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e
e
f
f
icien
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SP
in
s
er
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m
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t
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an
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n
ter
ac
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p
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Qo
S
[
1
0
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.
B
esid
es
t
h
at
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h
e
Qo
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m
etr
ic
also
p
la
y
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m
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ati
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[
1
1
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ased
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[
1
2
]
th
e
o
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al
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ter
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p
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s
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h
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m
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Fro
m
t
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[5
]
,
[
13]
,
it
is
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o
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n
d
th
at
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tili
t
y
f
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n
ct
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n
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a
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d
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id
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ce
m
a
x
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m
u
m
p
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o
f
it
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o
r
I
SP
w
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th
f
lat
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ee
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icin
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s
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h
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l
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o
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b
a
s
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th
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n
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u
c
ted
[
1
4
]
o
n
th
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m
o
d
el
s
ap
p
licatio
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f
ea
c
h
tr
af
f
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t
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at
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tili
t
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f
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n
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ca
n
r
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lt
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o
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c
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m
e
I
n
g
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er
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th
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m
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s
t
s
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ed
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s
ted
to
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w
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if
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er
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n
ce
s
o
f
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ts
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u
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to
t
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itio
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o
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th
e
n
u
m
b
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o
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ce
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.
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th
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t
o
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m
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g
is
t
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o
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t
in
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o
m
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ito
r
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d
co
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l
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ac
ti
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s
ca
r
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o
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t
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th
e
a
g
e
n
c
y
in
m
an
a
g
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n
g
co
m
p
a
n
y
.
I
n
f
ac
t,
t
h
e
m
ar
g
in
a
l
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s
t
a
n
d
t
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t
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id
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ter
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v
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p
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v
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m
ax
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m
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p
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its
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h
e
m
ai
n
co
n
tr
ib
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tio
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o
f
th
is
p
ap
er
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th
en
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s
to
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o
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m
u
late
th
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p
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g
s
c
h
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m
e
b
ased
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u
t
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l
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en
tiall
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teg
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li
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p
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a
m
m
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s
to
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th
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n
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o
lv
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g
p
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s
c
h
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m
e
w
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h
m
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ito
r
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co
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t
a
n
d
th
e
m
ar
g
i
n
al
co
s
t b
ased
o
n
b
an
d
w
id
th
u
tili
t
y
f
u
n
ctio
n
f
o
r
in
f
o
r
m
at
io
n
s
er
v
ices a
s
t
h
e
o
p
ti
m
izatio
n
p
r
o
b
lem
.
2.
RE
S
E
ARCH
M
E
T
H
O
D
Step
s
co
n
d
u
cted
i
n
th
i
s
r
esear
ch
ar
e
as f
o
llo
w
s
:
a.
C
o
n
d
u
ct
d
ata
p
r
o
ce
s
s
in
g
t
h
at
in
clu
d
es
t
h
e
d
ig
i
lib
tr
af
f
ic
an
d
m
ail
tr
a
f
f
ic
d
ata,
w
h
ich
d
iv
id
ed
in
to
t
w
o
ca
teg
o
r
ies,
b
ased
o
n
th
e
u
s
e
d
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in
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p
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k
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th
e
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s
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h
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r
s
a
n
d
d
ef
in
e
th
e
p
ar
a
m
eter
s
u
s
ed
.
b.
Dete
r
m
i
n
e
t
h
e
i
n
f
o
r
m
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n
s
e
r
v
ice
p
r
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g
s
c
h
e
m
e
m
o
d
el
s
ac
co
r
d
in
g
to
b
an
d
w
id
th
u
ti
lit
y
f
u
n
ctio
n
s
w
i
th
f
lat
f
ee
,
u
s
a
g
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-
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ased
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d
an
t
w
o
-
p
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t ta
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if
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p
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s
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m
e
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o
m
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g
en
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u
s
an
d
h
eter
o
g
en
e
o
u
s
co
n
s
u
m
er
s
.
1.
Fo
r
f
lat
f
ee
p
r
icin
g
s
c
h
e
m
e,
,
an
d
P
ad
alah
is
p
o
s
iti
v
e.
2.
Fo
r
u
s
ag
e
-
b
ased
s
c
h
e
m
e,
an
d
ar
e
p
o
s
itiv
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an
d
P
=
0
.
3.
Fo
r
t
w
o
-
p
ar
t ta
r
i
f
f
s
ch
e
m
e,
P,
an
d
ar
e
p
o
s
itiv
e.
c.
Fo
r
m
u
la
te
b
an
d
w
id
t
h
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tili
t
y
f
u
n
ctio
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ac
co
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d
in
g
to
f
la
t
f
e
e,
u
s
a
g
e
-
b
a
s
ed
,
an
d
t
w
o
-
p
ar
t
tar
if
f
p
r
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s
ch
e
m
es
f
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h
o
m
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n
eo
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s
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h
eter
o
g
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s
co
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s
u
m
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s
w
it
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p
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g
atte
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tio
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to
m
ar
g
i
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an
d
m
o
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co
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.
d.
A
p
p
l
y
t
h
e
o
p
ti
m
al
p
r
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g
s
c
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m
e
o
f
lo
ca
l
d
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s
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v
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f
d
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an
d
m
ai
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tr
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f
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d
ata
an
d
s
o
lv
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th
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lt
b
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L
I
NG
O
1
3
.
0
th
en
co
m
p
ar
e
th
e
p
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g
s
c
h
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m
e
m
o
d
els to
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ch
u
ti
lit
y
f
u
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f
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r
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co
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s
u
m
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s
.
e.
C
o
n
cl
u
d
e
an
d
o
b
tain
th
e
b
est
s
o
lu
tio
n
o
f
i
n
f
o
r
m
atio
n
s
er
v
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p
r
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g
s
c
h
e
m
e.
3.
RE
SU
L
T
S AN
D
AN
AL
Y
SI
S
T
h
is
s
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tio
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d
is
c
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s
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n
a
m
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y
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d
w
id
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f
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n
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n
.
T
h
e
o
p
tim
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p
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o
b
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s
ar
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d
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id
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in
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wo
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w
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ar
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co
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s
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m
er
a
n
d
p
r
o
v
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p
r
o
b
lem
s
.
a)
Op
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m
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n
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f
co
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(
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r
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T
ab
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3
.
P
ar
am
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s
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o
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C
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s
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m
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s
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ti
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n
P
r
o
b
le
m
S
y
mb
o
l
M
e
a
n
i
n
g
:
T
h
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.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
:
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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p
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g
I
SS
N:
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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h
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n
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o
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5
8
0
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6
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8
8
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3
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9
0
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s
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o
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p
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d
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8
3
.
5
0
8
2
4.
CO
NCLU
SI
O
N
B
ased
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n
th
e
o
p
tim
izatio
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esu
lt
o
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ter
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t
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tio
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tio
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o
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tain
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s
i
n
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er
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h
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m
e
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iff
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ch
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er
v
ices
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f
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er
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if
w
e
co
m
p
ar
ed
w
ith
fla
t
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fee
p
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icin
g
s
c
h
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m
e.
I
t is th
e
b
est
w
a
y
f
o
r
p
r
o
v
id
er
to
o
f
f
e
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et
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s
ag
e
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as
ed
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ici
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ch
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e.
ACK
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M
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T
h
e
r
esear
ch
lead
in
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th
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s
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t
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s
f
i
n
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n
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u
p
p
o
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ted
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y
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w
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y
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n
iv
er
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it
y
f
o
r
s
u
p
p
o
r
t
th
r
o
u
g
h
Hib
ah
P
NB
P
Un
g
g
u
lan
Ko
m
p
etitif
U
n
i
v
er
s
ita
s
Sri
w
ij
a
y
a
T
ah
u
n
2
0
1
7
.
RE
F
E
R
E
NC
E
S
[
1]
T
jah
jan
to
,
B.
S
it
o
h
a
n
g
,
a
n
d
S
.
K.
W
ir
y
o
n
o
,
"
S
im
u
latio
n
a
n
d
Im
p
le
m
e
n
tatio
n
M
o
d
e
l
o
f
P
ro
d
u
c
ti
v
it
y
M
e
a
su
re
m
e
n
t
In
tern
e
t
Ba
n
d
w
id
th
Us
a
g
e
,
"
T
EL
KOM
NIKA
T
e
lec
o
mm
u
n
ica
ti
o
n
Co
mp
u
t
in
g
El
e
c
tro
n
ics
a
n
d
Co
n
t
ro
l
,
Vo
l.
13
issu
e
3
,
p
p
.
1
0
6
9
-
1
0
7
8
,
2
0
1
5
.
[2
]
Cu
re
sc
u
,
C.
,
"
Util
it
y
-
b
a
s
e
d
Op
ti
m
is
a
ti
o
n
o
f
Re
so
u
rc
e
A
ll
o
c
a
ti
o
n
fo
r
W
irele
ss
Ne
t
w
o
rk
s,
in
De
p
a
rtme
n
t
o
f
Co
m
p
u
ter
a
n
d
In
f
o
rm
a
ti
o
n
S
c
ien
c
e
"
,
L
i
n
k
ö
p
in
g
s
u
n
ive
rs
it
e
t:
L
i
n
k
ö
p
in
g
.
p
.
1
7
8
,
2
0
0
5
.
[3
]
Ya
n
g
,
W
.
,
"
P
ricin
g
Ne
t
w
o
rk
R
e
s
o
u
rc
e
s
in
Diff
e
r
e
n
ti
a
ted
S
e
rv
ice
Ne
tw
o
rk
s,
"
in
S
c
h
o
o
l
o
f
e
lec
trica
l
a
n
d
Co
mp
u
ter
En
g
i
n
e
e
rin
g
,
P
h
d
T
h
e
sis.
G
e
o
rg
ia
In
stit
u
te o
f
T
e
c
h
n
o
lo
g
y
.
p
.
1
-
1
1
1
,
2
0
0
4
.
[4
]
Ya
n
g
,
W
.
,
H.L
.
Ow
e
n
,
a
n
d
D
.
M
.
Bl
o
u
g
h
.
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De
ter
m
in
in
g
Dif
fe
re
n
ti
a
ted
S
e
rv
ice
s
Ne
tw
o
rk
P
ricin
g
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h
ro
u
g
h
A
u
c
ti
o
n
s
,
"
in
Ne
two
rk
in
g
-
ICN
2
0
0
5
,
4
t
h
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n
ter
n
a
ti
o
n
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l
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n
fer
e
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e
o
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g
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p
ril
2
0
0
5
Pro
c
e
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d
in
g
s,
Pa
rt
I
.
Re
u
n
io
n
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n
d
,
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ra
n
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e
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p
ri
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r
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e
rlag
Be
rli
n
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id
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l
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e
rg
,
2
0
0
5
.
[5
]
S
it
e
p
u
,
R.
,
P
u
sp
i
ta,
F
.
M
.
,
P
ra
ti
w
i,
A
.
N.,
a
n
d
No
v
y
a
sti,
I.
P
.
,
"
Util
it
y
f
u
n
c
ti
o
n
-
b
a
se
d
p
rici
n
g
stra
teg
ie
s
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x
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m
izin
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e
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f
o
r
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ti
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se
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e
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ro
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e
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h
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rg
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n
a
l
a
n
d
m
o
n
it
o
rin
g
Co
sts
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In
ter
n
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
El
e
c
trica
l
a
n
d
C
o
mp
u
ter
En
g
in
e
e
rin
g
(
IJ
ECE
)
,
Vo
l.
7
No
.
2
,
p
p
.
877
-
8
8
7
,
2
0
1
7
.
[6
]
W
u
,
S
.
-
y
.
a
n
d
R.
D.
Ba
n
k
e
r,
"
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e
st
P
ricin
g
S
t
ra
teg
y
f
o
r
In
f
o
r
m
a
ti
o
n
S
e
rv
ice
s,"
J
o
u
rn
a
l
o
f
t
h
e
Asso
c
ia
ti
o
n
fo
r
In
fo
rm
a
t
io
n
S
y
ste
ms
,
V
o
l
.
11
Iss
u
e
6
,
p
p
.
3
3
9
-
3
6
6
,
2
0
1
0
.
[7
]
Ya
n
g
,
W
.
,
H.
O
we
n
,
a
n
d
D.M
.
Blo
u
g
h
.
"
A
Co
m
p
a
riso
n
o
f
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u
c
ti
o
n
a
n
d
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lat
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rici
n
g
f
o
r
Di
ff
e
re
n
ti
a
ted
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e
rv
ice
Ne
tw
o
rk
s
,
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in
Pro
c
e
e
d
in
g
s
o
f
th
e
IEE
E
In
ter
n
a
ti
o
n
a
l
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o
n
fer
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n
c
e
o
n
Co
mm
u
n
ica
t
io
n
s
.
2
0
0
4
.
[8
]
Ba
n
d
u
n
g
,
Y.
a
n
d
I.
S
u
m
a
rd
i,
"
A
M
e
th
o
d
o
lo
g
y
f
o
r
Ch
a
ra
c
teriz
i
n
g
Re
a
l
-
T
i
m
e
M
u
lt
ime
d
ia
Qu
a
li
ty
o
f
S
e
r
v
ice
in
L
i
m
it
e
d
Ba
n
d
w
id
th
Ne
tw
o
rk
,
"
T
EL
KOM
NIKA
T
e
lec
o
mm
u
n
ica
ti
o
n
Co
mp
u
ti
n
g
El
e
c
tro
n
ics
a
n
d
C
o
n
tro
l
,
Vo
lu
m
e
14
is
su
e
4
:
p
p
.
1
5
3
4
-
1
5
4
4
,
2
0
1
6
.
[9
]
S
a
tri
a
,
M
.
H.,
J.
b
.
Yu
n
u
s,
a
n
d
E.
S
u
p
riy
a
n
to
,
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8
0
2
.
1
1
s
Qo
S
R
o
u
ti
n
g
f
o
r
T
e
le
m
e
d
icin
e
S
e
rv
ic
e
,
"
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
El
e
c
trica
l
a
n
d
C
o
mp
u
t
e
r E
n
g
i
n
e
e
rin
g
(
IJ
ECE
)
,
V
o
l
u
m
e
4
Iss
u
e
2
:
p
p
.
2
6
5
-
2
7
7
,
2
0
1
4
.
[1
0
]
Ba
rth
,
D.,
De
sc
h
in
k
e
l,
K.,
Dia
ll
o
,
M
.
,
a
n
d
Ech
a
b
b
i,
L
.
,
"
P
r
icin
g
,
Qo
S
a
n
d
Util
it
y
m
o
d
e
ls
f
o
r
th
e
In
tern
e
t
,
"
2
0
0
4
,
Ra
p
p
o
rt
d
e
re
c
h
e
rc
h
e
i
n
tern
e
#
2
0
0
4
/
6
0
,
L
a
b
o
ra
to
ire
P
r
ism
.
[1
1
]
P
a
n
im
o
z
h
i,
K.
a
n
d
G
.
M
a
h
a
d
e
v
a
n
,
"
Qo
S
F
ra
m
e
w
o
rk
f
o
r
a
M
u
lt
i
-
sta
c
k
b
a
se
d
H
e
tero
g
e
n
e
o
u
s
W
irele
ss
S
e
n
so
r
Ne
tw
o
rk
,"
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
El
e
c
trica
l
a
n
d
C
o
mp
u
ter
En
g
in
e
e
rin
g
(
IJ
ECE
)
,
Vo
lu
m
e
7
Iss
u
e
5
:
p
p
.
2
7
1
3
-
2
7
2
0
,
2
0
1
7
.
[1
2
]
In
d
ra
w
a
ti
,
Ir
m
e
il
y
a
n
a
,
P
u
sp
it
a
,
F
.
M
.
,
a
n
d
L
e
sta
ri,
M
.
P
.
,
"
Co
b
b
-
Do
u
g
las
s
Util
it
y
F
u
n
c
ti
o
n
in
Op
ti
m
izin
g
th
e
In
tern
e
t
P
rici
n
g
S
c
h
e
m
e
M
o
d
e
l
,"
T
EL
KOM
NIKA
T
e
lec
o
mm
u
n
ica
t
io
n
C
o
mp
u
ti
n
g
El
e
c
tro
n
ics
a
n
d
Co
n
tro
l
,
V
o
l
u
m
e
12
Iss
u
e
1
,
p
p
2
2
7
–
2
4
0
,
2
0
1
4
.
[1
3
]
S
it
e
p
u
,
R.
,
F
.
M
.
P
u
s
p
it
a
,
a
n
d
S
.
A
p
ril
iy
a
n
i,
"
Util
it
y
F
u
n
c
ti
o
n
-
Ba
se
d
M
ix
e
d
In
teg
e
r
No
n
li
n
e
a
r
P
ro
g
ra
m
m
in
g
(M
INL
P
)
P
ro
b
lem
M
o
d
e
l
o
f
In
f
o
rm
a
ti
o
n
S
e
rv
ice
P
ricin
g
S
c
h
e
m
e
s
,
"
in
IEE
E
-
4
th
In
ter
n
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
Da
ta
a
n
d
S
o
ft
w
a
re
En
g
in
e
e
rin
g
,
P
a
lem
b
a
n
g
,
In
d
o
n
e
si
a
.
2
0
1
7
:
P
a
lem
b
a
n
g
.
[1
4
]
P
u
sp
it
a
,
F
.
M
.
a
n
d
M
.
Ok
tary
n
a
,
"
Im
p
ro
v
e
d
Bu
n
d
le
P
ricin
g
M
o
d
e
l
On
W
irele
ss
In
tern
e
t
P
ricin
g
S
c
h
e
m
e
In
S
e
rv
in
g
M
u
lt
i
p
le
Qo
s
Ne
tw
o
rk
Ba
se
d
O
n
Qu
a
si
-
L
in
e
a
r
Util
it
y
F
u
n
c
ti
o
n
,
"
in
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
El
e
c
trica
l
a
n
d
Co
mp
u
ter
E
n
g
in
e
e
rin
g
,
IEE
E
Xp
l
o
re
,
S
riwj
a
y
a
Un
ive
rs
it
y
,
Pa
lem
b
a
n
g
.
2
0
1
7
:
S
riw
ja
y
a
Un
iv
e
rsit
y
.
[1
5
]
Hu
tch
in
s
o
n
,
E.
,
Eco
n
o
mic
s
.
2
0
1
1
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2088
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
9
,
No
.
2
,
A
p
r
il 2
0
1
9
:
1
2
4
0
-
1
2
4
8
1248
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e
d
h
is
Ba
c
h
e
lo
r
o
f
S
c
ien
c
e
in
S
tatisti
c
s
f
ro
m
P
a
d
jaja
ra
n
U
n
iv
e
rsity
,
W
e
ste
rn
J
a
v
a
,
In
d
o
n
e
sia
.
T
h
e
n
h
e
re
c
e
iv
e
d
h
is
M
.
S
i
in
M
a
t
h
e
m
a
ti
c
s
f
ro
m
Un
iv
e
r
sit
y
o
f
No
rth
S
u
m
a
tera
.
H
e
h
a
s
b
e
e
n
a
M
a
th
e
m
a
ti
c
s
De
p
a
rt
m
e
n
t
m
e
m
b
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r
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t
F
a
c
u
lt
y
o
f
m
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th
e
m
a
ti
c
s
a
n
d
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tu
ra
l
S
c
ien
c
e
s
S
riw
ij
a
y
a
Un
iv
e
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y
S
o
u
th
S
u
m
a
tera
In
d
o
n
e
sia
sin
c
e
1
9
8
5
.
His
re
se
a
rc
h
i
n
tere
sts
in
c
l
u
d
e
o
p
e
ra
ti
o
n
re
se
a
rc
h
a
n
d
it
s ap
p
li
c
a
ti
o
n
s a
n
d
sta
ti
stics
.
Fi
tr
i
M
a
y
a
Pu
sp
ita
r
e
c
e
i
v
e
d
h
e
r
S
.
S
i
d
e
g
re
e
in
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a
th
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m
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ti
c
s
f
r
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m
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riw
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a
y
a
Un
iv
e
rsit
y
,
S
o
u
th
S
u
m
a
tera
,
In
d
o
n
e
sia
in
1
9
9
7
.
T
h
e
n
sh
e
re
c
e
iv
e
d
h
e
r
M
.
S
c
.
in
M
a
th
e
m
a
ti
c
s
f
ro
m
Cu
rti
n
Un
iv
e
rsit
y
o
f
Tec
h
n
o
lo
g
y
(CU
T
)
W
e
ste
rn
A
u
stra
li
a
in
2
0
0
4
.
S
h
e
re
c
e
iv
e
d
h
e
r
P
h
.
D.
i
n
S
c
ien
c
e
a
n
d
T
e
c
h
n
o
lo
g
y
in
2
0
1
5
f
ro
m
Un
i
v
e
rsiti
S
a
in
s
Isla
m
M
a
la
y
sia
.
S
h
e
h
a
s
b
e
e
n
a
M
a
th
e
m
a
ti
c
s
De
p
a
rtme
n
t
m
e
m
b
e
r
a
t
F
a
c
u
lt
y
o
f
m
a
th
e
m
a
ti
c
s
a
n
d
Na
tu
ra
l
S
c
ien
c
e
s
S
riw
ij
a
y
a
Un
iv
e
rsit
y
S
o
u
th
S
u
m
a
tera
In
d
o
n
e
sia
sin
c
e
1
9
9
8
.
He
r
re
se
a
r
c
h
in
tere
sts
in
c
lu
d
e
o
p
ti
m
iza
ti
o
n
a
n
d
it
s
a
p
p
li
c
a
ti
o
n
s
su
c
h
a
s v
e
h
icle
ro
u
t
in
g
p
r
o
b
lem
s
a
n
d
Qo
S
p
rici
n
g
a
n
d
c
h
a
rg
in
g
in
t
h
ird
g
e
n
e
ra
ti
o
n
i
n
tern
e
t
.
Eli
k
a
re
c
e
i
v
e
d
h
e
r
S
.
P
d
d
e
g
re
e
in
M
a
th
e
m
a
ti
c
s
Ed
u
c
a
ti
o
n
f
ro
m
S
ri
w
ij
a
y
a
Un
iv
e
r
sit
y
,
S
o
u
t
h
S
u
m
a
tera
,
In
d
o
n
e
sia
i
n
2
0
1
0
.
T
h
e
n
sh
e
a
lso
re
c
e
iv
e
d
h
e
r
M
.
P
d
i
n
M
a
th
e
m
a
ti
c
s
Ed
u
c
a
ti
o
n
f
ro
m
S
riw
ij
a
y
a
U
n
iv
e
rsit
y
,
S
o
u
th
S
u
m
a
tera
,
In
d
o
n
e
sia
in
2
0
1
3
.
S
h
e
h
a
s
b
e
e
n
a
M
a
th
e
m
a
ti
c
s
Ed
u
c
a
ti
o
n
S
tu
d
y
P
ro
g
ra
m
m
e
m
b
e
r
a
t
F
a
c
u
lt
y
o
f
Ed
u
c
a
ti
o
n
a
n
d
T
e
a
c
h
e
r
T
ra
i
n
in
g
S
riw
ij
a
y
a
Un
iv
e
rsit
y
S
o
u
th
S
u
m
a
tera
In
d
o
n
e
sia
sin
c
e
2
0
1
4
.
He
r
re
s
e
a
rc
h
in
tere
sts
in
c
lu
d
e
m
a
th
e
m
a
ti
c
s
e
d
u
c
a
t
io
n
a
n
d
it
s
a
p
p
li
c
a
ti
o
n
s es
p
e
c
ially
in
re
a
li
stic m
a
th
e
m
a
ti
c
s.
Yun
ita
re
c
e
iv
e
d
h
e
r
S
.
S
i
d
e
g
re
e
in
M
a
th
e
m
a
ti
c
s
f
ro
m
S
ri
w
ij
a
y
a
Un
iv
e
rsit
y
,
S
o
u
t
h
S
u
m
a
tera
,
In
d
o
n
e
sia
in
2
0
0
6
.
T
h
e
n
sh
e
re
c
e
iv
e
d
h
e
r
M
.
Cs
in
M
a
th
e
m
a
ti
c
s
f
ro
m
Ga
d
jah
M
a
ta
Un
iv
e
rsit
y
,
Yo
g
y
a
k
a
r
ta
in
2
0
1
2
.
S
h
e
h
a
s
b
e
e
n
a
n
In
f
o
rm
a
ti
c
s
En
g
in
e
e
rin
g
De
p
a
rtm
e
n
t
m
e
m
b
e
r
a
t
F
a
c
u
lt
y
o
f
Co
m
p
u
ter
S
c
ien
c
e
,
S
riw
ij
a
y
a
U
n
iv
e
rsity
S
o
u
th
S
u
m
a
tera
In
d
o
n
e
sia
sin
c
e
2
0
1
5
.
He
r
re
se
a
rc
h
in
tere
sts in
c
lu
d
e
a
rti
f
icia
l
in
telli
g
e
n
c
e
a
n
d
it
s ap
p
li
c
a
ti
o
n
.
S
h
in
ty
a
A
p
r
il
i
y
a
n
i
is
c
u
rre
n
tl
y
i
s
a
n
u
n
d
e
rg
ra
d
u
a
te
stu
d
e
n
t
a
t
M
a
th
e
m
a
ti
c
s
De
p
a
rt
m
e
n
t,
F
a
c
u
lt
y
o
f
M
a
th
e
m
a
ti
c
s
a
n
d
Na
tu
ra
l
S
c
ien
c
e
s,
S
riw
ij
a
y
a
Un
iv
e
r
sit
y
.
S
h
e
is
c
u
rre
n
tl
y
o
n
f
in
a
l
sta
g
e
o
f
h
e
r
th
e
sis
su
b
m
issio
n
.
He
r
to
p
ic
in
t
e
re
st
in
c
lu
d
e
s
Op
ti
m
iza
ti
o
n
a
n
d
it
s
a
p
p
li
c
a
ti
o
n
o
n
p
ricin
g
o
f
in
f
o
rm
a
ti
o
n
se
rv
ice
w
it
h
m
a
rg
in
a
l
a
n
d
m
o
n
it
o
rin
g
c
o
st
.
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