Defense of the dissertation of Akhayeva Zhanar for the degree of Doctor of Philosophy (PhD) in the educational program «8D06102 - IT management»

L.N. Gumilyov Eurasian National University, a dissertation defense for the degree of Doctor of Philosophy (PhD) by Akhayeva Zhanar on the topic «Information system for working with big data of Smart cities» in the educational program «8D06102 - IT management».

The dissertation was carried out at the Higher School of Information Technology and Engineering, Astana International University.

The language of defense is russian

Official reviewers:

Abdildayeva Assel – Doctor of Philosophy (PhD), Acting Professor of the Department of Artificial Intelligence and Big Data at Al-Farabi Kazakh National University (Almaty, Republic of Kazakhstan);

Kozbakova Ainur – Doctor of Philosophy (PhD), Associate Professor, Leading researcher at the Laboratory of Artificial Intelligence and Robotics of the RSE Institute of Information and Computing Technologies of the Committee of Science of the Ministry of Internal Affairs of the Republic of Kazakhstan (Almaty, Republic of Kazakhstan).

Temporary members of the Dissertation Council:

Stukach Oleg  –  Doctor of Technical Sciences, Professor of the Department of Information Security at Novosibirsk State Technical University (Novosibirsk, Russian Federation);

Adamova Aigul – Doctor of Philosophy (PhD), Associate Professor Astana IT University LLP (Astana, Republic of Kazakhstan);

Orazbekov Zhassulan – Doctor of Philosophy (PhD), Deputy Director for Academic Affairs of the Institute of Mathematics, Physics and Computer Science, KazNPU Abaya (Almaty, Republic of Kazakhstan).

Scientific consultants:

Zakirova Alma – Candidate of Pedagogical Sciences, Associate Professor of the Department of Informatics, L.N.Gumilev Eurasian National University (Astana, Republic of Kazakhstan);

Zhmud Vadim – Doctor of Technical Sciences, Professor, Head of the Department of Laser Systems, Faculty of Automation and Computer Engineering, Novosibirsk State Technical University (Novosibirsk, Russian Federation).

The defense will take place on June 28, 2024, at 11:00 AM in the Dissertation Council for the training direction «8D061 - Information and communication technologies» in the educational program «8D06102 - IT management» of L.N. Gumilyov Eurasian National University. The defense meeting is planned to be held in a mixed (offline and online) format.

Link: https://clck.ru/3ApBW8

Е-mail: aygoz1983@gmail.com

Address: Astana, st. A. Pushkin, 2, Educational building №2, room. №222.

Abstract (English): Dissertation work of Akhayeva Zhanar «Information system for working with big data of Smart cities» submitted for the degree of Doctor of Philosophy (PhD) in the educational program «8D06102 - IT management». The need and relevance of an information system for working with big data in smart cities is due to the growing volume of data generated by urban operations, IoT devices and citizens. This data can be used to improve various aspects of urban life, such as transportation, energy management, and utilities, but it requires efficient storage, processing, and analysis. Such a system will effectively store, process and analyze large amounts of data, providing the necessary information for making informed decisions in planning and managing the city. Taking into account that the listed problems have not yet been definitively solved, we can assume that the topic of this dissertation research is relevant and practically significant. The purpose of the dissertation research is to develop an information system for predicting water consumption in a smart city. The object of the study is the forecasting of water consumption in the city of Astana. The subject of the study is the model of an information system for accounting water consumption, analysis and forecasting Research methods. The tasks were solved using the following scientific methods: scientometric analysis and classification of ICT in the Smart City subject area, information analytical and statistical analysis, mathematical modeling, Machine learning. Research objectives. In order to achieve the research goal, the following interrelated tasks have been set and solved: 1. Analysis of the needs and problems of the city related to the concept of a Smart city. 2. Research on the possibility of developing and implementing new information systems to improve the efficiency of urban management, improve the quality of life of residents and optimize the use of resources. 3. Research on the impact of the introduction of new technologies, such as the Internet of Things, machine learning, on the development of smart cities. The scientific novelty of the research is as follows: – an expanded taxonomy of information and communication technologies in the field of Smart City research has been built, which allows to identify key areas of research; – a prototype of an information management system has been developed and new algorithms for assessing the state have been proposed, which will be used in conditions of partial and incomplete observability and will ensure effective assessments of the state of the system in real time. – conducted machine learning based on Big data, analysis and forecasting. Personal contribution of the applicant. The main scientific results of theoretical and applied research, the conclusions set out in the dissertation, were obtained by the author independently. In the works published in co-authorship, the applicant owns a significant part related to the formulation of tasks, the development of models and algorithms, as well as their software and hardware implementation and experimental research. Implementation of the results. The development of an information system in the form of a software application and experimental testing of the results was carried out on the basis of data from the Astana Su Arnasy State Enterprise. The models, methods and algorithms proposed in the dissertation will be implemented in the company GKP Astana Su Arnasy, which is confirmed by the corresponding letter. The author's certificate for the software No. 45419 dated May 03, 2024 was received. Approbation of the work and publication. The main provisions and scientific results of the work were reported and discussed at international scientific conferences: 8 author's printed works have been published on the topic of the dissertation, including 4 articles in publications recommended by the Committee for Quality Assurance in the Field of Education and Science of the Ministry of Education and Science of the Republic of Kazakhstan: 1. Akyldy kalanyn intellectualdy klik zhuyesi modelindegi ulken derekterdi ondeu processi - Scientific journal Bulletin of L.N.Gumilyov ENU, Astana, 2021, pp.64-75. 2. "Akyldy kalalaryndagi" multiagentti zhyelerdi taldau - Scientific journal Bulletin of L.N.Gumilyov ENU, Astana, 2022.pp.7-20. 3. Mashinalyk okytuga negizdelgen intellectualdy elektr zhuyeleri - Scientific journal Bulletin of L.N.Gumilyov ENU, Astana, 2022 p.30-38. 4. Smart kalanyn TKSH resursstaryn nakhty uakyt regime of zhedel baskaru usin multiagenttik zhuyeni azirleu - Scientific journal Bulletin of L.N.Gumilyov ENU, Astana, 2023 pp.127-136.; 2 articles published in publications indexed in the Scopus database:1. Remote Sensing Technique to Recognise Physical Characteristics of Water Bodies of the Republic of Kazakhstan. Ingénierie des Systèmes d’Information Vol. 28, No. 2, April, 2023, pp. 367-373 Journal homepage: http://iieta.org/journals/isi 44 percentile. 2. System of a self-organizing virtual secure communication channel based on stochastic multi-layer encryption and overlay technologies Journal of Theoretical and Applied Information Technology 31st Vol.100. No 16, August, 2022.pp.4918-4927, http://www.jatit.org/volumes/Vol100No16/3Vol100No16.pdf; 2 articles have been published in collections of international conferences abroad: 1. The impact of big data analysis on the development of Smart cities. INTERNATIONAL SCIENCE REVIEWS Natural Sciences and Technologies series Nur-Sultan, 2020, pp.52-61. 2. Theoretical and Methodological Analysis of the Essence of Distance Learning in Smart Cities of Kazakhstan. IBS Scientific Workshop Proceedings, Germany, 2020 pp.19-28 The structure of the dissertation. The dissertation consists of normative references, definitions, designations and abbreviations, an introduction, three sections, a list of sources used, and 5 appendices.

Dissertation

List of Scientific Works

Consultant's Review

Foreign Consultant's Review

Conclusion of the Research Ethics Committee

Official Reviewer's Review

Official Reviewer's Review