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Search results for: VEHICLE DETECTION, CONVOLUTIONAL NEURAL NETWORK, STYLE TRANSFER, DATA AUGMENTATION, TRAFFIC MONITORING SYSTEM
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Design and simulation of excitation laser system for in-situ Raman monitoring
PublicationPraca opisuje projekt oraz kontrukcję laserowego pobudzania próbek cienkowarstwowych. Zaprezentowana modelowanie optyczne systemu pobudzania oraz konfigurację prototypu. Układ znajdzie zastosowanie w długoogniskowym spektroskopie ramanowskim pracującym na stanowisku PA CVD.
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Monitoring of Velocity of Manufacturing Machines Subassamblieas by Means of a DAQ System
PublicationArtykuł dotyczy dokładnych cyfrowych pomiarów prędkości ruchu podzespołów maszyn, realizowanych za pomocą enkoderów kwadraturowych, kart licznikowych DAQ oraz dedykowanych aplikacji pomiarowych DAQ. Przedstawiono koncepcje trzech różnych sposobów takiego pomiaru. W pierwszym sposobie, nazywanym ''częstotliwościowym'', pomiar odbywa się poprzez bramkowane zliczanie impulsów enkodera. Drugi sposób nazywany ''czasowym'' polega na...
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LCS efficiency methods of a mobile terminal in monitoring system applications
PublicationW artykule zostały zaprezentowane nowe metody lokalizowania terminala ruchomego w asynchronicznych sieciach komórkowych trzeciej generacji. Przedstawiono opis zastosowanego modelu symulacyjnego oraz wyniki badań symulacyjnych w środowisku tzw. złym miejskim.
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Adaptive traffic optimization using Variable Speed Limits; Adaptacyjna optymalizacja ruchu drogowego przy pomocy zmiennych ograniczeń prędkości
PublicationVariable speed limits (VSL) is an intelligent transportation system (ITS) solution for traffic management. The speed limits can be changed dynamically in order to adapt to traffic, weather, or road surface conditions. This paper presents an approach for such an adaptive traffic control where the primary goal is to ensure traffic safety and efficiency of the traffic control system (fast response to dynamically changing traffic,...
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Transmission Protocol Simulation Framework For The Resource-Constrained Wireless Sensor Network
PublicationIn this paper a prototype framework for simulation of wireless sensor network and its protocols are presented. The framework simulates operation of a sensor network with data transmission, which enables simultaneous development of the sensor network software, its hardware and the protocols for wireless data transmission. An advantage of using the framework is converging simulation with the real software. Instead of creating...
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Electrical and noise responses of carbon nanotube networks enhanced by UV light for detection of organic gases (ethanol, acetone)
Open Research DataCarbon nanotube networks of different optical transparencies were investigated via resistance and 1/f noise measurements for detection of ethanol and acetone. The sensor resistive and noise responses were collected for dark and UV-assisted conditions, revealing the improvement in sensor sensitivity and limit of detection after applying UV light (275...
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Improving Accuracy of Contactless Respiratory Rate Estimation by Enhancing Thermal Sequences with Deep Neural Networks
PublicationEstimation of vital signs using image processing techniques have already been proved to have a potential for supporting remote medical diagnostics and replacing traditional measurements that usually require special hardware and electrodes placed on a body. In this paper, we further extend studies on contactless Respiratory Rate (RR) estimation from extremely low resolution thermal imagery by enhancing acquired sequences using Deep...
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Dynamic effect of the vehicle passing under lightweight footbridge.
PublicationThe paper describes a numerical study of dynamic response of cable-stayed steel footbridge for a big lorry passing underneath. The footbridge is an existing object crossing Wolska street in Warsaw. The structural model of footbridge was verified by dynamic test loading. A numerical study of a vehicle passing under footbridge is presented. 2D and 3D incompressible flow fields are modeled using sliding mesh in transient CFD computation....
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Adsorption chiller in a combined heating and cooling system: simulation and optimization by neural networks
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EFFICIENCY OF HEALTHCARE SYSTEMS IN EUROPEAN COUNTRIES - THE DEA NETWORK APPROACH
PublicationHealthcare systems in Europe are constantly undergoing reforms which adapt them to social, economic and political requirements. The aim of this article is to examine the efficiency of healthcare systems in 30 European countries in 2014. The Network Data Envelopment Analysis (NDEA) model was used. The efficiency of the countries’ overall health systems and their two main components were examined: the public health system and the...
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Information-driven network resilience: Research challenges and perspectives
PublicationInternet designed over 40 years ago was originally focused on host-to-host message delivery in a best-effort manner. However, introduction of new applications over the years have brought about new requirements related with throughput, scalability, mobility, security, connectivity, and availability among others. Additionally, convergence of telecommunications, media, and information technology was responsible for transformation...
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Data Mining 2022/2023
e-Learning CoursesThis is a web page for our course in Data Mining.
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Data Mining 2021/2022
e-Learning CoursesThis is a web page for our course in Data Mining.
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Epoxy/Ionic Liquid-Modified Mica Nanocomposites: Network Formation–Network Degradation Correlation
PublicationWe synthesized pristine mica (Mica) and N-octadecyl-N’-octadecyl imidazolium iodide (IM) modified mica (Mica-IM), characterized it, and applied it at 0.1–5.0 wt.% loading to prepare epoxy nanocomposites. Dynamic differential scanning calorimetry (DSC) was carried out for the analysis of the cure potential and kinetics of epoxy/Mica and epoxy/Mica-IM curing reaction with amine curing agents at low loading of 0.1 wt.% to avoid particle...
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Transfer(Spain)
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Condition monitoring of wind turbines based on cointegration analysis of gearbox and generator temperature data
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N-way modelling of sediment monitoring data from Mar Menor lagoon, Spain
PublicationW artykule przedstawiono zastosowanie modelowania typu Tucker3 dla danych pochodzących z monitorowania chemizmu osadów obszaru laguny Mar Menor w Hiszpanii. Celem badania jest modelowanie i interpretacja frakcjonowania metali ciężkich w materii zawieszonej i frakcjach osadów wynikających z procesów sedymentacyjnych. Modelowanie ma na celu oszacowanie ryzyka środowiskowego ponieważ działalność ludzka ma znaczny wpływ na stan laguny....
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Cameras, microphones, and data storage in current monitoring systems.Technology trends, problems and potential solutions
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Generalized access control in hierarchical computer network
PublicationThe paper presents the design of the security layer for a distributed system located in the multizone hierarchical computer network. Depending on the zone from which a client’s request comes to the system and the type of the request, it will be either authorized or rejected. There is one common layer for the access to all the business services and interactions between them. Unlike the commonly used RBAC model, this system enforces...
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ANALYSIS AND OPTIMIZATION OF ELECTRIC VEHICLE CHARGING PROCESSES IN TRANSACTIVE ENERGY SYSTEMS
PublicationThe implementation of smart charging of electric vehicles allows operators of local power networks and electricity suppliers to implement new business models for the interaction of electric vehicles with the network. In addition to the optimal selection of Microgrid capacities when charging electric vehicles, it is also important to use different charging methods. To satisfy the interests of all participants of local systems from...
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Method for Clustering of Brain Activity Data Derived from EEG Signals
PublicationA method for assessing separability of EEG signals associated with three classes of brain activity is proposed. The EEG signals are acquired from 23 subjects, gathered from a headset consisting of 14 electrodes. Data are processed by applying Discrete Wavelet Transform (DWT) for the signal analysis and an autoencoder neural network for the brain activity separation. Processing involves 74 wavelets from 3 DWT families: Coiflets,...
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User Orientation Detection in Relation to Antenna Geometry in Ultra-Wideband Wireless Body Area Networks Using Deep Learning
PublicationIn this paper, the issue of detecting a user’s position in relation to the antenna geometry in ultra-wideband (UWB) off-body wireless body area network (WBAN) communication using deep learning methods is presented. To measure the impulse response of the channel, a measurement stand consisting of EVB1000 devices and DW1000 radio modules was developed and indoor static measurement scenarios were performed. It was proven that for...
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Deep Learning: A Case Study for Image Recognition Using Transfer Learning
PublicationDeep learning (DL) is a rising star of machine learning (ML) and artificial intelligence (AI) domains. Until 2006, many researchers had attempted to build deep neural networks (DNN), but most of them failed. In 2006, it was proven that deep neural networks are one of the most crucial inventions for the 21st century. Nowadays, DNN are being used as a key technology for many different domains: self-driven vehicles, smart cities,...
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Propulsion System Analysis Based on Particle Image Velocimetry Method in Biomimetic Unmanned Underwater Vehicle
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Moving object detection and tracking for the purpose of multimodal surveillance system in urban areas
PublicationBackground subtraction method based on mixture of Gaussians was employed to detect all regions in a video frame denoting moving objects. Kalman filters were used for establishing relations between the regions and real moving objects in a scene and for tracking them continuously. The objects were represented by rectangles. The objects coupling with adequate regions including the relation of many-to-many was studied experimentally...
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Comparison of selected clustering algorithms of raw data obtained by interferometric methods using artificial neural networks
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Analytical model with non-adiabatic effects for pressure drop and heat transfer during boiling and condensation flows in conventional channels and minichannels
PublicationIn the paper a method developed earlier by authors is applied to calculations of pressure drop and heat transfer coefficient for boiling flow and condensation flow with account of non- adiabatic effects for some recent data collected from literature. The first effect, the modification of interface shear stresses in annular flow pattern is considered through incorporation of the so called "blowing parameter". The mechanism of...
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Analysis of the Impact of Charging Electric Cars on the Power System Load
PublicationThe paper presents ways of integrating electric cars with the power system. In connection with this, daily load curves in the average working day have been developed in the G2V (Grid-to-Vehicle) and V2G (Vehicle-to-Grid) variants. The G2V solution consists in unidirectional energy flow from the power system to a vehicle’s battery. The V2G solution consists in bi-directional energy exchange between the power system and electric...
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Near-Infrared III Nanophosphorswith Cr3+Ni2+ Energy Transfer for Bioimaging
Open Research DataIn the biomedical field, the use of fluorescence imaging in the second near-infrared (NIR-II) region is growing rapidly because it imparts the advantages of reduced autofluorescence and low photon scattering. The advantage of reduced scattering is that it increases penetration depth in vivo and improves imaging clarity. Herein, this work uses mesoporous...
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Radiation Detection Technology and Methods
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Condition-Based Monitoring of DC Motors Performed with Autoencoders
PublicationThis paper describes a condition-based monitoring system estimating DC motor degradation with the use of an autoencoder. Two methods of training the autoencoder are evaluated, namely backpropagation and extreme learning machines. The root mean square (RMS) error in the reconstruction of successive fragments of the measured DC motor angular-frequency signal, which is fed to the input of autoencoder, is used to determine the health...
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Minimizing Distribution and Data Loading Overheads in Parallel Training of DNN Acoustic Models with Frequent Parameter Averaging
PublicationIn the paper we investigate the performance of parallel deep neural network training with parameter averaging for acoustic modeling in Kaldi, a popular automatic speech recognition toolkit. We describe experiments based on training a recurrent neural network with 4 layers of 800 LSTM hidden states on a 100-hour corpora of annotated Polish speech data. We propose a MPI-based modification of the training program which minimizes the...
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Methods of Network Resource Provisioning for the Future Internet IIP Initiative
PublicationIn this paper, we present specification, design and implementation aspects of a network resource provisioning module introduced for the Polish Initiative of Future Internet called System IIP. In particular, we propose a set of novel LP optimization models of network resource provisioning designed to minimize the network resource consumption, either bandwidth or node’s computational power, as well as to maximize the residual capacity....
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Tomasz Dziubich dr inż.
PeopleScientific projects and grants Internet platform for data integration and collaboration of medical research teams for the stroke treatment centers 2013 - 2016 MAYDAY EURO 2012 Supercomputer Platform for Context Analysis of Data Streams in Identification of Specified Objects or Hazardous Events – task 4.2 (Development of algorithms and applications supporting medical diagnosis), 2008-2012 Other GrandPrix on trade show ...
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Transmission protocol simulation framework for the resource-constrained sensor network
PublicationIn this paper the simulation framework for simulation of the sensor network protocol is presented. The framework enables the simultaneous development of the sensor network software and the protocol for the wireless data transmission. The advantage of using the framework is the convergence of the simulation with the real software, because the same software is used in real sensor network nodes and in the simulation framework. The...
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Promet-Traffic & Transportation
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Traffic Injury Prevention
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Qualitative data analysis methods
e-Learning CoursesThis is the continuation of Qualitatative Data Analysis Methods course provided online
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Data librarian and data steward – new tasks and responsibilities of academic libraries in the context of Open Research Data implementation in Poland
PublicationThesis/Objective – The policy of Open Access (OA) for researching resources in Europe has been implemented for more than 10 years. The first recommendations concerning providing OA to scientific materials were defined during the implementation of the 7th Framework Programme. Introducing another set of recommendations concerning OA to research data was the next stage. The recommendations were transformed into obligations under the...
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Energy consumption optimization in wastewater treatment plants: Machine learning for monitoring incineration of sewage sludge
PublicationBiomass management in terms of energy consumption optimization has become a recent challenge for developed countries. Nevertheless, the multiplicity of materials and operating parameters controlling energy consumption in wastewater treatment plants necessitates the need for sophisticated well-organized disciplines in order to minimize energy consumption and dissipation. Sewage sludge (SS) disposal management is the key stage of...
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MANAGEMENT AND ENVIRONMENT MONITORING 2021/22 - summer
e-Learning CoursesThe course is dedicated to students at 3 semester of Environmental Engineering. The subject is related to two issues. First is monitoring of the environment- different component of the environment like water, air, soil. Conditions necessary for reliable monitoring and analysis of the results of this monitoring are also discussed. Second is management and covers: Historical development of environmental strategies for protection...
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MANAGEMENT AND ENVIRONMENT MONITORING 2022/23 - summer
e-Learning CoursesThe course is dedicated to students at 3 semester of Environmental Engineering. The subject is related to two issues. First is monitoring of the environment- different component of the environment like water, air, soil. Conditions necessary for reliable monitoring and analysis of the results of this monitoring are also discussed. Second is management and covers: Historical development of environmental strategies for protection...
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MANAGEMENT AND ENVIRONMENT MONITORING 2022/23 - winter
e-Learning CoursesThe course is dedicated to students at 3 semester of Environmental Engineering. The subject is related to two issues. First is monitoring of the environment- different component of the environment like water, air, soil. Conditions necessary for reliable monitoring and analysis of the results of this monitoring are also discussed. Second is management and covers: Historical development of environmental strategies for protection...
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Management and Environmental Monitoring 2023/2024 - winter
e-Learning CoursesThe course is dedicated to students at 3 semester of Environmental Engineering. The subject is related to two issues. First is monitoring of the environment- different component of the environment like water, air, soil. Conditions necessary for reliable monitoring and analysis of the results of this monitoring are also discussed. Second is management and covers: Historical development of environmental strategies for protection...
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Automatic system for audio-video material reconstruction and archiving
PublicationReferat przedstawia propozycję modelu systemu automatycznej archiwizacji i rekonstrukcji nagrań audio-wideo. Założeniem tego rozwiązania jest uczynienie procesu rekonstrukcji nagrań bardziej niezależnym od człowieka. Ma to na celu redukcję kosztów rekonstrukcji przetwarzanych nagrań. Z powodu dużej liczby archiwalnych nagrań audio-wideo istnieje potrzeba stworzenia systemu który umożliwi automatyczną indeksację ich treści. Pomoże...
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Detection of ferromagnetic objects in local magnetic anomaly of the Baltic Sea
PublicationIn geological researches several kinds of methods are applied to discovering the natural resources. Planes, helicopters and UAVs (UnmAnned Vehicle) are used in researches in large areas. The gravity, electromagnetic and magnetic methods, which are used in geological researches, are presented in this paper. The special attention was paid to magnetic systems installed on mobile platforms. The magnetic field of the Earth obtained...
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Agricultural products' storage control system
PublicationThe paper discusses the idea and the design of a remote control system for storage management of agricultural products which temperature may rise as the result of biological processes during the storage. An actual potatoes storehouse is discussed as an application for the proposed automation system. Because of existing buildings and infrastructure at the farm, wireless data transfer system has been proposed for communication between...
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Safety assessment of a concrete viaduct damaged by vehicle impact and an evaluation of the repair
PublicationDamage to lower parts of viaducts caused by impact from under-passing high vehicles is relatively frequent. One such incident, in which a viaduct was damaged by the impact from a truck with an improperly assembled hydraulic crane, is considered in this work. The analysis is based on a detailed object damage evaluation, 3D laser scanning, and numerical simulations. The aim of the study is to accurately model the vehicle impact into...
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The influence of accumulation area and the length of pedestrian route on functioning of roundabouts with traffic signals
Publicationtraffic volumes. This kind of intersection is commonly used in the centres of Polish cities on multilane roads and fairly common in the case of tram lines running through a central island. The increase of traffic flow volumes on left turn and U-turn has made this type of roundabout difficult to operate. Small storage areas around central islands are critical places that significantly influence the capacity of this kind of intersection....
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Identification of acoustic event of selected noise sources in a long-term environmental monitoring systems
PublicationABSTRACT Undertaking long-term acoustic measurements on sites located near an airport is related to a problem of large quantities of recorded data, which very often represents information not related to flight operations. In such areas, usually defined as zone of limited use, often other sources of noise exist, such as roads or railway lines treated is such context as acoustic background. Manual verification of such recorded data...