This document describes a study that uses mathematical modeling and computer simulation to analyze the processes involved in electrostatic separation and precipitation. The study develops computer models of cylindrical electrostatic separators charged with both direct current and alternating current. The models are based on solving systems of differential equations that describe the motion, forces, and electric fields affecting macroscopic charged particles within the separator space. The computer simulations analyze the kinematics, dynamics and trajectories of particles moving through the separators. They provide insights into critical operating states for AC charged separators and the effects of various factors like gradient force on particle motion. The models and simulations improve understanding of separation processes compared to prior empirical approaches and enable more complex analysis of particle ballistics.
Evaluation of Vibrational Behavior for A System With TwoDegree-of-Freedom Und...IJERA Editor
Analysis of the vibrational behavior of a system is extremely important, both for the evaluation of operating conditions, as performance and safety reason. The studies on vibration concentrate their efforts on understanding the natural phenomena and the development of mathematical theories to describe the vibration of physical systems. The purpose of this study is to evaluate an undamped system with two-degrees-of-freedom and demonstrate by comparing the results obtained in the experimental, numerical and analytical modeling the characteristics that describe a structure in terms of its natural characteristics. The experiment was conducted in PUC-MG where the data were acquired to determine the natural frequency of the system. We also developed an experimental test bed for vibrations studies for graduate and undergraduate students. In analytical modeling were represented all the important aspects of the system. In order, to obtain the mathematical equations is used MATLAB to solve the equations that describe the characteristics of system behavior. For the simulation and numerical solution of the system, we use a computational tool ABAQUS. The comparison between the results obtained in the experiment and the numerical was considered satisfactory using the exact solutions. This study demonstrates that calculation of the adopted conditions on a system with two-degrees-of-freedom can be applied to complex systems with many degrees of freedom and proved to be an excellent learning tool for determining the modal analysis of a system. One of the goals is to use the developed platform to be used as a didactical experiment system for vibration and modal analysis classes at PUC Minas. The idea is to give the students an opportunity to test, play, calculate and confirm the results in vibration and modal analysis in a low-cost platform
A robust data treatment approach for fuel cells system analysisISA Interchange
The document describes a robust approach for analyzing data from fuel cell stack testing. It addresses challenges in handling large amounts of data from multiple devices. The approach includes:
1) Developing an interface in Excel to automate data handling and analysis across Excel and MATLAB for improved efficiency.
2) Using dynamic time warping to synchronize data sequences and align them based on time for better comparison.
3) Applying data reconciliation to optimally adjust measurements so they obey physical constraints like conservation of voltage sums, improving accuracy of analysis.
Effect of elements on linear elastic stress analysiseSAT Journals
Abstract The question of “what type of elements should be used?” never fails to pop up in the minds of analysts when carrying out finite element analysis (FEA). Indeed, the selection of elements from a variety of different types of elements is part and partial of FEA. Initially, only one-dimensional (1D) elements were developed. The introduction of two-dimensional (2D) and three dimensional (3D) elements, which came later, greatly increase the capability of finite element (FE) programs to model and solve complex engineering problems. Not only do these elements provide improvement in accuracy of the results but also brought about new challenges which include evaluation of numerical errors, validity of results, setup and execution time as well as large computer memory capacity. The outcome of the analysis is very much dependent of the type of element chosen. The aim of this paper is to investigate the factors influencing the selection of elements in FEA by considering the effects of different types of elements on the results of FEA. A simple case study of an I-beam subjected to an asymmetric load is carried out by FEA. Three different models of the I-beam were prepared and analyzed separately using 1D elements, 2D elements, and 3D elements. The results of these models were compared with the mathematical model of the I-beam. The FEA results of these models showed good agreement with the theoretical calculation despite the small and negligible errors in the analysis. Since the aim of FEA is an effective and efficient solution to engineering problems, it becomes a necessity to consider factors such as structural shape, desired analysis results, and computer capability while choosing the right element for the analysis. Keywords: Finite Element Analysis (FEA), Modeling, Stress Analysis, and Linear Static Analysis.
Reconstruction of electrical impedance tomography images based on the expecta...ISA Interchange
Electrical impedance tomography (EIT) calculates the internal conductivity distribution within a body using electrical contact measurements. The image reconstruction for EIT is an inverse problem, which is both non-linear and ill-posed. The traditional regularization method cannot avoid introducing negative values in the solution. The negativity of the solution produces artifacts in reconstructed images in presence of noise. A statistical method, namely, the expectation maximization (EM) method, is used to solve the inverse problem for EIT in this paper. The mathematical model of EIT is transformed to the non-negatively constrained likelihood minimization problem. The solution is obtained by the gradient projection-reduced Newton (GPRN) iteration method. This paper also discusses the strategies of choosing parameters. Simulation and experimental results indicate that the reconstructed images with higher quality can be obtained by the EM method, compared with the traditional Tikhonov and conjugate gradient (CG) methods, even with non-negative processing.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
A nonlinear model for the vibration suppression of a smart composite elastic plate using graphical representation involving fuzzy control is presented. The plate follows the von Kármán and Kirchhoff plate bending theories and the oscillations are caused by external transversal loading forces, which are applied directly on it. Two different control forces, one continuous and one located at discrete points, are considered. The mechanical model is spatially discretized by using the time spectral Galerkin and collocation methods. The aim is to suppress vibrations through a simulation process within a modern graphical computing environment. Here we use MATLAB/SIMULINK, while other similar packages can be used as well. The nonlinear controller is designed, based on an application of a Mamdani-type fuzzy inference system. A computational algorithm, proposed and tested here is not only effective but robust as well. Furthermore, all elements of the study can be replaced or extended, due to the flexibility of the used SIMULINK environment.
The document discusses finite element methods and their applications in microelectromechanical systems (MEMS). It covers the basic formulation of finite element methods, including discretization, selection of displacement functions, derivation of element stiffness matrices, and assembly of global equations. It also discusses specific applications of finite element analysis to problems in MEMS like heat transfer analysis, thermal stress analysis, and static/modal analysis. The finite element method is well-suited for complex geometries and materials and can model irregular shapes, general loads/boundary conditions, and nonlinear behavior.
A comparative study of clustering and biclustering of microarray dataijcsit
There are subsets of genes that have similar behavior under subsets of conditions, so we say that they
coexpress, but behave independently under other subsets of conditions. Discovering such coexpressions can
be helpful to uncover genomic knowledge such as gene networks or gene interactions. That is why, it is of
utmost importance to make a simultaneous clustering of genes and conditions to identify clusters of genes
that are coexpressed under clusters of conditions. This type of clustering is called biclustering.
Biclustering is an NP-hard problem. Consequently, heuristic algorithms are typically used to approximate
this problem by finding suboptimal solutions. In this paper, we make a new survey on clustering and
biclustering of gene expression data, also called microarray data.
Evaluation of Vibrational Behavior for A System With TwoDegree-of-Freedom Und...IJERA Editor
Analysis of the vibrational behavior of a system is extremely important, both for the evaluation of operating conditions, as performance and safety reason. The studies on vibration concentrate their efforts on understanding the natural phenomena and the development of mathematical theories to describe the vibration of physical systems. The purpose of this study is to evaluate an undamped system with two-degrees-of-freedom and demonstrate by comparing the results obtained in the experimental, numerical and analytical modeling the characteristics that describe a structure in terms of its natural characteristics. The experiment was conducted in PUC-MG where the data were acquired to determine the natural frequency of the system. We also developed an experimental test bed for vibrations studies for graduate and undergraduate students. In analytical modeling were represented all the important aspects of the system. In order, to obtain the mathematical equations is used MATLAB to solve the equations that describe the characteristics of system behavior. For the simulation and numerical solution of the system, we use a computational tool ABAQUS. The comparison between the results obtained in the experiment and the numerical was considered satisfactory using the exact solutions. This study demonstrates that calculation of the adopted conditions on a system with two-degrees-of-freedom can be applied to complex systems with many degrees of freedom and proved to be an excellent learning tool for determining the modal analysis of a system. One of the goals is to use the developed platform to be used as a didactical experiment system for vibration and modal analysis classes at PUC Minas. The idea is to give the students an opportunity to test, play, calculate and confirm the results in vibration and modal analysis in a low-cost platform
A robust data treatment approach for fuel cells system analysisISA Interchange
The document describes a robust approach for analyzing data from fuel cell stack testing. It addresses challenges in handling large amounts of data from multiple devices. The approach includes:
1) Developing an interface in Excel to automate data handling and analysis across Excel and MATLAB for improved efficiency.
2) Using dynamic time warping to synchronize data sequences and align them based on time for better comparison.
3) Applying data reconciliation to optimally adjust measurements so they obey physical constraints like conservation of voltage sums, improving accuracy of analysis.
Effect of elements on linear elastic stress analysiseSAT Journals
Abstract The question of “what type of elements should be used?” never fails to pop up in the minds of analysts when carrying out finite element analysis (FEA). Indeed, the selection of elements from a variety of different types of elements is part and partial of FEA. Initially, only one-dimensional (1D) elements were developed. The introduction of two-dimensional (2D) and three dimensional (3D) elements, which came later, greatly increase the capability of finite element (FE) programs to model and solve complex engineering problems. Not only do these elements provide improvement in accuracy of the results but also brought about new challenges which include evaluation of numerical errors, validity of results, setup and execution time as well as large computer memory capacity. The outcome of the analysis is very much dependent of the type of element chosen. The aim of this paper is to investigate the factors influencing the selection of elements in FEA by considering the effects of different types of elements on the results of FEA. A simple case study of an I-beam subjected to an asymmetric load is carried out by FEA. Three different models of the I-beam were prepared and analyzed separately using 1D elements, 2D elements, and 3D elements. The results of these models were compared with the mathematical model of the I-beam. The FEA results of these models showed good agreement with the theoretical calculation despite the small and negligible errors in the analysis. Since the aim of FEA is an effective and efficient solution to engineering problems, it becomes a necessity to consider factors such as structural shape, desired analysis results, and computer capability while choosing the right element for the analysis. Keywords: Finite Element Analysis (FEA), Modeling, Stress Analysis, and Linear Static Analysis.
Reconstruction of electrical impedance tomography images based on the expecta...ISA Interchange
Electrical impedance tomography (EIT) calculates the internal conductivity distribution within a body using electrical contact measurements. The image reconstruction for EIT is an inverse problem, which is both non-linear and ill-posed. The traditional regularization method cannot avoid introducing negative values in the solution. The negativity of the solution produces artifacts in reconstructed images in presence of noise. A statistical method, namely, the expectation maximization (EM) method, is used to solve the inverse problem for EIT in this paper. The mathematical model of EIT is transformed to the non-negatively constrained likelihood minimization problem. The solution is obtained by the gradient projection-reduced Newton (GPRN) iteration method. This paper also discusses the strategies of choosing parameters. Simulation and experimental results indicate that the reconstructed images with higher quality can be obtained by the EM method, compared with the traditional Tikhonov and conjugate gradient (CG) methods, even with non-negative processing.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
A nonlinear model for the vibration suppression of a smart composite elastic plate using graphical representation involving fuzzy control is presented. The plate follows the von Kármán and Kirchhoff plate bending theories and the oscillations are caused by external transversal loading forces, which are applied directly on it. Two different control forces, one continuous and one located at discrete points, are considered. The mechanical model is spatially discretized by using the time spectral Galerkin and collocation methods. The aim is to suppress vibrations through a simulation process within a modern graphical computing environment. Here we use MATLAB/SIMULINK, while other similar packages can be used as well. The nonlinear controller is designed, based on an application of a Mamdani-type fuzzy inference system. A computational algorithm, proposed and tested here is not only effective but robust as well. Furthermore, all elements of the study can be replaced or extended, due to the flexibility of the used SIMULINK environment.
The document discusses finite element methods and their applications in microelectromechanical systems (MEMS). It covers the basic formulation of finite element methods, including discretization, selection of displacement functions, derivation of element stiffness matrices, and assembly of global equations. It also discusses specific applications of finite element analysis to problems in MEMS like heat transfer analysis, thermal stress analysis, and static/modal analysis. The finite element method is well-suited for complex geometries and materials and can model irregular shapes, general loads/boundary conditions, and nonlinear behavior.
A comparative study of clustering and biclustering of microarray dataijcsit
There are subsets of genes that have similar behavior under subsets of conditions, so we say that they
coexpress, but behave independently under other subsets of conditions. Discovering such coexpressions can
be helpful to uncover genomic knowledge such as gene networks or gene interactions. That is why, it is of
utmost importance to make a simultaneous clustering of genes and conditions to identify clusters of genes
that are coexpressed under clusters of conditions. This type of clustering is called biclustering.
Biclustering is an NP-hard problem. Consequently, heuristic algorithms are typically used to approximate
this problem by finding suboptimal solutions. In this paper, we make a new survey on clustering and
biclustering of gene expression data, also called microarray data.
The Effect of 2-D Resistivity on Magnetic Field IRJET Journal
The document discusses a study that investigated the effect of 2-D resistivity on magnetic field values. 2-D resistivity and magnetic surveys were conducted along four 40m lines at a field site. Magnetic readings were first taken without resistivity, then taken simultaneously with resistivity. Results showed magnetic field values decreased when measured with resistivity due to electrical currents generated. However, resistivity data was not affected by magnetic surveys. The study concluded the two methods should be conducted separately for accurate data.
Hybrid Algorithm for Dose Calculation in Cms Xio Treatment Planning SystemIOSR Journals
This study aimed at designing an improved hybrid algorithm by explicitly solving the linearized Boltzmann transport equation (LBTE) which is the governing equation that describes the macroscopic behaviour of radiation particles (neutrons, photons, electrons, etc). The algorithm accuracy will be evaluated using a newly designed in-house verification phantom and its results will be compared to those of the other XiO photon algorithms. The LBTE was solved numerically to compute photon transport in a medium. A programming code (algorithm) for the LBTE solution was developed and applied in the treatment planning system (TPS). The accuracy of the algorithm was evaluated by creating several plans for both the designed phantom and solid water phantom using the designed algorithm and other Xio photon algorithms. The plans were sent to a pre-calibrated Eleckta linear accelerator for measurement of absorbed dose.The results for all treatment plans using the hybrid algorithm compared to the 3 Xio photon algorithms were within 4 % limit. Calculation time for the hybrid algorithm was less in plans with larger number of beams compared to the other algorithms; however, it is higher for single beam plans. The hybrid algorithm provides comparable accuracy in treatment planning conditions to the other algorithms. This algorithm can therefore be employed in the calculation of dose in advance techniques such as IMRT and Rapid Arc by a radiotherapy centres with cmsxio treatment planning system as it is easy to implement.
POSTERIOR RESOLUTION AND STRUCTURAL MODIFICATION FOR PARAMETER DETERMINATION ...IJCI JOURNAL
When only a few lower modes data are available to evaluate a large number of unknown parameters, it is
difficult to acquire information about all unknown parameters. The challenge in this kind of updation
problem is first to get confidence about the parameters that are evaluated correctly using the available
data and second to get information about the remaining parameters. In this work, the first issue is resolved
employing the sensitivity of the modal data used for updation. Once it is fixed that which parameters are
evaluated satisfactorily using the available modal data the remaining parameters are evaluated employing
modal data of a virtual structure. This virtual structure is created by adding or removing some known
stiffness to or from some of the stories of the original structure. A 12-story shear building is considered for
the numerical illustration of the approach. Results of the study show that the present approach is an
effective tool in system identification problem when only a few data is available for updation.
On the Size-dependent Nonlinear Behavior of a Capacitive Rectangular Micro-pl...Kaveh Rashvand
This research deals with the effect of the intrinsic material length-scale parameter on the stability of a fully clamped rectangular micro-plate, which can be used as a RF MEMS resonator. A modified couple stress theory is utilized to model the micro-plate, considering the variable material length-scale parameter. The nonlinear governing equation of motion for static analysis is solved using the step-by-step linearization method (SSLM) and the static pull-in parameters, limiting the stable regions of capacitive resonators, are determined and compared to those obtained by the classical theory. The numerical results reveal that the intrinsic size dependence of materials leads to an increase in the pull-in voltage and natural frequency depending on the thickness of the micro-plate. Comparing these results to the experimental outcomes shows that utilizing the fixed material length-scale leads to unrealistic results in some manner.
ESTIMATION OF THE PARAMETERS OF SOLAR CELLS FROM CURRENT-VOLTAGE CHARACTERIST...ijscai
1. The document presents a method for calculating key solar cell parameters (light generated current, series resistance, shunt resistance, reverse saturation currents) from current-voltage characteristics using a genetic algorithm.
2. The genetic algorithm was able to accurately estimate parameters when applied to simulated solar cell data and experimental data from different space-quality solar cells.
3. Estimated parameters matched well before and after radiation exposure and between illuminated and dark cell measurements, demonstrating the method's effectiveness.
This document presents a finite element analysis of a stepped bar subjected to axial loading using MATLAB and ANSYS. It begins with an introduction to finite element analysis and describes how MATLAB and ANSYS can be used to model and analyze engineering problems. The document then outlines the specific procedure used to analyze a stepped bar, including defining the problem, developing the analytical solution, and determining displacements and stresses at nodes. The results obtained from MATLAB and finite element analysis are shown to be similar, while ANSYS results are also close. The document concludes the analysis methods allow solving problems efficiently and with less error compared to manual calculations.
Character recognition is a new research field in the domain of pattern recognition which deals with the
style of writing. Some of the challengeable problems in character identification are changing in the style of
writing, font and turns of words and etc. In this paper, the goal is Persian character identification using
independent orthogonal moment as the feature extraction technique.The proposed feature extraction
method is the combination of Pseudo-Zernike Moment and Fourier-Mellin Moment called Pseudo-Zernike-
Mellin Moment to extract feature vector from Persian characters. The proposed character identification
system is evaluated on the HODA dataset and obtained 97.76% acceptance rate.
Improved probabilistic distance based locality preserving projections method ...IJECEIAES
In this paper, a dimensionality reduction is achieved in large datasets using the proposed distance based Non-integer Matrix Factorization (NMF) technique, which is intended to solve the data dimensionality problem. Here, NMF and distance measurement aim to resolve the non-orthogonality problem due to increased dataset dimensionality. It initially partitions the datasets, organizes them into a defined geometric structure and it avoids capturing the dataset structure through a distance based similarity measurement. The proposed method is designed to fit the dynamic datasets and it includes the intrinsic structure using data geometry. Therefore, the complexity of data is further avoided using an Improved Distance based Locality Preserving Projection. The proposed method is evaluated against existing methods in terms of accuracy, average accuracy, mutual information and average mutual information.
Implementation of Radon Transformation for Electrical Impedance Tomography (E...ijistjournal
Radon Transformation is generally used to construct optical image (like CT image) from the projection data in biomedical imaging. In this paper, the concept of Radon Transformation is implemented to reconstruct Electrical Impedance Topographic Image (conductivity or resistivity distribution) of a circular subject. A parallel resistance model of a subject is proposed for Electrical Impedance Topography(EIT) or Magnetic Induction Tomography(MIT). A circular subject with embedded circular objects is segmented into equal width slices from different angles. For each angle, Conductance and Conductivity of each slice is calculated and stored in an array. A back projection method is used to generate a two-dimensional image from one-dimensional projections. As a back projection method, Inverse Radon Transformation is applied on the calculated conductance and conductivity to reconstruct two dimensional images. These images are compared to the target image. In the time of image reconstruction, different filters are used and these images are compared with each other and target image.
Dynamic Structural Optimization with Frequency ConstraintsIJMER
This document summarizes a research paper on dynamic structural optimization with frequency constraints. It discusses using finite element modeling and an evolution optimization technique to optimize a structure's natural frequencies. The technique calculates sensitivity parameters to determine how removing individual elements affects natural frequencies. It can increase or decrease frequencies, or change the gap between frequencies. Examples optimize a cantilever plate model to increase the first frequency, decrease the first frequency, and increase the gap between the first two frequencies. The technique provides an easy way to control dynamic characteristics and obtain new optimized topology designs using common finite element software.
Homogeneous dynamic characteristics of damped 2 d elastic latticesUniversity of Glasgow
Lattice materials are characterised by their equivalent elastic moduli for analysing mechanical properties of the microstructures. The values of the elastic moduli under static forcing condition are primarily dependent on the geometric properties of the constituent unit cell and the mechanical properties of the intrinsic material. Under a static forcing condition, the equivalent elastic moduli (such as Young's modulus) are always positive. Poisson’s ratio can be positive or negative, depending only on the geometry of the lattice (e.g., re-entrant lattices have negative Poisson’s ratio). When dynamic forcing is considered, the equivalent elastic moduli become functions of the applied frequency and can become negative at certain frequency values. This paper, for the first time, explicitly demonstrates the occurrence of negative equivalent Young's modulus in lattice materials. In addition, we show the reversal of Poisson’s ratio. Above certain frequency values, a regular lattice can have negative Poisson’s ratio, while a re-entrant lattice can have a positive Poisson’s ratio. Using a titanium-alloy hexagonal lattice metastructure, it is shown that the real part of experimentally measured in-plane Young's modulus becomes negative under a dynamic environment as well as the reversal of the real part of the Poisson’s ratio. In fact, we show that the onset of negative Young's modulus and Poisson’s ratio reversal in lattice materials can be precisely determined by capturing the sub-wavelength scale dynamics of the system. Experimental confirmation of the negative Young's moduli and Poisson’s ratio reversal together with the onset of the same as a function of frequency provide the necessary physical insights and confidence for its potential exploitation in various multi-functional structural systems and devices across different length scales.
Unsupervised Clustering Classify theCancer Data withtheHelp of FCM AlgorithmIOSR Journals
This document discusses using fuzzy C-means (FCM) clustering to classify cancer data. It begins with an introduction to cluster analysis and cluster validity. It then provides details on FCM clustering, including the FCM algorithm and an example of classifying 4 cancer patient data points into 2 clusters based on medicine efficiency and penetration speed. The summary finds that initially 1 patient is classified into the improving cluster and 3 into the collapsing cluster, but after FCM classification 3 patients are classified as improving and 1 as collapsing.
The document describes a new algorithm for long-term robust visual tracking of moving objects in video sequences. The algorithm aims to overcome challenges such as geometric deformations, partial or total occlusions, and recovery after the target leaves the field of vision. It does not rely on a probabilistic process or require prior detection data. Experimental results on difficult video sequences demonstrate advantages over recent trackers. The algorithm can be used in applications like video surveillance, active vision, and industrial visual servoing.
Multi objective predictive control a solution using metaheuristicsijcsit
The application of multi objective model predictive control approaches is significantly limited with
computation time associated with optimization algorithms. Metaheuristics are general purpose heuristics
that have been successfully used in solving difficult optimization problems in a reasonable computation
time. In this work , we use and compare two multi objective metaheuristics, Multi-Objective Particle
swarm Optimization, MOPSO, and Multi-Objective Gravitational Search Algorithm, MOGSA, to generate
a set of approximately Pareto-optimal solutions in a single run. Two examples are studied, a nonlinear
system consisting of two mobile robots tracking trajectories and avoiding obstacles and a linear multi
variable system. The computation times and the quality of the solution in terms of the smoothness of the
control signals and precision of tracking show that MOPSO can be an alternative for real time
applications.
Q UANTUM C LUSTERING -B ASED F EATURE SUBSET S ELECTION FOR MAMMOGRAPHIC I...ijcsit
In this paper, we present an algorithm for feature selection. This algorithm labeled QC-FS: Quantum
Clustering for Feature Selection performs the selection in two steps. Partitioning the original features
space in order to group similar features is performed using the Quantum Clustering algorithm. Then the
selection of a representative for each cluster is carried out. It uses similarity measures such as correlation
coefficient (CC) and the mutual information (MI). The feature which maximizes this information is chosen
by the algorithm
Numerical simulation of electromagnetic radiation using high-order discontinu...IJECEIAES
In this paper, we propose the simulation of 2-dimensional electromagnetic wave radiation using high-order discontinuous Galerkin time domain method to solve Maxwell's equations. The domains are discretized into unstructured straight-sided triangle elements that allow enhanced flexibility when dealing with complex geometries. The electric and magnetic fields are expanded into a high-order polynomial spectral approximation over each triangle element. The field conservation between the elements is enforced using central difference flux calculation at element interfaces. Perfectly matched layer (PML) boundary condition is used to absorb the waves that leave the domain. The comparison of numerical calculations is performed by the graphical displays and numerical data of radiation phenomenon and presented particularly with the results of the FDTD method. Finally, our simulations show that the proposed method can handle simulation of electromagnetic radiation with complex geometries easily.
Financial Time Series Analysis Based On Normalized Mutual Information FunctionsIJCI JOURNAL
A method of predictability analysis of future values of financial time series is described. The method is based on normalized mutual information functions. In the analysis, the use of these functions allowed to refuse any restrictions on the distributions of the parameters and on the correlations between parameters. A comparative analysis of the predictability of financial time series of Tel Aviv 25 stock exchange has been carried out.
Multi-Dimensional Features Reduction of Consistency Subset Evaluator on Unsup...CSCJournals
This paper presents the application of multi dimensional feature reduction of Consistency Subset Evaluator (CSE) and Principal Component Analysis (PCA) and Unsupervised Expectation Maximization (UEM) classifier for imaging surveillance system. Recently, research in image processing has raised much interest in the security surveillance systems community. Weapon detection is one of the greatest challenges facing by the community recently. In order to overcome this issue, application of the UEM classifier is performed to focus on the need of detecting dangerous weapons. However, CSE and PCA are used to explore the usefulness of each feature and reduce the multi dimensional features to simplified features with no underlying hidden structure. In this paper, we take advantage of the simplified features and classifier to categorize images object with the hope to detect dangerous weapons effectively. In order to validate the effectiveness of the UEM classifier, several classifiers are used to compare the overall accuracy of the system with the compliment from the features reduction of CSE and PCA. These unsupervised classifiers include Farthest First, Densitybased Clustering and k-Means methods. The final outcome of this research clearly indicates that UEM has the ability in improving the classification accuracy using the extracted features from the multi-dimensional feature reduction of CSE. Besides, it is also shown that PCA is able to speed-up the computational time with the reduced dimensionality of the features compromising the slight decrease of accuracy.
Investigation on EM radiations from interconnects in integrated circuitsTELKOMNIKA JOURNAL
This document presents an investigation into electromagnetic radiations from interconnects in integrated circuits. It begins with an introduction describing how interconnect behavior becomes more complex as operating frequencies increase. A mathematical model is then developed using Maxwell's equations to model electromagnetic interactions on transmission line structures. Parameters like line spacing, number of tracks, and frequency are modeled. Results from simulations of parallel and stacked transmission lines are discussed. The modeling aims to better understand electromagnetic compatibility issues and minimize disturbances in integrated circuit design.
EFFECTIVE PEEC MODELING OF TRANSMISSION LINES STRUCTURES USING A SELECTIVE ME...EEIJ journal
The transmission lines structures are quite common in the system of electromagnetic compatibility (EMC)
analysis. The increasing complexities of physical structures make electromagnetic modeling an
increasingly tough task, and computational efficiency is desirable. In this paper, a novel selective mesh
approach is presented for partial element equivalent circuit (PEEC) modeling where intense coupling parts
are meshed while the remaining parts are eliminated. With the proposed approach, the meshed ground
plane is dependent on the length and height of the above transmission lines. Relevant compact formulae for
determining mesh boundaries are deduced, and a procedure of general mesh generation is also given. A
numerical example is presented, and a validation check is accomplished, showing that the approach leads
to a significant reduction in unknowns and thus computation time and consumed memories, while
preserving the sufficient precision. This approach is especially useful for modeling the electromagnetic
coupling of transmission lines and reference ground, and it may also be beneficial for other equivalent
circuit modeling techniques.
This document summarizes a theory for analyzing microstrip transmission lines on artificial periodic substrates. It proposes a double vector integral equation method involving two stages: 1) solving for the Green's function of the periodic structure, and 2) using this Green's function in a second integral equation to determine the fields and parameters of the microstrip line. Key aspects of the microstrip that can be determined include the propagation constant, characteristic impedance, and propagation bandgaps due to the periodic elements. The theory is validated through numerical comparisons to effective medium approximations and experimental data on a three-layer periodic substrate structure.
Design of a Selective Filter based on 2D Photonic Crystals Materials IJECEIAES
Two dimensional finite differences temporal domain (2D-FDTD) numerical simulations are performed in cartesian coordinate system to determine the dispersion diagrams of transverse electric (TE) of a two-dimension photonic crystal (PC) with triangular lattice. The aim of this work is to design a filter with maximum spectral response close to the frequency 1.55 μm. To achieve this frequency, selective filters PC are formed by combination of three waveguides W 1 K A wherein the air holes have of different normalized radii respectively r 1 /a=0.44, r 2 /a=0.288 and r /a= 0.3292 (a: is the periodicity of the lattice with value 0.48 μm). Best response is obtained when we insert three small cylindrical cavities (with normalized radius of 0.17) between the two half-planes of photonic crystal strong lateral confinement.
The Effect of 2-D Resistivity on Magnetic Field IRJET Journal
The document discusses a study that investigated the effect of 2-D resistivity on magnetic field values. 2-D resistivity and magnetic surveys were conducted along four 40m lines at a field site. Magnetic readings were first taken without resistivity, then taken simultaneously with resistivity. Results showed magnetic field values decreased when measured with resistivity due to electrical currents generated. However, resistivity data was not affected by magnetic surveys. The study concluded the two methods should be conducted separately for accurate data.
Hybrid Algorithm for Dose Calculation in Cms Xio Treatment Planning SystemIOSR Journals
This study aimed at designing an improved hybrid algorithm by explicitly solving the linearized Boltzmann transport equation (LBTE) which is the governing equation that describes the macroscopic behaviour of radiation particles (neutrons, photons, electrons, etc). The algorithm accuracy will be evaluated using a newly designed in-house verification phantom and its results will be compared to those of the other XiO photon algorithms. The LBTE was solved numerically to compute photon transport in a medium. A programming code (algorithm) for the LBTE solution was developed and applied in the treatment planning system (TPS). The accuracy of the algorithm was evaluated by creating several plans for both the designed phantom and solid water phantom using the designed algorithm and other Xio photon algorithms. The plans were sent to a pre-calibrated Eleckta linear accelerator for measurement of absorbed dose.The results for all treatment plans using the hybrid algorithm compared to the 3 Xio photon algorithms were within 4 % limit. Calculation time for the hybrid algorithm was less in plans with larger number of beams compared to the other algorithms; however, it is higher for single beam plans. The hybrid algorithm provides comparable accuracy in treatment planning conditions to the other algorithms. This algorithm can therefore be employed in the calculation of dose in advance techniques such as IMRT and Rapid Arc by a radiotherapy centres with cmsxio treatment planning system as it is easy to implement.
POSTERIOR RESOLUTION AND STRUCTURAL MODIFICATION FOR PARAMETER DETERMINATION ...IJCI JOURNAL
When only a few lower modes data are available to evaluate a large number of unknown parameters, it is
difficult to acquire information about all unknown parameters. The challenge in this kind of updation
problem is first to get confidence about the parameters that are evaluated correctly using the available
data and second to get information about the remaining parameters. In this work, the first issue is resolved
employing the sensitivity of the modal data used for updation. Once it is fixed that which parameters are
evaluated satisfactorily using the available modal data the remaining parameters are evaluated employing
modal data of a virtual structure. This virtual structure is created by adding or removing some known
stiffness to or from some of the stories of the original structure. A 12-story shear building is considered for
the numerical illustration of the approach. Results of the study show that the present approach is an
effective tool in system identification problem when only a few data is available for updation.
On the Size-dependent Nonlinear Behavior of a Capacitive Rectangular Micro-pl...Kaveh Rashvand
This research deals with the effect of the intrinsic material length-scale parameter on the stability of a fully clamped rectangular micro-plate, which can be used as a RF MEMS resonator. A modified couple stress theory is utilized to model the micro-plate, considering the variable material length-scale parameter. The nonlinear governing equation of motion for static analysis is solved using the step-by-step linearization method (SSLM) and the static pull-in parameters, limiting the stable regions of capacitive resonators, are determined and compared to those obtained by the classical theory. The numerical results reveal that the intrinsic size dependence of materials leads to an increase in the pull-in voltage and natural frequency depending on the thickness of the micro-plate. Comparing these results to the experimental outcomes shows that utilizing the fixed material length-scale leads to unrealistic results in some manner.
ESTIMATION OF THE PARAMETERS OF SOLAR CELLS FROM CURRENT-VOLTAGE CHARACTERIST...ijscai
1. The document presents a method for calculating key solar cell parameters (light generated current, series resistance, shunt resistance, reverse saturation currents) from current-voltage characteristics using a genetic algorithm.
2. The genetic algorithm was able to accurately estimate parameters when applied to simulated solar cell data and experimental data from different space-quality solar cells.
3. Estimated parameters matched well before and after radiation exposure and between illuminated and dark cell measurements, demonstrating the method's effectiveness.
This document presents a finite element analysis of a stepped bar subjected to axial loading using MATLAB and ANSYS. It begins with an introduction to finite element analysis and describes how MATLAB and ANSYS can be used to model and analyze engineering problems. The document then outlines the specific procedure used to analyze a stepped bar, including defining the problem, developing the analytical solution, and determining displacements and stresses at nodes. The results obtained from MATLAB and finite element analysis are shown to be similar, while ANSYS results are also close. The document concludes the analysis methods allow solving problems efficiently and with less error compared to manual calculations.
Character recognition is a new research field in the domain of pattern recognition which deals with the
style of writing. Some of the challengeable problems in character identification are changing in the style of
writing, font and turns of words and etc. In this paper, the goal is Persian character identification using
independent orthogonal moment as the feature extraction technique.The proposed feature extraction
method is the combination of Pseudo-Zernike Moment and Fourier-Mellin Moment called Pseudo-Zernike-
Mellin Moment to extract feature vector from Persian characters. The proposed character identification
system is evaluated on the HODA dataset and obtained 97.76% acceptance rate.
Improved probabilistic distance based locality preserving projections method ...IJECEIAES
In this paper, a dimensionality reduction is achieved in large datasets using the proposed distance based Non-integer Matrix Factorization (NMF) technique, which is intended to solve the data dimensionality problem. Here, NMF and distance measurement aim to resolve the non-orthogonality problem due to increased dataset dimensionality. It initially partitions the datasets, organizes them into a defined geometric structure and it avoids capturing the dataset structure through a distance based similarity measurement. The proposed method is designed to fit the dynamic datasets and it includes the intrinsic structure using data geometry. Therefore, the complexity of data is further avoided using an Improved Distance based Locality Preserving Projection. The proposed method is evaluated against existing methods in terms of accuracy, average accuracy, mutual information and average mutual information.
Implementation of Radon Transformation for Electrical Impedance Tomography (E...ijistjournal
Radon Transformation is generally used to construct optical image (like CT image) from the projection data in biomedical imaging. In this paper, the concept of Radon Transformation is implemented to reconstruct Electrical Impedance Topographic Image (conductivity or resistivity distribution) of a circular subject. A parallel resistance model of a subject is proposed for Electrical Impedance Topography(EIT) or Magnetic Induction Tomography(MIT). A circular subject with embedded circular objects is segmented into equal width slices from different angles. For each angle, Conductance and Conductivity of each slice is calculated and stored in an array. A back projection method is used to generate a two-dimensional image from one-dimensional projections. As a back projection method, Inverse Radon Transformation is applied on the calculated conductance and conductivity to reconstruct two dimensional images. These images are compared to the target image. In the time of image reconstruction, different filters are used and these images are compared with each other and target image.
Dynamic Structural Optimization with Frequency ConstraintsIJMER
This document summarizes a research paper on dynamic structural optimization with frequency constraints. It discusses using finite element modeling and an evolution optimization technique to optimize a structure's natural frequencies. The technique calculates sensitivity parameters to determine how removing individual elements affects natural frequencies. It can increase or decrease frequencies, or change the gap between frequencies. Examples optimize a cantilever plate model to increase the first frequency, decrease the first frequency, and increase the gap between the first two frequencies. The technique provides an easy way to control dynamic characteristics and obtain new optimized topology designs using common finite element software.
Homogeneous dynamic characteristics of damped 2 d elastic latticesUniversity of Glasgow
Lattice materials are characterised by their equivalent elastic moduli for analysing mechanical properties of the microstructures. The values of the elastic moduli under static forcing condition are primarily dependent on the geometric properties of the constituent unit cell and the mechanical properties of the intrinsic material. Under a static forcing condition, the equivalent elastic moduli (such as Young's modulus) are always positive. Poisson’s ratio can be positive or negative, depending only on the geometry of the lattice (e.g., re-entrant lattices have negative Poisson’s ratio). When dynamic forcing is considered, the equivalent elastic moduli become functions of the applied frequency and can become negative at certain frequency values. This paper, for the first time, explicitly demonstrates the occurrence of negative equivalent Young's modulus in lattice materials. In addition, we show the reversal of Poisson’s ratio. Above certain frequency values, a regular lattice can have negative Poisson’s ratio, while a re-entrant lattice can have a positive Poisson’s ratio. Using a titanium-alloy hexagonal lattice metastructure, it is shown that the real part of experimentally measured in-plane Young's modulus becomes negative under a dynamic environment as well as the reversal of the real part of the Poisson’s ratio. In fact, we show that the onset of negative Young's modulus and Poisson’s ratio reversal in lattice materials can be precisely determined by capturing the sub-wavelength scale dynamics of the system. Experimental confirmation of the negative Young's moduli and Poisson’s ratio reversal together with the onset of the same as a function of frequency provide the necessary physical insights and confidence for its potential exploitation in various multi-functional structural systems and devices across different length scales.
Unsupervised Clustering Classify theCancer Data withtheHelp of FCM AlgorithmIOSR Journals
This document discusses using fuzzy C-means (FCM) clustering to classify cancer data. It begins with an introduction to cluster analysis and cluster validity. It then provides details on FCM clustering, including the FCM algorithm and an example of classifying 4 cancer patient data points into 2 clusters based on medicine efficiency and penetration speed. The summary finds that initially 1 patient is classified into the improving cluster and 3 into the collapsing cluster, but after FCM classification 3 patients are classified as improving and 1 as collapsing.
The document describes a new algorithm for long-term robust visual tracking of moving objects in video sequences. The algorithm aims to overcome challenges such as geometric deformations, partial or total occlusions, and recovery after the target leaves the field of vision. It does not rely on a probabilistic process or require prior detection data. Experimental results on difficult video sequences demonstrate advantages over recent trackers. The algorithm can be used in applications like video surveillance, active vision, and industrial visual servoing.
Multi objective predictive control a solution using metaheuristicsijcsit
The application of multi objective model predictive control approaches is significantly limited with
computation time associated with optimization algorithms. Metaheuristics are general purpose heuristics
that have been successfully used in solving difficult optimization problems in a reasonable computation
time. In this work , we use and compare two multi objective metaheuristics, Multi-Objective Particle
swarm Optimization, MOPSO, and Multi-Objective Gravitational Search Algorithm, MOGSA, to generate
a set of approximately Pareto-optimal solutions in a single run. Two examples are studied, a nonlinear
system consisting of two mobile robots tracking trajectories and avoiding obstacles and a linear multi
variable system. The computation times and the quality of the solution in terms of the smoothness of the
control signals and precision of tracking show that MOPSO can be an alternative for real time
applications.
Q UANTUM C LUSTERING -B ASED F EATURE SUBSET S ELECTION FOR MAMMOGRAPHIC I...ijcsit
In this paper, we present an algorithm for feature selection. This algorithm labeled QC-FS: Quantum
Clustering for Feature Selection performs the selection in two steps. Partitioning the original features
space in order to group similar features is performed using the Quantum Clustering algorithm. Then the
selection of a representative for each cluster is carried out. It uses similarity measures such as correlation
coefficient (CC) and the mutual information (MI). The feature which maximizes this information is chosen
by the algorithm
Numerical simulation of electromagnetic radiation using high-order discontinu...IJECEIAES
In this paper, we propose the simulation of 2-dimensional electromagnetic wave radiation using high-order discontinuous Galerkin time domain method to solve Maxwell's equations. The domains are discretized into unstructured straight-sided triangle elements that allow enhanced flexibility when dealing with complex geometries. The electric and magnetic fields are expanded into a high-order polynomial spectral approximation over each triangle element. The field conservation between the elements is enforced using central difference flux calculation at element interfaces. Perfectly matched layer (PML) boundary condition is used to absorb the waves that leave the domain. The comparison of numerical calculations is performed by the graphical displays and numerical data of radiation phenomenon and presented particularly with the results of the FDTD method. Finally, our simulations show that the proposed method can handle simulation of electromagnetic radiation with complex geometries easily.
Financial Time Series Analysis Based On Normalized Mutual Information FunctionsIJCI JOURNAL
A method of predictability analysis of future values of financial time series is described. The method is based on normalized mutual information functions. In the analysis, the use of these functions allowed to refuse any restrictions on the distributions of the parameters and on the correlations between parameters. A comparative analysis of the predictability of financial time series of Tel Aviv 25 stock exchange has been carried out.
Multi-Dimensional Features Reduction of Consistency Subset Evaluator on Unsup...CSCJournals
This paper presents the application of multi dimensional feature reduction of Consistency Subset Evaluator (CSE) and Principal Component Analysis (PCA) and Unsupervised Expectation Maximization (UEM) classifier for imaging surveillance system. Recently, research in image processing has raised much interest in the security surveillance systems community. Weapon detection is one of the greatest challenges facing by the community recently. In order to overcome this issue, application of the UEM classifier is performed to focus on the need of detecting dangerous weapons. However, CSE and PCA are used to explore the usefulness of each feature and reduce the multi dimensional features to simplified features with no underlying hidden structure. In this paper, we take advantage of the simplified features and classifier to categorize images object with the hope to detect dangerous weapons effectively. In order to validate the effectiveness of the UEM classifier, several classifiers are used to compare the overall accuracy of the system with the compliment from the features reduction of CSE and PCA. These unsupervised classifiers include Farthest First, Densitybased Clustering and k-Means methods. The final outcome of this research clearly indicates that UEM has the ability in improving the classification accuracy using the extracted features from the multi-dimensional feature reduction of CSE. Besides, it is also shown that PCA is able to speed-up the computational time with the reduced dimensionality of the features compromising the slight decrease of accuracy.
Investigation on EM radiations from interconnects in integrated circuitsTELKOMNIKA JOURNAL
This document presents an investigation into electromagnetic radiations from interconnects in integrated circuits. It begins with an introduction describing how interconnect behavior becomes more complex as operating frequencies increase. A mathematical model is then developed using Maxwell's equations to model electromagnetic interactions on transmission line structures. Parameters like line spacing, number of tracks, and frequency are modeled. Results from simulations of parallel and stacked transmission lines are discussed. The modeling aims to better understand electromagnetic compatibility issues and minimize disturbances in integrated circuit design.
EFFECTIVE PEEC MODELING OF TRANSMISSION LINES STRUCTURES USING A SELECTIVE ME...EEIJ journal
The transmission lines structures are quite common in the system of electromagnetic compatibility (EMC)
analysis. The increasing complexities of physical structures make electromagnetic modeling an
increasingly tough task, and computational efficiency is desirable. In this paper, a novel selective mesh
approach is presented for partial element equivalent circuit (PEEC) modeling where intense coupling parts
are meshed while the remaining parts are eliminated. With the proposed approach, the meshed ground
plane is dependent on the length and height of the above transmission lines. Relevant compact formulae for
determining mesh boundaries are deduced, and a procedure of general mesh generation is also given. A
numerical example is presented, and a validation check is accomplished, showing that the approach leads
to a significant reduction in unknowns and thus computation time and consumed memories, while
preserving the sufficient precision. This approach is especially useful for modeling the electromagnetic
coupling of transmission lines and reference ground, and it may also be beneficial for other equivalent
circuit modeling techniques.
This document summarizes a theory for analyzing microstrip transmission lines on artificial periodic substrates. It proposes a double vector integral equation method involving two stages: 1) solving for the Green's function of the periodic structure, and 2) using this Green's function in a second integral equation to determine the fields and parameters of the microstrip line. Key aspects of the microstrip that can be determined include the propagation constant, characteristic impedance, and propagation bandgaps due to the periodic elements. The theory is validated through numerical comparisons to effective medium approximations and experimental data on a three-layer periodic substrate structure.
Design of a Selective Filter based on 2D Photonic Crystals Materials IJECEIAES
Two dimensional finite differences temporal domain (2D-FDTD) numerical simulations are performed in cartesian coordinate system to determine the dispersion diagrams of transverse electric (TE) of a two-dimension photonic crystal (PC) with triangular lattice. The aim of this work is to design a filter with maximum spectral response close to the frequency 1.55 μm. To achieve this frequency, selective filters PC are formed by combination of three waveguides W 1 K A wherein the air holes have of different normalized radii respectively r 1 /a=0.44, r 2 /a=0.288 and r /a= 0.3292 (a: is the periodicity of the lattice with value 0.48 μm). Best response is obtained when we insert three small cylindrical cavities (with normalized radius of 0.17) between the two half-planes of photonic crystal strong lateral confinement.
QRing is a parallel software tool for simulating quantum transport in carbon nanodevices. It uses linear solvers on GPU and CPU architectures within a non-equilibrium Green's function formalism. A multi-scale continuum approach is used to model phonons in carbon nanostructures. QRing divides computations across multiple cores to efficiently invert the Hamiltonian matrix and calculate integrated observables like current. It has been tested on large HPC systems and shows excellent scaling for systems up to 30,000 atoms.
General Theory of electronic configuration of atomsIOSR Journals
The “General Theory of electronic configuration of atoms” is an original study introduced by the author in chemistry in 2004. In this paper, the author developed a new method to write the electronic configuration for any atom, regardless of whether it actually exists or not in nature. This new method is based on Quantum theory and on three new and original formulae introduced and developed by the author. This method can be used to gather information about any atom’s properties: its period, its group, its peripheral number of electrons and its theoretical electronic peripheral configuration. The main advantage of this method is that one can immediately knows the information about an atom, by a simple hand calculation without the need of software. Even if the atomic number is huge (as Z=123453). This method can be used in general chemistry courses and it is an extremely efficient method used for teaching and in the exam.
So any atomic number can be developed and we can find its electronic configuration regardless of whether it actually exists or not in nature.
-The traditional method of writing an electronic configuration is like this
⏞ ⏞ ⏞ ⏞ ⏞ ⏞ Until finding the peripheral electronic configuration.
So the new method developed in this paper is mainly works on the peripheral electronic configuration without passing through the traditional method. It gives us directly the peripheral electronic configuration, for example ⏞ .
In this way we have eliminated a very long process of calculation. This is a big advantage for the proposed method ahead the traditional one.
The main goal of introducing this paper is to reduce the calculation of obtaining the main information about an atom for example its period, group, number of electrons in the peripheral configuration and finding its peripheral electronic configuration as fast as possible even if the atom doesn’t exist in reality. This paper doesn’t explain the relativistic effects, because it is not the main goal of the proposed theory. We can still obtain the information about any atom without considering the relativistic effects.
Theoretical and experimental analysis of electromagnetic coupling into microw...IJECEIAES
In this paper, our work is devoted to a time domain analysis of field-to-line coupling model. The latter is designed with a uniform microstrip multiconductor transmission line (MTL), connected with a mixed load which can be linear as a resistance, nonlinear like a diode or complex nonlinear as a Metal Semiconductor Field-Effect Transistor (MESFET). The finite difference time-domain technique (FDTD) is used to compute the expression of voltage and current at the line. The primary advantage of this method over many existing methods is that nonlinear terminations may be readily incorporated into the algorithm and the analysis. The numerical predictions using the proposed method show a good agreement with the GHz Transverse Electro Magnetic (GTEM) measurement.
Analytical model for the effect of pressure on the electronic structure of ge...Alexander Decker
This document analyzes the effect of pressure on the electronic structure of germanium nanocrystals using ab initio restricted Hartree-Fock theory. It finds that:
1) The valence bandwidth decreases with increasing pressure for all crystal sizes (8, 16, and 54 atoms) as atoms become more spaced out, reducing energy level splitting.
2) Band gap decreases with pressure for the 8- and 16-atom crystals but increases for the 54-atom crystal, representing a transition from semiconductor to insulator.
3) Cohesive energy decreases with tensile pressure for the 8-atom crystal but increases for the 16- and 54-atom crystals, possibly related to crystal shape changes from cubic
Estimation Of The Parameters Of Solar Cells From Current-Voltage Characterist...IJSCAI Journal
This paper presents a method for calculating the light generated current, the series resistance, shun
resistance and the two components of the reverse saturation current usually encountered in the double
diode representation of
the solar cell from the experimental values of the current
-
voltage characteristics
of the cell using genetic algorithm. The theory is able to regenerate the above mentioned parameters to
very good accuracy when applied to cell data that was generated from
pre
-
defined parameters. The
method is applied to various types of space quality solar cells and sub cells. All parameters except the
light generated current are seen to be nearly the same in the case of a cell whose characteristics under
illumination and i
n dark were analyzed. The light generated current is nearly equal to the short
-
circuit
current in all cases. The parameters obtained by this method and another method are nearly equal
wherever applicable. The parameters are also shown to represent the cur
rent
-
voltage characteristics
well
ESTIMATION OF THE PARAMETERS OF SOLAR CELLS FROM CURRENT-VOLTAGE CHARACTERIST...ijscai
This paper presents a method for calculating the light generated current, the series resistance, shun
resistance and the two components of the reverse saturation current usually encountered in the double
diode representation of the solar cell from the experimental values of the current-voltage characteristics
of the cell using genetic algorithm. The theory is able to regenerate the above mentioned parameters to
very good accuracy when applied to cell data that was generated from pre-defined parameters. The
method is applied to various types of space quality solar cells and sub cells. All parameters except the
light generated current are seen to be nearly the same in the case of a cell whose characteristics under
illumination and in dark were analyzed. The light generated current is nearly equal to the short- circuit
current in all cases. The parameters obtained by this method and another method are nearly equal
wherever applicable. The parameters are also shown to represent the current-voltage characteristics
well.
INVERSIONOF MAGNETIC ANOMALIES DUE TO 2-D CYLINDRICAL STRUCTURES –BY AN ARTIF...ijsc
Application of Artificial Neural Network Committee Machine (ANNCM) for the inversion of magnetic
anomalies caused by a long-2D horizontal circular cylinder is presented. Although, the subsurface targets
are of arbitrary shape, they are assumed to be regular geometrical shape for convenience of mathematical
analysis. ANNCM inversion extract the parameters of the causative subsurface targets include depth to the
centre of the cylinder (Z), the inclination of magnetic vector(Ɵ)and the constant term (A)comprising the
radius(R)and the intensity of the magnetic field(I). The method of inversion is demonstrated over a
theoretical model with and without random noise in order to study the effect of noise on the technique and
then extended to real field data. It is noted that the method under discussion ensures fairly accurate results
even in the presence of noise. ANNCM analysis of vertical magnetic anomaly near Karimnagar, Telangana,
India, has shown satisfactory results in comparison with other inversion techniques that are in vogue.The
statistics of the predicted parameters relative to the measured data, show lower sum error (<9.58%) and
higher correlation coefficient (R>91%) indicating that good matching and correlation is achieved between
the measured and predicted parameters.
INVERSIONOF MAGNETIC ANOMALIES DUE TO 2-D CYLINDRICAL STRUCTURES –BY AN ARTIF...ijsc
Application of Artificial Neural Network Committee Machine (ANNCM) for the inversion of magnetic
anomalies caused by a long-2D horizontal circular cylinder is presented. Although, the subsurface targets
are of arbitrary shape, they are assumed to be regular geometrical shape for convenience of mathematical
analysis. ANNCM inversion extract the parameters of the causative subsurface targets include depth to the
centre of the cylinder (Z), the inclination of magnetic vector(Ɵ)and the constant term (A)comprising the
radius(R)and the intensity of the magnetic field(I). The method of inversion is demonstrated over a
theoretical model with and without random noise in order to study the effect of noise on the technique and
then extended to real field data. It is noted that the method under discussion ensures fairly accurate results
even in the presence of noise. ANNCM analysis of vertical magnetic anomaly near Karimnagar, Telangana,
India, has shown satisfactory results in comparison with other inversion techniques that are in vogue.The
statistics of the predicted parameters relative to the measured data, show lower sum error (<9.58%) and
higher correlation coefficient (R>91%) indicating that good matching and correlation is achieved between
the measured and predicted parameters.
Inversion of Magnetic Anomalies Due to 2-D Cylindrical Structures – By an Art...ijsc
Application of Artificial Neural Network Committee Machine (ANNCM) for the inversion of magnetic anomalies caused by a long-2D horizontal circular cylinder is presented. Although, the subsurface targets are of arbitrary shape, they are assumed to be regular geometrical shape for convenience of mathematical analysis. ANNCM inversion extract the parameters of the causative subsurface targets include depth to the centre of the cylinder (Z), the inclination of magnetic vector(Ɵ)and the constant term (A)comprising the radius(R)and the intensity of the magnetic field(I). The method of inversion is demonstrated over a theoretical model with and without random noise in order to study the effect of noise on the technique and then extended to real field data. It is noted that the method under discussion ensures fairly accurate results even in the presence of noise. ANNCM analysis of vertical magnetic anomaly near Karimnagar, Telangana, India, has shown satisfactory results in comparison with other inversion techniques that are in vogue.The statistics of the predicted parameters relative to the measured data, show lower sum error (<9.58%) and higher correlation coefficient (R>91%) indicating that good matching and correlation is achieved between the measured and predicted parameters.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
MODELING AND OPTIMIZATION OF PIEZOELECTRIC ENERGY HARVESTING adeij1
In this paper, the modeling, optimization and simulation results of the piezoelectric energy harvesting using bond graph approach are presented. Firstly, a lightweight equivalent model derived from the bond graph is proposed. It’s a comprehensive model, which is suitable for piezoelectric seismic energy harvester investigation and power optimization. The optimal charge impedance for both the resistive load and complex load are given and analysed. Finally a bond graph approach is proposed to allow optimization of the extracted energy while keeping simplicity and standalone capability. The proposed model does not rely on any inductor and is constructed with a simple switch. The power harvested is more than twice the conventional technique one on a wide band of resistive load. The bond graph model is valid close to the analysed mode centre frequency and delivers results compared to experimental and analytical data. Furthermore, we also show that the harvester can be electrically tuned to match the excitation frequency. This makes it possible to maximize the power output for both linear and non-linear loads.
Simulink and Simelectronics based Position Control of a Coupled Mass-Spring D...IJECEIAES
This paper presents the use of Simelectronics Program for modeling and control of a two degrees-of freedom coupled mass-spring-damper mechanical system.The aims of this paper are to establish a mathematical model that represents the dynamic behaviour of a coupled mass-spring damper system and effectively control the mass position using both Simulink and Simelectronics.The mathematical model is derived based on the augmented Lagrange equation and to simulate the dynamic accurately a PD controller is implemented to compensate for the oscillation sustained by the system as a result of the complex conjugate pair poles near to the imaginary axis.The input force has been subjected to an obstacle to mimic actual challenges and to validate the mathematical model a Simulink and Simelectronics models were developed, consequently, the results of the models were compared. According to the result analysis, the controller tracked the position errors and stabilized the positions to zero within a settling time of 6.5sec and significantly reduced the overshoot by 99.5% and 99. 7% in Simulink and Simelectronics respectively. Furthermore, it is found that Simelectronics model proved to be capable having advantages of simplicity, less timeintense and requires no mathematical model over the Simulink approach.
This document provides an overview of molecular electronics. It discusses the physics of molecular devices, including energy levels in molecules and different transport regimes. It also covers theoretical approaches like Landauer's method and non-equilibrium Green's functions to model electronic transport through molecules. Finally, it outlines different types of molecular devices that can be fabricated, such as molecular rectifiers, switches, and transistors, and how molecular electronics could be used to build circuits.
PHYSICAL MODELING AND SIMULATION OF THERMAL HEATING IN VERTICAL INTEGRATED ...ijcses
Interconnect is one of the main performance determinant of modern integrated circuits (ICs). The new
technology of vertical ICs places circuit blocks in the vertical dimension in addition to the conventional
horizontal plane. Compared to the planar ICs, vertical ICs have shorter latencies as well as lower power
consumption due to shorter wires. This also increases speed, improves performances and adds to ICs
density. The benefits of vertical ICs increase as we stack more dies, due to successive reductions in wire
lengths. However, as we stack more dies, the lattice self-heating becomes a challenging and critical issue
due to the difficulty in cooling down the layers away from the heat sink. In this paper, we provide a
quantitative electro-thermal analysis of the temperature rise due to stacking. Mathematical models based
on steady state non-isothermal drift-diffusion transport equations coupled to heat flow equation are used.
These physically based models and the different heat sources in semiconductor devices will be presented
and discussed. Three dimensional numerical results did show that, compared to the planar ICs, the
vertical ICs with 2-die technology increase the maximum temperature by 17 Kelvin in the die away from
the heat sink. These numerical results will also be presented and analyzed for a typical 2-die structure of
complementary metal oxide semiconductor (CMOS) transistors.
Computational Chemistry aspects of Molecular Mechanics and Dynamics have been discussed in this presentation. Useful for the Undergraduate and Postgraduate students of Pharmacy, Drug Design and Computational Chemistry
Similar to Mathematical Modelling and Computer Simulation Assist in Designing Non-traditional Types of Precipitators and Separators (20)
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Neural network optimizer of proportional-integral-differential controller par...IJECEIAES
Wide application of proportional-integral-differential (PID)-regulator in industry requires constant improvement of methods of its parameters adjustment. The paper deals with the issues of optimization of PID-regulator parameters with the use of neural network technology methods. A methodology for choosing the architecture (structure) of neural network optimizer is proposed, which consists in determining the number of layers, the number of neurons in each layer, as well as the form and type of activation function. Algorithms of neural network training based on the application of the method of minimizing the mismatch between the regulated value and the target value are developed. The method of back propagation of gradients is proposed to select the optimal training rate of neurons of the neural network. The neural network optimizer, which is a superstructure of the linear PID controller, allows increasing the regulation accuracy from 0.23 to 0.09, thus reducing the power consumption from 65% to 53%. The results of the conducted experiments allow us to conclude that the created neural superstructure may well become a prototype of an automatic voltage regulator (AVR)-type industrial controller for tuning the parameters of the PID controller.
An improved modulation technique suitable for a three level flying capacitor ...IJECEIAES
This research paper introduces an innovative modulation technique for controlling a 3-level flying capacitor multilevel inverter (FCMLI), aiming to streamline the modulation process in contrast to conventional methods. The proposed
simplified modulation technique paves the way for more straightforward and
efficient control of multilevel inverters, enabling their widespread adoption and
integration into modern power electronic systems. Through the amalgamation of
sinusoidal pulse width modulation (SPWM) with a high-frequency square wave
pulse, this controlling technique attains energy equilibrium across the coupling
capacitor. The modulation scheme incorporates a simplified switching pattern
and a decreased count of voltage references, thereby simplifying the control
algorithm.
A review on features and methods of potential fishing zoneIJECEIAES
This review focuses on the importance of identifying potential fishing zones in seawater for sustainable fishing practices. It explores features like sea surface temperature (SST) and sea surface height (SSH), along with classification methods such as classifiers. The features like SST, SSH, and different classifiers used to classify the data, have been figured out in this review study. This study underscores the importance of examining potential fishing zones using advanced analytical techniques. It thoroughly explores the methodologies employed by researchers, covering both past and current approaches. The examination centers on data characteristics and the application of classification algorithms for classification of potential fishing zones. Furthermore, the prediction of potential fishing zones relies significantly on the effectiveness of classification algorithms. Previous research has assessed the performance of models like support vector machines, naïve Bayes, and artificial neural networks (ANN). In the previous result, the results of support vector machine (SVM) were 97.6% more accurate than naive Bayes's 94.2% to classify test data for fisheries classification. By considering the recent works in this area, several recommendations for future works are presented to further improve the performance of the potential fishing zone models, which is important to the fisheries community.
Electrical signal interference minimization using appropriate core material f...IJECEIAES
As demand for smaller, quicker, and more powerful devices rises, Moore's law is strictly followed. The industry has worked hard to make little devices that boost productivity. The goal is to optimize device density. Scientists are reducing connection delays to improve circuit performance. This helped them understand three-dimensional integrated circuit (3D IC) concepts, which stack active devices and create vertical connections to diminish latency and lower interconnects. Electrical involvement is a big worry with 3D integrates circuits. Researchers have developed and tested through silicon via (TSV) and substrates to decrease electrical wave involvement. This study illustrates a novel noise coupling reduction method using several electrical involvement models. A 22% drop in electrical involvement from wave-carrying to victim TSVs introduces this new paradigm and improves system performance even at higher THz frequencies.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Bibliometric analysis highlighting the role of women in addressing climate ch...IJECEIAES
Fossil fuel consumption increased quickly, contributing to climate change
that is evident in unusual flooding and draughts, and global warming. Over
the past ten years, women's involvement in society has grown dramatically,
and they succeeded in playing a noticeable role in reducing climate change.
A bibliometric analysis of data from the last ten years has been carried out to
examine the role of women in addressing the climate change. The analysis's
findings discussed the relevant to the sustainable development goals (SDGs),
particularly SDG 7 and SDG 13. The results considered contributions made
by women in the various sectors while taking geographic dispersion into
account. The bibliometric analysis delves into topics including women's
leadership in environmental groups, their involvement in policymaking, their
contributions to sustainable development projects, and the influence of
gender diversity on attempts to mitigate climate change. This study's results
highlight how women have influenced policies and actions related to climate
change, point out areas of research deficiency and recommendations on how
to increase role of the women in addressing the climate change and
achieving sustainability. To achieve more successful results, this initiative
aims to highlight the significance of gender equality and encourage
inclusivity in climate change decision-making processes.
Voltage and frequency control of microgrid in presence of micro-turbine inter...IJECEIAES
The active and reactive load changes have a significant impact on voltage
and frequency. In this paper, in order to stabilize the microgrid (MG) against
load variations in islanding mode, the active and reactive power of all
distributed generators (DGs), including energy storage (battery), diesel
generator, and micro-turbine, are controlled. The micro-turbine generator is
connected to MG through a three-phase to three-phase matrix converter, and
the droop control method is applied for controlling the voltage and
frequency of MG. In addition, a method is introduced for voltage and
frequency control of micro-turbines in the transition state from gridconnected mode to islanding mode. A novel switching strategy of the matrix
converter is used for converting the high-frequency output voltage of the
micro-turbine to the grid-side frequency of the utility system. Moreover,
using the switching strategy, the low-order harmonics in the output current
and voltage are not produced, and consequently, the size of the output filter
would be reduced. In fact, the suggested control strategy is load-independent
and has no frequency conversion restrictions. The proposed approach for
voltage and frequency regulation demonstrates exceptional performance and
favorable response across various load alteration scenarios. The suggested
strategy is examined in several scenarios in the MG test systems, and the
simulation results are addressed.
Enhancing battery system identification: nonlinear autoregressive modeling fo...IJECEIAES
Precisely characterizing Li-ion batteries is essential for optimizing their
performance, enhancing safety, and prolonging their lifespan across various
applications, such as electric vehicles and renewable energy systems. This
article introduces an innovative nonlinear methodology for system
identification of a Li-ion battery, employing a nonlinear autoregressive with
exogenous inputs (NARX) model. The proposed approach integrates the
benefits of nonlinear modeling with the adaptability of the NARX structure,
facilitating a more comprehensive representation of the intricate
electrochemical processes within the battery. Experimental data collected
from a Li-ion battery operating under diverse scenarios are employed to
validate the effectiveness of the proposed methodology. The identified
NARX model exhibits superior accuracy in predicting the battery's behavior
compared to traditional linear models. This study underscores the
importance of accounting for nonlinearities in battery modeling, providing
insights into the intricate relationships between state-of-charge, voltage, and
current under dynamic conditions.
Smart grid deployment: from a bibliometric analysis to a surveyIJECEIAES
Smart grids are one of the last decades' innovations in electrical energy.
They bring relevant advantages compared to the traditional grid and
significant interest from the research community. Assessing the field's
evolution is essential to propose guidelines for facing new and future smart
grid challenges. In addition, knowing the main technologies involved in the
deployment of smart grids (SGs) is important to highlight possible
shortcomings that can be mitigated by developing new tools. This paper
contributes to the research trends mentioned above by focusing on two
objectives. First, a bibliometric analysis is presented to give an overview of
the current research level about smart grid deployment. Second, a survey of
the main technological approaches used for smart grid implementation and
their contributions are highlighted. To that effect, we searched the Web of
Science (WoS), and the Scopus databases. We obtained 5,663 documents
from WoS and 7,215 from Scopus on smart grid implementation or
deployment. With the extraction limitation in the Scopus database, 5,872 of
the 7,215 documents were extracted using a multi-step process. These two
datasets have been analyzed using a bibliometric tool called bibliometrix.
The main outputs are presented with some recommendations for future
research.
Use of analytical hierarchy process for selecting and prioritizing islanding ...IJECEIAES
One of the problems that are associated to power systems is islanding
condition, which must be rapidly and properly detected to prevent any
negative consequences on the system's protection, stability, and security.
This paper offers a thorough overview of several islanding detection
strategies, which are divided into two categories: classic approaches,
including local and remote approaches, and modern techniques, including
techniques based on signal processing and computational intelligence.
Additionally, each approach is compared and assessed based on several
factors, including implementation costs, non-detected zones, declining
power quality, and response times using the analytical hierarchy process
(AHP). The multi-criteria decision-making analysis shows that the overall
weight of passive methods (24.7%), active methods (7.8%), hybrid methods
(5.6%), remote methods (14.5%), signal processing-based methods (26.6%),
and computational intelligent-based methods (20.8%) based on the
comparison of all criteria together. Thus, it can be seen from the total weight
that hybrid approaches are the least suitable to be chosen, while signal
processing-based methods are the most appropriate islanding detection
method to be selected and implemented in power system with respect to the
aforementioned factors. Using Expert Choice software, the proposed
hierarchy model is studied and examined.
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...IJECEIAES
The power generated by photovoltaic (PV) systems is influenced by
environmental factors. This variability hampers the control and utilization of
solar cells' peak output. In this study, a single-stage grid-connected PV
system is designed to enhance power quality. Our approach employs fuzzy
logic in the direct power control (DPC) of a three-phase voltage source
inverter (VSI), enabling seamless integration of the PV connected to the
grid. Additionally, a fuzzy logic-based maximum power point tracking
(MPPT) controller is adopted, which outperforms traditional methods like
incremental conductance (INC) in enhancing solar cell efficiency and
minimizing the response time. Moreover, the inverter's real-time active and
reactive power is directly managed to achieve a unity power factor (UPF).
The system's performance is assessed through MATLAB/Simulink
implementation, showing marked improvement over conventional methods,
particularly in steady-state and varying weather conditions. For solar
irradiances of 500 and 1,000 W/m2
, the results show that the proposed
method reduces the total harmonic distortion (THD) of the injected current
to the grid by approximately 46% and 38% compared to conventional
methods, respectively. Furthermore, we compare the simulation results with
IEEE standards to evaluate the system's grid compatibility.
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...IJECEIAES
Photovoltaic systems have emerged as a promising energy resource that
caters to the future needs of society, owing to their renewable, inexhaustible,
and cost-free nature. The power output of these systems relies on solar cell
radiation and temperature. In order to mitigate the dependence on
atmospheric conditions and enhance power tracking, a conventional
approach has been improved by integrating various methods. To optimize
the generation of electricity from solar systems, the maximum power point
tracking (MPPT) technique is employed. To overcome limitations such as
steady-state voltage oscillations and improve transient response, two
traditional MPPT methods, namely fuzzy logic controller (FLC) and perturb
and observe (P&O), have been modified. This research paper aims to
simulate and validate the step size of the proposed modified P&O and FLC
techniques within the MPPT algorithm using MATLAB/Simulink for
efficient power tracking in photovoltaic systems.
Adaptive synchronous sliding control for a robot manipulator based on neural ...IJECEIAES
Robot manipulators have become important equipment in production lines, medical fields, and transportation. Improving the quality of trajectory tracking for
robot hands is always an attractive topic in the research community. This is a
challenging problem because robot manipulators are complex nonlinear systems
and are often subject to fluctuations in loads and external disturbances. This
article proposes an adaptive synchronous sliding control scheme to improve trajectory tracking performance for a robot manipulator. The proposed controller
ensures that the positions of the joints track the desired trajectory, synchronize
the errors, and significantly reduces chattering. First, the synchronous tracking
errors and synchronous sliding surfaces are presented. Second, the synchronous
tracking error dynamics are determined. Third, a robust adaptive control law is
designed,the unknown components of the model are estimated online by the neural network, and the parameters of the switching elements are selected by fuzzy
logic. The built algorithm ensures that the tracking and approximation errors
are ultimately uniformly bounded (UUB). Finally, the effectiveness of the constructed algorithm is demonstrated through simulation and experimental results.
Simulation and experimental results show that the proposed controller is effective with small synchronous tracking errors, and the chattering phenomenon is
significantly reduced.
Remote field-programmable gate array laboratory for signal acquisition and de...IJECEIAES
A remote laboratory utilizing field-programmable gate array (FPGA) technologies enhances students’ learning experience anywhere and anytime in embedded system design. Existing remote laboratories prioritize hardware access and visual feedback for observing board behavior after programming, neglecting comprehensive debugging tools to resolve errors that require internal signal acquisition. This paper proposes a novel remote embeddedsystem design approach targeting FPGA technologies that are fully interactive via a web-based platform. Our solution provides FPGA board access and debugging capabilities beyond the visual feedback provided by existing remote laboratories. We implemented a lab module that allows users to seamlessly incorporate into their FPGA design. The module minimizes hardware resource utilization while enabling the acquisition of a large number of data samples from the signal during the experiments by adaptively compressing the signal prior to data transmission. The results demonstrate an average compression ratio of 2.90 across three benchmark signals, indicating efficient signal acquisition and effective debugging and analysis. This method allows users to acquire more data samples than conventional methods. The proposed lab allows students to remotely test and debug their designs, bridging the gap between theory and practice in embedded system design.
Detecting and resolving feature envy through automated machine learning and m...IJECEIAES
Efficiently identifying and resolving code smells enhances software project quality. This paper presents a novel solution, utilizing automated machine learning (AutoML) techniques, to detect code smells and apply move method refactoring. By evaluating code metrics before and after refactoring, we assessed its impact on coupling, complexity, and cohesion. Key contributions of this research include a unique dataset for code smell classification and the development of models using AutoGluon for optimal performance. Furthermore, the study identifies the top 20 influential features in classifying feature envy, a well-known code smell, stemming from excessive reliance on external classes. We also explored how move method refactoring addresses feature envy, revealing reduced coupling and complexity, and improved cohesion, ultimately enhancing code quality. In summary, this research offers an empirical, data-driven approach, integrating AutoML and move method refactoring to optimize software project quality. Insights gained shed light on the benefits of refactoring on code quality and the significance of specific features in detecting feature envy. Future research can expand to explore additional refactoring techniques and a broader range of code metrics, advancing software engineering practices and standards.
Smart monitoring technique for solar cell systems using internet of things ba...IJECEIAES
Rapidly and remotely monitoring and receiving the solar cell systems status parameters, solar irradiance, temperature, and humidity, are critical issues in enhancement their efficiency. Hence, in the present article an improved smart prototype of internet of things (IoT) technique based on embedded system through NodeMCU ESP8266 (ESP-12E) was carried out experimentally. Three different regions at Egypt; Luxor, Cairo, and El-Beheira cities were chosen to study their solar irradiance profile, temperature, and humidity by the proposed IoT system. The monitoring data of solar irradiance, temperature, and humidity were live visualized directly by Ubidots through hypertext transfer protocol (HTTP) protocol. The measured solar power radiation in Luxor, Cairo, and El-Beheira ranged between 216-1000, 245-958, and 187-692 W/m 2 respectively during the solar day. The accuracy and rapidity of obtaining monitoring results using the proposed IoT system made it a strong candidate for application in monitoring solar cell systems. On the other hand, the obtained solar power radiation results of the three considered regions strongly candidate Luxor and Cairo as suitable places to build up a solar cells system station rather than El-Beheira.
An efficient security framework for intrusion detection and prevention in int...IJECEIAES
Over the past few years, the internet of things (IoT) has advanced to connect billions of smart devices to improve quality of life. However, anomalies or malicious intrusions pose several security loopholes, leading to performance degradation and threat to data security in IoT operations. Thereby, IoT security systems must keep an eye on and restrict unwanted events from occurring in the IoT network. Recently, various technical solutions based on machine learning (ML) models have been derived towards identifying and restricting unwanted events in IoT. However, most ML-based approaches are prone to miss-classification due to inappropriate feature selection. Additionally, most ML approaches applied to intrusion detection and prevention consider supervised learning, which requires a large amount of labeled data to be trained. Consequently, such complex datasets are impossible to source in a large network like IoT. To address this problem, this proposed study introduces an efficient learning mechanism to strengthen the IoT security aspects. The proposed algorithm incorporates supervised and unsupervised approaches to improve the learning models for intrusion detection and mitigation. Compared with the related works, the experimental outcome shows that the model performs well in a benchmark dataset. It accomplishes an improved detection accuracy of approximately 99.21%.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
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442
field created by high voltage. The most comprehensive experiments have been conducted by [7-14]. The
research method of mathematical modelling and computer simulation has proven to become a powerful
approach for understanding the complexity of a physical, biological, chemical system [15-18]. It enables to
examine the system based on virtual prototyping.
2. COMPUTER MODEL OF OF ELECTRIC SEPARATOR OF CYLINDRICAL TYPE
2.1. Description of the Physical Model
The charged (e.g. by corona charging) macroscopic particles in the separator inflow jet area are
carried by the flowing gas into the separation space (Figure 1).
The separation space is created by a set of coaxial cylindrical electrodes (a thin bar or a piece of
wire may serve as the internal electrode) among which the direct (hereinafter DC) or the alternating (herein
after AC) electric field is generated depending on the type of electrode charging. The force interaction of the
electric field and the charged particles causes the separation and the sorting of these particles from the air
mass to the external electrode wall. The use of inhomogeneous electric field separators or sorters (as it is in
the studied case) unlike the homogeneous electric field equipment requires to take account of gradient force
and its coeffects (together with some other factors) on the dynamics of a macroscopic particle. The choice of
the coordinate system and the kinematic scheme is shown in Figure 1. According to Figure 1, the system of
forces affects the motion of particles as shown in Figure 2.
Figure 1. Kinematic scheme Figure 2. System of forces
2.2. Abstract Synthesis of the Mathematical model
Newton’s kinematic equation (the mathematical model) for the motion of a macroscopic particle in
the separator space (shown in Figure 1) charged by DC voltage takes the following form:
3r
1
r
2
r
2ln
2U
2
r
1
r3R
0
4
dt
dr
R6
r
1
r
2
r
ln
qU
2dt
r2d
m
(1)
dt
dy
R6mg
dt
y2d
m 2
(2)
If the separator is charged by AC voltage, the equations take the forms:
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443
3
1
22
0
22
m
r
r3
0
1
2
0m
2
2
r
r
r
ln
tsinU
2
1
R4
dt
dr
R6
r
r
r
ln
tsinqU
dt
rd
m
(3)
dt
dy
R6mg
2dt
y2d
m
(4)
Cauchy initial conditions for the solution of the system of differential equations (constructed by us)
for the chosen coordinate system the following form:
r(0) = r0 ; vr(0) = vr0 ; y(0) = y0 ; vy(0) = vy0 (5)
The following relation (6) was taken from [19] where it had the form FgradGVr
3
1
22
2
r
r3
0gradGVr
r)
r
r
(ln
U
)2(
)1(
R4F
(6)
Note: The derivation of the relation results by the fact that the particle in the electric field is also
charged by q0. The particle is affected by the vector sum of forces, the gradient force affecting the dipole
moment according to (7) and the force affecting the charge generated in the charging process (8).
x
)x(E
)x(EkF
(7)
E.qF 0E
(8)
To simplify it, it is considered that the vector E has only the direction x. Then the resulting force is
as follows:
]
x
)x(E
kq)[x(E)x(Eq
x
)x(E
)x(EkF 00
(9)
The research method of mathematical modelling and computer simulation has proven to become a
powerful approach for understanding the complexity of a physical, biological, chemical system. It enables to
examine the systems based on virtual prototyping. An original physical system is replaced by its computer-
based virtual prototype to be used for various computer experiments whose results are then applied to the
original physical system.
2.3. Synthesis of the Computer Model and Simulation
Based on the model of the separator (synthetized above), this work simulates the separation and
sorting of the particles with varying size and weight, but with identical material parameters. In order to
reflect the real technological conditions we selected the parameters of the particle 1 and the particle 2 were
selected in accordance with the measurements carried out in [19], [20].
The constructed systems of the differential equations are systems of non-linear differential equations
(due to the nonlinear differential Equations (1) and (3)). Since the analytical solution of such equations has
not been possible, the approximation of the methods is the only way of solving the given set of equations.
The Runge-Kutta 3 method in the Matlab software were used to carry out the execution of the tasks. The
system of the differential equations of motion (the mathematical model) was solved numerically in the
Matlab computational environment with the following values:
a. particle 1: q = 0,5∙10-8
C; m = 1∙10-3
kg; εr = 3,5 ; R = 2,5∙10-3
m ;
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444
b. particle 1: q = 0,4232∙10-8
C; m = 0,807∙10-3
kg; εr = 3,5; R = 2,3∙10-3
m;
Moreover, Matlab offers an opportunity for the computational modelling of all the relations among
the state values of the modelled system. In the present research, it assists to solve the following tasks:
a. kinematics of the particle motion in the modelled physical system,
b. dynamics of the particle motion in the modelled hysical system, and,
c. values characterizing the electric field.
These values are presented in following graphs of Figure 3 to Figure 10
Figure 3. Graphical representation of the motion
trajectory of particle 1 (red) and particle 2 (blue)
moving in the space of the separator charged by DC
voltage
Figure 4. Graphical representation of comparison of
forces affecting particle 1 in the relation F = f (r), (DC
voltage), Fgrad - red, FSr – dark blue, FE - green, FG -
light blue
Figure 5. Graphical representation of motion
trajectory of particle 1 (red) and particle 2 (blue)
moving in the space of the separator charged by AC
voltage
Figure 6. Graphical representation of comparison of
forces affecting particle 1 in the relation F = f (r),
(AC voltage), Fgrad - red, FSr - dark blue, FE - green,
FG - light blue
2.3. Analysis and Discussion on the Simulation Results
A proper control over the separation technological process is guaranteed by achieving a high degree
of control over the kinematics and dynamics of the particles motion in the separator space. This is not
workable without recognizing and identifying the effects of the individual quality and quantity factors on this
motion. This is exactly what the current research is aimed at. The key finding that resulted from the present
computer simulation may be drawn as follows: when analyzing dynamics of the charged macroscopic particle
motion in the separator, it is necessary that also gradient force will be taken into account because gradient
force is comparable with the other force interactions (see Figure 4 and Figure 6).
Another important accomplishment is the revealing of the possible occurrence of critical operating
states of the separator provided that it is charged by AC voltage (see Figure 8.). The blue curve in Figure 8
illustrates the relation vr (t) for t = (0;0,01s) provided that φ0= 0°. The red curve in Figure 8 illustrates the
5. Int J Elec & Comp Eng ISSN: 2088-8708
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445
same relation provided that φ0 = 180°. The conducted investigation showed that under the condition of φ0
= 180°, the operation of the separator may become critical. If this is the case, the velocity of the motion vr (t)
takes the opposite direction in comparison to the one stated as the positive one. If the velocity of the motion
reached a negative value during the time t close to zero, the particles would adhere to the wall of the
separator. It would then depend upon nothing but the value vr (0) and the adhesive conditions. It is essential
that this observation will be taken into consideration in the process of designing and constructing an AC
voltage separator.
Figure 7. Dependence Er = f (r) on the trajectory of
the particle motion in the space of the separator
charged by DC voltage
Figure 8. Graphical representation of velocity of
particle 1 motion in the space of the separator
(shown in Figure 1) charged by AC voltage. The
relation vr = f(t)) in the case of ϕ0 = 0° (blue),
in the case of ϕ0 = 180° (red)
Figure 9. Graphical representation of the motion
trajectory of a particle moving in the inter-
electrode space specified according to Figure 1
(dependency y = f(r)). (Red color represents the
trajectory in the case of motion in the field of
space charge, blue color is used for the non-
existence of space charge)
Figure 10. Graphical representation of the intensity
course of the electric field (dependency Er = f(r) - red)
in the interelectrode space according Figure 1. (Blue
color shows the course in the case of non-existence of
space charge, green is for “deformation contribution”)
The most important research contributions are:
a. The improvement of the existing research methods in the technology of separation and sorting (the
emphasis has been so far put on constructional and operational aspects with empirical knowledge being
the main and practically the sole source of information),
b. The parallel solution of the aspects of the kinematics, the dynamics, and of the electric field of a moving
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446
macroscopic particles (in the real environment of electrostatic technologies).
Unlike the past, the proposed method offers a more complex solution to the issue. It solves the issue
not only from the viewpoint of kinematics but also from the viewpoint of dynamics and of the theory of the
electromagnetic field taking into account all the major factors affecting the ballistics of a particle. According
to it, the then used empirical methods were capable of solving only the kinematics of a particle but not its
dynamics, therefore the method proposed seems to be at the moment the only complex solution. The overall
result of the present computer simulation is the knowledge that the operation of the examined type of a
separator is also basically possible when it is charged by AC voltage (it is necessary to consider the possible
occurrence of critical operating states).
Analogically, it is possible to synthetize a computer model of the separator with the electric field of
spatial charge distribution (the model is even more identical to the real model) and to use it for the simulation
of particle separation and sorting (including programming equipment as well as programming technology).
This problem is dealt with in details in [19], where the following issue was selected and discussed: The
motion of a particle of macroscopic size in the electric field of a space charge (the density of the space charge
is ρ = k/r) as shown in the Figure 1.
The solution of the electric field are:
00
k)r(
V
(10)
r0ε
k
0ε
rρ
dr
dV
r
dr
d
.
r
1
(11)
For boundary conditions:
0)r(V,rr;U)r(V;rr 2211 (12)
21
0
CrlnCr
k
V
(13)
r
Ck
x
V
)r(E 1
0
r
(14)
Equations of motion (mathematical model) are:
dt
dr
R6)r(E.q
dt
rd
m r2
2
(15)
dt
dy
R6mg
dt
yd
m 2
2
(16)
The solution is for the values:
p.p : r(0) = 0,005 m ; vr (0) = 15 m/s ; y(0) = 0 m ; vy (0) particle: q = 1.10-8
C ; m = 5,5.10-8
kg;
R = 0,5.10-3
m r : U = 15000 V; rl = 0,005 m ; r2 = 0,5 m, k = 6.10 -5 ; Cl = 1.105 ; s0 = 8,854.10-12 F/m
dynamic viscosity of the environment: ƞ = 18,1.10-6 kg/ms.
3. COMPUTER MODEL OF OF ELECTRIC SEPARATOR OF CYLINDRICAL
Macroscopic particles diffused in the surroundings of coronary electrode, which is connected to
alternating high voltage, are not charged by hypothesis. For this reason it is necessary to create an electro-
physical condition for the creation of monopolar electrical charges in the area of feeder embouchure. One
possibility is to utilize the physical phenomena in metal-dielectric-gas boundary. During the conducted
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Mathematical Modelling and Computer Simulation Assist in Designing Non-traditional …. (Milan Bernát)
447
experiments a coaxial precipitator with four various coronary electrodes has been constructed. The PVC tube
serving as collecting electrode is the basic part of precipitator.
Thin aluminum electrode is attached on the outside of the tube and it creates the ground electrode.
Within the tube there is fixed a thin cooper wire serving as coronary electrode. The experiment used four
types of coronary electrode. One of them is a linear electrode and the others are spiral electrodes with various
rises (Figure 11). The function of coronary electrode is the creation of strong inhomogeneous electric field.
This field can be created by electrodes with a small radius of bend. If the coronary electrode is positive, the
new electrons are created as consequence of bombing a point by electrons. If the coronary electrode is
negative, it is analogical, but the difference is that the avalanches emitted by the negative point are moved to
more homogeneous field, and as a consequence the mobility and ability to ionize decrease.
In the electrical precipitator supplied by alternating voltage by using the metal coronary electrode
the insulating barrier is used as a collecting electrode. For maximal efficiency it is necessary to choose
insulating materials with great value of resistance and permittivity. The choice of materials depends on
another non electrical quantity as for example the temperature of flying gas, enough mechanical solidity and
etc. Insulating barriers must not change their mechanical and dielectric attributes under the influence of
temperature.
For finding the efficiency of precipitator model three types of dust from thermal power plant with
different values of resistance were used. The model of precipitator with length 30cm has an efficiency in the
range of 60 % to 97 % for each of the dust type. Provide a statement that what is expected, as stated in the
"Introduction" chapter can ultimately result in "Results and Discussion" chapter, so there is compatibility.
Moreover, it can also be added the prospect of the development of research results and application prospects
of further studies into the next (based on result and discussion).
Figure 11. Sections configuration of cascade tubular precipitator supplied by alternating high voltage
Table I. Average values of efficiency for each of sections of cascade tube-type precipitator supplied by
alternating voltage
Efficiency [%]
Dust with
ρe = 3 Ω∙m
Dust With
ρe = 13 Ω∙m
Dust with
ρe = 800 Ω∙m
Linear electrode 77.77 58.77 98.51
2,5 cm spiral electrode 87.10 65.42 90.99
4 cm spiral electrode 75.21 61.06 93.07
7 cm spiral electrode 72.20 58.79 94.32
4. CONCLUSION
Computer simulation is becoming a useful tool in the implementation of the research findings into a
manufacturing process. It can assist in the process of designing and constructing a new type of an AC
separator. It can also help to get it into practice and thus move research findings into the real conditions. The
presented computer models may be applied both by project and design engineers using more advanced
computer-aided design of electrostatic technologies, e.g. in the areas where computer simulation is highly
required such as prognosing and diagnosing critical operating states. In conclusion, it is important to draw
attention to the following: in the case of the existence of a great number of the particles (the more identical
model to the real model) and their interactions (due to which they influence each other) it is recommended to
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Int J Elec & Comp Eng, Vol. 8, No. 1, February 2018 : 441 – 449
448
use a statistical approach and stochastic computer modelling of the above-mentioned processes (the creation
of the stochastic computer model is described in the dissertation thesis [19], [20]).
ACKNOWLEDGEMENTS
This work was supported by the scientific Grant Agency of the ministry of Education of the Slovak
Republic projects: KEGA No. 02UMB-4/2015 The creation modern textbooks and workbooks for technical
subjects in lower secondary education.
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BIOGRAPHIES OF AUTHORS
Doc.Ing. Milan Bernát, PhD. was born in Košice, Slovakia, in 1959. He was awarded the Ing
(MSc) degree in electrical engineering by the Faculty of Electrical Engineering and Informatics,
Technical University of Košice, in 1983. He gained the PhD. in the scientific branch 26-34-9
Electrical Engineering and Informatics at the Faculty of Electrical Engineering and Informatics,
Technical University of Košice, in 2001 (thesis [1]) and the PhD. degree in the scientific branch
75-02-9 Theory of technical vocational subjects teaching at the Faculty of Education, Constantine
the Philosopher University in Nitra, in 2005 (thesis [2]).
Ing. Jaroslav Džmura, PhD. was born in Bardejov (Slovakia), on April 28, 1972. He graduated
the Technical University of Košice, Faculty of Electrical Engineering and Informatics in Košice
(Slovakia), in 1995. He received the PhD degree in electrical engineering from the Technical
University of Košice (Slovakia), in 2002. He is Assistant Professor at the Technical University of
Košice, in Košice (Slovakia). His research interests concern: high voltage engineering,
electrostatics and smart electric installation.
PaedDr. Ľubomír Ţáčok, PhD. was born in Stará Ľubovňa, Slovakia, in 1975. He graduated 1998,
teaching general subjects at Prešov, University in Prešov. In 2006, he successfully and was
awarded PhD degree in a scientific discipline theory of teaching technical vocational subjects.
Ľubomír Ţáčok works as an assistant professor at the Department of Technics and Technology
FPV UMB in Banská Bystrica. He is focused to the field named as implementation of
informational and communicational technologies into the process of education in the technical
subjects. He is an author of two scientific monographies and one of them was published in
Ukraine, Poland and Lithuania. Professional and scientific publications were published in the
Slovak, but also in the international journals.
Ing. Jan Pavlovkin, PhD. was born in Krupina (Slovak republic), on May 25, 1955. He graduated
the Slovak Technical University in Bratislava, Faculty of Electrical Engineering and Computer
Science in Bratislava (Slovak Republic), in 1981 – Technical Cybernetics – Automation
Technology. He received the Ph.D. degree in Automation and Control from the Slovak Technical
University in Bratislava, Faculty of Electrical Engineering and Computer Science in Bratislava
(Slovak Republic), in 2005. He is Assistant Professor at the Department of Technology and
technologies at the Faculty of Natural Sciences, Matej Bel University (Slovak Republic). His
research interests concern: of Electrical Engineering and its applications to the Theory of Control
systems and technical vocational subjects teaching.
Doc. RNDr. Renáta Bernátová, PhD. was born in Krupina (Slovak republic), on May 25, 1955.
He graduated the Slovak Technical University in Bratislava, Faculty of Electrical Engineering and
Computer Science in Bratislava (Slovak Republic), in 1981 – Technical Cybernetics – Automation
Technology. He received the Ph.D. degree in Automation and Control from the Slovak Technical
University in Bratislava, Faculty of Electrical Engineering and Computer Science in Bratislava
(Slovak Republic), in 2005. He is Assistant Professor at the Department of Technology and
technologies at the Faculty of Natural Sciences, Matej Bel University (Slovak Republic). His
research interests concern: of Electrical Engineering and its applications to the Theory of Control
systems and technical vocational subjects teaching.