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Development of an Adaptive technology for Distance Learning of Microprocessor technology Based on Immunological Homeostasis

Development of an Adaptive Technology for Distance Learning ...

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2023 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2023

作者： Samigulina, Galina Samigulina, Zarina Porubov, Dmitriy Institute of Information and Computing Technologies Lab. Intellectual Control Systems and Forecasting Almaty Kazakhstan Kazakh - British Technical University School of Information Technologies and Engineering Almaty Kazakhstan East Kazakhstan Technical University Named after D. Serikbayev Competence and Technology Transfer Center in the Field of Automation and Mechatronics Ust-Kamenogorsk Kazakhstan

ISBN: (纸本)9781665475952

At present, with the development of modern IT technologies and artificial intelligence methods, it is relevant to develop adaptive distance education systems for students of technical specialties capable of providing a personalized cognitive approach to the process of obtaining knowledge and timely adjustment of the learning trajectory. Particular difficulties arise when teaching the principles of operation of complex industrial equipment based on microprocessor technology, the basics of programming and the development of automatic control systems based on them. The problems associated with the complexity of adapting technical training courses for specific students and the peculiarities of information perception in the absence of direct contact with the teacher can be successfully solved with the introduction of algorithms based on a unified artificial immune system (UAIS). An innovative e-learning technology is proposed for students of engineering specialties in order to obtain high-quality technical professional education in a short time on real industrial equipment. When creating the technology and predicting the learning outcomes of students, immunological homeostasis was used to quickly correct the learning process. UAIS was developed on the basis of modified clonal selection, negative selection and immune network algorithms in order to identify the most effective of them in predicting multivariate dynamic data about students and forming an adequate immune response to maintain immunological homeostasis. The main stages and advantages of the proposed technology are given. The simulation results were obtained with the participation of students of the Faculty of Information technology on the basis of the Kazakh-British Technical University. © 2023 IEEE.

关键词： Engineering education

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Creation of Intelligent technology Based on a Unified Artificial Immune System and the Principles of Homeostasis for the Control and automation of Complex Oil and Gas Industry Objects

Creation of Intelligent Technology Based on a Unified Artifi...

引用

2022 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022

作者： Samigulina, Galina Samigulina, Zarina Porubov, Dmitriy Lab. 'Intellectual Contr. Syst. and Forecasting' Institute of Information and Computing Technologies Almaty Kazakhstan Faculty of Information Technologies Kazakh - British Technical University Almaty Kazakhstan Competence and Technology Transfer Center in the Field of Automation and Mechatronics East Kazakhstan Technical University Named after D. Serikbayev Ust-Kamenogorsk Kazakhstan

ISBN: (纸本)9781665483698

The aim of the study is to develop theoretical foundations for creating an intelligent adaptive technology for complex objects control based on a unified artificial immune system (created on the basis of modified algorithms of artificial immune systems) using the principles of immunological homeostasis for industrial oil and gas processing enterprises, taking into account modern industrial equipment. The scientific significance and main development trends, problems and requirements for the development of such intelligent systems are considered. Information about the creation of the theory of homeostasis is given, types of homeostasis and properties of homeostatic systems are considered. The conditions for the transformation of AIS models for oil and gas industry objects are developed, taking into account modern microprocessor technology. The main stages of the developed technology and the practical value of the results obtained are described. The effectiveness of modified AIS algorithms based on the area of homeostasis was evaluated. © 2022 IEEE.

关键词： Intelligent systems

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Development of an Adaptive technology for Distance Learning of Microprocessor technology Based on Immunological Homeostasis

Development of an Adaptive Technology for Distance Learning ...

引用

International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

作者： Galina Samigulina Zarina Samigulina Dmitriy Porubov Lab. "Intellectual Control Systems and Forecasting" Institute of Information and Computing Technologies Almaty Kazakhstan School of Information Technologies and Engineering Kazakh - British Technical University Almaty Kazakhstan Competence and Technology Transfer Center in the Field of Automation and Mechatronics East Kazakhstan Technical University Named After D. Serikbayev Ust-Kamenogorsk Kazakhstan

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