Wyniki wyszukiwania dla: Data Collection Techniques

• Multibaem Sonar Records Data Decimation Using Hierarchical Spline Interpolation

  Publikacja

  • J. Demkowicz

  - HYDROACOUSTICS - Rok 2013

  Multibeam sonar records feature high vertical and horizontal resolution. Interpolating and approximating, eventually displaying of of high volume scattered 3D raster data leads to some difficulties related to a computer processing power. The paper presents some advantages of using hierarchical splines in the context. Such an approach facilitates real time 3D MBS data rendering.

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• Towards More Realistic Probabilistic Models for Data Structures: The External Path Length in Tries under the Markov Model

  Publikacja

  • K. Leckey
  • R. Neininger
  • W. Szpankowski

  - Rok 2013

  Tries are among the most versatile and widely used data structures on words. They are pertinent to the (internal) structure of (stored) words and several splitting procedures used in diverse contexts ranging from document taxonomy to IP addresses lookup, from data compression (i.e., Lempel- Ziv'77 scheme) to dynamic hashing, from partial-match queries to speech recognition, from leader election algorithms to distributed hashing...

• Implementation of spatial information for monitoring and analysis of the area around the port using laser scanning techniques

  Publikacja

  • K. Bobkowska
  • A. Inglot
  • M. Mikusova
  • P. Tysiąc

  - Polish Maritime Research - Rok 2017

  Nowadays, maritime infrastructure is heavily exploited, which requires monitoring. The article presents the implementation of spatial information which are point clouds for monitoring and analysis of the area around the port (buildings and wharves). For this study, point clouds coming from terrestrial (TLS) and airborne laser scanning (ALS), each of them having different accuracy, were used. An important part of the analysis was...

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• Network-aware Data Prefetching Optimization of Computations in a Heterogeneous HPC Framework

  Publikacja

  • P. Rościszewski

  - International Journal of Computer Networks & Communications (IJCNC) - Rok 2014

  Rapid 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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• Thermal Image Processing for Respiratory Estimation from Cubical Data with Expandable Depth

  Publikacja

  • M. Szankin
  • A. Kwaśniewska
  • J. Rumiński

  - Journal of Imaging - Rok 2023

  As healthcare costs continue to rise, finding affordable and non-invasive ways to monitor vital signs is increasingly important. One of the key metrics for assessing overall health and identifying potential issues early on is respiratory rate (RR). Most of the existing methods require multiple steps that consist of image and signal processing. This might be difficult to deploy on edge devices that often do not have specialized...

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• Distributed Detection of Selected Features in Data Streams Using Grid-class Systems

  Publikacja

  • M. Matuszek

  - Rok 2012

  This chapter describes basic methodology of distributed digital signal processing. A choice of distributed methods of detection of selected features in data streams using grid-class systems is discussed. Problems related to distribution of data for processing are addressed. A mitigating method for data distribution and result merging is described.

• APPLICATION OF NON-STATIONARY TECHNIQUES IN THE ANALYSIS OF ELECTROCHEMICAL NOISE

  Publikacja

  • K. DAROWICKI
  • A. ZIELIŃSKI
  • K. Darowicki

  - FLUCTUATION AND NOISE LETTERS - Rok 2004

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• Estimating uncertainty in analytical procedures based on chromatographic techniques

  Publikacja

  • P. Konieczka
  • J. Namieśnik

  - JOURNAL OF CHROMATOGRAPHY A - Rok 2010

  Techniki chromatograficzne są bardzo często wykorzystywane w procedurach analitycznych na etapie rozdzielania i oznaczania oraz identyfikacji szerokiego spektrum analitów występujących w próbkach charakteryzujących się złożonym a niekiedy także zmiennym matryce. Bardzo często są jednak sytuacje, że przy oszacowywaniu niepewności wyników oznaczeń końcowych pomija się niepewności związane z procesem chromatograficznym. W efekcie...

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• Techniques of preparing plant material for chromatographic separation and analysis

  Publikacja

  • G. Gałęzowska
  • E. Gilgenast-Krasińska
  • A. Przyjazny
  • M. A. Kamiński

  - JOURNAL OF BIOCHEMICAL AND BIOPHYSICAL METHODS - Rok 2007

  Artykuł przedstawia dyskusję na temat technik wykorzystywanych podczas przygotowywania próbek materiału roślinnego do rozdzielania chromatograficznego i analizy. Opisane techniki to: suszenie, homogenizacja, ługowanie, ekstrakcja. Przedstawiono także techniki ekstrakcyjne tj. ekstrakcja z wykorzystaniem ultradźwięków, przyśpieszona ekstrakcja rozpuszczalnikiem, ekstrakcja z wykorzystaniem mikrofal, ekstrakcja z wykorzystaniem rozpuszczalnika...

• Trends in solventless sample preparation techniques for environmental analysis

  Publikacja

  • W. Wardencki
  • J. Curyło
  • J. Namieśnik

  - JOURNAL OF BIOCHEMICAL AND BIOPHYSICAL METHODS - Rok 2007

  Praca przedstawia najnowsze tendencje w metodach przygotowania próbek do analizy środowiskowej. Najpierw przedstawiono klasyfikację tzw. bezrozpuszczalnikowych technik przygotowania próbek. Następnie, szczegółowo przedstawiono trzy techniki, traktowane priorytetowo, a mianowicie: mikroekstrakcję do fazy stacjonarnej (SPME), ekstrakcję do pojedynczej kropli (SPME)i analizę fazy nadpowierzchniowej (HS), w odniesieniu do ich użyteczności...

• Application of passive sampling techniques for monitoring the aquatic environment

  Publikacja

  • G. A. Mills
  • R. Greenwood
  • I. J. Allan
  • E. Łopuchin
  • J. Brummer
  • J. Knutsson
  • B. Vrana

  - Rok 2009

  Dozymetry pasywne są coraz powszechniej stosowanym narzędziem do pobierania próbek analitów ze środowiska wodnego. W przypadku próbników pasywnych pobieranie analitów następuje na drodze swobodnego transportu masy przez membranę do medium zatrzymującego, na skutek różnicy potencjałów chemicznych analitów w medium zatrzymującym w próbniku i środowiskiem wodnym, w którym umieszczany jest próbnik. Największą zaletą stosowania próbników...

• Different detection and stacking techniques in capillary electrophoresis for metabolomics

  Publikacja

  • W. Grochocki
  • M. Markuszewski
  • J. Quirino

  - Analytical Methods - Rok 2016

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• Liquid chromatography techniques for separation of flavonoids from Droseraceae

  Publikacja

  • M. Jaszczołt
  • A. Skrzypczak
  • A. Królicka
  • L. Aleksander
  • M. A. Kamiński

  - PLANTA MEDICA - Rok 2011

  Flavonoids which are presented in insectivorous plants of the Droseraceae family have wide range of advantageous properties i.e. an antioxidant, anti-inflammatory and antimicrobial activities, antitumor activity was reported as well.The purpose of the research was to develop the most favourable conditions for liquid chromatographic separation and identification of myricetin and quercetin in extracts of insectivorous plants. In...

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• A Review: Structural Shape and Stress Control Techniques and their Applications

  Publikacja

  • A. Manguri
  • N. Saeed
  • R. Jankowski

  - Rok 2024

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• Personal bankruptcy prediction using machine learning techniques

  Publikacja

  • M. Brygała
  • T. Korol

  - Economics and Business Review - Rok 2024

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• Empirical evaluation of reading techniques for UML models inspection

  Publikacja

  • A. Jarzębowicz
  • J. Górski

  - International Transactions on Systems Science and Applications - Rok 2006

  Artykuł przedstawia eksperyment, w ramach którego porównane zostały trzy techniki czytania (ad hoc, UML-HAZOP oraz podejście scenariuszowe) zastosowane do inspekcji modeli obiektowych. UML-HAZOP jest techniką czytania wywodzącą się z dziedziny systemów krytycznych, związanych z bezpieczeństwem. W publikacji opisano technikę UML-HAZOP oraz jej różne warianty wykorzystane w eksperymencie. Przedstawiono projekt, sposób przeprowadzenia...

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• Adaptation of telecommunication modem techniques for underwater communication systems.

  Publikacja

  • I. Budzińska
  • H. Lasota
  • R. Mazurek

  - HYDROACOUSTICS - Rok 2003

  ...

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• Application of non-stationary techniques in the analysis of electrochemical noise.

  Publikacja

  • K. Darowicki
  • A. Zieliński

  - Rok 2004

  Klasyczne podejście do analizy szumu elektrochemicznego oparte jest na wstępnym założeniu jego stacjonarności. Pomimo użyteczności, tego typu analiza często prowadzi do mylących wniosków, wynikających z niestacjonarności rejestrów szumowych. W pracy przedstawione zostały możliwości krótkoczasowej transformacji Fouriera, umożliwiającej uzyskanie zależnych od czasu widm mocy sygnału. Osiągane jest to dzięki wykorzystywaniu ruchomego,...

• Personal bankruptcy prediction using machine learning techniques

  Publikacja

  • M. Brygała
  • T. Korol

  - Economics and Business Review - Rok 2024

  It has become crucial to have an early prediction model that provides accurate assurance for users about the financial situation of consumers. Recent studies have focused on predicting corporate bankruptcies and credit defaults, not personal bankruptcies. Due to this situation, the present study fills the literature gap by comparing different machine learning algorithms to predict personal bankruptcy. The main objective of the...

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• Farmers’ knowledge of sustainable potato cultivation techniques in Poland

  Publikacja

  • B. Sawicka
  • T. HAMEED

  - Agronomy Science - Rok 2019

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• Influence of preprocessing techniques on pulse pressure velocity determination

  Publikacja

  • A. Poliński
  • A. Bujnowski
  • T. Kocejko
  • J. Wtorek

  - Rok 2021

  Pulse Wave Velocity (PWV) is measured and utilized in many clinical applications. Recently, a wide research has been led to develop a cuff-less and continuous blood pressure method basing on PWV. However, in this application a decision on choosing an appropriate fiducial point of pulse wave (PW) waveform is necessary and substantial. It would allow to measure time parameters necessary to determine PWV. An influence of sampling...

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• Analytical techniques used in monitoring of atmospheric air pollutants

  Publikacja

  • M. Michulec
  • W. Wardencki
  • M. Partyka
  • J. Namieśnik

  - Rok 2005

  W artykule opisano najczęściej spotykane zanieczyszczenia powietrza atmosferycznego, ich interakcje i wpływ na środowisko. Przedstawiono klasyfikację technik i metodyk stosowanych w badaniach zanieczyszczeń powietrza. Przeprowadzono przegląd technik pobierania i dozowania próbek gazowych. Zaprezentowano także przykłady typowych systemów służących do analizy zanieczyszczeń powietrza.

• Persons' identification techniques based on characteristic features of face

  Publikacja

  • D. Gutowska
  • L. Stolc

  - Rok 2005

  Istnieje wiele metod identyfikacji osób opartych na ich cechach charakterystycznych. Metody te ograniczone są poprzez warunki, w których zdjęcie zostało wykonane jak na przykład oświetlenie. Autorzy artykułu proponują zastosowanie rozmytych reguł decyzyjnych oraz skonstruowanie miary podobieństwa na podstawie względnych odległości pomiędzy niezmienniczymi w czasie cechami charakterystycznymi twarzy do usunięcia ograniczeń istniejących...

• Review and comparison of smoothing algorithms for one-dimensional data noise reduction

  Publikacja

  • P. Kowalski
  • R. Smyk

  - Rok 2018

  The paper considers the choice of parameters of smoothing algorithms for data denoising. The impact of the window size on smoothing accuracy was analyzed. The parameters of denoising filters were selected with respect to the meansquare error between the computed linear regression and the noisy signal. Finally, we have compared mean, median, SavitzkyGolay, Kalman and Gaussian filter algorithms for the data from the digital sensor....

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• Buried Object Characterization Using Ground Penetrating Radar Assisted by Data-Driven Surrogate-Models

  Publikacja

  • R. Yurt
  • H. Torpi
  • P. Mahouti
  • A. Kizilay
  • S. Kozieł

  - IEEE Access - Rok 2023

  This work addresses artificial-intelligence-based buried object characterization using 3-D full-wave electromagnetic simulations of a ground penetrating radar (GPR). The task is to characterize cylindrical shape, perfectly electric conductor (PEC) object buried in various dispersive soil media, and in different positions. The main contributions of this work are (i) development of a fast and accurate data driven surrogate modeling...

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• Method for Clustering of Brain Activity Data Derived from EEG Signals

  Publikacja

  • A. Kurowski
  • K. E. Mrozik
  • B. Kostek
  • A. Czyżewski

  - FUNDAMENTA INFORMATICAE - Rok 2019

  A 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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• Using Rule-Based System for Monitoring Marine Navigation Data Processing

  Publikacja

  • K. Drypczewski
  • W. Korłub
  • M. Moszyński

  - Rok 2015

  Processing marine navigational data requires sophisticated software solutions. Typically, specialized tools called processors are analyzing raw data from different sensors. It becomes important to create the monitoring software that is able to validate and verify processing components integrated into the final system. Drools®business rule management platform provides a core business rules engine, web authoring and rules management...

• Distributed measurement system with data transmission secured using XXTEA algorithm

  Publikacja

  • G. Lentka
  • S. Tyborczyk

  - Przegląd Elektrotechniczny - Rok 2016

  The 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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• Visual Data Encryption for Privacy Enhancement in Surveillance Systems

  Publikacja

  • J. Cichowski
  • A. Czyżewski
  • B. Kostek

  - Rok 2013

  In 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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• Methodology for Processing of 3D Multibeam Sonar Big Data for Comparative Navigation

  Publikacja

  • A. Stateczny
  • W. Błaszczak-bąk
  • A. Sobieraj-Żłobińska
  • W. Motyl
  • M. Wiśniewska

  - Remote Sensing - Rok 2019

  Autonomous 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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• Harmony Search to Self-Configuration of Fault-Tolerant Grids for Big Data

  Publikacja

  • J. Balicki
  • W. Korłub
  • M. Tyszka

  - Advances in Intelligent Systems and Computing - Rok 2016

  In this paper, harmony search algorithms have been proposed to self-configuration of fault-tolerant grids for big data processing. Some tasks related to big data processing have been considered. Moreover, two criteria have been applied to evaluate quality of grids. The first criterion is a probability that all tasks meet their deadlines and the second one is grid reliability. Furthermore, some intelligent agents based on harmony...

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• Artificial intelligence and health-related data: The patient’s best interest and data ownership dilemma

  Publikacja

  • A. Dziedzic
  • J. Issa
  • A. Chaurasia
  • M. Tanasiewicz

  - PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE - Rok 2024

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• Evaluating the mobile robot positions using accelerometer data

  Publikacja

  • Z. Kowalczuk
  • T. Merta

  - Rok 2015

  This paper analyzes the problem of determining the position of a robot using an accelerometer, which is an essential part of inertial measurement units (IMU). The information gained from such a gauge, however, requires double integration of sensor data. To assure an expected effect, a mathematical model of a low-cost accelerometer of the MEMS type is derived. Moreover, in order to improve the performance of positioning based on...

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• Evaluating the position of a mobile robot using accelerometer data

  Publikacja

  • Z. Kowalczuk
  • T. Merta

  - Rok 2016

  This paper analyses the problem of determining the position of a robot using an accelerometer, which is an essential part of inertial measurement units (IMU). The information gained from such a gauge, however, requires double integration of sensor data. To assure an expected effect, a mathematical model of a low-cost accelerometer of the MEMS type is derived. Moreover, in order to improve the performance of positioning based on...

• Evaluation of Three Peptide Immobilization Techniques on a QCM Surface Related to Acetaldehyde Responses in the Gas Phase

  Publikacja

  • T. Wasilewski
  • B. Szulczyński
  • W. Kamysz
  • J. Gębicki
  • J. Namieśnik

  - SENSORS - Rok 2018

  The quartz-crystal microbalance is a sensitive and universal tool for measuring concentrations of various gases in the air. Biochemical functionalization of the QCM electrode allows a label-free detection of specific molecular interactions with high sensitivity and specificity. In addition, it enables a real-time determination of its kinetic rates and affinity constants. This makes QCM a versatile bioanalytical screening tool for...

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• Data Acquisition and Processing for GeoAI Models to Support Sustainable Agricultural Practices

  Publikacja

  • A. G. Pereira
  • A. Ojo
  • C. Edward
  • L. Porwol

  - Rok 2020

  There are growing opportunities to leverage new technologies and data sources to address global problems related to sustainability, climate change, and biodiversity loss. The emerging discipline of GeoAI resulting from the convergence of AI and Geospatial science (Geo-AI) is enabling the possibility to harness the increasingly available open Earth Observation data collected from different constellations of satellites and sensors...

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• VISUALIZATION OF SCANTER AND ARPA RADAR DATA IN THE DISTRIBUTED TELEINFORMATION SYSTEM FOR THE BORDER GUARD

  Publikacja

  • B. Czaplewski
  • S. Kaczmarek
  • J. A. Litka

  - Zeszyty Naukowe Akademii Marynarki Wojennej - Rok 2019

  Monitoring of country maritime border is an important task of the Border Guard. This activity can be enhanced with the use of the technology enabling gathering information from distributed sources, processing of that information and its visualization. The paper presents the next stage of development of the STRADAR project (Streaming of real-time data transmission in distributed dispatching and teleinformation systems of the Border...

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• Active learning on stacked machine learning techniques for predicting compressive strength of alkali-activated ultra-high-performance concrete

  Publikacja

  • F. Kazemi
  • T. Shafighfard
  • R. Jankowski
  • D. Yoo

  - Archives of Civil and Mechanical Engineering - Rok 2025

  Conventional ultra-high performance concrete (UHPC) has excellent development potential. However, a significant quantity of CO2 is produced throughout the cement-making process, which is in contrary to the current worldwide trend of lowering emissions and conserving energy, thus restricting the further advancement of UHPC. Considering climate change and sustainability concerns, cementless, eco-friendly, alkali-activated UHPC (AA-UHPC)...

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• Use of LIDAR Data in the 3D/4D Analyses of the Krakow Fortress Objects

  Publikacja

  • E. Głowienka
  • K. Michałowska
  • P. Opaliński
  • B. Hejmanowska
  • S. Mikrut
  • P. Kramarczyk

  - Rok 2017

  The 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...

• Distance learning trends: introducing new solutions to data analysis courses

  Publikacja

  • K. Flisikowski

  - Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej - Rok 2021

  Nowadays data analysis of any kind becomes a piece of art. The same happens with the teaching processes of statistics, econometrics and other related courses. This is not only because we are facing (and are forced to) teach online or in a hybrid mode. Students expect to see not only the theoretical part of the study and solve some practical examples together with the instructor. They are waiting to see a variety of tools, tutorials,...

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• Integration and verification of meteorological observations and NWP model data for the local GNSS tomography

  Publikacja

  • J. Bosy
  • W. Rohm
  • A. Borkowski
  • K. Kroszczynski
  • M. Figurski

  - ATMOSPHERIC RESEARCH - Rok 2010

  GNSS meteorology applies the Global Navigation Satellite Systems (GNSS) to derive information about the state of the atmosphere (particularly troposphere). The tomography is one of the methods used in GNSS meteorology. The input data of GNSS tomography are the signal troposphere delays, results of GNSS data processing and additionally meteorological observations and Numerical Weather Prediction (NWP) models data. Different types...

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• A Workflow Application for Parallel Processing of Big Data from an Internet Portal

  Publikacja

  • P. Czarnul

  - Rok 2014

  The 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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• Database for integration of information in distributed data exchange system elements of Border Guard

  Publikacja

  • S. Kaczmarek
  • M. Młynarczuk
  • M. Sac

  - Zeszyty Naukowe Akademii Marynarki Wojennej - Rok 2015

  The paper presents the database solution for integration of information in distributed data exchange system elements of the Polish Border Guard. The proposed database solution is described in the context of data exchange system elements which control position and store identification data of vessels (fishing, sports and sailing boats) and other suspicious objects on the territorial sea, sea-coast and the internal sea-waters controlled...

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• Application of Diversity Combining with RLS Adaptive Filtering in Data Transmission in a Hydroacoustic Channel

  Publikacja

  • A. Czapiewska
  • R. Studański
  • A. Łuksza
  • A. Żak

  - SENSORS - Rok 2020

  When transmitting data in a hydroacoustic channel under difficult propagation conditions, one of the problems is intersymbol interference (ISI) caused mainly by the effect of multipath propagation. This phenomenon leads to a decrease in transmission parameters, and sometimes completely prevents it. Therefore, we have made an attempt to use diversity combining with Recursive Least Squares (RLS) adaptive filtering to improve the...

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• Improved maximum power point tracking algorithms by using numerical analysis techniques for photovoltaic systems

  Publikacja

  • L. Guanghua
  • S. M. Hussain
  • A. M. Soomar
  • S. Shaikh
  • S. H. H. Shah

  - Results in Engineering - Rok 2024

  Solar photovoltaic (PV) panels generate optimal electricity when operating at the maximum power point (MPP). This study introduces a novel MPP tracking algorithm that leverages the numerical prowess of the predictor-corrector method, tailored to accommodate voltage and current fluctuations in PV panels resulting from variable environmental factors like solar irradiation and temperature. This paper delves into the intricate dynamics...

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• Differential analysis of impedance data

  Publikacja

  • K. Darowicki
  • K. Darowicki

  - ELECTROCHIMICA ACTA - Rok 1998

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• DATA MINING IN CONSTRUCTION RESEARCH

  Publikacja

  • J. Rosłon
  • H. Anysz
  • A. Nicał

  - Rok 2018

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• Distributed Learning with Data Reduction

  Publikacja

  • I. Czarnowski

  - Rok 2011

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• Reliability Analysis of Data Storage Using Survival Signature and Logic Differential Calculus

  Publikacja

  • P. Rusnak
  • P. Sedlacek
  • S. Czapp

  - Rok 2023

  The Data storage system is an important part of any information system. All the necessary data that must be available for the successful operation of the information system are stored here. Therefore, it is advisable to think about the reliability of such a data storage system. As part of reliability engineering, it is possible to perform a reliability analysis of any system. Therefore, the data storage system can be analyzed as...

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• Urban flash flood hazard identification and assessment applying geospatial techniques and hydrodynamic modeling; Erbil city case study, Kurdistan Region of Iraq

  Publikacja

  • A. M. Mustafa

  - Rok 2023

  This dissertation aims to investigate the factors behind flash flooding in Erbil's central district, located in the Kurdistan Region of Iraq, and develop a methodology for assessing flood hazards in the city, despite limited data accessibility. In this thesis, each factor was investigated, including analyzing extreme precipitation events in the last two decades, including their spatial and temporal distribution of rainfall, intensity,...

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