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n
ec
tin
g
s
en
s
o
r
s
,
m
icr
o
co
n
tr
o
ller
s
,
ac
tu
ato
r
s
,
an
d
co
m
m
u
n
icatio
n
n
etwo
r
k
s
[
1
3
]
,
[
1
4
]
.
I
n
p
o
u
ltry
f
ar
m
in
g
,
I
o
T
s
y
s
tem
s
ca
n
co
n
tin
u
o
u
s
ly
tr
ac
k
en
v
ir
o
n
m
en
tal
p
ar
a
m
eter
s
an
d
co
n
tr
o
l
d
ev
ices
s
u
ch
as
f
an
s
,
h
ea
ter
s
,
an
d
h
u
m
id
if
ie
r
s
b
ased
o
n
s
en
s
o
r
in
p
u
ts
[
1
5
]
,
[
1
6
]
.
B
y
lev
er
ag
i
n
g
I
o
T
,
f
ar
m
e
r
s
ca
n
g
ain
r
ea
l
-
tim
e
i
n
s
ig
h
ts
in
to
co
o
p
c
o
n
d
itio
n
s
,
r
esp
o
n
d
s
wif
tly
to
en
v
ir
o
n
m
en
tal
ch
an
g
es,
an
d
e
v
en
co
n
tr
o
l
s
y
s
tem
s
r
em
o
tely
v
ia
clo
u
d
-
b
ased
p
latf
o
r
m
s
[
1
7
]
.
T
h
is
tech
n
o
lo
g
y
n
o
t
o
n
ly
e
n
h
an
ce
s
o
p
er
atio
n
a
l
ef
f
icien
cy
b
u
t
also
r
e
d
u
ce
s
r
elian
ce
o
n
m
a
n
u
al
lab
o
r
an
d
m
in
im
izes
h
u
m
an
er
r
o
r
.
Desp
ite
th
e
ad
v
a
n
tag
es
o
f
I
o
T
-
b
ased
m
o
n
ito
r
in
g
,
m
o
s
t
ex
is
tin
g
s
y
s
tem
s
lack
in
tel
lig
en
ce
in
in
ter
p
r
etin
g
t
h
e
s
en
s
o
r
d
ata
b
e
y
o
n
d
f
ix
ed
th
r
esh
o
ld
i
n
g
[
1
8
]
.
Fo
r
in
s
tan
ce
,
wh
ile
a
b
asic
s
y
s
tem
ca
n
ac
tiv
ate
a
f
an
wh
en
th
e
tem
p
er
atu
r
e
ex
ce
ed
s
a
s
et
lim
it,
it
m
ay
n
o
t
ac
co
u
n
t
f
o
r
th
e
co
m
b
in
e
d
ef
f
ec
t
o
f
m
u
ltip
le
v
ar
iab
les,
s
u
ch
as
tem
p
er
atu
r
e
,
h
u
m
id
ity
,
an
d
a
m
m
o
n
ia
lev
e
ls
[
1
9
]
,
[
2
0
]
.
Fu
r
th
er
m
o
r
e,
r
ig
id
th
r
esh
o
ld
-
b
ased
s
y
s
tem
s
d
o
n
o
t
ad
ap
t
well
to
th
e
v
ar
ia
b
ilit
y
o
f
b
io
l
o
g
ical
s
y
s
tem
s
o
r
to
d
if
f
er
en
t
s
tag
es
o
f
b
r
o
iler
d
ev
elo
p
m
e
n
t,
ea
ch
o
f
wh
ich
m
ay
h
av
e
u
n
iq
u
e
en
v
ir
o
n
m
e
n
tal
r
eq
u
ir
em
en
ts
.
T
o
ad
d
r
ess
t
h
ese
lim
itatio
n
s
,
th
e
in
teg
r
atio
n
o
f
m
ac
h
in
e
lear
n
i
n
g
(
ML
)
tech
n
iq
u
es
in
to
I
o
T
s
y
s
tem
s
i
s
g
ain
in
g
atten
ti
o
n
[
1
4
]
,
[
2
1
]
,
[
2
2
]
.
Ma
ch
in
e
lear
n
i
n
g
en
ab
les
s
y
s
tem
s
to
id
en
tify
p
atter
n
s
an
d
m
ak
e
d
ata
-
d
r
iv
e
n
d
ec
is
io
n
s
,
o
f
f
er
i
n
g
g
r
ea
te
r
ad
ap
tab
ilit
y
an
d
p
r
ec
is
io
n
.
A
m
o
n
g
v
ar
io
u
s
ML
al
g
o
r
ith
m
s
,
k
-
n
ea
r
est
n
eig
h
b
o
r
(
KNN)
h
as
p
r
o
v
en
to
b
e
ef
f
ec
tiv
e
f
o
r
class
if
icatio
n
task
s
with
lo
w
co
m
p
u
tatio
n
al
r
eq
u
ir
em
en
ts
[
2
3
]
,
[
2
4
]
.
KNN
o
p
er
ates b
y
m
ea
s
u
r
in
g
th
e
s
im
ilar
ity
(
o
r
d
is
tan
ce
)
b
et
wee
n
n
ew
d
ata
p
o
in
ts
an
d
p
r
e
v
io
u
s
ly
lab
eled
ex
am
p
les,
m
a
k
in
g
it
s
u
itab
le
f
o
r
em
b
ed
d
e
d
ap
p
licatio
n
s
with
c
o
n
s
tr
ain
ed
r
eso
u
r
ce
s
[
2
5
]
.
T
h
is
s
tu
d
y
p
r
o
p
o
s
es
a
lo
w
-
co
s
t,
in
tellig
en
t
p
o
u
ltry
co
o
p
co
n
tr
o
l
s
y
s
tem
th
at
in
teg
r
ates
r
ea
l
-
tim
e
en
v
ir
o
n
m
en
tal
m
o
n
ito
r
in
g
w
ith
k
-
n
ea
r
est
n
eig
h
b
o
r
(
KN
N)
-
b
ased
co
m
f
o
r
t
class
if
icatio
n
an
d
a
u
to
m
atic
ac
tu
atio
n
.
T
h
e
s
y
s
tem
co
n
s
is
ts
o
f
E
SP
3
2
m
icr
o
c
o
n
tr
o
ller
s
in
ter
f
ac
ed
with
DHT
1
1
a
n
d
MQ
-
1
3
5
s
en
s
o
r
s
t
o
m
ea
s
u
r
e
tem
p
e
r
atu
r
e,
h
u
m
id
it
y
,
an
d
a
m
m
o
n
ia
lev
els.
A
clo
u
d
-
b
ased
KNN
m
o
d
el
ca
teg
o
r
izes
en
v
ir
o
n
m
en
tal
co
n
d
itio
n
s
in
to
th
r
ee
class
es
—
"c
o
m
f
o
r
tab
le
,
"
"u
n
co
m
f
o
r
ta
b
le
,
"
an
d
"h
ig
h
l
y
u
n
co
m
f
o
r
ta
b
le"
—
wh
ich
ar
e
th
en
m
ap
p
ed
to
c
o
r
r
esp
o
n
d
in
g
ac
tu
ato
r
r
esp
o
n
s
es.
C
o
m
m
u
n
ic
atio
n
is
f
ac
ilit
ated
u
s
in
g
th
e
m
ess
ag
e
q
u
eu
in
g
telem
etr
y
tr
an
s
p
o
r
t
(
MQ
T
T
)
p
r
o
to
co
l,
w
h
ile
u
s
er
in
ter
ac
tio
n
is
s
u
p
p
o
r
ted
v
ia
T
eleg
r
am
n
o
tific
atio
n
s
an
d
th
e
B
ly
n
k
I
o
T
d
ash
b
o
ar
d
.
T
h
e
m
a
in
o
b
jectiv
e
o
f
t
h
is
s
tu
d
y
is
to
ad
d
r
ess
th
e
lack
o
f
ad
a
p
tiv
e
in
tellig
en
ce
in
s
m
all
-
an
d
m
ed
i
u
m
-
s
ca
le
p
o
u
ltry
f
a
r
m
in
g
a
u
to
m
atio
n
s
y
s
tem
s
.
T
h
e
ap
p
r
o
ac
h
is
n
o
v
el
in
th
at
it
u
n
if
ies
s
en
s
in
g
,
lear
n
in
g
,
co
n
tr
o
l,
an
d
u
s
er
in
ter
f
ac
e
in
to
a
clo
s
ed
-
lo
o
p
s
y
s
tem
,
r
ath
er
th
an
tr
ea
tin
g
th
ese
co
m
p
o
n
en
ts
s
ep
ar
ately
.
Un
lik
e
p
r
io
r
s
tu
d
ies
th
at
f
o
cu
s
s
o
lely
o
n
m
o
n
ito
r
in
g
o
r
o
n
is
o
lated
c
o
n
tr
o
l,
o
u
r
s
y
s
tem
d
y
n
am
ically
r
esp
o
n
d
s
to
c
o
m
b
in
ed
en
v
ir
o
n
m
en
tal
in
p
u
ts
an
d
ca
n
b
e
r
etr
ain
e
d
o
v
e
r
tim
e
to
ad
ap
t
to
v
ar
y
in
g
s
tan
d
ar
d
s
o
f
b
r
o
iler
c
o
m
f
o
r
t
b
ased
o
n
ag
e
o
r
b
r
ee
d
.
All
co
m
p
o
n
e
n
ts
ar
e
l
o
w
-
co
s
t
an
d
o
p
en
-
s
o
u
r
ce
,
with
an
esti
m
ated
h
ar
d
war
e
co
s
t
b
elo
w
USD
2
5
,
en
s
u
r
in
g
ac
ce
s
s
ib
ilit
y
an
d
r
ep
licab
ilit
y
in
r
u
r
al
o
r
u
n
d
e
r
d
ev
el
o
p
ed
ar
ea
s
.
T
h
e
im
p
licatio
n
s
o
f
th
is
wo
r
k
ar
e
two
f
o
ld
:
f
ir
s
t,
it
c
o
n
t
r
ib
u
tes
to
th
e
ac
ad
em
ic
d
is
co
u
r
s
e
b
y
d
em
o
n
s
tr
atin
g
h
o
w
lig
h
tweig
h
t
ML
alg
o
r
ith
m
s
ca
n
en
h
an
ce
I
o
T
-
b
ased
ag
r
icu
ltu
r
al
s
y
s
tem
s
.
Seco
n
d
,
it
o
f
f
er
s
a
p
r
ac
tical,
s
ca
lab
le
p
r
o
to
ty
p
e
f
o
r
s
m
ar
t
p
o
u
ltry
m
a
n
ag
em
e
n
t
th
at
co
u
l
d
b
e
ex
p
a
n
d
ed
wit
h
ad
v
a
n
ce
d
f
ea
tu
r
es
s
u
ch
as
v
id
eo
-
b
ased
b
eh
av
io
r
m
o
n
ito
r
in
g
,
clo
u
d
an
aly
tics
,
an
d
in
teg
r
atio
n
in
to
lar
g
er
f
ar
m
m
a
n
ag
em
en
t
p
latf
o
r
m
s
.
T
h
is
s
tu
d
y
alig
n
s
with
th
e
s
co
p
e
o
f
th
e
I
n
t
er
n
atio
n
al
J
o
u
r
n
al
o
f
E
lectr
ical
an
d
C
o
m
p
u
te
r
E
n
g
in
ee
r
in
g
b
y
p
r
esen
tin
g
an
ap
p
lied
y
et
tec
h
n
ically
g
r
o
u
n
d
ed
I
o
T
s
o
lu
tio
n
th
at
lev
er
a
g
e
s
m
ac
h
in
e
lear
n
in
g
f
o
r
e
n
v
ir
o
n
m
en
tal
au
to
m
atio
n
.
T
h
e
p
r
o
p
o
s
ed
s
y
s
tem
b
r
id
g
es
th
e
g
a
p
b
etwe
en
em
b
ed
d
e
d
s
y
s
tem
s
,
co
n
t
r
o
l
en
g
in
ee
r
in
g
,
an
d
ag
r
ic
u
ltu
r
al
in
f
o
r
m
atics
—
ar
ea
s
th
at
ar
e
ce
n
tr
al
to
th
e
jo
u
r
n
al’
s
r
ea
d
er
s
h
ip
an
d
f
u
tu
r
e
citatio
n
p
o
ten
tial.
T
h
is
p
ap
er
is
s
tr
u
ctu
r
ed
as:
s
ec
tio
n
2
e
x
p
lain
s
th
e
s
y
s
tem
d
esig
n
an
d
im
p
lem
en
tatio
n
,
in
clu
d
in
g
h
ar
d
war
e
co
n
f
ig
u
r
ati
o
n
,
co
m
m
u
n
icatio
n
f
r
a
m
ewo
r
k
,
a
n
d
KNN
alg
o
r
ith
m
.
Sectio
n
3
p
r
esen
ts
ex
p
er
im
en
tal
r
esu
lts
an
d
co
m
p
ar
ativ
e
e
v
alu
atio
n
s
.
Sectio
n
4
co
n
clu
d
es
with
f
u
tu
r
e
r
esear
ch
d
ir
ec
tio
n
s
an
d
d
ep
lo
y
m
en
t
co
n
s
id
er
atio
n
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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t J E
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&
C
o
m
p
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n
g
I
SS
N:
2088
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8
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8
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t
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s
-
b
a
s
ed
s
ma
r
t c
o
n
tr
o
l a
n
d
co
mfo
r
t c
la
s
s
ifica
tio
n
s
ystem
fo
r
b
r
o
iler
…
(
K
h
o
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ija
h
A
mir
o
h
)
1041
2.
M
E
T
H
O
D
T
h
is
s
ec
tio
n
p
r
esen
ts
th
e
d
es
ig
n
an
d
im
p
lem
en
tatio
n
m
eth
o
d
o
lo
g
y
o
f
th
e
p
r
o
p
o
s
ed
s
m
a
r
t
p
o
u
ltry
co
o
p
s
y
s
tem
,
in
clu
d
i
n
g
th
e
h
ar
d
war
e
ar
c
h
itectu
r
e,
s
en
s
o
r
ca
lib
r
atio
n
p
r
o
ce
s
s
,
d
ata
co
m
m
u
n
icatio
n
f
r
am
ewo
r
k
,
an
d
KNN
class
if
ic
atio
n
m
o
d
el
f
o
r
c
o
m
f
o
r
t a
s
s
ess
m
en
t.
2
.
1
.
Sy
s
t
e
m
a
rc
hite
ct
ure
T
h
e
p
r
o
p
o
s
ed
s
y
s
tem
is
co
m
p
o
s
ed
o
f
t
h
r
ee
p
r
im
ar
y
s
u
b
s
y
s
tem
s
:
th
e
s
en
s
in
g
u
n
it,
t
h
e
p
r
o
c
ess
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d
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n
tr
o
l
u
n
it,
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d
th
e
c
o
m
m
u
n
icatio
n
an
d
u
s
er
in
ter
f
ac
e
u
n
it,
as
illu
s
tr
ated
in
Fig
u
r
e
1
.
T
h
is
m
o
d
u
la
r
ar
ch
itectu
r
e
en
s
u
r
es
s
ca
lab
ilit
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,
ea
s
e
o
f
in
teg
r
atio
n
,
an
d
s
e
p
ar
atio
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o
f
f
u
n
ctio
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al
r
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n
s
ib
ilit
ies
f
o
r
r
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p
er
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o
r
m
an
ce
in
p
o
u
ltr
y
en
v
i
r
o
n
m
en
tal
m
o
n
ito
r
in
g
an
d
co
n
tr
o
l.
T
h
e
s
en
s
in
g
u
n
it
co
n
s
is
ts
o
f
en
v
ir
o
n
m
en
tal
s
en
s
o
r
s
,
in
clu
d
in
g
a
DHT
1
1
f
o
r
tem
p
e
r
atu
r
e
a
n
d
h
u
m
id
it
y
m
ea
s
u
r
em
en
t,
an
d
an
MQ
-
1
3
5
g
as
s
en
s
o
r
f
o
r
d
etec
tin
g
am
m
o
n
ia
co
n
c
en
tr
a
tio
n
.
T
h
ese
p
ar
am
eter
s
ar
e
cr
itical
f
o
r
ass
ess
in
g
th
e
co
m
f
o
r
t
lev
el
in
b
r
o
iler
ch
ick
en
co
o
p
s
,
as
th
ey
d
ir
ec
t
ly
im
p
ac
t
an
im
al
h
ea
lth
an
d
p
r
o
d
u
ctiv
ity
.
T
h
e
s
en
s
o
r
s
ar
e
in
ter
f
ac
ed
with
a
n
E
SP
3
2
m
icr
o
co
n
tr
o
ller
,
w
h
ich
f
u
n
ctio
n
s
as
th
e
co
r
e
p
r
o
ce
s
s
i
n
g
an
d
co
n
tr
o
l
h
u
b
.
T
h
e
E
SP
3
2
was
ch
o
s
en
d
u
e
to
its
lo
w
co
s
t,
b
u
ilt
-
in
W
i
-
Fi
ca
p
ab
ilit
ies,
s
u
f
f
icien
t
c
o
m
p
u
tatio
n
al
r
eso
u
r
ce
s
,
an
d
co
m
p
atib
ilit
y
with
em
b
ed
d
e
d
I
o
T
ap
p
licatio
n
s
.
I
t
p
er
f
o
r
m
s
r
ea
l
-
tim
e
d
ata
ac
q
u
is
itio
n
,
p
r
e
p
r
o
ce
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s
in
g
,
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d
co
n
tr
o
l
s
ig
n
al
g
en
er
atio
n
v
ia
its
g
en
er
al
-
p
u
r
p
o
s
e
in
p
u
t/o
u
tp
u
t
(
GPI
O)
p
in
s
.
C
o
n
n
ec
ted
to
th
e
E
SP
3
2
ar
e
ac
tu
ato
r
s
s
u
ch
as
a
DC
ex
h
au
s
t
f
an
,
a
h
ea
tin
g
la
m
p
,
an
d
an
u
ltra
s
o
n
ic
h
u
m
id
if
ier
,
wh
ich
ar
e
in
ter
f
ac
ed
th
r
o
u
g
h
r
elay
m
o
d
u
les
t
o
en
ab
le
elec
tr
ical
s
witch
in
g
o
f
h
ig
h
er
-
p
o
wer
c
o
m
p
o
n
en
ts
.
T
h
e
ex
h
au
s
t
f
an
is
r
esp
o
n
s
ib
le
f
o
r
im
p
r
o
v
in
g
air
cir
cu
latio
n
an
d
r
ed
u
cin
g
b
o
th
tem
p
er
atu
r
e
an
d
am
m
o
n
ia
b
u
ild
u
p
.
T
h
e
h
ea
tin
g
lam
p
is
u
s
ed
to
elev
ate
am
b
ien
t
tem
p
er
atu
r
e,
esp
ec
ially
d
u
r
in
g
ea
r
ly
b
r
o
o
d
in
g
s
tag
es,
wh
ile
th
e
u
ltra
s
o
n
ic
h
u
m
id
if
ier
h
elp
s
r
eg
u
late
h
u
m
id
ity
b
y
d
is
p
er
s
in
g
wate
r
v
ap
o
r
in
t
o
th
e
air
.
T
o
g
et
h
er
,
th
ese
ac
tu
ato
r
s
s
u
p
p
o
r
t
m
u
lti
-
d
im
en
s
i
o
n
al
en
v
ir
o
n
m
en
tal
r
eg
u
latio
n
tailo
r
e
d
to
d
y
n
am
ic
co
n
d
itio
n
s
with
in
th
e
co
o
p
.
Fig
u
r
e
1
.
Sy
s
tem
a
r
c
h
itectu
r
e
E
n
v
ir
o
n
m
en
tal
d
ata
ac
q
u
ir
ed
b
y
th
e
s
en
s
in
g
u
n
it
is
tr
an
s
m
itted
v
ia
MQ
T
T
p
r
o
to
co
l
t
o
a
r
em
o
te
s
er
v
er
,
wh
er
e
it
is
p
r
o
ce
s
s
ed
u
s
in
g
a
KNN
class
if
icatio
n
m
o
d
el.
T
h
e
class
if
icatio
n
r
esu
lt
—
in
d
icatin
g
th
e
co
m
f
o
r
t
lev
el
o
f
th
e
c
o
o
p
—
is
s
en
t
b
ac
k
to
t
h
e
E
SP
3
2
,
wh
ich
th
en
ac
tiv
ates
th
e
ap
p
r
o
p
r
iate
ac
tu
ato
r
s
b
ased
o
n
p
r
ed
ef
in
e
d
c
o
n
tr
o
l
m
ap
p
in
g
s
.
T
h
is
d
is
tr
ib
u
te
d
p
r
o
ce
s
s
in
g
ap
p
r
o
ac
h
o
f
f
lo
a
d
s
co
m
p
u
tatio
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al
task
s
f
r
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m
t
h
e
m
icr
o
co
n
tr
o
ller
wh
ile
m
ain
tai
n
in
g
r
ea
l
-
tim
e
r
esp
o
n
s
iv
en
ess
.
Fo
r
u
s
er
in
ter
ac
tio
n
an
d
m
o
n
it
o
r
in
g
,
th
e
s
y
s
tem
in
teg
r
ates
w
ith
two
wid
ely
ac
ce
s
s
ib
le
p
lat
f
o
r
m
s
:
th
e
T
eleg
r
am
B
o
t
API
f
o
r
r
ea
l
-
tim
e
aler
ts
an
d
co
m
m
an
d
r
ec
ep
tio
n
,
an
d
th
e
B
ly
n
k
I
o
T
Dash
b
o
ar
d
f
o
r
v
is
u
al
d
ata
v
is
u
aliza
tio
n
.
T
h
ese
in
ter
f
ac
e
s
f
o
r
m
th
e
co
m
m
u
n
icatio
n
an
d
u
s
er
in
ter
f
ac
e
s
u
b
s
y
s
tem
,
e
n
ab
lin
g
f
ar
m
er
s
to
r
ec
eiv
e
n
o
tific
atio
n
s
,
m
o
n
ito
r
en
v
ir
o
n
m
en
tal
t
r
en
d
s
,
a
n
d
i
n
ter
ac
t
with
th
e
s
y
s
tem
r
e
m
o
te
ly
u
s
in
g
m
o
b
ile
o
r
web
-
b
ased
a
p
p
licatio
n
s
.
T
h
e
d
u
al
-
p
latf
o
r
m
d
esig
n
e
n
s
u
r
es
ac
ce
s
s
ib
ilit
y
,
r
ed
u
n
d
a
n
cy
,
an
d
ea
s
e
o
f
u
s
e
e
v
en
i
n
s
ettin
g
s
with
lim
ited
tech
n
ical
liter
ac
y
.
2
.
2
.
Da
t
a
a
cquis
it
io
n a
nd
co
m
m
un
ica
t
io
n
Sen
s
o
r
d
ata
is
co
llected
at
f
i
x
ed
i
n
ter
v
als
o
f
6
0
s
ec
o
n
d
s
u
s
in
g
th
e
E
SP
3
2
m
icr
o
c
o
n
tr
o
ller
,
wh
ic
h
ag
g
r
eg
ates
en
v
ir
o
n
m
e
n
tal
r
e
ad
in
g
s
f
r
o
m
th
e
DHT
1
1
an
d
MQ
-
1
3
5
s
en
s
o
r
s
.
On
ce
ac
q
u
ir
ed
,
t
h
e
d
ata
is
tr
an
s
m
itted
wir
eless
ly
o
v
er
W
i
-
Fi
u
s
in
g
th
e
MQ
T
T
p
r
o
to
co
l
—
a
lig
h
tweig
h
t,
p
u
b
lis
h
-
s
u
b
s
cr
ib
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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8
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I
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co
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ig
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ly
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T
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s
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p
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ak
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ito
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s
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ed
en
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m
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ts
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Data
p
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k
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tar
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p
latf
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m
,
wh
ich
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ts
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ter
m
ed
iar
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f
o
r
s
to
r
in
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,
p
r
o
ce
s
s
in
g
,
an
d
f
o
r
war
d
in
g
class
if
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r
esu
lts
.
Up
o
n
tr
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s
m
is
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io
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,
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e
e
n
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ir
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n
m
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y
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at
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s
co
m
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s
in
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th
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KNN
m
o
d
el.
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h
e
class
if
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n
o
u
tp
u
t
is
th
en
s
en
t
b
ac
k
to
th
e
E
SP
3
2
v
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T
T
,
en
ab
lin
g
th
e
m
icr
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co
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tr
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ller
to
tr
ig
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r
r
esp
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n
s
es
b
ased
o
n
th
e
in
f
er
r
ed
co
m
f
o
r
t
lev
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T
o
en
s
u
r
e
ac
ce
s
s
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d
u
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f
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ly
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co
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r
ates
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ac
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r
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ter
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h
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p
r
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n
d
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n
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u
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n
g
s
ettin
g
s
.
2
.
3
.
K
NN
cla
s
s
if
ica
t
io
n a
nd
co
ntr
o
l lo
g
ic
T
h
e
co
m
f
o
r
t
class
if
icatio
n
s
y
s
tem
in
th
is
s
tu
d
y
ap
p
lies
th
e
KNN
alg
o
r
ith
m
,
a
s
u
p
er
v
is
ed
m
ac
h
in
e
lear
n
in
g
m
eth
o
d
u
s
ed
f
o
r
p
at
ter
n
r
ec
o
g
n
itio
n
an
d
class
if
icatio
n
b
ased
o
n
f
ea
tu
r
e
s
im
ilar
ity
.
T
h
e
alg
o
r
ith
m
o
p
er
ates
b
y
ca
lcu
latin
g
th
e
d
is
tan
ce
b
etwe
en
a
n
ew
in
p
u
t
s
a
m
p
le
an
d
ea
ch
p
o
in
t
in
a
lab
el
ed
tr
ain
in
g
d
ataset,
ass
ig
n
in
g
th
e
lab
el
o
f
th
e
m
ajo
r
ity
am
o
n
g
t
h
e
K
n
ea
r
est
n
eig
h
b
o
r
s
.
T
h
is
ap
p
r
o
ac
h
en
a
b
les
th
e
s
y
s
tem
to
ca
p
tu
r
e
m
u
ltiv
ar
iab
le
e
n
v
ir
o
n
m
en
tal
p
atter
n
s
th
at
ca
n
n
o
t
b
e
r
ep
r
esen
ted
u
s
in
g
s
im
p
le
th
r
e
s
h
o
ld
r
u
les,
th
e
r
eb
y
im
p
r
o
v
in
g
class
if
icatio
n
ac
cu
r
ac
y
an
d
d
ec
is
io
n
r
eliab
ilit
y
.
L
et
th
e
in
p
u
t
v
ec
to
r
=
[
1
,
2
,
3
]
r
ep
r
esen
t
th
e
n
o
r
m
alize
d
en
v
ir
o
n
m
en
tal
p
ar
am
eter
s
,
wh
er
e
1
,
2
,
3
co
r
r
esp
o
n
d
to
tem
p
e
r
atu
r
e,
h
u
m
id
ity
,
an
d
am
m
o
n
ia
co
n
ce
n
tr
atio
n
,
r
esp
ec
tiv
ely
.
E
ac
h
i
n
s
tan
ce
in
th
e
tr
ain
in
g
d
ataset
=
{
(
(
)
,
(
)
)
}
is
lab
el
ed
with
a
co
m
f
o
r
t
lev
el
∈
{
,
,
}
,
wh
er
e
d
en
o
tes
c
o
m
f
o
r
ta
b
le,
d
en
o
tes
u
n
co
m
f
o
r
tab
le,
HU
d
e
n
o
tes
h
ig
h
l
y
u
n
co
m
f
o
r
tab
le
.
T
o
class
if
y
a
n
ew
in
p
u
t
,
th
e
alg
o
r
ith
m
co
m
p
u
tes th
e
E
u
clid
ea
n
d
is
tan
ce
b
etwe
en
an
d
e
v
er
y
in
s
tan
ce
in
th
e
tr
ain
in
g
d
a
taset u
s
in
g
:
(
,
)
=
√
(
1
−
1
(
)
)
2
+
(
2
−
2
(
)
)
2
+
(
3
−
3
(
)
)
2
(
1
)
T
h
e
class
if
icatio
n
d
ec
is
io
n
̂
is
th
en
d
eter
m
in
e
d
b
y
m
ajo
r
ity
v
o
tin
g
am
o
n
g
th
e
clo
s
et
in
s
tan
ce
:
̂
=
(
{
(
)
|
(
)
∈
(
)
}
)
(
2
)
I
n
th
is
s
tu
d
y
,
th
e
v
alu
e
o
f
=
3
was
s
elec
ted
em
p
ir
ically
to
ac
h
iev
e
o
p
tim
al
class
if
icat
io
n
ac
cu
r
ac
y
.
T
o
o
p
tim
ize
h
ar
d
war
e
p
er
f
o
r
m
an
ce
,
th
e
KNN
class
if
icatio
n
p
r
o
ce
s
s
is
ex
ec
u
ted
o
n
a
r
e
m
o
te
s
er
v
er
(
Go
o
g
l
e
C
o
lab
)
,
wh
ile
th
e
E
SP
3
2
m
icr
o
co
n
tr
o
ller
tr
a
n
s
m
its
r
ea
l
-
tim
e
s
en
s
o
r
r
ea
d
in
g
s
an
d
r
ec
eiv
es
o
n
ly
th
e
p
r
e
d
icted
class
lab
el
v
ia
th
e
MQ
T
T
co
m
m
u
n
icatio
n
p
r
o
to
c
o
l.
T
h
e
co
n
tr
o
l
l
o
g
ic
is
m
a
p
p
ed
d
ir
ec
tly
t
o
th
e
class
if
icatio
n
r
esu
lt.
I
f
class
if
ied
as
c
o
m
f
o
r
tab
le,
n
o
ac
tio
n
is
tak
en
.
I
f
u
n
co
m
f
o
r
t
ab
le,
eith
er
th
e
f
an
o
r
h
u
m
i
d
if
ier
is
ac
tiv
ated
,
d
e
p
en
d
i
n
g
o
n
wh
ich
p
ar
am
eter
d
ev
iates.
I
f
h
ig
h
ly
u
n
c
o
m
f
o
r
tab
le,
b
o
th
f
an
an
d
h
ea
ti
n
g
/co
o
li
n
g
ac
tu
ato
r
s
ar
e
tr
ig
g
er
ed
.
T
o
av
o
id
u
n
n
ec
ess
ar
y
ac
tu
ato
r
to
g
g
lin
g
d
u
e
to
f
lu
ct
u
atin
g
r
ea
d
in
g
s
n
ea
r
class
b
o
u
n
d
ar
ies,
a
h
y
s
ter
esis
m
ar
g
in
is
ap
p
lied
,
e
n
s
u
r
in
g
s
y
s
tem
s
tab
ilit
y
an
d
h
a
r
d
war
e
d
u
r
a
b
ilit
y
.
T
h
is
KNN
-
b
ased
d
ec
is
io
n
m
o
d
el
allo
ws
th
e
s
y
s
tem
to
r
esp
o
n
d
ad
ap
tiv
ely
to
c
o
m
p
lex
en
v
ir
o
n
m
en
tal
v
ar
iatio
n
s
r
ath
e
r
th
an
r
ely
in
g
o
n
r
ig
id
,
s
in
g
le
-
th
r
esh
o
ld
r
u
les.
2
.
4
.
Adv
a
nt
a
g
es
o
v
er
t
hresh
o
ld
-
ba
s
ed
s
y
s
t
em
s
C
o
n
v
en
tio
n
al
p
o
u
ltr
y
en
v
ir
o
n
m
en
tal
co
n
tr
o
l
s
y
s
tem
s
ty
p
ica
lly
r
ely
o
n
f
ix
ed
th
r
esh
o
l
d
lo
g
ic,
wh
er
e
in
d
iv
id
u
al
p
ar
am
eter
s
s
u
c
h
as
tem
p
er
atu
r
e
o
r
h
u
m
id
ity
ar
e
in
d
ep
en
d
en
tly
c
o
m
p
a
r
ed
a
g
ain
s
t
p
r
ed
ef
in
ed
lim
its
to
tr
ig
g
e
r
ac
tu
ato
r
r
esp
o
n
s
es.
W
h
ile
s
im
p
le
to
im
p
lem
e
n
t,
s
u
ch
a
n
ap
p
r
o
ac
h
o
f
ten
f
ails
to
ca
p
tu
r
e
th
e
co
m
p
lex
in
ter
d
ep
en
d
en
cies
am
o
n
g
en
v
ir
o
n
m
en
tal
v
ar
iab
les.
Fo
r
e
x
a
m
p
le,
a
th
r
esh
o
l
d
-
b
ased
s
y
s
tem
m
ay
ac
tiv
ate
a
n
ex
h
au
s
t
f
an
s
o
lely
d
u
e
to
elev
ated
tem
p
er
atu
r
e,
with
o
u
t
co
n
s
id
er
in
g
th
at
h
u
m
id
ity
an
d
am
m
o
n
ia
lev
els
ar
e
alr
ea
d
y
cr
itically
l
o
w
—
an
ac
tio
n
th
at
c
o
u
ld
i
n
ad
v
e
r
ten
tly
ex
ac
er
b
ate
an
im
al
d
is
co
m
f
o
r
t
o
r
in
d
u
ce
en
v
ir
o
n
m
en
tal
in
s
tab
ilit
y
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8
7
0
8
I
n
tern
et
o
f
t
h
in
g
s
-
b
a
s
ed
s
ma
r
t c
o
n
tr
o
l a
n
d
co
mfo
r
t c
la
s
s
ifica
tio
n
s
ystem
fo
r
b
r
o
iler
…
(
K
h
o
d
ija
h
A
mir
o
h
)
1043
I
n
co
n
tr
ast,
th
e
p
r
o
p
o
s
ed
s
y
s
tem
u
tili
ze
s
a
KNN
clas
s
if
icat
io
n
m
o
d
el
t
h
at
ev
alu
ates
en
v
i
r
o
n
m
en
ta
l
d
ata
in
a
m
u
ltiv
ar
iate
co
n
tex
t.
B
y
s
im
u
ltan
eo
u
s
ly
c
o
n
s
id
er
in
g
tem
p
er
at
u
r
e,
h
u
m
id
ity
,
an
d
a
m
m
o
n
i
a
co
n
ce
n
tr
atio
n
,
th
e
m
o
d
el
id
e
n
tifie
s
h
o
lis
tic
co
m
f
o
r
t
p
atter
n
s
b
ased
o
n
p
r
ev
i
o
u
s
ly
lab
eled
tr
ain
in
g
d
ata.
T
h
is
en
ab
les
th
e
s
y
s
tem
to
m
ak
e
d
ata
-
d
r
iv
en
an
d
co
n
tex
t
-
awa
r
e
co
n
tr
o
l
d
ec
is
io
n
s
,
im
p
r
o
v
i
n
g
its
r
esp
o
n
s
iv
en
ess
to
r
ea
l
-
wo
r
ld
v
a
r
iab
ilit
y
.
R
ath
er
th
an
r
ea
ctin
g
t
o
in
d
iv
i
d
u
al
p
ar
am
eter
b
r
ea
ch
es,
th
e
s
y
s
tem
class
if
ies
th
e
o
v
er
all
co
m
f
o
r
t le
v
el
o
f
th
e
co
o
p
an
d
in
itiates
ap
p
r
o
p
r
iate
ac
tu
ato
r
c
o
m
b
in
atio
n
s
ac
co
r
d
in
g
ly
.
T
h
is
class
if
icatio
n
-
b
ased
lo
g
ic
en
h
an
ce
s
s
ev
er
al
o
p
er
atio
n
al
asp
ec
ts
:
−
An
im
al
welf
ar
e
is
im
p
r
o
v
e
d
b
y
m
ain
tain
in
g
a
m
o
r
e
s
tab
le
an
d
b
io
l
o
g
ically
ap
p
r
o
p
r
iate
en
v
ir
o
n
m
e
n
t.
−
E
n
er
g
y
c
o
n
s
u
m
p
tio
n
is
r
ed
u
ce
d
,
as
ac
tu
ato
r
s
ar
e
tr
ig
g
er
ed
o
n
ly
,
w
h
en
n
ec
ess
ar
y
,
b
ased
o
n
th
e
co
m
p
r
eh
e
n
s
iv
e
co
m
f
o
r
t state
r
ath
er
th
an
is
o
lated
th
r
esh
o
ld
s
.
−
Me
ch
an
ical
d
u
r
ab
ilit
y
is
p
r
e
s
er
v
ed
th
r
o
u
g
h
m
in
im
ized
a
ctu
ato
r
s
witch
in
g
,
e
x
ten
d
in
g
th
e
life
s
p
an
o
f
h
ar
d
war
e
c
o
m
p
o
n
en
ts
.
T
h
e
in
teg
r
atio
n
o
f
in
tellig
en
t
class
if
icatio
n
n
o
t
o
n
ly
im
p
r
o
v
es
s
y
s
tem
p
e
r
f
o
r
m
an
ce
in
s
m
all
to
m
ed
iu
m
-
s
ca
le
p
o
u
ltr
y
f
ar
m
s
b
u
t
also
p
r
o
v
id
es
a
s
ca
lab
le
f
o
u
n
d
atio
n
f
o
r
m
o
r
e
ad
v
an
ce
d
ag
r
ic
u
ltu
r
al
au
to
m
atio
n
.
T
h
is
m
eth
o
d
r
ep
r
esen
ts
a
s
h
if
t
f
r
o
m
r
u
le
-
b
as
ed
au
to
m
atio
n
to
war
d
ad
ap
ti
v
e
s
m
ar
t
f
ar
m
in
g
,
s
u
p
p
o
r
tin
g
b
r
o
ad
er
e
f
f
o
r
ts
in
s
u
s
tain
ab
le
liv
esto
ck
m
an
ag
e
m
en
t a
n
d
p
r
ec
is
io
n
ag
r
ic
u
ltu
r
e.
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
T
h
is
s
ec
tio
n
p
r
esen
ts
th
e
test
i
n
g
p
r
o
ce
d
u
r
es
an
d
p
er
f
o
r
m
a
n
ce
ev
alu
atio
n
o
f
th
e
p
r
o
p
o
s
ed
I
o
T
-
b
ased
s
m
ar
t
p
o
u
ltry
c
o
o
p
s
y
s
tem
.
T
h
e
f
o
cu
s
is
o
n
f
iv
e
k
e
y
asp
ec
ts
:
i
)
en
v
ir
o
n
m
e
n
tal
d
ata
class
if
icatio
n
u
s
in
g
KNN,
ii
)
r
esp
o
n
s
e
ac
cu
r
ac
y
an
d
s
tab
ilit
y
o
f
th
e
au
to
m
atic
co
n
tr
o
l
s
y
s
tem
,
iii
)
co
m
m
u
n
icatio
n
r
eliab
ilit
y
an
d
in
ter
f
ac
e
u
s
ab
ilit
y
th
r
o
u
g
h
T
eleg
r
am
an
d
B
ly
n
k
p
latf
o
r
m
s
,
iv
)
u
s
er
f
ee
d
b
ac
k
o
n
s
y
s
tem
in
ter
ac
tio
n
,
an
d
v
)
co
m
p
ar
ativ
e
an
al
y
s
is
ag
ain
s
t tr
ad
itio
n
al
th
r
esh
o
ld
-
b
ased
s
y
s
tem
s
.
3
.
1
.
K
NN
m
o
del per
f
o
r
m
a
n
ce
T
h
e
class
if
icatio
n
m
o
d
el
d
ev
e
lo
p
ed
i
n
th
is
s
tu
d
y
em
p
lo
y
s
th
e
KNN
alg
o
r
it
h
m
,
a
s
u
p
e
r
v
is
ed
m
ac
h
i
n
e
lear
n
in
g
m
eth
o
d
k
n
o
wn
f
o
r
its
s
im
p
licity
an
d
ef
f
ec
tiv
e
n
ess
in
lo
w
-
r
eso
u
r
ce
em
b
ed
d
ed
a
p
p
licatio
n
s
.
KNN
wa
s
s
elec
ted
d
u
e
to
its
n
o
n
-
p
ar
a
m
e
tr
ic
n
atu
r
e,
m
in
im
al
tr
ain
in
g
tim
e,
an
d
ab
ilit
y
to
p
e
r
f
o
r
m
well
in
s
ce
n
ar
io
s
with
m
o
d
er
ate
-
s
ized
d
atasets
an
d
lim
ited
co
m
p
u
tatio
n
al
ca
p
ac
ity
—
m
ak
in
g
it
s
u
itab
le
f
o
r
r
ea
l
-
t
im
e
en
v
ir
o
n
m
en
tal
class
if
icatio
n
task
s
in
r
eso
u
r
c
e
-
co
n
s
tr
ain
ed
I
o
T
s
y
s
tem
s
s
u
ch
as
th
e
E
SP
3
2
-
b
ased
p
o
u
lt
r
y
m
o
n
ito
r
in
g
u
n
it
u
s
ed
in
th
is
wo
r
k
.
T
h
e
m
o
d
el
was
tr
ain
ed
u
s
in
g
a
d
at
aset
co
n
s
is
tin
g
o
f
3
4
0
lab
el
ed
in
s
tan
ce
s
,
ea
ch
r
ep
r
esen
tin
g
r
ea
l
-
wo
r
ld
e
n
v
ir
o
n
m
en
tal
co
n
d
itio
n
s
r
ec
o
r
d
e
d
f
r
o
m
b
r
o
iler
c
h
ick
en
c
o
o
p
s
.
E
ac
h
d
ata
s
am
p
le
co
n
tain
ed
th
r
ee
f
ea
tu
r
es:
tem
p
er
atu
r
e
(
°C
)
,
h
u
m
id
ity
(
%),
an
d
am
m
o
n
ia
co
n
ce
n
tr
atio
n
(
p
p
m
)
.
C
o
m
f
o
r
t
lev
el
lab
els
wer
e
d
eter
m
in
e
d
th
r
o
u
g
h
ex
p
er
t
o
b
s
er
v
atio
n
an
d
d
o
m
ain
-
b
ased
em
p
ir
ical
th
r
esh
o
ld
s
,
an
d
ca
te
g
o
r
ized
in
to
th
r
ee
class
es:
c
o
m
f
o
r
tab
l
e
(
C
)
,
u
n
co
m
f
o
r
tab
le
(
U)
,
an
d
h
ig
h
ly
u
n
co
m
f
o
r
ta
b
le
(
HU)
,
as
s
u
m
m
ar
ized
in
T
ab
le
1
.
T
ab
le
1
.
T
r
ai
n
in
g
d
ata
No
Te
mp
H
u
mi
d
i
t
y
A
mm
o
n
i
a
C
o
mf
o
r
t
l
e
v
e
l
s
0
35
.
2
49
8
.
9
0
1
35
.
5
46
7
.
9
0
2
37
.
1
47
8
.
2
0
3
37
.
1
45
7
.
9
0
4
37
.
1
46
8
0
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
3
3
5
34
.
3
50
10
.
2
2
3
3
6
30
.
7
69
6
.
3
1
3
3
7
35
48
9
2
3
3
8
35
48
9
.
9
2
3
3
9
34
.
3
50
5
.
4
1
T
o
ev
alu
ate
th
e
m
o
d
el’
s
p
er
f
o
r
m
an
ce
,
a
K
v
alu
e
o
f
3
was
s
elec
ted
b
ased
o
n
em
p
ir
ical
o
p
ti
m
izatio
n
,
an
d
k
-
f
o
l
d
cr
o
s
s
-
v
alid
atio
n
was
ap
p
lied
to
en
s
u
r
e
g
e
n
er
aliza
b
ilit
y
.
T
h
e
m
o
d
el
ac
h
iev
ed
a
n
o
v
er
all
class
if
icatio
n
ac
cu
r
ac
y
o
f
9
2
.
2
%,
in
d
icatin
g
s
tr
o
n
g
d
is
cr
im
in
ativ
e
ab
ilit
y
.
Deta
iled
p
er
f
o
r
m
an
ce
m
et
r
ics
p
er
class
wer
e
as:
−
C
o
m
f
o
r
tab
le
(
C
)
:
p
r
ec
is
io
n
=
1
0
0
%,
r
ec
all
=
9
6
%
−
Un
co
m
f
o
r
ta
b
le
(
U)
:
p
r
ec
is
io
n
=
8
9
%,
r
ec
all
=
8
5
%
−
Hig
h
ly
u
n
c
o
m
f
o
r
tab
le
(
HU)
:
p
r
ec
is
io
n
=
8
8
%,
r
ec
all
=
9
0
%
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
7
0
8
I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
1
6
,
No
.
2
,
Ap
r
il
20
2
6
:
1
0
3
9
-
1
0
5
0
1044
As
illu
s
tr
ated
in
Fig
u
r
e
2
,
t
h
e
co
n
f
u
s
io
n
m
atr
ix
r
ev
ea
le
d
th
at
m
o
s
t
m
is
class
if
icatio
n
s
o
cc
u
r
r
ed
b
etwe
en
th
e
“u
n
c
o
m
f
o
r
tab
le”
an
d
“h
ig
h
ly
u
n
co
m
f
o
r
tab
le”
cl
ass
es,
p
r
im
ar
ily
d
u
e
to
o
v
er
la
p
p
in
g
h
u
m
id
ity
a
n
d
am
m
o
n
ia
le
v
els
in
b
o
r
d
er
lin
e
ca
s
es.
T
h
is
o
b
s
er
v
atio
n
is
co
n
s
is
ten
t
with
p
h
y
s
io
lo
g
ical
th
r
esh
o
ld
s
in
p
o
u
ltry
f
ar
m
in
g
,
wh
er
e
m
in
o
r
v
ar
iatio
n
s
in
air
q
u
ality
ca
n
r
esu
lt
i
n
s
u
b
jectiv
e
co
m
f
o
r
t
d
i
f
f
er
en
ce
s
.
I
n
co
n
tr
ast,
th
e
"c
o
m
f
o
r
ta
b
le"
class
wa
s
id
en
tifie
d
with
n
ea
r
-
p
er
f
ec
t
ac
c
u
r
a
cy
d
u
e
to
its
d
is
tin
ct
an
d
wel
l
-
s
ep
ar
ated
s
en
s
o
r
r
an
g
es.
Fig
u
r
e
2.
C
o
n
f
u
s
in
g
m
atr
i
x
T
o
m
ain
tain
e
f
f
icien
cy
o
n
th
e
m
icr
o
co
n
tr
o
ller
,
t
h
e
class
if
icatio
n
p
r
o
ce
s
s
was
o
f
f
lo
ad
ed
t
o
a
r
em
o
te
s
er
v
er
u
s
in
g
Go
o
g
le
C
o
l
ab
,
wh
er
e
th
e
KNN
co
m
p
u
tatio
n
was
p
er
f
o
r
m
ed
.
T
h
e
p
r
ed
ict
ed
lab
el
was
th
en
r
etu
r
n
ed
to
th
e
E
SP
3
2
v
ia
MQ
T
T
p
r
o
to
co
l.
T
h
e
av
er
a
g
e
laten
cy
—
f
r
o
m
d
ata
tr
an
s
m
is
s
io
n
to
r
esp
o
n
s
e
r
ec
eip
t
—
was
m
ea
s
u
r
ed
at
1
.
2
s
ec
o
n
d
s
,
wh
ich
r
em
ai
n
s
ac
ce
p
tab
le
f
o
r
n
o
n
-
c
r
itical
co
n
tr
o
l
c
y
cles.
T
h
is
h
y
b
r
i
d
ar
ch
itectu
r
e
allo
ws
th
e
s
y
s
tem
to
lev
e
r
ag
e
t
h
e
ac
cu
r
ac
y
o
f
m
ac
h
in
e
lear
n
in
g
m
o
d
els
with
o
u
t
c
o
m
p
r
o
m
is
in
g
r
ea
l
-
tim
e
r
esp
o
n
s
iv
en
ess
o
r
o
v
er
lo
ad
in
g
e
d
g
e
h
ar
d
war
e.
I
n
c
o
n
tr
ast
to
co
n
v
en
tio
n
al
t
h
r
esh
o
ld
-
b
ased
s
y
s
tem
s
th
at
o
p
er
ate
o
n
s
tatic
lo
g
ic,
t
h
e
K
NN
m
o
d
el
d
em
o
n
s
tr
ated
ad
ap
tiv
e
b
eh
a
v
io
r
b
y
co
n
s
id
er
in
g
m
u
ltiv
ar
i
ab
le
in
ter
ac
tio
n
s
,
en
ab
lin
g
m
o
r
e
c
o
n
tex
t
-
awa
r
e
d
ec
is
io
n
s
.
T
h
ese
r
esu
lts
af
f
ir
m
th
e
p
o
ten
tial
o
f
lig
h
tweig
h
t
m
ac
h
in
e
lear
n
in
g
alg
o
r
it
h
m
s
in
p
r
ac
tical
s
m
ar
t
ag
r
icu
ltu
r
e
s
y
s
tem
s
,
p
ar
ticu
la
r
ly
in
s
ettin
g
s
with
lim
ited
i
n
f
r
astru
ctu
r
e
wh
e
r
e
af
f
o
r
d
ab
i
lity
,
s
im
p
licity
,
an
d
ad
ap
tab
ilit
y
ar
e
cr
itical.
3
.
2
.
Sy
s
t
e
m
re
s
po
ns
e
a
nd
a
ct
ua
t
o
r
ef
f
e
ct
iv
eness
T
h
e
ef
f
ec
tiv
e
n
ess
o
f
th
e
p
r
o
p
o
s
ed
s
m
ar
t
p
o
u
ltry
c
o
n
tr
o
l
s
y
s
tem
was
ev
alu
ated
th
r
o
u
g
h
e
x
p
er
im
en
tal
tr
ials
co
n
d
u
cted
in
a
s
ca
led
p
r
o
to
ty
p
e
co
o
p
m
ea
s
u
r
in
g
1
.
5
×2
.
5
m
eter
s
u
n
d
er
co
n
t
r
o
lled
en
v
ir
o
n
m
en
tal
co
n
d
itio
n
s
as
s
h
o
w
n
in
Fig
u
r
e
3
.
T
h
e
test
s
etu
p
in
cl
u
d
ed
a
DHT
1
1
s
en
s
o
r
f
o
r
tem
p
er
a
tu
r
e
an
d
h
u
m
id
ity
m
ea
s
u
r
em
en
t,
a
n
MQ
-
1
3
5
s
en
s
o
r
f
o
r
am
m
o
n
ia
d
etec
tio
n
,
an
d
th
r
ee
ac
tu
ato
r
s
:
a
2
5
W
h
ea
tin
g
lam
p
,
a
1
5
W
DC
ex
h
au
s
t
f
an
,
an
d
a
n
u
ltra
s
o
n
ic
h
u
m
i
d
if
ier
.
T
h
r
ee
en
v
ir
o
n
m
en
tal
s
ce
n
a
r
io
s
wer
e
s
im
u
lated
to
r
ep
r
esen
t
v
ar
y
in
g
co
m
f
o
r
t le
v
els ty
p
ical
ly
en
co
u
n
ter
ed
in
b
r
o
iler
p
r
o
d
u
ctio
n
en
v
ir
o
n
m
e
n
ts
:
−
Scen
ar
io
A
(
h
ig
h
ly
u
n
co
m
f
o
r
t
ab
le
)
:
t
em
p
er
atu
r
e
=
3
4
°C
,
h
u
m
id
ity
=
3
8
%,
a
m
m
o
n
ia
=
6
1
p
p
m
−
Scen
ar
io
B
(
u
n
co
m
f
o
r
ta
b
le
)
:
t
em
p
er
atu
r
e
=
2
9
°C
,
h
u
m
id
ity
=
4
3
%,
a
m
m
o
n
ia
=
3
9
p
p
m
−
Scen
ar
io
C
(
co
m
f
o
r
tab
le
)
:
t
em
p
er
atu
r
e
=
2
6
°C
,
h
u
m
i
d
ity
=
5
7
%,
a
m
m
o
n
ia
=
2
1
p
p
m
I
n
s
ce
n
ar
io
A,
t
h
e
e
n
v
ir
o
n
m
en
tal
co
n
d
itio
n
was
class
if
ied
b
y
th
e
KNN
m
o
d
el
a
s
Hig
h
ly
u
n
co
m
f
o
r
tab
le.
T
h
e
s
y
s
tem
r
esp
o
n
d
ed
b
y
ac
tiv
atin
g
b
o
th
t
h
e
f
an
an
d
h
u
m
id
if
ier
with
in
2
s
ec
o
n
d
s
.
Ov
er
a
10
-
m
in
u
te
p
er
io
d
,
th
e
tem
p
er
a
tu
r
e
d
ec
r
ea
s
ed
b
y
2
.
3
°C
an
d
am
m
o
n
ia
lev
els
wer
e
r
ed
u
ce
d
b
y
1
8
.
7
p
p
m
.
T
h
is
d
em
o
n
s
tr
ates
th
e
s
y
s
tem
’
s
ab
ilit
y
to
q
u
ick
ly
r
esto
r
e
en
v
ir
o
n
m
en
tal
b
alan
ce
in
ex
tr
em
e
c
o
n
d
itio
n
s
,
wh
ich
is
cr
u
cial
f
o
r
p
r
ev
e
n
tin
g
h
ea
t
s
tr
ess
an
d
r
esp
ir
ato
r
y
d
is
tr
ess
in
b
r
o
iler
s
.
Su
ch
r
esp
o
n
s
iv
en
ess
alig
n
s
wi
th
p
r
io
r
f
in
d
in
g
s
in
d
icatin
g
th
at
s
wif
t
v
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d
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ates
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3
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3
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Co
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ter
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ased
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s
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u
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e
4
.
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r
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in
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w
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ts
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d
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ch
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cr
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m
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els
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o
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o
T
ar
ch
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r
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r
in
g
a
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8
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h
o
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r
co
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tin
u
o
u
s
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tr
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m
itted
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ess
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r
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k
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to
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atica
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ir
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atin
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tn
ess
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ased
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itectu
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h
is
lev
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is
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p
tab
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to
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o
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ay
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f
ec
t
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ter
m
en
v
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m
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tal
s
tab
ilit
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if
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u
n
ad
d
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.
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u
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th
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en
h
an
ce
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in
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tu
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im
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lem
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tatio
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s
,
in
teg
r
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with
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d
u
n
d
an
t c
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m
m
u
n
icatio
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c
h
an
n
els o
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f
ail
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s
af
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f
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er
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n
g
m
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is
m
s
is
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o
m
m
en
d
e
d
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ter
m
s
o
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er
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ter
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,
t
h
e
s
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s
tem
em
p
lo
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ed
two
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m
p
lem
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tar
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p
latf
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r
m
s
:
th
e
T
el
eg
r
am
B
o
t
API
an
d
th
e
B
ly
n
k
I
o
T
Dash
b
o
ar
d
.
T
eleg
r
am
p
r
o
v
id
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lig
h
tweig
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t
an
d
wid
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ac
ce
s
s
ib
le
m
es
s
ag
in
g
ca
p
ab
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en
ab
lin
g
f
ar
m
e
r
s
to
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ec
ei
v
e
r
ea
l
-
tim
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aler
ts
r
eg
ar
d
in
g
co
o
p
s
tatu
s
an
d
ac
t
u
ato
r
ac
tiv
ity
.
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av
er
ag
e,
th
e
tim
e
b
etwe
en
r
eq
u
est
an
d
s
y
s
tem
r
esp
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s
e
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m
ea
s
u
r
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at
1
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1
s
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o
n
d
s
,
wh
ich
is
ad
eq
u
ate
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o
r
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ield
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s
e.
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s
m
ess
ag
es
we
r
e
f
o
r
m
atted
clea
r
ly
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in
d
icatin
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en
v
ir
o
n
m
en
tal
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if
icatio
n
an
d
co
r
r
esp
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n
d
in
g
s
y
s
tem
ac
tio
n
s
(
e.
g
.
,
"statu
s
: u
n
co
m
f
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r
tab
le
–
f
an
ac
tiv
ated
"
)
.
T
h
e
B
ly
n
k
d
ash
b
o
ar
d
,
s
h
o
wn
i
n
Fig
u
r
e
5
,
o
f
f
e
r
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v
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al
in
t
er
f
ac
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f
o
r
m
o
n
ito
r
in
g
s
en
s
o
r
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ata.
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tim
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tem
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h
u
m
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d
am
m
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is
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s
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am
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ch
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with
u
p
d
ate
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ter
v
als
o
f
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to
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d
s
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ad
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itio
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to
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in
ter
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ac
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to
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is
to
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ical
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d
s
o
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e
r
a
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4
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r
win
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p
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tin
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b
etter
-
in
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o
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m
ed
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m
ak
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.
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ter
f
ac
e
n
o
ted
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in
tu
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lay
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t
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d
lo
w
lear
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in
g
c
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r
v
e,
m
ak
in
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it
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itab
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en
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o
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s
er
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with
lim
ited
tech
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ical
b
ac
k
g
r
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n
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.
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m
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itted
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ce
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m
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ile
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lex
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ter
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Evaluation Warning : The document was created with Spire.PDF for Python.
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1047
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it
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ed
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tem
in
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ea
l
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ld
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n
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itio
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s
.
Par
ticip
an
ts
wer
e
in
tr
o
d
u
ce
d
to
th
e
s
y
s
tem
an
d
ask
ed
to
ex
p
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o
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e
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o
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th
e
T
eleg
r
am
b
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t
an
d
th
e
B
ly
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ash
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t
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ain
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o
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s
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u
ctio
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al
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ater
ials
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itio
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s
o
f
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ir
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t
-
tim
e
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s
e
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th
e
f
ield
.
All
p
ar
ticip
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ts
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e
ab
le
to
:
−
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d
er
s
tan
d
th
e
m
ea
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g
o
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m
f
o
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le
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el
class
if
icatio
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s
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co
m
f
o
r
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le,
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n
c
o
m
f
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le,
h
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h
ly
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le
)
p
r
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ted
as C
,
U,
an
d
HU.
−
I
n
ter
p
r
et
s
en
s
o
r
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ea
d
in
g
s
(
tem
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m
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ity
,
am
m
o
n
ia)
d
is
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lay
ed
o
n
th
e
d
ash
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o
ar
d
.
−
C
o
r
r
elate
s
y
s
tem
n
o
tific
atio
n
s
with
co
r
r
esp
o
n
d
in
g
ac
t
u
ato
r
a
ctio
n
s
(
e.
g
.
,
f
an
o
r
h
u
m
id
if
ier
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tiv
atio
n
)
.
Feed
b
ac
k
g
ath
er
ed
d
u
r
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th
e
s
ess
io
n
in
d
icate
d
h
ig
h
lev
els
o
f
u
s
er
s
atis
f
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tio
n
,
p
a
r
ticu
lar
l
y
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ter
m
s
o
f
s
y
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tem
r
esp
o
n
s
iv
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d
in
tu
itiv
e
d
esig
n
.
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s
r
ep
o
r
ted
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at
r
ea
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tim
e
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o
tific
atio
n
s
r
ed
u
ce
d
th
eir
n
ee
d
f
o
r
m
an
u
al
co
o
p
in
s
p
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tio
n
s
,
esp
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ially
d
u
r
in
g
h
o
t
wea
th
er
co
n
d
itio
n
s
wh
en
r
ap
id
en
v
ir
o
n
m
en
tal
ch
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g
es
ar
e
co
m
m
o
n
.
T
h
e
g
r
ap
h
ical
in
d
ic
ato
r
s
in
th
e
B
ly
n
k
d
ash
b
o
ar
d
wer
e
co
n
s
id
er
e
d
ea
s
ier
t
o
r
ea
d
an
d
in
ter
p
r
et
t
h
an
an
alo
g
g
au
g
es
ty
p
ically
u
s
ed
in
r
u
r
al
f
ar
m
i
n
g
s
etu
p
s
.
Desp
ite
th
e
g
en
er
ally
p
o
s
itiv
e
f
e
ed
b
ac
k
,
p
ar
ticip
a
n
ts
also
ex
p
r
ess
ed
in
ter
est
in
a
d
d
i
tio
n
al
f
ea
tu
r
es,
s
u
ch
as
a
s
tan
d
alo
n
e
m
o
b
ile
ap
p
licatio
n
with
o
f
f
lin
e
ca
p
a
b
ilit
ies
f
o
r
u
s
e
in
ar
ea
s
with
p
o
o
r
in
ter
n
et
co
n
n
ec
tiv
ity
.
T
h
is
in
p
u
t
h
ig
h
lig
h
ts
f
u
tu
r
e
o
p
p
o
r
tu
n
ities
f
o
r
d
ev
elo
p
m
e
n
t
an
d
c
o
n
tex
tu
al
ad
ap
tatio
n
.
Ov
er
all,
th
e
s
y
s
tem
was p
er
ce
iv
e
d
as
u
s
er
-
f
r
ien
d
l
y
,
i
n
f
o
r
m
ativ
e
,
an
d
lo
w
-
b
ar
r
ier
to
ad
o
p
tio
n
,
ev
en
f
o
r
u
s
er
s
with
lim
ited
tech
n
o
lo
g
ical
ex
p
e
r
ien
ce
.
Ho
wev
er
,
th
e
s
m
all
n
u
m
b
er
o
f
p
ar
ticip
an
ts
an
d
th
e
in
f
o
r
m
al
n
atu
r
e
o
f
th
e
test
in
g
p
r
o
ce
s
s
r
e
p
r
esen
t
a
lim
itatio
n
th
at
will
b
e
ad
d
r
es
s
ed
in
f
u
t
u
r
e
wo
r
k
th
r
o
u
g
h
b
r
o
a
d
er
f
ield
tr
ials
an
d
s
tr
u
ctu
r
ed
u
s
ab
ilit
y
ev
al
u
atio
n
s
u
s
in
g
s
tan
d
ar
d
ize
d
m
etr
ics
(
e.
g
.
,
s
y
s
tem
u
s
ab
ilit
y
s
ca
le
).
3
.
5
.
Co
m
pa
ra
t
iv
e
ev
a
lua
t
io
n wit
h t
hresh
o
l
d
-
ba
s
ed
s
y
s
t
e
m
s
T
o
ass
ess
th
e
ad
v
an
tag
es
o
f
th
e
p
r
o
p
o
s
ed
in
tellig
en
t
co
n
tr
o
l
s
y
s
tem
,
a
co
m
p
ar
ativ
e
ex
p
er
im
en
t
was
co
n
d
u
cte
d
ag
ain
s
t
a
co
n
v
en
tio
n
al
th
r
esh
o
ld
-
b
ased
lo
g
ic
s
y
s
tem
u
s
in
g
th
e
s
am
e
p
r
o
to
ty
p
e
co
o
p
a
n
d
en
v
ir
o
n
m
en
tal
test
co
n
d
itio
n
s
.
I
n
th
e
t
h
r
esh
o
ld
-
b
ased
co
n
f
ig
u
r
atio
n
,
ac
tu
at
o
r
s
wer
e
t
r
ig
g
er
ed
b
ased
o
n
p
r
ed
ef
in
e
d
s
in
g
le
-
v
ar
iab
le
li
m
its
—
f
o
r
in
s
tan
ce
,
th
e
f
an
was
ac
tiv
ated
wh
en
tem
p
er
at
u
r
e
ex
ce
e
d
ed
3
0
°C
,
o
r
th
e
h
u
m
id
if
ier
was
tr
ig
g
er
ed
wh
en
h
u
m
id
ity
d
r
o
p
p
ed
b
elo
w
4
5
%.
T
h
is
s
tatic
r
u
le
s
et
d
id
n
o
t
co
n
s
id
e
r
in
ter
ac
tio
n
s
am
o
n
g
en
v
ir
o
n
m
e
n
tal
p
ar
am
eter
s
o
r
allo
w
d
y
n
a
m
ic
ad
ap
tatio
n
to
v
ar
y
in
g
co
n
d
itio
n
s
.
I
n
co
n
tr
ast,
th
e
KNN
-
b
ased
s
y
s
tem
cla
s
s
if
ied
co
m
f
o
r
t
lev
els
b
y
ev
alu
atin
g
all
th
r
ee
en
v
ir
o
n
m
en
tal
p
ar
am
eter
s
s
im
u
ltan
eo
u
s
ly
—
tem
p
er
atu
r
e,
h
u
m
id
ity
,
an
d
am
m
o
n
ia
c
o
n
ce
n
tr
atio
n
—
b
ased
o
n
lear
n
ed
p
atter
n
s
f
r
o
m
lab
eled
d
ata.
T
h
is
en
a
b
led
th
e
s
y
s
tem
to
r
esp
o
n
d
m
o
r
e
c
o
n
t
ex
tu
ally
an
d
s
elec
tiv
ely
,
ac
tiv
atin
g
ac
tu
ato
r
s
o
n
l
y
wh
en
th
e
o
v
e
r
all
en
v
ir
o
n
m
en
tal
s
tate
was
class
if
ied
as
“
u
n
co
m
f
o
r
tab
le”
o
r
“h
ig
h
ly
u
n
c
o
m
f
o
r
tab
le
.”
T
h
e
p
er
f
o
r
m
an
ce
o
f
b
o
th
s
y
s
tem
s
wa
s
co
m
p
ar
ed
ac
r
o
s
s
f
o
u
r
k
e
y
o
p
er
atio
n
al
m
etr
ics,
as
s
u
m
m
ar
ized
in
T
ab
le
2
.
T
ab
le
2
.
C
o
m
p
a
r
ativ
e
e
v
alu
ati
o
n
P
a
r
a
me
t
e
r
Th
r
e
s
h
o
l
d
s
y
st
e
m
K
N
N
-
b
a
s
e
d
s
y
st
e
m
F
a
n
a
c
t
i
v
a
t
i
o
n
f
r
e
q
u
e
n
c
y
(
2
4
h
)
4
8
t
i
mes
3
2
t
i
mes
(
−
3
4
%)
Te
mp
e
r
a
t
u
r
e
s
t
a
b
i
l
i
t
y
(
±
1
.
5
°
C
)
5
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f
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i
me
8
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En
e
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g
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o
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m
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t
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(
e
st
.
)
0
.
7
4
k
W
h
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6
5
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h
(
−
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A
mm
o
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i
a
S
t
a
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l
i
t
y
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p
m)
6
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5
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T
h
e
r
esu
lts
in
d
icate
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at
th
e
K
NN
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b
ased
s
y
s
tem
ac
h
iev
ed
s
u
p
er
io
r
en
v
ir
o
n
m
en
tal
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n
tr
o
l
with
f
ewe
r
ac
tu
ato
r
ac
tiv
atio
n
s
,
r
esu
ltin
g
in
lo
wer
en
e
r
g
y
co
n
s
u
m
p
tio
n
an
d
r
e
d
u
ce
d
m
ec
h
a
n
ical
wea
r
.
Mo
r
e
im
p
o
r
tan
tly
,
th
e
KNN
m
o
d
el
ex
h
ib
ited
b
e
tter
tem
p
er
atu
r
e
an
d
am
m
o
n
i
a
s
tab
ilit
y
,
two
f
ac
to
r
s
th
at
ar
e
cr
itical
to
b
r
o
iler
co
m
f
o
r
t
an
d
h
ea
lth
.
Fo
r
in
s
tan
ce
,
f
r
eq
u
e
n
t
ac
tiv
atio
n
o
f
f
an
s
in
th
e
t
h
r
esh
o
ld
s
y
s
tem
,
r
eg
ar
d
less
o
f
am
m
o
n
i
a
o
r
h
u
m
id
ity
lev
els,
o
f
te
n
led
t
o
s
u
b
o
p
tim
al
m
icr
o
clim
ate
o
u
tco
m
es,
s
u
ch
as
in
cr
ea
s
ed
d
r
y
n
ess
o
r
u
n
n
ec
ess
ar
y
co
o
lin
g
.
T
h
is
o
b
s
er
v
atio
n
alig
n
s
with
p
r
io
r
r
esear
ch
em
p
h
asizin
g
th
e
im
p
o
r
tan
ce
o
f
co
o
r
d
in
ate
d
co
n
tr
o
l
s
tr
ateg
ies f
o
r
liv
esto
ck
welf
ar
e
an
d
r
eso
u
r
ce
o
p
tim
izatio
n
.
Fu
r
th
er
m
o
r
e
,
th
e
th
r
esh
o
ld
s
y
s
tem
r
eq
u
ir
e
d
m
an
u
al
tu
n
in
g
o
f
s
etp
o
in
ts
to
ad
ju
s
t
f
o
r
ch
an
g
in
g
wea
th
er
o
r
f
lo
c
k
a
g
e,
w
h
er
ea
s
th
e
KNN
m
o
d
el
c
o
u
ld
b
e
r
e
tr
ain
ed
with
n
ew
la
b
eled
d
ata,
p
r
o
v
id
in
g
g
r
ea
ter
lo
n
g
-
ter
m
a
d
ap
tab
ilit
y
.
T
h
e
a
b
ilit
y
to
in
co
r
p
o
r
ate
d
ata
-
d
r
iv
en
d
ec
is
io
n
-
m
ak
i
n
g
allo
ws
th
e
in
tellig
en
t
s
y
s
tem
to
ev
o
l
v
e
o
v
er
tim
e
an
d
ad
a
p
t
to
d
if
f
er
en
t
p
o
u
ltry
b
r
ee
d
s
,
c
o
o
p
d
esig
n
s
,
o
r
g
eo
g
r
ap
h
ic
clim
ates.
I
n
s
u
m
m
ar
y
,
th
is
co
m
p
ar
ativ
e
an
aly
s
is
v
alid
ates
th
e
p
r
ac
tical
b
en
ef
its
o
f
in
tellig
en
t,
m
u
ltiv
ar
iate
co
n
tr
o
l
lo
g
ic
o
v
e
r
Evaluation Warning : The document was created with Spire.PDF for Python.
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Vo
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tr
ad
itio
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al
f
ix
ed
-
r
u
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s
y
s
tem
s
in
p
o
u
ltry
f
a
r
m
en
v
ir
o
n
m
en
ts
.
T
h
e
im
p
r
o
v
ed
en
v
ir
o
n
m
en
tal
co
n
s
is
ten
cy
,
o
p
er
atio
n
al
ef
f
icien
c
y
,
a
n
d
u
s
er
co
n
v
e
n
ien
ce
o
f
f
er
e
d
b
y
t
h
e
KNN
-
b
ased
a
p
p
r
o
ac
h
m
a
k
e
it
a
p
r
o
m
is
in
g
alter
n
ativ
e
f
o
r
m
o
d
e
r
n
s
m
all
-
an
d
m
ed
i
u
m
-
s
ca
le
b
r
o
iler
f
ar
m
in
g
o
p
er
atio
n
s
.
3
.
6
.
Su
mm
a
ry
o
f
f
ind
ing
s
T
h
e
ex
p
er
im
en
tal
r
esu
lts
d
em
o
n
s
tr
ate
th
at
th
e
p
r
o
p
o
s
ed
KN
N
-
b
ased
s
m
ar
t
co
n
tr
o
l
s
y
s
tem
p
er
f
o
r
m
s
r
eliab
ly
an
d
ef
f
ec
tiv
ely
ac
r
o
s
s
m
u
ltip
le
ev
alu
atio
n
d
im
en
s
io
n
s
.
T
h
e
class
if
icatio
n
m
o
d
el
ac
h
iev
ed
a
co
m
m
en
d
a
b
le
ac
cu
r
ac
y
o
f
9
2
.
2
%,
with
m
in
im
al
m
is
class
if
i
ca
tio
n
in
th
e
"
c
o
m
f
o
r
tab
le"
cl
ass
,
in
d
icatin
g
h
i
g
h
m
o
d
el
p
r
ec
is
io
n
i
n
id
en
tify
i
n
g
o
p
tim
al
e
n
v
ir
o
n
m
en
tal
c
o
n
d
itio
n
s
.
T
h
is
lev
el
o
f
ac
c
u
r
ac
y
en
s
u
r
es
th
at
ac
tu
ato
r
s
ar
e
o
n
ly
ac
tiv
ated
wh
en
n
ec
ess
ar
y
,
av
o
id
i
n
g
o
v
er
co
r
r
ec
tio
n
a
n
d
p
r
o
m
o
tin
g
s
y
s
tem
ef
f
icien
cy
.
I
n
ter
m
s
o
f
co
n
tr
o
l
r
esp
o
n
s
iv
en
ess
,
th
e
s
y
s
tem
co
n
s
is
ten
tl
y
ad
ju
s
ted
en
v
i
r
o
n
m
e
n
tal
p
ar
am
eter
s
—
s
u
ch
as
tem
p
er
atu
r
e,
h
u
m
id
ity
,
an
d
a
m
m
o
n
ia
co
n
ce
n
tr
atio
n
—
with
in
m
in
u
tes
f
o
llo
win
g
class
if
icatio
n
.
T
h
ese
r
ap
i
d
r
esp
o
n
s
es
wer
e
m
ad
e
p
o
s
s
ib
le
th
r
o
u
g
h
th
e
in
te
g
r
atio
n
o
f
lig
h
tweig
h
t,
r
ea
l
-
tim
e
co
m
m
u
n
ic
atio
n
f
ac
ilit
ated
b
y
th
e
MQ
T
T
p
r
o
to
co
l a
n
d
s
u
p
p
o
r
ted
b
y
An
tar
es c
lo
u
d
s
er
v
ices
.
T
h
e
T
eleg
r
am
b
o
t a
n
d
B
ly
n
k
d
ash
b
o
ar
d
o
f
f
er
e
d
ac
ce
s
s
ib
le
an
d
r
esp
o
n
s
iv
e
u
s
er
in
ter
f
ac
es,
ac
h
iev
in
g
an
a
v
er
ag
e
r
esp
o
n
s
e
tim
e
o
f
1
.
1
s
ec
o
n
d
s
,
with
u
s
er
s
r
ep
o
r
tin
g
ea
s
e
o
f
u
s
e
an
d
clea
r
f
ee
d
b
ac
k
.
Fro
m
a
u
s
ab
ilit
y
p
er
s
p
ec
tiv
e
,
ev
en
n
o
n
-
tech
n
ical
u
s
er
s
with
n
o
p
r
io
r
e
x
p
o
s
u
r
e
t
o
a
u
to
m
atio
n
tech
n
o
lo
g
ies
wer
e
ab
le
to
n
av
ig
ate
th
e
s
y
s
tem
in
tu
itiv
ely
.
T
h
is
h
ig
h
lig
h
ts
th
e
s
y
s
tem
’
s
p
o
ten
tial
f
o
r
ad
o
p
tio
n
in
s
m
all
-
an
d
m
ed
iu
m
-
s
ca
le
f
ar
m
s
,
wh
er
e
tech
n
ical
liter
ac
y
m
ay
b
e
lim
ited
.
Fu
r
th
er
m
o
r
e,
th
e
co
m
p
ar
ativ
e
ev
alu
atio
n
with
a
t
r
ad
itio
n
al
th
r
esh
o
ld
-
b
ased
s
y
s
tem
r
ev
ea
led
th
at
t
h
e
in
tellig
en
t
K
NN
-
b
ased
ap
p
r
o
ac
h
r
ed
u
ce
d
ac
t
u
ato
r
u
s
ag
e
b
y
3
4
%,
im
p
r
o
v
ed
tem
p
e
r
atu
r
e
a
n
d
am
m
o
n
ia
s
tab
ilit
y
b
y
o
v
e
r
2
0
%,
an
d
lo
wer
e
d
en
er
g
y
c
o
n
s
u
m
p
tio
n
b
y
1
2
.
6
%
—
all
o
f
wh
ich
ar
e
cr
itical
f
ac
to
r
s
f
o
r
s
u
s
tain
ab
le
an
d
co
s
t
-
ef
f
ec
tiv
e
f
ar
m
o
p
er
atio
n
s
.
T
a
k
en
t
o
g
eth
er
,
th
ese
f
in
d
in
g
s
s
u
p
p
o
r
t
t
h
e
f
ea
s
i
b
ilit
y
an
d
v
alu
e
o
f
d
ep
lo
y
i
n
g
an
in
tellig
en
t,
I
o
T
-
d
r
iv
en
co
n
tr
o
l
s
y
s
tem
in
r
ea
l
-
wo
r
ld
p
o
u
ltr
y
en
v
ir
o
n
m
en
ts
.
T
h
e
c
o
m
b
in
atio
n
o
f
ad
ap
tiv
e
d
ec
is
io
n
-
m
ak
i
n
g
,
lo
w
-
co
s
t
h
ar
d
war
e,
an
d
o
p
e
n
-
s
o
u
r
ce
im
p
lem
e
n
tatio
n
p
o
s
itio
n
s
th
e
s
y
s
tem
as
a
p
r
a
ctica
l
s
o
lu
tio
n
f
o
r
im
p
r
o
v
in
g
en
v
ir
o
n
m
e
n
tal
co
n
s
is
ten
cy
an
d
an
im
al
welf
ar
e
in
b
r
o
iler
f
ar
m
in
g
.
T
h
ese
o
u
tco
m
es
n
o
t
o
n
ly
ad
d
r
ess
im
m
ed
iate
o
p
er
atio
n
al
ch
allen
g
es
b
u
t
also
co
n
t
r
ib
u
te
to
th
e
b
r
o
ad
er
g
o
al
o
f
ad
v
a
n
cin
g
s
m
ar
t
ag
r
icu
ltu
r
e
tech
n
o
lo
g
ies in
r
eso
u
r
ce
-
lim
ited
s
ettin
g
s
.
4.
CO
NCLU
SI
O
N
T
h
is
s
tu
d
y
in
tr
o
d
u
ce
d
a
lo
w
-
co
s
t,
I
o
T
-
b
ased
s
m
ar
t
p
o
u
ltry
co
o
p
s
y
s
tem
th
at
lev
er
a
g
es
a
KNN
class
if
icatio
n
alg
o
r
ith
m
to
im
p
r
o
v
e
e
n
v
ir
o
n
m
en
tal
co
m
f
o
r
t
f
o
r
b
r
o
iler
ch
ick
en
s
.
B
y
in
teg
r
atin
g
r
ea
l
-
tim
e
s
en
s
o
r
d
ata
—
s
p
ec
if
ically
te
m
p
er
atu
r
e,
h
u
m
id
ity
,
an
d
a
m
m
o
n
ia
lev
els
—
th
e
s
y
s
tem
ca
teg
o
r
izes
co
o
p
co
n
d
itio
n
s
i
n
to
th
r
ee
c
o
m
f
o
r
t
class
es
:
co
m
f
o
r
ta
b
le,
u
n
co
m
f
o
r
tab
le,
a
n
d
h
ig
h
l
y
u
n
co
m
f
o
r
t
ab
le
.
B
ased
o
n
th
e
class
if
icatio
n
o
u
tp
u
t,
th
e
s
y
s
tem
ac
tiv
ates
r
elev
an
t
ac
tu
ato
r
s
au
to
m
atica
lly
to
m
ain
tain
o
p
ti
m
al
en
v
ir
o
n
m
en
tal
co
n
d
itio
n
s
.
T
h
e
KNN
m
o
d
el
ac
h
ie
v
ed
a
c
lass
if
icatio
n
ac
cu
r
ac
y
o
f
9
2
.
2
%,
d
em
o
n
s
tr
atin
g
s
tr
o
n
g
p
e
r
f
o
r
m
an
ce
in
r
ea
l
-
wo
r
ld
test
in
g
.
W
h
en
co
m
p
ar
ed
to
tr
a
d
itio
n
al
th
r
esh
o
ld
-
b
ased
s
y
s
tem
s
,
th
e
in
tellig
en
t
m
o
d
el
r
esu
lted
in
a
3
4
%
r
ed
u
ctio
n
in
ac
tu
at
o
r
o
v
er
ac
tiv
atio
n
,
a
2
3
%
im
p
r
o
v
e
m
en
t
in
tem
p
er
at
u
r
e
an
d
am
m
o
n
ia
s
tab
ilit
y
,
an
d
a
1
2
.
6
%
r
ed
u
ctio
n
in
en
er
g
y
co
n
s
u
m
p
tio
n
.
T
h
ese
r
esu
lts
af
f
ir
m
th
e
s
y
s
tem
’
s
p
o
ten
tial
to
e
n
h
an
ce
o
p
er
atio
n
al
ef
f
icien
cy
,
r
e
d
u
ce
m
ec
h
an
ical
wea
r
,
an
d
s
u
p
p
o
r
t a
n
im
al
welf
ar
e
in
p
o
u
ltry
f
a
r
m
in
g
en
v
ir
o
n
m
en
ts
.
T
h
e
co
m
m
u
n
icatio
n
ar
c
h
itectu
r
e,
b
u
ilt
u
p
o
n
t
h
e
MQ
T
T
p
r
o
to
co
l
an
d
i
n
teg
r
ated
with
T
e
leg
r
am
an
d
B
ly
n
k
p
latf
o
r
m
s
,
en
ab
led
r
eli
ab
le
an
d
u
s
er
-
f
r
ien
d
l
y
m
o
n
ito
r
in
g
an
d
co
n
tr
o
l.
I
n
f
o
r
m
al
u
s
ab
ilit
y
ass
es
s
m
en
ts
co
n
f
ir
m
e
d
th
at
th
e
s
y
s
tem
co
u
ld
b
e
in
tu
itiv
ely
u
s
ed
b
y
n
o
n
-
tech
n
ical
f
ar
m
er
s
,
s
u
p
p
o
r
tin
g
its
f
ea
s
ib
ili
ty
f
o
r
d
ep
lo
y
m
e
n
t
in
s
m
all
-
an
d
m
e
d
iu
m
-
s
ca
le
o
p
er
atio
n
s
.
I
n
co
n
tr
ast
to
co
n
v
en
tio
n
al
f
ix
e
d
-
r
u
le
ap
p
r
o
ac
h
es,
th
e
p
r
o
p
o
s
ed
s
y
s
tem
o
f
f
er
s
a
n
in
tellig
en
t,
ad
ap
tiv
e
s
o
lu
tio
n
th
at
is
n
o
t
o
n
ly
tech
n
icall
y
r
o
b
u
s
t
b
u
t
also
ec
o
n
o
m
ically
v
iab
le
an
d
s
ca
lab
le.
T
h
e
u
s
e
o
f
af
f
o
r
d
ab
l
e
h
ar
d
war
e
an
d
o
p
en
-
s
o
u
r
ce
s
o
f
twar
e
en
s
u
r
es
ac
ce
s
s
ib
ilit
y
,
esp
ec
ially
in
r
u
r
al
o
r
u
n
d
er
d
ev
elo
p
ed
r
eg
io
n
s
wh
er
e
tech
n
o
lo
g
ical
a
d
o
p
tio
n
is
o
f
ten
co
n
s
tr
ain
ed
b
y
co
s
t a
n
d
co
m
p
le
x
ity
.
L
o
o
k
in
g
f
o
r
war
d
,
f
u
tu
r
e
en
h
a
n
ce
m
en
ts
will
f
o
cu
s
o
n
ex
p
a
n
d
in
g
th
e
t
r
ain
in
g
d
ataset
to
in
clu
d
e
m
o
r
e
d
iv
er
s
e
en
v
ir
o
n
m
en
tal
co
n
d
it
io
n
s
an
d
f
lo
c
k
p
r
o
f
iles
,
ex
p
l
o
r
in
g
alter
n
ativ
e
m
ac
h
in
e
le
ar
n
in
g
m
o
d
els
f
o
r
im
p
r
o
v
e
d
ac
cu
r
ac
y
an
d
e
f
f
icien
cy
,
an
d
d
ev
elo
p
in
g
m
o
b
ile
ap
p
licatio
n
s
with
o
f
f
lin
e
ca
p
a
b
ilit
ies
to
in
cr
ea
s
e
s
y
s
tem
r
esil
ien
ce
in
lo
w
-
co
n
n
ec
tiv
ity
ar
ea
s
.
Ad
d
itio
n
al
im
p
r
o
v
e
m
en
ts
m
ay
in
cl
u
d
e
in
teg
r
atio
n
with
b
eh
av
io
r
al
f
ee
d
b
ac
k
lo
o
p
s
an
d
v
is
io
n
-
b
ased
m
o
n
ito
r
i
n
g
s
y
s
tem
s
to
f
u
r
th
er
elev
ate
th
e
lev
el
o
f
au
to
m
atio
n
a
n
d
in
tellig
en
ce
in
p
o
u
ltry
f
a
r
m
m
an
ag
em
e
n
t.
Ov
er
all,
th
is
wo
r
k
co
n
tr
ib
u
tes
to
th
e
a
d
v
an
ce
m
en
t
o
f
s
m
ar
t
ag
r
icu
ltu
r
e
b
y
d
em
o
n
s
tr
atin
g
th
e
f
ea
s
ib
ilit
y
o
f
a
lig
h
tweig
h
t,
in
tellig
en
t
co
n
tr
o
l
s
y
s
tem
th
at
b
r
id
g
es
I
o
T
,
m
ac
h
in
e
lear
n
in
g
,
an
d
p
r
ac
tical
liv
esto
ck
m
an
ag
em
e
n
t.
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