Scientific Journal of Astana IT University
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FACTORS FOR ACHIEVING LEARNING OUTCOMES: OVERVIEW OF ASTANA IT UNIVERSITY’S EXPERIENCE
Get PDFThe 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
STUDY OF THE CRYPTOGRAPHIC STRENGTH OF THE S-BOX OBTAINED ON THE BASIS OF EXPONENTIATION MODULO
Get PDFThis article presents one of the main transformations of symmetric block ciphers used to protect confidential information, a new method for obtaining a non-linear S block, and an analysis of the results obtained. The S-box obtained by this method can be used as a non-linear transformation in block cipher algorithms to protect confidential data transmitted over an open channel. In most well-known works in the field of analysis and synthesis of modern block symmetric ciphers, S-box is used as a mathematical apparatus for cryptographic Boolean functions. In this case, each S-box is represented by a set of composite Boolean functions whose properties characterize the efficiency of the nonlinear substitution node. Substitution nodes for modern symmetric primitives, including key unfolding functions, are usually implemented as replacement tables. Considering that in most modern block symmetric ciphers for introducing round keys, the encryption algorithm uses a linear operation (bitwise addition modulo 2), S-blocks are the only elements responsible for the cryptographic stability of block encryption algorithms. The required number of rounds of block symmetric ciphers is selected taking into account the results of the cryptographic analysis performed, provided that the properties of S-boxes are specified. As the main criteria and performance indicators, the balance and nonlinearity of composite Boolean functions are used; strict avalanche criterion (SAC), propagation criterion; algebraic degree; the value of the autocorrelation function. In this article, a study was made of the nonlinearity and strict avalanche criterion (SAC) of the S-box used in the block symmetric encryption algorithm. The results of the study were compared with the S-boxes of modern cryptographic algorithms and showed good results
TRACKING OF NON-STANDARD TRAJECTORIES USING MPC METHODS WITH CONSTRAINTS HANDLING ALGORITHM
Get PDFIn recent decades, a Model-Based Predictive Control (MPC) has revealed its dominance over other control methods such as having an ability of constraints handling and input optimization in terms of the value function. However, the complexity of the realization of the MPC algorithm on real mechatronic systems remains one of the major challenges. Traditional predictive control approaches are based on zero regulation or a step change. Nevertheless, more complicated systems still exist that need to track setpoint trajectories.
Currently, there is an active development of robotics and the creation of transport networks of movement without human participation. Therefore, the issue of programming the given trajectories of vehicles is relevant. In this article, authors reveal the alternative solution for tracking non-standard trajectories in spheres such as robotics, IT in mechatronics, etc., that could be used in self-driving cars, drones, rockets, robot arms and any other automized systems in factories.
The ability of Model-Based Predictive Control (MPC) such as the constraints handling and optimization of input in terms of the value function makes it extremely attractive in the industry. Nevertheless, the complexity of implementation of MPC algorithm on real mechatronic systems remains one of the main challenges.
Secondly, common predictive control algorithms are based on the regulation approach or a simple step shift. However, there exist systems that are more complicated where a setpoint to be tracked is given in the form of trajectories. In this project, there were made several modifications in order to improve an MPC algorithm to make better use of information about the trajectories
APPLICATION INFORMATION MODELING AND MACHINE LEARNING ALGORITHM FOR CLASSIFICATION OF WASTE USING SUPPORT VECTOR MACHINE
Get PDFThe 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
A MODEL OF AN AUTONOMOUS SMART LIGHTING SYSTEM USING SENSORS
Get PDFTraditional street lighting systems receive data about daylight levels and adjust lighting. However, in such conditions, energy consumption increases since the sensors of such systems receive data on only one indicator which is daylight. Therefore, a suitable automated intelligent lighting system model is needed. Intelligent lighting systems can adjust the brightness of the light not only based on natural data, but also based on the movement of vehicles and people. This paper describes the development, implementation, and testing of a smart lighting system model to increase energy efficiency and high reliability. This system is controlled by a micro-controller programmed to control the lighting and receive data from sensors for processing with good efficiency. Distributed sensors record environmental conditions such as daylight and traffic. Photo-resistors change resistance in daylight to light up the streets at night. The HC-SR501 infrared motion sensor detects objects emitting infrared radiation (heat) in the controlled motion zone and sends a signal to the micro-controller. The intelligent lighting system uses LED's, which consume less energy and achieve high efficiency. Calculations show that the efficiency of using these lamps is almost 70%, compared to what is used in conventional street lighting systems
EXPERIENCE IN USING DISTANCE LEARNING TOOLS IN PROFESSIONAL DEVELOPMENT PEDAGOGICAL CORPS
Get PDFThe article presents and describes a tool for the professional development of teachers. Special attention is paid to the subject-methodical section, the implementation of which since 2020 has been taking place in an online form with the use of distance educational technologies. The article describes and presents the concepts of «e-learning» and «distance learning technologies,» and briefly presents the history of the development of distance education in the world. The article contains a description of the advantages of distance learning, as well as an analysis of the difficulties experienced by students of training courses and seminars, and advanced training of distance courses. In the post-industrial world, one of the main qualification requirements is professional mobility, determined by readiness for continuous retraining and advanced training. The education system, designed to ensure the increase of human capital, and increase the efficiency and competitiveness of the economy, should, first of all, prepare people for life in rapidly changing conditions. Therefore, the system itself must keep up with the changes taking place. The main challenge of 2020 was the emergency transfer of the educational process to a remote form using e-learning technologies. The education system did not have time to «group up» and prepare. The implementation of educational programs in a remote format required careful coordination of pedagogical activities and thoughtful administration of the process. The crisis exposed serious substantive and organizational problems in the industry and identified professional-pedagogical difficulties in the field of ICT competence: both at the level of the general user and the level of the general pedagogical component. The pedagogical community has an objective need to master new competencies. We can assume that the current situation will inevitably entail changes in the standards of training and retraining, as well as the emergence of new training programs
NEGATIVE-SAMPLING WORD-EMBEDDING METHOD (this article has been removed due simultaneous publication in another scientific journal)
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APPROACH AND STRUCTURE OF SPECIAL ORGANIZATIONAL, METHODOLOGICAL AND TECHNOLOGICAL COMPONENTS OF PROJECT AND PROGRAM PORTFOLIO MANAGEMENT SYSTEMS
Get PDFThe 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
TIME SERIES FORECASTING BY THE ARIMA METHOD
Get PDFThe variety of communication services and the growing number of different sensors with the appearance of IoT (Internet of Things) technology generate significantly different types of network traffic. This implies that the structure of network traffic will be heterogeneous, which requires deep analysis to find the internal features underlying the data. A common model for analyzing the processes of a multiservice network is a model based on time series.
Numerous empirical data studies indicate that the packet intensity time series do not belong to the general aggregates of a normal distribution.
The problem of predicting network traffic is still relevant due to managing information that flows into a heterogeneous network.
In this work, the authors studied the time series for stationarity in order to select an appropriate forecasting model. A visual assessment of the series assumed non-stationarity. The Augmented Dickey-Fuller Test is applied, and the measured network traffic is predicted using the ARIMA (Auto-Regressive Integrated Moving Average) statistical method. Results were obtained using the Econometric Modeler Matlab (R2021b) application. The results of the autocorrelation function (ACF) and partial ACF are analyzed, with the help of which the ARIMA model is optimized. As a result of the study, a software algorithm for the ARIMA (0,2,1) model was developed
FORMATION AND APPLICATION OF AN AGENT-ORIENTED MODEL IN THE MANAGEMENT OF THE OIL INDUSTRY OF THE REPUBLIC OF KAZAKHSTAN
Get PDFKazakhstan 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 study of this paper is determined by the fact that the management of the oil industry affects not only the management process itself, but also the social aspects of the implementation of the development strategy of the state as a whole. It is necessary to identify aspects of management activity and define criteria by which it is possible to calculate the effectiveness of managerial decision-making in the analyzed industry. Agent models allow us to identify the main criteria for the effectiveness of managerial decision-making and optimize social and economic costs for their implementation within the framework of interdepartmental planning. The novelty of the research is determined by the fact that agent models are based not only on the associated parameters of the management process, but also affect the possibility of planning current activities for a long period. The article shows that the formation of agent models should affect both the aspect of the formation of matrices of complex managerial actions and calculations on the accounting of competencies in making managerial decisions. The practical significance of the study is determined by the fact that the development of complex models based on agent forms allows expanding the use of forms of control over the industry by the state and other stakeholders. The implementation of a matrix form of management is proposed, taking into account balanced industry indicators of management quality