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Rok 2024
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Optical method supported by machine learning for dynamics of C‐reactive protein concentrations changes detection in biological matrix samples
PublikacjaIn this article we present the novel spectroscopy method supported with machine learning for real-time detection of infectious agents in wastewater. In the case of infectious diseases, wastewater monitoring can be used to detect the presence of inflammation biomarkers, such as the proposed C-reactive protein, for monitoring inflammatory conditions and mass screening during epidemics for early detection in communities of concern,...
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Optimization of Microwave Components Using Machine Learning and Rapid Sensitivity Analysis
PublikacjaRecent years have witnessed a tremendous popularity growth of optimization methods in high-frequency electronics, including microwave design. With the increasing complexity of passive microwave components, meticulous tuning of their geometry parameters has become imperative to fulfill demands imposed by the diverse application areas. More and more often, achieving the best possible performance requires global optimization. Unfortunately,...
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Optimizing Ni–Cr patterned boron-doped diamond band electrodes: Doping effects on electrochemical efficiency and posaconazole sensing performance
PublikacjaThere is growing interest in developing diamond electrodes with defined geometries such as, for example, micrometer-sized electrode arrays to acquire signals for electroanalysis. For electroanalytical sensing applications, it is essential to achieve precise conductive patterns on the insulating surface. This work provides a novel approach to boron-doped diamond patterning using nichrome masking for selective seeding on an oxidized...
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Organizational ethics and position relationship moderators among knowledge workers: a regional study of Poland
PublikacjaThis research explores organizational ethics among knowledge workers using ICT4Ds in regional enterprises in Poland before, during, and after the COVID-19 pandemic. The study addresses the importance of understanding how ethics in organizations, particularly ethical optimism, corporate social responsibility, and top management action, have evolved across these periods. This topic is crucial as organizational ethics influence employee...
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Origami Antennas for Wireless Communication Systems
PublikacjaThis book discusses the lightweight, reconfigurable, and deployable origami antennas for adaptive communication systems. Traditional antennas, with their fixed characteristics, struggle to meet the evolving needs of modern communication systems. Reconfigurable antennas, on the other hand, can dynamically adjust their operating parameters, offering significant advantages in terms of performance, size, and cost. Origami technology...
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Overcoming Phobias: Harnessing the Power of Immersive Virtual Reality Therapy
PublikacjaThe goal of the chapter was to review the different therapeutic techniques used in the treatment of various forms of phobias, with particular emphasis on virtual reality treatment. We define different types of phobias, including social ones. We also describe treatment techniques – adopted from behavioral therapy – which have been developed to aid the treatment of phobias. Particular emphasis has been placed on the flooding, implosive...
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Oxidation kinetics and electrical properties of oxide scales formed under exposure to air and Ar–H2-H2O atmospheres on the Crofer 22 H ferritic steel for high-temperature applications such as interconnects in solid oxide cell stacks
PublikacjaA 100 h isothermal oxidation kinetics study for Crofer 22H was conducted in air and the Ar–H2-H2O gas mixture (p(H2)/p(H2O) = 94/6) in the range of 973–1123 K. The parabolic rate constant was independent of oxygen partial pressure in the range from 6.2 × 10−24 to 0.21 atm at 1023 and 1073 K, while at 973 and 1123 K it was higher in air than in Ar–H2-H2O. The scales consisted of Cr2O3 and manganese chromium spinel with an Mn:Cr...
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People’s Influence on Indoor Body Area Networks Channel Characteristics
PublikacjaThe influence of people’s presence on wideband off-body channel characteristics is presented in this paper. This research is significant for the development of Body Area Networks, as a promising solution for 5G and 6G networks, namely as an emerging technology expected to revolutionize mobile healthcare via real-time monitoring and analysis of medical data. The analysis is based on power delay profile measurements performed in...
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Performance and Energy Aware Training of a Deep Neural Network in a Multi-GPU Environment with Power Capping
PublikacjaIn this paper we demonstrate that it is possible to obtain considerable improvement of performance and energy aware metrics for training of deep neural networks using a modern parallel multi-GPU system, by enforcing selected, non-default power caps on the GPUs. We measure the power and energy consumption of the whole node using a professional, certified hardware power meter. For a high performance workstation with 8 GPUs, we were...
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Performance Comparison of Automatically Generated Topologically Agnostic Patch Antennas
PublikacjaReal-world antenna design typically relies on empirical methods, where the development starts with structure synthesis followed by its iterative adjustments to achieve the desired performance. Although the outlined approach proved to be successful, it is also dependent on engineering experience. Alternatively, development can be performed automatically based on the specifications. In this work, an unsupervised design of topologically...
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Performance of low-power underwater modem for shallow water communications
PublikacjaThe low-power underwater acoustic modem is usually an important component of the Underwater Wireless Sensor Network (UWSN). Network nodes have predetermined energy resources that will not be replenished during the life of the node. In shallow waters, multipath propagation is constantly occurring and for the modem to work effectively, solutions to overcome them must be used, which will also meet the important criterion of energy...
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Performance of the Direct Sequence Spread Spectrum Underwater Acoustic Communication System with Differential Detection in Strong Multipath Propagation Conditions
PublikacjaThe underwater acoustic communication (UAC) operating in very shallow-water should ensure reliable transmission in conditions of strong multipath propagation, significantly disturbing the received signal. One of the techniques to achieve this goal is the direct sequence spread spectrum (DSSS) technique, which consists in binary phase shift keying (BPSK) according to a pseudo-random spreading sequence. This paper describes the DSSS...
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Performance of underwater data transmission using incoherent modulation MFSK in very shallow waters
PublikacjaEnsuring universal and stable underwater communication in shallow waters for various environmental conditions is a difficult scientific and engineering task. In particular, this applies to underwater communication systems that use acoustic waves in very shallow underwater channels, where multipath propagation permanently occurs. The article provides assumptions for a system working with incoherent M-ary Frequency Shift Keying (MFSK)...
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Perspectives of Fluctuation-Enhanced Gas Sensing by Two-Dimensional Materials
PublikacjaWe present the results of gas sensing using the fluctuation-enhanced sensing method in selected two-dimensional materials (2DMs). We claim that gas sensing selectivity can be improved further by considering semiconducting two-dimensional materials doped by noble metal nanoparticles. The 2DMs' structures exhibit some imperfections defined by their structure, occurring repeatedly there. These imperfections are adsorption-desorption...
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Pinquark Warehouse Management System (WMS): Moving from process-based to activity-oriented management
PublikacjaSince the release of the first warehouse management system (WMS), these systems have been systematically developed and improved to optimize warehouse operations, including inventory management, order fulfillment, receiving, picking, packing, and shipping. Among the many well-documented and well-known WMS systems, there are other systems with a similar level of maturity and comparable functionality, but not as popular, but still...
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Politechnika Gdańska z prywatną siecią 5G i zespołem specjalizowanych laboratoriów badawczych
PublikacjaW artykule przedstawiono pierwszą część opisu laboratorium (a właściwie zespołu laboratoriów) sieci 5G, otwartego w ostatnim okresie na Wydziale ETI Politechniki Gdańskiej. W części tej zawarto wybrane cechy technologii 5G, a także podstawowe założenia i możliwości oferowane przez nowoutworzone laboratorium. Laboratorium jest efektem kilkuletnich prac związanych z realizacją projektu PL-5G: „Krajowe laboratorium sieci i usług 5G...
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Politechnika Gdańska z prywatną siecią 5G i zespołem specjalizowanych laboratoriów badawczych Część II: Opis wyposażenia laboratoriów, oferowanych usług oraz zasad ich udostępniania
PublikacjaOgólne założenia projektu PL-5G: „Krajowe laboratorium sieci i usług 5G wraz z otoczeniem”, złożony proces uzyskania jego finansowania, jak również wybrane cechy funkcjonalne sieci piątej generacji (5G) zostały zaprezentowane w „Piśmie PG” nr 3/2024. W II części artykułu przedstawiono infrastrukturę badawczą zaprojektowaną i zrealizowaną przez zespół wykonawców z WETI PG, a także wybrane usługi i możliwości oferowane przez poszczególne...
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Pomiar parametrów czasowych wybranych mikrosystemów operacyjnych czasu rzeczywistego
PublikacjaW artykule przedstawiono porównanie czterech mikrosystemów operacyjnych czasu rzeczywistego: FreeRTOS, μC/OSIII, Nuttx i Zephyr Project pod kątem wybranych parametrów czasowych dla czterech platform uruchomieniowych opartych na mikrokontrolerach STMicroelectronics: NUCLEOL073RZ, NUCLEOF103RB, NUCLEOF411CE i NUCLEOH743ZI. Opracowana metoda pomiaru i zaproponowane scenariusze testowe umożliwiają ocenę parametrów czasowych mikrosystemów...
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Pomiarowa weryfikacja efektywności pracy asynchronicznej metody jednoczesnej estymacji położenia i orientacji obiektu
PublikacjaW referacie opisano wyniki pomiarowej weryfikacji efektywności pracy asynchronicznej metody lokalizowania obiektu na płaszczyźnie za pomocą sygnałów lokalizacyjnych wysyłanych jednocześnie z dwóch nadajników umieszczonych na tym obiekcie w znanej odległości od siebie.
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Potyczki algorytmiczne, czyli Alicja i Bogdan w nowych sytuacjach
PublikacjaW kolejnym odcinku serii z Alicją i Bogdanem najpierw ilustrujemy problem dominowania w grafach (kratowych): klasyczny i rzymski. Następnie ilustrujemy znany fakt, że zachłanność nie zawsze się opłaca. Pokażemy mianowicie, że algorytmy zachłanne nie gwarantują uzyskania rozwiązania optymalnego, nawet wówczas gdy problem da się rozwiązać w czasie wielomianowym.
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Potyczki algorytmiczne, czyli Alicja i Bogdan w nowych sytuacjach. 6. Alicja i Bogdan na działce
PublikacjaEsej ilustruje dwa problemy optymalizacyjne. Pierwszy to dominowanie w grafach (kratowych): klasyczne i rzymskie. Drugi problem to pokrycie wierzchołkowe w grafach 2-dzielnych. W szczególności pokazujemy, że algorytmy zachłanne nie gwarantują uzyskania rozwiązania optymalnego, nawet wówczas gdy problem da się rozwiązać w czasie wielomianowym.
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Potyczki algorytmiczne, czyli Alicja i Bogdan w nowych sytuacjach. 7. Alicja i Bogdan na wczasach
PublikacjaW eseju zilustrowano dwa pojęcia. Pierwsze to algorytm online. Drugie to przeszukiwanie wykładnicze w nieznanych przestrzeniach.
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Potyczki algorytmiczne, czyli Alicja i Bogdan w nowych sytuacjach. 8. Alicja i Bogdan zostają deweloperami
PublikacjaW eseju zilustrowano 2 problemy optymalizacyjne. Pierwszy to tzw. drzewo Steinera na płaszczyźnie. Drugi to tzw. Art Galery Problem.
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Potyczki algorytmiczne, czyli Alicja i Bogdan w nowych sytuacjach. 9. Bogdan w więzieniu
PublikacjaJest to ostatni esej w serii Potyczki algorytmiczne. Poświęcony jest on pewnym problemom kombinatorycznym związanym z logiką i teorią grup.
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Power Consumption Optimization in 5G/6G mmWave Networks with User Multi-Connectivity
PublikacjaIn the fifth generation (5G) and the upcoming sixth generation (6G) millimeter wave (mmWave) networks, the recent emerging ultra-reliable low-latency (URLLC) applications such as telemedicine and self-driven vehicles require strict availability and reliability requirements. Using user multi-connectivity (i.e., connecting each user to multiple base stations (BSs) simultaneously) has emerged as an efficient solution for providing...
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Practical Trial for Low-Energy Effective Jamming on Private Networks With 5G-NR and NB-IoT Radio Interfaces
PublikacjaFourth-generation (4G) mobile networks are successively replaced by fifth-generation (5G) ones, based on the new releases of the 3rd Generation Partnership Project (3GPP) standard. 5G generation is dedicated to civilian users and the conducted analytical work shows that it has numerous technological gaps that prevent its direct implementation in military communications systems. However, the recent armed world conflicts showed that...
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Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data
PublikacjaThis paper describes a research study that investigates the use of machine learning algorithms on synthetic data to classify the risk of developing preeclampsia by pregnant women. Synthetic datasets were generated based on parameter distributions from three real patient studies. Four models were compared: XGBoost, Support Vector Machine (SVM), Random Forest, and Explainable Boosting Machines (EBM). The study found that the XGBoost...
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Pre-oxidation of porous ferritic Fe22Cr alloys for lifespan extension at high-temperature
PublikacjaPre-oxidation of porous ferritic Fe22Cr alloys was extensively studied in this paper. Weight gain measurements and SEM analysis revealed that pre-oxidation performed at 900◦C for 40 min increased the lifespan of the alloy. A Cr evaporation study did not disclose any significant influence of the pre-oxidation process on the Cr content in the alloy. For a more detailed assessment, TEM imaging and X-ray tomography measurements of...
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Preparation of MnCo2O4 and Mn1.7CuFe0.3O4 single-layer, and novel MnCo2O4/ Mn1.7CuFe0.3O4 dual-layer spinel protective coatings on complex-shaped metallic interconnects by EPD method
PublikacjaCeramic protective coatings applied to metallic interconnects play a vital role in solid oxide cells (SOCs) preventing interconnect degradation. In this study, uniform, dense, and crack-free single-layer coatings of MnCo2O4, Mn1.7CuFe0.3O4, and dual-layer coatings of MnCo2O4/ Mn1.7CuFe0.3O4 spinel are deposited onto complex-shaped metallic interconnect using electrophoretic deposition (EPD) method. The porosity of sintered MnCo2O4...
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Pulse Transit Time - Fiducial Points Accuracy Determination as Examined by Means of Synthetic Signals
PublikacjaThere are many approaches to non-invasively deter-mine blood pressure. Among them there are methods based on utilizing pulse transit time measured by means of photoplethys-mography. The variability of the blood pressure drop between two measurement sensors placed along the artery and its dependence on the selected parameters describing the cardiovascular system is presented in the paper. This pressure drop modifies the pressure...
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Quantum strategies for rendezvous and domination tasks on graphs with mobile agents
PublikacjaThis paper explores the application of quantum nonlocality, a renowned and unique phenomenon acknowledged as a valuable resource. Focusing on an alternative application, we demonstrate its quantum advantage for mobile agents engaged in specific distributed tasks without communication. The research addresses the significant challenge of rendezvous on graphs and introduces a distributed task for mobile agents grounded in the graph...
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Quantum-assisted rendezvous on graphs: explicit algorithms and quantum computer simulations
PublikacjaWe study quantum advantage in one-step rendezvous games on simple graphs analytically, numerically, and using noisy intermediate-scale quantum (NISQ) processors. Our protocols realise the recently discovered (Mironowicz 2023 New J. Phys. 25 013023) optimal bounds for small cycle graphs and cubic graphs. In the case of cycle graphs, we generalise the protocols to arbitrary graph size. The NISQ processor experiments realise the expected...
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Question Answering System to Answer Questions About Technical Documentation
PublikacjaThis article ventures into the realm of specialized AI systems for question answering, with a specific focus on programming languages, using Rust as the case study. Our research harnesses the capabilities of BERT, a leading model in natural language processing, to explore its effectiveness in interpreting and responding to complex, domain-specific queries. We have developed a novel dataset, derived from Rust's detailed documentation,...
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Raman Scattering versus Strain Engineering in Phosphorene Nanostructures: An Ab Initio Studies
PublikacjaThe one-dimensional nanoribbons made from phosphorene are novel structures with great applicability potential in material science. The significant carrier mobility combined with intrinsic semiconductor properties makes them ideal for application in electronics, and they are excellent candidates for sensing material. The lack of a well–established multiscale modelling strategy for phosphorene nano optoelectronic devices is one of...
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Rapid Surrogate-Aided Multi-Criterial Optimization of Compact Microwave Passives Employing Machine Learning and ANNs
PublikacjaThis article introduces an innovative method for achieving low-cost and reliable multi-objective optimization (MO) of microwave passive circuits. The technique capitalizes on the attributes of surrogate models, specifically artificial neural networks (ANNs), and multi-resolution electromagnetic (EM) analysis. We integrate the search process into a machine learning (ML) framework, where each iteration produces multiple infill points...
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REALIZACJA PRÓBNIKA SYSTEMU REJESTROWANIA I MONITOROWANIA PARAMETRÓW JAKOŚCIOWYCH STOSUJĄCEGO STANDARD IPFIX
PublikacjaNadzór parametrów jakościowych w sieci z protokołem IP jest jedną z ważniejszych funkcji jaką musi dysponować Operator sieci telekomunikacyjnej. W pracy przedstawiono koncepcję systemu rejestracji i monitorowania przeznaczonego do realizacji tego celu. Jest to rozwiązanie pasywne stosujące rozszerzenie standardu IPFIX, które określono mianem SIPFIX. Opisano praktyczną realizację i wyniki testów Próbnika, jednego z podstawowych...
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Real-Time Sensor-Based Human Activity Recognition for eFitness and eHealth Platforms
PublikacjaHuman Activity Recognition (HAR) plays an important role in the automation of various tasks related to activity tracking in such areas as healthcare and eldercare (telerehabilitation, telemonitoring), security, ergonomics, entertainment (fitness, sports promotion, human–computer interaction, video games), and intelligent environments. This paper tackles the problem of real-time recognition and repetition counting of 12 types of...
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Real-Time Skin Quality Assessment System
PublikacjaThis thesis presents a real-time skin assessment system with the main aim of detecting inflammatory acne lesions and tracking skin conditions. A facial acne lesion detection algorithm was developed, using a pre-trained YOLOv8 model for lesion detection and a Mediapipe detector for face detection. The proposed solution aims to create a system used in smart mirrors to help users self-monitor and monitor their skin condition in real...
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Reconfigurable Antennas for Trustable Things
PublikacjaIn modern applications, the Internet of Things plays a significant role in increasing the productivity, effectiveness or safety and security of people and assets. Additionally, the reliability of Internet of Things components is crucial from the application point of view, where a resilient and low-latency network is needed. This can be achieved by utilizing reconfigurable antennas to enhance the capabilities of the wireless sensor...
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Recycled rubber wastes-based polymer composites with flame retardancy and electrical conductivity: Rational design, modeling and optimization
PublikacjaPolymer recycling techniques experience a maturity period of design and application. Rubbers comprise a high proportion of polymer wastes, highly flammable and impossible to re-melt. Polymer composites based on ground tire rubber (GTR) and ethylene-vinyl acetate copolymer (EVA) containing carbon black (CB) (1–50 phr), with variable EVA/GTR weight composition (10/90, 25/75, 50/50, 75/25 and 90/10), and processing temperature (Low:...
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Rekurencyjny algorytm detekcji sygnału
PublikacjaW niniejszym artykule przedstawiono nowy rekurencyjny algorytm detekcji sygnału, bazując na analizie częstotliwościowo czasowej. Algorytm przetestowano dla szerokiej gamy rzeczywistych sygnałów zarejestrowanych z wykorzystaniem stanowiska pomiarowego. Wyniki pokazują, że zaproponowany algorytm bardzo dobrze wykrywa sygnał użyteczny, a w dodatku jest skalowany. Ponadto w obecnej postaci detekcja zajmuje dwukrotność czasu trwania...
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Reply to Comment on ‘Nanodiamond incorporated human liver mimicking phantoms: prospective calibration medium of magnetic resonance imaging’
PublikacjaDependence of the spin–lattice (T1) relaxation times on the nanodiamond concentration in human liver phantoms is discussed. Factors affecting stability and and reproducibility of these phantoms are presented. The need for comparative measurements on multiple MRI scanners for better understanding of potential variations in the obtained imaging data is emphasised.
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Resilient Routing in Communication Networks - A Systems Perspective
PublikacjaThis practically focused monograph addresses the latest issues of resilient routing in networked systems. It consists of three parts and offers an in-depth introduction to the resilience of networked systems (Part I), a detailed description of schemes of resilient routing (Part II), and examples of the application of resilience mechanisms in selected communication scenarios (Part III). Topics and features: presents the essentials...
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Resource constrained neural network training
PublikacjaModern applications of neural-network-based AI solutions tend to move from datacenter backends to low-power edge devices. Environmental, computational, and power constraints are inevitable consequences of such a shift. Limiting the bit count of neural network parameters proved to be a valid technique for speeding up and increasing efficiency of the inference process. Hence, it is understandable that a similar approach is gaining...
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Response Feature Technology for High-Frequency Electronics. Optimization, Modeling, and Design Automation
PublikacjaThis book discusses response feature technology and its applications to modeling, optimization, and computer-aided design of high-frequency structures including antenna and microwave components. By exploring the specific structure of the system outputs, feature-based approaches facilitate simulation-driven design procedures, both in terms of improving their computational efficiency and reliability. These benefits are associated...
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Reverberation divergence in VR applications
PublikacjaThis project aimed to investigate the correlation between virtual reality (VR) imagery and ambisonic sound. With the increasing popularity of VR applications, understanding how sound is perceived in virtual environments is crucial for enhancing the immersiveness of the experience. In the experiment, participants were immersed in a virtual environment that replicated a concert hall. Their task was to assess the correspondence between...
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Review of Recent Advancement on Nature/Bio-inspired Antenna Designs
PublikacjaThis article presents an extensive examination of antennas rooted in nature and biology, showcasing their remarkable performance across a wide spectrum of frequencies—from microwave to terahertz. The limitations of traditional antenna design have become increasingly evident in the face of burgeoning demands for novel communication technologies. Conventional analytical-equation-based approaches struggle to deliver the combined performance...
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Review of Segmentation Methods for Coastline Detection in SAR Images
PublikacjaSynthetic aperture radar (SAR) images acquired by airborne sensors or remote sensing satellites contain the necessary information that can be used to investigate various objects of interest on the surface of the Earth, including coastlines. The coastal zone is of great economic importance and is also very densely populated. The intensive and increasing use of coasts and changes of coastlines motivate researchers to try to assess...
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Review—Advances in Rechargeable Lithium-Ion Batteries Utilizing Polyoxometalate-Functionalized Nanocarbon Materials
PublikacjaPolyoxometalates (POMs) are inorganic nanoclusters that consist of oxygen and transition metals. These nanoclusters serve as excellent precursors for creating electrode materials that contain transition metals. Additionally, the interaction between POMs and carbon substrates produces positive synergistic effects. There has been considerable attention on employing POMs and carbon nanostructures (for example carbon nanotubes, graphene,...
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Revisiting serotonin’s role in spatial memory: A call for sensitive analytical approaches
PublikacjaThe serotonergic system is involved in various psychiatric and neurological conditions, with serotonergic drugs often used in treatment. These conditions frequently affect spatial memory, which can serve as a model of declarative memory due to well-known cellular components and advanced methods that track neural activity and behavior with high temporal resolution. However, most findings on serotonin's effects on spatial learning...