474 research outputs found
The system of arbitration in the U.A.E. : problems and prospects.
No full textSIGLEAvailable from British Library Document Supply Centre- DSC:D174123 / BLDSC - British Library Document Supply CentreGBUnited Kingdo
On a Dirichlet problem for composite type equation
No full textО.С. Зикиров, Национальный университет Узбекистана, Ташкент, Узбекистан
E-mail: [email protected]. O.S. Zikirov,
National University of Uzbekistan, Tashkent, Uzbekistan
E-mail: [email protected]Исследуется краевая задача для класса уравнений третьего порядка составного типа с эллиптическим оператором в главной части. Доказаны теоремы существования и единственности классического решения для рассматриваемых задач. Доказательство основано на энергетических неравенствах и на теории интегральных уравнений фредгольмовского типа. The aim of this paper is to prove the existence and uniqueness of smooth solutions to the Dirichlet
type problem for one class of third-order equations that do not belong to any of the classic types. One of
the main classes of non-classical equations is third-order composite type equations, the operator of
which is a composition of first-order hyperbolic operator and an elliptic operator in the main part. A
number of boundary value problems for the model composite type equations with the Laplace operator
were investigated by T.D. Dzhuraev. Many studies have proved the existence of solutions to boundary
value problems upon fulfillment of conditions of the convexity of area boundary. The method of proof
used in this paper is similar to the method used in the research paper of the author mentioned above. For
the research of composite type linear equations a combination of the method of potentials (Green's function)
and integral identities is applied. The research method is based on reducing the studied problem
with the help of the Green's function to an integral equation, the proof of its solubility and thus - the
proof of the solvability of original problem.
Upon fulfillment of certain conditions on given functions, a third-order equation reduces to a
second-order equation of elliptic type with an unknown right-hand side and the boundary function. With
the help of Green's functions for elliptic equations, the studied problem is reduced to a second-order
equivalent integral equation, the solvability follows from Fredholm alternative and the theorem of uniqueness
of the solution of the original problem
K-loops: Loop Transformations for Reconfigurable Architectures
No full textThe focus of this dissertation is on kernel loops (K-loops), which are loop nests that contain hardware mapped kernels in the loop body. In this thesis, we propose methods for improving the performance of such K-loops, by using standard loop transformations for exposing and exploiting the coarse grain loop level parallelism. We target a reconfigurable architecture that is a heterogeneous system consisting of a general purpose processor and a field programmable gate array (FPGA). Research projects targeting reconfigurable architectures are trying to give answers to several problems: how to partition the application -- decide which parts to be accelerated on the FPGA, how to optimize these parts (the kernels), what is the performance gain. However, only few try to exploit the coarse grain loop level parallelism. This work goes towards automatically deciding the number of kernel instances to place into the reconfigurable hardware, in a flexible way that can balance between area and performance. In this dissertation, we propose a general framework that helps determine the optimal degree of parallelism for each hardware mapped kernel within a K-loop, taking into account area, memory size and bandwidth, and performance considerations. In the future it can also take into account power. Furthermore, we present algorithms and mathematical models for several loop transformations in the context of K-loops. The algorithms are used to determine the best degree of parallelism for a given K-loop, while the mathematical models are used to determine the corresponding performance improvement. The algorithms are validated with experimental results. The loop transformations that we analyze in this thesis are loop unrolling, loop shifting, K-pipelining, loop distribution, and loop skewing. An algorithm that decides which transformations to use for a given K-loop is also provided. Finally, we also present an analysis of possible situations and justifications of when and why the loop transformations have or have not a significant impact on the K-loop performance.Microelectronics & Computer EngineeringElectrical Engineering, Mathematics and Computer Scienc
Facility Management van de Universiteit van Suriname
No full textVoor de Universiteit van Suriname moest een informatiesysteem opgezet worden om de faciliteiten aldaar te beheren. Hiervoor is gekeken naar de huidige manier van werken en de beschikbare technologieën, waarna het systeem ontworpen en geïmplementeerd is. Hierbij is de nadruk gelegd op de onderhoudbaarheid en mogelijkheid tot verdere ontwikkeling van dit systeem.Software TechnologyElectrical Engineering, Mathematics and Computer Scienc
Investment function of economic growth in Russia
No full textThe intensification of investment dynamics is a determining factor in the new growth model of the Russian economy. The Covid crisis has greatly limited the opportunities to use this factor and made restoring growth dynamics an urgent task. The aim of the study is to determine the investment function of the Russian economy before the Covid crisis in order to identify the main instruments of the investment policy of growth in the post-crisis period. The research methods are macroeconomic and regression analysis based on software Gretl 2020b, which helped to choose the investment function according to the instrument-factors. Solving the problem of collinearity of multiple regression factors makes it possible to select the best models for GDP and investment in fixed assets of the Russian economy. The research result is selected multivariate models of gross product and investment that allow considering the impact of the following instruments on the goal’s function: monetization level, key interest rate, exchange rate, risk, profitability, oil prices, financial investments, inflation. The author concludes that an increase in the monetization of the economy, a decrease in the key interest rate, and a controlled devaluation generally had a positive effect on the amount of investment in fixed assets. The investment growth increased the risk of economic activity; the decrease in profitability relatively decreased investment and increased Russia’s GDP with an increased risk over the considered time interval. When implementing investment policy, one should consider these features along with the specified macro-aggregates, the structure of investment distribution between sectors and types of investments, for example, in financial and non-financial assets. The paper shows the significance of this condition, which affects the effectiveness of the investment policy, when the shift in investment towards financial assets accompanies the slowdown in economic growth. The prospect of further research is an assessment of the equalization of sectoral risks affecting the distribution of investments and investment dynamics. © Sukharev O.S., 202
Humans Disagree With the IoU for Measuring Object Detector Localization Error
No full textThe localization quality of automatic object detectors is typically evaluated by the Intersection over Union (IoU) score. In this work, we show that humans have a different view on localization quality. To evaluate this, we conduct a survey with more than 70 participants. Results show that for localization errors with the exact same IoU score, humans might not consider that these errors are equal, and express a preference. Our work is the first to evaluate IoU with humans and makes it clear that relying on IoU scores alone to evaluate localization errors might not be sufficient.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Pattern Recognition and BioinformaticsWeb Information System
Analysis of Czech and international non-governmental non-profit organizations
No full textThe goal of this thesis was to compare Czech and Spanish non-governmental non-profit organizations and analyze common and diverse characteristics using international comparison in several areas. As a representative of the Czech non-profit sector was chosen ADRA, o.s. Spanish nonprofit sector was represented by the organization Manos Unidas. Findings revealed differences in investigated areas. However, founded differences were not so significant to identify one of the non-governmental non-profit organizations as a significantly better one. Nevertheless the author recommended transferring some of the best practices of Manos Unidas to ADRA, o.s
Benchmarking Performance of Offshore Construction Projects
No full textSince the rise of oil prices in 2007, the difference in gas prices between the US and Europe has increased steadily. The pressure to efficiently produce and maintain gas assets has thus also increased. On top of these external trends, ONEgas strives to be in the top quartile companies in the gas market. The integrated contractor of ONEgas, AJS, is stimulated to continuously improve their performance. Currently projects are evaluated separately on changing aspects. A comparison of projects based on their performance assessment is thus not reliable. This research proposes a benchmark tool for AJS to compare and signal performance. The corresponding analysis provides arguments in discussions around the performance of AJS. It was found that performance can be monitored by using the Project Management Triangle and controlled by acting on the comparison of the different projects with regard to the size of a project. The Project Management Triangle consists of Cost, Schedule, Scope and Quality as universal performance indicators. It is used to ensure comparability among projects in the Benchmark. The provided method for the selection of appropriate data can be used for the creation of a benchmark of other (unrelated) projects. The AJS benchmark is created in such a way that time, effort and required knowledge are reduced to a minimum. The required data is however only available after the project has completely been finished. It is therefore advised to incorporate the benchmark as one of the very last actions in the close out process. When monitoring and acting on the measured and compared performance it is important to keep the seven paradoxes in mind. When these are disregarded the action may very well have the opposite effect. It is thus advised to only use the benchmark as a signaling tool and have a separate study on how to improve a specific situation.SEPAMPOLGTechnology, Policy and Managemen
Effect of Reservoir Heterogeneity on Immiscible Foam Enhanced Oil Recovery
No full textGas flooding is a widely used improved and enhanced oil recovery (IOR/EOR) method. However, due to low density and high mobility of gas compared to oil and water, gas tends to segregate to the top of the reservoir and overrides both oil and water. In heterogeneous and layered reservoirs gas also tends to channel through high permeability streaks. Hence in gas flooding the sweep efficiency is generally poor which leads to low incremental oil recovery factor. The development of foam leads to lowering the gas mobility and thus can help overcome the above disadvantages and improve the reservoir sweep efficiency. Many experimental and modeling studies have been devoted to describe foam in the last decade, but questions remain about foam performance in EOR. In particular there are still some important questions regarding foam stability and propagation in reservoirs containing oil and the effect of reservoir heterogeneity. Recent experiments done at the Delft University of Technology have demonstrated that adequately selected surfactants produce foams that are stable in presence of oil. However, if oil saturation is too large there is still a risk that foam will not be sufficiently strong to achieve the desired high recovery factor. In this study we investigate the effect reservoir heterogeneity on the performance of immiscible foam EOR. The study addresses four different types of reservoir models, homogeneous reservoir, stochastic permeability reservoir, layered reservoir and layered stochastic reservoir. We adopt six different recovery methods starting with water flooding and NFA as a base case, surfactant flooding, gas flooding, foam co-injection, SAG processes and WAG processes. The simulation results show that foam co-injection has the best sweep efficiency and highest oil recovery. Foam front propagation rate is found to be lower in heterogeneous reservoirs compare with homogenous case and therefore more injection time is needed to reach the same recovery as in the homogeneous case. In all the injection scenarios, the oil recovery in heterogeneous reservoirs is lower.Petroleum Engineering and GeosciencesCivil Engineering and Geoscience
Locality in space and time for data-efficient visual recognition
No full textSpatial localization in time is vital for humans. Therefore we desire that computer vision algorithms are also able to spatially and temporally localize objects and actions. These algorithms generally learn from given data and discover patterns, parts, motions, and their locations by exploiting inductive biases that are essential for learning. However, localization is complex, error-prone and hard to inspect. In this thesis, we investigate location biases and how CNNs explore and exploit location and temporal information in the image and video domain. An interesting finding of the thesis is that heuristics about what is outside the image (border handling) enables CNNs to exploit absolute spatial location and break translation equivariance. The thesis proposes a simple solution to eliminate the spatial location biases. The proposed solution improves translation equivariance and provides data efficiency and robustness. Furthermore, the thesis investigates object and part locations on images. First, the thesis studies object-context relationships of modern object detectors and reveals insights about helpful location biases. In addition, the effect of unhelpful location biases is investigated for a visual verification task. These analyses show that object detectors can hallucinate the location of an object with high confidence score even if the object is not in the image. Based on these insights, the thesis provides suggestions for researchers on how to choose an object detector for their specific tasks. Another interesting finding of this thesis shows limitations of data augmentation techniques to resolve robustness issues of pose estimation methods when dealing with occlusions. Even if data augmentation alleviates some problems caused by sampling biases, it can only yield limited improvement and the performance saturates after applying a stack of augmentations. Finally, the thesis investigates temporal location information and demonstrates spatio-temporal location biases in video data. A time-efficient video labeling solution that uses latent space feature similarity is proposed to annotate long-untrimmed videos. Besides, using only keyframe labels with Positive-Unlabeled learning achieves highquality action proposals that can be utilized with many temporal action localization methods. The proposed method can provide data and label efficiency. Taken together, this thesis investigates how CNNs use location information and introduce location biases that can result in positive as well as negative outcomes on various computer vision tasks.Pattern Recognition and Bioinformatic
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