Search results for: DATA-DRIVEN APPROACH - Bridge of Knowledge

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Search results for: DATA-DRIVEN APPROACH

Search results for: DATA-DRIVEN APPROACH

  • Algorithms for Ship Movement Prediction for Location Data Compression

    Due to safety reasons, the movement of ships on the sea, especially near the coast should be tracked, recorded and stored. However, the amount of vessels which trajectories should be tracked by authorized institutions, often in real time, is usually huge. What is more, many sources of vessels position data (radars, AIS) produces thousands of records describing route of each tracked object, but lots of that records are correlated...

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  • Three-dimensional representation of geographic data in a Web-based GIS

    Publication

    - HYDROACOUSTICS - Year 2013

    Presenting geographic data in a web environment has been a long standing problem. For many years the low performance of web browsers has limited the visualization of spatial data to only two dimensions. More recently, the introduction of open standards for 3D acceleration of web applications sparked the emergence of new methods of presenting three-dimensional data in a web browser without using third-party extensions. However,...

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  • Web-based 3D processing and dissemination of multibeam sonar data

    Publication

    - HYDROACOUSTICS - Year 2016

    The continuous detailed surveys of the various water bodies over time produce a large and ever-increasing volume and density of underwater sounding data. Three-dimensional data, such as those obtained by multibeam sonar systems, are quite complex to manage, and thus their growing numbers increase the pressure on development of new solutions dedicated to processing them. This paper presents a concept system for web-based dissemination...

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  • Interactive Information Search in Text Data Collections

    Publication

    This article presents a new idea for retrieving in text repositories, as well as it describes general infrastructure of a system created to implement and test those ideas. The implemented system differs from today’s standard search engine by introducing process of interactive search with users and data clustering. We present the basic algorithms behind our system and measures we used for results evaluation. The achieved results...

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  • Marine traffic risk modelling – an innovative approach and a case study

    This paper presents a model to analyse the risk of two common marine accidents: collision and grounding. Attention is focused on oil tankers since they pose the highest environmental risks. A case study in selected areas of the Gulf of Finland in ice-free conditions is presented. The model utilizes a formula for risk calculation that considers both the probability of an unwanted event and its consequences. The model can be decomposed...

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  • Real-time generator of AIS/ARPA/GPS data

    The paper presents a real-time generator of AIS/ARPA/GPS position data in the standardized NMEA 0183 text format. Position data are produced by a set of various types of ships simulated on the Polish part of the Baltic Sea and are generated on defined IP/UDP addresses and RS-232 ports. In the simulation an extensive set of input parameters is taken into account including the number of particular types of ships, their dimensions,...

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  • Mathematical Approach to Assess a Human Gait

    Publication
    • W. Wojnicz
    • B. Zagrodny
    • M. Ludwicki
    • J. Awrejcewicz

    - Year 2022

    A purpose of the paper was to create a mathematical approach to assess a human gait. The scope of the study was to model a normal gait in the sagittal plane and frontal plane of the body. Applying the Newton-Euler formulation, three multibody biomechanical models were derived to describe single support phase and double support phase of the gait. To model a gait in the sagittal plane the open-close sagittal 6DOF model and the open-close...

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  • Price bubbles in commodity market – A single time series and panel data analysis

    This paper examines thirty-five commodities, grouped into three market sectors (energy, metals, agriculture & livestock) in terms of the occurrence of price bubbles. The study was based on monthly data for each commodity separately and, in a panel approach, for selected sectors and for all commodities combined. The GSADF test and its version for panel data – panel GSADF – were used to identify bubbles. The beginning and end of...

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  • Harmonization and Quality Assurance of Income and Wealth Data: The Case of LIS.

    Publication

    - Year 2023

    Comparability of concepts in survey data harmonization is essential for scientific analyses. LIS – also known as the Luxembourg Income Study or LIS Cross-National Data Center in Luxembourg – acquires and harmonizes income and wealth microdata to provide the scientific community with a comparable database that is unique in the world in its growing temporal and geographic breadth. Over many decades, scholars worldwide have used the...

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  • Methods of trend removal in electrochemical noise data – overview

    Publication

    In this paper we shall review popular methods of trend removal from electrochemical noise time records. The basic principles of operation of the six most popular methods are explained. The proposed methods are: high - pass filtering, Moving Average Removal, polynomial detrending, wavelet detrending, Empirical Mode Decomposition and Variational Mode Decomposition. Estimation of trend removal quality...

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  • Fragmentation of Hydrographic Big Data Into Subsets During Reduction Process

    Publication

    - Year 2017

    The 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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  • Managing Data from Heterogeneous Data Sources Using Knowledge Layer

    Publication

    - Year 2006

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  • Atmospheric emissions of POPs in Europe - a discussion of existing data and data need

    Publication
    • K. Breivik
    • V. Vestreng
    • O. Rozovskaya
    • J. Pacyna

    - ENVIRONMENTAL SCIENCE & POLICY - Year 2006

    Zaproponowano, aby schematy inwentaryzacji i raportowania emisji w przyszłości były tak dobrane, aby zaspokajały potrzeby zarówno administracji odpowiedzialnej za strategię redukcji emisji jak i naukowców wykorzystujących inwentaryzację emisji na potrzeby dalszych badań naukowych. Stan obecny inwentaryzacji emisji POP oszacowany został jako niezadowalający a dalsze usprawnienia są konieczne dla poprawienia wiarygodności wyników...

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  • Managing data from heterogeneous data sources using knowledge layer

    Publication

    W procesie integrowania danych przy użyciu ontologii, ważne jest aby zarządzać danymi przechowywanymi w zewnętrznych źródłach, analogicznie jak tymi przechowywanymi w Bazie Wiedzy. Zaprezentowana w poprzednich pracach metoda kartograficznej reprezentacji wiedzy pozwala na wnioskowanie z danych przechowywanych w Bazie wiedzy. Rozwiązanie zaprezentowane w tej pracy umożliwia wykorzystanie metody kartograficznej do wnioskowania z...

  • Data regarding a new, vector-enzymatic DNA fragment amplification-expression technology for the construction of artificial, concatemeric DNA, RNA and proteins, as well as biological effects of selected polypeptides obtained using this method

    Publication
    • P. Skowron
    • N. Krawczun
    • J. Żebrowska
    • D. Krefft
    • O. Żołnierkiewicz
    • M. Bielawa
    • J. Jeżewska-Frąckowiak
    • Ł. Janus
    • M. Witkowska
    • M. Palczewska... and 10 others

    - Data in Brief - Year 2020

    Applications of bioactive peptides and polypeptides are emerging in areas such as drug development and drug delivery systems. These compounds are bioactive, biocompatible and represent a wide range of chemical properties, enabling further adjustments of obtained biomaterials. However, delivering large quantities of peptide derivatives is still challenging. Several methods have been developed for the production of concatemers –...

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  • Magdalena Apollo dr inż.

    2017 - PhD in Civil Engineering, thesis: Risk management in construction investments related to urban regeneration projects, Gdansk University of Technology IX 2012–VI 2013 - Postgraduate Studies at Gdynia Maritime University: Research Project Management (IPMA D Certificate) 2010 – MSc in Management and Marketing, Gdansk University of Technology 2007 – MSc in Civil Engineering, Gdansk University of Technology 2007-2010 - structural...

  • A Control Theoretical Approach to Spectral Factorization is Unstable

    Local stability analysis of a recently proposed recursive feedback-based approach to spectral factorization is performed. The method is found not to give stability guarantees. Interestingly enough, its global behavior often allows one to obtain reasonable approximations of spectral factorizations if a suitable stopping criterion is employed.

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  • Detection of Face Position and Orientation Using Depth Data

    Publication

    In this paper an original approach is presented for real-time detection of user's face position and orientation based only on depth channel from a Microsoft Kinect sensor which can be used in facial analysis on scenes with poor lighting conditions where traditional algorithms based on optical channel may have failed. Thus the proposed approach can support, or even replace, algorithms based on optical channel or based on skeleton...

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  • Integration, Processing and Dissemination of LiDAR Data in a 3D Web-GIS

    The rapid increase in applications of Light Detection and Ranging (LiDAR) scanners, followed by the development of various methods that are dedicated for survey data processing, visualization, and dissemination constituted the need of new open standards for storage and online distribution of collected three-dimensional data. However, over a decade of research in the area has resulted in a number of incompatible solutions that offer...

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  • Visualization of Economic Data - 2022

    e-Learning Courses
    • O. Aydin

  • Tryton Supercomputer Capabilities for Analysis of Massive Data Streams

    The recently deployed supercomputer Tryton, located in the Academic Computer Center of Gdansk University of Technology, provides great means for massive parallel processing. Moreover, the status of the Center as one of the main network nodes in the PIONIER network enables the fast and reliable transfer of data produced by miscellaneous devices scattered in the area of the whole country. The typical examples of such data are streams...

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  • Document transformations for data processing in information systems

    Publication

    - Year 2007

    Atrykuł przedstawia podejście do automatyzacji transformacjidokumentów użytkownika bazujące na technologii XML. W artykuleprzedstawiony został system Endoscopy Recommender System.ERS wykorzystuje dedykowane transformacje XML Schema do Java, Java dodokumentów XML. Dzięki tym transformacjom procesy pobierania iprzechowywania danych zostały w pełni zautomatyzowane.Zaimplementowane podejście XML data binding umożliwia walidacjępodstawowych...

  • Approach to security assessment of critical infrastructures' information systems

    Publication

    - IET Information Security - Year 2011

    This study presents an approach to the security assessment of the information systems of critical infrastructures. The approach is based on the faithful reconstruction of the evaluated information system in a computer security laboratory followed by simulations of possible threats against the system. The evidence collected during the experiments, stored and organised using a proprietary system InSAW, may later be used for the creation...

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  • Reduction of measurement data before Digital Terrain Model generation vs. DTM generalisation

    Publication

    - SURVEY REVIEW - Year 2018

    Modern data acquisition technologies provide large datasets that are not always necessary in its entirety to properly accomplish the goal of the study. In addition, such datasets are often cumbersome for rational processing, and their processing is time and labour consuming. Therefore, methods that enable to reduce the size of the measurement dataset, such as the generalization of the Digital Terrain Model (DTM) or the reduction...

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  • Combining Road Network Data from OpenStreetMap with an Authoritative Database

    Computer modeling of road networks requires detailed and up-to-date dataset. This paper proposes a method of combining authoritative databases with OpenStreetMap (OSM) system. The complete route is established by finding paths in the graph constructed from partial data obtained from OSM. In order to correlate data from both sources, a method of coordinate conversion is proposed. The algorithm queries road data from OSM and provides...

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  • Analysis of GNSS, Hydroacoustic and Optoelectronic Data Integration Methods Used in Hydrography

    Publication
    • O. Lewicka
    • M. Specht
    • A. Stateczny
    • C. Specht
    • D. Brčić
    • A. Jugović
    • S. Widźgowski
    • M. Wiśniewska

    - SENSORS - Year 2021

    The integration of geospatial data in hydrography, performed using different measurement systems, involves combining several study results to provide a comprehensive analysis. Each of the hydroacoustic and optoelectronic systems is characterised by a different spatial reference system and the method for technical implementation of the measurement. Therefore, the integration of hydrographic data requires that problems in selected...

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  • Artysta i analityk. Big data w przestrzeni kultury

    Publication

    - Year 2015

    Tekst rozważa rolę Big Data - ogromnych zbiorów danych - w badaniu kultury oraz w jej tworzeniu. Przedmiotem analiz jest również wpływ tej technologii na twórczość artystyczną, w tym na współczesną architekturę i urbanistykę. Przedstawione zostały scenariusze potencjalnej przyszłej roli Big Data w społeczeństwie.

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  • Exploring ontological approach for user requirements elicitation in design of online virtual agents

    Effective user requirements elicitation is a key factor for the success of software development projects. There are many qualitative and quantitative research studies that promulgate particular methods and show the application of user requirements elicitation in particular domains. However, few try to eliminate the burden of ambiguity in gathered data, naturally occurring in different groups of stakeholders. This paper deals with...

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  • Multibeam Sonar Data Processing for Seafloor Classification

    Publication

    Despite many years of the development of methodology for sensing the seafloor by means of underwater acoustics, the currently used techniques are still not mature enough and not ready to be utilised in numerous different (i.e. with respect to a water region character, used equipment type etc.) tasks. Therefore the hydroacoustic methods, both utilising vertical observations (e.g. by singlebeam echosounders), as well as those relying...

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  • Electron mobility variance in semiconductors: the variance approach

    Publication
    • S. Melkonyan
    • H. Asriyan
    • A. Surmalyan
    • J. Smulko

    - Armenian Journal of Physics - Year 2011

    Praca przedstawia nowe podejście da analizy zjawisk losowych w półprzewodnikach. Uwzględnia kilka mechanizmów zjawisk fluktuacji ruchliwości w półprzewodnikach, prowadzących do powstawamai składowej szumów typu 1/f, dominujących w zakresie małych czetotliwości. Przedstawia analizę sposobu wyznaczenia stałej Hooge'a określającej intensywność szumów typu 1/f.The statistical non-triviality of current carrier mobility fluctuations...

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  • Platelet RNA Sequencing Data Through the Lens of Machine Learning

    Publication

    - Cancers - Year 2023

    Liquid 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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  • A new approach of coastal cliff monitoring using Mobile Laser Scanning

    Publication

    The article proposes a new approach of coastal cliff monitoring which bases on a new comprehensive monitoring system, being a combination of mobile scanning from the sea with the geotechnical stability analysis. Mobile laser scanning is an innovative solution for 3D data collection which allows the monitored object geometry to be precisely measured, thus providing opportunities for series of analyses contributing to the development...

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  • An automated, low-latency environment for studying the neural basis of behavior in freely moving rats

    Publication
    • M. Jankowski
    • A. Polterovich
    • A. Kazakov
    • J. Niediek
    • I. Nelken

    - BMC BIOLOGY - Year 2023

    Background Behavior consists of the interaction between an organism and its environment, and is controlled by the brain. Brain activity varies at sub-second time scales, but behavioral measures are usually coarse (often consisting of only binary trial outcomes). Results To overcome this mismatch, we developed the Rat Interactive Foraging Facility (RIFF): a programmable interactive arena for freely moving rats with multiple feeding...

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  • INFLUENCE OF TIME ON THE BEARING CAPACITY OF PRECAST PILES

    One of the most popular types of foundations in layered subsoil with very differentiated soil shear strengths are precast piles. One of the reasons is a fact that we can well control the driving process during the installation of these piles. The principles of the assessment of bearing capacity and settlements of the piles given by Eurocode 7, concentrate on two main methods, i.e. Static Pile Load Tests (SPLT) and Dynamic Driving...

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  • The effect of shear deformations' rotary inertia on the vibrating response of multi-physic composite beam-like actuators

    Publication

    In consecutive studies on flexomagneticity (FM), this work investigates the flexomagnetic reaction of a vibrating squared multi-physic beam in finite dimensions. It is assumed that the bending and shear deformations cause rotary inertia. In the standard type of the Timoshenko beam the rotary inertia originated from shear deformations has been typically omitted. It means the rotary inertia resulting from shear deformation is a new...

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  • Editorial for the special issue on advances in forward and inverse surrogate modeling for high-frequency design

    The design of modern‐day high‐frequency devices and circuits, including microwave/RF, antenna and photonic components, historically has relied on full‐wave electromagnetic (EM) simulation tools. Initially used for design verification, EM simulations are nowadays used in the design process itself, for example, for finding optimum values of geometry and/or material parameters of the structures of interest. In a growing number of...

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  • Music Data Processing and Mining in Large Databases for Active Media

    Publication

    - Year 2014

    The aim of this paper was to investigate the problem of music data processing and mining in large databases. Tests were performed on a large data-base that included approximately 30000 audio files divided into 11 classes cor-responding to music genres with different cardinalities. Every audio file was de-scribed by a 173-element feature vector. To reduce the dimensionality of data the Principal Component Analysis (PCA) with variable...

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  • Visualization of events using various kinds of synchronized data for the Border Guard

    STRADAR project is dedicated to streaming real-time data in a distributed dispatcher and teleinfor-mation system of the Border Guard. The Events Visualization Post is a software designed for simultaneous visualization of data of different types in BG headquarters. The software allows the operator to visualize files, images, SMS, SDS, video, audio, and current or archival data on naval situation on digital maps. All the visualized...

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  • Evaluation of position estimation based on accelerometer data

    Publication

    - Year 2015

    The paper concerns the problem of integrating data from accelerometers. A suitable model of a MEMS accelerometer is presented which is a part of inertial measurement units (IMU). Such units allow to measure orientation as well as to localize systems. They also appear to be applicable for systems positioning. The main purpose of the paper is to discuss conditions that must be satisfied to calculate the location of the sensor by...

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  • Playback detection using machine learning with spectrogram features approach

    Publication

    - Year 2017

    This paper presents 2D image processing approach to playback detection in automatic speaker verification (ASV) systems using spectrograms as speech signal representation. Three feature extraction and classification methods: histograms of oriented gradients (HOG) with support vector machines (SVM), HAAR wavelets with AdaBoost classifier and deep convolutional neural networks (CNN) were compared on different data partitions in respect...

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  • Efficiency Evaluation of High Performance Computing Systems Using Data Envelopment Analysis

    Publication

    - Year 2014

    The paper presents an evaluation method of high performance computing (HPC) systems using multicriteria efficiency analysis. The Data Envelopment Analysis approach was applied and adapted to the specifics of HPC, which enabled us to compare relative efficiency of systems considering simultaneously multiple parameters. The analysis is based on the TOP500 list of world largest supercomputers and their parameters such as: the number...

  • Analysis of data fusion algorithms for the vessel with the dynamic positioning system

    Publication

    The dynamic positioning (DP) system on the vessel is operated to control the position and heading of the vessel with the use of propellers and thrusters installed on the board. On DP vessels redundant measurement systems of position, heading and the magnitude and direction of environmental forces are required for safety at sea. In this case, a fusion of data is needed from individual measurement devices. The article proposes a...

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  • Collective citizens' behavior modelling with support of the Internet of Things and Big Data

    In this paper, collective human behaviors are modelled by a development of Big Data mining related to the Internet of Things. Some studies under MapReduce architectures have been carried out to improve an efficiency of Big Data mining. Intelligent agents in data mining have been analyzed for smart city systems, as well as data mining has been described by genetic programming. Furthermore, artificial neural networks have been discussed...

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  • An Approach to Agent-Based Supporting System for IT Projects

    Publication

    Abstract. The natural development of information technology area stimulates intense growth of various technologies which support basic organization processes. The range of technologies implies appropriate management thereof, as well as accurate correspondence with conducted activities. Abandonment of activities within individual branches in favour of project approach to performed assignments (especially those connected with software...

  • Power Hardware-in-the-Loop Approach In Power System Development

    The main objective of the research is the verification of the Power Hardware-In-The-Loop (PHIL) approach in power system analysis and design. The premise of the article is that using PHIL approach the performance of the power system in steady and transient state conditions can be analysed in real power system conditions. Models of induction machine were developed and real time simulations were performed. Simulation variables were...

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  • ARIMA vs LSTM on NASDAQ stock exchange data

    Publication

    - Procedia Computer Science - Year 2022

    This study compares the results of two completely different models: statistical one (ARIMA) and deep learning one (LSTM) based on a chosen set of NASDAQ data. Both models are used to predict daily or monthly average prices of chosen companies listed on the NASDAQ stock exchange. Research shows which model performs better in terms of the chosen input data, parameters and number of features. The chosen models were compared using...

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  • Exploring the Usability and User Experience of Social Media Apps through a Text Mining Approach

    This study aims to evaluate the applicability of a text mining approach for extracting UUX-related issues from a dataset of user comments and not to evaluate the Instagram (IG) app. This study analyses textual data mined from reviews in English written by IG mobile application users. The article’s authors used text mining (based on the LDA algorithm) to identify the main UUX-related topics. Next, they mapped the identified topics...

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  • Alternative convolution approach to friction in unsteady pipe flow

    In the paper some aspects of the unsteady friction in pipe flow expressed by the convolution are analyzed. This additional term introduced into the motion equation involves the accelerations of fluid occurring in the past and a weighting function. The essence of such approach is to assume the appropriate form of weighting function. However, until now no fully reliable formula for this function has been found. To avoid some inconveniences...

  • Methods of data extraction from sub-bottom profiler's signal

    Data obtain during sounding Gdansk Bay with SES-2000 Standard parametric sub-bottom profiler has two types of information: envelope and pure signal. First is used to plot echograms in real time and contain envelope of echo. The second one is stored during sounding and can be processed after recording data. Comparison of results will be shown and discussed. First step in investigation was proper configuration of small measurement...

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  • 3D Object Shape Reconstruction from Underwater Multibeam Data and Over Ground Lidar Scanning

    The 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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