Filtry
wszystkich: 8977
-
Katalog
- Publikacje 5473 wyników po odfiltrowaniu
- Czasopisma 184 wyników po odfiltrowaniu
- Konferencje 79 wyników po odfiltrowaniu
- Osoby 172 wyników po odfiltrowaniu
- Wynalazki 13 wyników po odfiltrowaniu
- Projekty 20 wyników po odfiltrowaniu
- Laboratoria 2 wyników po odfiltrowaniu
- Zespoły Badawcze 1 wyników po odfiltrowaniu
- Kursy Online 270 wyników po odfiltrowaniu
- Wydarzenia 33 wyników po odfiltrowaniu
- Dane Badawcze 2730 wyników po odfiltrowaniu
wyświetlamy 1000 najlepszych wyników Pomoc
Wyniki wyszukiwania dla: RGB-D DATA
-
Possibility of determination of transport coefficients D and k from relaxation experiments for sphere-shaped powder samples
Publikacja -
Biological study on carboxymethylated (1→3)-α-d-glucans from fruiting bodies of Ganoderma lucidum
Publikacja -
An improved methodology for the synthesis of 1-C-allyl imino-d-xylitol and -l-arabinitol and their rapid functionalization
Publikacja -
Dyes based on the D/A-acetylene linker-phenothiazine system for developing efficient dye-sensitized solar cells
Publikacja -
Impact of Investments and R&D Costs in Renewable Energy Technologies on Companies’ Profitability Indicators: Assessment and Forecast
Publikacja -
Etudes d`ecoulement de l`eau a court terme dans le plan des geotextiles.
PublikacjaOpis stanowiska badawczego i wyniki badań krótkoterminowego przepływu wody w płaszczyźnie geotekstyliów. Badania prowadzono przy zmiennym nacisku normalnym na próbkę i zmiennym gradiencie hydraulicznym. Analizowano aspekty teoretyczne i praktyczne tego rodzaju doświadczeń. Przedstawiono również próbę opisu matematycznego przepływu wody w płaszczyźnie geosyntetyków. Przyjęto układ równań rózniczkowych opisujących stan równowagi...
-
R&D of satellite pumps and motors with small geometrical displacement supplied with oil and non-flammable liquids
PublikacjaThe newest construction of satellite motors and self-suction satellite pumps with small geometrical displacement have been described in this article. The characteristics of volumetric and total efficiency of one satellite motor, selected from the series, supplied with oil have been presented. These characteristics have been compared with the orbital motors' characteristics. The remaining specifications of these motors were also...
-
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...
-
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...
-
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...
-
SEM image and EDS map of SrTi0.50Fe0.50O3-d porous electrode sintered at 800 °C
Dane BadawczeThis dataset contains image of the SrTi0.50Fe0.50O3-d porous electrode sintered at 800 °C with EDS map analysis results. This study were performed for better understanding the chemical composition of flat like structures that occurs in electrode. Images were obtained using a PhenomXL (Thermo Fisher Scientific, the Netherlands) scanning electron microscope...
-
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...
-
A universal IT system architecture for servicing, collecting, storing, processing and presenting data from wireless devices
PublikacjaIn the article we present a universal IT system architecture, which allows one to develop, based on mobile and multiplatform JAVA language, applications capable of working with many different wireless systems in an easy and effective way. Modular system architecture supports efficient data processing and enables convenient presentation of chosen parameters. Additionally, proposed IT system architecture provides easy adoption to...
-
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...
-
Thermal Image Processing for Respiratory Estimation from Cubical Data with Expandable Depth
PublikacjaAs 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...
-
Influence of YARN Schedulers on Power Consumption and Processing Time for Various Big Data Benchmarks
PublikacjaClimate change caused by human activities can influence the lives of everybody onthe planet. The environmental concerns must be taken into consideration by all fields of studyincludingICT. Green Computing aims to reduce negative effects of IT on the environment while,at the same time, maintaining all of the possible benefits it provides. Several Big Data platformslike Apache Spark orYARNhave become widely used in analytics and...
-
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...
-
Dia- and paramagnetic contributions to magnetizabilities of relativistic hydrogenlike atoms in some low-lying discrete energy eigenstates
PublikacjaIn this paper we present tabulated data for relative diamagnetic and paramagentic contributions to the magnetizability ($\chi$) of the relativistic hydrogenlike atoms with a pointlike, motionless and spinless nucleus of charge $Ze$. Utilizing general analytical formulas for the diamagnetic ($\chi_{d}$) and paramagnetic ($\chi_{p}$) components of $\chi$, recently derived by us [P. Stefa{\'n}ska, 2020] with the aid of the Gordon...
-
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...
-
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...
-
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...
-
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.
-
MATCHED FILTER APPROACH FOR MICROSEISMIC SIGNAL PROCESSING OF REAL DATA FROM EAST POMERANIA SHALE GAS
PublikacjaThe microseismic monitoring is a method of monitoring of fracture propagation during hydraulic fracturing (HF)process. An array of several hundred geophones is placed on the surface to record little ground tremors induced by fracturing process. Filtration and summation of signals from geophones is essential to identify and locate fracturing events from underground. Authors propose a method of matched filtering, that is usually...
-
Study of the influence of medium composition on motility and aggregation of recombinant Escherichia coli strain BL21(DE3)/pCC90 Dra D-mut-PBS, PBS+0.2% glucose, PBS+0.5% glucose
Dane BadawczeMicrobial motility is a fundamental aspect of many microbial life cycles and is a key survival mechanism that enables microorganisms to navigate diverse and dynamic environmental conditions. This phenomenon becomes particularly important in response to changes in stimuli in time and space. The following experiment aimed to investigate how the composition...
-
Study of the influence of medium composition on motility and aggregation of recombinant Escherichia coli strain BL21(DE3)/pCC90 Dra D-mut-LB, LB+0.2% glucose, LB+0.5% glucose
Dane BadawczeMicrobial motility is a fundamental aspect of many microbial life cycles and is a key survival mechanism that enables microorganisms to navigate diverse and dynamic environmental conditions. This phenomenon becomes particularly important in response to changes in stimuli in time and space. The following experiment aimed to investigate how the composition...
-
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...
-
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...
-
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...
-
Scientific tools for collecting and analysing medical data in rhinology.
Publikacja -
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...
-
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...
-
Data transmission optical link for RF-GUN project
Publikacja -
Removal of the membrane penetration error from triaxial data
Publikacja -
Paleoecological and historical data as an important tool in ecosystem management
Publikacja -
Chest Injuries Based on Medical Rescue Team Data
Publikacja -
Semantic Data Sharing and Presentation in Integrated Knowledge System
Publikacja -
Advances in Measurement and Data Analysis of Surfaces with Functionalized Coatings
Publikacja -
An INSPIRE-Based Vocabulary for the Publication of Agricultural Linked Data
Publikacja -
Energy-Optimal Data Aggregation and Dissemination for the Internet of Things
Publikacja -
GaMRed – adaptive filtering of high-throughput biological data
Publikacja -
New distributional data on bryophytes of Poland and Slovakia, 9
Publikacja -
New distributional data on bryophytes of Poland and Slovakia, 3
Publikacja -
K-means clustering for SAT-AIS data analysis
Publikacja -
Manganese Distribution in CdMnTeSe Crystals. EXAFS Data Analysis
Publikacja -
VALIDATION OF A THREE-DIMENSIONAL HEAD PHANTOM FOR IMAGING DATA
Publikacja -
Learning from examples with data reduction and stacked generalization
Publikacja -
An Agent-Based Simulated Annealing Algorithm for Data Reduction
Publikacja -
Agent-Based Data Reduction Using Ensemble Technique
Publikacja -
Bi-criteria Data Reduction for Instance-Based Classification
Publikacja -
Stacking-Based Integrated Machine Learning with Data Reduction
Publikacja