International Conference on Intelligent Computing and Systems
48
International Conference on Intelligent Computing and Systems 2017 [ICICS 2017]
ISBN Website Received Article ID
978-81-933235-5-7 icics.asia 10 – January – 2017 ICICS095
VOL eMail Accepted eAID
01 icics@asdf.res.in 28 - January – 2017 ICICS.2017.095
An Optimistic Approach for Human Peculiarity and Gender Recollection from Stride Successions S Rajalakshmi1, S Tamilarasi2, V Kavitha3, K C Mohanraj4, K Mohanaprakash5 1 Professor, 2,3,4,5Assistant Professor, Cheran College of Engineering, India Abstract: In recent years, stride recollection becomes an exigent image processing technology for biometric identification. From the stride successions with whimsical wandering directions, human peculiarity and gender recollection is a strenuous task. In previous work, cluster based averaged stride image are used as attributes. The former method got failed since the wandering style in the testing succession is identifiably disparate when compared to the training successions. In such cases, C-AGI attributes of the aforesaid subject vary widely. To deal with these issues, suggested work extracts more discriminative modal-based attributes to enhance the potential. This approach inquires the fusion of various attributes delivered from manually labelled human silhouettes. Moreover this approach is based on the combination of three discriminative attributes namely area, gravity centre and orientation of each body component. Genetic algorithm is used for stipulating the optimal attributes and the stipulated attributes are used for recollection purpose. Using sparse reconstruction based metric learning method, distance metrics are analysed. By this suggested methodology gives enhanced potential than existing approach.
ISBN Website Received Article ID
978-81-933235-5-7 icics.asia 10 – January – 2017 ICICS096
VOL eMail Accepted eAID
01 icics@asdf.res.in 28 - January – 2017 ICICS.2017.096
Direct Torque Controller Analysis in Four Phase Switched Reluctance Motor 1
K Nandhini1, A Stephen Sagayaraj2, B Saritha3, T Mani4 Assistant Professor, Department of EEE, NSN College of Engineering and Technology, India 2,3,4,5 Assistant Professor, Department of EEE, Jay Shriram Group of Institutions, India
Abstract: Electric motor or the hybrid electric vehicle of switched reluctance for high-speed applications, in order to reduce torque ripple. The SRM is fed by a three-phase unidirectional power converter having three legs, each of which consist of two IGBTs and two freewheeling diodes. The method is based on fixed turn-on angle and turn-off angle as the prerequisite, and estimates on and off position of the sensor less switched reluctance motor. Under the environment of Mat lab/Simulink, the method realizes the sensor less control of the switched reluctance motor. Outcome of mechanical vibration and acoustic noise from both the DTC controller gets analysed in Graphical programming language, Lab VIEW tool. This graphical language gives the efficient and accurate results in terms of mechanical vibration and acoustic noise.
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