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C
NNs),
r
ec
u
r
r
en
t
n
eu
r
al
n
etwo
r
k
s
(
R
NNs),
b
id
ir
ec
tio
n
al
L
STM
s
,
an
d
tr
an
s
f
o
r
m
er
-
b
ased
m
o
d
els
ar
e
b
ec
o
m
in
g
in
cr
ea
s
in
g
ly
p
r
ev
alen
t
.
Su
ch
ar
ch
itectu
r
es
en
h
a
n
ce
b
o
th
d
etailed
f
ea
tu
r
e
e
x
tr
ac
tio
n
an
d
lo
n
g
-
r
an
g
e
c
o
n
tex
tu
al
u
n
d
er
s
tan
d
in
g
,
t
h
er
eb
y
im
p
r
o
v
in
g
d
ec
is
io
n
-
m
a
k
in
g
ac
r
o
s
s
v
ar
io
u
s
d
o
m
ain
s
.
E
x
p
lain
ab
le
AI
tech
n
iq
u
es
ar
e
p
ar
ticu
l
ar
ly
v
ital
in
cr
itical
f
ield
s
s
u
ch
as
h
ea
lth
ca
r
e,
en
v
ir
o
n
m
e
n
tal
m
o
n
ito
r
in
g
,
an
d
au
to
n
o
m
o
u
s
s
y
s
tem
s
,
en
s
u
r
i
n
g
th
at
o
u
tp
u
ts
ar
e
in
ter
p
r
etab
le
a
n
d
ac
tio
n
ab
le.
Mu
ltimo
d
al
lear
n
in
g
,
wh
ich
al
lo
ws
AI
m
o
d
els
to
p
r
o
ce
s
s
tex
t,
im
ag
es,
au
d
i
o
,
an
d
s
en
s
o
r
d
ata
s
im
u
ltan
eo
u
s
ly
,
f
u
r
th
er
im
p
r
o
v
es
p
r
ed
ictiv
e
ac
cu
r
ac
y
a
n
d
r
o
b
u
s
tn
ess
,
esp
ec
ially
in
n
o
is
y
o
r
in
co
m
p
lete
r
ea
l
-
wo
r
ld
s
ce
n
ar
i
o
s
.
AI
/ML
m
o
d
els
ar
e
n
o
w
ass
e
s
s
ed
n
o
t
o
n
ly
o
n
p
e
r
f
o
r
m
an
ce
m
etr
ics
lik
e
ac
cu
r
ac
y
o
r
F1
-
s
co
r
e
b
u
t
also
o
n
tr
an
s
p
a
r
en
cy
,
ef
f
icien
c
y
,
a
n
d
r
o
b
u
s
tn
ess
.
E
th
ical,
h
u
m
an
-
ce
n
tr
ed
,
an
d
s
u
s
tain
ab
le
d
esig
n
h
as
em
e
r
g
ed
as
a
ce
n
tr
al
co
n
ce
r
n
,
esp
ec
ially
f
o
r
ap
p
licatio
n
s
with
s
ig
n
if
ican
t
s
tak
es.
Op
tim
is
atio
n
f
o
r
co
m
p
u
tatio
n
al
ef
f
icien
cy
s
u
p
p
o
r
ts
d
ep
l
o
y
m
en
t
o
n
ed
g
e
d
ev
ices
an
d
I
o
T
-
e
n
ab
led
s
y
s
te
m
s
,
m
ak
in
g
i
n
tellig
en
t
au
to
m
a
tio
n
f
ea
s
ib
le
in
r
ea
l
-
tim
e
o
r
r
eso
u
r
ce
-
co
n
s
tr
ain
ed
s
ettin
g
s
.
T
h
ese
tr
en
d
s
h
e
r
ald
a
p
ar
ad
ig
m
s
h
if
t w
h
er
e
we
e
v
al
u
ate
in
tellig
en
ce
n
o
t
o
n
ly
b
y
p
r
e
d
ictiv
e
p
er
f
o
r
m
a
n
c
e,
b
u
t a
ls
o
b
y
ad
ap
ta
b
ilit
y
,
s
u
s
tain
ab
ilit
y
,
an
d
s
o
cieta
l im
p
ac
t
.
I
o
T
a
nd
Sm
a
rt
G
rids
:
I
nte
lli
g
ent
Co
nn
ec
t
iv
it
y
T
h
e
I
o
T
h
as
tr
an
s
f
o
r
m
e
d
th
e
i
n
ter
ac
tio
n
b
etwe
en
p
h
y
s
ical
s
y
s
tem
s
an
d
th
e
d
ig
ital
wo
r
ld
.
I
n
th
is
is
s
u
e
,
I
o
T
em
er
g
es
as
a
k
ey
en
ab
ler
f
o
r
r
ea
l
-
tim
e
m
o
n
ito
r
i
n
g
,
a
d
ap
ti
v
e
co
n
tr
o
l,
an
d
au
to
n
o
m
o
u
s
d
e
cisi
o
n
-
m
ak
in
g
.
B
y
in
teg
r
atin
g
s
en
s
in
g
,
co
m
m
u
n
ic
atio
n
,
an
d
ac
tu
atio
n
ca
p
a
b
ilit
ies,
I
o
T
allo
ws
s
y
s
tem
s
to
r
esp
o
n
d
in
tellig
en
tly
an
d
ef
f
icien
tly
to
d
y
n
a
m
ic
co
n
d
itio
n
s
.
W
h
en
co
m
b
in
ed
with
AI
a
n
d
p
r
ed
ictiv
e
a
n
aly
tics
,
I
o
T
s
y
s
tem
s
n
o
t
o
n
ly
r
ea
ct
b
u
t
also
an
ticip
ate
an
d
o
p
tim
i
s
e
f
u
tu
r
e
o
p
er
atio
n
s
,
im
p
r
o
v
i
n
g
p
er
f
o
r
m
a
n
ce
ac
r
o
s
s
in
d
u
s
tr
ial,
en
v
ir
o
n
m
en
tal,
an
d
en
er
g
y
a
p
p
licatio
n
s
.
Sm
ar
t
g
r
id
s
ex
em
p
lify
th
e
p
o
wer
o
f
I
o
T
in
teg
r
ati
o
n
in
en
e
r
g
y
s
y
s
tem
s
.
E
m
b
ed
d
ed
s
en
s
o
r
s
,
s
m
ar
t
m
eter
s
,
an
d
p
r
e
d
ictiv
e
alg
o
r
ith
m
s
allo
w
g
r
i
d
s
to
b
alan
ce
s
u
p
p
ly
an
d
d
em
an
d
,
i
n
teg
r
ate
r
en
ewa
b
le
s
o
u
r
ce
s
,
a
n
d
p
er
f
o
r
m
p
r
e
d
ictiv
e
m
ain
ten
a
n
ce
.
Hy
b
r
id
cl
o
u
d
f
o
g
a
r
ch
itect
u
r
es
s
u
p
p
o
r
t
e
f
f
icien
t
d
ata
p
r
o
ce
s
s
in
g
,
wh
ile
ed
g
e
co
m
p
u
tin
g
en
s
u
r
es
f
ast,
lo
ca
lis
ed
d
ec
is
io
n
-
m
ak
in
g
.
I
o
T
-
en
a
b
led
g
r
id
s
ca
n
also
in
co
r
p
o
r
at
e
d
is
tr
ib
u
ted
en
er
g
y
r
eso
u
r
ce
s
s
u
ch
as
s
o
lar
p
a
n
els
an
d
s
to
r
ag
e
u
n
its
,
cr
ea
tin
g
r
e
s
ilien
t
an
d
d
ec
e
n
tr
alis
ed
en
er
g
y
n
etwo
r
k
s
.
T
h
ese
in
tellig
en
t
g
r
id
s
im
p
r
o
v
e
o
p
e
r
atio
n
al
ef
f
icien
cy
an
d
r
ed
u
ce
e
n
er
g
y
waste,
lo
wer
ca
r
b
o
n
f
o
o
tp
r
in
ts
,
an
d
s
u
p
p
o
r
t
s
u
s
tain
ab
le
en
er
g
y
g
o
als.
I
o
T
en
a
b
les
u
s
er
-
ce
n
tr
ic
a
p
p
r
o
ac
h
es
th
at
s
h
if
t
f
r
o
m
p
r
e
-
p
r
o
g
r
am
m
ed
au
to
m
atio
n
to
f
lex
ib
le,
lear
n
in
g
-
b
ased
in
f
r
astru
ctu
r
es
th
at
ca
n
s
elf
-
o
p
tim
ize.
B
y
in
teg
r
ati
n
g
s
m
ar
t
s
en
s
o
r
s
,
wea
r
ab
le
d
ev
ices,
an
d
m
o
b
ile
in
ter
f
ac
es,
u
s
er
s
g
ain
r
ea
l
-
tim
e
in
s
ig
h
ts
an
d
c
o
n
tr
o
l,
im
p
r
o
v
in
g
s
af
ety
,
c
o
m
f
o
r
t,
a
n
d
o
p
e
r
atio
n
al
ef
f
icien
cy
.
L
o
o
k
in
g
f
o
r
war
d
,
th
e
co
m
b
in
a
tio
n
o
f
I
o
T
,
AI
,
an
d
p
r
ed
ictiv
e
an
aly
tics
is
p
o
is
ed
to
ac
ce
ler
ate
th
e
d
ev
elo
p
m
en
t
o
f
ad
ap
tiv
e
,
s
elf
-
h
ea
lin
g
,
an
d
co
n
tex
t
-
awa
r
e
in
f
r
astru
ctu
r
es,
s
h
ap
in
g
th
e
f
u
tu
r
e
o
f
in
t
ellig
e
n
t c
o
n
n
ec
tiv
ity
.
Ro
bo
t
ics:
Ada
ptiv
e
a
nd
I
nte
llig
ent
M
a
chine
s
R
o
b
o
tics
co
n
tin
u
es
to
tr
a
n
s
f
o
r
m
in
d
u
s
tr
ial,
clin
ical,
a
n
d
s
er
v
ice
s
ec
to
r
s
.
Ad
v
an
ce
s
in
co
n
tr
o
l
s
y
s
tem
s
,
s
en
s
o
r
in
teg
r
atio
n
,
a
n
d
m
ac
h
in
e
lear
n
in
g
h
av
e
p
r
o
d
u
ce
d
r
o
b
o
ts
ca
p
ab
le
o
f
o
p
er
atin
g
a
u
to
n
o
m
o
u
s
ly
in
d
y
n
am
ic,
u
n
s
tr
u
ctu
r
ed
en
v
ir
o
n
m
en
ts
.
Ad
ap
tiv
e
co
n
tr
o
l
s
tr
ateg
ies,
in
clu
d
in
g
s
lid
in
g
-
m
o
d
e
co
n
tr
o
l
an
d
tim
e
-
d
elay
esti
m
atio
n
,
en
ab
le
r
o
b
o
ts
to
m
ain
tain
p
r
ec
is
io
n
,
s
tab
ilit
y
,
an
d
r
esil
ien
ce
d
esp
ite
u
n
ce
r
tain
ti
es
o
r
p
er
tu
r
b
atio
n
s
.
Dev
elo
p
m
en
ts
in
s
o
f
t
r
o
b
o
tics
an
d
co
m
p
lian
t
ac
tu
ato
r
s
f
u
r
th
er
ex
p
an
d
p
o
ten
tial
ap
p
l
icatio
n
s
b
y
allo
win
g
s
af
e
in
ter
ac
tio
n
with
d
elica
te
o
b
jects a
n
d
h
u
m
a
n
s
.
Mo
d
er
n
r
o
b
o
tics
u
tili
s
es
en
er
g
y
-
awa
r
e
p
lan
n
in
g
,
s
en
s
o
r
f
u
s
io
n
,
an
d
p
r
ed
ictiv
e
alg
o
r
ith
m
s
to
o
p
tim
is
e
p
er
f
o
r
m
an
ce
an
d
ef
f
icien
c
y
.
AI
lets
r
o
b
o
ts
lear
n
f
r
o
m
t
h
eir
in
ter
ac
tio
n
s
,
ch
an
g
e
to
f
it
d
if
f
er
en
t
en
v
ir
o
n
m
en
ts
,
an
d
wo
r
k
s
af
ely
with
p
eo
p
le.
T
h
e
co
n
v
er
g
en
c
e
o
f
r
o
b
o
tics
with
I
o
T
,
wea
r
ab
les,
an
d
clo
u
d
-
b
ased
an
aly
tics
ex
ten
d
s
ap
p
licatio
n
s
to
h
ea
lth
ca
r
e,
r
eh
ab
ilit
atio
n
,
an
d
ass
is
t
ed
liv
in
g
,
en
ab
lin
g
r
ea
l
-
tim
e
m
o
n
ito
r
in
g
,
ad
ap
tiv
e
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
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8
A
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in
A
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o
T,
a
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ma
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in
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561
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h
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tellig
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o
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ates a
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es to
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o
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a
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eh
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r
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R
esear
ch
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to
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r
o
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o
tics
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m
u
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g
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o
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d
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n
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h
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m
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n
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o
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ter
ac
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g
ly
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p
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ce
iv
in
g
,
lear
n
in
g
,
a
n
d
r
ea
s
o
n
in
g
in
r
ea
l
-
wo
r
ld
s
ettin
g
s
,
th
eir
in
teg
r
atio
n
in
t
o
i
n
d
u
s
tr
y
,
h
ea
lth
ca
r
e,
a
n
d
d
aily
l
if
e
p
r
o
m
is
es
to
ac
ce
ler
ate
in
n
o
v
atio
n
,
ef
f
icien
cy
,
an
d
s
o
cieta
l b
en
ef
its
.
H
ea
lt
hca
re
:
AI,
I
o
T
,
a
nd
P
er
s
o
na
lized
So
lutio
ns
Hea
lth
ca
r
e
r
ep
r
esen
ts
o
n
e
o
f
t
h
e
m
o
s
t
s
o
cially
im
p
ac
tf
u
l
ap
p
licatio
n
d
o
m
ain
s
.
AI
-
d
r
iv
e
n
d
iag
n
o
s
tic
s
y
s
tem
s
,
wea
r
ab
le
an
d
im
p
lan
t
ab
le
s
en
s
o
r
s
,
an
d
I
o
T
-
en
ab
led
p
latf
o
r
m
s
ar
e
r
e
v
o
lu
tio
n
is
in
g
p
atien
t m
o
n
ito
r
in
g
,
ea
r
ly
d
is
ea
s
e
d
etec
tio
n
,
an
d
p
er
s
o
n
alis
ed
in
ter
v
en
tio
n
s
.
C
o
n
tin
u
o
u
s
,
r
ea
l
-
tim
e
m
o
n
ito
r
in
g
o
f
p
h
y
s
io
lo
g
ical
p
ar
am
eter
s
—
f
r
o
m
ca
r
d
iac
f
u
n
ctio
n
to
m
etab
o
lic
in
d
icato
r
s
—
en
ab
les
p
r
o
ac
tiv
e
h
ea
lth
ca
r
e
s
tr
ateg
ies,
tim
ely
in
ter
v
en
tio
n
s
,
an
d
im
p
r
o
v
ed
p
atien
t
o
u
tco
m
es.
T
h
ese
ca
p
ab
il
ities
also
r
ed
u
ce
h
o
s
p
italis
atio
n
r
ates
an
d
en
h
a
n
ce
o
v
er
all
s
y
s
tem
ef
f
icien
cy
.
W
ea
r
ab
le
an
d
im
p
lan
ta
b
le
d
e
v
ices
ar
e
d
esig
n
ed
f
o
r
b
io
co
m
p
atib
ilit
y
,
lo
w
p
o
wer
co
n
s
u
m
p
tio
n
,
an
d
u
s
er
co
m
f
o
r
t,
en
s
u
r
i
n
g
s
ea
m
l
ess
in
teg
r
atio
n
in
to
d
aily
life
.
W
h
en
lin
k
ed
with
clo
u
d
-
b
ased
an
aly
tics
an
d
AI
d
ec
is
io
n
s
u
p
p
o
r
t
s
y
s
tem
s
,
th
ese
d
ev
ices
allo
w
clin
icia
n
s
to
d
etec
t
an
o
m
alies
ea
r
ly
,
o
p
tim
i
s
e
tr
ea
tm
en
t
p
lan
s
,
an
d
m
o
n
ito
r
p
atien
t
p
r
o
g
r
ess
.
Mu
lti
-
d
ev
ice,
I
o
T
-
en
a
b
led
e
co
s
y
s
tem
s
s
u
p
p
o
r
t
lar
g
e
-
s
ca
le
h
ea
lth
m
o
n
ito
r
in
g
,
ep
id
em
io
lo
g
ical
s
tu
d
ies,
an
d
i
n
teg
r
atio
n
o
f
en
v
ir
o
n
m
en
tal
f
a
cto
r
s
,
ex
p
an
d
in
g
ac
ce
s
s
to
h
ig
h
-
qu
ality
ca
r
e.
T
h
ese
s
y
s
tem
s
f
ac
ilit
ate
telem
ed
icin
e
,
co
n
tin
u
o
u
s
f
ee
d
b
ac
k
lo
o
p
s
,
a
n
d
r
em
o
te
h
ea
lth
ca
r
e
d
eliv
er
y
.
E
x
p
lain
ab
le
AI
en
s
u
r
es
p
r
e
d
i
ctiv
e
m
o
d
els
ar
e
tr
a
n
s
p
ar
en
t
an
d
tr
u
s
two
r
th
y
,
ad
d
r
ess
in
g
e
th
ical
an
d
r
eg
u
lato
r
y
co
n
ce
r
n
s
.
C
lin
ician
s
ca
n
u
n
d
e
r
s
tan
d
a
n
d
v
alid
a
te
AI
r
ec
o
m
m
en
d
atio
n
s
,
b
u
il
d
in
g
c
o
n
f
i
d
en
ce
i
n
ad
o
p
tio
n
,
p
ar
ticu
lar
ly
in
cr
itical
ca
r
e
s
ce
n
ar
io
s
.
B
y
co
m
b
in
i
n
g
AI
,
I
o
T
,
an
d
p
e
r
s
o
n
alis
ed
m
ed
icin
e,
h
ea
lth
ca
r
e
s
o
lu
tio
n
s
ar
e
b
ec
o
m
in
g
ad
ap
ti
v
e
an
d
co
n
tin
u
o
u
s
ly
lear
n
in
g
,
p
av
in
g
th
e
way
f
o
r
p
r
ec
is
io
n
h
ea
lth
tailo
r
ed
to
in
d
iv
id
u
al
n
ee
d
s
.
Da
t
a
Ana
ly
t
ics,
Wirele
s
s
Co
m
m
un
ica
t
io
n,
a
nd
Sy
s
t
em
O
ptim
iza
t
io
n
Data
-
d
r
iv
en
in
s
ig
h
ts
ar
e
ess
en
tial
f
o
r
m
o
d
er
n
en
g
in
ee
r
i
n
g
;
th
ey
s
u
p
p
o
r
t
p
r
ed
ictiv
e
an
aly
tics
,
in
tellig
en
t
d
ec
is
io
n
-
m
ak
in
g
,
an
d
s
y
s
tem
o
p
tim
is
atio
n
.
Ad
v
a
n
ce
d
s
ig
n
al
p
r
o
ce
s
s
in
g
,
m
ac
h
in
e
lear
n
in
g
-
b
ased
ch
an
n
el
m
o
d
ellin
g
,
a
n
d
ad
ap
t
iv
e
r
eso
u
r
ce
allo
ca
tio
n
im
p
r
o
v
e
wir
eless
co
m
m
u
n
icatio
n
s
y
s
tem
s
,
en
h
an
cin
g
th
r
o
u
g
h
p
u
t,
r
eliab
ilit
y
,
an
d
en
er
g
y
e
f
f
icien
cy
.
Netwo
r
k
s
ca
n
d
y
n
a
m
ically
r
esp
o
n
d
to
u
s
er
d
em
an
d
s
,
en
v
ir
o
n
m
en
tal
ch
an
g
es,
an
d
s
p
ec
tr
u
m
v
a
r
iatio
n
s
,
m
ain
tain
in
g
co
n
s
is
ten
t p
er
f
o
r
m
an
ce
i
n
co
m
p
lex
s
ce
n
ar
io
s
.
T
ec
h
n
iq
u
es
s
u
ch
as
tr
an
s
f
o
r
m
er
-
b
ased
m
o
d
els,
n
o
n
-
o
r
th
o
g
o
n
al
m
u
ltip
le
ac
ce
s
s
,
an
d
ad
ap
tiv
e
in
ter
f
er
en
ce
ca
n
ce
llatio
n
illu
s
tr
ate
th
e
s
o
p
h
is
ticatio
n
o
f
m
o
d
er
n
c
o
m
m
u
n
icatio
n
n
et
wo
r
k
o
p
tim
is
atio
n
.
I
n
teg
r
atin
g
m
u
ltimo
d
al
d
ata
—
f
r
o
m
b
eh
av
i
o
u
r
al
p
atter
n
s
to
tem
p
o
r
a
l
a
n
d
n
etwo
r
k
in
ter
ac
tio
n
s
—
en
ab
les
r
o
b
u
s
t
an
o
m
aly
d
etec
tio
n
,
f
r
au
d
p
r
e
v
en
tio
n
,
an
d
co
n
te
x
t
-
awa
r
e
d
ec
is
io
n
-
m
ak
in
g
.
Ap
p
licatio
n
s
r
an
g
e
f
r
o
m
I
o
T
-
en
ab
led
s
m
ar
t
cities
to
a
u
to
n
o
m
o
u
s
v
e
h
icle
n
etwo
r
k
s
,
wh
e
r
e
s
ec
u
r
e
a
n
d
r
eliab
le
c
o
m
m
u
n
i
ca
tio
n
is
cr
itical
f
o
r
s
af
et
y
an
d
ef
f
icien
cy
.
Ad
v
an
ce
s
in
d
ata
an
aly
tics
an
d
co
m
m
u
n
icatio
n
s
u
n
d
er
p
in
in
te
llig
en
t
s
y
s
tem
s
,
I
o
T
n
etwo
r
k
s
,
an
d
s
m
ar
t
g
r
id
s
,
en
s
u
r
in
g
in
f
o
r
m
atio
n
f
lo
ws
ef
f
icien
tly
,
s
ec
u
r
ely
,
an
d
ad
ap
tiv
el
y
.
Data
-
d
r
iv
en
d
e
s
ig
n
also
en
h
an
ce
s
r
esil
ien
ce
,
f
au
lt
to
ler
a
n
ce
,
a
n
d
en
er
g
y
ef
f
icien
cy
,
alig
n
i
n
g
in
n
o
v
atio
n
with
s
u
s
tain
ab
ilit
y
g
o
als.
As
s
y
s
tem
s
g
r
o
w
in
s
ca
le
an
d
c
o
m
p
lex
ity
,
th
e
in
teg
r
atio
n
o
f
a
n
aly
tics
,
co
m
m
u
n
icatio
n
,
an
d
ad
a
p
tiv
e
co
n
tr
o
l
r
em
ain
s
a
co
r
n
er
s
to
n
e
o
f
n
ex
t
-
g
e
n
er
atio
n
en
g
in
ee
r
in
g
s
o
lu
tio
n
s
.
E
m
er
g
ing
I
nn
o
v
a
t
io
ns
a
nd
I
nte
rdis
ci
pli
na
ry
Sy
nerg
ies
T
h
is
is
s
u
e
h
ig
h
lig
h
ts
th
e
co
n
v
er
g
en
ce
o
f
p
r
ev
io
u
s
ly
d
is
tin
ct
tech
n
o
lo
g
ies
in
to
u
n
if
ied
,
in
tellig
en
t
ec
o
s
y
s
tem
s
.
Ho
lis
t
ic,
in
ter
d
is
cip
lin
ar
y
ap
p
r
o
ac
h
es
in
cr
ea
s
in
g
ly
allo
w
AI
,
I
o
T
,
r
o
b
o
tics
,
s
m
ar
t
g
r
id
s
,
an
d
h
ea
lth
ca
r
e
s
y
s
tem
s
to
in
ter
o
p
e
r
ate
s
ea
m
less
ly
.
I
n
t
eg
r
ated
s
y
s
tem
s
lev
er
ag
e
r
ea
l
-
tim
e
d
ata
,
a
d
ap
tiv
e
alg
o
r
ith
m
s
,
an
d
a
u
to
n
o
m
o
u
s
co
n
tr
o
l
to
ac
h
iev
e
ef
f
icien
cy
,
r
esil
ien
ce
,
a
n
d
a
d
ap
tab
ilit
y
th
at
wer
e
p
r
ev
io
u
s
ly
u
n
attain
ab
le.
C
r
o
s
s
-
d
o
m
ain
co
llab
o
r
atio
n
p
r
o
d
u
ce
s
s
o
lu
tio
n
s
th
at
s
im
u
ltan
eo
u
s
ly
ad
d
r
ess
in
d
u
s
tr
ial
,
en
v
ir
o
n
m
en
tal,
an
d
s
o
cial
ch
allen
g
es.
C
y
b
er
-
p
h
y
s
ical
s
y
s
tem
s
(
C
P
S
)
ex
em
p
lif
y
th
is
s
y
n
er
g
y
,
b
r
i
d
g
in
g
c
o
m
p
u
tatio
n
,
c
o
m
m
u
n
i
ca
tio
n
,
an
d
p
h
y
s
ical
p
r
o
ce
s
s
es.
Hy
b
r
i
d
cl
o
u
d
-
f
o
g
a
r
ch
itectu
r
es
en
a
b
le
s
ca
lab
le,
lo
w
-
laten
cy
p
r
o
ce
s
s
in
g
,
wh
ile
AI
-
d
r
iv
en
co
n
tr
o
l
s
tr
ateg
ies
s
u
p
p
o
r
t
au
to
n
o
m
o
u
s
ad
a
p
tatio
n
to
en
v
ir
o
n
m
en
tal
an
d
o
p
e
r
atio
n
al
ch
an
g
e
s
.
C
P
S
ar
e
d
esig
n
ed
n
o
t
m
er
ely
to
f
u
n
ctio
n
b
u
t
t
o
lear
n
,
o
p
tim
is
e,
an
d
an
tici
p
ate,
em
b
o
d
y
in
g
f
u
lly
in
tellig
en
t
in
f
r
astru
ct
u
r
es.
Ad
v
an
ce
d
s
en
s
in
g
,
p
r
ed
ictiv
e
an
aly
tics
,
an
d
s
ec
u
r
e
co
m
m
u
n
i
ca
tio
n
en
s
u
r
e
r
eliab
ilit
y
in
d
y
n
am
ic
an
d
r
eso
u
r
ce
-
co
n
s
tr
ain
ed
s
ettin
g
s
.
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.
16
,
No
.
2
,
Ap
r
il
20
26
:
55
9
-
5
62
562
Hu
m
an
-
ce
n
tr
e
d
an
d
eth
ical
d
esig
n
s
ar
e
eq
u
ally
cr
itical.
As
in
tellig
en
t
s
y
s
tem
s
en
ter
ev
e
r
y
d
ay
life
,
s
af
ety
,
in
ter
p
r
eta
b
ilit
y
,
ac
ce
s
s
ib
ilit
y
,
an
d
s
o
cial
im
p
ac
t
g
u
id
e
en
g
in
ee
r
in
g
p
r
ac
tice.
B
y
em
b
e
d
d
in
g
p
r
in
ci
p
les
o
f
tr
an
s
p
ar
en
cy
,
f
air
n
ess
,
an
d
s
u
s
tain
ab
ilit
y
,
r
esear
ch
er
s
a
r
e
f
o
s
ter
in
g
tech
n
o
lo
g
ies th
at
ar
e
n
o
t
o
n
ly
p
o
wer
f
u
l
b
u
t
also
tr
u
s
two
r
th
y
,
eq
u
itab
le,
an
d
s
o
cially
b
en
ef
icial.
Cha
lleng
es a
nd
O
p
po
rt
un
it
i
es
Desp
ite
n
o
tab
le
a
d
v
an
ce
m
e
n
t
s
,
ch
allen
g
es
p
e
r
s
is
t.
AI
/ML
s
y
s
tem
s
m
u
s
t
r
ec
o
n
cile
p
r
e
d
ictiv
e
p
o
wer
with
in
ter
p
r
etab
ilit
y
,
I
o
T
n
etwo
r
k
s
m
u
s
t
g
u
ar
a
n
tee
s
ec
u
r
ity
a
n
d
s
ca
lab
ilit
y
,
s
m
ar
t
g
r
id
s
m
u
s
t
u
p
h
o
ld
e
f
f
icien
cy
am
id
u
n
ce
r
tain
ty
,
an
d
r
o
b
o
tic
s
m
u
s
t
s
ec
u
r
e
r
o
b
u
s
t
au
t
o
n
o
m
y
in
in
tr
icate
,
u
n
s
tr
u
ctu
r
e
d
en
v
ir
o
n
m
en
ts
.
T
h
e
co
n
v
er
g
en
ce
o
f
th
ese
tech
n
o
lo
g
ies
in
tr
o
d
u
ce
s
f
u
r
th
e
r
co
m
p
lex
ities
r
elate
d
to
in
ter
o
p
er
ab
ilit
y
,
r
ea
l
-
tim
e
ad
ap
tatio
n
,
a
n
d
r
eso
u
r
ce
m
an
a
g
em
en
t,
h
i
g
h
lig
h
tin
g
th
e
n
ec
es
s
ity
f
o
r
cr
o
s
s
-
d
is
cip
lin
ar
y
s
o
lu
tio
n
s.
Fu
tu
r
e
d
ir
ec
tio
n
s
in
clu
d
e
ed
g
e
an
d
f
ed
er
ated
lear
n
in
g
f
r
am
ewo
r
k
s
aim
ed
at
en
h
an
cin
g
p
r
iv
ac
y
an
d
m
in
im
is
in
g
laten
cy
,
lo
w
-
p
o
wer
I
o
T
d
ev
ices
d
esig
n
ed
f
o
r
s
u
s
tain
ab
le
o
p
er
atio
n
s
,
an
d
s
tan
d
ar
d
C
PS
ar
ch
itectu
r
es
to
p
r
o
m
o
te
m
o
d
u
lar
ity
,
s
ca
lab
ilit
y
,
an
d
in
ter
o
p
er
a
b
ilit
y
.
E
th
ical,
r
esp
o
n
s
ib
le,
an
d
s
u
s
tain
ab
le
en
g
in
ee
r
in
g
p
r
ac
tices
will
u
n
d
er
p
in
th
ese
in
n
o
v
atio
n
s
,
en
s
u
r
i
n
g
th
at
i
n
tellig
en
t
s
y
s
tem
s
ar
e
n
o
t
o
n
l
y
tech
n
ically
p
r
o
f
icien
t
b
u
t
also
s
o
cially
ali
g
n
ed
a
n
d
en
v
ir
o
n
m
en
tally
c
o
n
s
id
er
ate.
T
h
ese
p
r
o
s
p
ec
ts
in
d
icate
a
f
u
tu
r
e
wh
er
e
en
g
in
ee
r
in
g
ad
v
a
n
ce
m
en
ts
y
ie
ld
b
o
th
h
ig
h
p
er
f
o
r
m
an
ce
a
n
d
s
o
cieta
l b
en
ef
it.
Co
nclus
io
n
Vo
lu
m
e
1
6
,
N
u
m
b
er
2
,
o
f
I
J
E
C
E
p
r
esen
ts
an
in
s
ig
h
tf
u
l
o
v
er
v
iew
o
f
th
e
cu
r
r
en
t
lan
d
s
ca
p
e
in
elec
tr
ical
an
d
co
m
p
u
ter
en
g
in
ee
r
in
g
,
em
p
h
asis
in
g
th
e
co
n
v
e
r
g
en
ce
o
f
AI
/ML
,
I
o
T
,
s
m
ar
t
g
r
id
s
,
r
o
b
o
tics
,
h
ea
lth
ca
r
e,
an
d
em
er
g
in
g
tech
n
o
lo
g
ies.
T
h
e
r
esear
ch
in
clu
d
ed
in
th
is
i
s
s
u
e
h
ig
h
lig
h
ts
th
e
tr
an
s
f
o
r
m
ativ
e
p
o
ten
tial
o
f
in
ter
d
is
cip
lin
ar
y
ap
p
r
o
ac
h
es,
wh
er
e
d
ata
-
d
r
i
v
en
in
tellig
en
c
e,
au
to
n
o
m
o
u
s
s
y
s
tem
s
,
an
d
r
ea
l
-
tim
e
m
o
n
ito
r
in
g
wo
r
k
t
o
g
eth
er
to
tack
le
co
m
p
l
ex
en
g
in
ee
r
in
g
c
h
allen
g
es.
W
i
th
in
th
ese
d
o
m
ain
s
,
th
e
in
teg
r
atio
n
o
f
p
r
ed
ictiv
e
an
aly
tics
,
ad
ap
tiv
e
c
o
n
tr
o
l,
an
d
h
u
m
a
n
-
ce
n
t
r
ed
d
esig
n
in
d
ica
tes
th
at
in
tellig
en
t
s
y
s
tem
s
ca
n
f
u
n
ctio
n
ef
f
icien
tly
,
s
af
ely
,
an
d
r
esp
o
n
s
ib
ly
in
d
y
n
am
ic
an
d
u
n
ce
r
tain
en
v
ir
o
n
m
e
n
ts
.
As
th
e
f
ield
ad
v
an
ce
s
,
th
e
s
e
in
n
o
v
atio
n
s
a
r
e
s
et
to
r
ed
ef
in
e
th
e
lim
its
o
f
wh
at
is
ac
h
iev
ab
le,
f
o
s
ter
in
g
in
cr
ea
s
in
g
ly
in
tellig
en
t
s
y
s
tem
s
,
r
esil
ien
t,
an
d
s
u
s
tain
ab
le.
T
h
e
im
p
ac
t
o
f
th
ese
tech
n
o
lo
g
ies
r
ea
ch
es
f
ar
b
ey
o
n
d
m
e
r
e
tec
h
n
ical
p
er
f
o
r
m
an
ce
,
i
n
f
lu
en
cin
g
s
o
cieta
l
an
d
ec
o
lo
g
ical
d
im
en
s
io
n
s
,
f
r
o
m
en
h
a
n
cin
g
in
d
u
s
tr
ial
p
r
o
d
u
ctiv
ity
an
d
o
p
tim
is
in
g
en
er
g
y
n
etwo
r
k
s
to
im
p
r
o
v
in
g
h
ea
lth
ca
r
e
d
eliv
er
y
an
d
p
r
o
m
o
tin
g
en
v
ir
o
n
m
en
tal
s
tewa
r
d
s
h
ip
.
A
f
o
cu
s
o
n
in
ter
p
r
etab
ilit
y
,
eth
ical
d
esig
n
,
an
d
ad
ap
tab
ilit
y
e
n
s
u
r
es
th
at
ad
v
an
ce
m
e
n
ts
ar
e
n
o
t
o
n
ly
tech
n
o
lo
g
ically
s
o
p
h
is
ticated
b
u
t
al
s
o
s
o
cially
r
esp
o
n
s
ib
le,
tr
u
s
two
r
th
y
,
an
d
ac
ce
s
s
ib
le.
T
h
is
is
s
u
e
f
u
n
ctio
n
s
b
o
th
as
a
r
ef
lectio
n
o
f
cu
r
r
en
t
ac
h
iev
em
e
n
ts
an
d
as
a
g
u
id
e
f
o
r
f
u
t
u
r
e
e
x
p
lo
r
atio
n
.
B
y
p
r
o
m
o
tin
g
in
ter
d
is
cip
lin
ar
y
c
o
llab
o
r
atio
n
,
a
d
v
an
ci
n
g
au
to
n
o
m
o
u
s
a
n
d
ad
ap
tiv
e
s
o
lu
tio
n
s
,
an
d
em
b
ed
d
in
g
t
h
e
p
r
in
cip
les
o
f
s
u
s
tain
a
b
ilit
y
an
d
h
u
m
an
-
ce
n
ter
ed
in
n
o
v
atio
n
,
th
e
r
esear
ch
p
r
esen
ted
h
er
e
la
y
s
th
e
g
r
o
u
n
d
wo
r
k
f
o
r
t
h
e
n
ex
t
g
en
er
at
io
n
o
f
elec
tr
ical
an
d
co
m
p
u
t
er
en
g
in
ee
r
i
n
g
.
I
t
u
n
d
er
s
co
r
es
t
h
e
o
p
p
o
r
tu
n
ities
,
ch
allen
g
es,
a
n
d
s
y
n
er
g
ies
t
h
at
will
co
n
tin
u
e
to
s
h
a
p
e
i
n
tellig
en
t
s
y
s
tem
s
,
g
u
ar
an
teein
g
th
at
tech
n
o
lo
g
ic
al
p
r
o
g
r
ess
tr
an
s
lates
in
to
m
ea
n
in
g
f
u
l
b
en
ef
its
f
o
r
s
o
ciety
,
in
d
u
s
tr
y
,
an
d
t
h
e
en
v
ir
o
n
m
en
t.
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