Help Of Program Research Articles

Estimation of production rate distribution by overhaul periods of the wells

This article examines the issues of the distribution of production capacity over the actual intervals of the overhaul period of the wells under consideration. Production rates and overhaul intervals of wells are the main technical and economic indicators which are of great importance for increasing production and improving the efficiency of well stock operation in general, especially at the late stages of field development. On the basis of actual field data ranges of oil and water flow rates and values of overhaul period of wells of Balakhany-Sabunchu-Ramana field have been analyzed. Plots of distribution of flow rates and relative total production for all actual intervals of overhaul period were plotted. Mathematical models of distribution of production indicators by overhaul of wells have been obtained with the help of computer program. The results of the research allow to reveal regularities and to estimate production capacity of the considered well stock under the given operating conditions.

Pengaruh Komposisi Media Tanam dan Dosis Pupuk Nitrogen Terhadap Pertumbuhan Tanaman Bit Merah (Beta vulgaris L.)

Red beet (Beta vulgaris L.) is a plant with low productivity, so it is necessary to increase productivity by optimally cultivating plants. This study aims to examine the composition of the planting medium and the right dose of nitrogen fertilizer to increase the growth and yield of red beet plants which was carried out from March to June 2022 in Sengkrakan Hamlet, Bedali, Lawang District, Malang Regency, East Java. This study was designed using a factorial randomized block design (RAKF) with the first factor being the composition of the growing media consisting of three levels, namely, soil, soil and compost, soil and cow manure. The second factor is the dose of nitrogen fertilizer which consists of four levels, namely, 50 kg N/ha, 75 kg N/ha, 100 kg N/ha and 125 kg N/ha. The analysis used in this study is analysis of variance followed by the BNJ test at 5% level with the help of computer programs MS. Excel and SPSS. Combination treatment of soil planting media composition and cow manure with a dose of nitrogen fertilizer 50 kg N/ha can increase the height of red beet plants aged 35, 42, 63 and 70 days after planting, increase the number of leaves of red beet plants aged 14 and 28 days after planting and increase dry weight. red beet plant.

Telegram Chatbots as a Means of Learning English

The article considers the advantages of learning English with the help of computer programs, chatbots in the Telegram messenger. The spread of mobile applications has allowed using the tools of information and communication technologies in the educational process. The authors consider the relevance of using chat-bots when studying English. Existing programs as well as their possible analogues are clearly defined. The authors have analyzed the existing software products, Telegram-bots, with a full description of their functionality, as well as the evaluation of the productivity and the possibility of using them in the modern realities. The advantages and disadvantages of this technology were analyzed. Further development of machine learning will allow chatbots to function more effectively for educational purposes. Foreign language learners confirm that the preliminary practicing of English speech structures with chatbots gives a certain freedom in further communication in groups and with the teacher, as the lack of control from the teacher at the initial stage reduces their fear of making mistakes.

Propagation of solitons for the Hamiltonian amplitude equation via an analytical technique

This study investigates the Hamiltonian amplitude equation by using the generalized exponential rational function method. As a result, a variety of soliton solutions have been established with different wave structures such as optical exponential, dark, singular, periodic, periodic-singular, and hyperbolic solutions. 2D and 3D graphics of certain acquired solutions are drawn with the help of computer program. By picking appropriate values for the free parameters in the obtained solutions, the physical phenomena for these obtained solutions are graphically studied and depicted.

USE OF MODERN MUSIC AND COMPUTER TECHNOLOGIES IN THE DISCIPLINE STUDY «CHORAL ARRANGEMENT»

Modernization of the education system of Ukraine involves changing the content of the training process for future professionals in the field of computer music. Taking into account the specifics of the training of music teachers, the approach to the choice of modern educational tools is changing. This allows us to emphasize the features of professional music education in Ukraine. The urgency of this topic is due to the widespread use of computers in modern music and pedagogical practice, a significant amount of scientific work in the field of theory of computer technology and its insufficient use in the educational and creative process of students of higher education institutions. The aim of this article is to reveal and analyze modern approaches to the use and application of music and computer technology in the study of choral arrangement and their important impact on the quality of training of future music teachers. The article describes the stages of learning that take place in the study of the discipline «Choral Arrangement» and focuses on the need to introduce innovative approaches, methods, forms and teaching aids using different types of technical means, namely: computer, synthesizer, electronic textbooks, Internet technologies and modern music and computer programs. An important place in the analytical review of the literature was occupied by published materials on the use of computer technology in music education. An analysis of the main research and publications on this issue, as well as the authors’ own observations, led to the conclusion that the use of modern music and computer technology is essential in choral arranging classes. Activation of students’ independent work in performing choral arrangements with the help of computer programs «Music Editor» and computer music programs for recording, processing and arranging choral works helps to intensify learning and interest of students in their future profession.

Pengaruh Manajemen Modal Kerja Terhadap Profitabilitas Pada Perusahaan Sub Sektor Makanan dan Minuman Yang Terdaftar Di Bursa Efek Indonesia (BEI)

The existence of working capital management is very important for a company to support all activities of a company. This is because the management of working capital required by the company will determine business continuity. This study aims to examine and analyze the effect of cash turnover, accounts receivable turnover and inventory turnover on return on assets (ROA) in food and beverage subsector companies listed on the Indonesia Stock Exchange (IDX). The hypothesis tested is the independent variable, namely cash turnover, accounts receivable turnover and inventory turnover, the dependent variable is return on assets (ROA). The sample used is secondary data from financial statements listed on the Indonesia Stock Exchange (IDX). Sampling was done through purposive sampling and samples that met the selection criteria. The sample used is 21 companies. Observations were made for 5 years starting from 2016 - 2020. Data Testing and Data Processing Techniques in this study used quantitative analysis. Furthermore, it will be analyzed and tested hypotheses with the help of computer programs, namely Microsoft Excel and Eviews 10. The results showed that simultaneously cash turnover, accounts receivable turnover and inventory turnover, jointly had a significant effect on the dependent variable ROA, and partially cash turnover and inventory turnover. Inventory turnover has no significant effect on the dependent variable return on assets (ROA) while receivables turnover has a significant effect on the dependent variable return on assets (ROA).

Visual approach to higher mathematics

The article discusses the possibilities of visualizing abstract mathematical concepts with the help of computer programs for educational purposes. The use of the interactive geometric environment GeoGebra in the study of certain topics of higher mathematics at the university contributes to the formation of visual representations of the studied mathematical objects.

Застосування комп’ютерних технологій під час дослідження семантики відносних прикметників Української мови

The article considers the problems of application of computer technologies in the study of lexical semantics of relative adjectives of the Ukrainian language. Emphasis is placed on the need to create effective systems for processing semantic information by computer programs and to build high-tech language information tools for describing semantics on many parameters. The research was conducted on the basis of the electronic «Dictionary of the Ukrainian language» in 20 volumes, which is created in the Ukrainian language and information fund of the National Academy of Sciences of Ukraine. The dictionary is presented in the form of the Virtual Lexicographic Laboratory «Dictionary of the Ukrainian Language». The purpose of the article is to demonstrate the feasibility and possibilities of using computer technology in research on lexical semantics, focused on the creation of automatic systems for processing language information. The object of analysis is the dictionary articles of relative adjectives, the meaning of which in the explanatory dictionary is transferred by implicit formulas of interpretation «Adjective to…» and «Concerning to… », which only establishes the fact of connection of the meaning of adjectives with the lexical meanings of the nouns from which these adjectives are formed, which makes it impossible to analyze their semantic properties with the help of computer programs. Research methods – lexicographic analysis, theory of semantic states, corpus technology. To conduct a semantic analysis of relative adjectives of the Ukrainian language in the study used the formalism of the theory of semantic states, developed by V. A. Shirokov. The analysis was conducted within the integrated lexicographic system created in the Ukrainian Language and Information Fund of the National Academy of Sciences of Ukraine. The results of the analysis are presented in the lexicographic database «Semantics of relative adjectives» developed within the research, built for multiparametric description of semantic properties of relative adjectives of the Ukrainian language. The lexicographic database «Semantics of relative adjectives» will be a representative material for other multiparametric linguistic research in automated mode, including problems of unambiguity and ambiguity of words, word-forming semantics, creating semantic classifications, construction of a semantic dictionary for the Ukrainian language, translation dictionaries, as well as a source of source information during the formation of the Ukrainian terminological system. An explicit representation of the meaning of relative adjectives will facilitate the use of computer technology in lexical semantics research focused on creating automated systems for processing linguistic information.

Конструювання кризового наративу в українських медіа під час повномасштабного вторгнення рф

The full-scale invasion of the Russian Federation was a reason to construct a crisis narrative by Ukrainian political actors. The key issues for the narrative were not only the reasons for the invasion, but Ukraine’s readiness for it, as well as the ability to resist the Russian occupation. It’s additionally important to consider the constant attacks of Kremlin propaganda on Ukrainian public opinion and attempts to undermine the narrative proposed by the military-political leadership. In this context, it is relevant to monitor the crisis narrative as it appears in the mass media. The purpose of this study is to observe the construction of the crisis narrative through the analysis of the functions of the leading political actors (narrators) in it. Research material: news publications of «Ukrayins`ka pravda». Period: January – June 2022. Methods: content analysis, as well as modified narrative analysis based on NLP – natural language processing. The collection of material, as well as its processing was possible with the help of computer programs (Python language). It was found that attention to the leading political actors indicates that the media narratives before the invasion, during the first and second phases were changing. The significant presence of Ukrainian political actors in the media indicates that it was they who shaped these narratives. It was revealed that in January-February, attention was focused on internal events, and the threat of invasion was considered unlikely. Instead, in March-April, most hopes were placed on the help of the West and Western leaders, who were supposed to stop Russia. However, already in May-June, internal Ukrainian political actors came forward, which indicated a desire to act independently, and the very idea of «appeasement» with Russia was mostly rejected. Kuleba, Zelensky and Biden were the most popular speakers. Instead, attention to Macron’s quotes decreased over time, and Putin’s words were almost not of interest to the media at all. As for the more specific roles of political actors, Zelenskyi and Kuleba were the leading storytellers shaping Ukrainian crisis narrative.

A New Root-Finding Algorithm for Solving Real-World Problems and Its Complex Dynamics via Computer Technology

Nowadays, the use of computers is becoming very important in various fields of mathematics and engineering sciences. Many complex statistics can be sorted out easily with the help of different computer programs in seconds, especially in computational and applied Mathematics. With the help of different computer tools and languages, a variety of iterative algorithms can be operated in computers for solving different nonlinear problems. The most important factor of an iterative algorithm is its efficiency that relies upon the convergence rate and computational cost per iteration. Taking these facts into account, this article aims to design a new iterative algorithm that is derivative-free and performs better. We construct this algorithm by applying the forward- and finite-difference schemes on Golbabai–Javidi’s method which yields us an efficient and derivative-free algorithm whose computational cost is low as per iteration. We also study the convergence criterion of the designed algorithm and prove its quartic-order convergence. To analyze it numerically, we consider nine different types of numerical test examples and solve them for demonstrating its accuracy, validity, and applicability. The considered problems also involve some real-life applications of civil and chemical engineering. The obtained numerical results of the test examples show that the newly designed algorithm is working better against the other similar algorithms in the literature. For the graphical analysis, we consider some different degrees’ complex polynomials and draw the polynomiographs of the designed quartic-order algorithm and compare it with the other similar existing methods with the help of a computer program. The graphical results reveal the better convergence speed and the other graphical characteristics of the designed algorithm over the other comparable ones.

Применение компьютерных обучающих программ для переподготовки сотрудников в области телекоммуникаций

In modern world humanity regular interact with information technologies that someone creates and maintains. In these conditions, high-quality and fast training of specialists, who will have the skills and knowledge necessary for the operation of telecommunication technologies is required. One of the solutions to this problem is the development of training software complexes capable of individualizing personnel training with support of the required quality. Since in modern realities this type of training is still not widespread enough, it has a number of requirements: a friendly interface, a method for presenting educational material, consolidating the material learned, etc. Training with the help of computer programs has a number of advantages in contradistinction to traditional training, for example, such as minimal financial costs; there is not need to send an employee to courses, thereby interrupting his performance of his job duties. The main task of such programs is the effectiveness of employee training with minimal time waste. The article considers an example of the structural organization of such programs and the correct presentation of educational material in them.

A comprehensive G-Lz-ADC effectiveness evaluation model for the single communication satellite system in the context of poor information

PurposeDuring the service period of communication satellite systems, their performance is often degraded due to the depletion mechanism. In this paper, the grey system theory is applied to the multi-state system effectiveness evaluation and the grey Lz-transformation ADC (availability, dependability and capability) effectiveness evaluation model is constructed to address the characteristics of the communication satellite system such as different constituent subsystems, numerous states and the inaccuracy and insufficiency of data.Design/methodology/approachThe model is based on the ADC effectiveness evaluation method, combined with the Lz transformation and uses the definite weighted function of the three-parameter interval grey number as a bridge to incorporate the possibility of system performance being greater than the task demand into the effectiveness solution algorithm. At the same time, using MATLAB (Matrix laboratory) to solve each state probability, the same performance level in the Lz transform is combined. Then, the system effectiveness is obtained by Python.FindingsThe results show that the G-Lz-ADC model constructed in this paper can accurately evaluate the effectiveness of static/dynamic systems and certain/uncertain system and also has better applicability in evaluating the effectiveness of the multi-state complex system.Practical implicationsThe G-Lz-ADC effectiveness evaluation model constructed in this paper can effectively reduce the complexity of traditional effectiveness evaluation models by combining the same performance levels in the Lz-transform and solving the effectiveness of the system with the help of computer programming, providing a new method for the effectiveness evaluation of the complex MSS. At the same time, the weaknesses of the system can be identified, providing a theoretical basis for improving the system’s effectiveness.Originality/valueThe possibility solution method based on the definite weighted function comparing the two three-parameter interval grey numbers is constructed, which compensates for the traditional calculation of the probability based on numerical values and subjective preferences of decision-makers. Meanwhile, the effectiveness evaluation model integrates the basic theories of three-parameter interval grey number and its definite weighted function, Grey−Markov, grey universal generating function (GUGF), grey multi-state system (GMSS), etc., which is an innovative method to solve the effectiveness of a multi-state instantaneous communication satellite system.

Does Financial Performance As An Intervening Variable In Strengthening Market Value: Intellectual Capital Approach

Purpose: This research aims to determine the effect of intellectual capital on market value with financial performance as an intervening variable.
 Design/methodology/approach: This study uses quantitative methods, the population used in this study is mining companies listed on the Indonesia Stock Exchange, sampling techniques used are purposive sampling, sampling obtained 55 companies.
 Findings: This study indicates that there is a relationship between the intellectual capital variable influences Return on Assets. 
 Research limitations/implications: The analysis technique used in this study is path analysis with the Smart PLS 3.0 program's help. Intellectual capital influences market value. Intellectual capital affects the Asset Turn Over. Return on Assets does not affect market value. Asset Turn Over affects market value. This study concludes that Intellectual capital has no effect on market value with return on Asset as an intervening variable..
 Practical implications: This study concludes that Intellectual capital has no effect on market value with return on Asset as an intervening variable. Intellectual capital does not affect market value with asset turn over as an intervening variable.
 Paper type: Research paper

IMPROVING CRITICAL THINKINGABILITY THROUGH GUIDED DISCOVERY METHODS ASSISTED BY CABRI 3D SOFTWARE

This research proves that the use of knowledge of software programs such as Cabri 3D improves college students' Critical Thinking competencies compared to those with the software program's help. This evidence is accomplished to reach the development of college students' numerical thinking capacities instructed to use guided disclosure gaining knowledge of strategies assisted with the aid of using Cabri 3D with the guided discovery gaining knowledge of approach without a Computer program. This lesson experimental research takes a look at a populace of 122 people. Randomly instructions are decided on from the to be had guides divided into pattern instructions. The first experimental magnificence changed into given remedy with the aid of using Guided Discovery gaining knowledge of Method assisted with the support of using an Cabri 3D software program, at the same time as some other degree changed into given remedy with the aid of using guided discovery gaining knowledge of approach without Cabri 3D software program. The tool used on this take a look at changed into a check. Then the check effects are examined through the use of the t-check with the assist of SPSS. The check standards are rejected H0 if the table of t is smaller than the t count. Effects confirmed rely on changed into 2,785 simultaneously as the t desk changed into 2,000. The college students taught with the aid of using the guided discovery gaining knowledge of approach assisted with using Cabri 3D (First experiment) are better than without software.

Dynamic Analysis of Tapered Tall Buildings with Different Tube Structural Systems

The purpose of this study is to obtain one of the important dynamical properties, namely natural frequency (ω) for a number of tall buildings with tube and tapered tube systems. Furthermore, it presents an approximate method to analyze the free vibration of tall buildings by tube, tube-in-tube, bundled tube, and tapered tube structures. The method we have proposed would enable us to compute the natural frequency of tubular vertical and tapered tall buildings by the help of computer programming. The models were analyzed by finite element and analytical methods. The results indicate that the investigated analytical method correctly calculates the natural frequency and is in decent accord with the finite element results and has better compatibility with tapered structures without angle with higher altitude. The resulting computational error is very low. Also, this analytical method has the least error for tube systems and the highest error is for tube-in-tube systems.

CFD based thermal efficiency of square shape protruded roughened absorber plate for solar air heater

ABSTRACT In present paper, CFD technique is used to investigate the thermal efficiency of square shape protruded roughened absorber plate used in solar air heater. A 3-D CFD model of solar air heater with sixteen geometrical arrangements of roughness is analyzed under varying Reynolds number from 4000 to 20000 by using RNG k-epsilon method under transient conditions. The dimensionless geometrical parameters (P/e and e/D) having values vary from 38.8 to 61.1 and 0.016 to 0.036, respectively. The simulated results from the present study is further used to calculate the thermal efficiency of actual solar air heater with the help of computer program. Maximum enhancement in the value of performance parameters like, thermal efficiency, Nusselt number and friction factor are at minimum value of geometrical parameters (P/e) of 38.8 and at higher e/D value of 0.036. Design plot has been also proposed in order to design square shape protruded roughened solar air heater.

Tax Literacy and Leadership Agility: Indigenous Peoples Awareness in Paying Taxes

This study aims to identify and explain tax literacy and leadership agility at the awareness of indigenous peoples in paying taxes. Based on the report, land and building taxes' income is still low for the indigenous peoples of "towani tolotang" South Sulawesi. The research method used is descriptive qualitative with the Nvivo-12 plus program's help by taking a sample of
 55 respondents of the traditional leader "uwwa" who spread to the community. Data collection
 techniques through in-depth interviews and documentation. The results showed that the level of tax literacy has a significant effect on the level of awareness of paying taxes. Its influence is strengthened by applying leadership agility in the form of sensitivity, leadership unity, and resource fluidity. The implication is that with a high level of tax literacy involving leadership agility, the level of awareness of paying taxes will also be higher. The importance of this research is to increase public awareness of paying taxes, although the limitations of this research are on indigenous peoples.

Psychophysiological indicators, technical and physical fitness of young football players aged 12-13 and 15-16 at different stages of the training process

The purpose of the study is to determine the relationship of psychophysiological functions with indicators of physical and technical fitness of young football players 12-13 and 15-16 years in the preparatory and competitive periods of the annual cycle of the training process. Methods. 24 players participated in the study, 12 of them 12-13 years old; 12 players aged 15-16. Parameters characterizing the psychophysiological state, indicators of the performance of the nervous system and indicators of attention with the help of computer programs for psychophysiological testing are analyzed. Physical fitness level was also determined, determining the level of technical readiness. Testing was carried out at the beginning of the preparatory period and at the beginning of the competition period of the annual cycle of the training process. The interval between the two tests was 3 months. Results. Young players aged 15-16 years in the preparatory period, the total number of reliable relationships between psychophysiological and physical and technical indicators is less than that of young players 12-13 years in the preparatory and competitive periods. In the competitive period, players aged 15-16 years have seen an increase in the number of relationships between psychophysiological indicators and indicators of physical and technical fitness compared to the preparatory period.

Emotionality and Intertextuality in Official Discourses of Post-Soviet Authoritanian States (Kazakhstan, Belarus, and Russia)

Official discourses of Kazakhstan, Belarus and Russia are discovered with formal analysis in the article. The official discourses were represented with presidents’ web-sites. With the help of computer programs (Python language) the indicators of emotionality, direct and indirect intertextuality were calculated. The low emotionality and direct intertextuality are characteristic features of all three discourses. This underlines low intensity (or formality) of political interrelations. Average indicators of Kazakhstan and Russia discourses emotionality are (0,26; 0,24), for Belarus (0,39). These indicators are almost two times smaller, than in countries with more democratic regimes. Additionally, two types of authoritarian discourses are differentiated: more emotional and sporadic (Belarus) and less emotional stable (Kazakhstan, Russia). The positive correlation between the discourses of Kazakhstan and Russia (0,84) is discovered. Thus, similar periods of the discourses development are found: with more salient emotionality (before 2013) and unemotional period afterwards. For Belarus and Russia the periods with high indicators for indirect intertextuality (2012-2014, 2016-2017; and 2005-2010 – respectively) are discovered. The indicators’ values are explained with political interrelations imitation. The big amount of political texts (more than a half, sometimes – 80-90%) are congratulations and commemorations of authoritative leaders towards political actors’ form international community. The small period of such texts domination for Kazakhstan (2011-2012) is differentiated. Thus, the imitation of political interrelations with communication for Russia and Belarus is studied; however, this feature is not a characteristic one for Kazakhstan discourse. It’s concluded that all three discourses have artificial character of political interrelations in official discourses, which can be discovered with clear templates usage for all the political texts.

Survey on software defect prediction techniques

ABSTRACT Recent advancements in technology have emerged the requirements of hardware and software applications. Along with this technical growth, software industries also have faced drastic growth in the demand of software for several applications. For any software industry, developing good quality software and maintaining its eminence for user end is considered as most important task for software industrial growth. In order to achieve this, software engineering plays an important role for software industries. Software applications are developed with the help of computer programming where codes are written for desired task. Generally, these codes contain some faulty instances which may lead to the buggy software development cause due to software defects. In the field of software engineering, software defect prediction is considered as most important task which can be used for maintaining the quality of software. Defect prediction results provide the list of defect-prone source code artefacts so that quality assurance team scan effectively allocate limited resources for validating software products by putting more effort on the defect-prone source code. As the size of software projects becomes larger, defect prediction techniques will play an important role to support developers as well as to speed up time to market with more reliable software products. One of the most exhaustive and pricey part of embedded software development is consider as the process of finding and fixing the defects. Due to complex infrastructure, magnitude, cost and time limitations, monitoring and fulfilling the quality is a big challenge, especially in automotive embedded systems. However, meeting the superior product quality and reliability is mandatory. Hence, higher importance is given to V&V (Verification & Validation). Software testing is an integral part of software V&V, which is focused on promising accurate functionality and long-term reliability of software systems. Simultaneously, software testing requires much effort, cost, infrastructure and expertise as the development. The costs and efforts elevate in safety critical software systems. Therefore, it is essential to have a good testing strategy for any industry with high software development costs. In this work, we are planning to develop an efficient approach for software defect prediction by using soft computing based machine learning techniques which helps to predict optimize the features and efficiently learn the features.