Kannan R.,Nehru Institute of Engineering and Technology |
Kanakaraj J.,PSG College of Technology
Journal of Theoretical and Applied Information Technology | Year: 2014
Induction motor drives are widely used in industries for its simple and easy control. Variable structure controller (VSC) for an induction motor drive is an effective method of control in case of non linearities and uncertainties to enhance robustness. Dynamic performance of Induction motor drives is an essential characteristic for many industrial applications. Quality of the product is an industry and the profit of the industry are mainly depends on the performance of the induction motor drive. Transient state performance of the VSC based an induction motor drive to be improved. Since conventional VSC based induction motor drive has PI controller based speed controller. To enhance the performance of the system this paper proposes Model reference Adaptive System based speed controller in VSC. The design is simple and easy to be implemented. The entire system is simulated using Matlab / Simulink to analyze the performance of a drive. Performance of a drive using Model reference Adaptive System VSC is analysed and compared with conventional Proportional and Integral VSC. To analyze the dynamic performance of the system machine is subjected to constant and variable load in this paper. © 2005 - 2014 JATIT & LLS. All rights reserved.
Jayaraj V.,Nehru Institute of Engineering and Technology |
Ebenezer D.,Easwari Engineering CollegeTamilnadu
Journal of Theoretical and Applied Information Technology | Year: 2014
A dual tree complex wavelet transform (DT -CWT)based directional interpolation scheme for denoising of noisy images is proposed. The problems of denoising and interpolation are modeled as to estimate the noiseless and missing samples under the same framework of optimal estimation. Initially, DT -CWT is used to decompose an input low-resolution noisy wage irito low and high frequency subbands. The high- frequency subband images are interpolated by linear minimum mean square estimation (LMMSE) based interpolation, which preserves the edges of the interpolated images. For each noisy LR image sample, we compute multiple estimates of it along different directions and then fuse those directional estimates for a more accurate denoised LR image. The estimation parameters calculated in the denoising processing can be readily used to interpolate the missing samples. The inverse DT-CWT is applied on the denoised input and interpolated high frequency subband images to obtain the high resolution image. Compared with the conventional schemes that perform denoising and interpolation in. tandem, the proposed DT -CWT based noisy image interpolation method can reduce many noisecaused interpolation artifacts and preserve well the image edge structures. The visual and quantitative results show that the proposed technique outperforms many of the existing denoising and interpolation methods. © 2005 - 2014 JATIT & LLS. All rights reserved.
Dhiyanesh B.,Nehru Institute of Engineering and Technology
Proceedings - ICETEEEM 2012, International Conference on Emerging Trends in Electrical Engineering and Energy Management | Year: 2012
The computation and information sharing capabilities of networked robotics by proposing a clond robotic architecture. The cloud robotics architecture leverages the combination of a virtual ad-hoc clond formed by machine-to-machine (M2M) communications among participating robots, and an infrastructure cloud enabled by machine-to-cloud (M2C) communications. Clond robotics utilizes elastic computing models, in which resources are dynamically allocated from a shared resource pool in the clond, to support task offloading and information sharing In robotic applications. The propose communication protocols, and several elastic computing models to handle different applications. The technical challenges in computation, communications and security, and illustrate the potential benefits of cloud robotics in several applications. © 2012 IEEE.
Bharath Kumar M.R.,Nehru Institute of Engineering and Technology |
Dinesh S.,Nehru Institute of Engineering and Technology |
Ejas Ahamed I.,Nehru Institute of Engineering and Technology |
Baladhandapani R.,Nehru Institute of Engineering and Technology |
Karthikeyan V.,Nehru Institute of Engineering and Technology
International Journal of Applied Engineering Research | Year: 2014
The gloomy answers to the oil and fuel crises compel to strive for sustainable road transportation. One such effort in this regard is reported in this project. Due to the advent of power electronics; the population of hybrid vehicle is also hiking up gradually. Brushless DC motor is considered as potential drive for automotive applications (Hybrid vehicles). Design of a direct drive, Brush less DC motor is employed. Many constraints have been considered, such as the size of the motor, maximum driving current and maximum output power. The diameter and the stack length are limited by using modern analytical tools of the prototype vehicle. Nobel analytical tools are used to obtain static and dynamic characteristics of the motor and geometrical verifications for low cost efficient design. A low cost electronic controller compatible for present application has been developed and implemented in this project. The prototype is fabricated and tested on a lightweight electric vehicle. This automotive model's performance was tested and its results are simulated in this project. It has lot of advantages, generating power by regenerative braking at speed barkers, recharging the battery while the vehicle is in motion. © Research India Publications.
Sankari M.,Nehru Institute of Engineering and Technology |
Meena C.,Avinashilingam University For Women
IET Seminar Digest | Year: 2011
Detecting an object from a dynamic background is a challenging process m computer vision and pattern matching research. The proposed algorithm identifies moving objects from the sequence of video frames which contains dynamically changing backgrounds in the noisy environment. In connection with our previous work, here we have proposed a methodology to perform background subtraction and modernized from moving vehicles in traffic video sequences that combines statistical assumptions of moving objects using the previous frames in the dynamically varying noisy situation. For that, a binary moving objects hypothesis mask is constructed. Then, Kalman filter is utilized for the amalgamation of current background. Shadow and noise removal algorithms are proposed to operate at the lattice which identifies object-level elements. The results of post-processing can be used to detect object more efficiently. Experimental results and comparisons using real data demonstrate the pre-eminence of the proposed approach. © 2011 IET.
Saravanan A.,Sri Krishna College of Engineering And Technology |
Irfan Ahmed M.S.,Nehru Institute of Engineering and Technology |
Sathya Bama S.,Sri Krishna College of Engineering And Technology
ARPN Journal of Engineering and Applied Sciences | Year: 2016
With the rapid development of Internet and technologies, e-business flourished in almost all organisations. Progressively, organisations need to exchange and share data amidst their users as well as with other organisations. This data is often sensitive or confidential, and access to it desires to be secured. In this circumstance, trusted computing came in to existence which is a new security solution proposed by the Trusted Computing Group (TCG). It targets to provide an effective framework that allows distributed systems to ensure each other's integrity and trustworthiness. Several architectures exist to determine whether a remote system is trusted and to protect disseminated data. However, many approaches are static, inexpressive, or undermines the system security. This paper proposes an effective mechanism for remote attestation in trusted computing using automated policy negotiations that allows us to prove the integrity of a system and sensitive data. © 2006-2016 Asian Research Publishing Network (ARPN).