
o
r
FP
AA
b
a
s
ed
in
ter
f
ac
e
cir
c
u
it
w
h
ic
h
p
r
o
v
id
es
f
r
eq
u
e
n
c
y
in
d
ep
en
d
en
t
o
u
tp
u
t
v
o
lta
g
e.
Fig
u
r
e
4
s
h
o
w
s
th
e
b
asic
w
o
r
k
in
g
m
o
d
el
o
f
o
u
r
r
esear
ch
w
h
ic
h
h
as
t
w
o
p
ar
ts
co
n
s
is
tin
g
o
n
li
n
e
s
e
n
s
o
r
o
u
tp
u
t
p
r
o
ce
s
s
ed
b
y
i
n
ter
f
ac
e
cir
cu
it
an
d
o
th
er
h
av
i
n
g
o
f
f
li
n
e
A
N
N
m
o
d
el
f
i
n
d
i
n
g
o
p
tim
u
m
p
ar
a
m
eter
s
lik
e
w
ei
g
h
t
s
a
n
d
b
ias
w
h
ic
h
ar
e
t
h
en
tak
en
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to
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u
n
t
w
h
ile
d
es
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g
n
o
f
FP
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ased
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ter
f
ac
e
cir
c
u
it.
Fi
g
u
r
e
5
d
ep
icts
th
e
s
in
g
le
n
eu
r
o
n
i
m
p
l
e
m
en
tatio
n
o
f
FP
AA
b
a
s
ed
in
ter
f
ac
e
cir
c
u
it
i
n
An
ad
ig
m
Des
ig
n
er
2
s
i
m
u
lato
r
[
1
2
]
w
h
ic
h
is
th
e
n
i
m
p
le
m
e
n
ted
in
FP
AA
h
ar
d
w
ar
e
d
ev
elo
p
m
e
n
t
k
it
as
s
h
o
w
n
in
Fi
g
.
6
.
T
h
e
o
n
e
n
eu
r
o
n
i
s
an
al
y
s
ed
i
n
FP
AA
h
ar
d
w
ar
e
w
h
i
ch
u
s
es 3
.
3
V
as su
p
p
l
y
v
o
lta
g
e
f
o
r
o
p
er
atio
n
.
T
h
e
h
y
p
er
b
o
lic
tan
tr
an
s
f
er
f
u
n
ct
io
n
is
i
m
p
le
m
en
ted
i
n
lo
o
k
u
p
ta
b
le
as sh
o
w
n
in
F
ig
u
r
e
7.
Fig
u
r
e
4
.
B
lo
ck
d
iag
r
a
m
o
f
s
e
n
s
o
r
w
it
h
FP
AA
b
ased
I
n
ter
f
a
ce
cir
cu
it
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
9
-
4
864
I
J
R
E
S
V
o
l.
6
,
No
.
2
,
J
u
l
y
2
0
1
7
:
1
20
–
1
26
124
Fig
u
r
e
5
.
I
m
p
le
m
e
n
tatio
n
o
f
F
P
AA
b
ased
in
ter
f
ac
e
cir
cu
it
i
n
an
ad
ig
m
d
esi
g
n
er
Fig
u
r
e
6
.
I
m
p
le
m
e
n
tatio
n
o
f
F
P
AA
b
ased
in
ter
f
ac
e
cir
cu
it
Fig
u
r
e
7
.
H
y
p
er
b
o
lic
tan
tr
an
s
f
er
f
u
n
c
tio
n
i
m
p
le
m
en
ted
i
n
lo
o
k
u
p
tab
le
4.
P
E
RF
O
RM
ANCE E
VA
L
U
AT
I
O
N
4
.
1
.
P
er
f
o
rm
a
nce
M
et
rics
E
r
r
o
r
in
p
er
ce
n
tag
e
is
ca
lc
u
l
ated
an
d
an
al
y
s
ed
f
o
r
th
e
r
an
g
e
o
f
in
p
u
t
v
elo
ci
t
y
,
0
to
0
.
5
c
m
/s
.
T
h
e
s
ec
o
n
d
m
etr
ic
s
is
u
s
ed
as th
e
r
eso
u
r
ce
u
til
izatio
n
i
n
FP
AA
h
ar
d
w
ar
e
w
h
ic
h
is
al
s
o
ex
p
r
ess
ed
in
p
er
ce
n
tag
e.
4
.
2
.
Dis
cus
s
io
n o
n Re
s
u
lt
s
I
n
p
r
o
p
o
s
ed
s
y
s
te
m
,
t
h
e
f
r
eq
u
en
c
y
d
ep
en
d
en
t
o
u
tp
u
t
v
o
lta
g
e
is
ta
k
e
n
as
i
n
p
u
t
to
A
NN
m
o
d
el
w
h
ic
h
y
ield
s
co
m
p
en
s
ated
o
u
tp
u
t.
T
h
e
i
n
p
u
t
la
y
er
h
a
s
t
w
o
in
p
u
ts
an
d
b
ias.
Fo
r
ex
p
er
i
m
en
ta
ti
o
n
t
w
o
n
eu
r
o
n
s
i
n
h
id
d
en
la
y
er
ar
e
u
s
ed
i
m
p
le
m
e
n
t
t
h
e
cir
c
u
it
w
it
h
s
i
m
p
l
i
cit
y
.
T
h
e
s
elec
ted
m
et
h
o
d
o
f
tr
ai
n
i
n
g
is
b
ac
k
p
r
o
p
ag
atio
n
alg
o
r
ith
m
a
n
d
th
e
s
i
m
u
lat
io
n
s
ar
e
ca
r
r
ied
o
u
t
i
n
MA
T
L
A
B
,
w
it
h
A
N
N
to
o
l
b
o
x
.
Fig
u
r
e
8
s
h
o
w
s
m
i
n
i
m
ized
er
r
o
r
w
it
h
r
ef
er
en
ce
to
v
elo
city
a
n
d
Fig
u
r
e
9
s
h
o
w
s
t
h
e
o
u
tp
u
t
v
o
ltag
e
f
o
r
d
if
f
er
en
t
v
ib
r
atin
g
f
r
eq
u
en
c
y
,
a
f
ter
ap
p
ly
in
g
A
N
N
b
ased
co
m
p
en
s
atio
n
m
o
d
el
in
FP
AA
.
T
ab
le
1
s
h
o
w
s
r
eso
u
r
ce
u
tili
za
tio
n
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
R
E
S
I
SS
N:
2089
-
4864
MEMS
S
eismic S
en
s
o
r
w
ith
F
P
A
A
B
a
s
ed
I
n
terf
a
ce
C
ir
cu
it f
o
r
F
r
eq
u
en
cy
-
Dri
ft…
(
R
a
mes
h
P
a
w
a
s
e
)
125
Fig
u
r
e
8
.
E
r
r
o
r
in
p
er
ce
n
tag
e
T
ab
le
1
.
R
eso
u
r
ce
Utilizatio
n
F
P
A
A
1
F
P
A
A
2
R
e
so
u
r
c
e
s
C
Op
Co
S
A
R
C
Op
Co
S
A
R
C
A
B
1
06
02
01
01
06
02
01
01
C
A
B
2
06
02
--
--
08
01
--
--
C
A
B
3
--
--
--
--
04
01
--
--
C
A
B
4
--
--
--
--
06
01
01
01
T
o
t
a
l
u
se
d
12
04
01
01
24
05
02
02
A
v
a
i
l
a
b
l
e
32
08
04
04
32
08
04
04
U
t
i
l
i
z
a
t
i
o
n
i
n
%
3
7
.
5
50
25
25
75
6
2
.
5
50
50
P
o
w
e
r
9
4
.
2
8
mW
1
1
2
.
3
4
mW
C
:
C
a
p
a
c
i
t
o
r
s,
O
p
:
N
o
o
f
O
p
e
r
a
t
i
o
n
a
l
A
mp
l
i
f
i
e
r
s,
C
o
:
C
o
mp
a
r
a
t
o
r
s,
S
A
R
:
S
u
c
c
e
ssi
v
e
a
p
p
r
o
x
i
mat
i
o
n
r
e
si
s
t
o
r
s
Fig
u
r
e
9
.
s
h
o
w
s
th
e
g
r
ap
h
s
o
f
v
elo
cit
y
a
n
d
o
u
tp
u
t
v
o
l
tag
e
af
ter
co
m
p
e
n
s
atio
n
.
FP
AA
b
ased
co
m
p
e
n
s
at
io
n
c
ir
cu
it
g
iv
e
s
t
h
e
er
r
o
r
in
f
r
eq
u
e
n
c
y
d
r
if
t
i
n
t
h
e
r
an
g
e
o
f
3
.
6
8
%
to
ab
o
u
t
0
.
6
4
%
as
co
m
p
ar
ed
to
A
N
N
s
i
m
u
lated
r
es
u
lt
s
i
n
t
h
e
r
an
g
e
o
f
2
3
.
0
7
%
to
0
.
9
9
%.
Fig
u
r
e
1
0
s
h
o
w
s
co
m
p
ar
i
s
o
n
o
f
FP
AA
r
eso
u
r
ce
u
tili
za
t
io
n
Fig
u
r
e
9
.
ME
MS
s
eis
m
ic
s
e
n
s
o
r
ch
ar
ac
ter
is
tics
-
v
elo
cit
y
v
/s
o
u
tp
u
t v
o
lta
g
e
o
f
a
f
ter
v
ib
r
atin
g
f
r
eq
u
e
n
c
y
co
m
p
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RE
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NC
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S
[1
]
Ka
ig
h
a
m
J.
Ga
b
riel,
“
M
icro
e
lec
tro
m
e
c
h
a
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S
y
ste
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s
(M
EM
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)
T
u
to
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,
IEE
E
In
tern
a
ti
o
n
a
l
T
e
st
Co
n
f
e
re
n
c
e
,
1
9
9
8
,
p
p
.
4
3
2
-
4
4
1
.
[2
]
D.
Ch
e
n
,
e
t
a
l.
,
A
m
icro
e
lec
tro
c
h
e
m
ic
a
l
se
is
m
ic
se
n
so
r
b
a
se
d
o
n
M
EM
S
tec
h
n
o
lo
g
ies
,
S
e
n
s
.
A
c
tu
a
to
rs
A
:
P
h
y
s.
(2
0
1
3
),
h
tt
p
:/
/
d
x
.
d
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o
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/
1
0
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0
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6
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j.
sn
a
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2
0
1
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2
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[3
]
G
u
a
n
g
b
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i
L
ia,
D
e
y
o
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C
h
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n
a
,
Ju
n
b
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W
a
n
g
a
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Ch
e
n
Jia
n
a
,
W
e
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tao
He
a
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Yu
n
ji
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F
a
n
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a
n
d
T
a
o
De
n
g
a
,
“
A
M
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Ba
se
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S
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i
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r
Us
in
g
th
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El
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m
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A
p
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P
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n
g
in
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g
4
7
(
2
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1
2
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3
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3
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[4
]
Ra
m
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sh
P
a
wa
se
,
Dr.N.
P
.
F
u
tan
e
,
“
A
rti
f
ici
a
l
Ne
u
ra
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N
e
t
w
o
rk
s
B
a
se
d
M
a
th
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a
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M
o
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f
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I
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terf
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Circu
it
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M
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El
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m
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F
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q
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Dri
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In
tern
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S
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P
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d
T
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h
n
o
lo
g
y
o
f
S
e
n
so
rs (IS
P
T
S
-
2
)
[5
]
Ra
m
e
sh
P
a
w
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se
,
Dr.N.
P
.
F
u
tan
e
,
"
A
n
g
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lar
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te
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rro
r
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p
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t
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M
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d
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sc
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ra
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"
,
In
tern
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m
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ti
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g
(IC
P
C),
2
0
1
5
,
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p
.
1
-
4
[6
]
E.
G
.
Ba
k
h
o
u
m
,
M
.
H.M
.
Ch
e
n
g
,
F
re
q
u
e
n
c
y
-
se
lec
ti
v
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s
e
is
m
ic
s
e
n
so
r,
IEE
E
T
ra
n
s
-
a
c
ti
o
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s
o
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In
stru
m
e
n
t
a
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M
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a
su
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m
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t
1
6
(
3
)
(
2
0
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2
)
8
2
3
–
8
2
9
.
[7
]
Em
il
Di
m
it
ro
v
M
a
n
o
lo
v
,
M
ih
a
i
l
Hristo
v
T
z
a
n
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a
n
d
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il
ip
T
o
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Ko
p
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ra
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,
"
F
P
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m
p
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m
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n
tatio
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a
n
d
In
v
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stig
a
ti
o
n
o
f
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n
a
lo
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Ne
u
ro
n
s"
,
A
NN
U
AL
JO
UR
N
AL
OF
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RON
ICS
,
2
0
0
9
,
IS
S
N 1
3
1
3
-
1
8
4
2
[8
]
A
n
th
o
n
y
S
.
De
e
se
,
C.
O.
N
w
a
n
k
p
a
,
"
De
si
g
n
a
n
d
T
e
stin
g
o
f
Cu
sto
m
F
P
A
A
Ha
rd
w
a
r
e
W
it
h
Im
p
ro
v
e
d
S
c
a
lab
il
it
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f
o
r
Em
u
latio
n
o
f
S
m
a
rt
G
rid
s"
,
IEE
E
T
R
A
NS
A
C
T
ION
S
ON
S
M
A
R
T
G
RID,
V
OL
.
5
,
NO
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3
,
M
A
Y 2
0
1
4
1
3
6
9
.
[9
]
Dia
s
P
e
re
ira
JM,
P
o
sto
lac
h
e
O,
S
i
lv
a
G
irao
P
M
B,
Cre
tu
M
i
h
a
i,
“
M
i
n
im
izin
g
te
m
p
e
ra
tu
re
d
rif
t
e
rro
r
o
f
c
o
n
d
it
i
o
n
i
n
g
c
ircu
it
s u
sin
g
a
rti
f
icia
l
n
e
u
ra
l
n
e
t
w
o
rk
s
”
,
IEE
E
T
ra
n
s In
tru
m
M
e
a
s 2
0
0
0
,
4
9
(5
)
.
[1
0
]
N.P
.
F
u
ta
n
e
,
S
.
Ro
y
Ch
o
w
d
h
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ry
,
C.
Ro
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Ch
o
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d
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ry
,
H.
S
a
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a
,
“
AN
N
b
a
se
d
CM
OS
A
S
IC
d
e
sig
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f
o
r
i
m
p
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v
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d
tem
p
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r
a
tu
re
-
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rif
t
c
o
m
p
e
n
sa
ti
o
n
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f
p
iez
o
re
sist
iv
e
m
icro
-
m
a
c
h
in
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d
h
ig
h
re
so
l
u
ti
o
n
p
re
ss
u
re
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n
so
r”
,
M
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lec
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n
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Re
li
a
b
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ty
5
0
(2
0
1
0
),
p
p
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2
8
2
–
2
9
1
[1
1
]
N.
P
.
F
u
tan
e
,
S
.
Ro
y
Ch
o
w
d
h
u
r
y
,
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Ro
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a
u
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S
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,
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A
n
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f
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im
p
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p
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d
rif
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o
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p
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n
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siti
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p
o
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o
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s
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c
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p
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u
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”
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p
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g
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A
n
a
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In
teg
r
Circ
S
ig
P
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o
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ss
(2
0
1
1
)
6
7
:
3
8
3
–
3
9
3
.
[1
2
]
A
n
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Evaluation Warning : The document was created with Spire.PDF for Python.