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ev
ac
u
ee
s
to
ex
it
s
a
f
el
y
.
I
n
[
9
]
,
th
e
au
th
o
r
p
r
o
p
o
s
ed
an
FP
GA
b
ased
f
ir
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w
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o
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y
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te
m
wh
ich
p
r
o
v
id
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t
h
e
i
n
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th
e
f
lo
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w
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er
e
th
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f
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o
cc
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r
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ed
.
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h
e
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te
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I
o
T
w
it
h
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SN
w
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o
r
f
ir
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d
etec
tio
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n
d
aler
ti
n
g
ap
p
licatio
n
[
1
0
]
.
R
FID
d
ev
ices
an
d
w
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s
s
s
e
n
s
o
r
s
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t
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d
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h
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d
d
ig
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to
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id
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p
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p
le
th
r
o
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g
h
a
s
af
e
r
o
u
te
[
1
1
]
[
1
3
]
.
T
o
en
h
an
ce
ev
ac
u
atio
n
,
p
lan
a
Sit
u
atio
n
-
Aw
ar
e
S
y
s
te
m
is
u
s
ed
in
w
h
ic
h
en
d
-
u
s
er
s
p
ec
if
ic
b
u
s
in
e
s
s
r
u
le
s
w
er
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cr
ea
ted
th
at
p
r
ac
ticall
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h
elp
s
ac
tio
n
s
co
n
ce
r
n
i
n
g
e
v
ac
u
atio
n
p
lan
s
[
1
4
]
.
B
u
ild
in
g
I
n
f
o
r
m
atio
n
Mo
d
elin
g
(
B
I
M)
to
o
ls
ca
n
b
e
u
s
ed
to
cr
ea
te
a
v
ir
tu
al
en
v
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o
n
m
e
n
t
f
o
r
f
ir
e
e
m
er
g
e
n
c
y
ev
ac
u
atio
n
[
1
5
]
,
[
1
6
]
.
A
r
escu
e
o
p
er
atio
n
d
u
r
i
n
g
f
ir
e
e
m
er
g
en
c
y
ca
n
b
e
f
a
s
ten
ed
u
s
i
n
g
c
lo
u
d
-
b
ased
R
esc
u
e
W
o
r
k
er
I
n
ter
f
a
ce
(
R
W
I
)
w
h
ich
a
s
s
is
t
s
r
esc
u
e
w
ar
d
en
b
y
p
r
o
v
in
g
r
ea
l
-
ti
m
e
i
n
f
o
r
m
atio
n
o
f
b
u
ild
in
g
f
ir
e,
th
e
f
lo
w
o
f
f
ir
e,
p
eo
p
le
d
en
s
it
y
,
a
n
d
p
o
s
itio
n
o
f
r
e
m
ai
n
i
n
g
w
ar
d
en
[
1
7
]
[
1
8
]
.
I
n
[
1
9
]
,
th
e
au
th
o
r
p
r
o
p
o
s
ed
a
s
y
s
te
m
w
h
ic
h
f
o
r
m
u
la
tes
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ea
l
-
ti
m
e
e
v
ac
u
atio
n
p
ath
b
ased
o
n
r
ea
l
-
ti
m
e
d
ata
ac
q
u
is
itio
n
a
n
d
ca
lcu
latio
n
s
o
f
r
is
k
d
is
tr
ib
u
tio
n
s
.
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n
ca
s
e
o
f
f
ir
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ev
e
n
ts
s
y
s
t
e
m
p
r
o
v
id
es
d
ir
ec
tio
n
al
g
u
id
an
ce
co
n
ce
r
n
i
n
g
th
e
ti
m
e
a
n
d
lo
ca
tio
n
o
f
f
ir
e
ac
ci
d
en
ts
[
2
0
]
.
GI
S
an
d
I
o
T
tech
n
o
lo
g
y
is
u
s
ed
to
o
b
tain
in
f
o
r
m
atio
n
ab
o
u
t
th
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u
ild
in
g
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u
r
th
er
,
t
h
e
ev
ac
u
ati
o
n
p
ath
h
a
s
b
ee
n
e
s
ti
m
ated
u
s
in
g
Ma
tlab
[
2
1
]
.
Z
ig
B
ee
b
ased
f
ir
e
alar
m
i
n
g
a
n
d
p
r
ev
en
tio
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s
y
s
te
m
is
p
r
o
p
o
s
ed
in
[
2
2
]
.
I
n
[
2
3
]
,
a
m
o
tio
n
d
et
ec
tio
n
s
en
s
o
r
b
ased
p
er
s
o
n
d
e
tectio
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tec
h
n
iq
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e
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d
is
cu
s
s
ed
f
o
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I
o
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ased
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ir
e
ev
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at
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n
a
s
s
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y
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te
m
.
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s
u
d
d
en
ch
a
n
g
e
in
th
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m
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ti
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n
o
f
a
n
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n
d
iv
id
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al
in
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o
w
d
is
d
etec
ted
b
y
t
h
e
o
p
tical
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lo
w
m
o
d
el
[
2
4
]
.
I
n
d
o
o
r
n
av
i
g
atio
n
an
d
ev
ac
u
atio
n
ca
n
b
e
im
p
r
o
v
ed
u
s
i
n
g
a
m
o
b
ile
ter
m
i
n
al
b
ase
d
ap
p
lik
e
E
as
y
Go
[
2
5
]
.
T
o
d
ea
l
w
it
h
o
u
td
o
o
r
ev
ac
u
at
io
n
U
AV
is
p
r
ef
er
r
ed
[
2
6
]
.
L
o
R
a,
w
h
ic
h
is
lo
w
p
o
w
er
an
d
lo
n
g
-
r
an
g
e
co
m
m
u
n
icati
o
n
tech
n
o
lo
g
y
,
i
s
i
n
tr
o
d
u
ce
d
in
[
2
7
]
.
I
n
[
3
0
]
,
th
e
a
u
th
o
r
s
u
g
g
e
s
ted
a
s
y
s
te
m
w
i
th
a
m
e
s
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n
et
w
o
r
k
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f
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s
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d
p
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lan
n
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tr
a
teg
y
w
h
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d
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t
s
f
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v
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t
aler
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ab
o
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t
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n
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m
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en
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o
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p
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s
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d
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m
p
a
r
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tab
le
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s
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g
d
ep
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in
T
a
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le1
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ab
le
1
.
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h
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y
U
se
r
I
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t
e
r
f
a
c
e
[
1
]
R
a
s
p
b
e
r
r
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P
i
L
M
3
5
S
mo
k
e
S
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so
r
G
a
s Se
n
so
r
(
M
Q
9
)
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D
S
G
S
M
N
o
w
o
r
k
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n
e
v
a
c
u
a
t
i
o
n
[
3
]
n
R
F
2
4
L
0
1
t
r
a
n
sce
i
v
e
r
s
,
L
a
p
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w
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A
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F
l
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me
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r
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s
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c
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t
r
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v
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s
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T
M
L
/
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S
S
b
a
se
d
w
e
b
si
t
e
[
5
]
A
r
d
u
n
i
o
R
F
M
2
3
B
R
F
I
D
,
L
M
3
5
,
H
C
-
0
5
,
P
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R
S
e
n
so
r
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I
M
B
l
u
e
t
o
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t
h
A
u
d
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o
S
i
g
n
a
l
,
S
M
S
o
n
u
se
r
mo
b
i
l
e
.
[
4
]
M
o
b
i
l
e
P
h
o
n
e
w
i
t
h
R
F
I
D
R
e
a
d
e
r
c
a
p
a
b
i
l
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t
y
R
F
I
D
t
a
g
s
P
a
t
h
P
l
a
n
n
e
r
,
V
i
e
w
p
o
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n
t
C
a
l
c
u
l
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r
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a
n
d
M
o
b
i
X
3
D
R
F
I
D
t
e
c
h
n
o
l
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g
y
M
o
b
i
l
e
p
h
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-
b
a
se
d
A
p
p
[
7
]
M
o
b
i
l
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P
h
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n
e
w
i
t
h
N
F
C
a
n
d
R
F
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D
r
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d
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c
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a
n
d
R
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se
n
so
r
t
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3
D
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w
p
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C
l
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d
C
o
mp
u
t
i
n
g
M
o
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l
e
P
h
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e
[
9
]
F
P
G
A
,
M
i
c
r
o
c
o
n
t
r
o
l
l
e
r
T
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mp
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me
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ET
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i
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r
a
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sce
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v
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r
D
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A
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r
o
v
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f
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r
[
1
2
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Z
i
g
b
e
e
,
R
F
I
D
T
e
mp
e
r
a
t
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r
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u
mi
d
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t
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d
L
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h
t
M
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W
S
N
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c
h
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o
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y
L
C
D
D
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[
1
7
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M
i
c
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t
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r
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mo
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B
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[
2
1
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I
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,
A
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3
5
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H
C
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5
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r
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l
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[
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T
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b
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2
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[
50]
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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3.
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VACU
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3
.
1
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F
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s
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n
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t
in
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v
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s
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u
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s
af
e
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at
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p
ath
d
is
p
la
y
[
3
3
].
Fig
u
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1
.
Fire
s
en
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in
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ies
[
3
1
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3
.
2
.
H
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rdwa
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la
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s
Af
ter
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u
r
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2
s
h
o
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.
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d
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a
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s
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[
3
4
]
3
.
2
.
1.
Ra
s
pb
er
ry
pi
I
t
is
c
h
ea
p
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in
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co
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o
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ti
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ter
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et
to
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asp
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E
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ltip
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s
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3
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2
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2.
Arduin
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b
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a
rd
A
r
d
u
i
n
o
b
o
ar
d
s
ar
e
eq
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ip
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w
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th
m
a
n
y
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ig
ita
l
in
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ts
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tp
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t
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ca
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n
ter
f
ac
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h
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if
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t
e
x
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s
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s
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s
h
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d
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th
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eq
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ed
cir
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its
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h
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d
s
f
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w
it
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m
m
u
n
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ter
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ch
as
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w
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ich
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p
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g
r
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m
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f
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p
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co
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p
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ter
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.
T
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b
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ca
n
b
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p
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am
m
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m
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la
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ag
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s
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ch
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3
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2
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3
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2
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4
.
DSP
DSP
is
a
k
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d
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f
p
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s
s
o
r
f
o
r
p
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ti
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n
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cid
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n
al
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n
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d
to
b
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p
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ed
in
r
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h
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p
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DSP
n
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1
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3.
3.
Si
m
ula
t
io
n t
o
o
ls
3.
3
.
1.
B
I
M
B
u
ild
in
g
I
n
f
o
r
m
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n
Mo
d
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g
(
B
I
M)
p
r
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ac
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m
a
k
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t
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t
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d
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m
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n
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(
3
D)
an
d
ca
r
r
y
o
u
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d
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s
aster
p
r
ev
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n
tio
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ac
ti
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s
.
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f
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t
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s
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i
n
t
h
e
d
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o
f
f
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p
r
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s
a
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an
alar
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n
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s
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.
e.
g
.
B
I
M
3
6
0
,
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to
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it
,
etc.
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u
ild
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ac
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th
e
p
r
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lem
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f
p
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2
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ased
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s
.
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asic
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s
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f
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M
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ased
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ti
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it is
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t
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th
is
m
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h
el
p
s
to
p
r
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v
id
e
in
f
o
r
m
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n
s
u
c
h
as r
escu
e
co
n
d
itio
n
s
,
ev
ac
u
ati
o
n
p
ath
s
,
etc
[
3
5
]
.
3.
3
.
2.
G
I
S
Sp
atial
o
r
g
eo
g
r
ap
h
ical
i
n
f
o
r
m
atio
n
ca
n
b
e
ac
h
ie
v
ed
t
h
r
o
u
g
h
a
s
o
f
t
w
ar
e
to
o
l
s
u
c
h
as
a
g
eo
g
r
ap
h
ic
in
f
o
r
m
atio
n
s
y
s
te
m
(
GI
S)
[
3
6
]
.
I
t
co
n
tain
s
ac
ti
v
itie
s
s
u
c
h
as
c
ap
tu
r
e,
s
to
r
e,
m
a
n
ip
u
late,
a
n
al
y
ze
s
,
m
a
n
ag
e,
a
n
d
p
r
esen
t
.
GI
S
a
n
d
C
A
D
i
n
te
g
r
atio
n
h
elp
s
to
v
is
u
alize
g
eo
s
p
atial
in
f
o
r
m
at
i
o
n
f
r
o
m
v
ar
io
u
s
lo
ca
tio
n
s
o
f
th
e
b
u
ild
in
g
d
u
r
i
n
g
a
f
ir
e
e
m
er
g
en
c
y
.
T
h
e
GI
S
is
u
s
ed
to
s
i
m
u
late
ev
ac
u
atio
n
e
n
v
ir
o
n
m
en
t
an
d
to
v
is
u
a
lize
ev
ac
u
at
io
n
p
r
o
ce
s
s
.
I
n
[
3
7
]
,
t
h
e
au
t
h
o
r
p
r
esen
ted
a
m
u
lti
-
a
g
e
n
t
-
b
ased
f
ir
e
ev
ac
u
atio
n
m
o
d
e
l,
in
w
h
ic
h
GI
S
i
s
u
s
ed
to
ca
p
tu
r
e
th
e
g
eo
s
p
atial
d
ata
o
f
ag
en
t
s
an
d
tr
ac
e
its
lo
c
atio
n
an
d
p
r
o
v
id
e
a
s
af
e
e
x
it p
ath
.
3.
3
.3
.
F
DS
Fire
D
y
n
a
m
ic
s
Si
m
u
lato
r
(
FDS)
is
a
f
ir
e
-
d
r
iv
en
f
l
u
id
f
lo
w
m
o
d
el
w
it
h
co
m
p
u
tat
io
n
al
f
l
u
id
d
y
n
a
m
ics.
I
t
is
a
s
o
r
t
o
f
a
s
i
m
u
latio
n
to
o
l
d
ev
elo
p
ed
b
y
NI
S
T
'
s
B
u
ild
i
n
g
Fire
R
e
s
ea
r
ch
L
a
b
o
r
ato
r
y
.
FDS
ca
n
an
al
y
ze
t
h
r
ee
-
d
i
m
e
n
s
io
n
al
f
ir
es
v
er
y
q
u
ick
l
y
[
3
8
]
.
T
h
is
en
a
b
les
s
i
m
u
lat
io
n
o
f
s
m
o
k
e
an
d
h
ea
t
tr
an
s
f
er
f
r
o
m
f
ir
e,
b
esid
es
,
FD
S
p
r
o
v
id
es
a
f
ir
e
d
etec
to
r
a
n
d
w
ater
s
p
r
in
k
ler
an
al
y
s
i
s
.
P
y
r
o
Si
m
i
s
a
k
i
n
d
o
f
s
i
m
u
latio
n
to
o
l
ca
n
b
e
u
s
ed
as a
Fire
D
y
n
a
m
ic
Si
m
u
lato
r
(
FDS).
I
t c
an
also
b
e
u
s
ed
to
s
i
m
u
late
t
h
e
m
o
tio
n
o
f
p
eo
p
le.
3.
3
.4
.
M
AT
L
AB
MA
T
L
A
B
b
ased
i
m
ag
e
p
r
o
ce
s
s
i
n
g
ca
n
b
e
u
s
ed
to
d
etec
t
a
f
ir
e
ac
cid
en
t.
An
y
C
C
T
V
ca
m
er
a
m
o
u
n
ted
in
t
h
e
b
u
i
ld
in
g
p
r
e
m
is
e
s
w
ill
ta
k
e
t
h
e
i
n
p
u
t
i
m
ag
e
f
o
r
th
e
d
ev
ice
f
r
o
m
v
id
eo
in
r
ea
l
-
ti
m
e.
I
n
itiall
y
,
w
e
n
ee
d
to
s
ep
ar
ate
th
e
f
ir
e
a
n
d
b
ac
k
g
r
o
u
n
d
f
r
o
m
th
e
r
ec
ei
v
ed
i
m
ag
e
u
s
i
n
g
t
h
e
co
lo
r
s
eg
m
en
tat
io
n
m
et
h
o
d
.
Fu
r
th
er
,
f
ir
e
g
r
o
w
t
h
i
s
esti
m
ated
b
y
co
m
p
ar
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g
t
w
o
co
n
s
ec
u
ti
v
e
f
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e
i
m
a
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I
f
f
ir
e
g
r
o
w
t
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n
ti
n
u
es
o
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er
ce
r
tain
i
m
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g
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t
h
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e
m
e
r
g
en
c
y
alar
m
is
s
w
itc
h
ed
o
n
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th
e
co
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s
cr
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n
d
i
s
p
lay
s
t
h
e
r
ea
l
-
ti
m
e
v
id
eo
w
it
h
th
e
f
ir
e
in
d
icatio
n
in
r
ed
co
lo
r
.
MA
T
L
A
B
r
o
b
o
tics
p
ac
k
ag
e
h
as
b
ee
n
u
s
e
d
to
p
er
f
o
r
m
p
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p
lan
n
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.
M
A
T
L
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to
o
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x
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n
b
e
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s
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to
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lc
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ased
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Fig
u
r
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3
d
is
p
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tatio
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f
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ased
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Deta
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o
ls
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n
T
ab
le
3
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
10
,
No
.
6
,
Dec
em
b
er
2
0
2
0
:
6
6
4
4
-
6
6
5
4
6648
I
n
p
u
t
I
m
a
g
e
C
o
l
o
r
S
e
g
m
e
n
t
a
t
i
o
n
5
F
r
a
m
e
D
i
f
f
e
r
e
n
c
e
O
u
t
p
u
t
I
m
a
g
e
A
l
a
r
m
Fig
u
r
e
3
.
MA
T
L
A
B
b
ased
i
m
ag
e
p
r
o
ce
s
s
in
g
f
o
r
f
ir
e
d
etec
tio
n
[
3
1
]
T
ab
le
3
.
C
o
m
p
ar
is
o
n
o
f
s
i
m
u
l
atio
n
t
o
o
ls
u
s
ed
to
d
esi
g
n
s
m
a
r
t f
ir
e
d
etec
tio
n
an
d
s
a
f
e
ev
ac
u
atio
n
s
y
s
te
m
S
o
u
r
c
e
S
o
f
t
w
a
r
e
T
o
o
l
U
se
c
a
se
s
i
n
F
i
r
e
safe
t
y
[
7
]
M
o
b
i
x
3
D
T
o
sh
o
w
a
3
D
v
i
e
w
o
f
t
h
e
e
x
i
t
p
a
t
h
[
1
9
]
C
A
D
3
D
F
l
o
o
r
d
e
si
g
n
[
2
9
]
F
D
S
T
o
d
e
t
e
r
mi
n
e
t
h
e
f
l
o
w
o
f
f
i
r
e
[
3
4
]
B
I
M
3
D
d
i
me
n
s
i
o
n
a
l
b
u
i
l
d
i
n
g
v
i
su
a
l
i
z
a
t
i
o
n
[
3
7
]
G
I
S
F
o
r
d
e
si
g
n
i
n
g
r
o
u
t
i
n
g
se
r
v
i
c
e
[
3
1
]
M
A
TL
A
B
I
mag
e
p
r
o
c
e
ssi
n
g
f
o
r
f
i
r
e
d
e
t
e
c
t
i
o
n
3.
4.
Co
mm
un
ica
t
io
n t
ec
hn
o
l
o
g
y
Sen
s
o
r
s
ar
e
t
h
e
en
d
d
ev
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s
t
h
at
ar
e
m
ea
n
t
to
co
llect
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i
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u
s
en
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n
m
e
n
tal
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ar
a
m
eter
s
f
o
r
ea
r
l
y
d
etec
tio
n
o
f
f
ir
e.
T
h
ese
s
en
s
o
r
s
ar
e
co
n
n
ec
ted
i
n
a
s
u
ita
b
le
t
y
p
e
o
f
n
et
w
o
r
k
f
o
r
s
m
o
o
th
co
m
m
u
n
icatio
n
a
m
o
n
g
th
e
m
.
Fo
llo
w
i
n
g
ar
e
th
e
co
m
m
u
n
icatio
n
tec
h
n
o
lo
g
y
p
r
ef
er
r
ed
b
y
r
esear
ch
er
s
:
3.
4
.
1
.
Z
ig
bee
I
t
is
a
w
ir
ele
s
s
co
m
m
u
n
icati
o
n
tech
n
o
lo
g
y
b
ased
o
n
I
E
E
E
8
0
2
.
1
5
.
4
,
u
s
ed
f
o
r
r
em
o
te
lo
w
-
p
o
w
er
d
ig
ital
r
ad
io
s
an
d
au
to
m
a
tio
n
.
I
t
is
u
s
ed
f
o
r
v
ar
io
u
s
ap
p
licatio
n
s
li
k
e
m
o
n
ito
r
i
n
g
h
y
d
r
an
t,
f
ir
e
alar
m
i
n
g
s
y
s
te
m
,
p
r
ed
ictin
g
s
a
f
e
e
x
it
p
ath
,
etc.
,
in
f
ir
e
d
e
tectio
n
an
d
s
af
e
e
v
ac
u
at
io
n
s
y
s
te
m
.
T
h
e
p
h
y
s
ica
l
r
an
g
e
o
f
Z
i
g
B
ee
w
ir
eles
s
co
m
m
u
n
icati
o
n
is
ab
o
u
t
1
0
to
2
0
m
eter
s
a
n
d
it
v
ar
ies ac
co
r
d
in
g
to
en
v
ir
o
n
m
e
n
tal
co
n
d
itio
n
s
.
Fig
u
r
e
4
d
is
p
lay
s
t
h
e
f
lo
w
d
iag
r
a
m
o
f
a
w
ir
eless
s
e
n
s
o
r
n
et
w
o
r
k
.
I
t
u
s
e
s
s
m
al
l
an
d
lo
w
p
o
w
er
ed
r
ad
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d
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an
d
it c
o
n
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u
m
es les
s
a
m
o
u
n
t
of
p
o
w
er
to
tr
an
s
m
it a
n
d
r
ec
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e
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ata.
Fig
u
r
e
4
.
Flo
w
d
iag
r
a
m
o
f
w
ir
eless
s
e
n
s
o
r
n
et
w
o
r
k
3.
4
.
2
.
RF
I
D
R
ad
io
-
Fre
q
u
e
n
c
y
I
d
en
ti
f
icatio
n
ta
g
(
R
FID
)
u
s
es
r
ad
io
w
a
v
es
to
r
ea
d
an
d
co
llect
ta
g
i
n
f
o
r
m
atio
n
attac
h
ed
to
an
y
o
b
j
ec
t.
I
t
ca
n
d
etec
t
an
d
r
ea
d
f
r
o
m
s
ev
er
al
f
ee
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i
s
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n
ce
an
d
it
n
o
t
n
ee
d
s
to
b
e
w
ith
in
L
o
S.
I
n
m
a
n
y
r
esear
ch
w
o
r
k
s
R
FID
ta
g
s
ar
e
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s
ed
to
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n
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t
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ate
e
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ac
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n
p
at
h
a
n
d
in
s
o
m
e
ca
s
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,
it
i
s
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to
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n
o
w
t
h
e
d
en
s
it
y
o
f
p
eo
p
le
in
a
p
ar
ticu
lar
r
eg
i
o
n
.
T
h
e
R
FID
-
b
ased
m
o
d
u
le
u
s
ed
to
ca
lcu
late
th
e
d
en
s
i
t
y
o
f
i
n
d
iv
id
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als
i
n
ea
ch
r
o
o
m
an
d
to
p
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ed
ict
an
alg
o
r
ith
m
-
b
a
s
ed
ev
ac
u
at
io
n
p
ath
.
T
h
is
R
FID
r
ea
d
er
r
ec
eiv
es si
g
n
als
f
r
o
m
all
ta
g
s
an
d
d
ec
id
es
w
h
er
e
ea
ch
ta
g
is
lo
ca
ted
u
s
in
g
a
u
n
iq
u
e
n
u
m
b
er
.
3.
4
.
3
.
B
luet
o
o
t
h
B
lu
eto
o
th
is
a
w
ir
eles
s
tec
h
n
o
lo
g
y
u
s
ed
f
o
r
th
e
e
x
c
h
an
g
e
o
f
d
ata
b
et
w
ee
n
f
ix
ed
a
n
d
m
o
b
i
le
d
ev
ices
f
o
r
s
h
o
r
t
-
r
an
g
e
co
m
m
u
n
icat
io
n
.
I
t's
v
er
y
s
u
itab
le
f
o
r
I
o
T
-
b
ased
ap
p
licatio
n
s
b
ec
au
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3
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]
.
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2.
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nte
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ated
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r
a
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ex
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p
ath
s
m
a
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h
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w
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o
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g
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esti
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p
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ased
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n
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ti
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.
Fig
u
r
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6
d
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4
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I
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I
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u
r
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.
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d
y
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a
m
ic
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la
y
4.
3.
H
a
rdwa
re
s
elec
t
io
n & c
us
t
o
m
iza
t
io
n
T
h
e
s
elec
tio
n
o
f
h
ar
d
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ar
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eter
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ile
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n
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te
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.
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e
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ar
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eter
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r
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o
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h
ar
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[
4
4
]
.
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n
s
tead
o
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n
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ized
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ize.
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e
y
p
ar
am
eter
i
n
r
e
s
cu
e
o
p
er
atio
n
d
u
r
in
g
a
f
ir
e
e
v
e
n
t
a
n
d
i
t
i
s
p
ar
t
iall
y
ad
d
r
ess
ed
till
n
o
w
[
4
5
]
5
[
4
6
]
.
W
e
n
ee
d
to
in
s
tall
an
ef
f
ec
ti
v
e
s
y
s
te
m
t
h
at
ca
n
m
ea
s
u
r
e
s
e
v
er
al
p
er
s
o
n
s
s
tu
ck
in
a
f
ir
e.
Mo
tio
n
s
en
s
o
r
s
,
R
FID
,
I
P
B
ased
ca
m
e
r
a
,
etc,
ar
e
th
e
s
o
lu
tio
n
f
o
r
m
e
asu
r
i
n
g
p
eo
p
le
's
d
en
s
it
y
.
5.
NO
VE
L
A
RCH
I
T
E
C
T
UR
E
F
O
R
F
I
RE
DE
T
E
CT
I
O
N
A
ND
E
VAC
UAT
I
O
N
E
ar
ly
d
etec
tio
n
o
f
f
ir
e
h
elp
s
to
r
ed
u
ce
m
aj
o
r
ca
s
u
altie
s
a
n
d
s
a
v
es
t
h
e
li
f
e
o
f
h
u
m
a
n
b
ein
g
s
an
d
p
r
o
p
er
ty
.
I
n
t
h
e
v
ie
w
o
f
th
is
g
en
er
al
ar
ch
itec
tu
r
e
o
f
s
m
ar
t
f
ir
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d
etec
tio
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an
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e
v
ac
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atio
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s
te
m
i
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g
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e
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ted
i
n
Fig
u
r
e
7
.
I
t
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co
n
s
titu
ted
b
y
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n
d
d
ev
ices,
C
o
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tr
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llin
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it,
C
en
tr
al
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U
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it
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a
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n
d
-
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er
I
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P
o
p
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co
m
m
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tech
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ies s
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ch
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s
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lu
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Fig
u
r
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7.
A
n
o
v
el
ar
ch
itec
tu
r
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f
o
r
f
ir
e
d
etec
tio
n
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d
e
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at
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te
m
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
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&
C
o
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p
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I
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N:
2
0
8
8
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Dev
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d
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Ga
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S
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ir
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6651
5
.
1
.
E
nd
dev
ices
T
h
e
k
e
y
co
m
p
o
n
e
n
t
o
f
o
u
r
s
y
s
te
m
is
en
d
d
e
v
ices,
w
h
ic
h
p
l
a
y
t
h
e
r
o
le
o
f
co
llecti
n
g
v
al
u
ab
le
d
ata.
T
h
e
co
llected
d
ata
lik
e
te
m
p
er
atu
r
e,
h
u
m
id
it
y
ca
n
b
e
u
s
ed
to
d
ec
id
e
th
e
f
ir
e
ac
cid
e
n
t
a
n
d
t
ak
e
f
u
r
t
h
er
ac
tio
n
.
T
h
ese
en
d
d
ev
ices
in
v
o
lv
e
s
e
n
s
o
r
s
s
u
ch
as
te
m
p
er
atu
r
e
s
e
n
s
o
r
,
s
m
o
k
e
s
en
s
o
r
,
h
u
m
id
it
y
s
en
s
o
r
s
,
ac
tu
ato
r
s
s
u
c
h
as
s
p
r
in
k
ler
s
y
s
te
m
f
o
r
co
n
tr
o
llin
g
f
ir
e,
I
P
b
ased
C
C
T
V
f
o
r
f
in
d
in
g
th
e
f
lo
w
o
f
f
ir
e
an
d
d
etec
tin
g
n
u
m
b
er
p
eo
p
le
in
s
id
e
th
e
b
u
i
l
d
in
g
a
n
d
led
d
is
p
la
y
f
o
r
g
u
id
i
n
g
p
eo
p
le
to
s
af
e
ex
it
[
4
7
]
7
[
4
8
]
.
5
.
2
.
Co
ntr
o
llin
g
unit
T
h
ese
d
ev
ices
ar
e
co
n
tr
o
llin
g
th
e
e
n
d
d
ev
ice
s
t
h
r
o
u
g
h
W
i
-
F
i
an
d
o
r
B
lu
e
to
o
th
.
T
h
e
y
ar
e
ca
p
ab
le
to
co
llect
d
ata
f
r
o
m
s
en
s
o
r
s
an
d
ca
m
er
a
s
a
n
d
f
u
r
th
er
b
ased
o
n
p
r
o
g
r
am
m
i
n
g
it
w
i
ll
ac
t
u
ate
t
h
e
s
p
r
in
k
ler
s
y
s
te
m
an
d
L
E
D
d
is
p
la
y
ac
co
r
d
in
g
l
y
.
T
h
e
c
o
n
tr
o
lli
n
g
u
n
it
ca
n
b
e
o
f
a
n
y
m
icr
o
co
n
tr
o
ller
/Micr
o
p
r
o
ce
s
s
o
r
-
b
ased
s
y
s
te
m
s
u
ch
a
s
A
r
d
u
i
n
o
,
R
a
s
p
b
er
r
y
P
i,
E
SP
8
2
6
6
,
etc.
I
t
is
en
ab
led
w
it
h
a
w
ir
ele
s
s
p
r
o
to
co
l
s
u
ch
as
Z
i
g
B
ee
[
4
9
]
.
5
.
3
.
Cent
ra
l
c
o
ntr
o
llin
g
un
it
I
t
ac
ts
as
a
m
ed
iato
r
b
et
w
e
en
th
e
co
n
tr
o
lli
n
g
u
n
it
an
d
th
e
en
d
-
u
s
er
ap
p
licatio
n
.
I
n
th
is
ca
s
e
,
to
co
m
m
u
n
ica
te
w
it
h
en
d
-
u
s
er
s
u
c
h
a
f
ir
e
d
ep
ar
t
m
en
t
w
e
n
e
ed
lo
n
g
-
r
a
n
g
e
co
m
m
u
n
icatio
n
tech
n
o
lo
g
y
.
L
o
R
a
is
a
lo
n
g
-
r
a
n
g
e
co
m
m
u
n
icatio
n
tech
n
o
lo
g
y
th
a
t c
o
n
tai
n
s
L
o
n
g
R
an
g
e
co
m
m
u
n
icatio
n
ca
p
ab
ilit
y
h
a
r
d
w
ar
e
.
5
.
4
.
E
nd
-
us
er
inte
rf
a
ce
E
n
d
-
u
s
er
s
u
c
h
p
eo
p
le
in
s
id
e
t
h
e
b
u
ild
i
n
g
s
h
o
u
ld
k
n
o
w
t
h
e
s
tatu
s
o
f
f
ir
e
ac
cid
en
t
s
o
n
th
e
ir
m
o
b
ile
p
h
o
n
e
s
.
I
t
is
p
o
s
s
ib
le
th
r
o
u
g
h
a
m
o
b
ile
-
b
a
s
ed
A
n
d
r
o
id
ap
p
[
3
2
]
.
I
t
is
also
n
ec
e
s
s
ar
y
to
i
n
f
o
r
m
th
e
au
t
h
o
r
ized
f
ir
e
d
ep
ar
tm
e
n
t
r
eg
ar
d
in
g
f
ir
e
ac
cid
en
t
w
it
h
liv
e
s
ta
tu
s
an
d
lo
ca
tio
n
.
Mo
b
ile
o
r
d
esk
to
p
-
b
ased
ap
p
licatio
n
s
w
il
l a
ct
as a
u
s
er
in
ter
f
ac
e
f
o
r
th
e
ev
ac
u
ee
an
d
f
ir
e
d
ep
ar
tm
e
n
t
[
5
0
]
.
6.
CO
NCLU
SI
O
N
W
ith
t
h
e
r
ap
id
g
r
o
w
t
h
i
n
tech
n
o
lo
g
y
,
t
h
e
li
f
e
o
f
h
u
m
a
n
b
ei
n
g
s
is
c
h
a
n
g
in
g
e
n
o
r
m
o
u
s
l
y
a
s
th
i
n
g
s
ar
e
b
ec
o
m
i
n
g
s
m
ar
ter
.
I
n
t
h
e
er
a
o
f
m
o
d
er
n
tec
h
n
o
lo
g
y
a
n
d
li
f
est
y
le,
w
e
s
h
o
u
ld
th
in
k
ab
o
u
t
h
u
m
a
n
s
a
f
et
y
an
d
s
ec
u
r
it
y
i
n
an
e
m
er
g
e
n
c
y
co
n
d
itio
n
.
Fire
ac
cid
en
t
is
o
n
e
o
f
th
e
d
an
g
er
o
u
s
e
v
en
ts
w
h
ic
h
n
ee
d
to
b
e
a
d
d
r
ess
ed
ef
f
ec
tiv
e
l
y
w
it
h
th
e
h
elp
s
m
a
r
t
tech
n
o
lo
g
y
.
B
ec
au
s
e
o
f
t
h
i
s
,
w
e
h
a
v
e
s
u
r
v
e
y
ed
th
e
av
a
i
lab
le
m
et
h
o
d
s
a
n
d
s
y
s
te
m
s
f
o
r
f
ir
e
d
etec
tio
n
a
n
d
ev
ac
u
atio
n
s
y
s
te
m
s
.
Deta
il
an
al
y
s
is
i
s
d
o
n
e
ac
co
r
d
in
g
to
p
ar
am
ete
r
s
s
u
c
h
as
s
en
s
o
r
s
,
h
ar
d
w
ar
e
p
lat
f
o
r
m
s
,
s
o
f
t
w
ar
e
to
o
ls
,
an
d
u
s
er
i
n
ter
f
a
ce
f
o
r
s
af
e
ex
it d
u
r
i
n
g
a
n
e
m
er
g
en
c
y
.
W
e
h
av
e
id
en
t
if
ied
s
o
m
e
ar
ea
s
w
h
er
e
s
t
ill
i
m
p
r
o
v
e
m
e
n
t
is
p
o
s
s
ib
le,
an
d
it
ca
n
b
e
d
o
n
e
w
it
h
ad
v
an
ce
d
m
eth
o
d
s
s
u
c
h
a
s
(
i)
L
o
R
a
f
o
r
lo
n
g
-
r
an
g
e
co
m
m
u
n
icat
io
n
,
(
ii)
c
u
s
to
m
ized
h
ar
d
w
ar
e
f
o
r
m
o
r
e
r
eliab
ilit
y
,
(
iii)
D
y
n
a
m
ic
d
is
p
la
y
g
u
id
e,
an
d
(
iv
)
p
eo
p
le
d
en
s
it
y
f
o
r
s
a
f
e
ev
ac
u
atio
n
ar
e
s
u
g
g
ested
.
T
o
o
v
er
co
m
e
th
e
is
s
u
es
w
it
h
t
h
e
ex
is
t
in
g
s
y
s
te
m
w
e
h
a
v
e
p
r
o
p
o
s
ed
a
n
o
v
el
ar
ch
itec
tu
r
e
f
o
r
s
m
ar
t
f
ir
e
d
etec
tio
n
an
d
ev
ac
u
at
io
n
.
T
h
e
p
r
o
p
o
s
ed
ar
ch
itect
u
r
e
i
n
v
o
lv
es
ac
c
u
r
ate
a
n
d
ea
r
l
y
s
e
n
s
in
g
o
f
a
f
ir
e
e
v
en
t,
I
P
ca
m
er
as
f
o
r
tr
ac
in
g
p
eo
p
le
in
s
id
e
b
u
ild
in
g
u
n
d
er
f
ir
e,
L
o
R
a
f
o
r
lo
n
g
co
m
m
u
n
ica
tio
n
,
Z
ig
b
ee
f
o
r
in
ter
-
n
o
d
e
co
m
m
u
n
icatio
n
,
ac
t
u
ato
r
s
to
en
ab
le
s
p
r
in
k
ler
s
y
s
te
m
an
d
e
f
f
ec
tiv
e
u
s
er
in
ter
f
ac
e.
RE
F
E
R
E
NC
E
S
[1
]
F
.
S
a
e
e
d
,
e
t
a
l.
,
“
Io
T
-
Ba
se
d
in
tel
li
g
e
n
t
m
o
d
e
li
n
g
o
f
th
e
sm
a
rt
h
o
m
e
e
n
v
iro
n
m
e
n
t
f
o
r
f
ire
p
re
v
e
n
ti
o
n
a
n
d
sa
f
e
t
y
,
”
J
o
u
rn
a
l
o
f
S
e
n
s
o
r a
n
d
Actu
a
to
r N
e
two
rk
s
,
v
o
l.
7
,
n
o
.
1
,
p
p
.
1
1
,
2
0
1
8
.
[2
]
F
.
Id
ris,
e
t
a
l.
,
“
I
n
telli
g
e
n
t
f
ire
d
e
t
e
c
ti
o
n
a
n
d
a
lert
sy
ste
m
u
sin
g
L
a
b
V
IEW
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
El
e
c
trica
l
a
n
d
Co
mp
u
ter
E
n
g
in
e
e
rin
g
(
IJ
ECE
)
,
v
o
l.
9
,
n
o
.
3
,
p
p
.
1
8
4
2
-
1
8
4
9
,
2
0
1
9
.
[3
]
S
.
F
a
k
h
a
r
A
.
G
,
e
t
a
l.
,
“
D
e
v
e
lo
p
m
e
n
t
o
f
a
p
o
rtab
le
c
o
m
m
u
n
it
y
v
i
d
e
o
su
rv
e
il
lan
c
e
s
y
ste
m
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
El
e
c
trica
l
a
n
d
C
o
mp
u
ter
En
g
in
e
e
rin
g
(
IJ
ECE
)
,
v
o
l.
9
,
n
o
.
3
,
p
p
.
1
8
1
4
-
1
8
2
1
,
2
0
1
9
.
[4
]
A
.
A
.
Ja
b
e
r,
e
t
a
l.
,
“
In
tern
e
t
o
f
t
h
in
g
s
b
a
se
d
in
d
u
str
ial
e
n
v
iro
n
m
e
n
t
m
o
n
it
o
rin
g
a
n
d
c
o
n
tro
l:
a
d
e
sig
n
a
p
p
ro
a
c
h
,
”
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
E
lec
trica
l
a
n
d
C
o
mp
u
ter
En
g
in
e
e
rin
g
(
IJ
ECE
),
v
o
l.
9
,
n
o
.
6
,
p
p
.
4
6
5
7
-
4
6
6
7
,
2
0
1
9
.
[5
]
S
.
G
o
k
c
e
li
,
e
t
a
l.
,
“
I
o
T
in
A
c
ti
o
n
:
De
sig
n
a
n
d
Im
p
le
m
e
n
tatio
n
o
f
a
Bu
il
d
in
g
Ev
a
c
u
a
ti
o
n
S
e
rv
ice
,
”
J
o
u
rn
a
l
of
Co
mp
u
t
er
Ne
tw
o
rk
s
a
n
d
Co
mm
u
n
ica
ti
o
n
s
,
v
o
l.
2
0
1
7
,
p
p
.
1
-
1
3
,
2
0
1
7
.
[6
]
L
.
Ch
it
taro
a
n
d
D.
Na
d
a
lu
tt
i,
“
A
m
o
b
il
e
RF
ID
-
b
a
se
d
s
y
ste
m
f
o
r
su
p
p
o
rti
n
g
th
e
e
v
a
c
u
a
ti
o
n
o
f
b
u
il
d
in
g
s,
”
In
ter
n
a
t
io
n
a
l
W
o
rk
sh
o
p
o
n
M
o
b
i
l
e
In
fo
rm
a
t
io
n
T
e
c
h
n
o
l
o
g
y
f
o
r E
m
e
rg
e
n
c
y
Res
p
o
n
se
,
p
p
.
2
2
-
3
1
,
2
0
0
9
.
[7
]
L
.
Ch
u
a
n
d
S
.
J
.
Wu
,
“
A
n
In
teg
r
a
ted
Bu
il
d
i
n
g
F
ire
Ev
a
c
u
a
ti
o
n
S
y
ste
m
w
it
h
RF
ID
a
n
d
Clo
u
d
C
o
m
p
u
ti
n
g
,
”
2
0
1
1
S
e
v
e
n
th
I
n
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
In
telli
g
e
n
t
I
n
fo
rm
a
ti
o
n
Hi
d
in
g
a
n
d
M
u
lt
ime
d
ia
S
i
g
n
a
l
Pro
c
e
ss
in
g
,
p
p
.
1
7
-
2
0
,
2
0
1
1
.
[8
]
A
.
F
u
ji
h
a
ra
a
n
d
H
.
M
iw
a
,
“
Disa
ste
r
e
v
a
c
u
a
ti
o
n
g
u
id
a
n
c
e
u
si
n
g
o
p
p
o
rt
u
n
isti
c
c
o
m
m
u
n
ica
ti
o
n
:
T
h
e
p
o
ten
ti
a
l
f
o
r
o
p
p
o
rt
u
n
it
y
-
b
a
se
d
se
rv
ice
,”
Bi
g
Da
ta
a
n
d
I
n
ter
n
e
t
o
f
T
h
i
n
g
s:
A
Ro
a
d
ma
p
fo
r
S
m
a
rt
En
v
iro
n
me
n
ts
,
p
p
.
4
2
5
-
4
4
6
,
2
0
1
4
.
Evaluation Warning : The document was created with Spire.PDF for Python.
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er
2
0
2
0
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6
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4
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6
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4
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[9
]
A
.
S
.
A
n
g
e
l
a
n
d
R.
Ja
y
a
p
a
rv
a
th
y
,
“
D
e
sig
n
a
n
d
im
p
lem
e
n
tatio
n
o
f
a
n
in
tell
ig
e
n
t
e
m
e
rg
e
n
c
y
e
v
a
c
u
a
ti
o
n
sy
ste
m
,
”
6
th
In
ter
n
a
ti
o
n
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l
Co
n
f
e
re
n
c
e
o
n
Co
mp
u
t
a
ti
o
n
o
f
Po
we
r,
En
e
rg
y
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n
f
o
rm
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ti
o
n
a
n
d
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o
mm
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n
ica
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o
n
(
ICCPE
IC
2
0
1
7
)
,
p
p
.
1
3
-
1
7
,
2
0
1
7
.
[1
0
]
V
.
Re
d
d
y
a
n
d
Ga
y
a
th
ri
P
.
,
“
In
teg
ra
ti
o
n
o
f
in
tern
e
t
o
f
th
in
g
s w
it
h
wire
les
s se
n
so
r
n
e
t
w
o
rk
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
El
e
c
trica
l
a
n
d
C
o
mp
u
ter
En
g
in
e
e
rin
g
(
IJ
ECE
)
,
v
o
l.
9
,
n
o
.
1
,
p
p
.
4
3
9
-
4
4
4
,
2
0
1
9
.
[1
1
]
K.
M
.
Yu
,
e
t
a
l.
,
“
In
telli
g
e
n
t
e
v
a
c
u
a
ti
o
n
s
y
ste
m
in
teg
ra
ted
with
im
a
g
e
re
c
o
g
n
it
io
n
te
c
h
n
o
l
o
g
y
,
”
2
0
1
5
8
t
h
In
t
e
rn
a
t
io
n
a
l
C
o
n
f
e
re
n
c
e
o
n
U
b
i
-
M
e
d
ia
Co
mp
u
t
i
n
g
(
UM
EDIA
2
0
1
5
)
,
p
p
.
2
3
-
2
8
,
2
0
1
5
.
[1
2
]
H.
P
.
Hs
u
,
e
t
a
l.
,
“
Eme
rg
e
n
c
y
e
v
a
c
u
a
ti
o
n
b
a
se
o
n
in
telli
g
e
n
t
d
ig
it
a
l
sig
n
a
g
e
s
y
ste
m
s,”
2
0
1
4
7
t
h
In
t
e
rn
a
t
io
n
a
l
Co
n
f
e
re
n
c
e
o
n
Ub
i
-
M
e
d
i
a
Co
m
p
u
t
n
g
a
n
d
W
o
rk
sh
o
p
(
U
-
M
EDIA
2
0
1
4
)
,
p
p
.
2
4
3
-
2
4
7
,
2
0
1
4
.
[1
3
]
S.
M
o
u
li
k
,
e
t
a
l.
,
“
S
m
a
rt
-
e
v
a
c
:
Big
d
a
ta
-
b
a
se
d
d
e
c
isio
n
m
a
k
in
g
f
o
r
e
m
e
r
g
e
n
c
y
e
v
a
c
u
a
ti
o
n
,”
IEE
E
Clo
u
d
Co
mp
u
t
in
g
,
v
o
l
.
2
,
n
o
.
3
,
p
p
.
58
-
6
5
,
2
0
1
5
.
[1
4
]
A
.
M
o
ra
les
,
e
t
a
l.
,
“
En
h
a
n
c
i
n
g
Ev
a
c
u
a
ti
o
n
P
la
n
s
w
it
h
a
S
it
u
a
ti
o
n
A
w
a
r
e
n
e
ss
S
y
ste
m
Ba
se
d
o
n
E
n
d
-
Us
e
r
Kn
o
w
led
g
e
P
ro
v
isio
n
,
”
S
e
n
so
r
,
v
o
l.
1
4
,
n
o
.
6
,
p
p
.
1
1
1
5
3
-
1
1
1
7
8
,
2
0
1
4
.
[1
5
]
B
.
W
a
n
g
,
e
t
a
l.
,
“
BIM
Ba
se
d
Vir
tu
a
l
E
n
v
iro
n
m
e
n
t
f
o
r
F
ire
Em
e
rg
e
n
c
y
Ev
a
c
u
a
ti
o
n
,
”
T
h
e
S
c
ien
t
if
ic
W
o
rld
J
o
u
rn
a
l
,
v
o
l.
2
0
1
4
,
p
p
.
1
-
2
2
,
2
0
1
4
.
[1
6
]
R.
Ra
n
jan
,
“
G
u
e
st
Ed
it
o
rs'
In
tro
d
u
c
t
io
n
:
Cl
o
u
d
-
Ba
se
d
S
m
a
rt
Ev
a
c
u
a
ti
o
n
S
y
ste
m
s
fo
r
Em
e
rg
e
n
c
y
M
a
n
a
g
e
m
e
n
t
,”
IEE
E
Clo
u
d
C
o
m
p
u
ti
n
g
,
v
o
l.
1
,
n
o
.
4
,
p
p
.
26
-
2
9
,
2
0
1
4
.
[1
7
]
H.
M
.
P
o
y
a
n
d
B.
D
u
f
fy
,
“
A
Clo
u
d
-
E
n
a
b
led
Bu
il
d
i
n
g
a
n
d
F
ire
E
m
e
rg
e
n
c
y
E
v
a
c
u
a
ti
o
n
A
p
p
li
c
a
ti
o
n
,
”
IEE
E
Clo
u
d
Co
mp
u
t
in
g
,
v
o
l
.
1
,
n
o
.
4
,
p
p
.
4
0
-
4
9
,
2
0
1
4
.
[1
8
]
X
.
X
u
,
e
t
a
l.
,
“
CL
O
T
HO
:
A
L
a
r
g
e
-
S
c
a
le
In
tern
e
t
o
f
T
h
in
g
s
-
Ba
s
e
d
Cro
w
d
Ev
a
c
u
a
ti
o
n
P
lan
n
in
g
S
y
st
e
m
f
o
r
Disa
ste
r
M
a
n
a
g
e
m
e
n
t
,
”
IEE
E
In
ter
n
e
t
o
f
T
h
in
g
s J
o
u
r
n
a
l
,
v
o
l.
5
,
n
o
.
5
,
p
p
.
3
5
5
9
-
3
5
6
8
,
2
0
1
8
.
[1
9
]
Z.
Ha
n
,
e
t
a
l.
,
“
In
v
e
stig
a
ti
o
n
o
n
a
n
In
teg
ra
ted
Ev
a
c
u
a
ti
o
n
R
o
u
te
P
lan
n
in
g
M
e
t
h
o
d
Ba
se
d
o
n
Re
a
l
-
T
i
m
e
Da
ta
A
c
q
u
isit
io
n
f
o
r
Hig
h
-
Rise
Bu
il
d
i
n
g
F
ire
,
”
IEE
E
T
ra
n
sa
c
t
io
n
s
o
n
I
n
telli
g
e
n
t
T
ra
n
sp
o
rt
a
ti
o
n
S
y
ste
ms
,
v
o
l.
1
4
,
n
o
.
2
,
p
p
.
7
8
2
-
7
9
5
,
2
0
1
3
[2
0
]
C.
S
.
Ry
u
,
“
Io
t
-
b
a
se
d
in
tell
ig
e
n
t
f
o
r
f
ire
e
m
e
rg
e
n
c
y
r
e
sp
o
n
se
sy
ste
m
s
,”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
S
ma
rt
H
o
me
,
v
o
l.
9
,
n
o
.
3
,
p
p
.
1
6
1
-
1
6
8
,
2
0
1
5
.
[2
1
]
S
.
J.
L
iu
a
n
d
G
.
Q.
Zh
u
,
“
T
h
e
a
p
p
li
c
a
ti
o
n
o
f
G
IS
a
n
d
Io
T
tec
h
n
o
l
o
g
y
o
n
b
u
il
d
i
n
g
f
ire
e
v
a
c
u
a
ti
o
n
,”
Pr
o
c
e
d
i
a
En
g
i
n
e
e
rin
g
,
v
o
l.
7
1
,
p
p
.
5
7
7
-
5
8
2
,
2
0
1
4
.
[2
2
]
Y
.
G
u
a
n
,
e
t
a
l.
,
“
F
ire
Risk
A
ss
e
s
s
m
e
n
t
a
n
d
Da
il
y
M
a
in
ten
a
n
c
e
M
a
n
a
g
e
m
e
n
t
o
f
Cu
lt
u
ra
l
Re
li
c
B
u
il
d
i
n
g
Ba
se
d
o
n
Zi
g
Be
e
Tec
h
n
o
lo
g
y
,
”
Pro
c
e
d
ia
E
n
g
i
n
e
e
rin
g
,
v
o
l.
2
1
1
,
p
p
.
1
9
2
-
1
9
8
,
2
0
1
8
.
[2
3
]
P.
A
n
n
a
d
a
ta,
e
t
a
l.
,
“
P
e
rso
n
d
e
tec
ti
o
n
tec
h
n
iq
u
e
s
f
o
r
a
n
Io
T
b
a
se
d
e
m
e
rg
e
n
c
y
e
v
a
c
u
a
ti
o
n
a
ss
istan
c
e
s
y
ste
m
,”
Ad
ju
n
c
t
Pr
o
c
e
e
d
in
g
s
o
f
t
h
e
1
3
th
I
n
ter
n
a
t
io
n
a
l
Co
n
fer
e
n
c
e
o
n
M
o
b
il
e
a
n
d
Ub
iq
u
it
o
u
s
S
y
ste
ms
:
Co
mp
u
ti
n
g
Ne
two
rk
in
g
a
n
d
S
e
rv
ice
s
,
p
p
.
7
7
-
8
2
,
2
0
1
6
.
[2
4
]
S
h
re
e
d
a
rsh
a
n
K.
a
n
d
S
.
S
.
S
e
lv
i,
“
Cro
w
d
re
c
o
g
n
it
io
n
sy
ste
m
b
a
s
e
d
o
n
o
p
ti
c
a
l
f
lo
w
a
lo
n
g
w
it
h
S
V
M
c
las
sif
ier
,
”
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
E
lec
trica
l
a
n
d
C
o
mp
u
ter
En
g
in
e
e
rin
g
(
IJ
ECE
),
v
o
l.
9
,
n
o
.
4
,
p
p
.
2
4
5
1
-
2
4
5
9
,
2
0
1
9
.
[2
5
]
L
.
W
.
Ch
e
n
a
n
d
J
.
X
.
L
iu
,
“
Ea
s
y
G
O:
A
Ra
p
id
In
d
o
o
r
Na
v
ig
a
ti
o
n
a
n
d
Ev
a
c
u
a
ti
o
n
S
y
ste
m
Us
in
g
S
m
a
rtp
h
o
n
e
s
th
ro
u
g
h
th
e
In
tern
e
t
o
f
T
h
in
g
s
Te
c
h
n
o
l
o
g
ies
,”
Pro
c
e
e
d
in
g
s
o
f
th
e
2
4
th
A
n
n
u
a
l
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
M
o
b
il
e
Co
mp
u
t
in
g
a
n
d
Ne
two
rk
in
g
,
p
p
.
8
3
5
-
8
3
7
,
2
0
1
8
.
[2
6
]
A
.
S
e
th
i,
“
S
y
ste
m
s
a
n
d
m
e
th
o
d
s
f
o
r
o
u
td
o
o
r
e
v
a
c
u
a
ti
o
n
g
u
id
a
n
c
e
u
sin
g
a
U
A
V
,”
U.S
.
P
a
te
n
t
A
p
p
li
c
a
ti
o
n
n
o
.
2
0
1
7
15
5
9
6
7
8
3
.
[2
7
]
L
.
Ko
lo
b
e
,
e
t
a
l.
,
“
S
y
st
e
m
a
ti
c
li
tera
tu
re
su
rv
e
y
:
a
p
p
l
ica
ti
o
n
s
o
f
Lo
Ra
c
o
m
m
u
n
ica
ti
o
n
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
El
e
c
trica
l
a
n
d
C
o
mp
u
ter
En
g
in
e
e
rin
g
(
IJ
ECE
)
,
v
o
l.
1
0
,
n
o
.
3
,
p
p
.
3
1
7
6
-
3
1
8
3
,
2
0
2
0
.
[2
8
]
S.
Ho
ss
e
in
z
a
d
e
h
,
“
Em
p
iri
c
a
l
p
r
o
p
a
g
a
ti
o
n
p
e
rf
o
rm
a
n
c
e
e
v
a
lu
a
ti
o
n
o
f
L
o
R
a
f
o
r
in
d
o
o
r
e
n
v
ir
o
n
m
e
n
t
,”
IEE
E
1
5
th
In
ter
n
a
t
io
n
a
l
C
o
n
fer
e
n
c
e
o
n
I
n
d
u
stria
l
In
fo
rm
a
ti
c
s (
INDIN)
,
p
p
.
2
6
-
3
1
,
2
0
1
7
.
[2
9
]
X
.
H.
X
ie
,
e
t
a
l.
,
“
A
n
In
telli
g
e
n
t
S
m
o
k
e
De
tec
to
r
S
y
st
e
m
Ba
s
e
d
o
n
L
o
Ra
a
n
d
I
n
d
o
o
r
P
o
si
ti
o
n
in
g
,”
DES
tec
h
T
ra
n
sa
c
ti
o
n
s
o
n
Co
m
p
u
ter
S
c
ie
n
c
e
a
n
d
En
g
i
n
e
e
rin
g
,
2
0
1
8
.
[3
0
]
J.
Hu
ix
ian
a
n
d
Z.
S
h
a
o
p
i
n
g
,
“
De
sig
n
o
f
in
telli
g
e
n
t
f
ire
-
f
ig
h
ti
n
g
s
y
ste
m
o
f
a
b
ig
p
u
b
li
c
b
u
i
ld
in
g
e
m
e
r
g
e
n
c
y
e
v
a
c
u
a
ti
o
n
n
a
v
ig
a
ti
o
n
sy
ste
m
fo
r
m
o
b
il
e
term
in
a
l,
”
1
3
th
In
t
e
r
n
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
Co
m
p
u
t
er
S
c
i
e
n
c
e
a
n
d
Ed
u
c
a
ti
o
n
(
ICCS
E
2
0
1
8
)
,
p
p
.
9
0
-
9
5
,
2
0
1
8
.
[3
1
]
J
.
S
e
e
b
a
m
ru
n
g
sa
t,
e
t
a
l.
,
“
F
ire
De
tec
ti
o
n
in
th
e
Bu
il
d
i
n
g
s
Us
i
n
g
I
m
a
g
e
P
ro
c
e
ss
in
g
,
”
T
h
ird
IC
T
In
ter
n
a
t
io
n
a
l
S
tu
d
e
n
t
Pr
o
jec
t
Co
n
fer
e
n
c
e
(
ICT
-
IS
PC)
,
p
p
.
9
5
-
9
8
,
2
0
1
4
.
[3
2
]
K.
X
ie
,
e
t
a
l.
,
“
In
ter
n
e
t
o
f
T
h
in
g
s
-
b
a
se
d
in
telli
g
e
n
t
e
v
a
c
u
a
ti
o
n
p
ro
t
o
c
o
l
in
li
b
ra
ries
,”
L
ib
ra
ry
Hi
T
e
c
h
,
v
o
l.
3
8
,
n
o
.
1
,
p
p
.
1
4
5
-
1
6
3
,
2
0
1
9
.
[3
3
]
S.
F
o
n
g
,
“
In
ter
n
e
t
o
f
Bre
a
th
(I
o
B):
In
teg
ra
ti
v
e
In
d
o
o
r
G
a
s
S
e
n
so
r
A
p
p
li
c
a
ti
o
n
s
f
o
r
Em
e
rg
e
n
c
y
Co
n
tro
l
a
n
d
Oc
c
u
p
a
n
c
y
D
e
tec
ti
o
n
,”
Fi
rs
t
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
Rea
l
T
i
me
In
telli
g
e
n
t
S
y
ste
ms
,
p
p
.
3
4
2
-
3
5
9
,
2
0
1
7
.
[3
4
]
M
.
S
.
B
.
Ba
h
ru
d
i
n
,
e
t
a
l.
,
“
De
v
e
lo
p
m
e
n
t
o
f
F
ire
a
lar
m
s
y
ste
m
u
sin
g
Ra
sp
b
e
rr
y
P
i
a
n
d
A
rd
u
in
o
Un
o
,
”
2
0
1
3
In
t
e
rn
a
t
io
n
a
l
C
o
n
f
e
re
n
c
e
o
n
E
lec
tr
ica
l
El
e
c
tro
n
ics
a
n
d
S
y
st
em
En
g
in
e
e
rin
g
(
ICEE
S
E
2
0
1
3
)
,
p
p
.
4
3
-
4
8
,
2
0
1
3
.
[3
5
]
J
.
Ma
,
“
Re
se
a
rc
h
o
f
Bu
il
d
in
g
Ev
a
c
u
a
ti
o
n
P
a
t
h
to
G
u
id
e
Ba
se
d
o
n
BIM
,
”
2
9
th
C
h
in
e
se
Co
n
tr
o
l
a
nd
De
c
isio
n
Co
n
fer
e
n
c
e
(
CCDC
)
,
p
p
.
1
8
1
4
-
1
8
1
8
,
2
0
1
7
.
[3
6
]
Z.
C.
Zo
u
,
e
t
a
l.
,
“
In
telli
g
e
n
t
S
p
a
c
e
f
o
r
Bu
il
d
in
g
F
ire
De
tec
ti
o
n
a
n
d
Ev
a
c
u
a
ti
o
n
De
c
isio
n
S
u
p
p
o
rt
,
”
Pro
c
e
e
d
in
g
s
o
f
th
e
2
0
1
5
In
ter
n
a
ti
o
n
a
l
C
o
n
fer
e
n
c
e
o
n
E
lec
trica
l,
A
u
to
m
a
ti
o
n
a
n
d
M
e
c
h
a
n
ica
l
E
n
g
in
e
e
rin
g
,
p
p
.
3
6
5
-
3
6
8
,
2
0
1
5
.
[3
7
]
Y
.
Bo
,
e
t
a
l.
,
“
A
G
IS
-
Ba
se
d
S
imu
latio
n
f
o
r
Oc
c
u
p
a
n
t
Ev
a
c
u
a
ti
o
n
in
a
n
A
m
u
se
m
e
n
t
Bu
il
d
in
g
,
”
2
n
d
In
ter
n
a
ti
o
n
a
l
Asia
Co
n
fer
e
n
c
e
o
n
In
f
o
rm
a
ti
c
s i
n
Co
n
tro
l
,
A
u
to
m
a
ti
o
n
a
n
d
Ro
b
o
t
ics
,
p
p
.
2
7
4
-
2
7
7
,
2
0
1
0
.
Evaluation Warning : The document was created with Spire.PDF for Python.
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Ga
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[3
8
]
F
.
T
in
g
y
o
n
g
,
e
t
a
l.
,
“
S
tu
d
y
o
f
b
u
i
ld
in
g
f
ire
e
v
a
c
u
a
ti
o
n
b
a
se
d
o
n
c
o
n
ti
n
u
o
u
s
m
o
d
e
l
o
f
F
DS&EV
A
C,
”
In
t
e
rn
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
Co
mp
u
t
er
Distrib
u
te
d
Co
n
tr
o
l
a
n
d
In
tell
i
g
e
n
t
En
v
iro
n
me
n
t
a
l
M
o
n
it
o
rin
g
(
C
DCIEM
2
0
1
1
)
,
p
p
.
1
3
3
1
-
1
3
3
4
,
2
0
1
1
.
[3
9
]
D.
L
e
e
,
e
t
a
l.
,“
En
v
iro
n
m
e
n
t
A
d
a
p
ti
v
e
E
m
e
r
g
e
n
c
y
E
v
a
c
u
a
ti
o
n
Ro
u
te
G
UID
E
t
h
ro
u
g
h
D
ig
it
a
l
S
ig
n
a
g
e
S
y
st
e
m
s
,”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Ad
v
a
n
c
e
d
Cu
lt
u
re
T
e
c
h
n
o
l
o
g
y
(
IJ
ACT
)
,
v
o
l.
5
,
n
o
.
1
,
p
p
.
90
-
97
,
2
0
1
7
.
[4
0
]
S.
S
p
i
n
sa
n
te,
“
A
L
o
Ra
e
n
a
b
led
b
u
il
d
in
g
a
u
t
o
m
a
ti
o
n
a
rc
h
it
e
c
tu
re
b
a
se
d
o
n
M
QT
T
,”
AE
IT
In
ter
n
a
ti
o
n
a
l
An
n
u
a
l
Co
n
fer
e
n
c
e
,
p
p
.
1
-
5
,
2
0
1
7
.
[4
1
]
Y.
Ch
e
n
,
e
t
a
l.
,
“
De
sig
n
o
f
S
e
c
u
ri
ty
A
lar
m
S
y
ste
m
Ba
se
d
o
n
L
o
Ra
T
e
c
h
n
o
lo
g
y
,”
In
ter
n
a
ti
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
Ge
o
-
in
fo
rm
a
ti
c
s in
S
u
st
a
i
n
a
b
le E
c
o
sy
ste
m a
n
d
S
o
c
iety
,
p
p
.
2
8
0
-
2
8
8
,
2
0
1
8
.
[4
2
]
N.
E.
Ch
u
n
g
,
e
t
a
l.
,
“
A
n
e
ff
e
c
ti
v
e
n
e
ss
stu
d
y
o
f
a
n
in
telli
g
e
n
t
e
m
e
rg
e
n
c
y
e
v
a
c
u
a
ti
o
n
sy
ste
m
u
sin
g
field
v
e
rif
i
c
a
ti
o
n
tec
h
n
iq
u
e
s,”
2
0
1
7
6
t
h
In
t
e
rn
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
Fu
tu
r
e
Ge
n
e
r
a
ti
o
n
Co
mm
u
n
ica
ti
o
n
T
e
c
h
n
o
l
o
g
ies
(
FGCT
2
0
1
7
)
,
p
p
.
7
8
-
8
3
,
2
0
1
7
.
[4
3
]
J.
S
.
C
h
o
u
,
e
t
a
l.
,
“
Op
ti
m
a
l
p
a
th
p
lan
n
in
g
i
n
re
a
l
-
ti
m
e
f
o
r
d
y
n
a
m
ic
b
u
il
d
i
n
g
f
ire
re
sc
u
e
o
p
e
ra
ti
o
n
s
u
sin
g
w
irele
ss
se
n
so
rs an
d
v
isu
a
l
g
u
id
a
n
c
e
,”
A
u
t
o
ma
ti
o
n
in
C
o
n
str
u
c
ti
o
n
,
v
o
l.
99
,
p
p
.
1
-
17
,
2
0
1
9
.
[4
4
]
A
.
Ga
u
r,
e
t
a
l.
,
“
F
ire
S
e
n
sin
g
Tec
h
n
o
l
o
g
ies
:
A
R
e
v
ie
w
,”
IEE
E
S
e
n
so
rs
J
o
u
rn
a
l
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o
.
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p
.
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9
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0
2
,
2
0
1
9
.
[4
5
]
S.
M
a
ju
m
d
e
r,
e
t
a
l.
,
“
S
m
a
rt
a
p
p
a
r
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tu
s
f
o
r
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ire
e
v
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c
u
a
ti
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n
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a
n
Io
T
b
a
se
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ire
e
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e
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e
n
c
y
m
o
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it
o
rin
g
a
n
d
e
v
a
c
u
a
ti
o
n
s
y
ste
m
,”
2017
IEE
E
M
IT
Un
d
e
rg
ra
d
u
a
te R
e
se
a
rc
h
T
e
c
h
n
o
l
o
g
y
C
o
n
fer
e
n
c
e
(
URT
C)
,
p
p
.
1
-
4
,
2
0
1
7
.
[4
6
]
N.
Al
-
Na
b
h
a
n
,
e
t
a
l.
,
“
A
H
y
b
rid
Io
T
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b
a
se
d
A
p
p
ro
a
c
h
f
o
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Em
e
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Ev
a
c
u
a
ti
o
n
,”
Co
mp
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ter
Ne
t
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1
5
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p
.
8
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,
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0
1
9
.
[4
7
]
A
.
Jo
h
n
so
n
,
e
t
a
l.
,
“
A
d
a
p
ti
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Ki
n
e
ti
c
A
rc
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tu
re
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n
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ll
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ti
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h
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.
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p
.
44
-
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0
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.
[4
8
]
H.
Ch
u
,
e
t
a
l.
,
“
Em
e
rg
e
n
c
y
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a
c
u
a
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im
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in
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n
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sid
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ti
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l
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m
m
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ies
,”
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u
sta
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l
.
1
1
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3
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.
7
9
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9
,
2
0
1
9
.
[4
9
]
K.
M
.
Yu
,
e
t
a
l.
,
“
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n
stru
c
t
a
n
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telli
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m
A
r
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it
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tu
re
,”
2
0
1
8
In
ter
n
a
t
io
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a
l
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o
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fer
e
n
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e
o
n
Ad
v
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n
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d
Co
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tro
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u
to
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ti
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n
d
A
rtif
icia
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telli
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n
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e
(
ACA
AI
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0
1
8
)
,
p
p
.
2
1
4
-
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7
,
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0
1
8
.
[5
0
]
C.
E.
Be
ll
e
r,
e
t
a
l
.
,
“
P
e
rso
n
a
li
z
e
d
e
m
e
rg
e
n
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y
e
v
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c
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ti
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la
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,”
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.
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ten
t
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p
p
li
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ti
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n
N
o
.
1
0
/
1
8
1
,
2
4
2
.
B
I
O
G
RAP
H
I
E
S
O
F
AUTH
O
RS
G
a
ja
n
a
n
d
S
.
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ira
j
d
a
r
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Re
s
e
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rc
h
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c
h
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lar
a
t
L
o
v
e
l
y
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ro
f
e
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io
n
a
l
Un
iv
e
rsit
y
,
P
u
n
ja
b
,
In
d
ia
.
He
h
a
s
c
o
m
p
lete
d
h
is
b
a
c
h
e
lo
r
d
e
g
re
e
in
El
e
c
tro
n
ics
&
Tele
c
o
m
m
u
n
ica
ti
o
n
En
g
in
e
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rin
g
f
ro
m
S
P
P
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u
n
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n
d
M
.
T
e
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h
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e
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S
y
ste
m
s
f
ro
m
JN
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H
y
d
e
ra
b
a
d
.
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a
re
a
o
f
in
tere
st
is
Io
T
,
Em
b
e
d
d
e
d
S
y
ste
m
s,
F
ire S
a
fe
t
y
,
W
S
N,
e
tc
.
Dr
.
Ra
je
s
h
S
in
g
h
is
c
u
rre
n
tl
y
w
o
rk
in
g
a
s
a
P
r
o
f
e
ss
o
r
w
it
h
m
o
re
th
a
n
f
if
te
e
n
y
e
a
rs
o
f
e
x
p
e
rien
c
e
in
a
c
a
d
e
m
ics
.
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h
a
s
b
e
e
n
a
wa
rd
e
d
a
s
a
g
o
ld
m
e
d
a
li
st i
n
M
.
T
e
c
h
a
n
d
h
o
n
o
rs i
n
h
is B.
E.
His a
re
a
o
f
e
x
p
e
rti
se
in
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lu
d
e
s
e
m
b
e
d
d
e
d
sy
ste
m
s,
ro
b
o
ti
c
s,
w
irele
ss
se
n
so
r
n
e
tw
o
rk
s
,
a
n
d
th
e
In
ter
n
e
t
o
f
T
h
in
g
s.
He
h
a
s
o
rg
a
n
ize
d
a
n
d
c
o
n
d
u
c
ted
se
v
e
ra
l
w
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rk
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o
p
s,
su
m
m
e
r
in
tern
sh
ip
s
,
a
n
d
e
x
p
e
rt
lec
tu
re
s
f
o
r
stu
d
e
n
ts
a
s
w
e
ll
a
s
f
a
c
u
lt
y
.
He
h
a
s
2
7
p
a
ten
ts
i
n
h
i
s
a
c
c
o
u
n
t.
He
h
a
s
p
u
b
li
sh
e
d
a
ro
u
n
d
h
u
n
d
re
d
re
se
a
rc
h
p
a
p
e
rs
i
n
re
f
e
r
e
e
d
jo
u
r
n
a
ls/co
n
f
e
re
n
c
e
s.
Un
d
e
r
h
is
m
e
n
to
rsh
i
p
stu
d
e
n
ts
h
a
v
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p
a
rti
c
ip
a
ted
in
n
a
ti
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l/
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n
t
e
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a
ti
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l
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o
m
p
e
ti
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s
in
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l
u
d
i
n
g
T
e
x
a
s
c
o
m
p
e
ti
ti
o
n
in
De
lh
i
a
n
d
L
a
u
re
a
te
a
w
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rd
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f
e
x
c
e
ll
e
n
c
e
in
ro
b
o
ti
c
s
e
n
g
i
n
e
e
rin
g
in
S
p
a
i
n
.
T
w
ic
e
in
th
e
las
t
f
o
u
r
y
e
a
rs,
h
e
h
a
s b
e
e
n
a
w
a
rd
e
d
a
“
c
e
rti
f
ica
t
e
o
f
a
p
p
re
c
iatio
n
”
.
Dr
.
An
ita
G
e
h
lo
t
h
a
s
m
o
re
th
a
n
tw
e
l
v
e
y
e
a
rs
o
f
e
x
p
e
rien
c
e
in
a
c
a
d
e
m
i
c
s.
S
h
e
h
a
s
tw
e
n
t
y
-
f
o
u
r
p
a
ten
ts i
n
h
e
r
a
c
c
o
u
n
t.
S
h
e
h
a
s p
u
b
li
sh
e
d
m
o
re
th
a
n
f
if
t
y
r
e
se
a
r
c
h
p
a
p
e
rs i
n
re
f
e
r
e
e
d
jo
u
rn
a
ls an
d
c
o
n
f
e
re
n
c
e
s
.
S
h
e
h
a
s
o
rg
a
n
ize
d
se
v
e
ra
l
w
o
rk
sh
o
p
s,
su
m
m
e
r
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tern
sh
ip
s
,
a
n
d
e
x
p
e
rt
lec
tu
re
s
f
o
r
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d
e
n
ts.
S
h
e
h
a
s
b
e
e
n
a
w
a
rd
e
d
a
“
c
e
rti
f
ica
te
o
f
a
p
p
re
c
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n
”
f
ro
m
th
e
Un
iv
e
rsit
y
o
f
P
e
tro
leu
m
a
n
d
E
n
e
rg
y
S
tu
d
ies
f
o
r
e
x
e
m
p
lar
y
w
o
rk
.
S
h
e
h
a
s
p
u
b
li
s
h
e
d
f
if
tee
n
b
o
o
k
s
i
n
t
h
e
a
re
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o
f
Em
b
e
d
d
e
d
S
y
ste
m
s
a
n
d
In
tern
e
t
o
f
T
h
in
g
s
w
it
h
re
p
u
ted
p
u
b
li
sh
e
r
s
li
k
e
CRC/
T
a
y
lo
r
&
F
ra
n
c
is,
Na
ro
sa
,
G
BS
,
IRP
,
NI
P
A
,
Riv
e
r
P
u
b
l
ish
e
rs,
Be
n
t
h
a
m
S
c
ien
c
e
,
a
n
d
RI
p
u
b
li
c
a
ti
o
n
.
S
h
e
is
a
n
e
d
it
o
r
of
a
sp
e
c
i
a
l
issu
e
p
u
b
li
sh
e
d
b
y
th
e
A
IS
C
b
o
o
k
se
ries
,
S
p
rin
g
e
r
w
it
h
th
e
ti
tl
e
“
In
telli
g
e
n
t
Co
m
m
u
n
ica
ti
o
n
,
C
o
n
tr
o
l,
a
n
d
De
v
ice
s
-
2
0
1
8
”
.
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