Designing lightning protection systems by Polish standardization is a standardized, albeit ossified process. Estimating lightning risk, which is the basic stage of this procedure according to the PN-EN 62305 standard, is at risk of error and discretion. This article presents a proposal for automating the above process. Starting with the simulation of the electric field distribution around...
In recent years, models based on deep neural networks have demonstrated exceptional capabilities in recognizing and classifying objects in images. Nevertheless, the issue remains with users' trust in the results of these models. In our research, we utilized the multimodal GPT-4o model, which not only classifies objects but also generates explanations for its decisions in natural language....
Insulating systems of high-voltage electrical devices used in the power industry are exposed to various types of exposure during their operation. Overvoltages in the nature of lightning surges, resulting from the direct or indirect impact of atmospheric discharges - lightning, constitute a certain group of these exposures. For this reason, the need to perform tests and design and acceptance...
In today's recruitment field, accurately extracting information from resumes is crucial. This paper looks at how three small language models—Llama 2, Llama 3, and Phi-3—can help with this task using a Zero-Shot approach. We checked how well these models perform by comparing their results with a hand-made dataset, focusing on accuracy and the time each model takes to run on computers that small...
In the furniture industry, precision in drilling holes in melamine-faced chipboard is crucial to maintaining product quality and minimizing financial losses. Manual monitoring of drill conditions, while somewhat effective, is inefficient and imprecise. This paper presents a Convolutional Neural Network (CNN) based approach for automated tool condition monitoring (TCM) using Gradient-weighted...
This study explores the application of Local Interpretable Model-Agnostic Explanations (LIME) for enhancing the explainability of a Convolutional Neural Network (CNN) used in classifying the condition of drilled holes in melamine-faced chipboard. A VGG16 pretrained network serves as the foundation of our CNN model, which is tasked with classifying the holes based on their wear states. The...
In this report, we will investigate to improve the accuracy of waveform extraction in independent component analysis (ICA). In order to confirm the effectiveness of principal component analysis (PCA), which is a pre-processing for ICA, the result of receiving electromagnetic waves containing a mixture of two components using four-receiving system and performing ICA is presented. The result is...
A mathematical model for analyzing electromagnetic and electromechanical transients and periodic modes of a compensated induction motor has been developed. The model is formulated in the normal Cauchy form and adapted for use in computer mathematics software environments. The model provides the ability to take into account the circuit, mode, and parametric features of a compensated induction...
This paper presents a comprehensive investigation into the characterization of electromagnetic fields within a Gigahertz Transverse Electromagnetic (GTEM) chamber using a commercially available KSQ1000 comb generator. The measurements provide detailed information on the field uniformity and frequency response across the chamber volume. This data is crucial for ensuring the accuracy and...
Title:
Pushing the Limits: Exploring the Dynamic Range in Shielding Effectiveness Measurements
Abstract:
This paper examines how window shape and size affect dynamic range of shielding effectiveness measurements in GTEM cell. By analysing the limitations imposed by window geometry, we provide valuable insights for researchers and engineers seeking to enhance the accuracy and...
Verifying the level of conducted emissions is very important from the perspective of electromagnetic compatibility. Depending on the environment in which the equipment operates, different allowed emission levels of disturbances are acceptable as a function of frequency. The article presents a research stand, also used for didactic purposes, by the standard PN-EN 55011, which specifies the...
This work presents the design, construction and validation of a chamber for magnetic field attenuation. The motivation for this work was set by needs of magnetic background controlling during experimental work focused on behavior of biological samples exposed to various level of the low frequency time-varying magnetic field. Thus the solution is proposed with regard to correct cultivation...
This paper presents a planar, periodic coil system
composed of asymmetric elements. The properties of the
selected system were considered in view of the shaping of the
field distribution and the changes in properties due to local
changes in the configuration of the component element.
Accurate dose computation is critical in radiotherapy (RT) to ensure that the calculated dose aligns with the delivered dose, directly impacting clinical outcomes. This paper presents a comparative analysis of photon beam simulations using the Eclipse Treatment Planning System (TPS) (Varian Medical Systems, Palo Alto, CA, USA) and TOPAS Monte Carlo (MC) (Tool for Particle Simulation, Monte...
This paper presents the implementation of a simple
adaptive 3D finite element code in the Julia programming
language. The library was developed to build a tool for the
automated creation of numerous simulations, forming a database
for deep neural network training. The author aims to present
Julia as an extremely
The efficacy of a single bath in weakly radioactive alkaline simple sulfur springs, radioactive springs and alkaline springs on arteriosclerosis has been previously verified based on a mathematical model of the development of arteriosclerosis [1 – 5]. On the other hand, studies have also been conducted on the efficacy of long-term bathing in weakly radioactive alkaline simple sulfur springs on...
The research focuses on galvanically isolated, bidirectional DC//DC dual active bridge converters, which are the basic and essential components in electric energy exchange, including energy storage systems and renewable energy sources. They can be the main building component of larger DC structures called DC microgrids. Creating large-scale power systems usually involves connecting the...
This paper inspects the use of real-time simulation technology in the Mongolian energy system for optimization and improved efficiency. Explored the challenges facing Mongolia’s energy sector and how real-time simulation can mitigate these problems. Examined the benefits, opportunities, and best practices associated with using real-time simulation within a power grid, as well as Mongolia's...
In recent years, the share of renewable energy sources in the Polish power system has grown very rapidly. Currently, the installed capacity in photovoltaic and wind sources constitutes over 40% of all power plants in the national power system [1]. Such a large share of unstable and very dynamic energy sources is a significant threat to the stability of the power system and ensuring a balance...
Intelligent construction based on wireless networks and constant connection to the Internet is becoming more and more popular. In the case of wireless communication, it is necessary to take into account not only the demand reported by the constructors of new facilities, but also the modernization of the infrastructure that has been existing for many years. The problem is assessing the...
There is an increase in energy demand in mobile devices. Their computing power and the number of supported sensors are constantly growing. These factors result in an increased demand for batteries with higher capacity, extending their charging time.
One way to power mobile devices is to charge them using wireless power transfer (WPT). Thanks to the concept of inductive power transfer (IPT),...
We propose a method for improving classification for faults detection in electrical machines when the training data contains a significant amount of wrongly labeled inputs. The proposed method uses the ROCKET - fast and accurate time series classification using random convolutional kernels model logits as an input for classical classification models (neural networks, SVC). The logits from...
A mathematical model of an induction motor with a squirrel-cage rotor is proposed that takes into account the saturation of the magnetic system and the current displacement in the rotor bars. In order to take into account the saturation of the main magnetic flux, the main magnetisation curve is used. To take into account the current displacement, the bars along with the short-circuited rings...
An electric drive based on the wound rotor induction motor (WRIM) needs to be optimized. The inclusion of additional resistances in the WRIM rotor circuit is used not only to regulate the motor current and torque during startup, but also to control the rotor speed. The efficiency of an induction drive can be increased by optimally selecting the parameters of the rheostat resistances and the...
A high-performance system for stabilizing the consumption mode of reactive power of an arc furnace (AF) has been developed. The system operates using the principles of thyristor control of the equivalent inductance of the chokes included in the primary circuit of the furnace transformer. The dependencies of the artificial external characteristics of the arc furnace for multicriteria optimal...
Abstract—Peculiarities of the use of parallel computing for the analysis of dynamic systems are studied using the example of the Lotka-Volterra "predator-prey" model. Such relaxation methods as the Jacobi, Gauss-Seidel, SOR and their parallel implementations using Python libraries are considered. The analysis of the efficiency and accuracy of these methods, and the influence of the model...
This paper presents a comparative performance study of an equilateral triangular patch antenna (ETPA) with and without an additional air gap substrate. The proposed antenna covers the S-band (2.4GHz-2.5GHz) for satellite communication. The antenna consists of truncated equilateral triangular patches connected at the truncated corners by two PIN diodes to the two parasitic triangular patches. A...
Our paper deals with designing and implementing methods for interactive visualization of dynamic spatial data using augmented reality (AR/XR). The data include the work zones of the robots and other information about the environment, e.g. lidar ranges and physical fields are also planned. Visualization takes place using AR headsets Microsoft HoloLens 2. These headsets are equipped with our...
Industrial high-temperature applications have traditionally depended on fossil energy sources, which are inherently inefficient. Consequently, there is significant interest in exploring efficient and sustainable alternatives. Induction heating technologies, known for their energy efficiency, can be powered by renewable energy sources. This study presents and models a device designed for...
The article discusses the practical application of the inverse method of electromagnetic non-destructive investigation of austenitic materials. It includes the design of a robust tool for the automated localization of material defects. To identify and evaluate deep artificial defects, the sweep-frequency eddy current method with harmonic excitation is used. The objects of interest are surface...
X-ray imaging systems are among the oldest and most widely used imaging systems in medical and industrial diagnostics. X-ray imaging systems have changed considerably over the course of their existence. The physical principle remains unchanged, but the technical means of image acquisition have been replaced. Today, in addition to conventional X-ray imaging machines, digital machines and CT...
The paper is focused on computer simulations related to the extrusion of ceramic material for continuous 3D printing. The aim is to optimize the process of extrusion of ceramic material using numerical simulations. These simulations are essential for understanding fluid dynamics in 3D printers, especially when working with complex materials such as ceramic clays and clays with additives. The...
In this study, we aim to create a model of the human eye and antenna to simulate the impact of high-frequency electromagnetic fields (EMF) on it. Our objective is to compare the calculated results with the current legal limit values for high-frequency EMF and their interaction with the tissues of the human eye.
We utilize assembled simulation models that combine specifically designed dipole...
Abstract. Fitting methods are based on optimization techniques. These methods find wide application in the process of designing new systems and devices as well as redesigning existing ones. In the publicly available literature, a significant number of matching methods can be found, including both proprietary and widely known and used algorithms, contained in commercial software such as...
Due to the continuously increasing number of re-
sources and data available in the cloud, the threats related to
the security of computer networks and IT systems are critical.
Threat detection systems based on deep neural networks and
anomaly detection are trained on data related to normal activity
so that the network can recognize unusual patterns and behaviors
in the event of an attack...
Abstract. The aim of the paper is to demonstrate the multidimensional benefits resulting from building a photovoltaic system in agricultural areas intended for asparagus cultivation. Energy, agronomic and economic analyzes will be conducted. For the purposes of extensive energy analyses, solar irradiation and energy production data from an existing solar power plant located in western...
This paper presents a study on evaluating the effectiveness of algorithms used for human fall detection. For this purpose, a personal fall detector based on a micro-controller and MEMS sensors was built. Detection algorithms described in scientific papers are discussed. The issue of artificial intelligence and its impact on the development of the fall detection issue was described. Three...
One of the primary challenges in the Internet of Things (IoT) is efficiently authenticating massively deployed devices without relying on user technical expertise. Traditional methods such as certificates and public-private key pairs are impractical on resource-constrained embedded devices due to their computational demands, while read-only unique identifiers incur high implementation costs,...
Nowadays, we are dealing with the development of industrial technologies that bring numerous benefits, but also new threats. Many technological industries are focusing on Industry 4.0, where digitization and process automation are key, and the emerging cyber threats are becoming an increasingly significant problem. As the industry develops, cyber threats evolve. In industry, this requires...
The paper contains outcomes of the Authors’research in the field of the procedure development for the signals acquired by the derivative EM field probes.
Today's Internet is based on interconnected computers and network devices, constituting a complex and highly dispersed infrastructure. The transmission uses an inter-operator network, which, among hundreds of intermediary devices, implements the assumptions of the BGP protocol. It is a very primitive protocol, over 35 years old, which does not work from the point of view of the realities and...
EFT/Burst disturbances are one of the most influential phenomena in sensitive devices. The selection of protection measures against them is determined by its nature. Due to the complexity of these disturbances, it is worth conducting a multi-level analysis, mainly frequency analysis of the disorder under study, before developing suppression methods.
This paper's authors focused on analyzing...
The paper proposes an ensemble composed of CNN networks for the detection of anomalies in ECG waveforms. The approach is composed of two stages: transformation of ECG signals into images and association of the images with the appropriate class of anomaly using the ensemble of CNN classifiers. The experiments have been performed on the publicly available database Complex Physiologic Signals...
The objective of the presented paper is concentrated on the estimation of short-circuit current in electrical power systems. The most methods of short circuit current evaluation presented in the literature are based on the analysis of numerical grid models. Numerical models comprise whole electrical systems and should be permanently bring up to date. Measurements of real system can append...
Generative machine learning models are of increased interest in recent years. While they are usage is expanding to multiple fields especially with goal of replacing time consuming repeatable tasks. However such models can be utilised for improving performance of models that are designed for classification tasks. We discuss application of Generative Adversarial Networks for image augmentation...
The paper presents a constructed model of a prosthetic hand controlled by an electromyographic (EMG) signal. The hand model, along with the forearm, was printed using a 3D printer from PETG material. An Arduino Uno microcontroller was chosen as the control system for the servomechanisms, which act as the execution system. A polyester braid is responsible for transferring the movement of the...
This paper investigates the use of morphological neural networks in medical image processing, demonstrating their ability to capture spatial structures. The goal of the paper is to investigate the potential of morphological neural networks to outperform traditional convolutional neural networks in tasks like segmentation, classification, and anomaly detection by utilizing morphological operations.
Abstract – The paper presents an effective algorithm for stabilizing periodic orbits immersed in a strange attractor of phase trajectories, which involves small changes in selected parameters of the hyper-chaotic system at each sampling time. The applied control concept consists in modifying selected system parameters in such a way as to minimize the distance of the trajectory from a fixed...
