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Iurii Teslia, , , Oleksii Yehorchenkov, Svitlana Biloshchytska, Yevheniia Kataieva, Slovak Republic Slovak Centre Of Scientific And Technical Information
Scientific Journal of Astana IT University, Volume 10, pp 119-132; https://doi.org/10.37943/ahfo5398

Abstract:
The functional limitations of modern corporate project and program management systems are presented. It is shown that the main limitation of such systems is connected with the weak implementation of organizational and methodological components, especially in the processes of project and program portfolio management. The structure of project and program portfolio management system, focused on the management of project portfolios in project-oriented companies, is proposed. The necessity of creating project and program portfolio management system in the companies involved in the implementation of a significant number of complex projects is justified. It was shown that since such systems combine organizational and methodological components, they are highly dependent on the construction of the project-oriented company itself. On its organizational structure, company management processes, peculiarities of the production process and its management. The consequence of this is the uniqueness of project and program portfolio management system. Description of organizational, methodological, and technological components of such system is given. The distinctive features of these components in different companies are described. It is shown that the organization of 3P-management is based on the creation of a service engaged in the implementation of project management in the company. The methodological component of project and program portfolio management system should be based on project management meta-methodology. And information technology should be based on a matrix model of interaction between company management tools and projects. The ways of integration of organizational, methodological and technological components of project and program portfolio management systems based on the implementation of a system-forming project of creating a project and program portfolio management system are presented.
T. Mazakov, Sh. Jomartova, G. Ziyatbekova, A. Sametova, A. Mazakova
Scientific Journal of Astana IT University, Volume 10, pp 61-67; https://doi.org/10.37943/yqte5603

Abstract:
The article is devoted to the development of a river flow modeling technique. The paper considers possible approaches to modeling the flow of fluids, as well as an analysis of existing solution methods and the formulation of research problems. The task is analyzed and the main problems that may arise in the course of its solution are identified. A general description of the problem and the formulation of research objectives are given. The advantages and disadvantages of the described methods are highlighted. A comparative analysis of known methods for complex analysis, forecasting the consequences of natural and man-made emergencies using modern technologies of mathematical modeling and a computational experiment with displaying the results in a geographic information system and a study of a mathematical model of a dam breakthrough was carried out. A description of the flood and flood monitoring technology developed in Kazakhstan is given, the results of its practical use in certain regions are discussed, and directions for further development are outlined. Thus, based on the analysis of various existing methods, the goal and main objectives of research aimed at developing a methodology for predicting a hydrodynamic accident as an emergency were formulated. The continuous wave method or ultrasonic pulse echo method is used. Based on microprocessor technology and sensors, an autonomous microcomputer system for transmitting climate data has been developed. A program for monitoring the factors of breakthrough waves in real time has been developed. An autonomous microcomputer system for transmitting climate data has been developed. The autonomous power supply subsystem for satellite data transmission systems includes a set of equipment, the functions of which are to generate and store energy for its subsequent use in order to provide power supply to the equipment. Water level measurement equipment can be different. To ensure the functioning of the system, the measuring equipment will be interfaced with the data transmission subsystem and the power supply subsystem. The pairing of these systems will make it possible to monitor the water level in moraine lakes, the location of which is extremely inaccessible. Technical means measuring the water level must be able to receive data from sensors with different periodicity. The accumulated data is used to predict possible floods and floods, calculate water consumption, and for other purposes. The characteristics of dams and the capabilities of modern control systems based on the use of microprocessor technology are analyzed.
R. Zhilmagambetova, A. Mubarakov, A. Alimagambetova
Scientific Journal of Astana IT University, Volume 10, pp 79-88; https://doi.org/10.37943/hojh1901

Abstract:
The article presents theoretical and empirical results of the study of the advantages of adaptive learning. The practice of creating and organizing adaptive learning for students using the «Moodle» platform is considered, and the results of the application of the adaptive learning model in the preparation of first and second-year students in secondary vocational education are presented. The article presents the results of the input, intermediate, and control measures that the control and experimental groups took. The results are presented both in tabular form, indicating the individual achievements of students in points, and in the form of bar charts. Based on the data obtained, it is possible to quantify the progress in the study of the discipline of mathematics and to compare the individual achievements of students. Thanks to a detailed assessment of various aspects of the results of experimental tasks, it is possible to identify with high accuracy the strengths and weaknesses in the preparation of each of the students, to give individual recommendations for further training. The verification of the validity of the coincidences and differences in the characteristics of the control and experimental groups was carried out by using the Kramer–Welch statistical criterion, which demonstrated, on the one hand, the equality of the training levels of the control and experimental groups at the beginning of the pedagogical experiment under consideration, and on the other hand, the significance of the difference in the level of training at the end of the training process through the application of the proposed methodology.
D. Nazyrova, Z. Aitkozha
Scientific Journal of Astana IT University, Volume 10, pp 68-78; https://doi.org/10.37943/eoqd2512

Abstract:
The work is devoted to the study of Landsat-8 multispectral images of not high resolution using the spectral angle method on the base of spectral signatures libraries to detect objects under construction in an urban area. The physical basis of the research method is that all objects have different reflection coefficients depending on the wavelength. This property makes it possible to identify various substances by their spectral signatures. In the work, an automatic comparison of the curves of the spectral reflectivity of objects on a low resolution space multispectral image was made to identify the identity of the characteristic energy absorption and reflection zones for detecting objects in the construction process. The article also describes the stages of image preprocessing, cross-track illumination correction of the image, atmospheric correction, and mathematical operations of bands transformation, which provide more opportunities for analysis and recognition of objects using a spectral study of a space image. The study accurately determines the presence or absence of the desired materials, since the search is based on the molecular structure of the substance. Also, the use of multispectral images allows you to analyze the entire city at the same time. The initial data was taken from a 2021 Landsat-8 satellite image with 11 bands, with a resolution of 30 meters, which was enhanced to 15 meters during pre-processing. The results of the search and detection of objects under construction in the city are given. The detection results can be used as input data for further in-depth analysis.
, Hiroshi Tanaka, Chetin Elmas, Igbal Babayev
Scientific Journal of Astana IT University, Volume 10, pp 97-106; https://doi.org/10.37943/ixym7063

Abstract:
The role and place of inspiring intuition and creativity in the management of IT projects and development programs of organizations are considered. A conceptual model of the interaction of inspiring intuition and creativity in the processes of IT project management is presented. The influence of inspiring intuition and creativity on the life cycle of innovative projects for the development of knowledge and management technologies is determined. With the help of intuition, IT project managers can anticipate new products, management processes, business areas and development. Such promising actions usually cannot be planned purely rationally, but require an “intuitive feeling.” Vision and imagination open up opportunities for action beyond the paths. This is “inspiring intuition”. This inspiring dimension of intuition has a long-lasting, holistic and gradual effect. The key competencies and strategic priorities of the organization for the implementation of the strategy of sustainable development are considered. In the process of research, two models of sustainable development based on the use of innovative projects and programs were selected. The first model, the Strategic Sustainable Development Framework (FSSD), defines three levels of creative competencies - linear, literal, and holistic. Within the framework of this model, the qualitative influences of individual competencies on the formation of inspiring intuition are determined by example. The second model is related to the application of the system of knowledge and competencies for the management of IT projects and P2M programs. Within this model, priority competencies have been identified that shape the inspiring intuition of project managers. Within the framework of the evaluations, a matrix of qualitative influences on inspiring competence in the processes of implementation of innovative projects and programs was built.
, T. Zhaxalykov
Scientific Journal of Astana IT University, Volume 10, pp 4-14; https://doi.org/10.37943/qrkj7456

Abstract:
The proposed article is devoted to the investigation of quantum key distribution protocols. The idiosyncrasy of this theme lies within the truth that present day strategies of key distribution, which utilize classical computing at their center, have critical downsides, in contrast to quantum key distribution. This issue concerns all sorts of calculations and frameworks for scrambling mystery data, both symmetric encryption with a private key and deviated encryption with an open key. A case is that in a communication channel ensured by quantum key distribution, it is conceivable to distinguish an interceptor between two legitimate organize substances utilizing the standards laid down in quantum material science at the starting of the final century. Standards and hypotheses such as the Heisenberg guideline, quantum trap, superposition, quantum teleportation, and the no-cloning hypothesis. The field of ponder of this theme may be a promising and quickly creating zone within the field of data security and data security. There are as of now made commercial items with the usage of a few of the quantum key dispersion conventions. Numerous of the made items are utilized in different circles of human movement. The significance of applying quantum key distribution conventions beneath perfect conditions without taking into consideration blunders within the frame of quantum clamor is analyzed. The usage of three quantum key distribution conventions is illustrated, as well as the comes about of the appearance of keys and the likelihood of event of each of them. The purpose of the article is pointed at analyzing and investigating quantum key distribution conventions. The article examines the points of interest and impediments of the BB84, B92, and E91 quantum key distribution conventions.
B. Imankulova, S. Alpar, S. Amanzholova
Scientific Journal of Astana IT University, Volume 10, pp 107-118; https://doi.org/10.37943/acwt2121

Abstract:
The article describes the IoT infrastructure, the hardware of the IoT system, considers the issue of security of the chosen LoRa data transmission technology. Data was received from sensors for gas, temperature and humidity, atmospheric pressure, as well as the location of the end device. At the same time, the standardized security features of the selected LoRa technology for transmitting data from sensors to the server were investigated. The article deals with LoRa bi-directional secure communication line, the security function requires devices/end devices to be configured through the LoRa gateway. Security research is devoted to the development of a security mechanism to increase its resilience. The payload was formed with a hash of the last bytes, and the entire payload was encrypted with AES for integrity and confidentiality. A method for assessing and visualizing atmospheric air pollution is given on the example of the city of Almaty, Kazakhstan. The process of numerical modeling of the study of emissions of harmful substances into the atmosphere is based on a mathematical model formed by the system of Navier-Stokes equations, consisting of the continuity equation, as well as the equations of motion and the k-epsilon turbulence model. To test the numerical methods for processing mixing and chemical reactions, a test problem was chosen – a jet in a transverse flow. Three-dimensional numerical simulation has been implemented. The use of the Internet of Things (IoT) and the acquisition of big data made it possible to simultaneously observe the concentrations of several pollutants in the atmosphere, calculate this concentration and analyze the state of the surface air layer. Modeling allows forecasting the possible concentration of pollutants in certain areas at certain times of the year.
, S. Aubakirov,
Scientific Journal of Astana IT University, Volume 10, pp 89-96; https://doi.org/10.37943/tsyv3590

Abstract:
The growth of data in social networks facilitate demand for data analysis. The field of event detection is of increasing interest to researchers. Events from real life are actively discussed in the virtual space. Event detection results can be used in a variety of applications, from digital marketing to collecting data about natural disasters. Thereby, researchers face the emergence of new algorithms along with the improvement of existing solutions in the event detection field. This paper proposes improvements to the SEDTWik (Segment-based Event Detection from Tweets using Wikipedia) algorithm. The SEDTWik algorithm is designed to detect events without contextual guidance. The overall SEDTWik detection process excludes the perspective of a topic, or multi-topic, guided (or semi-supervised) event detection approach. As a result, some interesting narrowly focused events are not detected as they are weakly relevant in a broader context (e.g., Wikipedia) although acquiring relevance within a conditioned context. Therefore, there is a need for an adaptive perspective where data is to be analysed against a set of narrower topics of interest. This paper shows that SEDTWik gains expressive power after being extended with multi-topic semi-supervision. The evaluation of the current proposal uses the well-known corpora with labeled events, Events2012. In the Events2012 dataset used notation category for events, meaning that events are combined by a certain topic. SEDTWik with topic dictionaries was checked across all categories. In the main part of the article, it is also explained the process of topic dictionary construction from Events2012 labeled tweets. At this stage of the research, in all tasks unigrams were used. SEDTWik with dictionaries showed improved accuracy, and more events were found within a certain category.
Bogdan Petrov, Arailym Bakenova, Saltanat Yensebayeva
Scientific Journal of Astana IT University, Volume 10, pp 33-44; https://doi.org/10.37943/dnsg5604

Abstract:
The development of digital technologies stimulates changes in the field of education, including for students of the educational programs «Digital Journalism» and «Media Technologies». This paper presents the practice of using a database of digital multicultural content in journalism lessons. The relevance of this scientific publication is due to the need to integrate digital technologies into the educational process and the development of students’ skills in working with programming languages. The importance of using such content is described by the modern realities of the educational system, when all members of the academic community are involved in the process of forming national identity within the country and global globalization. Kazakhstan’s conditions demonstrate the penetration of cultures of various ethnic groups, religions, which is the reality of modern teachers and students. The author offers a model for creating a database of digital multicultural content. To do this, the multicultural content of three TV channels and online publications posted on digital services is being studied. The design and structuring of web portals, interfaces, and content are studied. The author conducts quantitative and qualitative research of media materials. A parallel is drawn between the amount of digital content published on television and on Internet resources. Through lexical and compositional analysis, trends and issues of digital multicultural content are identified. The information obtained during the study was organized into a database in the PostgreSQL programming language. As an experiment, the use of the database was tested in journalism lessons when performing exercises and conducting mini-studies. At the end of the training course, a survey of students was conducted on the effectiveness of using databases in the classroom. The students’ answers are analyzed and presented in a generalized form. The methodological methods of working with students described and analyzed in this article are important material for the development of the educational goals of future journalists.
Shyngys Akhmetbek
Scientific Journal of Astana IT University, Volume 10, pp 45-60; https://doi.org/10.37943/ilmm7870

Abstract:
The ability to forecast customers’ future purchases, lifetime value, and churn are fundamental tasks in business management. These tasks become more complicated when the relationship between customers and business is not contractual. Therefore, the application of an appropriate method of customer analysis influences the efficiency of company cost management in interaction with their customers. The purpose of this paper is to compare existing solutions of customer lifetime value prediction and provide a new way to predict the future behavior of customers with consideration of the drawbacks of previous works. The method should have the following properties: use data that is available in any retail business; take into account that markets are constantly changing; be more precise than existing solutions. In this paper, we proposed the method of identifying customer churn provided a way to analyze customer behavior associated with churn or retention. In order to understand why customers churn, we used eleven customer behavioral metrics. The relationship of used metrics with churn was proved using churn cohort analysis. The results of training of logistic regression and neural network on prepared dataset showed that their forecast accuracy is in the healthy range for highly predictable churn. Based on predicted churn probabilities, we calculated the customer lifetime value in the future period. Our research results on customer behavior in the retail business confirm the hypothesis that customers who make many purchases are less likely to churn than customers who make few purchases. The main uniqueness of this work is the way of finding customer churn, as no such data was provided in the initial dataset. In addition, the minimum amount of data that most retail companies have was used. This enables the proposed methodologies to be applied to a large number of retail companies.
D. Muratuly, N. Denissova, , К. Apayev
Scientific Journal of Astana IT University, Volume 10, pp 22-32; https://doi.org/10.37943/lyfw8581

Abstract:
This article considers the relevant problem of biometric authentication of students in higher educational institutions. The authors present the results of using a turnstile system with a face recognition terminal, with the ability to provide unique biometric data in real time. The study was conducted among students of the D. Serikbayev East Kazakhstan Technical University, Ust-Kamenogorsk, Kazakhstan. The article presents the results of studies of one of the biometric methods of personality recognition. In this method, the process of proving and verifying the identity of the person can be carried out through the presentation by the user of his biometric image. The processing results are sorted and compared with typical images from the database. With its positive decision, the developed software issues the results of biometric authentication of a person who presented himself in front of a digital scanner. The applied value of the results of the work lies in the possibility of using them in the field of education, and various industries to make a decision on providing access to information resources. In the course of the study, a technology was developed to provide biometric authentication processes for university students. Domestic and foreign scientists who have made a significant contribution to the development of methods for processing facial images are noted. A review of biometric methods of recognition is carried out, and tools for electronic authentication and modern information security systems are described. Factors that significantly affect the probability of correct recognition of students’ faces are determined. The analysis of ways to increase the probability of correct recognition of students by the image of the face is carried out.
Madina Erzhankyzy Bokan
Scientific Journal of Astana IT University, Volume 10, pp 15-21; https://doi.org/10.37943/elgd6408

Abstract:
One of the most famous authors of the method is Tomas Mikolov. His software and method of theoretical application are the major ones for our consideration today. It is better to pay attention that it is more mathematically oriented. The use of embedding models to turn KGs into vector space has become a well-known field of research. In recent years, a plethora of embedding learning approaches have been proposed in the literature. Many of these models rely on data already stored in the input KG. Following the closed world assumption, the knowledge not presented in the KG cannot be judged untrue; instead, it may only be labeled as unknown. On the other hand, embedding models, like most machine learning algorithms, require negative instances to learn embeddings efficiently. To deal with this, a variety of negative sample generating strategies have been developed. The author himself had more to do with mathematics, and his method concerns, first of all, a mathematical solution for a theoretical, and then a practical solution for creating this and the method we are analyzing. Dense vector word representations have lately gained popularity as fixed-length features for machine learning algorithms, and Mikolov’s system is now widely used. We investigate one of its main components, Negative Sampling, and offer efficient distributed methods that allow us to scale to indicate and exclude the possibility of probability loss in a similar value. Furthermore, this method is laser-focused on a single action in the broad sense for processing the recognition of the above-mentioned vector or words. It is important to pay attention to mathematical theory and understand the importance of the neural network in this field.
V. Yavorskiy, M. Yesmagambetova, S. Ussenov
Scientific Journal of Astana IT University pp 61-74; https://doi.org/10.37943/aitu.2022.20.82.006

Abstract:
The paper considers the features of the use of intelligent information technologiesin the process of the emergency rescue service of the enterprise. To improve the efficiencyof the rescue services, it is necessary to carry out strategic planning and management,which would be designed to prevent the occurrence of an emergency (emergency). Effectivesubsystems of emergency proactive planning should not only predict the occurrence ofpossible emergencies, but also provide for appropriate preventive measures, and emphasisshould be placed on eliminating the underlying causes, not the emerging consequences. Thechange of modes in the event of an emergency can be effectively implemented through thedeployment of a technologically secured situational center. Decisions in emergency situationsare made in various operational situations, including crisis, and in extremely limited time.Nevertheless, they must be taken in a timely manner, be as reasonable as possible, and ensurethe fullest and most effective use of available opportunities. Decision-making processescan be based on the personal experience of participants in the management process. As youcarry out your professional activity, experience is formed, which subsequently allows you toperform some tasks much faster and more efficiently. To gain experience, it is proposed to usea knowledge management system based on ontology. In order to ensure maximum awarenessof the management of the situation, it is proposed to use the expert system of the situationcenter. (ES SC) The ES of the situational center of the authorities can significantly improvethe efficiency of management processes and provides information support for strategic andtactical management decision-making. The ES should implement tools for a comprehensiveand operational assessment of the state of the management object and situational analysis ofthe identified problems.
S. Toxanov, D. Abzhanova, A. Faizullin
Scientific Journal of Astana IT University pp 75-84; https://doi.org/10.37943/aitu.2022.90.22.007

Abstract:
According to the state program “Informational Society 2030”, it is planned todevelop education on the basis of new progressive concepts of introducing the latestinformation technologies and scientific and methodological achievements into the educationalprocess. In order to achieve goals, it is necessary to implement mobilization and effective use ofstaff and property and technical resources of the university. It is possible if there is purposefulmodeling of the information and educational portal of the university.The choice and design of teaching technology are primarily determined by the type ofstudents’ competencies and the characteristics of the planned learning outcomes for eachlevel of competence (knowledge, skills, and experience). Constant improvement of EP contentand educational technologies as a key factor of education services quality is a vital demand.The article considers the issues of the concept of ontology, IDEF-technologies and, basedon the ontological model proposed in the article, the architecture of the database of theinformation and educational portal of the university is developed and classes and propertiesfor the implementation of this model are defined, and a functional model of the university inIDEF0 is developed, which covers all types of university activities, integrates all informationflows and forms a single information space.
V. Shevtsov, A. Ismailova, U. Aitimova,
Scientific Journal of Astana IT University pp 14-21; https://doi.org/10.37943/aitu.2022.59.49.002

Abstract:
The pace at which scientific data is produced and disseminated has never been ashigh as it is currently. Modern sequencing technologies make it possible to obtain the genomeof a specific organism in a few days, and the genome of a bacterial organism in less than a day,and therefore researchers from the field of life science are faced with a huge amount of datathat needs to be analyzed. In this connection, various fields of science are converging with eachother, giving rise to new disciplines. So, bioinformatics is one of these fields, it is a scientificdiscipline that has been actively developing over the past decades and uses IT tools andmethods to solve problems related to the study of biological processes. In particular, a crucialrole in the field of bioinformatics is played by the development of new algorithms, tools andthe creation of new databases, as well as the integration of extremely large amounts of data.The rapid development of bioinformatics has made it possible to conduct modern biologicalresearch. Bioinformatics can help a biologist to extract valuable information from biologicaldata by using tools to process them. Despite the fact that bioinformatics is a relatively newdiscipline, various web and computer tools already exist, most of which are freely available.This is a review article that provides an exhaustive overview of some of the tools for biologicalanalysis available to a biologist, as well as describes the key role of information systems in thisinterdisciplinary field.
R. Zhilmagambetova, A. Mubarakov, A. Alimagambetova
Scientific Journal of Astana IT University pp 4-13; https://doi.org/10.37943/aitu.2022.33.90.001

Abstract:
The article considers the tasks and features of mathematics training for studentsof secondary vocational education. Special attention is paid to the need to solve the problemof adaptation of students to the conditions of study in college and the organization ofindependent work. In this regard, the authors propose to make wider use of the practiceof adaptive learning as innovative pedagogical tools. The article considers the concept ofthe effectiveness of adaptive personalized learning and suggests the directions by which itcan be evaluated. As an example, the experience of implementing an adaptive educationalcourse “Mathematics”, designed in the Articulate Storyline platform, is analyzed. The moduleis designed to organize and support adaptive learning of students of the Department ofInformation Systems by means of adaptive educational technologies. The results of thetraining are analyzed, and the possibilities of the Articulate Storyline platform in ensuringthe independent work of students are presented. The main part of the article is devotedto evaluating the effectiveness of e-learning using an adaptive educational platform. Withthe help of questionnaires and tools of the Articulate Storyline platform, an assessment ofthe educational result achieved was made, the degree of motivation of students to masterthe discipline of mathematics was analyzed, and the attitude of students to the process ofe-learning using an adaptive educational platform was investigated.
S. Toxanov, D. Abzhanova, A. Faizullin
Scientific Journal of Astana IT University pp 22-35; https://doi.org/10.37943/aitu.2022.48.68.003

Abstract:
Currently, there is an increase in demand for distance education programs,which actualizes the problems of organizing the educational process at universities usingthese technologies. The article highlights and describes the characteristic features andprospects of using the analysis of educational data in the information and educational portalof distance learning, in order to implement adaptive learning and learning in accordancewith dynamically formed individual trajectories. The task is to create a fundamentally newinformation system of the university using the results of the analysis of educational data. Oneof the functions of such a system is to extract knowledge from the data accumulated duringoperation. Creating own system of this type is an iterative and time-consuming process thatrequires preliminary research and step-by-step prototyping of modules. The novelty lies inthe fact that there is currently no methodology for developing such systems in Kazakhstan,so a number of experiments were conducted in order to collect data, select suitable methodsfor studying the collected data, and then interpret them. As a result of the experiment, theauthors identified the sources of educational data available for analysis in the informationenvironment of the university. The data of semester academic performance obtained from theToraighyrov University information system, data obtained as a result of independent work ofstudents and data obtained using specially developed Google-forms were taken as a basis. Aninformation and educational portal was created for the automated collection, processing andanalysis of educational data. Based on the study of students’ behavior, it becomes possibleto form recommendations for teachers to improve the content and structure, as well asrecommendations for the training of students. The data contained in the activity logs areexamined to obtain information, search for dependencies by filtering relevant logs, structuringinformation from them and providing data in a form convenient for analysis and drawingconclusions. The data of the main types of events generated as a result of recording useractions in the learning management system and scenarios for using the results of the analysisof these data are considered. The elements of the software implementation of this system aredescribed in detail, conclusions are made about the availability of the data sources used, andconclusions are drawn about the prospects for further development.
G. Azieva, A. Alimagambetova, U. Turusbekova
Scientific Journal of Astana IT University pp 36-49; https://doi.org/10.37943/aitu.2022.41.73.004

Abstract:
Kazakhstan is one of the few countries in the world rich in oil, deservedly called“black gold” because it is the most important source of energy. The relevance of the studyof this paper is determined by the fact that the management of the oil industry affects notonly the management process itself, but also the social aspects of the implementation of thedevelopment strategy of the state as a whole. It is necessary to identify aspects of managementactivity and define criteria by which it is possible to calculate the effectiveness of managerialdecision-making in the analyzed industry. Agent models allow us to identify the main criteriafor the effectiveness of managerial decision-making and optimize social and economic costsfor their implementation within the framework of interdepartmental planning. The novelty ofthe research is determined by the fact that agent models are based not only on the associatedparameters of the management process, but also affect the possibility of planning currentactivities for a long period. The article shows that the formation of agent models should affectboth the aspect of the formation of matrices of complex managerial actions and calculationson the accounting of competencies in making managerial decisions. The practical significanceof the study is determined by the fact that the development of complex models based onagent forms allows expanding the use of forms of control over the industry by the state andother stakeholders. The implementation of a matrix form of management is proposed, takinginto account balanced industry indicators of management quality.
Zh. Kenzhin, , Kh. Kassenov
Scientific Journal of Astana IT University pp 50-60; https://doi.org/10.37943/aitu.2022.15.24.005

Abstract:
In the context of the formation of an innovative economy, great attention inmanagement in recent years has been paid to the problems of mastering and implementingthe management of an organization based on quality. Quality management is one of thekey functions of both corporate and project management, the main means of achievingand maintaining the competitiveness of any organization. The historical experience of theUSA, Japan, Germany, and a number of other countries shows that ensuring the steady andharmonious development of any enterprise through the use of effective management systemsbased on quality is one of the main levers with which they managed to overcome the economiccrisis and take a strong position in the world market. The research topic is relevant due tothe great importance and significance of the integration mechanisms for the developmentof enterprises and organizations based on quality management. Thus, the construction of afunctional model allows you to develop new solutions for bringing enterprises to a new levelof development. In recent years, the role of quality in ensuring the competitiveness of productsand enterprises has significantly increased, which requires the management of organizationsto develop and implement modern management models that meet the requirements ofinternational and national standards. This article discusses an algorithm for the formationand implementation of a functional model for the development of an organization based onquality management in an educational organization. The feature of quality management policyin an educational organization is analyzed. A process of forming a functional model based onstandardization, which is based on the implementation of interrelated processes that increasethe efficiency of an organization in obtaining the intended goals, is proposed. This articledescribes the algorithm of formation and realization of the functional model of developmentof the organization on the basis of quality management in education. Analyzed features of thepolicy of quality management in educational organizations. The proposed formation process of the functional model on the basis of standardization is based on the implementation of interrelated processes that increase the organization’s effectiveness in obtaining goals.
A. Mukasheva, D. Yedilkhan, M. Aldiyar
Scientific Journal of Astana IT University pp 85-94; https://doi.org/10.37943/aitu.2022.53.85.008

Abstract:
The article is devoted to the description of the method of multidimensional database,which is an effective method of data storage, which allows analyzing data qualitatively, andmost importantly in a short time. The article discusses the capabilities of multidimensionaldatabases, in particular, multidimensional OLAP (On-Line Analytical Processing) cubes whenanalyzing large amounts of data. Provides an overview and features of a multidimensionaldatabase and discusses the steps you need to take with a multidimensional database tounderstand the structure and capabilities of an OLAP cube. To create a knowledge base, itdescribes the steps you can take to create and execute a multidimensional database thatyou can collect from various sources, save to a database, and then prepare a report usingOLAP analysis. Various information system data processing technologies such as OLTP andOLAP were considered. The algorithm of the data storage process for analysis purposes wasstudied. A model of a multidimensional database in the form of a three-dimensional cubewas presented. Examples of analysis and ways of obtaining information from the data cubewere also given. The use of a multidimensional database in higher education institutions as asimple and effective method of data storage is considered. There are also illustrations of thestructure of a higher educational institution to see the bulkiness of information, and what kindof information database operates in the educational institution.
B. Azibek, S. Kusdavletov, , ,
Published: 29 December 2021
Scientific Journal of Astana IT University pp 4-11; https://doi.org/10.37943/aitu.2021.96.94.001

Abstract:
Today, information security in defender-attacker game models is getting more attention from the research community. A game-theoretic approach applied in resource allocation study requires security in information for successive defensive strategy against attackers. For the defensive side players, allocating resources effectively and appropriately is essential to maintain the winning position against the attacking side. It can be possible by making the best response to the attack, i.e., by defining the most effective secure defensive strategy. This present work develops one defender – two attackers game model to determine the defensive strategy based on the Nash equilibrium and Stackelberg leadership equilibrium solutions of one defender-one attacker game model. Both game models are designed and studied in two scenarios: simultaneous and sequential modes. Game modes are defined according to the information that is available for attackers. In the first one, the defender is not aware of the attack and makes a simultaneous decision of how many resources should be allocated. Meanwhile, in the second mode, the defender knows about the entrance of attackers into a market and is assumed to commit a better strategy. The budget constraints are studied for both modes, all calculations and proof are presented in the work. According to obtained game mathematical models, it can be highlighted that network value of customers is important through the introduction of new variables in modeling and performing game theory equilibriums. This paper underlines the importance of information availability, budget limitations, and network value of customers in resource allocation through mathematical models and proofs; and focuses on modeling and studying defender-attacker games to define defensive strategy.
S. Omirbayev, A. Mukhatayev, A. Biloshchytskyi, K. Kassenov
Published: 29 December 2021
Scientific Journal of Astana IT University pp 63-74; https://doi.org/10.37943/aitu.2021.24.30.007

Abstract:
In this article, the authors consider the quality assurance system at the national level. The normative legal acts of the Republic of Kazakhstan contributing to the development of quality assurance at the institutional level are analyzed. The structure of state management of the quality assurance system of higher education is given. The authors show the implementation of the process of external and internal quality assurance in the country. At the same time, the internal quality assurance system is based on the principles of quality assurance and on the policy and standards of internal quality assurance, which are developed by the higher education institution independently, but on the basis of ESG. The design of the national quality assurance model is presented in a three-dimensional image. The basis of the National Model of Quality assurance of Higher Education in Kazakhstan (NMQAHE) is the system of internal quality assurance. The indicator of achievement of academic quality by the internal quality assurance system is the academic reputation of a higher educational institution. The answer to the question is given due to what the successful functioning of the national quality assurance model is achieved.
D. Chinassylov, A. Kozhamseitova, M. Kalen, R. Omirgaliyev
Published: 29 December 2021
Scientific Journal of Astana IT University pp 45-53; https://doi.org/10.37943/aitu.2021.52.74.005

Abstract:
The ecological state of the world is deteriorating for the worse every year. One of the main problems is inadequate waste disposal and inadequate sorting by waste type, which has led to inadequate treatment of bulk waste in landfills throughout the world. The issue of improper disposal of municipal solid waste (MSW) in Kazakhstan has been raised since 2013, to solve this problem, the first President of the Republic of Kazakhstan, Nursultan Abishevich Nazarbayev, issued a decree on the transition to a green economy. Under the leadership of the Ministry of Energy, it was planned to reduce the amount of inappropriate waste by 40% in the territory of Kazakhstan by 2030. There are a lot of problems in India like inadequate waste collection, transport, treatment, and disposal. Poorly recyclable garbage has a global impact, fouling oceans, obstructing sewers, and creating flooding, transferring infections, increasing respiratory problems due to burning, injuring animals that inadvertently consume waste, and affecting economic development. To classify garbage, researchers utilized a combination of mixed modeling and machine learning techniques. Using machine learning technology, the data obtained can be used to classify and redistribute garbage for any sector around the world.
S. Burbekova
Published: 29 December 2021
Scientific Journal of Astana IT University pp 21-31; https://doi.org/10.37943/aitu.2021.10.44.003

Abstract:
The article gives an overview of Astana IT University’s (AITU) experience in performing the teaching conditions for achieving the learning outcomes. The introduction of a competency-based approach to the formation and assessment of learning outcomes has led to a new system of training and assessment tools. Stakeholdership as a modern mechanism, the problem of focusing on employers’ needs, the stages of the education programme (EP) development and the criteria for assessing the learning outcomes achievement are discussed in details. The quality of education is determined by the quality of the results of the educational process, where the educational achievements of students and the qualifications of graduates become the main components of education quality. The purpose of the study is aimed to summarize the practice of using assessment tools as the key factors and conditions for establishing learning outcomes. The research methodology used is quantitative and qualitative data analysis as well as analysis of class observation in AITU done within the research on learning outcomes achievement. The choice and design of teaching technology are primarily determined by the type of students’ competencies, characteristics of the planned learning outcomes for each level of competence (knowledge, skills, and experience). Constant improvement of EP content and educational technologies as a key factor of education services quality is a vital demand.
А. Biloshchytskyi
Published: 29 December 2021
Scientific Journal of Astana IT University pp 12-20; https://doi.org/10.37943/aitu.2021.35.85.002

Abstract:
The article is devoted to the development of a mathematical model of the projectvector space of educational environments. Mathematical formalization of the project-vector space is performed. The main directions of application of vector algebra to ensure the integrity of the components of multisystem of project-vector management of educational environments are proposed. It is shown that in order to build an effective project management system, it is not so much the direction of movement of individual objects that is important, but the same or different vectors of their movement in the project-vector space. The same vectors mean that the movement of objects of different projects is equally conditioned. A model for calculating the distances between vectors and determining the optimal set of project groups (respectively, subsystems of the project management system) is proposed. Mathematical models have been developed for estimating the magnitude of the similarity of vectors over significant time intervals, as well as estimating the magnitude of the proximity of vectors specified by qualitative categories. These models show that the slower the objects of various projects move relative to each other, the more profitable it is to attribute them to one group and manage them on the basis of a single component of a multi-project management system.
A. Kalikova, S. Kusdavletov
Published: 29 December 2021
Scientific Journal of Astana IT University pp 54-62; https://doi.org/10.37943/aitu.2021.19.41.006

Abstract:
In the past several decades, there were presented different innovative technologies rather than traditional wind turbines for renewable energy that uses wind kinetic energy and remains in the air through aerodynamic forces. Unlike wind turbines with towers, their systems operate in a flight, and they are connected to a foundation by a cable that either transmits the energy generated at the airfoil or transmits mechanical energy to the ground. Nowadays, there are several existing and developing technologies; however, each of them has limitations and challenges. This work will present an analysis of air floating design for electricity generation at high altitudes. It is a tethered wind turbine with a Balloon system, which has a simple controlling system, relatively higher efficiency, and low-cost technology. The concept of the design is to model the electricity generation device powered by clean renewable energy, mainly wind power. Base on the concept of kite or helium balloon to provide enough buoyancy to keep the device working at certain altitude. To increase the energy conversion efficiency and the feasibility of the device, it is mostly used in the country, open area. Despite high efficiency which needs further investigation, the designed device is moveable, pollution free and little space consumed.
, D. Bushuev, N. Bushuyeva
Published: 29 December 2021
Scientific Journal of Astana IT University pp 32-44; https://doi.org/10.37943/aitu.2021.22.46.004

Abstract:
Global trends that occur in various fields of knowledge with a significant acceleration affect the development of information technology and project management competencies, programs, and project portfolios. The paper aims to develop and study information technology and mechanisms for assessing the competencies of project managers for their development based on current trends and flexible methodology of Agile in project management in creating modern information and communication technologies in project management. Global trends that challenge the development of project management competencies and programs are related to global acceleration, digitalization of society, development of blockchain, cloud and fog technologies, active introduction of smart systems, the transition from “Rational economy” to “Behavioral economy”, “Green economy”, “Sustainable development economy” and “Circular economy”. The convergence of these trends creates a new platform for the effective application of existing methodologies, knowledge systems, and methods of assessing the competence of project managers. Based on convergence, integration, and harmonization of project and program management methodologies, step-by-step research methods have been identified. The formation of an updated system of competencies lies in the change of paradigms from the traditional waterfall life cycle model to the Agile life cycle models of the projects. Decisionmaking in conditions of uncertainty based on data mining, from rational to irrational forms. The article examines modern hybrid information models of projects and programs that change the competency systems of project managers, convergent models and methods of decision making. At the same time, the change in competencies as actions or functions to be performed by project managers affects the competency model and evaluation system, including key competency indicators. A meaningful model of diagnostics of application of competence models and methods of project management in the digital and “behavioral economy” based on flexible methodologies is given. Some key competency indicators that are used in assessing the competence of a project manager based on his competencies in working in a project team are identified. Patterns of behavior of project managers in project product creation and project management are studied. The patterns allowed the authors to identify bottlenecks in the application of Agile project management methodologies in the convergence of trend information models and technologies. An example of information technology for managing the assessment of competence of project managers according to the IPMA Agile ICB model is given.
А. Biloshchytskyi, S. Omirbayev, A. Mukhatayev
Scientific Journal of Astana IT University pp 15-31; https://doi.org/10.37943/aitu.2021.38.59.002

Abstract:
Based on the developed mathematical model of the project-vector space, the methods of determining the endpoints of the objects of the project-vector space (PVS) and the calculation of the trajectory of the movement to these points are proposed. It is shown that the problem of developing these methods is related to the definition of such projects (project integration), which will correspond to the maximum expansion of “Universal Projects” educational environment. Calculation of the trajectory of the movement in the project-vector space ensures the achievement of the objectives of the project with minimal time and financial resources. It is proposed to use the Monte Carlo method to calculate the options for the trajectory of PVS subjects. This distribution of probabilities when choosing the displacement of objects and subjects of PVS corresponds to the priority of subjects and the impact of objects on the displacement of these subjects. For the assessment of the magnitude of the impact on the movement of PVS subjects it was developed the structure of the expert table and the model of the calculation of the average expert assessment of such an impact. Implementation of the given methods will allow to dynamically evaluate the most important goals for all interested parties of the project, as well as to develop ways to achieve them in real terms. In this case, the real conditions of the projects are described in the system of impact on the movement of objects and subjects of PVS in the expanding “Universal Projects”.
K. Izmailova, Y. Zapiechna, Y. Loktionova,
Scientific Journal of Astana IT University pp 4-14; https://doi.org/10.37943/aitu.2021.81.66.001

Abstract:
The article deals with the issue of ensuring the competitiveness of construction contractors depending on the level of business confidence, which is esteemed as the amount paid on schedule construction contracts. To improve the competitiveness of enterprises the authors propose indicators to identify the existing potential for efficiency enhancement and ensuring competitiveness depending on the level of business confidence of the enterprise. Indicators of competitiveness of construction companies are determined by fuzzy sets, including pricing policy, the efficiency of fixed assets and the level of diversification. The main direct and indirect factors of competitiveness of the contracting enterprise are outlined.
А. Mukasheva
Scientific Journal of Astana IT University pp 55-62; https://doi.org/10.37943/aitu.2021.57.68.005

Abstract:
The purpose of this article is to study one of the methods of social networks analysis – text sentiment analysis. Today, social media has become a big data base that social network analysis is used for various purposes – from setting up targeted advertising for a cosmetics store to preventing riots at the state level. There are various methods for analyzing social networks such as graph method, text sentiment analysis, audio, and video object analysis. Among them, sentiment analysis is widely used for political, social, consumer research, and also for cybersecurity. Since the analysis of the sentiment of the text involves the analysis of the emotional opinions expressed in the text, the first step is to define the term opinion. An opinion can be simple, that is, a positive, negative or neutral emotion towards a particular object or its aspect. Comparison is also an opinion, but devoid of emotional connotation. To work with simple opinions, the first task of text sentiment analysis is to classify the text. There are three levels of classifications: classification at the text level, at the level of a sentence, and at the aspect level of the object. After classifying the text at the desired level, the next task is to extract structured data from unstructured information. The problem can be solved using the five-tuple method. One of the important elements of a tuple is the aspect in which an opinion is usually expressed. Next, aspect-based sentiment analysis is applied, which involves identifying aspects of the desired object and assessing the polarity of mood for each aspect. This task is divided into two sub-tasks such as aspect extraction and aspect classification. Sentiment analysis has limitations such as the definition of sarcasm and difficulty of working with abbreviated words.
I. Chupryna, R. Tormosov, M. Oleksandr, P. Natali
Scientific Journal of Astana IT University pp 42-54; https://doi.org/10.37943/aitu.2021.51.51.004

Abstract:
European countries are recognized leaders in the use of public-private partnerships in project management for large-scale infrastructure projects, including those that contribute to energy efficiency in various sectors of the economy. Their experience is a useful example for Ukraine in its quest for energy independence and economic stability. Establishing partnerships with business will increase the resources of the state and promote the involvement of the private sector in the implementation of profitable and image projects for both stakeholders. The development of mechanisms and recommendations for the development of public-private partnership (PPP) should be preceded by an analysis of international experience in creating a favorable and attractive environment in which public-private partnerships can be intensified. Since energy efficiency is the key to the successful functioning of the economy of any state, it is necessary, creating the conditions for the successful functioning of public-private partnership, to develop programs and projects to improve energy efficiency, which will be implemented under the PPP on a priority basis.
Zh. Sultanov
Scientific Journal of Astana IT University pp 77-88; https://doi.org/10.37943/aitu.2021.48.48.007

Abstract:
In this article, computer vision is considered as modern technology of automatic processing of graphic images, and the relationship between the terms “computer vision” and “machine vision” is investigated. A diagram of a typical computer vision system is given and the possibility of using a system based on an artificial neural network for image analysis is considered. The article analyses the current situation with the use of computer vision systems and the possibility of its application. This article presents face recognition algorithms for existing categories, including: empirical method; feature method – invariant feature; use the template specified by the developer for identification; study the method of detecting the system by external signs. The empirical method of “top-down knowledge-based methods” involves creating an algorithm that implements a set of rules that image segments must satisfy in order to be recognized as faces. Feature-invariant approaches (Feature-invariant approaches) based on bottom-up knowledge constitute the second group of face detection methods. The methods of this group have the ability to recognize faces in different places as an advantage. Use the template set by the developer for identification (template matching method). Templates define specific standard images of face images, for example, describing the attributes of different areas of the face and their possible mutual positions. A method for detecting faces by external signs (a method for performing the training stage of the system by processing test images). The image (or its fragments) is somehow assigned a calculated feature vector, which is used to classify the image into two categories – human face/non-human face.
S. Stetsenko, , I. Vahovich, S. Sichnyi, L. Оleksandr
Scientific Journal of Astana IT University pp 63-76; https://doi.org/10.37943/aitu.2021.40.39.006

Abstract:
The article deals with features and principles of the price monitoring system for material and technical resources operating now in the road industry. To improve the process of information collection, processing, and analysis concerning the cost of building materials, products, and structures, as well as other types of resources, it is proposed to reinforce a centralized single database of material and technical resources on the basis of regional data. Minimization of costs for data collection, storage, processing and use is possible only with the maximum automation of electronic data collection and exchange, which is realized during the implementation of elements of the centralized monitoring system (CMS) in practice. The architecture, algorithm, and regulations for the formation of a CMS are proposed.
, R. Pasko, O. Panko, V. Zaprivoda
Scientific Journal of Astana IT University pp 76-87; https://doi.org/10.37943/aitu.2021.43.51.007

Abstract:
The paper is devoted to solving such a scientific and practical problem as the creation of computerized infocommunication systems for support building-technical expertise to determine the causes of destruction and deformation of buildings and structures. The analysis of the current state of expert activity within the framework of building-technical expertise is carried out. Perspective directions of the introduction of intelligent infocommunication systems in the course of performance of building-technical expertise and expert researches are outlined. The architecture of Intelligent Support System Building-Technical Expertise and the communication scheme of experts with the system are shown. To mapping expert knowledge formalized in the form of fuzzy associative rules to the memory card of the Cascade ARTMAP category fuzzy artificial neural network, it is proposed to use a fuzzy Mamdani-type inference system. The main input data, on the basis of which a fuzzy conclusion is realized to establish the degree of influence of various environmental factors on the technical condition of buildings and structures, are systematized and presented in a form acceptable for processing by computerized systems. At the same time, the main focus is on the study of facilities that are built and operated on subsidence loess soils. The process of formalization of heuristics, which is based on the formation of associations related to information on the position of signs of deterioration of the technical condition of the objects of expertise and the position of the changed soil, is described. Examples of interpretation and fuzzification of input information on soil properties, characteristics of the soil base of the object of building-technical expertise, and the surrounding area are given. The described approach provides an opportunity to reduce the risks of making wrong decisions by using the system as an intelligent database. The use of an artificial fuzzy neural network of the Cascade ARTMAP category gives the system the ability to form an expert conclusion on the degree of influence of various environmental factors on the technical condition of objects in the fuzzy conditions of a partially observed environment.
A. Neftisov, O. Talipov, O. Andreeva
Scientific Journal of Astana IT University pp 52-58; https://doi.org/10.37943/aitu.2021.75.95.005

Abstract:
This article discusses an innovative device designed to determine the value of the steady-state current in the primary circuit of electrical installations using reed switches and a microprocessor without the use of current transformers. The typical structure of relay protection devices is considered. The main elements are presented. When choosing a primary converter, a reed switch was taken, because it has certain advantages over current transformers. As part of the research, experimental installations for measurements were assembled. They made it possible to emulate the real conditions in which the relay protection devices have to function, unnecessary and to depict the characteristics of future devices. The code is presented that allows the microprocessor device to function according to the laid down algorithm. A device on a reed switch and a microprocessor is presented, which allows transmitting a certain amount of current in the primary circuit in digital form (binary code) to the microprocessor protection. The presented measuring device made it possible to implement a method for determining the magnitude of the steady-state short-circuit current.
G. Abitova, V. Nikulin, T. Zadenova
Scientific Journal of Astana IT University pp 4-14; https://doi.org/10.37943/aitu.2021.76.49.001

Abstract:
During the operation of the lead-zinc production while processing of polymetallic ores, problems arose related to the quality of products and the efficient use of equipment – agglomeration furnace and crushing apparatus. Previously, such issues were resolved due to the experiences and based on mathematical modeling of processes. The mathematical model for optimizing unnecessary such operating mode is a difficult program. Performing calculations is required a fairly large investment of time and resources. Therefore, the program of the mathematical model for optimizing the operating mode of the agglomeration furnace and the crushing device for sinter firing was replaced with a neural network by implementing the process of training the network based on the results of calculations on a mathematical model. The results obtained showed that neural network models were more accurate than mathematical models, which made it possible to solve production optimization problems of great complexity. The use of neural networks for modeling technological processes has made it possible to increase the efficiency of product quality control systems and automatic control systems for the roasting of sulfide polymetallic ores.
N. Ibadildin, F. Tolesh, T. Assylkhanova
Scientific Journal of Astana IT University pp 38-51; https://doi.org/10.37943/aitu.2021.55.10.004

Abstract:
This study presents preliminary results of the impact of the COVID-19 pandemic on the organization of education in universities, the transition to distance learning, the approach of students to the educational process, and their social life during online learning. The analysis shows the relevance of the selected research topic and requires further study in light of the ongoing COVID-19 pandemic. Despite the significant problems caused by the coronavirus, in general, universities have adapted to the current situation. Due to the ongoing mutations of the virus, it is not known how long the pandemic will last, so the ongoing research is important for improving the quality of education in universities in the future. Various techniques were used to collect data based on the current situation in order to reduce the likelihood of contracting the coronavirus. Quantitative and qualitative data were collected from students at various universities through an online survey disseminated through social media platforms. Collecting information took the most time. An online survey was used to collect quantitative data. Based on the qualitative data, interviews were conducted with students who had already completed an online questionnaire. Based on the results obtained, proposals were made to improve the organization of online education, attention was drawn to the need to prepare curricula and training courses for online teaching instructors and psychological support for students from universities in our country. In the future, it is planned to continue research and compare the changes with current indicators. Also, the faculty was not covered, which affects the emotional state of students and therefore requires additional attention.
, , D. Bushuiev, V. Bushuieva, N. Bushuyeva
Scientific Journal of Astana IT University pp 15-22; https://doi.org/10.37943/aitu.2021.38.94.002

Abstract:
The digital footprint of the project is its integral characteristic, reflecting both the “official” information on the project, unnecessary and any mention of the project including social networks and other Internet resources. An entropy model for assessing the success of a project is proposed. The model covers the content (semantic part), its environment, and the dynamics of implementation. The increase in informational entropy (uncertainty) of the project cannot be estimated as the sum of the increase in entropy associated with each element of the digital footprint. The main reason for this is the synergy inherent in the digital footprint. Separately insignificant elements of a digital footprint of a project of a negative nature, with their significant number and periodic appearance, cause a “snowball” effect, which leads to an increase and exaggeration of small destructive effects of individual digital footprints. Therefore, it makes no sense to consider the increase in information entropy for each element of the digital footprint of the project, but it is necessary to consider the impact of each new element of the digital footprint on the information entropy of the project. Each element of an active digital footprint is formed on time and meets the necessary requirements. The organized formation of a digital footprint promotes order in documentation, timely awareness of risks, the formation of the required level of demand for a project product, and a proactive assessment of success. The digital footprint should also help attract new stakeholders to create a favorable project image and promote the project’s product. The fulfillment of this set of conditions ensures a decrease in entropy and, as a result, the success of the project. Conversely, if active and passive digital traces of a project increase entropy, then the likelihood of project success is reduced.
O. Danchenko, D. Bedrii, O. Haidaienko, O. Bielova, O. Kravchenko, Y. Kuzminska
Scientific Journal of Astana IT University pp 23-37; https://doi.org/10.37943/aitu.2021.89.31.003

H. Tanaka,
Scientific Journal of Astana IT University pp 59-75; https://doi.org/10.37943/aitu.2021.16.52.006

Abstract:
Project development and marketing on large oil and gas projects (LOGPs) by engineering-procurement-construction (EPC) contractors respond to massive capital investment (CAPEX) undertakings by oil and gas industry owners and takes on multi-lateral interactions carried out by a dozen actors proactively participating in the EPC contractors’ business ecosystem created to remain competitive toward owner companies, which form of project marketing is different from a straight forward contractor – owner interaction found in the other branches of contracting industry. Most of such interactions are based on strategic trust among the relevant members built over decades of heavy win-win transactions. This study has found the actors that compose the project development and marketing cycle in LOGPs, explored dominant logics of EPC contractor’s project development and marketing, and analysed how primary actors in LOGP development and implementation co-create strategic values for both the respective corporations and sustainable overall industry growth. The business ecosystem theory posits that a business ecosystem is an economic community supported by interacting organizations; the company holding a leadership role is valued by the community because it enables members to move toward shared visions to align their investments – this refers to the platform services theory and to find mutually supportive roles.
S. Burbekova
Scientific Journal of Astana IT University pp 33-39; https://doi.org/10.37943/aitu.2021.80.15.003

Abstract:
The purpose of the study is aimed at performing a verification of the teaching conditions for effective communicative competence formation of the future IT professionals. Creating conditions of success, motivation enhancement, use of engaging group work, encouraging students’ participation in project work are the key factors and conditions for effective communicative competence formation. Scientific literature analysis, "communicative competence" concept clarification; analysis of pedagogical conditions of IT students’ communicative competence formation is discussed in details. Research methodology used is questionnaire, interview, quantitative and qualitative data analysis and processing of the results as well as analysis of class observation in AITU done within the IT students’ communicative competencies research. The national technological development strategy focuses both on the development of science-intensive technologies and technological cooperation and partnership. The need of society in IT specialists with a high personal and professional culture is determined by the need of a sufficient level of communicative competence to build professional relationships in workplace.
A. Kurmangaliyev
Scientific Journal of Astana IT University pp 84-93; https://doi.org/10.37943/aitu.2021.45.41.008

Abstract:
The problem with attaining education equality for various categories of the population has been one of the priority topics of social and political studies. Kazakhstan has recently stated the aim to ensure equal access for all participants in the educational process to the best resources and technologies. However, half of all state schools are in rural areas and supporting them is often inadequate in comparison to urban schools. These schools have minimal infrastructure, for example, a lack of proper Internet access and professional development opportunities for teachers. The barriers to information and communication technologies in education seem to be one of the main issues for teaching staff in rural settings. The purpose of this research was to explore the issues of ICT integration in teaching and learning processes among secondary school teachers. This multiple case study explored the experiences of eight instructors from three rural schools through semi-structured interviews, lesson observations, and curriculum analysis. The results reveal evidence of the very poor quality of the Internet in visited rural schools. The findings also demonstrate that teachers often have to use their personal mobile phones at work despite the ban from administration. This, along with the poor technological capability of the schools, negatively affects the educational process in visited schools.
S. Biloshchytska, A. Biloshchytskyi, S. Omirbayev, A. Mukhatayev, A. Faizullin, Kh. Kassenov
Scientific Journal of Astana IT University pp 11-32; https://doi.org/10.37943/aitu.2021.22.54.002

Abstract:
The article formulates the aims of HEI's activities, as well as approaches to managing all actions that ensure the achievement of the stated aims. The process approach is defined as the main one in the university management system. It is shown that the main directions of improving the activities of the university are the transition to the application of the process approach to the management of HEI and its informatization. On this basis, it is necessary to develop new, more modern university management systems that meet the contemporary requirements for the governance of multifunctional facilities and implement them in the form of process systems. We propose a conceptual model of the implementation of the functions to plan the educational process. The effects on planning functions are presented and the interrelation of these functions in the traditional form of planning is described. The tasks are formulated that need to be solved for modeling and optimizing business processes of planning and monitoring the academic workload to create an effective information technology for automating the functions of information processing. We propose a structural model for the implementation of information and procedural components of IT for planning and monitoring the educational environment. The implementation of this model in software provides the calculation of the optimal planned workload of students and teachers, considering the conditions in which the educational process is implemented.
V. Serbin, U. Zhenisserov
Scientific Journal of Astana IT University pp 94-100; https://doi.org/10.37943/aitu.2021.47.22.009

Abstract:
Since the stock market is one of the most important areas for investors, stock market price trend prediction is still a hot subject for researchers in both financial and technical fields. Lately, a lot of work has been analyzed and done in the field of machine learning algorithms for analyzing price patterns and predicting stock prices and index changes. Currently, machine-learning methods are receiving a lot of attention for predicting prices in financial markets. The main goal of current research is to improve and develop a system for predicting future prices in financial markets with higher accuracy using machine-learning methods. Precise predicting stock market returns is a very difficult task due to the volatile and non-linear nature of financial stock markets. With the advent of artificial intelligence and machine learning, forecasting methods have become more effective at predicting stock prices. In this article, we looked at the machine learning techniques that have been used to trade stocks to predict price changes before an actual rise or fall in the stock price occurs. In particular, the article discusses in detail the use of support vector machines, linear regression, and prediction using decision stumps, classification using the nearest neighbor algorithm, and the advantages and disadvantages of each method. The paper introduces parameters and variables that can be used to recognize stock price patterns that might be useful in future stock forecasting, and how the boost can be combined with other learning algorithms to improve the accuracy of such forecasting systems.
Sh. Akhmetzhanova, A. Adilova
Scientific Journal of Astana IT University pp 4-10; https://doi.org/10.37943/aitu.2021.24.37.001

Abstract:
The article describes development of an information system for storing the results of scientific work of the Taraz Regional University named after M. H. Dulaty. Today, such works are organized in a non-automated way. In addition, this leads to a number of anomalies, namely: errors in data entry, their duplication, complexity of preparing reports, difficulties in finding the necessary information because of the lack of the information system. In order to solve such problems and to improve data quality it is necessary to create research analytical information system that allow to reduce manual workload and use simple and convenient access system to stored information using various queries. The aspects of creating a research information system described in the article can be implemented in any higher educational institution of the Republic of Kazakhstan. In order to create an information system, a functional model was created using the Fusion Process Modeler 4.0 CASE-system. After the decomposition of the diagram, five functions were identified: "Accounting the research staff", "Research", "Accounting the publications", "Dissertation defense", "Reporting". Modern tools are used in the development of a system for analyzing and monitoring the research activities of TarRU: PHP scripting language, which is widely used for web applications, JavaScript, which is well known as a scripting language for interactivity on web pages in browsers, Microsoft SQL Server relational database management system.
, S. Murzabekova, M. Khussainova
Scientific Journal of Astana IT University pp 52-62; https://doi.org/10.37943/aitu.2021.97.75.005

Abstract:
The subject of the article is development of project, programs and project portfolios management systems with drivers of innovation in Agile transformation of Education Establishment is considered. Substantial changes in the environment require further research into the effectiveness of the application of existing agile methodologies, knowledge systems and competencies of project managers and their leadership. The foundations of environmental change lie in changing the decision-making paradigm in innovation project and programs management in Agile transformation of Education Establishment. The goal is to explore modern approaches to leadership formation when applying agile methodologies of its specificity from the point of view of decision-making processes in project management. The problems of leadership creation and development in the application of agile project management methodologies for the implementation of information and communication systems are considered. The results of studies were conducted on the basis of a competency-based approach modelled by the International Project Management Association. The content model of competency of the leader applying agile management is presented. Conclusion: The Agile leadership and leadership behaviour patterns are formed in a project management behavioural competency system based on agile technology methods and tools. These competencies included: Self-reflection and self-management, Personal integrity and reliability, Personal communication, Relationships and interaction, Leadership, Teamwork, Conflicts and crises, Inventiveness, Reconciliation, and Orientation to results. The patterns of project managers' behaviour as agile leaders in project product creation and agile project management are explored. The differences in the behaviour patterns of leaders and agile leaders were examined by behavioural competencies within the identified key competency indicators. Such patterns allowed the authors to identify bottlenecks in the application of agile project management methodologies in the context of the development of innovative products of innovation systems.
A. Kalikova
Scientific Journal of Astana IT University pp 77-83; https://doi.org/10.37943/aitu.2021.99.34.007

Abstract:
This paper describes an investigation of analytical formulas for parameters in random walks. Random walks are used to model situations in which an object moves in a sequence of steps in randomly chosen directions. Given a graph and a starting point, we select a neighbor of it at random, and move to this neighbor; then we select a neighbor of this point at random, and move to it etc. It is a fundamental dynamic process that arise in many models in mathematics, physics, informatics and can be used to model random processes inherent to many important applications. Different aspects of the theory of random walks on graphs are surveyed. In particular, estimates on the important parameters of hitting time, commute time, cover time are discussed in various works. In some papers, authors have derived an analytical expression for the distribution of the cover time for a random walk over an arbitrary graph that was tested for small values of n. However, this work will show the simplified analytical expressions for distribution of hitting time, commute time, cover time for bigger values of n. Moreover, this work will present the probability mass function and the cumulative distribution function for hitting time, commute time.
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