In this paper, the application of the fuzzy interacting multiple model unscented Kalman filter (FUZZY-IMMUKF) approach to integrated navigation processing for the maneuvering vehicle is presented. The unscented Kalman filter (UKF) employs a set of sigma points through deterministic sampling, such that a linearization process is not necessary, and therefore the errors caused by linearization as ...

Digital video stabilization (DVS) allows acquiring video sequences without disturbing jerkiness, removing unwanted camera movements. A good DVS should remove the unwanted camera movements while maintains the intentional camera movements. In this article, we propose a novel DVS algorithm that compensates the camera jitters applying an adaptive fuzzy filter on the global motion of video frames. T...

banks are one of the most important financial sectors in order to the economic development of each country. certainly, efficiency scores and ranks of banks are significant and effective aspects towards future planning. sometimes the performance of banks must be measured in the presence of undesirable and vague factors. for these reasons in the current paper a procedure based on data envelopment...

This paper presents a three-phase hybrid power filter based on artificial intelligence control approach. It consists of C-type passive filter in parallel with a shunt active filter that is controlled by an adaptive Neuro-Fuzzy inference system (ANFIS) controller. The active filter is based on a three-phase voltage inverter with six control switches. The AC side of the filter is connected in par...

This paper presents a hybrid filter for denoising and enhancing digital image in situation where the image is corrupted by salt and pepper noise. Image denoising and enhancement are important preprocessing and post processing steps in image analysis. Successful results of image analysis extremely depend on image enhancement. There are several filters have been illustrated till date. But they ar...

In this paper, we present a novel method for the removal of impulse noise from digital color images. The proposed filter, called the First Order Difference based Fuzzy Filter. It operates in two stages detection of impulse noise and prediction of noise density using alpha trimmed mean followed by denoising, using first order difference and fuzzy filter .Experimental results demonstrate to be su...

A new approach to normalizing fuzzy sets is introduced where it is assumed that the normalization method is compatible with a given t-norm. In this context it is proved that the most usual ways to normalize fuzzy subsets correspond to the most common t-norms. For a given fuzzy subset μ, the corresponding normalized fuzzy subset μ̂ can be viewed as the distribution of μ conditioned on the (degree...

In this paper presents a new algorithm fuzzy based median filter (FBMF) to remove low and high density salt and pepper noise in gray scale Images. Proposed algorithm replaces the noisy pixel by median value when 0’s, 255’s and other pixel values are present in the selected window and when all pixel values are either 0’s or 255’s, or combination of these, then the noise pixel is replaced by fuzz...

This article presents a novel fuzzy–logic based multi-sensor data fusion algorithm for combining heading estimates from three separate weighted interval Kalman filters to construct a robust, fault-tolerant heading estimator for the navigation of the Springer autonomous surface vehicle. A single, low-cost gyroscopic unit and three independent compasses are used to acquire data onboard the vehicl...

By applying the concept of Lukasiewicz fuzzy set to BE-algebras, notions BE-algebra and BE-filter are introduced, their properties investigated. Characterizations discussed, relationship between (resp., BE-filter) is established. The conditions for ∈-set, q-set O-set be BE-subalgebras explored. created by using BE-filter.