274 research outputs found
A new COVID-19 medical image steganography based on dual encrypted data insertion into minimum mean intensity window of LSB of X-ray scans
No full textOn the role of the helicity in the energy transfer in three-dimensional turbulence
No full textBehavior of the turbulent flows could be changed by changing the nature of the external force or the confining geometry which essentially results in breaking some of the symmetries of the ideal homogeneous and isotropic flows. In a numerical simulation, however, it is possible to selectively break symmetries of the Navier-Stokes equations with other constraints like helicity. In a recent [1] simulation of a decimated version of the incompressible three dimensional Navier-Stokes equations, where helicity was maintained sign-definite using a helical projection, a reversal of energy cascade similar to two-dimensional Navier-Stokes equations was observed. The sign- definite helicity breaks the parity symmetry of the flow. It is one of the important symmetries of the flow that contributes to the forward energy cascade in three dimensional Navier-Stokes equations. In our study we measure the degree to which the parity symmetry controls the direction of the cascade. We introduce a mechanism in which the parity is broken stochastically but in a time frozen manner with helical constraints. We keep triadic interactions in Fourier space involving modes with definite sign of helicity and decimate the triads of other modes with opposite sign of helicity with a fixed probability. We studied the cascade of energy in three dimensional turbulence by changing the relative weight between positive and negative helicity modes. We present the results from our recent simulations
KDE-Based Simultaneous Background Model Learning and Entropy-Based Fusion of Cascaded Features for Video Object Segmentation With Shadow Removal
No full textObject detection with shadow removal is one of the challenging issues in computer vision. Dynamic shadow resembles a moving object’s properties, so separating this shadow from the object is a challenging task. This dynamic shadow if not eliminated, distorts the shape of the object. In this paper, a novel scheme for moving object detection and shadow removal is proposed based on the background modeling in fused feature space, and these models learn to take care of the scene dynamics. Initially, in KDE space, temporal modeling of the spatial KDE (TMS-KDE) is carried out and cascaded features of Gabor and HOG are obtained. Besides, the original video frame is transformed into YCbCr color space and LBP features are extracted. The LBP and cascaded features are fused probabilistically to generate fused feature frames which are used in background modeling. The weights for the feature fusion are determined by the proposed entropy based measure. Background modeling and model learning is a pixel based approach and the pixel is classified as either background or foreground during the learning process. We have tested our proposed method on a wide range of datasets which includes ATON-CVRR, LASIESTA, CD-net, Kaggle, PETS 2006, SGM-RGBD, SBMI 2015, SBMnet 2016 and VIRAT. The proposed scheme is found to take care of different shadow conditions while detecting the moving object. The performance of the proposed scheme is found to be superior to that of many existing schemes
Real-space Manifestations of Bottlenecks in Turbulence Spectra
No full textAn energy-spectrum bottleneck, a bump in the turbulence spectrum between the inertial and dissipation ranges, is shown to occur in the non-turbulent, one-dimensional, hyperviscous Burgers equation and found to be the Fourier-space signature of oscillations in the real-space velocity, which are explained by boundary-layer-expansion techniques. Pseudospectral simulations are used to show that such oscillations occur in velocity correlation functions in one- and three-dimensional hyperviscous hydrodynamical equations that display genuine turbulence
Essays on the Indian Economy: Competitive Pressure, Productivity and Performance.
No full textIndia undertook a drastic economic reform program in 1991, with the significant objectives of removing existing inefficiencies and enhancing global competitiveness. A competitive environment is a prerequisite condition for gaining higher productivity. The main desired role of economic liberalization is to enhance the efficient utilization of inputs with relaxing constraints input use and technology choices and gains from international trade by bringing global competitive pressure to the economy. The dissertation proposes a macro productivity-efficiency analysis while taking care of the inter-linkages in the economy. This is extended to address to a few important issues of the Indian economy, viz. income distribution, poverty, wage inequality between skilled and unskilled labour, returns to education and performance of formal and informal sectors. These above-mentioned issues are captured with the help of three independent essays. The analytical tool is based on a general equilibrium-activity analysis where welfare maximization subject to input and trade constraints results in competitive equilibrium. Competitive input prices reflect factor productivity. Incorporation of input-output framework captures the inter-sectoral linkages. The social accounting matrix (SAM), which plays an important role in establishing inter-linkages in the economy by combining input-output analysis and household income distribution, provides the basic data set for our model.
Tsallis and Renyi's embedded entropy based mutual information for multimodal image registration
No full text
G-Drazin inverse combined with inner inverse
No full text[EN] This article introduces new classes of generalized inverses for square matrices named GD1, and the dual, called 1GD inverse. In addition, we discuss a few characterizations and representations of these inverses. The explicit expressions of these inverses have been established via core-nilpotent decomposition. Further, we introduce a binary relation for GD1 inverse and 1GD inverse, along with a few derived properties.The second author is partially supported by the Science & Engineering Research Board (SERB),Govt. of India [grant ID SUR/2022/004357]. The third author was partially supported by the Universidad Nacional de Rio Cuarto [grant PPI 18/C559], Universidad Nacional de La Pampa, Facultadde Ingenieria [grant resol. nro. 135/19], Universidad Nacional del Sur [grant PGI 24/L108], and Ministerio de Economia, Industria y Competitividad (Spain) [grant red de excelencia RED2022-134176-T].Maharana, G.; Sahoo, JK.; Thome, N. (2024). G-Drazin inverse combined with inner inverse. Linear and Multilinear Algebra. https://doi.org/10.1080/03081087.2024.2316786
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