Filtry
wszystkich: 12586
-
Katalog
- Publikacje 11066 wyników po odfiltrowaniu
- Czasopisma 345 wyników po odfiltrowaniu
- Konferencje 60 wyników po odfiltrowaniu
- Osoby 236 wyników po odfiltrowaniu
- Projekty 3 wyników po odfiltrowaniu
- Kursy Online 284 wyników po odfiltrowaniu
- Wydarzenia 5 wyników po odfiltrowaniu
- Dane Badawcze 587 wyników po odfiltrowaniu
wyświetlamy 1000 najlepszych wyników Pomoc
Wyniki wyszukiwania dla: DESCRIPTIVE ANALYSIS METHODS
-
Communications in Mathematical Analysis
Czasopisma -
Global and Stochastic Analysis
Czasopisma -
Journal of Analysis and Applications
Czasopisma -
GEOMETRIC AND FUNCTIONAL ANALYSIS
Czasopisma -
Microbial Risk Analysis
Czasopisma -
Transactional Analysis Journal
Czasopisma -
Numerical Analysis and Applications
Czasopisma -
Health Risk Analysis
Czasopisma -
Risk and Decision Analysis
Czasopisma -
JOURNAL OF MULTIVARIATE ANALYSIS
Czasopisma -
JOURNAL OF CONVEX ANALYSIS
Czasopisma -
JOURNAL OF GEOMETRIC ANALYSIS
Czasopisma -
JOURNAL OF PRODUCTIVITY ANALYSIS
Czasopisma -
Results in Nonlinear Analysis
Czasopisma -
Applied Economic Analysis
Czasopisma -
MEDICAL IMAGE ANALYSIS
Czasopisma -
Constructive Mathematical Analysis
Czasopisma -
European Policy Analysis
Czasopisma -
Mathematical Modelling and Analysis
Czasopisma -
Analysis in Theory and Applications
Czasopisma -
Communications in Analysis and Mechanics
Czasopisma -
JOURNAL OF FUNCTIONAL ANALYSIS
Czasopisma -
Journal of Tourism Analysis
Czasopisma -
PATTERN ANALYSIS AND APPLICATIONS
Czasopisma -
LIFETIME DATA ANALYSIS
Czasopisma -
Spatial Economic Analysis
Czasopisma -
SURFACE AND INTERFACE ANALYSIS
Czasopisma -
STOCHASTIC ANALYSIS AND APPLICATIONS
Czasopisma -
SET-VALUED ANALYSIS
Czasopisma -
Classification and fingerprinting of kiwi and pomelo fruits by multivariate analysis of chromatographic and spectroscopic data
PublikacjaThe fingerprinting capacity of two analytical techniques, HPLC and UV-Vis spectroscopy in the case of fruits samples (kiwi and pomelo) has been investigated. The multivariate exploratory techniques were used for sample discrimination according to the fruit species and subspecies. The combination of principal component analysis with linear discriminant analysis is opening new directions in the fingerprinting analysis. The classifications...
-
Analysis of magnetic disturbances of air platform caused by induced magnetisation
PublikacjaMagnetometric systems installed on air platforms like airplanes or helicopters are equipped in compensators of magnetic disturbances. Time changes of the platform's position caused generation of magnetic disturbances. The permanent and induced magnetization of ferromagnetic elements and eddy currents induced in conducting parts of the platform are sources of these disturbances. The linear model of magnetic disturbances of platforms...
-
The structure of strontium–borate glass-ceramics containing crystalites of Bi2VO5.5. measured with X-ray diffraction and SEM methods
Dane BadawczeThe structure of strontium–borate glass-ceramics containing Bi2VO5.5 crystallites was measured by XRD and SEM.
-
Evaluation of Machine Learning Methods for the Experimental Classification and Clustering of Higher Education Institutions
PublikacjaHigher education institutions have a big impact on the future of skills supplied on the labour market. It means that depending on the changes in labour market, higher education institutions are making changes to fields of study or adding new ones to fulfil the demand on labour market. The significant changes on labour market caused by digital transformation, resulted in new jobs and new skills. Because of the necessity of computer...
-
How can analysts use multicriteria decision analysis?
PublikacjaProper decision making in multifacitated situation is very challenging task. It is especially difficult if there are many alternatives and criteria that are often contradictory. Analytical chemistry and related sciences involve many situations where decisions on complex problems are made. The support tools may be the use of MCDA (Multi-criteria Decision Analysis) algorithms. They formalize the decision process, make it transparent...
-
RDF dataset profiling - a survey of features, methods, vocabularies and applications
PublikacjaThe Web of Data, and in particular Linked Data, has seen tremendous growth over the past years. However, reuse and take-up of these rich data sources is often limited and focused on a few well-known and established RDF datasets. This can be partially attributed to the lack of reliable and up-to-date information about the characteristics of available datasets. While RDF datasets vary heavily with respect to the features related...
-
Environmental impact of construction. Methods of conscious shaping architecture in terms of ecological solutions
PublikacjaShaping an ecologically conscious society is a process that also affects architecture. Currently, designers are eagerly looking for solutions that are beneficial in terms of carbon footprint. For the proper multi-criteria assessment and selection of adequate solutions, it is necessary to use appropriate tools such as, for example, the Life Cycle Assessment (LCA) method or the rules of ecological certification (BREEAM and LEED)....
-
Hybrid Analysis of Structures Composed of Axially Symmetric Objects
Publikacja— A hybrid method for the scattering problems in shielded and open structures is presented. The procedure is based on the combination of body-of-revolution involving finite-element methods with impedance matrix formulation and the mode-matching technique, which can be utilized for the analysis of structures with axially symmetrical scatterers. In order to confirm the validity and efficiency of the proposed approach, a few examples...
-
Mariusz Kaczmarek dr hab. inż.
OsobyReceived M.Sc., Eng. in Electronics in 1995 from Gdansk University of Technology, Ph.D. in Medical Electronics in 2003 and habilitation in Biocybernetics and Biomedical Engineering in 2017. He was an investigator in about 13 projects receiving a number of awards, including four best papers, practical innovations (7 medals and awards) and also the Andronicos G. Kantsios Award and Siemens Award. Main research activities: the issues...
-
Anomaly Detection in Railway Sensor Data Environments: State-of-the-Art Methods and Empirical Performance Evaluation
PublikacjaTo date, significant progress has been made in the field of railway anomaly detection using technologies such as real-time data analytics, the Internet of Things, and machine learning. As technology continues to evolve, the ability to detect and respond to anomalies in railway systems is once again in the spotlight. However, railway anomaly detection faces challenges related to the vast infrastructure, dynamic conditions, aging...
-
A Set of Low-power Microcontroller-based Modules Used for Testing of Small Energy Measurement Methods
PublikacjaEstimation of energy consumption of low-power devices is not widely discussed in the scientific literature, but this topic is getting more and more popular. Evaluation process of newly developed methods and instrumentation requires carefull treatment. In order to fulfill this niche, the set of micro-power microcontroller based devices was proposed. The devices represent typical energy consuption profiles and allow experimental verification...
-
Experimental investigation on straight and u-bend double tube heat exchanger with active and passive enhancement methods
PublikacjaAuthors in this work want to demonstrate the possibility to increase the heat transfer efficiency by using simple wire coil inserts to create turbulent flow in the boundary layer as well as air blowing into the annulus of the pipe. In the study, Wilson plot approach was applied in order to estimate heat transfer coefficients for all heat exchanger (HX) configurations. The study focuses on experimental values of heat transfer coefficient...
-
The Application of Satellite Image Analysis in Oil Spill Detection
PublikacjaIn recent years, there has been an increasing use of satellite sensors to detect and track oil spills. The satellite bands, namely visible, short, medium infrared, and microwave radar bands, are used for this purpose. The use of satellite images is extremely valuable for oil spill analysis. With satellite images, we can identify the source of leakage and assess the extent of potential damage. However, it is not yet clear how to...
-
Analysis of arsenic species in environmental samples
PublikacjaMany analytical methods for determining arsenic in various forms in environmental samples have been developed in recent years. The main objective of this review article is the presentation and comparison of the three principal techniques for the determination arsenic compounds, namely: hydride generation (HG), voltammetry and chromatography (liquid chromatography including high-performance liquid chromatography (HPLC), and gas...
-
CFD analysis of a flow in commutation window in PWK pump
Dane BadawczeThe included data is a result of CFD analysis of a flow in a commutation window in PWK pump. The results were obtained for different pressures, viscosities and geometrical parameters of the gap. All the rows and columns have descriptions similar as in PhD Thesis: "Kompensacja skoków ciśnienia w pompie tłoczkowej o zmiennej wydajności z rozrządem krzywkowym",...
-
Analysis of radiometric signal in sedimentating suspension flow in open channel
PublikacjaThe article discusses issues related to the estimation of the sedimentating solid particles average flow velocity in an open channel using radiometric methods. Due to the composition of the compound, which formed water and diatomite, received data have a very weak signal to noise ratio. In the process analysis the known determining of the solid phase transportation time delay the classical cross-correlation function is the most...
-
Thermogravimetric analysis (TGA ) and derivative thermogravimetry (DTG) results for potassium citrate
Dane BadawczeThese data contains thermogravimetric analysis (TGA ) and derivative thermogravimetry (DTG) results for thermal decomposition of potassium citrate.
-
Electrochemical methods for corrosion rate determination under cathodic polarisation conditions - a review. Part II - AC methods
PublikacjaPrzedstawiono krytyczny przegląd prac dotyczących wykorzystania metod elektrochemicznych zmiennoprądowych do wyznaczania prądu korozyjnego metali polaryzowanych katodowo. Przedyskutowano stosowanie klasycznej liniowej spektroskopii impedancyjnej (EIS) z użyciem sygnałów pobudzających niskoamplitudowych, a następnie techniki zmiennoprądowe bazujące na sygnałach wysokoamplitudowych, a więc w zakresie nieliniowej charakterystyki polaryzacyjnej...
-
Electrochemical methods for corrosion rate determination under cathodic polarisation conditions - a review. Part I - DC methods
PublikacjaPrzedstawiono krytyczny przegląd prac dotyczących wykorzystania metod elektrochemicznych stałoprądowych do wyznaczania prądu korozyjnego metali polaryzowanych katodowo. Opisano dotychczasowe sposoby oceny skuteczności ochrony katodowej na podstawie pomiarów krzywych polaryzacji i rezystancji polaryzacyjnej. Scharakteryzowano metody matematyczne i oprogramowanie opracowane do analizy komputerowej krzywych polaryzacji w celu wyznaczenia...
-
Impact of Energy Slope Averaging Methods on Numerical Solution of 1D Steady Gradually Varied Flow
PublikacjaIn this paper, energy slope averaging in the one-dimensional steady gradually varied flow model is considered. For this purpose, different methods of averaging the energy slope between cross-sections are used. The most popular are arithmetic, geometric, harmonic and hydraulic means. However, from the formal viewpoint, the application of different averaging formulas results in different numerical integration formulas. This study...
-
Influence of datasets decreased by applying reduction and generation methods on Digital Terrain Models
PublikacjaThe number of point clouds provided by LiDAR technology can be sometimes seen as a problem in development and further processing for given purposes (e.g. Digital Terrain Model (DTM) generation). Therefore, there is still a need to reduce the obtained big datasets. Reducing can be done, inter alia, by reducing the size of the set or by generating the set. This paper presents two variants of the reduction of point clouds in order...