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A coarse‐grained approach to NMR ‐data‐assisted modeling of protein structures
PublikacjaThe ESCASA algorithm for analytical estimation of proton positions from coarse-grained geometry developed in our recent work has been implemented in modeling protein structures with the highly coarse-grained UNRES model of polypeptide chains (two sites per residue) and nuclear magnetic resonance (NMR) data. A penalty function with the shape of intersecting gorges was applied to treat ambiguous distance restraints, which automatically...
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Method of Decision-Making Logic Discovery in the Business Process Textual Data
PublikacjaGrowing amount of complexity and enterprise data creates a need for novel business process (BP) analysis methods to assess the process optimization opportunities. This paper proposes a method of BP analysis while extracting the knowledge about Decision-Making Logic (DML) in a form of taxonomy. In this taxonomy, researchers consider the routine, semi-cognitive and cognitive DML levels as functions of BP conceptual aspects of Resources,...
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Methodology for Processing of 3D Multibeam Sonar Big Data for Comparative Navigation
PublikacjaAutonomous navigation is an important task for unmanned vehicles operating both on the surface and underwater. A sophisticated solution for autonomous non-global navigational satellite system navigation is comparative (terrain reference) navigation. We present a method for fast processing of 3D multibeam sonar data to make depth area comparable with depth areas from bathymetric electronic navigational charts as source maps during...
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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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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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A probabilistic model of ship performance in ice based on full-scale data
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Use of LIDAR Data in the 3D/4D Analyses of the Krakow Fortress Objects
PublikacjaThe article presents partial results of studies within the framework of the international project "Cultural Heritage Through Time" (CHT2). The subject of the study were forts of the Krakow Fortress, which had been built by the Austrians between 1849-1914 in order to provide defence against the Russians. Research works were aimed at identifying architectural changes occurring in different time periods in relation to selected...
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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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Workstation for training asw helicopter navigators and analysis real flight data
PublikacjaW 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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A Comprehensive Framework for Measuring Governments’ Digital Initiatives Including Open Data
PublikacjaDigital 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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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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Ecotoxicity and chemical sediment data classification by the useof self-organising maps
PublikacjaArtykuł 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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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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Data Sampling-Based Feature Selection Framework for Software Defect Prediction
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CMS data processing workflows during an extended cosmic ray run
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<title>Data acquisition module implemented on PCI mezzanine card</title>
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Selection of SOM parameters for the needs of clusterization of data obtained by interferometric methods
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Processing data on sea bottom structure obtained by means of the parametric sounding
PublikacjaThe aim of the paper is to analyze data obtain during sounding of the Gdansk Bay by means of the parametric sonar. The accuracy of the sea bottom structure investigation needs the correct configuration of research equipment and the proper calibration of peripheral devices (GPS, heading sensor, motion sensor MRU-Z and navigation units) which provide necessary data to bathymetrical measurement system enabling its work with whole...
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Composition of data visualizations by sub-bottom profiler and multibeam echosounder in Matlab
PublikacjaThis paper contains description of procedure, which was elaborated in a numerical computing environment Matlab. The result of these procedures is a graphical composition of images obtained from two different hydroacoustic devices. It enables to compare different types of visualizations for the same geographical position and simultaneous work with graphical representation of all data types.
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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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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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Network-aware Data Prefetching Optimization of Computations in a Heterogeneous HPC Framework
PublikacjaRapid 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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A Workflow Application for Parallel Processing of Big Data from an Internet Portal
PublikacjaThe paper presents a workflow application for efficient parallel processing of data downloaded from an Internet portal. The workflow partitions input files into subdirectories which are further split for parallel processing by services installed on distinct computer nodes. This way, analysis of the first ready subdirectories can start fast and is handled by services implemented as parallel multithreaded applications using multiple...
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Processing of acoustical data in a multimodal bank operating room surveillance system
PublikacjaAn automatic surveillance system capable of detecting, classifying and localizing acoustic events in a bank operating room is presented. Algorithms for detection and classification of abnormal acoustic events, such as screams or gunshots are introduced. Two types of detectors are employed to detect impulsive sounds and vocal activity. A Support Vector Machine (SVM) classifier is used to discern between the different classes of...
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Effective Data-Centric Reputation Systems for MANETs: A Novel Evaluation Framework
PublikacjaZaprezentowano datacentryczny system reputacyjny dla sieci bezprzewodowej ad hoc z transmisją wieloskokową oraz metodę jego oceny opartą na wskaźniku efektywności. Wskaźnik ten odzwierciedla wymienność pomiędzy odróżnialnością węzłów egoistycznych od pozostałych oraz stopniem wykazywanego przez nie egoizmu. Dla przyjętego modelu sieci przedyskutowano analitycznie znaczenie znajomości tras i metryk reputacyjnych przez węzły.
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The use of weight in motion data to heavy vehicles - pavement interaction analysis
PublikacjaWeight in motion (WIM) is the element of modern intelligent transport systems created to control commercial vehicles and to detect overloaded items. Because all of the vehicles crossing the WIM station are weighed and recognized, given data can be used to vehicle-pavement interaction analysis. The paper presents the results of analysis based on data from seven WIM stations localized in Motorway and National Roads in Poland. The...
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Identification of the Vistula Mounting tower model using measured modal data
PublikacjaW pracy przedstawiono problem identyfikacji pięcioparametrowego modelu zabytkowej wieży twierdzy Wisłoujście. Poszukiwane parametry wyznaczono jako rozwiązanie problemu minimalizacji błędu średniokwadratowego pomierzonych dwóch pierwszych częstości i pierwszej postaci drgań własnych. Do tego celu wykorzystano hierarchiczną procedurę minimalizacji przy zastosowaniu analizy wrażliwości. Analiza numeryczna potwierdziła efektywność...
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Multibeam Sonar Characterisation of Seafloor in the Context of Visualisation and Dissemination of Marine Data
PublikacjaThe paper presents the seafloor characterisation method based on multibeam sonar data. it relies on using three types of multibeam seafloor sensing data: 1) the grey-level sonar images (echograms) of seabed, 2) the 3D model of the seabed surface which consists of high resolution bathymetric data, 3) the set of time domain bottom echo envelopes received in the consecutive sonar beams. The classification is performed by utilisation...
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The contactless method of chip-to-chip high-speed data transmission monitoring
PublikacjaThis paper presents a technique of decoupling differential signals transmitted in a pair of microstrip lines on a printed circuit board (PCB), using dedicated coupler for high speed data transmission monitoring in chip-to-chip interconnections. The coupler used for signal probing is overlayed on the pair of microstrip lines under test, and provides a signal to the next blocks of the measurement system without disturbing transmission...
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Towards rainfall interception capacity estimation using ALS LiDAR data
PublikacjaIn this study we develop a spatial model for interception capacity of vegetation based on LiDAR data. The study is conducted in the natural wetland river valley dominated meadows, reeds and small bushes. The multiple regression model was chosen to relate the field measurements of interception capacity and LiDAR statistics at 2m grid. The optimal model was chosen by stepwise selection and further manual variables selection resulting...
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Low-Level Aerial Photogrammetry as a Source of Supplementary Data for ALS Measurements
PublikacjaThe development of laser scanning technology ALS allows to make high-resolution measurements for large areas result-ing in significant reduction of costs. The main stakeholders at heights data received from the airborne laser scanning is mainly state administration. The state institutions appear among projects such as ISOK. Each point is classified in ac-cordance with the standard LAS 1.2, our research focuses on the class 6 -...
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On the impact of Big Data and Cloud Computing on a scalable multimedia archiving system
PublikacjaMultimedia Archiver (MA) is a system build upon the promise and fascination of the possibilities emerging from cloud computing and big data. We aim to present and describe how the Multimedia Archiving system works for us to record, put in context and allow a swift access to large amounts of data. We introduce the architecture, identified goals and needs taken into account while designing a system processing data with Big Data...
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Processing data on sea bottom structure obtained by means of the parametric sounding
PublikacjaThe aim of the paper is to analyze data obtained during sounding the Gdansk Bay sea bed by means of the parametric echo-sounder. The accuracy of the sea bottom structure investigation needs correct configuration of research equipment and proper calibration of peripheral devices (GPS, heading sensor, MRU-Z motion sensor and navigation instruments which provide necessary data to bathymetrical measurement system, enabling its work...
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System for characterisation and multidimensional imaging of seafloor using multibeam sonar data
PublikacjaMultibeam sonars are widely used in applications like high resolution bathymetry measurements, underwater object detection and imaging, etc. Also, they are the promising tool in seafloor characterisation and classification, having several advantages over conventional single beam echosounders. The proposed approach to seafloor classification relies on the combined use of three different techniques. In each of them, a set of descriptors...
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A New Coupler Concept for Contactless High-Speed Data Transmission Monitoring
PublikacjaThis 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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Integration of Geographic Information Systems for Monitoring and Dissemination of Marine Environment Data
PublikacjaZastosowanie Systemów Informacji Przestrzennej (GIS) do celu monitorowania i wizualizacji różnych procesów środowiska morskiego jest dziedziną badaną od końca XX wieku. W ostatnich latach rozwój szerokopasmowego dostępu do Internetu oraz dostępność klastrów obliczeniowych pozwalają na wykonywanie czasochłonnych i wymagających operacji, takich jak analizy przestrzenne, w sposób zdalny. Jakkolwiek do tej pory sieciowe Systemy Informacji...
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Numerical weather prediction - data fusion to GIS systems and potential applications
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General concept of reduction process for big data obtained by interferometric methods
PublikacjaInterferometric sonar systems apply the phase content of the sonar signal to measure the angle of a wave front returned from the seafloor or from a target. It collect a big data – datasets that are so large or complex that traditional data processing application software is inadequate to deal with them. The recording a large number of data is associated with the difficulty of their efficient use. So data have to be reduced. The main...
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INFORMATION SOCIETY DEVELOPMENT TRENDS, FROM DATA THROUGH KNOWLEDGE TO WISDOM
PublikacjaThe paper investigates both the causes and effects of the rapid increase in the data volume(BigData)andtheirimpactonhumancognition.TheroleoftheInternetindistributing and exchanging of such data, and their impact on the growth of the Information Society are emphasized. As a result, Wisdom Science – a new kind of research – emerges which has the potential to facilitate more advanced solutions in the digital world. In consequence,...