Exploration of Laser Marking Path and Algorithm Based on Intelligent Computing and Internet of Things

Table 4

Algorithm analysis based on zigzag parallel path simulation experiment I.

Function name	Number of calls	Total time (s)	Self-use time (s)
createCanvas	1	0.007	0.002
getlnstance	1	0	0
hasBeenOpened	1	0.001	0.001
maybeShow	1	0.003	0.001
ToolbarController	1	0.005	0.004
axescheck	6	0.002	0.002
strcmpi (“parent”, x)	6	0.001	0.001
c2_iuci	1	0.363	0.035
cla	1	0.006	0.002
gobjects	14	0.002	0.002
claNotify	1	0.001	0.001
clo	1	0.003	0.003
hasDisplay	1	0	0
hold	6	0.009	0.005
isFigureShowEnabled	1	0	0
isPublishingTest	1	0	0
isStringScalar	6	0	0
markFigure	6	0.002	0.002
newplot	7	0.059	0.041
newplot > ObserveAxesNextPlot	7	0.008	0.002
newplot > ObserveFigureNextPlot	7	0.001	0.001
newplotwrapper	7	0.063	0.002
area	153	0.012	0.007
intersect	51	0.034	0.028
numboundaries	408	0.011	0.01
numsides	102	0.004	0.003
perimeter	153	0.01	0.006
checkAndSimplify	51	0.204	0.166
checkArray	867	0.003	0.003
checkConsistency	408	0.001	0.001
checkinput	51	0.007	0.003
checkPointArray	51	0.003	0.003
NumHoles	102	0.002	0.002
NumRegions	102	0.003	0.003
getXY	51	0.004	0.004
isEmptyShape	408	0.014	0.002
isEqualShape	51	0.035	0.004
parselntersectUnionArgs	51	0.001	0.001
polyshape	102	0.221	0.01
settings	1	0.001	0
settings	1	0.001	0.001
usejava	1	0.001	0