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6
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I
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2252
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8
7
7
6
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Vo
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7
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1
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A
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20
1
8
:
31
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38
32
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[
1
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5
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.
T
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.
P
r
ep
ar
atio
n
o
f
Data
w
ar
eh
o
u
s
e
p
ass
es
th
r
o
u
g
h
th
r
ee
m
aj
o
r
o
p
e
r
atio
n
s
i.e
.
E
x
tr
ac
t,
T
r
an
s
f
o
r
m
a
n
d
L
o
ad
in
g
.
I
n
s
h
o
r
t
t
h
ese
p
r
o
ce
s
s
es
ar
e
co
m
b
i
n
i
n
g
k
n
o
w
n
a
s
E
T
L
.
C
o
llectio
n
o
f
d
ata
f
r
o
m
d
if
f
er
e
n
t
d
ata
b
ases
m
a
y
co
n
tain
s
er
r
o
r
s
an
d
an
o
m
alie
s
.
I
f
s
u
c
h
d
ata
is
d
ir
ec
tly
p
u
t
in
to
d
ata
w
ar
e
h
o
u
s
e
an
d
d
ec
is
io
n
is
tak
e
n
o
n
th
is
p
r
ep
ar
ed
d
ata
w
ar
e
h
o
u
s
e
,
th
en
?
Def
i
n
itel
y
it
w
ill
r
es
u
l
ts
in
w
r
o
n
g
r
ef
lectio
n
i
n
o
u
tp
u
t
o
r
o
r
g
an
izatio
n
p
er
f
o
r
m
a
n
ce
.
So
all
t
h
ese
t
h
r
e
e
p
r
o
ce
s
s
es
i.e
.
E
T
L
n
ee
d
s
to
p
er
f
o
r
m
to
clea
n
th
e
d
ata
a
n
d
th
en
lo
ad
in
g
t
h
ese
d
ata
to
d
ata
w
ar
e
h
o
u
s
e
i
s
p
er
f
o
r
m
ed
.
R
est
o
f
t
h
e
p
ap
er
is
o
r
g
an
ized
in
to
f
i
v
e
s
ec
tio
n
s
.
Sectio
n
I
I
co
n
tain
s
th
e
liter
at
u
r
e
s
u
r
v
e
y
.
Sectio
n
I
I
I
co
n
tain
s
th
e
p
r
o
p
o
s
ed
m
eth
o
d
.
Sectio
n
I
V
co
n
tai
n
s
t
h
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
a
n
d
ex
p
ec
ted
o
u
tco
m
es.
Sectio
n
V
co
n
tain
s
th
e
co
n
clu
s
io
n
a
n
d
f
u
tu
r
e
r
esear
ch
d
ir
ec
tio
n
s
.
2.
SYST
E
M
AT
I
C
L
I
T
E
R
AT
U
RE
RE
VI
E
W
P
RO
CE
SS
Au
t
h
o
r
s
i
n
t
h
eir
p
ap
er
co
n
d
u
cte
d
a
s
u
r
v
e
y
w
h
ic
h
w
as
b
ased
o
n
T
elec
o
m
m
u
n
icatio
n
C
o
m
p
an
y
.
T
elec
o
m
m
u
n
icatio
n
C
o
m
p
a
n
y
h
a
s
s
m
al
l
w
ar
eh
o
u
s
e
co
n
s
i
s
tin
g
o
f
s
cr
atc
h
ca
r
d
s
an
d
s
i
m
ca
r
d
s
.
T
h
e
w
h
o
le
p
r
o
ce
s
s
is
ca
r
r
ied
u
s
i
n
g
m
an
u
al
e
n
tr
y
e
x
ce
l
s
h
ee
t
s
.
T
h
e
aim
o
f
th
i
s
s
u
r
v
e
y
i
s
to
f
in
d
o
u
t
t
h
e
p
r
o
ce
s
s
es
o
r
p
r
o
ce
d
u
r
es
w
h
ich
ca
n
b
e
au
t
o
m
a
ted
.
W
h
en
t
h
i
s
s
tep
is
c
o
m
p
leted
s
u
cc
e
s
s
f
u
ll
y
,
a
n
o
th
er
s
tep
is
to
ch
o
o
s
e
s
o
f
t
w
ar
e
p
r
o
g
r
a
m
.
So
f
t
w
ar
e
p
r
o
g
r
a
m
is
ch
o
s
en
ac
co
r
d
in
g
to
n
ee
d
o
f
an
en
ter
p
r
is
e
an
d
ca
n
w
it
h
s
tan
d
w
it
h
th
e
lar
g
e
a
m
o
u
n
t o
f
d
ata.
A
u
to
m
at
io
n
o
f
w
ar
e
h
o
u
s
e
h
elp
s
i
n
co
n
t
r
o
llin
g
,
m
o
v
e
m
en
t a
n
d
s
to
r
ag
e
o
f
p
r
o
d
u
cts alo
n
g
w
it
h
e
n
h
a
n
ce
d
s
ec
u
r
it
y
.
Au
t
h
o
r
in
th
eir
au
to
m
atio
n
ap
p
lied
th
e
FIFO
co
n
ce
p
t.
Au
t
h
o
r
s
Nu
r
Ha
n
i e
t a
l.
i
n
t
h
ei
r
p
ap
er
titl
ed
“
User
R
eq
u
ir
e
m
en
t
An
al
y
s
is
in
Data
W
ar
eh
o
u
s
e
Desi
g
n
:
A
R
e
v
ie
w
”
d
is
c
u
s
s
ed
ab
o
u
t
t
h
e
v
ar
io
u
s
a
n
al
y
s
i
s
ap
p
r
o
ac
h
es
th
at
f
o
c
u
s
s
es
o
n
th
e
r
o
le
o
f
u
s
er
r
eq
u
ir
e
m
en
t
in
d
ata
w
ar
eh
o
u
s
e
d
esi
g
n
.
Fo
u
r
b
r
o
ad
ca
teg
o
r
ies
in
w
h
ic
h
u
s
e
r
r
eq
u
ir
e
m
en
t
s
ap
p
r
o
ac
h
es
ca
n
b
e
class
if
ied
ar
e:
Go
al
d
r
iv
en
,
d
ata
d
r
iv
en
,
m
i
x
ed
d
r
iv
en
a
n
d
m
i
x
ed
ap
p
r
o
ac
h
es.
T
h
ese
clas
s
i
f
icatio
n
w
a
s
p
er
f
o
r
m
ed
b
y
t
h
e
r
esear
ch
er
s
in
o
r
d
er
to
i
d
en
tify
th
e
r
o
le
o
f
u
s
er
r
eq
u
ir
em
e
n
ts
b
u
t
it
is
v
er
y
d
if
f
ic
u
lt
f
o
r
d
ata
w
ar
e
h
o
u
s
e
d
esi
g
n
er
to
f
i
n
d
o
u
t
th
e
s
u
itab
le
tec
h
n
i
q
u
e
w
h
ich
th
e
y
s
h
o
u
ld
s
e
lect
i
n
d
esi
g
n
in
g
o
f
d
ata
w
ar
e
h
o
u
s
e
[
4
]
.
A
u
th
o
r
i
n
t
h
i
s
p
ap
er
also
d
is
cu
s
s
ab
o
u
t
t
h
e
s
t
r
en
g
t
h
a
n
d
w
ea
k
n
e
s
s
i
n
th
e
s
e
f
o
u
r
ca
te
g
o
r
ies.
A
cc
o
r
d
in
g
to
th
e
a
u
t
h
o
r
th
e
m
o
s
t
cr
itical
p
h
ase
in
d
ata
w
ar
eh
o
u
s
e
d
ev
elo
p
m
e
n
t
i
s
r
eq
u
ir
e
m
en
t
an
al
y
s
i
s
.
I
n
th
e
p
ap
er
s
[
6
]
[
7
]
au
th
o
r
al
s
o
s
h
o
wn
th
at
8
0
%
DW
p
r
o
j
ec
t
f
ail
to
f
u
lf
il
b
u
s
i
n
ess
o
b
j
ec
tiv
es.
B
ec
au
s
e
o
f
v
ar
iatio
n
in
e
n
d
u
s
er
.
So
m
e
o
f
t
h
e
r
esear
ch
er
also
m
en
tio
n
ed
in
t
h
eir
p
ap
er
s
ab
o
u
t
ig
n
o
r
an
t
b
e
h
av
io
r
o
f
d
ec
is
io
n
m
a
k
er
s
to
w
ar
d
s
th
is
p
h
a
s
e
[
9
]
i.e
.
R
eq
u
ir
e
m
en
t
a
n
al
y
s
i
s
p
h
ase.
T
h
ey
w
er
e
m
o
r
e
co
n
ce
r
n
ed
ab
o
u
t
tech
n
ical
asp
ec
t
s
r
ath
e
r
th
an
r
eq
u
ir
e
m
e
n
t
an
al
y
s
is
p
h
a
s
e
[
8
]
.
C
o
n
ce
p
t
is
m
o
r
e
clea
r
if
an
y
I
T
p
eo
p
le
w
ill
u
n
ab
le
to
u
n
d
er
s
tan
d
o
r
th
er
e
is
m
is
co
m
m
u
n
icat
io
n
b
et
w
ee
n
I
T
an
d
p
o
licy
m
a
k
er
s
o
r
d
ec
is
i
o
n
m
a
k
es,
w
ill lea
d
to
p
o
o
r
d
ata
w
ar
eh
o
u
s
e
d
esi
g
n
w
h
ic
h
u
lt
i
m
a
tel
y
r
es
u
lt
s
i
n
f
ail
u
r
e
o
f
d
ate
w
ar
e
h
o
u
s
e
o
b
j
ec
tiv
es [
1
0
]
.
T
h
e
f
ir
s
t
ap
p
r
o
ac
h
is
Data
-
d
r
iv
en
ap
p
r
o
ac
h
.
So
m
e
r
esear
c
h
p
ap
er
s
r
ef
er
s
th
is
Da
ta
-
d
r
i
v
en
ap
p
r
o
ac
h
b
y
o
th
er
n
a
m
e
k
n
o
w
n
a
s
s
u
p
p
l
y
-
d
r
i
v
en
ap
p
r
o
ac
h
[
1
]
[
7
]
.
I
n
th
is
k
i
n
d
o
f
ap
p
r
o
ac
h
Data
b
ase
ad
m
in
i
s
tr
at
o
r
p
lay
s
a
v
er
y
i
m
p
o
r
tan
t
r
o
le.
T
r
an
s
ac
tio
n
al
d
ata
i
s
an
a
l
y
ze
d
a
n
d
lo
g
ical
s
c
h
e
m
a
i
s
b
u
ild
.
Ge
n
er
all
y
t
h
is
k
i
n
d
o
f
ap
p
r
o
ac
h
elim
in
ate
s
th
e
n
ee
d
o
f
u
s
er
i
n
v
o
l
v
e
m
en
t.
Seco
n
d
ap
p
r
o
ac
h
is
u
s
er
d
r
i
v
e
n
ap
p
r
o
ac
h
[
1
1
]
.
T
h
is
ap
p
r
o
ac
h
u
s
e
s
t
h
e
co
n
ce
p
t
o
f
b
o
tto
m
u
p
.
P
r
o
j
ec
t
m
an
a
g
er
p
la
y
s
a
k
e
y
r
o
le.
P
r
o
ject
m
an
a
g
er
h
a
s
th
e
r
esp
o
n
s
ib
i
lit
y
to
d
o
cu
m
e
n
t a
ll t
h
e
r
eq
u
ir
e
m
en
ts
o
f
d
i
f
f
er
e
n
t
b
u
s
i
n
ess
u
s
er
.
T
h
is
d
o
cu
m
en
te
d
in
f
o
r
m
at
io
n
is
i
n
te
g
r
ated
w
it
h
d
ata
w
ar
e
h
o
u
s
e.
Go
al
-
Dr
i
v
en
is
t
h
ir
d
ap
p
r
o
ac
h
.
I
n
t
h
is
ap
p
r
o
ac
h
to
p
le
v
el
m
an
ag
e
m
e
n
t
p
la
y
s
a
n
i
m
p
o
r
tan
t
r
o
le.
T
h
e
m
an
a
g
e
m
e
n
t
p
er
s
o
n
o
r
p
o
licy
m
a
k
er
s
d
ec
id
es
th
e
g
o
al
p
r
io
r
ities
.
B
ased
o
n
th
ese
g
o
als,
d
ata
w
ar
eh
o
u
s
e
i
s
ex
p
ec
ted
to
g
iv
e
t
h
e
an
s
w
er
s
i.
e.
h
o
w
m
u
ch
t
h
ese
g
o
als
h
av
e
b
ee
n
ac
h
ie
v
ed
[
1
2
]
.
Fo
u
r
th
ap
p
r
o
ac
h
i
s
Mi
x
ed
-
Dr
i
v
en
a
p
p
r
o
ac
h
.
T
h
is
k
i
n
d
o
f
ap
p
r
o
ac
h
h
av
e
b
ee
n
d
ev
elo
p
to
s
tr
en
g
t
h
e
n
th
e
r
eq
u
ir
e
m
e
n
t a
n
al
y
s
i
s
.
W
in
ter
&
Stra
u
c
h
[
1
3
]
in
th
e
ir
r
esear
ch
p
ap
er
p
r
o
p
o
s
ed
an
ap
p
r
o
ac
h
th
at
r
eq
u
ir
es
t
w
o
t
h
i
n
g
s
,
id
en
ti
f
y
th
e
en
d
u
s
er
s
t
h
at
p
la
y
s
lead
r
o
le
in
d
ec
is
io
n
m
ak
in
g
in
a
n
o
r
g
an
izatio
n
an
d
an
ap
p
licatio
n
th
at
ca
n
co
n
n
ec
t
d
ata
w
ar
e
h
o
u
s
e
to
in
f
o
r
m
at
io
n
.
E
n
d
u
s
er
w
i
ll
d
ec
id
e
th
eir
o
r
g
an
izatio
n
al
r
eq
u
ir
e
m
en
t
s
b
u
t
i
n
p
r
io
r
it
y
w
i
s
e.
B
ef
o
r
e
th
ese
r
eq
u
ir
e
m
e
n
ts
i
s
f
in
all
y
co
n
v
er
ted
i
n
to
in
f
o
r
m
at
io
n
an
d
f
i
n
all
y
m
ap
p
ed
w
it
h
d
ata
w
ar
eh
o
u
s
e,
t
h
is
en
d
u
s
er
r
eq
u
ir
e
m
en
t p
r
o
ce
s
s
i
s
iter
ated
till
en
d
u
s
er
s
atis
f
ie
s
w
it
h
it
s
o
u
tco
m
e.
Data
d
r
iv
en
ap
p
r
o
ac
h
h
as
s
e
v
e
r
al
s
tr
en
g
th
s
s
u
ch
as
d
ata
a
v
ail
ab
ilit
y
d
ec
id
es
d
esig
n
o
f
d
ata
w
ar
e
h
o
u
s
e.
T
h
e
s
ch
e
m
a
g
e
n
er
ated
w
it
h
th
is
ap
p
r
o
ac
h
is
k
n
o
w
n
f
o
r
th
eir
s
tab
ilit
y
[
4
]
.
B
u
t
th
is
ap
p
r
o
ac
h
al
m
o
s
t
i
g
n
o
r
e
th
e
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
I
C
T
I
SS
N:
2252
-
8776
A
P
r
o
p
o
s
ed
DDS
E
n
a
b
le
Mo
d
el
fo
r
Da
ta
W
ereh
o
u
s
es
w
ith
R
ea
l Time
Up
d
a
tes
(
V
ir
en
d
r
a
K
u
ma
r
Ya
d
a
v
)
33
in
v
o
l
v
e
m
en
t
o
f
e
n
d
u
s
er
.
A
ls
o
s
o
m
e
o
f
th
e
r
esear
ch
er
a
g
r
ee
s
o
n
th
i
s
p
o
in
t
th
at
it
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i
f
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icu
lt
to
p
er
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m
t
h
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p
r
o
ce
s
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lar
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e
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ata
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o
r
d
er
to
g
e
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er
ate
r
ele
v
an
t
i
n
f
o
r
m
atio
n
.
I
n
u
s
er
d
r
i
v
en
ap
p
r
o
ac
h
,
en
d
u
s
er
g
ets
p
r
io
r
it
y
.
T
h
is
k
i
n
d
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f
ap
p
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ac
h
is
h
i
g
h
l
y
ap
p
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ec
iated
b
y
t
h
e
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n
d
u
s
er
.
B
u
t
t
h
i
s
k
in
d
o
f
a
p
p
r
o
ac
h
h
as
ce
r
tai
n
li
m
ita
tio
n
s
.
Su
c
h
as
it
is
v
er
y
d
if
f
icu
lt
to
s
atis
f
y
all
th
e
r
eq
u
ir
e
m
en
ts
o
f
en
d
u
s
er
b
y
m
ap
p
in
g
it
w
it
h
w
ar
eh
o
u
s
e.
Au
t
h
o
r
s
ag
r
ee
s
o
n
th
i
s
p
o
in
t
t
h
at
r
eq
u
ir
e
m
e
n
t
e
n
g
i
n
ee
r
i
n
g
m
u
s
t
b
e
p
er
f
o
r
m
ed
to
en
s
u
r
e
th
e
s
m
o
o
t
h
p
r
o
ce
s
s
.
Sh
ao
et
al
[
1
4
]
in
th
eir
r
esear
ch
talk
ed
ab
o
u
t
t
h
e
R
ea
l
-
ti
m
e
d
ata
w
ar
e
h
o
u
s
e.
I
n
th
eir
r
esear
ch
t
h
e
y
r
esear
ch
ed
ab
o
u
t
th
e
s
tr
u
ct
u
r
e
o
f
r
ea
l
ti
m
e
d
ata
w
ar
eh
o
u
s
e.
T
h
e
y
s
tr
u
ct
u
r
ed
th
e
d
ata
w
ar
eh
o
u
s
e
w
h
ic
h
is
b
ased
o
n
d
o
u
b
le
m
ir
r
o
r
r
ep
licatio
n
m
ec
h
a
n
i
s
m
a
n
d
m
u
lt
i
-
le
v
el
ca
ch
es.
Fig
u
r
e
1
.
R
eal
-
t
i
m
e
Sto
r
ag
e
Ar
ea
Stru
ctu
r
e
[
1
4
]
No
w
a
d
a
y
s
t
h
e
d
ata
w
ar
e
h
o
u
s
e
ca
n
n
o
t
b
e
co
n
s
id
er
ed
in
is
o
latio
n
f
o
r
d
ec
is
io
n
m
a
k
in
g
.
C
o
m
p
eti
tiv
e
w
o
r
ld
o
f
to
d
ay
s
is
d
e
m
an
d
i
n
g
.
T
o
m
a
k
e
p
o
licies/
d
ec
is
io
n
s
,
b
o
th
d
ata
i.e
.
o
r
g
an
izatio
n
d
ata
&
d
ata
f
r
o
m
o
u
ts
id
e
w
o
r
ld
s
(
co
m
p
etito
r
s
)
ar
e
r
eq
u
ir
ed
.
Secu
r
it
y
is
al
s
o
m
ea
s
u
r
e
co
n
ce
r
n
ed
n
o
w
a
d
a
y
's.
U
s
e
o
f
g
o
o
d
en
cr
y
p
tio
n
tech
n
iq
u
e/al
g
o
r
ith
m
s
ca
n
b
e
a
s
o
lu
tio
n
(
o
ld
s
o
lu
tio
n
)
.
Au
t
h
o
r
s
in
th
e
ir
p
ap
er
co
m
p
ar
ed
th
e
v
ar
io
u
s
tec
h
n
iq
u
es
p
r
o
p
o
s
ed
in
v
ar
io
u
s
ar
ticles
o
n
th
e
b
asi
s
o
f
s
ec
u
r
it
ies
p
ar
a
m
eter
s
s
u
c
h
as:
E
n
cr
y
p
ted
d
ata,
A
u
d
it
co
n
tr
o
l,
ex
ten
d
ib
ili
t
y
,
p
lat
f
o
r
m
in
d
ep
en
d
en
ce
m
o
d
el
s
ec
u
r
it
y
,
tr
a
n
s
f
o
r
m
atio
n
,
cr
ea
tio
n
o
f
P
S
M,
QVT
s
u
p
p
o
r
t,
in
te
g
r
atio
n
o
f
m
u
ltip
lat
f
o
r
m
d
ata.
T
ab
le
1
.
Mix
ed
Data
Dr
iv
en
Ap
p
r
o
ac
h
es
[
4
]
T
h
er
e
is
ce
r
tain
is
s
u
es
w
h
ic
h
m
u
s
t
b
e
tak
e
n
ca
r
e
w
h
ile
d
esi
g
n
in
g
o
f
d
ata
w
ar
eh
o
u
s
e.
Data
w
ar
e
h
o
u
s
e
s
ar
e
d
ec
is
io
n
al
in
f
o
r
m
atio
n
ar
tif
ac
ts
t
h
at
ar
e
e
m
b
ed
d
ed
in
th
e
o
r
g
a
n
izatio
n
s
t
h
at
cr
ea
te/
m
ai
n
tai
n
t
h
e
m
.
T
h
er
ef
o
r
e,
th
eir
co
n
te
n
ts
m
u
s
t
b
e
h
i
g
h
l
y
s
u
p
p
o
r
tiv
e
o
f
t
h
e
d
ec
is
io
n
-
m
a
k
i
n
g
ac
ti
v
it
y
o
f
o
r
g
an
izatio
n
s
.
T
h
e
d
ec
is
io
n
-
m
a
k
i
n
g
ac
ti
v
it
y
,
in
t
u
r
n
,
is
tig
h
tl
y
co
u
p
led
to
th
e
g
o
als
th
at
a
n
o
r
g
a
n
izatio
n
s
et
s
f
o
r
its
elf
.
B
u
t
th
e
ap
p
r
o
ac
h
es
d
is
cu
s
s
ed
ab
o
v
e
d
o
n
o
t
tak
e
in
to
ac
co
u
n
t
t
h
e
lar
g
er
o
r
g
an
izatio
n
al
co
n
te
x
t
in
w
h
ich
t
h
e
DW
is
to
f
u
n
ctio
n
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
-
8
7
7
6
IJ
-
I
C
T
Vo
l.
7
,
No
.
1
,
A
p
r
il
20
1
8
:
31
–
38
34
a.
Ho
w
ca
n
w
e
en
s
u
r
e
co
r
r
ec
t r
eq
u
ir
e
m
e
n
ts
?
C
o
r
r
ec
t q
u
er
y
s
et
th
at
d
ata
w
ar
eh
o
u
s
e
is
s
u
p
p
o
s
ed
to
an
s
w
er
.
b.
Re
-
e
x
a
m
i
n
e
th
e
n
o
tio
n
s
o
f
g
o
a
ls
an
d
s
ce
n
ar
io
s
f
o
r
d
ata
-
o
r
ien
ted
s
y
s
te
m
s
.
c.
I
t
ca
n
b
e
s
ee
n
th
at
t
h
e
r
eq
u
ir
em
en
ts
en
g
i
n
ee
r
in
g
p
r
o
b
le
m
f
o
r
d
ata
w
ar
e
h
o
u
s
e
s
y
s
te
m
s
is
t
h
e
in
v
er
s
e
o
f
t
h
at
f
o
r
f
u
n
ct
io
n
al
s
y
s
te
m
s
,
t
h
e
f
o
r
m
er
i
s
ai
m
ed
at
th
e
d
is
co
v
er
y
o
f
d
ata
a
n
d
d
e
-
e
m
p
h
asiz
es
f
u
n
ctio
n
al
it
y
w
h
er
ea
s
t
h
e
latter
ai
m
s
to
d
is
co
v
er
th
e
f
u
n
ctio
n
al
it
y
o
f
s
y
s
t
e
m
s
a
n
d
d
e
-
e
m
p
h
asize
s
d
ata
d
is
co
v
er
y
.
T
h
is
s
h
i
f
t
i
n
e
m
p
h
asi
s
d
e
m
an
d
s
f
o
r
r
e
-
ex
a
m
in
a
tio
n
o
f
t
h
e
n
o
tio
n
s
o
f
g
o
als
an
d
s
ce
n
ar
io
s
f
o
r
d
ata
w
ar
e
h
o
u
s
e
s
y
s
te
m
s
.
d.
Ho
w
ca
n
a
n
ac
to
r
(
s
tak
e
h
o
ld
e
r
s
)
en
s
u
r
e
ab
o
u
t
f
ac
ts
t
h
at
ar
e
p
r
o
v
id
ed
b
y
d
ata
w
ar
eh
o
u
s
e
a
r
e
m
ee
t
in
g
w
it
h
th
e
ex
p
ec
tatio
n
in
d
ec
is
io
n
m
a
k
in
g
p
r
o
ce
s
s
an
d
i
n
th
e
ir
s
u
cc
ess
?
e.
L
o
o
k
i
n
g
at
s
o
f
t
w
ar
e
en
g
i
n
ee
r
i
n
g
an
d
in
f
o
r
m
a
tio
n
s
y
s
te
m
v
i
e
w
s
o
r
eq
u
ir
e
m
e
n
ts
en
g
i
n
ee
r
i
n
g
i
n
co
n
tex
t
o
f
Data
W
ar
eh
o
u
s
e.
I
t
is
w
ell
k
n
o
w
n
th
at
a
d
ata
w
ar
e
h
o
u
s
e
ca
n
b
e
lo
o
k
ed
u
p
o
n
f
r
o
m
t
h
e
o
r
g
an
iza
tio
n
al
a
n
d
f
r
o
m
th
e
tec
h
n
ica
l
p
er
s
p
ec
tiv
e
s
.
T
h
e
f
o
r
m
er
lo
o
k
s
u
p
o
n
th
e
w
ar
e
h
o
u
s
e
as
e
m
b
ed
d
ed
in
an
o
r
g
an
izatio
n
an
d
co
n
s
id
er
s
t
h
e
m
an
n
er
i
n
w
h
i
ch
it
s
u
p
p
o
r
ts
o
r
g
a
n
izatio
n
al
task
s
.
T
h
e
latter
d
ea
ls
w
it
h
is
s
u
es
o
f
d
ata
w
ar
e
h
o
u
s
e
co
n
te
n
t
s
,
th
eir
s
tr
u
ctu
r
e
etc.
T
h
e
o
r
g
an
izatio
n
a
l
v
ie
w
o
f
d
ata
w
ar
e
h
o
u
s
e
co
r
r
esp
o
n
d
s
to
th
e
I
n
f
o
r
m
a
tio
n
S
y
s
te
m
s
p
er
s
p
ec
ti
v
e
o
f
R
eq
u
ir
e
m
e
n
ts
E
n
g
in
ee
r
i
n
g
w
h
er
ea
s
th
e
tech
n
ical
v
ie
w
co
r
r
esp
o
n
d
s
to
th
e
So
f
t
w
ar
e
E
n
g
in
ee
r
i
n
g
v
ie
w
.
No
n
e
o
f
t
h
e
ap
p
r
o
ac
h
f
o
r
d
ata
w
ar
eh
o
u
s
e
d
ev
e
lo
p
m
en
t
d
is
cu
s
s
e
s
t
h
e
d
ev
elo
p
m
en
t o
f
d
ata
w
ar
e
h
o
u
s
e
f
r
o
m
b
o
th
p
o
in
ts
o
f
v
ie
w
.
f.
Wh
o
s
h
o
u
ld
i
n
v
o
l
v
e
i
n
r
eq
u
ir
em
en
t id
en
ti
f
icatio
n
p
h
ase?
g.
Ho
w
to
av
o
id
co
n
tr
ad
ictio
n
b
e
t
w
ee
n
ex
p
ec
tat
io
n
s
o
f
v
ar
io
u
s
s
tak
e
h
o
ld
er
s
an
d
d
esig
n
ed
d
ata
w
ar
eh
o
u
s
e?
h.
Gen
er
al
lac
k
o
f
s
p
ec
if
ic
g
u
i
d
an
ce
f
o
r
th
e
r
eq
u
ir
e
m
e
n
t
e
licitatio
n
p
r
o
ce
s
s
f
o
r
I
d
en
ti
f
i
ca
tio
n
o
f
d
ata
w
ar
e
h
o
u
s
e
co
n
te
n
t
s
.
Nu
m
b
er
o
f
au
th
o
r
s
h
as
p
r
o
p
o
s
ed
to
ad
ap
t
t
r
ad
itio
n
al
r
eq
u
ir
em
e
n
ts
en
g
i
n
ee
r
i
n
g
ap
p
r
o
ac
h
in
s
p
ec
if
ic
co
n
tex
t
o
f
d
ev
elo
p
m
en
t
o
f
d
ata
w
ar
e
h
o
u
s
e.
B
u
t
th
e
s
e
ap
p
r
o
ac
h
es
lack
in
s
p
ec
i
f
ic
g
u
id
a
n
ce
f
o
r
r
eq
u
ir
e
m
e
n
t
s
eli
citatio
n
[
1
5
]
,
[
1
6
]
,
[
1
7
]
.
Fo
r
ex
a
m
p
le,
th
e
p
r
o
p
o
s
al
o
f
[
Fa
b
0
3
]
to
b
u
ild
a
f
r
a
m
e
w
o
r
k
f
o
r
DW
r
eq
u
ir
e
m
e
n
ts
e
n
g
i
n
ee
r
in
g
p
r
o
v
id
es
p
o
in
t
er
s
to
R
E
ap
p
r
o
ac
h
es
t
h
at
m
a
y
b
e
ap
p
licab
le,
b
u
t d
o
es n
o
t e
s
tab
lis
h
t
h
eir
f
ea
s
ib
ilit
y
a
n
d
also
d
o
es n
o
t c
o
n
s
id
er
an
y
d
etailed
tech
n
ical
s
o
l
u
tio
n
s
.
i.
L
ac
k
o
f
Au
to
m
at
io
n
o
f
t
h
e
R
e
q
u
ir
e
m
e
n
ts
E
lic
itatio
n
P
r
o
ce
s
s
.
No
n
e
o
f
th
e
ap
p
r
o
ac
h
p
r
o
v
id
es
au
to
m
atio
n
o
f
th
e
ap
p
licatio
n
o
f
th
e
r
eq
u
ir
em
en
ts
elicitatio
n
p
r
o
ce
s
s
.
Few
C
ASE
to
o
ls
f
o
r
DW
c
o
n
ce
p
tu
al
d
esig
n
h
a
v
e
b
ee
n
i
m
p
le
m
e
n
ted
.
I
n
A
D
A
P
T
an
d
in
GOL
D,
co
n
ce
p
tu
al
s
ch
e
m
a
is
d
ir
ec
tl
y
d
r
a
w
n
b
y
th
e
d
esig
n
er
b
u
t
n
o
ac
tiv
e
s
u
p
p
o
r
t f
o
r
r
eq
u
ir
e
m
e
n
t
s
elicitatio
n
is
p
r
o
v
id
ed
.
3.
P
RO
P
O
SE
D
WO
RK
T
h
is
s
ec
tio
n
d
is
c
u
s
s
es a
b
o
u
t t
h
e
p
r
o
p
o
s
ed
w
o
r
k
.
3
.
1
.
I
nitia
liza
t
io
n P
ha
s
e
T
h
e
f
ir
s
t
s
tep
is
to
id
en
tify
th
e
co
r
r
ec
t
ex
p
ec
tatio
n
s
f
r
o
m
d
ata
w
ar
eh
o
u
s
e
o
f
a
n
ac
to
r
(
ac
to
r
ca
n
b
e
b
u
s
i
n
ess
ex
p
er
ts
,
a
n
al
y
s
t
ex
p
e
r
ts
,
s
ta
k
e
h
o
ld
er
s
,
p
r
o
j
ec
t
m
an
ag
er
s
etc.
)
.
T
o
f
in
d
o
u
t t
h
e
co
r
r
ec
t e
x
p
ec
tatio
n
s
to
en
s
u
r
e
co
r
r
ec
t
d
ec
is
io
n
,
co
n
ce
p
t
o
f
a
f
o
r
m
al
d
is
c
u
s
s
io
n
(
w
h
i
ch
ca
n
ta
k
e
p
lace
t
h
r
o
u
g
h
o
n
li
n
e
o
r
)
is
p
r
o
p
o
s
ed
.
I
t
is
ex
p
ec
ted
t
h
at
all
ac
to
r
s
s
u
ch
a
s
b
u
s
i
n
ess
ex
p
er
ts
,
a
n
al
y
s
t
e
x
p
er
ts
,
s
tak
e
h
o
ld
er
s
,
p
r
o
j
ec
t
m
a
n
ag
er
s
etc.
s
h
o
u
ld
b
e
p
ar
t
o
f
th
is
d
is
cu
s
s
io
n
p
h
ase.
A
ll
t
h
e
ex
p
er
ts
(
in
cl
u
d
es
b
u
s
i
n
es
s
ex
p
er
ts
,
an
al
y
s
t
e
x
p
er
ts
,
s
tak
e
h
o
ld
er
s
,
p
r
o
j
ec
t m
a
n
a
g
er
s
a
n
d
an
y
o
t
h
e
r
i
m
p
o
r
tan
t
m
a
n
ag
e
m
e
n
t o
r
d
e
cisi
o
n
m
a
k
i
n
g
p
er
s
o
n
)
w
ill
p
u
t
th
eir
e
x
p
ec
tatio
n
s
(
in
f
o
r
m
o
f
d
r
af
t
d
o
cu
m
en
t)
.
No
w
t
h
is
d
r
af
t
d
o
cu
m
e
n
t
w
il
l
b
e
v
er
if
ied
b
y
t
h
e
tech
n
ical
ex
p
er
ts
(
s
o
f
t
w
ar
e
en
g
i
n
ee
r
,
DB
A
etc.
)
to
e
n
s
u
r
e
th
e
v
alid
e
x
p
ec
tatio
n
s
f
r
o
m
d
e
s
ig
n
ed
d
ata
w
ar
e
h
o
u
s
e
p
r
ep
ar
e
d
f
r
o
m
v
ar
io
u
s
d
ata
s
o
u
r
ce
s
.
I
f
tech
n
ical
ex
p
er
ts
te
a
m
f
i
n
d
s
o
m
e
in
v
alid
e
x
p
ec
tat
io
n
s
o
r
s
a
y
s
o
m
e
e
x
p
ec
tatio
n
s
f
o
r
w
h
ic
h
o
u
t
d
ata
s
o
u
r
ce
s
d
o
es
n
’
t
co
n
tai
n
s
an
y
s
u
p
p
o
r
tiv
e
f
ac
t
s
w
i
ll
co
n
s
id
er
ed
f
o
r
eli
m
in
at
io
n
o
t
h
er
w
is
e
f
i
n
al
d
r
af
t
is
p
r
ep
ar
ed
an
d
s
en
d
o
r
in
f
o
r
m
ed
to
e
v
er
y
ex
p
er
ts
in
v
o
lv
ed
i
n
d
is
c
u
s
s
i
o
n
p
h
ase.
F
in
al
d
r
a
f
t
is
ac
t
u
al
l
y
q
u
er
y
s
et
s
w
h
ic
h
d
esig
n
ed
d
ata
w
ar
eh
o
u
s
e
s
o
f
t
w
ar
e
is
e
x
p
ec
ted
to
an
s
w
er
.
Ma
p
p
in
g
en
g
i
n
e
w
i
ll
co
n
tai
n
s
p
r
o
g
r
am
w
h
ic
h
is
d
esi
g
n
ed
b
y
t
h
e
s
o
f
t
w
ar
e
tea
m
in
o
r
d
er
t
o
m
ap
th
e
q
u
er
y
s
e
t
r
eq
u
ir
e
m
en
t
s
to
d
ata
s
o
u
r
ce
s
i
n
o
r
d
er
to
cr
ea
te
d
ata
w
ar
e
h
o
u
s
e.
Ma
p
p
in
g
en
g
i
n
e
will
also
co
n
tai
n
s
a
n
in
telli
g
e
n
t p
r
o
g
r
a
m
DD
S
w
h
ic
h
is
r
esp
o
n
s
ib
le
f
o
r
tr
ig
g
er
ed
u
p
d
ate.
3
.
2
.
Upda
t
e
P
ha
s
e
On
ce
w
h
e
n
th
e
f
ir
s
t
p
h
ase
is
co
m
p
leted
s
u
cc
ess
f
u
ll
y
i.e
.
r
eq
u
ir
e
m
e
n
ts
o
r
q
u
er
y
s
et
s
is
m
ap
p
ed
w
it
h
d
ata
s
o
u
r
ce
s
a
n
d
f
in
a
ll
y
d
ata
w
ar
e
h
o
u
s
e
is
b
u
ilt,
n
o
w
i
t
is
r
ea
d
y
f
o
r
it
s
u
s
er
s
to
as
k
q
u
er
ie
s
an
d
p
r
o
v
id
in
g
t
h
e
m
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
I
C
T
I
SS
N:
2252
-
8776
A
P
r
o
p
o
s
ed
DDS
E
n
a
b
le
Mo
d
el
fo
r
Da
ta
W
ereh
o
u
s
es
w
ith
R
ea
l Time
Up
d
a
tes
(
V
ir
en
d
r
a
K
u
ma
r
Ya
d
a
v
)
35
Fig
u
r
e
2
.
Dev
iatio
n
De
tectio
n
S
y
s
te
m
(
P
r
o
p
o
s
ed
A
p
p
r
o
ac
h
)
E
T
L
:
E
-
E
xtra
ctio
n
,
T
-
Tr
a
n
s
fo
r
m,
L
-
Lo
a
d
in
g
A
cto
r
s
:
C
a
n
b
e
b
u
s
in
ess
ex
p
er
ts
,
a
n
a
lysi
s
ex
p
erts
,
s
ta
ke
h
o
ld
ers
,
r
eq
u
ir
eme
n
t
en
g
in
ee
r
s
,
p
r
o
ject
ma
n
a
g
ers
etc.
Up
d
a
te:
P
erio
d
ica
lly/Tr
ig
g
ered
fr
o
m
P
a
r
titi
o
n
-
1
to
P
a
r
titi
o
n
-
2
Query
s
e
t
d
o
m
a
ins
:
D
i
{D
1
(Q
1
1
,
Q
1
2
…Q
n
n
)
,
D
2
(Q
2
1
,
Q
2
2
…Q
2
n
)
…
D
n
(Q
n
1
,
Q
n
2
…Q
n
n
)
}
a
n
d
th
eir
r
esp
ec
tive
q
u
ery
s
et
Q
i
j
w
h
ere
i =
1
,
2
,
3
.
.
.
n
&
j =1
,
2
,
3
…n
.
V
erify
a
nd
va
lid
a
te
q
u
ery
d
o
ma
in
D
i
a
n
d
th
eir
q
u
ery
s
et
Q
i
j
to
filt
er
q
u
ery
d
o
ma
in
s
fo
r
th
eir
co
r
r
ec
tn
ess
,
co
mp
leten
ess
,
co
n
s
is
ten
cy
a
n
d
to
mee
t e
xp
ec
ta
tio
n
o
f sta
ke
h
o
ld
ers
/d
ec
is
io
n
ma
ke
r
s
.
A
cc
u
r
ate
an
s
w
er
s
.
B
u
t w
h
at
a
b
o
u
t
u
p
d
ate.
As
ev
er
y
ti
m
e
d
at
a
s
o
u
r
ce
s
ar
e
r
ec
eiv
i
n
g
r
ec
o
r
d
s
an
d
th
es
e
r
ec
o
r
d
s
af
ter
th
e
E
T
L
p
r
o
ce
s
s
s
h
o
u
ld
b
e
lo
ad
ed
to
Data
w
a
r
eh
o
u
s
e
s
to
en
s
u
r
e
ac
c
u
r
ac
y
i
n
d
ec
is
io
n
m
a
k
i
n
g
.
P
r
o
p
o
s
ed
m
o
d
el
in
c
lu
d
es t
w
o
t
y
p
es
o
f
u
p
d
ates
i.e
.
p
er
io
d
icall
y
a
n
d
tr
ig
g
er
ed
u
p
d
ate.
Vir
tu
a
ll
y
d
ata
w
ar
eh
o
u
s
e
is
d
iv
id
ed
in
to
t
w
o
p
ar
ts
:
p
ar
titi
o
n
-
1
a
n
d
p
ar
titi
o
n
-
2
.
P
ar
titi
o
n
-
1
co
n
ta
in
s
th
e
c
u
r
r
en
t
ti
m
e
r
ec
o
r
d
s
w
h
ic
h
w
a
s
u
p
lo
ad
ed
to
d
ata
w
ar
eh
o
u
s
e
b
y
th
e
m
ap
p
in
g
en
g
i
n
e
f
r
o
m
d
a
ta
s
o
u
r
ce
s
af
ter
p
er
f
o
r
m
in
g
E
T
L
p
r
o
ce
s
s
.
P
a
r
tio
n
-
2
co
n
tain
s
t
h
e
h
is
to
r
ical
r
ec
o
r
d
s
o
r
r
ec
o
r
d
s
u
p
to
a
ce
r
tain
p
er
io
d
(
i.e
.
in
f
o
r
m
atio
n
b
ef
o
r
e
p
er
io
d
ic
u
p
d
ate
ca
n
ta
k
e
p
lace
)
.
Ma
p
p
in
g
e
n
g
i
n
e
w
i
ll
u
p
d
ate
th
e
d
ata
w
ar
eh
o
u
s
e
p
ar
tio
n
-
1
a
f
t
er
a
p
er
io
d
o
f
ti
m
e
a
s
d
ef
i
n
ed
i
n
m
ap
p
in
g
en
g
i
n
e
p
r
o
g
r
a
m
.
T
h
er
e
is
also
a
p
r
o
v
is
io
n
o
f
tr
ig
g
er
ed
u
p
d
ates.
T
h
is
k
i
n
d
o
f
u
p
d
ate
tak
e
s
p
lace
w
h
e
n
DDS
d
etec
ts
d
ev
iatio
n
f
r
o
m
t
h
e
ex
p
ec
ted
p
at
ter
n
.
DDS
w
h
ic
h
is
an
in
telli
g
en
t
p
r
o
g
r
a
m
e
m
b
ed
d
ed
in
m
ap
p
in
g
e
n
g
i
n
e
w
il
l
co
n
tin
u
o
u
s
l
y
m
o
n
ito
r
in
g
th
e
p
atter
n
f
r
o
m
d
ata
s
o
u
r
ce
s
.
W
h
en
DDS
d
etec
ts
d
ev
iatio
n
≥
T
dev
,
w
ill
s
et
th
e
FLAG
==
T
r
ig
g
er
ed
Up
d
ate
w
h
ich
w
il
l
r
esu
lt
i
n
i
m
m
ed
iate
u
p
d
ate
o
f
p
ar
titi
o
n
-
2
f
r
o
m
p
ar
titi
o
n
-
1
an
d
s
i
m
u
lta
n
eo
u
s
l
y
a
n
aler
t is
g
e
n
er
ated
w
h
ic
h
is
s
en
d
to
its
u
s
er
s
to
ca
tch
th
e
ir
atten
tio
n
.
4.
P
RO
P
O
SE
D
WO
RK
T
h
e
P
r
o
p
o
s
ed
alg
o
r
ith
m
i
s
as
f
o
llo
w
s
:
4
.
1
.
I
nitia
liza
t
io
n P
ha
s
e
a.
Def
i
n
e
Q
u
er
y
s
e
t
d
o
m
ai
n
s
D
i
{D
1
(Q
1
1
,
Q
1
2
…Q
n
n
)
,
D
2
(Q
2
1
,
Q
2
2
…Q
2
n
)
…
D
n
(Q
n
1
,
Q
n
2
…Q
n
n
)
}a
n
d
th
ei
r
r
esp
ec
tiv
e
q
u
er
y
s
et
Q
i
j
w
h
er
e
i =
1
,
2
,
3
.
.
.
n
&
j
=1
,
2
,
3
…n
.
b.
Ver
if
y
a
n
d
v
alid
ate
q
u
er
y
d
o
m
ai
n
D
i
an
d
th
eir
q
u
er
y
s
et
Q
i
j
to
f
ilter
q
u
er
y
d
o
m
ain
s
f
o
r
t
h
eir
co
r
r
ec
tn
ess
,
co
m
p
lete
n
e
s
s
,
co
n
s
is
te
n
c
y
an
d
to
m
ee
t
e
x
p
ec
tatio
n
o
f
s
ta
k
eh
o
ld
er
s
/d
ec
is
io
n
m
ak
er
s
.
i.e
.
if
R
i
i
s
s
et
o
f
q
u
er
ies th
at
n
ee
d
s
to
b
e
f
ilter
e
d
o
u
t f
r
o
m
d
o
m
ai
n
D
i
th
e
n
Fin
al_
q
u
er
y
_
d
o
m
ain
=
{D
i
(Q
i
j
)
-
R
i
(Q
i
j
)}
c.
P
er
f
o
r
m
E
T
L
th
r
o
u
g
h
Ma
p
p
in
g
E
n
g
i
n
e.
d.
L
o
ad
Data
_
(
E
T
L
)
(
f
r
o
m
d
ata
s
o
u
r
ce
)
in
to
DW
_
p
ar
titi
o
n
2
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
-
8
7
7
6
IJ
-
I
C
T
Vo
l.
7
,
No
.
1
,
A
p
r
il
20
1
8
:
31
–
38
36
4
.
2
.
Upda
t
e
P
ha
s
e
(
DW_
P
a
r
t
it
io
n
1
DW_
P
a
rt
it
io
n
2
)
T
h
is
p
h
ase
o
cc
u
r
u
n
d
er
t
w
o
ci
r
cu
m
s
tan
ce
s
:
A.
P
erio
d
ic
Up
d
a
te:
U
PDA
T
E
1.
Ma
p
p
in
g
en
g
i
n
e
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
DW
_
p
ar
titi
o
n
1
.
(
On
ly
n
e
w
r
ec
o
r
d
)
2.
I
f
(
T
_
p
er
io
d
≥
T
threshold
)
//
T
_
p
er
io
d
is
ti
m
e
p
er
io
d
af
ter
w
h
ic
h
DW
w
ill u
p
d
ate.
U
P
DA
T
E
Ma
p
p
in
g
en
g
i
n
e
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
DW
_
p
ar
titi
o
n
2
(
On
l
y
n
e
w
r
e
co
r
d
)
3.
if
(
T
_
p
e
r
io
d
˂
T
threshold
)
DW
_
p
ar
titi
o
n
1
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
DO
NOT
HI
NG
.
B.
Tr
ig
g
ered
Up
d
a
te:
1.
m
tr
_
Ma
p
p
in
g
_
E
n
g
i
n
e
(
N_
Dat
a
So
u
r
ce
s
,
DW
_
P
ar
titi
o
n
2
)
//
m
tr
_
Ma
p
p
in
g
_
E
n
g
i
n
e
is
m
o
n
i
to
r
in
g
a
g
e
n
t
i
n
m
ap
p
in
g
en
g
i
n
e.
if
(
d
ev
(
o
b
s
_
N
d
ata
s
o
u
r
ce
s
)
_
p
atter
n
–
d
ev
(
d
ata_
DW
_
P
ar
tio
n
2
p
atter
n
)
≥
T
dev
)
// o
b
s
_
N
d
ata
s
o
u
r
ce
s
: O
b
s
er
v
ed
p
atter
n
g
en
er
ated
th
r
o
u
g
h
n
e
w
c
u
r
r
en
t r
ec
o
r
d
s
in
d
ata
s
o
u
r
ce
s
.
//
T
dev
: D
ec
id
ed
b
y
o
r
g
an
iza
ti
o
n
m
aj
o
r
r
o
le
p
l
ay
i
n
g
ac
to
r
s
.
{
R
aise a
lar
m
SEND
AL
E
R
T
to
co
n
ce
r
n
ed
p
er
s
o
n
DW
_
p
ar
titi
o
n
1
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
DW
_
p
ar
titi
o
n
2
}
else
DO
NOT
HI
NG
4
.
3
Q
uery
P
ha
s
e
A.
A
u
th
en
tica
tio
n
lo
g
in
(
A
cto
r
_
X
,
u
s
er_
I
D,
P
W
D)
// P
W
D:
p
ass
w
o
r
d
// A
cto
r
_
X:C
o
n
ce
r
n
ed
p
er
s
o
n
if
(
en
ter
ed
_
u
s
er
_
I
D
==
R
ec
o
r
d
ed
_
u
s
er
_
I
D
&
&
e
n
ter
ed
_
u
s
er
_
P
W
D
==
R
ec
o
r
d
ed
_
P
W
D)
{
m
e
s
s
a
g
e
“
au
th
e
n
ticat
io
n
s
u
cc
ess
f
u
l”
;
m
e
s
s
a
g
e
“
as
k
q
u
er
ies”
f
r
o
m
DW
_
P
ar
titi
o
n
2
;
}
else
{
m
e
s
s
a
g
e
“
au
th
e
n
ticat
io
n
u
n
s
u
cc
es
s
f
u
l”
o
r
“
tr
y
ag
ai
n
”
g
o
b
ac
k
lo
g
in
_
s
cr
ee
n
;
}
5.
RE
SU
L
T
S
AND
O
B
SE
RVA
T
I
O
NS
Her
e
ar
e
s
o
m
e
o
f
t
h
e
q
u
er
ie
s
(
is
s
u
es)
w
h
ich
p
r
o
p
o
s
ed
m
o
d
el
is
ab
le
to
an
s
w
er
.
Qu
er
y
1
)
Ho
w
to
e
n
s
u
r
e
co
r
r
e
ct
r
eq
u
ir
e
m
en
ts
to
m
ee
t e
x
p
ec
t
atio
n
s
o
f
e
v
er
y
ac
to
r
?
Ver
if
icatio
n
an
d
v
al
id
atio
n
p
r
o
ce
d
u
r
e
in
r
eq
u
ir
e
m
e
n
ts
/e
x
p
ec
tatio
n
d
u
r
i
n
g
i
n
iti
al
izatio
n
p
h
a
s
e.
Qu
er
y
2
)
Ho
w
to
av
o
id
c
o
n
tr
ad
ictio
n
b
et
w
ee
n
ex
p
ec
t
atio
n
s
o
f
v
a
r
io
u
s
s
ta
k
eh
o
ld
er
s
an
d
d
esig
n
ed
d
ata
w
ar
eh
o
u
s
e?
B
y
i
n
v
o
l
v
i
n
g
d
atab
ase
d
esig
n
er
an
d
s
o
f
t
w
ar
e
ex
p
er
ts
in
i
n
it
ializatio
n
p
h
ase.
I
n
v
o
lv
i
n
g
d
atab
ase
d
esig
n
er
an
d
s
o
f
t
w
ar
e
e
x
p
er
ts
i
n
i
n
itia
lizat
io
n
p
h
a
s
e
w
ill
en
s
u
r
e
v
er
i
f
ica
tio
n
o
f
co
r
r
ec
t
r
eq
u
ir
e
m
e
n
ts
i
.
e.
ap
p
r
o
x
.
co
r
r
ec
t
m
ap
p
in
g
b
/
w
t
h
eir
q
u
er
y
s
et
i
n
to
r
eq
u
ir
ed
d
ata
w
ar
eh
o
u
s
e
to
m
ee
t e
x
p
ec
tat
io
n
o
f
t
h
eir
u
s
er
.
Qu
er
y
3
)
Ho
w
i
t i
m
p
r
o
v
e
s
R
E
ST
alig
n
m
en
t?
I
f
R
E
ST
alig
n
m
e
n
t is
n
o
t d
o
n
e
in
an
ef
f
ic
ien
t
m
a
n
n
er
,
it
w
ill
lead
to
d
ef
ec
tiv
e
d
ev
elo
p
m
e
n
t o
f
d
ata
w
ar
eh
o
u
s
e
o
r
s
im
p
l
y
ef
f
o
r
ts
w
ill
b
e
w
a
s
t
ed
.
Misalig
n
m
e
n
t
w
ill
lead
to
d
is
ap
p
o
in
t
m
e
n
t
as
w
h
a
t
th
e
ex
p
er
ts
ar
e
ex
p
ec
tin
g
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
I
C
T
I
SS
N:
2252
-
8776
A
P
r
o
p
o
s
ed
DDS
E
n
a
b
le
Mo
d
el
fo
r
Da
ta
W
ereh
o
u
s
es
w
ith
R
ea
l Time
Up
d
a
tes
(
V
ir
en
d
r
a
K
u
ma
r
Ya
d
a
v
)
37
f
r
o
m
d
ata
w
ar
e
h
o
u
s
e
s
o
f
t
w
ar
e
,
is
u
n
ab
le
to
a
n
s
w
er
o
r
co
n
v
i
n
ce
o
r
to
p
r
o
v
id
e
s
u
p
p
o
r
tiv
e
f
ac
ts
t
h
r
o
u
g
h
w
h
ic
h
f
o
r
ec
ast
o
r
d
ec
is
io
n
co
u
ld
b
e
tak
en
.
I
n
v
o
l
v
i
n
g
p
ar
ticip
atio
n
o
f
m
an
a
g
e
m
e
n
t
ex
p
er
ts
,
to
p
o
f
f
icials,
an
al
y
s
t
ex
p
er
ts
,
ad
v
is
o
r
s
o
r
an
y
o
th
er
ex
p
er
ts
alo
n
g
w
it
h
tec
h
n
ical
e
x
p
er
ts
d
u
r
in
g
th
e
i
n
itializa
tio
n
p
h
ase
w
il
l
en
s
u
r
e
ap
p
r
o
x
.
ac
cu
r
ate
alig
n
m
e
n
ts
.
Qu
er
y
4
)
Do
es th
e
p
r
o
p
o
s
ed
m
o
d
el
i
n
cl
u
d
e
p
r
o
v
is
io
n
f
o
r
r
ea
l ti
m
e
d
ata
w
ar
eh
o
u
s
e
u
p
d
ate
?
Yes,
p
r
o
p
o
s
ed
m
o
d
el
in
clu
d
e
s
t
w
o
t
y
p
e
s
o
f
u
p
d
ates i.
e.
p
er
io
d
ic
u
p
d
ate
≥
T
period
&
T
r
ig
g
er
ed
Up
d
ate
W
h
en
m
ap
p
in
g
en
g
i
n
e
m
o
d
u
l
e
(
in
b
u
ilt
w
it
h
d
ev
iatio
n
d
etec
tio
n
s
y
s
te
m
(
DD
S))
d
etec
t
s
o
m
e
p
atter
n
w
h
ic
h
i
s
n
o
t
ex
p
ec
ted
,
it
w
il
l
i
m
m
ed
ia
tel
y
r
aise
a
n
alar
m
a
n
d
u
p
d
ate
f
la
g
w
ill
b
e
g
en
er
ated
a
n
d
d
ata
w
ar
eh
o
u
s
e
i
s
u
p
d
ated
i
m
m
ed
iate
l
y
.
T
ab
le
2
.
C
o
m
p
ar
is
io
n
s
o
f
Mi
x
e
d
Data
Dr
iv
en
A
p
p
r
o
ac
h
es [
4
]
w
it
h
P
r
o
p
o
s
ed
A
p
p
r
o
ac
h
6.
CO
NCLU
SI
O
N
I
n
cr
ea
s
in
g
d
ep
en
d
en
c
y
o
n
d
ig
i
tal
w
o
r
ld
g
i
v
es
b
ir
th
to
r
o
le
o
f
elec
tr
o
n
ic
in
f
o
r
m
atio
n
.
I
f
p
r
o
ce
s
s
i
n
g
o
f
elec
tr
o
n
ic
i
n
f
o
r
m
atio
n
is
d
o
n
e
ef
f
ec
tiv
e
l
y
,
h
elp
s
in
d
ec
is
io
n
m
a
k
in
g
a
n
d
b
etter
f
u
t
u
r
e
f
o
r
ec
ast.
Data
w
ar
e
h
o
u
s
e
co
n
s
tr
u
ct
io
n
i
n
v
o
l
v
es
ce
r
tai
n
is
s
u
es
w
h
ic
h
n
ee
d
s
to
b
e
r
eso
lv
ed
o
r
m
i
n
i
m
ized
in
ca
s
e
if
t
h
e
y
ar
e
d
i
f
f
icu
l
t
to
eli
m
i
n
ate.
I
s
s
u
e
s
m
a
y
ar
is
e
d
u
e
to
in
co
n
s
i
s
te
n
c
y
o
f
d
ata,
co
n
f
lict
s
b
et
w
ee
n
lo
g
ic,
co
s
t,
u
s
er
ac
ce
p
tan
ce
R
E
ST
alig
n
m
e
n
t
e
tc.
I
n
t
h
is
p
ap
er
an
ap
p
r
o
ac
h
n
a
m
ed
Dev
ia
tio
n
Dete
ctio
n
S
y
s
te
m
(
DD
S)
h
as
p
r
o
p
o
s
ed
.
DDS
ap
p
r
o
ac
h
tr
ies
to
s
o
lv
e
t
h
ese
a
b
o
v
e
m
e
n
tio
n
ed
is
s
u
es
u
p
to
ce
r
tain
ex
ten
t
(
m
a
y
v
ar
y
o
r
g
a
n
iz
atio
n
to
o
r
g
an
iza
tio
n
n
ee
d
s
b
u
t
i
m
p
r
o
v
ed
o
b
s
er
v
atio
n
s
ca
n
b
e
m
ad
e)
.
Fro
m
tab
l
e
2
.
I
t
ca
n
b
e
clea
ly
o
b
s
er
v
ed
th
at
p
r
o
p
o
s
ed
alg
o
r
ith
m
r
ef
lect
i
m
p
r
o
v
ed
o
b
s
er
v
atio
n
s
.
ACK
NO
WL
E
D
G
E
M
E
NT
S
I
w
o
u
ld
lik
e
to
th
a
n
k
s
m
y
p
r
o
f
ess
o
r
s
w
h
o
o
f
co
u
r
s
e
is
ex
p
er
t
in
t
h
is
ar
ea
,
f
o
r
t
h
eir
v
al
u
ab
le
s
u
g
g
es
tio
n
s
an
d
d
is
cu
s
s
io
n
h
o
u
r
s
.
I
w
o
u
ld
lik
e
to
t
h
an
k
s
m
y
u
n
i
v
er
s
i
t
y
m
an
ag
e
m
e
n
t
f
o
r
p
r
o
v
id
in
g
m
e
t
h
e
r
eso
u
r
ce
s
w
h
ic
h
m
a
y
b
e
i
n
th
e
f
o
r
m
o
f
j
o
u
r
n
al
s
o
r
in
ter
n
et
o
r
f
in
a
n
cial
g
r
an
t
s
.
RE
F
E
R
E
NC
E
S
[1
]
In
m
o
n
W
H.
“
Bu
il
d
in
g
t
h
e
d
a
ta
w
a
re
h
o
u
se
(
se
c
o
n
d
e
d
it
io
n
)
”
.
Jo
h
n
W
il
e
y
a
n
d
S
o
n
s;
1
9
9
6
.
[2
]
Ha
d
d
a
ra
,
M
.
“
ER
P
S
e
lec
ti
o
n
:
T
h
e
S
M
A
RT
W
a
y
,
”
Pro
c
e
d
ia
T
e
c
h
n
o
l
.,
2
0
1
4
;
1
6
:
3
9
4
–
4
0
3
.
[3
]
A
n
a
s
M
.
A
ti
e
h
,
Ha
z
e
m
Ka
y
l
a
n
i,
Yo
u
se
f
A
l
-
a
b
d
a
ll
a
t,
A
b
e
e
rQa
d
e
ri,
L
u
m
a
G
h
o
u
l,
L
in
a
Ja
ra
d
a
t,
Im
a
n
Hd
a
iri
s
.
"
Per
fo
rm
a
n
c
e
imp
ro
v
e
m
e
n
t
o
f
in
v
e
n
t
o
ry
ma
n
a
g
e
me
n
t
sy
ste
m
p
ro
c
e
ss
e
s
b
y
a
n
a
u
t
o
ma
ted
wa
re
h
o
u
se
ma
n
a
g
e
me
n
t
sy
ste
m
"
.
P
u
b
li
s
h
e
d
i
n
4
8
th
CIR
P
C
o
n
f
e
re
n
c
e
o
n
M
a
n
u
f
a
c
tu
rin
g
S
y
st
e
m
s
-
CIRP
CM
S
2
0
1
5
:
5
6
8
–
5
7
2
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
-
8
7
7
6
IJ
-
I
C
T
Vo
l.
7
,
No
.
1
,
A
p
r
il
20
1
8
:
31
–
38
38
[4
]
Nu
r
Ha
n
i
Z
u
lk
if
li
A
b
a
ia,
Ja
m
a
iah
H.
Ya
h
a
y
a
b
,
A
z
iz
De
ra
m
a
n
c
.
“
Us
e
r
Req
u
ire
me
n
t
An
a
lys
is
in
Da
ta
W
a
re
h
o
u
s
e
De
sig
n
:
A
Rev
iew
”
.
P
u
b
li
s
h
e
d
i
n
p
r
o
c
e
e
d
in
g
s
o
f
4
th
In
t
e
rn
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
El
e
c
tri
c
a
l
En
g
in
e
e
rin
g
a
n
d
In
f
o
rm
a
ti
c
s (ICE
EI
2
0
1
3
),
8
0
1
–
8
0
6
.
[5
]
W
.
H.
In
m
o
n
.
Bu
il
d
i
n
g
th
e
Da
ta
W
a
re
h
o
u
se
.
5
th
Ed
i
ti
o
n
.
J
o
h
n
W
il
e
y
&
S
o
n
s; 2
0
0
5
.
[6
]
J.
-
N.
M
a
z
o
n
,
J.
T
ru
ji
ll
o
,
M
.
S
e
rra
n
o
,
M
.
P
iatti
n
i.
De
sig
n
in
g
Da
ta
Ware
h
o
u
se
s:
F
ro
m
Bu
sin
e
ss
Re
q
u
ire
m
e
n
t
A
n
a
l
y
sis
to
M
u
lt
id
im
e
sio
n
a
lM
o
d
e
ll
i
n
g
.
1
st
In
tern
a
ti
o
n
a
l
W
o
rk
sh
o
p
o
n
Re
q
u
irem
e
n
ts
En
g
in
e
e
rin
g
F
o
r
Bu
si
n
e
s
s
Ne
e
d
A
n
d
It
A
li
g
n
m
e
n
t,
2
0
0
5
:
44
–
5
3
.
[7
]
J.
S
c
h
ief
e
r,
R.
M
.
Bru
c
k
n
e
r,
B.
L
ist.
“
A
Ho
li
st
ic
Ap
p
ro
a
c
h
Fo
r
M
a
n
a
g
in
g
Req
u
ire
me
n
ts
Of
D
a
ta
W
a
re
h
o
u
se
S
y
ste
ms
”
.
Ei
g
h
t
A
m
e
rica
sCo
n
fe
r
e
n
c
e
o
n
I
n
f
o
rm
a
ti
o
n
S
y
ste
m
s,
2
0
0
2
:
77
–
8
7
.
[8
]
F
.
R
i.
S
.
P
a
im
,
J.
F
.
B.
d
e
Ca
str
o
.
DW
AR
F:
An
a
p
p
r
o
a
c
h
fo
r
re
q
u
ire
me
n
ts
d
e
fi
n
i
ti
o
n
a
n
d
ma
n
a
g
e
me
n
t
o
f
Da
t
a
W
a
re
h
o
u
se
S
y
ste
ms
.
P
r
o
c
e
e
d
in
g
s
o
f
th
e
1
1
th
IEE
E
In
tern
a
ti
o
n
a
l
Re
q
u
irem
e
n
ts
En
g
in
e
e
rin
g
Co
n
f
e
re
n
c
e
;
2
003
:
75
–
8
4
.
[9
]
R.
Kim
b
a
ll
,
M
.
R
o
ss
,
W
.
T
h
o
rn
th
w
a
it
e
,
J.
M
u
n
d
y
,
B.
Be
c
k
e
r.
“
T
h
e
Da
ta
W
a
re
h
o
u
se
L
if
e
c
y
c
l
e
T
o
o
lk
it
”
.
In
d
ian
a
p
o
li
s
:
W
il
e
y
P
u
b
l
ish
i
n
g
,
In
c
;
2
0
0
8
.
[1
0
]
J.
-
N.
M
a
z
o
n
,
J
.
T
ru
ji
ll
o
,
M
.
S
e
rra
n
o
,
M
.
P
iatti
n
i
.
“
De
sig
n
i
n
g
D
a
ta
W
a
re
h
o
u
se
s:
Fro
m
B
u
sin
e
ss
Req
u
ire
me
n
t
An
a
lys
is
to
M
u
lt
i
d
ime
sio
n
a
lM
o
d
e
ll
in
g
”
.
1
s
t
In
tern
a
ti
o
n
a
l
W
o
rk
sh
o
p
On
Re
q
u
irem
e
n
ts
En
g
in
e
e
rin
g
F
o
r
Bu
si
n
e
s
s
Ne
e
d
A
n
d
It
A
li
g
n
m
e
n
t;
2
0
0
5
:
44
–
5
3
.
[1
1
]
N.
Ju
k
ic,
J.
Nic
h
o
las
.
“
A
Fra
me
wo
rk
fo
r
Req
u
ire
me
n
t
C
o
ll
e
c
ti
o
n
a
n
d
De
fi
n
it
io
n
Pr
o
c
e
ss
fo
r
Da
t
a
W
a
re
h
o
u
si
n
g
Pro
jec
ts
”
.
P
r
o
c
e
e
d
in
g
o
f
th
e
In
ter
n
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
In
f
o
rm
a
ti
o
n
T
e
c
h
n
o
l
o
g
y
In
terfa
c
e
;
2
0
1
0
.
p
.
1
8
7
–
1
9
2
.
[1
2
]
M
.
Ku
m
a
r,
A
.
G
o
sa
in
,
Y.
S
in
g
h
.
“
Ag
e
n
t
Orie
n
ted
Re
q
u
irem
e
n
ts
En
g
in
e
e
rin
g
f
o
r
a
Da
ta
W
a
re
h
o
u
s
e
A
CM
S
IG
S
OF
T
S
o
f
tw
a
r
e
En
g
in
e
e
rin
g
No
tes
”
.
ACM
S
IGS
OFT
S
o
ft
w
a
re
En
g
i
n
e
e
rin
g
No
tes
2
0
0
9
;
2
4
(
5
):
3
–
6.
[1
3
]
R.
W
in
ter,
B.
S
trau
c
h
.
“
In
f
o
rm
a
ti
o
n
re
q
u
ire
me
n
ts
e
n
g
in
e
e
rin
g
fo
r
d
a
ta
w
a
re
h
o
u
se
sy
ste
ms
”
.
P
ro
c
e
e
d
i
n
g
s
o
f
th
e
2
0
0
4
A
CM
s
y
m
p
o
siu
m
o
n
A
p
p
li
e
d
c
o
m
p
u
ti
n
g
,
2
0
0
4
.
[1
4
]
Sh
a
o
YiCh
u
a
n
,
X
i
n
g
ji
a
Ya
o
.
“
Re
se
a
rc
h
o
f
Re
a
l
-
ti
m
e
D
a
ta
W
a
re
h
o
u
se
S
t
o
ra
g
e
S
trate
g
y
Ba
se
d
o
n
M
u
lt
i
-
lev
e
l
Ca
c
h
e
s
”
.
P
u
b
li
s
h
e
d
in
2
0
1
2
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
S
o
li
d
S
t
a
te
De
v
ice
s
a
n
d
M
a
ter
ia
ls
S
c
ien
c
e
(
P
h
y
sic
s
P
r
o
c
e
d
ia
25
,
2
0
1
2
:
2
3
1
5
–
2
3
2
1
)
.
[1
5
]
G
o
g
u
e
n
J.
e
t.
a
l,
“
T
e
c
h
n
iq
u
e
s
fo
r
Req
u
ire
me
n
ts
El
icit
a
ti
o
n
”
,
P
r
o
c
.
o
f
In
t.
S
y
m
p
.
o
n
Re
q
u
irem
e
n
ts
En
g
in
e
e
rin
g
,
IEE
E
Co
m
p
u
ter S
o
c
iety
P
re
ss
,
1
9
9
3
.
[1
6
]
Ha
rriso
n
,
M
.
,
Zav
e
,
P
.
“
Go
a
l
-
Dr
i
v
e
n
Req
u
ire
me
n
ts
En
g
in
e
e
rin
g
:
M
o
d
e
li
n
g
a
n
d
Gu
i
d
a
n
c
e
”
Co
n
f
e
re
n
c
e
P
r
o
c
e
e
d
in
g
o
f
th
e
S
e
c
o
n
d
IEE
E
In
tern
a
ti
o
n
a
l
S
y
m
p
o
siu
m
o
n
Re
q
u
irem
e
n
ts
En
g
in
e
e
rin
g
,
IEE
E
C
o
m
p
u
ter
S
o
c
iet
y
P
re
ss
,
L
o
s
A
la
m
it
o
s
,
Ca
li
f
o
rn
ia.
1
9
9
5
(e
d
.
)
.
[1
7
]
Ha
u
m
e
r
P
.
,
e
t.
a
l.
,
“
Re
q
u
irem
e
n
ts
El
icitatio
n
a
n
d
V
a
li
d
a
ti
o
n
w
it
h
Re
a
l
W
o
rld
S
c
e
n
e
s”
,
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
S
o
ft
w
a
re
En
g
in
e
e
rin
g
,
1
9
9
8
;
2
4
(1
2
),
S
p
e
c
i
a
l
Iss
u
e
o
n
S
c
e
n
a
rio
M
a
n
a
g
e
m
e
n
t
.
[1
8
]
A
n
n
M
.
Hic
k
e
y
,
A
l
a
n
M
.
Da
v
is “
El
icita
ti
o
n
T
e
c
h
n
i
q
u
e
S
e
lec
ti
o
n
:
Ho
w
Do
Ex
p
e
rts Do
It
?
”
,
IEE
E,
2
0
0
3
.
[1
9
]
Eri
c
S
.
K.
Y
u
“
T
o
w
a
rd
s
M
o
d
e
ll
in
g
a
n
d
Rea
so
n
in
g
S
u
p
p
o
rt
fo
r
Ea
rl
y
-
Ph
a
se
Req
u
ire
me
n
ts
En
g
in
e
e
rin
g
”
,
IEE
E
,
1
9
9
7
Evaluation Warning : The document was created with Spire.PDF for Python.