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liter
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r
e
[
1
2
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-
[
2
4
]
.
Var
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[
1
2
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,
[
15
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,
[
1
6
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.
Dif
f
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licatio
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ata
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in
in
g
tech
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iq
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es
ar
e
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r
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p
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s
ed
[
1
2
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,
[
18
]
,
[
19
]
,
[
2
2
]
to
p
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th
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Fu
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ic
[
2
5
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,
[
2
6
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was
a
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p
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ith
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to
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th
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[
1
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.
Hu
m
a
n
ex
p
e
r
t
k
n
o
wled
g
e
h
as
b
ee
n
u
s
ed
to
d
esig
n
th
is
s
y
s
tem
.
T
h
is
s
y
s
te
m
u
s
ed
Su
g
en
o
ty
p
e
f
u
zz
y
i
n
f
er
en
ce
p
r
o
ce
d
u
r
es
alo
n
g
with
a
p
lian
t
f
u
zz
y
in
f
e
r
en
ce
p
r
o
ce
d
u
r
e
t
o
clar
if
y
th
e
ea
r
th
q
u
ak
e
p
ar
am
eter
s
.
T
h
e
co
r
r
ec
tn
ess
o
f
th
is
s
y
s
tem
is
b
etter
th
an
o
p
in
io
n
o
f
h
u
m
a
n
ex
p
e
r
t
.
R
u
le
b
ase
ex
p
er
t
s
y
s
tem
was
p
r
o
p
o
s
ed
in
[
1
6
]
,
wh
er
e
ea
r
th
q
u
ak
es
wer
e
p
r
ed
icted
b
y
tak
i
n
g
ac
co
u
n
t
o
f
h
is
to
r
ical
d
at
a.
Ass
o
ciati
o
n
r
u
le
m
i
n
in
g
tech
n
iq
u
e
w
as
em
p
lo
y
e
d
to
d
is
co
v
e
r
k
n
o
wled
g
e
[
1
8
]
.
As
ass
o
ciatio
n
its
elf
is
b
in
ar
y
ap
p
r
o
ac
h
u
n
ce
r
tain
t
y
ca
n
’
t
b
e
h
an
d
led
with
it
[
2
7
]
,
[
2
8
]
.
On
th
e
co
n
tr
ar
y
,
b
elief
r
u
le
b
ase
ex
p
er
t
s
y
s
tem
s
(
B
R
B
E
Ss
)
h
av
e
th
e
ca
p
ab
ilit
y
to
r
ep
r
ese
n
t
v
ar
io
u
s
k
in
d
s
o
f
u
n
ce
r
tain
ty
b
o
th
in
th
e
k
n
o
wled
g
e
b
ase
as we
ll a
s
in
th
e
in
f
er
e
n
ce
p
r
o
ce
s
s
es
[
2
9
]
-
[
3
4
]
in
an
in
teg
r
ated
f
r
am
ewo
r
k
.
Ho
s
s
ain
et
a
l
.
[
1
1
]
in
tr
o
d
u
ce
d
a
s
y
s
tem
wh
ich
co
n
s
id
er
ed
f
u
zz
y
b
ased
s
y
s
tem
an
d
e
x
p
er
t
s
y
s
tem
to
p
r
ed
ict
ea
r
th
q
u
ak
e.
T
h
is
s
y
s
tem
to
o
k
in
p
u
ts
in
a
m
an
u
al
m
an
n
er
.
So
,
f
r
o
m
p
r
e
v
io
u
s
an
al
y
s
is
it
is
clea
r
th
a
t
ex
p
er
t
s
y
s
tem
with
in
tern
e
t
o
f
th
in
g
s
(
I
o
T
)
in
te
g
r
atio
n
is
a
b
etter
ch
o
ice
to
r
em
o
v
e
t
h
e
u
n
ce
r
tain
ties
in
ea
r
th
q
u
ak
e
p
r
ed
ictio
n
.
W
e
m
o
v
e
f
o
r
war
d
to
th
e
n
ex
t
d
is
cu
s
s
io
n
lik
e
th
is
.
Sectio
n
I
I
d
is
cu
s
s
e
s
ab
o
u
t
t
h
e
s
tr
u
ctu
r
e
o
f
BRB
an
d
I
o
T
s
y
s
tem
.
Als
o
,
b
len
d
in
g
of
B
R
B
I
n
f
er
en
ce
m
eth
o
d
o
lo
g
y
an
d
io
t
co
m
b
in
ed
wit
h
ev
id
en
tial
r
ea
s
o
n
in
g
(
R
I
ME
R
)
ap
p
r
o
ac
h
,
d
esig
n
in
g
t
h
e
s
y
s
tem
an
d
e
f
f
ec
tu
atio
n
o
f
th
e
r
ais
ed
BRB
I
n
tellig
en
t
s
y
s
tem
with
I
o
T
in
teg
r
atio
n
.
An
aly
ze
d
d
ata
an
d
in
ter
lo
c
u
tio
n
ar
e
s
h
o
wn
in
s
ec
tio
n
I
I
I
.
T
h
e
s
y
s
tem
an
d
h
ar
d
war
e
d
esig
n
o
f
th
e
d
is
cu
s
s
ed
m
o
d
el
s
y
s
tem
is
wr
itten
i
n
s
ec
tio
n
I
V.
Sectio
n
V
s
h
o
w
s
with
a
co
n
clu
s
io
n
wh
y
is
m
o
d
el
is
m
o
r
e
v
iab
le
c
h
o
ice.
2.
G
E
N
E
R
A
L
O
U
T
L
O
O
K
O
F
I
O
T
A
N
D
B
R
B
S
Y
S
T
E
M
Fig
u
r
e
1
d
em
o
n
s
tr
ates
th
e
m
o
d
el
wh
er
e
I
o
T
d
e
v
ices
h
av
e
b
ee
n
u
s
ed
u
s
in
g
th
r
ee
s
en
s
o
r
s
DHT
1
1
tem
p
er
atu
r
e
a
n
d
h
u
m
id
ity
s
en
s
o
r
,
HC
-
SR
0
4
u
ltra
s
o
n
ic
s
en
s
o
r
an
d
E
SP
8
2
6
6
E
X
c
o
llect
tem
p
er
atu
r
e,
d
is
tan
ce
,
an
d
lo
w
p
o
wer
d
ata.
Fil
ter
in
g
o
f
d
ata
h
as
b
ee
n
d
o
n
e
af
ter
an
aly
zin
g
it
,
b
ig
d
ata,
s
to
r
ag
e
o
f
d
ata
an
d
s
tr
ea
m
in
g
tech
n
iq
u
e.
Fin
ally
th
e
ea
r
th
q
u
ak
e
ca
teg
o
r
izatio
n
will
b
e
d
o
n
e
b
y
d
ata
m
in
in
g
a
n
d
m
ac
h
i
n
e
lear
n
in
g
p
r
o
ce
s
s
.
A
p
icto
r
ial
r
ep
r
esen
tatio
n
o
f
I
n
tellig
en
t
B
R
B
s
y
s
tem
is
il
lu
s
tr
ated
in
Fig
u
r
e
2
.
Her
e
d
ata
i
n
v
esti
g
atio
n
b
lo
ck
s
h
o
ws
th
at
d
ata
h
av
e
b
ee
n
ta
k
en
f
o
r
an
al
y
zin
g
a
n
d
s
to
r
i
n
g
th
e
in
f
o
r
m
atio
n
.
An
aly
ze
d
d
ata
is
ag
g
r
eg
ated
b
y
th
e
ab
s
tr
ac
tio
n
b
lo
c
k
wh
ich
is
th
en
b
ee
n
co
n
v
er
ted
to
I
n
tellig
en
t
B
R
B
s
y
s
tem
[
3
5
]
.
Fig
u
r
e
1
.
Picto
r
ial
r
e
p
r
esen
tatio
n
o
f
th
e
m
o
d
el
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Reco
n
f
ig
u
r
a
b
le
&
E
m
b
ed
d
ed
Sy
s
t
I
SS
N:
2089
-
4
8
6
4
A
n
in
tern
et
o
f th
in
g
s
b
elief
r
u
le
b
a
s
e
s
ma
r
t sys
tem
to
p
r
ed
ict
ea
r
th
q
u
a
ke
(
Md
.
Ma
h
a
s
h
i
n
Mia
)
151
Fig
u
r
e
2
.
I
n
tellig
en
t BR
B
s
y
s
t
em
ar
ch
itectu
r
e
d
escr
ib
in
g
r
an
g
e
o
f
o
p
er
atio
n
o
f
d
if
f
er
e
n
t p
a
r
ts
T
h
e
f
o
llo
win
g
d
is
cu
s
s
io
n
will b
e
o
n
I
o
T
a
n
d
B
R
B
.
a.
lo
T
In
in
ter
n
et
o
f
th
in
g
s
ea
ch
ele
m
en
t
o
f
n
etwo
r
k
is
in
laid
with
s
o
f
twar
e,
elec
tr
o
n
ics,
an
d
s
en
s
o
r
s
.
Als
o
,
th
ese
elem
en
ts
ca
n
b
e
attac
h
e
d
to
th
e
in
ter
n
et.
Fig
u
r
e
1
s
h
o
ws
th
e
s
tr
u
ctu
r
al
d
esig
n
o
f
th
e
W
SN,
u
s
ed
to
s
to
r
e
an
d
co
llect
d
ata
f
r
o
m
th
e
en
v
ir
o
n
m
e
n
t.
DHT
1
1
(
tem
p
er
atu
r
e
an
d
h
u
m
id
ity
s
en
s
o
r
)
,
HC
-
SR
0
4
(u
ltra
s
o
n
i
c
s
en
s
o
r
)
as
well
as
E
SP
8
2
6
6
E
X
is
u
s
ed
in
ea
ch
I
o
T
elem
e
n
t.
I
n
ea
ch
I
o
T
b
r
an
c
h
,
DHT
1
1
,
HC
-
SR
0
4
an
d
E
SP
8
2
6
6
E
X
s
en
s
o
r
s
h
av
e
b
ee
n
u
s
ed
.
T
h
e
DHT
1
1
m
ea
s
u
r
es
th
e
air
in
th
e
en
v
ir
o
n
m
en
t
i.e
.
tem
p
er
atu
r
e
,
an
d
s
p
it
s
o
u
t
a
d
ig
ital
s
ig
n
al
o
n
th
e
d
ata
p
in
,
th
e
HC
-
SR
0
4
s
en
s
o
r
ca
n
co
llect
m
ea
s
u
r
in
g
d
is
tan
ce
o
r
s
en
s
in
g
o
b
jects
an
d
E
SP
8
2
6
6
E
X
ac
h
iev
es
lo
w
p
o
wer
co
n
s
u
m
p
tio
n
d
ata
f
r
o
m
ea
ch
s
u
b
ject.
T
h
e
r
ea
d
in
g
o
f
th
ese
s
en
s
o
r
s
ar
e
s
to
r
ed
in
th
e
m
em
o
r
y
o
f
Ar
d
u
in
o
a
n
d
af
ter
f
ilter
in
g
,
th
e
b
u
ilt
-
in
R
F
m
o
d
u
le
o
f
Ar
d
u
in
o
will
s
e
n
t
th
e
r
ea
d
in
g
s
to
d
atab
ase
s
er
v
b.
B
R
B
W
e
ca
n
co
n
s
id
er
B
R
B
as
an
alter
n
ativ
e
wh
ich
ca
n
r
eso
lv
e
co
m
p
licated
r
elatio
n
s
h
ip
s
with
v
ar
i
o
u
s
k
in
d
s
o
f
d
ata
with
u
n
ce
r
tain
ti
es
[
3
6
]
-
[
3
8
]
.
E
ac
h
b
elief
h
as
a
p
o
s
s
ib
le
co
n
s
eq
u
en
ce
o
f
a
r
u
le
in
a
B
elief
r
u
le
-
b
ase
ex
p
er
t
s
y
s
tem
.
B
elief
r
u
les
s
tr
u
ctu
r
es
th
e
k
n
o
wled
g
e
b
ase
an
d
ev
id
e
n
tial
r
ea
s
o
n
i
n
g
wh
ich
ac
ts
lik
e
n
f
er
en
ce
en
g
i
n
e
o
f
t
h
e
e
x
p
er
t
s
y
s
tem
.
T
h
e
co
m
p
licated
r
elatio
n
s
h
ip
s
b
etwe
en
d
if
f
e
r
en
t
co
n
s
titu
en
t
ca
n
b
e
f
etch
b
y
b
elief
r
u
le
-
b
ase
e
x
p
er
t
s
y
s
tem
wh
ich
ca
n
b
e
d
o
n
e
wit
h
o
r
th
o
d
o
x
I
F
-
T
HE
N
r
u
les.
Fu
zz
y
lo
g
ic
co
m
p
r
is
es
th
r
ee
p
a
r
ts
:
a
co
n
s
eq
u
en
t
p
a
r
t,
b
elief
r
u
le
b
ase
an
d
an
an
tece
d
en
t
p
ar
t.
R
ef
er
e
n
tial
v
alu
es
ca
n
b
e
ass
ig
n
ed
to
ea
ch
an
tece
d
en
t a
n
d
ea
ch
co
n
s
eq
u
en
t
r
ef
er
s
to
th
e
d
eg
r
ee
o
f
b
elief
[
3
9
]
-
[
4
1
]
.
I
n
B
R
B
b
elief
d
eg
r
ee
s
o
f
all
in
p
u
t
s
tr
en
g
th
en
r
eso
lv
in
g
t
h
e
u
n
ce
r
tain
ty
.
L
i
k
e
th
is
,
a
r
u
le
b
ase
is
cr
ea
ted
with
d
eg
r
ee
o
f
b
elief
s
ass
o
ciate
d
with
all
p
o
s
s
ib
le
c
o
u
tco
m
es
o
f
a
r
u
le.
Fo
r
e
x
a
m
p
le,
a
r
u
le
b
ase
is
ca
p
ab
le
o
f
r
em
o
v
in
g
in
c
o
m
p
l
eten
ess
,
v
ag
u
en
ess
f
r
o
m
v
ar
i
o
u
s
v
al
u
es
wh
ich
ar
e
in
v
o
lv
e
d
with
ea
r
th
q
u
ak
e
p
r
ed
ictio
n
.
Fig
u
r
e
3
d
em
o
n
s
tr
ates
th
e
p
r
in
cip
al
p
ar
ts
o
f
th
e
B
elief
R
u
le
B
a
s
e
s
tr
u
ctu
r
e
.
C
o
m
b
in
in
g
all
th
ese
m
ak
es
BRB
f
lawle
s
s
an
d
also
d
esig
n
s
an
E
R
b
ased
s
y
s
tem
wh
ich
is
ca
lled
R
I
ME
R
m
eth
o
d
o
lo
g
y
[
4
2
]
.
E
ac
h
o
f
th
e
c
o
m
p
o
n
en
ts
o
f
th
e
B
R
B
ar
ch
itectu
r
e
is
d
is
cu
s
s
ed
b
elo
w
[
4
3
]
.
−
Pre
s
en
tatio
n
lay
er
:
It
h
elp
s
th
e
u
s
er
s
to
in
ter
ac
t
with
th
e
s
y
s
tem
.
T
h
e
u
s
er
s
o
f
B
R
B
ca
n
b
e
co
n
n
ec
ted
with
th
e
s
y
s
tem
b
y
th
e
in
ter
f
ac
e
cr
e
ated
b
y
th
is
lay
er
.
−
Ap
p
licatio
n
lay
e
r
:
T
h
is
p
ar
t
f
ac
ilit
ate
s
tr
an
s
f
er
r
in
g
d
ata
f
r
o
m
c
o
m
p
u
ter
to
s
y
s
tem
an
d
v
ice
v
er
s
a
.
Ap
p
licatio
n
lay
er
wo
r
k
s
with
th
e
d
ed
u
ctio
n
m
o
to
r
a
n
d
p
r
ep
ar
es
m
o
d
u
le
o
f
th
is
B
R
B
f
r
am
ewo
r
k
.
T
h
e
in
d
u
ctio
n
p
ar
t o
f
BRB
is
cr
ea
t
ed
with
s
o
m
e
elem
en
ts
,
f
o
r
ex
am
p
le,
in
p
u
t c
h
an
g
e,
h
a
n
d
lin
g
d
ev
ices
.
−
Data
p
r
o
ce
s
s
in
g
lay
er
: T
h
is
la
y
er
r
u
le
b
ase
o
f
B
R
B
an
d
th
e
s
en
s
o
r
s
d
ata
.
Fig
u
r
e
3
.
An
in
tellig
en
t BR
B
m
o
d
el
T
h
e
B
R
B
E
S
as
s
es
s
ed
th
e
in
t
en
s
ity
o
f
ea
r
t
h
q
u
a
k
e
.
T
h
is
s
y
s
tem
g
iv
es
th
e
r
esu
lt
c
b
ased
o
n
v
a
r
io
u
s
s
ig
n
s
an
d
s
y
m
p
to
m
s
r
elate
d
with
ea
r
th
q
u
ak
e.
s
ig
n
s
an
d
s
y
m
p
to
m
s
wh
ich
ar
e
f
o
u
n
d
in
e
n
v
ir
o
n
m
en
t.
I
t
is
a
s
y
s
tem
wh
ich
is
ju
s
t
lik
e
p
r
o
d
u
ce
s
as
lik
e
as
h
u
m
an
ex
p
er
t
o
p
in
io
n
an
d
ca
n
r
eso
lv
e
m
an
y
r
ea
l
-
w
o
r
l
d
p
r
o
b
lem
s
u
s
in
g
I
o
T
co
m
p
o
n
e
n
ts
.
W
ir
ele
s
s
s
en
s
o
r
n
etwo
r
k
s
co
llect
r
aw
d
ata
f
r
o
m
th
e
e
n
v
ir
o
n
m
en
t
ca
n
b
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
20
89
-
4
8
6
4
I
n
t J Reco
n
f
ig
u
r
a
b
le
&
E
m
b
ed
d
ed
Sy
s
t
,
Vo
l.
10
,
No
.
2
,
J
u
ly
2
0
2
1
:
149
–
1
5
6
152
u
s
ed
to
ass
ess
th
e
in
ten
s
ity
o
f
ea
r
th
q
u
ak
e
.
W
h
ile
co
llectin
g
s
en
s
o
r
d
ata
m
ain
c
h
allen
g
es
ar
e
ar
e
s
en
s
o
r
en
er
g
y
ef
f
icien
cy
,
m
e
m
o
r
y
ca
p
ac
ity
,
an
d
d
ata
s
to
r
ag
e
m
ec
h
an
is
m
.
L
if
e
tim
e
o
f
th
e
n
etwo
r
k
is
also
im
p
o
r
tan
t
i
n
u
n
v
ar
y
in
g
s
in
k
s
ce
n
ar
io
s
.
Sto
r
ag
e
ca
p
ac
ity
is
also
im
p
o
r
tan
t
wh
ile
co
llectin
g
d
ata
.
A
g
o
o
d
m
o
d
el
f
o
r
s
to
r
in
g
d
ata
ca
n
im
p
r
o
v
e
th
e
q
u
ality
[
4
4
]
.
B
R
B
GUI
is
i
illu
s
tr
ated
i
n
Fig
u
r
e
4
.
T
h
e
b
elief
d
e
g
r
ee
o
f
th
e
lev
el
-
2
p
o
in
ts
o
f
th
e
B
R
B
tr
ee
h
as
b
ee
n
ca
lcu
lated
b
y
tak
in
g
f
u
zz
y
v
alu
e
.
Pre
d
ictio
n
o
f
th
e
ea
r
th
q
u
ak
e
o
f
en
v
ir
o
n
m
e
n
t
h
as
b
ee
n
d
o
n
e
in
ter
m
s
o
f
cr
is
p
v
a
lu
e.
E
ar
th
q
u
ak
e
p
r
ed
ictio
n
b
y
d
if
f
er
en
t e
x
p
er
t sy
s
tem
as sh
o
wn
in
T
ab
le
1
Fig
u
r
e
4
.
B
R
B
E
S GU
I
T
ab
le
1
.
E
ar
th
q
u
ak
e
pr
e
di
ct
i
on
b
y
di
f
f
er
e
nt
ex
p
er
t
s
y
s
t
e
m
Ea
r
t
h
q
u
a
k
e
I
o
T
-
B
R
B
ES
O
u
t
p
u
t
B
R
B
ES
O
u
t
p
u
t
F
u
z
z
y
Lo
g
i
c
O
r
i
g
i
n
a
l
R
e
s
u
l
t
B
e
n
c
h
mar
k
D
a
t
a
E1
7
.
8
7
6
1
7
.
6
5
8
.
0
9
8
.
2
1
E2
6
.
9
7
6
8
7
.
0
1
8
.
0
8
7
.
0
1
E3
8
.
4
9
4
8
.
4
9
4
8
.
1
1
8
.
5
1
E4
7
.
7
1
2
8
7
.
7
7
8
.
0
9
7
.
8
1
E5
8
.
3
5
0
1
8
.
2
7
8
.
1
0
8
.
3
1
E6
7
.
3
3
1
6
6
.
9
8
8
.
1
0
7
.
0
1
E7
8
.
4
4
2
8
.
4
1
8
.
0
9
8
.
4
1
E8
7
.
8
9
3
8
.
1
3
8
.
0
8
8
.
1
1
E9
7
.
0
1
7
4
6
.
9
7
8
.
1
1
7
.
0
1
E1
0
7
.
2
2
9
1
7
.
3
7
8
.
0
9
7
.
4
1
E1
1
7
.
3
6
1
8
7
.
4
3
8
8
.
0
9
7
.
5
1
E1
2
7
.
1
2
4
1
7
.
2
7
8
8
.
0
9
7
.
3
1
E1
3
7
.
2
2
6
3
7
.
2
6
7
8
.
0
9
7
.
3
1
E1
4
7
.
6
3
4
2
7
.
4
5
6
8
.
0
8
7
.
5
1
E1
5
7
.
0
5
1
3
7
.
2
1
4
8
.
0
9
7
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3
1
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6
7
.
0
1
2
7
6
.
9
7
6
8
.
0
8
6
.
8
0
3.
A
S
YST
E
M
S
E
T
UP
T
h
e
f
o
ll
o
win
g
s
o
f
twar
e
an
d
h
ar
d
war
e
a
r
e
u
s
ed
f
o
r
d
esig
n
in
g
in
tellig
en
t
B
R
B
s
y
s
tem
a
s
s
h
o
wn
in
Fig
u
r
e
5
.
T
h
e
h
ar
d
war
e
co
m
p
o
n
en
ts
ar
e:
−
DHT
1
1
,
HC
-
SR
0
4
an
d
E
SP
8
2
6
6
E
X
−
Ar
d
u
in
o
(
UNO)
−
Ar
d
u
in
o
et
h
er
n
et
−
R
F wir
eles
s
en
co
d
er
/d
ec
o
d
e
r
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Reco
n
f
ig
u
r
a
b
le
&
E
m
b
ed
d
ed
Sy
s
t
I
SS
N:
2089
-
4
8
6
4
A
n
in
tern
et
o
f th
in
g
s
b
elief
r
u
le
b
a
s
e
s
ma
r
t sys
tem
to
p
r
ed
ict
ea
r
th
q
u
a
ke
(
Md
.
Ma
h
a
s
h
i
n
Mia
)
153
Used
lan
g
u
ag
e
in
th
e
s
o
f
twar
e
p
ar
t:
−
Ar
d
u
in
o
I
DE
−
PHP
−
Data
b
ase: M
y
SQL
Fig
u
r
e
5
.
R
ea
l a
r
r
a
n
g
em
en
t
o
f
I
n
tellig
en
t BR
B
with
I
o
T
co
m
p
o
n
en
ts
4.
ANALY
Z
E
D
R
E
SU
L
T
S
T
en
r
ea
l
h
is
to
r
ical
d
ata
o
f
d
if
f
er
e
n
t
ea
r
th
q
u
ak
e
an
d
r
ea
l
tim
e
en
v
ir
o
n
m
en
t
d
ata
wh
ich
(
C
HAT
T
OGR
AM
city
o
f
B
a
n
g
lad
esh
)
h
a
v
e
b
ee
n
c
o
llected
u
s
in
g
I
o
T
s
en
s
o
r
n
o
d
es.
T
h
e
co
llected
d
ata
ar
e
th
en
an
aly
ze
d
b
y
B
R
B
s
y
s
tem
.
a.
C
o
llectio
n
o
f
d
ata
Am
o
n
g
th
r
ee
s
en
s
o
r
s
h
av
e
b
e
en
u
s
ed
t
h
e
DHT
1
1
s
en
s
o
r
m
ea
s
u
r
e
s
th
e
air
in
th
e
en
v
ir
o
n
m
en
t
,
an
d
s
p
it
s
o
u
t
a
d
ig
ital
s
ig
n
al
o
n
th
e
d
ata
p
in
,
th
e
HC
-
SR
0
4
s
en
s
o
r
ca
n
co
llect
m
ea
s
u
r
in
g
d
is
tan
ce
,
en
v
ir
o
n
m
en
t
in
ter
ac
tio
n
d
ata
wh
e
r
ea
s
th
e
E
SP
8
2
6
6
E
X
ac
h
iev
es lo
w
p
o
w
er
co
n
s
u
m
p
ti
o
n
d
ata
f
r
o
m
ea
c
h
s
u
b
ject.
b.
Data
an
aly
s
is
an
d
Kn
o
wled
g
e
Dis
co
v
er
y
T
h
ese
v
alu
es
ar
e
tr
an
s
f
er
r
ed
t
o
ass
ess
th
e
ea
r
th
q
u
ak
e
o
f
ea
c
h
ca
s
e
.
R
ec
eiv
er
o
p
er
atin
g
ch
ar
ac
ter
is
tic
(
R
OC
)
cu
r
v
e
h
as
also
b
ee
n
u
s
ed
to
v
er
if
y
th
e
tr
u
s
two
r
th
i
n
ess
o
f
th
e
r
esu
lt
.
T
h
e
p
er
f
o
r
m
a
n
ce
o
f
th
e
p
r
o
p
o
s
ed
s
y
s
tem
is
ca
lcu
lated
u
s
in
g
th
e
ar
ea
u
n
d
e
r
cu
r
v
e
(
AUC).
I
t
c
an
b
e
s
ee
n
th
at
AUC
o
f
th
e
p
r
o
p
o
s
ed
s
y
s
tem
is
h
ig
h
er
th
an
f
u
zz
y
s
y
s
tem
.
Fig
u
r
e
6
s
h
o
ws
R
OC
cu
r
v
es
wh
ich
ar
e
p
er
f
o
r
m
an
ce
o
f
th
e
in
tellig
en
t
I
o
T
BRB
ES
,
B
R
B
B
E
S,
o
r
ig
in
al
an
d
f
u
zz
y
s
y
s
tem
.
T
ab
le
2
s
h
o
ws
th
e
A
UC
f
o
r
in
tellig
en
t
BRB
E
S
wi
th
I
o
t
is
h
ig
h
er
th
an
an
y
o
f
o
th
er
ex
p
er
t sy
s
tem
.
Fig
u
r
e.
6
.
R
OC
cu
r
v
e
r
ep
r
esen
tin
g
o
r
ig
in
al
d
ata,
I
o
T
B
R
B
E
S
,
B
R
B
E
S a
n
d
f
u
zz
y
l
o
g
ic
s
en
s
o
r
s
ca
n
co
llect
r
ea
l e
n
v
ir
o
n
m
en
t
d
ata
f
o
r
m
ea
ch
s
u
b
ject
s
ep
ar
ately
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
20
89
-
4
8
6
4
I
n
t J Reco
n
f
ig
u
r
a
b
le
&
E
m
b
ed
d
ed
Sy
s
t
,
Vo
l.
10
,
No
.
2
,
J
u
ly
2
0
2
1
:
149
–
1
5
6
154
TA
B
LE
2
.
A
r
e
a
un
d
er
c
ur
ve
(
A
U
C
)
of
di
f
f
e
r
e
nt
s
y
s
te
m
S
y
st
e
m
AUC
I
n
t
e
l
l
i
g
e
n
t
B
R
B
ES w
i
t
h
I
o
T
0
.
9
5
3
B
R
B
ES w
i
t
h
o
u
t
I
o
T
0
.
9
3
3
O
r
i
g
i
n
a
l
1
.
0
0
0
F
u
z
z
y
Lo
g
i
c
0
.
9
0
0
5.
C
O
N
C
L
U
S
I
O
N
In
th
is
wo
r
k
,
we
d
esig
n
ed
an
I
n
tellig
en
t
B
R
B
s
y
s
tem
with
I
o
T
in
teg
r
atio
n
to
p
r
e
d
ict
th
e
in
ten
s
ity
o
f
ar
th
q
u
ak
e
.
No
t
o
n
ly
t
h
is
s
y
s
t
em
ca
n
r
eso
lv
e
v
a
r
io
u
s
u
n
ce
r
tain
ty
wh
ich
d
o
ex
is
t
in
en
v
ir
o
n
m
e
n
t
b
u
t
also
in
clu
d
es
cr
iter
io
n
s
wh
ich
h
as
an
ab
ilit
y
to
r
ep
r
esen
t
k
n
o
wle
d
g
e.
T
h
e
f
in
al
r
esu
lt
f
r
o
m
I
n
t
ellig
en
t
B
R
B
with
I
o
T
in
teg
r
atio
n
is
o
u
tp
er
f
o
r
m
s
th
e
B
R
B
E
S a
n
d
f
u
zz
y
b
ased
s
y
s
tem
wh
ich
m
ea
n
s
th
is
s
y
s
te
m
is
r
o
b
u
s
t a
n
d
ca
n
b
e
u
s
ed
to
p
r
ed
ict
ea
r
th
q
u
ak
e
with
h
ig
h
er
ac
cu
r
ac
y
.
I
n
f
u
t
u
r
e,
m
o
r
e
s
en
s
o
r
s
ca
n
b
e
ad
d
ed
to
im
p
r
o
v
e
th
e
co
n
s
is
ten
cy
an
d
ac
c
u
r
ac
y
o
f
E
ar
th
q
u
ak
e
p
r
e
d
ictio
n
b
y
th
e
ex
is
t
in
g
s
y
s
tem
.
RE
F
E
R
E
NC
E
S
[1
]
Jo
h
n
B.
Ru
n
d
le,
Do
n
a
ld
L
.
T
u
rc
o
tt
e
,
Wi
ll
iam
K
lei
n
,
“
G
e
o
c
o
m
p
lex
it
y
a
n
d
t
h
e
P
h
y
sic
s
o
f
Earth
q
u
a
k
e
s
Ge
o
p
h
y
sic
a
l
M
o
n
o
g
ra
p
h
S
e
ries
,
”
first
e
d
it
i
o
n
,
Wi
ley
-
AG
U,
2
0
0
0
.
[2
]
C.
R.
Allen
,
W.
E
d
wa
rd
s,
W.
J
.
Ha
ll
,
L.
Kn
o
p
o
ff
,
C
.
B.
Ra
lei
g
h
,
C.
H
.
S
a
v
it
,
M
.
N.
T
o
k
so
z
,
R.
H
.
T
u
rn
e
r,
“
P
re
d
ictin
g
e
a
rth
q
u
a
k
e
s:
a
sc
ien
t
ifi
c
a
n
d
tec
h
n
ica
l
e
v
a
lu
a
ti
o
n
-
wi
t
h
imp
li
c
a
ti
o
n
s
f
o
r
so
c
iety
,
P
a
n
e
l
o
n
Earth
q
u
a
k
e
P
re
d
ictio
n
o
f
t
h
e
Co
m
m
it
tee
o
n
S
e
ism
o
lo
g
y
,
”
As
se
m
b
ly
o
f
M
a
t
h
e
m
a
ti
c
a
l
a
n
d
P
h
y
sic
a
l
S
c
ien
c
e
s,
N
a
ti
o
n
a
l
Re
se
a
rc
h
Co
u
n
c
il
,
US
Na
ti
o
n
a
l
Ac
a
d
e
m
y
o
f
S
c
ien
c
e
s,
Was
h
in
g
to
n
,
DC,
1
9
7
6
.
[3
]
P
.
K.
D
u
tt
a
,
O.
P
.
M
ish
ra
,
M
.
K.
Na
sk
a
r,
“
De
c
isio
n
a
n
a
l
y
sis
f
o
r
e
a
rth
q
u
a
k
e
p
re
d
icti
o
n
m
e
th
o
d
o
l
o
g
ies
:
f
u
z
z
y
in
fe
re
n
c
e
a
lg
o
ri
th
m
f
o
r
tr
u
st
v
a
l
i
d
a
ti
o
n
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Co
mp
u
ter
Ap
p
li
c
a
ti
o
n
s,
v
o
l.
4
5
,
n
o
.
4
,
p
p
.
1
3
-
2
0
,
2
0
1
2
.
[4
]
Dm
o
ws
k
a
R,
M
.
W
y
ss
,
“
Earth
q
u
a
k
e
p
re
d
ictio
n
;
S
tate
o
f
t
h
e
a
rt
,
(P
a
g
e
o
p
h
T
o
p
ica
l
V
o
lu
m
e
s),”
Birk
h
ä
u
se
r;
1
st
e
d
it
io
n
Ju
n
e
1
6
,
1
9
9
9
.
[5
]
As
a
d
a
,
T,
“
Earth
q
u
a
k
e
p
re
d
icti
o
n
tec
h
n
iq
u
e
s; T
h
e
ir
a
p
p
li
c
a
ti
o
n
,
i
n
Ja
p
a
n
,
”
Un
iv
e
rsi
t
y
o
f
To
k
y
o
P
re
ss
,
1
9
8
2
.
[6
]
Dra
g
o
n
i
M
,
E.
Bo
sc
h
i,
Et
t
o
re
M
a
jo
ra
n
a
,
“
Earth
q
u
a
k
e
p
re
d
ictio
n
:
p
ro
c
e
e
d
in
g
s
o
f
t
h
e
In
tern
a
ti
o
n
a
l
S
c
h
o
o
l
o
f
S
o
li
d
Earth
G
e
o
p
h
y
sic
s,
5
th
c
o
u
rse
,
”
Il
C
ig
n
o
G
a
li
leo
G
a
li
lei
e
d
izio
n
i
d
i
a
rte e sc
ien
z
a
,
Ro
m
e
,
1
9
9
2
.
[7
]
Işik
a
ra
,
A.
M
e
te,
V
o
g
e
l,
An
d
re
a
s,
“
M
u
lt
id
isc
ip
li
n
a
ry
a
p
p
r
o
a
c
h
t
o
e
a
rth
q
u
a
k
e
p
re
d
ictio
n
,
”
I
n
ter
n
a
t
i
o
n
a
l
S
y
mp
o
si
u
m
o
n
E
a
rth
q
u
a
k
e
Pre
d
ictio
n
i
n
t
h
e
No
rth
A
n
a
to
li
a
n
Fa
u
lt
Z
o
n
e
Z
o
n
e
,
h
e
ld
in
Ista
n
b
u
l,
M
a
rc
h
-
Ap
ril
,
1
9
8
0
.
[8
]
S
h
i
h
-
ju
n
g
M
,
“
I
n
tro
d
u
c
ti
o
n
to
e
a
rth
q
u
a
k
e
p
re
d
ictio
n
i
n
C
h
in
a
,
”
T
i
c
h
e
n
c
h
i
u
p
a
n
sh
e
P
u
b
,
P
e
i
-
c
h
in
g
,
Ch
in
a
,
1
9
9
3
.
[9
]
K
isslin
g
e
r
C,
“
P
ra
c
ti
c
a
l
Ap
p
r
o
a
c
h
e
s
to
Eart
h
q
u
a
k
e
P
re
d
ictio
n
a
n
d
Warn
i
n
g
,
”
Eo
s
,
T
r
a
n
s
a
c
ti
o
n
s
Ame
ric
a
n
Ge
o
p
h
y
sic
a
l
U
n
io
n
,
v
o
l
.
6
5
,
n
o
.
2
4
,
p
.
3
9
8
,
1
9
8
4
.
[1
0
]
G
u
h
a
S
.
K,
P
a
twa
rd
h
a
n
A.
M
,
“
Earth
q
u
a
k
e
p
re
d
icti
o
n
:
p
re
se
n
t
sta
tu
s
:
p
ro
c
e
e
d
in
g
s
o
f
sy
m
p
o
si
u
m
h
e
ld
a
t
th
e
De
p
a
rtme
n
t
o
f
G
e
o
lo
g
y
,
”
U
P
u
n
e
,
In
d
ia :
Un
iv
e
rsity
o
f
P
o
o
n
a
,
1
9
8
8
.
[1
1
]
M
.
S
.
H
o
ss
a
in
,
A.
Al
Ha
sa
n
,
S
.
G
u
h
a
,
a
n
d
K.
A
n
d
e
rss
o
n
,
“
A
Be
li
e
f
Ru
le
Ba
se
d
Ex
p
e
rt
S
y
ste
m
to
P
re
d
ict
Earth
q
u
a
k
e
u
n
d
e
r
Un
c
e
rtain
t
y
,
”
J
o
u
rn
a
l
o
f
W
ire
les
s
M
o
b
il
e
Ne
two
rk
s,
Ub
iq
u
it
o
u
s
Co
mp
u
ti
n
g
,
a
n
d
De
p
e
n
d
a
b
le
Ap
p
li
c
a
ti
o
n
s (Jo
W
UA)
,
v
o
l.
9
,
n
o
.
2
,
p
p
.
2
6
-
41
,
J
u
n
e
2
0
1
8
.
[1
2
]
G
.
V.
Ota
ri,
R.
V.
Ku
lk
a
rn
i,
“
A
re
v
iew
o
f
a
p
p
li
c
a
ti
o
n
o
f
d
a
ta
m
in
in
g
in
e
a
rth
q
u
a
k
e
p
re
d
icti
o
n
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Co
m
p
u
ter
S
c
ien
c
e
a
n
d
In
fo
rm
a
ti
o
n
,
v
o
l.
3
,
n
o
.
2
,
p
p
.
3
5
7
0
-
3
5
7
4
,
2
0
1
2
.
[1
3
]
S
.
A
.
P
u
li
n
e
ts,
“
Io
n
o
sp
h
e
ric
p
re
c
u
rso
rs
o
f
e
a
rth
q
u
a
k
e
s;
re
c
e
n
t
a
d
v
a
n
c
e
s
i
n
t
h
e
o
r
y
a
n
d
p
ra
c
ti
c
a
l
a
p
p
l
ica
ti
o
n
s,
”
T
e
rr
e
stria
l
At
mo
sp
h
e
ric
a
n
d
Oc
e
a
n
ic
S
c
ien
c
e
s,
v
o
l.
1
5
,
n
o
.
3
,
p
p
.
4
1
3
-
4
3
6
,
2
0
0
4
.
[1
4
]
K.
R.
Lak
sh
m
i,
Y.
Na
g
e
sh
,
M
.
V.
Krish
n
a
,
“
An
a
ly
sis
o
n
p
re
d
ict
in
g
e
a
r
th
q
u
a
k
e
s
t
h
ro
u
g
h
a
n
a
b
n
o
rm
a
l
b
e
h
a
v
io
r
o
f
a
n
ima
ls,”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
S
c
ien
ti
f
ic &
En
g
in
e
e
rin
g
Res
e
a
r
c
h
,
v
o
l.
5
,
n
o
.
4
,
p
p
.
8
4
5
-
8
5
7
,
Ap
r
il
2
0
1
4
.
[1
5
]
A.
An
d
a
li
b
,
M
.
Zare
,
F
.
Atry
,
“
A
fu
z
z
y
e
x
p
e
rt
s
y
ste
m
fo
r
e
a
rth
q
u
a
k
e
p
re
d
icti
o
n
,
c
a
se
stu
d
y
:
th
e
z
a
g
ro
s
ra
n
g
e
,
”
a
rXiv
:1
6
1
0
.
0
4
0
2
8
v
2
,
M
a
y
2
0
1
7
.
[On
li
n
e
]
Av
a
i
lab
le;
h
tt
p
s:/
/arx
iv
.
o
rg
/ab
s/1
6
1
0
.
0
4
0
2
8
.
[1
6
]
A.
Ik
ra
m
,
U.
Qa
m
a
r,
“
A
ru
le
-
b
a
se
d
e
x
p
e
rt
sy
ste
m
fo
r
e
a
rth
q
u
a
k
e
p
re
d
ictio
n
,
”
J
o
u
r
n
a
l
o
f
I
n
telli
g
e
n
t
In
f
o
rm
a
ti
o
n
S
y
ste
ms
,
v
o
l.
4
3
,
n
o
.
2
,
p
p
.
2
0
5
-
2
3
0
,
Oc
t
o
b
e
r
2
0
1
4
.
[1
7
]
R.
Bo
d
y
,
“
Cli
n
ica
l
d
e
c
isio
n
r
u
les
to
e
n
a
b
le
e
x
c
lu
sio
n
o
f
a
c
u
te
c
o
r
o
n
a
ry
sy
n
d
r
o
m
e
s
in
t
h
e
e
m
e
rg
e
n
c
y
d
e
p
a
rtme
n
t
p
a
ti
e
n
ts wi
t
h
c
h
e
st p
a
i
n
,
”
P
h
.
D.
d
isse
rtatio
n
,
M
a
n
c
h
e
ste
r
M
e
tro
p
o
l
i
tan
Un
i
v
e
rsity
,
2
0
0
9
.
[1
8
]
A.
Ik
ra
m
,
U.
Qa
m
a
r,
“
De
v
e
lo
p
in
g
a
n
e
x
p
e
rt
s
y
ste
m
b
a
se
d
o
n
a
ss
o
c
iatio
n
ru
les
a
n
d
p
re
d
ica
te
l
o
g
ic
fo
r
e
a
rth
q
u
a
k
e
p
re
d
ictio
n
,
”
K
n
o
wled
g
e
-
Ba
se
d
S
y
ste
ms
,
v
o
l.
7
5
,
p
p
.
8
7
-
1
0
3
,
F
e
b
ru
a
ry
2
0
1
5
.
[1
9
]
S
.
S
a
b
a
,
F
.
Ah
sa
n
,
S
.
M
o
h
si
n
,
“
Ba
t
-
a
n
n
b
a
se
d
e
a
rth
q
u
a
k
e
p
re
d
ictio
n
f
o
r
p
a
k
istan
re
g
i
o
n
,
”
M
e
t
h
o
d
o
li
g
e
s
a
n
d
Ap
p
li
c
a
ti
o
n
,
v
o
l.
2
1
,
n
o
.
1
9
,
p
p
.
5
8
0
5
-
5
8
1
3
,
Oc
to
b
e
r
2
0
1
7
.
[2
0
]
Yo
n
g
x
ian
Z
h
a
n
g
,
F
u
wa
n
g
G
a
o
,
Jia
n
ju
n
P
in
g
,
Xia
o
tao
Z
h
a
n
g
,
“
A
sy
n
th
e
ti
c
m
e
th
o
d
fo
r
e
a
rth
q
u
a
k
e
p
re
d
ictio
n
b
y
m
u
lt
id
isc
ip
li
n
a
r
y
d
a
ta,”
N
a
tu
ra
l
Ha
za
rd
s
,
v
o
l
.
6
9
,
n
o
.
2
,
p
.
1
1
9
9
-
1
2
0
9
,
No
v
e
m
b
e
r
2
0
1
1
.
[2
1
]
S
.
P
a
ro
lai,
“
Re
m
o
te se
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