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th
e
f
ir
s
t
s
tep
,
w
h
e
n
t
h
e
b
ase
s
tatio
n
to
p
r
ep
ar
e
a
lis
t
o
f
p
o
s
s
ib
le
b
ase
f
o
r
a
m
et
h
y
l
g
r
o
u
p
o
f
t
h
e
en
er
g
y
le
v
els o
f
th
e
o
th
er
.
T
h
en
u
s
e
th
e
lis
t
B
S
s
elec
t
b
o
th
C
HS
m
o
r
e
n
o
d
es
an
d
d
iv
id
ed
in
to
t
w
o
g
r
o
u
p
s
b
ased
o
n
p
r
o
x
i
m
it
y
.
T
h
en
a
b
alan
ce
o
f
g
r
o
u
p
p
r
o
ce
s
s
.
T
h
is
p
r
o
ce
s
s
m
u
s
t
b
e
r
ep
ea
ted
in
ea
ch
g
r
o
u
p
,
u
n
til
all
th
e
g
r
o
u
p
s
ar
e
f
o
r
m
ed
.
A
f
ter
th
e
g
r
o
u
p
w
as
f
o
r
m
ed
,
in
p
ar
tic
u
lar
,
th
e
s
tr
u
ctu
r
e
o
f
B
S
"
Min
i
m
u
m
Sp
an
n
in
g
T
r
ee
"
,
all
C
HS
an
d
r
an
d
o
m
l
y
s
elec
t
C
H
co
n
n
ec
tio
n
d
ata
p
ac
k
ets tr
an
s
m
itte
d
to
th
e
B
S.
I
n
co
n
tr
ast to
th
e
b
asin
i
n
w
h
ic
h
C
H
co
m
m
u
n
icate
d
ir
ec
tl
y
w
it
h
t
h
e
b
ase
s
tatio
n
.
I
n
th
e
s
ec
o
n
d
p
h
ase
o
f
th
e
s
tate
B
C
D
C
P
s
o
li
d
lo
g
ar
ith
m
ic
p
h
a
s
e
f
o
r
ea
ch
g
r
o
u
p
o
f
C
H
co
llis
io
n
s
cr
ea
te
T
DM
A
ti
m
i
n
g
tr
y
to
m
i
n
i
m
ize
s
en
s
o
r
n
o
d
es,
d
ata
f
r
o
m
t
h
e
HC
an
d
th
e
n
o
d
e
tr
an
s
m
it
s
d
ata
ac
q
u
ir
ed
f
r
o
m
C
H
to
t
h
e
a
g
g
r
e
g
atio
n
o
f
d
ata
an
d
co
m
p
r
es
s
io
n
a
n
d
C
H
r
o
u
te,
r
esp
o
n
s
ib
le
f
o
r
p
r
o
v
id
in
g
t
h
e
d
ata
to
th
e
m
o
b
ile
s
tatio
n
.
2.
P
RO
P
O
SE
D
P
RO
T
O
CO
L
T
h
is
s
tu
d
y
p
r
esen
t
s
a
d
y
n
a
m
ic
r
e
-
g
r
o
u
p
i
n
g
p
r
o
to
co
l
(
C
D
L
ea
c
h
)
,
w
h
ic
h
d
ev
elo
p
ed
th
e
p
r
o
to
co
l
L
ea
c
h
.
T
h
e
m
ai
n
g
o
al,
s
o
ea
c
h
C
H
s
a
m
e
n
u
m
b
er
o
f
s
e
n
s
o
r
s
n
ee
d
a
p
r
o
to
co
l
d
ev
elo
p
ed
b
y
t
h
e
cl
u
s
ter
s
iz
e.
B
ec
au
s
e
o
f
th
i
s
tr
an
s
f
er
an
d
p
r
o
ce
s
s
in
g
ea
ch
C
H
cr
ea
ted
eq
u
al.
T
h
er
ef
o
r
e,
th
e
n
et
w
o
r
k
is
li
f
e
an
d
d
ea
th
n
o
d
es
ex
ten
d
s
i
m
u
lta
n
eo
u
s
l
y
.
§
2
d
escr
ib
es
th
e
m
o
d
el
o
f
th
e
i
n
v
en
tio
n
a
n
d
th
e
w
ir
eless
p
r
o
to
co
l,
th
e
r
est
o
f
th
e
p
ap
er
is
o
r
g
an
ized
as
f
o
llo
w
s
.
A
d
et
ailed
d
escr
ip
tio
n
o
f
t
h
e
m
et
h
o
d
s
d
escr
ib
ed
in
p
ar
ag
r
ap
h
3
,
L
ea
c
h
D
C
4
s
h
o
w
s
t
h
e
e
x
p
er
i
m
e
n
tal
DC
L
ea
ch
.
Fin
a
ll
y
,
w
e
co
n
c
lu
d
e
t
h
e
p
ap
er
in
ac
co
r
d
an
ce
w
it
h
A
r
ti
cle
5
.
An
al
y
s
i
s
t
h
i
s
s
ec
tio
n
is
t
h
e
n
et
w
o
r
k
an
d
r
ad
io
h
y
p
o
th
etica
l
m
o
d
el
D
R
-
L
ea
c
h
.
W
ith
r
eg
ar
d
to
th
e
f
ir
s
t
r
ad
io
p
r
o
to
co
l,
th
e
in
itia
l le
ac
h
in
g
m
o
d
el
[
6
]
.
T
h
is
m
o
d
el
is
b
ased
o
n
th
e
f
o
llo
w
i
n
g
:
a.
B
S is
attac
h
ed
to
th
e
P
r
o
to
co
l
(
m
o
v
e)
.
b.
Ho
m
o
g
e
n
eo
u
s
l
y
a
n
d
s
i
m
u
ltan
eo
u
s
l
y
s
tar
t e
n
er
g
y
s
en
s
o
r
s
u
p
p
lied
.
c.
A
ll
Sen
s
o
r
s
u
s
ed
ar
e
s
tatic.
I
n
ad
d
itio
n
,
it
is
a
s
s
u
m
ed
th
at
ea
ch
s
e
n
s
o
r
m
a
y
b
e
i
n
t
w
o
d
i
s
tin
c
t
r
o
les:
t
h
e
r
o
le
an
d
f
u
n
ct
io
n
o
f
t
h
e
n
o
r
m
al
d
etec
tio
n
o
f
C
H.
Or
f
i
n
d
th
e
n
o
d
e
i
n
t
h
e
u
s
u
al
s
en
s
e
o
f
t
h
e
e
n
v
ir
o
n
m
e
n
t
a
n
d
i
n
f
o
r
m
atio
n
to
t
h
e
tas
te
C
H.
C
o
llect
C
H
i
n
f
o
r
m
atio
n
a
b
o
u
t
th
e
r
o
le
o
f
th
e
cl
u
s
ter
m
e
m
b
er
s
ar
e
k
n
o
w
n
,
t
h
e
co
m
p
let
e
co
m
b
i
n
atio
n
an
d
co
m
p
r
es
s
io
n
o
f
d
ata,
a
co
m
p
o
s
ite
s
i
g
n
a
l
m
a
y
cr
ea
te
an
d
tr
an
s
m
i
ts
to
th
e
B
S.
Fig
u
r
e
1
.
I
n
itial o
r
d
er
f
o
r
R
ad
io
m
o
d
el
Fig
u
r
e
1
s
h
o
w
s
t
h
e
f
ir
s
t
o
r
d
er
r
ad
io
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o
d
el.
T
h
e
r
eq
u
ir
ed
e
n
er
g
y
t
o
tr
an
s
m
it
a
n
d
r
ec
ei
v
e
a
k
-
b
it
d
ata
m
es
s
ag
e
o
v
er
a
d
is
tan
ce
d
is
g
iv
en
b
y
(
1
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an
d
(
2
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th
r
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d
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tan
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g
i
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en
b
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:
(3
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Fo
r
th
e
p
u
r
p
o
s
e
o
f
s
i
m
u
latio
n
s
w
e
co
n
s
id
er
ed
th
at
E
T
X
=
E
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X=
5
0
n
J
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it,
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0
p
J
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0
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3
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4
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J
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w
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i
s
th
e
e
n
er
g
y
r
eq
u
ir
ed
f
o
r
d
ata
ag
g
r
eg
atio
n
.
3.
DE
SCR
I
P
T
I
O
N
O
F
P
RO
P
O
SE
D
SY
ST
E
M
Or
ig
i
n
al
L
E
A
C
H
co
n
s
i
s
ts
o
f
t
w
o
p
h
a
s
es: a
p
h
a
s
e
o
f
i
n
s
ta
llat
io
n
an
d
t
h
e
s
tead
y
p
h
ase.
T
h
e
DR
-
L
ea
c
h
p
r
o
p
o
s
ed
p
r
o
to
c
o
l,
also
in
cl
u
d
es
t
w
o
p
h
a
s
es
t
h
er
eo
f
.
Ho
w
e
v
er
,
h
e
ad
d
ed
t
w
o
m
o
r
e
s
tep
co
n
f
i
g
u
r
atio
n
s
tep
s
:
s
p
litt
i
n
g
a
n
d
m
er
g
in
g
.
T
h
is
s
e
ctio
n
co
n
tai
n
s
a
d
etailed
d
escr
ip
tio
n
o
f
th
e
p
r
o
p
o
s
ed
p
h
ase
p
r
o
to
co
l.
3
.
1
.
Dy
na
m
ic
Re
-
cl
us
t
er
ing
o
f
L
e
a
ch
pro
t
o
co
l set
up
B
ef
o
r
e
in
s
tallat
io
n
o
f
t
h
e
f
ir
s
t
p
h
ase
o
f
t
h
e
m
eth
y
l
a
n
d
s
e
lecte
d
clu
s
ter
g
r
o
u
p
s
,
s
u
ch
a
s
L
E
AC
H
p
r
o
to
co
l
is
p
er
f
o
r
m
ed
.
T
h
e
clu
s
ter
s
h
av
e
b
ee
n
f
o
r
m
ed
,
w
h
i
ch
is
n
o
t
o
p
ti
m
al,
s
o
m
e
clu
s
t
er
s
m
a
y
b
e
a
v
er
y
li
m
ited
n
u
m
b
er
o
f
n
o
d
es,
alt
h
o
u
g
h
s
o
m
e
m
a
y
b
e
a
lar
g
e
n
u
m
b
er
o
f
n
o
d
es.
T
h
er
ef
o
r
e,
m
o
r
e
f
u
n
ctio
n
s
o
f
a
m
et
h
y
l
g
r
o
u
p
ar
ea
,
in
w
h
ic
h
a
lar
g
e
n
u
m
b
er
o
f
s
en
s
o
r
s
an
d
d
ie
b
ef
o
r
e
th
e
o
th
er
.
T
h
is
af
f
e
cts
th
e
o
p
er
atio
n
o
f
th
e
n
et
w
o
r
k
,
in
t
h
e
s
e
n
s
e
t
h
at
th
e
clu
s
ter
ca
n
q
u
ic
k
l
y
is
o
lat
e
th
e
C
H
-
s
p
ee
d
n
et
w
o
r
k
.
I
n
ad
d
itio
n
to
th
is
it
i
s
also
th
e
ef
f
icie
n
c
y
o
f
en
er
g
y
c
o
n
s
u
m
p
tio
n
an
d
o
f
li
v
i
n
g
tis
s
u
es.
DR
-
L
ea
c
h
atte
m
p
t
to
d
i
v
id
e
th
e
t
w
o
n
o
d
es
o
f
a
m
et
h
y
l
g
r
o
u
p
s
a
m
e
a
m
o
u
n
t
o
f
w
o
r
k
w
it
h
r
eg
ar
d
to
C
H
o
n
th
e
p
r
o
ce
s
s
i
n
g
an
d
tr
a
n
s
f
er
.
T
h
is
in
cr
ea
s
es
th
e
ef
f
icien
c
y
an
d
t
h
u
s
th
e
p
o
w
er
co
n
s
u
m
p
t
io
n
to
ex
te
n
d
th
e
n
et
w
o
r
k
.
Af
ter
th
e
i
n
itial
cl
u
s
t
er
s
ar
e
f
o
r
m
ed
,
w
e
ca
lcu
late
t
h
e
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p
ti
m
al
n
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m
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er
o
f
clu
s
ter
s
(
Ko
p
t)
[
1
3
]
.
K
o
p
t i
s
ca
lcu
lated
as
s
h
o
w
n
in
(
4
)
[
1
4
]
:
(4
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W
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er
e
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v
e
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Db
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n
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e
C
H
an
d
B
S.
Db
s
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lated
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h
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i
n
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5
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[
1
4
]
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Db
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(5
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2
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as s
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7
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d
(
8
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,
r
esp
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(
7
)
(8
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N:
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8708
Desig
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(
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1289
W
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s
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Fig
u
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2
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Op
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ize
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3
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ite
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E
AC
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Fig
u
r
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3
s
h
o
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th
e
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to
co
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o
f
th
e
m
et
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o
d
w
e
p
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e.
I
n
t
h
is
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ar
t
o
f
th
e
test
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lts
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d
t
h
e
DR
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ch
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n
s
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.
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m
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m
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n
MA
T
L
A
B
s
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m
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lat
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[
8
]
,
[
6
]
.
He
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ch
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f
2
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itio
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m
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lt
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ch
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C
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m
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s
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n
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y
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e
f
ir
s
t
n
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d
5
0
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I
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T
ab
le
1
,
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e
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m
eter
s
in
t
h
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s
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m
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v
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h
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[
8
-
1
1
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leac
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r
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s
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ed
.
Sen
s
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r
3
0
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s
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f
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[
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.
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d
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d
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o
d
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an
d
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last
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ie,
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th
e
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ase
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tatio
n
n
ea
r
o
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t
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e.
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h
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r
e
DR
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AC
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er
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a
n
t
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et
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h
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iv
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e
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ter
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a
n
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est
g
e
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er
atio
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clas
s
.
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h
is
i
s
d
u
e
to
th
e
w
a
y
p
r
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ce
s
s
es
clu
s
ter
i
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g
an
d
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e
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er
atio
n
class
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
J
E
C
E
Vo
l.
7
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No
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3
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u
n
e
2
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1
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ar
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L
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u
r
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ar
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o
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u
r
e
6
.
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ar
in
g
all
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h
r
ee
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o
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ls
at(
0
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Fig
u
r
e
7
.
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o
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ar
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g
all
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h
r
ee
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r
o
to
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ls
at
(
1
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Fig
u
r
es
8
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9
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1
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d
1
1
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ac
h
r
o
u
n
d
to
tal
e
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er
g
y
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t
h
e
D
R
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L
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c
h
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ea
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h
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d
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l,
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e
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ase
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tatio
n
(
0
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0
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(
0
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(
0
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0
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(
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5
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i
n
th
e
f
r
a
m
e
w
o
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k
r
esp
ec
tiv
e
l
y
.
Yo
u
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e
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w
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tiv
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y
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ee
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s
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m
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et
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s
.
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le
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s
en
er
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y
p
er
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u
s
ter
r
o
tatio
n
.
So
th
e
m
o
r
e
e
n
er
g
y
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s
to
r
ed
in
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r
o
u
n
d
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d
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o
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li
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th
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ir
s
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et
w
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e,
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e
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s
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m
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ar
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s
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m
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g
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t
g
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e
s
s
f
r
o
m
t
h
e
tab
le
an
d
th
e
ab
o
v
e
in
f
o
r
m
atio
n
,
th
e
s
itu
atio
n
is
d
r
am
a
tic
i
m
p
ac
t
f
r
eq
u
en
c
y
B
S
d
ie
f
ir
s
t
n
o
d
e.
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h
er
B
S
r
es
u
lt
s
c
o
n
s
u
m
e
m
o
r
e
e
n
er
g
y
.
B
u
t
s
t
i
ll
o
n
DR
-
Le
ac
h
p
er
f
o
r
m
a
n
ce
b
etter
th
a
n
o
th
er
p
r
o
to
co
ls
,
r
eg
ar
d
less
o
f
t
h
e
p
o
s
itio
n
o
f
t
h
e
B
S.
Fo
r
e
x
a
m
p
le,
w
h
e
n
t
h
e
b
ase
s
tatio
n
(
0
,
-
1
0
0
)
DC
L
ea
c
h
2
0
0
% a
n
d
3
0
0
% g
r
ea
ter
i
n
t
h
e
leac
h
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n
g
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an
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l
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d
ea
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h
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d
5
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f
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d
n
o
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e.
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n
ad
d
itio
n
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3
6
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4
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an
d
7
9
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1
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o
r
e
th
a
n
th
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es b
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e
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C
P
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th
s
an
d
5
0
% o
f
d
ea
d
k
n
o
ts
,
ea
ch
in
t
h
e
s
a
m
e
p
lace
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2088
-
8708
Desig
n
in
g
o
f D
yn
a
mic
R
e
-
clu
s
teri
n
g
Lea
ch
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r
o
to
co
l fo
r
C
a
l
cu
la
tin
g
To
t
a
l R
esid
u
a
l …
.
(
S
ye
d
Uma
r
)
1291
Fig
u
r
e
8
.
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o
m
p
ar
in
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f
u
ll
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esi
d
u
e
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n
er
g
y
f
o
r
ali
v
e
n
o
d
es a
t (
0
,
0
)
Fig
u
r
e
9
.
co
m
p
ar
in
g
f
u
ll R
e
s
i
d
u
e
E
n
er
g
y
f
o
r
ali
v
e
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d
es a
t
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-
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0)
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u
r
e
1
0
.
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m
p
ar
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u
ll R
e
s
id
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e
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n
er
g
y
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o
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d
es a
t (
0
,
-
20
0)
Fig
u
r
e
1
1
.
C
o
m
p
ar
in
g
f
u
ll R
e
s
id
u
e
E
n
er
g
y
f
o
r
aliv
e
n
o
d
es a
t (
50
0,
5
0)
4.
CO
NCLU
SI
O
N
T
h
e
b
alan
cin
g
o
f
t
h
e
lo
ad
b
etw
ee
n
m
eth
y
l,
ta
k
i
n
g
i
n
to
ac
c
o
u
n
t
t
h
e
o
p
ti
m
u
m
n
u
m
b
er
o
f
d
y
n
a
m
ic
g
r
o
u
p
in
g
lo
g
(
DR
-
L
ea
ch
)
C
H
S
an
d
ca
lcu
late
th
e
o
p
ti
m
al
s
i
ze
o
f
th
e
clu
s
ter
.
T
h
er
ef
o
r
e,
th
e
p
r
o
to
co
l
o
f
th
e
n
e
w
clu
s
ter
,
ea
ch
cl
u
s
ter
w
h
er
e
th
e
lo
w
er
li
m
it
o
f
th
e
cl
u
s
ter
s
ize
an
d
clu
s
ter
o
p
ti
m
ized
d
iv
is
io
n
s
ab
o
v
e
t
h
e
u
p
p
er
li
m
it
o
f
th
e
o
p
ti
m
u
m
.
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lt
h
o
u
g
h
t
h
e
tec
h
n
o
lo
g
y
to
i
n
cr
ea
s
e
th
e
p
r
o
ce
s
s
in
g
p
o
w
er
,
b
u
t
it
i
s
n
ec
es
s
ar
y
th
at
a
s
u
b
s
tan
tial
r
ed
u
ctio
n
o
f
th
e
n
u
m
b
er
o
f
tr
an
s
f
er
s
w
a
s
th
i
s
in
cr
ea
s
e.
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n
t
h
is
s
tu
d
y
,
w
e
s
i
m
u
lated
an
d
co
m
p
ar
ed
w
it
h
th
e
L
E
AC
H
p
r
o
to
co
l
an
d
B
C
DC
P
p
r
o
p
o
s
ed
p
r
o
t
o
co
l.
T
h
e
s
i
m
u
latio
n
r
e
s
u
lt
s
s
h
o
w
ed
th
at
DR
L
E
AC
H
L
E
AC
H
an
d
b
ett
er
th
an
t
w
o
B
C
D
C
P
.
I
n
f
ac
t
,
w
it
h
t
h
e
ex
ce
p
tio
n
o
f
DR
L
E
AC
H
L
E
A
C
H
B
S
s
ite
it
s
h
o
w
ed
g
r
ea
t
i
m
p
r
o
v
e
m
en
t.
Fo
r
ex
a
m
p
le,
an
in
cr
ea
s
e
o
f
3
2
8
%
as
a
b
r
ea
k
t
h
r
o
u
g
h
to
th
e
b
ase
s
tatio
n
(
0
,
0
)
an
d
at
least
9
2
.
3
%,
w
h
il
e
th
e
b
ase
s
tatio
n
(
1
5
0
,
5
0
)
.
I
n
ad
d
itio
n
to
t
h
e
i
m
p
r
o
v
e
m
e
n
ts
th
at
B
C
D
C
P
b
u
t
les
s
p
o
in
t
s
.
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u
r
th
er
m
o
r
e,
t
h
e
s
i
m
u
lat
io
n
r
es
u
lts
s
h
o
w
th
at
t
h
e
DR
-
L
ea
c
h
is
m
o
r
e
ef
f
ici
en
t
t
h
an
L
E
AC
H
p
r
o
to
co
l
an
d
t
w
o
B
C
DC
P
w
h
ich
th
e
p
o
s
itio
n
o
f
th
e
B
S.
cl
o
s
ed
th
e
eq
u
alizi
n
g
tec
h
n
o
lo
g
y
c
lu
s
ter
ad
d
itio
n
,
DR
-
L
ea
c
h
b
etter
th
a
n
th
e
ef
f
icie
n
t
u
s
e
o
f
en
er
g
y
D
R
B
C
DC
P
L
E
AC
H.
T
h
e
B
C
D
C
P
,
C
H,
r
an
d
o
m
l
y
s
elec
ted
to
s
en
d
d
ata
to
th
e
B
S.
A
l
l
C
H
S
s
e
n
d
th
eir
d
ata
to
th
e
s
elec
ted
n
o
d
e
th
a
t
ev
e
n
t
u
al
l
y
ac
cu
m
u
late
B
S.
C
o
n
s
eq
u
en
tl
y
,
t
h
e
en
er
g
y
co
n
s
u
m
p
tio
n
b
et
w
ee
n
t
h
e
n
o
d
es
is
n
o
t
co
m
p
e
n
s
ated
.
On
t
h
e
o
th
er
h
an
d
,
th
e
s
a
m
e
g
r
o
u
p
o
f
co
n
tact
B
S
u
n
i
f
o
r
m
en
er
g
y
an
d
t
h
er
e
f
o
r
e
allo
w
s
m
o
r
e
p
o
w
er
to
t
h
e
n
et
w
o
r
k
.
C
o
n
s
eq
u
e
n
tl
y
,
a
lo
n
g
p
er
io
d
of
tim
e
r
e
m
ai
n
s
,
an
d
t
h
e
n
et
w
o
r
k
n
o
d
e
al
w
a
y
s
r
elativ
el
y
clo
s
e
to
co
o
p
er
ate
in
tim
e
to
d
ie.
RE
F
E
R
E
NC
E
S
[
1
]
Deb
o
r
ah
E
s
tr
in
et
al,
“
N
ex
t
C
en
tu
r
y
C
h
a
llen
g
es:
S
ca
l
a
b
l
e
C
o
o
r
d
in
a
tio
n
i
n
S
en
s
o
r
N
etw
o
r
ks,
”
i
n
AC
M/I
E
E
E
I
n
ter
n
atio
n
al
C
o
n
f
er
en
ce
o
n
Mo
b
ile
C
o
m
p
u
t
in
g
an
d
N
et
w
o
r
k
i
n
g
,
Ne
w
Yo
r
k
,
NY,
US
A
,
1
9
9
9
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
J
E
C
E
Vo
l.
7
,
No
.
3
,
J
u
n
e
2
0
1
7
:
1
2
8
6
–
1
2
9
2
1292
[
2
]
C
.
F.
W
a
n
g
,
J
.
D.
S
h
i
h
,
B
.
H.
P
an
an
d
T
.
Y.
W
u
,
“
A
Net
w
o
r
k
L
i
f
eti
m
e
E
n
h
an
ce
m
e
n
t
Me
th
o
d
f
o
r
Sin
k
R
elo
ca
tio
n
an
d
i
ts
A
n
a
l
y
s
is
in
W
ir
eless
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[
3
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b
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aj
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d
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ti,
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2
0
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5.
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4
]
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n
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2
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2
0
0
8
.
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5
]
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Gh
iasi
et
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p
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2
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6
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7
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m
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ased
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[
8
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D.
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lized
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p
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r
ch
2005.
[
9
]
T
.
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g
,
J
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Y
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n
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0
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1
1
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.
T
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d
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T
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g
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Net
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)
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No
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er
2
0
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[
1
2
]
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.
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W
en
a
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d
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C
.
C
h
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,
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y
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l.
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5
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1
3
]
A
.
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.
M.
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li
m
A
l
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s
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m
et
al,
“
Fi
n
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ti
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atica
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S
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tifi
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R
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r
ch
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l.
2
,
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,
p
p
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1
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9
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0
1
0
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[
1
4
]
V.
S.
Kr
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h
n
a
Go
p
al
Vij
a
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y
a,
“
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Am
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,
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.
4
,
p
p
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1
,
2012.
[
1
5
]
W
.
R
.
Hein
ze
l
m
a
n
e
t
al,
“
E
n
erg
y
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efficien
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r
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to
co
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r
w
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s
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S
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Scie
n
ce
s
,
2
0
0
0
.
P
r
o
ce
e
d
in
g
s
o
f
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3
3
r
d
A
n
n
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al
Ha
w
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ter
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C
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,
2
0
0
0
.
.
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