
Monika KuliszLublin University of Technology · Department of Enterprise Organization
Monika Kulisz
Ph.D., Eng.
About
94
Publications
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532
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Publications
Publications (94)
This study presents an innovative methodology for reconstructing internal structures of industrial tank reactorsusing Electrical Impedance Tomography (EIT). The approach leverages a sequence of three measurement vectors,each corresponding to different frequencies (100 kHz, 50 kHz, and 10 kHz), to enhance the accuracy androbustness of EIT reconstruc...
Purpose
This study aims to evaluate the impact of different organic amendments (digestate from a biogas plant and spent mushroom substrate) and environmental factors (temperature, rainfall, soil temperature, soil moisture, and organic matter content) on CO2 flux from agricultural soils. The research seeks to determine how these variables influence...
This article will introduce the concept of analyzing and detecting defects on production lines, paying attention to acceleration, temperature and humidity sensors. A system has been prepared to supervise the work. For this purpose, a prototype production line with intelligent sensors has been prepared. We present a comprehensive approach based on c...
Internal migration regulates both the size and structure of human resources and affects the labor market at different spatial scales. It therefore has not only a demographic dimension, but also a spatial one, which is why it can significantly affect development on both a local and regional scale. The main objective of this study was to examine the...
This study explores the use of machine learning models to predict the percentage of the population unable to keep their houses adequately warm in European countries. The research focuses on applying three machine learning models—ElasticNet, decision trees, and neural networks—using macro-energy indicator data from Eurostat for 27 European countries...
Developing a fine-grained concrete composition for additive technologies is an important scientific and practical task, since traditional building mixtures are unsuitable for 3D printers, and special solutions are practically absent in mass production. This study aims to develop a composition of fine-grained concrete for additive technologies using...
This paper delves into a significant area of research, exploring the application of the standard boundary element method (BEM) to analyze inverse acoustic frequency scattering problems in 2D space using a rigid corrugated circular object. The inverse problem is reformulated as an optimization problem, with the boundary of the scatterer parametrized...
This paper explores the application of various machine learning techniques to model the optimal measurement time required after machining with a probe on CNC machine tools. Specifically, the research employs four different machine learning models: Elastic Net, Neural Networks, Decision Trees, and Support Vector Machines, each chosen for their uniqu...
The study describes an innovative approach to reconstructing moisture distribution within walls using EIT, extending beyond the conventional single measurement vector methods. The research introduces a unique strategy involving a series of five measurement vectors, each deliberately disrupted by noise, to mirror real-life conditions more accurately...
In the context of escalating energy demands and the quest for sustainable waste management solutions, this paper evaluates the efficacy of three machine learning methods—ElasticNet, Decision Trees, and Neural Networks—in predicting energy recovery from municipal waste across the European Union. As renewable energy sources increasingly dominate the...
Manufacturing processes in industry applications are often controlled by the evaluation of surface topography. Topography, in its overall performance, includes form, waviness, and roughness. Methods of measurement of surface roughness can be roughly divided into tactile and contactless techniques. The latter ones are much faster but sensitive to ex...
Designing the environment and landscapes related to human life requires, on the one hand, taking into account the values and potential of the environment, and on the other hand, taking into account human needs. Such environmental design must be carried out persistently through interaction and balance with the environment. The purpose of this study...
This paper presents innovative machine-learning solutions to enhance energy efficiency in electrical tomography for industrial reactors. Addressing the key challenge of optimizing the neural model’s loss function, a classifier tailored to precisely recommend optimal loss functions based on the measurement data is designed. This classifier recommend...
The paper presents the results of a study investigating the roughness parameters Rq, Rt, Rv, and Rp of finished-milled magnesium alloys AZ91D and AZ31B. Carbide end mills with varying edge helix angles were used in the study. Statistical analysis was additionally performed for selected machining conditions. In addition, modelling of selected roughn...
This article provides a detailed review of the types of magnesium wheels available in the industry and the current methods of the wheels’ production. The past several years have seen a significant development of magnesium-based lightweight alloys employed as a structural material for modern light vehicles. Magnesium alloys are characterized by thei...
This study investigates the application of Artificial Neural Networks (ANN) in forecasting agricultural yields in Kazakhstan, highlighting its implications for economic management and policy-making. Utilizing data from the Bureau of National Statistics of the Republic of Kazakhstan (2000-2023), the research develops two ANN models using the Neural...
The purpose of this work is the design of the environment and landscapes associated with human life, requires, on the one hand, taking into account the values and potential of the environment, and on the other hand, taking into account human needs. This design of the environment must be persistently pursued through interaction and balance with the...
In modern times, the risk of food insecurity is a concern for policymakers at the global and national levels, as the issue of hunger and malnutrition still exists. Food security is vulnerable to any crises. The main goal of this paper is to create a neural-network-based predictive model to forecast food consumption trends in Kazakhstan, aiming to r...
Objectives
Every organization operating in the 20s of the 21st century struggles with operating in a turbulent environment. The effects of the Covid-19 pandemic, which are still being felt today, cause some changes in customer behavior. This article focuses on the study of this phenomenon in relation to the risk perceived by customers in making onl...
Cel pracy
Badanie miało na celu zaproponowanie rozwiązania systemu logiki rozmytej jako narzędzia wspierania decyzji o wdrożeniu outsourcingu w przedsiębiorstwach, uwzględniając fundamentalne czynniki tej koncepcji.
Materiał i metody
Na podstawie obszernego przeglądu literatury, badania kwestionariuszowego na przedsiębiorstwach oraz raportu badawc...
The relevance of industrial processing of waste from thermal power engineering and mining and metallurgical complex (MMC) enterprises in order to obtain effective concrete is due to the need to obtain building materials with improved characteristics and low cost, on the one hand, and the problem of catastrophic volumes and condition of man-made was...
This article presents the problem of forecasting the length of machine assembly cycles in make-to-order production (Make-to-Order). The model of Make-to-Order production and the technological process of manufacturing the finished product are presented. The possibility of developing a novel method, using artificial intelligence solutions, to estimat...
This study concerns research on using electrical impedance tomography (EIT) to image moisture inside the porous walls of buildings. In order to transform the electrical measurements into the values of the reconstructed 3D images, a neural network containing the LSTM layer was used. The objective of the study was to evaluate the impact of various lo...
Recently, biomass has become an increasingly widely used energy resource. The problem with the use of biomass is its variable composition. The most important property that determines the energy content and thus the performance of fuels such as biomass is the heating value (HHV). This paper focuses on selecting the optimal number of input variables...
The use of magnesium alloys in various industries and commerce is increasing due to their properties such as high strength and casting properties, high vibration damping capability, good shielding of electromagnetic radiation and high machinability. Conventional machining methods can, however, pose a risk of ignition. AWJM is a safe alternative to...
Industry 5.0 is a natural direction for the development of the current Fourth Industrial Revolution. With the new concept, we see the human factor returning to the production process. Industry 5.0 is a collaborative effort between humans and machines, specifically collaborative robots. As part of this cooperation, the machine would observe and inte...
Highlights Abstract:
▪ combination of two types of electrical tomography (capacitance and impedance), ▪ verification of the advantage of hybrid tomography over homogeneous methods,
▪ application of the LSTM network to solve the inverse problem in electrical tomography,
▪ the original approach to tomographic measurements as a data sequence for the...
W opracowaniu przeprowadzono modelowanie salda migracji wewnętrznych dla miasta Poznania w zależności od wybranych wskaźników (tj. liczby i powierzchni istniejących mieszkań, liczby izb w mieszkaniu, przeciętnej powierzchni użytkowej mieszkania na 1 osobę, salda migracji wewnętrznych, zmiany liczby ludności na 1000 mieszkańców, liczby ludności ogół...
The paper evaluated the possibility of using artificial neural network models for predicting the compressive strength (Fc) of concretes with the addition of recycled concrete aggregate (RCA). The artificial neural network (ANN) approaches were used for three variable processes modeling (cement content in the range of 250 to 400 kg/m3, percentage of...
Air quality control and its prediction are particularly important for human health and life. Sulfur dioxide constitutes one of the air pollutants that play an important role in air quality pollution. An artificial neural network model was employed to forecast the levels of sulfur dioxide in the air of Zamość (Poland). The measured data of the meteo...
The purpose of this study was to employ a previously trained (pre-trained) convolutional neural network called Resnet101 in conjunction with deep machine learning approaches in order to construct an algorithm for classifying cracks in the photos that were evaluated. Adjustments were made to the ultimate layer, which resulted in the fully connected...
Statistics of recent years shows an annual increase in the volume of technogenic waste (in particular "tailings") of mining and metallurgical enterprises of Kazakhstan by about 1.5 billion tons, which at the current time is already about 4.7 billion that entails certain environmental and economic consequences. This article proposes the potential us...
Air pollution has a major impact on human health, especially in cities, and elevated concentrations of PMx are responsible for a large number of premature deaths each year. Therefore, the amount of PM10 in the air is monitored and forecasts are made to predict the air quality. In Poland, mainly deterministic models are used to predict air pollution...
The main purpose of the study was to define the machining conditions that ensure the best quality of the machined surface, low chip temperature in the cutting zone and favourable geometric features of chips when using monolithic two-teeth cutters made of HSS Co steel by PRECITOOL. As the subject of the research, samples with a predetermined geometr...
This paper shows the surface quality results after finishing milling of AZ91D and AZ31 magnesium alloys. The study was performed for variable technological parameters: cutting speed, feed per tooth, axial depth of cut and radial depth of cut. The tools used in the study were two carbide cutters with a different tool cutting edge helix angle. The me...
The paper presents the results of modeling 2D surface roughness parameters in milling by means of an artificial neural network (ANN). The AZ91D magnesium alloy was used. A HSS milling cutter was employed in the research. The main aim of the study was to obtain the lowest possible surface roughness (good quality) using a commonly available HSS cutte...
The aim of this paper is to present the potential of using neural network modelling for the prediction of the surface water quality index (WQI). An artificial neural network modelling has been performed using the physicochemical parameters (TDS, chloride, TH, nitrate, and manganese) as an input layer to the model, and the WQI as an output layer. Th...
This paper presents the results of experimental study of the AZ31 magnesium alloy milling process. Dry milling was carried out under high-speed machining conditions. First, a stability lobe diagram was determined using CutPro software. Next, experimental studies were carried out to verify the stability lobe diagram. The tests were carried out for d...
Groundwater quality monitoring in the vicinity of drilling sites is crucial for the protection of water resources. Selected physicochemical parameters of waters were marked in the study. The water was collected from 19 wells located close to a shale gas extraction site. The water quality index was determined from the obtained parameters. A secondar...
Abstarct: Purpose: The aim of the article is to develop an algorithm for classifying cracks in the analyzed images using modern methods of deep machine learning and transfer learning based on pretrained convolutional neural network-Inception-ResNet-v2. Design/Methodology/Approach: Transfer learning based on the pretrained convolutional neural netwo...
Purpose: The objective of the paper was to define the current attitudes of Poles vs. cashless transactions and their perception of the related risk of Covid-19 infection.
Design/Methodology/Approach: The research method involved a survey, and the research tool was a survey questionnaire distributed by a research agency. The target-amount selection...
Machined surface quality is one of the key indicators of a correctly conducted milling process. This paper reports on the results from numerical and statistical analysis of the condition of AZ91D Magnesium Alloy after milling using the PCD Tool. Three surface roughness indicators were of interest – average roughness (Ra), maximum height of profile...
The matrix profile processing is considered for the implementation of production maintenance tasks in the context of data acquisition by industrial Internet of Things solutions. The prospective implementation of the matrix profile data structure is verified through a dedicated case study, presenting the method of processing non-labelled data regist...
Planning is a crucial component of short- and long-term municipal waste management. Establishing the relationships between the factors that determine the amount of waste generated by municipalities and forecasting the waste management needs plays a fundamental role in the development of effective planning strategies and implementation of sustainabl...
This study attempts to verify whether green-marketing efforts of companies are recognised by the Polish customer in social media—a vital marketing communication channel. For businesses, this awareness carries important implications for the effectiveness and profitability of the eco-marketing campaigns. This study employed survey methodology, which...
This paper analyses the effect of the abrasive waterjet cutting parameters’ modification on the condition of the workpiece surface layer. The post-machined surface of casting aluminium alloys, AlSi10Mg and AlSi21CuNi, was characterised in terms of surface roughness and irregularities, chamfering, and microhardness in order to reveal the effect that...
About The Conference
4th International Conference of Computational Methods in Engineering Science (CMES 2019), 21-23 November 2019, Kazimierz Dolny, Poland.
The main objective of the 4th CMES conference is development of engineering sciences, numerical and experimental techniques, broaden experience and good practices by representatives of the scie...
5th CMES conference is the development of engineering sciences, numerical and experimental techniques, broaden experience and good practices by representatives of the scientific community and industry. Conference allows the exchange of knowledge between different research domestic and foreign centres representing various fields of engineering scien...
The aim of this study was to investigate the effect of milling and brushing cutting data settings on the surface geometry and energy parameters of two Mg alloy substrates: AZ91D and AZ31. In milling, the cutting speed and the trochoidal step were modified (vc = 400–1200 m/min and str = 5–30%) to investigate how they affect selected 2D (Rz, Rku, Rsk...
The mathematical model presented in this paper describes the process of milling AZ91D Mg alloy with the TiAlN-coated tool. The experimental data from the neural network training served to determine the effect of various milling parameters on the surface roughness of the workpiece. The 2D roughness measurements were taken on the end-faces of specime...
While current studies in the field of Internet of Things (IoT) tend to focus on the technical aspects, such as programming, hardware and software, publications on the behavioural aspects of IoT remain few. Therefore, the primary objective of this chapter is to contribute to the discussion by providing a conceptual framework for an IoT-based system...
This paper set out to investigate the effect of cutting speed v c and trochoidal step s tr modification on selected machinability parameters (the cutting force components and vibration). In addition, for a more detailed analysis, selected surface roughness parameters were investigated. The research was carried out for two grades of magnesium alloys...
Cutting force components determined experimentally in milling of AZ91D and AZ31 magnesium alloys with a PCD milling were compared with the data from simulation with neural networks. The process was carried out at fixed tool geome-try, workpiece strength properties, technological machine properties, radial and axial depth of cut. We monitored how th...
This paper reports on the study of vibration acceleration in milling and vibration prediction by means of artificial neural networks. The milling process, carried out on AZ91D magnesium alloy with a PCD milling cutter, was monitored to observe the extent to which the change of selected technological parameters (vc, fz, ap) affects vibration acceler...
This paper presents the model for milling AZ91HP magnesium alloy with TiAlN coated carbide end mill. The model was developed on the basis of experimental data from the neural network training data set. The milling process was conducted at constant parameters of tool geometry, workpiece strength properties, techno-logical machine properties, radial...
Modern businesses boost management by implementing integrated IT systems, such as highly popular in Poland – SAP software, to aid the enterprise resource planning (ERP). This paper evaluates the implementation of an ERP system at a steel wheel rims manufacturer and distributor. The main research method was questionnaire, conducted at the Logistics...
This paper investigates the effect of change of the abrasive flow rate and the jet feed on the effectiveness of machining of AZ91D casting magnesium alloy. The evaluation of the state of the workpiece surface was based on surface and area roughness parameters (2D and 3D), which provided data on: irregularities formed on the workpiece edge surface (...
The presentation was addressed to students of the newly launched Master's Degree in Tourism Management in the University of Castilla La Mancha. It presents the importance of the tourism sector in the Lublin region. After a short description of the region, the most important tourist attractions were presented. Then, the development of tourism in the...