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Wyniki wyszukiwania dla: historian data anonymization
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Architecture of security and application layer structure of radio system for monitoring and acquisition of data from traffic enforcement cameras
PublikacjaThe study presents architecture of security and application layer structure of Radio System for Monitoring and Acquisition of Data from Traffic Enforcement Cameras. It also provides general assumptions concerning the range of the system as well as its modules and application components.
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Microseismic Monitoring of Hydraulic Fracturing - Data Interpretation Methodology With an Example from Pomerania
PublikacjaMicroseismic monitoring is a method for localizing fractures induced by hydraulic fracturing in search for shell gas. The data is collected from an array of geophones deployed on the surface or underground. Ground vibrations are recorded and analysed for fracture location, magnitude and breakage mechanism. For successful microseismic monitoring one need a velocity model of underlying formations. The model is further tuned with...
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DK16 Mrągowo-Ełk 2017- video data
Dane BadawczeDK16 Mrągowo-Ełk 2017- video data
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Gdansk 2020, Bema street - video data - pedestrian, bicycles, vehicles
Dane BadawczeThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at Bema street (Bema – Kartuska crossing). Date 06.08.2020 6:00-22:00. The video camera was installed around bicycle crossings and pedestrian crossings at crossing. Camera was mounted on 7-meter-high mast.
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Seafloor characterisation using multibeam data: sonar image properties, seabed surface properties and echo properties
PublikacjaIn the paper, the approach to seafloor characterisation is presented. The multibeam sonars, besides their well verified and widely used applications like high resolution bathymetry and underwater object detection and imaging, are also the promising tool in seafloor characterization and classification, having several advantages over conventional single beam echosounders. The proposed approach relies on the combined, concurrent use...
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Health System Efficiency in European Countries: Network Data Envelopment Analysis Approach
PublikacjaPurpose: The article's main aim is to investigate the effectiveness of health systems in European countries based on EUROSTAT data. A comparative analysis of the health systems' effectiveness in different countries is based on their improvement (reform), using the best practices approach. Design/Methodology/Approach: The network DEA model and a slack-based model (NDEA – SBM) are used. A non-oriented model is used. The research...
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Active Annotation in Evaluating the Credibility of Web-Based Medical Information: Guidelines for Creating Training Data Sets for Machine Learning
PublikacjaMethods Results Discussion References Abbreviations Copyright Abstract Background: The spread of false medical information on the web is rapidly accelerating. Establishing the credibility of web-based medical information has become a pressing necessity. Machine learning offers a solution that, when properly deployed, can be an effective tool in fighting medical misinformation on the web. Objective: The aim of this study is to...
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Post processing and selecting data obtain with parametric sub-bottom profiler SES-2000 Standard during sounding the Gulf of Gdansk
PublikacjaThe main goal of the paper is to describe the results of sounding the Gulf of Gdansk seabed using a parametric sub-bottom profiler SES-2000 Standard. Quality of obtained during trials data depends inter alia on proper location of antenna to reduce influence of pitch, roll, heave and ship noise (bubbles from propeller and a hull flow, vibration from main engine and peripheral devices). Furthermore calibration of complementary units...
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3D seafloor reconstruction using data from side scan and synthetic aperture sonar
PublikacjaSide scan and synthetic aperture sonars are widely used imaging systems in the underwater environment. They are relatively cheap and easy to deploy, in comparison with more powerful sensors, like multibeam echosounders. Although side scan and synthetic aperture sonars does not provide seafloor bathymetry directly, their records are finally related to seafloor images. Moreover, the analysis of such images performed by human eye...
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Data-Driven Surrogate-Assisted Optimization of Metamaterial-Based Filtenna Using Deep Learning
PublikacjaIn this work, a computationally efficient method based on data driven surrogate models is pro-posed for the design optimization procedure of a Frequency Selective Surface (FSS)-based filtering antenna (Filtenna). A Filtenna acts as a as module that simultaneously pre-filters unwanted sig-nals, and enhances the desired signals at the operating frequency. However, due to a typically large number of design variables of FSS unit elements,...
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High Resolution Sea Ice Floe Size and Shape Data from Knox Coast, East Antarctica
PublikacjaThis dataset contains floe size distribution data from a very high resolution (pixel size: 0.3 m) optical satellite image of sea ice, acquired on 16 Feb. 2019 off the Knox Coast (East Antarctica). The image shows relatively small ice floes produced by wave-induced breakup of landfast ice between Mill Island and Bowman Island. The ice floes are characterised by a narrow size distribution and angular, polygonal shapes, typical...
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Data-driven models for fault detection using kernel pca:a water distribution system case study
PublikacjaKernel Principal Component Analysis (KPCA), an example of machine learning, can be considered a non-linear extension of the PCA method. While various applications of KPCA are known, this paper explores the possibility to use it for building a data-driven model of a non-linear system-the water distribution system of the Chojnice town (Poland). This model is utilised for fault detection with the emphasis on water leakage detection....
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Fast multi-objective optimization of antenna structures by means of data-driven surrogates and dimensionality reduction
PublikacjaDesign of contemporary antenna structures needs to account for several and often conflicting objectives. These are pertinent to both electrical and field properties of the antenna but also its geometry (e.g., footprint minimization). For practical reasons, especially to facilitate efficient optimization, single-objective formulations are most often employed, through either a priori preference articulation, objective aggregation,...
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Application of the Msplitmethod for filtering airborne laser scanning data-sets to estimate digital terrain models
PublikacjaALS point cloud filtering involves the separation of observations representing the physical terrain surface from those representing terrain details. A digital terrain model (DTM) is created from a subset of points representing the ground surface. The accuracy of the generated DTM is influenced by several factors, including the survey method used, the accuracy of the source data, the applied DTM generation algorithm, and the survey...
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Gdansk 2020, Grunwaldzka (E) street - video data - pedestrian, bicycles, vehicles
Dane BadawczeGdansk 2020, Grunwaldzka (E) street - video data - pedestrian, bicycles, vehicles
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Park and Ride system in Gdansk 2020- video traffic data
Dane BadawczePark and Ride system in Gdansk 2020- video traffic data
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Reliable data-driven modeling of high-frequency structures by means of nested kriging with enhanced design of experiments
PublikacjaData-driven (or approximation) surrogate models have been gaining popularity in many areas of engineering and science, including high-frequency electronics. They are attractive as a way of alleviating the difficulties pertinent to high computational cost of evaluating full-wave electromagnetic (EM) simulation models of microwave, antenna, and integrated photonic components and devices. Carrying out design tasks that involve massive...
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Are creative users more apt in reusing and adopting Open Government Data (OGD)? Gender differences
PublikacjaOpen Government Data (OGD) has been considered as a potent instrument for value creation and innovation by a range of stakeholders. Given that individual ingenuity is a function of individual and environmental factors, it is important to understand how the OGD adoption and usage is a factor of creative performance behaviors (CPB), viz., Problem Identification (PI), Information Search (IS), Idea Generation (IG) and Idea Promotion...
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Góra Kalwaria 2018 - video data - pedestrian, bicycles, vehicles
Dane BadawczeGóra Kalwaria 2018 - video data - pedestrian, bicycles, vehicles
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Buried Object Characterization Using Ground Penetrating Radar Assisted by Data-Driven Surrogate-Models
PublikacjaThis work addresses artificial-intelligence-based buried object characterization using 3-D full-wave electromagnetic simulations of a ground penetrating radar (GPR). The task is to characterize cylindrical shape, perfectly electric conductor (PEC) object buried in various dispersive soil media, and in different positions. The main contributions of this work are (i) development of a fast and accurate data driven surrogate modeling...
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Lubraniec 2020 - video data - pedestrian, bicycles, vehicles
Dane BadawczeLubraniec 2020 - video data - pedestrian, bicycles, vehicles
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Gdansk 2020, Krynicka (S) street - video data - pedestrian, bicycles, vehicles
Dane BadawczeThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at Krynicka (S) street. Date 11.08.2020, 6:00-20:00. The video camera was installed around bicycle crossings and pedestrian crossings at Krynicka - Kolobrzeska crossing. Camera was mounted on 7-meter-high mast.
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Automated Valuation Model based on fuzzy and rough set theory for real estate market with insufficient source data
PublikacjaObjective monitoring of the real estate value is a requirement to maintain balance, increase security and minimize the risk of a crisis in the financial and economic sector of every country. The valuation of real estate is usually considered from two points of view, i.e. individual valuation and mass appraisal. It is commonly believed that Automated Valuation Models (AVM) should be devoted to mass appraisal, which requires a large...
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The role and importance of WIMAX mobile system as a high-performance data transfer technology in wireless sensor networks for wide area monitoring applications
PublikacjaThe study discuses basic features and functional design of WiMAX Mobile system, based on the IEEE 802.16e (Release 1.5 Rev. 2.0) standard. The analysis has been made in terms of ability to use this system to transmit video stream related to monitoringof large agglomeration areas. What is more, the study includes comparison of technical parameters of WiMAX Mobile system with competitive systems such as: HSPA+ and UMTS-LTE, which...
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DW221 Kościerzyna 2020 - video data - pedestrian, bicycles, vehicles
Dane BadawczeKościerzyna 2020 - video data - pedestrian, bicycles, vehicles
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Revisions of the SMS maintenance procedures based on computerized PMS data
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On a Certain Research Gap in Big Data Mining for Customer Insights
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Reproducibility of Finding Enriched Gene Sets in Biological Data Analysis
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Gaussian Mixture Decomposition of Time-Course DNA Microarray Data
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Measures for interoperability of phenotypic data: minimum information requirements and formatting
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On intermolecular potential determination via equations of state and by acoustic data
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An A-Team Approach to Learning Classifiers from Distributed Data Sources
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An A-Team approach to learning classifiers from distributed data sources
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Ellipsometric data analysis used in on-line metal passivation monitoring
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Fusion of data from AIS and tracking radar for the needs of ECDIS
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Advanced camera image data acquisition system for Pi-of-the-Sky
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Versatile prototyping platform for Data Processing Boards for CBM experiment
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The estimation of norwegian cod size distribution from acoustic data
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Elipsometric data analysis used in on-line metal passivation monitoring
PublikacjaWykorzystano technikę elipsometrii monochromatycznej do opisu on-line warstw tlenkowych, elektroosadzanych na miedzi. Elipsometria jest w stanie dostarczyć informacji odnośnie grubości i współczynników załamania światła układów warstwowych, jednakże wymagane w tym celu jest zbudowanie matematycznego modelu odwzorowującego stałe optyczne układu badanego. W powyższej pracy przedyskutowane zostały różne metody dopasowywania modelu...
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The atherosclerotic heart disease and protecting properties of garlic: contemporary data
PublikacjaArtykuł jest pracą przeglądową zawierającą najnowsze dane dotyczące choroby serca w przebiegu miażdżycowym oraz ochonnych właściwości czosnku. Obecnie prowadzone badania wykazały fundamentalną rolę jaką odgrywa czosnek we wszystkich stadiach choroby. Liczne badania in-vitro potwierdzają zdolność czosnku do redukcji parametrów zachorowania na choroby serca w przebiegu miażdżycy: całkowity cholesterol, LDL, trigliceryny, utlenione...
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Measuring the Efficiency of Polish Municipalities – Data Envelopment Analysis Approach
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Construction of index generation unit using probabilistic data structures
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METHODS FOR THE IDENTIFICATION OF CYBER RISKS: AN ANALYSIS BASED ON PATENT DATA
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The Analysis of Green Areas’ Accessibility in Comparison with Statistical Data in Poland
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Generating training data for SART-2 keystroke analysis module
PublikacjaAnaliza dynamiki pisania na klawiaturze jest jedną z technik biometrycznych, które uwzględniają cechy behawioralne. Trudność związana z informacja na temat dynamiki pisania na klawiaturzepolega na tym, że są to dane bardzo niestabilne. Artykuł prezentuje krótko rozwiązanie wykorzystane w celu zbierania danych uczących oraz ekstrakcji cech dla systemu uwierzytelniania użytkownika na podstawie sposobu korzystania z klawiatury. Następnie...
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GBTX Emulation for BM@N/MPD Data Acquisition Systems
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Mining e-mail message sequences from log data
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Method of data anomaly detection in the process of mobile applications installation
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Real-Time Multimedia Stream data Processing in a Supercomputer Environment
PublikacjaRozdział opisuje doświadczenia uzyskane przez autorów podczas pracy w projekcie MAYDAY EURO 2012. Przedstawiono główny cel projektu - stworzenie systemu umożliwiającego rozwijanie i równolegle wykonywanie usług multimedialnych w środowisku klastra obliczeniowego dużej mocy. opisano tematykę przetwarzania dużej liczby strumieni multimedialnych na komputerach dużej mocy. Następnie zaprezentowano możliwości platformy KASKADA: tworzenie...
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3D Imaging Of Underwater Objects Using Multi-Beam Data
PublikacjaOne of the main applications of multibeam sonars is high resolution bathymetry measurement, as well as detecting and imaging of underwater objects like shipwrecks. In order to obtain the visualisation quality good enough to allow the researcher to investigate an object in more detail, the approach relying on construction of three-dimensional model of an imaged object, e.g. consisting of nodes, edges and plane elements (facets)...