Katalog Czasopism

• Multi-Label Classification for AIS Data Anomaly Detection Using Wavelet Transform

  Publikacja

  • M. Szarmach
  • I. Czarnowski

  - IEEE Access - Rok 2022

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• Stability Enhancement of Grid-Connected Wind Power Generation System Using PSS, SFCL and STATCOM

  Publikacja

  • M. Sarwar
  • M. Arshed
  • B. Hussain
  • M. Rasheed
  • H. Tariq
  • S. Czapp
  • S. Tariq
  • I. A. Sajjad

  - IEEE Access - Rok 2023

  The stability related issues may occur in a power system due to disturbances in generating or loading conditions, especially in the presence of distributed generation (DG) based on renewable energy resources (RERs). This paper proposes a novel strategy for the stability enhancement of a wind power generation system (WPGS) by using a combination of three devices, namely, a power system stabilizer (PSS), resistive superconductor...

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• Neural Approximators for Variable-Order Fractional Calculus Operators (VO-FC)

  Publikacja

  • B. Puchalski

  - IEEE Access - Rok 2022

  The paper presents research on the approximation of variable-order fractional operators by recurrent neural networks. The research focuses on two basic variable-order fractional operators, i.e., integrator and differentiator. The study includes variations of the order of each fractional operator. The recurrent neural network architecture based on GRU (Gated Recurrent Unit) cells functioned as a neural approximation for selected...

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• Simulator for Performance Evaluation of ASON/GMPLS Network

  Publikacja

  • S. Kaczmarek
  • M. Młynarczuk

  - IEEE Access - Rok 2021

  The hierarchical control plane network architecture of Automatically Switched Optical Network with utilization of Generalized Multi-Protocol Label Switching protocols is compliant to next generation networks requirements and can supply connections with required quality of service, even with incomplete domain information. Considering connection control, connection management and network management, the controllers of this architecture...

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• Concurrent Video Denoising and Deblurring for Dynamic Scenes

  Publikacja

  • E. Katsaros
  • P. Kopa Ostrowski
  • D. Węsierski
  • A. Jezierska (dawniej: A. Jezierska)

  - IEEE Access - Rok 2021

  Dynamic scene video deblurring is a challenging task due to the spatially variant blur inflicted by independently moving objects and camera shakes. Recent deep learning works bypass the ill-posedness of explicitly deriving the blur kernel by learning pixel-to-pixel mappings, which is commonly enhanced by larger region awareness. This is a difficult yet simplified scenario because noise is neglected when it is omnipresent in a wide...

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• On Inadequacy of Sequential Design of Experiments for Performance-Driven Surrogate Modeling of Antenna Input Characteristics

  Publikacja

  • A. Pietrenko-Dąbrowska
  • S. Kozieł

  - IEEE Access - Rok 2020

  Design of contemporary antennas necessarily involves electromagnetic (EM) simulation tools. Their employment is imperative to ensure evaluation reliability but also to carry out the design process itself, especially, the adjustment of antenna dimensions. For the latter, traditionally used parameter sweeping is more and more often replaced by rigorous numerical optimization, which entails considerable computational expenses, sometimes...

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• Sensor Position Estimation Method for IoT Using Mobile Reference Node

  Publikacja

  • J. Stefański
  • J. Sadowski

  - IEEE Access - Rok 2020

  The paper proposes an innovative method of locating objects for the Internet of Things (IoT). The proposed method allows the position of a fixed measuring sensor (MS) to be estimated using one mobile base station with a known position moving around the MS. The mathematical analysis of the method, and three algorithms — Newton’s (NA), gradient descent (GD) and genetic (GA) — for solving the system of non-linear positional equations...

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• Examining the Impact of Distance Between VSL Road Signs on Vehicle Speed Variance

  Publikacja

  • A. Sroczyński
  • A. Czyżewski

  - IEEE Access - Rok 2023

  Variable speed limit (VSL) is an intelligent transportation system (ITS) solution for traffic management. The speed limits can be changed dynamically to adapt to traffic conditions such as visibility and traffic volume, curvature, and grip coefficient of the road surface. The VSL traffic sign location problem and attempts to solve it using computer simulation are presented in this paper. Experiments on a selected road segment,...

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• Multifunctional Bandpass Filter/Displacement Sensor Component

  Publikacja

  • Z. Shaterian
  • M. Mrozowski

  - IEEE Access - Rok 2023

  This paper presents the design and realization of a multifunctional bandpassfilter/displacement-sensor using an edge-coupled microstrip bandpass filter loaded by a pair of split ring resonators (SRRs). It is shown that while the structure acts as a bandpass filter at its operating frequency, the phase of the reflection coefficient from a movable loading resonator at the resonance frequency of the resonator can be used for displacement...

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• Four Degree-of-Freedom Hydrodynamic Maneuvering Model of a Small Azipod-Actuated Ship With Application to Onboard Decision Support Systems

  Publikacja

  • M. Marley
  • R. Skjetne
  • M. Gil
  • P. Krata

  - IEEE Access - Rok 2023

  The main contribution of this paper is a numerical ship motion model of NTNU’s research vessel Gunnerus, capturing the surge, sway, roll, and yaw dynamics when sailing in uniform and steady currents. The model utilizes a crossflow drag formulation for the transverse viscous loads, and it includes a nonlinear formulation for the propulsion and steering loads provided by two azipod thrusters. A wide range of experimental data obtained...

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• An Empirical Study on the Impact of Gender on Mobile Applications Usability

  Publikacja

  • P. Weichbroth

  - IEEE Access - Rok 2022

  In the area of broadband wireless Internet, mobile applications have already replaced their desktop equivalents and are recognized as valuable tools for any size of businesses and for private use. With the emergence of millions of apps, the quality of their interaction with the user remains an open question for software vendors. While female and male requirements and preferences are not always similar, to the best of our knowledge,...

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• Decoupled Kalman filter based identification of time-varying FIR systems

  Publikacja

  • M. Ciołek
  • M. Niedźwiecki
  • A. Gańcza

  - IEEE Access - Rok 2021

  When system parameters vary at a fast rate, identification schemes based on model-free local estimation approaches do not yield satisfactory results. In cases like this, more sophisticated parameter tracking procedures must be used, based on explicit models of parameter variation (often referred to as hypermodels), either deterministic or stochastic. Kalman filter trackers, which belong to the second category, are seldom used in...

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• Shape Memory Alloy-Based Fluidically Reconfigurable Metasurfaced Beam Steering Antenna

  Publikacja

  • S. Shah
  • S. Shah
  • E. Bernhardsson
  • S. Kozieł

  - IEEE Access - Rok 2023

  A low-cost actuator-based fluidically programmable metasurface (FPMS) antenna is proposed to solve the slow tuning speed problem of the manually fluidic based reconfigurable antennas. The FPMS-based antenna is probe-fed and comprises a 4 × 4 square ring metasurface as a superstrate. Moreover, two shape memory alloy (SMA)-based electrically-controlled actuators are employed in the design for controlling the position of the 3D-printed...

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• User Authentication by Eye Movement Features Employing SVM and XGBoost Classifiers

  Publikacja

  • P. Odya
  • F. Górski
  • A. Czyżewski

  - IEEE Access - Rok 2023

  Devices capable of tracking the user’s gaze have become significantly more affordable over the past few years, thus broadening their application, including in-home and office computers and various customer service equipment. Although such devices have comparatively low operating frequencies and limited resolution, they are sufficient to supplement or replace classic input interfaces, such as the keyboard and mouse. The biometric...

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• Strategies for Dealing With Software Product Management Challenges

  Publikacja

  • O. Springer
  • J. Miler
  • M. Wróbel

  - IEEE Access - Rok 2023

  Software product management, which involves multiple processes and responsibilities and links to many activities within the organisation, increases the success rate of IT projects. However, the adoption of product management activities and the implementation of the software product manager role itself varies between companies. This research explores the topic of software product managers’ strategies for dealing with challenges...

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• Predicting emotion from color present in images and video excerpts by machine learning

  Publikacja

  • A. Wędołowska
  • D. Weber
  • B. Kostek

  - IEEE Access - Rok 2023

  This work aims at predicting emotion based on the colors present in images and video excerpts using a machine-learning approach. The purpose of this paper is threefold: (a) to develop a machine-learning algorithm that classifies emotions based on the color present in an image, (b) to select the best-performing algorithm from the first phase and apply it to film excerpt emotion analysis based on colors, (c) to design an online survey...

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• A Parallel Corpus-Based Approach to the Crime Event Extraction for Low-Resource Languages

  Publikacja

  • N. Khairova
  • O. Mamyrbayev
  • N. Rizun
  • M. Razno
  • G. Ybytayeva

  - IEEE Access - Rok 2023

  These days, a lot of crime-related events take place all over the world. Most of them are reported in news portals and social media. Crime-related event extraction from the published texts can allow monitoring, analysis, and comparison of police or criminal activities in different countries or regions. Existing approaches to event extraction mainly suggest processing texts in English, French, Chinese, and some other resource-rich...

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• On Improved-Reliability Design Optimization of High-Frequency Structures Using Local Search Algorithms

  Publikacja

  • S. Kozieł
  • A. Pietrenko-Dąbrowska
  • P. Płotka

  - IEEE Access - Rok 2022

  The role of numerical optimization has been continuously growing in the design of high-frequency structures, including microwave and antenna components. At the same time, accurate evaluation of electrical characteristics necessitates full-wave electromagnetic (EM) analysis, which is CPU intensive, especially for complex systems. As rigorous optimization routines involve repetitive EM simulations, the associated cost may be significant....

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• Accelerated Re-Design of Antenna Structures Using Sensitivity-Based Inverse Surrogates

  Publikacja

  • S. Kozieł
  • A. Bekasiewicz

  - IEEE Access - Rok 2020

  The paper proposes a novel framework for accelerated re-design (dimension scaling) of antenna structures using inverse surrogates. The major contribution of the work is a sensitivity-based model identification procedure, which permits a significant reduction of the number of reference designs required to render the surrogate. Rigorous formulation of the approach is supplemented by its comprehensive numerical validation using a...

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• Breast MRI segmentation by deep learning: key gaps and challenges

  Publikacja

  • K. Askaripour
  • A. Żak

  - IEEE Access - Rok 2023

  Breast MRI segmentation plays a vital role in early diagnosis and treatment planning of breast anomalies. Convolutional neural networks with deep learning have indicated promise in automating this process, but significant gaps and challenges remain to address. This PubMed-based review provides a comprehensive literature overview of the latest deep learning models used for breast segmentation. The article categorizes the literature...

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