Integration of MatLab and R with high-level languages using C# and Microsoft Visual Studio as an example

Abstract The paper discusses the technology of integration (providing a single interface of interaction) of different software systems working in a single environment. The levels of integration are indicated, the composition of subtasks (subsystems), which can be solved efficiently using various computing environments, are highlighted. The expediency of joint use of MatLab and R systems with high-level programming languages C ++ and C # is shown due to the limited or lack of tools for creating a convenient graphical user interface for mathematical systems, as well as the weak adaptability of programming languages for mathematical or statistical data processing and solving modeling problems. The aim of the article is to justify the most appropriate technology for integrating MatLab and R with highlevel programming languages to ensure high interaction efficiency and a user-friendly interface for complex mathematical or statistical data processing problems. The analysis of the possibilities and ways of solving the organization of interaction of MatLab and R systems with high-level languages carried out on the example of C # and the Microsoft Visual Studio environment. The possibilities of interaction of the R system and the MatLab system with highlevel programming languages, respectively, are considered. An example of software implementation of the integration of R and MatLab with a C# application is given. The capabilities of the developed program as a whole and the functionality of each of the subsystems used (R, MatLab and applications in C #) are indicated. The most preferable variant of integration of the considered systems - with the use of .NetFramework platform - is singled out. The advantages of using the Common Language Runtime for the implementation of the considered option of integrating R, MatLab and C # applications are noted.

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Analysis of Geophysical Data in the Development of Complex Jurassic Objects Fields in Western Siberia (Methodology and Application)

Oil and Gas technologies ◽

10.32935/1815-2600-2020-131-6-17-23 ◽

2020 ◽

Vol 131 (6) ◽

pp. 17-23

Author(s):

O. V. Tyukavkina ◽

◽

V. L. Shuster ◽

Keyword(s):

Data Processing ◽

Western Siberia ◽

Oil And Gas ◽

Statistical Data ◽

Geophysical Data ◽

Software Systems ◽

Integrated Analysis ◽

The West ◽

Statistical Data Processing ◽

Gis Software

This paper discusses the issues of technological regulation and the methodology of research of complex reservoirs with hard-to-recover reserves on the example of fields in the West Siberian oil and gas province. The integrated analysis was based on a certain sequence that allows you to systematize and structure the data that was later added to the database of Petrel, CorelDRAW, and Isoline-GIS software systems. Informative constructions were performed and additional statistical data processing was performed in the «Statistica-Base» program.

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ANALYSIS OF THE FLOODING SYSTEM WITH APPLICATION OF STATISTICAL DATA PROCESSING METHODS

Oilfield Engineering ◽

10.30713/0207-2351-2020-8(620)-5-9 ◽

2020 ◽

pp. 5-9

Author(s):

A.Yu. Sentsov ◽

◽

I.V. Ryabov ◽

A.A. Ankudinov ◽

Yu.E. Radevich ◽

...

Keyword(s):

Data Processing ◽

Statistical Data ◽

Processing Methods ◽

Statistical Data Processing ◽

Data Processing Methods

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Use of Mathematical Modeling in Building Ceramics Functional Properties Studies

Materials Science Forum ◽

10.4028/www.scientific.net/msf.870.191 ◽

2016 ◽

Vol 870 ◽

pp. 191-195

Author(s):

N.A. Vil'bitskaya ◽

S.A. Vilbitsky ◽

A.G. Avakyan

Keyword(s):

Mathematical Modeling ◽

Data Processing ◽

Ceramic Material ◽

Functional Properties ◽

Statistical Data ◽

Ceramic Tiles ◽

Processing Methods ◽

Statistical Data Processing ◽

High Calcium ◽

Data Processing Methods

The peculiarities of using mathematical and statistical data processing methods in studying the intensification in the process of sintering a ceramic material with a high content of high-calcium waste, and mineralizing sintering lithium-containing waste were studied. The region of optimal ceramic masses composition, which allows obtaining ceramic tiles with high functional properties, was defined.

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Hardware Acceleration of Statistical Data Processing Based on FPGAs in Corporate Information Systems

2020 2nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA) ◽

10.1109/summa50634.2020.9280689 ◽

2020 ◽

Author(s):

Elena Andrianova ◽

Peter Sovietov ◽

Ilya Tarasov

Keyword(s):

Information Systems ◽

Data Processing ◽

Statistical Data ◽

Hardware Acceleration ◽

Statistical Data Processing ◽

Corporate Information Systems ◽

Corporate Information

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Psycholinguistic Issues of Translation, Adaptation and Validation of «The Big Three Perfectionism Scale»

Psycholinguistics in a Modern World ◽

10.31470/10.31470/2706-7904-2020-15-59-62 ◽

2020 ◽

Vol 15 ◽

pp. 59-62

Author(s):

Tamara Grubi

Keyword(s):

Factor Analysis ◽

Data Processing ◽

Statistical Data ◽

Reliability And Validity ◽

Statistical Data Processing ◽

Pace Of Life ◽

Rapid Pace

Increased interest in the study of perfectionism of a person is becoming more and more relevant, it can be explained by the rapid pace of life, increasing competition, the cult of perfectionism and individual accomplishments. To diagnose perfectionism they use questionnaires, however, the vast majority of them have two scales. In the «Great Triennial Scale of Perfectionism», perfectionism is viewed as a richly varied construct that combines three types – «hard», «self-critical» and «narcissistic». In turn, each of these types is composed of several scales, which are included in the inventory in order to increase reliability and accuracy in the assessment. The results of the process of translation, adaptation and standardization of the quantifier are presented. Data on primary statistical data processing, reliability, validity of the technique, correlation and factor analysis of its indicators according to psychometric requirements are given. The reliability and validity of the instrument and the possibility to use it for investigative and psychodiagnostic purposes has been proved.

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Algorithm of complex anthroposcopic, anthropometric and dermatoglyphic research in forensic identification of an unknown person

Forensic-medical examination ◽

10.24061/2707-8728.1.2021.5 ◽

2021 ◽

pp. 36-49

Author(s):

Halyna Zelenchuk ◽

Natalia Kozan ◽

Valeriya Chadiuk

Keyword(s):

Neural Network ◽

Data Processing ◽

Forensic Science ◽

Research Methods ◽

Statistical Data ◽

Forensic Identification ◽

Statistical Data Processing

The article presents materials and research methods that are used both to identify an unknown person and to predict a person's susceptibility to illegal actions of varying severity. In particular, this article describes anthroposcopic, anthropometric, dermatoglyphic methods, statistical data processing and neural network forecasting, which are widely used in modern forensics and forensic science. The relevance and objectives of the above research methods are formulated in order to predict a person's propensity to illegal actions of varying severity.

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Peningkatan Kompetensi Dalam Menunjang Kinerja Karyawan Pada PT Batang Bumi Mandiri

Coopetition : Jurnal Ilmiah Manajemen ◽

10.32670/coopetition.v12i3.748 ◽

2021 ◽

Vol 12 (3) ◽

pp. 397-404

Author(s):

Dekky SI Efendi ◽

Sonny Hersonna ◽

DJ Suyaman

Keyword(s):

Data Processing ◽

Sampling Method ◽

Statistical Data ◽

Research Data ◽

Coefficient Of Determination ◽

High Quality ◽

Statistical Data Processing ◽

Sample Technique ◽

Saturated Sample

Competence in an organization or company is important in supporting the performance produced by employees. The management of course will make efforts to increase the competence of its employees with the hope that the performance of the employees will make their work complete and the output produced is of high quality. Recognizing the importance of competence on performance, the authors helped by examining these variables. In this study the researchers collected data by distributing it to all employees at PT Batang Bumi Mandiri with a total of 25, of which the entire population will also be sampled because the sampling method used is the saturated sample technique. In processing this data used statistical data processing tools in the form of SPSS version 26 to assist the author in processing research data. The result of the research is that competence has an effect on performance. The competency variable also has a coefficient of determination of 16.5% to affect performance, while the remaining 83.5% is influenced by other variables not examined in this study.

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