Rok 2021

• Can the AHCL System Be Used in T1D Patients with Borderline TDDI? A Case Report

  Publikacja

  • A. Tekielak
  • S. Seget
  • E. Rusak
  • P. Jarosz-Chobot

  - SENSORS - Rok 2021

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• Channel State Estimation in LTE-Based Heterogenous Networks Using Deep Learning

  Publikacja

  • K. Cwalina
  • P. Rajchowski
  • A. Olejniczak
  • O. Błaszkiewicz
  • R. Burczyk

  - SENSORS - Rok 2021

  Following the continuous development of the information technology, the concept of dense urban networks has evolved as well. The powerful tools, like machine learning, break new ground in smart network and interface design. In this paper the concept of using deep learning for estimating the radio channel parameters of the LTE (Long Term Evolution) radio interface is presented. It was proved that the deep learning approach provides...

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• Collision‐Aware Routing Using Multi‐Objective Seagull Optimization Algorithm for WSN‐Based IoT

  Publikacja

  • P. Jagannathan
  • S. Gurumoorthy
  • A. Stateczny
  • P. B. Divakarachar
  • J. Sengupta

  - SENSORS - Rok 2021

  In recent trends, wireless sensor networks (WSNs) have become popular because of their cost, simple structure, reliability, and developments in the communication field. The Internet of Things (IoT) refers to the interconnection of everyday objects and sharing of information through the Internet. Congestion in networks leads to transmission delays and packet loss and causes wastage of time and energy on recovery. The routing protocols...

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• Computational Methods for Liver Vessel Segmentation in Medical Imaging: A Review

  Publikacja

  • M. Ciecholewski
  • M. Kassjański

  - SENSORS - Rok 2021

  The segmentation of liver blood vessels is of major importance as it is essential for formulating diagnoses, planning and delivering treatments, as well as evaluating the results of clinical procedures. Different imaging techniques are available for application in clinical practice, so the segmentation methods should take into account the characteristics of the imaging technique. Based on the literature, this review paper presents...

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• CyberEye: New Eye-Tracking Interfaces for Assessment and Modulation of Cognitive Functions beyond the Brain

  Publikacja

  • M. Lech
  • A. Czyżewski
  • M. T. Kucewicz (dawniej: M. Kucewicz)

  - SENSORS - Rok 2021

  The emergence of innovative neurotechnologies in global brain projects has accelerated research and clinical applications of BCIs beyond sensory and motor functions. Both invasive and noninvasive sensors are developed to interface with cognitive functions engaged in thinking, communication, or remembering. The detection of eye movements by a camera offers a particularly attractive external sensor for computer interfaces to monitor,...

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Rok 2008

• Chemical characterization of dew water collected in different geographic regions of Poland

  Publikacja

  • Ż. Polkowska
  • M. Błaś
  • K. Klimaszewska
  • M. Sobik
  • S. Małek
  • J. Namieśnik

  - SENSORS - Rok 2008

  Określono poziomy stężeń składników śladowych obecnych w próbkach rosy zebranych na terenach wyraźnie różniących się pod względem położenia geograficznego jak również poziomem antropopresji. Próbki rosy były zbierane na terenie ośmiu stacji pomiarowych w cyklu dobowym w okresie od sierpnia 2004 do listopada 2006 roku. W zależności od położenia miejsc zbierania próbek oraz charakteru tła emisji zanieczyszczeń dokonano podziału na...

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Rok 2020

• Combined Long-Period Fiber Grating and Microcavity In-Line Mach–Zehnder Interferometer for Refractive Index Measurements with Limited Cross-Sensitivity

  Publikacja

  • M. Janik
  • M. Koba
  • K. Król
  • P. Mikulic
  • W. J. Bock
  • M. Śmietana

  - SENSORS - Rok 2020

  This work discusses sensing properties of a long-period grating (LPG) and microcavity in-line Mach–Zehnder interferometer (µIMZI) when both are induced in the same single-mode optical fiber. LPGs were either etched or nanocoated with aluminum oxide (Al2O3) to increase its refractive index (RI) sensitivity up to ≈2000 and 9000 nm/RIU, respectively. The µIMZI was machined using a femtosecond laser as a cylindrical cavity (d = 60...

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• Compressive Sensing Approach to Harmonics Detection in the Ship Electrical Network

  Publikacja

  • B. Pałczyńska (dawniej: B. Palczynska)
  • R. Maśnicki
  • J. Mindykowski

  - SENSORS - Rok 2020

  The contribution of this paper is to show the opportunities for using the compressive sensing (CS) technique for detecting harmonics in a frequency sparse signal. The signal in a ship’s electrical network, polluted by harmonic distortions, can be modeled as a superposition of a small number of sinusoids and the discrete Fourier transform (DFT) basis forms its sparse domain. According to the theory of CS, a signal may be reconstructed...

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• Debonding Size Estimation in Reinforced Concrete Beams Using Guided Wave-Based Method

  Publikacja

  • B. Zima
  • R. Kędra

  - SENSORS - Rok 2020

  The following paper presents the results of the theoretical and experimental analysis of the influence of debonding size on guided wave propagation in reinforced concrete beams. The main aim of the paper is a development of a novel, baseline-free method for determining the total area of debonding between steel rebar embedded in a concrete cover on the basis of the average wave velocity or the time of flight. The correctness of...

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Rok 2011

• Contamination of Runoff Water at Gdańsk Airport (Poland) by Polycyclic Aromatic Hydrocarbons (PAHs) and Polychlorinated Biphenyls (PCBs)

  Publikacja

  • A. Sulej-Suchomska
  • Ż. Polkowska
  • J. Namieśnik

  - SENSORS - Rok 2011

  Airport runoff can contain high concentrations of various pollutants, in particular polycyclic aromatic hydrocarbons (PAHs) and polychlorinated biphenyls (PCBs), the environmental levels of which have to be monitored. Airport runoff water samples, collected at the Gdańsk-Rębiechowo Airport from 2008 to 2009, were analysed for PAHs and PCBs by gas chromatography. The aromatic fractions were separated by liquid-liquid extraction...

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Rok 2017

• Customization of UWB 3D-RTLS Based on the New Uncertainty Model of the AoA Ranging Technique

  Publikacja

  • B. Jachimczyk
  • D. Dziak
  • W. J. Kulesza

  - SENSORS - Rok 2017

  The increased potential and effectiveness of Real-time Locating Systems (RTLSs) substantially influence their application spectrum. They are widely used, inter alia, in the industrial sector, healthcare, home care, and in logistic and security applications. The research aims to develop an analytical method to customize UWB-based RTLS, in order to improve their localization performance in terms of accuracy and precision. The analytical...

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Rok 2022

• Cyclic Behavior of Masonry Shear Walls Retrofitted with Engineered Cementitious Composite and Pseudoelastic Shape Memory Alloy

  Publikacja

  • A. Tabrizikahou
  • E. Noroozinejad
  • M. Kuczma
  • M. Łasecka-Plura

  - SENSORS - Rok 2022

  The behavior of masonry shear walls reinforced with pseudoelastic Ni–Ti shape memory alloy (SMA) strips and engineered cementitious composite (ECC) sheets is the main focus of this paper. The walls were subjected to quasi-static cyclic in-plane loads and evaluated by using Abaqus. Eight cases of strengthening of masonry walls were investigated. Three masonry walls were strengthened with different thicknesses of ECC sheets using...

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• Design of Cost-Efficient Optical Fronthaul for 5G/6G Networks: An Optimization Perspective

  Publikacja

  • A. Fayad
  • T. Cinkler
  • J. Rak
  • M. Jha

  - SENSORS - Rok 2022

  Currently, 5G and the forthcoming 6G mobile communication systems are the most promising cellular generations expected to beat the growing hunger for bandwidth and enable the fully connected world presented by the Internet of Everything (IoE). The cloud radio access network (CRAN) has been proposed as a promising architecture for meeting the needs and goals of 5G/6G (5G and beyond) networks. Nevertheless, the provisioning of cost-efficient...

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Rok 2019

• Deep Learning-Based LOS and NLOS Identification in Wireless Body Area Networks

  Publikacja

  • K. Cwalina
  • P. Rajchowski
  • O. Błaszkiewicz
  • A. Olejniczak
  • J. Sadowski

  - SENSORS - Rok 2019

  In this article, the usage of deep learning (DL) in ultra-wideband (UWB) Wireless Body Area Networks (WBANs) is presented. The developed approach, using channel impulse response, allows higher efficiency in identifying the direct visibility conditions between nodes in off-body communication with comparison to the methods described in the literature. The effectiveness of the proposed deep feedforward neural network was checked on...

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• Design and Experiments of a Piezoelectric Motor Using Three Rotating Mode Actuators

  Publikacja

  • R. Ryndzionek
  • Ł. Sienkiewicz
  • M. Michna
  • F. Kutt

  - SENSORS - Rok 2019

  This paper represents a numerical and experimental investigation of the multicell piezoelectric motor. The proposed design consists of three individual cells that are integrated into the stator, double rotor, and a preload system combined into a symmetrical structure of the motor. Each of the cells is characterized by a traveling wave and rotating mode motor. A finite element numerical analysis is carried out to obtain optimal...

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• Detection of the Plant Pathogen Pseudomonas Syringae pv. Lachrymans on Antibody-Modified Gold Electrodes by Electrochemical Impedance Spectroscopy

  Publikacja

  • Z. Cebula
  • S. Żołędowska
  • K. Dziąbowska
  • M. Skwarecka
  • N. Malinowska
  • W. Białobrzeska
  • E. Czaczyk
  • K. Siuzdak
  • M. Sawczak
  • R. Bogdanowicz
  • D. Nidzworski

  - SENSORS - Rok 2019

  The present work describes an impedimetric immunosensor for Pseudomonas syringae pv. lachrymans (Psl) detection. This pathogen infects many crop species causing considerable yield losses, thus fast and cheap detection method is in high demand. In the assay, the gold disc electrode was modified with 4-aminothiophenol (4-ATP), glutaraldehyde (GA), and anti-Psl antibodies, and free-sites were blocked with bovine serum albumin (BSA)....

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Rok 2018

• Deformation Analysis of a Composite Bridge during Proof Loading Using Point Cloud Processing

  Publikacja

  • P. Ziółkowski
  • J. Szulwic
  • M. Miśkiewicz

  - SENSORS - Rok 2018

  Remote sensing in structural diagnostics has recently been gaining attention. These techniques allow the creation of three-dimensional projections of the measured objects, and are relatively easy to use. One of the most popular branches of remote sensing is terrestrial laser scanning. Laser scanners are fast and efficient, gathering up to one million points per second. However, the weakness of terrestrial laser scanning is the...

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Rok 2024

• Design of a Shape-Memory-Alloy-Based Carangiform Robotic Fishtail with Improved Forward Thrust

  Publikacja

  • M. Kumar Koiri
  • D. Vineet
  • K. A. Sharma
  • D. Chuchała

  - SENSORS - Rok 2024

  Shape memory alloys (SMAs) have become the most common choice for the development of mini- and micro-type soft bio-inspired robots due to their high power-to-weight ratio, ability to be installed and operated in limited space, silent and vibration-free operation, biocompatibility, and corrosion resistance properties. Moreover, SMA spring-type actuators are used for developing different continuum robots, exhibiting high degrees...

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• Detection of Closing Crack in Beam Based on Responses Induced by Harmonic Excitation

  Publikacja

  • S. A. Tewelde
  • M. Krawczuk

  - SENSORS - Rok 2024

  The non-linear contact model was chosen to simulate the closed crack in the cantilever beam. The study examines the shape and characteristics of the phase diagram of a cantilever beam with closed cracks. It investigates how various crack properties influence the geometry of the phase diagram and proposes a method for identifying cracks based on their features. The area of each closed curve in the phase diagram is determined using...

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Rok 2023

• Detecting Lombard Speech Using Deep Learning Approach

  Publikacja

  • K. Kąkol
  • G. Korvel
  • G. Tamulevicius
  • B. Kostek

  - SENSORS - Rok 2023

  Robust Lombard speech-in-noise detecting is challenging. This study proposes a strategy to detect Lombard speech using a machine learning approach for applications such as public address systems that work in near real time. The paper starts with the background concerning the Lombard effect. Then, assumptions of the work performed for Lombard speech detection are outlined. The framework proposed combines convolutional neural networks...

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