I
AE
S In
t
er
na
t
io
na
l J
o
urna
l o
f
Art
if
icia
l In
t
ellig
ence
(
I
J
-
AI
)
Vo
l.
10
,
No
.
3
,
Sep
tem
b
er
202
1
,
p
p
.
5
2
8
~
5
3
5
I
SS
N:
2
2
5
2
-
8938
,
DOI
: 1
0
.
1
1
5
9
1
/i
j
ai.
v
10
.i
3
.
p
p
5
2
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-
535
528
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:
h
ttp
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//ij
a
i
.
ia
esco
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co
m
Interne
t
o
f
things
and fu
zz
y
log
ic f
o
r s
m
a
rt
stre
et
lig
hting
pro
toty
pes
M
ind
it
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riy
a
di
1
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Ade
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a
f
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r
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l
la
h
2
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a
s
bu
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h
3
,
Sa
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ha
w
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na
M
uli
a
4
1
De
p
a
rtme
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t
o
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e
c
tri
c
a
l
En
g
in
e
e
rin
g
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li
tek
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ik
En
ji
n
e
rin
g
In
d
o
r
a
m
a
,
In
d
o
n
e
sia
2,
3
De
p
a
rtm
e
n
t
o
f
El
e
c
tri
c
a
l
En
g
in
e
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rin
g
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Un
iv
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rsitas
P
e
n
d
id
ik
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In
d
o
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sia
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I
n
d
o
n
e
sia
4
De
p
a
rtme
n
t
o
f
M
a
n
u
f
a
c
tu
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to
m
a
ti
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a
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M
e
c
h
a
tro
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ics
,
P
o
li
tek
n
ik
M
a
n
u
f
a
k
tu
r
Ba
n
d
u
n
g
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In
d
o
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sia
Art
icle
I
nfo
AB
ST
RAC
T
A
r
ticle
his
to
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y:
R
ec
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Ma
r
1
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2
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ev
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cc
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J
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In
tern
e
t
o
f
th
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g
s
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)
a
n
d
f
u
z
z
y
lo
g
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re
v
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y
u
se
f
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l
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a
sin
g
th
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ff
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y
a
n
d
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ff
e
c
ti
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f
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s
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ste
m
;
th
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stu
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y
a
p
p
li
e
s
b
o
t
h
t
o
t
h
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stre
e
t
li
g
h
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g
sy
st
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m
s.
T
h
e
p
ro
to
ty
p
e
o
f
a
stre
e
t
li
g
h
ti
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g
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l
a
n
d
m
o
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it
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g
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ste
m
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s
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m
p
lete
d
.
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h
e
sta
tu
s
o
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li
g
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a
t
a
re
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f
f
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lu
e
o
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g
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t
in
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sity
c
a
n
b
e
m
o
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it
o
re
d
b
y
u
sin
g
Io
T
.
T
h
e
in
te
n
sity
o
f
th
e
li
g
h
t
is
f
u
z
z
y
c
o
n
tro
ll
e
d
b
y
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ti
li
z
in
g
th
e
p
re
se
n
c
e
o
f
v
e
h
icle
s
a
n
d
p
e
d
e
strian
s
a
ro
u
n
d
t
h
e
li
g
h
ts.
T
h
e
p
r
o
to
ty
p
e
is
m
a
d
e
w
it
h
a
sc
a
le
a
g
a
in
st
re
a
l
c
o
n
d
i
ti
o
n
s
.
Da
ta
is
p
ro
c
e
ss
e
d
a
n
d
tran
s
m
it
te
d
u
sin
g
a
m
icro
c
o
n
tro
l
ler
a
n
d
Wi
-
Fi
o
n
t
h
e
Io
T
m
o
d
u
le.
M
o
b
il
e
a
p
p
li
c
a
ti
o
n
s
h
a
v
e
b
e
e
n
u
se
d
o
n
s
m
a
rtp
h
o
n
e
in
terf
a
c
e
s
to
m
o
n
it
o
r
a
n
d
c
o
n
tro
l
lam
p
s
w
h
e
re
v
e
r
th
e
y
a
r
e
c
o
n
n
e
c
ted
t
o
t
h
e
In
tern
e
t
.
Ch
a
n
g
e
s
in
th
e
sta
tu
s
o
f
li
g
h
ts
to
tu
rn
o
n
o
r
o
f
f
a
re
d
o
n
e
b
y
th
e
re
la
y
m
o
d
u
le.
T
h
e
f
u
z
z
y
li
g
h
t
in
ten
sity
c
o
n
tro
l
s
y
s
te
m
u
se
s
se
n
so
rs
a
n
d
m
icro
c
o
n
tro
ll
e
rs
b
y
u
ti
li
z
i
n
g
th
e
p
re
se
n
c
e
o
f
v
e
h
icle
s
a
n
d
p
e
d
e
strian
s
a
ro
u
n
d
th
e
li
g
h
ts.
P
e
rf
o
rm
a
n
c
e
e
v
a
lu
a
ti
o
n
h
a
s
b
e
e
n
c
a
rried
o
u
t
o
n
a
m
in
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re
str
e
e
t
li
g
h
ti
n
g
w
it
h
th
e
re
su
lt
s
o
f
m
o
n
it
o
ri
n
g
a
n
d
c
o
n
tro
l
f
o
ll
o
w
in
g
it
s
f
u
n
c
ti
o
n
.
A
n
a
n
a
l
y
sis
o
f
th
e
re
su
lt
in
g
e
n
e
rg
y
sa
v
in
g
s h
a
s b
e
e
n
d
e
m
o
n
stra
ted
.
K
ey
w
o
r
d
s
:
E
n
er
g
y
s
a
v
in
g
Fu
zz
y
lo
g
ic
I
n
ter
n
et
o
f
t
h
i
n
g
s
L
i
g
h
t in
te
n
s
it
y
L
u
x
s
en
s
o
r
S
m
ar
t stre
et
l
ig
h
ti
n
g
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
:
Min
d
it E
r
i
y
ad
i
Dep
ar
t
m
en
t o
f
E
lectr
ical
E
n
g
i
n
ee
r
in
g
P
o
litek
n
i
k
E
n
j
in
er
i
n
g
I
n
d
o
r
am
a
Ged
u
n
g
C
3
,
J
alan
Desa
Ke
m
b
an
g
K
u
n
i
n
g
,
Kec
a
m
ata
n
J
atilu
h
u
r
,
Kab
u
p
aten
P
u
r
w
ak
ar
t
a,
J
a
w
a
B
ar
at,
I
n
d
o
n
esia
E
m
ail:
m
i
n
d
it.e
r
i@
g
m
ail.
co
m
1.
I
NT
RO
D
UCT
I
O
N
Stre
et
li
g
h
t
s
to
d
a
y
co
n
s
u
m
e
a
lo
t
o
f
e
n
er
g
y
d
u
e
to
th
e
p
o
o
r
in
ten
s
it
y
a
n
d
ef
f
icie
n
c
y
co
n
tr
o
ls
[
1
]
,
[
2
]
.
T
h
e
cu
r
r
en
t
p
r
o
b
le
m
w
i
th
co
n
v
en
t
io
n
al
s
y
s
te
m
s
is
lo
n
g
o
p
er
atin
g
h
o
u
r
s
w
h
ich
ca
u
s
e
a
lo
t
o
f
elec
tr
icit
y
co
s
ts
an
d
ar
e
a
b
ig
w
aste
i
f
n
o
t
t
ak
en
s
er
io
u
s
l
y
[3
]
–
[
5]
.
C
u
r
r
en
tl
y
,
s
tr
ee
tli
g
h
t
tec
h
n
o
lo
g
y
,
e
s
p
ec
iall
y
i
n
p
u
b
lic
b
u
ild
in
g
s
,
i
s
s
till
r
elati
v
el
y
tr
a
d
itio
n
al
w
it
h
m
i
n
i
m
al
m
ea
n
s
o
f
m
ea
s
u
r
i
n
g
h
o
w
m
u
c
h
li
g
h
t
en
ter
s
t
h
e
s
tr
ee
t
an
d
th
e
o
ld
r
eliab
ili
t
y
s
ta
n
d
ar
d
s
a
n
d
s
o
m
eti
m
es
d
o
es
n
o
t
ta
k
e
ad
v
an
ta
g
e
o
f
t
h
e
n
e
w
tech
n
ic
al
g
r
o
w
t
h
[
6
]
,
[
7
]
.
E
f
f
o
r
ts
h
a
v
e
b
ee
n
m
ad
e
to
ef
f
i
cien
tl
y
co
n
s
u
m
e
p
u
b
lic
s
tr
ee
t l
ig
h
tin
g
e
n
er
g
y
[
8
]
.
I
n
ter
ac
tio
n
s
th
a
t
d
o
n
o
t
r
eq
u
ir
e
p
h
y
s
ical
to
u
ch
an
d
t
h
e
ab
ili
t
y
to
s
e
n
d
o
r
r
ec
eiv
e
d
ata
o
v
er
a
n
et
w
o
r
k
b
ec
au
s
e
o
f
its
a
s
s
o
ciatio
n
w
i
t
h
th
e
e
n
v
ir
o
n
m
e
n
t
ca
n
b
e
d
ef
in
ed
as
th
e
I
n
ter
n
et
o
f
t
h
i
n
g
s
(
I
o
T
)
[
9
]
.
I
o
T
h
as
au
to
m
at
ic
r
e
m
o
te
co
n
tr
o
l
ca
p
ab
ilit
ies
t
h
at
h
a
v
e
a
d
o
m
i
n
an
t
i
m
p
ac
t
o
n
en
er
g
y
e
f
f
icie
n
c
y
a
n
d
o
r
g
an
ized
en
er
g
y
m
an
a
g
e
m
e
n
t
[9
]
–
[
1
2
]
.
Fu
zz
y
lo
g
ic
i
s
cu
r
r
en
tl
y
i
n
cr
ea
s
in
g
l
y
u
s
ed
in
v
ar
io
u
s
s
tu
d
ie
s
[
1
3
]
–
[
15]
.
C
o
m
p
r
eh
e
n
s
i
v
e
u
tili
za
tio
n
o
f
I
o
T
an
d
f
u
zz
y
lo
g
ic
f
u
n
c
tio
n
s
ca
n
p
r
o
d
u
ce
s
m
ar
t
s
y
s
te
m
s
.
T
h
e
d
em
an
d
f
o
r
s
m
ar
t s
tr
ee
t lig
h
ti
n
g
f
o
r
d
ev
el
o
p
ed
r
o
ad
s
an
d
h
ig
h
w
a
y
s
h
a
s
i
n
cr
ea
s
ed
[
1
6
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
A
r
ti
f
I
n
tell
I
SS
N:
2252
-
8938
I
n
tern
et
o
f th
in
g
s
a
n
d
f
u
z
z
y
lo
g
ic
fo
r
s
ma
r
t str
ee
t lig
h
tin
g
p
r
o
to
typ
es (
Min
d
it E
r
iya
d
i
)
529
I
n
th
i
s
r
esear
ch
,
I
o
T
is
u
s
ed
to
m
o
n
i
to
r
an
d
co
n
tr
o
l la
m
p
co
n
d
itio
n
s
i
n
t
w
o
co
n
d
itio
n
s
a
n
d
t
o
r
ea
d
th
e
v
alu
e
o
f
la
m
p
li
g
h
t
in
te
n
s
it
y
s
o
th
at
th
e
y
ca
n
m
o
n
ito
r
la
m
p
d
am
a
g
e
co
n
d
itio
n
s
.
T
h
e
ab
ilit
y
to
m
o
n
ito
r
u
s
i
n
g
I
o
T
is
co
m
b
i
n
ed
w
it
h
th
e
u
s
e
o
f
f
u
zz
y
lo
g
ic
to
ad
j
u
s
t
t
h
e
li
g
h
t
in
te
n
s
it
y
au
to
m
atica
ll
y
b
a
s
ed
o
n
th
e
p
r
ese
n
ce
o
f
ca
r
s
a
n
d
p
ed
estrian
s
.
A
p
r
o
to
ty
p
e
w
a
s
m
ad
e
to
test
th
e
f
u
n
ct
io
n
o
f
ea
ch
p
ar
t.
T
esti
n
g
a
n
d
an
al
y
s
i
s
ar
e
p
er
f
o
r
m
ed
o
n
t
h
e
u
s
e
o
f
t
h
e
I
o
T
f
u
n
ctio
n
an
d
f
u
zz
y
lo
g
ic.
S
y
s
te
m
r
eliab
ilit
y
tes
tin
g
,
i
n
te
g
r
ated
s
y
s
te
m
[
1
7
]
,
co
m
p
o
n
e
n
t
la
y
o
u
t,
s
o
m
e
m
o
d
if
icatio
n
o
f
al
g
o
r
ith
m
f
o
r
i
n
cr
ea
s
e
en
er
g
y
s
a
v
i
n
g
,
an
d
u
s
in
g
t
h
e
i
n
ter
n
atio
n
a
l
s
tan
d
ar
d
[
1
8
]
an
d
s
ec
u
r
it
y
[
1
9
]
f
o
r
s
tr
ee
t lig
h
ti
n
g
ca
n
b
e
ca
r
r
ied
o
u
t a
t a
later
s
tag
e.
2.
RE
S
E
ARCH
M
E
T
H
O
D
T
h
is
r
esear
ch
r
es
u
lted
in
a
p
r
o
to
ty
p
e
b
ased
o
n
a
s
u
r
v
e
y
o
f
p
u
b
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I
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531
3.
RE
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SI
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e
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ize
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h
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u
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d
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u
r
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3
.
S
m
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.
1
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esting
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h
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r
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m
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i
n
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ab
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3
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h
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r
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L
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p
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1
5
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5
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d
1
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r
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ti
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x
r
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d
in
g
s
(
L
x
1
,
L
x
2
,
L
x
3
)
in
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8938
I
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A
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ti
f
I
n
tell
,
Vo
l.
10
,
No
.
3
,
Sep
tem
b
er
202
1
:
5
2
8
-
535
532
ap
p
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to
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m
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r
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h
e
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ab
le
4
.
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i
n
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test
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m
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e
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n
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s
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o
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d
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d
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t
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k
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ig
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r
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a)
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d
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t
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ap
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r
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ce
o
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th
e
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n
d
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f
f
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r
esp
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y
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T
ab
le
4
.
L
a
m
p
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tat
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s
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d
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est
No
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1
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l
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(
a)
(
b
)
Fig
u
r
e
4
.
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d
r
o
id
ap
p
licatio
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,
(
a)
co
n
d
itio
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all
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h
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e
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d
(
b
)
1
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h
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3
.
2
.
F
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esting
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o
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ts
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5
0
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e
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Fu
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
:
2
2
5
2
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8938
I
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10
,
No
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3
,
Sep
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202
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s
u
p
p
o
r
t
o
f
t
h
i
s
r
esear
c
h
w
i
th
g
r
an
t
P
en
elit
ian
Ker
j
asa
m
a
P
er
g
u
r
u
a
n
T
in
g
g
i
2
0
1
9
an
d
m
y
t
h
r
ee
s
t
u
d
en
t
s
n
a
m
e
l
y
Dia
n
,
W
in
a
,
a
n
d
Me
y
d
in
a
w
h
o
as
s
is
ted
t
h
is
r
esear
c
h
.
RE
F
E
R
E
NC
E
S
[1
]
H.
A
h
m
a
d
,
K.
Na
se
e
r,
M
.
A
si
f
,
a
n
d
M
.
F
.
A
la
m
,
“
S
m
a
rt
S
tree
t
li
g
h
t
sy
st
e
m
p
o
w
e
re
d
b
y
f
o
o
tstep
s,”
Pro
c
.
-
2
0
1
9
7
th
I
n
t.
Co
n
f.
Gr
e
e
n
Hu
m.
In
f
.
T
e
c
h
n
o
l
.
ICGH
IT
2
0
1
9
,
p
p
.
1
2
2
–
1
2
4
,
2
0
1
9
,
d
o
i:
1
0
.
1
1
0
9
/ICG
HIT
.
2
0
1
9
.
0
0
0
3
6
.
[2
]
D.
K.
S
riv
a
tsa
,
B.
P
re
e
th
i,
R
.
P
a
rin
it
h
a
,
G
.
S
u
m
a
n
a
,
a
n
d
A
.
Ku
m
a
r,
“
S
m
a
rt
stre
e
t
li
g
h
ts,”
Pro
c
.
-
2
0
1
3
T
e
x
a
s
In
stru
me
n
ts I
n
d
i
a
E
d
u
c
.
C
o
n
f
.
T
II
EC
2
0
1
3
,
p
p
.
1
0
3
–
1
0
6
,
2
0
1
3
,
d
o
i:
1
0
.
1
1
0
9
/T
IIE
C.
2
0
1
3
.
2
5
.
[3
]
S
.
G
.
V
a
rg
h
e
se
,
C.
P
.
Ku
r
ian
,
V
.
I.
G
e
o
rg
e
,
A
.
Jo
h
n
,
V
.
Na
y
a
k
,
a
n
d
A
.
Up
a
d
h
y
a
y
,
“
Co
m
p
a
ra
ti
v
e
s
tu
d
y
o
f
z
ig
B
e
e
to
p
o
lo
g
ies
f
o
r
Io
T
-
b
a
se
d
li
g
h
ti
n
g
a
u
to
m
a
ti
o
n
,
”
IET
W
ire
l.
S
e
n
s.
S
y
st.
,
v
o
l.
9
,
n
o
.
4
,
p
p
.
2
0
1
–
2
0
7
,
2
0
1
9
,
d
o
i
:
1
0
.
1
0
4
9
/
iet
-
w
ss
.
2
0
1
8
.
5
0
6
5
.
[4
]
A
.
F
a
ra
h
a
t,
A
.
F
lo
re
a
,
J.
L
.
M
.
L
a
stra
,
C.
Br
a
ñ
a
s,
a
n
d
F
.
J.
A
.
S
á
n
c
h
e
z
,
“
En
e
rg
y
E
ff
icie
n
c
y
Co
n
sid
e
ra
ti
o
n
s
f
o
r
L
ED
-
Ba
s
e
d
L
i
g
h
ti
n
g
o
f
M
u
lt
ip
u
r
p
o
se
Ou
td
o
o
r
En
v
ir
o
n
m
e
n
ts,”
IEE
E
J
.
Eme
rg
.
S
e
l.
T
o
p
.
P
o
we
r
El
e
c
tro
n
.
,
v
o
l.
3
,
n
o
.
3
,
p
p
.
5
9
9
–
6
0
8
,
2
0
1
5
,
d
o
i:
1
0
.
1
1
0
9
/JES
T
P
E.
2
0
1
5
.
2
4
5
3
2
3
1
.
[5
]
A
.
A
b
d
u
ll
a
h
,
S
.
H.
Yu
s
o
f
f
,
S
.
A
.
Zain
i,
N.
S
.
M
i
d
i,
a
n
d
S
.
Y
.
M
o
h
a
m
a
d
,
“
S
m
a
rt
S
tree
t
L
ig
h
t
Us
in
g
In
ten
sity
Co
n
tr
o
ll
e
r,
”
Pro
c
.
2
0
1
8
7
t
h
I
n
t.
C
o
n
f.
Co
mp
u
t.
Co
mm
u
n
.
En
g
.
ICCCE
2
0
1
8
,
p
p
.
3
6
1
–
3
6
5
,
2
0
1
8
,
d
o
i
:
1
0
.
1
1
0
9
/ICCC
E.
2
0
1
8
.
8
5
3
9
3
2
1
.
[6
]
S
.
Ku
m
a
r,
A
.
De
sh
p
a
n
d
e
,
S
.
S
.
Ho
,
J.
S
.
Ku
,
a
n
d
S
.
E.
S
a
rm
a
,
“
Urb
a
n
S
tree
t
L
ig
h
ti
n
g
In
f
r
a
stru
c
tu
re
M
o
n
i
to
ri
n
g
Usi
n
g
a
M
o
b
il
e
S
e
n
so
r
P
lat
f
o
r
m
,
”
IEE
E
S
e
n
s.
J
.
,
v
o
l.
1
6
,
n
o
.
1
2
,
p
p
.
4
9
8
1
–
4
9
9
4
,
2
0
1
6
,
d
o
i
:
1
0
.
1
1
0
9
/JS
EN.
2
0
1
6
.
2
5
5
2
2
4
9
.
[7
]
F
.
L
e
c
c
e
se
,
“
Re
m
o
te
-
c
o
n
tro
l
sy
s
tem
o
f
h
ig
h
e
f
f
i
c
ien
c
y
a
n
d
in
tell
ig
e
n
t
stre
e
t
li
g
h
ti
n
g
u
sin
g
a
z
ig
b
e
e
n
e
tw
o
rk
o
f
d
e
v
ice
s
a
n
d
se
n
so
rs,”
IEE
E
T
ra
n
s.
Po
we
r
De
li
v
.
,
v
o
l.
2
8
,
n
o
.
1
,
p
p
.
2
1
–
2
8
,
2
0
1
3
,
d
o
i
:
1
0
.
1
1
0
9
/T
P
W
RD.2
0
1
2
.
2
2
1
2
2
1
5
.
[8
]
M
.
Eri
y
a
d
i,
A
.
G
.
A
b
d
u
ll
a
h
,
S
.
B.
M
u
li
a
,
a
n
d
H.
Ha
sb
u
ll
a
h
,
“
S
tree
t
li
g
h
ti
n
g
e
ff
icie
n
c
y
w
it
h
p
a
rti
c
le
sw
a
r
m
o
p
ti
m
iza
ti
o
n
a
lg
o
rit
h
m
f
o
ll
o
w
in
g
In
d
o
n
e
sia
n
sta
n
d
a
r
d
,
”
J
.
Ph
y
s.
Co
n
f.
S
e
r.
,
v
o
l.
1
4
0
2
,
n
o
.
4
,
2
0
1
9
,
d
o
i
:
1
0
.
1
0
8
8
/
1
7
4
2
-
6
5
9
6
/1
4
0
2
/4
/
0
4
4
0
0
9
.
[9
]
F
.
Ka
m
a
ru
d
d
in
,
N.
N.
Nik
A
b
d
M
a
li
k
,
N.
A
.
M
u
ra
d
,
N.
M
.
A
b
d
u
l
L
a
ti
ff
,
S
.
K.
S
.
Yu
so
f
,
a
n
d
S
.
A
.
Ha
m
z
a
h
,
“
Io
T
-
b
a
se
d
in
telli
g
e
n
t
irri
g
a
ti
o
n
m
a
n
a
g
e
m
e
n
t
a
n
d
m
o
n
it
o
rin
g
s
y
ste
m
u
sin
g
A
rd
u
i
no
,
”
T
EL
KOM
NIKA
(
T
e
lec
o
mm
u
n
ica
ti
o
n
Co
m
p
u
t
.
El
e
c
tro
n
.
Co
n
tro
l
.
,
v
o
l
.
1
7
,
n
o
.
5
,
p
.
2
3
7
8
,
2
0
1
9
,
d
o
i:
1
0
.
1
2
9
2
8
/t
e
lk
o
m
n
ik
a
.
v
1
7
i5
.
1
2
8
1
8
.
[1
0
]
G
.
S
h
a
h
z
a
d
,
H.
Ya
n
g
,
A
.
W
.
Ah
m
a
d
,
a
n
d
C.
L
e
e
,
“
En
e
rg
y
-
Eff
i
c
ien
t
In
telli
g
e
n
t
S
tree
t
L
ig
h
ti
n
g
S
y
st
e
m
Us
in
g
T
ra
ff
ic
-
A
d
a
p
ti
v
e
Co
n
tro
l,
”
IE
EE
S
e
n
s.
J
.
,
v
o
l.
1
6
,
n
o
.
1
3
,
2
0
1
6
,
d
o
i
:
1
0
.
1
1
0
9
/JS
EN.
2
0
1
6
.
2
5
5
7
3
4
5
.
[1
1
]
M
.
Ca
ro
li
n
e
Vio
la
S
tella
M
a
ry
,
G
.
P
rin
c
e
De
v
a
ra
j,
T
.
A
n
to
T
h
e
e
p
a
k
,
D.
Jo
se
p
h
P
u
sh
p
a
ra
j,
a
n
d
J.
M
o
n
ica
Esth
e
r,
“
In
telli
g
e
n
t
e
n
e
rg
y
e
ff
icie
n
t
stre
e
t
li
g
h
t
c
o
n
tro
ll
in
g
sy
ste
m
b
a
s
e
d
o
n
Io
T
f
o
r
s
m
a
rt
c
it
y
,
”
Pro
c
.
In
t.
Co
n
f.
S
ma
rt
S
y
st.
In
v
e
n
.
T
e
c
h
n
o
l
.
ICS
S
IT
2
0
18
,
n
o
.
Ic
ss
it
,
p
p
.
5
5
1
–
5
5
4
,
2
0
1
8
,
d
o
i:
1
0
.
1
1
0
9
/IC
S
S
IT
.
2
0
1
8
.
8
7
4
8
3
2
4
.
[1
2
]
R.
R.
M
o
h
a
m
e
d
,
M
.
A
.
M
o
h
a
m
e
d
,
A
.
A
h
m
a
d
,
a
n
d
M
.
A
.
H.
A
b
d
Ha
li
m
,
“
P
ro
v
isio
n
i
n
g
o
f
stre
e
t
li
g
h
ti
n
g
b
a
se
d
o
n
a
m
b
ien
c
e
in
ten
sity
f
o
r
s
m
a
rt
c
it
y
,
”
In
d
o
n
e
s.
J
.
E
lec
tr.
En
g
.
C
o
mp
u
t.
S
c
i.
,
v
o
l.
1
2
,
n
o
.
3
,
p
p
.
1
4
0
1
–
1
4
0
6
,
2
0
1
8
,
d
o
i:
1
0
.
1
1
5
9
1
/i
jee
c
s.v
1
2
.
i
3
.
p
p
1
4
0
1
-
1
4
0
6
.
[1
3
]
R.
B.
Ca
ld
o
e
t
a
l.
,
“
De
sig
n
a
n
d
d
e
v
e
lo
p
m
e
n
t
o
f
f
u
z
z
y
lo
g
ic
c
o
n
tro
ll
e
d
d
imm
in
g
li
g
h
ti
n
g
s
y
ste
m
u
sin
g
A
rd
u
in
o
m
icro
c
o
n
tro
ll
e
r,
”
8
t
h
In
t.
Co
n
f.
Hu
ma
n
o
id
,
Na
n
o
tec
h
n
o
l
o
g
y
,
I
n
f.
T
e
c
h
n
o
l
.
Co
mm
u
n
.
C
o
n
tr
o
l.
E
n
v
iro
n
.
M
a
n
a
g
.
HNICEM
2
0
1
5
,
n
o
.
De
c
e
m
b
e
r,
p
p
.
0
–
5
,
2
0
1
6
,
d
o
i:
1
0
.
1
1
0
9
/HNIC
EM
.
2
0
1
5
.
7
3
9
3
1
6
1
.
[1
4
]
D.
Ha
rtan
ti
,
R.
N.
A
z
iza
,
a
n
d
P
.
C.
S
isw
ip
ra
p
ti
n
i,
“
Op
ti
m
iza
ti
o
n
o
f
s
m
a
rt
tra
ff
ic
li
g
h
ts
to
p
re
v
e
n
t
tr
a
ff
ic
c
o
n
g
e
stio
n
u
sin
g
f
u
z
z
y
lo
g
ic,”
T
e
lko
mn
i
k
a
(T
e
lec
o
mm
u
n
ica
ti
o
n
C
o
mp
u
t.
El
e
c
tro
n
.
C
o
n
tr
o
l.
,
v
o
l
.
1
7
,
n
o
.
1
,
p
p
.
3
2
0
–
3
2
7
,
2
0
1
9
,
d
o
i:
1
0
.
1
2
9
2
8
/T
EL
KO
M
NIK
A
.
v
1
7
i
1
.
1
0
1
2
9
.
[1
5
]
K.
Ch
o
e
y
c
h
u
e
n
,
“
F
u
z
z
y
m
e
m
b
e
rsh
ip
f
u
n
c
ti
o
n
o
p
ti
m
iza
ti
o
n
f
o
r
s
m
a
rt
L
ED
la
m
p
u
sin
g
p
a
rti
c
le
s
w
a
r
m
o
p
ti
m
iza
ti
o
n
,
”
2
0
1
8
In
t.
W
o
rk
.
Ad
v
.
Im
a
g
e
T
e
c
h
n
o
l.
IW
AIT
2
0
1
8
,
p
p
.
1
–
4
,
2
0
1
8
,
d
o
i
:
1
0
.
1
1
0
9
/IW
A
IT
.
2
0
1
8
.
8
3
6
9
8
0
8
.
[1
6
]
R.
L
o
h
o
te,
T
.
Bh
o
g
le,
V
.
P
a
tel,
a
n
d
V
.
S
h
e
lk
e
,
“
S
m
a
rt
S
tree
t
L
i
g
h
t
L
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n
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p
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w
e
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s
y
ste
m
.
Evaluation Warning : The document was created with Spire.PDF for Python.