Programming Language Environment Research Articles

ASSESSMENT OF THE FINANCIAL RESULT OF PUBLIC-PRIVATE PARTNERSHIP PROJECT IMPLEMENTATION USING THE EXAMPLE OF A CONCESSION AGREEMENT

The article is aimed at developing a methodological approach to improving the efficiency of assessing the financial results of implementing Ukrainian and European business projects. In this context, the object of study is a specific individual partnership and cooperation project. The research has established that one of the key informational aspects of such a partnership is the assessment and forecasting of the financial result. The goal of the research is to present the methodological approach to assessing financial performance for an individual project in the most detailed form possible. The article presents an approach based on modern simulation modelling methods, systems analysis methodology, and the method of composite seasonal indices. All modelling processes were conducted using MATLAB software. MATLAB is a high-level programming language and interactive environment for numerical computation, visualization, and programming. This program is widely used for modelling and data processing in fields such as engineering, scientific research, and mathematics. The research result is presented as an approach to the mathematical modelling of assessing the financial performance of partnership projects of Ukraine with representatives of EU business. It is necessary to emphasize that the presented research has limitations related to changes in Ukraine's hyperdynamic external environment provoked by war. Forecasts may vary depending on the development of military actions. Therefore, the prospects for further research should be directed towards improving the informational provision in the system of partnership and cooperation with EU countries to increase their own investment security.

STEGANOGRAPHIC METHOD OF PROTECTING TEXT INFORMATION

The topic of this article is devoted to one of the modern methods of information protection – the steganographic method of information protection. The use of this method, as well as the method of information encryption, has become very significant today with the use of information technologies. The purpose and objective of the work is to describe and consider the steganographic method of information protection, analyze the principle of operation of this method and, using the example of a programming language, create applications based on the steganographic method. The article provides brief information about the concept of information security, and also notes that the Internet and information networks play an important role in ensuring the security and application of information and communication technologies and are considered an important problem of our time. Also, as an example, the work of a practical protection program using the steganographic method, developed in the Visual C# programming language environment, is shown. The authors have developed a program for protecting text information using the steganographic method. When developing the security program, the authors used the Embarcadero Delphi 2010 programming language environment. It hides the presence of secret text using an image. The program uses several working components, such as: TLabel, TButton, Tedit and TImage, and also provides the ability to process files. It is noted that information protected by the steganographic method has a low probability of disclosure of the text transmission.

Influence of mother’s genotype on the concentration and variability of triiodothyro- nine in landrace pigs

One of the leading roles in the hormonal system of the body of pigs in terms of functional significance is played by the thyroid gland, which, through the hormone triiodothyronine, has a complex effect on all systems, organs and physiological processes while controlling the metabolism and energy in the animal’s body. The impact of maternal genotype on the concentration and variability of triiodothyronine in complete siblings of Landrace pigs was studied. For the study, blood serum samples were taken from 33 pigs using the vacuum method from the jugular vein. Blood samples were taken according to generally accepted practices. The studies were carried out in the laboratory of the biochemistry of the Novosibirsk State Agrarian University using the technique of competitive enzyme immunoassay with a set of reagents “Steroid ELISA-triiodothyronine” to quantify the concentration of triiodothyronine in blood serum. Enzyme immunoassay was performed on a Thermo Scientific Multiskan FC analyser. In pig breeding, the content of heavy metals in water, soil, feed, organs and tissues was constantly monitored. The concentration of chemical elements did not exceed the MPC level. Statistical processing of experimental data was carried out using standard methods of descriptive statistics and the statistical programming language or data analysis environment RStudio (using the functions: descrstats, summary, sd, read.table, write. table, aes). The strength of the influence of the genotype of mothers of the Landrace breed on the triiodothyronine content in complete siblings in the conditions of Western Siberia was established, which amounted to 4.6 %. In some mothers’ offspring, the triiodothyronine level was 1.9 and 1.8 times higher than in others. Two clusters of mothers were identified according to the concentration of triiodothyronine in complete siblings, which included three groups of mothers with an average level of 2.26 nmol/l and five groups with the attention of 1.30 nmol/l. The reference limits of the triiodothyronine level in Landrace pigs in the conditions of Western Siberia were established.

SOFTWARE IMPLEMENTATION OF AUTOMATED USER INTERFACE TRANSLATION TOOL

Numerous daily activities are long since accomplished using mobile applications and international resources available through the Internet. The majority of such resources support only a limited amount of world languages for the interface. This raises the issue of the need for end users to know the languages required to operate and use these programs. Not every developer in the world has access to professional translation services, or the ability to create such translations on their own. Evaluating these factors shows an existing need of a convenient and accessible program specialized in creating and ensuring quality translation of software user interfaces specifically. Analysis was conducted to determine advantages and disadvantages of possible implementation methods and existing algorithms, i.e. GNU gettext. Based on this analysis requirements for the resulting program are formed, those being a comfortable user interface and a set of functions specific to working with user interfaces and source code files. The list of primary functionality includes interaction with internet services for machine translation and the ability to view the source code of a program or website in context of text elements of the user interface. A program tool for the Microsoft Windows environment that implements all requirements to base functionality is conceptualized and developed. The project version of the program was implemented using C# programming language and Microsoft Visual Studio development environment. The program is specialized for the translation of user interfaces, and enables automation of this process via usage of the Google Translate service. To maximize ease of use the program stores the resulting translation in a simple text format, designed to be loaded and read from during runtime of the target program or website. Also included is a detailed demonstration on the workflow using the interface of the translation program as an example, and potential directions of further developments are determined. Keywords: machine translation; software development; user interface; Google Translate

A framework for semi-automated creation of Building Information Models for existing buildings

The environmental impact of the building sector can be significantly mitigated by reusing materials and components from the existing building stock. Building Information Modelling (BIM) methodology can serve as a potent tool for the documentation, management of existing buildings, and foster effective collaboration among different stakeholders in the value chain of the building sector. In addition, by providing information about the building’s structure, materials, and systems, BIM enables more informed decision-making regarding potential renovations, retrofits, and repurposing. However, developing BIM models for existing buildings is a labour and time-intensive task. There is therefore the need to investigate possible ways to automate the data acquisition and the creation of BIM models. By using the extracted alphanumerical information from two databases in a BIM and Visual Programming Language environment, we develop a workflow that can read and transform this information, which is given as input, into a parametric BIM model. We then discuss the data availability and accessibility from those databases and what data requirements are still needed to achieve higher granularity for the BIM models. Finally, we develop a workflow, and we provide suggestions for further research and data integration. A shift into a circular economy model in the building sector could support reducing the environmental impact that the sector is causing. Developing BIM models by using a simpler method, could potentially facilitate informed decision-making for the reuse, recycling, and repurposing of building-materials and elements.

A Model of a System of Simultaneous Equations with a Lag Effect for Estimating the Quality of an Advertising Campaign

This article describes the creation of a more generalized system of simultaneous equations for forecasting the level of sales depending on advertising campaigns on different channels and other factors. RStudio (R programming language) and Google Colab (Python programming language) environments describe the creation of a model based on real data of a product. The Hausman specification test was applied to determine the model estimation method. As a conclusion, the indicators of advertising campaigns turned out to be endogenous variables, which indicates the importance of using the 2MNK method. It was found that the volume of advertising is the cause of the volume of sales according to Granger, which cannot be said about the reverse assumption - the causality of the volume of advertising from sales according to Granger. The ”depth” of lags is also determined, namely, one lag for both advertising channels. The dependence of sales volumes on various factors, including product distribution, the price index, the influence of advertising and its lags, and the influence of competitors’ advertising activities, was evaluated. The coefficients of the resulting more generalized system of simultaneous equations were estimated using the two-step least squares method. All statistical indicators testify to the adequacy of the model. Performance indicators (ROI - return on investment) of advertising campaigns showed that advertising both on television and on the Internet is profitable for the company’s product in question. The relevance of this article lies in the creation of a more general system of simultaneous equations with the inclusion of a product sales forecast model taking into account the influence of advertising.

Surrogate-based optimization of multiple-splitters radial compressor for solar hybrid microturbine

In the open literature, there is no clear guidance for design procedure on the number or where best position the splitter leading-edge to improved performance in the radial compressor. A surrogate-based optimization of multiple-splitters radial compressor has been conducted for solar hybrid microturbine in the present studies. Also, the impact of the multiple-splitters leading-edge position on the rotor radial compressor is demonstrated. The radial compressor is compared using air and supercritical carbondioxide ( sCO 2 ) as the working fluid. The optimization problem is solved by applying the surrogate or response surface model using the radial basis function network (RBFN) from the opensource package in the Julia programming language environment. Starting from 65 data points from DoE based on the optimum Latin-hypercube, the optimum candidate design can be predicted with CFD and FE analysis. The results show that for air radial compressors, the optimum position of the small-splitter leading edge is 20% from the outlet rotor, and for the middle-splitter leading position at around 30% from the inlet rotor. Unlike air radial compressors, the sCO 2 radial compressor has the optimum leading-edge position for the middle splitter around 60% from the inlet rotor, and the small splitters are around 30% from the outlet rotor. Finally, compared between the non-splitter and multiple-splitter designs, the total-to-total efficiency at the same pressure ratio is improved by around 2.30% for air radial compressor and 2.25% for sCO 2 radial compressor. Meanwhile, the operating range is increased by 29.0% for air radial compressors and 18.0% for sCO 2 radial compressors.

Text mining and sentiment analysis of teacher performance satisfaction in the virtual learning environment

Although it is true that artificial intelligence and data science have become key tools that contribute to the improvement of many processes, identifying patterns and contributing to decision making, however, there are environments in which they are not yet being using it relevantly and effectively. The objective of this study is to identify the relevant factors, based on the opinions expressed by the students through the social network Twitter regarding the perception of satisfaction with the teaching performance during the virtual learning environment. For which sentiment analysis and text mining are used under the Python programming language environment, through JupyterLab. As results, it was determined that a predominance of 57.27% of positive polarity, identifying that the relevant factors of student satisfaction with teaching performance, are related to the development of the teacher in the class sessions that contributes to the learning of the process control subject through the use of simulation tools such as simulink and tools linked to proportional integral derivative (PID) controllers; on the other hand, there is a percentage of negative polarity of 15.45% that belongs to the factors linked to the laboratory sessions in which graphic representation and block diagrams were used to explain the class session.

Traffic Dataset for Dynamic Routing Algorithm in Traffic Simulation

The purpose of this research is to create a simulated environment for teaching algorithms, big data processing, and machine learning. The environment is similar to Google Maps, with the capacity of finding the fastest path between two points in dynamic traffic situations. However, the system is significantly simplified for educational purposes. Students can choose different traffic patterns and program a car to navigate through the traffic dynamically based on the changing traffic. The environments used in the project are VIPLE (Visual IoT/Robotics Programming Language Environment) and a traffic simulator developed in the Unity game engine. This paper focuses on creating realistic traffic data for the traffic simulator and implementing dynamic routing algorithms in VIPLE. The traffic data is generated from the recorded real traffic data published on the Arizona Maricopa County website. Based on the generated traffic data, VIPLE programs are developed to implement the traffic simulation with support for dynamic changing data.

Business Transformation Project’s Holistic Agile Management (BTPHAM)

This article proposes a Business Transformation Project (BTP), Holistic Agile Management (HAM), to support intensive agile transformations. A BTP assisted by HAM (BTPHAM) uses critical success factors and areas, natural programming language environment and a dynamic decision-making system to improve the enterprise’s Time To Market (TTM). BTPHAM supports all phases of a transformation project, and its concept is mainly based on existing standards, methodologies, and conventional practices. Complex markets and high levels of competition forces enterprises to integrate agile product and services management, in all its value chains. A HAM approach forces the used transformation framework and the related set of existing frameworks, to synchronize all types of transformation activities, like the deployment of software components. Such a synchronization process may generate many problems, which are difficult to trace, and which can damage the cyclic development process. This framework’s originality is that it can be used in any stage of the transformation project and for any type of problem, and to synchronize BTPHAM’s coordination. The main limitations are the enterprise’s capacity to restructure and unbundle its legacy environments; and to integrate the BTPHAM in all its environments and implementation processes; which need the optimal BTP manager.

Русская речь в зоне языкового контактирования: активные тенденции в сфере отклонений от речевого стандарта

In the article, the authors characterize the functional version of the Russian language, which was formed in the language contact zone in the places of compact settlement of the the Shor, Khakass, and Tatar speakers in the south of Western Siberia. Spontaneous oral speech of bilinguals is presented as an independent subsystem that can be analysed according to the norms of the written codified Russian literary language. The authors discuss what types of deviations from the speech standard (DLS) prevail in the speech of Turkic-Russian bilinguals and whether deviations of speech norms depend on the basic sociolinguistic characteristics of native speakers - age and education. The material includes about forty hours of recorded texts, marked by deviations from the speech standard. The data were preprocessed before the analysis, with DLS tags combined by language levels: Phon, Morph, Synt, Lex, Disc., and files loaded into the R programming language environment. The statistical analysis has shown significant quantitative predominance of DLS conditioned by oral spontaneous communication. They include variants of hesitation and formal-semantic and functional incompleteness of utterances. The second most frequent DLS are various types of deviations of syntactic coherence and constructive correctness of utterances. Significantly inferior to them are DLS at the Lexical and morphological levels. However, deviations from the norms of syntactic coherence in a significant number of cases manifest interference caused by the influence of native languages of bilinguals. The dependence of DLS distribution on the basic sociolinguistic characteristics of bilingual speakers - age and education - was found only for groups of morphological and syntactic errors.

Business transformation project’s architect’s profile (BTPAP)

This article proposes a holistic mathematical model for the selection, supporting and evaluation of a transformation architect’s or manager’s profile. The model uses critical success factors, natural programming language environment and an adapted decision-making system to define the optimal BTPAP. The authors propose the use the BTPAP in various types of transformation projects, like for example, in the case of transformation of enterprise’s human resources activities, financial systems transformation, logistics transformation projects, or even in audit operations. The BTPAP is a specific profile which is mainly based on the manager’s original capabilities and affinities, which are in turn supported by the optimal educational curriculum, by worthful experiences in transformation projects and above all, such profile should be supported by a tuneable transformation framework. A transformation framework is a set of existing frameworks that are integrated to support all types of transformation activities, like the selection of the optimal BTPAP. This framework’s originality is that it can be used in any stage of the transformation project for any type of problem and to audit the BTPAP’s effectiveness. The main limitation is the enterprise’s capacity to restructure and unbundle its legacy environments.

Developing mobile software for foreign language learning

Problem. The subject of the study is an interactive mobile application in Java. To perform this work, the following tasks were set: analysis of programming environments and languages of development; analysis of methods for developing the logic and interface of the mobile application; development of an interactive mobile application in Java. Goal. The aim of the work is to develop a mobile application for learning a foreign language for the Android operating system, whose interface and logic will be modern, user-friendly and accessible to users. Methodology. The general concept of a mobile application for learning a foreign language is as follows: learning a foreign language offline, versatile learning (words, grammar), the presence of a motivational unit, simple design. The object of research is the process of building an interactive mobile application in Java for the Android operating system. In the course of the work, a study of programming languages and environments for the development of mobile applications was conducted. Programming languages such as: Java, C ++, C # were considered. Programming environments such as Android Studio, NetBeans and Eclipse were also analyzed. As a result, the Java programming language and Android Studio programming environment were chosen for the development of the mobile application. Two types of markup were selected: LinearLayout; ConstraintLayout. Results. The mobile application for learning a foreign language for the Android operating system was developed in Android Studio in two programming languages: Java (logic) and XML (interface). The aim to provide the application with modern interface and logic, to make it user-friendly and accessible to users was completed. Originality. Contribution has been made to the field of using smartphones for learning foreign languages. The sphere of using smartphones has been expanded with the use of all modern trends to the creation of mobile applications for learning foreign languages. Practicalvalue. Considering that the number of potential users will only increase in the nearest future, the developed mobile application for learning a foreign language is an ideal platform for educating those who want to develop and learn foreign languages for themselves, as well as for work, communication and travel.

Survey of NISQ Era Hybrid Quantum-Classical Machine Learning Research

Quantum computing is a rapidly growing field that has received a significant amount of support in the past decade in industry and academia. Several physical quantum computers are now freely available to use through cloud services, with some implementations supporting upwards of hundreds of qubits. These advances mark the beginning of the Noisy Intermediate-Scale Quantum (NISQ) era of quantum computing, paving the way for hybrid quantum-classical systems. This work provides an introductory overview of gate-model quantum computing through the Visual IoT/Robotics Programming Language Environment and a survey of recent applications of NISQ era quantum computers to hybrid quantum-classical machine learning.

Towards a polyglot framework for factorized ML

Optimizing machine learning (ML) workloads on structured data is a key concern for data platforms. One class of optimizations called "factorized ML" helps reduce ML runtimes over multi-table datasets by pushing ML computations down through joins, avoiding the need to materialize such joins. The recent Morpheus systemautomatedfactorized ML toanyML algorithm expressible in linear algebra (LA). But all such prior factorized ML/LA stacks are restricted by their chosen programming language (PL) and runtime environment, limiting their reach in emerging industrial data science environments with many PLs (R, Python, etc.) and even cross-PL analytics workflows. Re-implementing Morpheus from scratch in each PL/environment is amassive developability overheadfor implementation, testing, and maintenance. We tackle this challenge by proposing a new system architecture,Trinity, to enable factorized LA logic to bewritten only onceand easilyreused across many PLs/LA tools in one go. To do this in an extensible and efficient manner without costly data copies, Trinity leverages and extends an emerging industrial polyglot compiler and runtime, Oracle's GraalVM. Trinity enables factorized LA in multiple PLs and even cross-PL workflows. Experiments with real datasets show that Trinity is significantly faster than materialized execution (> 8x speedups in some cases), while being largely competitive to a prior single PL-focused Morpheus stack.

Data Management for Quality Improvement: How to Collect and Manage Data.

Data Management for Quality Improvement: How to Collect and Manage Data.

Hybrid Visual Programming Language Environment for Programming Training

The paper presents an approach to learning and an environment for working with a hybrid visual - text programming language with a special emphasis on the training for future programmers at an early stage. An overview of other visual programming environments and languages is made and the advantages of the hybrid visual - text approach offered in this article are highlighted. Emphasis is placed on the practical implementation of a proprietary environment for the development of sample programs in the author's hybrid visual programming language. An example of the use of the environment is presented and perspectives for its development are formulated.

A container-based approach for sharing environmental models as web services

ABSTRACT As researchers globally work towards a fully digital representation of the earth and its processes – i.e. a true Digital Earth – the need grows for software and systems to link disparate computer simulation models of various parts of the earth in a reliable and highly functional way. Web services have been demonstrated as an effective way to share and reuse models as they enable communication and interoperation among applications via the Internet. However, even using well-designed software tools, it remains a daunting process to publish heterogeneous environmental models as web services and provide long-term maintenance in response to changing computational environments. We present an approach that enables environmental models to be published as long-term functional web services on the same platform regardless of execution mode, programming language, and computational environment conflicts. The approach adopts the OpenGMS Wrapper System (OGMS-WS) for service publishing and Docker containers for model isolation. A streamflow prediction service is developed using this approach and is applied to analyze historical streamflow trends in Bangladesh. We demonstrate that this approach can lower the barrier to deploying heterogeneous environmental models as long-term functional web services, contributing to the development of a Digital Earth.

Artificial Neural Network Based Amharic Language Speaker Recognition

In this artificial intelligence time, speaker recognition is the most useful biometric recognition technique. Security is a big issue that needs careful attention because of every activities have been becoming automated and internet based. For security purpose, unique features of authorized user are highly needed. Voice is one of the wonderful unique biometric features. So, developing speaker recognition based on scientific research is the most concerned issue. Nowadays, criminal activities are increasing day to day in different clever way. So, every country should have strengthen forensic investigation using such technologies. The study was done by inspiration of contextualizing this concept for our country. In this study, text-independent Amharic language speaker recognition model was developed using Mel-Frequency Cepstral Coefficients to extract features from preprocessed speech signals and Artificial Neural Network to model the feature vector obtained from the Mel-Frequency Cepstral Coefficients and to classify objects while testing. The researcher used 20 sampled speeches of 10 each speaker (total of 200 speech samples) for training and testing separately. By setting the number of hidden neurons to 15, 20, and 25, three different models have been developed and evaluated for accuracy. The fourth-generation high-level programming language and interactive environment MATLAB is used to conduct the overall study implementations. At the end, very promising findings have been obtained. The study achieved better performance than other related researches which used Vector Quantization and Gaussian Mixture Model modelling techniques. Implementable result could obtain for the future by increasing number of speakers and speech samples and including the four Amharic accents.

Profit Maximization of Magdalena Dairy Raisers Association’s Dairy Products in Magdalena, Laguna

This research demonstrates the use of linear programming in maximizing the profit. It applies the concept of simplex method; a method in linear programming to solve industrial problems that aims to maximize the profit. The Magdalena Dairy Raisers Association specializes in production of dairy products. Three different varieties of dairy products were observed. The data was simulated using MATLAB; a fourth-generation programming language and numerical analysis environment that creates data visualization and user interfaces (UI), calculates matrices, and develops and runs algorithms. The results show that using the Linear Programming Model, we obtain the total revenue of each dairy product with an increase of 108.17% for Fresh Milk, 12.10% for Choco Milk, and 35.95% for Milk O Jel from their previous revenue. As a result, we achieved our goal to maximize the net profit with a total increase of 151.16%..