Journal of the Association of Engineers, India

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Designing Predictive Model to Find Displacements of a Moving Object:Longitudinal and Rotational


Affiliations
1 Department of Electronics and Communication Engineering, Kalyani Government Engineering College, Kalyani-741235, Nadia, West Bengal, India
     

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The calculation of motion with vertical, horizontal and angular displacement of a moving object is important to find the rotational characteristics of that particle. In this paper, algorithm is generated to find these displacements. For this, a 3-D object (Balloon) which is falling from a vertical height with its attributes and characteristics is considered. Algorithm is coded and implemented by the software MATLAB R2013a. As results, the distance covered by the object and the velocity of motion are calculated. The design of a predictive model to detect all displacements with the angular shift of moving object is also demonstrated in this paper.

Keywords

Image Processing, Rasterization, RGB Image, GRAY Image, BINARY Image, Shadow Negation, Matrix Manipulation, Image Scaling.
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  • Designing Predictive Model to Find Displacements of a Moving Object:Longitudinal and Rotational

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Authors

Bandana Barman
Department of Electronics and Communication Engineering, Kalyani Government Engineering College, Kalyani-741235, Nadia, West Bengal, India

Abstract


The calculation of motion with vertical, horizontal and angular displacement of a moving object is important to find the rotational characteristics of that particle. In this paper, algorithm is generated to find these displacements. For this, a 3-D object (Balloon) which is falling from a vertical height with its attributes and characteristics is considered. Algorithm is coded and implemented by the software MATLAB R2013a. As results, the distance covered by the object and the velocity of motion are calculated. The design of a predictive model to detect all displacements with the angular shift of moving object is also demonstrated in this paper.

Keywords


Image Processing, Rasterization, RGB Image, GRAY Image, BINARY Image, Shadow Negation, Matrix Manipulation, Image Scaling.

References





DOI: https://doi.org/10.22485/jaei%2F2017%2Fv87%2Fi1-2%2F153430