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e
b
ig
d
ata
er
a
an
d
b
ec
o
m
e
a
r
eliab
le
to
o
l
f
o
r
p
r
o
ce
s
s
in
g
d
ata
a
n
d
m
o
d
el
ad
j
u
s
tm
en
ts
[
4
]
.
T
h
e
two
m
eth
o
d
s
th
at
will
b
e
u
s
ed
in
th
is
s
tu
d
y
ar
e
K
-
m
ea
n
s
an
d
K
-
m
ed
o
id
s
wh
ich
ar
e
ty
p
es
o
f
u
n
s
u
p
er
v
is
ed
m
ac
h
in
e
lea
r
n
in
g
.
T
h
e
r
esu
lt
is
v
is
u
alize
d
with
Po
wer
B
I
co
m
p
ar
in
g
all
p
r
o
v
id
er
i
n
th
is
r
esear
ch
to
ea
r
n
a
d
ee
p
in
f
o
r
m
atio
n
r
elate
d
to
i
n
ter
n
et
p
r
o
v
id
er
s
p
ee
d
.
I
n
th
e
p
r
ev
io
u
s
s
tu
d
y
,
K
-
m
ea
n
s
is
a
p
o
p
u
la
r
alg
o
r
ith
m
u
s
e
d
f
o
r
m
an
y
ca
s
es
lik
e
c
o
s
m
etic
p
r
o
d
u
cts
m
an
ag
em
en
t
[
5
]
a
n
d
g
r
o
u
p
i
n
g
th
e
web
d
o
cu
m
en
ts
b
ased
o
n
th
e
s
im
ilar
ity
[
6
]
.
Me
a
n
wh
ile,
K
-
m
e
d
o
id
s
alg
o
r
ith
m
is
u
s
ed
in
f
ewe
r
s
tu
d
y
.
On
e
o
f
s
tu
d
y
co
m
p
ar
ed
b
o
th
alg
o
r
ith
m
s
K
-
Me
an
s
an
d
K
-
Me
d
o
id
s
[
7
]
.
B
I
as
a
d
ata
war
eh
o
u
s
e
m
an
ag
em
e
n
t
to
o
l
is
al
s
o
u
s
ed
in
s
ev
er
al
s
tu
d
ies
s
u
ch
as
B
I
ap
p
licati
o
n
f
o
r
m
an
a
g
em
en
t
ac
co
u
n
tin
g
[
8
]
an
d
t
o
an
aly
ze
th
e
s
ig
n
al
s
tr
en
g
th
an
d
co
n
n
ec
tio
n
s
p
ee
d
in
clo
u
d
n
etwo
r
k
s
[
9
]
.
An
in
ter
n
et
s
er
v
ice
p
r
o
v
id
er
(
I
SP
)
is
an
in
s
titu
tio
n
o
r
co
m
p
an
y
th
at
co
n
n
ec
ts
u
s
er
co
m
p
u
ter
s
to
th
e
in
ter
n
et.
T
h
e
i
n
ter
n
et
s
er
v
ice
i
s
a
co
n
n
ec
tio
n
b
etwe
en
v
ar
i
o
u
s
ty
p
es
o
f
c
o
m
p
u
ter
s
an
d
n
etwo
r
k
s
in
th
e
wo
r
ld
with
d
if
f
er
en
t
o
p
er
atin
g
s
y
s
tem
s
an
d
ap
p
licatio
n
s
u
s
in
g
th
e
tr
an
s
m
is
s
io
n
co
n
tr
o
l
p
r
o
t
o
c
o
l/in
ter
n
et
p
r
o
t
o
co
l
(
T
C
P/IP
)
p
r
o
to
co
l
,
wh
ich
c
o
n
tain
s
in
f
o
r
m
atio
n
.
T
h
e
p
o
p
u
lar
ity
o
f
t
h
e
in
ter
n
et
an
d
s
u
b
s
eq
u
en
t
ap
p
licatio
n
d
ev
elo
p
m
e
n
ts
h
av
e
m
a
d
e
o
n
li
n
e
co
n
s
u
m
p
tio
n
th
e
m
ain
f
o
r
m
o
f
co
n
s
u
m
p
tio
n
f
o
r
t
h
e
m
ajo
r
i
ty
o
f
p
e
o
p
le
[
1
0
]
.
BI
ca
n
b
e
in
ter
p
r
ete
d
as
a
t
o
o
l,
tech
n
o
lo
g
y
,
an
d
p
r
o
ce
s
s
n
e
ed
ed
to
ch
an
g
e
d
ata
in
to
i
n
f
o
r
m
atio
n
to
tak
e
k
n
o
wled
g
e
f
o
r
b
u
s
in
ess
d
ev
elo
p
m
e
n
t
[
8
]
.
B
I
is
th
e
p
r
o
ce
s
s
o
f
o
b
tain
in
g
v
ast
d
ata
m
o
u
n
ts
,
an
al
y
zin
g
th
em
,
an
d
p
r
esen
tin
g
t
h
em
i
n
th
e
f
o
r
m
o
f
q
u
ality
r
ep
o
r
ts
th
at
co
n
tain
a
s
u
m
m
ar
ized
v
er
s
io
n
o
f
th
e
d
ata
ess
en
ce
b
ased
o
n
b
u
s
in
ess
ac
ti
o
n
s
,
allo
win
g
m
an
ag
e
m
en
t
to
m
ak
e
d
aily
b
u
s
in
ess
d
ec
is
io
n
s
[
1
1
]
.
B
I
is
a
s
et
o
f
tech
n
iq
u
es
an
d
to
o
ls
to
co
n
v
er
t
d
ata
in
to
im
p
o
r
tan
t
in
f
o
r
m
ati
o
n
f
o
r
b
u
s
in
ess
an
aly
s
is
b
y
lev
er
ag
in
g
th
e
u
s
e
o
f
tech
n
o
lo
g
y
an
d
th
e
in
te
r
n
et.
I
n
p
r
ev
io
u
s
s
tu
d
ies,
B
I
wa
s
u
s
ed
to
f
ac
ilit
ate
th
e
in
ter
p
r
etatio
n
o
f
h
u
m
an
b
eh
av
io
r
,
s
u
ch
as
tr
a
n
s
ac
tio
n
p
atter
n
s
[
1
2
]
.
A
s
tu
d
y
o
f
h
ig
h
er
e
d
u
ca
tio
n
s
tates
th
at
th
e
B
I
m
o
d
el
is
d
iv
id
e
d
in
to
5
lev
els,
n
am
ely
d
ata
s
o
u
r
ce
s
at
th
e
f
ir
s
t
lev
el,
th
en
d
ata
m
ap
p
in
g
,
d
ata
war
eh
o
u
s
e,
m
o
n
ito
r
in
g
an
d
f
o
r
ec
asti
n
g
,
an
d
d
ash
b
o
ar
d
s
[
1
3
]
.
B
I
s
y
s
tem
s
ar
e
u
s
ef
u
l
f
o
r
im
p
r
o
v
in
g
t
h
e
q
u
ality
a
n
d
av
ail
ab
ilit
y
o
f
in
f
o
r
m
atio
n
.
I
n
th
i
s
ca
s
e,
B
I
u
tili
ze
s
th
e
d
ata
war
eh
o
u
s
e
a
s
a
r
ep
o
s
ito
r
y
o
f
in
f
o
r
m
atio
n
s
tr
u
ctu
r
es
an
d
an
aly
s
is
,
b
o
t
h
o
n
lin
e
a
n
aly
tical
p
r
o
ce
s
s
in
g
(
OL
AP)
an
d
d
ata
m
in
in
g
.
A
d
ata
war
eh
o
u
s
e
is
a
s
ep
ar
ate
r
ep
o
s
ito
r
y
o
f
ex
tr
a
cted
d
ata
to
p
r
o
d
u
ce
d
ata
s
o
u
r
ce
s
f
o
r
d
ata
an
aly
s
i
s
an
d
d
ec
is
io
n
s
u
p
p
o
r
t.
Fig
u
r
e
1
s
h
o
ws
th
e
ex
tr
ac
t,
tr
an
s
f
o
r
m
,
lo
a
d
(
E
T
L
)
p
r
o
ce
s
s
,
wh
ich
b
eg
in
s
with
d
a
ta
co
llectio
n
,
wh
ich
is
th
en
r
etr
iev
ed
an
d
tr
a
n
s
f
o
r
m
ed
s
o
th
at
it
ca
n
b
e
en
ter
ed
in
to
th
e
d
ata
war
e
h
o
u
s
e.
Fu
r
t
h
er
m
o
r
e,
t
h
e
d
ata
ca
n
b
e
r
ec
alle
d
f
o
r
p
r
o
ce
s
s
in
g
[
1
4
]
.
Fig
u
r
e
1
.
KDD
p
r
o
ce
s
s
C
u
r
r
en
tly
,
d
ata
o
n
a
n
i
n
d
u
s
tr
i
al
s
ca
le
co
n
s
is
ts
o
f
2
ca
teg
o
r
i
es,
n
am
ely
o
n
lin
e
tr
an
s
ac
tio
n
p
r
o
ce
s
s
in
g
(
OL
T
P)
wh
ich
r
eq
u
ir
es
l
o
w
la
ten
cy
to
r
ea
d
an
d
wr
ite
d
ata,
a
n
d
OL
AP
wh
ich
aim
s
to
r
ea
d
d
ata
b
u
t
with
m
o
r
e
co
m
p
lex
q
u
er
ies.
OL
AP
is
o
n
e
o
f
th
e
cr
u
cial
ap
p
licatio
n
s
i
n
th
e
in
d
u
s
tr
y
f
o
r
m
an
y
co
m
p
an
ies
to
u
n
d
er
s
tan
d
th
eir
b
u
s
in
ess
s
itu
atio
n
[
1
5
]
.
OL
AP
is
a
p
r
o
ce
s
s
th
at
is
u
s
ed
to
a
n
s
wer
th
e
n
ee
d
s
o
f
d
a
ta
an
aly
tics
.
OL
AP
allo
ws
d
ata
to
b
e
p
r
esen
ted
in
a
m
u
ltid
im
en
s
io
n
al
m
a
n
n
er
s
o
th
at
it
ca
n
b
e
v
iew
ed
f
r
o
m
d
if
f
er
en
t
p
er
s
p
ec
tiv
es.
T
h
e
g
o
al
o
f
im
p
lem
en
tin
g
OL
AP
is
p
atter
n
id
en
tific
atio
n
an
d
u
s
e,
wh
er
e
a
m
u
lti
-
d
im
en
s
io
n
al
m
o
d
el
d
is
p
lay
s
a
co
n
c
ep
tu
al
r
ep
r
esen
tatio
n
o
f
a
p
ar
ticu
lar
d
ata
war
eh
o
u
s
e
s
ch
em
a
an
d
co
n
s
is
ts
o
f
in
ter
r
elate
d
en
titi
es
[
1
6
]
.
T
h
e
m
u
ltid
im
e
n
s
io
n
al
d
ata
m
o
d
el
its
elf
is
p
ar
t
o
f
th
e
d
ata
war
eh
o
u
s
e
th
at
u
s
es
a
s
et
o
f
d
im
en
s
io
n
s
an
d
f
ac
ts
.
T
h
e
f
a
ct
its
elf
i
s
m
ar
k
ed
b
y
th
e
ex
is
ten
ce
o
f
a
m
ea
s
u
r
e
wh
ile
t
h
e
d
im
en
s
io
n
is
a
p
er
s
p
ec
tiv
e
th
at
f
o
r
m
s
th
e
b
asi
s
f
o
r
ca
r
r
y
in
g
o
u
t th
e
a
n
aly
tical
p
r
o
ce
s
s
[
1
7
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l Co
n
tr
o
l
B
u
s
in
ess
in
tellig
en
ce
fo
r
mea
s
u
r
in
g
g
lo
b
a
l sys
tems fo
r
mo
b
il
e
co
mmu
n
ica
tio
n
…
(
Yu
s
r
i E
li Ho
tma
n
Tu
r
n
ip
)
739
Data
m
in
in
g
is
a
tech
n
iq
u
e
f
o
r
ex
tr
ac
tin
g
u
s
ef
u
l
d
ata
f
r
o
m
b
ig
d
ata
th
at
aim
s
to
f
in
d
in
f
o
r
m
atio
n
o
r
k
n
o
wled
g
e
[
1
8
]
.
T
h
is
o
p
i
n
io
n
is
s
u
p
p
o
r
ted
b
y
o
th
er
s
tu
d
i
es
th
at
s
tate
th
at
d
ata
m
in
in
g
is
u
s
ed
t
o
o
b
tain
p
atter
n
s
an
d
tr
e
n
d
s
th
at
ar
e
cu
r
r
en
tly
o
cc
u
r
r
in
g
in
th
e
d
ata
c
o
llected
[
1
9
]
.
Data
m
in
in
g
its
elf
is
th
e
m
ain
p
ar
t
o
f
th
e
en
tire
k
n
o
wled
g
e
d
is
co
v
er
y
in
d
atab
ases
(
KDD)
m
eth
o
d
wh
ich
is
a
d
ata
co
llectio
n
ac
tiv
ity
an
d
th
e
u
s
e
o
f
h
is
to
r
ical
d
ata
to
f
i
n
d
k
n
o
wled
g
e
an
d
in
f
o
r
m
atio
n
in
b
ig
d
ata
[
2
0
]
.
Fig
u
r
e
2
s
h
o
ws
a
d
iag
r
am
o
f
th
e
k
n
o
wled
g
e
d
is
co
v
er
y
p
r
o
ce
s
s
in
f
in
d
in
g
in
f
o
r
m
atio
n
f
r
o
m
b
i
g
d
ata.
Fig
u
r
e
2
.
Kn
o
wled
g
e
d
is
co
v
er
y
p
r
o
ce
s
s
Sev
er
al
ty
p
es
o
f
d
ata
m
in
in
g
m
eth
o
d
s
ca
n
b
e
u
s
ed
to
p
r
o
ce
s
s
d
ata,
in
clu
d
in
g
clas
s
if
icatio
n
,
r
eg
r
ess
io
n
,
clu
s
ter
in
g
,
s
u
m
m
a
r
izatio
n
,
d
ep
e
n
d
en
c
y
m
o
d
elin
g
,
an
d
c
h
an
g
e
a
n
d
d
e
v
iatio
n
d
etec
tio
n
.
T
h
er
e
is
a
d
if
f
er
en
ce
b
etwe
en
th
e
class
if
icatio
n
an
d
clu
s
ter
in
g
m
eth
o
d
.
C
las
s
if
icatio
n
is
s
u
p
er
v
is
ed
lear
n
in
g
th
at
n
ee
d
s
to
s
p
lit
th
e
d
ata
in
to
3
p
ar
ts
,
t
r
ain
in
g
d
ata,
v
alid
atio
n
d
ata,
an
d
test
in
g
d
ata
with
a
ce
r
tain
r
atio
lik
e
7
0
/1
5
/1
5
[
2
1
]
.
C
lu
s
ter
in
g
is
a
v
er
y
u
s
ef
u
l to
o
l in
d
ata
s
cien
ce
wh
er
e
t
h
is
m
eth
o
d
g
r
o
u
p
s
a
d
ata
s
et
th
at
is
g
r
o
u
p
e
d
b
ased
o
n
th
e
g
r
ea
test
s
im
ilar
ity
in
o
n
e
clu
s
ter
an
d
th
e
b
ig
g
est
d
if
f
er
en
ce
b
etwe
en
d
if
f
er
e
n
t
clu
s
ter
s
[
2
2
]
.
C
lu
s
ter
in
g
tr
ies
to
co
llect
d
ata
th
at
h
as
s
im
ilar
ities
in
o
n
e
g
r
o
u
p
a
n
d
d
o
es
n
o
t
a
p
p
ea
r
a
g
ain
in
an
o
th
er
g
r
o
u
p
.
T
h
e
d
if
f
icu
lty
lev
el
o
f
clu
s
ter
in
g
is
v
er
y
d
ep
en
d
e
n
t
o
n
th
e
f
o
r
m
o
f
th
e
d
ata
u
s
ed
.
Fo
r
two
-
d
im
en
s
io
n
al
d
ata,
h
u
m
an
v
is
io
n
is
s
till
g
o
o
d
e
n
o
u
g
h
f
o
r
g
r
o
u
p
in
g
.
B
u
t
wh
en
th
e
n
u
m
b
er
o
f
d
i
m
en
s
io
n
s
in
c
r
ea
s
es,
a
clu
s
ter
in
g
alg
o
r
ith
m
is
n
ee
d
e
d
to
d
o
it
[
2
3
]
.
K
-
m
ea
n
s
is
a
clu
s
ter
in
g
m
eth
o
d
th
at
u
s
es
a
lo
o
p
in
g
alg
o
r
it
h
m
.
I
n
th
is
m
eth
o
d
,
th
e
v
alu
e
o
f
K
is
th
e
in
itial
clu
s
ter
in
g
ce
n
ter
,
wh
er
e
th
e
d
is
tan
ce
b
etwe
en
ea
ch
o
b
ject
an
d
th
e
in
itial
clu
s
ter
in
g
ce
n
ter
is
ca
lcu
lated
an
d
ass
ig
n
ed
to
t
h
e
n
e
ar
est
c
lu
s
ter
in
g
ce
n
ter
[
2
4
]
.
T
h
e
K
-
m
ea
n
s
alg
o
r
ith
m
is
co
n
s
id
er
e
d
o
n
e
o
f
th
e
m
o
s
t
p
o
p
u
lar
a
n
d
wid
ely
u
s
ed
d
ata
m
in
in
g
alg
o
r
ith
m
s
in
r
esear
ch
[
2
5
]
.
Dete
r
m
in
in
g
th
e
n
u
m
b
e
r
o
f
clu
s
ter
in
g
an
d
th
e
av
er
ag
e
d
is
tan
ce
n
ee
d
s
to
f
o
llo
w
s
o
m
e
s
tep
s
as
in
:
1)
Select
th
e
n
u
m
b
er
o
f
k
p
ar
titi
o
n
s
in
wh
ich
th
e
o
b
jects will b
e
clu
s
ter
ed
2)
Par
titi
o
n
th
e
o
b
jects in
to
k
s
u
b
s
ets in
a
d
im
en
s
io
n
al
f
ea
tu
r
e
s
p
ac
e
3)
C
h
o
o
s
e
k
r
an
d
o
m
p
o
in
ts
f
r
o
m
th
e
p
ar
titi
o
n
in
g
s
ets as th
e
in
itial c
lu
s
ter
ce
n
tr
o
id
s
4)
C
alcu
late
th
e
d
is
tan
ce
b
etwe
en
th
e
d
ata
p
o
in
t
an
d
th
e
in
i
tial
clu
s
ter
ce
n
tr
o
id
s
f
o
r
ea
ch
clu
s
ter
u
s
in
g
E
u
clid
ian
d
is
tan
ce
5)
Ass
ig
n
o
b
jects to
th
e
g
r
o
u
p
wi
th
th
e
s
h
o
r
test
d
is
tan
ce
6)
I
d
en
tify
t
h
e
n
ew
clu
s
ter
ce
n
tr
o
id
b
y
r
ec
alc
u
latin
g
th
e
p
o
s
itio
n
s
o
f
all
o
b
jects a
s
s
ig
n
ed
to
th
at
clu
s
ter
7)
R
ep
ea
t step
s
3
an
d
6
u
n
til co
n
v
er
g
en
ce
o
r
r
ea
ch
a
f
ix
e
d
n
u
m
b
er
o
f
iter
atio
n
s
,
an
d
co
n
f
ir
m
t
h
at
th
e
o
b
ject
h
as th
e
s
h
o
r
test
E
u
clid
ian
d
is
t
an
ce
f
r
o
m
th
e
clu
s
ter
ce
n
t
r
o
id
8)
C
alcu
late
th
e
av
er
ag
e
d
is
s
im
ilar
ity
o
f
th
e
clu
s
ter
[
2
6
]
T
h
e
K
-
m
ed
o
id
s
alg
o
r
ith
m
is
ca
teg
o
r
ized
as
p
ar
titi
o
n
al
cl
u
s
ter
in
g
wh
ich
g
iv
es
b
etter
r
es
u
lts
wh
en
d
ea
lin
g
with
o
u
tlier
s
a
n
d
th
e
m
ea
n
o
r
m
ed
ian
is
n
o
t
p
r
ese
n
t
in
th
e
d
ata.
Ho
we
v
er
,
K
-
m
ed
o
id
s
also
h
av
e
a
h
ig
h
er
le
v
el
o
f
co
m
p
u
tatio
n
al
co
m
p
lex
ity
[
2
7
]
.
K
-
m
e
d
o
id
s
i
s
a
s
tatis
tic
th
at
s
tate
s
th
at
th
e
d
ata
m
em
b
er
s
o
f
a
d
ata
s
et
h
av
e
a
m
in
im
u
m
d
is
s
im
ilar
ity
to
all
o
t
h
er
m
em
b
er
s
o
f
th
e
s
et.
T
h
er
ef
o
r
e,
t
h
e
m
ed
o
id
is
n
o
t
t
h
e
s
am
e
as
th
e
m
ea
n
.
I
t
r
ep
r
esen
ts
th
e
m
o
s
t
ce
n
tr
alize
d
m
em
b
er
o
f
th
e
d
ata
s
et.
T
h
e
way
th
e
K
-
m
ed
o
id
s
alg
o
r
ith
m
wo
r
k
s
is
s
im
ilar
to
K
-
m
ea
n
s
.
Star
tin
g
f
r
o
m
ch
o
o
s
in
g
k
-
item
d
ata
r
an
d
o
m
ly
as
th
e
in
itial
m
ed
o
id
to
r
ep
r
esen
t
K
clu
s
ter
s
.
All
o
th
er
r
em
ain
in
g
m
em
b
er
s
b
elo
n
g
to
a
clu
s
ter
th
at
h
as
th
e
m
ed
o
id
clo
s
est
to
th
em
.
T
h
en
a
n
ew
m
ed
o
id
is
d
eter
m
in
ed
th
at
ca
n
b
etter
r
ep
r
esen
t
th
e
clu
s
ter
.
All
r
em
ain
in
g
d
ata
item
s
ar
e
r
ea
s
s
ig
n
ed
to
th
e
clu
s
ter
th
at
h
as
th
e
clo
s
est
m
ed
o
id
.
I
n
ea
ch
iter
atio
n
,
th
e
m
e
d
o
id
ch
a
n
g
es
its
lo
ca
tio
n
.
T
h
is
m
eth
o
d
m
i
n
im
izes
th
e
n
u
m
b
er
o
f
d
if
f
er
en
ce
s
b
et
wee
n
ea
ch
d
ata
item
a
n
d
t
h
e
c
o
r
r
esp
o
n
d
in
g
m
ed
o
id
.
T
h
is
cy
cle
is
r
ep
ea
ted
u
n
til
n
o
n
e
o
f
th
e
m
e
d
o
id
s
ch
a
n
g
e
th
eir
p
lace
m
en
t
[
2
3
]
.
2.
M
E
T
H
O
D
T
h
e
r
esear
ch
co
n
d
u
cted
aim
s
to
d
esig
n
a
B
I
f
o
r
in
ter
n
et
s
p
ee
d
in
f
o
r
m
atio
n
f
r
o
m
ea
ch
g
lo
b
al
s
y
s
tem
f
o
r
m
o
b
ile
co
m
m
u
n
icatio
n
s
(
GSM)
o
p
er
ato
r
in
ea
c
h
u
r
b
an
s
u
b
-
d
is
tr
ict
o
f
B
ek
asi
C
ity
.
T
h
e
d
ata
o
b
tain
ed
is
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6
9
3
0
TEL
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
,
Vo
l.
24
,
No
.
2
,
Ap
r
il
20
26
:
7
3
7
-
7
5
0
740
th
en
c
o
m
b
in
e
d
in
t
o
1
d
ata
wa
r
eh
o
u
s
e
t
o
p
r
o
d
u
ce
a
f
ac
t
tab
l
e
wh
ich
will
b
e
p
r
o
ce
s
s
ed
u
s
in
g
OL
AP.
T
h
e
d
ata
o
b
tain
ed
is
th
en
u
s
ed
f
o
r
th
e
u
r
b
an
s
u
b
-
d
is
tr
icts
clu
s
ter
in
g
p
r
o
ce
s
s
in
th
e
city
o
f
B
ek
asi
b
as
ed
o
n
th
e
s
p
ee
d
o
f
in
ter
n
et
ac
ce
s
s
b
o
th
u
p
lo
ad
a
n
d
d
o
wn
lo
ad
u
s
in
g
th
e
K
-
m
e
an
s
an
d
K
-
m
e
d
o
id
s
m
eth
o
d
s
to
th
en
c
o
m
p
ar
e
th
e
ac
cu
r
ac
y
o
f
th
e
r
esu
lts
o
b
tain
ed
.
T
h
e
alg
o
r
ith
m
with
th
e
s
m
allest
Dav
ies
B
o
u
ld
in
in
d
ex
(
DB
I
)
v
alu
e
is
co
n
s
id
er
ed
t
h
e
b
est
alg
o
r
ith
m
with
a
p
r
e
d
eter
m
in
e
d
k
v
alu
e
.
Fig
u
r
e
3
s
h
o
ws
th
e
ar
ch
itectu
r
al
m
o
d
el
o
f
th
e
B
I
s
y
s
tem
th
at
will b
e
cr
ea
ted
in
t
h
is
s
tu
d
y
.
Fig
u
r
e
3
.
B
I
ar
c
h
itectu
r
e
m
o
d
el
I
n
g
en
er
al,
a
s
tu
d
y
co
n
s
is
ts
o
f
th
r
ee
im
p
o
r
tan
t
s
tag
es,
n
am
el
y
th
e
s
tag
e
o
f
m
ak
in
g
a
r
esear
ch
d
esig
n
,
th
e
im
p
lem
en
tatio
n
s
tag
e,
an
d
th
e
r
esu
lts
an
d
d
is
cu
s
s
io
n
s
tag
es
[
2
8
]
.
Fig
u
r
e
4
clea
r
ly
s
h
o
ws
ea
ch
s
tag
e
ca
r
r
ied
o
u
t
f
o
r
ea
c
h
s
tag
e
o
f
th
e
r
esear
ch
ca
r
r
ied
o
u
t.
T
h
e
r
esear
ch
p
h
ase
b
eg
in
s
with
c
o
llectin
g
d
ata
f
r
o
m
r
elate
d
d
ata
s
o
u
r
ce
s
,
s
u
ch
as
f
ield
o
b
s
er
v
atio
n
s
f
o
r
i
n
ter
n
et
ac
ce
s
s
s
p
ee
d
,
an
d
u
r
b
an
s
u
b
-
d
is
tr
icts
d
ata
u
s
in
g
th
e
web
s
cr
ap
in
g
m
eth
o
d
,
s
u
c
h
as
p
o
p
u
latio
n
d
ata,
s
u
b
-
d
is
tr
ict
co
d
es,
an
d
s
u
b
-
d
is
tr
icts
.
Fu
r
th
er
m
o
r
e
,
th
e
d
ata
is
en
ter
ed
in
to
th
e
d
ata
war
eh
o
u
s
e
th
at
was
cr
ea
ted
b
ef
o
r
e.
I
n
d
ata
war
eh
o
u
s
e
d
esig
n
,
attr
ib
u
te
d
eter
m
in
atio
n
is
an
im
p
o
r
tan
t
th
in
g
to
n
o
te
s
o
th
at
th
e
ex
p
ec
ted
d
im
en
s
io
n
tab
le
is
p
r
o
d
u
ce
d
.
T
h
e
n
ex
t
s
tag
e
is
th
e
OL
AP
d
esig
n
to
o
b
tain
th
e
m
ed
ian
v
alu
e
o
f
th
e
o
b
s
er
v
atio
n
d
ata
f
o
r
in
ter
n
et
ac
ce
s
s
s
p
ee
d
to
b
e
p
r
o
ce
s
s
ed
in
th
e
n
e
x
t
p
r
o
ce
s
s
.
T
h
e
r
eq
u
ir
e
d
d
ata
is
th
en
p
r
o
ce
s
s
ed
u
s
in
g
th
e
K
-
m
ea
n
s
an
d
K
-
m
ed
o
id
s
m
eth
o
d
s
to
class
if
y
s
u
b
-
d
is
tr
icts
b
ased
o
n
in
ter
n
et
s
p
e
ed
.
T
esti
n
g
is
ca
r
r
ied
o
u
t
u
s
in
g
th
e
b
lack
b
o
x
m
et
h
o
d
,
wh
er
e
test
in
g
f
o
c
u
s
es
o
n
th
e
o
u
t
p
u
t
b
ased
o
n
t
h
e
in
p
u
t
g
iv
en
[
2
9
]
.
T
h
e
r
e
ar
e
s
ev
er
al
s
tu
d
ies
u
s
in
g
K
-
m
ea
n
s
a
n
d
K
-
m
ed
o
id
s
f
o
r
b
ir
th
d
ata
co
llectio
n
in
Mu
za
f
f
ar
ab
ad
,
Kash
m
ir
[
2
3
]
.
T
h
e
o
th
er
s
tu
d
y
u
s
es
K
-
m
ea
n
s
an
d
K
-
m
ed
o
id
s
to
g
r
o
u
p
cities
b
ased
o
n
th
eir
s
m
ar
t
p
er
f
o
r
m
an
ce
s
[
3
0
]
.
T
h
e
d
ata
will
b
e
p
r
o
ce
s
s
ed
with
th
e
B
I
m
eth
o
d
,
wh
ich
is
u
s
ed
to
co
llect,
m
an
ag
e,
a
n
d
a
n
aly
ze
b
u
s
in
ess
in
f
o
r
m
atio
n
.
A
s
tu
d
y
u
s
ed
th
is
m
eth
o
d
to
cr
ea
te
a
v
is
u
aliza
tio
n
o
f
an
ev
alu
atio
n
f
r
am
ewo
r
k
[
3
1
]
.
Fig
u
r
e
4
.
R
esear
ch
s
tag
e
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l Co
n
tr
o
l
B
u
s
in
ess
in
tellig
en
ce
fo
r
mea
s
u
r
in
g
g
lo
b
a
l sys
tems fo
r
mo
b
il
e
co
mmu
n
ica
tio
n
…
(
Yu
s
r
i E
li Ho
tma
n
Tu
r
n
ip
)
741
2
.
1
.
BI
m
o
del sy
s
t
em
T
h
is
s
tu
d
y
u
s
es
th
e
BI
s
y
s
tem
to
o
b
tain
in
f
o
r
m
atio
n
a
b
o
u
t
in
ter
n
et
s
p
ee
d
in
ea
ch
s
u
b
-
d
is
tr
ict
o
f
B
ek
asi
city
.
T
h
is
B
I
s
y
s
tem
will
later
b
e
s
u
p
p
o
r
ted
b
y
a
d
ash
b
o
ar
d
d
is
p
lay
th
at
d
is
p
lay
s
th
e
r
eq
u
ir
ed
in
f
o
r
m
atio
n
.
Fig
u
r
e
5
s
h
o
ws t
h
e
B
I
m
o
d
el
u
s
ed
in
th
e
r
esear
ch
co
n
d
u
cted
.
Prim
ar
y
d
ata
in
th
is
s
tu
d
y
c
o
n
s
is
ts
o
f
2
ty
p
es,
n
am
ely
i
n
ter
n
et
s
p
ee
d
d
ata
wh
e
n
u
p
l
o
ad
in
g
a
n
d
in
ter
n
et
s
p
ee
d
d
ata
wh
en
d
o
wn
lo
ad
in
g
.
T
h
e
d
ata
o
b
tain
ed
is
d
ata
tak
en
r
an
d
o
m
ly
f
r
o
m
s
ev
er
al
p
o
in
ts
in
ea
c
h
s
u
b
-
d
is
tr
ict
u
s
in
g
th
e
s
im
p
le
r
an
d
o
m
s
am
p
lin
g
m
eth
o
d
.
T
h
e
p
r
im
ar
y
d
ata
u
s
ed
h
as
s
ev
er
al
im
p
o
r
ta
n
t
attr
ib
u
tes th
at
will b
e
u
s
ed
,
n
a
m
ely
th
e
s
am
p
le
co
d
e,
s
u
b
-
d
is
tr
icts
,
p
r
o
v
id
er
1
(
P1
)
,
p
r
o
v
id
e
r
2
(
P2
)
,
p
r
o
v
id
er
3
(
P3
)
,
an
d
p
r
o
v
id
er
4
(
P4
)
.
All th
ese
attr
ib
u
tes will b
e
u
s
ed
f
o
r
b
o
th
u
p
lo
a
d
an
d
d
o
wn
l
o
ad
d
ata.
T
h
e
s
ec
o
n
d
ar
y
d
ata
th
at
will
b
e
u
s
ed
in
th
is
s
tu
d
y
co
n
s
is
ts
o
f
2
d
ata,
n
am
ely
d
ata
o
n
s
u
b
-
d
is
tr
icts
in
th
e
city
o
f
B
ek
asi
an
d
d
ata
o
n
u
r
b
an
s
u
b
-
d
is
tr
icts
in
th
e
city
o
f
B
ek
asi.
T
h
ese
d
ata
wer
e
o
b
tain
ed
b
y
s
cr
ap
i
n
g
web
s
ites
u
s
in
g
Py
th
o
n
.
T
h
e
tw
o
d
atasets
wer
e
o
b
tain
ed
f
r
o
m
d
if
f
er
en
t so
u
r
ce
s
,
n
am
ely
:
a.
Dis
tr
ict
d
ata
was o
b
tain
ed
f
r
o
m
h
ttp
s
://i
d
.
wik
ip
ed
ia.
o
r
g
.
Attr
ib
u
tes o
b
tain
ed
in
clu
d
e
t
h
e
M
in
is
tr
y
o
f
Ho
m
e
Af
f
air
s
co
d
e,
d
is
tr
ict,
n
u
m
b
er
o
f
s
u
b
-
d
is
tr
icts
,
an
d
a
lis
t o
f
s
u
b
-
d
is
tr
icts
.
b.
T
h
e
u
r
b
an
s
u
b
-
d
is
tr
ict
d
ata
f
o
r
th
e
city
o
f
B
ek
asi
was
o
b
ta
in
ed
f
r
o
m
h
ttp
s
://www.
in
f
o
ja
b
o
d
etab
e
k
.
co
m
.
T
h
e
attr
ib
u
tes
o
b
tain
e
d
f
r
o
m
t
h
e
d
ata
in
clu
d
e
s
u
b
-
d
is
tr
icts
an
d
s
u
b
-
d
is
tr
ict
co
d
es.
T
h
is
d
at
a
is
o
b
tain
ed
b
y
s
cr
ap
in
g
web
s
ites
u
s
in
g
Py
th
o
n
.
Fig
u
r
e
5
.
BI
m
o
d
el
s
y
s
tem
2
.
2
.
O
L
AP
des
ig
n
T
h
is
s
tu
d
y
u
s
es
OL
A
P
to
cr
ea
te
3
-
d
im
en
s
io
n
al
d
ata
to
m
ak
e
it
ea
s
ier
to
u
n
d
er
s
tan
d
.
T
h
e
th
r
ee
d
im
en
s
io
n
s
th
at
will
b
e
u
s
ed
ar
e
th
e
s
u
b
-
d
is
tr
ict
d
im
e
n
s
io
n
,
th
e
GSM
o
p
er
ato
r
d
im
en
s
io
n
,
an
d
t
h
e
s
am
p
le
d
im
en
s
io
n
f
o
r
m
ea
s
u
r
i
n
g
in
te
r
n
et
s
p
ee
d
.
T
h
e
f
in
al
r
esu
lt
o
f
th
e
OL
AP
u
s
ed
is
th
e
m
ed
ia
n
v
alu
e
o
f
in
ter
n
et
s
p
ee
d
m
ea
s
u
r
em
en
ts
in
th
e
f
ac
t u
p
lo
ad
ta
b
le
an
d
t
h
e
f
ac
t_
d
o
wn
lo
ad
tab
le.
2
.
3
.
Da
t
a
m
ini
ng
pro
ce
s
s
T
h
is
s
tu
d
y
u
s
es
th
e
K
-
m
ea
n
s
an
d
K
-
m
ed
o
id
s
m
eth
o
d
s
to
cl
u
s
ter
s
u
b
-
d
is
tr
icts
in
th
e
city
o
f
B
ek
asi
b
ased
o
n
in
ter
n
et
s
p
ee
d
in
f
o
r
m
atio
n
.
T
h
e
d
eter
m
in
atio
n
o
f
th
e
k
v
alu
e
o
r
th
e
n
u
m
b
er
o
f
clu
s
ter
s
u
s
ed
b
y
th
e
K
-
m
ea
n
s
an
d
K
-
m
e
d
o
id
s
m
et
h
o
d
s
is
b
ased
o
n
th
e
DB
I
v
al
u
e
f
o
r
ea
c
h
k
v
al
u
e,
s
tar
tin
g
f
r
o
m
=
2
to
=
6
[
3
2
]
.
T
h
e
in
ter
n
et
s
p
ee
d
v
alu
e
u
s
ed
is
th
e
m
ea
n
v
al
u
e
g
e
n
er
ated
at
t
h
e
OL
AP
d
esig
n
s
tag
e
f
o
r
b
o
th
u
p
lo
a
d
an
d
d
o
wn
l
o
ad
.
T
h
e
clu
s
ter
in
g
r
esu
lts
o
b
tain
ed
will
th
en
b
e
v
is
u
alize
d
to
g
eth
er
with
o
t
h
e
r
d
ata,
s
u
ch
as
th
e
n
am
e
o
f
t
h
e
d
is
tr
ict
an
d
th
e
n
a
m
e
o
f
th
e
s
u
b
-
d
is
tr
icts
.
2
.
4
.
Da
t
a
v
is
ua
liza
t
io
n
T
h
is
s
tag
e
d
is
p
lay
s
th
e
r
esu
lt
s
o
f
th
e
r
esear
ch
th
at
h
as
b
e
en
d
o
n
e,
n
am
ely
th
e
clu
s
ter
in
g
r
esu
lts
o
b
tain
ed
in
t
h
e
p
r
ev
io
u
s
s
tag
e
.
Vis
u
aliza
tio
n
is
m
a
d
e
u
s
in
g
Po
wer
B
I
b
ased
o
n
th
e
d
ata
war
eh
o
u
s
e
th
at
h
as
b
ee
n
cr
ea
ted
.
So
m
e
v
iews th
at
will a
p
p
ea
r
in
th
e
d
ata
v
is
u
ali
za
tio
n
th
at
will b
e
m
ad
e
i
n
th
i
s
s
tu
d
y
in
clu
d
e:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6
9
3
0
TEL
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
,
Vo
l.
24
,
No
.
2
,
Ap
r
il
20
26
:
7
3
7
-
7
5
0
742
a.
Ov
er
v
iew
p
ag
e:
c
o
n
tain
s
a
t
ab
le
o
f
c
o
n
ten
ts
an
d
th
e
in
iti
al
ap
p
ea
r
an
ce
o
f
t
h
e
d
ash
b
o
a
r
d
th
at
will
b
e
cr
ea
ted
.
b.
Data
u
p
lo
ad
p
ag
e:
c
o
n
tain
s
a
g
r
ap
h
ical
d
is
p
lay
o
f
in
ter
n
et
s
p
ee
d
d
ata
wh
en
m
ea
s
u
r
in
g
d
a
ta
u
p
lo
ad
s
.
T
h
e
d
ata
th
at
ap
p
ea
r
s
ca
n
b
e
f
ilter
e
d
u
s
in
g
th
e
f
ilter
in
g
o
p
er
ato
r
.
c.
Data
d
o
wn
lo
ad
p
ag
e:
co
n
tain
s
a
g
r
ap
h
ical
d
is
p
lay
o
f
in
ter
n
et
s
p
ee
d
d
ata
wh
en
m
ea
s
u
r
in
g
d
ata
d
o
wn
lo
ad
s
.
T
h
e
d
ata
th
at
ap
p
ea
r
s
ca
n
b
e
f
i
lter
ed
u
s
in
g
th
e
f
ilter
in
g
o
p
er
a
to
r
.
d.
Data
u
p
lo
ad
all
p
a
g
e:
co
n
tain
s
a
g
r
ap
h
ic
d
is
p
lay
o
f
d
ata
u
p
lo
ad
s
p
ee
d
f
o
r
all
p
r
o
v
id
er
s
s
tu
d
ied
.
e.
Data
d
o
wn
lo
ad
all
p
ag
e:
co
n
tain
s
a
g
r
ap
h
ic
d
is
p
lay
o
f
d
ata
d
o
wn
lo
ad
s
p
ee
d
f
o
r
all
p
r
o
v
id
er
s
s
tu
d
ied
.
f.
C
lu
s
ter
u
p
lo
ad
p
ag
e:
c
o
n
tain
s
a
d
is
p
lay
o
f
t
h
e
r
esu
lts
o
f
th
e
c
lu
s
ter
in
g
d
ata
u
p
lo
ad
ed
p
r
ev
i
o
u
s
ly
.
g.
C
lu
s
ter
d
o
wn
lo
ad
p
a
g
e:
co
n
tai
n
s
a
d
is
p
lay
o
f
t
h
e
r
esu
lts
o
f
cl
u
s
ter
in
g
d
ata
d
o
wn
lo
ad
e
d
p
r
e
v
io
u
s
ly
.
T
h
e
f
u
n
ctio
n
ality
test
is
ca
r
r
ied
o
u
t to
f
i
n
d
o
u
t w
h
eth
er
th
e
s
y
s
tem
cr
ea
ted
ca
n
r
u
n
p
r
o
p
er
l
y
.
T
h
is
test
u
s
es
th
e
b
lack
-
b
o
x
m
eth
o
d
to
s
ee
wh
eth
er
th
e
p
r
o
g
r
am
cr
e
ated
is
as
d
esire
d
with
o
u
t
lo
o
k
in
g
at
th
e
p
r
o
g
r
am
co
d
e
u
s
ed
[
2
9
]
.
T
h
e
v
alid
ity
t
est
ca
r
r
ied
o
u
t
aim
s
to
f
in
d
o
u
t
wh
eth
er
th
e
s
y
s
tem
c
r
ea
ted
is
to
th
e
wis
h
es
o
f
th
e
u
s
er
.
T
h
e
m
et
h
o
d
u
s
ed
to
test
th
e
v
alid
ity
o
f
th
is
r
esear
ch
is
th
e
c
o
n
ten
t
v
alid
ity
m
et
h
o
d
with
4
e
x
p
er
ts
.
T
h
e
v
alid
ity
test
u
s
in
g
co
n
te
n
t
v
alid
ity
was
u
s
ed
in
p
r
e
v
io
u
s
r
esear
ch
in
test
in
g
f
o
o
t
c
ar
e
in
s
tr
u
m
en
ts
f
o
r
p
eo
p
le
with
d
iab
etes
m
ellitu
s
(
DM
)
to
d
eter
m
in
e
th
e
t
r
ea
tm
en
t
th
at
is
im
p
o
r
tan
t
f
o
r
s
u
f
f
e
r
er
s
in
m
ain
tain
in
g
h
ea
lth
y
f
ee
t
[
3
3
]
.
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
3
.
1
.
Da
t
a
c
o
llect
io
n
T
h
is
s
tu
d
y
u
s
es
p
r
im
ar
y
an
d
s
ec
o
n
d
ar
y
d
ata.
Prim
a
r
y
d
at
a
was
o
b
tain
ed
b
y
m
ea
s
u
r
in
g
I
n
ter
n
e
t
ac
ce
s
s
s
p
ee
d
in
s
u
b
-
d
is
tr
icts
in
B
ek
asi
city
f
o
r
ea
ch
G
SM
p
r
o
v
id
er
,
in
clu
d
in
g
P1
,
P2
,
P3
,
an
d
P4
.
Me
asu
r
em
en
ts
wer
e
ca
r
r
ied
o
u
t
u
s
in
g
th
e
Simp
le
R
an
d
o
m
Sam
p
lin
g
m
eth
o
d
at
7
p
o
in
ts
f
o
r
ea
ch
s
u
b
-
d
is
tr
ict
b
o
th
f
o
r
u
p
lo
ad
s
p
ee
d
an
d
s
p
ee
d
wh
en
d
o
wn
lo
ad
i
n
g
d
ata
.
T
h
e
s
ec
o
n
d
a
r
y
d
ata
u
s
ed
i
n
th
is
s
tu
d
y
is
d
ata
o
n
s
u
b
-
d
is
tr
icts
an
d
s
u
b
-
d
is
tr
icts
in
th
e
city
o
f
B
ek
asi
alo
n
g
with
th
eir
u
n
i c
o
d
es.
T
h
is
d
ata
is
u
s
ed
to
co
m
p
lete
th
e
d
ata
v
is
u
aliza
tio
n
o
f
th
e
in
ter
n
et
s
p
ee
d
clu
s
ter
in
g
p
r
o
ce
s
s
th
at
is
b
ein
g
ca
r
r
ied
o
u
t.
I
n
f
o
r
m
atio
n
d
ata
ab
o
u
t
s
u
b
-
d
is
tr
icts
in
th
e
city
o
f
B
ek
asi
alo
n
g
with
s
u
b
-
d
is
tr
ict
co
d
es
wer
e
o
b
tain
ed
f
r
o
m
id
.
wik
ip
ed
ia.
o
r
g
.
T
h
e
r
esu
lts
o
f
th
e
s
cr
ap
p
in
g
p
r
o
ce
s
s
ca
r
r
ied
o
u
t
ca
n
b
e
s
ee
n
in
T
ab
le
1
.
T
h
e
n
ex
t seco
n
d
ar
y
d
ata
th
at
will b
e
u
s
ed
is
th
e
lis
t o
f
s
u
b
-
d
is
tr
icts
in
th
e
c
ity
o
f
B
ek
asi.
T
h
is
s
tu
d
y
to
o
k
s
u
b
-
d
is
tr
ict
d
ata
f
r
o
m
h
ttp
s
://www.
in
f
o
jab
o
d
etab
e
k
.
co
m
.
T
ab
le
1
.
T
h
e
r
esu
lts
o
f
s
cr
ap
in
g
th
e
lis
t o
f
d
is
tr
icts
in
th
e
city
o
f
B
ek
asi
K
e
m
e
n
d
a
g
r
i
c
o
d
e
D
i
st
r
i
c
t
s
N
o
.
o
f
s
u
b
-
d
i
s
t
r
i
c
t
s
S
u
b
-
d
i
s
t
r
i
c
t
s
3
2
.
7
5
.
0
2
B
e
k
a
s
i
B
a
r
a
t
5
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i
n
t
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r
a
B
i
n
t
a
r
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J
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y
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J
a
k
a
sam
p
u
r
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o
t
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a
r
u
K
r
a
n
j
i
3
2
.
7
5
.
0
4
B
e
k
a
s
i
S
e
l
a
t
a
n
5
Jak
a
mu
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a
k
a
se
t
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a
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r
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Ja
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P
e
k
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3
2
.
7
5
.
0
1
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e
k
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s
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T
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mu
r
4
A
r
e
n
J
a
y
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B
e
k
a
si
Ja
y
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D
u
r
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n
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M
a
r
g
a
h
a
y
u
3
2
.
7
5
.
0
3
B
e
k
a
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U
t
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r
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6
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a
r
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p
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n
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r
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e
n
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a
h
M
a
r
g
a
M
u
l
y
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P
e
r
w
i
r
a
T
e
l
u
k
P
u
c
u
n
g
3
2
.
7
5
.
0
9
Jat
i
a
si
h
6
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i
a
si
h
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a
t
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k
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t
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l
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h
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r
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Jat
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r
i
3
2
.
7
5
.
1
0
Jat
i
s
a
m
p
u
r
n
a
5
Jat
i
k
a
r
y
a
Ja
t
i
r
a
d
e
n
J
a
t
i
r
a
n
g
g
a
Ja
t
i
r
a
n
g
g
o
n
J
a
t
i
sam
p
u
r
n
a
3
.
2
.
E
T
L
pro
ce
s
s
T
h
is
r
esear
ch
g
o
es
th
r
o
u
g
h
th
e
E
T
L
s
tag
e
to
ca
r
r
y
o
u
t
th
e
p
r
o
ce
s
s
o
f
ex
tr
ac
tio
n
,
tr
an
s
f
o
r
m
atio
n
,
an
d
en
ter
in
g
d
ata
in
to
th
e
d
atab
ase
s
o
th
at
it
co
n
tain
s
d
im
en
s
io
n
tab
les
an
d
f
ac
t
tab
les
th
at
will
b
e
u
s
ed
.
T
h
e
E
T
L
p
r
o
ce
s
s
in
th
is
s
tu
d
y
was
ca
r
r
ied
o
u
t
with
th
e
h
el
p
o
f
th
e
Pe
n
tah
o
ap
p
licatio
n
.
T
h
is
r
esear
ch
r
eq
u
ir
es
s
ev
er
al
d
im
en
s
io
n
tab
les
to
f
o
r
m
th
e
r
eq
u
ir
ed
d
ata
war
eh
o
u
s
e,
in
clu
d
in
g
d
is
tr
ict
d
im
en
s
io
n
ta
b
les
(
d
im
_
d
is
tr
icts
)
,
s
u
b
-
d
is
tr
icts
d
im
en
s
io
n
tab
les
(
d
im
_
s
u
b
_
d
is
tr
icts
)
,
u
p
lo
a
d
d
im
en
s
io
n
tab
les
(
d
im
_
u
p
lo
ad
)
,
an
d
d
o
wn
lo
a
d
d
im
en
s
io
n
tab
les (
d
im
_
d
o
wn
l
o
ad
)
.
T
h
e
d
im
_
s
u
b
_
d
is
tr
icts
tab
le
is
g
en
er
ated
b
y
ca
r
r
y
in
g
o
u
t
th
e
E
T
L
p
r
o
ce
s
s
o
n
th
e
s
u
b
_
d
is
tr
icts
d
ata
o
b
tain
ed
t
h
r
o
u
g
h
th
e
d
ata
s
cr
ap
p
in
g
p
r
o
c
ess
.
T
h
e
s
u
b
-
d
is
tr
ict
d
ata
o
b
tain
e
d
co
n
s
is
ts
o
f
s
ev
er
al
attr
ib
u
tes,
n
am
ely
th
e
Kem
e
n
d
ag
r
i
co
d
e,
s
u
b
-
d
is
tr
ict,
n
u
m
b
er
o
f
s
u
b
-
d
is
tr
icts
,
an
d
lis
t
o
f
s
u
b
-
d
is
tr
icts
.
Fig
u
r
e
6
s
h
o
ws
th
e
E
T
L
p
r
o
ce
s
s
ca
r
r
ied
o
u
t u
s
in
g
Pen
tah
o
.
T
h
e
n
ex
t
tab
le
th
at
will
b
e
c
r
ea
ted
is
th
e
d
im
_
s
u
b
_
d
is
tr
icts
tab
le
wh
ich
is
a
d
im
e
n
s
io
n
tab
le
f
o
r
in
f
o
r
m
atio
n
a
b
o
u
t
th
e
ex
is
tin
g
s
u
b
_
d
is
tr
icts
in
th
e
city
o
f
B
ek
asi.
E
T
L
p
r
o
ce
s
s
to
g
en
e
r
ate
th
is
d
im
e
n
s
io
n
tab
le
is
s
h
o
wn
in
Fig
u
r
e
7
.
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l Co
n
tr
o
l
B
u
s
in
ess
in
tellig
en
ce
fo
r
mea
s
u
r
in
g
g
lo
b
a
l sys
tems fo
r
mo
b
il
e
co
mmu
n
ica
tio
n
…
(
Yu
s
r
i E
li Ho
tma
n
Tu
r
n
ip
)
743
Fig
u
r
e
6
.
E
T
L
p
r
o
ce
s
s
o
n
th
e
d
im
_
d
is
tr
icts
tab
le
Fig
u
r
e
7
.
E
T
L
p
r
o
ce
s
s
o
n
th
e
d
im
_
s
u
b
-
d
is
tr
icts
tab
le
T
h
is
s
tu
d
y
u
s
es two
f
ac
t ta
b
les
b
ased
o
n
th
e
p
r
im
a
r
y
d
ata
o
b
t
ain
ed
,
n
am
ely
th
e
f
ac
t_
u
p
l
o
ad
tab
le
an
d
th
e
f
ac
t_
d
o
w
n
lo
ad
tab
le.
Fig
u
r
e
8
s
h
o
ws
th
e
p
r
o
ce
s
s
o
f
c
r
ea
tin
g
a
f
ac
t
tab
le
f
o
r
b
o
th
t
h
e
d
ata
war
eh
o
u
s
e
u
p
lo
ad
s
p
ee
d
a
n
d
d
o
wn
l
o
ad
s
p
ee
d
.
Fr
o
m
th
e
Fig
u
r
e
8
,
it
ca
n
b
e
s
ee
n
th
at
th
e
two
f
ac
t
tab
les
u
s
e
th
e
d
im
en
s
io
n
tab
les
d
im
_
s
u
b
_
d
is
tr
icts
an
d
d
im
_
d
is
tr
icts
to
f
o
r
m
th
e
two
f
ac
t
tab
les.
T
h
e
d
if
f
er
en
ce
b
etwe
en
th
e
two
f
ac
t
tab
les
l
ies
in
th
e
in
ter
n
et
s
p
ee
d
d
ata
u
s
ed
d
ep
en
d
in
g
o
n
th
e
f
ac
t
tab
le
to
b
e
cr
ea
ted
.
T
h
e
o
u
tp
u
t
r
esu
lts
o
n
t
h
e
two
f
ac
t
tab
l
es
ar
e
th
e
attr
ib
u
tes
Ko
d
e_
Su
b
_
d
is
tr
icts
,
Ko
d
e_
Dis
tr
icts
,
Ko
d
e
_
T
ak
e_
Data
C
o
llectio
n
,
Pro
v
id
e
r
,
a
n
d
Up
lo
ad
_
Sp
ee
d
f
o
r
th
e
f
ac
t
_
u
p
lo
a
d
tab
le
an
d
Do
wn
lo
ad
_
Sp
ee
d
f
o
r
th
e
f
ac
t_
d
o
wn
lo
a
d
tab
le.
Fig
u
r
e
8
.
T
h
e
p
r
o
ce
s
s
o
f
f
o
r
m
i
n
g
a
f
ac
t ta
b
le
3
.
3
.
Da
t
a
wa
re
ho
us
e
des
ig
n
T
h
e
f
ir
s
t
s
tep
in
p
r
e
p
ar
in
g
th
e
r
eq
u
ir
ed
d
ata
war
eh
o
u
s
e
is
to
m
ak
e
a
g
r
ain
d
ec
lar
atio
n
w
h
ich
will
b
e
th
e
b
asis
f
o
r
d
eter
m
in
in
g
th
e
d
im
en
s
io
n
tab
les an
d
f
ac
t ta
b
le
s
th
at
will b
e
cr
ea
ted
.
T
ab
le
2
s
h
o
ws th
e
s
elec
tio
n
o
f
g
r
ain
s
r
elate
d
to
d
ete
r
m
in
in
g
th
e
in
f
o
r
m
atio
n
th
at
will
ap
p
ea
r
in
th
e
f
ac
t
tab
le.
I
n
th
is
T
ab
le
2
,
it
is
d
eter
m
in
ed
th
at
th
e
f
ac
t
tab
le
th
at
will
b
e
m
ad
e
is
in
f
o
r
m
a
tio
n
ab
o
u
t
in
ter
n
et
u
p
lo
ad
an
d
d
o
w
n
lo
ad
s
p
ee
d
s
f
r
o
m
ea
ch
p
r
o
v
id
er
.
T
h
e
d
ata
war
eh
o
u
s
e
th
at
will
b
e
cr
ea
t
ed
in
th
is
s
tu
d
y
u
s
es
a
s
tar
s
c
h
em
a
co
n
s
is
tin
g
o
f
d
im
en
s
io
n
tab
les
f
o
r
d
im
_
d
is
tr
icts
an
d
d
im
s
u
b
_
d
is
tr
icts
,
as
well
as
f
ac
t
tab
les
f
o
r
u
p
l
o
ad
an
d
d
o
wn
lo
a
d
s
p
ee
d
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6
9
3
0
TEL
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
,
Vo
l.
24
,
No
.
2
,
Ap
r
il
20
26
:
7
3
7
-
7
5
0
744
T
ab
le
2
.
T
a
b
le
g
r
ain
i
n
th
e
f
o
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with
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ased
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m
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id
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f
=
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5
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h
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ter
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f
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b
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d
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tr
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f
o
r
b
o
o
th
u
p
lo
ad
an
d
d
o
wn
lo
a
d
d
ata.
Evaluation Warning : The document was created with Spire.PDF for Python.
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