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Adv
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to
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Dete
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p
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s
o
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s
to
r
ag
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tim
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an
d
tem
p
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r
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[
1
]
.
Po
s
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-
h
a
r
v
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co
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h
as
th
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p
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ten
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wate
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[
2
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.
I
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f
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[
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Mo
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p
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[
4
]
.
P
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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A
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5
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C
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e
r
ea
s
o
n
s
to
d
is
co
v
er
r
etr
o
f
i
t
ex
p
o
n
e
n
tial
o
f
ex
is
tin
g
co
l
d
s
to
r
ag
e
an
d
b
etter
h
an
d
lin
g
o
f
th
e
en
er
g
y
s
u
p
p
ly
,
an
ex
am
in
atio
n
an
d
q
u
an
tizati
o
n
o
f
t
h
e
in
f
lu
e
n
cin
g
v
a
r
iab
les
o
f
th
e
tr
a
n
s
ien
t e
n
er
g
y
co
n
s
u
m
p
tio
n
is
im
p
o
r
ta
n
t
f
o
r
u
s
er
s
[
7
]
.
T
h
e
in
n
o
v
atio
n
o
f
p
h
ase
ch
an
g
e
m
ater
ials
u
til
ized
in
th
e
co
ld
r
o
o
m
h
as
in
c
r
ed
ib
le
p
o
ten
tial
in
en
er
g
y
s
to
r
a
g
e
an
d
co
s
t sp
ar
in
g
u
n
d
e
r
th
e
f
o
u
n
d
atio
n
o
f
p
ea
k
an
d
v
alley
p
r
ice
o
f
elec
tr
ic
it
y
[
8
]
.
I
n
r
ec
en
t
d
ay
s
th
e
th
er
m
al
im
ag
in
g
s
y
s
tem
h
as
b
ee
n
u
s
ed
as
an
in
s
p
ec
tio
n
to
o
l
f
o
r
m
ea
s
u
r
in
g
d
if
f
er
en
t
tem
p
e
r
atu
r
es.
I
t
is
w
o
r
k
in
g
with
th
e
p
r
in
cip
le
o
f
i
n
f
r
ar
ed
r
a
d
iatio
n
(
I
R
)
to
ab
s
o
r
b
th
e
tem
p
er
atu
r
e
an
d
th
e
r
ad
ian
en
er
g
y
o
f
th
e
o
b
ject.
I
ts
m
ajo
r
ad
v
a
n
tag
es
ar
e
n
o
n
-
co
n
tact
a
n
d
n
o
t
alter
th
e
tem
p
er
at
u
r
e
o
f
th
e
m
ea
s
u
r
in
g
o
b
jects.
Mo
r
eo
v
er
,
it
h
as
th
e
p
o
ten
tial
to
m
e
asu
r
e
wid
e
tem
p
er
atu
r
e
r
an
g
e
s
,
h
ig
h
ly
s
en
s
itiv
e,
lo
w
p
o
wer
co
n
s
u
m
p
tio
n
,
a
n
d
lo
n
g
life
.
I
n
a
d
d
itio
n
to
t
h
at
it
is
ea
s
y
to
o
p
er
ate,
r
eliab
le
an
d
s
af
e
[
9
]
.
I
n
No
n
-
d
estru
ctiv
e
test
in
g
,
T
I
h
as
b
ee
n
u
s
ed
to
d
etec
t
th
e
m
ater
ial'
s
d
ef
ec
ts
an
d
in
h
o
m
o
g
en
eit
y
b
y
its
s
tr
an
g
e
th
er
m
al
b
eh
av
io
r
[
1
0
]
.
I
d
e
n
ti
f
icatio
n
o
f
a
d
ef
ec
t
in
s
u
r
f
ac
e
an
d
u
n
d
er
th
e
s
u
r
f
ac
e
ca
n
e
v
alu
ate
b
y
in
s
p
ec
tin
g
th
e
co
n
tr
ast
o
f
th
e
th
e
r
m
al
im
ag
e
p
ix
els.
I
t
is
d
o
n
e
b
y
u
s
in
g
th
e
u
n
d
am
a
g
ed
a
r
ea
p
ix
el
c
o
n
tr
ast
as
r
ef
er
en
ce
[
1
1
]
.
I
n
civ
il
en
g
in
ee
r
in
g
T
I
s
y
s
tem
is
u
s
ed
to
in
s
p
ec
t
an
d
en
s
u
r
e
th
e
q
u
ality
o
f
th
e
b
u
ild
in
g
b
y
d
etec
tin
g
th
e
s
u
r
f
ac
e
d
ef
ec
ts
in
s
tr
u
ctu
r
es
[
1
2
]
.
I
n
t
h
is
r
esear
ch
wo
r
k
,
co
ld
r
o
o
m
s
ar
e
in
s
p
ec
ted
with
th
er
m
al
ca
m
er
a
an
d
im
a
g
es a
r
e
p
r
o
ce
s
s
ed
an
d
an
aly
ze
d
with
im
ag
e
p
r
o
ce
s
s
in
g
to
o
l in
MA
T
lab
.
2.
M
AT
E
R
I
AL
A
ND
M
E
T
H
O
DS
I
n
t
h
is
ex
p
er
im
e
n
tatio
n
,
two
-
to
n
ca
p
ac
ity
c
o
ld
s
to
r
ag
e
wa
s
u
s
ed
.
T
h
e
co
ld
s
to
r
a
g
e
h
as
b
ee
n
f
u
lly
lo
ad
ed
with
p
o
tato
es,
wh
ich
was
co
llected
f
r
o
m
lo
ca
l
ag
r
i
cu
ltu
r
al
lan
d
s
in
C
h
en
n
ai.
Po
t
ato
es
ar
e
s
tack
ed
in
th
e
p
last
ic
b
in
s
an
d
th
en
it
w
as
p
lace
d
in
o
r
d
er
.
As
p
e
r
th
e
r
eg
u
lato
r
y
g
u
id
an
ce
f
o
r
s
to
r
in
g
tem
p
er
atu
r
e
o
f
p
o
tato
es,
th
e
r
o
o
m
tem
p
e
r
atu
r
e
was
m
ain
tain
ed
1
0
o
C
with
9
0
%
h
u
m
id
ity
r
a
n
g
e
[
1
3
]
.
T
h
e
in
s
id
e
tem
p
er
atu
r
e
was
co
n
tr
o
lled
b
y
a
co
n
tr
o
l
p
an
el
p
lace
d
o
u
ts
id
e
th
e
co
ld
s
to
r
ag
e.
T
h
e
en
v
ir
o
n
m
en
t
te
m
p
er
atu
r
e
o
f
C
o
ld
s
to
r
ag
e
h
as
also
b
ee
n
m
ain
tai
n
ed
with
a
co
n
s
is
ten
t
tem
p
er
a
tu
r
e.
T
h
e
o
u
tp
u
t
an
d
in
p
u
t
p
ar
am
eter
s
o
f
th
e
c
o
ld
s
to
r
ag
e
wer
e
r
eg
u
lar
ly
m
o
n
it
o
r
ed
an
d
n
o
ted
.
A
d
etailed
d
escr
ip
tio
n
o
f
th
e
co
ld
s
to
r
a
g
e
u
n
it
is
p
r
o
v
i
d
ed
in
T
ab
le
1
.
T
o
in
s
p
ec
t
t
h
e
co
l
d
s
to
r
ag
e,
FLI
R
E
6
0
m
o
d
el
ca
m
er
a
u
s
ed
.
B
ef
o
r
e
tak
in
g
th
e
im
ag
es,
th
e
o
u
ts
id
e
en
v
ir
o
n
m
en
t
o
f
th
e
co
ld
s
to
r
a
g
e
was
s
et
as
co
n
s
tan
t
tem
p
er
atu
r
e.
T
h
e
a
u
to
m
atic
co
n
t
r
o
l
s
y
s
tem
h
as
b
ee
n
u
s
e
d
to
ch
an
g
e
am
b
ien
t
tem
p
er
at
u
r
e
an
d
r
elativ
e
h
u
m
id
ity
o
f
th
e
co
ld
s
to
r
ag
e.
T
h
e
ca
lc
u
latio
n
o
f
th
e
tr
an
s
m
is
s
io
n
h
ea
t
cr
ea
ted
b
y
walls,
f
lo
o
r
an
d
ce
ilin
g
r
eq
u
i
r
es
in
f
o
r
m
atio
n
o
n
th
ick
n
ess
an
d
ty
p
e
o
f
is
o
l
atio
n
m
ater
ial
u
s
ed
in
co
n
s
tr
u
ctio
n
o
f
co
ld
r
o
o
m
,
co
n
s
tr
u
ctio
n
o
f
b
u
ild
i
n
g
,
p
h
y
s
ical
s
p
ec
if
icatio
n
s
o
f
th
e
co
ld
s
to
r
ag
e
v
o
lu
m
e,
in
s
id
e
an
d
o
u
ts
id
e
en
v
ir
o
n
m
en
t
tem
p
er
atu
r
es.
Fo
llo
win
g
eq
u
atio
n
s
wer
e
u
s
ed
to
ca
l
cu
late
tr
an
s
m
is
s
io
n
h
ea
t [
1
4
,
1
5
]
.
q
c
=
K
A
(
t
out
−
t
i
)
q
c
=
tr
an
s
m
is
s
io
n
h
ea
t a
t f
lat
s
u
r
f
ac
e
(
k
C
al)
K=
T
o
tal
h
ea
t tr
an
s
m
is
s
io
n
co
ef
f
icien
t (
k
C
al/h
m
2
°
C)
A=
Ar
ea
o
f
h
ea
t tr
a
n
s
m
is
s
io
n
(m
2
)
t
o
=
T
em
p
er
atu
r
e
o
f
o
u
ts
id
e
o
r
n
eig
h
b
o
u
r
v
o
lu
m
e
(
°C
)
t
i
=
I
n
s
id
e
v
o
lu
m
e
tem
p
er
atu
r
e
(
°C
)
1
K
=
1
α
i
+
∑
.
n
i
=
1
x
i
li
+
1
α
o
(
1
)
W
h
er
e:
α
o
=
C
o
ef
f
icien
t o
f
h
ea
t tr
an
s
m
is
s
io
n
o
f
o
u
ts
id
e
s
u
r
f
ac
e
(
k
C
al/h
m
2
°C
)
α
i
=
C
o
ef
f
icien
t o
f
h
ea
t tr
an
s
m
i
s
s
io
n
o
f
in
s
id
e
s
u
r
f
ac
e
(
k
C
al/h
m
2
°C
)
x
i
=
Ma
ter
ial
th
ick
n
ess
(
m
)
l
i
=
T
h
er
m
al
co
n
d
u
ctiv
ity
(
k
C
al/h
m
°C
)
T
h
e
p
r
o
p
o
s
ed
m
eth
o
d
h
elp
s
ev
alu
ate
a
leak
o
f
co
ld
air
th
r
o
u
g
h
th
e
in
tr
o
d
u
ctio
n
o
f
im
ag
e
p
r
o
ce
s
s
in
g
tech
n
iq
u
es.
T
h
e
f
o
llo
win
g
s
tep
s
wer
e
tak
en
to
e
v
alu
ate
th
e
e
x
ac
t lo
ca
tio
n
o
f
th
e
leak
.
1.
Acq
u
is
itio
n
o
f
th
e
im
a
g
e
u
s
in
g
a
th
er
m
al
ca
m
er
a.
2.
Scr
ee
n
in
g
th
e
im
a
g
e
u
s
in
g
f
ilter
s
.
3.
E
n
h
an
ce
th
e
im
ag
e.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
: 2
2
5
2
-
8
8
1
4
I
n
t J Ad
v
Ap
p
l Sci
,
Vo
l.
9
,
No
.
4
,
Dec
em
b
e
r
2
0
2
0
:
2
9
4
–
3
0
1
296
4.
C
o
m
p
ar
e
th
e
r
esu
lts
Fig
u
r
e
1
.
Flo
w
ch
a
r
t th
e
s
y
s
tem
T
h
e
im
ag
e
p
r
o
ce
s
s
in
g
tech
n
i
q
u
es
cu
r
r
en
tly
ev
alu
ated
ar
e
h
is
to
g
r
am
,
Ots
u
th
r
esh
o
ld
i
n
g
,
d
if
f
u
s
io
n
er
r
o
r
a
n
d
m
o
r
p
h
o
lo
g
ical
f
u
n
c
tio
n
(
1
)
s
h
o
w
th
e
f
lo
w
ch
a
r
t
o
f
th
e
s
y
s
tem
.
T
h
e
p
u
r
p
o
s
e
o
f
th
is
r
esear
ch
is
to
d
etec
t a
co
ld
air
lea
k
lo
ca
tio
n
i
n
a
co
ld
s
to
r
a
g
e
u
n
it.
3.
F
L
O
WCH
AR
T
AND
E
XP
L
ANAT
I
O
N
3
.
1
.
I
m
a
g
e
a
cquis
it
io
n
T
h
e
q
u
ality
o
f
th
e
t
h
er
m
al
im
ag
es
d
ep
en
d
s
o
n
co
n
tr
o
llab
le
p
ar
am
eter
s
s
u
ch
as
am
b
ie
n
t
tem
p
er
atu
r
e,
air
f
lo
w
an
d
lig
h
tin
g
.
I
t
is
n
e
ce
s
s
ar
y
to
m
ain
tain
th
e
tem
p
er
atu
r
e
at
3
0
°C
,
with
o
u
t
air
d
r
af
t
an
d
d
if
f
u
s
ed
lig
h
tin
g
.
T
h
er
m
al
ca
m
er
a
h
as
b
ee
n
u
s
ed
t
o
in
s
p
ec
t
th
e
co
ld
s
to
r
ag
e
af
te
r
2
4
h
r
s
o
f
in
s
tallatio
n
.
T
h
e
th
er
m
a
l
ca
m
er
a
s
witch
ed
to
v
id
eo
m
o
d
e
an
d
r
ec
o
r
d
ed
t
h
e
en
tire
co
ld
s
to
r
ag
e
f
r
o
m
t
h
e
o
u
ts
id
e.
I
t
is
o
b
s
er
v
ed
th
at
th
e
th
er
m
al
ca
m
er
a
s
h
o
ws
m
o
s
t
o
f
th
e
r
eg
io
n
with
y
ello
w
c
o
lo
u
r
an
d
s
o
m
e
o
f
th
e
r
e
g
i
o
n
s
with
a
b
lu
e
c
o
lo
u
r
.
B
ased
o
n
th
is
v
ar
iatio
n
th
e
b
lu
e
s
p
o
t
r
eg
io
n
is
m
ar
k
e
d
an
d
im
ag
es
o
f
th
at
r
eg
i
o
n
wer
e
tak
en
f
o
r
f
u
r
th
e
r
an
aly
s
is
.
T
h
er
m
al
im
a
g
es
we
r
e
ca
p
tu
r
ed
at
wh
er
e
th
e
l
o
w
-
tem
p
er
atu
r
e
r
eg
i
o
n
is
i
d
en
tif
ied
.
E
ac
h
im
ag
e
is
an
aly
ze
d
an
d
f
ew
im
ag
e
s
ar
e
s
elec
ted
f
o
r
im
a
g
e
p
r
o
ce
s
s
in
g
.
3
.
2
.
H
is
t
o
g
ra
m m
et
ho
d
T
wo
s
ets
o
f
im
ag
es
ar
e
co
n
s
i
d
er
ed
f
o
r
th
e
an
aly
s
is
-
th
er
m
al
co
ld
s
to
r
ag
e
im
ag
e
an
d
tr
ial
im
ag
e
f
o
r
tr
ain
in
g
.
T
h
e
tr
ial
th
er
m
al
p
att
er
n
was
g
en
er
ated
u
s
in
g
co
m
p
u
tatio
n
al
f
lu
id
d
y
n
am
ics
s
o
f
twar
e
(
Star
C
C
M+
)
.
T
h
e
tr
ial
im
ag
e
is
g
en
e
r
ated
s
u
ch
th
at,
th
e
c
o
lo
u
r
b
lu
e
d
ep
icts
th
e
lo
west
tem
p
er
at
u
r
e
an
d
ex
ten
d
s
to
th
e
co
lo
u
r
r
ed
wh
ic
h
s
tan
d
s
f
o
r
th
e
h
ig
h
est
tem
p
er
atu
r
e
[
1
6
]
.
T
h
e
an
aly
s
is
was
p
er
f
o
r
m
e
d
in
th
e
n
u
m
er
ically
g
en
er
ated
im
a
g
e
an
d
th
en
r
ep
e
ated
f
o
r
t
h
e
th
er
m
al
im
a
g
e
o
f
th
e
co
ld
s
to
r
a
g
e
T
ab
le
1
.
T
h
e
c
o
ld
s
to
r
a
g
e
u
n
it
I
mag
e
N
a
m
e
Ze
r
o
s
N
o
n
-
Z
e
r
o
s
R
M
S
Er
r
o
r
S
N
R
M
e
d
i
a
n
S
t
d
d
v
I
mag
e
1
(
N
o
l
e
a
k
)
52
2
0
4
0
0
.
0
0
0
2
0
6
9
.
7
e
+
0
0
2
I
mag
e
2
(
M
o
d
e
r
a
t
e
l
e
a
k
)
0
2
1
8
6
5
.
3
7
-
9
.
9
4
1
9
3
4
.
3
e
+
0
0
2
I
mag
e
3
(
L
i
g
h
t
L
e
a
k
)
38
2
5
6
5
4
.
0
1
-
7
.
5
3
1
8
5
5
.
5
e
+
0
0
2
I
mag
e
4
(
S
e
v
e
r
e
Le
a
k
)
0
2
5
6
8
0
.
5
4
-
1
1
.
6
4
1
9
0
2
.
5
e
+
0
0
2
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ad
v
Ap
p
l Sci
I
SS
N:
2
2
5
2
-
8
8
1
4
A
p
p
lica
tio
n
o
f
th
erma
l ima
g
in
g
fo
r
d
etec
tin
g
co
l
d
a
ir
lea
k
lo
ca
tio
n
in
c
o
ld
s
to
r
a
g
e
(
P
.
P
a
t
h
ma
n
a
b
a
n
)
297
3
.
2
.
1
.
RG
B
t
o
g
re
y
co
nv
er
s
io
n
R
GB
i
s
co
n
v
er
ted
in
to
a
g
r
ey
s
ca
le
im
ag
e,
wh
ich
is
th
e
in
te
n
s
ity
im
ag
e.
T
h
is
co
n
v
er
s
io
n
o
cc
u
r
s
b
y
elim
in
atin
g
h
u
e
a
n
d
s
atu
r
atio
n
an
d
r
etain
in
g
lu
m
in
a
n
ce
.
3
.
2
.
2
.
No
is
e
f
ilte
ring
T
h
e
m
ed
ian
f
ilter
is
u
s
ed
in
th
is
p
ap
er
f
o
r
s
o
r
tin
g
o
u
t
s
alt
an
d
p
ep
p
er
n
o
is
e.
I
t
k
ee
p
s
th
e
s
h
ar
p
ed
g
es
an
d
is
a
n
o
n
-
lin
ea
r
o
p
e
r
atio
n
.
Fo
r
ev
er
y
in
p
u
t
p
ix
el
p
(
x
,
y
)
,
th
e
v
alu
e
o
f
th
e
p
i
x
el
is
f
o
u
n
d
,
its
m
ed
ian
is
id
en
tifie
d
an
d
t
h
e
v
alu
e
is
ass
ig
n
ed
to
o
u
t
p
u
t
p
ix
el
q
(
x
,
y
)
.
Af
ter
ac
q
u
ir
in
g
th
e
im
ag
e,
it
is
p
r
o
ce
s
s
ed
u
s
in
g
th
e
th
r
ee
ty
p
es
o
f
p
r
o
ce
s
s
in
g
t
ec
h
n
iq
u
es,
n
a
m
ely
h
is
to
g
r
a
m
,
Ots
u
th
r
esh
o
ld
in
g
a
n
d
m
o
r
p
h
o
lo
g
ical
f
u
n
ctio
n
.
3
.
3
.
O
t
s
u t
hresh
o
ldi
ng
m
et
ho
d
T
h
e
ac
q
u
i
r
ed
im
a
g
e
is
f
ir
s
t
c
o
n
v
er
ted
in
to
a
g
r
ey
im
a
g
e.
T
h
e
r
e
d
co
m
p
o
n
e
n
t
is
ex
tr
a
cted
f
r
o
m
th
e
im
ag
e
an
d
f
ilter
ed
u
s
in
g
a
m
ed
ian
f
ilter
.
3
.
3
.
1
.
M
edia
n f
ilte
r
T
h
e
m
ed
ia
n
f
ilter
is
u
s
ed
in
th
is
m
eth
o
d
f
o
r
p
r
eser
v
i
n
g
t
h
e
e
d
g
es
an
d
to
r
em
o
v
e
th
e
s
alt
a
n
d
p
e
p
p
er
n
o
is
e.
T
h
e
p
r
o
ce
s
s
o
f
t
h
e
m
ed
ian
f
ilter
is
th
e
r
ep
laci
n
g
o
f
ea
c
h
v
alu
e
with
th
e
m
ed
ian
v
alu
e
o
f
th
e
n
eig
h
b
o
u
r
in
g
p
ix
el.
I
t
is
d
eter
m
in
e
d
b
y
f
i
r
s
t
ar
r
an
g
in
g
all
th
e
p
ix
el
esteem
s
f
r
o
m
th
e
win
d
o
w
in
t
o
n
u
m
er
ical
r
eq
u
est,
an
d
af
ter
th
at
s
u
p
p
lan
tin
g
th
e
p
ix
el
b
ein
g
c
o
n
s
id
er
ed
with
th
e
c
en
tr
e
p
i
x
el
esteem
.
T
h
e
f
o
ca
l
p
ix
el
is
s
u
p
p
lan
ted
b
y
th
e
m
i
d
d
le
o
f
p
ix
els in
th
e
win
d
o
w.
3
.
3
.
2
.
H
is
t
o
g
ra
m e
qu
a
liza
t
io
n
T
h
e
im
ag
e
is
p
r
o
ce
s
s
ed
u
s
in
g
h
is
to
g
r
am
eq
u
aliza
tio
n
wh
i
ch
h
elp
s
a
d
ju
s
t
th
e
im
a
g
e
in
t
en
s
ities
to
en
h
an
ce
c
o
n
tr
ast.
T
ab
le
2
.
His
to
g
r
am
a
n
aly
s
is
N
o
I
mag
e
H
i
st
o
g
r
a
m
v
a
l
u
e
O
b
serv
a
t
i
o
n
1
I
mag
e
1
No
p
e
a
k
s
i
n
t
h
e
r
a
n
g
e
s
l
e
ss
t
h
a
n
1
5
0
S
i
d
e
w
a
l
l
2
I
mag
e
2
M
e
d
i
u
m
p
i
x
e
l
v
a
l
u
e
s
i
n
<
1
5
0
r
e
g
i
o
n
M
o
d
e
r
a
t
e
l
e
a
k
3
I
mag
e
3
l
e
ss
p
i
x
e
l
v
a
l
u
e
i
n
<
1
5
0
r
e
g
i
o
n
Li
g
h
t
l
e
a
k
4
I
mag
e
4
M
o
r
e
p
i
x
e
l
v
a
l
u
e
s (p
e
a
k
s)
i
n
<
1
5
0
r
e
g
i
o
n
sev
e
r
e
l
e
a
k
3
.
3
.
3
.
O
t
s
u t
hresh
o
ldi
ng
I
n
im
ag
e
b
in
ar
is
atio
n
,
Ots
u
th
r
esh
o
ld
m
eth
o
d
h
el
p
s
to
r
ed
u
ce
th
e
g
r
ey
lev
el
im
ag
e
to
a
b
in
a
r
y
im
ag
e.
I
n
th
is
m
eth
o
d
,
all
p
o
s
s
ib
le
th
r
esh
o
ld
v
al
u
es
ar
e
iter
ated
t
o
c
alcu
late
th
e
s
p
r
ea
d
o
f
p
ix
el
v
al
u
e
o
n
b
o
th
s
id
es
o
f
th
e
th
r
esh
o
ld
v
alu
e
.
T
h
e
p
u
r
p
o
s
e
is
to
f
in
d
o
u
t
th
e
th
r
esh
o
ld
v
alu
e
f
o
r
class
if
y
in
g
th
e
is
eith
er
leak
in
g
o
r
n
o
n
-
leak
in
g
.
Acc
o
r
d
i
n
g
to
OT
SU
m
eth
o
d
,
m
in
im
izin
g
‘
with
in
-
class
v
ar
ian
ce
'
is
eq
u
al
to
m
a
x
im
izi
n
g
‘
b
etwe
en
class
v
ar
ian
ce
'
o
f
th
e
s
eg
m
en
t
ed
im
ag
e.
H
o
wev
er
,
m
ax
im
izi
n
g
‘
b
etwe
en
class
v
ar
ian
ce
'
is
less
ex
p
en
s
iv
e
th
an
m
in
im
izin
g
‘
with
in
-
class
v
ar
ia
n
ce
'
.
3
.
4
.
M
o
rpho
lo
g
ica
l pro
ce
s
s
3
.
4
.
1
.
G
a
bo
r
f
ilte
rs
T
h
e
R
GB
im
ag
e
is
co
n
v
er
ted
to
a
g
r
ey
im
ag
e.
T
h
e
ca
p
tu
r
e
d
im
ag
e
is
f
ilter
ed
u
s
in
g
a
Gab
o
r
f
ilter
.
T
h
e
Gab
o
r
f
ilter
co
n
v
er
ts
th
e
im
ag
e
to
d
is
cr
ete
v
alu
e
f
o
r
g
e
ttin
g
th
e
co
n
s
tan
t
r
e
g
io
n
o
f
th
e
im
ag
e.
C
o
m
p
ar
e
d
to
o
th
er
f
ilter
s
,
th
e
Gab
o
r
f
ilter
is
p
r
im
ar
ily
u
s
ed
f
o
r
a
lo
w
r
an
g
e
o
f
v
alu
es.
T
h
e
f
ilter
ed
i
m
ag
e
is
iter
ated
f
o
r
f
iv
e
iter
atio
n
s
.
T
h
is
h
elp
s
ex
tr
ac
t p
ar
ticu
lar
af
f
ec
te
d
ar
ea
f
o
r
a
clea
r
er
v
iew.
3
.
4
.
2
.
E
nh
a
ncem
ent
t
ec
hn
i
qu
es
I
n
th
is
tech
n
iq
u
e,
t
h
er
e
ar
e
tw
o
ty
p
es
-
d
ilatio
n
an
d
er
o
s
io
n
.
Dilatio
n
is
th
e
p
r
o
ce
s
s
wh
ich
in
cr
ea
s
es
th
e
wh
ite
co
n
te
n
t
o
f
th
e
im
a
g
e
b
y
a
d
d
in
g
p
ix
el
s
to
th
e
b
o
u
n
d
ar
y
o
f
th
e
o
b
ject.
E
r
o
s
io
n
i
s
u
s
ed
to
in
c
r
ea
s
e
th
e
b
lack
co
n
ten
t
o
f
th
e
im
ag
e
b
y
r
em
o
v
in
g
th
e
p
ix
els
f
r
o
m
th
e
b
o
u
n
d
ar
y
o
f
th
e
o
b
ject.
T
h
e
s
m
all
p
ar
ticle
s
in
th
e
d
ilated
im
ag
e
a
r
e
er
o
d
ed
i
n
th
e
er
o
s
io
n
p
r
o
ce
s
s
.
3
.
4
.
3
.
M
o
rpho
lo
g
ica
l f
un
ct
io
n
A
m
o
r
p
h
o
lo
g
ical
m
eth
o
d
id
e
n
tifie
s
th
e
s
h
ap
e
an
d
f
ea
tu
r
e
s
o
f
a
co
l
d
air
leak
i
n
g
a
r
ea
in
a
g
iv
e
n
im
ag
e.
T
h
e
o
r
g
an
izin
g
c
o
m
p
o
n
en
t
is
s
et
in
ev
er
y
c
o
n
ce
iv
ab
le
s
itu
atio
n
in
th
e
p
ictu
r
e
an
d
it'
s
co
n
tr
asted
an
d
th
e
r
elatin
g
n
eig
h
b
o
u
r
h
o
o
d
o
f
p
ix
els.
Acc
o
r
d
in
g
to
th
e
o
u
t
p
u
t
o
f
th
e
test
,
it
id
en
tifie
s
th
e
im
ag
e
th
at
f
its
o
r
h
its
th
e
n
eig
h
b
o
u
r
h
o
o
d
p
ix
els
.
E
r
o
s
io
n
s
tr
ip
s
o
n
e
lay
er
o
f
b
o
th
in
n
er
an
d
o
u
ter
b
o
u
n
d
ar
ies.
I
t
av
o
id
s
s
m
all
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
: 2
2
5
2
-
8
8
1
4
I
n
t J Ad
v
Ap
p
l Sci
,
Vo
l.
9
,
No
.
4
,
Dec
em
b
e
r
2
0
2
0
:
2
9
4
–
3
0
1
298
d
etails
an
d
en
lar
g
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d
g
ap
s
b
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if
f
er
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r
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io
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s
.
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h
e
b
o
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n
d
ar
ies
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e
f
o
u
n
d
b
y
s
u
b
t
r
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g
th
e
er
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a
g
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f
r
o
m
th
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r
ig
in
al
im
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e.
x
=f
−
(
f
(
Θ)
s
)
,
wh
er
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f
is
an
im
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e
o
f
th
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eg
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3
×3
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u
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g
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en
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n
d
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is
an
im
ag
e
o
f
t
h
e
r
eg
io
n
b
o
u
n
d
ar
ies
[
1
6
]
.
Dilatio
n
ad
d
s
o
n
e
lay
er
o
n
b
o
th
th
e
in
n
er
a
n
d
o
u
ter
b
o
u
n
d
ar
ies.
I
t w
ill f
i
ll in
th
e
g
ap
s
b
etwe
e
n
th
e
two
r
e
g
io
n
s
.
4.
RE
SU
L
T
AND
DI
SCUS
SI
O
N
T
h
e
an
aly
s
is
is
d
o
n
e
with
f
o
u
r
im
ag
es
tak
en
at
d
i
f
f
er
en
t
l
o
ca
tio
n
o
f
c
o
ld
s
to
r
ag
e.
E
ac
h
im
ag
e
is
tak
en
s
ep
ar
ately
an
d
th
e
r
esu
lts
ar
e
o
b
s
er
v
ed
u
s
in
g
f
o
u
r
m
eth
o
d
s
an
d
co
m
p
a
r
ed
.
4
.
1
.
H
is
t
o
g
ra
m m
et
ho
d
Acc
o
r
d
in
g
to
Fig
u
r
e
2
,
i
t w
as o
b
s
er
v
ed
th
at
th
e
p
ix
el
in
ten
s
ity
o
f
im
ag
e
1
(
a
)
lies
b
etwe
en
ab
o
v
e
1
5
0
to
2
5
5
r
an
g
e
.
I
t
is
d
u
e
t
o
a
h
ig
h
n
u
m
b
er
o
f
b
r
ig
h
t
s
id
es
b
y
h
ig
h
tem
p
er
atu
r
es.
I
t
is
n
o
ted
as
n
o
leak
o
f
co
l
d
air
.
At
th
e
s
am
e
tim
e
p
ix
el
in
ten
s
i
ty
o
f
im
a
g
e
2
(
b
)
h
as
s
h
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wn
a
lig
h
t
p
ea
k
in
th
e
h
is
to
g
r
am
at
th
e
r
an
g
e
less
th
an
1
5
0
.
I
t is d
u
e
to
d
ar
k
er
r
eg
io
n
s
o
f
im
ag
es c
au
s
ed
b
y
lo
w
tem
p
er
atu
r
es.
Similar
ly
,
th
e
h
is
to
g
r
am
o
f
im
ag
e
4
(
d
)
s
h
o
ws
m
o
r
e
p
ea
k
s
in
th
e
lo
we
r
r
an
g
e
an
d
im
a
g
e
3
(
c)
h
as
a
m
o
d
er
ate
p
ea
k
in
lo
wer
r
an
g
e
s
.
I
t
is
o
b
s
er
v
e
d
th
at
th
e
h
is
to
g
r
am
s
s
h
o
w
th
e
c
o
ld
l
ea
k
in
g
r
e
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io
n
s
clea
r
ly
b
y
th
e
d
is
tr
ib
u
tio
n
o
f
p
ix
el
in
ten
s
ities
.
(
a
)
(
b
)
(
c)
(
d
)
Fig
u
r
e
2
.
His
to
g
r
am
o
f
th
e
im
ag
es
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ad
v
Ap
p
l Sci
I
SS
N:
2
2
5
2
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8
8
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A
p
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erma
l ima
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g
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d
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P
.
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a
t
h
ma
n
a
b
a
n
)
299
4
.
2
.
O
t
s
u t
hresh
o
ldi
ng
m
et
ho
d
Acc
o
r
d
in
g
to
Fig
u
r
e
3
,
t
h
e
s
am
e
im
ag
es
wh
ich
h
as
b
ee
n
u
s
ed
in
th
e
h
is
to
g
r
a
m
m
eth
o
d
ar
e
p
r
o
ce
s
s
ed
with
o
ts
u
th
r
esh
o
l
d
in
g
.
T
h
e
r
esu
lt
s
h
o
ws
th
e
im
a
g
e
4
(
d
)
h
av
i
n
g
m
o
r
e
leak
in
g
r
eg
io
n
s
th
an
o
t
h
e
r
s
.
I
m
ag
e
1
(
a
)
s
h
o
ws
n
o
lea
k
in
g
,
s
im
ilar
ly
th
e
im
a
g
es
2
(
b
)
an
d
im
a
g
e
3
(
c
)
s
h
o
win
g
less
an
d
m
o
d
er
ate
leak
in
g
r
esp
ec
tiv
ely
.
(
a)
(
b
)
(
c)
(
d
)
Fig
u
r
e
3
.
T
h
r
esh
o
ld
in
g
m
eth
o
d
o
f
im
a
g
es
4
.
3
.
E
rr
o
r
diff
us
io
n dither
Sam
e
im
ag
es
wer
e
also
u
s
ed
in
th
is
th
r
esh
o
ld
in
g
.
Af
ter
h
i
s
to
g
r
am
eq
u
aliza
tio
n
o
f
all
t
h
e
im
ag
es,
er
r
o
r
d
if
f
u
s
io
n
d
ith
er
th
r
esh
o
l
d
in
g
ap
p
lied
to
all
th
e
i
m
ag
es
an
d
th
e
r
esu
lts
ar
e
co
m
p
a
r
ab
le.
I
n
th
is
m
eth
o
d
,
th
e
ex
ac
t lo
ca
tio
n
o
f
th
e
leak
was id
en
tifie
d
.
I
m
ag
e
4
Fig
u
r
e
4
.
s
h
o
ws
m
o
r
e
leak
in
g
r
eg
io
n
th
an
o
th
e
r
im
ag
es.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
: 2
2
5
2
-
8
8
1
4
I
n
t J Ad
v
Ap
p
l Sci
,
Vo
l.
9
,
No
.
4
,
Dec
em
b
e
r
2
0
2
0
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–
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u
r
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r
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et
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Acc
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r
d
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g
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o
Fig
u
r
e
5
,
t
h
e
th
er
m
al
im
ag
e
(
a)
is
co
n
v
er
te
d
i
n
to
a
g
r
e
y
s
ca
le
im
ag
e,
an
d
th
e
in
ten
s
ity
o
f
th
e
im
ag
e
is
n
o
ted
(
b
)
.
T
h
e
g
r
ey
im
ag
e
h
as
u
n
d
er
g
o
n
e
f
iv
e
iter
atio
n
s
an
d
all
th
e
s
tag
e
s
ar
e
s
h
o
wn
in
(
c
)
.
Af
ter
iter
atio
n
,
th
e
Fig
.
u
r
e
p
r
o
ce
ed
s
with
th
e
m
o
r
p
h
o
lo
g
ical
p
r
o
ce
s
s
.
Fo
r
ex
tr
ac
tin
g
th
e
lea
k
ar
ea
,
th
e
iter
ated
im
ag
e
an
aly
s
es
with
th
e
m
o
r
p
h
o
lo
g
ical
p
r
o
ce
s
s
(
d
ilatio
n
an
d
er
o
s
io
n
)
(
d
)
.
T
h
e
le
a
k
lo
ca
ti
o
n
o
f
th
e
im
ag
e
is
ex
tr
ac
ted
an
d
it
is
in
co
r
p
o
r
ate
d
with
th
e
o
r
ig
in
al
im
ag
e
.
T
h
is
h
elp
s
to
id
en
tify
t
h
e
leak
l
o
ca
tio
n
with
o
u
t
an
ex
p
er
t'
s
ad
v
ice
(
e)
.
(
a)
(
b
)
(
c)
(
d
)
(
e)
Fig
u
r
e
5
.
Mo
r
p
h
o
lo
g
ical
f
u
n
ct
io
n
s
5.
CO
NCLU
SI
O
N
T
h
er
m
al
im
ag
es
ca
n
b
e
u
s
ed
to
id
en
tif
y
th
e
c
o
ld
air
leak
lo
ca
tio
n
o
f
co
l
d
s
to
r
ag
e
b
y
an
aly
zin
g
th
e
im
ag
es,
wh
ich
h
el
p
s
to
p
r
ed
ict
ea
r
ly
,
th
e
c
o
ld
air
leak
a
g
es
an
d
p
r
ev
e
n
t
f
u
r
th
er
en
e
r
g
y
lo
s
s
.
Fo
u
r
m
eth
o
d
s
h
av
e
b
ee
n
u
s
ed
f
o
r
th
e
th
er
m
al
im
ag
e
an
aly
s
is
.
I
t
is
o
b
s
er
v
ed
th
at
all
f
o
u
r
m
eth
o
d
s
ar
e
u
s
ef
u
l.
I
n
th
at,
th
e
h
is
to
g
r
a
m
m
et
h
o
d
h
elp
s
id
en
tify
in
g
a
leak
lo
ca
tio
n
.
Ho
wev
er
,
th
e
o
t
h
er
t
h
r
ee
m
eth
o
d
s
h
elp
i
n
e
x
tr
ac
tin
g
th
e
r
eg
i
o
n
o
f
in
ter
est
b
y
e
n
h
a
n
cin
g
t
h
e
leak
lo
ca
tio
n
.
I
n
f
u
t
u
r
e,
it
is
r
ec
o
m
m
en
d
e
d
th
at
th
e
an
aly
s
is
h
as
to
b
e
d
o
n
e
b
y
tak
in
g
im
ag
es
f
r
o
m
i
n
s
id
e
th
e
co
ld
s
to
r
ag
e
an
d
f
in
d
in
g
th
e
h
ea
t
tr
an
s
m
is
s
io
n
in
t
o
co
ld
s
to
r
ag
e
f
r
o
m
o
u
ts
id
e.
Mo
r
eo
v
er
,
im
a
g
e
cl
ass
if
icatio
n
alg
o
r
ith
m
s
h
o
u
ld
b
e
m
ad
e
f
o
r
d
etailed
a
n
al
y
s
is
an
d
im
p
r
o
v
e
th
e
ac
cu
r
ac
y
o
f
r
esu
lts
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ad
v
Ap
p
l Sci
I
SS
N:
2
2
5
2
-
8
8
1
4
A
p
p
lica
tio
n
o
f
th
erma
l ima
g
in
g
fo
r
d
etec
tin
g
co
l
d
a
ir
lea
k
lo
ca
tio
n
in
c
o
ld
s
to
r
a
g
e
(
P
.
P
a
t
h
ma
n
a
b
a
n
)
301
RE
F
E
R
E
NC
E
S
[1
]
Ba
rb
o
sa
-
Cá
n
o
v
a
s,
U.V.
,
F
e
r
n
á
n
d
e
z
-
M
o
l
in
a
,
J.
J.
,
Alz
a
m
o
ra
,
S
.
M
.
,
Tap
ia,
M
.
S
.
,
e
t
a
l
.
,
Ha
n
d
li
n
g
a
n
d
Pre
se
rv
a
ti
o
n
o
f
Fru
i
ts
a
n
d
Veg
e
t
a
b
les
b
y
Co
mb
i
n
e
d
M
e
t
h
o
d
s
fo
r R
u
ra
l
Are
a
s
,
Tec
h
n
ica
l
M
a
n
u
a
l
F
AO
Ag
ricu
lt
u
ra
l
S
e
rv
ice
s Bu
ll
e
ti
n
1
4
9
F
o
o
d
a
n
d
A
g
ricu
lt
u
re
Org
a
n
iza
ti
o
n
Of
Th
e
U
n
it
e
d
Na
ti
o
n
s R
o
m
e
,
2
0
0
3
.
[2
]
Tas
h
to
u
s
h
,
B.
“
Na
tu
ra
l
l
o
ss
e
s
fr
o
m
v
e
g
e
tab
le
a
n
d
fru
i
t
p
ro
d
u
c
ts
in
c
o
ld
sto
ra
g
e
,”
F
o
o
d
C
o
n
tr
o
l
,
v
o
l.
11
,
n
o
.
6
,
p
p
.
4
6
5
-
470
,
2
0
0
0
.
[3
]
Ch
e
n
,
P
.
,
Clela
n
d
,
D.J.
Lo
v
a
tt
,
S
.
J
.
,
Ba
ss
e
tt
,
M
.
R
“
Air
i
n
fil
trati
o
n
i
n
to
re
fri
g
e
ra
ted
sto
re
s
t
h
ro
u
g
h
ra
p
id
-
r
o
ll
d
o
o
rs
,”
Pro
c
.
o
f
th
e
2
0
t
h
I
n
ter
n
a
t
io
n
a
l
C
o
n
g
re
ss
o
f
Refrig
e
ra
t
io
n
,
p
p
.
19
-
24
,
S
y
d
n
e
y
,
A
u
stra
li
a
.
,
1
9
9
9
.
[4
]
Li
g
ten
b
u
r
g
,
P
.
J.J.H.
,
&
Wi
jffels.
D.J
.
“
In
n
o
v
a
ti
v
e
a
ir
c
u
rtain
s
fo
r
fro
z
e
n
fo
o
d
sto
re
s
,”
Pro
c
e
e
d
in
g
s
o
f
th
e
1
9
th
In
ter
n
a
t
io
n
a
l
C
o
n
g
re
ss
o
f
Refrig
e
ra
ti
o
n
,
p
p
.
420
-
4
3
7
h
tt
p
s:/
/www
.
re
se
a
rc
h
g
a
te.n
e
t/
p
u
b
li
c
a
ti
o
n
/
2
8
7
7
7
2
7
2
8
_
I
n
n
o
v
a
ti
v
e
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a
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c
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rtain
s
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fo
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d
_
sto
r
e
s
,
1
9
9
5
.
[5
]
F
o
ste
r,
A
.
,
Ba
rre
tt
,
R.
,
Ja
m
e
s,
S
.
,
&
S
wa
in
,
M
.
“
M
e
a
su
re
m
e
n
t
a
n
d
p
re
d
ictio
n
o
f
a
ir
m
o
v
e
m
e
n
t
th
r
o
u
g
h
d
o
o
rwa
y
s
in
re
frig
e
ra
ted
ro
o
m
s
,”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Refri
g
e
ra
ti
o
n
,
v
o
l.
25
,
n
o
.
8)
,
p
p
.
1
1
0
2
-
1
1
0
9
,
2
0
0
2
.
[6
]
Ev
a
n
s,
J.
A.,
Ha
m
m
o
n
d
,
E
.
C.
,
G
ig
iel,
A.
J.,
F
o
ste
ra
,
A.
M
.
,
Re
in
h
o
l
d
t,
L.
,
F
ik
i
in
,
K.
,
&
Zi
li
o
,
C.
“
As
se
s
sm
e
n
t
o
f
m
e
th
o
d
s
t
o
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d
u
c
e
t
h
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n
e
rg
y
c
o
n
su
m
p
ti
o
n
o
f
f
o
o
d
c
o
ld
sto
re
s
,”
Ap
p
li
e
d
T
h
e
rm
a
l
En
g
in
e
e
rin
g
,
v
o
l.
62
,
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o
.
2
)
,
p
p
.
6
9
7
-
705
,
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0
1
4
.
[7
]
Ti
a
n
,
S
.
,
S
h
a
o
,
S
.
,
&
Li
u
,
B.
“
In
v
e
stig
a
ti
o
n
o
n
tran
sie
n
t
e
n
e
rg
y
c
o
n
su
m
p
ti
o
n
o
f
c
o
l
d
sto
ra
g
e
s:
M
o
d
e
l
in
g
a
n
d
a
c
a
se
stu
d
y
,”
En
e
rg
y
,
v
o
l.
1
8
0
,
p
p
.
1
-
9
,
Au
g
2
0
1
9
.
[8
]
Wan
g
,
C.
,
He
,
Z.
,
Li
,
H.,
Wen
n
e
rste
rn
,
R.
,
&
S
u
n
,
Q.
“
Ev
a
lu
a
ti
o
n
o
n
P
e
rfo
rm
a
n
c
e
o
f
a
P
h
a
se
Ch
a
n
g
e
M
a
teria
l
Ba
se
d
Co
ld
S
to
ra
g
e
H
o
u
se
,”
E
n
e
rg
y
Pro
c
e
d
i
a
,
v
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l.
1
0
5
,
p
p
.
3
9
4
7
-
3
9
5
2
,
2
0
1
7
.
[9
]
Ja
d
in
,
M
.
S
.
,
&
Taib
,
S
.
“
Re
c
e
n
t
p
ro
g
re
ss
in
d
iag
n
o
si
n
g
t
h
e
re
li
a
b
il
it
y
o
f
e
lec
tri
c
a
l
e
q
u
ip
m
e
n
t
b
y
u
si
n
g
in
fra
re
d
th
e
rm
o
g
ra
p
h
y
,”
In
fra
re
d
Ph
y
sic
s
&
T
e
c
h
n
o
l
o
g
y
,
v
o
l.
5
5
,
n
o
.
4
,
p
p
.
2
3
6
-
2
4
5
,
2
0
1
2
.
[1
0
]
Du
a
n
,
Y.,
Hu
e
b
n
e
r,
S
.
,
Ha
ss
ler
,
U.,
Os
m
a
n
,
A.,
Ib
a
rra
-
Ca
sta
n
e
d
o
,
C.
,
&
M
a
ld
a
g
u
e
,
X.
P
.
V
.
“
Qu
a
n
ti
tativ
e
e
v
a
lu
a
ti
o
n
o
f
o
p
ti
c
a
l
lo
c
k
-
in
a
n
d
p
u
lse
d
th
e
rm
o
g
ra
p
h
y
fo
r
a
l
u
m
in
u
m
fo
a
m
m
a
teria
l
,”
In
fra
re
d
Ph
y
sic
s
&
T
e
c
h
n
o
l
o
g
y
,
v
o
l
.
6
0
,
p
p
.
2
7
5
-
2
8
0
,
2
0
1
3
.
[1
1
]
Om
a
r,
M
.
,
Ha
ss
a
n
,
M
.
I.
,
S
a
it
o
,
K.,
&
Allo
o
,
R.
“
IR
se
lf
-
re
fe
r
e
n
c
in
g
t
h
e
rm
o
g
ra
p
h
y
fo
r
d
e
tec
ti
o
n
o
f
i
n
-
d
e
p
t
h
d
e
fe
c
ts
,”
In
fra
re
d
P
h
y
sic
s &
T
e
c
h
n
o
l
o
g
y
,
v
o
l.
46
,
n
o
.
4
,
p
p
.
2
8
3
-
289
,
2
0
0
5
.
[1
2
]
Ag
g
e
li
s,
D.
G
.
,
Ko
r
d
a
to
s,
E.
Z.
,
S
o
u
l
io
ti
,
D.
V.,
&
M
a
ti
k
a
s,
T
.
E
.
“
Co
m
b
i
n
e
d
u
se
o
f
t
h
e
rm
o
g
ra
p
h
y
a
n
d
u
lt
ra
so
u
n
d
fo
r
th
e
c
h
a
ra
c
teriz
a
ti
o
n
o
f
su
b
su
rfa
c
e
c
ra
c
k
s
in
c
o
n
c
re
te
,”
Co
n
stru
c
ti
o
n
a
n
d
B
u
il
d
in
g
M
a
ter
ia
ls
,
v
o
l.
24
,
n
o
.
1
0
,
p
p
.
1
8
8
8
-
1
8
9
7
,
2
0
1
0
.
[1
3
]
Na
ti
o
n
a
l
H
o
rti
c
u
lt
u
re
B
o
a
rd
,
“
Tec
h
n
ica
l
S
ta
n
d
a
rd
s
a
n
d
p
r
o
t
o
c
o
l
fo
r
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h
e
c
o
l
d
c
h
a
in
in
In
d
ia,
Co
l
d
c
h
a
in
d
e
v
e
lo
p
m
e
n
t
c
e
n
tre,
”
In
d
ia.
h
tt
p
:/
/n
h
b
.
g
o
v
.
in
/
d
o
c
u
m
e
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ts/cs
2
.
p
d
f.
A
c
c
e
se
d
o
n
Ju
n
e
1
3
,
2
0
1
9
,
2
0
1
0
.
[1
4
]
Ak
d
e
m
ir.
S
.,
“
E
v
a
lu
a
ti
o
n
o
f
c
o
l
d
sto
ra
g
e
i
n
su
lati
o
n
b
y
t
h
e
rm
a
l
ima
g
e
s
a
n
a
ly
sis
,”
Bu
lg
.
J
.
Ag
ric
.
S
c
i
.,
v
o
l
.
2
0
,
p
p
.
2
4
6
-
254
,
2
0
1
4
.
[1
5
]
Ak
d
e
m
ir.
S
.
,
“
De
sig
n
i
n
g
o
f
Co
ld
S
to
re
s
a
n
d
C
h
o
o
sin
g
o
f
C
o
o
l
in
g
S
y
ste
m
El
e
m
e
n
ts,
”
J
o
u
rn
a
l
o
f
Ap
p
li
e
d
S
c
ien
c
e
s
,
v
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l.
8
,
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o
.
5
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p
p
.
8
7
8
8
-
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4
,
2
0
0
8
.
[1
6
]
Ku
m
a
r,
U.
S
.
,
&
S
u
d
h
a
rsa
n
,
N.
M
.
“
E
n
h
a
n
c
e
m
e
n
t
tec
h
n
iq
u
e
s
f
o
r
a
b
n
o
rm
a
li
ty
d
e
tec
ti
o
n
u
sin
g
t
h
e
rm
a
l
ima
g
e
,”
T
h
e
J
o
u
r
n
a
l
o
f
En
g
in
e
e
rin
g
,
v
o
l
.
5
,
p
p
.
2
7
9
-
2
8
3
,
2
0
1
8
.
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