Automated Logical-Probabilistic Methodology and Software Tool as Component of the Complex of Methodologies and Software Tools for Evaluation of Reliability and Survivability of Onboard Equipment of Small Satellites

Author(s):  
Vadim Skobtsov ◽  
Natalia Lapitskaja ◽  
Roman Saksonov ◽  
Semyon Potryasaev
Doklady BGUIR ◽  
2022 ◽  
Vol 19 (8) ◽  
pp. 72-80
Author(s):  
V. Yu. Skobtsov ◽  
N. V. Lapitskaya

The paper presents solutions for estimation and analysis of complex system (CS) reliability and survivability indicators based on the logical-probabilistic approach. Modified logical-probabilistic method and software tool for evaluating the reliability and survivability of onboard equipment (OE) of small satellites were developed (SS). The correctness of the suggested method and software tool was shown by computational experiments on some systems of CS SS similar to Belarusian SS, and later compared with the “Arbitr” software complex results.


2016 ◽  
Vol 106 (07-08) ◽  
pp. 544-549
Author(s):  
V. K. Bellmann ◽  
P. Prof. Nyhuis

Zur Erhaltung ihrer Wettbewerbsfähigkeit setzen Unternehmen sowohl prozessverbessernde als auch kompetenzsteigernde Methoden ein. Jedoch erschwert die Vielzahl an Methoden eine anwendungsspezifische Auswahl. Somit wird ein Software-Tool benötigt, das neben den individuellen Zielstellungen auch die Voraussetzungen für eine erfolgreiche Umsetzung der Methoden berücksichtigt. Dieser Fachbeitrag beschreibt die Entwicklung eines Software-Tools zur zielgerichteten Entscheidungsunterstützung.   Companies apply process-improving and competence-increasing methods to maintain their competitiveness. However the huge amount of existing methods impedes an application-oriented selection. Thus a software tool is needed which considers individual objectives as well as requirements for a successful application of the methods. This paper describes the development of a software tool for a target-oriented decision support.


2018 ◽  
Vol 13 (1) ◽  
pp. 44-61 ◽  
Author(s):  
Lorraine Lee ◽  
William Kerler ◽  
Daniel Ivancevich

The ability to use various software and tools is important for students entering the accounting profession. In an exploratory study, we develop a survey to assess accounting practitioners' evaluations of the importance of various software tools, as well as the importance of data analytics and data visualization skills. Responses from 197 practitioners indicate that Excel is the most frequently utilized software / tool, the most important software tool for new hires, and that Excel should be emphasized in university accounting programs. We find that the importance of Excel is consistent across different accounting areas (audit, tax, advisory, and corporate) and across all experience levels. In addition, Adobe Acrobat, PowerPoint, accounting / ERP software, and the FASB Codification were identified as frequently utilized across the various accounting areas and experience levels. Finally, practitioners in each of the different accounting areas and at all experience levels indicate data analytic skills and data visualization skills are important, but that data analytic skills are perceived as more important than data visualization skills. Our study contributes to the accounting information systems literature by identifying the specific software and tools that are relevant to the profession and provides guidance on the software and tools that should be emphasized in university accounting programs.


2021 ◽  
Author(s):  
Weiqian Cao ◽  
Siyuan Kong ◽  
Wenfeng Zeng ◽  
Pengyun Gong ◽  
Biyun Jiang ◽  
...  

Interpreting large-scale glycoproteomic data for intact glycopeptide identification has been tremendously advanced by software tools. However, software tools for quantitative analysis of intact glycopeptides remain lagging behind, which greatly hinders exploring the differential expression and functions of site-specific glycosylation in organisms. Here, we report pGlycoQuant, a generic software tool for accurate and convenient quantitative intact glycopeptide analysis, supporting both primary and tandem mass spectrometry quantitation for multiple quantitative strategies. pGlycoQuant enables intact glycopeptide quantitation with very low missing values via a deep residual network, thus greatly expanding the quantitative function of several powerful search engines, currently including pGlyco 2.0, pGlyco3, Byonic and MSFragger-Glyco. The pGlycoQuant-based site-specific N-glycoproteomic study conducted here quantifies 6435 intact N-glycopeptides in three hepatocellular carcinoma cell lines with different metastatic potentials and, together with in vitro molecular biology experiments, illustrates core fucosylation at site 979 of the L1 cell adhesion molecule (L1CAM) as a potential regulator of HCC metastasis. pGlycoQuant is freely available at https://github.com/expellir-arma/pGlycoQuant/releases/. We have demonstrated pGlycoQuant to be a powerful tool for the quantitative analysis of site-specific glycosylation and the exploration of potential glycosylation-related biomarker candidates, and we expect further applications in glycoproteomic studies.


Author(s):  
Helena Hashemi Farzaneh ◽  
Lorenz Neuner

AbstractMuch of the work in design research focusses on the development of methods and tools to support engineering designers. Many of these tools are nowadays implemented in software. Due to the strongly growing use of computers and smart devices in the last two decades, the expectations of users increased dramatically. In particular users expect good usability, for example little effort for learning to apply the software. Therefore, the usability evaluation of design software tools is crucial. A software tool with bad usability will not be used in industrial practice. Recommendations for usability evaluation of software often stem from the field of Human Computer Interaction. The aim of this paper is to tailor these general approaches to the specific needs of engineering design. In addition, we propose a method to analyse the results of the evaluation and to derive suggestions for improving the design software tool. We apply the usability evaluation method on a use case - the KoMBi software tool for bio-inspired design. The case study provides additional insights with regards to problem, causes and improvement categories.


Author(s):  
Tigran Parikyan ◽  
Nikola Naranca ◽  
Jochen Neher

For efficient modeling of engine (or powertrain) supported by non-linear elastic mounts, a special methodology has been elaborated. Based on it, software tool has been developed to analyze the motion of rigid body and elastic mounts, which comprises of three modules: • Non-linear static analysis; • Modal analysis (undamped and damped); • Forced response (in frequency domain). Application example of a large V12 marine engine illustrates the suggested workflow. The results are verified against other software tools and validated by measurements.


2021 ◽  
Author(s):  
Oliver Schwengers ◽  
Lukas Jelonek ◽  
Marius Dieckmann ◽  
Sebastian Beyvers ◽  
Jochen Blom ◽  
...  

AbstractCommand line annotation software tools have continuously gained popularity compared to centralized online services due to the worldwide increase of sequenced bacterial genomes. However, results of existing command line software pipelines heavily depend on taxon specific databases or sufficiently well annotated reference genomes. Here, we introduce Bakta, a new command line software tool for the robust, taxon-independent, thorough and nonetheless fast annotation of bacterial genomes. Bakta conducts a comprehensive annotation workflow including the detection of small proteins taking into account replicon metadata. The annotation of coding sequences is accelerated via an alignment-free sequence identification approach that in addition facilitates the precise assignment of public database cross references. Annotation results are exported in GFF3 and INSDC-compliant flat files as well as comprehensive JSON files facilitating automated downstream analysis. We compared Bakta to other rapid contemporary command line annotation software tools in both targeted and taxonomically broad benchmarks including isolates and metagenomic-assembled genomes. We demonstrated that Bakta outperforms other tools in terms of functional annotations, the assignment of functional categories and database cross-references whilst providing comparable wall clock runtimes. Bakta is implemented in Python 3 and runs on MacOS and Linux systems. It is freely available under a GPLv3 license at https://github.com/oschwengers/bakta. An accompanying web version is available at https://bakta.computational.bio.


2012 ◽  
Author(s):  
Abdullah Mohd Zin ◽  
Saadiyah Darus ◽  
Norhayati Mat Kassim

Kertas ini membincangkan satu pendekatan bagi membangunkan satu peralatan pemarkahan esei secara automatik. Peralatan pemarkahan ini telah diimplementasi dan diintegrasikan ke dalam CMS (Coursework Management System), satu sistem pengurusan kerja kursus yang telah dibangunkan di Universiti Kebangsaan Malaysia. Kertas ini dimulakan dengan membincangkan kaedah pemarkahan esei yang biasa digunakan oleh pensyarah dan sistem pemarkahan esei secara automatik yang sedia ada, diikuti dengan perbincangan tentang reka bentuk dan implementasi peralatan pemarkahan ini. Kertas ini menunjukkan bahawa satu pendekatan mudah bagi membangunkan peralatan pemarkahan ialah dengan menggunakan peralatan perisian sedia ada, misalnya peralatan perisian yang disediakan oleh Microsoft Word. Namun begitu, disebabkan peralatan perisian yang disediakan oleh Microsoft Word hanya menyokong Bahasa Inggeris, hanya esei dalam Bahasa Inggeris sahaja yang dapat dimarkahkan oleh peralatan pemarkahan ini. Kata kunci: Pemarkahan esei, sistem pengurusan tugasan, peralatan perisian, peralatan pemarkahan, penilaian pembelajaran This paper discusses an approach of developing a computer-based essay-marking tool. The marking tool has been implemented and integrated into CMS (Coursework Management System), a coursework management system that has been developed at Universiti Kebangsaan Malaysia. The paper will first discuss methods that lecturers normally used in marking essays and available automated essay marking systems, followed by a discussion on the design and implementation of the marking tool. This paper shows that a simple possible approach in developing a marking tool is by using available software tools, such as software tools that are provided by Microsoft Word. However, since software tools provided by Microsoft Word can only support the English language, this marking tools can only mark essays that are written in English. Key words: Essay marking, coursework management system, software tool, marking tool, learning assessment


Author(s):  
Roberto Ramirez Solis ◽  
Arturo Godoy Simon ◽  
Jose Luis Martinez Gonzalez ◽  
W. Kent Muhlbauer ◽  
Angel Alva Lugo

Pipeline risk assessment has been a major concern for Mexico’s Oil Sate Company (PEMEX) for the last couple of decades. During this period of time, isolated efforts from the different subsidiary bodies (upstream, midstream, and downstream) have been made regarding this matter, including the implementation of powerful software tools. However, due to several factors, none of these has provided an optimum solution for the company until now as they do not serve specific needs from PEMEX according to the country’s social and geographical environments. Besides that, a different software tool has been used by each subsidiary body, generating variations in practice and dissimilar criteria when assessing risk. A project sponsored by the Ministry of Energy in Mexico and the National Council of Science and Technology seeks to address these issues by developing a unique and customized software solution for pipeline risk assessment in PEMEX. This paper presents the progress made so far regarding the development of this tool.


2020 ◽  
pp. 103-114
Author(s):  
А.Yu. Doroshenko ◽  
◽  
O.G. Beketov ◽  
M.M. Bondarenko ◽  
О.А. Yatsenko ◽  
...  

Methods and software tools for automated design and generation of OpenCL programs based on the algebra of algorithms are proposed. OpenCL is a framework for developing parallel software that executes across heterogeneous platforms consisting of general-purpose processors and/or hardware accelerators. The proposed approach consists in using high-level algebra-algorithmic specifications of programs represented in natural linguistic form and rewriting rules. The developed software tools provide the automated design of algorithm schemes based on a superposition of Glushkov algebra constructs that are considered as reusable components. The tools automatically generate code in a target programming language on the basis of the specifications. In most computing problems, a large part of hardware resources is utilized by computations inside loops, therefore the use of automatic parallelization of cyclic operators is most efficient for them. However, the existing automatic code parallelizing tools, such as Par4All, don’t account the limited amount of accelerator’s onboard memory space while real-life problems demand huge amounts of data to be processed. Thus, there is a need for the development of a parallelization technique embracing the cases of massive computational tasks involving big data. In the paper, a method and a software tool for semi-automatic parallelization of cyclic operators based on loop tiling and data serialization are developed. The parallelization technique uses rewriting rules system to transform programs. The framework for parallelization of loops for optimization of computations using graphics processing units allows semi-automatic parallelization of sequential programs. The approach is illustrated on an example of developing a parallel OpenCL image convolution program.


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