I
nte
rna
t
io
na
l J
o
urna
l o
f
E
lect
rica
l a
nd
Co
m
pu
t
er
E
ng
ineering
(
I
J
E
CE
)
Vo
l.
1
6
,
No
.
1
,
Feb
r
u
ar
y
20
2
6
,
p
p
.
535
~
544
I
SS
N:
2088
-
8
7
0
8
,
DOI
: 1
0
.
1
1
5
9
1
/ijece.
v
1
6
i
1
.
pp
5
3
5
-
5
4
4
535
J
o
ur
na
l ho
m
ep
a
g
e
:
h
ttp
:
//ij
ec
e.
ia
esco
r
e.
co
m
Interne
t
o
f
things
heatstrok
e
det
ect
io
n device
Swa
t
i P
a
t
il,
Rug
v
ed
Ra
v
ind
ra
K
ulk
a
rni
,
K
a
rish
m
a
P
ra
s
ha
nt
Sa
lun
k
he
,
Vidit
P
ra
v
in Ag
ra
wa
l
D
e
p
a
r
t
me
n
t
o
f
El
e
c
t
r
o
n
i
c
s a
n
d
T
e
l
e
c
o
mm
u
n
i
c
a
t
i
o
n
,
P
i
m
p
r
i
C
h
i
n
c
h
w
a
d
C
o
l
l
e
g
e
o
f
E
n
g
i
n
e
e
r
i
n
g
,
P
u
n
e
,
I
n
d
i
a
Art
icle
I
nfo
AB
S
T
RAC
T
A
r
ticle
his
to
r
y:
R
ec
eiv
ed
Ma
y
2
9
,
2
0
2
4
R
ev
is
ed
Au
g
7
,
2
0
2
5
Acc
ep
ted
Dec
1
2
,
2
0
2
5
Th
e
in
c
re
a
sin
g
fre
q
u
e
n
c
y
a
n
d
in
t
e
n
sity
o
f
h
e
a
t
wa
v
e
s
d
u
e
to
c
l
ima
te
c
h
a
n
g
e
u
n
d
e
rsc
o
re
th
e
c
rit
ica
l
n
e
e
d
fo
r
p
ro
a
c
ti
v
e
m
e
a
su
re
s
to
p
re
v
e
n
t
h
e
a
t
stro
k
e
,
a
li
fe
-
th
re
a
ten
in
g
c
o
n
d
it
i
o
n
a
ffe
c
ti
n
g
in
d
i
v
id
u
a
ls
o
f
a
ll
d
e
m
o
g
ra
p
h
ics
,
wit
h
v
u
l
n
e
ra
b
il
it
y
a
m
o
n
g
th
e
e
l
d
e
rly
a
n
d
o
u
t
d
o
o
r
w
o
rk
e
rs.
I
n
re
sp
o
n
se
to
t
h
is
p
re
ss
in
g
p
u
b
li
c
h
e
a
lt
h
c
h
a
ll
e
n
g
e
,
we
p
re
se
n
t
th
e
in
tern
e
t
o
f
t
h
i
n
g
s
(
Io
T
)
b
a
se
d
h
e
a
t
stro
k
e
p
re
v
e
n
ti
o
n
d
e
v
ice
,
a
c
o
m
p
re
h
e
n
siv
e
so
l
u
ti
o
n
lev
e
ra
g
in
g
a
su
it
e
o
f
se
n
so
rs
in
c
lu
d
in
g
tem
p
e
ra
tu
re
,
a
tmo
sp
h
e
ric,
p
u
lse
ra
t
e
,
b
lo
o
d
p
re
ss
u
re
,
a
n
d
g
y
r
o
sc
o
p
e
se
n
s
o
r
s,
se
a
m
les
sly
in
teg
ra
ted
with
a
n
ES
P
3
2
m
icro
c
o
n
tro
ll
e
r
a
n
d
F
ireb
a
se
'
s
r
e
a
l
-
ti
m
e
d
a
tab
a
se
.
Ce
n
tral
to
th
e
d
e
v
ice
'
s
fu
n
c
ti
o
n
a
li
t
y
is a ran
d
o
m
fo
re
st cla
ss
ifi
e
r
m
a
c
h
in
e
lea
rn
in
g
m
o
d
e
l,
t
ra
in
e
d
o
n
h
isto
rica
l
d
a
ta
a
n
d
u
se
r
-
sp
e
c
ifi
c
p
a
ra
m
e
ters
,
to
a
c
c
u
ra
tely
p
re
d
ict
th
e
li
k
e
li
h
o
o
d
o
f
h
e
a
t
stro
k
e
o
n
se
t
in
re
a
l
-
ti
m
e
.
Ri
g
o
r
o
u
s
tes
ti
n
g
a
n
d
v
a
li
d
a
ti
o
n
p
ro
c
e
d
u
re
s
d
e
m
o
n
stra
te
th
e
d
e
v
ice
'
s
h
ig
h
a
c
c
u
ra
c
y
a
n
d
re
li
a
b
il
it
y
i
n
se
n
so
r
m
e
a
su
re
m
e
n
ts,
d
a
ta
tra
n
sm
issio
n
,
a
n
d
m
o
d
e
l
p
e
rf
o
rm
a
n
c
e
.
Th
e
a
c
c
o
m
p
a
n
y
in
g
we
b
-
b
a
se
d
d
a
sh
b
o
a
rd
p
r
o
v
i
d
e
s
u
se
rs
wit
h
i
n
tu
i
ti
v
e
a
c
c
e
s
s
to
th
e
ir
c
u
rre
n
t
h
e
a
lt
h
m
e
tri
c
s,
i
n
c
lu
d
in
g
tem
p
e
ra
tu
re
,
h
u
m
id
it
y
,
b
lo
o
d
p
re
ss
u
re
,
p
u
lse
ra
te,
a
n
d
p
e
rso
n
a
li
z
e
d
p
re
d
i
c
ti
o
n
s
fo
r
h
e
a
t
stro
k
e
ris
k
.
T
h
is
i
n
n
o
v
a
ti
v
e
d
e
v
ice
se
rv
e
s
a
s
a
v
e
rsa
ti
le
to
o
l
fo
r
p
u
b
li
c
h
e
a
lt
h
a
g
e
n
c
ies
,
o
c
c
u
p
a
ti
o
n
a
l
sa
fe
ty
p
ro
g
ra
m
s,
a
n
d
in
d
iv
i
d
u
a
ls
se
e
k
in
g
t
o
sa
fe
g
u
a
r
d
t
h
e
ir
we
ll
-
b
e
in
g
i
n
t
h
e
fa
c
e
o
f
e
sc
a
latin
g
tem
p
e
ra
tu
re
s a
n
d
c
li
m
a
te u
n
c
e
rtain
t
ies
.
K
ey
w
o
r
d
s
:
C
lim
ate
ch
an
g
e
ad
ap
tatio
n
Hea
t stro
k
e
p
r
ev
e
n
tio
n
I
n
ter
n
et
o
f
th
in
g
s
Pu
b
lic
h
ea
lth
in
ter
v
e
n
tio
n
R
an
d
o
m
f
o
r
est tr
ee
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
ing
A
uth
o
r
:
Swati Patil
Dep
ar
tm
en
t
o
f
E
lectr
o
n
ics an
d
T
elec
o
m
m
u
n
icatio
n
,
Pimp
r
i
C
h
in
ch
wad
C
o
lleg
e
o
f
E
n
g
in
e
er
in
g
Pu
n
e,
I
n
d
ia
E
m
ail:
s
watin
ak
s
h
tr
am
@
g
m
ail.
co
m
1.
I
NT
RO
D
UCT
I
O
N
I
t
is
cr
itical
to
tak
e
p
r
e
v
en
tati
v
e
ac
tio
n
to
av
o
i
d
h
ea
t
-
r
elate
d
d
is
ea
s
es,
esp
ec
ially
h
ea
t
s
tr
o
k
e,
in
ar
ea
s
wh
er
e
r
is
in
g
tem
p
er
atu
r
es
an
d
u
n
s
tab
le
wea
th
er
p
atter
n
s
ar
e
m
ajo
r
co
n
ce
r
n
s
[
1
]
.
Hea
twav
e
f
r
eq
u
en
cy
a
n
d
in
ten
s
ity
ar
e
in
cr
ea
s
in
g
d
u
e
t
o
clim
ate
ch
an
g
e,
wh
ic
h
em
p
h
asizes
th
e
u
r
g
e
n
t
n
ee
d
f
o
r
p
r
ev
en
tativ
e
h
ea
lth
m
o
n
ito
r
in
g
an
d
m
itig
atin
g
m
e
asu
r
es
[
2
]
,
[
3
]
.
I
n
ad
d
itio
n
to
h
av
in
g
an
a
d
v
er
s
e
ef
f
ec
t
o
n
p
e
o
p
le
o
f
all
ag
es
an
d
h
ea
lth
co
n
d
itio
n
s
,
h
ea
t
-
r
elate
d
is
s
u
es
al
s
o
h
av
e
a
m
ajo
r
n
eg
ativ
e
ec
o
n
o
m
ic
im
p
ac
t,
es
p
ec
ially
o
n
o
u
td
o
o
r
wo
r
k
er
s
lik
e
f
ar
m
e
r
s
an
d
co
n
s
tr
u
ctio
n
wo
r
k
er
s
wh
o
ar
e
ess
en
tial
to
th
e
g
r
o
wth
o
f
th
e
n
atio
n
al
ec
o
n
o
m
y
[
4
]
,
[
5
]
.
T
r
a
d
itio
n
al
p
r
e
v
en
tiv
e
tec
h
n
iq
u
es
f
r
e
q
u
en
tly
f
all
s
h
o
r
t
in
ter
m
s
o
f
o
f
f
er
in
g
p
r
o
m
p
t
in
s
ig
h
ts
an
d
th
o
r
o
u
g
h
r
is
k
ass
es
s
m
en
ts
[
6
]
,
[
7
]
.
T
o
s
o
lv
e
th
ese
co
m
p
lex
is
s
u
es,
cr
ea
tiv
e
s
o
lu
tio
n
s
u
tili
zin
g
cu
ttin
g
-
ed
g
e
tec
h
n
o
l
o
g
y
lik
e
clo
u
d
-
b
ased
p
latf
o
r
m
s
,
s
en
s
o
r
in
teg
r
atio
n
,
m
ac
h
in
e
l
ea
r
n
in
g
(
ML
)
,
a
n
d
in
ter
n
et
o
f
th
in
g
s
(
I
o
T
)
ar
e
r
eq
u
ir
ed
[
1
]
,
[
4
]
,
[
8
]
.
T
o
m
ee
t
th
is
n
ee
d
,
th
is
e
n
d
ea
v
o
r
will
cr
ea
te
an
d
im
p
lem
e
n
t
an
I
o
T
-
b
ased
h
ea
t
s
tr
o
k
e
p
r
ev
en
tio
n
d
ev
ice
th
at
co
m
b
i
n
es
cu
ttin
g
-
ed
g
e
tec
h
n
o
lo
g
y
f
o
r
r
ea
l
-
tim
e
m
o
n
ito
r
in
g
,
p
r
ed
i
ctiv
e
an
aly
tics
,
an
d
cu
s
to
m
ized
tr
ea
tm
e
n
ts
[
1
]
,
[
7
]
–
[
9
]
.
T
h
e
d
e
v
ice'
s
d
ata
co
lle
ctin
g
m
ec
h
a
n
is
m
is
b
ased
o
n
s
en
s
o
r
in
te
g
r
atio
n
,
m
ak
in
g
it
p
o
s
s
ib
le
to
co
n
ti
n
u
o
u
s
ly
g
ath
e
r
im
p
o
r
tan
t
h
ea
lth
in
d
icato
r
s
t
h
at
p
o
in
t
to
co
n
ce
r
n
s
ass
o
ciate
d
with
h
ea
t.
I
n
tan
d
em
with
th
e
co
l
lectio
n
o
f
s
en
s
o
r
d
ata,
th
e
p
r
o
ject
lev
er
ag
es
m
ac
h
in
e
lear
n
in
g
alg
o
r
ith
m
s
to
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
7
0
8
I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
1
6
,
No
.
1
,
Feb
r
u
ar
y
20
2
6
:
5
3
5
-
544
536
in
s
tan
tly
an
aly
ze
a
n
d
c
o
m
p
r
eh
en
d
th
e
v
ast
am
o
u
n
ts
o
f
s
en
s
o
r
d
ata
s
tr
ea
m
s
.
A
r
an
d
o
m
f
o
r
e
s
t
class
if
ier
m
o
d
el,
wh
ich
is
well
r
esp
ec
ted
f
o
r
its
r
esil
ien
ce
an
d
ad
a
p
tab
ilit
y
,
is
u
tili
ze
d
.
Mo
r
e
o
v
er
,
a
co
m
p
le
x
o
n
lin
e
ap
p
licatio
n
th
at
m
ak
es
u
s
e
o
f
th
e
R
ea
ct
f
r
am
ewo
r
k
h
as
b
ee
n
cr
ea
ted
t
o
g
iv
e
u
s
er
s
ea
s
y
ac
ce
s
s
to
th
eir
h
ea
lth
d
ata
an
d
p
r
ed
ictiv
e
in
s
ig
h
ts
[
1
0
]
,
[
1
1
]
.
T
h
e
u
s
er
i
n
ter
f
ac
e
is
t
h
is
o
n
lin
e
ap
p
licatio
n
,
wh
ich
p
r
o
v
id
es
a
v
is
u
ally
ap
p
ea
lin
g
d
ash
b
o
a
r
d
with
r
ea
l
-
tim
e
h
ea
lth
p
ar
am
eter
s
i
n
clu
d
in
g
tem
p
er
atu
r
e
,
h
u
m
id
ity
,
b
lo
o
d
p
r
ess
u
r
e,
a
n
d
p
u
ls
e
r
ate
t
o
g
eth
er
with
in
d
iv
i
d
u
alize
d
f
o
r
ec
asts
o
f
th
e
r
is
k
o
f
h
ea
t
s
tr
o
k
e
.
T
h
e
o
n
lin
e
ap
p
licatio
n
m
ak
es
u
s
e
o
f
Fire
b
ase'
s
r
ea
l
-
tim
e
d
atab
ase
to
p
r
o
v
i
d
e
s
m
o
o
th
d
ata
s
y
n
ch
r
o
n
izatio
n
an
d
clo
u
d
s
to
r
ag
e,
g
u
ar
a
n
teein
g
d
ep
en
d
a
b
ilit
y
an
d
ac
ce
s
s
ib
ilit
y
o
n
a
v
ar
iety
o
f
d
e
v
ices a
n
d
s
y
s
tem
s
[
1
2
]
.
C
o
n
s
id
er
in
g
clim
ate
ch
an
g
e,
th
e
I
o
T
-
b
ased
h
ea
t
s
tr
o
k
e
p
r
e
v
en
tio
n
d
ev
ice
o
f
f
er
s
a
co
m
p
r
eh
en
s
iv
e
way
to
r
ed
u
ce
th
e
r
is
k
s
o
f
h
e
at
-
r
elate
d
d
is
ea
s
es,
m
ar
k
in
g
a
tu
r
n
in
g
p
o
in
t
i
n
p
r
o
ac
tiv
e
h
e
alth
m
o
n
ito
r
in
g
an
d
h
ea
t
s
tr
o
k
e
p
r
ev
en
ti
o
n
.
I
ts
in
n
o
v
ativ
e
d
esig
n
in
co
r
p
o
r
ates
s
t
ate
-
of
-
th
e
-
a
r
t
tech
n
o
lo
g
ies
lik
e
m
ac
h
in
e
lea
r
n
in
g
,
I
o
T
,
s
en
s
o
r
in
teg
r
atio
n
,
R
ea
ctJS
,
an
d
Fire
b
ase
to
s
o
lv
e
u
r
g
e
n
t
p
u
b
lic
h
ea
lth
is
s
u
es
in
a
b
r
illi
an
t
an
d
in
n
o
v
ativ
e
wa
y
.
W
ith
p
er
s
is
ten
t
r
esear
ch
,
d
ev
elo
p
m
en
t,
a
n
d
co
o
p
er
atio
n
,
th
e
g
o
al
is
to
m
ak
e
a
s
ig
n
if
ican
t
co
n
tr
ib
u
tio
n
to
g
lo
b
al
h
ea
lth
an
d
s
af
ety
,
p
r
o
tectin
g
p
eo
p
l
e'
s
h
ea
lth
in
a
wo
r
ld
wh
er
e
clim
ate
ch
an
g
e
is
u
n
p
r
e
d
ictab
le
[
1
3
]
.
T
h
e
liter
atu
r
e
co
v
er
s
wea
r
ab
le
tech
n
o
l
o
g
y
with
s
en
s
o
r
s
to
m
o
n
ito
r
v
ital
s
ig
n
s
lik
e
b
o
d
y
te
m
p
er
atu
r
e,
h
ea
r
t
r
ate,
an
d
s
wea
t
r
ate
f
o
r
h
ea
t
s
tr
o
k
e
d
etec
tio
n
[
1
4
]
,
[
1
5
]
I
o
T
-
b
ased
s
y
s
tem
s
tr
ac
k
p
h
y
s
io
lo
g
ical
a
n
d
en
v
ir
o
n
m
en
tal
d
ata,
f
o
r
ec
ast
h
ea
t
s
tr
o
k
e
r
is
k
,
an
d
p
r
o
v
id
e
aler
ts
[
8
]
,
[
1
6
]
.
Ad
v
an
ce
d
d
at
a
an
aly
s
is
m
eth
o
d
s
lik
e
p
er
s
o
n
alize
d
r
is
k
m
o
d
els
an
d
a
n
o
m
aly
d
etec
tio
n
alg
o
r
ith
m
s
ar
e
u
s
ed
f
o
r
ea
r
ly
s
y
m
p
to
m
d
etec
tio
n
[
1
]
,
[
5
]
.
I
n
f
r
ar
e
d
ca
m
er
as
an
d
t
h
er
m
al
im
ag
in
g
d
etec
t
h
ig
h
b
o
d
y
tem
p
er
atu
r
es
[
1
0
]
.
T
h
e
im
p
o
r
tan
ce
o
f
tem
p
er
atu
r
e
co
n
tr
o
l
an
d
ef
f
icien
t
co
o
lin
g
tech
n
iq
u
es
in
h
ea
ts
tr
o
k
e
m
an
ag
em
en
t
is
em
p
h
a
s
ized
[
5
]
.
Sp
ec
if
ic
ap
p
licatio
n
s
in
clu
d
e
s
y
s
tem
s
f
o
r
v
e
h
icles,
wo
r
k
p
lace
s
,
eld
er
ly
,
an
d
ac
tiv
e
in
d
i
v
id
u
als
[
4
]
,
[
5
]
.
C
o
m
b
i
n
in
g
p
h
y
s
io
lo
g
ical
an
d
en
v
ir
o
n
m
en
tal
d
ata,
in
clu
d
in
g
d
y
n
am
ic
h
ea
t
m
ap
s
,
is
cr
u
cial
f
o
r
ac
c
u
r
ate
r
is
k
ass
es
s
m
en
t
an
d
p
r
ev
e
n
tio
n
[
1
2
]
,
[
1
7
]
–
[
1
9
]
.
Oth
er
n
o
tab
le
wo
r
k
s
in
clu
d
e
a
f
lex
ib
le
p
atch
f
o
r
h
ea
t
s
tr
ess
m
o
n
ito
r
in
g
[
1
2
]
,
s
tu
d
y
in
g
en
v
ir
o
n
m
en
tal
f
ac
to
r
s
an
d
s
tr
o
k
e
r
is
k
[
1
6
]
,
[
2
0
]
,
a
n
d
a
s
m
ar
twatch
-
b
ased
s
y
s
tem
[
2
1
]
,
[
2
2
]
.
2.
M
E
T
H
O
D
A
m
eth
o
d
ical
s
tr
ateg
y
is
u
s
ed
in
th
e
cr
ea
tio
n
o
f
th
e
I
o
T
-
b
ased
h
ea
t
s
tr
o
k
e
p
r
ev
e
n
tio
n
d
ev
ice,
co
m
b
in
in
g
s
tate
-
of
-
th
e
-
a
r
t
tech
n
o
lo
g
y
,
ex
te
n
s
iv
e
test
in
g
,
an
d
iter
ativ
e
im
p
r
o
v
em
en
t.
Sen
s
o
r
s
f
o
r
m
ea
s
u
r
in
g
b
o
d
y
tem
p
er
atu
r
e
(
n
o
r
m
al
r
a
n
g
e:
3
6
.
5
°C
to
3
7
.
5
°C
)
,
b
lo
o
d
p
r
ess
u
r
e
(
u
s
u
al
v
alu
es:
s
y
s
to
lic
9
0
-
1
2
0
m
m
Hg
,
d
iast
o
lic
6
0
-
8
0
m
m
Hg
)
[
2
3
]
,
p
u
ls
e
r
ate
(
n
o
r
m
al
r
an
g
e:
6
0
-
1
0
0
b
ea
ts
p
er
m
in
u
te)
,
h
u
m
id
ity
,
an
d
a
m
b
ien
t
tem
p
er
atu
r
e
a
r
e
all
in
teg
r
ated
in
to
th
is
s
y
s
tem
atic
p
r
o
ce
d
u
r
e
[
1
]
,
[
2
4
]
.
I
t
i
s
cr
itical
to
co
m
p
r
eh
en
d
th
e
r
is
k
s
ass
o
ciate
d
with
h
ea
t
-
r
elate
d
d
i
s
o
r
d
er
s
.
T
h
e
r
is
k
o
f
h
ea
t
s
tr
o
k
e,
a
s
er
io
u
s
illn
ess
m
ar
k
ed
b
y
a
b
o
d
y
tem
p
er
atu
r
e
o
f
4
0
°C
o
r
g
r
ea
te
r
,
i
n
cr
ea
s
es
as
b
o
d
y
tem
p
er
at
u
r
e
r
is
es
ab
o
v
e
4
0
°C
an
d
e
n
ter
s
th
e
d
a
n
g
er
o
u
s
z
o
n
e
[
1
1
]
.
E
x
tr
em
e
h
ea
t
e
v
en
ts
in
cr
ea
s
e
th
e
r
is
k
o
f
h
ea
t
-
r
elate
d
h
ea
lth
p
r
o
b
lem
s
s
in
ce
am
b
ien
t
te
m
p
er
atu
r
es
ca
n
r
is
e
o
v
er
4
5
°C
[
1
6
]
.
Peo
p
le
m
ay
n
o
tice
an
i
n
cr
ea
s
e
in
h
ea
r
t
r
at
e
an
d
b
lo
o
d
p
r
ess
u
r
e
d
u
r
i
n
g
h
ea
t
wav
es
as
th
eir
b
o
d
ies
tr
y
to
ad
ju
s
t
to
th
e
e
x
tr
em
e
h
ea
t
[
7
]
.
T
h
e
h
ea
t
s
tr
o
k
e
p
r
e
v
en
tio
n
d
e
v
ice
r
eg
u
la
r
ly
ch
ec
k
s
v
ar
io
u
s
p
h
y
s
io
lo
g
ical
f
ac
t
o
r
s
in
o
r
d
er
to
s
o
lv
e
th
ese
is
s
u
es
[
1
3
]
.
B
y
u
tili
zin
g
m
ac
h
in
e
lear
n
in
g
tec
h
n
iq
u
es,
th
e
g
ad
g
et
ev
alu
ates
th
e
g
ath
er
ed
in
f
o
r
m
atio
n
to
f
o
r
ec
ast
t
h
e
lik
elih
o
o
d
o
f
h
ea
t
s
tr
o
k
e
[
6
]
.
B
y
m
ea
n
s
o
f
iter
ativ
e
tr
ain
i
n
g
o
n
h
eter
o
g
e
n
eo
u
s
d
atasets
th
at
s
p
an
a
r
an
g
e
o
f
p
h
y
s
io
lo
g
ical
p
r
o
f
iles
a
n
d
en
v
ir
o
n
m
en
t
al
s
itu
atio
n
s
,
th
ese
alg
o
r
ith
m
s
g
r
ad
u
ally
im
p
r
o
v
e
th
eir
p
r
ed
ictio
n
ac
c
u
r
ac
y
[
9
]
.
T
o
s
u
m
m
ar
ize,
th
e
all
-
en
c
o
m
p
ass
in
g
s
tr
u
ctu
r
e
in
co
r
p
o
r
ates
in
n
o
v
ativ
e
a
p
p
r
o
ac
h
es,
cr
o
s
s
-
d
is
cip
lin
ar
y
co
o
p
er
atio
n
,
an
d
m
eticu
lo
u
s
v
e
r
if
i
ca
tio
n
p
r
o
ce
d
u
r
es.
T
h
e
h
ea
t
s
tr
o
k
e
p
r
e
v
en
tio
n
d
ev
ice
p
r
o
v
i
d
es
an
ef
f
ec
tiv
e
way
to
r
ed
u
ce
th
e
h
az
a
r
d
s
ass
o
ciate
d
with
r
is
in
g
tem
p
er
atu
r
es in
a
war
m
in
g
e
n
v
ir
o
n
m
e
n
t b
y
u
tili
zin
g
I
o
T
tec
h
n
o
lo
g
y
an
d
s
o
p
h
is
ticated
s
en
s
o
r
s
[
2
5
]
.
2
.
1
.
Sens
o
r
inte
rf
a
cing
T
o
ef
f
ec
tiv
ely
m
o
n
ito
r
a
n
d
p
r
ev
en
t
h
ea
t
-
r
elate
d
d
is
ea
s
es,
o
u
r
I
o
T
-
b
ased
h
ea
t
s
tr
o
k
e
p
r
ev
en
tio
n
d
ev
ice
r
eq
u
ir
es
a
wid
e
r
an
g
e
o
f
h
ea
lth
m
etr
ics,
wh
ich
r
eq
u
ir
e
ca
r
ef
u
l
d
esig
n
an
d
d
ev
el
o
p
m
en
t
d
u
r
in
g
th
e
s
en
s
o
r
in
ter
f
ac
e
p
h
ase.
T
h
e
c
h
o
ice
o
f
s
en
s
o
r
s
was
ca
r
ef
u
ll
y
ex
am
i
n
ed
,
co
n
s
id
er
i
n
g
asp
e
cts
lik
e
p
r
ec
is
io
n
,
d
ep
en
d
a
b
ilit
y
,
s
en
s
itiv
ity
,
an
d
alig
n
m
e
n
t
with
t
h
e
p
r
o
ject
'
s
g
o
als.
T
o
en
s
u
r
e
th
at
t
h
e
g
ad
g
et
c
o
u
ld
o
f
f
er
th
o
r
o
u
g
h
i
n
s
ig
h
ts
in
to
a
p
er
s
o
n
'
s
h
ea
lth
s
tatu
s
an
d
en
v
ir
o
n
m
en
tal
f
ac
to
r
s
,
ea
ch
s
en
s
o
r
was
s
elec
ted
with
a
s
p
ec
if
ic
p
u
r
p
o
s
e
in
m
in
d
.
Fig
u
r
e
1
d
e
p
icts
th
e
wo
r
k
f
lo
w
o
f
th
e
h
ea
t
s
tr
o
k
e
d
etec
tio
n
p
r
o
ce
s
s
.
First
th
e
b
o
d
y
tem
p
er
atu
r
e
a
n
d
b
lo
o
d
p
r
ess
u
r
e
ar
e
m
o
n
ito
r
ed
u
s
in
g
tem
p
er
atu
r
e
a
n
d
B
P
s
en
s
o
r
.
E
SP
3
2
p
r
o
v
i
d
es
d
ata
to
Fire
b
ase
f
o
r
f
u
r
t
h
er
p
r
o
ce
s
s
in
g
.
Ou
r
s
en
s
o
r
s
u
ite'
s
ce
n
tr
al
co
m
p
o
n
en
t,
th
e
E
SP
3
2
m
icr
o
co
n
tr
o
ller
,
was
ch
o
s
en
f
o
r
its
ad
ap
tab
ilit
y
,
p
r
o
ce
s
s
in
g
p
o
wer
,
a
n
d
wid
e
r
an
g
e
o
f
c
o
n
n
ec
tio
n
o
p
tio
n
s
.
A
s
th
e
p
r
im
a
r
y
h
u
b
f
o
r
in
te
g
r
ati
n
g
an
d
a
g
g
r
e
g
atin
g
d
ata
f
r
o
m
s
ev
er
al
s
en
s
o
r
s
,
th
e
E
SP
3
2
's
n
u
m
er
o
u
s
g
en
er
al
-
p
u
r
p
o
s
e
in
p
u
t/o
u
tp
u
t
(
GPI
O
p
o
r
ts
)
an
d
in
teg
r
ated
Wi
-
Fi
en
ab
led
s
m
o
o
th
c
o
n
n
ec
tiv
ity
an
d
d
ata
tr
an
s
f
er
to
Fire
b
ase
f
o
r
a
d
d
itio
n
al
a
n
aly
s
is
an
d
v
is
u
aliza
tio
n
.
W
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8
7
0
8
I
n
tern
et
o
f th
in
g
s
h
ea
ts
tr
o
ke
d
etec
tio
n
d
ev
ice
(
S
w
a
ti P
a
til
)
537
ch
o
s
e
th
e
DS1
8
B
2
0
tem
p
er
atu
r
e
s
en
s
o
r
b
ec
au
s
e
o
f
its
r
em
ar
k
ab
le
ac
cu
r
ac
y
an
d
d
ig
ital
o
u
t
p
u
t
ca
p
ab
ilit
ies
f
o
r
b
o
d
y
tem
p
er
atu
r
e
m
o
n
ito
r
in
g
.
T
o
in
ter
f
ac
e
th
is
s
en
s
o
r
with
th
e
E
SP
3
2
m
icr
o
co
n
tr
o
ller
a
n
d
en
s
u
r
e
ac
cu
r
ate
tem
p
er
atu
r
e
r
ea
d
in
g
s
th
at
ar
e
ess
en
tial
f
o
r
th
e
ea
r
ly
id
en
tific
atio
n
o
f
h
ea
t
s
tr
o
k
e
-
r
elate
d
h
a
za
r
d
s
,
th
e
o
n
e
wir
e
p
r
o
to
co
l
m
u
s
t
b
e
im
p
lem
e
n
ted
.
I
n
ad
d
itio
n
to
m
o
n
it
o
r
in
g
b
o
d
y
tem
p
er
atu
r
e,
ass
ess
in
g
s
u
r
r
o
u
n
d
in
g
tem
p
er
atu
r
e
an
d
h
u
m
id
ity
lev
els
to
co
n
tex
tu
alize
a
n
in
d
iv
id
u
al'
s
en
v
ir
o
n
m
en
t
was
also
v
ital.
T
o
th
is
en
d
,
t
h
e
DHT
1
1
s
en
s
o
r
was
in
co
r
p
o
r
ated
in
to
t
h
e
d
e
v
ice,
p
r
o
v
id
i
n
g
s
u
p
p
lem
en
tar
y
d
ata
th
at
co
u
ld
h
elp
e
v
alu
ate
th
e
im
p
ac
t
o
f
en
v
ir
o
n
m
e
n
tal
f
ac
to
r
s
o
n
h
ea
t
s
tr
ess
s
u
s
ce
p
tib
ili
ty
[
4
]
.
Fig
u
r
e
2
clea
r
ly
s
h
o
ws
th
e
p
r
o
to
t
y
p
e
o
f
t
h
e
s
y
s
tem
wh
ich
co
n
s
is
ts
o
f
d
if
f
er
en
t
s
en
s
o
r
s
u
s
ed
t
o
m
ea
s
u
r
e
b
o
d
y
p
a
r
am
eter
s
.
T
h
e
s
en
s
o
r
in
p
u
t
is
p
r
o
ce
s
s
ed
b
y
th
e
p
r
o
ce
s
s
in
g
b
o
ar
d
a
n
d
th
e
r
esu
lt will b
e
d
is
p
lay
ed
o
n
d
i
s
p
lay
b
o
ar
d
.
Fig
u
r
e
1
.
Sen
s
o
r
wo
r
k
f
lo
w
Fig
u
r
e
2
.
B
r
ea
k
d
o
wn
o
f
th
e
s
e
n
s
o
r
s
u
s
ed
an
d
i
n
ter
f
ac
ed
T
o
co
m
p
r
e
h
en
s
iv
ely
m
o
n
ito
r
ca
r
d
io
v
ascu
lar
p
ar
a
m
eter
s
,
in
clu
d
in
g
s
y
s
to
lic
an
d
d
iast
o
lic
b
lo
o
d
p
r
ess
u
r
e
alo
n
g
with
p
u
ls
e
r
ate
,
we
in
te
g
r
ated
a
s
p
ec
ialized
b
lo
o
d
p
r
ess
u
r
e
s
en
s
o
r
r
en
o
wn
ed
f
o
r
its
ac
c
u
r
ac
y
an
d
r
eliab
ilit
y
.
Fu
r
th
er
m
o
r
e,
u
n
d
er
s
tan
d
i
n
g
th
e
cr
iticality
o
f
d
etec
tin
g
f
alls
,
a
co
m
m
o
n
c
o
n
s
eq
u
en
ce
o
f
h
ea
t
s
tr
o
k
e
an
d
r
elate
d
h
ea
lth
em
er
g
en
cies,
we
i
n
teg
r
ated
th
e
ADXL
3
3
5
ac
ce
ler
o
m
eter
i
n
to
o
u
r
d
ev
ice.
T
h
is
s
en
s
o
r
p
lay
s
a
p
iv
o
tal
r
o
le
in
d
etec
tin
g
s
u
d
d
en
ch
an
g
es
in
m
o
tio
n
a
n
d
o
r
ien
tatio
n
,
in
d
ica
tiv
e
o
f
a
f
all
ev
en
t.
I
n
ter
f
ac
in
g
th
is
s
en
s
o
r
r
e
q
u
ir
e
d
m
eticu
lo
u
s
s
ig
n
al
co
n
d
itio
n
in
g
an
d
ca
lib
r
atio
n
p
r
o
ce
s
s
es
to
en
s
u
r
e
ac
c
u
r
ate
d
etec
tio
n
o
f
f
alls
an
d
m
in
im
iz
e
f
alse
alar
m
s
.
E
ac
h
s
en
s
o
r
u
n
d
er
wen
t
th
o
r
o
u
g
h
in
itializatio
n
,
ca
lib
r
atio
n
,
an
d
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
7
0
8
I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
1
6
,
No
.
1
,
Feb
r
u
ar
y
20
2
6
:
5
3
5
-
544
538
co
n
f
ig
u
r
atio
n
to
o
p
tim
ize
p
e
r
f
o
r
m
a
n
ce
an
d
m
ain
tain
d
ata
in
teg
r
ity
[
1
3
]
,
[
1
5
]
.
Ad
d
itio
n
ally
,
r
o
b
u
s
t
er
r
o
r
h
an
d
lin
g
m
ec
h
a
n
is
m
s
wer
e
i
m
p
lem
en
ted
to
ad
d
r
ess
an
y
p
o
ten
tial
is
s
u
es
an
d
e
n
s
u
r
e
s
ea
m
less
o
p
er
atio
n
th
r
o
u
g
h
o
u
t
th
e
d
ata
ac
q
u
is
itio
n
p
r
o
ce
s
s
[
1
6
]
,
[
2
6
]
.
O
n
c
e
s
e
n
s
o
r
d
a
t
a
w
a
s
a
c
q
u
i
r
e
d
,
i
t
u
n
d
e
r
w
e
n
t
p
r
o
c
e
s
s
i
n
g
,
f
o
r
m
a
t
t
i
n
g
,
a
n
d
t
r
a
n
s
m
i
s
s
i
o
n
to
F
i
r
e
b
a
s
e'
s
R
e
a
l
ti
m
e
d
a
t
a
b
as
e
u
s
i
n
g
t
h
e
F
i
r
e
b
a
s
e
A
r
d
u
i
n
o
l
ib
r
a
r
y
.
T
h
i
s
i
n
v
o
l
v
e
d
e
s
t
a
b
li
s
h
i
n
g
s
ec
u
r
e
c
o
n
n
e
c
t
i
o
n
s
,
i
m
p
l
e
m
e
n
t
i
n
g
d
a
t
a
t
r
a
n
s
m
i
s
s
i
o
n
p
r
o
t
o
c
o
l
s
,
a
n
d
e
n
s
u
r
i
n
g
c
o
m
p
l
i
a
n
c
e
w
i
t
h
F
i
r
e
b
as
e'
s
A
P
I
r
e
q
u
i
r
e
m
e
n
ts
t
o
f
a
c
i
l
it
a
t
e
s
e
a
m
l
e
s
s
s
y
n
c
h
r
o
n
i
z
a
t
i
o
n
a
n
d
s
t
o
r
a
g
e
o
f
r
e
a
l
-
ti
m
e
h
e
a
l
t
h
d
a
t
a
[
8
]
,
[
2
1
]
.
T
h
r
o
u
g
h
F
i
r
e
b
a
s
e
,
s
e
n
s
o
r
d
a
t
a
w
a
s
s
e
c
u
r
e
l
y
s
t
o
r
e
d
a
n
d
m
a
d
e
r
e
a
d
i
l
y
a
c
c
es
s
i
b
l
e
f
o
r
a
n
a
l
y
s
i
s
a
n
d
v
i
s
u
al
i
z
at
i
o
n
t
h
r
o
u
g
h
o
u
r
w
e
b
a
p
p
l
i
c
a
t
i
o
n
i
n
t
e
r
f
a
c
e
.
C
o
n
s
e
q
u
e
n
t
l
y
,
t
h
e
I
o
T
-
b
a
s
e
d
h
e
a
t
s
t
r
o
k
e
p
r
e
v
e
n
t
io
n
d
e
v
i
c
e
'
s
s
e
n
s
o
r
i
n
t
e
r
f
a
c
i
n
g
p
r
o
c
e
s
s
w
as
p
a
i
n
s
ta
k
i
n
g
l
y
p
l
a
n
n
e
d
a
n
d
c
a
r
r
i
e
d
o
u
t
p
r
o
j
e
c
t
t
h
a
t
i
n
c
l
u
d
e
d
a
w
i
d
e
r
a
n
g
e
o
f
s
e
n
s
o
r
s
,
c
o
m
p
l
e
x
c
a
l
i
b
r
a
ti
o
n
a
n
d
p
r
o
g
r
a
m
m
i
n
g
s
t
e
p
s
,
a
n
d
a
s
m
o
o
t
h
i
n
t
e
g
r
a
t
i
o
n
wi
t
h
Fi
r
e
b
a
s
e
f
o
r
r
e
a
l
-
t
i
m
e
d
a
ta
s
y
n
c
h
r
o
n
i
z
a
t
i
o
n
a
n
d
s
t
o
r
a
g
e
[
3
]
,
[
2
6
]
.
T
h
e
d
e
v
i
c
e
g
u
a
r
a
n
t
e
e
d
d
e
p
e
n
d
a
b
i
l
i
t
y
,
a
n
d
f
u
n
c
t
i
o
n
al
i
ty
i
n
p
r
o
a
c
t
i
v
e
h
e
al
t
h
m
o
n
i
t
o
r
i
n
g
a
n
d
h
e
a
t
s
t
r
o
k
e
p
r
ev
e
n
t
i
o
n
b
y
u
s
i
n
g
o
u
r
m
e
t
h
o
d
i
c
a
l
m
e
t
h
o
d
o
l
o
g
y
[
2
7
]
.
T
h
e
s
y
s
tem
ar
ch
itectu
r
e
f
o
r
a
h
ea
ts
tr
o
k
e
d
etec
tio
n
an
d
m
o
n
ito
r
in
g
d
e
v
ice
f
o
r
th
e
I
o
T
th
at
u
s
es
a
m
ac
h
in
e
lear
n
in
g
m
o
d
el
is
s
h
o
wn
in
Fig
u
r
e
3.
T
h
e
s
y
s
tem
is
d
esig
n
to
g
ath
er
in
f
o
r
m
atio
n
f
r
o
m
p
er
s
o
n
al
an
d
en
v
ir
o
n
m
en
tal
s
en
s
o
r
s
,
u
s
e
a
m
ac
h
in
e
lear
n
in
g
alg
o
r
ith
m
to
in
ter
p
r
et
it,
a
n
d
th
en
s
h
o
w
th
e
r
esu
lts
o
n
a
n
o
n
lin
e
d
ash
b
o
ar
d
.
Fig
u
r
e
4
s
h
o
ws th
e
d
ash
b
o
ar
d
o
f
r
esu
lts
o
b
tain
ed
af
ter
test
in
g
th
e
d
ev
ice
.
T
h
e
d
e
v
ice
s
h
o
ws
lo
ca
tio
n
,
wea
th
er
in
f
o
r
m
atio
n
with
v
ar
io
u
s
p
ar
am
eter
s
v
alu
e
s
u
ch
as
b
m
p
8
2
,
b
lo
o
d
p
r
ess
u
r
e
1
4
0
an
d
8
4
,
clea
r
ly
g
iv
es
th
e
p
o
s
s
ib
ilit
y
o
f
p
er
ce
n
tag
e
o
f
h
ea
t
s
tr
o
k
e
.
T
h
e
UV
in
d
ex
1
2
.
0
7
in
d
icate
s
s
t
r
o
n
g
s
u
n
ex
p
o
s
u
r
e
wh
ich
in
d
icate
s
m
ajo
r
h
ea
ts
tr
o
k
e
r
is
k
.
Fig
u
r
e
3
.
C
o
m
p
lete
w
o
r
k
f
l
o
w
Fig
u
r
e
4
.
R
ea
ct
web
ap
p
licatio
n
UI
2
.
2
.
AP
I
a
nd
F
ireba
s
e
-
Rea
ct
co
nn
ec
t
io
n
An
im
p
o
r
tan
t
s
tep
f
o
r
war
d
in
th
e
f
ig
h
t
ag
ai
n
s
t
h
ea
t
s
tr
o
k
e
a
n
d
p
r
e
v
en
tiv
e
h
ea
lth
m
o
n
ito
r
i
n
g
was
th
e
in
teg
r
atio
n
o
f
Fire
b
ase
with
t
h
e
R
ea
ct
web
a
p
p
licatio
n
.
T
h
is
co
m
p
le
x
p
r
o
ce
d
u
r
e,
wh
ich
was
s
u
p
p
o
r
ted
b
y
a
n
ad
v
an
ce
d
co
m
b
in
atio
n
o
f
f
r
o
n
t
-
en
d
d
ev
elo
p
m
en
t,
r
ea
l
-
tim
e
d
ata
s
y
n
ch
r
o
n
izatio
n
,
an
d
p
r
ed
ictiv
e
an
al
y
tics
,
em
b
o
d
ied
t
h
e
co
m
in
g
to
g
et
h
e
r
o
f
s
tate
-
of
-
t
h
e
-
ar
t
tech
n
o
lo
g
y
to
p
r
o
tect
p
er
s
o
n
al
h
ea
lth
.
R
ea
ct,
a
J
av
aScr
ip
t
to
o
lk
it
well
-
k
n
o
wn
f
o
r
its
d
ec
lar
ativ
e
s
y
n
tax
an
d
co
m
p
o
n
en
t
-
b
ased
d
esig
n
,
was
in
th
e
v
an
g
u
ar
d
o
f
tech
n
o
lo
g
y
.
Usi
n
g
th
e
m
o
d
u
la
r
d
esig
n
p
r
in
cip
les
o
f
R
ea
ct,
a
s
et
o
f
co
m
p
o
n
en
ts
was
cr
ea
ted
with
g
r
ea
t
ca
r
e,
ea
ch
s
p
ec
if
ically
d
esig
n
ed
to
ad
d
r
ess
d
if
f
e
r
en
t
asp
ec
ts
o
f
d
ata
v
is
u
aliza
tio
n
a
n
d
u
s
er
i
n
ter
ac
tio
n
.
R
ea
ct
was
th
e
co
r
n
er
s
to
n
e
o
f
th
e
web
a
p
p
licatio
n
'
s
d
esig
n
,
p
r
o
v
id
in
g
s
m
o
o
th
s
ca
lab
ilit
y
an
d
co
d
e
m
ain
tain
ab
ilit
y
in
ev
er
y
th
in
g
f
r
o
m
th
e
s
lick
an
d
u
s
er
-
f
r
ien
d
ly
u
s
er
in
ter
f
ac
e
to
th
e
d
y
n
am
ic
p
r
esen
tatio
n
o
f
r
ea
l
-
tim
e
h
ea
lth
in
f
o
r
m
atio
n
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8
7
0
8
I
n
tern
et
o
f th
in
g
s
h
ea
ts
tr
o
ke
d
etec
tio
n
d
ev
ice
(
S
w
a
ti P
a
til
)
539
A
cr
u
cial
asp
ec
t
o
f
th
e
p
r
o
je
ct
in
clu
d
ed
g
ath
er
in
g
u
s
er
d
a
ta,
wh
ich
was
m
ad
e
ea
s
ier
w
ith
R
ea
ct
f
o
r
m
s
d
esig
n
ed
to
r
ec
o
r
d
a
wid
e
r
an
g
e
o
f
d
em
o
g
r
ap
h
ic
an
d
h
ea
lth
-
r
elate
d
in
f
o
r
m
atio
n
.
W
ith
th
e
h
elp
o
f
R
ea
cts
f
o
r
m
h
an
d
lin
g
f
ea
tu
r
es
,
a
ca
r
ef
u
lly
p
lan
n
ed
s
y
m
p
h
o
n
y
o
f
r
ad
io
b
u
tto
n
s
,
d
r
o
p
d
o
w
n
m
en
u
s
,
an
d
in
p
u
t
f
ield
s
was
cr
ea
ted
to
elicit
d
etailed
an
d
ac
cu
r
ate
u
s
er
r
ep
li
es.
T
h
e
d
ata
m
o
v
e
d
s
m
o
o
th
l
y
to
Fire
b
ase'
s
r
ea
l
-
tim
e
d
atab
ase
,
a
p
o
wer
f
u
l
cl
o
u
d
s
to
r
ag
e
an
d
s
y
n
ch
r
o
n
iza
tio
n
p
latf
o
r
m
as
s
o
o
n
as
th
e
u
s
er
en
ter
ed
t
h
eir
in
f
o
r
m
atio
n
.
Fire
b
ase'
s
s
ca
lab
le
ar
ch
itectu
r
e
an
d
p
o
wer
f
u
l
API
s
p
r
o
v
id
ed
u
s
er
d
ata
with
a
h
av
en
w
h
er
e
it
co
u
ld
b
e
ac
ce
s
s
ed
an
d
u
s
ed
f
o
r
ad
d
itio
n
al
p
r
o
ce
s
s
in
g
a
n
d
an
aly
s
is
.
Un
m
atch
ed
d
ata
ac
ce
s
s
ib
ilit
y
an
d
in
teg
r
ity
wer
e
m
ad
e
p
o
s
s
ib
le
with
Fir
eb
ase
ac
tin
g
as
th
e
b
ac
k
en
d
f
r
am
ewo
r
k
,
wh
ic
h
was
cr
u
cial
f
o
r
th
e
s
m
o
o
th
co
o
r
d
in
atio
n
o
f
th
e
p
r
ed
ictiv
e
an
aly
tics
p
ip
elin
e.
Simu
ltan
eo
u
s
ly
,
th
e
R
ea
ct
web
ap
p
licatio
n
was
p
ac
k
ed
with
a
v
ar
iety
o
f
elem
en
ts
m
ea
n
t
to
p
r
o
v
id
e
u
s
er
s
with
im
m
e
d
iate
f
ee
d
b
ac
k
an
d
ac
tio
n
ab
l
e
in
f
o
r
m
atio
n
.
Fo
r
ex
am
p
le,
th
e
wea
th
er
co
m
p
o
n
en
t
u
s
ed
e
x
ter
n
al
API
s
to
r
etr
i
ev
e
UV
in
d
e
x
an
d
tem
p
e
r
atu
r
e
d
ata
p
a
r
ticu
lar
to
a
ce
r
tain
r
eg
io
n
,
p
r
o
v
i
d
in
g
a
clea
r
p
ictu
r
e
o
f
h
o
w
en
v
ir
o
n
m
en
tal
f
ac
to
r
s
in
f
lu
en
ce
th
e
r
i
s
k
o
f
h
ea
t
s
tr
o
k
e.
I
n
th
e
m
ea
n
wh
ile,
th
e
s
en
s
o
r
d
ata
co
m
p
o
n
en
t
p
r
o
v
id
e
d
a
d
ash
b
o
ar
d
o
f
h
ea
lth
m
ea
s
u
r
em
en
ts
r
etr
iev
ed
in
r
ea
l
tim
e
f
r
o
m
th
e
in
ter
n
et
o
f
th
in
g
s
s
en
s
o
r
s
u
ite,
ac
tin
g
as
a
win
d
o
w
in
to
th
e
u
s
er
'
s
p
h
y
s
io
lo
g
i
ca
l
d
o
m
ain
.
B
u
t
th
e
p
r
o
b
a
b
ilit
y
s
ec
tio
n
o
f
th
e
web
ap
p
,
wh
er
e
th
e
wo
n
d
e
r
s
o
f
p
r
ed
ictiv
e
m
o
d
elin
g
wer
e
s
h
o
w
n
,
co
u
ld
h
a
v
e
b
ee
n
its
cr
o
wn
in
g
ac
h
iev
em
e
n
t.
T
h
is
p
ar
t
d
eter
m
in
ed
th
e
lik
elih
o
o
d
o
f
h
ea
t
s
tr
o
k
e
s
tar
tin
g
with
s
u
r
g
ical
ac
cu
r
ac
y
th
an
k
s
to
m
ac
h
in
e
lear
n
in
g
alg
o
r
ith
m
s
th
at
wer
e
tr
ain
ed
o
n
a
m
u
ltit
u
d
e
o
f
h
is
to
r
ical
d
ata
an
d
u
s
er
-
s
p
ec
if
ic
ch
ar
ac
ter
is
tics
.
All th
e
p
r
ed
ictio
n
s
,
wh
ich
d
em
o
n
s
tr
ate
th
e
ef
f
ec
tiv
en
ess
o
f
d
ata
-
d
r
iv
en
d
ec
i
s
io
n
-
m
ak
in
g
,
wer
e
s
en
t
b
ac
k
to
Fire
b
ase'
s
r
ea
l
-
ti
m
e
d
atab
ase
to
co
m
p
lete
th
e
f
ee
d
b
ac
k
lo
o
p
an
d
p
r
o
v
id
e
u
s
er
s
with
in
d
iv
id
u
al
r
is
k
ass
ess
m
en
ts
.
T
o
p
u
t
it
s
i
m
p
ly
,
th
e
way
Fire
b
ase
was
in
teg
r
ated
with
th
e
R
ea
ct
web
ap
p
licatio
n
was
a
p
er
f
ec
t
m
ar
r
iag
e
o
f
tech
n
o
lo
g
ical
wiza
r
d
r
y
an
d
u
s
er
-
ce
n
t
er
ed
d
esig
n
.
A
d
i
g
ital
en
v
ir
o
n
m
en
t
w
h
er
e
d
ata
f
lo
wed
s
m
o
o
t
h
ly
,
i
n
s
ig
h
ts
ab
o
u
n
d
,
an
d
liv
es
wer
e
p
r
o
tecte
d
f
r
o
m
t
h
e
d
e
v
astatio
n
o
f
h
ea
t
-
r
elate
d
d
is
ea
s
es
was
cr
ea
ted
th
r
o
u
g
h
p
ain
s
tak
in
g
at
ten
tio
n
to
d
etail
an
d
u
n
r
elen
tin
g
in
n
o
v
atio
n
.
2
.
3
.
M
L
m
o
del a
nd
predict
io
n
T
h
e
I
o
T
-
b
ased
h
ea
t
s
tr
o
k
e
p
r
ev
en
tio
n
d
e
v
ice'
s
p
r
ed
ictiv
e
m
o
d
elin
g
co
m
p
o
n
en
t
e
x
e
m
p
lifie
d
an
in
ten
s
iv
e
p
r
o
ce
d
u
r
e
in
cl
u
d
in
g
ch
allen
g
in
g
d
ata
co
llectin
g
,
p
r
ep
r
o
ce
s
s
in
g
,
an
d
alg
o
r
ith
m
ic
s
elec
tio
n
.
T
h
e
d
ata
is
co
llected
f
o
r
f
em
ale
an
d
m
ale
u
s
in
g
th
e
r
an
d
o
m
f
o
r
est cla
s
s
if
ier
as
s
h
o
wn
in
Fig
u
r
e
5
,
wh
ich
is
well
-
k
n
o
wn
f
o
r
b
ei
n
g
f
le
x
ib
le
an
d
r
esil
ien
t
wh
en
wo
r
k
in
g
with
im
b
al
an
ce
d
d
ata,
t
h
e
o
b
jectiv
e
was
to
ac
cu
r
ately
an
d
co
n
s
is
ten
tly
p
r
ed
ict
th
e
lik
elih
o
o
d
th
at
a
h
ea
t
s
tr
o
k
e
wo
u
ld
o
cc
u
r
wh
ile
o
v
er
co
m
i
n
g
o
b
s
t
ac
les
lik
e
a
lack
o
f
d
ata
an
d
a
class
im
b
alan
ce
.
T
h
e
jo
u
r
n
ey
b
e
g
an
with
th
e
ch
allen
g
in
g
task
o
f
g
at
h
er
in
g
d
a
ta,
wh
er
ein
th
e
lack
o
f
ea
s
ily
ac
ce
s
s
ib
le
d
atasets
r
eq
u
ir
ed
h
u
m
an
c
o
m
p
ilatio
n
an
d
s
elec
tio
n
o
f
p
er
tin
en
t
d
a
ta
p
o
in
ts
.
Usi
n
g
a
v
ar
iety
o
f
s
o
u
r
ce
s
,
in
clu
d
in
g
s
en
s
o
r
r
ea
d
in
g
s
,
u
s
er
d
em
o
g
r
ap
h
ics,
an
d
m
ed
ical
h
is
to
r
y
,
a
h
eter
o
g
en
e
o
u
s
d
ataset
was
p
ain
s
tak
in
g
ly
ass
em
b
led
to
ca
p
tu
r
e
th
e
co
m
p
lex
n
at
u
r
e
o
f
h
ea
t
-
r
elate
d
d
an
g
er
s
.
T
h
e
d
ata'
s
r
elev
an
ce
a
n
d
in
teg
r
ity
wer
e
g
u
ar
an
teed
b
y
t
h
is
h
u
m
a
n
c
u
r
atio
n
p
r
o
ce
d
u
r
e,
wh
ich
estab
lis
h
ed
a
s
tr
o
n
g
b
asis
f
o
r
f
u
r
th
er
attem
p
ts
at
p
r
ed
icti
v
e
m
o
d
elin
g
.
Fig
u
r
e
5
.
Data
v
is
u
aliza
tio
n
o
f
g
en
d
er
o
f
p
eo
p
le
i
n
tr
ain
in
g
d
ataset
Fo
llo
win
g
th
e
co
m
p
ilatio
n
o
f
th
e
d
ataset,
a
th
o
r
o
u
g
h
d
ata
p
r
ep
ar
atio
n
s
tag
e
was
in
itiat
ed
,
wh
ich
in
v
o
lv
ed
th
e
u
s
e
o
f
m
eth
o
d
ica
l
clea
n
in
g
,
tr
an
s
f
o
r
m
atio
n
,
an
d
au
g
m
en
tatio
n
p
r
o
ce
d
u
r
es.
T
o
d
ev
elo
p
a
u
n
if
ied
an
d
s
tan
d
ar
d
ized
d
ataset
th
at
is
s
u
itab
le
f
o
r
p
r
ed
ictiv
e
m
o
d
elin
g
,
ef
f
o
r
ts
wer
e
u
n
d
er
ta
k
en
t
o
ad
d
r
ess
p
r
o
b
lem
s
in
clu
d
in
g
m
is
s
in
g
v
alu
es,
c
ateg
o
r
ical
en
c
o
d
in
g
,
an
d
f
e
atu
r
e
n
o
r
m
aliza
tio
n
.
No
tab
l
y
,
to
r
ed
u
ce
class
im
b
alan
ce
a
n
d
s
u
p
p
o
r
t
m
o
d
el
g
en
er
aliza
tio
n
,
o
v
e
r
s
am
p
lin
g
an
d
u
n
d
e
r
s
am
p
lin
g
s
tr
ateg
ies
h
ad
to
b
e
u
s
ed
d
u
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
7
0
8
I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
1
6
,
No
.
1
,
Feb
r
u
ar
y
20
2
6
:
5
3
5
-
544
540
to
th
e
u
n
b
alan
ce
d
n
atu
r
e
o
f
t
h
e
d
ataset,
wh
ich
in
clu
d
ed
a
la
r
g
er
in
cid
e
n
ce
o
f
n
o
n
-
h
ea
t
s
tr
o
k
e
ca
s
es.
Af
ter
th
e
d
ataset
was
r
ea
d
y
f
o
r
m
o
d
eli
n
g
,
a
r
ig
o
r
o
u
s
alg
o
r
ith
m
ic
s
elec
tio
n
p
r
o
ce
s
s
was
u
s
ed
to
ass
es
s
a
v
ar
iety
o
f
m
ac
h
in
e
lear
n
i
n
g
class
if
ier
s
f
o
r
th
eir
ac
c
u
r
ac
y
in
p
r
ed
ict
in
g
h
ea
t
s
tr
o
k
e
.
Var
io
u
s
alte
r
n
ativ
es,
in
clu
d
in
g
s
u
p
p
o
r
t
v
ec
to
r
m
ac
h
in
es
(
S
VM
)
an
d
d
ec
is
io
n
tr
ee
s
,
wer
e
ex
am
in
ed
;
ea
ch
h
a
v
in
g
ad
v
an
tag
es
an
d
d
is
ad
v
an
tag
es
wh
en
it
co
m
es
to
p
er
f
o
r
m
in
g
ca
teg
o
r
izatio
n
j
o
b
s
.
Fo
llo
win
g
ca
r
ef
u
l
co
n
s
id
er
atio
n
,
th
e
r
an
d
o
m
f
o
r
est
class
if
ier
was
d
ec
lar
ed
th
e
b
est
o
p
tio
n
d
u
e
to
its
r
ep
u
tatio
n
f
o
r
m
an
a
g
in
g
i
n
tr
i
ca
te
d
atasets
with
n
o
n
lin
ea
r
c
o
n
n
ec
tio
n
s
an
d
r
ed
u
cin
g
o
v
er
f
itti
n
g
.
E
x
ten
s
iv
e
cr
o
s
s
-
v
alid
atio
n
test
s
wer
e
ca
r
r
ied
o
u
t,
ex
am
i
n
in
g
a
wid
e
r
an
g
e
o
f
class
if
icatio
n
m
etr
ics
ac
r
o
s
s
m
u
ltip
le
v
alid
atio
n
f
o
l
d
s
,
to
ev
alu
ate
th
e
p
r
ed
ictio
n
p
er
f
o
r
m
an
ce
o
f
th
e
r
a
n
d
o
m
f
o
r
est
m
o
d
el.
Me
tr
ics
in
clu
d
in
g
ac
cu
r
ac
y
,
p
r
ec
is
io
n
,
r
ec
all,
a
n
d
F1
-
Sco
r
e
p
r
o
v
id
e
th
o
r
o
u
g
h
in
s
ig
h
ts
in
to
th
e
m
o
d
el'
s
d
ep
en
d
ab
ilit
y
an
d
ac
cu
r
ac
y
i
n
id
en
tif
y
in
g
h
ea
t
s
tr
o
k
e
r
is
k
s
.
A
th
o
r
o
u
g
h
co
m
p
ar
ativ
e
an
aly
s
is
d
em
o
n
s
tr
ated
h
o
w
well
th
e
r
an
d
o
m
f
o
r
est
class
if
ier
h
an
d
l
ed
th
e
co
m
p
lex
ities
o
f
th
e
d
at
aset
wh
en
co
m
p
a
r
ed
to
o
th
e
r
class
if
ier
s
.
Su
p
p
o
r
t
v
ec
to
r
m
ac
h
in
es
p
er
f
o
r
m
e
d
a
d
m
ir
ab
ly
w
h
ile
h
an
d
lin
g
h
ig
h
-
d
im
en
s
io
n
al
d
ata,
b
u
t
in
th
e
r
estricte
d
tr
ain
in
g
d
ata
r
eg
im
e,
th
e
y
p
r
esen
te
d
d
if
f
icu
lties
b
ec
au
s
e
o
f
t
h
eir
co
m
p
u
tatio
n
al
co
m
p
lex
ity
an
d
o
v
e
r
f
itti
n
g
v
u
ln
er
ab
ilit
y
.
R
an
d
o
m
f
o
r
est
p
r
o
v
id
e
d
th
e
r
esil
ien
ce
a
n
d
g
en
er
aliza
tio
n
q
u
alities
th
at
d
e
cisi
o
n
tr
ee
s
d
id
n
o
t,
n
o
twith
s
tan
d
in
g
th
eir
s
im
p
licity
an
d
i
n
ter
p
r
etab
ilit
y
.
T
o
s
u
m
u
p
,
th
e
in
c
o
r
p
o
r
atio
n
o
f
th
e
r
an
d
o
m
f
o
r
est
class
if
ier
in
to
th
e
p
r
e
d
ictiv
e
m
o
d
elin
g
p
ip
elin
e
d
em
o
n
s
tr
ated
a
d
ata
-
d
r
iv
en
s
tr
ateg
y
f
o
r
ea
r
ly
illn
ess
d
etec
tio
n
an
d
p
r
o
ac
tiv
e
h
ea
lth
m
o
n
ito
r
i
n
g
.
T
h
e
d
ev
elo
p
m
e
n
t
o
f
a
s
tr
o
n
g
p
r
ed
i
ctiv
e
m
o
d
el
th
at
ca
n
ac
cu
r
atel
y
an
d
c
o
n
s
is
ten
tly
id
en
tify
h
e
at
-
r
elate
d
r
is
k
s
was
m
ad
e
p
o
s
s
ib
le
b
y
r
i
g
o
r
o
u
s
d
at
a
cu
r
atio
n
,
p
r
ep
r
o
ce
s
s
in
g
,
an
d
alg
o
r
ith
m
ic
s
elec
tio
n
,
d
esp
ite
o
b
s
tacle
s
lik
e
class
im
b
alan
ce
an
d
d
ata
s
ca
r
city
.
T
h
is
h
i
g
h
lig
h
ts
th
e
r
e
v
o
lu
ti
o
n
ar
y
p
o
te
n
tial
o
f
m
ac
h
in
e
l
ea
r
n
in
g
in
tailo
r
ed
h
ea
lth
ca
r
e
in
ter
v
en
tio
n
s
.
Data
v
is
u
aliza
tio
n
o
f
h
ea
ts
tr
o
k
e
p
r
o
b
ab
ilit
y
v
s
a
g
e
an
d
tem
p
e
r
atu
r
e
is
as
s
h
o
wn
in
Fig
u
r
e
6
a
n
d
7
.
T
h
e
g
r
ap
h
f
r
o
m
Fig
u
r
e
6
s
h
o
ws
th
at
th
e
ch
a
n
ce
s
o
f
h
ea
t
s
tr
o
k
e
i
n
cr
ea
s
e
w
ith
in
cr
ea
s
e
in
a
g
e.
T
h
e
ch
an
ce
s
ar
e
m
o
r
e
f
o
r
p
e
o
p
le
o
f
ag
e
ab
o
v
e
6
5
.
Gr
ap
h
in
Fig
u
r
e
7
s
h
o
ws
v
ar
iatio
n
o
f
t
em
p
er
atu
r
e
f
r
o
m
2
0
to
4
5
d
eg
r
ee
s
.
T
h
e
d
ata
s
h
o
ws
th
at
th
e
in
cr
ea
s
e
in
tem
p
er
atu
r
e
in
cr
ea
s
es c
h
an
ce
s
o
f
h
ea
ts
tr
o
k
e
s
ig
n
if
ican
tly
.
Fig
u
r
e
6
.
Data
v
is
u
aliza
tio
n
o
f
h
ea
ts
tr
o
k
e
p
r
o
b
ab
ilit
y
v
s
ag
e
g
r
ap
h
Fig
u
r
e
7
.
Data
v
is
u
aliza
tio
n
o
f
h
ea
ts
tr
o
k
e
p
r
o
b
ab
ilit
y
v
s
tem
p
er
atu
r
e
g
r
ap
h
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8
7
0
8
I
n
tern
et
o
f th
in
g
s
h
ea
ts
tr
o
ke
d
etec
tio
n
d
ev
ice
(
S
w
a
ti P
a
til
)
541
2
.
4
.
Deplo
y
m
ent
o
f
t
he
ma
c
hin
e
lea
rning
m
o
del w
it
h f
ro
nte
nd
inte
g
ra
t
io
n
T
o
p
r
o
v
i
d
e
r
ea
l
-
tim
e
p
r
ed
ictio
n
ca
p
ab
ilit
ies an
d
u
s
er
in
v
o
lv
e
m
en
t in
th
e
last
p
h
ase
o
f
o
u
r
p
r
o
ject,
we
h
ad
to
in
s
tall
th
e
ML
m
o
d
el,
n
am
ely
th
e
r
an
d
o
m
f
o
r
est
class
if
ier
(
R
FC
)
,
an
d
in
teg
r
ate
it
s
m
o
o
th
ly
with
o
u
r
f
r
o
n
ten
d
.
B
y
u
tili
zin
g
tech
n
o
l
o
g
ies
lik
e
Flas
k
an
d
Pick
le,
we
m
an
ag
ed
a
s
ea
m
less
d
ep
lo
y
m
en
t
p
r
o
ce
s
s
th
at
allo
wed
o
u
r
I
o
T
-
b
ased
h
ea
t
s
tr
o
k
e
p
r
e
v
en
tio
n
d
e
v
ice
to
g
iv
e
co
n
s
u
m
er
s
p
r
o
ac
tiv
e
aler
ts
an
d
cu
s
to
m
ized
r
is
k
ass
es
s
m
en
ts
.
First,
we
u
s
ed
Pick
le,
a
Py
th
o
n
to
o
l
f
o
r
s
er
ializin
g
an
d
d
e
s
er
ializin
g
Py
th
o
n
o
b
ject
s
tr
u
ctu
r
es,
to
s
er
ialize
o
u
r
tr
ain
ed
R
FC
m
o
d
el.
Ou
r
tr
ain
ed
m
o
d
el
was
tr
an
s
f
o
r
m
ed
in
to
a
b
y
te
s
tr
ea
m
th
r
o
u
g
h
th
is
m
eth
o
d
,
m
ak
in
g
it
s
im
p
le
to
s
to
r
e
an
d
tr
an
s
f
er
ac
r
o
s
s
m
an
y
p
latf
o
r
m
s
an
d
co
n
tex
ts
.
T
h
r
o
u
g
h
s
er
ializatio
n
,
we
wer
e
ab
le
to
i
n
co
r
p
o
r
ate
o
u
r
m
o
d
e
l
in
to
o
u
r
d
ep
l
o
y
m
en
t
p
r
o
ce
s
s
ef
f
ec
tiv
ely
with
o
u
t
s
ac
r
if
ici
n
g
p
er
f
o
r
m
an
ce
o
r
f
u
n
ctio
n
ality
.
Nex
t,
we
d
e
v
elo
p
ed
a
R
E
STf
u
l
ap
p
licatio
n
p
r
o
g
r
am
m
in
g
i
n
ter
f
ac
e
(
API
)
th
at
o
f
f
er
ed
e
n
d
p
o
in
ts
f
o
r
m
o
d
el
in
f
er
en
ce
u
s
in
g
Fla
s
k
,
a
lig
h
tweig
h
t
Py
th
o
n
web
f
r
am
ewo
r
k
.
A
s
er
v
er
-
s
id
e
ap
p
licatio
n
was
m
ad
e
p
o
s
s
ib
le
u
s
in
g
Flas
k
,
wh
ich
o
v
er
s
aw
tak
in
g
in
p
u
t
d
ata
f
r
o
m
th
e
f
r
o
n
ten
d
,
p
r
o
ce
s
s
in
g
it
th
r
o
u
g
h
a
n
ML
m
o
d
el
f
o
r
p
r
ed
ictio
n
,
a
n
d
in
s
tan
tly
s
e
n
d
in
g
t
h
e
r
esu
lts
b
ac
k
to
t
h
e
f
r
o
n
ten
d
.
Ou
r
f
r
o
n
ten
d
ap
p
licatio
n
co
u
ld
ea
s
ily
in
ter
f
ac
e
with
th
e
ML
m
o
d
el
r
u
n
n
in
g
in
th
e
b
ac
k
e
n
d
th
an
k
s
to
o
u
r
Flas
k
-
p
o
wer
ed
API
,
allo
w
in
g
f
o
r
th
e
d
y
n
am
ic
p
r
e
d
ictio
n
o
f
h
ea
t
s
tr
o
k
e
r
is
k
d
ep
en
d
in
g
o
n
u
s
er
in
p
u
ts
an
d
s
en
s
o
r
d
ata.
T
h
r
o
u
g
h
th
e
p
r
o
v
is
io
n
o
f
tailo
r
ed
in
s
ig
h
ts
an
d
u
s
ef
u
l
r
ec
o
m
m
en
d
atio
n
s
in
s
id
e
th
e
web
ap
p
licatio
n
in
te
r
f
ac
e,
t
h
is
in
te
g
r
atio
n
im
p
r
o
v
ed
th
e
u
s
er
ex
p
er
ien
ce
.
O
u
r
d
ep
lo
y
m
en
t
a
r
c
h
itectu
r
e
was
m
ad
e
s
tr
o
n
g
an
d
s
ca
lab
le
b
y
co
m
b
i
n
in
g
Flas
k
f
o
r
b
ac
k
en
d
API
d
ev
elo
p
m
e
n
t
with
Pick
le
f
o
r
m
o
d
el
s
er
ializatio
n
.
T
h
is
allo
wed
o
u
r
ML
m
o
d
el
to
b
e
s
ea
m
less
ly
in
teg
r
ated
with
th
e
f
r
o
n
t
-
en
d
u
s
er
ex
p
er
ie
n
c
e.
T
h
is
d
ep
lo
y
m
e
n
t
tech
n
iq
u
e
in
c
r
ea
s
ed
th
e
h
ea
t
s
tr
o
k
e
p
r
ev
e
n
tio
n
d
ev
ice'
s
ef
f
icac
y
in
p
r
o
ac
tiv
e
h
ea
lth
m
o
n
ito
r
in
g
an
d
th
e
p
r
ev
en
tio
n
o
f
h
ea
t
-
r
elate
d
d
is
o
r
d
er
s
b
y
e
n
ab
lin
g
it to
g
iv
e
ti
m
ely
an
d
p
r
ec
is
e
f
o
r
ec
asts
.
3.
RE
SU
L
T
S
AND
D
I
SCU
SS
I
O
N
T
h
e
u
s
e
o
f
th
e
in
ter
n
et
o
f
th
i
n
g
s
-
b
ased
h
ea
t
s
tr
o
k
e
p
r
e
v
en
t
io
n
d
ev
ice
h
as
p
r
o
v
id
ed
im
p
o
r
tan
t
n
ew
in
f
o
r
m
atio
n
o
n
its
ef
f
ec
tiv
en
ess
an
d
its
in
f
lu
en
ce
o
n
p
r
o
a
ctiv
e
h
ea
lth
m
o
n
ito
r
in
g
.
T
h
is
s
ec
tio
n
p
r
o
v
id
es
a
th
o
r
o
u
g
h
e
x
am
in
atio
n
o
f
th
e
d
ev
ice'
s
f
ea
tu
r
e
s
ig
n
if
ican
ce
,
p
r
ed
ictiv
e
p
e
r
f
o
r
m
an
ce
,
u
s
er
p
r
o
f
ile
in
s
ig
h
ts
,
an
d
ef
f
ec
tiv
en
ess
o
f
r
ea
l
-
tim
e
m
o
n
ito
r
in
g
.
W
e
also
p
r
esen
t
a
co
m
p
ar
ativ
e
co
m
p
ar
is
o
n
o
f
m
ac
h
in
e
lear
n
in
g
class
if
ier
s
,
an
d
we
wr
ap
u
p
w
ith
s
o
m
e
p
r
ac
tical
ad
v
ice
a
n
d
s
u
g
g
esti
o
n
s
f
o
r
f
u
r
th
e
r
s
tu
d
y
an
d
ad
v
an
ce
m
e
n
t.
T
ab
le
1
s
h
o
ws th
e
c
o
m
p
ar
ativ
e
an
aly
s
is
o
f
m
ac
h
in
e
lea
r
n
in
g
class
if
ier
s
.
Acc
u
r
ac
y
:
T
h
e
p
e
r
c
e
n
ta
g
e
o
f
co
r
r
ec
tl
y
ca
t
eg
o
r
i
ze
d
ca
s
es
r
el
ati
v
e
t
o
t
h
e
t
o
t
al
n
u
m
b
e
r
o
f
e
x
a
m
p
les
is
k
n
o
w
n
as
ac
cu
r
a
c
y
.
I
t
is
c
o
m
p
u
te
d
b
y
d
i
v
i
d
i
n
g
t
h
e
t
o
ta
l
n
u
m
b
er
o
f
f
o
r
ec
asts
m
a
d
e
b
y
t
h
e
n
u
m
b
e
r
o
f
c
o
r
r
ec
t
g
u
ess
es
.
Ac
cu
r
a
c
y
i
n
cl
ass
i
f
ic
a
tio
n
tas
k
s
is
a
g
en
er
al
i
n
d
ic
at
o
r
o
f
t
h
e
m
o
d
el'
s
p
er
f
o
r
m
a
n
c
e
o
v
er
al
l
class
es.
=
+
+
+
+
(
1
)
Pre
cisi
o
n
:
is
d
ef
in
ed
as
th
e
r
atio
o
f
ac
tu
al
p
o
s
itiv
e
p
r
e
d
ictio
n
s
to
all
o
f
th
e
m
o
d
el
'
s
p
o
s
itiv
e
p
r
ed
ictio
n
s
.
I
t
is
ca
lcu
lated
b
y
d
iv
id
in
g
th
e
to
tal
n
u
m
b
er
o
f
tr
u
e
p
o
s
itiv
es
b
y
th
e
s
u
m
o
f
tr
u
e
p
o
s
itiv
es
an
d
f
alse
p
o
s
itiv
es,
an
d
it
s
h
o
ws
t
h
e
ac
cu
r
ac
y
o
f
p
o
s
itiv
e
f
o
r
ec
asts
.
E
x
ac
tn
ess
i
s
esp
ec
ially
i
m
p
o
r
tan
t
wh
e
n
th
e
ex
p
en
s
e
o
f
f
alse p
o
s
itiv
es is
s
u
b
s
tan
tial.
=
+
(
2
)
R
ec
all:
T
h
e
m
o
d
el's
ca
p
ac
ity
t
o
ac
cu
r
ately
d
is
tin
g
u
is
h
p
o
s
itiv
e
ca
s
es
f
r
o
m
all
r
ea
l
p
o
s
itiv
e
in
s
tan
ce
s
is
m
ea
s
u
r
ed
b
y
r
ec
all,
wh
ic
h
i
s
s
o
m
etim
es
r
ef
er
r
ed
t
o
as
s
en
s
itiv
ity
o
r
tr
u
e
p
o
s
itiv
e
r
ate.
B
y
d
iv
id
i
n
g
th
e
to
tal
n
u
m
b
er
o
f
tr
u
e
p
o
s
itiv
es
an
d
f
alse
n
e
g
ativ
es
b
y
th
e
n
u
m
b
er
o
f
tr
u
e
p
o
s
itiv
es,
it
is
co
m
p
u
ted
.
W
h
en
m
is
id
en
tify
in
g
n
e
g
ativ
e
o
cc
u
r
r
en
ce
s
is
less
h
ar
m
f
u
l th
an
m
is
s
in
g
g
o
o
d
o
n
es,
r
ec
all
b
ec
o
m
e
s
im
p
o
r
tan
t.
=
+
(
3
)
F1
-
Sco
r
e
:
T
h
e
F1
-
Sco
r
e
is
a
s
in
g
le
m
ea
s
u
r
e
th
at
b
alan
ce
s
m
em
o
r
y
an
d
ac
cu
r
ac
y
.
I
t
is
ca
lcu
lated
as
th
e
h
ar
m
o
n
ic
m
ea
n
o
f
r
ec
all
a
n
d
p
r
ec
is
io
n
.
T
h
e
F1
-
Sco
r
e
is
d
er
iv
ed
as
t
h
e
weig
h
ted
av
er
a
g
e
o
f
ac
cu
r
ac
y
an
d
m
em
o
r
y
,
with
ex
ce
llen
t
p
r
ec
is
io
n
an
d
r
ec
all
v
alu
ed
at
1
an
d
p
o
o
r
p
r
ec
is
io
n
a
n
d
r
ec
all
v
alu
ed
at
0
.
B
ec
au
s
e
it
tak
es
in
to
ac
co
u
n
t
b
o
th
f
alse
p
o
s
itiv
es
an
d
f
alse
n
eg
ativ
es,
th
e
F1
-
Sco
r
e
is
esp
ec
ially
h
elp
f
u
l
wh
en
th
er
e
is
an
im
b
alan
ce
b
etwe
en
th
e
n
u
m
b
e
r
o
f
p
o
s
itiv
e
an
d
n
eg
ativ
e
ca
s
e
s
.
1
−
=
2
×
×
+
(
4
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
7
0
8
I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
1
6
,
No
.
1
,
Feb
r
u
ar
y
20
2
6
:
5
3
5
-
544
542
T
ab
le
1
.
C
o
m
p
a
r
ativ
e
an
aly
s
is
o
f
m
ac
h
i
n
e
lear
n
in
g
class
if
ier
s
C
l
a
s
si
f
i
e
r
A
c
c
u
r
a
c
y
P
r
e
c
i
s
i
o
n
R
e
c
a
l
l
F1
-
S
c
o
r
e
R
a
n
d
o
m f
o
r
e
s
t
0
.
8
7
0
.
8
4
0
.
8
0
0
.
8
6
S
u
p
p
o
r
t
v
e
c
t
o
r
0
.
8
1
0
.
8
1
0
.
8
1
0
.
7
9
D
e
c
i
s
i
o
n
t
r
e
e
0
.
8
1
0
.
7
4
0
.
7
6
0
.
8
4
Pre
d
ictiv
e
p
er
f
o
r
m
a
n
ce
:
th
e
in
ter
n
et
o
f
th
in
g
s
-
b
ased
h
ea
t
s
tr
o
k
e
p
r
ev
e
n
tio
n
d
ev
ice
h
as
d
e
m
o
n
s
tr
ated
r
em
ar
k
ab
le
p
r
ed
ictiv
e
p
er
f
o
r
m
an
ce
,
p
ar
ticu
lar
ly
th
r
o
u
g
h
th
e
u
tili
za
tio
n
o
f
R
FC
.
W
ith
an
i
m
p
r
ess
iv
e
ac
cu
r
ac
y
r
ate
o
f
8
7
%,
th
e
R
FC
ex
h
ib
ited
ex
ce
p
tio
n
al
p
r
o
wess
in
f
o
r
e
ca
s
tin
g
th
e
lik
elih
o
o
d
o
f
h
ea
t
s
tr
o
k
e
o
cc
u
r
r
e
n
ce
s
.
Mo
r
eo
v
er
,
p
r
ec
is
io
n
,
r
ec
all,
a
n
d
F1
-
s
co
r
e
m
etr
ics,
s
tan
d
i
n
g
at
0
.
8
4
,
0
.
8
,
an
d
0
.
8
6
r
esp
ec
tiv
ely
,
u
n
d
er
s
co
r
e
d
th
e
class
if
ier
'
s
r
o
b
u
s
tn
ess
in
ac
cu
r
ately
id
en
tify
i
n
g
ca
s
es
o
f
h
ea
t
s
tr
o
k
e
r
is
k
.
T
h
ese
m
etr
ics
co
llectiv
ely
h
ig
h
lig
h
t
th
e
d
ev
ice'
s
ca
p
ab
ilit
y
to
m
in
im
ize
b
o
t
h
f
alse
p
o
s
itiv
e
an
d
f
alse
n
eg
ativ
es,
en
s
u
r
in
g
r
eliab
le
an
d
p
r
ec
is
e
p
r
ed
ictio
n
s
.
Sig
n
if
ican
ce
o
f
f
ea
tu
r
es:
a
co
m
p
r
eh
e
n
s
iv
e
an
aly
s
is
o
f
f
ea
tu
r
e
s
ig
n
if
ican
ce
r
ev
ea
led
in
v
alu
ab
le
in
s
ig
h
ts
in
to
th
e
f
ac
to
r
s
in
f
lu
e
n
cin
g
h
ea
t
s
tr
o
k
e
s
u
s
ce
p
tib
ilit
y
.
Ph
y
s
io
lo
g
ical
m
et
r
ics
s
u
ch
as
b
lo
o
d
p
r
ess
u
r
e,
p
u
ls
e
r
ate,
an
d
b
o
d
y
tem
p
er
at
u
r
e
em
er
g
ed
as
s
ig
n
if
ican
t
p
r
e
d
icto
r
s
,
r
ea
f
f
ir
m
in
g
th
eir
p
iv
o
t
al
r
o
le
in
ass
es
s
in
g
v
u
ln
er
ab
ilit
ies
ass
o
ciate
d
with
h
ea
t
-
r
elate
d
d
is
o
r
d
er
s
.
B
y
p
r
i
o
r
itizin
g
th
ese
p
h
y
s
io
lo
g
ical
m
ea
s
u
r
es
an
d
th
eir
in
tr
icate
in
ter
p
lay
with
en
v
ir
o
n
m
en
tal
f
ac
to
r
s
,
th
e
class
if
ier
en
h
an
ce
s
p
r
ed
ictio
n
ac
cu
r
ac
y
an
d
r
eliab
ilit
y
,
o
f
f
er
in
g
a
n
u
an
ce
d
u
n
d
e
r
s
tan
d
in
g
o
f
h
ea
t
-
r
elate
d
r
is
k
s
.
E
f
f
i
c
i
e
n
cy
o
f
r
ea
l
-
tim
e
m
o
n
ito
r
in
g
:
th
e
d
ev
ice'
s
r
ea
l
-
tim
e
m
o
n
ito
r
in
g
ca
p
ab
ilit
ies
h
av
e
f
ac
ilit
ated
ea
r
ly
id
en
tifi
ca
tio
n
o
f
h
ea
t
-
r
elate
d
h
az
ar
d
s
,
en
ab
lin
g
p
r
o
m
p
t
in
ter
v
en
tio
n
an
d
p
r
ev
e
n
tiv
e
m
ea
s
u
r
es.
Seam
less
in
teg
r
atio
n
o
f
Fire
b
ase
with
th
e
R
ea
ct
web
ap
p
licatio
n
h
as
em
p
o
wer
ed
u
s
er
s
with
ac
tio
n
ab
le
in
s
ig
h
ts
t
h
r
o
u
g
h
ef
f
ec
t
iv
e
d
ata
s
y
n
ch
r
o
n
izatio
n
an
d
v
is
u
aliza
tio
n
.
B
y
g
r
an
tin
g
u
s
er
s
ac
ce
s
s
to
r
ea
l
-
tim
e
h
ea
lth
m
ea
s
u
r
em
en
ts
an
d
p
r
ed
ictiv
e
a
n
aly
tics
,
th
e
d
ev
ice
e
n
h
an
ce
s
s
itu
atio
n
al
awa
r
en
ess
an
d
f
o
s
ter
s
p
r
o
ac
tiv
e
h
ea
lth
m
an
ag
em
en
t,
u
ltima
tely
lead
in
g
t
o
im
p
r
o
v
e
d
h
ea
lth
o
u
tco
m
es a
n
d
o
v
e
r
all
well
-
b
ein
g
.
4.
CO
NCLU
SI
O
N
T
h
e
d
e
v
elo
p
m
e
n
t
o
f
I
o
T
s
en
s
o
r
s
to
d
etec
t
h
ea
t
s
tr
o
k
e
is
a
r
ev
o
lu
tio
n
ar
y
s
tep
to
war
d
s
t
h
e
p
r
o
tectio
n
o
f
p
u
b
lic
h
ea
lth
an
d
s
af
ety
.
W
ith
th
e
h
elp
o
f
th
ese
s
tate
-
of
-
th
e
-
ar
t
to
o
ls
,
a
n
ew
ag
e
o
f
p
r
o
ac
tiv
e
ap
p
r
o
ac
h
es
h
as
b
eg
u
n
,
o
n
e
th
at
allo
ws
f
o
r
ea
r
ly
d
iag
n
o
s
is
,
o
n
g
o
in
g
m
o
n
ito
r
in
g
,
a
n
d
p
r
o
m
p
t
alar
m
s
to
r
ed
u
ce
th
e
r
is
k
s
an
d
av
o
id
h
ea
t
-
r
elate
d
illn
ess
es.
I
o
T
s
en
s
o
r
s
p
r
o
v
id
e
u
n
m
atch
ed
p
r
ec
is
io
n
,
ef
f
icien
cy
,
an
d
d
ep
e
n
d
ab
ilit
y
co
m
p
ar
ed
t
o
tr
ad
itio
n
al
a
p
p
r
o
ac
h
es,
wh
ich
f
r
e
q
u
en
tly
f
ai
l
to
d
eliv
er
tim
ely
in
s
ig
h
ts
an
d
th
o
r
o
u
g
h
r
is
k
ass
es
s
m
en
ts
.
T
h
is
i
s
d
em
o
n
s
tr
ated
b
y
th
o
r
o
u
g
h
an
aly
s
is
an
d
r
ea
l
-
wo
r
ld
im
p
lem
en
tatio
n
s
ce
n
ar
io
s
.
Fu
r
th
er
m
o
r
e
,
th
e
g
ad
g
ets'
ea
s
y
-
to
-
u
s
e
war
n
in
g
m
ec
h
a
n
is
m
s
im
p
r
o
v
e
t
h
eir
ac
ce
s
s
ib
ilit
y
an
d
u
s
ef
u
ln
ess
,
g
u
ar
an
teein
g
th
at
th
o
s
e
wh
o
ar
e
s
u
s
ce
p
tib
le
to
h
ea
t
s
tr
o
k
e
r
ec
eiv
e
cr
itical
m
ed
ical
atten
tio
n
p
r
o
m
p
tly
.
T
h
e
ef
f
icien
t
d
is
tr
ib
u
tio
n
o
f
v
ital
in
f
o
r
m
atio
n
m
a
d
e
p
o
s
s
ib
le
b
y
th
ese
s
y
s
tem
s
in
cr
ea
s
es
th
e
o
v
er
all
ef
f
icac
y
o
f
p
r
o
g
r
a
m
s
aim
ed
at
p
r
ev
en
tin
g
h
ea
t stro
k
e.
I
n
th
e
co
m
in
g
y
ea
r
s
,
th
e
f
ield
o
f
h
ea
t
s
tr
o
k
e
d
etec
tio
n
is
ex
p
ec
ted
to
s
ee
s
ig
n
if
ican
t
p
r
o
g
r
ess
d
u
e
to
co
n
tin
u
o
u
s
b
r
ea
k
th
r
o
u
g
h
s
in
m
ac
h
in
e
lear
n
in
g
alg
o
r
ith
m
s
,
clo
u
d
-
b
ased
s
y
s
tem
s
,
an
d
s
en
s
o
r
tech
n
o
lo
g
y
.
T
h
ese
d
ev
elo
p
m
e
n
ts
co
u
ld
p
r
o
v
id
e
in
ter
n
et
o
f
th
in
g
s
d
ev
ice
s
p
r
ev
io
u
s
ly
u
n
h
ea
r
d
-
o
f
lev
els
o
f
ca
p
ab
ilit
y
.
W
ith
m
ac
h
in
e
lear
n
i
n
g
alg
o
r
ith
m
s
'
ca
p
ac
ity
to
im
p
r
o
v
e
p
r
ed
icti
o
n
m
o
d
els,
m
o
r
e
ac
c
u
r
ate
an
d
cu
s
to
m
ized
r
is
k
ass
es
s
m
en
ts
m
ay
b
ec
o
m
e
p
o
s
s
ib
le.
W
h
ile
ad
v
an
ce
s
in
s
en
s
o
r
tech
n
o
lo
g
y
ca
n
p
r
o
v
id
e
p
r
o
m
p
t in
ter
v
en
tio
n
an
d
p
r
ev
en
t
h
ea
t
-
r
elate
d
d
is
ea
s
es,
th
ey
ca
n
also
b
o
o
s
t
s
en
s
itiv
ity
an
d
r
eliab
ilit
y
.
C
lo
u
d
-
b
ase
d
s
o
lu
tio
n
s
p
r
o
v
id
e
ce
n
tr
alize
d
d
ata
s
to
r
ag
e
a
n
d
p
r
o
ce
s
s
in
g
,
s
p
ee
d
in
g
u
p
m
o
n
ito
r
in
g
an
d
r
esp
o
n
s
e
tim
e
s
.
I
n
th
e
en
d
,
th
e
th
o
u
g
h
t
f
u
l
u
s
e
o
f
in
ter
n
et
o
f
th
in
g
s
s
o
lu
tio
n
s
f
o
r
h
ea
t
s
tr
o
k
e
d
etec
tio
n
h
av
e
th
e
p
o
ten
tial
to
co
m
p
letely
tr
an
s
f
o
r
m
p
u
b
lic
h
ea
lth
p
r
o
t
o
co
ls
b
y
e
n
ab
lin
g
p
r
ev
en
tativ
e
ac
tio
n
s
th
at,
b
y
ca
r
ef
u
lly
u
ti
lizin
g
cu
ttin
g
-
e
d
g
e
tech
n
o
lo
g
ies,
m
ig
h
t sav
e
co
u
n
tles
s
liv
es in
h
o
t settin
g
s
.
F
UNDING
I
NF
O
R
M
A
T
I
O
N
Au
th
o
r
s
s
tate
n
o
f
u
n
d
in
g
in
v
o
lv
ed
.
AUTHO
R
CO
NT
RI
B
UT
I
O
NS ST
A
T
E
M
E
N
T
T
h
is
jo
u
r
n
al
u
s
es
th
e
C
o
n
tr
ib
u
to
r
R
o
les
T
ax
o
n
o
m
y
(
C
R
ed
iT)
to
r
ec
o
g
n
ize
in
d
iv
id
u
al
au
th
o
r
co
n
tr
ib
u
tio
n
s
,
r
ed
u
ce
au
th
o
r
s
h
ip
d
is
p
u
tes,
an
d
f
ac
ilit
ate
co
lla
b
o
r
atio
n
.
T
h
e
co
n
tr
ib
u
tio
n
o
f
au
th
o
r
s
is
s
h
o
wn
in
f
o
llo
win
g
tab
le.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8
7
0
8
I
n
tern
et
o
f th
in
g
s
h
ea
ts
tr
o
ke
d
etec
tio
n
d
ev
ice
(
S
w
a
ti P
a
til
)
543
Na
m
e
o
f
Aut
ho
r
C
M
So
Va
Fo
I
R
D
O
E
Vi
Su
P
Fu
Swati Patil
✓
✓
✓
✓
✓
✓
✓
R
u
g
v
ed
R
av
in
d
r
a
Ku
lk
ar
n
i
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
Kar
is
h
m
a
Pra
s
h
an
t
Salu
n
k
h
e
✓
✓
✓
✓
✓
Vid
it Pr
av
in
Ag
r
awa
l
✓
✓
✓
✓
C
:
C
o
n
c
e
p
t
u
a
l
i
z
a
t
i
o
n
M
:
M
e
t
h
o
d
o
l
o
g
y
So
:
So
f
t
w
a
r
e
Va
:
Va
l
i
d
a
t
i
o
n
Fo
:
Fo
r
mal
a
n
a
l
y
s
i
s
I
:
I
n
v
e
s
t
i
g
a
t
i
o
n
R
:
R
e
so
u
r
c
e
s
D
:
D
a
t
a
C
u
r
a
t
i
o
n
O
:
W
r
i
t
i
n
g
-
O
r
i
g
i
n
a
l
D
r
a
f
t
E
:
W
r
i
t
i
n
g
-
R
e
v
i
e
w
&
E
d
i
t
i
n
g
Vi
:
Vi
su
a
l
i
z
a
t
i
o
n
Su
:
Su
p
e
r
v
i
s
i
o
n
P
:
P
r
o
j
e
c
t
a
d
mi
n
i
st
r
a
t
i
o
n
Fu
:
Fu
n
d
i
n
g
a
c
q
u
i
si
t
i
o
n
CO
NF
L
I
C
T
O
F
I
N
T
E
R
E
S
T
ST
A
T
E
M
E
NT
Au
th
o
r
s
tates n
o
co
n
f
lict o
f
in
t
er
est.
DATA AV
AI
L
AB
I
L
I
T
Y
T
h
e
au
th
o
r
s
d
o
n
o
t
tak
e
a
n
y
s
u
p
p
o
r
t f
o
r
th
e
f
in
d
i
n
g
s
.
RE
F
E
R
E
NC
E
S
[
1
]
S
.
Ja
v
e
d
,
S
.
G
h
a
z
a
l
a
,
a
n
d
U
.
F
a
see
h
a
,
“
P
e
r
sp
e
c
t
i
v
e
s
o
f
h
e
a
t
st
r
o
k
e
sh
i
e
l
d
:
A
n
I
o
T
b
a
se
d
s
o
l
u
t
i
o
n
f
o
r
t
h
e
d
e
t
e
c
t
i
o
n
a
n
d
p
r
e
l
i
mi
n
a
r
y
t
r
e
a
t
me
n
t
o
f
h
e
a
t
s
t
r
o
k
e
,
”
E
n
g
i
n
e
e
r
i
n
g
,
T
e
c
h
n
o
l
o
g
y
&
Ap
p
l
i
e
d
S
c
i
e
n
c
e
Re
se
a
rc
h
,
v
o
l
.
1
0
,
n
o
.
2
,
p
p
.
5
5
7
6
–
5
5
8
0
,
A
p
r
.
2
0
2
0
,
d
o
i
:
1
0
.
4
8
0
8
4
/
e
t
a
sr
.
3
2
7
4
.
[
2
]
T.
H
a
mat
a
n
i
,
A
.
U
c
h
i
y
a
m
a
,
a
n
d
T
.
H
i
g
a
s
h
i
n
o
,
“
H
e
a
t
W
a
t
c
h
:
P
r
e
v
e
n
t
i
n
g
h
e
a
t
s
t
r
o
k
e
u
s
i
n
g
a
smar
t
w
a
t
c
h
,
”
i
n
2
0
1
7
I
E
EE
I
n
t
e
r
n
a
t
i
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
Pe
r
v
a
si
v
e
C
o
m
p
u
t
i
n
g
a
n
d
C
o
m
m
u
n
i
c
a
t
i
o
n
s
W
o
rks
h
o
p
s
(
P
e
rC
o
m
W
o
r
k
sh
o
p
s)
,
M
a
r
.
2
0
1
7
,
p
p
.
6
6
1
–
666
,
d
o
i
:
1
0
.
1
1
0
9
/
P
ER
C
O
M
W
.
2
0
1
7
.
7
9
1
7
6
4
2
.
[
3
]
A
.
R
a
n
t
a
,
S
.
O
z
t
u
r
k
,
M
.
W
a
sa
y
,
M
.
G
i
r
o
u
d
,
Y
.
B
é
j
o
t
,
a
n
d
J
.
R
e
i
s,
“
E
n
v
i
r
o
n
m
e
n
t
a
l
f
a
c
t
o
r
s
a
n
d
s
t
r
o
k
e
:
R
i
s
k
a
n
d
p
r
e
v
e
n
t
i
o
n
,
”
J
o
u
rn
a
l
o
f
t
h
e
N
e
u
r
o
l
o
g
i
c
a
l
S
c
i
e
n
c
e
s
,
v
o
l
.
4
5
4
,
p
.
1
2
0
8
6
0
,
N
o
v
.
2
0
2
3
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
j
n
s.
2
0
2
3
.
1
2
0
8
6
0
.
[
4
]
J.
G
h
a
h
r
e
ma
n
i
n
a
h
r
,
H
.
N
o
z
a
r
i
,
a
n
d
M
.
E.
S
a
d
e
g
h
i
,
“
A
r
t
i
f
i
c
i
a
l
i
n
t
e
l
l
i
g
e
n
c
e
a
n
d
ma
c
h
i
n
e
l
e
a
r
n
i
n
g
f
o
r
r
e
a
l
-
w
o
r
l
d
p
r
o
b
l
e
ms
(
a
su
r
v
e
y
)
,
”
I
n
t
e
rn
a
t
i
o
n
a
l
J
o
u
r
n
a
l
o
f
I
n
n
o
v
a
t
i
o
n
i
n
E
n
g
i
n
e
e
r
i
n
g
,
v
o
l
.
1
,
n
o
.
3
,
p
p
.
3
8
–
4
7
,
O
c
t
.
2
0
2
1
,
d
o
i
:
1
0
.
5
9
6
1
5
/
i
j
i
e
.
1
.
3
.
3
8
.
[
5
]
I
.
S
e
r
g
i
e
t
a
l
.
,
“
A
n
I
o
T
-
a
w
a
r
e
smar
t
sy
st
e
m
t
o
d
e
t
e
c
t
t
h
e
r
ma
l
c
o
mf
o
r
t
i
n
i
n
d
u
s
t
r
i
a
l
e
n
v
i
r
o
n
me
n
t
s,
”
i
n
2
0
2
1
6
t
h
I
n
t
e
r
n
a
t
i
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
S
m
a
rt
a
n
d
S
u
s
t
a
i
n
a
b
l
e
T
e
c
h
n
o
l
o
g
i
e
s (
S
p
l
i
T
e
c
h
)
,
S
e
p
.
2
0
2
1
,
p
p
.
1
–
6
,
d
o
i
:
1
0
.
2
3
9
1
9
/
S
p
l
i
Te
c
h
5
2
3
1
5
.
2
0
2
1
.
9
5
6
6
3
7
8
.
[
6
]
Y
.
H
i
r
a
n
o
e
t
a
l
.
,
“
M
a
c
h
i
n
e
l
e
a
r
n
i
n
g
-
b
a
s
e
d
m
o
r
t
a
l
i
t
y
p
r
e
d
i
c
t
i
o
n
m
o
d
e
l
f
o
r
h
e
a
t
-
r
e
l
a
t
e
d
i
l
l
n
e
s
s,
”
S
c
i
e
n
t
i
f
i
c
Re
p
o
r
t
s
,
v
o
l
.
1
1
,
n
o
.
1
,
p
.
9
5
0
1
,
M
a
y
2
0
2
1
,
d
o
i
:
1
0
.
1
0
3
8
/
s4
1
5
9
8
-
0
2
1
-
8
8
5
8
1
-
1.
[
7
]
W
.
A
l
k
a
ss
a
s,
A
.
M
.
R
a
j
a
b
,
S
.
T.
A
l
r
a
sh
o
o
d
,
M
.
A
.
K
h
a
n
,
M
.
D
i
b
a
s
,
a
n
d
M
.
Za
m
a
n
,
“
H
e
a
t
-
r
e
l
a
t
e
d
i
l
l
n
e
sses
i
n
a
mass
g
a
t
h
e
r
i
n
g
e
v
e
n
t
a
n
d
t
h
e
n
e
c
e
ss
i
t
y
f
o
r
n
e
w
e
r
d
i
a
g
n
o
s
t
i
c
c
r
i
t
e
r
i
a
:
a
f
i
e
l
d
st
u
d
y
,
”
E
n
v
i
ro
n
m
e
n
t
a
l
S
c
i
e
n
c
e
a
n
d
Po
l
l
u
t
i
o
n
Re
sea
r
c
h
,
v
o
l
.
2
8
,
n
o
.
1
3
,
p
p
.
1
6
6
8
2
–
1
6
6
8
9
,
A
p
r
.
2
0
2
1
,
d
o
i
:
1
0
.
1
0
0
7
/
s
1
1
3
5
6
-
020
-
1
2
1
5
4
-
4.
[
8
]
A
.
Ta
k
a
d
a
e
t
a
l
.
,
“
C
o
m
p
u
t
e
d
a
n
d
mea
s
u
r
e
d
c
o
r
e
t
e
m
p
e
r
a
t
u
r
e
o
f
p
a
t
i
e
n
t
s
w
i
t
h
h
e
a
t
st
r
o
k
e
t
r
a
n
sp
o
r
t
e
d
f
r
o
m
t
h
e
i
r
h
o
m
e
s
v
i
a
a
mb
u
l
a
n
c
e
,
”
I
E
EE
Ac
c
e
ss
,
v
o
l
.
1
0
,
p
p
.
4
1
8
3
9
–
4
1
8
5
1
,
2
0
2
2
,
d
o
i
:
1
0
.
1
1
0
9
/
A
C
C
ESS
.
2
0
2
2
.
3
1
6
7
5
2
0
.
[
9
]
V
.
K
a
r
ma
n
i
,
A
.
A
.
C
h
a
n
d
i
o
,
P
.
K
a
r
man
i
,
M
.
C
h
a
n
d
i
o
,
a
n
d
I
.
A
.
K
o
r
e
j
o
,
“
T
o
w
a
r
d
s
s
e
l
f
-
a
w
a
r
e
h
e
a
t
st
r
o
k
e
e
a
r
l
y
-
w
a
r
n
i
n
g
sy
s
t
e
m
b
a
s
e
d
o
n
h
e
a
l
t
h
c
a
r
e
I
o
T,
”
i
n
2
0
1
9
T
h
i
rd
Wo
rl
d
C
o
n
f
e
r
e
n
c
e
o
n
S
m
a
rt
T
re
n
d
s
i
n
S
y
st
e
m
s
S
e
c
u
r
i
t
y
a
n
d
S
u
s
t
a
i
n
a
b
l
i
t
y
(
W
o
r
l
d
S
4
)
,
J
u
l
.
2
0
1
9
,
p
p
.
5
9
–
63
,
d
o
i
:
1
0
.
1
1
0
9
/
W
o
r
l
d
S
4
.
2
0
1
9
.
8
9
0
4
0
0
6
.
[
1
0
]
S
.
R
o
y
,
D
.
P
.
M
i
s
h
r
a
,
R
.
M
.
B
h
a
t
t
a
c
h
a
r
j
e
e
,
a
n
d
H
.
A
g
r
a
w
a
l
,
“
Ef
f
e
c
t
o
f
h
e
a
t
s
t
r
e
ss
a
n
d
d
e
v
e
l
o
p
me
n
t
o
f
W
B
G
T
b
a
s
e
d
h
e
a
t
s
t
r
e
ss
p
r
e
d
i
c
t
i
o
n
m
o
d
e
l
s
f
o
r
u
n
d
e
r
g
r
o
u
n
d
c
o
a
l
m
i
n
e
r
s
u
si
n
g
r
a
n
d
o
m
f
o
r
e
s
t
a
l
g
o
r
i
t
h
m
a
n
d
a
r
t
i
f
i
c
i
a
l
n
e
u
r
a
l
n
e
t
w
o
r
k
,
”
S
S
RN
El
e
c
t
ro
n
i
c
J
o
u
rn
a
l
,
2
0
2
1
,
d
o
i
:
1
0
.
2
1
3
9
/
ssr
n
.
3
9
9
4
1
6
3
.
[
1
1
]
M
.
O
.
R
i
e
d
l
,
“
H
u
ma
n
‐
c
e
n
t
e
r
e
d
a
r
t
i
f
i
c
i
a
l
i
n
t
e
l
l
i
g
e
n
c
e
a
n
d
m
a
c
h
i
n
e
l
e
a
r
n
i
n
g
,
”
H
u
m
a
n
Be
h
a
v
i
o
r a
n
d
Em
e
r
g
i
n
g
T
e
c
h
n
o
l
o
g
i
e
s
,
v
o
l
.
1
,
n
o
.
1
,
p
p
.
3
3
–
3
6
,
J
a
n
.
2
0
1
9
,
d
o
i
:
1
0
.
1
0
0
2
/
h
b
e
2
.
1
1
7
.
[
1
2
]
R
.
B
.
V
e
n
u
g
o
p
a
l
a
n
d
R
.
D
u
d
h
e
,
“
I
o
T
b
a
s
e
d
a
d
v
a
n
c
e
d
h
e
a
t
s
t
r
o
k
e
a
l
a
r
m
s
y
s
t
e
m
,
”
i
n
2
0
2
1
I
n
t
e
r
n
a
t
i
o
n
a
l
C
o
n
f
e
r
e
n
c
e
o
n
C
o
m
p
u
t
a
t
i
o
n
a
l
I
n
t
e
l
l
i
g
e
n
c
e
a
n
d
K
n
o
w
l
e
d
g
e
E
c
o
n
o
m
y
(
I
C
C
I
K
E
)
,
M
a
r
.
2
0
2
1
,
p
p
.
4
5
7
–
4
6
2
,
d
o
i
:
1
0
.
1
1
0
9
/
I
C
C
I
K
E
5
1
2
1
0
.
2
0
2
1
.
9
4
1
0
7
2
6
.
[
1
3
]
S.
-
S
.
Li
n
,
C
.
-
W
.
La
n
,
H
.
-
Y
.
H
s
u
,
a
n
d
S
.
-
T.
C
h
e
n
,
“
D
a
t
a
a
n
a
l
y
t
i
c
s
o
f
a
w
e
a
r
a
b
l
e
d
e
v
i
c
e
f
o
r
h
e
a
t
st
r
o
k
e
d
e
t
e
c
t
i
o
n
,
”
S
e
n
s
o
rs
,
v
o
l
.
1
8
,
n
o
.
1
2
,
p
.
4
3
4
7
,
D
e
c
.
2
0
1
8
,
d
o
i
:
1
0
.
3
3
9
0
/
s
1
8
1
2
4
3
4
7
.
[
1
4
]
T.
W
.
S
o
n
,
D
.
A
.
R
a
m
l
i
,
a
n
d
A
.
A
.
A
z
i
z
,
“
W
e
a
r
a
b
l
e
h
e
a
t
s
t
r
o
k
e
d
e
t
e
c
t
i
o
n
s
y
st
e
m
i
n
I
o
T
-
b
a
s
e
d
e
n
v
i
r
o
n
me
n
t
,
”
Pr
o
c
e
d
i
a
C
o
m
p
u
t
e
r
S
c
i
e
n
c
e
,
v
o
l
.
1
9
2
,
p
p
.
3
6
8
6
–
3
6
9
5
,
2
0
2
1
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
p
r
o
c
s.
2
0
2
1
.
0
9
.
1
4
2
.
[
1
5
]
H
.
M
o
mo
s
e
e
t
a
l
.
,
“
H
e
a
t
s
t
r
o
k
e
r
i
s
k
i
n
f
o
r
m
i
n
g
s
y
st
e
m
u
s
i
n
g
w
e
a
r
a
b
l
e
p
e
r
s
p
i
r
a
t
i
o
n
r
a
t
e
met
e
r
o
n
u
s
e
r
s
u
n
d
e
r
g
o
i
n
g
p
h
y
s
i
c
a
l
e
x
e
r
c
i
s
e
,
”
S
c
i
e
n
t
i
f
i
c
R
e
p
o
r
t
s
,
v
o
l
.
1
3
,
n
o
.
1
,
p
.
4
1
6
,
J
a
n
.
2
0
2
3
,
d
o
i
:
1
0
.
1
0
3
8
/
s4
1
5
9
8
-
0
2
3
-
2
7
4
9
2
-
9.
[
1
6
]
K
.
M
a
t
s
u
i
a
n
d
K
.
S
a
k
a
i
,
“
A
p
r
o
p
o
sa
l
f
o
r
a
d
y
n
a
mi
c
d
i
g
i
t
a
l
ma
p
t
o
p
r
e
v
e
n
t
h
e
a
t
s
t
r
o
k
e
u
s
i
n
g
I
o
T
d
a
t
a
,
”
A
d
v
a
n
c
e
s
i
n
I
n
t
e
l
l
i
g
e
n
t
S
y
s
t
e
m
s
a
n
d
C
o
m
p
u
t
i
n
g
,
2
0
2
0
,
p
p
.
1
2
0
5
–
1
2
1
6
,
d
o
i
:
1
0
.
1
0
0
7
/
9
7
8
-
3
-
0
3
0
-
1
5
0
3
2
-
7
_
1
0
1
.
[
1
7
]
R
.
E
d
i
r
i
si
n
g
h
e
a
n
d
L
.
G
u
n
a
t
h
i
l
a
k
e
,
“
I
o
T
-
b
a
se
d
sm
a
r
t
v
e
s
t
f
o
r
h
e
a
t
st
r
e
s
s
man
a
g
e
me
n
t
i
n
c
o
n
st
r
u
c
t
i
o
n
,
”
I
n
t
e
rn
a
t
i
o
n
a
l
J
o
u
r
n
a
l
o
f
C
o
n
st
r
u
c
t
i
o
n
Ma
n
a
g
e
m
e
n
t
,
v
o
l
.
2
5
,
n
o
.
1
6
,
p
p
.
2
1
3
7
–
2
1
4
9
,
D
e
c
.
2
0
2
5
,
d
o
i
:
1
0
.
1
0
8
0
/
1
5
6
2
3
5
9
9
.
2
0
2
5
.
2
5
0
4
5
5
0
.
[
1
8
]
J.
Y
u
,
S
.
P
a
r
k
,
S
.
-
H
.
K
w
o
n
,
C
.
M
.
B
.
H
o
,
C
.
-
S
.
P
y
o
,
a
n
d
H
.
L
e
e
,
“
AI
-
b
a
s
e
d
s
t
r
o
k
e
d
i
se
a
se
p
r
e
d
i
c
t
i
o
n
sy
s
t
e
m
u
si
n
g
r
e
a
l
-
t
i
m
e
e
l
e
c
t
r
o
my
o
g
r
a
p
h
y
s
i
g
n
a
l
s,
”
A
p
p
l
i
e
d
S
c
i
e
n
c
e
s
,
v
o
l
.
1
0
,
n
o
.
1
9
,
p
.
6
7
9
1
,
S
e
p
.
2
0
2
0
,
d
o
i
:
1
0
.
3
3
9
0
/
a
p
p
1
0
1
9
6
7
9
1
.
[
1
9
]
A
.
G
,
B
.
M
,
F
.
J,
I
.
R
,
a
n
d
I
.
R
,
“
S
u
n
st
r
o
k
e
d
e
t
e
c
t
i
o
n
sy
s
t
e
m
,
”
I
n
t
e
r
n
a
t
i
o
n
a
l
J
o
u
rn
a
l
o
f
M
u
l
t
i
d
i
s
c
i
p
l
i
n
a
r
y
R
e
s
e
a
r
c
h
i
n
S
c
i
e
n
c
e
,
En
g
i
n
e
e
ri
n
g
a
n
d
T
e
c
h
n
o
l
o
g
y
,
v
o
l
.
7
,
n
o
.
1
0
,
p
p
.
1
6
0
0
4
–
1
6
0
0
9
,
2
0
2
4
,
d
o
i
:
1
0
.
1
5
6
8
0
/
I
JM
R
S
ET
.
2
0
2
4
.
0
7
1
0
0
5
9
.
[
2
0
]
T.
H
a
ma
t
a
n
i
,
A
.
U
c
h
i
y
a
ma,
a
n
d
T.
H
i
g
a
s
h
i
n
o
,
“
Es
t
i
m
a
t
i
n
g
c
o
r
e
b
o
d
y
t
e
m
p
e
r
a
t
u
r
e
b
a
se
d
o
n
h
u
ma
n
t
h
e
r
m
a
l
m
o
d
e
l
u
s
i
n
g
w
e
a
r
a
b
l
e
sen
s
o
r
s,
”
i
n
Pro
c
e
e
d
i
n
g
s
o
f
t
h
e
3
0
t
h
A
n
n
u
a
l
A
C
M
S
y
m
p
o
si
u
m
o
n
Ap
p
l
i
e
d
C
o
m
p
u
t
i
n
g
,
A
p
r
.
2
0
1
5
,
p
p
.
5
2
1
–
526
,
doi
:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
7
0
8
I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
1
6
,
No
.
1
,
Feb
r
u
ar
y
20
2
6
:
5
3
5
-
544
544
1
0
.
1
1
4
5
/
2
6
9
5
6
6
4
.
2
6
9
5
7
6
5
.
[
2
1
]
T.
Ta
m
u
r
a
,
M
.
H
u
a
n
g
,
T.
Y
o
s
h
i
m
u
r
a
,
S
.
U
mez
u
,
a
n
d
T.
O
g
a
t
a
,
“
A
n
a
d
v
a
n
c
e
d
i
n
t
e
r
n
e
t
o
f
t
h
i
n
g
s
s
y
st
e
m
f
o
r
h
e
a
t
st
r
o
k
e
p
r
e
v
e
n
t
i
o
n
w
i
t
h
a
n
o
n
i
n
v
a
si
v
e
d
u
a
l
-
h
e
a
t
-
f
l
u
x
t
h
e
r
mo
me
t
e
r
,
”
S
e
n
s
o
rs
,
v
o
l
.
2
2
,
n
o
.
2
4
,
p
.
9
9
8
5
,
D
e
c
.
2
0
2
2
,
d
o
i
:
1
0
.
3
3
9
0
/
s2
2
2
4
9
9
8
5
.
[
2
2
]
K
.
S
i
l
a
w
a
r
a
w
e
t
,
P
.
K
a
e
w
c
h
u
k
u
l
,
a
n
d
S
.
S
a
a
d
p
r
a
i
,
“
H
e
a
t
st
r
o
k
e
w
a
r
n
i
n
g
s
y
st
e
m
p
r
o
t
o
t
y
p
e
f
o
r
a
t
h
l
e
t
e
s
:
a
p
i
l
o
t
st
u
d
y
,
”
S
e
n
s
o
rs
,
v
o
l
.
2
5
,
n
o
.
2
,
p
.
2
9
4
,
Ja
n
.
2
0
2
5
,
d
o
i
:
1
0
.
3
3
9
0
/
s
2
5
0
2
0
2
9
4
.
[
2
3
]
L.
K
e
Y
i
n
,
S
.
Y
o
g
a
r
a
y
a
n
,
S
.
F
.
A
b
d
u
l
R
a
z
a
k
,
U
.
A
l
i
B
u
k
a
r
,
a
n
d
M
.
S
.
S
a
y
e
e
d
,
“
H
e
a
t
s
t
r
o
k
e
p
r
e
d
i
c
t
i
o
n
:
a
p
e
r
sp
e
c
t
i
v
e
f
r
o
m
t
h
e
i
n
t
e
r
n
e
t
o
f
t
h
i
n
g
s
a
n
d
m
a
c
h
i
n
e
l
e
a
r
n
i
n
g
a
p
p
r
o
a
c
h
,
”
I
n
t
e
r
n
a
t
i
o
n
a
l
J
o
u
r
n
a
l
o
f
E
l
e
c
t
r
i
c
a
l
a
n
d
C
o
m
p
u
t
e
r
E
n
g
i
n
e
e
ri
n
g
(
I
J
E
C
E)
,
v
o
l
.
1
4
,
n
o
.
3
,
p
.
3
4
2
7
,
J
u
n
.
2
0
2
4
,
d
o
i
:
1
0
.
1
1
5
9
1
/
i
j
e
c
e
.
v
1
4
i
3
.
p
p
3
4
2
7
-
3
4
3
3
.
[
2
4
]
S
.
D
u
g
g
a
l
,
P
.
K
a
u
r
,
M
.
K
u
mar
,
a
n
d
V
.
B
h
a
r
d
w
a
j
,
“
I
o
T
-
e
n
a
b
l
e
d
f
o
g
c
o
m
p
u
t
i
n
g
f
r
a
mew
o
r
k
:
h
e
a
t
s
t
r
o
k
e
r
i
s
k
a
n
a
l
y
s
i
s,
”
J
o
u
r
n
a
l
o
f
C
l
o
u
d
C
o
m
p
u
t
i
n
g
,
v
o
l
.
1
4
,
n
o
.
1
,
p
.
5
1
,
S
e
p
.
2
0
2
5
,
d
o
i
:
1
0
.
1
1
8
6
/
s1
3
6
7
7
-
0
2
5
-
0
0
7
7
6
-
3.
[
2
5
]
B
.
C
h
a
n
d
e
r
,
S
.
P
a
l
,
D
.
D
e
,
a
n
d
R
.
B
u
y
y
a
,
“
A
r
t
i
f
i
c
i
a
l
i
n
t
e
l
l
i
g
e
n
c
e
-
b
a
s
e
d
i
n
t
e
r
n
e
t
o
f
t
h
i
n
g
s
f
o
r
I
n
d
u
s
t
r
y
5
.
0
,
”
2
0
2
2
,
p
p
.
3
–
45
,
d
o
i
:
1
0
.
1
0
0
7
/
9
7
8
-
3
-
030
-
8
7
0
5
9
-
1
_
1
.
[
2
6
]
A
.
Y
a
t
su
d
a
,
T.
H
a
r
a
m
a
k
i
,
a
n
d
H
.
N
i
s
h
i
n
o
,
“
A
n
u
n
s
o
l
i
c
i
t
e
d
h
e
a
t
st
r
o
k
e
a
l
e
r
t
s
y
st
e
m
f
o
r
t
h
e
e
l
d
e
r
l
y
,
”
i
n
2
0
1
7
I
E
EE
I
n
t
e
rn
a
t
i
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
C
o
n
su
m
e
r E
l
e
c
t
r
o
n
i
c
s
-
T
a
i
w
a
n
(
I
C
C
E
-
T
W)
,
J
u
n
.
2
0
1
7
,
p
p
.
3
4
5
–
346
,
d
o
i
:
1
0
.
1
1
0
9
/
I
C
C
E
-
C
h
i
n
a
.
2
0
1
7
.
7
9
9
1
1
3
7
.
[
2
7
]
D
u
c
k
G
u
n
P
a
r
k
,
S
e
u
n
g
C
h
u
l
S
h
i
n
,
S
u
n
g
W
o
n
K
a
n
g
,
a
n
d
Y
o
u
n
Ta
e
K
i
m,
“
D
e
v
e
l
o
p
me
n
t
o
f
f
l
e
x
i
b
l
e
se
l
f
a
d
h
e
s
i
v
e
p
a
t
c
h
f
o
r
p
r
o
f
e
ss
i
o
n
a
l
h
e
a
t
st
r
e
ss
mo
n
i
t
o
r
i
n
g
se
r
v
i
c
e
,
”
i
n
2
0
0
5
I
EE
E
E
n
g
i
n
e
e
r
i
n
g
i
n
Me
d
i
c
i
n
e
a
n
d
Bi
o
l
o
g
y
2
7
t
h
A
n
n
u
a
l
C
o
n
f
e
r
e
n
c
e
,
2
0
0
5
,
p
p
.
3
7
8
9
–
3
7
9
2
,
d
o
i
:
1
0
.
1
1
0
9
/
I
EM
B
S
.
2
0
0
5
.
1
6
1
7
3
0
9
.
B
I
O
G
RAP
H
I
E
S O
F
AUTH
O
RS
S
wa
ti
Pa
t
il
re
c
e
iv
e
d
th
e
B.
E
n
g
g
.
d
e
g
re
e
in
e
lec
tro
n
ics
a
n
d
te
lec
o
m
m
u
n
ica
ti
o
n
fro
m
S
a
v
it
ri
b
a
i
P
h
u
le
P
u
n
e
Un
i
v
e
rsity
,
In
d
ia,
in
2
0
0
2
a
n
d
t
h
e
M
.
E.
d
e
g
re
e
in
e
lec
tro
n
ics
a
n
d
tele
c
o
m
m
u
n
ica
ti
o
n
fro
m
M
u
m
b
a
i
Un
i
v
e
rsity
i
n
2
0
0
8
.
P
h
.
D.
d
e
g
r
e
e
s
in
a
n
ten
n
a
d
o
m
a
in
fr
o
m
S
a
v
it
rib
a
i
P
h
u
le
P
u
n
e
Un
i
v
e
rsity
in
2
0
2
5
,
sh
e
is
a
n
As
sista
n
t
P
r
o
fe
ss
o
r
a
t
t
h
e
De
p
a
rtme
n
t
o
f
El
e
c
tro
n
ics
a
n
d
Tele
c
o
m
m
u
n
i
c
a
ti
o
n
E
n
g
i
n
e
e
rin
g
,
a
t
P
imp
r
i
Ch
i
n
c
h
wa
d
C
o
ll
e
g
e
o
f
En
g
i
n
e
e
rin
g
,
Nig
d
i,
P
u
n
e
.
He
r
re
se
a
rc
h
in
tere
sts
in
c
lu
d
e
wire
les
s
c
o
m
m
u
n
ica
ti
o
n
,
ima
g
e
p
ro
c
e
ss
in
g
,
c
o
n
tr
o
l
a
n
d
a
u
to
m
a
ti
o
n
,
b
io
l
o
g
ica
l
e
ffe
c
ts
o
f
m
icro
wa
v
e
s,
a
n
te
n
n
a
,
a
n
d
tele
m
e
d
icin
e
.
S
h
e
h
a
s
p
u
b
li
s
h
e
d
m
o
re
th
a
n
2
0
p
a
p
e
rs
i
n
n
a
ti
o
n
a
l
a
n
d
in
tern
a
ti
o
n
a
l
jo
u
rn
a
ls
.
S
h
e
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
sw
a
ti
n
a
k
sh
tram
@g
m
a
il
.
c
o
m
.
Ru
g
v
e
d
R
a
v
i
n
d
r
a
K
u
l
k
a
r
n
i
i
s
a
n
e
lec
tr
o
n
ics
a
n
d
tel
e
c
o
m
m
u
n
i
c
a
ti
o
n
e
n
g
i
n
e
e
r
i
n
g
st
u
d
e
n
t
a
t
P
im
p
ri
C
h
i
n
c
h
wa
d
C
o
l
le
g
e
o
f
E
n
g
i
n
e
e
ri
n
g
,
Ni
g
d
i,
P
u
n
e
.
He
is
i
n
ter
e
st
e
d
in
r
e
se
a
r
c
h
a
n
d
h
e
l
p
i
n
g
s
o
c
i
e
t
y
t
o
s
o
l
v
e
d
i
ffe
re
n
t
p
r
o
b
lem
s
fa
c
e
d
b
y
se
c
t
i
o
n
s
o
f
so
c
ie
t
y
.
H
e
wa
n
t
s
t
o
h
e
l
p
so
c
ie
ty
t
h
r
o
u
g
h
h
is
k
n
o
wle
d
g
e
o
f
sc
ie
n
c
e
a
n
d
te
c
h
n
o
l
o
g
y
.
M
o
re
s
p
e
c
if
ica
ll
y
,
h
e
is
i
n
t
e
re
s
te
d
i
n
in
te
r
n
e
t
o
f
t
h
i
n
g
s
,
m
a
c
h
in
e
lea
r
n
in
g
,
a
r
t
if
icia
l
i
n
te
ll
i
g
e
n
c
e
t
o
s
o
l
v
e
p
r
o
b
lem
s
i
n
t
h
e
m
e
d
ica
l
d
o
m
a
i
n
.
He
c
a
n
b
e
c
o
n
tac
te
d
a
t
e
m
a
il
:
r
u
g
v
e
d
.
k
u
l
k
a
r
n
i
2
0
1
@
g
m
a
il
.
c
o
m
.
K
a
r
is
h
m
a
P
r
a
sh
a
n
t
S
a
l
u
n
k
h
e
is
a
n
e
lec
tr
o
n
ics
a
n
d
t
e
lec
o
m
m
u
n
i
c
a
t
i
o
n
e
n
g
in
e
e
r
i
n
g
s
t
u
d
e
n
t
a
t
P
im
p
ri
C
h
i
n
c
h
wa
d
C
o
ll
e
g
e
o
f
E
n
g
i
n
e
e
r
i
n
g
,
Ni
g
d
i
,
P
u
n
e
.
S
h
e
is
i
n
ter
e
st
e
d
in
re
se
a
rc
h
a
n
d
h
e
l
p
i
n
g
s
o
c
ie
ty
t
o
s
o
l
v
e
d
i
ffe
re
n
t
p
r
o
b
lem
s
fa
c
e
d
b
y
se
c
t
io
n
s
o
f
s
o
c
ie
ty
.
S
h
e
wa
n
ts
t
o
h
e
l
p
s
o
c
ie
t
y
t
h
r
o
u
g
h
h
e
r
k
n
o
w
le
d
g
e
o
f
sc
ie
n
c
e
a
n
d
tec
h
n
o
l
o
g
y
.
M
o
re
s
p
e
c
i
fic
a
l
l
y
,
s
h
e
is
i
n
t
e
re
s
te
d
i
n
i
n
ter
n
e
t
o
f
t
h
i
n
g
s,
m
a
c
h
i
n
e
lea
r
n
i
n
g
,
a
r
t
if
icia
l
i
n
tel
l
ig
e
n
c
e
t
o
s
o
l
v
e
p
r
o
b
lem
s
i
n
th
e
m
e
d
ica
l
d
o
m
a
i
n
.
S
h
e
c
a
n
b
e
c
o
n
t
a
c
te
d
a
t
e
m
a
i
l:
k
a
ris
h
m
a
.
sa
l
u
n
k
h
e
2
0
@
p
c
c
o
e
p
u
n
e
.
o
r
g
.
Vid
it
Pra
v
in
Ag
r
a
w
a
l
is
a
n
e
lec
tro
n
ics
a
n
d
tele
c
o
m
m
u
n
ic
a
ti
o
n
e
n
g
i
n
e
e
rin
g
stu
d
e
n
t
a
t
P
imp
ri
C
h
in
c
h
wa
d
Co
l
leg
e
o
f
En
g
i
n
e
e
rin
g
,
Nig
d
i
,
P
u
n
e
.
He
is
in
tere
ste
d
in
re
se
a
rc
h
a
n
d
h
e
l
p
in
g
so
c
iety
to
so
lv
e
d
iffe
re
n
t
p
ro
b
lem
s
fa
c
e
d
b
y
se
c
ti
o
n
s
o
f
so
c
iety
.
He
wa
n
ts
to
h
e
lp
so
c
iety
th
r
o
u
g
h
h
is k
n
o
wle
d
g
e
o
f
sc
ien
c
e
a
n
d
tec
h
n
o
l
o
g
y
.
M
o
re
sp
e
c
ifi
c
a
ll
y
,
h
e
is i
n
tere
ste
d
in
in
tern
e
t
o
f
th
i
n
g
s
,
m
a
c
h
in
e
lea
rn
in
g
,
a
rti
ficia
l
in
tell
ig
e
n
c
e
to
so
l
v
e
p
ro
b
lem
s
in
t
h
e
m
e
d
ica
l
d
o
m
a
in
.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
v
id
i
t.
a
g
ra
wa
l2
0
@
p
c
c
o
e
p
u
n
e
.
o
rg
.
Evaluation Warning : The document was created with Spire.PDF for Python.