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Search results for: NMEA DATA
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Model of an Integration Bus of Data and Ontologies of Smart Cities Processes
PublicationThis paper presents a model of an integration bus used in the design of Smart Cities system architectures. The model of such a bus becomes necessary when designing high-level architectures, within which the silo processes of the organization should be seen from the perspective of its ontology. For such a bus to be used by any city, a generic solution was proposed which can be implemented as a whole or in part depending on the requirements...
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Urban Freight Transport Demand Modelling and Data Availability Constraints
PublicationThe paper provides a review of urban freight transport demand modelling approaches confronted with constrains regarding adequate data provision from a perspective of the local authorities. Demand estimation models has been selected as a reference because they are the most representative in terms of inclusion of urban freight indicators which can be transformed into a decision-support tool for evaluation of freight measures. The...
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Export diversification and economic development: A dynamic spatial data analysis
PublicationThis paper contributes to the empirical literature on the relationship between “export variety” (export diversification) and economic development by relaxing the assumption of cross-country independence and allowing for spatial diffusion of shocks in observed and unobserved factors. Export variety is measured for a balanced panel of 114 countries (1992–2012) using very detailed information on their exports (HS 6-digit product level)....
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Fragmentation of Hydrographic Big Data Into Subsets During Reduction Process
PublicationThe article presented problems of fragmentation of hydrographic big data into smaller subsets during reduction process. Data reduction is a processing of reduce the value of the data set, in order to make them easier and more effective for the goals of the analysis. The main aim of authors is to create new reduction method. The article presented the first stage of this method – fragmentation of bathymetric data into subsets. It...
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Platelet RNA Sequencing Data Through the Lens of Machine Learning
PublicationLiquid biopsies offer minimally invasive diagnosis and monitoring of cancer disease. This biosource is often analyzed using sequencing, which generates highly complex data that can be used using machine learning tools. Nevertheless, validating the clinical applications of such methods is challenging. It requires: (a) using data from many patients; (b) verifying potential bias concerning sample collection; and (c) adding interpretability...
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Shoreline Extraction Based on LiDAR Data Obtained Using an USV
PublicationThis article explores the use of Light Detection And Ranging (LiDAR) derived point clouds to extract the shoreline of the Lake Kłodno (Poland), based on their geometry properties. The data collection was performed using the Velodyne VLP‐16 laser scanner, which was mounted on the HydroDron Unmanned Surface Vehicle (USV). A modified version of the shoreline extraction method proposed by Xu et al. was employed, comprising of the following...
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Applications of Chebyszehev minimax deconvolution filtering to the estimation of deterended data
PublicationW pracy wyznaczono empirycznie, że sygnał wyjściowy rozplotowego filtru względem nieparzystej pary impulsów Kroneckera , z użyciem minimaksowej normy Czebyszewa, jest bardzo "bliski" pozbawionemu trendu sygnałowi wejściowemu. Obliczenia dla znacząco dużej liczby rzeczywistych danych z rynków kapitałowych i walutowych wykazały, że średnia miara rzeczonej "bliskości" , określona definicją znormalizowanego w L2 współczynnika kowariancji,...
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ACM Transactions on Knowledge Discovery from Data
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International Journal of Business Data Communications and Networking
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International Journal of Multimedia Data Engineering & Management
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International Journal of Spatial Data Infrastructures Research
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International Journal of Data Mining Modelling and Management
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Journal of Direct, Data and Digital Marketing Practice
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International Journal of Business Intelligence and Data Mining
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International Journal of Data Analysis Techniques and Strategies
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International Journal of Information Management Data Insights
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Sampling Theory, Signal Processing, and Data Analysis
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Research Data Journal for the Humanities and Social Sciences
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<title>Synchronous optical transmission data link integrated with FPGA for TESLA FEL SIMCON system: long data vector optical transceiver module tests</title>
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Using Isolation Forest and Alternative Data Products to Overcome Ground Truth Data Scarcity for Improved Deep Learning-based Agricultural Land Use Classification Models
PublicationHigh-quality labelled datasets represent a cornerstone in the development of deep learning models for land use classification. The high cost of data collection, the inherent errors introduced during data mapping efforts, the lack of local knowledge, and the spatial variability of the data hinder the development of accurate and spatially-transferable deep learning models in the context of agriculture. In this paper, we investigate...
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Daily Radiation Budget of the Baltic Sea Surface from Satellite Data
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Use of Satellite Data in Monitoring of Hydrophysical Parameters of the Baltic Sea Environment
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Comparison of Selected Reduction Methods of Bathymetric Data Obtained by Multibeam Echosounder
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The influence of climate change on the life insurance in the EU: A panel data approach
PublicationThe financial sector, as one of the most sensitive economic sectors, is alert to all trends and changes in the environment. The aim of the article is to study the impact of climate change on the life insurance market using panel data from 28 countries of the European Union (EU) for the last 9 years. This study is based on a panel model, where the amount of premiums under life insurance contracts is defined as a function of the...
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Mitigation of Fake Data Content Poisoning Attacks in NDN via Blockchain
PublicationAbstract—Information-centric networks struggle with content poisoning attacks (CPAs), especially their stronger form called Fake Data CPA, in which an intruder publisher uploads content signed with stolen credentials. Following an existing graphinfection based approach leveraging the constrained time when stolen credentials are useful, we design a blockchain-based mitigation scheme for Named Data Networking architectures. We postulate...
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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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Proposition of the methodology for Data Acquisition, Analysis and Visualization in support of Industry 4.0
PublicationIndustry 4.0 offers a comprehensive, interlinked, and holistic approach to manufacturing. It connects physical with digital and allows for better collaboration and access across departments, partners, vendors, product, and people. Consequently, it involves complex designing of highly specialized state of the art technologies. Thus, companies face formidable challenges in the adoption of these new technologies....
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Data Acquisition and Processing for GeoAI Models to Support Sustainable Agricultural Practices
PublicationThere are growing opportunities to leverage new technologies and data sources to address global problems related to sustainability, climate change, and biodiversity loss. The emerging discipline of GeoAI resulting from the convergence of AI and Geospatial science (Geo-AI) is enabling the possibility to harness the increasingly available open Earth Observation data collected from different constellations of satellites and sensors...
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Review and comparison of smoothing algorithms for one-dimensional data noise reduction
PublicationThe paper considers the choice of parameters of smoothing algorithms for data denoising. The impact of the window size on smoothing accuracy was analyzed. The parameters of denoising filters were selected with respect to the meansquare error between the computed linear regression and the noisy signal. Finally, we have compared mean, median, SavitzkyGolay, Kalman and Gaussian filter algorithms for the data from the digital sensor....
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Assessing Highway Travel Time Reliability using Probe Vehicle Data
PublicationProbe vehicle data (also known as “floating car data”) can be used to analyze travel time reliability of an existing road corridor in order to determine where, when, and how often traffic congestion occurs at particular road segments. The aim of the study is to find the best reliability performance measures for assessing congestion frequency and severity based on probe data. Pilot surveys conducted on A2 motorway in Poland confirm...
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Improved Uniform Sampling in Constrained Domains for Data-Driven Modelling of Antennas
PublicationData-driven surrogate modelling of antenna structures is an attractive way of accelerating the design process, in particular, parametric optimization. In practice, construction of surrogates is hindered by curse of dimensionality as well as wide ranges of geometry parameters that need to be covered in order to make the model useful. These difficulties can be alleviated by constrained performance-driven modelling with the surrogate...
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Deep Data Analysis of a Large Microarray Collection for Leukemia Biomarker Identification
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Optimization of river network representation data models for web-based systems
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Workstation for training asw helicopter navigators and analysis real flight data
PublicationW artykule opisane zostało stanowisko szkoleniowo-diagnostyczne i analizy danych skonstruowane z przeznaczeniem dla nawigatorów śmigłowców ASW eksploatowanych w polskiej Marynarce Wojennej i zainstalowane w bazie śmigłowców. Umożliwia ono prowadzanie szkoleń i treningów w zakresie eksploatacji oraz wykonywanie analiz informacji zebranych przez nawigatorów podczas lotów z pokładowego sonaru ASW, odbiornika sygnałów z sonoboi i...
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Ecotoxicity and chemical sediment data classification by the useof self-organising maps
PublicationArtykuł dotyczy przedstawiania nowej interpretacji szacowania jakości osadów. To oryginalne podejście bada powiązania między parametrami ekotoksyczności (ostrej i chronicznej) i składnikami chemicznymi (zanieczyszczenia takie jak polichlorowane bifenyle, pestycydy, wielopierścieniowe węglowodory aromatyczne, metale ciężkie) próbek osadów Jeziora Turawskiego (Polska) poprzez zastosowanie samoorganizujących się map (SOM) wobec badanego...
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Missing Verification of Source Data in Hypertension Research: The HYGIA PROJECT in Perspective
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New data on antihypertensive drugs and risk of cancer: should we worry?
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Sympathetic nervous system and arterial hypertension: new perspectives, new data
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Machine-to-Machine communication and data processing approach in Future Internet applications
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Structural Model of the Bilitranslocase Transmembrane Domain Supported by NMR and FRET Data
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Analysis of Isocratic-Chromatographic-Retention Data using Bayesian Multilevel Modeling
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Disk space allocation schemes for real-time data gathering applications
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Low-Level Aerial Photogrammetry as a Source of Supplementary Data for ALS Measurements
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A Comparison Study of Strategies for Combining Classifiers from Distributed Data Sources
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Stacking and rotation-based technique for machine learning classification with data reduction
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An Approach to Imbalanced Data Classification Based on Instance Selection and Over-Sampling
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Learning from Imbalanced Data Using Over-Sampling and the Firefly Algorithm
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Impact of Clustering on a Synthetic Instance Generation in Imbalanced Data Streams Classification
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A Comprehensive Framework for Measuring Governments’ Digital Initiatives Including Open Data
PublicationDigital innovation and digital initiatives are generally recognized and considered to be the driving forces behind firm survival and success in the market. This is not the case in the public sector, where digital initiatives have suffered not only from a lack of research trying to explain them but also from a major lack of recognition of their importance. The government’s eagerness to introduce more digital initiatives for better...
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A probabilistic model of ship performance in ice based on full-scale data
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