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Wyniki wyszukiwania dla: SONAR DATA PROCESSING
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Teleportation seen from spacetime: on 2-spinor aspects of quantum information processing
PublikacjaZastosowanie formalizmu 2-spinowego do kwantowego przetwarzania informacji zilustrowane przykładem teleportacji i relatywistycznej korelacji błędu.
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Effect of Processing Parameters on Strength and Corrosion Resistance of Friction Stir-Welded AA6082
PublikacjaThe friction stir welding method is increasingly attracting interest in the railway sector due to its environmental friendliness, low cost, and ease of producing high-quality joints. Using aluminum alloys reduces the weight of structures, increasing their payload and reducing fuel consumption and running costs. The following paper presents studies on the microstructure, strength, and corrosion resistance of AA6082 aluminum alloy...
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Measurements of Two-phase Flows in Pipelines Using Radioisotopes and Statistical Signal Processing
PublikacjaThis paper presents an application of radiotracers and gamma absorption method in two-phase flow measurements in pipelines. Two different methods were implemented to analysis of acquired signals. Investigated methods are based on the cross-correlation function and the phase of the cross-spectral density distribution. The examples presented in the article illustrate the application of the radioisotopes to evaluation of liquid-gas...
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Interfacial properties of PET and PET/starch polymers developed by air plasma processing
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The Use of Effective Microorganisms as a Sustainable Alternative to Improve the Quality of Potatoes in Food Processing
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Can high hydrostatic pressure processing be the best way to preserve human milk?
PublikacjaBreastfeeding is one of the most important factors influencing proper child development. When a mother cannot breastfeed, the best alternative, especially for feeding premature infants, is to then use of human milk (HM) which has been collected, preserved and stored in Human Milk Banks (HMB). Scope and approach: In this review, the impact of some stages of the management of HM in HMB on its final biological value and microbiological...
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Automatic analysis of the aggressive behavior of laboratory animals using thermal video processing
PublikacjaThe bite detection is very important but difficult element of the social interaction analysis. Standard observation methods like human observer or a camcorder of visible light frequencies fail in this case. However, it is possible to discern cooler spots on the rodent's body that appear after body contact with another individual, and vanish after short time. These spots are assumed to be a saliva trace left on fur after bite. In...
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The utilization of sludge generated in coagulation of fish processing wastewater for liquid feed production
PublikacjaWykorzystano koagulację do wydzielenia ze ścieków z przemysłu rybnego białek i tłuszczów. Uzyskany osad pokoagulacyjny dodawano do produkcji rybnych hydrolizatów białkowych. Zmodyfikowano proces wytwarzania rybnych hydrolizatów z wykorzystaniem kwasów siarkowego (VI) oraz ortofosforowego (V).
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Colorimetric study of the post-processing effect due to pulsed laser cleaning of paper.
PublikacjaW artykule przedstawiono wyniki badań procesu oczyszczania papieru implulsami laserowymi o różnej długości fali. Oceny dokonywano na podstawie pomierzonych wartości parametrów kolorymetrycznych. Badania obejmowały próbki papieru o różnym wieku.
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The influence of roasting and additional processing on the content of bioactive components in special purpose coffees
PublikacjaCoffee being the beverage consumed worldwide is also a very competitive commodity. Consequently, producers seek ways of attracting consumers by proposing e.g. novel ingredient combinations usually without evaluating their health quality. In this study, variations in health-promoting determinants for five special purpose coffee brews were characterized. The major bioactive components - chlorogenic acids (CAs) - detected by HPLC-DAD-MS...
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The Use of Liquid Crystal Thermography an Image Processing in Heat and Fluid-Flow Research
PublikacjaLiquid crystal thermography (LCT) have been used in many technical, industrial and biomedical applications [1]. During over 20 years it has been successfully applied in Department of Energy and Industrial Apparatus at Gdansk University of Technology for visualization of steady-state and transient temperature fields. In order to demonstrate feasibility of LCT techniques in practical heat transfer contexts, the authors have performed...
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A Fail-Safe NVRAM Based Mechanism for Efficient Creation and Recovery of Data Copies in Parallel MPI Applications
PublikacjaThe paper presents a fail-safe NVRAM based mechanism for creation and recovery of data copies during parallel MPI application runtime. Specifically, we target a cluster environment in which each node has an NVRAM installed in it. Our previously developed extension to the MPI I/O API can take advantage of NVRAM regions in order to provide an NVRAM based cache like mechanism to significantly speed up I/O operations and allow to preload...
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Researching Digital Society: Using Data-Mining to Identify Relevant Themes from an Open Access Journal
PublikacjaOpen Access scholarly literature is scientific output free from economic barriers and copyright restrictions. Using a case study approach, data mining methods and qualitative analysis, the scholarly output and the meta-data of the Open Access eJournal of e-Democracy and Open Government during the time interval 2009–2020 was analysed. Our study was able to identify the most prominent research topics (defined as thematic clusters)...
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Researching Digital Society: Using Data-Mining to Identify Relevant Themes from an Open Access Journal
PublikacjaOpen Access scholarly literature is scientific output free from economic barriers and copyright restrictions. Using a case study approach, data mining methods and qualitative analysis, the scholarly output and the meta-data of the Open Access eJournal of e-Democracy and Open Government during the time interval 2009–2020 was analysed. Our study was able to identify the most prominent research topics (defined as thematic clusters)...
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ADAPTATION OF ENGINEERING FEA-BASED ALGORITHMS TO LCF FAILURE AND MATERIAL DATA PREDICTION IN OFFSHORE DESIGN
PublikacjaThere is an ever growing industrial demand for quantitative assessment of fatigue endurance of critical structural details. Although FEA-based calculations have become a standard in engineering design, problems involving the Low-To-Medium cycle range (101-104) remain challenging. This paper presents an attempt to optimally choose material data, meshing density and other algorithm settings in the context of recent design of the...
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Parametric versus nonparametric modelling of dynamic susceptibility contrast enhanced MRI based data
PublikacjaDynamic tracking of a bolus of a paramagnetic agent (dynamic susceptibility contract - DSC) in MRI (magnetic resonance imaging) measurements is successfully used for assessment of the tissue perfusion and the other features and functions of the brain (i.e. cerebral blood flow - CBF, cerebral blood volume - CBV, mean transit time - MTT). The parametric and nonparametric approaches to the identification of MRI models are presented...
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Data-driven, probabilistic model for attainable speed for ships approaching Gdańsk harbour
PublikacjaThe growing demand for maritime transportation leads to increased traffic in ports. From this arises the need to observe the consequences of the specific speed ships reach when approaching seaports. However, usually the analyzed cases refer only to the statistical evaluation of the studied phenomenon or to the empirical modelling, ignoring the mutual influence of variables such as ship type, length or weather conditions. In this...
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Integration of Multi-Source Geospatial Data from GNSS Receivers, Terrestrial Laser Scanners, and Unmanned Aerial Vehicles
PublikacjaThe analysis based on geospatial data from different measurement systems now constitutes a complex numerical and practical enterprise. The dynamic development of modern technologies enables rapid and precise acquisition of such data. Nonetheless, the diversity of reference systems is today one of the main challenges for their correct interpretation. The combined use of the processed measurement results and archival data in paper...
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Postępy Techniki Przetwórstwa Spożywczego
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ChatGPT Application vis-a-vis Open Government Data (OGD): Capabilities, Public Values, Issues and a Research Agenda
PublikacjaAs a novel Artificial Intelligence (AI) application, ChatGPT holds pertinence not only for the academic, medicine, law, computing or other sectors, but also for the public sector-case in point being the Open Government Data (OGD) initiative. However, though there has been some limited (as this topic is quite new) research concerning the capabilities ChatGPT in these sectors, there has been no research about the capabilities it...
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Tomasz Maria Boiński dr inż.
OsobyZ uczelnią jestem związany już od 2000r kiedy to rozpocząłem studia na kierunku Informatyka wydziału Elektroniki, Telekomunikacji i Informatyki. Po ich ukończeniu z wyróżnieniem, w 2005 roku rozpocząłem studia doktoranckie. W trakcie studiów i bezpośrednio po ich zakończeniu zaangażowany byłem, we współpracy z firmą Hogart z Warszawy, we wdrażanie rozwiązań biznesowych w gdyńskiej firmie Elektronia S.A. (Infor FMS SunSystems) oraz...
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WETI (Data Engineering) - Mathematics 2023/24 (E.Kozłowska-Walania)
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Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention
PublikacjaThis paper describes two novel complementary techniques that improve the detection of lexical stress errors in non-native (L2) English speech: attention-based feature extraction and data augmentation based on Neural Text-To-Speech (TTS). In a classical approach, audio features are usually extracted from fixed regions of speech such as the syllable nucleus. We propose an attention-based deep learning model that automatically de...
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Heavy Duty Vehicle Fuel Consumption Modelling Based on Exploitation Data by Using Artificial Neural Networks
PublikacjaOne of the ways to improve the fuel economy of heavy duty trucks is to operate the combustion engine in its most efficient operating points. To do that, a mathematical model of the engine is required, which shows the relations between engine speed, torque and fuel consumption in transient states. In this paper, easy accessible exploitation data collected via CAN bus of the heavy duty truck were used to obtain a model of a diesel...
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Mobile inventory system for hydrotechnical objects using data from multiple sensors operating simultaneously
PublikacjaThe knowledge of the location, shape and other characteristics of spatial objects in the coastal areas has a significant impact on the functioning of ports, shipyards, and other water-infrastructure facilities, both offshore and inland. Therefore, measurements are taken of the underwater part of the waterside zone, which means the bottom of water and other underwater objects (e.g. breakwaters, docks, etc.), and objects above the...
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Open extensive IoT research and measurement infrastructure for remote collection and automatic analysis of environmental data.
PublikacjaInternet of Things devices that send small amounts of data do not need high bit rates as it is the range that is more crucial for them. The use of popular, unlicensed 2.4 GHz and 5 GHz bands is fairly legally enforced (transmission power above power limits cannot be increased). In addition, waves of this length are very diffiult to propagate under field conditions (e.g. in urban areas). The market response to these needs are the...
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Secure access control and information protection mechanisms in radio system for monitoring and acquisition of data from traffic enforcement cameras
PublikacjaThe study presents the architecture of the Radio System for Monitoring and Acquisition of Data from Traffic Enforcement Cameras (in short: RSMAD), particularly concerning access control and protection of confidential data. RSMAD security structure will be discussed in relation to network security issues. Additionally, the paper presents the results of the work associated with the modelling of potential threats to system security.
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Count Data Modeling About Relationship Between Dubai Housing Sales Transactions and Financial Indicators
PublikacjaIn this study, illustrating and comparing the performances of count data models such as Poisson, negative binomial (NB), Hurdle and zero-inflated models for the determination of factors affected housing sales in Dubai. Model comparisons are made via Akaike’s information criterion (AIC), the Vuong test and examining the residuals. Main purpose of this study is building reliable statistical model for relationship between Dubai housing...
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COVID-19 severity forecast based on machine learning and complete blood count data
PublikacjaProper triage of COVID-19 patients is a key factor in eective case management, especially with limited and insucient resources. In this paper, we propose a machine-aided diagnostic system to predict how badly a patient with COVID-19 will develop disease. The prognosis of this type is based on the parameters of commonly used complete blood count tests, which makes it possible to obtain data from a wide range of patients.We chose...
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COVID-19 severity forecast based on machine learning and complete blood count data
PublikacjaProper triage of COVID-19 patients is a key factor in eective case management, especially with limited and insucient resources. In this paper, we propose a machine-aided diagnostic system to predict how badly a patient with COVID-19 will develop disease. The prognosis of this type is based on the parameters of commonly used complete blood count tests, which makes it possible to obtain data from a wide range of patients.We chose...
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GaMRed – adaptive filtering of high-throughput biological data
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New distributional data on bryophytes of Poland and Slovakia, 9
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New distributional data on bryophytes of Poland and Slovakia, 3
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Consumer Bankruptcy Prediction Using Balanced and Imbalanced Data
PublikacjaThis paper examines the usefulness of logit regression in forecasting the consumer bankruptcy of households using an imbalanced dataset. The research on consumer bankruptcy prediction is of paramount importance as it aims to build statistical models that can identify consumers in a difficult financial situation that may lead to consumer bankruptcy. In the face of the current global pandemic crisis, the future of household finances...
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K-means clustering for SAT-AIS data analysis
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Pipeline geometry defects in high resolution pig's data
PublikacjaMost of the pipelines have been inspected at least once using intelligent pigging. The problem of specific software for interactive presentation, analysis and comparison of features revealed during the consecutive geometry surveys is emphasized. Capabilities of a simultaneous measurement of internal geometry and metal loss features in a single run are illustrated. Advantages of application of statistical characteristics of both...
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Scientific tools for collecting and analysing medical data in rhinology.
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Data transmission optical link for RF-GUN project
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A New Approach For High Speed Data Transmission Monitoring
PublikacjaW artykule przedstawiono nowatorski sposób monitorowania szybkiej transmisji danych. Technika została zaprezentowana dla przypadku transmisji różnicowej na płycie drukowanej. Cechą szczególną rozwiązania jest możliwość pomiaru jakości transmisji w linii bez konieczności montowania dedykowanych złącz pomiarowych, które mogłyby degradować transmisję.
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Learning from examples with data reduction and stacked generalization
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An Agent-Based Simulated Annealing Algorithm for Data Reduction
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Agent-Based Data Reduction Using Ensemble Technique
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Bi-criteria Data Reduction for Instance-Based Classification
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Stacking-Based Integrated Machine Learning with Data Reduction
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passive spice networks from non-passive data
PublikacjaArtykuł przestawia technike generacji schematow zastepczych w formacie SPICE dla pasywnych układów mikrofalowych. Wynikowy schemat zastepczy ma zagwarantowana pasywnosc. Schematy zastepcze powstaja na podstawie symulacji lub pomiarow w dziedzinie czestotliwosci i moga byc wykorzystane do symulacji w dziedzinie czasu.
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Manganese Distribution in CdMnTeSe Crystals. EXAFS Data Analysis
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VALIDATION OF A THREE-DIMENSIONAL HEAD PHANTOM FOR IMAGING DATA
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Removal of the membrane penetration error from triaxial data
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Paleoecological and historical data as an important tool in ecosystem management
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Chest Injuries Based on Medical Rescue Team Data
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