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T
b
r
o
k
er
s
.
Azz
ed
in
an
d
Alh
az
m
i
[
8
]
p
r
o
p
o
s
ed
a
s
ec
u
r
e
d
ata
d
is
tr
ib
u
tio
n
ar
ch
itectu
r
e
u
s
in
g
MQ
T
T
b
r
o
k
er
s
.
T
h
is
wo
r
k
aim
e
d
to
im
p
r
o
v
e
th
e
ar
ch
itectu
r
e
’
s
p
er
f
o
r
m
an
ce
,
s
u
ch
as
d
ela
y
an
d
s
ec
u
r
ity
,
a
n
d
also
e
n
ab
le
d
b
r
o
k
er
s
to
c
o
llab
o
r
ate
a
n
d
ex
ch
an
g
e
d
ata
with
o
t
h
er
b
r
o
k
er
s
b
ased
o
n
th
e
s
u
b
s
cr
ib
er
s
’
in
ter
ests
.
So
n
k
lin
et
a
l.
[
9
]
p
r
o
p
o
s
ed
a
f
r
am
e
wo
r
k
b
ased
o
n
p
u
b
lis
h
-
s
u
b
s
cr
ib
e
co
m
m
u
n
icatio
n
u
s
in
g
th
e
MQ
T
T
p
r
o
to
c
o
l.
T
o
ev
al
u
ate
th
e
f
r
am
ew
o
r
k
’
s
p
er
f
o
r
m
an
ce
,
s
u
ch
as
late
n
cy
a
n
d
r
eliab
ilit
y
,
ex
ten
s
iv
e
ex
p
er
im
en
ts
wer
e
co
n
d
u
cte
d
.
T
h
ey
claim
ed
th
at
t
h
e
r
eliab
ilit
y
o
f
th
eir
s
y
s
tem
was
m
o
r
e
th
an
9
6
%
wh
ile
th
e
laten
c
y
was
less
th
an
3
0
0
m
s
.
T
h
e
f
u
n
d
am
e
n
tals
o
f
MQ
T
T
an
d
c
o
n
s
tr
ain
ed
a
p
p
licatio
n
p
r
o
to
c
o
l
(
C
o
AP)
p
r
o
to
co
ls
wer
e
p
r
o
p
o
s
ed
in
[
1
0
]
to
e
x
am
in
e
th
e
c
o
m
m
u
n
icatio
n
d
elay
.
T
h
e
a
u
th
o
r
s
also
em
p
h
asized
th
at
MQ
T
T
was
p
ar
ticu
lar
ly
well
-
s
u
ited
f
o
r
s
itu
atio
n
s
in
w
h
ich
th
er
e
was
co
m
m
u
n
icatio
n
am
o
n
g
n
u
m
er
o
u
s
d
ev
ices
in
a
m
an
y
-
to
-
m
a
n
y
c
o
n
f
ig
u
r
atio
n
.
W
an
et
a
l.
[
1
1
]
p
r
esen
ted
a
b
lo
c
k
ch
ain
-
b
ased
MQ
T
T
I
o
T
s
en
s
o
r
f
o
r
en
s
ic
s
y
s
tem
an
d
th
e
aim
was
to
p
r
o
tect
th
e
s
y
s
tem
f
r
o
m
d
ig
ital
cr
im
e
attac
k
s
.
Yeh
e
t
a
l.
[
1
2
]
p
r
o
p
o
s
ed
a
s
m
ar
t
f
ac
to
r
y
n
etwo
r
k
ar
c
h
itectu
r
e
b
ased
o
n
I
o
T
co
m
m
u
n
i
ca
tio
n
p
r
o
to
c
o
l.
MQ
T
T
was
u
s
ed
in
th
is
wo
r
k
to
s
o
lv
e
th
e
u
s
e
o
f
d
if
f
er
en
t
in
d
u
s
tr
ial
n
etwo
r
k
p
r
o
to
co
ls
f
o
r
d
if
f
er
en
t
e
q
u
ip
m
e
n
t
in
f
ac
to
r
i
es.
T
h
e
m
ain
k
ey
p
er
f
o
r
m
an
ce
o
f
MQ
T
T
p
r
o
to
c
o
l
was
p
r
o
p
o
s
ed
in
[
1
3
]
,
in
clu
d
in
g
d
elay
a
n
d
en
er
g
y
c
o
n
s
u
m
p
tio
n
.
T
h
e
r
esu
lts
o
f
th
is
wo
r
k
also
illu
s
tr
ated
th
at
MQ
T
T
o
u
tp
er
f
o
r
m
s
th
e
QUI
C
p
r
o
to
co
l
i
n
ter
m
s
o
f
d
elay
.
T
h
e
two
wo
r
k
s
[
1
4
]
,
[
1
5
]
wo
r
k
e
d
o
n
ex
p
l
o
r
in
g
th
e
I
o
T
p
r
o
to
c
o
l
th
at
co
u
ld
tr
an
s
m
it
d
ata
b
etwe
en
I
o
T
d
e
v
ices
in
r
ea
l
tim
e.
T
h
e
au
th
o
r
s
ev
alu
ated
th
e
p
e
r
f
o
r
m
a
n
ce
o
f
th
e
d
if
f
er
e
n
t
ty
p
es
o
f
I
o
T
p
r
o
to
c
o
ls
,
s
u
ch
as
MQ
T
T
,
r
ea
l
-
tim
e
p
u
b
lis
h
-
s
u
b
s
cr
ib
e
(
R
T
PS
)
,
h
y
p
er
tex
t
tr
an
s
f
er
p
r
o
to
co
l
(
H
T
T
P)
an
d
ad
v
an
ce
d
m
ess
ag
e
q
u
e
u
in
g
p
r
o
to
co
l
(
AM
QP)
.
T
h
e
r
esu
lts
s
h
o
wed
th
at
MQ
T
T
was
s
u
itab
le
f
o
r
tr
an
s
p
o
r
tin
g
s
h
o
r
t
m
ess
ag
es
wh
en
co
m
p
ar
ed
to
th
e
o
th
er
p
r
o
to
co
ls
.
An
im
p
lem
e
n
tatio
n
o
f
MQ
T
T
lo
ad
test
to
o
ls
was
p
r
esen
ted
in
s
tu
d
y
[
1
6
]
to
ev
al
u
ate
th
e
p
er
f
o
r
m
an
ce
o
f
th
ei
r
s
y
s
tem
u
s
in
g
MQ
T
T
p
r
o
to
co
l
wh
ile
tr
a
n
s
m
itti
n
g
lar
g
e
am
o
u
n
ts
o
f
I
o
T
d
ata.
T
h
e
au
th
o
r
s
claim
ed
th
at
th
eir
n
ew
s
y
s
tem
was
ex
ec
u
tab
le
o
n
v
ar
io
u
s
p
latf
o
r
m
s
,
in
clu
d
in
g
g
r
a
p
h
ical
u
s
er
in
ter
f
ac
e
(
GUI
)
an
d
a
tex
t
-
b
ased
co
n
s
o
le
v
er
s
io
n
.
Sev
er
al
s
tu
d
ies
h
av
e
b
ee
n
d
o
n
e
o
n
th
e
MQ
T
T
p
r
o
to
c
o
l
b
ec
a
u
s
e
it
is
ea
s
y
to
im
p
lem
en
t
an
d
d
ep
lo
y
.
T
h
e
MQ
T
T
p
r
o
to
co
l
also
p
r
o
v
id
es
r
ea
l
-
tim
e
an
d
r
eliab
le
co
m
m
u
n
icatio
n
b
etwe
en
a
p
u
b
lis
h
er
an
d
a
s
u
b
s
cr
ib
er
.
Ho
wev
er
,
f
ew
s
tu
d
ies
h
av
e
b
ee
n
co
n
d
u
cted
to
co
v
er
th
e
o
v
er
all
p
er
f
o
r
m
an
ce
m
etr
ics.
T
h
er
ef
o
r
e,
th
is
p
ap
er
aim
s
t
o
d
e
v
elo
p
t
h
e
wate
r
lev
el
war
n
in
g
s
y
s
tem
p
r
o
t
o
ty
p
e
u
s
in
g
t
h
e
MQ
T
T
p
r
o
t
o
co
l
a
n
d
th
e
n
ev
alu
ate
th
e
p
er
f
o
r
m
a
n
ce
o
f
t
h
e
p
r
o
p
o
s
ed
s
y
s
tem
with
d
if
f
er
en
t m
etr
ics,
in
clu
d
in
g
laten
cy
,
th
r
o
u
g
h
p
u
t,
p
ac
k
et
lo
s
s
r
ate
(
PLR),
p
ac
k
et
d
eliv
er
y
r
atio
(
PDR
)
,
av
ailab
ilit
y
,
an
d
ac
cu
r
ac
y
b
y
s
im
u
latio
n
ex
p
er
im
en
ts
.
T
h
e
an
aly
s
is
is
p
er
f
o
r
m
ed
to
d
is
cu
s
s
th
e
ex
p
er
im
en
tal
r
esu
lt.
T
h
e
m
ain
co
n
tr
i
b
u
tio
n
o
f
th
is
p
a
p
er
is
a
p
er
f
o
r
m
an
ce
ev
alu
atio
n
o
f
th
e
p
r
o
p
o
s
ed
s
y
s
tem
th
r
o
u
g
h
s
im
u
latio
n
ex
p
er
im
en
ts
an
d
th
eir
an
aly
s
is
to
in
v
esti
g
ate
th
e
o
p
tim
al
p
ar
am
eter
v
alu
es
a
n
d
th
eir
co
r
r
elatio
n
with
d
if
f
er
en
t
d
ata
tr
an
s
m
is
s
io
n
r
ates
to
s
u
p
p
o
r
t
I
o
T
ap
p
licatio
n
s
.
T
h
is
is
ess
en
tial t
o
p
r
o
v
id
e
p
r
ac
tical
g
u
id
a
n
ce
f
o
r
th
e
f
u
tu
r
e
d
esig
n
o
f
I
o
T
a
p
p
licatio
n
s
.
T
h
e
p
a
p
er
is
o
r
g
a
n
ized
as
f
o
llo
ws.
Sectio
n
2
illu
s
tr
ates
th
e
p
r
o
p
o
s
ed
s
y
s
tem
d
esig
n
.
Sectio
n
3
p
r
esen
ts
th
e
ex
p
er
im
en
tal
r
esu
lts
an
d
d
is
cu
s
s
io
n
.
Fin
ally
,
th
is
p
ap
er
is
co
n
clu
d
ed
an
d
f
u
tu
r
e
wo
r
k
is
d
is
cu
s
s
ed
in
s
ec
tio
n
4
.
2.
M
E
T
H
O
D
2
.
1
.
Wa
t
er
lev
el
wa
rning
s
y
s
t
em
des
ig
n
T
h
e
p
er
f
o
r
m
an
ce
o
f
th
e
p
r
o
p
o
s
ed
wate
r
lev
el
war
n
in
g
s
y
s
t
em
is
ev
alu
ated
th
r
o
u
g
h
s
im
u
latio
n
an
d
ex
p
er
im
en
tal
an
al
y
s
es.
Sev
er
al
h
ar
d
war
e
an
d
s
o
f
twar
e
to
o
ls
ar
e
u
s
ed
to
d
ev
el
o
p
an
d
e
v
al
u
ate
th
e
p
r
o
p
o
s
ed
s
y
s
tem
.
Fig
u
r
e
1
s
h
o
ws
th
e
p
r
o
p
o
s
ed
wate
r
lev
el
war
n
in
g
s
y
s
tem
p
r
o
to
ty
p
e.
I
t
is
im
p
lem
en
ted
u
s
in
g
No
d
e
-
R
E
D
as
a
s
u
b
s
cr
ib
er
,
No
d
e
Mic
r
o
C
o
n
t
r
o
ller
u
n
it
(
No
d
eM
C
U)
b
ased
o
n
E
SP
-
W
R
O
OM
-
3
2
m
o
d
u
le
(
E
SP
3
2
No
d
eM
C
U)
as a
p
u
b
li
s
h
er
,
th
e
MQ
T
T
b
r
o
k
er
as a
b
r
o
k
er
,
a
n
d
an
u
ltra
s
o
n
ic
s
en
s
o
r
to
s
en
d
d
ata.
Acc
o
r
d
in
g
to
s
tu
d
y
[
1
7
]
,
th
e
u
ltra
s
o
n
ic
s
en
s
o
r
is
a
lo
w
-
c
o
s
t
s
en
s
o
r
an
d
ca
n
b
e
p
er
f
o
r
m
e
d
well
u
n
d
er
ex
ten
s
iv
e
co
n
d
itio
n
s
,
s
u
ch
as
tem
p
er
atu
r
e
an
d
p
r
ess
u
r
e.
I
n
t
h
is
s
tu
d
y
,
we
u
s
e
a
n
u
ltra
s
o
n
ic
s
en
s
o
r
to
m
ea
s
u
r
e
th
e
wate
r
lev
el
an
d
s
en
d
d
ata
to
E
SP
3
2
No
d
eM
C
U,
wh
ich
is
a
s
y
s
tem
-
on
-
ch
ip
(
SOC
)
m
icr
o
co
n
tr
o
ller
with
in
teg
r
ated
W
i
-
Fi
an
d
B
lu
eto
o
t
h
-
en
ab
led
d
e
v
elo
p
m
e
n
t
b
o
ar
d
b
ased
o
n
t
h
e
E
SP
3
2
m
icr
o
c
o
n
tr
o
ller
[
1
8
]
.
I
t
h
as
b
ee
n
wid
ely
u
s
ed
in
I
o
T
s
y
s
tem
s
d
u
e
to
its
af
f
o
r
d
ab
ilit
y
,
en
er
g
y
ef
f
icien
c
y
,
an
d
p
o
wer
f
u
l
co
m
p
u
tin
g
ca
p
ab
ilit
ies
[
1
9
]
.
Fig
u
r
e
2
s
h
o
ws h
ar
d
war
e
s
ch
em
atic
d
esig
n
f
o
r
th
e
u
ltra
s
o
n
ic
s
en
s
o
r
a
n
d
No
d
eM
C
U.
T
h
en
,
No
d
eM
C
U
n
ee
d
s
to
b
e
co
n
n
ec
ted
to
a
W
i
-
Fi
m
o
d
e
m
.
On
ce
co
n
n
ec
ted
,
No
d
eM
C
U
c
o
u
ld
s
en
d
th
e
s
en
s
o
r
-
g
en
er
ate
d
d
ata
to
t
h
e
MQ
T
T
b
r
o
k
e
r
(
o
r
s
er
v
er
)
o
v
er
th
e
in
ter
n
et.
Af
ter
th
e
s
e
r
v
er
p
r
o
ce
s
s
es
th
e
d
ata,
s
u
b
s
cr
ib
er
s
ca
n
ac
ce
s
s
it
th
r
o
u
g
h
a
cr
ea
ted
ap
p
licatio
n
.
Ou
r
s
y
s
tem
u
s
es
N
o
d
e
-
R
E
D,
a
v
is
u
al
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
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8
7
0
8
I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
14
,
No
.
6
,
Dec
em
b
e
r
20
24
:
7
1
7
8
-
7
1
8
5
7180
p
r
o
g
r
a
m
m
in
g
to
o
l,
as
a
s
u
b
s
cr
ib
er
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d
cr
ea
tes
a
n
a
p
p
licatio
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.
T
h
is
is
b
ec
a
u
s
e
No
d
e
-
R
E
D
allo
ws
u
s
er
s
to
wir
e
to
g
eth
er
d
ev
ices,
ap
p
licatio
n
p
r
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r
a
m
m
in
g
in
ter
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ac
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API
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an
d
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lin
e
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er
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ices
to
d
ev
el
o
p
ap
p
licatio
n
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an
d
au
to
m
ate
wo
r
k
f
l
o
ws
[
2
0
]
–
[
2
2
]
.
Par
ticu
lar
ly
,
th
is
to
o
l
is
p
o
p
u
lar
in
I
o
T
im
p
lem
en
tatio
n
s
,
wh
er
e
it
is
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s
ed
to
co
n
n
ec
t a
n
d
co
n
tr
o
l I
o
T
d
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ic
es,
co
llect
an
d
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aly
ze
s
en
s
o
r
d
ata,
an
d
c
r
ea
te
I
o
T
ap
p
licatio
n
s
.
Acc
o
r
d
in
g
to
Fig
u
r
e
3
,
th
e
b
l
o
ck
d
iag
r
am
illu
s
tr
ates
th
e
co
m
p
lete
p
r
o
ce
s
s
o
f
th
e
p
r
o
p
o
s
ed
s
y
s
tem
p
er
f
o
r
m
an
ce
an
aly
s
is
.
I
n
th
e
p
r
o
ce
s
s
o
f
co
llectin
g
d
ata,
u
lt
r
aso
n
ic
s
en
s
o
r
is
u
s
ed
to
co
llect
wate
r
lev
el
d
ata
f
r
o
m
wate
r
tan
k
.
Af
ter
th
at,
d
ata
is
tr
a
n
s
f
er
r
ed
f
r
o
m
No
d
eM
C
U
v
ia
th
e
MQ
T
T
b
r
o
k
er
t
o
a
n
aly
ze
t
h
e
p
er
f
o
r
m
an
ce
m
etr
ics
o
f
th
e
p
r
o
p
o
s
ed
s
y
s
tem
p
r
o
to
ty
p
e
.
T
h
e
d
etails
o
f
th
e
p
er
f
o
r
m
a
n
ce
p
ar
a
m
eter
s
ar
e
d
escr
ib
ed
in
th
e
n
ex
t sectio
n
.
Fig
u
r
e
1
.
Sy
s
tem
p
r
o
to
ty
p
e
d
e
s
ig
n
Fig
u
r
e
2.
Har
d
wa
r
e
d
e
s
i
g
n
Fig
u
r
e
3.
B
lo
ck
d
iag
r
am
of
th
e
p
r
o
p
o
s
ed
s
y
s
tem
p
r
o
t
o
t
y
p
e
2
.
2
.
P
er
f
o
r
m
a
nce
t
est
pa
ra
m
et
er
s
Var
io
u
s
p
ar
am
eter
s
ar
e
u
s
ed
to
ev
alu
ate
th
e
p
er
f
o
r
m
an
ce
o
f
th
e
p
r
o
p
o
s
ed
s
y
s
tem
p
r
o
to
ty
p
e.
T
h
ese
p
ar
am
eter
s
ar
e
laten
cy
,
th
r
o
u
g
h
p
u
t,
p
ac
k
et
lo
s
s
r
ate
(
PLR),
p
ac
k
et
d
eliv
e
r
y
r
atio
(
PDR
)
,
av
ailab
ilit
y
,
an
d
s
en
s
o
r
ac
cu
r
ac
y
.
T
h
e
f
o
llo
win
g
ar
e
th
e
d
etails o
f
ea
ch
p
ar
am
eter
.
2
.
2
.
1
.
L
a
t
ency
Per
f
o
r
m
an
ce
test
in
g
is
co
n
d
u
cted
to
ass
ess
a
s
y
s
tem
’
s
r
es
p
o
n
s
iv
en
ess
,
with
laten
cy
b
ei
n
g
a
k
e
y
m
etr
ic
in
th
is
ev
alu
atio
n
.
T
h
e
p
r
im
ar
y
f
o
cu
s
o
f
laten
cy
p
er
f
o
r
m
an
ce
test
in
g
is
to
q
u
an
tify
th
e
d
u
r
atio
n
r
eq
u
ir
ed
f
o
r
d
ata
tr
a
n
s
m
is
s
io
n
f
r
o
m
th
e
p
u
b
lis
h
er
to
th
e
s
u
b
s
cr
ib
er
.
T
o
ca
lcu
late
th
e
laten
c
y
o
f
o
u
r
s
y
s
tem
,
th
e
f
o
r
m
u
la
is
ex
p
r
ess
ed
as
in
(
1
)
[
2
3
]
.
=
ℎ
(
)
ℎ
(
/
)
(
1
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8
7
0
8
A
p
erfo
r
ma
n
ce
ev
a
lu
a
tio
n
o
f
th
e
in
tern
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o
f th
in
g
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mess
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g
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q
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e
…
(
K
a
c
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n
e
S
o
n
klin
)
7181
2
.
2
.
2
.
T
hro
ug
hp
ut
I
t
is
es
s
en
tial
to
en
s
u
r
e
th
at
a
s
y
s
tem
ca
n
m
an
ag
e
th
e
ex
p
ec
t
ed
wo
r
k
lo
ad
ef
f
ec
tiv
ely
with
h
ig
h
-
lev
el
p
er
f
o
r
m
an
ce
a
n
d
a
p
r
o
m
p
t
r
e
s
p
o
n
s
e
f
o
r
t
h
e
en
d
-
u
s
er
s
.
T
h
r
o
u
g
h
p
u
t
is
an
ess
en
tial
f
ac
to
r
to
co
n
s
id
er
as
it
in
v
o
lv
es
ass
ess
in
g
th
e
ca
p
ac
ity
an
d
ef
f
icien
cy
o
f
a
s
y
s
tem
to
h
an
d
le
a
s
u
b
s
tan
tial
v
o
lu
m
e
o
f
d
ata
o
r
tr
an
s
ac
tio
n
s
.
I
t m
ea
s
u
r
es th
e
am
o
u
n
t o
f
d
ata
p
r
o
ce
s
s
ed
p
er
u
n
it o
f
tim
e
an
d
th
en
ev
alu
ates
th
e
s
y
s
tem
’
s
ab
ilit
y
to
s
ca
le
with
in
cr
ea
s
in
g
w
o
r
k
lo
ad
s
.
T
h
r
o
u
g
h
p
u
t
is
u
s
u
a
lly
m
ea
s
u
r
ed
i
n
b
y
tes
p
er
s
ec
o
n
d
a
n
d
ca
n
b
e
ca
lcu
lated
u
s
in
g
f
o
r
m
u
la
(
2
)
[
2
3
]
,
[
2
4
]
.
ℎ
ℎ
=
(
)
(
)
(
2
)
2
.
2
.
3
.
P
a
c
k
et
lo
s
s
ra
t
e
Pack
et
lo
s
s
r
ate
(
PLR)
is
a
cr
u
cial
m
etr
ic
in
n
etwo
r
k
i
n
g
th
at
q
u
an
tifie
s
th
e
p
e
r
ce
n
ta
g
e
o
f
d
ata
p
ac
k
ets
th
at
f
ail
to
r
ea
c
h
th
e
d
esti
n
atio
n
with
in
a
co
m
m
u
n
i
ca
tio
n
s
y
s
tem
.
PR
L
in
d
icate
s
th
e
r
eliab
ilit
y
an
d
r
o
b
u
s
tn
ess
o
f
th
e
n
etwo
r
k
as
a
lo
wer
p
ac
k
et
lo
s
s
r
ate
im
p
li
es
m
o
r
e
s
u
cc
ess
f
u
l
d
ata
tr
a
n
s
m
is
s
io
n
.
T
h
e
PLR
f
o
r
m
u
la
ca
n
b
e
ca
lc
u
lated
u
s
in
g
th
e
f
o
r
m
u
la
(
3
)
[
2
4
]
,
[
2
5
]
.
(
%
)
=
−
×
100
(
3
)
2
.
2
.
4
.
P
a
c
k
et
deliv
er
y
r
a
t
io
Pack
et
d
eliv
er
y
r
atio
(
PDR
)
i
s
a
m
etr
ic
th
at
m
ea
s
u
r
es
t
h
e
r
atio
o
f
s
u
cc
ess
f
u
lly
d
eliv
er
ed
p
ac
k
ets
to
th
e
to
tal
n
u
m
b
e
r
o
f
p
ac
k
ets tr
a
n
s
m
itted
.
A
h
ig
h
PDR
in
d
icate
s
an
ef
f
icien
t a
n
d
r
eliab
le
n
et
wo
r
k
,
r
e
f
lectin
g
th
e
p
er
ce
n
tag
e
o
f
p
ac
k
ets
th
at
r
ea
ch
th
e
d
esti
n
atio
n
s
with
o
u
t
er
r
o
r
s
o
r
lo
s
s
.
T
h
e
PDR
ca
n
b
e
ca
lcu
lated
as
in
(
4
)
[
2
5
]
,
[
2
6
]
.
(
%
)
=
×
100
(
4
)
2
.
2
.
5
.
Av
a
ila
bil
it
y
Sy
s
tem
av
ailab
ilit
y
r
ef
e
r
s
to
a
s
y
s
tem
th
at
is
o
p
er
atio
n
al
an
d
ac
ce
s
s
ib
le
wh
en
n
ee
d
ed
wh
ile
o
p
tim
izin
g
its
f
u
n
ctio
n
ality
f
o
r
en
d
-
u
s
er
s
.
Av
ailab
ilit
y
is
t
y
p
ically
m
en
tio
n
e
d
as
a
p
er
ce
n
tag
e,
r
ep
r
esen
tin
g
th
e
p
r
o
p
o
r
tio
n
o
f
tim
e
th
e
s
y
s
tem
is
f
u
n
ctio
n
al
o
v
er
a
s
p
ec
if
i
c
p
er
io
d
.
T
h
e
av
ailab
ilit
y
ca
n
b
e
ca
lcu
lated
as
in
(
5
)
[
2
5
]
,
[
2
7
]
.
(
%
)
=
+
×
100
(
5
)
2
.
2
.
6
.
Sens
o
r
a
cc
ura
cy
Sen
s
o
r
ac
cu
r
ac
y
is
th
e
m
etr
ic
to
ass
es
s
th
e
p
er
f
o
r
m
an
ce
o
f
th
e
u
ltra
s
o
n
ic
s
en
s
o
r
em
p
lo
y
ed
f
o
r
th
e
p
r
o
p
o
s
ed
s
y
s
tem
p
r
o
to
ty
p
e.
R
o
o
t
m
ea
n
s
q
u
ar
e
er
r
o
r
(
R
MSE
)
is
a
k
ey
s
tati
s
tical
m
etr
ic
th
at
h
as
b
ee
n
u
s
ed
to
ev
alu
ate
th
e
ac
cu
r
ac
y
o
f
a
m
o
d
el
o
r
s
en
s
o
r
b
y
q
u
an
tify
in
g
t
h
e
d
if
f
er
en
ce
b
etwe
en
m
ea
s
u
r
ed
v
alu
es
an
d
tr
u
e
v
alu
es
[
2
8
]
.
T
h
e
s
en
s
o
r
ac
cu
r
a
cy
ca
n
b
e
ca
lcu
lated
u
s
in
g
(
6
)
[
2
8
]
.
=
√
1
∑
(
=
1
−
̂
)
2
(
6
)
wh
er
e
is
th
e
ac
tu
al
wate
r
le
v
el
v
alu
e,
w
h
ich
is
m
ea
s
u
r
e
d
b
y
a
m
ea
s
u
r
in
g
in
s
tr
u
m
en
t,
̂
is
th
e
m
ea
s
u
r
ed
wate
r
lev
el
v
alu
e,
m
ea
s
u
r
ed
b
y
th
e
u
ltra
s
o
n
ic
s
en
s
o
r
,
an
d
is
th
e
n
u
m
b
er
o
f
o
b
s
er
v
atio
n
s
.
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
I
n
th
is
s
ec
tio
n
,
th
e
ex
p
er
im
e
n
ts
ar
e
co
n
d
u
cted
to
illu
s
tr
ate
th
e
p
er
f
o
r
m
an
ce
o
f
th
e
p
r
o
p
o
s
ed
wate
r
lev
el
war
n
in
g
s
y
s
tem
p
r
o
to
t
y
p
e
u
s
in
g
I
o
T
p
r
o
to
co
l
with
v
a
r
io
u
s
p
ar
am
eter
s
d
escr
ib
ed
in
t
h
e
p
r
ev
io
u
s
s
ec
tio
n
.
T
h
en
,
th
e
r
esu
lts
ar
e
an
aly
ze
d
an
d
d
is
cu
s
s
ed
to
f
i
n
d
th
e
o
p
t
im
al
p
ar
am
eter
v
al
u
es
an
d
th
eir
co
r
r
elatio
n
with
d
if
f
er
en
t
d
ata
tr
an
s
m
is
s
io
n
r
a
tes
to
s
u
p
p
o
r
t
I
o
T
ap
p
licatio
n
s
.
T
o
ev
alu
ate
th
e
p
e
r
f
o
r
m
an
ce
o
f
th
e
p
r
o
p
o
s
e
d
s
y
s
tem
p
r
o
to
ty
p
e
in
ter
m
s
o
f
laten
cy
,
th
r
o
u
g
h
p
u
t,
p
ac
k
et
lo
s
s
r
ate,
p
ac
k
et
d
eliv
er
y
r
atio
,
r
eliab
ilit
y
,
an
d
av
ailab
ilit
y
,
f
o
u
r
s
ets
o
f
ex
p
e
r
im
en
ts
ar
e
d
esig
n
ed
.
T
h
e
M
QT
T
p
r
o
to
c
o
l
is
u
s
ed
to
d
em
o
n
s
tr
ate
a
m
ess
ag
e
tr
an
s
f
er
with
d
if
f
er
e
n
t
d
ata
tr
an
s
m
is
s
io
n
r
ates.
I
n
th
e
ex
p
er
im
en
t,
No
d
e
-
R
E
D
as
a
s
u
b
s
cr
ib
er
is
s
et
u
p
o
n
a
p
er
s
o
n
al
c
o
m
p
u
te
r
with
a
wir
ed
co
n
n
ec
tio
n
(
L
AN
ca
b
le)
,
wh
ile
No
d
eM
C
U
as
a
p
u
b
lis
h
er
a
n
d
th
e
MQ
T
T
b
r
o
k
er
as
a
b
r
o
k
er
a
r
e
s
et
u
p
o
n
th
e
s
am
e
lap
to
p
with
a
Wi
-
Fi
co
n
n
ec
tio
n
.
T
h
e
MQ
T
T
b
r
o
k
er
is
in
s
talled
to
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
7
0
8
I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
14
,
No
.
6
,
Dec
em
b
e
r
20
24
:
7
1
7
8
-
7
1
8
5
7182
r
u
n
as
m
id
d
lewa
r
e
o
f
t
h
e
p
u
b
lis
h
-
s
u
b
s
cr
ib
e
co
m
m
u
n
icatio
n
with
q
u
ality
o
f
s
er
v
ice
(
Q
o
S)
lev
el
0
.
Data
tr
an
s
m
is
s
io
n
r
ates
ar
e
1
,
2
,
5
,
an
d
1
0
Hz.
I
n
th
is
s
tu
d
y
,
‘
Hz’
r
ep
r
esen
ts
th
e
f
r
eq
u
e
n
cy
at
w
h
ich
m
ess
ag
es
ar
e
s
en
t
p
er
s
ec
o
n
d
.
Fo
r
ex
am
p
le,
th
e
d
ata
tr
an
s
m
is
s
io
n
r
ates
o
f
5
an
d
1
0
Hz
m
ea
n
5
an
d
1
0
m
ess
ag
es
ar
e
s
en
t
ev
er
y
s
ec
o
n
d
.
E
v
er
y
ex
p
e
r
im
en
t
is
r
u
n
f
o
r
6
0
s
ec
o
n
d
s
an
d
r
ep
ea
ted
3
0
ti
m
es.
T
h
e
W
ir
esh
ar
k
s
o
f
twar
e
is
u
s
ed
in
th
e
ex
p
er
im
e
n
ts
to
m
ea
s
u
r
e
th
e
s
y
s
tem
’
s
p
er
f
o
r
m
a
n
ce
.
T
h
e
d
etails
o
f
ea
ch
s
et
o
f
e
x
p
er
im
en
ts
an
d
th
e
r
esu
lts
ar
e
d
is
cu
s
s
ed
in
th
e
f
o
llo
win
g
s
u
b
s
ec
tio
n
s
.
3
.
1
.
E
x
perim
ent
1
:
la
t
ency
o
f
m
e
s
s
a
g
e
ex
cha
ng
e
o
v
er
M
Q
T
T
T
h
e
m
ea
s
u
r
ed
laten
cy
i
n
clu
d
es
th
e
laten
cy
b
etwe
en
No
d
e
MCU
an
d
MQ
T
T
b
r
o
k
er
,
M
QT
T
b
r
o
k
er
an
d
No
d
e
-
R
E
D,
a
n
d
No
d
eM
C
U
an
d
No
d
e
-
R
E
D
(
o
n
e
-
wa
y
laten
cy
)
.
Fig
u
r
e
4
d
em
o
n
s
tr
ates
th
e
av
e
r
ag
e
m
ess
ag
e
tr
an
s
m
is
s
io
n
f
o
r
th
r
e
e
m
ea
s
u
r
ed
laten
cies
at
v
ar
io
u
s
d
ata
tr
an
s
m
is
s
io
n
r
ates.
I
t
ca
n
b
e
s
ee
n
f
r
o
m
th
e
f
ig
u
r
e
th
at
th
e
laten
cy
in
cr
ea
s
es
wh
en
th
e
d
ata
tr
an
s
m
is
s
io
n
r
ate
in
cr
ea
s
es
f
r
o
m
1
to
1
0
Hz.
T
r
an
s
m
itti
n
g
d
ata
at
a
h
ig
h
d
ata
r
ate
(
1
0
Hz)
en
ab
les
d
ata
to
b
e
p
u
b
lis
h
ed
q
u
i
ck
ly
.
Similar
ly
,
Z
u
lf
ik
r
i
et
a
l.
[
2
3
]
co
n
clu
d
ed
th
at
an
in
cr
ea
s
e
in
d
ata
tr
an
s
m
is
s
io
n
r
ate
r
esu
lted
in
a
g
r
ea
ter
l
aten
cy
.
Ho
wev
er
,
o
u
r
laten
cy
r
esu
lts
o
u
tp
er
f
o
r
m
th
e
s
y
s
tem
p
r
o
to
t
y
p
e
[
2
3
]
in
th
e
m
ess
ag
e
tr
an
s
m
is
s
io
n
r
ate
at
1
,
2
,
an
d
5
Hz.
T
h
is
clea
r
v
is
u
aliza
tio
n
illu
s
tr
ates
th
e
d
ir
ec
t
im
p
ac
t
o
f
d
ata
tr
a
n
s
m
is
s
io
n
r
ates
o
n
laten
cy
,
em
p
h
asizin
g
t
h
e
n
ee
d
f
o
r
h
ig
h
er
tr
an
s
m
is
s
io
n
r
ates f
o
r
en
h
a
n
ce
d
ef
f
icien
cy
.
Fig
u
r
e
4.
L
aten
c
y
of
m
ess
ag
e
ex
ch
an
g
e
o
v
er
MQ
T
T
c
o
m
p
a
r
i
s
o
n
s
3
.
2
.
E
x
perim
ent
2
:
t
hro
ug
hp
ut
o
f
m
ess
a
g
e
ex
cha
ng
e
o
v
er
M
Q
T
T
T
h
is
ex
p
er
im
en
t
aim
s
to
in
v
es
tig
ate
h
o
w
th
r
o
u
g
h
p
u
t
is
af
f
ec
ted
b
y
d
ata
tr
an
s
m
is
s
io
n
r
ate.
Fig
u
r
e
s
5
an
d
6
s
h
o
w
t
h
at
th
r
o
u
g
h
p
u
t
p
e
r
f
o
r
m
s
well
wh
e
n
tr
a
n
s
m
itti
n
g
m
ess
ag
es
f
r
o
m
No
d
eM
C
U
to
th
e
MQ
T
T
b
r
o
k
er
an
d
f
r
o
m
th
e
MQ
T
T
b
r
o
k
er
to
th
e
s
u
b
s
cr
ib
er
at
th
e
1
0
Hz
d
a
ta
tr
an
s
m
is
s
io
n
r
ate.
T
h
e
r
esu
lts
also
d
em
o
n
s
tr
ate
th
at
a
h
ig
h
er
d
ata
tr
an
s
m
is
s
io
n
r
ate
lead
s
to
an
in
c
r
ea
s
e
in
th
r
o
u
g
h
p
u
t.
Fig
u
r
e
5.
T
h
r
o
u
g
h
p
u
t
b
etwe
en
No
d
eM
C
U
an
d
B
r
o
k
e
r
Fig
u
r
e
6.
T
h
r
o
u
g
h
p
u
t
b
etwe
en
B
r
o
k
er
an
d
S
u
b
s
c
r
i
b
e
r
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8
7
0
8
A
p
erfo
r
ma
n
ce
ev
a
lu
a
tio
n
o
f
th
e
in
tern
et
o
f th
in
g
s
-
mess
a
g
e
q
u
eu
e
…
(
K
a
c
h
a
n
e
S
o
n
klin
)
7183
As
m
en
tio
n
ed
p
r
e
v
io
u
s
ly
,
d
at
a
tr
an
s
m
is
s
io
n
r
ate
r
ef
er
s
to
th
e
f
r
eq
u
en
cy
o
f
d
ata
s
en
t
p
er
s
ec
o
n
d
.
Hig
h
er
d
ata
r
ates
in
d
icate
m
o
r
e
d
ata
b
ein
g
tr
an
s
m
itted
.
Acc
o
r
d
in
g
to
(
2
)
,
th
e
th
r
o
u
g
h
p
u
t
d
ep
en
d
s
o
n
th
e
am
o
u
n
t
o
f
d
ata
tr
an
s
f
er
r
ed
a
n
d
th
e
to
tal
tim
e
tak
en
.
Ho
wev
er
,
f
o
r
th
is
ex
p
er
im
en
t,
th
e
to
t
al
tim
e
tak
en
d
o
es
n
o
t
af
f
ec
t
t
h
e
th
r
o
u
g
h
p
u
t
b
e
ca
u
s
e
th
e
to
tal
tim
e
f
o
r
s
en
d
in
g
th
e
c
o
m
p
lete
m
ess
ag
e
(
f
r
o
m
No
d
eM
C
U
to
s
u
b
s
cr
ib
er
)
is
th
e
s
am
e
(
6
0
s
ec
o
n
d
s
)
f
o
r
all
ex
p
er
im
en
ts
.
T
h
er
ef
o
r
e,
th
e
d
ata
tr
a
n
s
m
is
s
io
n
r
ate
p
lay
s
a
cr
u
cial
r
o
le
in
d
eter
m
in
in
g
t
h
r
o
u
g
h
p
u
t.
3
.
3
.
E
x
perim
ent
3
:
a
v
a
ila
bil
it
y
,
P
DR
,
a
nd
P
L
R
T
h
is
ex
p
er
im
en
t
in
v
esti
g
ates
h
o
w
d
ata
tr
an
s
m
is
s
io
n
r
ate
af
f
ec
ts
th
e
av
ailab
ilit
y
,
PDR
,
a
n
d
PLR
o
f
m
ess
ag
es
tr
an
s
m
itted
f
r
o
m
th
e
p
u
b
lis
h
er
(
No
d
eM
C
U)
to
th
e
s
u
b
s
cr
ib
er
(
No
d
e
-
R
E
D)
.
T
ab
le
1
p
r
esen
ts
th
e
r
esu
lts
o
f
th
e
p
r
o
p
o
s
ed
s
y
s
tem
p
er
f
o
r
m
a
n
ce
,
in
cl
u
d
in
g
av
ailab
ilit
y
,
PDR
,
an
d
PLR
f
o
r
d
if
f
e
r
en
t
d
ata
tr
an
s
m
is
s
io
n
r
ates.
I
t
ca
n
b
e
s
ee
n
f
r
o
m
th
e
tab
le
th
at
wh
en
th
e
d
ata
tr
an
s
m
is
s
io
n
r
ate
in
cr
ea
s
es
f
r
o
m
1
Hz
to
1
0
Hz,
PLR
in
cr
ea
s
es
wh
er
ea
s
av
ailab
ilit
y
,
an
d
PDR
d
ec
r
ea
s
e.
As
th
e
d
ata
tr
an
s
m
is
s
io
n
r
ate
in
cr
ea
s
es,
th
e
n
u
m
b
er
o
f
p
ac
k
ets
tr
an
s
m
itted
p
er
s
ec
o
n
d
in
cr
ea
s
es,
lead
in
g
to
m
o
r
e
p
ac
k
et
lo
s
s
[
2
3
]
.
Fu
r
th
er
m
o
r
e
,
m
o
r
e
p
ac
k
ets
ar
e
b
ein
g
d
r
o
p
p
ed
b
ec
au
s
e
o
f
th
e
MQ
T
T
Qo
S
L
ev
el
0
m
ess
ag
e
tr
an
s
m
is
s
io
n
m
eth
o
d
,
wh
ich
d
o
es
n
o
t
g
u
ar
an
tee
th
at
th
e
s
u
b
s
cr
ib
er
will
r
ec
eiv
e
th
e
m
es
s
ag
e
[
2
9
]
.
C
o
n
s
eq
u
en
tly
,
th
is
ca
n
lead
to
p
ac
k
et
lo
s
s
an
d
r
ed
u
ce
d
a
v
ailab
ilit
y
,
an
d
PDR
.
Ho
wev
er
,
th
e
r
esu
lts
d
em
o
n
s
tr
ate
th
at
av
ailab
ilit
y
an
d
PDR
h
av
e
a
v
alu
e
o
f
u
p
to
9
7
.
8
%,
with
o
n
ly
2
.
2
%
PL
R
at
a
1
Hz
d
ata
tr
an
s
m
is
s
io
n
r
ate.
T
h
e
r
ef
o
r
e
,
th
e
d
ata
tr
an
s
m
is
s
io
n
r
ate
af
f
ec
ts
th
e
av
ailab
ilit
y
,
PDR
,
an
d
PL
R
.
T
ab
le
1.
Av
ailab
ilit
y
,
PDR
an
d
PLR
o
b
tain
ed
with
d
if
f
er
en
t
d
ata
tr
an
s
m
is
s
io
n
r
a
te
s
R
a
t
e
(
H
z
)
A
v
a
i
l
a
b
i
l
i
t
y
(
%
)
P
D
R
(
%
)
P
LR
(
%
)
1
9
7
.
8
3
9
7
.
7
8
2
.
2
2
2
9
4
.
4
1
9
4
.
0
8
5
.
9
2
5
8
6
.
6
7
8
4
.
6
2
1
5
.
3
8
10
7
8
.
3
8
7
2
.
4
2
2
7
.
5
8
3
.
4
.
E
x
perim
ent
4
:
s
ens
o
r
a
cc
ura
cy
T
h
is
ex
p
er
im
en
t
in
v
esti
g
ates
h
o
w
ac
cu
r
ate
th
e
u
ltra
s
o
n
ic
s
e
n
s
o
r
is
wh
en
tr
an
s
m
itti
n
g
m
ess
ag
es
f
r
o
m
No
d
eM
C
U
to
a
s
u
b
s
cr
ib
er
at
d
if
f
er
en
t d
ata
tr
an
s
m
is
s
io
n
r
ates.
Fig
u
r
e
7
s
h
o
ws th
e
s
en
s
o
r
ac
cu
r
ac
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ate
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at
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m
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[
3
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.
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CO
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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2
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I
n
t J E
lec
&
C
o
m
p
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n
g
,
Vo
l.
14
,
No
.
6
,
Dec
em
b
e
r
20
24
:
7
1
7
8
-
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1
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7184
PDR
,
with
m
in
im
al
PLR.
T
h
e
ex
p
er
im
e
n
tal
f
in
d
in
g
s
also
r
ev
ea
l
th
at
in
cr
ea
s
in
g
d
ata
tr
an
s
m
is
s
io
n
r
ates
en
h
an
ce
s
th
r
o
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g
h
p
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t
wh
ile
d
e
cr
ea
s
in
g
laten
cy
,
av
ailab
ilit
y
,
PDR
,
an
d
s
en
s
o
r
ac
cu
r
ac
y
.
I
n
o
th
er
wo
r
d
s
,
h
i
g
h
e
r
d
ata
tr
an
s
m
is
s
io
n
r
ates
lead
t
o
h
ig
h
er
t
h
r
o
u
g
h
p
u
t
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d
laten
cy
p
er
f
o
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m
a
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ce
with
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p
e
r
f
o
r
m
a
n
ce
in
ter
m
s
o
f
av
ailab
ilit
y
,
PDR
,
an
d
s
en
s
o
r
ac
cu
r
ac
y
.
T
h
is
h
ig
h
lig
h
ts
th
e
cr
itical
im
p
o
r
tan
ce
o
f
o
p
tim
izin
g
th
ese
p
ar
am
eter
s
f
o
r
t
h
e
ef
f
icac
y
o
f
I
o
T
im
p
lem
en
tatio
n
s
,
esp
ec
ially
s
u
b
s
tan
tial
p
o
ten
tial
s
o
lu
tio
n
s
f
o
r
r
ea
l
-
tim
e
f
lo
o
d
m
o
n
it
o
r
in
g
an
d
r
esp
o
n
s
e
ap
p
licatio
n
s
.
T
h
er
e
f
o
r
e,
th
ese
o
u
tco
m
es
s
ig
n
if
ican
tly
ad
v
a
n
ce
th
e
f
ield
o
f
I
o
T
-
b
ased
en
v
ir
o
n
m
en
tal
m
o
n
ito
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,
p
r
o
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ig
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t
s
f
o
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th
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ev
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m
en
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o
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s
m
ar
t
city
in
f
r
astru
ctu
r
e
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d
d
is
aster
m
an
ag
em
e
n
t stra
teg
ies.
I
n
f
u
tu
r
e
wo
r
k
s
,
we
will f
o
cu
s
o
n
in
teg
r
atin
g
ad
d
itio
n
al
s
en
s
o
r
ty
p
es a
n
d
ev
alu
atin
g
th
e
s
ca
lab
ilit
y
o
f
th
e
s
y
s
tem
with
m
o
r
e
ex
ten
s
iv
e
an
d
co
m
p
lex
en
v
ir
o
n
m
en
ts
.
Fu
r
th
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m
o
r
e
,
ass
ess
in
g
th
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s
y
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tem
’
s
p
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f
o
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ce
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n
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er
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iv
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n
d
itio
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a
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v
ar
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d
ata
l
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ad
s
will
b
e
ess
en
tial
f
o
r
v
alid
atin
g
its
r
o
b
u
s
tn
ess
an
d
ap
p
licab
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y
ac
r
o
s
s
d
if
f
er
en
t scen
ar
io
s
.
RE
F
E
R
E
NC
E
S
[
1
]
K
.
S
o
n
k
l
i
n
,
“
S
t
u
d
i
e
s
o
f
c
o
mm
u
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p
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f
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r
saf
e
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y
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p
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l
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c
a
t
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o
n
s,
”
Th
e
si
s
,
Q
u
e
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n
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l
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si
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y
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f
Te
c
h
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g
y
,
2
0
2
0
.
[
2
]
Z.
K
e
g
e
n
b
e
k
o
v
a
n
d
A
.
S
a
p
a
r
o
v
a
,
“
U
si
n
g
t
h
e
M
Q
TT
p
r
o
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o
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o
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t
o
t
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s
mi
t
v
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e
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r
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t
a
,
”
T
r
a
n
s
p
o
rt
a
t
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o
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Re
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e
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h
Pro
c
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i
a
,
v
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l
.
6
1
,
p
p
.
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1
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1
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0
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2
,
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o
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:
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.
t
r
p
r
o
.
2
0
2
2
.
0
1
.
0
6
7
.
[
3
]
C.
-
R
.
D
o
w
,
D
.
-
B
.
N
g
u
y
e
n
,
S
.
C
h
e
n
g
,
P
.
-
Y
.
La
i
,
a
n
d
S
.
-
F
.
H
w
a
n
g
,
“
V
I
P
ER
:
a
n
a
d
a
p
t
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v
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g
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d
a
n
c
e
a
n
d
n
o
t
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f
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c
a
t
i
o
n
serv
i
c
e
sy
s
t
e
m
i
n
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t
e
r
n
e
t
o
f
v
e
h
i
c
l
e
s,”
W
o
rl
d
Wi
d
e
We
b
,
v
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.
2
2
,
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o
.
4
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1
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0
7
/
s1
1
2
8
0
-
018
-
0
6
1
7
-
7.
[
4
]
D
.
S
i
l
v
a
,
L.
I
.
C
a
r
v
a
l
h
o
,
J.
S
o
a
r
e
s,
a
n
d
R
.
C
.
S
o
f
i
a
,
“
A
p
e
r
f
o
r
m
a
n
c
e
a
n
a
l
y
si
s o
f
i
n
t
e
r
n
e
t
o
f
t
h
i
n
g
s
n
e
t
w
o
r
k
i
n
g
p
r
o
t
o
c
o
l
s
:
e
v
a
l
u
a
t
i
n
g
M
Q
TT,
C
o
A
P
,
O
P
C
U
A
,
”
A
p
p
l
i
e
d
S
c
i
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n
c
e
s
,
v
o
l
.
1
1
,
n
o
.
1
1
,
M
a
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2
0
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,
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:
1
0
.
3
3
9
0
/
a
p
p
1
1
1
1
4
8
7
9
.
[
5
]
B
.
M
i
s
h
r
a
a
n
d
A
.
K
e
r
t
e
sz,
“
T
h
e
u
s
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o
f
M
Q
T
T
i
n
M
2
M
a
n
d
I
o
T
s
y
s
t
e
ms
:
a
su
r
v
e
y
,
”
I
EE
E
Ac
c
e
ss
,
v
o
l
.
8
,
p
p
.
2
0
1
0
7
1
–
2
0
1
0
8
6
,
2
0
2
0
,
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o
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:
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.
1
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9
/
A
C
C
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.
2
0
2
0
.
3
0
3
5
8
4
9
.
[
6
]
B
.
M
i
sh
r
a
,
B
.
M
i
sh
r
a
,
a
n
d
A
.
K
e
r
t
e
s
z
,
“
S
t
r
e
s
s
-
t
e
s
t
i
n
g
M
Q
TT
b
r
o
k
e
r
s
:
a
c
o
m
p
a
r
a
t
i
v
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a
n
a
l
y
si
s
o
f
p
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r
f
o
r
ma
n
c
e
me
a
su
r
e
me
n
t
s
,
”
En
e
r
g
i
e
s
,
v
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l
.
1
4
,
n
o
.
1
8
,
S
e
p
.
2
0
2
1
,
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:
1
0
.
3
3
9
0
/
e
n
1
4
1
8
5
8
1
7
.
[
7
]
E.
B
e
r
t
r
a
n
d
‐
M
a
r
t
i
n
e
z
,
P
.
D
i
a
s
F
e
i
o
,
V
.
d
e
B
r
i
t
o
N
a
sc
i
me
n
t
o
,
F
.
K
o
n
,
a
n
d
A
.
A
b
e
l
é
m
,
“
C
l
a
s
si
f
i
c
a
t
i
o
n
a
n
d
e
v
a
l
u
a
t
i
o
n
o
f
I
o
T
b
r
o
k
e
r
s
:
a
me
t
h
o
d
o
l
o
g
y
,
”
I
n
t
e
r
n
a
t
i
o
n
a
l
J
o
u
r
n
a
l
o
f
N
e
t
w
o
rk
Ma
n
a
g
e
m
e
n
t
,
v
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l
.
3
1
,
n
o
.
3
,
M
a
y
2
0
2
1
,
d
o
i
:
1
0
.
1
0
0
2
/
n
e
m
.
2
1
1
5
.
[
8
]
F
.
A
z
z
e
d
i
n
a
n
d
T
.
A
l
h
a
z
m
i
,
“
S
e
c
u
r
e
d
a
t
a
d
i
st
r
i
b
u
t
i
o
n
a
r
c
h
i
t
e
c
t
u
r
e
i
n
I
o
T
u
si
n
g
M
Q
TT,
”
A
p
p
l
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e
d
S
c
i
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n
c
e
s
,
v
o
l
.
1
3
,
n
o
.
4
,
F
e
b
.
2
0
2
3
,
d
o
i
:
1
0
.
3
3
9
0
/
a
p
p
1
3
0
4
2
5
1
5
.
[
9
]
K
.
S
o
n
k
l
i
n
,
C
.
W
a
n
g
,
D
.
Ja
y
a
l
a
t
h
,
a
n
d
Y
.
F
e
n
g
,
“
C
o
n
n
e
c
t
e
d
-
v
e
h
i
c
l
e
d
a
t
a
e
x
c
h
a
n
g
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s
a
n
d
p
o
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t
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o
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i
n
g
c
o
m
p
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t
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n
g
b
a
se
d
o
n
t
h
e
p
u
b
l
i
s
h
-
su
b
scr
i
b
e
p
a
r
a
d
i
g
m
,
”
J
o
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r
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a
l
o
f
C
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m
p
u
t
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d
C
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.
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Evaluation Warning : The document was created with Spire.PDF for Python.