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Search results for: tax optimization
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STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
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Applications of the max-min fairness principle in telecommunication network design
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A polynomial algorithm for solving a general max‐min fairness problem
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Realizacja usługi Fax w sieci z technologią IP
PublicationZastosowanie technologii IP jako platformy usług telekomunikacyjnych wymaga realizacji przez tą sieć usługi Fax. Niestety specyfika tej usługi oraz właściwości sieci z protokołem IP stwarzają szereg problemów przy praktycznej jej realizacji. W niniejszym artykule przedstawiono dwa sposoby realizacji usługi Fax w postaci aplikacji SIP-t31modem oraz Terminal-T.38. Oba rozwiązania poddano testom i omówiono uzyskane wyniki.
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Architektura jako sztuka - ależ tak! Dziś wobec wczoraj
Publicationwciąż toczy sie spór o artystyczna stronę działalności architektów i w zwiazku z tym czynnika sztuki w architekturze; jeszcze jeden glos w dyskusji.
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Tax support mechanisms for research and development projects in EU countries
Open Research DataOne of the important areas requiring special support from the state are activities in pro-innovative investments. Tax incentives allocated to research and development are used by practically all European Union countries. Their aim is to persuade entities conducting business activity to invest in the so-called new technologies - defined as the area of...
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Value of tax preferences by areas of support and types of taxes in 2013
Open Research DataThese data contain information prepared by the Ministry of Finance on the value of tax preferences by areas of support and types of taxes in 2013.
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Value of tax preferences in 2009-2015 as a percentage of Polish GDP
Open Research DataThis research data shows the percentage of the amount of tax preferences as a percentage of Polish GDP between 2009-2015. The data contained in this dataset has been collected by the Polish Ministry of Finance.
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Value of tax preferences by areas of support and types of taxes in 2014
Open Research DataThese data contain information prepared by the Ministry of Finance on the value of tax preferences by areas of support and types of taxes in 2014.
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Value of tax preferences by areas of support and types of taxes in 2011
Open Research DataThese data contain information prepared by the Ministry of Finance on the value of tax preferences by areas of support and types of taxes in 2009.
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Value of tax preferences by areas of support and types of taxes in 2009
Open Research DataThese data contain information prepared by the Ministry of Finance on the value of tax preferences by areas of support and types of taxes in 2009.
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Value of tax preferences by areas of support and types of taxes in 2010
Open Research DataThese data contain information prepared by the Ministry of Finance on the value of tax preferences by areas of support and types of taxes in 2010.
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Indicators describing the effectiveness of tax systems of selected OECD countries
Open Research DataThe following research data include indicators describing the effectiveness of the tax administration activity in Poland compared to selected countries. In economic understanding efficiency is measured by the calculation of the expenditure of funds spent on its operation and performance of statutory functions. In this respect, the basic indicator is...
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Value of tax preferences by areas of support and types of taxes in 2012
Open Research DataThese data contain information prepared by the Ministry of Finance on the value of tax preferences by areas of support and types of taxes in 2012.
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Results of research on the SME sector in the context of applying tax reliefs
Open Research DataThis dataset presents the quantitative results of the survey conducted in the period June 2019 - April 2020. In total, 274 completed survey questionnaires were obtained.
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Upper corporate income tax rates CIT in EU countries (in%).
Open Research DataIn 2000, CIT rates were quite varied; in Ireland and Lithuania it was 24%, and in Germany it was nearly 52%. For all EU countries, the average CIT rate was at the level of 32%, but in the following years the rate decreased to reach the level of around 22.5%. The largest reductions in the CIT rate were introduced by Bulgaria and Germany. Particularly...
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Top personal income tax rates (PIT) in EU countries (in%).
Open Research DataWhen analyzing the historical PIT rates, it should be noted that in 2000 the average rate was almost 45%. The highest income tax (approx. 60%) was imposed in Belgium, Denmark, as well as in the Netherlands and France. On the other hand, the lowest (25%) rates were recorded in Estonia and Latvia, which were not yet members of the European Union. In the...
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The level of Knowledge and use of tax exemptions for R&D activities
Open Research DataThe following research data contains the answers of 259 entrepreneurs to questions regarding tax reliefs and exemptions for research and development activities. As part of the study answers to the following questions were obtained:Have you ever used the tax relief for new technologies / R&D?Has your company acquired a license / software (intangible...
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Knowledge and level of use of tax exemptions for R&D activities
Open Research DataThe research results contain answers to questions about the level of knowledge and skills in using concessions and exemptions for research and development (R&D) activities in Poland.
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Organic Rankine cycle turbogenerator cooling – Optimization of the generator water jacket heat exchange surface
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Vessel Scheduling Optimization Model Based on Variable Speed in a Seaport with One-Way Navigation Channel
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Glycerolic Licorice Extracts as Active Cosmeceutical Ingredients: Extraction Optimization, Chemical Characterization, and Biological Activity
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Modeling, run-time optimization and execution of distributed workflow applications in the JEE-based BeesyCluster environment
PublicationArtykuł prezentuje kompletne rozwiązanie do modelowania naukowych i biznesowych scenariuszy. statycznego i dynamicznego wyboru usług z uwzględnieniem parametrów jakościowych oraz wykonanie scenariuszy w rzeczywistym środowisku. Scenariusz jest modelowany jako acykliczny graf skierowany, w którym węzły reprezentują zadania zaś krawędzie zależności pomiędzy zadaniami. Warstwa pośrednia BeesyCluster jest wykorzystana do umożliwienia...
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Industrial wastewater as an external carbon source for optimization of nitrogen removal at the "Wschod" WWTP in Gdansk (Poland)
PublicationCarbon source alternatives for denitrification belong to the highest research area priorities as they allow to optimize N removal within the existing capacities. In particular, some food industry effluents appear to be good candidates for such alternatives due to their high C/N ratios and high content of readily biodegradable organic fraction. The aim of this study was to determine the immediate effects of dosing different types...
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Optimization of Transport Properties of A-Site Ordered LnBa1-xSrxCo2-yFeyO5+ Perovskite-Type Cathode Materials
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<title>Cavity control system: optimization methods for single cavity driving and envelope detection</title>
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Application of a modified evolutionary algorithm for the optimization of data acquisition to improve the accuracy of a video-polarimetric system
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Optimization of Data Assignment for Parallel Processing in a Hybrid Heterogeneous Environment Using Integer Linear Programming
PublicationIn the paper we investigate a practical approach to application of integer linear programming for optimization of data assignment to compute units in a multi-level heterogeneous environment with various compute devices, including CPUs, GPUs and Intel Xeon Phis. The model considers an application that processes a large number of data chunks in parallel on various compute units and takes into account computations, communication including...
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W-dominance: Tradeoff-inspired dominance relation for preference-based evolutionary multi-objective optimization
PublicationThe paper presents a method of incorporating decision maker preferences into multi-objective meta-heuristics. It is based on tradeoffcoefficients and extends their applicability from bi-objective to multi-objective. The method assumes that a decision maker specifies a priori each objective’s importance as a weight interval. Based on this, w-dominance relation is introduced, which extends Pareto dominance. By replacing reference...
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Rapid Multi-Criterial Antenna Optimization by Means of Pareto Front Triangulation and Interpolative Design Predictors
PublicationModern antenna systems are designed to meet stringent performance requirements pertinent to both their electrical and field properties. The objectives typically stay in conflict with each other. As the simultaneous improvement of all performance parameters is rarely possible, compromise solutions have to be sought. The most comprehensive information about available design trade-offs can be obtained through multi-objective optimization...
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On Fast Multi-objective Optimization of Antenna Structures Using Pareto Front Triangulation and Inverse Surrogates
PublicationDesign of contemporary antenna systems is a challenging endeavor, where conceptual developments and initial parametric studies, interleaved with topology evolution, are followed by a meticulous adjustment of the structure dimensions. The latter is necessary to boost the antenna performance as much as possible, and often requires handling several and often conflicting objectives, pertinent to both electrical and field properties...
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On deterministic procedures for low-cost multi-objective design optimization of miniaturized impedance matching transformers
PublicationPurpose This paper aims to investigate deterministic strategies for low-cost multi-objective design optimization of compact microwave structures, specifically, impedance matching transformers. The considered methods involve surrogate modeling techniques and variable-fidelity electromagnetic (EM) simulations. In contrary to majority of conventional approaches, they do not rely on population-based metaheuristics, which permit lowering...
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Expedited EM-Driven Design of Miniaturized Microwave Hybrid Couplers Using Surrogate-Based Optimization
PublicationMiniaturization of microwave hybrid couplers is important for contemporary wireless communication engineering. Using standard computer-aided design methods for development of compact structures is extremely challenging due to a general lack of computationally efficient and accurate simulation models. Poor accuracy of available equivalent circuits results from neglecting parasitic cross-couplings that greatly affect the performance...
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Optimization of Stabilizing Systems in Protection of Cultural Heritage: The Case of the Historical Retaining Wall in the Wisłoujście Fortress
PublicationThe aim of the paper is to propose new quantitative criteria for selecting the optimal method of securing and repairing a historical object, which take into account Structural, Conservation and Architectural aspects (the S–C–A method). Construction works on cultural heritage sites tend to be challenging and require an interdisciplinary approach. Therefore, they are strictly related to the philosophy of sustainable development which...
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Fast multi-objective optimization of antenna structures by means of data-driven surrogates and dimensionality reduction
PublicationDesign of contemporary antenna structures needs to account for several and often conflicting objectives. These are pertinent to both electrical and field properties of the antenna but also its geometry (e.g., footprint minimization). For practical reasons, especially to facilitate efficient optimization, single-objective formulations are most often employed, through either a priori preference articulation, objective aggregation,...
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Quasi-Global Optimization of Antenna Structures Using Principal Components and Affine Subspace-Spanned Surrogates
PublicationParametric optimization is a mandatory step in the design of contemporary antenna structures. Conceptual development can only provide rough initial designs that have to be further tuned, often extensively. Given the topological complexity of modern antennas, the design closure necessarily involves full-wave electromagnetic (EM) simulations and—in many cases—global search procedures. Both factors make antenna optimization a computationally...
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Energy consumption optimization in wastewater treatment plants: Machine learning for monitoring incineration of sewage sludge
PublicationBiomass management in terms of energy consumption optimization has become a recent challenge for developed countries. Nevertheless, the multiplicity of materials and operating parameters controlling energy consumption in wastewater treatment plants necessitates the need for sophisticated well-organized disciplines in order to minimize energy consumption and dissipation. Sewage sludge (SS) disposal management is the key stage of...
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Rapid Yield Optimization of Miniaturized Microwave Passives by Response Features and Variable-Fidelity EM Simulations
PublicationThe operation of high-frequency devices, including microwave passive components, can be impaired by fabrication tolerances but also incomplete knowledge concerning operating conditions (temperature, input power levels) and material parameters (e.g., substrate permittivity). Although the accuracy of manufacturing processes is always limited, the effects of parameter deviations can be accounted for in advance at the design phase...
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Low-cost multi-objective optimization of antennas using Pareto front exploration and response features
PublicationIn the paper, a procedure for low-cost multi-objective optimization of antenna structures is presented. Our approach is based on exploration of the Pareto front representing the best possible trade-offs between conflicting objectives, here, the structure size and its electrical performance. Starting from the design representing the best in-band reflection level, subsequent Pareto-optimal designs are identified through local constrained...
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Low-Cost Multi-Objective Optimization of Antennas By Means Of Generalized Pareto Ranking Bisection Algorithm
PublicationThis paper introduces a generalized Pareto ranking bisection algorithm for low-cost multi-objective design optimization of antenna structures. The algorithm allows for identifying a set of Pareto optimal sets of parameters (that represent the best trade-offs between considered objectives) by iterative partitioning of the intervals connecting previously found designs and executing a Pareto-ranking-based poll search. The initial...
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Optimization of FFF Process Parameters by Naked Mole-Rat Algorithms with Enhanced Exploration and Exploitation Capabilities
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Experimental investigations and optimization of MWCNTs-mixed WEDM process parameters of nitinol shape memory alloy
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Optimization of the Relative Humidity of Reactant Gases in Hydrogen Fuel Cells Using Dynamic Impedance Measurements
PublicationWater management is a key factor affecting the efficiency of proton exchange membrane fuel cells (PEMFCs). The currently used monitoring methods of PEMFCs provide limited information about which processes or components that humidity has a significant impact upon. Herein, we propose the use of a novel approach of impedance measurements using a multi-sinusoidal perturbation signal, which enables impedance measurements under dynamic...
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Constrained multi-objective optimization of compact microwave circuits by design triangulation and pareto front interpolation
PublicationDevelopment of microwave components is an inherently multi-objective task. This is especially pertinent to the design closure stage, i.e., final adjustment of geometry and/or material parameters carried out to improve the electrical performance of the system. The design goals are often conflicting so that the improvement of one normally leads to a degradation of others. Compact microwave passives constitute a representative case:...
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Multi-objective optimization of the cavitation generation unit structure of an advanced rotational hydrodynamic cavitation reactor
PublicationHydrodynamic cavitation (HC) has been widely considered a promising technique for industrial-scale process intensifications. The effectiveness of HC is determined by the performance of hydrodynamic cavitation reactors (HCRs). The advanced rotational HCRs (ARHCRs) proposed recently have shown superior performance in various applications, while the research on the structural optimization is still absent. The present study, for the...
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Explicit Size-Reduction of Circularly Polarized Antennas through Constrained Optimization with Penalty Factor Adjustment
PublicationModern communication systems of high data capacity incorporate circular polarization (CP) as the preferred antenna radiation field configuration. In many applications, integration of the system circuitry with antennas imposes size limitations on CP radiators, which makes their development process a challenging endeavor. This can be mitigated by means of simulation-driven design, specifically, constrained numerical optimization....
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Aerodynamic shape optimization by variable-fidelity computational fluid dynamics models: a review of recent progress
PublicationA brief review of some recent variable-fidelity aerodynamic shape optimization methods is presented.We discuss three techniques that—by exploiting information embedded in low-fidelity computationalfluid dynamics (CFD) models—are able to yield a satisfactory design at a low computational cost, usu-ally corresponding to a few evaluations of the original, high-fidelity CFD model to be optimized. Thespecific techniques considered here...
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Design Space Reduction for Expedited Multi-Objective Design Optimization of Antennas in Highly-Dimensional Spaces
PublicationA surrogate-based technique for efficient multi-objective antenna optimization is discussed. Our approach exploits response surface approximation (RSA) model constructed from low-fidelity antenna model data (here, obtained through coarse-discretization electromagnetic simulations). The RSA model enables fast determination of the best available trade-offs between conflicting design goals. The cost of RSA model construction for multi-parameter...
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Low-cost EM-Simulation-based Multi-objective Design Optimization of Miniaturized Microwave Structures
PublicationIn this work, a simple yet reliable technique for fast multi-objective design optimization of miniaturized microwave structures is discussed. The proposed methodology is based on point-by-point identification of a Pareto-optimal set of designs representing the best possible trade-offs between conflicting objectives such as electrical performance parameters as well as the size of the structure of interest. For the sake of computational...
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Dynamic Data Management Among Multiple Databases for Optimization of Parallel Computations in Heterogeneous HPC Systems
PublicationRapid 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...