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tr
ai
n
ed
u
s
i
n
g
th
e
s
tan
d
ar
d
m
et
h
o
d
o
v
en
d
r
y
i
n
g
(
A
ST
M
D2
4
9
5
-
0
7
)
m
eth
o
d
ca
lled
as
i
n
d
ep
en
d
en
t
m
o
is
t
u
r
e
s
y
s
te
m
(
I
MS)
.
T
h
e
r
esp
o
n
s
e
g
en
er
ated
b
y
A
ST
M
m
et
h
o
d
is
m
ap
p
ed
to
th
e
d
ev
elo
p
ed
s
y
s
te
m
ca
l
led
as
d
ep
en
d
en
t
m
o
i
s
tu
r
e
s
y
s
te
m
(
DM
S)
o
n
th
e
b
asis
o
f
d
if
f
er
e
n
t
t
y
p
es
o
f
co
tto
n
s
am
p
les.
T
h
e
ca
lib
r
atio
n
tr
an
s
f
er
b
et
w
ee
n
th
e
t
wo
s
y
s
te
m
h
as
b
ee
n
ca
r
r
ied
o
u
t
u
s
in
g
p
ar
tial
least
s
q
u
ar
e
(
P
L
S)
r
eg
r
ess
io
n
.
A
r
ti
f
icial
n
eu
r
al
n
et
w
o
r
k
(
ANN)
m
o
is
t
u
r
e
p
r
ed
ictio
n
m
o
d
el
s
w
er
e
d
ev
elo
p
ed
o
n
o
n
e
s
y
s
te
m
h
as
b
ee
n
tr
a
n
s
f
er
r
ed
to
o
th
er
u
s
in
g
ab
o
v
e
ca
lib
r
atio
n
tr
an
s
f
er
tech
n
iq
u
e.
2.
RE
S
E
ARCH
M
E
T
H
O
D
2
.
1
.
Sy
s
t
em
de
s
ig
n
T
h
e
r
ea
l
-
ti
m
e
co
tto
n
m
o
i
s
t
u
r
e
m
ea
s
u
r
e
m
e
n
t
s
y
s
te
m
is
d
iv
id
ed
in
to
t
w
o
p
ar
ts
,
f
ir
s
t
is
t
h
e
s
en
s
i
n
g
p
r
o
b
e
an
d
s
ec
o
n
d
is
i
ts
tr
a
n
s
m
itter
i
n
cl
u
d
in
g
d
i
s
p
la
y
u
n
it
as
s
h
o
w
n
in
Fi
g
u
r
e
1
(
a)
.
Fig
u
r
e
1
(
b
)
s
h
o
w
s
th
e
m
ea
s
u
r
e
m
e
n
t
o
f
co
tto
n
m
o
is
t
u
r
e
s
etu
p
:
i
t
in
clu
d
es
a
d
ig
ital
d
is
p
la
y
s
h
o
w
in
g
t
h
e
m
ea
s
u
r
ed
m
o
is
t
u
r
e
v
al
u
e,
t
h
e
co
n
tr
o
l
b
u
tto
n
s
(
C
AL
,
UP
,
a
n
d
DOW
N)
allo
w
f
o
r
ca
lib
r
atio
n
an
d
ad
j
u
s
t
m
e
n
ts
to
s
y
s
te
m
s
etti
n
g
,
lef
t
s
id
e
co
n
s
is
ts
o
f
p
o
w
er
s
u
p
p
l
y
m
o
d
u
le
th
at
s
u
p
p
lies
th
e
r
eq
u
ir
ed
DC
p
o
w
er
to
th
e
tr
an
s
m
itter
.
Fig
u
r
e
1
(
c)
s
h
o
w
s
th
e
ac
tu
al
m
ea
s
u
r
e
m
en
t
o
f
co
tto
n
m
o
is
tu
r
e
at
g
i
n
n
i
n
g
f
ac
to
r
y
.
W
h
e
n
co
tto
n
co
m
e
s
in
co
n
tact
w
it
h
th
e
t
wo
s
en
s
o
r
p
r
o
b
es
th
e
r
esis
tan
ce
b
et
w
ee
n
t
h
e
t
w
o
p
r
o
b
es
ch
an
g
es.
I
f
m
o
i
s
t
u
r
e
is
les
s
t
h
e
r
esi
s
tan
ce
i
s
m
o
r
e
a
n
d
th
e
co
n
s
ta
n
t
cu
r
r
e
n
t
f
lo
w
i
n
g
th
r
o
u
g
h
t
h
e
t
w
o
p
r
o
b
es
ch
an
g
e
s
.
I
f
co
tto
n
w
it
h
lo
w
m
o
is
t
u
r
e
co
m
e
s
b
et
w
ee
n
t
wo
p
r
o
b
es,
m
o
r
e
r
esis
tan
ce
is
s
e
en
an
d
th
e
r
esis
ta
n
ce
is
m
o
r
e
if
co
tto
n
w
it
h
les
s
m
o
is
t
u
r
e.
T
h
e
s
elf
-
w
ei
g
h
t
o
f
s
en
s
in
g
p
r
o
b
e
is
al
w
a
y
s
ac
t
in
th
e
f
lo
w
i
n
g
co
tto
n
to
m
ain
tai
n
t
h
e
p
r
ess
u
r
e,
as
p
r
ess
u
r
e
v
a
r
iatio
n
s
a
f
f
ec
ts
t
h
e
r
esis
ta
n
ce
v
al
u
es
an
d
s
h
o
w
s
v
ar
iab
le
m
o
is
t
u
r
e
co
n
ten
t.
T
h
e
s
y
s
te
m
w
o
r
k
s
o
n
3
.
3
DC
,
4
m
A
.
T
h
e
co
tto
n
s
a
m
p
les
ar
e
p
ass
i
n
g
o
n
th
e
s
u
r
f
ac
e
o
f
th
e
t
w
o
p
ar
allel
co
n
d
u
cto
r
.
T
h
e
a
m
o
u
n
t
o
f
c
u
r
r
en
t
f
lo
w
in
g
t
h
r
o
u
g
h
co
n
d
u
cto
r
is
d
ir
ec
tl
y
p
r
o
p
o
r
t
i
o
n
al
to
th
e
co
n
d
u
cti
v
it
y
d
u
e
to
w
a
ter
co
n
tain
ed
in
t
h
e
c
o
tto
n
,
f
u
r
t
h
er
,
th
i
s
cu
r
r
en
t
is
co
n
v
er
ted
to
p
er
ce
n
tag
e
m
o
i
s
tu
r
e
i
n
th
e
co
tto
n
.
Acc
o
r
d
in
g
l
y
,
a
f
ter
s
ca
n
n
i
n
g
o
f
ea
ch
co
tto
n
s
a
m
p
le
,
o
u
tp
u
t
is
g
e
n
er
ated
,
an
d
th
e
d
ata
is
ca
p
tu
r
ed
in
s
ep
ar
ate
co
n
tr
o
llin
g
d
ev
ice
s
,
i.e
.
,
d
ata
co
m
m
u
n
icato
r
s
o
r
P
L
C
co
n
tr
o
l
u
n
it
s
w
i
th
i
n
b
u
ilt
m
e
m
o
r
y
.
T
h
e
Am
er
ica
n
s
o
ciet
y
f
o
r
test
in
g
an
d
m
ater
ial
s
(
A
S
T
M
)
D2
4
9
5
-
0
7
is
a
s
tan
d
ar
d
m
et
h
o
d
f
o
r
m
o
is
t
u
r
e
d
etec
tio
n
in
co
tto
n
.
T
h
is
m
e
t
h
o
d
is
u
s
ed
to
d
eter
m
i
n
e
th
e
m
o
is
t
u
r
e
co
n
te
n
t
o
f
co
tt
o
n
b
y
d
r
y
i
n
g
a
s
a
m
p
le
in
an
o
v
en
a
n
d
m
ea
s
u
r
in
g
th
e
w
ei
g
h
t
lo
s
s
.
I
n
th
is
m
et
h
o
d
a
co
tto
n
s
a
m
p
le
i
s
w
ei
g
h
ted
t
h
en
t
h
e
s
a
m
p
le
i
s
d
r
ied
in
a
n
o
v
e
n
at
a
s
p
ec
if
ied
t
e
m
p
er
atu
r
e
(
u
s
u
all
y
1
0
5
°C
to
1
1
0
°C
)
[
1
1
]
u
n
ti
l
it r
ea
ch
es a
co
n
s
tan
t
w
e
ig
h
t.
T
h
e
d
r
ied
s
a
m
p
le
i
s
w
ei
g
h
ed
ag
ain
.
T
h
e
m
o
is
t
u
r
e
co
n
ten
t
is
ca
lc
u
lated
b
ased
o
n
th
e
w
ei
g
h
t
lo
s
s
d
u
r
in
g
d
r
y
i
n
g
[
1
2
]
.
T
h
e
m
o
is
t
u
r
e
o
f
co
tto
n
s
a
m
p
le
is
m
ea
s
u
r
ed
with
d
ev
e
lo
p
ed
s
y
s
te
m
a
n
d
r
es
is
tan
ce
v
al
u
es
ar
e
s
to
r
ed
f
o
r
th
e
co
r
r
esp
o
n
d
in
g
m
o
is
t
u
r
e
th
e
n
t
h
e
s
a
m
e
co
tto
n
s
a
m
p
le
tes
ted
u
s
i
n
g
o
v
e
n
d
r
y
i
n
g
m
et
h
o
d
an
d
m
o
is
t
u
r
e
is
s
to
r
ed
.
2.
2
.
Da
t
a
a
na
ly
s
is
T
o
s
tu
d
y
th
e
s
e
lecti
v
it
y
a
n
d
s
en
s
i
tiv
i
t
y
o
f
t
h
e
d
ev
elo
p
ed
s
y
s
te
m
a
n
d
f
o
r
th
e
d
ev
elo
p
m
en
t
o
f
a
c
alib
r
atio
n
tr
an
s
f
er
m
o
d
el
b
etw
ee
n
t
h
e
d
ev
elo
p
ed
s
y
s
te
m
a
n
d
o
v
en
d
r
y
i
n
g
(
AST
M
D2
4
9
5
-
0
7
)
m
et
h
o
d
,
th
e
co
tto
n
s
a
m
p
le
s
w
er
e
co
n
s
id
er
e
d
w
h
ich
w
er
e
an
a
l
y
ze
d
b
y
t
h
e
d
ev
elo
p
ed
s
y
s
te
m
an
d
o
v
e
n
d
r
y
in
g
m
et
h
o
d
.
2
.
2
.
1
.
Co
t
t
o
n
s
a
m
p
les
a
na
ly
s
is
us
i
ng
hiera
rc
hica
l
clus
t
er
i
ng
a
na
ly
s
is
a
nd
lin
ea
r
di
s
cr
i
m
i
na
nt
a
na
ly
s
is
T
h
e
s
elec
tiv
it
y
s
tu
d
y
o
f
th
e
mo
is
t
u
r
e
m
ea
s
u
r
e
m
e
n
t
s
y
s
te
m
w
a
s
d
o
n
e
w
it
h
h
ier
ar
ch
ica
l
clu
s
ter
in
g
an
al
y
s
is
(
HC
A
)
a
n
d
lin
ea
r
d
is
cr
i
m
i
n
an
t
an
al
y
s
is
(
LD
A
)
.
C
lu
s
ter
in
g
p
la
y
s
a
p
i
v
o
tal
r
o
le
in
ex
ac
t
in
g
m
ea
n
in
g
f
u
l
i
n
s
i
g
h
ts
f
r
o
m
lar
g
e
d
ataset
s
aid
i
n
g
in
th
e
d
ec
is
io
n
-
m
ak
i
n
g
p
r
o
ce
s
s
[
1
3
]
.
HC
A
i
s
a
cl
u
s
ter
i
n
g
tech
n
iq
u
e
t
h
at
co
n
s
tr
u
cts
a
h
ier
ar
ch
ical
tr
ee
,
o
r
d
en
d
r
o
g
r
am
,
to
r
ep
r
esen
t
th
e
r
elatio
n
s
h
ip
s
a
m
o
n
g
o
b
j
ec
ts
b
ein
g
cl
u
s
ter
ed
[
1
4
]
.
T
h
is
tr
ee
illu
s
tr
ates
h
o
w
o
b
j
ec
ts
ar
e
g
r
o
u
p
ed
to
g
et
h
er
at
v
ar
io
u
s
l
ev
els
o
f
s
i
m
ilar
it
y
,
p
r
o
v
id
in
g
a
v
i
s
u
al
r
ep
r
esen
t
a
tio
n
o
f
th
e
cl
u
s
ter
i
n
g
p
r
o
ce
s
s
an
d
th
e
s
tr
u
ct
u
r
e
o
f
th
e
d
ata
.
T
h
e
f
u
n
d
a
m
e
n
ta
l
co
n
ce
p
t
b
eh
i
n
d
HC
A
clu
s
ter
i
n
g
is
a
n
i
ter
ativ
e
p
r
o
ce
s
s
w
h
e
r
e
d
ata
p
o
in
ts
ar
e
g
r
o
u
p
ed
in
t
o
clu
s
ter
s
b
ased
o
n
th
eir
clo
s
en
e
s
s
to
t
h
e
o
th
er
c
lu
s
ter
[
1
5
]
.
T
h
e
d
is
tan
ce
b
et
w
ee
n
t
w
o
clu
s
ter
s
i
s
ca
lcu
la
t
ed
u
s
in
g
E
u
clid
ea
n
d
is
tan
ce
.
Dis
ta
n
ce
m
ea
s
u
r
es
ar
e
u
s
ed
to
q
u
an
ti
f
y
t
h
e
s
i
m
i
lar
it
y
o
r
d
is
s
i
m
ilar
it
y
b
et
w
ee
n
t
w
o
d
ata
p
o
in
ts
.
T
h
ese
m
ea
s
u
r
e
s
p
la
y
a
cr
itical
r
o
le
in
s
h
ap
in
g
t
h
e
clu
s
ter
s
[
1
6
]
,
as
th
ey
i
n
f
l
u
e
n
ce
h
o
w
d
ata
p
o
in
ts
ar
e
g
r
o
u
p
ed
to
g
eth
er
b
ased
o
n
th
eir
p
r
o
x
im
it
y
o
r
s
i
m
ilar
it
y
in
t
h
e
f
ea
t
u
r
e
s
p
ac
e.
T
h
e
iter
ativ
e
p
r
o
ce
s
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I
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I
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2
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3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
3
.
1
.
Ca
lib
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t
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s
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lib
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3
.
1
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1
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[
1
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]
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[
2
0
]
.
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co
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AST
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4
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ased
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s
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r
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r
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icie
n
t
s
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o
w
s
m
o
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an
0
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n
d
icate
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.
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I
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t J
R
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4864
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Fig
u
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4
.
Mo
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tu
r
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p
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an
d
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lib
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2
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a
t
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ho
ds
3
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2
.
1
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v
a
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t
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ra
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er
s
f
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r
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tili
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k
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it
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r
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io
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to
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et
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in
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t
h
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y
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m
's
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p
ab
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y
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T
h
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in
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s
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is
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t
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q
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s
f
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r
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l
y
r
ep
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ted
in
[
21
].
T
a
b
le
1
s
h
o
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s
th
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s
tati
s
tical
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ar
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0
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.
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e
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th
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t
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h
ig
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r
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[
2
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]
.
Fig
u
r
e
5
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h
o
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t
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ed
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th
e
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pred
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
9
-
4864
I
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t J
R
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o
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f
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g
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ab
le
&
E
m
b
ed
d
ed
Sy
s
t
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l.
14
,
No
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3
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v
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m
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5
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95
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th
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d
ar
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p
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icted
v
alu
e
s
a
f
ter
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lib
r
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n
a
n
d
S
obs
is
th
e
s
ta
n
d
ar
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d
ev
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f
o
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lib
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n
.
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s
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p
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m
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g
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d
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o
s
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[
2
3
]
.
R
2
is
u
s
ed
to
d
eter
m
i
n
e
th
e
s
ig
n
i
f
ica
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o
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r
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eq
u
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.
Fig
u
r
e
5
.
S
tep
s
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ed
i
n
ca
lib
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tr
an
s
f
er
3
.
3
.
M
o
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t
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predict
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del
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t
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la
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f
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r
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et
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k
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y
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k
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p
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ag
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o
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ith
m
w
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d
ev
elo
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ed
to
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e
d
ict
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is
t
u
r
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co
n
ce
n
tr
atio
n
f
r
o
m
co
tto
n
s
a
m
p
les
[
2
4
]
.
T
h
e
p
r
ed
ictio
n
w
as
d
o
n
e
f
o
r
4
t
y
p
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f
co
tto
n
s
a
m
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le
s
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s
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n
g
4
0
0
d
ata
s
a
m
p
les.
D
u
r
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n
g
th
e
e
v
al
u
a
tio
n
o
f
t
h
e
p
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m
o
d
el
d
ata
s
a
m
p
les
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er
e
d
iv
id
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in
to
tr
ain
in
g
(
6
0
%),
v
alid
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2
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,
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d
test
in
g
(
2
0
%).
T
h
e
p
a
r
am
eter
s
o
f
ea
ch
A
NN
m
o
d
el
co
n
s
is
ted
o
f
7
n
eu
r
o
n
s
in
t
h
e
i
n
p
u
t la
y
er
,
14
n
eu
r
o
n
s
i
n
t
h
e
h
id
d
en
la
y
er
,
an
d
1
n
eu
r
o
n
i
n
t
h
e
o
u
tp
u
t la
y
er
.
T
h
e
ca
lib
r
atio
n
tr
an
s
f
er
p
r
o
j
e
ctio
n
s
attai
n
ed
af
ter
ap
p
licatio
n
o
f
P
L
S
r
eg
r
ess
io
n
w
er
e
ap
p
lied
to
DM
S
s
y
s
te
m
d
u
r
in
g
t
h
e
test
in
g
o
f
co
tto
n
s
a
m
p
les
b
y
DM
S.
T
h
ese
d
ata
s
ets
o
f
DM
S
s
y
s
te
m
w
er
e
t
h
en
test
ed
u
s
i
n
g
t
h
e
s
a
m
e
A
NN
m
o
d
el
d
ev
elo
p
ed
f
o
r
I
MS
s
y
s
te
m
.
T
h
e
A
N
N
m
o
d
els
in
th
e
te
s
ti
n
g
p
h
ase
w
er
e
f
ed
w
ith
DM
S
d
ata
s
et
b
ef
o
r
e
an
d
af
ter
ap
p
licatio
n
o
f
ca
lib
r
atio
n
tr
an
s
f
er
m
o
d
el.
Fi
g
u
r
e
4
r
ep
r
esen
ts
th
e
p
r
ed
ictio
n
o
f
co
tto
n
m
o
is
tu
r
e
f
o
r
4
d
if
f
er
e
n
t
t
y
p
es b
y
a
d
e
v
elo
p
e
d
m
o
is
t
u
r
e
m
ea
s
u
r
e
m
e
n
t
s
y
s
te
m
.
Fro
m
Fig
u
r
e
4
th
e
s
y
s
te
m
co
u
ld
ap
p
r
o
x
im
a
tel
y
p
r
ed
ict
t
h
e
m
o
i
s
tu
r
e
co
n
ce
n
tr
atio
n
.
R
o
o
t
m
ea
n
s
q
u
ar
e
er
r
o
r
(
R
MSE
)
an
d
m
ea
n
ab
s
o
lu
te
r
elati
v
e
er
r
o
r
(
MA
R
E
)
[
2
5
]
w
a
s
ca
lcu
lated
to
ev
alu
a
te
th
e
p
er
f
o
r
m
an
ce
o
f
ANN
m
o
d
el
ap
p
lied
m
o
is
tu
r
e
s
y
s
te
m
.
A
s
p
er
T
ab
le
2
,
it
ca
n
b
e
s
ee
n
th
at
th
er
e
is
a
s
ig
n
i
f
ica
n
t
r
ed
u
ctio
n
o
f
R
M
SE
an
d
M
AR
E
v
a
lu
e
s
a
f
ter
t
h
e
ap
p
licatio
n
o
f
t
h
e
ca
lib
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ati
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n
tr
an
s
f
er
m
o
d
el.
T
h
e
d
r
o
p
in
R
MSE
co
n
f
ir
m
s
th
at
t
h
e
ca
lib
r
atio
n
tr
an
s
f
er
m
o
d
el
ef
f
ec
ti
v
el
y
co
m
p
e
n
s
ate
s
f
o
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th
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d
i
f
f
er
en
ce
s
b
et
w
ee
n
I
MS
an
d
DM
S
s
y
s
te
m
s
,
i
m
p
r
o
v
in
g
p
r
ed
ictio
n
r
eliab
ilit
y
an
d
en
ab
li
n
g
r
e
u
s
e
o
f
th
e
ex
i
s
ti
n
g
m
o
d
el
w
it
h
o
u
t
f
u
ll
r
etr
ain
i
n
g
.
A
b
ett
er
te
ch
n
iq
u
e
g
iv
e
s
a
v
al
u
e
o
f
MA
E
c
lo
s
e
to
0
af
ter
t
h
e
ap
p
licatio
n
o
f
m
o
d
el.
MA
E
q
u
an
tifie
s
t
h
e
a
v
er
ag
e
m
a
g
n
i
tu
d
e
o
f
t
h
e
ab
s
o
lu
te
d
if
f
er
e
n
ce
s
b
et
w
ee
n
p
r
ed
icte
d
v
alu
e
s
a
n
d
ac
tu
al
o
b
s
er
v
atio
n
s
,
w
i
th
o
u
t
co
n
s
id
er
in
g
t
h
e
d
ir
ec
tio
n
o
f
t
h
e
er
r
o
r
s
.
R
MSE
r
ef
lect
s
:
i
)
ho
w
clo
s
e
th
e
m
o
d
el’
s
p
r
ed
ictio
n
s
ar
e
to
th
e
ac
t
u
al
v
alu
e
s
,
ii
)
p
en
al
izes
lar
g
e
er
r
o
r
s
m
o
r
e
th
a
n
s
m
all
o
n
es
(
d
u
e
to
s
q
u
ar
in
g
)
,
an
d
iii
)
a
l
o
w
er
R
M
SE
i
n
d
icate
s
a
b
etter
-
f
itti
n
g
ca
lib
r
atio
n
m
o
d
el.
M
AR
E
i
n
d
icate
s
:
i
)
t
h
e
a
v
er
ag
e
r
elati
v
e
d
ev
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n
b
et
w
ee
n
p
r
ed
ictio
n
s
an
d
tr
u
e
v
alu
e
s
,
ii
)
is
u
s
e
f
u
l
to
u
n
d
er
s
ta
n
d
er
r
o
r
in
p
r
o
p
o
r
tio
n
to
th
e
ac
t
u
al
v
alu
e
,
a
n
d
iii
)
lo
w
v
al
u
e
s
h
o
w
s
co
n
s
i
s
ten
c
y
p
er
f
o
r
m
ed
b
y
m
o
d
el
.
T
h
is
r
ep
r
esen
ts
th
e
s
ig
n
if
ican
ce
o
f
t
h
e
p
r
ed
ictio
n
f
o
r
th
e
m
o
is
tu
r
e
m
e
asu
r
e
m
en
t
s
y
s
te
m
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
I
SS
N:
2089
-
4864
C
a
lib
r
a
tio
n
a
n
d
mea
s
u
r
eme
n
t
o
f c
o
tto
n
mo
is
tu
r
e
u
s
in
g
r
ea
l t
ime
s
ystem
…
(
S
u
yo
g
P
u
n
d
likr
a
o
Ju
n
g
a
r
e
)
693
T
ab
le
2
.
R
MSE
,
MA
R
E
,
a
n
d
MA
E
o
f
f
o
u
r
A
N
N
m
o
d
el
P
a
r
a
me
t
e
r
D
r
y
W
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t
N
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w
O
l
d
R
M
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(
b
e
f
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r
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)
0
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6
4
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1
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5
6
2
0
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9
7
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2
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4
5
7
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M
S
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(
a
f
t
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r
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0
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3
5
4
6
0
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9
4
5
6
0
.
7
8
4
1
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1
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A
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E
(
b
e
f
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r
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1
9
1
2
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1
4
5
0
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5
2
4
0
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9
8
7
M
A
R
E
(
a
f
t
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4
1
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0
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2
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4
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6
7
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(
a
f
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2
3
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0
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9
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1
R
M
SE
=
[
∑
(
−
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2
i
=
N
i
=
0
N
]
−
2
(
3
)
M
A
R
E
=
∑
|
−
|
i
=
N
i
=
0
N
(
4
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=
∑
|
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i
−
i
|
i
=
N
i
=
0
N
(
5
)
W
h
er
e
P
is
m
o
i
s
tu
r
e
b
e
f
o
r
e/af
ter
ca
lib
r
atio
n
,
A
is
ac
tu
a
l
co
n
ce
n
tr
atio
n
m
ea
s
u
r
ed
b
y
AST
M
m
et
h
o
d
,
an
d
N
i
s
th
e
n
u
m
b
er
o
f
co
tto
n
s
a
m
p
les.
4.
CO
NCLU
SI
O
N
T
h
e
o
b
j
ec
tiv
e
o
f
t
h
is
s
t
u
d
y
i
s
to
d
ev
elo
p
a
co
tto
n
m
o
i
s
t
u
r
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m
ea
s
u
r
e
m
en
t
s
y
s
te
m
a
n
d
t
h
e
r
esu
lt
s
o
f
th
e
s
y
s
te
m
w
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e
ca
lib
r
ated
w
it
h
t
h
e
s
ta
n
d
ar
d
m
et
h
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d
s
AST
M
D2
4
9
5
-
0
7
.
Fo
u
r
d
if
f
er
en
t
t
y
p
es
o
f
co
tto
n
s
a
m
p
les
w
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u
s
ed
i
n
th
i
s
s
t
u
d
y
,
i.e
.
d
r
y
,
w
et,
n
e
w
,
an
d
o
l
d
.
T
h
e
co
tto
n
m
o
i
s
t
u
r
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m
ea
s
u
r
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m
en
t s
y
s
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m
w
o
r
k
ed
o
n
th
e
p
r
in
cip
le
o
f
th
e
r
esis
tan
ce
ch
an
g
e
tec
h
n
iq
u
e.
I
n
itiall
y
,
th
e
s
elec
tiv
i
t
y
an
d
s
e
n
s
iti
v
it
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o
f
th
e
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y
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m
w
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m
in
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u
s
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m
u
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ar
iate
an
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y
s
is
m
et
h
o
d
s
lik
e
H
C
A
an
d
L
D
A
,
L
D
A
h
av
i
n
g
a
v
ar
ia
n
ce
o
f
8
5
%.
A
l
s
o
,
th
e
HC
A
r
esu
lts
s
h
o
w
t
h
at
t
h
e
s
y
s
te
m
i
s
ab
le
to
class
i
f
y
th
e
f
o
u
r
t
y
p
e
s
o
f
co
tto
n
.
P
L
S
r
e
g
r
ess
io
n
w
a
s
u
s
ed
f
o
r
ca
lib
r
atio
n
tr
an
s
f
er
b
et
w
ee
n
t
h
e
d
ev
elo
p
ed
co
tto
n
m
o
is
t
u
r
e
m
ea
s
u
r
e
m
e
n
t
s
y
s
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m
(
DM
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an
d
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[
1
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.
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n
20
1
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[
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4
]
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sse
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5
]
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.
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,
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f
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6
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[
1
6
]
I
.
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o
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man
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c
,
R
.
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,
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d
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l
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c
l
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i
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s:
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a
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p
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Pr
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[
1
7
]
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.
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.
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.
,
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.
[
1
8
]
E.
I
.
G
.
N
a
ssara
,
E
.
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r
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M
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.
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,
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m
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s fo
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:
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,
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.
[
1
9
]
A
.
J.
A
sh
w
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,
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.
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.
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l
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.
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S
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.
[
2
0
]
A
.
D
u
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a
n
d
,
O
.
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v
o
s,
C
.
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,
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d
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.
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.
H
u
v
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n
e
,
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e
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t
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m
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t
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mi
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t
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s,”
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[
2
1
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T
.
P
.
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a
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,
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sh
mu
k
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,
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sh
mu
k
h
,
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c
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c
t
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me
t
h
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d
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l
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g
y
,”
Me
a
s
u
remen
t
S
c
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T
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.
[
2
2
]
N
.
K
u
mar,
“
F
-
t
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a
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n
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l
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A
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A
)
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mi
c
s
,
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k
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sys
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t
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Evaluation Warning : The document was created with Spire.PDF for Python.