874 research outputs found
feiyuno1987/MPS-Training-Image-Selection-based-on-CNN v1.1.0
No full textTraing image Selection with CNN (基于CNN选择合适的MPS训练图像)
This procedure can achieve TI selected precision test, the output file is output.log. By default, there are 4 examples of data. If you need to do custom testing, please modify the example section of the code in the TI_Selection.cs file.
Author : Siyu YU([email protected]) Date : 2021.1In this new version, all of the code for the project has been converted to.NET Cor
The MPS-Based Fracture Network Simulation Method: Application to Subsurface Domain
No full textNatural fractures conduct fluids in subsurface reservoirs. Quick and realistic predictions of the fracture network organization and its fluid flow efficiency from limited amount of data is critical to optimize resources productivity. We recently developed a method based on multiple point statistics (MPS) technique to produce geologically-constrained fracture network simulations. The method allows to account for the intrinsic non-stationarity of these networks by considering a multivariate input data instead of averaged distribution of fracture parameters. In addition, the method considers probability maps reflecting the influence of fracture drivers in the network variability. Consequently, the simulated fracture networks derived from the innovative MPS approach are geologically better constrained than in classical discrete fracture network modelling approaches. This paper proposes to apply this method in subsurface conditions where available data are sparsely distributed. We developed a workflow where data are gathered from wellbore and from additional sources (outcrops). These data are used to extrapolate a network around the borehole as training images and themselves are extrapolated at the reservoir scale following a geological probability map.This work also presents innovations on the way how training images and probability maps that may integrate more geology constrain than relying almost entirely on available data.Accepted Author ManuscriptApplied Geolog
Lessons learned from developing mbeddr: a case study in language engineering with MPS
No full textLanguage workbenches are touted as a promising technology to engineer languages for use in a wide range of domains, from programming to science to business. However, not many real-world case studies exist that evaluate the suitability of language workbench technology for this task. This paper contains such a case study. In particular, we evaluate the development of mbeddr, a collection of integrated languages and language extensions built with the Jetbrains MPS language workbench. mbeddr consists of 81 languages, with their IDE support, 34 of them C extensions. The mbeddr languages use a wide variety of notations---textual, tabular, symbolic and graphical---and the C extensions are modular; new extensions can be added without changing the existing implementation of C. mbeddr's development has spanned 10 person-years so far, and the tool is used in practice and continues to be developed. This makes mbeddr a meaningful case study of non-trivial size and complexity. The evaluation is centered around five research questions: language modularity, notational freedom and projectional editing, mechanisms for managing complexity, performance and scalability issues and the consequences for the development process. We draw generally positive conclusions; language engineering with MPS is ready for real-world use. However, we also identify a number of areas for improvement in the state of the art in language engineering in general, and in MPS in particular.Programming LanguagesSoftware Technolog
Uncertainty in centrifuge test of slope failure and its simulation by MPS method
No full textWe sometimes encounter a case in which very small change of computation or experiment condition causes the significant difference in response when strong nonlinearity is involved. Slope failure simulation due to gravity by MPS method is performed to examine feature of uncertainty. The simulation results show that the output uncertainty is proportional to input uncertainty in weak nonlinear or linear behavior. In strong nonlinear behavior, the output uncertainty is constant irrespective of uncertainty level of input data when the input uncertainty is less than certain level. The range of the constant uncertainty depends on the strength of nonlinearity in the phenomenon. Comparison of uncertainties in centrifuge slope failure test and its simulation by MPS method is shown and discussed
Pharmacist's approach to complementary and alternative medicine in cancer treatment - how to make informed decision
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Sukcesy wyborcze Fidesz-MPS i ich wpływ na konsolidację prawicowych rządów na Węgrzech
No full textThe article presents the phenomenon of the birth, development and contemporary
position of Fidesz-MPS on Hungarian political scene. Author aims at explaining
the role of social support for the main rightist party in Hungary in the struggle
for power and then its consolidation and retaining. Although there is criticism
abroad and inside Hungary towards steps taken by Viktor Orbán, elections confirm
the leading role of Fidesz-MPS and high electoral support
The Impact of Automatic Tablet Dispensing and Packaging System (ATDPS) in a Rehabilitation Complex - Preliminary results
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