microcomputer program
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2020 ◽  
Vol 11 (2) ◽  
pp. 54-59
Author(s):  
Mercy Kuriyan ◽  
Laurence Marsh

2014 ◽  
Vol 614 ◽  
pp. 249-253
Author(s):  
Guang Yuan Zhu ◽  
Wei Wei Hu ◽  
Yu Feng Sun

It is necessary to realize the 1/2 blanking when designing the 4-1/2 digital voltmeter based on ICL7135 chip. The traditional digital voltmeter meters achieve the function by using the single-chip microcomputer program control. A new design should be considered when circuits are designed without the single-chip microcomputer. This paper combines the blanking terminal of the CD4511 decoding chip with the output signal of the A/D chip to design a complex logic gate circuit for realizing the blanking function. Experiment has been done to verify that the design of the complex logic gate circuit is feasible and it can guarantee the realization of the 1/2 blanking.


2014 ◽  
Vol 577 ◽  
pp. 452-456 ◽  
Author(s):  
Jing Wang ◽  
Zhong Yu Xi

In view of the unstable phenomenon of the visual system of the AGV in the automatic system, the paper adopts the MEMS gyroscope MPU6050 to collect the status of the visual holder. We can guarantee the stability of the holder, obtain clear pictures and improve the operating validity of the vision-based guided AGV by controlling the brushless motor through the Arduino single chip microcomputer program.


2000 ◽  
Vol 62 (2) ◽  
pp. 141-144 ◽  
Author(s):  
Enrique Soto ◽  
Emilio Salceda ◽  
Ricardo Cruz ◽  
Aida Ortega ◽  
Rosario Vega

jpa ◽  
1999 ◽  
Vol 12 (4) ◽  
pp. 636-641
Author(s):  
G. R. Dahlke ◽  
P. L. Spike ◽  
D. E. Wilson ◽  
M. P. Hoffman ◽  
J. D. Lawrence

1998 ◽  
Vol 86 (3_suppl) ◽  
pp. 1143-1152 ◽  
Author(s):  
Rebecca P. Ang

Researchers have all too often ignored replicability of results because they overly rely on significance testing. This is a misinformed view because statistical significance does not evaluate the importance or replicability of a result. This paper focuses on two methods of assessing replicability of results, double cross-validation and bootstrap procedures. Selected variables from Hughes, Cavell, and Grossman's (1997) data set of 112 cases are used to illustrate all these techniques as applied to the interpretation of multiple regression results. One statistical computer package SPSS is used for the double cross-validation procedure, and a 1987 microcomputer program package of Lunneborg is used to demonstrate the bootstrap procedure.


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