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Wyniki wyszukiwania dla: ELASTIC OPTICAL NETWORKS
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Large elastic deformations of laminated cylindrical panels under point load
PublikacjaTematem pracy jest numeryczna analiza sprężysta cylindrycznych powłok kompozytowych w zakresie dużych obrotów. Analizując serię wielowarstwowych cylindrycznych powłok kompozytowych o brzegach utwierdzonych i obciążonych centralnie siła skupioną z pewnym zaskoczeniem zaobserwowano, że w przypadku określonych schematów uwarstwienia, nastąpić może wzrost wielkości obciążenia krytycznego mimo redukcji globalnej sztywności konstrukcji.
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Elastic wave propagation in frame structure in the context of structural health monitoring
PublikacjaPraca dotyczy propagacji fal sprężystych r konstrukcji ramowej w ośrodku typu belka Timoszenki. Do obliczeń numerycznych wykorzystano wielowęzłowe spektralne elementy skończone klasy C0. Omówiono algorytm całkowania po czasie i sformułowano wnioski dotyczące liczby węzłów na długość fali.
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Elastic protection coasting for ship tanks to increase environment protection level
PublikacjaW opracowaniu przedstawiono ideę nowego rozwiązania dla podniesienia bezpieczeństwa zbiorników paliwowych statków, polegającą na wprowadzeniu do zbiornika drugiej - elastycznej bariery ochronnej opartej na warstwie wypełniacza.
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Investigation of elastic vulcanizates prepared from rubbermixtures containing devulcanizate additives
PublikacjaW pracy przedstawiono sposób przeprowadzenia procesu dewulkanizacji odpadów gumowych z użyciem oleju talowego, a następnie wykorzystanie produktu dewulkanizacji w mieszance kauczukowej i jej wulkanizacji. Wulkanizaty zawierające dewulkanizat scharakteryzowano poprzez zbadanie właściwości mechanicznych (warunki statyczne) oraz termomechanicznych (warunki dynamiczne).
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Elastic electron scattering by argon in the vicinity of the high-energy critical minimum.
PublikacjaZostały obliczone różniczkowe przekroje czynne na sprężyste rozpraszanie elektronów na argonie. Przedział energetyczny rozpraszanych elektronów został tak dobrany, aby zbadać położenie tzw. minimum krytycznego.
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Experimental Investigation of Elastic Waves Propagation in 1D and 2D Structures with Faults.
PublikacjaW pracy omówiono wyniki pomiarów fal sprężystych w prętach, belkach i płytach z uszkodzeniami.
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INFLUENCE OF A VERTEX REMOVING ON THE CONNECTED DOMINATION NUMBER – APPLICATION TO AD-HOC WIRELESS NETWORKS
PublikacjaA minimum connected dominating set (MCDS) can be used as virtual backbone in ad-hoc wireless networks for efficient routing and broadcasting tasks. To find the MCDS is an NP- complete problem even in unit disk graphs. Many suboptimal algorithms are reported in the literature to find the MCDS using local information instead to use global network knowledge, achieving an important reduction in complexity. Since a wireless network...
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Tailoring properties of indium tin oxide thin films for their work in both electrochemical and optical label-free sensing systems
PublikacjaThis work is devoted to the identification properties of indium tin oxide (ITO) thin films responsible for their possible application in combined optical and electrochemical label-free sensing systems offering enhanced functionalities. Since any post-processing would make it difficult to identify direct relation between deposition parameters and properties of the ITO films, especially when deposition on temperature-sensitive substrates...
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Real-time isothermal DNA amplification monitoring in picoliter volumes using an optical fiber sensor
PublikacjaRolling circle amplification (RCA) of DNA can be considered as a great alternative to the gold standard polymerase chain reaction (PCR), especially during this pandemic period, where rapid, sensitive, and reliable test results for hundreds of thousands of samples are required daily. This work presents the first research to date on direct, real-time and label-free isothermal DNA amplification monitoring using a microcavity in-line...
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On the Usefulness of the Generalised Additive Model for Mean Path Loss Estimation in Body Area Networks
PublikacjaIn this article, the usefulness of the Generalised Additive Model for mean path loss estimation in Body Area Networks is investigated. The research concerns a narrow-band indoor off-body network operating at 2.45 GHz, being based on measurements performed with four different users. The mean path loss is modelled as a sum of four components that depend on path length, antenna orientation angle, absolute difference between transmitting...
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The geometry of free-standing titania nanotubes as a critical factor controlling their optical and photoelectrochemical performance
PublikacjaTitanium dioxide nanotubes are regarded as one of the most important functional materials and due to their unique electronic properties, chemical stability and photocorrosion resistance, they find applications in, for example, highly efficient photocatalysis or perovskite solar cells. Nevertheless, modification of TiO2 nanotubes is required to overcome their main drawback, i.e. large energy bandgap (>3.2 eV) limiting their ability...
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Long-distance quantum communication over noisy networks without long-time quantum memory
PublikacjaThe problem of sharing entanglement over large distances is crucial for implementations of quantum cryptography. A possible scheme for long-distance entanglement sharing and quantum communication exploits networks whose nodes share Einstein-Podolsky-Rosen (EPR) pairs. In Perseguers et al. [Phys. Rev. A 78, 062324 (2008)] the authors put forward an important isomorphism between storing quantum information in a dimension D and transmission...
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Michał Hoeft dr inż.
OsobyMichał Hoeft z wyrożnieniem ukończył studia na Wydziale ETI Politechniki Gdańskiej w 2011. Obszary jego zainteresowań badawczych obejmują zarządzanie mobilnością w sieciach heterogenicznych oraz optymalizacje przełączania w sieciach IEEE 802.11. Michał Hoeft uczestniczył w licznych projektach B+R m. in. Inżynieria Internetu Przyszłości, PL-LAB2020 oraz netBaltic. Dodatkowo pełnił rolę recenzanta dla czasopism: Ad-Hoc Networks,...
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Use of optical skin phantoms for preclinical evaluation of laser efficiency for skin lesion therapy
PublikacjaSkin lesions are commonly treated using laser heating. However, the introduction of new devices into clinical practice requires evaluation of their performance. This study presents the application of optical phantoms for assessment of a newly developed 975-nm pulsed diode laser system for dermatological purposes. Such phantoms closely mimic the absorption and scattering of real human skin (although not precisely in relation to...
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The Idea of Using Bayesian Networks in Forecasting Impact of Traffic-Induced Vibrations Transmitted through the Ground on Residential Buildings
PublikacjaTraffic–induced vibrations may constitute a considerable load to buildings. In this paper, vibrations transmitted through the ground caused by wheeled vehicles are considered. This phenomenon may cause cracking of plaster, cracks in load-bearing elements or even, in extreme cases, collapse of the whole structure. Measurements of vibrations of real structures are costly and laborious. Therefore, the aim of the present paper is to...
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An Off-Body Narrowband and Ultra-Wide Band Channel Model for Body Area Networks in a Ferryboat Environment
PublikacjaIn the article an off-body narrowband and ultra-wide band channel model for body area networks in a ferryboat environment is described. Considering the limited number of publications there is a need to develop an off-body channel model, which will facilitate the design of radio links, both from the multimedia services provider and the security point of view, for body area networks in this atypical environment. A mobile heterogeneous...
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Evidence-Based Risk Management for Civil Engineering Projects Using Bayesian Belief Networks (BBN)
PublikacjaThe authors are seeking new methods for improving the efficiency of the investments associated with the maintenance and operation of existing civil engineering structures. It is demonstrated how the knowledge about the elements of construction and operation phases and their relationships, combined with monitoring data can be used for more effective management of the risks associated with civil engineering projects. The methodology...
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Dispersion compensation in optical coherence tomography
PublikacjaDyspersja wprowadzana przez system optycznej tomografii koherentnej (OCT) oraz badane obiekty powoduje zniekształcenia fazowe w zależności od długości fali widma promieniowania zastosowanego źródła optycznego. powoduje to rozmycie obrazów otrzymanych przekrojów badanych materiałów pogarszając właściwości metrologiczne systemu OCT. W artykule przedstawiono metody kompensacji dyspersji w systemie OCT oraz przedyskutowano ich właściwości.
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Development of optical fiber technology in Poland
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Optical fiber technology development in Poland
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Measurement techniques of tailored optical fibers
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Development of optical fiber technology in Poland
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<title>Tailored optical fibers</title>
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Development of Optical Fiber Technology in Poland
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Optical absorption and anisotropy of phosphorene flakes
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Integrating Optical Spectroscopy and Chemometric Methods
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Applications of polarization interferometry in optical sensors
PublikacjaW artykule przedstawiono wybrane realizacje interferometrycznych czujników przesunięcia, wykonanych z elementów optyki objętościowej. Czujniki te, stosowane w technice pomiarowej i mikroskopii, charakteryzują się dużą rozdzielczością i dokładnością pomiaru. Omówiono problemy związane z implementacją tych czujników, wpływające na pogorszenie dokładności pomiaru. Zaprezentowano metody korekcji sygnału wyjściowego, opracowane dla...
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Application 2D Descriptors and Artificial Neural Networks for Beta-Glucosidase Inhibitors Screening
PublikacjaBeta-glucosidase inhibitors play important medical and biological roles. In this study, simple two-variable artificial neural network (ANN) classification models were developed for beta-glucosidase inhibitors screening. All bioassay data were obtained from the ChEMBL database. The classifiers were generated using 2D molecular descriptors and the data miner tool available in the STATISTICA package (STATISTICA Automated Neural...
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Channel State Estimation in LTE-Based Heterogenous Networks Using Deep Learning
PublikacjaFollowing 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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Optical method supported by machine learning for urinary tract infection detection and urosepsis risk assessment
PublikacjaThe study presents an optical method supported by machine learning for discriminating urinary tract infections from an infection capable of causing urosepsis. The method comprises spectra of spectroscopy measurement of artificial urine samples with bacteria from solid cultures of clinical E. coli strains. To provide a reliable classification of results assistance of 27 algorithms was tested. We proved that is possible to obtain...
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Understanding the Electronic Structure and Optical Properties of Vacancy-Ordered Double Perovskite A2BX6 for Optoelectronic Applications
PublikacjaOver the past few years, metal halide perovskite solar cells have made significant advances. Currently, the single-junction perovskite solar cells reach a conversion efficiency of 25.7%. Perovskite solar cells with a wide band gap can also be used as top absorber layers in multi-junction tandem solar cells. We examined the dynamical and thermal stability, electronic structure, and optical features of In2PtX 6 (X = Cl, Br, and I)...
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Optical Materials Express
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Effect of pH on optical sensing with poly-L-lysine-modified nanodiamonds
PublikacjaNitrogen-vacancy (NV) centers are crystallographic defects which provide diamonds with unique physical properties. The centers are known for their intensive, time-stable fluorescence, and an electron spin, which exhibits long coherence time and may be manipulated using external stimuli. Nanodiamonds containing the NV centers are promising tools in biolabeling, biosensing, and drug delivery due to the aforementioned properties of...
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Structural, optical and electrochemical performance of black phosphorus and black arsenic-phosphorus nanostructures
PublikacjaBlack phosphorus (BP)-based nanostructures have drawn a lot of attention due to their tunable bandgap and extraordinary properties such as: high surface-to-volume ratio, large number of active sites, and prominent edges. However, low dimensional structures of black phosphorus oxidize easily, which hamper their application on a broader scale. One way to overcome these difficulties is to modify the black phosphorus structure by substituting...
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Linear and Nonlinear Optical Properties of Azobenzene Derivatives Modified with an (Amino)naphthalene Moiety
PublikacjaThe design of two-photon absorbing azobenzene (AB) derivatives has received much attention; however, the two-photon absorption (2PA) properties of bis-conjugated azobenzene systems are relatively less explored. Here, we present the synthesis of six azobenzene derivatives and three bisazobenzenes substituted (or not) at para position(s) with one or two amino group(s). Their linear and nonlinear absorption properties are studied...
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Recognition of Emotions in Speech Using Convolutional Neural Networks on Different Datasets
PublikacjaArtificial Neural Network (ANN) models, specifically Convolutional Neural Networks (CNN), were applied to extract emotions based on spectrograms and mel-spectrograms. This study uses spectrograms and mel-spectrograms to investigate which feature extraction method better represents emotions and how big the differences in efficiency are in this context. The conducted studies demonstrated that mel-spectrograms are a better-suited...
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Using LSTM networks to predict engine condition on large scale data processing framework
PublikacjaAs the Internet of Things technology is developing rapidly, companies have an ability to observe the health of engine components and constructed systems through collecting signals from sensors. According to output of IoT sensors, companies can build systems to predict the conditions of components. Practically the components are required to be maintained or replaced before the end of life in performing their assigned task. Predicting...
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Social networks as a context for small business? A new look at an enterprise in the context of a smallness and newness liability syndrome
PublikacjaIn this paper we aim to propose and outline key ingredients to a small enterprise success, emerging from the social capital of small business owner-managers and their business networks. We employ resource based view of an organization as well as an embeddedness perspective along with new approach transaction costs to outline the pillars of an advantage of a small business entity. The analysis of survey data leads us to conclusion,...
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Design, Realization and Measurements of Enhanced Performance 2.4 GHz ESPAR Antenna for Localization in Wireless Sensor Networks
PublikacjaThis paper presents the design, realization and measurements of an Electronically Steerable Parasitic Array Radiator (ESPAR) antenna with enhanced performance of estimating the incoming signal direction. Designed antenna is dedicated for 2.4 GHz ISM applications with emphasis on Wireless Sensor Networks (WSN). Proposed antenna provides different radiation patterns by proper configuration of the parasitic elements. Thus, several...
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Evolving gene regulatory networks controlling foraging strategies of prey and predators in an artificial ecosystem
PublikacjaCo-evolution of predators and prey is an example of an evolutionary arms race, leading in nature to selective pressures in positive feedback. We introduce here an artificial life ecosystem in which such positive feedback can emerge. This ecosystem consists of a 2-dimensional liquid environment and animats controlled by evolving artificial gene regulatory networks encoded in linear genomes. The genes in the genome encode chemical...
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Comparison of 3D Point Cloud Completion Networks for High Altitude Lidar Scans of Buildings
PublikacjaHigh altitude lidar scans allow for rapid acquisition of big spatial data representing entire city blocks. Unfortunately, the raw point clouds acquired by this method are largely incomplete due to object occlusions and restrictions in scanning angles and sensor resolution, which can negatively affect the obtained results. In recent years, many new solutions for 3D point cloud completion have been created and tested on various objects;...
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Mathematical analysis of the lasing eigenvalue problem for the optical modes in a layered dielectric cavity with a quantum well and distributed Bragg reflectors
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DEEP CONVOLUTIONAL NEURAL NETWORKS AS A DECISION SUPPORT TOOL IN MEDICAL PROBLEMS – MALIGNANT MELANOMA CASE STUDY
PublikacjaThe paper presents utilization of one of the latest tool from the group of Machine learning techniques, namely Deep Convolutional Neural Networks (CNN), in process of decision making in selected medical problems. After the survey of the most successful applications of CNN in solving medical problems, the paper focuses on the very difficult problem of automatic analyses of the skin lesions. The authors propose the CNN structure...
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Fast Fading Influence on the Deep Learning-Based LOS and NLOS Identificationin Wireless Body Area Networks
PublikacjaIn the article, the fast fading influence on the proposed DL (Deep Learning) approach for LOS (Line-of-Sight) and NLOS (Non-Line-of-Sight) conditions identification in Wireless Body Area Networks is investigated. The research was conducted on the basis of the off-body communication measurements using the developed mobile measurement stand, in an indoor environment for both static and dynamic scenarios. The measurements involved...
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Gas Detection Using Resistive Gas Sensors And Radial Basis Function Neural Networks
PublikacjaWe present a use of Radial Basis Function (RBF) neural networks and Fluctuation Enhanced Sensing (FES) method in gas detection system utilizing a prototype resistive WO3 gas sensing layer with gold nanoparticles. We investigated accuracy of gas detection for three different preprocessing methods: no preprocessing, Principal Component Analysis (PCA) and wavelet transformation. Low frequency noise voltage observed in resistive gas...
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Classification of objects in the LIDAR point clouds using Deep Neural Networks based on the PointNet model
PublikacjaThis work attempts to meet the challenges associated with the classification of LIDAR point clouds by means of deep learning. In addition to achieving high accuracy, the designed system should allow the classification of point clouds covering an area of several dozen square kilometers within a reasonable time interval. Therefore, it must be characterized by fast processing and efficient use of memory. Thus, the most popular approaches...
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Variable Temperature Spectroscopic Ellipsometry as a Tool for Insight into the Optical Order in the P3HT:PC70BM and PC70BM Layers
PublikacjaTwo combined ellipsometric techniques—variable angle spectroscopic ellipsometry (VASE) and variable temperature spectroscopic ellipsometry (VTSE)—were used as tools to study the surface order and dielectric properties of thin films of a poly(3-hexylthiophene-2,5-diyl) (P3HT) mixture with a fullerene derivative (6,6-phenyl-C71-butyric acid methyl ester) (PC70BM). Under the influence of annealing, a layer of the ordered PC70BM...
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Measurements of absolute elastic and vibrational cross sections for electron scattering from tetrahydrofuran
PublikacjaPrzedstawiono wstępne wyniki pomiaru absolutnych przekrojów czynnych na zderzenie elektronów z drobinami tetrahydrofuranu przy energii 10eV.
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Elastic electron scattering in krypton in the energy range from 5 to 10 eV
PublikacjaZmierzono różniczkowe przekroje czynne na rozproszenie sprężyste elektronów w kryptonie dla energii elektronów 5, 7.5 oraz 10 eV, w zakresie kątów rozproszenia od 30 do 180 stopni. Pomiary w zakresie dużych kątów rozproszenia wykonano wykorzystując metodę lokalnego pola magnetycznego.
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Cross section calculations for electron impact ionization and elastic scattering from cisplatin
PublikacjaCałkowity przekrój czynny na jednokrotną jonizację cisplatyny (H6N2Cl2Pt) w zderzeniach z elektronami został obliczony przy wykorzystaniu modelu BEB (binary-encounter-Bethe) dla energii zderzenia od progu na jonizację do 5 keV. W celu uzyskania danych niezbędnych w modelu BEB, geometryczna i elektronowa struktura cisplatyny została przebadana metodami chemii kwantowej. Obliczono również przekrój czynny na sprężyste rozproszenie...