2022 - Repozytorium publikacji - Politechnika Gdańska

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Corrigendum to “T1 relaxation time callibration in magnetic resonance imaging using nanodiamond phantoms” [Phys Med 94 (2022) S119–S120/EPV029]
- Monika Kosowska
- Anna Sękowska-Namiotko
- Agnieszka Sabisz
- Mateusz Ficek
- Małgorzata Szczerska
2022 PHYSICA MEDICA
The authors want to update the incorrect funding information. The correct funding note is: “The authors acknowledge the financial support from Gdańsk University of Technology by the 4/2020/IDUB/III.4.1/Tc grant under the Technetium Talent Management Grants ‘Excellence Initiative – Research University’. The financial support from Gdańsk University of Technology by the 1/2021/IDUB/II.2/Np grant under NEPTUNIUM Enhancing Baltic Region Research Cooperation is gratefully acknowledged.The DS Programs of Faculty of Electronics, Telecommunications and Informatics of Gdańsk University of Technology are acknowledged. This work has also been supported by the DS funds of Faculty of Telecommunications, Computer Science and Electrical Engineering, Bydgoszcz University of Science and Technology".
Corrosion degradation monitoring of ship stiffened plates using guided wave phase velocity and constrained convex optimization method
- Beata Zima
- Krzysztof Wołoszyk
- Yordan Garbatov
2022 Pełny tekst OCEAN ENGINEERING
The study presents an experimental investigation on the corrosion degradation level assessment using nondestructive wave-based methods. The degradation level of ship structural elements has been assessed in two different ways. The first one is based on the spectral decomposition and zero-crossing incorporated reconstruction of the dispersion curve approach of the antisymmetric Lamb wave mode and the best matching of the theoretical solution. The second approach was based on searching for a solution to the convex optimization problem. In the first case, the plate thickness is assumed to be constant and the phase velocity reconstructed curve is fitted to match the best solution in the all considered frequency domain. In the second case, the assumption about the varying plate thickness is set and the optimal thickness distribution resulting in any times of wave flight is defined.
Corrosion monitoring as a factor increasing the safety of hydrotechnical infrastructure
- Robert Mazur
- Pawel Stefanek
- Juliusz Orlikowski
2022 Pełny tekst Archives of Civil Engineering
Water distribution systems at KGHM S.A. are of great importance for the efficient production of copper and environmental protection. For failures leading to perforation and leakage, the corrosion processes are responsible. This paper aims to assess corrosion on the basis of the analysis of the exposure of the Hydrotechnical Plant pipelines. To this end, the system of transfer and deposition of post-flotation waste as well as the circulation of industrial water in the process of copper ore enrichment are described. Water sources as well as inflows and outflows in the water system are indicated; corrosion hazards are determined. Water is obtained from mines; it is often contaminated during the copper ore mining process. The chemical analysis of industrial (technological) water and sludge water resulting from the sedimentation of post-flotation waste showed a high concentration of inorganic salts which are responsible for the corrosive processes. Furthermore, tests were carried out to determine the corrosion rate. Additionally, possible methods to reduce corrosion have been proposed, i.e., a corrosion monitoring system has been described as a tool for reducing production interruptions and environmental pollution
Cost-Efficient Optical Fronthaul Architectures for 5G and Future 6G Networks
- Abdulhalim Fayad
- Tibor Cinkler
- Jacek Rak
- Balazs Sonkoly
2022
Fifth-generation and Beyond (5GB) wireless networks have introduced new centralized architectures such as cloud radio access network (CRAN), which necessitate extremely high-capacity low latency Fronthaul (FH). CRAN has many advantageous features in terms of cost reduction, performance enhancement, ease of deployment, and centralization of network management. Nevertheless, designing and deploying a cost-efficient FH is still a stumbling block against mobile network operators (MNOs) that aim to deploy 5GB in a cost-effective manner. Many technologies have been proposed as a candidate for 5GB FH. Optical networking is the best long-term solution for overcoming the connection barrier between the radio access domain and the core network of 5GB. Therefore, we focus on optical technologies such as point-to-point optical fiber (P2P), passive optical networks (PON), and free-space optics (FSO). With that in mind, we propose in this paper an integer linear program (ILP) that results in a minimal total cost of ownership (TCO) considering both capital expenditure (Capex) and operational expenditure (Opex). For the scalability issue, we propose a heuristic algorithm to solve the problem for large network instances. In order to evaluate the applicability of the proposed framework, we run the simulations to compare different FH architectures for two deployment areas (dense and sparse).
COVID‐19: A systematic review and update on prevention, diagnosis, and treatment
- Hooman Aghamirza Moghim Aliabadi
- Reza Eivazzadeh‐Keihan
- Arezoo Beig Parikhani
- Sara Fattahi Mehraban
- Ali Maleki
- Sepideh Fereshteh
- Masoume Bazaz
- Ashkan Zolriasatein
- Bahareh Bozorgnia
- Saman Rahmati
- Fatemeh Saberi
- Zeinab Yousefi Najafabadi
- Shadi Damough
- Sara Mohseni
- Hamid Salehzadeh
- Vahid Khakyzadeh
- Hamid Madanchi
- Gholam Ali Kardar
- Payam Zarrintaj
- Mohammad Saeb
- Masoud Mozafari
2022 Pełny tekst MedComm
Since the rapid onset of the COVID-19 or SARS-CoV-2 pandemic in the world in 2019, extensive studies have been conducted to unveil the behavior and emission pattern of the virus in order to determine the best ways to diagnosis of virus and thereof formulate effective drugs or vaccines to combat the disease. The emergence of novel diagnostic and therapeutic techniques considering the multiplicity of reports from one side and contradictions in assessments from the other side necessitates instantaneous updates on the progress of clinical investigations. There is also growing public anxiety from time to time mutation of COVID-19, as reflected in considerable mortality and transmission, respectively, from delta and Omicron variants. We comprehensively review and summarize different aspects of prevention, diagnosis, and treatment of COVID-19. First, biological characteristics of COVID-19 were explained from diagnosis standpoint. Thereafter, the preclinical animal models of COVID-19 were discussed to frame the symptoms and clinical effects of COVID-19 from patient to patient with treatment strategies and in-silico/computational biology. Finally, the opportunities and challenges of nanoscience/nanotechnology in identification, diagnosis, and treatment of COVID-19 were discussed. This review covers almost all SARS-CoV-2-related topics extensively to deepen the understanding of the latest achievements (last updated on January 11, 2022).
COVID-19 severity forecast based on machine learning and complete blood count data
- Barbara Klaudel
- Aleksander Obuchowski
- Roman Karski
- Bartosz Rydziński
- Patryk Jasik
- Zdzisław Kowalczuk
2022
Proper triage of COVID-19 patients is a key factor in eective case management, especially with limited and insucient resources. In this paper, we propose a machine-aided diagnostic system to predict how badly a patient with COVID-19 will develop disease. The prognosis of this type is based on the parameters of commonly used complete blood count tests, which makes it possible to obtain data from a wide range of patients.We chose the four-tier nursing care category as the outcome variable. In this paper, we compare traditional tree-based machine learning models with approaches based on neural networks. The developed tool achieves a weighted average F1 score of 73% for a three-class COVID-19 severity forecast. We show that the complete blood count test can form the basis of a convenient and easily accessible method of predicting COVID-19 severity. Of course, such a model requires meticulous validation before it is proposed for inclusion in real medical procedures.
COVID-19 severity forecast based on machine learning and complete blood count data
- Barbara Klaudel
- Aleksander Obuchowski
- Roman Karski
- Bartosz Rydziński
- Patryk Jasik
- Zdzisław Kowalczuk
2022
Proper triage of COVID-19 patients is a key factor in eective case management, especially with limited and insucient resources. In this paper, we propose a machine-aided diagnostic system to predict how badly a patient with COVID-19 will develop disease. The prognosis of this type is based on the parameters of commonly used complete blood count tests, which makes it possible to obtain data from a wide range of patients.We chose the four-tier nursing care category as the outcome variable. In this paper, we compare traditional tree-based machine learning models with approaches based on neural networks. The developed tool achieves a weighted average F1 score of 73% for a three-class COVID-19 severity forecast. We show that the complete blood count test can form the basis of a convenient and easily accessible method of predicting COVID-19 severity. Of course, such a model requires meticulous validation before it is proposed for inclusion in real medical procedures.
Crack Detection in Metallic Surfaces Based on Dumbbell-Shaped Defected Ground Structures in Microstrip Technology
- Zahra Shaterian
- Michał Mrozowski
2022 Pełny tekst
In this paper, a novel crack detection sensor using a microstrip loaded with a Dumbbell-Shaped Defected Ground Structure (DS-DGS) is proposed. The sensing element is etched in the ground plane of a microstrip line and it is easy to fabricate. The electromagnetic (EM) field of the microstrip couples to the DS-DGS, thus demonstrating a bandstop behavior. It is shown that in the presence of a crack in a metallic surface underneath the sensor, the resonance frequency of the DS-DGS is shifted. This frequency shift can be used for crack sensing in metallic surfaces. The proposed sensor exhibits a good sensitivity above 260 MHz shift for a crack with a 200 µm width at the relatively low operating frequency of around 2 GHz.
Crack Mouth Opening Displacement for EH36 Shipbuilding Steel Measurements
- Jakub Kowalski
- Janusz Kozak
2022
The dataset titled EH36 steel for shipbuilding (plate thicnkness 50mm) - CMOD - force record, a0/W = 0.6 contains CMOD (Crack Mouth Opening Displacement) - Force record which is the base for evaluation of fracture toughness of structural steel. Bend specimens witch Bx2B section (B= 50mm), and relative initial crack length a0 / W = 0.60 were used. The test was carried out at ambient temperature in accordance to ISO 12135 standard. The dataset can be useful in calibration of numerical material models which includes ductile failure. It can also be use as a reference data in comparison of toughness designated for carbon steels.
Crack Mouth Opening Displacement for EH36 Shipbuilding Steel Measurements Dataset
- Jakub Kowalski
- Janusz Kozak
2022 Pełny tekst
The dataset titled EH36 steel for shipbuilding (plate thickness 50 mm) – CMOD – force record, a0/W=0.6 contains a CMOD (Crack Mouth Opening Displacement) – Force record which is the base for evaluation of the fracture toughness of structural steel. Bend specimens with a Bx2B section (B = 50 mm), and relative initial crack length a0/W=0.60 were used. The test was carried out at ambient temperature in accordance with the ISO 12135 standard. The dataset can be useful in the calibration of numerical material models which includes ductile failure. It can also be use as reference data in the comparison of the toughness designations of carbon steels.
Creating a radiological database for automatic liver segmentation using artificial intelligence.
- Sergii Girnyi
- Tomasz Dziubich
- Adam Brzeski
- Jan Cychnerski
- Dariusz Świetlik
- Jakub Woźniak
- Weronika Szczecińska
- Janusz Jaśkiewicz
- Jacek Zielinski
2022 EJSO-EUR J SURG ONC
Imaging in medicine is an irreplaceable stage in the diagnosis and treatment of cancer. The subsequent therapeutic effect depends on the quality of the imaging tests performed. In recent years we have been observing the evolution of 2D to 3D imaging for many medical fields, including oncological surgery. The aim of the study is to present a method of selection of radiological imaging tests for learning neural networks.
Creating a Remote Choir Performance Recording Based on an Ambisonic Approach
- Bartłomiej Mróz
- Piotr Odya
- Bożena Kostek
2022 Pełny tekst Applied Sciences-Basel
The aim of this paper is three-fold. First, the basics of binaural and ambisonic techniques are briefly presented. Then, details related to audio-visual recordings of a remote performance of the Academic Choir of the Gdańsk University of Technology are shown. Due to the COVID-19 pandemic, artists had a choice, namely, to stay at home and not perform or stay at home and perform. In fact, staying at home brought in the possibility of creating and developing art at home while working online. During the first months of lock-down, the audience was satisfied with music performances that were fairly far from the typical experience of a real concert hall. Then, more advanced technology was brought to facilitate joint rehearsal and performance of better quality, including multichannel sound and spatialization. At the same time, spatial music productions benefited from the disadvantage of remote rehearsal by creating immersive experiences for the audience based on ambisonic and binaural techniques. Finally, subjective tests were prepared and performed to observe performers’ attention behavior divided between the conductor and music notation in the network-like environment. To this end, eye-tracking technology was employed. This aspect is related to the quality of experience (QoE), which in the performance area–and especially in remote mode–is essential.
Creating new voices using normalizing flows
- Piotr Biliński
- Tom Merritt
- Abdelhamid Ezzerg
- Kamil Pokora
- Sebastian Cygert
- Kayoko Yanagisawa
- Roberto Barra-Chicote
- Daniel Korzekwa
2022 Pełny tekst
Creating realistic and natural-sounding synthetic speech remains a big challenge for voice identities unseen during training. As there is growing interest in synthesizing voices of new speakers, here we investigate the ability of normalizing flows in text-to-speech (TTS) and voice conversion (VC) modes to extrapolate from speakers observed during training to create unseen speaker identities. Firstly, we create an approach for TTS and VC, and then we comprehensively evaluate our methods and baselines in terms of intelligibility, naturalness, speaker similarity, and ability to create new voices. We use both objective and subjective metrics to benchmark our techniques on 2 evaluation tasks: zero-shot and new voice speech synthesis. The goal of the former task is to measure the precision of the conversion to an unseen voice. The goal of the latter is to measure the ability to create new voices. Extensive evaluations demonstrate that the proposed approach systematically allows to obtain state-of-the-art performance in zero-shot speech synthesis and creates various new voices, unobserved in the training set. We consider this work to be the first attempt to synthesize new voices based on mel-spectrograms and normalizing flows, along with a comprehensive analysis and comparison of the TTS and VC modes.
Critical Review on Robust Speed Control Techniques for Permanent Magnet Synchronous Motor (PMSM) Speed Regulation
- Kifayat Ullah
- Jaroslaw Guzinski
- Adeel Mirza
2022 Pełny tekst ENERGIES
The permanent magnet synchronous motor (PMSM) is a highly efficient energy saving machine. Due to its simple structural characteristics, good heat radiation capability, and high efficiency, PMSMs are gradually replacing AC induction motors in many industrial applications. The PMSM has a nonlinear system and lies on parameters that differ over time with complex high-class dynamics. To achieve the excessive performance operation of a PMSM, it essentially needs a speed controller for providing accurate speed tracking, slight overshoot, and robust disturbance repulsion. Therefore, this article provides an overview of different robust control techniques for PMSMs and reviews the implementation of a speed controller. In view of the uncertainty factors, such as parameter perturbation and load disturbance, the H¥ robust control strategy is mainly reviewed based on the traditional control techniques, i.e., robust H¥ sliding mode controller (SMC), and Hinfinity robust current controller based on Hamilton–Jacobi Inequality (HJI) theory. Based on comparative analysis, this review simplifies the development trend of different control technologies used for a PMSM speed regulation system.
Cryptocurrencies as a speculative asset. How much uncertainty is included in cryptocurrency price?
- Krystian Zawadzki
- Tayyaba Ahsan
2022
The aim of this paper is to examine the relationship between uncertainty indices (Geopolitical Uncertainty Index and Global Economic Policy Uncertainty Index) and cryptocurrencies. In order to conduct research, the authors collected the data on the major cryptocurrencies (Bitcoin, Ethereum, Tether, Dogecoin and USD coin) which account for 78% of the total market cap. Using panel OLS regression, this study finds that Bitcoin and Ethereum are not a safe haven for global economic policy uncertainty, but other cryptocurrencies serve as safe hedges against this uncertainty. On the contrary, these cryptocurrencies are safe hedges against the uncertainty of geopolitical risk.
Crystal Structure of N-(2-Benzoyl-4,5-dimethoxyphenethyl)-2-phenylacetamide
- Petja Marinova
- Stoyanka Nikolova
- Anna Dołęga
- Anife Ahmedova
2022 Pełny tekst Molbank
The crystal structure of N-(2-benzoyl-4,5-dimethoxyphenethyl)-2-phenylacetamide indicates that the compound crystallizes in the monoclinic C2/c space group with eight molecules in the unit cell. The heteroatoms from the amide group form a chain of intermolecular N-H ··· O hydrogen bonds propagating along the b axis. The carbonyl group from the benzoyl substituent participates in short contacts with two H-atoms from the ethyl or phenyl groups.
CSR and innovation or CSR as non-technological innovation
- Magdalena Popowska
2022
This chapter investigates the relationship between Corporate Social Responsibility (CSR) and innovation process. There is an ongoing discussion in the literature regarding this relationship, in particular on its one- or bidirectional nature and possible antecedents or mediating factors. This research addresses this gap and aims to provide more conceptual clarity and synthesize the different types of relationships between CSR and innovation. We conducted a systematic literature review to investigate the state of art in this field. Our findings confirm the bidirectional relationship between CSR and innovation and the existence of the mediating factors in this relation. CSR itself can be also understood as non-technological innovation since it implies a myriad of possible solutions and organizational or marketing changes.
CSR at HEIs: Between Ignorance, Awareness and Knowledge
- Julita Wasilczuk
- Magdalena Popowska
2022 Pełny tekst Problemy Zarządzania
The paper focuses on CSR education in Higher Education Institutions. It analyzes current approaches to this education and the enhancements already deployed in the international perspective. The main aim is to conceptualize CSRS education forms within the context of technology-oriented HEIs and propose the model for this education. This model has also been partially verified using the cases of four technical universities. This research uses qualitative and quantitative research methods. The literature review is applied to trace HEIs’ educational and organizational CSR commitment methods. Based on this review, we proposed a model of CSRS education in HEIs. Using this model, we checked to what extent its elements are used in four technical universities from Latvia, Lithuania, Ukraine and Poland. For this purpose, educational programs at universities were analyzed. We also confronted the activity of these universities with the students’ knowledge about CSRS. The results of the survey conducted among 3,424 students from these universities contributed to elaborating on this aspect. Findings: The results confirm that students are ignorant of CSR, even those studying at business faculties. What is surprising, even those students who are business owners do not demonstrate a high level of knowledge about CSR. Universities, on the other hand, do not offer the possibility of eliminating this ignorance. Meanwhile, we believe they can do so not only through the standing-alone CSRS education but also by including CSR in other courses and by giving a good example. Due to language barriers, the submitted model was only partially verified at selected universities. We are also aware that the described situation may be one-sided as the four cases presented in this study are homogeneous, as they represent technical universities, so only one profile among a variety of universities’ profiles (technical versus humanities versus economic). Bearing in mind the current level of implementation of education in the area of CSR and the results of the research carried out, we propose a model of education that includes three pillars: a good example of a university (socially responsible university), is responsible managers education (RME) and raising awareness among students of non-business faculties (ASR). At the same time, we indicated alarge gap between the educational needs in the area of CSRS and the offer of four technical universities.
Cu supported on various oxides as a candidate catalyst for dry methane reforming in DIR-SOFCs systems
- Adrian Mizera
- Patryk Błaszczak
- Beata Bochentyn
- Radosław Lach
- Ewa Drożdż
2022 Pełny tekst INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
A series of Cu-support systems were tested as potential candidates for DIR-SOFC (Direct Internal Reforming SOFC) catalysts towards a dry reforming of methane (DRM). The various supports (-Al2O3, CeO2, ZrO2, SrTiO3) with comparable specific surface area (SSA), and additionally -Al2O3 with SSA an order of magnitude larger than that of the other supports has been applied. The obtained Cu-support systems were characterized in terms of structure (XRD, XPS), microstructure (SEM), redox properties (TPR /TPOx), and next their catalytic activity and selectivity in DRM reaction were tested. All Cu-support materials show catalytic activity in DRM reaction, but only activity of Cu-SrTiO3 is high (due to the incorporation of Cu into SrTiO3 structure). The catalytic activity of other materials depends on the copper oxidation state (Cu2+ and Cu+). The highest catalytic activity in DRM process was obtained for Cu-AlO(OH) catalyst thanks to an order of greater SSA than in the case of other systems.
Cu-Doped Layered Double Hydroxide Constructs the Performance-Enhanced Supercapacitor Via Band Gap Reduction and Defect Triggering
- Xianyu Chu
- Fanling Meng
- He Yang
- Wei Zhang
- Tingting Qin
- Zizhun Wang
- Sebastian Molin
- Piotr Jasiński
- Weitao Zheng
2022 ACS Applied Energy Materials
Layered double hydroxides (LDHs) are regarded as the excellent electrode materials for supercapacitors because of their high theoretical capacitance and abundance. However, the poor conductivity and limited reaction kinetics of LDHs restrict their practical application severely. Herein, Cu is chosen from groups VIII/IB/IIB as dopants for Co-based LDH (CuCo-LDH). The designed metal–organic framework-derived hierarchical CuCo-LDH hollow nanoarrays integrated on nickel foam are fabricated via a facile in situ hydrolysis method. Consequently, the introduction of copper significantly enhances the local electron density of cobalt-based hydroxide, which enhances electronic conductivity and facilitates the charge transfer. Copper doping induces lattice defects, providing more active sites to improve the charge storage capacity. As a result, our CuCo-LDH electrode delivers a package-enhanced pseudocapacitive performance. The as-fabricated asymmetric supercapacitor CuCo-LDH//AC provides a relatively high energy density of 22 W h kg–1 and a remarkable cycling stability (91.3% after 10,000 cycles) towards practical applications of supercapacitors.