Search
811 articles for “linearly”
-
Artificial Intelligence–Assisted Reduced-Order Modeling and Stability Control in Granular Couette Flow
Abstract: This study develops a reduced-order and stability-aware modeling framework for dense granular Couette flow by integrating continuum mechanics, bifurcation analysis, and data-driven stability estimation. Starting from coupled governing equations for momentum, granular temperature, and microstructural evolution, the system is nondimensionalized and reduced using a Galerkin projection consistent with shear-driven boundary conditions. This yields a low-dimensional nonlinear dynamical system that preserves the essential coupling between velocity, fluctuation energy, and structural relaxation. …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 3, 2026 Read article
-
Machine Learning-Based Channel Estimation in 5G, Beyond-5G, and 6G Networks: Recent Advances and Future Directions
Abstract: Accurate channel estimation is one of the most fundamental challenges in modern wireless communication systems. In fifth- generation (5G) New Radio (NR) and emerging sixth-generation (6G) networks, precise knowledge of the wireless channel is essential for achieving reliable data transmission, high spectral efficiency, and low Bit Error Rate (BER). Conventional estimation techniques such as Least Squares (LS) and Minimum Mean Square Error (MMSE) rely on mathematical channel models and predefined …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
-
Modelling and Simulation of a Combined System Geothermal Binary Plant and Parabolic Solar Concentrator
Abstract: The present work describes a new prototype that uses the concentrated solar radiation to improve the performance of geothermal power plants. Current methods of heat recovering have been used to reduce the amount of fossil fuel used to produce vapor or to increase gas pressure and temperature, depending on the type of system; however, concentrated solar energy is an unknown resource that may help to increase vapor production at a …
Published in Journal of Thermal Engineering and Applications · Vol. 8, Issue 1, 2021 · pp. 23–46 Read article
-
Object Tracking Using Finite Element Method and Branching Filter
Abstract: AbstractWe present an approach to robustly track the object behavior that turns over time from a set of input points from a single viewpoint. The distortions considered are caused by applying forces to known Harris function on the object’s surface. Our method combines the use of prior information on the geometry of the object modeled by a smooth template and the use of a finite element method to predict the …
Published in Current Trends in Signal Processing · Vol. 7, Issue 3, 2017 · pp. 35–40 Read article
-
Comparative Study of Structure-from-Motion Algorithms 3D Shape Reconstruction
Abstract: 3D shape reconstruction from multiview photographs and video sequences (2D images) is an active area of research. Existing face recognition systems are based on 2D facial images and exhibit well-known deficiencies. Accordingly, the face recognition research is gradually shifting from classical 2D to sophisticated 3D or hybrid 2D/3D. Currently the 3D reconstruction algorithms may be grouped in to four categories. These are shape-from-X, 3D morphable model (3DMM), structure from motion …
Published in Current Trends in Signal Processing · Vol. 6, Issue 1, 2016 · pp. 1–10 Read article
-
Performance Improvement of Digital Video Watermarking
Abstract: In this paper, implementation and performance analysis of digital video watermarking that uses the combination of the transform domain processing of the video and fundamentals of the linear algebra are stated. We used concept of discrete wavelet transform and singular value decomposition for the development of the proposed algorithm. We first applied discrete wavelet transform and then used the singular values, obtained by singular value decomposition, for the insertion of …
Published in Current Trends in Signal Processing · Vol. 6, Issue 1, 2016 · pp. 35–43 Read article
-
Efficient Partial Update Algorithm over Wireless Networks
Abstract: Adaptive partial update algorithm is developed based on incremental method. The proposed algorithm applies in real time changing environment. The proposed algorithm responds to linear estimation with nodes in cooperative manner and less number of computations. The algorithm has powerful advantage is that it requires less number of coefficient and reduced computational and communication complexity in wireless sensor network. It is efficient because it has power of solving distributed estimation …
Published in Current Trends in Signal Processing · Vol. 6, Issue 3, 2016 · pp. 1–8 Read article
-
Incremental Partial Update Strategies Over Distributed Networks
Abstract: This paper presents a partial update adaptive strategies based on incremental techniques. The proposed strategies apply to the problem of linear estimation with less number of computations in a cooperative manner. A partial update technique for updating the LMS filter coefficient is an effective method for reduced computational load and power consumption in adaptive filter implementation. It is promising approach to reducing complexity, potential to improve performance while permits complexity …
Published in Current Trends in Signal Processing · Vol. 5, Issue 2, 2015 · pp. 1–8 Read article
-
Blind Separation of Instantaneous Mixtures of Sources Using Stochastic Calculus
Abstract: Stochastic calculus methods are used to estimate the Nonstationary components of a linear mixture. Each component in the mixture is assumed to follow a stochastic differential equation with some unknown parameters. The estimation of the stochastic process parameters and the estimation of the unknown amplitudes of the mixture matrix, through Girsanov theory, will generate a stochastic equation for each unknown process. Several examples are given, and a comparison to existing …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 26–48 Read article
-
Spike Detection and Processing of TDEM Signals using Wavelet Transform
Abstract: This paper presents a new method for spike detection, parameterization and processing in ground based Time Domain Electromagnetic (TDEM) signals. Time Domain Electromagnetic methods are used for mineral exploration by sub-surface conductivity measurement of Earth. The Earth’s response measured using inductive sensors are contaminated by spikes in form of sferics and due to load and phase shift in power distribution lines. The spikes present in the measured signal can significantly …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 82–92 Read article
-
Video Watermarking – Implementation and Performance Analysis of Combined DWT – SVD Approach
Abstract: In this Paper, the authors state the implementation and performance analysis of digital video watermarking that use the combination of the transform domain processing of the video and fundamentals of the linear algebra. The concept of Discrete Wavelet Transform and Singular Value Decomposition has been used for the development of the proposed algorithm. The authors first applied discrete wavelet transform and then used the singular values, obtained by Singular Value …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 106–114 Read article
-
Network Traffic Analysis Using Machine Learning
Abstract: Network traffic analysis and prediction has applications in a variety of fields and has recently attracted a considerable number of studies. To find numerous issues with current computer network applications, various sorts of studies are carried out and reported. A proactive strategy to guarantee safe, dependable, and high-quality network communications is network traffic analysis and prediction. For network traffic analysis, several methods, including data mining and neural network-based methods, are …
Published in Current Trends in Signal Processing · Vol. 12, Issue 3, 2022 · pp. 17–23 Read article
-
A Review: Digital Image Processing
Abstract: Image Processing consists of converting the nature of a photograph with a view to improve its pictorial records for human interpretation, for independent system notion. virtual picture processing is a subset of the electronic area in which the image is transformed to an array of small integers, referred to as pixels, representing a bodily amount inclusive of scene radiance, saved in a virtual reminiscence, and processed by using pc or …
Published in Current Trends in Signal Processing · Vol. 12, Issue 3, 2022 · pp. 12–16 Read article
-
Steady State Visual Evoked Potential Based Brain Computer Interface System
Abstract: The steady-state visual evoked potential (SSVEP) is a brain response that can be measured by an electroencephalogram (EEG) when a subject looks at periodic luminance- or contrast-modulated stimuli. In this study, flickering Light Emitting Diode (LED) is used as visual stimulation. Mostly, brain response is recorded using an electroencephalograph (EEG) and recorded in the brain's occipital lobe which is associated with human vision. The study encompasses key stages, beginning with …
Published in Current Trends in Signal Processing · Vol. 13, Issue 3, 2023 · pp. 35–43 Read article
-
Substantial Enrichment of Mechanical, Thermal and Electrical Properties of Thermoplastic Polyester Elastomer by Melt Blending with Nano-ZnO
Abstract: Polymers are more reinforced with nano-metal oxides, a completely flexible composite of engineering that simplifies the way of exhibiting good mechanical and chemical features. Polymer mixtures represent a very vital field in the handling of innovative ingredients, which have better features than net polymers. Polymer mixtures can deliver ingredients with prolonged useful features beyond the range that can be achieved from a single polymer equivalent. A methodical study was performed …
Published in Emerging Trends in Chemical Engineering · Vol. 9, Issue 1, 2022 · pp. 12–22 Read article
-
A New Approach to Analyze the Performance of Flat Plate Collector
Abstract: AbstractAs per standards, the thermal efficiency test for the flat plate collector is used to be conducted under specified steady state conditions and then incident angle modifier ‘Kτα’ has been used to calculate the thermal efficiency at a different angle of incidence. These standards do not consider the effect of solar azimuth angle, as well as time consumption and require the costly test setup. In this paper, a new approach …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 9, Issue 2, 2018 · pp. 39–49 Read article
-
Analysis of The Performance of A PV/PCM System in Variable Solar Radiation Conditions
Abstract: This paper studies the performance of a PV/PCM system operating at variable solar radiation conditions. The system has been tested for six different solar radiation levels, from 250 W/m2 to 950 W/m2 determining the steady-state temperature for every case. An algorithm has been developed to predict the steady-state temperature. This prediction has produced values within 97% accuracy of experimental data. A reduction of temperature up to 18.9ºC has been achieved. …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 12, Issue 1, 2021 · pp. 1–20 Read article
-
Green Synthesis of Biologically Active 2, 4, 5- Trisubstituted Imidazoles Catalyzed by Large Pore Zeolite H-BEA through Lophine MCRs
Abstract: 2, 4, 5-triphenyl-1(H)-imidazoles (popularly known as Lophine derivatives) are well known heterocyclic compounds and find significant diversified applications, not only in the area of medicinal chemistry as biologically active drug-like molecules, but also in the other advanced research areas, such as fluorescence labelling, biological imaging and chromospheres for non-linear optic system. In the present endeavour, a green synthesis of Lophine derivatives via multi-component reaction is carried out using benzil/benzoin, substituted …
Published in Journal of Catalyst & Catalysis · Vol. 4, Issue 3, 2017 · pp. 20–36 Read article
-
Perturbant Effect of Iron in Free and Complexed Form on the Briggs-Rauscher Oscillating Reaction
Abstract: The present work is aimed to investigate the perturbations of the oscillatory regime of Briggs-Rauscher (BR) reaction by Fe(bipy)32+ and Fe(C2O4)33‑ complexes in a continuous stirred tank reactor (CSTR). The path of the perturbation (immediate quenching of oscillation -inhibition time- resumption of oscillations) provoked by the ferrous complex (Fe(bipy)32+) was found different to that of the ferric complex (Fe(C2O4)33‑). The initial concentration of Fe(bipy)32+ complex showed a linear dependence on …
Published in Journal of Catalyst & Catalysis · Vol. 2, Issue 2, 2015 · pp. 15–18 Read article
-
Time Cost Optimization Techniques in Construction Industries-A Review Article
Abstract: Construction project scheduling and optimizing the schedule has received a considerable amount of attention over the last few decades. Completion of a project in optimum time and minimum cost is a challenge in every project. There are many methods and algorithms available; using which time cost optimization (TCO) can be achieved. This article gives a review on critical path method (CPM), linear programming (LP), genetic algorithm (GA) and ant colony …
Published in Journal of Construction Engineering, Technology & Management · Vol. 5, Issue 2, 2015 · pp. 28–32 Read article