I
nte
rna
t
io
na
l J
o
urna
l o
f
E
lect
rica
l a
nd
Co
m
p
ute
r
E
ng
in
ee
ring
(
I
J
E
CE
)
Vo
l
.
7
,
No
.
5
,
Octo
b
e
r
2
0
1
7
,
p
p
.
2
8
2
3
~2
832
I
SS
N:
2
0
8
8
-
8708
,
DOI
: 1
0
.
1
1
5
9
1
/
i
j
ec
e
.
v7
i
5
.
pp
2
8
2
3
-
2
832
2823
J
o
ur
na
l ho
m
ep
a
g
e
:
h
ttp
:
//ia
e
s
jo
u
r
n
a
l.c
o
m/o
n
lin
e/in
d
ex
.
p
h
p
/I
JE
C
E
Co
nv
erting UML
C
la
ss
D
ia
g
ra
m
s
i
nto
T
e
m
po
ra
l
O
b
ject
R
ela
tiona
l
D
a
ta
B
a
se
Ain E
l H
a
y
a
t
So
u
m
iy
a
,
B
a
ha
j
M
o
ha
m
ed
De
p
a
rtme
n
t
o
f
M
a
th
e
m
a
ti
c
s an
d
Co
m
p
u
ter S
c
ien
c
e
,
Ha
ss
a
n
1
st Un
iv
e
rsit
y
,
S
e
tt
a
t,
M
o
r
o
c
c
o
Art
icle
I
nfo
AB
ST
RAC
T
A
r
ticle
his
to
r
y:
R
ec
eiv
ed
Dec
1
4
,
2
0
1
6
R
ev
i
s
ed
Ma
y
1
,
2
0
1
7
A
cc
ep
ted
A
ug
11
,
2
0
1
7
Nu
m
b
e
r
o
f
a
c
ti
v
e
re
se
a
rc
h
e
rs
a
n
d
e
x
p
e
rts,
a
re
e
n
g
a
g
e
d
to
d
e
v
e
lo
p
a
n
d
im
p
le
m
e
n
t
n
e
w
m
e
c
h
a
n
ism
a
n
d
f
e
a
tu
re
s
in
ti
m
e
v
a
r
y
in
g
d
a
tab
a
se
m
a
n
a
g
e
m
e
n
t
s
y
st
e
m
(
T
V
DBMS
),
to
re
sp
o
n
d
to
th
e
re
c
o
m
m
e
n
d
a
ti
o
n
o
f
m
o
d
e
rn
b
u
sin
e
ss
e
n
v
iro
n
m
e
n
t.
T
im
e
-
v
a
r
y
in
g
d
a
ta
m
a
n
a
g
e
m
e
n
t
h
a
s
b
e
e
n
m
u
c
h
tak
e
n
in
to
c
o
n
si
d
e
ra
ti
o
n
w
it
h
e
it
h
e
r
th
e
a
t
tri
b
u
te
o
r
t
u
p
le
t
ime
sta
m
p
in
g
sc
h
e
m
a
.
Ou
r
m
a
in
a
p
p
ro
a
c
h
h
e
r
e
is
to
try
to
o
f
f
e
r
a
b
e
tt
e
r
so
lu
ti
o
n
to
a
ll
m
e
n
ti
o
n
e
d
li
m
it
a
ti
o
n
s
o
f
e
x
isti
n
g
w
o
rk
s,
in
o
rd
e
r
to
p
ro
v
i
d
e
th
e
n
o
n
-
p
ro
c
e
d
u
ra
l
d
a
ta
d
e
f
in
it
io
n
s,
q
u
e
ri
e
s
o
f
te
m
p
o
ra
l
d
a
ta
a
s
c
o
m
p
lete
a
s
p
o
ss
ib
le
tec
h
n
ica
l
c
o
n
v
e
rsio
n
,
th
a
t
a
ll
o
w
to
e
a
sil
y
re
a
li
z
e
a
n
d
sh
a
re
a
ll
c
o
n
c
e
p
tu
a
l
d
e
tails
o
f
th
e
UML
c
las
s
sp
e
c
i
f
ic
a
ti
o
n
s,
f
ro
m
c
o
n
c
e
p
ti
o
n
a
n
d
d
e
si
g
n
p
o
i
n
t
o
f
v
ie
w
.
T
h
is
p
a
p
e
r
c
o
n
tri
b
u
tes
to
re
p
re
se
n
t
a
lo
g
ica
l
d
e
si
g
n
sc
h
e
m
a
b
y
UML
c
las
s
d
iag
r
a
m
s,
w
h
ich
a
r
e
h
a
n
d
led
b
y
ste
re
o
t
y
p
e
s
to
e
x
p
re
ss
a
te
m
p
o
ra
l
o
b
jec
t
re
latio
n
a
l
d
a
tab
a
se
w
it
h
a
tt
rib
u
te t
im
e
sta
m
p
in
g
.
K
ey
w
o
r
d
s
:
Me
ta
-
m
o
d
el
T
em
p
o
r
al
d
atab
ase
T
im
e
v
ar
y
i
n
g
UM
L
cla
s
s
Valid
ti
m
e
Co
p
y
rig
h
t
©
2
0
1
7
In
stit
u
te o
f
A
d
v
a
n
c
e
d
E
n
g
i
n
e
e
rin
g
a
n
d
S
c
ien
c
e
.
Al
l
rig
h
ts
re
se
rv
e
d
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
A
i
n
E
l H
a
y
at
So
u
m
i
y
a
,
Dep
ar
t
m
en
t o
f
Ma
th
e
m
at
ics a
n
d
C
o
m
p
u
ter
Scien
ce
,
Hass
a
n
1
s
t U
n
iv
er
s
it
y
,
Se
ttat,
Mo
r
o
cc
o
,
E
m
ail:
s
o
u
m
y
a
.
ai
n
el
h
a
y
a
t@
g
m
ail.
co
m
1.
I
NT
RO
D
UCT
I
O
N
A
T
e
m
p
o
r
al
o
b
j
ec
t
r
elatio
n
al
d
atab
ase
is
a
co
llectio
n
o
f
1
NF,
n
o
n
-
N
F,
a
n
d
/o
r
t
y
p
ed
tab
les.
T
em
p
o
r
al
d
ata
r
ep
r
esen
tatio
n
h
as
b
ee
n
f
o
r
m
ed
w
it
h
t
w
o
d
if
f
er
en
t
ti
m
esta
m
p
i
n
g
s
c
h
e
m
e
s
:
t
u
p
le
an
d
attr
ib
u
te.
T
u
p
le
ti
m
esta
m
p
in
g
u
s
e
s
t
h
e
f
ir
s
t
n
o
r
m
al
f
o
r
m
(
1
NF)
r
elatio
n
s
to
s
to
r
e
ti
m
e
-
v
ar
ian
t
d
ata.
A
ttrib
u
te
ti
m
e
s
ta
m
p
i
n
g
r
eq
u
ir
es
n
o
n
-
f
ir
s
t
n
o
r
m
al
-
f
o
r
m
r
elatio
n
s
,
th
e
a
d
v
an
ta
g
e
o
f
attr
ib
u
te
t
i
m
e
s
ta
m
p
in
g
is
t
h
at
v
alu
e
s
o
f
ti
m
e
-
v
ar
ian
t a
ttrib
u
tes ar
e
g
r
o
u
p
ed
to
g
eth
er
an
d
s
to
r
ed
as a
u
n
it i
n
o
n
e
co
l
u
m
n
[
1
]
.
T
h
e
liter
atu
r
e
o
n
te
m
p
o
r
al
d
at
ab
ase
o
f
f
er
s
t
h
r
ee
d
i
m
e
n
s
io
n
s
o
f
ti
m
e
f
o
r
te
m
p
o
r
al
d
ata
s
u
p
p
o
r
t,
w
h
ic
h
ar
e
in
d
ep
en
d
en
t
ea
ch
to
o
th
er
:
tr
an
s
ac
tio
n
ti
m
e,
v
alid
ti
m
e,
u
s
er
-
d
ef
i
n
ed
ti
m
e.
Valid
ti
m
e
is
th
e
p
er
io
d
d
u
r
in
g
w
h
ic
h
a
r
o
w
is
o
cc
u
r
r
ed
in
th
e
r
ea
lit
y
i
n
th
e
d
atab
ase,
it
is
th
e
f
ac
t
as
i
s
v
alid
in
t
h
e
m
o
d
eled
in
t
h
e
r
ea
l.
T
r
an
s
ac
tio
n
ti
m
e
a
u
to
m
atica
ll
y
ca
p
tu
r
es c
h
an
g
e
s
m
ad
e
to
th
e
s
tate
o
f
ti
m
e
-
v
ar
ia
n
t d
ata
i
n
a
d
atab
ase
[
2
]
.
User
-
d
ef
in
ed
ti
m
e
is
a
t
i
m
e
th
a
t
u
s
er
s
i
n
p
u
t
ac
co
r
d
in
g
to
t
h
eir
n
ee
d
s
[
3
]
.
T
h
er
e
is
also
a
n
o
th
er
d
i
m
e
n
s
io
n
o
f
te
m
p
o
r
al
d
atab
ase
ca
lled
b
ite
m
p
o
r
al
d
ata.
B
item
p
o
r
al
d
atab
ase
s
y
s
te
m
s
s
u
p
p
o
r
t
b
o
th
v
a
lid
ti
m
e
a
n
d
tr
an
s
ac
tio
n
ti
m
e.
O
n
t
h
e
o
th
e
r
h
an
d
,
b
ite
m
p
o
r
al
d
atab
ases
m
o
d
el
o
u
r
ch
a
n
g
in
g
k
n
o
w
led
g
e
o
f
th
e
c
h
a
n
g
i
n
g
w
o
r
ld
,
h
e
n
ce
ass
o
ciate
d
ata
v
alu
es
w
i
th
f
ac
t
s
an
d
al
s
o
s
p
ec
i
f
y
w
h
e
n
t
h
e
f
ac
ts
w
er
e
v
alid
.
T
h
er
e
b
y
p
r
o
v
id
in
g
a
co
m
p
lete
h
i
s
to
r
y
o
f
d
ata
v
alu
e
s
a
n
d
t
h
eir
c
h
a
n
g
e
s
[
4
]
.
Sev
er
al
te
m
p
o
r
al
d
ata
m
o
d
els,
w
h
ic
h
s
u
p
p
o
r
t
d
if
f
er
e
n
t d
i
m
e
n
s
io
n
o
f
ti
m
e,
ar
e
d
is
cu
s
s
ed
in
p
r
ev
i
o
u
s
w
o
r
k
.
T
em
p
o
r
al
d
atab
ases
ca
p
tu
r
e
t
h
e
h
is
to
r
y
o
f
o
b
j
ec
t
o
r
ac
tiv
ity
o
f
d
atab
ase.
Si
n
ce
t
h
e
te
m
p
o
r
al
d
ata
m
o
d
el
s
u
s
e
th
e
ter
m
o
b
j
ec
t
lo
o
s
el
y
,
o
n
e
w
e
m
a
y
t
h
i
n
k
o
f
th
e
p
o
s
s
ib
ilit
y
o
f
i
n
teg
r
ati
n
g
n
o
n
-
te
m
p
o
r
al
d
atab
as
e
lan
g
u
a
g
e
s
u
c
h
OODB
o
r
O
R
DB
.
W
ith
a
n
o
n
-
te
m
p
o
r
al
d
ata
b
ase
lan
g
u
ag
e,
it
i
s
a
g
r
ea
t
b
u
r
d
en
f
o
r
DB
u
s
er
s
to
d
ea
l
w
it
h
te
m
p
o
r
al
d
ata
all
o
n
t
h
eir
o
w
n
[
5
]
.
Fo
r
r
ep
r
esen
tin
g
ti
m
e
v
ar
y
i
n
g
d
ata
f
r
o
m
t
h
e
r
ea
l
w
o
r
ld
in
to
o
b
j
ec
ts
,
class
d
ia
g
r
a
m
o
f
t
h
e
Un
i
f
ied
Mo
d
elin
g
L
an
g
u
ag
e
(
UM
L
)
h
as
b
ec
o
m
e
a
s
ta
n
d
ar
d
o
f
t
h
e
I
n
f
o
r
m
atio
n
T
ec
h
n
o
lo
g
y
.
UM
L
i
s
a
n
in
d
u
s
tr
y
s
ta
n
d
ar
d
lan
g
u
a
g
e
to
s
p
ec
if
y
,
v
is
u
alize
,
co
n
s
tr
u
ct,
an
d
d
o
cu
m
e
n
t
t
h
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
J
E
C
E
Vo
l.
7
,
No
.
5
,
Octo
b
er
2
0
1
7
:
2
8
2
3
–
2
8
3
2
2824
ar
tif
ac
ts
o
f
s
o
f
t
w
ar
e
s
y
s
te
m
s
[
6
]
.
I
t
is
t
h
e
i
n
te
n
tio
n
o
f
th
i
s
p
ap
er
to
d
ev
elo
p
a
g
en
er
al
s
tr
ate
g
y
f
o
r
tr
an
s
f
o
r
m
atio
n
m
ec
h
a
n
is
m
f
r
o
m
UM
L
c
las
s
d
iag
r
a
m
in
to
o
b
j
ec
ts
in
te
m
p
o
r
al
d
atab
ase
b
ased
o
n
OR
DB
.
T
h
is
ar
ticle
co
n
tain
s
d
e
f
in
i
tio
n
s
o
f
a
w
id
e
r
an
g
e
o
f
co
n
ce
p
ts
s
p
ec
if
ic
to
an
d
w
id
el
y
u
s
ed
w
ith
i
n
te
m
p
o
r
al
d
atab
ases
.
T
h
e
ai
m
s
o
f
th
i
s
w
o
r
k
i
s
to
f
o
r
m
al
ize
th
e
s
tep
s
in
v
o
l
v
ed
in
t
h
e
tr
an
s
f
o
r
m
atio
n
f
r
o
m
UM
L
class
d
ia
g
r
a
m
s
in
to
te
m
p
o
r
al
Ob
j
ec
t r
elatio
n
al
d
atab
ase(
T
OR
DB
)
h
an
d
li
n
g
v
alid
ti
m
e
at
t
h
e
attr
ib
u
te.
W
e
w
il
l
ex
a
m
in
e
an
d
s
to
r
e
d
ata
u
s
i
n
g
attr
ib
u
te
ti
m
esta
m
p
i
n
g
.
I
n
ad
d
itio
n
,
w
e
ad
d
r
ess
t
h
e
is
s
u
es
o
f
s
ea
m
les
s
in
te
g
r
atio
n
w
i
th
UM
L
m
eta
m
o
d
el,
a
n
d
t
h
e
u
s
e
f
u
l
f
ea
tu
r
es
o
f
te
m
p
o
r
al
q
u
er
y
to
r
ep
r
esen
t
t
h
e
te
m
p
o
r
al
d
atab
ase
s
ch
e
m
a.
T
h
e
cr
ea
tio
n
o
f
t
h
e
p
r
o
to
ty
p
e
is
ca
r
r
ied
o
u
t
o
n
Or
ac
le
1
2
C
w
ith
o
u
t
t
h
e
d
ef
in
it
io
n
o
f
a
n
y
n
e
w
ta
m
p
o
r
al
cla
u
s
es i
n
to
SQ
L
4
,
s
o
th
at
n
o
s
tu
d
y
o
f
a
n
e
w
q
u
er
y
is
n
ee
d
ed
.
T
h
is
p
ap
er
is
s
tr
u
ctu
r
ed
as
f
o
llo
w
s
.
An
o
v
er
v
ie
w
o
f
t
h
e
te
m
p
o
r
al
o
b
j
ec
t
r
elatio
n
al
h
as
b
ee
n
m
en
tio
n
ed
in
s
ec
tio
n
3
.
Secti
o
n
4
th
en
d
escr
ib
es
h
o
w
a
n
ex
is
t
in
g
UM
L
clas
s
d
iag
r
a
m
i
s
en
r
ich
ed
w
it
h
OC
L
to
d
ev
elo
p
a
m
eta
-
m
o
d
el
o
f
t
e
m
p
o
r
al
d
atab
ase.
T
h
e
m
ap
p
i
n
g
r
u
les
b
et
w
ee
n
UM
L
a
n
d
T
OR
DB
h
av
e
b
ee
n
p
r
o
p
o
s
ed
in
s
ec
tio
n
5
2.
RE
L
AT
E
D
WO
RK
Sig
n
i
f
ica
n
t
r
esear
c
h
es
ad
d
r
ess
th
e
p
r
o
b
le
m
o
f
n
u
m
er
o
u
s
te
m
p
o
r
al
m
o
d
els
a
n
d
q
u
er
y
la
n
g
u
a
g
e.
A
ta
y
co
m
p
ar
ed
i
n
ter
v
al
-
b
ased
attr
i
b
u
te
an
d
t
u
p
le
ti
m
e
s
ta
m
p
ed
b
ite
m
p
o
r
al
d
ata
m
o
d
els,
ac
ce
s
s
es
an
d
e
v
al
u
ated
th
eir
u
s
ab
ilit
y
u
s
i
n
g
t
h
e
s
a
m
e
d
ata
an
d
s
a
m
e
q
u
er
ies
f
o
r
b
o
th
ap
p
r
o
ac
h
es.
A
cc
o
r
d
in
g
t
o
th
is
co
m
p
ar
i
s
o
n
,
P
etk
o
v
iç
ex
a
m
i
n
ed
th
e
p
er
f
o
r
m
an
ce
i
m
p
lica
tio
n
f
o
r
tu
p
le
an
d
attr
ib
u
te
ti
m
e
s
ta
m
p
i
n
g
,
t
h
is
te
s
t
s
to
r
ed
d
ata
u
s
i
n
g
t
w
o
d
i
f
f
er
en
t
f
o
r
m
s
,
a
n
d
p
er
f
o
r
m
t
h
e
3
6
q
u
er
y
o
n
b
o
th
.
A
r
e
s
ea
r
ch
w
o
r
k
i
n
[
7
]
p
r
o
p
o
s
ed
a
te
m
p
o
r
al
o
b
j
ec
t
r
elatio
n
al
SQ
L
la
n
g
u
a
g
e
h
a
n
d
lin
g
v
al
id
ti
m
e
a
t
th
e
attr
ib
u
te
le
v
el
i
n
a
te
m
p
o
r
al
tr
an
s
p
ar
en
c
y
e
n
v
ir
o
n
m
e
n
t
h
is
p
ap
er
.
T
h
e
ap
p
r
o
ac
h
in
[
8
]
p
r
esen
ted
a
d
atab
ase
ap
p
licatio
n
d
ev
elo
p
m
en
t
en
v
i
r
o
n
m
en
t
f
o
r
b
o
th
te
m
p
o
r
al
an
d
n
o
n
-
te
m
p
o
r
al
u
s
i
n
g
SQ
L
:
2
0
0
3
f
o
llo
w
in
g
th
e
attr
ib
u
te
ti
m
e
s
t
a
m
p
in
g
.
C
o
m
p
ar
is
o
n
o
f
th
r
ee
d
if
f
er
en
t
s
to
r
ag
e
m
o
d
els
(
OODB
,
OR
DB
,
an
d
XM
L
)
f
o
r
th
e
p
ar
a
m
etr
ic
te
m
p
o
r
al
d
ata
m
o
d
el
an
d
esti
m
ate
s
to
r
ag
e
co
s
ts
ar
e
d
is
cu
s
s
ed
in
[
9
]
.
T
h
e
I
SO
(
in
ter
n
atio
n
al
o
r
g
an
izatio
n
f
o
r
s
ta
n
d
ar
d
)
an
d
I
E
C
(
I
n
ter
n
atio
n
al
E
lec
tr
o
tech
n
ica
l
C
o
m
m
is
s
io
n
)
co
m
m
ittee,
i
n
iti
ated
o
p
r
o
j
ec
t
to
cr
ea
te
a
lan
g
u
a
g
e
e
x
te
n
s
io
n
to
s
u
p
p
o
r
t
tem
p
o
r
al
d
atab
ase,
i
s
g
iv
e
n
i
n
[
1
0
]
.
T
h
e
m
o
s
t
i
m
p
o
r
tan
t
f
ea
tu
r
es
i
n
SQ
L
:
2
0
1
1
to
cr
e
ate
an
d
m
an
ip
u
late
te
m
p
o
r
al
d
atab
ase
i
m
p
le
m
en
ted
b
y
I
B
MD
B
2
,
is
d
is
cu
s
s
ed
in
[
1
1
]
.
Slav
i
m
ir
Vesić
p
r
esen
ted
a
te
m
p
o
r
al
co
n
c
ep
t
an
d
f
o
cu
s
ed
o
n
te
m
p
o
r
al
f
ea
t
u
r
es
d
ef
in
ed
i
n
SQL:
2
0
1
1
in
DB
2
[
1
2
]
.
San
d
r
o
R
ad
o
v
an
o
v
ić
e
v
alu
a
t
ed
p
er
f
o
r
m
a
n
ce
o
f
tr
ad
itio
n
al
r
elatio
n
al
DB
MS
(
R
DB
MS)
an
d
te
m
p
o
r
al
d
atab
ases
u
s
i
n
g
Or
ac
le
1
2
c
DB
MS
[
1
3
]
.
Fro
m
th
e
all
-
o
v
er
h
ea
d
r
esu
lt
s
,
w
e
co
n
cl
u
d
e
th
at
m
o
s
t
p
r
o
p
o
s
ed
s
o
lu
tio
n
s
co
n
tai
n
li
m
ited
an
d
s
i
m
p
le
r
u
les
co
m
p
ar
ed
to
o
u
r
w
o
r
k
,
n
o
tab
ly
r
eg
ar
d
in
g
t
h
e
s
co
p
e
an
d
m
et
h
o
d
o
lo
g
y
.
W
e
b
elie
v
e
t
h
at
s
t
u
d
ies
ar
e
b
ased
o
n
ti
m
e
-
v
ar
ia
n
t
d
ata
s
ch
e
m
a
t
o
m
ak
e
r
ec
o
r
d
s
o
f
d
ata,
n
o
t
e
v
en
co
m
p
leted
to
p
r
o
v
id
e
a
c
o
m
p
r
e
h
en
s
iv
e
d
ata
m
o
d
el;
esp
ec
iall
y
at
th
e
r
ep
r
esen
tat
io
n
le
v
el.
Als
o
,
t
h
e
y
d
id
n
o
t
co
n
tr
ib
u
te
to
a
n
y
f
o
r
m
a
l
p
r
o
ce
d
u
r
e
f
o
r
th
e
r
ea
lizatio
n
o
f
m
ap
p
in
g
m
e
th
o
d
s
.
Ou
r
s
tu
d
y
i
s
u
s
i
n
g
t
h
e
co
n
ce
p
t
o
f
“
p
r
o
f
iles
”
t
h
at
g
iv
e
t
h
e
p
o
s
s
ib
ilit
y
to
u
s
e
ex
ten
s
io
n
s
o
f
m
eta
-
m
o
d
el
s
b
ased
o
n
s
ter
eo
t
y
p
es
to
ex
ten
d
class
es.
T
h
e
s
ter
eo
t
y
p
es
c
an
b
e
m
ap
p
ed
in
to
te
m
p
o
r
al
o
b
j
ec
t
r
elatio
n
al
w
it
h
SQ
L
lan
g
u
ag
e.
I
t
r
eq
u
ir
es
th
e
i
m
p
le
m
e
n
tatio
n
o
f
a
p
r
ed
ef
i
n
ed
s
et
o
f
r
u
les
d
ep
en
d
in
g
to
t
h
e
t
y
p
e
o
f
r
eq
u
ir
ed
in
ti
m
e
v
ar
ia
n
t
d
ata.
I
n
F
ig
u
r
e
2
,
w
e
s
u
m
m
ar
ize
an
d
ill
u
s
tr
ate
s
clea
r
l
y
t
h
e
co
m
p
lete
n
e
s
s
o
f
o
u
r
m
ap
p
in
g
s
tr
ateg
y
,
th
a
t
in
cl
u
d
e
en
tit
ies,
o
b
j
ec
ts
,
an
n
o
tatio
n
,
r
elatio
n
s
h
ip
s
b
et
w
ee
n
class
e
s
,
a
ttrib
u
te
s
i
n
t
h
eir
v
ar
i
o
u
s
f
o
r
m
s
,
d
ata
t
y
p
es,
v
al
u
e
t
y
p
e
s
,
clas
s
co
n
s
tr
u
ct
s
,
co
n
s
tr
a
in
t
t
y
p
es
a
n
d
m
u
c
h
m
o
r
e.
Du
r
in
g
o
u
r
cr
i
tic
ized
an
al
y
s
i
s
,
w
e
f
ee
l
t
h
at
s
o
m
e
a
s
p
ec
ts
o
f
ti
m
e
v
ar
ia
n
t
d
ata
w
as
o
v
e
r
lo
o
k
ed
in
m
an
y
w
o
r
k
s
,
w
h
ich
r
e
f
lect
t
h
at
th
e
c
h
alle
n
g
e
f
o
r
th
o
s
e
a
u
t
h
o
r
s
w
as
o
n
l
y
to
co
v
er
th
e
te
ch
n
ica
l
p
a
r
t
o
f
th
e
s
to
r
ag
e
an
d
r
etr
iev
a
l
r
ath
er
t
h
an
o
n
g
ai
n
f
r
o
m
t
h
e
o
f
f
er
e
d
ad
v
an
tag
e
s
i
n
te
m
p
o
r
al
o
b
j
ec
t
r
elatio
n
al.
I
n
ad
d
itio
n
,
A
r
ticle
s
ab
o
u
t th
e
tr
a
n
s
f
o
r
m
atio
n
f
r
o
m
UM
L
class
t
o
tem
p
o
r
al
d
atab
ase
ar
e
n
o
t a
s
f
r
eq
u
en
t.
T
h
e
g
o
al
o
f
o
u
r
w
o
r
k
is
n
o
t
m
ai
n
l
y
to
cr
ea
te
b
etter
tem
p
o
r
al
o
b
j
et
r
elatio
n
al
d
atab
ase
f
r
o
m
UM
L
class
d
ia
g
r
a
m
,
b
u
t
to
a
f
f
o
r
d
a
w
ell
ar
r
an
g
ed
a
n
d
a
co
m
p
lete
as
p
o
s
s
ib
le
tr
an
s
f
o
r
m
a
tio
n
,
th
a
t
ca
n
b
e
a
co
n
cr
ete
r
ef
er
en
ce
f
o
r
f
u
r
t
h
er
in
v
est
ig
at
io
n
s
a
n
d
w
o
r
k
s
in
t
h
i
s
co
m
m
o
n
ar
ea
.
W
e
cr
ea
te
o
u
r
s
o
lu
tio
n
b
y
co
m
b
i
n
e
s
e
v
er
al
r
es
u
lt
s
f
r
o
m
t
h
e
ex
is
ti
n
g
m
eth
o
d
s
a
n
d
ap
p
ly
o
u
r
en
h
a
n
ce
m
en
t
u
s
i
n
g
m
eta
-
m
o
d
el
ap
p
r
o
ac
h
.
Mo
r
e
p
r
ec
is
el
y
,
w
e
p
r
o
p
o
s
e
th
e
r
u
le
s
th
at
f
ac
ilit
ate
th
e
tr
an
s
f
o
r
m
atio
n
f
r
o
m
UM
L
class
d
iag
r
a
m
i
n
to
te
m
p
o
r
al
d
atab
ase
b
ased
o
n
OR
DB
.
T
h
er
ef
o
r
e,
th
is
s
tu
d
y
p
r
esen
ts
a
m
eta
-
m
o
d
el
to
d
ef
i
n
e
s
et
o
f
s
ter
eo
t
y
p
e
f
o
r
th
e
s
p
ec
if
icatio
n
o
f
n
e
w
c
h
ar
ac
ter
i
za
tio
n
o
f
th
e
v
al
id
ti
m
e
as
s
o
ciate
d
w
ith
U
ML
cla
s
s
d
iag
r
a
m
s
,
i
n
o
r
d
er
to
m
ak
e
a
co
r
r
ec
t d
escr
ip
tio
n
o
f
a
d
at
a
s
tr
u
ct
u
r
e.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
-
8708
C
o
n
ve
r
tin
g
UML C
la
s
s
Dia
g
r
a
ms in
to
Temp
o
r
a
l O
b
ject
R
ela
tio
n
a
l D
a
ta
B
a
s
e
(
A
in
E
l H
a
ya
t S
o
u
miya
)
2825
3.
T
E
M
P
O
RAL O
B
J
E
CT
RE
L
AT
I
O
NA
L
DAT
AB
ASE
R
E
P
RE
SE
N
T
A
T
I
O
N
Ob
j
ec
t
-
R
elatio
n
al
Data
b
ase
(
OR
DB
)
is
in
cr
ea
s
i
n
g
l
y
p
o
p
u
la
r
as
th
e
d
atab
ase
s
to
r
ag
e.
I
ts
p
o
p
u
lar
it
y
is
b
ased
o
n
its
ab
ilit
y
to
ca
p
tu
r
e
th
e
o
b
j
ec
t
-
o
r
ien
ted
m
o
d
elin
g
s
e
m
an
t
ic
an
d
th
e
m
a
t
u
r
it
y
o
f
r
elatio
n
al
i
m
p
le
m
en
ta
tio
n
[
1
4
]
.
OR
DB
e
m
er
g
ed
to
i
n
co
r
p
o
r
ate
th
e
o
b
ject
tech
n
o
lo
g
y
to
th
e
r
elatio
n
d
atab
ases
,
allo
w
in
g
th
e
tr
ea
t
m
en
t
o
f
co
m
p
le
x
d
ata
t
y
p
e
an
d
d
if
f
er
en
t
t
y
p
e
o
f
r
el
atio
n
s
h
ip
s
.
T
o
en
h
an
ce
O
R
d
atab
ase
an
d
g
i
v
e
t
h
e
co
r
r
ec
t
d
escr
ip
tio
n
o
f
attr
ib
u
t
e,
w
e
as
s
o
ciate
ti
m
e
a
t
r
o
w
s
.
T
h
is
m
o
d
el
i
s
d
e
v
elo
p
ed
to
an
s
w
er
th
e
li
m
itatio
n
o
f
o
b
j
ec
t
r
elatio
n
m
o
d
el.
T
e
m
p
o
r
al
d
ata
m
ea
n
s
t
h
at
th
e
d
ata
ar
e
d
ef
i
n
ed
to
h
a
v
e
s
o
m
e
ti
m
e
-
r
elate
d
in
f
o
r
m
atio
n
a
s
s
o
ciate
d
w
it
h
th
e
m
[
1
5
]
.
Dif
f
er
en
t
n
e
w
e
x
te
n
s
io
n
o
f
S
QL
allo
w
u
s
er
to
d
ef
i
n
e
n
e
w
s
tr
u
ct
u
r
ed
d
ata
t
y
p
e
ac
co
r
d
in
g
to
t
h
e
r
eq
u
ir
ed
d
ata
t
y
p
es
f
o
r
ea
ch
s
y
s
te
m
.
Stru
ct
u
r
ed
t
y
p
e
ca
n
b
e
u
s
ed
as
t
h
e
t
y
p
e
to
d
ef
i
n
e
a
ta
b
le
o
r
as
th
e
t
y
p
e
o
f
co
lu
m
n
.
T
h
is
k
in
d
o
f
tab
le
is
c
alled
t
y
p
ed
tab
le
co
r
r
esp
o
n
d
s
to
th
e
Ob
j
ec
t ty
p
e.
I
n
th
i
s
p
ap
er
,
s
ev
er
al
te
m
p
o
r
al
co
n
ce
p
ts
w
i
ll
b
e
ad
d
ed
to
o
n
OR
DB
d
atab
ase.
A
te
m
p
o
r
al
tab
le
is
f
o
r
m
all
y
d
e
f
in
ed
as
f
o
llo
w
s
:
T=
{
Na
m
e
,
UDT,
Co
ns
t
ra
int
s
}
,
w
h
er
e
n
a
m
e
is
th
e
n
a
m
e
as
s
ig
n
ed
to
th
e
tab
le.
UDT
is
th
e
co
r
r
es
p
o
n
d
in
g
t
y
p
e
f
r
o
m
w
h
ic
h
t
h
e
tab
le
is
b
a
s
ed
.
C
o
n
s
tr
ain
t
s
li
k
e
p
r
i
m
ar
y
k
e
y
o
r
c
h
ec
k
co
n
s
tr
ain
t
s
m
u
s
t
b
e
co
n
s
id
er
ed
b
ec
au
s
e
t
h
e
y
d
ef
in
e
c
h
ar
ac
ter
is
tic
a
n
d
ac
ce
s
s
p
ath
to
th
e
o
b
j
ec
ts
.
A
u
s
er
d
ef
i
n
ed
t
y
p
e
(
U
DT
)
is
a
s
tr
u
ct
u
r
ed
t
y
p
e
h
a
v
i
n
g
s
tate,
b
eh
av
io
r
a
n
d
r
elatio
n
s
h
ip
to
o
th
er
t
y
p
e
[
m
ap
p
in
g
UM
L
cla
s
s
]
.
I
n
t
h
i
s
s
en
s
e,
a
n
U
DT
ca
n
b
e
d
ef
i
n
e
d
as
f
o
llo
w
s
:
UDT
=
{
na
m
e,
p
er
io
d,
At
t
}
,
w
h
er
e
n
a
m
e
i
s
a
n
a
m
e
o
f
u
s
e
d
e
f
in
e
d
ty
p
e.
P
er
io
d
m
ea
n
s
th
e
UD
T
h
as
an
o
p
en
-
clo
s
e
in
ter
v
al
t
i
m
e
(
s
tar
t
an
d
en
d
attr
ib
u
tes)
r
ep
r
esen
ti
n
g
a
v
a
li
d
p
er
io
d
.
A
n
d
att
is
a
s
et
o
f
UDT
y
p
e’
s
attr
ib
u
te
s
,
w
h
ic
h
i
ts
d
ata
t
y
p
e
ca
n
b
e
p
r
ed
ef
in
ed
t
y
p
e
(
in
te
g
er
,
d
ate,
.
.
.
)
,
u
s
er
d
ef
in
ed
co
n
s
tr
u
cted
(
co
llectio
n
,
R
E
F,
R
o
w
,
.
.
.
)
o
r
r
ef
er
en
ce
.
A
ttrib
u
tes
r
ep
r
esen
tatio
n
h
as
b
ee
n
f
o
r
m
ed
w
it
h
t
w
o
d
i
f
f
er
en
t
le
v
el
s
:
n
o
n
-
te
m
p
o
r
al
attr
ib
u
te,
a
n
d
attr
ib
u
te
h
is
to
r
y
o
r
attr
ib
u
te
ti
m
esta
m
p
i
n
g
.
4.
CASE
S
T
UD
Y
AND
M
O
DE
L
I
N
G
AP
P
RO
ACH
4
.
1
.
U
M
L
Cla
s
s
Dia
g
ra
m
s
:
UM
L
h
as
a
v
er
y
r
ic
h
n
o
tat
io
n
o
f
f
er
s
m
an
y
asp
ec
t
s
o
f
s
o
f
t
w
ar
e
e
n
g
i
n
ee
r
i
n
g
a
n
d
ap
p
licatio
n
s
d
ev
elo
p
m
en
t.
I
t
is
a
s
tan
d
ar
d
lan
g
u
a
g
e
f
o
r
o
b
j
ec
t
o
r
ien
ted
an
al
y
s
i
s
t
h
at
is
a
b
le
to
s
p
ec
i
f
y
a
w
id
e
r
a
n
g
e
o
f
o
b
j
ec
t
o
r
ien
ted
co
n
ce
p
ts
b
y
m
o
d
elin
g
a
d
atab
ase
s
c
h
e
m
a.
I
n
ad
d
itio
n
,
UM
L
p
r
o
v
id
es
m
ec
h
an
i
s
m
s
th
at
en
ab
le
n
e
w
k
in
d
s
o
f
m
o
d
elin
g
ele
m
e
n
ts
to
b
e
d
ef
in
ed
,
a
n
d
also
e
n
ab
le
to
r
elate
t
h
e
in
f
o
r
m
a
tio
n
to
n
e
w
m
o
d
eli
n
g
ele
m
e
n
ts
.
T
h
is
i
s
ac
co
m
p
lis
h
ed
b
y
in
te
g
r
ati
n
g
s
ter
eo
t
y
p
e,
co
n
s
tr
ain
ts
an
d
tag
g
ed
v
al
u
es
.
I
t
d
ef
in
es
s
ev
er
al
g
r
ap
h
ical
d
ia
g
r
a
m
s
in
ter
m
s
o
f
t
h
e
v
ie
w
s
o
f
s
y
s
te
m
.
I
t
h
as
b
ee
n
w
id
el
y
u
s
ed
i
n
d
atab
ase
d
esig
n
p
r
o
ce
s
s
f
o
r
th
e
co
n
ce
p
tu
al,
lo
g
ical
an
d
p
h
y
s
ical
r
ep
r
esen
tatio
n
.
I
n
t
h
i
s
w
o
r
k
,
w
e
f
o
cu
s
o
n
th
e
u
s
e
o
f
class
d
ia
g
r
a
m
s
f
o
r
th
is
p
u
r
p
o
s
e.
C
la
s
s
d
ia
g
r
a
m
in
clu
d
es
m
a
n
y
e
le
m
e
n
t
s
to
m
o
d
el
co
r
r
esp
o
n
d
in
g
to
t
h
e
s
y
s
te
m
r
eq
u
ir
e
m
en
ts
.
W
e
h
av
e
s
elec
ted
t
h
e
m
o
r
e
co
m
m
o
n
l
y
u
s
ed
f
o
r
d
atab
ase
d
esig
n
;
it
is
co
m
p
o
s
ed
o
f
p
r
o
p
er
ties
,
class
,
a
s
s
o
ciatio
n
,
etc.
Dif
f
er
e
n
t
t
y
p
e
s
o
f
r
elatio
n
s
h
ip
s
b
et
w
ee
n
cla
s
s
es
c
an
b
e
estab
lis
h
ed
:
ag
g
r
e
g
at
io
n
,
co
m
p
o
s
i
tio
n
,
ass
o
ciatio
n
,
i
n
h
er
i
tan
ce
.
Fig
u
r
e
1
p
r
esen
t
s
t
h
e
cla
s
s
d
i
ag
r
a
m
m
o
d
eli
n
g
d
ata
o
f
e
m
p
l
o
y
ee
Ma
n
a
g
e
m
en
t
S
y
s
te
m
in
a
b
u
s
i
n
es
s
co
m
p
a
n
y
.
T
h
is
m
o
d
el
w
ill b
e
u
s
ed
in
t
h
e
e
x
a
m
p
le
s
p
r
esen
te
d
alo
n
g
th
i
s
p
ap
er
.
Fig
u
r
e
1
.
C
las
s
d
iag
r
a
m
f
o
r
a
m
an
a
g
e
m
e
n
t e
m
p
lo
y
ee
s
y
s
te
m
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
J
E
C
E
Vo
l.
7
,
No
.
5
,
Octo
b
er
2
0
1
7
:
2
8
2
3
–
2
8
3
2
2826
4
.
2
.
M
et
a
-
M
o
del f
o
r
T
e
m
po
r
a
l D
a
t
a
ba
s
e
W
e
n
ee
d
in
t
h
is
w
o
r
k
to
d
e
v
el
o
p
an
ap
p
licatio
n
,
w
h
ic
h
ta
s
k
is
to
k
ee
p
r
ec
o
r
d
s
o
f
c
h
an
g
es
o
f
d
ata
i
n
p
ast,
p
r
esen
t
o
r
in
th
e
f
u
t
u
r
e.
T
h
is
ap
p
licatio
n
m
a
in
ta
in
s
th
e
h
is
to
r
y
o
f
e
m
p
lo
y
ee
s
w
it
h
s
al
ar
y
,
d
ep
ar
t
m
e
n
t
an
d
p
r
o
j
ec
t
in
f
o
r
m
a
tio
n
.
T
h
e
p
r
o
b
le
m
t
h
at
o
cc
u
r
s
i
n
n
o
n
te
m
p
o
r
al
d
atab
ases
is
th
at
o
n
l
y
c
u
r
r
en
t
s
tate
o
f
d
ata
is
m
e
m
o
r
ized
.
T
h
is
p
r
o
b
lem
ca
n
b
e
s
o
lv
ed
u
s
i
n
g
v
ar
y
i
n
g
ti
m
e
f
ea
tu
r
es.
T
h
e
te
m
p
o
r
al
co
n
ce
p
ts
li
n
k
s
ti
m
e
o
f
ev
en
t
o
r
a
f
ac
t
w
it
h
a
ti
m
e,
t
h
e
n
ee
d
to
d
escr
ib
e
clea
r
ly
t
h
e
ev
en
t
w
h
e
n
it
h
a
s
o
cc
u
r
r
ed
in
r
ea
l
ti
m
e
to
b
e
tr
u
e
o
r
v
alid
.
W
ith
te
m
p
o
r
al
d
atab
ase,
th
e
t
i
m
e
v
ar
y
in
g
o
f
e
m
p
l
o
y
ee
,
p
r
o
j
ec
t
an
d
th
e
d
ep
ar
t
m
en
t
w
h
er
e
h
e
w
o
r
k
s
is
ca
p
tu
r
ed
.
Fo
r
ex
a
m
p
le:
w
e
ca
n
k
ee
p
tr
ac
k
o
f
t
h
e
s
p
ec
i
f
ic
p
er
io
d
o
f
tim
e
d
u
r
in
g
a
n
e
m
p
lo
y
ee
h
as
h
ir
ed
in
co
m
p
a
n
y
o
n
Feb
r
u
ar
y
2
,
2
0
0
1
to
n
o
w
.
T
h
is
P
er
io
d
ca
n
b
e
r
ep
r
esen
ted
as
th
e
s
et
o
f
all
ti
m
e
p
o
in
t
s
an
d
h
is
to
r
ical
d
ata
f
r
o
m
i
ts
s
tar
t
to
n
o
w
.
T
h
at
e
m
p
lo
y
ee
h
a
v
e
w
o
r
k
ed
in
f
in
a
n
cial
d
ep
ar
t
m
e
n
t
d
u
r
in
g
f
o
u
r
th
y
ea
r
s
,
h
e
h
a
s
w
o
r
k
ed
f
r
o
m
0
1
/0
2
/2
0
0
1
u
n
til
1
0
/1
1
/2
0
0
5
.
A
n
e
m
p
l
o
y
ee
c
h
a
n
g
ed
h
is
d
ep
ar
t
m
en
t
an
d
h
e
r
ec
ei
v
ed
an
ad
d
itio
n
al
6
% salar
y
i
n
cr
ea
s
e
w
h
e
n
h
er
d
ep
ar
t
m
en
t c
h
a
n
g
ed
.
A
lt
h
o
u
g
h
t
h
e
cla
s
s
d
ia
g
r
a
m
i
s
a
g
en
er
al
p
u
r
p
o
s
e
lan
g
u
ag
e
f
o
r
v
i
s
u
al
m
o
d
eli
n
g
,
te
m
p
o
r
al
d
atab
ase
m
o
d
eli
n
g
h
as
n
o
t
b
ee
n
ad
d
r
e
s
s
ed
.
T
h
er
ef
o
r
e,
it
is
n
ec
ess
ar
y
to
d
ev
elo
p
a
n
e
w
Me
ta
-
Mo
d
el
f
o
r
tem
p
o
r
al
d
atab
ase
o
p
er
atio
n
m
o
d
elin
g
.
A
Me
ta
-
Mo
d
el
is
in
v
o
lv
ed
f
o
r
ea
ch
d
a
tab
ase
an
d
s
y
s
te
m
en
g
i
n
ee
r
i
n
g
to
g
et
a
b
etter
co
m
p
r
eh
e
n
s
io
n
o
f
a
d
ata
m
o
d
el
,
b
ec
au
s
e
it
d
escr
i
b
es
th
e
s
tr
u
ct
u
r
e,
r
elatio
n
s
h
i
p
s
,
co
n
s
tr
ain
t
s
an
d
s
e
m
a
n
tic
o
f
d
ata.
T
h
is
p
ap
er
p
r
o
p
o
s
es
an
ap
p
r
o
ac
h
u
s
in
g
UM
L
ex
te
n
s
io
n
m
ec
h
an
is
m
t
o
d
ef
in
e
a
n
e
w
s
e
t
o
f
UM
L
m
o
d
e
l
ele
m
e
n
ts
t
h
at
r
e
p
r
esen
t
t
h
e
p
r
ev
io
u
s
clas
s
d
ia
g
r
a
m
in
c
lu
d
i
n
g
v
ar
y
i
n
g
ti
m
e
f
ea
tu
r
es.
T
h
is
Me
ta
-
Mo
d
el
g
iv
e
t
h
e
p
o
s
s
ib
il
it
y
to
u
n
d
er
s
tan
d
t
h
e
s
tr
u
ct
u
r
e
o
f
te
m
p
o
r
al
d
atab
ases
an
d
co
n
s
tr
u
ct
s
ch
e
m
a
tr
a
n
s
latio
n
,
w
h
ic
h
f
ac
i
late
th
e
m
i
g
r
atio
n
i
n
to
te
m
p
o
r
al
d
atab
a
s
e
b
ased
o
n
OR
DB
.
T
h
is
n
e
w
m
o
d
el
is
en
r
ich
ed
b
y
O
C
L
ex
p
r
ess
io
n
.
O
C
L
is
a
m
o
d
eli
n
g
lan
g
u
ag
e
u
s
ed
to
s
p
ec
if
y
t
h
e
co
n
s
tr
ain
t o
f
ele
m
en
t
s
w
it
h
i
n
a
m
o
d
el
[
1
6
]
.
Fig
u
r
e
2
.
UM
L
p
r
o
f
ile
f
o
r
m
a
n
ag
e
m
e
n
t e
m
p
lo
y
ee
s
y
s
te
m
e
n
r
ich
ed
w
i
th
te
m
p
o
r
al
d
ata
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
-
8708
C
o
n
ve
r
tin
g
UML C
la
s
s
Dia
g
r
a
ms in
to
Temp
o
r
a
l O
b
ject
R
ela
tio
n
a
l D
a
ta
B
a
s
e
(
A
in
E
l H
a
ya
t S
o
u
miya
)
2827
5.
P
RO
P
O
SE
D
M
E
T
H
O
DS T
O
M
AP
P
I
NG
UM
L
I
NT
O
T
E
M
P
O
RAL O
RDB
T
em
p
o
r
al
OR
DB
is
a
co
llectio
n
o
f
tab
les
ea
ch
o
f
w
h
ic
h
is
ca
n
d
er
iv
ed
f
r
o
m
an
y
s
tr
u
ct
u
r
ed
ty
p
e
o
r
a
t
y
p
ed
tab
le.
User
-
d
ef
in
ed
t
y
p
e
in
cl
u
d
es
a
li
s
t
o
f
at
tr
ib
u
te
d
ef
in
i
tio
n
s
:
attr
ib
u
te
a
n
d
attr
i
b
u
te
ti
m
es
ta
m
p
i
n
g
.
T
im
e
-
v
ar
y
i
n
g
attr
ib
u
tes
m
u
s
t
b
e
n
o
n
-
ato
m
ic
v
a
lu
e
s
.
Als
o
,
ty
p
ed
tab
le
h
a
s
a
r
o
w
ca
lled
R
E
F.
T
h
e
R
E
F
is
a
d
ata
t
y
p
e
w
h
ich
co
n
tai
n
s
th
e
r
ef
er
en
ce
o
f
an
o
t
h
er
t
y
p
ed
ta
b
le.
T
h
e
ex
is
te
n
ce
o
f
th
i
s
co
l
u
m
n
ca
n
r
ep
lace
t
h
e
co
n
ce
p
t
o
f
th
e
f
o
r
eig
n
k
e
y
i
n
t
h
e
r
elatio
n
al
d
ata
m
o
d
el.
I
n
th
is
s
ec
tio
n
,
th
e
r
u
les
o
f
th
e
m
i
g
r
atio
n
o
f
t
h
e
UM
L
in
to
T
OR
DB
w
ill
b
e
d
is
c
u
s
s
e
d
.
W
e
in
teg
r
ate
o
r
ac
le’
s
co
n
c
ep
ts
o
f
n
es
ted
tab
les
to
cr
ea
te
th
e
ti
m
e
v
ar
y
in
g
co
lu
m
n
s
.
5
.
1
.
Ass
o
cia
t
io
n
Ass
o
ciatio
n
is
a
r
elatio
n
s
h
ip
b
et
w
ee
n
2
class
e
s
i
n
d
icatin
g
t
h
at,
at
leas
t
o
n
e
s
id
e
o
f
t
h
e
r
elatio
n
s
h
ip
k
n
o
w
s
ab
o
u
t
t
h
e
o
th
er
s
id
e.
I
n
T
OR
DB
,
w
e
p
r
o
p
o
s
e
a
m
et
h
o
d
o
f
m
ai
n
tai
n
i
n
g
th
e
r
e
f
er
e
n
ce
t
y
p
e
(
R
E
F)
as
co
llectio
n
in
t
h
e
‘
o
n
e
’
s
id
e
w
it
h
v
ar
y
in
g
T
i
m
e
p
er
io
d
.
T
r
an
s
f
o
r
m
at
io
n
r
es
u
lt is
:
5
.
1
.
1
.
1
:
N
Ass
o
cia
t
io
n
Def
i
n
itio
n
1
:
Fo
r
t
w
o
class
e
s
n
a
m
e
l
y
C
1
an
d
C
2
co
n
tain
v
alid
ti
m
e
P
er
io
d
.
I
f
C
1
an
d
C
2
h
as
1
:N
ass
o
ciatio
n
r
elati
o
n
s
h
ip
(
R
E
L
)
,
th
is
R
ela
tio
n
s
h
ip
is
tr
an
s
late
d
in
UDT
1
an
d
UDT
2
co
r
r
esp
o
n
d
in
g
to
C
1
an
d
C
2
,
w
h
er
e
UDT
1
h
as
an
attr
ib
u
te
ti
m
e
s
ta
m
p
i
n
g
s
to
r
e
co
llectio
n
o
f
R
E
F
v
alu
e
r
e
f
er
en
c
in
g
to
an
o
b
j
ec
t
in
UDT
2
w
it
h
v
a
lid
ti
m
e
P
er
io
d
(
Vt_
Star
t,V
t
-
E
n
d
)
.
T
r
an
s
f
o
r
m
atio
n
r
esu
l
t
is
:
UD
T
1
=
[
U
DT
1
.
Na
m
e,
At
t
ribute
s
,
vt
-
s
t
a
rt
,
v
t
-
end,
NT
(
Ref
(
UDT
2
)
,
v
t
-
s
t
a
r
t
,
v
t
-
end)]
And UDT
2
=[
UD
T
2
.
Na
m
e,
At
t
ribut
es,
v
t
-
s
t
a
rt
,
v
t
-
end]
E
x
a
m
p
le
1
:
C
lass
e
s
E
m
p
lo
y
e
e
an
d
Dep
ar
t
m
en
t
h
av
e
1
:
N
ass
o
ciatio
n
r
elatio
n
s
h
ip
(
s
ee
F
ig
1
)
.
T
h
i
s
t
y
p
ical
ex
a
m
p
le
i
s
ad
ap
ted
to
s
u
it
o
u
r
v
alid
ti
m
e
s
u
p
p
o
r
t
at
th
e
attr
ib
u
te
ti
m
esta
m
p
in
g
l
ev
el.
A
s
s
h
o
w
n
i
n
tab
les
1
an
d
2
,
th
e
ti
m
e
v
ar
y
i
n
g
i
n
f
o
r
m
atio
n
o
f
e
m
p
lo
y
ee
a
n
d
d
ep
ar
tm
e
n
ts
w
h
er
e
h
e
w
o
r
k
s
is
s
to
r
ed
.
I
n
t
h
ese
t
w
o
tab
les,
ea
c
h
v
alid
ti
m
e
p
er
io
d
is
a
clo
s
ed
-
o
p
en
in
ter
v
a
l [
Vt
-
s
tar
t,
Vt
-
E
n
d
)
.
T
ab
le
1
.
T
h
e
E
m
p
lo
y
ee
T
e
m
p
o
r
al
T
ab
le
T
ab
le
2
.
T
h
e
Dep
ar
tm
e
n
t T
em
p
o
r
al
T
ab
le
N
u
md
e
p
t
N
a
me
d
e
p
t
M
a
n
a
g
e
r
V
T
_
S
t
a
r
t
V
T
_
EN
D
N
o
e
mp
V
T
_
S
t
a
r
t
V
T
_
EN
D
1
C
o
mp
u
t
e
r
2
0
6
/
0
6
/
2
0
1
0
2
2
/
1
1
/
2
0
1
5
1
5
/
0
7
/
1
9
9
8
3
1
/
1
2
/
9
9
9
9
1
2
3
/
1
1
/
2
0
1
5
3
1
/
1
2
/
9
9
9
9
2
A
c
c
o
u
n
t
i
n
g
5
0
3
/
0
5
/
2
0
0
4
3
1
/
1
2
/
9
9
9
9
0
3
/
0
5
/
2
0
0
4
3
1
/
1
2
/
9
9
9
9
3
A
f
t
e
r
-
sal
e
s
3
2
0
/
1
2
/
2
0
0
5
2
9
/
1
1
/
2
0
1
2
2
0
/
1
2
/
2
0
0
5
2
9
/
1
1
/
2
0
1
2
4
M
a
r
k
e
t
i
n
g
3
3
0
/
1
1
/
2
0
1
2
3
1
/
1
2
/
9
9
9
9
2
1
/
1
2
/
2
0
1
0
3
1
/
1
2
/
9
9
9
9
5
.
1
.
2
.
N:
N
Ass
o
cia
t
io
n
Def
i
n
itio
n
2
:
Fo
r
t
w
o
class
es
n
a
m
e
l
y
C
1
an
d
C
2
co
n
tain
v
a
lid
ti
m
e
P
er
io
d
.
I
f
C
1
an
d
C
2
h
as
N:N
ass
o
ciatio
n
r
elatio
n
s
h
ip
(
R
E
L
)
in
C
3
,
i
m
p
le
m
en
t
C
1
an
d
C
2
as
UDT
s
,
w
h
er
e
UDT
1
h
as
an
attr
ib
u
te
ti
m
e
s
ta
m
p
i
n
g
s
to
r
e
co
l
lectio
n
o
f
Att.C3
an
d
co
llectio
n
o
f
R
E
F
v
alu
e
r
ef
er
en
ci
n
g
to
an
o
b
j
ec
t
i
n
UDT
2
w
it
h
v
al
id
ti
m
e
P
er
io
d
(
Vt_
Star
t,V
t
-
E
n
d
)
.
T
r
an
s
f
o
r
m
atio
n
r
es
u
lt
i
s
:
UDT
1
=
[UD
T
1
.
Na
m
e
,
Attr
ib
u
te
s,
v
t
-
sta
r
t,
v
t
-
e
n
d
,
NT(R
e
f(UD
T
2
),
Attr
ib
u
te
,
v
t
-
st
a
r
t,
v
t
-
e
n
d
)]
A
n
d
UD
T
2
=[
UDT
2
.
Na
m
e
,
Attr
i
b
u
t
e
s,
v
t
-
sta
r
t,
v
t
-
e
n
d
]
E
xa
mp
le
2
:
C
lass
es
e
m
p
lo
y
e
e
an
d
p
r
o
j
ec
t
h
av
e
N:
N
a
s
s
o
ciatio
n
r
elatio
n
s
h
ip
(
s
ee
Fi
g
1
)
.
T
h
e
r
ef
er
en
ce
s
o
f
o
n
e
clas
s
to
g
et
h
er
w
it
h
th
e
r
elatio
n
s
h
ip
s
w
il
l
b
e
m
ap
p
ed
as
a
co
llectio
n
in
an
o
th
er
clas
s
tab
le
w
it
h
clo
s
ed
-
o
p
en
i
n
ter
v
al
[
Vt
-
s
tar
t,
Vt
-
E
n
d
)
.
No
Emp
N
a
me
B
i
r
t
h
d
a
y
g
r
a
d
e
V
T
_
S
t
a
r
t
V
T
_
EN
D
D
e
p
a
r
t
me
n
t
g
r
a
d
e
V
T
_
S
t
a
r
t
V
T
_
EN
D
D
e
p
t
V
T
_
S
t
a
r
t
V
T
_
EN
D
1
H
a
j
a
r
1
0
/
0
4
/
1
9
8
6
e
n
g
i
n
e
e
r
1
5
/
0
2
/
2
0
0
7
2
2
/
1
1
/
2
0
1
5
1
5
/
0
2
/
2
0
0
7
3
1
/
1
2
/
9
9
9
9
1
1
5
/
0
2
/
2
0
0
7
3
1
/
1
2
/
9
9
9
9
M
a
n
a
g
e
r
2
3
/
1
1
/
2
0
1
5
3
1
/
1
2
/
9
9
9
9
2
M
o
h
a
me
d
0
2
/
0
6
/
1
9
5
6
e
n
g
i
n
e
e
r
1
5
/
0
7
/
1
9
9
8
0
8
/
1
0
/
2
0
0
6
1
5
/
0
7
/
1
9
9
8
2
2
/
1
1
/
2
0
1
5
1
1
5
/
0
7
/
1
9
8
0
2
2
/
1
1
/
2
0
1
5
M
a
n
a
g
e
r
0
9
/
1
0
/
2
0
0
6
2
2
/
1
1
/
2
0
1
5
3
A
mi
n
e
2
4
/
0
8
/
1
9
7
6
A
c
c
o
u
n
t
0
3
/
0
5
/
2
0
0
4
1
2
/
0
9
/
2
0
0
6
0
3
/
0
5
/
2
0
0
4
3
1
/
1
1
/
2
0
1
1
2
0
3
/
0
5
/
2
0
0
1
1
2
/
0
9
/
2
0
0
6
C
o
mm
e
r
c
i
a
l
1
3
/
0
9
/
2
0
0
6
3
1
/
1
1
/
2
0
1
1
4
1
3
/
0
9
/
2
0
0
6
3
1
/
1
1
/
2
0
1
1
4
I
l
y
a
s
3
0
/
0
1
/
1
9
7
9
M
a
n
a
g
e
r
2
0
/
1
2
/
2
0
0
5
3
1
/
1
2
/
9
9
9
9
2
0
/
1
2
/
2
0
0
5
3
1
/
1
2
/
9
9
9
9
3
2
0
/
1
2
/
2
0
0
5
2
9
/
1
1
/
2
0
1
2
4
3
0
/
1
1
/
2
0
1
2
3
1
/
1
2
/
9
9
9
9
5
I
man
e
3
1
/
0
5
/
1
9
7
5
M
a
n
a
g
e
r
0
3
/
0
5
/
2
0
0
4
3
1
/
1
2
/
9
9
9
9
0
3
/
0
5
/
2
0
0
4
3
1
/
1
2
/
9
9
9
9
3
0
3
/
0
5
/
2
0
0
4
3
1
/
1
2
/
9
9
9
9
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
J
E
C
E
Vo
l.
7
,
No
.
5
,
Octo
b
er
2
0
1
7
:
2
8
2
3
–
2
8
3
2
2828
T
ab
le
3
.
T
h
e
E
m
p
lo
y
ee
T
e
m
p
o
r
al
T
ab
le
T
ab
le
4
.
T
h
e
Pro
j
ec
t
T
em
p
o
r
al
T
ab
le
N
o
Emp
N
a
me
B
i
r
t
h
d
a
y
g
r
a
d
e
V
T
_
S
t
a
r
t
V
T
_
EN
D
P
r
o
j
e
c
t
g
r
a
d
e
V
T
_
S
t
a
r
t
V
T
_
EN
D
P
r
o
j
e
t
V
T
_
S
t
a
r
t
V
T
_
EN
D
D
a
t
e
_
d
e
l
i
v
e
y
1
H
a
j
a
r
1
0
/
0
4
/
1
9
8
6
e
n
g
i
n
e
e
r
1
5
/
0
2
/
2
0
0
7
2
2
/
1
1
/
2
0
1
5
1
5
/
0
2
/
2
0
0
7
3
1
/
1
2
/
9
9
9
9
1
1
5
/
0
6
/
2
0
0
6
1
5
/
1
2
/
2
0
0
6
3
0
/
1
2
/
2
0
0
6
M
a
n
a
g
e
r
2
3
/
1
1
/
2
0
1
5
3
1
/
1
2
/
9
9
9
9
2
0
1
/
1
2
/
2
0
1
3
3
1
/
0
2
/
2
0
1
4
3
1
/
0
2
/
2
0
1
4
5
.
2
.
Ag
g
re
g
a
t
io
n
An
ag
g
r
eg
at
io
n
r
e
latio
n
s
h
ip
is
a
b
in
ar
y
a
s
s
o
ciatio
n
t
h
at
s
p
ec
if
ies
a
w
h
o
le
-
p
ar
t
t
y
p
e
r
elatio
n
s
h
ip
.
T
h
e
p
ar
t
is
s
h
ar
ea
b
le
an
d
in
d
ep
en
d
en
t
f
r
o
m
t
h
e
w
h
o
le,
w
h
er
e
ea
ch
p
ar
t
co
m
p
o
n
e
n
t
(
C
2
)
ca
n
b
e
a
p
a
r
t
o
f
m
o
r
e
th
an
w
h
o
le
co
m
p
o
n
en
t
(
C
1
)
.
I
n
ad
d
itio
n
,
ag
g
r
eg
at
io
n
d
o
es
n
o
t
i
m
p
l
y
an
y
r
estrictio
n
o
v
er
th
e
lif
e
o
f
C
2
,
i
f
s
h
ar
ed
p
ar
t
co
u
ld
b
e
in
clu
d
ed
in
s
e
v
er
al
w
h
o
le,
a
n
d
if
s
o
m
e
o
r
all
o
f
th
e
w
h
o
le
s
ar
e
d
elete
d
,
s
h
ar
ed
p
ar
t
m
a
y
s
till
e
x
i
s
t.
I
n
T
OR
DB
,
to
m
ee
t
th
e
r
eq
u
ir
e
m
e
n
t,
w
e
u
s
e
t
h
e
c
o
llectio
n
o
f
UDT
w
ith
v
ar
y
i
n
g
ti
m
e
p
er
io
d
in
t
h
e
w
h
o
le
tab
le.
Defin
itio
n
3
:
Fo
r
t
w
o
class
e
s
n
a
m
el
y
C
1
an
d
C
2
co
n
ta
in
v
alid
ti
m
e
P
er
io
d
.
I
f
C
1
(
UDT
1
)
ca
n
b
e
co
m
p
o
s
ed
b
y
m
o
r
e
t
h
a
n
o
n
e
s
h
ar
ea
b
le
a
n
d
ex
is
te
n
ce
-
in
d
ep
en
d
en
t
C
2
,
i
m
p
le
m
e
n
t
C
2
as
UDT
co
llectio
n
attr
ib
u
te
w
it
h
Valid
T
i
m
e
P
er
io
d
(
Vt
-
Star
t,
Vt
-
E
n
d
)
in
t
ab
le
C
1
.
T
r
an
s
f
o
r
m
a
tio
n
r
es
u
lt
is
:
UDT
1
=[
UDT
1
.
Na
m
e
,
Attr
i
b
u
t
e
s,
v
t
-
sta
r
t,
v
t
-
e
n
d
,
NT(U
DT
2
)]
A
n
d
UD
T
2
=[
U
DT
2
.
Na
m
e
,
Attr
ib
u
te
s,
v
t
-
sta
r
t,
v
t
-
e
n
d
]
E
xa
mp
le
3
:
T
y
p
e
Dep
ar
t
m
e
n
t
is
th
e
ag
g
r
eg
a
tio
n
o
f
t
y
p
e
l
o
ca
tio
n
d
ep
ar
tm
e
n
t
(
s
ee
Fi
g
u
r
e
1
)
.
T
h
e
latter
t
y
p
e
ca
n
s
ti
ll
ex
i
s
t
o
u
t
s
i
d
e
ty
p
e
d
ep
ar
t
m
en
t,
p
r
o
b
ab
ly
in
an
o
t
h
er
class
.
T
h
e
ag
g
r
eg
at
io
n
w
ill
b
e
m
ap
p
ed
as a
co
llectio
n
o
f
UDT
in
cl
u
d
in
g
Va
lid
T
im
e
P
er
io
d
(
Vt
-
Star
t,
Vt
-
E
n
d
)
as a
ttrib
u
tes.
T
ab
le
5
.
T
h
e
Dep
ar
tm
e
n
t T
em
p
o
r
al
T
ab
le
5
.
3
.
Co
m
po
s
it
io
n
I
t
is
a
s
p
ec
ial
k
in
d
o
f
a
g
g
r
eg
atio
n
i
n
w
h
ic
h
t
h
e
p
ar
t
co
m
p
o
n
en
ts
ar
e
p
h
y
s
ical
l
y
i
n
cl
u
d
ed
in
t
h
e
w
h
o
le.
A
co
m
p
o
s
itio
n
r
elatio
n
s
h
ip
i
s
a
n
a
s
s
o
ciatio
n
t
h
at
s
p
ec
if
ies
a
w
h
o
le
-
p
ar
t
t
y
p
e
r
el
atio
n
s
h
ip
,
b
u
t
t
h
is
r
elatio
n
is
s
tr
o
n
g
er
th
an
t
h
e
ag
g
r
e
g
atio
n
,
d
u
e
to
th
e
p
ar
t
lif
e
d
ep
en
d
s
o
n
th
e
w
h
o
le
ex
i
s
t
en
ce
.
T
h
e
p
ar
t
m
u
s
t
b
elo
n
g
to
a
u
n
iq
u
e
w
h
o
le,
a
n
d
it
ca
n
b
e
e
x
p
licitl
y
r
e
m
o
v
ed
b
ef
o
r
e
r
e
m
o
v
i
n
g
it
s
as
s
o
c
iated
w
h
o
le.
So
in
T
OR
DB
,
w
e
n
ee
d
to
ex
clu
s
i
v
el
y
d
e
f
in
e
t
h
e
p
ar
t
co
m
p
o
n
e
n
t
in
s
id
e
th
e
w
h
o
le.
Fo
r
th
is
r
ea
s
o
n
,
w
e
u
s
e
t
h
e
n
ested
tab
le
co
llectio
n
.
A
n
e
s
t
ed
tab
le
is
a
tab
le
ca
n
b
e
s
to
r
e
d
w
it
h
in
a
n
o
th
er
tab
le.
Defin
itio
n
4
:
Fo
r
t
w
o
class
es
n
a
m
e
l
y
C
1
an
d
C
2
co
n
tain
v
a
lid
ti
m
e
P
e
r
io
d
.
I
f
C
1
(
UDT
1
)
co
m
p
o
s
ed
b
y
C
2
i
n
a
co
m
p
o
s
itio
n
a
g
g
r
e
g
atio
n
,
i
m
p
le
m
e
n
t
C
2
as
a
co
l
lectio
n
o
f
m
u
l
tip
le
attr
ib
u
te
f
r
o
m
C
2
w
it
h
Valid
T
im
e
P
er
io
d
in
tab
le
C
1
.
T
r
a
n
s
f
o
r
m
atio
n
r
es
u
lt
is
:
UD
T
1
=
[
UDT
1
.
Na
m
e,
At
t
ribute
s
,
v
t
-
s
t
a
rt
,
v
t
-
end,
NT
(
At
ribute
s
,
v
t
-
s
t
a
rt
,
v
t
-
end)]
E
xa
mp
le
4
:
class
P
r
o
j
ec
t
is
th
e
co
m
p
o
s
itio
n
o
f
cla
s
s
B
u
d
g
et
(
s
ee
Fig
u
r
e
1
)
.
T
h
e
co
m
p
o
s
itio
n
t
y
p
e
w
il
l
b
e
m
ap
p
ed
as
a
co
llectio
n
o
f
m
u
ltip
le
co
lu
m
n
s
f
r
o
m
b
u
d
g
et,
ca
n
b
e
p
lace
d
in
to
a
s
in
g
le
co
lu
m
n
i
n
p
r
o
j
ec
t ta
b
le.
N
u
mP
r
o
j
N
a
me
p
r
o
D
e
t
a
i
l
s
V
T
_
S
t
a
r
t
V
T
_
EN
D
N
a
me
Vt
-
S
t
a
r
t
Vt
-
En
d
1
P
a
y
me
n
t
M
a
n
a
g
e
me
n
t
1
5
/
0
5
/
2
0
0
6
0
1
/
0
1
/
2
0
0
7
C
r
e
a
t
i
o
n
o
f
p
a
y
me
n
t
man
a
g
e
me
n
t
a
p
p
l
i
c
a
t
i
o
n
w
e
b
1
5
/
0
5
/
2
0
0
6
0
1
/
0
1
/
2
0
0
7
2
Emp
l
o
y
m
e
n
t
M
a
n
a
g
e
me
n
t
3
0
/
1
0
/
2
0
1
3
0
1
/
0
2
/
2
0
1
4
I
n
t
e
g
r
a
t
i
o
n
o
f
a
mo
d
u
l
e
i
n
a
n
e
r
p
so
u
r
c
e
3
0
/
1
0
/
2
0
1
3
0
1
/
0
4
/
2
0
1
4
H
R
M
a
n
a
g
e
me
n
t
0
2
/
0
2
/
2
0
1
4
0
1
/
0
4
/
2
0
1
4
N
u
m
d
e
p
t
N
a
me
d
e
p
t
M
a
n
a
g
e
r
V
T
_
S
t
a
r
t
V
T
_
EN
D
D
e
p
t
_
l
o
c
a
t
i
o
n
N
o
e
mp
V
T
_
S
t
a
r
t
V
T
_
EN
D
L
o
c
a
t
i
o
n
V
T
_
S
t
a
r
t
V
T
_
EN
D
1
C
o
mp
u
t
e
r
2
0
6
/
0
6
/
2
0
1
0
2
2
/
1
1
/
2
0
1
5
1
5
/
0
7
/
1
9
9
8
3
1
/
1
2
/
9
9
9
9
C
a
sa
b
l
a
n
c
a
1
5
/
0
7
/
1
9
9
8
3
1
/
1
2
/
9
9
9
9
1
2
3
/
1
1
/
2
0
1
5
3
1
/
1
2
/
9
9
9
9
2
A
c
c
o
u
n
t
i
n
g
5
0
3
/
0
5
/
2
0
0
4
3
1
/
1
2
/
9
9
9
9
0
3
/
0
5
/
2
0
0
4
3
1
/
1
2
/
9
9
9
9
C
a
sa
b
l
a
n
c
a
0
3
/
0
5
/
2
0
0
4
0
3
/
0
6
/
2
0
1
0
R
a
b
a
t
0
4
/
0
6
/
2
0
1
0
3
1
/
1
2
/
9
9
9
9
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
-
8708
C
o
n
ve
r
tin
g
UML C
la
s
s
Dia
g
r
a
ms in
to
Temp
o
r
a
l O
b
ject
R
ela
tio
n
a
l D
a
ta
B
a
s
e
(
A
in
E
l H
a
ya
t S
o
u
miya
)
2829
T
ab
le
6
.
T
h
e
Pro
j
ec
t
T
em
p
o
r
al
T
ab
le
5
.
4
.
I
nh
er
it
a
nce
I
n
P
r
ac
tice,
th
e
in
h
er
itan
ce
is
v
er
y
i
m
p
o
r
ta
n
t
an
d
ea
s
y
t
y
p
e
o
f
r
elatio
n
s
h
ip
.
Fo
r
th
e
cr
ea
tio
n
o
f
t
y
p
es
th
at
r
ep
r
esen
t
th
e
in
h
er
ita
n
ce
,
w
e
ad
d
un
der
f
o
r
th
e
s
u
b
clas
s
,
th
e
k
e
y
w
o
r
d
no
t
f
ina
l
i
f
t
h
e
t
y
p
e
h
a
s
s
u
b
t
y
p
e
s
,
an
d
f
ina
l
if
th
e
t
y
p
e
h
as
n
o
s
u
b
ty
p
e
s
.
F
u
r
th
er
m
o
r
e,
A
d
d
itio
n
al
p
r
o
p
er
ties
o
f
s
u
b
t
y
p
e
ar
e
d
ef
i
n
ed
in
t
h
e
u
s
u
al
w
a
y
w
it
h
ti
m
e
v
ar
y
i
n
g
f
ea
tu
r
es.
Fo
r
ex
am
p
le,
s
alar
ied
em
p
lo
y
ee
is
a
f
u
ll
ti
m
e
e
m
p
l
o
y
ee
i
n
h
er
it
s
clas
s
e
m
p
lo
y
ee
w
it
h
attr
ib
u
te
s
ti
m
e
s
ta
m
p
i
n
g
.
T
h
e
d
etails ar
e
illu
s
tr
ated
in
th
e
f
o
llo
w
in
g
tab
les:
T
ab
le
7
.
T
h
e
E
m
p
lo
y
ee
T
e
m
p
o
r
al
T
ab
le
T
ab
le
8
.
T
h
e
Salar
ied
-
E
m
p
lo
y
ee
T
em
p
o
r
al
T
a
b
le
6.
T
RANSF
O
RM
I
N
G
T
H
E
E
XAM
P
L
E
F
RO
M
U
M
L
I
NT
O
T
E
M
P
O
RAL O
RDB
Q
U
E
RY
T
h
is
s
ec
tio
n
d
escr
ib
es
t
h
e
s
c
h
e
m
a
d
ef
i
n
itio
n
o
f
t
h
e
e
m
p
lo
y
ee
m
an
a
g
e
m
e
n
t
i
n
a
b
u
s
i
n
e
s
s
co
m
p
a
n
y
ex
a
m
p
le
Fi
g
u
r
e
2
,
u
s
in
g
th
e
co
m
m
er
cial
d
atab
ase
o
r
ac
le
1
2
C
.
W
ith
t
h
e
s
t
u
d
ies
p
r
ese
n
ted
in
th
e
p
r
ev
io
u
s
s
ec
tio
n
s
,
it
ca
n
b
e
ab
le
to
p
r
o
d
u
ce
te
m
p
o
r
al
q
u
er
ies
f
o
r
r
ela
tio
n
s
h
ip
s
.
T
h
e
te
m
p
o
r
al
q
u
er
i
es
f
o
r
m
ed
a
s
s
h
o
w
n
in
Fi
g
u
r
e3
:
N
u
m
P
r
o
j
N
a
me
p
r
o
D
e
t
a
i
l
s
V
T
_
S
t
a
r
t
V
T
_
EN
D
B
u
d
g
e
t
N
a
me
Vt
-
S
t
a
r
t
Vt
-
En
d
V
a
l
u
e
Vt
-
S
t
a
r
t
Vt
-
En
d
1
P
a
y
me
n
t
M
a
n
a
g
e
me
n
t
1
5
/
0
5
/
2
0
0
6
0
1
/
0
1
/
2
0
0
7
C
r
e
a
t
i
o
n
o
f
p
a
y
me
n
t
man
a
g
e
me
n
t
a
p
p
l
i
c
a
t
i
o
n
w
e
b
1
5
/
0
5
/
2
0
0
6
1
5
/
0
5
/
2
0
0
6
1
0
0
0
0
0
1
5
/
0
5
/
2
0
0
6
1
5
/
0
5
/
2
0
0
6
2
Emp
l
o
y
m
e
n
t
M
a
n
a
g
e
me
n
t
3
0
/
1
0
/
2
0
1
3
0
1
/
0
2
/
2
0
1
4
I
n
t
e
g
r
a
t
i
o
n
o
f
a
mo
d
u
l
e
i
n
a
n
e
r
p
so
u
r
c
e
3
0
/
1
0
/
2
0
1
3
0
1
/
0
4
/
2
0
1
4
5
0
0
0
0
3
0
/
1
0
/
2
0
1
3
3
0
/
1
0
/
2
0
1
3
H
R
M
a
n
a
g
e
me
n
t
0
2
/
0
2
/
2
0
1
4
0
1
/
0
4
/
2
0
1
4
5
0
0
1
0
0
1
/
0
3
/
2
0
1
4
0
1
/
0
4
/
2
0
1
4
No
Emp
N
a
me
B
i
r
t
h
d
a
y
g
r
a
d
e
V
T
_
S
t
a
r
t
V
T
_
EN
D
g
r
a
d
e
V
T
_
S
t
a
r
t
V
T
_
EN
D
1
H
a
j
a
r
1
0
/
0
4
/
1
9
8
6
e
n
g
i
n
e
e
r
1
5
/
0
2
/
2
0
0
7
2
2
/
1
1
/
2
0
1
5
1
5
/
0
2
/
2
0
0
7
3
1
/
1
2
/
9
9
9
9
M
a
n
a
g
e
r
2
3
/
1
1
/
2
0
1
5
3
1
/
1
2
/
9
9
9
9
No
Emp
N
a
me
B
i
r
t
h
d
a
y
g
r
a
d
e
V
T
_
S
t
a
r
t
V
T
_
EN
D
S
a
l
a
r
y
g
r
a
d
e
V
T
_
S
t
a
r
t
V
T
_
EN
D
S
a
l
a
r
y
V
T
_
S
t
a
r
t
V
T
_
EN
D
1
H
a
j
a
r
1
0
/
0
4
/
1
9
8
6
e
n
g
i
n
e
e
r
1
5
/
0
2
/
2
0
0
7
2
2
/
1
1
/
2
0
1
5
1
5
/
0
2
/
2
0
0
7
3
1
/
1
2
/
9
9
9
9
5
0
0
0
1
5
/
0
6
/
2
0
0
6
1
5
/
1
2
/
2
0
0
7
M
a
n
a
g
e
r
2
3
/
1
1
/
2
0
1
3
1
/
1
2
/
9
9
9
9
5
2
0
0
1
6
/
1
2
/
2
0
0
7
3
1
/
0
2
/
2
0
1
0
1
0
0
1
0
0
1
/
0
3
/
2
0
1
0
3
1
/
1
2
/
9
9
9
9
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
J
E
C
E
Vo
l.
7
,
No
.
5
,
Octo
b
er
2
0
1
7
:
2
8
2
3
–
2
8
3
2
2830
Cre
a
te t
y
p
e
t_
lo
c
a
ti
o
n
a
s o
b
jec
t
(
L
o
c
a
ti
o
n
V
a
rc
h
a
r(2
0
)
,
V
t_
S
tart
Da
te,
V
t_
En
d
Da
te
)/
Cre
a
te t
y
p
e
NT
_
d
e
p
tl
o
c
a
ti
o
n
a
s o
b
jec
t
(
L
o
c
a
ti
o
n
_
d
e
p
t
t
_
lo
c
a
ti
o
n
)
/
Cre
a
te t
y
p
e
L
o
c
_
d
e
p
t
is
tab
le
o
f
NT
_
d
e
p
tl
o
c
a
ti
o
n
;
Cre
a
te t
y
p
e
NT
_
M
a
n
a
g
e
r
a
s o
b
jec
t
(
Em
p
No
Nu
m
b
e
r,
V
t_
S
tart
Da
te,
V
t_
En
d
Da
te)/
Cre
a
te t
y
p
e
M
a
n
a
g
e
r_
d
e
p
t
is
tab
l
e
o
f
NT
_
M
a
n
a
g
e
r
;
Cre
a
te t
y
p
e
t_
De
p
a
rtm
e
n
t
a
s o
b
jec
t(
Nu
m
d
e
p
t
NU
M
BER
,
Na
m
e
d
e
p
t
V
A
RCH
A
R(2
0
),
M
a
n
a
g
e
r
M
a
n
a
g
e
r_
d
e
p
t
,
V
t_
S
tart
Da
te,
V
t_
En
d
Da
te,
De
p
t_
lo
c
a
ti
o
n
L
o
c
_
d
e
p
t)
/
Cre
a
te
tab
le
De
p
a
rtm
e
n
t
o
f
t_
De
p
a
rtm
e
n
t
CON
S
T
R
A
IN
T
d
e
p
t
-
P
K
P
RIM
A
RY
KEY(N
u
m
d
e
p
t),
NES
T
ED
TA
B
L
E
M
a
n
a
g
e
r
S
T
ORE
A
S
M
a
n
a
g
e
r_
tab
,
NES
T
ED
T
A
B
L
E
De
p
t_
l
o
c
a
ti
o
n
S
T
ORE
A
S
L
o
c
a
ti
o
n
_
tab
;
Cre
a
te t
y
p
e
NT
_
Na
m
e
a
s o
b
jec
t
(
Na
m
e
V
A
RCH
AR(1
0
),
V
t_
S
tart
Da
te,
V
t_
En
d
Da
te)/
Cre
a
te t
y
p
e
Na
m
e
_
p
ro
j
is
tab
le
o
f
NT
_
Na
m
e
;
Cre
a
te t
y
p
e
NT
_
Bu
d
g
e
t
a
s o
b
jec
t
(
V
a
lu
e
V
A
RCH
A
R(
1
0
),
V
t_
S
tart
Da
te,
V
t_
En
d
Da
te,
Cre
a
te t
y
p
e
Bu
d
g
e
t_
p
ro
is
tab
le
o
f
NT
_
Bu
d
g
e
t;
Cre
a
te t
y
p
e
t_
p
ro
jec
t
a
s
o
b
jec
t(
Nu
m
p
ro
j
NU
M
BER
,
Na
m
e
p
ro
j
Na
m
e
_
p
ro
j
,
De
tails V
A
RCH
A
R(2
0
),
V
t_
S
tart
Da
te,
V
t_
En
d
Da
te
Bu
d
g
e
t
B
u
d
g
e
t_
p
r
o
)/
Cre
a
te
tab
le
p
r
o
jec
t
o
f
t_
p
ro
jec
t
CON
S
T
R
A
IN
T
p
ro
j
-
P
K
P
RIM
A
RY
KEY(N
u
m
p
ro
j),
NES
T
ED
TA
B
L
E
Na
m
e
p
ro
j
S
T
ORE
A
S
n
a
m
e
_
tab
,
NES
T
ED
TA
B
L
E
Bu
d
g
e
t
S
T
OR
E
A
S
Bu
d
g
e
t_
tab
;
Cre
a
te t
y
p
e
NT
_
d
e
p
t
a
s o
b
jec
t(
De
p
t
REF
t_
De
p
a
rtm
e
n
t,
V
t_
S
tart
Da
te
V
t_
En
d
Da
te)/
Cre
a
te t
y
p
e
d
e
p
t_
e
m
p
is
tab
le o
f
NT
_
d
e
p
t;
Cre
a
te t
y
p
e
NT
_
p
ro
jec
t
a
s o
b
jec
t(
p
ro
jec
t
REF
t
_
p
r
o
jec
t,
V
t_
S
tart
Da
te
V
t_
En
d
Da
te ,
De
li
v
e
r
y
_
d
a
te
D
A
T
E)/
Cre
a
te t
y
p
e
p
ro
j_
e
m
p
is
tab
le
o
f
NT
_
p
ro
jec
t;
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
-
8708
C
o
n
ve
r
tin
g
UML C
la
s
s
Dia
g
r
a
ms in
to
Temp
o
r
a
l O
b
ject
R
ela
tio
n
a
l D
a
ta
B
a
s
e
(
A
in
E
l H
a
ya
t S
o
u
miya
)
2831
Fig
u
r
e
3
.
R
esu
lt o
f
t
h
e
m
i
g
r
ati
o
n
in
to
T
em
p
o
r
al
OR
DB
7.
RE
SU
L
T
S AN
D
AN
AL
Y
SI
S
Ou
r
s
t
u
d
y
s
i
m
p
li
f
ies
t
h
e
co
n
v
er
s
io
n
f
r
o
m
UM
L
class
d
ia
g
r
a
m
as
i
n
p
u
t
i
n
to
T
em
o
p
o
r
al
d
atab
ase
u
s
i
n
g
OR
DB
co
n
ce
p
ts
.
T
h
e
tr
an
s
it
io
n
is
d
o
n
e
w
ith
m
et
h
o
d
s
th
at
ex
tr
ac
t
v
ar
io
u
s
f
u
n
ctio
n
s
f
r
o
m
UM
L
class
d
iag
r
a
m
,
w
h
ic
h
b
ased
o
n
it
lo
g
ical
d
ata
s
tr
u
ct
u
r
e
a
n
d
d
ata
b
eh
av
io
r
.
Fro
m
t
h
ese
i
n
f
o
r
m
at
io
n
s
,
w
e
h
a
v
e
p
r
o
v
id
ed
o
u
r
m
eta
-
Mo
d
el
r
ep
r
esen
tat
io
n
b
y
ad
d
in
g
v
ar
y
i
n
g
t
i
m
e
f
ea
tu
r
e
s
an
d
m
o
r
e
s
e
m
a
n
t
ic
m
etad
ata.
O
n
th
e
o
th
er
h
a
n
d
;
w
e
h
a
v
e
a
s
s
o
ciate
d
a
ti
m
e
at
attr
ib
u
te
to
g
et
th
e
co
r
r
ec
t
d
escr
ip
tio
n
o
f
r
ec
o
r
d
s
.
On
e
ad
v
an
tag
e
s
o
f
Me
ta
-
m
o
d
el
is
b
ased
o
n
it
s
a
b
ilit
y
to
o
v
er
co
m
e
t
h
e
co
m
p
l
icatio
n
s
th
u
s
o
cc
u
r
d
u
r
i
n
g
m
atch
i
n
g
k
e
y
s
,
t
i
m
e
v
ar
y
i
n
g
attr
ib
u
te
s
,
an
d
p
r
o
m
o
tes
t
h
e
v
i
s
u
aliza
tio
n
o
f
n
a
v
ig
a
tio
n
al
p
ath
b
et
w
ee
n
o
b
j
ec
ts
.
I
n
t
h
e
n
e
x
t
s
tep
,
w
e
h
av
e
p
r
o
p
o
s
ed
th
e
r
u
le
s
th
a
t
f
ac
ilit
ate
t
h
e
cr
ea
tio
n
o
f
p
h
y
s
i
ca
l
s
ch
e
m
a
o
f
a
te
m
p
o
r
al
d
atab
ase.
also
,
w
e
h
av
e
g
en
er
ated
t
h
e
m
ai
n
q
u
er
ies
f
o
r
th
e
m
o
d
el
u
s
i
n
g
S
Q
L
4
s
tan
d
a
r
d
.
T
h
is
s
o
lu
t
io
n
e
n
co
u
r
a
g
es
n
o
n
te
m
p
o
r
al
d
atab
ase
u
s
er
s
to
p
r
o
d
u
ce
te
m
p
o
r
al
r
ep
o
r
ts
o
r
te
m
p
o
r
al
q
u
er
ies
ac
co
r
d
in
g
to
th
eir
r
eq
u
ir
e
m
en
ts
an
d
ab
ilit
ie
s
.
Fu
r
t
h
er
m
o
r
e,
o
u
r
i
m
p
le
m
e
n
tatio
n
is
c
o
n
s
id
er
ed
th
e
m
o
s
t
ess
e
n
tial
an
d
cr
itical
p
r
o
ce
s
s
in
th
e
d
ev
elo
p
m
e
n
t
o
f
a
n
ap
p
lica
tio
n
s
u
p
p
o
r
tin
g
te
m
p
o
r
al
d
ata,
to
b
e
m
ad
e
it
is
n
ec
es
s
ar
y
to
b
eg
i
n
b
y
tr
an
s
f
o
r
m
i
n
g
th
e
co
n
ce
p
tu
al
m
o
d
el
(
U
m
l
clas
s
Dia
g
r
a
m
)
i
n
to
l
o
g
ical
Mo
d
el,
an
d
lo
g
ical
m
o
d
el
i
n
to
p
h
y
s
ical
Mo
d
el.
T
h
is
w
o
r
k
is
t
h
e
f
ir
s
t
s
tep
to
i
m
p
le
m
e
n
t
a
n
al
g
o
r
ith
m
f
o
r
co
n
v
er
tin
g
m
et
h
o
d
f
r
o
m
UM
L
clas
s
d
iag
r
a
m
in
to
te
m
p
o
r
al
d
atab
ase,
w
h
ich
n
o
t r
eq
u
ir
es a
n
y
h
u
m
an
i
n
t
er
f
er
en
ce
.
Cre
a
te t
y
p
e
NT
_
g
r
a
d
e
a
s o
b
jec
t
(
G
ra
d
e
V
a
rc
h
a
r(2
0
),
V
t_
S
tart
Da
te,
V
t_
En
d
Da
te)/
Cre
a
te
t
y
p
e
g
ra
d
e
_
e
m
p
is
tab
le o
f
NT
_
g
ra
d
e
;
Cre
a
te t
y
p
e
t_
e
m
p
lo
y
e
e
a
s o
b
jec
t(
No
Em
p
NU
M
BER
,
Na
m
e
V
A
RCH
AR(2
0
),
Birt
h
d
a
y
D
A
T
E,
G
ra
d
e
G
ra
d
e
_
e
m
p
,
V
t_
S
tart
Da
te,
V
t_
En
d
Da
te,
De
p
a
rtme
n
t
d
e
p
t
_
e
m
p
p
ro
jec
t
p
r
o
j_
e
m
p
)
No
t
F
i
n
a
l
/
Cre
a
te
tab
le
e
m
p
lo
y
e
e
o
f
t_
e
m
p
lo
y
e
e
CON
S
T
R
AIN
T
e
m
p
-
P
K
P
RIM
A
RY
KEY(N
o
Em
p
),
NES
T
ED
TA
B
L
E
De
p
a
rt
m
e
n
t
S
TORE
AS
d
e
p
t_
ta
b
,
NES
T
ED
TA
B
L
E
g
ra
d
e
S
T
ORE
A
S
g
ra
d
e
_
tab
,
N
ES
T
ED
TA
B
L
E
p
ro
jec
t
S
T
ORE
A
S
p
ro
j
_
tab
;
Cre
a
te t
y
p
e
NT
_
S
a
lar
y
a
s o
b
jec
t
(
S
a
lar
y
Nu
m
b
e
r,
V
t_
S
tart
Da
te,
V
t_
En
d
Da
te)/
Cre
a
te t
y
p
e
S
a
lar
y
_
e
m
p
is
tab
le o
f
NT
_
S
a
lar
y
;
Cre
a
te t
y
p
e
NT
_
Ho
u
rly
a
s o
b
jec
t
(
P
a
y
_
sc
a
l
Nu
m
b
e
r,
Ho
u
r
Nu
m
b
e
r,
V
t_
S
tart
Da
te,
V
t_
En
d
Da
te)/
Cre
a
te t
y
p
e
Ho
u
rly
_
e
m
p
is
tab
le o
f
NT
_
Ho
u
rly
;
Cre
a
te t
y
p
e
T
_
S
a
larie
d
_
e
m
p
UN
DER
t_
e
m
p
lo
y
e
e
(
sa
lar
y
S
a
lar
y
_
e
m
p
)
F
in
a
l;
Cre
a
te
tab
le
S
a
larie
d
_
e
m
p
o
f
T_
S
a
larie
d
_
e
m
p
UN
DER
e
m
p
lo
y
e
e
NES
T
ED
TA
B
L
E
sa
lar
y
S
TORE
A
S
sa
lar
y
_
tab
;
Cre
a
te t
y
p
e
T
_
h
o
u
rly
_
e
m
p
UN
DER
t_
e
m
p
lo
y
e
e
(h
o
u
rly
Ho
u
rly
_
e
m
p
)
F
in
a
l;
Cre
a
te
tab
le
h
o
u
rly
_
e
m
p
o
f
T
_
h
o
u
rly
_
e
m
p
UN
DER
e
m
p
lo
y
e
e
NES
T
ED
T
ABL
E
h
o
u
rly
S
T
O
RE
A
S
h
o
u
rly
_
tab
;
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
J
E
C
E
Vo
l.
7
,
No
.
5
,
Octo
b
er
2
0
1
7
:
2
8
2
3
–
2
8
3
2
2832
8.
CO
NCLU
SI
O
N
T
h
is
p
ap
er
h
as
p
r
o
p
o
s
ed
an
ap
p
r
o
ac
h
f
o
r
u
s
in
g
UM
L
a
s
th
e
b
asis
f
o
r
a
co
m
p
ar
ativ
e
a
n
al
y
s
i
s
o
f
m
i
g
r
atin
g
to
te
m
p
o
r
al
o
b
j
ec
t
r
elatio
n
al
d
atab
ase.
T
h
e
s
o
lu
tio
n
is
co
n
s
id
er
ed
as
a
co
m
p
let
e
s
tu
d
y
t
h
at
w
h
ic
h
s
h
o
w
s
h
o
w
w
e
ca
n
m
ai
n
tai
n
t
h
e
co
llectio
n
s
e
m
an
tics
s
tated
in
t
h
e
co
n
ce
p
t
u
al
m
o
d
el
in
to
th
e
i
m
p
le
m
en
ta
tio
n
u
s
i
n
g
te
m
p
o
r
al
o
b
j
ec
t
r
elatio
n
al
d
atab
ase.
T
h
e
s
t
u
d
y
i
s
b
as
ed
o
n
a
s
et
o
f
m
et
h
o
d
s
a
n
d
r
u
les
d
ep
en
d
o
n
t
h
e
UM
L
cla
s
s
s
p
ec
if
icatio
n
s
.
T
h
e
o
b
tain
ed
r
esu
lt
s
w
er
e
e
n
co
u
r
ag
ed
an
d
esp
ec
iall
y
r
e
g
ar
d
in
g
t
h
e
s
p
ec
ial
ca
s
es
th
at
w
as
n
o
t
p
r
o
p
o
s
ed
o
n
ex
is
tin
g
w
o
r
k
s
,
lik
e
r
elatio
n
s
h
ip
s
b
et
w
ee
n
clas
s
es.
T
h
ese
n
e
w
m
et
h
o
d
s
ca
n
g
ain
b
en
ef
it
f
o
r
s
p
ec
if
ic
ca
s
es
s
u
c
h
as
tab
les
w
it
h
v
ar
y
i
n
g
ti
m
e
asp
ec
ts
an
d
te
m
p
o
r
al
q
u
er
y
,
e
tc.
Ou
r
s
u
b
s
eq
u
en
t
w
o
r
k
w
ill
b
e
f
o
cu
s
ed
o
n
th
i
s
ap
p
r
o
ac
h
to
d
ev
elo
p
a
f
r
am
e
w
o
r
k
to
allo
w
t
h
e
au
to
m
atic
m
ap
p
in
g
f
r
o
m
te
m
p
o
r
al
r
elatio
n
al
d
atab
ase
in
to
te
m
p
o
r
al
o
b
j
ec
t r
elatio
n
al
d
atab
ase.
RE
F
E
R
E
NC
E
S
[1
]
D.
P
e
tk
o
v
ić
.
“
P
e
rf
o
rm
a
n
c
e
Iss
u
e
s
Co
n
c
e
rn
i
n
g
S
to
ra
g
e
o
f
T
i
m
e
-
V
a
rian
t
Da
ta”
.
Eg
y
p
ti
a
n
Co
m
p
u
ter
S
c
ien
c
e
Jo
u
rn
a
l”.
2
0
1
4
;
V
o
l.
3
8
.
[2
]
P
I
S
a
n
to
sa
,
"
Co
st
a
n
d
b
e
n
e
f
it
o
f
in
f
o
rm
a
ti
o
n
se
a
rc
h
u
sin
g
tw
o
d
if
f
e
re
n
t
stra
teg
i
e
s
.,
T
EL
KOM
NIKA
T
e
lec
o
mm
u
n
ica
ti
o
n
Co
mp
u
ti
n
g
E
lec
tro
n
ics
a
n
d
C
o
n
tr
o
l,
v
o
l
.
8
,
n
o
.
3
,
p
p
.
1
9
5
-
2
0
6
,
2
0
1
0
.
[3
]
R.
S
h
u
x
ia,
Z
.
Zh
e
n
g
,
Z.
X
i
a
o
ji
a
n
.
“
A
n
In
d
e
term
in
a
c
y
T
e
m
p
o
ra
l
Da
ta
M
o
d
e
l
b
a
se
d
o
n
P
r
o
b
a
b
il
it
y
”
.
Telk
o
m
in
c
a
.
2
0
1
3
;v
o
l
1
1
N°
1
1
;
p
p
:
6
6
8
6
-
6
6
9
2
.
[4
]
A
ta
y
,
C.
,
“
A
Co
m
p
a
riso
n
o
f
A
tt
rib
u
te
a
n
d
T
u
p
le
T
im
e
S
ta
m
p
e
d
Bit
e
m
p
o
ra
l
Re
latio
n
a
l
Da
ta
M
o
d
e
ls”
,
P
r
o
c
.
o
f
th
e
In
t.
C
o
n
f
.
o
n
A
p
p
li
e
d
Co
m
p
u
ter S
c
ien
c
e
.
2
0
1
0
;
p
:
4
7
9
-
4
8
9
.
[5
]
Ch
a
u
,
V
.
T
.
N.
a
n
d
S
.
Ch
i
tt
a
y
a
so
th
o
r
n
.
“
A
T
e
m
p
o
ra
l
Ob
jec
t
Re
latio
n
a
l
S
QL
L
a
n
g
u
a
g
e
w
it
h
A
tt
rib
u
te
T
i
m
e
sta
m
p
in
g
in
a
T
e
m
p
o
ra
l
T
ra
n
sp
a
re
n
c
y
En
v
iro
n
m
e
n
t”
.
Da
ta &
Kn
o
w
led
g
e
En
g
in
e
e
rin
g
.
2
0
0
8
;
v
o
l
6
7
,
p
.
3
3
1
-
3
6
1
.
[6
]
A
.
Hid
a
y
a
t,
V
G
.
Uto
m
o
,
“
A
d
a
p
ti
v
e
On
li
n
e
M
o
d
u
le
P
r
o
t
o
ty
p
e
f
o
r
L
e
a
rn
in
g
Un
if
ied
M
o
d
e
ll
in
g
L
a
n
g
u
a
g
e
(UML
)”
.
IJECE.
2
0
1
6
;v
o
l
6
N°
6
;p
p
:2
9
3
1
-
2
9
3
8
.
[
7
]
A
R
A
h
lan
,
HT
S
u
k
m
a
n
a
,
"
A
n
a
lt
e
rn
a
ti
v
e
m
e
th
o
d
f
o
r
d
e
term
in
in
g
c
rit
ica
l
su
c
c
e
ss
f
a
c
to
rs
o
f
in
f
o
rm
a
ti
o
n
sy
ste
m
p
ro
j
ect
.
,
T
EL
KOM
NIKA
T
e
lec
o
m
mu
n
ica
t
io
n
Co
m
p
u
ti
n
g
El
e
c
tro
n
ics
a
n
d
Co
n
tro
l
,
v
o
l.
1
2
,
n
o
.
3
,
p
p
.
6
6
5
-
6
7
4
,
2
0
1
4
.
[8
]
T
.
Ch
a
u
a
n
d
S
.
Ch
it
tay
a
so
th
o
r
n
,
“
A
Te
m
p
o
ra
l
Co
m
p
a
ti
b
le
Ob
jec
t
Re
latio
n
a
l
Da
tab
a
se
S
y
ste
m
”
,
T
h
e
IEE
E
S
o
u
t
h
e
a
stc
o
n
.
2
0
0
7
.
[9
]
No
h
,
S
Y.,
G
a
d
ia,
S
.
K.
&
Ja
n
g
,
H.
J.
Ce
n
t.
“
C
o
m
p
a
riso
n
s
o
f
th
re
e
d
a
ta
sto
ra
g
e
m
o
d
e
ls
in
p
a
ra
m
e
tri
c
te
m
p
o
r
a
l
d
a
tab
a
se
s”
.
Jo
u
rn
a
l
o
f
c
e
n
tral
so
u
th
u
n
iv
e
rsity
.
2
0
1
3
;v
o
l
2
0
;
p
p
1
9
1
9
_
1
9
2
7
.
[1
0
]
IS
O/IEC
9
0
7
5
-
2
:2
0
1
1
,
In
f
o
rm
a
ti
o
n
tec
h
n
o
lo
g
y
-
D
a
tab
a
se
lan
g
u
a
g
e
s
-
S
QL
-
P
a
rt
2
:
F
o
u
n
d
a
ti
o
n
(S
QL
/F
o
u
n
d
a
ti
o
n
).
2
0
1
1
.
[1
1
]
K.Ku
lk
a
rn
i,
JE.
M
ich
e
ls.
“
T
e
m
p
o
ra
l
F
e
a
tu
re
s in
S
QL
:
2
0
1
1
”
.
S
IG
M
OD
Re
c
o
rd
s.
2
0
1
2
;
V
o
l.
4
1
N
o
.
3
.
[1
2
]
S
.
V
e
sić
,
S
.
Ba
b
a
ro
g
ić,
N.
A
n
iči
ć
.
“
Us
e
o
f
th
e
Te
m
p
o
ra
l
Co
n
c
e
p
ts
in
T
ra
n
sa
c
ti
o
n
Da
tab
a
se
”
.
P
R
OC
S
YMORG
.
2
0
1
4
;
p
p
8
5
0
-
8
5
7
.
[1
3
]
S
.
Ra
d
o
v
a
n
o
v
ić,
E.
M
i
l
o
v
a
n
o
v
ić,
Ne
n
a
d
A
n
ičić
.
“
P
e
rf
o
rm
a
n
c
e
Ev
a
lu
a
ti
o
n
Of
T
e
m
p
o
ra
l
F
e
a
tu
re
s
De
f
in
e
d
In
Ora
c
le
1
2
C
Da
tab
a
se
”
.
P
ROC.
S
Y
M
ORG
.
2
0
1
4
;
p
p
8
5
8
-
8
6
6
.
[1
4
]
D.
T
a
n
iar
,
E.
P
a
rd
e
d
e
,
J.
W
e
n
n
y
Ra
h
a
y
u
.
“
Co
m
p
o
siti
o
n
in
Ob
jec
t
-
Re
latio
n
a
l
Da
tab
a
se
”
.
En
c
y
c
lo
p
e
d
ia
o
f
In
f
o
rm
a
ti
o
n
S
c
ien
c
e
a
n
d
T
e
c
h
n
o
l
o
g
y
,
F
irst
Ed
it
io
n
I
G
I
G
lo
b
a
l
.
2
0
0
5
;
p
p
4
8
8
-
4
9
4
.
[1
5
]
S
J
P
u
tra,
A
R
A
h
lan
,
M
Ka
rti
w
i,
"
A
Co
h
e
re
n
t
F
ra
m
e
w
o
rk
f
o
r
Un
d
e
rsta
n
d
in
g
th
e
S
u
c
c
e
ss
o
f
a
n
In
f
o
rm
a
ti
o
n
S
y
ste
m
P
r
o
jec
t
.,
T
EL
KOM
NIKA
T
e
lec
o
m
mu
n
ica
t
io
n
Co
m
p
u
ti
n
g
El
e
c
tro
n
ics
a
n
d
Co
n
tro
l
,
v
o
l.
1
4
,
n
o
.
1
,
p
p
.
3
0
2
-
3
0
8
,
2
0
1
6
.
[1
6
]
L
o
,
C.
M
.
,
H
u
n
g
,
H.Y.
“
t
o
w
a
rd
s
a
UML
p
ro
f
il
e
to
re
latio
n
a
l
d
a
ta
b
a
se
m
o
d
e
li
n
g
”
.
A
p
p
l.
M
a
t
h
.
I
n
f
o
.
S
c
i.
2
0
1
4
;v
o
l
8
(2
);
p
p
7
3
3
-
7
4
3
.
Evaluation Warning : The document was created with Spire.PDF for Python.