2024 - Repozytorium publikacji - Politechnika Gdańska

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Development of advanced machine learning for prognostic analysis of drying parameters for banana slices using indirect solar dryer
- Nguen Van
- Prabhu Paramasivam
- Marek Dzida
- Sameh M. Osman
- Duc Trong Nguyen Le
- Dao Nam Cao
- Thanh Hai Truong
- Viet Dung Tran
2024 Pełny tekst Case Studies in Thermal Engineering
In this study, eXtreme Gradient Boosting (XGBoost) and Light Gradient Boosting (LightGBM) algorithms were used to model-predict the drying characteristics of banana slices with an indirect solar drier. The relationships between independent variables (temperature, moisture, product type, water flow rate, and mass of product) and dependent variables (energy consumption and size reduction) were established. For energy consumption, XGBoost demonstrates superior performance with an R2 of 0.9957 during training and 0.9971 during testing, alongside minimal MSE of 0.0034 during training and 0.0008 during the testing phase indicating high predictive accuracy and low error rates. Conversely, LGBM shows lower R2 values (0.9061 training, 0.8809 testing) and higher MSE of 0.0747 during training and 0.0337 during testing, reflecting poorer performance. Similarly, for shrinkage prediction, XGBoost outperforms LGBM, evidenced by higher R2 (0.9887 training, 0.9975 testing) and lower MSE (0.2527 training, 0.4878 testing). The comparative statistics showed that XGBoost regularly outperformed LightGBM. The game theory-based Shapley functions revealed that temperature and product types were the most influential features of the energy consumption model. These findings illustrate the practical applicability of the XGBoost and LightGBM models in food drying operations towards optimizing drying conditions, improving product quality, and reducing energy consumption.
Development of an Advanced Control Algorithm for DAB DC/DC Converters: Inrush Current Limitation and Enhanced Operation in Transient States.
- Serafin Bachman
- Marek Turzyński
2024 Pełny tekst Bulletin of the Polish Academy of Sciences-Technical Sciences
The publication addresses the dynamic state challenges encountered during development of a dual active bridge (DAB) converter within DC microgrid systems. The conventional startup method is identified as instigating a cascade of unfavorable outcomes, encompassing elevated starting current, transformer current asymmetry, DC voltage distortions, EMI and heightened thermal stress on semiconductor components. Additionally, it necessitates precise calibration of magnetic components and diodes. A proposed remedy to these issues is introduced, involving a control method based on an additional phase shift to modulate the current of the primary H bridge. This novel control methodology is posited as a means to mitigate the forementioned undesirable effects associated with traditional converter initiation techniques. The research also delves into considerations of a proper design procedure for the converter. Emphasis is placed on integrating the novel control methodology into the design framework in order to effectively address challenges arising during transient states. Validation of the proposed solution is substantiated through a series of laboratory tests, the results of which are comprehensively presented in the article. These tests affirm the efficiency of the system when incorporating the novel control methodology, thereby substantiating its practical utility in mitigating the issues identified during the initiation phase of the DAB converter in DC microgrid systems.
Development of an emulation platform for synchronous machine power generation system using a nonlinear functional level model
- Filip Kutt
- Łukasz Sienkiewicz
- Szymon Racewicz
- Michał Michna
- Roland Ryndzionek
2024 Pełny tekst Archives of Electrical Engineering
The article presents the Power Hardware in the Loop (PHIL) approach for an autonomous power system analysis based on the synchronous generator model incorporating magnetic saturation effects. The model was prepared in the MATLAB/Simulink environment and then compiled into the C language for the PHIL platform implementation. The 150 kVA bidirectional DC/AC commercial-grade converter was used to emulate the synchronous generator. It was controlled by the real-time simulation control unit with the prepared synchronous generator model incorporating magnetic saturation effects. The proposed approach was validated on the 125 kVA synchronous generator connected to the active and reactive loads of different values for the steady-state and the transient-state performance studies.
Development of an orbital shaker-assisted fatty acid-based switchable solvent microextraction procedure for rapid and green extraction of amoxicillin from complex matrices: Central composite design
- Adil Elik
- Yağmur Demirkol
- Hameed Ul Haq
- Grzegorz Boczkaj
- Khan Sanaullah
- Nail Altunay
2024 FOOD CHEMISTRY
In this study, a cheap, fast and simple orbital shaker-assisted fatty acid-based switchable solvent microextraction (OS-FASS-ME) procedure was developed for the extraction of amoxicillin (AMOX) in dairy products, pharmaceutical samples and wastewater prior to its spectrophotometric analysis. Fatty acid-based switchable solvents were investigated for extracting AMOX. The key factors of the OS-FASS-ME procedure were optimized using a central composite design. The linearity of OS-FASS-ME procedure was in the range 5–600 ng mL−1 with a correlation coefficient of 0.991. In five replicate experiments for 20 ng mL−1 of AMOX solution, the recovery and relative standard deviation were 95.8% and 2.2%, respectively. Limits of detection and quantification were found 1.5 ng mL−1 and 5 ng mL−1, respectively. The accuracy, precision, robustness and selectivity of the OS-FASS-ME procedure were investigated in detail under optimum conditions. The OS-FASS-ME procedure was applied to milk, cheese, wastewater, syrups and tablets. A comparison of the results obtained from the reference method and the OS-FASS-ME method showed that the OS-FASS-ME procedure can be successfully applied to complex matrices.
Development of novel smartphone-based methods of wine quality assessment
- Kaja Kalinowska
2024 Pełny tekst
The doctoral dissertation concerns the development of novel smartphone-based analytical methods of wine quality evaluation, which would be in line with the stipulations of green and equitable analytical chemistry. This solution is based on the analysis of biogenic amines and selected bioactive compounds. The dissertation is based on four articles containing the results of research which led to the development of smartphone-based approach. It was shown that the comprehensive analytical solution comprised of the experimental setup for smartphone-based analysis and a set of methods for the determination of multiple bioactive compounds can be used for wine quality assessment. The use of experimental setup for smartphone-based analysis facilitates modification and adaptation to particular applications. Furthermore, the portability of the setup and simplification of sample preparation procedures enable not only in-field use but also application in each stage of the manufacturing and distribution process.
Development of potent and effective SARS-CoV-2 main protease inhibitors based on maleimide analogs for the potential treatment of COVID-19
- Karol Biernacki
- Olga Ciupak
- Mateusz Daśko
- Janusz Rachoń
- Damian Flis
- Justyna Budka
- Iwona Inkielewicz-Stępniak
- Anna Czaja
- Janusz Rak
- Sebastian Demkowicz
2024 Pełny tekst JOURNAL OF ENZYME INHIBITION AND MEDICINAL CHEMISTRY
In the present work, we report a new series of potent SARS-CoV-2 Main Protease (Mpro) inhibitors based on maleimide derivatives. The inhibitory activities were tested in an enzymatic assay using recombinant Mpro (3CL Protease from coronavirus SARS-CoV-2). Within the set of new Mpro inhibitors, 6e demonstrated the highest activity in the enzymatic assay with an IC50 value of 8.52 ± 0.44 mM. The IC50 value for Nirmatrelvir (PF-07321332, used as a reference) was 0.84 ± 0.37 mM. The cytotoxic properties were determined in the MTT assay using MRC-5 and HEK-293 cell lines. In the course of the investigation, we found that the newly obtained maleimide derivatives are not substantially cytotoxic (IC50 values for most compounds were above 200 mM).
Development of thin film SPME sorbents based on deep eutectic solvents and their application for isolation and preconcentration of endocrine-disrupting compounds leaching from diapers to urine
- Aneta Chabowska
- Justyna Werner
- Agnieszka Zgoła-Grześkowiak
- Julia Płatkiewicz
- Robert Frankowski
- Justyna Płotka-Wasylka
2024 MICROCHEMICAL JOURNAL
In this study, the thin film solid phase microextraction (TF-SPME) based on a novel sorbent composed of deep eutectic solvent (DES) is proposed. Among several synthesized sorbents the most efficient was DES containing trihexyl(tetradecyl)phosphonium chloride and docosanol mixed with polydimethylsiloxane (PDMS) in a molar ratio 1:3:0.25 to achieve a more stable structure. The proposed sorbent was applied on a fiberglass mesh and used as a TF-SPME sorbent for the determination of fifteen endocrine-disrupting compounds (EDCs): methylparaben (MeP), ethylparaben (EtP), propylparaben (PrP), butylparaben (BuP), benzylparaben (BzP), bisphenol A (BPA), bisphenol S (BPS), bisphenol F (BPF), bisphenol AF (BPAF), bisphenol E (BPE), bisphenol B (BPB), triclosan (TCS), triclocarban (TCC), butylated hydroxyanisole (BHA) and butylated hydroxytoluene (BHT) leaching from diapers to synthetic urine. A central composite design methodology was used to optimize extraction from urine and four factors were tested, such as mass of DES/PDMS, extraction time, desorption time, and volume of triethylamine (additive to the desorbing solvent). The developed methodology was characterized by good metrological parameters (limit of detection (LOD): 0.01–1.15 ng mL 1, precision: 2.5–10.3 %). The method was linear in the range of 0.1 ng mL 1 to 100 ng mL 1 with a satisfactory coefficient of determination. After preconcentration by TF-SPME, EDCs were determined by LC-MS/MS. The main EDCs found in diapers were BPA, BPS, MeP, EtP, and PrP.
Diagnosis of marine internal combustion engines by means of rapidly variable temperature and composition of exhaust gas as an alternative or support for currently used diagnostic methods
- Patrycja Puzdrowska
2024 Pełny tekst Combustion Engines
The article points out relevance of parametric diagnostics of ship engines and analyzes the state of research in this field. A method is proposed for diagnosing engine systems on the basis of rapidly variable exhaust temperature while measuring its composition. A method for determining diagnoser tools from the signal within one engine cycle and mathematical and statistical treatment of test results is presented. The products of numerical moddeling in the Diesel-RK software and the products of laboratory research on a Farymann Diesel test engine were analyzed. Affect of the most popular defects on the analyzed parameters was defined. Criteria for matching a diagnoser tool in accordance with the type of damage in a ship engine was presented. A methodology was proposed for adapting the presented method to metering on a ship engine in operation.
Diagnostics and protection methods a residential building in connection with the reconstruction of a road located in its immediate neighborhood - case study
- Maciej Niedostatkiewicz
2024 Pełny tekst Inżynieria Bezpieczeństwa Obiektów Antropogenicznych
The paper is a case study in the assessment of the technical condition of a residential building showing a significant degree of technical wear and tear, which was located in the impact zone of the road planned for expansion. Due to the commencement of works related to the expansion of the road, a doubt arose whether the road works carried out, in particular on the section along the residential building, would not cause further deterioration of its technical condition, causing a pre-failure condition, failure or leading to a construction disaster. The paper presents a detailed description of the methodology for assessing the technical condition of the residential building in question.
Diagnostics of the Peripheral Artery Disease with use of Glucose Sensor - A Proof of Concept
- Ignacy Rogoń
- Jakub Brzeziński
- Adam Bujnowski
- Mariusz Kaczmarek
- Jerzy Wtorek
2024
It is estimated that 13% of population over 50 years old suffer from symptomatic or asymptomatic peripheral artery disease (PAD). Ankle-brachial index (ABI) is viewed as a useful parameter in diagnostics of peripheral arterial disease, however screening tests with usage of this method are not advised. Hypoxia causes increase in lactate values and decrease in blood glucose. We hypothesize that the deficit in blood supply to the muscles of the lower limbs will manifest itself in a lower blood glucose concentration, e.g. in the toe measurement compared to the reference measurement taken in the part of the body where the blood supply is normal or slightly worse. We proposed simple method for determining the foot-toe glucose index (FTGI) based on automatic measurement of glucose concentration in a blood sample. Obtained results suggest that proposed method is more sensitive than cuff/ultrasound doppler method.
Diagnostyka belki żelbetowej poddanej działaniu korozji
- Tomasz Ferenc
- Erwin Wojtczak
- Błażej Meronk
- Magdalena Rucka
2024
W artykule przedstawiono badania nieniszczące belki żelbetowej poddanej działaniu korozji. Opisano serię eksperymentów z wykorzystaniem technik pomiaru różnicy potencjału, drgań swobodnych oraz ultradźwięków. Belkę poddano korozji elektrochemicznej poprzez umieszczenie jej w roztworze NaCl, a następnie podłączenie jej pod prąd stały. W czasie, gdy w belce rozwijał się proces korozji, była ona wyjmowana, oceniana wizualnie oraz badana za pomocą wspomnianych metod nieniszczących. Na podstawie badań wyróżniono trzy etapy powstawania korozji. Pierwszy etap związany był z absorpcją wody, drugi etap związany z rozwojem procesu korozji i pojawieniem się pierwszych rys, oraz trzeci etap związany z dalszą degradacją próbki.
Diagnostyka off-line stanu izolacji uzwojeń silników 6 kV z wykorzystaniem obrazowania akustycznego wyładowań niezupełnych
- Marek Adamowicz
- Marcin Gulczyński
- Marek Olesz
2024 Pełny tekst Przegląd Elektrotechniczny
W zakładach przemysłowych, w których kluczowe procesy produkcyjne są realizowane z wykorzystaniem silników średniego napięcia, dla których diagnostyka izolacji uzwojeń ma istotne znaczenie. W tym celu wykonuje się ocenę porównawczą wyników pomiarów wyładowań niezupełnych (WNZ) wykonywanych dla jednostek tego samego typu, a jej skuteczność w znacznej mierze wynika z wieloletniego doświadczenia diagnosty. Dla opracowania wyników WNZ stosuje się metodę fazowo-rozdzielczą PRPD, która wyznacza określone parametry WNZ w funkcji fazy napięcia przemiennego. Dysponując określonymi wzorcami WNZ można określić rodzaj wady izolacji silnika, bez możliwości lokalizacji jej występowania. W referacie omówiono nowe możliwości wspomagania diagnostyki off-line z wykorzystaniem kamery akustycznej, która analizuje widmo akustyczne WNZ i lokalizuje miejsce ich występowania na optycznym obrazie badanego obiektu. Kamera akustyczna wykorzystuje szeroką gamę mikrofonów szerokopasmowych i wizualizuje sygnał akustyczny w wybranych zakresach częstotliwości.
Diamond-Based Supercapacitors with Ultrahigh Cyclic Stability Through Dual-Phase MnO2-Graphitic Transformation Induced by High-Dose Mn-Ion Implantation
- Sujit Deshmukh
- Srinivasu Kunuku
- Paweł Jakóbczyk
- Adrian Olejnik
- Chien-Hsu Chen
- Huan Niu
- Bing Yang
- Nianjun Yang
- Robert Bogdanowicz
2024 Pełny tekst ADVANCED FUNCTIONAL MATERIALS
While occasionally being able to charge and dischargemore quickly than batteries, carbon-based electrochemical supercapacitors(SCs) are nevertheless limited by their simplicity of processing, adjustableporosity, and lack of electrocatalytic active sites for a range of redox reactions.Even SCs based on the most stable form of carbon (sp3carbon/diamond)have a poor energy density and inadequate capacitance retention during longcharge/discharge cycles, limiting their practical applications. To constructa SC with improved cycling stability/energy density Mn-ion implanted(high-dose; 1015–1017ions cm−2) boron doped diamond (Mn-BDD) films havebeen prepared. Mn ion implantation and post-annealing process results in anin situ graphitization (sp2phase) and growth of MnO2phase with roundishgranular grains on the BDD film, which is favorable for ion transport. The dualadvantage of bothsp2(graphitic phase) andsp3(diamond phase) carbonswith an additional pseudocapacitor (MnO2) component provides a unique andcritical function in achieving high-energy SC performance. The capacitance ofMn-BDD electrode in a redox active aqueous electrolyte (0.05 M Fe(CN)63-/4−+1MNa2SO4)isashighas51mFcm−2at 10 mV s−1with exceptionalcyclic stability (≈100% capacitance even after 10 000 charge/dischargecycles) placing it among the best-performing SCs. Furthermore, the ultrahighcapacitance retention (≈80% retention after 88 000 charge/discharge cycles)in a gel electrolyte containing a two-electrode configuration shows a promisingprospect for high-rate electrochemical capacitive energy storage applications.
Diffusion equations with spatially dependent coefficients and fractal Cauer-type networks
- Jacky Cresson
- Anna Szafrańska
2024 Fractional Calculus and Applied Analysis
In this article, we formulate and solve the representation problem for diffusion equations: giving a discretization of the Laplace transform of a diffusion equation under a space discretization over a space scale determined by an increment h > 0, can we construct a continuous in h family of Cauer ladder networks whose constitutive equations match for all h > 0 the discretization. It is proved that for a finite differences discretization over a uniform geometric space scale, the representation problem over fractal Cauer networks is possible if and only if the coefficients of the diffusion are exponential functions in the space variable. Such diffusion equations admit a (Laplace) transfer function with a fractional behavior whose exponent is explicit. This allows us to justify previous works made by Sabatier and co-workers in [15,16] and Oustaloup and co-workers [14].
Direct reduction of pellets through hydrogen: Experimental and model behaviour
- Pasquale Cavaliere
- Angelo Perrone
- Leandro Dijon
- Aleksandra Laska
- Damian Koszelow
2024 Pełny tekst INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
This paper presents the hydrogen reduction behaviour of industrial pellets designed for the efficient hydrogen based direct reduction. The pellets were provided with very low non ferrous oxides percentage (0.52 of basicity index) and with the absence on TiO2 oxides. The pellets measured diameters in the range 1.14–1.72 cm and were characterized in terms of porosity, pores size, tortuosity and compression strength. The pellets were reduced in hydrogen atmosphere in a laboratory shaft furnace in the temperature ranges of 600–1200 ◦C at the pressures of 1 and 5 bar. The pellets’ reduction behaviour was analysed in terms of time to reduction, rate of reduction and kinetics constant. All the obtained results were analysed through the employment of a commercial multiobjective optimization tool (modeFrontier) in order to precisely define the effect of each single parameter on the pellets’ reduction. It was also defined the effect of the ongoing reduction rate of the final metallization of the starting iron oxides.
Discrete element method modelling of elastic wave propagation in a meso-scale model of concrete
- Magdalena Knak
- Michał Nitka
- Magdalena Rucka
2024 Pełny tekst ULTRASONICS
This paper deals with the accurate modelling of ultrasonic wave propagation in concrete at the mesoscopic level. This was achieved through the development of a discrete element method (DEM) model capable of simulating elastic wave signals comparable to those measured experimentally. The main objective of the work was to propose a novel methodology for constructing a meso-scale model of concrete dedicated to the analysis of elastic wave propagation. All the material parameters necessary to prepare a numerical DEM model of concrete at the mesoscopic level were explored and explained. Calibration of the mechanical parameters of the DEM model to match the experimental values involved linking the local, micro-parameters between particles with the global response of the whole sample. The developed numerical model was further used to simulate the propagation of elastic waves in a cubic concrete sample, in the frequency range of 100–500 kHz. The results of the DEM calculations showed good agreement with the experimental ultrasonic signals.
Dispersive Micro‐Solid Phase Extraction of Selected Metals in Water and Food Samples Followed by ICP‐OES Analysis: Method Development, Analysis of Real Samples and Greenness Evaluation
- Muhammad Sajid
- Muhamed Kabeer
- Mazen Khaled Nazal
- Muhammad Younas
- Justyna Płotka-Wasylka
2024 ChemistrySelect
Multiwalled carbon nanotubes (MWCNTs) are well-known adsorbents because of their high surface area, layered and hollow architecture, hydrophobicity, and multiple and easily accessible adsorption sites. In this study, MWCNTs were used for dispersive micro-solid-phase extraction of various metal chelates in environmental and food samples. Different parameters such as concentration of the chelating reagent, the sorbent dosage, the extraction time, the desorption time, and the strength of the eluent were suitably optimized. Under the optimum extraction conditions, the proposed method demonstrated a good linear working range for all the analytes, with correlation coefficients above 0.9915. The limit of detection ranged from 0.02 to 0.21 μg/L. The inter-day and intra-day relative standard deviations were less than 2.5%. The proposed method was used for the determination of selected metals in tap water, drinking water, cucumber, and tomato samples. In the end, GAPI tool was used to evaluate the greenness of the method.
Diurnal variability of atmospheric water vapour, precipitation and cloud top temperature across the global tropics derived from satellite observations and GNSS technique
- Zofia Baldysz
- Grzegorz Nykiel
- Dariusz Baranowski
- Beata Latos
- Mariusz Figurski
2024 Pełny tekst CLIMATE DYNAMICS
The diurnal cycle of convection plays an important role in clouds and water vapour distribution across the global tropics. In this study, we utilize integrated moisture derived from the global navigation satellite system (GNSS), satellite precipitation estimates from TRMM and merged infrared dataset to investigate links between variability in tropospheric moisture, clouds development and precipitation at a diurnal time scale. Over 16 years of observations were analysed to estimate the diurnal cycles for 42 sites that span across the global tropics and assess the GNSS precipitable water vapour suitability in tropical moisture variability studies. Results show that the GNSS technique can be successfully used for studies related to the high-resolution temporal variability of integrated atmospheric moisture and, thus, in the analysis of multi-scale interactions and clouds development. For most of the analysed cases, GNSS integrated humidity shows one daily maximum (regardless of the season), which is related to the afternoon precipitation and cloud top temperature daily minimum. Although diurnal integrated moisture variations typically do not exceed 2 mm (usually below 5% of the daily mean value), in favourable large-scale conditions such relatively small changes can lead to the development of convective clouds and can affect precipitation distribution. Thus, GNSS technology allows reliable monitoring of tropospheric moisture variability at a diurnal time scale, which can be leveraged for improved monitoring and prediction of high-impact weather.
Diversity, Equality, and Inclusion Maturity Model: Setting New Standards in Responsible Business Education – Evidence from PRIME Reports
- Elżbieta Karwowska
- Michał Tomczak
2024 Social Responsibility Journal
Purpose Creating diverse, equal and inclusive (DEI) environments is an important and relevant area of research on corporate social responsibility (CSR). This paper aims to identify recent trends in the business schools context, as they are primary sources of ethical management innovation. The paper also aims to identify business school DEI maturity levels. Design/methodology/approach The research design is qualitative. Using thematic analysis, the authors explored all the available and relevant (19) Principal for Responsible Management Education (PRME) Champions’ reports regarding their activities in 2022 and 2023. Based on the data, the authors developed the Diversity, Equality and Inclusion Maturity Model (DEIMM) in Business Schools, including the DEI maturity scale. The scale was used to explore the recent trends in four main areas: management, teaching, research and the third mission of the business schools. Findings The most prominent theme across the dataset is gender equality. The authors also identified new practices, including Indigenous people’s inclusion and decolonisation, neurodiversity, homelessness destigmatisation, period destigmatisation and scientific disciplines’ anti-discrimination. These activities were observed at various maturity levels, fitting all levels of our maturity model. Research limitations/implications This may suggest that business schools not only emulate business trends but also are prone to create their path to diversity, equality and inclusion. Originality/value This model can provide a starting point for developing tools for assessing the DEI maturity of business schools and other organisations, i.e. indicating the stage at which a school or a company is on its path to achieving DEI maturity, which creates an important contribution to the CSR research.
Divide and not forget: Ensemble of selectively trained experts in Continual Learning
- Grzegorz Rypeść
- Sebastian Cygert
- Valeriya Khan
- Tomasz Trzciński
- Bartosz Zieliński
- Bartłomiej Twardowski
2024 Pełny tekst
Class-incremental learning is becoming more popular as it helps models widen their applicability while not forgetting what they already know. A trend in this area is to use a mixture-of-expert technique, where different models work together to solve the task. However, the experts are usually trained all at once using whole task data, which makes them all prone to forgetting and increasing computational burden. To address this limitation, we introduce a novel approach named SEED. SEED selects only one, the most optimal expert for a considered task, and uses data from this task to fine-tune only this expert. For this purpose, each expert represents each class with a Gaussian distribution, and the optimal expert is selected based on the similarity of those distributions. Consequently, SEED increases diversity and heterogeneity within the experts while maintaining the high stability of this ensemble method. The extensive experiments demonstrate that SEED achieves state-of-the-art performance in exemplar-free settings across various scenarios, showing the potential of expert diversification through data in continual learning.