I
ndo
ne
s
i
a
n J
o
ur
na
l
o
f
E
l
e
c
t
r
i
c
a
l
E
ng
i
ne
e
r
i
ng
a
nd C
o
m
p
u
t
e
r
Sc
i
e
nc
e
V
o
l.
1
1
,
N
o.
2
,
A
ug
us
t
201
8
, p
p
.
56
7
~
57
6
I
SSN
:
2502
-
4752
,
D
O
I
:
10.
11
591/
i
j
eecs
.
v
1
1
.i
2
.p
p
567
-
5
76
567
Jou
r
n
al
h
om
e
p
age
:
h
ttp
:
//ia
e
s
c
or
e
.
c
om
/
j
our
nal
s
/
i
nde
x
.
php/
i
j
e
e
c
s
St
ree
t
L
ig
ht
ing
S
y
s
t
e
m
F
o
r S
m
a
r
t
Cit
ies
Us
ing
M
icr
o
-
Co
nt
ro
llers
A
aq
u
i
b
P
ar
k
ar
,
P
r
as
h
an
t
K
u
m
ar
S
oor
i
D
ep
ar
t
m
en
t
o
f
E
l
ect
r
i
cal
an
d
E
l
ec
t
r
o
n
i
cs
E
n
g
i
n
eer
i
n
g
,
H
e
r
io
t
W
a
tt U
n
iv
e
r
s
it
y
D
u
b
a
i
C
a
m
pus
,
U
n
i
t
ed
A
r
ab
E
m
i
r
at
es
A
rt
i
cl
e I
n
f
o
AB
S
T
RAC
T
A
r
tic
le
h
is
to
r
y
:
R
ecei
v
ed
F
eb
15
,
201
8
Re
v
i
se
d
A
pr
12
,
201
8
A
ccep
t
ed
A
pr
2
8
,
20
1
8
T
h
e
m
a
in
g
o
a
l is
t
o
s
im
u
la
te
d
if
f
e
r
e
n
t c
o
n
f
ig
u
r
a
tio
n
s
o
f
s
tr
e
e
t lig
h
ti
n
g
s
y
s
t
e
m
u
si
n
g
DI
AL
u
x
a
nd opt
i
m
i
z
e
t
he
e
ne
r
gy
c
ons
um
pt
i
on.
D
a
t
a
of
t
he
e
x
i
s
t
i
ng
r
oa
d i
n t
he
U
ni
t
e
d A
r
a
b E
m
i
r
a
t
e
s
i
s
c
ons
i
de
r
e
d f
or
s
i
m
ul
a
t
i
on.
S
i
m
ul
a
t
i
on
r
e
s
ul
t
s
a
r
e
va
l
i
da
t
e
d by
bui
l
di
ng
a
ha
r
dw
a
r
e
m
ode
l
.
T
hi
s
i
s
a
c
c
o
m
pl
i
s
he
d
by
us
i
ng
L
E
D
m
odul
e
s
i
ns
t
e
a
d of
t
r
a
di
t
i
o
na
l
H
P
S
bu
l
bs
w
hi
c
h i
s
c
o
nne
c
t
e
d t
o
a
n A
r
dui
no t
o c
o
nt
r
ol
di
f
f
e
r
e
nt
s
e
ns
or
s
.
P
hot
o r
e
s
i
s
t
or
s
a
r
e
us
e
d t
o
a
u
to
m
a
tic
a
ll
y
s
w
itc
h
th
e
lig
h
ts
O
N
o
r
O
F
F
d
e
p
e
n
d
i
n
g
o
n
th
e
lig
h
t
in
te
n
s
ity
.
U
l
t
r
a
s
oni
c
s
e
ns
or
s
a
r
e
us
e
d t
o
de
t
e
c
t
m
ot
i
on of
c
a
r
s
a
nd pe
de
s
t
r
i
a
ns
i
n
or
de
r
to
s
w
it
c
h 50%
of
t
he
l
i
g
ht
s
of
f
i
f
no m
ot
i
o
n i
s
de
t
e
c
t
e
d.
T
he
r
e
c
or
d
e
d da
t
a
i
s
m
o
n
i
t
o
r
ed
b
y
a R
as
p
b
er
r
y
P
i
w
h
i
ch
act
i
n
g
as
a m
o
n
i
t
o
r
i
n
g
d
ev
i
ce.
P
r
act
i
cal
m
eas
u
r
e
m
en
t
s
w
er
e
co
n
d
u
ct
ed
at
d
i
f
f
er
en
t
p
o
i
n
t
s
o
n
t
h
e r
o
ad
s
el
ect
ed
an
d
ar
e
c
o
m
p
a
r
e
d
w
ith
th
e
s
im
u
la
tio
n
r
e
s
u
lts
.
Ke
y
wo
rd
s
:
A
r
d
ui
no
IA
L
u
x
E
n
e
rg
y
H
i
gh
P
r
e
s
s
u
r
e
S
odi
um
(
H
P
S
)
l
a
mp
L
i
g
h
t E
m
it
tin
g
D
io
d
e
s
(
L
E
D
)
Ra
s
p
b
e
r
r
y
P
i
S
e
ns
o
r
s
C
opy
r
i
g
ht
©
201
8
I
ns
t
i
t
ut
e
o
f
A
d
v
anc
e
d E
ngi
ne
e
r
i
ng
an
d
Sc
i
e
nc
e
.
A
l
l
ri
g
h
t
s re
se
rv
e
d
.
Co
rre
sp
o
n
d
i
n
g
Au
t
h
o
r
:
A
aq
u
i
b
P
ar
k
ar
,
D
ep
ar
t
m
en
t
o
f
E
l
ect
r
i
cal
an
d
E
l
ect
r
o
n
i
cs
E
n
g
i
n
eer
i
n
g
,
H
e
r
io
t W
a
tt U
n
iv
e
r
s
it
y
D
u
b
a
i
C
a
m
p
u
s
,
U
n
ite
d
A
r
a
b
E
m
ir
a
te
s
.
E
m
a
il:
a
p327@
hw
.
a
c
.
u
k
1.
I
NT
RO
D
UCT
I
O
N
A
s
t
r
eet
l
i
g
h
t
i
s
a r
ai
s
ed
s
o
u
r
c
e o
f
l
i
g
h
t
u
s
u
al
l
y
f
o
u
n
d
at
t
h
e
ed
g
e o
f
a r
o
ad
o
r
a
w
a
l
k
w
a
y
.
T
h
e
y
ca
n
b
e
s
w
itc
h
e
d
o
n
m
a
n
u
a
ll
y
o
r
u
s
in
g
s
e
n
s
o
r
s
li
k
e
li
g
h
t
s
e
n
s
iti
v
e
p
h
o
to
c
e
lls
o
r
w
it
h
t
h
e
a
id
o
f
a
s
o
la
r
d
ia
l i
n
t
h
e
cas
e o
f
t
h
e o
l
d
er
l
i
g
h
t
i
n
g
s
y
s
t
e
m
.
M
o
s
t
s
t
r
eet
l
i
g
h
t
s
ar
e co
n
n
ect
ed
u
n
d
er
g
r
o
u
n
d
i
n
s
t
ead
o
f
w
i
r
i
n
g
o
n
e
u
t
i
l
i
t
y
pos
t
t
o a
n
ot
h
e
r
.
M
o
d
e
r
n
s
tr
e
e
t li
g
h
ts
u
s
u
a
l
l
y
c
om
pr
i
s
e
of
hi
gh
-
i
n
t
e
n
s
i
t
y d
i
s
c
ha
r
ge
(
H
I
D
)
la
m
p
s
lik
e
H
i
g
h
-
p
re
s
s
u
re
s
odi
um
(
H
P
S
)
la
m
p
s
.
H
P
S
la
m
p
s
p
r
o
v
id
e
a
la
r
g
e
a
m
o
u
n
t
o
f
ill
u
m
in
a
tio
n
f
o
r
a
f
a
ir
l
y
lo
w
c
o
n
s
u
m
p
tio
n
o
f
e
le
c
tr
ic
it
y
.
C
o
m
p
a
r
e
d
to
H
P
S
lig
h
t
w
h
ic
h
is
u
s
u
a
ll
y
y
e
llo
w
/
o
r
a
n
g
e
,
w
h
ite
li
g
h
t
s
o
ur
c
e
s
a
r
e
kno
w
n t
o
d
o
ub
l
e
d
r
i
v
er
’
s
v
i
s
i
o
n
as
w
el
l
as
r
ed
u
ce t
h
e b
r
ak
i
n
g
r
eact
i
o
n
t
i
m
e
b
y
a
m
i
n
i
m
u
m
o
f
2
5
%
.
N
e
w
er
s
t
r
eet
l
i
g
h
t
s
u
s
e
lig
h
t
e
m
itti
n
g
d
io
d
e
s
(
L
E
D
)
w
h
i
c
h
pr
ov
i
de
h
i
gh
l
e
v
e
l
s
of
l
um
e
ns
f
or
a
v
e
r
y
l
ow
c
ons
um
pt
i
o
n
o
f
e
le
c
tr
ic
it
y
[1
]
.
S
tr
e
e
t li
g
h
t
s
c
a
n
b
e
m
a
d
e
i
nt
e
l
l
i
ge
nt
b
y
us
i
n
g d
i
f
f
e
r
e
nt
s
e
ns
o
r
s
w
hi
c
h c
a
n
t
r
i
g
ge
r
t
he
m
w
he
n
t
he
y
d
et
ect
s
o
m
et
h
i
n
g
m
o
v
i
n
g
[2
]
.
S
o
f
t
w
ar
e
can
b
e
u
s
ed
t
o
m
ak
e t
h
e
m
co
m
m
u
n
i
cat
e
w
i
t
h
eac
h
o
t
h
er
an
d
ca
n
b
e
m
o
n
ito
r
e
d
w
ir
e
le
s
s
l
y
.
T
o
im
p
r
o
v
e
th
e
e
f
f
ic
ie
n
c
y
o
f
s
tr
e
e
t lig
h
t
in
g
s
y
s
t
e
m
de
s
i
gn
,
di
f
f
e
r
e
n
t
t
y
pe
s
of
c
onf
i
gu
r
a
t
i
on
s
a
r
e
r
es
ear
ch
ed
an
d
h
i
g
h
l
i
g
h
t
ed
i
n
t
h
i
s
p
ap
er
[3
]
.
A
p
r
o
to
ty
p
e
s
y
s
te
m
d
e
m
o
n
s
tr
a
ti
n
g
s
m
a
r
t s
tr
e
e
t lig
h
t s
y
s
te
m
h
a
s
b
e
e
n b
ui
l
t
w
hi
c
h u
s
e
s
t
w
o
1
9
0
W
L
E
D
l
i
ght
p
a
ne
l
s
.
T
he
L
E
D
l
i
gh
t
s
ha
ve
b
e
e
n c
o
nne
c
t
e
d
t
o
d
i
f
f
e
r
e
nt
s
e
ns
o
r
s
w
h
i
c
h e
na
b
l
e
t
he
m
t
o
s
w
i
t
c
h
o
n a
nd
o
f
f
b
a
s
e
d
o
n
t
he
l
i
gh
t
i
nt
e
ns
i
t
y a
r
o
u
nd
t
he
m
a
nd
d
i
m
s
t
he
p
a
ne
l
s
i
f
no
m
o
v
e
m
e
n
t is
d
e
te
c
te
d
a
r
o
u
n
d
t
h
e
lig
h
t p
a
n
e
ls
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SSN
:
25
02
-
4752
I
nd
o
ne
s
i
a
n J
E
l
e
c
E
ng
&
C
o
m
p
Sc
i
,
Vo
l
.
1
1
, N
o
.
2
,
A
ug
us
t
201
8
:
5
67
–
576
568
S
m
a
r
t s
tr
e
e
t lig
h
t i
s
a
te
c
h
n
iq
u
e
u
s
e
d
in
s
tr
e
e
t li
g
h
t
s
t
h
a
t a
d
a
p
t to
m
o
v
e
m
e
n
t o
f
d
if
f
e
r
e
n
t
o
b
j
e
c
ts
lik
e
p
ed
es
t
r
i
an
s
a
n
d
car
s
.
T
h
es
e s
t
r
eet
l
i
g
h
t
s
can
b
e co
n
t
r
o
l
l
ed
an
d
co
n
n
ect
ed
u
s
i
n
g
I
o
T
al
s
o
[4
]
.
T
he
s
t
r
e
e
t
l
i
ght
s
d
i
m
w
h
e
n
t
he
r
e
i
s
no
a
c
t
i
vi
t
y
d
e
t
e
c
t
e
d
a
nd
b
r
i
ght
e
ns
up
w
h
e
n t
he
r
e
i
s
m
o
ve
m
e
nt
[5
]
.
S
m
a
r
t s
tr
e
e
t li
g
h
t
s
c
a
n
e
ve
n
s
w
i
t
c
h t
he
m
s
e
l
ve
s
o
n
w
h
en
t
h
e l
i
g
h
t
i
n
t
en
s
i
t
y
ar
o
u
n
d
i
t
d
ecr
eas
es
.
I
n
2
0
1
3
a
r
es
ear
ch
t
ea
m
f
r
o
m
F
i
n
l
a
n
d
p
u
b
l
i
s
h
ed
a p
ap
er
s
t
at
i
n
g
h
o
w
e
n
er
g
y
ef
f
i
ci
e
n
c
y
can
b
e
i
m
pr
ov
e
d b
y
u
s
i
ng
m
ode
r
n
L
E
D
t
e
c
hn
ol
ogy
a
n
d a
ddi
ng
i
n
t
e
g
r
a
t
e
d s
e
ns
or
s
[
6
]
.
A
d
a
p
t
i
ve
l
i
g
ht
i
ng
w
hi
c
h i
s
s
e
t
t
o r
e
s
pon
d
t
o
t
h
e p
r
es
en
ce
o
f
p
ed
es
t
r
i
an
s
ca
n
s
av
e
a
n
a
v
er
ag
e o
f
4
0
%
p
o
w
er
w
h
i
ch
w
as
a
ch
i
ev
ed
b
y
d
i
m
m
i
n
g
d
o
w
n
t
h
e
p
o
w
e
r
to
5
0
%
a
f
te
r
f
iv
e
m
in
u
te
s
d
e
la
y
f
r
o
m
th
e
la
s
t d
e
te
c
tio
n
.
I
n
2
0
1
1
a
t
eam
o
f
r
es
ear
ch
er
s
f
r
o
m
S
er
b
i
a p
u
b
l
i
s
h
ed
a p
ap
er
o
n
t
h
e a
m
o
u
n
t
o
f
e
n
er
g
y
b
ei
n
g
s
a
ve
d
b
y s
w
i
t
c
hi
n
g t
o
L
E
D
l
u
m
i
na
i
r
e
s
[
7
]
.
F
or
c
ol
l
e
c
t
or
r
oa
ds
(
i
.
e
.
r
oa
ds
w
i
t
h l
o
w
t
o
m
e
di
um
t
r
a
f
f
i
c
de
ns
i
t
y
)
L
E
D
r
eq
u
i
r
e 1
%
(
s
t
a
g
g
e
r
e
d l
a
y
ou
t
)
a
n
d 10%
(
s
i
n
g
l
e
s
i
de
d l
a
y
ou
t
)
l
e
s
s
pow
e
r
a
n
d f
or
l
oc
a
l
r
oa
ds
,
on
a
v
e
r
a
g
e
6%
a
n
d 24%
l
es
s
p
o
w
er
i
s
u
s
ed
w
h
en
co
m
p
a
r
e
d
to
H
P
S
s
tr
e
e
t li
g
h
t
s
.
I
n
2
0
1
3
a
r
es
ear
ch
t
ea
m
f
r
o
m
S
p
ai
n
s
u
g
g
es
t
ed
an
eas
y
ap
p
r
o
ach
t
o
d
ep
l
o
y
s
t
r
eet
l
i
g
h
t
co
n
t
r
o
l
s
y
s
t
e
m
w
it
h
w
ir
e
le
s
s
te
c
h
n
o
lo
g
y
[
8
]
.
T
he
p
a
p
e
r
i
nvo
l
ve
d
d
e
s
i
g
ni
ng a
n i
nt
e
l
l
i
ge
nt
s
t
r
e
e
t
l
i
g
ht
m
a
na
ge
m
e
nt
s
ys
t
e
m
ba
s
e
d on
L
E
D
w
hi
c
h
c
ou
l
d
f
a
c
ilita
te
its
d
e
p
lo
y
m
e
n
t in
e
x
is
t
in
g
f
a
c
ilitie
s
.
T
h
e
ir
p
r
o
p
o
s
e
d
a
p
p
r
o
a
c
h
w
il
l
m
i
n
i
m
iz
e
th
e
c
o
s
t o
f
in
v
e
s
t
m
e
n
t o
f
tr
a
d
itio
n
a
l
w
ir
e
d
s
y
s
te
m
.
I
n
2016 a
t
e
a
m
of
s
t
u
de
n
t
s
i
n I
n
di
a
pu
bl
i
s
h
e
d t
h
e
i
r
f
i
n
di
ngs
on
S
m
a
r
t
S
t
r
e
e
t
l
i
gh
t
s
y
s
t
e
m
ba
s
e
d on
I
m
ag
e P
r
o
ces
s
i
n
g
[
9
]
.
T
h
ei
r
ar
t
i
cl
e p
r
es
en
t
s
a co
n
cep
t
t
o
b
o
o
s
t
t
h
e e
n
er
g
y
e
f
f
i
ci
e
n
c
y
o
f
a
ci
t
y
.
T
h
ei
r
s
y
s
t
e
m
us
e
s
a
t
i
m
e
r
t
o
s
w
i
t
c
h o
n
t
he
l
i
gh
t
i
n t
he
e
ve
ni
n
g a
nd
s
w
i
t
c
h
i
t
o
f
f
i
n t
he
m
o
r
ni
n
g.
T
he
s
ys
t
e
m
us
e
s
s
e
ns
o
r
s
t
o
d
e
t
e
c
t
ve
hi
c
l
e
a
nd
hu
m
a
n p
r
e
s
e
nc
e
o
n hi
gh
w
a
ys
t
o
s
w
i
t
c
h o
n a
c
hu
n
k o
f
l
i
g
ht
s
a
he
a
d
o
f
i
t
a
nd
s
w
i
t
c
h o
f
f
t
he
t
r
a
i
l
i
n
g l
i
ght
s
.
T
hi
s
w
a
s
a
c
hi
e
ve
d
b
y
p
r
o
c
e
s
s
i
n
g t
he
i
m
a
ge
o
f
a
p
p
r
o
a
c
hi
ng o
b
j
e
c
t
s
a
nd
t
he
n s
e
nd
i
n
g
c
o
m
m
a
n
d
s
to
s
tr
e
e
t li
g
h
t b
lo
c
k
s
.
I
n
2
0
1
7
a r
es
ear
ch
t
eam
p
u
b
l
i
s
h
ed
a p
ap
er
o
n
t
h
e ad
v
an
t
ag
e
s
o
f
u
s
i
n
g
L
E
D
s
tr
e
e
t lig
h
ts
a
n
d
i
n
t
e
g
r
a
t
i
ng
I
oT
i
n
t
o t
h
e
i
r
pr
op
os
e
d m
ode
l
[
10
].
T
h
e
f
ir
s
t p
a
te
n
t f
o
r
th
e
s
m
a
r
t s
tr
e
e
t lig
h
t
w
a
s
f
ile
d
in
t
h
e
la
te
1
9
9
0
s
[
11
]
.
T
h
e
f
ir
s
t la
r
g
e
-
s
cal
e
i
m
pl
e
m
e
n
t
a
t
i
on
o
f
t
h
e
s
m
a
r
t
s
t
r
e
e
t
l
i
gh
t
s
y
s
t
e
m
w
a
s
done
on
7t
h
A
pr
i
l
2006 i
n O
s
l
o
N
o
r
w
ay
an
d
w
as
ex
p
ect
ed
t
o
r
ed
u
ce u
s
ag
e b
y
5
0
%
w
h
i
l
e i
m
p
r
o
v
i
n
g
r
o
ad
s
af
et
y
an
d
m
i
n
i
m
i
zi
n
g
m
a
i
n
t
e
n
a
n
ce co
s
t
s
[
12
]
.
T
he
O
s
l
o
p
r
o
j
e
c
t
c
a
ught
t
he
a
t
t
e
n
t
i
o
n o
f
o
t
he
r
E
ur
o
p
e
a
n c
i
t
i
e
s
t
o
r
e
d
uc
e
e
ne
r
g
y
us
a
ge
i
n o
u
t
d
o
o
r
l
i
ght
i
n
g
s
ys
t
e
m
s
i
n t
he
E
ur
o
p
e
a
n U
ni
o
n
(E
U
).
In
t
h
i
s
p
r
o
j
ect
,
v
ar
i
o
u
s
s
i
m
u
l
at
i
o
n
s
w
er
e p
er
f
o
r
m
ed
u
s
i
n
g
D
I
A
L
u
x
t
o
c
h
eck
t
h
e p
er
f
o
r
m
an
ce o
f
d
if
f
e
r
e
n
t s
tr
e
e
t
lig
h
t l
u
m
i
n
a
ir
e
s
a
n
d
c
o
m
p
a
r
e
th
e
ir
e
n
e
r
g
y
c
o
n
s
u
m
p
tio
n
s
[
13
]
.
T
h
e
s
i
m
u
la
tio
n
a
ls
o
h
e
lp
e
d
in
d
e
te
r
m
in
i
n
g
t
h
e
id
e
a
l d
is
ta
n
c
e
b
e
t
w
e
e
n
t
w
o
s
tr
e
e
t li
g
h
t p
o
l
es
an
d
t
h
e
i
d
eal
an
g
l
e
f
o
r
t
h
e l
u
m
i
n
ai
r
e o
n
t
h
e p
o
l
e
al
o
n
g
w
i
t
h
t
h
e i
d
eal
d
i
s
t
a
n
ce f
o
r
t
h
e p
o
l
e t
o
b
e
p
l
aced
aw
a
y
f
r
o
m
t
h
e r
o
ad
.
T
h
e
pr
ot
ot
y
pe
c
ons
t
r
u
c
t
e
d
u
s
e
s
t
w
o 190W
L
E
D
l
i
g
h
t
pa
n
e
l
s
.
T
h
e
L
E
D
pa
n
e
l
s
a
r
e
c
on
t
r
ol
l
e
d u
s
i
ng
di
f
f
e
r
e
n
t
s
e
ns
or
s
s
u
c
h a
s
a
n
ul
tr
a
s
o
n
ic
f
o
r
m
o
tio
n
d
e
te
c
tio
n
a
n
d
p
h
o
to
r
e
s
is
to
r
s
to
c
h
e
c
k
t
h
e
i
n
te
n
s
it
y
o
f
li
g
h
t
i
n
t
h
e
s
u
r
r
oun
di
ng
s
.
T
h
e
s
e
ns
or
s
a
r
e
c
on
t
r
ol
l
e
d b
y
a
n
A
r
dui
n
o M
e
g
a
m
i
c
r
oc
on
t
r
ol
l
e
r
w
h
i
c
h
i
s
c
onn
e
c
t
e
d t
o a
R
as
p
b
er
r
y
P
i
3
t
h
at
act
s
a
s
a
m
o
n
i
t
o
r
i
n
g
d
ev
i
ce
w
h
i
ch
can
u
p
d
at
e t
h
e
c
ode
of
t
h
e
A
r
du
i
n
o
us
i
ng
a
v
i
r
t
u
a
l
n
et
w
o
r
k
co
n
n
ect
i
o
n
(V
N
C
).
F
i
g
ur
e
1 s
h
o
w
s
t
h
e
s
c
h
e
m
a
t
i
c
s
of
h
a
r
d
w
a
r
e
i
m
pl
e
m
e
n
t
a
t
i
on
of
t
h
e
pr
ot
ot
y
pe
m
ode
l
.
F
ig
u
r
e
1
.
B
lo
c
k
D
ia
g
r
a
m
o
f
H
a
r
d
w
a
r
e
I
m
p
le
m
e
n
ta
tio
n
2.
R
ES
EA
R
C
H
M
ETH
O
D
2
.1
.
S
y
s
t
em
D
et
a
i
l
s
1)
A
r
d
ui
no
M
E
G
A
T
h
e
A
r
du
i
n
o
m
i
c
r
oc
on
t
r
ol
l
e
r
u
s
e
s
a
n
A
T
m
e
g
a
2560 pr
oc
e
s
s
or
.
T
h
i
s
s
y
s
t
e
m
pr
ov
i
de
s
s
e
t
s
o
f
54
d
ig
ita
l a
n
d
1
6
a
n
a
lo
g
i
n
put
/
ou
t
pu
t
pi
n
s
t
h
a
t
m
a
y
be
i
n
t
e
r
f
a
c
e
d t
o v
a
r
i
o
u
s
c
i
r
c
u
i
t
s
a
nd e
x
pa
n
s
i
on
boa
r
ds
(
s
h
i
el
d
s
)
.
T
h
e b
o
ar
d
f
eat
u
r
es
a u
n
i
v
er
s
al
s
er
i
al
b
u
s
(
U
S
B
)
f
o
r
l
o
ad
i
n
g
p
r
o
g
r
a
m
s
.
T
h
e b
o
ar
d
i
s
p
r
o
g
r
am
m
ed
A
r
d
u
i
no
Ult
r
a
s
o
n
ic
S
e
ns
or
P
h
ot
or
e
s
i
s
t
o
r
R
el
a
y
S
tr
e
e
t L
ig
h
ts
(D
C
)
S
tr
e
e
t
L
ig
h
ts
(
DC
)
R
a
s
pbe
r
r
y
P
i
P
o
w
e
r
S
u
p
p
l
y
(
DC
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
nd
o
ne
s
i
a
n J
E
l
e
c
E
ng
&
C
o
m
p
S
c
i
I
SSN
:
2502
-
4752
S
tr
e
e
t L
ig
h
tin
g
S
y
s
te
m
F
o
r
S
m
a
r
t C
itie
s
U
s
in
g
M
ic
r
o
-
Co
n
t
ro
l
l
e
rs
(
A
aqui
b P
ar
k
ar
)
569
us
i
n
g d
i
a
l
e
c
t
s
f
r
o
m
p
r
o
gr
a
m
m
i
ng
l
a
ng
ua
ge
s
l
i
ke
C
a
nd
C
+
+
.
I
n t
hi
s
p
r
o
j
e
c
t
,
t
h
e
A
r
du
i
n
o i
s
us
e
d t
o
s
e
n
d a
n
d
r
ecei
v
e d
at
a f
r
o
m
v
ar
i
o
u
s
s
e
n
s
o
r
s
.
2)
Ra
s
p
b
e
r
r
y
P
i
3
T
h
e R
as
p
b
er
r
y
P
i
3
i
s
a
s
m
al
l
s
i
zed
s
i
n
g
l
e
-
boa
r
d c
om
put
e
r
u
s
i
ng
a
64
-
b
it q
u
a
d
-
co
r
e
A
R
M
C
o
r
t
ex
-
A
53 pr
oc
e
s
s
or
.
T
h
e
R
a
s
pbe
r
r
y
P
i
3 i
s
c
o
m
pa
t
i
bl
e
w
i
t
h
di
f
f
e
r
e
n
t
ope
r
a
t
i
ng
s
y
s
t
e
ms
(
O
S
)
lik
e
W
in
d
o
w
s
I
nt
e
r
ne
t
o
f
T
hi
n
gs
(
I
o
T
)
,
L
i
nu
x,
R
a
s
p
b
i
a
n b
a
s
e
d
o
n t
he
us
e
r
r
e
q
ui
r
e
m
e
nt
s
.
I
n t
hi
s
p
r
o
j
e
c
t
,
t
he
r
a
s
p
b
e
r
r
y
p
i
i
s
u
s
e
d
to
m
o
n
ito
r
th
e
d
a
ta
f
r
o
m
th
e
A
r
d
u
i
n
o
w
ir
e
le
s
s
l
y
.
3)
U
ltr
a
s
o
n
ic
S
e
n
s
o
r
U
ltr
a
s
o
n
ic
s
e
n
s
o
r
s
a
r
e
u
s
e
d
to
d
e
te
c
t m
o
tio
n
a
n
d
m
e
as
u
r
e d
i
s
t
an
ce
f
r
o
m
t
h
e s
e
n
s
o
r
t
o
an
o
b
j
ect
i
t
i
s
f
aci
n
g
.
U
l
t
r
as
o
n
i
c
s
en
s
o
r
s
ar
e u
s
ed
i
n
m
a
n
y
au
t
o
m
at
ed
i
n
d
u
s
t
r
i
es
an
d
p
r
o
ces
s
p
l
an
t
s
.
T
h
e s
en
s
o
r
s
h
av
e d
i
g
i
t
a
l
on
a
n
d
of
f
o
u
t
pu
t
s
f
or
de
t
e
c
t
i
n
g
t
h
e
m
o
v
e
m
e
n
t
o
f
obj
e
c
t
s
a
n
d
a
n
a
n
a
l
og
ou
t
put
t
h
a
t
i
s
pr
op
or
t
i
on
a
l
to
th
e
d
i
s
t
an
ce.
U
l
t
r
as
o
n
i
c s
e
n
s
o
r
s
can
al
s
o
b
e u
s
ed
t
o
d
et
ect
l
i
q
u
i
d
l
ev
el
m
ea
s
u
r
e
m
e
n
t
an
d
o
b
j
ect
s
w
i
t
h
t
ar
g
et
t
r
an
s
l
u
cen
ce,
a
n
d
t
h
e
y
ca
n
ev
en
o
p
er
at
e i
n
e
n
v
i
r
o
n
m
en
t
s
w
i
t
h
a
h
i
g
h
g
l
ar
e.
U
l
t
r
as
o
n
i
c s
en
s
o
r
s
ar
e b
ei
n
g
te
s
te
d
f
o
r
u
ltr
a
s
o
n
ic
p
e
o
p
le
d
e
te
c
tio
n i
n c
a
r
s
a
nd
a
ut
o
no
m
o
u
s
f
e
a
t
ur
e
s
i
n a
n
un
m
a
nne
d
a
e
r
i
a
l
ve
hi
c
l
e
s
(
U
A
V
)
.
T
h
e
u
ltr
a
s
o
n
ic
s
e
n
s
o
r
u
s
e
d
in
th
is
p
r
o
j
e
c
t is
H
C
-
S
R
0
4
.
T
h
i
s
eco
n
o
m
i
c s
e
n
s
o
r
h
as
a r
an
g
e f
r
o
m
2
c
m
t
o
4
m
o
f
n
o
n
co
n
t
act
m
ea
s
u
r
e
m
en
t
w
i
t
h
an
acc
u
r
ac
y
o
f
3
m
m
.
E
ac
h
m
o
d
u
l
e
h
as
a
n
u
l
t
r
as
o
n
i
c
tr
a
n
s
m
itte
r
,
r
ecei
v
er
,
an
d
a co
n
t
r
o
l
ci
r
cu
i
t
.
4)
L
i
gh
t
I
nt
e
ns
i
t
y S
e
ns
o
r
A
p
h
o
to
r
e
s
is
to
r
i
s
a
lig
h
t
c
o
n
tr
o
lle
d
v
a
r
ia
b
le
r
e
s
i
s
to
r
.
T
h
e
r
e
s
is
ta
n
c
e
o
f
th
e
p
h
o
to
r
e
s
is
to
r
is
p
r
o
p
o
r
tio
n
a
l to
th
e
in
te
n
s
it
y
o
f
lig
h
t.
I
t is
m
a
d
e
u
p
o
f
a
h
ig
h
r
e
s
i
s
ta
n
c
e
s
e
m
ic
o
n
d
u
c
to
r
a
n
d
can
h
av
e a
r
es
i
s
t
a
n
ce
o
f
s
ev
er
al
m
e
g
ao
h
m
s
(
M
Ω
)
w
h
e
n
ke
p
t
i
n
t
he
l
i
g
ht
.
P
ho
t
o
r
e
s
i
s
t
o
r
s
c
a
n
b
e
u
s
e
d
i
n
va
r
i
o
us
i
t
e
m
s
l
i
ke
c
a
m
e
r
a
l
i
gh
t
m
e
t
e
r
s
,
c
l
oc
ks
,
a
n
d n
i
g
h
t
l
i
gh
t
s
.
T
h
e
s
e
n
s
or
us
e
d f
or
t
h
i
s
pr
oj
e
c
t
i
s
a
55
28 m
ode
l
ph
ot
or
e
s
i
s
t
or
.
5)
R
el
a
y
M
o
d
u
l
e B
o
ar
d
A r
e
l
a
y
m
o
d
u
l
e b
o
ar
d
i
s
u
s
ed
t
o
co
n
n
ect
an
ex
t
er
n
al
p
o
w
er
s
u
p
p
l
y
t
o
d
i
f
f
er
en
t
co
m
p
o
n
en
t
s
u
s
ed
b
y
t
h
e
A
r
du
i
n
o.
F
or
t
h
i
s
pr
oj
e
c
t
,
a
t
w
o
-
c
ha
n
ne
l
r
e
l
a
y
i
s
us
e
d
w
hi
c
h c
a
n
ha
nd
l
e
A
C
up
t
o
2
5
0V
,
1
0
A
a
nd
D
C
up
t
o 30,
1
0A
.
2
.
2
.
H
ar
d
w
ar
e
I
m
p
l
e
m
e
n
t
at
i
on
F
o
r
th
is
p
r
o
j
e
c
t,
A
r
d
u
i
n
o
Me
g
a i
s
u
s
ed
as
t
h
e
m
ai
n
co
n
t
r
o
l
d
ev
i
ce.
T
h
er
e i
s
a
n
u
l
t
r
as
o
n
i
c
s
en
s
o
r
an
d
t
w
o
p
h
o
to
r
e
s
is
to
r
s
c
o
n
n
e
c
te
d
to
th
e
d
ig
ita
l p
i
n
s
o
n
t
h
e
A
r
d
u
in
o
w
h
ic
h
tr
a
n
s
m
it
t
h
e
ir
d
a
ta
e
v
e
r
y
1
0
m
s
.
B
a
s
e
d
o
n t
he
va
l
ue
s
r
e
c
e
i
ve
d
f
r
o
m
t
he
s
e
ns
o
r
s
b
y
t
he
A
r
d
ui
no
i
t
c
a
n s
e
nd
t
h
e ap
p
r
o
p
r
i
at
e co
m
m
an
d
s
t
o
t
h
e r
el
a
y
w
h
et
h
er
t
o
s
w
i
t
c
h
t
h
e s
t
r
eet
l
i
g
h
t
s
o
n
o
r
o
f
f
.
T
h
i
s
w
h
o
l
e p
r
o
ces
s
can
b
e
m
o
n
i
t
o
r
ed
as
t
h
e
d
at
a i
s
t
r
an
s
m
i
t
t
ed
by
t
h
e
r
a
s
pbe
r
r
y
pi
w
i
r
e
l
e
s
s
l
y
.
C
h
a
n
g
e
s
t
o t
h
e
A
r
du
i
n
o pr
og
r
a
m
c
a
n
a
l
s
o be
don
e
w
i
r
e
l
e
s
s
l
y
.
2
.
3
.
E
x
p
eri
m
en
t
al
D
at
a C
ol
l
e
c
t
e
d
1)
M
a
in
D
i
s
tr
ib
u
to
r
R
o
a
d
D
at
a co
l
l
ect
ed
f
r
o
m
a
m
a
i
n
D
i
s
tr
ib
u
to
r
R
o
a
d
lo
c
a
te
d
in
U
n
it
e
d
A
r
a
b
E
m
ir
a
te
s
i
s
:
R
oa
d L
e
ng
t
h
:
-
2550m
a
ppr
ox
i
m
a
t
e
l
y
N
o
o
f
S
tr
e
e
t L
i
g
h
t P
o
le
s
:
-
51
D
i
s
t
a
n
ce O
f
S
ep
ar
at
i
o
n
:
-
50
m
L
e
ngt
h o
f
P
o
l
e
:
-
16
m
N
o.
O
f
B
u
l
bs
on
each
P
o
l
e :
-
2
P
ow
e
r
O
f
B
u
l
b :
-
400W
E
n
e
r
gy
C
ons
um
pt
i
o
n
of
on
e
p
ol
e
/
D
a
y
(
B
a
s
e
d on
11 H
ou
r
s
pe
r
D
a
y
)
:
-
8.
8k
W
h
E
n
e
r
gy
C
ons
um
pt
i
o
n
of
e
nt
i
r
e
s
t
r
e
e
t
/
D
a
y
(
B
a
s
e
d on
11 H
ou
r
s
pe
r
D
a
y
)
:
-
448.
8k
W
h
M
an
u
f
act
u
r
er
O
f
B
u
l
b
:
-
N
i
k
kon
B
u
l
b T
y
pe
:
-
HP
S
2)
L
i
nk R
o
a
d
R
oa
d
L
e
n
gt
h :
-
950m
a
ppr
ox
i
m
a
t
e
l
y
N
o
o
f
S
tr
e
e
t L
i
g
h
t P
o
le
s
:
-
31
D
is
t.
O
f
S
e
p
a
r
a
tio
n
:
-
30
m
L
e
ngt
h o
f
P
o
l
e
:
-
10
m
N
o
.
O
f
B
u
l
b
s
o
n
each
P
o
l
e :
-
1
P
ow
e
r
O
f
B
u
l
b :
-
250W
E
n
e
r
gy
C
ons
um
pt
i
o
n
of
on
e
p
ol
e
/
D
a
y
(
B
a
s
e
d on
11 H
ou
r
s
/
D
a
y
)
:
-
2.
75k
W
h
E
n
e
r
gy
C
ons
um
pt
i
o
n
of
e
nt
ir
e
s
tr
e
e
t/D
a
y
(
B
a
s
e
d
o
n
1
1
H
o
u
r
s
/D
a
y
)
:
-
85.
25k
W
h
M
an
u
f
act
u
r
er
O
f
B
u
l
b
:
-
N
i
k
kon
B
u
l
b T
y
pe
:
-
H
P
S
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SSN
:
25
02
-
4752
I
nd
o
ne
s
i
a
n J
E
l
e
c
E
ng
&
C
o
m
p
Sc
i
,
Vo
l
.
1
1
, N
o
.
2
,
A
ug
us
t
201
8
:
5
67
–
576
570
3)
L
UX R
e
a
d
i
n
g
s
L
U
X
r
e
a
d
i
n
gs
w
e
r
e
t
a
ke
n o
n
d
i
f
f
e
r
e
nt
p
o
r
t
i
o
ns
o
f
t
he
r
o
a
d
a
s
gi
ve
n i
n F
i
g
ur
e
2 a
n
d F
i
g
ur
e
3.
F
i
g
ur
e
2
.
R
e
a
d
i
ng
s
t
a
ke
n o
n d
i
f
f
e
r
e
nt
por
t
i
on
s
F
i
g
u
r
e 3
.
L
U
X
R
ead
i
n
g
s
T
ak
en
f
o
r
H
P
S
3.
R
ES
U
LT
S
A
ND AN
AL
Y
S
I
S
3.
1.
M
ai
n
D
i
s
t
r
i
b
u
t
or
R
oad
S
i
m
u
la
tio
n
is
c
a
r
r
ie
d
o
u
t f
o
r
t
h
e
d
a
ta
c
o
lle
c
te
d
f
o
r
th
e
M
a
in
D
is
tr
ib
u
to
r
R
o
a
d
a
n
d
s
i
m
u
la
t
io
n
r
e
s
u
l
ts
f
o
r
H
P
S
l
a
m
p
(
4
0
0
W
each
)
ar
e p
r
es
en
t
ed
i
n
F
i
g
.
4
-
8 be
l
o
w
.
1)
H
P
S
L
a
mp
P
ar
am
et
er
s
U
s
ed
f
o
r
M
ai
n
D
i
s
t
r
i
b
u
t
o
r
R
o
ad
C
o
m
p
a
r
i
n
g t
he
r
e
a
d
i
n
gs
t
a
ke
n
i
n F
i
g
ur
e
3
u
s
i
n
g
a
L
U
X
m
et
er
w
i
t
h
t
h
e s
i
m
u
l
at
ed
r
ead
i
n
g
s
i
n
F
i
g
ur
e
7
,
it c
a
n
b
e s
een
t
h
at
t
h
e e
x
p
er
i
m
e
n
t
al
v
al
u
e
s
ar
e v
er
y
cl
o
s
e t
o
t
h
e s
i
m
u
l
at
i
o
n
r
es
u
l
t
s
.
F
i
gu
r
e
5.
2
-
D
l
a
y
out
of
t
h
e
R
o
a
d f
or
H
P
S
L
a
m
p
Fi
g
ur
e
4
.
S
i
m
u
l
at
i
o
n
P
ar
am
et
e
r
s
U
s
ed
f
o
r
H
P
S
L
a
m
p
Evaluation Warning : The document was created with Spire.PDF for Python.
I
nd
o
ne
s
i
a
n J
E
l
e
c
E
ng
&
C
o
m
p
S
c
i
I
SSN
:
2502
-
4752
S
tr
e
e
t L
ig
h
tin
g
S
y
s
te
m
F
o
r
S
m
a
r
t C
itie
s
U
s
in
g
M
ic
r
o
-
Co
n
t
ro
l
l
e
rs
(
A
aqui
b P
ar
k
ar
)
571
T
ab
l
e 1
.
C
om
pa
r
i
s
on
B
e
t
w
e
e
n S
i
m
u
l
at
ed
an
d
E
x
p
er
i
m
en
t
al
V
al
u
es
S
.
N
o.
1
2
3
4
E
x
p
er
i
m
en
t
a
l
R
e
a
d
i
n
g
(
L
U
X
)
1
1
.
5
1
1
.
9
1
5
.
1
3
7
.
0
S
i
m
u
l
at
ed
R
e
a
d
i
n
g
(
L
U
X
)
1
1
.
0
1
3
.
0
1
4
.
0
3
9
.
0
D
i
ffe
re
n
c
e
0
.5
1
.1
0
.9
2
.0
Fi
g
ur
e
8
s
h
o
w
s
t
h
e co
m
p
l
et
e
ev
al
u
a
t
i
o
n
o
f
t
h
e
s
i
m
u
l
at
i
o
n
r
es
u
l
t
w
i
t
h
H
P
S
L
a
m
p
.
I
t
ca
n
b
e s
een
t
h
at
th
e
r
e
s
u
lts
a
r
e
m
a
tc
h
i
n
g
w
it
h
t
h
e
I
n
te
r
n
a
tio
n
a
l
s
ta
n
d
a
r
d
s
.
Fi
g
ur
e
8
.
S
i
m
u
la
tio
n
R
e
s
u
lt
s
O
b
ta
in
e
d
f
o
r
H
P
S
L
a
m
p
F
i
gu
r
e
7.
D
e
ta
ile
d
V
ie
w
o
f
2
-
D
l
a
y
ou
t
o
f
t
h
e
r
oa
d
w
i
t
h
s
i
m
ul
a
t
e
d L
U
X
R
e
a
di
ng
s
f
or
H
P
S
L
a
m
p
F
i
gu
r
e
6.
3
-
D
l
a
y
out
of
t
h
e
R
o
a
d f
or
H
P
S
L
a
m
p
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SSN
:
25
02
-
4752
I
nd
o
ne
s
i
a
n J
E
l
e
c
E
ng
&
C
o
m
p
Sc
i
,
Vo
l
.
1
1
, N
o
.
2
,
A
ug
us
t
201
8
:
5
67
–
576
572
2)
LED
Li
g
h
t
s
S
i
m
u
l
at
i
o
n
s
ar
e car
r
i
ed
o
u
t
b
y
ch
an
g
i
n
g
t
h
e l
u
m
i
n
ai
r
e t
o
L
E
D
P
an
el
s
(
1
9
0
W
each
)
an
d
ar
e p
r
es
en
t
ed
i
n F
i
g
ur
e
9
-
12.
T
h
e d
i
s
t
an
ce b
et
w
ee
n
p
o
l
es
w
as
r
ed
u
ced
f
r
o
m
5
0
m
i
n
t
h
e cas
e o
f
H
P
S
t
o
3
5
m
f
o
r
L
E
D
l
i
g
h
t
s
w
h
i
l
e
t
h
e
h
e
i
g
h
t
of
t
h
e
pol
e
w
a
s
r
e
du
c
e
d f
r
o
m
16
m
f
or
H
P
S
t
o
14m
f
or
L
E
D
l
i
gh
t
s
.
T
h
i
s
w
a
s
don
e
t
o
m
e
e
t
t
he
r
e
q
u
ir
e
m
e
n
ts
f
o
r
th
e
in
te
r
n
a
tio
n
a
l s
ta
n
d
a
r
d
s
f
o
r
s
tr
e
e
t li
g
h
t
in
g
s
y
s
te
m
d
e
s
i
g
n
.
Fi
g
ur
e
1
2
s
h
o
w
s
t
h
e
co
m
p
l
et
e ev
al
u
at
i
o
n
o
f
t
h
e s
i
m
u
l
at
i
o
n
r
es
u
l
t
w
i
t
h
L
E
D
L
a
m
p
s
.
I
t
c
an
b
e
s
ee
n
th
a
t t
h
e
r
e
s
u
l
ts
a
r
e
m
a
tc
h
i
n
g
w
ith
t
h
e
I
n
te
r
n
a
tio
n
a
l
s
ta
n
da
r
ds
.
P
ar
am
et
er
s
U
s
ed
f
o
r
M
ai
n
D
i
s
t
r
i
b
u
t
o
r
R
o
ad
Fi
g
ur
e
11
.
P
ar
am
et
er
s
U
s
ed
f
o
r
t
h
e S
i
m
u
l
a
t
i
o
n
o
f
L
E
D
P
an
el
s
Fi
g
ur
e
10
.
3
-
D
L
a
y
o
u
t
o
f t
h
e
R
o
a
d
fo
r
L
E
D
P
a
n
e
l
s
Fi
g
ur
e
9
.
2
-
D
L
a
y
o
u
t
o
f t
h
e
r
o
a
d
fo
r
L
E
D
P
a
n
e
l
s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
nd
o
ne
s
i
a
n J
E
l
e
c
E
ng
&
C
o
m
p
S
c
i
I
SSN
:
2502
-
4752
S
tr
e
e
t L
ig
h
tin
g
S
y
s
te
m
F
o
r
S
m
a
r
t C
itie
s
U
s
in
g
M
ic
r
o
-
Co
n
t
ro
l
l
e
rs
(
A
aqui
b P
ar
k
ar
)
573
3.
2
.
Li
n
k
R
oad
S
i
m
u
la
tio
n
is
c
a
r
r
ie
d
o
u
t
f
o
r
th
e
d
a
ta
c
o
lle
c
te
d
f
o
r
th
e
L
i
n
k
R
o
a
d
a
n
d
s
i
m
u
la
tio
n
r
e
s
u
lt
s
f
o
r
H
P
S
l
a
m
p
(
2
5
0
W
each
)
ar
e
p
r
es
en
t
ed
i
n
F
i
g
.
1
3
-
14 be
l
o
w
.
1)
H
PS
L
a
mp
P
ar
am
et
er
s U
sed
f
o
r
Ma
i
n
D
i
st
r
i
b
u
t
o
r
R
o
ad
Fi
g
ur
e
13
.
S
i
m
u
l
at
i
o
n
P
ar
a
m
et
er
s
U
s
ed
f
o
r
H
P
S
L
a
m
p
Fi
g
ur
e
1
4
s
h
o
w
s
t
h
e co
m
p
l
et
e
ev
al
u
a
t
i
o
n
o
f
t
h
e
s
i
m
u
l
at
i
o
n
r
e
s
u
l
t
w
i
t
h
H
P
S
L
a
m
p
.
I
t
can
b
e s
een
t
h
at
th
e
r
e
s
u
lts
a
r
e
m
a
tc
h
i
n
g
w
it
h
t
h
e
I
n
te
r
n
a
tio
n
a
l
s
ta
n
d
a
r
d
s
.
Fi
g
ur
e
12
.
S
i
m
u
la
tio
n
R
e
s
u
lts
O
b
ta
in
e
d
f
o
r
L
E
D
P
a
n
e
l
s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SSN
:
25
02
-
4752
I
nd
o
ne
s
i
a
n J
E
l
e
c
E
ng
&
C
o
m
p
Sc
i
,
Vo
l
.
1
1
, N
o
.
2
,
A
ug
us
t
201
8
:
5
67
–
576
574
2)
L
E
D
L
i
g
h
t
s
S
i
m
u
l
at
i
o
n
s a
r
e ca
r
r
i
ed
o
u
t
b
y
ch
an
g
i
n
g
t
h
e l
u
m
i
n
ai
r
e
t
o
L
E
D
P
an
el
s
(
9
0
W each
)
an
d
ar
e
pr
e
s
e
nt
e
d i
n F
i
g
ur
e
15
-
16.
P
ar
am
et
er
s
U
s
ed
f
o
r
Mai
n
D
i
s
t
r
i
b
u
t
o
r
R
o
ad
Fi
g
ur
e
1
6
s
h
o
w
s
t
h
e
co
m
p
l
et
e ev
al
u
at
i
o
n
o
f
t
h
e s
i
m
u
l
at
i
o
n
r
es
u
l
t
w
i
t
h
L
E
D
L
a
m
p
s
.
I
t
c
an
b
e
s
ee
n
t
ha
t
t
he
r
e
s
ul
t
s
a
r
e
m
a
t
c
hi
n
g
w
i
t
h t
he
I
nt
e
r
na
t
i
o
na
l
s
t
a
nd
a
r
d
s
.
Fi
g
ur
e
1
5
.
P
ar
am
et
er
s
U
s
ed
f
o
r
t
h
e S
i
m
u
l
a
t
i
o
n
o
f
L
E
D
P
an
el
s
Fi
g
ur
e
14
.
S
i
m
u
la
tio
n
R
e
s
u
lts
O
b
ta
i
n
e
d
fo
r
H
P
S
L
a
m
p
Evaluation Warning : The document was created with Spire.PDF for Python.
I
nd
o
ne
s
i
a
n J
E
l
e
c
E
ng
&
C
o
m
p
S
c
i
I
SSN
:
2502
-
4752
S
tr
e
e
t L
ig
h
tin
g
S
y
s
te
m
F
o
r
S
m
a
r
t C
itie
s
U
s
in
g
M
ic
r
o
-
Co
n
t
ro
l
l
e
rs
(
A
aqui
b P
ar
k
ar
)
575
4.
CO
NCL
U
S
I
O
N
W
h
e
n
c
o
m
p
a
r
i
n
g
t
h
e
s
i
m
u
la
t
io
n
r
e
s
u
lt
s
f
o
r
M
a
i
n
D
is
tr
ib
u
to
r
R
o
a
d
u
s
in
g
tr
a
d
itio
n
a
l H
P
S
L
a
m
p
s
(
Fi
g
ur
e
8
)
an
d
L
E
D
p
an
el
s
(
F
i
g
ur
e
1
2
)
,
w
e ca
n
o
b
s
er
v
e t
h
at
en
er
g
y
co
n
s
u
m
p
t
i
o
n
h
a
s
r
ed
u
ced
b
y
a l
ar
g
e
m
a
r
g
i
n
.
W
it
h
H
P
S
la
m
p
s
,
to
ta
l e
n
e
r
g
y
c
o
n
s
u
m
p
tio
n
is
3
3
1
2
k
W
h
/
y
e
a
r
w
h
ile
w
it
h
L
E
D
p
a
n
e
ls
,
to
ta
l e
n
e
r
g
y
c
on
s
um
pt
i
o
n
i
s
1730 k
W
h
/
y
e
a
r
.
H
en
ce 1
5
8
2
k
W
h
o
f
en
er
g
y
can
b
e s
av
ed
ev
er
y
y
ear
.
T
h
u
s
b
y
r
ep
l
aci
n
g
t
h
e l
a
m
p
s
f
r
o
m
H
P
S
t
o
L
E
D
t
h
e
r
e
w
i
l
l
be
47.
77%
r
e
du
c
t
i
on
i
n
e
n
e
r
gy
c
ons
um
pt
i
o
n
a
nd
i
t
i
s
e
x
pe
c
t
e
d
t
o
s
a
v
e
m
or
e
e
n
e
r
gy
du
e
t
o
t
he
in
te
lli
g
e
n
c
e
s
y
s
te
m
a
d
o
p
te
d
.
H
o
w
e
v
e
r
,
it is
o
b
s
e
r
v
e
d
th
a
t t
h
e
lig
h
t i
n
te
n
s
it
y
is
le
s
s
f
o
r
L
E
D
p
a
n
e
ls
(
1
.
0
2
)
w
h
e
n
c
o
m
pa
r
e
d t
o H
P
S
l
a
m
ps
(
1.
22)
.
T
h
e
l
i
gh
t
i
s
m
o
r
e
u
ni
f
or
m
f
or
L
E
D
(
0.
89)
w
h
e
n
c
o
m
pa
r
e
d
t
o
H
P
S
(
0.
63)
w
h
i
l
e
t
h
e
g
l
a
r
e
i
s
l
e
s
s
e
r
f
or
L
E
D
(
6.
18)
i
n
c
om
pa
r
i
s
on
t
o H
P
S
(
11.
44)
.
W
h
e
n
c
o
m
p
a
r
in
g
th
e
s
i
m
u
la
ti
o
n
r
e
s
u
lts
f
o
r
L
in
k
R
o
a
d
u
s
i
n
g
tr
a
d
itio
n
a
l H
P
S
b
u
lb
s
(
Fi
g
u
re
1
4)
a
nd
L
E
D
p
an
el
s
(
Fi
g
ur
e
1
8
)
w
e c
an
o
b
s
er
v
e t
h
at
en
er
g
y
co
n
s
u
m
p
t
i
o
n
h
as
r
ed
u
ced
b
y
a l
ar
g
e
m
ar
g
i
n
.
H
P
S
b
u
l
b
s
n
eed
6
9
1
k
W
h
/
y
ear
w
h
i
l
e L
E
D
p
an
el
s
n
eed
4
0
5
k
W
h
/
y
ear
.
H
en
ce 6
9
1
k
W
h
o
f
en
er
g
y
ca
n
b
e s
av
ed
ev
er
y
y
ear
.
T
h
u
s
b
y
r
ep
l
aci
n
g
t
h
e l
a
m
p
s
f
r
o
m
H
P
S
t
o
L
E
D
t
h
e
r
e
w
i
l
l
be
41.
4%
r
e
du
c
t
i
o
n
i
n
e
n
e
r
gy
c
o
n
s
um
pt
i
on
a
n
d
i
t
i
s
e
x
pe
c
t
e
d t
o s
a
v
e
m
or
e
e
n
e
r
gy
du
e
t
o t
h
e
in
te
lli
g
e
n
c
e
s
y
s
te
m
a
d
o
p
te
d
.
T
h
e
l
i
gh
t
i
n
t
e
n
s
i
t
y
i
s
l
e
s
s
f
or
L
E
D
pa
n
e
l
s
(
0.
58)
w
h
e
n c
o
m
pa
r
e
d t
o H
P
S
bu
l
bs
(
0.
81)
.
T
h
e
l
i
gh
t
i
s
m
or
e
u
ni
f
or
m
f
or
L
E
D
(
0
.7
0
)
w
h
e
n
co
m
p
ar
ed
t
o
H
P
S
(
0
.
4
4
)
w
h
i
l
e t
h
e g
l
ar
e i
s
l
es
s
er
f
o
r
L
E
D
(
6.
24)
i
n
c
om
pa
r
i
s
o
n
t
o H
P
S
(
12.
3
4)
.
S
tr
e
e
t L
i
g
h
ts
a
r
e
i
m
p
o
r
ta
n
t
f
o
r
o
u
r
d
a
y
to
d
a
y
p
u
r
p
o
s
e
.
S
tr
e
e
t L
i
g
h
tin
g
S
y
s
te
m
F
o
r
S
m
a
r
t C
i
tie
s
U
s
in
g
M
ic
r
o
-
C
o
n
tr
o
lle
r
s
p
r
e
s
e
n
ts
w
a
y
s
to
i
m
p
r
o
v
e
th
e
ir
e
f
f
i
c
i
e
nc
y b
y
u
s
i
n
g
up
t
o
d
a
t
e
t
e
c
hno
l
o
g
y a
nd
r
e
d
uc
e
t
h
e
i
r
e
n
e
r
gy
c
ons
um
pt
i
o
n
.
U
s
i
n
g
t
h
e
pr
opos
e
d s
y
s
t
e
m
,
ov
e
r
47%
e
n
e
r
gy
c
a
n
be
s
a
v
e
d.
R
EF
ER
EN
C
ES
[
1]
G
u
n
a
b
a
la
n
,
R
.
(
2
0
1
6
)
.
O
v
e
r
v
ie
w
o
f
P
a
s
s
iv
e
L
ig
h
t E
m
ittin
g
D
i
o
d
e
D
r
iv
e
r
C
ir
c
u
its
f
o
r
S
tr
e
e
t
Lig
h
tin
g
.
[
o
n
lin
e
]
A
v
ai
l
ab
l
e at
:
h
t
t
p
:
/
/
j
o
u
r
n
al
.
p
o
r
t
al
g
ar
u
d
a.
o
r
g
/
[
A
cce
s
s
ed
1
5
D
ec.
2
0
1
6
]
.
[
2]
Z
hu,
J
.
a
nd
R
a
i
s
on
,
C
.
(
2
01
4)
.
C
os
t
E
f
f
e
c
t
i
v
e
A
ut
om
a
t
e
d S
t
r
e
e
t
L
i
g
ht
i
ng
C
o
n
t
r
o
l
.
[
o
n
l
i
n
e
]
I
aes
co
r
e.
co
m
.
A
v
ai
l
ab
l
e
a
t: h
tt
p
://ia
e
s
c
o
r
e
.
c
o
m
/jo
u
r
n
a
ls
/i
n
d
e
x
.
p
h
p
/I
J
EC
E/a
r
tic
le
/v
ie
w
/5
5
5
4
/4
8
6
8
[
A
c
c
e
s
s
e
d
3
M
a
r
.
2
0
1
7
]
.
[
3]
I
e
e
e
x
p
lo
r
e
.
ie
e
e
.
o
r
g
.
(
2
0
1
0
)
.
D
e
s
i
g
n
o
f
n
e
w
in
te
llig
e
n
t s
tr
e
e
t lig
h
t c
o
n
tr
o
l s
y
s
te
m
-
I
E
E
E
[
4]
I
eeex
p
l
o
r
e.
i
eee.
o
r
g
.
(
2
0
1
8
)
.
Io
T
-
b
as
ed
d
y
n
a
m
i
c s
t
r
eet
l
i
g
h
t
co
n
t
r
o
l
f
o
r
s
m
ar
t
ci
t
i
es
u
s
e c
as
es
-
I
E
E
E
C
o
n
f
er
en
ce
P
ubl
i
c
a
t
i
on
.
[
o
nl
i
ne
]
A
v
a
i
l
a
bl
e
a
t
:
ht
t
p:
/
/
i
e
e
e
x
pl
or
e
.
i
e
e
e
.
or
g
/
d
oc
um
e
nt
/
7
74
61
12/
[
A
c
c
e
s
s
e
d 11 D
e
c
.
201
6
]
.
Fi
g
ur
e
1
6
.
S
i
m
u
la
tio
n
R
e
s
u
lts
O
b
ta
in
e
d
f
o
r
L
E
D
P
a
n
e
l
s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SSN
:
25
02
-
4752
I
nd
o
ne
s
i
a
n J
E
l
e
c
E
ng
&
C
o
m
p
Sc
i
,
Vo
l
.
1
1
, N
o
.
2
,
A
ug
us
t
201
8
:
5
67
–
576
576
[
5]
I
eeex
p
l
o
r
e.
i
eee.
o
r
g
.
(
2
0
1
7
)
.
R
es
ear
ch
o
f
I
n
t
el
l
i
g
en
t
S
t
r
eet
L
i
g
h
t
S
y
s
t
e
m
B
as
ed
o
n
Z
i
g
B
ee
-
I
E
E
E
C
o
n
f
er
en
ce
P
ubl
i
c
a
t
i
on
.
[
o
nl
i
ne
]
A
v
a
i
l
a
bl
e
a
t
:
ht
t
p:
/
/
i
e
e
e
x
pl
or
e
.
i
e
e
e
.
or
g
/
d
oc
um
e
nt
/
7
82
35
35/
[
A
c
c
e
s
s
e
d 4 J
a
n.
2
0
17
]
.
[
6]
C
o
n
f
er
en
ce P
u
b
l
i
cat
i
o
n
.
[
o
n
l
i
n
e]
A
v
ai
l
ab
l
e at
:
h
t
t
p
:
/
/
i
eeex
p
l
o
r
e.
i
ee
e.
o
r
g
/
d
o
cu
m
en
t
/
5
5
2
4
3
4
8
/
r
ef
er
en
ces
[
A
cc
es
s
e
d 10
M
a
r
.
20
17]
.
[
7]
J
u
n
tu
n
e
n
E,
T
e
tr
i E,
T
a
p
a
n
in
e
n
O
,
Y
r
jä
n
ä
S
,
K
o
n
d
r
a
ty
e
v
V
,
S
i
t
o
m
a
n
ie
m
i
A
,
S
iir
to
la
H
,
S
a
r
ja
n
o
ja
EM
,
A
ik
io
J
,
H
e
i
k
k
i
ne
n V
.
A
s
m
a
r
t
L
E
D
l
um
i
na
i
r
e
f
or
e
ne
r
gy
s
a
v
i
ng
s
i
n pe
de
s
t
r
i
a
n r
oa
d l
i
g
ht
i
ng
.
L
i
g
ht
i
ng
R
e
s
e
a
r
c
h
&
T
e
c
hnol
og
y
.
2013;
4
7(
1)
:
1
03
-
11
5.
[
8]
K
o
s
tic
A
M
,
K
r
e
m
ic
M
M
,
D
jo
k
ic
L
S
,
K
o
s
tic
M
B
.
L
ig
h
t
-
e
m
ittin
g
d
i
o
d
e
s
in
s
tr
e
e
t a
n
d
r
o
a
d
w
a
y
lig
h
tin
g
–
a cas
e s
t
u
d
y
i
nv
ol
v
i
ng
m
e
s
opi
c
e
f
f
e
c
t
s
.
L
i
g
ht
i
ng
R
e
s
e
a
r
c
h &
T
e
c
hnol
og
y
.
201
2
;
45(
2)
:
21
7
-
22
9.
[
9]
E
l
e
j
os
t
e
P
,
A
ng
ul
o I
,
P
e
r
a
l
l
os
A
,
C
he
r
t
udi
A
,
Z
ua
z
ol
a
I
J
G
,
M
or
e
no
A
,
A
z
pi
l
i
c
ue
t
a
L
,
A
s
t
r
a
i
n J
J
,
F
a
l
c
one
F
,
V
i
l
l
a
da
ng
os
J
.
A
n e
a
s
y
t
o de
pl
oy
s
t
r
e
e
t
l
i
g
ht
c
o
nt
r
ol
s
y
s
t
e
m
ba
s
e
d on w
i
r
e
l
e
s
s
c
om
m
uni
c
a
t
i
on a
n
d
L
E
D
t
e
c
hnol
og
y
.
S
e
ns
or
s
.
20
13;
1
3(
5)
:
64
92
-
6
52
3.
[
1
0]
V
ee
n
a
P
C
,
T
h
ar
ak
an
P
,
H
ar
i
d
as
H
,
R
am
y
a K
,
J
o
j
u
R
,
J
y
o
t
h
i
s
T
S
.
S
m
ar
t
s
t
r
e
et
l
i
g
h
t
s
y
s
t
e
m
b
as
ed
o
n
i
m
ag
e
pr
oc
e
s
s
i
ng
.
2
01
6 I
n
t
e
r
na
t
i
o
na
l
C
onf
e
r
e
nc
e
on C
i
r
c
ui
t
,
P
ow
e
r
a
nd C
om
put
i
ng
T
e
c
hnol
og
y
(
I
C
C
P
C
T
)
.
N
a
ge
r
c
oi
l
.
201
6:
1
-
5.
[
1
1]
S
at
r
y
a
G
B
,
R
ed
a H
T
,
W
o
o
K
J
,
D
ael
y
P
T
,
S
hi
n S
Y
,
C
ha
e
S
.
I
oT
a
nd pu
bl
i
c
w
e
a
t
he
r
da
t
a
ba
s
e
d
m
oni
t
or
i
ng
&
c
ont
r
ol
s
o
f
t
w
ar
e d
ev
el
o
p
m
en
t
f
o
r
v
ar
i
ab
l
e co
l
o
r
t
em
p
er
at
u
r
e L
E
D
s
t
r
eet
l
i
g
h
t
s
.
I
n
t
er
n
at
i
o
n
al
J
o
u
r
n
al
o
n
A
d
v
an
ced
S
ci
en
ce,
E
ng
i
ne
e
r
i
ng
a
nd
I
nf
or
m
a
t
i
on T
e
c
hno
l
og
y
.
201
7;
7(
2)
:
36
6
-
37
2.
[
1
2]
L
e
v
y J
.
I
n
t
e
l
l
i
g
e
nt
ou
t
d
oor
l
i
g
ht
i
n
g
c
ont
r
ol
s
y
s
t
e
m
.
620
46
15(
P
a
t
e
nt
)
.
2
00
1.
[
1
3]
W
B
udi
ha
r
t
o,
A
S
a
nt
os
o,
D
P
ur
w
a
nt
o,
A
J
a
z
i
di
e
.
M
ul
t
i
pl
e
m
ov
i
ng
obs
t
a
c
l
e
s
a
v
oi
da
nc
e
of
s
e
r
v
i
c
e
r
obot
us
i
ng
s
t
e
r
e
o
v
i
s
i
on.
T
E
L
K
O
M
N
I
K
A
(
T
e
l
e
c
o
m
m
uni
c
a
t
i
on,
C
om
put
i
ng
,
E
l
e
c
t
r
oni
c
s
a
n
d C
o
nt
r
ol
)
.
2
0
11;
9(
3)
:
4
33
-
44
4.
[
1
4]
G
m
bH
D
.
B
e
t
t
e
r
a
r
c
hi
t
e
c
t
ur
e
t
hr
oug
h l
i
g
ht
a
nd a
ut
om
a
t
i
on
–
D
I
A
L
[
I
n
t
er
n
et
]
.
A
v
ai
l
ab
l
e
f
r
o
m
:
h
ttp
s
:/
/w
w
w
.
d
ia
l.
d
e
/e
n
/h
o
m
e
/
Evaluation Warning : The document was created with Spire.PDF for Python.