Discover research

Access over 160 million publication pages and stay up to date with what's happening in your field.

Color Image Watermarking Using Quaternion Fourier Transform

The paper presents a digital color image watermarking scheme using a hypercomplex numbers representation and the quaternion Fourier transform (QFT). Previous color image watermarking methods are first presented and the quaternion representation is then described. In this framework, RGB pixel values are associated with a unique quaternion number having three imaginary parts. The QFT is presented; this transform depends on an arbitrary unit pure quaternion, μ. The value of μ is selected to provide embedding spaces having robustness and/o...


Download paper Get Code

Control and optimisation of photovoltaic water pumping system using sliding mode

A sliding mode controller for the photovoltaic pumping system has been proposed in this paper. This system is composed of a photovoltaic generator supplying a three-phase permanent magnet synchronous motor coupled to a centrifugal pump through a three-phase voltage inverter. The objective of this study is to minimise the number of regulators ...


Download paper Get Code

Modeling and Simulation of a Solar-Powered Quadcopter Using MATLAB

Solar-powered quadcopters have the potential to revolutionize the way we think about aerial transportation and surveillance. These aircraft can potentially fly for extended periods of time without the need for external fuel, making them ideal for a wide range of applications. In this paper, we present a modeling and simulation approach for a solar-powered quadcopter using MATLAB. The model includes the quadcopter’s dynamics, solar panel power generation, and energy storage system. A PID control system for the solar-powered quadcopter s...


Download paper Get Code

A user-friendly and accurate machine learning tool for the evaluation of the worldwide yearly photovoltaic electricity production

While traditional methods for modelling the thermal and electrical behaviour of photovoltaic (PV) modules rely on analytical and empirical techniques, machine learning is gaining interest as a way to reduce the time, expertise, and tools required by designers or experts while maintaining high accuracy and reliability. This research presents a data-driven machine learning tool based on artificial neural networks (ANNs) that can forecast yearly PV electricity directly at the optimal PV inclination angle without geographic restrictions and is v...


Download paper Get Code

Deep learning-based fault location framework in power distribution grids employing convolutional neural network based on capsule network

Power distribution grids (PDGs) are one of the main parts of electrical logistic chains with the task of transferring electricity to the consumers continually. Adverse weather conditions, equipment failure, and human disruption can bring about the PDGs to faulty situations leading to the inevitable interrupting power consumption which results in financial losses. Therefore, it is vital to locate the faulty spot accurately and quickly. In this paper, an automatic deep learning framework is implemented to locate faults in the PDGs with limited...


Download paper Get Code

NUMERICAL SOLUTION OF NON-SIMILAR BOUNDARY-LAYER FLOW OVER A CYLINDER

This paper presents ? numerical solution of a non-similar two-dimensional boundary-layer flow over a cylinder. The assumptions and related two-dimensiona...


Download paper Get Code

Study of Performance of the Flexible (Al-Based) N-PVT-TEC Collectors in Different Configurations

The opaque photovoltaic thermal (PVT) produces both thermal and electrical energy. In order to increase thermal energy, we have considered flexible (Al-based) photovoltaic (PV) module for the present study. Further, we have considered thermo-electric cooler (TEC) integrated with flexible PV module to enhance electrical power. As a result, an overall power can be increased in flexible PVT-TEC collector. A concept of series and parallel combination of flexible PVT-TEC collectors is proposed to optimize series (n) and parallel (m) combinations ...


Download paper Get Code

Analytical solutions and mathematical simulation of traveling wave solutions to fractional order nonlinear equations

We investigate the tanh-coth method's usefulness in understanding space-time fractional nonlinear evolution problems. To use this method and then examine their plots, we take into consideration three significant equations: the space-time fractional Burgers equation, the space-time fractional regularized long wave equation, and the space-time fractional Boussinesq equation. The modified Riemann-Liouville derivatives are used to define the fractional derivative. The approach provides a linearization-or small perturbation-free analytical soluti...


Download paper Get Code

A Matlab software for visualizing user-interface interactive networks

Based on the previous web tool, I developed a Matlab software, netVisual, for generating a HTML file from which the user-interface interactive network can be visualized in the web browsers. In the network, the user can mouse-press any node to drag the network, to examine network topology, and to evaluate node centrality, etc. It can be freely used and run on popular web browsers as Chrome, etc. Both netVisual and demonstration data files are given. ...


Download paper Get Code

Using Structural Equation Model Questionnaire Technology for Assessing Blending Teaching in STEAM Courses

Questionnaires for blending teaching e?ect evaluation from the perspective of science, tech- nology, engineering, arts, and mathematics (STEAM) were reviewed in this study, and mea- surement problems for the questionnaire were designed. E?ects of online and o?ine teaching ...


Download paper Get Code