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m
t
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a
c
a
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d
a
ta
a
n
d
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rn
t
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e
m
in
to
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to
m
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rig
h
t
stra
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ic
d
e
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isio
n
s.
In
th
is
p
a
p
e
r
,
a
ro
a
d
m
a
p
f
o
r
i
m
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m
e
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ti
n
g
a
d
a
ta
d
riv
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n
d
e
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isio
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p
o
rt
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ste
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re
se
n
ted
b
a
se
d
o
n
a
n
e
d
u
c
a
ti
o
n
a
l
d
a
ta
m
a
rt.
T
h
e
in
d
e
p
e
n
d
e
n
t
d
a
ta
m
a
rt
is
im
p
le
m
e
n
ted
o
n
th
e
stu
d
e
n
ts’
d
e
g
re
e
s
in
8
su
b
jec
ts
in
a
p
riv
a
te
s
c
h
o
o
l
(A
l
-
Isk
a
n
d
a
ria
P
rim
a
r
y
S
c
h
o
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l
i
n
Ba
sra
h
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v
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e
,
Ira
q
).
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h
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im
p
le
m
e
n
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a
d
m
a
p
is
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ted
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ro
m
p
re
-
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ro
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e
ss
in
g
p
a
p
e
r
-
b
a
se
d
d
a
ta
so
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rc
e
a
n
d
e
n
d
e
d
w
it
h
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ro
v
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g
th
re
e
c
a
teg
o
ries
o
f
o
n
li
n
e
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n
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ly
ti
c
a
l
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ro
c
e
ss
in
g
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P
)
q
u
e
ries
(m
u
lt
id
im
e
n
sio
n
a
l
OLA
P
,
d
e
sk
to
p
OLA
P
a
n
d
w
e
b
O
LA
P
).
Ke
y
p
e
r
f
o
r
m
a
n
c
e
in
d
ica
to
r
(K
P
I)
is i
m
p
le
m
e
n
ted
a
s
a
n
e
ss
e
n
ti
a
l
p
a
rt
o
f
e
d
u
c
a
ti
o
n
a
l
DSS
to
m
e
a
su
re
sc
h
o
o
l
p
e
rf
o
rm
a
n
c
e
.
T
h
e
sta
ti
c
e
v
a
lu
a
ti
o
n
m
e
th
o
d
sh
o
w
s th
a
t
th
e
p
ro
p
o
se
d
DSS
f
o
ll
o
w
s th
e
p
riv
a
c
y
,
se
c
u
rit
y
a
n
d
p
e
rf
o
rm
a
n
c
e
a
sp
e
c
ts
w
it
h
n
o
e
rro
rs
a
f
ter
in
sp
e
c
ti
n
g
th
e
DSS
k
n
o
w
led
g
e
b
a
se
.
T
h
e
e
v
a
lu
a
ti
o
n
sh
o
w
s
th
a
t
th
e
d
a
ta
d
riv
e
n
DSS
b
a
se
d
o
n
in
d
e
p
e
n
d
e
n
t
d
a
ta
m
a
rt
w
it
h
KP
I
,
OLA
P
is
o
n
e
o
f
th
e
b
e
st
p
latf
o
r
m
s
to
su
p
p
o
r
t
sh
o
rt
-
to
-
lo
n
g
term
a
c
a
d
e
m
ic d
e
c
isio
n
s.
K
ey
w
o
r
d
s
:
Dec
is
io
n
s
u
p
p
o
r
t s
y
s
te
m
E
d
u
ca
tio
n
al
d
ata
m
ar
t
E
T
L
I
n
d
ep
en
d
en
t d
ata
m
ar
t
KP
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OL
A
P
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h
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s
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p
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n
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rticle
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n
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.
iq
1.
I
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D
UCT
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p
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s
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ar
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t
s
m
a
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n
d
atab
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m
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is
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ata
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elate
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b
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ata
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to
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ase
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‘
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to
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th
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r
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e
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tai
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s
p
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u
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h
o
w
to
tr
an
s
f
er
t
h
e
m
e
r
g
ed
d
ata
[
1
]
.
Data
w
ar
e
h
o
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s
e
(
DW
)
ca
n
b
e
d
ef
i
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as
a
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j
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t
-
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ian
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n
te
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ated
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d
n
o
n
-
v
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latile
d
ata
u
s
ed
to
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u
p
p
o
r
t
s
tr
ateg
ic
d
ec
i
s
io
n
m
a
k
in
g
[
2
]
.
DW
h
o
ld
s
a
co
llect
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n
o
f
p
er
m
a
n
e
n
t
h
is
to
r
ical
d
ata
th
at
a
s
s
i
s
ts
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n
ad
m
in
i
s
tr
ati
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d
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is
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m
a
k
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to
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elp
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th
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u
r
p
o
s
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m
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al
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s
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s
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n
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g
e
d
is
co
v
er
y
an
d
d
ec
is
io
n
m
a
k
i
n
g
[
3
]
.
I
t
is
s
p
ec
if
icall
y
d
esi
g
n
ed
to
ex
tr
ac
t,
p
r
o
ce
s
s
an
d
r
ep
r
esen
t
d
ata
in
a
s
u
itab
le
f
o
r
m
at
f
o
r
th
i
s
p
u
r
p
o
s
e.
T
h
e
d
ata
ex
tr
ac
ted
f
r
o
m
d
if
f
er
e
n
t
s
o
u
r
ce
s
,
r
u
les,
s
y
s
t
e
m
s
a
n
d
p
lace
s
ar
e
d
ef
in
ed
as
a
k
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n
d
o
f
d
atab
ase
th
at
co
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tai
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s
a
h
u
g
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a
m
o
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n
t
o
f
ex
is
ti
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d
ata
to
h
elp
in
m
ak
in
g
d
ec
is
io
n
s
w
ith
i
n
an
o
r
g
an
izat
io
n
[
4
]
.
T
h
e
in
ter
io
r
in
ten
tio
n
o
f
a
u
s
er
r
eq
u
ir
es
i
n
d
icato
r
s
,
w
h
ic
h
ar
e
s
y
s
te
m
s
n
ee
d
ed
f
o
r
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
11
,
No
.
6
,
Dec
em
b
er
2
0
2
1
:
5
3
0
1
-
5
3
1
4
5302
s
tu
d
y
in
g
,
an
al
y
s
in
g
an
d
p
r
esen
ti
n
g
e
n
ter
p
r
is
e
d
ata
in
a
m
a
n
n
er
t
h
at
en
ab
les
s
e
n
io
r
m
a
n
ag
e
m
e
n
t
to
m
ak
e
d
ec
is
io
n
s
[
5
]
,
[
6
]
.
T
h
e
t
y
p
e
o
f
DW
th
at
a
n
o
r
g
a
n
izatio
n
s
h
o
u
ld
ad
o
p
t
d
ep
en
d
s
o
n
th
e
w
a
y
t
h
at
t
h
e
o
r
g
an
izatio
n
w
o
r
k
s
an
d
t
h
e
t
y
p
e
o
f
d
ec
is
io
n
s
u
p
p
o
r
t
s
y
s
te
m
(
DSS)
it
n
ee
d
s
.
On
e
o
f
th
e
s
i
m
p
lest
t
y
p
es
o
f
d
ata
r
ep
o
s
i
to
r
ies
is
th
e
o
p
er
atio
n
al
d
ata
s
to
r
e
(
ODS)
,
a
p
r
o
d
u
ctio
n
d
atab
ase
th
at
h
as
b
ee
n
r
ep
licated
af
ter
er
r
o
r
s
h
av
e
b
ee
n
p
r
o
ce
s
s
ed
.
ODS
i
s
p
r
i
m
ar
il
y
u
s
ed
to
co
m
p
lete
s
ta
n
d
ar
d
p
r
o
ce
s
s
r
ep
o
r
ts
an
d
p
r
o
v
id
e
d
etails
o
f
b
u
s
i
n
ess
tr
an
s
ac
tio
n
s
f
o
r
s
u
m
m
ar
y
a
n
al
y
s
is
[
7
]
,
[
8
]
.
A
n
o
t
h
er
t
y
p
e
o
f
DW
i
s
ca
lled
d
ata
m
ar
t,
w
h
ic
h
is
a
li
m
ited
u
s
e
o
r
s
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n
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le
-
u
s
e
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y
s
t
e
m
t
h
at
ca
n
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e
u
s
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to
a
n
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y
s
e
s
p
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if
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i
n
f
o
r
m
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n
i
n
a
s
p
ec
if
ic
ar
ea
o
r
f
o
r
a
s
p
ec
if
ic
p
r
o
d
u
ctio
n
lin
e.
Data
s
to
r
es
u
s
u
al
l
y
co
n
tai
n
o
n
l
y
s
u
m
m
ar
y
d
ata
b
u
t
ca
n
b
e
lin
k
ed
t
o
ODS
f
o
r
d
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i
n
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in
to
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s
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n
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etails
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.
Data
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n
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h
n
o
lo
g
y
(
I
T
)
d
ep
ar
tm
e
n
ts
i
n
co
m
p
an
ie
s
b
u
t
ca
n
also
b
e
m
a
n
ag
ed
b
y
u
s
er
s
in
a
p
ar
ticu
lar
d
ep
ar
tm
e
n
t
o
r
g
r
o
u
p
[
9
]
.
Ma
n
y
t
y
p
es
a
n
d
ap
p
licatio
n
s
u
s
e
D
W
s
an
d
d
ata
m
ar
ts
to
s
u
p
p
o
r
t
s
tr
ateg
ic
d
ec
i
s
io
n
s
,
s
u
ch
as
cl
i
n
ical
p
at
h
[
1
0
]
-
[
1
2
]
,
ca
n
ce
r
DW
[
1
3
]
,
ed
u
ca
tio
n
al
h
ea
lt
h
DW
[
1
4
]
,
HR
DW
[
1
5
]
,
co
m
p
lian
t
DW
[
1
6
]
,
h
u
m
a
n
r
eso
u
r
ce
DW
[
1
6
]
an
d
s
ec
u
r
it
y
DW
[
1
7
]
.
E
d
u
ca
tio
n
al
s
taf
f
m
e
m
b
er
s
al
w
a
y
s
n
ee
d
n
e
w
tec
h
n
o
lo
g
ies
t
h
at
s
u
p
p
o
r
t
th
eir
d
ec
is
i
o
n
s
;
t
h
ese
m
e
m
b
er
s
s
ee
k
d
i
f
f
er
e
n
t
to
o
ls
an
d
ap
p
licatio
n
s
to
s
u
p
p
o
r
t
th
eir
d
ec
is
io
n
s
o
n
t
h
e
b
as
is
o
f
d
if
f
er
en
t
a
lg
o
r
it
h
m
s
an
d
tech
n
iq
u
es,
s
u
c
h
as
m
ac
h
in
e
lear
n
i
n
g
an
d
d
ata
m
in
i
n
g
alg
o
r
ith
m
s
[
1
8
]
-
[
2
5
]
,
m
o
b
ile
lear
n
in
g
[
2
6
]
,
DSSs
[
2
7
]
an
d
w
eb
-
b
ased
to
o
ls
[
2
8
]
.
T
h
e
d
ec
is
io
n
s
m
ad
e
o
n
t
h
e
b
asis
o
f
p
r
ev
io
u
s
s
t
u
d
ies
an
d
s
o
lid
an
al
y
tical
r
esu
lt
s
ar
e
m
o
r
e
co
n
s
id
er
ab
le
an
d
r
ea
s
o
n
ab
le
th
a
n
b
ef
o
r
e.
E
d
u
ca
tio
n
al
DW
is
t
h
e
b
est
s
o
l
u
tio
n
t
h
at
p
r
o
v
id
es
o
n
lin
e
a
n
al
y
tical
r
e
s
u
l
ts
o
n
t
h
e
b
asis
o
f
a
m
u
ltid
i
m
en
s
io
n
al
v
ie
w
o
f
O
L
A
P
q
u
er
ies
f
o
r
all
ed
u
ca
tio
n
al
s
tak
e
h
o
ld
er
s
(
p
r
o
f
ess
o
r
s
,
lectu
r
er
s
,
m
a
n
a
g
er
s
an
d
d
ec
is
io
n
m
ak
er
s
)
.
E
d
u
ca
tio
n
al
DW
p
r
o
v
id
es
a
lar
g
e
v
ie
w
o
f
th
e
p
er
f
o
r
m
a
n
ce
o
f
al
l
s
t
u
d
en
ts
an
d
allo
w
s
th
e
m
to
d
etec
t
th
e
o
b
s
tacle
s
i
n
t
h
eir
p
r
o
g
r
es
s
[
2
9
]
.
E
d
u
ca
tio
n
al
DW
ca
n
also
b
e
u
s
ed
f
o
r
th
e
f
u
tu
r
e
ap
p
licatio
n
s
o
f
d
ata
m
i
n
in
g
to
i
m
p
le
m
en
t
a
ll
tec
h
n
iq
u
es
a
n
d
alg
o
r
it
h
m
s
th
at
ca
n
b
e
i
m
p
le
m
e
n
ted
o
n
h
u
g
e
ed
u
ca
tio
n
al
h
i
s
to
r
ical
r
ec
o
r
d
s
in
s
tead
o
f
a
s
m
al
l
d
ataset.
T
h
e
u
s
e
o
f
ed
u
ca
tio
n
al
DW
ca
n
e
f
f
ec
ti
v
el
y
r
ed
u
ce
ed
u
ca
tio
n
a
l e
r
r
o
r
s
th
at
af
f
ec
t a
ca
d
e
m
ic
d
ec
is
io
n
m
ak
in
g
[
3
0
]
,
[
3
1
]
.
DSS
is
a
n
es
s
en
t
ial
p
latf
o
r
m
f
o
r
m
a
k
i
n
g
r
i
g
h
t
s
tr
ate
g
ic
d
ec
is
io
n
s
.
T
h
e
DSS
t
y
p
e
ca
n
b
e
d
eter
m
i
n
ed
o
n
th
e
b
asis
o
f
th
e
p
u
r
p
o
s
e
o
f
th
e
DSS,
th
e
t
y
p
e
o
f
k
n
o
w
le
d
g
e
an
d
tar
g
et
u
s
er
s
.
DS
S
ca
n
b
e
ca
teg
o
r
is
ed
in
to
f
i
v
e
t
y
p
es:
k
n
o
w
led
g
e
-
,
m
o
d
el
-
,
d
ata
-
,
d
o
cu
m
en
t
-
a
n
d
co
m
m
u
n
ica
tio
n
-
d
r
iv
e
n
DSS.
Mo
d
el
-
d
r
iv
en
DSS
allo
w
s
d
ec
is
io
n
m
a
k
er
s
to
ch
o
o
s
e
am
o
n
g
o
p
tio
n
s
o
n
th
e
b
asi
s
o
f
li
m
ited
d
ata
an
d
o
p
tio
n
s
.
Kn
o
w
led
g
e
-
d
r
i
v
en
DS
S
co
v
er
s
m
an
y
k
i
n
d
s
o
f
s
y
s
te
m
s
w
it
h
in
o
r
g
an
i
s
atio
n
s
;
i
t
p
r
o
v
i
d
es
an
ad
v
ice
m
an
a
g
e
m
e
n
t
p
r
o
ce
s
s
o
r
s
er
v
ice
an
d
p
r
o
d
u
ct
s
elec
tio
n
.
Data
-
d
r
iv
e
n
DSS
co
n
ce
n
tr
ates
o
n
a
d
ec
is
io
n
an
d
m
a
n
ip
u
la
tes
th
e
d
ata
to
f
it
th
e
d
ec
is
io
n
w
h
er
e
t
h
e
d
ata
ca
n
b
e
i
n
d
i
f
f
er
en
t
f
o
r
m
at
s
.
T
ar
g
et
u
s
er
s
ar
e
m
a
n
a
g
er
s
a
n
d
s
tak
e
h
o
ld
er
s
.
Do
cu
m
en
t
-
d
r
i
v
en
DSS
tar
g
e
ts
a
s
p
ec
i
f
ic
g
r
o
u
p
o
f
u
s
er
s
o
n
t
h
e
b
asi
s
o
f
a
d
o
cu
m
en
t
s
ea
r
ch
o
n
th
e
w
eb
;
a
m
e
ch
an
i
s
m
is
r
eq
u
ir
ed
f
o
r
r
etr
iev
in
g
r
elate
d
d
o
cu
m
en
ts
to
s
u
p
p
o
r
t
d
ec
is
io
n
s
.
C
o
m
m
u
n
ica
tio
n
-
d
r
iv
e
n
DSS
p
r
o
v
id
es
a
s
h
ar
ed
d
ash
b
o
ar
d
f
o
r
m
a
k
i
n
g
d
ec
is
io
n
s
f
o
r
m
o
r
e
th
a
n
o
n
e
p
er
s
o
n
in
a
s
in
g
le
s
h
ar
ed
task
[
3
2
]
.
Data
m
ar
t
is
u
s
ed
in
th
i
s
m
o
d
el
as
t
h
e
b
ase
o
f
th
e
d
ata
-
d
r
iv
e
n
ed
u
ca
tio
n
a
l
DSS
th
r
o
u
g
h
t
h
e
i
m
p
le
m
en
ta
tio
n
o
f
s
p
ec
i
f
ic
s
c
h
o
o
l
d
ata
an
d
an
a
l
y
s
is
o
f
e
x
e
cu
ti
v
e
i
n
f
o
r
m
atio
n
s
y
s
te
m
s
.
T
h
is
p
ap
er
p
r
esen
t
s
th
e
s
ta
g
e
s
o
f
i
m
p
le
m
en
tin
g
a
n
ed
u
ca
tio
n
al
i
n
d
ep
en
d
en
t
d
ata
m
ar
t,
s
tar
ti
n
g
f
r
o
m
s
elec
t
in
g
t
h
e
p
r
o
p
er
ap
p
r
o
ac
h
o
f
d
esi
g
n
to
i
m
p
le
m
e
n
ti
n
g
O
L
A
P
q
u
er
ies
an
d
KP
I
.
T
h
e
i
m
p
le
m
e
n
tat
io
n
s
tar
ts
w
it
h
co
n
v
er
ti
n
g
t
h
e
p
ap
er
-
b
ased
ed
u
ca
tio
n
al
d
ata
o
f
s
tu
d
en
t
r
ec
o
r
d
s
in
to
elec
tr
o
n
ic
e
d
u
ca
tio
n
al
r
ec
o
r
d
s
.
T
h
e
d
ata
m
ar
t
s
ta
g
in
g
ar
ea
is
p
r
ep
ar
e
d
to
ex
tr
ac
t
elec
tr
o
n
ic
s
tu
d
en
ts
’
r
ec
o
r
d
s
an
d
i
m
p
lem
en
t
all
ex
tr
ac
tio
n
,
tr
an
s
f
o
r
m
atio
n
a
n
d
lo
ad
in
g
(
E
T
L
)
p
r
o
ce
s
s
es.
Star
s
c
h
e
m
a
is
ch
o
s
e
n
as
a
n
ar
ch
itec
tu
r
e
o
f
d
ata
m
ar
t
f
o
r
its
e
ase
o
f
i
m
p
l
e
m
en
tatio
n
,
ea
s
e
o
f
lo
ad
an
d
f
ast
OL
A
P
q
u
er
y
r
esp
o
n
s
e.
T
h
e
e
d
u
ca
tio
n
al
cu
b
e
is
b
u
ilt
to
i
m
p
le
m
e
n
t
O
L
A
P
q
u
er
ies.
T
h
r
ee
t
y
p
e
s
o
f
r
es
u
lt
v
ie
w
i
n
g
ar
e
li
s
ted
s
t
r
u
ctu
r
ed
q
u
er
y
la
n
g
u
a
g
e
(
SQ
L
)
s
er
v
er
i
n
te
g
r
atio
n
s
er
v
ice
s
(
SS
I
S
)
c
u
b
e
v
ie
w
,
o
n
lin
e
r
ep
o
r
ts
an
d
o
f
f
li
n
e
e
x
c
el
p
iv
o
t
r
ep
o
r
ts
)
.
SQ
L
s
er
v
er
m
an
a
g
e
m
e
n
t
s
t
u
d
io
(
SS
MS
)
2
0
1
4
is
u
s
ed
to
s
to
r
e
an
d
i
m
p
le
m
e
n
t
ed
u
ca
tio
n
al
d
a
ta
m
ar
t
o
b
j
ec
ts
(
d
ata
m
ar
t
s
c
h
e
m
a
a
n
d
s
ta
g
i
n
g
ar
ea
)
.
E
T
L
i
s
i
m
p
le
m
e
n
ted
an
d
d
esig
n
ed
b
y
S
SIS
2
0
1
4
,
w
h
er
e
SQL
s
er
v
er
an
al
y
s
i
s
s
er
v
ices
(
SS
A
S
)
2
0
1
4
is
u
s
ed
to
d
esig
n
a
n
d
co
n
s
tr
u
ct
th
e
ed
u
ca
tio
n
al
c
u
b
e.
L
ik
e
w
is
e,
SS
R
S
2
0
1
4
is
u
s
ed
f
o
r
d
esi
g
n
i
n
g
r
ep
o
r
ts
.
A
ll
t
h
e
i
m
p
le
m
en
ted
p
r
o
j
ec
ts
ar
e
d
ep
lo
y
ed
b
y
SQ
L
s
er
v
er
d
ata
t
o
o
ls
(
SS
DT
)
,
as th
is
to
o
l p
r
o
v
i
d
es th
e
ab
ilit
y
to
cr
ea
te
a
n
d
d
e
p
lo
y
(
SS
I
S,
SS
A
S
an
d
SQ
L
s
er
v
er
r
ep
o
r
tin
g
s
er
v
ices
(
SS
R
S
)
)
p
r
o
j
ec
ts
.
T
h
e
r
est
o
f
th
is
p
ap
er
is
o
r
g
an
is
ed
is
b
ein
g
as
:
Sect
io
n
2
an
al
y
s
es
a
n
d
d
is
cu
s
s
es
t
h
e
r
elate
d
w
o
r
k
s
an
d
p
r
esen
ts
th
e
s
tr
o
n
g
p
o
i
n
t
s
in
t
h
ese
w
o
r
k
s
.
Sect
io
n
3
ex
p
lain
s
t
h
e
m
o
d
el
i
m
p
le
m
e
n
t
atio
n
r
o
ad
m
ap
an
d
d
etails
ea
ch
s
tep
o
f
t
h
e
m
o
d
el
i
m
p
le
m
e
n
tat
io
n
.
Sectio
n
4
co
n
clu
d
e
s
th
e
p
o
in
t
s
d
er
iv
ed
f
r
o
m
th
e
m
o
d
el
r
esu
l
t
an
d
p
r
esen
ts
t
h
e
f
u
t
u
r
e
w
o
r
k
s
th
at
ca
n
b
e
i
m
p
le
m
e
n
ted
o
n
ed
u
ca
tio
n
al
d
ata
m
ar
t.
2.
RE
L
AT
E
D
WO
RK
S
S
m
y
r
n
a
k
i
[
33
]
p
r
o
p
o
s
ed
a
m
o
d
el
b
ased
o
n
DW
to
i
m
p
le
m
e
n
t
a
DS
S
i
n
o
r
d
er
to
s
u
p
p
o
r
t
d
ec
is
io
n
s
.
T
h
e
p
r
o
p
o
s
ed
s
y
s
te
m
in
teg
r
a
ted
a
h
eter
o
g
en
eo
u
s
s
o
u
r
ce
s
u
s
ed
f
o
r
d
if
f
er
e
n
t
p
u
r
p
o
s
es
s
u
ch
a
s
ed
u
ca
tio
n
,
f
i
n
an
cia
l
a
n
d
m
an
a
g
er
ial
d
ec
is
io
n
s
.
T
h
e
r
es
u
lts
co
n
d
u
cted
t
h
e
i
n
te
g
r
atio
n
o
f
m
u
lt
ip
le
h
et
er
o
g
en
eo
u
s
s
o
u
r
ce
s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
I
mp
leme
n
tin
g
d
a
ta
-
d
r
iven
d
ec
is
io
n
s
u
p
p
o
r
t sys
tem
b
a
s
ed
o
n
in
d
ep
en
d
en
t
…
(
A
la
a
K
h
a
la
f H
a
mo
u
d
)
5303
o
f
d
ata
w
ill
b
e
a
u
s
e
f
u
l
p
lat
f
o
r
m
f
o
r
b
o
th
o
f
ed
u
ca
tio
n
al
lea
d
er
s
h
ip
an
d
q
u
alit
y
as
s
u
r
an
ce
u
n
it.
Ne
x
t,
Su
m
a
n
et
a
l
.
[
34
]
p
r
o
p
o
s
ed
a
DW
t
o
s
o
lv
e
m
a
n
y
c
h
alle
n
g
es
i
n
t
h
e
h
i
g
h
er
ed
u
ctio
n
ce
n
ter
.
T
h
ese
c
h
alle
n
g
e
s
ar
e
f
ac
i
n
g
t
h
e
d
esig
n
er
th
r
o
u
g
h
o
u
t
th
e
d
esig
n
in
g
p
r
o
ce
s
s
s
u
c
h
as
th
e
o
v
er
all
s
y
s
te
m
d
esi
g
n
,
th
e
m
a
in
p
r
o
ce
s
s
es
o
f
ex
tr
ac
tio
n
,
tr
an
s
f
o
r
m
atio
n
,
a
n
d
lo
ad
in
g
,
an
d
p
er
f
o
r
m
i
n
g
th
e
an
al
y
s
i
s
p
r
o
ce
s
s
es
u
s
in
g
m
u
ltid
i
m
e
n
s
io
n
al
q
u
er
ies
b
ased
O
L
A
P
.
T
h
e
to
o
l
u
s
ed
f
o
r
d
ev
e
lo
p
in
g
DW
i
s
Mo
n
d
r
ian
a
n
d
P
en
ta
h
o
b
u
s
i
n
e
s
s
i
n
tell
ig
e
n
ce
to
o
l.
Ho
w
e
v
er
,
th
e
p
r
o
p
o
s
ed
s
y
s
tem
s
d
id
n
o
t
i
m
p
le
m
e
n
t
KP
I
as
an
ess
e
n
tia
l
co
m
p
o
n
en
t
in
t
h
e
d
ec
is
io
n
m
ak
i
n
g
p
r
o
ce
s
s
.
Mih
ai
et
a
l.
[
35
]
p
r
o
p
o
s
ed
u
s
in
g
e
n
ter
p
r
is
e
d
ata
w
ar
e
h
o
u
s
e
(
E
DW
)
to
s
u
p
p
o
r
t
ac
ad
em
ic
d
ec
is
io
n
s
i
n
ed
u
ca
tio
n
al
i
n
s
t
itu
tio
n
s
.
T
h
e
d
esig
n
an
d
i
m
p
le
m
e
n
tat
io
n
p
r
o
ce
s
s
p
r
o
ce
ed
ed
v
ia
t
w
o
s
te
p
s
;
th
e
f
ir
s
t
o
n
e
is
i
m
p
le
m
en
t
in
g
E
DW
to
f
in
d
t
h
e
p
er
f
o
r
m
an
ce
m
ea
s
u
r
e
m
e
n
ts
o
f
t
h
e
m
an
a
g
e
m
e
n
t
o
f
t
h
e
e
n
t
ir
e
ac
ad
e
m
ic
s
ta
f
f
,
w
h
er
ea
s
th
e
s
e
co
n
d
s
tep
i
s
f
i
n
d
in
g
t
h
e
r
e
s
u
l
t
e
v
alu
a
tio
n
o
f
th
e
co
r
r
elatio
n
b
et
w
ee
n
f
i
n
a
n
cial
al
lo
ca
tio
n
a
n
d
ed
u
ca
tio
n
al
p
er
f
o
r
m
a
n
ce
.
T
h
e
r
esu
lt o
b
tain
ed
f
r
o
m
i
m
p
le
m
e
n
ti
n
g
e
n
ter
p
r
is
e
d
o
cu
m
en
t
m
a
n
ag
e
m
e
n
t
(
E
DM
)
i
s
f
i
n
d
in
g
th
e
i
n
d
icato
r
th
at
m
ea
s
u
r
es
t
h
e
r
eq
u
ir
ed
f
i
n
a
n
cial
ef
f
o
r
ts
f
o
r
ed
u
ca
tio
n
an
d
h
elp
i
n
g
d
ec
is
io
n
m
a
k
er
s
esti
m
ate
f
u
t
u
r
e
ef
f
o
r
ts
to
en
h
an
ce
ed
u
ca
tio
n
.
Ho
w
e
v
er
,
th
e
p
ap
er
p
r
esen
ted
a
g
en
er
al
o
v
er
v
ie
w
o
f
E
DW
i
m
p
le
m
en
ta
tio
n
a
n
d
n
eit
h
er
w
e
n
t
t
h
r
o
u
g
h
d
esi
g
n
m
et
h
o
d
o
lo
g
y
n
o
r
ex
p
lai
n
ed
h
o
w
to
s
elec
t
th
e
p
r
o
p
er
ap
p
r
o
a
ch
o
f
i
m
p
le
m
en
t
in
g
E
DM
.
An
o
t
h
er
m
o
d
el
i
m
p
le
m
en
ted
b
y
A
b
d
u
lla
h
a
n
d
Ob
aid
[3
6
]
c
o
m
b
i
n
ed
ed
u
ca
tio
n
al
r
ec
o
r
d
s
f
r
o
m
t
w
o
s
i
m
u
lated
d
atab
ases
o
f
1
0
y
ea
r
s
o
f
d
ata
f
r
o
m
t
h
e
Dep
ar
tm
en
t
o
f
C
o
m
p
u
te
r
Scien
ce
a
t
B
asra
h
U
n
iv
er
s
it
y
an
d
f
o
u
r
y
ea
r
s
o
f
d
ata
f
r
o
m
A
l
-
I
r
aq
U
n
i
v
er
s
it
y
,
I
r
aq
.
T
h
e
y
u
n
i
f
ied
th
e
d
ata
u
n
d
er
a
s
in
g
le
s
ch
e
m
a
o
f
E
DW
an
d
th
e
n
u
s
ed
O
L
A
P
to
co
n
d
u
ct
a
d
escr
ip
ti
v
e
a
n
al
y
s
is
an
d
f
i
n
d
s
t
u
d
en
t
ac
h
iev
e
m
e
n
t
s
t
h
r
o
u
g
h
th
e
s
e
y
ea
r
s
.
T
h
e
d
ec
is
io
n
m
a
k
er
s
in
t
h
e
p
r
o
p
o
s
ed
m
o
d
el
ar
e
lect
u
r
er
s
an
d
d
ep
ar
t
m
e
n
t
h
ea
d
s
.
Ho
w
e
v
er
,
th
e
ap
p
r
o
ac
h
o
f
E
DW
d
esig
n
,
t
h
e
ac
ce
s
s
m
et
h
o
d
to
E
DW
an
d
t
h
e
m
u
ltid
i
m
e
n
s
io
n
al
c
u
b
e
w
er
e
n
o
t c
lear
l
y
ex
p
lai
n
ed
.
Ku
r
n
ia
w
an
a
n
d
E
r
w
in
[
3
7
]
s
h
o
w
ed
th
e
ad
v
a
n
ta
g
es
o
f
u
s
i
n
g
DW
an
d
DM
i
n
th
e
p
r
e
d
ictio
n
o
f
s
tu
d
e
n
ts
’
p
er
f
o
r
m
a
n
ce
.
T
h
e
m
o
d
el
i
m
p
le
m
en
tatio
n
al
s
o
p
ass
e
d
th
r
o
u
g
h
t
w
o
s
tag
e
s
an
al
y
s
is
a
n
d
DW
i
m
p
le
m
en
ta
tio
n
;
t
h
e
y
u
s
ed
th
e
Ki
m
b
all
ap
p
r
o
ac
h
to
d
esig
n
DW
w
it
h
a
s
tar
s
ch
e
m
a
as
a
s
t
r
u
ctu
r
e
f
o
r
th
e
DW
.
Ho
w
e
v
er
,
th
e
t
y
p
e
o
f
DW
i
n
th
e
m
o
d
el
w
as
n
eit
h
er
d
eter
m
in
ed
n
o
r
d
is
tin
g
u
is
h
ed
f
r
o
m
th
e
d
ata
m
ar
t.
Mo
h
a
m
m
ed
et
a
l
.
[3
8
]
d
esig
n
ed
an
ar
ch
itect
u
r
al
ap
p
r
o
ac
h
o
n
t
h
e
b
asi
s
o
f
DW
to
co
m
b
in
e
d
atab
ases
f
r
o
m
d
if
f
er
e
n
t
I
r
aq
i
u
n
i
v
er
s
it
ies
f
o
r
in
cr
ea
s
i
n
g
i
n
f
o
r
m
atio
n
s
h
ar
i
n
g
a
m
o
n
g
all
u
n
i
v
er
s
it
ies,
co
lleg
es
a
n
d
d
ep
ar
tm
e
n
ts
.
T
h
e
y
u
s
ed
th
e
b
en
ef
icia
l
ch
ar
ac
ter
is
tic
o
f
D
W
ap
p
licatio
n
to
m
a
x
i
m
is
e
i
n
f
o
r
m
atio
n
s
h
ar
i
n
g
a
m
o
n
g
u
n
i
v
er
s
itie
s
.
Ho
w
e
v
er
,
th
e
ap
p
r
o
ac
h
f
ailed
to
s
h
o
w
h
o
w
to
s
o
l
v
e
co
n
f
licts
a
m
o
n
g
d
atab
ases
f
r
o
m
d
if
f
er
e
n
t
u
n
i
v
er
s
itie
s
.
T
h
e
d
if
f
icu
ltie
s
in
t
h
i
s
ap
p
r
o
ac
h
ar
e
th
e
h
u
g
e
d
ata
o
f
a
s
in
g
le
u
n
iv
er
s
it
y
b
ec
a
u
s
e
m
an
y
co
lleg
es
e
x
is
t
w
it
h
m
a
n
y
d
ep
ar
t
m
en
ts
a
n
d
u
n
it
s
i
n
a
s
in
g
le
co
lleg
e.
T
h
e
p
ap
er
also
f
aile
d
to
ex
p
lain
h
o
w
to
d
ea
l
w
it
h
d
i
f
f
er
en
t
s
ta
n
d
ar
d
s
an
d
b
u
s
i
n
e
s
s
r
u
les
a
m
o
n
g
d
at
ab
ases
o
f
a
s
i
n
g
le
co
lleg
e
an
d
h
o
w
to
h
an
d
le
t
h
i
s
o
b
s
tacle
.
3.
DSS I
M
P
L
E
M
E
NT
A
T
I
O
N
T
h
e
d
ata
m
ar
t
i
s
t
h
e
b
ase
o
f
th
e
p
r
o
p
o
s
ed
DSS.
T
h
e
f
lo
w
ch
ar
t
o
f
t
h
e
i
m
p
le
m
e
n
ted
d
ata
m
ar
t
is
d
em
o
n
s
tr
ated
i
n
Fig
u
r
e
1
.
Si
x
b
asic
i
m
p
o
r
ta
n
t
s
tep
s
ar
e
ta
k
en
to
i
m
p
le
m
en
t
th
e
ed
u
ca
tio
n
al
d
ata
m
ar
t;
t
h
ese
s
tep
s
ar
e
d
ata
p
r
e
-
p
r
o
ce
s
s
in
g
;
d
ata
p
r
o
f
ilin
g
;
d
ata
m
ar
t
ar
ea
,
w
h
ich
h
o
ld
s
t
h
e
s
ta
g
i
n
g
ar
ea
an
d
th
e
d
ata
m
ar
t
s
ch
e
m
a;
E
T
L
;
ed
u
ca
tio
n
al
cu
b
e
b
u
ild
in
g
;
a
n
d
O
L
A
P
,
KP
I
an
d
r
ep
o
r
ts
.
T
h
e
ev
alu
atio
n
p
r
o
ce
s
s
is
p
er
f
o
r
m
ed
af
ter
co
m
p
leti
n
g
t
h
e
k
n
o
w
led
g
e
b
ase
o
f
th
e
DS
S.
Fig
u
r
e
1
.
Flo
w
c
h
ar
t o
f
e
d
u
ca
t
io
n
al
d
ata
m
ar
t
i
m
p
le
m
e
n
tatio
n
a
p
p
r
o
ac
h
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
11
,
No
.
6
,
Dec
em
b
er
2
0
2
1
:
5
3
0
1
-
5
3
1
4
5304
T
h
e
DSS
ar
ch
itect
u
r
e
co
n
s
i
s
ts
o
f
f
o
u
r
m
aj
o
r
ar
ea
s
,
w
h
ic
h
ar
e
d
ata
p
r
ep
a
r
atio
n
ar
ea
;
d
ata
m
ar
t
ar
ea
;
KP
I
,
OL
A
P
an
d
r
ep
o
r
ts
ar
ea
;
an
d
d
ec
is
io
n
-
m
a
k
in
g
ar
ea
,
as
s
h
o
w
n
i
n
Fi
g
u
r
e
2
.
T
h
e
d
at
a
p
r
ep
a
r
atio
n
ar
ea
in
v
o
l
v
es
all
d
ata
s
o
u
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ased
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u
r
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Mo
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3
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1
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ased
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ased
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ase
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2
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Da
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pro
f
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Data
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m
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m
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ib
es
th
e
len
g
th
,
d
ata
t
y
p
e,
le
n
g
t
h
,
v
ar
ian
c
e,
u
n
iq
u
en
e
s
s
,
n
u
l
l
r
atio
,
an
d
d
o
m
ai
n
r
an
g
e.
I
t
s
h
o
w
s
t
h
e
f
u
l
l
v
ie
w
o
f
d
ata
q
u
al
it
y
r
elate
d
to
all
d
ata
s
o
u
r
ce
attr
ib
u
tes
[
3
9
]
,
[
4
0
]
.
Data
p
r
o
f
ilin
g
i
s
an
i
m
p
o
r
tan
t
s
tep
in
t
h
e
b
u
ild
i
n
g
p
r
o
ce
s
s
o
f
DW
an
d
d
ata
m
ar
t.
B
u
ild
i
n
g
d
ata
m
ar
t
o
r
DW
d
o
es
n
o
t
ac
tu
all
y
s
u
cc
ee
d
if
t
h
is
s
tep
is
n
o
t
p
er
f
o
r
m
ed
.
T
h
e
r
esu
lts
o
f
d
ata
p
r
o
f
ilin
g
ca
n
h
elp
in
d
eter
m
in
i
n
g
th
e
d
i
m
e
n
s
io
n
s
a
n
d
f
ac
t
tab
les
,
th
e
p
r
o
p
o
s
ed
p
r
im
ar
y
k
e
y
s
,
t
h
e
n
u
ll
r
atio
in
ea
ch
co
lu
m
n
,
m
ea
n
a
n
d
s
tan
d
ar
d
in
ea
c
h
co
lu
m
n
,
t
h
e
m
a
x
i
m
u
m
a
n
d
m
in
i
m
u
m
v
al
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es
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n
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ch
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lu
m
n
a
n
d
t
h
e
d
o
m
ai
n
o
f
ea
ch
co
l
u
m
n
.
T
h
e
r
esu
lt
o
f
t
h
e
d
ata
p
r
o
f
ili
n
g
o
f
s
tu
d
e
n
t
r
ec
o
r
d
s
is
s
h
o
w
n
i
n
T
ab
le
3
.
SS
DT
p
r
o
v
id
es
a
d
ata
p
r
o
f
ilin
g
to
o
l
t
h
at
p
r
esen
ts
t
h
e
r
es
u
lts
g
r
ap
h
icall
y
f
o
r
ea
s
e
o
f
u
n
d
er
s
tan
d
i
n
g
a
n
d
u
s
e.
Data
p
r
o
f
il
in
g
r
es
u
lts
ar
e
co
n
v
er
ted
in
t
o
tab
le
r
ea
d
in
g
s
,
as s
h
o
w
n
in
T
ab
le
3
.
T
ab
le
3
.
Data
p
r
o
f
ilin
g
r
esu
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S
e
q
F
i
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l
d
N
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me
M
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m
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e
s
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R
a
t
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o
1
A
d
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r
e
ss
-
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11
0
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B
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r
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h
9
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27
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3
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t
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Y
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a
r
2
0
1
8
2
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1
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1
0
3
.
3
.
Da
t
a
m
a
rt
a
re
a
T
h
e
d
ata
m
ar
t
co
n
s
is
ts
o
f
t
w
o
ar
ea
s
:
S
tag
in
g
a
n
d
d
ata
m
ar
t
s
ch
e
m
a
tab
les.
T
h
e
s
tag
in
g
ar
e
a
co
n
s
is
t
s
p
r
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ar
il
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f
a
s
ta
g
in
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tab
le
w
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er
e
th
e
d
ata
ar
e
f
ir
s
t
ex
tr
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ted
f
r
o
m
th
e
d
ata
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o
u
r
ce
an
d
lo
ad
ed
in
to
it.
T
h
e
s
tag
i
n
g
tab
le
f
ac
e
s
all
tr
an
s
f
o
r
m
atio
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p
r
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s
s
e
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d
h
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ld
s
t
h
e
f
in
a
l
v
er
s
io
n
o
f
t
h
e
tab
le
b
ef
o
r
e
lo
ad
in
g
it
i
n
to
d
i
m
en
s
io
n
s
an
d
f
ac
t
tab
les.
Data
m
ar
t
s
c
h
e
m
a
is
a
s
tar
s
ch
e
m
a
w
h
er
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f
i
v
e
-
d
i
m
e
n
s
io
n
tab
les
ar
e
co
n
n
ec
ted
to
th
e
f
ac
t
tab
le
w
h
il
s
t
t
h
eir
d
ata
ar
e
tak
en
f
r
o
m
t
h
e
s
ta
g
in
g
tab
le.
T
h
e
s
tag
in
g
tab
le
is
a
n
in
ter
m
ed
iate
ar
ea
u
s
ed
f
o
r
s
to
r
ag
e
b
et
w
ee
n
s
o
u
r
ce
s
y
s
te
m
s
an
d
t
h
e
DW
;
a
te
m
p
o
r
ar
y
s
to
r
ag
e
ar
ea
i
s
w
h
er
e
d
ata
ar
e
s
u
cc
e
s
s
f
u
ll
y
d
elete
d
af
ter
b
ein
g
u
p
lo
ad
ed
to
th
e
r
ep
o
s
ito
r
y
.
T
h
is
ar
ea
is
u
s
ed
in
m
an
y
m
aj
o
r
p
r
o
ce
s
s
es,
s
u
ch
as
ar
ch
iv
i
n
g
an
d
p
r
ep
ar
in
g
d
ata
s
o
u
r
ce
,
d
ata
ex
tr
ac
tio
n
,
clea
n
i
n
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,
u
n
if
y
in
g
,
m
ir
r
o
r
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co
n
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lo
a
d
in
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a
n
d
in
d
ex
in
g
,
q
u
alit
y
ass
u
r
a
n
ce
an
d
u
p
d
atin
g
[
4
1
]
,
[
4
2
]
.
T
h
ese
p
r
o
ce
s
s
es
ar
e
u
s
u
all
y
r
ef
er
r
ed
to
as
E
T
L
.
T
h
e
s
ta
g
i
n
g
ar
ea
s
h
o
u
ld
b
e
p
r
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d
an
d
p
er
f
o
r
m
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w
h
il
s
t
all
th
e
i
n
te
n
d
ed
OL
A
P
q
u
er
ies
ar
e
a
s
k
ed
.
T
h
e
s
tag
i
n
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ea
also
Evaluation Warning : The document was created with Spire.PDF for Python.
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11
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6
,
Dec
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b
er
2
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h
o
ld
s
th
e
tab
le
w
it
h
all
co
lu
m
n
s
a
n
d
d
i
m
en
s
io
n
tab
les.
T
h
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s
tag
i
n
g
tab
le
b
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o
m
e
s
th
e
p
lac
e
w
h
er
e
al
l
d
ata
ar
e
m
an
ip
u
lated
.
Data
m
a
n
ip
u
la
t
io
n
in
v
o
lv
es
all
d
ata
in
te
g
r
it
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p
r
o
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s
s
e
s
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u
c
h
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an
s
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ich
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e
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n
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d
eletio
n
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h
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ata
v
al
u
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all
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m
n
s
m
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t b
e
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a
m
e
a
s
t
h
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d
ata
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alu
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f
al
l c
o
lu
m
n
s
i
n
th
e
d
i
m
e
n
s
io
n
tab
les.
T
h
e
d
ata
m
ar
t
s
c
h
e
m
a
tab
le
s
in
v
o
lv
e
m
an
y
ap
p
r
o
ac
h
es
f
o
r
d
esig
n
in
g
DW
,
s
u
c
h
as
to
p
-
d
o
w
n
,
b
o
tto
m
-
u
p
,
in
s
id
e
-
o
u
t
,
a
n
d
m
i
x
ed
ap
p
r
o
ac
h
es.
Selecti
n
g
an
ap
p
r
o
ac
h
d
ep
en
d
in
g
o
n
th
e
o
v
er
all
s
ize
a
n
d
i
m
p
le
m
en
ta
tio
n
d
u
r
atio
n
p
er
i
o
d
o
f
DW
ca
n
r
esu
lt
in
eit
h
er
en
ter
p
r
is
e
DW
o
r
s
m
a
ll
d
ata
m
ar
t
[
4
3
]
.
T
h
e
to
p
-
d
o
w
n
ap
p
r
o
ac
h
is
u
s
ed
f
o
r
lo
n
g
-
ter
m
d
esi
g
n
i
n
g
m
o
d
els
an
d
tak
es
f
u
r
t
h
er
an
a
l
y
s
is
an
d
r
ed
esig
n
in
g
to
f
it
al
l
en
ter
p
r
is
e
g
o
als.
T
h
e
b
o
tto
m
-
u
p
ap
p
r
o
ac
h
is
u
s
ed
f
o
r
s
h
o
r
t
-
ter
m
d
e
s
ig
n
i
n
g
m
o
d
els
w
h
er
e
th
e
r
es
u
lts
ca
n
b
e
o
b
s
er
v
ed
[
4
4
].
Giv
en
t
h
at
th
e
in
te
n
d
ed
DW
is
an
in
d
ep
en
d
en
t
ed
u
ca
tio
n
al
d
ata
m
ar
t,
th
e
b
est
ap
p
r
o
ac
h
to
b
u
ild
th
e
d
ata
m
ar
t
is
t
h
e
b
o
tto
m
-
u
p
ap
p
r
o
ac
h
.
B
ased
o
n
th
e
p
r
ev
io
u
s
l
y
l
is
ted
r
ea
s
o
n
s
,
u
s
in
g
t
h
i
s
ap
p
r
o
ac
h
in
i
m
p
le
m
en
t
in
g
a
d
ata
m
ar
t
p
r
o
v
id
es
m
an
y
f
ac
ilit
ies
to
b
u
i
ld
a
s
o
lid
s
o
lu
tio
n
t
h
at
ca
n
p
r
o
v
id
e
an
s
w
er
s
to
ed
u
ca
tio
n
al
s
tak
e
h
o
ld
er
s
.
T
h
r
ee
f
a
m
o
u
s
s
c
h
e
m
a
s
ar
e
u
s
ed
to
i
m
p
le
m
e
n
t
t
h
e
DW
s
ch
e
m
a
(
i.e
.
s
tar
,
s
n
o
w
f
la
k
e
an
d
f
ac
t
co
n
s
tellat
io
n
)
.
E
ac
h
s
c
h
e
m
a
h
as
it
s
o
w
n
ad
v
a
n
ta
g
es
a
n
d
d
is
ad
v
an
ta
g
es,
w
h
ic
h
m
ak
e
d
esig
n
er
s
p
r
e
f
er
o
n
e
s
ch
e
m
a
o
v
er
th
e
o
t
h
er
.
Star
s
ch
e
m
a
is
t
h
e
f
a
m
o
u
s
o
n
e
f
o
r
its
s
i
m
p
lic
it
y
a
n
d
w
id
e
u
s
a
g
e;
it
co
n
s
is
t
s
o
f
a
ce
n
tr
al
tab
le
ca
lled
a
f
ac
t
tab
l
e
an
d
m
a
n
y
o
th
er
tab
les
ca
lled
d
i
m
en
s
io
n
s
t
h
at
s
u
r
r
o
u
n
d
th
e
f
ac
t
tab
le.
T
h
e
f
ac
t
tab
le
co
n
s
is
ts
o
f
m
an
y
co
n
ca
te
n
ated
k
e
y
s
to
th
e
d
i
m
e
n
s
io
n
s
a
n
d
m
a
n
y
o
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er
k
e
y
s
ca
l
led
m
e
asu
r
e
m
en
t
s
,
w
h
ic
h
r
ep
r
esen
t
th
e
f
ac
ts
o
r
f
u
n
cti
o
n
s
th
at
ca
n
b
e
ca
lcu
lated
alo
n
g
o
th
er
d
i
m
e
n
s
io
n
co
lu
m
n
s
[
4
5
]
.
Fig
u
r
e
3
r
ep
r
esen
ts
th
e
p
r
o
p
o
s
ed
s
tar
s
ch
e
m
a
o
f
an
ed
u
ca
tio
n
al
d
ata
m
ar
t.
Fig
u
r
e
3
.
Star
s
ch
e
m
a
o
f
ed
u
c
atio
n
al
d
ata
m
ar
t
T
h
e
d
ata
m
ar
t
s
ch
e
m
a
is
b
u
ilt
u
s
i
n
g
S
SMS
2
0
1
4
.
T
h
e
s
ch
em
a
co
n
s
i
s
ts
o
f
f
i
v
e
d
i
m
e
n
s
io
n
s
(
ad
d
r
ess
,
in
f
o
r
m
atio
n
,
e
n
r
o
l
m
e
n
t,
s
u
b
j
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t
,
an
d
d
eg
r
ee
)
an
d
th
e
f
ac
t
tab
le.
T
h
e
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Usi
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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2
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5307
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ce
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ate
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d
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tar
s
ch
e
m
a
ca
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id
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q
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ies,
h
a
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it
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e,
h
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m
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ier
ar
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in
d
i
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s
,
ca
n
b
u
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a
s
i
m
p
le
DW
s
c
h
e
m
a
an
d
ca
n
ea
s
il
y
b
e
lo
ad
ed
w
it
h
d
ata
[
4
6
]
,
[
4
7
]
.
T
h
e
n
ex
t
s
tag
e
is
p
er
f
o
r
m
in
g
E
T
L
task
s
,
w
h
ic
h
ta
k
e
ap
p
r
o
x
i
m
ate
l
y
7
0
%
o
f
th
e
DW
d
ev
elo
p
m
e
n
t
ti
m
e
a
n
d
co
s
t
s
p
en
t
o
n
i
m
p
le
m
en
tin
g
t
h
e
o
v
er
all
DW
m
o
d
el.
E
T
L
in
v
o
lv
e
s
m
a
n
y
tas
k
s
u
s
ed
to
m
a
n
ip
u
late
d
ata
f
o
r
o
b
tain
in
g
t
h
eir
f
in
a
l c
l
ea
n
ed
an
d
in
te
g
r
ated
v
er
s
io
n
.
T
h
e
task
s
o
f
E
T
L
(
n
o
t li
m
ited
to
)
ar
e:
Data
ex
tr
ac
tio
n
:
T
h
e
f
ir
s
t
s
tep
in
t
h
e
p
r
o
ce
s
s
o
f
tr
an
s
f
er
r
in
g
d
ata
to
th
e
DW
.
I
t
m
ea
n
s
r
ea
d
in
g
th
e
d
ata
a
n
d
u
n
d
er
s
ta
n
d
in
g
t
h
e
m
f
r
o
m
d
if
f
er
en
t
s
o
u
r
ce
s
a
n
d
t
h
en
co
p
y
i
n
g
th
e
n
ec
es
s
ar
y
p
ar
ts
to
t
h
e
d
ata
s
u
b
m
is
s
io
n
ar
ea
to
co
n
tin
u
e
t
h
e
w
o
r
k
later
.
T
h
e
ex
tr
ac
tio
n
s
tep
r
ep
r
esen
t
s
th
e
g
r
ea
test
e
f
f
o
r
t i
n
th
e
DW
.
Data
clea
n
i
n
g
i
s
a
task
o
f
d
etec
tin
g
er
r
o
r
s
in
th
e
d
ata
an
d
co
r
r
ec
tin
g
th
e
m
i
f
p
o
s
s
ib
le;
it
in
v
o
l
v
es
tas
k
s
s
u
c
h
as
d
ea
li
n
g
w
it
h
m
is
s
in
g
ele
m
e
n
ts
a
n
d
r
ed
u
cin
g
n
o
is
e
b
y
d
ef
i
n
i
n
g
e
x
tr
e
m
e
v
alu
e
s
an
d
co
r
r
ec
tin
g
d
ata
co
n
f
lic
ts
[
4
8
]
.
Data
tr
an
s
f
o
r
m
at
io
n
:
W
h
e
n
d
at
a
ar
e
ex
tr
ac
ted
f
r
o
m
t
h
e
s
o
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s
y
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te
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,
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s
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f
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tio
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s
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p
lied
to
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n
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t t
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ata
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to
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alid
a
n
d
m
ea
n
i
n
g
f
u
l
f
o
r
m
u
las [
4
9
]
.
L
o
ad
:
L
o
ad
s
er
v
ices
n
ee
d
s
u
p
p
o
r
t
b
ef
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e
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ter
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ical
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p
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d
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u
ctu
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in
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o
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n
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id
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ed
[
5
0
]
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R
ef
r
e
s
h
:
T
h
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la
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t
s
tep
o
f
E
T
L
w
h
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u
p
d
ates
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m
e
ar
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tr
a
n
s
f
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r
ed
f
r
o
m
d
ata
s
o
u
r
ce
s
to
r
ep
o
s
ito
r
ies [
5
1
]
.
3
.
4
.
ETL
E
T
L
is
th
e
s
tag
e
w
h
er
e
d
esi
g
n
er
s
u
n
co
n
s
c
io
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s
l
y
p
r
ep
ar
e
f
o
r
f
ast
-
a
n
s
w
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ed
OL
A
P
q
u
er
ies.
I
n
E
T
L
,
th
r
ee
i
m
p
o
r
tan
t
f
ac
to
r
s
ar
e
p
r
ep
ar
ed
to
m
a
k
e
O
L
A
P
f
ast,
n
a
m
e
l
y
,
m
ea
s
u
r
e
m
e
n
t
s
,
lo
ad
in
g
d
i
m
en
s
io
n
s
,
an
d
co
n
ce
p
t
h
ier
ar
ch
ies.
T
h
e
f
ir
s
t
t
w
o
s
ta
g
es
(
e
x
tr
ac
t
a
n
d
tr
an
s
f
o
r
m
)
ar
e
i
m
p
le
m
e
n
ted
o
n
th
e
p
r
ev
io
u
s
l
y
cr
e
ated
s
tag
i
n
g
tab
le.
T
h
e
ex
tr
ac
tio
n
p
r
o
ce
s
s
n
o
t
o
n
l
y
in
v
o
l
v
es
s
ele
ctin
g
th
e
r
eq
u
ir
ed
d
ata
b
u
t
also
test
in
g
if
t
h
e
d
ata
ar
e
f
u
l
f
ill
in
g
t
h
e
in
te
n
d
ed
g
o
al
s
.
T
h
e
t
w
o
p
ar
ts
o
f
ex
tr
ac
t
an
d
tr
an
s
f
o
r
m
(
E
T
L
)
ar
e
i
m
p
le
m
en
ted
o
n
th
e
s
ta
g
in
g
tab
le
b
y
u
s
i
n
g
th
e
SS
I
S
p
ac
k
a
g
e.
T
h
e
lo
ad
in
g
d
ata
m
ar
t
s
tr
ateg
y
is
d
i
v
id
ed
i
n
to
t
w
o
s
ta
g
es,
n
a
m
el
y
,
lo
ad
i
n
g
d
i
m
e
n
s
io
n
s
a
n
d
lo
ad
in
g
f
ac
t
tab
le.
Fi
g
u
r
e
4
s
h
o
w
s
b
o
th
s
ta
g
es
o
f
lo
ad
in
g
d
ata
m
ar
t
s
c
h
e
m
a
tab
les.
T
h
e
f
ir
s
t
s
ta
g
e
is
lo
ad
in
g
th
e
f
i
v
e
-
d
i
m
en
s
io
n
tab
les
w
i
t
h
d
ata.
T
h
e
m
u
ltica
s
t
to
o
l
is
u
s
ed
to
m
a
k
e
an
i
m
ag
e
-
li
k
e
s
tag
i
n
g
tab
le
to
lo
ad
d
i
m
en
s
io
n
s
b
y
u
s
i
n
g
a
s
lo
w
l
y
c
h
a
n
g
i
n
g
d
i
m
e
n
s
io
n
(
SC
D)
.
A
d
d
r
ess
an
d
in
f
o
d
im
e
n
s
io
n
s
ar
e
lo
ad
ed
u
s
in
g
SC
D
w
it
h
c
h
an
g
i
n
g
attr
ib
u
tes
.
T
h
e
n
ex
t
th
r
ee
d
i
m
e
n
s
io
n
s
(
s
u
b
j
ec
t,
en
r
o
l
m
en
t
an
d
d
eg
r
e
e)
ar
e
lo
ad
e
d
w
i
th
f
i
x
ed
attr
ib
u
tes.
T
h
e
m
aj
o
r
d
i
f
f
er
en
ce
b
et
w
ee
n
f
i
x
ed
an
d
ch
an
g
i
n
g
at
tr
ib
u
tes
i
s
th
at
f
i
x
e
d
attr
ib
u
tes
d
o
n
o
t
d
etec
t
ch
a
n
g
e
s
i
n
t
h
e
s
tag
in
g
tab
le
af
ter
lo
ad
in
g
d
ata
i
n
to
d
i
m
e
n
s
io
n
s
,
w
h
er
ea
s
c
h
a
n
g
i
n
g
attr
ib
u
te
s
d
etec
t
ch
an
g
es a
n
d
r
ef
lect
s
u
c
h
ch
a
n
g
es i
n
d
i
m
e
n
s
io
n
s
.
Fi
x
ed
attr
i
b
u
tes ca
n
b
e
u
s
ed
f
o
r
all
d
i
m
e
n
s
io
n
s
’
attr
ib
u
te
s
.
Fig
u
r
e
4
.
L
o
ad
in
g
d
i
m
e
n
s
io
n
s
an
d
f
ac
t ta
b
les
s
tr
ateg
y
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
11
,
No
.
6
,
Dec
em
b
er
2
0
2
1
:
5
3
0
1
-
5
3
1
4
5308
T
h
e
s
ec
o
n
d
s
ta
g
e
i
s
b
u
ild
i
n
g
a
cu
b
e
to
p
r
o
v
id
e
an
an
al
y
tical
p
latf
o
r
m
to
p
er
f
o
r
m
O
L
A
P
q
u
er
ies.
T
h
e
cu
b
e
is
co
n
s
tr
u
cted
to
p
r
o
v
id
e
an
al
y
s
ts
w
i
th
a
p
lat
f
o
r
m
w
h
e
r
e
th
e
y
ca
n
as
k
q
u
es
tio
n
s
a
n
d
f
in
d
t
h
eir
an
s
w
er
s
as
c
h
ar
ts
o
r
tab
le
s
.
T
h
e
ed
u
ca
t
io
n
al
m
u
ltid
i
m
en
s
i
o
n
al
c
u
b
e
i
s
i
m
p
le
m
en
ted
u
s
in
g
SS
AS
2
0
1
4
,
w
h
ic
h
co
n
s
i
s
ts
o
f
th
e
r
eq
u
ir
ed
d
im
e
n
s
io
n
s
a
n
d
h
ier
ar
ch
ie
s
.
T
h
e
cu
b
e
co
n
s
is
t
s
o
f
d
i
m
e
n
s
io
n
s
th
a
t
ca
n
b
e
u
s
ed
to
an
s
w
e
r
OL
A
P
q
u
er
ie
s
o
n
t
h
e
b
as
is
o
f
t
h
e
m
ea
s
u
r
e
m
en
t
(
co
u
n
t)
.
Mu
l
tid
i
m
e
n
s
io
n
al
cu
b
e
i
s
s
elec
ted
d
u
e
to
i
t
s
ad
v
an
ta
g
es,
s
u
c
h
as
f
ast co
m
p
lex
q
u
er
y
r
esp
o
n
s
e
an
d
e
x
ce
lle
n
t p
er
f
o
r
m
a
n
ce
[
5
2
]
,
[
5
3
]
.
3
.
5
.
O
L
AP
a
nd
K
P
I
T
h
e
p
r
o
ce
s
s
o
f
i
m
p
le
m
en
tin
g
O
L
A
P
an
d
co
n
s
tr
u
ctin
g
r
ep
o
r
ts
is
p
er
f
o
r
m
ed
.
O
L
A
P
i
s
a
t
ec
h
n
o
lo
g
y
u
s
ed
o
n
DW
ar
ch
itect
u
r
e
to
o
b
tain
f
a
s
t
an
d
ac
cu
r
ate
r
es
u
lt
s
as
an
s
w
er
s
to
co
m
p
le
x
q
u
er
i
es
[
4
]
.
T
h
e
OL
A
P
cu
b
e
is
p
r
i
m
ar
il
y
i
m
p
le
m
e
n
te
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h
l
y
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m
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ce
s
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d
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m
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f
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t
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les
w
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p
o
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s
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to
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k
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r
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r
s
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c
u
b
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p
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m
p
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t
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m
p
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n
t
o
f
DW
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h
e
OL
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b
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h
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y
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m
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atab
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d
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d
s
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r
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m
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tio
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th
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en
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t
h
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o
f
MO
L
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P
a
n
d
R
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L
AP
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ea
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DO
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ca
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n
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u
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th
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m
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m
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g
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ti
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g
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L
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t
w
ar
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a
p
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m
u
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m
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n
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ca
n
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p
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n
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r
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s
O
L
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l
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r
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m
w
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b
r
o
w
s
er
s
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h
r
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w
a
y
s
ca
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b
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u
s
ed
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L
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lts
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n
a
m
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l
y
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SS
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2
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Mic
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[
1
6
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,
[
5
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.
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h
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f
ir
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m
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th
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o
r
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m
o
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d
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h
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g
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1
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.
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it
h
>3
0
0
ca
s
es),
f
o
llo
w
ed
b
y
t
h
o
s
e
ag
ed
1
2
(
w
it
h
>2
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0
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s
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th
ese
r
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lt
s
ca
n
h
elp
an
al
y
s
ts
i
n
f
i
n
d
in
g
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e
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ac
to
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s
th
at
i
m
p
r
o
v
e
s
t
u
d
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n
t
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ad
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th
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e
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w
o
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p
s
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lu
d
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lu
e
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ce
th
e
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r
ad
es i
n
o
th
er
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e
s
.
Fig
u
r
e
7
.
Nu
m
b
er
o
f
s
tu
d
e
n
ts
ac
co
r
d
in
g
to
ag
e
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d
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ad
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E
,
G,
an
d
V)
Ke
y
p
er
f
o
r
m
a
n
ce
i
n
d
icato
r
(
KP
I
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is
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f
t
h
e
m
o
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t
p
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er
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l
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ls
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n
an
y
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SS
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K
P
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h
elp
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i
n
m
ea
s
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r
in
g
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er
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o
r
m
a
n
ce
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co
r
d
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g
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s
p
ec
i
f
ic
cr
iter
ia.
SS
A
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r
o
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er
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e
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m
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m
en
t
KP
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s
t
h
at
h
elp
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n
co
n
s
tr
u
ct
in
g
DS
Ss
[
1
0
]
.
Fig
u
r
e
8
s
h
o
w
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th
e
KP
I
o
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th
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cc
e
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s
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ate
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l
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t
u
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en
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s
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T
h
e
v
al
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e
c
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r
s
o
r
r
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r
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ts
t
h
e
n
u
m
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er
o
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l
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r
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e
g
o
al
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e
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s
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cc
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r
ate
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T
h
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
11
,
No
.
6
,
Dec
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b
er
2
0
2
1
:
5
3
0
1
-
5
3
1
4
5310
s
tatu
s
i
n
d
icato
r
ca
n
b
e
r
ep
r
esen
ted
b
y
th
r
ee
t
y
p
es
o
f
c
u
r
s
o
r
s
w
h
er
e
th
e
c
u
r
s
o
r
in
t
h
e
f
i
g
u
r
e
r
ep
r
esen
t
s
t
h
e
cu
r
r
en
t
s
tatu
s
.
T
h
e
s
tat
u
s
i
n
d
i
ca
to
r
co
lo
u
r
ch
an
g
es
ac
co
r
d
in
g
to
th
e
s
tat
u
s
.
T
h
e
tr
en
d
i
n
d
i
ca
to
r
r
ep
r
esen
ts
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e
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er
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o
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m
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ce
m
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h
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t
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e
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e,
th
e
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en
d
in
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icato
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ch
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g
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s
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Th
e
f
ig
u
r
e
r
ep
r
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t
s
th
e
i
m
p
l
e
m
en
ted
r
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o
r
t
o
n
th
e
b
asis
o
f
th
e
KP
I
o
f
t
h
e
s
u
cc
es
s
r
ate.
S
S
A
S
al
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o
allo
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s
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r
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d
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im
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io
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s
to
m
ea
s
u
r
e
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I
v
alu
e
ac
co
r
d
in
g
to
th
e
s
elec
ted
d
i
m
e
n
s
io
n
s
.
Fig
u
r
e
8
.
KP
I
o
f
s
u
cc
ess
r
ate
3
.
6
.
Da
t
a
-
driv
en
educa
t
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l D
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a
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S
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v
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ated
to
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tel
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o
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p
r
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et
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o
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estricte
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k
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e
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icted
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itted
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s
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h
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n
s
u
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d
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d
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L
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P
r
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(
W
eb
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A
P
,
MO
L
AP
,
an
d
d
esk
to
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O
L
A
P
)
.
E
ac
h
O
L
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en
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if
ic
k
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n
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o
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er
.
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n
th
e
p
r
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p
o
s
ed
ed
u
ca
tio
n
al
DSS,
th
e
u
s
er
(
m
an
a
g
er
,
an
al
y
s
t,
d
ec
is
io
n
m
ak
er
)
h
as
t
h
e
f
le
x
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ilit
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s
e
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ate
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y
p
e
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ee
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s
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An
al
y
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t
s
ca
n
u
s
e
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L
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ep
o
r
ts
.
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L
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it
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e
lect
m
o
r
e
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m
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ltid
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ex
p
r
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m
e
n
s
io
n
s
.
Ma
n
ag
e
r
s
ca
n
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s
e
w
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O
L
A
P
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ep
o
r
ts
to
v
ie
w
th
e
a
n
al
y
s
t
r
e
s
u
l
ts
o
n
th
e
p
r
ed
ef
i
n
ed
OL
A
P
r
ep
o
r
ts
t
h
r
o
u
g
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th
e
n
e
t
w
o
r
k
.
Des
k
to
p
O
L
A
P
r
ep
o
r
ts
ca
n
b
e
u
s
ed
b
y
d
ec
is
io
n
m
a
k
er
s
a
n
d
a
n
y
o
th
er
u
s
er
s
to
p
er
f
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r
m
all
OL
A
P
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p
er
atio
n
s
in
s
tan
tl
y
an
d
s
h
o
w
th
e
an
al
y
tical
r
esu
lts
ac
co
r
d
in
g
to
th
e
s
e
lecte
d
d
i
m
en
s
io
n
s
.
O
L
A
P
r
ep
o
r
ts
all
o
w
u
s
er
s
to
n
av
i
g
ate
th
e
ed
u
c
atio
n
al
c
u
b
e
o
n
th
e
b
a
s
is
o
f
t
h
e
OL
A
P
o
p
er
atio
n
s
.
KP
I
is
a
p
o
w
er
f
u
l
to
o
l
i
n
an
y
DSS
t
h
at
h
elp
s
in
g
i
v
in
g
s
tatu
s
an
d
tr
en
d
in
d
icato
r
s
a
n
d
p
r
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ti
n
g
th
e
c
u
r
r
en
t
v
alu
e
a
n
d
h
o
w
n
ea
r
it is
to
th
e
g
o
al.
T
h
e
s
tatic
e
v
alu
at
io
n
m
et
h
o
d
is
p
er
f
o
r
m
ed
to
c
h
ec
k
th
e
DS
S
er
r
o
r
s
b
y
in
s
p
ec
ti
n
g
k
n
o
w
l
ed
g
e
b
ase
w
it
h
o
u
t
u
s
i
n
g
DSS.
T
h
e
p
r
o
p
o
s
ed
DSS
co
n
f
ir
m
s
t
h
e
s
ec
u
r
i
t
y
asp
ec
t
s
w
h
er
e
t
h
e
d
as
h
b
o
ar
d
s
ar
e
ac
ce
s
s
ed
b
y
p
er
m
i
tted
u
s
er
s
o
n
l
y
.
T
h
ese
r
estrictio
n
s
also
co
n
f
ir
m
t
h
e
p
r
iv
ac
y
asp
ec
t
s
w
h
er
e
s
tu
d
e
n
ts
’
p
er
s
o
n
al
in
f
o
r
m
atio
n
is
h
id
d
en
f
r
o
m
a
n
al
y
s
t
s
.
T
h
e
ev
alu
at
io
n
p
r
o
ce
s
s
o
f
DSS
is
a
s
tat
ic
m
et
h
o
d
w
h
er
e
th
e
k
n
o
w
led
g
e
b
ase
is
r
e
v
ie
w
ed
to
c
h
ec
k
th
e
er
r
o
r
s
an
d
m
i
s
tak
e
s
i
n
t
h
e
k
n
o
w
led
g
e
b
ase
o
f
t
h
e
D
SS
w
ith
o
u
t
u
s
i
n
g
D
SS
.
T
h
e
p
r
esen
tatio
n
is
c
h
ec
k
ed
to
co
n
f
ir
m
th
e
s
tatic
e
v
al
u
atio
n
r
e
q
u
ir
e
m
e
n
ts
.
T
h
e
DS
S
u
s
ab
ilit
y
,
co
s
t
ef
f
ec
ti
v
e
n
es
s
an
d
ef
f
ec
ti
v
en
e
s
s
ar
e
c
h
ec
k
e
d
o
n
th
e
b
asi
s
o
f
t
h
e
s
y
s
t
e
m
u
s
a
g
e
[
5
6
]
-
[
6
1
]
.
Su
b
s
eq
u
en
tl
y
,
th
e
d
y
n
a
m
i
c
ev
alu
a
tio
n
i
s
p
er
f
o
r
m
ed
o
v
er
test
ca
s
e
s
af
ter
ap
p
ly
in
g
t
h
e
DSS
i
n
t
h
e
s
c
h
o
o
l.
I
n
th
is
s
te
p
,
th
e
ex
p
er
ts
c
h
ec
k
th
e
o
b
tain
ed
r
esu
lts
f
r
o
m
t
h
e
test
ca
s
es.
A
l
l
th
e
u
s
ab
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t
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to
r
s
ar
e
ex
a
m
in
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s
u
ch
as
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n
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il
i
t
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u
n
d
er
s
ta
n
d
ab
ilit
y
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er
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o
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p
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en
tio
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,
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,
o
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er
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ilit
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,
e
f
f
icien
c
y
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a
ttra
ctiv
e
n
e
s
s
,
a
n
d
ef
f
ec
tiv
e
n
e
s
s
[
6
2
]
-
[
6
7
]
.
4.
CO
NCLU
SI
O
N
AND
F
U
T
U
RE
WO
RK
S
I
n
th
i
s
s
t
u
d
y
,
a
r
o
ad
m
ap
f
o
r
i
m
p
le
m
e
n
ti
n
g
an
i
n
d
ep
en
d
en
t
ed
u
ca
tio
n
al
d
ata
m
ar
t
is
ex
p
la
in
ed
.
T
h
e
in
d
ep
en
d
en
t
ed
u
ca
tio
n
al
d
ata
m
ar
t
is
t
h
e
b
ase
o
f
th
e
r
es
u
lti
n
g
D
SS
.
Ma
n
y
d
i
f
f
icu
lt
ie
s
ar
e
d
ea
lt
w
it
h
in
i
m
p
le
m
en
t
in
g
a
n
ed
u
ca
t
io
n
al
d
ata
m
ar
t,
s
u
c
h
as
h
a
n
d
lin
g
t
h
e
p
ap
er
-
b
ased
d
ata
s
o
u
r
ce
,
i
m
p
le
m
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