Scientific Journal of Astana IT University
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DISTRIBUTION OF ETHEREUM BLOCKCHAIN ADDRESSES
In the contemporary world, Ethereum is a very reliable financial saving among cryptocurrencies. It is also well known as a blockchain platform for creating and launching its own cryptocurrency. The applications run on Ethereum executed by a platform-specific cryptographic token, ether. During 2014, Ethereum had launched a pre-sale for ether, which had received an overwhelming response. Ether is used broadly for two purposes: it is traded as a digital currency exchange like other cryptocurrencies, and it is used inside Ethereum to run applications and even to monetize work. It should be noticed that the smart contract has brought a significant share of the success to Ethereum. The smart contract is a computer programme that independently performs assigned tasks between network participants without the participation of a third trusted party. Smart contracts and their intranet transactions have facilitated the rapid expansion of the Ethereum network. Smart contracts are widely represented on the market, either as electronic transaction payments or as applications for the implementation of logistics supplies, gambling, and other sectors. These transactions are irreversible and fully tracked online. Whereas the electronic records are available in a public distributed ledger and include data about user addresses, whereas the real names are hidden. The article explains the usage of decentralized accounts and their electronic transactions in the Ethereum network. The results are presented through different application sectors. Additionally, a new method for extracting blockchain records through node cluster via IPFS path is implemented in the research
EXPERT-ANALYTICAL MODEL OF MANAGEMENT QUALITY ASSESSMENT AT A CONSTRUCTION ENTERPRISE
This article develops an expert-analytical model for assessing the quality of process-oriented management of construction companies. The model differs in a two-tier approach to object evaluation by pre-evaluating the characteristics of objects and their parameters. Assessments were made in connection with the time and financial costs of resources that allow to forming an expert group, conduct a survey and analyzing its results. These results were conducted by the method of written questionnaires, which are divided into three groups: general information about the expert (age, experience, specialty, etc.), the main questions related to the problems being analyzed or evaluated, additional questions to determine the rationale for answers , competence of experts, etc. The list of possible linguistic estimations of characteristics and parameters and their numerical equivalents is formed that will give the chance to provide quality of process-oriented management on the basis of the analyzed integrated indicators of quality of management of the building enterprise. A generalized assessment of the characteristics of each of the experts of the formed group in the expert-analytical model is also formed. The list of objects, parameters and their components which are intended for an estimation of quality of management at the building enterprise is generalized. The dynamic analysis of the integrated indicator of management quality allows the institutional level of contractors to rationally plan the activities of the construction company and adjust the work in sectors (financial, production, resource, etc.) for which negative evaluations were obtained
SYNERGETIC APPROACH TO THE STUDY OF CONTROL SYSTEMS
The paper considers a new direction of scientific research – «synergetics». The key provisions and its development as a science are considered. The focus is on open feedback systems as objects of research. The properties of these systems – openness, nonlinearity, dissipation and multidimensionality, allow the use of a synergistic approach in the study. Due to new trends in information technology in recent years, interest in the new architecture of Software Defined Networks has grown. A programmable controller is used as a control mechanism for SDN networks. The connection between the logical controller and the physical network is made using the OpenFlow protocol. The graph of the network topology is presented as a set of key parameters that come to the controller. From the set of parameters, the key ones used in the study are selected. The dynamics of the ratio of key parameters under the condition of optimizing the network infrastructure is studied. The dynamics of the network corresponding to the stability condition is investigated by the methods of synergetic control theory. SDN network control is formed by methods based on the principle of self-organization of nonlinear systems. As a result, synergetic control is synthesized to increase the resistance of the control system to destructive influences. Based on the selected dynamic invariant, the possibility of providing the selection of the parameter of the SDN network management system for the transition to a controlled state is shown
MATHEMATICAL SIMULATION AND STUDY OF CONTROL STABILITY OF THE CHEMICAL-ENGINEERING PROCESSES IN INDUSTRY
This work is considered to study analysis of dynamic system for simulation of the technological process under uncertainty and complexity. To study and simulate a complicated technology process the technical scheme of roasting in fluidized bed furnaces of polymetallic sulphides ores is carried out for consideration. The choice is justified by the fact that operation line producing polymetallic sulphide ores represents a complicated process, is characterized by a large number of transient processes, presence of process variables, and deviations from technical regimes. To study process characteristics of any system functioning employing mathematical methods the process should be formalized. This means, that an adequate mathematical model needs to be developed. The choice of mathematical model depends a lot on objects ‘feature and its controllability as well as of technological scheme and complexity of processes. Chemical engineering processes are complicated physical and chemical systems. Substance flows, which are part of these systems, are, as a rule, multicomponent. Therefore, for the purpose of study and qualitative control over chemical-engineering processes it is essential to apply the method of mathematic simulation, based on system analysis strategy, analysis of its structure, mathematical formulation development and evaluation of unknown parameters. Controllability means that such system attribute as having control actions, which make it possible to transfer the system from a pre-set initial state to the required condition during a finite quantum of time. Therefore, the developed mathematical model of the process or control object should be controllable and stable
INFORMATION TECHNOLOGIES AND THE FUTURE OF EDUCATION IN THE REPUBLIC OF KAZAKHSTAN
The aim of the article is a comprehensive approach to addressing the digitalization of education in the Republic of Kazakhstan based on identifying problems in this area, forming priority tasks and possible ways to solve them. Implementation of IT-programs in the learning process making serious additions to the pedagogical requirements, ethics, and discipline of students also the content of the disciplines. All these aspects are becoming especially relevant today when the quality of education is becoming a strategic task and the key to the successful development of the country’s economy in the digital era. The article touches on the problems of the modern “digital” generation, its dependence on communication in social networks and instant messengers, the impact of this dependence on health and the level of knowledge. The algorithm for educational technologies will be the main educational goals: the ability to think outside the box, be creative in solving problems, and develop logic and intelligence. Therefore, to formulate requirements for training ICTs, it is necessary to implement measures to assess the effectiveness of implemented programs based on experimental data. Such studies are being conducted today to improve the quality of the educational process, which means that they can be used for ICT. In conclusion, if to base on the results of the survey, the main problems were identified and a number of tasks were set for a deeper study, a general idea was formed on the scope of the forthcoming work and the goals for its achievement
КОНВЕРГЕНЦИЯ И ГИБРИДИЗАЦИЯ МЕТОДОЛОГИЙ УПРАВЛЕНИЯ ПРОЕКТАМИ
Предметом статьи является разработка гибридных методологий управления проектами, программами и портфелями проектов. Существенные сокращения жизненных циклов инфраструктурных программ, которые содержат проекты различных направлений деятельности и различными методологиями управления, например «водопадные» с жестким жизненным циклом и Agile с гибким жизненным циклом методологии, требуют использования инструментов конвергенции для формирования «гибридных» методологий. Цель – разработать конвергентный подход к построению гибридных методологий управления проектами с точки зрения процессов принятия решений в управлении проектами на основе различных платформ. Результаты исследования получены на основе использования конвергентного подхода к построению методологии управления инфраструктурными проектами и программами. Представлена содержательная модель полученной гибридной методологии управления проектами и программами. Выводы: гибридные методологии управления проектами и программами становятся более востребованными в этой категории программ. Главной причиной является наличие в программе компонентов с различными жизненными циклами, а следовательно, и методологиями, которые требуют интеграции и гармонизации. Методологию проверено практикой использования механизмов систем гибридного многоуровневого управления инфраструктурными проектами и программами. Исследование гибридных методологий управления проектами и программами, определенных практикой внедрения различных, по сути, компонентов программ. Применение гибридной методологии управления проектами позволило авторам выполнить различные, по сути, проекты в оговоренные сроки с заданным бюджетом. На примере сложных строительных проектов и проектов создания информационно-коммуникационных систем управления инфраструктурой. Дальнейшие направления исследований связаны с детальной проработкой механизмов гармонизации, интеграции, конвергенции и актуализации
CALS-MODEL FOR FORMING THE ANTI-CRISIS POTENTIAL OF CONSTRUCTION ENTERPRISES
This paper considers the pecularities of the formation of econmic immunity of construction companies. A system has been proposed to improve the mechanisms of preventive protection and securement of enterprises from loss of viability and subsequent self-liquidation or bankruptcy, which allows effectively identifying existing risks and threats from micro-, meso- and macro-environments and responding to them with the preventive means through economic immunity. A new definition for the term «economic immunity» of the enterprise is proposed, which includes subsystems of monitoring, early detection of internal and external threats, assessment of the degree of danger (risks), defusion, elimination or neutralization, and formation of «memory» of the threat through a system of indicators.
The differences of economic indicators of construction enterprises, which are characterized by different levels of the anti-crisis potential use, are studied, the five most significant indicators of the use of the anti-crisis potential are identified. The rules-conditions for determining the level of activation of anti-crisis opportunities and vulnerability of enterprises to threats for economic security are formulated. Methods of identification and control of the level of anticrisis potential use of the construction enterprise in the context of digital transformation which allows estimating quality and expediency of administrative actions are developed.
The formation mechanism of the anti-crisis potential of the construction enterprise is developed. Its structure is defined, conceptual foundations of the integrated information system creation of the construction enterprise that should provide the possibility of interaction of various subsystems within the enterprise and the analysis of threats from interaction with various stakeholders are substantiated
FUZZY INFERENCE SYSTEMS BASE ON POLYNOMIAL CONSEQUENTS OF FUZZY RULES
Various fuzzy inference systems that operate on the basis of polynomial consequents of fuzzy rules. As well as inference methods for such systems, in particular, Takagi-Sugeno fuzzy inference systems, their differences from other popular fuzzy systems, such as Mamdani systems, etc., are considered. The attention is focused on the features of the functioning of such systems both in the construction of elementary fuzzy systems. The Systems for which the calculation of the general logical conclusion involves intermediate levels of logical inference with many hierarchically interconnected blocks of fuzzy rules. Fuzzy sets of type 2 are considered, the membership index of which is a fuzzy term of the first type. This allows you to take into account the secondary fuzziness of linguistic concepts in the design of intelligent systems based on fuzzy inference. Fuzzy systems of the second type based on Takagi-Sugeno systems and the iterative Karnik-Mendel algorithm are considered to obtain a logical conclusion for fuzzy systems with the interval membership functions of the second type in the antecedents of fuzzy rules. The proposed procedure for lowering the order of fuzzy rules for higher-order Takagi-Sugeno fuzzy systems is described and justified. A fuzzy inference method for higher-order fuzzy systems based on the partition of a set of input variables is proposed. It is proposed to build a separate block of fuzzy rules for each of the input subspaces in the presence of a common polynomial. Which is a higher-order consequent, that reduces the total number of fuzzy rules in blocks
PROTEIN IDENTIFICATION USING SEQUENCE DATABASES
The bottom-up proteomics approach (also known as the shotgun approach), based on the digestion of proteins in peptides and their sequencing using tandem mass spectrometry (MS/MS), has become widespread. The identification of peptides from the obtained MS/MS data is most often done using available sequence databases. This paper presents a detailed overview of the peptide identification workflow and a description of the main protein bioinformatics databases. Choosing the correct search parameters and the sequence database is essential to the success of this method, and we pay special attention to the practical aspects of searching for efficient analysis of MS/MS spectra. We also consider possible reasons why database search tools cannot find the correct sequence for some MS/MS spectra and highlight the misidentification issues that can significantly reduce the value of published data. To help assess the assignment of peptides to MS/MS spectra, we will look at the scoring algorithms that are used in the most popular database search tools. We also analyze statistical methods and computational tools for validating peptide compliance with MS/MS data. The final part describes the process of determining the identity of protein samples from a list of peptide identifications and discusses the limitations of bottom-up proteomics
THE RATIONAL USE OF COMPUTING POWER IN MODERN TRENDS IN THE DEVELOPMENT OF ELECTRONICS
This article considers methods and ways of automating software optimization using additional programs and analyzing their algorithms and the principle of operation. Since against the background of the rapid growth of computing power, the question arises about these resources’ rational use. With the development of technologies, software development is faced with the problem of degradation of the quality of created applications and the lack of search for new optimization methods. Initially, software development faced an insurmountable wall in the form of a brutal resource limit, which encouraged developers to look for newstrategies and tricks to implement the conceived project. Currently, due to breakneck pace of development of computing power, developers have lost this wall as an incentive in search of new methods of implementation and optimization. The developers faced a new problem - the rational use of computing power. For many next-generation applications, I/O constraints limit the performance level that can be achieved. A large and important class of resource-intensive applications is irregular, contains complex data-dependent execution behavior, and dynamic, with resource requirements that change over time. Because the interactions between the application and system software vary between applications and at runtime, analysts are looking to optimize performance need runtime libraries and analysis tools to uncover application I/O behavior. A Developer can use both manual optimization methods and optimizing additional software or optimizing compilers. Optimizing other software and compilers will help reduce the time spent on the optimization stage