Wyniki wyszukiwania dla: RUTING QOS - MOST Wiedzy

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Wyniki wyszukiwania dla: RUTING QOS

Wyniki wyszukiwania dla: RUTING QOS

  • Wavelet filtering of signals without using model functions

    Publikacja

    The effective wavelet filtering of real signals is impossible without determining their shape. The shape of a real signal is related to its wavelet spectrum. For shape analysis, a continuous color wavelet spectrogram of signal level is often used. The disadvantage of continuous wavelet spectrogram is the complexity of analyzing a blurry color image. A real signal with additive noise strongly distorts the spectrogram based on continuous...

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  • Optimization of Bread Production Using Neuro-Fuzzy Modelling

    Publikacja

    Automation of food production is an actively researched domain. One of the areas, where automation is still not progressing significantly is bread making. The process still relies on expert knowledge regarding how to react to procedure changes depending on environmental conditions, quality of the ingredients, etc. In this paper, we propose an ANFIS-based model for changing the mixer speed during the kneading process. Although the...

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  • Using wearable device for biomedical signal acquisition and processing

    In this paper we present the research conducted on synchronous measurements of biosignals. The experiment was conducted to evaluate the possibility of estimating vital signs based on eye tracking. Method: The eGlasses platform was used for acquisition of ECG, respiration rate, eye and pupil movement and blood pressure. Data were acquired in three 5 min. intervals during which a subject was performing certain tasks. The signals...

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  • Clothes Detection and Classification Using Convolutional Neural Networks

    Publikacja

    In this paper we describe development of a computer vision system for accurate detection and classification of clothes for e-commerce images. We present a set of experiments on well established architectures of convolutional neural networks, including Residual networks, SqueezeNet and Single Shot MultiBox Detector (SSD). The clothes detection network was trained and tested on DeepFashion dataset, which contains box annotations...

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  • On autoregressive spectrum estimation using the model averaging technique

    The problem of estimating spectral density of a nonstationary process satisfying local stationarity conditions is considered. The proposed solution is a two step procedure based on local autoregressive (AR) modeling. In the first step Bayesian-like averaging of AR models, differing in order, is performed. The main contribution of the paper is development of a new final-prediction-error-like statistic, which can be used to select...

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  • Free randomness amplification using bipartite chain correlations

    Publikacja
    • A. Grudka
    • K. Horodecki
    • M. Horodecki
    • P. Horodecki
    • M. Pawłowski
    • R. Ramanathan

    - PHYSICAL REVIEW A - Rok 2014

    A direct analysis of the task of randomness amplification from Santha-Vazirani sources using the violation of the chained Bell inequality is performed in terms of the convex combination of no-signaling boxes required to simulate quantum violation of the inequality. This analysis is used to find the exact threshold value of the initial randomness parameter from which perfect randomness can be extracted in the asymptotic limit of...

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  • Comparative Analysis of Text Representation Methods Using Classification

    Publikacja

    In our work, we review and empirically evaluate five different raw methods of text representation that allow automatic processing of Wikipedia articles. The main contribution of the article—evaluation of approaches to text representation for machine learning tasks—indicates that the text representation is fundamental for achieving good categorization results. The analysis of the representation methods creates a baseline that cannot...

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  • Monitoring of underdeck corrosion by using acoustic emission method

    Publikacja

    This paper presents first short characteristics of underdeck corrosion process as well as a problem of its monitoring. Next is described an acoustic emission (AE) method elaborated by Department of Ship Technology , Quality Systems and Material Engineering, Gdańsk University of Technology in cooperation with partners of CORFAT project realized within 7th EU Frame Program . Further are presented short characteristics of the emission...

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  • Using XML for implementing set of experience knowledge structure

    Publikacja

    - Rok 2005

    Przedstawiono implementację struktury wiedzy na platformie języka XML. Omówiono zalety implementacji w XML.

  • Formation of novel nanostructures using carbon nanotubes as a frame

    Publikacja
    • E. Borowiak-Palen
    • M. Rümmeli
    • T. Gemming
    • M. Knupfer
    • R. Kalenczuk
    • T. Pichler
    • E. Mijowska

    - Synthetic Metals - Rok 2005

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  • Perspectives of Lean Management Using the Poka Yoke Method

    Publikacja

    - Rok 2023

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  • Identification of acrylate copolymers using pyrolysis and gas chromatography

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  • Demineralization of water using a combination of MD and NF(RO)

    Publikacja

    - DESALINATION - Rok 2006

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  • Biogas Upgrading Using a Single-Membrane System: A Review

    Publikacja

    - Membranes - Rok 2024

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  • Production of process water using integrated membrane processes

    Publikacja
    • K. Karakulski
    • M. Gryta
    • M. Sasim

    - Chemical Papers - Rok 2006

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  • Simultaneous purification and functionalization of carbon nanotubes using chlorination

    Publikacja

    - JOURNAL OF MATERIALS RESEARCH - Rok 2012

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  • Modeling and Simulation of Electric Motors Using Lightweight Materials

    Publikacja
    • N. Boopathi
    • M. Muthuraman
    • R. Palka
    • M. Wardach
    • P. Prajzendanc
    • E. Gundabattini
    • R. Rassiah
    • D. Solomon

    - ENERGIES - Rok 2022

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  • Toward Intelligent Recommendations Using the Neural Knowledge DNA

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2021

    In this paper we propose a novel recommendation approach using past news click data and the Neural Knowledge DNA (NK-DNA). The Neural Knowledge DNA is a novel knowledge representation method designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing systems. We examine our approach for news recommendation tasks on the MIND benchmark dataset. By taking advantages of NK-DNA, deep...

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  • Towards Cancer Patients Classification Using Liquid Biopsy

    Liquid biopsy is a useful, minimally invasive diagnostic and monitoring tool for cancer disease. Yet, developing accurate methods, given the potentially large number of input features, and usually small datasets size remains very challenging. Recently, a novel feature parameterization based on the RNA-sequenced platelet data which uses the biological knowledge from the Kyoto Encyclopedia of Genes and Genomes, combined with a classifier...

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  • Smart city and fire detection using thermal imaging

    In this paper, we summarize the results obtained from fire experiments. The aim of the work was to develop new methods of fire detection using IR thermal imaging cameras and dedicated image processing. We conducted 4 experiments in different configurations and with the use of different objects. The conducted experiments have shown the great usefulness of infrared cameras for detecting the seeds of a fire. Even cheap low-resolution...

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  • Analysing the Residential Market Using Self-Organizing Map

    Publikacja

    - Rok 2022

    Although the residential property market has strong connections with various sectors, such as construction, logistics, and investment, it works through different dynamics than other markets; thus, it can be analysed from various perspectives. Researchers and investors are mostly interested in price trends, the impact of external factors on residential property prices, and price prediction. When analysing price trends, it is beneficial...

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  • Detection of petroleum products using optical coherence tomography

    In this work, we present a novel method developed for the analysis of the properties of thin layers for detecting petroleum products on a water surface using a commercially available optical coherence tomography (OCT) system. The spectral density analysis of the signal from a spectroscopic OCT (S-OCT) enables us to perform the precision calculation of the thin layer thickness and other properties like homogeneity, and dispersion,...

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  • Vibro piles performance prediction using result of CPT

    Vibro piles belong to the group of full displacement piles with an expanded base, characterised by a very high load capacity, especially in non-cohesive soils. The problem is to adopt a reliable method for the determination of full load–settlement (Q–s) curve. A frequent difficulty is the determination of the load capacity limit based on the static load test because the course of the load–settlement curve is of a linear nature....

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  • Food Bioactive Ingredients Processing Using Membrane Distillation

    Publikacja

    Separation processes are an important part of today’s food industries, especially in the case of specific bioactive components due to their health benefits. In general, processing of bioactive food ingredients assumes the introduction of integrated system directed to their separation, fractionation, and recovery. Recently, membrane distillation (MD) has been considered as an alternative membrane-based separation and concentration...

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  • Musical Instrument Identification Using Deep Learning Approach

    Publikacja

    The work aims to propose a novel approach for automatically identifying all instruments present in an audio excerpt using sets of individual convolutional neural networks (CNNs) per tested instrument. The paper starts with a review of tasks related to musical instrument identification. It focuses on tasks performed, input type, algorithms employed, and metrics used. The paper starts with the background presentation, i.e., metadata...

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  • Using Moodle as a Solution to Interdisciplinary E-collaboration Issues

    Rapid technological development in recent years has contributed to numerous changes in many areas of life, including education and communication. Establishing interdisciplinary collaboration brings many benefits, however, it is often associated with numerous problems and inconveniences, as well as the need of constant improvement, lifelong learning, professional development (CPD) and finding an effective way of information transferring....

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  • Outlier detection method by using deep neural networks

    Publikacja

    - Rok 2017

    Detecting outliers in the data set is quite important for building effective predictive models. Consistent prediction can not be made through models created with data sets containing outliers, or robust models can not be created. In such cases, it may be possible to exclude observations that are determined to be outlier from the data set, or to assign less weight to these points of observation than to other points of observation....

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  • Signature Partitioning Using Selected Population-Based Algorithms

    Publikacja

    - Rok 2020

    Dynamic signature is a biometric attribute which is commonly used for identity verification. Artificial intelligence methods, especially population-based algorithms (PBAs), can be very useful in the dynamic signature verification process. They are able to, among others, support selection of the most characteristic descriptors of the signature or perform signature partitioning. In this paper, we focus on creating the most characteristic...

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  • Process Control of Biogas Purification Using Electronic Nose

    Nowadays, biogas produced from landfills and wastewater treatment plants or lignocellulosic biomass is important sustainable and affordable source of energy. Impurities from biogas stream can cause a serious odor problem, especially for residents of areas immediately adjacent to production plants. Therefore, biogas pre-treatment is necessary to protect engines that convert biogas into energy and in order to increase the specific...

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  • Improving the Performance of Ontological Querying by using a Contextual Approach

    In the paper we present the results of experiment we performed to determine whether a contextual approach may be used to increase the performance of querying a knowledge base. For the experiments we have used a unique setting where we put much effort in developing a contextual and a non-contextual ontology which are as much close counterparts as possible. To achieve this we created a contextual version...

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  • Assessing Industry 4.0 Features Using SWOT Analysis

    Publikacja

    - Communications in Computer and Information Science - Rok 2020

    This paper assesses some features of industry 4.0 by using SWOT analysis that affects the adoption and implementation of industry 4.0. The paper identifies the strengths, weaknesses, opportunities, and threats related to industry 4.0. By the consideration of these four groups of factors, the industrial practitioners can understand how to implement industry 4.0. Moreover, industrial practitioners can use the strengths/opportunities...

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  • Photocatalytical degradation of toluene and cyclohexane using LED illumination

    A sol-gel process followed by hydrothermal reaction was used to prepare coupled WO3-TiO2 photocatalysts with varying amounts of WO3 in respect to TiO2 (3 mol% and 5 mol% respectively). Additionally, photocatalysts have been subjected to different calcination temperatures of 400ºC and 800ºC, which allowed us to compare how these affect photodegradation efficiency. Photocatalysts were characterized under a scanning electron microscope,...

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  • Searching for road deformations using mobile laser scanning

    Millions of people use roads every day all over the world. Roads, like many other structures, have an estimated durability. In Poland a lot of the roads were built at the turn of the 20th and 21st c., especially for light cars. Many of these roads carry traffic and heavy goods vehicles which were not predicted when the traffic was first estimated. It creates a lot of problems with technical conditions and the infrastructure must...

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  • Pedestrian safety management using the risk-based approach

    The paper presents a concept of a multi-level pedestrian safety management system. Three management levels are distinguished: strategic, tactical and operational. The basis for the proposed approach to pedestrian safety management is a risk-based method. In the approach the elements of behavioural and systemic theories were used, allowing for the development of a formalised and repeatable procedure integrating the phases of risk...

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  • Production of self-compacting concrete using limestone powder

    Publikacja

    - Betonwerk + Fertigteil-Technik - Rok 2019

    Although there are visible signs of its gradual acceptance in North Africa through its limited use in construction, Libya has yet to explore the feasibility and applicability of self-compacting concrete (SCC) in new construction. The current study revolves around SCC made of locally available materials and the harsh environmental conditions. This paper deals with the investigation into the effect of the water to powder ratio and...

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  • The analysis of the determination of points positions using photogrammetric methods

    Publikacja

    This article was created as a result of research conducted within the master thesis. The purpose of the research was to analyze the accuracy of determining the actual position of the photographed points according to the calculated parameters. The accuracy of photos alignment was determined as parameters, which determine their external and internal orientation. In order to determine the location of the determined points, it was...

  • Quadrotor Flight Controller Design Using Classical Tools

    A principal aspect of quadrocopter in-flight operation is to maintain the required attitude of the craft’s frame, which is done either automatically in the so-called supervised flight mode or manually during man-operated flight mode. This paper deals with the problem of flight controller (logical) structure and algorithm design dedicated for the man-operated flight mode. The role of the controller is to stabilise the rotational...

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  • Determination of the Vehicles Speed Using Acoustic Vector Sensor

    Publikacja

    - Rok 2018

    The method for determining the speed of vehicles using acoustic vector sensor and sound intensity measurement technique was presented in the paper. First, the theoretical basis of the proposed method was explained. Next, the details of the developed algorithm of sound intensity processing both in time domain and in frequency domain were described. Optimization process of the method was also presented. Finally, the proposed measurement...

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  • Counting and tracking vehicles using acoustic vector sensors

    A method is presented for counting vehicles and for determining their movement direction by means of acoustic vector sensor application. The assumptions of the method employing spatial distribution of sound intensity determined with the help of an integrated 3D intensity probe are discussed. The intensity probe developed by the authors was used for the experiments. The mode of operation of the algorithm is presented in conjunction...

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  • Analysis of the Accuracy of Pulse Estimation Using Smart Watches

    Publikacja

    The purpose of this paper is to perform an analysis of the accuracy of the pulse estimation by comparing readings from a smartwatch with readings from medical devices. The study required writing applications that allow continuous pulse measurement. As a result, two applications were created for the smartwatch. The first one is dedicated to Android Wear devices, while the other one is compatible with Tizen watches. The next step...

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  • Stress Detection of Children With ASD Using Physiological Signals

    Publikacja
    • S. N. B. Aktas
    • P. Uluer
    • B. Coskun
    • E. Toprak
    • D. E. Barkana
    • H. Kose
    • T. Zorcec
    • B. Robins
    • A. Landowska

    - Rok 2022

    This paper proposes a physiological signal-based stress detection approach for children with autism spectrum disorder (ASD) to be used in social and assistive robot inter- vention. Electrodermal activity (EDA) and blood volume pulse (BVP) signals are collected with an E4 smart wristband from children with ASD in different countries. The peak count and signal amplitude features are derived from EDA signal and used in order to detect...

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  • Training of Deep Learning Models Using Synthetic Datasets

    Publikacja

    - Rok 2022

    In order to solve increasingly complex problems, the complexity of Deep Neural Networks also needs to be constantly increased, and therefore training such networks requires more and more data. Unfortunately, obtaining such massive real world training data to optimize neural networks parameters is a challenging and time-consuming task. To solve this problem, we propose an easy-touse and general approach to training deep learning...

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  • 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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  • CONCRETE MIX DESIGN USING ABRAMS AND BOLOMEY METHODS

    Publikacja

    One way to reduce the consumption of cement is to optimize its use. Many known methods of concrete design, based on the Abrams law and the Bolomey method. Therefore, the authors chose those methods for analysis. The concrete composition with the assumed strength class, calculated by any method differs significantly. This applies especially to the cement content, as its content in the composition of concrete varies from 20 to 50%....

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  • Transient stability improvement of turbogenerator using fuzzy control.

    W artykule umówiono model rozmytego i adaptacyjnego układu regulacji turbogeneratora. Model ten składa się z: regulatora napięcia i stabilizatora systemowego. Parametry proponowanego modelu układu regulacji zostały zoptymalizowane wykorzystując algorytm genetyczny i są dostrajane w czasie pracy turbozespołu w celu uzyskania optymalnego stanu pracy. Przedstawiono badania symulacyjnych przejętego układu jednomaszynowego przy trójfazowym...

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  • Damage detection of structures using spectral element method.

    Publikacja

    - Rok 2004

    W pracy przedstawion mozlwiości detekcji uszkodzeń w postaci pęknięć zmęczeniowych i delaminacji z wykorzystaniem modeli budowanych za pomocą metody spektralnych elementów skończonych.

  • Vertical axis wind engines using Magnus effect.

    Publikacja

    - Rok 2004

    Zaprezentowano krótki zarys historii wykorzystania energii wiatru. Opisano efekt Magnusa oraz dotychczasowe próby wykorzystania go w budowie silników wiatrowych. Przedstawiono obliczenia, za pomocą, których oszacowano możliwe do osiągnięcia sprawności silników wiatrowych o osi pionowej wyposażonych w rotory Magnusa.

  • Gas detection in semiconductor sensors using fluctuation phenomena

    Publikacja

    Rozpatrzono problemy pomiaru szumów, kóre należy rozwiązać, gdy szumy traktuje się jako dodatkowe źródło informacji o gazach. Metoda szumowa (spektroskopia szumów rezystancyjnych, widma wyższych rzędów) daje więcej informacji polepszając czułość i seleKtywność czujnika.

  • Photocatalytic degradation using nitrogen-modified titanium dioxide

    Publikacja

    - Rok 2005

    Przepływowy reaktor z wypełnieniem został zastosowany do przeprowadzenia fotodegradacji 4-chlorofenolu za pomocą światła widzialnego. Fotokatalizator w postaci tlenku tytanu(IV) modyfikowanego azotem, został naniesiony na powierzchnię kulek szklanych. Źródło światła widzialnego stanowiła 8W lampa fluorescencyjna. Powietrze było w sposób ciągły przepuszczane przez zawartość reaktora.

  • Modelling of concrete using lattice and discrete element method

    Publikacja

    - Rok 2012

    Modelowanie betonu przy zastosowaniu metody siatkowej i metody elementów dyskretnych.