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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
-
8776
IJ
-
I
C
T
Vo
l.
3
,
No
.
2
,
J
u
n
e
201
4
:
7
3
–
79
74
2.
RE
L
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s
o
r
s
.
DF
C
g
i
v
es
u
s
er
f
le
x
ib
ilit
y
to
ca
r
r
y
s
m
ar
tp
h
o
n
e
o
n
l
y
i
f
th
e
y
w
is
h
to
m
o
n
ito
r
p
h
y
s
ica
l
ac
tiv
it
y
in
r
ea
l
-
ti
m
e,
o
th
er
w
i
s
e
u
s
er
s
ca
n
j
u
s
t
ca
r
r
y
D
FC
to
ca
p
tu
r
e
an
d
s
to
r
e
d
ata
f
r
o
m
h
e
alth
an
d
f
it
n
es
s
s
en
s
o
r
s
.
I
n
[
6
]
,
a
p
r
o
to
ty
p
e
o
n
R
FID
an
d
s
en
s
o
r
n
et
w
o
r
k
s
f
o
r
eld
er
h
ea
lth
ca
r
e
is
p
r
ese
n
ted
.
T
h
e
R
FID
s
y
s
te
m
,
in
cl
u
d
i
n
g
a
r
ea
d
er
an
d
o
n
e
o
r
m
o
r
e
tag
s
ar
e
u
s
ed
t
o
tr
ac
k
th
e
eld
er
p
atien
t
w
h
o
n
ee
d
s
t
h
e
m
ed
icin
e
s
.
T
h
e
p
atien
t
w
ea
r
s
a
UHF
tag
t
h
at
m
a
y
b
e
d
etec
ted
b
y
t
h
e
as
s
o
ciate
d
R
FID
r
ea
d
er
w
it
h
i
n
3
-
6
m
e
ter
s
.
T
h
u
s
,
t
h
e
s
y
s
te
m
i
s
ab
le
to
d
eter
m
i
n
e
th
at
th
e
p
atien
t
i
s
i
n
th
e
v
ici
n
it
y
,
a
n
d
aler
ts
t
h
e
p
atie
n
t
to
tak
e
t
h
e
r
eq
u
ir
ed
m
ed
icin
e
s
v
ia
a
b
ee
p
s
o
u
n
d
o
r
a
b
lin
k
i
n
g
l
ig
h
t.
T
h
is
p
ap
er
p
r
esen
ts
a
s
o
lu
tio
n
f
o
r
d
ata
ac
q
u
is
itio
n
an
d
p
r
o
ce
s
s
in
g
tec
h
n
iq
u
es
i
m
p
le
m
e
n
ted
in
t
h
e
s
y
s
te
m
m
o
d
el
C
OHE
SY
,
w
h
i
ch
is
d
esig
n
ed
f
o
r
co
n
tin
u
o
u
s
h
ea
lth
ca
r
e
o
f
p
atien
t
s
.
C
OH
E
SYallo
w
s
u
s
er
s
to
p
er
f
o
r
m
th
eir
d
ail
y
o
b
lig
atio
n
s
(
w
o
r
k
,
w
a
lk
s
etc
.
)
,
s
o
w
id
e
r
an
g
e
o
f
p
atie
n
t
s
li
k
e:
w
o
r
k
i
n
g
ca
p
ab
le
p
eo
p
le,
ch
ild
r
en
a
n
d
eld
er
l
y
p
atien
ts
ca
n
u
s
e
it
w
i
th
ea
s
e
.
T
h
is
s
y
s
te
m
m
o
d
el
o
f
f
er
s
co
n
n
ec
tio
n
to
s
o
cial
n
et
w
o
r
k
co
n
s
is
ts
o
f
p
atien
t
s
w
it
h
s
i
m
il
ar
d
iag
n
o
s
is
,
u
s
es
co
llab
o
r
ativ
e
tech
n
iq
u
e
s
f
o
r
f
ilter
i
n
g
d
ata
f
r
o
m
in
f
o
r
m
atio
n
s
y
s
te
m
s
an
d
s
o
cial
n
et
w
o
r
k
,
a
n
d
s
en
d
s
n
o
ti
f
icatio
n
s
,
s
u
g
g
es
t
io
n
s
an
d
p
r
o
p
o
s
als
to
u
s
er
s
.
T
h
ese
c
h
ar
ac
ter
is
tics
d
is
tin
g
u
is
h
C
O
HE
SY a
n
d
m
a
k
e
it
m
o
r
e
co
m
p
r
eh
e
n
s
iv
e
t
h
a
n
o
th
er
s
y
s
te
m
s
.
3.
S
YST
E
M
ARCH
I
T
E
CT
U
R
E
–
G
E
NE
RA
L
O
V
E
RVI
E
W
C
o
llab
o
r
ativ
e
Hea
l
th
C
ar
e
S
y
s
te
m
Mo
d
el
(
C
OHE
SY)
[
7
]
allo
w
s
co
n
tin
u
o
u
s
r
ea
l
ti
m
e
m
o
n
ito
r
in
g
o
f
th
e
p
atie
n
t
’
s
co
n
d
itio
n
s
w
it
h
o
u
t
r
estrict
io
n
o
f
m
o
v
e
m
e
n
t
a
n
d
th
eir
d
ail
y
ac
ti
v
itie
s
.
I
ts
p
lat
f
o
r
m
i
s
d
esi
g
n
ed
to
allo
w
d
etec
tio
n
o
f
u
n
w
a
n
ted
r
esu
lt
s
a
n
d
ir
r
eg
u
lar
it
y
in
p
atie
n
t
m
o
v
e
m
e
n
ts
,
a
n
d
to
u
s
e
e
x
p
er
ien
ce
f
r
o
m
o
th
er
p
atien
ts
f
o
r
g
i
v
i
n
g
ap
p
r
o
p
r
iat
e
r
ec
o
m
m
e
n
d
atio
n
to
t
h
e
n
e
w
o
n
es.
T
h
e
s
y
s
te
m
co
n
s
is
t
s
o
f
a
W
B
A
N,
m
o
b
ile
d
ev
ice,
in
f
o
r
m
atio
n
s
y
s
te
m
s
,
a
n
d
s
o
cial
n
et
w
o
r
k
.
T
h
e
g
e
n
er
a
l a
r
ch
itect
u
r
e
is
s
h
o
w
n
i
n
F
i
g
u
r
e
1
.
Fig
u
r
e
1
.
Gen
er
al
ar
ch
itect
u
r
e
o
f
C
OHE
S
Y
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
I
C
T
I
SS
N:
2252
-
8776
C
o
n
tin
u
o
u
s
R
ea
l
-
Time
Mo
n
ito
r
in
g
…
(
Olivera
K
o
tev
s
ka
)
75
T
h
e
W
B
A
N
co
m
p
r
is
es
a
n
u
m
b
er
o
f
w
ir
eles
s
s
e
n
s
o
r
n
o
d
es
an
d
m
o
b
ile
d
ev
ice.
T
h
e
s
en
s
o
r
s
ar
e
d
is
tr
ib
u
ted
o
v
er
th
e
u
s
er
s
’
b
o
d
y
.
T
h
e
s
en
s
o
r
la
y
er
co
n
s
is
t
s
o
f
a
s
et
o
f
s
en
s
o
r
s
t
h
at
m
ea
s
u
r
e
th
e
p
atien
ts
’
v
ita
l
co
n
d
itio
n
s
a
n
d
a
n
y
r
elate
d
co
n
d
itio
n
s
,
li
k
e
m
o
t
io
n
a
n
d
te
m
p
er
atu
r
e.
A
lt
h
o
u
g
h
t
h
e
c
u
r
r
en
t
s
y
s
te
m
m
o
d
el
o
n
l
y
in
co
r
p
o
r
ates
th
e
s
e
s
e
n
s
o
r
s
,
o
th
er
t
y
p
es
o
f
s
en
s
o
r
s
li
k
e
E
E
G,
E
MG
o
r
b
lo
o
d
s
u
g
ar
lev
e
l
ca
n
ea
s
il
y
b
e
ad
d
ed
to
th
e
s
y
s
te
m
.
T
h
e
m
o
tio
n
s
e
n
s
o
r
ca
n
b
e
u
s
ed
f
o
r
m
o
n
ito
r
i
n
g
b
o
d
y
m
o
tio
n
s
an
d
g
est
u
r
e
r
ec
o
g
n
itio
n
,
w
h
i
ls
t
t
h
e
te
m
p
er
atu
r
e
s
e
n
s
o
r
ca
n
b
e
u
s
e
d
to
m
o
n
ito
r
b
o
d
y
te
m
p
er
at
u
r
e
o
r
th
e
tem
p
er
atu
r
e
o
f
th
e
a
m
b
ien
t
s
u
r
r
o
u
n
d
in
g
th
e
b
o
d
y
.
T
h
is
la
y
er
r
ec
eiv
es
s
ig
n
al
s
f
r
o
m
p
atie
n
t
s
e
n
s
o
r
s
(
t
r
an
s
f
o
r
m
s
a
n
alo
g
i
n
to
d
ig
ital)
,
an
d
s
en
d
s
d
ata
to
th
e
n
et
w
o
r
k
,
w
h
ic
h
f
o
r
w
ar
d
m
ea
s
u
r
ed
d
ata
to
th
e
m
o
b
ile
d
ev
ice.
Net
w
o
r
k
la
y
er
is
b
ased
o
n
Z
i
g
B
ee
.
T
h
e
m
ai
n
cr
iter
ia
w
h
y
w
e
c
h
o
o
s
e
Z
i
g
B
ee
p
r
o
to
co
l
[8
]
in
C
OHE
SY
ar
e
:
(
1
)
t
h
e
w
id
e
r
an
g
e
o
f
ac
ti
v
it
y
(
1
0
0
m
)
m
ak
es
it
p
o
s
s
ib
le
to
r
ec
eiv
e
d
ata
f
r
o
m
th
e
s
e
n
s
o
r
s
i
n
ca
s
e
w
h
en
th
e
m
o
b
ile
d
ev
ice
is
n
o
t
clo
s
e
to
th
e
u
s
er
;
(
2
)
th
e
a
m
o
u
n
t
o
f
d
ata
th
a
t
is
r
ea
d
f
r
o
m
t
h
e
s
e
n
s
o
r
s
i
s
s
m
al
l,
b
u
t
a
h
ig
h
-
s
p
ee
d
tr
an
s
m
is
s
io
n
(
2
5
0
k
b
it/s
)
allo
w
s
ti
m
el
y
ca
lc
u
latio
n
s
w
i
th
o
u
t
d
el
a
y
;
(
3
)
b
atter
y
l
if
e
last
s
f
o
r
m
o
n
t
h
s
(
4
-
6
m
o
u
n
ts
)
,
w
h
ic
h
is
ac
ce
p
tab
le
f
o
r
m
ed
ic
al
ap
p
licatio
n
s
.
T
h
e
m
o
b
ile
ap
p
licatio
n
m
o
n
it
o
r
s
th
e
co
n
d
itio
n
o
f
p
atie
n
t.
I
ts
f
u
n
ct
io
n
is
d
i
v
id
ed
in
to
t
w
o
s
u
b
la
y
er
s
:
ag
g
r
e
g
ato
r
la
y
er
an
d
lo
ca
l c
alc
u
lato
r
la
y
er
.
T
h
e
ag
g
r
e
g
ato
r
lay
er
is
d
iv
id
ed
to
th
r
ee
p
r
o
ce
s
s
es:
a.
C
o
llectio
n
:
co
llects
d
ata
f
r
o
m
s
en
s
o
r
s
,
i
n
clu
d
i
n
g
s
e
n
s
o
r
s
f
o
r
p
h
y
s
io
lo
g
ical
s
i
g
n
s
a
n
d
an
y
r
elate
d
s
en
s
o
r
s
lik
e
te
m
p
er
at
u
r
e,
p
o
s
itio
n
etc.
;
b.
Fil
ter
in
g
:
f
ilter
s
p
r
ev
io
u
s
l
y
co
l
lecte
d
d
ata
f
r
o
m
a
n
y
u
n
u
s
ed
(
n
o
is
e)
r
ec
eiv
ed
in
f
o
r
m
a
tio
n
;
c.
Data
s
h
o
u
ld
b
e
p
r
ep
ar
ed
f
o
r
p
r
o
ce
s
s
in
g
;
th
e
y
ar
e
s
ettled
in
p
r
ev
io
u
s
d
e
f
i
n
ed
f
o
r
m
at
a
n
d
f
o
r
w
ar
d
ed
to
th
e
ca
lcu
latio
n
la
y
er
.
L
o
ca
l
ca
lc
u
lato
r
la
y
er
a
n
al
y
ze
s
th
e
d
ata
a
n
d
r
ea
ch
e
s
co
n
cl
u
s
io
n
s
b
ased
o
n
p
r
ed
ef
i
n
ed
r
u
le
s
.
I
f
t
h
er
e
ar
e
u
n
s
ati
s
f
ac
to
r
y
r
es
u
lt
s
,
t
h
e
p
atien
t
w
i
ll
b
e
i
n
f
o
r
m
ed
b
y
n
o
tif
icat
io
n
/
w
ar
n
in
g
m
e
s
s
a
g
e
on
m
o
b
ile
d
e
v
ice
a
n
d
he
/s
h
e
w
il
l
r
ec
eiv
e
e
x
p
lan
at
io
n
i
n
f
o
r
m
a
tio
n
(
t
h
e
r
ea
s
o
n
f
o
r
n
o
tific
atio
n
o
r
r
ec
o
m
m
en
d
ati
o
n
)
.
I
f
th
e
r
es
u
lt
i
s
e
m
er
g
e
n
t
t
h
en
a
n
e
m
er
g
e
n
c
y
s
ig
n
a
l
w
ill
b
e
s
en
d
(
m
o
b
ile
ca
ll
o
r
SMS
)
to
r
elate
d
ca
r
e
o
r
m
ed
ical
p
er
s
o
n
n
el
to
d
ea
l
w
it
h
t
h
e
ev
e
n
t.
I
n
ca
s
e
w
h
er
e
lo
ca
l
ca
lcu
lat
io
n
s
ar
e
n
o
t
en
o
u
g
h
,
d
ata
is
s
e
n
t
to
a
clin
ical
ce
n
ter
f
o
r
ad
d
itio
n
al
ca
lc
u
latio
n
s
.
Af
ter
d
eter
m
in
i
n
g
p
r
o
ce
d
u
r
es
f
o
r
th
e
p
atien
t,
h
is
/h
er
d
ata
is
u
p
d
at
ed
an
d
th
e
r
esu
lt
i
s
s
en
t
to
p
atie
n
ts
’
m
o
b
ile
d
e
v
ice
.
I
n
t
h
e
p
r
o
ce
s
s
o
f
s
e
n
d
in
g
,
d
at
a
is
p
r
e
v
io
u
s
l
y
en
cr
y
p
ted
w
h
ic
h
p
r
o
d
u
ce
s
m
al
ler
d
ata
s
ize
an
d
en
er
g
y
e
f
f
icie
n
c
y
i
m
p
ac
t.
T
o
p
r
o
t
ec
t
th
e
p
r
iv
ac
y
an
d
co
n
f
id
e
n
tialit
y
o
f
th
e
u
s
er
s
’
i
n
f
o
r
m
atio
n
d
ata
is
s
en
t t
h
o
u
g
h
s
ec
u
r
ed
p
r
o
to
co
ls
.
T
h
e
in
f
o
r
m
atio
n
s
y
s
te
m
p
er
f
o
r
m
s
ca
lcu
la
tio
n
s
o
n
r
ec
ei
v
ed
d
ata
f
r
o
m
m
o
b
ile
ap
p
licatio
n
,
in
cl
u
d
in
g
f
i
n
d
d
ep
en
d
en
c
y
b
et
w
ee
n
m
e
asu
r
ed
s
e
n
s
o
r
d
ata,
(
e.
g
.
h
ea
r
t
r
ate
an
d
p
atien
t
m
o
v
e
m
e
n
ts
)
an
d
f
u
n
c
tio
n
s
th
at
r
eq
u
ir
e
m
o
r
e
r
eso
u
r
ce
s
li
k
e
m
e
m
o
r
y
o
r
p
r
o
ce
s
s
o
r
p
o
w
er
.
So
m
e
o
f
t
h
ese
o
p
er
atio
n
s
u
s
e
co
llab
o
r
ativ
e
f
i
lter
in
g
tech
n
iq
u
esa,
i
n
o
r
d
er
to
g
i
v
e
r
ec
o
m
m
e
n
d
atio
n
b
ased
o
n
k
n
o
w
led
g
e
f
r
o
m
o
t
h
er
p
atie
n
ts
,
ca
s
es
a
n
d
m
ed
ic
al
ex
p
er
ien
ce
.
T
h
e
ai
m
o
f
t
h
e
r
ec
o
m
m
e
n
d
atio
n
alg
o
r
it
h
m
i
s
to
d
is
co
v
er
w
h
ic
h
ac
ti
v
itie
s
a
f
f
ec
t
c
h
an
g
e
in
th
e
v
alu
e
o
f
ea
ch
h
ea
lt
h
p
ar
a
m
eter
in
d
iv
id
u
all
y
[
2
].
T
h
e
clin
ical
ce
n
ter
ca
n
b
e
v
ir
tu
all
y
a
n
y
w
h
er
e
i
n
t
h
e
w
o
r
ld
as
lo
n
g
a
s
it
i
s
r
ea
c
h
ab
le
f
r
o
m
th
e
I
n
te
r
n
et,
p
r
o
v
id
in
g
t
h
e
f
o
llo
w
i
n
g
p
u
r
p
o
s
es:
a.
T
o
co
m
m
u
n
icate
w
i
th
t
h
e
r
e
m
o
te
en
titi
es a
n
d
to
co
llect
th
e
d
ata
g
en
er
ated
b
y
t
h
eW
B
A
N
s
e
n
s
o
r
n
o
d
es
;
b.
O
nc
e
t
h
e
d
ata
co
llected
,
it
ca
n
b
e
s
to
r
ed
in
a
d
atab
ase
o
r
f
ile
s
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te
m
w
it
h
a
ce
r
tai
n
f
o
r
m
at,
o
r
it
ca
n
b
e
v
is
u
alize
d
an
d
d
is
p
la
y
ed
in
a
g
r
ap
h
ical
u
s
er
in
ter
f
ac
e,
o
r
d
is
p
lay
ed
as
w
eb
co
n
te
n
t
;
c.
I
n
T
h
e
ca
s
e
w
h
er
e
t
h
e
d
ata
i
s
s
to
r
ed
in
a
d
atab
ase/
f
ile
s
y
s
te
m
,
t
h
e
d
ata
ca
n
b
e
r
etr
iev
ed
lat
er
an
d
p
r
o
ce
s
s
ed
f
u
r
t
h
er
to
b
e
u
s
ed
b
y
au
th
o
r
ized
u
s
er
s
(
s
u
ch
as
d
o
cto
r
s
,
clin
icia
n
s
,
p
h
y
s
ic
ia
n
s
,
r
esear
ch
er
s
,
etc
.
)
f
o
r
p
u
r
p
o
s
es o
f
d
iag
n
o
s
is
,
r
esear
c
h
,
s
tatis
tic
s
an
d
s
o
f
o
r
t
h
.
T
h
e
s
o
cial
n
et
w
o
r
k
co
n
s
i
s
ts
o
f
p
atien
ts
w
i
th
d
i
f
f
er
en
t
d
ia
g
n
o
s
is
;
ea
c
h
o
f
t
h
e
m
h
as
a
p
r
o
f
ile
w
it
h
in
f
o
r
m
atio
n
ab
o
u
t
th
e
ir
p
er
s
o
n
al
c
h
ar
ac
ter
is
tic
s
,
d
ia
g
n
o
s
is
,
tr
ea
t
m
e
n
t
s
,
e
x
p
er
ien
ce
,
a
n
d
h
ab
its
.
T
h
e
s
o
cial
n
et
w
o
r
k
en
ab
le
s
co
llab
o
r
atio
n
b
et
w
ee
n
p
atie
n
ts
b
ased
o
n
co
llab
o
r
ativ
e
f
ilter
in
g
tec
h
n
iq
u
es,
th
u
s
co
n
n
ec
tin
g
u
s
er
s
w
i
th
t
h
e
s
a
m
e
o
r
s
i
m
i
lar
d
iag
n
o
s
es,
s
h
ar
i
n
g
t
h
eir
r
es
u
lt
s
an
d
ex
c
h
an
g
i
n
g
t
h
eir
o
p
in
io
n
s
ab
o
u
t
p
er
f
o
r
m
ed
ac
tiv
itie
s
or
r
ec
eiv
ed
th
er
ap
y
.
T
h
e
u
s
er
s
ca
n
also
r
ec
eiv
e
a
v
er
ag
e
r
es
u
lts
f
r
o
m
t
h
e
o
th
er
p
atien
ts
t
h
at
s
h
ar
e
s
a
m
e
co
n
d
itio
n
s
in
t
h
e
f
o
r
m
o
f
n
o
ti
f
icat
io
n
s
.
T
h
ese
n
o
tific
at
io
n
s
ca
n
v
ar
y
f
r
o
m
th
e
a
v
er
ag
e
lev
els
o
f
ce
r
tain
b
io
d
ata
ca
lcu
lated
f
o
r
ce
r
tain
g
eo
g
r
a
p
h
ical
r
eg
io
n
,
ag
e,
s
e
x
to
th
e
r
ec
o
m
m
e
n
d
atio
n
f
o
r
ce
r
tain
ac
tiv
i
t
y
b
ased
o
n
t
h
e
ac
ti
v
itie
s
o
f
o
th
er
u
s
er
s
.
C
o
llab
o
r
ativ
e
f
ilter
in
g
ca
n
b
e
u
s
ed
to
ac
h
ie
v
e
d
i
f
f
er
en
t
r
ec
o
m
m
e
n
d
atio
n
s
i
n
th
ese
co
n
te
x
t
s
[
2
]
.
R
ec
o
m
m
en
d
atio
n
f
r
o
m
s
o
cial
n
et
w
o
r
k
is
co
n
s
id
er
ed
as
t
h
e
s
ec
o
n
d
lev
el
o
f
r
ec
o
m
m
e
n
d
atio
n
; t
h
e
f
ir
s
t le
v
e
l is f
r
o
m
m
ed
ical
p
er
s
o
n
n
el.
P
o
licy
m
a
k
er
s
r
ec
ei
v
e
d
ata
f
r
o
m
s
o
cial
n
e
t
w
o
r
k
b
ased
o
n
f
ilter
cr
iter
a
.
P
o
lic
y
m
a
k
er
s
a
n
al
y
ze
d
ata
an
d
m
a
k
e
p
r
o
g
r
a
m
s
a
n
d
s
tr
ate
g
ies
f
o
r
p
r
ev
en
tio
n
o
f
s
p
ec
i
f
ic
h
ea
lt
h
co
n
d
itio
n
.
C
OHE
SY
s
y
s
te
m
m
o
d
el
ch
o
o
s
e
la
y
er
ar
c
h
itect
u
r
e
p
atter
n
[
9
]
,
f
o
r
th
is
r
ea
s
o
n
it
i
s
d
ec
o
m
p
o
s
ed
in
to
g
r
o
u
p
s
o
f
s
u
b
tas
k
s
i
n
w
h
ic
h
ea
ch
o
f
t
h
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m
i
s
at
a
p
ar
ticu
lar
l
ev
el
o
f
ab
s
tr
ac
tio
n
.
Sen
s
o
r
L
a
y
er
u
s
e
s
s
e
n
s
o
r
s
f
o
r
r
ea
d
in
g
v
i
tal
s
i
g
n
als
a
n
d
an
y
ad
d
itio
n
al
s
ig
n
als
.
Ne
t
w
o
r
k
la
y
er
is
b
ased
o
n
Z
i
g
B
ee
p
r
o
to
co
l
f
o
r
r
ec
eiv
in
g
d
ata
f
r
o
m
s
e
n
s
o
r
s
a
n
d
p
r
o
p
ag
ates
t
h
e
m
to
t
h
e
m
o
b
ile
d
e
v
ice.
T
h
is
la
y
er
is
a
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
-
8776
IJ
-
I
C
T
Vo
l.
3
,
No
.
2
,
J
u
n
e
201
4
:
7
3
–
79
76
m
o
b
ile
ap
p
licatio
n
w
h
ich
will
s
u
p
p
o
r
t
m
o
s
t
o
f
m
o
b
ile
p
latf
o
r
m
s
a
t
s
er
v
er
s
id
e;
cli
en
t
s
id
e
co
u
ld
b
e
i
m
p
le
m
en
ted
o
n
(
HT
ML
5
+
J
av
aScr
ip
t)
s
o
it
ca
n
b
e
u
s
ed
b
y
m
aj
o
r
ity
o
f
s
m
ar
tp
h
o
n
e
s
.
R
ec
eiv
ed
d
ata
f
r
o
m
s
en
s
o
r
s
co
u
ld
b
e
co
n
v
er
ted
in
J
SON
(
J
av
aScr
ip
t
Ob
j
ec
t
N
o
tatio
n
)
f
o
r
m
at.
W
e
p
r
o
p
o
s
ed
th
is
f
o
r
m
a
t
b
ec
au
s
e
it
is
co
m
p
ac
t,
s
i
m
p
le
a
n
d
h
as
f
a
s
ter
tr
an
s
m
is
s
io
n
(
tr
an
s
f
er
les
s
d
ata
)
.
I
t
h
as
p
r
ed
ef
in
ed
te
m
p
l
ate
w
h
er
e
s
o
m
e
o
f
d
ata
w
ill b
e
m
a
n
d
ato
r
y
w
h
ile
o
th
er
w
i
ll b
e
o
p
tio
n
al
,
allo
w
s
u
n
i
f
o
r
m
it
y
a
n
d
co
n
s
i
s
te
n
c
y
.
T
h
e
s
ec
u
r
it
y
asp
ec
t
s
in
c
lu
d
e
u
s
i
n
g
1
2
8
b
it
h
ash
en
cr
y
p
t
io
n
f
u
n
ctio
n
f
o
r
s
en
d
in
g
en
cr
y
p
t
ed
d
ata
t
o
th
e
cli
n
ical
ce
n
ter
s
a
n
d
s
o
c
i
al
n
et
w
o
r
k
s
.
T
h
is
t
y
p
e
o
f
e
n
cr
y
p
tio
n
ta
k
es
le
s
s
ti
m
e
t
h
an
o
th
er
en
cr
y
p
t
io
n
f
u
n
ctio
n
s
,
e
n
cr
y
p
t
io
n
lev
el
is
s
atis
f
ied
,
a
n
d
b
y
t
h
e
n
at
u
r
e
o
f
d
ata
it
i
s
s
u
f
f
icie
n
t.
I
n
f
o
r
m
atio
n
s
y
s
te
m
s
m
a
y
u
s
e
P
o
s
tg
r
eSQL
d
atab
ase
f
o
r
s
to
r
in
g
all
p
atie
n
t
d
ata,
in
cl
u
d
in
g
s
etti
n
g
s
,
m
ed
ical
h
is
to
r
y
a
n
d
d
iag
n
o
s
i
s
an
d
d
ail
y
ac
tiv
itie
s
.
T
h
is
d
atab
ase
is
a
n
o
p
en
s
o
u
r
ce
an
d
b
ased
o
n
f
e
atu
r
es
a
n
d
s
atis
f
ied
r
eq
u
ir
e
m
en
ts
o
f
th
is
s
y
s
te
m
m
o
d
el.
Data
s
to
r
ed
in
th
is
d
at
ab
ase
is
u
s
ed
f
o
r
f
u
r
th
er
a
n
al
y
s
is
b
y
r
esear
c
h
es.
Data
f
lo
w
d
iag
r
a
m
i
s
p
r
e
s
en
ted
in
n
e
x
t F
i
g
u
r
e
2
.
Fig
u
r
e
2
.
Data
f
lo
w
d
iag
r
a
m
4.
DATA P
RO
C
E
SS
I
N
G
T
h
e
f
ir
s
t
s
tep
o
f
d
ata
p
r
o
ce
s
s
in
g
is
d
ata
p
r
ep
r
o
ce
s
s
in
g
.
T
h
is
p
h
ase
in
cl
u
d
es
c
h
ec
k
in
g
wh
eth
er
t
h
e
r
ec
eiv
ed
d
ata
is
f
r
o
m
t
h
e
r
ig
h
t
s
en
s
o
r
B
A
N
n
et
w
o
r
k
a
n
d
i
f
t
h
a
y
ar
e
s
en
t
to
-
f
il
ter
in
g
.
T
h
e
r
esu
lt
s
o
f
t
h
i
s
p
h
as
e
ar
e
s
till
co
n
s
id
er
ed
as
r
a
w
s
e
n
s
o
r
d
ata
an
d
t
h
e
d
ata
i
s
s
e
n
t
to
th
e
f
o
llo
w
i
n
g
ca
lc
u
latio
n
s
.
T
h
e
n
ex
t
s
tep
i
s
d
ata
f
ilter
i
n
g
,
m
ea
n
i
n
g
r
e
m
o
v
i
n
g
t
h
e
n
o
is
e
f
r
o
m
t
h
e
r
ec
ei
v
ed
s
i
g
n
al
s
.
R
e
m
o
v
i
n
g
t
h
e
n
o
is
e
p
r
esen
t
in
t
h
e
s
ig
n
a
l
s
r
eq
u
ir
es
d
if
f
er
en
t
tech
n
iq
u
e
s
,
d
ep
en
d
in
g
o
n
t
h
eir
n
at
u
r
e.
Fo
r
th
is
p
u
r
p
o
s
e,
ca
n
b
e
ap
p
lied
t
w
o
t
y
p
e
s
o
f
f
ilter
i
n
g
:
1.
Fre
q
u
en
c
y
-
d
o
m
ai
n
f
ilter
i
n
g
is
ap
p
r
o
p
r
iate
w
h
e
n
t
h
e
s
i
g
n
al
s
ar
e
s
tat
ic
an
d
s
tatio
n
ar
y
n
o
i
s
e
is
a
p
r
o
ce
s
s
th
at
ap
p
ea
r
s
r
an
d
o
m
l
y
r
e
g
ar
d
les
s
o
f
t
h
e
s
i
g
n
al.
2.
A
d
ap
tiv
e
f
ilter
in
g
t
h
e
o
t
h
er
h
a
n
d
is
a
g
o
o
d
ch
o
ice
w
h
en
y
o
u
n
ee
d
to
r
e
m
o
v
e
n
o
i
s
e
ca
u
s
ed
b
y
m
o
v
e
m
e
n
t
[
1
0
]
.
W
h
ich
f
ilter
to
b
e
ch
o
s
en
b
asicall
y
d
ep
en
d
s
o
n
f
ilter
s
’
s
u
i
tab
ilit
y
f
o
r
its
ap
p
licatio
n
.
P
ar
ticu
lar
l
y
f
ilter
s
’
i
m
p
ac
t o
n
t
h
e
r
e
m
o
v
al
o
f
all
u
n
n
ec
e
s
s
ar
y
s
i
g
n
a
ls
t
h
at
af
f
ec
t th
e
o
r
ig
in
ali
t
y
o
f
th
e
s
ig
n
al.
Sin
ce
t
h
er
e
is
a
p
o
s
s
ib
ilit
y
o
f
n
o
is
e
,
w
it
h
i
n
t
h
e
p
r
o
p
o
s
ed
s
y
s
te
m
m
o
d
el
,
ca
u
s
ed
b
y
m
o
v
e
m
en
t
o
f
t
h
e
p
atien
t,
t
h
e
g
o
al
i
s
to
en
s
u
r
e
th
e
s
m
o
o
th
ex
ec
u
tio
n
o
f
d
ai
l
y
p
h
y
s
ical
ac
tiv
ities
o
f
th
e
p
atien
t
(
e.
g
.
r
u
n
n
in
g
,
d
r
iv
in
g
)
.
On
e
w
a
y
to
eli
m
in
a
te
th
is
t
y
p
e
o
f
n
o
is
e
is
t
h
e
u
s
e
o
f
an
ad
ap
tiv
e
f
ilter
.F
o
r
ex
a
m
p
le
,
ca
n
b
e
u
s
ed
No
r
m
a
lized
L
ea
s
t
m
ea
n
s
q
u
a
r
e
alg
o
r
ith
m
,
w
h
ic
h
g
i
v
es
b
e
tter
r
esu
lt
s
f
o
r
th
e
p
er
f
o
r
m
a
n
ce
o
f
L
ea
s
t
m
ea
n
sq
u
ar
e
alg
o
r
it
h
m
[
1
1
]
.
W
h
ile
r
e
m
o
v
i
n
g
th
e
n
o
is
e
ca
u
s
ed
b
y
th
e
e
x
ter
n
al
e
n
v
ir
o
n
m
e
n
t,
s
u
ch
as
w
i
n
d
,
ca
n
b
e
u
s
ed
b
a
n
d
-
r
ej
ec
t
f
i
lter
[
1
1
]
.
Oth
er
f
ilter
s
f
o
r
n
o
is
e
r
e
m
o
v
a
l
th
a
t
ca
n
b
e
u
s
ed
ar
e
t
h
e
tec
h
u
q
u
es
f
r
o
m
n
eu
r
al
n
et
w
o
r
k
s
,
s
u
c
h
as
:
m
o
v
in
g
av
er
ag
e
f
ilter
i
n
g
,
lo
ca
l
r
eg
r
ess
io
n
f
ilter
i
n
g
,
Sav
itz
k
y
-
Go
la
y
f
il
ter
an
d
Ham
m
i
n
g
w
i
n
d
o
w
f
ilter
i
n
g
[
1
2
]
.
T
h
e
co
m
p
ar
at
io
n
o
f
th
e
ti
m
e
o
f
e
x
ec
u
tio
n
o
f
t
h
e
p
r
ev
io
u
s
l
y
m
e
n
tio
n
ed
alg
o
tih
t
m
s
an
d
n
eu
r
al
n
et
w
o
r
k
tec
h
n
iq
u
es
h
a
s
s
h
o
w
n
th
at
th
e
m
o
s
t
ti
m
e
c
o
n
s
u
m
i
n
g
i
s
lo
ca
l
r
eg
r
es
s
io
n
f
il
ter
[
1
2
]
.
An
o
th
er
ap
p
r
o
ac
h
f
o
r
s
y
s
te
m
s
th
a
t
h
a
v
e
a
f
u
s
io
n
o
f
d
if
f
er
e
n
t
s
en
s
o
r
d
ata
is
to
us
e
o
t
h
er
m
eth
o
d
s
an
d
al
g
o
r
ith
m
s
in
cl
u
d
in
g
:
Kal
m
a
n
f
i
lter
,
B
ay
esia
n
n
e
t
w
o
r
k
s
,
a
n
d
De
m
p
s
ter
-
S
h
af
er
[
1
3
]
.
T
h
e
im
p
le
m
en
tatio
n
o
f
f
ilter
in
g
alg
o
r
ith
m
s
at
th
e
m
o
b
ile
d
ev
i
ce
is
i
m
p
o
r
tan
t
b
ec
au
s
e
o
f
th
e
w
a
y
t
h
e
d
ata
is
s
en
t
o
v
er
th
e
n
et
w
o
r
k
.
T
h
e
s
en
d
d
ata
ar
e
s
m
aller
i
n
s
ize,
so
w
h
en
t
h
e
co
m
p
r
e
s
s
io
n
al
g
o
r
ith
m
is
ap
lied
,
it
is
co
m
p
letel
y
m
i
n
i
m
ized
i
n
t
h
eir
s
iz
e
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
I
C
T
I
SS
N:
2252
-
8776
C
o
n
tin
u
o
u
s
R
ea
l
-
Time
Mo
n
ito
r
in
g
…
(
Olivera
K
o
tev
s
ka
)
77
[
1
4
]
.
T
h
e
f
o
llo
w
in
g
F
i
g
u
r
e
3
r
ep
r
esen
ts
t
h
e
p
r
o
ce
s
s
o
f
r
ec
eiv
in
g
d
ata
f
r
o
m
s
e
n
s
o
r
s
,
p
r
o
ce
s
s
i
n
g
a
n
d
tr
an
s
f
er
to
ex
ter
n
al
s
y
s
te
m
s
.
Fig
u
r
e
3
.
Dis
p
la
y
o
f
p
r
o
ce
s
s
es
r
u
n
n
in
g
o
n
s
en
s
o
r
d
ata
T
h
e
n
ex
t
s
ta
g
e
i
s
d
ata
v
er
if
ica
tio
n
,
g
e
n
er
aliza
tio
n
a
n
d
ad
d
itio
n
al
d
ata
ca
lc
u
latio
n
s
.
T
h
is
p
h
ase
is
t
h
e
f
i
n
al
p
h
ase
o
f
th
e
lo
ca
l
p
r
o
ce
s
s
in
g
o
f
d
ata
[
1
5
]
.
T
h
e
s
tate
o
f
d
ata
p
r
o
ce
s
s
in
g
lev
el
ai
m
s
to
f
o
r
m
alize
a
n
d
g
iv
e
co
n
clu
s
io
n
ab
o
u
t
th
e
r
ea
l
s
it
u
atio
n
o
f
t
h
e
p
atie
n
t.
I
f
th
e
r
esu
lt
s
ar
e
o
u
t
s
id
e
th
e
allo
w
ab
l
e
r
an
g
e
f
o
r
p
atien
t
r
ep
o
r
ts
,
th
e
p
atien
t
r
ec
ei
v
es
i
n
s
tr
u
ctio
n
s
f
o
r
th
e
n
ex
t
s
tep
s
h
e/s
h
e
s
h
o
u
ld
tak
e
.
I
n
ca
s
e
wh
er
e
th
e
r
e
s
u
l
ts
ar
e
cr
itical
t
h
en
in
f
o
r
m
a
tio
n
m
e
s
s
ag
e
is
s
e
n
t
to
th
e
r
esp
o
n
s
ib
l
e
m
ed
ical
s
ta
f
f
a
n
d
t
h
e
p
atie
n
t.
I
f
t
h
e
r
es
u
lt
s
ar
e
r
ig
h
t
t
h
e
n
th
e
p
atie
n
t
g
et
s
a
p
o
s
iti
v
e
m
e
s
s
a
g
e
ab
o
u
t
h
i
s
co
n
d
i
tio
n
an
d
ca
n
r
es
u
m
e
p
r
ev
io
u
s
ac
tiv
itie
s
,
d
iet
an
d
lif
e.
I
m
p
o
r
tan
t a
s
p
ec
t
s
i
n
t
h
is
k
in
d
o
f
s
y
s
te
m
s
ar
e
ti
m
el
y
tr
a
n
s
m
i
s
s
io
n
o
f
d
ata
a
n
d
t
y
p
e
o
f
d
ata
t
h
at
s
h
o
u
ld
b
e
tr
an
s
f
er
r
ed
,
w
h
ic
h
h
a
s
a
v
er
y
i
m
p
o
r
ta
n
t
r
o
le
in
d
eter
m
i
n
in
g
t
h
e
s
tr
ateg
y
to
b
e
u
s
ed
in
ca
s
e
o
f
d
elay
.
A
cc
o
r
d
in
g
to
w
h
et
h
er
th
e
n
at
u
r
e
o
f
th
e
s
i
g
n
a
ls
is
a
co
n
tin
u
o
u
s
tr
an
s
m
i
s
s
io
n
o
r
n
o
t,
th
e
y
ca
n
b
e
d
iv
id
ed
in
to
:
1.
W
av
y
-
d
ep
en
d
e
n
t
d
ata
r
eq
u
i
r
es
n
o
n
co
n
t
in
u
o
u
s
d
ata
tr
a
n
s
f
er
.
A
s
a
r
es
u
lt,
t
h
e
tr
an
s
m
i
s
s
io
n
o
f
d
ata
ca
n
lead
o
n
l
y
w
h
e
n
d
ata
is
r
e
q
u
e
s
t
ed
f
r
o
m
t
h
e
s
id
e
o
r
p
er
io
d
ic
m
o
n
ito
r
in
g
.
2.
W
av
y
-
in
d
ep
en
d
e
n
t
d
atar
eq
u
ir
e
co
n
tin
u
o
u
s
tr
an
s
m
i
s
s
io
n
o
f
d
ata
f
o
r
lo
n
g
p
er
io
d
s
o
f
ti
m
e,
esp
ec
iall
y
i
n
cr
iti
ca
l a
n
d
e
m
er
g
en
c
y
s
it
u
ati
o
n
s
[
1
6
]
.
Dep
en
d
in
g
o
n
t
h
e
f
r
eq
u
e
n
c
y
o
f
d
ata
tr
an
s
f
er
,
p
r
o
p
o
r
tio
n
al
is
th
e
e
n
er
g
y
co
n
s
u
m
p
tio
n
o
f
t
h
e
m
o
b
il
e
d
ev
ice
.
T
h
ese
ar
e
s
o
m
e
p
r
o
m
i
n
en
t
ca
u
s
es
o
f
e
n
er
g
y
w
a
s
tag
e
i
n
w
ir
ele
s
s
n
et
w
o
r
k
s
:
r
etr
an
s
m
is
s
io
n
o
f
lo
s
t
p
ac
k
ets,
r
elo
ad
(
o
v
er
h
ea
r
in
g
)
,
id
le
lis
ten
in
g
(
id
le
lis
ten
i
n
g
)
an
d
r
e
-
b
r
o
ad
ca
s
t
(
o
v
er
em
itti
n
g
)
.
I
n
m
ed
ical
ap
p
licatio
n
s
,
h
o
w
e
v
er
,
r
ec
o
v
e
r
y
o
f
lo
s
t
p
ac
k
et
s
t
h
r
o
u
g
h
r
etr
an
s
m
i
s
s
io
n
is
n
o
t
n
ec
es
s
ar
y
,
b
ec
au
s
e
h
ea
lt
h
d
ata
m
u
s
t
b
e
in
r
ea
l
ti
m
e.
An
y
p
ac
k
et
lo
s
s
m
u
s
t
b
e
r
ep
lace
d
w
it
h
th
e
latest
u
p
d
ate
o
n
th
e
s
it
u
ati
o
n
.
R
etr
an
s
m
is
s
io
n
o
f
p
ac
k
ets
al
s
o
r
eq
u
ir
es
m
o
r
e
m
e
m
o
r
y
to
s
to
r
e
n
o
d
es,
w
h
ic
h
is
u
s
u
all
y
li
m
ited
i
n
s
ize.
Dat
a
r
ec
eiv
ed
f
r
o
m
t
h
e
s
en
s
o
r
s
m
a
y
h
a
v
e
b
ee
n
d
a
m
a
g
e
,
s
o
th
e
f
o
llo
w
i
n
g
ap
p
r
o
ac
h
es
ca
n
b
e
ex
ec
u
ted
:
to
ac
ce
p
t th
e
f
ac
t
,
r
e
m
o
v
e
an
d
w
ait
f
o
r
th
e
n
ex
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p
tab
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f
m
ea
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t
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m
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s
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l
l
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k
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y
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h
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T
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1
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IJ
-
I
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Vo
l.
3
,
No
.
2
,
J
u
n
e
201
4
:
7
3
–
79
78
u
s
ed
[
1
7
]
.
Ma
d
e
im
p
r
o
v
e
m
en
t
s
to
th
e
s
e
alg
o
r
it
h
m
s
ar
e
tailo
r
ed
to
p
r
o
v
id
e
th
e
o
p
tim
a
l so
l
u
t
io
n
f
o
r
a
p
ar
ticu
lar
p
r
o
b
lem
.
F
o
r
ex
a
m
p
le
,
in
s
y
s
te
m
s
in
ten
d
ed
f
o
r
m
ed
ical
p
r
o
tectio
n
d
if
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er
e
n
t
t
y
p
e
s
a
n
d
f
o
r
m
a
t
o
f
d
ata
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e
r
ec
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ed
an
d
s
en
d
.
So
,
a
d
y
n
a
m
ic
co
m
p
r
es
s
io
n
t
h
at
w
ill
ad
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u
s
t
d
ep
en
d
in
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o
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th
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t
y
p
e
o
f
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ata
s
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o
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ld
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m
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le
m
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ted
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h
is
t
y
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e
o
f
al
g
o
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ith
m
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t
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s
eq
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ce
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to
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lo
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d
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ch
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lo
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s
ed
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n
o
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tim
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l
s
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h
e
m
e
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o
m
p
ar
ed
w
i
th
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r
ev
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u
s
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lg
o
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it
h
m
s
t
h
i
s
o
n
e
g
i
v
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th
e
b
est
r
es
u
lt
s
[
1
5
]
.
I
n
t
h
e
s
y
s
te
m
m
o
d
el
p
r
o
p
o
s
ed
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Z
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7
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g
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to
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test
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5.
CO
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SI
O
N
T
h
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p
ap
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m
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d
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tio
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it
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t
h
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o
d
y
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.
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ts
b
atter
y
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f
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f
f
e
w
m
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t
h
s
eli
m
i
n
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t
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y
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m
e
n
t
s
o
r
r
ec
h
ar
g
es.
T
h
ese
c
h
ar
ac
ter
is
tic
s
allo
w
th
e
p
atie
n
t
f
le
x
ib
ilit
y
i
n
m
o
v
e
m
e
n
t
a
n
d
e
v
er
y
d
a
y
ac
ti
v
ities
.
T
h
e
m
ai
n
aid
is
ti
m
el
y
d
etec
tio
n
o
f
ad
v
er
s
e
o
u
tco
m
es i
n
o
r
d
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to
tak
e
p
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ev
en
ti
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m
ea
s
u
r
e
s
.
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n
th
is
p
ap
er
ar
e
p
r
esen
ted
t
w
o
w
a
y
s
o
f
e
n
er
g
y
e
f
f
icie
n
ci
es:
u
s
i
n
g
th
e
m
ec
h
a
n
is
m
s
to
r
ed
u
ce
th
e
tr
af
f
ic
an
d
d
ata
en
cr
y
p
tio
n
b
ef
o
r
e
s
en
d
i
n
g
t
h
r
o
u
g
h
I
n
ter
n
e
t.
Fo
r
r
ed
u
cin
g
t
h
e
tr
af
f
ic
b
et
wee
n
th
e
s
en
s
o
r
s
an
d
th
e
m
o
b
ile
d
ev
ice
is
n
ec
e
s
s
ar
y
to
m
ak
e
an
a
n
al
y
s
i
s
o
f
th
e
n
atu
r
e
o
f
t
h
e
p
r
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p
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s
ed
b
io
s
ig
n
als
.
I
f
t
h
e
s
ig
n
al
i
s
v
ital
t
h
e
n
th
e
f
r
eq
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e
n
c
y
o
f
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d
in
g
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s
v
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y
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m
m
o
n
a
n
d
on
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o
th
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s
e
o
f
s
i
g
n
als
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ea
d
in
g
s
ar
e
p
er
f
o
r
m
ed
at
r
eg
u
lar
i
n
ter
v
als
th
a
t
ar
e
p
r
ed
ef
in
ed
.
T
o
r
ed
u
ce
tr
af
f
ic
b
e
t
w
ee
n
t
h
e
m
o
b
ile
d
ev
ice
a
n
d
r
e
m
o
te
(
cli
n
ical)
ce
n
ter
s
f
ilter
i
n
g
al
g
o
r
ith
m
s
ar
e
p
r
o
p
o
s
ed
.
T
h
ese
alg
o
r
ih
m
s
r
ed
u
ce
an
d
el
i
m
in
ate
u
n
n
ec
ess
ar
y
i
n
f
o
r
m
atio
n
,
u
s
e
co
m
p
r
es
s
io
n
tech
n
iq
u
e
s
t
h
at
a
f
f
ec
t
t
h
e
r
es
u
lt
o
f
th
e
r
ed
u
ctio
n
o
f
tr
af
f
ic
co
n
g
es
tio
n
a
n
d
t
h
u
s
m
in
i
m
ize
e
n
er
g
y
co
n
s
u
m
p
tio
n
o
n
m
o
b
ile
d
ev
ic
es a
n
d
s
e
n
s
o
r
s
.
T
h
e
m
o
d
el
r
ep
r
esen
ts
a
s
u
cc
e
s
s
f
u
l
f
ir
s
t
s
tep
to
w
ar
d
s
th
e
i
m
p
r
o
v
e
m
en
t
o
f
t
h
e
q
u
alit
y
o
f
p
atien
t
ca
r
e.
Fu
t
u
r
e
ai
m
o
f
C
O
HE
SY
w
ill
b
e
to
m
a
k
e
p
r
ac
tical
test
s
in
d
if
f
er
en
t
e
n
v
ir
o
n
m
e
n
t
s
an
d
ca
s
es
.
T
h
ese
r
esu
lt
s
co
u
ld
b
e
u
s
ed
f
o
r
i
m
p
r
o
v
i
n
g
t
h
e
d
esig
n
,
p
er
f
o
r
m
a
n
ce
an
d
o
p
ti
m
izatio
n
,
s
o
th
at
C
OHE
S
Y
ca
n
b
e
ex
p
an
d
ed
to
b
ec
o
m
e
e
f
f
icien
t
m
o
n
ito
r
an
d
co
n
tr
o
l h
ea
lt
h
ca
r
e
s
y
s
te
m
i
n
t
h
e
f
u
t
u
r
e.
RE
F
E
R
E
NC
E
S
[1
]
Ay
a
k
o
H,
M
a
sa
a
k
i
K.
“
P
o
siti
v
e
UX
a
n
d
A
c
ti
v
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Us
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o
f
IC
T
De
v
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s
a
m
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th
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El
d
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rl
y
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In
tern
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ti
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a
l
Jo
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l
o
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In
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o
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a
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d
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o
mm
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n
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ti
o
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e
c
h
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o
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(
IJ
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ICT
)
,
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l
.
2
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No
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1
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p
p
.
3
1
-
3
7
,
Ja
n
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ry
2
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3
.
[2
]
V
lah
u
-
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jo
rg
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sk
a
E
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T
ra
jk
o
v
ik
V
.
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P
e
rso
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a
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lt
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a
re
S
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ste
m
M
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u
sin
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Co
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lab
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ra
ti
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F
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c
h
n
iq
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s
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Ad
v
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n
In
f
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rm
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c
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s a
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rv
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ien
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e
s,A
ICIT
,
Vo
l.
3
,
No
.
3
,
p
p
.
6
4
-
7
4
,
2
0
1
1
.
[3
]
G
a
d
d
i
B
.
Ne
tan
e
l
A
.
Ro
n
K
.
Bo
ris
R
.“
C
-
S
M
A
RT
:
E
ff
icie
n
tS
e
a
m
le
ss
Ce
ll
u
lar
P
h
o
n
e
Ba
se
d
P
a
t
ien
t
M
o
n
it
o
r
in
g
S
y
st
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m
”
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IEE
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In
ter
n
a
ti
o
n
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l
S
y
mp
o
siu
m
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a
W
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f
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les
s,
M
o
b
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e
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M
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lt
ime
d
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Ne
two
rk
s
(
W
o
W
M
o
M
)
,
20
-
2
4
J
u
n
e
2
0
1
1
.
[4
]
M
e
i
-
Yu
W
,
W
e
n
-
Ye
n
H
.“
W
S
N
-
b
a
se
d
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h
Ca
re
M
a
n
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g
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m
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In
stit
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s
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u
rn
a
l
o
f
Co
n
v
e
rg
e
n
c
e
In
f
o
rm
a
t
io
n
T
e
c
h
n
o
lo
g
y
,
V
o
l
.
7
,
No
.
7
,
A
p
ri
l
2
0
1
2
.
[5
]
G
u
p
ta
N
,
Ji
ll
a
S
.“
Dig
it
a
l
F
it
n
e
ss
Co
n
n
e
c
t
o
r:
S
m
a
rt
Wea
ra
b
le
S
y
st
e
m
,
In
f
o
r
m
a
ti
c
s
a
n
d
Co
m
p
u
tatio
n
a
l
In
telli
g
e
n
c
e
”
,
2
0
1
1
F
irst I
n
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
,
p
p
.
1
1
8
–
1
2
1
,
1
2
-
1
4
De
c
e
m
b
e
r
2
0
1
1
.
[6
]
Ho
L
,
M
o
h
M
,
W
a
lk
e
r
Z
,
Ha
m
a
d
a
T
,
S
u
C.
F
.
“
A
p
ro
to
ty
p
e
o
n
RF
ID
a
n
d
se
n
s
o
rn
e
tw
o
rk
s
f
o
r
e
ld
e
r
h
e
a
lt
h
c
a
r
e”,
p
ro
g
re
ss
re
p
o
rt,i
n
Pro
c
e
e
d
in
g
s
o
f
ACM
S
IGCO
M
M
W
o
rk
sh
o
p
o
n
Exp
e
rime
n
ta
l
A
p
p
r
o
a
c
h
e
s
to
W
ire
les
s
Ne
two
rk
De
sig
n
a
n
d
An
a
lys
is
,
p
p
.
7
0
–
7
5
,
2
0
0
5
.
[7
]
Ko
tev
sk
a
O,
V
lah
u
-
G
jo
rg
iev
s
k
a
E,
T
ra
jk
o
v
i
c
V
,
Ko
c
e
sk
i
S
.“
T
o
wa
rd
s
a
P
a
ti
e
n
t
-
Ce
n
tere
d
Co
ll
a
b
o
ra
t
iv
e
He
a
lt
h
Ca
re
S
y
st
e
m
M
o
d
e
l
,”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Co
mp
u
ter
T
h
e
o
ry
a
n
d
En
g
in
e
e
rin
g
–
IJ
CT
E
,
V
o
l
4
,
N
o
.
6
,
p
p
.
1
0
2
5
-
1
0
2
9
,
2
0
1
2
.
[8
]
M
e
n
g
J,
Zh
o
n
g
q
in
L
.
“
A
p
p
li
c
a
ti
o
n
o
f
Zi
g
b
e
e
in
S
m
a
rt
Ho
m
e
w
it
h
Dy
n
a
m
ic
Ro
u
ti
n
g
A
lg
o
rit
h
m
”
,
T
EL
KOM
NIKA
In
d
o
n
e
sia
n
J
o
u
rn
a
l
o
f
El
e
c
trica
l
En
g
i
n
e
e
rin
g
,
V
o
l.
1
2
,
N
o
.
1
,
p
p
.
3
4
4
-
3
5
2
,
Ja
n
u
a
ry
2
0
1
4
.
[9
]
F
ra
n
k
B,
Re
g
in
e
M
,
Ha
n
s
R,
P
e
t
e
r
S
,
M
ich
a
e
lS
,
M
ich
a
e
l
S
.“
P
a
tt
e
rn
-
Orie
n
ted
S
o
f
tw
a
r
e
A
rc
h
it
e
c
tu
re
V
o
l
u
m
e
1
:
A
S
y
st
e
m
o
f
P
a
tt
e
rn
s
”
,
J
o
h
n
W
il
e
y
&
S
o
n
s,
In
c
.
,
1
9
9
6
.
[1
0
]
Be
sto
o
n
T
.
Hu
ss
a
in
Ja
ff
In
stit
u
ti
o
n
e
n
,
M
a
ste
r
th
e
sis
"
A
W
irele
s
s
Bo
d
y
A
re
a
Ne
t
w
o
rk
S
y
st
e
m
fo
r
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o
n
i
to
ri
n
g
P
h
y
sic
a
l
A
c
ti
v
it
ies
a
n
d
He
a
lt
h
-
S
tatu
s
v
ia
th
e
In
tern
e
t"
,
F
a
c
u
lt
y
o
f
In
f
o
rm
a
ti
o
n
T
e
c
h
n
o
lo
g
y
a
t
Up
p
sa
la
Un
iv
e
rsit
y
,
M
a
rc
h
2
0
0
9
.
[1
1
]
W
a
n
-
Yo
u
n
g
C.
“
P
h
D
-
Ub
i
q
u
it
o
u
s
h
e
a
lt
h
c
a
re
s
y
ste
m
b
a
s
e
d
o
n
a
W
S
N”
,
F
a
c
u
lt
y
o
f
T
e
c
h
n
o
l
o
g
y
,
Un
i
v
e
rsit
y
o
f
Ou
lu
,
L
in
n
a
n
m
a
a
,
F
in
lan
d
,
2
0
0
9
.
[1
2
]
W
ip
h
a
d
a
W
,
Na
sith
L
,
S
a
li
n
la
C.
“
Da
ta
F
il
terin
g
T
e
c
h
n
iq
u
e
f
o
r
N
e
u
ra
l
Ne
tw
o
rk
s
F
o
re
c
a
stin
g
”
,
Pro
c
e
e
d
in
g
s
o
f
th
e
7
th
W
S
EA
S
In
ter
n
a
ti
o
n
a
l
C
o
n
fer
e
n
c
e
o
n
S
im
u
la
t
io
n
,
M
o
d
e
ll
in
g
a
n
d
Op
ti
miza
t
io
n
,
Be
ij
i
n
g
,
C
h
in
a
,
1
5
-
17
S
e
p
tem
b
e
r
,
2
0
0
7
.
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
I
C
T
I
SS
N:
2252
-
8776
C
o
n
tin
u
o
u
s
R
ea
l
-
Time
Mo
n
ito
r
in
g
…
(
Olivera
K
o
tev
s
ka
)
79
[1
3
]
M
o
h
a
m
m
a
d
S
,
M
o
h
e
b
b
i
N.
“
A
Co
m
p
a
ra
ti
v
e
S
tu
d
y
o
f
Di
ff
e
r
e
n
t
Ka
l
m
a
n
F
il
terin
g
M
e
th
o
d
s
in
M
u
lt
i
S
e
n
so
r
Da
ta
F
u
sio
n
”
,
Pro
c
e
e
d
in
g
s
o
f
t
h
e
In
t
e
rn
a
ti
o
n
a
l
M
u
lt
iCo
n
fer
e
n
c
e
o
f
En
g
i
n
e
e
rs
a
n
d
C
o
mp
u
ter
S
c
ien
t
ists
2
0
0
9
,
V
o
l
.
.
I
IM
ECS
,
1
8
–
20
M
a
rc
h
,
H
o
n
g
Ko
n
g
,
2
0
0
9
.
[1
4
]
Iq
b
a
l
M
,
A
rc
h
a
n
M
,
M
a
ria
E,
W
il
li
a
m
J.
“
H
A
RM
ON
I:
Co
n
tex
t
-
a
wa
re
F
il
terin
g
o
f
S
e
n
so
r
Da
ta
f
o
r
Co
n
ti
n
u
o
u
s
Re
m
o
te
He
a
lt
h
M
o
n
it
o
ri
n
g
”
,
In
p
ro
c
e
e
d
in
g
o
f:
S
ixth
An
n
u
a
l
IEE
E
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
Per
v
a
siv
e
Co
mp
u
t
in
g
a
n
d
Co
mm
u
n
ica
ti
o
n
s
(
Per
Co
m 2
0
0
8
)
,
p
p
.
2
4
8
-
2
5
1
,
17
-
2
1
M
a
rc
h
,
Ho
n
g
Ko
n
g
2
0
0
8
.
[1
5
]
M
a
rio
Di
F
,
S
a
jal
K.
Da
s,
G
iu
se
p
p
e
A
.
“
Da
ta
Co
ll
e
c
ti
o
n
in
W
irele
ss
S
e
n
so
r
Ne
tw
o
rk
s
w
it
h
M
o
b
i
le
El
e
m
e
n
ts:
A
S
u
rv
e
y
“
,
ACM
T
ra
n
sa
c
ti
o
n
s
o
n
S
e
n
so
r Ne
two
rk
s
,
V
o
l.
8
,
No
.
7
,
Au
g
u
st 2
0
1
1
.
[1
6
]
A
n
d
re
y
B.
“
P
h
D
-
Co
n
tex
t
Re
a
so
n
in
g
,
C
o
n
tex
t
P
re
d
icti
o
n
a
n
d
P
r
o
a
c
ti
v
e
A
d
a
p
tatio
n
in
P
e
rv
a
siv
e
Co
m
p
u
ti
n
g
S
y
st
e
m
s
A
n
d
re
y
”
,
De
p
a
rtme
n
t
o
f
Co
m
p
u
ter
S
c
ie
n
c
e
,
El
e
c
trica
l
a
n
d
S
p
a
c
e
E
n
g
i
n
e
e
rin
g
,
L
u
leå
Un
iv
e
rsit
y
o
f
T
e
c
h
n
o
lo
g
y
,
S
w
e
d
e
n
,
Ju
n
e
2
0
1
1
.
[1
7
]
Ba
rr
K
.
C,
A
sa
n
o
v
ić
K.
“
E
n
e
rg
y
-
a
wa
re
lo
ss
les
s
d
a
ta
c
o
m
p
re
ss
io
n
,
”
ACM
T
ra
n
s
a
c
ti
o
n
s
o
n
C
o
mp
u
te
r
S
y
ste
ms
,
V
o
l
.
2
4
,
N
o
.
3
,
p
p
.
2
5
0
–
2
9
1
,
A
u
g
u
st
2
0
0
6
.
BI
O
G
RAP
H
I
E
S
O
F
AUTH
O
RS
O.
Ko
tev
sk
a
re
c
e
iv
e
d
th
e
M
S
c
d
e
g
re
e
a
t
th
e
F
a
c
u
lt
y
of
Co
m
p
u
ter
S
c
ien
c
e
a
n
d
E
n
g
in
e
e
rin
g
a
t
t
h
e
Un
iv
e
rsit
y
“
S
s
C
y
ril
a
n
d
M
e
th
o
d
i
u
s”
in
S
k
o
p
je.
He
r
re
se
a
rc
h
is
in
th
e
f
ield
o
f
in
telli
g
e
n
t
in
f
o
rm
a
ti
o
n
s
y
ste
m
s
f
o
r
h
e
a
lt
h
c
a
re
a
n
d
w
irele
ss
se
n
so
rs n
e
tw
o
rk
s.
E.
V
la
h
u
-
G
jo
rg
iev
sk
a
,
P
h
D
,
is
a
n
A
ss
ist
a
n
t
P
r
o
f
e
ss
o
r
a
t
th
e
F
a
c
u
lt
y
o
f
a
d
m
in
istratio
n
a
n
d
in
f
o
rm
a
ti
o
n
s
y
ste
m
s
m
a
n
a
g
e
m
e
n
t
a
t
th
e
Un
iv
e
rsit
y
“
S
t.
Klime
n
tOh
rid
sk
i”
in
Bit
o
la.
S
h
e
re
c
e
iv
e
d
th
e
P
h
D
d
e
g
re
e
in
c
o
m
p
u
ter
sc
ien
c
e
f
ro
m
th
e
F
a
c
u
lt
y
o
f
Co
m
p
u
ter
S
c
ien
c
e
a
n
d
E
n
g
in
e
e
rin
g
a
t
th
e
Un
iv
e
rsit
y
“
S
s
C
y
ril
a
n
d
M
e
t
h
o
d
iu
s”
i
n
S
k
o
p
je.
He
r
re
se
a
rc
h
i
s
in
t
h
e
f
ield
s
o
f
:
in
f
o
rm
a
ti
o
n
s
y
ste
m
s an
d
c
o
ll
a
b
o
ra
ti
v
e
a
lg
o
rit
h
m
s.
S
.
Ko
c
e
sk
i
re
c
e
iv
e
d
th
e
P
h
D
d
e
g
re
e
in
ro
b
o
ti
c
s
a
n
d
a
rti
f
icia
l
in
tell
ig
e
n
c
e
f
ro
m
th
e
Un
iv
e
rsit
y
o
f
L
’
A
q
u
il
a
(Italy
),
in
2
0
0
9
.
He
is
c
u
rre
n
tl
y
a
n
A
ss
istan
t
P
r
o
f
e
ss
o
r
a
t
th
e
F
a
c
u
lt
y
o
f
Co
m
p
u
ter
S
c
ien
c
e
,
Un
iv
e
rsity
"
G
o
c
e
D
e
lce
v
"
-
S
ti
p
,
R.
M
a
c
e
d
o
n
ia.
His
c
u
r
re
n
t
re
se
a
rc
h
in
tere
sts
in
c
lu
d
e
ro
b
o
ti
c
s an
d
a
rti
f
icia
l
in
telli
g
e
n
c
e
,
b
i
o
e
n
g
in
e
e
rin
g
,
b
io
i
n
f
o
rm
a
ti
c
s a
n
d
m
e
d
ica
l
im
a
g
in
g
.
V
lad
im
ir
T
ra
jk
o
v
ik
r
e
c
e
i
v
e
d
P
h
.
D.
d
e
g
re
e
s
2
0
0
3
.
He
jo
i
n
e
d
t
h
e
S
s.
Cy
ril
a
n
d
M
e
th
o
d
io
u
s
Un
iv
e
rsit
y
,
S
k
o
p
je,
R
.
M
a
c
e
d
o
n
i
a
,
in
De
c
e
m
b
e
r
1
9
9
7
.
His
c
u
rre
n
t
p
o
sit
io
n
is
F
u
ll
P
ro
f
e
ss
o
r
a
n
d
V
ice
De
a
n
f
o
r
S
c
ien
c
e
a
t
th
e
F
a
c
u
lt
y
o
f
Co
m
p
u
ter
S
c
ien
c
e
a
n
d
En
g
in
e
e
ri
n
g
.
He
is
c
u
rre
n
tl
y
re
sp
o
n
si
b
le
f
o
r
se
v
e
ra
l
c
o
u
rse
s
a
t
u
n
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rs.
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