REDUCED ORDER MODELING OF TRIPLE LINK INVERTED PENDULUM USING PARTICLE SWARM OPTIMIZATION ALGORITHM
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN ENGINEERING AND TECHNOLOGY
Author(s): SHEELA TIWARI , MUDITA JUNEJA
Abstract: In recent years, Particle Swarm Optimization has evolved as an effective global optimization algorithm whose dynamics has been inspired from swarming or collaborative behavior of biological populations. In this paper, PSO has been applied to Triple Link Inverted Pendulum model to find its reduced order model by minimization of error between the step responses of higher and reduced order model. Model Order Reduction using PSO algorithm is advantageous due to ease in implementation, higher accuracy and decreased time of computation. The second and third order reduced transfer functions of Triple Link Inverted Pendulum have been computed for comparison.
- Publication Date: 25-May-2014
- DOI: 10.15224/978-1-63248-028-6-02-34
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HUMAN ACTIVITY RECOGNITION BASED ON ANN USING HOG FEATURES
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN ENGINEERING AND TECHNOLOGY
Author(s): HARKISHAN SOHANPAL , RAJVIR KAUR , ASHWIN RATHORE
Abstract: In this paper, we present human activity recognition on static images. First, for feature extraction we employ Histograms of Oriented Gradients (HOG). The HOG is invariant to geometric transformations and photometric transformation such as changes in illumination or shadowing effect. The extracted features are then classified using Back- Propagation Neural Network (BPNN) classifier. Experimental results on Images from Weizmann dataset using proposed methodology show the accuracy of 99.2%. The results show that the human activity recognition can effectively be done using HOG features and BPNN as classifier.
- Publication Date: 25-May-2014
- DOI: 10.15224/978-1-63248-028-6-02-35
- Views: 0
- Downloads: 0