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These days, electric vehicle (EV) is using fuel cell as a prime source of energy because of its high promising performance and clean source of energy. However, due to low dynamic performance it alone cannot meet the fast changing load requirement during acceleration or sudden uphill, deceleration or sudden downhill. Therefore, in EV, main source is used in appropriate combination with auxiliary source...
The electric vehicle offering the better performance as compared to an internal combustion engine. In this context, electric vehicle powered by the fuel cell is an interesting solution because of their higher efficiency and clean source of energy. Fuel cell is providing the continuous power to the load, so it is necessary to provide the control strategies for fuel cell system. This paper presents...
The electric vehicle offering the better performance as compared to an internal combustion engine. In this context, electric vehicle powered by the fuel cell is an interesting solution because of their higher efficiency and clean source of energy. Fuel cell is providing continuous power to the load, so it is necessary to providing control strategies to fuel cell. This paper presents control strategies...
In real world applications of face recognition system occlusion is always a big challenge. This paper presents an approach using hybrid combination of DT-CWT and LBP for feature extraction to deal with various occlusion. The DT-CWT focuses on global scale invariant feature however LBP emphasis on local structure of face image .The proposed approach are tested for synthetically created occlusion at...
This paper present a robust reduced facial feature descriptor for face recognition by using dual tree complex wavelet transform and principal component analysis. Proposed approach uses extra dyadic down sampling strategy on coefficient of DT-CWT to reduce the size of feature vector and further without loss of generality principal component analysis is used on reduced feature vector significantly....
This paper presents a hybrid approach for image restoration which is degraded from known estimated blurring kernel, read out noise and photon counting noise. The novelty of the approach lies that it does not require noise power at the time of deconvolution while it accounts all possible noise, which occurred at the time of present acquisition of image. In the model, first stage is denoise the degraded...
In this paper a new approach for image enhancement considering pixel intensity variation for interpolation is presented. This technique determines edges by comparing the intensity variations between centre pixel and its neighboring pixels of window size 5 5. On the basis of designed thresholds, extrapolated blank pixels are filled. The sliding window 5 5 size gives better result over window size 3...
This paper present a framework for semi automatic plant identification technique based on different flower and leaf images. A single feature is not sufficient for classification and recognition. Flower and leaf of different plant are different in shape, color, texture. This paper propose an algorithm for identification using multiclass classification based on color, shape volume and cell feature....
This paper presents a new approach to enhance resolution of the image using interpolation on filtered image. It is evident that low frequency filtered image smoothes the image, though the high frequency filtered image presents sharp change in intensity of the image. Interpolating high frequency filtered image and combining with interpolated low frequency image preserves edge information. Cubic spline...
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