Interpreted Programming Language Research Articles

Анализ и документирование требований для программного комплекса по проведению вычислительных экспериментов и численному исследованию системы «расходомерная трубка – жидкость» кориолисова расходомера

<p>Item. This article describes the stages of development of a software package designed to conduct a series of computational experiments on numerical modeling of the “flow tube – liquid” system of a Coriolis flow meter and automation of algorithms for subsequent data processing and visualization. The purpose of this article is to formulate and document the requirements for a software package, and its design based on modern approaches to the development of software products. Methods. The structure of requirements for the software package was developed based on the Software Requirements Specification template adopted in the Rational Unified Process software development methodology, in accordance with the classification of requirements for FURPS+ software systems. Python 3 and the interpreted programming language of the MATLAB environment were used to develop the complex routines. Results. A structure of requirements for the software package has been developed, including functional and non-functional requirements. A software package consisting of three subprograms has been developed, its structure, main components and capabilities are described, and examples of use are demonstrated. Conclusions. The software package solves the problems of automating modeling algorithms, processing and visualizing data obtained as a result of experiments. It can be used in engineering and scientific research related to the analysis of the performance of Coriolis flow meters.</p>

Pelatihan dan Pendampingan Pemrograman Python Dalam Meningkatkan Kompetensi Siswa SMKN 5 Palu

Python programming is a multipurpose interpretive programming language with a design philosophy that focuses on code readability. Python is a language that combines capabilities with very clear code syntax and is equipped with the functionality of a large and comprehensive standard library. Python supports multiple programming paradigms. One of the features available in Python is that it is a dynamic programming language equipped with automatic memory management. This Community Service Activity is carried out by providing training material starting from a basic introduction to the Python programming language, basic rules for writing Python syntax, an introduction to variables and data types in Python, operators in Python, and learning structures and functions in Python. The mentoring process is also carried out to provide direct experience to students. This activity went well and received appreciation from the school, and the students hope that this activity can be continued so that students are able to apply Python programming well.

РАЗРАБОТКА ПРОГРАММНОГО ОБЕСПЕЧЕНИЯ МОДЕЛИРОВАНИЯ ПРОЦЕССОВ ТЕПЛОМАССОПЕРЕНОСА ПРИ МНОГОФАЗНОМ ПОТОКЕ

Mathematical models simulating the process of heat and mass transfer in a multiphase flow and taking into account the thermal conductivity of the working fluid, taking into account its location in space, physical properties and other characteristics, are difficult to implement in the form of software. Usually such models are represented by nonlinear equations, which makes it difficult to implement them correctly using numerical methods. When developing such mathematical models, hydrodynamics, heat transfer of a moving working fluid and the dependence of viscosity on temperature and velocity gradient are not taken into account. (Research purpose) The research purpose is developing a mathematical model of the functioning of the heat supply system as a set of cylindrical pipelines with a heat source through which the working fluid moves. Additional conditions are introduced to achieve high accuracy of calculations at boundary points. The possibility of using analytical equations to calculate the internal heat dissipation during the transportation of the working fluid inside the pipeline is studied. (Materials and methods) Using the two-phase delay theory (DPL-model) and the finite element method (FEM) as flow balancing methods, we obtain a model of the heat exchange of the working fluid motion in the pipeline with the possibility of taking into account relaxation properties. (Results and discussion) The developed algorithm is implemented using the high-level interpreted programming language MATLAB and its simulation environment for complex technical systems Simulink. (Conclusions) Equations modeling the real motion of a multiphase working fluid in locally nonequilibrium systems, including heat supply systems, are obtained. The results obtained make it possible to compile an algorithm and implement it using the high-level interpreted programming language MATLAB, defining a working version of the software for modeling heat and mass transfer processes in a multiphase flow.

Компьютерная программа для моделирования показателей технического качества индукторов линейных асинхронных электродвигателей

The determination of indicators of the technical quality of electric motors, as well as their modeling, are in demand in the organization, final control of the technical quality of products, in the procedures for diagnosing and monitoring the technical condition of electrical equipment during operation. A large role in substantiating the criteria for the technical quality of electric motors and developing methods for their determination is given to computer modeling. Along with rotating electric motors, linear asynchronous electric motors (LAEM) are increasingly being used in technical systems. Criteria and test methods developed for rotating electrical machines are not adequate to the specifics of the LAEM. As applied to LAEM inductors, a method is proposed for assessing the technical quality indicators of three-phase inhomogeneous inductors with a non-uniform distribution of magnetic properties along the magnetic circuit. The method is based on the impulse effects of a voltage source on the LAEM inductor. A mathematical model, an algorithm and a program for modeling the technical quality indicators of LAEM inductors that implement the proposed method have been developed and presented. The program is written using its own interpreted programming language of the Maple software product and requires the user to enter the parameters of an electrical device. At the output, the user automatically receives an image of the Green’s matrix, oscillograms of phase currents based on the results of three experiments, and numerical values of quality indicators. The simulation results indicate that the proposed method can serve as a tool for the technical control of inductors, and also that the developed technical quality criteria, mathematical model, algorithm and program allow modeling and evaluating the technical qualities of LAEM inductors both during final tests and during monitoring the technical condition of the device during operation.

RydIQule: A graph-based paradigm for modeling Rydberg and atomic sensors

We describe a numerical technique and accompanying open-source Python software package called RydIQule. RydIQule uses a directional graph, relying on adjacency matrices and path-finding to generate a Hamiltonian for multi-level atomic systems. RydIQule then constructs semi-classical equations of motion (Bloch equations) into a tensor which can store an entire simulation consisting of varied system parameters. Using this framework, RydIQule returns solutions significantly faster than typical for interpreted programming languages. RydIQule extends beyond the capabilities of currently-available tools, facilitating rapid development in atomic and Rydberg spectroscopy. To demonstrate its utility, we use RydIQule to simulate a Doppler-broadened Rydberg atomic sensor that simultaneously demodulates five rf tones spanning from 1.7 to 116 GHz. Using RydIQule, this simulation can be solved in several hours on a commercial off-the-shelf desktop computer.

Security Testing With Python Scripts

Cyber security is one of the main issues that is discussed today everywhere in the world. The development of technology has grown rapidly and it is important that this development should be done simultaneously with the increase in security. When we talk about the network, we must also consider its "Security". On the other hand, Python is a language which, especially in recent times, has received a great development and now we can say that it enjoys such a wide community. Our goal in this article is the advantages that this programming language offers in cases of cyber security issues. It has everything that cyber security professionals need to protect against cyber vulnerabilities and threats. It allows developers to do anything that relates to cyber security by detecting threats to system fixes. Python is a high-level, general-purpose, interpreted programming language for analyzing small networks. So, the implications of the study are for cybersecurity professionals and developers. They use the NetworkX grid tools imported into python. NetworkX provides many functions and generation facilities to read and write graphics in many formats. By analyzing these network nodes graphs, are identified the nodes that can be "bad". With Python scripts, you can scan ports and compromised device. In order to achieve this, we have obtained two concrete dataset which were obtained respectively from a public and a private network. After analyzing the graphs, the weaknesses of the network and unidentified devices in the network are identified, creating the possibility of taking appropriate measures to protect against cyber-attacks.

Implementation Of The Inter Tk Package, Sub-Process And Os In The Network Management Application Development With Python Programming Language

The development of technology is currently running very rapidly, especially in the field of computer networks that make it possible to connect all people from various places. The need for information triggers the rapid development of network infrastructure technology by several vendors or brands. The need for network infrastructure is of course inseparable from the large number of users who use the internet service, causing new problems because the number of users is not proportional to the number of technicians available. For general users, they can wait for the handling schedule from the technician, while for agencies that need a network to complete their work, they don't have that time. To overcome this, you can use a special program to check the network regularly where everyone can use it so that it can reduce free customer service at network providers. One programming language that can be used open source for the development of these applications is python. Python is a multipurpose interpretive programming language with a design philosophy that focuses on code readability. Python programming is still rarely used because it still uses the terminal as the main access where the user has to type certain code to execute the desired result, such as the Command Prompt Windows (CMD) program. The use of python-based applications can be made more comfortable for users by using a GUI (Graphical user interface) display using the TKInter library, which is a standard Python package for creating GUI displays. Tkinter has an interface to the Tk toolkit that can work as an object-oriented layer on top of Tk. Tkinter has many components that can be used to create user-friendly interfaces. Apart from Tkinter, the application uses a subprocess and os library which functions to access the terminal and execute certain comments in the terminal. The built application has functions for pinging, nslookup, ipconfig, network info, active connection and network processes. Ping and Nslookup require data to be entered in text input on the same line, for ping you can input the IP address of the intended network or website address (requires internet connection) while nslookup can be filled in with the website address.

PERFORMANCE ANALYSIS BETWEEN INTERPRETED LANGUAGE-BASED (LARAVEL) AND COMPILED LANGUAGE-BASED (GIN) WEB FRAMEWORKS

Web frameworks are essential for web developers, allowing them to build web applications more efficiently and effectively. This research paper compared two web frameworks with different programming language implementations: interpreted programming language and compiled programming language. PHP/Laravel was chosen as the representative interpreted programming language, and Go/Gin was chosen as the representative compiled programming language, because they were the most popular based on their star counts on GitHub. Based on a research paper by the University of Minho, Go was nearly 10 times faster than PHP in terms of execution time. Despite this, PHP is still the most commonly used web technology among the top 1 million websites. The results of a series of tests comparing the two showed that Gin was over 86 times faster than Laravel in terms of requests per second and time per request. The choice of which web framework to use will depend on the specific needs and goals of the project. However, if performance is the only criterion, then Gin is a better choice than Laravel.

Exploring changes in depression and radiology-related publications research focus: A bibliometrics and content analysis based on natural language processing.

This study aims to construct and use natural language processing and other methods to analyze major depressive disorder (MDD) and radiology studies' publications in the PubMed database to understand the historical growth, current state, and potential expansion trend. All MDD radiology studies publications from January 2002 to January 2022 were downloaded from PubMed using R, a statistical computing language. R and the interpretive general-purpose programming language Python were used to extract publication dates, geographic information, and abstracts from each publication's metadata for bibliometric analysis. The generative statistical algorithm "Latent Dirichlet allocation" (LDA) was applied to identify specific research focus and trends. The unsupervised Leuven algorithm was used to build a network to identify relationships between research focus. A total of 5,566 publications on MDD and radiology research were identified, and there is a rapid upward trend. The top-cited publications were 11,042, and the highly-cited publications focused on improving diagnostic performance and establishing imaging standards. Publications came from 76 countries, with the most from research institutions in the United States and China. Hospitals and radiology departments take the lead in research and have an advantage. The extensive field of study contains 12,058 Medical Subject Heading (MeSH) terms. Based on the LDA algorithm, three areas were identified that have become the focus of research in recent years, "Symptoms and treatment," "Brain structure and imaging," and "Comorbidities research." Latent Dirichlet allocation analysis methods can be well used to analyze many texts and discover recent research trends and focus. In the past 20 years, the research on MDD and radiology has focused on exploring MDD mechanisms, establishing standards, and constructing imaging methods. Recent research focuses are "Symptoms and sleep," "Brain structure study," and "functional connectivity." New progress may be made in studies on MDD complications and the combination of brain structure and metabolism.

Assessment of reduced respiratory diseases in the Moscow population morbidity as a result of the implementation of the best available technology

AIM: To examine the potential for lowering respiratory diseases in the Moscow population as a result of the implementation of the best available technology at objects of the I and II categories of negative environmental impact.
 MATERIAL AND METHODS: The source data array was created by the authors using a parser script written in the Python computer language. The determination of the geographical coordinates of the location of industrial facilities and their territorial linkage to the administrative districts of the city of Moscow was carried out using the JavaScript API of the Yandex Geocoder. Regression and correlation analysis were used to determine the relationship between the morbidity indicators of the population of the city of Moscow and the indices of comparative non-carcinogenic danger. The mathematical processing of statistical data was carried out using the interpreted programming language R and the spatial territorial binding of negative impact on the environment objects was carried out using the ESRI ArcGIS Online geoinformation system.
 RESULTS: A significant relationship was found between the values of the comparative non-carcinogenic danger indices to the respiratory system (arising from the volume of emissions from objects in the I and II categories of negative environmental impact) and respiratory diseases for various age groups of the population of the city of Moscow (children up to 14 years old, adolescents from 15 to 17 years old, adults over 18 years old). The spearman's sp coefficient was 0.84 (p 0.05), indicating a significant correlation on the Chaddock scale. The Student's t-test index was higher than the critical one at the significance level =0.05. This study identified the potential for lowering the number of respiratory diseases in the population of Moscow, which varies in the range of 1.1%2.2% for children, 1.2%2.5% for adolescents, and 1.02.0 for adults, depending on the scenario for the implementation of the best available technologies at the facilities of the I and II categories of the negative environmental impact.
 CONCLUSION: As a result of the research, a mathematical model has been developed, which allows determining the values of the potential for reducing the incidence of the respiratory system with the implementation of the best available technologies. This can be used in the formation of regional and federal programs for socio-economic development.

An Empirical Study on Bugs in Python Interpreters

Python is an interpreted programming language that has been widely used in many fields. The successful execution of a Python program depends on both the correctness of Python program and the correctness of Python interpreter. As an infrastructure software, there are many bugs in the Python interpreter. Exploring the bugs in Python interpreters can help developers and maintainers of Python interpreters detect and fix bugs and help users of Python avoid risks. In this article, we conduct an empirical study on the bugs in two mainstream Python interpreters: CPython and PyPy. By analyzing 25 958 fixed bugs, 18 824 revisions, 2 116 test cases, and root causes of randomly sampled 510 bugs, we have summarized the following findings. <list list-type="ordered" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><list-item><label>1)</label> The distribution of bugs in the Python interpreter is so uneven that the vast majority of bugs are distributed in a few components and source files. </list-item> <list-item><label>2)</label> The scales of the testing programs that reveal bugs are small. </list-item> <list-item><label>3)</label> The fixing works seem to be not complicated since the number of modified source files and lines of code are limited; however, most bugs need a long time to be fixed; nearly 15% of the bugs need more than one year to fix. </list-item> <list-item><label>4)</label> The priorities of bugs are independent of their locations, but they significantly correlate with duration of bugs. </list-item> <list-item><label>5)</label> Semantic bugs are the most frequent root causes of bugs, and their proportion exceeds other types of root causes. </list-item> </list> These results could indicate some potential problems during the detecting and fixing of Python interpreter’s bugs, and provide some assistance to developers and maintainers of Python interpreters, users of Python, as well as researchers in related fields.

A gentle tutorial on accelerated parameter and confidence interval estimation for hidden Markov models using Template Model Builder.

A very common way to estimate the parameters of a hidden Markov model (HMM) is the relatively straightforward computation of maximum likelihood (ML) estimates. For this task, most users rely on user-friendly implementation of the estimation routines via an interpreted programming language such as the statistical software environment R. Such an approach can easily require time-consuming computations, in particular for longer sequences of observations. In addition, selecting a suitable approach for deriving confidence intervals for the estimated parameters is not entirely obvious, and often the computationally intensive bootstrap methods have to be applied. In this tutorial, we illustrate how to speed up the computation of ML estimates significantly via the R package TMB. Moreover, this approach permits simple retrieval of standard errors at the same time. We illustrate the performance of our routines using different data sets: first, two smaller samples from a mobile application for tinnitus patients and a well-known data set of fetal lamb movements with 87 and 240 data points, respectively. Second, we rely on larger data sets of simulated data of sizes 2000 and 5000 for further analysis. This tutorial is accompanied by a collection of scripts, which are all available in the Supporting Information. These scripts allow any user with moderate programming experience to benefit quickly from the computational advantages of TMB.

Modeling and Simulation of the R5912 Photomultiplier for the LAGO Project

We present the results of the Hamamatsu R5912 photomultiplier tube modelling and simulating. The model can be adapted to any photomultiplier architecture by changing the number of electrodes, voltage distribution, and intrinsic PMT parameters. Our approach solves the use of tapered voltage dividers and allows photomultiplier simulations under stimulation conditions. The model implementation is not limited to SPICE-based software but also be used with compiled and interpreted programming languages. The modeled pulse charge of a vertical muon differs about 4% from the data. The resistive divider model tested reproduces the voltage distribution along the dynodes with a variance of ~3.5%. We compare the photomultiplier model linearity with the data from the operating LAGO's (Latin American Giant Observatory) water Cherenkov detectors installed at Bucaramanga-Colombia and Bariloche-Argentina.

Improving the functional capabilities of the walking robot model

Possibilities of improving the existing model of a walking two-legged robot in the MATLAB/Simulink environment are considered in order to bring the model closer to the real parameters of the human body and give it the ability to avoid obstacles. The upgraded robot repeats style of human`s walking on bent legs. During the modernization, the built-in tools of the Simulink environment are used, and for the calculation and output of additional a posteriori information — the interpreted programming language MATLAB. Existing model was upgraded as follows: height of the robot was approximated to the height of human lower limbs complex with a height of 175 cm and now is 100 cm, total weight of the walking robot is 172 kg, additional six degrees of freedom were introduced to provide greater mobility to the robot, a script was implemented to determine the speed of the robot. Also, an obstacle in the way of the robot was added, an algorithm for obstacle avoidance with the subsequent continuation of the robot's walk in the initial direction was developed and explained.

Determination of the reduction coefficients in a continuous finishing group of stands in a hot rolling mill using artificial neural network

There are many problems when creating digital doubles. One of which is the definition of the source data: in this case, the definition of private reductions (coefficient ratios) in a continuous finishing group of stands of the broadband hot rolling mill 2000 of PJSC Magnitogorsk Iron and Steel Work. Algorithms were developed to calculate the thickness of the breakdown bar, the number of stands involved, power required for rolling and coefficient ratios to solve this problem. The algorithms are based on well-known solutions (the Imai method) using neural networks. The training of neural networks was conducted on a sample collected for the period from 01.01.2017 to 01.01.2019 work of the mill in the PyTorch library of the interpreted programming language Python. The average error εME of the calculation of coefficient ratios (according to the developed algorithms with neural networks) does not exceed 8.9% and the standard deviation σ does not exceed 0.074.

Dynamic game semantics

AbstractThe present work achieves a mathematical, in particular syntax-independent, formulation of dynamics and intensionality of computation in terms of games and strategies. Specifically, we give game semantics of a higher-order programming language that distinguishes programmes with the same value yet different algorithms (or intensionality) and the hiding operation on strategies that precisely corresponds to the (small-step) operational semantics (or dynamics) of the language. Categorically, our games and strategies give rise to a cartesian closed bicategory, and our game semantics forms an instance of a bicategorical generalisation of the standard interpretation of functional programming languages in cartesian closed categories. This work is intended to be a step towards a mathematical foundation of intensional and dynamic aspects of logic and computation; it should be applicable to a wide range of logics and computations.

Automated visualization of calculation results in the Algozit programming environment

The functional object diagram of algorithms for constructing a graphical representation of the source and calculated data in the visual programming environment “Algozit” is considered. When defining the functional content of circuit elements (algomats), a built-in interpreted programming language is used, supplemented by graphical operators. Using the built-in language simplifies the modification and support of the developed visual algorithm. Graphic operators use the capabilities of a graphic library built into the visual programming environment. The library allows you to accumulate data on graphic primitives in three-dimensional space and build them in a graphic window in the form of a central projection or stereo image. The graphics window is equipped with display controls.

A Web-Based Application That Makes Radiation Therapy Plans and Treatment Details Readily Accessible to Multidisciplinary Care Teams

All Radiation Therapy Management System (TMS) hold detailed information on planned and delivered treatments, however, it can be time-consuming for multidisciplinary teams to access and structure treatment records in the optimal manner for efficient clinical practice and easy research due to limited reporting features. This study aims to develop a web-based application to rapidly and automatically retrieve treatment records of one or more patients, present the desired information to clinical and research staff, and remind them of upcoming treatment milestones, promoting safety, quality and efficiency of radiotherapy clinical practice. We developed a web-based application as a web portal for authorized users to query and retrieve, and present detailed information from the TMS in an optimal practice-specific manner. The tool is composed of two parts, a web app that runs in standard browsers, and a web server. The web app is developed using markup and interpreted computer programming languages, and initiates query requests for the treatment history. The web server is developed using a high-level interpreted programming language, hosted on an an open-source server. It receives requests from the browser-based app and queries data from the TMS database. The web app then shows the received data in a clinically-optimized form and highlights important upcoming milestones such as when the next on-treat-visit is due, or treatment completion summary is required. The queries can be based on physician, dose, machine, patient, technique, patient list, etc. The data shown to users includes basic patient demographics, diagnosis, prescription sites and their completed and scheduled total fractions, the delivered dose and scheduled total dose, the treatment start and end dates, etc. The plan file can be downloaded in PDF files for each approved prescription and rapidly displayed upon request. We developed an efficient tool for radiotherapy treatment history check. Its performance has been optimized such that it can query and analyze treatment data for an average of 141.2 patients with 546.5 sites per second. Since its clinical implementation, this tool has been widely used by our physicians, physicists, residents, and other clinic staff and researchers, and has been recognized as a very efficient and handy tool for them to quickly query data based on their needs without the tedious and time-consuming access of the TMS database through its native graphical user interface. This tool has improved the data processing and management of our department’s clinical and research practice, and will continue to be one of the most important tools used in our department. This tool was developed for an electronic patient information management system but can be easily expanded to provide the same function for other TMSs. It could bring beneficial changes to the current clinical practice – a step closer to a personalized/precision medicine.

Synthesis of Plasma Corrugated-Rod Antenna for Multi-Gigabit Wireless Technology

This paper deals with synthesis problem of corrugated rod-antenna by induced electromotive force method for using in gigabit wireless technology. The authors have interpreted survey corrugated rod-antenna as isotropic dipole system and open interpreted programming language «Python» has been used for automatic synthesis of corrugated-rod antenna. Normalized amplitude radiation patterns for different supply voltage of dipoles have been calculated in polar coordinate system. The authors executed experimental investigation of field distribution of corrugated rod-antenna length 4λ0 in which plasma discharge is used as the component of the structure. Adequacy of implemented numerical model has been verified using the comparative analysis method.

Abstracting definitional interpreters (functional pearl)

In this functional pearl, we examine the use of definitional interpreters as a basis for abstract interpretation of higher-order programming languages. As it turns out, definitional interpreters, especially those written in monadic style, can provide a nice basis for a wide variety of collecting semantics, abstract interpretations, symbolic executions, and their intermixings. But the real insight of this story is a replaying of an insight from Reynold's landmark paper, Definitional Interpreters for Higher-Order Programming Languages , in which he observes definitional interpreters enable the defined-language to inherit properties of the defining-language. We show the same holds true for definitional abstract interpreters. Remarkably, we observe that abstract definitional interpreters can inherit the so-called “pushdown control flow” property, wherein function calls and returns are precisely matched in the abstract semantics, simply by virtue of the function call mechanism of the defining-language. The first approaches to achieve this property for higher-order languages appeared within the last ten years, and have since been the subject of many papers. These approaches start from a state-machine semantics and uniformly involve significant technical engineering to recover the precision of pushdown control flow. In contrast, starting from a definitional interpreter, the pushdown control flow property is inherent in the meta-language and requires no further technical mechanism to achieve.