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T
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L
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.
27707
1278
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ttp
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//telko
mn
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.
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a
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G
enAI
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pro
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ra
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m
ing
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sis
tant:
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ca
se stud
y
on
a
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ted
debug
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f
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lit
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m
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Ste
v
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nu
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a
w
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H
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Sa
nto
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mat
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y
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P
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a
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t
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U
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si
t
y
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B
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n
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,
I
n
d
o
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si
a
Art
icle
I
nfo
AB
ST
RAC
T
A
r
ticle
his
to
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y:
R
ec
eiv
ed
Dec
11
,
2025
R
ev
i
s
ed
A
p
r
3
,
2
0
2
6
A
cc
ep
ted
Ma
y
25
,
2026
T
h
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ra
p
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n
sio
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i
n
tern
e
t
o
f
th
in
g
s
(
Io
T
)
tec
h
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o
l
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y
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a
s
n
e
c
e
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it
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ted
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e
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e
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t
o
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se
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y
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ro
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ra
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m
in
g
so
lu
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f
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o
n
–
e
x
p
e
rts.
W
h
il
e
g
e
n
e
ra
ti
v
e
a
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f
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c
ial
in
telli
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Ge
n
A
I
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th
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r
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p
h
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se
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ti
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ica
ti
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n
.
T
h
e
m
e
th
o
d
o
l
o
g
y
w
a
s
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p
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to
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x
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tal
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m
.
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h
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stu
d
y
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ted
th
e
a
rti
f
icia
l
in
telli
g
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n
c
e
(
AI
)
’
s
c
a
p
a
c
it
y
to
d
e
b
u
g
C+
+
c
o
d
e
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n
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e
d
f
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t
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rd
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ra
ted
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v
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lo
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m
e
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t
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n
v
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e
n
t
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IDE
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.
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e
m
in
i
A
I
su
c
c
e
ss
f
u
ll
y
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ti
f
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n
d
re
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lv
e
d
t
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re
e
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rit
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rs
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ro
m
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i
s
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a
n
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g
e
d
M
Q1
3
5
c
a
li
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ra
ti
o
n
v
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riab
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in
c
o
rre
c
t
lo
o
p
se
q
u
e
n
c
in
g
,
a
n
d
d
a
ta
d
e
sy
n
c
h
ro
n
iza
ti
o
n
b
e
tw
e
e
n
th
e
o
r
g
a
n
ic
li
g
h
t
e
m
it
ti
n
g
d
i
o
d
e
(
OL
ED
)
d
isp
lay
a
n
d
th
e
i
n
tern
a
l
sta
t
u
s
lo
g
ic.
G
e
n
A
I
p
ro
v
e
d
e
ffe
c
ti
v
e
a
s
a
p
ro
g
ra
m
m
in
g
a
ss
istan
t
f
o
r
re
so
lv
in
g
b
u
g
s
i
n
I
o
T
a
p
p
li
c
a
ti
o
n
s.
H
o
w
e
v
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r,
e
ff
e
c
ti
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d
e
b
u
g
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in
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stil
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p
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d
s
o
n
w
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ll
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stru
c
tu
re
d
p
ro
m
p
ts
a
n
d
a
b
a
sic
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n
d
e
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n
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i
n
g
o
f
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n
d
e
rly
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g
Io
T
h
a
rd
w
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re
.
K
ey
w
o
r
d
s
:
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to
m
a
ted
d
eb
u
g
g
in
g
Ge
m
i
n
i a
r
ti
f
icial
i
n
telli
g
e
n
ce
Gen
er
ati
v
e
ar
tif
icia
l
in
telli
g
e
n
ce
I
n
ter
n
et
o
f
t
h
i
n
g
s
P
r
o
g
r
am
m
i
n
g
a
s
s
i
s
tan
t
T
h
is i
s
a
n
o
p
e
n
a
c
c
e
ss
a
rticle
u
n
d
e
r th
e
CC B
Y
-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
Stev
e
n
I
m
a
n
u
el
B
a
w
o
le
I
n
f
o
r
m
a
tio
n
T
ec
h
n
o
lo
g
y
,
P
r
ad
ita
Un
i
v
er
s
it
y
Scien
tia
B
u
s
i
n
es
s
P
ar
k
,
Gad
in
g
Ser
p
o
n
g
B
o
u
le
v
ar
d
Stre
et,
No
.
1
T
o
w
er
1
,
C
u
r
u
g
Sa
n
g
er
en
g
Kela
p
a
Du
a
Dis
tr
ict,
T
an
g
er
a
n
g
R
e
g
en
c
y
,
B
an
te
n
1
5
8
1
0
,
I
n
d
o
n
esia
E
m
ail: s
tev
e
n
.
i
m
an
u
el
@
s
tu
d
e
n
t.p
r
ad
ita.
ac
.
id
1.
I
NT
RO
D
UCT
I
O
N
Ma
in
tai
n
i
n
g
t
h
e
r
eliab
ilit
y
an
d
s
p
ee
d
o
f
s
o
f
t
w
ar
e
d
e
m
a
n
d
s
a
m
e
ticu
lo
u
s
f
o
cu
s
o
n
id
en
ti
f
y
in
g
an
d
r
ec
tify
in
g
d
ef
ec
ts
.
Desp
ite
ad
v
an
ce
m
e
n
ts
i
n
d
ev
elo
p
m
en
t
m
et
h
o
d
o
lo
g
ies,
p
er
s
is
ten
t
b
u
g
s
co
n
tin
u
e
to
ca
u
s
e
s
y
s
te
m
cr
as
h
es,
co
m
p
r
o
m
i
s
e
s
ec
u
r
it
y
,
an
d
f
r
u
s
tr
ate
u
s
er
s
w
i
th
an
u
n
s
at
is
f
ac
to
r
y
u
s
er
ex
p
er
ien
ce
[
1
]
.
Ma
n
u
al
d
eb
u
g
g
i
n
g
an
d
s
tatic
r
u
les
ar
e
in
s
u
f
f
icie
n
tl
y
e
f
f
icie
n
t
an
d
s
u
s
ce
p
tib
le
to
er
r
o
r
s
to
ef
f
ec
tiv
el
y
m
a
n
ag
e
t
h
e
in
tr
icate
n
at
u
r
e
o
f
co
n
te
m
p
o
r
ar
y
s
o
f
t
w
ar
e
s
y
s
te
m
s
[
2
]
.
T
h
e
y
en
co
u
n
ter
a
s
ca
lab
ilit
y
li
m
i
ta
tio
n
d
u
e
to
h
u
m
a
n
r
eso
u
r
ce
c
o
n
s
tr
ain
ts
an
d
th
e
p
o
ten
tial
f
o
r
o
v
er
s
ig
h
t.
C
o
n
v
er
s
el
y
,
s
tatic
d
etec
tio
n
m
et
h
o
d
s
ar
e
in
cr
ea
s
in
g
l
y
in
ad
eq
u
ate
i
n
id
en
ti
f
y
in
g
p
r
o
f
o
u
n
d
lo
g
ical
v
u
ln
er
ab
ilit
ie
s
w
i
th
i
n
ex
te
n
s
iv
e
s
y
s
te
m
s
[
3
]
.
T
h
e
r
ap
i
d
ex
p
an
s
io
n
o
f
t
h
e
in
ter
n
et
o
f
t
h
in
g
s
(
I
o
T
)
h
as
d
e
m
o
cr
atize
d
ac
ce
s
s
to
s
o
p
h
is
ticated
h
ar
d
w
ar
e,
y
et
t
h
e
p
r
o
ce
s
s
o
f
f
ir
m
w
ar
e
d
eb
u
g
g
i
n
g
r
e
m
a
in
s
o
n
e
o
f
th
e
m
o
s
t
f
o
r
m
id
ab
l
e
b
ar
r
ier
s
f
o
r
n
o
n
-
ex
p
er
ts
.
Un
li
k
e
tr
ad
itio
n
al
s
o
f
t
w
ar
e
d
ev
elo
p
m
en
t,
w
h
er
e
er
r
o
r
s
a
r
e
o
f
te
n
d
etec
ted
i
n
co
n
tr
o
lled
v
ir
tu
a
l
en
v
ir
o
n
m
e
n
t
s
,
I
o
T
d
e
b
u
g
g
i
n
g
n
ec
es
s
itates a
p
r
o
f
o
u
n
d
u
n
d
er
s
tan
d
in
g
o
f
th
e
in
ter
p
la
y
b
et
w
e
en
p
h
y
s
ical
s
i
g
n
a
ls
an
d
d
ig
ital
lo
g
ic.
Fo
r
n
o
v
ice
s
,
th
e
tr
an
s
itio
n
f
r
o
m
w
r
iti
n
g
b
asic
co
d
e
to
d
iag
n
o
s
i
n
g
a
r
ac
e
co
n
d
itio
n
o
r
a
m
e
m
o
r
y
l
ea
k
o
n
a
r
e
m
o
te
m
icr
o
co
n
tr
o
ller
ca
n
b
e
o
v
er
w
h
el
m
i
n
g
.
T
h
is
tec
h
n
ical
co
m
p
l
ex
it
y
o
f
te
n
h
i
n
d
er
s
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
Gen
A
I
a
s
a
n
I
o
T p
r
o
g
r
a
mmin
g
a
s
s
is
ta
n
t:
a
ca
s
e
s
tu
d
y
o
n
a
u
to
ma
ted
d
eb
u
g
g
i
n
g
…
(
S
teve
n
I
ma
n
u
el
B
a
w
o
le
)
1279
in
n
o
v
atio
n
,
a
s
t
h
e
in
ab
ili
t
y
to
ef
f
ec
tiv
e
l
y
tr
o
u
b
le
s
h
o
o
t
“
s
i
le
n
t”
h
ar
d
w
ar
e
f
ailu
r
e
s
ef
f
ec
ti
v
el
y
p
r
ev
e
n
ts
m
a
n
y
asp
ir
in
g
cr
ea
to
r
s
f
r
o
m
p
r
o
g
r
es
s
in
g
b
e
y
o
n
d
t
h
e
p
r
o
to
ty
p
e
s
ta
g
e.
T
h
e
I
o
T
h
as
p
r
o
f
o
u
n
d
l
y
tr
an
s
f
o
r
m
ed
t
h
e
g
lo
b
al
lan
d
s
ca
p
e
[
4
]
,
w
ith
ap
p
licatio
n
s
s
p
an
n
in
g
f
r
o
m
in
d
u
s
tr
ial
m
o
n
ito
r
in
g
to
s
m
a
r
t
ag
r
icu
lt
u
r
e
[
5
]
.
A
s
I
o
T
h
ar
d
w
ar
e
b
ec
o
m
e
s
m
o
r
e
a
f
f
o
r
d
ab
le
an
d
en
er
g
y
-
ef
f
icien
t,
it
co
n
tr
ib
u
tes
to
a
s
u
s
tai
n
ab
le
d
ig
ital
r
ev
o
l
u
ti
o
n
an
d
ad
v
an
ce
m
e
n
t
o
f
Mo
o
r
e
’
s
la
w
[
6
]
,
[
7
]
.
Nev
er
th
e
less
,
d
esp
ite
th
e
r
ed
u
ctio
n
in
th
e
h
ar
d
w
ar
e
ac
q
u
is
i
t
io
n
b
ar
r
ier
,
a
s
u
b
s
tan
tial
g
ap
p
er
s
is
ts
in
s
o
f
t
w
ar
e
d
ev
elo
p
m
en
t.
Dev
e
lo
p
in
g
f
ir
m
w
ar
e
is
in
h
er
en
tl
y
co
m
p
le
x
,
n
ec
ess
itati
n
g
p
r
o
f
o
u
n
d
ex
p
er
tis
e
in
h
ar
d
w
ar
e
li
m
ita
tio
n
s
e
n
s
o
r
ca
lib
r
atio
n
,
an
d
co
n
n
ec
ti
v
it
y
p
r
o
to
co
ls
.
R
ec
en
t
d
ata
u
n
d
er
s
co
r
e
th
is
ch
alle
n
g
e:
7
4
%
o
f
d
ev
elo
p
er
s
s
till
r
el
y
o
n
m
an
u
al
d
ev
ice
ac
ce
s
s
f
o
r
d
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a
n
d
6
2
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ter
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m
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te
m
f
ail
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r
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w
i
th
o
u
t c
o
m
p
r
o
m
is
i
n
g
av
ailab
i
li
t
y
[
8
]
.
T
o
a
d
d
r
e
s
s
th
e
s
e
c
h
al
l
en
g
es
,
g
e
n
e
r
at
iv
e
a
r
t
if
i
c
i
al
i
n
t
e
ll
ig
en
c
e
(
G
e
n
A
I
)
h
as
em
e
r
g
e
d
a
s
a
t
r
an
s
f
o
r
m
at
iv
e
t
e
c
h
n
o
l
o
g
y
,
f
a
c
il
i
t
at
in
g
th
e
au
to
m
a
ti
o
n
o
f
in
t
r
i
ca
t
e
t
ask
s
th
a
t
ty
p
i
ca
l
ly
r
e
q
u
i
r
e
h
u
m
an
i
n
t
e
l
lig
en
c
e
[
9
]
,
[
1
0
]
.
T
h
e
i
n
te
g
r
a
t
i
o
n
o
f
G
en
A
I
o
f
f
e
r
s
s
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b
s
t
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t
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al
p
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en
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a
l
f
o
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th
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f
u
tu
r
e
o
f
p
r
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g
r
am
m
in
g
b
y
e
n
h
an
c
i
n
g
ef
f
i
c
i
en
cy
an
d
a
c
c
e
s
s
i
b
il
i
ty
[
1
1
]
.
B
y
b
r
i
d
g
in
g
t
h
e
g
a
p
f
o
r
i
n
d
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v
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d
u
a
ls
l
a
ck
in
g
t
e
ch
n
i
ca
l
p
r
o
f
i
c
i
en
cy
,
Ge
n
AI
em
p
o
w
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r
s
n
o
v
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ce
u
s
e
r
s
t
o
h
a
r
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s
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I
o
T
i
n
t
h
e
i
r
d
a
i
ly
l
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s
.
T
h
is
s
y
n
e
r
g
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b
e
tw
ee
n
G
en
A
I
,
b
l
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ch
a
in
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an
d
I
o
T
f
u
n
d
am
en
t
al
ly
r
e
s
h
a
p
e
s
th
e
d
ig
i
t
a
l
r
e
alm
[
1
2
]
.
Pr
o
v
i
d
e
d
t
h
at
s
u
p
p
o
r
t
in
g
t
e
ch
n
o
l
o
g
y
an
d
r
eg
u
l
at
i
o
n
s
d
ev
e
l
o
p
a
s
a
n
t
i
c
i
p
at
e
d
[
1
3
]
,
[
1
4
]
,
t
h
e
s
e
in
t
eg
r
at
e
d
s
y
s
t
em
s
w
il
l
c
o
n
t
in
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e
t
o
ex
e
r
t
a
l
as
t
in
g
s
o
c
i
a
l
a
n
d
ec
o
n
o
m
ic
im
p
a
c
t
[
1
0
]
b
y
f
a
c
i
li
t
at
in
g
th
e
i
n
d
e
p
en
d
en
t
in
t
e
r
a
c
ti
o
n
o
f
in
t
e
r
c
o
n
n
e
c
t
e
d
d
ev
ic
e
s
w
i
th
in
ex
i
s
t
in
g
in
f
r
a
s
t
r
u
c
tu
r
e
[
1
5
]
,
[
1
6
]
.
2.
L
I
T
E
R
AT
U
RE
R
E
VI
E
W
Sain
et
a
l
.
[
1
7
]
ex
a
m
i
n
e
th
e
r
o
le
o
f
ch
at
g
e
n
er
ativ
e
p
r
e
-
tr
ai
n
ed
tr
an
s
f
o
r
m
er
(
C
h
atGP
T
)
i
n
s
o
f
t
w
ar
e
d
eb
u
g
g
i
n
g
,
h
i
g
h
li
g
h
tin
g
it
s
p
o
ten
tial
w
h
ile
id
en
ti
f
y
i
n
g
cr
itical
d
ep
en
d
en
cie
s
an
d
ar
ea
s
f
o
r
f
u
tu
r
e
i
m
p
r
o
v
e
m
en
t.
T
am
k
h
ad
e
et
a
l
.
[
1
8
]
ex
p
lo
r
es
h
o
w
Ge
n
A
I
i
s
r
ev
o
lu
tio
n
izi
n
g
s
o
f
t
w
ar
e
en
g
i
n
ee
r
in
g
b
y
m
ak
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au
to
m
ated
d
eb
u
g
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g
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d
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is
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d
is
p
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n
s
ab
le
to
o
l
s
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o
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co
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te
m
p
o
r
ar
y
d
ev
e
lo
p
m
en
t.
Am
b
u
r
l
e
et
a
l
.
[
1
9
]
f
o
u
n
d
th
at
th
e
Ge
n
A
I
-
p
o
w
er
ed
co
d
e
er
r
o
r
ex
p
lain
er
ad
d
r
ess
es
cr
itical
d
ef
icien
ci
es
in
p
r
o
g
r
a
m
m
i
n
g
ed
u
ca
tio
n
b
y
s
er
v
i
n
g
as a
v
er
s
atile
in
s
tr
u
m
e
n
t
f
o
r
m
u
ltip
le
p
r
o
g
r
a
m
m
in
g
la
n
g
u
a
g
es.
Hai
e
t
a
l
.
[
2
0
]
in
v
esti
g
a
te
s
tr
ateg
ie
s
f
o
r
o
p
ti
m
izi
n
g
clo
u
d
-
b
ased
b
u
g
tr
ac
k
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g
,
b
alan
cin
g
o
p
er
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al
co
s
t
r
ed
u
c
tio
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an
d
ti
m
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li
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e
m
an
a
g
e
m
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n
t
w
i
th
th
e
p
r
eser
v
atio
n
o
f
s
tr
i
n
g
e
n
t
q
u
alit
y
s
ta
n
d
ar
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s
ac
r
o
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s
b
o
th
g
e
n
er
al
a
n
d
e
m
b
ed
d
ed
s
o
f
t
w
ar
e
d
o
m
ai
n
s
.
Fu
r
th
e
r
r
es
e
a
r
ch
[
2
1
]
–
[
2
4
]
d
e
l
v
e
s
in
t
o
th
e
au
t
o
m
a
ti
o
n
o
f
b
u
g
d
e
t
e
c
ti
o
n
,
d
ef
e
ct
f
o
r
e
ca
s
t
in
g
,
an
d
f
ea
tu
r
e
s
e
l
e
ct
i
o
n
w
ith
i
n
th
e
s
o
f
tw
a
r
e
en
v
i
r
o
n
m
en
t
s
b
y
em
p
l
o
y
in
g
m
ac
h
in
e
l
e
a
r
n
in
g
t
e
ch
n
i
q
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es
,
a
s
s
h
o
w
n
in
T
a
b
l
e
1
.
T
ab
le
1
.
Su
m
m
ar
is
atio
n
o
f
th
e
liter
atu
r
e
r
ev
ie
w
S
t
u
d
y
A
p
p
r
o
a
c
h
S
t
r
e
n
g
t
h
L
i
mi
t
a
t
i
o
n
S
a
i
n
e
t
a
l
.
[
1
7
]
T
h
i
s re
se
a
r
c
h
d
e
l
v
e
s i
n
t
o
t
h
e
n
a
t
u
r
a
l
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u
a
g
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p
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n
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c
a
p
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b
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s,
k
n
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d
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,
a
n
d
p
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n
r
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c
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n
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C
h
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P
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k
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t
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me
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mp
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a
t
i
v
e
T
a
mk
h
a
d
e
e
t
a
l
i
.
[
1
8
]
Emp
l
o
y
a
c
o
mp
r
e
h
e
n
si
v
e
r
e
v
i
e
w
a
n
d
c
a
se
-
st
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y
me
t
h
o
d
o
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g
y
t
o
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sse
ss t
h
e
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G
e
n
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n
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o
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f
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me
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F
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C
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p
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f
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p
o
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t
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v
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A
mb
u
r
l
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al
.
[
1
9
]
T
h
e
p
r
o
j
e
c
t
c
e
n
t
e
r
s o
n
a
u
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a
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v
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t
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M
i
n
i
m
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z
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h
e
“
w
a
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me
”
f
o
r
h
u
m
a
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t
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t
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r
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s
t
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o
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S
w
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f
t
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a
i
e
t
a
l
.
[
2
0
]
T
h
i
s st
u
d
y
e
x
a
mi
n
e
s t
h
e
a
p
p
l
i
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c
h
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Al
-
S
h
a
me
r
i
[
2
1
]
T
h
i
s st
u
d
y
d
e
l
v
e
s i
n
t
o
t
h
e
c
a
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ma
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.
[2
2]
C
o
n
d
u
c
t
s
a
c
o
mp
r
e
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e
n
s
i
v
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ig
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T
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n
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PSEUDOCODE
START
CALL Problem_Contextualization()
WHILE (Solution is not verified)
CALL Diagnostic_Prompt_Execution()
CALL Iterative_Solution_Analysis()
IF (
Pass_Verfication == SUCCESS) THEN
CALL Functional_and_Logic_Verification()
IF (Pass_Verification == TRUE) THEN
GOTO DONE
ELSE
// Loop back to Diagnostic Prompt Execution
Continue
END IF
ELSE
// Implementation failed, loop
back
Continue
END IF
END WHILE
DONE
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I
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t b
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ated
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d
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ases
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tio
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ativ
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m
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e
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e
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n
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e
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h
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(
)
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n
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ar
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er
at
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m
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nC
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ct
ed
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er
o
an
d
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)
.
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h
e
p
r
o
b
lem
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ac
t
th
at
th
e
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HT
1
1
s
en
s
o
r
(
readdht11()
)
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ee
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s
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ata
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e
te
m
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er
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e
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h
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m
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it
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ar
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ab
les,
w
h
ile
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n
ev
er
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t
ilizes
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h
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al
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es.
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n
s
tead
,
it
d
ef
au
lts
to
ha
r
d
co
d
ed
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alu
es
o
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2
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.
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d
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5
.
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H.
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s
a
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e
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r
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n
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ails
to
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u
n
ctio
n
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r
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tly
.
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h
e
correctedPPM
v
alu
e
i
s
al
w
a
y
s
ca
lc
u
lated
b
ased
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n
th
e
te
m
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er
atu
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e
o
f
2
9
°C
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d
th
e
h
u
m
id
it
y
o
f
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%,
r
eg
ar
d
less
o
f
t
h
e
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a
l te
m
p
er
atu
r
e
an
d
h
u
m
id
it
y
in
t
h
e
r
o
o
m
.
Ge
m
i
n
i
A
I
’
s
s
o
lu
tio
n
i
n
v
o
l
v
es
r
e
m
o
v
i
n
g
u
n
u
s
ed
g
lo
b
al
f
lo
at
te
m
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er
atu
r
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d
f
lo
at
h
u
m
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it
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ar
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les.
A
d
d
itio
n
a
ll
y
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e
f
u
n
ctio
n
readMQ135()
n
ee
d
s
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b
e
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o
d
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ied
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s
e
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e
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r
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le.
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float temperature
= 29.0;
//....
correctedRZero =
mq135_sensor.getCo
rrectedRZero(tempe
rature,
humidity);
...
correctedPPM =
mq135_sensor.getCo
rrectedPPM(tempera
ture, humidity);
void readMQ135()
{
rzero =
mq135_sensor.getRZero();
correctedRZero =
mq135_sensor.getCorrected
RZero(temp, humi);
resistance =
mq135_
sensor.getResistanc
e();
ppm =
mq135_sensor.getPPM();
correctedPPM =
mq135_sensor.getCorrected
PPM(temp, humi);
// ...
G
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void loop() {
readMQ135();
readDHT11();
...
void loop() {
readDHT11(); // Data
Source
readMQ135(); // Data
Consumer
G
e
n
A
I
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ssf
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P
P
M
if (ppm<=1000)
{
display.printin(“F
resh”); }
if (correctedPPM<=1000)
{
display.printin(“Fresh”);
}
U
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Evaluation Warning : The document was created with Spire.PDF for Python.
T
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1283
Op
ti
m
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u
e:
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co
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Serial.print
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f
r
o
m
ap
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r
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“
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n
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i
v
e.
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Ge
m
i
n
i
s
o
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tio
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s
u
g
g
e
s
ted
m
o
r
e
s
tr
e
a
m
li
n
ed
ar
ch
itect
u
r
al
m
o
d
if
ic
atio
n
b
y
eli
m
in
ati
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g
r
ed
u
n
d
a
n
t
g
lo
b
al
v
ar
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les
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d
en
s
u
r
i
n
g
t
h
at
all
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g
in
s
co
n
s
i
s
te
n
tl
y
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til
ized
th
e
co
rr
e
ct
ed
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v
ar
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le.
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n
co
m
p
ar
is
o
n
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tr
ad
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d
eb
u
g
g
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n
g
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e
s
,
s
u
c
h
as
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s
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n
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m
p
iler
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r
s
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ar
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m
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n
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a
l
test
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g
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GP
T
an
d
Gem
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i
d
e
m
o
n
s
tr
ate
d
is
tin
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t
ap
p
r
o
ac
h
e
s
to
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ical
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d
te
m
p
o
r
al
er
r
o
r
m
a
n
a
g
e
m
e
n
t.
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lt
h
o
u
g
h
tr
ad
itio
n
a
l
m
et
h
o
d
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ce
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s
y
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h
e
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m
o
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els
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i
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e
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t”
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ic
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ail
u
r
es t
h
at
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m
p
iler
w
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ld
o
v
er
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k
.
5
.
2
.
B
ug
det
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t
io
n r
a
t
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ha
rdw
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re
co
nte
x
t
f
idelity
(
H
CF
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h
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lts
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e
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o
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ate
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I
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as
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cc
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ll
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r
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itical
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r
s
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u
g
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tatic
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ar
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lace
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ar
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co
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er
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m
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e
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al
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ata
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etr
iev
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th
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1
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en
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g
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e
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t
io
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te
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th
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ex
ec
u
tio
n
o
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d
er
to
en
s
u
r
e
th
at
readDHT11()
is
ex
ec
u
ted
p
r
io
r
to
readMQ135()
.
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u
g
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(
d
ata
in
co
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s
i
s
ten
c
y
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n
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u
r
e
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n
i
f
o
r
m
u
tili
za
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f
co
r
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ted
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v
ar
iab
les ac
r
o
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d
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la
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s
tat
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m
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r
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ed
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o
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n
ate
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delay2000
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ea
t
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r
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w
h
ic
h
w
as
i
n
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ed
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h
iev
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s
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ec
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u
r
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m
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lated
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m
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t
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r
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u
t
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h
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w
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th
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icate
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a
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ate
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n
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lit
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n
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iles
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th
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ec
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-
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e
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o
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s
tr
ates a
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o
p
h
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ticated
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d
er
s
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i
n
g
o
f
d
ata
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ep
en
d
en
c
ies
an
d
te
m
p
o
r
al
lo
g
ic
in
m
icr
o
co
n
tr
o
ller
s
.
Ho
w
e
v
er
,
th
e
HC
F
s
co
r
e
o
f
6
6
,
7
%
h
ig
h
li
g
h
t
s
a
cr
itica
l
li
m
itatio
n
o
f
cu
r
r
en
t
Ge
n
A
I
m
o
d
els:
th
eir
ab
s
en
ce
o
f
“
p
h
y
s
ical
a
w
ar
en
ess
”
r
eg
ar
d
in
g
h
ar
d
w
ar
e
-
s
p
e
cif
ic
co
n
s
tr
ai
n
ts
.
W
h
i
le
th
e
Gen
A
I
ex
ce
lled
i
n
lo
g
ical
r
ea
s
o
n
i
n
g
(
d
ata
f
lo
w
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d
v
ar
iab
le
co
n
s
i
s
ten
c
y
)
,
i
t
en
co
u
n
ter
ed
d
if
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icu
l
ties
i
n
co
m
p
r
e
h
en
d
i
n
g
t
h
e
ch
e
m
ical
a
n
d
elec
tr
ical
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u
a
n
c
es
o
f
t
h
e
h
ar
d
w
ar
e,
s
u
c
h
a
s
t
h
e
MQ
1
3
5
s
en
s
o
r
’
s
p
r
eh
ea
ti
n
g
r
eq
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ir
e
m
en
ts
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is
h
all
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cin
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tio
n
s
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g
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e
s
t
s
th
e
r
e
m
o
v
al
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th
e
delay()
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u
n
ct
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x
p
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lete
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m
a
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tis
e.
6.
CO
NCLU
SI
O
N
T
h
is
s
tu
d
y
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et
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u
t
to
ev
al
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ate
th
e
ef
f
ec
ti
v
en
e
s
s
o
f
Ge
n
A
I
as
a
d
eb
u
g
g
in
g
as
s
is
ta
n
t
f
o
r
I
o
T
ap
p
licatio
n
s
.
R
Q1
:
c
an
Gen
AI
ass
is
t
in
th
e
p
r
o
g
r
a
m
m
i
n
g
o
f
e
m
b
ed
d
ed
s
y
s
te
m
s
?
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r
esear
ch
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ef
in
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v
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n
f
ir
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s
t
h
at
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ar
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m
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n
aid
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n
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ev
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in
g
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m
p
lex
I
o
T
f
ir
m
w
ar
e.
I
t
s
ea
m
le
s
s
l
y
b
r
id
g
e
s
th
e
g
ap
b
et
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ee
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i
g
h
-
lev
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an
d
lo
w
-
le
v
el
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++
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m
p
le
m
en
tatio
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e
n
ab
lin
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s
er
s
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o
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ce
n
tr
ate
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y
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te
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esig
n
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ath
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ett
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o
g
g
ed
d
o
w
n
b
y
s
y
n
tactica
l
d
etai
ls
.
R
Q2
:
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s
Gen
A
I
ef
f
ec
t
iv
e
i
n
r
eso
lv
i
n
g
lo
g
ical
b
u
g
s
?
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es,
it
i
s
.
I
n
t
h
is
s
tu
d
y
,
th
e
Gen
A
I
s
u
cc
e
s
s
f
u
ll
y
id
e
n
ti
f
ied
an
d
r
eso
lv
ed
t
h
r
ee
d
is
tin
ct
lo
g
ical
er
r
o
r
s
.
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tab
ly
,
th
e
s
e
er
r
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r
s
w
er
e
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n
es
th
a
t
s
ta
n
d
ar
d
co
m
p
iler
s
f
ai
led
to
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etec
t,
d
em
o
n
s
tr
ati
n
g
t
h
at
Ge
n
A
I
o
f
f
er
s
a
la
y
er
o
f
s
e
m
an
t
ic
d
eb
u
g
g
i
n
g
t
h
at
w
a
s
p
r
ev
io
u
s
l
y
i
n
ac
ce
s
s
ib
le
to
n
o
n
-
e
x
p
er
ts
.
R
Q3
:
w
h
at
a
r
e
th
e
li
m
ita
tio
n
s
o
f
AI
-
as
s
is
ted
d
eb
u
g
g
i
n
g
?
t
h
e
Gen
A
I
lack
ed
co
n
s
id
er
atio
n
f
o
r
th
e
ch
e
m
ica
l
an
d
elec
tr
ical
r
eq
u
ir
em
e
n
t
s
o
f
s
en
s
o
r
s
,
s
u
c
h
as
th
e
p
r
eh
ea
ti
n
g
p
er
io
d
r
eq
u
ir
ed
f
o
r
th
e
MQ
1
3
5
to
ac
h
iev
e
s
tab
ilit
y
.
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v
en
t
h
at
th
e
Ge
n
A
I
d
o
es
n
o
t
f
u
ll
y
co
m
p
r
eh
e
n
d
th
e
p
h
y
s
ical
i
m
p
licatio
n
s
o
f
it
s
co
d
e
s
u
g
g
e
s
tio
n
s
,
it
ca
n
n
o
t
cu
r
r
en
tl
y
s
er
v
e
as
a
co
m
p
lete
s
u
b
s
tit
u
te
f
o
r
h
u
m
a
n
o
v
er
s
i
g
h
t
i
n
a
h
ar
d
w
ar
e
-
i
n
te
n
s
i
v
e
e
n
v
ir
o
n
m
e
n
t.
R
Q4
:
i
s
s
p
ec
ialized
ex
p
er
tis
e
r
eq
u
ir
ed
to
u
s
e
Gen
A
I
a
s
a
p
r
o
g
r
a
m
m
in
g
as
s
is
tan
t?
y
es,
a
m
o
d
if
ied
f
o
r
m
o
f
e
x
p
er
tis
e
i
s
n
ec
e
s
s
ar
y
.
W
h
il
e
u
s
er
s
d
o
n
’
t
n
ee
d
d
e
ep
p
r
o
f
ici
en
c
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in
C
++
s
y
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tax
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lib
r
ar
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ef
i
n
itio
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t
h
e
y
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o
r
eq
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ir
e
a
n
u
n
d
er
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ta
n
d
in
g
o
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th
e
s
p
ec
i
f
ic
h
ar
d
w
ar
e
f
u
n
ctio
n
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T
o
m
a
x
i
m
ize
th
e
u
tili
t
y
o
f
Gen
A
I
in
p
r
o
f
es
s
io
n
al
e
m
b
e
d
d
ed
en
g
in
ee
r
in
g
,
f
u
t
u
r
e
r
esear
ch
s
h
o
u
ld
tr
an
s
itio
n
f
r
o
m
g
e
n
er
al
co
d
e
g
en
er
atio
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to
ad
d
r
ess
in
g
i
n
t
r
icate
s
y
s
te
m
-
le
v
el
co
m
p
lex
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t
ies.
Ke
y
p
r
io
r
ities
in
cl
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d
e
in
v
es
tig
a
tin
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t
h
e
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ca
c
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in
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g
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i
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g
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