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Upon the emergence of the Virtual Identity concept, the author analyses Web user modelling possibilities by Identity-related systems. Modelling perspectives and structures that can be used for representing users are examined and available resources that can support the modelling process are compared. Then, a set of recommendations and guidelines for improvement is given for the current solutions in the analysed field.
2D-models of multilayered plates are usually derived by a discretization approach across the plate thickness. Every discretized element coincides with a homogeneous layer of the medium and basic unknowns are assumed to be temperature and/or displacement fi elds on the plate interfaces. If the number of homogeneous layers is large then the discretization approach leads to a large number of basic unknowns. In this contribution there is proposed a new approach to the 2D-modelling of heat conduction which results in 2D-model equations for only two basic unknowns, independently of the number of layers.
The aim of the research was to identify the potential for the use of probability density functions (PDF) in modeling of near-surface wind speed. The approaches of Empirical Orthogonal Functions (EOF) and Canonical Correlation Analysis (CCA) are used in combination with 2-parametric Weibull distribution. The downscaling model was built using a diagnosed relationship between sea level pressure (SLP) patterns over Europe and the Northern Atlantic and estimated monthly values of Weibull parameters at 9 stations along the Polish Baltic Coast. The obtained scale (A) and shape (k) parameters make it possible to describe temporal variations of wind fields and their theoretical probability values. This may have further application in the modeling of extreme wind speeds for seasonal forecasting, climate prediction or in historical reconstructions. The model evaluation was done separately for the calibration (1971-2000) and validation periods (2001-2010). The scale parameter was reconstructed reasonably, while there were some problematic issues with the shape parameter, especially in the validation period. The quality of the developed models is generally higher for the winter season, due to larger SLP gradients, whereas the results for the spring and summer seasons were less satisfactory. Despite this, the 99th percentile of theoretical wind speeds are in most cases satisfactory, due to the lesser importance of the shape parameter for typical distributions in the analyzed region.
Folia Morphologica
|
2006
|
tom 65
|
nr 2
132-135
The paper presents the effects of computer modelling of the inner structure of the calvarium from CT scans using MeeSoft Image Analyzer software. This software generates a model image, which can be enlarged and viewed from different angles without visible distortion or blurring of the contours. Similar manipulation with the original CT scan produces destructive effects, which hinder visualisation of the anatomical structures.
Global climate change is anticipated to have consequences on water resources and the envi-ronment both at global and local/regional levels. Efforts towards proper management of future water resources and resolving potential water-related conflicts require the formulation of appropriate techniques to downscale the output of global climate models (GCM) to local conditions for hydrologic prediction. The paper presents an integrated framework for modeling the impact of climate change on river runoff that combines methodology for downscaling climate change scenarios for a basin scale with a hydrological model to estimate the impact of climate change on a river runoff. The modeling framework uses long-term observations of meteorological and hydrological variables together with a climate change scenario to provide a projection of future flows for the specified time horizon. The framework is based on a spatial weather generator and a distributed rainfall-runoff model. Such a configuration enables a reflection of the uncertainty of future conditions by running multiple realizations of future conditions, and also take into account the spatial variability of hydrological properties in the catchment by maintaining the physical details at a given grid size. The performance of the framework was presented for the Kaczawa basin that is one of the main left bank tributaries of the Odra River – the second biggest river in Poland. The results show simulated changes of the future river flow regime caused by climatic changes for two time horizons: 2040 and 2080.
The paper discusses various approaches to modelling measures of the Common Agricultural Policy (CAP) within a computable general equilibrium (CGE) framework for the new budgetary period 2014–2020. The task of modelling such a complex policy as the CAP with the use of CGE is not easy at least for three reasons. First, the policy itself is very complex – Pillar 2 alone includes about 17 very heterogeneous measures, which differ in terms of implementation and eligibility criteria. Pillar 1 measures are not targeted (in terms of goods and services that may be bought with these funds) and thus the assessment of their impact requires additional knowledge on how they were spent. Second, although CGE models represent all sectors of the economy, yet they normally do not characterise individual sectors with such a precision as would be desired for modelling the nuances of the individual CAP measures. Third, the CAP evolves towards less tangible measures (risk management, quality improvements, conditionality based on environmental requirements), and towards increasing role of non-marketed goods (provision of public goods, environmental amenities, food safety). There is also an increasing role of human capital manifested by e.g. bottom-up approaches or co-operation measures. They, however, are difficult to grasp by the CGE models since they are not directly observed or linked to the exogenous variables controlled in this types of models. While taking all the challenges into account and relaying on a literature review the article presents some solution and makes suggestions for possible ways of modelling new CAP 2014–2020 within CGE modelling framework which may be useful in the policy evaluation.
Constantly increasing demands for experimental modeling of engineering processes across the board helps fill a very powerful computer. Despite this fact, it is extremely important to find and verify the mathematical model, which actually corresponds to reality. This allows you to perform difficult analysis of observed values observed phenomenon. By this purpose, we need to design methodologies for modeling which is the aim of presented article.
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The present study covers proposals related to the formation of the traffic flow in an urban transportation system. An analysis was also presented of the traffic flow in a urban transportation system within two selected days of the week.
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