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  • Inhibitors of glucosamine-6-phosphate synthase as potential antimicrobials or antidiabetics – synthesis and properties
    • Joanna Stefaniak
    • Michał Nowak
    • Marek Wojciechowski
    • Sławomir Milewski
    • Andrzej Skwarecki
    2022 Pełny tekst JOURNAL OF ENZYME INHIBITION AND MEDICINAL CHEMISTRY

    Glucosamine-6-phosphate synthase (GlcN-6-P synthase) is known as a promising target for antimicrobial agents and antidiabetics. Several compounds of natural or synthetic origin have been identified as inhibitors of this enzyme. This set comprises highly selective L-glutamine, amino sugar phosphate or transition state intermediate cis-enolamine analogues. Relatively low antimicrobial activity of these inhibitors, poorly penetrating microbial cell membranes, has been improved using the pro-drug approach. On the other hand, a number of heterocyclic and polycyclic compounds demonstrating antimicrobial activity have been presented as putative inhibitors of the enzyme, based on the results of molecular docking to GlcN-6-P synthase matrix. The most active compounds of this group could be considered promising leads for development of novel antimicrobial drugs or antidiabetics, provided their selective toxicity is confirmed.

  • Inline Microstrip Bandpass Filter With Two Transmission Zeros and Increased Order Using Spurious Resonance of Frequency-Dependent Inverter
    • Maciej Jasiński
    • Muhammad Yameen Sandhu
    • Adam Lamęcki
    • Roberto Gómez-García
    • Michał Mrozowski
    2022 Pełny tekst

    A design method for a class of fourth-order inline microstrip bandpass filter with two transmission zeros and 20% fractional bandwidth is presented. The filter consists of two quarter-wavelength transmission-line resonators coupled by a frequency-dependent inverter. The inverter is composed of two open-ended stubs that are connected by an interdigital capacitor and introduces two poles and two transmission zeros in the filter response. One of these poles is obtained from the spurious resonance of the capacitor, which leads to a very compact filter structure. An equivalent circuit model of the frequencydependent inverter is provided along with a detailed couplingmatrix-based synthesis procedure to design the filter prototype. The design theory is validated with a constructed 2-GHz proofof-concept prototype. Measured results are in close agreement with the synthesis and EM-simulated ones, hence verifying the devised design approach.

  • Inline Microwave Filters With N+1 Transmission Zeros Generated by Frequency-Variant Couplings: Coupling-Matrix-Based Synthesis and Design
    • Martyna Mul
    • Maciej Jasiński
    • Adam Lamęcki
    • Roberto Gómez-García
    • Michał Mrozowski
    2022 Pełny tekst IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS

    A general coupling-matrix-based synthesis methodology for inline Nth-order microwave bandpass filters (BPFs) with frequency-variant reactive-type couplings that generate N+1 transmission zeros (TZs) is presented in this brief. The proposed approach exploits the formulation of the synthesis problem as three inverse nonlinear eigenvalue problems (INEVPs) so that the coupling matrix is built from their sets of eigenvalues. For this purpose, an optimization nonlinear least-squares procedure is employed. The theoretical foundations of the engineered INEVP coupling-matrix-based synthesis framework are described. In addition, its effectiveness is verified through various synthesis examples of a third-order BPF with four TZs based on different circuit models. Moreover, as experimental validation, a 2.4-GHz microstrip prototype of the distributed-element BPF synthesis example is built and measured.

  • Innovative Bidirectional Isolated High-Power Density On-Board Charge for Vehicle-to-Grid
    • Roman Hrbáč
    • Libor Hrdina
    • Vaclav Kolar
    • Zdenek Slanina
    • Vojtech Blazek
    • Tomas Vantuch
    • Mikołaj Bartłomiejczyk
    • Stanislav Misak
    2022 Pełny tekst SENSORS

    This paper deals with developing and implementing a bidirectional galvanically isolated on-board charger of a high-power density. The power density of the new charger was 4 kW/kg and 2.46 kW/dm3, and the maximum efficiency was 96.4% at 3.4 kW. Due to the requirement to achieve a high-power density, a single-stage inverter topology was used. Regarding switching losses, due to the topology of the circuit with so-called hard switching, the switching frequency was set to 150 kHz. A laboratory prototype was built to verify the properties and operating principles of the described charger topology. The on-board charger has been tested in a microgrid test platform. Due to the parasitic properties of the transformer and other electronic components, overvoltage with subsequent oscillations occurred on the primary side of the transformer and damped resonance on its secondary side. These parasitic properties caused interference and especially voltage stress on the semiconductor elements. These undesirable phenomena have been eliminated by adding an active element to the charger topology and a new transistor control strategy. This new switching control strategy of transistors has been patented.

  • Innowacyjne zastosowanie betonu jamistego PERVIA, jako warstwy odsączającej w tunelu na węźle MPL Okęcie w Warszawie
    • Michał Kałużyński
    • Anna Banaś
    • Andrzej Kuryłowicz
    2022 Pełny tekst

    Choć beton jamisty jest stosowany w budownictwie od wielu lat, to mimo swoich wyjątkowych właściwości filtracyjnych jest często niedocenianym elementem budowlanym. Wynika to z jego niewystarczającej wytrzymałości, która spowodowana jest brakiem frakcji piaskowej. Patrząc na problem z drugiej strony, właściwe odwodnienie nawierzchni komunikacyjnych jest podstawowym zadaniem, które musi rozwiązać projektant. Szybkie odprowadzenie wody z powierzchni drogi jest niezbędne, gdyż odpowiada za prawidłową przyczepność opony do nawierzchni, a tym samym za bezpieczeństwo ruchu drogowego. W przedstawionym w niniejszej pracy tunelu, ze względu na uwarunkowania konstrukcyjne, w tym niewielką wysokość skrajni drogowej, poszukiwano rozwiązania, które będzie optymalne zarówno pod względem szybkiego odprowadzania wody, jak i zapewnienia odpowiedniej wytrzymałości i zapobiegania powstawaniu kolein w nawierzchni. Zdecydowano się na zastosowanie betonu jamistego PERVIA jako podbudowy i warstwy filtracyjnej jezdni asfaltowej. To innowacyjne rozwiązanie nie tylko rozwiązało problem przesiąkania wody przez płytę denną, ale także sprzyja odpowiedzialnej gospodarce wodnej, zwiększając poziom wód gruntowych i zachowując równowagę ekologiczną.

  • Innowacyjny system do lokalizacji zasobów dla poprawy efektywności i bezpieczeństwa w służbie zdrowia
    • Mateusz Rzymowski
    • Mateusz Groth
    • Krzysztof Nyka
    • Łukasz Kulas
    2022 Pełny tekst Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne

    Przedstawiono innowacyjne podejście do lokalizacji wewnątrzbudynkowej, które może zostać wykorzystane do podniesienia bezpieczeństwa i efektywności w służbie zdrowia. Opiera się ono na stacjach bazowych pracujących w standardzie Bluetooth Low Energy (BLE), wykorzystujących dedykowany moduł bezprzewodowy. zawierający układ scalony Nordic Semiconductor nRF5284 oraz na antenach rekonfigurowalnych, w których możliwe jest elektryczne przełączanie kierunku wiązki głównej. Zaproponowany algorytm lokalizacji umożliwia odnajdywanie nieznanych pozycji etykiet radiowych BLE, używając wyłącznie mocy sygnału odebranego bez wykonywania dodatkowych wcześniejszych kalibracji i wykorzystując tylko pojedynczą stację bazową oraz etykiety referencyjne BLE przyczepione do ścian. Pomiary wykonane w rzeczywistym środowisku wewnątrz budynku pokazują, że zaproponowane podejście z powodzeniem może zostać wykorzystane w obszarze służby zdrowia i zapewnia wyniki lokalizacji na akceptowalnym poziomie przy jednoczesnym niskim poziomie całkowitych kosztów instalacji oraz utrzymania systemu w porównaniu do komercyjnie dostępnych systemów lokalizacji.

  • In-Reactor Polypropylene Functionalization─The Influence of Catalyst Structures and Reaction Conditions on the Catalytic Performance
    • Miloud Bouyahyi
    • Lidia Jasińska-Walc
    • Rob Duchateau
    • Muhammad Naseem Akhtar
    • E. A. Jaseer
    • Rajesh Theravalappil
    • Nestor Garcia
    2022 Pełny tekst MACROMOLECULES

    To unravel the relationship between silylene-bridged metallocene catalyst structures and polymerization conditions and their effect on the performance in in-reactor functionalization of polypropylene, the behaviors of rac-Me2Si(2-Me-4-Ph-Ind)2ZrCl2/MMAO, rac-Me2Si(Ind)2ZrCl2, rac-Me2Si(2-Me-4-Ph-Ind)2HfCl2, and rac-Me2Si(Ind)2HfCl2 in propylene/aluminum alkyl-passivated 10-undecen-1-ol copolymerization were compared. Kinetic analysis revealed higher catalytic activities for zirconocenes compared to analogous hafnocenes. Both the zirconocene and hafnocene with substituted indenyl ligands afforded a higher molecular weight capability, improved stereo-selectivity, and enhanced ability to incorporate functionalized comonomers compared to their non-substituted congeners. An in-depth study of polypropylene functionalization using the best performing catalyst system, rac-Me2Si(2-Me-4-Ph-Ind)2ZrCl2/MMAO, at temperatures ranging from 40 to 100 °C, revealed a linear inversely proportional correlation of polymerization temperature with functionalized comonomer reactivity (↑Tp → ↓ r1), copolymer molecular weight (↑Tp → ↓Mn), and melting temperature (↑Tp → ↓Tm). While performing well under standard laboratory polymerization conditions, rac-Me2Si(2-Me-4-Ph-Ind)2ZrCl2/MMAO showed limited molecular weight and stereo-selectivity capabilities under high-temperature (130–150 °C) solution process conditions. Although immobilization of rac-Me2Si(2-Me-4-Ph-Ind)2ZrCl2 onto silica, allowing it to be used under industrially relevant slurry and gas-phase conditions, led to an active catalyst, it failed to incorporate any functionalized comonomer.

  • Insight into Potassium Vanadates as Visible-Light-Driven Photocatalysts: Synthesis of V(IV)-Rich Nano/Microstructures for the Photodegradation of Methylene Blue
    • Małgorzata Nadolska-Dawidowska
    • Mariusz Szkoda
    • Konrad Trzciński
    • Paweł Niedziałkowski
    • Jacek Ryl
    • Aleksandra Dorota Mielewczyk-Gryń
    • Karolina Górnicka
    • Marta Prześniak-Welenc
    2022 Pełny tekst INORGANIC CHEMISTRY

    Photocatalysis is regarded as a promising tool for wastewater remediation. In recent years, many studies have focused on investigating novel photocatalysts driven by visible light. In this study, K2V6O16·nH2O nanobelts and KV3O8 microplatelets were synthesized and investigated as photocatalysts. Samples were obtained via the facile method based on liquid-phase exfoliation with ion exchange. By changing the synthesis temperature (20–80 °C), different compositions, morphologies, and V4+/V5+ ratios were obtained and investigated as photocatalysts for organic dye degradation. Potassium vanadates’ structural, morphological, and optical properties were characterized using X-ray diffraction(XRD), Fourier transform infrared spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS), Physical Property Measurement System (PPMS), thermogravimetric analysis (TGA) with mass spectrometry (MS), N2 adsorption, scanning electron microscopy (SEM), photoluminescence (PL), and UV–vis diffuse reflectance spectroscopy (DRS). Synthesized K2V6O16·nH2O and KV3O8 showed an efficient absorption in the visible wavelength region with a narrow band gap energy of 1.80 and 1.91 eV, respectively. Their photocatalytic activity was evaluated by the degradation of methylene blue (MB) under simulated solar light illumination. The KV3O8 microplatelets exhibited the greatest photocatalytic activity, resulting in more than 90% degradation of the dye within the first 30 min. It is suggested that the observed excellent photocatalytic performance is attributed to the high content of V4+ species. Furthermore, the influence of active species was investigated, and the mechanism responsible for the photodegradation of the MB dye was discussed for the first time for potassium vanadates.

  • Insights into Stoichiometry Adjustments Governing the Performance of Flexible Foamed Polyurethane/Ground Tire Rubber Composites
    • Adam Olszewski
    • Paulina Kosmela
    • Wiktoria Żukowska
    • Paweł Wojtasz
    • Mariusz Szczepański
    • Mateusz Barczewski
    • Łukasz Zedler
    • Krzysztof Formela
    • Aleksander Hejna
    2022 Pełny tekst Polymers

    Polyurethanes (PU) are widely applied in the industry due to their tunable performance adjusted by changes in the isocyanate index—stoichiometric balance between isocyanate and hydroxyl groups. This balance is affected by the incorporation of modifiers of fillers into the PU matrix and is especially crucial for PU foams due to the additional role of isocyanates—foaming of the material. Despite the awareness of the issue underlined in research works, the contribution of additives into formulations is often omitted, adversely impacting foams’ performance. Herein, flexible foamed PU/ground tire rubber (GTR) composites containing 12 different types of modified GTR particles differing by hydroxyl value (LOH) (from 45.05 to 88.49 mg KOH/g) were prepared. The impact of GTR functionalities on the mechanical, thermomechanical, and thermal performance of composites prepared with and without considering the LOH of fillers was assessed. Formulation adjustments induced changes in tensile strength (92–218% of the initial value), elongation at break (78–100%), tensile toughness (100–185%), compressive strength (156–343%), and compressive toughness (166–310%) proportional to the shift of glass transition temperatures (3.4–12.3 °C) caused by the additional isocyanates’ reactions yielding structure stiffening. On the other hand, formulation adjustments reduced composites’ thermal degradation onset due to the inferior thermal stability of hard segments compared to soft segments. Generally, changes in the composites’ performance resulting from formulation adjustments were proportional to the hydroxyl values of GTR, justifying the applied approach.

  • Insights into the microbial community of treated wastewater, its year-round variability and impact on the receiver, using cultivation, microscopy and amplicon-based methods
    • Agnieszka Kalinowska
    • Mattia Pierpaoli
    • Katarzyna Jankowska
    • Sylwia Fudala-Książek
    • Anna Remiszewska-Skwarek
    • Aneta Łuczkiewicz
    2022 Pełny tekst SCIENCE OF THE TOTAL ENVIRONMENT

    Apart from chemical constituents, wastewater treatment plant (WWTP) effluents also release microorganisms that can be important to the receiving water bodies either from a sanitary point of view, or taking to the account the biogeochemical potential of the recipients. However, little is known about the treated wastewater microbial community, its composition, seasonal changes, functions and fate in the waters of the receiver. Thus, this study presents a synergistic approach coupling new and traditional methods: analytical chemistry, classical microbiology (cultivation- and microscopy-based methods), as well as Next Generation Sequencing and a quantitative real-time polymerase chain reaction (qPCR). The results show that in terms of bacterial community composition, treated wastewater differed from the environmental samples, irrespectively if they were related or unrelated to the WWTP effluent discharge. The canonical correspondence analysis (CCA) taking into account chemical parameters and taxonomical biodiversity indirectly confirmed the seasonal deterioration of the treated wastewater quality as a result of temperature-driven change of activated sludge community structure and biomass washout (observed also by DAPI staining). Despite seasonal fluctuations of total suspended solids and inter-related parameters (such as COD, BOD, TN, TP), the treated wastewater quality remained within current discharge limits. It was due to treatment processes intensively adjusted by WWTP operators, particularly those necessary to maintain an appropriate rate of autotrophic processes of nitrification and to support biological phosphorus removal. This can explain the observed microbiome composition similarity among WWTP effluents at high taxonomic levels. Obtained data also suggest that besides wastewater treatment efficiency, WWTP effluents are still sources of both human-related microorganisms as well as bacteria equipped in genes involved in N-cycling. Their potential of participation in nutrients cycling in the receivers is widely unknown and require critical attention and better understanding.

  • Integrated Functional Safety and Cybersecurity Evaluation in a Framework for Business Continuity Management
    • Kazimierz Kosmowski
    • Emilian Piesik
    • Jan Piesik
    • Marcin Śliwiński
    2022 Pełny tekst ENERGIES

    This article outlines an integrated functional safety and cybersecurity evaluation approach within a framework for business continuity management (BCM) in energy companies, including those using Industry 4.0 business and technical solutions. In such companies, information and communication technology (ICT), and industrial automation and control system (IACS) play important roles. Using advanced technologies in modern manufacturing systems and process plants can, however, create management impediments due to the openness of these technologies to external systems and networks via various communication channels. This makes company assets and resources potentially vulnerable to risks, e.g., due to cyber-attacks. In the BCM-oriented approach proposed here, both preventive and recovery activities are considered in light of engineering best practices and selected international standards, reports, and domain publications.

  • Integrated Three-Level Dual-Phase Inverter
    • Charles Odeh
    • Arkadiusz Lewicki
    • Marcin Morawiec
    • Andrzej Jąderko
    2022 Pełny tekst ENERGIES

    In view of reducing the number of inverter legs that provide dual-phase, three-level output voltages (as may be needed in an uninterruptible power supply), and that also provide a wide range of output frequencies (as needed in an advanced motor drive system with wide speed ranges), a three-level, dual-phase inverter topology is presented in this paper. Its three-level attribute was based on the F-type inverter topological concept, and its dual-output feature was based on the common representation of the inverter-leg concept. The proposed inverter could deliver single- and three-phase voltages to corresponding one- and three-phase loads, in common or different frequency modes of operation. A boundary between these modes of operation was established for the proposed inverter. An additional possibility of either operation in the one-phase or the three-phase system was offered by the inverter configuration. A modified carrier-based sinusoidal pulse-width modulation scheme is presented for the control of the inverter topology. The performances of the dual-phase inverter are given in the simulation results and demonstrated with a hardware prototype.

  • Integrating conventional nitrogen removal with anammox in wastewater treatment systems: Microbial metabolism, sustainability and challenges
    • Hussein Al-Hazmi
    • Gamal K.hassan
    • Mojtaba Maktabifard
    • Dominika Derwis
    • Joanna Majtacz
    • Jacek Mąkinia
    2022 ENVIRONMENTAL RESEARCH

    The various forms of nitrogen (N), including ammonium (NH4+), nitrite (NO2−), and nitrate (NO3−), present in wastewaters can create critical biotic stress and can lead to hazardous phenomena that cause imbalances in biological diversity. Thus, biological nitrogen removal (BNR) from wastewaters is considered to be imperatively urgent. Therefore, anammox-based systems, i.e. partial nitrification and anaerobic ammonium oxidation (PN/anammox) and partial denitrification and anammox (PD/anammox) have been universally acknowledged to consider as alternatives, promising and cost-effective technologies for sustainable N removal from wastewaters compared to nitrification-denitrification processes. This review comprehensively presents and discusses the latest advances in BNR technologies, including traditional nitrification-denitrification and anammox-based systems. To a deep understanding of a better-controlled combining anammox with traditional processes, the microbial community diversity and metabolism, as well as, biomass morphological characteristics were clearly reviewed in the anammox-based systems. Explaining simultaneous microbial competition and control of crucial operation parameters in single-stage anammox-based processes in terms of optimization and economic benefits makes this contribution a different vision from available review papers. The most important sustainability indicators, including global warming potential (GWP), carbon footprint (CF) and energy behaviours were explored to evaluate the sustainability of BNR processes in wastewater treatment. Additionally, the challenges and solutions for BNR processes are extensively discussed. In summary, this review helps facilitate a critical understanding of N removal technologies. It is confirmed that sustainability and saving energy would be achieved by anammox-based systems, thereby could be encouraged future outcomes for a sustainable N removal economy.

  • Integration Data Model of the Bathymetric Monitoring System for Shallow Waterbodies Using UAV and USV Platforms
    • Oktawia Lewicka
    • Mariusz Specht
    • Andrzej Stateczny
    • Cezary Specht
    • Gino Dardanelli
    • David Brčić
    • Bartosz Szostak
    • Armin Halicki
    • Marcin Stateczny
    • Szymon Widźgowski
    2022 Pełny tekst Remote Sensing

    Changes in the seafloor relief are particularly noticeable in shallow waterbodies (at depths up to several metres), where they are of significance for human safety and environmental protection, as well as for which the highest measurement accuracy is required. The aim of this publication is to present the integration data model of the bathymetric monitoring system for shallow waterbodies using Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicles (USV). As part of this model, three technology components will be created: a hydroacoustic and optoelectronic data integration component proposed by Dąbrowski et al., a radiometric depth determination component based on optoelectronic data using the Support Vector Regression (SVR) method, and a coastline extraction component proposed by Xu et al. Thanks to them, it will be possible to cover the entire area with measurements in the coastal zone, in particular between the shallow waterbody coastline and the min. isobath recorded by the echo sounder (the area is lacking actual measurement data). Multisensor data fusion obtained using Global Navigation Satellite System (GNSS)/Inertial Navigation System (INS), Light Detection And Ranging (LiDAR), Real Time Kinematic (RTK), UAV, and USV will allow to meet the requirements provided for the International Hydrographic Organization (IHO) Special Order (horizontal position error ≤ 2 m (p = 0.95), vertical position error ≤ 0.25 m (p = 0.95)). To this end, bathymetric and photogrammetric measurements shall be carried out under appropriate conditions. The water transparency in the tested waterbody should be at least 2 m. Hydrographic surveys shall be performed in windless weather and the water level is 0 in the Douglas sea scale (no waves or sea currents). However, the mission with the use of an UAV should take place in appropriate meteorological conditions, i.e., no precipitation, windless weather (wind speed not exceeding 6–7 m/s), sunny day.

  • Integration of antifouling properties into epoxy coatings: a review
    • P. Poornima Vijayan
    • Krzysztof Formela
    • Mohammad Saeb
    • P. G. Chithra
    • Sabu Thomas
    2022 Journal of Coatings Technology and Research

    he need for nontoxic antifouling coatings has encouraged material scientists to develop a class of organic coatings for diverse applications. As a versatile thermosetting resin and well known for coating application, antifouling characteristics have been integrated into epoxy along with anticorrosion and adhesive functions. Accordingly, both micro- and macro-biofoulings have been successfully controlled by using epoxy-based antifouling coatings. Epoxy nanocomposites, silicon-grafted epoxy, epoxy-aided conductive polymer blends, and nanocomposites are important antifouling epoxy variants far and wide examined in developing epoxy-based coatings. Besides, some purpose-specific multifunctional smart coatings based on epoxy with antifouling features are used to integrate several functions into one material. This review discusses various types of epoxy-based antifouling coatings. The ability of nanomaterials, siloxanes, and conducting polymers to induce antifouling activity into the epoxy and corresponding antifouling mechanisms is also covered. The review concludes with the enormous potential of antifouling epoxy coatings as cost-effective, environmentally sustainable solution to biofouling in diverse industrial applications. Finally, the future ahead of antifouling epoxy coating is patterned.

  • Inteligentne rozwiązania z zakresu post-processingu dla drukowanych elementów
    • Dawid Zieliński
    2022 Pełny tekst Tworzywa Sztuczne w Przemyśle

    Coraz większe zainteresowanie i wykorzystywanie drukowanych elementów w różnych gałęziach przemysłu wiąże się ze stosowaniem odpowiednich metod ich obróbki wykańczającej tzw. post-processing. Tego typu metody służą zazwyczaj poprawie ogólnego wyglądu wydruków, a także ich właściwości mechanicznych i eksploatacyjnych. Celem niniejszego artykułu jest zaprezentowanie wybranych i nowoczesnych rozwiązań z zakresu post-processingu na przykładzie zaawanasowanych urządzeń firmy Addiblast by FerroECOBlast, których produkty są również oferowane przez firmę BIBUS MENOS Sp. z o.o.

  • Inteligentne zarządzanie usługami chmurowymi
    • Henryk Krawczyk
    • Piotr Orzechowski
    2022

    Rozwój chmur obliczeniowych stanowi wyzwanie dla nowych efektywnych metod zarządzania zasobami chmurowymi, zwłaszcza, że oprócz usług typu SaaS rozwija się nowe kategorie usług jak obliczenia brzegowe czy wielochmurowe. W pracy zaproponowano ogólny model zarządzania usługami oraz efektywne procedury alokacji zasobów. Podkreślono potrzebę oszacowania parametrów zasobów chmury by zapewnić wykonanie żądanych usług. Przedstawiono również przykładowe rozwiązanie bazujące na sztucznej inteligencji, wdrożone w chmurze TASKcloud rozwijanej w CI TASK.

  • Intelligence Augmentation and Amplification: Approaches, Tools, and Case Studies
    • Edward Szczerbicki
    • Ngoc-Thanh Nguyen
    2022 Pełny tekst CYBERNETICS AND SYSTEMS

    Most experts agree that truly intelligent artificial system is yet to be developed. The main issue that still remains a challenge is imposing trust and explainability into such systems. However, is full replication of human intelligence really desirable key aim in intelligence related technology and research? This is where the concept of augmented intelligence comes into play. It is an alternative conceptualization of artificial intelligence (AI) that focuses on AI's assistive role, emphasizing the fact that cognitive technology is designed to enhance human intelligence rather 2 than simply replacing it. Visionaries believe that one of the most promising potentials for intelligence augmentation is the creation of a hybrid biological and non-biological thinking as a way to “supercharge” the human brain.

  • Intelligent Audio Signal Processing − Do We Still Need Annotated Datasets?
    • Bożena Kostek
    2022 Pełny tekst

    In this paper, intelligent audio signal processing examples are shortly described. The focus is, however, on the machine learning approach and datasets needed, especially for deep learning models. Years of intense research produced many important results in this area; however, the goal of fully intelligent signal processing, characterized by its autonomous acting, is not yet achieved. Therefore, a review of state-of-the-art concerning this area is given. The aspect of showing the importance of acquiring an appropriate dataset containing audio samples dedicated to the task is also shown. The paper starts with samples of audio-related datasets resulting from the search engine inquiry. Then, examples of research studies along with results are given. Also, several works carried out by the author and her collaborators are presented. Some thoughts on future work are included with answering a question of whether annotated datasets are still needed.

  • Intelligent Decision Forest Models for Customer Churn Prediction
    • Fatimah E. Usman-Hamzah
    • Abdullateef O. Balogun
    • Luiz Fernando Capretz
    • Hammed Mojeed
    • Saipunidzam Mahamad
    • Shakirat A. Salihu
    • Abimbola G. Akintola
    • Shuib Basri
    • Ramoni Tirimisiyu Amosa
    • Nasiru Kehinde Salahdeen
    2022 Pełny tekst Applied Sciences-Basel

    Customer churn is a critical issue impacting enterprises and organizations, particularly in the emerging and highly competitive telecommunications industry. It is important to researchers and industry analysts interested in projecting customer behavior to separate churn from non‐churn consumers. The fundamental incentive is a firm’s intent desire to keep current consumers, along with the exorbitant expense of gaining new ones. Many solutions have been developed to address customer churn prediction (CCP), such as rule‐based and machine learning (ML) solutions. However, the issue of scalability and robustness of rule‐based customer churn solutions is a critical drawback, while the imbalanced nature of churn datasets has a detrimental impact on the prediction efficacy of conventional ML techniques in CCP. As a result, in this study, we developed intelligent decision forest (DF) models for CCP in telecommunication. Specifically, we investigated the prediction performances of the logistic model tree (LMT), random forest (RF), and Functional Trees (FT) as DF models and enhanced DF (LMT, RF, and FT) models based on weighted soft voting and weighted stacking methods. Extensive experimentation was performed to ascertain the efficacy of the suggested DF models utilizing publicly accessible benchmark telecom CCP datasets. The suggested DF models efficiently distinguish churn from non‐churn consumers in the presence of the class imbalance problem. In addition, when compared to baseline and existing ML‐based CCP methods, comparative findings showed that the proposed DF models provided superior prediction performances and optimal solutions for CCP in the telecom industry. Hence, the development and deployment of DF‐based models for CCP and applicable ML tasks are recommended.