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Search results for: data processing
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General concept of reduction process for big data obtained by interferometric methods
PublicationInterferometric 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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Pervaporation in food processing
PublicationThis chapter is about pervaporation in food processing
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Underwater Processing of Materials
PublicationEditorial do SI
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Testing the Effect of Bathymetric Data Reduction on the Shape of the Digital Bottom Model
PublicationDepth data and the digital bottom model created from it are very important in the inland and coastal water zones studies and research. The paper undertakes the subject of bathymetric data processing using reduction methods and examines the impact of data reduction according to the resulting representations of the bottom surface in the form of numerical bottom models. Data reduction is an approach that is meant to reduce the size...
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Seafloor Characterisation and Imaging Using Multibeam Sonar Data
PublicationThe approach to seafloor characterisation and imaging is presented. It relies on the combined, concurrent use of several techniques of multibeam sonar data processing. The first one is based on constructing the grey-level sonar images of seabed using the backscattering strength calculated for the echoes received in the consecutive beams. Then, the set of parameters describing the local region of sonar image is calculated. The second...
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Distributed measurement system with data transmission secured using XXTEA algorithm
PublicationThe paper deals with wireless data transmission security in the distributed measurement and control system. An overview of cryptographic algorithms was presented paying special attention to the algorithm dedicated to units with low processing power, which is important due to minimization of energy consumption. Measurement modules equipped with simple microcontrollers send data wirelessly to the central unit. The transmission was...
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Methods for quality improvement of multibeam and LiDAR point cloud data in the context of 3D surface reconstruction
PublicationPoint cloud dataset is the transitional data model used in several marine and land remote-sensing applications. During further steps of processing, the transformation of point cloud spatial data to more complex models containing higher order geometric structures like edges and facets may be possible, if an appropriate quality level of input data is provided. Point cloud datasets usually contain a considerable amount of undesirable...
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The method of multispectral image processing of phytoplankton processing for environmental control of water pollution
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MARITIME LASER SCANNING AS THE SOURCE FOR SPATIAL DATA
PublicationThe rapid development of scanning technology, especially mobile scanning, gives the possibility to collect spatial data coming from maritime measurement platforms and autonomous manned or unmanned vehicles. Presented solution is derived from the mobile scanning. However we should keep in mind that the specificity of laser scanning at sea and processing collected data should be in the form acceptable in Geographical Information...
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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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On the impact of Big Data and Cloud Computing on a scalable multimedia archiving system
PublicationMultimedia 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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Parallel processing of multimedia streams
PublicationRozdział przedstawia platformę KASKADA służącą do przetwarzania strumieni multimedialnych. Został opisany jej projekt: diagramy UML klas i sekwencji obrazujące mechanizmy przetwarzania strumieni, oraz szczegóły komunikacji. Zaprezentowano, również, specjalistyczny framework wspomagający tworzenie i wykonywanie algorytmów, jak również definiowanie scenariuszy usług, wraz z oceną ich użyteczności.
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Indect input to image processing
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Liquid crystals for information processing.
PublicationW pracy przedstawiono właściwości ciekłych kryształów, zastosowania tych materiałów w akwizycji, przetwarzaniu i przesyłaniu informacji. Omówiono urządzenia i systemy wisualizacji informacji wykorzystujące ciekłe kryształy. Zaprezentowano zastosowania elemetów ciekłokrystalicznych w urządzeniach pamięci optycznej.
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Intelligent processing of stuttered speech.
PublicationW artykule zaprezentowano kilka metod analizy i automatycznego zliczania potknięć artykulacyjnych, związanych z jąkaniem się, opartych na wykorzystaniu algorytmów uczących się sztucznych sieci neuronowych i zbiorów przybliżonych.
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Computerized Color Processing for Dichromats
PublicationArtykuł przedstawia opis metod w zakresie symulacji kolorów postrzeganych przez osoby z dichromacją oraz metod rozpoznawania kolorów jak i etykietowania kolorów w obrazach cyfrowych.
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Parallel processing of multimedia streams
PublicationW artykule zaprezentowana jest nowa biblioteka wspierającą tworzenie zadań obliczeniowych, część platformy KASKADA.Przedstawiony został projekt biblioteki, uwzględniający diagram głównych klas oraz diagram sekwencji. Drugi z diagramów ukazuje współpracę głównych klas w procesie przetwarzania strumieni multimedialnych. W dalszej częsci omówione zostały szczegły mechanizmu komunikacji międzyzadawniowej oraz przedstawiony został graf...
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Radar and Sonar Imaging and Processing
PublicationThe 21 papers (from 61 submitted) published in the Special Issue “Radar and Sonar Imaging Processing” highlighted a variety of topics related to remote sensing with radar and sonar sensors. The sequence of articles included in the SI dealt with a broad profile of aspects of the use of radar and sonar images in line with the latest scientific trends. The latest developments in science, including artificial intelligence, were used.
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Big Data and the Internet of Things in Edge Computing for Smart City
PublicationRequests expressing collective human expectations and outcomes from city service tasks can be partially satisfied by processing Big Data provided to a city cloud via the Internet of Things. To improve the efficiency of the city clouds an edge computing has been introduced regarding Big Data mining. This intelligent and efficient distributed system can be developed for citizens that are supposed to be informed and educated by the...
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Tryton Supercomputer Capabilities for Analysis of Massive Data Streams
PublicationThe 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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ANYTIME POLYNOMIAL HEURISTIC ALGORITHM FOR PARTITIONING GROUPS OF DATA WITH PRESERVING CLASS PROPORTIONS FOR CROSS-VALIDATION
PublicationThe article describes a problem of splitting data for k-fold cross-validation, where class proportions must be preserved, with additional constraint that data is divided into groups that cannot be split into different cross-validation sets. This problem often occurs in e.g. medical data processing, where data samples from one patient must be included in the same cross-validation set. As this problem is NP-complete, a heuristic...
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Music information retrieval—The impact of technology, crowdsourcing, big data, and the cloud in art.
PublicationThe exponential growth of computer processing power, cloud data storage, and crowdsourcing model of gathering data bring new possibilities to music information retrieval (mir) field. Mir is no longer music content retrieval only; the area also comprises the discovery of expressing feelings and emotions contained in music, incorporating other than hearing modalities for helping this issue, users’ profiling, merging music with social...
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Computational complexity and length of recorded data for fluctuation enhanced sensing method in resistive gas sensors
PublicationThis paper considers complexity and accuracy of data processing for gas detection using resistance fluctuation data observed in resistance gas sensors. A few selected methods were considered (Principal Component Analysis – PCA, Support Vector Machine – SVM). Functions like power spectral density or histogram were used to create input data vector for these algorithms from the observed resistance fluctuations. The presented considerations...
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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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Blockchain based Secure Data Exchange between Cloud Networks and Smart Hand-held Devices for use in Smart Cities
PublicationIn relation to smart city planning and management, processing huge amounts of generated data and execution of non-lightweight cryptographic algorithms on resource constraint devices at disposal, is the primary focus of researchers today. To enable secure exchange of data between cloud networks and mobile devices, in particular smart hand held devices, this paper presents Blockchain based approach that disperses a public/free key...
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Visual Data Encryption for Privacy Enhancement in Surveillance Systems
PublicationIn this paper a methodology for employing reversible visual encryption of data is proposed. The developed algorithms are focused on privacy enhancement in distributed surveillance architectures. First, motivation of the study performed and a short review of preexisting methods of privacy enhancement are presented. The algorithmic background, system architecture along with a solution for anonymization of sensitive regions of interest...
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How ethics combine with big data: a bibliometric analysis
PublicationThe term Big Data is becoming increasingly widespread throughout the world, and its use is no longer limited to the IT industry, quantitative scientific research, and entrepreneurship, but entered as well everyday media and conversations. The prevalence of Big Data is simply a result of its usefulness in searching, downloading, collecting and processing massive datasets. It is therefore not surprising that the number of scientific...
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Coordination in serial-parallel image processing
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Imidazolium ionic liquids in mineral processing
PublicationImidazoliowe ciecze jonowe (ILs) stanowią nową klasę związków o szerokich możliwościach przemysłowego zastosowania. Z przeglądu dostępnej literatury wynika, że ILs mogłyby zostać wykorzystane do odzysku i oczyszczania metali ze środowiska wodnego oraz rud w procesach ługowania, ekstarkcji rozpuszczalnikowej oraz w procesach elektrochemicznych. Pochodne imidazoliowe mogą być wykorzystywane zarówno jako rozpuszczalniki jak i aktywne...
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Relativistic hydrodynamics on graphics processing units
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KASKADA - multimedia processing platform architecture
PublicationPrzedstawiono architekturę platformy KASKADA (skrót od: Kontekstowa Analiza Strumieni Danych z Kamer do Aplikacji Definiujących Alarmy), będącą częścią projektu MAYDAY EURO 2012. Opisano nowy wielowarstwowy model przetwarzania strumieni multimedialnych. Zaproponowano następujące warstwy: usług - prostych i złożonych, zadań obliczeniowych i procesów. Przedstawiono przykładowy scenariusz wraz ze szczegółami jego wykonania, jak również...
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Distributed processing in medical, parametric imaging
PublicationArtykuł prezentuje metodę dystrybucji bazującej na JavaSpace do zastosowania w wyznaczaniu obrazów parametrycznych. Zaimplementowano metodologię Compute Server, którą użyto do aktywnej termografii i dynamicznych badań MRI mózgu.
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The effect of processing on the safety and nutritional value
PublicationAgricultural crops as well as animal food raw materials are usually somehow processed before being used by humans. Processing should make them more useful, increase their safety and nutritional value, extend the shelf life, and modify the sensory properties. However, changes and interactions of various compounds in the conditions of processing may generate products toxic or otherwise unsafe for the human organism. The food industry...
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Methods of data extraction from sub-bottom profiler's signal
PublicationData 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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Structures for parameterization, meshing and data exchange of topologically related surfaces of a ship hull
PublicationThis paper presents proposal of data structures for storage and processing of a parametric three-dimensional model of a midship hull sections. The model consists of coarse surfaces like: decks, frames, girders, stiffeners, brackets, partitions etc. bounded by topological relations. All workshop details are omitted as the model is intended for numeric calculations. Proposed data structures are prepared to facilitate changes in the...
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Towards a Framework for Context Awareness Based on Textual Process Data
PublicationContext awareness is critical for the successful execution of processes. In the abundance of business process management (BPM) research, frameworks exclusively devoted to extracting context from textual process data are scarce. With the deluge of textual data and its increasing value for organizations, it be-comes essential to employ relevant text analytics techniques to increase the awareness of business process (BP) workers,...
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Application of gamma densitometry and statistical signal analysis to gas phase velocity measurements in pipeline hydrotransport
PublicationThe work presents selected methods of signal analysis used in the processing of data obtained from radiometric probes. The used data came from an exemplary study of a two-phase liquid-gas flow at the laboratory installation. In such rigs many possible transport types may be observed, i.e. slug, plug and bubble flow, and each of them gives different signal-to-noise ratio of recorded data. Therefore, available radiometric methods...
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Application of gamma densitometry and statistical signal analysis to gas phase velocity measurements in pipeline hydrotransport
PublicationThe work presents selected methods of signal analysis used in the processing of data obtained from radiometric probes. The used data came from an exemplary study of a two-phase liquid-gas flow at the laboratory installation. In such rigs many possible transport types may be observed, i.e. slug, plug and bubble flow, and each of them gives different signal-to-noise ratio of recorded data. Therefore, available radiometric methods...
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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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Sensors and System for Vehicle Navigation
PublicationIn recent years, vehicle navigation, in particular autonomous navigation, has been at the center of several major developments, both in civilian and defense applications. New technologies, such as multisensory data fusion, big data processing, or deep learning, are changing the quality of areas of applications, improving the sensors and systems used. Recently, the influence of artificial intelligence on sensor data processing and...
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UAV measurements and AI-driven algorithms fusion for real estate good governance principles support
PublicationThe paper introduces an original method for effective spatial data processing, particularly important for land administration and real estate governance. This approach integrates Unmanned Aerial Vehicle (UAV) data acquisition and processing with Artificial Intelligence (AI) and Geometric Transformation algorithms. The results reveal that: (1) while the separate applications of YOLO and Hough Transform algorithms achieve building detection...
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A novel method for archiving multibeam sonar data with emphasis on efficient record size reduction and storage
PublicationOver the past few years considerable advances in sonar technology, spatial positioning capabilities and computer processing power have lead to significant improvements in mapping, imaging and technologies of seafloor exploration. Recently, modern multibeam echosounder systems (MBES) capable of recording backscatter data for the whole water column, not just for the seabed, have become available thus providing data allowing for...
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INFLUENCE OF DATA NORMALIZATION ON THE EFFECTIVENESS OF NEURAL NETWORKS APPLIED TO CLASSIFICATION OF PAVEMENT CONDITIONS – CASE STUDY
PublicationIn recent years automatic classification employing machine learning seems to be in high demand for tele-informatic-based solutions. An example of such solutions are intelligent transportation systems (ITS), in which various factors are taken into account. The subject of the study presented is the impact of data pre-processing and normalization on the accuracy and training effectiveness of artificial neural networks in the case...
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A model, design, and implementation of an efficient multithreaded workflow execution engine with data streaming, caching, and storage constraints
PublicationThe paper proposes a model, design, and implementation of an efficient multithreaded engine for execution of distributed service-based workflows with data streaming defined on a per task basis. The implementation takes into account capacity constraints of the servers on which services are installed and the workflow data footprint if needed. Furthermore, it also considers storage space of the workflow execution engine and its cost....
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Radar and Sonar Imaging and Processing (2nd Edition)
PublicationThe 14 papers (from 29 submitted) published in the Special Issue “Radar and Sonar Imaging Processing (2nd Edition)” highlight a variety of topics related to remote sensing with radar and sonar sensors. The sequence of articles included in the SI deal with a broad profile of aspects of the use of radar and sonar images in line with the latest scientific trends, in which the latest developments in science, including artificial intelligence,...
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[Chapter] 2. Thermostable enzymes in food processing
PublicationW rozdziale przedstawiono charakterystykę termostabilnych hydrolaz glikozydów, izomeraz, transferaz,lipaz i enzymów proteolitycznych w przetwórstwie rozmaitych surowców źywnościowych. Podano przyczyny termostabilności tych enzymów oraz wymieniono korzyści wynikające z ich stosowania.
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Optimization of a FDTD code for graphical processing units
PublicationArtykuł prezetuje implementację algorytmu FDTD w postaci jawnej przeznaczonej dla kart graficznych. Wykazany został wzrost efektywności obliczeń numerycznych w odniesieniu do implementacji przeznaczonej dla procesora komputerowego.
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Parallel query processing and edge ranking of graphs
PublicationArtykuł poświęcony jest problemowi szukania drzewa spinającego o minimalnym uporządkowanym indeksie chromatycznym. Jednym z zastosowań jest poszukiwanie optymalnych harmonogramów w równoległym przetwarzaniu zapytań w relacyjnych bazach danych. Podajemy nowe oszacowanie funkcji dobroci przybliżonego algorytmu autorstwa Makino, Uno i Ibaraki wraz z rezultatami testów komputerowych przeprowadzonych dla grafów losowych.
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Parallel processing subsystems with redundancy in a distributed environment
PublicationW pracy rozważano problem podziału systemu rozproszonego na spójne podsystemy złożone z przynajmniej trzech jednostek, pozwalające na detekcję i skorygowanie pojedynczych błędów. Wykazano, że problem maksymalizacji liczby takich jednostek jest NP-trudny nawet dla dwuspójnych kubicznych topologii sieci. Podano też nowe algorytmy przybliżone.
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Some applications of thermophiles and their enzymes for protein processing
PublicationPrzedstawiono charakterystykę, właściwości oraz możliwości zastosowań enzymów proteolitycznych wytwarzanych przez termofile. Zaletą tych biokatalizatorów jest między innymi duża odporność na działanie rozpuszczalników organicznych, detergentów i innych czynników denaturujących białka oraz mała wrażliwość na zmiany pH. Dokonano też przeglądu czynników powodujących dużą stabilność proteaz z termofili.