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cc
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8
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2
5
T
h
e
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c
ti
o
n
o
f
a
n
a
p
p
r
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p
riate
Ja
v
a
S
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rip
t
f
ra
m
e
w
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w
e
b
-
b
a
se
d
so
f
t
w
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re
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e
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d
s
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w
h
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e
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n
f
ra
m
e
w
o
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is
in
c
o
m
p
a
ti
b
le
w
it
h
th
e
d
e
sig
n
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h
e
a
b
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y
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m
a
k
e
d
e
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isio
n
s
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ick
ly
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a
c
c
u
ra
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y
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a
n
d
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ise
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y
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e
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k
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fa
c
to
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c
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e
ss
f
u
l
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f
t
w
a
re
d
e
sig
n
.
A
d
d
re
ss
in
g
th
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n
e
e
d
,
t
h
e
p
re
se
n
t
stu
d
y
a
n
a
l
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z
e
s
th
e
a
c
c
u
ra
c
y
o
f
th
e
a
n
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ly
ti
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a
l
h
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rc
h
y
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ro
c
e
ss
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ig
h
t
p
ro
d
u
c
t
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HP
-
W
P
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,
a
n
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ly
ti
c
a
l
h
iera
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h
y
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ro
c
e
ss
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tec
h
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e
f
o
r
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r
d
e
r
p
re
f
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n
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e
b
y
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m
il
a
rit
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e
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l
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ti
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HP
-
T
OP
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,
a
n
d
a
n
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ly
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l
h
iera
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ro
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e
ss
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si
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p
le
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lt
i
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a
tt
rib
u
te
ra
ti
n
g
tec
h
n
iq
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e
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A
HP
-
S
M
A
RT
)
m
e
t
h
o
d
s
in
d
e
term
in
in
g
th
e
m
o
s
t
su
it
a
b
le
Ja
v
a
S
c
rip
t
f
ra
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e
w
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rk
a
c
c
o
rd
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g
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tern
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l
Org
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iz
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ti
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r
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IS
O)
9
1
2
6
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las
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o
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v
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lu
a
te
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c
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ra
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e
m
e
a
n
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tag
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A
P
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w
a
s
a
p
p
li
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d
a
s
a
c
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st
f
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m
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su
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tag
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o
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a
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m
e
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d
.
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h
e
a
n
a
ly
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s
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n
d
u
c
t
e
d
o
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ten
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u
lar
Ja
v
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S
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rip
t
f
ra
m
e
w
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s
s
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lec
ted
b
a
se
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th
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ir
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lari
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n
d
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sa
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a
ti
o
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c
o
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si
d
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re
d
six
q
u
a
li
ty
c
rit
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ria:
f
u
n
c
ti
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a
li
ty
,
re
li
a
b
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it
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u
sa
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il
it
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e
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icie
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m
a
in
tain
a
b
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it
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a
n
d
p
o
rtab
il
it
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h
e
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lt
s
sh
o
w
th
e
ra
n
k
in
g
o
f
e
a
c
h
a
lt
e
rn
a
ti
v
e
f
o
r
a
ll
m
e
th
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d
s.
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c
c
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ra
c
y
m
e
a
su
re
m
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n
t
u
sin
g
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P
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v
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led
t
h
a
t
th
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HP
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m
e
th
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d
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c
e
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th
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ll
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(3
7
.
7
7
6
4
5
%
),
c
o
m
p
a
re
d
to
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HP
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T
OPS
IS
(
4
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1
2
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6
6
%
)
a
n
d
A
HP
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S
M
A
RT
(4
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4
1
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).
A
c
c
o
rd
in
g
ly
,
th
e
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W
P
m
e
th
o
d
is
re
c
o
m
m
e
n
d
e
d
f
o
r
d
e
c
isio
n
s
u
p
p
o
r
t
sy
st
e
m
(DSS
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d
e
v
e
lo
p
m
e
n
t.
K
ey
w
o
r
d
s
:
A
HP
-
SM
AR
T
m
et
h
o
d
A
HP
-
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OP
SIS
m
et
h
o
d
A
HP
-
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P
m
et
h
o
d
Dec
is
io
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s
u
p
p
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t s
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s
te
m
J
av
aScr
ip
t f
r
a
m
e
w
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r
k
T
h
is i
s
a
n
o
p
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n
a
c
c
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ss
a
rticle
u
n
d
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r th
e
CC B
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-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
R
o
f
i
f
Ag
h
n
a
Fa
k
h
r
i D
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a
Ma
s
ter
o
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I
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f
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m
atic
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St
u
d
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P
r
o
g
r
a
m
,
Facu
l
t
y
o
f
Scie
n
ce
an
d
T
ec
h
n
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lo
g
y
Su
n
an
Ka
lij
ag
a
State
I
s
la
m
ic
Un
i
v
er
s
it
y
Yo
g
y
a
k
ar
ta
St.
L
a
k
s
d
a
A
d
is
u
cip
to
,
5
5
2
8
1
,
Sle
m
a
n
,
Dae
r
ah
I
s
ti
m
e
w
a
Yo
g
y
a
k
ar
ta
,
I
n
d
o
n
es
ia
E
m
ail:
r
o
f
i
f
.
a
g
h
n
a
f
@
g
m
ail.
co
m
1.
I
NT
RO
D
UCT
I
O
N
I
n
in
f
o
r
m
atio
n
tec
h
n
o
lo
g
y
,
d
ec
is
io
n
s
u
p
p
o
r
t
s
y
s
te
m
s
(
DSS)
s
er
v
e
as
a
b
r
i
d
g
e
b
etw
ee
n
in
f
o
r
m
atio
n
s
y
s
te
m
s
an
d
m
ac
h
i
n
e
lear
n
i
n
g
.
T
h
e
ab
ilit
y
to
m
a
k
e
d
ec
is
io
n
s
q
u
ick
l
y
,
ac
cu
r
atel
y
,
an
d
p
r
ec
is
el
y
i
s
ess
e
n
tial
i
n
d
eter
m
in
i
n
g
th
e
ap
p
r
o
p
r
iate
c
o
u
r
s
e
o
f
ac
tio
n
[
1
]
.
H
o
w
ev
er
,
th
e
av
ailab
ilit
y
o
f
lar
g
e
a
m
o
u
n
t
s
o
f
in
f
o
r
m
atio
n
an
d
d
ata
alo
n
e
is
n
o
t
s
u
f
f
ic
ien
t
f
o
r
ef
f
ec
tiv
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d
ec
is
io
n
m
ak
in
g
;
t
h
e
ab
ilit
y
to
an
al
y
ze
th
is
i
n
f
o
r
m
atio
n
ef
f
icien
tl
y
r
e
m
ai
n
s
cr
u
cial
[
2
]
,
[
3
]
.
T
o
en
s
u
r
e
r
eliab
le
o
u
t
co
m
e
s
,
it
is
n
ec
es
s
ar
y
to
e
s
t
ab
l
is
h
clea
r
cr
iter
ia
b
ef
o
r
e
ev
alu
a
tin
g
v
ar
io
u
s
al
ter
n
ati
v
es.
E
ac
h
cr
iter
io
n
m
u
s
t
ad
d
r
ess
th
e
f
u
n
d
a
m
e
n
tal
q
u
esti
o
n
o
f
h
o
w
ef
f
ec
tiv
e
l
y
a
n
alter
n
at
iv
e
s
o
lv
es th
e
p
r
o
b
le
m
at
h
a
n
d
[
4
]
,
[
5
]
.
A
DS
S
is
an
in
f
o
r
m
atio
n
s
y
s
te
m
th
at
p
r
o
v
id
es
ac
ce
s
s
to
r
elev
an
t
in
f
o
r
m
a
tio
n
an
d
f
ac
ili
tates
d
ata
m
o
d
eli
n
g
an
d
m
an
ip
u
latio
n
[
6
]
-
[
8
]
.
A
DSS
ca
n
b
e
ap
p
lied
in
b
o
th
s
tr
u
c
tu
r
ed
an
d
u
n
s
tr
u
ctu
r
ed
d
ec
is
io
n
-
m
ak
in
g
s
ce
n
ar
io
s
,
w
h
er
e
id
en
tify
i
n
g
th
e
m
o
s
t
ap
p
r
o
p
r
iate
s
o
lu
tio
n
m
a
y
b
e
ch
a
llen
g
i
n
g
[
9
]
,
[
1
0
]
W
ith
in
t
h
i
s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6930
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
,
Vo
l.
24
,
No
.
1
,
Feb
r
u
ar
y
20
26
:
95
-
1
10
96
s
co
p
e,
a
DSS
f
u
n
ct
io
n
s
as
a
to
o
l
th
at
as
s
is
t
s
d
ec
is
io
n
m
a
k
er
s
in
s
e
lecti
n
g
t
h
e
b
est
a
lter
n
ati
v
e
to
ad
d
r
ess
a
g
iv
e
n
p
r
o
b
le
m
[
6
]
.
Var
io
u
s
D
SS
m
et
h
o
d
s
ex
i
s
t,
ea
c
h
w
it
h
d
is
tin
ct
ch
ar
ac
ter
is
tics
a
n
d
a
n
al
y
tical
ap
p
r
o
ac
h
es.
C
o
m
m
o
n
l
y
u
s
ed
m
eth
o
d
s
i
n
cl
u
d
e
an
al
y
tical
h
ier
ar
ch
y
p
r
o
ce
s
s
(
A
HP
)
,
s
i
m
p
le
m
u
lti
-
attr
ib
u
te
r
atin
g
tech
n
iq
u
e
(
SMART
)
,
w
ei
g
h
t p
r
o
d
u
ct
(
W
P
)
,
an
d
tech
n
iq
u
e
f
o
r
o
r
d
er
p
r
ef
er
en
ce
b
y
s
i
m
ilar
it
y
to
id
ea
l
s
o
lu
tio
n
(
T
OP
SIS
)
,
a
m
o
n
g
o
th
er
s
[
1
1
]
.
I
n
p
r
ac
tice,
DSS
ar
e
w
id
el
y
ap
p
lied
in
v
ar
io
u
s
r
ea
l
-
li
f
e
co
n
tex
ts
[
1
2
]
.
On
e
s
u
c
h
ap
p
licatio
n
is
in
s
elec
ti
n
g
t
h
e
ap
p
r
o
p
r
iate
f
r
am
e
w
o
r
k
f
o
r
w
eb
-
b
a
s
ed
s
o
f
t
w
ar
e
d
ev
elo
p
m
e
n
t,
w
h
er
e
DSS
ca
n
h
elp
r
ed
u
ce
er
r
o
r
s
in
d
ec
is
io
n
m
ak
in
g
.
De
v
elo
p
er
s
f
r
eq
u
e
n
tl
y
e
n
co
u
n
ter
d
if
f
ic
u
ltie
s
i
n
d
eter
m
i
n
i
n
g
w
h
ich
f
r
a
m
e
w
o
r
k
to
ad
o
p
t
f
o
r
th
ei
r
p
r
o
j
ec
ts
[
1
3
]
.
I
n
th
is
p
r
o
ce
s
s
,
th
e
s
elec
tio
n
is
i
n
f
lu
en
ce
d
b
y
th
e
cr
iter
ia
th
a
t
m
u
s
t
b
e
co
n
s
id
er
ed
,
w
h
ic
h
s
h
o
u
ld
ali
g
n
w
it
h
t
h
e
s
ta
n
d
ar
d
s
d
ef
i
n
ed
b
y
t
h
e
d
ev
elo
p
er
.
Ho
w
e
v
er
,
in
ev
alu
ati
n
g
w
h
eth
er
a
f
r
a
m
e
w
o
r
k
is
s
u
itab
le
f
o
r
ad
d
r
ess
in
g
a
g
iv
e
n
p
r
o
b
lem
,
s
o
f
t
w
ar
e
d
ev
elo
p
er
s
o
f
ten
f
ac
e
ch
allen
g
es
in
m
a
k
i
n
g
th
e
f
in
al
d
ec
is
io
n
[
1
4
]
,
[
1
5
]
.
On
e
o
f
th
e
m
o
s
t
p
o
p
u
lar
p
r
o
g
r
a
m
m
in
g
lan
g
u
ag
e
s
in
s
o
f
t
w
a
r
e
d
ev
elo
p
m
e
n
t
is
J
av
aScr
ip
t
[
1
6
]
,
[
1
7
]
.
Nu
m
er
o
u
s
J
av
aScr
ip
t
f
r
a
m
e
wo
r
k
s
h
av
e
b
ee
n
d
ev
elo
p
ed
an
d
ar
e
co
m
m
o
n
l
y
ap
p
li
ed
in
p
r
o
j
ec
ts
r
an
g
in
g
f
r
o
m
s
m
al
l
an
d
m
ed
i
u
m
s
ca
le
ap
p
licatio
n
s
to
h
i
g
h
l
y
co
m
p
le
x
s
y
s
te
m
s
[
1
8
]
.
Ho
w
e
v
er
,
g
i
v
e
n
t
h
e
w
id
e
v
ar
iet
y
o
f
av
ailab
le
f
r
a
m
e
w
o
r
k
s
,
d
ev
elo
p
er
s
o
f
ten
f
ac
e
d
if
f
ic
u
ltie
s
in
d
eter
m
i
n
i
n
g
w
h
ich
f
r
a
m
e
w
o
r
k
b
est
m
ee
t
s
t
h
e
cr
iter
ia
r
elev
an
t
to
th
e
ir
d
esig
n
n
ee
d
s
[
1
9
]
,
[
2
0
]
.
T
o
a
d
d
r
ess
th
is
,
t
h
e
I
n
ter
n
atio
n
a
l
Or
g
an
iza
tio
n
f
o
r
Stan
d
ar
d
izatio
n
(
I
SO)
9
1
2
6
cl
ass
i
f
icatio
n
p
r
o
v
id
es
a
r
ef
er
en
ce
s
tan
d
ar
d
f
o
r
ev
al
u
ati
n
g
cr
it
er
ia
th
at
ca
n
h
elp
d
ev
elo
p
er
s
m
ak
e
m
o
r
e
i
n
f
o
r
m
ed
f
r
a
m
e
w
o
r
k
s
elec
tio
n
s
[
2
1
]
.
I
n
th
is
s
t
u
d
y
,
th
e
e
v
al
u
at
io
n
f
o
cu
s
es
o
n
te
n
p
o
p
u
lar
J
av
aScr
ip
t
f
r
am
e
w
o
r
k
s
An
g
u
lar
,
R
ea
ct,
V
u
e,
So
lid
,
Nex
t,
A
s
tr
o
,
Nu
x
t,
E
x
p
r
ess
,
S
v
elte,
an
d
Gatsb
y
,
th
at
r
ep
r
esen
t
w
id
el
y
ad
o
p
ted
to
o
ls
in
m
o
d
er
n
w
eb
d
ev
elo
p
m
en
t.
T
h
e
ac
cu
r
ac
y
o
f
d
ec
is
io
n
-
m
a
k
in
g
o
u
tco
m
es
i
s
also
in
f
lu
e
n
ce
d
b
y
th
e
s
elec
tio
n
o
f
a
m
eth
o
d
th
at
b
est
f
its
th
e
d
ata.
T
o
i
m
p
r
o
v
e
t
h
e
q
u
alit
y
o
f
r
es
u
lt
s
,
co
m
p
ar
i
s
o
n
s
ca
n
b
e
co
n
d
u
c
ted
b
et
w
ee
n
m
eth
o
d
s
w
i
th
d
if
f
er
e
n
t
ch
ar
ac
ter
is
t
ics
an
d
an
al
y
tical
ap
p
r
o
ac
h
es
[
2
2
]
.
B
a
s
ed
o
n
th
is
p
r
e
m
is
e,
th
e
a
u
th
o
r
w
a
s
m
o
ti
v
ated
to
co
n
d
u
ct
r
esear
ch
an
al
y
zin
g
th
e
ac
cu
r
ac
y
o
f
f
o
u
r
d
ec
is
io
n
s
u
p
p
o
r
t
m
et
h
o
d
s
A
HP
,
SM
A
R
T
,
W
P
,
an
d
T
O
P
SIS
u
s
i
n
g
th
e
m
ea
n
ab
s
o
lu
te
p
er
ce
n
tag
e
er
r
o
r
(
MA
P
E
)
as
th
e
ev
alu
at
io
n
m
etr
ic
f
o
r
J
av
a
Scr
ip
t
f
r
a
m
e
w
o
r
k
s
elec
tio
n
.
T
h
e
p
r
i
m
ar
y
o
b
j
ec
tiv
e
o
f
th
is
s
t
u
d
y
i
s
to
id
en
ti
f
y
w
h
ic
h
m
et
h
o
d
p
r
o
v
id
es
th
e
m
o
s
t
ac
cu
r
ate
r
esu
lt
s
in
d
ec
is
io
n
m
a
k
i
n
g
f
o
r
J
av
aScr
ip
t f
r
a
m
e
w
o
r
k
s
e
lectio
n
.
I
n
t
h
is
r
e
s
ea
r
ch
,
t
h
e
a
u
t
h
o
r
als
o
r
ef
er
s
to
p
r
ev
io
u
s
s
t
u
d
ies
t
h
at
h
a
v
e
ap
p
lied
d
ec
is
io
n
s
u
p
p
o
r
t
s
y
s
te
m
(
DSS)
m
et
h
o
d
o
lo
g
ies
in
b
o
th
s
o
f
t
w
ar
e
s
elec
tio
n
a
n
d
J
av
aS
cr
ip
t
f
r
a
m
e
w
o
r
k
co
m
p
ar
is
o
n
.
Han
i
n
e
et
a
l.
[
2
3
]
p
r
o
p
o
s
ed
an
in
teg
r
ated
A
HP
-
T
O
P
SIS
m
et
h
o
d
o
lo
g
y
f
o
r
s
el
ec
tin
g
ex
tr
ac
t,
tr
an
s
f
o
r
m
,
lo
ad
(
E
T
L
)
s
o
f
t
w
ar
e
,
d
em
o
n
s
tr
ati
n
g
th
at
th
e
co
m
b
in
atio
n
o
f
A
HP
to
d
eter
m
in
e
w
eig
h
t
s
an
d
T
O
P
SIS
to
r
a
n
k
alter
n
ati
v
es
ca
n
p
r
o
d
u
ce
s
tr
u
ctu
r
ed
,
o
b
j
ec
tiv
e,
an
d
r
eliab
le
r
esu
lts
w
h
en
m
u
lt
ip
le
co
n
f
licti
n
g
cr
iter
ia
ar
e
in
v
o
lv
ed
.
Me
an
w
h
i
le,
Ock
elb
er
g
a
n
d
Ol
s
s
o
n
[
2
4
]
ca
r
r
ied
o
u
t
a
co
m
p
ar
ativ
e
s
t
u
d
y
o
f
th
r
ee
J
av
a
Scr
ip
t
f
r
a
m
e
wo
r
k
s
an
g
u
lar
,
r
ea
ct,
an
d
v
u
e
e
v
al
u
ati
n
g
th
e
m
b
a
s
ed
o
n
p
er
f
o
r
m
a
n
ce
,
m
o
d
u
lar
i
t
y
,
a
n
d
u
s
ab
ilit
y
,
an
d
f
u
r
th
er
ap
p
ly
in
g
AHP
to
d
eter
m
in
e
t
h
e
r
an
k
i
n
g
o
f
th
e
f
r
a
m
e
w
o
r
k
s
.
T
h
ese
t
w
o
s
t
u
d
ie
s
p
r
o
v
id
e
a
s
tr
o
n
g
b
asis
an
d
ju
s
ti
f
icat
io
n
f
o
r
th
i
s
s
tu
d
y
:
th
e
f
ir
s
t
p
r
o
v
id
es
m
et
h
o
d
o
lo
g
ical
r
ig
o
r
in
co
m
b
in
i
n
g
m
u
l
ti
cr
iter
ia
d
ec
is
io
n
m
ak
in
g
m
eth
o
d
s
b
y
an
al
y
z
in
g
an
d
co
m
p
ar
in
g
t
h
e
r
an
k
i
n
g
r
esu
lt
s
o
f
ea
ch
co
m
b
i
n
ed
m
eth
o
d
,
w
h
ile
th
e
s
ec
o
n
d
p
r
o
v
id
es
r
elev
an
ce
in
e
v
al
u
atin
g
J
av
a
Scr
ip
t
f
r
a
m
e
w
o
r
k
s
u
s
i
n
g
a
d
ec
is
io
n
s
u
p
p
o
r
t
ap
p
r
o
ac
h
.
B
y
le
v
er
ag
i
n
g
t
h
e
u
n
d
er
s
ta
n
d
in
g
o
f
b
o
th
,
th
is
s
t
u
d
y
ai
m
s
to
ex
p
an
d
th
e
u
s
e
o
f
D
SS
m
et
h
o
d
s
n
o
t
o
n
l
y
i
n
g
en
er
al
s
o
f
t
w
ar
e
s
ele
ctio
n
b
u
t
al
s
o
in
a
w
id
er
s
e
t
o
f
J
a
v
aScr
ip
t
f
r
am
e
w
o
r
k
s
an
d
b
y
a
n
al
y
z
in
g
th
e
q
u
a
lit
y
o
f
th
e
co
m
b
in
ed
DSS
m
et
h
o
d
s
a
n
d
co
m
p
ar
i
n
g
th
e
ir
p
er
f
o
r
m
a
n
ce
to
o
b
tain
th
e
m
o
s
t
ac
cu
r
ate
co
m
b
in
at
io
n
o
f
m
eth
o
d
s
u
s
in
g
t
h
e
M
A
P
E
ac
cu
r
ac
y
m
et
h
o
d
w
h
ich
al
lo
w
s
f
o
r
a
m
o
r
e
co
m
p
r
eh
e
n
s
i
v
e
co
m
p
ar
is
o
n
ac
r
o
s
s
v
ar
io
u
s
cr
iter
ia
.
2.
M
E
T
H
O
D
T
h
e
r
esear
ch
m
eth
o
d
o
u
tli
n
es
th
e
s
ta
g
es
o
r
p
r
o
ce
s
s
es
u
n
d
er
tak
en
to
o
b
tain
t
h
e
r
esu
l
ts
o
f
th
e
s
t
u
d
y
[
2
5
]
.
T
h
ese
s
tag
es
i
n
v
o
lv
e
a
n
a
l
y
zi
n
g
t
h
e
r
eq
u
ir
e
m
e
n
ts
a
n
d
c
o
n
d
u
cti
n
g
e
x
p
er
i
m
e
n
t
s
,
as
ill
u
s
tr
ated
in
F
ig
u
r
e
1
.
T
h
e
f
ig
u
r
e
p
r
esen
ts
a
f
lo
w
d
iag
r
a
m
o
f
t
h
e
s
eq
u
en
tial sta
g
es
ca
r
r
ied
o
u
t in
th
i
s
r
esear
ch
.
2
.
1
.
Det
er
m
i
ne
re
s
ea
rc
h o
bje
ct
a
nd
s
co
pe
T
h
e
f
ir
s
t
s
tag
e
i
n
v
o
l
v
es
a
n
al
y
zin
g
t
h
e
r
esear
ch
o
b
j
ec
t.
T
h
is
s
t
u
d
y
f
o
cu
s
es
o
n
ap
p
l
y
i
n
g
th
e
m
o
s
t
ac
cu
r
ate
ap
p
r
o
ac
h
b
y
co
m
b
i
n
in
g
t
h
e
A
HP
w
it
h
s
ev
er
al
o
th
er
DSS
m
et
h
o
d
s
,
n
a
m
e
l
y
W
P,
SMA
R
T
,
an
d
T
O
P
SIS.
I
n
ad
d
itio
n
,
th
e
r
ese
a
r
ch
o
b
j
ec
t
in
clu
d
es
J
av
aScr
ip
t
f
r
a
m
e
w
o
r
k
s
.
Sev
er
al
f
r
a
m
e
wo
r
k
s
w
er
e
s
elec
te
d
b
ased
o
n
th
eir
h
i
g
h
d
o
w
n
lo
ad
r
ates a
n
d
p
o
p
u
lar
it
y
co
m
p
ar
ed
to
o
th
er
J
av
aScr
ip
t f
r
a
m
e
w
o
r
k
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
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2
.
2
.
L
it
er
a
t
ure
s
t
ud
y
A
t
t
h
e
liter
atu
r
e
r
ev
ie
w
s
ta
g
e,
th
e
au
th
o
r
co
llects
in
f
o
r
m
atio
n
f
r
o
m
a
w
id
e
r
an
g
e
o
f
s
o
u
r
ce
s
,
in
cl
u
d
in
g
s
cien
ti
f
ic
ar
ticles,
b
o
o
k
s
,
an
d
p
r
ev
io
u
s
s
tu
d
ies
r
el
ated
to
th
e
p
r
esen
t
r
esear
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u
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2
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[
3
3
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(
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ce
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.
Evaluation Warning : The document was created with Spire.PDF for Python.
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3
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[
3
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u
r
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2
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[
3
6
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,
[
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7
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:
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Evaluation Warning : The document was created with Spire.PDF for Python.
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2
.
6
.
I
m
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m
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t
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ased
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et
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f
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s
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s
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ated
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u
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ates
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as e
x
p
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in
(
6
)
[
3
8
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[
4
1
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:
∑
(
6
)
W
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izin
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1
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(
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=
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Descr
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n
:
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th
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s
co
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cr
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6930
T
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,
Vo
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24
,
No
.
1
,
Feb
r
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ar
y
20
26
:
95
-
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100
⋃
(
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Dete
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4
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2
.
7
.
I
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r
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tio
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m
a
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[
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6
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4
7
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.
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s
ee
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i
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(
1
1
)
:
=
−
+
+
(
1
1
)
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
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meth
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crip
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(
R
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fif A
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kh
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101
A
lter
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v
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tes
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4
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.
Da
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T
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[
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lcu
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MA
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3.
RE
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D
I
SCU
SS
I
O
N
3
.
1
.
Da
t
a
c
o
llect
io
n
T
h
e
d
ata
co
llectio
n
in
th
is
r
es
ea
r
ch
co
n
s
i
s
ts
o
f
s
ec
o
n
d
ar
y
d
a
ta
o
b
tain
ed
f
r
o
m
t
h
e
o
f
f
icial
w
eb
s
i
tes
o
f
ea
ch
J
av
aScr
ip
t
f
r
a
m
e
w
o
r
k
a
n
d
f
r
o
m
co
m
m
u
n
it
y
w
eb
s
i
tes
.
T
h
e
co
llected
d
ata
d
escr
ib
e
th
e
ca
p
ab
ilit
ies
o
f
ea
ch
f
r
a
m
e
w
o
r
k
.
T
h
is
p
r
o
ce
s
s
w
a
s
co
n
d
u
cted
i
n
J
an
u
ar
y
2
0
2
5
u
s
in
g
d
ata
f
r
o
m
th
e
p
r
ev
io
u
s
y
ea
r
,
co
v
er
in
g
th
e
p
er
io
d
f
r
o
m
J
an
u
ar
y
2
0
2
4
to
Dec
e
m
b
er
2
0
2
4
.
I
n
to
tal,
ten
J
av
aScr
ip
t
f
r
a
m
e
w
o
r
k
s
w
er
e
s
elec
ted
as
r
esear
ch
alter
n
ati
v
es:
An
g
u
lar
,
R
ea
ct,
Vu
e,
So
lid
,
Nex
t,
A
s
tr
o
,
Nu
x
t
,
E
x
p
r
ess
,
Sv
elte,
an
d
Gatsb
y
.
T
h
e
d
ata
w
er
e
th
e
n
g
r
o
u
p
ed
ac
co
r
d
in
g
to
th
e
cr
it
er
ia
d
ef
in
ed
i
n
th
e
I
S
O
9
1
2
6
class
i
f
icatio
n
.
T
h
is
g
r
o
u
p
i
n
g
i
n
clu
d
e
s
s
i
x
cr
iter
ia
m
ai
n
tai
n
ab
ilit
y
,
f
u
n
ct
io
n
alit
y
,
r
eliab
ilit
y
,
u
s
ab
ilit
y
,
ef
f
icie
n
c
y
,
an
d
p
o
r
tab
ilit
y
,
w
h
ic
h
ar
e
p
r
esen
ted
in
T
ab
le
2
.
T
ab
le
2
.
J
av
aScr
ip
t
f
r
a
m
e
w
o
r
k
d
ata
o
n
ea
ch
cr
iter
io
n
No
A
l
t
e
r
n
a
t
i
v
e
C
r
i
t
e
r
i
a
F
u
n
c
t
i
o
n
a
l
i
t
y
R
e
l
i
a
b
i
l
i
t
y
U
sab
i
l
i
t
y
Ef
f
i
c
i
e
n
c
y
M
a
i
n
t
a
i
n
a
b
i
l
i
t
y
P
o
r
t
a
b
i
l
i
t
y
1.
A
n
g
u
l
a
r
7
1
4
1
0
0
6
8
0
.
7
2
4
2
3
3
6
7
8
9
6
30
1
0
2
8
1
5
6
6
4
6
0
0
.
5
5
5
6
3
5
7
0
7
10
2.
R
e
a
c
t
4
4
6
2
3
3
8
8
6
0
1
5
1
4
3
3
2
0
3
1
2
10
6
4
2
4
8
2
2
2
8
8
0
0
.
5
5
5
6
3
7
3
2
8
10
3.
V
u
e
1
7
2
8
3
8
2
8
9
6
4
5
8
6
6
2
0
5
2
8
5
2
75
2
.
4
8
8
8
2
0
.
5
5
5
5
6
6
3
6
10
4.
S
o
l
i
d
7
4
4
7
0
9
8
6
.
6
7
2
5
1
9
9
3
9
6
7
.
1
4
.
5
1
0
6
9
2
9
7
2
4
0
0
.
5
5
7
1
5
8
3
5
7
10
5
.
.
N
e
x
t
2
4
2
7
4
1
6
2
.
5
4
8
1
1
2
7
3
2
7
.
0
7
10
3
4
4
4
8
2
3
0
0
0
.
5
6
3
7
2
5
0
4
6
10
6.
A
st
r
o
8
0
5
4
4
1
.
6
9
3
1
1
9
5
8
0
1
3
.
5
9
8
0
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2
8
5
7
7
7
7
8
2
0
0
0
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8
2
8
4
0
9
3
4
2
10
7.
N
u
x
t
2
1
4
5
8
5
.
3
2
2
1
6
0
2
1
8
8
.
4
9
5
3
0
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2
8
5
2
5
0
2
8
4
0
0
.
6
8
5
8
9
3
8
5
5
9
.
4
4
4
4
4
4
4
8.
Ex
p
r
e
ss
9
9
2
3
7
7
.
1
9
3
3
1
6
7
3
7
8
6
.
9
1
9
0
.
1
9
2
5
5
2
9
4
4
0
1
.
4
3
5
7
7
2
4
3
7
6
.
6
6
6
6
6
6
7
9.
S
v
e
l
t
e
4
3
9
3
5
5
8
.
0
7
4
1
4
3
2
8
7
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1
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7
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5
5
9
1
1
7
8
4
0
0
.
5
9
4
5
4
9
2
0
2
9
.
4
4
4
4
4
4
4
1
0
.
G
a
t
sb
y
7
6
1
3
2
7
.
5
6
4
6
1
8
2
8
7
2
8
.
7
1
2
3
.
4
6
5
6
4
0
2
6
0
0
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9
5
1
2
7
3
0
0
1
6
.
6
6
6
6
6
6
7
3
.
2
.
AH
P
-
WP
m
et
ho
d c
o
m
p
a
riso
n c
a
lcula
t
io
n
3
.
2
.
1
.
AH
P
ca
lcula
t
io
n
I
n
th
e
A
HP
ca
lcu
latio
n
,
t
h
e
p
r
o
ce
s
s
o
f
i
n
p
u
tti
n
g
d
ata
f
o
r
ea
ch
alter
n
at
iv
e
ac
co
r
d
in
g
to
th
e
p
r
ev
io
u
s
l
y
g
ath
er
ed
cr
iter
ia
i
n
T
ab
le
2
.
On
ce
t
h
e
d
ata
i
s
co
llected
,
it i
s
e
s
s
e
n
tial to
e
s
tab
lis
h
t
h
e
i
m
p
o
r
t
an
ce
r
atio
f
o
r
ea
ch
cr
iter
io
n
[
3
2
]
.
T
h
e
v
alu
e
o
f
th
e
i
m
p
o
r
tan
ce
r
atio
o
f
ea
ch
cr
it
er
io
n
in
T
ab
le
3
.
T
ab
le
3
.
I
m
p
o
r
tan
ce
r
atio
v
alu
e
C
r
i
t
e
r
i
a
W
e
i
g
h
t
F
u
n
c
t
i
o
n
a
l
i
t
y
5
R
e
l
i
a
b
i
l
i
t
y
3
U
sab
i
l
i
t
y
4
Ef
f
i
c
i
e
n
c
y
3
M
a
i
n
t
a
i
n
a
b
i
l
i
t
y
2
P
o
r
t
a
b
i
l
i
t
y
2
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
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6930
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elec
o
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m
u
n
C
o
m
p
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t E
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C
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n
tr
o
l
,
Vo
l.
24
,
No
.
1
,
Feb
r
u
ar
y
20
26
:
95
-
1
10
102
Af
ter
g
e
tti
n
g
t
h
e
v
alu
e
o
f
t
h
e
i
m
p
o
r
tan
ce
r
atio
,
th
e
p
air
w
is
e
co
m
p
ar
is
o
n
m
atr
ix
f
o
r
ea
ch
c
r
iter
io
n
is
b
ased
o
n
th
e
v
al
u
e
o
f
t
h
e
i
m
p
o
r
tan
ce
r
atio
,
as in
T
ab
le
4.
T
ab
le
4
.
P
air
w
i
s
e
co
m
p
ar
is
o
n
m
atr
i
x
C
r
i
t
e
r
i
a
K
_
1
K
_
2
K
_
3
K
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K
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3
3
3
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3
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3
3
3
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3
3
3
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3
3
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5
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T
o
t
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l
2
.
6
1
6
6
6
7
5
.
5
6
.
9
1
6
6
6
7
11
15
14
T
h
en
th
e
r
esu
lts
o
f
th
e
i
m
p
o
r
tan
ce
r
atio
m
atr
i
x
ar
e
n
o
r
m
al
is
ed
u
s
i
n
g
(
2
)
as
in
T
ab
le
5
.
T
h
e
s
tep
s
tak
en
to
ca
lcu
late
t
h
e
C
R
v
al
u
e
ca
n
u
s
e
(
3
)
.
T
h
e
v
al
u
e
th
a
t
n
ee
d
s
to
b
e
o
b
tain
ed
in
ca
lc
u
lati
n
g
th
e
C
R
v
al
u
e
r
eq
u
ir
es
a
v
ec
to
r
w
ei
g
h
t v
a
lu
e
,
w
h
ic
h
ca
n
b
e
s
ee
n
i
n
T
ab
le
6.
T
ab
le
5
.
No
r
m
al
is
atio
n
o
f
p
air
w
i
s
e
m
a
tr
ix
C
r
i
t
e
r
i
a
K
_
1
K
_
2
K
_
3
K
_
4
K
_
5
K
_
6
A
mo
u
n
t
P
r
i
o
r
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t
y
v
e
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t
o
r
K
_
1
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3
8
2
1
6
6
0
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5
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5
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5
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0
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2
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5
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0
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2
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5
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6
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3
6
6
T
ab
le
6
.
W
eig
h
t
v
ec
to
r
o
f
cr
iter
ia
C
r
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t
e
r
i
a
K
_
1
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2
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3
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4
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5
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6
A
mo
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n
t
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l
p
r
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o
r
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t
y
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ed
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