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Search results for: DATA CLUSTERING ANALYSIS
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Data acquisition methods for GEM detectors
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Management of Textual Data at Conceptual Level
PublicationThe article presents the approach to the management of a large repository of documents at conceptual level. We describe our approach to representing Wikipedia articles using their categories. The representation has been used to construct groups of similar articles. Proposed approach has been implemented in prototype system that allows to organize articles that are search results for a given query. Constructed clusters allow to...
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Generating molecular entities as structured data
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Ensemble Classifier for Mining Data Streams
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Multimedia data mining for e-Commerce.
PublicationPrzedstawiono studium porównawcze metod eksploracji danych dla e-Commerce.Skupiono się na studium przypadku aplikacji medycznych - wyszukiwania przypadków podobnych.
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Data gathering methods : review - questionnaire
PublicationArtykuł przedstawia koncepcję, pochodzenie oraz zastosowania dla jednej z metod oceny użyteczności - wywiadu, wraz z jego głównym narzędziem - ankietami. Stanowi część przeglądu dostępnych metod poprawy użyteczności.
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Data gathering methods : card sorting
PublicationArtykuł przedstawia koncepcję, pochodzenie oraz zastosowania dla jednej z metod oceny użyteczności i budowania menu w aplikacjach informatycznych - sortowania kart. Stanowi część przeglądu dostępnych metod poprawy użyteczności.
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Deduplication of Position Data and Global Identification of Objects Tracked in Distributed Vessel Monitoring System
PublicationVessel monitoring systems (VMS) play a very important role in safety navigation. In most cases, their structure is distributed and they are based on two data sources, namely Automatic Identification System (AIS) and Automatic Radar Plotting Aids (ARPA). Such approach results in several objects identification and position data duplication problems, which need to be solved in order to ensure the correct performance of a given VMS....
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Comparison of Traffic Flow Models with Real Traffic Data Based on a Quantitative Assessment
PublicationThe fundamental relationship of traffic flow and bivariate relations between speed and flow, speed and density, and flow and density are of great importance in transportation engineering. Fundamental relationship models may be applied to assess and forecast traffic conditions at uninterrupted traffic flow facilities. The objective of the article was to analyze and compare existing models of the fundamental relationship. To that...
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Modeling the Customer’s Contextual Expectations Based on Latent Semantic Analysis Algorithms
PublicationNowadays, in the age of Internet, access to open data detects the huge possibilities for information retrieval. More and more often we hear about the concept of open data which is unrestricted access, in addition to reuse and analysis by external institutions, organizations and people. It’s such information that can be freely processed, add another data (so-called remix) and then published. More and more data are available in text...
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The surface of the sensor used in the analysis of odorous substances
Open Research DataHuman industrial activity usually leads to smaller or larger interference with the ecosystem, contributing to changes affecting the quality of life. An example may be the emission of gaseous substances, not necessarily toxic, but due to their intense smell, they can cause discomfort to people exposed to their inhalation. The problem is so important...
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Increasing conclusiveness of metabonomic studies by cheminformatic preprocessing of capillary electrophoretic data on urinary nucleoside profiles
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Kinetic analysis of the stage for a high speed steam turbine
PublicationThis article analyzes possibilites of resonances within a control stage for a high speed steam turbine. This stage hase been based on assembling of a single blade to a rotating disk and increasing of rigidity of the system by using of a bandage. In the analysis will be nd a possiblity of resonance frequency, and mistuning by showing safety working ranges. The calculations have bean used the3D modal and harmonic analysis by the...
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Buried Object Characterization by Data-Driven Surrogates and Regression-Enabled Hyperbolic Signature Extraction
PublicationThis work addresses artificial-intelligence-based buried object characterization using FDTD-based electromagnetic simulation toolbox of a Ground Penetrating Radar (GPR) to generate B-scan data. In data collection, FDTD-based simulation tool, gprMax is used. The task is to estimate geophysical parameters of a cylindrical shape object of various radii, buried at different positions in the dry soil medium simultaneously and independently...
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Decision analysis (l/lab)_STACJ._winter 2021/22
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Processing of LiDAR and Multibeam Sonar Point Cloud Data for 3D Surface and Object Shape Reconstruction
PublicationUnorganised point cloud dataset, as a transitional data model in several applications, usually contains a considerable amount of undesirable irregularities, such as strong variability of local point density, missing data, overlapping points and noise caused by scattering characteristics of the environment. For these reasons, further processing of such data, e.g. for construction of higher order geometric models of the topography...
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Dynamic Data Management Among Multiple Databases for Optimization of Parallel Computations in Heterogeneous HPC Systems
PublicationRapid development of diverse computer architectures and hardware accelerators caused that designing parallel systems faces new problems resulting from their heterogeneity. Our implementation of a parallel system called KernelHive allows to efficiently run applications in a heterogeneous environment consisting of multiple collections of nodes with different types of computing devices. The execution engine of the system is open for...
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Analysis of positioning error and its impact on high frequency properties of differential signal coupler
PublicationThis paper presents the analysis of the effect of differential signal coupler positioning accuracy on its high frequency performance parameters for contact-less high speed chip-to-chip data transmission on PCB application. Our considerations are continuation of the previous works on differential signal coupler concept, design methodology and analysis for high speed data transmission monitoring. The theoretical analysis of possible...
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A comparative analysis of methods and tools for low impact development (LID) site selection
PublicationThe site selection for Low Impact Development (LID) practices is a significant process. It affects the effectiveness of LID in controlling stormwater surface runoff, volume, flow rate, and infiltration. This research paper presents a comprehensive review of various methods used for LID site selection. It starts by introducing different methods and tools. Three main methods: index-based methods, GIS-based multi-criteria decision...
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Multidimensional Scaling Analysis Applied to Music Mood Recognition
PublicationThe paper presents two experiments aimed at categorizing mood associated with music. Two parts of a listening test were designed and carried out with a group of students, most of whom where users of online social music services. The initial experiment was designed to evaluate the extent to which a given label describes the mood of the particular music excerpt. The second subjective test was conducted to collect the similarity data...
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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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IV Pomorska Konferencja Open Science - udostępnianie danych badawczych (sharing research data)
EventsTematyka Otwartej Nauki jest coraz bardziej rozpowszechniona. Zarówno udostępnianie wyników badań w postaci publikacji jak i danych badawczych jest coraz częściej wymogiem instytucji i agencji finansujących badania naukowe. Tworzone są liczne rekomendacje, dobre praktyki i polityki w zakresie wprowadzania otwartego dostępu. Celem konferencji jest zebranie...
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Operational Enhancement of Numerical Weather Prediction with Data from Real-time Satellite Images
PublicationNumerical weather prediction (NWP) is a rapidly expanding field of science, which is related to meteorology, remote sensing and computer science. Authors present methods of enhancing WRF EMS (Weather Research and Forecast Environmental Modeling System) weather prediction system using data from satellites equipped with AMSU sensor (Advanced Microwave Sounding Unit). The data is acquired with Department of Geoinformatics’ ground...
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Radio system for monitoring and acquisition of data from traffic enforcement cameras - features and assumptions of the system
PublicationThe study presents the architecture and selected functional assumptions of Radio System for Monitoring and Acquisition of Data from Traffic Enforcement Cameras (RSMAD). Ultimately, the system will be used for transmission and archiving image data of traffic offenses, but can also perform other duties related to traffic safety. Implementation of the RSMAD system will facilitate, inter alia, issuing the fine process and supervision...
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Anna Maria Trzaskowska dr inż.
PeopleAnna Maria Trzaskowska has been employed as an Assistant Professor at the Faculty of Management and Economics at the Department of Informatics in Management since 2017. For over 2 years she was the Deputy Head of the Department. A member of the Board of the Pomeranian Branch of the Polish Information Processing Society. Current scientific interests fall within the areas of agile methods, lean management in higher education, digitization...
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ArchBGal32cB 441Glu mutein gene analysis dataset
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Starogard Gdański 2019, Lubichowska - Pomorska street - video data - pedestrian, bicycles, vehicles
Open Research DataThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at Lubichowska street. Date 06.2019, 6:00-18:00. The video camera was installed around intersections at Lubichowska and Pomorska street. Camera was mounted on 7-meter-high mast.
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Starogard Gdański 2019, Pomorska - Pelplińska street - video data - pedestrian, bicycles, vehicles
Open Research DataThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at Pomorska street. Date 13.06.2019, 6:00-18:00. The video camera was installed around intersections at Pomorska and Pelplińska street. Camera was mounted on 7-meter-high mast.
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A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors
PublicationIn recent years, emotion recognition algorithms have achieved high efficiency, allowing the development of various affective and affect-aware applications. This advancement has taken place mainly in the environment of personal computers offering the appropriate hardware and sufficient power to process complex data from video, audio, and other channels. However, the increase in computing and communication capabilities of smartphones,...
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3D seafloor reconstruction using data from side scan and synthetic aperture sonar
PublicationSide 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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Use of Sensory Analysis Methods to Evaluate the Odor of Food and Outside Air
PublicationSensory analysis is applied in many areas of daily life. It is used to carry out the sensory evaluation of foodstuffs or other products and to evaluate the properties of odors present in the environment. The authors attempt to summarize the knowledge on the classification and application of sensory analysis methods to evaluate the odor nuisance of air, which allows the identification of sensory impressions and determination of...
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Values and problems analysis – Gdańsk-Lower City (Dolne Miasto) district case study, study proposal no 1, March 2021
Open Research DataThe data presents results of work within the studies of the development possibilities of the district in the context of the city, Gdańsk-Lower City (Dolne Miasto) district, study proposal no 1, from March 2021. The goal of the research process was to present the values and problems analysis of the area located in Gdańsk-Lower City (Dolne Miasto) district...
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Values and problems analysis – Gdańsk-Lower City (Dolne Miasto) district case study, study proposal no 3, March 2021
Open Research DataThe data presents results of work within the studies of the development possibilities of the district in the context of the city, Gdańsk-Lower City (Dolne Miasto) district, study proposal no 3, from March 2021. The goal of the research process was to present the values and problems analysis of the area located in Gdańsk-Lower City (Dolne Miasto) district...
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Values and problems analysis – Gdańsk-Lower City (Dolne Miasto) district case study, study proposal no 2, March 2021
Open Research DataThe data presents results of work within the studies of the development possibilities of the district in the context of the city, Gdańsk-Lower City (Dolne Miasto) district, study proposal no 2, from March 2021. The goal of the research process was to present the values and problems analysis of the area located in Gdańsk-Lower City (Dolne Miasto) district...
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3D Object Shape Reconstruction from Underwater Multibeam Data and Over Ground Lidar Scanning
PublicationThe technologies of sonar and laser scanning are an efficient and widely used source of spatial information with regards to underwater and over ground environment respectively. The measurement data are usually available in the form of groups of separate points located irregularly in three-dimensional space, known as point clouds. This data model has known disadvantages, therefore in many applications a different form of representation,...
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A New Coupler Concept for Contactless High-Speed Data Transmission Monitoring
PublicationThis paper presents a new concept of a couplerthat can be applied to high-speed data transmission contactlessmeasurements. The proposed approach is dedicated for differentialsignal transmission monitoring in microstrip coupled lineson printed circuit boards (PCBs). The coupler, produced on aseparate PCB, is overlayed on the transmission line with thedifferential signal and delivers decoupled differential signal tothe main measurement...
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Reconstruction Methods for 3D Underwater Objects Using Point Cloud Data
PublicationExisting methods for visualizing underwater objects in three dimensions are usually based on displaying the imaged objects either as unorganised point sets or in the form of edges connecting the points in a trivial way. To allow the researcher to recognise more details and characteristic features of an investigated object, the visualization quality may be improved by transforming the unordered point clouds into higher order structures....
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Image Analysis and Stereology
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Current Pharmaceutical Analysis
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ACCIDENT ANALYSIS AND PREVENTION
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COMMUNICATIONS IN ANALYSIS AND GEOMETRY
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REAL ANALYSIS EXCHANGE
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Behavior Analysis in Practice
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Journal of Legal Analysis
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Drug Testing and Analysis
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Journal of Topology and Analysis
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International Journal of Analysis
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Economic Analysis and Policy
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Communications in Applied Analysis
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Defence and Security Analysis
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Journal of Logic and Analysis
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Annals of Functional Analysis
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Nonlinear Analysis Forum
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Journal of Mathematical Analysis
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Foreign Policy Analysis
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SPECTROSCOPY AND SPECTRAL ANALYSIS
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Analysis of Verbal Behavior
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Analysis and Mathematical Physics
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Journal of Analysis and Testing
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Journal of Complex Analysis
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Communications on Stochastic Analysis
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Critical Housing Analysis
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Metallography Microstructure and Analysis
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Review of Economic Analysis
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Communications in Mathematical Analysis
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Global and Stochastic Analysis
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Journal of Analysis and Applications
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GEOMETRIC AND FUNCTIONAL ANALYSIS
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Microbial Risk Analysis
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Transactional Analysis Journal
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Numerical Analysis and Applications
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Health Risk Analysis
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Methods and Applications of Analysis
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Risk and Decision Analysis
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JOURNAL OF MULTIVARIATE ANALYSIS
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JOURNAL OF CONVEX ANALYSIS
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JOURNAL OF GEOMETRIC ANALYSIS
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JOURNAL OF PRODUCTIVITY ANALYSIS
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Results in Nonlinear Analysis
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Applied Economic Analysis
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MEDICAL IMAGE ANALYSIS
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Constructive Mathematical Analysis
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European Policy Analysis
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Mathematical Modelling and Analysis
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Analysis in Theory and Applications
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Communications in Analysis and Mechanics
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JOURNAL OF FUNCTIONAL ANALYSIS
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Journal of Tourism Analysis
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PATTERN ANALYSIS AND APPLICATIONS
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Spatial Economic Analysis
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SURFACE AND INTERFACE ANALYSIS
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STOCHASTIC ANALYSIS AND APPLICATIONS
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SET-VALUED ANALYSIS
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Which Curve Fits Best: Fitting ROC Curve Models to Empirical Credit-Scoring Data
PublicationIn the practice of credit-risk management, the models for receiver operating characteristic (ROC) curves are helpful in describing the shape of an ROC curve, estimating the discriminatory power of a scorecard, and generating ROC curves without underlying data. The primary purpose of this study is to review the ROC curve models proposed in the literature, primarily in biostatistics, and to fit them to actual credit-scoring ROC data...
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Performance of data transmission in UMTS with turbo code about decreased number of states
PublicationIn the paper a structure of turbo encoder and decoder about decreased number of states has been described. The simulation results of transmission performance based on turbo coding without the reduction of the number of iterations for the uplink and downlink of WCDMA/FDD interface have been presented. The SOVA algorithm for turbo decoding has been used. The investigations have been carried out for Outdoor to Indoor & Pedestrian...
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Big Data Paradigm Developed in Volunteer Grid System with Genetic Programming Scheduler
PublicationArtificial intelligence techniques are capable to handle a large amount of information collected over the web. In this paper, big data paradigm has been studied in volunteer and grid system called Comcute that is optimized by a genetic programming scheduler. This scheduler can optimize load balancing and resource cost. Genetic programming optimizer has been applied for finding the Pareto solu-tions. Finally, some results from numerical...
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Floodplain inundation Mapping using SAR Scattering Coefficient Thresholding and Observed Discharge Data
PublicationInundation area time series are important for wetlands monitoring and hydrological model validation. This study is conducted in Biebrza floodplain, which is a natural wetland with complex inundation generation processes. In order to map 2014-2018 series of inundation in the floodplain we test our automatic thresholding method on Sentinel 1 data. The threshold value is optimized using correlation of the inundation area with observed...
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Three-dimensional mapping for data collected using variable stereo baseline
PublicationThe paper describes a system of 3D mapping of data collected with due regard for variable baseline. This solution constitute an extension to a VisRobot sub-system developed as a subsystem, necessary for implementing the generic idea of using mobile robots to explore an indoor static environment. This subsystem is to acquire stereo images, calculate the depth in the images and construct the sought 3D map. Stereo images are obtained...
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E-marketing and trend analysis 2024, ID, sem. 6
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On the Handling of Outliers in the GNSS Time Series by Means of the Noise and Probability Analysis
PublicationThe data pre-analysis plays a significant role in the noise determination. The most important issue is to find an optimum criterion for outliers removal, since their existence can affect any further analysis. The noises in the GNSS time series are characterized by spectral index and amplitudes that can be determined with a few different methods. In this research, the Maximum Likelihood Estimation (MLE) was used. The noise amplitudes...