‘Rivers of Statistic’
M-Z-N
• Mesokurtosis-Zonal-Nonparametric (M-Z-N) is the latest signal analysis to be developed.
• In
M-Z-N method, the signal data will be divided into desired number of segment, M
 |
| Example divison a of signal data |
• RMS value for each segment will be calculated.
• M-Z-N coefficient is defined as :-
where xi is the
discrete data values of i-th
sample in a segment, rms is the root mean square value for a segment, M is the
number of segments, and N is the number of data in a segment.
• M-Z-N
method had been applied in study of acoustic signal characteristic in impact
testing.(Hilmi 2011)
• The
structure borne ultrasonic and air borne ultrasonic signal of a low carbon
steel 1050 is analyzed by M-Z-N method.
M-Z-N coefficient for SBU and ABU of low carbon steel 1050
• From this study, we had discover that M-Z-N coefficient increase with increment of impact magnitude.
MoZAK
• Generally, in translational motion, as the
camera approaches an object, the degree of complexity of the edges of the
object image will change.
• This principle can be used to estimate the
distance to a targeted object.
• This work introduces a novel statistical
method, named Moment of Zoomed-Algorithm Kurtosis (MoZAK), which is based on the I-kaz method, as an indicator
for controlling the motion system.
• Generally,
Mozak coefficient is defined as :-
x =
coentroid to edge distance data
k = kurtosis
std = standard deviation
c = analysis order
•
The
MoZAK parameter, ʓc which
represents the degree of complexity of image edges, is used to indicate if
further actuation of the motor, or otherwise, is required.
•
This study is done using two approach to get a
effective method to estimate motor motor movement so that no collision will
occur between camera and targeted object. The approaches are:
I.
Comparison of conventional statistical methods (standard deviation and kurtosis) with
MoZAK method.
II.
Varying
order of statistical analysis and MoZAK method.
- • Results indicate that the MoZAK method presents a viable distance estimator compared to conventional statistical methods.
- • Generally, 4th moment statistical analysis at the 2nd order able to give coefficient changes that is proportional to image sequence.
End
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