Department of Computer Science and Information Systems

Permanent URI for this collectionhttp://localhost:4000/handle/123456789/1928

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Subject: search.filters.subject.Fuzzy logic

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Now showing 1 - 5 of 5
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    A novel Venus’ visible image processing neoteric workflow for improved planetary surface feature analysis
    (Springer, 2024-03) Rohil, Mukesh Kumar
    The article presents a novel methodology that comprises of end-to-end Venus’ visible image processing neoteric workflow. The visible raw image is denoised using Tri-State median filter with background dark subtraction, and then enhanced using Contrast Limited Adaptive Histogram Equalization. The multi-modal image registration technique is developed using Segmented Affine Scale Invariant Feature Transform and Motion Smoothness Constraint outlier removal for co-registration of Venus’ visible and radar image. A novel image fusion algorithm using guided filter is developed to merge multi-modal Visible-Radar Venus’ image pair for generating the fused image. The Venus’ visible image quality assessment is performed at each processing step, and results are quantified and visualized. In addition, fuzzy color-coded segmentation map is generated for crucial information retrieval about Venus’ surface feature characteristics. It is found that Venus’ fused image clearly demarked planetary morphological features and validated with publicly available Venus’ radar nomenclature map.
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    Fuzzy Based Augmented Reality for 3D Image Modelling
    (TEST Engineering & Management, 2020) K., Pradheep Kumar
    In today’s world Augmented Reality and Virtual Reality is of prime importance. To create a scenario using Augmented Reality it is important to model objects in 3D space. Once the modelling is complete the Augmented Reality Map could be used in several applications like medicine where 3D bio printing should be done. It could also be used in education and teaching to illustrate complex working mechanisms. Here a fuzzy based algorithm has been proposed to create 3D models of objects for Augmented Reality maps. The Fuzzy rule method reduces RMSE, compared to AR Marker, Fingertips and Checkerboard by 35%, 45% and 21% respectively. The Fuzzy rule method also improves accuracy of resolution of images, compared to AR Marker, Fingertips and Checkerboard by 48%, 11% and 11% respectively.
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    Fuzzy-Based Querying Approach for Multidimensional Big Data Quality Assessment
    (2017) K., Pradheep Kumar
    This paper is intended to design a fuzzy based approach to assess standards and quality of big data. It also serves as a platform to organizations that intend to migrate their existing database environment to big data environment. Data is assessed using a multidimensional approach based on quality factors like accuracy, completeness, reliability, usability, etc. These factors are analysed by constructing decision trees to identify the quality aspects which need to be improved. In this work fuzzy queries have been designed. The queries are grouped as sets namely Excellent, Optimal, Fair and Hybrid. Based on the fuzzy data sets formed and the query compatibility index, a query set is chosen. A data set that has a very high degree of membership is assigned a fair query set. A data set with a medium degree of membership is assigned a optimal query set. A data set that has a lesser degree of membership is assigned a Excellent query set. A data set which needs a combination of queries of all the above is assigned a hybrid query set. The fuzzy query based approach reduces the query compatibility index by 36%, compared to a normal query set approach.
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    Enhanced Search in Peer-to-Peer Networks Using Fuzzy Logic
    (Springer, 2010) Haribabu, K
    The efficiency of a Peer-to-Peer file sharing overlay is dependent on the lookup procedure. Huge size of peer-to-peer networks demands a scalable efficient lookup algorithm. In this paper we look at fuzzy logic approach in which we assign probabilities to each node based on the content it has. Lookup is guided by the probabilities. The results show that this algorithm is much better than standard lookup algorithms.
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    Exploring possible aplications of fuzzy logic in imulation of three-dimensional visualisation using Remote Sensing data
    (Geospatial World, 2009) Rohil, Mukesh Kumar
    The paper explores various possibilities of application of fuzzy logic in simulating visualization of three-dimensional view of some area using remote sensing data. Author intends to use fuzzy logic for implementation of this task because of limited utilization of traditional algorithmic approach or logic in dealing with uncertainty and incomplete data and knowledge. At first, the paper illustrates the terms Fuzzy logic, Simulation, Three-Dimension, Visualization, remote sensing and remote sensing data. Then it dictates the inability and shortcomings of the traditional algorithmic and data representation approaches in handling the complexity involved with three-dimensional visualization and representation of both remote sensing data and information derived by analysis of remote sensing data. On the framework specified above, the paper further illustrates that we can apply fuzzy logic in most of the techniques used for three-dimensional visualization, both at hardware and software level. At last, the paper also explores the possibility of applying fuzzy logic in estimation of depth from stereo, texture, shading and motion, all in the context of simulation of three-dimensional visualization of remote sensing data.