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p
r
o
m
p
t
th
e
air
p
o
llu
tio
n
in
d
ex
f
r
o
m
g
o
o
d
to
b
ad
d
r
asti
ca
lly
.
I
t
w
ill
ev
e
n
t
u
all
y
d
is
r
u
p
t
th
e
h
u
m
a
n
r
esp
ir
ato
r
y
p
r
o
ce
s
s
es
an
d
af
f
e
ct
o
u
r
h
ea
l
th
co
n
d
itio
n
as
t
h
e
b
ad
g
ases
ar
e
ab
s
o
r
b
ed
to
th
e
lu
n
g
a
n
d
s
p
r
ea
d
to
o
th
er
p
a
r
ts
o
f
th
e
b
o
d
y
.
Fin
al
l
y
,
g
ar
b
ag
e
ca
n
co
n
ta
m
i
n
ate
s
u
r
f
ac
e
w
ater
s
,
w
h
ic
h
ca
n
a
f
f
ec
t
all
ec
o
s
y
s
te
m
s
.
T
h
er
e
ar
e
t
w
o
t
y
p
es
o
f
m
a
n
a
g
in
g
m
u
n
icip
al
s
o
lid
w
aste
i
n
Ma
la
y
s
ia.
Fi
r
s
t
is
t
h
e
m
an
a
g
e
m
e
n
t
o
f
w
a
s
te
as a
w
h
o
le,
w
h
er
eb
y
th
e
f
u
tu
r
e
a
m
o
u
n
t o
f
w
aste
g
en
er
ated
is
n
ee
d
ed
in
o
r
d
er
to
p
lan
f
o
r
th
e
la
n
d
f
i
ll a
n
d
s
ec
o
n
d
is
t
h
e
m
a
n
ag
e
m
e
n
t
o
f
w
aste
co
llec
tio
n
at
h
o
u
s
e
h
o
ld
ar
ea
to
av
o
id
p
u
b
l
ic
b
in
‟
s
o
v
er
f
lo
w
.
C
u
r
r
en
tl
y
,
MSW
M
i
n
Ma
la
y
s
i
a
d
o
n
o
t h
a
v
e
t
h
e
e
x
ac
t
s
tati
s
ti
c
o
f
h
o
w
m
u
c
h
w
a
s
te
i
s
g
en
er
ated
an
d
h
o
w
m
a
n
y
ti
m
e
s
t
h
e
w
a
s
te
b
i
n
s
g
et
f
u
ll
p
er
d
ay
.
W
it
h
o
u
t
th
e
s
e
s
tati
s
ti
cs,
it
i
s
v
er
y
h
ar
d
f
o
r
th
e
g
o
v
er
n
m
e
n
t
to
p
r
o
v
id
e
a
m
p
le
s
p
ac
es o
f
t
h
e
co
m
p
o
s
t s
ites
an
d
to
p
lan
f
o
r
t
h
e
g
ar
b
ag
e
p
ic
k
-
u
p
s
ch
ed
u
le
f
o
r
th
e
f
u
t
u
r
e.
On
t
h
e
o
t
h
er
h
an
d
,
m
ai
n
tai
n
i
n
g
cu
r
r
en
t
w
a
y
o
f
c
u
r
b
s
id
e
co
llectio
n
f
o
r
d
if
f
er
en
t
h
o
u
s
e
h
o
ld
s
ize
w
o
u
ld
b
e
v
er
y
in
e
f
f
icie
n
t
[
5
]
.
T
h
e
w
aste
co
llecto
r
cr
e
w
s
ar
e
o
n
l
y
f
o
llo
w
i
n
g
t
h
eir
o
w
n
s
ch
ed
u
le
to
co
llect
t
h
e
g
ar
b
ag
e
at
th
e
r
esp
ec
ted
s
c
h
ed
u
led
ar
ea
.
U
n
f
o
r
tu
n
atel
y
,
th
i
s
w
i
ll
ca
u
s
e
in
e
f
f
icie
n
c
y
i
n
ter
m
o
f
f
u
e
l
co
n
s
u
m
p
tio
n
an
d
ti
m
e
m
an
a
g
e
m
en
t.
So
m
et
i
m
e
s
,
d
u
e
to
th
e
s
ch
ed
u
led
co
llectio
n
r
o
u
ti
n
e,
th
e
b
in
s
ca
n
g
et
o
v
er
f
lo
w
w
a
y
b
ef
o
r
e
th
e
co
lle
ctio
n
ti
m
e.
T
h
is
w
ill
f
u
r
t
h
er
ca
u
s
e
d
is
ea
s
e
s
in
cl
u
d
i
n
g
t
y
p
h
o
id
f
ev
er
,
d
en
g
u
e
an
d
o
th
er
m
aj
o
r
illn
ess
e
s
.
T
h
er
ef
o
r
e,
it
is
v
er
y
i
m
p
o
r
tan
t
to
p
r
ed
ict
t
h
e
a
m
o
u
n
t
o
f
w
a
s
te
g
e
n
er
ated
to
ea
s
e
th
e
p
r
o
ce
s
s
in
m
an
a
g
i
n
g
f
u
tu
r
e
MSW
M.
R
e
ce
n
tl
y
,
t
h
er
e
ar
e
m
a
n
y
r
esear
c
h
es
o
n
f
o
r
ec
asti
n
g
th
e
SW
G
b
ased
o
n
p
r
e
d
icti
o
n
m
o
d
el
s
[6
]
-
[
8
]
.
P
r
ed
ictio
n
m
o
d
els
ca
n
g
i
v
e
in
f
o
r
m
at
io
n
ab
o
u
t
th
e
f
u
tu
r
e
SW
G
b
ased
o
n
m
an
y
p
er
f
o
r
m
a
n
ce
‟
s
cr
iter
io
n
s
u
c
h
as M
ea
n
Sq
u
ar
e
E
r
r
o
r
(
MSE
)
,
Me
an
A
b
s
o
lu
te
P
er
ce
n
tag
e
E
r
r
o
r
(
MA
P
E
)
an
d
R
².
T
h
er
e
ar
e
f
e
w
r
esear
ch
e
s
th
a
t
h
av
e
b
ee
n
co
n
d
u
cted
to
p
r
ed
ict
f
u
t
u
r
e
esti
m
atio
n
b
ased
o
n
A
N
N
[
9
]
-
[
1
1
]
.
A
s
tu
d
y
b
y
S
u
n
&
C
h
u
n
g
p
aib
u
lp
atan
a
u
s
ed
M
L
P
u
n
d
er
A
N
N
m
o
d
el
an
d
P
ea
r
s
o
n
C
o
r
r
elatio
n
to
p
r
ed
ict
SW
G
in
B
an
g
k
o
k
[
1
2
]
.
A
t
th
e
b
eg
i
n
n
i
n
g
o
f
th
e
r
esear
ch
,
f
e
w
m
o
d
ellin
g
tec
h
n
iq
u
e
s
h
a
v
e
b
ee
n
ex
p
lo
r
ed
b
ased
o
n
f
e
w
i
n
f
lu
en
ce
s
s
u
c
h
as
p
o
p
u
lat
io
n
g
r
o
w
t
h
a
n
d
h
o
u
s
e
h
o
ld
in
co
m
e.
A
l
s
o
,
in
ter
p
o
latio
n
tech
n
iq
u
e
h
a
s
b
ee
n
ap
p
lied
d
u
r
in
g
d
ata
co
llectio
n
s
ta
g
e
d
u
e
to
s
o
m
e
m
is
s
in
g
v
a
lu
e
s
.
Neu
r
al
f
itt
in
g
to
o
l
h
as
b
ee
n
u
s
ed
to
s
e
lect,
cr
ea
te
an
d
tr
ain
d
ata
o
f
th
e
n
et
w
o
r
k
b
ased
o
n
MSE
an
d
r
eg
r
ess
io
n
an
al
y
s
is
.
Fo
r
M
L
P
,
o
n
e
n
e
u
r
o
n
h
id
d
en
la
y
er
h
as
b
ee
n
ap
p
lied
th
at
r
esu
lts
i
n
t
h
e
ac
ce
p
tab
le
f
itti
n
g
v
al
u
e
R
²
o
f
0
.
9
6
.
Du
r
in
g
t
h
e
ev
alu
a
tio
n
s
tag
e,
t
h
e
p
er
f
o
r
m
an
ce
f
o
r
b
o
th
tech
n
iq
u
es
h
a
s
b
ee
n
co
m
p
ar
ed
.
T
h
e
r
esu
lts
m
an
a
g
ed
to
illu
s
tr
ate
th
at
ANN
m
o
d
el
is
m
u
c
h
m
o
r
e
ac
c
u
r
ate
co
m
p
ar
ed
to
P
r
in
cip
al
C
o
m
p
o
n
en
t
An
al
y
s
i
s
-
R
e
g
r
ess
io
n
(
P
C
A
-
R
e
g
r
ess
io
n
)
b
y
1
0
%
b
ased
o
n
R
²
v
al
u
e.
Ho
w
ev
er
,
t
h
e
v
alu
e
s
o
f
MSE
f
o
r
b
o
th
P
C
A
-
R
eg
r
es
s
io
n
a
n
d
A
N
N
m
o
d
el
w
er
e
v
e
r
y
h
i
g
h
wh
ich
ar
e
2
2
1
8
0
5
.
2
an
d
6
3
9
2
9
r
esp
ec
tiv
el
y
.
A
cc
o
r
d
in
g
to
a
r
esear
ch
,
t
h
e
d
ata
r
eg
ar
d
in
g
g
ar
b
ag
e
le
v
els ar
e
v
er
y
u
s
e
f
u
l to
p
r
o
v
id
e
o
p
tim
ized
r
o
u
te
f
o
r
th
e
w
aste
co
llecto
r
[
1
3
]
.
T
h
is
d
ata
ca
n
u
lti
m
atel
y
h
el
p
in
r
ed
u
cin
g
t
h
e
co
s
t
ass
o
ci
ated
w
it
h
th
e
f
u
e
l
co
n
s
u
m
p
tio
n
u
s
ed
b
y
tr
u
c
k
.
T
h
e
lo
n
g
er
t
h
e
r
o
u
te
ta
k
en
b
y
t
h
e
tr
u
ck
‟
s
d
r
iv
er
m
o
r
e
f
u
el
ar
e
u
s
ed
.
O
n
to
p
o
f
th
at,
Ma
h
aj
an
et
al.
s
aid
th
a
t if
th
e
w
as
te
co
llecto
r
k
ee
p
s
atte
n
d
in
g
to
th
e
g
ar
b
ag
e
b
i
n
ev
e
n
th
o
u
g
h
it is
n
o
t
f
u
l
l
y
et,
it
w
ill
also
p
r
o
v
id
e
a
w
a
s
t
e
o
f
t
i
m
e
an
d
in
e
f
f
icie
n
t
w
o
r
k
in
g
h
o
u
r
s
.
T
h
e
r
e
s
ea
r
ch
al
s
o
m
en
tio
n
ed
ab
o
u
t
t
h
e
i
m
p
o
r
tan
ce
o
f
d
etec
ti
n
g
t
h
e
m
o
is
tu
r
e
i
n
s
id
e
th
e
b
in
s
.
T
h
e
m
o
is
tu
r
e
s
en
s
o
r
s
h
av
e
b
ee
n
u
s
e
d
to
p
r
o
v
id
e
d
ata
o
f
w
a
s
te
s
e
g
r
eg
a
tio
n
i
n
s
id
e
th
e
b
in
.
T
h
is
s
tu
d
y
u
s
ed
t
h
r
ee
t
y
p
e
s
o
f
s
e
n
s
o
r
s
w
h
ich
ar
e;
th
e
lev
el
s
en
s
o
r
,
h
u
m
id
it
y
s
en
s
o
r
an
d
th
e
lo
ad
ce
ll
to
d
e
tect
th
e
w
a
s
te
lev
e
l,
m
o
is
t
u
r
e
s
tate
an
d
th
e
w
ei
g
h
t
o
f
th
e
waste.
T
h
ese
s
en
s
o
r
s
h
av
e
b
ee
n
i
n
te
g
r
ated
b
y
a
m
i
cr
o
co
n
tr
o
ller
n
a
m
ed
R
a
s
p
b
er
r
y
-
p
i
3
.
Ho
w
e
v
er
,
th
i
s
s
tu
d
y
d
id
n
‟
t
p
r
o
v
id
e
d
at
a
s
to
r
ag
e.
T
h
u
s
,
d
ata
s
u
c
h
as
waste
lev
el
a
n
d
w
ei
g
h
t
o
f
w
ast
e
co
llected
ar
e
n
o
t
s
to
r
ed
.
T
h
is
m
a
k
e
th
i
s
p
r
o
j
ec
t
in
s
i
g
n
i
f
ican
t
b
ec
au
s
e
th
e
s
e
i
m
p
o
r
tan
t
d
ata
ar
e
m
i
s
s
i
n
g
.
W
ith
o
u
t
th
ese
d
ata,
f
u
tu
r
e
a
m
o
u
n
t
o
f
w
a
s
te
g
e
n
er
ated
ca
n
‟
t b
e
esti
m
a
ted
.
T
h
e
m
ain
o
b
j
ec
t
iv
e
o
f
t
h
is
r
es
ea
r
ch
is
to
d
es
ig
n
s
m
ar
t
w
a
s
te
b
in
an
d
to
d
es
ig
n
a
n
e
f
f
ic
ien
t
p
r
ed
ictio
n
alg
o
r
ith
m
f
o
r
w
aste
m
a
n
a
g
e
m
en
t
to
p
r
ed
ict
th
e
g
e
n
er
atio
n
o
f
w
a
s
te
b
ased
o
n
h
o
u
s
e
h
o
ld
s
i
ze
in
K
u
ll
i
y
y
a
h
o
f
E
n
g
i
n
ee
r
i
n
g
in
I
n
ter
n
atio
n
al
I
s
la
m
ic
U
n
i
v
er
s
it
y
Ma
la
y
s
ia.
T
h
e
r
em
a
in
i
n
g
s
ec
tio
n
o
f
t
h
i
s
p
ap
er
co
m
p
r
is
e
s
o
f
f
e
w
m
ai
n
p
ar
ts
.
Sectio
n
2
w
i
ll
b
e
ex
p
lain
in
g
ab
o
u
t
t
h
e
s
m
ar
t
w
as
te
b
in
w
h
ile
s
ec
tio
n
3
w
ill
la
y
o
u
t
d
ata
ac
q
u
is
itio
n
p
r
o
ce
s
s
.
I
n
Sec
tio
n
4
,
p
r
e
-
p
r
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s
s
i
n
g
s
tag
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s
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Sectio
n
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w
i
ll
ex
p
lain
ab
o
u
t
th
e
e
v
alu
a
tio
n
w
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ile
Sectio
n
6
la
y
s
o
u
t
t
h
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r
esu
lt
s
an
d
an
al
y
s
i
s
o
f
th
e
ex
p
er
i
m
e
n
tatio
n
.
As a
co
n
clu
s
io
n
,
t
h
e
last
s
ec
ti
o
n
w
ill co
n
cl
u
d
e
th
e
p
ap
er
.
Evaluation Warning : The document was created with Spire.PDF for Python.
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2.
SM
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B
I
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T
h
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s
ec
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d
i
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s
s
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o
u
t
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et
h
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s
u
s
ed
t
o
d
esi
g
n
th
e
s
m
ar
t
w
a
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te
b
i
n
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n
th
is
s
ec
tio
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,
th
er
e
w
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e
th
r
ee
s
u
b
s
ec
tio
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s
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s
m
ar
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in
o
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er
v
ie
w
,
s
o
f
t
w
ar
e
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ar
t
an
d
h
ar
d
w
ar
e
p
ar
t.
Su
b
s
ec
tio
n
2
.
1
w
ill
ex
p
lai
n
o
n
h
o
w
t
h
e
s
m
ar
t
w
aste
b
in
is
w
o
r
k
i
n
g
.
W
h
i
ls
t,
Su
b
s
ec
tio
n
2
.
2
an
d
Su
b
s
ec
t
io
n
2
.
3
d
escr
ib
e
s
th
e
s
o
f
t
w
ar
e
an
d
h
ar
d
w
ar
e
co
n
f
i
g
u
r
atio
n
o
f
t
h
e
s
m
ar
t
w
as
te
b
in
r
esp
ec
ti
v
el
y
.
2
.
1
.
S
m
a
rt
Wa
s
t
e
B
in O
v
er
v
iew
T
h
e
p
r
o
to
ty
p
e‟
s
d
esi
g
n
o
f
t
h
e
w
a
s
te
b
in
in
v
o
lv
e
s
b
o
th
s
o
f
t
w
ar
e
a
n
d
h
ar
d
w
ar
e
p
ar
t.
Fu
r
t
h
er
d
etails
ab
o
u
t
th
e
s
o
f
t
w
ar
e
an
d
h
ar
d
w
ar
e
to
d
esig
n
th
is
s
m
ar
t
w
a
s
te
b
in
w
ill
b
e
d
is
cu
s
s
ed
in
Su
b
s
ec
tio
n
2
.
2
an
d
Su
b
s
ec
tio
n
2
.
3
r
esp
ec
tiv
el
y
.
On
t
h
e
o
t
h
er
h
a
n
d
,
t
h
e
f
lo
wch
ar
t
o
f
th
e
s
y
s
te
m
o
p
er
atio
n
i
s
laid
o
u
t
as
in
Fig
u
r
e
1
.
I
n
it
iall
y
,
w
h
e
n
th
e
p
r
o
j
ec
t in
s
talled
a
n
d
p
o
w
er
ed
o
n
th
e
s
y
s
te
m
,
t
h
e
G
SM
m
o
d
u
le
w
il
l b
e
i
n
itialized
.
I
t is i
m
p
o
r
tan
t to
m
a
k
e
s
u
r
e
t
h
at
th
e
G
SM
h
a
s
b
ee
n
i
n
it
ialize
d
as if
it
is
n
o
t,
th
e
s
y
s
te
m
w
o
u
l
d
n
o
t a
b
le
to
s
e
n
d
n
o
tific
atio
n
to
t
h
e
w
a
s
te
co
lle
cto
r
cr
e
w
s
later
.
T
h
en
,
th
e
s
e
n
s
o
r
s
b
u
ilt
i
n
t
h
e
s
y
s
te
m
w
i
ll
m
ea
s
u
r
e
t
h
e
ac
q
u
ir
ed
d
ata;
lev
el
a
n
d
w
e
ig
h
t
o
f
th
e
w
a
s
te.
T
h
is
i
n
f
o
r
m
atio
n
w
i
ll
b
e
s
en
t
to
SD
ca
r
d
an
d
w
i
ll
b
e
d
is
p
lay
ed
at
t
h
e
L
C
D.
I
f
t
h
e
le
v
el
h
as e
x
ce
ed
e
d
9
0
p
er
ce
n
t o
f
th
e
ca
p
ac
it
y
o
f
th
e
b
in
,
a
n
o
ti
f
icatio
n
i
n
th
e
f
o
r
m
o
f
SM
S
w
ill b
e
s
en
t
to
th
e
w
aste
co
llecto
r
cr
e
w
s
to
n
o
ti
f
y
f
o
r
th
e
p
ic
k
u
p
ti
m
e.
O
n
t
h
e
o
th
er
h
a
n
d
,
an
al
g
o
r
ith
m
h
a
s
also
b
ee
n
d
ev
elo
p
ed
to
p
u
s
h
t
h
e
L
C
D
d
is
p
la
y
to
d
is
p
la
y
“
C
o
ll
ec
tio
n
ti
m
e
!
Do
n
o
t
p
u
t
a
n
y
w
aste”
w
h
e
n
th
e
lev
el
h
a
s
ex
ce
ed
ed
9
0
p
er
ce
n
t
o
f
t
h
e
ca
p
ac
it
y
.
So
,
t
h
e
p
ass
er
b
y
k
n
o
ws
t
h
at
n
o
m
o
r
e
w
a
s
te
ca
n
b
e
p
u
t
i
n
to
t
h
e
b
i
n
a
n
d
th
at
t
h
e
b
in
h
a
s
ex
ce
ed
ed
th
e
c
ap
ac
it
y
o
f
t
h
e
w
aste t
h
at
ca
n
b
e
p
u
t in
to
it.
T
h
is
is
to
p
r
ev
en
t
litt
er
in
g
to
o
cc
u
r
.
Fig
u
r
e
1
.
S
y
s
te
m
o
p
er
atio
n
‟
s
f
lo
w
c
h
ar
t
2
.
2
.
So
f
t
wa
re
P
a
rt
Fo
r
th
e
s
o
f
t
w
ar
e
p
ar
t,
th
e
p
r
o
j
ec
t
u
s
es
S
u
b
li
m
e
T
ex
t
3
f
o
r
co
d
e‟
s
ed
itin
g
;
s
h
o
w
n
i
n
Fig
u
r
e
2
,
A
r
d
u
i
n
o
I
n
te
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ated
Dev
elo
p
m
en
t
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n
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ir
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n
m
en
t
(
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f
o
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ild
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co
m
p
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in
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to
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r
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ME
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co
n
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s
h
o
w
n
i
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F
ig
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3
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Fritzi
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i
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etch
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atic
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p
r
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to
t
y
p
e;
s
h
o
w
n
i
n
Fig
u
r
e
4
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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d
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4
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Fritzin
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f
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p
r
o
j
ec
t h
as d
iv
id
ed
th
e
s
o
f
t
w
ar
e
‟
s
p
s
e
u
d
o
co
d
e
in
to
f
iv
e
p
ar
ts
.
T
h
ese
f
iv
e
p
ar
ts
ar
e;
a.
P
in
s
d
ef
i
n
e
an
d
s
et
u
p
o
f
lib
r
ar
y
b.
L
C
D
co
n
f
ig
u
r
atio
n
,
lo
ad
ce
ll s
ca
le
s
etu
p
,
SD c
ar
d
in
itia
lizati
o
n
c.
Gen
er
al
s
et
u
p
d.
C
alcu
latio
n
o
f
s
en
s
o
r
‟
s
f
o
r
m
u
l
a
an
d
g
etti
n
g
i
n
f
o
r
m
atio
n
e.
SD sto
r
in
g
an
d
GS
M
co
n
f
ig
u
r
atio
n
I
n
th
e
f
ir
s
t
p
ar
t;
p
in
s
d
ef
in
e
a
n
d
s
etu
p
o
f
lib
r
ar
y
,
s
elec
ted
p
in
s
u
s
ed
in
A
r
d
u
in
o
ME
G
A
h
av
e
b
ee
n
d
ef
in
ed
.
A
l
s
o
,
lib
r
ar
y
u
s
ed
s
u
ch
as
“
So
f
t
w
ar
eSer
ial.
h
”
an
d
“L
iq
u
id
C
r
y
s
tal.
h
”
ar
e
ca
lled
.
W
h
ils
t,
d
u
r
in
g
t
h
e
s
ec
o
n
d
p
ar
t,
th
e
p
in
s
u
s
ed
f
o
r
L
C
D
is
h
i
g
h
l
ig
h
ted
.
A
ls
o
,
a
ca
lib
r
atio
n
f
ac
to
r
f
o
r
th
e
lo
ad
ce
ll
is
s
et
f
r
o
m
s
ev
er
al
s
et
s
o
f
tr
ials
a
n
d
er
r
o
r
s
.
On
to
p
o
f
th
at,
a
f
ile
n
a
m
el
y
“m
y
Fi
le”
is
cr
ea
ted
to
en
ab
le
to
s
to
r
e
th
e
in
f
o
r
m
atio
n
r
eg
ar
d
in
g
t
h
e
w
a
s
te
w
ei
g
h
t
an
d
le
v
el.
P
ar
t
th
r
ee
is
w
h
er
e
m
o
s
t
o
f
t
h
e
s
et
u
p
is
d
o
n
e.
T
w
o
m
o
s
t
i
m
p
o
r
tan
t
f
ea
tu
r
e
s
in
p
ar
t
th
r
ee
‟
s
al
g
o
r
ith
m
ar
e
th
e
i
n
itia
li
za
tio
n
o
f
t
h
e
SD
ca
r
d
an
d
GSM.
I
n
itializi
n
g
t
h
e
GSM
is
v
er
y
i
m
p
o
r
tan
t a
s
it i
s
to
m
a
k
e
s
u
r
e
t
h
at
t
h
e
n
et
w
o
r
k
is
co
n
n
ec
ted
a
n
d
th
at
th
e
n
o
ti
f
icatio
n
ca
n
b
e
s
e
n
t
to
th
e
w
a
s
te
co
llecto
r
cr
e
w
s
la
ter
o
n
.
Mo
v
in
g
o
n
to
p
ar
t
f
o
u
r
,
th
is
p
ar
t
is
w
h
er
e
th
e
s
y
s
te
m
co
llec
t
th
e
d
ata
f
r
o
m
th
e
w
as
te
b
in
.
W
ith
th
e
u
s
e
o
f
R
ea
l
-
T
i
m
e
C
lo
c
k
,
th
i
s
b
in
is
ab
le
to
p
r
o
v
id
e
p
r
ec
is
e
d
ata
at
th
e
p
r
ec
is
e
ti
m
e
s
o
th
e
d
ata
ca
n
b
e
v
er
y
u
s
e
f
u
l
to
b
e
an
aly
ze
d
later
o
n
.
A
ls
o
in
t
h
is
p
ar
t,
th
e
ca
lcu
lati
o
n
f
o
r
th
e
lev
el
s
e
n
s
o
r
is
m
ad
e.
T
h
e
lev
el
s
en
s
o
r
u
s
ed
i
n
th
i
s
p
r
o
j
ec
t
w
a
s
t
h
e
Ul
tr
aso
n
ic
Sen
s
o
r
(
m
o
d
el:
H
C
-
S
R
0
4
)
.
T
h
e
alg
o
r
ith
m
f
o
r
t
h
e
c
alcu
latio
n
i
s
s
h
o
w
n
in
E
q
u
atio
n
1
.
(
1
)
W
h
er
e,
„
d
is
ta
n
ce
‟
i
s
th
e
lev
el
o
f
w
a
s
te
f
illed
i
n
th
e
w
a
s
te
b
i
n
an
d
„
d
u
r
atio
n
‟
is
t
h
e
ti
m
e
ta
k
en
f
o
r
th
e
ec
h
o
p
u
ls
e
to
g
o
b
ac
k
an
d
f
o
r
th
f
r
o
m
t
h
e
m
o
u
t
h
o
f
t
h
e
b
in
an
d
to
p
o
f
th
e
w
a
s
te
in
s
i
d
e
th
e
b
in
.
Fin
all
y
,
th
e
las
t
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4752
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
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Vo
l.
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,
No
.
2
,
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er
2
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p
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ay
ed
th
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a
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it
h
m
o
f
h
o
w
t
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e
i
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r
m
atio
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is
s
to
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ed
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e
SD
ca
r
d
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A
l
s
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t
h
i
s
s
tep
,
a
n
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S
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b
e
s
en
t to
th
e
w
as
te
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llecto
r
cr
e
w
s
i
f
t
h
e
b
in
h
as r
ea
ch
ed
t
h
e
m
ax
i
m
u
m
ca
p
ac
it
y
.
2
.
3
.
H
a
rdw
a
re
P
a
rt
T
h
e
f
in
al
p
r
o
to
ty
p
e
‟
s
b
r
ea
d
b
o
ar
d
an
d
s
ch
e
m
atic
d
iag
r
a
m
ar
e
s
h
o
w
n
i
n
Fi
g
u
r
e
5
a
n
d
Fig
u
r
e
6
r
esp
ec
tiv
el
y
.
As
f
o
r
th
e
h
ar
d
w
ar
e
p
ar
t
s
h
o
w
n
i
n
Fi
g
u
r
e
5
,
A
r
d
u
i
n
o
ME
G
A
,
u
l
tr
aso
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ic
s
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n
s
o
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m
o
d
u
le,
lo
ad
ce
ll
a
m
p
li
f
ier
,
s
i
m
8
0
0
L
GSM
m
o
d
u
le,
m
e
m
o
r
y
ca
r
d
,
SD
ca
r
d
m
o
d
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liq
u
id
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tal
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p
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(
L
C
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f
o
u
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li
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h
t
-
e
m
i
tti
n
g
d
io
d
e
(
L
E
D)
an
d
r
ea
l
-
ti
m
e
clo
c
k
eq
u
ip
p
ed
w
it
h
te
m
p
er
atu
r
e
s
e
n
s
o
r
ar
e
u
s
ed
.
A
s
s
h
o
w
n
i
n
Fig
u
r
e
5
an
d
Fi
g
u
r
e
6
,
th
e
m
i
cr
o
co
n
tr
o
ller
u
s
ed
in
t
h
i
s
p
r
o
ject
w
a
s
A
r
d
u
i
n
o
ME
G
A
2
5
6
0
.
A
r
d
u
i
n
o
ME
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A
2
5
6
0
h
as
7
2
p
in
s
alto
g
eth
er
.
I
n
t
h
is
p
r
o
j
ec
t,
n
o
t
all
p
in
s
in
A
r
d
u
in
o
ME
G
A
w
ill
b
e
u
s
ed
.
I
n
g
en
er
al,
th
er
e
w
er
e
s
ev
e
n
co
m
p
o
n
en
ts
w
h
ic
h
h
av
e
b
ee
n
co
n
n
ec
ted
to
th
e
A
r
d
u
i
n
o
ME
G
A
.
Ho
w
e
v
e
r
,
f
o
r
L
C
D,
n
o
t
al
l
p
in
s
ar
e
n
ee
d
ed
to
b
e
u
s
ed
.
Hen
ce
,
th
e
s
e
p
in
s
w
i
ll n
o
t b
e
co
n
n
ec
ted
to
th
e
A
r
d
u
i
n
o
ME
G
A.
T
h
e
g
en
er
al
w
o
r
k
in
g
s
y
s
te
m
d
esig
n
s
h
o
w
n
i
n
Fi
g
u
r
e
7
illu
s
tr
ates
th
at
t
h
er
e
ar
e
th
r
ee
b
in
s
i
n
s
tal
led
in
th
e
KOE
‟
s
b
u
ild
in
g
an
d
ea
c
h
b
in
h
as
d
i
f
f
er
en
t
s
i
m
ca
r
d
s
o
f
d
if
f
er
en
t
r
eg
is
ter
ed
n
u
m
b
e
r
s
.
T
h
e
r
ea
s
o
n
w
h
y
d
if
f
er
e
n
t
b
i
n
s
h
av
e
d
if
f
er
en
t
r
eg
is
ter
ed
m
o
b
il
e
n
u
m
b
er
i
s
b
ec
au
s
e
ea
c
h
b
in
w
ill
s
e
n
d
its
lo
ca
tio
n
an
d
b
i
n
‟
s
s
tatu
s
u
p
d
ate
to
th
e
w
a
s
te
co
ll
ec
to
r
cr
ew
s
.
Fig
u
r
e
5
.
P
r
o
t
o
ty
p
e
‟
s
b
r
ea
d
b
o
ar
d
d
iag
r
am
Fig
u
r
e
6
.
P
r
o
t
o
ty
p
e
‟
s
s
c
h
e
m
ati
c
d
iag
r
a
m
Fig
u
r
e
7
.
W
o
r
k
in
g
s
y
s
te
m
‟
s
d
esig
n
f
o
r
3
d
if
f
er
en
t b
in
s
at
3
d
if
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t lo
ca
tio
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E
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s
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i
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g
Evaluation Warning : The document was created with Spire.PDF for Python.
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753
3.
DATA AC
Q
U
I
S
I
T
I
O
N
T
h
e
d
ata
f
o
r
h
o
u
s
eh
o
ld
s
ize
an
d
th
e
a
m
o
u
n
t
o
f
w
a
s
te
g
en
er
ated
in
KOE
b
u
ild
in
g
s
h
av
e
b
ee
n
co
llected
v
ia
t
w
o
m
ed
iu
m
s
,
f
r
o
m
o
f
f
ice
o
f
Dep
ar
t
m
en
t
o
f
A
ca
d
e
m
ic
A
f
f
air
s
in
KOE
a
n
d
th
r
o
u
g
h
a
s
m
ar
t
w
a
s
te
b
i
n
.
I
n
th
is
p
r
o
j
ec
t,
f
o
u
r
b
lo
ck
s
w
h
ic
h
ar
e
E
0
,
E
1
,
E
2
,
E
3
in
KOE
b
u
ild
i
n
g
s
r
ep
r
esen
t
d
i
f
f
er
e
n
t
h
o
u
s
e
h
o
ld
s
ize.
T
ab
le
1
r
e
p
r
e
s
en
t
s
th
e
a
m
o
u
n
t
o
f
h
o
u
s
e
h
o
ld
f
o
r
ea
ch
b
u
ild
in
g
a
n
d
th
e
co
n
cu
r
r
en
t
a
m
o
u
n
t
o
f
w
a
s
te
b
in
s
i
n
s
ta
lled
.
T
h
e
am
o
u
n
t
o
f
w
a
s
te
b
in
i
n
s
tal
led
h
as
b
ee
n
o
b
tain
ed
th
r
o
u
g
h
o
b
s
er
v
atio
n
b
y
c
h
ec
k
i
n
g
ea
ch
b
lo
ck
.
T
ab
le
1
.
C
u
r
r
en
t
W
aste
B
in
‟
s
Dis
tr
ib
u
tio
n
in
KOE
B
l
o
c
k
L
e
v
e
l
o
f
st
u
d
y
N
u
mb
e
r
o
f
st
u
d
e
n
t
s
N
u
mb
e
r
o
f
b
i
n
s
E0
S
e
c
o
n
d
y
e
a
r
6
1
8
28
E1
F
i
r
st
y
e
a
r
6
7
9
30
E2
T
h
i
r
d
y
e
a
r
6
6
7
24
E3
F
o
u
r
t
h
y
e
a
r
4
3
7
16
Du
e
to
ce
r
tai
n
cir
cu
m
s
tan
ce
s
,
o
n
l
y
t
h
r
ee
s
m
ar
t
w
a
s
te
b
i
n
s
w
er
e
i
n
s
ta
lled
an
d
t
h
e
r
est
o
f
th
e
d
ata
w
er
e
ac
q
u
ir
ed
v
ia
w
ei
g
h
in
g
s
ca
le.
Du
r
i
n
g
t
h
e
e
x
p
er
i
m
e
n
tat
io
n
,
w
h
en
t
h
e
b
in
h
as
r
ea
c
h
e
d
9
0
p
er
ce
n
t
o
f
t
h
e
m
ax
i
m
u
m
allo
ca
tio
n
o
f
t
h
e
s
ize,
a
m
e
s
s
a
g
e
h
as
b
ee
n
s
en
t
v
ia
GSM
th
a
t
n
o
ti
f
y
t
h
e
co
llectio
n
ti
m
e.
T
h
e
m
e
s
s
a
g
e
r
ec
eiv
ed
i
s
s
h
o
wn
in
Fi
g
u
r
e
8
.
T
h
is
Fi
g
u
r
e
8
al
s
o
s
h
o
w
s
th
e
lo
ca
tio
n
o
f
t
h
e
b
in
an
d
t
h
e
a
m
o
u
n
t
o
f
w
a
s
te
co
llected
w
h
e
n
th
e
w
a
s
te
b
in
is
f
u
ll.
On
t
h
e
o
th
e
r
h
an
d
,
Fig
u
r
e
9
r
ep
r
esen
ts
th
e
a
m
o
u
n
t
o
f
w
ast
e
g
en
er
ated
f
o
r
w
ee
k
1
u
n
til
wee
k
5
.
As
s
ee
n
in
Fi
g
u
r
e
9
,
t
h
e
a
m
o
u
n
t
o
f
w
a
s
te
g
e
n
er
ate
d
in
b
lo
ck
E
1
ar
e
h
ig
h
e
s
t
co
m
p
ar
ed
to
th
e
o
t
h
er
th
r
ee
b
lo
ck
s
.
W
h
il
s
t,
b
lo
ck
E
3
g
en
er
ated
t
h
e
least
a
m
o
u
n
t
o
f
w
aste
.
T
h
e
h
ig
h
est
a
m
o
u
n
t
o
f
w
aste
co
llected
in
o
n
e
w
ee
k
d
u
r
in
g
t
h
e
o
b
s
er
v
atio
n
w
a
s
i
n
b
lo
ck
E
1
in
w
ee
k
5
w
h
er
e
th
e
a
m
o
u
n
t
w
as 2
0
5
k
g
p
er
w
e
ek
.
I
n
n
e
x
t sect
io
n
,
th
is
p
r
o
j
ec
t
w
il
l c
o
n
ti
n
u
e
w
i
th
t
h
e
p
r
e
-
p
r
o
ce
s
s
in
g
s
ta
g
e.
Fig
u
r
e
8
.
No
tif
icatio
n
s
en
t b
y
th
e
s
m
ar
t b
in
Fig
u
r
e
9
.
Am
o
u
n
t o
f
w
a
s
te
g
e
n
er
ated
d
u
r
in
g
f
i
v
e
w
ee
k
s
o
f
e
x
p
er
i
m
e
n
tatio
n
4.
P
RE
-
P
RO
CE
S
SI
N
G
Data
f
o
r
w
a
s
te
w
ei
g
h
t
i
n
F
ig
u
r
e
9
h
as
u
n
d
er
g
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e
t
h
e
f
ir
s
t
s
t
ep
in
t
h
e
p
r
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-
p
r
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ce
s
s
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s
ta
g
e
w
h
ic
h
i
s
o
b
tain
in
g
th
e
tr
en
d
li
n
e.
Usi
n
g
cf
to
o
l
in
M
A
T
L
A
B
,
th
e
R
²
v
alu
e
f
o
r
ea
ch
tr
en
d
li
n
es
o
f
ea
ch
b
lo
ck
w
er
e
o
b
tain
ed
.
T
h
er
e
ar
e
m
a
n
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tr
en
d
lin
es
t
h
at
h
a
v
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ap
p
lied
s
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c
h
as
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n
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d
p
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ia
l.
T
h
e
r
esu
lts
h
a
v
e
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n
laid
o
u
t
in
T
ab
le
2
.
A
s
s
h
o
w
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in
T
ab
le
2
,
all
R
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.
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h
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s
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ig
h
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t
co
m
b
in
a
tio
n
f
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r
all
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en
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lin
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o
f
all
b
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s
ar
e
m
a
x
i
m
u
m
w
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n
a
p
o
ly
n
o
m
ial
o
f
d
eg
r
ee
2
w
a
s
ap
p
lied
.
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r
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8
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9
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T
h
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t
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p
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les
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er
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u
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F
ig
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1
3
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h
o
w
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ize
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h
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ased
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ize
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tain
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m
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icted
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ize
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icted
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ased
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Fo
r
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ize
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e
h
ig
h
es
t
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al
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e
o
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w
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s
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7
9
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9
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,
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o
u
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i
ze
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g
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est
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as
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9
9
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0
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9
7
,
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o
u
s
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o
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ize
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,
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e
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ig
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alu
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o
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tai
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ed
w
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s
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9
8
8
6
4
1
6
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d
f
o
r
h
o
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ize
4
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e
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ig
h
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8
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7
6
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th
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io
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r
h
o
u
s
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ld
s
izes
in
T
ab
le
3
w
h
ic
h
i
s
t
h
e
r
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g
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ize
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g
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4
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Fig
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ater
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Evaluation Warning : The document was created with Spire.PDF for Python.
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Evaluation Warning : The document was created with Spire.PDF for Python.