I
n
t
e
r
n
at
ion
al
Jou
r
n
al
of
E
lec
t
r
ical
an
d
Com
p
u
t
e
r
E
n
gin
e
e
r
in
g
(
I
JE
CE
)
Vol.
15
,
No.
1
,
F
e
br
ua
r
y
20
25
,
pp.
89
~
98
I
S
S
N:
2088
-
8708
,
DO
I
:
10
.
11591/i
jec
e
.
v
15
i
1
.
pp
89
-
98
89
Jou
r
n
al
h
omepage
:
ht
tp:
//
ij
e
c
e
.
iaes
c
or
e
.
c
om
D
e
ve
lo
p
m
e
n
t
o
f
an
in
t
e
r
n
e
t
of
t
h
in
gs
b
ase
d
s
m
ar
t
c
ol
d
st
o
r
a
ge
w
ith
i
n
v
e
n
t
or
y m
o
n
itor
i
n
g sy
st
e
m
S
u
gan
ya
Angap
p
an
1
,
Aar
t
h
i
Na
t
ar
aj
1
,
L
ogan
a
t
h
an
Navanee
t
h
a
Kris
h
n
an
2
,
Anb
ar
as
u
P
ala
n
is
am
y
3
1
D
e
pa
r
tm
e
nt
of
E
le
c
tr
ic
a
l
a
nd E
le
c
tr
oni
c
s
E
ngi
ne
e
r
in
g, D
r
. M
a
ha
li
nga
m C
ol
le
ge
of
E
ngi
ne
e
r
in
g a
nd T
e
c
hnol
ogy,
P
ol
la
c
hi
, I
n
di
a
2
D
e
pa
r
tm
e
nt
of
E
le
c
tr
ic
a
l
a
nd E
le
c
tr
oni
c
s
E
ngi
ne
e
r
in
g, S
r
i
K
r
is
hna
C
ol
le
ge
of
E
ngi
ne
e
r
in
g a
nd T
e
c
hnol
ogy,
C
oi
mba
to
r
e
, I
ndi
a
3
D
e
pa
r
tm
e
nt
of
E
le
c
tr
ic
a
l
a
nd E
le
c
tr
oni
c
s
E
ngi
ne
e
r
in
g, S
r
i
E
s
h
w
a
r
C
ol
le
ge
of
E
ngi
ne
e
r
in
g, C
oi
mba
to
r
e
, I
ndi
a
Ar
t
icle
I
n
f
o
AB
S
T
RA
CT
A
r
ti
c
le
h
is
tor
y
:
R
e
c
e
ived
Apr
10,
2024
R
e
vis
e
d
Aug
28,
2024
Ac
c
e
pted
Oc
t
1,
2024
Co
n
s
u
mi
n
g
fres
h
d
ru
p
es
,
v
eg
e
t
ab
l
es
can
h
e
l
p
l
o
w
er
a
ch
an
ce
o
f
d
ev
e
l
o
p
i
n
g
s
ev
era
l
ch
r
o
n
i
c
d
i
s
ea
s
es
.
U
n
fo
rt
u
n
a
t
el
y
,
t
h
e
p
o
s
t
-
h
arv
e
s
t
l
i
fe
cy
c
l
e's
s
t
o
rag
e
s
t
a
g
e
i
s
w
h
ere
fru
i
t
s
an
d
v
e
g
et
a
b
l
e
s
(FV
s
)
l
o
s
e
t
h
e
m
o
s
t
o
f
al
l
t
h
e
fo
o
d
t
h
at
i
s
p
ro
d
u
ce
d
an
n
u
al
l
y
.
A
fai
l
u
re
t
o
reco
g
n
i
ze
i
mp
o
rt
a
n
t
amb
i
e
n
t
en
v
i
ro
n
men
t
a
l
co
n
d
i
t
i
o
n
s
w
h
en
u
s
i
n
g
co
l
d
s
t
o
rag
e
s
eems
t
o
b
e
t
h
e
mai
n
cau
s
e
s
o
f
t
h
i
s
el
ev
a
t
ed
l
o
s
s
rat
e.
T
h
e
cu
rre
n
t
mo
n
i
t
o
r
i
n
g
s
y
s
t
ems
fo
r
co
l
d
s
t
o
rag
e
are
o
n
l
y
ab
l
e
t
o
mea
s
u
re
w
armt
h
an
d
mo
i
s
t
n
e
s
s
a
n
d
i
g
n
o
ri
n
g
fu
r
t
h
er
cr
u
ci
a
l
accep
t
a
b
l
e
s
u
rro
u
n
d
i
n
g
fac
t
o
r
s
o
f
ra
d
i
a
n
ce
an
d
g
as
q
u
a
n
t
i
t
y
.
Ser
i
o
u
s
mat
t
er
g
et
s
h
an
d
l
e
d
i
n
o
r
d
er
t
o
l
o
w
er
t
h
e
s
y
s
t
em’
s
h
arm
d
e
g
ree.
T
h
e
rea
l
t
i
me
i
n
t
el
l
i
g
en
t
mo
n
i
t
o
r
i
n
g
an
d
n
o
t
i
f
i
ca
t
i
o
n
s
y
s
t
em
(RT
-
IM
N
S)
fo
r
i
c
y
co
n
t
a
i
n
er
i
s
d
es
cr
i
b
e
d
b
r
i
efl
y
i
n
t
h
e
p
ap
er.
It
em
p
l
o
y
s
a
d
ev
i
ce
man
ag
eme
n
t
p
l
a
t
fo
rm
(Io
T
)
-
e
n
ab
l
ed
t
ech
n
i
q
u
e
t
o
co
n
t
i
n
u
o
u
s
l
y
m
o
n
i
t
o
r
h
o
t
n
es
s
,
c
o
mp
ara
t
i
v
e
mo
i
s
t
u
r
e,
b
ri
g
h
t
n
es
s
,
fu
me
q
u
an
t
i
t
y
an
d
al
er
t
s
t
af
f
w
h
en
d
an
g
ero
u
s
t
h
re
s
h
o
l
d
s
are
reach
e
d
.
K
e
y
w
o
r
d
s
:
C
old
c
ontaine
r
obs
e
r
ve
r
Hotne
s
s
inqui
r
y
I
nter
ne
t
of
thi
ngs
R
e
a
l
t
im
e
i
ntel
li
ge
nt
mo
nit
or
ing
a
nd
not
if
i
c
a
ti
on
s
ys
tem
S
upe
r
ior
it
y
f
igur
ing
Th
i
s
i
s
a
n
o
p
en
a
c
ces
s
a
r
t
i
c
l
e
u
n
d
e
r
t
h
e
CC
B
Y
-
SA
l
i
ce
n
s
e.
C
or
r
e
s
pon
din
g
A
u
th
or
:
Anba
r
a
s
u
P
a
lanis
a
my
De
pa
r
tm
e
nt
of
E
lec
tr
ica
l
a
nd
E
lec
tr
onics
E
nginee
r
i
ng,
S
r
i
E
s
hwa
r
C
oll
e
ge
of
E
nginee
r
ing
Kina
thukada
vu
block,
C
oim
ba
tor
e
Dis
tr
ict
,
T
a
mi
l
Na
du
641202,
I
ndia
E
mail:
a
nba
r
a
s
u.
p@s
e
c
e
.
a
c
.
in
1.
I
NT
RODU
C
T
I
ON
Ac
c
or
ding
to
f
ood
a
nd
a
gr
icultu
r
e
or
ga
niza
ti
on
(
F
AO
)
,
f
ood
los
s
is
pr
ojec
ted
li
ke
1.
3
bn
tone
f
or
12
mont
hs
,
or
33
%
of
tot
a
l
ge
ne
r
a
ti
on.
T
he
n
e
e
d
f
or
f
ood
is
a
lwa
ys
r
is
ing
a
nd
by
2050
it
may
be
150
%
to
170
%
higher
than
it
is
today.
Addit
ionally,
the
W
o
r
ld
He
a
lt
h
Or
ga
niza
ti
on
(
W
HO
)
e
s
ti
m
a
tes
that
inade
qua
te
int
a
ke
of
f
r
uit
s
a
nd
ve
ge
table
s
(
F
Vs
)
c
o
ntr
ibut
e
s
to
a
lm
os
t
1
.
7
m
il
li
on
de
a
ths
a
nnua
ll
y
wo
r
ldwide.
I
n
c
ompar
is
on
to
e
ve
r
y
nutr
it
ious
,
s
uc
h
a
s
f
les
h
of
a
n
a
nim
a
l
(
20%
)
,
c
r
ops
yielding
(
20%
)
,
da
ir
y
(
20%
)
,
a
nd
g
r
a
in
(
30%
)
,
f
is
h
a
nd
s
e
a
f
ood
ha
ve
a
higher
los
s
r
a
te
(
35%
)
than
F
Vs
(
45%
)
.
T
he
ge
r
un
d
of
F
Vs
,
whic
h
will
c
onti
nue
s
e
ve
n
a
f
ter
r
e
c
e
ived
a
nd
s
tay
unti
l
they
a
r
e
ove
r
r
ipe
or
be
gin
to
r
ot
,
is
of
ten
thou
ght
to
be
s
lowe
d
down
by
low
tempe
r
a
tur
e
s
in
c
old
s
tor
a
ge
[
1]
.
Although
ther
e
a
r
e
othe
r
im
po
r
tant
e
nvi
r
onmenta
l
f
a
c
tor
s
to
r
e
duc
e
the
wor
th
o
f
F
Vs
c
ontaine
r
pa
r
t
be
s
ides
he
a
t
a
nd
r
e
lative
moi
s
tnes
s
,
s
uc
h
a
s
ga
s
c
onc
e
ntr
a
ti
ons
(
C
O
2
,
O
2
, C
2
H
4
)
[
2
]
,
[
3
]
,
li
ght
in
tens
it
y
[
4]
,
[
5
]
a
nd
dus
t
.
T
he
e
xis
ti
ng
c
old
s
tor
a
ge
in
unde
r
de
ve
loped
n
a
ti
ons
ignor
e
s
a
ll
thes
e
e
nvir
onmenta
l
f
a
c
tor
s
,
r
e
jec
ti
ng
wa
r
mt
h
a
nd
moi
s
tnes
s
,
that
r
e
s
ult
s
in
a
high
r
a
te
of
F
V
los
s
.
I
n
l
ight
of
thi
s
,
I
n
or
de
r
to
dil
ute
the
dr
a
wba
c
ks
on
pe
r
is
ha
ble
F
Vs
in
f
r
e
e
z
e
r
c
ontaine
r
,
int
e
ll
e
c
tual
obs
e
r
va
ti
on
on
c
r
uc
ial
s
oc
ial
f
a
c
tor
s
li
ke
hot,
moi
s
tur
e
leve
l,
c
a
r
bon
dioxi
de
,
including
lum
inou
s
leve
l
is
r
e
quir
e
d
[
6]
.
T
he
r
e
a
r
e
s
e
ve
r
a
l
unique
te
c
hniques
in
the
f
ield
of
c
old
s
tor
a
ge
s
ys
tem
that
include
s
opti
mi
z
a
ti
on
a
lgor
it
hms
[
7]
,
nove
l
int
e
ll
igent
m
onit
or
ing
s
ys
tem,
a
nd
int
e
ll
igent
c
ooli
ng
s
ys
tem
us
ing
de
s
ign
c
ha
nge
s
in
induction
mot
o
r
[
8]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
S
N
:
2088
-
8708
I
nt
J
E
lec
&
C
omp
E
ng
,
Vol
.
15
,
No.
1
,
F
e
br
ua
r
y
20
25
:
89
-
98
90
C
ool
de
pos
it
or
y
is
a
us
e
f
ul
tac
ti
c
to
p
r
e
s
e
r
ve
the
c
a
li
br
e
of
pe
r
is
ha
ble
goods
f
r
o
m
manuf
a
c
tur
e
to
c
ons
umpt
ion
[
9]
.
He
r
e
,
mi
nim
izing
the
dr
op
of
p
utr
e
f
iable
goods
na
mely
F
Vs
,
s
e
ns
it
ive
pe
r
s
ons
is
our
top
pr
ior
it
y
.
W
e
moni
tor
e
nvir
onmenta
l
f
a
c
tor
s
withi
n
c
old
s
tor
a
ge
in
r
e
a
l
ti
me
in
view
of
e
xe
c
uti
ng
it
.
T
his
s
tudy
de
s
c
r
ibes
a
n
int
e
r
ne
t
of
thi
ngs
(
I
o
T
)
s
up
por
ted
ins
tanta
ne
ous
int
e
ll
igent
s
ur
ve
il
lanc
e
a
nd
a
ler
ti
ng
s
ys
tem
f
or
s
e
ve
r
a
l
e
nvir
onmenta
l
pa
r
a
mete
r
s
,
incl
uding
c
or
r
e
lative
moi
s
tnes
s
,
il
lum
ination
ve
locity
,
a
mbi
e
nt
tempe
r
a
tur
e
,
a
nd
ga
s
a
gglom
e
r
a
ti
on
in
f
r
os
ty
e
nvir
onments
[
10]
,
[
11]
.
F
igur
e
1
de
picts
how
r
e
a
l
ti
me
int
e
ll
igent
moni
to
r
ing
a
nd
noti
f
ica
ti
on
s
ys
tem
(
R
T
-
I
M
NS)
f
unc
ti
ons
in
the
F
V
s
upply
c
ha
in.
F
oll
owing
c
ult
ivation
,
F
Vs
a
r
e
tr
a
ns
por
ted
r
ight
a
wa
y.
T
he
y
a
r
e
f
ir
s
t
ke
p
t
in
c
old
s
tor
a
ge
,
whe
r
e
goods
may
be
ke
pt
f
or
a
s
hor
t
o
r
long
ti
me
,
be
f
or
e
be
ing
s
e
nt
to
a
gr
oc
e
r
y
s
tor
e
,
whe
r
e
c
ons
umer
s
pick
them
up.
T
he
s
ugge
s
ted
method
u
s
e
s
a
n
R
T
-
I
M
NS
s
e
ns
or
de
vice
ins
talled
in
c
old
s
tor
a
ge
to
mea
s
ur
e
e
nvir
onmenta
l
f
a
c
tor
s
in
r
e
a
l
t
im
e
.
T
he
s
e
va
lues
a
r
e
s
e
nt
to
a
c
loud
da
taba
s
e
via
E
S
P
-
W
R
OO
M
-
32,
whe
r
e
they
will
be
ke
pt.
Us
ing
the
R
T
-
I
M
NS
Andr
oid
a
pp,
s
taf
f
membe
r
s
may
ke
e
p
a
n
e
ye
on
thes
e
e
nvir
onmenta
l
f
a
c
tor
s
a
nd
ve
r
i
f
y
the
c
ondit
ion
of
c
omm
odit
ies
a
nti
c
ipate
d
by
pr
e
diction
models
a
t
a
ny
ti
me,
f
r
om
a
ny
loca
ti
on
.
Unlike
pr
e
vious
pr
oc
e
dur
e
s
,
c
old
s
tor
a
ge
doe
s
not
ne
e
d
s
taf
f
to
be
phys
ica
ll
y
pr
e
s
e
nt.
B
e
c
a
us
e
the
e
nc
ir
c
li
ng
c
ondit
ions
in
c
ool
de
pos
it
or
y
a
r
e
a
utom
a
ti
c
a
ll
y
moni
to
r
e
d
in
ins
tanta
ne
ous
,
taking
ti
mely
a
c
ti
on
ha
s
be
c
ome
e
a
s
ier
.
F
igur
e
1.
R
T
-
I
M
NS
f
ood
s
upply
c
ha
in
2.
P
ROP
OS
E
D
S
Y
S
T
E
M
2.
1.
Ob
j
e
c
t
ive
of
t
h
e
p
r
op
os
e
d
s
ys
t
e
m
T
he
int
e
r
ne
t
of
thi
ngs
is
a
mong
the
mos
t
e
f
f
e
c
ti
ve
tec
hnologi
e
s
f
or
mana
ging,
r
e
gulating,
a
nd
int
e
ns
if
y
s
upply
c
ha
in
pe
r
f
o
r
manc
e
[
12
]
.
T
he
d
e
vice
he
lps
to
tr
a
c
e
the
plac
e
of
the
pr
oduc
t
,
while
the
wir
e
les
s
s
e
ns
or
s
he
lp
to
r
e
gulate
e
nvir
onmenta
l
f
a
c
tor
s
li
ke
tempe
r
a
tur
e
a
nd
humi
dit
y
,
a
c
c
or
di
ng
to
the
a
uthor
s
who
de
mons
tr
a
ted
a
n
int
e
r
f
a
c
e
f
o
r
c
ons
umi
ng
the
I
o
T
to
s
ur
ve
il
a
nd
c
ontr
ol
a
wa
r
e
hous
e
[
13]
–
[
15]
.
T
e
mper
a
tur
e
a
c
c
ur
a
c
y
c
las
s
,
whic
h
c
a
tegor
ize
s
te
mper
a
tur
e
r
e
c
or
ding
s
ys
tems
,
is
one
of
the
s
tanda
r
ds
that
a
moni
tor
ing
s
ys
tem
mus
t
s
a
ti
s
f
y
[
16]
.
T
he
s
ugge
s
ted
a
ppr
oa
c
h
is
uti
li
z
e
d
to
lowe
r
the
pe
r
is
ha
ble
goods
'
r
a
te
of
los
s
in
the
c
old
s
tor
a
ge
a
r
e
a
.
Ut
il
izing
a
mbi
e
nt
c
ondit
ion
moni
to
r
ing
s
e
ns
or
s
,
output
de
vice
s
,
a
ls
o
an
e
mbedde
d
c
ontr
oll
e
r
with
wir
e
les
s
loca
l
a
r
e
a
ne
twor
k
(
W
L
AN
)
e
f
f
e
c
ti
ve
ne
s
s
,
da
ta
may
be
a
c
c
e
s
s
e
d
f
r
om
the
c
loud
a
t
a
ny
ti
me
a
nd
uploade
d
to
a
Google
S
pr
e
a
d
S
he
e
t.
2.
2.
B
lock
d
iagram
o
f
RT
-
I
M
NS
T
he
r
e
s
e
a
r
c
h
methodology
is
pr
ov
ided
in
the
F
i
gur
e
2.
T
he
methodology
e
xplains
the
r
e
s
e
a
r
c
h
de
s
ign,
r
e
pe
a
table
r
e
s
e
a
r
c
h
pr
oc
e
s
s
e
s
,
a
nd
da
ta
s
umm
a
r
iza
ti
on
a
nd
a
na
lys
is
tec
hnique
s
.
T
he
E
S
P
8
266
is
a
c
os
t
-
e
f
f
e
c
ti
ve
Wi
-
F
i
mi
c
r
oc
ontr
oll
e
r
f
o
r
I
oT
a
pp
li
c
a
ti
ons
.
T
he
block
diagr
a
m
of
R
T
-
I
M
NS
il
lus
t
r
a
tes
the
inf
or
mation
f
low
a
mong
va
r
ious
s
e
ns
or
s
li
ke
M
Q
-
135
f
o
r
a
i
r
qua
li
ty,
DH
T
-
11
f
or
tempe
r
a
tu
r
e
a
nd
h
umi
dit
y,
Evaluation Warning : The document was created with Spire.PDF for Python.
I
nt
J
E
lec
&
C
omp
E
ng
I
S
S
N:
2088
-
8708
De
v
e
lopme
nt
of
an
int
e
r
ne
t
of
thi
ngs
bas
e
d
s
mar
t
c
old
s
tor
age
w
it
h
…
(
Sugany
a
A
ngappan
)
91
li
ght
-
de
pe
nde
nt
r
e
s
is
tor
(
L
DR
)
f
or
li
ght
in
tens
it
y.
T
he
c
oll
e
c
ted
a
na
log
s
ignals
a
r
e
c
onve
r
ted
int
o
digi
tal
s
ignals
in
da
ta
a
c
quis
it
ion
unit
.
T
his
da
ta
is
pr
o
c
e
s
s
e
d
in
mi
c
r
oc
ontr
oll
e
r
f
or
de
c
is
ion
making
b
a
s
e
d
on
pr
e
de
f
ined
th
r
e
s
hold
va
lues
.
F
ur
the
r
mor
e
,
thes
e
d
a
ta
a
r
e
s
tor
e
d
in
da
ta
ba
s
e
f
or
his
tor
ica
l
a
na
lys
is
a
nd
a
ll
ow
us
e
r
int
e
r
f
a
c
e
to
v
is
ua
li
z
e
da
ta
a
nd
to
s
e
nd
a
ler
ts
to
e
nd
us
e
r
s
.
F
igur
e
2.
B
lock
r
e
p
r
e
s
e
ntation
of
the
pr
opos
e
d
R
T
-
I
M
NS
2.
3.
Cir
c
u
it
d
iagram
of
p
r
op
os
e
d
RT
-
I
M
NS
s
ys
t
e
m
T
he
c
ir
c
uit
diagr
a
m
o
f
the
s
ugge
s
ted
method
is
de
picte
d
in
the
F
igur
e
3.
T
he
c
ir
c
uit
diag
r
a
m
c
ompr
is
e
s
of
va
r
ious
c
omponents
a
nd
the
da
ta
c
oll
e
c
ted
f
r
om
va
r
ious
s
e
ns
or
s
a
r
e
pr
oc
e
s
s
e
d
in
the
mi
c
r
oc
ontr
oll
e
r
,
whic
h
s
e
r
ve
a
s
the
c
e
ntr
a
l
p
r
oc
e
s
s
ing
unit
.
F
or
r
e
mot
e
moni
to
r
ing
a
nd
c
ont
r
ol,
W
i
-
F
i
modul
e
is
us
e
d
to
c
omm
unica
te
with
a
us
e
r
int
e
r
f
a
c
e
.
I
n
a
ddit
ion
to
that,
a
ler
t
mec
ha
nis
m
is
pr
ovided
in
t
e
r
ms
of
li
quid
c
r
ys
tal
dis
play
(
L
C
D)
dis
play
to
a
ler
t
us
e
r
whe
n
pr
e
de
f
ined
thr
e
s
hold
li
mi
ts
a
r
e
met.
T
his
int
e
r
c
onne
c
ted
s
ys
tem
e
na
bles
r
e
a
l
ti
me
moni
tor
in
g
to
us
e
r
s
.
F
igur
e
3.
C
ir
c
uit
diagr
a
m
o
f
the
pr
opos
e
d
R
T
-
I
M
NS
s
ys
tem
2.
4.
F
low
d
iagram
of
p
r
op
os
e
d
RT
-
I
M
NS
s
ys
t
e
m
T
he
f
lowc
ha
r
t
r
e
pr
e
s
e
ntation
of
the
invente
d
s
c
he
me
is
de
picte
d
in
F
igu
r
e
4
.
T
he
r
e
a
r
e
two
main
blocks
in
the
de
picte
d
F
igur
e
4.
T
he
c
e
ns
or
ing
wit
h
c
ontr
oll
ing
block
a
nd
the
a
lgor
it
hmi
c
block
wi
th
da
taba
s
e
s
tor
a
ge
a
nd
dis
play.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
S
N
:
2088
-
8708
I
nt
J
E
lec
&
C
omp
E
ng
,
Vol
.
15
,
No.
1
,
F
e
br
ua
r
y
20
25
:
89
-
98
92
F
igur
e
4.
F
lowc
ha
r
t
of
the
pr
opos
e
d
R
T
-
I
M
NS
s
ys
tem
3.
RE
S
E
AR
CH
M
E
T
HO
D
3.
1.
M
on
it
or
in
g
u
n
it
T
wo
unit
s
,
a
mon
it
or
ing
unit
a
nd
a
c
ont
r
oll
ing
uni
t,
make
up
the
pr
oc
e
s
s
ing
s
ys
tem.
All
s
e
ns
or
da
ta
is
ga
ther
e
d
by
the
moni
tor
ing
unit
,
whic
h
then
upl
oa
ds
the
number
s
to
Google
S
he
e
ts
e
ve
r
y
th
r
e
e
s
e
c
onds
in
a
va
r
iety
of
f
or
mats
,
including
M
icr
os
of
t
E
xc
e
l,
ope
n
doc
ument
,
P
DF,
c
omm
a
s
e
pa
r
a
ted
number
s
,
a
nd
tab
s
e
pa
r
a
ted
va
lues
.
T
he
va
lues
a
r
e
pr
oc
e
s
s
e
d
to
pr
ovide
a
f
inal
s
tatus
on
the
pr
oduc
t
qua
li
ty
a
nd
e
nvir
o
nmenta
l
f
a
c
tor
s
f
or
c
old
s
tor
a
ge
a
s
:
e
xc
e
ll
e
nt,
moder
a
te,
or
poor
.
3.
2.
Cont
r
oll
in
g
u
n
it
T
he
c
ontr
oll
ing
unit
plays
a
vit
a
l
r
ole
in
pr
oc
e
s
s
ing
the
s
e
ve
r
a
l
da
ta
c
oll
e
c
ted
f
r
om
va
r
ious
s
e
n
s
or
s
.
T
he
c
ontr
ol
unit
ga
ther
s
a
ll
the
da
ta
a
nd
s
e
nds
it
to
the
a
lgor
it
hm
block
,
whic
h
is
a
s
e
t
of
ins
tr
uc
ti
ons
that,
de
pe
nding
on
the
p
r
oduc
t
type
,
c
onduc
ts
a
c
ti
vit
ie
s
li
ke
tur
ning
on
a
nd
of
f
the
e
xha
us
t
s
ys
tem
a
nd
the
a
ir
-
c
ooli
ng
s
ys
tem.
T
his
is
done
to
r
e
gulate
the
a
mbi
e
nt
c
ondit
ions
in
the
s
tor
a
ge
unit
f
or
the
s
pe
c
if
ic
pr
oduc
ts
.
I
n
a
ddit
ion
,
f
e
e
dba
c
k
mec
ha
nis
m
is
incor
por
a
ted
i
n
the
s
ys
tem
f
or
be
tt
e
r
pe
r
f
or
manc
e
ba
s
e
d
on
us
e
r
input
s
or
c
ha
nge
in
e
nvir
onmenta
l
a
s
pe
c
ts
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
nt
J
E
lec
&
C
omp
E
ng
I
S
S
N:
2088
-
8708
De
v
e
lopme
nt
of
an
int
e
r
ne
t
of
thi
ngs
bas
e
d
s
mar
t
c
old
s
tor
age
w
it
h
…
(
Sugany
a
A
ngappan
)
93
3.
3
.
Hardwar
e
c
om
p
o
n
e
n
t
s
of
t
h
e
s
ys
t
e
m
3.
3
.
1.
M
icr
oc
on
t
r
oll
e
r
-
E
S
P
8266
A
c
he
a
p,
s
im
ple,
s
mall,
a
nd
low
-
powe
r
e
d
W
i
-
F
i
modul
e
that
c
a
n
ha
ve
both
the
mes
s
a
ge
que
uing
tele
metr
y
tr
a
ns
por
t
(
M
QT
T
)
a
nd
s
e
r
ial
pr
otocols
is
the
e
s
pr
e
s
s
if
s
ys
tem
E
S
P
8266
a
s
de
picte
d
in
F
igur
e
5,
a
ls
o
known
a
s
the
E
S
P
8266
wir
e
les
s
tr
a
ns
c
e
iver
.
I
t
c
onne
c
ts
the
I
oT
-
ba
s
e
d
c
ontr
ol
(
I
oT
-
B
C
)
pe
r
ip
he
r
a
ls
to
the
c
loud
plat
f
or
m
a
nd
the
int
e
r
ne
t
[
17
]
,
[
18
]
.
T
he
E
S
P
8266
hos
ts
a
ppli
c
a
ti
ons
,
whic
h
launc
h
ins
tantly
f
r
om
the
f
las
h.
T
he
opti
mi
z
e
d
ut
il
iza
ti
on
of
memor
y
is
s
uppor
ted
by
the
int
e
gr
a
ted
high
-
s
pe
e
d
c
a
c
he
.
T
he
c
ompac
t
f
or
m
r
e
moves
the
ne
e
d
f
o
r
lar
ge
pr
int
e
d
c
ir
c
uit
boa
r
ds
(
P
C
B
s
)
.
F
igur
e
5.
B
lock
diagr
a
m
of
E
S
P
8266
3.
3
.
2.
T
e
m
p
e
r
at
u
r
e
an
d
h
u
m
id
i
t
y
s
e
n
s
or
DH
T
11
is
a
s
tanda
r
d
s
e
ns
ing
e
quipm
e
nt
to
de
ter
mi
ne
the
he
a
t
a
nd
humi
d
leve
l.
S
e
l
f
-
s
upe
r
vis
ion
leve
l
of
the
c
ool
de
pos
it
or
y
a
nd
ha
ndli
ng
mus
t
be
im
pr
ove
d
f
o
r
f
ur
ther
r
e
in
f
or
c
e
ment,
a
nd
the
pe
r
f
or
manc
e
e
xpe
ns
e
s
mus
t
be
s
igni
f
ica
ntl
y
r
e
duc
e
d,
i
f
we
p
r
o
c
e
e
d
to
move
the
r
e
f
r
iger
a
tor
indus
tr
y
towa
r
d
a
s
hielde
d,
r
e
gulate
d,
a
tm
os
phe
r
ic
de
f
e
ns
e
,
f
ue
l
-
e
f
f
icie
nt,
a
p
pr
opr
iate
be
ha
vior
,
a
nd
plain
f
or
m
of
de
ve
lopm
e
nt
[
19]
,
[
20]
.
T
he
s
e
ns
or
tr
a
ns
mi
ts
tempe
r
a
tur
e
a
nd
humi
d
it
y
da
ta
s
e
r
ially
a
nd
include
s
a
n
8
-
bit
mi
c
r
opr
oc
e
s
s
or
a
nd
ne
ga
ti
ve
tempe
r
a
tur
e
c
oe
f
f
icie
nt
(
NT
C
)
f
o
r
he
a
tne
s
s
qua
nti
f
ica
ti
on.
I
t
is
plain
to
bind
the
s
e
ns
or
to
dif
f
e
r
e
nt
mi
c
r
oc
ontr
oll
e
r
s
be
c
a
us
e
it
ha
s
be
e
n
f
ull
y
c
a
li
b
r
a
ted.
T
he
s
e
ns
or
ha
s
a
2
°C
a
nd
2
%
a
c
c
ur
a
c
y
a
nd
c
a
n
mea
s
ur
e
he
a
t
f
r
om
z
e
r
o
de
gr
e
e
to
f
if
ty
de
gr
e
e
C
e
ls
ius
a
nd
humi
d
leve
ls
f
r
om
twe
nty
pe
r
c
e
ntage
s
to
8
0%
[
21
]
.
T
he
mentioned
s
e
ns
ing
e
quipm
e
nt
is
made
up
of
a
s
tor
a
ge
e
leme
nt
f
or
identif
ying
humi
dit
y
a
nd
a
r
e
s
is
tanc
e
ther
mom
e
ter
f
or
c
a
lcula
ti
ng
he
a
t
s
hown
in
F
ig
ur
e
6.
Amongs
t
the
2
e
lec
tr
ode
s
of
the
hu
mi
d
de
tec
tor
c
a
pa
c
it
or
,
ther
e
is
a
non
-
c
onduc
ti
ng
medium
to
ho
ld
moi
s
tur
e
.
T
he
R
r
a
te
de
c
r
e
a
s
e
s
a
s
the
he
a
t
r
is
e
s
be
c
a
us
e
thi
s
s
e
ns
ing
e
leme
nt
uti
li
z
e
s
a
NT
C
r
e
s
is
tan
c
e
ther
mom
e
ter
to
mea
s
ur
e
he
a
t.
R
r
is
e
s
f
or
a
s
mall
c
ha
nge
in
he
a
t
[
22]
.
T
he
DH
T
11's
s
pe
c
if
ica
ti
ons
a
r
e
li
s
ted
be
low.
−
W
or
king
volt
a
ge
:
3
.
50
to
5.
75
V
−
W
or
king
c
ur
r
e
nt:
0.
3
mA
(
mea
s
ur
ing)
60
µ
A
(
s
tandby)
−
Output:
s
e
r
ial
da
ta
−
W
or
king
tempe
r
a
tur
e
:
0
°C
to
55
°C
−
Humidi
ty
r
a
nge
:
10
%
to
85%
−
R
e
s
olut
ion:
16
-
bit
−
Ac
c
ur
a
c
y:
±
2
°C
f
or
tempe
r
a
tur
e
a
nd
±
2%
f
o
r
hum
idi
ty
3.
3
.
3.
L
I
s
e
n
s
or
–
L
DR
m
od
u
le
B
y
de
tec
ti
ng
the
e
c
s
tatic
vit
a
li
ty
whic
h
pr
e
va
il
s
i
n
the
e
xtr
e
mely
c
ons
tr
a
ined
s
e
t
o
f
pe
r
iodi
c
c
yc
les
that
a
r
e
c
omm
only
de
noted
to
be
il
lum
inous
,
a
ls
o
t
his
r
a
nge
o
f
pe
r
iodi
c
c
yc
le
whic
h
s
tar
ts
f
r
om
I
R
ti
l
l
vis
ibl
e
e
xtende
d
ti
ll
UV
,
the
a
bove
de
vice
ge
ne
r
a
tes
O/
P
s
ign
to
s
pe
c
if
y
the
s
tr
e
ngth
o
f
il
lum
inous
is
s
hown
in
F
igur
e
7
.
L
DR
modul
e
c
ha
nge
s
it
s
r
e
s
is
tanc
e
ba
s
e
d
the
li
ght
int
e
ns
it
y
that
f
a
ll
s
on
it
,
making
the
s
ys
tem
to
a
c
t
on
va
r
iations
in
li
ghti
ng
.
T
his
modul
e
c
ontr
ibut
e
s
in
e
ne
r
gy
c
ons
e
r
va
ti
on
a
nd
a
ls
o
in
s
e
c
ur
it
y
a
s
pe
c
ts
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
S
N
:
2088
-
8708
I
nt
J
E
lec
&
C
omp
E
ng
,
Vol
.
15
,
No.
1
,
F
e
br
ua
r
y
20
25
:
89
-
98
94
3.
3
.
4.
Air
q
u
ali
t
y
s
e
n
s
or
–
M
Q135
T
he
M
Q
-
135
a
s
s
hown
in
F
igur
e
8
is
a
n
a
ir
qua
li
ty
s
e
ns
or
(
C
6
H
6
)
,
a
nd
C
O
2
[
23]
.
T
his
one
f
r
om
the
M
Q
f
a
mi
ly
f
e
a
tur
e
s
both
a
D/A
O/P
por
t
.
I
f
th
e
leve
l
o
f
pr
e
mentioned
c
he
mi
c
a
ls
s
hoots
up
a
b
ove
the
pr
e
s
c
r
ibed
r
a
te,
the
D
po
r
t
r
e
a
c
ts
im
media
tely.
T
hi
s
r
a
te
will
c
ha
nge
by
im
pleme
nti
ng
va
r
iable
r
e
s
is
tanc
e
.
An
a
na
log
volt
a
ge
is
pr
oduc
e
d
by
the
a
na
log
outpu
t
pin
a
nd
c
a
n
be
us
e
d
to
c
a
lcula
te
the
c
onc
e
ntr
a
ti
ons
of
a
tm
os
phe
r
ic
ga
s
e
s
.
T
he
modul
e
de
picte
d
in
F
igur
e
9
loca
tes
da
nge
r
ou
s
poll
utants
in
the
a
ir
in
r
e
s
idenc
e
s
a
nd
bus
ines
s
e
s
.
T
in
diox
ide
(
S
nO
2
)
,
whic
h
make
s
up
the
c
onduc
ti
vit
y
of
the
s
e
ns
or
unit
's
ga
s
s
e
ns
or
laye
r
,
whic
h
is
les
s
than
that
of
unpo
ll
uted
ha
ir
,
r
is
e
s
in
r
e
s
pons
e
to
a
i
r
p
oll
uti
on.
A
ti
ny
potentiom
e
ter
buil
t
ins
ide
the
a
ir
qua
li
ty
s
e
ns
or
e
na
bles
the
us
e
r
to
a
djus
t
the
load
r
e
s
is
tanc
e
of
the
s
e
ns
or
c
ir
c
uit
.
A
5
V
powe
r
s
our
c
e
powe
r
s
the
a
ir
qua
li
ty
s
e
ns
or
.
I
t
mus
t
be
he
a
ted
up
in
or
de
r
to
p
r
o
duc
e
tr
us
twor
thy
r
e
s
ult
s
.
F
igur
e
6.
R
e
pr
e
s
e
ntation
of
DH
T
11
F
igur
e
7.
L
DR
s
e
ns
or
F
igur
e
8.
M
Q
-
135
F
igur
e
9.
R
e
pr
e
s
e
ntation
of
a
i
r
qua
li
ty
s
e
ns
or
4.
RE
S
UL
T
S
AN
D
DI
S
CU
S
S
I
ON
I
mpl
e
menting
a
n
I
oT
-
ba
s
e
d
modul
e
yields
s
ubs
t
a
nti
a
l
be
ne
f
it
s
in
ter
ms
of
ope
r
a
ti
ona
l
e
f
f
icie
nc
y,
pr
oduc
t
qua
li
ty
a
s
s
ur
a
nc
e
,
a
nd
r
e
gulato
r
y
c
ompl
ia
nc
e
.
S
take
holder
s
c
a
n
us
e
I
oT
tec
hnology
to
opti
mi
z
e
c
old
s
tor
a
ge
mana
ge
ment
methods
,
c
ut
c
os
ts
,
a
nd
im
pr
ove
ove
r
a
ll
bus
ines
s
r
e
s
il
ienc
e
in
the
f
a
c
e
of
c
ha
nging
mar
ke
t
de
mands
a
nd
e
nvir
onmenta
l
p
r
oblems
.
T
o
de
duc
t
the
de
pr
ivation
o
f
pu
tr
e
f
iable
it
e
ms
in
c
ool
de
pos
it
or
y,
we
e
xhibi
ted
a
n
int
e
ll
igent
s
ys
tem
f
or
ins
tanta
ne
ous
s
ur
ve
il
lanc
e
a
nd
a
ler
ti
ng
us
ing
a
n
I
oT
-
e
na
bled
method.
T
his
s
ys
tem
a
utom
a
ti
c
a
ll
y
moni
tor
e
d
the
tempe
r
a
tur
e
of
the
ins
ide
a
nd
e
xter
ior
a
tm
os
phe
r
e
s
,
a
s
we
ll
a
s
the
int
e
r
na
l
R
H,
C
O
2
,
C
2
H
4
,
a
nd
a
mbi
e
nt
li
ght
int
e
ns
it
y
leve
l
a
nd
a
ler
ts
us
e
r
s
to
uns
a
f
e
e
nvir
onmenta
l
pa
r
a
mete
r
thr
e
s
holds
s
uc
h
a
s
hotnes
s
,
pa
r
a
ll
e
l
moi
s
tnes
s
,
ga
s
leve
l,
a
nd
il
lum
ination
leve
l.
I
n
a
ddit
ion
,
the
table
wi
ll
dis
play
pr
e
s
e
nted
da
ta
s
uc
h
a
s
tempe
r
a
tur
e
,
ga
s
leve
l
,
a
nd
hu
mi
dit
y.
I
t
wor
ke
d
on
bo
th
the
de
s
ign
a
nd
the
L
C
D
s
c
r
e
e
n.
T
he
tempe
r
a
tur
e
r
a
nge
s
f
r
om
40
°F
to
120
°F
,
the
moi
s
tur
e
leve
l
r
a
nge
s
f
r
om
10
%
to
100
%
,
the
ga
s
leve
l
dif
f
e
r
f
r
om
C
O
2
f
r
om
0
to
5
,
000
ppm
a
nd
L
it
hium
f
r
o
m
100
to
5
,
000
ppm/
L
um
a
nd
the
li
ght
int
e
ns
it
y
r
a
nge
s
f
r
om
162
to
171.
T
he
ga
ther
e
d
da
ta
is
dis
playe
d
in
T
a
bl
e
1.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
nt
J
E
lec
&
C
omp
E
ng
I
S
S
N:
2088
-
8708
De
v
e
lopme
nt
of
an
int
e
r
ne
t
of
thi
ngs
bas
e
d
s
mar
t
c
old
s
tor
age
w
it
h
…
(
Sugany
a
A
ngappan
)
95
T
a
ble
1.
Da
taba
s
e
output
I
T
e
mpe
r
a
tu
r
e
(
F
)
H
umi
di
ty
(
%
)
L
ig
ht
I
nt
e
ns
it
y
42
82
1
62
42
82
172
45
81.5
1
86
45
82
1
86
45
82
17
0
45
85
170
44
85
170
41
86
1
69
53
90
1
69
51
90
1
69
40
92
1
68
40
80
1
68
60
85
170
62
85
1
69
58
82
170
78
25
1
69
80
23
17
1
68
38
170
70
35
17
1
58
70
1
69
P
e
r
f
or
manc
e
e
va
luation
pr
e
dicts
that
the
s
ugge
s
te
d
s
tr
a
tegy
will
he
lp
pr
e
ve
nt
the
los
s
of
pe
r
is
ha
ble
F
Vs
.
Additi
ona
ll
y,
our
s
ugge
s
ted
method
a
ll
ows
f
or
ins
tanta
ne
ous
s
ur
ve
il
lanc
e
via
a
n
Andr
oid
a
p
pli
c
a
ti
on
r
e
mot
e
ly
a
ll
ti
me.
Additi
ona
ll
y
,
s
ugge
s
ted
R
T
-
I
M
NS
c
r
e
a
tes
a
nd
noti
f
ies
s
taf
f
membe
r
s
of
potentially
ha
z
a
r
dous
e
nvir
onmenta
l
pa
r
a
mete
r
li
mi
tations
s
o
they
c
a
n
take
the
a
ppr
op
r
iate
a
c
ti
on
in
a
ti
mely
manne
r
.
How
e
ve
r
,
c
ur
r
e
nt
moni
to
r
ing
methods
a
r
e
li
mi
ted
to
mea
s
ur
ing
tempe
r
a
tur
e
a
nd
do
not
a
ll
ow
f
or
r
e
a
l
-
ti
me
moni
tor
ing
via
a
n
Andr
oid
a
pp.
F
ur
ther
mor
e
,
the
r
e
is
no
wa
y
to
a
ler
t
s
taf
f
membe
r
s
whe
n
a
ppr
opr
iate
a
c
ti
on
ne
e
ds
to
be
take
n
in
the
e
xis
ti
ng
methods
.
As
de
picte
d
in
F
igu
r
e
10
,
the
f
ir
s
t
g
r
a
phica
l
us
e
r
int
e
r
f
a
c
e
that
dis
plays
whe
n
the
us
e
r
launc
he
s
the
R
T
-
I
M
NS
a
pp
pull
s
ins
tanta
ne
ou
s
s
u
r
r
ounding
f
a
c
tor
s
f
r
om
the
R
T
-
I
M
NS
dir
e
c
tor
y.
B
a
s
e
d
on
r
e
a
d
va
lues
,
the
pr
e
diction
model
de
ter
mi
ne
s
whe
ther
the
c
omm
odit
y's
s
tate
is
good,
uns
a
ti
s
f
a
c
tor
y,
or
f
r
ight
e
ning
whe
n
the
us
e
r
pr
e
s
s
e
s
the
s
tatus
butt
o
n.
T
he
us
e
r
r
e
c
e
ives
a
n
a
utom
a
ted
a
ler
t
f
or
ur
ge
n
t
a
c
ti
on
whe
n
c
ondit
ions
be
c
ome
f
r
igh
tening
or
una
c
c
e
ptable
.
On
the
R
T
-
I
M
NS
a
pp,
us
e
r
s
may
a
ls
o
view
a
gr
a
ph
of
mea
s
ur
e
d
e
nvir
onmenta
l
da
ta
li
ke
tempe
r
a
tur
e
,
hu
mi
dit
y,
C
O2
c
onc
e
ntr
a
ti
on
,
a
nd
li
ght
int
e
ns
it
y
a
s
de
picte
d
in
the
F
igu
r
e
11.
F
igur
e
10.
De
tails
of
moni
tor
e
d
va
lues
in
App
F
igur
e
11.
Gr
a
phica
l
de
piction
in
App
T
he
objec
ti
ve
o
f
the
s
ugge
s
ted
ins
tanta
ne
ous
s
u
r
ve
il
lanc
e
c
um
noti
f
ying
modul
e
is
to
r
a
nk
the
c
omm
odit
y's
pos
it
ion
in
to
thr
e
e
ba
tche
s
:
good
,
s
a
ti
s
f
a
c
tor
y,
o
r
wor
r
ying
.
F
r
om
a
na
lys
is
,
it
wa
s
f
oun
d
that
to
ba
n
ti
nne
d
c
omm
odit
ies
f
r
om
r
ott
ing
,
dil
a
ti
ng,
c
lea
r
a
nc
e
ought
to
be
c
hil
l
a
nd
a
r
id.
T
he
a
ll
owe
d
hotne
s
s
s
c
a
le
is
be
twe
e
n
50
°F
a
nd
59
°F
,
R
ipe
f
r
e
s
h
f
r
u
it
s
a
nd
ve
ge
table
s
s
hould
be
ke
pt
in
s
tor
a
ge
be
twe
e
n
35
°F
a
nd
40
°F
[
24]
.
T
he
be
s
t
tempe
r
a
tur
e
to
pr
e
s
e
r
ve
ba
na
na
s
is
a
t
55
°
F
;
or
a
nge
s
,
39
°
F
to
41
°F
;
a
pples
,
30
°
F
to
39
°
F
[
25]
;
mangos
,
50
°
F
to
55
°
F
;
a
nd
pa
pa
ya
s
,
45
°
F
.
T
his
c
a
n
a
ls
o
be
e
xtende
d
f
or
other
c
omm
odit
ies
.
T
he
s
ugge
s
ted
modul
e
ha
s
be
e
n
e
x
e
c
uted
in
ha
r
dwa
r
e
a
nd
the
s
a
me
ha
s
be
e
n
de
pict
e
d
in
the
F
igur
e
12
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
S
N
:
2088
-
8708
I
nt
J
E
lec
&
C
omp
E
ng
,
Vol
.
15
,
No.
1
,
F
e
br
ua
r
y
20
25
:
89
-
98
96
F
igur
e
1
2
.
Ha
r
dwa
r
e
r
e
pr
e
s
e
ntation
of
the
pr
opos
e
d
s
ys
tem
5.
CONC
L
USI
ON
As
ide
f
r
om
tempe
r
a
tur
e
a
nd
r
e
lative
humi
dit
y
,
p
r
e
s
e
nt
s
tr
a
tegie
s
pr
ohibi
t
ins
tanta
ne
ous
s
ur
ve
il
lanc
e
of
s
e
ve
r
a
l
s
ur
r
ounding
f
a
c
tor
s
.
M
or
e
ove
r
,
not
a
s
ingl
e
method
e
xis
ts
to
a
ler
t
pe
r
s
onne
l,
the
ins
tanta
ne
ous
c
ondit
ion
of
c
omm
odi
ti
e
s
in
c
ool
de
pos
it
or
y
ove
r
ti
me
.
Now
,
a
n
ins
tanta
ne
ous
s
ur
ve
il
lanc
e
a
nd
c
omm
unica
ti
ng
modul
e
in
a
c
c
or
da
nc
e
with
a
n
I
oT
s
uppor
ted
method
a
nd
a
idi
ng
in
be
a
ti
ng
the
de
pr
ivi
ng
of
putr
e
f
iable
c
omm
odit
ies
in
c
ool
de
pos
it
or
y
.
T
he
s
ugge
s
ted
s
ys
tem
e
f
f
icie
ntl
y
moni
tor
s
the
a
mbi
e
nt
e
nvir
onmenta
l
c
ondit
ions
,
ther
e
by
lowe
r
ing
the
hi
gh
los
s
r
a
te.
I
t
moni
tor
s
the
tempe
r
a
tur
e
,
r
e
lative
h
umi
dit
y,
li
ght,
a
nd
f
u
me
qua
nti
ty
to
in
f
or
m
the
e
nt
ir
e
s
ys
tem
whe
n
ther
e
is
a
thr
e
a
t.
F
inally
,
the
c
r
e
a
ti
o
n
of
a
n
int
e
ll
igent
modul
e
in
a
c
c
or
da
nc
e
with
I
oT
in
s
mar
t
c
ool
de
pos
it
or
y
s
ys
tem
with
ne
w
s
ur
ve
il
lanc
e
in
dica
tes
a
vit
a
l
f
or
ge
a
he
a
d
in
the
mana
ge
ment
o
f
pe
r
is
ha
ble
goods
.
T
hr
ough
s
e
a
ml
e
s
s
ly
int
e
gr
a
ti
ng
ha
r
dwa
r
e
,
s
of
twa
r
e
,
a
nd
da
ta
a
na
lyt
ics
,
th
is
r
e
volut
ionar
y
s
ys
tem
a
s
s
ur
e
s
idea
l
s
tor
a
ge
c
ondit
ions
,
im
p
r
ove
s
inventor
y
v
is
ibi
li
ty,
a
nd
r
e
duc
e
s
the
r
is
ks
a
s
s
oc
i
a
ted
with
tempe
r
a
tur
e
c
ha
nge
s
a
nd
s
tock
s
hor
tage
s
.
T
he
s
ys
tem's
a
bil
it
y
to
modi
f
y
a
mbi
e
nt
c
ondit
ions
us
ing
wir
e
les
s
s
e
ns
or
s
a
nd
r
e
a
l
-
ti
me
pa
r
a
mete
r
moni
to
r
ing
wil
l
make
it
indi
s
pe
ns
a
ble
in
the
wa
r
e
hous
e
indus
tr
y
.
W
o
r
ke
r
s
in
the
wa
r
e
hous
e
c
a
n
a
c
c
ur
a
tely
moni
to
r
tem
pe
r
a
tur
e
,
humi
dit
y,
a
nd
ga
s
c
onf
igur
a
ti
on
due
to
the
pr
od
uc
t's
de
pe
nda
bil
it
y
a
nd
quickne
s
s
,
a
ll
owing
them
to
take
pr
e
c
a
uti
ons
a
nd
ke
e
p
f
ood
s
a
f
e
.
Us
ing
a
wir
e
les
s
ne
twor
k
c
a
n
he
lp
you
s
a
ve
s
pa
c
e
,
money,
a
nd
powe
r
.
M
onit
or
ing
s
e
ve
r
a
l
e
leme
nts
r
e
mot
e
ly
a
ll
ows
f
o
r
mor
e
e
f
f
icie
nt
u
ti
li
z
a
ti
on
of
the
labor
a
nd
incr
e
a
s
e
s
pr
oduc
t
qua
li
ty.
B
e
c
a
us
e
of
the
huge
incr
e
a
s
e
in
de
mand
f
or
c
old
s
tor
a
ge
s
e
r
vice
s
,
oc
c
upa
ti
ona
l
s
a
f
e
ty
f
or
wa
r
e
hous
e
e
mpl
oye
e
s
is
be
c
omi
ng
incr
e
a
s
ingl
y
im
po
r
tant.
T
o
e
ns
ur
e
oc
c
upa
ti
ona
l
he
a
lt
h
a
nd
s
a
f
e
ty
in
c
ol
d
s
tor
a
ge
f
a
c
il
it
ies
,
c
ompr
e
he
ns
ive
oc
c
upa
ti
ona
l
s
a
f
e
ty
mana
ge
ment
with
r
e
a
l
-
ti
me
inf
or
mation
s
ha
r
ing
a
nd
in
tegr
a
ti
on
is
r
e
quir
e
d.
W
or
ke
r
s
a
f
e
ty
c
a
n
be
e
ns
ur
e
d
by
pr
ovidi
ng
a
ppr
op
r
iate
a
lar
ms
a
nd
r
e
a
l
-
ti
me
s
it
ua
ti
ona
l
vis
ua
li
z
a
ti
on.
B
y
im
pleme
nti
ng
thi
s
a
ppr
oa
c
h,
p
r
o
duc
ti
vit
y
a
nd
pe
r
f
or
manc
e
a
t
wo
r
k
c
a
n
be
im
pr
ove
d.
RE
F
E
RE
NC
E
S
[
1]
R
.
T
or
r
e
s
-
S
á
nc
he
z
,
M
.
T
.
M
a
r
tí
ne
z
-
Z
a
f
r
a
,
N
.
C
a
s
ti
ll
e
jo
,
A
.
G
ui
ll
a
món
-
F
r
ut
os
,
a
nd
F
.
A
r
té
s
-
H
e
r
ná
nde
z
,
“
R
e
a
l
-
ti
me
moni
to
r
in
g
s
ys
te
m f
or
s
he
lf
-
li
f
e
e
s
ti
ma
ti
on of
f
r
ui
t
a
nd ve
ge
ta
bl
e
s
,”
Se
ns
o
r
s
, vol
. 20, no. 7, M
a
r
. 2020, doi:
10.3390/s
20071860.
[
2]
D
.
E
l
-
R
a
ye
s
,
“
E
f
f
e
c
t
o
f
c
a
r
bon
di
oxi
de
-
e
nr
ic
he
d
a
tm
os
phe
r
e
d
ur
in
g
c
ol
d
s
to
r
a
ge
on
li
mi
ti
ng
a
nt
io
xi
da
nt
lo
s
s
e
s
a
nd
ma
in
ta
in
in
g
qua
li
ty
of
‘
B
a
r
hy’
da
te
f
r
u
it
s
,”
J
our
nal
of
K
in
g
A
bdul
az
iz
U
ni
v
e
r
s
it
y
-
M
e
te
or
ol
og
y
,
E
nv
ir
onm
e
nt
and
A
r
id
L
and
A
gr
ic
ul
t
ur
e
Sc
ie
nc
e
s
, vol
. 20, no. 1, pp. 3
–
22, 2009, doi:
10.4197/m
e
t.
20
-
1.
1.
[
3]
M
.
M
.
B
la
nke
a
nd
R
.
S
he
ka
r
r
iz
,
“
G
ol
d
na
nopa
r
ti
c
le
s
a
nd
s
e
ns
o
r
te
c
hnol
ogy
f
or
s
e
ns
it
iv
e
e
th
yl
e
ne
de
te
c
ti
on,”
A
c
ta
H
or
ti
c
ul
tu
r
ae
,
vol
. 934, pp. 255
–
262, 2012, doi:
10.17660/Ac
ta
H
or
ti
c
.2012.934.31.
[
4]
L
.
M
a
nz
oc
c
o,
B
.
Q
ua
r
ta
,
a
nd
A
.
D
r
i,
“
P
ol
yphe
nol
oxi
da
s
e
in
a
c
t
iv
a
ti
on
by
li
ght
e
xpos
ur
e
in
mode
l
s
ys
te
ms
a
nd
a
ppl
e
de
r
iv
a
ti
ve
s
,
”
I
nnov
at
iv
e
F
ood Sc
ie
nc
e
and E
m
e
r
gi
ng T
e
c
hnol
ogi
e
s
, vol
. 10, no. 4, pp. 506
–
511, 2009, doi:
10.1016/j
.i
f
s
e
t.
2009.02.004.
[
5]
S
.
N
oi
c
hi
nda
,
K
.
B
odhi
pa
dma
,
C
.
M
a
ha
mont
r
i,
T
.
N
a
r
ongr
uk,
a
nd
S
.
K
e
ts
a
,
“
L
ig
ht
dur
in
g
s
to
r
a
ge
pr
e
ve
nt
s
lo
s
s
of
a
s
c
or
bi
c
a
c
id
,
a
nd
in
c
r
e
a
s
e
s
gl
u
c
os
e
a
nd
f
r
uc
to
s
e
le
ve
l
s
in
C
hi
ne
s
e
ka
le
(
B
r
as
s
ic
a
ol
e
r
ac
e
a
v
ar
.
al
bogl
abr
a
)
,”
P
os
th
a
r
v
e
s
t
B
io
lo
gy
and
T
e
c
hnol
ogy
, vol
. 44, no. 3, pp. 312
–
315, 2007, doi:
10.1016/j
.pos
th
a
r
vbi
o.2006.12.006.
[
6]
Y
.
P
.
T
s
a
ng,
K
.
L
.
C
hoy,
C
.
H
.
W
u,
G
.
T
.
S
.
H
o,
H
.
Y
.
L
a
m,
a
nd
P
.
S
.
K
oo,
“
A
n
I
oT
-
ba
s
e
d
c
a
r
go
moni
to
r
in
g
s
ys
te
m
f
or
e
nha
nc
in
g
ope
r
a
ti
ona
l
e
f
f
e
c
ti
ve
ne
s
s
unde
r
a
c
ol
d
c
ha
in
e
nvi
r
onme
nt
,”
I
nt
e
r
nat
io
nal
J
our
nal
of
E
ngi
ne
e
r
in
g
B
us
i
ne
s
s
M
anage
m
e
nt
, vol
. 9, 2017, doi:
10.1177/184797901
7749063.
[
7]
H
.
A
f
r
e
e
n
a
nd
I
.
S
.
B
a
jwa
,
“
A
n
I
oT
-
ba
s
e
d
r
e
a
l
-
ti
me
in
te
ll
ig
e
nt
moni
to
r
in
g
a
nd
not
if
ic
a
ti
on
s
ys
te
m
of
c
ol
d
s
to
r
a
ge
,”
I
E
E
E
A
c
c
e
s
s
,
vol
. 9, pp. 38236
–
38253, 2021, doi:
10.1109/AC
C
E
S
S
.2021.30
56672.
[
8]
E
.
G
ogou,
G
.
K
a
ts
a
r
os
,
E
.
D
e
r
e
ns
,
G
.
A
lv
a
r
e
z
,
a
nd
P
.
S
.
T
a
ouki
s
,
“
C
ol
d
c
ha
in
da
ta
b
a
s
e
de
v
e
lo
pme
nt
a
nd
a
ppl
ic
a
ti
on
a
s
a
to
ol
f
or
th
e
c
ol
d
c
ha
in
m
a
na
ge
me
nt
a
nd
f
ood
qua
li
ty
e
va
lu
a
ti
on,
”
I
nt
e
r
nat
io
nal
J
our
nal
of
R
e
fr
ig
e
r
at
io
n
,
vol
.
52,
pp.
109
–
121,
2
015,
doi
:
10.1016/j
.i
jr
e
f
r
ig
.2015.01.019.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
nt
J
E
lec
&
C
omp
E
ng
I
S
S
N:
2088
-
8708
De
v
e
lopme
nt
of
an
int
e
r
ne
t
of
thi
ngs
bas
e
d
s
mar
t
c
old
s
tor
age
w
it
h
…
(
Sugany
a
A
ngappan
)
97
[
9]
M
.
D
or
a
,
J
.
W
e
s
a
n
a
,
X
.
G
e
ll
ync
k,
N
.
S
e
th
,
B
.
D
e
y,
a
nd
H
.
D
e
S
te
ur
,
“
I
mpor
ta
nc
e
of
s
us
ta
in
a
bl
e
ope
r
a
ti
ons
in
f
ood
lo
s
s
:
e
vi
d
e
n
c
e
f
r
om
th
e
B
e
lg
ia
n
f
ood
pr
oc
e
s
s
in
g
in
dus
tr
y,”
A
nnal
s
of
O
pe
r
at
io
ns
R
e
s
e
ar
c
h
,
vol
.
290,
no.
1
–
2,
pp.
47
–
72,
J
ul
.
2
020,
doi
:
10.1007/s
10479
-
019
-
03134
-
0.
[
10]
B
.
S
a
r
ma
h
a
nd
G
.
A
r
una
,
“
D
e
te
c
ti
on
of
f
ood
qu
a
li
ty
a
nd
qua
nt
i
ty
a
t
c
ol
d s
to
r
a
ge
us
in
g
I
oT
,”
in
2020
I
nt
e
r
nat
io
nal
C
onf
e
r
e
n
c
e
on
W
ir
e
le
s
s
C
om
m
uni
c
at
io
ns
,
Si
gnal
P
r
oc
e
s
s
in
g
and
N
e
tw
or
k
in
g,
W
iS
P
N
E
T
2020
,
2020,
pp.
200
–
203,
doi
:
10.1109/WiS
P
N
E
T
48689.2020.9198348.
[
11]
S
.
G
.
S
r
iv
a
ts
a
,
K
.
R
.
M
.
B
ha
r
a
dw
a
j,
S
.
L
.
A
la
mur
i,
M
.
M
.
C
.
S
ha
ni
f
,
a
nd
H
.
S
.
S
hr
e
e
ni
dhi
,
“
S
ma
r
t
c
ol
d
s
to
r
a
g
e
a
nd
in
ve
nt
or
y
moni
to
r
in
g
s
ys
te
m,”
in
2021
6
th
I
nt
e
r
nat
io
nal
C
onf
e
r
e
nc
e
on
R
e
c
e
nt
T
r
e
nd
s
on
E
le
c
t
r
oni
c
s
,
I
nf
or
m
at
io
n,
C
om
m
uni
c
at
io
n
and
T
e
c
hnol
ogy
, R
T
E
I
C
T
2021
, pp. 485
–
488, 2021, doi:
10.1109/R
T
E
I
C
T
52294.2021.9573939.
[
12]
M
.
E
de
n,
V
. R
a
a
b,
J
. K
r
e
ye
ns
c
hmi
dt
, T
.
H
a
f
li
a
s
on,
G
.
O
la
f
s
dót
ti
r
,
a
nd
S
.
G
.
B
oga
s
on, “
C
ont
in
uous
te
mpe
r
a
tu
r
e
moni
to
r
in
g
a
l
ong
th
e
c
hi
ll
e
d
f
ood
s
uppl
y
c
ha
in
,
”
F
ood
C
hai
n
I
nt
e
gr
it
y
:
A
H
ol
is
ti
c
A
ppr
oac
h
to
F
ood
T
r
ac
e
abi
li
ty
,
Saf
e
ty
,
Q
ual
it
y
and
A
ut
he
nt
ic
it
y
,
pp. 115
–
129, 2011, doi:
10.1016/B
978
-
0
-
85709
-
068
-
3.50008
-
1.
[
13]
A
.
A
li
,
M
.
T
.
M
.
M
uha
mm
a
d,
K
.
S
ij
a
m,
a
nd
Y
.
S
id
di
qui
,
“
E
f
f
e
c
t
of
c
hi
to
s
a
n
c
oa
ti
ngs
on
th
e
phy
s
ic
oc
he
mi
c
a
l
c
ha
r
a
c
te
r
is
ti
c
s
of
E
ks
ot
ik
a
I
I
pa
pa
ya
(
C
ar
ic
a
papay
a
L
.
)
f
r
ui
t
dur
in
g
c
ol
d
s
to
r
a
ge
,”
F
ood
C
he
m
is
tr
y
,
vol
.
124,
no.
2,
pp.
620
–
626,
2
011,
doi
:
10.1016/j
.f
oodc
he
m.2010.06.085.
[
14]
H
.
H
r
omi
c
e
t
al
.
,
“
R
e
a
l
ti
me
a
n
a
ly
s
is
of
s
e
n
s
or
da
ta
f
or
th
e
in
te
r
ne
t
of
th
in
gs
by
me
a
ns
of
c
lu
s
te
r
in
g
a
nd
e
ve
nt
pr
oc
e
s
s
i
ng,”
in
I
E
E
E
I
nt
e
r
nat
io
nal
C
onf
e
r
e
nc
e
on C
om
m
uni
c
at
io
n
s
, vol
. 20
15
-
S
e
pt
e
, pp. 685
–
691, 2015, doi:
10.1109/I
C
C
.2015.7248401.
[
15]
Y
.
O
mur
a
,
A
.
M
a
ll
ik
,
a
nd
N
.
M
a
ts
uo,
“
M
O
S
de
vi
c
e
s
f
or
lo
w
-
vol
ta
ge
a
nd
lo
w
-
e
ne
r
gy
a
ppl
ic
a
ti
ons
,”
M
O
S
D
e
v
ic
e
s
fo
r
L
ow
-
V
ol
ta
ge
and L
ow
-
E
ne
r
gy
A
ppl
ic
at
io
ns
, pp. 1
–
465, 2016, doi:
1
0.1002/9781119107
361.
[
16]
P
.
J
.
S
ous
a
,
P
.
A
b
r
e
u,
a
nd
M
.
R
.
Q
ui
nt
a
s
,
“
M
odul
a
r
s
ys
te
m
f
or
c
ol
d
s
to
r
a
ge
moni
to
r
in
g,”
I
nt
e
r
nat
io
nal
J
our
nal
of
O
nl
in
e
E
ngi
ne
e
r
in
g
, vol
. 12, no. 4, pp. 46
–
48, 2016, doi:
10.3991/i
jo
e
.v12i04.5127.
[
17]
M
.
M
oha
mm
e
d,
K
.
R
ia
d,
a
nd
N
.
A
lq
a
ht
a
ni
,
“
D
e
s
ig
n
of
a
s
m
a
r
t
I
oT
-
ba
s
e
d
c
ont
r
ol
s
ys
te
m
f
or
r
e
mot
e
ly
ma
na
gi
ng
c
ol
d
s
to
r
a
ge
f
a
c
il
it
ie
s
,”
Se
ns
o
r
s
, vol
. 22, no. 13, J
un. 2022, doi:
10.3390/s
22
134680.
[
18]
T
.
L
u
a
nd
Z
.
L
iu
,
“
T
e
mpe
r
a
tu
r
e
c
ont
r
ol
s
ys
te
m
of
c
ol
d
s
to
r
a
ge
,”
in
2015
I
nt
e
r
nat
io
nal
C
onf
e
r
e
nc
e
on
E
le
c
tr
om
e
c
hani
c
al
C
ont
r
ol
T
e
c
hnol
ogy
and T
r
ans
por
ta
ti
on
, 2015, pp. 1
–
6, doi:
10.2991/i
c
e
c
tt
-
15.2015.1.
[
19]
M
.
S
.
S
.
M
it
ka
r
i,
“
A
s
ur
ve
y
pa
pe
r
on
c
ol
d
s
to
r
a
ge
moni
to
r
in
g
s
ys
te
m
us
in
g
I
oT
,”
I
nt
e
r
nat
io
nal
J
our
nal
fo
r
R
e
s
e
ar
c
h
in
A
ppl
ie
d
Sc
ie
nc
e
and E
ngi
ne
e
r
in
g T
e
c
hnol
og
y
, vol
. 8, no. 12, pp. 642
–
645, 2020, doi:
10.22214/i
jr
a
s
e
t.
2020.32582.
[
20]
A
.
P
opa
e
t
al
.
,
“
A
n
in
te
ll
ig
e
nt
I
oT
-
ba
s
e
d
f
ood
qua
li
ty
moni
to
r
in
g
a
ppr
oa
c
h
us
in
g
lo
w
-
c
o
s
t
s
e
ns
or
s
,
”
Sy
m
m
e
tr
y
,
vol
.
11,
no
.
3,
2019, doi:
10.3390/s
ym11030374.
[
21]
N
.
L
oga
na
th
a
n,
A
.
S
e
lv
a
na
ya
ka
m,
P
.
A
nba
r
a
s
u,
a
nd
T
.
L
oge
s
w
a
r
a
n,
“
I
oT
-
ba
s
e
d
e
ne
r
gy
me
te
r
moni
to
r
in
g
s
ys
te
m
f
or
s
us
ta
in
a
bl
e
de
ve
lo
pme
nt
,”
J
our
nal
of
E
nv
ir
onm
e
nt
al
P
r
ot
e
c
ti
on and E
c
ol
ogy
, vol
. 25, no. 1, pp. 182
–
191, 2024.
[
22]
N
.
A
a
r
th
i,
P
.
A
nba
r
a
s
u,
D
.
N
a
g
a
r
a
ja
n,
A
.
S
a
ji
th
a
B
a
nu,
a
nd
M
.
V
in
os
h,
“
G
e
ne
ti
c
ba
s
e
d
f
uz
z
y
lo
gi
c
c
ont
r
ol
of
S
E
D
C
mot
or
,”
in
2023
I
nt
e
r
nat
io
nal
C
onf
e
r
e
nc
e
on
C
om
put
e
r
C
om
m
uni
c
at
io
n
and
I
nf
or
m
at
ic
s
,
I
C
C
C
I
2023
,
pp.
1
–
6,
2
023,
doi
:
10.1109/I
C
C
C
I
56745.2023.10128371.
[
23]
A
.
S
e
lv
a
na
ya
ka
m,
A
.
C
.
V
a
r
is
hn
e
e
,
S
.
D
e
e
pi
ka
,
a
nd
N
.
H
e
m
a
la
th
a
,
“
L
L
C
r
e
s
on
a
nt
c
onve
r
te
r
w
it
h
modi
f
ie
d
ga
in
mode
l
a
nd
s
e
mi
a
c
ti
ve
s
tr
uc
tu
r
e
r
e
c
ti
f
ie
r
,”
J
our
nal
of
A
dv
anc
e
d
R
e
s
e
ar
c
h
in
D
y
nam
ic
al
and
C
ont
r
ol
Sy
s
te
m
s
,
vol
.
10,
no.
12,
pp.
1162
–
1
166,
2018.
[
24]
N
.
M
.
C
hi
ne
nye
,
S
.
I
.
M
a
nuw
a
,
O
.
J
.
O
lu
kunl
e
,
a
nd
I
.
B
.
O
lu
w
a
la
na
,
“
D
e
ve
lo
pme
nt
of
a
n
a
c
ti
ve
e
va
por
a
ti
ve
c
ool
in
g
s
ys
te
m
f
or
s
hor
t
-
te
r
m
s
to
r
a
ge
of
f
r
ui
ts
a
nd
ve
ge
ta
bl
e
in
a
tr
opi
c
a
l
c
li
ma
te
,”
A
gr
ic
ul
tu
r
al
E
ngi
ne
e
r
in
g
I
nt
e
r
nat
io
nal
:
C
I
G
R
J
our
nal
,
vol
.
15,
no. 4, pp. 307
–
313, 2013.
[
25]
K
.
T
u,
B
.
N
i
c
ol
a
ï,
a
nd
J
.
D
e
B
a
e
r
de
ma
e
ke
r
,
“
E
f
f
e
c
ts
of
r
e
la
t
iv
e
humi
di
ty
on
a
ppl
e
qua
li
ty
unde
r
s
im
ul
a
te
d
s
he
lf
te
mpe
r
a
t
ur
e
s
to
r
a
ge
,”
Sc
ie
nt
ia
H
or
ti
c
ul
tu
r
ae
, vol
. 85, no. 3, pp. 217
–
229, 20
00, doi:
10.1016/S
0304
-
4238(
99
)
00148
-
X.
B
I
OG
RA
P
HI
E
S
OF
AU
T
HO
RS
Sug
a
ny
a
A
ng
a
ppa
n
recei
v
ed
h
er
B.
E
.
,
d
eg
ree
i
n
el
ect
ri
ca
l
an
d
el
ec
t
ro
n
i
c
s
en
g
i
n
eer
i
n
g
fro
m
Pav
e
n
d
h
ar
Bh
ara
t
h
i
d
a
s
an
C
o
l
l
eg
e
o
f
E
n
g
i
n
eeri
n
g
a
n
d
T
ec
h
n
o
l
o
g
y
,
T
ami
l
n
a
d
u
i
n
2
0
1
1
an
d
M.
E
.
,
d
e
g
ree
i
n
p
o
w
er
s
y
s
t
ems
fro
m
V
i
v
ek
a
n
an
d
h
a
C
o
l
l
eg
e
o
f
E
n
g
i
n
eeri
n
g
fo
r
W
o
men
,
T
ami
l
N
ad
u
i
n
2
0
1
4
.
Sh
e
h
o
l
d
s
a
Ph
.
D
.
fro
m
A
n
n
a
U
n
i
v
ers
i
t
y
Ch
en
n
ai
.
Cu
rren
t
l
y
,
s
h
e
i
s
w
o
rk
i
n
g
as
as
s
i
s
t
an
t
p
ro
fe
s
s
o
r
i
n
t
h
e
D
e
p
art
me
n
t
o
f
E
l
ect
r
i
cal
an
d
E
l
ec
t
ro
n
i
c
s
E
n
g
i
n
eer
i
n
g
at
D
r.
Ma
h
al
i
n
g
am
Co
l
l
e
g
e
o
f
E
n
g
i
n
eeri
n
g
a
n
d
T
ec
h
n
o
l
o
g
y
,
Po
l
l
ac
h
i
.
H
er
cu
rren
t
res
earch
i
n
t
ere
s
t
i
n
cl
u
d
e
s
p
o
w
er
q
u
a
l
i
t
y
en
h
an
ceme
n
t
,
FA
CT
S
d
e
v
i
ce
s
.
Sh
e
h
as
a
1
y
ear
o
f
i
n
d
u
s
t
r
i
al
e
x
p
er
i
en
ce
an
d
a
t
o
t
al
o
f
7
y
ear
s
o
f
acad
em
i
c
e
x
p
er
i
en
ce.
S
h
e
can
b
e
co
n
t
act
e
d
at
emai
l
:
s
u
g
a
n
y
a
1
1
6
@
d
rmce
t
.
ac.
i
n
.
A
a
rth
i
N
a
t
a
ra
j
recei
v
e
d
h
er
B.
E
.
,
d
eg
ree
i
n
el
ec
t
ri
ca
l
an
d
el
ec
t
ro
n
i
c
s
en
g
i
n
eer
i
n
g
fro
m
PA
Co
l
l
e
g
e
o
f
E
n
g
i
n
eeri
n
g
a
n
d
T
ech
n
o
l
o
g
y
,
T
a
mi
l
N
a
d
u
i
n
2
0
1
3
a
n
d
M.
E
.
,
d
eg
ree
i
n
p
o
w
er
el
ect
r
o
n
i
cs
a
n
d
d
r
i
v
e
s
fro
m
Sri
E
s
h
w
ar
Co
l
l
e
g
e
o
f
E
n
g
i
n
e
eri
n
g
,
Co
i
m
b
at
o
re,
T
am
i
l
N
ad
u
i
n
2
0
1
5
.
Pu
rs
u
i
n
g
h
er
Ph
.
D
.
fro
m
A
n
n
a
U
n
i
v
ers
i
t
y
Ch
en
n
a
i
.
Cu
rren
t
l
y
,
s
h
e
i
s
w
o
rk
i
n
g
as
as
s
i
s
t
an
t
p
ro
fe
s
s
o
r
i
n
t
h
e
D
e
p
art
me
n
t
o
f
E
l
ec
t
ri
ca
l
an
d
E
l
ect
r
o
n
i
cs
E
n
g
i
n
eeri
n
g
a
t
D
r.
Mah
al
i
n
g
am
Co
l
l
e
g
e
o
f
E
n
g
i
n
eer
i
n
g
an
d
T
ec
h
n
o
l
o
g
y
,
Po
l
l
a
ch
i
.
H
er
cu
rren
t
res
earch
i
n
t
ere
s
t
i
n
c
l
u
d
es
p
o
w
er
el
ec
t
ro
n
i
c
co
n
v
er
t
ers
f
o
r
re
n
ew
a
b
l
e
e
n
e
rg
y
s
o
u
r
ces
.
S
h
e
h
a
s
a
t
o
t
al
o
f
5
y
ear
s
o
f
acad
emi
c
e
x
p
er
i
en
ce.
Sh
e
ca
n
b
e
co
n
t
ac
t
ed
at
ema
i
l
:
aart
h
i
n
@
d
rmce
t
.
ac.
i
n
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
S
N
:
2088
-
8708
I
nt
J
E
lec
&
C
omp
E
ng
,
Vol
.
15
,
No.
1
,
F
e
br
ua
r
y
20
25
:
89
-
98
98
Lo
g
a
n
a
tha
n
N
a
v
a
neeth
a
Kri
s
hn
a
n
recei
v
ed
h
er
B.
E
.
,
d
eg
ree
i
n
el
ec
t
ri
ca
l
an
d
el
ect
r
o
n
i
cs
en
g
i
n
e
eri
n
g
fro
m
Reg
i
o
n
a
l
Cen
t
re
o
f
A
n
n
a
U
n
i
v
er
s
i
t
y
Co
i
mb
a
t
o
re
i
n
t
h
e
y
ear
2
0
1
2
,
co
mp
l
et
e
d
mas
t
ers
i
n
p
o
w
er
s
y
s
t
ems
en
g
i
n
eeri
n
g
fro
m
K
S
Ran
g
as
amy
Co
l
l
e
g
e
o
f
T
ech
n
o
l
o
g
y
,
T
i
ru
c
h
en
g
o
d
e
i
n
2
0
1
5
,
a
n
d
co
m
p
l
e
t
ed
P
h
.
D
.
in
el
e
ct
r
i
cal
en
g
i
n
eeri
n
g
fr
o
m
A
n
n
a
U
n
i
v
er
s
i
t
y
,
Ch
e
n
n
a
i
i
n
2
0
2
3
.
H
e
i
s
cu
r
ren
t
l
y
w
o
rk
i
n
g
as
as
s
i
s
t
an
t
p
r
o
fes
s
o
r
i
n
t
h
e
D
e
p
art
me
n
t
o
f
E
l
ec
t
ri
ca
l
an
d
E
l
ec
t
ro
n
i
c
s
E
n
g
i
n
eeri
n
g
,
Sri
K
r
i
s
h
n
a
Co
l
l
e
g
e
o
f
E
n
g
i
n
eer
i
n
g
an
d
T
ech
n
o
l
o
g
y
,
Co
i
m
b
at
o
re.
H
i
s
area
o
f
s
p
ec
i
al
i
zat
i
o
n
i
s
e
n
erg
y
man
ag
eme
n
t
s
y
s
t
em,
i
n
t
e
l
l
i
g
e
n
t
co
n
t
ro
l
l
er
s
i
n
ren
e
w
ab
l
e
en
er
g
y
s
y
s
t
ems
an
d
s
mart
g
r
i
d
.
H
e
h
as
a
t
each
i
n
g
ex
p
er
i
en
ce
o
f
9
Y
ears
.
H
e
can
b
e
co
n
t
act
ed
at
ema
i
l
:
l
o
g
u
k
i
r
s
h
@
g
ma
i
l
.
c
o
m.
A
nba
ra
s
u
P
a
l
a
n
i
s
a
m
y
recei
v
ed
h
i
s
B.
E
.
,
d
eg
ree
i
n
el
ec
t
ri
ca
l
an
d
el
ec
t
ro
n
i
c
s
en
g
i
n
eer
i
n
g
fro
m
V
.
S.
B
E
n
g
i
n
eeri
n
g
Co
l
l
eg
e,
T
ami
l
N
a
d
u
i
n
2
0
0
9
an
d
M.
E
.
,
d
eg
ree
i
n
p
o
w
er
el
ect
r
o
n
i
cs
an
d
d
ri
v
es
fr
o
m
A
n
n
a
U
n
i
v
er
s
i
t
y
Re
g
i
o
n
a
l
Camp
u
s
Co
i
mb
a
t
o
re,
T
am
i
l
N
a
d
u
i
n
2
0
1
3
.
Co
mp
l
et
e
d
Ph
.
D
.
fro
m
A
n
n
a
U
n
i
v
ers
i
t
y
Ch
en
n
ai
i
n
2
0
2
4
.
Cu
rren
t
l
y
,
h
e
i
s
w
o
rk
i
n
g
as
as
s
i
s
t
an
t
p
ro
fe
s
s
o
r
(Sel
ec
t
i
o
n
G
rad
e)
i
n
t
h
e
D
ep
ar
t
men
t
o
f
E
l
ec
t
ri
ca
l
an
d
E
l
ec
t
ro
n
i
c
s
E
n
g
i
n
eeri
n
g
at
Sri
E
s
h
w
ar
Co
l
l
e
g
e
o
f
E
n
g
i
n
eeri
n
g
,
Co
i
mb
at
o
re.
H
i
s
c
u
rren
t
res
earch
i
n
t
er
es
t
s
are
p
o
w
er
e
l
ect
r
o
n
i
cs
fo
r
ren
ew
a
b
l
e
e
n
erg
y
s
o
u
rce
s
,
ev
o
l
u
t
i
o
n
ar
y
al
g
o
ri
t
h
m
s
,
an
d
e
l
ect
r
i
c
v
eh
i
cl
e.
H
e
i
s
l
i
fe
memb
er
o
f
t
h
e
In
d
i
an
So
c
i
et
y
fo
r
T
ech
n
i
ca
l
E
d
u
cat
i
o
n
(IST
E
),
Sy
s
t
em
So
ci
e
t
y
o
f
In
d
i
a
(SSI),
In
t
ern
at
i
o
n
al
A
s
s
o
ci
a
t
i
o
n
o
f
E
n
g
i
n
eer
s
(IA
E
N
G
).
H
e
h
as
2
y
ears
o
f
i
n
d
u
s
t
ri
al
ex
p
eri
e
n
ce
an
d
1
2
y
ear
s
o
f
acad
em
i
c
an
d
res
e
arch
ex
p
er
i
en
ces
.
H
e
h
a
s
co
m
p
l
e
t
ed
4
G
o
v
ern
me
n
t
o
f
In
d
i
a
f
u
n
d
ed
p
r
o
j
ec
t
s
a
n
d
1
CSIR
p
r
o
j
e
ct
.
H
e
h
o
l
d
s
o
n
e
In
d
i
a
n
d
e
s
i
g
n
p
at
e
n
t
.
H
e
can
b
e
co
n
t
ac
t
ed
a
t
emai
l
:
an
b
aras
u
.
p
@
s
ece.
ac.
i
n
.
Evaluation Warning : The document was created with Spire.PDF for Python.