Search results for "python"

Analizatoru sadarbes starpprogrammatūras pārstrukturēšana

2015

Darba ietvaros tiek pārstrukturēta servera programmatūra, kas apkalpo vairākus analizatoru pieslēgumus. Apvienota lietojumprogramma, kura uztur visus pieslēgumus viena operētājsistēmas procesa ietvaros, tiek pārveidota, lai darbinātu katru pieslēgumu atsevišķā operētājsistēmas procesā. Rezultātā visi analizatoru pieslēgumi darbojas atsevišķi cits no cita. Tāds risinājums paaugstina sistēmas darbības stabilitāti.

Visualization of Memory Map Information in Embedded System Design

2018

Data compression is a common requirement for displaying large amounts of information. The goal is to reduce visual clutter. The approach given in this paper uses an analysis of a data set to construct a visual representation. The visualization is compressed using the address ranges of the memory structure. This method produces a compressed version of the initial visualization, retaining the same information as the original. The presented method has been implemented as a Memory Designer tool for ASIC, FPGA and embedded systems using IP-XACT. The Memory Designer is a user-friendly tool for model based embedded system design, providing access and adjustment of the memory layout from a single v…

Comparing DNA sequence collections by direct comparison of compressed text indexes

2012

Popular sequence alignment tools such as BWA convert a reference genome to an indexing data structure based on the Burrows-Wheeler Transform (BWT), from which matches to individual query sequences can be rapidly determined. However the utility of also indexing the query sequences themselves remains relatively unexplored. Here we show that an all-against-all comparison of two sequence collections can be computed from the BWT of each collection with the BWTs held entirely in external memory, i.e. on disk and not in RAM. As an application of this technique, we show that BWTs of transcriptomic and genomic reads can be compared to obtain reference-free predictions of splice junctions that have h…

Combining OWL Ontologies Using -Connections

2006

The standardization of the Web Ontology Language, OWL, leaves (at least) two crucial issues for Web-based ontologies unsatisfactorily resolved, namely how to represent and reason with multiple distinct, but linked ontologies, and how to enable effective knowledge reuse and sharing on the Semantic Web. In this paper, we present a solution for these fundamental problems based on ℇ-Connections. We aim to use ℇ-Connections to provide modelers with suitable means for developing Web ontologies in a modular way and to provide an alternative to the owl:imports construct. With such motivation, we present in this paper a syntactic and semantic extension of the Web Ontology language that covers ℇ-Conn…

A novel approach to integration by parts reduction

2015

Integration by parts reduction is a standard component of most modern multi-loop calculations in quantum field theory. We present a novel strategy constructed to overcome the limitations of currently available reduction programs based on Laporta's algorithm. The key idea is to construct algebraic identities from numerical samples obtained from reductions over finite fields. We expect the method to be highly amenable to parallelization, show a low memory footprint during the reduction step, and allow for significantly better run-times.

NESSie.jl – Efficient and intuitive finite element and boundary element methods for nonlocal protein electrostatics in the Julia language

2018

Abstract The development of scientific software can be generally characterized by an initial phase of rapid prototyping and the subsequent transition to computationally efficient production code. Unfortunately, most programming languages are not well-suited for both tasks at the same time, commonly resulting in a considerable extension of the development time. The cross-platform and open-source Julia language aims at closing the gap between prototype and production code by providing a usability comparable to Python or MATLAB alongside high-performance capabilities known from C and C++ in a single programming language. In this paper, we present efficient protein electrostatics computations a…

PRACTICAL APPROACH FOR HYPERSPECTRAL IMAGE PROCESSING IN PYTHON

2018

Abstract. Python is a very popular programming language among data scientists around the world. Python can also be used in hyperspectral data analysis. There are some toolboxes designed for spectral imaging, such as Spectral Python and HyperSpy, but there is a need for analysis pipeline, which is easy to use and agile for different solutions. We propose a Python pipeline which is built on packages xarray, Holoviews and scikit-learn. We have developed some of own tools, MaskAccessor, VisualisorAccessor and a spectral index library. They also fulfill our goal of easy and agile data processing. In this paper we will present our processing pipeline and demonstrate it in practice.

A Uniform Way to Control Chief Series in Finite p -Groups and to Construct the Countable Algebraically Closed Locally Finite p -Groups

1986

Algoritmi krustvārdu mīklu veidošanai

2020

Darba mērķis ir izpētīt, kādi algoritmi spēj izveidot krustvārdu mīklas, un salīdzināt iegūtos rezultātus pēc dažādiem kritērijiem. Krustvārdu mīklu izveidei tiek padoti vārdi ar definīcijām un tiek veidots jauns režģis no padotajiem vārdiem. Tiks salīdzināti dažādi algoritmi pēc kritērijiem, kā piemēram, cik kompakta ir izveidotā krustvārdu mīkla, cik daudz krustpunktu ir izveidoti starp vārdiem, kāda ir malu proporcija u.tml. Darbā iegūtie algoritmi, kas tiks programmēti programmēšanas valodā Python, varētu veidot krustvārdu mīklas, lai cilvēkiem tas nebūtu jādara pašiem manuāli, kā arī tas ietaupītu cilvēku laiku.

OPETH: Open Source Solution for Real-Time Peri-Event Time Histogram Based on Open Ephys

2019

Single cell electrophysiology remains one of the most widely used approaches of systems neuroscience. Decisions made by the experimenter during electrophysiology recording largely determine recording quality, duration of the project and value of the collected data. Therefore, online feedback aiding these decisions can lower monetary and time investment, and substantially speed up projects as well as allow novel studies otherwise not possible due to prohibitively low throughput. Real-time feedback is especially important in studies that involve optogenetic cell type identification by enabling a systematic search for neurons of interest. However, such tools are scarce and limited to costly co…